Trend Gauge [BullByte]Trend Gauge
Summary
A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status.
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## 1. Purpose of the Indicator
Why this was built
Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades.
Key Design Goals
Signal Aggregation
Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically.
Market Regime Awareness
Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts.
Magnitude-Based Scaling
Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength.
Momentum Divergence Penalty
Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries.
Confidence Transparency
Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable.
Momentum Acceleration Visualization
Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making.
Compact Informational Dashboard
Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment.
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## 2. Why a Trader Should Use It
Main benefits and use cases
1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals.
2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts.
3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized.
4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal.
5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions.
6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator.
7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts.
8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic.
9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications.
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## 3. Component Rationale (“Why These Specific Indicators?”)
Each sub-component was chosen because it adds complementary information about trend or momentum:
1. EMA Cross
o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets.
2. VWMA Momentum
o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum.
3. Volume Spikes
o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars.
4. ATR Breakout
o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal.
5. Higher-Timeframe EMA Alignment
o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases.
6. ADX Regime Filter (Manual Calculation)
o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired).
7. RSI Pivot-Divergence Penalty
o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise.
8. Confidence Meter
o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals.
9. Δ Score Momentum View
o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator.
10. Dashboard
• A table in the indicator pane’s top-right with 11 rows:
1. EMA Cross status
2. VWMA Momentum status
3. Volume Spike status
4. ATR Breakout status
5. Higher-Timeframe Trend status
6. Score (numeric)
7. Confidence %
8. Regime (“Trending” or “Ranging”)
9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”)
10. Gauge bar visually representing score magnitude
• All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency.
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## 4. What Makes This Indicator Stand Out
• Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals.
• Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1.
• Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time.
• Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric.
• Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early.
• Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts.
• Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias.
• Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear.
• Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips.
• Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations.
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## 5. Recommended Timeframes & Tuning
• Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However:
o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence.
o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart).
• Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust:
o ADX threshold (e.g., 20–30) based on instrument volatility.
o VWMA and ATR scaling lengths to match average volatility cycles.
o Pivot lookback for divergence: shorter for faster markets, longer for slower ones.
• Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor.
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## 6. How Scoring and Logic Works (Step-by-Step)
1. Compute Sub-Scores
o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0.
o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to .
o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0.
o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low.
o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment.
2. ADX Regime Weighting
o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.”
o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired).
3. Aggregate Raw Score
o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero.
4. Divergence Penalty
o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:
If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).
If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty.
o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright.
5. Normalize and Smooth
o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range.
o Optional EMA smoothing of this normalized score to reduce noise.
6. Interpretation
o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral.
o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”).
o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration.
o Confidence: Percentage of sub-indicators aligned with the score’s sign.
o Regime: Indicates whether trend-based signals are fully weighted or down-weighted.
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## 7. Oscillator Plot & Visualization: How to Read It
Main Score Line & Area
The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds.
Δ Score Histogram
If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar.
Divergence Highlight Fill
If enabled, when a pivot-based divergence is confirmed:
• Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish.
• Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish.
These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag.
Trend Direction Label
When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur.
Dashboard Panel
In the indicator pane’s top-right, a table shows:
1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled”
2. VWMA Momentum status: similarly
3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled”
4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled”
5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled”
6. Score: numeric value (rounded)
7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low)
8. Regime: “Trending” or “Ranging” (colored accordingly)
9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”)
10. Gauge: a bar of blocks representing |score|/100
All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny).
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## 8. Example Usage (Illustrative Scenario)
Example: BTCUSD 5 Min
1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small.
2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment.
3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits.
4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur.
5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section.
6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right.
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## 9. Inputs Explanation
A concise yet clear summary of inputs helps users understand and adjust:
1. General Settings
• Theme (Dark/Light): Choose background-appropriate colors for the indicator pane.
• Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible.
2. Indicator Settings
• Enable EMA Cross: Toggle on/off basic EMA alignment check.
o Fast EMA Length and Slow EMA Length: Periods for EMAs.
• Enable VWMA Momentum: Toggle VWMA momentum check.
o VWMA Length: Period for VWMA.
o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum.
• Enable Volume Spike: Toggle volume spike detection.
o Volume SMA Length: Period to compute average volume.
o Volume Spike Multiplier: How many times above average volume qualifies as spike.
o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish.
• Enable ATR Breakout: Toggle ATR breakout detection.
o ATR Length: Period for ATR.
o Breakout Lookback: Bars to look back for recent highs/lows.
o ATR Multiplier: Multiplier for breakout threshold.
• Enable Higher Timeframe Trend: Toggle HTF EMA alignment.
o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off.
• Enable ADX Regime Filter: Toggles regime-based weighting.
o ADX Length: Period for manual ADX calculation.
o ADX Threshold: Value above which market considered trending.
o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5).
• Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude.
o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum.
• Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR.
o ATR Scale Cap: Maximum multiple of ATR used for breakout strength.
• Enable Price-RSI Divergence: Toggle divergence detection.
o RSI Length for Divergence: Period for RSI.
o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low.
o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5).
3. Score Settings
• Smooth Score: Toggle EMA smoothing of normalized score.
• Score Smoothing Length: Period for smoothing EMA.
• Weak Threshold: Absolute score value under which trend is considered weak or neutral.
• Medium Threshold: Score above Weak but below Medium is moderate.
• Strong Threshold: Score above this indicates strong trend.
4. Visualization Settings
• Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true.
• Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true.
Each input has a tooltip in the code.
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## 10. Limitations, Repaint Notes, and Disclaimers
10.1. Repaint & Lag Considerations
• Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result:
o Divergence labels or fills appear with a delay equal to the pivot lookback.
o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag.
o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed.
• Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars.
• No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off.
10.2. Market & Noise Considerations
• In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters.
• On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features.
• On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals.
10.3. Not a Standalone Trading System
• This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management.
• Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context).
• No guarantees: past behavior does not guarantee future performance.
10.4. Disclaimers
• Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice.
• Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management.
• No Guarantees: The author is not responsible for trading outcomes based on this indicator.
• License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms.
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## 11. Alerts
• The indicator defines three alert conditions:
1. Bullish Trend: when the aggregated score crosses above the Weak threshold.
2. Bearish Trend: when the score crosses below the negative Weak threshold.
3. Neutral Trend: when the score returns within ±Weak after being outside.
Good luck
– BullByte
在脚本中搜索"trend"
Power Trend [MacAlgo]Description:
The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes.
Key Features:
Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection.
Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends.
Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions.
Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements.
Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences.
Highlighting: Highlights trending bars for easy visualization of market conditions.
Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time.
How it Works:
1. ATR-Based Trend Calculation:
ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe.
Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines.
2. Moving Averages:
EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends.
AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference.
3. Volume Analysis:
Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength.
Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements.
4. Momentum Indicators:
RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength.
5. Signal Generation:
Standard Signals: Basic buy and sell signals based on trend crossovers.
Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades.
Customization Options:
Tailor the Power Trend Indicator to your specific trading needs with the following settings:
ATR Period: Set the period for ATR calculation (default: 8).
ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0).
Source: Choose the price source (e.g., HL2, Close) for calculations.
Change ATR Calculation Method: Toggle between different ATR calculation methods.
Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart.
Highlighting: Turn on or off the bar highlighting feature.
Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set
the indicator's timeframe.
Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes).
Visual Components:
Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral).
Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line.
Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals.
Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors.
Highlighting: Transparent overlays highlight trending areas to enhance visual clarity.
Alerts:
Stay informed with customizable alerts that notify you of important market movements:
SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated.
Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions.
Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa.
How to Use:
Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView.
Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing.
Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend.
Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points.
Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities.
Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience.
Important Notes:
Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy.
Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary.
Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital.
Disclaimer:
This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
Donchian Trend Ranges [AlgoAlpha]🚀🔗 Donchian Trend Ranges 🔗🚀
Elevate your trading game with the Donchian Trend Ranges indicator from AlgoAlpha! 🌟📈 This advanced tool helps you visualize market trends and potential reversal points using Donchian channels, volatility measures, and average true range (ATR).
Key Features
⚙️ Customizable Parameters: Adjust the lookback period and range multiplier to fit your trading style.
🎨 Color-Coded Trends: Easily distinguish between uptrends and downtrends with customizable colors.
📊 Dynamic Channels: Visualize multiple dynamic channels based on Donchian ranges and volatility.
☁️ Trend Clouds: See market strength and weakness with upper and lower trend clouds.
🔔 Signal Alerts: Get notified of potential trend shifts and take profit points.
How to Use
🛠 Add the Indicator: Add the indicator to favorites. Customize settings such as the lookback period and range multiplier to match your trading needs.
🔍 Analyze Trends: The indicator calculates the highest and lowest prices over a specified period to create dynamic channels. It then uses standard deviation and ATR to adjust these channels for market volatility, plotting upper and lower ranges. Green bars indicate an up trend and red bars for a down trend.
🔔 Set Alerts: Enable notifications for bullish and bearish trend shifts, as well as weak and strong take profit points, ensuring you never miss an opportunity.
How it Works
The Donchian Trend Ranges indicator calculates the highest and lowest prices over a specified period to create a basis line. It creates a range around the basis based on standard deviations and the clouds' width is determined by a 14 period ATR. The basis line and bar colors changes based on whether the closing price is above or below it, indicating trends. Clouds around these lines represent market reversal zones that can be used as entry levels when used in confluence with momentum indicators, visual signals ("X" and "◆") marking strong and weak take profit points are also printed when the prices revert from the clouds towards the basis. Integrated alerts notify you of significant events like trend shifts and take profit signals, keeping you informed without constant monitoring.
Unleash the power of the Donchian Trend Ranges in your trading strategy! 🌐📈✨
Trend Change IndicatorThe Trend Change Indicator is an all-in-one, user-friendly trend-following tool designed to identify bullish and bearish trends in asset prices. It features adjustable input values and a built-in alert system that promptly notifies investors of potential shifts in both short-term and long-term price trends. This alert system is crucial for helping less active investors correctly position themselves ahead of major trend shifts and assists in risk management after a trend is established. It's important to note that this indicator is most effective with assets that historically exhibit strong trends.
At the heart of this tool is the interaction between the 30-day and 60-day Exponential Moving Averages (EMA). A bullish trend is indicated in green when the 30-day EMA is above the 60-day EMA, while a bearish trend is signaled in red when the 30-day EMA is below the 60-day EMA. The appearance of gray alerts users to potential shifts in the current trend as the EMAs converge, falling below the Average True Range (ATR) safety margin. This analysis is conducted across both hourly and daily timeframes, with the 4-hour timeframe providing early signals for daily trend changes. The band visually represents the interaction between the daily EMAs and is also displayed in the second row of the table, with the first row showing the same EMA interaction on the 4-hour timeframe.
This indicator also includes a 140-day (20-week) Simple Moving Average (SMA), visually represented by a line with predictive dots. This feature significantly enhances the investor's ability to understand long-term trends in asset prices, offering forward-looking insights by projecting the SMA value 10 days into the future. The value of this forecast lies in interpreting the slope of the dots; upward trending dots suggest a bullish underlying trend, while downward trending dots indicate a bearish trend. Generally, prices above the SMA signal bullishness, and prices below indicate bearishness.
