Premarket + Previous Day High/LowPremarket & Previous Day High/Low Indicator for TradingView
This TradingView script displays two essential sets of price levels to help identify key support and resistance zones throughout the trading day:
🔍 What it Does
Premarket High/Low Levels
Tracks the high and low price between 4:00 AM and 9:30 AM EST (premarket session).
Once the market opens, it locks in those levels and plots them across the rest of the trading day for easy reference.
Helps you spot potential breakouts, rejections, or support/resistance around early session extremes.
Previous Day High/Low Levels
Displays the prior day’s high and low using data from the daily timeframe.
Useful for identifying major zones where price might bounce, reverse, or consolidate.
🎯 How Traders Use It
Identify potential gap fills, breakouts, or fakeouts.
Build trading setups using price action around key zones.
Combine with other indicators (RSI, volume, EMA, etc.) for confluence.
Use for risk management or stop loss placement near known levels.
Indicadores de amplitud
Renko Velocity Meter [Chris Chapman]Here is the comprehensive copy for your Renko Velocity Meter indicator. This is structured to be used in a TradingView description, a manual, or a product listing.
Renko Velocity Meter
What is this Indicator?
The Renko Velocity Meter is a specialized momentum dashboard designed strictly for Renko Charts. Unlike standard oscillators (like RSI or MACD) which often fail on Renko due to the lack of time-based data, this tool uses "Brick Physics" to measure the actual speed and efficiency of price movement.
It answers the most critical question in Renko trading: "Is this a real trend, or just a choppy consolidation?"
Instead of giving you lagging signals, it provides a real-time Velocity Score (0-100) displayed on a dashboard directly on your chart. It automatically filters out "fake" moves and highlights high-probability "TURBO" conditions when the market enters a powerful extension phase.
How It Is Calculated
The Velocity Score is derived from a proprietary blend of three distinct mathematical checks:
1. Trend Efficiency ("The Snake Logic") The script calculates the ratio between the Net Price Move and the Total Distance Traveled over a lookback period.
High Efficiency: Price is moving in a straight line (Strong Trend).
Low Efficiency: Price is winding back and forth (Chop/Range).
2. Momentum Deviation (Auto-Brick Detection) The indicator automatically detects your specific Renko brick size (whether 2 pips, 10 points, or custom) without manual input. It then measures how many "Bricks" the price has pulled away from the baseline Moving Average.
If price is 6+ bricks away from the average, it signals a high-momentum extension.
3. HTF Trend Lock (Multi-Timeframe Filter) It internally checks a Higher Timeframe (default: 15-minute) to ensure you are trading with the dominant trend.
HTF LOCK: The Renko trend and the 15m trend are aligned (Green).
HTF MIX: The trends are conflicting. The score is automatically capped at 60 to prevent false signals.
4. The "Counter-Trend" Penalty To prevent buying tops or selling bottoms, the script instantly penalizes the score if a "Retracement Brick" forms.
Example: If the trend is UP, but a RED brick forms, the score is forced down to the "Yellow/Neutral" zone until the trend resumes.
Requirements
To use this indicator effectively, you must meet the following chart conditions:
Chart Type: Renko (This is mandatory. The math relies on fixed-size bricks).
Timeframe: Works on all timeframes, but optimized for standard scalping setups (e.g., 2-pip fixed bricks on EURUSD/Gold).
Data Feed: High-quality data is recommended. For maximum precision, use a 1-second (1s) interval setting for your Renko box generation if your TradingView plan allows it.
The Inputs (Settings)
You can customize the sensitivity of the meter to fit your specific asset class:
Trend Efficiency Period (Default: 14):
The number of bricks used to calculate how "straight" the trend is. Lower numbers make the score faster; higher numbers make it smoother.
Momentum Baseline (Default: 20):
The length of the internal Moving Average used as the "mean" price.
Max Momentum in Bricks (Default: 6):
How many bricks of extension are required to hit a "100% Score"? Increase this for volatile assets like Gold or Bitcoin.
HTF Support (Default: 15):
The Higher Timeframe used for the Trend Lock filter.
Meter Position:
Choose where the dashboard appears on your screen (Top Right, Bottom Left, etc.).
Dashboard Legend
GREEN (Score > 70): TURBO – Strong trend alignment. High probability of continuation.
YELLOW (Score 50-70): TREND – Active trend, but potentially stalling or retracing.
RED (Score < 50): CHOP – No clear direction or conflicting signals. Stay flat.
POSITION: Shows the current logic state (LONG/SHORT/FLAT).
EURUSD Smart Signal Bot (15m + 1H) DkS-SignalBotEURUSD Smart Signal Bot (15m + 1H) is a signal-based indicator designed to identify buy and sell opportunities on the EURUSD forex pair.
It uses confluence from:
• 20 and 50 EMAs on the 15-minute timeframe for entries
• 200 EMA on the 1-hour timeframe to confirm the main trend
• RSI filter to measure momentum
• London and New York trading sessions filter
The indicator displays BUY and SELL signals, Stop Loss levels based on recent swing highs/lows, and Take Profit targets calculated using Risk/Reward (RR) ratios.
This tool is intended for intraday trading and structured scalping in the forex market.
⚠️ This indicator does not guarantee results and should be used with proper risk management.
DkSPro Market Analysis XRPUSDT UsBinance HH HL LH LLDkSPro – Market Analysis (XRPUSDT) | Strategy Version
DkSPro – Market Analysis is an institutional-grade scalping strategy designed specifically for XRPUSDT on Binance.US.
This strategy was built to help traders make high-probability, fee-aware decisions by filtering out low-quality trades, market noise, and conditions where exchange fees would negatively impact profitability.
Unlike generic indicators, DkSPro focuses on precision, confirmation, transparency, and risk control, making it ideal for serious traders who value consistency over overtrading.
⸻
✅ Key Advantages
✔ Institutional-grade logic
✔ Optimized for XRPUSDT scalping
✔ Clearly explains why trades are taken or rejected
✔ Actively reduces bad and low-quality trades
✔ Professional structure, easy to publish, sell, or automate
⸻
🔍 What This Strategy Analyzes
DkSPro combines past market structure with real-time confirmation tools to evaluate both the present and historical context of price action:
• Higher Timeframe trend confirmation using EMA structure
• Lower Timeframe execution for precise scalping entries (15m / 5m)
• Market structure analysis (swing highs & lows)
• Valid breakout detection (not fake moves)
• Volume confirmation (real participation only)
• Momentum validation via RSI
• Fee-aware filtering for Binance.US (0.57% trading fee)
• Dynamic confidence scoring to validate trade quality
Trades are triggered only when all conditions align, significantly reducing false signals and emotional entries.
