Kyle交易系统核心信号EA ｜ Kyle Core Signal EA System📘 概述 | Overview
中文：
Kyle交易系统核心信号EA是一款为现代交易者打造的多功能趋势识别与自动风控系统。
它集成了 Heikin Ashi 趋势检测 + ATR 波动通道 + EMA 趋势过滤，能在价格反转早期精准捕捉多空信号，并自动绘制止损与三重止盈结构。
English:
Kyle Core Signal EA System is an all-in-one trading assistant designed for modern traders who need trend precision, risk automation, and multi-target exits.
It combines Heikin Ashi, ATR Volatility Channels, and EMA Direction Filters to deliver clean Buy/Sell signals with instant Stop Loss and 3 Take-Profit levels.
⚙️ 核心逻辑 | Core Logic
中文：
1️⃣ 趋势引擎： 通过 Heikin Ashi + ATR 计算动态通道，捕捉真实趋势反转。
2️⃣ EMA过滤： 避免虚假信号，仅在趋势方向一致时触发。
3️⃣ 风控系统： 每次信号生成后自动计算：
入场价（Entry）
止损价（Stop Loss）
三个止盈目标（TP1 / TP2 / TP3）
4️⃣ EA警报模块： 自动生成标准格式警报，可直接对接 EA / MT4 / MT5 / API 执行。
English:
1️⃣ Trend Engine: Heikin Ashi + ATR-based channel captures true reversals.
2️⃣ EMA Filter: Filters out false signals and confirms directional consistency.
3️⃣ Risk Management: Automatically calculates Entry, Stop Loss, and three layered profit targets (TP1 / TP2 / TP3).
4️⃣ EA Alert Module: Pre-formatted alerts ready for EA / MT4 / MT5 / API execution.
📊 主要功能 | Key Features
中文：
✅ 自动趋势识别（Heikin Ashi + ATR）
✅ EMA方向过滤，去除假突破
✅ 自动绘制进场、止损、止盈价位
✅ 三重止盈结构（TP1 / TP2 / TP3）
✅ 自定义ATR倍数（止损与目标）
✅ 支持警报联动EA执行
✅ 全图可视化交易结构
English:
✅ Auto Trend Recognition (Heikin Ashi + ATR)
✅ EMA Direction Filter (Noise Reduction)
✅ Entry/Stop/Target visualization
✅ Triple Take-Profit structure (TP1 / TP2 / TP3)
✅ Customizable ATR Multipliers
✅ EA-compatible alert format
✅ Full chart visualization and real-time updates
🔔 警报输出格式 | Alert Format
中文：
多头信号（LONG）：
LONG|symbol=XAUUSD|zhisun=1980.5|jinchang=1985.0|price1=1987.5|price2=1990.0|price3=1993.5
空头信号（SHORT）：
SHORT|symbol=XAUUSD|zhisun=1990.5|jinchang=1985.0|price1=1982.5|price2=1979.5|price3=1976.0
English:
Long Signal:
LONG|symbol=XAUUSD|zhisun=1980.5|jinchang=1985.0|price1=1987.5|price2=1990.0|price3=1993.5
Short Signal:
SHORT|symbol=XAUUSD|zhisun=1990.5|jinchang=1985.0|price1=1982.5|price2=1979.5|price3=1976.0
These messages can be directly parsed by any EA, bot, or API-based trade executor.
💡 使用建议 | Recommended Usage
中文：
🔥 推荐品种：黄金 (XAUUSD)、原油 (USOIL)、外汇 (EURUSD/GBPUSD)、加密货币 (BTC/ETH)
⏱ 推荐周期：2分钟 / 5分钟/15分钟 / 1小时
🎯 止损策略：建议 1.5 × ATR
📊 止盈策略：分批止盈（TP1 → TP3）
💡 可搭配 Supertrend、RSI、成交量指标作为辅助过滤。
English:
🔥 Best for: Gold (XAUUSD), Oil (USOIL), Forex (EURUSD/GBPUSD), Crypto (BTC/ETH)
⏱ Suggested Timeframes: 2m/5m / 15m / 1h
🎯 Stop Loss: ~1.5× ATR (default)
📊 Take Profit: Gradual scaling out (TP1 → TP3)
💡 Combine with Supertrend, RSI, or Volume for confirmation.
🧭 系统优势 | Advantages
优势 (中文) Advantages (English)
🎯 精准趋势识别 Accurate trend reversal detection
🔍 有效过滤虚假信号 EMA directional confirmation
🧮 自动风控绘制 Auto Stop/Target plotting
⚡ EA联动警报 EA-ready Alert Message Format
💎 多市场兼容 Works with Gold, Forex, Crypto
🖥️ 清晰可视化结构 Clean & structured chart layout
👤 作者介绍 | About the Author
中文：
作者 Kyle（TG: Kylexauusd）是一名专注于黄金与外汇系统交易的策略设计师。
本系统融合了量化逻辑与实盘验证，是多年趋势捕捉经验的成果。
English:
Developed by Kyle (TG: Kylexauusd） —
A professional system trader specialized in Gold & Forex strategies.
This system represents years of experience in automated and structured trading.
⚠️ 风险提示 | Disclaimer
中文：
本脚本仅供学习与策略研究，不构成任何投资建议。
实盘交易请务必做好风险控制与仓位管理。
English:
This script is for educational and research purposes only.
It does not constitute financial advice.
Trading involves risk — please manage your capital responsibly.
✨ Kyle交易系统核心信号EA ｜ Kyle Core Signal EA System
Trade Smarter. Trade Structured.
一张图看趋势、看风控、看方向。 OANDA:XAUUSD TVC:DXY BINANCE:ETHUSDT.P BINANCE:BTCUSDT.P
تحليل الاتجاه
Regular Trading Hours Opening Range Gap (RTH ORG)### Regular Trading Hours (RTH) Gap Indicator with Quartile Levels
**Overview**
Discover overnight gaps in index futures like ES, YM, and NQ, or stocks like SPY, with this enhanced Pine Script v6 indicator. It visualizes the critical gap between the previous RTH close (4:15 PM ET for futures, 4:00 PM for SPY) and the next RTH open (9:30 AM ET), helping traders spot potential price sensitivity formed during after-hours trading.
**Key Features**
- **Standard Gap Boxes**: Semi-transparent boxes highlight the gap range, with optional text labels showing day-of-week and "RTH" identifier.
- **Midpoint Line**: A customizable dashed line at the 50% level, with price labels for quick reference.
- **New: Quartile Lines (25% & 75%)**: Dotted lines (default width 1) mark the quarter and three-quarter points within the gap, ideal for finer intraday analysis. Toggle on/off, adjust style/color/width, and add labels.
- **High-Low Gap Variant**: Optional boxes and midlines for gaps between the prior close's high/low and the open's high/low—perfect for wick-based overlaps on lower timeframes (5-min or below recommended).
- **RTH Close Lines**: Extend previous close levels with dotted lines and price tags.
- **Customization Galore**: Extend elements right, limit historical displays (default: 3 gaps), no-plot sessions (e.g., avoid weekends), and time offsets for non-US indices.
**How to Use**
Apply to 15-min or lower charts for best results. Toggle "extend right" for ongoing levels. SPY auto-adjusts for its 4 PM close.
Tested on major indices—enhance your gap trading strategy today! Questions? Drop a comment.
Thanks to twingall for supplying the original code.
Thanks to The Inner Circle Trader (ICT) for the logical and systematic application.
6 minutes ago
Release Notes
### Regular Trading Hours (RTH) Gap Indicator with Quartile Levels
**Overview**
Discover overnight gaps in index futures like ES, YM, and NQ, or stocks like SPY, with this enhanced Pine Script v6 indicator. It visualizes the critical gap between the previous RTH close (4:15 PM ET for futures, 4:00 PM for SPY) and the next RTH open (9:30 AM ET), helping traders spot potential price sensitivity formed during after-hours trading.
**Key Features**
- **Standard Gap Boxes**: Semi-transparent boxes highlight the gap range, with optional text labels showing day-of-week and "RTH" identifier.
- **Midpoint Line**: A customizable dashed line at the 50% level, with price labels for quick reference.
- **New: Quartile Lines (25% & 75%)**: Dotted lines (default width 1) mark the quarter and three-quarter points within the gap, ideal for finer intraday analysis. Toggle on/off, adjust style/color/width, and add labels.
- **High-Low Gap Variant**: Optional boxes and midlines for gaps between the prior close's high/low and the open's high/low—perfect for wick-based overlaps on lower timeframes (5-min or below recommended).
- **RTH Close Lines**: Extend previous close levels with dotted lines and price tags.
- **Customization Galore**: Extend elements right, limit historical displays (default: 3 gaps), no-plot sessions (e.g., avoid weekends), and time offsets for non-US indices.
**How to Use**
Apply to 15-min or lower charts for best results. Toggle "extend right" for ongoing levels. SPY auto-adjusts for its 4 PM close.
Tested on major indices—enhance your gap trading strategy today! Questions? Drop a comment.
Thanks to twingall for supplying the original code.
Thanks to The Inner Circle Trader (ICT) for the logical and systematic application.
+++ 2025.10.13 added new labels / fixed bugs
Trading Life ProOverview
Trading Life Pro is an advanced all-in-one indicator built for TradingView users who demand precision and insight. It delivers real-time entry and exit signals, dynamic support and resistance levels, and deep analytical tools designed to elevate your trading strategy. Every component is optimized for accuracy, speed, and clarity — helping you make confident, data-driven decisions in any market.
Key Features
Non-Repaint Signals: All entries are locked once generated — no repainting, no false signals.
Real-Time Entry & Exit: Get immediate trade signals as market conditions evolve.
Smart Range Finder: Identify ideal trading zones based on current volatility and market structure.
Fundamental Analyzer: Automatically assess economic and market factors with on-chart insights once sufficient data is available.
Automatic 3-TP Levels: Configure up to three adaptive take-profit levels that track live market momentum.
Duo FVG Detection: Spot and trade Fair Value Gaps across consecutive candles for ultra-precise entries and exits.
Dynamic Support & Resistance: Detect key turning points and price reaction zones in real time.
Candle Sentiment Analyzer: Identify bullish and bearish candlestick formations to gauge market sentiment.
Market Screener: Scan multiple markets to uncover high-probability trade setups.
Adaptive Modes: Switch easily between Default, Aggressive, and Long Shot presets to match your trading style.
Trend Power Analyzer: Measure and visualize the strength of market trends directly from candlestick behavior.
Hyper Insights: Unlock advanced, context-based analytics for better decision-making.
RSI Analyzer: Evaluate overbought and oversold conditions with dynamic RSI integration.
Custom Alerts: Receive instant notifications for trade entries, trend shifts, or market changes.
Lifetime Access: One-time purchase — no subscriptions, no hidden costs.
Universal Compatibility: Works on all currency pairs, indices, and timeframes.
Heikin Ashi Optimized: Fully compatible and optimized for Heikin Ashi charts for smooth visualization and fast loading.
Free Updates & Training: Enjoy continuous updates plus a free video tutorial to master every feature.
Description
Trading Life Pro delivers a comprehensive trading toolkit within TradingView. From pinpoint entries and automated take-profit levels to real-time analysis of trends, fundamentals, and fair value gaps — every feature is crafted for traders seeking consistency and edge.
With powerful alerts, adaptive presets, and universal compatibility, Trading Life Pro seamlessly integrates into any trading workflow, supporting all markets, timeframes, and chart types.
Usage
Access real-time trade signals directly on TradingView.
Use Smart Range Finder and Fundamental Analyzer for context-driven entries.
Configure Automatic TP Levels and analyze trend strength via candlestick and RSI tools.
Enable alerts to stay informed about market shifts and entry confirmations — even when you’re away from the screen.
HMA High/Low Band - Trend Color HMA High/Low Band Trend
Visualize market trends clearly with a single Hull Moving Average (HMA) and dynamic high/low bands. The indicator colors the HMA and its bands based on trend direction:
Green = Uptrend
Red = Downtrend
Gray = Sideways
The band adjusts dynamically to price action, giving a clear view of trending and sideways markets without cluttering your chart. Ideal for traders who want a smooth trend filter with instant visual cues.
Confirmed Breakout Detector v2This indicator automatically:
Detects breakouts above recent resistance (pivot high).
Confirms volume surge (≥ 1.5× average 50-day volume).
Compares RS line vs QQQ to ensure leadership.
Checks candle strength (close in upper half).
Verifies MACD slope ≥ 0 (no bearish divergence).
Plots green triangles under confirmed buys, orange for watch-list breakouts.
Displays an on-chart label (HUD) with real-time confirmation status.
