Big Trades Whale Detector [Volume Anomalies] By HKOverview The "Big Trade Detector" helps you spot institutional footprints by identifying volume anomalies that act as outliers compared to recent history. It uses statistical analysis (Standard Deviation) to filter out noise and highlight only significant buying or selling pressure.
Features:
Volume Decomposition: Approximates buy/sell volume based on price action within the candle (Close vs. Range).
3-Tier Detection: Uses dynamic thresholds to categorize volume spikes into Small, Medium, and Extreme events.
Smart Calculation: Compares current volume against the previous average to detect sudden shifts in momentum.
Visuals:
Green Circles (Below Bar): Unusual Buying Pressure (Support defense or Breakout).
Red Circles (Above Bar): Unusual Selling Pressure (Resistance defense or Dump).
Size Matters: The larger the circle, the higher the standard deviation (Sigma) of that volume event.
ความผันผวน
DeltaReact - Volume and Orderflow ReactivityThis indicator is designed to visualise institutional participation and directional pressure using a multi-timeframe blend of volume expansion, delta imbalance, and trend context.
Unlike traditional volume or momentum tools, it focuses on relative change rather than absolute values.
Core Concepts
The script measures:
Volume expansion relative to its own moving baseline
Delta strength derived from directional volume imbalance
Directional agreement between delta, volume, and trend state
Multi-timeframe structure, allowing lower-timeframe signals to be viewed in higher-timeframe context
What Makes This Different
Most volume-based indicators treat volume and delta independently. This tool:
Normalises both metrics into percentage-based strength
Applies contextual filters to reduce noise
Highlights structural shifts rather than raw spikes
Provides clear visual hierarchy for participation intensity
How to Use
Strong delta + volume expansion suggests active participation
Directional alignment improves confidence
Signals are designed for confluence, not standalone entries
Works across assets and sessions without instrument-specific tuning
Access & Availability
This script is published as invite-only to control distribution.
If you would like to request access or learn more about usage, please contact the author via TradingView direct message.
Important Notes
This indicator is not a trading strategy and does not provide buy or sell signals.
It is intended as a decision-support tool to be used alongside risk management and broader market analysis.
Market Session Terrain Monitor v1.0Summary
Market Session Terrain Monitor helps traders understand where the market is within its normal intraday behavior, not where it should go. It is a decision-support tool designed to reduce late entries, over-trading, and narrative bias by grounding intraday analysis in historical session statistics.
Purpose
Market Session Terrain Monitor provides statistical context for intraday market movement by analyzing how much each major trading session typically moves, how much it has moved so far, and what market state the current session inherits from previous sessions.
The indicator is designed to answer one core question:
Is the current session early, normal, or already expanded relative to its historical behavior?
This indicator does not predict direction and does not generate buy or sell signals. It is intended as a context and state-awareness tool to support independent, structure-based decision making.
Sessions Analyzed
The trading day is divided into three independent sessions, defined in UTC time:
• Asia
• London
• New York
Each session is analyzed separately using its own historical data. No session is assumed to control or predict the behavior of another.
Session Range
For each session, the indicator measures the session range, defined as the session high minus the session low. This captures how much the market actually moved during that session, regardless of direction.
P90 Expansion Benchmark
For each session, the indicator calculates a P90 expansion benchmark.
• P90 represents the range that only about ten percent of historical sessions exceed
• It reflects a large but repeatable expansion, not an extreme outlier
• It is used as a normalization reference so sessions with different volatility characteristics can be compared on equal terms
The P90 values are displayed in the table header in price units, such as USD, as a reference for scale.
Percent of P90
Current and previous session ranges are expressed as a percentage of that session’s own P90.
This shows:
• How much of a statistically large session has already been used
• Whether the session is still early, behaving normally, or approaching expansion
Rolling Comparative Table
The table displays three rows, ordered by time and anchored to the current active session:
• Current · Session
• Previous · Session
• Previous-2 · Session
Each row shows:
• Session name
• Session range in price units
• Session range as a percentage of that session’s P90
This rolling layout provides context about the market state inherited by the current session without implying causality.
How to Use the Indicator
The indicator helps with:
• Identifying whether a session is early or late in its statistical range
• Avoiding entries when a session is already stretched
• Recognizing compression versus expansion regimes
• Understanding the market state the current session inherits
The indicator does not:
• Predict direction
• Forecast highs or lows
• Assume that one session determines the next
Directional decisions should come from price structure, execution rules, and risk management.
Design Philosophy
• Range first, direction second
• State awareness over narrative
• Statistical normalization instead of absolute numbers
• Comparative, not predictive
The indicator intentionally avoids estimating remaining range or subtracting previous session movement, as those approaches introduce bias and false causality.
Suitable Markets
• Gold and silver
• Forex pairs
• Indices
• Other liquid instruments with clear session behavior
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions
Overview
ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength.
Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions.
The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves.
Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength.
Conceptual Framework
ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines.
Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes.
Three guiding principles define the framework:
Volatility must be conditioned on trend strength
Extremes occur within zones, not at lines
Signals should emerge from completed wave transitions, not instantaneous touches
This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation.
Theoretical Foundation
The indicator fuses directional movement theory with statistical volatility modeling.
Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium.
From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases.
At its core are three interacting systems:
ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves.
Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions.
State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium.
This structure ensures that signals reflect completed volatility waves, not transient noise.
How It Works
ADX Volatility Waves processes price action through layered wave mechanics:
Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength.
Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions.
Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves.
Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave.
Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals.
Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form.
Together, these processes create a continuous, adaptive wave map of volatility behavior.
Interpretation
ADX Volatility Waves reframes market reading around volatility cycles:
Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility.
Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion.
Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals.
Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion.
Wave progression and completion matter more than single-bar interactions.
Signal Logic & Visual Cues
ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period.
Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger.
Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress.
All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods.
Strategy Integration
ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks:
Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries.
Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion.
Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions.
Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves.
Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior.
