VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios
Summary
This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry.
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Overview
Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry.
• Anchors define the swing’s Low (L), High (H), and bar count (N).
• The user manually enters the VPOC (highest-volume price).
• The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement.
The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments.
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How to Use
1. Select a Swing
- Place Anchor A and Anchor B to define the swing’s Low, High, and bar count.
2. Find the VPOC
- Apply TradingView’s Fixed Range Volume Profile tool over the same swing.
- Identify the Point of Control (POC) — the price level with the highest traded volume.
3. Enter the VPOC
- Manually input the POC into the indicator settings.
4. Review Outputs
- The table will display candidate ratios expressed mainly as price-per-bar values.
5. Apply in Practice
- Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings.
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Outputs
Swing & Inputs
• Bars (N): total bar count of the swing.
• Low (L): swing low price.
• High (H): swing high price.
• ΔP = H − L: price range.
• Mid = (L + H) ÷ 2: midpoint price.
• VPOC (V): user-entered highest-volume price.
• Base slope s0 = ΔP ÷ N: average change per bar.
• π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry.
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VPOC Harmony Ratios (L, H, V, N)
• λ = (V − L) ÷ ΔP: normalized VPOC position within the range.
• R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment.
• s1 = (V − L) ÷ N: slope from Low → VPOC.
• s2 = (H − V) ÷ N: slope from VPOC → High.
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Blended Means (s1, s2)
These combine the two segment slopes in different ways:
• HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope.
• GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally.
• RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope.
• L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined.
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Slope Blends
• Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²)
• Tilted slope: s_tilt = s0 × (0.5 + λ)
• Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = −
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Curvature & Liquidity Extensions
• π-arc × λ: s_arc = sπ × λ
• Liquidity-π: s_piV = sπ × (V ÷ Mid)
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Scale-Normalized Families
With k = sqrt(H ÷ L):
• k (scale factor) = sqrt(H ÷ L)
• s_comp = s0 ÷ k: compressed slope candidate
• s_exp = s0 × k: expanded slope candidate
• Exponentiated blends:
- s_kλ = s0 × k^(2λ−1)
- s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618
- s_√2λ = s0 × (√2)^(2λ−1)
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Practical Application
All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement.
These values are designed for:
• Chart compression settings
• Testing harmonic alignments across swings
• Liquidity-aware scaling experiments
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Analisi trend
Bullish 1st Breakaway FVG Stop Loss
This indicator provides a defined 3-tier stop loss placement when you want to trade the 1st Bullish Breakaway FVG strategy. The Bullish Breakaway Dual Session FVG indicator is an independent indicator that track all bullish breakaway candles, however this one only tracks the very 1st breakaway candle with a stop loss visual cue.
Introduction of Bullish Breakaway Consolidated FVG:
Inspired by the FVG Concept:
This indicator is built on the Fair Value Gap (FVG) concept, with a focus on Consolidated FVG. Unlike traditional FVGs, this version only works within a defined session (e.g., ETH 18:00–17:00 or RTH 09:30–16:00).
Bullish consolidated FVG & Bullish breakaway candle
Begins when a new intraday low is printed. After that, the indicator searches for the 1st bullish breakaway candle, which must have its low above the high of the intraday low candle. Any candles in between are part of the consolidated FVG zone. Once the 1st breakaway forms, the indicator will shades the candle’s range (high to low).
Session Reset: Occurs at session close.
Choose your own session: use 930 to 1615 for RTH, 1800 to 1615 for ETH. (New York Time Zone)
Repaint Behavior:
If a new intraday (or intra-session) low forms, earlier breakaway patterns are wiped, and the system restarts from the new low.
Product Optimization:
This indicator is designed for CME future product with New York time zone. If you want to trade other products, please adjust your own time session.
Entry:
Long after the 1st Bullish Breakaway Candle in your active session.
However, best position of long is executed by your own trading skill and edge.
Stop Loss: ξ
ξ: This is the 1st stop loss, it is 1 equal size of the breakaway candle below the low.
ξξ: This is the 2nd stop loss, it is 2 equal sizes of the breakaway candle below the low.
L: This is the 3rd stop loss, it is the intraday session low.
Stop loss calculation:
Assuming you enter at the high of the breakaway candle, the SL number is shown as the high minus the stop loss placement.
Last Mention:
If you don't see anything in the indicator, adjust your session to an active session only, and use Tradingview replay function. This indicator is a live indicator with repainting mechanism.
