PHEN ATLAS - Market Map & Playbook [PhenLabs]📊 PHEN ATLAS 🎂 #50 🎂
Version: PineScript™ v6
📌 Description
The PHEN ATLAS marks a historic milestone as the 50th official release from PhenLabs . This is a critical release you do not want to miss, serving as a comprehensive Market Map and Playbook designed to provide traders with a complete structural overview of price action. By synthesizing Market Structure, Liquidity concepts, and Regime detection, this script solves the problem of "analysis paralysis" by grading price action in real-time. It moves beyond simple indicators by offering a quantified "Playbook" that scores trade setups from 0 to 100, helping traders focus exclusively on high-probability opportunities while automating the complex math of position sizing and risk management.
🚀 Points of Innovation
Proprietary Scoring Engine: Unlike standard indicators, this script assigns a quantitative score (0-100) to every potential trade based on confluence factors like HTF alignment and displacement.
Dynamic Regime Detection: Features an integrated dashboard that classifies the market into specific phases (Expansion, Trend, Range) using ADX and EMA alignment logic.
Smart Liquidity Pools: Automatically identifies and visualizes resting liquidity, tracking when these pools are "swept" to generate high-probability reversal signals.
Integrated Trade Manager: Automates the calculation of Stop Loss, Take Profit (1:2 and 1:3), and Position Size based on account balance and risk percentage directly on the chart.
Multi-Mode Interface: Offers three distinct visual modes—Clean, Pro, and Sniper—allowing users to toggle between deep analysis and clutter-free execution instantly.
🔧 Core Components
Structure Module: Identifies Pivots, Break of Structure (BOS), and Change of Character (CHoCH) to define the current market bias.
Liquidity Engine: Plots liquidity pools at key swing points and detects "Sweeps" where price grabs liquidity before reversing.
Regime Filter: Uses a combination of EMAs (21/50) and ADX to determine if the market is trending or ranging, filtering out low-quality signals.
Setup Validator: Monitors for three specific setup types (Sweep, Snapback, FVG Retest) and triggers alerts only when specific scoring thresholds are met.
🔥 Key Features
Automated detection of High Timeframe (HTF) structure without repainting issues.
Real-time grading of price displacement to validate institutional intent.
Visual Risk/Reward boxes that automatically adjust to the volatility (ATR) of the asset.
Fair Value Gap (FVG) detection with auto-mitigation tracking to clean up the chart.
Customizable alerts for A+ setups, regime changes, and trade invalidations.
Detailed dashboard displaying current Trend, Phase, Bias, and the score of the last setup.
🎨 Visualization
Structure Points: Triangles for BOS and Diamonds for CHoCH events clearly mark trend shifts.
Liquidity Lines: Dotted lines extending from pivots indicate un-swept liquidity pools; these dim automatically when swept.
Setup Signals: Prominent "A+" labels appear on the chart when a setup meets the minimum score threshold defined by the user.
Risk Boxes: Color-coded boxes (Green for Long, Red for Short) show Entry, Stop Loss, and Take Profit levels visually.
Dashboard: A compact table in the bottom right corner provides a "Heads Up Display" of the market state.
📖 Usage Guidelines
Display Mode: Select between 'Clean' for signals only, 'Pro' for full analysis including FVGs and Structure, or 'Sniper' for only high-score setups.
HTF Timeframe: Sets the higher timeframe for structural analysis (Default: 240/4-Hour) to ensure you trade with the dominant trend.
Min Score for A+ Setup: Threshold (0-100) required to trigger a signal (Default: 83); increase this to filter for only the absolute best trades.
Risk %: Defines the percentage of your account you are willing to risk per trade (Default: 1.0%), used for the position size calculation.
Account Balance: Input your current capital (Default: 10,000) to receive accurate unit sizing for every trade setup.
ADX Threshold: Adjusts the sensitivity of the Regime detection filter (Default: 20) to determine when the market is trending versus ranging.
✅ Best Use Cases
Confluence Trading: Use the scoring system to filter discretionary entries, taking trades only when the system scores them above 80.
Prop Firm Trading: Utilize the built-in position size calculator to strictly adhere to risk management rules during evaluations.
Trend Following: Wait for the Regime Dashboard to show "Bullish Expansion" before taking Long "Snapback" entries.
Reversal Trading: Focus on "Sweep Reclaim" setups where price sweeps a liquidity pool and immediately closes back within range.
⚠️ Limitations
This tool is a trend-following and reversal system; it may produce lower scores during undefined, low-volatility chop.
The position size calculator is an estimation based on the entry candle; actual execution slippage is not accounted for.
HTF data relies on closed candles to prevent repainting, which may result in a slight lag during rapid volatility spikes.
💡 What Makes This Unique
Playbook Scoring: Most indicators just give a signal; PHEN ATLAS gives you a "Grade" (e.g., 85/100), allowing you to make informed decisions based on quality, not just frequency.
Context Awareness: The script understands "Market Regime" and creates a context-aware bias, rather than blindly firing signals in a range.
🔬 How It Works
Step 1 - Regime Definition: The script analyzes the 21/50 EMA relationship and ADX to define if the market is in a Trend or Range.
Step 2 - Structure & Liquidity: It maps key pivots and liquidity pools, waiting for a "Sweep" event or a structural break.
Step 3 - Setup Trigger: When a specific pattern occurs (like a Sweep Reclaim), the engine calculates a score based on displacement, volume, and key level alignment.
Step 4 - Execution Logic: If the score > Threshold, the Trade Manager calculates the invalidation point (SL) and projects 2R/3R targets automatically.
🎉 Message From The Team 🎉
2025 was an amazing year. 12 months of building, shipping, and improving together with you. Hitting our 50th indicator release marks one full year of weekly drops , and we couldn't have done it without this community, and of course, BIG thank you to TradingView and it's team.
Thank you for all the feedback, charts, and support. Let's make 2026 even bigger. We can't wait to show you what we've been working on. 🚀
💡 Note
For best results, we recommend using the "Pro" mode during analysis to understand the narrative, and switching to "Sniper" or "Clean" during execution to maintain focus. Always ensure your "Account Balance" input matches your broker balance for accurate risk calculations.
