LFT (Low Frequency Trading) StrategyLFT (Low Frequency Trading) Strategy - For Brokers with HIGH FEES.
Hi,
This is a LFT Strategy made for brokers with high fees per trade. It minimizes the amount of signals given by using an algorithm which only enters when the market has satisfied 15 different indications, and a few custom requirements such as VOD. (Volatility on Daily)
Also you should set a 100 point SL.
DO NOT USE THIS IF THE BROKER YOU ARE USING DOES NOT HAVE HIGH FEES - THIS STRATEGY SHOULD ONLY BE USED FOR LARGE SWING TRADING, NOT SCALPING. YOU WILL NOT RECEIVE SMALL SIGNALS, ONLY MAJOR MOVEMENTS.
I will make modifications to the strategy and publish a version which can be used for scalping, only if there is demand.
To get this strategy just comment below and I will grant you access for a while until the next large update.
Use at your own risk, you are increasing your chances at losing money by not following my instructions. USE ONLY FOR HIGH FEE BROKERS.
Search in scripts for "scalping"
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description
Overview
The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes.
Performance Highlight:
In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior.
The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well.
## Key Innovation & Originality
This strategy introduces a unique **dual scoring system** approach:
- **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria
- **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing
Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions.
## Technical Foundation
### Optimized Indicator Parameters
The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns:
**MACD Configuration (3,10,3)**:
- Fast EMA: 3 periods (vs standard 12)
- Slow EMA: 10 periods (vs standard 26)
- Signal Line: 3 periods (vs standard 9)
- **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility
**RSI Configuration (21-period)**:
- Length: 21 periods (vs standard 14)
- Oversold: 30 level
- Extreme Oversold: 25 level
- **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment
**Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance.
### Scoring System Methodology
**Entry Score Components (Minimum 13 points required)**:
1. **RSI Signals** (max 5 points):
- RSI < 30: +2 points
- RSI < 25: +2 points
- RSI turning up: +1 point
2. **MACD Signals** (max 8 points):
- MACD below zero: +1 point
- MACD turning up: +2 points
- MACD histogram improving: +2 points
- MACD bullish divergence: +3 points
3. **Price Action** (max 4 points):
- Long lower wick (>50%): +2 points
- Small body (<30%): +1 point
- Bullish close: +1 point
4. **Pattern Recognition** (max 8 points):
- RSI bullish divergence: +4 points
- Quick recovery pattern: +2 points
- Reversal confirmation: +4 points
**Exit Score Components (Minimum 13 points required)**:
Uses inverse criteria to identify swing tops with similar weighting system.
## Risk Management Features
### Position Sizing & Risk Control
- **Single Position Strategy**: 100% equity allocation per trade
- **No Overlapping Positions**: Ensures focused risk management
- **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets
### Stop Loss & Take Profit Logic
- **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer
- **Risk-Based Take Profit**: Calculated using risk/reward ratio
- **Clean Exit Logic**: Prevents conflicting signals
## Default Settings Optimization
### Key Parameters (Optimized for MSTR/Bitcoin-style volatility):
- **Minimum Entry Score**: 13 (ensures high-conviction entries)
- **Minimum Exit Score**: 13 (prevents premature exits)
- **Risk/Reward Ratio**: 5.0 (accounts for volatility)
- **Lower Wick Threshold**: 50% (identifies true hammer patterns)
- **Divergence Lookback**: 8 bars (optimal for swing timeframes)
### Why These Defaults Work for MSTR:
1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation
2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets
3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks
4. **21-period RSI**: Reduces noise while maintaining sensitivity
## Visual Features
### Score Display System
- **Green Labels**: Entry scores ≥10 points (below bars)
- **Red Labels**: Exit scores ≥10 points (above bars)
- **Large Triangles**: Actual trade entries/exits
- **Small Triangles**: Reversal pattern confirmations
### Chart Cleanliness
- Indicators plotted in separate panes (MACD, RSI)
- TP/SL levels shown only during active positions
- Clear trade markers distinguish signals from actual trades
## Backtesting Specifications
### Realistic Trading Conditions
- **Commission**: 0.1% per trade
- **Slippage**: 3 points
- **Initial Capital**: $1,000
- **Account Type**: Cash (no margin)
### Sample Size Considerations
- Strategy designed for 100+ trade sample sizes
- Recommended timeframes: 4H, 1D for swing trading
- Optimal for trending/volatile markets
## Strategy Limitations & Considerations
### Market Conditions
- **Best Performance**: Trending markets with clear swings
- **Reduced Effectiveness**: Highly choppy, sideways markets
- **Volatility Dependency**: Optimized for moderate to high volatility assets
### Risk Warnings
- **High Allocation**: 100% position sizing increases risk
- **No Diversification**: Single position strategy
- **Backtesting Limitation**: Past performance doesn't guarantee future results
## Usage Guidelines
### Recommended Assets & Timeframes
- **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes
- **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.)
- **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments)
- **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping
### Timeframe Recommendations
- **Primary Scalping**: 5-minute and 15-minute charts
- **Active Monitoring**: 1-minute for precise entries
- **Swing Scalping**: 30-minute to 1-hour timeframes
- **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities)
## Technical Requirements
- **Pine Script Version**: v6
- **Overlay**: Yes (plots on price chart)
- **Additional Panes**: MACD and RSI indicators
- **Real-time Compatibility**: Confirmed bar signals only
## Customization Options
All parameters are fully customizable through inputs:
- Indicator lengths and levels
- Scoring thresholds
- Risk management settings
- Visual display preferences
- Date range filtering
## Conclusion
This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets.
The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets.
**Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
Destroyer LifeDestroyer Life Strategy - High-Frequency Long & Short Trading
Overview:
The Destroyer Life strategy is an advanced cryptocurrency trading algorithm designed for high-frequency execution on the 15-second timeframe. It combines CRT (Candle Range Trend) and Turtle Soup trading logic with multi-timeframe analysis to optimize entries and exits for both long and short trades. This strategy is specifically optimized for high-volatility crypto pairs, such as SOL/USD on MEXC, ensuring precise execution with minimal drawdown.
Key Features:
15-Second Timeframe Execution: Optimized for ultra-short-term trading.
Long & Short Strategy: Simultaneously identifies profitable buy and sell opportunities.
CRT & Turtle Soup Logic: Leverages price action patterns for enhanced trade accuracy.
Higher Timeframe Analysis (HTF): Incorporates liquidity zones, fair value gaps (FVG), and breaker blocks for context-aware trading.
Dynamic Position Sizing: Uses an adjustable leverage multiplier for risk-controlled trade sizing.
Commission Optimization: Ensures profitability even with trading fees.
Strict Risk Management: Implements exit conditions based on liquidity structure and trend reversals.
Strategy Performance (Backtested on SOL/USD - MEXC):
Overall Profitability: ~80% win rate in backtesting.
Net Profit: $3,151.12 (6.30% ROI).
Gross Profit: $3,795.68 (7.59%).
Gross Loss: $644.56 (1.29%).
Long Trades Profit: $1,459.05 (2.92%).
Short Trades Profit: $1,692.07 (3.38%).
Commission Paid: $924.82.
Minimum Trade Holding Period: 1-minute cooldown between trades.
Trading Logic:
Entry Conditions:
Long Trades: Triggered when the price enters a liquidity void and aligns with higher timeframe bullish bias.
Short Trades: Triggered when price approaches a resistance level with bearish higher timeframe confluence.
CRT & Turtle Soup Patterns: Identifies reversals by analyzing breakout and fake-out structures.
Exit Conditions:
Long Positions Close: Upon price exceeding a 3.88% profit threshold or reversing below an HTF structure.
Short Positions Close: Upon reaching a similar 3.88% threshold or showing strong bullish signals.
Dynamic Position Sizing:
Uses a leverage-based calculation that adapts trade size based on volatility.
Liquidity Awareness:
Tracks Mitigation Blocks (MB), Fair Value Gaps (FVG), Buy/Sell-Side Liquidity (BSL/SSL) to determine optimal execution.
Best Use Cases:
Scalpers & High-Frequency Traders: Those looking for rapid trade execution with short holding periods.
Crypto Traders Focused on Low Timeframes: Optimized for 15-second price action.
Traders Utilizing Liquidity Concepts: Built to exploit liquidity traps and inefficiencies.
Risks & Considerations:
High-Frequency Execution Requires Low Latency: Ensure your broker or exchange supports fast order execution.
Backtested Results May Vary: Real-time performance depends on market conditions.
Commission & Fees Impact Profits: Consider exchanges with low fees to maximize strategy efficiency.
Final Thoughts:
The Destroyer Life Strategy is designed for serious traders looking to take advantage of high-volatility markets with a structured, liquidity-based approach. By combining price action, liquidity concepts, and adaptive risk management, it provides a solid framework for executing high-probability trades on crypto markets.
🚀 Ready to take your trading to the next level? Try Destroyer Life today and dominate the markets!
[B_1] 15min Future Based on Pullback Condition
GENERAL INTRODUCTION:
This scripts is a trend catcher strategy, looking for entry points based on pullback condition.
HOW IT WORKS:
Entry Long: when price close above 15m Supertrend and an EMA line trend, MACD (12,26,9) below MACD signal (12,26,9), RSI(14) >50 & <80 and SAR is positive.
Exit Long: when price hit TPs or touch Stoploss.
Entry Short: when price close below 15m Supertrend and an EMA line trend, MACD (12,26,9) above MACD signal (12,26,9), RSI(14) <50 & >25 and SAR is negative.
Exit Short: when price hit TPs or touch Stoploss.
HOW TO USE IT:
1. Setup comment Long/Short: this setting used for auto trading. You can fill text to alert then in alert box of Tradingview, using {{strategy.order.comment}}.
2. Setup Entry
+ EMA Length: the EMA period to filter the trend (default is 30).
+ Buy/Sell ETH follow BTC: open long/short ETHUSDTPERP when BTCUSDT touch and reject SuperTrend 1H/2H/4H.
+ Long/Short again: Allow re-entry when price hit all TP or SL.
3. Setup Exit
+ Multi profit: Take profit levels are set according to the fibonacci levels.
+ Auto find TP: If having resistants in higher timeframe near TP1, TP1 will auto set at that resistant.
+ Stoploss: you have two options: Stoploss based on percentage or ATR.
+ When price hit TP1, you have two options: only move Stoploss to entry or active trailing.
4. Custom tools
+ SuperTrend MTF: they used for take multiprofit (you can show or hide them).
+ Table result.
BACKTEST:
Currently, the strategy is optimized for: BINANCE:ETHUSDTPERP . However it can also run on some other coins like: BINANCE:RUNEUSDTPERP , BINANCE:FILUSDTPERP , ...
Parameters for BINANCE:ETHUSDTPERP:
+ 01/01/2022 to present.
+ Order size starting: 01 contract.
+ commission fee: 0.02%
+ No leverage.
=> 475 trades, ratio profit: loss is 5800: 400.
If you want access to this scripts, please inbox to me, you are always welcome.
SDR Market Structure (liv3) 1.0🧠 SDR Market Structure (LIV3) v1.0
Precision-Based Market Structure & Momentum Scalping
Strategy Type: Market Structure-Based Scalping
Built For: Intraday, Scalping, Trend-Following or Reversal entries with confirmation filters
Assets: All (optimized for FX and indices)
Timeframes: 1min to 15min (ideal for scalping); higher TFs can be used for structure alignment
🎯 Strategy Overview
SDR Market Structure is a robust scalping strategy that combines structural market context (Change-of-Character, Break of Structure) with a modular system of technical filters that advanced traders can toggle on/off. The strategy is adaptable and surgical, designed to find high-probability trade entries during momentum shifts, liquidity grabs, and trend continuations.