Market Breadth (NIFTY50)This market breadth indicator good to indentified short term market sentiment.
Androlog DailyWeeklyMonthlyAndrologLevel — Daily / Weekly / Monthly Levels
This indicator visualizes the Daily, Weekly, and Monthly key levels introduced by Daniel. It’s intentionally minimal and fast, focused on clean higher‑timeframe references for intraday and daily trading.
What it shows:
Daily open and prior‑day high/low
Weekly and Monthly “open”-based levels
Optional labels for quick price readouts
Controls
Show only new levels or keep/extend old ones
Choose whether levels extend to the right
Alerts
Optional alert conditions for level touches (per your settings)
Uses confirmed higher‑timeframe bars; no historical repaint
Customisable Asia & London Session High/Low (UTC+1)london + asia high / low
can customise however you like. its not perfect but saves time
Alexmoku Genesis v0.2.6 — Runtime BulletproofAlexmoku Genesis v0.2.6 – Reinventing Ichimoku with Precision and Intelligence
Built by Alex • Engineered for traders who demand more than lagging clouds
🔬 Overview
Alexmoku Genesis is a ground-up reimagining of the traditional Ichimoku system — retaining its philosophical foundations of harmony, balance, and structure, while infusing it with modern logic, advanced volatility modeling, and AI-aligned signal classification.
This is not your grandfather’s Ichimoku. Genesis transforms it into a forward-sensing, volatility-aware system that adapts in real time and guides discretionary and algorithmic traders alike with smarter signals, predictive structure, and built-in trade intelligence.
⚙️ Core Enhancements
📐 Volatility-Responsive Smoothing
Tenkan-sen and Kijun-sen lengths are dynamically adjusted based on recent price volatility (ATR-based).
Prevents overreaction in choppy markets and improves responsiveness during strong trends.
🌀 Adaptive Cloud Projection
Span A and Span B are still projected 52 periods forward — but cloud width adapts to market rhythm, not just static values.
🕵️ Enhanced Chikou Span (CKS+)
Chikou logic is upgraded to emphasize structure interaction, not just simple price overlay.
Useful for identifying support/resistance echoes and divergence validation.
🌐 Multi-Timeframe Cloud Awareness (Genesis Core)
Internal alignment checks between higher and lower timeframe Kumo positioning.
Future module support for overlaying MTF clouds.
🔖 Signal Classifier Engine (Experimental)
Each major structure event is tagged with signal intent:
📦 prep
🚀 launch
🔁 reversion
🪤 trap
Enables faster discretionary reads or future automation.
🧠 Trust Score Logic (Coming soon)
Future versions will assign numerical trust scores (1–10) to trade setups based on confluence.
🧰 Settings
🔧 Volatility Scaling Factor – Adjusts how reactive the indicator is to volatility. Default: 300.
🌫 Displacement (Kumo) – Cloud projection forward. Default (and required): 52.
⛅ Cloud Display Toggle – Show/hide Kumo visuals without affecting logic.
⚡️ Future expansion modules already scaffolded (MTF overlays, color-coded signal classifiers, Trust Score engine, etc.)
🧘 Philosophy Behind the System
"This isn’t just about catching runners — it’s about becoming the kind of person who can trade with clarity, peace, and precision."
Alexmoku Genesis reflects the W.E.A.L.T.H. System's holistic philosophy:
Wealth
Engineered
Algorithmic
Leveraged
Trading
Holistically
Trading isn't just a strategy. It's a mirror. Genesis is designed to train both your execution and your awareness.
⚠️ Disclaimer
This tool is designed for experienced technical traders and is still in active development. Use judgment and proper risk management. This is not financial advice.
Today’s Key Time Markers (Last 6 Only)updated version of key markets. london session asia and new york
Inefficient Candle TrackerThe Inefficient Candle Tracker indicator highlights large, inefficient price moves and plots their midpoints as Squared Up Points.
Detects large candles using Percentile or ATR multiple methods
Draws dynamic dashed lines at candle midpoints until price “squares them up”
Built-in alerts for new SUP creation and when levels are touched
Great for spotting unfinished business in price action, confluence with support/resistance, and potential return levels.
Corner Badge: PDC,Open,VWAP & Current + Delta to PDCSimple corner badge highlighting previous day's close, opening price, vwap and current price. Calculates delta to PDC and shades green or red if above or below PDC
We know this is all on the chart, but the data is easily accesible, offers a basic heat map and shows quickly whether opening is gapped up or down vs PDC when scrolling a watchlist.