In summary, the Trend Change Indicator is a comprehensive solution for identifying price trends and managing risk. Its intuitive, color-coded design makes it an indispensable tool for traders and investors who aim to be well-positioned ahead of trend shifts and manage risk once a trend has been established. While it has proven historically valuable in trending markets such as cryptocurrencies, tech stocks, and commodities, it is advisable to use this indicator in conjunction with other technical analysis tools for a more comprehensive and well-rounded decision-making process.
Cloud Trendlines_Pro[vn]👉Hello Trader .
- This is the Kumo cloud trendline indicator (taken from the indicator) in my "trendline analysis" series.
- On the chart of this indicator, there is only 1 pair of trendlines that are closest to the clouds: 1 uptrend line and 1 downtrend line.
- Actually in the process of trading with the trendline of the price I see the price undulating and sometimes the trendline of the price has been broken but also not sure if the price is a real break or a fake break, from which I came up with the idea to include the Ichimoku indicator for analysis. The Ichimoku indicator gives a good "Long" signal when the price breaks above the Kumo cloud and an uptrend when the price is still above the cloud (mathematical formula for creating the cloud of the Kumo cloud). Ichimoku I won't repeat it again), from here I have studied the trend line of the Kumo cloud. Because when the cloud goes up, the price increases, when the cloud goes down, the price decreases, So when the clouds begin to flatten and If the cloud shows signs of crossing its trendline, it is a signal of trend reversal or continuation of the previous trend.
- So, when combining 2 trend lines: price trendline and cloud trendline, it allows me to filter false breakout price signals and give a stoploss very effectively, especially effective with 5m frames. ,15m to create a new trend.
- The best entry signal is when the 2 trendlines are parallel and tend to cluster and the "price candle" breaks the 2 trend lines of the price and the cloud at the same time (it is possible that the price reacts at this point a few candles). ).if in a small time frame we can enter the "Market" order, and on the H1 frame or higher, we can still enter the "Market" order or wait for the retest of these 2 trend lines to place an order.
- If only one of the above 2 trend lines is displayed, the trader can ignore it.
- This cloud trendline method is very effective when the price is in the sideway, the price is bumpy (can't draw the trendline of the price)...but look at the trendline of the cloud if the cloud breaks its trendline. then it is a signal for us to know that the price has come out of the sideway and we can enter an order in the direction of breaking the trendline of the cloud.
- Small timeframes such as 1m, 3m, 5m, 15m I leave the default (cannot be changed) in the setting item 'Length' = 50, the remaining time can be changed, the default is 50
- To adjust, you can go to the setting to set the time according to your needs.
- The color of the Clouds trendline should be the same color as the clouds.
Note:
👉Indicator "Cloud Trendlines_Pro " should be combined with indicator "Trendlines_Pro " to give the best signal
Below are the images taken from my transaction.
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Vietnamese
👉Xin chào Trader Việt nam.
- Đây là chỉ báo về đường xu hướng của mây Kumo(lấy từ chỉ báo ) trong chuỗi "phân tích với đường xu hướng" của tôi.
- Trên biểu đồ của chỉ báo này chỉ vẽ ra 1 cặp đường xu hướng đi sát nhất với mây là: 1 đường xu hướng tăng và 1 đường xu hướng giảm.
- Thực ra trong quá trình giao dịch với đường xu hướng của giá tôi thấy giá đi nhấp nhô và có khi đường xu hướng của giá đã bị phá vỡ nhưng cũng không chắc chắn là giá phá vỡ thật hay phá vỡ giả, từ đó tôi nảy ý tưởng đưa chỉ báo Ichimoku vào để phân tích.Chỉ báo Ichimoku cho tín hiệu "Long" tốt khi giá vượt lên đám mây Kumo và xu hướng tăng khi giá vẫn ở trên mây(công thức toán học để tạo lên đám mây của Ichimoku tôi xin không nhắc lại nữa), từ đây tôi đã nghiên cứu ra đường xu hướng của mây Kumo.Vì khi mây hướng lên thì cho giá tăng, mây hướng xuống thì cho giá giảm,Vậy khi mây bắt đầu đang bằng phẳng và mây có dấu hiệu cắt đường xu hướng của nó thì đó là điểm báo đảo chiều xu hướng hay tiếp diễn xu hướng trước đó.
- Như vậy khi kết hợp 2 đường xu hướng là :đường xu hướng của giá và đường xu hướng của mây cho tôi lọc được tín hiệu giá phá vỡ giả và cho điểm stoploss cũng cực hiệu quả, đặt biệt hiệu quả với các khung 5m,15m để tạo lên xu hướng mới.
- Tín hiệu vào lệnh đẹp nhất khi 2 đường xu hướng song song và có xu hướng chụm lại và "cây nến giá" phá vỡ đồng thời 2 đường xu hướng của giá và mây(có thể giá phản ứng tại điểm này vài cây nến).nếu ở khung thời gian nhỏ ta có thể vào lệnh "Thị trường", còn khung H1 trở lên ta có vẫn có thể vào lệnh "Thị trường" hoặc chờ retest lại 2 đường xu hướng này để đặt lệnh.
- Nếu chỉ hiển thị một trong 2 đường xu hướng trên thì trader có thể bỏ qua.
- Phương pháp đường xu hướng cloud này rất hiệu quả khi giá trong vùng sideway ,giá mấp mô(không kẻ được đường xu hướng của giá )...nhưng nhìn vào đường xu hướng của mây nếu mây phá vỡ đường xu hướng của nó thì đó là tín hiệu để ta biết là giá đã ra khỏi vùng sideway và ta có thể vào lệnh theo hướng phá vỡ đường xu hướng của mây.
- Các timeframe nhỏ như 1m, 3m, 5m ,15m tôi để mặc định (không thay đổi được) trong setting mục 'Length' = 50, các thời gian còn lại có thể thay đổi được ,mặc định là 0
- Để điều chỉnh có thể vào setting để thiết lập các thời gian theo nhu cầu.
- Màu của đường xu hướng Mây tôi để cùng màu với mây.
Note:
👉chỉ báo "Cloud Trendlines_Pro " nên kết hợp với chỉ báo "Trendlines_Pro " để cho tín hiệu tốt nhất
Trend & Pullback Toolkit (Expo)█ Overview
The Trend & Pullback Trading Toolkit is an all-encompassing suite of tools designed for serious traders who want a comprehensive trend approach. It empowers traders to align their strategies with prevailing market trends, thereby mitigating risk while maximizing profit potential.
The Toolkit helps traders spot, analyze, and react to market trends, pullbacks, and significant trends. It combines multiple trading methodologies, such as the Elliott Wave theory, cyclical analysis, retracement analysis, strength analysis, volatility analysis, and pivot analysis, to provide a thorough understanding of the market. All these tools can help traders detect trends, pullbacks, and major shifts in the overall trend. By integrating different methodologies, this toolkit offers a multifaceted approach to analyzing market trends.
In essence, the Trend & Pullback Toolkit is the complete package for traders seeking to detect, evaluate, and act upon market trends and pullbacks while being prepared for major trend shifts.
The Trend & Pullback Toolkit works in any market and timeframe for discretionary analysis and includes many oscillators and features, but first, let us define what a cycle is:
█ What is a cycle
This involves the analysis of recurring patterns or events in the market that repeat over a specific period. Cycles can exist in various time frames and can be identified and analyzed with various tools, including some types of oscillators or time-based analysis methods.
Traders must also be aware that cycles do not always repeat perfectly and can often shift, evolve, or disappear entirely.
█ Features & How They Work
Elliott Wave Cycles: This is a method of technical analysis that traders use to analyze financial market cycles and forecast market trends. Elliott Wave theory asserts that markets move in repetitive cycles, which traders can analyze to predict future price movement. The core principle behind the theory is that market prices alternate between an impulsive, or driving phase, and a corrective phase on all time scales of trend. This pattern forms a fractal, meaning it's a self-similar pattern that repeats regardless of the degree or size of the waves.
The Elliott Wave Cycle Feature uses the principle of the Elliott Wave to identify trends and pullbacks in real-time.
Ratio Wave Cycle: This method elaborates on the concept of how negative volatility, or the degree of variation in the negative returns of a financial instrument, influences the effectiveness of a relative price move. Essentially, it delves into the relationship between the negative fluctuations in the market and the resulting relative price change, exploring how the two aspects interact with each other.
The central concept is that trends are generally more stable and predictable than rapid retracements. Therefore, the indicator calculates the relationship between these two market movements. By doing so, it establishes a trend-based identification system. This system aids in forecasting future market movements, allowing traders to make informed decisions based on these predictions. Essentially, it uses the calculated relationship to discern the overall direction (trend) of the market despite temporary counter-movements (retracements), thereby providing a more robust trading signal.
Periodic Wave Cycle: Thi refers to patterns or events in price action that recur over a specific time period. Periodic cycles can range from short-term intraday cycles (like the tendency for stock market volatility to be high at the opening and close of trading) to long-term cycles trend cycles. Traders use this to predict future price movements and trends.
By identifying the phases of a cycle, traders can predict key turning points in the market.
Retracement Cycles: Retracements are temporary price reversals that occur within a larger trend. These retracements are a common occurrence in all markets and timeframes, representing a pause or counter-move within a larger prevailing trend. Retracements can be driven by a variety of factors, including profit-taking, market uncertainty, or a change in market fundamentals. Despite these periodic reversals, the overall trend (upwards or downwards) often continues after the retracement is complete.
Fibonacci retracement functions are primarily used to identify potential retracement levels.
Volatility Cycle: A volatility cycle refers to the periodic changes in the degree of dispersion or variability of a security's returns, expressed as a standard deviation or variance. This feature uses both measures.
Strength Cycle: Gauges the power of a market trend and its inherent impulses. This feature offers a broad perspective on the cyclical nature of markets, which alternate between periods of strength, often referred to as bull markets, and periods of weakness, known as bear markets. It effectively tracks the direction, intensity, and cyclic patterns of market behavior.
Let us define the difference between strength and impulse:
Strength: This refers to the power or force behind a price move. In trading, this refers to the momentum or volume supporting a price move.
Impulse: In the context of trading, an impulse usually refers to a strong move in price. Impulse moves are typically followed by corrective moves against the trend.
Pivot Cycles: Pivot cycles refer to the observation of recurring price patterns or turning points in the market. Pivots can be defined as significant highs or lows that act as potential reversal or support/resistance points. Pivot point analysis helps traders understand the prevailing market sentiment. Overall, pivot cycles provide traders with a framework to identify potential market turning points and price levels of interest.
█ How to use the Trend & Pullback Toolkit
Elliott Wave Cycles
Ratio Wave Cycle
Periodic Wave Cycle
Retracement Cycles
Volatility Cycle:
Strength Cycle
Pivot Cycles
█ Why is this Trend & Pullback Toolkit Needed?