指標和策略
Apex Adaptive Trend Navigator [Pineify]Apex Adaptive Trend Navigator
The Apex Adaptive Trend Navigator is a comprehensive trend-following indicator that combines adaptive moving average technology, dynamic volatility bands, and market structure analysis into a single, cohesive trading tool. Designed for traders who want to identify trend direction with precision while filtering out market noise, this indicator adapts its sensitivity based on real-time market efficiency calculations.
Key Features
Adaptive Moving Average with efficiency-based smoothing factor
Dynamic ATR-based volatility bands that expand and contract with market conditions
Market Structure detection including BOS (Break of Structure) and CHoCH (Change of Character)
Real-time performance dashboard displaying trend status and efficiency metrics
Color-coded cloud visualization for intuitive trend identification
How It Works
The core of this indicator is built on an Adaptive Moving Average that uses a unique efficiency-based calculation method inspired by the Kaufman Adaptive Moving Average (KAMA) and TRAMA concepts. The efficiency ratio measures the directional movement of price relative to total price movement over the lookback period:
Efficiency = |Price Change over N periods| / Sum of |Individual Bar Changes|
This ratio ranges from 0 to 1, where values closer to 1 indicate a strong trending market with minimal noise, and values closer to 0 indicate choppy, sideways conditions. The smoothing factor is then squared to penalize noisy markets more aggressively, causing the adaptive line to flatten during consolidation and respond quickly during strong trends.
The Dynamic Volatility Bands are calculated using the Average True Range (ATR) multiplied by a user-defined factor. These bands create a channel around the adaptive moving average, helping traders visualize the current volatility regime and potential support/resistance zones.
Trading Ideas and Insights
When price stays above the adaptive line with the bullish cloud forming, consider this a confirmation of uptrend strength
The efficiency percentage in the dashboard indicates trend quality - higher values suggest more reliable trends
Watch for price interactions with the upper and lower bands as potential reversal or continuation zones
A flat adaptive line indicates consolidation - wait for a clear directional break before entering trades
How Multiple Indicators Work Together
This indicator integrates three complementary analytical approaches:
The Adaptive Moving Average serves as the trend backbone, providing a dynamic centerline that automatically adjusts to market conditions. Unlike fixed-period moving averages, it reduces lag during trends while minimizing whipsaws during ranging markets.
The ATR Volatility Bands work in conjunction with the adaptive MA to create a volatility envelope. When the adaptive line is trending and price remains within the cloud (between the MA and outer band), this confirms trend strength. Price breaking through the opposite band may signal exhaustion or reversal.
The Market Structure Analysis using swing point detection adds a Smart Money Concepts (SMC) layer. BOS signals indicate trend continuation when price breaks previous swing highs in uptrends or swing lows in downtrends. CHoCH signals warn of potential reversals when the structure shifts against the prevailing trend.
Unique Aspects
The squared efficiency factor creates a non-linear response that dramatically reduces noise sensitivity
Cloud fills only appear on the trend side, providing clear visual distinction between bullish and bearish regimes
The integrated dashboard eliminates the need to switch between multiple indicators for trend assessment
Pivot-based swing detection ensures accurate market structure identification
How to Use
Add the indicator to your chart and adjust the Lookback Period based on your trading timeframe (shorter for scalping, longer for swing trading)
Monitor the cloud color - green clouds indicate bullish conditions, red clouds indicate bearish conditions
Use the efficiency reading in the dashboard to gauge trend reliability before entering positions
Consider entries when price pulls back to the adaptive line during strong trends (high efficiency)
Use the volatility bands as dynamic take-profit or stop-loss reference levels
Customization
Lookback Period : Controls the sensitivity of trend detection and swing point identification (default: 20)
Volatility Multiplier : Adjusts the width of the ATR bands (default: 2.0)
Show Market Structure : Toggle visibility of BOS and CHoCH labels
Show Performance Dashboard : Toggle the trend status table
Color Settings : Customize bullish, bearish, and neutral colors to match your chart theme
Conclusion
The Apex Adaptive Trend Navigator offers traders a sophisticated yet intuitive approach to trend analysis. By combining adaptive smoothing technology with volatility measurement and market structure concepts, it provides multiple layers of confirmation for trading decisions. Whether you are a day trader seeking quick trend identification or a swing trader looking for reliable trend-following signals, this indicator adapts to your market conditions and trading style. The efficiency-based calculations ensure you always know not just the trend direction, but also the quality and reliability of that trend.
Nixxo Custom IchimokuCustom Ichimoku settings for stock market or the crypto universe! Also has the capability to 2x the settings from the indicator settings (preset) so that settings don't have to be changed all the time.
ALPHA FUSION FIX - RSI Extreme Strategy [Webhook Ready]Overview: This indicator is a simplified, high-precision tool focused on RSI Overbought and Oversold extremes (95/5). It was designed for traders who seek exhaustion points in the market with surgical precision.
Key Features:
Pure RSI Logic: Signals are triggered strictly at RSI 95 (Short) and RSI 5 (Long), avoiding market noise.
Automation Ready: Includes a dynamic JSON Webhook integration for automated trading on exchanges like Binance.
Risk Management: Built-in inputs for Margin, Leverage, and Max Positions directly in the UI.
Visual Aids: Includes a Trio of EMAs (28, 80, 200) for trend context.
How to use:
Attach to any chart (Optimized for 15m/1h timeframes).
Configure your Webhook Secret and risk parameters.
Set an alert using "Any alert() function call".
US Election Cycle Strategy [Druckenmiller]US Election Cycle Strategy
This indicator allows you to visually backtest and monitor the "US Presidential Election Cycle" theory, famously advocated by legendary investors like Stanley Druckenmiller. The core premise of this strategy is that the stock market tends to demonstrate strong performance in the two years leading up to a US Presidential Election, largely driven by fiscal stimulus, increased government spending, and economic maneuvering aimed at securing re-election.
How it works:
The script algorithmically calculates the exact date of US Presidential Elections (defined as the Tuesday next after the first Monday in November) for every cycle from 1900 to 2040. It creates a theoretical "Buy" signal exactly two years prior to the election and a "Sell" signal on Election Day itself.
