Volatilidad
TTE Elite Market Signals - ProTTE Elite Market Signals – Pro
TTE Elite Market Signals Pro includes all analytical frameworks and core engines available in the Semi‑Pro version, then extends them with a more advanced institutional, machine‑learning, and professional workflow stack. It is designed for traders who actively manage risk across multiple instruments, timeframes, and asset classes and want deeper control over exits, sizing, routing, and regime behavior.
What Pro Adds Beyond Semi‑Pro
Release notes – Pro‑only enhancements (relative to Semi‑Pro):
Forward‑looking ML “intelligence provider”: Dedicated neural and Q‑learning engine that feeds regime and quality scores into entries, exits, and master control without curve‑fitting past trades.
Auto Exit Engine Selector: Option to let the system switch between Hybrid, Risk‑Based, Equity‑Based, and Vol‑ATR exit profiles based on live volatility and performance conditions, while still respecting global clamps.
Enhanced institutional microstructure diagnostics: Deeper order‑flow, liquidity, stop‑hunt, and gap‑fill analytics that drive both entries and adaptive exits, including manipulation‑aware partial reductions.
Futures/FX routing and contract adapter: Integrated asset‑class routing for FX and futures, with pip/tick aware stops, contract multipliers, spread filters, and micro/mini/front‑month aware position scaling.
Universal Mastermind Engine: A higher‑order sizing overlay that adapts to win streaks, profit factor, and drawdown, with master‑control caps and equity‑aware scaling.
Dynamic profit‑locking and runner management: Multi‑stage profit capture, value‑area reversal exits, nuclear loss clamps, and runner logic tuned by volatility and liquidity regime.
Enhanced Sushi Roll / HTF Reversal suite: Pro‑level counter‑trend and HTF reversal logic that uses Fib+VP confluence, bear/bull context scores, and volatility/structure filters before allowing any counter‑trade.
Universal quantity engine with Pro‑grade safety: A universal sizing layer that understands stocks, crypto, forex, and futures, and enforces instrument‑specific risk ceilings and equity caps.
Pro Workflow and Control
The Pro version is built around the same visualization and learning principles as Semi‑Pro, but with more knobs for traders who need fine control.
Global Risk Scalar and Auto‑regime sizing: Adjusts global position sizes and stop distances based on win rate, profit factor, drawdown and ML confidence, with explicit defensive bias in mediocre regimes.
Enhanced ML integration: ML can influence entries, exits, regime choice, and sizing simultaneously, with separate confidence thresholds for entry boosting, exit tightening, and emergency shutdown.
Advanced volatility regime engine: Multi‑component ATR, price, and volume volatility model that adapts targets, ATR multipliers, and trailing stops by volatility band (ultra‑low to extreme).
Professional visualization: In addition to the universal dashboard, Pro adds more detailed diagnostics, regime indicators, and value‑area reversal annotations for exit decisions.
Who Pro Is For
Full‑time or semi‑professional traders managing multiple instruments or asset classes who need robust, adaptive sizing and exit behavior.
Users comfortable with concepts like regime‑switching, ML confidence, futures contract structure, and multi‑session workflow.
Traders who want the Semi‑Pro feature set as a baseline, but require additional tools to route orders by asset class, manage advanced exits, and fine‑tune risk overlays.
For documentation, examples, and configuration guidance across Semi‑Pro and Pro, visit: ttecommunity.com
APS: Saman AlgoDawn OneDescription for TradingView: APS: Saman AlgoDawn One
Overview
APS: Saman AlgoDawn One (APNA PENSION SYSTEM) is a premium, AI-driven "Invite-Only" strategy designed to liberate traders from the "Salary Labyrinth". Developed after 15 years of intensive research, this system focuses on high-probability Option Buying by capturing lightning-fast market momentum.
Guided by the philosophy "Mai Saman Hun" (I am Equal), this system aims to provide equal financial security and a regular cash-flow (pension) for every common citizen, from high professionals to hardworking individuals.
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The Technical Brain: 7-Gate Security System
To ensure capital protection, every trade must pass through 7 Impenetrable Gates:
1. Supertrend (Trend Direction): Defines the primary market bias.
2. Bollinger Bands (Breakout): Predicts volatility and price explosions.
3. CPR - Central Pivot Range: Protects you from sideways market traps.
4. SMA 200 (Long-term Trend): Confirms the macro-trend alignment.
5. Volume Filter: Ensures high-conviction entries by tracking buyer participation.
6. VWAP (Smart Money): Tracks institutional footprints.
7. Saman SMI (Final Seal): The ultimate momentum confirmation; no 'BUY' signal is generated until the NSMI white line crosses above the yellow line.
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Key Features
• Smart Decision-Making Dashboard: A live X-ray of the market showing the status of all 7 security checks at a glance.
• Universal Coverage: Optimized for Nifty, Bank Nifty, Commodities (MCX), Equity, and Crypto.
• Advanced Risk Management: Includes Mandatory Stop-Loss, Trailing SL, and Dynamic Quantity sizing based on capital risk.
• Discipline-Centric: Built to eliminate over-trading and emotional fatigue through "Max Trades Per Day" controls.
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How to Get Access
This is an exclusive Invite-Only script. To request access:
1. Verify your account mapping via Dhan (Referral Code: AELSLIS). invite.dhan.co
2. Send a screenshot of your Dhan profile and your TradingView User ID to our verification team. www.tradingview.com
3. WhatsApp for Access: +91 8420536600.
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Important Disclaimer
• Not SEBI Registered: The creator is a technical expert and system developer, not a SEBI-registered advisor.
• Compliance: This system is developed strictly for educational and technical purposes in compliance with the Railway Services (Conduct) Rules 1966.
• Market Risk: Trading involves financial risk. Always verify signals through backtesting and paper trading before using real capital.
Founder & Author:
Kumari Priti
(CEO, AELSLIS PRIVATE LIMITED)
Multi-Indicator Scoring TableThis indicator is a comprehensive technical analysis system designed to quantify market sentiment and visualize key dynamic levels. It aggregates signals from 9 different technical indicators into a single "Total Score" while simultaneously plotting a complete roadmap of Support and Resistance levels on your chart.
By combining Trend Following (EMAs, PSAR), Momentum (MACD, RSI), and Volatility (Bollinger Bands) metrics, this tool provides traders with an immediate snapshot of market confluence.
Above: A clear example of a Strong Bullish Trend (Total Score: 10). Notice how the price is riding above all EMAs, which are acting as dynamic support levels.
How It Works
The script performs two main functions: it scores the current price action against a basket of technical indicators, and it visualizes these indicators as dynamic interaction zones.
1. Dynamic Support & Resistance
Unlike static horizontal lines, this script plots moving averages and volatility bands that adapt to price action.
Resistance: Any plotted line (EMA, Bollinger Band, or PSAR) located above the current price acts as a potential Resistance level. These are areas where price may struggle to break through.
Support: Any plotted line located below the current price acts as a potential Support level. These are areas where price may find a "floor" and bounce.
Above: A Bearish Scenario (Total Score: -10). The EMAs and Bollinger Bands are now above the price, acting as layers of resistance. The table confirms the negative sentiment with red scores.
2. Strategic Application: Adding Liquidity
This tool is particularly useful for traders looking to scale into positions (add liquidity) rather than entering all at once.
Buying the Dip: When the Total Score is positive, traders can look at the plotted EMAs below the price as "Buy Zones." If the price retraces to the EMA 30 or EMA 65, it may act as dynamic support.
Selling the Rip: When the Total Score is negative, the lines above the price act as resistance. A rally back up to the EMA 15 or the Bollinger Basis can be viewed as an opportunity to add to a short position.
Above: The "Dist %" column in action. This column calculates exactly how far away the price is from these Support/Resistance levels, helping you gauge if a breakout or a rejection is imminent.
3. The Scoring Logic
The dashboard assigns a weighted numerical score to each indicator based on specific bullish or bearish conditions. The Total Score ranges from -10 (Maximum Bearishness) to +10 (Maximum Bullishness).
Bollinger Bands: ±2 Points for Reversion (Overbought/Oversold), ±1 Point for Trend (Above/Below Basis).
RSI: ±2 Points based on the 50 level.
MACD: ±1 Point based on Signal Line crossover.
Parabolic SAR: ±1 Point based on trend direction.
EMAs: ±1 Point for each of the 5 EMAs (Default: 9, 15, 30, 65, 200).
Above: A transitional market phase. The score is mixed (Yellow/Orange), indicating the market is consolidating or reversing. This warns the trader to be cautious.
4. The Dashboard (Table Breakdown)
The on-chart table provides a real-time data feed with three columns:
Indicator: The name of the tool. EMA labels update dynamically based on your settings.
Score: The current contribution of that indicator (Green for Bullish, Red for Bearish).
Dist % / Value: Displays the % distance to Support/Resistance or the raw value for oscillators like RSI/MACD.
Above: A long-term view (Weekly/Monthly) showing how the indicator helps visualize macro trends and major support levels like the 200 EMA.
Settings & Customization
The script is fully modular. You can adjust every parameter via the settings menu, organized into specific groups:
Bollinger Bands: Adjust Length, Multiplier, and Source.
MACD: Tune Fast, Slow, and Signal lengths.
