CRR Inst Zones Buy SellIndicator Description
This indicator presents multi-timeframe supply and demand zones together with trend-context visual markers to support structured chart analysis.
Zones are calculated from higher-timeframe price ranges and update dynamically as new data becomes available.
A fixed moving average and a session-based reference line are displayed to provide additional contextual alignment with price behavior. Internal trend calculations highlight directional transitions using visual labels for easier interpretation of market structure.
All zones, labels, and visual elements are informational only and reflect internal calculations.
This script does not provide trading advice, execution guidance, predictive claims, or performance expectations. Users are expected to apply independent analysis and discretion in accordance with TradingView policies
Multitimeframe
CME Quarterly ShiftsCME Quarterly Shifts - Institutional Quarter Levels
Overview:
The CME Quarterly Shifts indicator tracks price action based on actual CME futures contract rollover dates, not calendar quarters. This indicator plots the Open, High, Low, and Close (OHLC) for each quarter, with quarters defined by the third Friday of March, June, September, and December - the exact dates when CME quarterly futures contracts expire and roll over.
Why CME Contract Dates Matter:
Institutional traders, hedge funds, and large market participants typically structure their positions around futures contract expiration cycles. By tracking quarters based on CME rollover dates rather than calendar months, this indicator aligns with how major institutional players view quarterly timeframes and position their capital.
Key Features:
✓ Automatic CME contract rollover date calculation (3rd Friday of Mar/Jun/Sep/Dec)
✓ Displays Quarter Open, High, Low, and Close levels
✓ Vertical break lines marking the start of each new quarter
✓ Quarter labels (Q1, Q2, Q3, Q4) for easy identification
✓ Adjustable history - show up to 20 previous quarters
✓ Fully customizable colors and line widths
✓ Works on any instrument and timeframe
✓ Toggle individual OHLC levels on/off
How to Use:
Quarter Open: The opening price when the new quarter begins (at CME rollover)
Quarter High: The highest price reached during the current quarter
Quarter Low: The lowest price reached during the current quarter
Quarter Close: The closing price from the previous quarter
These levels often act as key support/resistance zones as institutions reference them for quarterly performance, rebalancing, and position management.
Settings:
Display Options: Toggle quarterly break lines, OHLC levels, and labels
Max Quarters: Control how many historical quarters to display (1-20)
Colors: Customize colors for each level and break lines
Styles: Adjust line widths for OHLC levels and quarterly breaks
Best Practices:
Combine with other Smart Money Concepts (liquidity, order blocks, FVGs)
Watch for price reactions at quarterly Open levels
Monitor quarterly highs/lows as potential targets or stop levels
Use on higher timeframes (4H, Daily, Weekly) for clearer institutional perspective
Pairs well with monthly and yearly levels for multi-timeframe confluence
Perfect For:
ICT (Inner Circle Trader) methodology followers
Smart Money Concepts traders
Swing and position traders
Institutional-focused technical analysis
Traders tracking quarterly performance levels
Works on all markets: Forex, Indices, Commodities, Crypto, Stocks
BBands + Overbought/Oversold MarkersAdvanced Bollinger Bands indicator with overbought/oversold signals, automatic squeeze detection, and multi-timeframe (MTF) capabilities.
Retains all functions of the original Bollinger Bands indicator from TradingView with a few added features:
Overbought/Oversold Markers: Visual signals when price opens and closes outside the bands
🔴 Red Highlight & Arrow → Price opens & closes above the upper BB (potential overbought/excess momentum).
🟢 Green Highlight & Arrow → Price opens & closes below the lower BB (potential oversold/reversal).
Squeeze Detection: Automatically highlights when bandwidth reaches its lowest point (narrowest BB width) in the lookback period, signalling potential breakout zones
Multi-Timeframe Bands: Display Bollinger Bands from any timeframe on your current chart (e.g., weekly bands on a daily chart), including markers and squeeze zones
Dual Rendering MTF Modes: Choose between traditional plots (unlimited history) or smooth line drawing (~125-165 MTF bars of history)
Built-in Alerts: Set alerts for overbought conditions, oversold conditions, squeeze detection, or any combination
Fully Customizable: Adjust MA type (SMA/EMA/RMA/WMA/VWMA), standard deviation multiplier, colors, and marker styles
Perfect for: Swing traders, MTF analysis, volatility-based entries, and identifying consolidation/expansion cycles.
Institutional Flow SuiteInstitutional Flow Suite
Smart Money Market Structure & Liquidity Framework
Institutional Flow Suite is a professional TradingView indicator designed to visualize institutional trading behavior using market structure, liquidity, and volume-based logic.
This indicator does not provide random buy/sell signals.
Instead, it helps traders understand where large participants are likely active and when execution conditions are favorable.
・ Core Features
Market Structure Analysis
Trend detection based on higher highs / lower lows
CHoCH (Change of Character) visualization
Structural bias tracking (Bullish / Bearish)
Smart Money Concepts
Order Block detection (Bullish & Bearish)
Fair Value Gaps (FVG)
Liquidity pool identification (High / Low sweeps)
Execution Context Filters
VWAP alignment
Volume expansion confirmation
EMA trend filters (20 / 50 / 200)
RSI condition monitoring
Session-Based Logic
Asian session range
London & New York kill zones
Time-of-day awareness for execution
Real-Time Dashboard
Trend status
VWAP position
Volume strength
Session context
Order Block state
Overall execution bias
・ Designed For
Traders using Smart Money / ICT / Market Structure methodologies
Traders who want context and confirmation, not signal spam
FX, Crypto, Indices, and Futures markets
Discretionary and hybrid trading styles
・ Important Notes
This is not an automated trading system
This indicator does not repaint
Trading involves risk; this tool is for analysis and decision support only
・ How Traders Use It
Identify market structure bias
Locate institutional zones (OB / FVG / Liquidity)
Confirm volume & VWAP alignment
Execute trades only when conditions are stacked
Institutional Flow Suite is built for traders who value clarity, structure, and disciplined execution over noise.
Edo Control v1.0 Edo Control
Edo Control is an advanced market context analysis indicator.
It is designed to help traders understand what the market is really doing, not to generate automatic buy or sell signals.
It provides a clean and structured visual framework built on the interaction of:
- Control candles representing different market phases.
- Heatmaps showing strength, weakness and transition states.
- Integrated multi-timeframe analysis adapted to different trading styles.
The goal of Edo Control is simple:
to help traders evaluate whether current market conditions even justify considering a trade.
Indicator approach
Edo Control is based on confluence, not isolated rules.
Market context is built by combining:
- Price behavior through candle sequences.
- Internal market state via heatmaps.
- Alignment or conflict across multiple timeframes.
This indicator is designed for traders who prefer structured analysis, patience and selective execution over impulsive decision-making.
Supported trading profiles
Edo Control includes a Trading Profile selector optimized for four different styles:
- Scalping
- Intraday
- Swing Trading
- Long Term / Position Trading
Each profile automatically adapts the multi-timeframe structure to match the selected trading horizon.
Main visual components
Edo Control Candles
Colored candles represent different market states and phases such as continuation, development, transition and potential behavioral shifts.
They are contextual tools, not entry signals.
Heatmaps
Heatmaps visualize the internal state of the market using different models:
- Multicolor mode for detailed state transitions.
- Bicolor mode for directional strength and weakness.
- Hybrid mode for simplified contextual reading.
Each mode uses a different number of states and color logic, allowing traders to choose the level of detail that fits their approach.
Multi-Timeframe Panels
MTF panels help identify:
- Timeframe alignment.
- Contextual conflicts.
- Progressive structural changes.
This helps avoid trading against dominant higher-timeframe conditions.
Configuration
Edo Control is designed to be powerful yet easy to configure.
Users can:
- Select their trading profile.
- Enable or disable visual modules (candles, heatmaps, MTF panels).
- Choose the heatmap mode and adjust opacity.
- Enable and customize the Master Legend (position, size, language, transparency).
- Use Learning Mode with visual aids and tooltips.
- Control historical bars display and overall chart layout.
No complex parameter tuning is required.
Important
- This indicator does NOT include buy or sell signals.
- No trading alerts are generated.
- It is intended strictly for market context and structural analysis.
PRO version (in active development)
Edo Control PRO builds on this same core and adds an execution layer:
- Filtered BUY / SELL signals.
- Configurable alerts.
- Advanced confluence filters.
- Full technical PDF manual.
Edo Control answers one question:
“What is the market really doing right now?”
The final decision always remains with the trader.
Agent F - The Complete ICT/Smart Money Trading System## 🎯 Agent F - The Complete ICT/Smart Money Trading System
**Your institutional-grade edge in one powerful indicator.**
Stop juggling 5+ indicators. Agent F combines **every core ICT concept** into a single, clean system with **25-point confluence scoring** that tells you exactly when to trade—and when to wait.
---
### ⚡ **What Makes Agent F Different**
**✅ 25-Point Confluence System**
Not just "buy" or "sell"—see **exactly how strong** each setup is (12/25, 18/25, etc.) with transparent factor breakdown.
**✅ Multi-Timeframe Auto-Optimization**
Pick Scalping, Intraday, or Swing mode and watch Agent F automatically adjust 8+ parameters for optimal performance on your timeframe.
**✅ 18+ Advanced ICT Patterns**
Goes far beyond basic Order Blocks and FVGs—includes **SMR** (75-80% win rate), **Turtle Soup** (72-75%), **PO3**, **NWOG/NDOG**, **Breaker Blocks**, **SIBI/BISI**, and more.
**✅ Edge Call AI**
Immediate direction prediction for 5-point scalps. Tells you "LONG NOW", "SHORT NOW", or "NEUTRAL" with 72-85% historical win rate (backtested).
**✅ Professional Risk Management**
3-target scaling system, ATR-based stops, invalidation alerts, time-based exits—everything you need to trade like an institution.
**✅ Zero Repaint**
All signals are final. What you see is what you get. No repainting games.
---
### 📊 **Core Features**
#### **Order Blocks with A+/A/B/C Quality Grading**
Not all Order Blocks are equal. Agent F grades each one (A+ = institutional-grade, C = retail noise) and filters to only show you the best.
- Detects both standard OBs and **Breaker Blocks** (flipped OBs with 75% reversal rate)
- **Propulsion Blocks** (>2 ATR displacement = strong conviction)
- **Rejection Blocks** (tested multiple times = proven levels)
- Shows formation age, volume percentile, quality score
#### **Enhanced Fair Value Gaps (FVGs)**
Goes beyond basic gap detection with intelligent fill tracking:
- **Partial fill states** (0%, 50%, 75%, 100%)
- **CE (Consequent Encroachment) 50% levels** (75% fill rate sweet spot)
- **IFVG detection** (Inverted FVGs = 80% reversal probability)
- **FPFVG** (First Presented FVG after BOS = highest quality)
#### **Liquidity Sweep Detection**
Identifies where stop hunts happen and when to fade them:
- Equal Highs/Lows (SSL/BSL pools)
- Sweep timing and alerts
- **Liquidity Voids** (large gaps >0.5 ATR = price magnets)
- Manipulation pattern recognition
#### **Market Structure Analysis**
Real-time BOS (Break of Structure) and CHoCH (Change of Character) detection with:
- Trend classification (BULL/BEAR/NEUTRAL)
- Strength rating (★★★ strong, ★ weak)
- Swing high/low tracking
- Structure invalidation warnings
#### **Premium/Discount Zones**
Visual guidance on where to buy (cheap) and sell (expensive):
- Background shading (green = discount, red = premium)
- Equilibrium (50%) line
- OTE (Optimal Trade Entry) Fib levels (62-79%)
- Helps you avoid buying tops and selling bottoms
---
### 🎯 **The 25-Point Confluence System**
**Stop guessing. Know exactly how strong your setup is.**
Every potential trade is scored across **25 ICT factors**:
**Core Factors (18 points max):**
- Order Block Quality (A+/A/B/C) — 3-4 pts
- Market Structure (BOS/CHoCH) — 2 pts
- Liquidity Swept — 2 pts
- HTF Trend Alignment — 2 pts
- Premium/Discount Zone — 1 pt
- Daily Bias Filter — 1 pt
- Killzone Active — 1-2 pts
- FVG Confluence — 1-3 pts
- High Volume — 1 pt
- Session Levels (PDH/PDL/PWH/PWL) — 2 pts
- DXY Correlation — 1 pt
**Advanced Patterns (10+ points):**
- SMR (Smart Money Reversal) — 4 pts (75-80% win rate)
- PO3 (Power of Three) — 3 pts (78-82% win rate)
- Turtle Soup (Failed Breakouts) — 2 pts (72-75% win rate)
- NWOG/NDOG Gaps — 2-3 pts (70-80% fill rate)
- SIBI/BISI — 2 pts (80%+ win rate)
- Liquidity Voids — 2 pts
- BPR Zones — 2 pts
- Enhanced OB types — 2 pts
- FPFVG — 2 pts
**Threshold (Auto-Adjusted by Mode):**
- Scalping: 8/25 minimum
- Intraday: 11/25 minimum
- Swing: 14/25 minimum
**See the breakdown:** Panel shows which factors are active for full transparency.
---
### 🚀 **Multi-Timeframe Mode Optimization**
**One indicator. Three personalities.**
Select your trading style and Agent F auto-configures:
**⚡ SCALPING Mode (1m-15m charts)**
- HTF Reference: 1H
- Min Confluence: 8/25
- Fast exits, tight stops
- 10-15 signals/session
- Perfect for: Day traders, quick scalps
**📈 INTRADAY Mode (15m-1H charts)** ← Default
- HTF Reference: 4H
- Min Confluence: 11/25
- Balanced risk/reward
- 6-10 signals/session
- Perfect for: Most traders, session-based
**📊 SWING Mode (4H-D charts)**
- HTF Reference: Daily
- Min Confluence: 14/25
- Patient, high-quality only
- 3-5 signals/session
- Perfect for: Part-time traders, position traders
**Each mode automatically adjusts:** Displacement threshold, volume requirements, stop buffers, time stops, swing length, and more.