Technical Implementation Details
Core Engine : ADX-normalized volatility expansion
Wave System : Smoothed, offset, expanded volatility waves
Visualization : Multi-layer gradient wave zones
Signal Logic : State-based wave transitions with cooldown enforcement
Alerts : Wave entry, wave completion, volatility compression
Performance Profile : Lightweight, real-time optimized overlay
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Short-term volatility waves and intraday transitions
15 - 60 min : Structured intraday wave cycles
4H - Daily : Macro volatility regimes and expansion phases
Suggested Baseline Configuration:
BB Length : 20
BB StdDev : 1.5
ADX Length : 14
ADX Influence : 0.8
Wave Offset : 1.0
Wave Width : 1.0
Neutral Confirmation : 5 bars
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets exhibiting rhythmic volatility expansion and contraction
Assets with responsive ADX regime behavior
Reduced Effectiveness:
Erratic, news-driven price action
Illiquid markets with distorted volatility metrics
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend tools
Discipline : Respect wave completion and cooldown logic
Risk Framing : Interpret wave depth probabilistically, not predictively
Regime Awareness : Always contextualize waves within ADX strength
Disclaimer
ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Trend + Liquidity Master Trend & Liquidity Master
A Professional All-in-One Trading System combining Dynamic Trend Analysis with Smart Money Liquidity Zones
---
## 🎯 Overview
The Trend & Liquidity Master is a comprehensive trading indicator that merges institutional-grade trend detection with smart money liquidity mapping. Designed for traders who want to align with market structure while identifying high-probability entry zones, this system provides clear visual signals backed by multi-layered confirmation filters.
## ⚡ Core Features
### 📊 **Adaptive Trend Cloud**
- Multi-Algorithm Support: Choose between EMA, SMA, HMA, or RMA for trend calculation
- Volatility-Based Bands: Dynamic ATR bands that expand/contract with market conditions
- Anti-Chop Filter: Maintains trend state during consolidation to reduce false signals
- Visual Clarity: Color-coded cloud system (Green = Bullish, Red = Bearish - customisable)
### 🧱 **Smart Liquidity Zones**
- Supply & Demand Boxes: Automatically identifies institutional support/resistance levels
- Pivot-Based Detection: Uses swing high/low analysis to map liquidity pools
- Dynamic Mitigation: Zones auto-delete when price invalidates them
- Clean Visual Design: Semi-transparent boxes that don't clutter your chart
### 🎯 **Multi-Filter Signal System**
- Volume Confirmation: Optional filter to ensure signals occur on above-average volume
- RSI Screening: Avoid overbought buys and oversold sells (toggleable)
- Trend Alignment: Signals only trigger on confirmed trend changes
- Clear Entry Labels: BUY/SELL markers appear directly on the chart
### 🖥️ **Professional HUD Dashboard**
Real-time market intelligence display showing:
- Trend Bias: Current market direction (Bullish/Bearish)
- Momentum Status: Strength classification (Strong/Neutral/Weak)
- Volume State: Current volume relative to average (High/Low)
- Customizable Position & Styling: Place anywhere on your chart
---
## 🛠️ Customization Options
### **Trend Engine**
- Adjustable MA type and length
- Volatility multiplier for band sensitivity
- Source selection (Close, Open, HL2, etc.)
### **Liquidity Detection**
- Pivot lookback period (sensitivity control)
- Zone extension bars
- Toggle zones on/off independently
### **Signal Filters**
- Enable/disable volume filter
- Enable/disable RSI filter
- Fine-tune to match your trading style
### **Visual Design**
- Custom colors for bullish/bearish/neutral states
- Candle coloring option
- Dashboard styling and positioning
- Adjustable text and UI sizing
---
## 📈 How to Use
1. Identify the Trend: Wait for price to break above the upper band (Bullish) or below the lower band (Bearish)
2. Watch for Signals: BUY labels appear when trend turns bullish with confirmation; SELL labels for bearish turns
3. Confirm with Liquidity: Use Supply/Demand zones as potential entry refinement or profit targets
4. Monitor the HUD: Check momentum and volume states for additional confluence
5. Set Alerts: Built-in alert conditions for automated notifications
---
## 💡 Best Practices
- **Higher Timeframes**: Works best on 15m+ charts for reduced noise
- **Trend Following**: This is a trend-following system—avoid counter-trend trades
- **Multiple Confirmations**: Combine signals with liquidity zones for highest probability setups
- **Risk Management**: Always use proper position sizing and stop losses
---
## 🔔 Alert System
Pre-configured alerts for:
- Long entry signals (Apex Buy Alert)
- Short entry signals (Apex Sell Alert)
- Automatic ticker symbol insertion
---
## 📝 Notes
- Maximum 50 boxes and lines for optimal performance
- Liquidity zones automatically manage themselves (old zones removed)
- All components can be toggled independently
- Compatible with all markets (Forex, Crypto, Stocks, Indices)
---
## 🎨 What Makes This Different?
You get the best of both worlds: smart money zones that show where liquidity sits, combined with clear trend signals that tell you when to act.
---
Ready to trade with institutional-grade market intelligence? Add the Trend & Liquidity Master to your chart today.
---
*Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and practice proper risk management.*
Manipulation Candle SystemThis indicator is based on One Candle Scalping Strategy by ProRealAlgos
## **Manipulation Candle System – Simple Explanation**
This indicator helps traders identify **potential market manipulation** during the **US stock market session (New York)** and highlights **key reversal signals**.
---
### **1. Daily ATR (Average True Range)**
* Measures the **average price movement** of the day.
* Helps determine if a move is **normal** or **abnormally large**.
* The indicator calculates **daily ATR** automatically.
* If 15 minute opening candle is more than 25% of Daily ATR, we can call it manipulation is happen .
---
### **2. 15-Minute Opening Candle Box**
* Highlights the **first 15-minute candle** of the US session.
* The box **extends for 2 hours** after the market opens.
* **Color indicates market condition**:
* **Red box** → the opening candle range is bigger than 25% of the daily ATR → potential **manipulation**.
* **Blue box** → the opening candle range is normal → **neutral session**.
* Helps traders visually spot when the market might be trying to **trap traders**.
---
### **3. 5-Minute Reversal Detection**
* Looks for **reversal candle patterns** on the 5-minute chart:
* Bullish engulfing or strong bullish pin → **buy reversal**.
* Bearish engulfing or strong bearish pin → **sell reversal**.
* Only checks during the **US session**, after 15 minute opening candle.
* Helps traders **time entries** in the direction of potential market reversals.
