Bollinger Keltner Squeeze Indicator (BBKC)Bollinger Keltner Squeeze Indicator (BBKC)This single-pane indicator combines the power of Bollinger Bands (BB) and Keltner Channels (KC) to accurately identify periods of low volatility compression—the famous Squeeze—which often precedes large, directional moves.Designed for traders utilizing Accumulation, Manipulation, Distribution (AMD) strategies, this tool makes spotting the 'Accumulation' phase simple and visually clear, perfect for high BTC Beta equities or futures markets like MES and MNQ.Key Features:Clear Squeeze Visualization:The background of the main chart is shaded Orange when the Squeeze is active (BB is inside KC). This immediately highlights periods of extreme compression.A simple Red/Green Dot below the chart confirms the Squeeze state (Red = Squeeze ON, Green = Squeeze OFF).Momentum Histogram:A built-in momentum oscillator smooths price action and guides the anticipated direction of the breakout.Teal/Orange Bars: Indicate momentum direction while the Squeeze is active (building pressure).Bright Green/Red Bars: Indicate momentum direction after the Squeeze has broken (expansion/breakout).How to Find Maximum Volatility Compression (The "Tightest" Squeeze)To align this indicator with a strategy focused on catching only the most extreme volatility compression—the key to those explosive moves—traders should adjust the Keltner Channel Multiplier setting.Setting Name: KC Multiplier (ATR)Default Value: 1.5Recommended Adjustment: To filter for only the absolute tightest squeezes (where price is least volatile), decrease this multiplier value, typically down to 1.25 or even 1.0.By lowering the KC Multiplier (ATR), you narrow the Keltner Channel boundaries. This requires the Bollinger Bands to compress even further to fit inside, ensuring the indicator only signals the Squeeze state during moments of truly minimal volatility, setting you up for maximum opportunity.
Volatilty
⚪ Liquidity Spike Marker
Description:
The Liquidity Spike Marker indicator helps to identify abnormal bursts of liquidity in the market. The logic is based on comparing the product of the volume by the minimum candle price (Volume × Low) with the threshold value set by the user.
When the value exceeds the threshold, a white triangle appears under the candle, indicating a possible influx of liquidity. This can help traders pay attention to the key points where large participants may enter the market.
Features:
Displays a placemark (⚪ white triangle) when the threshold is exceeded.
Configurable parameter Volume × Low Threshold.
The ability to set an alert for automatic notification.
A lightweight and minimalistic tool without unnecessary elements.
Note: The indicator is not a trading recommendation. Use it in combination with your own trading system and other analysis methods.
Nifty Trend vs Range (Final)This indicator is designed to help you quickly identify whether the Nifty market is trending, ranging, or preparing for a breakout by combining three volatility and trend-strength measures:
India VIX (Volatility Index)
ADX (Average Directional Index)
ATR (Average True Range)
It creates a Trend vs Range Decision Matrix that categorizes the market into actionable states such as Range – Quiet, Breakout Watch, Trend – Smooth, Trend – Confirmed, Trend – Volatile, or Choppy / Noisy.
🔑 How it Works
India VIX (Market Volatility)
Pulled directly from NSE:INDIAVIX (or your chosen symbol).
VIX thresholds are defined:
Below VIX Low → Calm market (often ranges).
Between VIX Low & High → Neutral/moderate volatility.
Above VIX High → High volatility (potential big moves or choppiness).
VIX can be scaled and plotted in the same pane with ADX/ATR, or shown separately with a companion script.
ADX (Trend Strength)
Custom calculation (Wilder’s smoothing, not built-in ta.adx), to ensure more consistent results.
Thresholds (auto-tuned by timeframe if enabled):
Low ADX → Weak/no trend, sideways.
High ADX → Strong directional trend.
ATR (Volatility Expansion)
ATR compared to a moving average of ATR detects whether volatility is rising or flat.
Used as confirmation for breakouts or fading moves.
🧠 Market State Logic
The script combines the three signals into an interpretable market state:
Range – Quiet → VIX low, ADX low, ATR flat
Trend – Smooth → VIX low, ADX high
Breakout Watch → VIX neutral, ADX low, ATR rising
Trend – Confirmed → VIX neutral, ADX high, ATR rising
Choppy / Noisy → VIX high, ADX low, ATR rising
Trend – Volatile → VIX high, ADX high, ATR rising
Neutral → fallback if conditions don’t match
Each state is color-coded with background shading and displayed as a persistent label with key metrics (VIX, ADX, ATR).
⚙️ Features
✅ Intraday Auto-Tuning
ADX/ATR thresholds automatically adjust depending on chart timeframe (5m, 15m, etc.).
✅ Scalable VIX Plotting
Option to overlay a scaled VIX line in the same pane or hide it if you use a separate VIX pane.
✅ Persistent State Label
Shows the current regime, timeframe, and key values. Updates every bar without stacking multiple labels.
✅ Alerts Ready
Alerts for each market regime can be set directly in TradingView.
✅ Background Coloring
Quick at-a-glance identification of current state.
🎯 How to Use
Ranging markets (low VIX, low ADX, flat ATR): Favor mean-reversion strategies like option selling, iron condors, or scalping.
Smooth trends (low VIX, high ADX): Favor directional trades with futures/options spreads.
Breakout Watch: Stay alert for possible trend initiation.
Confirmed trends (neutral VIX, high ADX, rising ATR): Ideal for momentum trading.
Volatile trends (high VIX, high ADX): Use caution, hedge positions, or trade with wider stops.
Choppy/Noisy (high VIX, low ADX): Avoid overtrading, expect false signals.
Multi Straddle-Strangle ChartThis powerful indicator is designed for options traders who want to visualize and track the combined premium of multiple straddle and strangle strategies in a single, dedicated pane.
Quickly analyze and compare up to five different options strategies at a glance, directly on your chart. This tool is perfect for monitoring volatility, tracking potential profits/losses on a position, and spotting key support and resistance levels based on option premiums.
Key Features:
Plot Up to 5 Strategies: Simultaneously plot any combination of up to 5 straddles or strangles.
Real-Time Data: Fetches live data for both Call and Put options to give you an up-to-the-second view of the combined price.
Dynamic Symbol Generation: Automatically detects the underlying symbol (e.g., NIFTY, BANKNIFTY, stocks) and builds the correct option symbols based on your input.
Customizable Inputs: Easily configure the expiry date, strike prices and line colors for each of the 5 lines.
In-Chart Summary Table: A clean and clear table in the corner of your chart provides a quick summary of each enabled strategy and its current price.
Important Note on Usage:
This tool requires you to input a strike price in all fields, even if you do not plan to use all five lines. This is necessary because of a fundamental rule in the Pine Script language: every input must have a constant, non-empty default value. The indicator is optimized to only fetch data for the lines you have explicitly enabled with the "Enable Line X" checkbox.
Cumulative Returns by Session [BackQuant]Cumulative Returns by Session
What this is
This tool breaks the trading day into three user-defined sessions and tracks how much each session contributes to return, volatility, and volume. It then aggregates results over a rolling window so you can see which session has been pulling its weight, how streaky each session has been, and how sessions relate to one another through a compact correlation heatmap.
We’ve also given the functionality for the user to use a simplified table, just by switching off all settings they are not interested in.
How it works
1) Session segmentation
You define APAC, EU, and US sessions with explicit hours and time zones. The script detects when each session starts and ends on every intraday bar and records its open, intraday high and low, close, and summed volume.
2) Per-session math
At each session end the script computes:
Return — either Percent: (Close−Open)÷Open×100(Close − Open) ÷ Open × 100(Close−Open)÷Open×100 or Points: (Close−Open)(Close − Open)(Close−Open), based on your selection.
Volatility — either Range: (High−Low)÷Open×100(High − Low) ÷ Open × 100(High−Low)÷Open×100 or ATR scaled by price: ATR÷Open×100ATR ÷ Open × 100ATR÷Open×100.
Volume — total volume transacted during that session.
3) Storage and lookback
Each day’s three session stats are stored as a row. You choose how many recent sessions to keep in memory. The script then:
Builds cumulative returns for APAC, EU, US across the lookback.
Computes averages, win rates, and a Sharpe-like ratio avgreturn÷avgvolatilityavg return ÷ avg volatilityavgreturn÷avgvolatility per session.
Tracks streaks of positive or negative sessions to show momentum.
Tracks drawdowns on cumulative returns to show worst runs from peak.
Computes rolling means over a short window for short-term drift.
4) Correlation heatmap
Using the stored arrays of session returns, the script calculates Pearson correlations between APAC–EU, APAC–US, and EU–US, and colors the matrix by strength and sign so you can spot coupling or decoupling at a glance.
What it plots
Three lines: cumulative return for APAC, EU, US over the chosen lookback.
Zero reference line for orientation.
A statistics table with cumulative %, average %, positive session rate, and optional columns for volatility, average volume, max drawdown, current streak, return-to-vol ratio, and rolling average.
A small correlation heatmap table showing APAC, EU, US cross-session correlations.