---
### 🎯 **Edge Call Feature (Optional)**
**Immediate direction prediction for 5-point scalps.**
Answers the question: "What should I trade RIGHT NOW?"
**Output Modes:**
- **LONG NOW** 🟢 — Execute long immediately
- **LONG WAIT** 🟡 — Setup forming, wait for pullback
- **SHORT NOW** 🔴 — Execute short immediately
- **SHORT WAIT** 🟡 — Setup forming, wait for rally
- **NEUTRAL** ⚪ — No valid setup (honest, won't force trades)
**Requirements (Structure-Based, Not Momentum):**
- Minimum 12/25 confluence (higher bar than regular signals)
- AT key level (not just "near")
- Catalyst required (sweep, SMR, or Turtle Soup)
- Correct zone (longs in discount, shorts in premium)
- A/A+ level quality only
**Performance:** 72-85% win rate (Dec 2025 backtest, structure-based rewrite)
**Backtest Mode:** Track historical Edge Call signals with WIN/LOSS markers and statistics table to validate performance.
---
### 🤖 **Agent F Integration (Premium Optional)**
**Connect to Agent F Python AI for enhanced intelligence.**
Paste a single line of data from Agent F AI and unlock:
**+10 Bonus Confluence Points:**
- Volume Profile (POC/VAH/VAL) — +2-3 pts
- Enhanced Bias Analysis — +2-3 pts
- Master Decision (5 specialist consensus) — +2 pts
- News Risk Filter — -3 to -10 pts (avoid whipsaws)
**18-Field Enhanced Format Includes:**
- Market Regime (trending/ranging/volatile)
- Specialist Consensus (5 AI specialists)
- Setup Evaluator recommendation
- Invalidation signal count
- Momentum score, volume spikes, and more
**Impact:** +10-15% win rate boost
**How to Get:** Use Agent F Python system (available via Claude Code) — type `ict`, `scalp`, or `ec` to generate the paste string automatically.
---
### 📊 **What You See on Your Chart**
**Clean, Professional Visuals:**
✅ **Order Blocks** — Green/red boxes with grades and age markers
✅ **Fair Value Gaps** — Blue/orange zones with 50% CE levels
✅ **Liquidity Pools** — Dashed lines (lime=BSL, pink=SSL) with sweep alerts
✅ **Market Structure** — Purple BOS and yellow CHoCH markers
✅ **Premium/Discount** — Background shading (red/green) with Fib levels
✅ **Trade Signals** — Green ▲ (long) and red ▼ (short) with score labels
✅ **3-Target System** — T1/T2/T3 levels for professional scaling
✅ **Stop Suggestion** — Red STOP line with ATR buffer
✅ **Info Panel** — Real-time confluence scores, bias, Edge Call, and more
**Customizable Display:**
- Max OBs/FVGs (reduce to 3-5 for clean charts)
- Show/hide any component
- Color customization
- Panel size and position
---
### 🎓 **How It Works**
**Step 1:** Agent F scans for ICT patterns (OBs, FVGs, Liquidity, Structure)
**Step 2:** Calculates confluence score (0-25 points) by checking alignment across 25 factors
**Step 3:** If score meets threshold (8/11/14 depending on mode), signal appears
**Step 4:** Panel shows entry, stop, targets, R:R ratio, and active factors
**Step 5:** You execute the high-probability setup with clear risk management
**That's it.** No complex interpretation. No guesswork. Just clear, actionable signals.
---
### ⚙️ **Fully Customizable Settings**
**6 Major Setting Groups:**
**1. Trading Mode** — Scalping/Intraday/Swing (auto-optimizes everything)
**2. Quick Toggles** — Enable/disable any component
- Order Blocks, FVGs, Liquidity, Structure, Zones (mix and match)
**3. Order Block Settings** — Lookback, extension, quality threshold, colors
**4. FVG Settings** — Min size, extension, CE levels, fill tracking
**5. Liquidity Settings** — Lookback, tolerance, sweep alerts
**6. Trade Entry Settings** — Min confluence, killzone requirement, min R:R
**7. Advanced Features** — 15+ optional enhancements
- Volume confirmation, pattern age, round numbers, trend strength, invalidation alerts, killzone timer, factor breakdown
**8. Enhanced ICT Concepts** — Toggle 2016-2024 advanced patterns
- NWOG/NDOG, SMR, PO3, Turtle Soup, SIBI/BISI, Propulsion/Rejection Blocks, FPFVG, Liquidity Voids, BPR, Friday/Monday bias
**9. Edge Call Settings** — Confidence threshold, backtest parameters
**10. Display Options** — Panel position/size, max items, visual preferences
**Every setting includes detailed tooltips explaining its purpose and impact.**
---
### 📈 **Expected Performance**
**Confluence-Based Win Rates:**
| Score Range | Quality | Est. Win Rate | Action |
|-------------|---------|---------------|--------|
| 18-25/25 | Excellent | 85-92% | Full size |
| 14-17/25 | Very Good | 78-85% | Full size |
| 11-13/25 | Good | 72-78% | Normal size |
| 8-10/25 | Acceptable | 65-72% | Scalp only, reduce size |
| 0-7/25 | Poor | <65% | No trade |
**Mode-Specific:**
- Scalping (8+ threshold): 78-82% win rate (with Agent F: 85-88%)
- Intraday (11+ threshold): 82-86% win rate (with Agent F: 88-92%)
- Swing (14+ threshold): 85-88% win rate (with Agent F: 90-93%)
**Signal Frequency:**
- Scalping: 10-15 quality setups per session
- Intraday: 6-10 quality setups per session
- Swing: 3-5 quality setups per session
*Backtested performance. Past results don't guarantee future performance. Trade at your own risk.*
---
### 👥 **Who Is This For?**
**✅ Perfect For:**
- ICT/Smart Money Concept (SMC) traders (beginner to advanced)
- Scalpers, day traders, swing traders (mode-optimized for all)
- Traders wanting institutional-grade analysis
- Those seeking high win rates with transparent logic
- Anyone tired of messy charts with 10+ indicators
**✅ Great For:**
- Gold (GC, MGC, XAUUSD)
- Index Futures (ES, MES, NQ, MNQ)
- Forex majors (EUR/USD, GBP/USD, USD/JPY)
- Bitcoin (BTC/USDT)
- Crude Oil (CL)
- High-volume stocks
**⚠️ Not Ideal For:**
- Low-volume instruments
- Penny stocks
- Illiquid markets
- Traders wanting "buy/sell without thinking" (requires basic understanding of ICT)
---
### 🎓 **Learning Curve**
**Beginner-Friendly:**
- Simple mode: Just follow arrows with 11+ scores
- Comprehensive guide included (`agent-f-indicator-101.md`)
- Glossary of all terms
- No ICT knowledge required to start
**Scales With Your Skill:**
- Intermediate: Understand confluence breakdown
- Advanced: Master all 25 factors
- Expert: Integrate with Agent F AI for maximum edge
**Documentation:**
- 📖 Beginner Guide (101) — For complete beginners
- 📚 Complete User Guide — In-depth technical reference
- 🎯 Quick Start — Get trading in 15 minutes
---
### ⚙️ **How to Use**
**1. Add to Chart**
- Install indicator
- Select trading mode (Scalping/Intraday/Swing)
- Done—defaults are optimized
**2. Wait for Signal**
- Green ▲ triangle = LONG
- Red ▼ triangle = SHORT
- Score label shows quality (X/25)
**3. Verify Quality**
- Score ≥ threshold? (8/11/14 by mode)
- BIAS matches direction?
- During killzone?
- Panel row is green?
**4. Execute Trade**
- Enter at signal price
- Set stop (shown in panel)
- Set targets (T1/T2/T3 shown)
- Scale out professionally (50/30/20)
**5. Manage Risk**
- Stop at breakeven after T1
- Trail stop after T2
- Watch invalidation alerts
- Honor your stops
**That's it. Simple execution of high-probability setups.**
---
### 🔧 **Settings Overview**
**Quick Toggles (One-Click Enable/Disable):**
- Order Blocks ✓
- Fair Value Gaps ✓
- Liquidity Pools ✓
- Market Structure ✓
- Premium/Discount ✓
**Trading Mode (Auto-Optimizes 8 Parameters):**
- Scalping (1m-15m) — Fast, sensitive, 1H HTF
- Intraday (15m-1H) — Balanced, 4H HTF ← Default
- Swing (4H-Daily) — Patient, Daily HTF
**Entry Controls:**
- Min Confluence: 1-25 (auto-set to 8/11/14 by mode)
- Require Killzone: ON/OFF (trade only institutional hours)
- Min Risk:Reward: 1.0-10.0 (default 2.0)
**Advanced ICT Patterns (Toggle Individual):**
- NWOG/NDOG Gaps
- SMR Patterns
- PO3 Detection
- Turtle Soup
- SIBI/BISI
- Propulsion/Rejection Blocks
- FPFVG
- Liquidity Voids
- BPR Zones
- Displacement Candles
- Friday/Monday Bias
**Edge Call (Optional):**
- Enable/Disable
- Min Confidence (50-90%)
- Backtest Mode
- Chart markers
**Display Options:**
- Panel position (6 options)
- Panel size (Tiny/Small/Normal/Large)
- Max OBs/FVGs shown (reduce clutter)
- Color customization for all elements
**Agent F Integration (Premium Optional):**
- Enable Agent F Data (connects to Python AI)
- Paste field (18-field enhanced format)
- +10-15% win rate boost when enabled
---
### 🏆 **Why Traders Love Agent F**
**"Finally, one indicator that does it all."**
Stop switching between 5+ indicators. Everything you need in one professional package.
**"The transparency is game-changing."**
See exactly why each signal qualifies (or doesn't). Learn as you trade.
**"80%+ win rate on 14+ confluence setups."**
Quality over quantity. When Agent F says "take this trade," it's backed by 14+ aligned factors.
**"Works on any timeframe."**
One indicator, three optimized modes. Scalp on 5m, swing on Daily—it adapts.
**"Edge Call is like having a trading assistant."**
Quick scalp opportunities with "LONG NOW" / "SHORT NOW" real-time guidance.
---
### 📚 **What's Included**
**Indicator Files:**
- `agent-f-indicator.pine` — Main indicator script
- `agent-f-indicator-guide.md` — Complete user manual (30KB)
- `agent-f-indicator-101.md` — Beginner's guide with glossary (35KB)
**Documentation:**
- Installation guide
- Settings reference (every parameter explained)
- Trade execution workflow
- Best practices
- Troubleshooting
- Glossary of 50+ ICT terms
**Support:**
- Agent F Community (Discord/Telegram)
- Regular updates
- Documentation updates
---
### 🎯 **Indicator Specs**
**Code Quality:**
- Pine Script v6
- 3,000+ lines of optimized code
- Zero repaint guarantee
- Professional error handling
- Buffer overflow protection
**Performance:**
- Max Labels: 500
- Max Lines: 500
- Max Boxes: 500
- Efficient array management
- Minimal CPU usage
**Markets:**
- Forex ✓
- Futures ✓
- Stocks ✓
- Crypto ✓
- Indices ✓
**Timeframes:**
- 1-minute to Daily ✓
- Auto-optimization per mode ✓
---
### ⚠️ **Important Notes**
**What This Is:**
- Educational tool for ICT/SMC traders
- Signal generation based on proven patterns
- Risk management framework
**What This Is NOT:**
- Financial advice
- Guaranteed profits
- "Holy grail" (no such thing exists)
- Replacement for proper education
**You Must:**
- Understand basic ICT concepts (or use beginner guide)
- Practice risk management (1% rule)
- Paper trade first (verify it works for you)
- Accept responsibility for your trades
**Performance Disclaimer:**
Win rates are based on historical backtesting and optimal execution. Actual results vary by trader skill, market conditions, execution quality, and risk management. Past performance does not guarantee future results. Trading carries substantial risk of loss. Only trade with capital you can afford to lose.
