Bifurcation Early WarningBifurcation Early Warning (BEW) — Chaos Theory Regime Detection
OVERVIEW
The Bifurcation Early Warning indicator applies principles from chaos theory and complex systems research to detect when markets are approaching critical transition points — moments where the current regime is likely to break down and shift to a new state.
Unlike momentum or trend indicators that tell you what is happening, BEW tells you when something is about to change. It provides early warning of regime shifts before they occur, giving traders time to prepare for increased volatility or trend reversals.
THE SCIENCE BEHIND IT
In complex systems (weather, ecosystems, financial markets), major transitions don't happen randomly. Research has identified three universal warning signals that precede critical transitions:
1. Critical Slowing Down
As a system approaches a tipping point, it becomes "sluggish" — small perturbations take longer to decay. In markets, this manifests as rising autocorrelation in returns.
2. Variance Amplification
Short-term volatility begins expanding relative to longer-term baselines as the system destabilizes.
3. Flickering
The system oscillates between two potential states before committing to one — visible as increased crossing of mean levels.
BEW combines all three signals into a single composite score.
COMPONENTS
AR(1) Coefficient — Critical Slowing Down (Blue)
Measures lag-1 autocorrelation of returns over a rolling window.
• Rising toward 1.0: Market becoming "sticky," slow to mean-revert — transition approaching
• Low values (<0.3): Normal mean-reverting behavior, stable regime
Variance Ratio (Purple)
Compares short-term variance to long-term variance.
• Above 1.5: Short-term volatility expanding — energy building before a move
• Near 1.0: Volatility stable, no unusual pressure
Flicker Count (Yellow/Teal)
Counts state changes (crossings of the dynamic mean) within the lookback period.
• High count: Market oscillating between states — indecision before commitment
• Low count: Price firmly in one regime
INTERPRETING THE BEW SCORE
0–50 (STABLE): Normal market conditions. Existing strategies should perform as expected.
50–70 (WARNING): Elevated instability detected. Consider reducing exposure or tightening risk parameters.
70–85 (DANGER): High probability of regime change. Avoid initiating new positions; widen stops on existing ones.
85+ (CRITICAL): Bifurcation likely imminent or in progress. Expect large, potentially unpredictable moves.
HOW TO USE
As a Regime Filter
• BEW < 50: Normal trading conditions — apply your standard strategies
• BEW > 60: Elevated caution — reduce position sizes, avoid mean-reversion plays
• BEW > 80: High alert — consider staying flat or hedging existing positions
As a Preparation Signal
BEW tells you when to pay attention, not which direction. When readings elevate:
• Watch for confirmation from volume, order flow, or other directional indicators
• Prepare for breakout scenarios in either direction
• Adjust take-profit and stop-loss distances for larger moves
For Volatility Adjustment
High BEW periods correlate with larger candles. Use this to:
• Widen stops during elevated readings
• Adjust position sizing inversely to BEW score
• Set more ambitious profit targets when entering during high-BEW breakouts
Divergence Analysis
• Price making new highs/lows while BEW stays low: Trend likely to continue smoothly
• Price consolidating while BEW rises: Breakout incoming — direction uncertain but move will be significant
SETTINGS GUIDE
Core Settings
• Lookback Period: General reference period (default: 50)
• Source: Price source for calculations (default: close)
Critical Slowing Down (AR1)
• AR(1) Calculation Period: Bars used for autocorrelation (default: 100). Higher = smoother, slower.
• AR(1) Warning Threshold: Level at which AR(1) is considered elevated (default: 0.85)
Variance Growth
• Variance Short Period: Fast variance window (default: 20)
• Variance Long Period: Slow variance window (default: 100)
• Variance Ratio Threshold: Level for maximum score contribution (default: 1.5)
Regime Flickering
• Flicker Detection Period: Window for counting state changes (default: 20)
• Flicker Bandwidth: ATR multiplier for state detection — lower = more sensitive (default: 0.5)
• Flicker Count Threshold: Number of crossings for maximum score (default: 4)
TIMEFRAME RECOMMENDATIONS
• 5m–15m: Use shorter periods (AR: 30–50, Var: 10/50). Expect more noise.
• 1H: Balanced performance with default or slightly extended settings (AR: 100, Var: 20/100).
• 4H–Daily: Extend periods further (AR: 100–150, Var: 30/150). Cleaner signals, less frequent.
ALERTS
Three alert conditions are included:
• BEW Warning: Score crosses above 50
• BEW Danger: Score crosses above 70
• BEW Critical: Score crosses above 85
LIMITATIONS
• No directional bias: BEW detects instability, not direction. Combine with trend or momentum indicators.
• Not a timing tool: Elevated readings may persist for several bars before the actual move.
• Parameter sensitive: Optimal settings vary by asset and timeframe. Backtest before live use.
• Leading indicator trade-off: Early warning means some false positives are inevitable.
CREDITS
Inspired by research on early warning signals in complex systems:
• Dakos et al. (2012) — "Methods for detecting early warnings of critical transitions"
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always conduct your own analysis and risk management. Use at your own risk.
带和通道
MTF Bollinger Swing Table (TF bg light grey)Indicator colour Meaning :
State rules & color mapping (priority order applies):
* If upper is challenged → Light Red.
* Else if upper not challenged AND upper curved down → Dark Red.
* If lower is challenged → Light Green.
* Else if lower not challenged AND lower curved up → Dark Green.