The core philosophy of this toolkit revolves around the popular adage in trading circles: "The trend is your friend." This toolkit ensures that you are always in sync with the trend, thereby increasing the chances of successful trades.
Here's an overview of the key benefits:
Trend Identification: The toolkit includes sophisticated algorithms and indicators that help identify the prevailing trend in the market. These algorithms analyze price patterns, momentum, volume, and other factors to determine the direction and strength of the trend.
Risk Reduction: By enabling traders to trade with the trend, this toolkit reduces the risk of betting against market momentum.
Profit Maximization: Trading with the trend increases the likelihood of successful trades.
Advanced Analysis Tools: The toolkit includes tools that provide a deeper insight into market dynamics. These tools enable a multi-dimensional analysis of market trends, from Elliott Wave cycles and period cycles to retracement cycles, ratio wave cycles, pivot cycles, and strength cycles.
User-friendly Interface: Despite its sophistication, the toolkit is designed with user-friendliness in mind. It allows for customization and presents data in easy-to-understand formats.
Versatility: The toolkit is versatile and can be used across different markets - stocks, forex, commodities, and cryptocurrencies. This makes it a valuable resource for all types of traders.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ In conclusion, The Trading Toolkit is a powerful ally for any trader, offering the capabilities to navigate the complexities of the market with ease. Whether you're a novice or an experienced trader, this toolkit provides a structured and systematic approach to trading.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
付费脚本
{20}Dashboard Trendlines & Wedge_Pro[vn]This is a script about 20 trading pairs with trendline.
-on each chart of a trading pair, there is only one trendline pair: 1 uptrendline and 1 downtrendline
-so when the statistics on the table also show the column of the uptrend and the column of the downtrend
-When the price approaches any trendline but the ratio is 1%, that trendline will be colored blue (downtrend), red (uptrend)
The column ✎ T.line-trendline above(✐ T.line-trendline below) is the value of the current trendline compared to the closing price of the candle
The ══════\n\𝖗𝖊𝖘𝖎𝖘𝖙𝖆𝖓(𝖘𝖚𝖕𝖕𝖔𝖗𝖙\n\══════) column when the price breaks will show ➊ (the is the first candle) and the percentage value when breaking through the point of the trendline.
Especially when a candle has closed above the trendline (assuming an uptrend), then from the 2nd tree to the current , it will count according to memory so that traders know when the price broke, and how many candles already.
The parameter when breaking is displayed < 10, it means that the price has broken through 10 candles, and the first 10 candles are colored yellow, then the color returns to normal.
In addition, when displaying 3 parameters as above, the next column (above/below T.line) will display the percentage from when the price breaks that point to the current price of the candle.
Wedge column is when the price is stuck between the upper and lower trendlines, if the sharp angle ratio is <=10%, the new column will show the value (and the text color is white) until it breaks to the bottom. 1 direction is left is hidden
Price column is the current price of the candle and the parameter 20:2 is the length of the trendline and to combine the same parameter with the indicator "Trendlines_pro "
You can change the time in Resolution indicator settings to show multiple time display the same cell as the price cell
The up arrow icons 🡹 represent the price broke upwards , the down arrows 🡻 represent the price broke below
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Vietnamese
Đây là script về bảng thống kê 20 cặp giao dịch với đường trendline .
-trên mỗi biểu đồ của cặp giao dịch chỉ tồn tại duy nhất 1 cặp trendline là: 1trendline tăng và 1 trendline giảm
-vì vậy khi thống kê trên bảng cũng hiển thị cột của trend tăng và cột của trend giảm
-khi giá tiến gần đến 1 đường trendline bất kì mà tỉ lệ còn 1% thì đường trendline đó tô màu xanh(trend giảm) ,màu đỏ(trend tăng)
-cột ✎ T.line-đường trendline bên trên(✐ T.line-đường trendline bên dưới) là giá trị của đường trendline hiện tại so với giá đóng cửa của nến
-cột ══════\n\𝖗𝖊𝖘𝖎𝖘𝖙𝖆𝖓(𝖘𝖚𝖕𝖕𝖔𝖗𝖙\n\══════) khi giá phá vỡ sẽ thể thiện ➊(tức là cây nến đầu tiên) và giá trị phần trăm khi phá qua điểm của trendline.
-đặc biệt khi 1 cây nến đã đóng cửa trên đường trendline(giả sử trend tăng) thì từ cây thứ 2 đến hiện tại nó sẽ đếm theo bộ nhớ để các trader biết được giá đã phá khi nào,và qua bao nhiêu nến rồi.
-thông số khi phá vỡ hiển thị < 10 thì hiểu là giá đã phá vỡ qua 10 nến, và 10 nến đầu tiên được tô màu vàng ,sau đó màu trở lại trạng thái bình thường
-ngoài ra khi hiện thông số như trên thì cột bên cạnh (above/below T.line) sẽ hiển thị được số phần trăm tính từ khi giá phá vỡ điểm đó đến giá hiện tại của cây nến.
-cột Wedge(cái nêm) là khi giá đang bị kẹt giữa 2 đường trendline trên và dưới ,nếu tỷ lệ góc nhọn <=10% thì cột đó mới hiện giá trị (và màu chữ là trắng) cho đến khi phá vỡ về 1 hướng nào đó còn lại là bị ẩn
-cột giá là giá hiện tại của nến và thông số 20:2 là độ dài đường trendline và để kết hợp cùng thông số với chỉ báo "Trendlines_pro "
-các bạn có thể thay đổi thời gian trong cài đặt chỉ báo Resolution để hiển thị nhiều cung thời gian hiển thị cùng ô với ô giá
-các biểu tượng mũi tên lên 🡹 thể hiện giá phá vỡ lên trên ,mũi tên xuống 🡻 thể hiện giá đã phá vỡ xuống dưới
Cảm ơn mọi người đã quan tâm và tin dùng
Trend Oscillatorwhat is "Trend Oscillator"?
it is an indicator for determining the trend.
what it does?
analyzes the price action by reducing it to 4 different situations. Red means strong bear, orange means bearish, yellow means weak bull and green means strong bull. It was developed to help traders who trade in the direction of the trend and its biggest promise is to simplify price action.
how it does it?
He defines 4 different situations as follows. If the velocity of the price is positive and the acceleration is positive, it is a strong bull, if the velocity is positive and the acceleration is negative, it is a weak bull, if the velocity is negative and the acceleration is positive, it is a weak bear, if both velocity and acceleration are negative, it is a strong bear.
2 for strong bull
1 for the weak bull
-1 for weak bear
Creates a function that takes values of -2 for the strong bear. this function is the velocity of the principal indicator, and then the integral of this function forms the principal indicator.
how to use it?
"source" is used to change the source of the indicator,
"length" makes the indicator give a later but less signal.
you can use it to follow or analyze the trend. colors make it easy to use. learns about current or past trends by looking at colors. Like any trend indicator, it can give unsuccessful signals in a horizontal trend.
Trend Tracer [Cloud] (Expo)█ Overview
The Trend Tracer (Expo) indicator identifies and predicts the future market direction. The cloud is designed to make it easier to see when a market is trending in one direction or another and to help traders identify potential entry and exit points, as well as trend changes. It is a visual representation of the price's momentum, price action, and volatility by using the trend range in a cloud-like pattern. The bigger the cloud, the more momentum the price has.
█ How is the trend tracer cloud calculated?
The primary function used in the code is an extension of traditional single-smoothed moving averages, using a more sophisticated weighting system to reduce the effect of short-term fluctuations and provide a clearer view of the underlying trend. Using this function, we get a unique leading trend tracer while maintaining a robust long-term trend tracer. This allows for more accurate trending signals and helps reduce the amount of noise in the data.
█ Trend Cloud Trading
Trend Cloud Trading is a type of trading based on technical analysis that uses a tool called a trend cloud. A trend cloud is a graphical representation of how a certain asset or instrument is trending over a specific period of time. The trend cloud will highlight areas where there is high volatility, low volatility, and the current trend direction and its strength.
█ How to use
One way of using the indicator is to look for a "cloud break," which is when the cloud turns from red to green (or vice versa) and indicates a change in the trend.
S/R Levels
The Trend Tracer Cloud can be used to find support in a bullish trend and resistance in a bearish trend. If the cloud is sloping downwards in a bearish trend, traders can look for potential resistance levels at the highs of the cloud. Similarly, if the cloud is sloping upwards in a bullish trend, traders can look for potential support levels at the lows of the cloud.
Volatility
The width of the cloud is used to determine if there is high or low volatility.
Strength
The deviation between the leading trend advisor line and the price determines whether a trend is strong or weak. The larger the deviation, the stronger the trend move.
█ Indicator Features
Trend Cloud
It highlights the trending range, current volatility, and trend direction.
Trend Advisor - leading and trending + cloud
The leading trend advisor highlights the short-term trend strength and momentum, while the trending trend advisor highlights the underlying long-term trend.
Trend Tracker
The Trend Tracker is a fast-moving trend-following line that combines long-term and short-term trend characteristics.
Trend Candlesticks
The Bar coloring uses momentum to highlight the current trend direction.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Multiple Trend Overview
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Hey there!
The indicator is used for both an overall and a short trend assessment. Both superordinate structures and subordinate movements are mapped. With the help of calculations via Ema , MACD and other tools, graphic trends can be visualized.
The green areas always signal an uptrend, while the red areas indicate a downtrend. The red & blue ema enclose the area of the minor trend. Orange & Green signal the overall trend. Ideally, both Ema faces run in the same direction as the multi-color line. Special alerts in the charts show this again directly in the chart. The multiple setting to display the trends from different time frames is innovative!
For all asset classes!
The indicator is designed for the m30 chart. But it can also be used well on other time frames. In addition, the display can be adjusted via the options and set to any time frame. The indicator has various settings and options that can be activated or deactivated separately.
Caution: Past results do not guarantee future profits!
Follow the link below to get access to this indicator or get us a PM to get access.
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Willkommen!
Der Indikator dient sowohl für eine übergeordnete als auch eine untergeordnete Trendeinschätzung. Hierbei werden sowohl übergeordnete Strukturen als auch untergeordnete Bewegungen abgebildet. Mit Hilfe von Berechnungen über Ema , MACD und weiteren Hilfsmittel lassen sich grafische Trends visualisieren.
Die grünen Flächen signalisieren immer einen Aufwärtstrend, während die roten Flächen einen Abwärtstrend anzeigen. Der rote & der blaue Ema schließen die Fläche des untergeordneten Trends ein. Orange & Grün signalisieren den übergeordneten Trend. Idealerweise laufen beide Ema Flächen in die gleiche Richtung wie die Multi-Farben Linie. Spezielle Alerts im Charts zeigen dies auch nochmal direkt im Chart. Innovativ ist die multiple Einstellung die Trends aus verschiedenen Timeframes abzubilden!
Für alle Asset Klassen!
Der Indikator ist für den m30 Chart ausgelegt. Lässt sich aber auch auf anderen Timeframes gut nutzen. Zusätzlich kann die Anzeige über die Optionen angepasst werden und auf jede Timeframe eingestellt werden. Der Indikator besitzt verschiedene Einstellungsmöglichkeiten und Zusätze die separat aktiviert oder deaktiviert werden können.