This script supports fine-tuned risk management, multiple confirmation layers, and intraday session filtering, allowing experienced traders to tailor it for precision-based trading in varying volatility regimes.
🔍 Core Logic: CHoCH and Market Structure
At the heart of SDR Scalper is Change-of-Character (CHoCH) detection:
Bullish CHoCH: Occurs when price breaks above a recent swing high (pivot) after making a lower low, implying a potential reversal or continuation.
Bearish CHoCH: Triggers when price breaks below a recent swing low after making a higher high.
Once a CHoCH is identified:
Entry is confirmed only if all selected filters pass, ensuring high-confidence setups.
SL is placed at the most recent swing low/high or an optional looser SL based on fractals.
Break-even logic moves SL to entry upon hitting 1R.
Risk-Reward ratio is fully customizable.
🛠️ Advanced Filter Modules
Each filter module below can be toggled independently, allowing for custom filtering strategies based on trading conditions.
1️⃣ HTF EMA Filter
Purpose: Confirms trend bias using a higher timeframe EMA (e.g., 55 EMA on 15-min TF).
Logic:
Longs: Entry only allowed if price > HTF EMA
Shorts: Entry only allowed if price < HTF EMA
Why Use It: Prevents counter-trend trades. Excellent when used during trending sessions.
Best Paired With: EMA crossover filter or RSI for intraday trend alignment.
2️⃣ EMA Crossover Filter
Inputs: Fast EMA (default 10), Slow EMA (default 50)
Logic:
Longs: Fast EMA must be above Slow EMA
Shorts: Fast EMA below Slow EMA
Enhancement: Adds a moving average structure filter to CHoCH. Good for filtering false breakouts during sideways markets.
Combo Tip: Use alongside RSI/MACD filters to confirm trend momentum.
3️⃣ RSI Filter
Default Period: 14
Logic:
Longs: RSI > threshold (default 50)
Shorts: RSI < threshold
Edge: Useful for momentum confirmation in trending conditions.
Advanced Use:
Raise thresholds to 60/40 in strong trends.
Combine with MACD to filter momentum exhaustion.
4️⃣ MACD Histogram Filter
MACD Histogram > 0: Long entries only
MACD Histogram < 0: Short entries only
Purpose: Measures positive/negative momentum shifts, helpful in volatile breakouts.
Pro Tip: Combine with ROC filter in fast-moving markets for maximum edge.
5️⃣ Rate of Change (ROC) Filter
Default: 9-period
Logic:
Longs: ROC > threshold (default 0.0)
Shorts: ROC < threshold
Why It Works: Captures short bursts of momentum often missed by other lagging indicators.
Combos That Work:
MACD + ROC: Double momentum filter
ROC + EMA crossover: Catch high-speed trend continuations
6️⃣ Stochastic RSI Filter
Parameters: Customizable %K and %D smoothing
Logic:
Longs: StochRSI > threshold and K > D
Shorts: StochRSI < threshold and K < D
Use Case: Effective for mean-reversion and momentum crossovers near S/R zones.
Advanced Tip: Use in ranging markets or to fade extended trends.
7️⃣ Time Filter
Customize Start/End Time: Default is 09:30 - 16:00 (New York session)
Supports Time Zones: Input via string (e.g., GMT+0, EST, etc.)
Visual Aid: Background shading for valid sessions.
Benefits:
Avoids low-liquidity or overnight trading periods.
Prevents false signals in pre/post-market sessions.
8️⃣ Loose Stop-Loss Option
If Enabled: SL placed 1 fractal beyond the last pivot.
Why: Helps in volatile assets like crypto where swing points are commonly breached before reversals.
Note: Should be used with tight risk controls or lower position sizing.
💼 Risk Management & Break-Even Logic
Risk-to-Reward Ratio: Adjustable via input
Auto TP & SL: Based on defined RR and recent structure
Break-Even Feature: Moves SL to entry after 1R is reached to protect capital
📈 Strategy Display Elements
CHoCH & BoS Labels: Visual confirmation of structure breaks
Liquidity Sweep (✖): Optional display for potential stop hunts
Trend Color Candles: Highlights bullish or bearish candle clusters
Session Overlay: Displays active time window on chart
⚙️ Recommended Configurations
Objective Suggested Filters
Trend Scalping HTF EMA + EMA Crossover + RSI
Volatility Breakouts ROC + MACD Histogram + Time Filter
Mean Reversion Stochastic RSI + RSI
Structure-Only Mode Disable all filters except Time Filter
Conservative Mode Enable all filters with tightened thresholds
📌 Final Notes
This script is highly modular and is not a one-size-fits-all strategy. It is a framework that allows advanced traders to apply contextual judgment and optimize entries based on confluence. Extensive backtesting per asset and timeframe is highly recommended.
🛠️ Strategy Parameters Summary
✅ Market Structure Entry (CHoCH)
✅ Smart SL & Break-Even Logic
✅ Modular Momentum Filters (RSI, MACD, ROC, StochRSI)
✅ Trend Filters (HTF EMA, EMA Cross)
✅ Session Filtering & Visualization
✅ Liquidity Sweeps (optional)
pinescript version5
Pumpkin Soup Modified Indicator[Public]This trading strategy is a multi-divergence trading technique using central oscillators such as MACD, SMI, Stochastic, and RSI and MAs (EMA, SMA, WMA) and channels (Bolinger, Caltner, and Doncian).
Only the parts that can be disclosed based on personal sales strategies can be used.
The usage time is at least 1 hour to 1 day. (I recommend the 8 hour stick starting from 3 o'clock)
The MACD ma part is the sensitivity part of the signal, so please use it if necessary.
Background Color: The image of the upward and downward markets is shown in the background.
-Red, green: Downfall, upfall
-Orange, yellow: Short hit section
-Silver, black: Beware of buying and selling.
Middle value (Support Resistance): It represents the sales base of the stock bar where long and short occur, starting from the peak where diversity occurs.
-Red and green lines represent resistance and support, and yellow and blue lines represent short-term sections used for scalping.
MA was used by integrating the MA series in combination.
-The required length of MA is 5 pieces, and I wrote the length I use.
This strategy was used to raise the invitation-only indicator as a strategic indicator before raising it.
(There's no alarm because it's a strategic indicator.)
------------------------------------------------------------------------------------
이 매매 전략은 MACD, SMI, Stochastic, RSI 등 센터드 오실레이터와 MAs(EMA, SMA, WMA)와 채널(볼린저, 캘트너, 돈치안)을 이용한 다중 다이버전스 매매기법입니다.
개인적인 매매전략을 근본으로 공개할 수 있는 부분만 사용할 수 있게 올립니다.
사용시간대는 최소 1시간봉에서 1일봉입니다. (3시봉부터 8시간봉을 추천드립니다)
MACD ma 부분은 시그널상 민감도부분으로 필요시 사용하시길 바랍니다.
Backbround Color : 상승장과 하락장에 대한 이미지를 배경으로 나타내었습니다.
빨간색, 초록색 : 하락장, 상승장
주황색, 노랑색 : 단타 구간
실버색, 검은색 : 매매 주의 구간
Middle value(Support Resistance) : 다이버전스가 생기는 봉을 기점으로 롱과 숏이 발생하는 주가봉의 매물대를 나타냅니다.
빨간선과 초록선은 저항과 지지를 나타내며, 노란선과 파란선은 스캘핑용으로 사용되는 단기 구간을 나타냅니다.
MA는 MA계열을 복합적으로 통합하여 사용하였습니다.
필요한 MA의 길이는 5개정도로 제가 사용하는 길이로 작성하였습니다.
본 전략은 인바이트 온니 지표 올리기전 전략 지표로 올리는 용도로 사용되었습니다.
(전략 지표라 알람이 없습니다.)
※ 전략지표 매매 포인트에서 매매 물타기 불타기 적용
PHANTOM STRIKE Z-4 [ApexLegion]Phantom Strike Z-4
STRATEGY OVERVIEW
This strategy represents an analytical framework using 6 detection systems that analyze distinct market dimensions through adaptive timeframe optimization. Each system targets specific market inefficiencies - automated parameter adjustment, market condition filtering, phantom strike pattern detection, SR exit management, order block identification, and volatility-aware risk management - with results processed through a multi-component scoring calculation that determines signal generation and position management decisions.
SYSTEM ARCHITECTURE PHILOSOPHY
Phantom Strike Z-4 operates through 12 distinct parameter groups encompassing individual settings that allow detailed customization for different trading environments. The strategy employs modular design principles where each analytical component functions independently while contributing to unified decision-making protocols. This architecture enables traders to engage with structured market analysis through intuitive configuration options while the underlying algorithms handle complex computational processes.
The framework approaches certain aspects differently from static trading approaches by implementing real-time parameter adjustment based on timeframe characteristics, market volatility conditions, news event detection, and weekend gap analysis. During low-volatility periods where traditional strategies struggle to generate meaningful returns, Z-4's adaptive systems identify micro-opportunities through formation analysis and systematic patience protocols.
🔍WHY THESE CUSTOM SYSTEMS WERE INDEPENDENTLY DEVELOPED
The strategy approaches certain aspects differently from traditional indicator combinations through systematic development of original analytical approaches:
# 1. Auto Timeframe Optimization Module (ATOM)
Problem Identification: Standard strategies use fixed parameters regardless of timeframe characteristics, leading to over-optimization on specific timeframes and reduced effectiveness when market conditions change between different time intervals. Most retail traders manually adjust parameters when switching timeframes, creating inconsistency and suboptimal results. Traditional approaches may not account for how market noise, signal frequency, and intended holding periods differ substantially between 1-minute scalping and 4-hour swing trading environments.
Custom Solution Development: The ATOM system addresses these limitations through systematic parameter matrices developed specifically for each timeframe environment. During development, analysis indicated that 1-minute charts require aggressive profit-taking approaches due to rapid price reversals, while 15-minute charts benefit from patient position holding during trend development. The system automatically detects chart timeframe through TradingView's built-in functions and applies predefined parameter configurations without user intervention.
Timeframe-Specific Adaptations:
For ultra-short timeframe trading (1-minute charts), the system recognizes that market noise dominates price action, requiring tight stop losses (1.0%) and rapid profit realization (25% at TP1, 35% at TP2, 40% at TP3). Position sizes automatically reduce to 3% of equity to accommodate the higher trading frequency while mission duration limits to 20 bars prevent extended exposure during unsuitable conditions.
Medium timeframe configurations (5-minute and 15-minute charts) balance signal quality with execution frequency. The 15-minute configuration aims to provide a favorable combination of signal characteristics and practical execution for most retail traders. Formation thresholds increase to 2.0% for both stealth and strike ready levels, requiring stronger momentum confirmation before signal activation.
Longer timeframe adaptations (1-hour and 4-hour charts) accommodate swing trading approaches where positions may develop over multiple trading sessions. Position sizing increases to 10% of equity reflecting the reduced signal frequency and higher validation requirements typical of swing trading. Take profit targets extend considerably (TP1: 2.0%, TP2: 4.0%, TP3: 8.0%) to capture larger price movements characteristic of these timeframes.
