3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)
Penunjuk dan strategi
VWAP Tension Bands + Osc Sigma Gap [MAXmks]Hello Traders,
This indicator started as an accident. I was building a different tool — a multi-metric dashboard — and added VWAP deviation as one of the components. I expected it to help catch falling knives. It didn't.
But I noticed something else. During cooling-off periods — when volatility fades and price just sits there, not really going anywhere — VWAP deviation on lower timeframes would start climbing quietly. And more often than not, a pullback followed. Sometimes a liquidity sweep first, then a pullback. I watched this pattern for months before deciding to build a dedicated tool around it, adding oscillator confirmation to filter the noise.
This is that tool.
The core idea
Markets act like a rubber band around VWAP — the further price stretches, the higher the tension. But raw deviation isn't enough. The real question: is momentum confirming the stretch, or lagging behind?
The σ-Gap captures when these two disagree — price pushed hard, but internals haven't caught up. That's where mean-reversion setups tend to appear.
The indicator tracks VWAP deviation across 2m / 5m / 15m simultaneously and compares it against a composite of momentum oscillators (Williams %R, CVD-based metrics). Signals require multi-timeframe consensus — no single timeframe can trigger alone.
Adaptive thresholds
What counts as "extreme" isn't fixed. Distance is measured in standard deviations (σ) , not pips or percentages — so the indicator adapts to volatility automatically. Thresholds scale with regime and historical distribution, adjusting to current market conditions in real time.
Two modes
Standard — adaptive thresholds, more signals. Good for active sessions and exploration.
High Precision — adds divergence confirmation from multiple oscillators (MFI, Delta RSI, CVD Z-Score). Fewer signals, higher selectivity.
Extreme Tension
When σ-Gap exceeds 1.6× the threshold, the indicator can fire without full confirmation. Rare, but these are the "overstretched" moments worth watching.
Filters (so you don't trade ghosts)
RVOL filter blocks signals during low activity. Session close filter avoids entries near VWAP reset. 24h volume filter skips illiquid instruments. Cooldown prevents signal clustering in the same direction.
Best use case
Built for short-term mean-reversion — quick snapback plays on 5m–15m charts where price overextends and reverts within a few candles. The engine is optimized for this rhythm, not for trend-following or swings.
On-chart
Tension Bands show dynamic threshold zones around VWAP. Signals are non-repainting and confirmed on bar close. Compact HUD displays all metrics, filter states, and signal status in real time.
Alerts
Pre-signal alerts when conditions start forming. Confirmed signal alerts with full breakdown: VWAP deviation values, σ-Gap readings, divergences detected, current mode.
Volume matters
This is a VWAP-based indicator. No volume data = no signal. If your instrument shows "No Volume" in the dashboard, switch to a data feed that provides it (crypto spot, futures, stocks with real volume).
A note on expectations
I use this logic in my own research and it has shown useful results for me in my backtesting scenarios. But this is an indicator for analysis , not a magic button. Your execution, fees, slippage, and market regime all matter. Treat signals as context, not commands. DYOR.
Feedback welcome.
For educational and analysis purposes only. Not financial advice.
ICT Opening Gap Strategy [Momentum1]Momentum strategy taken off the close of the first candle after the NDOG/NWOG. Built with Gemini.
ICT Gap Retest Strategy [Custom Exits]Gap Retest Strategy with customizable exit conditions and two adjustable trade windows. Enters on the candle following a retest and exit of the NDOG/NWOG. Written with Gemini.
Flexible Moving Average SuiteFlexible Moving Average Suite is a customizable moving average indicator that allows traders to configure up to 4 independent moving average lines with full control over calculation method, period, source, color, and line width.
Key Features:
Dual Calculation Methods: Choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA) for each line independently
Full Customization: Adjust period length (1-∞), data source (close, open, high, low, etc.), color, and line width for each MA
Individual Toggle Controls: Show or hide each moving average line as needed
Default Configuration: Pre-configured with commonly used Fibonacci-based periods (5, 13, 21, 34) for quick start
Clean Visualization: Professional color scheme with distinct colors for easy identification
How to Use:
Add the indicator to your chart
Open Settings → "均线系统设置" (Moving Average Settings)
For each MA line (MA1-MA4):
Toggle visibility on/off
Select calculation type (SMA/EMA)
Choose data source (default: close)
Set period length
Adjust line width
Pick your preferred color
Click "OK" to apply changes
Best Practices:
Use multiple timeframes to identify trend alignment
Shorter periods (5-13) respond quickly to price changes, suitable for entry signals
Longer periods (21-34+) help identify major trend direction
Color-code your MAs consistently across charts for better visual recognition
Combine with price action and volume for confirmation
Technical Details:
Written in Pine Script v6
Overlay indicator (displays on price chart)
Lightweight and efficient
Open source under Mozilla Public License 2.0
No repainting
Default Settings:
MA1: EMA(5) - Yellow (#f6c309)
MA2: EMA(13) - Orange (#fb9800)
MA3: EMA(21) - Deep Orange (#fb6500)
MA4: EMA(34) - Red (#f60c0c)
This indicator is ideal for traders who need a simple, reliable, and highly customizable moving average solution without unnecessary complexity.
中文说明 (Chinese Description)
灵活均线系统 是一个可定制的移动平均线指标，允许交易者配置最多4条独立的移动平均线，并完全控制计算方法、周期、数据源、颜色和线宽。
主要特点：
双重计算方法： 每条线可独立选择简单移动平均线（SMA）或指数移动平均线（EMA）
完全自定义： 为每条MA调整周期长度（1-∞）、数据源（收盘、开盘、最高、最低等）、颜色和线宽
独立开关控制： 根据需要显示或隐藏每条移动平均线
默认配置： 预配置常用的斐波那契周期（5、13、21、34）以便快速开始
清晰可视化： 专业配色方案，不同颜色便于识别
使用方法：
将指标添加到图表
打开设置 → "均线系统设置"
对于每条MA线（MA1-MA4）：
切换显示/隐藏
选择计算类型（SMA/EMA）
选择数据源（默认：收盘价）
设置周期长度
调整线宽
选择您喜欢的颜色
点击"确定"应用更改
最佳实践：
使用多个时间周期识别趋势一致性
较短周期（5-13）快速响应价格变化，适合入场信号
较长周期（21-34+）帮助识别主要趋势方向
在不同图表上一致地为MA配色，以获得更好的视觉识别
结合价格行为和成交量进行确认
技术详情：
使用Pine Script v6编写
覆盖指标（显示在价格图表上）
轻量高效
Mozilla Public License 2.0开源
不会重绘
默认设置：
MA1: EMA(5) - 黄色 (#f6c309)
MA2: EMA(13) - 橙色 (#fb9800)
MA3: EMA(21) - 深橙色 (#fb6500)
MA4: EMA(34) - 红色 (#f60c0c)
该指标非常适合需要简单、可靠且高度可定制的移动平均线解决方案的交易者。
Emoji TP/SLChoose an emoji for price, take profit, and stop loss. Choose ticks as a live moving TP/SL visual. Choose price to see a fixed TP/SL.