* Otherwise → Neutral (gray).
Daily Key Levels (Staggered Start)Daily Key Levels (Staggered Start)
Tên chỉ báo đã nói lên mọi thứ rồi. Dùng thử nhé
Diganta ATR LevelsThis Script Plots the ATR levels based on the following logic
1. The Open price of 9.15 is considered.
2. Then based on the Open Price the ATR levels are plotted.
3. The ATR length is 180
4. ATR multiplier is 1 ( extended by 25% on both sides)
Quantrader📊 Overview
This custom indicator combines intraday session analysis with multi-timeframe trend confirmation to identify high-probability trading opportunities. It features:
Custom intraday session tracking (GMT+7 timezone)
Multi-level moving average confluence (SMA 20, 100, 200)
Bollinger Bands mean reversion signals
Key intraday reference levels
⚙️ Core Components
1. Custom Intraday Session Tracking
Session Start: 7:00 AM GMT+7 (Vietnamese market open)
Calculates per session:
Intraday High/Low (resets at 7:00 AM daily)
Intraday Midline = (Session High + Session Low) / 2
Pre-Day Center = Previous day's midline (carried forward)
Open Day = First 15-minute candle's open price
2. Trend Analysis Framework
SMA 20 (Short-term momentum)
SMA 100 (Medium-term trend)
SMA 200 (Long-term trend direction)
Bollinger Bands (20-period, 2 standard deviations)
3. Signal Detection Logic
Bullish Mean Reversion Setup:
javascript
Condition 1: Green candle closes ABOVE Upper Bollinger Band
Condition 2: Following candle is ALSO green
→ Triggers: Green highlight + Triangle below bar
Bearish Mean Reversion Setup:
javascript
Condition 1: Red candle closes BELOW Lower Bollinger Band
Condition 2: Following candle is ALSO red
→ Triggers: Red highlight + Triangle above bar
🎯 Visual Elements
Element Color Description
Intraday Midline Blue Real-time session midpoint
Pre-Day Center Yellow Yesterday's midline (reference)
Open Day Purple (dashed) Day's opening price
SMA 20 Red Short-term trend
SMA 100 Green Medium-term trend
SMA 200 Orange Long-term trend
Bollinger Bands Red/Green/Blue Volatility boundaries
Bull Signal Green triangle ↓ Oversold bounce potential
Bear Signal Red triangle ↑ Overbought rejection potential
📈 Trading Applications
1. Trend Confirmation
Bullish Alignment: Price > All SMAs + Above Intraday Midline
Bearish Alignment: Price < All SMAs + Below Intraday Midline
2. Mean Reversion Opportunities
Overbought Scenario: Consecutive green candles above Upper BB → Potential reversal
Oversold Scenario: Consecutive red candles below Lower BB → Potential bounce
3. Intraday Level Trading
Intraday Midline: Dynamic support/resistance
Pre-Day Center: Psychological reference level
Open Day: Key opening price level
⚡ Key Features
Automatic Session Reset: Daily at 7:00 AM GMT+7
Multi-Timeframe Confluence: Combines intraday, daily, and trend analysis
Clean Visual Design: Non-cluttered, focused on key levels
Real-Time Calculation: All levels update with each new candle
🛠️ Recommended Settings
Timeframe: 15-minute to 1-hour charts
Markets: Forex, Indices, Commodities
Best Pairs: EURUSD, XAUUSD, VN30, USDJPY
Trading Style: Swing trading, Day trading
📖 Usage Tips
Trend Trading: Enter in direction of SMA alignment (20 > 100 > 200 for bullish)
Mean Reversion: Use BB signals at key intraday levels (Midline, Pre-Day Center)
Confirmation: Wait for candle close above/below key levels
Risk Management: Place stops beyond opposite intraday extreme
🎨 Customization Options
Users can modify:
Session start time (line 6)
Bollinger Band parameters (length, multiplier)
SMA periods
Color schemes
Price Channel Breakout Strategy — Long & ShortThis strategy is a dual-direction Price Channel breakout system designed for high-volatility indices such as US30, NAS100, and XAUUSD.
It enters long when price breaks above the highest high of the past N bars, and enters short when price breaks below the lowest low.
A key feature is the use of fixed dollar-based take-profit and stop-loss, making the strategy adaptive across symbols with different tick values.
Core Logic
Long entry when price breaks the N-bar high
Short entry when price breaks the N-bar low
Dollar-based TP and SL (converted to ticks automatically)
Suitable for trending and breakout-friendly markets
Backtest Notes (US30 Example)
Sharpe Ratio: 2.7
Profit Factor: 2.111
Total Return (12-month backtest): +46.89%
Max Drawdown: 0.26%
Trades: 3,666
This strategy performs well in sustained volatility environments and is particularly effective for intraday momentum bursts on US30.
BTC Price Prediction Model [Global PMI]V2🇺🇸 English Guide
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
💡 Unique Insight: PMI & The 4-Year Cycle
A key distinguishing feature of this model is the hypothesis that Bitcoin's famous "4-Year Halving Cycle" may be intrinsically linked to the Global Business Cycle (PMI), rather than just supply shocks.
Therefore, the model incorporates PMI as a valuation "Amplifier".
Note: Due to TradingView data limitations, US PMI is currently used as the proxy for the global cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
7. Support Us ❤️
If you find this indicator useful, please Boost 👍, Comment, and add it to your Favorites! Your support keeps us going.
🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
💡 独家洞察：PMI 与 4年周期
本模型的一个核心独特之处在于：我们认为比特币著名的“4年减半周期”背后的真正驱动力，可能与全球商业周期 (PMI) 高度同步，而不仅仅是供应减半。
因此，模型特别引入 PMI 作为估值的“放大器” (Amplifier)。
注：由于 TradingView 数据源限制，目前采用历史数据最详尽的美国 PMI 作为全球周期的代理指标。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
MA + ATR Channel V2This script creates a dynamic volatility channel (similar to a Keltner Channel). It plots a central Moving Average (SMA or EMA) to represent the baseline trend and uses the Average True Range (ATR) to calculate the Upper and Lower bands. The channel automatically widens during high volatility and narrows during low volatility.
Usage
Mean Reversion: In sideways markets, prices touching the outer bands often tend to revert back to the central line.
该脚本构建了一个基于波动率的动态通道（类似肯特纳通道）。它以**移动平均线（SMA或EMA）为中轴判断趋势，并利用真实波幅（ATR）**计算通道宽度。通道范围会随市场波动加剧而变宽，随波动平缓而收窄。
用法
震荡回归： 在横盘行情中，价格触及通道边缘时，往往有回调至中轴的倾向。
BTC Price Prediction Model [Global PMI]🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
🇺🇸 English Guide (英文说明)
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
MTF VWAP Resonance [By Testeded]📈 MTF VWAP Resonance Hunter
(多级别 VWAP 共振捕猎者 - 终极版)
🇬🇧 English Description
1. Design Philosophy: The Institutional Edge
While typical indicators measure simple price action, VWAP (Volume Weighted Average Price) measures Value and Institutional Cost.
Professional traders and algorithms anchor their decisions to time-based benchmarks: Daily, Weekly, Monthly, and Quarterly. When prices return to these levels, they are testing the average cost basis of the market participants from that period.
The Logic of "Multi-Level Resonance" (MTF): A single VWAP line can be broken. However, when the Daily VWAP, Weekly Upper Band, and Quarterly Basis all overlap at the exact same price level, a "Market Consensus" is formed. This tool uses a background algorithm to detect these overlaps across 6 Timeframes (4H to Year) and visualizes them as "Resonance Boxes" instead of cluttering your chart with lines.
2. Key Features
⚓ Anchored VWAP Engine: Calculates VWAP + Standard Deviation Bands for 4H, Daily, Weekly, Monthly, Quarterly, and Yearly cycles simultaneously.
⚡ Smart Resonance Radar: Automatically detects when levels from different timeframes cluster together.
2-Line Confluence: ⚡ (Watch)
3-Line Confluence: ⚡⚡ (Strong)
4+ Line Confluence: ⚡⚡⚡ (Iron Wall)
🧘 Visual Modes (Zen / Focus):
Full Mode: Shows lines, dashboard, and resonance boxes.
Focus Mode: Hides lines, keeps dashboard and boxes.
Zen Mode: Hides EVERYTHING except the Resonance Boxes. Pure price action.
🏢 The Quarterly Line: Specifically designed to track the Quarterly VWAP, a critical level for institutional rebalancing and earnings cycles.
🎨 Customizable UI: Adjustable table text size (Small to Huge) and display styles.
3. How to Trade
Identify the Wall: Look for Red Boxes (Resistance) or Green Boxes (Support) with high star ratings (⚡⚡).
Read the Dashboard: Check the label (e.g., Q VWAP + W Lower). This tells you exactly who is defending this level (e.g., "Quarterly Buyers defending cost").
Sniper Entry: Wait for price to touch the Resonance Box. These levels often trigger sharp reversals or major breakouts.
🇨🇳 中文说明 (Chinese Description)
1. 设计哲学：多级别的全局视角
布林带反映的是波动率，而 VWAP（成交量加权平均价） 反映的是**“真金白银的持仓成本”**。
机构交易者和算法通常会锚定特定的时间周期进行交易：日内、周线、月线以及季度线。 “多级别共振”的逻辑： 单一周期的 VWAP 很容易失效。但是，当 日线 VWAP、周线上轨 和 季度线成本 在同一个价格位置重叠时，意味着短线、中线和长线资金在此处达成了**“价值共识”。 本指标通过后台算法，同时监控 6个时间周期 (4H - 年线)，将这些重叠的价位转化为可视化的“共振框”**，提供一个多级别的全局视角。
2. 核心功能
⚓ 全周期锚定 VWAP：后台实时计算 4H, 日线, 周线, 月线, 季度线, 年线 的 VWAP 及其标准差轨道。
⚡ 智能共振雷达：自动检测不同周期的关键位重叠。
2线共振：⚡ (关注)
3线共振：⚡⚡ (强力支撑/阻力)
4线以上：⚡⚡⚡ (核弹级/铁壁共振)
🧘 显示模式 (Zen / Focus)：
全面模式：显示所有线条 + 表格 + 共振框。
专注模式：隐藏线条，保留表格 + 共振框。
极简模式 (Zen)：隐藏一切干扰，只显示共振框。像狙击手一样只看目标。
🏢 季度线增强：特别加入了 Quarterly VWAP (季度线)，这是机构季末调仓和财报周期的重要防守线。
🎨 高度客制化：支持调整表格文字大小（从“小”到“巨大”），适配各种分辨率屏幕。
3. 实战用法
寻找“墙壁”：关注图表上的 红色共振框 (阻力) 或 绿色共振框 (支撑)，尤其是带有 ⚡⚡ 标志的区域。
解读筹码：看一眼右上角的仪表盘标签（例如 Q VWAP + W Lower）。这意味着“季度级别的平均成本”与“周线级别的超卖线”重合，支撑力度极强。
警报交易：开启警报功能。不需要盯着屏幕，当价格撞上共振框时，指标会自动通知你。
Dual TF Bearish Divergence (Working)//@version=6
indicator("Dual TF Bearish Divergence (Working)", overlay=true)
// ----------------- SIMPLE BEARISH DIVERGENCE FUNCTION -------------------
bearDiv(src, rsiLen, lookbackMin, lookbackMax) =>
r = ta.rsi(src, rsiLen)
ph = ta.pivothigh(src, lookbackMin, lookbackMin)
ph_rsi = ta.pivothigh(r, lookbackMin, lookbackMin)
ph2 = ph
ph2_rsi = ph_rsi