# 2. Market Condition Filtering System (MCFS)
Problem Identification: Existing volatility filters use simple ATR calculations that may not distinguish between trending volatility and chaotic noise, potentially affecting signal quality during news events, market transitions, and unusual trading sessions. Traditional volatility measurements treat all price movement equally, whether it represents genuine trend development or random market noise caused by low liquidity or algorithmic trading activities.
Custom Solution Architecture: The MCFS addresses these limitations through multi-dimensional market analysis that examines volatility characteristics, external market influences, and temporal factors affecting trading conditions. Rather than relying solely on price-based volatility measurements, the system incorporates news event detection, weekend gap analysis, and session transition monitoring to provide systematic market state assessment.
Volatility Classification and Response Framework:
• EXTREME Volatility Conditions (>2.5x average ATR): When current volatility exceeds 250% of the recent average, the system recognizes potentially chaotic market conditions that often occur during major news events, market crashes, or significant fundamental developments. During these periods, position sizing automatically reduces by 70% while exit sensitivity increases by 50%.
• HIGH Volatility Conditions (1.8-2.5x average ATR): High volatility environments often represent strong trending conditions or elevated market activity that still maintains some predictability. Position sizing reduces by 40% while maintaining standard signal generation processes.
• NORMAL Volatility Conditions (1.2-1.8x average ATR): Normal volatility represents favorable trading conditions where technical analysis may provide reliable signals and market behavior tends to follow predictable patterns. All strategy parameters operate at standard settings.
• LOW Volatility Conditions (0.8-1.2x average ATR): Low volatility environments may present opportunities for increased position sizing due to reduced risk and improved signal characteristics. Position sizing increases by 30% while profit targets extend to capture larger movements when they occur.
• DEAD Volatility Conditions (<0.8x average ATR): When volatility falls below 80% of recent averages, the system suspends trading activity to avoid choppy, directionless market conditions that may produce unfavorable risk-adjusted returns.
# 3. Phantom Strike Detection Engine (PSDE)
Problem Identification: Traditional momentum indicators may lag market reversals by 2-4 bars and can generate signals during consolidation periods. Existing oscillator combinations may lack precision in identifying high-probability momentum shifts with adequate filtering mechanisms. Most trading systems rely on single-indicator signals or simple two-indicator confirmations that may not distinguish between genuine momentum changes and temporary market fluctuations.
Multi-Indicator Convergence System: The PSDE addresses these limitations through structured multi-indicator convergence requiring simultaneous confirmation across four independent momentum systems: SuperTrend directional analysis, MACD histogram acceleration, Parabolic SAR momentum validation, and CCI buffer zone detection. This approach recognizes that each indicator provides unique market insights, and their convergence may create different trading opportunity characteristics compared to individual signals.
Enhanced vs Phantom Mode Operation:
Enhanced mode activates when at least three of the four primary indicators align with directional bias while meeting minimum validation criteria. Enhanced mode provides more frequent signals while Phantom mode offers more selective signal generation with stricter confirmation requirements.
Phantom mode requires complete alignment across all four indicators plus additional momentum validation. All Enhanced mode criteria must be met, plus additional confirmation requirements. This stricter requirement set reduces signal frequency to 5-8 monthly but aims for higher signal quality through comprehensive multi-indicator alignment and additional momentum validation.
# 4. Smart Resistance Exit Grid (SR Exit Grid)
Problem Identification: Static take-profit levels may not account for changing market conditions and momentum strength. Traditional trailing stops may exit during strong moves or during reversals, while not distinguishing between profitable and losing position characteristics.
Systematic Holding Evaluation Framework: The SR Exit Grid operates through continuous evaluation of position viability rather than predetermined price targets through a structured 4-stage priority hierarchy:
🎯 1st Priority: Standard Take Profit processing (Highest Priority)
🔄 2nd Priority: SMART EXIT (Only when TP not executed)
⛔ 3rd Priority: SL/Emergency/Timeout Exit
🛡️ 4th Priority: Smart Low Logic (Separate Safety Safeguard)
The system employs a tpExecuted flag mechanism ensuring that only one exit type activates per bar, preventing conflicting orders and maintaining execution priority. Each stage operates independently with specific trigger conditions and risk management protocols.
Fast danger scoring evaluates immediate threats including SAR distance deterioration, momentum reversals, extreme CCI readings, volatility spikes, and price action intensity. When combined scores exceed specified thresholds (8.0+ danger with <2.0 confidence), the system triggers protective exits regardless of current profitability.
# 5. Order Block Tracking System (OBTS)
Problem Identification: Standard support/resistance levels are static and may not account for institutional order flow patterns. Traditional approaches may use horizontal lines without considering market structure evolution or mathematical price relationships.
Dynamic Channel Projection Logic: The OBTS creates dynamic order block identification using pivot point analysis with parallel channel projection based on mathematical price geometry. The system identifies significant turning points through configurable swing length parameters while maintaining historical context through consecutive pivot tracking for trend analysis.
Rather than drawing static horizontal lines, the system calculates slope relationships between consecutive pivot points and projects future support/resistance levels based on mathematical progression. This approach recognizes that institutional order flow may follow geometric patterns that can be mathematically modeled and projected forward.
# 6. Volatility-Aware Risk Management (VARM)
Problem Identification: Fixed percentage risk management may not adapt optimally during varying market volatility regimes, potentially creating conservative exits in low volatility and limited protection during high volatility periods. Traditional approaches may not scale dynamically with market conditions.
Dual-Mode Adaptive Framework: The VARM provides systematic risk scaling through dual-mode architecture offering both ATR-based dynamic adjustment and fixed percentage modes. Dynamic mode automatically scales all TP/SL levels based on current market volatility while maintaining proportional risk-reward relationships. Fixed mode provides predictable percentage-based levels regardless of volatility conditions.
Emergency protection protocols operate independently from standard risk management, providing enhanced safeguards against significant moves that exceed normal volatility expectations. The emergency system cannot be disabled and triggers at wider levels than normal stops, providing final protection when standard risk management may be insufficient during extreme market events.
## Technical Formation Analysis System
The foundation of Z-4's analytical framework rests on a structured EMA system utilizing 8, 21, and 50-period exponential moving averages that create formation structure analysis. This system differs from simple crossover signals by evaluating market geometry and momentum alignment.
Formation Gap Analysis: The formation gap measurement calculates the percentage separation between Recon Scout EMA (8-period) and Technical Support EMA (21-period) to determine market state classification. When gap percentage falls below the Stealth Mode Threshold (default 1.5%), the market enters consolidation phase requiring enhanced patience. When gap exceeds Strike Ready Threshold (1.5%), conditions become favorable for momentum-based entries.
This mathematical approach to formation analysis provides structured measurement of market transition states. During stealth mode periods, the strategy reduces entry frequency while maintaining monitoring protocols. Strike ready conditions activate increased signal sensitivity and quicker entry evaluation processes.
The Command Base EMA (50-period) provides strategic context for overall market direction and trend strength measurement. Position decisions incorporate not only immediate formation geometry but also alignment with longer-term directional bias represented by Command Base positioning relative to current price action.
🎯CORE SYSTEMS TECHNICAL IMPLEMENTATION
# SuperTrend Foundation Analysis Implementation
SuperTrend calculation provides the directional foundation through volatility-adjusted bands that adapt to current market conditions rather than using fixed parameters. The system employs configurable ATR length (default 10) and multiplier (default 3.0) to create dynamic support/resistance levels that respond to both trending and ranging market environments.
Volatility-Adjusted Band Calculation:
st_atr = ta.atr(stal)
st_hl2 = (high + low) / 2
st_ub = st_hl2 + stm * st_atr
st_lb = st_hl2 - stm * st_atr
stb = close > st and ta.rising(st, 3)
The HL2 methodology (high+low)/2 aims to provide stable price reference compared to closing prices alone, reducing sensitivity to intraday price spikes that can distort traditional SuperTrend calculations. ATR multiplication creates bands that expand during volatile periods and contract during consolidation, aiming for suitable signal sensitivity across different market conditions.
Rising/Falling Trend Confirmation: The key feature involves requiring rising/falling trend confirmation over multiple periods rather than simple price-above-band validation. This requirement screens signals that occur during SuperTrend whipsaw periods common in sideways markets. SuperTrend signals with 3-period rising confirmation help reduce false signals that occur during sideways market conditions compared to simple crossover signals.
Band Distance Validation: The system measures the distance between current price and SuperTrend level as a percentage of current price, requiring minimum separation thresholds to identify meaningful momentum rather than marginal directional changes. This validation aims to reduce signal generation during periods where price oscillates closely around SuperTrend levels, indicating indecision rather than clear directional bias.
# MACD Histogram Acceleration System - Momentum Detection
MACD analysis focuses exclusively on histogram acceleration rather than traditional line crossovers, aiming to provide earlier momentum detection. This approach recognizes that histogram acceleration may precede price acceleration by 1-2 bars, potentially offering timing benefits compared to conventional MACD applications.
Acceleration-Based Signal Generation:
mf = ta.ema(close, mfl)
ms = ta.ema(close, msl)
ml = mf - ms
msg = ta.ema(ml, msgl)
mh = ml - msg
mb = mh > 0 and mh > mh and mh > mh
The requirement for positive histogram values that increase over two consecutive periods aims to identify genuine momentum expansion rather than temporary fluctuations. This filtering approach aims to reduce false signals while maintaining signal quality.
Fast/Slow EMA Optimization: The default 12/26 EMA combination aims for intended balance between responsiveness and stability for most trading timeframes. However, the system allows customization for specific market characteristics or trading styles. Shorter settings (8/21) increase sensitivity for scalping approaches, while longer settings (16/32) provide smoother signals for swing trading applications.
Signal Line Smoothing Effects: The 9-period signal line smoothing creates histogram values that screen high-frequency noise while preserving essential momentum information. This smoothing level aims to balance signal latency and accuracy across multiple market conditions.
# Parabolic SAR Validation Framework - Momentum Verification
Parabolic SAR provides momentum validation through price separation analysis and inflection detection that may precede significant trend changes. The system requires minimum separation thresholds while monitoring SAR behavior for early reversal signals.
Separation-Based Validation:
sar = ta.sar(ss, si, sm)
sarb = close > sar and (close - sar) / close > 0.005
sardp = math.abs(close - sar) / close * 100
sariu = sarm > 0 and sarm < 0 and math.abs(sarmc) > saris
The 0.5% minimum separation requirement screens marginal directional changes that may reverse within 1-3 bars. The 0.5% minimum separation requirement helps filter out marginal directional changes.
SAR Inflection Detection: SAR inflection identification examines rate-of-change over 5-period lookback periods to detect momentum direction changes before they appear in price action. Inflection sensitivity (default 1.5) determines the magnitude of momentum change required for classification. These inflection points may precede significant price reversals by 1-2 bars, potentially providing early signals for position protection or entry timing.
Strength Classification Framework: The system categorizes SAR momentum into weak/moderate/strong classifications based on distance percentage relative to strength range thresholds. Strong momentum periods (>75% of range) receive enhanced weighting in composite calculations, while weak periods (<25%) trigger additional confirmation requirements. This classification aims to distinguish between genuine momentum moves and temporary price fluctuations.
# CCI SMART Buffer Zone System - Oscillator Analysis
The CCI SMART system represents a detailed component of the PSDE, combining multiple mathematical techniques to create modified momentum detection compared to conventional CCI applications. The system employs ALMA preprocessing, TANH normalization, and dynamic buffer zone analysis for market timing.