Ichimoku Cloud Laboratory [DAFE]Ichimoku Cloud Laboratory : The Ultimate All-In-One Trend & Equilibrium Engine
50+ Cloud Engines. Multi-Cloud Architecture. Advanced Signal Filtering. This is Not Just Ichimoku. This is the Evolution of Market Equilibrium.
█ PHILOSOPHY: BEYOND THE CLOUD, INTO THE LABORATORY
The Ichimoku Kinko Hyo is more than an indicator; it is a complete trading philosophy, a masterpiece of market analysis that provides an "at-a-glance" view of trend, momentum, and equilibrium. However, its core calculation—the simple midpoint of the high and low—was conceived in a pre-computer era. While brilliant, it is blind to the modern market's most critical force: the nuanced character of volume, volatility, and microstructure.
The Ichimoku Cloud Laboratory was not created to be another Ichimoku clone. It was engineered to be the definitive evolution of Goichi Hosoda's original vision. This is not just an indicator; it is a powerful, interactive research environment. It is a laboratory where you, the trader, can move beyond the static "one-size-fits-all" approach and forge an Ichimoku system that is perfectly synchronized with the unique physics of your market, timeframe, and analytical style.
We have deconstructed the very DNA of the Cloud, replacing its rigid 1930s-era calculation with a library of over 50 distinct, mathematically diverse calculation engines . From classical moving averages and advanced DSP filters to proprietary DAFE quantum models, this suite provides an unparalleled arsenal for visualizing the true, underlying architecture of market equilibrium.
█ WHAT MAKES THIS A "LABORATORY"? THE CORE INNOVATIONS
This tool stands in a class of its own. It is a collection of what could be 50 separate indicators, all seamlessly integrated into one powerful, unified engine.
The 50+ Algorithm Engine: This is the heart of the Laboratory. You are no longer bound by the simple Donchian midpoint. You can now swap the core calculation engine of the Tenkan-sen, Kijun-sen, and Senkou Span B with any of over 50 algorithms. Want a zero-lag, Hull MA-based cloud? A volume-weighted cloud that gravitates towards liquidity? A cloud that adapts its speed based on market entropy? You now have the power to construct it.
Multi-Cloud Architecture: This revolutionary feature allows you to stack up to three layers of the Ichimoku cloud on your chart, each calculated with a progressively longer timeframe multiplier. This transforms the flat, two-dimensional cloud into a rich, three-dimensional "heatmap" of support and resistance. You can instantly see the alignment (or conflict) between the short-term, medium-term, and long-term trends.
Advanced Signal Logic & Filtering: Go beyond the simple TK Cross. The Laboratory includes eight distinct, built-in signal strategies, from the classic "Kumo Breakout" to the high-conviction "Perfect Order." Crucially, you can then fortify these signals with a professional-grade filter module, requiring confirmation from Volume, ATR (volatility), or ADX (trend strength) before a signal is even considered valid.
Proprietary DAFE Engines: The crown jewels of the Laboratory. These are custom-built, proprietary algorithms you will not find anywhere else, designed to infuse the cloud with modern quantitative analysis:
DAFE Flux Reactor: A cloud that breathes with volatility, automatically tightening in squeezes and expanding in trends.
DAFE Tensor Cloud: Uses a 4-dimensional average (OHLC) to create a cloud that tracks the "true" center of price action.
DAFE Quantum Step: A noise-canceling cloud that only moves when price exceeds a volatility-based threshold.
DAFE Gravity Well: A volume-weighted cloud that is magnetically pulled towards high-liquidity zones.
Integrated Performance Engine & Dashboard: How do you know which of the 50+ engines is best? You test it. The built-in Performance Dashboard tracks every trade generated by your chosen configuration, while the main dashboard provides a comprehensive, at-a-glance summary of the entire Ichimoku system's current state.
█ A GUIDED TOUR OF THE ALGORITHMIC CORE
This is your library of mathematical DNA. The 50+ engines are your tools to build the perfect cloud.
THE ENGINE FAMILIES
The Classics (Hull MA, ZLEMA, KAMA, VIDYA): Replace the choppy Donchian midpoint with smooth, low-lag, or adaptive moving averages to create a more responsive and readable cloud.
The DSP & Quantitative Masters (SuperSmoother, Kalman, Gaussian, Laguerre): Employ advanced digital signal processing and statistical filtering to construct a cloud that is surgically precise in its separation of trend "signal" from market "noise."
The Volume-Based (VWMA, VWAP, Money Flow Weighted): Build a cloud that is not just based on price, but is weighted by participation. This creates a cloud that automatically respects high-liquidity zones as stronger levels of support and resistance.
The Adaptive Geniuses (ATR-Scaled, Volatility-Modulated, Efficiency Ratio, Entropy): These are "smart" engines that analyze the market's character—its volatility, trendiness, or disorder—and adapt the cloud's calculation in real-time. The result is a cloud that is stable in chop and dynamic in trends.
The DAFE Proprietary Engines: The pinnacle of cloud engineering. These exclusive algorithms allow you to build clouds based on principles of physics, institutional analysis, and quantum mechanics, creating a truly next-generation analytical tool.
█ STRATEGIC APPLICATION: FROM SIGNALS TO STRUCTURE
The Laboratory transforms Ichimoku from a simple signal generator into a complete market structure framework.
The Signal Logic: You are not limited to one strategy.
TK Cross: For classic momentum signals.
Kumo Breakout: For pure price action breakout strategies.
Perfect Order: The ultimate filter. By requiring Price > Cloud > Tenkan > Kijun, you filter for only the strongest, most established trends, eliminating the majority of false signals.
Cloud Twist: A forward-looking, predictive signal. The twist of the future cloud often pinpoints the exact timing of a potential trend reversal.
The Multi-Cloud Strategy: This is the professional's view. By enabling 3 Cloud Layers, you can see the market's fractal nature.
Layer 1 (Standard): Your short-term operational trend.
Layer 2 (e.g., 2x Periods): Your medium-term structural trend.
Layer 3 (e.g., 3x Periods): Your long-term macro trend.
The Strategy: Wait for price to pull back into the space between the 2nd and 3rd cloud layers—the "macro support/resistance zone"—and then take a signal from the 1st layer in the direction of the overall trend. This is a high-probability institutional setup.
█ THE MASTER DASHBOARD: YOUR "AT-A-GLANCE" COMMAND CENTER
The dashboard provides a comprehensive, real-time summary of the entire Ichimoku system's state.
Engine & Periods: Instantly confirm which of the 50+ engines and period settings are active.
Status Readout: Get an immediate, color-coded verdict on the three core Ichimoku components: Price vs. Cloud, the TK Cross, and the Future Cloud bias.
Momentum & Strength Gauge: A proprietary score that quantifies the overall bullish or bearish momentum of the system, and a "Strength" bar that visualizes the conviction of the current alignment.
Performance Data: If enabled, the dashboard will display your strategy's key performance metrics, including Win Rate, Profit Factor, and Net P&L.