Achtung: Vergangene Ergebnisse garantieren keine zukünftigen Gewinne!
Verwenden Sie den folgenden Link, um Zugriff auf diesen Indikator zu erhalten oder schreibe uns eine PM um Zugriff zu erhalten.
Trending Bollinger Bands by SiddWolfBollinger Bands are mostly used for trend reversal. I believe they should be used for Trend Continuation and Trend Confirmation.
In this Trending Bollinger Bands script you will see two bands drawn on chart. The Upper band is suggestive of Uptrend and Lower Band is suggestive of Downtrend Market. It just provides the guidance of where the market is now and where it is headed. It is not to be used as a standalone indicator. Use this to confirm your hypothesis of Uptrend or Downtrend.
Bollinger Bands Trend
When the price crosses the moving average it is interpreted as the price is gonna continue in that direction. But most of the time it is a fake breakout. With this script you get an additional confirmation so that you know it is not a fake breakout and the price have caught the trend.
Bollinger Bands Reversal:
This indicator can also work for reversal. For example when price closes outside the outer bands, it is most likely that the trend is gonna reverse. Don't just enter the trade wait for some other confirmation as reversal trading is more complicated.
Confluence:
Confluence is the key factor for profitable trading. Don't use this indicator as standalone indicator instead combine it with other indicators and price action. Like the divergence occurring when the price is outside the bands is suggestive of trend reversal. I have created a non-delay, non-repaint indicator for finding divergence. I'd soon publish that script. Stay tuned.
Settings is the Key:
Try to play around with the settings. It is a simple yet effective indicator. Change the moving average type or length. I've found moving average RMA or WMA works better than SMA. Find the best setting that works with your setup. Set the Band Source as High/Low to make the outer bands more extreme.
Conclusion:
This is my first script but it isn't my last. I've created quite a few gems that I'm gonna publish soon. If you have any questions or suggestions feel free to comment below. I'd love to connect with you. Thank you.
Trend & Contrarian (Expo)Trend & Contrarian (Expo) is a powerful trend tool with adaptive contrarian- signals. A strong trend is displayed by the background color and the unique Trend dots/line can be used to confirm a strong trend or to identify early trend reversals. The contrarian-signals are adapting dynamically to price moves and should be used as 'preparation' or 'warning' prior to trigger, should be confirmed by a trend reversals signal or by other indicators.
The contrarian signals should only be used if the user fully understands how they work, please test the feature before entering a trade based on it. However, these signals can be very valuable if used correctly.
Green background color ➞ Strong Positive Trend
Red background color ➞ Strong Negative Trend
No background color? ➞ No strong trend. The Trend Dots/line determine the trend
HOW TO USE
Identify strong trends
Identify trend reversals
Identify contrarian signals
INDICATOR IN ACTION
4-hour chart
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continually work on this indicator, so please share your experience and feedback as it will enable me to make even better improvements. Thanks to everyone that has already contacted me regarding my scripts. Your feedback is valuable for future developments!
-----------------
Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My scripts/indicators/strategies/ideas are only for educational purposes!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
Higher Timeframe Trend Indicator V3.0What is it?
An indicator that depicts the trend of up to 5 higher timeframes on the same chart without needing to context-switch between charts.
Features
- Supports up to 5 timeframes
- Trends indicated by 5 colored buttons: one for each timeframe
- Varying shades of green: uptrend
- Varying shades of red: downtrend
- White/silver: sideways/neutral
- Configurable length (time period) for each timeframe
- Increase length to capture long term trends; decrease it to capture only short term ones
- Configurable sensitivity for each timeframe
- Sensitivity determines what angle is considered trending and what is not
- Increase sensitivity to capture weak trends
- Decrease sensitivity to filter out weak trends and capture only strong/steep ones
- Sensitivity ranges from 1 (least sensitive) to 3 (most sensitive)
- Move the labels around vertically for better visibility by changing the "Location" and "Offset" parameters
How should one use it?
Use it to quickly browse through charts to understand the context across timeframes, and zero in on only those that have trends aligning on the higher and lower timeframes as per your strategy. For e.g., a chart that is trending up strongly on the 15min and 60min (indicated by dark green colored buttons), and trending down on the 1 and/or 5 min (indicated by red-colored buttons), can be shortlisted for a potential pullback trade. Use your favorite pullback strategy (Supply/Demand, Support/Resistance, Moving Averages, etc.) to hop in on the trend.
How are trends determined?
The indicator uses normalized %change in price of the linear regression line segment of the chosen price sources (close, high, low, MA, etc.) over a specified length to determine trend direction and intensity
Known Issues
Will indicate the trend correctly only for timeframes *higher* than the current (visible) resolution/timeframe of the chart. Might not indicate it correctly for lower timeframes ( i.e., lower than the current (visible) resolution/timeframe of the chart). For this reason, all timeframes lower than the current resolution will be hidden in the present release.
Future releases
- I am still experimenting with various sensitivity levels and the corresponding trend shades to make the tool as accurate and intuitive as possible. These modifications might come in
- Sensitivity levels might be increased.
- Bug fixes, if any
Ultimate Trend Analyzer by HypesterTrading is not all about scalping/day trading. To have a healthy and diversified portfolio, you should always have some trending long term assets to mitigate risks and keep your wallet always on the green side.
That's why Hypester once again innovates with the Ultimate Trend Analyzer. With the UTA you can check the trend's health with one glance.
Do not fool yourself, the Ultimate Trend Analyzer offers different trading profiles, so it doesn't matter what kind of trading you are doing, from long positions to intraday scalping - UTA can quickly adapt with one click. UTA offers Swing/Longterm, Day Trading and Scalping profile.
It also has two correlation methods, volume, and price. So you can decide what you want to prioritize most.
Not only that, there are two smoothing methods, linear regression and symmetrical averaging so you can remove noises from your indicator line.
The UTA offers you insight about the trend's health, just by looking at the background color, the stronger the color, stronger the trend. So higher up it is, stronger the uptrend is. The lower it is, stronger the downtrend.
Nevertheless, the UTA also gives you insight within trend corrections and peaks and bottoms with the indicator line color. So if you have a bullish trend and you see an orange line color, it means that direction is changing and you will observe a line color change, which means the course is now bearish even though the overall trend is going up. This feature is great for swing/scalp trading looking at the big picture.
Trendy ADX DI+ DI- Trend Strength - BonavestTo add this indicator to your charts:
Click the 'Add to Favorite Scripts' button down below this description.
Trendy ADX is a lower indicator that is used to determine strength of trends. The DI+ and DI- lines cross one another depending on the trend direction based on the Length input with the current trend, DI line, being on top or higher.
The ADX line shows the strength of the current trend, with a value over 20 being a trend with growing strength. Trends with ADX less than 20 are said to not be strong enough to be traded as well as if the ADX is less than both the DI+ and DI- even though it is higher than 20.
An added number value that is not a part of the typical ADX/DI indicator is the 'Score'. This is a value that ranges from -3 to +3 including 0. This score allows you to set alerts based on Score and be alerted when a certain level is reached. The Score values are fully configureable in the Input Settings screen.
The Length setting is the only important adjustment for the indicator itself. The 3 suggested values to use are 7, 11 and 20 (default 11).
The Threshold setting is purely for visual adjustment of the yellow dashed line (default 20).
I use this indicator for:
Keeps me in a trade longer to capture long trends
Determining if the current trend has more room to continue
Filter out reversal buy/sell signals if trend is just beginning
My observations in using this indicator is to ignore reversal signals if the ADX line has not crossed above the DI+ or DI- line of the current trend (red/green background). I also expect a small pullback or sideways price action when the ADX line does cross the current trending DI line.
There are 2 Built-In Notifications already created for you and are available by simply right clicking in the indicator area and selecting:
Condition: Trendy ADX
Then 1 of the 2 Alerts:
Trend Direction Change - Score crosses 0 changing to 1 (green/UP) or -1 (red/DOWN)
Trend Strength Change - Score changes in any direction by a value of 1
How to Trade the Average Directinal Index Video: youtu.be
This adaptation was based off of the original code from @MasaNakamura.
Trend Pulse Algo (LTM)Trend Pulse Algo LTM Indicator Description
Overview
Trend Pulse Algo LTM is an advanced multi layer technical indicator designed for TradingView that combines moving average MA crossovers confirmation signals pivot based structure analysis imbalance zone detection and overextension warnings to identify potential trend shifts continuations and reversal points. It aims to provide traders with reliable entry and exit signals in trending markets while highlighting areas of market inefficiency imbalances and overextended price moves that could signal exhaustion.
This indicator operates on a pulse concept where it detects rhythmic shifts in market momentum through layered MAs a quick MA for short term sensitivity a mid MA for intermediate confirmation and a long MA as a baseline trend filter. Signals are generated based on alignments and crosses between these MAs but with added layers of confirmation to reduce false positives such as requiring consecutive bars above below the long MA and breaks of prior pivot highs lows. It incorporates higher timeframe HTF analysis for imbalance zones to capture broader market context making it suitable for swing trading trend following or scalping on lower timeframes when combined with the overextension detector.
Unlike simple MA crossover systems for example standard dual EMA strategies this algo uses adaptive MA types based on timeframe pivot deviation for structural breaks and a tally based confirmation to filter noise. Imbalance zones identify fair value gaps or inefficiencies between candle bodies and wicks where price may retrace to fill. Overextension is calculated relative to the mid MA using a rolling mean absolute deviation MAD ratio highlighting potential tops bottoms in strong trends. The result is a visually clean or detailed based on mode overlay that colors bars backgrounds plots labels for signals and pivots and draws zones to guide decision making.
How It Works
MA Layers and Signal Generation
Three MAs quick mid long are computed using either SMA or EMA selected dynamically based on the charts timeframe for optimal responsiveness for example EMA on lower TFs for faster signals.
Early Signals A crossover of the quick MA above the mid MA while above the long MA triggers a Possible Bull label indicating early momentum shifts. A crossunder below triggers Possible Bear.
Confirmed Signals Bullish confirmation requires a set number of bars closing above the long MA plus alignment quick greater than mid and a break above the prior pivot high. Bearish requires bars below the long MA and a break below the prior pivot low. This uses a counter mechanism to ensure persistence reducing whipsaws. Breaks are detected via crossovers under of close versus prior highs lows.
State persistence tracks the current regime bull bear warn early coloring the chart accordingly until a new signal overrides it.
Pivot Detection and Structure
Pivots are identified by scanning for highs lows separated by a minimum bar depth with a percentage deviation threshold to confirm validity. This follows a zigzag like approach but with deviation filtering for robustness.
Labels like HH Higher High HL Higher Low LH Lower High LL Lower Low highlight market structure helping identify trends for example HH HL for uptrends or breakdowns. These are used internally to validate signal breaks.
Imbalance Zones
Zones detect imbalances or gaps between candle bodies and prior highs lows where unfilled inefficiencies attract price.
For bullish zones If open greater than close and high minus low two less than zero a zone is drawn from calculated top bottom limits. Bearish similarly for close greater than open.
