MACD Enhanced [DCAUT]█ MACD Enhanced
📊 ORIGINALITY & INNOVATION
The MACD Enhanced represents a significant improvement over traditional MACD implementations. While Gerald Appel's original MACD from the 1970s was limited to exponential moving averages (EMA), this enhanced version expands algorithmic options by supporting 21 different moving average calculations for both the main MACD line and signal line independently.
This improvement addresses an important limitation of traditional MACD: the inability to adapt the indicator's mathematical foundation to different market conditions. By allowing traders to select from algorithms ranging from simple moving averages (SMA) for stability to advanced adaptive filters like Kalman Filter for noise reduction, this implementation changes MACD from a fixed-algorithm tool into a flexible instrument that can be adjusted for specific market environments and trading strategies.
The enhanced histogram visualization system uses a four-color gradient that helps communicate momentum strength and direction more clearly than traditional single-color histograms.
📐 MATHEMATICAL FOUNDATION
The core calculation maintains the proven MACD formula: Fast MA(source, fastLength) - Slow MA(source, slowLength), but extends it with algorithmic flexibility. The signal line applies the selected smoothing algorithm to the MACD line over the specified signal period, while the histogram represents the difference between MACD and signal lines.
Available Algorithms:
The implementation supports a comprehensive spectrum of technical analysis algorithms:
Basic Averages: SMA (arithmetic mean), EMA (exponential weighting), RMA (Wilder's smoothing), WMA (linear weighting)
Advanced Averages: HMA (Hull's low-lag), VWMA (volume-weighted), ALMA (Arnaud Legoux adaptive)
Mathematical Filters: LSMA (least squares regression), DEMA (double exponential), TEMA (triple exponential), ZLEMA (zero-lag exponential)
Adaptive Systems: T3 (Tillson T3), FRAMA (fractal adaptive), KAMA (Kaufman adaptive), MCGINLEY_DYNAMIC (reactive to volatility)
Signal Processing: ULTIMATE_SMOOTHER (low-pass filter), LAGUERRE_FILTER (four-pole IIR), SUPER_SMOOTHER (two-pole Butterworth), KALMAN_FILTER (state-space estimation)
Specialized: TMA (triangular moving average), LAGUERRE_BINOMIAL_FILTER (binomial smoothing)
Each algorithm responds differently to price action, allowing traders to match the indicator's behavior to market characteristics: trending markets benefit from responsive algorithms like EMA or HMA, while ranging markets require stable algorithms like SMA or RMA.
📊 COMPREHENSIVE SIGNAL ANALYSIS
Histogram Interpretation:
Positive Values: Indicate bullish momentum when MACD line exceeds signal line, suggesting upward price pressure and potential buying opportunities
Negative Values: Reflect bearish momentum when MACD line falls below signal line, indicating downward pressure and potential selling opportunities
Zero Line Crosses: MACD crossing above zero suggests transition to bullish bias, while crossing below indicates bearish bias shift
Momentum Changes: Rising histogram (regardless of positive/negative) signals accelerating momentum in the current direction, while declining histogram warns of momentum deceleration
Advanced Signal Recognition:
Divergences: Price making new highs/lows while MACD fails to confirm often precedes trend reversals
Convergence Patterns: MACD line approaching signal line suggests impending crossover and potential trade setup
Histogram Peaks: Extreme histogram values often mark momentum exhaustion points and potential reversal zones
🎯 STRATEGIC APPLICATIONS
Comprehensive Trend Confirmation Strategies:
Primary Trend Validation Protocol:
Identify primary trend direction using higher timeframe (4H or Daily) MACD position relative to zero line
Confirm trend strength by analyzing histogram progression: consistent expansion indicates strong momentum, contraction suggests weakening
Use secondary confirmation from MACD line angle: steep angles (>45°) indicate strong trends, shallow angles suggest consolidation
Validate with price structure: trending markets show consistent higher highs/higher lows (uptrend) or lower highs/lower lows (downtrend)
Entry Timing Techniques:
Pullback Entries in Uptrends: Wait for MACD histogram to decline toward zero line without crossing, then enter on histogram expansion with MACD line still above zero
Breakout Confirmations: Use MACD line crossing above zero as confirmation of upward breakouts from consolidation patterns
Continuation Signals: Look for MACD line re-acceleration (steepening angle) after brief consolidation periods as trend continuation signals
Advanced Divergence Trading Systems:
Regular Divergence Recognition:
Bullish Regular Divergence: Price creates lower lows while MACD line forms higher lows. This pattern is traditionally considered a potential upward reversal signal, but should be combined with other confirmation signals
Bearish Regular Divergence: Price makes higher highs while MACD shows lower highs. This pattern is traditionally considered a potential downward reversal signal, but trading decisions should incorporate proper risk management
Hidden Divergence Strategies:
Bullish Hidden Divergence: Price shows higher lows while MACD displays lower lows, indicating trend continuation potential. Use for adding to existing long positions during pullbacks
Bearish Hidden Divergence: Price creates lower highs while MACD forms higher highs, suggesting downtrend continuation. Optimal for adding to short positions during bear market rallies
Multi-Timeframe Coordination Framework:
Three-Timeframe Analysis Structure:
Primary Timeframe (Daily): Determine overall market bias and major trend direction. Only trade in alignment with daily MACD direction
Secondary Timeframe (4H): Identify intermediate trend changes and major entry opportunities. Use for position sizing decisions
Execution Timeframe (1H): Precise entry and exit timing. Look for MACD line crossovers that align with higher timeframe bias
Timeframe Synchronization Rules:
Daily MACD above zero + 4H MACD rising = Strong uptrend context for long positions
Daily MACD below zero + 4H MACD declining = Strong downtrend context for short positions
Conflicting signals between timeframes = Wait for alignment or use smaller position sizes
1H MACD signals only valid when aligned with both higher timeframes
Algorithm Considerations by Market Type:
Trending Markets: Responsive algorithms like EMA, HMA may be considered, but effectiveness should be tested for specific market conditions
Volatile Markets: Noise-reducing algorithms like KALMAN_FILTER, SUPER_SMOOTHER may help reduce false signals, though results vary by market
Range-Bound Markets: Stability-focused algorithms like SMA, RMA may provide smoother signals, but individual testing is required
Short Timeframes: Low-lag algorithms like ZLEMA, T3 theoretically respond faster but may also increase noise
Important Note: All algorithm choices and parameter settings should be thoroughly backtested and validated based on specific trading strategies, market conditions, and individual risk tolerance. Different market environments and trading styles may require different configuration approaches.
📋 DETAILED PARAMETER CONFIGURATION
Comprehensive Source Selection Strategy:
Price Source Analysis and Optimization:
Close Price (Default): Most commonly used, reflects final market sentiment of each period. Best for end-of-day analysis, swing trading, daily/weekly timeframes. Advantages: widely accepted standard, good for backtesting comparisons. Disadvantages: ignores intraday price action, may miss important highs/lows
HL2 (High+Low)/2: Midpoint of the trading range, reduces impact of opening gaps and closing spikes. Best for volatile markets, gap-prone assets, forex markets. Calculation impact: smoother MACD signals, reduced noise from price spikes. Optimal when asset shows frequent gaps, high volatility during specific sessions
HLC3 (High+Low+Close)/3: Weighted average emphasizing the close while including range information. Best for balanced analysis, most asset classes, medium-term trading. Mathematical effect: 33% weight to high/low, 33% to close, provides compromise between close and HL2. Use when standard close is too noisy but HL2 is too smooth
OHLC4 (Open+High+Low+Close)/4: True average of all price points, most comprehensive view. Best for complete price representation, algorithmic trading, statistical analysis. Considerations: includes opening sentiment, smoothest of all options but potentially less responsive. Optimal for markets with significant opening moves, comprehensive trend analysis
Parameter Configuration Principles:
Important Note: Different moving average algorithms have distinct mathematical characteristics and response patterns. The same parameter settings may produce vastly different results when using different algorithms. When switching algorithms, parameter settings should be re-evaluated and tested for appropriateness.
Length Parameter Considerations:
Fast Length (Default 12): Shorter periods provide faster response but may increase noise and false signals, longer periods offer more stable signals but slower response, different algorithms respond differently to the same parameters and may require adjustment
Slow Length (Default 26): Should maintain a reasonable proportional relationship with fast length, different timeframes may require different parameter configurations, algorithm characteristics influence optimal length settings
Signal Length (Default 9): Shorter lengths produce more frequent crossovers but may increase false signals, longer lengths provide better signal confirmation but slower response, should be adjusted based on trading style and chosen algorithm characteristics
Comprehensive Algorithm Selection Framework:
MACD Line Algorithm Decision Matrix:
EMA (Standard Choice): Mathematical properties: exponential weighting, recent price emphasis. Best for general use, traditional MACD behavior, backtesting compatibility. Performance characteristics: good balance of speed and smoothness, widely understood behavior
SMA (Stability Focus): Equal weighting of all periods, maximum smoothness. Best for ranging markets, noise reduction, conservative trading. Trade-offs: slower signal generation, reduced sensitivity to recent price changes
HMA (Speed Optimized): Hull Moving Average, designed for reduced lag. Best for trending markets, quick reversals, active trading. Technical advantage: square root period weighting, faster trend detection. Caution: can be more sensitive to noise
KAMA (Adaptive): Kaufman Adaptive MA, adjusts smoothing based on market efficiency. Best for varying market conditions, algorithmic trading. Mechanism: fast smoothing in trends, slow smoothing in sideways markets. Complexity: requires understanding of efficiency ratio
Signal Line Algorithm Optimization Strategies:
Matching Strategy: Use same algorithm for both MACD and signal lines. Benefits: consistent mathematical properties, predictable behavior. Best when backtesting historical strategies, maintaining traditional MACD characteristics
Contrast Strategy: Use different algorithms for optimization. Common combinations: MACD=EMA, Signal=SMA for smoother crossovers, MACD=HMA, Signal=RMA for balanced speed/stability, Advanced: MACD=KAMA, Signal=T3 for adaptive behavior with smooth signals
Market Regime Adaptation: Trending markets: both fast algorithms (EMA/HMA), Volatile markets: MACD=KALMAN_FILTER, Signal=SUPER_SMOOTHER, Range-bound: both slow algorithms (SMA/RMA)
Parameter Sensitivity Considerations:
Impact of Parameter Changes:
Length Parameter Sensitivity: Small parameter adjustments can significantly affect signal timing, while larger adjustments may fundamentally change indicator behavior characteristics
Algorithm Sensitivity: Different algorithms produce different signal characteristics. Thoroughly test the impact on your trading strategy before switching algorithms
Combined Effects: Changing multiple parameters simultaneously can create unexpected effects. Recommendation: adjust parameters one at a time and thoroughly test each change
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Response Characteristics by Algorithm:
Fastest Response: ZLEMA, HMA, T3 - minimal lag but higher noise
Balanced Performance: EMA, DEMA, TEMA - good trade-off between speed and stability
Highest Stability: SMA, RMA, TMA - reduced noise but increased lag
Adaptive Behavior: KAMA, FRAMA, MCGINLEY_DYNAMIC - automatically adjust to market conditions
Noise Filtering Capabilities:
Advanced algorithms like KALMAN_FILTER and SUPER_SMOOTHER help reduce false signals compared to traditional EMA-based MACD. Noise-reducing algorithms can provide more stable signals in volatile market conditions, though results will vary based on market conditions and parameter settings.
Market Condition Adaptability:
Unlike fixed-algorithm MACD, this enhanced version allows real-time optimization. Trending markets benefit from responsive algorithms (EMA, HMA), while ranging markets perform better with stable algorithms (SMA, RMA). The ability to switch algorithms without changing indicators provides greater flexibility.
Comparative Performance vs Traditional MACD:
Algorithm Flexibility: 21 algorithms vs 1 fixed EMA
Signal Quality: Reduced false signals through noise filtering algorithms
Market Adaptability: Optimizable for any market condition vs fixed behavior
Customization Options: Independent algorithm selection for MACD and signal lines vs forced matching
Professional Features: Advanced color coding, multiple alert conditions, comprehensive parameter control
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always combine with proper risk management and thorough strategy testing.
在脚本中搜索"high low"
cd_VWAP_mtg_CxCd_VWAP_mtg_Cx
Overview
The most important condition for being successful and profitable in the market is to consistently follow the same rules without compromise, while the price constantly moves in countless different ways.
Regardless of the concept or trading school, those who have rules win.
In this indicator, we will define and use three main sections to set and apply our rules.
The indicator uses the VWAP (Volume Weighted Average Price) — price weighted by volume.
Two VWAPs can be displayed either by manually entering date and time, or by selecting from the menu.
From the menu, you can select the following reference levels:
• HTF Open: Opening candle of the higher timeframe
• ATH / ATL: All-Time High / All-Time Low candles
• PMH / PML, PWH / PWL, PDH / PDL, PH4H / PH4L: Previous Month, Week, Day, or H4 Highs/Lows
• MH / ML, WH / WL, DH / DL, H4H / H4L: Current Month, Week, Day, or H4 Highs/Lows
Additionally, it includes:
• Mitigation / Order Block zones (local buyer-seller balance) across two timeframes.
• Buy/Sell Side Liquidity levels (BSL / SSL) from the aligned higher timeframe (target levels).
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Components and Usage
1 – VWAP
Calculated using the classical method:
• High + Volume for the upper value
• Close + Volume for the middle value
• Low + Volume for the lower value
The VWAP is displayed as a colored band, where the coloring represents the bias.
Let’s call this band FVB (Fair Value Band) for ease of explanation.
The FVB represents the final line of defense, the buyer/seller boundary, and in technical terms, it can be viewed as premium/discount zones or support/resistance levels.
Within this critical area, the strong side continues its move, while the weaker side is forced to retreat.
But does the side that breaks beyond the band always keep going?
We all know that’s not always the case — in different pairs and timeframes, price often violates both the upper and lower edges multiple times.
To achieve more consistent analysis, we’ll define a new set of rules.
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2 – Mitigation / Order Blocks
In trading literature, there are dozens of different definitions and uses of mitigation or order blocks.
Here, we will interpret the candlesticks to create our own definition, and we’ll use the zones defined by candles that fit this pattern.
For simplicity, let’s abbreviate mitigation as “mtg.”
For a candle to be selected as an mtg, it must clearly show strength from one side (buyers or sellers) — which can also be observed visually on the chart.
________________________________________
Bullish mtg criteria:
1. The first candle must be bullish (close > open) → buyers are strong.
2. The next candle makes a new high (buyers push higher) but fails to close above and pulls back to close inside the previous range → sellers react.
It also must not break the previous low → buyers defend.
3. In the following candle(s), as long as the first candle’s low is protected and the second candle’s high is broken, it indicates buyer strength → a bullish mtg is confirmed.
When price returns to this zone later (gets mitigated), the expectation is that the zone holds and price pushes upward again.
If the low is violated, the mtg becomes invalid.
In technical terms:
If the previous candle’s high is broken but no close occurs above it, the expectation is a reversal move that will retest its low.
Question:
What if the low is protected and in the next candle(s) a new high forms?
Answer: → Bullish mtg.
Bearish mtg (opposite)
3 – Buy/Sell Side Liquidity Levels
With the help of the aligned higher timeframe (swing points), we will define our market structure framework and set our liquidity targets accordingly.
Let’s put the pieces together.
If we continue explaining from a trade-focused perspective, our first priority should be our bias — our projection or expectation of the market’s potential movement.
We will determine this bias using the FVB.
Since we know the band often gets violated on both sides, we want the price action to convince us of its strength.
To do that, we’ll use the first candle that closes beyond the band.
The distance from that candle’s high to low will be our threshold range
Bullish level = high + (candle length × coefficient)
Bearish level = low - (candle length × coefficient)
When the price closes beyond this threshold, it demonstrates strength, and our bias will now align in that direction.
How long will this bias remain valid?
→ Until a closing candle appears on the opposite side of the band.
If a close occurs on the opposite side, then a new bias will only be confirmed once the new threshold level is broken.
During the period in between, we have no bias.
Let’s continue on the chart:
Now that our bias has been established, where and how do we look for trade opportunities?
There are two possible entry approaches:
• Aggressive entry: Enter immediately with the breakout.
• Conservative entry: Wait for a pullback and enter once a suitable structure forms.
(The choice depends on the user’s preference.)
At this stage, the user can apply their own entry model. Let’s give an example:
Let’s assume we’re looking for setups using HTF sweep + LTF CISD confirmation.
Once our bias turns bearish, we look for an HTF sweep forming on or near an FVB or mtg block, and then confirm the entry with a CISD signal.
In summary:
• FVB defines the bias, the entry zone, and the target zone.
• Mtg blocks represent entry zones.
• BSL / SSL levels suggest target zones.
Overlapping FVB and mtg blocks are expected to be more effective.
The indicator also provides an option for a second FVB.
A band attached to a lower timeframe can be used as confirmation.
• Main band: Bias + FVB
• Extra band: Entry trigger confirmed by a close beyond it.
Mtg blocks can provide trade entry opportunities, especially when the price is moving strongly in one direction (flow).
Consecutive or complementary mtg blocks indicate that the price is decisive in one direction, while sometimes also showing areas where we should wait before entering.
Mtg blocks that contain an FVG (Fair Value Gap) within their body are expected to be more effective.
Settings:
The default values are set to 1-3-5m, optimized for scalping trades.
VWAP settings:
Main VWAP (FVB):
• Can be set by selecting a start time, manually entering date and time, or choosing a predefined level.
Extra VWAP (FVB):
• Set from the menu. If not needed, select “none.”
• Visibility, color, and fill settings for VWAP are located here.
• Threshold levels visibility and color options are also in this section.
• The multiplier is used for calculating the threshold level.
Important:
• If the Extra VWAP is selected but not displayed, you need to increase the chart timeframe.
o Example: If the chart is on 3m and you select WH from the extra options, it will not display correctly.
• Upper limits for VWAP:
o 1m and 3m charts: daily High/Low
o 5m chart: weekly High/Low
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Mtg Settings:
• Visibility and color settings for blocks are configured here.
• To display on a second timeframe, the box must be checked and the timeframe specified.
• Optional display modes: “only active blocks,” “only last violated mtg,” or “all.”
• For confirmation and removal criteria, choosing high/low or close determines the source used for mtg block formation and deletion conditions.
