P&T incl. lijnen en timeframePeaks en Troughs indicator waarin je de timeframe kan opgeven en het aantal minimale candles welke tussen een high en low in moeten zitten. Eventueel kan je deze P&T koppelen met een line.
Trend Analysis
+25% DMA200 +25% DMA200 highlights daily over-extension by printing a ⚠️ marker on every daily candle where price is more than X% above the Daily 200 DMA (200-period SMA calculated on the Daily timeframe). It also plots the Daily DMA200 line on the chart. Recommended usage in GOLD, GLD, etc.
How it works
Computes DMA200 using Daily data
Measures extension: (Close − DMA200) / DMA200
If extension is above the threshold (default 0.25 = 25%), it places a ⚠️ above that candle (one per qualifying daily candle).
Optional alert triggers only when extension crosses above the threshold (entry into the over-extended zone).
Inputs
DMA Length (Daily): Moving average length (default 200).
Threshold: Over-extension level (0.25 = 25%).
Run ONLY on 1D chart: If enabled, marks/alerts only on Daily charts.
Pad above high: Vertical spacing for the marker above the candle’s high.
Keep last N markers: Limits how many markers are kept to avoid chart clutter.
Note
This is not a buy/sell signal—it’s a risk/extension detector to help identify when price is stretched far above its long-term daily mean.
Final Project Midpoint Package (4H / D / W) Layer 1This script runs based off of the higher timeframe candlesticks. (4HR and Daily)
This strategy is simple and is based on your logic as well. I personally use all 5 strategies on one chart however those are being tested. As soon as you get it you will see allot on the screen , just open the setting and turn off the extra bands from the 4HR and the Daily. Fix your settings however you seem fit . Once the others are finished testing i will release those also. Will be adding updates as it progresses.
Apex ICT: Proximity & Delivery FlowThis indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
Apex ICT: Proximity & Delivery FlowSimple Description: This indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
BTCUSD RSI + Fear & GreedA chill rsi + fear n greed indicator draft, may need some touch ups but seems to be a solid concept on paper :)
Quantum Reversal Detector [JOAT]
Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis
Introduction and Purpose
Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context.
This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal.
Why These Components Work Together
The indicator combines five analytical approaches, each addressing a different aspect of reversal detection:
1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold)
2. MACD Crossovers - Confirms momentum direction change
3. Support/Resistance Proximity - Ensures price is at a significant level
4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes
5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating
These components are not randomly combined. Each filter catches reversals that others miss:
RSI catches momentum exhaustion but misses structural reversals
MACD catches momentum shifts but lags price action
S/R proximity catches structural levels but ignores momentum
Multi-depth momentum catches divergences across timeframes
Probability scoring combines all factors into actionable confidence levels
How the Detection System Works
Step 1: Pattern Detection
The indicator first identifies potential reversal conditions:
// Check if price is at support/resistance
float lowestLow = ta.lowest(low, period)
float highestHigh = ta.highest(high, period)
bool atSupport = low <= lowestLow * 1.002
bool atResistance = high >= highestHigh * 0.998
// Check RSI conditions
float rsi = ta.rsi(close, 14)
bool oversold = rsi < 30
bool overbought = rsi > 70
// Check MACD crossover
float macd = ta.ema(close, 12) - ta.ema(close, 26)
float signal = ta.ema(macd, 9)
bool macdBullish = ta.crossover(macd, signal)
bool macdBearish = ta.crossunder(macd, signal)
// Combine for reversal detection
if atSupport and oversold and macdBullish
bullishReversal := true
Step 2: Multi-Depth Momentum Analysis
The indicator calculates momentum across multiple periods to detect divergences:
calculateQuantumMomentum(series float price, simple int period, simple int depth) =>
float totalMomentum = 0.0
for i = 0 to depth - 1
int currentPeriod = period * (i + 1)
float momentum = ta.roc(price, currentPeriod)
totalMomentum += momentum
totalMomentum / depth
This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts.
Step 3: Bayesian Probability Calculation
The indicator uses Bayesian updating to calculate reversal probability:
bayesianProbability(series float priorProb, series float likelihood, series float evidence) =>
float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb
math.min(math.max(posterior, 0.0), 1.0)
The prior probability starts at 50% and updates based on:
RSI extreme readings increase likelihood
MACD crossovers increase likelihood
S/R proximity increases likelihood
Momentum divergence increases likelihood
Step 4: Confidence Intervals
Using Monte Carlo simulation concepts, the indicator estimates price distribution:
monteCarloSimulation(series float price, series float volatility, simple int iterations) =>
float sumPrice = 0.0
float sumSqDiff = 0.0
for i = 0 to iterations - 1
float randomFactor = (i % 10 - 5) / 10.0
float simulatedPrice = price + volatility * randomFactor
sumPrice += simulatedPrice
float avgPrice = sumPrice / iterations
// Calculate standard deviation for confidence intervals
This provides 95% and 99% confidence bands around the current price.
