Volume Spike Strategy This is a Pine Script implementation of “Capitalize AI: Volume Spike Strategy" by Bitcoin Trading Challenge (copied with permission).
Original Capital AI formula :
If BTC/USD 1 minute volume > BTC/USD average volume in 20-1m bar by at least 500% and if BTC/USD is below the MA (5,1m,close) of BTC/USD then buy 10,000 USD WORTH of BTC/USD
Tested on XBTUSD 1 minute.
Original strategy is buy-only. Option for sells was added (enable in settings).
First published script -- comments/feedback appreciated
Cari dalam skrip untuk "ai"
Well Rounded Moving AverageIntroduction
There are tons of filters, way to many, and some of them are redundant in the sense they produce the same results as others. The task to find an optimal filter is still a big challenge among technical analysis and engineering, a good filter is the Kalman filter who is one of the more precise filters out there. The optimal filter theorem state that : The optimal estimator has the form of a linear observer , this in short mean that an optimal filter must use measurements of the inputs and outputs, and this is what does the Kalman filter. I have tried myself to Kalman filters with more or less success as well as understanding optimality by studying Linear–quadratic–Gaussian control, i failed to get a complete understanding of those subjects but today i present a moving average filter (WRMA) constructed with all the knowledge i have in control theory and who aim to provide a very well response to market price, this mean low lag for fast decision timing and low overshoots for better precision.
Construction
An good filter must use information about its output, this is what exponential smoothing is about, simple exponential smoothing (EMA) is close to a simple moving average and can be defined as :
output = output(1) + α(input - output(1))
where α (alpha) is a smoothing constant, typically equal to 2/(Period+1) for the EMA.
This approach can be further developed by introducing more smoothing constants and output control (See double/triple exponential smoothing - alpha-beta filter) .
The moving average i propose will use only one smoothing constant, and is described as follow :
a = nz(a ) + alpha*nz(A )
b = nz(b ) + alpha*nz(B )
y = ema(a + b,p1)
A = src - y
B = src - ema(y,p2)
The filter is divided into two components a and b (more terms can add more control/effects if chosen well) , a adjust itself to the output error and is responsive while b is independent of the output and is mainly smoother, adding those components together create an output y , A is the output error and B is the error of an exponential moving average.
Comparison
There are a lot of low-lag filters out there, but the overshoots they induce in order to reduce lag is not a great effect. The first comparison is with a least square moving average, a moving average who fit a line in a price window of period length .
Lsma in blue and WRMA in red with both length = 100 . The lsma is a bit smoother but induce terrible overshoots
ZLMA in blue and WRMA in red with both length = 100 . The lag difference between each moving average is really low while VWRMA is way more precise.
Hull MA in blue and WRMA in red with both length = 100 . The Hull MA have similar overshoots than the LSMA.
Reduced overshoots moving average (ROMA) in blue and WRMA in red with both length = 100 . ROMA is an indicator i have made to reduce the overshoots of a LSMA, but at the end WRMA still reduce way more the overshoots while being smoother and having similar lag.
I have added a smoother version, just activate the extra smooth option in the indicator settings window. Here the result with length = 200 :
This result is a little bit similar to a 2 order Butterworth filter. Our filter have more overshoots which in this case could be useful to reduce the error with edges since other low pass filters tend to smooth their amplitude thus reducing edge estimation precision.
Conclusions
I have presented a well rounded filter in term of smoothness/stability and reactivity. Try to add more terms to have different results, you could maybe end up with interesting results, if its the case share them with the community :)
As for control theory i have seen neural networks integrated to Kalman flters which leaded to great accuracy, AI is everywhere and promise to be a game a changer in real time data smoothing. So i asked myself if it was possible for a neural networks to develop pinescript indicators, if yes then i could be replaced by AI ? Brrr how frightening.
Thanks for reading :)
PRO AI SUPER TREND JEETUNSE ENGINEIts super super super trend on the tradingview one of the best money making indicator
Mean Reversion [SIMI]This mean reversion indicator identifies extreme price deviations from the mean, providing high-probability reversal signals. Designed for confluence-based trading, it works best when combined with complementary indicators such as VWAP, price action, and volume analysis.
📊 Core Features
Signal Types
Prime Signals (Bright Green/Red Dots): Extreme reversions usually beyond ±1.5 SD - highest probability setups (you can customise this zone!)