⸻
⚙️ Core Strategy Logic
A trade is executed only if all of the following conditions are met:
✔ Trend direction is clearly confirmed
✔ EMA structure is properly aligned
✔ Market structure breakout is valid
✔ Volume exceeds average participation
✔ Momentum supports continuation
✔ Confidence score meets minimum quality threshold
✔ Expected price movement exceeds exchange fees
If any single condition fails, the strategy does not enter a trade.
⸻
🧠 Smart Trade Transparency
DkSPro visually explains:
• Why a trade is taken
• Why a trade is NOT taken
• Current Market State (RANGE / TREND / BREAKOUT)
• Real-time Confidence Score (%)
This allows traders to fully understand market behavior instead of blindly following signals.
⸻
🔔 Alerts & Automation Ready
• Clean and precise BUY & SELL alerts
• Fully compatible with TradingView alerts
• Ready for webhooks, bots, and automated execution
• Suitable for manual, semi-automatic, or fully automated trading
⸻
⚠️ FINAL RECOMMENDATION (VERY IMPORTANT)
👉 Use the 15-minute timeframe to identify setups
👉 Use the 5-minute timeframe for precise trade entries
👉 Do NOT start testing this strategy on the 1-minute timeframe
👉 Always backtest for a minimum of 2–4 weeks before trading live
This strategy performs best under proper timeframe alignment and controlled conditions. Ignoring these recommendations may lead to inconsistent results.
⸻
🧠 Who This Strategy Is For
✔ XRP scalpers
✔ Binance.US traders
✔ Traders who want fee-aware entries
✔ Traders who prefer confirmation over guessing
✔ Traders focused on consistency, discipline, and risk management
⸻
⚠️ Risk Disclaimer
This strategy is a technical analysis tool, not financial advice.
Market conditions can change rapidly. Always manage risk properly and **never trade with capital
MA 9 & MA 20 Crossover + EMA200 + CONFIRMED + RSI OB/OS (Alerts)Tesing this strategy. This will not work for all coins. this is short specific coins
Trend Entry Signal v2Used for entry signals. More efficient for scalp trades, at least 70% correct prediction, more efficent on stablecoins.
Manual Backtest Dashboard (100 Trades)Manual Backtest Dashboard (100 Trades) is a lightweight TradingView indicator designed to help traders manually record and evaluate their trading performance directly on the chart. This tool is built specifically for discretionary traders such as SMC, price action, scalping, and intraday traders who want to analyze their win rate and overall performance without relying on the Strategy Tester.
The indicator works by allowing users to input their trade results manually through the settings panel. Each trade is recorded using simple values: 1 for a winning trade, -1 for a losing trade, and 0 for an empty or uncounted trade. The dashboard automatically calculates the total number of trades entered, the number of wins and losses, and the win rate percentage in real time. Users do not need to fill all 100 trade slots, as only trades with non-zero values are included in the calculations.
This indicator does not place trades or generate buy and sell signals. Instead, it focuses purely on performance evaluation, making it ideal for subjective backtesting, forward testing, and manual trading journals. The dashboard is clean, lightweight, and does not clutter the price chart, ensuring a smooth and distraction-free trading experience. The script is stable, efficient, and does not repaint, making it a reliable tool for traders who want to track and improve their consistency over time.
MTT Cyclical vs Defensive Z-ScoreThe MTT Cyclical vs Defensive Z-Score is a sophisticated sentiment and rotation indicator designed to measure the relative strength of "risk-on" sectors against "risk-off" havens. It calculates a ratio between two distinct baskets: Cyclicals (Consumer Discretionary, Industrials, Materials) and Defensives/Commodities (Consumer Staples, Health Care, Utilities, and the DBC Commodity Index).
By applying a Z-score calculation to this ratio, the indicator identifies how many standard deviations the current market leadership is away from its mean. This transforms a simple ratio into a powerful tool for identifying market extremes and potential pivot points.
How the Indicator Works
The script follows a logical three-step process to quantify market sentiment:
Basket Comparison: It pits growth-sensitive sectors (which thrive during economic expansion) against defensive sectors and commodities (which act as anchors or inflation hedges).
Mean Reversion: It uses a Simple Moving Average (SMA) and Standard Deviation over a 20-period lookback to determine the "normal" range for this relationship.
Standardization: The resulting Z-score oscillates around a zero line. Green columns represent periods where cyclicals are outperforming their recent average, while red columns indicate defensive leadership.
How to Use It for Trading
The Z-score serves as a barometer for overextended market moves:
Identifying Extreme Optimism: When the Z-score crosses above +2.0, cyclicals are significantly overextended. This suggests the "risk-on" move may be exhausted, signaling a potential pullback or a rotation back into defensive stocks.
Identifying Extreme Fear: When the Z-score drops below -2.0, defensives and commodities are heavily favored. This often coincides with market bottoms or "washouts," suggesting that a bounce in cyclical sectors (and the broader market) may be imminent.
Trend Confirmation: Crossing the 0.0 (Mean) line acts as a momentum shifter. Moving from negative to positive suggests a fresh bullish rotation is gaining traction.
CVD-MACD### CVD-MACD (Research)
The CVD-MACD is a research-oriented indicator that combines Cumulative Volume Delta (CVD) with the classic MACD framework to provide insights into market momentum and potential reversals. Unlike a standard MACD based on price, this version uses CVD (the running total of buy vs. sell volume delta) as its input source, offering a volume-driven perspective on trend strength and divergences.
Key Features:
- **CVD-Based MACD Calculation**: Computes MACD using CVD instead of price, highlighting volume imbalances that may precede price moves.
- **Dual Divergence Detection**: Identifies bullish/bearish divergences on both the MACD line and histogram, with configurable pivot lookbacks and filters (e.g., momentum decay and zero-side consistency).
- **Visual Flexibility**: Toggle divergences in the indicator pane or overlaid on the main chart, with optional raw CVD line for reference.
- **Alerts**: Built-in conditions for bullish and bearish divergences to notify users of potential setups.
###This indicator is designed for research and experimentation—it's not financial advice. It performs best on liquid assets with reliable volume data (e.g., stocks, futures). I've shared this to gather community feedback: please test it thoroughly and point out any bugs, inefficiencies, or improvements! For example, if you spot issues with divergence detection on certain timeframes or symbols, let me know in the comments. Your input will help refine it.