Key Features of this Version:
Dynamic Date Calculation: Unlike scripts with hard-coded dates, this version uses a mathematical algorithm to determine the precise election date for any given year, ensuring historical accuracy and future-proofing.
Maximized History: The script automatically utilizes all available historical data provided by your chart. It does not arbitrarily cut off data (e.g., at 1970) unless you specifically choose a different start year in the settings.
Performance Statistics: An integrated dashboard displays key metrics based on the available history, including Average Return, Median Return, and the overall Win Rate of the strategy.
Visual Feedback: The "Entry" point is marked with a dashed line, which automatically colors itself Green (Profit) or Red (Loss) once the cycle is completed, giving you an immediate visual heatmap of historical performance.
Settings:
You can customize the "Start Calculation From Year" to filter the statistics for specific eras (e.g., set it to 2000 to see only modern market behavior). The visual appearance of lines and the statistics table are fully customizable.
Note:
This "strategy" is best applied to major US Indices (such as the S&P 500 or Dow Jones Industrial Average) on a Daily or Weekly timeframe.
MACD Matrix: Angle & SettlementThis indicator is a comprehensive Multi-Timeframe (MTF) Dashboard designed for technical traders who rely on MACD not just for crossovers, but for Momentum Angle and Settlement (Hooks).
Instead of cluttering your screen with 5 different MACD charts, this Matrix calculates the math in the background and presents a clean "Heads-Up Display" of the MACD state across your specific timeframes (Default: 3m, 15m, 1h, 4h, 16h).
The Concept: "Angle Settlement"
Standard MACD indicators only show you when a cross happens. By then, the move is often halfway over. This script focuses on the Angle (Slope) of the MACD line to predict turns before they happen:
Steep Angle: Momentum is accelerating. (Strong Trend)
Settling Angle: The slope is flattening out. The MACD line is "hooking." (Reversal/Cross Imminent)
Dashboard Columns Explained
TF (Timeframe): Auto-formats your settings into readable text (e.g., "240" becomes "4h").
Zone:
> 0 (Green): MACD is above the Zero Line (Bullish Trend context).
< 0 (Red): MACD is below the Zero Line (Bearish Trend context).
Cross:
PCO (Green): Positive Crossover (MACD > Signal).
NCO (Red): Negative Crossover (MACD < Signal).
Deg (°):
The calculated mathematical angle of the MACD line.
Positive (+): Momentum is rising.
Negative (-): Momentum is falling.
State (The Strategy):
STEEP (Bright Color): The angle is increasing. Do not trade against this momentum.
SETTLE (Dim Color): The angle is decreasing compared to the previous bar. The momentum is "cooling off," often signaling a "Hook" or an upcoming crossover.
Settings & Customization
Custom Timeframes: You can freely change TF-1, TF-2, etc., in the settings. The table labels will auto-update (e.g., if you change 4h to 1D, the table will display "1D").
MACD Lengths: Fully customizable (Default 12, 26, 9).
Angle Sensitivity: A multiplier to calibrate the "Degrees" to your specific asset class (Crypto, Forex, or Indices). If angles look too small, increase this value.
IFM 2.0only for pips college
IFM (Inner Force Model) is a price-action based trading model that focuses on who controls the market internally—buyers or sellers—before the big move happens.
It’s not an indicator.
It’s a market behavior framework used to read institutional intent.
🔍 What IFM Really Means
IFM studies the internal strength (force) inside price by analyzing:
Liquidity grabs
Market structure shifts
Displacement (strong candles)
Premium / Discount positioning
The goal is simple:
👉 Enter where smart money has already committed
Red Bull Wings [JOAT]RED BULL WINGS - Bullish-Only Institutional Overlay
Introduction and Purpose
RED BULL WINGS is an open-source overlay indicator that combines five distinct bullish detection methods into a single composite scoring system. The core problem this indicator solves is that individual bullish signals (patterns, volume, zones, trendlines) often disagree or fire in isolation. A bullish engulfing pattern means little if volume is weak and price is far from support. Traders need confluence across multiple dimensions to identify high-probability setups.
This indicator addresses that by scoring each bullish component separately, then combining them into a weighted WINGS score (0-100) that reflects overall bullish conviction. When multiple components align, the score rises; when they disagree, the score stays low.
Why These Five Modules Work Together
Each module measures a different aspect of bullish market structure:
1. Module A - Bullish Candlestick Engine - Detects classic reversal patterns (engulfing, marubozu, hammer, 3-bar cluster). These patterns identify WHERE buyers are stepping in.
2. Module B - PVSRA Volume Climax - Measures spread x volume to detect institutional participation. This tells you WHETHER smart money is involved.
3. Module C - Demand Zone Detection - Identifies and tracks order block zones where buyers previously overwhelmed sellers. This shows you WHERE institutional support exists.
4. Module D - Trendline Channel - Builds dynamic support/resistance from pivot points. This reveals the STRUCTURE of the current trend.
5. Module E - Ichimoku Assist - Optional filter using Tenkan/Kijun cross, cloud position, and Chikou confirmation. This provides TREND PERMISSION context.
The combination works because:
Patterns alone can fail without volume confirmation
Volume alone means nothing without price structure context
Zones alone are static without pattern/volume triggers
Trendlines alone miss the micro-level entry timing
When 3+ modules agree, the probability of a valid bullish setup increases significantly
How the Calculations Work
Module A - Pattern Detection:
Bullish Engulfing - Current bullish bar completely engulfs prior bearish bar:
bool engulfingCond = isBullish() and
isBearish() and
open <= close and
close >= open and
bodySize() > bodySize()
Marubozu - Strong body with minimal wicks (body >= 1.8x average, wick ratio < 20%):
float wickRatio = candleRange() > 0 ? (upperWick() + lowerWick()) / candleRange() : 0
bool marubozuCond = isBullish() and
bodySize() >= bodySizeAvg * i_maruMult and
wickRatio < i_wickRatioMax
Hammer - Long lower wick (>= 2.5x body), close in upper third, volume confirmation:
bool hammerWick = lowerWick() >= i_hammerWickMult * bodySize()
bool hammerClose = close >= low + (candleRange() * 0.66)
bool hammerVol = volume >= i_pvsraRisingMult * volAvg
3-Bar Cluster - Three consecutive bullish closes with increasing prices and volume spike:
bool threeBarBullish = isBullish() and isBullish() and isBullish()
bool increasingCloses = close > close and close > close
bool volSpike3Bar = volume >= i_pvsraRisingMult * volAvg or
volume >= i_pvsraRisingMult * volAvg
Module B - PVSRA Volume Analysis:
Uses spread x volume to detect climax conditions:
float spreadVol = candleRange() * volume
float maxSpreadVol = ta.highest(spreadVol, ADJ_PVSRA_LOOKBACK)
bool volClimax = volume >= i_pvsraClimaxMult * volAvg or spreadVol >= maxSpreadVol
bool volRising = volume >= i_pvsraRisingMult * volAvg and volume < i_pvsraClimaxMult * volAvg
Volume only scores when the candle is bullish, preventing false signals on bearish volume spikes.