How to use it
Pick the asset — leave Custom Instrument empty to use the chart symbol, or point to another symbol for cross-asset studies.
Set your sessions and time zones — defaults approximate APAC, EU, and US hours, but you can align them to exchange times or your workflow.
Choose calculation modes — Percent vs Points for return, Range vs ATR for volatility. Points are convenient for futures and fixed-tick assets, Percent is comparable across symbols.
Decide the lookback — more sessions smooths lines and stats; fewer sessions makes the tool more reactive.
Toggle analytics — add volatility, volume, drawdown, streaks, Sharpe-like ratio, rolling averages, and the correlation table as needed.
Why session attribution helps
Different sessions are driven by different flows. Asia often sets the overnight tone, Europe adds liquidity and direction changes, and the US session can dominate range expansion. Separating contributions by session helps you:
Identify which session has been the main driver of net trend.
Measure whether volatility or volume is concentrated in a specific window.
See if one session’s gains are consistently given back in another.
Adapt tactics: fade during a mean-reverting session, press during a trending session.
Reading the tables
Cumulative % — sum of session returns over the lookback. The sign and slope tell you who is carrying the move.
Avg Return % and Positive Sessions % — direction and hit rate. A low average but high hit rate implies many small moves; the reverse implies occasional big swings.
Avg Volatility % — typical intrabars range for that session. Compare with Avg Return to judge efficiency.
Return/Vol Ratio — return per unit of volatility. Higher is better for stability.
Max Drawdown % — worst cumulative give-back within the lookback. A quick way to spot riskiness by session.
Current Streak — consecutive up or down sessions. Useful for mean-reversion or regime awareness.
Rolling Avg % — short-window drift indicator to catch recent turnarounds.
Correlation matrix — green clusters indicate sessions tending to move together; red indicates offsetting behavior.
Settings overview
Basic
Number of Sessions — how many recent days to include.
Custom Instrument — analyze another ticker while staying on your current chart.
Session Configuration and Times
Enable or hide APAC, EU, US rows.
Set hours per session and the specific time zone for each.
Calculation Methods
Return Calculation — Percent or Points.
Volatility Calculation — Range or ATR; ATR Length when applicable.
Advanced Analytics
Correlation, Drawdown, Momentum, Sharpe-like ratio, Rolling Statistics, Rolling Period.
Display Options and Colors
Show Statistics Table and its position.
Toggle columns for Volatility and Volume.
Pick individual colors for each session line and row accents.
Common applications
Session bias mapping — find which window tends to trend in your market and plan exposure accordingly.
Strategy scheduling — allocate attention or risk to the session with the best return-to-vol ratio.
News and macro awareness — see if correlation rises around central bank cycles or major data releases.
Cross-asset monitoring — set the Custom Instrument to a driver (index future, DXY, yields) to see if your symbol reacts in a particular session.
Notes
This indicator works on intraday charts, since sessions are defined within a day. If you change session clocks or time zones, give the script a few bars to accumulate fresh rows. Percent vs Points and Range vs ATR choices affect comparability across assets, so be consistent when comparing symbols.
Session context is one of the simplest ways to explain a messy tape. By separating the day into three windows and scoring each one on return, volatility, and consistency, this tool shows not just where price ended up but when and how it got there. Use the cumulative lines to spot the steady driver, read the table to judge quality and risk, and glance at the heatmap to learn whether the sessions are amplifying or canceling one another. Adjust the hours to your market and let the data tell you which session deserves your focus.
Markov 3D Trend AnalyzerMarkov 3D Trend Analyzer
🔹 What Is a Markov State?
A Markov chain models systems as states with probabilities of transitioning from one state to another. The key property is memorylessness: the next state depends only on the current state, not the full past history. In financial markets, this allows us to study how conditions tend to persist or flip — for example, whether a green candle is more likely to be followed by another green or by a red.
🔹 How This Indicator Uses It
The Markov 3D Trend Analyzer tracks three independent Markov chains:
Direction Chain (short-term): Probability that a green/red candle continues or reverses.
Volatility Chain (mid-term): Probability of volatility staying Low/Medium/High or transitioning between them.
Momentum Chain (structural): Probability of momentum (Bullish, Neutral, Bearish) persisting or flipping.
Each chain is updated dynamically using exponentially weighted probabilities (EMA), which balance the law of large numbers (stability) with adaptivity to new market conditions.
The indicator then classifies each chain’s dominant state and combines them into an actionable summary at the bottom of the table (e.g. “📈 Bullish breakout,” “⚠️ Choppy bearish fakeouts,” “⏳ Trend squeeze / possible reversal”).
🔹 Settings
Direction Lookback / Volatility Lookback / Momentum Lookback
Control the rolling window length (sample size) for each chain. Larger = smoother but slower to adapt.
EMA Weight
Adjusts how much weight is given to recent transitions vs. older history. Lower values adapt faster, higher values stabilize.
Table Position
Choose where the table is displayed on your chart.
Table Size
Adjust the font size for readability.
🔹 How To Consider Using
Contextual tool: Use the summary row to understand the current market condition (trending, mean-reverting, expanding, compressing, continuation, fakeout risk).
Complementary filter: Combine with your existing strategies to confirm or filter signals. For example:
📈 If your breakout strategy fires and the summary says Bullish breakout, that’s confirmation.
⚠️ If it says Choppy fakeouts, be cautious of traps.
Visualization aid: The table lets you see how probabilities shift across direction, volatility, and momentum simultaneously.
⚠️ This indicator is not a signal generator. It is designed to help interpret market states probabilistically. Always use in conjunction with broader analysis and risk management.
🔹 Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security, cryptocurrency, or instrument. Trading involves risk, and past probabilities or behaviors do not guarantee future outcomes. Always conduct your own research and use proper risk management.
Peak Reversal v3# Peak Reversal v3
## Summary
Peak Reversal v3 adds new configurability, clearer visuals, and a faster trader workflow. The release introduces a new Squeeze Detector , expanded Keltner Channels , and streamlined Momentum signals , with no repaints and improved performance. The menus have been reorganized and simplified. Color swatches have been added for better customization. All other colors will be derived from these swatches.
## Highlights
New Squeeze Detector to mark low-volatility periods and prepare for breakouts.
New: Bands are now fully configurable with independent MA length, ATR length, and multipliers.
Five moving average bases for bands: EMA (from v2), SMA, RMA, VMA, HMA.
Simplified color system: three swatches drive candles, on-chart marks, and band fill.
Reorganized menu with focused sections and tooltips for each parameter making the entire trader experience more intuitive.
No repaints and faster performance across calculations.
## Overview
Configuration : Pick from three color swatches and apply them to candles, plotted characters, and band fill for consistent chart context. Use the reorganized menu to reach Keltner settings, momentum signals, and squeeze detection without extra clicks; tooltips clarify each input.
Bands and averages: Choose the band basis from EMA, SMA, RMA, VMA, or HMA to match your strategy. Configure two bands independently by setting MA length, ATR length, and band multipliers for the inner and outer envelopes.
Signals : Select the band responsible for momentum signals. Choose wick or close as the price source for entries and exits. Control the window for extreme momentum with “Max Momentum Bars,” a setting now exposed in v3 for direct tuning.
Squeeze detection : The Squeeze Detector normalizes band width and uses percentile ranking to highlight volatility compression. When the market falls below a user-defined threshold, the indicator colors the region with a gradient to signal potential expansion.
## Details about major features and changes
### New
Squeeze Detector to highlight low-volatility conditions.
Five MA bases for bands: EMA, SMA, RMA, VMA, HMA.
“Max Momentum Bars” to cap the bars used for extreme momentum.
### Keltner channel improvements
Refactored Keltner settings for flexible inner and outer band control.
MA type selection added; band calculations updated for consistency.
Removed the third Keltner band to reduce noise and simplify setup.
### Display and signals
Gradient fills for band breakouts, mean deviations, and squeeze periods.
“Show Mean EMA?” set to true and default “Signal Band” set to “Inner.”
Clearer tooltips and input descriptions.
### Reliability and performance
No more repaints. The indicator waits for confirmation before drawing occurs.
Faster execution through targeted refactors.
All algorithms have been reviewed and now use a consistent logic, naming, and structure.
Gann Static Square of 9 - CEGann Static Square of 9 - Community Edition
Welcome to the Gann Static Square of 9 - Community Edition, a meticulously crafted tool designed to empower traders with the timeless principles of W.D. Gann’s Square of 9 methodology. This indicator is tailored for the TradingView community and Gann Traders, providing a robust solution for analyzing price and time dynamics across various markets.
Overview
The Gann Static Square of 9 harnesses the mathematical precision of Gann’s Square of 9 chart, plotting key price and time levels based on a fixed starting point of 1. Unlike its dynamic counterpart , this static version uses a consistent origin, making it ideal for traders seeking to map Gann’s geometric angles (45°, 90°, 135°, 180°, 225°, 270°, 315°, and 360°) with a standardized framework. By adjusting the price and time units, users can tailor the indicator to suit any asset, from equities and forex to commodities and cryptocurrencies.