HTF Candles on Lower Timeframes (Manual OHLC)Hi everyone, this indicator is designed to plot higher timeframes candles on the chart. Here are the details:
The data is built directly from OHLC values at specific time intervals, instead of using request.security.
It supports 1H / 2H / 4H / 8H / 1D higher timeframes, and can be viewed on lower timeframes such as 5m / 10m / 15m / 30m.
The main idea behind this chart is to serve as a foundation for building other indicators that need to operate on higher timeframes while still being visualized on lower timeframes.
Feel free to share your feedback or ideas for improvement in the comments below.
Leg Tracker + Full PB Logic + Entry + SL (RT Candle Source v291)Momentum Strategy
Leg Logic + Hod Logic + Full 1/2/3 Candle Pb Logic + Fixed And Dynamic Sl / Tp + Defensive Gates (Min Vol, Extended Move Protection, 1st And 2nd Leg only, ect)
Automation Ready
Run on 1s for live entries
PA SystemPA System
短简介 Short Description（放在最上面）
中文：
PA System 是一套以 AL Brooks 价格行为为核心的策略（Strategy），将 结构（HH/HL/LH/LL）→ 回调（H1/L1）→ 二次入场（H2/L2 微平台突破） 串成完整可回测流程，并可选叠加 BoS/CHoCH 结构突破过滤 与 Liquidity Sweep（扫流动性）确认。内置风险管理：定风险仓位、部分止盈、保本、移动止损、时间止损、冷却期。
English:
PA System is an AL Brooks–inspired Price Action strategy that chains Market Structure (HH/HL/LH/LL) → Pullback (H1/L1) → Second Entry (H2/L2 via Micro Range Breakout) into a complete backtestable workflow, with optional BoS/CHoCH structure-break filtering and Liquidity Sweep confirmation. Built-in risk management includes risk-based sizing, partial exits, breakeven, trailing stops, time stop, and cooldown.
⸻
1) 核心理念 Core Idea
中文：
这不是“指标堆叠”，而是一条清晰的价格行为决策链：
结构确认 → 回调出现 → 小平台突破（二次入场）→ 风控出场。
策略把 Brooks 常见的“二次入场”思路程序化，同时用可选的结构突破与扫流动性模块提升信号质量、减少震荡误入。
English:
This is not an “indicator soup.” It’s a clear price-action decision chain:
Confirmed structure → Pullback → Micro-range breakout (second entry) → Risk-managed exits.
The system programmatically implements the Brooks-style “second entry” concept, and optionally adds structure-break and liquidity-sweep context to reduce chop and improve trade quality.
⸻
2) 主要模块 Main Modules
A. 结构识别 Market Structure (HH/HL/LH/LL)
中文：
使用 pivot 摆动点确认结构，标记 HH/HL/LH/LL，并可显示最近一组摆动水平线，方便对照结构位置。
English:
Uses confirmed pivot swings to label HH/HL/LH/LL and optionally plots the most recent swing levels for clean structure context.
B. 状态机 Market Regime (State Machine + “Always In”)
中文：
基于趋势K强度、EMA关系与波动范围，识别市场环境（Breakout/Channel/Range）以及 Always-In 方向，用于过滤不合适的交易环境。
English:
A lightweight regime engine detects Breakout/Channel/Range and an “Always In” directional bias using momentum and EMA/range context to avoid low-quality conditions.
C. 二次入场 Second Entry Engine (H1→H2 / L1→L2)
中文：
• H1/L1：回调到结构附近并出现反转迹象
• H2/L2：在 H1/L1 后等待最小 bars，然后触发 Micro Range Breakout（小平台突破）并要求信号K收盘强度达标
这一段是策略的“主发动机”。
English:
• H1/L1: Pullback into structure with reversal intent
• H2/L2: After a minimum wait, triggers on Micro Range Breakout plus a configurable close-strength filter
This is the main “entry engine.”
D. 可选过滤器 Optional Filters (Quality Boost)
BoS/CHoCH（结构突破过滤）
中文： 可识别 BoS / CHoCH，并可要求“入场前最近 N bars 必须有同向 break”。
English: Detects BoS/CHoCH and can require a recent same-direction break within N bars.
Liquidity Sweeps（扫流动性确认）
中文： 画出 pivot 高/低的流动性水平线，检测“刺破后收回”的 sweep，并可要求入场前出现同向 sweep。
English: Tracks pivot-based liquidity levels, confirms sweeps (pierce-and-reclaim), and can require a recent sweep before entry.
E. FVG 可视化 FVG Visualization
中文： 提供 FVG 区域盒子与管理模式（仅保留未回补 / 仅保留最近N），主要用于区域理解与复盘，不作为强制入场条件（可自行扩展）。
English: Displays FVG boxes with retention modes (unfilled-only or last-N). Primarily for context/analysis; not required for entries (you can extend it as a filter/target).
⸻
3) 风险管理 Risk Management (Built-In)
中文：
• 定风险仓位：按账户权益百分比计算仓位
• SL/TP：基于结构 + ATR 缓冲，且限制最大止损 ATR 倍
• 部分止盈：到达指定 R 后减仓
• 保本：到达指定 R 后推到 BE
• 移动止损：到达指定 R 后开始跟随
• 时间止损：持仓太久不动则退出
• 冷却期：出场后等待 N bars 再允许新单
English:
• Risk-based sizing: position size from equity risk %
• SL/TP: structure + ATR buffer with max ATR risk cap
• Partial exits at an R threshold
• Breakeven at an R threshold
• Trailing stop activation at an R threshold
• Time stop to reduce chop damage
• Cooldown after exit to avoid rapid re-entries
⸻
4) 推荐使用方式 Recommended Usage
中文：
• 推荐从 5m / 15m / 1H 开始测试
• 想更稳：开启 EMA Filter + Break Filter + Sweep Filter，并提高 Close Strength
• 想更多信号：关闭 Break/Sweep 过滤或降低 Swing Length / Close Strength
• 回测时务必设置合理的手续费与滑点，尤其是期货/指数
English:
• Start testing on 5m / 15m / 1H
• For higher quality: enable EMA Filter + Break Filter + Sweep Filter and increase Close Strength
• For more signals: disable Break/Sweep filters or reduce Swing Length / Close Strength
• Use realistic commissions/slippage in backtests (especially for futures/indices)
⸻
5) 重要说明 Notes
中文：
结构 pivot 需要右侧确认 bars，因此结构点存在天然滞后（确认后不会再变）。策略逻辑尽量避免不必要的对象堆叠，并对数组/对象做了稳定管理，适合长期运行与复盘。
English:
Pivot-based structure requires right-side confirmation (inherent lag; once confirmed it won’t change). The script is designed for stability and resource-safe object management, suitable for long sessions and review.
⸻
免责声明 Disclaimer（建议原样保留）
中文：
本脚本仅用于教育与研究目的，不构成任何投资建议。策略回测结果受市场条件、手续费、滑点、交易时段、数据质量等影响显著。使用者需自行验证并承担全部风险。过往表现不代表未来结果。
English:
This script is for educational and research purposes only and does not constitute financial advice. Backtest results are highly sensitive to market conditions, fees, slippage, session settings, and data quality. Use at your own risk. Past performance is not indicative of future results.
Smart Impulse PRO v1.0Smart Impulse PRO (Invite‑Only) — Comprehensive Guide for TradingView
***
## English Version
Smart Impulse PRO (Invite‑Only) — Comprehensive Guide for TradingView
Strategy Concept & Uniqueness
Smart Impulse PRO is a trend‑following impulse continuation strategy built specifically for volatile crypto pairs . It uses a custom price×volume impulse signal normalized with Z‑score , then filters these impulses through multi‑timeframe trend conditions and a layered guard system that blocks structurally weak trades (flat, overextension, exhaustion).
Backtest Summary (Crypto Pairs)
Smart Impulse PRO was backtested on several volatile crypto perpetual pairs (including ETHUSDT, BTCUSDT and other majors/alts) on 1h charts in the period 01 Jan 2023 – 26 Dec 2025. On this sample, typical results were:
- Total trades per pair : ≈100–130
- Win rate range : ≈ 90–94%
- Profit factor range : ≈ 3.0–3.9
These values are historical backtest metrics on specific symbols and settings and do not guarantee similar performance in the future .
Why It’s Special
✅ Custom price×volume impulse model (Z‑score‑based) : Measures how unusual each bar’s move is in its recent context, not just simple MA/RSI crossovers
✅ 15+ Exhaustion & Structure Guards : Automatically block bad contexts (flat, low vol, overextended candles, climax volume)
✅ Dynamic TP Grid : Take‑profit levels adapt to current impulse strength |Z|
✅ Visual Transparency : Bubbles show exactly why signals were blocked
✅ Invite‑Only Logic : The concrete impulse model and guard interactions are proprietary and therefore published as invite‑only with protected source, as allowed by TradingView’s script rules.
***
### 1. What the Script Does (User View)
Smart Impulse PRO acts as an automated decision engine for volatile crypto pairs (e.g., ETHUSDT, BTCUSDT) on intraday and swing timeframes (15m–4h). It:
- Generates Long/Short entries only when both trend and impulse conditions align.
- Manages exits with a multi‑level TP grid, breakeven logic, optional trailing stop and time‑based exit.
- Visually shows both taken trades and blocked signals , including a short text reason for rejection.
This lets users trade crypto trends with a clear explanation of when and why the strategy chooses to act or stay out.
***
Entry Rules
Long (Buy):
Price is above EMA200 (long‑term trend is up)
Z‑score impulse > Z_threshold (e.g., 1.5)
Volume above recent average
ADX > Min ADX (e.g., 25)
ATR regime OK (ATR > ATR_floor and not in volatility squeeze)
All active guards pass (no overextended candle, no extreme wick against direction, no climax volume lock, no distance violation vs EMA200/VWAP, no Z‑streak lock)
Short (Sell):
Price is below EMA200 (long‑term trend is down)
Z‑score impulse > Z_threshold
Volume above recent average
ADX > Min ADX
ATR regime OK
All active guards pass (same checks, mirrored for shorts)
Logic:
The script first checks that the market is trending (EMA200 side + ADX + volatility filters), then validates that the current bar is a statistically strong price×volume impulse, and finally makes sure the bar is not an exhaustion spike or overextended move according to the guard system. Only if all three layers agree, a trade is opened.
Exit Rules
Stop‑Loss:
Initial stop‑loss is placed at a user‑defined distance (percent or ATR‑based), and position size is calculated so that a full stop equals Max Risk per Trade (%).
Take‑Profit grid:
Up to 10 TP levels.
Step type: Percent, ATR% or Hybrid.
Optional “Breathing grid”: TP distances are increased in proportion to |Z‑score| at entry (capped), so stronger impulses receive wider, more ambitious targets.
TP Profile (Equal / Aggressive / Balanced / Defensive) decides how much size is closed at each level.
Breakeven and Trailing:
Optional breakeven: after TP1 is hit, stop can be moved to entry price plus a small offset.
Optional ATR‑based trailing stop activates only after TP3 to avoid being shaken out too early by noise.
Time‑based Exit:
If enabled, any open trade that does not hit TP or SL within the chosen time limit (bars or minutes) is closed at market, to avoid very long, stagnant positions.
### 2. How the Script Works (Internals)
2.1 Impulse Engine (Custom Z‑Score Model)
At the core is a price×volume impulse series with Z‑score normalisation:
- Raw impulse:
`delta_impulse = (close - close ) * volume`
- Normalisation over N bars (default N = 20):
`zscore = (delta_impulse - avg(delta_impulse, N)) / stdev(delta_impulse, N)`
A bar becomes an impulse candidate only when:
- `abs(zscore) > Z_threshold` (default 1.5), and
- volume is above its recent average.
This is a custom implementation of a price×volume impulse model based on Z‑score; the exact combination of inputs, window, thresholds and how this signal feeds guards and exits is part of the proprietary logic.
2.2 Trend & Volatility Context — Why the Mashup Exists
The strategy combines several classic tools, but each covers a specific failure mode. The mashup is intentional:
| Component | What it checks | Why it is needed |
|----------|----------------|------------------|
| EMA200 | Long‑term bias (price above/below) | Prevents counter‑trend trading |
| EMA200 slope | Steepness of EMA over K bars | Filters flat/ranging phases even above/below EMA |
| VWAP | Distance of price from volume‑weighted fair value | Avoids entering when price is far from value (overextension) |
| ADX | Trend strength | Disables signals in low‑trend, choppy markets |
| ATR vs AvgATR50 | Current volatility vs recent average | Detects volatility squeezes and abnormally calm regimes |
| ATR% floor (Anti‑Flat Gate) | ATR as % of price | Hard “no‑trade” mode in ultra‑tight ranges |
An impulse alone is not sufficient in crypto; only impulses inside a suitable trend and volatility context are allowed to become trades.
2.3 Guard System (Exhaustion & Overextension)
Above trend filters, Smart Impulse PRO adds a guard layer designed from typical crypto problems (late entries, news spikes, “buying the top”):
- Max body / ATR : Rejects abnormally large real bodies (e.g., body > 3× ATR), often at the end of a move.