Inspired by volume analysis techniques; open to collaborations or forks.
## User Manual for CVD-MACD (Research)
### Overview
The CVD-MACD indicator transforms traditional MACD by using Cumulative Volume Delta (CVD) as the base input. CVD accumulates the net delta between estimated buy and sell volume per bar, providing a volume-centric view of momentum. The indicator plots a MACD line, signal line, and histogram, while also detecting divergences on both the MACD line and histogram for potential reversal signals.
This manual covers setup, interpretation, and troubleshooting.
Note: This is a research tool—backtest and validate on your own data before using in live trading.
### Installation and Setup
1. **Add to Chart**: Search for "CVD-MACD (Research)" in TradingView's indicator library or paste the script into the Pine Editor and add it to your chart.
2. **Compatibility**: Works on any timeframe and symbol with volume data. Best on daily/intraday charts for stocks, forex, or futures. Avoid illiquid symbols where volume may be unreliable.
3. **Customization**: All inputs are configurable via the indicator's settings panel. Defaults are optimized for general use but can be tuned based on asset volatility.
### Input Parameters
The inputs are grouped for ease of use:
#### MACD Settings
- **Fast EMA (CVD)** (default: 12): Length of the fast EMA applied to CVD. Shorter values make it more responsive to recent volume changes.
- **Slow EMA (CVD)** (default: 26): Length of the slow EMA on CVD. Longer values smooth out noise for trend identification.
- **Signal EMA** (default: 9): Smoothing period for the signal line (EMA of the MACD line).
#### Divergence Logic (MACD Line)
- **Pivot Lookback (MACD Line)** (default: 5): Bars to look left/right for detecting pivots on the MACD line. Higher values detect larger swings but may miss smaller divergences.
- **Max Lookback Range (MACD Line)** (default: 50): Maximum bars between two pivots to consider a divergence valid. Prevents detecting outdated signals.
- **Enable Momentum Decay Filter (Histogram)** (default: false): When enabled, requires the histogram to show decaying momentum (absolute value decreasing) for MACD-line divergences to trigger.
#### Histogram Divergence
- **Pivot Lookback (Histogram)** (default: 5): Similar to above, but for histogram pivots.
- **Max Lookback Range (Histogram)** (default: 50): Max bars for histogram divergence detection.
- **Show Histogram Divergences in Indicator Pane** (default: true): Displays dashed lines and "H" labels for histogram divergences in the sub-window.
- **Show Histogram Divergences on Main Chart** (default: true): Overlays histogram divergences on the price chart with semi-transparent lines and labels.
- **Require Histogram to Stay on Same Side of Zero** (default: true): Filters divergences to only those where the histogram doesn't cross zero between pivots, ensuring consistent momentum direction.
#### Visuals (Dual View)
- **Show MACD-Line Divergences (Indicator Pane)** (default: true): Draws solid lines and "L" labels for MACD-line divergences in the sub-window.
- **Show MACD-Line Divergences (Main Chart)** (default: true): Overlays MACD-line divergences on the price chart.
- **Show Raw CVD Line** (default: false): Plots the underlying CVD as a faint gray line for reference.
### How to Interpret the Indicator
1. **Core Plots**:
- **MACD Line** (blue): Difference between fast and slow CVD EMAs. Above zero indicates building buy volume momentum; below zero shows sell dominance.
- **Signal Line** (orange): EMA of the MACD line. Crossovers can signal potential entries/exits (e.g., MACD above signal = bullish).
- **Histogram** (columns): MACD minus signal. Green shades for positive/expanding bars (bullish momentum); red for negative/contracting (bearish). Fading colors indicate weakening momentum.
- **Zero Line** (gray horizontal): Reference for bullish (above) vs. bearish (below) territory.
- **Raw CVD** (optional gray line): The cumulative buy-sell delta. Rising = net buying; falling = net selling.
2. **Divergences**:
- **Bullish (Green Lines/Labels)**: Occur when price makes lower lows, but MACD line or histogram makes higher lows. Suggests weakening downside momentum and potential reversal up. Look for "L" (MACD line) or "H" (histogram) labels.
- **Bearish (Red Lines/Labels)**: Price higher highs vs. MACD/histogram lower highs. Indicates fading upside and possible downturn.
- **Dual View**: Divergences appear in the indicator pane (sub-window) for clean analysis and overlaid on the main chart for price context. Histogram divergences use dashed lines to distinguish from MACD-line (solid).
- **Filters**: Momentum decay ensures only "hidden" or weakening divergences trigger. Zero-side filter prevents false signals from oscillating histograms.
3. **Alerts**:
- **Bullish Divergence (L or H)**: Triggers on either MACD-line or histogram bullish divergence. Message: "CVD-MACD Bullish Divergence detected on {{ticker}}".
- **Bearish Divergence (L or H)**: Similar for bearish. Use TradingView's alert setup to notify via email/SMS/webhook.
- Tip: Combine with price action (e.g., support/resistance) for confirmation.
### Usage Tips and Strategies
- **Trend Confirmation**: Use in uptrends for bullish divergences (pullback buys) or downtrends for bearish (short entries).
- **Timeframe Selection**: Higher timeframes (e.g., daily) for swing trading; lower (e.g., 15-min) for intraday. Adjust pivot lookbacks accordingly (shorter for faster charts).
- **Combination Ideas**: Pair with RSI for overbought/oversold confirmation or VWAP for intraday volume context.
- **Risk Management**: Divergences are probabilistic—not guarantees. Always use stop-losses based on recent swings.
- **Performance Notes**: Backtest on historical data via TradingView's Strategy Tester. CVD relies on accurate volume; test on exchanges like NYSE/NASDAQ.
### Known Limitations and Troubleshooting
- **Volume Dependency**: CVD estimation assumes linear buy/sell distribution based on bar position—may be less accurate on thin markets or during gaps.
- **Repainting**: Pivots and divergences can repaint as new data arrives (common in pivot-based indicators). Use on closed bars for reliability.
- **Resource Usage**: High max_bars_back (5000) ensures deep history; reduce if chart loads slowly.
- **No Signals on Low-Volume Bars**: If CVD flatlines, check symbol volume—some crypto/forex pairs have inconsistent data.
- **Community Feedback**: If you encounter bugs (e.g., false divergences on specific symbols/timeframes), missing alerts, or calculation errors, please comment below with details like symbol, timeframe, and screenshots. Suggestions for enhancements (e.g., more filters or visuals) are welcome!