Key Features
Fixed Starting Point: Begins calculations at a base value of 1, providing a standardized approach to plotting Gann’s Square of 9 levels.
Comprehensive Angle Projections: Plots eight critical Gann angles (45°, 90°, 135°, 180°, 225°, 270°, 315°, and 360°), enabling precise identification of support, resistance, and time-based targets.
Customizable Price and Time Units: Adjust the price unit (Y-axis) and time unit (X-axis) to align with the specific characteristics of your chosen market, ensuring optimal fit for price action and volatility.
Horizontal and Vertical Levels: Enable horizontal price levels to identify key support and resistance zones, and vertical time levels to pinpoint potential market turning points.
Revolution Control: Extend projections across multiple 360° cycles to uncover long-term price and time objectives, with user-defined revolution counts.
Customizable Aesthetics: Assign distinct colors to each angle for enhanced chart clarity and visual differentiation.
and more!
How It Works
Configure Settings: Set the price and time units to match your asset’s characteristics, and select the desired number of revolutions to project future levels.
Enable Levels: Choose which Gann angles (45° to 360°) to display, tailoring the indicator to your analysis needs.
Visualize Key Levels: The indicator plots horizontal price levels and optional vertical time levels, each labeled with its corresponding angle and price/time value.
Analyze and Trade: Leverage the plotted levels to identify critical support, resistance, and time-based turning points, enhancing your trading strategy with Gann’s proven methodology.
Get Started
As a token of appreciation for the TradingView community, and Gann traders, this Community Edition is provided free of charge. Trade safe and enjoy!
Gann Dynamic Square of 9 - CEWelcome to the Gann Dynamic Square of 9 - Community Edition
a powerful and versatile tool designed for traders utilizing W.D. Gann's renowned Square of 9 methodology. Crafted with gratitude for the TradingView community and Gann trading enthusiasts worldwide.
Overview
The Gann Dynamic Square of 9 leverages the mathematical precision of Gann’s Square of 9 chart, plotting key price and time levels based on a user-defined high or low pivot point. Unlike static Square of 9 models, this dynamic version adapts to your chosen anchor point, starting calculations from your selected price level rather than a fixed value. The indicator projects critical angles (45°, 90°, 135°, 180°, 225°, 270°, 315°, and 360°) with a customizable price unit, enabling precise alignment with market dynamics.
Key Features
Customizable Pivot Points : Anchor the Square of 9 to a user-defined high or low price level, allowing for tailored projections of support, resistance, and time-based targets.
Dynamic Angle Projections : Automatically calculates and plots the eight key Gann angles (45°, 90°, 135°, 180°, 225°, 270°, 315°, and 360°) based on your input, with support for multiple revolutions to identify future price and time targets.
Flexible Price Unit : Adjust the price unit to suit any asset, ensuring compatibility across various markets and price scales. Experimentation is encouraged to find the optimal setting for your trading instrument.
Horizontal and Vertical Levels : Enable horizontal price levels and vertical time levels to visualize critical support/resistance zones and time-based turning points.
User-Friendly Interface : Intuitive input options make it easy to configure price units, pivot placement, revolution counts, and more, streamlining your analysis process.
and more!
How It Works
Select Your Pivot: Choose a significant high or low price level to anchor the Square of 9, setting the foundation for all calculations.
Adjust Settings: Customize the price unit, enable/disable specific angles, and select the number of revolutions to match your trading strategy.
Visualize Key Levels: The indicator plots horizontal price levels and optional vertical time levels, each labeled with its corresponding Gann angle and price/time value.
Analyze and Trade: Use the plotted levels to identify potential support, resistance, and time-based turning points, enhancing your market analysis with Gann’s time-tested principles.
Get Started, enjoy, trade wisely, and unlock the power of Gann’s timeless methodology!
Dual Channel System [Alpha Extract]A sophisticated trend-following and reversal detection system that constructs dynamic support and resistance channels using volatility-adjusted ATR calculations and EMA smoothing for optimal market structure analysis. Utilizing advanced dual-zone methodology with step-like boundary evolution, this indicator delivers institutional-grade channel analysis that adapts to varying volatility conditions while providing high-probability entry and exit signals through breakthrough and rejection detection with comprehensive visual mapping and alert integration.
🔶 Advanced Channel Construction
Implements dual-zone architecture using recent price extremes as foundation points, applying EMA smoothing to reduce noise and ATR multipliers for volatility-responsive channel widths. The system creates resistance channels from highest highs and support channels from lowest lows with asymmetric multiplier ratios for optimal market reaction zones.
// Core Channel Calculation Framework
ATR = ta.atr(14)
// Resistance Channel Construction
Resistance_Basis = ta.ema(ta.highest(high, lookback), lookback)
Resistance_Upper = Resistance_Basis + (ATR * resistance_mult)
Resistance_Lower = Resistance_Basis - (ATR * resistance_mult * 0.3)
// Support Channel Construction
Support_Basis = ta.ema(ta.lowest(low, lookback), lookback)
Support_Upper = Support_Basis + (ATR * support_mult * 0.4)
Support_Lower = Support_Basis - (ATR * support_mult)
// Smoothing Application
Smoothed_Resistance_Upper = ta.ema(Resistance_Upper, smooth_periods)
Smoothed_Support_Lower = ta.ema(Support_Lower, smooth_periods)
🔶 Volatility-Adaptive Zone Framework
Features dynamic ATR-based width adjustment that expands channels during high-volatility periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine breakouts. The asymmetric multiplier system optimizes zone boundaries for realistic market behavior patterns.
// Dynamic Volatility Adjustment
Channel_Width_Resistance = ATR * resistance_mult
Channel_Width_Support = ATR * support_mult
// Asymmetric Zone Optimization
Resistance_Zone = Resistance_Basis ± (ATR_Multiplied * )
Support_Zone = Support_Basis ± (ATR_Multiplied * )
🔶 Step-Like Boundary Evolution
Creates horizontal step boundaries that update on smoothed bound changes, providing visual history of evolving support and resistance levels with performance-optimized array management limited to 50 historical levels for clean chart presentation and efficient processing.
🔶 Comprehensive Signal Detection
Generates break and bounce signals through sophisticated crossover analysis, monitoring price interaction with smoothed channel boundaries for high-probability entry and exit identification. The system distinguishes between breakthrough continuation and rejection reversal patterns with precision timing.
🔶 Enhanced Visual Architecture
Provides translucent zone fills with gradient intensity scaling, step-like historical boundaries, and dynamic background highlighting that activates upon zone entry. The visual system uses institutional color coding with red resistance zones and green support zones for intuitive
market structure interpretation.
🔶 Intelligent Zone Management
Implements automatic zone relevance filtering, displaying channels only when price proximity warrants analysis attention. The system maintains optimal performance through smart array management and historical level tracking with configurable lookback periods for various market conditions.
🔶 Multi-Dimensional Analysis Framework
Combines trend continuation analysis through breakthrough patterns with reversal detection via rejection signals, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with volatility-normalized accuracy.
🔶 Advanced Alert Integration
Features comprehensive notification system covering breakouts, breakdowns, rejections, and bounces with customizable alert conditions. The system enables precise position management through real-time notifications of critical channel interaction events and zone boundary violations.
🔶 Performance Optimization
Utilizes efficient EMA smoothing algorithms with configurable periods for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic historical level cleanup and performance-optimized visual rendering for smooth operation across all timeframes.
Why Choose Dual Channel System ?
This indicator delivers sophisticated channel-based market analysis through volatility-adaptive ATR calculations and intelligent zone construction methodology. By combining dynamic support and resistance detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade channel analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying volatility conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to breakout trading, zone reversals, and trend continuation analysis with clearly defined risk parameters and comprehensive alert integration. Also to note, this indicator is best suited for the 1D timeframe.
KAMA Trend Flip - SightLing LabsBuckle up, traders—this open-source KAMA Trend Flip indicator is your ticket to sniping trend reversals with a Kaufman Adaptive Moving Average (KAMA) that’s sharper than a Wall Street shark’s tooth. No voodoo, no fluff—just raw, volatility-adaptive math that dances with the market’s rhythm. It zips through trending rockets and chills in choppy waters, slashing false signals like a samurai. Not laggy like the others - this thing is the real deal!
Core Mechanics:
• Efficiency Ratio (ER): Reads the market’s pulse (0-1). High ER = turbo-charged MA, low ER = smooth operator.
• Adaptive Smoothing: Mixes fast (default power 2) and slow (default 30) constants to match market mood swings.
• Trend Signals: KAMA climbs = blue uptrend (bulls run wild). KAMA dips = yellow downtrend (bears take over). Flat = gray snooze-fest.
• Alerts: Instant pings on flips—“Trend Flip Up” for long plays, “Down” for shorts. Plug into bots for set-and-forget domination.
Why It Crushes:
• Smokes static MAs in volatile arenas (crypto, stocks, you name it). Backtests show 20-30% fewer fakeouts than SMA50.