Module C - Demand Zone Detection:
Identifies zones using a two-candle structure:
// Small bearish candle A followed by larger bullish candle B
bool candleA_bearish = isBearish()
bool candleB_bullish = isBullish()
bool newZoneCond = candleA_bearish and candleB_bullish and
candleB_size >= i_zoneSizeMult * candleA_size
Zones are drawn as rectangles and tracked for retests. Score increases when price is near or inside an active zone, with bonus points for rejection candles.
Module D - Trendline Channel:
Builds dynamic channel from confirmed pivot points:
float ph = ta.pivothigh(high, i_pivotLeft, i_pivotRight)
float pl = ta.pivotlow(low, i_pivotLeft, i_pivotRight)
Pivots are stored and connected to form upper/lower channel lines. The indicator detects breakouts when price closes beyond the channel with volume confirmation.
Module E - Ichimoku Assist:
Standard Ichimoku calculations with bullish scoring:
float tenkan = (ta.highest(high, i_tenkanLen) + ta.lowest(low, i_tenkanLen)) / 2
float kijun = (ta.highest(high, i_kijunLen) + ta.lowest(low, i_kijunLen)) / 2
bool tkCross = ta.crossover(tenkan, kijun)
bool priceAboveCloud = close > cloudTop
bool chikouAbovePrice = chikou > close
Module F - WINGS Composite Score:
All module scores are combined using adjustable weights:
float WINGS_score = 100 * (nW_pattern * S_pattern +
nW_volume * S_vol +
nW_zone * S_zone +
nW_trend * S_trend +
nW_ichi * S_ichi)
Default weights: Pattern 30%, Volume 25%, Zone 20%, Trend 15%, Ichimoku 10%.
Signal Thresholds
WATCH (30-49) - Interesting bullish context forming, not yet actionable
MOMENTUM (50-74) - Strong bullish conditions, multiple modules agreeing
LIFT-OFF (75+) - High-confidence bullish confluence across most modules
WINGS Badge (Dashboard)
The right-side panel displays:
WINGS Score - Current composite score (0-100)
Pattern - Active pattern name and strength, or neutral placeholder
Volume - Normal / Rising / CLIMAX status
Zone - ACTIVE if price is near a demand zone
Trend - Channel position or BREAK status
Ichimoku - OFF / Weak / Bullish / STRONG
Status - Overall signal level (Neutral / WATCH / MOMENTUM / LIFT-OFF)
Input Parameters
Module Toggles:
Enable Bullish Patterns (true) - Toggle pattern detection
Enable PVSRA Volume (true) - Toggle volume analysis
Enable Order Blocks (true) - Toggle demand zone detection
Enable Trendlines (true) - Toggle pivot channel
Enable Ichimoku Assist (false) - Toggle Ichimoku filter (off by default for performance)
Enable Visual Effects (false) - Toggle labels, trails, and visual elements
LIVE MODE (false) - Enable intrabar signals (WARNING: signals may repaint)
Pattern Engine:
Pattern Lookback (5) - Bars for body size averaging
Marubozu Body Multiplier (1.8) - Minimum body size vs average
Hammer Wick Multiplier (2.5) - Minimum lower wick vs body
Max Wick Ratio (0.2) - Maximum wick percentage for marubozu
Volume / PVSRA:
PVSRA Lookback (10) - Period for volume averaging
Climax Multiplier (2.0) - Volume threshold for climax detection
Rising Volume Multiplier (1.5) - Volume threshold for rising detection
Order Blocks:
Zone Size Multiplier (2.0) - Minimum bullish candle size vs bearish
Zone Extend Bars (200) - How far zones project forward
Max Zones (12) - Maximum active zones displayed
Remove Zone on Close Below (true) - Delete broken zones
Trendlines:
Pivot Left/Right Bars (3/3) - Pivot detection sensitivity
Min Slope % (0.25) - Minimum trendline angle
Max Trendlines (5) - Maximum pivot points stored
Trendline Projection Bars (60) - Forward projection distance
Ichimoku:
Tenkan Length (9) - Conversion line period
Kijun Length (26) - Base line period
Senkou B Length (52) - Leading span B period
Displacement (26) - Cloud displacement
WINGS Score:
Weight: Pattern (0.30) - Pattern contribution to score
Weight: Volume (0.25) - Volume contribution to score
Weight: Zone (0.20) - Zone contribution to score
Weight: Trend (0.15) - Trendline contribution to score
Weight: Ichimoku (0.10) - Ichimoku contribution to score
Lift-Off Threshold (75) - Score required for LIFT-OFF signal
Momentum Watch Threshold (50) - Score required for MOMENTUM signal
Visuals:
Signal Cooldown (8) - Minimum bars between labels
Show WINGS Score Badge (true) - Toggle dashboard
Show Wing Combos (true) - Show DOUBLE/MEGA WINGS streaks
Red Background Wash (true) - Tint chart background
Show Lift-Off Trails (false) - Toggle golden trail visuals
How to Use This Indicator
For Bullish Entry Identification:
1. Monitor the WINGS badge for score changes
2. Wait for MOMENTUM (50+) or LIFT-OFF (75+) signals
3. Check which modules are contributing (Pattern + Volume + Zone = stronger)
4. Use demand zones and trendlines as structural reference for entries
For Confluence Confirmation:
1. Use alongside your existing analysis
2. LIFT-OFF signals indicate multiple bullish factors aligning
3. Low scores (< 30) suggest weak bullish context even if one factor looks good
For Zone-Based Trading:
1. Watch for price approaching active demand zones
2. Look for pattern + volume confirmation at zone retests
3. Zone score increases with successful retests
For Trendline Analysis:
1. Monitor the pivot-based channel for trend structure
2. Breakouts with volume confirmation trigger TREND BREAK alerts
3. Price inside channel with bullish patterns = trend continuation setup
1M and lower timeframes:
Alerts Available
LIFT-OFF - High-confidence bullish confluence
MOMENTUM - Strong bullish conditions
Zone Retest - Bullish rejection from demand zone
Trendline Break - Breakout with volume confirmation
Individual patterns (Engulfing, Marubozu, Hammer, 3-Bar Cluster)
Volume Climax - Institutional volume spike
DOUBLE WINGS / MEGA WINGS - Consecutive lift-off signals
Repainting Behavior
By default, the indicator uses confirmed bars only (barstate.isconfirmed), meaning signals appear after the bar closes and do not repaint. However:
LIVE MODE - When enabled, signals can appear intrabar but may disappear if conditions change before bar close. A warning label displays when LIVE MODE is active.