Signal Classification
Signals are classified by confirmation level:
Confirmed Reversal : Pattern detected for N consecutive bars (default 3)
High Probability : Confirmed + Bayesian probability > 70%
Ultra High Probability : High probability + PDF above average
Dashboard Information
The dashboard displays:
Bayesian Probability - Updated reversal probability (0-100%)
Quantum Momentum - Multi-depth momentum average
RSI - Current RSI value with overbought/oversold status
Volatility - Current ATR as percentage of price
Reversal Signal - BULLISH, BEARISH, or NONE
Divergence - Momentum divergence detection
MACD - Current MACD histogram value
S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL
95% Confidence - Price range with 95% probability
Bull/Bear Targets - ATR-based reversal targets
Visual Elements
Quantum Bands - ATR-based upper and lower channels
Probability Field - Circle layers showing probability distribution
Confidence Bands - 95% and 99% confidence interval circles
Reversal Labels - REV markers at confirmed reversals
High Probability Markers - Star diamonds at high probability setups
Reversal Zones - Boxes around confirmed reversal areas
Divergence Markers - Triangles at momentum divergences
How to Use This Indicator
For Reversal Trading:
1. Wait for Bayesian Probability to exceed 70%
2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE)
3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts)
4. Enter when REV label appears with high probability marker
For Risk Management:
1. Use the 95% confidence band as a stop-loss reference
2. Use Bull/Bear Targets for take-profit levels
3. Higher probability readings warrant larger position sizes
For Filtering False Signals:
1. Increase Confirmation Bars to require more consecutive signals
2. Only trade when probability exceeds 70%
3. Require divergence confirmation for highest conviction
Input Parameters
Reversal Period (21) - Lookback for S/R and momentum calculations
Quantum Depth (5) - Number of momentum layers for multi-depth analysis
Confirmation Bars (3) - Consecutive bars required for confirmation
Detection Sensitivity (1.2) - Band width and target multiplier
Bayesian Probability (true) - Enable probability calculation
Monte Carlo Simulation (true) - Enable confidence interval calculation
Normal Distribution (true) - Enable PDF calculation
Confidence Intervals (true) - Enable confidence bands
Timeframe Recommendations
1H-4H: Best for swing trading reversals
Daily: Fewer but more significant reversal signals
15m-30m: More signals, requires higher probability threshold
Limitations
Statistical concepts are simplified implementations for Pine Script
Monte Carlo uses deterministic pseudo-random factors, not true randomness
Bayesian probability uses simplified prior/likelihood model
Reversal detection does not guarantee actual reversals will occur
Confirmation bars add lag to signal generation
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 component works.
This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses.
- Made with passion by officialjackofalltrades
Trend lines & Pressure Zone Overview
This indicator intelligently identifies and plots dynamic support and resistance zones based on swing pivots and price action validation. It combines trend analysis with pressure zone detection to highlight key areas where price is likely to react.
Key Features
1.Smart Zone Detection
Automatically identifies the strongest resistance and support levels
Requires multiple price touches for validation (configurable)
Plots only the 2 most relevant trendlines to keep charts clean
Dynamic channel zones show the area of influence around each trendline
2.Dual Analysis Method
Uses swing pivot detection to find turning points
Validates zones through touch counting with price margin tolerance
Combines aspects of trendline analysis and pressure zone theory
Adapts to different timeframes and instruments
3.Contact Detection & Alerts
Visual circle markers when price contacts zones
Arrow indicators for zone interactions
Alert conditions for zone creation, breaks, and contacts
Customizable visual feedback
4.Flexible Configuration
Adjustable swing length for pivot detection
Configurable price margin tolerance
Minimum touch requirements prevent false signals
Optional line extension with custom length
Peak reset interval to refresh zones periodically
How It Works
Resistance Zones:
Identifies swing high pivots
Tracks the highest peak within the reset interval
When price drops below the peak, draws a downward trendline
Validates the zone by counting touches within the price margin
Only displays the zone after minimum touches are confirmed
Support Zones:
Identifies swing low pivots
Tracks the lowest trough within the reset interval
When price rises above the trough, draws an upward trendline
Validates the zone by counting touches within the price margin
Only displays the zone after minimum touches are confirmed
Zone Channels:
Each trendline includes a parallel channel showing the pressure zone width, making it easier to identify when price is interacting with the zone.