---
### **4. Buy / Sell Signals**
* Shows **triangle markers** on the chart:
* **Green triangle below candle** → buy signal.
* **Red triangle above candle** → sell signal.
* The signal text also indicates:
* `"BUY (Trap Reversal)"` → if the reversal occurs during manipulation.
* `"BUY (Normal Reversal)"` → if the reversal occurs during a neutral session.
* `"SELL (Trap Reversal)"` → if a sell reversal occurs during manipulation.
* `"SELL (Normal Reversal)"` → otherwise.
---
### **5. Info Table**
* Appears at the **top-right** of the chart.
* Shows:
1. Daily ATR value.
2. 15-minute opening candle range.
3. Session condition → `"MANIPULATION"` or `"NEUTRAL"`.
4. Current reversal signal text.
---
### **How a New Trader Can Use It**
1. Look at the **color of the opening box**:
* Red → be cautious, price may trap traders.
* Blue → normal market behavior.
2. Watch for **reversal signals** on the 5-minute chart.
3. Use the **info table** to confirm ATR, session bias, and signals.
4. Combine this with **risk management** before entering trades.
Momentum Engine: Stage AnalysisOverview: This dashboard is a comprehensive momentum analysis tool designed for the Indian stock market (adaptable to others). It evaluates a stock's health by analyzing its trend structure, relative strength against a benchmark, volume activity, and price volatility.
Dashboard Metrics & Interpretation: Each row in the dashboard provides a specific diagnostic check for the stock.
Trend Structure: Identifies the current phase of the stock's life cycle.
✅ Power Trend (Stage 2): The strongest bullish signal. The stock is in a confirmed uptrend indicating powerful momentum.
⚠️ Stage 2 (Developing): The stock price is rising, but the momentum alignment is not yet perfect. It is positive but may be in the early stages or correcting.
❌ Mixed / Stage 4: The stock is either in a downtrend (falling price) or moving sideways without clear direction. It is technically weak.
RS vs BenchmarkCompares the stock's performance against a selected market index (e.g., Nifty 50, Sensex, Smallcap).
💪 Beating : The stock is outperforming the market. Even if the market is flat, this stock is rising. This indicates market leadership.
⚠️ Lagging : The stock is underperforming. It is weaker than the general market, suggesting a lack of institutional interest.
Tightness (VCP) Checks if the price action is "tightening" (Volatility Contraction Pattern).
✅ Tight (VCP): The price swings are getting smaller and calmer. This "calm before the storm" often precedes a major breakout.
❌ Loose: The price action is wide and choppy. The stock is "noisy," making it difficult to manage risk effectively.
The Final Verdict: The "Verdict" synthesizes all metrics into a single actionable status.Verdict 🚀 A+ BREAKOUT🟩 Green: The Perfect Setup. The stock is in a Power Trend, beating the market, has tightened up (VCP), and is sitting just below the breakout point. High probability.
💪 VOL MOMENTUM🟦 Blue High Velocity. The stock has strong trend and volume but might be imperfect (e.g., a bit loose or volatile). Suitable for aggressive traders riding momentum.👀
WATCH LIST🟧 Orange Getting Ready. The stock has a great structure but is not ready to buy yet (e.g., price is too far from the pivot). Keep it on your radar.
WAIT⬜ Gray No Setup. The stock is weak, lagging, or broken. Ignore it for now.
⚠️ WARNING & DISCLAIMER
Trading involves substantial risk of loss. This tool is a technical analysis aid only and does not guarantee future performance.
No Guarantees: A "Power Trend" or "A+ Breakout" signal does not ensure the stock will rise. Market conditions can change instantly due to news, earnings, or global events.
Not Financial Advice: This script is for educational and analytical purposes only. It is not a recommendation to buy or sell any specific security.
Use Caution: Always perform your own research (DYOR) and use strict risk management (Stop Losses) regardless of what the indicator says. The indicator is based on historical data, which may not predict future movements.
Trend Core Strategy v1.0 - GUMROADLog Regression Channel Pro Strategy
This is a trend-following pullback strategy built for TradingView (Pine Script v6).
It uses logarithmic regression channels to define the market’s primary trend, and looks for low-risk pullback entries within strong trending conditions.
Momentum and trend strength filters are applied to avoid ranging or weak markets.
This strategy is designed to be used when the market is clearly trending, not during choppy or sideways price action.
Best Used When
Strong uptrend or downtrend is present
Price is pulling back toward the regression channel
Volatility is sufficient (ADX confirms trend strength)
Suitable for 1H / 4H timeframes
Commonly used on BTC, ETH, and major crypto pairs
Key Characteristics
Non-repainting logic
Volatility-based risk management (ATR)
Designed for realistic backtesting
No martingale, no grid, no over-optimization
Gumroad Disclaimer (3 Lines)
This strategy is provided for educational purposes only and is not financial advice.
Trading involves risk, and losses may occur.
You are fully responsible for your own trading decisions.
Vector Trinity I: Structure [VWAP-DBB] This indicator is **Part 1** of the "Vector Trinity" trading system—a comprehensive, data-driven framework designed to analyze market behavior through three distinct physical dimensions:
* **I: Structure (Space):** Defines the battlefield and volatility boundaries (Current Indicator).
* **II: Impulse (Time):** Identifies momentum ignition and energy release.
* **III: Flow (Energy):** Validates the move via volume and capital flow.
**2. Core Logic: Why Rolling VWAP?**
Most standard Bollinger Bands use a Simple Moving Average (SMA) as the centerline. The flaw in SMA is that it treats every candle equally, regardless of trading activity.
**Vector Trinity I** replaces the SMA with a **Rolling VWAP (Volume-Weighted Average Price)** over a rolling window (default 20).
* **Data Logic:** Price combined with Volume represents the true "cost basis" of the market.
* **Behavior:** The centerline becomes "sticky" during high-volume nodes and moves faster when real capital enters. It represents the *True Mean* of the market structure.
**3. The Dual-Band "Highway" Structure**
Instead of a single channel, this system utilizes a Double Bollinger Band (DBB) architecture based on Standard Deviations (StdDev) from the VWAP:
* **The Noise Zone (Basis to 1.0 StdDev):** The empty space in the middle. Price action here is often choppy and directionless.