RSI: Change Length and Source.
Parabolic SAR: Modify Start, Increment, and Max values.
EMAs: Individually configure the lengths of all 5 Moving Averages.
Disclaimer
This tool is for informational purposes only and DOES NOT constitute financial advice. Always manage your risk.
VWAP Institutional Trading Engine INDICATORVWAP Institutional Trading Engine
Adaptive Market Regime & Trading Model Indicator
🔍 Overview
The VWAP Institutional Trading Engine is an advanced, rule-based market analysis indicator designed to replicate institutional decision-making logic using VWAP, volatility, and session-based market behavior.
This indicator does not predict price.
Instead, it answers a more important question:
“What type of trading is appropriate right now – if any?”
The engine continuously evaluates:
Market regime (trend, range, dead market)
Volatility conditions
VWAP acceptance and deviation
Trading session (Asia / London / New York)
Based on this, it dynamically activates one of three trading models:
TREND
MEAN REVERSION
OFF (no trading)
This makes it ideal for:
Discretionary traders
Systematic traders
Risk-focused trading
Educational / portfolio-style trading approaches
🧠 Core Philosophy
Professional trading is not about finding more signals.
It is about knowing when not to trade.
This indicator is built around three institutional principles:
VWAP defines fair value
Volatility defines opportunity or danger
Different sessions require different behavior
⚙️ Indicator Components
1️⃣ VWAP & Statistical Deviation Bands
VWAP represents institutional fair price
±1σ bands indicate acceptance zones
±2σ bands represent statistical extremes
Used for:
Mean reversion zones
Trend acceptance confirmation
Go Score calculation
2️⃣ Volatility Engine
Volatility is measured using ATR relative to price
Compared against its own moving average
Classifications:
Low volatility → dead / untradable market
Normal volatility → structured behavior
High volatility → trend or liquidation events
3️⃣ Market Regime Detection
The engine classifies each moment into one regime:
Regime Meaning
TREND Price accepts above or below VWAP with volatility
RANGE Price rotates near VWAP
DEAD Low volatility, no opportunity
MIXED Unclear structure
4️⃣ Active Trading Model (Most Important)
Displayed in the dashboard as Model:
Model Interpretation
TREND Trade with momentum and continuation
MEAN_REVERT Trade extremes back to VWAP
OFF Do not trade
The Model tells you HOW you are allowed to trade right now.
5️⃣ Session Awareness (UTC)
The indicator adapts behavior based on session logic:
Session Preferred Behavior
Asia Mean Reversion
London Trend
New York Selective / adaptive
Trades are only allowed when model + session are aligned.
6️⃣ Go Score – Trade Quality Filter
Each potential setup receives a Go Score (0–100), based on:
Distance from VWAP
Market regime quality
Volatility penalties
Go Score Interpretation
≥ 80 High-quality (A+)
65–79 Acceptable
< 65 No trade
7️⃣ Risk Guidance (Informational)
The indicator outputs a Risk % suggestion, based on:
Go Score
Simulated drawdown logic
⚠️ This is guidance only, not position sizing.
📈 Visual Signals
The indicator plots contextual signals, not blind entries:
Mean Reversion Signals
▲ Long below −2σ
▼ Short above +2σ
Trend Signals
↑ Long after acceptance above +1σ
↓ Short after acceptance below −1σ
Signals appear only when trading is allowed by:
Model
Session
Go Score
🧩 Dashboard Explanation
The top-right dashboard displays real-time engine state:
Field Description
Session Current UTC session
Regime Detected market condition
Go Score Trade quality score
Risk % Suggested relative risk
Drawdown % Virtual defensive metric
Model Active trading model
If Model = OFF → do nothing.
🧭 Practical Trading Manual (Step-by-Step)
Step 1 – Check the Model
TREND → look for continuation
MEAN_REVERT → look for extremes
OFF → do not trade
Step 2 – Confirm Session Alignment
Asia + Mean Reversion ✔
London + Trend ✔
Misalignment = caution
Step 3 – Check Go Score
Below 65 → skip
65+ → proceed
Step 4 – Use Chart Structure
VWAP = anchor
σ bands = context
Signal = permission, not obligation
Step 5 – Manage Risk Manually
Use your own SL/TP rules
Follow the Risk % as guidance, not law
❌ What This Indicator Is NOT
Not a signal spam tool
Not a prediction system
Not a “holy grail”
It is a decision framework.
✅ Best Use Cases
Futures
Indices
Forex
Crypto
Intraday & swing trading
Recommended timeframes:
5m – 1H (intraday)
4H (contextual swing)
🏁 Final Notes
This indicator is intentionally transparent and rule-based.
It is designed to help traders:
Think in regimes
Trade with structure
Avoid overtrading
Protect capital
If you trade with the Model, not against it,
you will already be ahead of most market participants.
Cosmic Volume Analyzer [JOAT]
Cosmic Volume Analyzer - Astrophysics Edition
Overview
Cosmic Volume Analyzer is an open-source oscillator indicator that applies astrophysics-inspired concepts to volume analysis. It classifies volume into buy/sell categories, calculates volume flow, detects accumulation/distribution phases, identifies climax volume events, and uses gravitational and stellar mass analogies to visualize volume dynamics.
What This Indicator Does
The indicator calculates and displays:
Volume Classification - Categorizes each bar as CLIMAX_BUY, CLIMAX_SELL, HIGH_BUY, HIGH_SELL, NORMAL_BUY, or NORMAL_SELL
Volume Flow - Percentage showing buy vs sell pressure over a lookback period
Buy/Sell Volume - Separated volume based on candle direction
Accumulation/Distribution - Phase detection using Money Flow Multiplier
Volume Oscillator - Fast vs slow volume EMA comparison
Gravitational Pull - Volume-weighted price attraction metric
Stellar Mass Index - Volume ratio combined with price momentum
Black Hole Detection - Identifies extremely low volume periods (liquidity voids)
Supernova Events - Detects extreme volume with extreme price movement
Orbital Cycles - Sine-wave based cyclical visualization
How It Works
Volume classification uses volume ratio and candle direction:
classifyVolume(series float vol, series float close, series float open) =>
float avgVol = ta.sma(vol, 20)
float volRatio = avgVol > 0 ? vol / avgVol : 1.0
if volRatio > 1.5
if close > open
classification := "CLIMAX_BUY"
else
classification := "CLIMAX_SELL"
else if volRatio > 1.2
// HIGH_BUY or HIGH_SELL
else
// NORMAL_BUY or NORMAL_SELL
Volume flow separates buy and sell volume over a period:
calculateVolumeFlow(series float vol, series float close, simple int period) =>
float currentBuyVol = close > open ? vol : 0.0
float currentSellVol = close < open ? vol : 0.0
// Accumulate in buffers
float flow = (buyVolume - sellVolume) / totalVol * 100
Accumulation/Distribution uses the Money Flow Multiplier:
float mfm = ((close - low) - (high - close)) / (high - low)
float mfv = mfm * vol
float adLine = ta.cum(mfv)
if adLine > adEMA and ta.rising(adLine, 3)
phase := "ACCUMULATION"
else if adLine < adEMA and ta.falling(adLine, 3)
phase := "DISTRIBUTION"
Gravitational pull uses volume-weighted price distance:
gravitationalPull(series float vol, series float price, simple int period) =>
float massCenter = ta.vwma(price, period)
float distance = math.abs(price - massCenter)
float mass = vol / ta.sma(vol, period)
float gravity = distance > 0 ? mass / (distance * distance) : 0.0
Signal Generation
Signals are generated based on volume conditions:
Buy Climax: Volume exceeds 2 standard deviations above average on bullish candle
Sell Climax: Volume exceeds 2 standard deviations above average on bearish candle
Strong Buy Flow: Volume flow exceeds positive threshold (default 45%)
Strong Sell Flow: Volume flow exceeds negative threshold (default -45%)
Supernova: Volume 3x average AND price change 3x average
Black Hole: Volume 2 standard deviations below average
Dashboard Panel (Top-Right)
Volume Class - Current volume classification
Volume Flow - Buy/sell flow percentage
Buy Volume - Accumulated buy volume
Sell Volume - Accumulated sell volume
A/D Phase - ACCUMULATION/DISTRIBUTION/NEUTRAL
Volume Strength - Normalized volume strength
Gravity Pull - Current gravitational metric
Stellar Mass - Current stellar mass index
Cosmic Field - Combined cosmic field strength
Black Hole - Detection status and void strength
Signal - Current actionable status
Visual Elements
Volume Ratio Columns - Colored bars showing normalized volume
Volume Flow Line - Main oscillator showing flow direction
Flow EMA - Smoothed flow for trend reference
Volume Oscillator - Area plot showing fast/slow comparison
Gravity Field - Area plot showing gravitational pull
Orbital Cycle - Circle plots showing cyclical pattern
Stellar Mass Line - Line showing mass index
Climax Markers - Fire emoji for buy climax, snowflake for sell climax
Supernova Markers - Diamond shapes for extreme events
Black Hole Markers - X-cross for liquidity voids
A/D Phase Background - Subtle background color based on phase
Input Parameters
Volume Period (default: 20) - Period for volume calculations
Distribution Levels (default: 5) - Granularity of distribution analysis
Flow Threshold (default: 1.5) - Multiplier for flow significance
Accumulation Period (default: 14) - Period for A/D calculation
Gravitational Analysis (default: true) - Enable gravity metrics
Black Hole Detection (default: true) - Enable void detection
Stellar Mass Calculation (default: true) - Enable mass index
Orbital Cycles (default: true) - Enable cyclical visualization
Supernova Detection (default: true) - Enable extreme event detection
Suggested Use Cases
Identify accumulation phases for potential long entries
Watch for distribution phases as potential exit signals
Use climax volume as potential exhaustion indicators
Monitor volume flow for directional bias
Avoid trading during black hole (low liquidity) periods
Watch for supernova events as potential trend acceleration
Timeframe Recommendations
Best on 15m to Daily charts. Volume analysis requires sufficient trading activity for meaningful readings.
