Bias + VWAP Pullback — v4 (PA + BOS/CHOCH)Simple idea: I identify the trend (bias) from the larger timeframe, and only trade pullbacks to the VWAP/EMA during liquidity (London/New York). When the trend is clear, gold moves strongly, and its pullbacks to the balance lines provide clear opportunities.
Timeframe and Sessions (Cairo Time)
Analysis: H1 to determine the trend.
Implementation: 5m (or 1m if professional).
Trading window:
London Opening: 10:00–12:30
New York Opening: 16:30–19:00
(avoid the rest of the day unless there is exceptional traffic).
Direction determination (BIAS)
On H1:
If the price is above the 200 EMA and the daily VWAP is bullish and the price is above it → uptrend (long-only).
If the price is below the 200 EMA and the daily VWAP is bearish and the price is below it → bearish trend (short-only).
Determine your levels: yesterday's high/low (PDH/PDL) + approximate Asia range (03:00–09:30).
Entry Rules (Setup A: Trend Continuation)
Asia range breakout towards Bias during liquidity window.
Wait for a withdrawal to:
Daily VWAP, or
EMA50 on 5m frame (best if both cross).
Confirmation: Confirmation low/high on 5m (HL buy/LH sell) + clear impulse candle (Body is greater than average of last 10 candles).
Entry:
Buy: When the price returns above VWAP/EMA50 with a confirmation candle close.
Sell: The exact opposite.
Stop Loss (SL): Below/above the last confirmation low/high or ATR(14, 5m) x 1.5 (largest).
Objectives:
TP1 = 1R (Close 50% and move the rest Break-even).
TP2 = 2.5R to 3R or at an important HTF level (PDH/PDL/Bid/Demand Zone).
Entry Rules (Setup B: Reversion to VWAP – “Mean Reversion”)
Use with extreme caution, once daily maximum:
Price deviation from VWAP by more than ~1.5 x ATR(14, 5m) with rejection candles appearing near PDH/PDL.
Reverse entry towards the return of VWAP.
SL small behind rejection top/bottom.
Main target: VWAP. (Don't get greedy — this scenario is for extended periods only.)
News Filtering and Risk Management
Avoid trading 15–30 minutes before/after strong US news (CPI, NFP, FOMC).
Maximum daily loss: 1.5–2% of account balance.
Risk per trade: 0.25–0.5% (if you are learning) or 0.5–1% (if you are experienced).
Do not exceed two consecutive losing trades per day.
Don't chase the market after the opportunity has passed — wait for the next pullback.
Smart Deal Management
After TP1: Move stop to entry point + trail the rest with EMA20 on 5m or ATR Trailing = ATR(14)×1.0.
If the price touches a strong daily level (PDH/PDL) and fails to break, consider taking additional profit.
If VWAP starts to flatten and breaks against the trend on H1, stop trading for the day.
Quick Checklist (Before Entry)
H1 trend is clear and consistent with 200EMA + VWAP.
Penetrating the Asia range towards Bias.
Clean pull to VWAP/EMA50 on 5m.
Confirmation candle and real push.
SL is logical (behind swing/ATR×1.5) and R :R ≥ 1:2.
No red news coming soon.
Example of "ready-made" settings
EMA: 20, 50, 200 on 5m, 200 only on H1.
VWAP: Daily (reset daily).
ATR: 14 on 5m.
Levels: PDH/PDL + Asia Band (03:00–09:30 Cairo).
Gold Notes
Gold is fast and sharp at the open; don't get in early — wait for the draw.
Fakeouts are common before news: it is best to call with the trend after the price returns above/below VWAP.
Don't expect 80% consistent wins every day — the advantage comes from discipline, filtering out bad days, and only withdrawing when you're on the right track.
تعتبر شركة الماسة الألمانية أحد المؤسسات العاملة بالمملكة العربية السعودية ولها تاريخ طويل من الخدمات الكثيرة والمتنوعة التى مازالت تقدمها للكثير من العملاء داخل جميع مدن وأحياء المملكة حيث نقدم أفضل ما لدينا من خلال مجموعة الشركات التالية والتي من خلالها ستتلقي كل ما تحتاج إلية في كل المجال المختلفة فنحن نعمل منذ عام 2015 ولنا سابقات اعمال فى مختلف المجالات الحيوية التى نخدم من خلالها عملائنا ونوفر لهم أرخص الأسعار وبأعلى جودة من الممكن توفرها فى المجالات التالية :-
خدمات تنظيف المنازل والفلل والشقق
خدمات عزل الخزانات تنظيف غسيل صيانة اصلاح
خدمات جلي البلاط والرخام والسيراميك
خدمات نقل العفش عمالة فلبينية مدربة
خدمات مكافحة الحشرات بجدة
كل هذة الخدمات وأكثر نوفرها لكل المتعاقدين بأفضل الطرق مع توفير خطط وبرامج متنوعة لأتمام العمل المسنود إلينا بأفضل وأحدث الطرق الحديثة والعصرية سواء فى شركات النظافة بجدة ومكة المكرمة أو شركات نقل العفش بجدة عمالة فلبينية وباقى الخدمات مثل جلي وتلميع الرخام بمكة وجدة ولا ننسي شركة مكافحة حشرات بجدة التى ساعدت آلاف المواطنين على تنظيف منازلهم من الحشرات بأفضل مبيدات حشرية.
波动率
Big Candle Trend█ OVERVIEW
The "Big Candle Trend" indicator is a technical analysis tool written in Pine Script® v6 that identifies large signal candles on the chart and determines the trend direction based on the analysis of all candles within a specified period. Designed for traders seeking a simple yet effective tool to identify key market movements and trends, the indicator provides clarity and precision through flexible settings, trend line visualization, and retracement lines on signal candles.
█ CONCEPTS
The goal of the "Big Candle Trend" indicator was to create a tool based solely on the size of candle bodies and their relative positions, making it universal and effective across all markets (stocks, forex, cryptocurrencies) and timeframes. Unlike traditional indicators that often rely on complex formulas or external data (e.g., volume), this indicator uses simple yet powerful price action logic. Large signal candles are identified by comparing their body size to the average body size over a selected period, and the trend is determined by analyzing price changes over a longer period relative to the average candle body size. Additionally, the indicator draws horizontal lines on signal candles, aiding in setting Stop Loss levels or delayed entries.
█ FEATURES
Large Signal Candle Detection: Identifies candles with a body larger than the average body multiplied by a user-defined multiplier, aligned with the trend (if the trend filter is enabled). Signals are displayed as triangles (green for bullish, red for bearish).
Trend Analysis: Determines the trend (uptrend, downtrend, or neutral) by comparing the price change over a selected period (trend_length) to the average candle body size multiplied by a trend strength multiplier. The trend starts when:
Uptrend: The price change (difference between the current close and the close from an earlier period) is positive and exceeds the average candle body size multiplied by the trend strength multiplier (avg_body_trend * trend_mult).
Downtrend: The price change is negative and exceeds, in absolute value, the average candle body size multiplied by the trend strength multiplier.
Neutral Trend: The price change is below the required threshold, indicating no clear market direction.The trend ends when the price change no longer meets the conditions for an uptrend or downtrend, transitioning to a neutral state or switching to the opposite trend when the price change reverses and meets the conditions for the new trend. This approach differs from standard methods as it focuses on price dynamics in the context of candle body size, offering a more intuitive and direct way to gauge trend strength.
Smoothed Trend Line: Displays a trend line based on the average price (HL2, i.e., the average of the high and low of a candle), smoothed using a user-defined smoothing parameter. The trend line reflects the market direction but is not tied to breakouts, unlike many other trend indicators, allowing for more flexible interpretation.
Retracement Lines: Draws horizontal lines on signal candles at a user-defined level (e.g., 0.618). The lines are displayed to the right of the candle, with a width of one candle. For bullish candles, the line is measured from the top of the body (close) downward, and for bearish candles, from the bottom of the body (close) upward, aiding in setting Stop Loss or delayed entries.
Trend Option: Option to enable a trend filter that limits large candle signals to those aligned with the current trend, enhancing signal precision.
Customizable Visualization: Allows customization of colors for uptrend, downtrend, and neutral states, trend line style, and shadow fill between the trend line and price.
Alerts: Built-in alerts for large signal candles (bullish and bearish) and trend changes (start of uptrend, downtrend, or neutral trend).
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
Candle Settings:
Average Period (Candles): Sets the period for calculating the average candle body size.
Large Candle Multiplier: Multiplier determining how large a candle’s body must be to be considered "large".
Trend Settings:
Trend Period: Period for analyzing price changes to determine the trend.