BSL/SSL Settings:
• Visibility, color, font size, and line style can be configured in this section.
When “Auto” is selected, the aligned timeframe is determined automatically by the indicator, while in manual mode, the user defines the timeframe.
Final Words:
Simply opening trades every time the price touches the VWAP or mtg blocks will not make you a profitable trader. Searching for setups with similar structures while maintaining proper risk management will yield better results in the long run.
I would be happy to hear your feedback and suggestions.
Happy trading!
Rsi TrendLines with Breakouts [KoTa]### RSI TrendLines with Breakouts Indicator: Detailed User Guide
The "RSI TrendLines with Breakouts " indicator is a custom Pine Script tool designed for TradingView. It builds on the standard Relative Strength Index (RSI) by adding dynamic trendlines based on RSI pivots (highs and lows) across multiple user-defined periods. These trendlines act as support and resistance levels on the RSI chart, and the indicator detects breakouts when the RSI crosses these lines, generating potential buy (long) or sell (short) signals. It also includes overbought/oversold thresholds and optional breakout labels. Below, I'll provide a detailed explanation in English, covering how to use it, its purpose, advantages and disadvantages, example strategies, and ways to enhance strategies with other indicators.
How to Use the Indicator
- The indicator uses `max_lines_count=500` to handle a large number of lines without performance issues, but on very long charts, you may need to zoom in for clarity.
1. **Customizing Settings**:
The indicator has several input groups for flexibility. Access them via the gear icon next to the indicator's name on the chart.
- **RSI Settings**:
- RSI Length: Default 14. This is the period for calculating the RSI. Shorter lengths (e.g., 7-10) make it more sensitive to recent price changes; longer (e.g., 20+) smooth it out for trends.
- RSI Source: Default is close price. You can change to open, high, low, or other sources like volume-weighted for different assets.
- Overbought Level: Default 70. RSI above this suggests potential overbuying.
- Oversold Level: Default 30. RSI below this suggests potential overselling.
- **Trend Periods**:
- You can enable/disable up to 5 periods (defaults: Period 1=3, Period 2=5, Period 3=10, Period 4=20, Period 5=50). Only enabled periods will draw trendlines.
- Each period detects pivots (highs/lows) in RSI using `ta.pivothigh` and `ta.pivotlow`. Shorter periods (e.g., 3-10) capture short-term trends; longer ones (20-50) show medium-to-long-term momentum.
- Inline checkboxes allow you to toggle display for each (e.g., display_p3=true by default).
- **Color Settings**:
- Resistance/Support Color: Defaults to red for resistance (up-trendlines from RSI highs) and green for support (down-trendlines from RSI lows).
- Labels for breakouts use green for "B" (buy/long) and red for "S" (sell/short).
- **Breakout Settings**:
- Show Prev. Breakouts: If true, displays previous breakout labels (up to "Max Prev. Breakouts Label" +1, default 2+1=3).
- Show Breakouts: Separate toggles for each period (e.g., show_breakouts3). When enabled, dotted extension lines project the trendline forward, and crossovers/crossunders trigger labels like "B3" (breakout above resistance for Period 3) or "S3" (break below support).
- Note: Divergence detection is commented out in the code. If you want to enable it, uncomment the relevant sections (e.g., show_divergence input) and adjust the lookback (default 5 bars) for spotting bullish/bearish divergences between price and RSI.
2. **Interpreting the Visuals**:
- **RSI Plot**: A blue line showing the RSI value (0-100). Horizontal dashed lines at 70 (red, overbought), 30 (green, oversold), and 50 (gray, midline).
- **Trendlines**: Solid lines connecting recent RSI pivots. Green lines (support) connect lows; red lines (resistance) connect highs. Only the most recent line per direction is shown per period to avoid clutter.
- **Breakout Projections**: Dotted lines extend the current trendline forward. When RSI crosses above a red dotted resistance, a "B" label (e.g., "B1") appears above, indicating a potential bullish breakout. Crossing below a green dotted support shows an "S" label below, indicating bearish.
- **Labels**: Current breakouts are bright (green/red); previous ones fade to gray. Use these as signal alerts.
- **Alerts**: The code includes commented-out alert conditions (e.g., for breakouts or RSI crossing levels). Uncomment and set them up in TradingView's alert menu for notifications.
3. **Best Practices**:
- Use on RSI-compatible timeframes (e.g., 1H, 4H, daily) for stocks, forex, or crypto.
- Combine with price chart: Trendlines are on RSI, so check if RSI breakouts align with price action (e.g., breaking a price resistance).
- Test on historical data: Backtest signals using TradingView's replay feature.
- Avoid over-customization initially—start with defaults (Periods 3 and 5 enabled) to understand behavior.
What It Is Used For
This indicator is primarily used for **momentum-based trend analysis and breakout trading on the RSI oscillator**. Traditional RSI identifies overbought/oversold conditions, but this enhances it by drawing dynamic trendlines on RSI itself, treating RSI as a "price-like" chart for trend detection.
- **Key Purposes**:
- **Identifying Momentum Trends**: RSI trendlines show if momentum is strengthening (upward-sloping support) or weakening (downward-sloping resistance), even if price is ranging.
- **Spotting Breakouts**: Detects when RSI breaks its own support/resistance, signaling potential price reversals or continuations. For example, an RSI breakout above resistance in an oversold zone might indicate a bullish price reversal.
- **Multi-Period Analysis**: By using multiple pivot periods, it acts like a multi-timeframe tool within RSI, helping confirm short-term signals with longer-term trends.
- **Signal Generation**: Breakout labels provide entry/exit points, especially in trending markets. It's useful for swing trading, scalping, or confirming trends in larger strategies.
- **Divergence (Optional)**: If enabled, it highlights mismatches between price highs/lows and RSI, which can predict reversals (e.g., bullish divergence: price lower low, RSI higher low).
Overall, it's ideal for traders who rely on oscillators but want more visual structure, like trendline traders applying price concepts to RSI.
Advantages and Disadvantages
**Advantages**:
- **Visual Clarity**: Trendlines make RSI easier to interpret than raw numbers, helping spot support/resistance in momentum without manual drawing.
- **Multi-Period Flexibility**: Multiple periods allow analyzing short- and long-term momentum simultaneously, reducing noise from single-period RSI.
- **Breakout Signals**: Automated detection of breakouts provides timely alerts, with labels and projections for proactive trading. This can improve entry timing in volatile markets.
- **Customization**: Extensive inputs (periods, colors, breakouts) make it adaptable to different assets/timeframes. The stateful management of lines/labels prevents chart clutter.
- **Complementary to Price Action**: Enhances standard RSI by adding trend context, useful for confirming divergences or overbought/oversold trades.
- **Efficiency**: Uses efficient arrays and line management, supporting up to 500 lines for long charts without lagging TradingView.
**Disadvantages**:
- **Lagging Nature**: Based on historical pivots, signals may lag in fast-moving markets, leading to late entries. Shorter periods help but increase whipsaws.
- **False Signals**: In ranging or sideways markets, RSI trendlines can produce frequent false breakouts. It performs better in trending conditions but may underperform without filters.
- **Over-Reliance on RSI**: Ignores volume, fundamentals, or price structure—breakouts might not translate to price moves if momentum decouples from price.
- **Complexity for Beginners**: Multiple periods and settings can overwhelm new users; misconfiguration (e.g., too many periods) leads to noisy charts.
- **No Built-in Risk Management**: Signals lack stop-loss/take-profit logic; users must add these manually.
- **Divergence Limitations**: The basic (commented) divergence detection is simplistic and may miss hidden divergences or require tuning.
In summary, it's powerful for momentum traders but should be used with confirmation tools to mitigate false positives.
Example Strategies
Here are one LONG (buy) and one SHORT (sell) strategy example using the indicator. These are basic; always backtest and use risk management (e.g., 1-2% risk per trade, stop-loss at recent lows/highs).
**LONG Strategy Example: Oversold RSI Support Breakout**
- **Setup**: Use on a daily chart for stocks or crypto. Enable Periods 3 and 5 (short- and medium-term). Set oversold level to 30.
- **Entry**: Wait for RSI to be in oversold (<30). Look for a "B" breakout label (e.g., "B3" or "B5") when RSI crosses above a red resistance trendline projection. Confirm with price forming a higher low or candlestick reversal (e.g., hammer).
- **Stop-Loss**: Place below the recent price low or the RSI support level equivalent in price terms (e.g., 5-10% below entry).
- **Take-Profit**: Target RSI reaching overbought (70) or a 2:1 risk-reward ratio. Exit on a bearish RSI crossunder midline (50).
- **Example Scenario**: In a downtrending stock, RSI hits 25 and forms a support trendline. On a "B5" breakout, enter long. This captures momentum reversals after overselling.
- **Rationale**: Breakout above RSI resistance in oversold signals fading selling pressure, potential for price uptrend.
**SHORT Strategy Example: Overbought RSI Resistance Breakout**
- **Setup**: Use on a 4H chart for forex pairs. Enable Periods 10 and 20. Set overbought level to 70.
- **Entry**: Wait for RSI in overbought (>70). Enter on an "S" breakout label (e.g., "S3" or "S4") when RSI crosses below a green support trendline projection. Confirm with price showing a lower high or bearish candlestick (e.g., shooting star).
- **Stop-Loss**: Above the recent price high or RSI resistance level (e.g., 5-10% above entry).
- **Take-Profit**: Target RSI hitting oversold (30) or a 2:1 risk-reward. Exit on bullish RSI crossover midline (50).
- **Example Scenario**: In an uptrending pair, RSI peaks at 75 with a resistance trendline. On "S4" breakout, enter short. This targets momentum exhaustion after overbuying.
- **Rationale**: Break below RSI support in overbought indicates weakening buying momentum, likely price downturn.
Enhancing Strategy Validity with Other Indicators
To increase the reliability of strategies based on this indicator, combine it with complementary tools for confirmation, filtering false signals, and adding context. This creates multi-indicator strategies that reduce whipsaws and improve win rates. Focus on indicators that address RSI's weaknesses (e.g., lagging, momentum-only). Below are examples of different indicators, how to integrate them, and sample strategies.
1. **Moving Averages (e.g., SMA/EMA)**:
- **How to Use**: Overlay 50/200-period EMAs on the price chart. Use RSI breakouts only in the direction of the trend (e.g., long only if price > 200 EMA).
- **Strategy Example**: Trend-Following Long – Enter on "B" RSI breakout if price is above 200 EMA and RSI > 50. This filters reversals in uptrends. Add MACD crossover for entry timing. Advantage: Aligns momentum with price trend, reducing counter-trend trades.
2. **Volume Indicators (e.g., Volume Oscillator or OBV)**:
- **How to Use**: Require increasing volume on RSI breakouts (e.g., OBV making higher highs on bullish breakouts).
- **Strategy Example**: Volume-Confirmed Short – On "S" breakout, check if volume is rising and OBV breaks its own trendline downward. Enter short only if confirmed. This validates breakouts with real market participation, avoiding low-volume traps.
3. **Other Oscillators (e.g., MACD or Stochastic)**:
- **How to Use**: Use for divergence confirmation or overbought/oversold alignment. For instance, require Stochastic (14,3,3) to also breakout from its levels.
- **Strategy Example**: Dual-Oscillator Reversal Long – Enable divergence in the indicator. Enter on bullish RSI divergence + "B" breakout if MACD histogram flips positive. Exit on MACD bearish crossover. This strengthens reversal signals by cross-verifying momentum.
4. **Price Action Tools (e.g., Support/Resistance or Candlestick Patterns)**:
- **How to Use**: Map RSI trendlines to price levels (e.g., if RSI resistance breaks, check if price breaks a key resistance).
- **Strategy Example**: Price-Aligned Breakout Short – On "S" RSI breakout in overbought, confirm with price breaking below a drawn support line or forming a bearish engulfing candle. Use Fibonacci retracements for targets. This ensures momentum translates to price movement.
5. **Volatility Indicators (e.g., Bollinger Bands or ATR)**:
- **How to Use**: Avoid trades during low volatility (e.g., Bollinger Band squeeze) to filter ranging markets. Use ATR for dynamic stops.
- **Strategy Example**: Volatility-Filtered Long – Enter "B" breakout only if Bollinger Bands are expanding (increasing volatility) and RSI is oversold. Set stop-loss at 1.5x ATR below entry. This targets high-momentum breakouts while skipping choppy periods.
**General Tips for Building Enhanced Strategies**:
- **Layering**: Start with RSI breakout as the primary signal, add 1-2 confirmations (e.g., EMA trend + volume).
- **Backtesting**: Use TradingView's strategy tester to quantify win rates with/without additions.
- **Risk Filters**: Incorporate overall market sentiment (e.g., via VIX) or avoid trading near news events.
- **Timeframe Alignment**: Use higher timeframes for trend (e.g., daily EMA) and lower for entries (e.g., 1H RSI breakout).
- **Avoid Overloading**: Too many indicators cause paralysis; aim for synergy (e.g., trend + momentum + volume).
This indicator is a versatile tool, but success depends on context and discipline. If you need code modifications or specific backtests, provide more details!
Trend lines indicator by ForexBeeEnhanced 3-Swing Trendline Zones - Complete Feature Guide
WHAT THIS INDICATOR DOES
This indicator automatically draws trendline zones on your chart using a 3-point validation system. Instead of just connecting any two price points like basic trendline tools, it waits for three swing points to confirm the trendline is valid before drawing it.
FEATURE 1: SWING POINT DETECTION
What it detects:
Swing highs: Price points where the high is higher than surrounding candles
Swing lows: Price points where the low is lower than surrounding candles
These show up as small arrows on your chart labeled "SH" (swing high) and "SL" (swing low)
Settings that control this:
Swing Length : Default is 6, range 1-20
Higher numbers = fewer, more significant swing points
Lower numbers = more swing points, including minor ones
Example: Setting 5 means each swing point must be higher/lower than 5 candles on each side
How to use this setting:
On 1-minute charts: Use 5-10 to filter out noise
On daily charts: Use 2-3 for more sensitivity
Volatile markets: Increase the number
Quiet markets: Decrease the number
Please See the Below Images To See the difference of swing length of 6 and 8
Display control:
Show Swing Points : Turn the arrows on/off
Default: ON (you'll see the arrows)
Turn OFF if arrows clutter your chart
FEATURE 2: RETRACEMENT VALIDATION SYSTEM
What this does:
After finding two swing points, the system checks if the second swing represents a proper market retracement, not just random price movement.
How it works:
Finds the highest point between two swing lows (or lowest point between two swing highs)
Calculates how much the second swing retraced from this extreme point
Only accepts swings that retrace between your set percentages
Settings that control this:
Lower Limit % : Default 50%, range 0-100%
Upper Limit % : Default 90%, range 0-100%
These create a "valid retracement zone"
Why this matters:
Eliminates random trendlines that don't follow market structure
Ensures trendlines represent actual retracement patterns
Based on Elliott Wave and Fibonacci principles
FEATURE 3: ATR-BASED ZONE WIDTH
What ATR means:
Average True Range measures how much price typically moves in a given period. Instead of fixed-width trendlines, this creates zones that adapt to market volatility.
Settings that control this:
Zone Width (ATR Multiple) : Default 0.3, range 0.1-1.0
ATR Length : Default 14, range 1-50 periods
How zone width works:
Multiplier 0.1 = Very narrow zones (tight around trendline)
Multiplier 0.5 = Medium zones
Multiplier 1.0 = Wide zones (accommodates more price movement)
ATR Length explained:
14 periods = Uses last 14 candles to calculate average volatility
Shorter periods (7) = More sensitive to recent volatility changes
Longer periods (21) = Smoother, less sensitive to volatility spikes
Practical impact:
During high volatility: Zones automatically become wider
During low volatility: Zones automatically become narrower
Prevents false breakouts during normal market noise
Creates realistic support/resistance areas instead of precise lines
FEATURE 4: VISUAL ZONE SYSTEM
Active Uptrend Zones:
Green upper boundary line (solid, thick)
Lime green lower boundary line (solid, thick)
Green fill between lines (80% transparency)
These represent dynamic support levels
Active Downtrend Zones:
Blue upper boundary line (solid, thick)
Navy blue lower boundary line (solid, thick)
Red fill between lines (80% transparency)
These represent dynamic resistance levels
Broken/Expired Zones:
Gray/silver boundary lines (dashed, thick)
Original fill color maintained (green for uptrend zones, red for downtrend zones)
Shows historical trendlines that are no longer active
FEATURE 5: BREAK DETECTION SYSTEM
How breaks are detected:
The system monitors when price violates the zone boundaries, indicating the trendline structure has failed.
Settings that control this:
Use Wick Break : True/False toggle
TRUE: Break occurs when candle high/low touches zone boundary
FALSE: Break occurs when candle close price crosses zone boundary
Conservative vs Aggressive approach:
Wick Break = TRUE (Aggressive) :
- More sensitive, earlier signals
- May produce more false breaks during volatile periods
- Good for scalping and short-term trading
Wick Break = FALSE (Conservative) :
- Requires candle to close beyond zone
- Fewer false signals, more reliable breaks
- Better for swing trading and position trading
What happens when zone breaks:
Zone lines change from solid to dashed
Zone lines change color to gray/silver
Fill color remains original (green/red) for identification
Zone stops extending forward
Zone is removed from active monitoring
FEATURE 6: ZONE EXPIRATION SYSTEM
What expiration does:
Allows trendlines to automatically become inactive after a set number of bars, even if they haven't been broken.
Settings that control this:
Use Zone Expiration : True/False toggle
Zone Expiration (Bars) : Default 500, range 1-1000
FALSE: Zones run indefinitely until broken
TRUE: Zones expire after specified number of bars
Visual result:
Expired zones look identical to broken zones
Lines become dashed and gray/silver
Fill colors remain original (green/red)
FEATURE 7: MULTI-TIMEFRAME TREND ANALYSIS TABLE
What the table shows:
A small table on your chart that monitors trend conditions across four different timeframes simultaneously.