• Visual Pop: Overlays price with bold blue/yellow signals. Slap it on BTC 1D to see trends light up like Times Square.
• Tweakable: Dial ER length (default 50) to your timeframe. Short for scalps, long for swing trades.
Example Settings in Action:
• 10s Chart (Hyper-Scalping): Set Source: Close, ER Length: 100, Fast Power: 1, Slow Power: 6. Catches micro-trends in crypto like a heat-seeking missile. Blue/yellow flips scream entry/exit on fast moves.
• 2m Chart (Quick Trades): Set Source: Close, ER Length: 14, Fast Power: 1, Slow Power: 6. Perfect for rapid trend shifts in stocks or forex. Signals align with momentum bursts—check historical flips for proof.
Deployment:
• Drop it on any chart. Backtest settings to match your asset’s volatility—tweak until it sings.
• Pair with RSI or volume spikes for killer confirmation. Pro move: Enter on flip + volume pop, exit on reverse.
• Strategy-Ready: Slap long/short logic on alerts to build a lean, mean trading machine.
Open source from SightLing Labs—grab it, hack it, profit from it. Share your tweaks in the comments and let’s outsmart the market together. Trade hard, win big!
samc's - Keltner OscillatorThe KELTNER CHANNEL is a widely used technical indicator developed in the 60's by Chester W. Keltner who described it in his 1960 book How To Make Money in Commodities.
so i took the logic, simplified the code and made into an oscillator.
to add a flavor of modern times you can choose among 10 different colorways themes in the settings. (so traders can adjust it for dark or light charts)
Although the initial idea was developed for stocks and commodities, I've carefully back tested this as an oscillator across FX MAJORS , MINORS and high liquidity stocks for the use case of scalping and Medium term trade ideas.
now, this indicator works successfully over all time frames, custom time frames and all assets.
This script builds on the same approach as my earlier session tool — keeping things clean, visual, and easy to read.
I intend to publish more of my work as i develop them from Beta ideas into stable scripts, and i welcome feedback.
Session Volatility MonitorOverview
Session Volatility Monitor is a versatile volatility indicator tailored for intraday and session-based trading. It computes the average maximum price deviation (either up or down) from the session's opening price over a user-specified number of prior days, providing insights into expected "room to move" in the current session. This helps traders gauge potential exhaustion points, set realistic targets or stops, and identify when a directional move has reached historical norms (flagged as "REACHED" with the exact price level).
Displayed via a customisable table and optional horizontal target lines, it's ideal for markets like forex, crypto, futures, or stocks where session volatility matters. The indicator supports custom sessions with timezone adjustments, making it adaptable to global trading hours (e.g., London, NY, or Asia kill zones). For assets with small tick sizes (e.g., forex pairs at 0.0001), a multiplier scales values for readability (e.g., showing pips as 67.0 instead of 0.00670).
Key Features
Session-Based Calculations:
Defines sessions via presets (e.g., "NY Kill Zone: 07:00-10:00") or custom HHMM-HHMM inputs. (please note that preset sessions are mainly for futures e.g. "Full Day18:01-17:00", but also can be useful for forex and crypto)
Adjustable UTC offset (e.g., -5 for ET) to align with your asset's timezone—ensures accurate detection regardless of TradingView's UTC internal clock.
Tracks the max one-sided move (high - open or open - low) per session, averaging over 1–N previous days (default: 14).
Table Display:
Avg Max Move: Historical average deviation, labeled with days averaged and session time.
Current Move: Real-time displacement from session open (positive for up, negative for down).
Room to Go Up/Down: Remaining distance to reach the average, updating live; appends "REACHED (price)" if hit during the session.
Customisable: Text color, font size (tiny to huge), position (e.g., bottom_left), and value scaling via multiplier/decimal places.
Target Lines:
Optional horizontal lines at "Up Target" (open + avg move) and "Down Target" (open - avg move).
Lines start at the session open bar and extend only through the session duration (e.g., stops at 12:00 for a 07:00-12:00 session)—no further projection post-session.
Fully customisable: Toggle on/off, color, style (solid/dotted/dashed), width, label text/background.
Display Adjustments for Forex/Crypto:
Multiplier: Scales raw values (e.g., set to 10000 for EURUSD to show pips like 45.0 instead of 0.0045).
Decimals: Controls precision (0–5 places) for table values.
How to Use
Add to Chart: Search for "Session Volatility Monitor" in TradingView's indicators and apply to your symbol (e.g., EURUSD for forex, NQ1! for futures, BTCUSD for crypto).
Configure Settings:
Select a session preset or custom range; adjust UTC offset if needed (e.g., +0 for UTC symbols like crypto).
Set "Number of Previous Days to Average" (e.g., 14 for a two-week look back).
For small-tick assets, set Multiplier (e.g., 100 for crypto points, 10000 for forex pips) and Decimals (e.g., 0 for whole numbers).
Customise table position/size/color and target lines for visibility.
Interpret Outputs:
Monitor the table for "room to go"—if Room Up is low/negative, upside might be limited; "REACHED" signals a potential reversal or exhaustion.
Use target lines as visual S/R levels; they auto-start at session open and halt at close.
Combine with price action, volume, or other indicators for entries (e.g., buy near down target if bullish bias).
Example Scenario:
Forex (GBPUSD, 1-min): Set session to "London Kill Zone: 02:00-05:00" (UTC+0), multiplier=10000. Table shows pips; lines mark expected highs/lows.
Limitations and Tips
Historical Data Limits: Averages are capped by TradingView's bar history (e.g., ~14 days on 1-min for free plans). Upgrade for deeper look backs or use higher timeframes.
Session Accuracy: Ensure UTC offset matches your chart—test with the "In Session" plot (enable in Style tab, zoom y-axis if columns are tiny).
No Alerts/Signals: Purely informational; add custom alerts via TradingView for "REACHED" conditions.
Performance: On very low timeframes with long sessions, lines might consume line limits (max ~50)—toggle off if needed.
Tips: For crypto/forex, experiment with multiplier to match your preferred units (e.g., points vs. decimals). Hide debug plot in Style tab for clean charts. If "REACHED" doesn't trigger, verify on historical data where moves exceed averages.
This tool draws from concepts like Average Daily Range but focuses on directional, session-specific volatility for precise intraday decision-making. Feedback welcome!
Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Always consult a professional before trading.
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) .
While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach:
It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility .
The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio.
This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging.
────────────────────────────────────────────────────────────
╭────────────╮
How It Works
╰────────────╯
1. Standard Deviation Calculation
• Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`).
2. Directional Separation
• Volatility on up bars (`chg > 0`) is treated as upward volatility .
• Volatility on down bars (`chg < 0`) is treated as downward volatility .
3. Rolling Sum
• Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`.
4. Relative Volatility Mass
• The two sums are added together to get the total volatility mass for the rolling window.
Formula:
RVM = Σ(σ up) + Σ(σ down)
where σ is the standard deviation over `stdDevLen`.
╭────────────╮
Key Features
╰────────────╯
Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines.
Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period.
Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA.
Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier.
Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source.
╭─────╮
Usage
╰─────╯
Trend Confirmation: High RVM values can confirm strong trending conditions.
Breakout Detection: Spikes in RVM often precede or accompany price breakouts.
Volatility Cycle Analysis: Compare periods of contraction and expansion.
RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters.
Consider normalizing or using smoothing for easier visual comparison.
╭────────────────╮
Example Settings
╰────────────────╯
Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10`
Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20`
Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history.
╭───────────────────╮
Notes & Limitations
╰───────────────────╯
Not a directional signal by itself — use alongside price structure, volume, or other indicators.
Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness.
Because it sums, not averages, values will scale with both volatility and chosen window size.
╭───────╮
Credits
╰───────╯
Based on the Relative Volatility Index concept by Donald Dorsey (1993).
TradingView
SciQua - Joshua Danford
Consensus Signal Matrix Pro [By TraderMan] Consensus Signal Matrix Pro 🌟
What Does It Do? 📊
Consensus Signal Matrix Pro is a comprehensive technical analysis indicator designed for financial markets. 🧠 It aggregates signals from over 30 popular technical indicators (e.g., EMA, RSI, MACD, Bollinger Bands, Supertrend, Ichimoku, etc.) to provide a unified BUY, SELL, or NEUTRAL recommendation. 💡 This tool helps traders make informed decisions by consolidating signals and presenting them in a clear table format. 📈 It is particularly suited for leveraged trading (without built-in TP/SL). 🚀
How Does It Work? 🔍
Multi-Indicator Analysis 🛠️:
The indicator calculates signals from 30 different technical indicators (e.g., EMA 9/21, RSI, MACD, Supertrend, Ichimoku, Williams %R, etc.).
Each indicator generates a BUY, SELL, or NEUTRAL signal based on price action and volume data.
For example: RSI < 30 triggers a "BUY" signal, while RSI > 70 triggers a "SELL" signal. 🔔
Signal Aggregation and Consensus 🤝:
All indicator signals are collected into an array.
The number of BUY, SELL, and NEUTRAL signals is counted.
