Adaptive Pulse BreakoutThe Adaptive Pulse Breakout is a proprietary intraday strategy designed to capture bullish momentum. Unlike standard breakout tools, this system employs a dual-state entry logic that capitalizes on both Volatility Breakouts (Expansion) and Range Reclaims (Recovery).
This script utilizes a locked-volatility algorithm that anchors to the session open. The source code is protected to preserve the specific weighting of the Volume-to-Volatility validation mechanism.
Methodology: The system uses a "Market Personality" approach to filter entries:
Dynamic Anchoring: At the session open, the script locks the opening range and calculates volatility bands using a proprietary ATR multiplier.
Dual-Trigger Entry:
Breakout: Detects when price expands violently above the Upper Pulse Level.
Reclaim: Detects when price recovers and crosses back up through the Lower Pulse Level (a "False Bear Break" recovery).
Volume & Trend Validation: Signals are only generated if the Relative Volume is above average and the price is holding the Trend Baseline.
RSI Validation: Signals are generated based on RSI Momentum with a range of 50 to 75.
Long-Wick Validation: Detects and filters long-wick candles to avoid fake-out entries.
How to Use:
Blue "PULSE BUY" Label: Indicates a confirmed bullish entry (either a fresh breakout or a range recovery).
Black Bar: Indicates the trend has weakened (Price crossed below the baseline) and the position should be exited.
Long Only: This version is tuned specifically for long-side momentum. It does not issue short signals.
Settings:
Volatility Lookback: Adjusts the sensitivity of the opening range calculation.
Filter by Volume: Ensures trades are only taken during high participation.
Filter by RSI: Ensures trades are taken with a RSI momentum of 50 to 75.
Filter by Long-Wick: Rejects trades of candles with a long wick.
Disclaimer: Past performance is not indicative of future results. Use proper risk management.
Volatilidad
Volatility Contraction Box (VCB)Volatility Contraction Box (VCB)
Description (Copy & Paste)
This script is a specialized breakout detector designed for scalpers on the Nifty, BankNifty, and NSE 1-minute timeframes.
Inspiration & Concept The core philosophy of this script is based on the concept of Volatility Contraction—the idea that strong market moves are almost always preceded by a period of "quiet compression."
Conceptual Source: This script was inspired by the trading theory discussed in the article "What 90% of Traders Miss Before a Breakout" by betashorts1998, which highlights the importance of identifying low-volatility zones before the expansion phase occurs.
Adaptation: While the original concept often uses ATR to measure contraction, this script adapts that theory into a Price Action Box Model. It detects physical price stagnation (flat Highs and Lows) to draw visual "Kill Zones" on the chart.
The Problem: The "Fakeout" In 1-minute scalping, a simple breakout often results in a wick that traps traders (a "fakeout"). The Solution: This script uses a Next-Candle Confirmation Algorithm. It detects a breakout but hides the signal until the next candle closes in the direction of the trend. If the follow-through fails, the box and signal are discarded, keeping your chart clean and your capital safe.
How the Code Works (Programmer's Logic)
For those interested in the Pine Script logic, here is how the algorithm processes market data:
1. Stagnation Detection (range_changed) The script uses ta.highest(length) and ta.lowest(length) to track the Donchian Channel of the price.
It checks ta.change(h) and ta.change(l).
If both return 0 (meaning the High and Low haven't moved), a counter (count_activity) increments.
Once this counter hits the threshold (default: 5 bars), a "Virtual Box" is created in the code's memory.
2. The "Ghost" State (Pending Logic) Unlike standard indicators that plot immediately, this script enters a "Pending" state when price breaks the box levels:
pendingDir variable is set to 1 (Buy) or -1 (Sell).
breakoutBar records the specific time of the break.
Crucially, nothing is drawn on the chart yet.
3. The Confirmation Loop The script waits for bar_index == breakoutBar + 1 (the very next candle).
It runs a boolean check: isValid.
For Buys: close >= open (The candle must be Green).
For Sells: close <= open (The candle must be Red).
If isValid is true, the script utilizes box.new and label.new to retroactively draw the setup.
If isValid is false, the variables are reset, and the setup is deleted from memory.
How to Use
Wait for the Signal: Do not pre-empt the move. Wait for the colored Box and "BUY/SELL" label to appear.
Entry: The signal appears on the close of the confirmation candle. Enter immediately.
Stop Loss: Place your SL at the opposite end of the Box.
Targets: Aim for a quick 1:1.5 or 1:2 Risk-Reward, or trail your stop using the previous candle's low/high.
Settings
Lookback Length: How far back to check for High/Low (Default: 20).
Min Flat Candles: Minimum duration of the squeeze (Default: 5).
Box Width: Adjusts the visual multiplier of the box.
Z-Score Panel Pro
📊 Z-SCORE PANEL PRO
A professional statistical analysis panel that displays real-time Z-Score values across multiple timeframes. Clean, elegant design with comprehensive customization options.
🔷 WHAT IS Z-SCORE?
Z-Score measures how many standard deviations the current price is away from its mean. A Z-Score of +2 means price is 2 standard deviations above average, while -2 means 2 standard deviations below.
This statistical approach helps identify:
• Statistically unusual price levels
• Potential mean reversion zones
• Overbought and oversold conditions
• Market volatility extremes
✨ FEATURES
◆ Multi-Timeframe Display
Monitor Z-Score across 7 timeframes simultaneously (1m, 5m, 15m, 30m, 1H, 4H, 1D). Each timeframe can be individually enabled or disabled.
◆ Visual Level Meter
Intuitive bar meter showing the current Z-Score position within the statistical range.
◆ Zone Classification
Automatic labeling of current zone:
• NEUTRAL - Normal range
• OVERSOLD / OVERBOUGHT - Warning zone
• OVERSOLD++ / OVERBOUGHT++ - Danger zone
• EXTREME LOW / EXTREME HIGH - Statistical extremes
◆ Trend Direction Arrow
Visual indicator showing whether Z-Score is rising (▲), falling (▼), or stable (◆).
◆ Color-Coded Values
Each Z-Score value is color-coded based on its zone for instant visual assessment.
◆ Complete Alert System
7 different alert conditions:
• Upper/Lower warning level crossings
• Upper/Lower danger level crossings
• Extreme level alerts
• Return to neutral alerts
• Combined any-level breach alert
⚙️ SETTINGS
Calculation:
• Period (default: 20)
• Source (default: close)
• EMA/SMA toggle
Thresholds:
• 3 upper levels (default: 2.0, 2.5, 3.0)
• 3 lower levels (default: -2.0, -2.5, -3.0)
Panel:
• 8 position options
• Full color customization
• Show/hide individual elements
• Text size options
📖 HOW TO USE
1. Add the indicator to your chart
2. Adjust the calculation period to match your trading style
3. Set your preferred threshold levels
4. Enable the timeframes you want to monitor
5. Configure alerts for levels you want to track
6. Customize colors to match your chart theme
⚠️ DISCLAIMER
This indicator is a statistical analysis tool for informational and educational purposes only.
• It does NOT generate trading signals
• It does NOT guarantee any trading results
• Past statistical patterns do NOT predict future outcomes
Always perform your own analysis and apply proper risk management. Trading involves significant risk of loss.
If you find this indicator useful, please consider leaving a comment or suggestion. Your feedback is appreciated!
Super OscillatorSuper Oscillator – Intraday Momentum
Super Oscillator is a momentum-based oscillator designed for intraday trading, optimized for 1-minute charts and fast market conditions.
The indicator uses a zero-centered momentum model with dynamic smoothing and clearly defined zones to help traders identify exhaustion, pullbacks, and momentum shifts without excessive noise.
Key Features
Zero-centered oscillator for immediate directional bias
Dynamic overbought and oversold zones
Neutral “dead zone” to avoid low-probability trades
Smoothed momentum line with signal line for timing entries
Optimized for scalping and short-term intraday trading
Fully compatible with TradingView Pine Script v6
How to Use
Overbought zone: Look for bearish reactions or momentum exhaustion
Oversold zone: Look for bullish reactions or pullbacks
Dead zone: Avoid trades when momentum is unclear
Use the oscillator as a confirmation tool, always with price action and structure
Best Use Case
Intraday scalping (1M–5M)
Futures markets (indices, metals)
NY session trading
Disclaimer
This indicator does not predict price direction. It measures momentum and exhaustion and should be used as part of a complete trading plan with proper risk management.