Settings that control this:
TF1, TF2, TF3, TF4 : Four customizable timeframes
Default: 4H, 8H, 1D, 1W
Table Position : 9 positions (top/middle/bottom + left/center/right)
Text Size : Tiny, Small, Normal, Large, Huge
How trend detection works:
Uptrend Pattern : Current candle's high AND low are both higher than previous candle's high AND low on specified timeframes
This creates higher highs and higher lows
Shows consistent buying pressure
Table displays green background with upward arrow (▲)
Downtrend Pattern : Current candle's high AND low are both lower than previous candle's high AND low on specified timeframes
This creates lower highs and lower lows
Shows consistent selling pressure
Table displays red background with downward arrow (▼)
Range/Sideways Pattern : Current candle creates either inside bar or outside bar
Inside bar: Current range smaller than previous candle
Outside bar: Current range larger than previous candle
Shows market indecision or consolidation
Table displays orange background with diamond symbol (◆)
No Clear Pattern : None of the above conditions are met
Table displays gray background with horizontal line (⎯)
How to interpret the table:
All timeframes green (uptrend): Strong bullish alignment
All timeframes red (downtrend): Strong bearish alignment
Mixed colors: Conflicting timeframes, exercise caution
Mostly orange: Market in consolidation phase
Tooltip explanations: Hover over each cell for detailed description
FEATURE 8: BACKGROUND COLOR SYSTEM
What background colors show:
Optional feature that colors your chart background based on the current timeframe's trend condition.
Settings that control this:
Show Background Colors : True/False toggle
Background Transparency : 80-98% range
Default: OFF (no background colors)
Color scheme:
Green background: Current timeframe showing uptrend
Red background: Current timeframe showing downtrend
Orange background: Current timeframe showing range/consolidation
No background: No clear trend pattern
Transparency levels:
80%: More visible background color
95%: Subtle background hint
98%: Very subtle background tint
Scalping MasterMarket Structure Analysis:
Swing Structure: Detects higher highs (HH), lower highs (LH), higher lows (HL), aur lower lows (LL) ko identify karta hai using pivot points (based on ta.highest aur ta.lowest).
Internal Structure: Chhote timeframes ke liye internal swing points aur break of structure (BOS)/change of character (CHoCH) ko track karta hai.
BOS/CHoCH Detection: Bullish aur bearish structure breaks (BOS) aur trend reversals (CHoCH) ko label karta hai.
Order Blocks (OB):
Internal Order Blocks: Chhote timeframe ke order blocks ko plot karta hai, jo liquidity zones ko represent karte hain.
Swing Order Blocks: Bade timeframe ke order blocks ko show karta hai.
Filtering: ATR ya Cumulative Mean Range ke basis par volatile order blocks ko filter karta hai.
Fair Value Gaps (FVG):
Price gaps (bullish aur bearish) ko detect aur plot karta hai.
Auto-threshold aur timeframe customization ke saath FVGs ko filter karta hai.
FVGs ko extend karne ka option deta hai (visual representation ke liye).
Equal Highs/Lows (EQH/EQL):
Equal highs aur lows ko identify karta hai, jo support/resistance zones ke liye useful hote hain.
Bars confirmation aur sensitivity threshold ke saath customizable hai.
Previous Highs/Lows (MTF):
Daily, weekly, aur monthly high/low levels ko plot karta hai.
Line style (solid, dashed, dotted) aur colors customizable hain.
Premium/Discount Zones:
Market ke premium, equilibrium, aur discount zones ko highlight karta hai, jo price action ke liye key areas hote hain.
Visual Customization:
Color Themes: Colored ya monochrome themes ke options.
Candle Coloring: Trend ke hisaab se candles ko color karta hai.
Labels aur Lines: Swing points, strong/weak highs/lows, aur structure breaks ke liye labels aur lines plot karta hai.
Modes:
Historical Mode: Past data ke saath complete structure dikhata hai.
Present Mode: Sirf recent structure aur signals dikhata hai, clutter reduce karne ke liye.
Alerts:
Bullish/Bearish BOS, CHoCH, order block breaks, aur EQH/EQL ke liye alerts set karne ka option.
Swing Points aur Trailing:
Strong/weak high aur low points ko track karta hai.
Trailing maximum/minimum ko extend karta hai for real-time analysis.
Kya Kya Mila Kar Bana Hai?
Yeh indicator Smart Money Concepts ke core principles par based hai aur in elements ko combine karta hai:
Pivot Point Analysis:
ta.highest aur ta.lowest functions se swing highs/lows detect karta hai.
Internal aur swing structure ke liye alag-alag lengths (e.g., length aur 5 for internal swings).
Price Action Concepts:
Break of Structure (BOS): Jab price pivot high/low ko break karta hai.
Change of Character (CHoCH): Jab trend reverse hota hai.
Confluence filtering ke saath accuracy improve karta hai.
Order Blocks:
Liquidity zones ko identify karne ke liye high/low ranges aur ATR/cumulative mean range ka use.
Bullish aur bearish order blocks ke liye customizable colors.
Fair Value Gaps:
Gaps in price action ko detect karne ke liye OHLC data ka analysis.
Timeframe aur auto-threshold ke saath flexibility.
MTF (Multi-Timeframe) Analysis:
Daily, weekly, monthly high/low levels ke liye ta.valuewhen aur time-based calculations.
Zones Detection:
Premium, equilibrium, aur discount zones ke liye price range calculations.
Visual Tools:
Lines, labels, aur boxes ke saath market structure ko visually represent karta hai (line.new, label.new, box.new).
Extendable lines aur boxes for better visibility.
User Inputs:
Customizable settings jaise timeframe, colors, lengths, aur filters, jo user ko flexibility dete hain.
Technical Components
PineScript Functions: ta.crossover, ta.crossunder, ta.highest, ta.lowest, ta.atr, ta.cum for calculations.
Arrays: Order blocks ke coordinates store karne ke liye (array.new_float, array.new_int, array.new_box).
Drawing Tools: Lines, labels, aur boxes ke saath dynamic plotting.
Conditional Logic: BOS, CHoCH, aur other signals ke liye complex conditions.
Timeframe Support: Multi-timeframe analysis ke liye input.timeframe.
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly
Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break.
What it does
This tool plots three families of high-signal reference lines and keeps them tidy as price evolves:
Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits.
Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes.
Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed).
Why these levels matter
Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity:
Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view:
Cleaner charts — Auto-remove broken lines so you focus on what still matters right now.
What it plots (at a glance)
Past Chosen Day High/Low for up to N prior weeks (your choice), extended right.
Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension.
Optional short labels (e.g., “Mon High”) or full labels (with week/month info).
How breaks are detected & cleaned
You control both the evidence and the timing of a “break”:
Break uses — Choose Close (more conservative) or Wick (more sensitive).
Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross.
Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes.
Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: )
Quick start
Pick a Day of Week to Track (e.g., Monday).
Set how many weeks back to show (e.g., 8–10).
Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens).
Decide if a break uses Close or Wick , and whether equality counts.
Toggle Remove Broken Levels to keep the chart clean automatically.
Tips by use-case
Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See:
Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim.
Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example:
Customization
Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter).
Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency.
Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info).
Color scheme — Separate colors for highs, lows, and each of D/W/M opens.
Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible.
What’s under the hood
On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars.
At each new day/week/month , it records the opening price and projects that line forward as well.
Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on.
Everything updates in real time; past levels don’t repaint after the session finishes.
Recommended presets
Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on.
Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L.
Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity.
Reading the examples
Broken lines disappear — decluttering in action:
Macro outlook — monthly opens as cycle rails:
Liquidity map — previous day highs + daily open:
Final note
These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
Multi-Timeframe SMTSummery
The Multi-Timeframe SMT indicator is designed to identify and visualize Higher Timeframe (HTF) data on a Lower Timeframe (LTF) chart, allowing traders to see the broader market context without changing their current chart's resolution. It accurately draws pivots and SMT divergences from higher timeframes on the corresponding candles of your current lower timeframe chart.
Its core features include:
Multi-Timeframe Analysis: Configure and monitor pivots on up to four independent timeframes, from intraday to monthly.
Customizable Pivot Detection: Define the strength of pivots by adjusting the number of bars to the left and right.
SMT Divergence: Automatically identifies bullish and bearish SMT divergences by comparing the price action of the main chart symbol with a chosen correlated asset.
Early SMT Detection: A unique feature that monitors a lower "detection timeframe" to provide early warnings of potential SMT setups before they're confirmed on the main timeframe. Note that this early detection is only shown on timeframes equal to or lower than the "Detection timeframe" you have set.
Visual Cues & Alerts: Clear on-chart labels, lines, and fully customizable alerts notify you of confirmed pivots and SMT divergences, ensuring you don't miss key opportunities.
Important Nuance Regarding Pivot Label Display
Due to a self-imposed limit within this script's drawing management logic, the indicator might quickly reach its drawing capacity if you enable pivot crosses for multiple timeframes simultaneously. When this internal drawing limit is exceeded, the script is designed to automatically remove the oldest drawings to make space for new ones.
Therefore, to ensure optimal performance and visibility of the most recent and relevant pivots, it's highly recommended to only enable the "Show Pivot Crosses" option for one timeframe at a time. If you wish to view pivots for a different timeframe, simply disable the pivot crosses for the currently active timeframe and then enable them for your desired one. This approach prevents the rapid cycling and disappearance of pivot labels, providing a clearer and more stable visual experience.
In-Depth Explanation of the Logic
This script is built on two primary concepts: pivot points and Smart Money Technique (SMT) divergence. It systematically collects historical data on multiple timeframes, identifies pivots, and then compares them between two assets to find divergences.
Pivot Point Identification
A pivot is a turning point in the market. A pivot high is a candle that has a higher high than the candles to its immediate left and right. Conversely, a pivot low is a candle with a lower low than its neighbors.
How it Works in the Script:
The script tracks the highest high and lowest low for each period of the selected timeframe (e.g., for each 4-hour candle). When a new high-timeframe candle closes, it stores that high/low value and its bar index in an array. The checkForPivot() function then checks if a recently stored high or low qualifies as a pivot.
Key Inputs:
Left Strength (leftBars1): The number of candles to the left that must have a lower high (for a pivot high) or higher low (for a pivot low).
Right Strength (rightBars1): The number of candles to the right that must meet the same criteria.
For example, with Left Strength and Right Strength both set to 3, a pivot high is only confirmed when its high is greater than the highs of the 3 previous high-timeframe candles and the 3 subsequent high-timeframe candles. Increasing these values will identify more significant, longer-term pivots.
Smart Money Technique (SMT) Divergence
SMT Divergence is a concept popularized by The Inner Circle Trader (ICT). It occurs when two closely correlated assets fail to move in sync. For instance, if Asset A makes a higher high but Asset B fails to do so and instead makes a lower high, this creates a bearish SMT divergence. It suggests that the "smart money" may not be supporting the move in Asset A, signaling a potential reversal.
Bearish SMT: Main asset makes a higher high, while the correlated asset makes a lower high. This is a potential sell signal.
Bullish SMT: Main asset makes a lower low, while the correlated asset makes a higher low. This is a potential buy signal.
How it Works in the Script:
Data Request: For each timeframe, the script uses the request.security() function to fetch the high and low data for both the main chart symbol (syminfo.tickerid) and the chosen Comparison Asset.
Pivot Comparison: When a new pivot is confirmed on the main asset, the script checks if a corresponding pivot also formed on the comparison asset at the same time.
Divergence Check: It then compares the direction of the pivots. For a bearish SMT, it checks if the main asset's new pivot high is higher than its previous pivot high, while the comparison asset's new pivot high is lower than its previous one. The logic is reversed for bullish SMT.
Visualization: If a divergence is found, the script draws a red (bearish) or green (bullish) line connecting the two pivots on your chart and places an "SMT" label.
Early SMT Detection
This is a proactive feature designed to give you a heads-up. Waiting for a 4-hour or daily pivot to form can take a long time. The early detection system looks for SMT divergences on a much smaller, user-defined Detection timeframe (e.g., 15-minute).
How it Works in the Script:
Awaiting Setup: After a primary pivot (Pivot A) is formed on the main timeframe (e.g., a Daily pivot high), the script begins monitoring.
Intraday Monitoring: It then watches the Detection timeframe (e.g., 15-minute) for smaller intraday pivots.
Potential Divergence: It looks for an intraday pivot that forms a divergence against the primary Pivot A.
Watchline & Alert: When this "potential" divergence occurs, the script draws a dashed white line and triggers a "Potential SMT" alert. This isn't a confirmed SMT on the main timeframe yet, but it's a powerful early warning that one may be forming.
Drawing & Object Management
To keep the chart clean and prevent performance issues, the script manages its drawings (lines and labels) efficiently. It stores them in arrays and uses a drawing limit to automatically delete the oldest drawings as new ones are created, ensuring your TradingView remains responsive.
How to Use the Indicator
Configuration
Enable Timeframes: Use the checkboxes (Enable Timeframe 1, Enable Timeframe 2, etc.) to activate the timeframes you want to monitor. It's often best to start with one or two to keep the chart clean.
Select Timeframes: Choose the higher timeframes you want to analyze (e.g., 240 for 4-hour, D for Daily, W for Weekly).
Set Pivot Strength: The default of 3 for Left/Right strength is a good starting point. Increase it to find more significant market structure points or decrease it for more frequent, shorter-term pivots.
Configure SMT:
Check Enable SMT for the timeframes where you want to detect divergence.
Enter a Comparison Asset . This is crucial. Ensure the assets are correlated.
To use the early warning system, check Enable early SMT detection and select an appropriate Detection timeframe (e.g., 15 or 60 minutes for a Daily analysis).
Premium/Discount with Candle Open stats [Herman]Premium/Discount with Stats
This indicator is designed to help traders identify and analyze premium/discount zones on any timeframe while automatically tracking statistics on price behavior relative to these zones. It is especially valuable for traders looking to structure entries, manage targets, and quantify market reactions to prior session ranges.
What it draws on the chart
✅ Range High and Low Lines
For each selected timeframe period (15min, 30min 1H, 4H, Daily), the indicator plots the high and low of the completed previous period.
These lines are color-coded dynamically based on sweep detection:
If the high was swept (price broke the previous high), the high line is marked as Premium.
If the low was swept, the low line is marked as Discount.
If both were swept or neither, it uses the default color settings.
✅ Midline
An optional midline at the 50% level of the previous period’s high-low range.
Helpful for mean-reversion traders or anyone watching for retests of equilibrium.
✅ Quartile Lines (25%–75%)
Optional additional lines at 25% and 75% of the previous range, helping traders visualize inner range subdivisions.
✅ Open Price Line
Marks the open price of the previous period as a horizontal reference.
✅ Background Fills
The region between low and midline is shaded with the Discount color.
The region between high and midline is shaded with the Premium color.
These optional fills help highlight the premium and discount zones visually.
✅ Current Incomplete Period Lines (optional)
You can choose to display provisional high, low, midline, quartiles, and open for the current forming period.
These update in real-time until the period closes.
Sweep Detection Logic
The indicator automatically tracks if the current period price sweeps above the previous period’s high or below the low.
A "sweep" is simply defined as price exceeding the previous high/low while tracking is active.
The sweep status affects the colors of the premium/discount lines, helping traders see potential liquidity grabs or stop hunts.
What it counts and tracks (Statistics)
The script automatically compiles statistics over time:
✅ Total Touches
Counts how many times the price in a new period touches either the previous period’s high or low.
A “touch” is registered once per side per period.
✅ Midline Returns
Counts how often, after touching the previous high/low, price returns to the previous period’s midline.
Gives you a measure of mean-reversion success.
✅ Open Returns
Similarly, tracks how often price returns to the previous period’s open after touching the previous high/low.
✅ Return Percentages
Displays the percentage of touches that result in a return to midline or open.
These percentages are calculated live on your chart and updated after each period closes.
✅ Stats Table
A customizable on-chart table summarizing all of these stats in real-time.
Helps traders evaluate the effectiveness of range-based trading setups over time.
How it Works (Technical details)
On each new bar, the script checks if a new period (as defined by your timeframe selection) has begun.
When a new period starts, the previous period’s high, low, open, midline, quartiles are recorded and drawn on the chart.
The script then “watches” the current period:
Updates provisional high and low.
Detects sweeps of previous highs/lows.
Tracks if price returns to the previous period’s midline or open after those sweeps.
Increments statistical counters if conditions are met.
Background fills and lines update dynamically based on real-time data.
Intended Use Cases
This indicator is ideal for:
✅ Identifying premium/discount zones for swing or intraday trades.
✅ Spotting liquidity sweeps and possible manipulation zones.
✅ Structuring trades with logical, data-driven target zones (midline, open).
✅ Quantifying the probability of mean-reversion moves after liquidity events.
✅ Developing and backtesting range-based trading models with live stats.
Highly Customizable
Choose any timeframe for defining the premium/discount range.
Toggle visibility of midline, quartiles, open line, current period preview.
Full control over colors, line styles, line widths, and background shading.
Optional real-time statistical table with total counts and return percentages.
Swing High/Low with Liquidity Sweeps🧠 Overview
This indicator identifies swing highs and swing lows based on user-defined candle lengths and checks for liquidity sweeps—situations where the price breaks a previous swing level but then closes back inside, indicating a potential false breakout or stop hunt. It also supports visual labeling and alerts for these events.
⚙️ Inputs
Swing Length (must be odd number ≥ 3):
Determines how many candles are used to identify swing highs/lows. The central candle must be higher or lower than all neighbors within the range.
Example: If swingLength = 5, the central candle must be higher/lower than the 2 candles on both sides.
Sweep Lookback (bars):
Defines how many bars to look back for possible liquidity sweeps.
Show Swing Labels (checkbox):
Optionally display labels on the chart when a swing high or low is detected.
Show Sweep Labels (checkbox):
Optionally display labels on the chart when a liquidity sweep occurs.
🕯️ Swing Detection Logic
A Swing High is detected when the high of the central candle is greater than the highs of all candles around it (as per the defined length).
A Swing Low is detected when the low of the central candle is lower than the lows of surrounding candles.
Swing labels are placed slightly above (for highs) or below (for lows) the candle.
💧 Liquidity Sweep Logic
A Sweep High is triggered if:
The current high breaks above a previously detected swing high,
And then the candle closes below that swing high,
Within the configured lookback window.
A Sweep Low is triggered if:
The current low breaks below a previous swing low,
And then closes above it,
Within the lookback window.
These are often seen as stop hunts or fake breakouts.
🔔 Alerts
Sweep High Alert: Triggered when a sweep above a swing high occurs.
Sweep Low Alert: Triggered when a sweep below a swing low occurs.
You can use these to set up TradingView alerts to notify you of potential liquidity grabs.
📊 Use Cases
Identifying market structure shifts.