If you have questions or find issues, drop a comment—let's improve this together!
BTCUSD 1D Trend Strategy [Gemini]1Dchart
100% of equity per trade
0.1% commission
1 tick slippage
please convert this indicator to a trading strategy as you see fit
find attached the date of the chart and the indicator on BTCUSD 1D chart so you can make a better decision when to buy and sell
avoid forward looking and repainting at all costs.
Don't add tables to the chart
don't ever use line breaks in function calls:
long only
2018-2069
1D chart
100% of
Teacher Agent: OBV-ADX+Volume Overlay V6This is an OBV ADX I modified from another user (kocurekc). I removed the histogram and made it an overlay then added volume multiplier to only throw signals when volume is above average.
TX Ultra Zone Consolidation Detector## TX Ultra Zone Consolidation Detector ##
Overview TX Ultra Zone is an advanced market structure utility designed to automatically detect periods of consolidation, indecision, and sideways movement. By isolating ranging markets, it helps traders avoid "choppy" conditions and prepare for high-probability breakouts.
What It Does
Automatic Detection: Draws visual boxes around price action when volatility compresses.
Breakout Projection: Once price breaks the box, it projects a "Shadow Zone" forward. This shadow serves as a key reference for Support-becomes-Resistance (or vice versa) retests.
Noise Filtering: Helps you stay out of the market when no clear trend exists.
How It Works (Conceptual) The script uses a multi-layer detection engine:
Regime Detection: It analyzes market efficiency and volatility (using adaptive logic) to determine if the market is trending or ranging.
Geometry Confinement: When a range is detected, the script locks the High and Low boundaries.
Expansion & Breakout: The box dynamically expands if price pushes the boundary slightly without a true breakout. A valid breakout closes the box and triggers the Shadow Extension.
How to Use
Add to Chart: Works best on volatility-sensitive assets (Forex, Crypto, Indices).
Wait for the Box: When a Purple Box appears, the market is resting. Do not trade trends inside the box.
Trade the Breakout: Wait for a candle close outside the box.
Use the Shadow: The Grey Shadow Extension indicates where price might return to "retest" the breakout level. This is often a prime entry zone.
Settings & Tuning
Detection Engine: Switch between Adaptive Volatility (Standard) or Momentum Compression (Alternative).
Zone Threshold:
45-50: Sensitive (More boxes, catches micro-ranges).
55-60: Strict (Only catches very clear, tight consolidation).
Shadow Extension: Adjust how far into the future the support/resistance zone is projected.
Disclaimer This tool is for educational and analytical purposes only. Past performance does not guarantee future results. Always use proper risk management.
XRP / USDT Scalper PRO (Binance US) DkSAlert-AnalyticsXRP / USDT Scalper PRO (Binance US) DkSAlert-Analytics is an aggressive yet risk-aware scalping indicator designed specifically for trading XRPUSDT on Binance US, where higher trading fees are taken into account.
This script is built to filter low-quality trades and only trigger signals when the potential price movement clearly exceeds the Binance US trading fee (~0.57%).
The indicator combines multiple confirmations to produce high-probability BUY and SELL signals:
• Fast and mid EMAs for short-term trend and entries
• 200 EMA on the 1H timeframe for higher-timeframe trend direction
• Breakout detection based on recent swing highs and lows
• Volume confirmation to validate momentum
• RSI filter to avoid weak or exhausted moves
• Fee-aware risk filter to ensure trades have sufficient profit potential
The script automatically plots:
• BUY and SELL labels
• Stop Loss levels based on recent market structure
• Take Profit targets using a minimum Risk/Reward model
This indicator is designed for high-frequency scalping and short-term trading, while maintaining strict filters to reduce overtrading and fee impact.
⚠️ This script does not guarantee profits and should always be used with proper risk management.
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following
Introduction
The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior.
Originality and Innovation
Distinct Methodological Approach
What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems.
Key Original Contributions:
Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise.
Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework.
Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture.
Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy.
Technical Implementation and Functionality
Core Operational Mechanism
DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades.
The Four-Pillar Architecture:
Volatility Measurement and Normalization
Calculates Average True Range (ATR) over a user-defined period
Converts absolute volatility to percentage terms relative to price
Compares current volatility against user-defined thresholds to filter suboptimal conditions
Dynamic Trailing Stop Algorithm
Establishes an initial stop distance based on current volatility
Implements a four-state adjustment mechanism that responds to price action
Maintains stop position during trend continuation while allowing for trend reversal detection
Conditional Signal Generation
Generates entry signals only when price action meets both directional and volatility criteria
Produces exit signals based on trailing stop penetration
Incorporates position state awareness to prevent conflicting signals
Comprehensive Feedback System
Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action
Displays real-time metrics through an integrated dashboard
Offers configurable visualization options for different trading styles
Specific Trend-Following Methodology
DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods:
Not a moving average crossover system (like MACD or traditional MA crosses)
Not a channel breakout system (like Bollinger Band or Donchian Channel breaks)
Not a momentum oscillator system (like RSI or Stochastic trend following)
Not a price pattern recognition system (like head-and-shoulders or triangle breaks)
Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that:
Wait for market volatility to reach actionable levels
Establish positions when price confirms directional bias through stop penetration
Manage risk dynamically based on evolving market conditions
Exit positions when the trend exhausts itself through stop violation
Practical Application and Usage
Market Environment Optimization
Ideal Conditions:
Trending markets with sustained directional movement
Medium volatility environments (neither excessively calm nor chaotic)
Timeframes: 4-hour to daily charts for optimal signal quality
Instruments: Forex majors, commodity futures, equity indices
Suboptimal Conditions:
Ranging or consolidating markets
Extreme volatility events or news-driven spikes
Very short timeframes (below 1-hour)
Illiquid or highly manipulated instruments
Parameter Configuration Strategy
Core Parameter Philosophy:
ATR Length (Default: 21 periods)
Controls the system's memory of volatility
Shorter lengths increase sensitivity but may cause overtrading
Longer lengths provide smoother signals but may lag during volatility shifts
ATR Multiplier (Default: 6.3x)
Determines the initial risk buffer
Lower values (4-5x) create tighter stops for conservative trading
Higher values (6-8x) allow for larger trends but increase drawdown risk
Volatility Threshold (Default: 1.5%)
Filters out low-quality trading environments
Adjust based on market characteristics (higher for volatile markets)
Acts as a quality control mechanism for signals
Trading Workflow and Execution
Signal Interpretation and Action:
Entry Protocol:
Wait for BLUE "BUY" signal label appearance
Confirm volatility conditions meet threshold requirements
Enter long position at market or next reasonable opportunity
Set initial stop at displayed dynamic stop level
Position Management:
Monitor dynamic stop line for position adjustment
Allow profits to run while stop protects capital
No manual adjustment required—system manages stop automatically
Exit Protocol:
Exit on ORANGE "SELL" signal label appearance
Alternative exit if price hits dynamic stop level
System will generate new entry signal if conditions warrant re-entry
Risk Management Integration:
Position sizing based on distance to dynamic stop
Volatility filter prevents trades during unfavorable conditions
Clear visual feedback on current risk exposure
Built-in protection against overtrading
Philosophical Foundation and Market Theory
Core Trading Principles
DATR-TS embodies several foundational market principles:
Volatility Defines Opportunity
Markets don't trend continuously—they alternate between trending and ranging phases
Volatility provides the energy for trends to develop and sustain
By measuring and filtering volatility, we can focus on high-probability trend phases
Risk Should Be Proportional
Fixed percentage stops ignore market context
Dynamic stops that adjust with volatility provide more appropriate risk management
Position sizing should reflect current market conditions, not arbitrary rules
Simplicity Through Sophistication
Complex systems often fail in real-world conditions
A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches
Clear visual feedback reduces cognitive load and emotional interference
Trends Persist Until Proven Otherwise
Markets exhibit momentum characteristics
Once a trend establishes itself, it tends to continue
The trailing stop methodology captures this persistence while providing exit mechanisms
Mathematical and Statistical Foundation
The system operates on several statistical market observations:
Volatility Clustering Phenomenon
High volatility periods tend to follow high volatility periods
Low volatility periods tend to follow low volatility periods
By filtering for adequate volatility, we increase the probability of capturing meaningful trends
Trend Magnitude Distribution
Most trends are small to medium in magnitude
Very large trends are rare but account for disproportionate returns
The dynamic stop methodology allows capture of varying trend magnitudes
Autocorrelation in Price Movements
Price movements exhibit short-term positive autocorrelation during trends
This persistence allows trailing stops to capture continued movement
The system leverages this characteristic without requiring explicit autocorrelation calculation
Performance Characteristics and Expectations
Typical System Behavior
Signal Frequency:
Low to moderate signal generation (prevents overtrading)
Signals concentrated during trending market phases
Extended periods without signals during ranging conditions
Risk-Reward Profile:
Win rate typically 40-60% in trending conditions
Average win larger than average loss
Risk-reward ratios of 1:2 to 1:3 achievable
Drawdown Patterns:
Controlled through volatility adjustment
Larger drawdowns during extended ranging periods
Recovery typically follows when trending conditions resume
Comparison with Alternative Approaches
Versus Moving Average Systems:
Less prone to whipsaws during ranging markets
Better adaptation to changing volatility conditions
Clearer exit signals through stop levels
Versus Channel Breakout Systems:
More responsive to emerging trends
Lower false breakout probability
Dynamic risk adjustment rather than fixed parameters
Versus Momentum Oscillator Systems:
Better trend persistence capture
Less susceptible to overbought/oversold false signals
Clearer position management rules
Educational Value and Skill Development
Learning Opportunities
DATR-TS serves as more than just a trading tool—it provides educational value through:
Market Condition Awareness
Teaches traders to distinguish between trending and ranging markets
Develops understanding of volatility's role in trading opportunities
Encourages patience and selectivity in trade execution
Risk Management Discipline
Demonstrates dynamic position sizing principles
Illustrates the importance of adaptive stops
Reinforces the concept of risk-adjusted returns
Psychological Skill Development
Reduces emotional trading through clear rules
Builds patience through conditional execution
Develops discipline through systematic approach
Customization and Evolution
The system provides a foundation for further development:
Beginner Level:
Use default parameters for initial learning
Focus on signal recognition and execution discipline
Develop understanding of system behavior across market conditions
Intermediate Level:
Adjust parameters based on specific market characteristics
Combine with complementary analysis techniques
Develop personal variations based on trading style
Advanced Level:
Integrate with portfolio management systems
Develop automated execution frameworks
Create derivative systems for specialized applications
Conclusion: The Modern Trend-Following Paradigm
The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically.
This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments.
For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following.
The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
Cycle Timing Framework - Adaptive Point MappingThis indicator is a visual cycle-timing framework designed to help traders study when recurring turning points tend to occur within a repeating market cycle.
Instead of reacting only to indicators that respond after price moves, this tool focuses on time structure — mapping recurring points inside a fixed-length cycle and projecting that same structure across past, current, and forward cycles for contextual reference.
Each cycle point is fully configurable, allowing the model to be tuned to individual assets, timeframes, or market regimes.
🔍 What This Indicator Does
Draws a repeating cycle template (default: 122 bars)
Displays up to 35 recurring cycle points per cycle
Projects the same structure across:
Past cycles (for validation)
The current cycle (for context)
Future cycles (for planning reference)
Allows point-by-point customization:
Enable / disable any point
Independent bar offsets per point
Individual colors for visual grouping
Optional tolerance windows (± bars) around each point
Optional numbered markers for clean point identification
This is a non-predictive, non-trading tool intended for cycle research, timing context, and structural alignment.
🛠 How to Use It (Workflow)
1️⃣ Choose Your Timeframe First
Cycle behavior is timeframe-dependent.
Decide whether you are working on Daily, Weekly, or another timeframe before tuning offsets.
2️⃣ Define the Cycle
Cycle Length (bars)
Sets the total cycle duration (default: 122).
Bars Back to Current Cycle Start
Anchors the current cycle to a known starting point.
Bars Back Lookback
Controls how many historical cycles are displayed.
3️⃣ Tune the Points
In Point Offsets (Bars):
Adjust each point so its vertical line aligns with recurring highs, lows, or pivots.
Disable points that are not relevant to the asset.
Use color groupings to distinguish high-probability or structural points.
This tuning process is intentionally manual to encourage asset-specific calibration.
4️⃣ Use Window Bands for Flexibility
Enable ± Window Bands if turning points tend to vary by a bar or two.
This helps visualize timing zones instead of single-bar precision.
5️⃣ Validate with Bar Replay
Use TradingView’s Bar Replay feature to:
Step through historical price action
Observe how consistently points align
Refine offsets where necessary
This is the intended validation method for this indicator.