MACD-V (Volatility Normalized MACD)Award-Winning Momentum Indicator by Alex Spiroglou (CMT Charles Dao Award & NAAIM Founders Award, 2022)
The classic MACD has powered trading decisions for decades, but it suffers from five major limitations that undermine consistency:
1- Readings are not comparable over time (absolute price dependency causes massive scale differences across decades)
2- Not comparable across markets or assets (e.g., stocks vs. forex vs. crypto)
3- No universal overbought/oversold levels
4- Excessive whipsaws in low-momentum/range-bound conditions
5- Lagging signals in high-momentum reversals (e.g., missing big chunks of V-shaped recoveries)
MACD-V solves all five issues by normalizing momentum against volatility instead of price.
Core Formula
MACD-V = (EMA(12) - EMA(26)) / ATR(26) × 100
This expresses momentum in units of Average True Range (ATR), creating a volatility-adjusted oscillator that remains mathematically meaningful and comparable:
-Analysts can use MACD-V across any timeframe:
-Across any asset class (stocks, forex, commodities, bonds, crypto)
-Over decades of history
Key Features & Benefits
Time-stable & cross-market comparable: A +100 reading today has the same meaning as +100 in the past years, regardless of asset or price level.
Universal extremes: ±150 captures ~95% of all readings across markets → extreme/stretched momentum.
Momentum Lifecycle Roadmap (objective framework):
+150 or < -150: Extreme / overstretched (high reversal risk)
+50 to +150 or -50 to -150: Strong directional momentum (rallying, retracing, rebounding, reversing)
-50 to +50: Neutral / low momentum / ranging (avoid most signals — high whipsaw zone)
Range Rules for regime context: In bullish regimes (price > 200 EMA), -50 to -150 becomes the practical oversold zone; readings below -100 are rare and often powerful buy setups. Opposite in bearish regimes.
Improved signal quality: Filter whipsaws in neutral zone, anticipate lag in extremes, prioritize high-probability crosses in strong-momentum bands.
MACD-V Histogram (MACD-VH): Normalized short-term momentum with extremes at ±40 for fast reversal detection.
Backtesting & strategy-friendly: Enables reliable historical analysis, cross-asset relative strength, and systematic rules
MACD-V transforms momentum from subjective art into objective, repeatable science — giving you consistent, actionable insights no matter what you're trading.
Use it standalone or layer with trend filters (e.g., 200 EMA), volume, or price action for even stronger edges.
Developer: Alex Spiroglou
Open-source versions inspired by his work — feel free to fork and improve!
Happy trading! 🚀
The System THE SYSTEM — Intraday Market Regime & Decision Framework
Overview THE SYSTEM is a closed-source market regime and decision-support framework designed for intraday use, specifically optimized for futures markets. The purpose of the system is not continuous signal generation, but the clear separation of tradable and non-tradable market environments, as well as the statistical reduction of decision-making errors.
Applied Elements and Methodology THE SYSTEM is built upon classical technical indicator families (trend, momentum, and volatility-based calculations); however, it does not use them as standalone indicators or for direct signal generation. The roles of these indicators are functionally separated and organized into a hierarchical decision architecture. These individual elements would not provide a trading signal on their own.
Architecture Overview The operation of the system is based on four mutually validating logical layers:
1. Market Regime Classification The system continuously classifies the market into one of the following states: Trending, Transitional, or Range/Chop. This classification is based on a combination of volatility, momentum, and structure-based measurements. In a Range/Chop state, signal generation is hard-blocked, and the system prohibits trading.
2. Directional Bias Engine (MTF / HTF Validation) Short-term movements are compared against higher-timeframe trend and structural analysis. The system excludes setups that run counter to the dominant direction, reducing the number of counter-trend and false breakout entries. HTF / MTF parameters are user-adjustable; any modifications are at the user's own risk.
3. Momentum & Volatility Filter Signals can only be activated if the current impulse energy exceeds an adaptive threshold and the volatility environment is statistically suitable for intraday trading. This module filters out low-participation moves, exhausted impulses, and noise-driven price fluctuations.
4. Price Action Validation Layer The system also analyzes the internal structure of candles: body-to-wick ratios, closing positions within the range, and impulse continuity. A signal is generated only if the movement is structurally consistent.
Why is it not an Indicator Mashup? THE SYSTEM does not combine indicator values; it builds chains of conditions. A signal can only arise if the market environment is tradable, the direction aligns with the higher timeframe structure, the momentum and volatility are appropriate, and the price action structure is valid. If any layer fails, the system provides no signal. This logic cannot be reproduced by simply merging indicators.
Visual Context Logic The background color is the system's primary decision filter:
🟢 Green – Bullish environment (long-only focus).
🔴 Red – Bearish environment (short-only focus).
⚪ Neutral – Transitional zone; both trend and reversal signals may appear.
⚫ Gray – Range / Chop state; signaling is prohibited.
Technical Characteristics of Signals Long, Short, Early Exit, and Trailing Stop signals may appear intra-bar, but they only become final upon the closing of the candle. The system does not repaint on a closed candle. A yellow signal warns of momentum exhaustion but is non-deterministic and does not appear in all cases.
Optimized Usage
Recommended Timeframe: 5 minutes. Reliability may decrease on lower timeframes due to market noise.
Typical Instruments: Index futures (NQ, ES, YM, RTY), Commodities (Gold, WTI Oil, Copper, Henry Hub Gas), and Crypto (BTC Futures / Perpetuals).
Why is it invite only? The added value is not the existence of the indicators used, but their functional separation, the hierarchical decision logic, and the framework that actively filters out statistically unfavorable trades. The system's goal is not more trades, but fewer, higher-quality decisions.
Disclaimer THE SYSTEM is not an automated strategy but a discretionary decision-support tool. Risk management, position sizing, and trade management are the sole responsibility of the user. Past results do not guarantee future performance.
Price Acceptance MapPrice Acceptance Map
Price Acceptance Map is a read-only market context indicator that evaluates whether newly asserted price levels are being accepted, rejected, or remain undefined by subsequent market behavior.
Rather than treating trend continuation as confirmation, this indicator frames directional price movement as an attempt to establish a new auction level. That attempt must then be validated or rejected after the fact.
The indicator follows three conceptual steps:
Environment Qualification
Evaluation is permitted only when market structure and volatility conditions are suitable. When these conditions are not met, the indicator intentionally remains silent.
Level Assertion Detection
Meaningful price expansion beyond recent balance is interpreted as a level claim. Gradual movement may result in no level being defined.
Acceptance Verdict
Subsequent price behavior determines whether the level is:
Accepted (held by the market),
Rejected (failed and returned into prior balance), or
Undefined (no valid level requiring a verdict).
The current state is displayed using a simple, non-interpretive panel:
ACCEPTED / LEVEL ACCEPTED
NOT ACCEPTED / LEVEL REJECTED
UNRESOLVED / LEVEL UNDEFINED
Important Notes
Indicator only (no signals, no orders)
Evaluated on confirmed bar close
No intentional repaint or lookahead logic
Designed for contextual analysis, not prediction
Price Acceptance Map is intended to clarify when the market is making a decision — and when it is not.
NY S/R Breakout V1drive.google.com
drive.google.com
Using ATR, VWAP, and RVOL, we can make assumed breakout lines that follow as the price develops, and when a good breakout happens, the lines won't follow but become slightly static to confirm.
The best use I've seen with this indicator is when Price on the 5m closes officially above or below one of the lines, and then shows some bullish push up on the 1m, followed by VWAP price being below price if Bullish, and Above price if Bearish (A good distance is developed for an accurate VWAP)
Please note that this indicator was developed using Google AI.
Please comment on your thoughts, ideas, and improvements to help this indicator grow!
The best settings for this are:
Keep only Long Buffer, short Buffer, and VWAP on
Turn off the ORB High and Low
ATR - 0.3
Relative Volume Threshold - 1.2
These are the settings I found successful for finding confirmed breakouts at 9:30 AM EST, market open
This code was developed by @parischristo67
Coded with Gemini
Market State Tracker🙏🏻 This is MST (Market State Tracker) , it’s main purpose is to tell whether it's better to take a predefined take-profit, or to expect a runner.