* **The Acceleration Zone (1.0 to 2.0 StdDev):** The filled "Cloud." When candles close and stay within this zone, it indicates a strong trend (The Highway).
* **The Reversion Zone (> 2.0 StdDev):** Price is statistically extended and may revert to the mean.
**4. Volatility Squeeze Detection**
The indicator integrates a mechanical "Squeeze" detection based on the relationship between the Bollinger Bands (Variance) and Keltner Channels (ATR).
* **Squeeze ON (Orange Cloud & Dots):** Daily variance is at extreme lows. Energy is compressing. Do not trade direction; prepare for a breakout.
* **Squeeze OFF (Grey Cloud):** Expansion phase. Volatility is returning to the market.
**5. How to Use**
* **Step 1:** Observe the **Purple Line (VWAP)**. Its slope dictates the dominant trend structure.
* **Step 2:** Look for **Orange Zones**. This indicates a "Squeeze." Wait for the cloud to turn Grey.
* **Step 3:** Trade the breakout when price closes inside the "Acceleration Zone" (between the inner and outer bands) accompanied by Volume.
**Settings:**
* **Rolling Length:** 20 (Standard for swing/day trading).
* **Inner/Outer Bands:** 1.0 / 2.0 (The standard trend definition).
* **Squeeze Sensitivity:** 1.5 (Standard KC Multiplier).
---
### **中文说明**
**1. 简介：矢量三位一体系统 (Vector Trinity)**
本指标是“矢量三位一体”交易系统的 **第一部分**。这是一套基于数据逻辑的综合分析框架，旨在通过三个物理维度解构市场行为：
* **I: Structure 结构 (空间)：** 定义价格运行的战场边界与波动率结构（本指标）。
* **II: Impulse 脉冲 (时间)：** 识别动能的点火与能量释放。
* **III: Flow 流向 (能量)：** 通过成交量与资金流验证突破的真伪。
**2. 核心逻辑：为什么要用 Rolling VWAP？**
传统的布林带使用简单移动平均线 (SMA) 作为中轨。SMA 的缺陷在于它平等地对待每一根 K 线，而忽略了成交量的权重。
**Vector Trinity I** 使用 **Rolling VWAP (滚动成交量加权平均价)** 替代了 SMA。
* **数据逻辑：** 只有结合了成交量的价格，才代表市场真实的“平均持仓成本”。
* **表现特征：** 在放量交易区，中轨会表现出更强的支撑/阻力特性；在缩量区则表现平滑。它代表了市场结构的*真实均值*。
**3. 双通道“高速公路”结构**
本系统不使用单条轨道，而是基于 VWAP 的标准差 (StdDev) 构建了双重布林带 (DBB) 架构：
* **噪音区 (中轨 到 1.0 标准差)：** 中间的空白区域。在此区域内的价格通常是无方向的震荡。
* **加速区 (1.0 到 2.0 标准差)：** 填充颜色的“云带”。当 K 线收盘并运行于此区域时，代表趋势确立，价格进入了“高速公路”。
* **回归区 (> 2.0 标准差)：** 价格在统计学上过热，可能面临均值回归。
**4. 波动率挤压监测 (Squeeze)**
指标内置了基于布林带（方差）与肯特纳通道（ATR）对比的机械化“挤压”监测。
* **挤压状态 (橙色云带 & 底部圆点)：** 每日方差处于极低值 (Variance at extreme lows)。市场正在积蓄能量。此时不应猜测方向，而应等待爆发。
* **扩张状态 (灰色云带)：** 挤压结束，波动率回归，趋势展开。
**5. 使用方法**
* **第一步：** 观察 **紫色中轨 (VWAP)**。它的倾斜方向决定了主要的结构趋势。
* **第二步：** 寻找 **橙色区域**。这代表“挤压”正在发生。耐心等待云带变回灰色。
* **第三步：** 当价格突破并收盘在“加速区”（内轨与外轨之间）时，配合成交量介入交易。
**参数设置：**
* **Rolling Length (周期)：** 20 (波段/日内交易的标准设置)。
* **Inner/Outer Bands (内外轨)：** 1.0 / 2.0 (经典的趋势定义范围)。
* **Squeeze Sensitivity (敏感度)：** 1.5 (标准肯特纳通道倍数)。
GARCH Adaptive Volatility & Momentum Predictor
💡 I. Indicator Concept: GARCH Adaptive Volatility & Momentum Predictor
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The GARCH Adaptive Momentum Speed indicator provides a powerful, forward-looking
view on market risk and momentum. Unlike standard moving averages or static
volatility indicators (like ATR), GARCH forecasts the Conditional Volatility (σ_t)
for the next bar, based on the principle of volatility clustering.
The indicator consists of two essential components:
1. GARCH Volatility (Level): The primary forecast of the expected magnitude of
price movement (risk).
2. Vol. Speed (Momentum): The first derivative of the GARCH forecast, showing
whether market risk is accelerating or decelerating. This component is the
main visual signal, displayed as a dynamic histogram.
⚙️ II. Key Features and Adaptive Logic
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* Dynamic Coefficient Adaptation: The indicator automatically adjusts the GARCH
coefficients (α and β) based on the chart's timeframe (TF):
- Intraday TFs (M1-H4): Uses higher α and lower β for quicker reaction
to recent shocks.
- Daily/Weekly TFs (D, W): Uses lower α and higher β for a smoother,
more persistent long-term forecast.
* Momentum Visualization: The Vol. Speed component is plotted as a dynamic
histogram (fill) that automatically changes color based on the direction of
acceleration (Green for up, Red for down).
📊 III. Interpretation Guide
-----------------------------------------------------------------------------
- GARCH Volatility (Blue Line): The predicted level of market risk. Use this to
gauge overall position sizing and stop loss width.
- Vol. Speed (Green Histogram): Momentum is ACCELERATING (Risk is increasing rapidly).
A strong signal that momentum is building, often preceding a breakout.
- Vol. Speed (Red Histogram): Momentum is DECELERATING (Risk is contracting).
Indicates momentum is fading, often associated with market consolidation.
🎯 IV. Trading Application
-----------------------------------------------------------------------------
- Breakout Timing: Look for a strong, high GREEN histogram bar. This suggests
the volatility pressure is increasing rapidly, and a breakout may be imminent.