Regular Signals (Dark Green/Red Dots): Standard reversions - moderate probability
Leader Line (Pink Dotted): Early warning indicator for potential reversals
Histogram Weakness: Momentum divergence signals
Normalisation Methods:
Institutional Hybrid (Z-ATR) (Recommended): Volatility-adjusted Z-score - adapts to changing market conditions
Percentile Ranking: Statistical ranking - excellent for ranging markets
PPO + ATR Hybrid: Percentage-based with volatility adjustment
Efficiency Ratio: Trend-strength weighted
ATR: Pure volatility-based
None: Raw Z-score
⚙️ Quick Setup Guide
1. Institutional Presets
Pre-configured parameter sets optimised for different timeframes:
5M Day Trading (5/21/5): Intraday scalping
1H Options Trading (6/24/5): Options-focused setups
1D Monthly Cycle (5/20/5): Swing trading
2. Signal Filtering
Prime Thresholds: Adjust ±1.5 SD to control signal quality (tighter = fewer, higher quality, adjust this zone per asset traded)
Dot Filters: Fine-tune entry zones (-0.03/+0.03 default - this ignores noisy signals near Zero line)
Volume Filter: Enable to require volume confirmation (1.4x average recommended, but fine tune yourself)
3. Advanced Filters
Dynamic SD Thresholds: Auto-adjusts for volatility regimes (tighter in low vol, wider in high vol)
Time of Day Filter: Avoids first 30 minutes, last 15 minutes, and lunch hour (11:30-13:00 EST)
💡 Trading Strategy Recommendations
Optimal Usage
This indicator is not intended as a standalone system. Use it for confluence alongside:
VWAP (institutional positioning)
Price action (support/resistance)
Options flow (institutional direction)
Volume analysis (conviction confirmation)
Signal Interpretation
Prime Signals: Wait for these for highest-probability entries - mean reversion may take hours to days
Manual Entries: Don't wait for dots - trade the ±2 SD zones directly using your own confirmation
Options Strategy: Prime sell signals at +2 SD make excellent short call setups; prime buy signals at -2 SD for long calls
Timeframe Guidance
Lower Timeframes (1M-5M): Higher noise - require additional confluence
Higher Timeframes (1H-1D): More reliable signals - suitable for options and swing trades
Best Results: Multi-timeframe analysis (check 1H and 4H alignment on 5M entries)
🔔 Alert System
Master Alert
Enable customisable alerts via the Master Alert System:
Toggle individual signal types (Prime Buy/Sell, SD Crosses, Leader, Histogram)
Receives bespoke messages with ticker, timeframe, and price
One alert condition handles all selected signals
Individual Alerts
Separate alert conditions available for Prime and Regular signals if preferred.
📈 Backtesting Notes
Important: Backtest results are date-sensitive and should not be the primary focus. Instead:
Dial in settings visually on your chosen asset
Aim for signals near actual tops and bottoms
Test different normalisation methods for your specific instrument
Optimise for signal quality, not backtest ROI
Asset Testing: Primarily developed using SPY, QQQ, and IWM as main assets to trade. Other instruments may require parameter adjustment - mess around!
Backtest Engine
Entry/Exit modes (All Signals, Prime Only, Early Signals)
Position sizing (percentage-based)
Slippage and fill method (candle close recommended)
Date range selection
⚠️ Best Practices
Always use confluence - never trade on MR signals alone
Start with Institutional Hybrid normalisation - most adaptive to market conditions
Focus on Prime signals for quality over quantity
Test on your specific asset - optimal settings vary by instrument
Longer timeframes = higher reliability - 1H+ for best results
Enable Time Filter on intraday charts to avoid volatile periods
Use Dynamic SD in highly volatile markets (earnings, FOMC, etc.)
🛠️ Troubleshooting
Too many signals: Increase Prime Thresholds or enable Volume Filter
Too few signals: Decrease Prime Thresholds or reduce Dot Filters
False signals: Enable Time of Day Filter and Dynamic SD
Signals don't align with tops/bottoms: Try different normalisation method
📝 Feedback & Development
Bug Reports: Please report any issues via TradingView comments or direct message.
Strategy Sharing: I'd love to hear how you're using this indicator and what strategies you've developed.
Open Source: Feel free to fork and modify this indicator. If you create an improved version, please share it with the community!
🙏 Acknowledgements
Developed through AI-assisted collaboration.
Special thanks to Lazy Bear for his open source MACD histogram (volume based).
Open source forever - use freely, modify, and share.
Happy Trading!
Remember: Past performance does not guarantee future results. Always manage risk appropriately.
Pandas rock \m/
ATR Levels - Current Candle Close1 of 3 scripts
I use all 3 together to "tell the story"
specifically designed for NQ to watch 4H timeframe.
code is generated by Claude AI so thats why it is free.
ATR Levels - Current Candle Open1 of 3 scripts
I use all 3 together to "tell the story"
specifically designed for NQ to watch 4H timeframe.
code is generated by Claude AI so thats why it is free.
ATR Levels - Previous Candle Open1 of 3 scripts
I use all 3 together to "tell the story"
specifically designed for NQ to watch 4H timeframe.
code is generated by Claude AI so thats why it is free.
ADX Trend Strength with DashboardA comprehensive ADX (Average Directional Index) indicator featuring an intuitive real-time dashboard that helps traders quickly assess trend strength and direction at a glance.
Key Features:
Visual Analytics:
Standard ADX line with customizable +DI/-DI directional indicators
Color-coded background zones that automatically highlight trend strength (Weak/Ranging, Emerging, Strong, Very Strong, Extreme)
Optional fill between directional indicators for clear visual trend identification
Fully customizable colors and display options
Smart Dashboard:
Real-time ADX value with color-coded strength classification
Instant trend direction indicator (Bullish/Bearish/Neutral)
Trade signal suggestions based on ADX strength and DI crossovers
DI spread analysis showing conviction strength (Strong/Moderate/Weak)
Quick reference checks for key threshold levels
Fully adjustable position, size, and transparency
Customizable Thresholds:
Default levels at 20 (Emerging), 25 (Strong), 40 (Very Strong), and 50 (Extreme)
All threshold levels are adjustable to match your trading strategy
Visual reference lines on chart
Built-in Alerts:
ADX crossing major threshold levels (25, 40, 50)
Bullish/Bearish DI crossovers when ADX confirms strong trend
Set-and-forget notifications for trend changes
Perfect for:
Scalpers and day traders needing quick trend assessment
Swing traders filtering choppy markets from trending conditions
Multi-timeframe analysis with clear visual feedback
Settings: Fully customizable ADX length (default 14), DI length (default 14), and smoothing period (default 14) to adapt to any timeframe or market.
Does this capture everything you wanted, or would you like me to adjust the tone/emphasis on certain features?Claude is AI and can make mistakes. Please double-check responses.