Spotting fake breakouts and potential reversals.
Assisting in smart money concepts and liquidity-based trading.
Supporting entry timing in trend continuation or reversal strategies.
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE)
## Advanced Multi-Dimensional Mathematical Analysis System
*Where Quantum Mathematics Meets Market Structure*
---
## 🎓 THEORETICAL FOUNDATION
The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry.
### 🌊 Multi-Dimensional Volatility with Jump Detection
**Hawkes Process Implementation:**
The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects.
**Mathematical Foundation:**
```
Intensity λ(t) = μ + Σ α(t - Tᵢ)
```
Where market jumps at times Tᵢ increase the probability of future jumps through the decay function α, controlled by the Hawkes Decay parameter (0.5-0.99).
**Mahalanobis Distance Calculation:**
The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions:
- **Dimension 1:** Price volatility (standard deviation of returns)
- **Dimension 2:** Volume volatility (normalized volume fluctuations)
- **Dimension 3:** Range volatility (high-low spread variations)
- **Dimension 4:** Correlation volatility (price-volume relationship changes)
- **Dimension 5:** Microstructure volatility (intrabar positioning analysis)
This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches.
### 📐 Hurst Exponent Regime Detection
**Fractal Market Hypothesis Integration:**
The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification:
- **H > 0.6:** Trending (persistent) markets - momentum strategies optimal
- **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal
- **H ≈ 0.5:** Random walk markets - breakout strategies preferred
**Adaptive R/S Analysis:**
Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions:
```
H = log(R/S) / log(n)
```
Where R is the range of cumulative deviations and S is the standard deviation over period n.
**Dynamic Regime Classification:**
The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods.
### 🔄 Transfer Entropy Analysis
**Information Flow Quantification:**
Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements:
```
TE(X→Y) = Σ p(yₜ₊₁, yₜ, xₜ) log
```
**Causality Detection:**
- **Volume → Price:** Indicates accumulation/distribution phases
- **Price → Volume:** Suggests retail participation or momentum chasing
- **Balanced Flow:** Market equilibrium or transition periods
The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows.
---
## 🔧 COMPREHENSIVE INPUT SYSTEM
### Core Parameters Group
**Primary Analysis Window (10-100, Default: 50)**
The fundamental lookback period affecting all calculations. Optimization by timeframe:
- **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements)
- **15 minute-1 hour:** 30-50 (balanced responsiveness and stability)
- **4 hour-daily:** 50-100 (smooth signals, reduced noise)
- **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60
**Signal Sensitivity (0.1-2.0, Default: 0.7)**
Master control affecting all threshold calculations:
- **Conservative (0.3-0.6):** High-quality signals only, fewer false positives
- **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles
- **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering
**Signal Generation Mode:**
- **Aggressive:** Any component signals (highest frequency)
- **Confluence:** 2+ components agree (balanced approach)
- **Conservative:** All 3 components align (highest quality)
### Volatility Jump Detection Group
**Volatility Dimensions (2-5, Default: 3)**
Determines the mathematical space complexity:
- **2D:** Price + Volume volatility (suitable for clean markets)
- **3D:** + Range volatility (optimal for most conditions)
- **4D:** + Correlation volatility (advanced multi-asset analysis)
- **5D:** + Microstructure volatility (maximum sensitivity)
**Jump Detection Threshold (1.5-4.0σ, Default: 3.0σ)**
Standard deviations required for volatility jump classification:
- **Cryptocurrency:** 2.0-2.5σ (naturally volatile)
- **Stock Indices:** 2.5-3.0σ (moderate volatility)
- **Forex Major Pairs:** 3.0-3.5σ (typically stable)
- **Commodities:** 2.0-3.0σ (varies by commodity)
**Jump Clustering Decay (0.5-0.99, Default: 0.85)**
Hawkes process memory parameter:
- **0.5-0.7:** Fast decay (jumps treated as independent)
- **0.8-0.9:** Moderate clustering (realistic market behavior)
- **0.95-0.99:** Strong clustering (crisis/event-driven markets)
### Hurst Exponent Analysis Group
**Calculation Method Options:**
- **Classic R/S:** Original Rescaled Range (fast, simple)
- **Adaptive R/S:** Dynamic windowing (recommended for trading)
- **DFA:** Detrended Fluctuation Analysis (best for noisy data)
**Trending Threshold (0.55-0.8, Default: 0.60)**
Hurst value defining persistent market behavior:
- **0.55-0.60:** Weak trend persistence
- **0.65-0.70:** Clear trending behavior
- **0.75-0.80:** Strong momentum regimes
**Mean Reversion Threshold (0.2-0.45, Default: 0.40)**
Hurst value defining anti-persistent behavior:
- **0.35-0.45:** Weak mean reversion
- **0.25-0.35:** Clear ranging behavior
- **0.15-0.25:** Strong reversion tendency
### Transfer Entropy Parameters Group
**Information Flow Analysis:**
- **Price-Volume:** Classic flow analysis for accumulation/distribution
- **Price-Volatility:** Risk flow analysis for sentiment shifts
- **Multi-Timeframe:** Cross-timeframe causality detection
**Maximum Lag (2-20, Default: 5)**
Causality detection window:
- **2-5 bars:** Immediate causality (scalping)
- **5-10 bars:** Short-term flow (day trading)
- **10-20 bars:** Structural flow (swing trading)
**Significance Threshold (0.05-0.3, Default: 0.15)**
Minimum entropy for signal generation:
- **0.05-0.10:** Detect subtle information flows
- **0.10-0.20:** Clear causality only
- **0.20-0.30:** Very strong flows only
---
## 🎨 ADVANCED VISUAL SYSTEM
### Tensor Volatility Field Visualization
**Five-Layer Resonance Bands:**
The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength:
- **Core Layer (Purple):** Primary tensor field with highest intensity
- **Layer 2 (Neutral):** Secondary mathematical resonance
- **Layer 3 (Info Blue):** Tertiary harmonic frequencies
- **Layer 4 (Warning Gold):** Outer field boundaries
- **Layer 5 (Success Green):** Maximum field extension
**Field Strength Calculation:**
```
Field Strength = min(3.0, Mahalanobis Distance × Tensor Intensity)
```
The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility.
**Radiation Line Network:**
During active tensor states, the system projects directional radiation lines showing field energy distribution:
- **8 Directional Rays:** Complete angular coverage
- **Tapering Segments:** Progressive transparency for natural visual flow
- **Pulse Effects:** Enhanced visualization during volatility jumps
### Dimensional Portal System
**Portal Mathematics:**
Dimensional portals visualize regime transitions using category theory principles:
- **Green Portals (◉):** Trending regime detection (appear below price for support)
- **Red Portals (◎):** Mean-reverting regime (appear above price for resistance)
- **Yellow Portals (○):** Random walk regime (neutral positioning)
**Tensor Trail Effects:**
Each portal generates 8 trailing particles showing mathematical momentum:
- **Large Particles (●):** Strong mathematical signal
- **Medium Particles (◦):** Moderate signal strength
- **Small Particles (·):** Weak signal continuation
- **Micro Particles (˙):** Signal dissipation
### Information Flow Streams
**Particle Stream Visualization:**
Transfer entropy creates flowing particle streams indicating information direction:
- **Upward Streams:** Volume leading price (accumulation phases)
- **Downward Streams:** Price leading volume (distribution phases)
- **Stream Density:** Proportional to information flow strength
**15-Particle Evolution:**
Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent.
### Fractal Matrix Grid System
**Multi-Timeframe Fractal Levels:**
The system calculates and displays fractal highs/lows across five Fibonacci periods:
- **8-Period:** Short-term fractal structure
- **13-Period:** Intermediate-term patterns
- **21-Period:** Primary swing levels
- **34-Period:** Major structural levels
- **55-Period:** Long-term fractal boundaries
**Triple-Layer Visualization:**
Each fractal level uses three-layer rendering:
- **Shadow Layer:** Widest, darkest foundation (width 5)
- **Glow Layer:** Medium white core line (width 3)
- **Tensor Layer:** Dotted mathematical overlay (width 1)
**Intelligent Labeling System:**
Smart spacing prevents label overlap using ATR-based minimum distances. Labels include:
- **Fractal Period:** Time-based identification
- **Topological Class:** Mathematical complexity rating (0, I, II, III)
- **Price Level:** Exact fractal price
- **Mahalanobis Distance:** Current mathematical field strength
- **Hurst Exponent:** Current regime classification
- **Anomaly Indicators:** Visual strength representations (○ ◐ ● ⚡)
### Wick Pressure Analysis
**Rejection Level Mathematics:**
The system analyzes candle wick patterns to project future pressure zones:
- **Upper Wick Analysis:** Identifies selling pressure and resistance zones
- **Lower Wick Analysis:** Identifies buying pressure and support zones
- **Pressure Projection:** Extends lines forward based on mathematical probability
**Multi-Layer Glow Effects:**
Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart.
### Enhanced Regime Background
**Dynamic Intensity Mapping:**
Background colors reflect mathematical regime strength:
- **Deep Transparency (98% alpha):** Subtle regime indication
- **Pulse Intensity:** Based on regime strength calculation
- **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random)
**Smoothing Integration:**
Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts.
### Color Scheme System
**Six Professional Themes:**
- **Dark (Default):** Professional trading environment optimization
- **Light:** High ambient light conditions
- **Classic:** Traditional technical analysis appearance
- **Neon:** High-contrast visibility for active trading
- **Neutral:** Minimal distraction focus
- **Bright:** Maximum visibility for complex setups
Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences.
---
## 📊 INSTITUTIONAL-GRADE DASHBOARD
### Tensor Field Status Section
**Field Strength Display:**
Real-time Mahalanobis distance calculation with dynamic emoji indicators:
- **⚡ (Lightning):** Extreme field strength (>1.5× threshold)
- **● (Solid Circle):** Strong field activity (>1.0× threshold)
- **○ (Open Circle):** Normal field state
**Signal Quality Rating:**
Democratic algorithm assessment:
- **ELITE:** All 3 components aligned (highest probability)
- **STRONG:** 2 components aligned (good probability)
- **GOOD:** 1 component active (moderate probability)
- **WEAK:** No clear component signals
**Threshold and Anomaly Monitoring:**
- **Threshold Display:** Current mathematical threshold setting
- **Anomaly Level (0-100%):** Combined volatility and volume spike measurement
- **>70%:** High anomaly (red warning)
- **30-70%:** Moderate anomaly (orange caution)
- **<30%:** Normal conditions (green confirmation)
### Tensor State Analysis Section
**Mathematical State Classification:**
- **↑ BULL (Tensor State +1):** Trending regime with bullish bias
- **↓ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias
- **◈ SUPER (Tensor State 0):** Random walk regime (neutral)
**Visual State Gauge:**
Five-circle progression showing tensor field polarity:
- **🟢🟢🟢⚪⚪:** Strong bullish mathematical alignment
- **⚪⚪🟡⚪⚪:** Neutral/transitional state
- **⚪⚪🔴🔴🔴:** Strong bearish mathematical alignment
**Trend Direction and Phase Analysis:**
- **📈 BULL / 📉 BEAR / ➡️ NEUTRAL:** Primary trend classification
- **🌪️ CHAOS:** Extreme information flow (>2.0 flow strength)
- **⚡ ACTIVE:** Strong information flow (1.0-2.0 flow strength)
- **😴 CALM:** Low information flow (<1.0 flow strength)
### Trading Signals Section
**Real-Time Signal Status:**
- **🟢 ACTIVE / ⚪ INACTIVE:** Long signal availability
- **🔴 ACTIVE / ⚪ INACTIVE:** Short signal availability
- **Components (X/3):** Active algorithmic components
- **Mode Display:** Current signal generation mode
**Signal Strength Visualization:**
Color-coded component count:
- **Green:** 3/3 components (maximum confidence)
- **Aqua:** 2/3 components (good confidence)
- **Orange:** 1/3 components (moderate confidence)
- **Gray:** 0/3 components (no signals)
### Performance Metrics Section
**Win Rate Monitoring:**
Estimated win rates based on signal quality with emoji indicators:
- **🔥 (Fire):** ≥60% estimated win rate
- **👍 (Thumbs Up):** 45-59% estimated win rate
- **⚠️ (Warning):** <45% estimated win rate
**Mathematical Metrics:**
- **Hurst Exponent:** Real-time fractal dimension (0.000-1.000)
- **Information Flow:** Volume/price leading indicators
- **📊 VOL:** Volume leading price (accumulation/distribution)
- **💰 PRICE:** Price leading volume (momentum/speculation)
- **➖ NONE:** Balanced information flow
- **Volatility Classification:**
- **🔥 HIGH:** Above 1.5× jump threshold
- **📊 NORM:** Normal volatility range
- **😴 LOW:** Below 0.5× jump threshold
### Market Structure Section (Large Dashboard)
**Regime Classification:**
- **📈 TREND:** Hurst >0.6, momentum strategies optimal
- **🔄 REVERT:** Hurst <0.4, contrarian strategies optimal
- **🎲 RANDOM:** Hurst ≈0.5, breakout strategies preferred
**Mathematical Field Analysis:**
- **Dimensions:** Current volatility space complexity (2D-5D)
- **Hawkes λ (Lambda):** Self-exciting jump intensity (0.00-1.00)
- **Jump Status:** 🚨 JUMP (active) / ✅ NORM (normal)
### Settings Summary Section (Large Dashboard)
**Active Configuration Display:**
- **Sensitivity:** Current master sensitivity setting
- **Lookback:** Primary analysis window
- **Theme:** Active color scheme
- **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA)
**Dashboard Sizing Options:**
- **Small:** Essential metrics only (mobile/small screens)
- **Normal:** Balanced information density (standard desktop)
- **Large:** Maximum detail (multi-monitor setups)
**Position Options:**
- **Top Right:** Standard placement (avoids price action)
- **Top Left:** Wide chart optimization
- **Bottom Right:** Recent price focus (scalping)
- **Bottom Left:** Maximum price visibility (swing trading)
---
## 🎯 SIGNAL GENERATION LOGIC
### Multi-Component Convergence System
**Component Signal Architecture:**
The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing:
**Volatility Component:**
- **Jump Detection:** Mahalanobis distance threshold breach
- **Hawkes Intensity:** Self-exciting process activation (>0.2)
- **Multi-dimensional:** Considers all volatility dimensions simultaneously
**Hurst Regime Component:**
- **Trending Markets:** Price above SMA-20 with positive momentum
- **Mean-Reverting Markets:** Price at Bollinger Band extremes
- **Random Markets:** Bollinger squeeze breakouts with directional confirmation
**Transfer Entropy Component:**
- **Volume Leadership:** Information flow from volume to price
- **Volume Spike:** Volume 110%+ above 20-period average
- **Flow Significance:** Above entropy threshold with directional bias
### Democratic Signal Weighting
**Signal Mode Implementation:**
- **Aggressive Mode:** Any single component triggers signal
- **Confluence Mode:** Minimum 2 components must agree
- **Conservative Mode:** All 3 components must align
**Momentum Confirmation:**
All signals require momentum confirmation:
- **Long Signals:** RSI >50 AND price >EMA-9
- **Short Signals:** RSI <50 AND price 0.6):**
- **Increase Sensitivity:** Catch momentum continuation
- **Lower Mean Reversion Threshold:** Avoid counter-trend signals
- **Emphasize Volume Leadership:** Institutional accumulation/distribution
- **Tensor Field Focus:** Use expansion for trend continuation
- **Signal Mode:** Aggressive or Confluence for trend following
**Range-Bound Markets (Hurst <0.4):**
- **Decrease Sensitivity:** Avoid false breakouts
- **Lower Trending Threshold:** Quick regime recognition
- **Focus on Price Leadership:** Retail sentiment extremes
- **Fractal Grid Emphasis:** Support/resistance trading
- **Signal Mode:** Conservative for high-probability reversals
**Volatile Markets (High Jump Frequency):**
- **Increase Hawkes Decay:** Recognize event clustering
- **Higher Jump Threshold:** Avoid noise signals
- **Maximum Dimensions:** Capture full volatility complexity
- **Reduce Position Sizing:** Risk management adaptation
- **Enhanced Visuals:** Maximum information for rapid decisions
**Low Volatility Markets (Low Jump Frequency):**
- **Decrease Jump Threshold:** Capture subtle movements
- **Lower Hawkes Decay:** Treat moves as independent
- **Reduce Dimensions:** Simplify analysis
- **Increase Position Sizing:** Capitalize on compressed volatility
- **Minimal Visuals:** Reduce distraction in quiet markets
---
## 🚀 ADVANCED TRADING STRATEGIES
### The Mathematical Convergence Method
**Entry Protocol:**
1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels
2. **Tensor Field Confirmation:** Verify field expansion supporting direction
3. **Portal Signal:** Wait for dimensional portal appearance
4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals
5. **Component Consensus:** Confirm 2+ components agree in Confluence mode
**Example Implementation:**
- Price approaching 21-period fractal high
- Tensor field expanding upward (bullish mathematical alignment)
- Green portal appears below price (trending regime confirmation)
- ELITE quality signal with 3/3 components active
- Enter long position with stop below fractal level
**Risk Management:**
- **Stop Placement:** Below/above fractal level that generated signal
- **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size)
- **Profit Targets:** Next fractal level or tensor field resistance
### The Regime Transition Strategy
**Regime Change Detection:**
1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds
2. **Portal Color Change:** Regime transitions show different portal colors
3. **Background Intensity:** Increasing regime background intensity
4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis)
**Trading Implementation:**
- **Trending Transitions:** Trade momentum breakouts, follow trend
- **Mean Reversion Transitions:** Trade range boundaries, fade extremes
- **Random Transitions:** Trade breakouts with tight stops
**Advanced Techniques:**
- **Multi-Timeframe:** Confirm regime on higher timeframe
- **Early Entry:** Enter on regime transition rather than confirmation
- **Regime Strength:** Larger positions during strong regime signals
### The Information Flow Momentum Strategy
**Flow Detection Protocol:**
1. **Monitor Transfer Entropy:** Watch for significant information flow shifts
2. **Volume Leadership:** Strong edge when volume leads price
3. **Flow Acceleration:** Increasing flow strength indicates momentum
4. **Directional Confirmation:** Ensure flow aligns with intended trade direction
**Entry Signals:**
- **Volume → Price Flow:** Enter during accumulation/distribution phases
- **Price → Volume Flow:** Enter on momentum confirmation breaks
- **Flow Reversal:** Counter-trend entries when flow reverses
**Optimization:**
- **Scalping:** Use immediate flow detection (2-5 bar lag)
- **Swing Trading:** Use structural flow (10-20 bar lag)
- **Multi-Asset:** Compare flow between correlated assets
### The Tensor Field Expansion Strategy
**Field Mathematics:**
The tensor field expansion indicates mathematical pressure building in market structure:
**Expansion Phases:**
1. **Compression:** Field contracts, volatility decreases
2. **Tension Building:** Mathematical pressure accumulates
3. **Expansion:** Field expands rapidly with directional movement
4. **Resolution:** Field stabilizes at new equilibrium
**Trading Applications:**
- **Compression Trading:** Prepare for breakout during field contraction
- **Expansion Following:** Trade direction of field expansion
- **Reversion Trading:** Fade extreme field expansion
- **Multi-Dimensional:** Consider all field layers for confirmation
### The Hawkes Process Event Strategy
**Self-Exciting Jump Trading:**
Understanding that market shocks cluster and create follow-on opportunities:
**Jump Sequence Analysis:**
1. **Initial Jump:** First volatility jump detected
2. **Clustering Phase:** Hawkes intensity remains elevated
3. **Follow-On Opportunities:** Additional jumps more likely
4. **Decay Period:** Intensity gradually decreases
**Implementation:**
- **Jump Confirmation:** Wait for mathematical jump confirmation
- **Direction Assessment:** Use other components for direction
- **Clustering Trades:** Trade subsequent moves during high intensity
- **Decay Exit:** Exit positions as Hawkes intensity decays
### The Fractal Confluence System
**Multi-Timeframe Fractal Analysis:**
Combining fractal levels across different periods for high-probability zones:
**Confluence Zones:**
- **Double Confluence:** 2 fractal levels align
- **Triple Confluence:** 3+ fractal levels cluster
- **Mathematical Confirmation:** Tensor field supports the level
- **Information Flow:** Transfer entropy confirms direction
**Trading Protocol:**
1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR
2. **Mathematical Support:** Verify tensor field alignment
3. **Signal Quality:** Wait for STRONG or ELITE signal
4. **Risk Definition:** Use fractal level for stop placement
5. **Profit Targeting:** Next major fractal confluence zone
---
## ⚠️ COMPREHENSIVE RISK MANAGEMENT
### Mathematical Position Sizing
**Mahalanobis Distance Integration:**
Position size should inversely correlate with mathematical field strength:
```
Position Size = Base Size × (Threshold / Mahalanobis Distance)
```
**Risk Scaling Matrix:**
- **Low Field Strength (<2.0):** Standard position sizing
- **Moderate Field Strength (2.0-3.0):** 75% position sizing
- **High Field Strength (3.0-4.0):** 50% position sizing
- **Extreme Field Strength (>4.0):** 25% position sizing or no trade
### Signal Quality Risk Adjustment
**Quality-Based Position Sizing:**
- **ELITE Signals:** 100% of planned position size
- **STRONG Signals:** 75% of planned position size
- **GOOD Signals:** 50% of planned position size
- **WEAK Signals:** No position or paper trading only
**Component Agreement Scaling:**
- **3/3 Components:** Full position size
- **2/3 Components:** 75% position size
- **1/3 Components:** 50% position size or skip trade
### Regime-Adaptive Risk Management
**Trending Market Risk:**
- **Wider Stops:** Allow for trend continuation
- **Trend Following:** Trade with regime direction
- **Higher Position Size:** Trend probability advantage
- **Momentum Stops:** Trail stops based on momentum indicators
**Mean-Reverting Market Risk:**
- **Tighter Stops:** Quick exits on trend continuation
- **Contrarian Positioning:** Trade against extremes
- **Smaller Position Size:** Higher reversal failure rate
- **Level-Based Stops:** Use fractal levels for stops
**Random Market Risk:**
- **Breakout Focus:** Trade only clear breakouts
- **Tight Initial Stops:** Quick exit if breakout fails
- **Reduced Frequency:** Skip marginal setups
- **Range-Based Targets:** Profit targets at range boundaries
### Volatility-Adaptive Risk Controls
**High Volatility Periods:**
- **Reduced Position Size:** Account for wider price swings
- **Wider Stops:** Avoid noise-based exits
- **Lower Frequency:** Skip marginal setups
- **Faster Exits:** Take profits more quickly
**Low Volatility Periods:**
- **Standard Position Size:** Normal risk parameters
- **Tighter Stops:** Take advantage of compressed ranges
- **Higher Frequency:** Trade more setups
- **Extended Targets:** Allow for compressed volatility expansion
### Multi-Timeframe Risk Alignment
**Higher Timeframe Trend:**
- **With Trend:** Standard or increased position size
- **Against Trend:** Reduced position size or skip
- **Neutral Trend:** Standard position size with tight management
**Risk Hierarchy:**
1. **Primary:** Current timeframe signal quality
2. **Secondary:** Higher timeframe trend alignment
3. **Tertiary:** Mathematical field strength
4. **Quaternary:** Market regime classification
---
## 📚 EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS
### Advanced Mathematical Concepts
**Tensor Analysis in Markets:**
The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture.