- Max range / ATR : Blocks extremely long high‑low bars.
- Upper/lower wick filters :
- Longs blocked when upper wick dominates (rejection from above).
- Shorts blocked when lower wick dominates (rejection from below).
- Z‑streak guard : After several consecutive impulse bars in the same direction, new entries in that direction are disabled to avoid chasing.
- Climax volume + cool‑off : When volume spikes above a multiple of its recent average, new trades are paused for N bars.
- Distance guards : Excessive distance (in ATR multiples) from EMA200 and VWAP can block trades.
These checks interact with the impulse model so that the final decision reflects a coherent risk framework rather than a loose collection of filters.
2.4 Dynamic TP Grid (Exit Logic)
- Up to 10 TP levels; step type: Percent, ATR% or Hybrid.
- With Breathing grid , TP spacing is increased by a factor of `k * abs(zscore)` (capped) at entry.
- Stronger impulses (higher |z|) → wider distances between TP levels; weaker impulses → tighter TP spacing.
- TP profiles (Equal / Aggressive / Balanced / Defensive) control how much position size is allocated to early vs late targets.
- Optional breakeven: move SL to entry (plus offset) after TP1.
- Optional trailing: ATR‑based trailing stop activates after TP3.
This links entry strength and exit geometry using the same impulse signal.
***
### 3. How to Use the Script (Practical Guide)
3.1 Quick Start
1. Add Smart Impulse PRO to a volatile crypto pair (e.g., ETHUSDT, BTCUSDT) on 15m–4h.
2. Keep the default preset and observe executed trades and blocked bubbles.
3. Use the dashboard to see which filters are active and which ones are blocking most trades (e.g., ADX, Flat, Exhaust).
4. If there are too few trades, gradually lower Z_threshold or Min ADX , or slightly relax guard limits — change one parameter at a time .
5. Set Max Risk per Trade (%) , stop distance, TP count/profile and optional trailing in line with your risk tolerance.
3.2 Example Profiles
- Aggressive intraday (15m)
- Z‑threshold 1.2
- Min ADX 20
- ATR% floor 0.2%
- Some exhaustion guards disabled (e.g., less strict wick limits).
- Conservative swing (1h–4h)
- Z‑threshold 1.5
- Min ADX 25–30
- ATR% floor 0.3–0.4%
- All guards enabled, higher‑timeframe filters ON.
3.3 Risk Management & Position Sizing
- Max Risk per Trade (%) — percentage of equity at risk if the full stop‑loss is hit.
- Position size is computed automatically from Max Risk %, stop distance and instrument price.
- Breakeven and trailing can be enabled to reduce open risk after partial profit is taken.
- Time‑based exit closes trades that stay open beyond a user‑defined duration without reaching TP or SL.
3.4 Alerts
Alerts use `strategy.order.alert_message` to send JSON containing side (long/short), entry, stop and TP levels. This allows users to connect the strategy with external bots or dashboards without exposing internal code.
***
### 4. Why This Script Is Invite‑Only (Originality Justification)
TradingView asks invite‑only scripts to explain why their logic is original and why source protection is justified. Smart Impulse PRO does that by:
- Implementing a custom price×volume impulse model based on Z‑score normalisation and integrating it with exits through the breathing TP grid.
- Using a coordinated guard framework that explicitly targets typical crypto issues (late chase entries, overextension vs VWAP/EMA200, volatility squeezes, volume spikes).
- Providing a structured indicator mashup where EMA200, VWAP, ADX, ATR and Anti‑Flat Gate each address different dimensions (trend, volatility, structure) and are designed to work together as a context gate for the impulse signal.
On ETHUSDT, BTCUSDT and a group of other volatile crypto pairs, Smart Impulse PRO showed approximately 90–94% win rate and profit factor above 3.0 in 2023–2025 backtests under default risk and filter settings. These numbers are illustrative only and do not promise or guarantee similar live results.
Risk Disclaimer
Trading cryptocurrencies involves substantial risk. Backtests are hypothetical and assume perfect execution without additional slippage, liquidity constraints or exchange issues. Always test the strategy on your own symbols and timeframes and keep risk per trade at a level you are comfortable with.
FAQ
Q: Does the strategy guarantee profit?
A: No. It is a rule‑based decision engine; all results depend on market conditions, parameters and execution, and backtests do not guarantee future performance.
Q: Can I use it on any crypto pair?
A: The logic is designed for volatile crypto pairs. It has been backtested on ETHUSDT, BTCUSDT and several other majors/alts, but each symbol should be tested and, if needed, re‑tuned by the user.
Q: Which timeframe is best?
A: The engine is intended for intraday and swing charts between 15m and 4h. Lower timeframes will generally produce more signals and more noise; higher ones will produce fewer, slower signals.
Q: Can I disable some filters or guards?
A: Yes. Trend filters, the Anti‑Flat Gate and most exhaustion guards can be turned on or off. It is recommended to change one setting at a time and monitor how it affects blocked signals and the equity curve.
Q: How are alerts meant to be used?
A: Alerts send a JSON payload with side, entry, stop and TP levels via strategy.order.alert_message, so users can connect the strategy to external bots or dashboards if they wish.
***
## Русская версия
Smart Impulse PRO (по приглашению) — Полное руководство для TradingView
Концепция и уникальность
Smart Impulse PRO — стратегия продолжения импульсов, разработанная под волатильные криптовалютные пары . В ней используется пользовательская модель импульса “цена×объём”, нормализованная через Z‑score , после чего такие импульсы проходят фильтрацию по тренду на разных таймфреймах и через каскад гардов, блокирующих слабые и рискованные сетапы (флэт, перетянутость, истощение).
Сводка тестов (крипто‑пары)
Стратегия тестировалась на нескольких волатильных крипто‑парах (перпетуальные контракты, включая ETHUSDT, BTCUSDT и ряд других мейджоров/альтов) на часовом таймфрейме за период 01.01.2023 – 26.12.2025. Типичные значения по этим тестам:
- Количество сделок на пару : ≈100–130
- Диапазон винрейта : ≈ 90–94%
- Диапазон фактора прибыли : ≈ 3.0–3.9
Это результаты тестов на истории по конкретным инструментам и настройкам и не гарантируют такой же доходности в будущем .
Почему она оригинальная
✅ Пользовательская модель импульса цена×объём (Z‑score) : измеряет “редкость” бара в его статистическом окружении, а не просто пересечение стандартных индикаторов
✅ 15+ гардов : системно защищают от догоняния, пампов, торговли в “пиле” и на перетянутых уровнях
✅ “Дышащая” TP‑сетка : цели автоматически подстраиваются под силу текущего импульса |Z|
✅ Прозрачность : пузырьки показывают причины каждого отказа от сделки
✅ Формат по приглашению : логика импульса и взаимодействие гардов публикуются как закрытый скрипт с Invite‑Only доступом, что соответствует правилам TradingView.
***
### 1. Что делает скрипт (для пользователя)
Smart Impulse PRO выступает как движок принятия решений для торговли волатильными крипто‑парами (ETHUSDT, BTCUSDT и др.) на таймфреймах от 15 минут до 4 часов:
- Открывает лонги/шорты только при одновременном совпадении трендовых и импульсных условий.
- Управляет выходом через многоуровневую сетку TP, безубыток, по желанию — трейлинг‑стоп и тайм‑стоп.
- Отображает как реальные сделки , так и отклонённые сигналы с короткой подписью причины блокировки.
Задача — структурировать трендовую торговлю криптой и сделать логику решений максимально понятной.
***
### 2. Как работает скрипт (внутренняя логика)
2.1 Импульсное ядро (кастомная модель на Z‑score)
В основе лежит ряд дельта×объём :
- Сырой импульс:
`delta_impulse = (close - close ) * volume`
- Нормализация по окну N баров (по умолчанию 20):
`zscore = (delta_impulse - среднее(delta_impulse, N)) / стд(delta_impulse, N)`
Бар считается кандидатом на импульс , только если:
- `abs(zscore) > Z_threshold` (по умолчанию 1.5);
- объём выше своей недавней средней.
Это собственная реализация импульсного сигнала цена×объём , нормализованного по Z‑score; выбор входных данных, окна, порогов и связка с гардами и выходами формируют проприетарную часть стратегии.
2.2 Зачем нужен “мэшап” индикаторов (тренд и волатильность)
Комбинация EMA200, VWAP, ADX, ATR и Anti‑Flat Gate собрана так, чтобы каждый компонент покрывал отдельный вид риска:
| Компонент | Что проверяет | Зачем нужен |
|----------|---------------|------------|
| EMA200 | Долгосрочный уклон (цена выше/ниже) | Защита от контртрендовых входов |
| Наклон EMA200 | Наклон за K баров | Отсекает участки со слабым трендом (флэт) |
| VWAP | Удалённость цены от “центра объёма” | Не даёт входить в явной перетянутости от справедливой цены |
| ADX | Силу тренда | Запрещает торговлю в пиле и боковике |
| ATR vs AvgATR50 | Текущую волатильность к средней | Находит режимы сжатия и аномально низкой волатильности |
| ATR% пол (Anti‑Flat Gate) | ATR в % от цены | Жёсткий запрет торговли в очень узком диапазоне |
Импульс может быть сильным, но без нормального тренда и адекватной волатильности сделка не допускается.
2.3 Система гардов (истощение, перетянутость)
- Макс тело/ATR : слишком большая свеча относительно ATR трактуется как возможное окончание движения.
- Макс диапазон/ATR : блокирует экстремальные по размеру бары.
- Фильтры по хвостам :
- Лонги блокируются при доминирующем верхнем хвосте (отторжение сверху).
- Шорты — при доминирующем нижнем хвосте.
- Z‑streak : после серии импульсных баров в одну сторону новые входы по этому направлению отключаются.
- Climax‑объём + пауза : при объёме выше кратности к средней входы на несколько баров ставятся на паузу.
- Дистанционные гарды : чрезмерное удаление цены от EMA200 и VWAP в ATR‑мультипликаторах может блокировать вход.
Эти условия работают совместно с импульсным ядром и трендовыми фильтрами, формируя связанную модель риска.
2.4 Динамическая TP‑сетка
- До 10 тейк‑профитов; шаг — в %, ATR% или гибридный.
- При включённой опции “Breathing grid” шаг между TP увеличивается пропорционально `|zscore|` (в пределах лимита).
- Сильные импульсы → более широкая сетка и шанс забрать длинное движение, слабые → более плотная сетка.
- Профили TP (равный / агрессивный / сбалансированный / защитный) задают распределение объёма между ближними и дальними целями.
- Можно включить перевод стопа в безубыток после TP1 и трейлинг‑стоп по ATR после TP3.
***
### 3. Как использовать стратегию (практика)
3.1 Быстрый старт
1. Откройте график волатильной крипто‑пары (ETHUSDT, BTCUSDT и т.п.) на ТФ 15m–4h и добавьте стратегию.
2. Оставьте настройки по умолчанию и наблюдайте маркеры сделок и пузырьки отклонённых сигналов.
3. Через дашборд смотрите, какие фильтры чаще всего блокируют сделки (ADX, Flat, Exhaust и др.).
4. Если сделок мало, по шагу снижайте порог Z‑score или ADX либо ослабляйте некоторые гарды — всегда меняйте только один параметр за раз.
5. Настройте Max Risk per Trade , размер стопа, количество и профиль TP, а также при необходимости безубыток и трейлинг‑стоп.
3.2 Типовые профили
- Агрессивный скальпинг (15m)
- Z‑порог 1.2
- ADX min 20
- ATR% пол 0.2%
- Несколько гардов истощения отключены.
- Консервативный свинг (1h–4h)
- Z‑порог 1.5
- ADX min 25–30
- ATR% пол 0.3–0.4%
- Все гарды включены, HTF‑фильтры активны.
3.3 Риск и размер позиции
- Max Risk per Trade (%) задаёт долю капитала, которую допускается потерять при полном срабатывании стоп‑лосса.
- Стратегия рассчитывает размер позиции из риска, стопа и цены инструмента.
- Можно включить перевод стопа в безубыток после TP1 и трейлинг‑стоп после TP3.
- Тайм‑стоп закрывает сделки, которые слишком долго остаются открытыми без достижения TP/SL.
3.4 Алерты
Алерты формируют JSON‑строку с направлением, ценой входа, стопом и всеми TP‑уровнями через `strategy.order.alert_message`. Это позволяет подключать внешние боты и панели без раскрытия кода.
***
### 4. Почему скрипт по приглашению (обоснование оригинальности)
Стратегия не сводится к “набору индикаторов на графике”. Формат Invite‑Only обоснован тем, что в коде реализованы:
- Пользовательская модель импульса цена×объём на базе Z‑score и использование этого же сигнала для адаптивной TP‑геометрии.
- Связанный набор гардов , построенный вокруг реальных проблем крипто‑торговли (поздние входы после пампов, перетянутость от VWAP/EMA200, режимы сжатия, всплески объёма).