Supports TradingView alerts, so you can set “Confirmed Buy Alert” → Send Email / App Notification.
Institutional AI-Enhanced Market StructureInstitutional AI-Enhanced Market Structure Indicator
COMPREHENSIVE DESCRIPTION
Overview and Purpose
This indicator combines institutional trading concepts (Smart Money Concepts) with a proprietary AI-inspired probability scoring system to identify high-probability trading opportunities. Unlike standard trend-following or support/resistance indicators, this tool integrates multiple institutional order flow concepts and quantifies their confluence through a dynamic scoring algorithm that adapts to market conditions.
The indicator is closed-source because it contains a unique multi-factor probability calculation engine and adaptive parameter optimization system that took extensive development and backtesting to create. The specific weighting, thresholds, and interaction between components represent proprietary intellectual property.
What Makes This Original
1. AI-Inspired Adaptive Probability Scoring System
The core innovation is a dynamic scoring algorithm that evaluates trade setups based on 6 confluence factors:
Market Structure Quality (20 points): Validates Break of Structure (BOS) or Change of Character (CHoCH) using pivot-based swing analysis
Order Flow Strength (15 points): Measures institutional volume participation relative to 20 and 50-period moving averages with standard deviation filtering
Liquidity Engineering (15 points): Detects liquidity sweeps at equal highs/lows (EQL) where retail stop losses cluster
Imbalance Presence (10 points): Identifies unfilled Fair Value Gaps (3-candle imbalances) as institutional entry zones
Market Regime Alignment (10 points): Confirms directional bias through multi-factor regime classification
Volatility Environment (5 points): Penalizes signals during high-volatility "chop" periods
Each factor is weighted based on backtested importance, and the total score (50-100%) must exceed a user-defined threshold before displaying signals. This is NOT a simple indicator mashup—the scoring system dynamically evaluates how these concepts work together in real-time.
2. Dynamic Market Regime Detection
Most indicators use static parameters. This indicator continuously classifies the market into one of four regimes using four calculations:
Trend Strength: EMA(21) vs EMA(50) divergence relative to price
Volatility Ratio: Current price standard deviation vs 50-period average
Volume Regime: Current volume vs 50-period SMA
Average Daily Range: 20-bar high-low range normalized to price
Based on these inputs, the algorithm classifies markets as:
BULL_TREND: Strong upward momentum with above-average volume
BEAR_TREND: Strong downward momentum with above-average volume
RANGING: Low trend strength with contained volatility
VOLATILE: Elevated volatility ratio above 1.5x average
The regime detection then adaptively modifies:
ATR multipliers for stop placement (2.5x in volatile, 1.2x in ranging, 1.8x in trending)
Signal probability requirements (higher in volatile conditions)
Order block decay rates
Fair value gap sensitivity
3. Institutional Order Flow Integration
The indicator detects and tracks institutional footprints through three proprietary methods:
Order Blocks: Unlike simple supply/demand zones, this uses a multi-condition filter:
Volume spike > 2.0 standard deviations above 20-period average
Large candle body > 0.8x ATR
Confirmation of Break of Structure in the same direction
Touch tracking and "tested" status when price revisits
Automatic decay after user-defined bars (prevents chart clutter)
Fair Value Gaps (Imbalances): 3-candle inefficiency detection where:
Bullish FVG: low > high AND close > high (gap between candle 0 and 2)
Bearish FVG: high < low AND close < low
Real-time fill percentage tracking as price revisits the gap
Assumes institutions will defend or fill these imbalances
Liquidity Zones: Detects equal highs/lows where retail stops cluster:
Identifies swing points within user-defined percentage threshold (default 0.3%)
Tracks "sweep" events when price spikes through then reverses (wick through level, close back inside)
Differentiates swept vs unswept liquidity for entry timing
4. Volume-Weighted Dynamic Levels
Instead of simple moving averages or static pivots, support/resistance are calculated using volume-weighted price:
Support = Σ(low × volume ) / Σ(volume ) for i=0 to 19
Resistance = Σ(high × volume ) / Σ(volume ) for i=0 to 19
This gives more weight to price levels with higher institutional participation, creating more reliable stop-loss placement when "Adaptive Stop Loss" is enabled.
5. Multi-Timeframe Confluence
The indicator queries daily timeframe data for higher-timeframe confirmation:
Daily EMA trend direction (21 vs 50)
Daily volume regime (above/below 20-period average)
Daily market regime classification
Signals only trigger when current timeframe setup aligns with daily timeframe bias, filtering out counter-trend noise.
How It Works - Technical Methodology
Market Structure Detection (Smart Money Concepts)
Uses ta.pivothigh() and ta.pivotlow() with user-defined strength (default 5 bars each side)
Stores last 50 swing highs and lows in arrays for historical reference
Break of Structure (BOS): Price closes beyond the most recent swing high (bullish) or swing low (bearish)
Change of Character (CHoCH): Price breaks counter-trend structure (low breaks above previous swing low = potential reversal)
Signal Generation Logic
A valid LONG signal requires ALL of the following:
Setup: Bullish BOS or CHoCH confirmed
Confirmation: Bullish liquidity sweep OR unfilled bullish FVG present
HTF Alignment: Daily timeframe in uptrend with above-average volume
Probability Score: AI scoring system returns ≥65% (user adjustable 50-95%)
Risk:Reward: Calculated stop (ATR-based or adaptive) allows minimum 2:1 R:R (user adjustable)
SHORT signals use inverse logic (bearish structure, bearish sweeps/FVGs, daily downtrend).
Adaptive Risk Management
Stop loss calculation adapts based on:
Current market regime (wider stops in volatile markets)
Volume-weighted support/resistance levels when "Adaptive" enabled
Minimum risk threshold (0.2% of price) to avoid over-tight stops
Take profit targets automatically calculate based on user-defined risk:reward ratio (default 2:1).
How To Use This Indicator
Initial Setup
Market Structure Group:
Start with default Swing Strength (5) for 1H-4H timeframes
Increase to 10-15 for daily timeframes
Decrease to 3 for scalping on 5-15min timeframes
AI Features Group:
Set "Signal Probability Threshold" to 65% for balanced approach
Increase to 75-80% for fewer but higher-quality signals
Lower to 60% in strong trending markets for more entries
Risk Management:
Enable "Adaptive Stop Loss" for dynamic support/resistance-based stops
Set "Minimum Risk:Reward" to 2.0 or higher (institutional standard)
Adjust ATR Length (14) based on timeframe (shorter for intraday)
Reading The Signals
Visual Elements:
Small triangles: Swing highs (red) and lows (green) - market structure pivots
Circles: Break of Structure - lime (bullish) or red (bearish)
Diamonds: Change of Character - cyan (bullish reversal) or orange (bearish reversal)
Boxes: Order blocks (green=bullish, red=bearish, yellow border=tested)
Transparent boxes: Fair Value Gaps (blue=bullish, purple=bearish)
Dashed/solid lines: Liquidity zones (purple=unswept, yellow=swept)
Large arrows: Trade signals with probability % (🔼 LONG / 🔽 SHORT)
Red/Green lines: Stop loss and take profit levels
Statistics Dashboard (top right by default):
Market Regime: Current classification (BULL_TREND, BEAR_TREND, RANGING, VOLATILE)
Volatility Ratio: Current vs average volatility (>1.5 = avoid trading)
Volume Regime: Current vs average volume (>1.2 = strong institutional participation)
Active Order Blocks: Number of untested institutional zones
Unfilled FVGs: Number of imbalances awaiting price return
Liquidity Zones: Unswept equal highs/lows (potential reversal areas)
HTF Alignment: Daily timeframe bias (confirm direction)
Last Signal Prob: Confidence score of most recent signal
Trading Strategy
For LONG Entries:
Wait for bullish BOS or CHoCH marker (circle/diamond below price)
Confirm market regime is BULL_TREND or RANGING (not VOLATILE)
Look for bullish liquidity sweep (yellow line below price) or unfilled bullish FVG (blue box)
When all align, watch for 🔼 LONG signal with probability ≥65%
Enter on signal candle close
Stop loss = red line, Take profit = green line
Monitor FVG fills and order block tests for possible early exit
For SHORT Entries:
Same logic in reverse (bearish structure, BEAR_TREND regime, bearish sweeps/FVGs, 🔽 SHORT signals)
Advanced Usage:
Order Block Confluence: Highest probability entries occur when price retraces to tested order block (yellow border) + FVG overlap
Liquidity Sweep Reversals: Best entries often follow immediate sweep (yellow line) then signal in opposite direction
Regime Filtering: Avoid trading during VOLATILE regime or when volatility ratio >1.5
HTF Confirmation: Only take signals when HTF Alignment matches direction (BULLISH for longs, BEARISH for shorts)
Customization:
Every visual element has individual toggle and color controls in settings:
Hide swing points if chart too cluttered
Disable BOS/CHoCH markers if only using order blocks
Turn off FVGs if focusing on liquidity sweeps
Customize colors to match your chart theme
Reposition dashboard to any corner
Why This Requires Closed-Source Protection
This indicator represents months of development integrating:
Proprietary probability weighting system - The specific point allocation (20/15/15/10/10/5) and interaction logic between factors is based on extensive backtesting across multiple markets and timeframes
Adaptive parameter optimization algorithms - How the indicator modifies ATR multipliers, decay rates, and thresholds based on regime detection uses proprietary mathematical relationships
Volume-weighted level calculations - The specific lookback periods and weighting formulas for dynamic support/resistance are optimized through statistical analysis
Multi-factor regime classification - The exact thresholds for trend strength (0.02), volatility ratio (1.3/1.5), and volume regime (1.0/1.2) are calibrated values
While the underlying concepts (SMC, order blocks, FVGs) are known, the integration methodology, scoring system, and adaptive algorithms are original intellectual property. An open-source version would allow immediate copying of years of development work, defeating the purpose of creating a professional-grade tool.
The detailed description above provides traders with complete transparency on WHAT the indicator does and HOW to use it effectively, without revealing the exact mathematical relationships and thresholds that make it effective.
Disclaimer
This indicator is an analytical tool for identifying potential trading opportunities based on institutional order flow concepts. It does not guarantee profits and should be used alongside proper risk management, fundamental analysis, and personal trading rules. Past performance does not indicate future results. Always use stop losses and never risk more than you can afford to lose.
AlphaTrend - Medium Term Trend Probability Indicator on TOTALESWHAT IS ALPHATREND?
AlphaTrend is a consensus-based trend identification system that combines 7 independent trend detection methodologies into a single probability score. Designed for medium-term trading (days to weeks), it aggregates diverse analytical approaches—from volatility-adjusted moving averages to statistical oscillators—to determine directional bias with quantifiable confidence.
Unlike single-indicator systems prone to false signals during consolidation, AlphaTrend requires majority agreement across multiple uncorrelated methods before generating directional signals, significantly reducing whipsaws in choppy markets.
METHODOLOGY - THE 7-INDICATOR VOTING SYSTEM
Each indicator analyzes trend from a mathematically distinct perspective and casts a vote: +1 (bullish), -1 (bearish), or 0 (neutral). The average of all 7 votes creates the final probability score ranging from -1 (strong bearish) to +1 (strong bullish).
1. FLXWRT RMA (VOLATILITY-ADJUSTED BASELINE)
Method: RMA (Running Moving Average) with ATR-based dynamic bands
Calculation:
RMA = Running MA of price over 12 periods
ATR = Average True Range over 20 periods
Long Signal: Price > RMA + ATR
Short Signal: Price < RMA - ATR
Logic: Trend confirmed only when price breaks beyond volatility-adjusted boundaries, not just the moving average itself. This filters noise by requiring momentum sufficient to overcome recent volatility.
Why it works: Standard MA crossovers generate excessive false signals in ranging markets. Adding ATR bands ensures price has genuine directional momentum, not just minor fluctuations.
Settings:
RMA Length (12): Base trend smoothing
ATR Length (20): Volatility measurement period
2. BOOSTED MOVING AVERAGE (MOMENTUM-ENHANCED TREND)
Method: Double EMA with acceleration boost factor
Calculation:
EMA1 = EMA(close, length)
EMA2 = EMA(close, length/2) // Faster EMA
Boosted Value = EMA2 + sensitivity × (EMA2 - EMA1)
Final = EMA smoothing of Boosted Value
Logic: Amplifies the difference between fast and slow EMAs to emphasize trend momentum. The boost factor (1.3) accelerates response to directional moves while subsequent smoothing prevents over-reaction.
Why it works: Traditional MAs lag price action. The boost mechanism projects trend direction forward by amplifying the momentum differential between two EMAs, providing earlier signals without sacrificing reliability.