Pivot Detection:
Swing Length (default: 5) - Bars on each side to confirm pivot points
Peak Reset Interval (default: 100) - Bars before resetting tracked peak/trough
Zone Settings:
Price Margin % (default: 0.1%) - Tolerance for touch validation
Minimum Touches (default: 3) - Required touches before drawing zone
Channel Width % (default: 0.5%) - Visual width of pressure zone
Extension:
Extend Lines (default: off) - Project lines into the future
Extension Length (default: 50) - Bars to extend when enabled
Visual Styling:
Separate color/width controls for resistance and support
Customizable fill transparency for channels, Toggle contact arrows and circles
Trading Applications
Entry Signals:
Buy when price contacts support zone with confirmation
Sell when price contacts resistance zone with confirmation, Look for zone breaks as momentum signals
Stop Loss Placement:
Place stops beyond the opposite zone, Use channel width to gauge volatility
Target Setting:
Opposite zone acts as first profit target, Zone breaks signal potential trend continuation
Confluence:
Works well with volume analysis,Combine with RSI/MACD for confirmation,
Use multiple timeframes for stronger signals
Best Practices
✅ DO:
Adjust swing length based on timeframe (lower for intraday, higher for daily+)
Reduce minimum touches (2-3) for volatile markets
Increase price margin for choppy conditions
Wait for candle close confirmation on zone breaks
❌ DON'T:
Trade zones in isolation without other confirmation
Use overly tight parameters that generate false signals
Ignore the broader trend context
Chase price after zone breaks without pullback
Tips for Optimization
Scalping (1-5 min): Swing Length: 3-5, Min Touches: 2
Day Trading (15-60 min): Swing Length: 5-10, Min Touches: 3
Swing Trading (4H-Daily): Swing Length: 10-20, Min Touches: 3-4
Position Trading (Daily-Weekly): Swing Length: 15-25, Min Touches: 4-5
Alert Conditions
Zone Contact: Price touches resistance or support zone
Set up notifications for real-time trading opportunities
Disclaimer: This indicator is for educational and informational purposes only. It should not be considered financial advice. Always perform your own analysis and risk management before trading.
Cantillon DashboardA dashboard based on my trading regime.
If you want you can use it as a scanner but subscribe to my daily trading newsletter and get my terminal regime here on TV.
Thanks a lot for supporting me.
Volume-Confirmed Trend Thrust IndicatorOVERVIEW
This indicator combines trend strength, momentum & volume analysis to generate high-conviction buy and sell signals. It is based on the "Volume Confirmation for a Trend System" (VCTS) by Buff Pelz Dormeier (TASC August 2024), which I have taken the liberty of 'buffing up' (heh!) by swapping out original VPCI component with the ATR-aware Net Accumulation Flow (NAF) indicator derived from Markos Katsanos' VPN indicator (TASC April 2021).
The result is a system that only triggers buy signals when three independent conditions align:
• A strong trend exists (ADX)
• Momentum is bullish (TTI)
• Institutional accumulation is detected (NAF)
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COMPONENTS
█ ADX (Average Directional Index)
Measures trend strength regardless of direction. A reading above 30 indicates a strong trend worth trading. This filter prevents signals during choppy, sideways markets.
█ TTI (Trend Thrust Indicator)
Dormeier's volume-weighted MACD variant that provides momentum direction. Unlike standard MACD, TTI uses Volume-Weighted Moving Averages (VWMA) and applies a volume multiplier that amplifies signals when volume confirms price movement. When TTI crosses above its signal line, momentum is considered bullish.
█ NAF (Net Accumulation Flow)
The key enhancement - in my humble opinion - over the original VCTS. NAF classifies each bar's volume as:
• Accumulation: Price moved UP more than 10% of ATR
• Distribution: Price moved DOWN more than 10% of ATR
• Neutral: Price movement too small to be meaningful (filtered as noise)
NAF then calculates the net flow (Accumulation Volume - Distribution Volume) over a 30-bar lookback period, normalized and smoothed. This provides a cleaner read on whether institutions are accumulating or distributing.
Perceived benefits of NAF:
• ATR-based noise filtering eliminates false readings from small price movements
• Rolling 30-bar accumulation captures sustained institutional activity
• Empirically calibrated thresholds based on 717 stocks / 360,000 observations
• 3-period EMA smoothing reduces whipsaws
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SIGNAL LOGIC
🟢 BUY SIGNAL
All three conditions must be true simultaneously:
1. ADX > 30 (strong trend)
2. TTI > Signal Line (bullish momentum)
3. NAF > 16 (accumulation)
Signals fire on the first bar where all conditions align, preventing repeated signals during sustained bullish periods.
🔴 SELL SIGNAL
Exit when volume flow turns negative:
• NAF < -9 (below neutral zone, indicating distribution).
This indicator retains Dormeier's asymmetric approach (strict entry, quick exit) to help protect profits when institutional support fades.