Unlike widely-known alternatives, this model is made with top state-space and innovation modelling tech, and it takes the necessary info ‘itself’ (not the derivatives) from the right places. In fancy terms it’s not even a model, it’s an ensemble of several models. If you want to get familiar with other work of mine like this, check UAT .
^^ compared with reverse-engineered Jurik Moving Average in moving window mode
…
Main use case : take-profit engine. It tells whether to hold a position past its primary 1:1 Risk:Reward take-profit up to the opposite entry), or to close it right away at 1:1.
Alternative use case : market state operator. Alternatively the study can be used as a primary market-state operator that would actually define further strategies and actions. It’s very useful if your strategies are not market regime agnostic. Otherwise, use it only as the main use case tells.
Other use cases : anything that other mainstream studies are doing, but better* (proceed to the Tech Note in the end of the post): trend detection, price smoothing, crossovers, dynamic S&R etc.
…
How to use:
The script has 2 studies, lower study (blue and red lines) and upper study (purple and gray lines).
...
Lower study is less variance & more bias option , in general it’s less preferred than upper study, but if none of your other system layers do not gauge directional info directly and you wanna keep it simply this way, this lower study is what you need.
Lower study states -> advised take-profit strategy:
When: negative gamma (red line) is above positive gamma (blue line), market is biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
When: positive gamma (blue line) is above negative gamma (red line), market is biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
...
Upper study is the preferred one in general because of its higher informational content. Most probably, if you’re already gaining directional info on your other system layers, this one will likely provide you information you don’t gain there. Here the purple line is the lead state estimate, and the gray line is the lagged state estimate, and current price = current bar POC or HLC3 (inferred POC).
Upper study states -> advised take-profit strategy:
When: current price > purple line > gray line, market is heavily biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
When: current price < purple line < gray line, market is heavily biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
When: purple line > gray line > current price, market is biased towards another buy wave, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
When: purple line < gray line < current price, market is biased towards another sell wave, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
All other price x purple line x gray line patterns are considered neutral, and both longs and shorts are done with minimal 1:1 Risk:Reward.
Important: if you trade based on current session activity, you have to track current states. If you trade based on previous session levels, you only need the last state of that session that originated the level.
Important 2: The script has a setting called “blend”. The differences between all 3 options provided there are extremely low, and moreover it doesn’t change the main part: location of crossovers. So I left it here because I genuinely don’t know yet which of these is the most primordial math option for the current context xd.
...
* now about this:
Tech note
In short: it gains all the information without touching artifacts with the best possible math that runs on O(1) time complexity.
The ‘final’ time complexity of the whole method is O(1), both in moving and expanding window modes.
The main short-term forecasting & innovations engine, I called it VAPM (Volume Acceleration Price Model) , is inspired by how prediction and NaN fills works on the lowest hardware level, processor cache etc. It’s based on splines , the most fundamental geometrical principles. This is the stuff you can run on FPGAs doing UHFT, not even HFT.
Based on lead/lag and negative/positive relationships with the VAPM forecasts, innovations are separated into 4 different streams.
Each stream of these 4 then discovers its own adaptive gain (limited by theoretical constraints of the exponential distribution each stream follows).
Then, 4 separate PVA (Position Velocity Acceleration) state-space models are run on POC estimate of each bar, using previously computed 4 different adaptive gains. Initial impulse response of the models was almost exactly matched with the Extended Beta(2, 2) Window, provided in UAT open access script (heck the code & description, it would worth it).
Then these 4 separate trackers are grouped pairwise and blended into 2, resulting in the lead/lag model.
Additionally, 4 adaptive gains are blended into 2 separate pos/neg models. I offer 3 blending options: max(), contraharmonic mean, and Log-Sum-Exp. The differences of outputs based on these 3 options are almost negligible.
All possible hidden issues like info leakage from previous finished expanding windows, or special cases of forecasts at the very few first datapoints, are taken into account and solved. The whole method has zero constants and zero pre-optimized or arbitrary values, everything based on fundamental math entities / objects.
…
∞
Sector Rotation Dashboard (Beta)🎯 OVERVIEW
The Sector Rotation Indicator is a comprehensive real-time dashboard that tracks money flow across all 11 S&P 500 sector ETFs and 6 major macro assets. It automatically detects market regimes (Risk-On, Risk-Off, Tech-Led), flags anomalies, and shows you where institutional money is flowing.
Whether you're trading individual stocks, sector ETFs, or managing a portfolio, this indicator tells you:
• Which sectors are leading/lagging (ranked by relative strength)
• What market regime we're in (Risk-On, Risk-Off, Tech-Led, Mixed)
• Where the anomalies are (sectors behaving unexpectedly)
• How confident the signals are (based on cross-sector confirmation)
• What sector ETF the current chart ticker belongs to, if any (with rank and RS%)
🚧 BETA NOTICE
⚠️ This indicator is currently in BETA.
IMPORTANT - ETF Holdings Database:
• The 500+ stock-to-sector mappings are based on actual ETF holdings
• SPDR sector ETFs rebalance quarterly (3rd Friday of Mar/Jun/Sep/Dec)
• Holdings data requires MANUAL updating by the creator after each rebalance
• Users may experience DELAYS in data updates following rebalance dates
• Some newly added or removed stocks may be temporarily misclassified
📊 WHAT IT TRACKS
11 SPDR Sector ETFs:
• XLE (Energy) - Cyclical
• XLF (Financials) - Cyclical
• XLI (Industrials) - Cyclical
• XLY (Consumer Discretionary) - Cyclical
• XLB (Materials) - Cyclical
• XLK (Technology) - Growth
• XLC (Communication Services) - Growth
• XLV (Healthcare) - Defensive
• XLP (Consumer Staples) - Defensive
• XLU (Utilities) - Defensive
• XLRE (Real Estate) - Defensive
6 Macro Assets:
• GLD (Gold) - Safe Haven
• TLT (20+ Year Treasuries) - Safe Haven
• UUP (US Dollar Index) - Currency
• DBC (Commodities) - Risk/Inflation
• EEM (Emerging Markets) - Risk Appetite
• IBIT (Bitcoin) - Speculative
🔥 KEY FEATURES
1️⃣ Real-Time Sector Rankings
• All 11 sectors ranked by Relative Strength (RS) vs SPX
• Dual color coding: Background = RS, Text = Absolute performance
• Trend arrows showing momentum (↑↑, ↑, →, ↓, ↓↓)
• Rank change tracking with configurable alert threshold
2️⃣ Intelligent Regime Detection
• Risk-On: Cyclicals leading (XLE, XLF, XLI, XLY, XLB)
• Risk-Off: Defensives leading (XLV, XLP, XLU, XLRE)
• Tech-Led: Growth dominating (XLK, XLC)
• Mixed: No clear leadership
• High Volatility: Signals unreliable
3️⃣ Anomaly Detection System
• Flags sectors that jump/drop 3+ ranks
• Detects behavioral anomalies (e.g., Energy #1 in Risk-Off)
• High volatility warnings when multiple sectors show extreme moves
• Dynamic tooltips explain WHY each anomaly is flagged
4️⃣ Confidence Scoring
• Counts how many sectors confirm the current regime
• High (7+), Medium (5-6), Low (<5) confidence levels
• Shows exactly which sectors are confirming vs diverging
5️⃣ Current Ticker Classification
• Built-in database of 500+ stock tickers mapped to sector ETFs
• Shows your current chart's sector, rank, and RS
• Dual classification: ETF Holdings + TradingView (mismatch detection)
6️⃣ Macro Cross-Asset Flow
• Tracks 6 macro assets for broader market context
• Interprets flows: Risk-Off Flow, Risk-On Flow, Flight to Safety
• Equity outflow warnings when safe havens beat SPX significantly
7️⃣ Educational Tooltips
• Hover over ANY cell for detailed explanations
• Dynamic tooltips show live data + educational context
• Learn what drives each signal while you trade
📖 HOW TO READ THE DASHBOARD
Sector Panel:
• Green background = Outperforming SPX (positive RS)
• Red background = Underperforming SPX (negative RS)
• Green text = Positive absolute return
• Red text = Negative absolute return
• Δ column shows rank changes (⚠️ = significant move)
Interpretation Panel:
• ROTATION → Describes current sector movement pattern
• REGIME → Current market environment classification
• ALERT → Anomalies detected or "All Clear" status
• CONFIDENCE → Signal reliability score with breakdown
Macro Panel:
• Signal column: Strong > Bid > Neutral > Offered > Weak
• FLOW row: Summary of cross-asset money movement
⚙️ SETTINGS & RECOMMENDATIONS
PRIMARY TIMEFRAME (days) - Default: 20
Lookback period for RS calculation.