█ DEVELOPMENT PHILOSOPHY
The Ichimoku Cloud Laboratory was born from a deep respect for Goichi Hosoda's original work and a relentless desire to push it into the 21st century. We believe that in modern markets, static tools are obsolete. The future of trading lies in adaptation, customization, and multi-dimensional analysis. This tool is for the serious trader, the systems thinker, the architect—the individual who is not content with a black box, but who seeks to understand, test, and refine their edge with surgical precision.
The Ichimoku Laboratory is designed to be the ultimate tool for that reaction, providing a crystal-clear, multi-layered view of what the market is telling you—not just through price, but through the very fabric of its equilibrium.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides a sophisticated market structure and signal framework. It must be integrated into a complete trading plan that includes your own analysis and risk management.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose.
START WITH A ROBUST BASE: Begin with the "Traditional" preset and the "Standard Donchian" engine to master the classic feel. Then, experiment with a low-lag engine like the "Hull Moving Average" to see the immediate benefit of a smoother, more responsive cloud.
USE CONFLUENCE: The highest probability signals come from confluence. A "TK Cross" buy signal that occurs above a bullish "Multi-Cloud" structure, confirmed by a "Perfect Order" and high volume, is an A++ setup.
"The essence of success in the market is not forecasting, but reacting to what the market is telling you right now."
— J. Welles Wilder Jr.
Taking you to school. - Dskyz, Trade with Anticipation. Trade with Strength. Trade with RSI: Evolved
Emoji Price + TP + SL FollowerEmojis following price, TP, and SL. For the homies only. We ain't playin dat foo foo broke boy no mo. put the fries in the bag
ORB Algo | WolfOfFuturesThis Script is an updated version of the Flux Charts ORB Algo
15min ORB default
4EMA breakout Condition
Dynamic TP Default
Trading Halt DetectorThis is an indicator that plots RED square above or below the last candle when a trading halt occurs. Note that it only plots once the market resumes, not while it's being Halted.
It calculates the time between every candle. If there's more than 1 minutes from a candle to the next one, a red square is going to show.
For exemple, if you trade on the 1min time frame and a Halt up happens, it usualy takes 5 minutes for the market to resume. Since the resuming candle open 5 minutes later, a RED square is going to appear below the last candle before the HALT.
1. When a RED Square appears below the candle, it means that a HALT up occured.
2. When a RED Square appears above the candle, it means that a HALT down occured.
You may use this indicator on multiple time frames but it's been built for 1 to 4 minutes time frame. It' s possible to adjust the time tolerance that you consider being a halt. The default setting is 1 minutes more than the chosen time frame.
Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool
Overview and Purpose
The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations.
Integration Rationale and Component Synergy
The indicator integrates three core analytical concepts into a cohesive system:
Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias.
Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels.
Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics.
These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes.
Operational Mechanism
The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements.
The oscillator's movement through threshold zones generates four distinct market signals:
Entry into overbought territory (crossing above 95%)
Exit from overbought territory (crossing below 95%)
Entry into oversold territory (crossing below 5%)
Exit from oversold territory (crossing above 5%)
Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles.
Practical Application Guidelines
Primary Use Cases:
Identification of potential major cycle turning points on weekly and monthly timeframes
Confirmation tool for existing trading strategies requiring cycle analysis
Risk management through recognition of extreme market conditions
Interpretation Framework:
Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures.
Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies.
Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed.
Parameter Considerations:
Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency.
Originality and Distinctive Features
This implementation incorporates several innovative aspects:
Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles.
Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration.
Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals.
Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management.
Empirical Considerations and Limitations
The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider:
The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods.
No technical indicator, including this one, can guarantee future market movements.
Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals.
Expected User Outcomes
When used as part of a comprehensive trading plan, this indicator can help users:
Identify potential reversal zones in major market cycles
Develop patience by focusing on significant rather than frequent trading opportunities
Maintain objective perspective during market extremes through quantitative assessment
Coordinate entry and exit timing with cycle analysis
The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
Neeson RSI Divergence DetectorIntegrating Multi-Indicator Strategies: A Rational Approach to Technical Analysis Tools
Introduction
The integration of multiple technical indicators into a unified trading script represents a sophisticated approach to market analysis, combining complementary analytical methods to enhance decision-making. This article outlines the rational basis for combining specific indicators, explains their synergistic operation, and provides practical guidance for users seeking to understand the functional utility, operational mechanics, and unique value proposition of integrated technical analysis tools.
Functional Purpose and Rational Integration Basis
Integrated technical scripts are designed to address the inherent limitations of single-indicator analysis by combining multiple analytical perspectives. The rational basis for integration typically follows these principles:
Complementary Signal Validation: Different indicators measure distinct market characteristics (momentum, volatility, trend strength, etc.). Their combination allows cross-validation of signals, reducing false positives inherent in single-indicator systems.
Multi-Timeframe Confirmation: Integrated scripts often incorporate elements that analyze price action across different temporal dimensions, providing a more comprehensive market perspective.
Risk Management Enhancement: By combining overbought/oversold indicators with trend confirmation tools, these scripts help identify not only entry opportunities but also potential risk zones.
Market Phase Adaptation: Different market conditions (trending, ranging, volatile) favor different indicator types. Integrated approaches maintain relevance across varying market environments.
Synergistic Operational Mechanism
The components of well-designed integrated scripts operate through several synergistic mechanisms:
Primary Trend Identification: Core trend-following indicators establish the dominant market direction, serving as a filter for other signals. This prevents counter-trend entries that might otherwise be generated by oscillators or momentum indicators.
Momentum Confirmation: Oscillator-based components (like RSI or Stochastic) validate the strength of the identified trend, distinguishing between healthy retracements and potential reversals.
Divergence Detection: By comparing price action with momentum indicators, these scripts identify subtle shifts in market dynamics that often precede trend changes.
Volatility Adjustment: Volatility-based components dynamically adjust signal thresholds and position sizing recommendations based on current market conditions.
Multi-Layer Filtering: Each signal passes through successive validation layers, with only the strongest, most confirmed signals triggering alerts or visual markers.
Practical Application Guidance
Users can maximize the utility of integrated scripts through these practical approaches:
Parameter Customization: Adjust indicator periods and thresholds to match the characteristics of specific trading instruments and timeframes. Historical testing can identify optimal settings for particular markets.
Signal Hierarchy Interpretation: Learn to distinguish between primary signals (strongly confirmed across multiple indicators) and secondary signals (weaker confirmation) for appropriate position sizing.
Contextual Analysis: Consider integrated signals within the broader market context, including support/resistance levels, volume patterns, and fundamental developments.
Performance Correlation: Monitor how different market conditions affect script performance. Some configurations may excel in trending markets while others perform better in ranging conditions.
Risk Calibration: Use the multi-indicator confirmation to calibrate stop-loss and take-profit levels, with tighter parameters for strongly confirmed signals and wider parameters for weaker ones.
Originality and Value Proposition
The originality of well-designed integrated scripts manifests in several dimensions:
Unique Combination Logic: The specific selection and weighting of indicators, along with their integration methodology, represents intellectual value distinct from simple indicator stacking.