Limitations
Volume data quality varies by exchange and instrument
Buy/sell separation is based on candle direction, not actual order flow
Astrophysics concepts are analogies, not literal physics
A/D phase detection may lag during rapid transitions
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Session Anchored OIWAP [Arjo]The Session Anchored OIWAP (Open Interest Weighted Average Price) indicator shows you a weighted average price that uses Open Interest (OI) changes during different trading sessions . It divides the day into four clear sessions: Opening Hour , Morning Session , Mid-Day Session , and Closing Session .
For each session , it calculates a weighted average price using both market price and open interest data from futures . This line updates as the session progresses and resets when a new session starts .
You can also see optional deviation bands that you visually compare to how far the market price is moving away from the session’s weighted average. This indicator also helps you watch how Open Interest changes connect with price movements during specific market hours.
Concepts
This tool works on a few simple ideas:
Session anchoring
Each session starts fresh. The indicator resets and begins a new calculation when a new time block begins. This allows users to visually study each session independently.
Open-interest weighting
Instead of treating all price moves equally, price changes linked to higher open-interest activity have more influence on the OIWAP. This gives a weighted reflection of where the market has been trading during the session.
Averaging and smoothing
The OIWAP line blends many price data points into one smooth curve, making it easier to follow than raw price movement.
Volatility display with bands
The upper and lower bands are placed at ±0.5 standard deviation from the OIWAP line. These bands simply help you see when price stretches further away than usual from the session average.
Features
Four Independent Session Calculations: Shows separate OIWAP lines for Opening Hour (default: 09:15-10:15), Morning (10:15-11:30), Mid-Day (11:30-14:00), and Closing (14:00-15:30) sessions
Open Interest Weighting: Uses absolute OI change as the weight instead of traditional volume
Customizable Session Times: You can change the time ranges for each session to match your market or what you need
Optional Deviation Bands: You can turn ±0.5 standard deviation bands on or off around each OIWAP line
Color-Coded Sessions: Each session has its own color so you can tell them apart easily
Selective Display: You can turn individual sessions and bands on or off
Data Availability Check: Shows you a notification when Open Interest data isn't available for your symbol
Adjustable Position Timeframe: You can calculate OI changes on different timeframes (Chart, Daily, 15min, 30min, 60min, 120min)
How to use
Add this indicator to a chart of any symbol that has Open Interest data ( from futures or derivatives contracts). Once you add it, you'll see colored lines showing the OIWAP for each session you enable, along with optional deviation bands.
Adjusting Settings:
Turn individual sessions on or off using the checkboxes in the " Sessions " section
Change session colors to match your chart or what looks good to you
Turn deviation bands on or off using the " Show Bands " option in the Display settings
Change session time ranges in the " Session Times " section to match your market hours or what you want to analyze
Change the Position Timeframe if you want to see OI changes calculated on a different time period
Visual Interpretation:
Each OIWAP line shows you the OI-weighted average price for that session
The deviation bands show you how much prices spread out, weighted by OI changes
You can watch how price interacts with these levels to see where significant OI activity happened
Different sessions may show different OIWAP levels, showing you how the OI-price relationship changes throughout the trading day
Note:
This indicator needs Open Interest data to work. If OI data isn't available for your symbol, you'll see a message in the center of your chart. This indicator works only with derivatives markets like futures and options in the Indian Market where OI data is publicly available.
Conclusion
The Session Anchored OIWAP indicator is designed to support structured market observation by combining price, open interest, and session anchoring into a clear visual format. It helps users study market behavior during different parts of the day without generating trading instructions or outcomes.
Disclaimer
This indicator is for educational and visual-analysis purposes only. It does not provide trading signals , financial advice, or guaranteed outcomes . You should perform your own research and consult a licensed financial professional when needed. All trading decisions are solely the responsibility of the user.
Happy Trading
FX Rate Bias US vs EU 2YFX Rate Bias – US vs EU (2Y)
This indicator provides a macro bias framework for FX markets by tracking the 2-year government bond yield differential between the United States and Germany.
Rather than displaying the spread as a raw calculation, the script translates interest-rate expectations into a clear directional bias, helping traders understand which currency currently holds a rate advantage.
The 2Y segment of the yield curve is highly sensitive to:
Central bank expectations
Forward guidance
Shifts in short-term monetary policy outlook
How to use
Positive spread → USD rate advantage
Negative spread → EUR rate advantage
Designed to be used as a contextual macro tool, this indicator helps align technical setups with broader monetary conditions.
It is not intended as a standalone entry or signal generator.
Price Action Strategy Screener 1&5 Min [TradingFinder]🔵 Introduction
Price action is the study of how price moves, reacts, and leaves information behind through structure, swings, and liquidity behavior. Instead of relying on indicator signals or mathematical outputs, price action focuses on reading market intent directly from price movement, especially around key swing highs and lows where liquidity is often targeted. Understanding repeated reactions, failed continuations, and stop hunts is essential for identifying high quality trading opportunities.
In this price action strategy, signals are not generated from a single breakout or liquidity grab. Price must sweep a swing level multiple times, form a new structural reference, and return again to hunt liquidity. This repeated sweep and reaction process filters out random volatility and highlights deliberate market behavior. When this sequence occurs near the upper band or lower band of a price band, the signal gains additional context by aligning with premium and discount zones.
Correlation plays a critical role in validating price action signals. Symbol pairs are first selected based on historically high correlation on the daily timeframe so that divergence becomes meaningful. When correlation weakens on the execution timeframe, situations emerge where one asset continues to make higher highs or lower lows while the correlated asset fails to confirm and remains near a key swing level. This correlation breakdown exposes inter market divergence and relative strength or weakness, reinforcing the price action narrative.
An RSI component is provided only as an optional confirmation tool. It does not participate in signal generation and does not influence the strategy logic. Traders may use RSI to evaluate momentum exhaustion divergence or overbought and oversold conditions, or ignore it entirely. The foundation of this approach remains price action driven, built on liquidity sweeps, structural interaction, correlation dynamics, and contextual price band positioning rather than indicator dependency.
⚠️ Note: This product works only on the 1m and 5m timeframes. Please switch your chart to one of these timeframes to use the indicator properly.
🔵 How to Use
A central pillar of this methodology is the emphasis on historically high correlation as a prerequisite for meaningful analysis. Correlation is not treated as a signal by itself, but as a contextual foundation that gives weight to divergence and disagreement. When two markets have demonstrated strong alignment over time, especially on higher timeframes such as the daily chart, any deviation from that relationship becomes informative. The strategy assumes that without prior correlation, divergence has little analytical value and may simply reflect unrelated market behavior.
By filtering symbol pairs based on strong long term correlation, the tool focuses only on situations where market alignment is expected. When that alignment weakens on the execution timeframe, price behavior gains additional significance. One symbol may continue to expand, break structure, or print new extremes, while the correlated symbol stalls, compresses, or fails to confirm. This breakdown highlights emerging relative strength or weakness and often precedes rotation, rebalancing, or corrective price action rather than clean continuation.
The practical application of this concept relies on selecting logically related markets. Examples include precious metals such as OANDA:XAUUSD and OANDA:XAGUSD , closely linked equity indices like CAPITALCOM:US100 and CAPITALCOM:US500 , highly correlated currency pairs within the same economic group such as OANDA:EURUSD and OANDA:GBPUSD , or crypto assets like COINBASE:BTCUSD and COINBASE:ETHUSD that often move in tandem. By anchoring analysis to these correlated pairs, the strategy avoids random comparisons and instead isolates moments where market disagreement reflects a genuine shift in participation, intent, or liquidity distribution.
🟣 Buy Setup
Buy scenarios are evaluated when price is positioned near the lower band and begins to show signs of downside fatigue. The market should demonstrate repeated probing below a reference low without sustained follow through, indicating sell side absorption. After several failed attempts to push lower, price often compresses, forms a reaction base, and starts to defend that area.
Confirmation comes from relative performance between correlated markets. While the primary symbol holds its ground, the secondary symbol may begin to stabilize or recover, showing that downside pressure is no longer synchronized. This decoupling suggests that bearish participation is weakening. Buy setups gain higher quality when price starts to rotate upward from the lower band while downside extensions continue to fail.
🟣 Sell Setup
Sell scenarios develop when price trades near the upper band and shows signs of upside exhaustion. Multiple extensions above a reference high followed by weak continuation often signal buy side consumption. Price may repeatedly spike higher but struggle to maintain acceptance, leaving behind rejection and compression near the same zone.