• 5-10 days: Day/swing traders - responsive but noisier
• 20 days: Most traders - good balance of signal vs noise ⭐
• 50 days: Position traders - smooth, confirms established trends
• 100+ days: Investors - major regime shifts only
Tip: Match to your typical holding period.
TREND TIMEFRAME (days) - Default: 5
Shorter lookback for momentum arrows (↑↑ ↑ → ↓ ↓↓).
• 3 days: Aggressive - more sensitive, more arrow changes
• 5 days: Most traders - catches momentum shifts without whipsaws ⭐
• 10 days: Conservative - smoother, fewer false reversals
Tip: Keep at 1/4 to 1/5 of Primary Timeframe.
ALERT THRESHOLD (ranks) - Default: 3
Minimum rank change to trigger ⚠️ anomaly alert.
• 2 ranks: Active traders - more alerts, catches smaller rotations
• 3 ranks: Most traders - significant moves only (e.g., #8→#5) ⭐
• 4-5 ranks: Swing/position - major disruptions only, high conviction
Tip: Lower = more alerts, Higher = fewer but stronger signals.
RECOMMENDED COMBINATIONS BY TRADING STYLE:
• Day Trading: Primary 10, Trend 3, Alert 2
• Swing Trading: Primary 20, Trend 5, Alert 3
• Position Trading: Primary 50, Trend 10, Alert 4
• Long-term Investing: Primary 100, Trend 20, Alert 5
OTHER SETTINGS:
• 44+ color and opacity controls for full customization
• Dark/Light theme support
• Compact view (Top 3 + Bottom 3) or Full view (all 11)
• Show/hide interpretation panel
🚨 BUILT-IN ALERTS
• Sector rotation changes (Cyclical ↔ Defensive)
• Regime changes (Risk-On ↔ Risk-Off ↔ Tech-Led)
• Large rank movements (configurable threshold)
• Equity outflow detection
• Safe haven bid alerts
• Global risk-on signals
💡 TRADING APPLICATIONS
For Stock Traders:
• See if your stock's sector is leading or lagging
• Avoid fighting the sector trend
• Find stocks in leading sectors for momentum plays
For Sector Rotators:
• Identify rotation early with rank change alerts
• Confirm regime with confidence scoring
• Spot anomalies that may signal turning points
For Portfolio Managers:
• Monitor risk-on/risk-off positioning
• Track cross-asset correlations
• Get early warning of defensive rotations
For Macro Traders:
• Cross-reference sector rotation with macro flows
• Identify flight-to-safety episodes
• Track inflation hedge positioning
📝 TECHNICAL NOTES
• Data Source: TradingView sector data + custom ETF holdings database
• ETF Holdings: 500+ tickers mapped to sector ETFs (manually maintained)
• Rebalancing: SPDR ETFs rebalance on 3rd Friday of Mar/Jun/Sep/Dec
• Best Timeframe: Daily recommended, works on all timeframes
• Performance: Optimized for minimal lag despite tracking 17 assets
• Pine Script: Version 6
⚠️ DATA UPDATE SCHEDULE:
The ETF holdings database is manually updated by the creator following each quarterly rebalance. Updates are typically completed within 1-2 weeks after the official rebalance date. During this period, some ticker classifications may be outdated. The indicator will fall back to TradingView's sector classification for any tickers not found in the database.
⚠️ DISCLAIMER
This indicator is currently in BETA. Features may change, and bugs may exist.
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.
Smart Liquidity & Step-TrendSmart Liquidity & Step-Trend
Overview
The Smart Liquidity & Step-Trend is a technical analysis tool designed to identify market manipulation points, specifically Liquidity Sweeps, and filter them using a Dynamic Multi-Timeframe (MTF) Trend.
By combining Price Action concepts with institutional flow logic, this indicator helps traders spot high-probability reversal zones where "Smart Money" typically enters the market by capturing retail stop-losses.
The Core Concept: Where is the Liquidity?
Markets do not move randomly. Institutional players require significant liquidity to fill their large orders. This liquidity is often found where retail traders place their stop-loss orders: above obvious swing highs and below obvious swing lows.
A Liquidity Sweep occurs when the price briefly breaks through these key levels to trigger stops/orders and then immediately reverses back into the range. This indicator visualizes these events as potential turning points.
To increase the probability of success, the Step-Trend (EMA) provides a higher-timeframe context, ensuring you are aware of the dominant market direction.
Key Features
Advanced Sweep Detection: Automatically identifies false breakouts of key swing highs and lows.
Dynamic MTF Logic:
- Trend Filter: The EMA (Exponential Moving Average) is calculated on a timeframe of your choice (e.g., 4H) even while viewing a lower timeframe (e.g., 15m).
- MTF Swings: Support and Resistance zones are derived from MTF data for higher reliability.
Temporary vs. Historical Zones:
- Mitigation Logic (Default): Zones are automatically deleted once the price closes through them. This keeps your chart clean, showing only active and relevant levels that haven't been "tested" yet.
- History Mode: Toggle "Show Historical Zones" to keep all past levels on the chart for backtesting and analysis.
ATR Filter (Zone Importance): Adjustable sensitivity to filter out market noise and focus on significant liquidity grabs.
How to Trade with This Indicator
1. Trend Confluence (Recommended)
This is the highest probability setup.
- BUY Signal: Look for a "SUPPORT" zone (teal) forming below the price while the Step-Trend EMA indicates an uptrend. This suggests a "buy-the-dip" manipulation. Use the "Trend Confluence Buy Signal" alert.
- SELL Signal: Look for a "RESISTANCE" zone (orange) forming above the price while the Step-Trend EMA indicates a downtrend. Use the "Trend Confluence Sell Signal" alert.
2. Scalping & Reversals
- Users can utilize the "SUPPORT" and "RESISTANCE" zones as potential targets or quick scalp entry points even against the main trend. Use the "Any Trend" sweep alerts for this style of trading.
Settings Explained
- Liquidity & Trend Timeframe: The timeframe used for trend calculation and swing detection.
- Swing Sensitivity: How "obvious" a high or low must be to be considered a liquidity target.
- Zone Importance (ATR Filter): Defines how deep the sweep must be relative to current volatility.
- Show Historical Zones: Switch between a clean chart (temporary zones) and a backtesting view (historical zones).
Important Notice:
No indicator is 100% accurate. This tool is intended to confirm your own analysis and trading strategies. Always use proper Risk Management and do not trade based on just one indicator.
I hope this tool will help you improve your trading!
SilverHawk HTF Alignment Panel ProThis premium dashboard displays multi-timeframe trend alignment, confidence score, regime, and risk assessment in a single, easy-to-read panel.
Core calculation & how it works:
- Trend direction: user-selectable engine (EMA cross, price vs EMA, Supertrend)
- Strength %: EMA spread relative to historical max
- Volume %: current RVOL vs average
- Volatility %: current ATR vs historical max
- Momentum %: RSI(14)
- Confidence %: weighted blend of strength, volume, volatility, momentum
- Regime: expansion (high vola + strength), compression (low vola + strength), normal
- Alignment %: agreement between chart TF trend + 2 higher TFs
- Gate: pass if at least 2 TFs align
- Risk Load: ATR relative to distance from slow EMA
- Quality (A/B/WAIT): final score based on confidence, alignment, risk, regime
Features:
- Color-coded table (bullish green, bearish red, neutral gray)
- Customizable location (top/bottom left/right)
- Optional info column explaining each metric
- Optional manual reference panel
- High-performance rendering (fixed rows/columns)
Settings:
- Dashboard Location: top-left/right, bottom-left/right
- Trend Engine: EMA Cross, Price vs EMA, Supertrend
- EMA lengths, Supertrend period/factor
- Lookbacks for strength, volume, volatility
- Weights for confidence calculation
- Style: header/row colors, text color, border
- Extras: show manual panel, show info column
Best used on H1–D1 timeframes in Forex or indices for quick multi-timeframe assessment and decision support. Combine with structure, volume confirmation and risk management.
Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
SilverHawk Market Decision Panel ProThis premium dashboard aggregates multiple market metrics into a single, easy-to-read panel to help make faster trading decisions.
Core calculation & concepts:
- Trend direction: EMA cross, price vs EMA, or Supertrend (user-selectable)
- Strength/Confidence %: weighted blend of trend force (EMA spread vs max), volume (RVOL vs avg), volatility (ATR vs max), momentum (RSI)
- Regime detection: expansion (high vola + strength), compression (low vola + strength), normal
- Risk Load: ATR relative to distance from EMA (lower = better entry)
- Quality rating (A/B/C): final score based on confidence, alignment, risk, regime
Features:
- Clean table layout (customizable location: top-left/right, bottom-left/right)
- Color-coded status (bullish/green, bearish/red, neutral/gray)
- Optional info column explaining each metric
- Optional manual reference panel
- High-performance (fixed rows/columns, no excessive objects)
Settings:
- Dashboard Location: top-left/right, bottom-left/right
- Trend Engine: EMA Cross, Price vs EMA, Supertrend
- EMA lengths, Supertrend period/factor
- Lookbacks for strength, volume, volatility
- Weights for confidence calculation (adjustable)
- Style: header/row colors, text color, border
- Extras: show manual panel, show info column
Best used on H1–D1 timeframes in Forex or indices for quick market assessment and decision support. Combine with structure, volume confirmation and risk management.
Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
PSAR Laboratory [DAFE]PSAR Laboratory : The Ultimate Adaptive Trailing Stop & Reversal Engine
23 Advanced Algorithms. Adaptive Acceleration. Smart Flip Logic. Parabolic SAR Reimagined.
█ PHILOSOPHY: WELCOME TO THE LABORATORY
The standard Parabolic SAR, created by the legendary J. Welles Wilder Jr., is a tool of beautiful simplicity. But in today's complex, algorithm-driven markets, its simplicity is its fatal flaw. Its fixed acceleration and rigid flip logic cause it to fail precisely when you need it most: it whipsaws in choppy conditions and gives back too much profit in strong trends.
The PSAR Laboratory was not created to be just another PSAR. It was engineered to be the definitive evolution of Wilder's original concept. This is not an indicator; it is a powerful, interactive research environment. It is a sandbox where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a PSAR that is perfectly adapted to your specific market, timeframe, and trading style.
We have deconstructed the very DNA of the Parabolic SAR and rebuilt it from the ground up, infusing it with modern quantitative techniques. The result is an institutional-grade suite of 23 distinct, mathematically diverse algorithms that dynamically control every aspect of the PSAR's behavior.
█ WHAT MAKES THIS A "LABORATORY"? THE CORE INNOVATIONS
This tool stands in a class of its own. It is a collection of what could be 23 separate indicators, all seamlessly integrated into one powerful engine.
The 23 Algorithm Engine: This is the heart of the Laboratory. Instead of one rigid formula, you have a library of 23 unique mathematical engines at your command. These algorithms are not simple tweaks; they are complete re-imaginings of how the PSAR should behave, based on concepts from information theory, digital signal processing, fractal geometry, and institutional analysis.
Truly Adaptive Acceleration (AF): The standard PSAR's "gas pedal" (the AF) is dumb; it accelerates at a fixed rate. Our algorithms make it intelligent. The AF can now speed up in clean, trending environments to lock in profits, and automatically slow down in choppy, chaotic conditions to avoid whipsaws.
Advanced Flip Confirmation Logic: Say goodbye to noise-driven flips. You are no longer at the mercy of a single wick touching the SAR. The Laboratory provides multiple layers of flip confirmation, including requiring a bar close beyond the SAR, a volume spike to validate the reversal, or even a multi-bar confirmation .
Comprehensive Noise Filtering Core: In a revolutionary step, you can apply one of over 30 advanced signal processing filters directly to the SAR output itself. From ultra-low-lag filters like the Hull MA and DAFE Spectral Laguerre to adaptive filters like KAMA and FRAMA , you can surgically remove noise while preserving the responsiveness of the core signal.
Integrated Performance Engine: How do you know which of the 23 algorithms is best for your market? You test it. The built-in Performance Dashboard is a comprehensive backtesting and analytics engine that tracks every trade, providing real-time data on Win Rate, Profit Factor, Max Drawdown, and more. It allows you to scientifically validate your chosen configuration.
█ A GUIDED TOUR OF THE ALGORITHMS: 23 PATHS TO AN EDGE
b]These 23 algorithms are not simple settings; they are distinct mathematical philosophies for how a Parabolic SAR should adapt to the market. They are grouped into three primary categories: those that adapt the Acceleration Factor (AF) , those that enhance the Extreme Point (EP) detection, and those that redefine the Flip Logic .
CATEGORY A: ACCELERATION FACTOR (AF) ADAPTATION
These algorithms dynamically change the "gas pedal" of the PSAR.
1. Volatility-Scaled AF
Core Concept: Treats volatility as market friction. The PSAR should be more forgiving in high-volatility environments.
How It Works: It calculates a Volatility Ratio by comparing the short-term ATR to the long-term ATR. If current volatility is high (ratio > 1), it reduces the AF Step. If volatility is low (ratio < 1), it increases the AF Step to trail tighter.
Ideal Use Case: The best all-rounder. Excellent for any market, especially those with clear shifts between high and low volatility regimes (like indices and crypto).
2. Efficiency Ratio (ER) AF
Core Concept: The PSAR should accelerate aggressively in clean, efficient trends and slow down dramatically in choppy, inefficient markets.
How It Works: It uses Kaufman's Efficiency Ratio (ER), which measures the net directional movement versus the total price movement. A high ER (near 1.0) signifies a pure trend, triggering a high AF multiplier. A low ER (near 0.0) signifies chop, triggering a low AF multiplier.
Ideal Use Case: Markets that alternate between strong trends and sideways chop. It is exceptionally good at surviving ranging periods.
3. Shannon Entropy AF
Core Concept: Uses Information Theory to measure market disorder. The PSAR should be conservative in chaos and aggressive in order.
How It Works: It calculates the Shannon Entropy of recent price changes. High entropy means the market is unpredictable ("chaotic"), causing the AF to slow down. Low entropy means the market is organized and trending, causing the AF to speed up.
Ideal Use Case: Advanced traders looking for a mathematically pure way to distinguish between a tradable trend and random noise.
4. Fractal Dimension (FD) AF
Core Concept: Measures the "jaggedness" or complexity of the price path. A smooth path is a trend; a jagged, space-filling path is chop.
How It Works: It calculates the Fractal Dimension of the price series. An FD near 1.0 is a smooth line (high AF). An FD near 1.5 is a random walk (low AF).
Ideal Use Case: Visually identifying the moment a smooth trend begins to break down into chaotic, unpredictable movement.
5. ADX-Gated AF
Core Concept: Uses the classic ADX indicator to confirm the presence of a trend before allowing the PSAR to accelerate.
How It Works: If the ADX value is above a "Strong" threshold (e.g., 25), the AF accelerates normally. If the ADX is below a "Weak" threshold (e.g., 15), the AF is "frozen" and will not increase, preventing the SAR from tightening up in a non-trending market.
Ideal Use Case: For classic trend-following purists who trust the ADX as their primary regime filter.
6. Kalman AF Estimator
Core Concept: A sophisticated signal processing algorithm that predicts the "true" optimal AF by filtering out price "noise."
How It Works: It treats the PSAR's AF as a state to be estimated. It makes a prediction, then corrects it based on how far the actual price deviates. It's like a GPS constantly refining its position. The "Process Noise" input controls how fast it thinks the AF can change, while "Measurement Noise" controls how much it trusts the price data.
Ideal Use Case: Smooth, high-inertia markets like commodities or major forex pairs. It creates an incredibly smooth and responsive AF.
7. Volume-Momentum AF
Core Concept: A trend's acceleration is only valid if confirmed by both volume and price momentum.
How It Works: The AF will only increase if a new Extreme Point is made on above-average volume AND the Rate of Change (ROC) of the price is aligned with the trend's direction.
Ideal Use Case: Any market with reliable volume data (stocks, futures, crypto). It's excellent for filtering out low-conviction moves.