Innovative Signal Processing: Advanced scripts often incorporate proprietary algorithms for signal filtering, noise reduction, or probability weighting not found in standard indicators.
Adaptive Framework: Some scripts dynamically adjust their analytical approach based on changing market conditions, representing a form of artificial market intelligence.
Visualization Innovation: The presentation of complex multi-indicator data in an intuitive, actionable format constitutes significant user interface originality.
Empirical Limitations and Responsible Use
It is crucial to maintain realistic expectations regarding integrated technical scripts:
No Predictive Certainty: These tools analyze probabilities, not certainties. No combination of historical price indicators can guarantee future price movements.
Market Efficiency Limitations: All technical analysis operates within the constraints of market efficiency, with script effectiveness varying across different market conditions and time periods.
Complementary Role: Integrated scripts should complement, not replace, comprehensive trading strategies including risk management, fundamental analysis, and market knowledge.
Continuous Evaluation: Regular performance assessment against established benchmarks helps maintain realistic expectations and identifies when script adjustments may be necessary.
Conclusion
The thoughtful integration of multiple technical indicators represents a logical evolution in analytical methodology, addressing the limitations of single-indicator approaches through complementary validation and multi-dimensional analysis. By understanding the rational basis for integration, the synergistic operation of components, and the practical application parameters, users can employ these tools as valuable components within broader, disciplined trading approaches. The true value emerges not from predictive accuracy but from structured decision support that helps traders navigate complex market environments with greater consistency and insight.
ICT Liquidity & OTE Engine - Real TimeICT Liquidity & OTE Engine - Real Time
This indicator is a comprehensive toolkit designed for traders utilizing Inner Circle Trader (ICT) concepts. It automates the identification of key structural liquidity pools (Buy Side & Sell Side Liquidity) and calculates real-time Optimal Trade Entry (OTE) levels, allowing you to react instantly to market structure shifts and liquidity sweeps.
Core Features
1. Dynamic Liquidity Pools (BSL / SSL) The script uses pivot high and low logic to identify significant swing points where stop losses and breakout orders typically reside.
BSL (Buy Side Liquidity): Green lines extending from Pivot Highs. These represent areas where short sellers have stops (buy stops).
SSL (Sell Side Liquidity): Red lines extending from Pivot Lows. These represent areas where long traders have stops (sell stops).
2. Real-Time "Sweep" Detection Unlike static support/resistance indicators, this script reacts to live price action.
Visual Feedback: When price "sweeps" or purges a liquidity level (breaks a BSL or SSL line), the line style automatically changes from solid to dotted and becomes semi-transparent.
Why this matters: This provides immediate visual confirmation that a "Stop Hunt" has occurred, often a precursor to a Smart Money reversal.
3. Optimal Trade Entry (OTE) 70.5% The indicator continuously tracks the highest high and lowest low over a definable lookback period (default 40 bars) to establish the current dealing range.
It plots the 70.5% Fibonacci retracement level, which is the classic ICT "Sweet Spot" for entries during a retracement.
This removes the need to manually draw and redraw Fib tools every time the range expands.
4. Bullish Fair Value Gap (FVG) Markers The script highlights specific bars that exhibit bullish displacement gaps, aiding in the identification of strong buying pressure or potential entries after a liquidity sweep.
How It Works
Pivots: It calculates pivots based on your user-defined Lookback input (default 20). A higher number finds longer-term swings; a lower number finds short-term scalping levels.
Liquidity Logic: Once a pivot is confirmed, a line is projected forward. If the current live High or Low breaches this line, the script detects the liquidity run and alters the line's appearance.
OTE Logic: (Highest High - Lowest Low) * 0.705. This dynamic calculation ensures the OTE level moves with the market structure in real-time.
How to Use
Identify the Sweep: Wait for price to run a SSL (Red Line) or BSL (Green Line). Watch for the line to turn dotted, indicating the liquidity has been taken.
Wait for Displacement: Look for a reaction away from the sweep (e.g., a sharp move up after taking SSL).
Find the Entry: Look for price to retrace to the plotted OTE 70.5% Line, ideally aligning with a marked FVG square, to position yourself in alignment with Smart Money.
Settings
Pivot Lookback: Adjusts the sensitivity of the liquidity lines (Default: 20).
Show BSL/SSL Lines: Toggles the liquidity pools on/off.
Show OTE Levels: Toggles the real-time Fibonacci level.
OTE Line Color: Customize the visual style of your entry level.
Gold Professional MacrosMacro Window Descriptions
London Opening Sweep (08:00 – 08:30 CET)
Purpose: The "Judas Swing" window. It captures the initial surge of European liquidity, often creating a false move to sweep Asian Session highs or lows before establishing the true London trend.
London LOD/HOD (09:30 – 10:00 CET)
Purpose: The "Maturity" window. This is where the morning trend often establishes its Low of Day (LOD) or High of Day (HOD) before entering a mid-day consolidation.
Pre-NY News Window (13:30 – 14:00 CET)
Purpose: The "High-Impact" window. Corresponds to 07:30–08:00 NY Time, aligning with major US economic data releases (CPI, Jobless Claims) that trigger immediate repricing in Gold.
NY Open Power Surge (15:15 – 15:45 CET)
Purpose: The "Volatility" window. Marks the official New York open. This is the prime time for ICT Silver Bullet setups as heavy institutional volume enters the market.
The Gold Fix Liquidation (16:00 – 16:30 CET)
Purpose: The Master Macro. This is the London Gold Fix. It is the most critical period for Gold, often resulting in massive reversals or final daily expansions as central banks and bullion dealers settle prices globally.
PM Reversal (19:30 – 20:00 CET)
Purpose: The "Correction" window. Often sees Gold retracing to fill Fair Value Gaps (FVG) or imbalances created during the violent NY morning session.
Key Features of the Script
Visual Time-Boxing: Color-coded background zones for instant recognition.
Automated Labeling: Clearly identifies each macro at the moment of inception.
Multi-Timeframe Compatible: Optimized for M1, M5, and M15 execution charts.
Timezone Synchronized: Hard-coded to Europe/Paris (CET) to align perfectly with European and US market overlaps.
Position Size RulerThis script is designed for day traders who need to visualize contract sizing based on stop loss size instantly without manual calculations. It bridges the gap between a trader's defined risk and the fast-moving price action of assets like NQ or MNQ.
The tool operates by creating a "position size ruler" that projects contract-specific zones based on a draggable Stop Loss anchor.
Draggable Stop Loss: In settings, you will first need to enter a value for the stop loss. This value should be near the current price value so that the ruler can be seen on your chart. Once that is done, you can click and drag the "blue dot" handle—anchored to the left edge of the stop loss—to align it with your anticipated stop loss location.
Adaptive AI SuperTrend [AlgoPoint]🚀 Adaptive AI SuperTrend
Adaptive AI SuperTrend is a high-performance trading terminal that redefines trend-following by integrating Machine Learning (ML) principles with advanced market regime detection. Unlike static indicators, this system dynamically recalibrates its internal parameters to match the ever-changing volatility of the financial markets.