Supports current TF HTF or both. Zones extend rightward until filled price touches the opposite side or mid line if enabled then either delete or shorten based on settings. Mid lines can act as fill triggers for partial closures.
HTF data is fetched via security for broader context resetting on new HTF bars.
Overextension Indicator
Measures price deviation from the mid MA relative to a rolling average RMA of relative deviations over a length.
Multipliers define tiers mild for example two times avg deviation moderate three times extreme four times. Circles plot above below bars in bull bear states when thresholds are exceeded signaling potential reversals for example red for extreme tops in uptrends. This is akin to a Bollinger Band squeeze expansion but normalized to MA distance for trend specific warnings.
Chart Coloring and Visuals
Background or candle coloring reflects the state green for bull red for bear orange for warn blue for early.
Modes control clutter Clean hides MAs zones pivots Balanced shows essentials Detailed includes all.
How to Use It
Setup Add to your chart via TradingViews indicator search. Adjust inputs based on asset timeframe for example shorter MA periods for volatile cryptos longer for stocks.
Trading Strategy Ideas
Trend Following Enter long on Confirmed Bull labels exit on Confirmed Bear or extreme overextension circles. Use imbalance zones as support resistance for stops targets for example buy dips to unfilled bullish zones.
Reversal Scalping Watch for Possible Bull Bear near pivot labels for example HL LL and overextension in the opposite direction. Confirm with zone fills.
Multi TF Analysis Set HTF to D for daily context on hourly charts zones from HTF often act as magnets.
Risk Management Place stops below prior lows in bulls or above highs in bears. Target zone edges or MA crosses. Avoid trading against strong states without confirmation.
Alerts Set up via TradingView for Early Up Down or Up Down Confirm to notify on signal edges.
Limitations Best in trending markets may lag in ranges. Test on historical data no indicator is foolproof combine with volume price action.
Detailed Input Settings
Below is a comprehensive breakdown of all user adjustable inputs from the settings panel grouped as in the script. Each explains what it controls its effect on the indicators logic and usage tips. Defaults are provided for reference.
Chart Mode
Chart Mode default Detailed Mode options Clean Mode Balanced Mode Detailed Mode
Controls visual detail level. Clean Mode hides MAs imbalance zones and pivots for a minimal overlay focused on signals and coloring. Balanced Mode shows MAs and signals but omits zones pivots. Detailed Mode displays everything for in depth analysis. Use Clean for live trading to reduce clutter Detailed for backtesting structure review.
Display Settings
Color Style default Candles options Background Candles
Determines how states bull bear warn early are visualized. Background colors the chart area for example green shading for bull. Candles colors bar bodies wicks directly. Background is subtler for multi indicator setups Candles emphasizes signals on naked charts.
Imbalance Zone HTF Config
Higher TF Period default D
Sets the higher timeframe for imbalance detection for example D for daily four H for four hour. This fetches broader data to identify significant zones. Use a TF four to five times your current for context for example daily on one H charts avoid very high TFs like W on intraday for relevance.
TF Mode default Current TF options Current TF Current plus HTF HTF Only
Defines timeframe handling for zones. Current TF uses only your charts TF. Current plus HTF combines both for layered zones. HTF Only ignores current TF. Current plus HTF is ideal for multi TF confluence HTF Only simplifies for swing traders.
Shift default ten min zero max five hundred
Horizontal offset in bars for current TF zone labels. Higher values shift labels rightward to avoid overlap. Adjust if labels crowd the chart.
HTF Shift default twenty min zero max five hundred
Similar to Shift but for HTF zone labels. Use larger offsets for HTF to distinguish them visually.
Imbalance Zone Core Options
Mid Line Fill default false
Enables a midpoint line in each zone zones fill close short when price touches this mid line instead of the far edge. Activates partial fill logic for more conservative zone closure. Enable for tighter risk in volatile markets.
Remove Filled Zones default true
If true completely deletes filled zones if false shortens them to the fill point keeping history. True clears clutter false retains context for review.
Display TF on Zone default false
Shows the timeframe for example D IZ on zone labels. Useful for distinguishing current versus HTF zones in combined mode.
Max Upward Zones default twenty min one max fifty
Limits displayed bullish upward zones removes oldest when exceeded. Lower for cleaner charts higher for historical depth.
Max Downward Zones default twenty min one max fifty
Same as above but for bearish downward zones.
Imbalance Zone Visuals
Upward Zone color green at ninety percent transparency
Color for current TF upward imbalance zones. Adjust opacity for visibility.
HTF Upward Zone color lime at eighty percent transparency
Color for higher timeframe upward imbalance zones. Differentiate from current for example lighter shade.
Downward Zone color red at ninety percent transparency
Color for current TF downward imbalance zones.
HTF Downward Zone color maroon at eighty percent transparency
Color for higher timeframe downward imbalance zones.
Mid Line Color color white at eighty five percent transparency
Color for the optional midpoint line in zones.
Text Color color white
Color for text labels on zones.
MA Layers
Quick MA Period default ten min one
Length for the fastest moving average sensitive to short term price. Shorter for example five for scalping longer for example fifteen for less noise.
Mid MA Period default twenty min one
Intermediate MA length used for crossovers and overextension base. Typically two times quick for balance.
Long MA Period default fifty min one
Baseline trend filter length. Longer for example one hundred for major trends shorter for active trading.
MA Variants by Period
Under one H default EMA options SMA EMA
MA type for timeframes under one hour for example EMA for faster response.
One H to less than five H default EMA options SMA EMA
MA type for one to five hour timeframes.
Five H to less than one D default EMA options SMA EMA
MA type for five hour to one day timeframes.
One D plus default EMA options SMA EMA
MA type for daily and higher timeframes. Adapt to market EMA for trends SMA for mean reversion.
Signal Confirmation
Bull Confirm Bars default one min zero
Consecutive bars needed above long MA for bull confirmation. Zero for instant higher for example three filters noise but delays entries.
Bear Confirm Bars default two min zero
Same for bear below long MA. Asymmetrical default higher for bears assumes uptrend bias.
Pivot Detection
Pivot Depth default six min one
Min bars between pivots. Higher reduces minor swings lower captures more structure.
Pivot Deviation percent default one point zero min zero point one
Percent change required for new pivot. Higher ignores small moves for example two percent for stocks zero point five percent for forex.
Display HH and HL default true
Shows labels for Higher Highs Lows bullish structure.
Display LH and LL default true
Shows labels for Lower Highs Lows bearish structure.
Overextension Indicator
Show Overextension Circles Potential Tops default true
Enables circles above bars in bull states for potential tops.
Show Overextension Circles Potential Bottoms default true
Enables below bars in bear states for bottoms.
Overextension Length default fourteen min one
Period for rolling relative deviation average. Matches RSI STOCH defaults for alignment.
Mild Multiplier default two point zero min zero point zero
Threshold for mild overextension yellow circle. Zero disables tier.
Moderate Multiplier default three point zero min zero point zero
For moderate orange.
Extreme Multiplier default four point zero min zero point zero
For extreme red. Tune lower for sensitive warnings in ranging markets.
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
Trend Following Bundle [ActiveQuants]The Trend Following Bundle indicator is a comprehensive toolkit designed to equip traders with a suite of essential technical analysis tools focused on identifying , confirming , and capitalizing on market trends . By bundling popular indicators like Moving Averages , MACD , Supertrend , ADX , ATR , OBV , and the Choppiness Index into a single script, it streamlines chart analysis and enhances strategy development.
This bundle operates on the principle that combining signals from multiple, complementary indicators provides a more robust view of market trends than relying on a single tool. It integrates:
Trend Direction: Moving Averages, Supertrend.
Momentum: MACD.
Trend Strength: ADX.
Volume Pressure: On Balance Volume (OBV).
Volatility: Average True Range (ATR).
Market Condition Filter: Choppiness Index (Trend vs. Range).
By allowing users to selectively enable, customize, and view these indicators (potentially across different timeframes), the bundle facilitates nuanced and layered trend analysis.
█ KEY FEATURES
All-in-One Convenience: Access multiple core trend-following indicators within a single TradingView script slot.
Modular Design: Easily toggle each individual indicator (MAs, MACD, Supertrend, etc.) On or Off via the settings menu to customize your chart view.
Extensive Customization: Fine-tune parameters (lengths, sources, MA types, colors, etc.) for every included indicator to match your trading style and the specific asset.
Multi-Timeframe (MTF) Capability: Configure each indicator component to analyze data from a different timeframe than the chart's, allowing for higher-level trend context.
Integrated Alerts: Pre-built alert conditions for key events like Moving Average crossovers , MACD signals , Supertrend flips , and Choppiness Index threshold crosses . Easily set up alerts through TradingView's alert system.
When configuring your alerts in TradingView, pay close attention to the trigger option:
- Setting it to " Only Once " will trigger the alert the first time the condition is met, which might happen during an unclosed bar (intra-bar). This alert instance will then cease.
- Setting it to " Once Per Bar Close " will trigger the alert only after a bar closes if the condition was met on that finalized bar. This ensures signals are based on confirmed data and allows the alert to potentially trigger again on subsequent closing bars if the condition persists or reoccurs. Use this option for signals based on confirmed, closed-bar data.
MA Smoothing & Bands (Optional): Apply secondary smoothing or Bollinger Bands directly to the Fast and Slow Moving Averages for advanced analysis.
█ USER INPUTS
Fast MA:
On/Off: Enables/Disables the Fast Moving Average plot and related smoothing/bands.
Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA.
Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close.
Length: Lookback period for the primary MA calculation. Default: 9.
Color: Sets the color of the primary Fast MA line. Default: Yellow.
Line Width: Sets the thickness of the primary Fast MA line. Default: 2.
Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None.
Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10.
BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0.
Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true.
Slow MA:
On/Off: Enables/Disables the Slow Moving Average plot and related smoothing/bands.
Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA.
Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close.
Length: Lookback period for the primary MA calculation. Default: 9.
Color: Sets the color of the primary Slow MA line. Default: Yellow.
Line Width: Sets the thickness of the primary Slow MA line. Default: 2.
Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None.
Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10.
BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0.
Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true.
MACD:
On/Off: Enables/Disables the MACD plots (MACD line, Signal line, Histogram).
Fast Length: Lookback period for the fast MA in MACD calculation. Default: 12.
Slow Length: Lookback period for the slow MA in MACD calculation. Default: 26.
Source: Input data for the MACD MAs. Default: close.
Signal Smoothing: Lookback period for the Signal Line MA. Default: 9.
Oscillator MA Type: Calculation type for Fast and Slow MAs (SMA, EMA). Default: EMA.
Signal Line MA Type: Calculation type for Signal Line MA (SMA, EMA). Default: EMA.
MACD Color: Color of the MACD line. Default: #2962FF.
MACD Signal Color: Color of the Signal line. Default: #FF6D00.
Timeframe: Sets a specific timeframe for the MACD calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
On Balance Volume (OBV):
On/Off: Enables/Disables the OBV plot and its related MAs/Bands.