Settings:
Length (36): Base EMA period
Boost Factor (1.3): Momentum amplification multiplier
Originality: This is a proprietary enhancement to standard double EMA systems. Most indicators simply cross fast/slow EMAs; this one mathematically projects momentum trajectory.
3. HEIKIN ASHI TREND (T3-SMOOTHED CANDLES)
Method: Heikin Ashi candles with T3 exponential smoothing
Calculation:
Heikin Ashi candles = Smoothed OHLC transformation
T3 Smoothing = Triple-exponential smoothing (Tillson T3)
Signal: T3(HA_Open) crosses T3(HA_Close)
Logic: Heikin Ashi candles filter intrabar noise by averaging consecutive bars. T3 smoothing adds additional filtering using Tillson's generalized DEMA algorithm with custom volume factor.
Why it works: Regular candlesticks contain high-frequency noise. Heikin Ashi transformation creates smoother trends, and T3 smoothing eliminates remaining whipsaws while maintaining responsiveness. The T3 algorithm specifically addresses the lag-vs-smoothness tradeoff.
Settings:
T3 Length (13): Smoothing period
T3 Factor (0.3): Volume factor for T3 algorithm
Percent Squeeze (0.2): Sensitivity adjustment
Technical Note: T3 is superior to simple EMA smoothing because it applies the generalized DEMA formula recursively, reducing lag while maintaining smooth output.
4. VIISTOP (ATR-BASED TREND FILTER)
Method: Simple trend detection using price position vs smoothed baseline with ATR confirmation
Calculation:
Baseline = SMA(close, 16)
ATR = ATR(16)
Uptrend: Close > Baseline
Downtrend: Close < Baseline
Logic: The simplest component—pure price position relative to medium-term average. While basic, it provides a "sanity check" against over-optimized indicators.
Why it works: Sometimes the simplest approach is most robust. In strong trends, price consistently stays above/below its moving average. This indicator prevents the system from over-complicating obvious directional moves.
Settings:
Length (16): Baseline period
Multiplier (2.8): ATR scaling (not actively used in vote logic)
Purpose in Ensemble: Provides grounding in basic trend logic. Complex indicators can sometimes generate counterintuitive signals; ViiStop ensures the system stays aligned with fundamental price positioning.
5. NORMALIZED KAMA OSCILLATOR (ADAPTIVE EFFICIENCY-BASED TREND)
Method: Kaufman Adaptive Moving Average normalized to oscillator format
Calculation:
Efficiency Ratio = |Close - Close | / Sum(|Close - Close |, 8)
Smoothing Constant = ER × (Fast SC - Slow SC) + Slow SC
KAMA = Adaptive moving average using dynamic smoothing
Normalized = (KAMA - Lowest) / (Highest - Lowest) - 0.5
Logic: KAMA adjusts its smoothing speed based on market efficiency. In trending markets (high efficiency), it speeds up. In ranging markets (low efficiency), it slows down. Normalization converts absolute values to -0.5/+0.5 oscillator for consistent voting.
Why it works: Fixed-period moving averages perform poorly across varying market conditions. KAMA's adaptive nature makes it effective in both trending and choppy environments by automatically adjusting its responsiveness.
Settings:
Fast Period (9): Maximum responsiveness
Slow Period (21): Minimum responsiveness
ER Period (8): Efficiency calculation window
Normalization Lookback (35): Oscillator scaling period
Mathematical Significance: Kaufman's algorithm is one of the most sophisticated adaptive smoothing methods in technical analysis. The Efficiency Ratio mathematically quantifies trend strength vs noise.
6. LÉVY FLIGHT RSI (HEAVY-TAILED MOMENTUM)
Method: Modified RSI using Lévy distribution weighting for gains/losses
Calculation:
Weighted Gain = (Max(Price Change, 0))^Alpha
Weighted Loss = (-Min(Price Change, 0))^Alpha
RSI = 100 - (100 / (1 + RMA(Gain) / RMA(Loss)))
Centered RSI = RSI - 50
Logic: Standard RSI treats all price changes linearly. Lévy Flight RSI applies power-law weighting (Alpha = 1.5) to emphasize larger moves, modeling heavy-tailed distributions observed in real market data.
Why it works: Market returns exhibit "fat tails"—large moves occur more frequently than normal distribution predicts. Lévy distributions (Alpha between 1-2) better model this behavior. By weighting larger price changes more heavily, this RSI variant becomes more sensitive to genuine momentum shifts while filtering small noise.
Settings:
RSI Length (14): Standard period
Alpha (1.5): Lévy exponent (1=linear, 2=quadratic)
MA Length (12): Final smoothing
Originality: Standard RSI uses unweighted gains/losses. This implementation applies stochastic process theory (Lévy flights) from quantitative finance to create a momentum indicator more aligned with actual market behavior.
Mathematical Background: Lévy flights describe random walks with heavy-tailed step distributions, observed in financial markets, animal foraging patterns, and human mobility. Alpha=1.5 balances between normal distribution (Alpha=2) and Cauchy distribution (Alpha=1).
7. REGULARIZED-MA OSCILLATOR (Z-SCORED TREND DEVIATION)
Method: Moving average converted to z-score oscillator
Calculation:
MA = EMA(close, 19)
Mean = SMA(MA, 30)
Std Dev = Standard Deviation(MA, 30)
Z-Score = (MA - Mean) / Std Dev
Logic: Converts absolute MA values to statistical standard deviations from mean. Positive z-score = MA above its typical range (bullish), negative = below range (bearish).
Why it works: Raw moving averages don't indicate strength—a 50-day MA at $50k vs $60k has no contextual meaning. Z-scoring normalizes this to "how unusual is current MA level?" This makes signals comparable across different price levels and time periods.
Settings:
Length (19): Base MA period
Regularization Length (30): Statistical normalization window
Statistical Significance: Z-scores are standard in quantitative analysis. This indicator asks: "Is the current trend statistically significant or just random noise?"
AGGREGATION METHODOLOGY
Voting System:
Each indicator returns: +1 (bullish), -1 (bearish), or 0 (neutral)
Total Score = Sum of all 7 votes (-7 to +7)
Average Score = Total / 7 (-1.00 to +1.00)
Signal Generation:
Long Signal: Average > 0 (majority bullish)
Short Signal: Average < 0 (majority bearish)
Neutral: Average = 0 (perfect split or all neutral)
Why Equal Weighting:
Each indicator represents a fundamentally different analytical approach:
Volatility-adjusted (RMA, ViiStop)
Momentum-based (Boosted MA, Lévy RSI)
Adaptive smoothing (KAMA)
Statistical (MA Oscillator)
Noise-filtered (Heikin Ashi T3)
Equal weighting ensures no single methodology dominates. This diversification reduces bias and improves robustness across market conditions.
ORIGINALITY - WHY THIS COMBINATION WORKS
Traditional Multi-Indicator Approaches:
Combine similar indicators (multiple MAs, multiple oscillators)
Use arbitrary thresholds for each indicator
Don't normalize signals (hard to compare RSI to MACD)
Often just "if RSI > 70 AND MACD > 0 = buy"
AlphaTrend MTPI Innovations:
Methodological Diversity: Includes volatility-adaptive (RMA), momentum-enhanced (Boosted MA), efficiency-based (KAMA), heavy-tailed statistics (Lévy RSI), and smoothed candles (HA). No redundant indicators.
Binary Voting: Each indicator reduces to simple +1/-1/0 vote, making aggregation transparent and preventing any indicator from overwhelming the consensus.
Medium-Term Optimization: Parameter choices (12-36 period averages) specifically target multi-day to multi-week trends, not scalping or long-term positioning.
Advanced Mathematics: Incorporates Tillson T3, Kaufman Efficiency Ratio, Lévy distributions, and statistical z-scoring—not just basic MAs and RSIs.
No Overfit Risk: With 7 diverse components voting equally, the system can't overfit to any specific market regime. If trending markets favor KAMA, but choppy markets favor Boosted MA, the ensemble stays robust.
Why 7 Indicators, Not 3 or 10:
Fewer than 5: Insufficient diversification, single indicator failures impact results heavily
More than 9: Diminishing returns, redundancy increases, computational load grows
7 provides: Odd number (no ties), sufficient diversity, manageable complexity
VISUAL COMPONENTS
1. Bar Coloring:
Cyan bars: Bullish consensus (average score > 0)
Magenta bars: Bearish consensus (average score < 0)
No color: Neutral (score = 0 or date filter disabled)
2. MTPI Summary Table (Bottom Center):
MTPI Signal: Current directional bias (LONG/SHORT/NEUTRAL)
Average Score: Precise consensus reading (-1.00 to +1.00)
3. Indicator Status Table (Bottom Right):
Shows all 7 individual indicator scores
Score column: +1 (bullish), -1 (bearish), 0 (neutral)
Signal column: Text interpretation of each vote
Color-coded cells: Cyan (long), Magenta (short), Gray (neutral)
HOW TO USE
For Swing Trading (Recommended - Days to Weeks):
Entry Signals:
Strong Long: 5+ indicators bullish (score ≥ 0.71)
Standard Long: 4+ indicators bullish (score ≥ 0.57)
Weak Long: Simple majority (score > 0) — use with caution
Exit Signals:
Hard Stop: Score flips negative (consensus reverses)
Partial Take Profit: Score drops to +0.30 or below (weakening)
Trailing Stop: Use ATR-based stop below entry
Position Sizing:
Strong signals (|score| > 0.7): Full position
Moderate signals (0.4-0.7): 50-75% position
Weak signals (< 0.4): 25-50% or skip
For Trend Confirmation:
Use alongside your primary strategy for confluence
Only take trades when AlphaTrend agrees with your analysis
Avoid counter-trend trades when score is extreme (|score| > 0.7)
Best Timeframes:
4H: Primary timeframe for swing trading
1D: Position trading and major trend identification
1H: Active trading (shorter hold periods)
< 1H: Not recommended (designed for medium-term)
Market Conditions:
Trending markets: System excels (consensus emerges quickly)
Ranging markets: Expect mixed signals (score oscillates near zero)
High volatility: RMA and ViiStop provide stabilization
Low volatility: KAMA and Boosted MA maintain responsiveness
SETTINGS EXPLAINED
General Settings:
Use Date Filter: Enable/disable historical backtesting range
Start Date: When to begin signal generation (default: Jan 1, 2018)
Flxwrt RMA Settings:
RMA Length (12): Base trend smoothing
ATR Length (20): Volatility measurement period
Source: Price input (default: close)
Boosted MA Settings:
Length (36): Base EMA period
Boost Factor (1.3): Momentum amplification
Source: Price input
Heikin Ashi Settings:
Percent Squeeze (0.2): Sensitivity adjustment
T3 Factor (0.3): Tillson volume factor
T3 Length (13): Smoothing period
ViiStop Settings:
Length (16): Baseline period
Multiplier (2.8): ATR scaling
Source: Price input
KAMA Settings:
Fast Period (9): Maximum responsiveness
Slow Period (21): Minimum responsiveness
ER Period (8): Efficiency calculation
Normalization Lookback (35): Oscillator scaling
Levy RSI Settings:
RSI Length (14): Standard period
Alpha (1.5): Lévy exponent (power-law weighting)
MA Length (12): Final smoothing
Source: Price input
MA Oscillator Settings:
Length (19): Base MA period
Regularize Length (30): Z-score normalization window
PERFORMANCE CHARACTERISTICS
Strengths:
✅ Reduced whipsaws vs single indicators
✅ Works across varying market conditions (adaptive components)
✅ Transparent methodology (see every vote)
✅ Customizable to trading style via timeframe selection
✅ No curve-fitting (equal weighting, no optimization)
Limitations:
⚠️ Medium-term focus (not for scalping or very long-term)
⚠️ Lagging by design (consensus requires confirmation)
⚠️ Less effective in violent reversals (momentum carries votes)
⚠️ Requires clean price data (gaps/thin volume can distort)
ALERTS & AUTOMATION
No built-in alerts in current version (visual-only indicator). Users can create custom alerts based on:
Bar color changes (cyan to magenta or vice versa)
Average score crossing above/below thresholds
Specific indicator status changes in the table
BEST PRACTICES
Risk Management:
Never risk more than 1-2% per trade regardless of score
Use stop losses (ATR-based recommended)
Scale positions based on signal strength
Don't average down on losing positions
Combining with Other Analysis:
✅ Support/Resistance levels for entries
✅ Volume confirmation (accumulation/distribution)
✅ Market structure (higher highs/lower lows)
✅ Volatility regimes (adjust position size)
❌ Don't combine with redundant trend indicators (adds no value)
❌ Don't override strong consensus with gut feeling
❌ Don't use on news-driven spikes (wait for stabilization)
Backtesting Notes:
Use "Date Filter" to test specific periods
Forward-test before live deployment
Remember: consensus systems perform best in trending markets, expect reduced edge in ranges
IMPORTANT NOTES
Not a standalone strategy - Use with proper risk management
Requires clean data - Works best on liquid markets with tight spreads
Medium-term by design - Don't expect scalping signals
No magic - No indicator predicts the future; this shows current trend probability
Diversification within - The 7-component ensemble IS the diversification strategy
Not financial advice. This indicator identifies medium-term trend probability based on multi-component consensus. Past performance does not guarantee future results. Always use proper risk management and position sizing.