A percentage difference (percentDiff) is calculated by dividing the difference between BUY and SELL signals by the total number of indicators.
Based on this difference:
>20%: General status is GENERAL BUY. ✅
<-20%: General status is GENERAL SELL. ❎
In between: General status is NEUTRAL. ⚖️
Position Recommendation 💸:
The position type is determined based on the general status:
GENERAL BUY → LONG position recommended. 📈
GENERAL SELL → SHORT position recommended. 📉
NEUTRAL → No position (NONE). 🚫
Table Visualization 📋:
The indicator displays all signals and the general status in a table located in the top-right corner of the TradingView chart. 🎨
The table lists each indicator’s name, its signal (BUY/SELL/NEUTRAL), total indicator count, BUY/SELL/NEUTRAL counts, general status, and position type. 🖼️
Color coding is used: Green (BUY), Red (SELL), Gray (NEUTRAL), Orange (headers). 🌈
How to Use It? 🛠️
Setup ⚙️:
Copy and paste the indicator code into the Pine Editor on TradingView and compile it. 🖥️
Add it to your chart (works on any timeframe, though it uses D1 data for daily ATR). ⏰
Review the Table 📖:
Check the table displayed in the top-right corner of the chart.
Review each indicator’s signal (BUY/SELL/NEUTRAL) and the overall signal distribution.
Focus on the GENERAL STATUS and POSITION TYPE rows. 🔎
Position Opening Decision 💰:
LONG Position: If GENERAL STATUS is "GENERAL BUY" and the table shows mostly green (BUY) signals, consider opening a LONG position. 📈
SHORT Position: If GENERAL STATUS is "GENERAL SELL" and the table shows mostly red (SELL) signals, consider opening a SHORT position. 📉
NEUTRAL Status: If the status is "NEUTRAL," avoid opening a position. ⚖️
Risk Management ⚠️:
The indicator does not include Take Profit (TP) or Stop Loss (SL) levels. You must apply your own risk management strategy.
Recommended: Use ATR-based volatility (shown in the table as ATR signal) or support/resistance levels to set manual TP/SL. 🛡️
Timeframe and Asset ⏳:
Can be used on any financial asset (stocks, forex, crypto, etc.).
Works on short-term (1H, 4H) or long-term (D1, W1) charts. Evaluate signal speed based on your timeframe. 📅
How to Open Positions? 🎯
Trust the General Status: Use GENERAL STATUS (GENERAL BUY or GENERAL SELL) as the primary guide. A strong percentage difference (>20% or <-20%) indicates a more reliable signal. ✅
Check Signal Strength: Look at the table to assess the number of BUY or SELL signals. For example, if 20 out of 30 indicators signal BUY, it’s a strong LONG signal. 💪
Align with Market Conditions: Before acting, analyze the broader market trend (bullish, bearish, or sideways). For instance, SELL signals may be less reliable in a strong bull market. 📡
Combine with Other Analyses: Use the indicator alongside support/resistance levels, news flow, or fundamental analysis for confirmation. 🧩
Caution: The indicator is designed for leveraged trading but lacks TP/SL. Manage volatility and risk tolerance carefully. ⚠️
Advantages and Considerations 🌟
Advantages 😊:
Simplifies analysis by combining multiple indicators into one table.
Provides a quick overview of market direction.
User-friendly for both beginners and experienced traders.
Considerations ⚠️:
No signal is 100% accurate; markets can be unpredictable.
You must develop your own risk management strategy.
Signals may be misleading during high volatility; use additional confirmation.
Final Note 🎉:
Consensus Signal Matrix Pro is a powerful tool for traders seeking a consolidated view of multiple technical signals. 🚀 By combining diverse indicators into a single, easy-to-read table, it streamlines decision-making. However, always combine it with sound risk management and market context for the best results. 💸 Happy trading! 🤑
ATR+CCI Monetary Risk Tool - TP/SL⚙️ ATR+CCI Monetary Risk Tool — Volatility-aware TP/SL & Position Sizing
Exact prices (no rounding), ATR-percentile dynamic stops, and risk-budget sizing for consistent execution.
🧠 What this indicator is
A risk-first planning tool. It doesn’t generate orders; it gives you clean, objective levels (Entry, SL, TP) and position size derived from your risk budget. It shows only the latest setup to keep charts readable, and a compact on-chart table summarizing the numbers you actually act on.
✨ What makes it different
Dynamic SL by regime (ATR percentile): Instead of a fixed multiple, the SL multiplier adapts to the current volatility percentile (low / medium / high). That helps avoid tight stops in noisy markets and over-wide stops in quiet markets.
Risk budgeting, not guesswork: Size is computed from Account Balance × Max Risk % divided by SL distance × point value. You risk the same dollars across assets/timeframes.
Precision that matches your instrument: Entry, TP, SL, and SL Distance are displayed as exact prices (no rounding), truncated to syminfo.mintick so they align with broker/exchange precision.
Symbol-aware point value: Uses syminfo.pointvalue so you don’t maintain tick tables.
Non-repaint option: Work from closed bars to keep the plan stable.
🔧 How to use (quick start)
Add to chart and pick your timeframe and symbol.
In settings:
Set Account Balance (USD) and Max Risk per Trade (%).
Choose R:R (1:1 … 1:5).
Pick ATR Period and CCI Period (defaults are sensible).
Keep Dynamic ATR ON to adapt SL by regime.
Keep Use closed-bar values ON to avoid repaint when planning.
Read the labels (Entry/TP/SL) and the table (SL Distance, Position Size, Max USD Risk, ATR Percentile, effective SL Mult).
Combine with your entry trigger (price action, levels, momentum, etc.). This indicator handles risk & targets.
📐 How levels are computed
Bias: CCI ≥ 0 ⇒ long, otherwise short.
ATR Percentile: Percent rank of ATR(atrPeriod) over a lookback window.
Effective SL Mult:
If percentile < Low threshold ⇒ use Low SL Mult (tighter).
If between thresholds ⇒ use Base SL Mult.
If percentile > High threshold ⇒ use High SL Mult (wider).
Stop-Loss: SL = Entry ± ATR × SL_Mult (minus for long, plus for short).
Take-Profit: TP = Entry ± (Entry − SL) × R (R from the R:R dropdown).
Position Size:
USD Risk = Balance × Risk%
Contracts = USD Risk ÷ (|Entry − SL| × PointValue)
For futures, quantity is floored to whole contracts.
Exact prices: Entry/TP/SL and SL Distance are not rounded; they’re truncated to mintick so what you see matches valid price increments.
📊 What you’ll see on chart
Latest Entry (blue), TP (green), SL (red) with labels (optional emojis: ➡️ 🎯 🛑).
Info Table with:
Bias, Entry, TP, SL (exact, truncated to mintick)
SL Distance (exact, truncated)
Position Size (contracts/units)
Max USD Risk
Point Value
ATR Percentile and effective SL Mult
🧪 Practical examples
High-volatility session (e.g., XAUUSD, 1H): ATR percentile is high ⇒ wider SL, smaller size. Reduces churn from normal noise during macro events.
Range-bound market (e.g., EURUSD, 4H): ATR percentile low ⇒ tighter SL, better R:R. Helps you avoid carrying unnecessary risk.
Index swing planning (e.g., ES1!, Daily): Non-repaint levels + risk budgeting = consistent sizing across days/weeks, easier to review and journal.
🧭 Why traders should use it
Consistency: Same dollar risk regardless of instrument or volatility regime.
Clarity: One-trade view forces focus; you see the numbers that matter.
Adaptivity: Stops calibrated to the market’s current behavior, not last month’s.
Discipline: A visible checklist (SL distance, size, USD risk) before you hit buy/sell.
🔧 Input guide (practical defaults)
CCI Period: 100 by default; use as a bias filter, not an entry signal.
ATR Period: 14 by default; raise for smoother, lower for more reactive.
ATR Percentile Lookback: 200 by default (stable regime detection).
Percentile thresholds: 33/66 by default; widen the gap to change how often regimes switch.
SL Mults: Start ~1.5 / 2.0 / 2.5 (low/base/high). Tune by asset.
Risk % per trade: Common pro ranges are 0.25–1.0%; adjust to your risk tolerance.
R:R: Start with 1:2 or 1:3 for balanced skew; adapt to strategy edge.
Closed-bar values: Keep ON for planning/live; turn OFF only for exploration.
💡 Best practices
Combine with your entry logic (structure, momentum, liquidity levels).
Review ATR percentile and effective SL Mult across sessions so you understand regime shifts.
For futures, remember size is floored to whole contracts—safer by design.
Journal trades with the table snapshot to improve risk discipline over time.
⚠️ Notes & limitations
This is not a strategy; it does not place orders or alerts.
No slippage/commissions modeled here; build a strategy() version for backtests that mirror your broker/exchange.
Displayed non-price metrics use two decimals; prices and SL Distance are exact (truncated to mintick).
📎 Disclaimer
For educational purposes only. Not financial advice. Markets involve risk. Test thoroughly before trading live.