Type (MA Smoothing): Selects MA type for smoothing OBV (None, SMA, EMA, etc.) or SMA + Bollinger Bands. Default: None.
Length (MA Smoothing): Lookback period for the OBV smoothing MA. Default: 14.
BB StdDev: Standard deviation multiplier for Bollinger Bands if selected. Default: 2.0.
Color: Color of the main OBV line. Default: #2962FF.
Timeframe: Sets a specific timeframe for the OBV calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
ADX:
On/Off: Enables/Disables the ADX plot.
ADX Smoothing: Lookback period for the ADX smoothing component. Default: 14.
DI Length: Lookback period for the Directional Movement (+DI/-DI) calculation. Default: 14.
Color: Color of the ADX line. Default: Red.
Timeframe: Sets a specific timeframe for the ADX calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
ATR:
On/Off: Enables/Disables the ATR plot.
Length: Lookback period for the ATR calculation. Default: 14.
Smoothing: Selects the calculation type for ATR (SMMA (RMA), SMA, EMA, WMA). Default: SMMA (RMA).
Color: Color of the ATR line. Default: #B71C1C.
Timeframe: Sets a specific timeframe for the ATR calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
Supertrend:
On/Off: Enables/Disables the Supertrend plot and background fill.
ATR Length: Lookback period for the ATR calculation within Supertrend. Default: 10.
Factor: Multiplier for the ATR value used to calculate the Supertrend bands. Default: 3.0.
Up Trend Color: Color for the Supertrend line and background during an uptrend. Default: Green.
Down Trend Color: Color for the Supertrend line and background during a downtrend. Default: Red.
Timeframe: Sets a specific timeframe for the Supertrend calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
Choppiness Index:
On/Off: Enables/Disables the Choppiness Index plot and bands.
Length: Lookback period for the Choppiness Index calculation. Default: 14.
Offset: Shifts the plot left or right. Default: 0.
Color: Color of the Choppiness Index line. Default: #2962FF.
Timeframe: Sets a specific timeframe for the CI calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
█ STRATEGY EXAMPLES
The following strategy examples are provided for illustrative and educational purposes only to demonstrate how indicators within this bundle could be combined. They do not constitute financial advice or trading recommendations. Always conduct your own thorough research and backtesting before implementing any trading strategy.
Here are a few ways the indicators in this bundle can be combined:
1. MA Crossover with Multi-Factor Confirmation
Goal: Enter trends early with confirmation from momentum and trend strength, while filtering out choppy conditions.
Setup: Enable Fast MA (e.g., 9 EMA), Slow MA (e.g., 50 EMA), MACD, ADX, and Choppiness Index.
Entry (Long):
- Price > Slow MA (Establishes broader uptrend context).
- Fast MA crosses above Slow MA OR Price crosses above Fast MA.
- MACD Histogram > 0 (Confirms bullish momentum).
- ADX > 20 or 25 (Indicates sufficient trend strength).
- Choppiness Index < 61.8 (Filters out excessively choppy markets).
Entry (Short): Reverse logic (except for ADX and Choppiness Index).
Management: Consider using the Supertrend or an ATR multiple for stop-loss placement.
Image showing a chart with 2:1 long and short trades, highlighting a candle disqualified for a long entry due to ADX below 20.
2. Supertrend Breakout Strategy
Goal: Use Supertrend for primary signals and stops, confirming with volume and trend strength.
Setup: Enable Supertrend, Slow MA, ADX, and OBV.
Entry (Long):
- Supertrend line turns green and price closes above it.
- Price > Slow MA (Optional filter for alignment with larger trend).
- ADX is rising or above 20 (Confirms trending conditions).
- OBV is generally rising or breaks a recent resistance level (Confirms volume supporting the move).
Entry (Short): Reverse logic (except for ADX and OBV).
Management: Initial stop-loss placed just below the green Supertrend line (for longs) or above the red line (for shorts). Trail stop as Supertrend moves.
Image showing a chart with a 2:1 long trade, one candle disqualified for a short entry, and another disqualified for a long entry.
3. Trend Continuation Pullbacks
Goal: Enter established trends during pullbacks to value areas defined by MAs or Supertrend.
Setup: Enable Slow MA, Fast MA (or Supertrend), MACD, and ADX.
Entry (Long):
- Price is consistently above the Slow MA (Strong uptrend established).
- ADX > 25 (Confirms strong trend).
- Price pulls back towards the Fast MA or the green Supertrend line.
- MACD Histogram was decreasing during the pullback but turns positive again OR MACD line crosses above Signal line near the MA/Supertrend level (Indicates momentum resuming).
Entry (Short): Reverse logic (except for ADX) during a confirmed downtrend.
Management: Stop-loss below the recent swing low or the Slow MA/Supertrend level.
Image showing a chart with 2:1 long and short trades, where price pulls back to the fast MA and the MACD histogram changes color, indicating shifts in momentum during the pullbacks.
█ CONCLUSION
The Trend Following Bundle offers a powerful and flexible solution for traders focused on trend-based strategies. By consolidating essential indicators into one script with deep customization, multi-timeframe analysis, and built-in alerts, it simplifies the analytical workflow and allows for the development of robust, multi-conditional trading systems. Whether used for confirming entries, identifying trend strength, managing risk, or filtering market conditions, this bundle provides a versatile foundation for technical analysis.
█ IMPORTANT NOTES
⚠ Parameter Tuning: Indicator settings (lengths, factors, thresholds) are not one-size-fits-all. Adjust them based on the asset being traded, its typical volatility, and the timeframe you are analyzing for optimal performance. Backtesting is crucial .
⚠ Multi-Timeframe Use: Using the Timeframe input allows for powerful analysis but be mindful of potential lag, especially if Wait TF Close is disabled. Signals based on higher timeframes will update only when that higher timeframe bar closes (if Wait TF Close is enabled).
⚠ Confirmation is Key: While the bundle provides many tools, avoid relying on a single indicator's signal. Use combinations to build confluence and increase the probability of successful trades.
⚠ Chart Clarity: With many indicators available, only enable those relevant to your current strategy to avoid overwhelming your chart. Use the On/Off toggles frequently.
⚠ Confirmed Bars Only: Like most TradingView indicators, signals and plots are finalized on the close of the bar. Be cautious acting on intra-bar signals which may change before the bar closes.
█ RISK DISCLAIMER
Trading involves substantial risk of loss and is not suitable for every investor. The Trend Following Bundle indicator provides technical analysis tools for educational and informational purposes only; it does not constitute financial advice or a recommendation to buy or sell any asset. Indicator signals identify potential patterns based on historical data but do not guarantee future price movements or profitability. Always conduct your own thorough analysis, use multiple sources of information, and implement robust risk management practices before making any trading decisions. Past performance is not indicative of future results.
📊 Happy trading! 🚀
Saral TrendSaral Trend
### Overview
The Saral Trend Indicator is a price-action-based tool designed to measure trend strength dynamically. Unlike traditional trend following indicators that rely solely on moving averages or fixed formulas, Saral Trend integrates Directional Movement, price positioning within the bar range, and volatility-adjusted trend weighting to create a clearer visualization of market momentum. By refining the classic trend following approach, this indicator provides more responsive and adaptive trend analysis across various timeframes.
### Key Features
Trend Histogram: Four types of bars indicate trend strength and momentum.
- Bullish Up: Higher than the previous bar; signals a strong uptrend; Color: Dark Blue.
- Bullish Down: Lower than the previous bar; suggests weakening momentum in an uptrend; Color: Light Blue.
- Bearish Up: Higher than the previous bar; signals a strong downtrend; Color: Dark Red.
- Bullish Down: Lower than the previous bar; suggests weakening momentum in a downtrend; Color: Light Red.
Trend Strength Line: A smoothed reference line that provides additional confirmation of momentum strength.
- When histogram bars are above this line, the trend is strong.
- When they fall below, momentum weakens.
Trend Pause Dots: Appear when the trend shows signs of temporary exhaustion, suggesting a possible short-term pause or reversal.
- A bullish pause dot on a bearish bar indicates a temporary halt in an uptrend before continuation or a reversal.
- A bearish pause dot on a bullish bar indicates a temporary halt in a downtrend before continuation or a reversal.
Oscillator Functionality: No fixed upper limit, but extreme bar values (e.g., above 100) suggest overbought or oversold conditions.
### Calculation Methodology
Analyzing Price Movement:
- The indicator calculates the difference between the highest and lowest prices over a period to determine price movement.
- It smooths these values using an Exponential Moving Average (EMA) to filter out short-term noise.
Identifying Trend:
- It compares the current high and low prices with their moving averages to determine whether the market is trending up or down.
- If the high price moves further from its average compared to the low price, it indicates bullish strength. Conversely, if the low price moves further from its average compared to high price, it signals bearish strength.
Evaluating Closing Price Position:
- The indicator analyzes where the closing price is within the high-low range.
- If the closing price is near the high, bullish strength is emphasized. If it is near the low, bearish strength is given more weight.
Measuring Trend Strength:
- The indicator applies volatility based smoothing techniques to measure positive and negative trend strength separately.
- A higher positive trend value suggests strong buying pressure, while a higher negative trend value indicates strong selling pressure.
- A dynamic smoothing approach ensures trend signals remain stable while reacting quickly to market shifts.
Visualizing Trend Strength with a Histogram:
- The indicator plots a positive and negative strength in form of histogram to represent the strength and direction of the trend.
- The color of the histogram bars changes based on whether the trend is strengthening or weakening.
- Blue shades indicate bullish trends, while red shades represent bearish trends.
Trend Reversal Detection: A trend pause or potential reversal is identified when the histogram weakens sharply, with dots appearing on bars as early warnings.
### How to Use It
Trend Direction: The colors of the histogram bars provide a visual clue about the ongoing trend - whether it's bullish or bearish - allowing traders to assess market sentiment at a glance.
Trend Confirmation: When histogram bars are consistently above the Trend Strength Line, it indicates strong momentum, confirming trade direction.
Momentum Shifts: A color shift (e.g., from Dark Blue to Light Blue) suggests weakening strength, which could indicate a pullback or reversal.
Reversal Signals: Trend Pause Dots highlight areas where momentum stalls, helping traders prepare for possible reversals or consolidations.
Timeframe Flexibility:
- Long-term traders can use weekly/monthly charts for macro trends.
- Swing traders can use daily/hourly charts to capture medium-term opportunities.
- Day traders can use 15-minute or lower timeframes for precise intraday entries.
### What Makes Saral Trend Unique?
Unlike conventional trend indicators that rely solely on moving averages, Saral Trend improves upon existing methods by:
Integrating price positioning within the range to make trend strength more responsive.
Applying volatility-adjusted trend weighting, ensuring trends are measured dynamically rather than through fixed lookback periods.
Providing multiple visual cues (histogram, strength line, and pause dots) to help traders make informed decisions.
This indicator is optimized for simplicity and efficiency , making it suitable for traders across different styles, from long-term investors to intraday scalpers.
By combining trend structure, momentum shifts, and volatility adaptation , Saral Trend delivers a comprehensive and actionable trend analysis tool for TradingView users.