**Information Theory Applications:**
Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior.
**Fractal Geometry in Trading:**
The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure.
**Stochastic Process Theory:**
The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects.
### Learning Progressive Complexity
**Beginner Mathematical Concepts:**
- **Volatility Dimensions:** Understanding multi-dimensional analysis
- **Regime Classification:** Learning market personality types
- **Signal Democracy:** Algorithmic consensus building
- **Visual Mathematics:** Interpreting mathematical concepts visually
**Intermediate Mathematical Applications:**
- **Mahalanobis Distance:** Statistical distance in multi-dimensional space
- **Rescaled Range Analysis:** Fractal dimension measurement
- **Information Entropy:** Quantifying uncertainty and causality
- **Field Theory:** Understanding mathematical fields in market context
**Advanced Mathematical Integration:**
- **Tensor Field Dynamics:** Multi-dimensional market force analysis
- **Stochastic Self-Excitation:** Event clustering and memory effects
- **Categorical Composition:** Mathematical signal combination theory
- **Topological Market Analysis:** Understanding market shape and connectivity
### Practical Mathematical Intuition
**Developing Market Mathematics Intuition:**
The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of:
- **How markets exhibit mathematical structure beneath apparent randomness**
- **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches**
- **How information flows through markets in measurable, predictable ways**
- **Why mathematical models provide probabilistic edges rather than certainties**
---
## 🔬 IMPLEMENTATION AND OPTIMIZATION
### Getting Started Protocol
**Phase 1: Observation (Week 1)**
1. **Apply with defaults:** Use standard settings on your primary trading timeframe
2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams
3. **Monitor dashboard:** Observe how metrics change with market conditions
4. **No trading:** Focus entirely on pattern recognition and understanding
**Phase 2: Pattern Recognition (Week 2-3)**
1. **Identify signal patterns:** Note what market conditions produce different signal qualities
2. **Regime correlation:** Observe how Hurst regimes affect signal performance
3. **Visual confirmation:** Learn to read tensor field expansion and portal signals
4. **Component analysis:** Understand which components drive signals in different markets
**Phase 3: Parameter Optimization (Week 4-5)**
1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument
2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe
3. **Sensitivity adjustment:** Balance signal frequency with quality
4. **Visual customization:** Optimize colors and intensity for your trading environment
**Phase 4: Live Implementation (Week 6+)**
1. **Paper trading:** Test signals with hypothetical trades
2. **Small position sizing:** Begin with minimal risk during learning phase
3. **Performance tracking:** Monitor actual vs. expected signal performance
4. **Continuous optimization:** Refine settings based on real performance data
### Performance Monitoring System
**Signal Quality Tracking:**
- **ELITE Signal Win Rate:** Track highest quality signals separately
- **Component Performance:** Monitor which components provide best signals
- **Regime Performance:** Analyze performance across different market regimes
- **Timeframe Analysis:** Compare performance across different session times
**Mathematical Metric Correlation:**
- **Field Strength vs. Performance:** Higher field strength should correlate with better performance
- **Component Agreement vs. Win Rate:** More component agreement should improve win rates
- **Regime Alignment vs. Success:** Trading with mathematical regime should outperform
### Continuous Optimization Process
**Monthly Review Protocol:**
1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown
2. **Parameter Assessment:** Evaluate if current settings remain optimal
3. **Market Adaptation:** Adjust for changes in market character or volatility
4. **Component Weighting:** Consider if certain components should receive more/less emphasis
**Quarterly Deep Analysis:**
1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid
2. **Regime Distribution:** Analyze time spent in different market regimes
3. **Signal Evolution:** Track how signal characteristics change over time
4. **Correlation Analysis:** Monitor correlations between different mathematical components
---
## 🌟 UNIQUE INNOVATIONS AND CONTRIBUTIONS
### Revolutionary Mathematical Integration
**First-Ever Implementations:**
1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility
2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes
3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation
4. **Democratic Component Voting:** First algorithmic consensus system for signal generation
5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels
### Advanced Visualization Innovations
**Mathematical Visualization Breakthroughs:**
- **Tensor Field Radiation:** Visual representation of mathematical field energy
- **Dimensional Portal System:** Category theory visualization for regime transitions
- **Information Flow Streams:** Real-time visual display of market information transfer
- **Multi-Layer Fractal Grid:** Intelligent spacing and projection system
- **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength
### Practical Trading Innovations
**Trading System Advances:**
- **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence
- **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality
- **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering
- **Component Performance Tracking:** Real-time monitoring of algorithmic component success
- **Field-Strength Position Sizing:** Mathematical volatility integration for risk management
---
## ⚖️ RESPONSIBLE USAGE AND LIMITATIONS
### Mathematical Model Limitations
**Understanding Model Boundaries:**
While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations:
- **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements
- **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely
- **Model Risk:** Complex models can fail during unprecedented market conditions
- **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions
### Proper Implementation Guidelines
**Risk Management Requirements:**
- **Never Risk More Than 2% Per Trade:** Regardless of signal quality
- **Diversification Mandatory:** Don't rely solely on mathematical signals
- **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence
- **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters
**Realistic Expectations:**
- **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes
- **Learning Curve Required:** Complex mathematical concepts require time to master
- **Market Adaptation Necessary:** Parameters must evolve with changing market conditions
- **Continuous Education Important:** Understanding underlying mathematics improves application
### Ethical Trading Considerations
**Market Impact Awareness:**
- **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants
- **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure
- **Sharing Knowledge:** Consider educational contributions to trading community
- **Fair Market Participation:** Use mathematical advantages responsibly within market framework
### Professional Development Path
**Skill Development Sequence:**
1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application
2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals
3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights
4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution
---
## 🔮 CONCLUSION
The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability.
### Mathematical Innovation Legacy
This indicator establishes new paradigms in technical analysis:
- **Tensor analysis for market volatility understanding**
- **Stochastic self-excitation for event clustering prediction**
- **Information theory for causality-based trade generation**
- **Democratic algorithmic consensus for signal quality enhancement**
- **Mathematical field visualization for intuitive market understanding**
### Practical Trading Revolution
Beyond mathematical innovation, the TMAE transforms practical trading:
- **Quality-rated signals replace binary buy/sell decisions**
- **Regime-adaptive strategies automatically optimize for market personality**
- **Multi-dimensional risk management integrates mathematical volatility measures**
- **Visual mathematical concepts make complex analysis immediately interpretable**
- **Educational value creates lasting improvement in trading understanding**
### Future-Proof Design
The mathematical foundations ensure lasting relevance:
- **Universal mathematical principles transcend market evolution**
- **Multi-dimensional analysis adapts to new market structures**
- **Regime detection automatically adjusts to changing market personalities**
- **Component democracy allows for future algorithmic additions**
- **Mathematical visualization scales with increasing market complexity**
### Commitment to Excellence
The TMAE represents more than an indicator—it embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value.
### Trading with Mathematical Precision
In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals.
By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics.
### Final Perspective
Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure.
Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior.
Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE.
*"In mathematics, you don't understand things. You just get used to them." - John von Neumann*
*With the TMAE, mathematical market understanding becomes not just possible, but intuitive.*
— Dskyz, Trade with insight. Trade with anticipation.
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide
🔔 Important Technical Limitation 🔔
**This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means:
- Results will vary depending on what chart timeframe you're viewing
- Levels may not match actual higher timeframe candle highs/lows
- You might miss important wicks or gaps that occurred between chart timeframe bars
- **Always verify levels against actual higher timeframe charts before trading**
Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks)
Core Components
1. Dual Timeframe Level Tracking
- Short Timeframe Levels: Tracks opening price extremes within shorter periods
- Long Timeframe Levels: Tracks actual high/low extremes within longer periods
- Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period
- Momentum Detection: Identifies when levels change mid-period, indicating active price movement
2. Visual Zone System
- High Zones: Areas between long timeframe highs and short timeframe highs
- Low Zones: Areas between long timeframe lows and short timeframe lows
- Fill Coloring: Dynamic colors based on whether levels are static or actively changing
- Momentum Highlighting: Special colors when levels break during active periods
3. Customizable Display Options
- Multiple Plot Styles: Line, circles, or cross markers
- Flexible Timeframe Selection: Wide range of short and long timeframe combinations
- Color Customization: Separate colors for each level type and momentum state
- Toggle Controls: Show/hide different elements based on trading preference
Main Features
Timeframe Settings
- Short Timeframe Options: 15m, 30m, 1h, 2h, 4h
- Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W
- Recommended Combinations:
- Scalping: 15m/1h or 30m/2h
- Day Trading: 30m/4h or 1h/4h
- Swing Trading: 4h/1D or 1D/1W
Display Configuration
- Level Visibility: Toggle short/long timeframe levels independently
- Fill Zone Control: Enable/disable colored zones between levels
- Momentum Fills: Special highlighting for actively changing levels
- Line Customization: Width, style, and color options for all elements
Color System
- Short TF High: Default red for resistance levels
- Short TF Low: Default green for support levels
- Long TF High: Transparent red for broader resistance context
- Long TF Low: Transparent green for broader support context
- Momentum Colors: Brighter colors when levels are actively changing
Technical Implementation Details
How Level Tracking Works
The indicator uses a custom tracking function that:
1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin
2. Tracks Extremes: Monitors highest/lowest values within each period
3. Resets on New Periods: Clears tracking when timeframe periods change
4. Updates Mid-Period: Continues tracking if new extremes are reached
The Timeframe Limitation Explained
`pinescript
// What the indicator does:
short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start
= track_highest(open, short_tf_start) // BUT uses chart TF opens!
// What true multi-timeframe would be:
// short_tf_high = request.security(syminfo.tickerid, short_timeframe, high)
`
This means:
- On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows
- On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows
- Results will be different between chart timeframes
- May miss important price action that occurred between your chart's bars
Visual Elements
1. Level Lines
- Short TF High: Upper resistance line from shorter timeframe analysis
- Short TF Low: Lower support line from shorter timeframe analysis
- Long TF High: Broader resistance context from longer timeframe
- Long TF Low: Broader support context from longer timeframe
2. Zone Fills
- High Zone: Area between long TF high and short TF high (potential resistance cluster)
- Low Zone: Area between long TF low and short TF low (potential support cluster)
- Regular Fill: Standard transparency when levels are static
- Momentum Fill: Enhanced visibility when levels are actively changing
3. Dynamic Coloring
- Static Periods: Normal colors when levels haven't changed recently
- Active Periods: Momentum colors when levels are being tested/broken
- Confluence Zones: Different intensities based on timeframe alignment
Trading Applications
1. Support/Resistance Trading
- Entry Points: Trade bounces from zone boundaries
- Confluence Areas: Focus on areas where short and long TF levels cluster
- Zone Breaks: Enter on confirmed breaks through entire zones
- Multiple Timeframe Confirmation: Stronger signals when both timeframes align
2. Range Trading
- Zone Boundaries: Use fill zones as range extremes
- Mean Reversion: Trade back toward opposite zone when price reaches extremes
- Breakout Preparation: Watch for momentum color changes indicating potential breakouts
- Risk Management: Place stops outside the opposite zone
3. Trend Following
- Direction Bias: Trade in direction of zone breaks
- Pullback Entries: Enter on pullbacks to broken zones (now support/resistance)
- Momentum Confirmation: Use momentum coloring to confirm trend strength
- Multiple Timeframe Alignment: Strongest trends when both timeframes agree
4. Scalping Applications
- Quick Bounces: Trade rapid moves between zone boundaries
- Momentum Signals: Enter when momentum colors appear
- Short-Term Targets: Use opposite zone as profit target
- Tight Stops: Place stops just outside current zone
Optimization Guide
1. Timeframe Selection
For Different Trading Styles:
- Scalping: 15m/1h - Quick levels, frequent updates
- Day Trading: 30m/4h - Balanced view, good for intraday moves
- Swing Trading: 4h/1D - Longer-term perspective, fewer false signals
- Position Trading: 1D/1W - Major structural levels
2. Chart Timeframe Considerations
**Important**: Your chart timeframe affects results
- Lower Chart TF: More granular level tracking, but may be noisy
- Higher Chart TF: Smoother levels, but may miss important price action
- Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe
3. Display Settings
- Busy Charts: Disable fills, show only key levels
- Clean Analysis: Enable all fills and momentum coloring
- Multi-Monitor Setup: Use different color schemes for easy identification
- Mobile Trading: Increase line width for visibility
Best Practices
1. Level Verification
- Always Cross-Check: Verify levels against actual higher timeframe charts
- Multiple Timeframes: Check 2-3 different chart timeframes for consistency
- Price Action Confirmation: Wait for candlestick confirmation at levels
- Volume Analysis: Combine with volume for stronger confirmation
2. Risk Management
- Stop Placement: Use zones rather than exact prices for stops
- Position Sizing: Reduce size when zones are narrow (higher risk)
- Multiple Targets: Scale out at different zone boundaries
- False Break Protection: Allow for minor zone penetrations
3. Signal Quality Assessment
- Momentum Colors: Higher probability when momentum coloring appears
- Zone Width: Wider zones often provide stronger support/resistance
- Historical Testing: Backtest on your preferred timeframe combinations
- Market Conditions: Adjust sensitivity based on volatility
Advanced Features
1. Momentum Detection System
The indicator tracks when levels change mid-period:
`pinescript
short_high_changed = short_high != short_high and not short_tf_start
`
This identifies:
- Active level testing
- Potential breakout situations
- Increased market volatility
- Trend acceleration points
2. Dynamic Color System
Complex conditional logic determines fill colors:
- Static Zones: Regular transparency for stable levels
- Active Zones: Enhanced colors for changing levels
- Mixed States: Different combinations based on user preferences
- Custom Overrides: User can prioritize certain color schemes
3. Zone Interaction Analysis
- Convergence: When short and long TF levels approach each other
- Divergence: When timeframes show conflicting levels
- Alignment: When both timeframes agree on direction
- Transition: When one timeframe changes while other remains static
Common Issues and Solutions
1. Inconsistent Levels
Problem: Levels look different on various chart timeframes
Solution: Always verify against actual higher timeframe charts
2. Missing Price Action
Problem: Important wicks or gaps not reflected in levels
Solution: Use chart timeframe closer to indicator's short timeframe setting
3. Too Many Signals
Problem: Excessive level changes and momentum alerts
Solution: Increase timeframe settings or reduce chart timeframe granularity
4. Lagging Signals
Problem: Levels seem to update too slowly
Solution: Decrease chart timeframe or use more sensitive timeframe combinations
Recommended Setups
Conservative Approach
- Timeframes: 4h/1D
- Chart: 1h
- Display: Show fills only, no momentum coloring
- Use: Swing trading, position management
Aggressive Approach
- Timeframes: 15m/1h
- Chart: 5m
- Display: All features enabled, momentum highlighting
- Use: Scalping, quick reversal trades
Balanced Approach
- Timeframes: 30m/4h
- Chart: 15m
- Display: Selective fills, momentum on key levels
- Use: Day trading, multi-session analysis
Final Notes
**Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts.
**Best Results When**:
- Combined with actual multi-timeframe analysis
- Used for confluence confirmation rather than primary signals
- Applied with proper risk management
- Verified against price action and volume
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
Sessions [Plug&Play]This indicator automatically highlights the three major FX trading sessions—Asia, London, and New York—on your chart and, at the close of each session, draws right-extended horizontal rays at that session’s high and low. It’s designed to help you visually identify when price is trading within each session’s range and to quickly see where the highest and lowest prices occurred before the next major session begins.