- Логика мэшапа : EMA200, VWAP, ADX, ATR и Anti‑Flat Gate работают согласованно как фильтр контекста для импульса, а не как независимые визуальные индикаторы.
На ETHUSDT, BTCUSDT и ряде других крипто‑пар Smart Impulse PRO показывала ≈90–94% винрейт и фактор прибыли выше 3.0 в тестах 2023–2025 годов при стандартных настройках фильтров и риска. Эти значения служат иллюстрацией поведения стратегии в прошлом и не являются обещанием аналогичных результатов в реальной торговле.
Предупреждение о рисках
Торговля криптовалютами связана с повышенным риском. Результаты бэктестов гипотетичны и предполагают идеальное исполнение без дополнительного проскальзывания и проблем с ликвидностью. Перед использованием стратегии на реальном счёте протестируйте её на своих инструментах и выбирайте риск на сделку в соответствии с личной толерантностью к убыткам.
FAQ
В: Гарантирует ли стратегия прибыль?
О: Нет. Это набор правил для принятия решений; результат зависит от рынка, настроек и исполнения. Любые бэктесты не гарантируют такую же доходность в будущем.
В: Можно ли использовать её на любой крипто‑паре?
О: Логика рассчитана на волатильные криптовалютные пары. Стратегия тестировалась на ETHUSDT, BTCUSDT и нескольких других мейджорах/альтах, но для каждого инструмента параметры желательно проверить и при необходимости подстроить.
В: Какой таймфрейм предпочтителен?
О: Стратегия рассчитана на внутридневную и свинговую торговлю в диапазоне 15m–4h. На младших ТФ сигналов больше и шума выше; на старших — сигналов меньше, но они формируются медленнее.
В: Можно ли отключать отдельные фильтры и гарды?
О: Можно. Трендовые фильтры, Anti‑Flat Gate и большинство гардов истощения включаются и выключаются отдельно. Рекомендуется менять настройки по одной и смотреть, как это влияет на заблокированные сигналы и кривую капитала.
В: Для чего нужны алерты?
О: Алерты отправляют JSON‑сообщение с направлением, ценой входа, стопом и уровнями TP через strategy.order.alert_message, что позволяет при желании подключать внешних ботов и панели управления риском.
Ocean Master [JOAT]Ocean Master QE - Advanced Oceanic Market Analysis with Quantum Flow Dynamics
Overview
Ocean Master QE is an open-source overlay indicator that combines multiple analytical techniques into a unified market analysis framework. It uses ATR-based dynamic channels, volume-weighted order flow analysis, multi-timeframe correlation (quantum entanglement concept), and harmonic oscillator calculations to provide traders with a comprehensive view of market conditions.
What This Indicator Does
The indicator calculates and displays several key components:
Dynamic Price Channels - ATR-adjusted upper, middle, and lower channels that adapt to current volatility conditions
Order Flow Analysis - Separates buying and selling volume pressure to calculate a directional delta
Smart Money Index - Volume-weighted order flow metric that highlights potential institutional activity
Harmonic Oscillator - Weighted combination of 10 Fibonacci-period EMAs (5, 8, 13, 21, 34, 55, 89, 144, 233, 377) to identify trend direction
Multi-Timeframe Correlation - Measures price correlation across 1H, 4H, and Daily timeframes
Wave Function Analysis - Momentum-based state detection that identifies when price action becomes decisive
How It Works
The core channel calculation uses ATR with a configurable quantum sensitivity factor:
float atr = ta.atr(i_atrLength)
float quantumFactor = 1.0 + (i_quantumSensitivity * 0.1)
float quantumATR = atr * quantumFactor
upperChannel := ta.highest(high, i_length) - (quantumATR * 0.5)
lowerChannel := ta.lowest(low, i_length) + (quantumATR * 0.5)
midChannel := (upperChannel + lowerChannel) * 0.5
Order flow is calculated by separating volume into buy and sell components based on candle direction:
The harmonic oscillator weights shorter EMAs more heavily using inverse weighting (1/1, 1/2, 1/3... 1/10), creating a responsive yet smooth trend indicator.
Signal Generation
Confluence signals require multiple conditions to align:
Bullish: Harmonic oscillator crosses above zero + positive Smart Money Index + positive Order Flow Delta
Bearish: Harmonic oscillator crosses below zero + negative Smart Money Index + negative Order Flow Delta
Dashboard Panel (Top-Right)
Bias - Current market direction based on price vs mid-channel
Entanglement - Multi-timeframe correlation score (0-100%)
Wave State - COLLAPSED (decisive) or SUPERPOSITION (uncertain)
Volume - Current volume relative to 20-period average
Volatility - ATR as percentage of price
Smart Money - Volume-weighted order flow reading
Visual Elements
Ocean Depth Layers - Gradient fills between channel levels representing different price zones
Channel Lines - Upper (surface), middle, and lower (seabed) dynamic levels
Divergence Markers - Triangle shapes when harmonic oscillator crosses zero
Confluence Labels - BULL/BEAR labels when multiple factors align
Suggested Use Cases
Identify trend direction using the harmonic oscillator and channel position
Monitor order flow for potential institutional activity
Use multi-timeframe correlation to confirm trade direction across timeframes
Watch for confluence signals where multiple factors align
Input Parameters
Length (default: 14) - Base period for channel and indicator calculations
ATR Length (default: 14) - Period for ATR calculation
Quantum Depth (default: 3) - Complexity factor for calculations
Quantum Sensitivity (default: 1.5) - Channel width multiplier
Timeframe Recommendations
Works on all timeframes. Higher timeframes (4H, Daily) provide smoother signals; lower timeframes require faster reaction times and may produce more noise.
Limitations
Multi-timeframe requests add processing overhead
Order flow estimation is based on candle direction, not actual order book data
Correlation calculations require sufficient historical data
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before trading.
- Made with passion by officialjackofalltrades
MA Alignment DetectorMA Alignment Detector : If it is bullish MA alignment, the color becomes red, if it is bearlish MA alignment, the color become green.
SSMT [jam]🔷 Quarterly Theory SSMT based off of Daye's Quarterly Theory
This indicator detects Sequential SMTs between the charted symbols and up to two other correlated symbols using a hierarchical, time-based cycle system.
❓ What It Does
The script divides time into five nested cycles:
Nano: ~5.625 min (double to ~11.25 min) – best on seconds charts
Micro: ~22.5 min (double to ~45 min) – best on 1-minute charts
90m: 90 min (double to 180 min) – best on 5-minute charts
Daily Session: 6-hour segments (double to 12-hour) – best on 15-minute charts
Weekly: Day-based phases (Q1–Q5; doublable) – best on 60-minute charts
Within each cycle, it tracks price extremes for all selected symbols. When a cycle ends, it checks if the main index and comparison indices moved in opposite directions from their prior-cycle extremes. Matching opposite moves trigger a divergence signal.
Divergences appear as coloured extending lines connecting the prior and current extremes, with labels showing which symbols diverged.
⭐ Unique Aspects
Covers five fractal levels from ultra-short nano to weekly
Allows higher-timeframe divergences on lower charts (e.g., daily/weekly signals visible on 1m)
Auto-adjusts so the charted symbol is always the primary reference
Optional vertical dividers and fixed Q-labels for clear cycle timing
🎀 Extensive Customization
Global controls: Toggle all divergences, dividers, cycle labels; universal label background, text colour, size, position (start/middle/end of line), and style (auto/up/down)
Per-cycle settings (independent for Nano, Micro, 90m, Daily, Weekly):
Show/hide the cycle's divergences
Doubling option
Separate bullish and bearish line colours
Line width and style (solid/dashed/dotted)
Divider colour, width, and style
Toggle Q-labels
Option to display this cycle's signals on lower timeframes
🔨 How to Use
I personally apply it to NQ, ES, and YM (CFDs), but you can choose whichever symbols you trade/prefer. Divergence lines form at cycle boundaries:
Bullish divergence (typically lower low on main index but higher on others) → potential support/rotation higher
Bearish divergence (typically higher high on main but lower on others) → potential resistance/rotation lower
Stronger signals occur when multiple cycle levels align. Always combine with your own analysis and risk management.
A highly configurable tool for spotting intermarket relative strength/weakness across multiple time scales.
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy
WHAT THIS STRATEGY IS
CryptoFlux Dynamo is an open-source Pine Script v6 strategy designed for momentum-based scalping on cryptocurrency perpetual futures. It combines multiple technical analysis methods into a unified system that adapts its behavior based on current market volatility conditions.
This script is published open-source so you can read, understand, and modify the complete logic. The description below explains everything the strategy does so that traders who cannot read Pine Script can fully understand how it works before using it.
HOW THIS STRATEGY IS ORIGINAL AND WHY THE INDICATORS ARE COMBINED
This strategy uses well-known indicators (MACD, EMA, RSI, MFI, Bollinger Bands, Keltner Channels, ATR). The originality is not in the individual indicators themselves, but in the specific way they are integrated into a regime-adaptive system. Here is the detailed justification for why these components are combined and how they work together:
The Problem Being Solved:
Standard indicator-based strategies use fixed thresholds. For example, a typical MACD strategy might enter when the histogram crosses above zero. However, in cryptocurrency markets, volatility changes dramatically throughout the day and week. A MACD crossover during a low-volatility consolidation period has very different implications than the same crossover during a high-volatility trending period. Using the same entry thresholds and stop distances in both conditions leads to either:
Too many false signals during consolidation (if thresholds are loose)
Missing valid opportunities during expansion (if thresholds are tight)
Stops that are too tight during volatility spikes (causing premature exits)
Stops that are too wide during compression (giving back profits)
The Solution Approach:
This strategy first classifies the current volatility regime using normalized ATR (ATR as a percentage of price), then dynamically adjusts ALL other parameters based on that classification. This creates a context-aware system rather than a static threshold comparison.
How Each Component Contributes to the System:
ATR-Based Regime Classification (The Foundation)
The strategy calculates ATR over 21 periods, smooths it with a 13-period EMA to reduce noise from wicks, then divides by price to get a normalized percentage. This ATR% is classified into three regimes:
- Compression (ATR% < 0.8%): Market is consolidating, breakouts are more likely but false signals are common
- Expansion (ATR% 0.8% - 1.6%): Normal trending conditions
- Velocity (ATR% > 1.6%): High volatility, larger moves but also larger adverse excursions
This regime classification then controls stop distances, profit targets, trailing stop offsets, and signal strength requirements. The regime acts as a "meta-parameter" that tunes the entire system.
EMA Ribbon (8/21/34) - Trend Structure Detection
The three EMAs establish trend direction and structure. When EMA 8 > EMA 21 > EMA 34, the trend structure is bullish. The slope of the middle EMA (21) is calculated over 8 bars and converted to degrees using arctangent. This slope measurement quantifies trend strength, not just direction.
Why these specific periods? The 8/21/34 sequence follows Fibonacci-like spacing and provides good separation on 5-minute cryptocurrency charts. The fast EMA (8) responds to immediate price action, the mid EMA (21) represents the short-term trend, and the slow EMA (34) acts as a trend filter.
The EMA ribbon works with the regime classification: during compression regimes, the strategy requires stronger ribbon alignment before entry because false breakouts are more common.
MACD (8/21/5) - Momentum Measurement
The MACD uses faster parameters (8/21/5) than the standard (12/26/9) because cryptocurrency markets move faster than traditional markets. The histogram is smoothed with a 5-period EMA to reduce noise.
The key innovation is the adaptive histogram baseline. Instead of using a fixed threshold, the strategy calculates a rolling baseline from the smoothed absolute histogram value, then multiplies by a sensitivity factor (1.15). This means the threshold for "significant momentum" automatically adjusts based on recent momentum levels.
The MACD works with the regime classification: during velocity regimes, the histogram baseline is effectively higher because recent momentum has been stronger, preventing entries on relatively weak momentum.
RSI (21 period) and MFI (21 period) - Independent Momentum Confirmation
RSI measures momentum using price changes only. MFI (Money Flow Index) measures momentum using price AND volume. By requiring both to confirm, the strategy filters out price moves that lack volume support.
The 21-period length is longer than typical (14) to reduce noise on 5-minute charts. The trigger threshold (55 for longs, 45 for shorts) is slightly offset from 50 to require momentum in the trade direction, not just neutral readings.
These indicators work together: a signal requires RSI > 55 AND MFI > 55 for longs. This dual confirmation reduces false signals from price manipulation or low-volume moves.
Bollinger Bands (1.5 mult) and Keltner Channels (1.8 mult) - Squeeze Detection
When Bollinger Bands contract inside Keltner Channels, volatility is compressing and a breakout is likely. This is the "squeeze" condition. When the bands expand back outside the channels, the squeeze "releases."
The strategy uses a 1.5 multiplier for Bollinger Bands (tighter than standard 2.0) and 1.8 for Keltner Channels. These values were chosen to identify meaningful squeezes on 5-minute cryptocurrency charts without triggering too frequently.
The squeeze detection works with the regime classification: squeeze releases during compression regimes receive additional signal strength points because breakouts from consolidation are more significant.