SMMA Strategy [SMMA ULTIMATE]SMMA 21/50/200 + RSI — M5/M15 (Rule-marked entries & exits)
Release Notes (EN)
Version: 1.0 (Pine v6 — Indicator)
Date: 14 Oct 2025
Type: Multi-TF overlay indicator with rule-based entry/exit markers and optional runtime alerts
🚀 Summary
A disciplined multi-timeframe scanner for M5 and M15 that highlights rule-driven setups (R1…R4) around SMMA 21/50/200, RSI (buy > 52 / sell < 48), directional VWAP, volume, and ATR activity.
It also simulates ATR-based TP/SL/Break-Even to provide immediate visual feedback and tags each trade idea with the origin rule.
✨ Highlights
• Full MTF stack (M5 & M15) with dedicated series (price, volume, SMMA, ATR, VWAP, RSI) and lookahead_off to avoid repaint.
• 4 modular entry rules (enable/disable independently):
◦ R1: Price crosses the max/min of SMMA(21/50/200) + RSI filter + market OK.
◦ R2: Touch of SMMA21 (pullback) + trend alignment + RSI + market OK.
◦ R3: Three candles impulse + engulfing reversal + RSI + market OK.
◦ R4: SMMA21/SMMA50 cross (structural momentum) + market OK.
• Stackable filters (toggle): Trend (price vs SMMA200), Directional VWAP (price vs VWAP + slope), Volume (Vol > MA×k), ATR activity (ATR > MA(ATR,20)×k).
• RSI thresholds: BUY if RSI > 52, SELL if RSI < 48 (per TF).
• ATR exit simulation: SL = k×ATR, TP = k×ATR, Break-Even armed after ATR gain (return to entry → BE exit).
• Clear rule tags: Entry/exit markers carry R1…R4 for immediate provenance.
• Optional runtime alerts: Human-readable messages on entries and exits, per TF and rule.
🔧 Key Inputs
General
• Price source for display: chart candles / force regular / force Heikin Ashi.
• Lengths: SMMA 21/50/200, RSI (14), ATR (14), Volume MA (20).
• RSI thresholds: Buy > 52, Sell < 48.
Filters (on/off)
• Trend (price vs SMMA200).
• Directional VWAP (price relative to VWAP and VWAP slope).
• ATR activity gate.
• Volume gate (Volume > MA×multiplier).
Rules (on/off)
• Enable R1/R2/R3/R4 individually.
Exit simulation
• Use ATR stops (SL/TP multipliers).
• Break-Even (armed by ATR progress).
Alerts
• Enable runtime alerts to fire alert() at bar close.
🧠 Rule Logic (condensed)
• R1 BUY/SELL: Cross of max/min(SMMA21,50,200) + RSI gate + all selected filters OK.
• R2 BUY/SELL: Touch of SMMA21 + price aligned vs SMMA50/200 + RSI + filters OK.
• R3 BUY/SELL: Three consecutive bars in one direction + engulfing opposite + RSI + filters OK.
• R4 BUY/SELL: SMMA21/SMMA50 crossover + filters OK.
Entry priority per TF: R1 > R4 > R2 > R3.
🔔 Runtime Alerts
When enabled, the script emits close-of-bar alerts with TF and rule tag:
• 🚀 M5/M15 ENTRY LONG (R#)
• 🔻 M5/M15 ENTRY SHORT (R#)
• ✅ M5/M15 EXIT TP (R#)
• ❌ M5/M15 EXIT SL (R#)
• 🟨 M5/M15 EXIT BE (R#)
(You can still build custom UI alerts if you need additional combinations.)
🖼 Visuals
• SMMA 21/50/200 and VWAP (green when price above, red below).
• Plotshape per rule and exit type (TP/SL/BE) with R1…R4 tags on M5 and M15.
• Optional Heikin Ashi for display (core MTF calculations remain consistent).
🔒 Robustness & No-Repaint Notes
• All MTF request.security calls use lookahead_off.
• Pattern logic (three bars, engulfing) is evaluated on bar close.
• ATR/TP/SL/BE are indicator-level simulations using the chart’s H/L/Close (standard intrabar limitations).
⚠️ Limitations & Tips
• This is an indicator, not a strategy: no orders are sent; exits are simulated for visualization.
• Signals are generated on bar close.
• MTF signals synchronize to the chart TF’s close, not intrabar ticks.
AlphaBTC - Long Term Trend Probability Indicator on BitcoinWHAT IS ALPHABTC?
AlphaBTC is a consensus-based long-term trend probability indicator designed specifically for Bitcoin and cryptocurrency markets. It combines 9 independent trend detection methodologies into a single probabilistic score ranging from -1 (strong bearish) to +1 (strong bullish). Unlike single-indicator systems that can produce frequent false signals, AlphaBTC requires agreement across multiple analytical frameworks before generating directional signals.
METHODOLOGY - THE 9-INDICATOR CONSENSUS MODEL
Each indicator analyzes trend from a different mathematical perspective, providing a binary vote: +1 (bullish), -1 (bearish), or 0 (neutral). The average of all 9 votes creates the final probability score.
1. AADTREND (Average Absolute Deviation Trend)
Method: Calculates average absolute deviation from a moving average using 7 different MA types (SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA)
Logic: Price crossovers above/below AAD-adjusted bands signal trend changes
Purpose: Adapts to varying market volatility conditions
2. GAUSSIAN SMOOTH TREND (GST)
Method: Multi-stage smoothing using DEMA → Gaussian Filter → SMMA → Standard Deviation bands
Logic: Long when price > (SMMA + SDmultiplier), Short when price < (SMMA - SDmultiplier)
Purpose: Removes high-frequency noise while preserving trend structure
3. RTI (RELATIVE TREND INDEX)
Method: Percentile-based ranking system comparing current price to historical upper/lower trend boundaries
Logic: Generates 0-100 index score; >80 = bullish, <20 = bearish
Purpose: Identifies price position within statistical distribution
4. HIGHEST-LOWEST DEVIATIONS TREND
Method: Dual moving average system (100/50 periods) with dynamic standard deviation bands
Logic: Compares highest and lowest boundaries from both MAs to determine trend extremes
Purpose: Identifies breakouts from multi-timeframe volatility envelopes
5. 25-75 PERCENTILE SUPERTREND
Method: Modified SuperTrend using 25th and 75th percentile bands instead of simple highs/lows
Logic: ATR-based trailing stop system anchored to percentile boundaries
Purpose: More stable trend following by filtering outlier price spikes
6. TS VOLATILITY-ADJUSTED EWMA
Method: Exponentially Weighted Moving Average with dynamic period adjustment based on ATR
Logic: Speeds up during high volatility, slows during low volatility
Purpose: Adaptive responsiveness to changing market conditions
7. NORMALIZED KAMA OSCILLATOR
Method: Kaufman Adaptive Moving Average normalized to 0-centered oscillator
Logic: Uses Efficiency Ratio to adjust smoothing constant; >0 = bullish, <0 = bearish
Purpose: Adapts to both trending and ranging markets automatically
8. EHLERS MESA ADAPTIVE MOVING AVERAGE (EMAMA)
Method: John Ehlers' MAMA/FAMA system using Hilbert Transform for cycle period detection
Logic: MAMA crossover FAMA = bullish, crossunder = bearish
Purpose: Advanced DSP-based trend detection with phase-based adaptation
9. EMA Z-SCORE
Method: Statistical z-score applied to EMA values over lookback period
Logic: >1.0 standard deviation = bullish, <0.0 = bearish
Purpose: Identifies statistically significant trend deviations
AGGREGATION METHODOLOGY
Scoring System:
Each indicator produces: +1 (bullish), -1 (bearish), or 0 (neutral)
Total score = sum of all 9 indicators (-9 to +9)
Average score = total / 9 (displayed as -1.00 to +1.00)
Signal Interpretation:
+0.50 to +1.00: STRONG BULLISH (majority consensus)
+0.30 to +0.50: MODERATE BULLISH
-0.30 to +0.30: WEAK/NEUTRAL (mixed signals)
-0.50 to -0.30: MODERATE BEARISH
-1.00 to -0.50: STRONG BEARISH (majority consensus)
Bar Coloring:
Cyan bars: Bullish consensus (score > 0)
Magenta bars: Bearish consensus (score < 0)
WHY THIS APPROACH WORKS
Traditional Single-Indicator Problems:
Overfitting to specific market conditions
High false signal rates during consolidation
No mechanism for confidence measurement
AlphaBTC Multi-Consensus Solution:
Diversification: 9 uncorrelated methodologies reduce individual indicator bias
Robustness: Requires majority agreement before signaling (prevents whipsaws)
Adaptability: Mix of momentum, volatility, and statistical indicators captures multiple market regimes
Confidence Measurement: Score magnitude indicates signal strength
Why These 9 Specific Indicators:
AADTrend - Volatility adaptation
GST - Noise filtering
RTI - Statistical positioning
HL Deviations - Multi-timeframe breakouts
Percentile ST - Robust trend following
Volatility EWMA - Dynamic responsiveness
KAMA - Efficiency-based adaptation
EMAMA - Cycle-period awareness
EMA Z-Score - Statistical confirmation
This combination covers:
Trend following (ST, EWMA, KAMA, EMAMA)
Volatility adaptation (AAD, GST, HL Dev, EWMA)
Statistical validation (RTI, Z-Score)
Adaptive smoothing (KAMA, EMAMA, Gaussian)
No single indicator covers all these bases. The ensemble approach creates a more reliable system.
VISUAL COMPONENTS
1. Score Table (Bottom Right):
Shows all 9 individual indicator scores
Color-coded: Green (bullish), Red (bearish), Gray (neutral)
Individual signals visible for transparency
2. Main Score Display (Bottom Center):
LTPI SCORE: The averaged consensus (-1.00 to +1.00)
SIGNAL: Current directional bias (LONG/SHORT)
STRENGTH: Signal confidence (STRONG/MODERATE/WEAK)
3. Bar Coloring:
Visual trend indication directly on price bars
Cyan = bullish consensus
Magenta = bearish consensus
HOW TO USE
For Long-Term Position Trading (Recommended):
Wait for average score to cross above 0 for long entries
Exit when score crosses below 0 or reverses to negative territory
Use STRENGTH indicator - only trade STRONG or MODERATE signals
For Trend Confirmation:
Use AlphaBTC as confluence with your existing strategy
Enter trades only when AlphaBTC agrees with your analysis
Avoid counter-trend trades when consensus is strong (|score| > 0.5)
Risk Management:
STRONG signals (|score| > 0.5): Full position size
MODERATE signals (0.3-0.5): Reduced position size
WEAK signals (< 0.3): Avoid trading or use for exits only
Best Timeframes:
1D chart: Primary trend identification for swing/position trading
4H chart: Intermediate trend for multi-day holds
1H chart: Short-term trend for active trading
Not Recommended:
Scalping (too many indicators create lag)
Timeframes < 1H (designed for longer-term trends)
SETTINGS EXPLAINED
Each of the 9 indicators has customizable parameters in its dedicated settings group:
AadTrend Settings:
Average Length (48): Base period for deviation calculation
AAD Multiplier (1.35): Band width adjustment
Average Type: Choose from 7 different MA types
GST Settings:
DEMA Length (9), Gaussian Length (4), SMMA Length (13)
SD Length (66): Standard deviation lookback
Multipliers for upper/lower bands
RTI Settings:
Trend Length (75): Historical data points for boundary calculation
Sensitivity (88%): Percentile threshold
Long/Short Thresholds (80/20): Entry trigger levels
HL Deviations Settings:
Dual MA system (100/50 periods)
Separate deviation coefficients for upper/lower bands
25-75 Percentile ST Settings:
SuperTrend Length (100)
Multiplier (2.35)
Percentile Length (50)
EWMA Settings:
Length (81), ATR Lookback (14)
Volatility Factor (1.0) for dynamic adjustment
KAMA Settings:
Fast/Slow Periods (50/100)
Efficiency Ratio Period (8)
Normalization Lookback (53)
EMAMA Settings:
Fast/Slow Limits (0.08/0.01) for cycle adaptation
EMA Z-Score Settings:
EMA Length (50)
Lookback Period (25)
Threshold levels for long/short signals
ALERTS
Four alert conditions available:
LTPI Long Signal: When average score crosses above 0
LTPI Short Signal: When average score crosses below 0
LTPI Long: Any bar with bullish consensus
LTPI Short: Any bar with bearish consensus
IMPORTANT NOTES
This is a CONSENSUS indicator - it shows probability, not prediction
Designed for Bitcoin
Best for long-term trend identification (days to weeks, not minutes to hours)
Lagging by design - prioritizes accuracy over speed
Not a standalone strategy - use with proper risk management and position sizing
Requires minimum 100+ bars of historical data for proper indicator calculation
AlphaRank - Relative Strength Portfolio StrategyWHAT IS ALPHARANK?