Key Features:
Session Boxes
Draws a semi-transparent box around each session’s timeframe (Asia, London, New York) based on your local UTC offset.
Each box dynamically expands in real time: as new candles form during the session, the box’s top and bottom edges update to match the highest high and lowest low seen so far in that session.
When the session ends, the box remains on your chart, anchored to the exact candles that formed its boundaries.
High/Low Rays
As soon as a session closes (e.g., London session ends at 17:00 UTC+0 by default), two horizontal rays are drawn at that session’s final high and low.
These rays are “pinned” to the exact candles where the high/low occurred, so they stay in place when you scroll or zoom.
Each ray extends indefinitely to the right, providing a clear reference of the key supply/demand levels created during that session.
Session Labels
Optionally places a small “London,” “New York,” or “Asia” label at the top edge of each completed session’s box.
Labels are horizontally centered within the session’s box and use a contrasting, easy-to-read font color.
Customizable Appearance
Show/Hide Each Session: Toggle display of London, New York, and Asia sessions separately.
Time Ranges: By default, London is 08:00–17:00 (UTC), New York is 13:00–22:00 (UTC), and Asia is 00:00–07:00 (UTC). You can override each session’s start/end times using the “Time Range” picker.
Color & Opacity: Assign custom colors to each session. Choose a global “Dark,” “Medium,” or “Light” opacity preset to adjust box fill transparency and border shading.
Show/Hide Labels & Outlines: Turn the text labels and the box borders on or off independently.
UTC Offset Support
If your local broker feed or price data is not in UTC, simply adjust the “UTC Offset (+/–)” input. The indicator will recalculate session start/end times relative to your chosen offset.
How to Use:
Add the Indicator:
Open TradingView’s Pine Editor, paste in this script, and click “Add to Chart.”
By default, you’ll see three translucent boxes appear once each session begins (Asia, London, New York).
Watch in Real Time:
As soon as a session starts, its box will appear anchored to the first candle. The top and bottom of the box expand if new extremes occur.
When the session closes, the final box remains visible and two horizontal rays mark that session’s high and low.
Analyze Key Levels:
Use the high- and low-level rays to gauge session liquidity zones—areas where stop orders, breakouts, or reversals often occur.
For example, if London’s high is significantly above current price, it may act as resistance in the New York session.
Customize to Your Needs:
Toggle specific sessions on/off (e.g., if you only care about London and New York).
Change each session’s color to match your chart theme.
Adjust the “UTC Offset” so sessions align with your local time.
Disable labels or box borders if you prefer a cleaner look.
Inputs Overview:
Show London/New York/Asia Session (bool): Show or hide each session’s box and its high/low rays.
Time Range (session): Defines the start/end of each session in “HHMM–HHMM” (24h) format.
Colour (color): Custom color for each session’s box fill, border, and high/low rays.
Show Session Labels (bool): Toggle the “London,” “New York,” “Asia” text that appears at the top of each completed box.
Show Range Outline (bool): Toggle the box border (if off, only a translucent fill is drawn).
Opacity Preset (Dark/Medium/Light): Controls transparency of box fill and border.
UTC Offset (+/–) (int): Adjusts session times for different time zones (e.g., +1 for UTC+1).
Why It’s Useful:
Quickly Identify Session Activity: Visually distinguish when each major trading session is active, then compare price action across sessions.
Pinpoint High/Low Liquidity Levels: Drawn rays highlight where the market hit its extremes—critical zones for stop orders or breakout entries.
Multi-Timeframe Context: By seeing historical session boxes and rays, you can locate recurring supply/demand areas, overlap zones, or session re-tests.
Fully Automated Workflow: Once added to your chart, the script does all the work of tracking session boundaries and drawing high/low lines—no manual box or line drawing necessary.
Example Use Cases:
London Breakout Traders: See where London’s high/low formed, then wait for price to revisit those levels during the New York session.
Range Breakout Strategies: If price consolidates inside the London box, use the boxed extremes as immediate targets for breakout entries.
Intraday Liquidity Swings: During quieter hours, watch Asia’s high/low to identify potential support/resistance before London’s opening.
Overlap Zones: Compare London’s range with Asia’s range to find areas of confluence—high-probability reversal or continuation zones.
Inverse Fair Value Gap [Pro+]Introduction
Inverse Fair Value Gap° is a fully customizable charting tool built to track inversion fair value gap logic that occur after displacement events—specifically when Fair Value Gaps (FVGs) are closed through, and effectively flipping their original state. The tool is inspired by Inner Circle Trader (ICT) concepts, offering a clean visual interface to support traders studying price behaviour after liquidity sweeps, FVG closures, and highlighting mechanical swings targets.
This indicator does not draw zones or suggest direction. It operates entirely on confirmed price events and produces logic-bound visuals designed for traders who already understand IFVG-based reasoning and seek visual consistency across sessions, Timeframe on any instrument.
Key Terms and Definitions
Swing High / Swing Low: A swing high is a local price peak with lower highs on either side. A swing low is a local trough with higher lows on either side. These are used to detect where liquidity may rest and are required for confirming the initial raid condition in the IFVG model.
Liquidity Raid: This occurs when price trades through a prior swing high or low, effectively “sweeping” a level where orders may be clustered around. The raid is a required precursor to inversion logic in this model. The tool will not evaluate a potential Fair Value Gap or Inversion Fair Value Gap unless a swing high or low has been taken first.
Fair Value Gap (FVG): A Fair Value Gap is a price imbalance that occurs when a strong move leaves a gap between candles—specifically, when the high of one candle and the low of a later candle do not overlap. FVGs often emerge during displacement and are commonly studied as inefficiencies within a price leg.
Inversion Fair Value Gap: An inversion happens when price fully closes through an existing Fair Value Gap that raided liquidity, suggesting the original imbalance rebalanced, and looks to reverse its original role. For example, when a bearish FVG is closed above after raiding a swing low, it may present a shift in orderflow (bullish inversion). The tool recognizes IFVGs as “inverted” after a candle body candle closes through the gap post raid.
Displacement: A strong directional price move, typically with momentum, that leaves a Fair Value Gap behind. Displacement is important in inversion logic, as it creates the context and confidence in comparing and contrasting FVGs and Inversions for obvious flips in market behaviour.
IFVG Line: Once inversion occurs, the indicator draws a single horizontal array on the candle's close. It marks the start of model activation. This is not a prediction level or a support/resistance area, as it merely serves as a reference for when model logic is sequentially active.
Opposing Swing: The swing high or low opposite the one that was swept during the initial raid. This becomes the model’s first target for mechanical delivery and is automatically drawn once the IFVG line is plotted. When price reaches this swing, the model has reached its mechanical objective and could offer opportunities for further continuation to additional liquidity pools if orderflow continues to be present.
Invalidation: The Inversion Fair Value Gap is considered invalid in one of two scenarios, which the user can toggle individually: a body print back above/below the inversion in bearish/bullish conditions, or trading above/below the most recent swing high/low after the liquidity raid. The IFVG line will continue extending until the setup is invalidated by the chosen toggle, or when the Opposing Swing is reached.
Consequent Encroachment (CE): The midpoint (50%) of the FVG or IFVG. This line can be optionally displayed for users who use the midpoint of imbalances for reference of imbalance respect. It is not required by the model’s internal logic but may assist with discretionary interpretation.
Description
At its core, IFVG° follows a structured three-step logic sequence: a FVG is created, liquidity is taken, and the Fair Value Gap (FVG) inside of the leg of the raid is closed through, signally a potential orderflow shift. Once inversion is confirmed, an IFVG line is plotted at the close of the candle that caused the inversion, making it the structural anchor for the model.
The tool does not account for partial fills or candle wicks for FVGs or IFVGs. Only full-body closures through a qualifying FVG are recognized. When this occurs, a bullish or bearish inversion is plotted and the model becomes active. From there, the opposing swing (the unswept high or low from the displacement leg) is automatically drawn as the target for the model.
The model remains active until either the opposing swing is tagged (completion) or Invalidation Condition is triggered (close through IFVG, or price violating the liquidity raid swing). Upon invalidation, the IFVG line turns gray, signaling that the structure is no longer valid for ongoing tracking.
Key Features
The Bias allows traders to define whether to track bullish inversions (closing above bearish FVGs), bearish inversions (closing below bullish FVGs), or neutral to see both. This allows isolated directional focus as well as the ability to display all models.
The Liquidity Timeframe defines the Timeframe for swing highs and lows that are identified for the required liquidity raid. The Chart mode allows analysts to use the active chart Timeframe. Auto enables a pre-defined Timeframe Alignment, explained inside of the setting tooltip. Custom allows for user-defined Timeframe alignment, which is helpful when syncing with specific higher-Timeframe structures. Session allows the user to use session highs and lows for the liquidity raid. Observe the difference in the IFVG' model activations based on different Liquidity Timeframe configurations:
Chart:
Automatic:
Custom (4H):
Session:
The FVG Filter Timeframe requires the IFVG setup to trade into a FVG before qualifying the raid filter. For instance, setting this to 4H ensures that only setups that form within a 4-hour FVG. This gives analysts an additional filter to qualify the start of the mechanical model.
The Session Filter enables traders to define up to four specific Time blocks when the model is permitted to trigger. The Macros Only toggle filters setups further by limiting activation to the first and last 10 minutes of each hour, a filter inspired for intraday traders and scalpers.
The Invalidation Condition determines when a IFVG is considered no longer valid. The Close option will maintain the inversion as active until price prints a body past the IFVG. Swing will maintain the inversion as active until the most recent swing from the liquidity raid is traded through; in this case a warning icon will appear once price prints a candle body past the IFVG.
Model Style includes customizable controls for the IFVG line, the opposing swing marker, and invalidated states. Label appearance, line styles, and extension behaviour are fully user-controlled. Traders can also enable the Consequent Encroachment (CE) line, which marks the 50% midpoint of the FVG.
An Info Table is available to display the charts Timeframe, current model state, toggled bias, active Timeframes, asset, and Time filter. Its position is fully customizable and can be moved to match chart preferences.
How Traders Can Use the Indicator Effectively
IFVG° is not meant to identify trade signals, entries, or exits. It is best used as a visual tracker and confluence for structure-based delivery. The tool excels as a companion for:
Journaling and reviewing IFVG-based setups across Timeframes and sessions
Studying structural completion or invalidation behaviour
Tracking delayed deliveries and retracement-based logic
Traders using the tool should be familiar with FVG formations, inversion criterias, and the importance of orderflow once an opposing swing is reached.
Usage Guidance
Add the IFVG° to a TradingView chart. This is a fractal script and can be applied across any Timeframe or asset pairing.
Use the IFVG line to track inversion structure, monitor when inversions are created and negated, and reference the opposing swing to determine whether structural delivery has completed.
Use the IFVG in combination with your own discretion and narrative to assess when the model has flipped, held, or broken.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of any Toodegrees product. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
付费脚本
Swing Highs and Lows Detector🔍 Swing Highs and Lows Detector
The Swing Highs and Lows Detector is a powerful tool for traders looking to identify meaningful structural shifts in price action, based on swing point logic and internal trend shifts.
📈 What It Does
This indicator automatically identifies and labels:
HH (Higher High) – Price broke above the previous swing high
LH (Lower High) – Price failed to break the previous high, signaling potential weakness
LL (Lower Low) – Price broke below the previous swing low
HL (Higher Low) – Price maintained a higher support level, indicating strength
The script distinguishes between bullish and bearish internal shifts and tracks the highest/lowest points between those shifts to determine the swing structure.
⚙️ How It Works
You can choose between two shift detection modes:
"Open": Compares closing price to the first open of the opposite streak
"High/Low": Uses the high of bearish or low of bullish candles
Once a shift is confirmed, the indicator scans the bars between shifts to find the most significant swing high or low
When a valid swing is detected, it’s labeled directly on the chart with color-coded markers
🛎️ Built-in Alerts
Set alerts for:
Higher High
Lower High
Lower Low
Higher Low
These alerts help you catch key structural shifts in real time — great for breakout traders, structure-based analysts, and smart money concepts (SMC) strategies.
✅ How to Use
Confirm Trend Strength or Reversals – Use HH/HL to confirm an uptrend, LL/LH to confirm a downtrend
Combine with Liquidity Sweeps or Zones – Ideal for SMC or Wyckoff-style setups
Entry/Exit Triggers – Use swing breaks to time entries or exits near key structural points
PoiBox# PoiBox: Advanced Market Structure and POI Visualization Tool
PoiBox is a comprehensive market structure analysis tool designed to identify high-probability trading zones through advanced internal market structure (IDM) detection and points of interest (POI) calculation.
## How It Works
The indicator uses a multi-step approach to analyze price action:
1. **Market Structure Identification**: The script identifies significant highs and lows within your selected time range to determine the overall market structure direction (up or down).
2. **IDM Pattern Detection**: It then analyzes internal market structure patterns within this range, focusing on significant price movements that create trading opportunities.
3. **POI Calculation**: Using adaptive ATR measurements across multiple timeframes, the indicator calculates precise POI zones where price is likely to react. These zones are calibrated based on the volatility profile of each identified structure.
4. **Timeframe Correlation**: The script automatically determines which timeframe best matches each structure's size, providing valuable context for your trading decisions.
5. **Technical Implementation**: The indicator uses a sophisticated algorithm to analyze price swings, identify pivot points, and calculate market structure connections. It maintains a database of significant highs/lows and uses these to determine trend direction and potential reversal zones.
## Display Modes
PoiBox offers three powerful display options:
- **Main BOS**: Shows only the most significant breakout structure with its associated POI zone
- **Leg**: Displays the largest price leg within the selected range along with percentage-based POI zones
- **All IDMs**: Reveals all detected internal market structures and their POI zones
## Advanced Features
- **QM Mode**: Visualizes important market structure relationships with dashed lines connecting significant highs and lows
- **Trick Display**: Identifies nested market structures (tricks) within larger patterns, perfect for precision entries
- **Customizable POI Labels**: Control which price labels appear to maintain chart clarity
- **Extensive Color Settings**: Fully customizable colors for all visual elements
- **Safety Functions**: Includes built-in buffer management and error prevention algorithms to ensure stable performance across all timeframes and market conditions
## Trading Examples
**Downtrend Example:**
When PoiBox identifies a downtrend structure (Higher High → High → Low → Lower Low), it creates POI zones based on the market structure. As shown in the chart, these zones provide excellent entry opportunities when price returns to test previous structure. In this example, entering at the red POI zone with a stop above the zone and target at the QM level resulted in a 3.45 risk/reward trade.
**How to Read QM Lines:**
The dashed lines connecting High → Low → Higher High → Lower Low reveal the market's true structure. These connections help you anticipate where price might head next. When price breaks below a significant Low and creates a Lower Low, it confirms the downtrend continuation and provides a trading opportunity when price retests the broken structure.
**POI Zone Interpretation:**
- Red zones indicate bearish POI areas (ideal for short entries)
- Green zones indicate bullish POI areas (ideal for long entries)
- Yellow zones highlight the identified market structure
## Practical Application Example
In the GBP/USD example shown in the chart:
1. PoiBox identified a downtrend structure with Higher High → High → Low → Lower Low
2. The yellow box shows the main market structure area
3. The red POI zone appeared when price returned to test previous structure
4. Entry was taken at the POI zone with stop loss above structure
5. Target was placed at the QM level, resulting in a 3.45 risk/reward ratio trade
6. The dashed QM lines showed the overall market flow and direction
This demonstrates how PoiBox automatically identifies optimal entry and exit points based on market structure, without requiring manual analysis of each price swing.
## Mathematical Approach
PoiBox uses several mathematical concepts to determine market structure and calculate POI zones:
1. **Adaptive ATR Integration**: The script analyzes ATR (Average True Range) across multiple timeframes (M1, M5, M15, H1, H4, D1, W1, MN1) to determine the appropriate volatility context for each structure.
2. **Height-to-ATR Ratio**: The indicator calculates the ratio between structure height and the closest matching ATR value to determine the structure's timeframe context.