Equipped with a custom "Wizard Engine," it filters out market noise during consolidation and identifies high-probability trend continuation points, making it an essential tool for scalpers, day traders, and swing traders alike.
🧠 What Makes it "AI"?
While traditional indicators use fixed rules, Adaptive AI SuperTrend utilizes Algorithmic Intelligence to make real-time decisions:
KNN-Inspired Adaptation: The engine analyzes the last 150 bars of volatility and trend strength to automatically adjust its sensitivity.
Market Regime Intelligence: It distinguishes between "Trending" and "Ranging" states using a sophisticated Squeeze Momentum module, preventing "whipsaws" during low-volume periods.
Self-Backtesting Logic: The indicator continuously calculates its own historical Win-Rate. If the probability of success falls below a certain threshold, it suppresses lower-quality signals.
🛠 Key Features
Dynamic Consolidation Boxes: Automatically identifies and wraps "choppy" price action in professional gray boxes. It waits for 3+ bars of consolidation before marking the zone, helping you spot breakout opportunities early.
Multi-Strategy Aggression:
- Conservative: Filtered signals for long-term trend following.
- Balanced: Optimized for daily volatility.
- Aggressive: High-frequency signals for capturing micro-trends.
Dual-Exit Risk Management:
- ATR TP-SL Mode: Sets mathematical targets based on market volatility with persistent on-screen lines.
- Smart Trailing Mode: Rides the trend to its exhaustion point. Includes intelligent labeling (🎯 TP or 🛑 SL) based on the trade's net profitability.
- RSI Pullback Confirmation: Beyond simple trend flips, it detects "buy the dip" or "sell the rip" opportunities within an existing trend using RSI 50-level crossovers.
📊 Real-Time Analytics Dashboard
The integrated AlgoPoint Dashboard provides a surgical view of the market:
- Market State: Instant "Trending" vs. "Ranging" (Consolidation) detection.
- Trend Strength: ADX-based momentum tracking.
- Strategy Status: Real-time feedback on your active aggression and exit modes.
🎨 Clean Charting & Customization
Built for professional clarity, you have total control over the UI:
Toggle Consolidation Boxes on/off.
Toggle ATR Target Lines and Exit Labels.
Customize background filters and dashboard visibility.
RSMPatternLibLibrary "RSMPatternLib"
RSM Pattern Library - All chart patterns from PATTERNS.md
Implements: Candlestick patterns, Support/Resistance, Gaps, Triangles, Volume Divergence, and more
ALL PATTERNS ARE OWN IMPLEMENTATION - No external dependencies
EDGE CASES HANDLED:
- Zero/tiny candle bodies
- Missing volume data
- Low bar count scenarios
- Integer division issues
- Price normalization for different instruments
bullishEngulfing(minBodyRatio, minPrevBodyRatio)
Detects Bullish Engulfing pattern
Parameters:
minBodyRatio (float) : Minimum body size as ratio of total range (default 0.3)
minPrevBodyRatio (float) : Minimum previous candle body ratio to filter dojis (default 0.1)
Returns: bool True when bullish engulfing detected
EDGE CASES: Handles doji previous candle, zero range, tiny bodies
bearishEngulfing(minBodyRatio, minPrevBodyRatio)
Detects Bearish Engulfing pattern
Parameters:
minBodyRatio (float) : Minimum body size as ratio of total range (default 0.3)
minPrevBodyRatio (float) : Minimum previous candle body ratio to filter dojis (default 0.1)
Returns: bool True when bearish engulfing detected
EDGE CASES: Handles doji previous candle, zero range, tiny bodies
doji(maxBodyRatio, minRangeAtr)
Detects Doji candle (indecision)
Parameters:
maxBodyRatio (float) : Maximum body size as ratio of total range (default 0.1)
minRangeAtr (float) : Minimum range as multiple of ATR to filter flat candles (default 0.3)
Returns: bool True when doji detected
EDGE CASES: Filters out no-movement bars, handles zero range
shootingStar(wickMultiplier, maxLowerWickRatio, minBodyAtrRatio)
Detects Shooting Star (bearish reversal)
Parameters:
wickMultiplier (float) : Upper wick must be at least this times the body (default 2.0)
maxLowerWickRatio (float) : Lower wick max as ratio of body (default 0.5)
minBodyAtrRatio (float) : Minimum body size as ratio of ATR (default 0.1)
Returns: bool True when shooting star detected
EDGE CASES: Handles zero body (uses range-based check), tiny bodies
hammer(wickMultiplier, maxUpperWickRatio, minBodyAtrRatio)
Detects Hammer (bullish reversal)
Parameters:
wickMultiplier (float) : Lower wick must be at least this times the body (default 2.0)
maxUpperWickRatio (float) : Upper wick max as ratio of body (default 0.5)
minBodyAtrRatio (float) : Minimum body size as ratio of ATR (default 0.1)
Returns: bool True when hammer detected
EDGE CASES: Handles zero body (uses range-based check), tiny bodies
invertedHammer(wickMultiplier, maxLowerWickRatio)
Detects Inverted Hammer (bullish reversal after downtrend)
Parameters:
wickMultiplier (float) : Upper wick must be at least this times the body (default 2.0)
maxLowerWickRatio (float) : Lower wick max as ratio of body (default 0.5)
Returns: bool True when inverted hammer detected
EDGE CASES: Same as shootingStar but requires bullish close
hangingMan(wickMultiplier, maxUpperWickRatio)
Detects Hanging Man (bearish reversal after uptrend)
Parameters:
wickMultiplier (float) : Lower wick must be at least this times the body (default 2.0)
maxUpperWickRatio (float) : Upper wick max as ratio of body (default 0.5)
Returns: bool True when hanging man detected
NOTE: Identical to hammer - context (uptrend) determines meaning
morningStar(requireGap, minAvgBars)
Detects Morning Star (3-candle bullish reversal)
Parameters:
requireGap (bool) : Whether to require gap between candles (default false for crypto/forex)
minAvgBars (int) : Minimum bars for average body calculation (default 14)
Returns: bool True when morning star pattern detected
EDGE CASES: Gap is optional, handles low bar count, uses shifted average
eveningStar(requireGap, minAvgBars)
Detects Evening Star (3-candle bearish reversal)
Parameters:
requireGap (bool) : Whether to require gap between candles (default false for crypto/forex)
minAvgBars (int) : Minimum bars for average body calculation (default 14)
Returns: bool True when evening star pattern detected
EDGE CASES: Gap is optional, handles low bar count
gapUp()
Detects Gap Up
Returns: bool True when current bar opens above previous bar's high
gapDown()
Detects Gap Down
Returns: bool True when current bar opens below previous bar's low
gapSize()
Returns gap size in price
Returns: float Gap size (positive for gap up, negative for gap down, 0 for no gap)
gapPercent()
Returns gap size as percentage
Returns: float Gap size as percentage of previous close
gapType(volAvgLen, breakawayMinPct, highVolMult)
Classifies gap type based on volume
Parameters:
volAvgLen (int) : Length for volume average (default 20)
breakawayMinPct (float) : Minimum gap % for breakaway (default 1.0)
highVolMult (float) : Volume multiplier for high volume (default 1.5)