ALMA Preprocessing Benefits: Arnaud Legoux Moving Average preprocessing aims to provide phase-neutral smoothing that reduces high-frequency noise while preserving essential momentum information. The configurable offset (0.85) and sigma (6.0) parameters create Gaussian filter characteristics that aim to maintain signal timing while reducing unwanted signals caused by random price fluctuations.
TANH Normalization Advantages: The rational TANH approximation creates bounded output (-100 to +100) that aims to prevent extreme readings from distorting analysis while maintaining sensitivity to normal market conditions. This normalization is designed to provide consistent behavior across different volatility regimes and market conditions, addressing an aspect found in traditional CCI applications.
Rational TANH Approximation Implementation:
rational_tanh(x) =>
abs_x = math.abs(x)
if abs_x >= 4.0
x >= 0 ? 1.0 : -1.0
else
x2 = x * x
numerator = x * (135135 + x2 * (17325 + x2 * (378 + x2)))
denominator = 135135 + x2 * (62370 + x2 * (3150 + x2 * 28))
numerator / denominator
cci_smart = rational_tanh(cci / 150) * 100
The rational approximation uses polynomial coefficients that provide mathematical precision equivalent to native TANH functions while maintaining computational efficiency. The 4.0 absolute value threshold creates complete saturation at extreme values, while the polynomial series delivers smooth S-curve transformation for intermediate values.
Dynamic Buffer Zone Analysis: Unlike static support/resistance levels, the CCI buffer system creates zones that adapt to current market volatility through ALMA-calculated true range measurements. Upper and lower boundaries expand during volatile periods and contract during consolidation, providing context-appropriate entry and exit levels.
CCI Buffer System Implementation:
cci = ta.cci(close, ccil)
cci_atr = ta.alma(ta.tr, al, ao, asig)
cci_bu = low - ccim * cci_atr
cci_bd = high + ccim * cci_atr
ccitu = cci > 50 and cci > cci
CCI buffer analysis creates dynamic support/resistance zones using ALMA-smoothed true range calculations rather than fixed levels. Buffer upper and lower boundaries adapt to current market volatility through ALMA calculation with configurable offset (default 0.85) and sigma (default 6.0) parameters.
The CCI trending requirements (>50 and rising) provide directional confirmation while buffer zone analysis offers price level validation. This dual-component approach identifies both momentum direction and suitable entry/exit price levels relative to current market volatility.
# Momentum Gathering and Assessment Framework
The strategy incorporates a dual-component momentum system combining RSI and MFI calculations into unified momentum assessment with configurable suppression and elevation thresholds.
Composite Momentum Calculation:
ri = ta.rsi(close, mgp)
mi = ta.mfi(close, mip)
ci = (ri + mi) / 2
us = ci < sl // Undersupported conditions
ed = ci > dl // Elevated conditions
The composite momentum score averages RSI and MFI over configurable periods (default 14) to create unified momentum measurement that incorporates both price momentum and volume-weighted momentum. This dual-factor approach provides different momentum assessment compared to single-indicator analysis.
Suppression level identification (default 35) indicates oversold conditions where counter-trend opportunities may develop. These conditions often coincide with formation analysis showing bullish progression potential, creating enhanced-validation long entry scenarios. Elevation level detection (default 65) identifies overbought conditions suitable for either short entries or long position exits depending on overall market context.
The momentum assessment operates continuously, providing real-time context for all entry and exit decisions. Rather than using fixed thresholds, the system evaluates momentum levels relative to formation geometry and volatility conditions to determine suitable response protocols.
Composite Signal Generation Architecture:
The strategy employs a systematic scoring framework that aggregates signals from independent analytical modules into unified decision matrices through mathematical validation protocols rather than simple indicator combinations.
Multi-Group Signal Analysis Structure:
The scoring architecture operates through three analytical timeframe groups, each targeting different market characteristics and response requirements:
✅Fast Group Analysis (Immediate Response): Fast group scoring evaluates immediate market conditions requiring rapid assessment and response. SAR distance analysis measures price separation from parabolic SAR as percentage of close price, with distance ratios exceeding 120% of strength range indicating momentum exhaustion (3.0 points). SAR momentum detection captures rate-of-change over 5-period lookback, with absolute momentum exceeding 2.0% indicating notable acceleration or deceleration (1.0 point).
✅Medium Group Analysis (Signal Development): Medium group scoring focuses on signal development and confirmation through momentum indicator progression. Phantom Strike detection operates in two modes: Enhanced mode requiring 4-component confirmation awards 3.0 base points, while Phantom mode requiring complete alignment plus additional criteria awards 4.0 base points.
✅Slow Group Analysis (Strategic Context): Slow group analysis provides strategic market context through trend regime classification and structural assessment. Trend classification scoring awards top points (3.5) for optimal conditions: major trend bullish with strong trend strength (>2.0% EMA spread), 2.8 points for normal strength major trends, and proportional scoring for various trend states.
Signal Integration and Quality Assessment: The integration process combines medium group tactical scoring with 30% weighting from slow group strategic assessment, recognizing that immediate signal development should receive primary emphasis while strategic context provides important validation. Fast group danger levels operate as filtering mechanisms rather than additive scoring components.
Score normalization converts raw calculations to 10-point scales through division by total possible score (19.6) and multiplication by 10. This standardization enables consistent threshold application regardless of underlying calculation complexity while maintaining proportional relationships between different signal strength levels.
Conflict Resolution and Priority Logic:
sc = math.abs(cs_les - cs_ses) < 1.5
hqls = sql and not sc and (cs_les > cs_ses * 1.15)
hqss = sqs and not sc and (cs_ses > cs_les * 1.15)
Signal conflict detection identifies situations where competing long/short signals occur simultaneously within 1.5-point differential. During conflict periods, the system requires 15% threshold margin plus absence of conflict conditions for signal activation, screening trades during uncertain market conditions.
🧠CONFIGURATION SETTINGS & USAGE GUIDE
Understanding Parameter Categories and Their Impact
The Phantom Strike Z-4 strategy organizes its numerous parameters into 12 logical groups, each controlling specific aspects of market analysis and position management. Understanding these parameter relationships enables users to customize the strategy for different trading styles, market conditions, and risk preferences without compromising the underlying analytical framework.
Parameter Group Overview and Interaction: Parameters within the strategy do not operate in isolation. Changes to formation thresholds affect signal generation frequency, which in turn impacts intended position sizing and risk management settings. Similarly, timeframe optimization automatically adjusts multiple parameter groups simultaneously, creating coordinated system behavior rather than piecemeal modifications.
Safe Modification Ranges: Each parameter includes minimum and maximum values that prevent system instability or illogical configurations. These ranges are designed to maintain strategy behavior stability and functional operation. Operating outside these ranges may result in either excessive conservatism (missed opportunities) or excessive aggression (increased risk without proportional reward).
# Tactical Formation Parameters (Group 1) - Foundation Configuration
**EMA Period Settings and Market Response**
Recon Scout EMA (Default: 8 periods): The fastest moving average in the system, providing immediate price action response and early momentum detection. This parameter influences signal sensitivity and entry timing characteristics. Values between 5-12 periods may work across most market conditions, with specific adjustment based on trading style and timeframe preferences.
-Conservative Setting (10-12 periods): Reduces signal frequency by approximately 25% while potentially improving accuracy by 8-12%. Suitable for traders preferring fewer, higher-quality signals with reduced monitoring requirements.
-Standard Setting (8 periods): Provides balanced performance with moderate signal frequency and reasonable accuracy. Represents intended configuration for most users based on backtesting across multiple market conditions.
-Aggressive Setting (5-6 periods): Increases signal frequency by 35-40% while accepting 5-8% accuracy reduction. Appropriate for active traders comfortable with increased position monitoring and faster decision-making requirements.
Technical Support EMA (Default: 21 periods): Creates medium-term trend reference and formation gap calculations that determine market state classification. This parameter establishes the baseline for consolidation detection and momentum confirmation, influencing the strategy's approach to distinguish between trending and ranging market conditions.
Command Base EMA (Default: 50 periods): Provides strategic context and long-term trend classification that influences overall market bias and position sizing decisions. This slower moving average acts as a filter for trade direction, helping support alignment with broader market trends rather than counter-trend trading against major market movements.
**Formation Threshold Configuration**
Stealth Mode Threshold (Default: 1.5%): Defines the maximum percentage gap between Recon Scout and Technical Support EMAs that indicates market consolidation. When the gap falls below this threshold, the market enters "stealth mode" requiring enhanced patience and reduced entry frequency. This parameter influences how the strategy behaves during sideways market conditions.
-Tight Threshold (0.8-1.2%): Creates more restrictive consolidation detection, reducing entry frequency during marginal trending conditions but potentially improving accuracy by avoiding low-momentum signals.
-Standard Threshold (1.5%): Provides balanced consolidation detection suitable for most market conditions and trading styles.
-Loose Threshold (2.0-3.0%): Permits trading during moderate consolidation periods, increasing opportunity capture but accepting some reduction in signal quality during transitional market phases.
-Strike Ready Threshold (Default: 1.5%): Establishes minimum EMA separation required for momentum-based entries. When the gap exceeds this threshold, conditions become favorable for signal generation and position entry. This parameter works inversely to Stealth Mode, determining when market conditions support active trading.
# Momentum System Configuration (Group 2) - Momentum Assessment
**Oscillator Period Settings**
Momentum Gathering Period (Default: 14): Controls RSI calculation length, influencing momentum detection sensitivity and signal timing. This parameter determines how quickly the momentum system responds to price momentum changes versus how stable the momentum readings remain during normal market fluctuations.
-Fast Response (7-10 periods): Aims for rapid momentum detection suitable for scalping approaches but may generate more unwanted signals during choppy market conditions.
-Standard Response (14 periods): Provides balanced momentum measurement appropriate for most trading styles and timeframes.
-Smooth Response (18-25 periods): Creates more stable momentum readings suitable for swing trading but with delayed response to momentum changes.
-Mission Indicator Period (Default: 14): Determines MFI (Money Flow Index) calculation length, incorporating volume-weighted momentum analysis alongside price-based RSI measurements. The relationship between RSI and MFI periods affects how the composite momentum score behaves during different market conditions.
**Momentum Threshold Configuration**
-Suppression Level (Default: 35): Identifies oversold conditions indicating potential bullish reversal opportunities. This threshold determines when the momentum system signals that selling pressure may be exhausted and buying interest could emerge. Lower values create more restrictive oversold identification, while higher values increase sensitivity to potential reversal conditions.
-Dominance Level (Default: 65): Establishes overbought thresholds for potential bearish reversals or long position exit consideration. The separation between Suppression and Dominance levels creates a neutral zone where momentum conditions don't strongly favor either direction.
# Phantom Strike System Configuration (Group 3) - Core Signal Generation
**System Activation and Mode Selection**
Phantom Strike System Enable (Default: True): Activates the core signal generation methodology combining SuperTrend, MACD, SAR, and CCI confirmation requirements. Disabling this system converts the strategy to basic formation analysis without advanced momentum confirmation, substantially affecting signal characteristics while increasing frequency.
Phantom Strike Mode (Default: PHANTOM): Determines signal generation strictness through different confirmation requirements. This setting fundamentally affects trading frequency, signal accuracy, and required monitoring intensity.
ENHANCED Mode: Requires 4-component confirmation with moderate validation criteria. Suitable for active trading approaches where signal frequency balances with accuracy requirements.