- Consolidation: Small, shrinking RED histogram bars signal that market energy
is draining, ideal for tight consolidation patterns.
MACD Signals - TradeMaster (Trend & Momentum Filter) 中文簡介
設計理念： 此指標是為了將經典的 MACD 策略「可視化」並「優化」而設計。傳統 MACD 在盤整震盪期容易出現頻繁的黃金交叉（假訊號），導致虧損。本腳本透過整合 OBV (能量潮) 與 TTM Squeeze (擠壓動能) 作為趨勢濾網，只有在動能與量能皆配合的情況下，才會標示為「✅ 有效金叉」。
核心功能與邏輯：
主圖純淨模式 (Clean Overlay)：不顯示雜亂的 MACD 線圖，直接在 K 棒上下方標示買賣訊號，保持圖表乾淨。
MAM 濾網機制 (Smart Filtering)：
OBV 趨勢：確認資金流向是否支持價格上漲。
動能擠壓 (Squeeze)：結合 Bollinger Bands 與 Keltner Channels，避開無方向的盤整區間。
訊號分類：
✅ 有效金叉 (Valid Buy)：MACD 金叉 + 通過 MAM 濾網偵測（高勝率 setup）。
❌ 無效金叉 (Fake Buy)：MACD 金叉，但動能不足或處於盤整（建議觀望）。
🔻 死叉出場 (Sell)：MACD 死叉，提示波段獲利了結或停損。
如何使用：
當出現 綠色標籤 (✅有效) 時，代表趨勢與動能共振，為潛在進場點。
當出現 灰色標籤 (❌無效) 時，代表僅是指標交叉但缺乏動能，建議忽略或謹慎操作。
當出現 紅色標籤 (🔻出場) 時，代表動能轉弱，建議離場。
English Description
Concept: This script is designed to visualize and optimize the classic MACD strategy directly on your main chart. Traditional MACD often generates false signals during consolidation periods. This indicator integrates OBV (On-Balance Volume) and Squeeze Momentum as a trend filter. It only marks a signal as a "✅ Valid Buy" when both momentum and volume confirm the trend.
Key Features & Logic:
Clean Main Chart Overlay: Instead of occupying a bottom pane with lines, this script plots actionable signals directly on the candlesticks, keeping your workspace clean.
MAM Filter Mechanism:
OBV Trend: Confirms if volume flow supports the price action.
Momentum Squeeze: Combines Bollinger Bands and Keltner Channels to filter out choppy, sideways markets.
Signal Classification:
✅ Valid Buy: MACD Golden Cross + Confirmed by MAM Filter (High probability setup).
❌ Fake Buy: MACD Golden Cross without momentum confirmation (Weak signal, usually ignored).
🔻 Sell Signal: MACD Death Cross, suggesting an exit.
How to Use:
Green Label (✅ Valid): Trend and momentum are in resonance. Potential entry.
Gray Label (❌ Fake): Crossover occurred but failed the filter test. Caution advised.
Red Label (🔻 Exit): Momentum is weakening. Suggested exit point.
免責聲明 (Disclaimer)
免責聲明
本腳本僅供教育與技術分析研究使用，不構成任何形式的金融投資建議。
過去的績效不代表未來的表現。
所有的交易訊號僅供參考，使用者應結合自身的風險管理策略（如停損設置）。
作者不對使用此腳本造成的任何盈虧負責。
Disclaimer
This script is for educational and technical analysis purposes only and does not constitute financial advice.
Past performance is not indicative of future results.
All signals are for reference only. Users should always apply their own risk management strategies (e.g., Stop Loss).
The author is not responsible for any trading losses incurred from using this script.
Wisenode QuantThis indicator uses a combination of DMI, ADX and ATR% to give quick easy visual representation of trend strength, trend direction and price action volatility.
This helps to quickly visually identify market environment for trade execution using quantifiable data.
Direction
Red LED = Bearish Market conditions
Green LED = Bullish Market conditions
Trend (Strength)
Red = 0-20 on the ADX (Ranging)
Green = 20-30 on the ADX (Emerging)
Green = 30-50 on the ADX (Momentum)
Volatility
Uses ATR% on a dynamic scale from top to bottom is low to high intensity. Colour will transition from green to red as the bar moves higher.
Trade Execution
Integration of a custom Murray math values to build entry, stop loss protection and take profit zones.
This is still a working progress to fine tune default settings but can be used for market environment identification for any sort of discretionary trading
Tailwind.(BTC)Imagine the price of Bitcoin is like a person climbing a staircase.
The Steps (Grid): Instead of watching every single price movement, the strategy divides the market into fixed steps. In your configuration, each step measures **3,000 points**. (Examples: 60,000, 63,000, 66,000...).
The Signal: We buy only when the price climbs a full step decisively.
The "Expensive Price" Filter: If the price jumps the step but lands too far away (the candle closes too high), we do not buy. It is like trying to board a train that has already started moving too fast; the risk is too high.
Rigid Exits: The Take Profit (TP) and Stop Loss (SL) are calculated from the edge of the step, not from the specific price where you managed to buy. This preserves the geometric structure of the market.
The Code Logic (Step-by-Step)
A. The Math of the Grid (`math.floor`)
pinescript
level_base = math.floor(close / step_size) * step_size
This is the most important line.
What does it do? It rounds the price down to the nearest multiple of 3,000.
Example: If BTC is at 64,500 and the step size is 3,000:
1. Divide: $64,500 / 3,000 = 21.5$
2. `math.floor` (Floor): Removes the decimals $\rightarrow$ remains $21$.
3. Multiply: $21 * 3,000 = 63,000$.
Result: The code knows that the current "floor" is **63,000**, regardless of whether the price is at 63,001 or 65,999.
B. The Strict Breakout (`strict_cross`)
pinescript
strict_cross = (open < level_base) and (close > level_base)
Most strategies only check if `close > level`. We do things slightly differently:
`open < level_base`: Requires the candle to have "born" *below* the line (e.g., opened at 62,900).
`close > level_base`: Requires the candle to have *finished* above the line (e.g., closed at 63,200).
Why? This avoids entering on gaps (price jumps where the market opens already very high) and confirms that there was real buying power crossing the line.