Cross market behavior plays a key role in validation. When one correlated asset continues to advance while the primary symbol fails to sustain new highs, the imbalance becomes visible. This lack of confirmation reflects diminishing demand and distribution rather than healthy expansion. Sell setups become higher probability when price stalls near the upper band, fails to hold premium levels, and correlated markets no longer move in alignment.
🔵 Setting
Signal Source Pair : This option defines which pair’s signals are displayed on the chart. The script calculates signals for six different symbol pairs simultaneously, but only one pair can be visualized on the chart at a time. By selecting Pair 1 through Pair 6, the user chooses which pair’s signal output is shown on the active symbol. For example, if Pair 4 is selected, only signals generated by Pair 4 will appear on the chart.
Table on Chart : This setting enables or disables the on chart screener table. When enabled, the table displays signal status, correlation information, and symbol data directly on the chart. When disabled, the chart remains clean with no table overlay.
Number of Symbols : This option controls how many symbol pairs are displayed in the screener table. Users can choose between four or six pairs depending on screen size and personal preference.
Table Size: This setting adjusts the visual scale of the screener table. Smaller sizes are suitable for minimal layouts, while larger sizes improve readability when monitoring multiple pairs simultaneously.
Table Mode : This setting offers two layout styles for the signal table.
Basic mode displays symbols in a single vertical column, using more vertical space and providing straightforward readability.
Extended mode arranges symbols in pairs side by side, optimizing screen space with a more compact and efficient layout.
Table Position : This option defines where the screener table is placed on the chart. The table can be positioned in any corner or central area to avoid overlapping with price action or other indicators.
Symbol 1 and Symbol 2 : These options define the two symbols that are evaluated together as a pair. Users should select symbols that have historically shown high correlation so that divergence and correlation breakdowns carry meaningful analytical value.
Signals are generated based on relative strength and weakness, behavioral divergence, and confirmation failure between the two symbols. For each pair, signals are displayed only for the symbol defined as the active output in the screener.
Confirmation Period : This setting controls the initial swing confirmation window. It defines how many bars are required for a swing structure to be considered valid before liquidity sweeps and reactions are evaluated. Higher values tend to produce stronger and more reliable swing structures while reducing signal frequency. Lower values respond faster but may include shorter term or less significant movements. This logic is applied identically across all six pairs, with each pair calculated independently.
RSI Setting : The RSI section is completely optional and is provided only for visual confirmation. It has no influence on signal generation or strategy logic.
Short RSI, Mid RSI, Long RSI : These options allow different RSI lengths to be displayed simultaneously. Short RSI reacts quickly to momentum changes, while Mid and Long RSI provide smoother and broader context. Each RSI length can be enabled or disabled independently.
Show RSI Levels : This option toggles the visibility of RSI reference levels.
Low Potential Zone : Highlights areas where momentum potential is relatively low.
Mid Potential Zone : Marks neutral or transitional momentum environments.
High Potential Zone : Highlights areas with higher momentum potential, often associated with expansion or exhaustion phases.
All RSI zones are purely visual and do not affect signal logic or calculations.
🔵 Conclusion
This price action strategy is built to highlight moments where market behavior shifts from participation to hesitation. By observing repeated tests of key areas, failed continuation, and loss of alignment between related markets, the approach helps traders focus on areas where risk becomes more defined and directional follow through becomes more selective. The combination of band location, multi stage interaction, and cross market confirmation allows users to filter noise and concentrate on scenarios where price is more likely reacting than accelerating.
Rather than offering fixed entries or automated decisions, this framework encourages discretion, contextual reading, and structured execution. It is most effective when used by traders who understand market phases, rotation, and imbalance, and who are willing to wait for price to reveal intent through behavior rather than speed. When applied with patience and proper risk management, the strategy provides a consistent way to evaluate quality over quantity in evolving market conditions.
Script de pago
Supertrend BUY Only - Optimized for Gold M15 TimeframeOverview
The Supertrend BUY Only - Production Optimized is a high-performance trend-following indicator specifically tuned for XAUUSD (Gold) on the 15-minute timeframe. Unlike standard Supertrend scripts, this version focuses exclusively on bullish cycles to align with long-term upward bias and uses parameters discovered through deep data analysis of over 20,000 bars of historical market data.
Key Features
Data-Optimized Parameters: Defaults are set to ATR Period 7 and Multiplier 2.1, which backtesting has shown to provide a superior balance between sensitivity and noise reduction for Gold.
Production-Ready Alerts: Includes built-in alertcondition triggers for both BUY (Trend Flip) and STOP BUY (Trend Exit), complete with dynamic messages that include price and interval.
Trailing Support Band: Uses a trailing logic that locks in support levels during upward moves, preventing the band from dropping until the trend officially reverses.
Clean Visuals: Focuses on chart clarity by only plotting the support line during active uptrends and utilizing clean shape labels for entries and exits.
How to Use
Entry (BUY): When the Supertrend line flips from Red to Green and a "BUY" label appears. This indicates bullish momentum has overcome recent volatility.
Exit (STOP BUY): When the price closes below the Green support line. The indicator will plot a red "X" and clear the green background.
Setting Alerts: * Click the Alerts icon in TradingView.
Select this indicator under "Condition."
Choose "BUY Signal" for entries and "STOP BUY / EXIT" for managing your trade or taking profit.
Technical Details
The script allows users to toggle between the TradingView (RMA) ATR calculation and the Standard (SMA) method. For production and live trading, the RMA method is recommended as it provides a smoother response to volatility spikes common in the Gold market.
ORB W/ Custom time FramesRelease Notes: Simplified ORB (Opening Range Breakout)
This indicator is a streamlined, high-performance tool designed to identify the Opening Range—one of the most widely used concepts by professional floor traders and institutional scalpers. It marks the high, low, and midpoint of the initial balance of the market, providing you with a "map" for the rest of the trading session.
Key Features
Customizable Timeframes: Define your opening range window (e.g., the first 5, 15, or 30 minutes) regardless of what timeframe you are currently viewing.
Custom Session Support: Choose between standard market hours (09:30–16:00) or define your own custom window (e.g., the London Open or the first hour of "Power Hour").
Real-Time Midpoint Calculation: Automatically plots the 50% Equilibrium level between the high and low, serving as a pivot point for intraday bias.
Dynamic Updating: During the ORB window, the lines adjust in real-time as new highs or lows are set. Once the window expires, the levels lock in place to act as support and resistance.
Clean Visuals: Utilizes a lightweight line drawing system that is easy on your GPU and keeps the chart clutter-free.
Why This is Essential for Scalping
Scalpers rely on volatility and clear "lines in the sand." The Opening Range Breakout (ORB) provides exactly that:
The "Opening Drive": If price breaks the ORB High with high volume, scalpers look for quick "long" momentum plays. Conversely, a break below the ORB Low signals a bearish trend.
The Midpoint Pivot: The 50% level (Mid) is often treated as the "Fair Value" of the morning. If price is above the mid, the bias is bullish; if below, the bias is bearish.
Stop Loss / Take Profit Anchor: The ORB High and Low act as natural areas for placing stops or targets. A failed breakout that returns inside the range often targets the opposite side of the box.
BullSideBottomSignal(BSBS) - kylekkkkBSBS is a bottom-oriented downside-pressure indicator derived from the Ulcer Index, which measures downside volatility using drawdowns from recent price peaks.
This script does not attempt to predict exact bottoms.
Instead, it focuses on identifying elevated downside-pressure regimes and the transition back toward normalization.
🔧 Core logic
The Ulcer Index (UI) is calculated over a rolling lookback window.
A fixed threshold is applied to the UI value.
When UI is below the threshold, the output remains 0 (quiet regime).
When UI is above the threshold, the output becomes UI − threshold (pressure regime).
The plotted line is clamped to a zero baseline:
This design intentionally filters noise and keeps the chart clean:
no signal = 0, signal appears only when downside pressure is elevated.
📈 How to interpret the signal (heuristics)
When the line is greater than zero, the market is in an elevated downside-pressure regime.
Within that regime:
Early stabilization (light bull)
The line forms a local low and starts to turn upward, indicating that downside pressure is no longer accelerating in the same way.
Pressure easing (medium bull)
The line starts decreasing, suggesting downside pressure is cooling.
Normalization (strong bull)
The line returns to 0, meaning Ulcer Index has fallen back below the threshold.
These stages describe risk-pressure behavior, not guaranteed price outcomes.
⚠️ Notes & limitations
In strong downtrends, downside-pressure regimes can persist and “bottom-like” structures may fail.
This is an indicator, not a trading strategy, and not financial advice.
Always combine with your own analysis, risk management, and multi-timeframe confirmation if desired.
Volatility Regimes | GainzAlgo📊 OVERVIEW:
=========
This is a comprehensive ATR-based trading system designed for professional
traders who need advanced volatility analysis, precise trade management, and
intelligent market regime detection. The indicator combines multiple proven
volatility concepts into one powerful, customizable tool.
⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION:
====================================================
This is not simply a collection of ATR-based indicators placed together.
It represents a unified volatility analysis framework where each component
is specifically designed to work in concert with the others, creating a
complete trading workflow that cannot be replicated by using multiple
separate indicators.