Trend Strength Multiplier: Multiplier setting the minimum price change required to identify a significant trend.
Trend Line Smoothing: Degree of smoothing for the trend line.
Show Trend Line: Enables/disables the display of the trend line.
Apply Trend Filter: Limits large candle signals to those aligned with the current trend.
Trend Colors:
Customize colors for uptrend (green), downtrend (red), and neutral (gray) states, and enable/disable shadow fill.
Retracement Settings:
Retracement Level (0.0-1.0): Sets the level for lines on signal candles (e.g., 0.618).
Line Width: Sets the thickness of retracement lines.
Interpreting Signals:
Bullish Signal: A green triangle below the candle indicates a large bullish candle aligned with an uptrend (if the trend filter is enabled). A horizontal line is drawn to the right of the candle at the retracement level, measured from the top of the body downward.
Bearish Signal: A red triangle above the candle indicates a large bearish candle aligned with a downtrend (if the trend filter is enabled). A horizontal line is drawn to the right of the candle at the retracement level, measured from the bottom of the body upward.
rend Line: Shows the market direction (green for uptrend, red for downtrend, gray for neutral). Unlike many indicators, the trend line’s color is not tied to its breakout, allowing for more flexible interpretation of market dynamics.
Alerts: Set up alerts in TradingView for large signal candles or trend changes to receive real-time notifications.
Combining with Other Tools: Use the indicator alongside other technical analysis tools, such as support/resistance levels, RSI, moving averages, or Fair Value Gaps (FVG), to confirm signals.
█ APPLICATIONS
Price Action Trading: Large signal candles can indicate key market moments, such as breakouts of support/resistance levels or strong price rejections. Use signal candles in conjunction with support/resistance levels or FVG to identify entry opportunities. Retracement lines help set Stop Loss levels (e.g., below the line for bullish candles, above for bearish) or delayed entries after price returns to the retracement level and confirms trend continuation. Note that large candles often generate Fair Value Gaps (FVG), which should be considered when setting Stop Loss levels.
Trend Strategies: Enable the trend filter to limit signals to those aligned with the dominant market direction. For example, in an uptrend, look for large bullish candles as continuation signals. The indicator can also be used for position pyramiding, adding positions as subsequent large candles confirm trend continuation.
Practical Approach:
Large candles with high volume may indicate strong market participation, increasing signal reliability.
The trend line helps visually assess market direction and confirm large candle signals.
Retracement lines on signal candles aid in identifying key levels for Stop Loss or delayed entries.
█ NOTES
The indicator works across all markets and timeframes due to its universal logic based on candle body size and relative positioning.
Adjust settings (e.g., trend period, large candle multiplier, retracement level) to suit your trading style and timeframe.
Test the indicator on various markets (stocks, forex, cryptocurrencies) and timeframes to optimize its performance.
Use in conjunction with other technical analysis tools to enhance signal accuracy.
RSI Divergence + Hidden RSI Divergence + Hidden (TV-like pairing, final)
What it does
This indicator plots RSI and automatically detects both regular and hidden divergences by pairing RSI pivots with price pivots. It supports a TradingView-like loose pairing (within a user-defined bar tolerance) and a strict same-bar pairing. Detected signals are drawn with lines and optional labels on the RSI pane for quick visual verification.
Divergence logic
Regular Bullish (label: Bull)
Price makes a lower low while RSI makes a higher low → potential upward reversal.
Regular Bearish (label: Bear)
Price makes a higher high while RSI makes a lower high → potential downward reversal.
Hidden Bullish (label: H_Bull)
Price makes a higher low while RSI makes a lower low → trend-continuation bias upward.
Hidden Bearish (label: H_Bear)
Price makes a lower high while RSI makes a higher high → trend-continuation bias downward.
All conditions use pivot-to-pivot comparisons with optional equality tolerance for price and RSI to reduce false “equal” mismatches.
Pairing modes
TV-like
Pairs the latest price and RSI pivots if their pivot bars occur within ±tolBars.
A lightweight “pending” buffer allows pairing a newly detected pivot with a recent opposite pivot that arrived a few bars earlier/later (within tolerance).
Same Bar
Price and RSI pivots must occur on the exact same bar to form a pair.
Key inputs
RSI Source & Length: srcRsi, rsiLen (default 14). RSI line and reference levels (70/50/30) can be shown/hidden.
Pivot Window: leftBars, rightBars for both price and RSI pivots.
Pairing: pairMode = TV-like or Same Bar; tolBars for bar tolerance (TV-like only).
Price Pivot Basis: priceMode = High/Low (default) or Close.
Equality Tolerance:
allowEqual (use >=/<=),
priceEpsTks (ticks) for price equality slack,
rsiEps (points) for RSI equality slack.
Visibility: showRSI, showRegular, showHidden, showLabels.
Visuals
Lines (on RSI):
Regular Bearish: red
Regular Bullish: lime
Hidden Bearish: orange
Hidden Bullish: teal
Labels (optional): "Bear", "Bull", "H_Bear", "H_Bull" placed on the RSI series at the second pivot.
Alerts
Four alert conditions are provided and fire when the corresponding divergence is confirmed:
Bear (Regular)
Bull (Regular)
H_Bear (Hidden)
H_Bull (Hidden)
Notes & tips
Divergences are evaluated only when both price and RSI pivots exist and can be paired under the selected mode.
Pivot sensitivity: smaller leftBars/rightBars → earlier but noisier signals; larger values → fewer, more stable pivots.
Tolerance: If you miss valid setups because pivots land a few bars apart, use TV-like with a small tolBars (e.g., 1–2). If you prefer stricter confirmation, use Same Bar.
Equality slack: Use priceEpsTks and rsiEps to avoid rejecting near-equal highs/lows due to tiny differences.
Works on any symbol/timeframe; as with all divergence tools, treat signals as context—combine with trend, structure, and risk management.
Turtle Trading with LayeringCrafted professional write-up for TradingView indicator publication.
Turtle Trading with Layering System
A complete implementation of the famous turtle trading strategy with proper position layering/pyramiding for manual trading.
Features
Core Turtle System:
20-day breakout entries (primary signals)
55-day breakout entries (backup after losses)
10-day reverse breakout exits
ATR-based stop losses and position sizing
Position Layering:
Build positions gradually as trends develop
Add up to 4 units per position
Each unit added every 0.5 ATR in your favor
Single stop loss protects entire position
ATR Future Movement Range Projection
The "ATR Future Movement Range Projection" is a custom TradingView Pine Script indicator designed to forecast potential price ranges for a stock (or any asset) over short-term (1-month) and medium-term (3-month) horizons. It leverages the Average True Range (ATR) as a measure of volatility to estimate how far the price might move, while incorporating recent momentum bias based on the proportion of bullish (green) vs. bearish (red) candles. This creates asymmetric projections: in bullish periods, the upside range is larger than the downside, and vice versa.
The indicator is overlaid on the chart, plotting horizontal lines for the projected high and low prices for both timeframes. Additionally, it displays a small table in the top-right corner summarizing the projected prices and the percentage change required from the current close to reach them. This makes it useful for traders assessing potential targets, risk-reward ratios, or option strategies, as it combines volatility forecasting with directional sentiment.
Key features:
- **Volatility Basis**: Uses weekly ATR to derive a stable daily volatility estimate, avoiding noise from shorter timeframes.
- **Momentum Adjustment**: Analyzes recent candle colors to tilt projections toward the prevailing trend (e.g., more upside if more green candles).
- **Time Horizons**: Fixed at 1 month (21 trading days) and 3 months (63 trading days), assuming ~21 trading days per month (excluding weekends/holidays).
- **User Adjustable**: The ATR length/lookback (default 50) can be tweaked via inputs.
- **Visuals**: Green/lime lines for highs, red/orange for lows; a semi-transparent table for quick reference.
- **Limitations**: This is a probabilistic projection based on historical volatility and momentum—it doesn't predict direction with certainty and assumes volatility persists. It ignores external factors like news, earnings, or market regimes. Best used on daily charts for stocks/ETFs.
The indicator doesn't generate buy/sell signals but helps visualize "expected" ranges, similar to how implied volatility informs option pricing.
### How It Works Step-by-Step
The script executes on each bar update (typically daily timeframe) and follows this logic:
1. **Input Configuration**:
- ATR Length (Lookback): Default 50 bars. This controls both the ATR calculation period and the candle count window. You can adjust it in the indicator settings.
2. **Calculate Weekly ATR**:
- Fetches the ATR from the weekly timeframe using `request.security` with a length of 50 weeks.
- ATR measures average price range (high-low, adjusted for gaps), representing volatility.