Trendlines - Pivot detection requires lookback bars, so the most recent trendline segments may adjust as new pivots confirm. This is inherent to pivot-based analysis.
Demand Zones - Zones are created on confirmed bars and do not repaint, but they can be removed if price closes below the zone bottom (configurable).
Live Mode with 'Enable Visual Effect' turned off in settings:
Limitations
This is a bullish-only indicator. It does not detect bearish setups or provide short signals.
The WINGS score is a confluence measure, not a prediction. High scores indicate favorable conditions, not guaranteed outcomes.
Pattern detection uses simplified logic. Not all candlestick nuances are captured.
Volume analysis requires reliable volume data. Results may vary on instruments with inconsistent volume reporting.
Ichimoku calculations add processing overhead. Disable if not needed.
Demand zones are based on a specific two-candle structure. Other valid zones may not be detected.
Trendlines use linear regression between pivots. Curved or complex channels are not supported.
Timeframe Recommendations
15m-1H: More frequent signals, useful for intraday analysis. Higher noise.
4H-Daily: Best balance of signal quality and frequency for swing trading.
Weekly: Fewer but more significant signals for position trading.
Adjust lookback periods and thresholds based on your timeframe. Shorter timeframes may benefit from shorter lookbacks.
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each module works.
This indicator does not constitute financial advice. The WINGS score and signals do not guarantee profitable trades. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. Test thoroughly on your preferred instruments and timeframes before using in live trading.
- Made with passion by officialjackofalltrades
Sessions and Killzones [Tradeuminati]Tradeuminati – Sessions & Killzones is a New York local time based session toolkit designed for traders who want clean, objective session structure on their chart: session boundaries, killzones, session highs/lows, and previous day levels plus a live “liquidity taken” checklist.
Key Features
1) Sessions (New York Time)
London Session (0:00 – 6:00 NY)
- Vertical start/end lines
- Live session High and Low tracking during the session
- High/Low levels extend until 16:00 NY
- Labels: Ls - H and Ls - L
- Option to display only the current day
Asia Session (Previous Day, 18:00 – 00:00 NY)
- Vertical start/end lines for the previous day session
- Live session High and Low tracking
- High/Low levels extend into the next day until 16:00 NY
- Labels: As - H and As - L
- Option to display only the current day
2) Killzones (New York Time)
London Killzone: 2:00 – 5:00 NY
- Optional DAX-only mode: If enabled, DAX uses 3:00 – 5:00 NY (DAX opening), while other assets remain 2:00 – 5:00 NY
New York Killzone (auto-adjust by asset type)
- Indices: 9:30 – 11:00 NY
- Other assets (FX / Commodities / Crypto): 7:00 – 10:00 NY
New York PM Killzone: 14:00 – 15:00 NY (all assets)
ll killzone lines are placed from the start of the NY day, so you can see upcoming killzones in advance (not only after candles appear).
3) Previous Day High / Low (PDH / PDL)
- Automatically calculates the full previous NY day range (00:00 – 23:59 NY)
- Plots PDH and PDL into the current day
- Labels: PDH and PDL
4) Live “Liquidity Taken” Table
- A compact table in the bottom-left shows whether price has:
- swept Asia High / Asia Low
- swept London High / London Low
- taken PDH / PDL
A green checkmark appears instantly once a level is broken.
Customization
Fully adjustable colors, widths, and line styles for:
- Session vertical lines
- Session high/low lines
- Killzones
- PDH/PDL
Adjustable label size
Day filtering options (current day only)
-----
Disclaimer
This indicator is for educational and technical analysis purposes only. It does not constitute financial or investment advice. Trading involves risk.
EMTIA_MASTER_LIBLibrary "EMTIA_MASTER_LIB"
trendUp(emaFast, emaSlow)
Parameters:
emaFast (float)
emaSlow (float)
rsiHealthy(rsi)
Parameters:
rsi (float)
adxStrong(adx, diPlus, diMinus)
Parameters:
adx (float)
diPlus (float)
diMinus (float)
macroSlope(emaFast, emaSlow)
Parameters:
emaFast (float)
emaSlow (float)
structureBull(hh, hl)
Parameters:
hh (bool)
hl (bool)
calcScore(weeklyTrend, dailyTrend, adxOk, rsiOk, structureOk, macroOk)
Parameters:
weeklyTrend (bool)
dailyTrend (bool)
adxOk (bool)
rsiOk (bool)
structureOk (bool)
macroOk (bool)
Liquidation Bubbles [OmegaTools]🔴🟢 Liquidation Bubbles — Advanced Volume & Price Stress Detector
Liquidation Bubbles is a professional-grade analytical tool designed to identify forced positioning events, stop-runs, and liquidation clusters by combining price displacement and volume imbalance into a single, statistically normalized framework.
This indicator is not a repainting signal tool and not a simple volume spike detector. It is a contextual market stress mapper, built to highlight areas where one-sided positioning becomes unstable and the probability of forced order execution (liquidations, stops, margin calls) materially increases.