Volume Impulse Detection - Institutional Participation Filter
The strategy calculates a volume baseline (34-period SMA) and standard deviation. A "volume impulse" is detected when current volume exceeds the baseline by 1.15x OR when the volume z-score exceeds 0.5.
This filter ensures entries occur when there is meaningful market participation, not during low-volume periods where price moves are less reliable.
Volume impulse is required for all entries and adds points to the composite signal strength score.
Cycle Oscillator - Trend Alignment Filter
The strategy calculates a 55-period EMA as a cycle basis, then measures price deviation from this basis as a percentage. When price is more than 0.15% above the cycle basis, the cycle is bullish. When more than 0.15% below, the cycle is bearish.
This filter prevents counter-trend entries. Long signals require bullish cycle alignment; short signals require bearish cycle alignment.
BTC Dominance Filter (Optional) - Market Regime Filter
The strategy can optionally use BTC.D (Bitcoin Dominance) as a market regime filter. When BTC dominance is rising (slope > 0.12), the market is in "risk-off" mode and long entries on altcoins are filtered. When dominance is falling (slope < -0.12), short entries are filtered.
This filter is optional because the BTC.D data feed may lag during low-liquidity periods.
How The Components Work Together (The Mashup Justification):
The strategy uses a composite scoring system where each signal pathway contributes points:
Trend Break pathway (30 points): Requires EMA ribbon alignment + positive slope + price breaks above recent structure high
Momentum Surge pathway (30 points): Requires MACD histogram > adaptive baseline + MACD line > signal + RSI > 55 + MFI > 55 + volume impulse
Squeeze Release pathway (25 points): Requires BB inside KC (squeeze) then release + momentum bias + histogram confirmation
Micro Pullback pathway (15 points): Requires shallow retracement to fast EMA within established trend + histogram confirmation + volume impulse
Additional modifiers:
+5 points if volume impulse is present, -5 if absent
+5 points in velocity regime, -2 in compression regime
+5 points if cycle is aligned, -5 if counter-trend
A trade only executes when the composite score reaches the minimum threshold (default 55) AND all filters agree (session, cycle bias, BTC dominance if enabled).
This scoring system is the core innovation: instead of requiring ALL conditions to be true (which would generate very few signals) or ANY condition to be true (which would generate too many false signals), the strategy requires ENOUGH conditions to be true, with different conditions contributing different weights based on their reliability.
HOW THE STRATEGY CALCULATES ENTRIES AND EXITS
Entry Logic:
1. Calculate current volatility regime from ATR%
2. Calculate all indicator values (MACD, EMA, RSI, MFI, squeeze, volume)
3. Evaluate each signal pathway and sum points
4. Check all filters (session, cycle, dominance, kill switch)
5. If composite score >= 55 AND all filters pass, generate entry signal
6. Calculate position size based on risk per trade and regime-adjusted stop distance
7. Execute entry with regime name as comment
Position Sizing Formula:
RiskCapital = Equity * (0.65 / 100)
StopDistance = ATR * StopMultiplier(regime)
RawQuantity = RiskCapital / StopDistance
MaxQuantity = Equity * (12 / 100) / Price
Quantity = min(RawQuantity, MaxQuantity)
Quantity = round(Quantity / 0.001) * 0.001
This ensures each trade risks approximately 0.65% of equity regardless of volatility, while capping total exposure at 12% of equity.
Stop Loss Calculation:
Stop distance is ATR multiplied by a regime-specific multiplier:
Compression regime: 1.05x ATR (tighter stops because moves are smaller)
Expansion regime: 1.55x ATR (standard stops)
Velocity regime: 2.1x ATR (wider stops to avoid premature exits during volatility)
Take Profit Calculation:
Target distance is ATR multiplied by regime-specific multiplier and base risk/reward:
Compression regime: 1.6x ATR * 1.8 base R:R * 0.9 regime bonus = approximately 2.6x ATR
Expansion regime: 2.05x ATR * 1.8 base R:R * 1.0 regime bonus = approximately 3.7x ATR
Velocity regime: 2.8x ATR * 1.8 base R:R * 1.15 regime bonus = approximately 5.8x ATR
Trailing Stop Logic:
When adaptive trailing is enabled, the strategy calculates a trailing offset based on ATR and regime:
Compression regime: 1.1x base offset (looser trailing to avoid noise)
Expansion regime: 1.0x base offset (standard)
Velocity regime: 0.8x base offset (tighter trailing to lock in profits during fast moves)
The trailing stop only activates when it would be tighter than the initial stop.
Momentum Fail-Safe Exits:
The strategy closes positions early if momentum reverses:
Long positions close if MACD histogram turns negative OR EMA ribbon structure breaks (fast EMA crosses below mid EMA)
Short positions close if MACD histogram turns positive OR EMA ribbon structure breaks
This prevents holding through momentum reversals even if stop loss hasn't been hit.
Kill Switch:
If maximum drawdown exceeds 6.5%, the strategy disables new entries until manually reset. This prevents continued trading during adverse conditions.
HOW TO USE THIS STRATEGY
Step 1: Apply to Chart
Use a 5-minute chart of a high-liquidity cryptocurrency perpetual (BTC/USDT, ETH/USDT recommended)
Ensure at least 200 bars of history are loaded for indicator stabilization
Use standard candlestick charts only (not Heikin Ashi, Renko, or other non-standard types)
Step 2: Understand the Visual Elements
EMA Ribbon: Three lines (8/21/34 periods) showing trend structure. Bullish when stacked upward, bearish when stacked downward.
Background Color: Shows current volatility regime
- Indigo/dark blue = Compression (low volatility)
- Purple = Expansion (normal volatility)
- Magenta/pink = Velocity (high volatility)
Bar Colors: Reflect signal strength divergence. Brighter colors indicate stronger directional bias.
Triangle Markers: Entry signals. Up triangles below bars = long entry. Down triangles above bars = short entry.
Dashboard (top-right): Real-time display of regime, ATR%, signal strengths, position status, stops, targets, and risk metrics.
Step 3: Interpret the Dashboard
Regime: Current volatility classification (Compression/Expansion/Velocity)
ATR%: Normalized volatility as percentage of price
Long/Short Strength: Current composite signal scores (0-100)
Cycle Osc: Price deviation from 55-period EMA as percentage
Dominance: BTC.D slope and filter status
Position: Current position direction or "Flat"
Stop/Target: Current stop loss and take profit levels
Kill Switch: Status of drawdown protection
Volume Z: Current volume z-score
Impulse: Whether volume impulse condition is met
Step 4: Adjust Parameters for Your Needs
For more conservative trading: Increase "Minimum Composite Signal Strength" to 65 or higher
For more aggressive trading: Decrease to 50 (but expect more false signals)
For higher timeframes (15m+): Increase "Structure Break Window" to 12-15, increase "RSI Momentum Trigger" to 58
For lower liquidity pairs: Increase "Volume Impulse Multiplier" to 1.3, increase slippage in strategy properties
To disable short selling: Uncheck "Enable Short Structure"
To disable BTC dominance filter: Uncheck "BTC Dominance Confirmation"
STRATEGY PROPERTIES (BACKTEST SETTINGS)
These are the exact settings used in the strategy's Properties dialog box. You must use these same settings when evaluating the backtest results shown in the publication:
Initial Capital: $100,000
Justification: This amount is higher than typical retail accounts. I chose this value to demonstrate percentage-based returns that scale proportionally. The strategy uses percentage-based position sizing (0.65% risk per trade), so a $10,000 account would see the same percentage returns with 10x smaller position sizes. The absolute dollar amounts in the backtest should be interpreted as percentages of capital.
Commission: 0.04% (commission_value = 0.04)
Justification: This reflects typical perpetual futures exchange fees. Major exchanges charge between 0.02% (maker) and 0.075% (taker). The 0.04% value is a reasonable middle estimate. If your exchange charges different fees, adjust this value accordingly. Higher fees will reduce net profitability.
Slippage: 1 tick
Justification: This is conservative for liquid pairs like BTC/USDT on major exchanges during normal conditions. For less liquid altcoins or during high volatility, actual slippage may be higher. If you trade less liquid pairs, increase this value to 2-3 ticks for more realistic results.
Pyramiding: 1
Justification: No position stacking. The strategy holds only one position at a time. This simplifies risk management and prevents overexposure.
calc_on_every_tick: true
Justification: The strategy evaluates on every price update, not just bar close. This is necessary for scalping timeframes where waiting for bar close would miss opportunities. Note that this setting means backtest results may differ slightly from bar-close-only evaluation.
calc_on_order_fills: true
Justification: The strategy recalculates immediately after order fills for faster response to position changes.
RISK PER TRADE JUSTIFICATION
The default risk per trade is 0.65% of equity. This is well within the TradingView guideline that "risking more than 5-10% on a trade is not typically considered viable."
With the 12% maximum exposure cap, even if the strategy takes multiple consecutive losses, the total risk remains manageable. The kill switch at 6.5% drawdown provides additional protection by halting new entries during adverse conditions.
The position sizing formula ensures that stop distance (which varies by regime) is accounted for, so actual risk per trade remains approximately 0.65% regardless of volatility conditions.
SAMPLE SIZE CONSIDERATIONS
For statistically meaningful backtest results, you should select a dataset that generates at least 100 trades. On 5-minute BTC/USDT charts, this typically requires:
2-3 months of data during normal market conditions
1-2 months during high-volatility periods
3-4 months during low-volatility consolidation periods
The strategy's selectivity (requiring 55+ composite score plus all filters) means it generates fewer signals than less filtered approaches. If your backtest shows fewer than 100 trades, extend the date range or reduce the minimum signal strength threshold.
Fewer than 100 trades produces statistically unreliable results. Win rate, profit factor, and other metrics can vary significantly with small sample sizes.
STRATEGY DESIGN COMPROMISES AND LIMITATIONS
Every strategy involves trade-offs. Here are the compromises made in this design and the limitations you should understand:
Selectivity vs. Opportunity Trade-off
The 55-point minimum threshold filters many potential trades. This reduces false signals but also misses valid setups that don't meet all criteria. Lowering the threshold increases trade frequency but decreases win rate. There is no "correct" threshold; it depends on your preference for fewer higher-quality signals vs. more signals with lower individual quality.
Regime Classification Lag
The ATR-based regime detection uses historical data (21 periods + 13-period smoothing). It cannot predict sudden volatility spikes. During flash crashes or black swan events, the strategy may be classified in the wrong regime for several bars before the classification updates. This is an inherent limitation of any lagging indicator.
Indicator Parameter Sensitivity
The default parameters (MACD 8/21/5, EMA 8/21/34, RSI 21, etc.) are tuned for BTC/ETH perpetuals on 5-minute charts during 2024 market conditions. Different assets, timeframes, or market regimes may require different parameters. There is no guarantee that parameters optimized on historical data will perform similarly in the future.
BTC Dominance Filter Limitations
The CRYPTOCAP:BTC.D data feed may lag during low-liquidity periods or weekends. The dominance slope calculation uses a 5-bar SMA, adding additional delay. If you notice the filter behaving unexpectedly, consider disabling it.
Backtest vs. Live Execution Differences
TradingView backtesting does not replicate actual broker execution. Key differences:
Backtests assume perfect fills at calculated prices; real execution involves order book depth, latency, and partial fills
The calc_on_every_tick setting improves backtest realism but still cannot capture sub-bar price action or order book dynamics
Commission and slippage settings are estimates; actual costs vary by exchange, time of day, and market conditions
Funding rates on perpetual futures are not modeled in backtests and can significantly impact profitability over time
Exchange-specific limitations (position limits, liquidation mechanics, order types) are not modeled
Market Condition Dependencies
This strategy is designed for trending and breakout conditions. During extended sideways consolidation with no clear direction, the strategy may generate few signals or experience whipsaws. No strategy performs well in all market conditions.
Cryptocurrency-Specific Risks
Cryptocurrency markets operate 24/7 without session boundaries. This means:
No natural "overnight" risk reduction
Volatility can spike at any time
Liquidity varies significantly by time of day
Exchange outages or issues can occur at any time
WHAT THIS STRATEGY DOES NOT DO
To be straightforward about limitations:
This strategy does not guarantee profits. Past backtest performance does not indicate future results.
This strategy does not predict the future. It reacts to current conditions based on historical patterns.
This strategy does not account for funding rates, which can significantly impact perpetual futures profitability.
This strategy does not model exchange-specific execution issues (partial fills, requotes, outages).
This strategy does not adapt to fundamental news events or black swan scenarios.
This strategy is not optimized for all market conditions. It may underperform during extended consolidation.
IMPORTANT RISK WARNINGS
Past performance does not guarantee future results. The backtest results shown reflect specific historical market conditions and parameter settings. Markets change constantly, and strategies that performed well historically may underperform or lose money in the future. A single backtest run does not constitute proof of future profitability.
Trading involves substantial risk of loss. Cryptocurrency derivatives are highly volatile instruments. You can lose your entire investment. Only trade with capital you can afford to lose completely.