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NAF THRESHOLD REFERENCE
Based on proprietary empirical calibration (717 stocks, 360K observations):
>= +35 │ Strong Accumulation (P95, ~5% of days)
>= +28 │ Solid Accumulation (P90, ~10% of days)
>= +16 │ Moderate Accumulation (P75) ← Default Buy Threshold
-9 to +16 │ Neutral Zone (~50% of days)
<= -9 │ Below Neutral ← Default Sell Threshold
<= -22 │ Solid Distribution (P10)
<= -29 │ Strong Distribution (P5)
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SETTINGS
Setting for all 3 variables (ADX, TTI & NAF), alerts and visual conditional formatting are configurable.
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USAGE TIPS
1. Works best on daily timeframe for swing trading
2. More effective on liquid stocks where volume data is meaningful
3. Consider using NAF threshold of 28 (P90) for higher conviction entries
5. Combine with price action analysis (support/resistance, RS, chart patterns)
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MAXIMUM RESPECT:
• VCTS (ADX + TTI + VPCI): Buff Pelz Dormeier, "Volume Confirmation For A Trend System", Technical Analysis of Stocks & Commodities (TASC), August 2024. Pine Script adaptation: PineCoders.
• VPN / NAF: Markos Katsanos, Technical Analysis of Stocks & Commodities (TASC), April 2021. Pine Script adaptation: LevelUp/John Muchow.
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DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always conduct your own analysis and consider your risk tolerance before making trading decisions. Use appropriate position sizing and stop-loss orders to manage risk.
BOS/CHoCH Impulsive Move Detector #12Updated exit logic to measure at candle close vs candle wicks. Added session PnL/hr and implemented a FAST identifier that tracks impulse moves >= 10% <=3 hrs.
Jake's Candle by Candle UpgradedJake's Candle by Candle Upgraded
The "Story of the Market" Automated
This is not just another signal indicator. Jake's Candle by Candle Upgraded is a complete institutional trading framework designed for high-precision scalping on the 1-minute and 5-minute timeframes.
Built strictly on the principles of Al Brooks Price Action and Smart Money Concepts (SMC), this tool automates the rigorous "Candle-by-Candle" analysis used by professional floor traders. It moves beyond simple pattern recognition to read the "Story" of the market—Context, Setup, and Pressure—before ever allowing a trade.
The Philosophy: Why This Tool Was Built
Most retail traders fail for two reasons:
Getting Trapped: They enter on the first sign of a reversal (H1/L1), which is often an institutional trap.
Trading Chop: They bleed capital during low-volume, sideways markets.
This tool solves both problems with an Algorithmic Discipline Engine. It does not guess. It waits for the specific "Second Leg" criteria used by institutions and physically disables itself during dangerous market conditions.
Key Features
1. The Context Dashboard (HUD)
A professional Heads-Up Display in the top-right corner keeps you focused on the macro picture while you scalp.
FLOW: Monitors the 20-period Institutional EMA. (Green = Bull Flow, Red = Bear Flow). You are prevented from trading against the dominant trend.
STATE: A built-in "Volatility Compressor." If it says "⚠️ CHOP / RANGE", the algorithm is disabled. It protects you from overtrading during lunch hours or low-volume zones.
SETUP: Live tracking of the Al Brooks leg count. It tells you exactly when the algorithm is "Waiting for Pullback" or "Searching for Entry."
2. Smart "Trap Avoidance" Logic (H2/L2)
This tool uses the "Gold Standard" of scalping setups: The High 2 (H2) and Low 2 (L2).
It ignores the first breakout attempt (Leg 1), acknowledging it as a potential trap.
It waits for the pullback and only signals on the Second Leg, statistically increasing the probability of a successful trend resumption.
3. Volatility-Adaptive Risk Management
Stop calculating pips in your head. The moment a signal is valid, the tool draws your business plan on the chart:
Stop Loss (Red Line): Automatically placed behind the "Signal Bar" (the candle that created the setup) based on strict price action rules.
Take Profit (Green Line): Automatically projected at a 1.5 Risk-to-Reward Ratio.
Smart Adaptation: The targets expand and contract based on real-time market volatility. If the market is quiet, targets are tighter. If explosive, targets are wider.
4. The "Snap Entry" Signal
The BUY and SELL badges are not lagging. They are programmed with "Stop Entry" logic—appearing the exact moment price breaks the structure of the Signal Bar, ensuring you enter on momentum, not hope.
How to Trade Strategy
Check the HUD: Ensure FLOW matches your direction and STATE says "✅ VOLATILE".
Wait for the Badge: Do not front-run the tool. Wait for the BUY or SELL badge to print.
Set Your Orders: Once the signal candle closes:
Place your Stop Loss at the Red Line.
Place your Take Profit at the Green Line.