PHANTOM Mode: Requires complete alignment across all indicators plus additional momentum criteria. Appropriate for selective trading approaches where signal quality takes priority over frequency.
**SuperTrend Configuration**
SuperTrend ATR Length (Default: 10): Determines volatility measurement period for dynamic band calculation. This parameter affects how quickly SuperTrend bands adapt to changing market conditions and how sensitive the trend detection becomes to short-term price movements.
SuperTrend Multiplier (Default: 3.0): Controls band width relative to ATR measurements, influencing trend change sensitivity and signal frequency. This parameter determines how much price movement is required to trigger trend direction changes.
**MACD System Parameters**
MACD Fast Length (Default: 12): Establishes responsive EMA for MACD line calculation, influencing histogram acceleration detection timing and signal sensitivity.
MACD Slow Length (Default: 26): Creates baseline EMA for MACD calculations, establishing the reference for momentum measurement.
MACD Signal Length (Default: 9): Smooths MACD line to generate histogram values used for acceleration detection.
**Parabolic SAR Settings**
SAR Start (Default: 0.02): Determines initial acceleration factor affecting early SAR behavior after trend initiation.
SAR Increment (Default: 0.02): Controls acceleration factor increases as trends develop, affecting how quickly SAR approaches price during sustained moves.
SAR Maximum (Default: 0.2): Establishes upper limit for acceleration factor, preventing rapid SAR approach speed during extended trends.
**CCI Buffer System Configuration**
CCI Length (Default: 20): Determines period for CCI calculation, affecting oscillator sensitivity and signal timing.
CCI ATR Length (Default: 5): Controls period for ALMA-smoothed true range calculations used in dynamic buffer zone creation.
CCI Multiplier (Default: 1.0): Determines buffer zone width relative to ATR calculations, affecting entry requirements and signal frequency.
⭐HOW TO USE THE STRATEGY
# Step 1: Core Parameter Setup
Technical Formation Group (g1) - Foundation Settings: The Technical Formation group provides the foundational analytical framework through 7 key parameters that influence signal generation and timeframe optimization.
Auto Optimization Controls:
enable_auto_tf = input.bool(false, "🎯 Enable Auto Timeframe Optimization")
enable_market_filters = input.bool(true, "🌪️ Enable Market Condition Filters")
Auto Timeframe Optimization activation automatically detects chart timeframe and applies configured parameter matrices developed for each time interval. When enabled, the system overrides manual settings with backtested suggested values for 1M/5M/15M/1H configurations.
Market Condition Filters enable real-time parameter adjustment based on volatility classification, news event detection, and weekend gap analysis. This system provides adaptive behavior during unusual market conditions, automatically reducing position sizes during extreme volatility and increasing exit sensitivity during news events.
# Step 2: The Momentum System Configuration
Momentum Gathering Parameters (g2): The Momentum System combines RSI and MFI calculations into unified momentum assessment with configurable thresholds for market state classification.
# Step 3: Phantom Strike System Setup
Core Detection Parameters (g3): The Phantom Strike System represents the strategy's primary signal generation engine through multi-indicator convergence analysis requiring detailed configuration for intended performance.
Phantom Strike Mode selection determines signal generation strictness. Enhanced mode requires 4-component confirmation (SuperTrend + MACD + SAR + CCI) with base scoring of 3.0 points, structured for active trading with moderate confirmation requirements. Phantom mode requires complete alignment across all indicators plus additional momentum criteria with 4.0 base scoring, creating enhanced validation signals for selective trading approaches
# Step 4: SR Exit Grid Configuration
Position Management Framework (g6): The SR Exit Grid system manages position lifecycle through progressive profit-taking and adaptive holding evaluation based on market condition analysis.
esr = input.bool(true, "Enable SR Exit Grid")
ept = input.bool(true, "Enable Partial Take Profit")
ets = input.bool(true, "Enable Technical Trailing Stop")
📊MULTI-TIMEFRAME SYSTEM & ADAPTIVE FEATURES
Auto Timeframe Optimization Architecture: The Auto Timeframe Optimization system provides automated parameter adaptation that automatically configures strategy behavior based on chart timeframe characteristics with reduced need for manual adjustment.
1-Minute Ultra Scalping Configuration:
get_1M_params() =>
StrategyParams.new(
smt = 0.8, srt = 1.0, mcb = 2, mmd = 20,
smartThreshold = 0.1, consecutiveLimit = 20,
positionSize = 3.0, enableQuickEntry = true,
ptp1 = 25, ptp2 = 35, ptp3 = 40,
tm1 = 1.5, tm2 = 3.0, tm3 = 4.5, tmf = 6.0,
isl = 1.0, esl = 2.0, tsd = 0.5, dsm = 1.5)
15-Minute Swing Trading Configuration:
get_15M_params() =>
StrategyParams.new(
smt = 2.0, srt = 2.0, mcb = 8, mmd = 100,
smartThreshold = 0.3, consecutiveLimit = 12,
positionSize = 7.0, enableQuickEntry = false,
ptp1 = 15, ptp2 = 25, ptp3 = 35,
tm1 = 4.0, tm2 = 8.0, tm3 = 12.0, tmf = 18.0,
isl = 2.0, esl = 3.5, tsd = 1.2, dsm = 2.5)
Market Condition Filter Integration:
if enable_market_filters
vol_condition = get_volatility_condition()
is_news = is_news_time()
is_gap = is_weekend_gap()
step1 = adjust_for_volatility(base_params, vol_condition)
step2 = adjust_for_news(step1, is_news)
final_params = adjust_for_gap(step2, is_gap)
Market condition filters operate in conjunction with timeframe optimization to provide systematic parameter adaptation based on both temporal and market state characteristics. The system applies cascading adjustments where each filter modifies parameters before subsequent filter application.
Volatility Classification Thresholds:
- EXTREME: >2.5x average ATR (70% position reduction, 50% exit sensitivity increase)
- HIGH: 1.8-2.5x average (40% position reduction, increased monitoring)
- NORMAL: 1.2-1.8x average (standard operations)
- LOW: 0.8-1.2x average (30% position increase, extended targets)
- DEAD: <0.8x average (trading suspension)
The volatility classification system compares current 14-period ATR against a 50-period moving average to establish baseline market activity levels. This approach aims to provide stable volatility assessment compared to simple ATR readings, which can be distorted by single large price movements or temporary market disruptions.
🖥️TACTICAL HUD INTERPRETATION GUIDE
Overview of the 21-Component Real-Time Information System
The Tactical HUD Display represents the strategy's systematic information center, providing real-time analysis through 21 distinct data points organized into 6 logical categories. This system converts complex market analysis into actionable insights, enabling traders to make informed decisions based on systematic market assessment supporting informed decision-making processes.
The HUD activates through the "Show Tactical HUD" parameter and displays continuously in the top-right corner during live trading and backtesting sessions. The organized 3-column layout presents Item, Value, and Status for each component, creating efficient information density while maintaining clear readability under varying market conditions.
# Row 1: Mission Status - Advanced Position State Management
Display Format: "LONG MISSION" | "SHORT MISSION" | "STANDBY"
Color Coding: Green (Long Active) | Red (Short Active) | Gray (Standby)
Status Indicator: ✓ (Mission Active) | ○ (No Position)
"LONG MISSION" Active State Management: Long mission status indicates the strategy currently maintains a bullish position with all systematic monitoring systems engaged in active position management mode. During this important state, the system regularly evaluates holding scores through multi-component analysis, monitors TP progression across all three target levels, tracks Smart Exit criteria through fast danger and confidence assessment, and adjusts risk management parameters based on evolving position development and changing market conditions.
"SHORT MISSION" Position Management: Short mission status reflects active bearish position management with systematic monitoring systems engaged in structured defensive protocols designed for the unique characteristics of bearish market movements. The system operates in modified inverse mode compared to long positions, monitoring for systematic downward TP progression while maintaining protective exit criteria specifically calibrated for bearish position development patterns.
"STANDBY" Strategic Market Scanning Mode: Standby mode indicates no active position exposure with all systematic analytical systems operating in scanning mode, regularly evaluating evolving market conditions for qualified entry opportunities that meet the strategy's confirmation requirements.
# Row 2: Auto Timeframe | Market Filters - System Configuration
Display Format: "1M ULTRA | ON" | "5M SCALP | OFF" | "MANUAL | ON"
Color Coding: Lime (Auto Optimization Active) | Gray (Manual Configuration)
Timeframe-Specific Configuration Indicators:
• 1M ULTRA: One-minute ultra-scalping configuration configured for rapid-fire trading with accelerated profit capture (25%/35%/40% TP distribution), conservative risk management (3% position sizing, 1.0% initial stops), and increased Smart Exit sensitivity (0.1 threshold, 20-bar consecutive limit).
• 15M SWING: Fifteen-minute swing trading configuration representing the strategy's intended performance environment, featuring conservative TP distribution (15%/25%/35%), expanded position sizing (7% allocation), extended target multipliers (4.0/8.0/12.0/18.0 ATR).
• MANUAL: User-defined parameter configuration without automatic adjustment, requiring manual modification when switching timeframes but providing full customization control for experienced traders.
Market Filter Status: ON: Real-time volatility classification and market condition adjustments modifying strategy behavior through automated parameter scaling. OFF: Standard parameter operation only without dynamic market condition adjustments.
# Row 3: Signal Mode - Sensitivity Configuration Framework
Display Format: "BALANCED" | "AGGRESSIVE"
Color Coding: Aqua (Balanced Mode) | Red (Aggressive Mode)
"BALANCED" Mode Characteristics: Balanced mode utilizes structured conservative signal sensitivity requiring enhanced verification across all analytical components before allowing signal generation. This rigorous configuration requires Medium Group scoring ≥5.5 points, Slow Group confirmation ≥3.5 points, and Fast Danger levels ≤2.0 points.
"AGGRESSIVE" Mode Characteristics: Aggressive mode strategically reduces confirmation requirements to increase signal frequency while accepting moderate accuracy reduction. Threshold requirements decrease to Medium Group ≥4.5 points, Slow Group ≥2.5 points, and Fast Danger ≤1.0 points.
# Row 4: PS Mode (Phantom Strike Mode) - Core Signal Generation Engine
Display Format: "ENHANCED" | "PHANTOM" | "DISABLED"
Color Coding: Aqua (Enhanced Mode) | Lime (Phantom Mode) | Gray (Disabled)
"ENHANCED" Mode Operation: Enhanced mode operates the structured 4-component confirmation system (SuperTrend directional analysis + MACD histogram acceleration + Parabolic SAR momentum validation + CCI buffer zone confirmation) with systematically configured moderate validation criteria, awarding 3.0 base points for signal strength calculation.
"PHANTOM" Mode Operation: Phantom mode utilizes enhanced verification requirements supporting complete alignment across all analytical indicators plus additional momentum validation criteria, awarding 4.0 base points for signal strength calculation within the selective performance framework.
# Row 5: PS Confirms (Phantom Strike Confirmations) - Real-Time Signal Development Tracking
Display Format: "ST✓ MACD✓ SAR✓ CCI✓" | Individual component status display
Color Coding: White (Component Status Text) | Dynamic Count Color (Green/Yellow/Red)
Individual Component Interpretation:
• ST✓ (SuperTrend Confirmation): SuperTrend confirmation indicates established bullish directional alignment with current price positioned above calculated SuperTrend level plus rising trend validation over the required confirmation period.