Other two will just confirm trend or reversal.
An all green box means Price gapped up from PDC, VWAP and Current Price and above PDC.
Possible continuation?
Green, Red Red, reveals gap up followed by reversal or vice versa.
Nothing fancy. It's a start.
Might edit or delete after trying for a while.
Volume Spikes + Daily VWAP SD BandsVolume Spikes + Daily VWAP SD Bands
This indicator combines volume spike detection to help traders identify potential absorption zones with daily VWAP and standard deviation bands , key price levels, continuation opportunities, and possible institutional bias.
Features:
Volume Spike Detection
Highlights candles with unusually high volume relative to a configurable SMA.
Optional filters:
Local highs/lows only (Only Use Valid Highs & Lows)
Candle shapes: Hammer / Shooter only
Candle color match: bullish spikes on green, bearish on red
Plots small circles above/below bars for bullish and bearish volume spikes.
Alerts available for both bullish and bearish spikes.
Interpretation: Volume spikes at local highs/lows can indicate absorption, where one side absorbs aggressive buying/selling pressure.
Daily VWAP
Calculates volume-weighted average price (VWAP) for the current day.
Optionally shows previous day’s VWAP for reference.
Plot lines are customizable with optional circles on lines for visual clarity.
Labels on the last bar show exact VWAP values.
Institutional Bias Insight: Price above both current and previous VWAPs may indicate bullish positioning; price below both VWAPs may indicate bearish positioning. Many professional traders consider this a clue to institutional bias, but it’s not guaranteed. Always confirm with volume, delta, or orderflow analysis.
Standard Deviation Bands
Optional x1 and x2 SD bands around the daily VWAP.
Visual fill between bands shows price volatility zones.
Can be used to identify potential support/resistance or absorption zones.
Use Case: Price bounces off first SD band may indicate continuation signals, especially when volume spikes occur at those levels.
Customizable Visuals
Colors for bullish and bearish volume spikes
VWAP and SD band colors and thickness
Optional circles and filled bands for better readability
Alerts
Bullish / Bearish Volume Spikes
Supports TradingView alert system for automated notifications
Advanced Use Cases:
Combine with Cumulative Delta or Orderflow tools to confirm true absorption zones.
Identify high-volume rejection candles signaling possible trend continuation.
Use VWAP positioning relative to price to assess potential institutional bias, keeping in mind it is probabilistic, not guaranteed.
Visualize intraday VWAP levels and volatility with SD bands for better trade timing.
Settings: Fully customizable, including volume multiplier, SMA length, session filter, candle shape, color options, and VWAP/SD display preferences.
Prev Day Close Line + Label — White Text / Royal Blue (v6)Previous Day Close line with clear labeling.
- Gap up vs PDC
- Gap down vs PDC
Helps analyze what yesterday attempted to do helps to confirm whether the attempt was successful.
Static OHLC Market HoursStatic OHLC this can be used during market hours to have open high low close of yesterday and the day before yesterday!
This can give strong support & resistance regions!
Trend Display Table (with Change Alerts)📌 Indicator: Trend Display Table (with Change Alerts)
This indicator helps identify trend direction based on a 15-minute 20 SMA compared against a 10 EMA applied to that SMA.
Trend Logic:
Bullish → 20 SMA crosses above 10 EMA (on SMA values)
Bearish → 20 SMA crosses below 10 EMA (on SMA values)
Neutral → No crossover (trend continues from previous state)
Display:
A compact trend table appears on the chart (top-right), showing the current trend with customizable colors, font size, and background.
Alerts:
Alerts are triggered only when the trend changes (from Bullish → Bearish or Bearish → Bullish).
This prevents repeated alerts on every bar.
✅ Useful for:
Confirming higher timeframe trend bias
Filtering trades in choppy markets
Getting notified instantly when the trend flips
Enhanced EMA Crossover with Supertrend + Ribbon + Multi TFThe indicator has 4 core indicators in 1, the supertrend, the 2ema crossover, the moving average ribbon and a multi-timeframe trend indicator. I have modified the code for better visuals, all the indicators are fully customizable for better visuals and trend identification. Specially the 2 ema crossover indicator ribbon should guide you in the direction of the overall trend in different timeframes. The white dots were added to the real price close on everu candle , it is very usefull visually to see exactly where the price is closing specially when using heiken ashi candles. The small arrows on every candle should guide you in the direction of the overall trend when adjusting the 2 ema crossover lengths, the bigger arrow plots on the first candle only when the 2 ema crossover happens to either direction, using the supertrend indicator with the moving averages will also help you keep in the right trend direction.