C. The "Expensive Price" Filter (`max_dist_pct`)
pinescript
limit_price_entry = level_base + (step_size * (max_dist_pct / 100.0))
price_is_valid = close <= limit_price_entry
Here you apply the percentage rule:
-If the level is 63,000 and the next is 66,000 (a difference of 3,000).
-If `max_dist_pct` is **60%**, the limit is $63,000 + (60\% \text{ of } 3,000) = 64,800$.
-If the breakout candle closes at **65,000**, the variable `price_is_valid` will be **false** and it will not enter the trade. This avoids buying at the ceiling.
D. TP and SL Calculation (Anchored to the Level)
pinescript
take_profit = level_base + (step_size * tp_mult)
stop_loss = level_base - (step_size * sl_mult)
Note that we use `level_base` and not `close`.
-If you entered because the price broke 63,000, your SL is calculated starting from 63,000.
-If your SL is 1.0x, your stop will be exactly at 60,000.
This is crucial: If you bought "expensive" (e.g., at 63,500), your real stop is wider (3,500 points) than if you bought cheap (63,100). Because you filter out expensive entries, you protect your Risk/Reward ratio.
E. Visual Management (`var line`)
The code uses `var` variables to remember the TP and SL lines and the `line.set_x2` function to stretch them to the right while the operation remains open, providing that visual reference on the chart until the trade ends.
Workflow Summary
Strategy Parameters:
Total Capital: $20,000
We will use 10% of total capital per trade.
Commissions: 0.1% per trade.
TP: 1.4
SL: 1
Step Size (Grid): 3,000
We use the 200 EMA as a trend filter.
Feel free to experiment with the parameters to your liking. Cheers.
SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
SMI Trigger System SMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Daily Dynamic Grid StrategyHi everyone,
This strategy is built around a dynamic daily grid concept, using an upper and lower daily range that is automatically divided into multiple grid levels.
The idea is to take advantage of daily volatility by executing DCA entries on specific grid levels, based on predefined conditions.
Key points of the strategy & feature:
I recommend using 1H or 2H timeframe for this strategy
Take profit by grid
When DCA is active (>1 entry), the exit condition switches to close above the average price
A hard stop loss is applied
Includes an optional Trailing TP / SL to help maximize profit during strong moves
Like most DCA-based strategies, it tends to have a high win rate, but during strong market dumps, losses can become relatively large
Can also be used for backtest on Forex markets such as Gold, where using the trailing option is generally more effective
And still trial for the webhook, may continue to improve and update this strategy in future versions.
NY Session Range & FlowNY Session Range & Flow is a rule-based intraday futures indicator designed for the New York session, with a focus on MNQ / NQ price behavior.
This indicator does not predict the market. Instead, it maps context, structure, and flow so traders can make disciplined decisions with predefined risk.
🔍 Core Concepts
NY Session Range & Flow combines:
Session structure
Range usage (ADR / AWR)
VWAP positioning & slope
Liquidity sweeps
Supply & Demand zones
Opening Range Breakouts
Mean reversion vs trend continuation logic
All signals are graded and throttled to reduce noise and overtrading.
📌 What the Indicator Shows
🕒 Session Logic (NY Time)
RTH (09:30–16:00 NY)
Trade windows (AM / PM)
Opening Range (09:30–09:45)
ETH session ranges (for context only)
📊 Range & Regime Awareness
ADR / AWR usage
Identifies expansion vs exhaustion
Helps avoid trading when range is already spent
📉 Flow & Bias
VWAP with optional ATR bands
VWAP slope filter for directional bias
Mean reversion distance rules
🧲 Liquidity & Structure
Prior Day High / Low
NY High / Low / Mid
Opening Range High / Low
Liquidity sweep detection
📦 Supply & Demand Zones
Higher-timeframe pivot-based zones
ATR-adjusted zone thickness
Last active zone tracking
🎯 Signal Types (Graded)
Trend Continuation
Sweep Reversal
Opening Range Breakout (ORB)
Mean Reversion to VWAP
Each signal is scored and graded (A+ → C) based on:
Structure
Liquidity
VWAP alignment
Regime context
Only signals that meet your selected quality threshold are displayed.
⚖️ Risk Visualization
Fixed Stop Loss & Take Profits in ticks
Supports SL + TP1 + TP2
Optional ATR trailing structure
Visual SL/TP lines for clarity (manual execution)
This is a decision-support tool, not an auto-trading system.
📋 Range Usage Table
Displays real-time usage for:
RTH
ETH
Weekly
Monthly ranges
Color-coded to highlight expansion and exhaustion.
⚠️ Important Notes
Designed for manual trading
Best suited for futures traders
Optimized for MNQ / NQ, but adaptable
Not financial advice
🔧 Recommended Use
Combine with strict risk management
One trade at a time
Respect session context and range limits
CT Market Fragility & Systemic Risk Monitor v1.0CT ⊕ Market Fragility & Systemic Risk Monitor v1.0
Systemic Stress & Market Regime Monitor
OVERVIEW
Wall Street-grade structural monitoring now open-source.
CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 is a real-time systemic risk tool designed to detect fragility before it hits price. Built by former institutional traders, it delivers structural insight typically reserved for desks inside hedge funds and global macro desks.
This isn’t about finding entries or exits, it’s about understanding the environment you're trading in, and recognizing when it's shifting.
WHAT IT DOES
• Monitors six key market domains: Equities, Rates/Credit, FX (USD stress), Commodities, Crypto, and Macro
• Detects volatility stress, cross-domain coupling, and regime synchronization
• Classifies market structure into Normal → Fragile → Critical
• Shows a live dashboard with scores, coupling levels, and structural state
• Plots event markers (T1, T2, T3) for structural transitions
• Implements hysteresis logic to model post-stress 'memory
• Supports both single-domain ("Local Mode") and system-wide monitoring
HOW IT WORKS
This engine does not rely on traditional TA. No moving averages. No MACD. No patterns. No guesswork.
Instead, it measures how markets are behaving beneath price detecting when stress is:
• Building internally
• Spreading across domains
• Synchronizing into systemic fragility
T1 (🟠) — Early instability: acceleration in market coupling
T2 (🔵) — Fragile regime: multiple domains simultaneously stressed
T3 (🔴) — Critical regime: synchronized, system-wide stress
These are not buy/sell signals. They are structural regime alerts, the same kind used by institutions to cut risk before stress cascades.