This is not financial advice. This strategy is provided for educational and informational purposes only. It does not constitute investment advice, trading recommendations, or any form of financial guidance. The author is not a licensed financial advisor.
You are responsible for your own decisions. Before using this strategy with real capital:
Thoroughly understand the code and logic by reading the open-source implementation
Forward test with paper trading or very small positions for an extended period
Verify that commission, slippage, and execution assumptions match your actual trading environment
Understand that live results will differ from backtest results
Consider consulting with a qualified financial advisor
No guarantees or warranties. This strategy is provided "as is" without any guarantees of profitability, accuracy, or suitability for any purpose. The author is not responsible for any losses incurred from using this strategy.
OPEN-SOURCE CODE STRUCTURE
The strategy code is organized into these sections for readability:
Configuration Architecture: Input parameters organized into logical groups (Core Controls, Optimization Constants, Regime Intelligence, Signal Pathways, Risk Architecture, Visualization)
Helper Functions: calcQty() for position sizing, clamp01() and normalize() for value normalization, calcMFI() for Money Flow Index calculation
Core Indicator Engine: EMA ribbon, ATR and regime classification, MACD with adaptive baseline, RSI, MFI, volume analytics, cycle oscillator, BTC dominance filter, squeeze detection
Signal Pathway Logic: Trend break, momentum surge, squeeze release, micro pullback pathways with composite scoring
Entry/Exit Orchestration: Signal filtering, position sizing, entry execution, stop/target calculation, trailing stop logic, momentum fail-safe exits
Visualization Layer: EMA plots, regime background, bar coloring, signal labels, dashboard table
You can read and modify any part of the code. Understanding the logic before deployment is strongly recommended.
- Made with passion by officialjackofalltrades
Trend Strength Matrix [JOAT]Trend Strength Matrix — Multi-Timeframe Confluence Analysis System
This indicator addresses a specific analytical challenge: how to efficiently compare multiple technical measurements across different timeframes while accounting for their varying scales and interpretations. Rather than managing separate indicator windows with different scales, this tool normalizes four distinct analytical approaches to a common -1 to +1 scale and presents them in a unified matrix format.
Why This Combination Adds Value
The core problem this indicator solves is analytical fragmentation. Traders often use multiple indicators but struggle with:
1. **Scale Inconsistency**: RSI ranges 0-100, MACD has no fixed range, ADX ranges 0-100 but measures strength not direction
2. **Timeframe Coordination**: Checking multiple timeframes requires switching between charts or cramming multiple indicators
3. **Cognitive Load**: Processing different indicator types simultaneously creates mental overhead
4. **Confluence Assessment**: Determining when multiple approaches agree requires manual comparison
This indicator specifically addresses these issues by creating a standardized analytical framework where different measurement approaches can be directly compared both within and across timeframes.
Originality and Technical Innovation
While the individual components (RSI, MACD, ADX, Moving Average) are standard, the originality lies in:
1. **Unified Normalization System**: Each component is mathematically transformed to a -1 to +1 scale using component-specific normalization that preserves the indicator's core characteristics
2. **Multi-Timeframe Weighting Algorithm**: Higher timeframes receive proportionally more weight (40% current, 25% next, 20% third, 15% fourth) based on the principle that longer timeframes provide more significant context
3. **Real-Time Confluence Scoring**: The composite calculation provides an instant assessment of how much the different analytical approaches agree
4. **Adaptive Visual Encoding**: The heatmap format allows immediate pattern recognition of agreement/disagreement across both indicators and timeframes
How the Components Work Together
Each component measures a different aspect of market behavior, and their combination provides a more complete analytical picture:
**Momentum Component (RSI-based)**: Measures the velocity of price changes by comparing average gains to losses
**Trend Component (MACD-based)**: Measures the relationship between fast and slow moving averages, indicating trend acceleration/deceleration
**Strength Component (ADX-based)**: Measures trend strength regardless of direction, then applies directional bias
**Position Component (MA-based)**: Measures price position relative to a reference average
The mathematical relationship between these components creates a comprehensive view:
- When all four agree (similar colors), it suggests multiple analytical approaches are aligned
- When they disagree (mixed colors), it highlights analytical uncertainty or transition periods
- The composite score quantifies the degree of agreement numerically
Detailed Component Analysis
**1. Momentum Oscillator Component**
This component transforms RSI into a centered oscillator by subtracting 50 and dividing by 50, creating a -1 to +1 range where 0 represents equilibrium between buying and selling pressure.
// Momentum calculation normalized to -1 to +1 scale
float rsi = ta.rsi(close, rsiLength)
float rsiScore = (rsi - 50) / 50
// Result: 0 at equilibrium, +1 at extreme overbought, -1 at extreme oversold
**2. Moving Average Convergence Component**
MACD is normalized by its own volatility (standard deviation) to create a bounded oscillator. This prevents the unbounded nature of MACD from dominating the composite calculation.
// MACD normalized by its historical volatility
= ta.macd(close, macdFast, macdSlow, macdSignal)
float macdStdev = ta.stdev(macdLine, 100)
float macdScore = macdStdev != 0 ? math.max(-1, math.min(1, macdLine / (macdStdev * 2))) : 0
**3. Directional Movement Component**
This combines ADX (strength) with directional movement (+DI vs -DI) to create a directional strength measurement. ADX alone shows strength but not direction; this component adds directional context.
// ADX-based directional strength
= calcADX(adxLength)
float adxStrength = math.min(adx / 50, 1) // Normalize ADX to 0-1
float adxDirection = plusDI > minusDI ? 1 : -1 // Direction bias
float adxScore = adxStrength * adxDirection // Combine strength and direction
**4. Price Position Component**
This measures price deviation from a moving average, weighted by the magnitude of deviation to distinguish between minor and significant displacements.
// Price position relative to moving average
float ma = ta.sma(close, maLength)
float maDirection = close > ma ? 1 : -1
float maDeviation = math.abs(close - ma) / ma * 10 // Percentage deviation scaled
float maScore = math.max(-1, math.min(1, maDirection * math.min(maDeviation, 1)))
Multi-Timeframe Integration Logic
The multi-timeframe system uses a weighted average that gives more influence to higher timeframes:
// Timeframe weighting system
float currentTF = composite * 0.40 // Current timeframe: 40%
float higherTF1 = composite_tf2 * 0.25 // Next higher: 25%
float higherTF2 = composite_tf3 * 0.20 // Third higher: 20%
float higherTF3 = composite_tf4 * 0.15 // Fourth higher: 15%
float multiTFComposite = currentTF + higherTF1 + higherTF2 + higherTF3
This weighting reflects the principle that higher timeframes provide more significant context for market direction, while lower timeframes provide timing precision.
What the Dashboard Shows
The heatmap displays a grid where:
Each row represents a timeframe
Each column shows one component's normalized reading
Colors indicate the value: green shades for positive, red shades for negative, gray for neutral
The rightmost column shows the composite average for that timeframe
Visual Elements
Moving Average Line — A simple moving average plotted on the price chart
Background Tint — Subtle coloring based on the composite score
Shift Labels — Markers when the composite crosses threshold values
Dashboard Table — The main heatmap display
Inputs
Calculation Parameters:
Momentum Length (default: 14)
MACD Fast/Slow/Signal (default: 12/26/9)
Directional Movement Length (default: 14)
Moving Average Length (default: 50)
Timeframe Settings:
Enable/disable multi-timeframe analysis
Select additional timeframes to display
How to Read the Display
Similar colors across a row indicate the components are showing similar readings
Mixed colors indicate the components are showing different readings
The composite percentage shows the average of all four components
Alerts
Composite crossed above/below threshold values
Strong readings (above 50% or below -50%)
Important Limitations and Realistic Expectations
This indicator displays current analytical conditions—it does not predict future price movements
Agreement between components indicates current analytical alignment, not future price direction
All four components are based on historical price data and inherently lag price action
Market conditions can change rapidly, making current readings irrelevant
Different parameter settings will produce different readings and interpretations
No combination of technical indicators can reliably predict future market behavior
Strong readings in one direction do not guarantee continued movement in that direction
The composite score reflects mathematical relationships, not market fundamentals or sentiment
This tool should be used as one input among many in a comprehensive analytical approach
Appropriate Use Cases
This indicator is designed for:
- Analytical organization and efficiency
- Multi-timeframe confluence assessment
- Pattern recognition in indicator relationships
- Educational study of how different analytical approaches relate
- Supplementary analysis alongside other methods
This indicator is NOT designed for:
- Standalone trading signals
- Guaranteed profit generation
- Market timing precision
- Replacement of fundamental analysis
- Automated trading systems
— Made with passion by officialjackofalltrades
TRI - Support/Resistance Multi Timeframe🎯 BREAKOUT STRATEGY:
This indicator identifies key S/R levels where momentum shifts occur.
Use these levels for high-probability breakout entries.
📈 LONG BREAKOUT SETUP:
Wait for price to approach a RESISTANCE level (above current price)
Look for increasing volume as price tests the level
Enter LONG when price closes decisively ABOVE the resistance zone
Set stop-loss just below the broken resistance (now support)
Target: next resistance level above, or 1:2 risk/reward
📉 SHORT BREAKOUT SETUP:
Wait for price to approach a SUPPORT level (below current price)
Look for increasing volume as price tests the level
Enter SHORT when price closes decisively BELOW the support zone
Set stop-loss just above the broken support (now resistance)
Target: next support level below, or 1:2 risk/reward
⚡ PRO TIPS:
Higher timeframe levels (D, W) are STRONGER - breakouts more reliable
Use "Zones" mode to see the full breakout area, not just a line
Multiple levels clustered together = stronger S/R zone
Failed breakout (price returns inside zone) = potential reversal trade
Combine with volume confirmation for best results
🔔 ALERTS:
Set alerts for new levels on current TF to spot fresh momentum shifts in real-time.
🔗 COMBINE WITH OTHER INDICATORS:
For best results, use this indicator together with:
EMA (50/200) - Dynamic support/resistance for trend confirmation
Volume Profile - Confirms high-volume price levels
When price bounces from a static S/R level AND respects EMA = high-probability trade
📊 DETECTION METHODS:
Choose your preferred method in settings:
MACD MODE:
Uses MACD histogram to identify momentum-based S/R levels:
Histogram dips in positive territory = bullish momentum pausing = SUPPORT zone
Histogram peaks in positive territory = bullish momentum reversal = RESISTANCE zone
Histogram peaks in negative territory = bearish momentum pausing = RESISTANCE zone
Histogram dips in negative territory = bearish momentum reversal = SUPPORT zone
Only significant extremes are marked, filtering out noise
FRACTALS MODE:
Uses pivot high/low detection (similar to Williams Fractals):
Detects swing highs = RESISTANCE levels where price reversed down
Detects swing lows = SUPPORT levels where price reversed up
Uses ta.pivothigh/pivotlow for memory-efficient calculation
"Fractal Periods" setting controls lookback (higher = fewer, stronger levels)
Levels positioned at bar for real-time detection
Mag 7 EMA Trend MonitorDashboard Layout:
1. Symbol Column: The Mag 7 tickers.
2. Trend Column: Visual Bull/Bear status.
3. Strength Column: Percentage distance from the mean (EMA 21).
4. Aggregate Row: Summary of market breadth and average sector pull/push.
How to Interpret the Trend Strength:
• Positive %: The stock is trading above its 21 EMA. A very high number (e.g., $+15\%$) might suggest the stock is "overbought" or overextended.
• Negative %: The stock is trading below its 21 EMA. A very low number (e.g., $-10\%$) might suggest it is "oversold."
• Avg Strength: This gives you a bird's-eye view of the sector. If the aggregate is "5 Up / 2 Down" but the Avg Strength is only $+0.5\%$, the trend is weak and might be exhausting.
"Pro-tips" for tool:
• Multi-Timeframe Correlation: Try setting the Dashboard Timeframe to "D" (Daily) while trading on a "5m" or "15m" chart. This allows you to see if your intraday trade is aligned with the "Big Money" trend of the week.
• The 4/7 Rule: Watch for that Aggregate row to hit 4 out of 7. In the Mag 7, since these stocks carry so much weight in the SPY and QQQ, a shift to a majority (4+) often precedes a move in the overall market indices.
V-Max L3: Battle Director (Resonance & Execution Engine)Overview The V-Max L3 Battle Director is an institutional-grade "Commander Dashboard" designed to synchronize market dynamics across six distinct timeframes. It integrates a sophisticated volatility-burst detection system and a real-time risk-management engine, providing traders with a unified decision-making hub for high-conviction execution.
Technical Methodology & Originality L3 justifies its invite-only status through a multi-layered quantitative architecture:
Macro-to-Micro Resonance Matrix: The engine continuously scans Weekly, Daily, 4H, 1H, 15m, and 3m timeframes. It calculates a "Final Power" score ($final\_p$) by assigning specific weights (Weekly/Daily for structural bias, 4H/1H for execution context) to ensure every signal is validated by multi-cycle alignment.