Walk Away: The trade is now a probability event. Let the math play out.
Technical Specifications
Engine: Pine Script v6 (Strict Compliance).
Best Timeframes: 1m, 5m.
Best Assets: Indices (NQ, ES), Gold (XAUUSD), and high-volume Crypto (BTC, ETH).
Custom RSI with Multi-Level Colors
Custom RSI with Multi-Level Colors
buy signal when rsi < 35
rsi color does not change when rsi > 40
below 35, for every 5-point drop, color changes
Today's Session High/Low + Previous LevelsThis indicator combines multiple powerful tools into one clean overlay:
Today’s Session High & Low for Asia, London and New York, automatically drawn only for the current trading day.
Previous High & Low levels based on configurable timeframes (hour, day, week, month or year), including optional filtering and area zones.
EMA Trend Table showing EMA20, EMA50 and EMA200 alignment across multiple timeframes with clear bullish/bearish status.
Designed to help traders quickly identify key intraday levels, higher-timeframe liquidity zones and overall market trend at a glance.
Institutional Alpha Vector | D_QUANTInstitutional Alpha Vector | D_QUANT
Overview
The Institutional Alpha Vector (IAV) is an enterprise-grade composite trend ecosystem designed to identify high-probability institutional order flow. Unlike standard indicators that rely on a single data point, the IAV synthesizes Price Action, Momentum Physics, Volatility Regimes, and Volume Flow into a single, unified Alpha Vector.
This tool is not merely a signal generator, it is a market regime filter. It visualizes the consensus of four distinct quantitative models through a sophisticated "Electric Conduit" rendering engine, allowing traders to visualize the strength, direction, and volatility of the current trend instantly.
The Quantitative Engine
The IAV constructs its signal by calculating a weighted consensus across four distinct modules. These modules work in synergy to filter out noise and highlight sustained institutional moves.
MODULE 1 :: PRICE_FILTER : A highly responsive Hull Moving Average that serves as the "Spine" of the trend, reducing lag while maintaining smoothness.
MODULE 2 :: VOLATILITY_REGIME : A dynamic envelope that adjusts to market noise. This creates the "Conduit" width—expanding during high-volatility expansion and contracting during consolidation.
MODULE 3 :: MOMENTUM_PHYSICS : A directional movement filter that ensures signals are only generated when trend strength exceeds a specific threshold (default: 20).
MODULE 4 :: INSTITUTIONAL_FLOW : A volume-weighted money flow engine that confirms if price movement is supported by actual volume (Smart Money participation).
The Alpha Vector
The core of this system is the Alpha Vector calculation. The indicator normalizes the outputs of all active modules into a composite score between -1.0 (Strong Bearish Consensus) and +1.0 (Strong Bullish Consensus).
Bullish Entry: When the Alpha Vector crosses above the Long Threshold (Default: 0.1).
Bearish Entry: When the Alpha Vector crosses below the Short Threshold (Default: -0.1).
Neutral/Cash: When the consensus is weak or conflicting, the ribbon turns Grey/Flat, advising the trader to remain on the sidelines.
// ==========================================
// 3. SIGNAL AGGREGATION
// ==========================================
calc_composite_matrix() =>
_hma = calc_hma_series(hma_src, hma_len)
_hma_sig_v = 0
if ta.crossover(close, _hma)
_hma_sig_v := 1
else if ta.crossunder(close, _hma)
_hma_sig_v := -1
_adx_sig_v = calc_adx_state(adx_len, adx_thresh)
_cmf_sig_v = calc_cmf_state(cmf_len)
_rma_sig_v = calc_rma_filter_state(hma_src, lookback, atr_len)
var int s_hma = 0
var int s_adx = 0
var int s_cmf = 0
var int s_rma = 0
if _hma_sig_v != 0
s_hma := _hma_sig_v
if _adx_sig_v != 0
s_adx := _adx_sig_v
if _cmf_sig_v != 0
s_cmf := _cmf_sig_v
if _rma_sig_v != 0
s_rma := _rma_sig_v
= request.security(syminfo.ticker, "D", calc_composite_matrix(), lookahead=barmerge.lookahead_on)
float alpha_score_num = 0.0
int alpha_score_den = 0
if use_hma
alpha_score_num += d_hma
alpha_score_den += 1
if use_adx
alpha_score_num += d_adx
alpha_score_den += 1
if use_cmf
alpha_score_num += d_cmf
alpha_score_den += 1
if use_rma
alpha_score_num += d_rma
alpha_score_den += 1
alpha_vector = alpha_score_den > 0 ? alpha_score_num / alpha_score_den : 0.0
Visual Intelligence: The "Electric Conduit"
The visualization logic uses a Differential Gradient Model to represent market energy:
The Spine (Core): The solid, bright center line represents the immediate trend direction.