3. **Derive Daily ATR**:
- Divides the weekly ATR by 5 (approximating 5 trading days per week) to get an equivalent daily volatility estimate.
- Example: If weekly ATR is $5, daily ATR ≈ $1.
4. **Define Projection Periods**:
- 1 Month: 21 trading days.
- 3 Months: 63 trading days (21 × 3).
- These are hardcoded but based on standard trading calendar assumptions.
5. **Compute Base Projections**:
- Base projection = Daily ATR × Days in period.
- This gives the total expected movement (range) without direction: e.g., for 3 months, $1 daily ATR × 63 = $63 total range.
6. **Analyze Candle Momentum (Win Rate)**:
- Counts green candles (close > open) and red candles (close < open) over the last 50 bars (ignores dojis where close == open).
- Total colored candles = green + red.
- Win rate = green / total colored (as a fraction, e.g., 0.7 for 70%). Defaults to 0.5 if no colored candles.
- This acts as a simple momentum proxy: higher win rate implies bullish bias.
7. **Adjust Projections Asymmetrically**:
- Upside projection = Base projection × Win rate.
- Downside projection = Base projection × (1 - Win rate).
- This skews the range: e.g., 70% win rate means 70% of the total range allocated to upside, 30% to downside.
8. **Calculate Projected Prices**:
- High = Current close + Upside projection.
- Low = Current close - Downside projection.
- Done separately for 1M and 3M.
9. **Plot Lines**:
- 3M High: Solid green line.
- 3M Low: Solid red line.
- 1M High: Dashed lime line.
- 1M Low: Dashed orange line.
- Lines extend horizontally from the current bar onward.
10. **Display Table**:
- A 3-column table (Projection, Price, % Change) in the top-right.
- Rows for 1M High/Low and 3M High/Low, color-coded.
- % Change = ((Projected price - Close) / Close) × 100.
- Updates dynamically with new data.
The entire process repeats on each new bar, so projections evolve as volatility and momentum change.
### Examples
Here are two hypothetical examples using the indicator on a daily chart. Assume it's applied to a stock like AAPL, but with made-up data for illustration. (In TradingView, you'd add the script to see real outputs.)
#### Example 1: Bullish Scenario (High Win Rate)
- Current Close: $150.
- Weekly ATR (50 periods): $10 → Daily ATR: $10 / 5 = $2.
- Last 50 Candles: 35 green, 15 red → Total colored: 50 → Win Rate: 35/50 = 0.7 (70%).
- Base Projections:
- 1M: $2 × 21 = $42.
- 3M: $2 × 63 = $126.
- Adjusted Projections:
- 1M Upside: $42 × 0.7 = $29.4 → High: $150 + $29.4 = $179.4 (+19.6%).
- 1M Downside: $42 × 0.3 = $12.6 → Low: $150 - $12.6 = $137.4 (-8.4%).
- 3M Upside: $126 × 0.7 = $88.2 → High: $150 + $88.2 = $238.2 (+58.8%).
- 3M Downside: $126 × 0.3 = $37.8 → Low: $150 - $37.8 = $112.2 (-25.2%).
- On the Chart: Green/lime lines skewed higher; table shows bullish % changes (e.g., +58.8% for 3M high).
- Interpretation: Suggests stronger potential upside due to recent bullish momentum; useful for call options or long positions.
#### Example 2: Bearish Scenario (Low Win Rate)
- Current Close: $50.
- Weekly ATR (50 periods): $3 → Daily ATR: $3 / 5 = $0.6.
- Last 50 Candles: 20 green, 30 red → Total colored: 50 → Win Rate: 20/50 = 0.4 (40%).
- Base Projections:
- 1M: $0.6 × 21 = $12.6.
- 3M: $0.6 × 63 = $37.8.
- Adjusted Projections:
- 1M Upside: $12.6 × 0.4 = $5.04 → High: $50 + $5.04 = $55.04 (+10.1%).
- 1M Downside: $12.6 × 0.6 = $7.56 → Low: $50 - $7.56 = $42.44 (-15.1%).
- 3M Upside: $37.8 × 0.4 = $15.12 → High: $50 + $15.12 = $65.12 (+30.2%).
- 3M Downside: $37.8 × 0.6 = $22.68 → Low: $50 - $22.68 = $27.32 (-45.4%).
- On the Chart: Red/orange lines skewed lower; table highlights larger downside % (e.g., -45.4% for 3M low).
- Interpretation: Indicates bearish risk; might prompt protective puts or short strategies.
#### Example 3: Neutral Scenario (Balanced Win Rate)
- Current Close: $100.
- Weekly ATR: $5 → Daily ATR: $1.
- Last 50 Candles: 25 green, 25 red → Win Rate: 0.5 (50%).
- Projections become symmetric:
- 1M: Base $21 → Upside/Downside $10.5 each → High $110.5 (+10.5%), Low $89.5 (-10.5%).
- 3M: Base $63 → Upside/Downside $31.5 each → High $131.5 (+31.5%), Low $68.5 (-31.5%).
- Interpretation: Pure volatility-based range, no directional bias—ideal for straddle options or range trading.
In real use, test on historical data: e.g., if past projections captured actual moves ~68% of the time (1 standard deviation for ATR), it validates the volatility assumption. Adjust the lookback for different assets (shorter for volatile cryptos, longer for stable blue-chips).
LCS DynamicUses adaptive calculations to generate signals each signal has different rules to trade which will be updated shortly
@M5V | Standard Deviation (Basic) | GCTStandard Deviation (Basic) — Patch Notes
What’s new
• Two custom sessions (A & B) only—no presets.
• Timezone-aware sessions (IANA, e.g., America/New_York, Europe/London).
• Exact width matching: SD lines span exactly from the session’s first bar to its last bar
(same as the box).
• Start/End verticals control: None, Start only, End only, or Both.
• Anchor choice: Build ranges from either Wicks or Bodies.
• Deviation style: Full (1.0× steps) or Half (0.5× steps), with adjustable count.
• Optional Equilibrium (midline).
• Global line style and box visibility toggles.
How it works (under the hood)
1. Session tracking:
• At each session start (based on your Session + Timezone) the script stores the start bar and initializes hi/lo.
• While the session is active, it updates hi/lo using Wicks or Bodies (your choice) and extends the box to the current bar.
• On session end, it records the end bar.
2. Deviation drawing:
• Computes range = high − low.
• Draws symmetric SD bands above/below using your Full/Half setting and count.
• All SD lines are drawn from start bar → end bar so they match the box width exactly.
• If Equilibrium is on, the midline (avg of high/low) is drawn across the same width.
3. Start/End lines:
• According to Start/End Lines setting, verticals are drawn at the start bar, end bar, both, or not at all—each spanning from session low to high.
Quick use
• Pick Session windows for A/B and set each Timezone.
• Choose Wicks or Bodies, Full/Half deviations, Count, Color, and whether to show
Equilibrium and Boxes.
• Set Start/End Lines to control the vertical markers.
• Optional: change Line Style (solid/dotted/dashed).
B3 – VIX + Breadth + SR + Projeção 14dA comprehensive technical analysis tool that combines volatility proxies (HV, ATR, BB Width, composite VolIndex), market breadth (internal and multi-timeframe), pivot-based support/resistance with strength and confluence, and a 14-day linear regression projection with confidence bands. Designed to provide a holistic view of trend, risk, and key price levels for swing and medium-term trading decisions.
BB TrendSyncBB TrendSync - Advanced Dual-Band Momentum Deviation System
Core Innovation and Originality
This indicator transforms traditional Bollinger Band analysis through three key innovations that distinguish it from standard implementations:
1. Dual-Band Percentage Oscillator Architecture: Unlike conventional Bollinger Bands that display price levels, this system converts dual Bollinger Band calculations into percentage-based oscillators. The first system uses extended lookback periods (40-period base with 65-period standard deviation) for macro trend detection, while the second employs rapid response parameters (8-period base with 66-period standard deviation) for micro momentum capture. Each system independently calculates where price sits within its band range as a percentage from 0-100.
2. Momentum Deviation Enhancement: The breakthrough innovation applies standard deviation analysis to the percentage oscillator readings themselves. Rather than analyzing price volatility, this technique measures the volatility of the oscillator's position within its range over a specified period (typically 25 periods with 0.8 multiplier). This creates dynamic "bands around the bands" that adapt to changing market momentum characteristics.
3. Multi-Modal Signal Synthesis: The system provides five distinct methods for combining dual-band signals, from simple arithmetic averaging to consensus requirements where both systems must agree. The "Average" mode specifically utilizes momentum deviation crossovers rather than basic threshold crossovers, creating refined entry timing.