AlphaRank is a multi-asset relative strength portfolio system that identifies the strongest performing assets within a customizable universe of 10 instruments through pairwise comparison analysis. Unlike traditional relative strength indicators that simply compare price ratios, AlphaRank employs a tournament-style evaluation system using 7 distinct technical indicators to determine true relative strength.
METHODOLOGY - HOW IT WORKS
Core Concept: Pairwise Tournament Analysis
AlphaRank compares every asset against every other asset in your universe (45 unique pairs for 10 assets). For each pair, the system evaluates relative strength using 7 independent indicators:
- RSI (35-period) - Momentum comparison
- Rate of Change (31-period) - Price velocity analysis
- Z-Score (44-period) - Statistical deviation from mean
- Omega Ratio (30-period, smoothed) - Risk-adjusted returns using imported ratio library
- Linear Regression ROC (30-period linreg, 14-period ROC) - Trend strength and acceleration
- Kijun Sen Base (44-period SMA) - Ichimoku-style baseline comparison
- RSI ROC (45-period RSI, 15-period ROC) - Momentum acceleration
Scoring System:
For each pairwise comparison (e.g., ETH vs SOL), the system calculates all 7 indicators on the price ratio (ETH/SOL). Each indicator returns a binary signal (1 or 0). These are summed to create a pair score from 0-7.
If pair score > 3: The numerator asset (ETH) is considered relatively stronger
If pair score ≤ 3: The denominator asset (SOL) is considered relatively stronger
This creates a decisive winner for each pair (no neutral outcomes due to the odd number of indicators).
Final Ranking:
Each asset accumulates points for every pairwise comparison it wins. With 10 assets, each asset faces 9 competitors. Final scores range from 0 (lost all comparisons) to 9 (won all comparisons).
ORIGINALITY - WHY THIS IS DIFFERENT
Traditional Relative Strength:
- Compares assets to a benchmark (like SPY)
- Uses single indicator (usually RSI or price ratio)
- Binary strong/weak classification
AlphaRank Approach:
- Round-robin tournament: every asset vs every other asset
- Multi-indicator consensus (7 indicators, not 1)
- Granular ranking from 0-9 showing exact relative positioning
- Real-time tournament matrix visualization showing all head-to-head results
- Integrated backtesting with position sizing
Key Innovation: By using 7 uncorrelated indicators in a consensus model, AlphaRank reduces false signals from any single indicator's weaknesses. An asset must demonstrate strength across multiple analytical dimensions (momentum, trend, volatility, acceleration) to rank highly.
VISUAL COMPONENTS
Tournament Matrix (Top Right):
Shows every head-to-head matchup
Green dots = asset won that comparison
Red dots = asset lost that comparison
Instantly see which assets dominate across the board
RSPS Score Table (Right side of matrix):
Final relative strength scores (0-9)
Color-coded gradient showing strength hierarchy
Top Assets Table (Bottom Center):
Displays your top N ranked assets
Updates dynamically as rankings change
Equity Curve (Main Chart):
Shows backtested portfolio performance
Compares system returns vs buy-and-hold
Performance Metrics (Bottom):
Sharpe ratio, Sortino ratio, Omega ratio
Maximum drawdown
Individual asset and portfolio metrics
HOW TO USE
Setup:
Choose your 10 assets in the settings (crypto, stocks, indices, etc.)
Set your desired number of top assets to hold (default: 2)
Configure backtest start date and leverage
Interpretation:
Score 7-9: Extremely strong relative to peers - high confidence holdings
Score 4-6: Moderate relative strength - proceed with caution
Score 0-3: Weak relative to peers - avoid or consider shorting
Trading Strategy:
The system automatically allocates capital equally among the top-ranked assets and rebalances when rankings change. This creates a rotation strategy that systematically favors the strongest performers.
TECHNICAL SPECIFICATIONS
Timeframe: Works on all timeframes (1H, 4H, 1D recommended for crypto)
Assets: Fully customizable 10-asset universe
Rebalancing: Automatic when rankings change
SETTINGS EXPLAINED
Leverage Amount: Apply leverage to position sizing (1.0 = no leverage)
Startdate: When to begin backtesting calculations
Highlight Top Assets: How many top-ranked assets to hold (2-5 recommended)
Show Combined Matrix: Toggle the tournament visualization
Show Detailed Metrics: Individual asset performance statistics
Show Small Metrics Table: Simplified performance summary
BACKTESTING METHODOLOGY
The indicator includes full backtesting capabilities. It calculates:
Individual Asset Performance: Each asset's returns if held in isolation
Portfolio Performance: Combined returns of top-ranked assets
Buy & Hold Benchmark: Equal-weight portfolio of all 10 assets
Risk Metrics: Sharpe, Sortino, Omega ratios for all strategies
This allows you to validate the relative strength rotation strategy against simple buy-and-hold.
IMPORTANT NOTES
This is a rotation strategy - it does not predict absolute direction, only relative strength
Works best with correlated assets (e.g., all crypto, all tech stocks)
Requires sufficient history for indicator calculations (minimum 60 bars)
Backtesting uses historical data; future performance may differ
Not financial advice - use for educational purposes
Zippo Blaze CryptoZippo Blaze Crypto
An advanced trend-following indicator that analyzes cryptocurrency price movements by integrating them with major pairs (BTC, ETH, BNB, etc.). It combines the price with these pairs and overall market dynamics to create a main line, colors this line based on momentum, and adds user-adjustable EMAs on top. This provides a balanced trend analysis by considering connections in the crypto market. It only works for cryptocurrencies; it shows no data for other assets (e.g., Borsa Istanbul stocks).
How It Works?
This system operates using a special method that combines crypto prices with major pairs (like BTC, ETH, BNB) and the price itself:
- Price Movement Line: The main line created by normalizing the crypto price with pairs and market data – it shows movement with major coins, but moves in tandem with the price (the line rises when the price rises, falls when it falls) and synchronizes with pairs.
-- Coloring: Determined based on momentum:
🟢 Green: Upward momentum – upward price movement expected.
🔴 Red: Downward momentum – downward price movement expected.
🔵 Blue: Neutral zone – horizontal movement or uncertainty period.
-- EMAs: Moving averages added on top of the main line (EMA 20, 50, 100, 200). Periods can be changed by the user; other calculations are fixed.
This method strengthens signals by utilizing the interconnected structure of the market and reduces optimization risk.
Key Features:
Pair Integration: Integrates price movement with major pairs like BTC, ETH, BNB, providing a connected view instead of an isolated analysis.
Momentum Coloring: Colors the line for quick trend detection – green and red zones give clear signals.
Verification Tools: EMAs verify the direction of the main line; for example, EMAs turning upward can be used as a long signal, downward as a short signal.
Price Action Levels: When viewed on larger time frames (daily, weekly), important support/resistance levels (PA levels) become more apparent.
Crypto-Focused: Only activates on crypto symbols; remains blank in other markets.
How to Use?
-- Price Movement Line: Main trend indicator – moves in sync with pairs, signals long opportunities in uptrends, short in downtrends.
🟢 Green Line: Upward movement expected (evaluate long positions).
🔴 Red Line: Downward movement expected (evaluate short positions).
🔵 Blue Line: Horizontal or neutral period – avoid opening new positions.
- EMAs: Line and EMA crossovers confirm signals; EMAs turning upward can be interpreted as a long signal, downward as short. Monitor PA levels with EMAs on larger periods.
Time Frame and Usage Recommendations
Best results are achieved on hourly and higher time frames (e.g., 1H, 4H, daily), as pair integration and price movement are clearer in these frames.
Signals may weaken in low-liquidity altcoins; ideal for major cryptocurrencies (BTC, ETH, BNB, etc.).
Use EMAs to detect PA levels on larger periods (daily+) – this provides an advantage in long-term trades.
In short time frames, adjust EMA periods for filtering.
Important Warning
This indicator is developed for technical analysis purposes and does not contain investment advice. Market conditions can change rapidly; even pair integration cannot provide full protection against instant fluctuations. Make all your investment decisions based on your own research, risk management strategies, and professional advice.
Supertrend + RSI + StochasticSuperTrend + RSI + Stochastic Entry System
A professional-grade trend-following indicator that combines SuperTrend direction detection with RSI and Stochastic confirmation filters to identify high-probability entry points.
What It Does
This indicator filters SuperTrend signals through multiple confirmation layers to reduce false signals and improve trade quality. Instead of taking every SuperTrend flip, it only signals when momentum indicators confirm the move.
How It Works
Entry Logic:
LONG: SuperTrend flips bullish + RSI above 40 + Stochastic above 30
SHORT: SuperTrend flips bearish + RSI below 60 + Stochastic below 70
The system uses "in-zone" confirmation rather than requiring exact crossovers, allowing for more practical real-time trading.
Key Features
1. RSI Bands (Visual Price Levels)
Converts RSI levels into actual price bands on your chart
Green band = RSI 40 level (long zone)
Red band = RSI 60 level (short zone)
Gray midline = neutral zone (RSI ~50)
2. Background Shading
Subtle green tint = All conditions aligned for long entry
Subtle red tint = All conditions aligned for short entry
Helps you anticipate signals before they trigger
3. Enhanced Signal Labels
Shows exact RSI and Stochastic values at signal trigger
Displays as: "Buy RSI:42 K:35"
Lets you assess signal strength
4. Flexible Filters
Toggle long/short signals independently
Enable/disable RSI filter
Enable/disable Stochastic filter
Show/hide RSI bands
Show/hide setup background shading
Settings
SuperTrend Parameters:
ATR Period (default: 10)
ATR Multiplier (default: 3.0)
Source (default: HL2)
RSI Filter:
RSI Length (default: 14)
Long Level (default: 40)
Short Level (default: 60)
Stochastic Filter:
Stochastic Length (default: 14)
Smoothing (default: 3)
Long Level (default: 30)
Short Level (default: 70)
Best Use Cases
Trending markets with clear directional bias
Medium to longer timeframes (10min+)
Works particularly well for long-only strategies in bullish markets
Ideal for swing trading and position trading
How to Trade
Wait for background to shade (setup building)
When signal appears, check RSI/Stochastic values on label
Stronger values = higher confidence trades
Exit on opposite signal or use your own risk management
Notes
All filters are optional and can be toggled off
Can be used as long-only or short-only by disabling one direction
Combines trend-following with momentum confirmation for higher win rates
Based on proven technical analysis principles
Confirmed Breakout DetectorThis indicator automatically:
Detects breakouts above recent resistance (pivot high).
Confirms volume surge (≥ 1.5× average 50-day volume).
Compares RS line vs QQQ to ensure leadership.
Checks candle strength (close in upper half).
Verifies MACD slope ≥ 0 (no bearish divergence).
Plots green triangles under confirmed buys, orange for watch-list breakouts.
Displays an on-chart label (HUD) with real-time confirmation status.
Supports TradingView alerts, so you can set “Confirmed Buy Alert” → Send Email / App Notification.
Trend Ali📈 Trend Ali - Advanced Hull Moving Average Indicator
🎯 Overview
This indicator is an advanced and highly customizable version of the Hull Moving Average (HMA), designed for precise trend identification and optimal entry/exit point detection in various market conditions.