---
## 🔬 Core Concept
Market liquidations do not occur randomly.
They emerge when price deviates aggressively from its volume-weighted equilibrium while volume itself becomes abnormal.
Liquidation Bubbles detects exactly this condition by:
* Estimating a **dynamic equilibrium price** using an *inverted volume-weighted moving average*
* Measuring **directional price stress** relative to that equilibrium
* Measuring **volume stress** relative to its own adaptive baseline
* Normalizing both into **Z-score–like metrics**
* Highlighting only **statistically extreme, asymmetric events**
The result is a clear visual map of stress points where market participants are most vulnerable.
---
⚙️ Methodology (How It Works)
1️⃣ Advanced Inverted VWMA (Equilibrium Engine)
The script uses a custom Advanced VWMA, where:
* High volume bars receive less weight
* Low volume bars receive more weight
This produces a **robust equilibrium level**, resistant to manipulation and volume bursts.
This equilibrium is used for **both price and volume normalization**, creating a consistent statistical framework.
---
2️⃣ Price Stress (Directional)
Price stress is calculated as:
* The **maximum deviation** between high/low and equilibrium
* Directionally signed (upside vs downside)
* Normalized by its own historical volatility
This allows the script to distinguish:
* Aggressive upside exhaustion
* Aggressive downside capitulation
---
3️⃣ Volume Stress
Volume stress is measured as:
* Deviation from volume equilibrium
* Normalized by historical volume dispersion
This filters out:
* Normal high-volume sessions
* Illiquid noise
And isolates abnormal participation imbalance.
---
4️⃣ Liquidation Logic
A liquidation event is flagged when:
* Both price stress and volume stress exceed adaptive thresholds
* The imbalance is directional and statistically extreme
Optional Combined Score Mode allows aggregation of price & volume stress into a single composite metric for smoother signals.
---
🔵 Bubble System (Signal Hierarchy)
The indicator plots **two tiers of bubbles**:
🟢🔴 Small Bubbles
* Early warning stress points
* Localized stop-runs
* Micro-liquidations
* Often precede reactions or short-term reversals
🟢🔴 Big Bubbles
* Full liquidation clusters
* Forced unwinds
* High probability exhaustion zones
* Frequently align with:
* Intraday extremes
* Range boundaries
* Reversal pivots
* Volatility expansions
Bubble color:
* **Green** → Downside liquidation (sell-side exhaustion)
* **Red** → Upside liquidation (buy-side exhaustion)
Bubble placement is **ATR-adjusted**, ensuring visual clarity without overlapping price.
---
🔄 Cross-Market Volume Analysis
The script allows optional **external volume sourcing**, enabling:
* Futures volume applied to CFDs
* Index volume applied to ETFs
* Spot volume applied to derivatives
This is critical when:
* Your traded instrument has unreliable volume
* You want **institutional-grade confirmation**
---
🧠 How to Use Liquidation Bubbles
This indicator is **not meant to be traded alone**.
Best use cases:
* 🔹 Confluence with support & resistance
* 🔹 Contextual confirmation for reversals
* 🔹 Identifying fake breakouts
* 🔹 Liquidity sweep detection
* 🔹 Risk management (avoid entering into liquidation zones)
Ideal for:
* Futures
* Indices
* Crypto
* High-liquidity FX pairs
* Intraday & swing trading
---
🎯 Who This Tool Is For
Liquidation Bubbles is designed for:
* Advanced discretionary traders
* Order-flow & liquidity-based traders
* Macro & index traders
* Professionals seeking **context**, not signals
If you want **where the market is fragile**, not just where price moved — this tool was built for you.
---
📌 Key Characteristics
✔ Non-repainting
✔ Statistically normalized
✔ Adaptive to volatility
✔ Works on all timeframes
✔ Futures & crypto ready
✔ No lagging indicators
✔ No moving average crosses
---
Liquidation Bubbles does not predict the future.
It shows you where the market is most likely to break.
— OmegaTools
Days of the Week (Mon-Fri) - Amsterdam timeIt shows the days of the week with a seperate line in Amsterdam Time
MTF MACD( TF0 cross 0 ) MULTI TIMEFRAME MACD Checking with OSMA TF+1 Momentum check
and TF+2 Trend Check to clarify the clean signal
Skewness Indicator偏態分佈指標Skewness Indicator
核心功能
偏度計算 - 測量價格分佈的不對稱性
正偏度:價格傾向於右偏,可能表示上漲趨勢
負偏度:價格傾向於左偏,可能表示下跌趨勢
可自定義參數
計算週期(預設20)
數據源(收盤價、開盤價等)
正負偏態閾值
視覺化元素
藍色線:即時偏度值
橙色線:偏度移動平均(平滑訊號)
背景顏色:綠色表示強正偏態,紅色表示強負偏態
信號標記:三角形標示潛在的交易機會
交易信號
看漲信號:當偏度向上突破負閾值
看跌信號:當偏度向下跌破正閾值
資訊面板 - 右上角顯示當前偏度值和狀態
功能
多時間週期(HTF) - 可選擇在更高時間框架上計算偏度(例如在5分鐘圖上顯示日線的偏度)
交易信號 - 三角形標記顯示潛在的交易機會
資訊面板 - 右上角顯示當前偏度值和市場狀態
視覺提示 - 閾值線和背景顏色提示極端狀態
使用建議
在參數中勾選「使用高時間週期」
選擇你想要的時間週期(如 D=日線, W=週線, 240=4小時)
這樣可以在短週期圖表上看到長週期的偏態趨勢
Core functions
Skewness calculation-Measuring the asymmetry of price distribution
Positive bias: The price tends to the right, which may indicate an upward trend
Negative bias: The price tends to the left, which may indicate a downward trend
Customizable parameters
Calculation cycle (default 20)
Data source (closing price, opening price, etc.)