3. **Dynamic POI Calculation**: POI values are calculated using the formula:
`POI = factor * (atr_trigger + atr_double_trigger)`
where `factor` is derived from the structure's height-to-ATR ratio.
4. **Self-Adjusting Limits**: If the calculated POI value exceeds certain thresholds relative to structure height, the script automatically applies proportional adjustments to maintain optimal zone sizing.
## What Makes PoiBox Unique
While many indicators use common concepts like support/resistance or trend analysis, PoiBox stands apart through its:
1. **Adaptive POI Calculation**: Unlike static indicators, PoiBox automatically calibrates POI zones based on each market structure's volatility profile by analyzing ATR across multiple timeframes.
2. **Smart Timeframe Detection**: The indicator automatically determines the most relevant timeframe for each structure, eliminating guesswork and helping you align your trading with the appropriate market cycles.
3. **QM Visualization System**: Our proprietary QM visualization method reveals hidden market structure relationships that standard indicators cannot detect, giving you an edge in anticipating price movements.
4. **Nested Pattern Recognition**: The "Trick" detection feature identifies high-probability setups where smaller patterns form within larger ones, creating precise entry opportunities missed by conventional tools.
5. **Self-Adjusting Analysis**: PoiBox dynamically adapts to changing market conditions without requiring manual parameter adjustments, saving you time and increasing accuracy.
These innovations combine to create a truly original trading system that transforms complex market structure concepts into clear, actionable signals.
## How To Use
1. Define your analysis area using the time range selectors (X1 and X2)
2. Choose your preferred display mode based on your trading style
3. Enable QM Mode for additional market structure context if needed
4. Use the POI zones as potential entry and exit areas for your trades
5. Reference the automatically detected timeframe indicators to align your trading with the appropriate timeframe
### Settings Explanation
**Display Settings:**
- Display Mode: Choose between Main BOS, Leg, or All IDMs visualization
- QM Mode: Enable to see market structure connections with dashed lines
**Trick Settings:**
- Trick Display: Show the main trick or all nested patterns
- Trick POI: Control which POI zones appear for trick patterns
**Label Settings:**
- Leg POI %: Customize percentage-based POI zones in Leg mode
- POI Labels: Control which price labels appear on your chart
**Time Range:**
- X1 and X2: Define the analysis area for market structure detection
**Colors:**
- TF Color: Color for timeframe labels
- H/L Color: Color for high/low labels
- QM Lines: Color for market structure connection lines
- Trick Color: Color for nested pattern visualization
This indicator is designed for traders who understand market structure concepts and want a powerful tool that automatically identifies high-probability trading zones based on structural price patterns and volatility-adjusted measurements.
CYCLE BY RiotWolftradingDescription of the "CYCLE" Indicator
The "CYCLE" indicator is a custom Pine Script v5 script for TradingView that visualizes cyclic patterns in price action, dividing the trading day into specific sessions and 90-minute quarters (Q1-Q4). It is designed to identify and display market phases (Accumulation, Manipulation, Distribution, and Continuation/Reversal) along with key support and resistance levels within those sessions. Additionally, it allows customization of boxes, lines, labels, and colors to suit user preferences.
Main Features
Cycle Phases:
Accumulation (1900-0100): Represents the phase where large operators accumulate positions.
Manipulation (0100-0700): Identifies potential manipulative moves to mislead retail traders.
Distribution (0700-1300): The phase where large operators distribute their positions.
Continuation/Reversal (1300-1900): Indicates whether the price continues the trend or reverses.
90-Minute Quarters (Q1-Q4):
Divides each 6-hour cycle (360 minutes) into four 90-minute quarters (Q1: 00:00-01:30, Q2: 01:30-03:00, Q3: 03:00-04:30, Q4: 04:30-06:00 UTC).
Each quarter is displayed with a colored box (Q1: light purple, Q2: light blue, Q3: light gray, Q4: light pink) and labels (defaulted to black).
Support and Resistance Visualization:
Draws boxes or lines (based on settings) showing the high and low levels of each session.
Optionally displays accumulated volume at the highs and lows within the boxes.
Daily Lines and Last 3 Boxes:
How to Use the Indicator
Step 1: Add the Indicator to TradingView
Open TradingView and select the chart where you want to apply the indicator (e.g., UMG9OOR on a 5-minute timeframe, as shown in the screenshot).
Go to the Pine Editor (at the bottom of the TradingView interface).
Copy and paste the provided code.
Click Compile and then Add to Chart.
Step 2: Configure the Indicator
Click on the indicator name on the chart ("CYCLE") and select Settings (or double-click the name).
Adjust the options based on your needs:
Cycle Phases: Enable/disable phases (Accumulation, Manipulation, Distribution, Continuation/Reversal) and adjust their time slots if needed.
90-Minute Quarters: Enable/disable quarters (Q1-Q4).
Step 3: Interpret the Indicator
Identify Cycle Phases:
Observe the red boxes indicating the phases (Accumulation, Manipulation, etc.).
The high and low levels within each phase are potential support/resistance zones.
If volume is enabled, pay attention to the accumulated volume at highs and lows, as it may indicate the strength of those levels.
Use the 90-Minute Quarters (Q1-Q4):
The colored boxes (Q1-Q4) divide the day into 90-minute segments.
Each quarter shows the price range (high and low) during that period.
Use these boxes to identify price patterns within each quarter, such as breakouts or consolidations.
The labels (Q1, Q2, etc.) help you track time and anticipate potential moves in the next quarter.
Analyze Support and Resistance:
The high and low levels of each phase/quarter act as support and resistance.
Daily lines (if enabled) show key levels from the previous day, useful for planning entries/exits.
The "last 3 boxes below price" (if enabled) highlight potential support levels the price might target.
Avoid Manipulation:
During the Manipulation phase (0100-0700), be cautious of sharp moves or false breakouts.
Use the high/low levels of this phase to identify potential traps (as explained in your first question about manipulation candles).
Step 4: Trading Strategy
Entries and Exits:
Support/Resistance: Use the high/low levels of phases and quarters to set entry or exit points.
For example, if the price bounces off a Q1 support level, consider a buy.
Breakouts: If the price breaks a high/low of a quarter (e.g., Q2), wait for confirmation to enter in the direction of the breakout.
Volume: If accumulated volume is high near a key level, that level may be more significant.
Risk Management:
Place stop-loss orders below lows (for buys) or above highs (for sells) identified by the indicator.
Avoid trading during the Manipulation phase unless you have a specific strategy to handle false breakouts.
Time Context:
Use the quarters (Q1-Q4) to plan your trades based on time. For example, if Q3 is typically volatile in your market, prepare for larger moves between 03:00-04:30 UTC.
Step 5: Adjustments and Testing
Test on Different Timeframes: The indicator is set for a 5-minute timeframe (as in the screenshot), but you can test it on other timeframes (e.g., 1-minute, 15-minute) by adjusting the time slots if needed.
Adjust Colors and Styles: If the default colors are not visible on your chart, change them for better clarity.
---
📌 1. **Accumulation: Strong Institutional Activity**
- During the **accumulation phase, we see **high volume: 82.773K, which suggests strong buying interest**, likely from institutional players.
- This sets the base for the following upward move in price.
---
📌 2. **Manipulation: False Breakout with Lower Volume**
- Later, there's a manipulation phase where price breaks above previous highs, but the volume (71.814K) is **lower than during accumulation**.
- This implies that buyers are not as aggressive as before—no real demandbehind the breakout.
- It’s likely a bull trap, where smart money is selling into the breakout to exit their positions.
---
### 📌 3. Distribution: Weakness and Lack of Demand
- The market enters a distribution phase, and volume drops even further (only 7.914K).
- Price struggles to go higher, and you start seeing rejections at the top.
- This shows that demand is drying up, and smart money is offloading positions**—not accumulating anymore.
---
### 💡 Why Take the Short Here?
- Volume is not increasing with new highs—showing weak demand**.
- The manipulation volume is weaker than the accumulation volume, confirming the breakout was likely false.
- Structure starts to break down (Q levels falling), which confirms weakness.
- This creates a high-probability short setup:
- **Entry:** after confirmation of distribution and structural breakdown.
- **Stop loss:** above the manipulation high.
- **Target:** down toward previous lows or value zones.
---
### ✅ Conclusion
Since the manipulation volume failed to exceed the accumulation volume, the breakout lacked real strength. Combined with decreasing volume in the distribution phase, this indicates fading demand and supply taking control—which justifies entering a short position.
Teddy LiteOverview
"Teddy" overlays key price levels—Daily Open (DO), Average Daily Range (ADR), and ADR Extensions (ADE)—on intraday charts. Designed for traders, it provides a clear framework to align with market ranges, avoid choppy price action, and stay out of overbought/oversold conditions, enhancing decision-making in dynamic markets.
Originality and Usefulness
"Teddy" uniquely combines DO, ADR High/Low, and ADE High/Low with dynamic percentage labels, while offering a concise view of price boundaries for daily Highs and Lows.
What It Does
Plots DO, ADR High/Low, and ADE High/Low as levels on the chart.
Labels each level with percentage distances from the current price (e.g., "ADRH (2.34%)").
Customizes visuals for clarity (colors, line styles, label sizes).
How It Works
Data Sources: Retrieves daily open and historical high/low data to compute ranges.
Calculations:
Daily Open (DO): Marks the session’s opening price.
ADR: Estimates typical daily range from past data, centered on DO to set High/Low bounds.
ADE: Extends ADR by a fixed percentage for outer limits.
Visualization: Updates lines and labels live, with user-defined colors, styles, and sizes.
How It Helps Traders
"Teddy" guides traders to avoid chasing markets in extended conditions:
Respecting the range: ADR High/Low define range-friendly zones—price above DO nearing ADR High signals bullish momentum is peaking, while below DO near ADR Low supports bearish momentum peaking.
Avoiding Choppy Conditions: Price lingering near DO often indicates indecision; "Teddy" highlights this level, helping you define balanced market conditions that favor choppy conditions.
Steering Clear of Overbought/Oversold: ADE High/Low mark extended levels where reversals are extremely—price hitting ADE Highlights the trend strength on the day but warns price is extremely over extended.
This structured approach keeps trades aligned with the markets average range, so traders can avoid extremes favorable levels for choppiness.
How to Use It
Apply to an intraday chart (e.g., SPY 5m).
Customize via inputs:
"Appearance Settings": Colors, line styles (Solid, Dotted, Dashed), widths (1-6), label visibility, and sizes (Tiny to Huge).
Watch levels: Consider reducing risk as the market approaches our ADRH/L levels. Trades can also play breakouts/failed breakouts at ADR High/Low or at ADE High/Low. Additionally remaining patient while the auction remains in balance near Day Open is an option as well.
Underlying Concepts
Range Dynamics: ADR reflects average daily volatility, DO anchors context, and ADE flags extensions.
Price Action: Levels highlight Volatility/Range (ADR) versus consolidation (DO) or expansive exhaustion (ADE).
Limitations
Optimized for day traders during live sessions; less effective in low-volatility periods.
Requires sufficient historical data for accurate ADR/ADE.
Levels are contextual and where I expect reactive price action to occur.. They are not guaranteed signals.
Dynamic HL VWAP+ | Current & Prev🔴 Dynamic HL VWAP+ | Current & Previous 🔴
A precision volume-weighted tool for traders who want more than just standard VWAP.
🧠 What It Does
The Dynamic HL VWAP+ is a powerful custom-built indicator that anchors Volume Weighted Average Price (VWAP) lines not from the session open, but from the highest and lowest points of dynamically detected price cycles.
Unlike traditional VWAPs, this tool recalculates its anchor points from:
🔺 The most recent swing high (Highest Price in Lookback Period)
Please note currently it's limited to the default value or lower, as any higher, and it will conflict with Pine's restriction on "memory allocation" system for this kind of effort. Will update if there is any change in that.
🔻 The most recent swing low (Lowest Price in Lookback Period)
Then it does the same for the previous cycle (before the current lookback window), allowing you to see how price is behaving relative to past and present price extremes.
⚙️ Key Features
✅ Dynamic Anchoring
Anchors VWAPs from the most recent High and Low over a user-defined lookback period (len).
✅ Multi-Cycle Context
Plots both Current and Previous high/low-anchored VWAPs for contextual analysis.
✅ VWAP from Highs and Lows Separately
You’ll see how price reacts around bullish (High VWAP) and bearish (Low VWAP) pressures—great for scalping, pullbacks, and reversion plays.
✅ Line Visibility Control
You decide which lines to show:
Current High VWAP
Current Low VWAP
Previous High VWAP
Previous Low VWAP
✅ Lightweight and Label-Free
Optimized for performance. No labels, no alerts, just clean and effective plotting.
📈 How to Use
1. Trend Confirmation
When price holds above the Low VWAP or breaks the High VWAP, it signals trend strength.
If price rejects at High VWAP or fails to hold Low VWAP, it's a potential reversal/retest zone.
2. Reversion-to-Mean Plays
Look for price moving far from the VWAP lines and then curling back.
Works great on volatile intraday moves or swing setups.
3. Compare Current vs. Previous Cycle
If current VWAPs are higher than the previous ones, it shows bullish progress.
Converging VWAPs from prior and current cycles often indicate a squeeze or decision point.
📊 Example Scenarios
Example 1 – Intraday Bounce Play:
Price drops into a prior cycle’s Low VWAP line and forms a base—an ideal area to look for long scalps.
Example 2 – Breakout Retest:
Price breaks above the Current High VWAP, then comes back to retest it. If it holds, the breakout is likely valid.
Example 3 – Reversal Setup:
Price is trending up but fails at Current High VWAP and breaks down below Current Low VWAP—watch for short signals.
🛠 Settings
Lookback Bars: Defines how far back to look for the current swing High/Low (default = 66).
VWAP Source: Use ohlc4 for a balanced average, or customize to your preference.
Visibility Toggles: Easily enable/disable each of the four VWAP lines.
🧪 Best Timeframes & Markets
Works across all timeframes
Great for futures, crypto, stocks
Especially useful on 15m–1H intraday charts and 4H–D for swings
💬 Final Thoughts
If you're tired of static VWAPs that only anchor from the open, the Dynamic HL VWAP+ gives you a more price-reactive, context-aware, and actionable VWAP structure.
Ideal for:
Day traders looking for mean-reversion plays
Swing traders targeting pullbacks
Anyone who wants smarter VWAP lines built on recent price structure
This is an educational idea and publication, past performance or what you may see on chart might not be replicable for you. Use at your own risk.
Regards
Highs & Lows - Multi TimeFrame### **📌 HL-MWD (Highs & Lows - Multi Timeframe Indicator) – Community Release**
#### **🔹 Overview**
The **HL-MWD Indicator** is a **multi-timeframe support & resistance tool** that plots **historical highs and lows** from **daily, weekly, and monthly timeframes** onto an intraday chart. It helps traders **identify key levels of support and resistance** that have influenced price action over different timeframes.
This indicator is useful for **day traders, swing traders, and position traders** who rely on **multi-timeframe analysis** to spot critical price levels.
---
### **🔥 Key Features**
✅ **Plots Highs & Lows for Daily, Weekly, and Monthly Timeframes**
✅ **Customizable Lookback Periods for Each Timeframe**
✅ **Adjustable Line Colors, Styles (Solid, Dotted, Dashed), and Widths**
✅ **Extend Lines into the Future to Identify Key Price Levels**
✅ **Option to Display Price Labels for Each Level**
✅ **Gradient Option to Highlight Recent Highs & Lows (Disabled by Default)**
✅ **Compatible with Intraday, Daily, and Weekly Charts**
---
### **📈 How It Works**
- **Daily Highs & Lows:** Captures the **highest and lowest prices** within the selected lookback period (default: **14 bars**).
- **Weekly Highs & Lows:** Marks the **highest and lowest prices** within the chosen weekly lookback (default: **52 bars**).
- **Monthly Highs & Lows:** Displays the **high and low points** from the monthly timeframe (default: **36 bars**).
- **Extended Lines:** Project past highs and lows **into the future** to help identify **potential support & resistance zones**.
---
### **⚠️ TradingView Lookback Limitations**
🔹 **TradingView has a limit on how many historical bars can be accessed per timeframe**, which affects how far back the indicator can retrieve data.
🔹 **Intraday charts (e.g., 5m, 15m) have a limited number of past bars**, meaning:
- **You won’t be able to view 36 months' worth of monthly levels** on a **5-minute chart**, because TradingView doesn’t store that much data in lower timeframes.
- **If multiple timeframes (e.g., weekly + monthly) are enabled at the same time**, some historical data may **not be available on shorter timeframes**.
🔹 **Recommendation:**
- If using **monthly lookbacks (36 months+), view them on a daily or higher timeframe**.
- If using **weekly lookbacks (52 weeks+), higher intraday timeframes (e.g., 1-hour, 4-hour) are better suited**.
- **Lower timeframes (1m, 5m, 15m) may miss some levels** if TradingView's bar limit is exceeded.
---
### **⚙️ Customization Options**
| **Setting** | **Default Value** | **Description** |
|------------------|----------------|----------------|
| **Daily Lookback** | `14` | Number of bars used to calculate daily highs/lows. |
| **Weekly Lookback** | `52` | Number of bars used to calculate weekly highs/lows. |
| **Monthly Lookback** | `36` | Number of bars used to calculate monthly highs/lows. |
| **Line Colors** | Daily: `Blue` Weekly: `Green` Monthly: `Red` | Customizable colors for each timeframe. |
| **Line Style** | `Solid` | Options: Solid, Dashed, Dotted. |
| **Line Width** | `1` | Thickness of the plotted lines. |
| **Extend Line** | `1` | Controls how far the highs/lows extend into the future. |
| **Display Price Labels** | `Enabled` | Shows price labels on each level. |
---
### **🛠️ How to Use It**
- **Enable/disable different timeframes** based on your strategy.
- **Customize colors, line styles, and widths** to match your charting style.
- **Use extended lines to identify support & resistance zones.**
- **Watch price reactions at these levels** for potential entries, exits, and stop-loss placements.
---
### **🚀 Final Thoughts**
The **HL-MWD Indicator** is a **powerful multi-timeframe tool** that helps traders **visualize key support & resistance levels** from higher timeframes on an intraday chart.