Dual Trendline Breakout [Splirus]This advanced trading tool leverages the power of dual pivot-based trendlines to provide traders with a superior edge in identifying potential breakout and retest opportunities. By combining two separate pivot lengths, the indicator creates both primary and secondary trendlines, enabling more robust confluence and decision-making in your trading strategy.
Key Features:
1. Dual Pivot Analysis:
Primary Trendline: Uses a shorter pivot length to capture immediate price movements and breakout scenarios.
Secondary Trendline: Employs a longer pivot length for broader trend identification and confirmation.
2. Enhanced Confluence:
The combination of short-term and long-term trendlines provides stronger signals, reducing false positives and enhancing accuracy.
3. Dynamic Visualization:
Automatically plots trendlines and extends them until they are crossed.
Distinct colors for uptrend and downtrend lines for easy interpretation.
Highlights where price breaks above or below the trendlines with bar coloring.
4. Alerts for Key Events:
Alerts are triggered for breakout and retest scenarios, ensuring you never miss critical market movements.
5. Customizable Settings:
Adjust pivot lengths, trendline colors, and visualization preferences to suit your trading style.
Optional settings for showing only the most recent trendlines, hiding crossed lines, and extending lines dynamically.
How It Works:
The indicator identifies pivot highs and lows based on the specified lengths for both primary and secondary trendlines.
When price interacts with these trendlines (breakout, retest, or cross), it highlights the event with customizable bar colors and optional alerts.
By monitoring these interactions, traders can better time their entries and exits, leveraging the dual-period analysis for stronger market confluence.
Ideal Use Cases:
Scalping: Use primary trendlines for quick trade opportunities.
Swing Trading: Combine primary and secondary trendlines for more significant market moves.
Trend Continuation or Reversal: Identify breakout confirmations or retests for confident trade setups.
This indicator is a powerful addition to any trader's toolkit, offering precision, adaptability, and actionable insights for navigating the markets with confidence.
Its closed-source design ensures that the unique advantages of the Dual Trendline identification algorithm remain exclusive to its users, providing an edge that cannot be duplicated elsewhere.
Cross-Asset Correlation Trend IndicatorCross-Asset Correlation Trend Indicator
This indicator uses correlations between the charted asset and ten others to calculate an overall trend prediction. Each ticker is configurable, and by analyzing the trend of each asset, the indicator predicts an average trend for the main asset on the chart. The strength of each asset's trend is weighted by its correlation to the charted asset, resulting in a single average trend signal. This can be a rather robust and effective signal, though it is often slow.
Functionality Overview :
The Cross-Asset Correlation Trend Indicator calculates the average trend of a charted asset based on the correlation and trend of up to ten other assets. Each asset is assigned a trend signal using a simple EMA crossover method (two customizable EMAs). If the shorter EMA crosses above the longer one, the asset trend is marked as positive; if it crosses below, the trend is negative. Each trend is then weighted by the correlation coefficient between that asset’s closing price and the charted asset’s closing price. The final output is an average weighted trend signal, which combines each trend with its respective correlation weight.
Input Parameters :
EMA 1 Length : Sets the period of the shorter EMA used to determine trends.
EMA 2 Length : Sets the period of the longer EMA used to determine trends.
Correlation Length : Defines the lookback period used for calculating the correlation between the charted asset and each of the other selected assets.
Asset Tickers : Each of the ten tickers is configurable, allowing you to set specific assets to analyze correlations with the charted asset.
Show Trend Table : Toggle to show or hide a table with each asset’s weighted trend. The table displays green, red, or white text for each weighted trend, indicating positive, negative, or neutral trends, respectively.
Table Position : Choose the position of the trend table on the chart.
Recommended Use :
As always, it’s essential to backtest the indicator thoroughly on your chosen asset and timeframe to ensure it aligns with your strategy. Feel free to modify the input parameters as needed—while the defaults work well for me, they may need adjustment to better suit your assets, timeframes, and trading style.
As always, I wish you the best of luck and immense fortune as you develop your systems. May this indicator help you make well-informed, profitable decisions!
Trend Titan Neutronstar [QuantraSystems]Trend Titan NEUTRONSTAR
Credits
The Trend Titan NEUTRONSTAR is a comprehensive aggregation of nearly 100 unique indicators and custom combinations, primarily developed from unique and public domain code.
We'd like to thank our TradingView community members: @IkKeOmar for allowing us to add his well-built "Normalized KAMA Oscillator" and "Adaptive Trend Lines " indicators to the aggregation, as well as @DojiEmoji for his valuable "Drift Study (Inspired by Monte Carlo Simulations with BM)".
Introduction
The Trend Titan NEUTRONSTAR is a robust trend following algorithm meticulously crafted to meet the demands of crypto investors. Designed with a multi layered aggregation approach, NEUTRONSTAR excels in navigating the unique volatility and rapid shifts of the cryptocurrency market. By stacking and refining a variety of carefully selected indicators, it combines their individual strengths while reducing the impact of noise or false signals. This "aggregation of aggregators" approach enables NEUTRONSTAR to produce a consistently reliable trend signal across assets and timeframes, making it an exceptional tool for investors focused on medium to long term market positioning.
NEUTRONSTAR ’s powerful trend following capabilities provide investors with straightforward, data driven analysis. It signals when tokens exhibit sustained upward momentum and systematically removes allocations from assets showing signs of weakness. This structure aids investors in recognizing peak market phases. In fact, one of NEUTRONSTAR ’s most valuable applications is its potential to help investors time exits near the peak of bull markets. This aims to maximize gains while mitigating exposure to downturns.
Ultimately, NEUTRONSTAR equips investors with a high precision, adaptable framework for strategic decision making. It offers robust support to identify strong trends, manage risk, and navigate the dynamic crypto market landscape.
With over a year of rigorous forward testing and live trading, NEUTRONSTAR demonstrates remarkable robustness and effectiveness, maintaining its performance without succumbing to overfitting. The system has been purposefully designed to avoid unnecessary optimization to past data, ensuring it can adapt as market conditions evolve. By focusing on aggregating valuable trend signals rather than tuning to historical performance, the NEUTRONSTAR serves as a reliable universal trend following system that aligns with the natural market cycles of growth and correction.
Core Methodology
The foundation of the NEUTRONSTAR lies in its multi aggregated structure, where five custom developed trend models are combined to capture the dominant market direction. Each of these aggregates has been carefully crafted with a specific trend signaling period in mind, allowing it to adapt seamlessly across various timeframes and asset classes. Here’s a breakdown of the key components:
FLARE - The original Quantra Signaling Matrix (QSM) model, best suited for timeframes above 12 hours. It forms the foundation of long term trend detection, providing stable signals.
FLAREV2 - A refined and more sophisticated model that performs well across both high and low timeframes, adding a layer of adaptability to the system.
NEBULA - An advanced model combining FLARE and FLAREV2. NEBULA brings the advantages of both components together, enhancing reliability and capturing smoother, more accurate trends.
SPARK - A high speed trend aggregator based on the QSM Universal model. It focuses on fast moving trends, providing early signals of potential shifts.
SUNBURST - A balanced aggregate that combines elements of SPARK and FLARE, confirming SPARK’s signals while minimizing false positives.
Each of these models contributes its own unique perspective on market movement. By layering fast, medium, and slower trend following signals, NEUTRONSTAR can confirm strong trends while filtering out shorter term noise. The result is a comprehensive tool that signals clear market direction with minimized false signals.
A Unique Approach to Trend Aggregation
One of the defining characteristics of NEUTRONSTAR is its deliberate choice to avoid perfectly time coherent indicators within its aggregation. In simpler terms, NEUTRONSTAR purposefully incorporates trend following indicators with slightly different signal periods, rather than synchronizing all components to a single signaling period. This choice brings significant benefits in terms of diversification, adaptability, and robustness of the overall trend signal.
When aggregating multiple trend following components, if all indicators were perfectly time coherent - meaning they responded to market changes in exactly the same way and over the time periods - the resulting signal would effectively be no different from a single trend following indicator. This uniformity would limit the system’s ability to capture a variety of market conditions, leaving it vulnerable to the same noise or false signals that any single indicator might encounter. Instead, NEUTRONSTAR leverages a balanced mix of indicators with varied timing: some fast, some slower, and some in the medium range. This choice allows the system to extract the unique strengths of each component, creating a combined signal that is stronger and more reliable than any single indicator.
By incorporating different signal periods, NEUTRONSTAR achieves what can be thought of as a form of edge accumulation. The fast components within NEUTRONSTAR , for example, are highly sensitive to quick shifts in market direction. These indicators excel at identifying early trend signals, enabling NEUTRONSTAR to react swiftly to emerging momentum. However, these fast indicators alone would be prone to reacting to market noise, potentially generating too many premature signals. This is where the medium term indicators come into play. These components operate with a slower reaction time, filtering out the short term fluctuations and confirming the direction of the trend established by the faster indicators. The combination of these varying signal speeds results in a balanced, adaptive response to market changes.
This approach also allows NEUTRONSTAR to adapt to different market regimes seamlessly. In fast moving, volatile markets, the faster indicators provide an early alert to potential trend shifts, while the slower components offer a stabilizing influence, preventing overreaction to temporary noise. Conversely, in steadier or trending markets, the medium and slower indicators sustain the trend signal, reducing the likelihood of premature exits. This flexible design enhances NEUTRONSTAR ’s ability to operate effectively across multiple asset classes and timeframes, from short term fluctuations to longer term market cycles.
The result is a powerful, multi-layered trend following tool that remains adaptive, capturing the benefits of both fast and medium paced reactions without becoming overly sensitive to short term noise. This unique aggregation methodology also supports NEUTRONSTAR ’s robustness, reducing the risk of overfitting to historical data and ensuring that the system can perform reliably in forward testing and live trading environments. The slightly staggered signal periods provide a greater degree of resilience, making NEUTRONSTAR a dependable choice for traders looking to capitalize on sustained trends while minimizing exposure during periods of market uncertainty.
In summary, the lack of perfect time coherence among NEUTRONSTAR ’s sub components is not a flaw - but a deliberate, robust design choice.
Risk Management through Market Mode Analysis
An essential part of NEUTRONSTAR is its ability to assess the market's underlying behavior and adapt accordingly. It employs a Market Mode Analysis mechanism that identifies when the market is either in a “Trending State” or a “Mean Reverting State.” When enough confidence is established that the market is trending, the system confirms and signals a “Trending State,” which is optimal for maintaining positions in the direction of the trend. Conversely, if there’s insufficient confidence, it labels the market as “Mean Reverting,” alerting traders to potentially avoid trend trades during likely sideways movement.
This distinction is particularly valuable in crypto, where asset prices often oscillate between aggressive trends and consolidation periods. The Market Mode Analysis keeps traders aligned with the broader market conditions, minimizing exposure during periods of potential whipsaws and maximizing gains during sustained trends.
Zero Overfitting: Design and Testing for Real World Resilience
Unlike many trend following indicators that rely heavily on backtesting and optimization, NEUTRONSTAR was built to perform well in forward testing and live trading without post design adjustments. Over a year of live market exposure has all but proven its robustness, with the system’s methodology focused on universal applicability and simplicity rather than curve fitting to past data. This approach ensures the aggregator remains effective across different market cycles and maintains relevance as new data unfolds.