🔗 SYNERGISTIC INTEGRATION - How Components Work Together:
🧠 1. CONTEXT-AWARE ANALYSIS
The Volatility Regime Detection acts as the "brain" of the system,
classifying market conditions into 4 distinct phases. Every other
component then adapts its behavior based on this regime classification:
- ATR Bands expand/contract with regime changes
- Stop Loss distances automatically adjust (tighter in compression,
wider in high volatility)
- Take Profit targets scale proportionally to current regime
- Signal sensitivity filters itself based on market phase
📐 2. UNIFIED VOLATILITY FOUNDATION
All calculations share a single ATR baseline calculation, ensuring
internal consistency across the entire system. When ATR changes, every
element updates in perfect synchronization:
- Bands recalculate from the same ATR value
- Risk management levels use the same volatility measurement
- Regime classification and signals reference identical data
🛡️ 3. INTEGRATED RISK MANAGEMENT
The system doesn't just show WHERE to enter - it calculates HOW MUCH
to risk:
- Dynamic Stop Loss adapts to current ATR automatically
- Position Size Calculator uses the dynamic stop to compute exact quantities
- Take Profit levels scale proportionally, maintaining optimal risk:reward
✅ 4. TWO-STAGE SIGNAL CONFIRMATION
The alert system creates a logical progression:
Step 1: Volatility Breakout → Market energy is building
Step 2: Trend Confirmation → Direction confirmed with volatility support
This prevents false breakouts by requiring both volatility AND direction.
🏦 5. PROFESSIONAL WORKFLOW INTEGRATION
The system mirrors how institutional traders analyze markets:
Phase 1: Assess regime → What's the market doing?
Phase 2: Identify setup → Where's the opportunity?
Phase 3: Calculate risk → What's my exposure?
Phase 4: Set targets → Where do I take profit?
Phase 5: Monitor regime → When do conditions change?
❌ WHY NOT USE SEPARATE INDICATORS?
- Separate ATR Bands: Don't know about regime changes, remain static
- Separate Regime Indicator: Doesn't automatically adjust stop/targets
- Separate Position Calculator: Doesn't know your actual ATR-based stop
- Manual Integration: Requires constant mental calculation and cross-referencing
🧮 DETAILED CALCULATION METHODOLOGY:
=================================
📏 ATR (AVERAGE TRUE RANGE) CALCULATION:
- True Range = Maximum of:
1. Current High - Current Low
2. Absolute value of (Current High - Previous Close)
3. Absolute value of (Current Low - Previous Close)
- ATR = Simple Moving Average of True Range over specified period (default: 14)
📊 DYNAMIC ATR BANDS:
- Upper Band = Current Close + (ATR × Band Multiplier)
- Lower Band = Current Close - (ATR × Band Multiplier)
- Band 1: 1.0× ATR (closest support/resistance)
- Band 2: 2.0× ATR (intermediate zone)
- Band 3: 3.0× ATR (extended zone)
🌡️ VOLATILITY REGIME CLASSIFICATION:
Step 1: Calculate ATR Baseline
- Baseline ATR = SMA or EMA of ATR over long period (default: 50 bars)
- This represents "normal" volatility for the instrument
Step 2: Calculate ATR Ratio
- ATR Ratio = Current ATR ÷ Baseline ATR
- Example: If current ATR = 70 and baseline = 50, ratio = 1.40
Step 3: Classify Regime Based on Ratio
- COMPRESSION: Ratio < 0.70 (ATR is 30% below normal)
Market consolidating, volatility contracting, energy building
- EXPANSION: Ratio between 1.15 and 1.40 (ATR is 15-40% above normal)
Volatility breaking out, early phase of directional movement
- HIGH VOLATILITY: Ratio > 1.40 (ATR is 40%+ above normal)
Strong sustained trend with high participation
- EXHAUSTION: ATR declining after high volatility period
Requires: Previous high ratio + declining ATR over X bars (default: 5)
Trend maturity, potential reversal or consolidation approaching
🛑 DYNAMIC STOP LOSS CALCULATION:
- For Long Positions: Stop Loss = Entry Price - (ATR × SL Multiplier)
- For Short Positions: Stop Loss = Entry Price + (ATR × SL Multiplier)
- Default Multiplier: 2.0× ATR
- Adjusts automatically: Wider in high volatility, tighter in compression
🎯 TAKE PROFIT LEVELS:
- TP1 = Entry Price ± (ATR × TP1 Multiplier)
- TP2 = Entry Price ± (ATR × TP2 Multiplier)
- TP3 = Entry Price ± (ATR × TP3 Multiplier)
- Direction (+ or -) depends on trade direction
📦 POSITION SIZE CALCULATION:
Formula: Position Size = Account Risk Amount ÷ Stop Loss Distance
Step-by-step:
1. Risk Amount = Account Size × (Risk Percentage ÷ 100)
2. Stop Distance = |Entry Price - Stop Loss Price|
3. Position Size = Risk Amount ÷ Stop Distance
📈 ATR PERCENTILE RANKING:
- >80% = Extremely high volatility
- 20-80% = Normal volatility range
- <20% = Extremely low volatility
🌀 VOLATILITY CONTRACTION PATTERN:
Detects extended low-volatility periods indicating imminent breakout.
🧭 TREND DETECTION SIGNALS:
Bullish: Price > MA AND Current ATR > ATR MA
Bearish: Price < MA AND Current ATR > ATR MA
⚡ VOLATILITY BREAKOUT SIGNALS:
Triggered when ATR exceeds its moving average by a defined threshold.
🧩 CORE FEATURES:
==============
1. ATR BANDS (Dynamic Support/Resistance)
2. VOLATILITY REGIME DETECTION
3. DYNAMIC STOP LOSS SYSTEM
4. MULTIPLE TAKE PROFIT LEVELS
5. SUPPORT & RESISTANCE LEVELS
6. RISK MANAGEMENT CALCULATOR
7. ATR PERCENTILE RANKING
8. VOLATILITY CONTRACTION PATTERN
9. TREND DETECTION SIGNALS
10. VOLATILITY BREAKOUT SIGNALS
⚙️ RECOMMENDED SETTINGS BY TRADING STYLE:
======================================
DAY TRADING • SWING TRADING • POSITION TRADING • SCALPING
📘 HOW TO USE THIS INDICATOR:
==========================
STEP 1: Identify Market Regime
STEP 2: Wait for Entry Signal
STEP 3: Set Stop Loss
STEP 4: Set Take Profits
STEP 5: Position Sizing
STEP 6: Monitor & Manage
🔔 ALERT SYSTEM:
=============
Alerts for volatility breakouts, trend changes, regime transitions,
ATR band crossings, contraction completion, and percentile extremes.
🎨 CUSTOMIZATION:
==============
All visuals, thresholds, multipliers, colors, alerts, and risk parameters
can be fully customized.
⚠️ IMPORTANT DISCLAIMER:
=====================
This indicator is a volatility analysis tool and does NOT provide financial advice.
Past performance does not guarantee future results.
All trading involves substantial risk.
All trading decisions are the sole responsibility of the user.
Institutional Flow X-Ray [Blk0ut]Introduction
In the world of quantitative trading, volume is often described as the "fuel" of the market. However, standard volume bars have a major flaw: they show you how much changed hands, but they don't tell you who was in control.
The Institutional Flow X-Ray is designed to solve this opacity problem. It looks "under the hood" of every candle to visualize the intent of the Smart Money participants. By combining Volume Price Analysis (VPA), Wyckoff Logic, and Volatility Compression into a single interface, this tool helps traders identify when institutions are quietly accumulating positions (Absorption) before a major expansion occurs.
How It Works: The Logic
This indicator is not a simple moving average crossover. It aggregates four distinct quantitative models into one composite view:
1. Institutional Flow (The Histogram) Instead of just looking at whether price closed up or down, we calculate the "Intra-Bar Delta." We measure where the price closed relative to the high-low range of that specific candle, weighted by the volume.
• The Result: A smoothed momentum oscillator that reveals the internal strength of the trend.
• Gradient Coloring: The bars use a 4-color gradient system. Bright Green/Red indicates accelerating momentum, while Darker Green/Red indicates exhaustion or a pullback is likely.
2. Stealth Absorption (The "Gold" Signal) This is based on Wyckoff’s Law of Effort vs. Result. The script scans for a specific anomaly: Volume is significantly higher than average (>2.0x), but Price Range is significantly lower than average.
• Why this matters: When you see high volume but no price movement, it often means a large entity is absorbing all available liquidity (Iceberg Orders). These bars are painted GOLD.
3. Volatility Compression (The "Squeeze" Dots) Markets move in cycles of Expansion and Compression. This module compares the width of Bollinger Bands against Keltner Channels.
• The Logic: When the Bollinger Bands contract inside the Keltner Channels, the market is like a coiled spring. This measures potential energy.
4. Relative Strength (The Alpha Line) Institutional capital rarely flows into underperforming assets. The script automatically compares your current ticker against a benchmark (SPY for Stocks, BTC for Crypto, DXY for Forex).
• The Logic: If the benchmark is dropping, but your ticker is holding steady (Rising Blue Line), it shows Relative Strength, a key footprint of institutional support.