Static OHLC Static OHLC,
This can be applied out of market hours to have static lines on OHLC,
This can act as strong support and resistance regions
Daily High/Low (15m) + EMA Pre-Market H/L + ORBStraightforward:
I built a swing-trading indicator with ChatGPT that plots 15-minute highs and lows, draws pre-market high/low lines, and adds a 15-minute opening-range breakout feature.
Technical:
Using ChatGPT, I developed a swing-trade indicator that calculates 15-minute highs/lows, overlays pre-market high and low levels, and includes a 15-minute Opening Range Breakout (ORB) module.
Promotional:
I created a ChatGPT-powered swing-trading indicator that maps 15-minute highs/lows, marks pre-market levels, and features a 15-minute Opening Range Breakout for clearer entries.
Trojan Cycle: Dip & Profit Hunter📉 Crypto is changing. Your signals should too.
This script doesn’t try to outguess price — it helps you track capital rotation and flow behavior in alignment with the evolving macro structure of the digital asset market.
Trojan Cycle: Dip & Profit Hunter is a signal engine built to support and validate the capital rotation models outlined in the Trojan Cycle and Synthetic Rotation theses — available via RWCS_LTD’s published charts
It is not a classic “buy low, sell high” tool. It is a structural filter that uses price/volume statistics to surface accumulation zones, synthetic traps, and macro context shifts — all aligned with the institutionalization of crypto post-2024.
🧠 Purpose & Value
Crypto no longer follows the retail-led, halving-driven pattern of 2017 or 2021.
Instead, institutional infrastructure, regulatory filters, and equity-market Trojan horses define the new path of capital.
This tool helps you visualize that path by interpreting behavior through statistical imbalances and real-time momentum signals.
Use it to:
Track where capital is accumulating or exiting
Identify signals consistent with true cycle rotation (vs. synthetic traps)
Validate your macro view with real-time statistical context
🔍 How It Works
The engine combines four signal layers:
1. Z-Score Logic
- Measures how far price and volume have deviated from their mean
- Detects dips, blowoffs, and exhaustion zones
2. Percentile Logic
- Compares current price and volume to historical rank distribution
- Flags statistically rare conditions (e.g. bottom 10% price, top 90% volume)
3. Combined Context Engine
- Integrates both models to generate one of 36 unique output states
- Each state provides a labeled market context (e.g., 🟢 Confluent Buy, 🔴 Confluent Sell, 🧨 Synthetic Trap )
4. Momentum Spread & Divergence
- Measures whether price is leading volume (trap risk) or volume is leading price (accumulation)
- Outputs intuitive momentum context with emoji-coded alerts
📋 What You See
🧠 Contextual Table UI with key Z-Scores, percentiles, signals, and market commentary
🎯 Emoji-coded signals to quickly grasp high-probability setups or risk zones
🌊 Optional overlays: price/volume divergence, momentum spread
🎨 Visual table customization (size, position) and chart highlights for signal clarity
🔔 Alert System
✅ Single dynamic alert using alert() that only fires when signal context changes
Prevents alert fatigue and allows clean webhook/automation integration
🧭 Use Cases
For macro cycle traders: Track where we are in the Trojan Cycle using statistical context
For thesis explorers: Use the 36-output signal map to match against your rotation thesis
For capital rotation watchers: Identify structural setups consistent with ETF-driven or compliance-filtered flow
For narrative skeptics: Avoid synthetic altseason traps where volume lags or flow dries up
🧪 Suggested Pairing for Thesis Validation
To use this tool as part of a thesis-confirmation framework , pair it with:
BTC.D — Bitcoin Dominance
ETH/BTC — Ethereum strength vs. Bitcoin
TOTALE100/ETH — Altcoin strength relative to ETH
RWCS_LTD’s published charts and macro cycle models
🏁 Final Note
Crypto has matured. So should your signals.
This tool doesn’t try to game the next 2 candles. It helps you understand the current phase in a compliance-filtered, institutionalized rotation model.
It’s not built for hype — it’s built for conviction.