Positive and negative bias threshold
Visual elements
Blue line: instant skewness value
Orange line: skewed moving average (smooth signal)
Background color: green indicates a strong positive bias, red indicates a strong negative bias
Signal mark: Triangle marks potential trading opportunities
Trading signals
Bullish signal: when the skewness breaks through the negative threshold upward
Bearish signal: when the bias falls below the positive threshold
Information panel-the upper right corner displays the current skewness value and status
function
Multi-time period (HTF)-you can choose to calculate the skewness on a higher time frame (for example, display the skewness of the daily line on a 5-minute chart)
Trading signals-Triangle marks show potential trading opportunities
Information panel-the upper right corner displays the current skewness value and market status
Visual cues-threshold lines and background colors indicate extreme states
Recommendations for use
Check "Use high time period" in the parameters
Choose the time period you want (e.g. D= daily, W= weekly, 240= 4 hours)
In this way, you can see the long-cycle bias trend on the short-cycle chart
furs ENG, Pinbar, IBF + HTFThis script will detect 3 types of patterns:
- Engufing Candles
- Pinbars
- Inside Bar Failures
It will also report whether any of the patterns are currently happening on HTF (previous candle - hence you will know whether previous day or week was engulfing, for example, and take action on it)
Multi KI Agenten Strategie (Final V2)What's included in the Pine Script (Technical Analysis)
These features are mathematically implemented in the script and function as "agent logic":
• Trend Following: Integrated via EMAs (50, 100, 200).
• Volume Analysis: An agent checks for institutional volume spikes.
• Supply & Demand: Zones are calculated based on price extremes.
• RSI & Fibonacci: Both are built in as decision criteria for the agents.
• Controlling AI: The "veto logic" in the code acts as a controlling instance, blocking signals if the risk is too high or divergences exist.
• Alerts: The "LONG" and "SHORT" alerts are only triggered after approval by the controlling mechanism.
BTC Scalping 3m | Supertrend + MACD Squeeze (NY) [v6 FINAL]BTC 3-Minute Scalping Strategy
Supertrend Bias + MACD Squeeze (New York Session)
This is a fully mechanical BTC scalping strategy designed to capture short momentum bursts that occur when volatility expands in the direction of the higher-timeframe trend.
The strategy combines trend confirmation, volatility compression/expansion, and strict session filtering to reduce noise and improve consistency.
How It Works
Trend Bias
Uses a 15-minute Supertrend to define market direction.
Trades are taken only in the direction of the higher-timeframe trend.
Counter-trend signals are ignored.
Timing & Entry
Executes on the 3-minute chart.
Waits for volatility compression using a LazyBear-style MACD Squeeze.
Enters only when the squeeze releases and momentum turns positive.
Entry occurs on candle close above the execution-timeframe Supertrend.
Session Filter
Trades only during the New York session (13:00–21:00 UTC).
This avoids low-liquidity periods and reduces false breakouts.
Risk & Exits
Dynamic stop-loss placed at the execution-timeframe Supertrend.
Risk is calculated using the actual filled entry price for accurate R-based exits.
Primary profit target is 0.5R, optimized for scalping.
Positions are exited immediately if:
Price closes against Supertrend
Supertrend flips direction
Momentum (MACD histogram) turns negative
Trades are typically short-lived (1–3 candles), keeping exposure minimal.
Key Characteristics
Non-repainting logic
Fully rule-based (no discretion)
High win-rate, low-RR scalping profile
Designed for BTC futures/perpetuals
Optimized for New York session volatility
Usage Notes
Run on BTC 3-minute charts
Best results during active NY hours
Performance will vary by exchange, fees, and slippage
This strategy is intended for education and testing, not financial advice
Summary
This strategy focuses on trading volatility expansion aligned with trend, using Supertrend for structure and MACD Squeeze for timing. By restricting trades to high-liquidity hours and enforcing strict exits, it aims for consistent, repeatable scalps rather than large directional bets.
GC/DC Momentum Predictor🎯 GC/DC Momentum Predictor v1.0
CORE CONCEPT:
Predicts Golden Cross/Death Cross BEFORE they occur by analyzing momentum, proximity, and trend alignment across 3 moving averages (20/60/120).
KEY SIGNALS:
- Strong GC/DC: Signals occurring with trend (above/below 120 MA) - Highest reliability
- Weak GC/DC: Signals occurring against trend - Lower reliability, use caution
- Support Hold: ⭐ MOST IMPORTANT - Price bounces from 120 MA during DC = Low-risk buy opportunity
- Resistance Break: Price breaks above 120 MA during GC = Strong bullish confirmation
HOW TO USE:
1. Add indicator to chart (works best on 4H/Daily timeframes)
2. Customize MA periods in Settings if needed (default: 20/60/120)
3. Set up alerts for key signals (especially "Support Hold")
4. Watch dashboard for real-time signal status
DASHBOARD GUIDE:
- MA: Your moving average periods
- Signal: Current prediction (Strong GC/Weak GC/Strong DC/Weak DC/No Signal)
- Short MA: 20/60 alignment (Bullish/Bearish/Mixed)
- Long MA: Price position vs 120 MA (Bullish/Bearish)
- 120 Status: Support/Resistance action (most critical for entries/exits)
- Gap: Distance between 20/60 MAs (negative = DC zone, positive = GC zone)
ALERT SETUP:
Create alerts in TradingView for:
- 💪 Support Hold (best buy signal)
- ✅ Strong GC (strong uptrend entry)
- 🚀 Resistance Break (breakout confirmation)
- ❌ Strong DC (exit signal)
CUSTOMIZATION:
All dashboard rows can be toggled on/off in Settings > Dashboard Settings
Adjust colors, position, and size to match your trading style
BEST PRACTICES:
✓ Wait for "Support Hold" during corrections for optimal entries
✓ Strong signals are more reliable than Weak signals
✓ Combine with volume analysis for confirmation
✓ Use "Once Per Bar Close" for alerts to avoid false signals
PARAMETER GUIDE:
- Short SMA (20): Short-term moving average period
- Long SMA (60): Mid-term moving average period
- Trend SMA (120): Long-term trend moving average period
- Proximity Threshold (2%): How close MAs must be for signal (lower = fewer signals)
- Acceleration Factor (1.2): Momentum strength requirement (higher = fewer signals)
Version 1.0 | January 2025
Free to use | Please leave feedback in comments!