priceHH = not na(ph) and not na(ph2) and ph > ph2
rsiLH = not na(ph_rsi) and not na(ph2_rsi) and ph_rsi < ph2_rsi
barsOk = lookbackMin >= lookbackMin and lookbackMin <= lookbackMax
priceHH and rsiLH and barsOk
// ----------------- TF CALLS -------------------
b60 = request.security(syminfo.tickerid, "60", bearDiv(close, 14, 10, 15))
b240 = request.security(syminfo.tickerid, "240", bearDiv(close, 14, 10, 15))
dual = b60 and b240
// ----------------- PLOT -------------------
plotshape(dual, title="Dual Bear Div", style=shape.labeldown,
color=color.red, size=size.small, text="🔻BearDiv")
// ----------------- ALERT -------------------
alertcondition(dual, "Dual Bearish Div 60+240",
"Bearish Divergence on both 60m & 240m")
Custom MTF VWAP 5x This is a combination of all VWAPs I use to find high probability trade setups and targets by only taking trades when different VWAPs align
Humontre Signal Channel — Free EditionHumontre Signal Channel is a clean, high-clarity trend and volatility tool designed to help traders identify directional bias, momentum shifts, and breakout conditions with minimal noise.
The Free Edition provides the core engine behind the Humontre system: dynamic EMA bands, adaptive trend coloring, and precise LONG / SHORT signals.
Whether you trade Crypto, Forex, Indices or Stocks , the Signal Channel keeps you aligned with market structure in a simple and intuitive way.
🔍 How It Works
1. Dynamic EMA Channel
A fast-reacting EMA forms the core of the system. The channel boundaries can be calculated using:
ATR × Multiplier (recommended)
Percentage mode (alternative for low-volatility markets)
This creates a flexible volatility envelope that naturally highlights trend strength and momentum expansion.
2. Adaptive Trend Coloring
The EMA automatically shifts colors:
Green → bullish pressure
Red → bearish pressure
Clear, objective trend visualization without interpretation.
3. Long & Short Signals
Signals appear when price closes outside the band:
LONG → Close crosses above the upper band
SHORT → Close crosses below the lower band
Repeated signals in the same direction are filtered for cleaner momentum confirmation.
4. Multi-Market Ready
Works on all markets and timeframes:
Crypto
Forex
Indices
Stocks
Commodities
🆓 Free Edition Includes
Dynamic EMA Channel
ATR or % Band Mode
Adaptive Trend Colors
Clean LONG / SHORT Signals
Basic Alerts
Minimal, unobtrusive chart visuals
Ideal for learning the Humontre system and spotting breakout opportunities.
⭐ Upgrade to the Pro Edition (Invite-Only)
The Humontre Signal Channel — Pro Edition unlocks advanced professional features:
Automatic SL & TP levels
Dynamic Risk-to-Reward box
SL/TP labels & smart line system
Live trade tracking
Full trade history table
UI & theme customization
Alerts for SL/TP hits
Much more coming…
If you’d like access, feel free to contact me.
📌 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Always use proper risk management.
Forex indicator By petran Elevate your market analysis with this powerful, all-in-one visual toolkit designed for discretionary traders across Forex, indices, and commodities (metals).
Core Features:
Trading Sessions Overlay: Clear visual bands highlighting the Asian, London, and New York trading sessions directly on your chart. Never miss a market open or a session overlap again.
Smart Daily Levels: Automatically plots the most essential reference points from the previous day:
PDH / PDL (Previous Day High/Low) – Key support and resistance.
PWH / PWL (Previous Week High/Low) – Higher timeframe context.
DO (Day Open) – A crucial intraday pivot level.
Motivational Watermark: A unique and customizable text overlay at the top of your screen. Display your favorite trading quote, rule, or reminder to maintain the right mindset during the trading day.
Clean & Customizable: Designed for clarity. Adjust colors, session times, and watermark text to fit your personal trading style and chart aesthetics.
Why Traders Choose This Indicator:
Saves Time: No more manually drawing sessions or calculating yesterday's levels.
Improves Discipline: The visual sessions and watermark help you trade only during your planned times and follow your rules.
Universal Application: Works seamlessly on any liquid market where session activity and daily ranges matter.
Perfect for traders who rely on price action, session-based strategies, and need a clean, informative chart environment.