Returns: string Gap type: "Breakaway", "Common", "Continuation", or "None"
EDGE CASES: Handles missing volume data, low bar count
swingHigh(leftBars, rightBars)
Detects swing high using pivot
Parameters:
leftBars (int) : Bars to left for pivot (default 5)
rightBars (int) : Bars to right for pivot (default 5)
Returns: float Swing high price or na
swingLow(leftBars, rightBars)
Detects swing low using pivot
Parameters:
leftBars (int) : Bars to left for pivot (default 5)
rightBars (int) : Bars to right for pivot (default 5)
Returns: float Swing low price or na
higherHigh(leftBars, rightBars, lookback)
Checks if current swing high is higher than previous swing high
Parameters:
leftBars (int) : Bars to left for pivot (default 5)
rightBars (int) : Bars to right for pivot (default 5)
lookback (int) : How many bars back to search for previous pivot (default 50)
Returns: bool True when higher high pattern detected
EDGE CASES: Searches backwards for pivots instead of using var (library-safe)
higherLow(leftBars, rightBars, lookback)
Checks if current swing low is higher than previous swing low
Parameters:
leftBars (int) : Bars to left for pivot (default 5)
rightBars (int) : Bars to right for pivot (default 5)
lookback (int) : How many bars back to search for previous pivot (default 50)
Returns: bool True when higher low pattern detected
lowerHigh(leftBars, rightBars, lookback)
Checks if current swing high is lower than previous swing high
Parameters:
leftBars (int) : Bars to left for pivot (default 5)
rightBars (int) : Bars to right for pivot (default 5)
lookback (int) : How many bars back to search for previous pivot (default 50)
Returns: bool True when lower high pattern detected
lowerLow(leftBars, rightBars, lookback)
Checks if current swing low is lower than previous swing low
Parameters:
leftBars (int) : Bars to left for pivot (default 5)
rightBars (int) : Bars to right for pivot (default 5)
lookback (int) : How many bars back to search for previous pivot (default 50)
Returns: bool True when lower low pattern detected
bullishTrend(leftBars, rightBars, lookback)
Detects Bullish Trend (HH + HL within lookback)
Parameters:
leftBars (int) : Bars to left for pivot (default 5)
rightBars (int) : Bars to right for pivot (default 5)
lookback (int) : Lookback period (default 50)
Returns: bool True when making higher highs AND higher lows
bearishTrend(leftBars, rightBars, lookback)
Detects Bearish Trend (LH + LL within lookback)
Parameters:
leftBars (int) : Bars to left for pivot (default 5)
rightBars (int) : Bars to right for pivot (default 5)
lookback (int) : Lookback period (default 50)
Returns: bool True when making lower highs AND lower lows
nearestResistance(lookback, leftBars, rightBars)
Finds nearest resistance level above current price
Parameters:
lookback (int) : Number of bars to look back (default 50)
leftBars (int) : Pivot left bars (default 5)
rightBars (int) : Pivot right bars (default 5)
Returns: float Nearest resistance level or na
EDGE CASES: Pre-computes pivots, handles bounds properly
nearestSupport(lookback, leftBars, rightBars)
Finds nearest support level below current price
Parameters:
lookback (int) : Number of bars to look back (default 50)
leftBars (int) : Pivot left bars (default 5)
rightBars (int) : Pivot right bars (default 5)
Returns: float Nearest support level or na
resistanceBreakout(lookback, leftBars, rightBars)
Detects resistance breakout
Parameters:
lookback (int) : Number of bars to look back (default 50)
leftBars (int) : Pivot left bars (default 5)
rightBars (int) : Pivot right bars (default 5)
Returns: bool True when price breaks above resistance
EDGE CASES: Uses previous bar's resistance to avoid lookahead
supportBreakdown(lookback, leftBars, rightBars)
Detects support breakdown
Parameters:
lookback (int) : Number of bars to look back (default 50)
leftBars (int) : Pivot left bars (default 5)
rightBars (int) : Pivot right bars (default 5)
Returns: bool True when price breaks below support
bullishVolumeDivergence(leftBars, rightBars, lookback)
Detects Bullish Volume Divergence (price makes lower low, volume decreases)
Parameters:
leftBars (int) : Pivot left bars (default 5)
rightBars (int) : Pivot right bars (default 5)
lookback (int) : Bars to search for previous pivot (default 50)
Returns: bool True when bullish volume divergence detected
EDGE CASES: Library-safe (no var), searches for previous pivot
bearishVolumeDivergence(leftBars, rightBars, lookback)
Detects Bearish Volume Divergence (price makes higher high, volume decreases)
Parameters:
leftBars (int) : Pivot left bars (default 5)
rightBars (int) : Pivot right bars (default 5)
lookback (int) : Bars to search for previous pivot (default 50)
Returns: bool True when bearish volume divergence detected
rangeContracting(lookback)
Detects if price is in a contracting range (triangle formation)
Parameters:
lookback (int) : Bars to analyze (default 20)
Returns: bool True when range is contracting
EDGE CASES: Uses safe integer division, checks minimum lookback
ascendingTriangle(lookback, flatTolerance)
Detects Ascending Triangle (flat top, rising bottom)
Parameters:
lookback (int) : Bars to analyze (default 20)
flatTolerance (float) : Max normalized slope for "flat" line (default 0.002)
Returns: bool True when ascending triangle detected
EDGE CASES: Safe division, normalized slope, minimum lookback
descendingTriangle(lookback, flatTolerance)
Detects Descending Triangle (falling top, flat bottom)
Parameters:
lookback (int) : Bars to analyze (default 20)
flatTolerance (float) : Max normalized slope for "flat" line (default 0.002)
Returns: bool True when descending triangle detected
symmetricalTriangle(lookback, minSlope)
Detects Symmetrical Triangle (converging trend lines)
Parameters:
lookback (int) : Bars to analyze (default 20)
minSlope (float) : Minimum normalized slope magnitude (default 0.0005)
Returns: bool True when symmetrical triangle detected
doubleBottom(tolerance, minSpanBars, lookback)
Detects Double Bottom (W pattern) - OWN IMPLEMENTATION
Two swing lows at similar price levels with a swing high between them
Parameters:
tolerance (float) : Max price difference between lows as % (default 3)
minSpanBars (int) : Minimum bars between the two lows (default 5)
lookback (int) : Max bars to search for pattern (default 100)
Returns: bool True when double bottom detected
doubleTop(tolerance, minSpanBars, lookback)
Detects Double Top (M pattern) - OWN IMPLEMENTATION
Two swing highs at similar price levels with a swing low between them
Parameters:
tolerance (float) : Max price difference between highs as % (default 3)
minSpanBars (int) : Minimum bars between the two highs (default 5)
lookback (int) : Max bars to search for pattern (default 100)
Returns: bool True when double top detected
tripleBottom(tolerance, minSpanBars, lookback)
Detects Triple Bottom - OWN IMPLEMENTATION
Three swing lows at similar price levels
Parameters:
tolerance (float) : Max price difference between lows as % (default 3)
minSpanBars (int) : Minimum total bars for pattern (default 10)
lookback (int) : Max bars to search for pattern (default 150)
Returns: bool True when triple bottom detected
tripleTop(tolerance, minSpanBars, lookback)
Detects Triple Top - OWN IMPLEMENTATION
Three swing highs at similar price levels
Parameters:
tolerance (float) : Max price difference between highs as % (default 3)
minSpanBars (int) : Minimum total bars for pattern (default 10)
lookback (int) : Max bars to search for pattern (default 150)
Returns: bool True when triple top detected
bearHeadShoulders()
Detects Bearish Head and Shoulders (OWN IMPLEMENTATION)
Head is higher than both shoulders, shoulders roughly equal, with valid neckline
STRICT VERSION - requires proper structure, neckline, and minimum span
Returns: bool True when bearish H&S detected
bullHeadShoulders()
Detects Bullish (Inverse) Head and Shoulders (OWN IMPLEMENTATION)
Head is lower than both shoulders, shoulders roughly equal, with valid neckline
STRICT VERSION - requires proper structure, neckline, and minimum span
Returns: bool True when bullish H&S detected
bearAscHeadShoulders()
Detects Bearish Ascending Head and Shoulders (variant)
Returns: bool True when pattern detected
bullAscHeadShoulders()
Detects Bullish Ascending Head and Shoulders (variant)
Returns: bool True when pattern detected
bearDescHeadShoulders()
Detects Bearish Descending Head and Shoulders (variant)
Returns: bool True when pattern detected
bullDescHeadShoulders()
Detects Bullish Descending Head and Shoulders (variant)
Returns: bool True when pattern detected
isSwingLow()
Re-export: Detects swing low
Returns: bool True when swing low detected
isSwingHigh()
Re-export: Detects swing high
Returns: bool True when swing high detected
swingHighPrice(idx)
Re-export: Gets swing high price at index
Parameters:
idx (int) : Index (0 = most recent)
Returns: float Swing high price
swingLowPrice(idx)
Re-export: Gets swing low price at index
Parameters:
idx (int) : Index (0 = most recent)
Returns: float Swing low price
swingHighBarIndex(idx)
Re-export: Gets swing high bar index
Parameters:
idx (int) : Index (0 = most recent)
Returns: int Bar index of swing high
swingLowBarIndex(idx)
Re-export: Gets swing low bar index
Parameters:
idx (int) : Index (0 = most recent)
Returns: int Bar index of swing low
cupBottom(smoothLen, minDepthAtr, maxDepthAtr)
Detects Cup and Handle pattern formation
Uses price acceleration and depth analysis
Parameters:
smoothLen (int) : Smoothing length for price (default 10)
minDepthAtr (float) : Minimum cup depth as ATR multiple (default 1.0)
maxDepthAtr (float) : Maximum cup depth as ATR multiple (default 5.0)
Returns: bool True when potential cup bottom detected
EDGE CASES: Added depth filter, ATR validation
cupHandle(lookback, maxHandleRetraceRatio)
Detects potential handle formation after cup
Parameters:
lookback (int) : Bars to look back for cup (default 30)
maxHandleRetraceRatio (float) : Maximum handle retracement of cup depth (default 0.5)
Returns: bool True when handle pattern detected
bullishPatternCount()
Returns count of bullish patterns detected
Returns: int Number of bullish patterns currently active
bearishPatternCount()
Returns count of bearish patterns detected
Returns: int Number of bearish patterns currently active
detectedPatterns()
Returns string description of detected patterns
Returns: string Comma-separated list of detected patterns
Daily Bias Panel (with MTF Toggle)Daily Bias Panel Documentation
Overview
The Daily Bias Panel is a TradingView indicator designed to provide a structured, multi factor assessment of market direction for intraday and swing traders. It consolidates several key bias components—Prior Day levels, VWAP, Overnight High/Low, Multi Timeframe Market Structure, and an Overall Bias—into a clean, compact table. A confidence meter summarizes the combined strength of all signals.
This document explains each line item, the rules behind it, and how to interpret the panel.
1. Prior Day Bias
Definition
Compares the current price to the previous day’s high and low.
Rules
• Bullish (1): Close > Prior Day High
• Bearish (-1): Close < Prior Day Low
• Neutral (0): Price is between the prior high and low
Interpretation
This bias reflects whether the market is breaking out above or below the previous day’s range. It is a foundational directional signal.
2. VWAP Bias
Definition
Measures whether price is trading above or below the Volume Weighted Average Price.
Rules
• Bullish (1): Close > VWAP
• Bearish (-1): Close < VWAP
• Neutral (0): Price is at VWAP
Interpretation
VWAP is a widely used institutional benchmark. Trading above VWAP suggests buyers are in control; below VWAP suggests sellers dominate.
3. ONH / ONL Bias (Overnight High / Low)
Definition
Tracks the overnight session’s high and low (18:00–09:30 ET) and compares current price to those levels.
Rules
• Bullish (1): Close > Overnight High
• Bearish (-1): Close < Overnight Low
• Neutral (0): Price is inside the overnight range
Interpretation
ONH/ONL is extremely important for index futures (ES/NQ). Breaking ONH/ONL often signals strong directional intent at the RTH open.
4. Struct MTF (Market Structure Bias)
Definition
A weighted blend of market structure trends across multiple timeframes.
Modes
Swing Mode
• 4H (50%)
• 1H (30%)
• 15M (20%)
Intraday Mode
• 1H (40%)
• 15M (35%)
• 5M (25%)
Rules
Each timeframe is classified as:
• Bullish (1): Higher High + Higher Low
• Bearish (-1): Lower High + Lower Low
• Neutral (0): No clear structure
The weighted average produces a final structure score.
Interpretation
This is your trend engine. It smooths noise and provides a stable directional backbone.
5. Overall Bias
Definition
A strict agreement filter between Prior Day Bias and VWAP Bias.
Rules
• Bullish (1): Both Prior Day and VWAP are bullish
• Bearish (-1): Both are bearish
• Neutral (0): Any disagreement
Interpretation
This prevents false positives by requiring alignment between two major bias components.
6. Confidence Score
Definition
A weighted blend of all bias components:
• Prior Day (25%)
• VWAP (25%)
• ONH/ONL (20%)
• MTF Structure (30%)
Output
A normalized score between -1.00 and +1.00.
Interpretation
• +1.00: Strong bullish alignment across all systems
• -1.00: Strong bearish alignment
• 0.00: Mixed or unclear conditions
7. Confidence Meter (10 Square Visual)
Definition
A visual representation of the confidence score.
Rules
• 0–10 squares filled based on absolute confidence
• Color reflects direction (green/red/yellow)
Interpretation
A quick glance gauge of trend strength.
8. Debug Mode (Optional)
Purpose
Displays all underlying levels and bias markers directly on the chart.
Includes
• Prior High / Low
• VWAP
• ONH / ONL
• Confidence Score line
• Bias markers (P, V, O, M)
Use Case
Great for verifying logic, backtesting visually, and understanding how each component behaves.