🎯 GC/DC 모멘텀 예측기 v1.0
핵심 개념:
3개의 이동평균선(20/60/120)에서 모멘텀, 근접도, 추세 정렬을 분석하여 골든크로스/데드크로스를 발생 전에 미리 예측합니다.
주요 신호:
- Strong GC/DC: 추세와 함께 발생하는 신호(120 MA 위/아래) - 신뢰도 최고
- Weak GC/DC: 추세와 반대로 발생하는 신호 - 신뢰도 낮음, 주의 필요
- Support Hold: ⭐ 가장 중요 - DC 중 120 MA에서 반등 = 저위험 매수 기회
- Resistance Break: GC 중 120 MA 돌파 = 강한 상승 확인
사용 방법:
1. 차트에 지표 추가 (4시간봉/일봉에서 최적)
2. 필요시 설정에서 MA 기간 조정 (기본값: 20/60/120)
3. 핵심 신호에 대한 알림 설정 (특히 "Support Hold")
4. 대시보드에서 실시간 신호 상태 확인
대시보드 가이드:
- MA: 사용 중인 이동평균 기간
- Signal: 현재 예측 신호 (Strong GC/Weak GC/Strong DC/Weak DC/No Signal)
- Short MA: 20/60 배열 상태 (Bullish/Bearish/Mixed)
- Long MA: 120 MA 대비 가격 위치 (Bullish/Bearish)
- 120 Status: 지지/저항 행동 (진입/청산에 가장 중요)
- Gap: 20/60 MA 간 거리 (음수 = DC 구간, 양수 = GC 구간)
알림 설정:
트레이딩뷰에서 다음 신호에 대한 알림 생성:
- 💪 Support Hold (최고의 매수 신호)
- ✅ Strong GC (강한 상승 추세 진입)
- 🚀 Resistance Break (돌파 확인)
- ❌ Strong DC (청산 신호)
커스터마이징:
모든 대시보드 행은 설정 > Dashboard Settings에서 켜기/끄기 가능
색상, 위치, 크기를 트레이딩 스타일에 맞게 조정
추천 사용법:
✓ 조정 시 "Support Hold" 대기로 최적 진입점 확보
✓ Strong 신호가 Weak 신호보다 신뢰도 높음
✓ 거래량 분석과 병행하여 확인
✓ 알림은 "봉 종가 시 한 번"으로 설정하여 허위 신호 방지
파라미터 설명:
- Short SMA (20): 단기 이동평균 기간
- Long SMA (60): 중기 이동평균 기간
- Trend SMA (120): 장기 추세 이동평균 기간
- Proximity Threshold (2%): 신호 발생을 위한 MA 간 근접도 (값이 작을수록 신호 적음)
- Acceleration Factor (1.2): 모멘텀 강도 요구 수준 (값이 클수록 신호 적음)
버전 1.0 | 2025년 1월
무료 사용 | 댓글로 피드백 부탁드립니다!
WYCKOFF_SHARED_LIBLibrary "WYCKOFF_SHARED_LIB"
EPS()
nz0(x)
Parameters:
x (float)
safe_div(num, den)
Parameters:
num (float)
den (float)
safe_div_eps(num, den)
Parameters:
num (float)
den (float)
safe_ratio(a, b)
Parameters:
a (float)
b (float)
clamp(x, lo, hi)
Parameters:
x (float)
lo (float)
hi (float)
wave_dir(startPx, endPx)
Parameters:
startPx (float)
endPx (float)
wave_amp(startPx, endPx)
Parameters:
startPx (float)
endPx (float)
wave_amp_atr(amp, atr)
Parameters:
amp (float)
atr (float)
wave_speed(ampATR, lenBars)
Parameters:
ampATR (float)
lenBars (int)
wave_eff(amp, path)
Parameters:
amp (float)
path (float)
build_wave_metrics(dir, lenBars, startPx, endPx, ampATR, speed, eff, volRel, epr)
Parameters:
dir (int)
lenBars (int)
startPx (float)
endPx (float)
ampATR (float)
speed (float)
eff (float)
volRel (float)
epr (float)
compare_waves(w0, w1)
Parameters:
w0 (WaveMetrics)
w1 (WaveMetrics)
strengthening_same_dir(c)
Parameters:
c (WaveCompare)
weakening_same_dir(c)
Parameters:
c (WaveCompare)
evr_by_waves(volSum0, ampATR0, volSum1, ampATR1)
Parameters:
volSum0 (float)
ampATR0 (float)
volSum1 (float)
ampATR1 (float)
WaveMetrics
Fields:
dir (series int)
lenBars (series int)
startPx (series float)
endPx (series float)
amp (series float)
ampATR (series float)
speed (series float)
eff (series float)
volRel (series float)
effortPerResult (series float)
WaveCompare
Fields:
amp_ratio (series float)
speed_ratio (series float)
eff_ratio (series float)
volRel_ratio (series float)
epr_ratio (series float)
EVR
Fields:
state (series int)
HTF Double BOS + Inducement (XAU) ebenThis indicator is a market structure and inducement scanner designed to assist discretionary traders.
It identifies:
• Higher-timeframe market regime using a double Break of Structure (BOS) on the Daily and 4H timeframes.
• Lower-timeframe Break of Structure (BOS).
• Valid inducement based on a minimum 70% retracement rule.
The script is intended to be used as a confirmation and alert tool, not as a standalone buy/sell system.
⸻
How It Works
1. The indicator first confirms directional bias using Daily and 4H BOS alignment.
2. When higher-timeframe bias is valid, it scans the active chart timeframe for:
• a Break of Structure,
• followed by inducement using a retracement-based rule.
3. When conditions align, the script displays a visual marker and can trigger an alert.
⸻
Important Notes
• This indicator does not predict price.
• It does not automatically execute trades.
• It should be used in conjunction with proper risk management and personal analysis.
• Signals may appear less frequently due to strict filtering logic.
⸻
Recommended Usage
• Best suited for trend-following strategies.
• Works well on Gold (XAUUSD) and other liquid markets.
• Designed for use on 30m, 15m, and 5m charts.
• Alerts should be treated as areas of interest, not direct trade instructions.
⸻
Disclaimer
This script is provided for educational and analytical purposes only.
The author is not responsible for trading losses. Use at your own risk.