Mathematical Framework
Percentage Conversion Formula:
The core calculation transforms standard Bollinger Band readings into normalized percentages using the formula:
BB_Percent = 100 * (Source - Lower_Band) / (Upper_Band - Lower_Band)
Momentum Deviation Calculation:
The system then calculates the standard deviation of these percentage readings:
MD_StdDev = StandardDeviation(BB_Percent, MD_Length)
Upper_MD_Band = BB_Percent + (MD_Multiplier * MD_StdDev)
Lower_MD_Band = BB_Percent - (MD_Multiplier * MD_StdDev)
Signal Generation Logic:
Primary signals occur when momentum deviation bands cross predetermined thresholds, providing earlier and more reliable entry points than standard Bollinger Band touches. The system tracks band states dynamically, changing visual indicators when momentum shifts are detected.
Value Proposition for Closed-Source Distribution
This indicator justifies TOP ELITE access through several proprietary elements:
Algorithmic Sophistication: The momentum deviation methodology represents original research into oscillator volatility analysis. While Bollinger Bands are public domain, applying volatility analysis to the percentage oscillator itself is a novel approach that required extensive backtesting and optimization.
Advanced Signal Processing: The five-mode signal combination system with momentum deviation integration provides significantly more nuanced analysis than standard Bollinger Band implementations. The state tracking and visual feedback systems offer professional-grade market analysis tools.
Comprehensive Analytics Engine: The integrated performance measurement system calculates advanced metrics including Sortino ratio, Calmar ratio, and Kelly Criterion position sizing guidance in real-time, providing institutional-quality analytics typically found in expensive trading platforms.
Professional Visualization Framework: The dynamic color-coding system, gradient oscillator bars, and state-aware visual elements provide immediate market sentiment feedback that goes far beyond basic indicator plotting.
Technical Implementation Details
Dual-System Parameters:
System 1 (Macro): 40-period SMA base, 65-period standard deviation calculation, 1.0 multiplier
System 2 (Micro): 8-period SMA base, 66-period standard deviation calculation, 1.9 multiplier
Momentum Deviation Settings:
Standard deviation length: 25 periods (optimized for detecting momentum shifts)
Multiplier: 0.8 (calibrated to reduce false signals while maintaining sensitivity)
Threshold Configuration:
Long threshold: 62% (upper momentum zone entry)
Short threshold: 60% (lower momentum zone entry)
Close thresholds create tight range for precision timing
Signal Modes Explained:
BB1 Only: Uses macro system exclusively for trend-following signals
BB2 Only: Uses micro system exclusively for momentum scalping
Average: Employs momentum deviation crossovers of averaged systems
Both Required: Demands agreement from both systems before signaling
Either One: Triggers when any system generates signals
Performance Metrics Explained
Core Performance Metrics:
Net Profit: Total percentage return from strategy implementation, showing bottom-line effectiveness of the signal generation system.
Win Rate: Percentage of profitable trades, indicating signal accuracy. Combined with profit factor analysis to ensure statistical reliability.
Total Trades: Number of completed round-trip trades for statistical significance assessment.
Current P&L: Real-time profit/loss percentage of active positions with continuous updates.
Risk Assessment Metrics:
Max Drawdown: Largest peak-to-trough equity decline, crucial for risk management and position sizing decisions.
Calmar Ratio: Annualized return divided by maximum drawdown, providing risk-adjusted performance measurement.
Advanced Risk Metrics:
Sharpe Ratio: Excess return per unit of total volatility, industry standard for risk-adjusted performance comparison.
Sortino Ratio: Similar to Sharpe but focuses on downside deviation only, providing more realistic risk assessment.
Kelly Criterion (Half): Optimal position sizing calculation based on win probability and average win/loss ratios, using conservative half-Kelly approach.
Real-Time Status:
Position: Current market exposure (Long/Short/Cash)
MD State: Momentum deviation status (Bullish/Bearish/Neutral)
Practical Application
Setup Recommendations:
Use "Average" mode for balanced signal generation combining both timeframe perspectives
Monitor momentum deviation band colors for trend confirmation
Observe gradient oscillator position for market sentiment assessment
Utilize performance metrics for strategy optimization and risk management
Adjust thresholds based on market volatility characteristics
Market Applicability:
The system functions across all timeframes and instruments, with particular effectiveness in trending markets where momentum persistence provides statistical edge. The dual-band approach captures both short-term momentum shifts and longer-term trend developments.
Competitive Advantages
Unlike standard Bollinger Band indicators that simply plot price bands, this system provides:
Quantified momentum analysis through volatility-of-volatility calculations
Multi-modal signal processing for diverse market conditions
Professional-grade performance analytics with institutional metrics
Dynamic visual feedback systems for immediate market assessment
Optimized parameter sets developed through extensive backtesting
12H SUI
1H BTC Since 2023
Risk Disclaimer
This indicator is designed for educational and analytical purposes. It does not constitute financial advice or trading recommendations. Past performance does not guarantee future results. Trading involves substantial risk of loss, and you should carefully consider your financial situation before making trading decisions. The indicator's signals should be part of comprehensive analysis and never the sole basis for trading decisions. Always conduct independent research.
Technical Requirements
Compatible with all TradingView chart types and timeframes. Optimized for real-time analysis with efficient computational algorithms suitable for live trading environments.
APO Channel // SuperTrend Optimized📌 Complete Long Description (Final Version)
APO Channel – Adaptive Breakout Detection
🔹 How it works
The originality of this script lies in the combination of two complementary approaches:
An adaptive channel, whose responsiveness is based on fractal dimension and volatility.
A breakout & candle confirmation system, providing clear visual trade signals.
Unlike standard channels (e.g., Bollinger Bands), which use a fixed deviation or multiplier, the APO Channel dynamically adjusts its baseline (Filt) and bands (Filt1, Filt2) in real time. This ensures that signals are not only adaptive to market conditions but also reinforced when both indicators align simultaneously, filtering out false moves and highlighting stronger trade opportunities.
🔹 Why this combination matters
By merging an adaptive volatility channel with a breakout confirmation system, the script provides traders with a more reliable view of momentum shifts.
The channel identifies when markets are consolidating versus expanding.
The breakout signals confirm actual momentum surges.
When both conditions trigger together, the likelihood of a meaningful move increases, making signals clearer and more robust than using either tool alone.
🔹 Visual signals
The script offers optional candle coloring and breakout labels:
Bullish signals are shown when price breaks above the adaptive upper band.
Bearish signals appear when price breaks below the adaptive lower band.
For clearer visualization, traders can activate the blue, green, and gray candles by clicking on the channel bands.
👉 This makes simultaneous signals and the prevailing trend much more visible, helping traders quickly spot alignment between the adaptive channel and breakout confirmation.
🔹 Optimized Default Settings
Channel Length: 26
Bands Distance: 1
ATR Period: 1
Source: (High + Low)/2
ATR Multiplier: 2
These parameters have been optimized for balanced responsiveness across assets.
👉 Signals are particularly relevant for scalping entries on the 3-minute timeframe, where quick detection of breakouts provides a trading edge.
The indicator works seamlessly on futures, crypto, forex, stocks, and most other instruments, making it a versatile tool for traders across markets.
🔹 How to use
Use breakouts above the channel as a potential entry signal for bullish momentum trades.
Use breakouts below the channel as a potential entry signal for bearish momentum trades.
When both the breakout signal and candle confirmation occur simultaneously, consider it a stronger trading signal.
Activate candle coloring on the channel bands to make signals and trend more visible.
Combine with other tools (volume, higher timeframe bias) for additional confirmation.
✅ Why this script adds value
Most breakout tools rely on static measures (fixed standard deviation, moving average envelopes, etc.). The APO Channel introduces an adaptive filter based on fractal dimension analysis, while also reinforcing signals through dual confirmation (channel breakouts + candle regime).
This makes it a versatile tool for traders seeking adaptive, visually clear, and reliable breakout detection across multiple markets and timeframes.
MONEYZEYAH | ATR DISPLAYATR (Average True Range) indicator shows market volatility by displaying the average price range over a set period, usually 14. It appears as a number below the main chart, helping traders gauge price movement strength and adjust stop losses or position sizes accordingly. 📊🌡️
Volatility Indicator 波动率指标 According to the improved indicators based on volatility, parameters can be customized to adjust to personal preferences.
GSR-MINI BandsGSR-Mini Bands is an indicator designed to analyze the dynamics of implied volatility indices, such as the VIX (S&P500) or the VDAX-NEW (DAX40).
The calculation is performed as the percentage difference between the cumulative series of opening gaps and the cumulative evolution of the volatility index itself, adjusted for those gaps.