1M Weighted Deepsage ScreenerThis indicator applies the same core decision logic used by Deepsage AI to determine real-time market consensus on lower timeframes.
It combines multiple market dimensions into a single weighted score and classifies conditions as Strong Buy, Buy, Neutral, Sell, or Strong Sell.
All calculations are performed on the current chart timeframe (typically 1-minute), making the indicator highly responsive and well-suited for scalping and short-term market analysis.
Its purpose is not precise entries, but to reveal what the majority of signals are aligned with at any given moment.
quantyrsiThis indicator turns classic RSI into a premium, AI-styled spectro
neon ribbon with smooth color drift and a cinematic plasma glow. A
rainbow motion trail highlights momentum and makes shifts in strength
instantly readable without clutter. BIG and HUGE volume-spike events
are marked with sparse, high-contrast rings so standout activity is
impossible to miss. Clean glass-panel ambiance, subtle scanlines, and
a minimal scale deliver a professional HUD look that stays elegant on
any chart. Designed for traders who want both style and signal clarity
in one sleek oscillator.
Smart Trader, Episode 03, by Ata Sabanci, Candles and TradelinesA volume-based multi-block analysis system designed for educational purposes. This indicator helps traders understand their current market situation through aggregated block analysis, volumetric calculations, trend detection, and an AI-style narrative engine.
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DESIGN PHILOSOPHY: CLEAN CHART, RICH DASHBOARD
Traditional indicators often clutter charts with dozens of support/resistance lines, making it difficult to see price action clearly. This indicator takes a different approach:
The Chart:
Displays only the most meaningful, nearest levels (1 up, 1 down) that have not been consumed by price. This keeps your chart clean and focused on what matters right now.
The Dashboard:
Contains all detailed metrics, calculations, and analysis. Instead of drawing 20 lines on your chart, you get comprehensive data in an organized table format.
Why this approach?
• A clean chart allows you to see price action without visual noise
• Fewer but more meaningful levels help focus attention on immediate reference points
• The dashboard provides depth without sacrificing chart clarity
• Beginners can learn chart reading with an uncluttered view while accessing detailed analysis when needed
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1. BLOCK SEGMENTATION
What it does:
Divides the analysis window into fixed-size blocks. Each block contains multiple bars that are analyzed as a single unit.
Why:
Individual bars contain noise. A single red candle in an uptrend might cause unnecessary concern, but when you view 5-10 bars as one block, the overall direction becomes clear. Block segmentation filters out bar-to-bar noise and reveals the underlying structure.
Benefit:
• Clearer view of market structure at a higher aggregation level
• Enables comparison between time periods (Block 1 vs Block 2 vs Block 3)
• Creates the foundation for composite candles and trend detection
• Reduces emotional reaction to single-bar movements
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2. COMPOSITE CANDLES (FRACTAL CONCEPT)
What it does:
Each block generates a "ghost candle" representing aggregated OHLC:
• Open: First bar's open in the block
• High: Highest high across all bars in the block
• Low: Lowest low across all bars in the block
• Close: Last bar's close in the block
Why:
This is essentially a FRACTAL view of the market. The same candlestick patterns that appear on a daily chart also appear on hourly charts, and on 5-minute charts. By aggregating bars into composite candles, you create a synthetic higher timeframe view without changing your actual timeframe.
Benefit:
• See higher timeframe patterns while staying on your preferred timeframe
• Identify block-level candlestick patterns (Doji, Hammer, Marubozu, Engulfing, etc.)
• Compare composite candle relationships: Does Block 1 engulf Block 2? Is Block 1 an inside bar relative to Block 2?
• Recognize patterns that individual bars obscure due to noise
Fractal Nature:
A hammer pattern means the same thing whether it appears on a 1-minute chart or a weekly chart: price tested lower levels and was rejected. Composite candles let you see these patterns at your chosen aggregation level, providing a multi-scale view of market behavior.
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3. VOLUME ENGINE
What it does:
This indicator is 100% VOLUME-BASED. It separates total volume into buying volume and selling volume using two methods:
Method 1 - Geometric (Approximation):
• Buy Volume = Total Volume × ((Close - Low) / Range)
• Sell Volume = Total Volume × ((High - Close) / Range)
Method 2 - Intrabar LTF (Precise):
Uses actual tick-level or lower timeframe data to determine real buy/sell distribution.
Why:
Raw volume tells you HOW MUCH was traded, but not WHO was aggressive. A large volume bar could mean heavy buying, heavy selling, or both. By separating buy and sell volume, you can identify which side is driving the market.
Benefit:
• Identify whether buyers or sellers are more aggressive
• Detect when volume contradicts price direction (divergence)
• Measure accumulation (buying into weakness) vs distribution (selling into strength)
• Quantify the delta (buy minus sell) to see net pressure
Why Delta Matters:
If price is rising but delta is negative, sellers are actually more aggressive despite the price increase. This divergence often precedes reversals because the price movement lacks volume confirmation.
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4. PIN ANALYSIS (WICK MEASUREMENT)
What it does:
Calculates average upper pin (wick) and lower pin sizes for each block, then tracks how these change across consecutive blocks.
Why:
Upper pins represent price levels that were tested but rejected by sellers. Lower pins represent price levels that were tested but rejected by buyers. The size and direction of pins reveal rejection strength at specific price zones.
Benefit:
• Large upper pins = strong selling pressure at higher levels
• Large lower pins = strong buying support at lower levels
• Increasing upper pins across blocks = intensifying selling pressure
• Decreasing lower pins across blocks = weakening buying support
Why Track Pin Changes:
Pin behavior often changes before price direction changes. If lower pins are shrinking while price is still rising, the buying support that was defending dips is weakening. This is observable data, not prediction.