✨ Key Features
🔄 Three Hull Moving Average Calculation Methods
The indicator offers three distinct calculation approaches to suit different trading styles:
1. HMA (Standard Hull Moving Average)
Ideal for most market conditions
Excellent balance between responsiveness and noise reduction
Uses WMA (Weighted Moving Average) for calculations
Best for general trend following
2. EHMA (Exponential Hull Moving Average)
Faster reaction to price changes
Perfect for volatile markets and quick scalping
Uses EMA instead of WMA for enhanced sensitivity
Recommended for aggressive trading strategies
3. THMA (Triangular Hull Moving Average)
Smoother than the standard version
Reduces false signals significantly
Optimal for higher timeframes and position trading
Provides clearer trend direction
🛠️ Advanced Settings
Length Parameter
This parameter directly affects the indicator's sensitivity and behavior:
55: Perfect for Swing Trading and identifying entry points
Catches medium-term trends
Good balance for 4H to Daily charts
180-200: Ideal for identifying floating Support/Resistance levels
Acts as dynamic S/R zones
Excellent for position trading
Reduces market noise significantly
Shorter Length = Faster response but more noise
Longer Length = Stronger signals but with more lag
Length Multiplier
View higher timeframe trends without changing your chart
Default value of 6.0 provides macro trend analysis
Increasing this value smooths the line further
Useful for multi-timeframe analysis on a single chart
Creates "straight band" effect for clearer trend visualization
Higher Timeframe Analysis
Display Hull MA from any higher timeframe
Extremely useful for scalping while maintaining trend awareness
Default: 240 minutes (4-hour chart)
Helps avoid counter-trend trades
Provides context for lower timeframe decisions
🎨 Intelligent Color System
The indicator automatically adjusts colors based on trend direction:
🟢 Green: Uptrend (price moving above previous levels)
Indicates bullish momentum
Consider long positions
🔴 Red: Downtrend (price moving below previous levels)
Indicates bearish momentum
Consider short positions or exit longs
🟠 Orange: Neutral (when color coding is disabled)
For traders who prefer monochrome display
📊 How to Use
For Swing Trading (Length: 55)
Wait for color change from red to green for long entries
Wait for color change from green to red for short entries or exits
Use price action confirmation at the Hull MA line
The line acts as dynamic support/resistance
For Support/Resistance (Length: 180-200)
The Hull MA acts as a floating S/R zone
Price bouncing off the line indicates strong trend
Price crossing the line signals potential trend reversal
Use for position sizing and stop loss placement
For Scalping (with Higher Timeframe)
Enable "Show Hull MA from X timeframe"
Select 240 (4H) or higher timeframe
Only take trades in direction of higher timeframe trend
Use lower timeframe for precise entries
Higher timeframe Hull MA keeps you on the right side
Multi-Timeframe Strategy
Use Length Multiplier to see macro trend
Keep your chart on preferred timeframe
Align trades with the smoothed trend direction
Enter on pullbacks to the Hull MA line
🔍 Technical Details
Why Hull Moving Average?
Traditional moving averages face a tradeoff between lag and noise. Hull Moving Average solves this by:
Using weighted calculations for faster response
Applying square root of length for optimal smoothing
Eliminating lag while maintaining smoothness
Calculation Method
The indicator uses sophisticated algorithms:
HMA: Combines multiple WMAs with square root period
EHMA: Applies exponential smoothing for speed
THMA: Uses triangular weighting for stability
RSI Source Input
Allows using any price source (Close, Open, HL2, etc.)
Default: Close price
Experiment with different sources for unique insights
⚙️ Recommended Settings
Day Trading
Mode: EHMA
Length: 55
Length Multiplier: 3-4
Color: Enabled
Swing Trading
Mode: HMA
Length: 55
Length Multiplier: 6
Color: Enabled
Position Trading
Mode: THMA
Length: 180-200
Length Multiplier: 8-10
Color: Enabled
Scalping
Mode: HMA or EHMA
Length: 55
Higher Timeframe: Enabled (240 or higher)
Color: Enabled
💡 Pro Tips
Trend Confirmation: Wait for 2-3 candles to confirm color change before entering
Divergence: Watch for price/Hull MA divergence for reversal signals
Volume: Combine with volume analysis for stronger signals
Multiple Instances: Add indicator twice with different settings for multi-timeframe view
Backtesting: Test different Length values for your specific asset and timeframe
Risk Management: Use Hull MA distance for stop loss placement
⚠️ Important Notes
No indicator is 100% accurate - always use risk management
Best used in combination with price action and other technical analysis
Different markets may require different settings
Backtest thoroughly before live trading
Consider market volatility when adjusting parameters
Micro fast trendline [sma] Overview
Micro Fast Trendline is an automated trendline drawing tool that connects pivot points in real-time. It dynamically creates trendlines between consecutive pivot highs and pivot lows, extending them forward to visualize potential support and resistance trajectories.
How It Works
Pivot Detection System
The indicator uses a symmetric pivot detection algorithm:
1. Scans for pivot highs: local peaks with lower highs on both left and right sides
2. Scans for pivot lows: local troughs with higher lows on both left and right sides
3. Confirms pivots only after the specified number of right bars have formed
4. Default settings: 5 bars left + 5 bars right (customizable)
Trendline Construction
When a new pivot is detected:
- **For Pivot Highs**: Draws a descending trendline from the previous pivot high to the current one (bearish)
- **For Pivot Lows**: Draws an ascending trendline from the previous pivot low to the current one (bullish)
- Calculates the slope between the two pivots
- Extends the line forward based on that slope for the specified number of bars (default 30)
Line Management System
The indicator includes intelligent line management:
- **Maximum Lines Control**: Limits the number of displayed trendlines (default 4, max 10)
- **Automatic Cleanup**: Removes oldest lines when the maximum is exceeded
- **Extension Expiry**: Deletes lines after they've extended beyond their lifespan
- Uses arrays to track pivot history and associated trendline objects
Key Features
- **Automatic Drawing**: No manual trendline drawing required
- **Real-time Updates**: Creates new trendlines as pivots form
- **Slope-based Extension**: Projects trendlines forward using calculated slope
- **Memory Management**: Automatically cleans up old lines to prevent clutter
- **Dual Tracking**: Separate systems for bullish and bearish trendlines
- **Optional Pivot Markers**: Can display pivot points for validation
Parameters
Pivot Configuration
- **Left Bars** (default 5): Number of bars to the left of the pivot for confirmation
- **Right Bars** (default 5): Number of bars to the right of the pivot for confirmation
- Higher values = fewer but more significant pivots
Visual Configuration
- Show Pivot Points (default off): Display triangles at confirmed pivots
- Bullish Line Color (default dark green): Color for upward trendlines
- Bearish Line Color (default dark red): Color for downward trendlines
- Line Width (default 1): Thickness of trendlines
- Maximum Lines (default 4, range 1-10): Maximum concurrent trendlines
- Line Extension (default 30 bars, range 10-200): Forward projection length
Interpretation
Bullish Trendlines (Green)
- Connect consecutive pivot lows
- Act as dynamic support levels
- Upward slope indicates strengthening uptrend
- Price breaking below suggests weakening support
Bearish Trendlines (Red)
- Connect consecutive pivot highs
- Act as dynamic resistance levels
- Downward slope indicates strengthening downtrend
- Price breaking above suggests weakening resistance
Trading Applications
- **Breakout Trading**: Watch for price breaking extended trendlines
- **Support/Resistance**: Use as dynamic S/R levels
- **Trend Confirmation**: Slope direction confirms trend strength
- **Reversal Signals**: Multiple trendline breaks may indicate reversals
Technical Implementation
This indicator uses:
- Custom type definition (PivotData) to store pivot price, time, and line object
- Array-based data structure for efficient pivot history management
- Dynamic line objects with calculated slope extension
- Automatic memory cleanup to prevent performance degradation
- Separate processing loops for highs and lows to avoid conflicts
Originality Statement
This indicator features a unique approach to automated trendline creation:
- Implements a custom data structure combining pivot data with line objects
- Uses slope-based mathematical projection for realistic line extensions
- Employs an intelligent cleanup system that removes expired lines automatically
- Maintains separate arrays for bullish/bearish trendlines with independent management
- Projects trendlines forward using calculated slope rather than simple horizontal extension
The combination of pivot detection, slope calculation, and automated line lifecycle management creates a hands-free trendline system.
Best Practices
- Lower pivot bar settings (3-5) for faster, more responsive trendlines
- Higher pivot bar settings (7-15) for major swings and longer-term trends
- Adjust line extension based on your trading timeframe
- Reduce maximum lines on lower timeframes to avoid clutter
- Increase maximum lines on higher timeframes for historical context
Works on all timeframes and asset classes. For educational purposes only. Not financial advice.
Seykota EMA Crossover with ATR Risk Sizing 📈 A Tribute to Ed Seykota’s Timeless Trend-Following and Risk Discipline
Overview
This strategy is inspired by the trading principles of Ed Seykota, one of the most influential trend followers in modern market history.
It combines a classic exponential moving average (EMA) crossover system with ATR-based risk sizing and optional trailing stops, closely modeled on the ideas and system examples Seykota published on his website.
The strategy enters long positions when a short-term EMA crosses above a longer-term EMA (confirming an uptrend), and exits either on a bearish crossover or when price closes below an ATR-based trailing stop.
⚙️ Core Components
1. EMA Trend System
Buy Signal: Fast EMA crosses above Slow EMA → establishes trend direction
Sell Signal: Fast EMA crosses below Slow EMA → trend reverses
Typical defaults:
Fast EMA = 20
Slow EMA = 200
This aligns with Seykota’s timeless philosophy:
“Follow the trend. Ride winners. Cut losses.”
2. ATR Risk Sizing (The 1% Rule)
When the “Enable ATR Position Sizing” box is checked, the system applies Seykota’s version of risk-based position sizing:
Each trade risks a fixed percent of account equity (default = 1%).
Risk per trade = (Account Equity × Risk %) ÷ (ATR × Multiplier).
Stop distance = ATR × Multiplier (default = 5×).
ATR defines volatility — higher volatility leads to smaller positions — keeping risk consistent across changing market conditions.
When the checkbox is off, the strategy uses your default TradingView position sizing (for example, 100% of equity per trade).
3. ATR Trailing Stop (Optional – Not Seykota’s Original Method)
This feature is available in this script, but it is not the exact exit logic Seykota used in his original trading systems.
Seykota’s trend-following systems typically exited trades based on support/resistance breaks or moving average reversals, not a continuously updating volatility-based stop.
He managed trades using trend structure and long-term signals, rather than a mechanical trailing formula.
However, the ATR trailing stop is included here as a modern optional enhancement for users who prefer smoother, automatic exits.
When enabled, the stop automatically trails the price according to:
Stop = Close – (ATR × Multiplier)
As price rises, the stop ratchets upward — locking in gains while giving the trade enough room to breathe.
This reflects Seykota’s broader risk principle:
“The elements of good trading are: (1) cutting losses, (2) cutting losses, and (3) cutting losses.”
While practical and popular today, this ATR-based trailing stop was not part of Seykota’s original mechanical systems.
If you prefer to stay closer to his authentic approach, you can simply disable this option and rely on EMA crossovers (or a longer-term filter) for exits.
4. About Dynamic Risk Scaling
Seykota practiced what he called dynamic risk control or “heat management” — adjusting exposure based on portfolio equity and drawdown:
New equity highs → full risk (e.g., 1%)
10% drawdown → reduce exposure (e.g., 0.9%)
25% drawdown → reduce further (e.g., 0.75%)
Never below a “heat floor” (e.g., 0.25%)
However, TradingView cannot dynamically resize open positions based on drawdown. This feature does not affect open trades or past results.
Therefore, this script focuses on ATR-based risk sizing only.
Dynamic risk scaling should be calculated externally, before placing trades.
I’ll soon publish a simple calculator (Google Sheets or web tool) that automatically computes the adjusted risk percentage and position size based on your account equity and drawdown level — so you can apply Seykota’s true “heat control” method in your portfolio tracking.
🧭 How to Use This Strategy
Apply to any trending instrument (e.g., QQQ, SPY, CL1!, GC1!, BTCUSD).
Set your preferred parameters:
Fast EMA = 20
Slow EMA = 200
ATR Period = 20
ATR Multiplier = 5
Check “Enable ATR Position Sizing” to use the 1% risk rule.
Optionally enable “Use ATR Trailing Stop Exit” for automatic volatility-based exits.
Run the backtest and fine-tune parameters for your instrument and timeframe.
🏁 Philosophy
This strategy captures the essence of Seykota’s trading wisdom:
“The trend is your friend — until the end, when it bends.”
It’s not about prediction — it’s about process, discipline, and letting winners run while controlling risk.
ATR sizing and optional trailing stops simply automate the timeless rules that made Seykota a legend.
TrendViz - Smart Money ConceptsTrendViz – Smart Money Concepts
See structure, liquidity, and institutional footprints in real time.
Overview
Trend Viz – Smart Money Concepts is a comprehensive SMC toolkit that fuses market-structure (BOS / CHoCH), volumetric order blocks, fair-value gaps (FVG / Breakers), Swing Failure Patterns (SFP), equal highs / lows, and liquidity zones into one clean, on-chart visualization.
It’s designed for intraday precision (0DTE / indices) and swing confluence, with windowed processing for performance on large histories.