🎯 Intended Use Cases
Cycle and rhythm analysis
Timing context for other indicators
Structural alignment across market phases
Studying recurring turning points on a specific asset
Educational and research-oriented cycle mapping
This indicator is designed to complement — not replace — price action, trend analysis, or risk management.
⚠ Important Notes
This script does not place trades
It does not generate buy/sell signals
It does not guarantee future outcomes
Forward projections are visual references only
Always confirm with additional analysis
This tool is best used as a context layer, helping answer when something may be more likely to occur — not what will occur.
🧠 Final Thought
Markets often move with rhythm, but that rhythm is asset-specific.
This indicator is intentionally flexible so the same cycle engine can be adapted to different instruments without forcing a one-size-fits-all model.
If you study cycles, this script gives you a clean, disciplined framework to do so directly on the chart.
TVS
#Overview
The TVS strategy looks for areas of low volatility or ‘squeezes’ and then relies on momentum to identify a breakout. This is intended to help a trader wait for a consolidation phase before entering a market when energy is released.
---
How It Works
TVS uses Bollinger Bandwidth as a measure of market compression to define the "squeeze" conditions of low volatility. When the distance between the upper and lower Bollinger Bands contracts below its own average, the indicator flags the market as compressed and color codes candles purple. Once volatility expands and the squeeze ends, TVS toggles on momentum confirmation via RSI: candles light green as bullish momentum is in control and red when bearish momentum takes over. The color system observes strict priority whereby volatility compression overrides all trend signals, with any consideration of direction being subject to the release of the squeeze.
Color Priority
• Deep Purple: Active squeeze (low volatility)
• Green / Red: Squeeze released
– Green: Bullish
– Red: Bearish
---
Trading Checklist
-Purple candles? → Market is compressing
-Purple ended?→ Breakout phase
-Green or Red? → Direction confirmed
-Near key structure? → Manual validation
Settings and Usage
Timeframes: 15m–Daily
Best Markets: Forex majors, liquid stocks
Inputs: length (BB basis), mult (band sensitivity)
Risk Notes:
Squeezes can fail and reverse
No built-in stop-loss
News reduces signal reliability
Risk Management is mandatory.
Stable MES Fakeout AlertHow to read the new Dashboard
Bright Red Cell: The market is at +1000 or higher. This is your "Don't Buy/Start Shorting" zone.
Bright Green Cell: The market is at -1000 or lower. This is your "Don't Sell/Start Buying" zone.
Faded Green/Red: The market is trending but not yet at a mathematical extreme.
A Strategy Secret for the Reversal
When the Dashboard turns Bright Red (TICK > 1000) and the price hits the Red VWAP Band, don't just market sell.
Wait for the TICK value to start dropping (e.g., from 1100 down to 900).
Wait for the first Red Candle to close on your 1-minute chart.
Place your stop loss just a few ticks above the "swing high" created at the band.
This "waiting for the turn" ensures you aren't trying to catch a speeding freight train.
Ranked Exchange Volume (REV)📊 Ranked Exchange Volume (REV) - Multi-Venue Volume Distribution Visualizer
## Stop Guessing Where the Real Volume Is. See It.
Most traders look at aggregate volume and miss the critical story: **where** that volume actually traded. Ranked Exchange Volume (REV) solves this by revealing the complete liquidity landscape across multiple trading venues in a single, elegant visualization.
This isn't just another volume indicator—it's a **dynamic stratified histogram** that automatically reorganizes exchange layers by magnitude on every bar, showing you **instant market dominance** at a glance.
---
## 🎯 The Core Innovation: Self-Organizing Volume Layers
REV displays volume from up to 10 different exchanges as **stacked, color-coded bars** where the largest volume source literally rises to the top. Watch as exchanges compete for dominance in real-time:
- **Largest volume = Top of the bar** (most visible position)
- **Smallest volume = Bottom of the bar** (foundation layer)
- **Everything in between = Automatically sorted on every candle**
This visual hierarchy makes it instantly obvious which venues are leading the market—no mental math required.
---
## ✨ Key Features
### 🔄 **Dynamic Layer Sorting**
Unlike static stacked charts, REV uses real-time stratification. If Binance had 60% of volume last bar but Coinbase takes 70% this bar, you'll see Coinbase jump to the top. The hierarchy reflects current reality, not a fixed order.
### 🎨 **10 Fully Customizable Exchange Slots**
Each exchange slot offers complete control:
- **Enable/Disable toggle** - Turn exchanges on/off without losing your configuration
- **Custom prefix** - Track ANY exchange on TradingView (BINANCE, KRAKEN, OANDA, FXCM, etc.)
- **Custom suffix** - Specify quote currency (USDT, USD, EUR, or leave blank for stocks/forex)
- **Display name** - Control how exchanges appear in the rankings table
- **Color selection** - Match your chart theme or use brand colors for instant recognition
### 📊 **Live Rankings Table**
A real-time leaderboard shows:
- **Rank** - Current position (1 = highest volume)
- **Exchange name** - With color-coded background
- **Volume** - Intelligently formatted with K/M/B units
- **Percentage** - Exact market share
**Table positioning:** Choose from 9 screen positions (top/middle/bottom × left/center/right) to keep your chart clean.
### 🧮 **Intelligent Volume Formatting**
REV automatically detects volume magnitude and applies the appropriate scale:
- **Billions** - Displays as "1.5B" for readability
- **Millions** - Displays as "342.8M"
- **Thousands** - Displays as "45.2K"
- **Full numbers option** - Toggle to see complete values (23,456,789)
The scale adjusts per-bar, so you always see the clearest representation.
### 🚨 **Three Built-In Alert Conditions**
1. **Exchange Dominance Alert (>50%)**
- Triggers when a single venue controls majority of volume
- Signals potential liquidity concentration risk or exchange-specific events
2. **Volume Spike Alert (>2x average)**
- Detects unusual aggregate activity across all venues
- Catches breakouts, news events, or institutional flow
3. **Liquidity Migration Alert**
- Fires when market leadership shifts between exchanges
- Reveals arbitrage opportunities or changing market structure
### 📈 **Optional Total Volume Line**
Display aggregate volume from all exchanges as a reference overlay with customizable color.
---
## 🌍 Market Compatibility: Beyond Crypto
While optimized for cryptocurrency (its primary design), REV works across multiple asset classes:
### ✅ **Cryptocurrency (Perfect Fit)**
**Why it excels:** Crypto trades 24/7 across dozens of global exchanges simultaneously. REV reveals true price discovery.