S.T. TREND INDICATORIt is TREND indicator. it has 8 supertrends which can be used for different higher time frame & with different atr & multiplier.which will give better idea of varius trend like long ,medium,short & immediate trend.it also has daily & weekly vwap. and two sma with adjustable length & timeframe. source used for calculation of supertrends is 1min HA candles.yyou can use it onnormal japnees candle also.
Pivot HL+50 EMA Hariss 369A simple indicator detects pivot highs and lows. Buy signal is fired when pivot high crosses and closes over previous pivot high and price is above 50 EMA in order to trade with trend.
Sell signal is fired when pivot low crosses and closes below the previous pivot low and price is below 50 EMA.
It is very simple to use this and one can visualize the trend with this indicator. It can be used for any type of asset and in any time frame.
Trend Trader//@version=6
indicator("Trend Trader", shorttitle="Trend Trader", overlay=true)
// User-defined input for moving averages
shortMA = input.int(10, minval=1, title="Short MA Period")
longMA = input.int(100, minval=1, title="Long MA Period")
// User-defined input for the instrument selection
instrument = input.string("US30", title="Select Instrument", options= )
// Set target values based on selected instrument
target_1 = instrument == "US30" ? 50 :
instrument == "NDX100" ? 25 :
instrument == "GER40" ? 25 :
instrument == "GOLD" ? 5 : 5 // default value
target_2 = instrument == "US30" ? 100 :
instrument == "NDX100" ? 50 :
instrument == "GER40" ? 50 :
instrument == "GOLD" ? 10 : 10 // default value
// User-defined input for the start and end times with default values
startTimeInput = input.int(12, title="Start Time for Session (UTC, in hours)", minval=0, maxval=23)
endTimeInput = input.int(17, title="End Time Session (UTC, in hours)", minval=0, maxval=23)
// Convert the input hours to minutes from midnight
startTime = startTimeInput * 60
endTime = endTimeInput * 60
// Function to convert the current exchange time to UTC time in minutes
toUTCTime(exchangeTime) =>
exchangeTimeInMinutes = exchangeTime / 60000
// Adjust for UTC time
utcTime = exchangeTimeInMinutes % 1440
utcTime
// Get the current time in UTC in minutes from midnight
utcTime = toUTCTime(time)
// Check if the current UTC time is within the allowed timeframe
isAllowedTime = (utcTime >= startTime and utcTime < endTime)
// Calculating moving averages
shortMAValue = ta.sma(close, shortMA)
longMAValue = ta.sma(close, longMA)
// Plotting the MAs
plot(shortMAValue, title="Short MA", color=color.blue)
plot(longMAValue, title="Long MA", color=color.red)
// MACD calculation for 15-minute chart
= request.security(syminfo.tickerid, "15", ta.macd(close, 12, 26, 9))
macdColor = macdLine > signalLine ? color.new(color.green, 70) : color.new(color.red, 70)
// Apply MACD color only during the allowed time range
bgcolor(isAllowedTime ? macdColor : na)
// Flags to track if a buy or sell signal has been triggered
var bool buyOnce = false
var bool sellOnce = false
// Tracking buy and sell entry prices
var float buyEntryPrice_1 = na
var float buyEntryPrice_2 = na
var float sellEntryPrice_1 = na
var float sellEntryPrice_2 = na
if not isAllowedTime
buyOnce :=false
sellOnce :=false
// Logic for Buy and Sell signals
buySignal = ta.crossover(shortMAValue, longMAValue) and isAllowedTime and macdLine > signalLine and not buyOnce
sellSignal = ta.crossunder(shortMAValue, longMAValue) and isAllowedTime and macdLine <= signalLine and not sellOnce
// Update last buy and sell signal values
if (buySignal)
buyEntryPrice_1 := close
buyEntryPrice_2 := close
buyOnce := true
if (sellSignal)
sellEntryPrice_1 := close
sellEntryPrice_2 := close
sellOnce := true
// Apply background color for entry candles
barcolor(buySignal or sellSignal ? color.yellow : na)
/// Creating buy and sell labels
if (buySignal)
label.new(bar_index, low, text="BUY", style=label.style_label_up, color=color.green, textcolor=color.white, yloc=yloc.belowbar)
if (sellSignal)
label.new(bar_index, high, text="SELL", style=label.style_label_down, color=color.red, textcolor=color.white, yloc=yloc.abovebar)
// Creating labels for 100-point movement
if (not na(buyEntryPrice_1) and close >= buyEntryPrice_1 + target_1)
label.new(bar_index, high, text=str.tostring(target_1), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar)
buyEntryPrice_1 := na // Reset after label is created
if (not na(buyEntryPrice_2) and close >= buyEntryPrice_2 + target_2)
label.new(bar_index, high, text=str.tostring(target_2), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar)
buyEntryPrice_2 := na // Reset after label is created
if (not na(sellEntryPrice_1) and close <= sellEntryPrice_1 - target_1)
label.new(bar_index, low, text=str.tostring(target_1), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar)
sellEntryPrice_1 := na // Reset after label is created
if (not na(sellEntryPrice_2) and close <= sellEntryPrice_2 - target_2)
label.new(bar_index, low, text=str.tostring(target_2), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar)
sellEntryPrice_2 := na // Reset after label is created
Grok/Claude Quantum Signal Pro * Enhanced v2# QSig Pro+ v2 — Dynamic RSI Enhancement
## Release: Quantum Signal Pro Enhanced v2
**Author:** ralis24 (with Claude assistance)
**Version:** 2.0
**Platform:** TradingView (Pine Script v6)
---
## Overview
Version 2 introduces **Trend-Adaptive RSI Thresholds** — a significant enhancement that dynamically adjusts buy and sell levels based on real-time trend strength. This allows the indicator to more effectively capture dips in uptrends and sell bounces in downtrends, rather than waiting for extreme oversold/overbought conditions that rarely occur during strong directional moves.