Explore the thesis → Validate the structure → Trade with clarity.
🚨 Disclaimer
This script is not financial advice. It is an analytical tool designed to support market structure research and rotation thesis validation. Use this as part of a broader framework including technical structure, dominance charts, and macro data.
Daryl Guppy's Multiple Moving Averages - GMMAThe Guppy EMAs indicator (Daryl Guppy’s method) displays two groups of exponential moving averages (EMAs) on the chart:
Fast EMA group: 3, 5, 8, 10, 12, 15 periods (thinner, more responsive lines)
Slow EMA group: 30, 35, 40, 45, 50, 60 periods (thicker, smoother lines)
Color Logic:
Fast EMAs turn AQUA if all fast EMAs are in bullish alignment and slow EMAs are in bullish alignment.
Fast EMAs turn ORANGE if all fast EMAs are in bearish alignment and slow EMAs are in bearish alignment.
Otherwise, fast EMAs appear GRAY.
Slow EMAs turn LIME when in bullish order, RED when bearish, and remain GRAY otherwise.
The area between the outermost fast EMAs and slow EMAs is filled with a semi-transparent silver color for visual emphasis.
12AM NY Line + 12PM–3PM No Trade ZoneNew york time marked on daily basis with no trading zone where most manipulation takes place
Previous Days High & Low RTH Session by TenAM TraderPurpose:
This indicator plots the high and low levels of previous trading days’ Regular Trading Hours (RTH), helping traders identify key support and resistance zones based on historical price action.
How to Use / Strategy:
Designed as a super simple trading strategy:
Buy when price breaks above and confirms the previous day’s high.
Sell when price breaks below and confirms the previous day’s low.
Alerts notify you when price interacts with these levels, helping traders act on confirmed breakout opportunities rather than premature moves.
*Traders can also look for reversal opportunities if price breaks back through one of the levels.
Note: Make sure RTH (Regular Trading Hours) is turned on for the chart, as the indicator is based on RTH highs and lows.
Features:
Tracks previous days’ highs and lows.
Provides clear visual reference for support and resistance.
Simple, actionable strategy based on breakout confirmations and reversal plays.
Alerts for confirmed price breaks.
Disclaimer:
This indicator is for educational and informational purposes only. It does not provide financial advice. Trading involves risk, and past performance does not guarantee future results. Users trade at their own risk.
Polynomial Regression HeatmapPolynomial Regression Heatmap – Advanced Trend & Volatility Visualizer
Overview
The Polynomial Regression Heatmap is a sophisticated trading tool designed for traders who require a clear and precise understanding of market trends and volatility. By applying a second-degree polynomial regression to price data, the indicator generates a smooth trend curve, augmented with adaptive volatility bands and a dynamic heatmap. This framework allows users to instantly recognize trend direction, potential reversals, and areas of market strength or weakness, translating complex price action into a visually intuitive map.
Unlike static trend indicators, the Polynomial Regression Heatmap adapts to changing market conditions. Its visual design—including color-coded candles, regression bands, optional polynomial channels, and breakout markers—ensures that price behavior is easy to interpret. This makes it suitable for scalping, swing trading, and longer-term strategies across multiple asset classes.
How It Works
The core of the indicator relies on fitting a second-degree polynomial to a defined lookback period of price data. This regression curve captures the non-linear nature of market movements, revealing the true trajectory of price beyond the distortions of noise or short-term volatility.
Adaptive upper and lower bands are constructed using ATR-based scaling, surrounding the regression line to reflect periods of high and low volatility. When price moves toward or beyond these bands, it signals areas of potential overextension or support/resistance.
The heatmap colors each candle based on its relative position within the bands. Green shades indicate proximity to the upper band, red shades indicate proximity to the lower band, and neutral tones represent mid-range positioning. This continuous gradient visualization provides immediate feedback on trend strength, market balance, and potential turning points.
Optional polynomial channels can be overlaid around the regression curve. These three-line channels are based on regression residuals and a fixed width multiplier, offering additional reference points for analyzing price deviations, trend continuation, and reversion zones.
Signals and Breakouts
The Polynomial Regression Heatmap includes statistical pivot-based signals to highlight actionable price movements:
Buy Signals – A triangular marker appears below the candle when a pivot low occurs below the lower regression band.
Sell Signals – A triangular marker appears above the candle when a pivot high occurs above the upper regression band.