**Example configurations:**
- **BTC/USDT:** Compare Binance, Coinbase, OKX, Bybit, Kraken, Bitget
- **ETH/USD:** Track institutional venues (Coinbase, Kraken, Gemini) vs retail (Binance, Gate.io)
- **Altcoins:** Identify which exchanges have the deepest liquidity before placing large orders
**Trading applications:**
- **Arbitrage detection** - Spot when volume migrates between venues (price differential opportunities)
- **Exchange risk** - Don't trade on exchanges with suspiciously low volume
- **Whale tracking** - Sudden Coinbase dominance often signals institutional activity
- **Market maker identification** - Consistent Binance leadership suggests MM concentration
### ✅ **Forex (Excellent Fit)**
**Why it works:** Forex doesn't have centralized exchanges—it trades OTC across multiple broker feeds. REV shows which data providers are seeing the action.
**Example configurations:**
- **EUR/USD:** Compare OANDA, FXCM, FOREX.COM, FX_IDC, CAPITALCOM
- **GBP/JPY:** Track volatility across broker feeds
- **Exotics:** Verify liquidity before trading thin pairs
**Setup notes:**
- Leave **suffix field blank** for forex
- Use broker prefixes: OANDA, FXCM, FOREXCOM, FX_IDC, SAXO
- Symbol constructs as "OANDA:EURUSD"
**Trading applications:**
- **Spread verification** - Higher volume feeds typically offer tighter spreads
- **News event tracking** - See which brokers capture the most flow during announcements
- **Session analysis** - Watch London/NY volume shifts across different providers
### ⚠️ **Stocks (Limited But Useful)**
**Where it works:**
- **Dual-listed stocks** - Canadian companies on TSX and NYSE
- **International ADRs** - Same company, different exchanges
- **ETF arbitrage** - Compare volume across regional listings
**Example configurations:**
- **Shopify (SHOP):** Compare TSX vs NYSE volume
- **Alibaba (BABA):** NYSE vs HKEX volume
- **European stocks:** Compare primary exchange vs secondary listings
**Setup notes:**
- Leave **suffix field blank**
- Use exchange prefixes: NYSE, NASDAQ, TSX, LSE, XETRA
- Note: TradingView doesn't show per-venue volume for U.S. equities (NYSE vs BATS vs ARCA all aggregate)
**Limitations:** Most stocks trade primarily on one exchange, so REV is less valuable than in crypto/forex.
### ❌ **Futures (Not Recommended)**
Futures contracts differ by exchange (CME's ES ≠ EUREX's FESX), so volume isn't comparable.
---
## 📚 Practical Use Cases
### 1. **Pre-Trade Liquidity Analysis**
Before entering a large position, check which exchanges have sufficient volume to fill your order without slippage.
**Example:** You want to sell 50 BTC. REV shows Binance has 2,340 BTC volume this hour while a smaller exchange has only 87 BTC. Route your order to Binance for better execution.
### 2. **Exchange Risk Management**
Identify "fake volume" or wash trading by comparing venues.
**Red flag pattern:** An exchange consistently shows 10x the volume of competitors but with minimal price impact—likely artificial.
### 3. **Arbitrage Opportunity Detection**
When volume suddenly concentrates on one exchange, price premiums/discounts often appear.
**Alert pattern:** Liquidity Migration alert fires → Check price differences → Execute arb if spread exceeds fees.
### 4. **Institutional Flow Tracking**
In crypto, institutions typically use regulated exchanges (Coinbase, Kraken, Gemini).
**Pattern to watch:** Coinbase volume spikes to 60%+ dominance → Often precedes directional moves as institutions position.
### 5. **Market Structure Analysis**
Watch long-term trends in exchange dominance to understand market evolution.
**Example insight:** "Binance's market share has dropped from 70% to 45% over 6 months as traders diversify to OKX and Bybit."
### 6. **Event Response Comparison**
During major news events, see which exchanges react first.
**Analysis:** If one exchange shows volume spike 5 minutes before others, that feed may have faster news incorporation.
---
## ⚙️ Technical Specifications
- **Maximum exchanges:** 10 simultaneous venues
- **Sorting algorithm:** Bubble sort (O(n²) but optimal for n=10, prioritizes stability)
- **Update frequency:** Real-time, every bar
- **Data handling:** Gracefully ignores invalid symbols, treats NA as zero
- **Chart type:** Non-overlay (separate pane below price)
- **Performance:** Lightweight, no lag on any timeframe
---
## 🚀 Getting Started
### Quick Setup (5 Minutes)
**For Crypto Traders (Default Configuration):**
1. Add indicator to any crypto chart (BTC, ETH, SOL, etc.)
2. Works immediately—top 10 exchanges pre-configured
3. Customize colors if desired
4. Position table to your preference
**For Forex Traders:**
1. Open any forex pair (EUR/USD, GBP/JPY, etc.)
2. Go to Exchange 1 settings
3. Change prefix to "OANDA" (or your preferred broker)
4. **Clear the suffix field** (leave it blank)
5. Repeat for other exchanges (FXCM, FOREXCOM, FX_IDC, etc.)
6. Disable any unused exchange slots
**For Stock Traders (Dual-Listed):**
1. Open a dual-listed stock (e.g., SHOP on TSX)
2. Exchange 1: Prefix = "TSX", Suffix = blank, Name = "Toronto"
3. Exchange 2: Prefix = "NYSE", Suffix = blank, Name = "New York"
4. Disable exchanges 3-10
5. Compare volume distribution
### Advanced Customization
**Tracking Regional Markets:**
Want to compare Korean vs Japanese crypto exchanges?
- Exchange 1: UPBIT (Korean)
- Exchange 2: BITHUMB (Korean)
- Exchange 3: BITFLYER (Japanese)
- Exchange 4: COINCHECK (Japanese)
**Isolating Institutional Volume:**
Focus only on regulated U.S. exchanges:
- Enable: Coinbase, Kraken, Gemini
- Disable: All others
- Watch for >50% dominance alerts
---
## 👥 Who Is This For?
### ✅ **Perfect for:**
- **Crypto day traders** - Need to know where liquidity actually is
- **Arbitrage traders** - Spot cross-exchange inefficiencies
- **Institutional traders** - Validate execution venues before large orders
- **Forex scalpers** - Compare broker feeds for best execution
- **Market structure analysts** - Track long-term exchange dominance trends
### ❌ **Less useful for:**
- **Long-term investors** who don't care about short-term liquidity
- **Single-exchange traders** who never compare venues
- **Futures traders** (contracts differ by exchange)
---
## 🎓 Understanding the Visualization
**What each colored segment means:**
Each horizontal stripe represents one exchange's volume contribution. The **height** of each stripe shows that exchange's volume relative to others.