________________________________________
Visual Guide & Usage
The Histogram (Flow & Signals)
• Green Gradients: Buyers are in control.
• Red Gradients: Sellers are in control.
• GOLD Bars (Absorption): Be alert. A major player is active. If this happens at Support, it is a high-probability Accumulation setup.
• WHITE Bars (Alpha Signal): The "Triple Confluence." This occurs when we have (1) Absorption + (2) Bullish Flow + (3) Relative Strength all activating at once. This is the strongest signal in the system.
The Volatility Map (Center Dots) The dots running along the zero line tell you the state of market energy:
• 🔴 Red (Extreme Squeeze): Ratio < 0.7. Massive energy build-up. Expect an explosive move soon.
• 🟠 Orange (Squeeze): Ratio < 1.0. Standard pre-breakout compression.
• ⚪ Gray (Normal): Standard volatility.
• 🔵 Blue (Expansion): The move is underway. Volatility is expanding.
The Heads-Up Dashboard A professional table in the corner provides real-time quantitative data so you don't have to guess:
• Inst. Flow: The raw score (0-100).
• Volatility: Tells you exactly which phase the market is in (Squeeze vs. Expansion).
• Rel. Strength: Tells you if you are "Outperforming" or "Lagging" the benchmark.
________________________________________
Efy60mEfy60m Strategy Analysis Report (Product Analysis)
Efy60m 策略分析報告
Strategy Name: Efy60m
策略名稱：Efy60m
Instrument: Taiwan Index Futures (TXF) / Continuous Contract | Timeframe: 60-minute Chart
適用商品：台指期 (TXF) / 連續月 | 適用週期：60 分鐘 K 線
1. Core Philosophy
核心邏輯
Efy60m is a trend-following strategy based on "Asymmetric Volatility Breakout". It does not predict the market but waits for the trend to initiate.
Efy60m 是一套基於 「非對稱波動率突破」 的趨勢策略。它不預測行情，而是等待行情發動。
Asymmetry: Recognizes the "slow rise, sharp drop" characteristic of TXF. It uses different parameters for Long and Short positions to avoid slow reactions in bear markets or getting whipsawed during bull market corrections.
非對稱性：承認台指期「緩漲急跌」的特性，多空使用不同的參數，避免在空頭市場反應過慢，或在多頭回檔時被洗出場。
Anti-Chop Mechanism: Built-in ADX momentum filter. It automatically stays idle during low momentum periods (sideways markets) and only executes trades when significant profit potential exists.
抗盤整機制：內建 ADX 動能濾網，在市場動能不足（死魚盤）時自動休眠，只在有大肉吃的時候才出手。
Triple Risk Management: Features "Channel Reversal Exit," "Fixed Stop Loss," and "Trailing Take Profit" to effectively secure and lock in profits.
三重風控：具備「通道反向出場」、「固定停損」與「移動停利」，確保獲利落袋為安。
2. Competitiveness
市場競爭力
Profit Factor > 2.1: This represents a Tier 1 (Top-tier) level among commercial strategies. While most strategies pass with a PF of 1.5~1.6, Efy60m demonstrates exceptional efficiency.
獲利因子 > 2.1：這在市售策略中屬於 Tier 1 (頂級) 水準。大部分市售策略 PF 能到 1.5~1.6 就算及格，Efy60m 的獲利效率極高。
High Average Trade (> $16,000 TWD): This is its strongest competitive moat. Even with increased slippage or higher commissions in the future, the strategy remains profitable because it captures major trends rather than marginal gains.
高平均獲利 (Avg Trade > $16,000)：這是最強的護城河。即便未來滑價變大、手續費變貴，這套策略依然能獲利，因為它抓的是大波段，而非蠅頭小利。
Avoid Settlement Risk: Executes early settlement on Tuesdays to avoid the volatility and turbulence of Wednesday's settlement day.
避開結算風險：週二提前結算，避開了週三的結算亂流。
3. Rating
評級
Profitability: ⭐⭐⭐⭐⭐
獲利能力：⭐⭐⭐⭐⭐
Stability: ⭐⭐⭐⭐
穩定性：⭐⭐⭐⭐
Risk Profile: Medium-High Risk (Swing trading strategy; sufficient margin is required).
風險屬性：中高風險 (屬於波段策略，需準備足夠保證金)
Disclaimer: "Past performance is not indicative of future results. This swing trading strategy has a maximum drawdown of approximately 400,000 TWD. It is recommended to have a capital reserve of 800,000 to 1,000,000 TWD per Large TXF contract."
警語：「過去績效不代表未來獲利，波段策略最大回撤約 40 萬，建議操作大台本金需備足 80-100 萬/口」。
Aggregated Volume Delta (CVD) Extremes & Divergence SignalsThis indicator identifies potential market turning points and breakout areas by combining aggregated volume, Volume Delta (CVD logic), price extremes, and divergences.
It integrates:
Price extremes (Highest High / Lowest Low)
Above-average volume
Volume Delta direction (buy vs. sell pressure)
Bullish and bearish divergences
Automatic Buy / Sell labels with alerts
⚙️ Critical Calibration Notice (Very Important)
The Lookback Period is the most important parameter in this script.
Default value: 500
This value is not universal
Every asset (crypto, indices, forex, stocks) has different volume behavior and market structure
👉 How to calibrate properly:
Apply the indicator using the default value (500)
Scroll back and review historical signals
Adjust the lookback period incrementally higher or lower
Optimize until:
Signals appear near clear price extremes
Noise and false signals are reduced
Reversals and breakouts are consistently highlighted
➡️ Smaller lookback period
Faster response
More frequent signals
Higher noise
➡️ Larger lookback period
Fewer signals
Stronger structural relevance
Higher signal quality
Always calibrate the lookback period per asset before using the indicator live.
🔧 Volume Difference Ratio Threshold
Recommended value: 1
This setting should remain unchanged
It acts as a structural filter for volume balance vs. dominance
Changing this value typically leads to unstable or misleading signals
📌 Signal Logic (Simplified)
BUY
Price reaches a local low
Volume is above average
Positive or balanced volume delta
SELL
Price reaches a local high
Volume is above average
Negative or balanced volume delta
Divergences
Price makes a new high or low
Volume Delta fails to confirm
Early indication of a potential reversal
🔔 Alerts
Buy Only
Sell Only
Buy & Sell
Designed for manual analysis, trade confirmation, or as a filter within systematic trading setups.
Volume $ Spike Alert - Mustang AlgoVolume $ Spike Alert - Mustang Algo📊 Overview
Advanced volume analysis indicator that detects significant dollar volume spikes and generates intelligent buy/sell signals. Designed for traders seeking to identify institutional activity and potential market turning points through volume analysis.🎯 Key FeaturesDual Detection Modes
Absolute Threshold: Triggers alerts when volume exceeds fixed billion-dollar thresholds
Ratio vs Average: Detects spikes relative to historical moving average
Combined Mode: Uses both methods for maximum sensitivity
Smart Trading Signals
Auto Mode: Follows trend momentum (high volume + green = buy, red = sell)
Contrarian Mode: Identifies potential reversals (extreme volume = opposite signal)
Manual Modes: Force all signals as buy or sell based on your strategy
Visual Components
Color-coded volume histogram (Normal/Alert/Extreme levels)
Buy/Sell triangle markers on price chart
Moving average overlay for context
Real-time summary table with key metrics
📈 Use Cases
Institutional Activity Detection: Spot when big money enters/exits positions
Breakout Confirmation: Validate price moves with volume support
Reversal Identification: Extreme volume often marks tops/bottoms
Day Trading: Real-time alerts for volume-based entries/exits
⚙️ Customizable Parameters
Alert thresholds (billions $)
Moving average period (5-200)
Ratio multipliers for dynamic detection
Signal type selection
Display options for all visual elements
🔔 Built-in Alerts
Volume spike alerts (standard & extreme)
Buy signal alerts
Sell signal alerts
All alerts include ticker and volume data
💡 Trading Tips
Combine with price action for confirmation
Extreme volume + divergence = potential reversal
Use ratio mode for adaptive thresholds across different market conditions
Monitor the ratio value - above 5x average is significant, 10x+ is extreme
📝 Default Settings
Alert Threshold: $7.5 billion
Extreme Threshold: $9.0 billion
MA Period: 50 days
Alert Ratio: 5x average
Extreme Ratio: 10x average
[Gio Screener] Bias + Inflect (v2)In crypto BTC is king: when it moves, the market moves (most of the time).
In this screener, correlation and volatility are used as an advantage — at least we try.
This script is a benchmark-relative screener designed to quickly identify which assets are most interesting to trade when the market is moving, especially during high-volatility sessions.
The core idea is simple:
most assets behave like a beta of a benchmark (usually BTC). When the benchmark accelerates, correlated assets tend to follow — but with different strength, timing, and structure. This screener helps you exploit those differences.
What this screener does
For each symbol in the list, the script compares its behavior to a benchmark across two evaluation windows (LTF and HTF) and displays the results in a sortable table. It focuses on three main aspects:
- relative strength vs the benchmark
- correlation quality
- timing / inflection readiness
The goal is to quickly answer:
Which assets should I long or short when the benchmark dips or tops?
Main columns
Bias
Bias measures directional edge relative to the benchmark.