The indicator moves in a range of approximately -1 to 1, with intermediate lines (0.3 and 0.7) that help identify different relative levels of volatility behavior.
Although it is primarily designed for daily charts, it can also be applied to shorter time frames, such as 1 minute, where it offers additional insight into intraday volatility dynamics.
Note : This indicator does not constitute an investment recommendation. It is presented solely as a technical analysis tool.
GSR BandsGSR Bands is an indicator designed to analyze the dynamics of an implied volatility index based on opening gaps. The model builds an accumulated series of gaps and generates additional offset bands derived from Fibonacci numbers and prime numbers (+10, +20, +30, +50, +70, +80, +110, +125).
The result is a set of cumulative gap curves that help visualize relevant zones in the evolution of the volatility index (potential areas of maximum volatility). Users can customize the offset values displayed on the chart, making it easier to explore different analytical scenarios.
The indicator can be applied to volatility indices such as VIX or VDAX-NEWS, and may serve as a complementary tool when studying the relationship between implied volatility and equity markets.
Note : This indicator does not constitute an investment recommendation. It is intended solely as a technical analysis tool.
LBM-Strategy Engine Pro: The Ultimate Confluence IndicatorOverview
Welcome to the Strategy Engine Pro , the ultimate confluence indicator designed for traders who demand precision and full control over their trading signals. This is not just an indicator; it is a complete, customizable strategy-building framework.
It seamlessly integrates three powerful concepts into a single, intuitive tool:
Advanced Moving Average Trend Analysis to define the market context.
An intelligent Support & Resistance Cycle Engine to identify key price levels.
A flexible 10-rule Strategy Builder that lets you design, test, and refine your own entry signals with surgical precision.
Core Features
1. Advanced Moving Average Trend Analysis
The indicator plots 5 fully configurable Moving Averages (MAs). You can choose the Period and Type (SMA, EMA, WMA, HMA, RMA) for each one. But its true power lies in its unique color-coding system, which analyzes the slope and momentum of each MA, not just its price.
MA Color Code:
Green: The MA is in a strong, confirmed uptrend.
Red: The MA is in a strong, confirmed downtrend.
Yellow: The MA is flat or in a transitional (sideways) phase.
This provides an instant visual snapshot of the market trend across five different timeframes.
2. Support & Resistance Cycle Engine
Forget simple pivot points. This indicator incorporates a sophisticated engine that identifies and plots significant "Master Cycle" levels on your chart.
Anchored Levels: These S/R lines are persistent and intelligent. When a key resistance level is broken, it automatically "flips" and becomes the new anchored support level, and vice-versa. This accurately maps out the market's structural progression.
The Strategy Builder: Your Personal Trading Lab
This is the heart of the indicator. You have 10 sequential rules that allow you to define the exact conditions for a Buy signal. The Sell signal is generated as the logical, symmetrical opposite.
For each rule, you can configure:
Source A & Source B: Choose from a wide range of data points:
Price values: Close, Open, High, Low.
Previous candle values: Close Before, Open Before, etc.
Moving Average values: MA 1 through MA 5.
MA Trend Colors: MA 1 Color, MA 2 Color Before, etc.
Operator: Define the comparison logic:
Standard: >, <, >=, <=
Events: Crossover, Crossunder
Color Logic: Is Color, Is NOT Color, Turned Color, Ceased to be Color
Important Note on Sell Signals: Sell conditions are designed to be the symmetrical opposite of the buy conditions you create.
If Buy is Close > MA 1, Sell will be Close < MA 1.
If Buy is MA 1 Color Is Green, Sell will be MA 1 Color Is Red.
If Buy is MA 1 Color Turned Green, Sell will be MA 1 Color Turned Red.
This ensures your sell strategy mirrors the logic of your buy strategy, preventing the "inverse problem" of getting sell signals on every candle that isn't a buy signal.
Mastering the Connectors: ( ) AND and ( ) OR
The true power of the Strategy Builder lies in its connectors, which allow you to create complex, multi-layered logic. The connector on a rule defines how it connects to the next active rule.
AND & OR: These work as you'd expect, creating a continuous chain of conditions.
Rule 1 (AND) & Rule 2 is evaluated as (R1 AND R2).
( ) OR (The Group Separator): This is your most powerful tool. It acts like closing a parenthesis in an equation. It finalizes the current group of rules and connects it to the
next group with a big "OR".
Example: (R1 AND R2) OR (R3 AND R4)
This creates two possible paths for a signal.
- Rule 1: Condition R1, Connector AND
- Rule 2: Condition R2, Connector ( ) OR <-- This closes the first group and links to the next with OR.
- Rule 3: Condition R3, Connector AND
- Rule 4: Condition R4
( ) AND (The Super-Filter): This allows you to create a "master" condition that must be true in addition to other complex conditions.
Example: (R1 OR R2) AND (R3 OR R4)
This requires a condition from the first group and a condition from the second group to be true.
- Rule 1: Condition R1, Connector OR
- Rule 2: Condition R2, Connector ( ) AND <-- This closes the first OR group and links to the next with AND.
- Rule 3: Condition R3, Connector OR
- Rule 4: Condition R4
By strategically combining these connectors, you can build any logical trading scenario you can imagine. We look forward to seeing the powerful strategies the community creates with this engine.
FlowThe indicator attempts to capture the volatility within a range and apply a set of Fibonacci calculations to display a range of bands of varying degrees which represents zones where exhaustion may occur on both sides.
So if price gets in to the yellow or pink zones then the script author is on high alert for a reversal. It must be noted that the user of the script should be fluent in Elliott Wave Analysis as the script was developed to help the author determine if a wave sequence may have ended.
When the indicator glides along one of the green, yellow or pink bands, then the instrument is likely in a 3rd wave, in Elliott wave speak, as such the user of the script would wait and not try to fade the move up or down as continuation is likely. Instead a move away from one of the bands should indicate another attempt at reaching the band after moving away. Thus, this move back in should be a 5th wave of some degree within the timeframe.
The indicator is not bound to any timeframe, as such it works on a 1 minute chart as it does on a weekly timeframe.
One of the observations the author makes is the use of the indicator within a sideways market. The indicator performs very well within these lower volatility environments by indicating exhaustion within these range bound markets.
So in essence, within the framework of Elliott wave analysis and respective time frames. Watch several higher and lower time frames.
1) Once wave 1 has completed
2) Look for a move down to the lower green / yellow zone to identify a wave 2 zone.
3) Once wave 3 starts, do not attempt to fade or short the first touch on the pink zone. Wait for price to move away and then come back in to the pink zone before considering a top and any attempts to fade.
4) Wave 4 should find support on the lower yellow or green band. Where it may be considered that price may change direction.
5) Depending on the time frame and any expected/unexpected extensions, Wave 5 may find resistance in to the pink zone.
A question that the author often asks is "where will wave 3 end?" - Will it end at the 1.618% extension of wave 1 & 2, the 176.4 or higher and perhaps lower. Using the pink zones the author has found it useful and quite accurate to make such a judgement based on the current position of the bands - Pink for exhaustion in an uptrend and green for exhaustion in a down trending market.
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool
Automatically composite multiple time periods to identify key areas of balance and market structure
What is the Composite Time Profile Overlay?
The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance.
The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action.
Why Use CTPO for Market Profile Trading?
Eliminate Manual Compositing Work
Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period.
Spot Areas of Balance Quickly
The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods.
Focus on What Matters
Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold.
How CTPO Works for Market Profile Traders
Automatic Profile Compositing
CTPO uses a proprietary algorithm that:
- Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection)
- Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation
- Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required)
- Updates composite levels as new price action develops in real-time
Key Levels for Market Profile Analysis
The indicator displays:
- Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data
- Point of Control (POC) levels where most trading occurred across all composited periods
- Composite zones representing areas of balance with configurable transparency
- 1.618 Fibonacci extensions for breakout targets based on composite range
Multiple Timeframe Support
- Sessions: For intraday market profile analysis
- Daily: For swing trading with daily profiles
- Weekly: For position trading with weekly structure
- Monthly: For long-term market profile analysis
- Auto: Automatically selects timeframe based on your chart
Trading Applications for Market Profile Users
Support and Resistance Trading
Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes.
Breakout Trading
When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades.
Mean Reversion Strategies
Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean.
Institutional Level Analysis
Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity.