**Reading the pattern:**
- **Dominant top layer** (50%+ of bar) = Clear market leader
- **Evenly distributed layers** (10-15% each) = Fragmented liquidity
- **Sudden layer reorganization** = Liquidity migration event
- **Shrinking bottom layers** = Exchanges losing market share
**Color coding strategy:**
The indicator defaults to exchange brand colors for instant recognition:
- Yellow = Binance (their signature gold)
- Blue = Coinbase (their brand blue)
- Purple = Kraken (their brand purple)
- etc.
You can customize all colors to match your chart theme.
---
## 🔧 Configuration Tips
### **Best Practices:**
1. **Start with defaults** - Test on BTC/USDT to understand behavior
2. **Disable unused exchanges** - Cleaner visualization, faster computation
3. **Match your trading venues** - Only track exchanges you actually use
4. **Use brand colors initially** - Helps build visual pattern recognition
5. **Enable alerts strategically** - Don't spam yourself; focus on actionable signals
### **Common Mistakes to Avoid:**
❌ Tracking too many irrelevant exchanges (creates visual noise)
❌ Forgetting to clear suffix for forex/stocks (symbol won't construct properly)
❌ Using the same color for multiple exchanges (defeats instant recognition)
❌ Hiding the table permanently (you lose the percentage data)
---
## 📊 Performance Notes
- **Lightweight computation** - No impact on chart performance
- **Works on all timeframes** - 1-minute to monthly
- **Historical analysis** - Full bar history available (max_bars_back=5000)
- **Multi-monitor friendly** - Table positioning adapts to any screen layout
---
## 🆕 Future Enhancements (Planned)
While the current version is feature-complete, potential additions include:
- Volume-weighted average price (VWAP) overlay per exchange
- Historical dominance charts (which exchange led most this week/month)
- Correlation matrix (do exchanges move together or independently?)
**User feedback shapes development** - Comment with your requests!
---
## 💡 Pro Tips
### **Tip 1: The "Whale Exchange" Filter**
In crypto, institutions use Coinbase/Kraken. Enable ONLY these two exchanges to isolate professional flow and ignore retail noise.
### **Tip 2: The "Arbitrage Scanner"**
Set Liquidity Migration alert on 1-minute timeframe. When it fires, check price across exchanges—often there's a temporary premium/discount.
### **Tip 3: The "Liquidity Gauge"**
Before placing a large market order, switch to 5-minute timeframe and check last 10 bars. If your target exchange consistently has <20% of volume, you'll face slippage.
### **Tip 4: The "Market Structure Tracker"**
Take screenshots of the table weekly. Over time, you'll see exchange market share trends that reveal fundamental shifts in trader preferences.
### **Tip 5: The "News Event Validator"**
During major announcements (Fed decisions, earnings, etc.), watch which exchange shows volume first. That's where informed traders are positioned.
---
## 🎯 Summary
**Ranked Exchange Volume (REV) transforms volume analysis from a single number into a complete market microstructure view.**
Instead of seeing "1.2M volume," you see:
- Binance: 640K (53%)
- Coinbase: 280K (23%)
- OKX: 180K (15%)
- Bybit: 100K (9%)
**That's actionable intelligence.**
Whether you're executing a large crypto trade, arbitraging forex across brokers, or validating liquidity before buying a dual-listed stock, REV shows you **where the market actually is**—not where you assume it is.
---
## 📖 Quick Reference Card
| Feature | What It Does | Why It Matters |
|---------|-------------|----------------|
| **Dynamic Sorting** | Largest volume rises to top | Instant dominance identification |
| **10 Custom Slots** | Track any exchanges | Works for YOUR trading venues |
| **Live Rankings** | Real-time leaderboard | Precise market share data |
| **Smart Formatting** | Auto K/M/B scaling | Always readable, never cluttered |
| **Dominance Alert** | Warns at >50% concentration | Risk management for large orders |
| **Migration Alert** | Fires on leadership change | Arbitrage opportunity signal |
| **Spike Alert** | Detects 2x volume surges | Breakout/news confirmation |
| **Total Line** | Shows aggregate volume | Reference for overall activity |
| **Table Positioning** | 9 screen locations | Adapts to your layout |
| **Full/Short Toggle** | Complete vs abbreviated numbers | Flexibility for different assets |
---
## ✅ Installation & Support
**Install:** Add to your TradingView favorites, apply to any chart
**Updates:** Automatic through TradingView
**Support:** Comment with questions—active developer community
**Like this indicator?** Leave a ⭐ rating and share with fellow traders who need better volume intelligence.
---
**🚀 Start seeing the complete volume picture. Add Ranked Exchange Volume to your charts today.**
Ale tonkis Swing failure (mejora)“Swing Failure Pattern (SFP) indicator for detecting bullish and bearish reversals on the chart.”
It’s short and to the point for TradingView or documentation.
EMA 6/16 Zone (Simple)This is to know when to long and when to short. these are ema bands. when they touch either it goes up or down. has background shade to indicate if its uptrend or down.
TC-AlgoThese analyses are provided for educational purposes only and do not constitute investment advice
Adaptive Trade Probability Gate (TRADE / NO TRADE) v1.1This indicator is a context and probability filter, not a buy/sell signal.
It estimates the real-time probability that a trade will succeed by combining:
Broad market conditions (index behavior, volatility, participation)
Current stock structure (directional efficiency, relative strength, exploitability)
The output is a single decision:
TRADE → conditions are favorable; trades have positive expectancy
NO TRADE → conditions are hostile; even good setups tend to fail
The model adapts automatically to changing markets — it is not tuned to a fixed holding period, strategy, or regime. It reflects whether the market is forgiving or hostile right now, and whether the specific stock is worth engaging.
This indicator is designed to be used before entry to:
Filter low-quality trades
Adjust position size based on probability
Set realistic expectations for follow-through
It does not generate entries or stops.
It helps you decide when to trust your setups and when to stand aside.
OFM - ONE Trade Per Day MAXthis is helper to clarify the market trend and supply and demand zones to work with enjoy!






