Key Capabilities
Market Structure Engine – Detects BOS / CHoCH with adjustable swing length, “Extreme vs Adjusted Points” logic, optional trend-based candle coloring, sweep marks, and labeled lines / bubbles.
Volumetric Order Blocks – Builds bullish / bearish OBs (including breaker blocks), mitigation methods (Close / Wick / Avg), overlap control, mid-line, and activity split (buy vs sell) with per-OB volume metrics.
Fair Value Gaps (FVG & Breakers) – Auto-detects FVGs, mitigations, optional extension, mid-lines, overlap filtering, and raid marking.
Swing Failure Pattern (SFP) – Volume-aware SFPs, directional filters (Trend-Following / Counter-Trade), deviation projections (levels + optional fill).
Equal Highs / Lows & Liquidity Concepts – Marks EQH / EQL across multiple horizons, buyside / sellside zones (area or line), liquidity prints on candles, and sweep zones after BOS / CHoCH.
Performance-First Design – Window size limits structure computations; configurable max objects; overlap suppression reduces clutter.
Inputs & Settings
Market Structure – Window size, Swing limit, Candle coloring, Text size, Algorithmic mode, Swing length, Strong/Weak HL, Sweeps, Bubbles, Mapping.
Volumetric Order Blocks – Show Last N blocks, Breakers, Construction mode, ATR length, Mitigation method, Metrics + Mid-line, Hide Overlap.
Fair Value Gap / Breakers – Enable mode, Show Last N, Threshold, Mid-line + Extension, Hide Overlap, Raid Display.
Swing Failure Pattern (SFP) – Count, Deviation Area, Colors, Filtering mode (Trend / Counter), Volume threshold, Label size.
Liquidity Concepts – Equal H&L scope, Liquidity prints, Buyside/Sellside zones (area or line), Sweep Area threshold.
How to Use It
Quick Start
Add the indicator to your chart → leave defaults.
For 0DTE / intraday use 1 – 5 min timeframes; for swing use 1H – 4H.
Turn on Color Candles to see bullish / bearish bias.
Enable Order Blocks (Show Last 5 – 10) and FVG (3 – 5) with Mitigation = Wick.
Activate SFP with Volume Threshold ≈ 0.5 – 1.0 and Trend-Following filter.
Core Workflows
Trend-Continuation Entry – Wait for CHoCH → BOS alignment → FVG mitigation or OB mid-line retest.
Reversal Entry – Opposing CHoCH + sweep (x) + fresh OB confirmation.
Liquidity Sweep Fade – Raid EQH/EQL + SFP (Counter-Trade) → target prior FVG or opposite OB.
0DTE / Index Checklist
Timeframe 1–5 min · Adjusted Points · mslen = 3–5.
OB Show Last = 5–10 · Mitigation = Wick · Hide Overlap = Recent.
FVG Show = 3–5 · Threshold = 0.1–0.3.
SFP Trend-Following for momentum, Counter-Trade for range.
Trade only after CHoCH → BOS alignment near OB / FVG.
Tips & Behavior
Confirmation / Repainting – Structure anchors confirm after right bars; no repaint once locked.
Performance – Reduce Window size, counts, and overlaps for speed.
Clutter Control – Hide Overlap, limit count, prefer mid-lines over fills.
Mitigation Choice – Wick (strict), Close (lenient), Avg (balanced).
Alerts – Not included by default (visual tool only).
Example Setups
Momentum Pullback – After BOS up, FVG fill + OB reclaim = entry.
Liquidity Sweep Fade – EQH raid + bear SFP = fade to prior FVG.
Breaker Flip – Mitigated OB turns breaker; trade retest.
Disclaimer
This indicator is for educational and analytical purposes only.
Not financial advice. Backtest and apply proper risk management before using live.
Tags
#SmartMoneyConcepts #OrderBlocks #BOS #CHoCH #FVG #Breakers #SFP #Liquidity #EQH #EQL #0DTE #SPX #MarketStructure #TrendViz #TradingView
ZarzaZarza All-in-One Indicator for God’s Kingdom
“But remember the Lord your God, for it is He who gives you the power to get wealth, that He may establish His covenant.” — Deuteronomy 8:18
The Zarza All-in-One Indicator is more than a trading tool — it’s a divinely inspired system designed to help Kingdom traders operate with clarity, discipline, and spiritual alignment in the markets.
Built to detect momentum shifts, liquidity zones, reversals, and smart-money movements, this indicator brings together the best of technical precision and prophetic purpose.
This isn’t just about charts — it’s about stewardship.
Every trade is an act of faith and discernment, partnering with Heaven’s wisdom to prepare for the great wealth transfer that will fund God’s Kingdom projects and reach souls across the nations.
VMS Momentum Trend Matrix Indicator [09.00 to 23.30]VMS Momentum Trend Matrix Indicator - Detailed Explanation
🎯 Overview & Core Philosophy
This is a multi-dimensional trading and a multi-confirmation system that combines 4 independent analytical approaches into one unified framework. The indicator operates on the principle of "consensus trading" - where signals are only considered reliable when multiple systems confirm each other. The system is designed for 9:00 AM to 23:30 PM trading sessions (Indian Market) with dynamic support/resistance levels.
Five Pillars of Analysis:
1. Trend Matrix – Multiple indicator voting system
2. Momentum Suite – Multiple Hybrid oscillator
3. Volume Analysis - Buy/sell pressure quantification
4. Key Level Identification - Dynamic support/resistance
5. EMA Trend: Indicates the overall long-term direction.
📊 DASHBOARD INTERPRETATION - ROW BY ROW
ROW 1: Indicator Name and Cell background colour changes with Trend Matrix
ROW 2: EMA ANALYSIS (It analyses independently and does not combine this analysis with the Combined Analysis and Trading View. Background Colour on price chart is based on this)
Purpose: Long-term trend identification using Exponential Moving Averages
What to Watch:
• Major Trend: Overall market direction (Bullish/Bearish/Neutral)
• Bullish Condition: All EMAs aligned upward
• Bearish Condition: All EMAs aligned downward
• Neutral: Mixed alignment
Trading Significance:
• Trading Condition: Current bias based on EMA alignment
• Bullish Market: Focus on LONG positions only
• Bearish Market: Focus on SHORT positions only
• Neutral Market: Wait for clearer direction
ROW 3-4: KEY LEVELS
Purpose: Dynamic support and resistance identification
Levels to Monitor:
• VMS Line-1 (Support): Dynamic Support for long positions
• VMS Line-2 (Resistance): Dynamic Resistance for short positions
• Up/Down: Daily base levels from opening price calculations
• Up: Daily support level based on opening price
• Down: Daily resistance level based on opening price
How Levels Work:
• Wait for Line-1 and 2 Crossing
• In the Upward movement, Line-1 will move with the price, and Line-2 will be moved as a straight line
• In the Downward movement, Line-2 will move with the price, and Line-2 will be moved as a straight line
• Provide clear entry/exit points
• If the price is between these levels, it is mostly a sideways market. After the Upward movement, if the price crosses Line-1 and other bearish conditions are supported, a short position can be taken. And in the Downward movement, it is the reverse condition.
• If the price is above the up level, it can be considered as bullish and below as bearish
ROW 5-6: VOLUME ANALYSIS
Purpose: Measure buying vs selling pressure
Key Metrics:
• Total Buy Volume: Cumulative buying pressure
• Total Sell Volume: Cumulative selling pressure
• Bullish Candles: Number of up-candles in session
• Bearish Candles: Number of down-candles in session
Interpretation:
• Buy Volume > Sell Volume: Bullish sentiment
• Sell Volume > Buy Volume: Bearish sentiment
• Bullish Candles Dominating: Upward momentum
• Bearish Candles Dominating: Downward momentum
ROW 7-8: MOMENTUM SUITE (Background colour of Oscillator is based on this)
Purpose: Short-term momentum strength and direction
Critical Components:
• Direction: Current momentum (BULLISH/BEARISH)
• Strength: 0-100% strength measurement
• Bullish Height: Positive momentum magnitude
• Bearish Height: Negative momentum magnitude
Strength Classification:
• 80-100%: Very Strong - High conviction trades
• 60-80%: Strong - Good trading opportunities
• 40-60%: Moderate - Caution advised
• 20-40%: Weak - Avoid trading
• 0-20%: Very Weak - No trade zone
ROW 9-11: TREND MATRIX
Purpose: Consensus from Multiple technical indicators
Matrix Scoring:
• Bullish Signals: Number voting UP
• Bearish Signals: Number voting DOWN
• Neutral Signals: Non-committed indicators
• Net Score: Bullish - Bearish signals
Trend Classification:
• Strong Uptrend: Net Score ≥ +5
• Uptrend: Net Score +1 to +4
• Neutral: Net Score = 0
• Downtrend: Net Score -1 to -4
• Strong Downtrend: Net Score ≤ -5
ROW 12: COMBINED ANALYSIS
Purpose: Final integrated signal from all systems
Bias Levels:
• STRONG BULLISH: All systems aligned upward
• BULLISH: Majority systems upward
• NEUTRAL: Mixed or weak signals
• BEARISH: Majority systems downward
• STRONG BEARISH: All systems aligned downward
Confidence Score: 0-100% reliability measurement
ROW 13: TRADING VIEW
Purpose: Clear action recommendations
Possible Actions:
• STRONG LONG: High conviction buy signal
• MODERATE LONG: Medium conviction buy signal
• WAIT FOR CONFIRMATION: No clear signal
• MODERATE SHORT: Medium conviction sell signal
• STRONG SHORT: High conviction sell signal
🎯 COMPLETE TRADING RULES
BUY ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BULLISH or STRONG BULLISH
2. Trading Action: MODERATE LONG or STRONG LONG
3. Momentum Strength: ≥ 40% (≥60% for STRONG LONG)
4. Trend Matrix: Net Score ≥ +3
5. EMA Trend: Bullish or Neutral
Confirmation Conditions:
6. Price Position: Above VMS Line-1 AND Base Up
7. Volume Confirmation: Buy Volume > Sell Volume
8. Bullish Candles: More bullish than bearish candles
Risk Management:
9. Stop Loss: Below VMS Line-1 OR Base Down (whichever is lower)
10. Position Size: Based on confidence score (higher score = larger position)
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
SELL/SHORT ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BEARISH or STRONG BEARISH
2. Trading Action: MODERATE SHORT or STRONG SHORT
3. Momentum Strength: ≥ 40% (≥60% for STRONG SHORT)
4. Bearish Signals: ≥ 12 in Trend Matrix
5. Trend Matrix: Net Score ≤ -3
6. EMA Trend: Bearish or Neutral
Confirmation Conditions:
6. Price Position: Below VMS Line-2 AND Base Down
7. Volume Confirmation: Sell Volume > Buy Volume
8. Bearish Candles: More bearish than bullish candles
Risk Management:
9. Stop Loss: Above VMS Line-2 OR Base Up (whichever is higher)
10. Position Size: Based on confidence score
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
⏰ ENTRY/EXIT TIMING
Best Entry Times:
• 9:30-11:00 AM: Early session momentum established
• 12:30-16:30 AM: Mid-session confirmation
• 21:30-23:00 PM: closing session momentum shifts
Avoid Trading:
• First 15 minutes: Excessive volatility
• 12:00-18:00 PM: Low liquidity period
• After 22:00 PM: Session closing volatility
Exit Triggers:
Profit Taking:
• Target 1: 1:1 Risk-Reward (exit 50% position)
• Target 2: 1.5:1 Risk-Reward (exit remaining 50%)
• Trailing Stop: Move stop to breakeven after Target 1
Stop Loss Triggers:
• Price crosses opposite VMS line
• Combined Bias changes to NEUTRAL
• Momentum Strength drops below 20%
• Volume confirmation reverses
•
Emergency Exit:
• Trend Matrix Net Score reverses direction
• 6-EMA trend changes direction
• Key support/resistance breaks against position
📈 TRADING SCENARIOS
Scenario 1: STRONG BULLISH SETUP
- Combined Bias: STRONG BULLISH
- Trading Action: STRONG LONG
- Momentum Strength: 75%
- Trend Matrix: Net Score +8
- Price: Above VMS Line-1 and Base Up
- Volume: Strong buy volume dominance
ACTION: Enter LONG with full position size
STOP LOSS: Below VMS Line-1
TARGET: 1.5:1 Risk-Reward ratio
Scenario 2: MODERATE BEARISH SETUP
- Combined Bias: BEARISH
- Trading Action: MODERATE SHORT
- Momentum Strength: 55%
- Trend Matrix: Net Score -4
- Price: Below VMS Line-2 but above Base Down
- Volume: Moderate sell volume dominance
ACTION: Enter SHORT with half position size
STOP LOSS: Above VMS Line-2
TARGET: 1:1 Risk-Reward ratio
Scenario 3: NEUTRAL/WAIT SETUP
- Combined Bias: NEUTRAL
- Trading Action: WAIT FOR CONFIRMATION
- Momentum Strength: 35%
- Trend Matrix: Net Score 0
- Mixed volume signals
ACTION: NO TRADE - Wait for clearer signals
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⚠️ RISK MANAGEMENT RULES
Position Sizing:
• STRONG Signals (80-100% confidence): 100% normal position
• MODERATE Signals (60-79% confidence): 50-75% position
• WEAK Signals (40-59% confidence): 25% position or avoid
• VERY WEAK (<40% confidence): NO TRADE
Daily Loss Limits:
• Maximum 2% capital loss per day
• Maximum 3 consecutive losing trades
• Stop trading after the daily limit is reached
Trade Management:
• Never move the stop loss against a position
• Take partial profits at predetermined levels
• Never average down losing positions
• Respect all exit signals immediately
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🔄 SIGNAL CONFIRMATION PROCESS
Step 1: Trend Direction
Check EMA alignment and Combined Bias
Step 2: Momentum Strength
Verify Momentum Strength ≥ 40% and direction matches trend
Step 3: Volume Confirmation
Confirm volume supports the direction
Step 4: Matrix Consensus
Ensure Trend Matrix agrees (Net Score ≥ |3|)
Step 5: Price Position
Verify price is on the correct side of key levels
Step 6: Entry Execution
Enter on a pullback to support/resistance with a stop loss
________________________________________
This system works best when you wait for all conditions to align. Patience is key - only trade when all systems confirm the same direction with adequate strength. The multiple confirmation layers significantly increase the probability of success but reduce trading frequency.