• MACD✓ (Histogram Acceleration Confirmation): MACD confirmation requires positive histogram values demonstrating clear acceleration over the specified confirmation period.
• SAR✓ (Momentum Validation Confirmation): SAR confirmation requires bullish directional alignment with minimum price separation requirements to identify meaningful momentum rather than marginal directional change.
• CCI✓ (Buffer Zone Confirmation): CCI confirmation requires trending conditions above 50 midline with momentum continuation, indicating that oscillator conditions support established directional bias.
# Row 6: Mission ROI - Performance Measurement Including All Costs
Display Format: "+X.XX%" | "-X.XX%" | "0.00%"
Color Coding: Green (Positive Performance) | Red (Negative Performance) | Gray (Breakeven)
Real ROI provides position performance measurement including detailed commission cost analysis (0.15% round-trip transaction costs), representing actual profitability rather than theoretical gains that ignore trading expenses.
# Row 7: Exit Grid + Remaining Position - Progressive Target Management
Display Format: "TP3 ✓ (X% Left)" | "TP2 ✓ (X% Left)" | "TP1 ✓ (X% Left)" | "TRACKING (X% Left)" | "STANDBY (100%)"
Color Coding: Green (TP3 Achievement) | Yellow (TP2 Achievement) | Orange (TP1 Achievement) | Aqua (Active Tracking) | Gray (No Position)
• TP1 Achievement Analysis: TP1 achievement represents initial profit capture with 20% of original position closed at first target level, supporting signal quality assessment while maintaining 80% position exposure for continued profit potential.
• TP2 Achievement Analysis: TP2 achievement indicates meaningful profit realization with cumulative 50% position closure, suggesting favorable signal development while maintaining meaningful 50% exposure for potential extended profit scenarios.
• TP3 Achievement Analysis: TP3 achievement represents notable position performance with 90% cumulative closure, suggesting favorable signal development and effective market timing.
# Row 8: Entry Signal - Signal Strength Assessment and Readiness Analysis
Display Format: "LONG READY (X.X/10)" | "SHORT READY (X.X/10)" | "WAITING (X.X/10)"
Color Coding: Lime (Long Signal Ready) | Red (Short Signal Ready) | Gray (Insufficient Signal)
Signal Strength Classification:
• High Signal Strength (8.0-10.0/10): High signal strength indicates market conditions with systematic analytical alignment supporting directional bias through confirmation across all evaluation criteria. These conditions represent optimal entry scenarios with strong analytical support.
• Strong Signal Quality (6.0-7.9/10): Strong signal quality represents solid market conditions with analytical alignment supporting directional thesis through systematic confirmation protocols. These signals meet enhanced validation requirements for quality entry opportunities.
• Moderate Signal Strength (4.5-5.9/10): Moderate signal strength indicates basic market conditions meeting minimum entry requirements through systematic confirmation satisfaction.
# Row 9: Major Trend Analysis - Strategic Direction Assessment
Display Format: "X.X% STRONG BULL" | "X.X% BULL" | "X.X% BEAR" | "X.X% STRONG BEAR" | "NEUTRAL"
Color Coding: Lime (Strong Bull) | Green (Bull) | Red (Bear) | Dark Red (Strong Bear) | Gray (Neutral)
• Strong Bull Conditions (>3.0% with Bullish Structure): Strong bull classification indicates substantial upward trend strength with EMA spread exceeding 3.0% combined with favorable bullish structure alignment. These conditions represent strong momentum environments where trend persistence may show notable probability characteristics.
• Standard Bull Conditions (1.5-3.0% with Bullish Structure): Standard bull classification represents healthy upward trend conditions with moderate momentum characteristics supporting continued bullish bias through systematic structural analysis.
# Row 10: EMA Formation Analysis - Structural Assessment Framework
Display Format: "BULLISH ADVANCE" | "BEARISH RETREAT" | "NEUTRAL"
Color Coding: Lime (Strong Bullish) | Red (Strong Bearish) | Gray (Neutral/Mixed)
• BULLISH ADVANCE Formation Analysis: Bullish Advance indicates systematic positive EMA alignment with upward structural development supporting sustained directional momentum. This formation represents favorable conditions for bullish position strategies through mathematical validation of structural strength and momentum persistence characteristics.
• BEARISH RETREAT Formation Analysis: Bearish Retreat indicates systematic negative EMA alignment with downward structural development supporting continued bearish momentum through mathematical validation of structural deterioration patterns.
# Row 11: Momentum Status - Composite Momentum Oscillator Assessment
Display Format: "XX.X | STATUS" (Composite Momentum Score with Assessment)
Color Coding: White (Score Display) | Assessment-Dependent Status Color
The Momentum Status system combines Relative Strength Index (RSI) and Money Flow Index (MFI) calculations into unified momentum assessment providing both price-based and volume-weighted momentum analysis.
• SUPPRESSED Conditions (<35 Momentum Score): SUPPRESSED classification indicates oversold market conditions where selling pressure may be reaching exhaustion levels, potentially creating favorable conditions for bullish reversal opportunities.
• ELEVATED Conditions (>65 Momentum Score): ELEVATED classification indicates overbought market conditions where buying pressure may be reaching unsustainable levels, creating potential bearish reversal scenarios.
# Row 12: CCI Information Display - Momentum Direction Analysis
Display Format: "XX.X | UP" | "XX.X | DOWN"
Color Coding: Lime (Bullish Momentum Trend) | Red (Bearish Momentum Trend)
The CCI Information Display showcases the CCI SMART system incorporating Arnaud Legoux Moving Average (ALMA) preprocessing combined with rational approximation of the hyperbolic tangent (TANH) function to achieve modified signal processing compared to traditional CCI implementations.
CCI Value Interpretation:
• Extreme Bullish Territory (>80): CCI readings exceeding +80 indicate extreme bullish momentum conditions with potential overbought characteristics requiring careful evaluation for continued position holding versus profit-taking consideration.
• Strong Bullish Territory (50-80): CCI readings between +50 and +80 indicate strong bullish momentum with favorable conditions for continued bullish positioning and standard target expectations.
• Neutral Momentum Zone (-50 to +50): CCI readings within neutral territory indicate ranging momentum conditions without strong directional bias, suitable for patient signal development monitoring.
• Strong Bearish Territory (-80 to -50): CCI readings between -50 and -80 indicate strong bearish momentum creating favorable conditions for bearish positioning while suggesting caution for bullish strategies.
• Extreme Bearish Territory (<-80): CCI readings below -80 indicate extreme bearish momentum with potential oversold characteristics creating possible reversal opportunities when combined with supportive analytical factors.
# Row 13: SAR Network - Multi-Component Momentum Analysis
Display Format: "X.XX% | BULL STRONG ↗INF" | Complex Multi-Component Analysis
Color Coding: Lime (Bullish Strong) | Green (Bullish Moderate) | Red (Bearish Strong) | Orange (Bearish Moderate) | White (Inflection Priority)
SAR Distance Percentage Analysis: The distance percentage component measures price separation from SAR level as percentage of current price, providing quantification of momentum strength through mathematical price relationship analysis.
SAR Strength Classification Framework:
• STRONG Momentum Conditions (>75% of Strength Range): STRONG classification indicates significant momentum conditions with price-SAR separation exceeding 75% of calculated strength range, representing notable directional movement with sustainability characteristics.
• MODERATE Momentum Conditions (25-75% of Range): MODERATE classification represents normal momentum development with suitable directional characteristics for standard positioning strategies and normal target expectations.
• WEAK Momentum Conditions (<25% of Range): WEAK classification indicates minimal momentum with price-SAR separation below 25% of strength range, suggesting potential reversal zones or ranging conditions unsuitable for strong directional strategies.
Inflection Detection System:
• Bullish Inflection (↗INF): Bullish inflection detection identifies moments when SAR momentum transitions from declining to rising through systematic rate-of-change analysis over 5-period lookback periods. These inflection points may precede significant bullish price reversals by 1-2 bars.
• Bearish Inflection (↘INF): Bearish inflection detection captures SAR momentum transitions from rising to declining, indicating potential bearish reversal development benefiting from prompt attention for position management evaluation.
# Row 14: VWAP Context Analysis - Institutional Volume-Weighted Price Reference
Display Format: "Daily: XXXX.XX (+X.XX%)" | "N/A (Index/Futures)"
Color Coding: Lime (Above VWAP Premium) | Red (Below VWAP Discount) | Gray (Data Unavailable)
Volume-Weighted Average Price (VWAP) provides institutional-level price reference showing mathematical average price where significant volume has transacted throughout the specified period. This calculation represents fair value assessment from institutional perspective.
• Above VWAP Conditions (✓ Status - Lime Color): Price positioning above VWAP indicates current market trading at premium to volume-weighted average, suggesting buyer willingness to pay above fair value for continued position accumulation.
• Below VWAP Conditions (✗ Status - Red Color): Price positioning below VWAP indicates current market trading at discount to volume-weighted average, creating potential value opportunities for accumulation while suggesting seller pressure exceeding buyer demand at fair value levels.
# Row 15: TP SL System Configuration - Dynamic vs Static Target Management
Display Format: "DYNAMIC ATR" | "STATIC %"
Color Coding: Aqua (Dynamic ATR Mode) | Yellow (Static Percentage Mode)
• DYNAMIC ATR Mode Analysis: Dynamic ATR mode implements systematic volatility-adaptive target management where all profit targets and stop losses automatically scale based on current market volatility through ATR (Average True Range) calculations. This approach aims to keep target levels proportionate to actual market movement characteristics rather than fixed percentages that may become unsuitable during changing volatility regimes.
• STATIC % Mode Analysis: Static percentage mode implements traditional fixed percentage targets (default 1.0%/2.5%/3.8%/4.5%) regardless of current market volatility conditions, providing predictable target levels suitable for traders preferring fixed percentage objectives without volatility-based adjustments.
# Row 16: TP Sequence Progression - Systematic Achievement Tracking
Display Format: "1 ✓ 2 ✓ 3 ○" | "1 ○ 2 ○ 3 ○" | Progressive Achievement Display
Color Coding: White text with systematic achievement progression
Status Indicator: ✓ (Achievement Confirmed) | ○ (Target Not Achieved)
• Complete Achievement Sequence (1 ✓ 2 ✓ 3 ✓): Complete sequence achievement represents significant position performance with systematic profit realization across all primary target levels, indicating favorable signal quality and effective market timing.
• Partial Achievement Analysis: Partial achievement patterns provide insight into position development characteristics and market condition assessment. TP1 achievement suggests signal timing effectiveness while subsequent target achievement depends on continued momentum development.
• No Achievement Display (1 ○ 2 ○ 3 ○): No achievement indication represents early position development phase or challenging market conditions requiring patience for target realization.
# Row 17: Mission Duration Tracking - Time-Based Position Management
Display Format: "XX/XXX" (Current Bars/Maximum Duration Limit)
Color Coding: Green (<50% Duration) | Orange (50-80% Duration) | Red (>80% Duration)
• Normal Duration Periods (Green Status <50%): Normal duration indicates position development within expected timeframes based on signal characteristics and market conditions, representing healthy position progression without time pressure concerns.
• Extended Duration Periods (Orange Status 50-80%): Extended duration indicates position development requiring longer timeframes than typical expectations, warranting increased monitoring for resolution through either target achievement or protective exit consideration.
• Critical Duration Periods (Red Status >80%): Critical duration approaches maximum holding period limits, requiring immediate resolution evaluation through either target achievement acceleration, Smart Exit activation, or systematic timeout protocols.