⚠️ **However, TradingView’s lookback limits apply—so for longer-term levels, higher timeframes are recommended.**
📌 **Now published for the community!** Let me know if you need any last-minute tweaks! 🔥
AlgoCados x ICT ToolkitAlgoCados x ICT Toolkit is a TradingView tool designed to integrate ICT (Inner Circle Trader) Smart Money Concepts (SMC) into a structured trading framework.
It provides traders with institutional liquidity insights, precise price level tracking, and session-based analysis, making it an essential tool for intraday, swing, and position trading.
Optimized for Forex, Futures, and Crypto, this toolkit offers multi-timeframe liquidity tracking, killzone mapping, RTH analysis, standard deviation projections, and dynamic price level updates, ensuring traders stay aligned with institutional market behavior.
# Key Features
Multi-Timeframe Institutional Price Levels
The indicator provides a structured approach to analyzing liquidity and market structure across different time horizons, helping traders understand institutional order flow.
- Previous Day High/Low (PDH/PDL) – Tracks the Previous Day’s High/Low, crucial for intraday liquidity analysis.
- Previous Week High/Low (PWH/PWL) – Monitors the Previous Week’s High/Low, aiding in higher timeframe liquidity zone tracking.
- Previous Month High/Low (PMH/PML) – Highlights the Previous Month’s High/Low, critical for swing trading and long-term bias confirmation.
- True Day Open (TDO) – Marks the NY Midnight Opening Price, providing a reference point for intraday bias and liquidity movements.
- Automatic Level Cleanup – When enabled. pxHigh/pxLow levels gets automatically deleted when raided, keeping the chart clean and focused on valid liquidity zones.
- Monthly, Weekly, Daily Open Levels – Identifies HTF price action context, allowing traders to track institutional order flow and potential liquidity draws.
# Regular Trading Hours (RTH) High, Low & Mid-Equilibrium (EQ)
For futures traders, the toolkit accurately identifies RTH liquidity zones to align with institutional trading behavior.
- RTH High/Low (RTH H/L) – Defines the RTH Gap high and low dynamically, marking key liquidity levels.
- RTH Equilibrium (EQ) – Calculates the midpoint of the RTH range, acting as a mean reversion level where price often reacts.
# Killzones & Liquidity Mapping
The indicator provides a time-based liquidity structure that helps traders anticipate market movements during high-impact trading windows.
ICT Killzones (Visible on 30-minute timeframe or lower)
- Asia Killzone (Asia) – Tracks overnight liquidity accumulation.
- London Open Killzone (LOKZ) – Marks early European liquidity grabs.
- New York Killzone (NYKZ) – Captures US session volatility.
- New York PM Session (PMKZ) – Available only for futures markets, tracking late-day liquidity shifts.
Forex-Specific Killzones (Visible on 30-minute timeframe or lower)
- London Close Killzone (LCKZ) – Available only for Forex, marks the European end of Day liquidity Points of Interests (POI).
- Central Bank Dealers Range (CBDR) – Available only for Forex, providing a liquidity framework used by central banks.
- Flout (CBDR + Asian Range) – Available only for Forex, extending CBDR with Asian session liquidity behavior.
- Killzone History Option – When enabled, Killzones remain visible beyond the current day; otherwise, they reset daily.
- Customizable Killzone Boxes – Modify opacity, colors, and border styles for seamless integration into different trading styles.
CME_MINI:NQH2025 FOREXCOM:EURUSD
# Standard Deviation (STDV) Liquidity Projections
A statistical approach to forecasting price movements based on Standard Deviations of HOTD (High of the Day) and LOTD (Low of the Day).
- Asia, CBDR, and Flout STDV Calculations (Visible on 30-minute timeframe or lower) – Predicts liquidity grabs based on price expansion behavior.
- Customizable Display Modes – Choose between Compact (e.g., "+2.5") or Verbose (e.g., "Asia +2.5") labels.
- Real-Time STDV Updates – Projections dynamically adjust as new price data is formed, allowing traders to react to developing market conditions.
CME_MINI:NQH2025
# Daily Session Dividers
- Visualizes Trading Days (Visible on 1-hour timeframe or lower) – Helps segment the trading session for better structure analysis.
- Daily Divider History Option – When enabled, dividers remain visible beyond the current trading week; otherwise, they reset weekly.
# Customization & User Experience
- Flexible Label Options – Adjust label size, font type, and color for improved readability.
- Intraday-Optimized Data – Killzones (30m or lower), STDV (30m or lower), and Daily Dividers (1H or lower) ensure efficient use of chart space.
- Configurable Line Styles – Customize solid, dotted, or dashed styles for various levels, making charts aesthetically clean and data-rich.
# Usage & Configurations
The AlgoCados x ICT Toolkit is designed to seamlessly fit different trading methodologies.
Scalping & Intraday Trading
- Track PDH/PDL levels for liquidity sweeps and market reversals.
- Utilize Killzones & Session Open levels to identify high-probability entry zones.
- Analyze RTH High/Low & Mid-EQ for potential liquidity targets and reversals.
- Enable STDV projections for potential price expansion and reversals.
Swing & Position Trading
- Use PWH/PWL and PMH/PML levels to determine HTF liquidity shifts.
- Monitor RTH Gap, TDO, and session liquidity markers for trade confirmation.
- Combine HTF bias with LTF liquidity structures for optimized entries and exits.
# Inputs & Configuration Options
Customizable Parameters
- Offset Adjustment – Allows users to shift displayed data horizontally for better visibility.
- Killzone Box Styling – Customize colors, opacity, and border styles for session boxes.
- Session Dividers – Modify line styles and colors for better time segmentation.
- Killzone & Daily Divider History Toggle – Enables users to view past killzones and dividers instead of resetting them daily/weekly.
- Label Formatting – Toggle between Compact and Verbose display modes for streamlined analysis.
# Advanced Features
Real-Time Data Processing & Dynamic Object Management
- Auto Cleanup of pxLevels – Prevents clutter by removing invalidated levels upon liquidity raids.
- Session History Control – Users can toggle historical data for daily dividers and killzones to maintain a clean chart layout.
- Daily & Weekly Resets – Ensures accurate session tracking by resetting daily dividers at the start of each new trading week.
CME_MINI:NQH2025
# Example Use Cases
- Day Traders & Scalpers – Utilize Killzones, PDH/PDL, DO and TDO levels for precise liquidity-based trading opportunities.
- Swing Traders – Leverage HTF Open Levels, PWH/PWL liquidity mapping, and TDO for trend-based trade execution.
- Futures Traders – Optimize trading with RTH High/Low, Mid-EQ, and PMKZ for session liquidity tracking.
- Forex Traders – Use CBDR, Flout, and session liquidity mapping to align with institutional order flow.
CME_MINI:ESH2025
"By integrating institutional concepts, liquidity mapping, and smart money methodologies, the AlgoCados x ICT Toolkit empowers traders with a data-driven approach to market inefficiencies and liquidity pools."
# Disclaimer
This tool is designed to assist in trading decisions but should be used in conjunction with other analysis methods and proper risk management. Trading involves significant risk, and traders should ensure they understand market conditions before executing trades.
MTF Fractal Bias Confluence DetectorMTF Fractal Bias Confluence Detector
This indicator, the MTF Fractal Bias Confluence Detector, is based on the idea that the market exhibits fractal behaviour. The origin of the idea traces back to 1963, when Benoit Mandelbrot analyzed the fluctuations in cotton prices over a time series starting in 1900, discovering that price changes exhibited scale-invariant patterns. This means that the curve representing daily price changes mirrored the shape of monthly price changes, highlighting the fractal nature of market behaviour. When applied to swing points across multiple timeframes (MTF), this concept suggests that swing points demonstrate similar patterns regardless of the timeframe being analyzed. These self-similar fractal structures provide traders with insights into market reversals and trends, making them a powerful tool for multi-timeframe analysis.
A Swing Point is made up of three main parts: a move away from the last Break level; forming a peak (pivot point) with a Fakeout of the peak (explained through an example later); and a subsequent move away from it. These swing points recur across all timeframes as part of cyclical momentum patterns, meaning each swing point gives rise to a new cycle of market movement. Due to the fractal nature of the market, larger cycles encompass multiple smaller ones.
The theory behind the Fractal Bias Confluence Detector utilizes the idea that the market movements are fractal in nature and illustrates how such swing points can be identified across MTFs. To do so, we examine the Peak Fakeouts within these cycles, as they form. It is not possible to know in advance how long each of these moves will last, but a Swing Point will often occur with a Peak Fakeout. Therefore, the most critical element is to identify the Peak Fakeout.
The snapshot below captures a Peak Fakeout, as discussed earlier.
Similarly, the following snapshot shows various possible breakdowns of Higher Time Frame (HTF) cycles into smaller Lower Time Frame (LTF) movements. The chart contains a white table(not part of the indicator and shown for illustration purposes only).
To further illustrate. Consider the combination of Time Frames (TF) from the 2nd row (from the above snapshot). Cycle TF (1M), Setup TF (1W), Momentum TF (1D) etc.
Price movements in the 1M TF highlight the direction in which HTF traders are pushing the market. Often, when markets have broken out of a level, they tend to form a peak and can then pull back towards the prior breakout level. Once the pullback is beyond the last breakout level, in the opposite direction, we may say the peak formation is created, and directional bias has changed. This is also called Peak Fakeout. Due to the fractal nature of the market, Swing Points on the HTF will often constitute multiple Swing Points on the LTF, though they are not always in sync. However, after such peak formation, there is a high probability that the price might move away from the peak for at least 1 candle (in the cycle TF). This theory illustrates that once a new cycle is in play, we can then look at 1W (Setup TF) to look for possible in-sync movements, at least within that 1 candle of the HTF. Repeating the same for further lower TFs, we may arrive at a confluence of Fractal Bias and see how the movements in LTF are driven by the HTF momentum.
Another example within the chart:
Note: The above examples are just for illustration purposes, and other permutations and combinations of movements across multiple TFs are also possible.
This indicator aims to help users identify such fractal-bias-confluences, so that they can leverage the fractal nature of the market to get a holistic view. To do so, the indicator displays how the market has moved across multiple time frames, with respect to different historical levels.
Features:
1. The bias summary table
The following snapshot depicts the bias summary table at the bottom right of the chart.
1.1. Workings: The table will display, for various TFs, in the first four (starting from "current" to Prev ) rows, one of the following.
"F/H" , " Acronym for the failed break of the previous high",
"F/L" , " Acronym for the failed break of the previous low",
"B/H" , " Acronym for the break of the previous high",
"B/L" , " Acronym for the break of the previous low",
"IN" , " Acronym for an inside candle (never broke high or low of perv candle)",
"OT" , " Acronym for an outside candle (broke both high and low of previous candle and closing price is in between previous high and low)".
Note: these acronyms are customizable according to the user's choice of terminology in any language, as shown in the snapshot below.
1.1.1 In the above snapshot, the 1st row, called "Current", shows how the current candle is evolving with respect to the previous one. The "previous" row shows how the previous candle closed with respect to the pre-previous one. The next two rows represent the bias of the pre-previous and pre-pre-previous in a similar manner. By default, the bias is updated in real-time, even for the already closed historical candles. For example, if the previous 4H candle closed as a B/H and the current price then comes below the pre-previous 4H candle high, then the bias of the previous candle will get updated to F/H. This informs the user that the break above the pre-previous high has failed. However, the user has the option to turn this off. The information in these four rows shows the user how the market is moving currently and how it evolved before reaching the current price levels.
Note: The calculation done by the indicator is to keep track of how the price is moving with respect to the last candle levels in real-time. This means if the price first goes above the previous high and then goes below the previous low, the indicator is equipped to display what happened in the most recent time. The snapshot below shows the option to turn on/off such updates in the bias summary table.
Note: While the bias summary table is turned on, the user also has the option to turn off Prev and Prev rows, as shown in the snapshot below.
1.1.2 The 2nd to last row, called CL/CS(Consecutive Long/Short), shows whether consecutive (2+) breaks of high/low happened or not in one direction without taking out the previous candle's range in the opposite direction. When conditions are met, it will show the number of times the price has been pushed in one direction (in the above manner), followed by "L" for long and "S" for short, for each TF, for example, "4L". It gets updated in real-time for each push in the same direction. Furthermore, a good analogy of "4L" on an HTF is 4 consecutive Break of Structure (BOS) (in the same direction) on LTF, without a Change of Character (CHoCH). Another example would be Stacey Burke's 3 consecutive rises that can be mapped in the indicator, if the conditions are met for "3L" for a given TF.
1.1.3 The last row, FRC/FGC, stands for the first red/green candle. It shows whether the last candle of a TF has closed as green (i.e., close>open) after posting two red candles (i.e., close
HTF Hi-Lo Zones [CHE]HTF Hi-Lo Zones Indicator
The HTF Hi-Lo Zones Indicator is a Pine Script tool designed to highlight important high and low values from a selected higher timeframe. It provides traders with clear visual zones where price activity has reached significant points, helping in decision-making by identifying potential support and resistance levels. This indicator is customizable, allowing users to select the resolution type, control the visualization of session ranges, and even display detailed information about the chosen timeframe.
Key Functionalities
1. Timeframe Resolution Selection:
- The indicator offers three modes to determine the resolution:
- Automatic: Dynamically calculates the higher timeframe based on the current chart's resolution.
- Multiplier: Allows users to apply a multiplier to the current chart's timeframe.
- Manual: Enables manual input for custom resolution settings.
- Each resolution type ensures flexibility to suit different trading styles and strategies.
2. Data Fetching for High and Low Values:
- The indicator retrieves the current high and low values for the selected higher timeframe using `request.security`.
- It also calculates the lowest and highest values over a configurable lookback period, providing insights into significant price movements within the chosen timeframe.
3. Session High and Low Detection:
- The indicator detects whether the current value represents a new session high or low by comparing the highest and lowest values with the current data.
- This is crucial for identifying breakouts or significant turning points during a session.
4. Visual Representation:
- When a new session high or low is detected:
- Range Zones: A colored box marks the session's high-to-low range.
- Labels: Optional labels indicate "New High" or "New Low" for clarity.
- Users can customize colors, transparency, and whether range outlines or labels should be displayed.
5. Information Box:
- An optional dashboard displays details about the chosen timeframe resolution and current session activity.
- The box's size, position, and colors are fully customizable.
6. Session Tracking:
- Tracks session boundaries, updating the visualization dynamically as the session progresses.
- Displays session-specific maximum and minimum values if enabled.
7. Additional Features:
- Configurable dividers for session or daily boundaries.
- Transparency and styling options for the displayed zones.
- A dashboard for advanced visualization and information overlay.
Key Code Sections Explained
1. Resolution Determination:
- Depending on the user's input (Auto, Multiplier, or Manual), the script determines the appropriate timeframe resolution for higher timeframe analysis.
- The resolution adapts dynamically based on intraday, daily, or higher-period charts.
2. Fetching Security Data:
- Using the `getSecurityDataFunction`, the script fetches high and low values for the chosen timeframe, including historical and real-time data management to avoid repainting issues.
3. Session High/Low Logic:
- By comparing the highest and lowest values over a lookback period, the script identifies whether the current value is a new session high or low, updating session boundaries and initiating visual indicators.
4. Visualization:
- The script creates visual representations using `box.new` for range zones and `label.new` for session labels.
- These elements update dynamically to reflect the most recent data.
5. Customization Options:
- Users can configure the appearance, behavior, and displayed data through multiple input options, ensuring adaptability to individual trading preferences.
This indicator is a robust tool for tracking higher timeframe activity, offering a blend of automation, customization, and visual clarity to enhance trading strategies.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
Trading Sessions with Highs and LowsTrading Sessions with Highs and Lows is designed to visually highlight specific trading sessions on the chart, providing traders with key insights into market behavior during these time periods. Here’s a detailed explanation of how the indicator works:
Key Features
1. Session Boxes:
• The indicator plots colored boxes on the chart to represent the price range of defined trading sessions.
• Each box spans the session’s start and end times and encapsulates the high and low prices during that period.
• Two trading sessions are defined by default:
• USA Trading Session: 9:30 AM - 4:00 PM (New York Time).
• UK Trading Session: 8:00 AM - 4:30 PM (London Time).
2. Session Labels:
• The name of the session (e.g., “USA” or “UK”) is displayed above the session box for clear identification.
3. High and Low Markers:
• Markers are added to the chart at the session’s high and low points:
• High Marker: A green label indicating the session high.
• Low Marker: A red label indicating the session low.
4. Dynamic Reset:
• After the session ends, the session high and low values are reset to na to prepare for the next trading day.
5. Customizable Background Colors:
• Each session’s box has a distinct, semi-transparent background color for better visual separation.
How It Works
1. Core Functionality:
• A function, plot_box, takes the session name, start time, end time, and background color as input.
• It calculates whether the current time is within the session.
• During the session:
• It tracks the session’s highest and lowest prices.
• It identifies the bars where the high and low occurred.
• At the session’s end:
• It plots a box on the chart covering the session’s time and price range.
• Labels are created for the session name and its high/low points.
2. Session Timing:
• Timestamps for the USA and UK trading sessions are calculated using the timestamp function with respective time zones.
3. Visual Elements:
• The box.new function draws the session boxes on the chart.
• The label.new function creates session name and high/low labels.
Usage
• Overlay Mode: The indicator is applied directly on the price chart (overlay=true), making it easy to visualize session-specific price behavior.
• Trading Strategy:
• Identify session-specific support and resistance levels.
• Observe price action trends during key trading periods.
• Align trading decisions with session dynamics.
Customization
While the indicator is preset for the USA and UK trading sessions, it can be easily modified:
1. Add/Remove Sessions: Define additional sessions by providing their start and end times.
2. Change Colors: Update the background_color in the plot_box calls to use different colors for sessions.
3. Adjust Time Zones: Replace the current time zones with others relevant to your trading style.
Visualization Example
• USA Session:
• Time: 9:30 AM - 4:00 PM (New York Time).
• Box Color: Semi-transparent orange.
• UK Session:
• Time: 8:00 AM - 4:30 PM (London Time).
• Box Color: Semi-transparent green.
Why Use This Indicator?
1. Market Awareness: Easily spot price behavior during high-liquidity trading periods.
2. Trend Analysis: Analyze how sessions overlap or affect each other.
3. Session Boundaries: Use session high/low levels as dynamic support and resistance zones.
This indicator is an essential tool for intraday and swing traders who want to align their strategies with key market timings.