These markers identify significant deviations from the regression curve while accounting for volatility, providing high-quality visual cues for potential entry points.
The indicator ensures clarity by spacing markers vertically using ATR-based calculations, preventing overlap during periods of high volatility. Users can rely on these signals in combination with heatmap intensity and regression slope for contextual confirmation.
Interpretation
Trend Analysis :
The slope of the polynomial regression line represents trend direction. A rising curve indicates bullish bias, a falling curve indicates bearish bias, and a flat curve indicates consolidation.
Steeper slopes suggest stronger momentum, while gradual slopes indicate more moderate trend conditions.
Volatility Assessment :
Band width provides an instant visual measure of market volatility. Narrow bands correspond to low volatility and potential consolidation, whereas wide bands indicate higher volatility and significant price swings.
Heatmap Coloring :
Candle colors visually represent price position within the bands. This allows traders to quickly identify zones of bullish or bearish pressure without performing complex calculations.
Channel Analysis (Optional) :
The polynomial channel defines zones for evaluating potential overextensions or retracements. Price interacting with these lines may suggest areas where mean-reversion or trend continuation is likely.
Breakout Signals :
Buy and Sell markers highlight pivot points relative to the regression and volatility bands. These are statistical signals, not arbitrary triggers, and should be interpreted in context with trend slope, band width, and heatmap intensity.
Strategy Integration
The Polynomial Regression Heatmap supports multiple trading approaches:
Trend Following – Enter trades in the direction of the regression slope while using the heatmap for momentum confirmation.
Pullback Entries – Use breakouts or deviations from the regression bands as low-risk entry points during trend continuation.
Mean Reversion – Price reaching outer channel boundaries can indicate potential reversal or retracement opportunities.
Multi-Timeframe Alignment – Overlay on higher and lower timeframes to filter noise and improve entry timing.
Stop-loss levels can be set just beyond the opposing regression band, while take-profit targets can be informed by the distance between the bands or the curvature of the polynomial line.
Advanced Techniques
For traders seeking greater precision:
Combine the Polynomial Regression Heatmap with volume, momentum, or volatility indicators to validate signals.
Observe the width and slope of the regression bands over time to anticipate expanding or contracting volatility.
Track sequences of breakout signals in conjunction with heatmap intensity for systematic trade management.
Adjusting regression length allows customization for different assets or timeframes, balancing responsiveness and smoothing. The combination of polynomial curve, adaptive bands, heatmap, and optional channels provides a comprehensive statistical framework for informed decision-making.
Inputs and Customization
Regression Length – Determines the number of bars used for polynomial fitting. Shorter lengths increase responsiveness; longer lengths improve smoothing.
Show Bands – Toggle visibility of the ATR-based regression bands.
Show Channel – Enable or disable the polynomial channel overlay.
Color Settings – Customize bullish, bearish, neutral, and accent colors for clarity and visual preference.
All other internal parameters are fixed to ensure consistent statistical behavior and minimize potential misconfiguration.
Why Use Polynomial Regression Heatmap
The Polynomial Regression Heatmap transforms complex price action into a clear, actionable visual framework. By combining non-linear trend mapping, adaptive volatility bands, heatmap visualization, and breakout signals, it provides a multi-dimensional perspective that is both quantitative and intuitive.
This indicator allows traders to focus on execution, interpret market structure at a glance, and evaluate trend strength, overextensions, and potential reversals in real time. Its design is compatible with scalping, swing trading, and long-term strategies, providing a robust tool for disciplined, data-driven trading.
Low Volatility Breakout in Trend
█ OVERVIEW
"Low Volatility Breakout in Trend" is a technical analysis tool that identifies periods of low-volatility consolidation within an ongoing trend and signals potential breakouts aligned with the trend's direction. The indicator detects trends using a simple moving average (SMA) of price, identifies consolidation zones based on the size of candle bodies, and displays the percentage change in volume (volume delta) at the breakout moment.
█ CONCEPTS
The core idea of the indicator is to pinpoint moments where traders can join an ongoing trend by capitalizing on breakouts from consolidation zones, supported by additional information such as volume delta. It provides clear visualizations of trends, consolidation zones, and breakout signals to facilitate trading decisions.
Why Use It?
* Breakout Identification: The indicator locates low-volatility consolidation zones (measured by the size of individual candle bodies, not the price range of the consolidation) and signals breakouts, enabling traders to join the trend at key moments.