It combines:
- relative performance vs benchmark (HTF and LTF)
- higher-timeframe price change (structural trend)
Interpretation
- Positive Bias → better long candidates
-Negative Bias → better short candidates
Bias answers “what side should I prefer?”
Inflect (Inflection index)
Inflect measures how ready an asset is for a reversal or mean-reversion entry in the direction suggested by Bias.
It combines:
- oscillator stretch (overbought / oversold)
- oscillator turning (delta sign-hold)
- short-term pullback (anti-chase logic)
- volatility amplification (reward movers)
- correlation quality (prefer benchmark-aligned assets)
Inflect is a single numeric score, used both for:
- table reading and sorting
- actionable alerts
Interpretation:
- High positive Inflect → long-side inflection candidates
- High negative Inflect → short-side inflection candidates
Inflect answers “is this a good moment?”
Actionable logic (alerts-grade)
A symbol becomes actionable only when all of the following conditions are met:
- correlation with the benchmark is strong enough
- benchmark itself confirms the same direction (turning)
- Bias magnitude is large enough
- Inflect magnitude is large enough
- oscillator reached an extreme
- oscillator delta confirms the turn
When this happens, the Inflect cell is highlighted for a few bars so recent signals remain visible even after sorting.
How to use
Typical workflow:
- choose a benchmark (BTC, TOTAL, TOTAL3, etc.)
- set LTF / HTF evaluation windows
- sort by Bias to rank strong vs weak assets
- sort by Inflect to rank best timing opportunities
- focus on correlated, volatile assets during market moves
This screener is especially useful in high-volatility environments, when reversals and pullbacks offer better risk/reward.
Implementation notes
- Uses one request per symbol (efficient and stable)
- Calculations are independent from the chart symbol
- Rolling-window logic in chart bars (good trade-off between precision and performance)
Final note
This is not a signal generator by itself.
It is a decision-compression tool: it reduces a large universe into a short list of where and when to focus your attention.
GFC ADXPlots the Average Directional Index (ADX) to measure trend strength using configurable DI length and ADX smoothing, with visual reference levels for weak, strong, and very strong trends. The goal is to add confirmation before taking a trade: is the ADX contracting/going down? or is it going up, passing the lower threshold?
Assumptions: Uses standard Wilder ADX calculation on chart timeframe and exchange timezone, evaluates trend strength only (not direction), and applies fixed reference levels commonly used in technical analysis.
by GlutenFreeCrypto
GFC Volume exhaustionPlots a white circle under the candle when volume slopes down over X bars, prior volume is <= 0.5x of the first bar, current volume surges, relative volume is elevated, and the candle is green. The goal is to spot volume exhaustions that are favorable to a sudden surge in volume that pushes the price up.
Assumptions: Uses chart exchange timezone, regular volume only, no session filtering.
By GlutenFreeCrypto
Sentiment Hunter - Crypto TradeSentiment Hunter - Crypto Trade is a high-precision institutional tool. It triggers trades only when 6 strict conditions align: EMA 8/80 crossover, RSI momentum (65/35), directional RSI flow, ATR volatility increase, Volume/OI surge, and Long/Short Ratio sentiment filtering. Built for Binance Perpetual markets via Webhook.
StockRadar - Mega Trend IndicatorStockRadar - Mega Trend Indicator (MTI)
Overview
The Mega Trend Indicator (MTI) is an advanced trend-following indicator that combines Fourier-based trend analysis with adaptive volatility bands to identify strong directional moves and optimal re-entry opportunities. Designed for traders who want to ride major trends while avoiding false signals during weak or choppy market conditions.
Core Features
Fourier-Based Trend Detection
The indicator uses a sophisticated Fourier transformation algorithm that combines multiple harmonic wave components to identify the underlying trend direction. This approach provides:
- Smooth trend identification with reduced noise compared to simple moving averages
- Adaptive sensitivity through harmonic weight adjustments
- Clear visual signals when the trend changes direction (BULLISH/BEARISH labels)
Adaptive Volatility Bands
Dynamic volatility bands are calculated using a combination of ATR (Average True Range) and Standard Deviation, creating context-aware trend boundaries that adapt to current market conditions.
Discount Zones - Smart Re-Entry System
One of the indicator's key features is the Discount Zone system, which identifies potential re-entry areas during pullbacks within an established trend. This allows traders to:
- Enter at better prices during temporary retracements
- Avoid chasing the trend at unfavorable levels
- Get real-time alerts when price enters discount zones
Discount zones are displayed as highlighted areas between the trend line and a calculated support/resistance level, with visual markers (circles) appearing when price enters these zones.
Settings & Customization
Trend Settings
- Price Source: Choose the price data used for calculations (default: Close)
- Fourier Base Period: Base period for trend calculation (default: 14). Higher values = smoother but more lag
- Fourier Smoothing: Additional smoothing layer (default: 7)
- Harmonic Weight: Controls sensitivity of trend detection (0-1, default: 0.5)
Volatility Settings
- Volatility Length: Period for ATR and Standard Deviation calculation (default: 10)
- Volatility Multiplier: Width of trend bands (default: 2.0). Higher = wider bands
- Volatility Smoothing: Smoothing period for volatility (default: 10)
Visual Settings
- Bullish/Bearish Colors: Customize trend colors
- Enable Candle Coloring: Color candles based on trend direction
- Show Trend Change Signals: Display BULLISH/BEARISH labels on trend reversals
Discount Zone Settings
- Show Discount Zones: Toggle discount zone visualization
- Discount Zone ATR Multiplier: Distance from trend line for discount zones (default: 1.5). Lower = tighter zones
- Discount Zone Color: Customize discount zone highlighting
Optional Filters
Volume Confirmation (Default: OFF)
When enabled, discount zones only appear when volume is above average, providing stronger confirmation of re-entry opportunities.
- Volume Average Length: Period for average volume calculation (default: 20)
- Volume Multiplier: Minimum volume threshold (default: 1.2x average)
Trend Strength Filter (Default: OFF)
Prevents re-entries when the trend is weakening, helping avoid entries just before trend reversals. Uses ADX (Average Directional Index) to measure trend strength.
- ADX Length: Period for ADX calculation (default: 14)
- Minimum ADX Threshold: Required trend strength (default: 20.0)
- 15-20: Weak to moderate trends
- 20-25: Moderate to strong trends
- 25+: Very strong trends
Alerts
The indicator provides comprehensive alert functionality:
- Bullish/Bearish Signal Alerts: When the trend changes direction
- Discount Zone Entry Alerts: When price enters a discount zone (with optional filters applied)
Use Cases
- Trend Following: Identify and ride major trends with clear entry and exit signals
- Re-Entry Optimization: Find better entry prices during pullbacks within strong trends
- Trend Reversal Detection: Get early warnings when trends change direction
- Filtered Trading: Use optional filters to reduce false signals in choppy markets
Best Practices
1. Combine with Price Action: Use discount zones as areas of interest, not automatic entry signals
2. Adjust Volatility Multiplier: Tighter markets may need lower multipliers (1.0-1.5), volatile markets may need higher (2.0-3.0)
3. Enable Trend Strength Filter: Recommended for swing trading to avoid weak trends
4. Use Volume Confirmation: Helpful in markets with reliable volume data
5. Timeframe Considerations: Works best on 4H, Daily, and Weekly timeframes for swing trading
Technical Details
- Indicator Type: Overlay
- Pine Script Version: v6
- Calculation Method: Fourier transformation with harmonic wave analysis
- Volatility Method: Adaptive (ATR + Standard Deviation average)
Note: This indicator is designed to complement your trading strategy, not replace proper risk management and analysis. Always use stop-losses and proper position sizing.
Chaikin Money Flow & Volatility Duo +Discover the Ultimate Edge in Trading: Chaikin Money Flow & Volatility Duo + (CMV_Duo +)
Tired of indicators that lag behind the action or give you vague, conflicting signals? Say hello to Chaikin Money Flow & Volatility Duo + – the powerful, all-in-one oscillator that combines the legendary insights of Marc Chaikin with smart, high-conviction filtering to pinpoint where the real money is flowing.
This isn't just another CMF script. This is the enhanced, next-level version designed for traders who demand precision and clarity.
Why CMV_Duo + Will Become Your Go-To Indicator
Crystal-Clear Money Flow Insight
Tracks Chaikin Money Flow (CMF) with a customizable period (default 21) and adds a smooth EMA signal line (default 9) for cleaner trend confirmation.
Beautiful momentum-colored histogram:
Bright green when accumulation is accelerating
Bright red when distribution is intensifying
Softer shades when momentum is fading – you’ll spot weakening trends instantly.
Volatility That Actually Matters
Built-in Chaikin Volatility measures the rate of change in price range expansion.
Rising volatility (CV > 0) tells you the move has legs – no more getting faked out by quiet, low-conviction grinding.
"Smart Money" Conviction Signals – The Real Game-Changer
Exclusive background highlighting and entry markers that only fire when three powerful forces align:
Strong positive/negative CMF
CMF decisively above/below its signal line
Rising volatility confirming real momentum
These rare, high-probability zones light up your chart with subtle green/red backgrounds and precise triangle markers – showing you exactly where institutional "smart money" is likely stepping in with conviction.