# Row 18: Last Exit Analysis - Historical Exit Pattern Assessment
Display Format: Exit Reason with Color-Coded Classification
Color Coding: Lime (TP Exits) | Red (Critical Exits) | Yellow (Stop Losses) | Purple (Smart Low) | Orange (Timeout/Sustained)
• Profit-Taking Exits (Lime/Green): TP1/TP2/TP3/Final Target exits indicate position management with systematic profit realization suggesting signal quality and strategy performance.
• Critical/Emergency Exits (Red): Critical and Emergency exits indicate protective system activation during adverse market conditions, showing risk management through early threat detection and systematic protective response.
• Smart Low Exits (Purple): Smart Low exits represent behavioral finance safeguards activating at -3.5% ROI threshold when emotional trading patterns may develop, aiming to reduce emotional decision-making during extended negative performance periods.
# Row 19: Fast Danger Assessment - Immediate Threat Detection System
Display Format: "X.X/10" (Danger Score out of 10)
Color Coding: Green (<3.0 Safe) | Yellow (3.0-5.0 Moderate) | Red (>5.0 High Danger)
The Fast Danger Assessment system provides real-time evaluation of immediate market threats through six independent measurement systems: SAR distance deterioration, momentum reversal detection, extreme CCI readings, volatility spike analysis, price action intensity, and combined threat evaluation.
• Safe Conditions (Green <3.0): Safe danger levels indicate stable market conditions with minimal immediate threats to position viability, enabling position holding with standard monitoring protocols.
• Moderate Concern (Yellow 3.0-5.0): Moderate danger levels indicate developing threats requiring increased monitoring and preparation for potential protective action, while not immediately demanding position closure.
• High Danger (Red >5.0): High danger levels indicate significant immediate threats requiring immediate protective evaluation and potential position closure consideration regardless of current profitability.
# Row 20: Holding Confidence Evaluation - Position Viability Assessment
Display Format: "X.X/10" (Confidence Score out of 10)
Color Coding: Green (>6.0 High Confidence) | Yellow (3.0-6.0 Moderate Confidence) | Red (<3.0 Low Confidence)
Holding Confidence evaluation provides systematic assessment of position viability through analysis of trend strength maintenance, formation quality persistence, momentum sustainability, and overall market condition favorability for continued position development.
• High Confidence (Green >6.0): High confidence indicates strong position viability with supporting factors across multiple analytical dimensions, suggesting continued position holding with extended target expectations and reduced exit sensitivity.
• Moderate Confidence (Yellow 3.0-6.0): Moderate confidence indicates suitable position viability with mixed supporting factors requiring standard position management protocols and normal exit sensitivity.
• Low Confidence (Red <3.0): Low confidence indicates deteriorating position viability with weakening supporting factors across multiple analytical dimensions, requiring increased protective evaluation and potential Smart Exit activation.
# Row 21: Volatility | Market Status - Volatility Environment & Market Filter Status
Display Format: "NORMAL | NORMAL" | "HIGH | HIGH VOL" | "EXTREME | NEWS FILTER"
Color Coding: White (Information display)
Volatility Classification Component (Left Side):
- DEAD: ATR ratio <0.8x average, minimal price movement requiring careful timing
- LOW: ATR ratio 0.8-1.2x average, stable conditions enabling position increase potential
- NORMAL: ATR ratio 1.2-1.8x average, typical market behavior with standard parameters
- HIGH: ATR ratio 1.8-2.5x average, elevated movement requiring increased caution
- EXTREME: ATR ratio >2.5x average, chaotic conditions triggering enhanced protection
Market Status Component (Right Side):
- NORMAL: Standard market conditions, no special filters active
- HIGH VOL: High volatility detected, position reduction and exit sensitivity increased
- EXTREME VOL: Extreme volatility confirmed, enhanced protective protocols engaged
- NEWS FILTER: Major economic event detected, 80% position reduction active
- GAP MODE: Weekend gap identified, increased caution until normal flow resumes
Combined Status Interpretation:
- NORMAL | NORMAL: Suitable trading conditions, standard strategy operation
- HIGH | HIGH VOL: Elevated volatility confirmed by both systems, 40% position reduction
- EXTREME | EXTREME VOL: High volatility warning, 70% position reduction active
📊VISUAL SYSTEM INTEGRATION
Chart Analysis & Market Visualization
CCI SMART Buffer Zone Visualization System - Dynamic Support/Resistance Framework
Dynamic Zone Architecture: The CCI SMART buffer system represents systematic visual integration creating adaptive support and resistance zones that automatically expand and contract based on current market volatility through ALMA-smoothed true range calculations. These dynamic zones provide real-time support and resistance levels that adapt to evolving market conditions rather than static horizontal lines that quickly become obsolete.
Adaptive Color Intensity Algorithm: The buffer visualization employs color intensity algorithms where transparency and saturation automatically adjust based on CCI momentum strength and directional persistence. Stronger momentum conditions produce more opaque visual representations with increased saturation, while weaker momentum creates subtle transparency indicating reduced prominence or significance.
Color Interpretation Framework for Strategic Decision Making:
-Intense Blue/Purple (High Opacity): Strong CCI readings exceeding ±80 with notable momentum strength indicating support/resistance zones suitable for increased position management decisions
• Moderate Blue/Purple (Medium Opacity): Standard CCI readings ranging ±40-80 with normal momentum indicating support/resistance areas for standard position management protocols
• Faded Blue/Purple (High Transparency): Weak CCI readings below ±40 with minimal momentum suggesting cautious interpretation and conservative position management approaches
• Dynamic Color Transitions: Automatic real-time shifts between bullish (blue spectrum) and bearish (purple spectrum) based on CCI trend direction and momentum persistence characteristics
CCI Inflection Circle System - Momentum Reversal Identification: The inflection detection system creates distinctive visual alerts through dual-circle design combining solid cores with transparent glow effects for enhanced visibility across different chart backgrounds and timeframe configurations.
Inflection Circle Classification:
• Neon Green Circles: CCI extreme bullish inflection detected (>80 threshold) with systematic core + glow effect indicating bearish reversal warning for position management evaluation
• Hot Pink Circles: CCI extreme bearish inflection detected (<-80 threshold) with dual-layer visualization indicating bullish reversal opportunity for strategic entry consideration
• Dual-Circle Design Architecture: Solid tiny core providing location identification with large transparent glow ensuring visibility without chart obstruction across multiple timeframe analyses
SAR Visual Network - Multi-Layer Momentum Display Architecture
SAR Visualization Framework: The SAR visual system implements structured multi-layer display architecture incorporating trend lines, strength classification markers, and momentum analysis through various visual elements that automatically adapt to current momentum conditions and strength characteristics.
SAR Strength Visual Classification System:
• Bright Triangles (High Intensity): Strong SAR momentum exceeding 75% of calculated strength range, indicating significant momentum quality suitable for increased positioning considerations and extended target scenarios
• Standard Circles (Medium Intensity): Moderate SAR momentum within 25-75% strength range, representing normal momentum development appropriate for standard positioning approaches and regular target expectations
• Faded Markers (Low Intensity): Weak SAR momentum below 25% strength range, suggesting caution and conservative positioning during minimal momentum conditions with increased exit sensitivity
⚠️IMPORTANT DISCLAIMERS AND RISK WARNINGS
Past Performance Limitations: The backtesting results presented represent hypothetical performance based on historical market data and do not guarantee future results. All trading involves substantial risk of loss. This strategy is provided for informational purposes and does not constitute financial advice. No trading strategy can guarantee 100% success or eliminate the risk of loss.
Users must approach trading with appropriate caution, never risking more than they can afford to lose.
Users are responsible for their own trading decisions, risk management, and compliance with applicable regulations in their jurisdiction.
[Support and Resistance with Trend Lines] with Backtest (TSO) with Backtest (TSO)
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This indicator serves as a comprehensive full-cycle trading system, providing alerts at each stage of the trade, from opening to closure. The algorithm uses most recent and historical S&R (Support and Resistance) levels with most recent and historical Trend Lines, generating signals for trades when Breaks/Bounces occur (Trade Open Signal triggers can be configured via very customizable indicator Input "Signal Trigger Matrix" settings). With signal for trade open, TP (Take Profit and SL (Stop Loss) levels are calculated as well and marked on the chart including alerts for each action of the trade. The indicator offers a variety of automated approaches for TP (Take-Profit) and SL (Stop-Loss) settings. These include static current/historical S&R (Support and Resistance) levels or S&R/Trend Lines dynamic breaks for TP (Take-Profit) and various SL (Stop-Loss) approaches, including ATR Trailing SL, opposite S&R (Support and Resistance) levels SL, opposite Trend Lines SL and more. This diverse set of tools ensure flexibility in tailoring TP (Take-Profit) and SL (Stop-Loss) parameters to different market conditions, contributing to a more adaptive and robust trading system. Additionally, a series of signal analysis tools, including market sentiment, candle bar analysis, divergence, and volume, enhance the precision of trading signals.
* Works with popular timeframes: 1M, 3M, 5M, 15M, 30M, 45M, 1H.
* Works well with Futures and Indices, can be used to trade Stocks, Crypto and FOREX.
* Includes LIVE alert/labels Breakouts and Bounces signal trigger feature, which can be used for scalping (NOTE: This approach cannot be backtested).
* Every action of the trade is calculated on a confirmed closed candle bar state (barstate.isconfirmed), so the indicator will never repaint.
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Indicator examples:
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Strategy Config: SRTL_MES_15M3Y_EODoff_ALL
Here is a nice example of MES (Micro E-Mini S&P 500 Index Futures) configuration, which uses S&R (Support and Resistance) breakouts as signal trigger with Elliot Wave confirmation and previous S&R historical levels for TP (Take-Profit).
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An example of an intraday Tesla trade. Also the green arrows will be displayed IMMEDIATELY when Breakout/Reverse Bounce occurs (same an Alert will be triggered immediately).
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Trading open/close/TP/SL labels, plots and colors explanations:
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>>> S&R (Support and Resistance) levels/lines: orange - support, blue - resistance (can be hidden).
>>> Trend Lines: yellow - support, green - resistance (can be hidden).
>>> Blue labels show resistance breakouts and bounces, light-blue - bullish, dark-blue - bearish
>>> Yellow labels show resistance breakouts and bounces, light-yellow - bullish, dark-yellow - bearish
>>> Green/Red arrows on top/bottom of candle bar will show LIVE breakouts (if turned on)
>>>>> LONG open: green "house" looking arrow below candle bar.
>>>>> SHORT open: red "house" looking arrow above candle bar.
>>>>> LONG/SHORT take-profit target: green/red circles (multi-profit > TP2/3/4/5 smaller circles).
>>>>> LONG/SHORT stop-loss target: green/red + crosses.
>>>>> LONG/SHORT take-profit hits: green/red diamonds.
>>>>> LONG/SHORT stop-loss hits: green/red X-crosses.
>>>>> LONG/SHORT EOD (End of Day | Intraday style) close (profitable trade): green/red squares.
>>>>> LONG/SHORT EOD (End of Day | Intraday style) close (loss trade): green/red PLUS(+)-crosses.
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STATS TABLE ///////////////////////////////////////////////////////////////
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>>> Trading STATS table on the chart showing current trade direction, Last TP (Take-Profit) Taken, Current Trade PL (profit/loss in price difference from trade open to the very current state).