8. Garman-Klass (GK) AF
Core Concept: Uses a more advanced, statistically efficient measure of volatility (Garman-Klass, which uses OHLC data) to adapt the AF.
How It Works: It modulates the AF based on whether the current GK volatility is higher or lower than its historical average. Unlike the standard Volatility-Scaled algo, it tends to slow down more in high volatility and speed up less in low volatility, making it more conservative.
Ideal Use Case: Traders who want a volatility-adaptive model that is more focused on risk reduction during volatile periods.
9. RSI-Modulated AF
Core Concept: The RSI can identify points of potential trend exhaustion or strong momentum.
How It Works: If a trend is bullish but the RSI enters the "Overbought" zone, the AF slows down, anticipating a pullback. Conversely, if the RSI is in the strong momentum mid-range (40-60), the AF is boosted to trail more aggressively.
Ideal Use Case: Mean-reversion traders or those who want to automatically loosen their trail stop near potential exhaustion points.
10. Bollinger Squeeze AF
Core Concept: A Bollinger Band Squeeze signals a period of volatility compression, often preceding an explosive breakout.
How It Works: When the algorithm detects that the Bollinger Band Width is in a "Squeeze" (below a certain historical percentile), it boosts the AF in anticipation of a fast move, allowing the PSAR to catch the breakout quickly.
Ideal Use Case: Breakout traders. This algorithm primes the PSAR to be maximally responsive right at the moment a breakout is most likely.
11. Keltner Adaptive AF
Core Concept: Keltner Channels provide a robust measure of a trend's "normal" volatility channel.
How It Works: When price is trading strongly outside the Keltner Channel, it's considered a powerful trend, and the AF is boosted. When price falls back inside the channel, it's considered a consolidation or pullback, and the AF is slowed down.
Ideal Use Case: Trend followers who use channel breakouts as their primary confirmation.
12. Choppiness-Gated AF
Core Concept: Uses the Choppiness Index to quantify whether the market is trending or consolidating.
How It Works: If the Choppiness Index is below the "Trend" threshold (e.g., 38.2), the AF is boosted. If it's above the "Range" threshold (e.g., 61.8), the AF is significantly reduced.
Ideal Use Case: A more responsive alternative to the ADX-Gated algorithm for distinguishing between trending and ranging markets.
13. VIDYA-Style AF
Core Concept: Uses a Chande Momentum Oscillator (CMO) to create a variable-speed acceleration factor.
How It Works: The absolute value of the CMO is used to create a dynamic smoothing constant. Strong momentum (high absolute CMO) results in a faster, more responsive AF. Weak momentum results in a slower, smoother AF.
Ideal Use Case: Momentum traders who want their trailing stop's speed directly tied to the momentum of the price itself.
14. Hilbert Cycle AF
Core Concept: Uses Ehlers' Hilbert Transform to extract the dominant cycle period of the market and synchronizes the PSAR with it.
How It Works: It dynamically adjusts the AF based on the detected cycle period (shorter cycles = faster AF) and can also modulate it based on the current phase within that cycle (e.g., accelerate faster near cycle tops/bottoms).
Ideal Use Case: Markets with clear cyclical behavior, like commodities and some forex pairs.
CATEGORY B: EXTREME POINT (EP) ENHANCEMENT
These algorithms make the detection of new highs/lows more intelligent.
15. Volume-Weighted EP
Core Concept: A new high or low is more significant if it occurs on high volume.
How It Works: It can be configured to only accept a new EP if the volume on that bar is above average. It can also "weight" the EP by volume, pushing it further out on high-volume bars.
Ideal Use Case: Filtering out weak, low-conviction price probes in markets with reliable volume.
16. Wavelet Filtered EP
Core Concept: Uses wavelet decomposition (a signal processing technique) to separate the underlying trend from high-frequency noise.
How It Works: It calculates a smoothed, wavelet-filtered version of the price. A new EP is only registered if the actual high/low significantly exceeds this smoothed baseline, effectively ignoring minor noise spikes.
Ideal Use Case: Noisy markets where small, insignificant wicks can cause the AF to accelerate prematurely.
17. ATR-Validated EP
Core Concept: A new EP should represent a meaningful move, not just a one-tick poke.
How It Works: It requires a new high/low to exceed the previous EP by a minimum amount, defined as a multiple of the current ATR. This ensures only volatility-significant advances are counted.
Ideal Use Case: A simple, robust way to filter out "noise" EPs and slow down the AF's acceleration in choppy conditions.
18. Statistical EP Filter
Core Concept: A new EP is only valid if the price change that created it is statistically significant.
How It Works: It calculates the Z-Score of the bar's price change relative to recent history. A new EP is only accepted if its Z-Score exceeds a certain threshold (e.g., 1.5 sigma), meaning it was an unusually strong move.
Ideal Use Case: For quantitative traders who want to ensure their trailing stop only tightens in response to statistically meaningful price action.
CATEGORY C: FLIP LOGIC & CONFIRMATION
These algorithms change the very rules of when and why the PSAR reverses.
19. Dual-PSAR Gate
Core Concept: Uses two PSARs—one fast and one slow—to confirm a reversal.
How It Works: A flip signal for the main PSAR is only considered valid if both the fast (sensitive) PSAR and the slow (structural) PSAR have flipped. This acts as a powerful trend filter.
Ideal Use Case: An excellent method for reducing whipsaws. It forces the PSAR to wait for both short-term and longer-term momentum to align before signaling a reversal.
20. MTF Coherence PSAR
Core Concept: Do not flip against the higher timeframe macro trend.
How It Works: It pulls PSAR data from two higher timeframes. A flip is only allowed if the new direction does not contradict the trend on at least one (or both) of those higher timeframes. It also boosts the AF when all timeframes are aligned.
Ideal Use Case: The ultimate tool for multi-timeframe traders who want to ensure their entries and exits are in sync with the bigger picture.
21. Momentum-Gated Flip
Core Concept: A reversal is only valid if it is supported by a significant surge of momentum.
How It Works: A price cross of the SAR is not enough. The script also requires the Rate of Change (ROC) to exceed a certain threshold for a set number of bars, confirming that there is real force behind the reversal.
Ideal Use Case: Filtering out weak, drifting reversals and only taking signals that are initiated with explosive power.
22. Close-Only PSAR
Core Concept: Wicks are noise; the bar's close is the final decision.
How It Works: This algorithm modifies the flip logic to ignore wicks. A flip only occurs if one or more bars close beyond the SAR line.
Ideal Use Case: One of the most effective and simple ways to reduce false signals from volatile wicks. A fantastic default choice for any trader.
23. Ultimate PSAR Consensus
Core Concept: The highest conviction signal comes from the agreement of multiple, diverse mathematical models.
How It Works: This is the capstone algorithm. It runs a "vote" between a selection of the top-performing algorithms (e.g., Volatility-Scaled, Efficiency Ratio, Dual-PSAR). A flip is only signaled if a majority consensus is reached. It can even weight the votes based on each algorithm's recent performance.
Ideal Use Case: For traders who want the absolute highest level of confirmation and are willing to accept fewer, but more robust, signals.
█ PART II: THE NOISE FILTERING CORE - The Shield
This is a revolutionary feature that allows you to apply a second layer of signal processing directly to the SAR line itself, surgically removing noise before the flip logic is even considered.
FILTER CATEGORIES
Basic Filters (SMA, EMA, WMA, RMA): The classic moving averages. They provide basic smoothing but introduce significant lag. Best used for educational purposes.
Low-Lag Filters (DEMA, TEMA, Hull MA, ZLEMA): A family of filters designed to reduce the lag inherent in basic moving averages. The Hull MA is a standout, offering a superb balance of smoothness and responsiveness.
Adaptive Filters (KAMA, VIDYA, FRAMA): These are "smart" filters. They automatically adjust their smoothing level based on market conditions. They will be very smooth in choppy markets and become highly responsive in trending markets.
Advanced DSP & DAFE Filters: This is the pinnacle of signal processing.
Ehlers Filters (SuperSmoother, 2-Pole, 3-Pole): Based on the work of John Ehlers, these use digital signal processing techniques to remove high-frequency noise with minimal lag.
Gaussian & ALMA: These use a bell-curve weighting, giving the most importance to recent data in a smooth, non-linear fashion.
DAFE Spectral Laguerre: A proprietary, non-linear filter that uses a feedback loop and adapts its "gamma" based on volatility, providing exceptional tracking in all market conditions.