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5. TREND CHANNEL DETECTION
What it does:
Identifies trend direction using block-level price structure:
• UPTREND: Block highs are higher than previous block highs, AND block lows are higher than previous block lows (HH/HL pattern)
• DOWNTREND: Block highs are lower than previous block highs, AND block lows are lower than previous block lows (LH/LL pattern)
• RANGE: No consistent directional pattern
Once detected, the system draws upper and lower channel boundaries by connecting extreme points within each trend segment.
Why:
HH/HL and LH/LL are the classical definitions of trend. By applying this logic to composite candles (blocks) rather than individual bars, the trend detection becomes more stable and less prone to whipsaws from single-bar noise.
Benefit:
• Clear visual boundaries showing the current trend channel
• Upper channel line = dynamic resistance based on actual price structure
• Lower channel line = dynamic support based on actual price structure
• Channel angle indicates trend strength (steeper = stronger)
• Channel width indicates volatility
Why Lock Trend States:
Once a block's trend classification is determined, it locks and does not change on subsequent recalculations. Without locking, the same block could flip between UP and DOWN repeatedly, creating inconsistent analysis. Locking ensures stability.
Why Project Lines Forward:
Channel lines can be projected into the future to show where support/resistance would be if the current trend continues at the same angle. This is not a prediction; it is a visual reference showing the trend's trajectory.
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6. CORE LEVELS: POC, MAX BUY, MAX SELL
What it does:
Identifies key price levels within each block based on volume data:
POC (Point of Control):
The price level where the highest total volume occurred within the block.
MAX BUY Level:
The bar with the highest buying volume. The HIGH of this bar marks the level.
MAX SELL Level:
The bar with the highest selling volume. The LOW of this bar marks the level.
MIN BUY/SELL Levels:
Optional levels showing where minimum buy/sell volume occurred.
Why:
High volume at a specific price means many participants entered positions there. These participants have a vested interest in that price level. If price returns to that area, those same participants may act to defend their positions.
Benefit:
• POC acts as a volume-based magnet; price tends to revisit high-volume areas
• MAX BUY level shows where buyers committed most aggressively
• MAX SELL level shows where sellers committed most aggressively
• These levels are based on actual transaction data, not arbitrary calculations
Why Consumed Levels Disappear:
When price crosses through a level, that level has been "tested." Keeping consumed levels on the chart creates visual clutter and suggests they are still relevant when they may no longer be. Removing them keeps focus on levels that have not yet been tested.
Why Show Only Nearest Levels:
If you have 20 blocks, you could have 60+ potential levels (POC, MAX BUY, MAX SELL for each). Displaying all of them makes the chart unreadable. Showing only the nearest untested level above and below current price keeps the chart clean while providing immediate reference points.
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7. QUALITY SCORE AND TREND INTELLIGENCE
What it does:
Calculates a quality score (0-100) for the current trend based on multiple factors:
• Angle steepness (stronger trends have steeper angles)
• Delta consistency (does volume support the trend direction?)
• Volume momentum (is participation increasing or decreasing?)
• Body expansion (are candle bodies growing or shrinking?)
• Pin alignment (do pins support the trend direction?)
• Contradiction count (how many factors disagree?)
Why:
Not all trends are equal. A trend with consistent volume support, expanding bodies, and aligned pins is healthier than a trend with contradicting signals. The quality score quantifies this.
Benefit:
• HIGH quality (80+): Multiple factors confirm the trend
• MEDIUM quality (60-79): Some factors confirm, some neutral
• LOW quality (below 60): Multiple contradictions exist
• Strength rating based on channel angle: VERY STRONG, STRONG, MODERATE, WEAK
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8. NARRATIVE ENGINE
What it does:
Generates a text-based market analysis by synthesizing all calculated data into readable sentences.
How it works:
1. Analyzes current candle: pattern type (Doji, Hammer, Marubozu, etc.), body/wick ratios, range vs ATR
2. Analyzes composite candle: Block 1 pattern and relationship to Block 2 (Engulfing, Inside, Outside)
3. Evaluates trend context: direction, duration, quality, transitions
4. Examines volume data: delta, dominance, momentum direction
5. Checks proximity to key levels: channel boundaries, POC, core levels
6. Identifies divergences: when price and volume directions contradict
7. Produces a coherent narrative describing the current situation
Why:
Numbers and charts require interpretation. The narrative engine translates calculated data into plain language, helping traders understand what the data means in context. This is especially valuable for beginners learning to read charts.
Benefit:
• Synthesizes multiple data points into a coherent story
• Explicitly flags divergences and contradictions
• Describes the current situation without making predictions
• Educational: shows how different factors relate to each other
What the Narrative Does NOT Do:
The narrative describes what IS, not what WILL BE. It does not predict future price movement. It reports the current candle pattern, the current trend state, the current volume situation, and the current proximity to levels.
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9. SMART DASHBOARD
What it does:
Displays all metrics in an organized table with multiple sections.
Sections:
• Volume Engine: Calculation method, data availability, current candle buy/sell/delta
• Trend Volumetrics: Aggregated buy/sell/delta across the current trend, trend type
• Pressure and Momentum: Average pins, pin change percentages, body expansion status
• Trend Channel Boundaries: Upper/lower levels with exact prices, distances, percentages
• Trend Intelligence: Quality score, confidence level, strength rating, volume momentum
Why:
All the detailed calculations need to live somewhere without cluttering the chart. The dashboard provides comprehensive data in a structured format.
Benefit:
• All metrics in one place
• Organized by category for easy reference
• Hover over any label to see a tooltip explaining that metric
• No need to draw dozens of lines on the chart
TIP: Hover over dashboard headers and labels to see tooltips explaining each metric.