9. Panel Layout & Spacing
Top Left Spacer System
When the panel is placed in the top left corner, a 3 row spacer pushes it below the chart header and indicator dropdown.
Panel Size Options
• Small
• Medium
• Large
These adjust font sizes and meter padding.
______________________________________________________________________________
Summary
The Daily Bias Panel is a compact, multi factor decision tool that blends:
• Prior Day context
• VWAP positioning
• Overnight session dynamics
• Multi timeframe trend structure
• A strict overall bias filter
• A confidence scoring engine
Together, these components give traders a clear, structured view of market direction and strength.
This documentation should serve as a complete reference for understanding, using, and publishing the indicator.
VPE Candle Patterns with Volume ConfirmationPattern Detection Logic:
Doji — Body is ≤10% of the candle range (adjustable)
Hammer — Body in upper third, lower wick ≥2x body size, minimal upper wick
Shooting Star — Body in lower third, upper wick ≥2x body size, minimal lower wick
Volume Confirmation:
Patterns only trigger signals when volume > volume (current candle volume exceeds previous)
Alerts:
Four alert conditions you can configure in TradingView:
Doji Detected
Hammer Detected
Shooting Star Detected
Any Pattern Detected (combined)
Visual Elements:
Labels on chart (D, H, SS) — toggleable
Optional background highlighting
Info table showing current bar status
To set up alerts in TradingView:
Add the indicator to your chart
Right-click → Add Alert
Select the indicator and choose which alert condition
Configure your notification method (webhook, email, app push, etc.)
The input parameters let you tune sensitivity — tighten the dojiBodyRatio for stricter doji detection, or adjust wick ratios if you're getting too many/few signals.
Market Breadth MomentumThe indicator operates by fetching data from external tickers (usually market internal symbols like ATHI and ATLO) and processing them through a momentum filter. It aims to identify "breadth thrusts" or exhaustion points before they become obvious on a standard price chart.
Key ComponentsCustom Data Inputs: By default, it uses New Highs and New Lows tickers. You can toggle between calculating the Net difference (Highs minus Lows) or a Ratio (Highs divided by Lows).
Dual Mode Logic:Raw Mode: Visualizes the raw spread between highs and lows.Momentum Mode: Applies a McClellan-style calculation (Fast EMA minus Slow EMA) to show the rate of change in market breadth.Signal Line: Includes a 9-period EMA (Signal Line) to help identify trend shifts and provide crossover alerts.
Visual InterpretationThe indicator is displayed in a separate pane below the price chart:ElementDescription
Teal ColumnsIndicate that the breadth momentum is increasing (bullish divergence or strengthening trend).
Maroon Columns Indicate that the breadth momentum is decreasing (bearish divergence or weakening trend).Orange LineThe Signal Line; used to smooth out noise and provide entry/exit triggers.Zero LineThe "neutral" mark. Values above zero generally suggest bullish internal health; values below suggest bearish.
Identifying Divergences
If the S&P 500 is making new price highs, but the Breadth Momentum histogram is making lower highs, it suggests the rally is losing participation. This is often a precursor to a market correction.
Momentum Crossovers
A common signal is the "Signal Line Cross." When the columns cross above the orange Signal Line, it indicates a short-term surge in market participation (a "Thrust").
Mean Reversion
Extreme extensions away from the Zero Line (either positive or negative) can signal that the market is overbought or oversold on an internal level, regardless of what the price action looks like.
Settings & Inputs
New Highs/Lows Ticker: Ensure these match the symbols provided by your broker (e.g., HI_NY or ATHI).
Fast/Slow EMA: Standard settings are 19 and 39 (McClellan defaults), but these can be tightened for faster scalping or widened for long-term trend following.
Show Momentum: Toggle this off if you simply want to see the raw "Net Highs" data without the EMA smoothing.
FOMC Policy Events[nakano]### FOMC Policy Events
#### Summary / 概要
This indicator plots the historical policy decisions of the U.S. Federal Open Market Committee (FOMC) directly onto your chart. It is an essential tool for traders and analysts who want to visualize how the market reacts to changes in monetary policy. All historical event data from 2000 onwards is hard-coded into the script for fast and reliable performance.
このインジケーターは、米国連邦公開市場委員会（FOMC）の過去の政策決定をチャート上に直接プロットします。金融政策の変更に対する市場の反応を視覚的に分析したいトレーダーやアナリストにとって不可欠なツールです。2000年以降の全ての過去イベントデータが含まれます。
---
#### Features / 主な機能
* **Comprehensive Historical Data / 包括的な過去データ**
Includes all historical scheduled and emergency FOMC rate decisions from January 2000.
2000年1月以降の、全ての定例および緊急のFOMC金利決定の履歴を含みます。
* **Detailed Event Labels / 詳細なイベントラベル**
Each event is marked with a clear label showing:
各イベントには、以下の情報を示す明確なラベルが表示されます：
* The exact date of the announcement.
発表の正確な日付
* The type of decision (Rate Hike, Rate Cut, Hold, or Emergency Cut).
決定内容（利上げ、利下げ、据え置き、緊急利下げ）
* The resulting Federal Funds Target Rate.
決定後の政策金利（FF金利ターゲット）
* **Fully Customizable Display / 柔軟な表示設定**
From the indicator's settings menu, you can:
インジケーターの設定画面から、以下の操作が可能です：
* Individually toggle the visibility of Rate Hikes, Rate Cuts, and Holds.
「利上げ」「利下げ」「据え置き」の表示・非表示を個別に切り替える
* Choose your preferred language for the labels (English or Japanese).
ラベルの表示言語を「英語」または「日本語」から選択する
* **Clear Visual Cues / 明確なビジュアル**
* **Rate Hikes:** Green labels positioned below the price bars.
**利上げ：** バーの下に緑色のラベル
* **Rate Cuts:** Red labels positioned above the price bars.
**利下げ：** バーの上に赤色のラベル
* **Holds:** Gray labels positioned above the price bars.
**据え置き：** バーの上に灰色のラベル
* **Emergency Events:** Specially highlighted in maroon for easy identification.
**緊急イベント：** 識別しやすいように特別な色（ワインレッド）で強調表示
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#### How to Use / 使用方法
1. Add the indicator to your chart.
インジケーターをチャートに追加します。
2. Click the **Settings (gear icon)** next to the indicator name on your chart.
チャート上のインジケーター名の横にある**設定（歯車アイコン）**をクリックします。
3. In the "Display Settings" section, check or uncheck the boxes to show or hide different event types.
「Display Settings」セクションで、各イベントタイプの表示・非表示をチェックボックスで切り替えます。
4. In the "Language Settings" section, select your preferred language from the dropdown menu.
「Language Settings」セクションで、ドロップダウンメニューからお好みの言語を選択します。
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#### A Note on Data / データについて
The event data included in this script is static and contains historical decisions up to September 2025. The script does not plot future scheduled meetings and will need to be manually updated as new policy decisions are made.
このスクリプトに含まれるイベントデータは静的なものであり、2026年1月までの過去の決定を含んでいます。未来のスケジュールをプロットする機能はなく、新しい金融政策が決定された場合は、スクリプトの手動更新が必要です。