The Conduit (Fill): The gradient fill represents the Volatility Regime.
Thick/Wide Ribbon: High Volatility (Expansion Phase).
Thin/Tight Ribbon: Low Volatility (Contraction/Squeeze Phase).
Bar Coloring: Native bar coloring is integrated to instantly align price action with the Alpha Vector, removing the need for mental processing.
Settings
The indicator is fully customizable via a "Compute-Style" configuration menu:
MODULES: Toggle specific engines (HMA, ADX, CMF, RMA) on or off to adapt the Alpha Vector to your specific asset class (Crypto, Forex, or Indices).
THRESHOLDS: Adjust sensitivity for Long/Short entries.
VISUALS: Customize the "Core" and "Edge" colors to match your charting theme.
“Alpha is not about predicting the future. It is about aligning with the mathematical consensus of the present.” — D_QUANT
Multi-KI-Agenten Strategie FINAL-PROMulti-AI agent trading system, including EMA 50, 100 & 200, Fibonacci retracement, supply and demand, RSI, and much more. Simply add the data, set alerts, and you're ready to go.
Please use this system solely to confirm your own analyses. It should never be used as a 100% reference.
Today's Session High/Low + Previous LevelsDescription
This indicator combines multiple powerful tools into one clean overlay:
Today’s Session High & Low for Asia, London and New York, automatically drawn only for the current trading day.
Previous High & Low levels based on configurable timeframes (hour, day, week, month or year), including optional filtering and area zones.
EMA Trend Table showing EMA20, EMA50 and EMA200 alignment across multiple timeframes with clear bullish/bearish status.
Designed to help traders quickly identify key intraday levels, higher-timeframe liquidity zones and overall market trend at a glance.
Auto Trendline using Liquidity Sweeps By Vachaspati JhaThis auto trendline systime uses Liquidity sweep points to draw, making them extremely reliable- price action respects these trendlines.
You can choose different pivot numbers for Green and Red lines to suit market condition. For instance in uptrend green line pivot number can be 2 or higher and Red line pivot number can be 1 for pullback opportunities.
EXPANSION MODELTrading algo has been optimized to pin point key areas in the market where large order reside.
Works best with XXXUSD pairs as a trend following model.
Dragon Trend+Arrows Suite
This indicator is a volatility-normalized momentum + trend state tool designed to provide a clean “market regime” read: UP / DOWN / NEUTRAL, with optional visual confirmation on the chart. Works on collection of clasic indicators and some simple math.
⚙️ How it works (logic)
1) Adaptive baseline
The core reference line is an EMA(basisLen) acting as a dynamic equilibrium price. You can treat this setting as a sensitivity for entire thing.
2) ATR volatility envelope
An ATR channel is built around the baseline:
Upper Band = EMA + (ATR × multiplier)
Lower Band = EMA − (ATR × multiplier)
This scales signals to current volatility (tight markets vs. fast markets).
3) “Impulse” detection
Bull impulse when price is above both the baseline and the upper ATR band.
Bear impulse when price is below both the baseline and the lower ATR band.
4) Momentum confirmation (filters)
Signals are confirmed only when momentum agrees:
RSI must be on the correct side of 50
MACD Histogram must match direction (positive for bullish / negative for bearish)
So a signal requires price expansion (ATR breakout) + momentum agreement (RSI + MACD).
🧭 Trend state behavior
When a new BUY/SELL impulse is confirmed, the script updates a persistent trend state (“BUY”, “SELL”, or “NONE”).
That state stays active until the opposite confirmed impulse appears.
✅ Visuals & Usage
Made some minor, mostly visual upgrades on this release:
Baseline + ATR bands are smoothed for cleaner visuals.
Optional BUY/SELL arrows are plotted outside the channel to avoid overlap with channel.
Optional full-chart background shading reflects the current trend state:
Green = UPTREND
Red = DOWNTREND
A minimal top panel shows the current regime (UP / DOWN / NEUTRAL).
I also recently added this channel smoother parameter (for Dragon Channel), if you want it to have less spikes on those MAs just use the bigger number, I picked 8 for default.
Actualy its as simple as just follow the arrows direction, given the correct settings with slightly higher basisLen on higher TFs you can get prety accurate long shots. Ofcourse you can still can get random signals or noise on lower TFs, so it can be used as a background trend/momentum confirmation layer alongside your other favorite indicators or strategy tools.
Quantum RCI FusionDescription:
Overview: The Quantum Momentum Engine Quantum RCI Fusion is a sophisticated momentum oscillator designed to solve the #1 problem of classic indicators: false signals in sideways markets. At the core of this script is the Rank Correlation Index (RCI), a powerful statistical tool based on Spearman’s correlation. Unlike RSI or Stochastic which only look at price levels, the RCI evaluates the "quality" of a trend by measuring the temporal correlation of price ranks.