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10. LANGUAGE SUPPORT
The indicator supports three languages:
• English
• Türkçe (Turkish)
• हिन्दी (Hindi)
Why only three languages?
Each additional language requires duplicate strings throughout the code, increasing memory usage and compilation time. To keep the script optimized and responsive, language options are limited to these three.
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11. DATA ACCURACY AND LIMITATIONS
This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations.
DATA ACCURACY LEVELS:
• 1T (Tick): Most accurate, real volume distribution per tick
• 1S (1 Second): Reasonably accurate approximation
• 15S (15 Seconds): Good approximation, longer historical data available
• 1M (1 Minute): Rough approximation, maximum historical data range
BACKTEST AND REPLAY LIMITATIONS:
• Replay mode results may differ from live trading due to data availability
• For longer backtest periods, use higher LTF settings (15S or 1M)
• Not all symbols/exchanges support tick-level data
• Crypto and Forex typically have better LTF data availability than stocks
A NOTE ON DATA ACCESS:
Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable calculations.
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12. SETTINGS OVERVIEW
Main Settings:
• Window Bars: Total bars to analyze
• Group Count: Number of blocks to create
• Calculation Basis: Current bar (live updates) or Closed bar (stable, no repaint)
Block Analytics:
• Show Composite Candle: Toggle ghost candles on/off
• Composite Candle Transparency: Adjust visibility
• Dim Original Candles: Fade original candles when composites are shown
Volume Engine:
• Calculation Method: Geometric (approx) or Intrabar (precise)
• Lower Timeframe: Select LTF for intrabar calculations
Multi-Segment Trend:
• Enable Trend Detection: Toggle trend channels on/off
• Range Angle Threshold: Angle below which trend is classified as RANGE
• Line colors, width, and style
• Project to Future: Extend trend lines forward
Core Calculation:
• Enable Core Calculation: Toggle POC and core levels
• Show POC Nearest Up/Down: Display nearest untested POC levels
• Include MAX/MIN Buy/Sell Levels: Toggle extremes display
• Nearest Only: Show only the closest level above and below price
Market Narrative:
• Enable Market Narrative: Toggle narrative text
• Language selection
• Show Educational Disclaimer: Toggle disclaimer in dashboard
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EDUCATIONAL PURPOSE
This indicator is designed to help traders:
1. Understand their current market situation at a glance
2. Learn chart reading through block analysis and composite candles
3. See how volume relates to price movement
4. Recognize when technical factors align or contradict
5. Focus on meaningful levels without chart clutter
Whether you are a beginner learning to read charts or an experienced trader seeking a cleaner analytical view, this tool provides structured data to support your analysis.
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IMPORTANT DISCLAIMER
This indicator is for EDUCATIONAL PURPOSES ONLY and does not constitute investment advice. Always conduct your own research and consult with a qualified financial advisor before making investment decisions.
This disclaimer is also displayed within the indicator itself. If you prefer a cleaner chart, you can disable it in Settings under Market Narrative by unchecking Show Educational Disclaimer.
Neeson Crypto Cycle - Super Enhanced EditionThe "Neeson Crypto Cycle - Super Enhanced Edition": A Philosophical and Practical Framework for Market Analysis
Originality & Core Philosophy
Most trading indicators focus on a single domain: pure price action, a specific economic theory, or a handful of technical oscillators. The "Neeson Crypto Cycle" breaks this paradigm. Its fundamental originality lies not in inventing one new mathematical formula, but in architecting a multi-dimensional, multi-timeframe convergence framework. It operates on a core philosophical premise: financial markets are Complex Adaptive Systems (CAS) influenced by a symphony of concurrent cycles. These cycles range from mathematical and technical ones visible on the chart, to fundamental economic rhythms, down to collective human psychology and even speculative meta-patterns.
The script is built as a "dashboard of dashboards," attempting to quantify and visualize these disparate layers on a single pane. It does not claim predictive certainty but aims to provide a holistic situational awareness, allowing the trader to identify when multiple, unrelated cycles from different domains align (convergence) or conflict (divergence).
What It Does & How It Achieves It
The indicator functions as a comprehensive market-phase and sentiment analysis engine implemented directly on the TradingView chart. It is an overlay indicator that provides visual plots, background coloring, signal labels, and, most notably, extensive multi-table data panels.
Its implementation can be broken down into several operational layers:
1. The Core Technical Cycle Layer:
This is the foundational price-based engine. It simultaneously tracks multiple proprietary cyclical models derived from moving average crossovers with non-standard periods believed to capture crypto-specific rhythms.
CCT Pi Cycle: Uses the interaction between a 150-period EMA / 471-period SMA pair (for "bottom" identification) and a 111-period SMA / (350-period SMA * 2) pair (for "top" identification). It identifies golden/death crosses within these specific pairs.
Atlantean Signals: A variant using similar periods (471, 150, 350, 111) but with different multipliers (e.g., 0.745) and crossover logic to define "Market Bottom," "Bull Market Start," and "Market Top" events.
Bitcoin Cycle: Based on the interaction between a 116-period SMA and a doubled 365-period SMA.
Golden Pi Cycle: Another variant using SMAs of 111, 350, 150, and 471 periods.
These are not just four random moving average systems; they are distinct models targeting different aspects of the purported "Pi-based" and long-term cyclicality in Bitcoin's price history. The script visually plots these lines and labels their crossover events.
2. The Market Phase & Structural Context Layer:
Background Coloring: It dynamically colors the chart background (blue for "Bottom to Top" phase, orange for "Top to Bottom" phase) based on the sequential logic of Atlantean signals, providing immediate visual context for the perceived market regime.