How to Choose a Filter
Start with "None": First, find an algorithm you like with no filtering to understand its raw behavior.
Introduce Low Lag: If you are getting too many whipsaws from noise, apply a short-length Hull MA (e.g., 5-8). This is often the best solution.
Go Adaptive: If your market has very distinct trend/chop regimes, try an Adaptive KAMA .
Maximum Purity: For the smoothest possible output with excellent responsiveness, use the DAFE Spectral Laguerre or Ehlers SuperSmoother .
█ THE VISUAL EXPERIENCE: DATA AS ART
The PSAR Laboratory is not just functional; it is beautiful. The visualization engine is designed to provide you with an intuitive, at-a-glance understanding of the market's state.
Algorithm-Specific Theming: Each of the 23 algorithms comes with its own unique, professionally designed color palette. This not only provides visual variety but allows you to instantly recognize which engine is active.
Dynamic Glow Effects: For many algorithms, the PSAR dots will emit a soft "glow." The brightness and color of this glow are not random; they are tied to a key metric of the active algorithm (e.g., trend strength, volatility, consensus), providing a subtle, visual cue about the health of the trend.
Adaptive Volatility Bands: Certain algorithms will display dynamic bands around the PSAR. These are not standard deviation bands; their width is controlled by the specific logic of the active algorithm, showing you a visual representation of the market's expected range or energy level.
Secondary Reference Lines: For algorithms like the Dual-PSAR or MTF Coherence, a secondary line will be plotted on the chart, giving you a clear visual of the underlying data (e.g., the slow PSAR, the HTF trend) that is driving the decision-making process.
█ THE MASTER DASHBOARD: YOUR MISSION CONTROL
The comprehensive dashboard is your unified command center for analysis and performance tracking.
Engine Status: See the currently selected Algorithm, the active Noise Filter, the Trend direction, and a real-time progress bar of the current Acceleration Factor (AF).
Algorithm-Specific Metrics: This is the most powerful section. It displays the key real-time data from the currently active algorithm. If you're using "Shannon Entropy," you'll see the Entropy score. If you're using "ADX-Gated," you'll see the ADX value. This gives you a direct, quantitative look under the hood.
Performance Readout: When enabled, this section provides a full breakdown of your backtesting results, including Win Rate, Profit Factor, Net P&L, Max Drawdown, and your current trade status.
█ DEVELOPMENT PHILOSOPHY
The PSAR Laboratory was born from a deep respect for Wilder's original work and a relentless desire to push it into the 21st century. We believe that in modern markets, static tools are obsolete. The future of trading lies in adaptation. This indicator is for the serious trader, the tinkerer, the scientist—the individual who is not content with a black box, but who seeks to understand, test, and refine their edge with surgical precision. It is a tool for forging, not just following.
The PSAR Laboratory is designed to be the ultimate tool for that evolution, allowing you to discover and codify the rules that truly fit you.
█ DISCLAIMER AND BEST PRACTICES
THIS IS A TOOL, NOT A STRATEGY: This indicator provides a sophisticated trailing stop and reversal signal. It must be integrated into a complete trading plan that includes risk management, position sizing, and your own contextual analysis.
TEST, DON'T GUESS: The power of this tool is its adaptability. Use the Performance Dashboard to rigorously test different algorithms and settings on your chosen asset and timeframe. Find what works, and build your strategy around that data.
START SIMPLE: Begin with the "Volatility-Scaled AF" algorithm, as it is a powerful and intuitive all-rounder. Once you are comfortable, begin experimenting with other engines.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The backtesting results are hypothetical and do not account for slippage or psychological factors. Never risk more capital than you are prepared to lose.
"I don't think traders can follow rules for very long unless they reflect their own trading style. Eventually, a breaking point is reached and the trader has to quit or change, or find a new set of rules he can follow. This seems to be part of the process of evolution and growth of a trader."
— Ed Seykota, Market Wizard
Taking you to school. - Dskyz, Trade with Volume. Trade with Density. Trade with DAFE
XAUUSD: Ultimate Sniper v6.0 [Order Flow & Macro]This indicator is a comprehensive trading system designed specifically for XAUUSD (Gold). It moves away from lagging indicators by combining real-time Macro-Economic sentiment, Regression Analysis, and Institutional Order Flow logic into a single professional interface.
### Core Strategy & Features: 1. Macro Correlation Filter: Gold has a strong inverse correlation with the USD (DXY) and Treasury Yields (US10Y). This script monitors them in the background. If DXY/US10Y are Bullish, Gold Buy signals are filtered out to prevent trading against the trend. 2. Linear Regression Channel: Defines the "Fair Value" of price. We only look for reversal trades when price hits the extreme Upper or Lower bands. 3. Order Flow Pressure (New): Analyzes the internal structure of each candle (Wick vs Body). A signal is only confirmed if the "Buying Pressure" or "Selling Pressure" within the candle supports the move (e.g. >50%). 4. RSI Divergence: Automatically spots Bullish and Bearish divergences to identify momentum exhaustion.
### ⚙️ Recommended Settings / Best Practices To get the best results, adjust the settings based on your trading style:
🏎️ SCALPING (1min - 5min Charts) * Goal: Quick entries, smaller targets, higher frequency. * DXY/US10Y Timeframe: Set to "15" or "30" (Reacts faster to macro changes). * Regression Length: 50 or 80 (Adapts to short-term trends). * RSI Length: 9 or 14.
🛡️ INTRADAY (15min - 1h Charts) - * Goal: Balanced trading, capturing the daily range. * DXY/US10Y Timeframe: Set to "60" (1 Hour). * Regression Length: 100 (Standard setting). * RSI Length: 14.
🦅 SWING TRADING (4h - Daily Charts) * Goal: Catching major trend reversals. * DXY/US10Y Timeframe: Set to "240" (4 Hours) or "D" (Daily). * Regression Length: 200 (Long-term trend baseline). * Channel Width: Increase to 2.5 or 3.0.
### How to Trade: - BUY Signal: Valid when the Dashboard shows "BEARISH" DXY/US10Y and the Live Pressure is "BUYERS". - SELL Signal: Valid when the Dashboard shows "BULLISH" DXY/US10Y and the Live Pressure is "SELLERS". - Risk Management: The script automatically calculates ATR-based Stop Loss (SL) and Take Profit (TP) levels.
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow (KAE)
KAE Flow is a quantitative composite indicator designed to identify dominant market trends by fusing three distinct dimensions of price action: Volatility, Trend Age, and Volume Pressure.
Unlike standard indicators that rely on a single data point (like a moving average crossover), KAE Flow aggregates three independent logic engines into a single normalized "Flow" score. This score is then smoothed using an Arnaud Legoux Moving Average (ALMA) to filter out noise while retaining responsiveness to genuine trend reversals.
This script operates strictly on the current chart timeframe, ensuring all signals are causal, non-repainting, and reliable for real-time analysis.
1. The Quantitative Engine (How it Works)
The indicator polls three separate components. Each component votes "1" (Bullish), "-1" (Bearish), or "0" (Neutral). These votes are averaged to create the raw signal.
K — Keltner Channels (Volatility Dimension)
Concept: Measures volatility expansion.
Logic: The script calculates Keltner Channels using an EMA center line and ATR bands.
Bullish (+1): Price closes above the Upper Channel.
Bearish (-1): Price closes below the Lower Channel.
This component ensures we only trade when price is breaking out of its expected volatility range.
A — Aroon (Trend Age Dimension)
Concept: Measures the strength and "freshness" of a trend.
Logic: We utilize the Aroon Up and Aroon Down metrics.
Bullish (+1): Aroon Up is greater than Aroon Down AND Aroon Up is > 70.
Bearish (-1): Aroon Down is greater than Aroon Up AND Aroon Down > 70.
This filters out weak or aging trends, ensuring the move has mathematical momentum.
E — Elder’s Force Index (Volume Dimension)
Concept: Measures volume-weighted price change.
Logic: We calculate the raw Force Index (Close - Close ) * Volume and smooth it with an EMA.
Bullish (+1): Smoothed EFI > 0.
Bearish (-1): Smoothed EFI < 0.
This component confirms that price movement is supported by actual volume flow (accumulation/distribution).