Multiple Ways to Trade It
Classic CMF/signal line crossovers (optional circles)
Smart Money conviction entries (the ones serious traders live by)
Visual reference levels at ±0.2 for strong accumulation/distribution zones
Fully Loaded Alerts
Instant notifications for Bullish/Bearish Smart Money phases
CMF bullish/bearish crossovers
Never miss the moments that move markets.
Perfect For:
Swing traders hunting high-probability reversals
Day traders filtering noise for stronger entries
Anyone who wants to see institutional accumulation/distribution in real time
Clean, non-repainting, lightweight, and overlay-free – it sits beautifully in a separate pane and plays nicely with your existing setup.
Stop guessing where the big money is going. Let Chaikin Money Flow & Volatility Duo + show you – clearly, confidently, and with conviction.
Add it to your chart today and start trading like the smart money does. You’ll wonder how you ever traded without it.
🔶 RISK DISCLAIMER
Trading is risky & most day traders lose money. All content, tools, scripts, articles, & education provided by TheAmericanBastard are purely for informational & educational purposes only. Past performance does not guarantee future results.
Overview of Chaikin Money Flow & Volatility Duo + (CMV_Duo +)
The Chaikin Money Flow & Volatility Duo + is a custom technical indicator built in Pine Script® version 6 for TradingView. It combines two classic metrics from Marc Chaikin—Chaikin Money Flow (CMF) and Chaikin Volatility (CV)—into a single, non-overlay oscillator panel. The goal is to provide insights into accumulation/distribution (via CMF) while filtering for high-conviction moves using volatility (CV). It enhances standard CMF with a signal line, momentum-based coloring, and "Smart Money" signals that highlight potential institutional entry points during rising volatility.
The indicator operates on historical price and volume data from the chart's symbol. It doesn't overlay on the price chart but appears in a separate pane below it. Key features include customizable periods, visual cues like colored histograms and backgrounds, entry signals, and alerts. Below, I'll break it down step by step, referencing the code's logic and calculations.
1. User Inputs and Configuration
The indicator starts with customizable inputs grouped for ease of use in TradingView's settings panel:
Chaikin Money Flow Group:
cmfLen: Integer input for the CMF lookback period (default: 21). This determines how many bars are used to average the money flow.
sigLen: Integer input for the CMF signal line length (default: 9). This smooths the CMF for trend confirmation.
Chaikin Volatility Group:
cvLen: Integer input for smoothing the high-low range (default: 10). Uses an EMA on (high - low).
cvRocLen: Integer input for the Rate of Change (ROC) period on the smoothed range (default: 10).
Visuals Group:
showSmart: Boolean to toggle "Smart Money" entry shapes (default: true).
showCross: Boolean to toggle CMF crossover shapes (default: false).
These inputs allow users to adapt the indicator to different timeframes or assets (e.g., shorter periods for intraday trading).
2. Chaikin Money Flow (CMF) Calculation
CMF measures buying/selling pressure by weighting volume based on where the price closes within the bar's range. It's an oscillator ranging roughly from -1 to +1, where positive values indicate accumulation (buying) and negative values indicate distribution (selling).
The code computes it as follows:
Money Flow Multiplier (MFM):$ NYSE:MFM = \frac{(Close - Low) - (High - Close)}{High - Low}$$
This simplifies to $\frac{2 \cdot Close - High - Low}{High - Low}$, but the code uses the expanded form: (close - low - (high - close)) / (high - low).
MFM is +1 if close is at the high (strong buying), -1 if at the low (strong selling), and 0 if in the middle.
Money Flow Volume (MFV):$ SEED_ALEXDRAYM_SHORTINTEREST2:MFV = MFM \times Volume$$
Scales the multiplier by the bar's volume to emphasize high-volume moves.
CMF:$ AMEX:CMF = \frac{\sum_{i=1}^{cmfLen} MFV_i}{\sum_{i=1}^{cmfLen} Volume_i}$$
Uses ta.sma(mfv, cmfLen) for the numerator (simple moving average of MFV) and ta.sma(volume, cmfLen) for the denominator.
Result: A smoothed ratio showing net money flow over the period.
CMF Signal Line:$$CMF_{Sig} = EMA(CMF, sigLen)$$
An exponential moving average (EMA) of the CMF for a smoother "signal" line, similar to MACD's signal. This helps identify crossovers and trends.
CMF above 0 suggests net buying pressure; below 0 suggests selling. Levels like +0.2/-0.2 (plotted as dashed lines) indicate "strong" accumulation/distribution.
3. Chaikin Volatility (CV) Calculation
CV quantifies volatility by measuring the rate of change in the price range (high - low), smoothed to reduce noise. It's useful for confirming if a move has momentum—rising volatility often accompanies trend starts or breakdowns.
Smoothed High-Low Range:$$HL_{EMA} = EMA(High - Low, cvLen)$$
Applies an EMA to the bar's range for a stable baseline.
Chaikin Volatility (CV):$ NASDAQ:CV = ROC(HL_{EMA}, cvRocLen) = \frac{HL_{EMA} - HL_{EMA} }{HL_{EMA} } \times 100$$
Uses ta.roc(hl_ema, cvRocLen), which computes the percentage change over the period.
Positive CV means expanding ranges (increasing volatility, potential trend acceleration); negative means contracting ranges (decreasing volatility, potential consolidation).
For visualization, CV is scaled by dividing by 200 (cv_scaled = cv / 200) to fit neatly alongside CMF on the same scale, though they have different units. It's plotted as a line: red for positive (rising volatility), blue for negative.
4. Visual Elements
The indicator emphasizes intuitive visuals to make interpretation quick:
CMF Histogram:
Plotted as columns (plot.style_columns).
Color Logic (momentum-based):
If CMF ≥ 0 (accumulation):
Bright green (#26A69A) if rising (cmf > cmf ).
Pale green (#B2DFDB) if falling.
If CMF < 0 (distribution):
Bright red (#EF5350) if falling (cmf < cmf ).
Pale red (#FFCDD2) if rising.
This coloring highlights accelerating vs. decelerating trends.
CMF Signal Line:
Thin orange line (color.orange, linewidth 1) for easy comparison with the histogram.
CV Line:
Thicker line (linewidth 2), red for CV > 0 (expanding volatility), blue for CV < 0.
Reference Lines:
Dotted gray zero line (hline(0)).
Dashed green +0.2 for strong accumulation.
Dashed red -0.2 for strong distribution.
These elements create a clean, glanceable pane where CMF's direction and strength are obvious, augmented by CV's volatility context.
5. "Smart Money" Conviction Signals
This is the indicator's unique enhancement: It filters CMF signals with CV to identify "high-conviction" zones where smart money (e.g., institutions) might be entering.
Bullish Conviction Condition:$$bull_conviction = (CMF > 0) \land (CMF > CMF_{Sig}) \land (CV > 0)$$
CMF positive and above signal (strong buying), plus rising volatility (move has energy).
Bearish Conviction Condition:$$bear_conviction = (CMF < 0) \land (CMF < CMF_{Sig}) \land (CV > 0)$$
CMF negative and below signal (strong selling), plus rising volatility.
Background Highlighting:
Light green background (color.new(color.green, 90)) for bullish conviction.
Light red background for bearish.
Only appears when conditions are true, highlighting sustained phases.
Entry Shapes (if showSmart is true):
Triggers only on the first bar the condition becomes true (bull_entry = bull_conviction and not bull_conviction ).
Green upward triangle at bottom for bullish entry.
Red downward triangle at top for bearish entry.
Small size, no offset, for precise marking.
These signals aim to catch the start of high-probability moves, reducing false positives from low-volatility chop.
6. CMF Crossover Signals
Optional classic signals based on CMF crossing its signal line (if showCross is true):
Bullish Crossover: cross_bull = ta.crossover(cmf, cmfSig) (CMF crosses above signal).
Lime circle at bottom.
Bearish Crossunder: cross_bear = ta.crossunder(cmf, cmfSig) (CMF crosses below signal).
Maroon circle at top.
These are simpler momentum signals, without the volatility filter.
7. Alerts
The indicator includes four alert conditions for TradingView notifications:
Bullish Smart Money: Triggers on bull_conviction (message: "CMF Positive + Rising Volatility").
Bearish Smart Money: Triggers on bear_conviction (message: "CMF Negative + Rising Volatility").
CMF Bullish Crossover: Triggers on CMF > signal (message: "CMF Crossed above Signal").
CMF Bearish Crossunder: Triggers on CMF < signal (message: "CMF Crossed below Signal").
Users can set these up in TradingView to get real-time alerts via email, SMS, etc.
Practical Usage and Interpretation
Timeframe Agnostic: Works on any chart timeframe, but tune periods (e.g., shorter for crypto volatility).
Strengths: Combines flow with volatility to filter noise; Smart Money signals are rare but high-quality.
Limitations: Like all oscillators, it can lag in strong trends or whipsaw in ranges. Always use with price action or other confirmations.
Non-Repainting: All calculations use historical data only—no forward-looking elements.
This indicator empowers traders to spot where volume-weighted pressure aligns with expanding volatility, potentially signaling smart money involvement. If you're implementing it, copy the code into TradingView's Pine Editor and apply it to a chart for hands-on testing!