---
## The Problem v2 Solves
In the original QSig Pro+, RSI thresholds were fixed at 30 (oversold) and 70 (overbought). While these levels work well in ranging markets, they create issues in trending conditions:
- **Strong Uptrends:** Price rarely drops to RSI 30. Pullbacks typically bottom around RSI 40-50, causing missed buy opportunities.
- **Strong Downtrends:** Relief rallies rarely push RSI above 70. Bounces often exhaust around RSI 55-65, causing missed sell opportunities.
The v2 solution: **Let the market's trend strength dictate the appropriate RSI levels.**
---
## New Feature: Dynamic RSI Thresholds
### How It Works
The indicator now detects three distinct market states and applies corresponding RSI thresholds:
| Market State | Detection Criteria | RSI Buy Level | RSI Sell Level |
|--------------|-------------------|---------------|----------------|
| **Strong Uptrend** | +DI > -DI, ADX > 24, ADX rising | < 40 | > 80 |
| **Strong Downtrend** | -DI > +DI, ADX > 24, ADX rising | < 20 | > 60 |
| **Neutral/Ranging** | ADX < 24 or ADX falling | < 30 | > 70 |
### Trend State Detection Logic
```
Strong Uptrend = (+DI > -DI) AND (ADX > threshold) AND (ADX > ADX )
Strong Downtrend = (-DI > +DI) AND (ADX > threshold) AND (ADX > ADX )
Neutral = Neither condition met
```
### Anti-Whipsaw Protection
To prevent rapid switching between threshold sets during choppy transitions, a **confirmation buffer** requires the trend state to persist for a configurable number of bars (default: 2) before the indicator switches regimes.
---
## New Input Parameters
A new input group "**Dynamic RSI Thresholds**" has been added with the following settings:
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Enable Trend-Adaptive RSI Levels | ON | toggle | Master switch for the feature |
| ADX Strong Trend Threshold | 24 | 15-40 | ADX must exceed this to qualify as "strong" trend |
| ADX Rising Lookback (bars) | 3 | 1-10 | ADX must be higher than N bars ago to confirm rising |
| Trend Confirmation Bars | 2 | 1-5 | Bars trend must persist before switching thresholds |
| RSI Buy Level (Strong Uptrend) | 40 | 30-55 | Oversold threshold during confirmed uptrends |
| RSI Sell Level (Strong Uptrend) | 80 | 70-90 | Overbought threshold during confirmed uptrends |
| RSI Buy Level (Strong Downtrend) | 20 | 10-30 | Oversold threshold during confirmed downtrends |
| RSI Sell Level (Strong Downtrend) | 60 | 50-70 | Overbought threshold during confirmed downtrends |
| RSI Buy Level (Neutral/Ranging) | 30 | 20-40 | Standard oversold threshold |
| RSI Sell Level (Neutral/Ranging) | 70 | 60-80 | Standard overbought threshold |
---
## Enhanced Info Panel
The information panel now displays two new rows:
1. **Trend State** — Shows current regime: "STRONG UP" (green), "STRONG DOWN" (red), or "NEUTRAL" (gray)
2. **RSI Levels** — Displays the currently active thresholds (e.g., "40 / 80" during uptrends)
Additionally, the **ADX row** now includes a directional arrow (↑ or ↓) indicating whether ADX is rising or falling.
---
## Enhanced Signal Labels
Buy and sell labels on the chart now include contextual information:
**Before (v1):**
```
BUY: 97,234.50
```
**After (v2):**
```
BUY: 97,234.50
STRONG UP | RSI<40
```
This provides immediate visual confirmation of which threshold regime triggered the signal.
---
## Enhanced Alert System
### New Alert Conditions
Three new alerts have been added for trend state changes:
- **🔼 Strong Uptrend Started** — Fires when market transitions to strong uptrend (thresholds shift to 40/80)
- **🔽 Strong Downtrend Started** — Fires when market transitions to strong downtrend (thresholds shift to 20/60)
- **⚖️ Trend Neutralized** — Fires when trend weakens and thresholds reset to 30/70
### Enhanced Webhook JSON
The JSON alert payload now includes additional fields for bot integration:
```json
{
"action": "BUY",
"symbol": "BTC/USDT",
"price": "97234.50",
"rsi": "38.5",
"rsi_threshold": "40",
"adx": "28.3",
"fisher": "-1.87",
"trend_state": "STRONG UP"
}
```
---
## Bonus Enhancement: Dynamic Fisher Thresholds
As an additional refinement, the Fisher Transform thresholds now adjust slightly based on trend state:
| Trend State | Fisher Buy Level | Fisher Sell Level |
|-------------|------------------|-------------------|
| Strong Uptrend | -1.5 (loosened) | -2.0 (standard) |
| Strong Downtrend | -2.0 (standard) | +1.5 (loosened) |
| Neutral | -2.0 (standard) | +2.0 (standard) |
This allows the indicator to trigger signals in strong trends where momentum oscillators rarely reach extreme levels.