2. Signal Processing (ALMA Smoothing)
Raw aggregation can be noisy. The composite score is passed through an ALMA (Arnaud Legoux Moving Average) filter.
Why ALMA? It uses a Gaussian distribution to provide smoothness without the significant lag associated with SMA or EMA. This creates the "Flow" line that resists false flips during choppy consolidation.
3. How to Use
The indicator plots a signal line and dynamically colors the price bars and background to reflect the dominant bias.
Deep Blue (Bullish Flow): The KAE Score is > 0.1. All three engines (or the majority) are aligned bullishly. Traders typically look for long entries or hold existing long positions.
White (Bearish Flow): The KAE Score is < -0.1. The majority of engines detect bearish volatility and volume. Traders typically look for short entries.
Gray (Neutral): The score is between -0.1 and 0.1. The market is in equilibrium or transition. Trend-following strategies should be paused.
4. Configuration
Logic Engine: You can toggle individual components (K, A, or E) on or off to isolate specific market dimensions.
Smoothing: Adjust the ALMA Window and Offset to fine-tune the sensitivity of the signal line.
Lengths: Fully customizable periods for Keltner, Aroon, and EFI to adapt to different asset classes (e.g., Crypto vs. Forex).
IG ATR Risk PlannerOverview
The IG ATR Risk Planner is a professional risk management indicator that calculates position size, stop-loss, and take-profit levels using the Average True Range (ATR). It adapts to market volatility, helping traders maintain consistent discipline across different instruments and timeframes.
Key Features
Position Size Calculation: Automatically determines optimal position size based on account balance, risk percentage, and ATR stop distance.
Volatility-Based Stop-Loss: Calculates stop levels using ATR multipliers, ensuring stops are adjusted to market conditions.
Take-Profit Targets: Provides three customizable ATR-based profit targets (TP1, TP2, TP3).
Risk Parameters Table: Displays account size, risk %, multiplier, entry, stop, and targets in a clear on‑chart table.
Chart Labels: Entry, stop, and TP levels are visually marked for instant recognition.
Alerts: Integrated alerts for entry, stop, and profit targets.
Alerts Included (concise list)
Entry Long / Entry Short
Stop Long / Stop Short
TP1 Long / TP1 Short
TP2 Long / TP2 Short
TP3 Long / TP3 Short
Why Use This Indicator?
Risk management is the foundation of consistent trading. The IG ATR Risk Planner ensures every trade is backed by clear calculations, structured targets, and actionable alerts. Whether trading forex, stocks, or crypto, this tool helps you stay disciplined and professional.
RegimeWorks AUDUSD 4H Regime and Sessions FREEWhat this tool does
RegimeWorks applies a higher-timeframe regime filter (4H) combined with session awareness to classify market conditions as either permitted or blocked.
It shows:
• HTF regime validity (trend + volatility context)
• Directional bias (LONG / SHORT / NONE)
• Volatility state (expanding vs flat)
• Tokyo / London / New York session status
• A clear final outcome: PERMITTED or WAITING
No trade entries.
No exits.
No alerts.
Just decision-level context.
What this tool does not do
This is not a signal indicator.
It intentionally does not include:
• entry logic
• stop loss or take profit rules
• risk sizing
• automation
• strategy backtests
Execution belongs in a separate layer.
Why it exists
Most losses don’t come from bad entries —
they come from trading when no edge exists.
RegimeWorks is built around the idea that permission comes before execution.
If the regime is invalid, the correct trade is often no trade.
How to use it
Use this indicator as a gate, not a trigger.
• If the outcome is WAITING, stay flat
• If the outcome is PERMITTED, then look to your own execution rules
• Combine with your own risk management and strategy
This tool does not replace a trading system —
it protects one.
Part of a larger framework
This AUDUSD release is part of the RegimeWorks multi-market framework, which applies the same regime logic consistently across instruments.
Also available:
• USDJPY
• XAUUSD
Same philosophy. Same structure. Different markets.
RegimeWorks
Rule-based. Regime-gated. Capital-first.
devendra Verma 3 SMA3 SMA RSI based can work to know the volatility and movement in the trend
can try to see the crosses of each other to generate buy and sell signals
AI Adaptive Trend Navigator Echo EditionAI Adaptive Trend Navigator
This is an advanced trend-following system optimized for high-volatility index futures (TX). Built upon the LuxAlgo clustering framework, this version introduces several critical enhancements to meet professional trading standards:
1. State Consistency Iteration Enhanced the underlying logic for dynamic arrays and User-Defined Types (UDTs) to ensure stable "State Persistence." This fix eliminates logic gaps during real-time price fluctuations, ensuring that historical backtests perfectly align with live execution.
2. Adaptive Factor Tuning (K-means) The system simulates dozens of parameter paths in real-time, using K-means clustering to automatically select the optimal factor suited for the current market volatility.
3. Advanced Practical Filters
Dynamic Buffer Strategy: Filters out market noise during consolidation and early session volatility.
Confidence Threshold: Only triggers signals when the AI performance score meets the required quality.
Cooldown Logic: Prevents rapid signal flipping in choppy markets.
🧠 開發理念：將 AI 自適應力帶入台指期實戰 針對台指期（TX）高波動特性開發，透過機器學習演算法動態尋優，解決傳統指標參數固定的滯後性。
✨ Echo 版核心優化點
數據連續性迭代：底層邏輯優化，確保訊號在即時盤勢中穩定不跳斷，回測與實戰高度吻合。
自適應動態尋優：透過 K-means 聚類自動鎖定當前最佳 ATR 因子。
實戰多重濾網：包含空間緩衝區 (Buffer) 與信心門檻，大幅提升訊號品質。
📊 視覺說明
🚀 Rocket: AI confirms trend momentum.
⚡ Lightning: Trend exhaustion or reversal warning.
⚠️ Disclaimer: For educational and technical analysis purposes only.
Paavvrri Bulls vs Bears + MACD Ultimate [FINAL]To publish the Paavvrri Bulls vs Bears + MACD Ultimate, you need a description that highlights the combination of sentiment analysis and momentum tracking.
Here is a professional, concise description for your TradingView publication:
Paavvrri Bulls vs Bears + MACD Ultimate
The Paavvrri Bulls vs Bears + MACD Ultimate is a high-performance oscillator suite designed to reveal the hidden battle between buyers and sellers. By combining a multi-layered AI sentiment engine with a precision-tuned "Ultimate MACD," this tool provides a dual-perspective view of market momentum and conviction.
### 1. Bulls vs Bears AI Engine
Unlike standard oscillators, the BvB AI calculates a Cumulative Sentiment Score by stacking seven distinct layers of market data:
RSI & Momentum: Measures speed and over-extension.
Trend & PA Layers: Analyzes EMA spreads and Price Action candle efficiency.
Volume & Volatility: Confirms move conviction and ATR-based expansion.
S/R Positioning: Tracks where price sits relative to its recent range.
The Result: A stacked histogram that visually shows which side is winning the tug-of-war.
### 2. Ultimate MACD Component
Switch to the "Ultimate MACD" mode for a professional-grade momentum workspace:
MTF Support: View MACD signals from higher timeframes on your current chart.
4-Color Histogram: Advanced color coding to distinguish between accelerating and decelerating momentum.
Smart Cross Dots: High-visibility signals for Bullish/Bearish crossovers.
Dynamic Lines: Color-shifting MACD and Signal lines for instant trend bias identification.
### Key Features
Switchable Interface: Toggle between "BvB AI" and "Ultimate MACD" using the Master Input to keep your workspace clean.
AI Info Table: A real-time dashboard displaying raw Bull/Bear scores and an overall market Sentiment label.
Zero-Repaint Logic: Optimized for Pine Script v6 with high-fidelity calculations.
### How to Trade
Sentiment Confluence: Look for the Total Bulls (Green) or Total Bears (Red) columns to exceed the Zero Line while the MACD confirms the direction.
Layer Breakouts: When all seven layers of the BvB AI expand simultaneously, it indicates a high-probability "Power Move."
MACD Precision: Use the Cross Dots at the Zero Line for high-conviction entries during trending markets.
### Release Notes (Final Version)
Modern Timeframe Logic: Replaced obsolete inputs with the Pine v6 timeframe standard.
Performance Tuning: Faster calculation for multi-layer stacking.
Enhanced Visuals: Improved column transparency for better readability.