* Volume Analysis: Displays the percentage change in volume (delta) relative to its simple moving average, providing insight into market activity rather than acting as a signal filter.
* Visual Clarity: Colored trend lines, consolidation boxes (drawn only after the breakout candle closes, not on subsequent candles), and volume delta labels enable quick chart analysis.
* Flexibility: Adjustable parameters, such as the volatility window length or SMA period, allow customization for various trading strategies and markets.
How It Works
* Trend Detection: The indicator calculates a simple moving average (SMA) of price (default: based on the midpoint of high/low) and creates dynamic trend bands, offset by a percentage of the average candle height (band scaling). A price above the upper band signals an uptrend, while a price below the lower band indicates a downtrend. Trend changes occur not when the price crosses the SMA but when it crosses above the upper band or below the lower band (offset by the average candle height multiplied by the scaling factor).
* Consolidation Identification: Identifies low-volatility zones when the candle body size is smaller than the average body size over a specified period (default: 20 candles) multiplied by a volatility threshold — the maximum allowable body size as a percentage of the average body (e.g., 2 means the candle body must be less than twice the average body to be considered low-volatility).
* Breakout Signals: A breakout occurs when the candle body exceeds the volatility threshold, is larger than the maximum body in the consolidation, and aligns with the trend direction (bullish in an uptrend, bearish in a downtrend).
* Visualization: Draws a trend line with a gradient, consolidation boxes (appearing only after the breakout candle closes, marking the consolidation zone), and volume delta labels. Optionally displays breakout signal arrows.
* Signals and Alerts: The indicator generates signals for bullish and bearish breakouts, including the volume delta percentage. Alerts are an additional feature that can be enabled for notifications.
Settings and Customization
* Volatility Window: Length of the period for calculating the average candle body size (default: 20).
* Volatility Threshold: Maximum candle body size as a percentage of the average body (default: 2).
* Minimum Consolidation Bars: Number of candles required for a consolidation (default: 10).
* SMA Length for Trend: Period of the SMA for trend detection (default: 100).
* Band Scaling: Offset of trend bands as a percentage of the average candle height (default: 250%), determining the distance from the SMA.
* Visualization Options: Enable/disable consolidation boxes (Show Consolidation Boxes, drawn after the breakout candle closes), volume delta labels (Show Volume Delta Labels), and breakout signals (Show Breakout Signals, e.g., triangles).
* Colors: Customize colors for the trend line, consolidation boxes, and volume delta labels.
█ OTHER SECTIONS
Usage Examples
* Joining an Uptrend: When the price breaks out of a consolidation in an uptrend with a volume delta of +50%, open a long position; the signal is stronger if the breakout candle surpasses a local high.
* Avoiding False Breakouts: Ignore breakout signals with low volume delta (e.g., below 0%) and combine the indicator with other tools (e.g., support/resistance levels or oscillators) to confirm moves in low-activity zones.
Notes for Users
* On markets that do not provide volume data, the indicator will not display volume delta — disable volume labels and enable breakout signals (e.g., triangles) instead.
* Adjust parameters to suit the market's characteristics to minimize noise.
* Combine with other tools, such as Fibonacci levels or oscillators, for greater precision.
Zones + Trendlines (raphii7)Here you go — in English, simple and clear:
Designed for a clear read of worked zones and trend paths on any timeframe.
-Zones: rectangles where price has touched multiple times = support/resistance zones.
-Trendlines: lines that connect two highs (H–H) or two lows (B–B), with a dotted extension.
Settings
Zones
-Minimum candles between highs/lows (minSepBars): minimum spacing between pivots. Larger = cleaner pivots.
-Show highs/lows (showHBZones): shows small H/B labels on the chart.
-Max highs/lows used (maxPivotsUsed): cap on stored pivots.
-Minimum contacts in the zone (minContacts): minimum touches required to draw a zone.
-Zone size unit (sizeMode):
-Pips = fixed thickness.
-ATR = thickness adapts to volatility.
-Zone size (zoneSize): zone thickness (in Pips or ATR).
-Max candles back (lookbackBars): how far back to scan.
-Max zones to draw (maxZonesDraw): prevents too many rectangles.
-Border / fill color (borderCol / fillCol): zone styling.
Trendlines
-Pivot Length (pivotLen): “size” of the pivot. Higher = more reliable lines, fewer of them.
-Pivot Type (pivotType):
Normal = cleaner, slower.
Fast = very reactive, can move more.