Key Features for Market Profile Traders
Smart Compositing Logic
- Automatic overlap detection using price range intersection algorithms
- Configurable overlap thresholds (minimum 50% overlap required for merging)
- Dead composite identification (profiles that become engulfed by newer composites)
- Real-time updates as new price action develops using barstate.islast optimization
Visual Customization
- Customizable colors for active, broken, and dead composites
- Adjustable transparency levels for each composite state
- Premium/Discount zone highlighting based on current price vs composite range
- TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure
- Fibonacci level extensions with 1.618 target calculations based on composite range
Clean Chart Presentation
- Only shows the most relevant composite levels (maximum 10 active composites)
- Eliminates clutter from individual session profiles
- Focuses on areas of balance that matter most to current price action
Real-World Trading Examples
Day Trading with Session Composites
Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies.
Swing Trading with Daily Composites
Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets.
Position Trading with Weekly Composites
Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years.
Risk Management
Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions.
Why Composite Levels Work
Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies.
The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels.
Technical Foundation
The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations.
How the Code Actually Works
1. Period Detection and ATR Calculation
The code first determines the appropriate timeframe based on your chart:
- 1m-5m charts: Session-based profiles
- 15m-2h charts: Daily profiles
- 4h charts: Weekly profiles
- 1D charts: Monthly profiles
For each period type, it calculates the number of bars needed for ATR calculation:
- Sessions: 540 minutes divided by chart timeframe
- Daily: 1440 minutes divided by chart timeframe
- Weekly: 7 days worth of minutes divided by chart timeframe
- Monthly: 30 days worth of minutes divided by chart timeframe
2. C2M Row Size Calculation
The code calculates True Range for each bar in the determined period:
- True Range = max(high-low, |high-prevClose|, |low-prevClose|)
- Averages all True Range values to get ATR
- Row Size = (ATR / 10) converted to tick size
- This ensures each TPO row represents a meaningful price movement
3. TPO Profile Generation
For each period, the code:
- Creates price levels from lowest to highest price in the range
- Each level is separated by the calculated row size
- Counts how many bars touch each price level (TPO count)
- Finds the level with highest count = Point of Control (POC)
- Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included
4. Overlap Detection Algorithm
When a new profile is created, the code checks if it overlaps with existing composites:
- Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL)
- Calculates current profile range = currentVAH - currentVAL
- Overlap percentage = (overlap range / current profile range) * 100
- If overlap >= 50%, profiles are merged into a composite
5. Composite Merging Logic
When profiles overlap, the code creates a new composite by:
- Taking the earliest start bar and latest end bar
- Using the wider VAH/VAL range (max of both profiles)
- Keeping the POC from the profile with more TPO blocks
- Marking the composite as "active" until price breaks through
6. Real-Time Updates
The code uses barstate.islast to optimize performance:
- Only recalculates on the last bar of each period
- Updates active composite with live price action if enabled
- Cleans up old composites to prevent memory issues
- Redraws all visual elements from scratch each bar
7. Visual Rendering System
The code uses arrays to manage drawing objects:
- Clears all lines/boxes arrays on every bar
- Iterates through composites array to redraw everything
- Uses different colors for active, broken, and dead composites
- Calculates 1.618 Fibonacci extensions for broken composites
Getting Started with CTPO
Step 1: Choose Your Timeframe
Select the period type that matches your trading style:
- Use "Sessions" for day trading
- Use "Daily" for swing trading
- Use "Weekly" for position trading
- Use "Auto" to let the indicator choose based on your chart timeframe
Step 2: Customize the Display
Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis.
Step 3: Identify Key Levels
Look for:
- Composite zones (blue boxes) - major areas of balance
- VAH/VAL lines - value area boundaries
- POC lines - areas of highest trading activity
- 1.618 extension lines - breakout targets
Step 4: Develop Your Strategy
Use these levels to:
- Set entry points near composite zones
- Place stop losses beyond composite levels
- Take profits at 1.618 extension levels
- Identify trend changes when major composites break
Perfect for Market Profile Traders
If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most.
The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed.
Streamline Your Market Profile Analysis
Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter.
Ready to Streamline Your Market Profile Trading?
Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
Contract Interest Turnover T3 [T69]Overview
--------
Contract Interest Turnover (CIT) estimates how “churny” a crypto derivatives market is by comparing the amount traded in a bar to the base stock of outstanding contracts (open interest). It normalizes both Volume and Open Interest (OI) by Price (Close), then plots a Turnover Rate = (Volume/Close) ÷ (OI/Close) as colored columns. Higher values = faster contract recycling (strong momentum / hype potential).
Features
--------
- Auto-fetch OI: Pulls OI via request.security(_OI, …) when the exchange/symbol exposes an OI stream on TradingView.
- Price-normalized comparison: Converts both Volume and OI into comparable notional terms by dividing each by Close.
- Turnover columns with threshold: Color the columns green once Turnover ≥ your set threshold; gray otherwise.
- Status-line readouts: Displays normalized Volume and OI values for quick sanity checks.
- Crypto-aware timeframe: Uses chart TF for crypto; forces daily OI when not crypto to avoid noisy intraday pulls.
How to Use
----------
1. Add the script on a perpetual/futures symbol that has OI on TradingView (e.g., BTC perps where an _OI feed exists).
2. Watch the Turnover Rate bars: spikes above your threshold flag sessions where contracts are actively flipping.
3. Interpret spikes as a signal of movement or activity — it does not specify price direction, only that the market is engaged and contracts are being traded more intensely than usual.
Configuration
-------------
- Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile.
Under the Hood (Formulas & Logic)
---------------------------------
- Fetch OI
oiClose ← request.security(ticker.standard(syminfo.tickerid) + "_OI", timeframe, close) with ignore_invalid_symbol = true.
If none is found, the script throws a clear runtime error.
- Normalize to price
vol_norm = volume / close
oi_norm = oiClose / close
This converts both to a common notional basis so their ratio is meaningful even as price changes.
- Turnover Rate
turnover = vol_norm / oi_norm
Interpretation: fraction/multiples of the outstanding contract base traded in the bar. Color = green if turnover ≥ threshold.
Why Open Interest ≈ “Float” Proxy
---------------------------------
In stocks, float ≈ shares the public can trade. In derivatives, there are no “shares,” so Open Interest acts as the live stock of active contracts. It’s the best proxy for “what’s available in play” because it counts open positions that persist across bars. Using Volume ÷ OI mirrors stock float-turnover logic: how fast the tradable base is being recycled each period.
Why Normalize by Price
----------------------
Derivatives volume and OI may be reported in contracts, not notional value. One contract’s economic weight changes with price (especially on inverse contracts). Dividing both Volume and OI by Close:
- Puts them on a comparable notional footing.
- Prevents false spikes purely from price moves.
- Makes Turnover comparable across time even as price trends.
Advanced Tips
-------------
- Calibrate threshold: Start from the 80th–90th percentile of the last 60–90 bars of Turnover; set the threshold a touch below that to surface early heat.
- Add OI-delta: Layer an OI change histogram (current − prior) to separate new positioning from pure churn.
- Linear vs inverse: For linear (USDT-margined) contracts, the normalization still works and keeps visuals consistent; for inverse, it’s essential.
Limitations
-----------
- Data availability: Works only if your symbol exposes an _OI feed on TradingView; otherwise it errors out.
- Exchange conventions: Volume units differ by venue (contracts, coin, notional). Normalization mitigates, but cross-symbol comparisons still need caution.
- Intrabar gaps: OI is typically end-of-bar; rapid intrabar shifts won’t appear until the bar closes.
Notes
-----
- Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed.
Credit
------
- Concept & data: Built for TradingView data feeds.
- Acknowledgment: Credit to TradingView default indicator as requested.
- Source: This write-up reflects the logic present in your uploaded script.
Disclaimer
----------
Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
[LTS] LHAMA Consolidation Detector ProLHAMA Consolidation Detector Pro
The LHAMA (Low-High Adaptive Moving Average) Consolidation Detector Pro is an advanced technical analysis tool that displays up to 6 adaptive moving averages with automatic slope detection and visual consolidation identification. This indicator helps traders identify trending versus sideways market conditions across multiple timeframes simultaneously.
What is LHAMA?
LHAMA (pronounced "llama" 🦙) is an adaptive moving average that responds dynamically to market conditions by monitoring when price breaks above recent highs or below recent lows. Unlike traditional moving averages that use fixed smoothing factors, LHAMA increases its responsiveness during trending periods and becomes more stable during consolidation phases.