WHY IT MATTERS
Most retail tools are reactive. They interpret surface-level patterns after the move.
This tool is different. It’s proactive – measuring pressure before it breaks structure.
Institutions have used structural fragility models like this for years. This script helps close that gap, giving everyday traders the same early warnings that pros use to reduce exposure and sidestep systemic blowups.
It’s not about finding the edge.
It’s about not getting crushed when the system breaks.
Whether you trade crypto, stocks, FX, or macro, this engine helps answer:
• Is the system stable right now?
• Are stress levels rising across markets?
• Is it time to tighten risk?
Institutions don’t wait for breakouts. They monitor structure.
Now, you can too.
KEY FEATURES
• Works on any asset class and any timeframe
• Fully customizable domain selection
• Three-tier structural alert system (T1–T3)
• Real-time dashboard: stress scores, states, and coupling levels
• Hysteresis modeling: post-stress “memory” detection
• Supports single-domain (local) or multi-domain (systemic) monitoring
• PineScript alerts built-in
RECOMMENDED USE
Active traders - all asset classes
Use the dashboard and T1–T3 alerts to stay aware of structural risk in real time.
Track multi-timeframe alignment to detect where risk originates and how it spreads across markets.
Crypto trader s
Monitor upstream domains (Equities, FX, Rates, Macro) to detect pressure before it reaches crypto.
Identify reflexive stress before Bitcoin reacts — and stay ahead of contagion events.
Macro & systematic traders
Use T1–T3 transitions as volatility filters, exposure governors, or dynamic risk overlays.
Build regime-aware models that adapt to shifting systemic conditions.
Examples & Visuals
Question: Would it have helped to know that at 9:30 on October 9th and again at 10:00 on October 10th that critical states were detected in the structural behavior of Bitcoin? Take a look:
30 min chart BTC shows two distinct T3 (critical) regime detections October 9th and 10:30 October 10th
5m BTC chart reveals high frequency instability for the same period, identifying instability, fragility, criticality
The 30minute BTC chart at 16:30 Friday October 10th,, a few hours after first detecting critical systemic risk
RISK DISCLAIMER
This is a structural analysis tool, not a predictive signal. It does not provide financial advice, trade entries, or forecasts. Use at your own risk. Full disclaimer embedded in the script.
Complexity Trading - From Wall St to Main St
No patterns. No repainting. No mysticism. Just logic, math, science and market structure - now made accessible to everyone.
Developer of LPPL Critical Pulse (LPPLCP), the Temporal Phase Model (TPM) and other
other advanced structural and attractor based systems inspired by Sornette’s LPPL framework and other differentiated thinkers.
Note on Methodology
This tool is not predictive, and not designed for academic publication.
It is a real-time structural monitoring system inspired by academically established concepts,
including LPPL attractor dynamics, cross-asset coupling, reflexivity, and phase regime transitions, implemented within the real-time constraints of PineScript, and intended for visual, exploratory, and diagnostic use.
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix
This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis.
It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade.
How it Works
The strategy relies on the "Golden Trio" of confluence:
1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as:
Price is above the Session VWAP.
The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends).
2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session).
Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish.
Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish.
3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts.
Key Features
The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H).
Trend: Checks if Price > EMA 21.
VWAP: Checks if Price > VWAP.
ORB: Checks if Price is currently above/below the Opening Range of that session.
D H/L: Warns if price is near the Daily High or Low.
PD H/L: Warns if price is near the Previous Daily High or Low.
Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move).
Chart: Draws Green/Red zones extending to the right, showing where price may react.
Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning.
Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs.
Visual Guide (Chart Legend)
⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box.
🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum.
🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum.
🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks.
🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here.
🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here.
⚪ Dots (Trailing Stop):
🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss.
🔴 Red Dots: These appear above price during a Bearish trend.
🏷️ Buy / Sell Labels:
BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish.
SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish.
Settings
Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise.
Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor.
Order Blocks: Adjust the sensitivity and lookback period for Order Block detection.
Risk: Customize the ATR multiplier for the trailing stop.
Disclaimer
This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
SMI Trigger System The SMI Trigger System is a lower-pane momentum indicator based on a Hull-smoothed Stochastic Momentum Index (SMI). It is designed to assist in identifying potential momentum shifts by highlighting signal alignment and level interactions.
This indicator is intended to be used as part of a broader analysis framework. Confluence between trend, structure, and higher-timeframe context defines the setup, while SMI signal behavior may be used for confirmation.
The script can be applied across multiple timeframes and markets. It does not generate trade signals on its own and should be used alongside additional analysis and risk management techniques.
For educational purposes only. Not financial advice.
DCT - Liquidity Heatmap - ProDCT - Liquidity Heatmap - Pro
Overview
This indicator maps liquidity concentration zones by analyzing volume distribution across price levels. It identifies areas where significant trading activity has accumulated, potentially indicating zones of interest for future price interaction.
Methodology
Volume Intensity Calculation
Each price level accumulates a normalized volume score calculated as:
- Volume Intensity = Current Bar Volume / SMA(Volume, lookback period)
- This normalization allows comparison across different volatility regimes and trading sessions
Level Construction
- Price levels are distributed symmetrically above and below current price using percentage-based spacing
- Each level maintains cumulative volume data, tracking both raw volume and normalized intensity
- Levels are visualized as zones with height proportional to the spacing parameter
Sweep Detection Logic
A level is marked as "swept" when price action crosses through it:
- Condition: Low ≤ Level Price AND High ≥ Level Price
- Swept levels stop accumulating new volume and can be styled differently (fade, hide, or preserve)
Color Intensity Grading
Zones are color-coded based on their normalized volume relative to the maximum observed:
- Purple: < 25% of max intensity
- Yellow: 25-50% of max intensity
- Orange: 50-75% of max intensity
- Red: > 75% of max intensity
Optional CVD (Cumulative Volume Delta) Mode
When enabled, directional volume is estimated using candle structure:
- Bullish candles: Buy pressure weighted by (Close - Open) / (High - Low)
- Bearish candles: Sell pressure weighted by (Open - Close) / (High - Low)
- Levels display green/red bias based on accumulated directional volume ratio
Adaptive System
The indicator includes a three-layer adaptive system:
1. Timeframe adaptation: Spacing, level count, and retention automatically adjust for M5 through Daily charts
2. Volatility adaptation: ATR-based adjustments widen spacing during high volatility and tighten during consolidation
3. Market type adaptation: Different imbalance thresholds for BTC/ETH, large altcoins, and small caps
Imbalance Detection
Buy/sell imbalance markers appear when the ratio of accumulated buy volume to sell volume exceeds a configurable threshold (default 1.5x for BTC/ETH, 2.0x for small caps).