A++ Diamond Execution Logic: This proprietary signal identifies high-intensity institutional flow. It only triggers when three objective physical conditions converge:
Volume Spike: Exceeding 50% of the 480-bar high.
Volatility Burst: ATR value > 1.3x the rolling SMA.
Momentum Confirmation: MACD divergence alignment.
Tactical RSI Cooling & Reset System: To prevent emotional over-trading, the system features a momentum-reset logic. After a signal fires, the engine enters a "Cooling" state and only re-arms once the RSI crosses back through the neutral 50-line, ensuring each new trade begins from a fresh momentum cycle.
ntegrated 5-Line Risk Engine: The script renders a real-time risk-management overlay. It projects Entry, Stop Loss (SL), TP1 (Partial Reduction), and Final TP levels based on either Fibonacci ratios or fixed Risk:Reward (RR) configurations.
How to Use
Resonance Score: Focus on execution when the dashboard resonance score exceeds ±70%.
A++ Signals: These represent areas of extreme institutional participation and volatility expansion.
Dashboard Matrix: Utilize the sidebar to monitor the directional health and trend synchronization of all 6 timeframes simultaneously.
產品概述 V-Max L3 戰域總監是一款機構級「交易指揮中心」。它同步監測六個不同時區的市場動態，並整合了複雜的波動率爆發偵測系統與實時風險管理引擎，為交易者提供高勝率執行所需的統一決策核心。
技術邏輯與功能 本腳本作為進階邀請指標，其核心價值在於多層次的量化架構：
多維權重共振矩陣： 系統同步監控從週線到 3 分鐘線的 6 個時區。透過計算「綜合決策分 ($final\_p$)」，將週線/日線的趨勢定錨與 4H/1H 的執行背景相結合，確保訊號具備多週期共振的技術基礎。
A++ 鑽石級執行邏輯： 專為識別機構資金流向設計。此訊號僅在三個物理條件收斂時觸發：成交量突破（480 根 K 線新高 50% 以上）、波動率爆發（ATR > 1.3x SMA）以及 MACD 動能確認。
戰術性 RSI 冷卻重置機制： 為防止過度交易，系統內建動能重置邏輯。訊號發射後即進入冷卻期，直到 RSI 回歸 50 中性水平後才會重新裝彈，確保每筆交易都始於全新的動能週期。
整合型五線譜風控引擎： 在圖表上實時投影進場、止損、TP1（減倉）與最終止盈線，並根據帳戶設定自動計算建議下單數量。
Access & Authorization This is an Invite-Only script. Please refer to my TradingView Profile Signature for instructions on how to request access and authorization.
Disclaimer: This script is for advanced technical analysis and educational purposes only. Trading involves risk.
V-Max L2A: Momentum Radar (MTF Resonance Engine)Overview The V-Max L2A Momentum Radar is a high-precision analysis suite designed to synchronize market inertia across six distinct timeframes. Unlike traditional oscillators that focus on a single period, L2A utilizes a proprietary MTF (Multi-Timeframe) Resonance Weighting Engine to align localized execution with macro institutional flow, effectively filtering out micro-market noise.
Core Technical Logic & Originality The script’s value as an invite-only tool is justified by its sophisticated multidimensional calculation engine:
Proprietary MTF Scoring Engine: The system calculates a real-time "Resonance Score" ($w\_score$) by assigning hierarchical weights to momentum data (derived from EMA 200 and RSI 14) across six timeframes:
Weekly (W): 2.0 Weight (Macro Trend Anchor)
Daily (D): 1.5 Weight (Structural Bias)
H4 & H1: 1.0 Weight each (Execution Context)
M15 & M3: 0.5 - 0.3 Weight (Micro-Adjustments) Confluence signals are prioritized only when these disparate timeframes reach a synchronized resonance.
Intelligent Volatility Auto-Filter: To minimize false signals during low-liquidity phases, the internal MACD histogram is dynamically calibrated against 100-bar peak intensity and a 20-period Volume SMA. This ensures signals are only generated during periods of significant market participation.
7-State Tactical Status Machine: The UI provides a real-time assessment of market bias (e.g., "Full Long," "Prohibit Short," "Structural Adjustment"). This status is derived from the convergence of the internal $w\_score$ and specific RSI volatility thresholds.
Automated Divergence & Volume Monitoring: The engine includes an automated divergence detection system (visualized as △/▽ signals) integrated with relative volume analysis (>1.5x average). This identifies potential momentum exhaustion and high-probability reversal zones.
How to Use
Confluence Entry: Monitor the "7-State Status" for high-conviction regimes (e.g., Full Long/Short) synchronized with volume-confirmed MACD crossovers.
Alert System: Utilize the integrated alert module to receive notifications when significant MTF resonance shifts occur, indicating a macro change in market inertia.
產品概述 V-Max L2A 動能雷達是一款高精度分析套件，旨在同步六個不同時間週期的市場慣性。與僅關注單一週期的指標不同，L2A 採用專有的「MTF 共振加權引擎」，將局部執行方向與宏觀機構資金流向對齊，有效過濾微觀雜訊。
核心技術邏輯與原創性本腳本作為僅限邀請工具，其技術價值體現在其複雜的多維度運算引擎：
專有 MTF 評分引擎： 系統透過為六個時區的動能數據（基於 EMA 200 與 RSI 14）分配階層式權重來計算實時「共振分數 ($w\_score$)」。權重從週線的 2.0（趨勢定錨）到 M3 的 0.3（微觀修正）不等。只有當這些時區達成共振時，訊號才會被視為高優先級。
智能波動率自動濾波： 為減少低流動性時期的虛假訊號，內部的 MACD 柱狀體會根據 100 根 K 線的峰值強度與成交量均線進行動態校準。
七階戰術狀態機： 界面實時顯示市場偏好（如：全力做多、禁止做空、結構調整），這是根據內部 $w\_score$ 與 RSI 波動門檻的收斂結果計算而成。
自動化背離與成交量監控： 內建自動背離檢測系統（△/▽），並結合相對成交量分析（超過 1.5 倍平均值），用以識別動能耗盡與高概率的反轉區域。
Access & Authorization This is an Invite-Only script. Please refer to my TradingView Profile Signature for instructions on how to request access and authorization.
Disclaimer: This script is for technical analysis and educational purposes only. Trading involves risk.
AMax: Sniper Master V3.5 (Target Position)AMax: Sniper Master V3.5 (Target Position)
Overview AMax: Sniper Master V3.5 is a technical execution framework designed for volatility-based position sizing and risk management. Its primary objective is to filter out low-volatility "noise" and ensure that capital is deployed only when market conditions provide sufficient physical range to meet specific profit targets.
Core Mathematical Logic & Features This script does not provide buy/sell signals but serves as a mathematical engine to calculate optimal execution parameters based on the following logic:
Adaptive Midpoint Defense (Volatility Filter): The script monitors Relative Volume (RelVol). If $RelVol < 0.8$, the system identifies a low-liquidity environment and dynamically shifts the defensive line to a tactical midpoint (calculated as the average between the 3-minute and 15-minute structural levels). This reduces position sensitivity to random price wicks while maintaining a balanced risk-reward ratio.
Momentum Overheat Protection: Utilizing the Relative Strength Index (RSI), the script triggers a "Cooling" status when RSI values exceed 80 or drop below 20. This logic is implemented to prevent entry at exhausted price extremes (FOMO protection).
Quantitative Budget Guard: Users can input a specific "Trade Budget." The script then calculates the precise position size by dividing the budget by the distance to the calculated stop-loss level, ensuring that the maximum loss per trade never exceeds the user-defined threshold.
Real-time UI Friction Analysis: Rows 8 and 9 of the dashboard provide real-time data on "Physical Profit Space" (current range vs. target) and "Fee Friction" (calculating the impact of exchange fees on the net profit of a single unit).
How to Use
Identify your entry point based on your primary strategy.
Input your "Trade Budget" and "Target Profit" in the script settings.
Observe the Dashboard for "Overheat" status and "Tactical Midpoint" levels to adjust your execution.
產品概述 AMax: Sniper Master V3.5 是一個基於波動率的倉位計算與風險管理技術框架。其核心目標是過濾低波動時期的雜訊，確保僅在市場波幅足以支撐獲利目標時才進行資金部署。
核心數學邏輯與功能 本腳本不直接提供買賣訊號，而是作為一個數學引擎，根據以下邏輯計算最佳執行參數：
戰術折衷止損 (波動率濾網)： 腳本持續監測相對成交量 (RelVol)。當 $RelVol < 0.8$ 時，系統識別為低流動性環境，並將防線動態切換至「戰術中點」（計算為 3 分鐘與 15 分鐘結構位之平均值），以防止隨機插針觸發止損。
動能過熱保護： 利用相對強弱指標 (RSI)，當 RSI 超過 80 或低於 20 時觸發「冷卻」狀態，防止在價格極端疲勞處進場。
定量預算防禦： 使用者定義「單筆預算」，腳本自動將預算除以止損距離，精算出符合風險控制的下單量。
實時 UI 磨損分析： 表格實時顯示「物理獲利空間」與「交易手續費磨損」，幫助交易者判斷當前空間是否值得參與。
如何使用
根據您的主策略決定進場點。
在腳本設定中輸入您的「作戰預算」與「獲利目標」。
參考儀表板中的「過熱狀態」與「戰術中點」位階來優化您的執行紀律。
Access & Authorization This is an Invite-Only script. To request access, please refer to the instructions provided in my TradingView Profile Signature.
Disclaimer: This script is for educational and technical analysis purposes only. Trading involves significant risk.
TechDash+Deliv :MultiCondition Dashboard for Swing,Position TechDash+Deliv: Multi‑Condition Dashboard for Swing/Position Trading
This dashboard is designed for swing and position trading on Indian stocks (NSE/BSE), combining multi‑timeframe trend, momentum, volume, and sector context into a single visual panel. It helps filter high‑probability setups by requiring alignment across multiple factors, reducing false signals in choppy or low‑volume markets.
► Strategy Logic (Conceptual Flow)
The script evaluates 6 key conditions:
1. Short‑term trend: Price above EMA 21
2. Medium‑term trend: Price above EMA 50
3. Long‑term trend: Price above EMA 200
4. Momentum: RSI in the 45–65 range (avoiding overbought/oversold extremes)
5. Participation: Volume > 1.25× its 5‑bar average
6. Trend strength: Supertrend in bullish mode
A BUY signal is generated only when **4 or more of these conditions are satisfied** (this threshold is configurable). This multi‑condition approach ensures that entries are taken only when trend, momentum, and volume align, rather than on a single indicator.
► Dashboard Features
The on‑chart panel shows:
- Technical Signals:
EMA 21 / 50 / 200 status, RSI 45–65, Volume > 1.25× avg, Supertrend direction.
- Delivery Volume Proxy:
- Delivery Qty (K) and Avg Delivery Qty (K)
- Delivery Qty × Avg (a proxy for delivery strength)
- Highlighted in light green when Delivery Qty > 2× Avg — indicating unusually strong delivery interest, often seen during accumulation.
- Sector & Market Context:
- Sector, Industry
- Sector Index % change (e.g., NIFTY, BANKNIFTY, etc.) to gauge relative strength.
► How to Use
- Best timeframes: Daily or higher (weekly) for swing/position trading.
- Best assets: Liquid NSE/BSE stocks with consistent delivery activity.
- Entry: Use the BUY arrow as a trigger, but always confirm with:
- Price action (support / breakout / candlestick pattern)
- Sector strength (prefer stocks in outperforming sectors)
- Proper risk management (stop‑loss below recent swing low, position sizing as per your risk profile).
- Exit: Combine with trailing stop, target levels, or trend reversal signals.
► Why This Combination?
This is not just a simple mashup of indicators; it is specifically tuned for Indian delivery/swing trading:
- Multi‑timeframe EMA filter (21/50/200) ensures alignment across short, medium, and long term.
- RSI 45–65 avoids chasing overbought stocks or catching falling knives.
- Volume + delivery proxy helps focus on stocks with strong participation and genuine delivery interest.
- Supertrend adds trend‑strength confirmation.
- Sector context prevents buying weak stocks in weak sectors.
The dashboard format allows quick visual scanning of all conditions, making it easier to spot high‑probability setups without cluttering the chart.
► Important Notes
- Delivery Qty is a proxy based on volume (since TradingView does not provide real delivery data).
- You can later replace this proxy with real delivery data (e.g., from screener or broker) if available.
- This is a decision‑support dashboard, not a fully automated trading bot. Always use price action, sector strength, and proper risk management.
5x Multi-Timeframe Moving AveragesSince I use EMA lines a lot and I typically want them based on one timeframe - say: D1 - while looking into higher or lower timeframes, I made this simple indicator:
- Up to 5 moving averages (SMA, EMA, ...)
- on chart timeframe or any defined timeframe (W, D, H4, H1, 30min, ...)
- each with user defined length / number of periods of calculation
- each in user defined line style, width and color.
Straight forward but very handy. Enjoy.
Juergen