Key Features:
Up to 6 independent LHAMA lines with customizable parameters
Multi-timeframe analysis - each line can use different timeframes
Automatic slope detection and normalization (works across all instruments without manual adjustment)
Dynamic color coding: bullish (uptrend), bearish (downtrend), and flat (consolidation) states
Optional volume weighting for increased responsiveness during high-volume periods
Daily reset functionality to handle overnight gaps (useful for futures markets)
Optional cloud display around each LHAMA line for enhanced visual clarity
Optimized performance - disabled lines consume zero computational resources
How to Use:
Trend Identification: Easily identify when a move is significant by checking the color of the LHAMA line
Consolidation Detection: Even if price seems to be moving in a trend, the LHAMA line can help you determine if it is meaningful movement or just noise.
Multiple Timeframe Analysis: Enable multiple LHAMA lines with different lengths and timeframes to see trend alignment
Support/Resistance: LHAMA lines often act as dynamic support and resistance levels
Settings Explanation:
Length: Period for LHAMA calculation (shorter = more responsive, longer = smoother)
Volume Weight: Makes LHAMA more responsive during high volume periods
Color Sensitivity: Global setting that determines how quickly colors change based on slope angle. This lets you choose just how flat a "flat" line actually is.
Daily Reset: Optionally resets LHAMA to current price at specified time to avoid drift during session gaps.
Cloud Display: Shows volatility-based bands around LHAMA lines using ATR or Standard Deviation
Timeframe: Each LHAMA line can analyze a different timeframe independently.
Colors: Each LHAMA line can be customized with its own distinct colors for clean, easy visuals.
Technical Details:
The indicator uses a proprietary adaptive algorithm that:
Monitors price breakouts
Applies volume weighting when enabled
Uses slope normalization for consistent performance across all instruments
Implements efficient conditional processing to minimize computational overhead
Color Logic:
The slope detection system calculates a normalized angle of the LHAMA line. This ensures consistent color behavior whether trading stocks, forex, crypto, or futures without requiring the manual sensitivity adjustments of the basic version of this indicator.
Angles less than 5 degrees (default) are considered "flat" (consolidation)
Steeper angles transition smoothly between flat and trend colors
The Sensitivity and Length settings allow fine-tuning for different trading styles
Best Practices:
Start with LHAMA 1 enabled using default settings to understand the indicator
Enable volatility bands to help determine possible TP/SL placement
Use multiple LHAMA lines with different lengths (e.g., 14, 34, 89) or time frames for comprehensive analysis
Combine with other technical analysis tools for confirmation
Adjust the Color Sensitivity setting based on your preferred responsiveness
Enable Daily Reset for instruments with significant overnight gaps
This indicator is suitable for all markets and timeframes, providing traders with a sophisticated tool for identifying market structure and potential trading opportunities through advanced adaptive moving average technology.
CandelaCharts - Z-Deviation Waves 📝 Overview
Volatility feels chaotic until you anchor it to statistics—then “stretch” and “snap-back” become measurable.
The CandelaCharts – Z-Deviation Waves turns your price source into a rolling Z-score (distance from its mean in standard deviations) and visualizes it as a color-graded wave with optional trend columns and labeled sigma lines. You can label pure σ levels, show the price at σ , or use a fixed “Price @ Z” grid for consistent visuals.
📦 Features
Designed to spotlight statistical extremes and make them tradable.
Rolling Z-score : Mean + stdev over a configurable window, with optional smoothing.
Three label modes :
Z-score (σ) — classic −3σ…+3σ lines/labels.
Price @ σ — converts each σ level into the live price.
Price @ Z — maps Z to a fixed numeric grid for legacy/visual consistency.
Trend columns : Subtle columns behind the wave to show rising vs. falling Z.
Gradient wave : Blue→orange scale tied to Z intensity (−3…+3).
Quick table : Optional on-chart prices for −1σ / −2σ / −3σ.
Polish : Font family/size controls and branding toggle.
⚙️ Settings
Pick your statistical lens, then choose how to display it.
Period : Rolling window for mean & stdev.
Source : Price input (Close by default).
Text Size : Label size for σ lines.
Smoothing (Z) : SMA on Z to calm noise.
Label Mode : Z-score (σ) / Price @ σ / Price @ Z.
Show Trend Columns : Rising/falling backdrop.
Show −2σ/−3σ Table : Quick downside prices (σ mode).
⚡️ Showcase
Mean-reversion extremes : Tag touches beyond ±2σ and subsequent reversions.
Price @ σ ladder : Show live price equivalents for −1σ/−2σ/−3σ as dynamic supports.
Smoothing on/off : Compare Z with smoothing 1 vs. 5 to demonstrate noise control.
📒 Usage
Treat σ as a “stretch gauge,” then layer your entries with structure and risk rules.
Read the tiers :
±1σ — routine fluctuation.
±2σ — statistically significant; watch for exhaustion or follow-through.
±3σ — extreme; look for mean-reversion triggers or parabolic blow-off risk.
Price @ σ for levels : Use −1σ/−2σ as dynamic pullback/mean targets; +1σ/+2σ as potential resistance in downtrends.
Trend columns as timing : Fade extremes only when Z momentum stalls (columns stop rising against you).
Calibrate window : Shorter Period = faster, noisier signals; longer = steadier, fewer extremes.
Confluence : Pair with RSI/MACD divergence or key S/R for higher-quality reversions.
🚨 Alerts
There are no built-in alerts; add simple manual ones.
Crosses of ±1σ / ±2σ / ±3σ (plot value vs. horizontal lines).
Z turning down after tagging +2σ/+3σ (or turning up after −2σ/−3σ ).
Re-entry into the −1σ…+1σ band after an extreme (cool-down).
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
APC – Anti-Analysis-Paralysis Kompass APC – Anti-Analysis-Paralysis Compass (Pine v5).
Research/education indicator that compresses trend from 5 timeframes into one compass with Direction, Score, and Coherence (TF agreement). Non-repainting with a high-contrast breakdown table and in-chart help. No financial advice.
What it is
APC is a research/education tool that condenses trend information from five timeframes into a single compass. It shows Direction (↑/↓/→), a weighted Score, and Coherence (how strongly timeframes agree). The script is non-repainting (security(..., lookahead=off)) and includes a readable breakdown panel and example alerts.
How it works
• For each timeframe APC fits a linear regression to price, measures the slope change over k bars, optionally normalizes by ATR%, then maps it to +1 / 0 / −1 using a Deadzone (small slopes → neutral).
• A (weighted) sum of the five signs forms the Score.
• Coherence = |Score| / maxScore (0–100%), i.e., degree of TF alignment.
Quick start (suggested defaults)
• Timeframes: 15m · 1h · 4h · 1D · 1W • Weights: 1, 1, 1, 1.5, 2
• LinReg length: 100 • Slope Δ window: 10
• ATR normalization: ON • Deadzone: 0.03–0.05
• Coherence lock (for example alerts): 60%
Example research filters (non-advisory)
Many users test: Bullish bias when Score ≥ +3 and Coherence ≥ 60%; bearish bias when Score ≤ −3 and Coherence ≥ 60%. These are illustrative defaults only—configure and test your own thresholds.
Optional: pair with Kagi
Use APC for bias/conviction and Kagi turns for timing. Typical Kagi (swing): base 15m–1h, reversal ATR(14) × 1.5–2.5 or 1–3%.
Notes
Raise Deadzone in choppy markets; lower it for earlier flips. On very illiquid or young symbols, lengthen lenLR.
Disclaimer
APC is a research & educational indicator. It does not provide financial advice or recommendations. Use at your own risk. License: MIT.
Volatility Cone Forecaster Lite [PhenLabs]📊 Volatility Cone Forecaster
Version: PineScript™v6
📌Description
The Volatility Cone Forecaster (VCF) is an advanced indicator designed to provide traders with a forward-looking perspective on market volatility. Instead of merely measuring past price fluctuations, the VCF analyzes historical volatility data to project a statistical “cone” that outlines a probable range for future price movements. Its core purpose is to contextualize the current market environment, helping traders to anticipate potential shifts from low to high volatility periods (and vice versa). By identifying whether volatility is expanding or contracting relative to historical norms, it solves the critical problem of preparing for significant market moves before they happen, offering a clear statistical edge in strategy development.
This indicator moves beyond lagging measures by employing percentile analysis to rank the current volatility state. This allows traders to understand not just what volatility is, but how significant it is compared to the recent past. The VCF is built for discretionary traders, system developers, and options strategists who need a sophisticated understanding of market dynamics to manage risk and identify high-probability opportunities.
🚀Points of Innovation
Forward-Looking Volatility Projection: Unlike standard indicators that only show historical data, the VCF projects a statistical cone of future volatility.
Percentile-Based Regime Analysis: Ranks current volatility against historical data (e.g., 90th, 75th percentiles) to provide objective context.
Automated Regime Detection: Automatically identifies and labels the market as being in a ‘High’, ‘Low’, or ‘Normal’ volatility regime.