Halving Event Annotations: It marks key historical and projected Bitcoin halving dates with vertical lines and labels, anchoring price action to this fundamental supply schedule.
3. The Quantitative Dashboard Layer (Technical & On-Chain):
This is where the script transitions from chart plotting to an information system. It renders multiple fixed tables on the chart (bottom-left, bottom-center, bottom-right) only on the last bar.
Technical Sentiment Dashboard (Right): A massive table aggregating over a dozen classic and advanced technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, Ichimoku, Parabolic SAR, Fibonacci levels, etc.). For each, it shows a calculated Status (e.g., "Overbought"), a numeric Value, and a concise Advice (e.g., "Sell"). It then groups these into "Cycle Indicators" (status of the core models above) and "Risk Management" metrics (Max Drawdown, Sharpe Ratio simulation, volatility).
Synthetic On-Chain Metrics Dashboard (Center): Since TradingView cannot pull real on-chain data, the script ingeniously simulates 80 different on-chain metrics (NVT, MVRV, Hash Rate, Exchange Flows, HODL Waves, S2F, etc.) by deriving them from price and volume data. Each metric displays a name, a simulated value, a signal ("Overvalued"), and a color code. This provides a proxy for the fundamental/network health narrative.
Multi-Cycle Systems Dashboard (Left): This table transcends traditional finance, cataloging the status of various long-wave cycles:
Economic Cycles: Kondratieff (50-60yr), Kuznets (15-25yr), Juglar (7-11yr), Kitchin (3-5yr), etc., each with a hardcoded current phase (e.g., "Recession (2020-2030)"), impact, and advice.
Speculative & Novel Cycles: Lunar, Seasonal, Commodity Super, Debt, and Innovation cycles.
Esoteric Systems: A full celestial (astrological) positioning of planets and a Four Pillars of Destiny (Bazi) reading, each with assigned market "impact" and "advice."
4. The Synthesis & Alert Layer:
Comprehensive Statistics: The right dashboard concludes with a tally of "Bullish vs. Bearish Signals" from across all technical and cycle indicators, generating an "Overall Sentiment" score.
Alert System: It creates TradingView alert conditions for every major crossover event from the core cycle models (CCT, Atlantean, Bitcoin, Golden Pi), allowing for automated notifications.
Underlying Calculation Logic & Rationale
The logic is built on convergence and weighted evidence. The creator's hypothesis appears to be that significant market turning points are rarely signaled by one indicator in isolation. Instead, they occur when:
Multiple Price-Based Cycle Models Align: When the CCT, Atlantean, and Bitcoin cycles all approach a "bottom" or "top" signal near the same time, the probability of a true phase change is considered higher.
Technical Conditions Match the Cycle Phase: A "Bull Market Start" signal is more credible if accompanied by oversold RSI/Stochastic, bullish MACD, and money flowing in (rising OBV).
The Macro Backdrop Supports the Narrative: The script hardcodes a specific macroeconomic worldview (e.g., "Tightening Credit Cycle," "AI Revolution Tech Cycle") to remind the user of the broader environment the price cycles are operating within.
Awareness of "Non-Rational" Drivers: By including astrological and Bazi elements, the script acknowledges that market narratives and crowd psychology can sometimes be influenced by or framed within these non-traditional systems. It doesn't necessarily predict with them but tracks them as potential sentiment catalysts.
The calculations for technical indicators are standard. The novelty is in their collective presentation and the synthetic creation of supporting data realms (on-chain, economic, esoteric) to form a complete, albeit highly speculative, "universe" of market-influencing factors.
How to Use It: A Practical Guide
This is not a "set and forget" system that generates simple buy/sell arrows. It is a decision-support and research tool.
Market Phase Identification: First, look at the background color and the status of the core cycle models in the right dashboard. Are you in a blue "Bottom to Top" phase? Check if the Atlantean "Bull Market Start" is active. This sets your primary bias.
Seeking Convergent Signals: Before acting on a cycle signal, cross-reference it with the Technical Sentiment dashboard. For example, an Atlantean "Market Top" signal is stronger if the RSI and Stochastic also show "Overbought," the MACD is "Bearish," and the Fear & Greed Index is in "Extreme Greed." Look for clusters of agreement.
Context from Other Dimensions: Check the On-Chain dashboard. Does the synthetic data suggest the network is "Overheated" or "Undervalued"? Check the Economic Cycle table. Does the perceived long-wave phase (e.g., "Kondratieff Recession") support a risk-on or risk-off stance? This provides narrative context for your trade thesis.
Risk Management Integration: Before sizing a position, check the Risk Management section. What is the current "Max Drawdown" and "Volatility Risk"? The dashboard suggests position sizing ("Light," "Medium," "Heavy") based on this.
Utilizing Alerts: Set alerts for the key cycle crossovers (CCT, Atlantean, etc.). When an alert triggers, it's your cue to open the chart and perform the full multi-dimensional convergence analysis described above, rather than acting on the alert alone.
In essence, the "Neeson Crypto Cycle" is a conceptual trading terminal. It posits that the modern trader, especially in crypto, must synthesize information from technicals, fundamentals, macroeconomics, and market psychology. By attempting to model all these facets in one place—even through estimation and simulation—it aims to give the user a structured framework for asking the right questions about the current state of the market, rather than providing simplistic, one-dimensional answers. Its value is in the breadth of its perspective and the discipline of multi-factor confirmation it encourages.