What Makes This Implementation Unique
- Dollar-denominated liquidity display: Labels show estimated liquidity in USD (K/M/B format) rather than abstract values
- Three-layer adaptive logic: Combines timeframe, volatility (ATR), and asset-class adjustments simultaneously
- Memory-optimized architecture: Automatic cleanup of old swept levels prevents performance degradation on extended charts
- Forward projection: Active levels extend into future bars for cleaner visualization
- Granular visibility controls: Each intensity tier can be toggled independently
Settings Guide
- Dynamic: Enable adaptive adjustments (recommended)
- Spacing: Distance between levels as % of price
- Levels: Number of levels above/below price
- CVD: Enable directional volume analysis
- Forward: Project levels ahead by specified bars
Usage Notes
- Works on both Perpetual and Spot crypto markets
- Optimized for crypto assets; results may vary on other instruments
- Higher timeframes show broader liquidity structure; lower timeframes show granular detail
- Combine with your own analysis framework
Disclaimer
This indicator visualizes historical volume distribution and does not predict future price movement. Not financial advice. Use appropriate risk management.
Opening Range Intraday IndicatorOpening Range Intraday Indicator
Summary
The Opening Range Intraday Indicator is a decision-support tool for intraday breakout entries. It combines an Opening Range Breakout (ORB) model with relative volume confirmation and a squeeze-style trend filter, then visualizes entries with clearly defined take-profit (TP) and stop-loss (SL) levels.
The indicator works on any ticker and any timeframe. However, its default parameters and internal logic are optimized for TSLA on the 15-minute chart, which is shown as a recommended context in the on-chart table for informational purposes only.
Core Logic
Opening Range Breakout
Establishes an opening range during the early session and monitors for confirmed breakouts above or below that range to generate potential intraday entries.
Relative Volume confirmation
Breakouts are validated using relative volume to help ensure participation and reduce low-quality signals during thin or inactive periods.
Squeeze / trend filter
A squeeze-style metric evaluates recent compression and directional behavior, helping to avoid entries during unfavorable or low-quality structural conditions.
Entry Visualization & Risk Levels
When a valid entry is confirmed, the indicator automatically:
Plots directional entry markers
Calculates and draws multiple take-profit levels
Draws a stop-loss level based on opening-range structure or ATR logic
Marks TP or SL hits directly on the chart for visual review
These visuals persist on the chart to allow traders to manually review trade structure and outcome over time.
On-Chart Table & Context Guidance
The indicator includes a compact on-chart table that displays:
Current squeeze value and short-term trend behavior
“No trade” conditions when structure is unfavorable
A recommended context message indicating whether the chart matches the optimized setup (TSLA on the 15-minute timeframe)
This message is informational only and does not restrict signals or functionality on other symbols or timeframes.
Flexibility & Controls
Users can customize:
Take-profit and stop-loss display behavior
Tight or standard stop-loss logic
Quiet windows near session close to suppress alerts
Visual settings and table positioning
This allows the indicator to be adapted to different instruments, volatility profiles, and execution styles.
Important Notes
This indicator does not execute trades and does not include automated backtesting or performance statistics.
TP/SL markers are visual aids only and are intended for manual review, not statistical validation.
Results will vary by symbol, timeframe, execution, and market conditions.
This indicator is intended as a research and decision-support tool for experienced intraday traders who understand execution risk, volatility, and position sizing. It should be used alongside proper risk management and independent analysis.
0DTE Credit Spreads Indicator0DTE Credit Spreads Indicator
This indicator is designed to assist 0DTE credit spread traders by providing rule-based PCS (Put Credit Spread) and CCS (Call Credit Spread) signals, dynamic risk levels, and an integrated performance summary — all within a single, cohesive tool.
What the indicator does
The script implements a complete intraday framework tailored specifically to same-day expiration credit spreads, combining market structure, volatility context, and trade management logic into one workflow:
Opening Range logic (15-minute)
A defined opening range is used to establish directional bias. Signals are generated only after the range is confirmed, aligning entries with controlled intraday structure rather than momentum chasing.
Optional Early Entry logic
An optional early-entry mechanism evaluates 30-minute RSI extremes during the opening phase only. This is intentionally constrained to the opening window and designed for early premium capture scenarios common in 0DTE trading.
Volatility-aware credit estimation
Expected credit is derived from current volatility conditions to provide realistic assumptions for backtesting, trade visualization, and partial-profit modeling.
Dynamic risk visualization
Each signal automatically plots:
A horizontal stop-loss level
A take-profit level based on user-selected credit percentage
A dynamic diagonal stop line from entry to end-of-day, modeling time-based risk specific to 0DTE positions
Partial profit and contract modeling
The backtest logic supports closing a user-defined number of contracts at the take-profit level, while allowing remaining contracts to run to end-of-day or stop loss. This mirrors real-world 0DTE trade management practices.
Flexible evaluation modes
Trades can be evaluated using either:
Intraday stop-loss crosses, or
End-of-day outcome logic
allowing users to align results with their execution style.
Backtesting and transparency
The indicator includes a live, on-chart backtest table displaying:
PCS and CCS signal counts
Wins, losses, and win rate
Total P/L (points or dollar-based per contract)
Contract and partial-TP configuration
A non-blocking “Recommended context” note indicating whether the script is running on the preferred symbol and timeframe
Signals and visuals will display on any chart. The recommended context is informational only and does not restrict usage.
Chart presentation
Full visual mode with labels, TP/SL levels, and diagonal risk lines
Clean Chart mode with arrow-only signals and a compact summary table
Automatic object management to prevent chart clutter.
Intended use
This indicator is intended as a decision-support and research tool for experienced traders. It does not place trades, does not guarantee profitability, and should be used alongside proper risk management.