TrendGradient [By TraderMan]TrendGradient Indicator: What It Does, How It Works, and How to Use It 📊✨
The **TrendGradient ** indicator is a Pine Script tool designed for the TradingView platform, assisting traders in trend analysis, generating buy/sell signals, and determining target price (TP) and stop-loss (SL) levels. In this guide, I’ll explain in detail what the indicator does, how it operates, how to use it, and strategies for opening positions. Get ready to dive into this colorful and powerful tool! 🚀
🌟 **What Is TrendGradient and What Does It Do?**
TrendGradient is an indicator that analyzes price movements to identify trend direction and strength while generating actionable buy and sell signals. Here are its core functions:
1. **Trend Tracking**: Uses 38-period and 62-period Exponential Moving Averages (EMAs) to determine the trend direction (bullish or bearish).
2. **Buy/Sell Signals**: Generates signals based on EMA crossovers and crossunders.
3. **Target and Stop Levels**: Calculates entry, take-profit (TP1, TP2, TP3), and stop-loss (SL) levels using the Average True Range (ATR).
4. **Volatility and Trend Analysis**: Visualizes volatility levels (low, medium, high) and trend strength (strong/weak) via ATR and EMA.
5. **Visual Clarity**: Provides a user-friendly interface with colored lines, labels, tables, and shapes.
This indicator is ideal for trend-following traders and can be used for both short-term (scalping/day trading) and long-term strategies. 📈
---
### 🛠️ **How Does TrendGradient Work?**
Let’s break down the indicator’s mechanics step by step:
#### 1. **EMA-Based Trend Analysis** 📉
- **EMA 38 and EMA 62**: The indicator uses 38-period and 62-period Exponential Moving Averages to smooth price data and identify trend direction.
- **EMA 38 > EMA 62**: Bullish trend (uptrend) 📈
- **EMA 38 < EMA 62**: Bearish trend (downtrend) 📉
- EMA crossovers trigger buy/sell signals:
- **Crossover (EMA 38 crosses above EMA 62)**: Buy signal (BUY).
- **Crossunder (EMA 38 crosses below EMA 62)**: Sell signal (SELL).
- The EMAs focus on the last 20 days of data to display recent trends only.
#### 2. **ATR-Based Levels** ⚖️
- **ATR (Average True Range)**: Measures price volatility and is used to calculate entry, TP, and SL levels.
- **Entry Price**: For buys, the closing price plus an ATR multiplier; for sells, the closing price minus an ATR multiplier.
- **Take-Profit Levels (TP1, TP2, TP3)**: Calculated by adding/subtracting ATR multiples (default: 2.0, 4.0, 6.0) to/from the entry price.
- **Stop-Loss (SL)**: Set at a distance from the entry price using an ATR multiplier (default: 2.0 + additional SL).
- These levels are visualized on the chart with colored lines (yellow: entry, green: TP1, teal: TP2, blue: TP3, red: SL) and labels.
#### 3. **Signal and Status Visualization** 🖼️
- **Lines and Labels**: Buy/sell signals are marked with green "BUY" and red "SELL" labels on the chart.
- **Table**: A table in the top-right corner summarizes signal status, entry/TP/SL levels, trend strength, volatility, and trend direction.
- **Color Coding**:
- Green: Bullish trend, buy signal, or TP achievements.
- Red: Bearish trend, sell signal, or SL triggered.
- Yellow, teal, blue: Entry and TP levels.
- **Bar Coloring**: Bars are colored green (bullish) or red (bearish) based on EMA alignment.
#### 4. **TP/SL Monitoring** ✅❌
- The indicator checks if the price hits TP or SL levels and displays labels like "✔️ TP Achieved" or "❌ SL Stopped Out."
- When a TP or SL is hit, the position status updates (e.g., "In Progress ⏳", "Successful ✅", or "Failed ❌").
#### 5. **Volatility and Trend Strength** 📊
- **Volatility (ATR)**: Classified as "Low" (red), "Medium" (orange), or "High" (green) based on the ATR’s position within its 50-bar range.
- **Trend Strength**: If EMA 38 > EMA 62, the trend is "Strong" (green); otherwise, it’s "Weak" (red).
---
### 📋 **How to Use TrendGradient?**
Follow these steps to effectively use TrendGradient:
#### 1. **Add the Indicator to TradingView** 🖥️
- In TradingView, search for "TrendGradient " in the **Indicators** menu and add it to your chart.
- Use default settings or customize parameters like ATR period, multipliers, and display duration (default: 20 days) in the **Settings** menu.
#### 2. **Identify Signals** 🔍
- **Buy Signal (BUY)**: Appears when a green "BUY" label is displayed and EMA 38 crosses above EMA 62.
- **Sell Signal (SELL)**: Appears when a red "SELL" label is displayed and EMA 38 crosses below EMA 62.
- Check the top-right table for signal status ("BUY", "SELL", or "-") and position levels (Entry, TP1, TP2, TP3, SL).
#### 3. **Opening a Position** 🚪
- **Long Position (Buy)**:
1. When a "BUY" signal appears, check the entry price (yellow line).
2. Open a position at or near the entry price.
3. Set TP1, TP2, TP3 (green, teal, blue lines) and SL (red line) as targets/stops.
- **Short Position (Sell)**:
1. When a "SELL" signal appears, check the entry price.
2. Open a position at or near the entry price.
3. Use TP and SL levels as targets/stops.
- **Note**: ATR-based levels adjust dynamically to market volatility, ensuring adaptability.
#### 4. **Position Management** 🛡️
- **Take-Profit (TP)**: Realize profits when the price hits TP1, TP2, or TP3. For example, close part of the position at TP1 and hold the rest for TP2/TP3.
- **Stop-Loss (SL)**: Close the position if the price hits the SL level ("❌ SL Stopped Out" appears).
- **Partial Closes**: Use multiple TP levels to scale out of positions incrementally.
#### 5. **Trend and Volatility Analysis** 📊
- **Trend Direction and Strength**: The table shows whether the trend is "Up" or "Down" and its strength ("Strong" or "Weak"). Strong trends may warrant more aggressive positions.
- **Volatility**: ATR-based volatility indicators help gauge market conditions. High volatility (green) suggests larger price moves, while low volatility (red) indicates calmer markets.
#### 6. **Risk Management** ⚠️
- Always use the SL level and assess the risk/reward ratio (e.g., 2:1 for TP1, 4:1 for TP2).
- In low volatility (red), consider smaller positions; in high volatility (green), expect larger moves.
---
### 🛠️ **Example Position Opening Scenario**
**Scenario: Long Position**
- **Situation**: EMA 38 crosses above EMA 62, and a green "BUY" label appears.
- **Entry Price**: 100 (yellow line).
- **TP Levels**: TP1: 104, TP2: 108, TP3: 112.
- **SL Level**: 96.
- **Strategy**:
1. Open a long position at 100.
2. Close 50% of the position at TP1 (104), hold the rest for TP2 (108) or TP3 (112).
3. Exit fully if the price hits SL (96).
- **Table Status**: "Signal: BUY", "Position Status: In Progress ⏳", "Trend Strength: Strong", "Volatility: High".
**Scenario: Short Position**
- **Situation**: EMA 38 crosses below EMA 62, and a red "SELL" label appears.
- **Entry Price**: 100.
- **TP Levels**: TP1: 96, TP2: 92, TP3: 88.
- **SL Level**: 104.
- **Strategy**: Manage the position similarly, scaling out at TP levels.
---
### 💡 **Tips and Suggestions**
1. **Timeframe**: The indicator works across timeframes (1H, 4H, daily). Short-term traders can use 1H-4H, while long-term traders may prefer daily charts.
2. **Combine with Other Indicators**: Use RSI, MACD, or support/resistance levels to confirm signals.
3. **Backtesting**: Test the strategy on historical data to evaluate performance.
4. **Customization**: Adjust ATR multipliers or EMA periods to suit your market or strategy.
5. **Discipline**: Stick to signals and avoid emotional decisions.
---
### 🎨 **Visual Features**
- **Colored Lines and Labels**: Entry, TP, and SL levels are displayed with colored lines (yellow, green, teal, blue, red) for clarity.
- **Table**: The top-right table summarizes all key information (signal, levels, trend, volatility).
- **Bar Coloring**: Green bars for bullish trends and red bars for bearish trends make trend direction easy to spot.
- **Emojis**: Position status is enhanced with emojis like ⏳ (in progress), ✅ (successful), and ❌ (failed) for visual appeal.
---
### ⚠️ **Warnings and Limitations**
- **Market Conditions**: The indicator performs best in trending markets; it may produce false signals in ranging markets.
- **Risk Management**: Always use proper risk/reward ratios and risk only a small portion of your capital.
- **Lag**: EMAs are lagging indicators, so signals may be delayed in fast-moving markets.
- **Customization Needs**: Default settings may not suit all markets; test and optimize as needed.