---
## Practical Trading Impact
### Strong Uptrend Example (BTC rally)
- **Before:** Waiting for RSI < 30 means missing most pullback entries
- **After:** RSI < 40 triggers buy signals on normal pullbacks within the trend
### Strong Downtrend Example (Bear market bounce)
- **Before:** Waiting for RSI > 70 means holding through entire relief rallies
- **After:** RSI > 60 triggers sell signals on bounce exhaustion
### Ranging Market
- Thresholds remain at traditional 30/70 levels where mean reversion works best
---
## Backward Compatibility
The dynamic RSI feature can be completely disabled by turning off "Enable Trend-Adaptive RSI Levels" in the settings. When disabled, the indicator behaves identically to v1 using the neutral threshold values (30/70).
---
## Summary of Changes
| Component | v1 | v2 |
|-----------|----|----|
| RSI Thresholds | Fixed 30/70 | Dynamic based on trend state |
| Trend State Detection | Not present | +DI/-DI + ADX + Rising confirmation |
| Whipsaw Protection | Not present | Configurable confirmation bars |
| Info Panel Rows | 10 | 12 (added Trend State, RSI Levels) |
| ADX Display | Value only | Value + direction arrow |
| Signal Labels | Price only | Price + Trend State + Threshold |
| Alert Conditions | 10 | 13 (added 3 trend state alerts) |
| Webhook Fields | 5 | 7 (added rsi_threshold, trend_state) |
| Fisher Thresholds | Fixed | Adaptive (subtle adjustment) |
---
## Recommended Settings by Market Type
### Crypto (High Volatility)
- ADX Strong Trend Threshold: 24
- RSI Buy (Uptrend): 40-45
- RSI Sell (Downtrend): 55-60
### Forex (Medium Volatility)
- ADX Strong Trend Threshold: 22
- RSI Buy (Uptrend): 38-42
- RSI Sell (Downtrend): 58-62
### Stocks/Indices (Lower Volatility)
- ADX Strong Trend Threshold: 20
- RSI Buy (Uptrend): 35-40
- RSI Sell (Downtrend): 60-65
---
## Installation
1. Open TradingView and navigate to Pine Editor
2. Remove or rename existing QSig Pro+ indicator
3. Paste the complete v2 code
4. Click "Add to Chart"
5. Configure Dynamic RSI Thresholds in settings as desired
---
*QSig Pro+ v2 — Smarter entries through trend-aware signal generation*
3:55 PM Candle High/Low Levels (ARADO VERSION)a lil better in smaller tfs. Its a veryyyyy cool indicator guys (thanks ivan)
Fib Golden RatioDynamic Fib High → Low (0.5 & 0.618)
This indicator automatically tracks the current day’s High and Low and plots the key Fibonacci retracement levels 0.5 (50%) and 0.618 (Golden Ratio) based on the live intraday price range.
The tool is designed for traders who want simple, clean, and dynamic intraday Fibonacci levels without clutter on the chart.
How It Works
Detects the start of a new trading day
Tracks the highest high and lowest low of the current day
Continuously recalculates:
Fibonacci 0.5 (Midpoint)
Fibonacci 0.618 (Golden Ratio)
Plots clean continuous lines across the chart
Fib is calculated from High → Low, matching how typical intraday fib tools are visually applied
Why This Indicator
No drawings to manually adjust
No user configuration required
Extremely lightweight and fast
Automatically adjusts as the day progresses
Perfect for identifying intraday mean reversion zones, pullback zones, and reaction levels
Ideal Use Cases
Intraday directional trading
Scalping pullbacks
Mean reversion setups
Identifying dynamic support/resistance zones
Option scalping (CE/PE)
Anchored VWAP + Bands + Signals//@version=5
indicator("Anchored VWAP + Bands + Signals", overlay=true)
// ===== INPUTS =====
anchorTime = input.time(timestamp("2025-12-02 00:00"), "Anchor Date/Time")
std1 = input.float(1.0, "±1σ Band")
std2 = input.float(2.0, "±2σ Band")
// ===== VWAP CALCULATION =====
var float cumPV = 0.0
var float cumVol = 0.0
if time >= anchorTime
cumPV += close * volume
cumVol += volume
vwap = cumVol != 0 ? cumPV / cumVol : na
// ===== STANDARD DEVIATION =====
barsSinceAnchor = bar_index - ta.valuewhen(time >= anchorTime, bar_index, 0)
sd = barsSinceAnchor > 1 ? ta.stdev(close, barsSinceAnchor) : 0
// ===== BANDS =====
upper1 = vwap + std1 * sd
lower1 = vwap - std1 * sd
upper2 = vwap + std2 * sd
lower2 = vwap - std2 * sd
plot(vwap, color=color.orange, title="VWAP")
plot(upper1, color=color.green, title="+1σ Band")
plot(lower1, color=color.green, title="-1σ Band")
plot(upper2, color=color.red, title="+2σ Band")
plot(lower2, color=color.red, title="-2σ Band")
// ===== SIGNALS =====
buySignal = ta.crossover(close, lower1)
sellSignal = ta.crossunder(close, upper1)
plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotshape(sellSignal, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
alertcondition(buySignal, title="Buy Alert", message="Price touched lower 1σ band – Buy Opportunity")
alertcondition(sellSignal, title="Sell Alert", message="Price touched upper 1σ band – Sell Opportunity")
Daily Anchored VWAPAnchors VWAP to whatever time you want instead of the usual start of session. I use it for BTC so that I can anchor around NY open instead of the night before.