This script is not just a line drawing: it is a complete trading ecosystem that fuses three RCI timeframes, volatility filters, and a real-time Risk Management simulation.
🛠 How It Works: The "Fusion" Logic
The strength of this indicator lies in the synergy between its components. It is not a simple mashup, but a filtered logical system:
Triple RCI Engine (Fast, Mid, Slow):
Fast (13) & Mid (18): These generate the Crossover signal for precise entry timing.
Slow (30) - The "Trend Shield": The true innovation. It acts as a directional shield; if the baseline is bullish, the script protects Long positions by ignoring premature exit signals, allowing you to ride the full trend.
HMA Smoothing: Raw price data passes through a Hull Moving Average before the RCI calculation. This drastically reduces market "noise" without sacrificing the responsiveness typical of the RCI.
Intelligent Filters (Anti-Whipsaw):
ADX Integration: Signals are blocked if the ADX is below the threshold (default 20), preventing trading in flat/ranging markets.
Momentum Impulse: Requires a minimum variation (Delta) in the RCI to confirm that the move has real drive and is not just random fluctuation.
🛡 Risk Management & Simulation
Since timing is useless without risk management, Quantum RCI Fusion includes a Dashboard and sophisticated exit logic:
Multiple Exits:
Take Profit / Stop Loss: Based on dynamic ATR multipliers.
Shield Break: Safety exit if the underlying trend (Slow RCI) changes direction.
Emergency: Immediate close if momentum sharply reverses across the zero line.
Live Dashboard: Monitors Win Rate, virtual PnL, and Trade Status (Long/Short/Scanning) in real-time directly on the chart, removing the need for external backtesters.
🚀 How to Use It
Setup: Add the script to a separate pane below your price chart.
Entry Signals:
LONG (Green Triangle): RCI Fast crosses Mid upwards + Oversold Zone (< -80) + ADX > 20 + Bullish Shield.
SHORT (Red Triangle): RCI Fast crosses Mid downwards + Overbought Zone (> 80) + ADX > 20 + Bearish Shield.
Customization:
Scalping: Reduce RCI lengths (e.g., 8/12/20) and disable the "Trend Shield" for quick entries and exits.
Swing Trading: Keep defaults and use the ATR Trailing logic to manage positions on H4 or Daily timeframes.
⚖️ Notes & Credits
Originality: This script enhances the standard RCI by implementing Array-based calculations (optimized for Pine v6), proprietary HMA smoothing, and unique "Trend Shield" logic.
Open Source: The code is released under the MPL 2.0 license. Credits to the Pine community for the foundational mathematical formulas of Spearman's correlation.
Disclaimer: The statistics shown in the dashboard are simulations based on live data and do not guarantee future profits. You are responsible for your own trading decisions.
🖼 Instructions for the Publication Chart (Preview)
To ensure your script gets approved and attracts users, follow these steps for the cover image:
Symbol: Use a volatile and liquid asset, e.g., BTCUSD or XAUUSD (Gold), on a 1H or 4H timeframe.
Clean Layout: Remove all other indicators from the chart (no Moving Averages on price, no Bollinger Bands). The focus must be solely on your script in the bottom pane.
Visualization:
Ensure the Dashboard (stats table) is clearly visible and does not obscure the most recent candle.
The chart should show at least one clear BUY and one clear SELL signal, ideally with the exit icons (the "X" or flags) visible to demonstrate the exit logic.
ORB with Range Context📌 What This Indicator Does
This indicator plots the Opening Range (OR) — the high and low established during a user-defined session window at market open — and provides context on the range's significance by comparing it to recent volatility.
After the opening range session completes, the indicator displays:
• ORB High and Low as horizontal reference levels
• Optional Midline (often acts as intraday support/resistance)
• Target projections at customizable multiples when breakout occurs
• Range Quality classification (Narrow / Normal / Wide)
🔬 How It Works
Step 1: Opening Range Capture
During the session window (default: 09:15–09:20 IST for Indian markets), the indicator tracks the highest high and lowest low. These become the day's Opening Range boundaries.
Step 2: Range Quality Analysis
This is where this indicator differs from standard ORB tools. It compares today's range to the instrument's Average True Range (ATR) and classifies it:
• NARROW — Range is less than 0.5× ATR
Interpretation: Price compression. The market opened in a tight range relative to recent volatility. Compression often precedes expansion — breakouts from narrow ranges can be more directional.
• NORMAL — Range is between 0.5× and 1.2× ATR
Interpretation: Typical opening behavior. Standard breakout expectations apply.
• WIDE — Range is greater than 1.2× ATR
Interpretation: The market opened with unusual volatility — possibly due to gaps, news events, or overnight developments. Wide ranges may indicate that much of the day's move has already occurred.