---
### 🌟 **Conclusion**
TrendGradient is a user-friendly, visually appealing indicator for trend tracking and automated level calculation. It generates signals via EMA crossovers, calculates dynamic TP/SL levels with ATR, and presents all information clearly through tables, lines, and labels. By using this tool with discipline, you can make more informed and successful trading decisions! 🚀
If you have further questions or need help customizing the indicator, feel free to ask! 💬 Good luck and happy trading! 🍀
Squeeze Momentum Regression Clouds [SciQua]╭──────────────────────────────────────────────╮
☁️ Squeeze Momentum Regression Clouds
╰──────────────────────────────────────────────╯
🔍 Overview
The Squeeze Momentum Regression Clouds (SMRC) indicator is a powerful visual tool for identifying price compression , trend strength , and slope momentum using multiple layers of linear regression Clouds. Designed to extend the classic squeeze framework, this indicator captures the behavior of price through dynamic slope detection, percentile-based spread analytics, and an optional UI for trend inspection — across up to four customizable regression Clouds .
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╭────────────────╮
⚙️ Core Features
╰────────────────╯
Up to 4 Regression Clouds – Each Cloud is created from a top and bottom linear regression line over a configurable lookback window.
Slope Detection Engine – Identifies whether each band is rising, falling, or flat based on slope-to-ATR thresholds.
Spread Compression Heatmap – Highlights compressed zones using yellow intensity, derived from historical spread analysis.
Composite Trend Scoring – Aggregates directional signals from each Cloud using your chosen weighting model.
Color-Coded Candles – Optional candle coloring reflects the real-time composite score.
UI Table – A toggleable info table shows slopes, compression levels, percentile ranks, and direction scores for each Cloud.
Gradient Cloud Styling – Apply gradient coloring from Cloud 1 to Cloud 4 for visual slope intensity.
Weight Aggregation Options – Use equal weighting, inverse-length weighting, or max pooling across Clouds to determine composite trend strength.
────────────────────────────────────────────────────────────
╭──────────────────────────────────────────╮
🧪 How to Use the Indicator
1. Understand Trend Bias with Cloud Colors
╰──────────────────────────────────────────╯
Each Cloud changes color based on its current slope:
Green indicates a rising trend.
Red indicates a falling trend.
Gray indicates a flat slope — often seen during chop or transitions.
Cloud 1 typically reflects short-term structure, while Cloud 4 represents long-term directional bias. Watch for multi-Cloud alignment — when all Clouds are green or red, the trend is strong. Divergence among Clouds often signals a potential shift.
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╭───────────────────────────────────────────────╮
2. Use Compression Heat to Anticipate Breakouts
╰───────────────────────────────────────────────╯
The space between each Cloud’s top and bottom regression lines is measured, normalized, and analyzed over time. When this spread tightens relative to its history, the script highlights the band with a yellow compression glow .
This visual cue helps identify squeeze zones before volatility expands. If you see compression paired with a changing slope color (e.g., gray to green), this may indicate an impending breakout.
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╭─────────────────────────────────╮
3. Leverage the Optional Table UI
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The indicator includes a dynamic, floating table that displays real-time metrics per Cloud. These include:
Slope direction and value , with historical Min/Max reference.
Top and Bottom percentile ranks , showing how price sits within the Cloud range.
Current spread width , compared to its historical norms.
Composite score , which blends trend, slope, and compression for that Cloud.
You can customize the table’s position, theme, transparency, and whether to show a combined summary score in the header.
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4. Analyze Candle Color for Composite Signals
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When enabled, the indicator colors candles based on a weighted composite score. This score factors in:
The signed slope of each Cloud (up, down, or flat)
The percentile pressure from the top and bottom bands
The degree of spread compression
Expect green candles in bullish trend phases, red candles during bearish regimes, and gray candles in mixed or low-conviction zones.
Candle coloring provides a visual shorthand for market conditions , useful for intraday scanning or historical backtesting.
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🧰 Configuration Guidance
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To tailor the indicator to your strategy:
Use Cloud lengths like 21, 34, 55, and 89 for a balanced multi-timeframe view.
Adjust the slope threshold (default 0.05) to control how sensitive the trend coloring is.
Set the spread floor (e.g., 0.15) to tune when compression is detected and visualized.
Choose your weighting style : Inverse Length (favor faster bands), Equal, or Max Pooling (most aggressive).
Set composite weights to emphasize trend slope, percentile bias, or compression—depending on your market edge.
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✅ Best Practices
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Use aligned Cloud colors across all bands to confirm trend conviction.
Combine slope direction with compression glow for early breakout entry setups.
In choppy markets, watch for Clouds 1 and 2 turning flat while Clouds 3 and 4 remain directional — a sign of potential trend exhaustion or consolidation.
Keep the table enabled during backtesting to manually evaluate how each Cloud behaved during price turns and consolidations.
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📌 License & Usage Terms
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This script is provided under the Creative Commons Attribution-NonCommercial 4.0 International License .
✅ You are allowed to:
Use this script for personal or educational purposes
Study, learn, and adapt it for your own non-commercial strategies
❌ You are not allowed to:
Resell or redistribute the script without permission
Use it inside any paid product or service
Republish without giving clear attribution to the original author
For commercial licensing , private customization, or collaborations, please contact Joshua Danford directly.
Mean Reversion & Momentum Hybrid | D_QUANT 📌 Mean Reversion & Momentum Hybrid | D_QUANT
📖 Description:
This indicator combines mean reversion logic, volatility filtering, and percentile-based momentum to deliver clear, context-aware buy/sell signals designed for trend-following and contrarian setups.
At its core, it merges:
A Bollinger Band % Positioning Model (BB%)
A 75th/25th Percentile Momentum System
A Volatility-Adjusted Trend Filter using RMA + ATR
All tied together with a dynamic gradient-style oscillator that visualizes signal strength and persistence over time — making it easy to track high-conviction setups.
Signals only trigger when all three core components align, filtering out noise and emphasizing high-probability turning points or trend continuations.
⚙️ Methodology Overview:
Bollinger Bands % (BB%):
Price is measured as a percentage between upper and lower Bollinger Bands (based on OHLC4). Entries are only considered when price exceeds custom BB% thresholds — emphasizing market extremes.
Volatility-Based Trend Filter (RMA + ATR):
A smoothed RMA baseline is paired with ATR to define trend bias. This ensures signals only occur when price deviates meaningfully beyond recent volatility.
Percentile Momentum Model (75th/25th Rank):
Price is compared against its rolling 75th and 25th percentile. If price breaks these statistical boundaries (adjusted by ATR), it triggers a directional momentum condition.
Signal Consensus Engine:
All three layers must agree — BB% condition, trend filter, and percentile momentum — before a buy or sell signal is plotted.
Gradient Oscillator Visualization:
Signals appear as a fading oscillator line with a gradient-filled area beneath it. The color intensity represents how “fresh” or “strong” the signal is, fading over time if not reconfirmed, offering both clarity and signal aging at a glance.
🔧 User Inputs:
🧠 Core Settings:
Source: Select the price input (default: close)
Bollinger Bands Length: Period for BB basis and deviation
Bollinger Bands Multiplier: Width of the bands
Minimum BB Width (% of Price): Prevents signals during low-volatility chop
📊 BB% Thresholds:
BB% Long Threshold (L): Minimum %B to consider a long
BB% Short Threshold (S): Maximum %B to consider a short
🔍 Trend Filter Parameters:
RMA Length: Period for the smoothed trend baseline
ATR Length: Lookback for ATR in trend deviation filter
⚡️ Momentum Parameters:
Momentum Length: Period for percentile momentum calculation
Mult_75 / Mult_25: ATR-adjusted thresholds for breakout above/below percentile levels
🎨 Visualization:
Bar Coloring: Highlights candles during active signals
Background Coloring: Optional background shading for signals
Show Oscillator Plot: Toggle the gradient-style oscillator
🧪 Use Case:
This indicator works well across all assets for trend identification. It is particularly effective when used on higher timeframes (e.g. 12H, 1D,2D) to capture mean reversion bounces or confirm breakouts backed by percentile momentum and volatility expansion.
⚠️ Notes:
This is not financial advice. Use in combination with proper risk management and confluence from other tools.
Fibonacci-Based Volume Flow (VFI)Fibonacci-based Volume Flow is an advanced next-generation evolution of LazyBear’s original VFI script that calculates and averages up to 21 Fibonacci-based VFI pairings to create a smoothed composite volume flow signal. This unique and powerful approach reduces noise, adapts to volatility, and provides a clearer view of trend strength and market structure across all timeframes. It also includes dynamic fibonacci guide levels, adaptive lookbacks, EMA crossovers, and structure-aware pivot labeling to help traders identify high-quality reversals, confirm directional bias, and detect divergences with greater precision. It's ideal for traders looking to enhance momentum analysis through volume-based confirmation.
🧠 Key Features🧠
🔹 Multi-VFI Fibonacci Fusion🔹
Blends up to 21 VFI signals (5, 13, 21, 34… up to 610) into smartly paired averages (e.g., 13/34, 55/144) — forming a smoothed composite VFI that’s more adaptive, less noisy, and highly responsive across market conditions.