Donchian ForecastDonchian Forecast – multi-timeframe Donchian/ATR bias with ADX regime blending
Donchian Forecast is a multi-timeframe bias tool that turns classic Donchian channels into a normalized trend/mean-reversion “forecast” and a single bias value in .
It projects a short polyline path from the current price and shows how that path adapts when the market shifts from ranging to trending (via ADX).
---
Concept
1. Donchian position → direction
For each timeframe, the script measures where price sits inside its Donchian channel:
-1 = near channel low
0 = middle
+1 = near channel high
This Donchian position is multiplied by ATR to create a **price delta** (how far the forecast moves from current price).
2. Local behavior: trend vs mean-reversion around Donchian
The indicator treats the edges vs middle of the Donchian channel differently:
* By default, edges behave more “trend-like”, middle more “mean-reverting”.
* If you enable the reversed option, this logic flips (edges = mean-reverting, middle = trend-
like).
* This “local” behavior is controlled smoothly by the absolute Donchian position |pos| (not by hard zone switches).
3. Global ADX modulation (regime aware)
ADX is mapped from your chosen low → high thresholds into a signed factor in :
* ADX ≤ low → -1 (fully reversed behavior, more range/mean-reversion oriented)
* ADX ≥ high → +1 (fully normal behavior, more trend oriented)
* Values in between create a **smooth transition**.
* This global factor can:
* Keep the local behavior as is (trending regime),
* Flip it (range regime), or
* Neutralize it (indecisive regime).
4. Multi-timeframe aggregation (1x–12x chart timeframe)
* The script repeats the same logic across 12 horizons:
* 1x = chart timeframe
* 2x..12x = multiples of the chart timeframe (e.g., 5m → 10m, 15m, …; 1h → 2h, 3h, …).
* For each horizon it builds:
* Donchian position
* ATR-scaled delta (in price units)
* Locally + globally blended delta (after Donchian + ADX logic).
* These blended deltas are ATR-weighted and summed into a single bias in , which is then shown as Bias % in the on-chart table.
---
### What you see on the chart
* Forecast polyline
* Starting at the current close, the indicator draws a short chain of **up to 12 segments**:
* Segment 1: from current price → 1x projection
* Segment 2: 1x → 2x projection
* … up to 12x.
* Each segment is:
* Green when its blended delta is ≥ 0 (upward bias)
* Red when its blended delta is < 0 (downward bias)
* This is not future price, but a synthetic path showing how the Donchian/ATR/ADX model “expects” price to drift across multiple horizons.
* Bias table (top-center)
* `Bias: X.Y%`
* > 0% (green) → net upward bias across horizons
* < 0% (red) → net downward bias
* Magnitude (e.g., ±70–100%) ≈ strength of the directional skew.
* `ADX:` current ADX value (from your DMI settings).
* `ADXBlend:` the signed ADX factor in :
* +1 ≈ fully “trend-interpretation” of Donchian behavior
* 0 ≈ neutral / mixed regime
* -1 ≈ fully “reversed/mean-reversion interpretation”
---
Inputs & settings
Core Donchian / ATR
* Donchian Length – lookback for Donchian high/low on each horizon.
* Price Source – input series used for position inside the Donchian channel (default: close).
* ATR Length – ATR lookback for all horizons.
* ATR Multiplier – scales the size of each forecast step in price units (higher = longer segments / more aggressive forecast).
*Local behavior at high ADX
* Reversed local blend at high ADX?
* Off (default) – edges behave more trend-like, middle more mean-reverting.
* On – flips that logic (edges more mean-reverting, middle more trend-like).
* The actual effect is always modulated by the global ADX factor, so you can experiment with how the regime logic feels in different markets.
Global ADX blending
* DMI DI Length – period for the DI+ and DI- components.
* ADX Smoothing – smoothing length for ADX.
* ADX low (mean-rev zone) – below this level, the global factor pushes behavior toward reversal/range logic .
* ADX high (trend zone) – above this level, the global factor pushes behavior toward **trend logic**.
* Values between low and high create a smooth blend rather than a hard on/off switch.
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How to use it (examples)
* Directional bias dashboard
* Use the Bias % as a compact summary of multi-horizon Donchian/ATR/ADX conditions:
* Consider only trades aligned with the sign of Bias (e.g., longs only when Bias > 0).
* Use the magnitude to filter for **strong vs weak** directional contexts.
* Regime-aware context
* Watch ADX and ADXBlend:
* High ADX & ADXBlend ≈ +1 → favor trend-continuation ideas.
* Low ADX & ADXBlend ≈ -1 → favor range/mean-reversion ideas.
* Around 0 → mixed/transition regimes; forecasts will be more muted.
* Visual sanity check for systems
* Overlay Donchian Forecast on your usual entries/exits to see:
* When your system trades **with** the multi-TF Donchian bias.
* When it trades **against** it (possible fade setups or no-trade zones).
This script does not generate entry or exit signals by itself. It is a contextual/forecast tool meant to sit on top of your own trading logic.
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Notes
* Works on most symbols and timeframes; higher-timeframe multiples are built from the chart timeframe.
* The forecast line is a model-based projection, not a prediction or guarantee of future price.
* Always combine this with your own risk management, testing, and judgement. This is for educational and analytical purposes only and is not financial advice.