By avoiding overfitting, NEUTRONSTAR is inherently more resistant to the common issue of strategy degradation over time, making it a valuable tool for traders seeking reliable market analysis you can trust for the long term.
Settings and Customization Options
To accommodate a range of trading styles and market conditions, NEUTRONSTAR includes adjustable settings that allow for fine tuning sensitivity and signal generation:
Calculation Method - Users can choose between calculating the NEUTRONSTAR score based on aggregated scores or by using the state of individual aggregates (long, neutral, short). The score method provides faster signals with slightly more noise, while the state based approach offers a smoother signal.
Sensitivity Threshold - This setting adjusts the system’s sensitivity, defining the width of the neutral zone. Higher thresholds reduce sensitivity, allowing for a broader range of volatility before triggering a trend reversal.
Market Regime Sensitivity - A sensitivity adjustment, ranging from 0 to 100, that affects the sensitivity of the sub components in market regime calculation.
These settings offer flexibility for users to tailor NEUTRONSTAR to their specific needs, whether for medium term investment strategies or shorter term trading setups.
Visualization and Legend
For intuitive usability, NEUTRONSTAR uses color coded bar overlays to indicate trend direction:
Green - indicates an uptrend.
Gray - signals a neutral or transition phase.
Purple - denotes a downtrend.
An optional background color can be enabled for market mode visualization, indicating the overall market state as either trending or mean reverting. This feature allows traders to assess trend direction and strength at a glance, simplifying decision making.
Additional Metrics Table
To support strategic decision making, NEUTRONSTAR includes an additional metrics table for in depth analysis:
Performance Ratios - Sharpe, Sortino, and Omega ratios assess the asset’s risk adjusted returns.
Volatility Insights - Provides an average volatility measure, valuable for understanding market stability.
Beta Measurement - Calculates asset beta against BTC, offering insight into asset volatility in the context of the broader market.
These metrics provide deeper insights into individual asset behavior, supporting more informed trend based allocations. The table is fully customizable, allowing traders to adjust the position and size for a seamless integration into their workspace.
Final Summary
The Trend Titan NEUTRONSTAR indicator is a powerful and resilient trend following system for crypto markets, built with a unique aggregation of high performance models to deliver dependable, noise reduced trend signals. Its robust design, free from overfitting, ensures adaptability across various assets and timeframes. With customizable sensitivity settings, intuitive color coded visualization, and an advanced risk metrics table, NEUTRONSTAR provides traders with a comprehensive tool for identifying and riding profitable trends, while safeguarding capital during unfavorable market phases.
The Forexation: Super Trend SignalsOverview:
The Forexation: Super Trend Signals (STS) indicator was crafted to enhance visualization of market trends by integrating multiple technical analysis tools and adding logic to them so they color bullish, bearish, counter trends, and cautious trends. By combining standard and higher-timeframe Supertrends with dynamic EMAs and VWAP, STS offers a multi-dimensional view of market dynamics. This synergy allows traders to:
Assess Trend Strength and Alignment
Identify Momentum Shifts and Reversals
Gauge Market Sentiment through Volume-Weighted Pricing
Filter Out Market Noise for Clearer Signals
Key Features and Synergy:
1. Dual Supertrend Analysis:
Standard Supertrend:
Utilizes the Average True Range (ATR) and a multiplier factor to detect immediate market trends.
Customizable ATR Length and Factor to adjust sensitivity to market volatility.
Used as a guide to help follow the trend and identify where if price breaks through we can be reversing trend or entering a counter/cautious trend.
Higher Time Frame (HTF) Supertrend:
Integrates Supertrend data from a higher timeframe for a broader market perspective.
Smoothing applied via an EMA to reduce lag and false signals.
**Synergistic Effect:
Trend Alignment: By analyzing both standard and HTF Supertrends, STS identifies when short-term trends align with long-term trends, increasing the reliability of trend signals.
Dynamic Adjustments: Traders can adjust parameters to fine-tune the balance between responsiveness and stability.
2. Customized EMAs with Contextual Color-Coding:
Fast and Slow EMAs:
Customizable periods to match different trading strategies and timeframes.
EMAs are used to identify momentum shifts and potential reversals through crossovers.
Dynamic Color-Coding:
EMA lines change color based on their relationship with each other, the Supertrends, and VWAP.
Visual Interpretation:
Bullish Alignment: Fast EMA above Slow EMA, both above Supertrend and VWAP, signals strong upward momentum.
Bearish Alignment: Fast EMA below Slow EMA, both below Supertrend and VWAP, signals strong downward momentum.
Caution Zones: Misalignment or crossovers indicate potential reversals or consolidation.
**Synergistic Effect:
Momentum Confirmation: EMA crossovers are validated against Supertrend directions, reducing false signals.
Support and Resistance Zones: The area between EMAs acts as dynamic support/resistance, visualized through an optional fill.
3. VWAP Integration for Volume-Weighted Insights:
VWAP Analysis:
Calculates the average price weighted by volume, providing insights into institutional trading levels and market sentiment.
**Synergistic Effect:
Trend Validation: Confirms trend strength by analyzing whether price and EMAs are above or below VWAP.
Counter-Trend Detection: Identifies potential pullbacks or reversals when price interacts with VWAP against the prevailing trend of the standard and higher time frame SuperTrend.
4. Composite Signal Generation:
Color-Coded Market Conditions:
Bullish Signals (Green): Strong upward trends with alignment across standard + HTF Supertrend, EMAs, and price above VWAP.
Bearish Signals (Red): Strong downward trends with inverse alignment.
Caution State (Orange): Potential market reversals or uncertainty when indicators are misaligned. (Example: price above VWAP but under HTF SuperTrend)
Counter-Trend Conditions (Yellow): Signals possible pullbacks or consolidations when price or EMAs cross VWAP. (Example: Price is above VWAP & HTF SuperTrend but the EMAs and Standard SuperTrend are in a down trend)
**Synergistic Effect:
Enhanced Signal Accuracy: By requiring multiple confirmations across different indicators and timeframes, STS filters out noise and increases the probability of trends in the market.
Timely Alerts: Alerts are generated when critical conditions are met, keeping traders informed of significant market movements.
Underlying Concepts and Calculations:
Supertrend Algorithm:
Calculation:
Supertrend is calculated using ATR to set a dynamic trailing stop that follows price movements.
The indicator switches between bullish and bearish modes when price crosses the Supertrend line.
Customization:
ATR Length and Factor can be adjusted to make the Supertrend more or less sensitive to price changes.
In STS: Both standard and HTF Supertrends are used, with the HTF providing longer-term trend context.
Exponential Moving Averages (EMAs):
Calculation:
EMAs apply more weight to recent prices, making them more responsive than Simple Moving Averages (SMAs).
Crossovers between Fast and Slow EMAs signal potential momentum shifts.
Customization:
Periods for Fast and Slow EMAs are user-defined to suit different trading styles.
In STS: EMA behavior is analyzed in conjunction with Supertrend and VWAP to validate signals.
Volume Weighted Average Price (VWAP):
Calculation:
VWAP accumulates total dollars traded (price times volume) divided by total volume over a specific period.
Reflects the average price at which the instrument has traded throughout the day based on both price and volume.
**In STS:
VWAP serves as a dynamic support/resistance level.
Interaction with VWAP can indicate shifts in market sentiment, especially when combined with other indicators.
Justifying the Value of STS:
Holistic Market Analysis:
STS doesn't just merge indicators; it creates a cohesive system where each component validates and enhances the others.
This integrated approach offers a more reliable analysis than using individual indicators in isolation.
Customizable and Adaptive:
Traders have control over key parameters, allowing STS to be tailored to different markets and trading styles.
The ability to adjust sensitivity helps in adapting to varying market conditions.
Enhanced Decision-Making:
By providing clear visual cues and alerts, STS aids in quick interpretation of complex market data.
The indicator helps in identifying high-probability trend opportunities and managing risk effectively with trailing SuperTrend guidance.
Unique Signal Filtering:
The combination of multiple confirmations reduces the likelihood of false trend signals.
The use of higher timeframe data and volume-weighted analysis adds depth to trend assessment.
How to Use STS Effectively:
1. Configuring Settings:
Supertrend Settings:
Adjust ATR Length and Factor to set the desired sensitivity.
Select the Higher Time Frame for the HTF Supertrend to align with your trading horizon.
Set the Smoothing Period for the EMA applied to the HTF Supertrend.
EMA Settings:
Define periods for Fast and Slow EMAs based on your strategy.
Ensure the Fast EMA period is shorter than the Slow EMA for effective crossovers.
Color and Display Settings:
Customize colors for different market conditions to enhance visual clarity.
Choose whether to display the HTF Supertrend, EMA lines, EMA fill, and VWAP.
2. Interpreting Signals:
Bullish Scenario:
Supertrends indicate an uptrend.
Fast EMA crosses above Slow EMA, both trending upwards.
Price and EMAs are above VWAP.
Action: Consider long positions, using the standard Supertrend as a trailing stop.
Bearish Scenario:
Supertrends indicate a downtrend.
Fast EMA crosses below Slow EMA, both trending downwards.
Price and EMAs are below VWAP.
Action: Consider short positions. using the standard Supertrend as a trailing stop
Caution and Counter-Trend Signals:
Misalignment between indicators or color changes to orange/yellow.
Action: Exercise caution, tighten stops, or wait for clearer signals.
4. Setting Up Alerts:
Access the Alerts menu.
Configure alerts for:
Supertrend Direction Changes
EMA Crossovers
Price Crossing VWAP
Set alert actions and ensure they trigger on confirmed data by selecting "Once Per Bar Close."
Example Trading Strategies:
Trend Following:
Use STS to identify strong trends where all indicators are aligned.
Enter positions in the direction of the trend.
Use Supertrend lines as dynamic stop-loss levels.
Pullback Entries:
Wait for price to pull back to the EMA fill area or VWAP in a prevailing trend.
Look for bounce signals off these levels when supported by Supertrend direction.
Counter-Trend Opportunities:
Identify potential reversals when caution or counter-trend signals appear.
Confirm with additional analysis or indicators before taking positions against the main trend.
Disclaimer:
This indicator is intended to aid in technical analysis and should be used as part of a comprehensive trading strategy. It does not guarantee profits and carries the risk of loss. Trading financial instruments involves significant risk; please consult with a qualified financial advisor before making any investment decisions. Past performance is not indicative of future results.
Final Notes:
The Forexation: Super Trend Signals (STS) indicator represents a thoughtfully engineered tool that brings together multiple technical elements to provide a more nuanced understanding of market behavior. By leveraging the strengths of Supertrend, EMAs, and VWAP in unison, STS aims to enhance trading precision and confidence in the trends the market creates but also guide risk management levels for managing a trade and stop loss areas.
We are committed to continuous improvement and value user feedback. Please share your experiences and suggestions to help us refine the indicator further.
Happy Trading!