🔸🔸 Dynamic Lookbacks🔸 🔸
Automatically adjusts histogram high/low tracking based on your chart’s timeframe — no more static tuning. Perfect for scalping fast charts or confirming long-term trends.
🟥🟩 Color-Coded Histogram🟥🟩
Visualizes VFI momentum with gradient coloring.
🧩🧩 Signal Crossovers 🧩🧩
Color-coded crossover lines persistently show bullish or bearish dominance.
Includes three powerful crossover systems:
➖5/13 VFI: Fast, early reversal detection
➖8/21 VFI: Swing-trading sweet spot
➖55/144 VFI: Trend confirmation across long cycles
🏷️ 🏷️Pivot Structure Labels🏷️🏷️
Labels oscillator swings with full structural logic:
➖HH, HL, LH, LL, EQ
➖Displays percent change, price at pivot, oscillator reading
➖Smart coloring detects divergence & trend continuation
📈 📈Dynamic Histogram Guides📈📈
Optional zero and ±50% bands anchor histogram levels based on real histogram extremes, not static thresholds — visually frame momentum shifts with context.
📍 📍Persistent High/Low Pivot Lines📍📍
Track the most significant histogram pivots (not price) across time, with smart labels:
➖Volume flow structure zones
➖Label shows price at pivot, oscillator level, and bars since event
➖Ideal for spotting divergence zones, momentum failures, and trend exhaustion.
🔍 🔍Volatility Table (ATR%)🔍🔍
💡Shows real-time volatility compression or expansion
💡Uses multiple ATR periods (e.g., 14 & 55) for short- and medium-term comparison
💡Helps traders understand whether momentum is likely to continue or stall
🔩🔩Volume-weighted VFI baselines🔩🔩
🟢A daily session-based VWAP of the VFI, which resets each day and highlights intraday volume flow context.
🟠A rolling VWA of VFI, which acts like a VWMA over a fixed window (e.g., 55 bars), smoothing short-term fluctuations and supporting trend/momentum confirmation.
These VWAP-style overlays help traders identify strength vs. weakness relative to volume-weighted baselines — useful for divergence spotting, mean reversion setups, or breakout confirmation.
🧰 🧰Under the Hood: How It Works🧰🧰
🔧 Core VFI Logic
Based on LazyBear’s foundational VFI:
➖Uses log returns of price (HLC3)
➖Filters insignificant moves using volatility-weighted thresholds
➖Normalizes volume via adaptive capping (e.g., 2.5× average)
🌀 Composite Blend System
Each VFI instance is smoothed and then fused via user-selectable pairs. This creates a customizable average VFI representing short, mid, and long-term pressure — one value, many time horizons.
📊 EMA Signal Layer
Crosses trigger persistent color shifts in signal lines, making trend strength clear at a glance.
VFI blend feeds into EMA crossovers. You can toggle visibility for:
➖Fast (5/13)
➖Medium (8/21)
➖Slow (55/144)
🧭 Pivot Framework
Structure logic only compares pivots on same-side polarity:
➖Highs compare to highs above zero
➖Lows compare to lows below zero
This avoids nonsensical comparisons and preserves logical sequences (HH → LH → HL).
🧱 Dynamic Labels
All pivots and persistent levels display:
➖Oscillator value
➖Price value
➖Structure tag (e.g., LH, HL)
➖% change from prior pivot
➖Lookback info
➖Bar age
Unlike traditional VFI:
✅ It blends timeframes with Fibonacci precision
✅ Uses dynamic, volatility-aware logic
✅ Embeds visual structure & divergence intelligence
✅ Enhances entry confidence and exit timing
🔧 This isn’t just an indicator — it’s a volume-informed decision engine.
Ideal For:
🔶Trend-followers wanting cleaner volume-based confirmation
🔶Reversal traders spotting structure + divergence
🔶Scalpers or investors needing adaptable signals
🔶Those who loved LazyBear's VFI
📌 Final Note:
As powerful as Fibonacci Blended Volume Flow is, no single indicator should be used in isolation. For best results, combine it with price action analysis, higher-timeframe context, and complementary tools like trendlines, moving averages, or support/resistance levels. Use it as part of a well-rounded trading approach to confirm setups — not to define them alone.
SAFE Leverage x100Safe Leverage x100 is an indicator designed to help traders choose prudent , realistic, and dynamic leverage , adapted to the timeframe and volatility of the asset they are trading.
B ased on rigorous statistical and practical observation , this indicator does not propose fixed rules, but rather provides a visual estimate of the maximum leverage a typical trade can tolerate without being liquidated , based on the current candle's movement range. At the same time, it automatically suggests a more conservative leverage (by default, half of the maximum) for more controlled risk management.
Just identify which asset accepts the maximum x100 and win.!!
ATR Plots + OverlayATR Plots + Overlay
This tool calculates and displays Average True Range (ATR)-based levels on your chart for any selected timeframe, giving traders a quick visual reference for expected price movement relative to the most recent bar’s open price. It plots guide levels above and below that open and shows how much of the typical ATR-based range has already been covered—all in one interactive table and on-chart overlay.
What It Does
ATR Calculation:
Uses true range data over a user-defined period (default 14), smoothed via RMA, SMA, EMA, or WMA, on the selected timeframe (e.g., 1h, 4h, daily) to calculate the ATR value.
Projected Levels:
Plots four reference levels relative to the open price of the most recent bar on the chosen timeframe:
+100% ATR: Open + ATR
+50% ATR: Open + 50% of ATR
−50% ATR: Open − 50% of ATR
−100% ATR: Open − ATR
Coverage %:
Tracks high and low prices for the current session on the selected timeframe and calculates what percentage of the ATR has already been covered:
Coverage % = (High − Low) ÷ ATR × 100
Interactive Table:
Shows the ATR value and current coverage percentage in a customizable table overlay. Position, color scheme, borders, transparency, and an optional empty top row are all adjustable via settings.
Customization Options
Table Settings:
Position the table (top/bottom × left/right).
Customize background color, text color, border color, and thickness.
Optionally add an empty top row for spacing.
Line Settings:
Choose color, line style (solid/dotted/dashed), and width.
Lines automatically update with each new bar on the selected timeframe, anchored to that bar’s open price.
General Inputs:
ATR length (number of bars).
Smoothing method (RMA, SMA, EMA, WMA).
Timeframe selection for ATR calculations (e.g., 15m, 1h, Daily).
How to Use It for Trading
Measure Volatility: Quickly gauge the expected price movement based on ATR for any timeframe.
Identify Overextension: Use the coverage % to see how much of the expected ATR range is already consumed.
Plan Entries & Exits: Align trade targets and stops with ATR levels for more objective planning.
Visual Reference: Horizontal guide lines and table update automatically as new bars form, keeping information clear and actionable.
Ideal For
Intraday traders using ATR levels to frame trades.
Swing traders wanting ATR-based reference points for larger timeframes.
Anyone seeking a volatility-based framework for planning stops, targets, or identifying overextended conditions.
ADR Plots + OverlayADR Plots + Overlay
This tool calculates and displays Average Daily Range (ADR) levels on your chart, giving traders a quick visual reference for expected daily price movement. It plots guide levels above and below the daily open and shows how much of the day's typical range has already been covered—all in one interactive table and on-chart overlay.
What It Does
ADR Calculation:
Uses daily high-low differences over a user-defined period (default 14 days), smoothed via RMA, SMA, EMA, or WMA to calculate the average daily range.
Projected Levels:
Plots four reference levels relative to the current day's open price:
+100% ADR: Open + ADR
+50% ADR: Open + 50% of ADR
−50% ADR: Open − 50% of ADR
−100% ADR: Open − ADR
Coverage %:
Tracks intraday high and low prices to calculate what percentage of the ADR has already been covered for the current session:
Coverage % = (High − Low) ÷ ADR × 100
Interactive Table:
Shows the ADR value and today's ADR coverage percentage in a customizable table overlay. The table position, colors, border, transparency, and an optional empty top row can all be adjusted via settings.
Customization Options
Table Settings:
Position the table (top/bottom × left/right).
Change background color, text color, border color and thickness.
Toggle an empty top row for spacing.
Line Settings:
Choose color, line style (solid/dotted/dashed), and width.
Lines automatically reposition each day based on that day's open price and ADR calculation.
General Inputs:
ADR length (number of days).
Smoothing method (RMA, SMA, EMA, WMA).
How to Use It for Trading
Measure Daily Movement: Instantly know the expected daily price range based on historical volatility.
Identify Overextension: Use the coverage % to see if the market has already moved close to or beyond its typical daily range.
Plan Entries & Exits: Align trade targets and stops with ADR levels for more objective intraday planning.
Visual Reference: Horizontal guide lines and table update automatically as new data comes in, helping traders stay informed without manual calculations.
Ideal For
Intraday traders tracking daily volatility limits.
Swing traders wanting a quick reference for expected price movement per day.
Anyone seeking a volatility-based framework for planning targets, stops, or identifying extended market conditions.