Step 3: Breakout Detection
A breakout is confirmed when price closes beyond the ORB High or Low (not just wicks through). The indicator tracks the first breakout direction each day.
Step 4: Target Projection
On confirmed breakout, targets are calculated using the ORB range as the measurement unit:
• Target 1 = Breakout Level ± (Range × 1.0)
• Target 2 = Breakout Level ± (Range × 1.5)
• Target 3 = Breakout Level ± (Range × 2.0)
⚙️ Settings Guide
Opening Range Settings
• ORB Session Window — Time window for capturing the range. Default: 0915-0920 (first 5 min for NSE/BSE) or 0915-10:00(first 45 mins for NSE/BSE. US Markets: 0930-0935 or 0930-0945.
• Show Midline — Toggle the range midpoint display
Target Projection
• Target 1/2/3 (x Range) — Multipliers for profit targets. Default values (1.0, 1.5, 2.0) follow classical ORB methodology.
Range Quality Analysis
• ATR Period — Lookback for ATR calculation (default: 14)
• Narrow Threshold — Ranges below this ATR multiple are classified as narrow (default: 0.5)
• Wide Threshold — Ranges above this ATR multiple are classified as wide (default: 1.2)
📈 How to Use This Indicator
1. Apply to an intraday chart (1-min to 5-min recommended)
2. Wait for the ORB session to complete — levels appear after the time window ends
3. Check Range Quality in the info panel
4. Watch for breakout confirmation — price must close beyond ORB High or Low
5. Use projected targets for trade management
💡 Practical Tips
• Narrow Range Days: Often produce cleaner breakout trades. Tight opening suggests indecision that typically resolves directionally.
• Wide Range Days: If range exceeds 1.5× ATR, consider whether the instrument has already made its daily move.
• Midline Usage: After breakout, the midline often acts as a pullback level for re-entry or confirmation.
📊 Why Range Quality Matters
Most ORB indicators plot static levels without context. A 100-point range on NIFTY might be significant on a quiet day but trivial on a volatile day.
By normalizing against ATR, this indicator answers: "Is today's opening range tight or loose relative to what this instrument normally does?"
This helps traders:
• Calibrate profit expectations
• Assess risk appropriately
• Avoid mechanical trading without market context
🔔 Alerts Available
• ORB Bullish Breakout
• ORB Bearish Breakout
• Target 1 Hit
• Target 2 Hit
⚠️ Notes
• Works on intraday timeframes only
• Best suited for liquid instruments with defined opening sessions
• Range Quality is contextual guidance, not a standalone signal
• Always use appropriate risk management
deKoder | Structural Flow [SF]deKoder | SF | Structural Flow - Swing/Pivot Structure Charting
Strips away the noise of standard candlestick charts and reveals the true underlying swing structure through clean, connected pivot lines.
Beneath the storm of wicks / Silent structure whispers truth
Extreme Noise Reduction
Replaces cluttered price action with a minimalist pivot based line chart. The user-defined Window length lets you control sensitivity: shorter for more detail on lower timeframes, longer for cleaner structure on higher timeframes.
Accurate Swing Detection
Only stronger pivots are accepted. Weaker same side pivots are ignored, preserving the true extreme highs and lows without distortion.
Real Time Extension
The final incomplete leg dynamically follows the current close until the next confirmed pivot forms.
Optional Directional Colouring
Enable Directional Colouring to automatically colour confirmed legs with the user defined bull and bear colours on upward and downward swings.
Adjustable Background Candles
Candles with adjustable transparency may be displayed on the chart. Adjust the visibility setting to find the perfect balance between full raw candle data and clean structure
Practical Uses
Instantly reveals classic chart patterns — head & shoulders, double tops/bottoms, triangles, flags with unmistakable clarity
Becomes simple to spot Wyckoff springs, upthrusts, and phase transitions inside trading ranges
Provides a clean foundation for manual Elliott Wave counting . Clear swing structure makes labeling impulses and corrections much easier
Makes trend changes and potential reversals stand out without second-guessing every wick
Excellent for higher-timeframe structural analysis — the longer window setting produces exceptionally clean swing views
Ideal for creating clean educational screenshots and annotated posts - the chart speaks for itself
Reduces emotional noise by shifting focus from every candle to meaningful swing structure
Well suited for swing and price action traders, Wyckoff and Elliott Wave analysis, and anyone who prefers calm, uncluttered charts over constant visual chaos.
Clean charts. Clear sight.
☠ FR33FA11 | deKoder ☠
Released January 2025 | Open Source
If this open-source script (or any of its free companions) has saved you time or helped you read the market better, a coffee or a few sats helps to keep the Pine coming ❤️
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