Stoic Edge POI HHLL TrZo MA V3For Stoic Traders at StoicEdge.com by @Lobo-Trader © Pineify Claude (Pineify AI) assisted in writing this code"
(5M) REG SuperTrend Pullback SystemThis indicator implements a rule-based SuperTrend pullback system
designed for short-term trend continuation.
Core features:
• Regression-based SuperTrend with flip detection
• Pullback + reclaim entry logic (non-repainting, bar-close confirmed)
• Regime filter (Trend vs Range suppression)
• Exhaustion detection to avoid late entries
• ADX + EMA bias alignment
• USDT Dominance risk filter (risk-on / risk-off)
• Clear BUY / SELL and Pullback AI-style entry labels
This is NOT a trading bot and does NOT place orders.
All signals are for analytical and educational purposes only.
Infinity Trader TDSTDS – Trend Direction Structure Strategy
TDS (Trend Direction Structure) is a rule-based trading strategy that focuses on market structure and directional bias to identify high-probability trade setups.
The strategy is designed to trade only in the direction of the confirmed trend, reducing false entries and improving consistency.
🔹 Core Principle
Markets move in trends and structures.
TDS identifies:
Current trend direction
Internal structure continuations
Confirmed trend reversals
Trades are executed only when structure and direction align.
🔹 Trend Classification
Buy Trend – Higher highs and higher lows
Sell Trend – Lower highs and lower lows
🔹 Structure Signals Used
Internal Continuation
ICB (Internal Continuation Buy)
Entry during pullback in a buy trend
ICS (Internal Continuation Sell)
Entry during pullback in a sell trend
Internal Change of Trend
iCBT – Early change to buy trend
iCST – Early change to sell trend
External Change of Trend
CBT – Confirmed buy trend reversal
CST – Confirmed sell trend reversal
🔹 Entry Logic
Trade only after structure confirmation
Entries occur on pullbacks or continuation zones
Avoid ranging and low-momentum markets
🔹 Risk Management
Structure-based Stop Loss
Fixed or dynamic Take Profit
Risk-to-Reward ratio typically 1:2 or higher
🔹 Best Suitable For
Forex (major pairs like EUR/USD)
Intraday & swing trading
Manual trading and AI/robot automation
🔹 Objective
TDS aims to deliver consistent profits, controlled drawdowns, and disciplined execution by following trend direction and market structure.
SA Trump Volatility Pattern Wick + Volume Shock ReversalDisclaimer (read first)
Educational use only — not financial advice. This script does not provide entries/exits, targets, position sizing, or profit guarantees. Trading (especially options/futures) involves substantial risk and can result in loss of principal (and more for leveraged products). Use at your own discretion.
Best use cases on the 2-Hour timeframe
On 2H, this script becomes a high-signal-quality “shock reversal” detector instead of a noisy candle toy. You’re essentially filtering for:
Large wick rejection
Small real body
Statistically unusual volume (Z-score > threshold)
Context alignment (trend filter + prior bar direction + optional RSI)
What 2H is best for
1) Detecting “event shock” reversals
2H bars often capture:
Macro headlines
Fed commentary
earnings reactions (for equities)
sudden volatility expansions
When the script fires on 2H, it often means:
“Aggressive push happened, liquidity got rejected, and participation was unusually high.”
That’s a structural clue, not a trade instruction.
2) Filtering false breakouts / breakdowns
The wick requirement is basically “failed continuation.”
On 2H, this is powerful around:
prior day highs/lows
weekly pivots
obvious consolidation edges
key moving averages (fast SMA / slow SMA gate)
Bull pattern = flush + reclaim behavior.
Bear pattern = pop + rejection behavior.
3) Options traders: timing “premium exposure windows”
On 2H, this is great for options traders who want to avoid buying premium into a fake move.
BullTrump on 2H can be used as a “don’t chase puts / be cautious short” context shift.
BearTrump on 2H can be used as a “don’t chase calls / be cautious long” context shift.
It’s a “regime hint” for the next few sessions, not a one-bar command.
4) Futures traders: rotation vs continuation framework
A 2H “Trump Candle” often marks:
the end of a liquidation leg
a stop-run / squeeze peak
a pivot moment where the market shifts from impulse to balance
Use it to decide whether you’re in:
continuation mode (trend carries)
or rotation mode (mean-reversion / two-way)
How to use it (2H workflow)
Step A — Keep it strict at first
Recommended defaults for 2H:
wickFracThreshold: 0.40–0.55
bodyMaxFrac: 0.35–0.45
volZThresh: 1.0–1.5
useRSIFilter: ON
RSI bull min / bear max: 45 / 55 (good baseline)
Step B — Treat triggers as “context events”
When it prints, ask 3 questions:
Where did it happen? (key level or random spot)
Was it aligned with trend gate? (SMA fast/slow)
Did volume Z-score spike? (true shock vs normal wick)
Higher quality triggers happen when:
the wick pierces a known level (prior swing / range edge)
and the close re-enters the range
and volume Z-score is meaningfully positive
Step C — Confirm with the next 1–2 candles (optional)
On 2H, it’s reasonable to wait for:
a follow-through close
or a hold above/below fast SMA
or a second “acceptance” candle
You can do this manually without changing code.
Other recommended timeframes (best to worst)
✅ 4H (even cleaner, fewer signals)
Use for:
swing context
multi-day pivots
big reversal points
✅ 1H (more signals, still structured)
Use for:
intraday + overnight context
day-trade bias shifts
✅ 30m (for active traders)
Use for:
tighter responsiveness
more setups
But requires more discretion; noise increases.
⚠️ 15m and below (only if you increase strictness)
If you want to run it on 5m/15m:
raise volZThresh (ex: 1.5–2.0)
raise wickFracThreshold (ex: 0.50–0.65)
lower bodyMaxFrac (ex: 0.25–0.35)
Otherwise it will trigger too often.