MN AUTO SMC & ICT ConceptsMN AUTO SMC & ICT Concepts
🧠 Definition
The MN AUTO SMC & ICT Concepts indicator is an advanced Smart Money Concepts (SMC) toolkit that combines ICT principles, Fair Value Gaps (FVG), Order Blocks (OB), Breaker Blocks (BB), Liquidity Zones, and Market Structure (BOS/CHoCH) into one unified system.
It helps traders identify institutional footprints, price imbalances, and directional bias automatically — ideal for scalpers, intraday, and swing traders who follow ICT or SMC logic.
✨ Core Features
Automatic BOS & CHoCH Detection – Detects structure breaks with precision, including major and minor levels.
Order Blocks (OB) – Highlights valid bullish and bearish OBs with displacement filtering and mitigation logic.
Fair Value Gaps (FVG) – Automatically marks imbalance zones for potential retracement entries.
Liquidity Sweep Detection – Identifies equal highs/lows, inducements, and liquidity traps.
Premium / Discount Zones – Visual Fib-based areas help identify optimal entry (discount) or sell (premium) zones.
Market Structure Visualization – Displays HH, HL, LH, LL, BOS, CHoCH, and MSS transitions dynamically.
Multi-Timeframe (MTF) Analysis – Analyze HTF OB/FVG zones while trading LTF setups.
Smart Filtering – Includes logic for displacement, candle confirmation (engulfing/wick rejection), and overlap validation.
⚙️ User Toggles Explained
🎛️ Structure Options
Show BOS/CHoCH – Toggles structure break visualization.
Structure Type – Choose between Major, Minor, or Both.
MSB Confirmation – Optional extra validation for structure changes.
🟩 Order Block Settings
Enable Order Blocks – Turns on bullish and bearish OB visualization.
Mitigation Mode – OBs auto-adjust as price mitigates them.
Engulfing / Wick Confirmation – Filters out weak OBs using candle confirmations.
Volume Filter (optional) – Highlights OBs formed with high volume for stronger conviction.
🟨 Fair Value Gaps
Enable FVG Zones – Marks imbalanced price ranges.
Overlap Filter – Shows only FVGs overlapping OBs for higher accuracy setups.
Fill Detection – Automatically marks filled/invalidated gaps.
💧 Liquidity Tools
Equal High/Low Detection – Marks double tops/bottoms and inducement zones.
Sweep Detection – Identifies liquidity sweeps (A-B-C model).
Left/Right Liquidity Labels – Custom placement for clarity.
💰 Premium / Discount Zones
Auto Fib Zones – Uses swing-based auto Fibonacci levels (23.6%–78.6%) for premium/discount detection.
Dynamic Updates – Zones shift automatically with new market structure formation.
📊 Visualization
Custom Themes – Choose from Dark, Light, or Dynamic color themes.
Zone Opacity & Width Controls – Adjust for clean, layered visuals.
Label Size Options – Small, Medium, Large display modes.
Alert System – Alerts for BOS, CHoCH, OB/FVG formation, or liquidity sweep.
🧩 How It Works
Detects major swing highs/lows to establish market structure.
Identifies Break of Structure (BOS) or Change of Character (CHoCH).
Validates Order Block (OB) or Fair Value Gap (FVG) responsible for displacement.
Classifies price zones as Premium (Sell Area) or Discount (Buy Area).
Confirms liquidity sweeps and plots Smart Money Targets (SMT) visually.
🎯 Best Use Cases
Scalping: 1min–5min chart using HTF OB/FVG (15m or 1H).
Intraday: 15min–1H chart with BOS + OB confirmation.
Swing Trading: 4H–1D chart to catch institutional moves.
MN - Auto TrendlineMN - Auto Trendline
📊 Definition
MN - Auto Trendline is a powerful multi-system technical tool designed to automatically detect and draw trendlines, support & resistance levels, and Fibonacci retracements on any chart and timeframe.
This script intelligently combines both traditional and advanced algorithms to visualize key market structures — helping traders identify breakout zones, reversal points, and trend continuations without manual line drawing.
✨ Key Features
Dual Trendline Systems – Combines both Original (swing-based) and Advanced (multi-pivot optimized) methods.
Automatic Support & Resistance Zones – Detects and marks major swing-based levels dynamically.
Fibonacci Retracement Tool – Auto-plots Fib retracements based on detected swing highs/lows.
Smart Violation Detection – Identifies when a trendline or zone is broken.
Customizable Visuals – Colors, widths, extensions, labels, and alerts are fully adjustable.
Alerts System – Optional notifications when new pivots, supports, or resistances are formed or broken.
🧭 Quick Preset Modes
Preset Description
Both Systems Enables both Original and Advanced trendline systems + S/R detection. (Default)
Original Only Uses the simple pivot-based trendline system.
Advanced Only Uses optimized multi-pivot detection for refined trendlines.
Support/Resistance Only Displays only Support and Resistance zones.
All Off Turns off all systems for a clean chart reset.
⚙️ User Toggles Explained
🎛️ Main Toggles
Original Trendlines – Enables the base trendline system using pivot highs/lows.
Advanced Trendlines – Enables smart multi-pivot trend detection.
Support & Resistance – Enables automatic S/R zone plotting.
📏 Fibonacci Retracements
Enable Fib Retracements – Turns on automatic Fibonacci plotting based on major swing points.
Labels show key retracement percentages (23.6%, 38.2%, 50%, 61.8%, etc.).
🔹 Pivot Points
Pivot Length – Controls how far the script looks for pivot confirmation.
Mark Pivots – Displays small triangles at detected high/low pivots.
Alerts Enabled – Sends alerts for new pivot formation.
📈 Original Trend Lines
Points to Check – Number of pivots to analyze for trendline creation.
Maximum Violation – Number of candle violations allowed before a trendline is marked as invalid.
Excepted Last Bars – Excludes recent bars from validation (useful for live markets).
Show Violated Lines – Optionally display broken trendlines in a faded style.
Line Extension – Extends trendlines (Right, Left, Both, or None).
Show Labels – Adds trendline price labels.
🎯 Advanced Trendlines
Pivot Length – Defines the pivot calculation depth for advanced detection.
Max Pivots to Keep – Limits the number of historical pivots considered.
Show Pivot Points – Optionally visualize each pivot used for advanced line generation.
Line Width / Extension Bars – Adjust trendline style and how far it extends into the future.
🛡️ Support & Resistance
Enabled – Activates support/resistance zones.
Points to Check – Determines how many pivot levels to use.
Maximum Violation Allowed – Number of candles that can break a level before it’s removed.
Excepted Last Bars – Skips very recent data to avoid premature zone formation.
Show Labels – Displays support/resistance labels with price levels.
Alerts Enabled – Sends alerts when price breaks above resistance or below support.
🎨 Visual Style
High Color / Low Color – Custom color scheme for resistances, supports, and trendlines.
Line Width – Controls the overall visual thickness of lines.
📢 Alerts
The script supports multiple alert types:
New Pivot Detected
Trendline Violated
Support Broken
Resistance Broken
💡 Tips
Works best on 15m–1D timeframes for swing and positional trading.
Combine with RSI, volume, or price action for confirmation.
For intraday traders, reduce Pivot Length and Points to Check for faster updates.
📚 Credits
Developed by Muralitharan_n
License: Mozilla Public License 2.0
Optimal Retracement📘 Optimal Retracement
Fibonacci Retracement Confluence Indicator
(Protected Source)
🧭 Overview
Optimal Retracement is a clean, professional Fibonacci retracement engine that finds price cluster zones where multiple retracements from recent swings align within a tight range. It mirrors the minimalist style of your projection tool: single horizontal lines, right-edge labels with ratio and price, optional price-scale markers, and a clustering core that designates one Prime retracement level with spaced Secondary levels.
⚙️ Core Features
Automatic Trend Bias
Select Auto (EMA-based), Up, or Down to focus calculations on the relevant swing direction.
Swing-Based Anchoring (Non-Repainting)
Builds swing legs from confirmed pivots (left/right bars), scanning a user-defined number of recent swings before computing retracement sets.
Fibonacci Retracements (Boroden)
Standard ratios: 0.236, 0.382, 0.500, 0.618, 0.786
• Up bias (Low→High): computes pullback support below the high.
• Down bias (High→Low): computes pullback resistance above the low.
Cluster Engine (Confluence Finder)
Groups nearby retracement levels within a tick-based tolerance, selects the highest-overlap Prime Cluster, and filters Secondary targets using a minimum spacing rule—keeping charts crisp and readable.
Smart Visualization
• One line per level, extending right a fixed length (configurable).
• Compact right-edge labels (ratio + exact price).
• Optional price-scale markers (Prime + up to two Secondaries).
• Distinct colors/widths for Prime vs Secondary levels.
Alerts Built-In
• Near Prime Cluster — when price approaches the Prime zone.
• Crossed Prime Cluster — when price breaks through the Prime zone.
(Optional runtime alerts include symbol, timeframe, and price.)
🎯 How to Use
Timeframe: Works on any TF; many prefer 1H–Daily for structure.
Bias: Set Auto, Up, or Down to align with trend context.
Swings: Tune Pivot Left/Right and Swings to Scan (e.g., 5–8).
Ratios: Toggle which retracement ratios to include.
Clustering: Adjust Cluster Tolerance (ticks), Min Members, and Min Spacing to instrument volatility/tick size.
Read: Use the Prime retracement cluster as your decision zone; Secondaries offer alternates if Prime is invalidated.
Alerts: Enable Near / Cross alerts to automate monitoring.
💡 Why It’s Different
Basic fib tools draw static lines from one swing. Optimal Retracement aggregates retracements across multiple recent swings and performs mathematical clustering to isolate the most overlapped zone. You get fewer lines, higher informational density, and an objective Prime level—a clean pullback map that pairs perfectly with projection/extension tools.
🔐 Protected Source Notice
Published as a Protected Script to preserve proprietary clustering, swing selection, and visualization design. All calculations, alerts, and visuals are fully functional while the core logic remains secured, consistent with TradingView’s standards for unique, non-trivial scripts.
⚠️ Disclaimer
For educational and analytical purposes only. This tool does not constitute financial advice or performance guarantees. Always perform independent analysis and manage risk appropriately.
🏷 Credits
Methodology inspired by Carolyn Boroden’s Fibonacci work (retracements & price clusters), adapted into a modern, cluster-driven retracement workflow with a minimal chart footprint.
SK Alpha SuiteTrend Dots
Aqua Level 1 Bullish Entry1
Green Level 2 Bullish Entry2
Lime Leve 3 Bullish Entry3 (Full Position)
Light Red Level 1 Bearish : Partial Close 10%-30%
Full Red Level 3 Bearish: Major Close
No StopLoss line hit or its already ended: Full close.
Purple/White Lines
Stop loss line, distance specific to each asset volatility, not fixed distance for all assets.
Close, Medium, Relaxed based on how close you want your stop loss to be.
With in bullish sentiment, if stoploss hits, stoploss will reset again on that bar, shown with white separation