Expansion & Contraction Signals: Clearly indicates whether volatility is currently increasing or decreasing, signaling shifts in market energy.
Integrated ATR Comparison: Plots an ATR-equivalent volatility measure to offer a familiar point of reference against the statistical model.
Dynamic Visual Modeling: The cone visualization directly on the price chart provides an intuitive guide for future expected price ranges.
🔧Core Components
Realized Volatility Engine: Calculates historical volatility using log returns over multiple user-defined lookback periods (short, medium, long) for a comprehensive view.
Percentile Analysis Module: A custom function calculates the 10th, 25th, 50th, 75th, and 90th percentiles of volatility over a long-term lookback (e.g., 252 days).
Forward Projection Calculator: Uses the calculated volatility percentiles to mathematically derive and draw the upper and lower bounds of the future volatility cone.
Volatility Regime Classifier: A logic-based system that compares current volatility to the historical percentile bands to classify the market state.
🔥Key Features
Customizable Lookback Periods: Adjust short, medium, and long-term lookbacks to fine-tune the indicator’s sensitivity to different market cycles.
Configurable Forward Projection: Set the number of days for the forward cone projection to align with your specific trading horizon.
Interactive Display Options: Toggle visibility for percentile labels, ATR levels, and regime coloring to customize the chart display.
Data-Rich Information Table: A clean, on-screen table displays all key metrics, including current volatility, percentile rank, regime, and trend.
Built-in Alert Conditions: Set alerts for critical events like volatility crossing the 90th percentile, dropping below the 10th, or switching between expansion and contraction.
🎨Visualization
Volatility Cone: Shaded bands projected onto the future price axis, representing the probable price range at different statistical confidence levels (e.g., 75th-90th percentile).
Color-Coded Volatility Line: The primary volatility plot dynamically changes color (e.g., red for high, green for low) to reflect the current volatility regime, providing instant context.
Historical Percentile Bands: Horizontal lines plotted across the indicator pane mark the key percentile levels, showing how current volatility compares to the past.
On-Chart Labels: Clear labels automatically display the current volatility reading, its percentile rank, the detected regime, and trend (Expanding/Contracting).
📖Usage Guidelines
Setting Categories
Short-term Lookback: Default: 10, Range: 5-50. Controls the most sensitive volatility calculation.
Medium-term Lookback: Default: 21, Range: 10-100. The primary input for the current volatility reading.
Long-term Lookback: Default: 63, Range: 30-252. Provides a baseline for long-term market character.
Percentile Lookback Period: Default: 252, Range: 100-1000. Defines the period for historical ranking; 252 represents one trading year.
Forward Projection Days: Default: 21, Range: 5-63. Determines how many bars into the future the cone is projected.
✅Best Use Cases
Breakout Trading: Identify periods of deep consolidation when volatility falls to low percentile ranks (e.g., below 25th) and begins to expand, signaling a potential breakout.
Mean Reversion Strategies: Target trades when volatility reaches extreme high percentile ranks (e.g., above 90th), as these periods are often unsustainable and lead to contraction.
Options Strategy: Use the cone’s projected upper and lower bounds to help select strike prices for strategies like iron condors or straddles.
Risk Management: Widen stop-losses and reduce position sizes when the indicator signals a transition into a ‘High’ volatility regime.
⚠️Limitations
Probabilistic, Not Predictive: The cone represents a statistical probability, not a guarantee of future price action. Extreme, unpredictable news events can drive prices outside the cone.
Lagging by Nature: All calculations are based on historical price data, meaning the indicator will always react to, not pre-empt, market changes.
Non-Directional: The indicator forecasts the *magnitude* of future moves, not the *direction*. It should be paired with a directional analysis tool.
💡What Makes This Unique
Forward Projection: Its primary distinction is projecting a data-driven, statistical forecast of future volatility, which standard oscillators do not do.
Contextual Analysis: It doesn’t just provide a number; it tells you what that number means through percentile ranking and automated regime classification.
🔬How It Works
1. Data Calculation:
The indicator first calculates the logarithmic returns of the asset’s price. It then computes the annualized standard deviation of these returns over short, medium, and long-term lookback periods to generate realized volatility readings.
2. Percentile Ranking:
Using a 252-day lookback, it analyzes the history of the medium-term volatility and determines the values that correspond to the 10th, 25th, 50th, 75th, and 90th percentiles. This builds a statistical map of the asset’s volatility behavior.
3. Cone Projection:
Finally, it takes these historical percentile values and projects them forward in time, calculating the potential upper and lower price bounds based on what would happen if volatility were to run at those levels over the next 21 days.
💡Note:
The Volatility Cone Forecaster is most effective on daily and weekly charts where statistical volatility models are more reliable. For lower timeframes, consider shortening the lookback periods. Always use this indicator as part of a comprehensive trading plan that includes other forms of analysis.
Sigma Reversal Print [FxScripts]Indicator Overview
The Sigma Reversal Print is a powerful tool designed for traders who like to trade reversal strategies plus trend traders looking to enter on strong pullbacks. It integrates advanced price action with volume analysis, highlighting areas where a trend reversal or pullback may be in progress, providing insights into where markets may be exhausted or about to surge.
Key Features and Functionality
Reversal Trading: Tailored primarily for reversal traders, the Sigma Reversal Print highlights zones where the market is likely to change direction. While this approach offers significant potential, it inherently carries a degree of risk due to the precision required in predicting market turning points. The Sigma Reversal Print uses advanced methodology to forecast such reversals with a high degree of accuracy.
Signal Generation Based on Reversal and Pullback Zones: The Reversal Print generates signals when price enters specific conditions, representing exhaustion followed by a change in order flow. These conditions allow the indicator to filter out low-probability signals and focus on those with higher potential for a trend change.
Settings
Sensitivity Control: The sensitivity setting allows traders to adjust the strength of the pattern required for a signal to be generated. The scale ranges from 2-10 with higher sensitivity demanding more confirmation, leading to fewer, generally more reliable, signals however backtesting is highly recommended. Adjusting the sensitivity enables traders to balance early entries with signal accuracy, accommodating both aggressive and more conservative strategies.
Customizable Length: The length setting allows users to fine-tune the calculation period, adjusting the indicator’s responsiveness to overall market conditions. Adjusting length allows the Reversal Print to adapt to the user’s trading style and timeframe of choice. Similar to the sensitivity control, the scale ranges from 2-10 with a higher length demanding more confirmation. This can lead to fewer, often more reliable, signals however, once again, backtesting is highly recommended.
Advanced Filters
Opening Gap Filter: Turning this on allows the system to avoid painting false signals that can be triggered by the daily or weekly opening gap at market open. This setting is toggled on by default.
Price Filter: This filter applies an additional weighted price action algorithm to the signal being painted thus further filtering out weaker signals. Warning dots will still paint however the larger break arrow will no longer paint if the filter is triggered. This setting is toggled on by default.
Volume Filter: This filters out low volume entries which have a lower probability of turning into successful trades. Variable from 1-10 with 1 being the most lenient and 10 the most stringent. Warning dots will still paint however the larger break arrow will no longer paint if the filter is triggered. This setting is toggled on by default.
Alerts
Configure alerts and receive notifications when the first warning dot in a sequence appears (the series of dots seen on the chart) and again when a breakpoint is triggered (the larger arrow on the chart). This feature is particularly beneficial for traders who like to monitor multiple instruments or prefer not to stare at a screen all day.
Performance and Optimization
Backtesting Results: The Reversal Print has undergone extensive backtesting across various instruments, timeframes and market conditions, demonstrating strong performance in identifying reversal points, particularly during volatile or overextended price movements. User backtesting is strongly encouraged as it allows traders to optimize settings for their preferred instruments and timeframes.
Optimization for Diverse Markets: The Reversal Print can be used on crypto, forex, indices, commodities or stocks. The Reversal Print's algorithmic foundation ensures consistent performance across a variety of instruments. Key settings such as Sensitivity and Length will require adjustment based on the volatility and characteristics of each market.
Educational Resources and Support
Users of the Sigma Reversal Print benefit from comprehensive educational resources and full access to FxScripts Support. This ensures traders can maximize the potential of the Reversal Print and other tools in the Sigma Indicator Suite by learning best practices and gaining insights from an experienced team of traders.
Summary
The Reversal Print is a powerful and adaptable tool for reversal and pullback traders, combining statistical analysis and price action to identify high-probability turning points. Its advanced customization options, flexible controls and integration with the Sigma Indicator Suite offer significant advantages over standard indicators. By pinpointing precise entry points, the Reversal Print enables traders to make informed trading decisions with confidence.