Best markets for this script
Works best on:
Index futures: /NQ, /ES (big volume makes Z-score meaningful)
Liquid ETFs: SPY, QQQ
High-volume large caps (AAPL, MSFT, NVDA etc.)
Less reliable on:
thin small caps (volume Z-score gets weird)
low-volume premarket candles
illiquid options underlyings
Signal Inside the Script ✅ SA ZoneEngine Bias Filtered is a market-structure bias and confirmation tool designed for futures To request access: 👉 Purchase here: trianchor.gumroad.com
Best GBT for this indicator
chatgpt.com
chatgpt.com
chatgpt.com
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.
MEGA Sector Rotation CRYPTOCAP - 8 Narrativas (Optimized Daily)### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
ML-Inspired Adaptive Momentum Strategy (TradingView v6)This strategy demonstrates an adaptive momentum approach using volatility-normalized trend strength. It is designed for educational and analytical purposes and uses deterministic, fully transparent logic compatible with Pine Script v6.
ML-Inspired Concept (Educational Context)
Pine Script cannot train or execute real machine-learning models.
Instead, this strategy demonstrates ML-style thinking by:
Converting price data into features
Normalizing features to account for volatility differences
Producing a bounded confidence score
Applying thresholds for decision making
This is not predictive AI and does not claim forecasting capability.
Strategy Logic
EMA is used to measure directional bias
EMA slope represents momentum change
ATR normalizes the slope (feature scaling)
A clamped score between −1 and +1 is generated
Trades trigger only when the score exceeds defined thresholds
Risk & Execution
Position size capped at 5% equity
Commission and slippage included for realistic testing
Signals are calculated on closed bars only
Purpose
This script is intended to help traders explore adaptive momentum concepts and understand how feature normalization can be applied in systematic trading strategies.
[codapro] Confirmed Supertrend Flags
Confirmed Supertrend Flags — Delayed Flip Confirmation
Description:
This script enhances the classic Supertrend by adding a confirmation delay after trend flips, helping traders filter noise and avoid premature entries in volatile environments.
Key Features:
ATR-based Supertrend stop level calculation
Confirmation logic: buy/sell flags appear only after N full bars confirm the new direction
Optional Supertrend stop line for visual tracking
Fully adjustable flag size, color, label, and placement
This is ideal for swing traders, trend followers, or anyone building a system that prefers confirmation over early guessing.
How It Works:
A trend flip is detected when price closes beyond the Supertrend stop level.
The indicator waits for a set number of bars to close in the new direction.
After confirmation, a visual flag is plotted: buy below bar, short above bar.
How to Extend with Risk Management:
While this script focuses on trend confirmation visualization, you can enhance your decision-making by combining it with risk rules:
Stop Loss: Set SL just beyond the last Supertrend level before confirmation
ATR-Based Sizing: Use the same ATR value to dynamically size your position based on volatility
Fixed % Rule: Risk a fixed % of capital per confirmed flip (e.g., 1–2%)
Time-Based Exit: Exit trades that don’t follow through within N bars post confirmation
Stack with Strategy: Use this confirmation logic to trigger entries in a separate strategy script where strategy.entry() and strategy.exit() can be defined with precise risk parameters
Want a full example of how to integrate that? Let me know and I’ll turn this into a plug-and-play strategy version.
Disclaimer:
This tool was developed as part of the codapro AI engine — a modular signal and automation layer for trading systems.
It is for educational and informational purposes only and is not financial advice. Always backtest and verify before live deployment.
MEGA Sector Rotation CRYPTOCAP - 7 Narrativas 1 H### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
MEGA Sector Rotation CRYPTOCAP - 7 Narrativas 5m### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
5 Layer Script P5 ICT Identifier Package (Sessions + Narrative)This script is a session-based market narrative framework designed to help traders understand where price is likely seeking liquidity and alignment, rather than focusing on isolated entries.
This script mainly identifies and labels the Asia, London, and New York trading sessions, providing structure for how price behavior evolves throughout the day. It is intended to be used as a context and timing tool.
How it works
-Automatically maps Asia, London, and New York sessions
-Highlights session ranges and transitions
-Helps visualize accumulation, expansion, and distribution phases
-No repainting once a session is completed
How to use it
-Use Asia to observe range formation and liquidity build-up
-Use London for expansion, manipulation, or early continuation
-Use New York for confirmation, continuation, or reversal (IMPORTANT)
-Align session behavior with:
Higher-timeframe bias
Midpoint equilibrium levels
Fair Value Gaps
Signal or Potential Reversal confirmations
Best practices
-Avoid treating sessions as directional signals
-Focus on session objectives, not candle patterns
-Most effective on futures, indices, and liquid FX pairs
-Works best when combined with higher-timeframe structure
This package is intentionally narrative-driven and non-mechanical, allowing traders to frame intraday price action within a repeatable session logic rather than reactive decision-making.
ADDITIONAL: If youve made it this far i will tell you a cheat code to this specific script. Once you alligned your standard time for the sessions you will notice that if you set the sessions to close properly i recommend asking Chatgpt or any other AI tool, you will notice that the sessions end a few hours earlier for NY. You should see a label pop up for the NY just like the Asia and London session. That signal will tell you the next potential move only if you utilize the ICT killzones cheatsheet, easy to find on google images and I will attach it here if possible. its definetly mixed up but thats just market structure, only one you should pay attention to take a trade is the end of the NY session if adjusted properly. over 90% success rate following this strategy. I will add the link for the full cheat sheet below
www.scribd.com