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CUSTOM TRADING DATE RANGE /////////////////////////////////////////////////
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>>>>> This feature can be used to manually set indicator trading range from and to a specific date and time. NOTE: This is not intended for a very long date range backtesting, utilize TradingView Strategy Tester for that.
* Use TradingView “Strategy Tester” to see Backtesting results
NOTE: If Strategy Tester does not show any results with Date Ranged fully unchecked, there may be an issue where a script opens a trade, but there is not enough TradingView power to set the Take-Profit and Stop-Loss and somehow an open trade gets stuck and never closes, so there are “no trades present”. In such case - manually check “Start”/“End” dates or use “Deep Backtesting” feature!
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INTRADAY ACTIVE TRADING SESSION CONFIGURATION /////////////////////////////
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>>> Regional Active Trading Session Hours Schedule: If selected - trades will only open during regional active trading session, if 'OFF', there will be no trading schedule and trades will open 24/7.
>>> EOD(End of Day) Close - On/Off: Close the trade if it's still open at the end of active trading session (on the very last candle bar). NOTE: If no region is selected at 'Regional Active Trading Session Schedule' - there will be no EOD(End of Day) Close and trades will run overnight until either SL(Stop-Loss) or TP(Take-Profit) is hit!
>>>>> EOD(End of Day) Close - 1 candle bar before last: This is specifically for stocks as while usually indices can be closed 15minutes after the market closes, for stocks - the last candle bar closes at the same time with the market active trading session, which if closed - trades can't be closed until next day/session! Enable this setting for the trade to close/alert 1 candle bar before the last one, so there is still time to close the trade at the Broker (NOTE: depending on the timeframe, 1 candle bar can be: 15sec, 30sec, 1min, 3min, 5min, 15min, 30min, 45min, 1h).
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SIGNAL TRIGGER MATRIX ////////////////////////////////////////////////
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>>> Trading Engine: This setting turns on TradingView Strategy trading engine for backtesting.
>>> Market Session Only: With this setting turned on, all signal trigger Breaks/Bounces will be hidden during Pre/Post market time.
>>> Plot S&R Levels/Lines: Plot S&R (Support and Resistance) on chart. Note: historical levels/lines will only be plotted if hit (Break/Bounce).
>>> Plot Trend Lines Levels/Lines: Plot Trend Lines levels/lines on chart. Note: historical levels/lines will only be plotted if hit (Break/Bounce).
>>> Use S&R Current Levels | Use S&R Historical Levels | Use Trend Lines Current Levels | Use Trend Lines Historical Levels |: Choose which levels should be used for Breaks/Bounces to be captured on. If all triggers are turned on/checked - whatever happens 1st wins the trigger.
>>> Breaks | Bounces: 'Breaks': Turn on Breaks through levels/lines signal trigger. | 'Bounces': Turn on Bounces off levels/lines signal trigger.
>>> Signal: Regular | Signal: S&R Combo | Signal: TL Combo | Signal: S&R + TL Combo | Signal: Repeat Action |: Trade open signal trigger execution approach MATRIX (If 1 or more turned on at the same time - whatever comes first will be the trade signal trigger). 'Regular': A single Break/Bounce must occur on a closed bar for signal trigger. 'S&R Combo': A combination of 2 Current + Historical S&R (Support and Resistance) Break/Bounce must happen in the same direction on same bar for signal trigger. 'TL Combo': A combination of 2 Current + Historical Trend Lines Break/Bounce must happen in the same direction on same bar for signal trigger. 'S&R + TL Combo': a combination of ANY S&R and Trend Line Break/Bounce must happen in the same direction on same bar for signal trigger. 'Repeat Action': Initial and then confirmation (2nd/3rd/etc. consecutive occurence) Break/Bounce must occur on same level/line for signal trigger.
>>> Historical - Look Back (# of days): How far back (in # of days) will historical S&R/Trend Lines will be used for Trade Open signals/TP/SL/etc.
>>> Historical - Look Back Invalidation (# of days): IF THERE IS TOO MUCH HISTORICAL LEVELS/LINES ON CHART - LOWER THIS SETTING + MAKE SURE IT'S SMALLER THAN 'Historical - Look Back (# of days)'. With big Look back period (5+ days) - it can become very messy with too many historical levels/lines. To clear oldest historical levels/lines - set Look Back Invalidation # of days to less than Historical Look Back # of days. (After X # of Look Back Invalidation days - older levels/lines will become invalidated and no longer used for opening trades/TP (Take-Profit)/SL (Stop-Loss), while newer levels/lines will still be discovered.
>>> S&R/Trend Lines - Support/Resistance combined into 1 entity: Every level or a line becomes simply a level or a line, regardless if it originally was a support or resistance. By default, depending on the level/line originally being support or resistance - the signal direction will be such as: Resistance is broken > LONG / bounced > SHORT; Support is broken > SHORT / bounced > LONG; with this setting on, either level or line can be both broken or bounced off in ANY direction, trade open direction will depend on current market sentiment only.
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S&R CONFIGURATION ////////////////////////////////////////////////
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>>> S&R Search - Left Bars (current): This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with below - Right Bars).
>>> S&R Search - Right Bars (current): This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with above - Left Bars).
>>> S&R Search - Custom Resolution (current): This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action.
>>> S&R Search - Left Bars (historical): This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with below - Right Bars).
>>> S&R Search - Right Bars (historical): This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with above - Left Bars).
>>> S&R Search - Custom Resolution (historical): This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action.
>>> S&R - Historical S&R Levels - Extend to the right: Extend all S&R lines to the right.
>>> S&R (Current/Historical) - Live Breakout/Bounce - ALERT/SHOW: NOTE: Alert wlil trigger immediately at price Breaking thru or Bouncing off level/line and an arrow above /below the bar will show the direction of breakout/bounce. If on that same live bar - price comes back causing the Breakout/Bounce become no longer valid - the arrow will disappear as the condition of the Break/Bounce will no longer be valid.
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TREND LINES CONFIGURATION ////////////////////////////////////////////////
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>>> Show: Trend Line development (where it 'did not exist' yet): It takes 2 pivots to develop a trend line, pivot is established at least 3 candle bars later from where the pivot is. With this setting turned on - it will plot dashed lines where trend lines originated connecting the 1st and 2nd pivot point up to where the trend line became established (where in reality you would now be able to draw a certain trend line). Established already generated trend line are plotted with a solid line.
>>> Trend Lines - Line Slope Confirmation: LONG breakout will only be shown if trend line is goind downslope \. SHORT breakout will only be shown if trend line is goind upslope /.
>>> Trend Lines - Search - Left Bars (current): This setting is for calculating optimal Trend Lines.
>>> Trend Lines - Search - Right Bars (current): This setting is for calculating optimal Trend Lines.
>>> Trend Lines - Custom Resolution (current): This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action.
>>> Trend Lines - Search - Left Bars (historical): This setting is for calculating optimal Trend Lines.
>>> Trend Lines - Search - Right Bars (historical): This setting is for calculating optimal Trend Lines.
>>> Trend Lines - Custom Resolution (historical): This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action.
>>> Trend Lines - Historical Trend Lines - Extend to the right: Extend all Trend Lines to the right.
>>> Trend Lines (Current/Historical) - Live Breakout/Bounce - ALERT/SHOW: NOTE: Alert will trigger immediately at price Breaking thru or Bouncing off level/line and an arrow above /below the bar will show the direction of breakout/bounce. If on that same live bar - price comes back causing the Breakout/Bounce become no longer valid - the arrow will disappear as the condition of the Break/Bounce will no longer be valid.
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TAKE-PROFIT/STOP-LOSS CONFIGURATION ///////////////////////////////////////
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>>> TP (Take-Profit) System: 'S&R Static Current/Historical': TP (Take-Profit) is calculated using current/historical S&R (Support & Resistance) levels at trade open and remains static. 'S&R/Trend Lines Dynamic Breaks': TP (Take-Profit) is fully dynamic and will be trigger at price above trade open price and with Breakout occurence (S&R or Trend Line current/historical breakout).
>>> TP (Take-Profit) # of targets: It is wise to divide the trade into several profit targets. With this setting - up to 5 TP (Take-Profit) targets can be approached. The trade will be equally divided up by the selected # of TP (Take-Profit) targets.
>>> SL (Stop-Loss) System: 'ATR-Trailing-SL': SL (Stop-Loss) is trail-following the ATR (Average True Range) line, NOTE: If at signal trigger, ATR will be against the trade direction - trade open signal will be skipped; 'S&R-Static-SL': SL (Stop-Loss) is set at trade open per optimal most recent S&R level and remains there until trade closes; 'TrendLines-Static-SL': SL (Stop-Loss) is set at trade open per optimal most recent trend line and remains there until trade closes; 'TrendLines-Dynamic-SL': SL (Stop-Loss) will be set per current opposite trend line and follow it until trade is open.; 'Oppos-Sig-Trd-in-Loss': SL (Stop-Loss) will trigger at opposite signal with trade currently at loss.
>>> SL (Stop-Loss) - On/Off: Without SL (Stop-Loss), unless EOD (End of Day) Close is turned on - there will be no SL (Stop-Loss) at all!
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MARKET SENTIMENT CONFIRMATION ///////////////////////////////////////
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>>> Market Sentiment: Signal is confirmed per Market Sentiment direction. If Market Sentiment is turned off - whatever signal comes 1st will be the trade open trigger.
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SIGNAL ANALYSIS AND CLEANUP ///////////////////////////////////////////////
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>>> Signal Cleanup - Bar Color: Include Bar Color (bullish/bearish) confirmation, LONG signal will only be opened if signal bar is green/bullish, SHORT if red/bearish.
>>> Signal Cleanup - Bar Directional Structure: Skip opposite bar structure types signals (For example: bearish green hammer).
>>> Signal Cleanup - Bar Doji Skip: Skip doji (indecisive) candles signals.
>>> Signal Cleanup - EWO (Elliott Wave Oscillator): Include EWO (Elliott Wave Oscillator), LONG will only be opened if EWO is bullish / SHORT if EWO is bearish.
>>> Signal Cleanup - VWAP (Volume-Weighted Average Price): Include VWAP (Volume-Weighted Average Price), LONG will only be opened if price is above VWAP / SHORT if price is below VWAP.
>>> Signal Cleanup - MA (Moving Average) Confirmation: Include MA (Moving Average), LONG will only be opened if MA is bullish / SHORT if MA is bearish.
>>> Signal Cleanup - ATR (Average True Range): Include ATR (Average True Range) confirmation, LONG will only be opened if ATR is bullish / SHORT if ATR is bearish.
>>> Signal Cleanup - Divergence(RSI + MACD): Include Divergence (RSI + MACD ) confirmation, LONG will only be opened if Divergence is bullish / SHORT if Divergence is bearish.
>>> Signal Cleanup - Volume % Strength: Include Volume strength/percentage confirmation, LONG/SHORT will only be opened with strong Volume matching the signal direction | By default, strong Volume percentage is set to 150% and weak to 50%.
>>> Signal Cleanup - Volume Above Average: Include Volume Above Moving Average (Volume closing bar closes above volume moving average) confirmation, LONG/SHORT will only be opened with Volume above average - Volume closed bar color must match the closed price color (bullish/bearish direction) + Volume bar must be closed above volume MA line).
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TP System - VERY IMPORTANT INFO!
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"TP PERCENTAGE" - amount by which current trade/position needs to be reduced/partially closed/sold.
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TP System: Dynamic
"TP PERCENTAGE" - will always be the same amount (trade/position size divided by the # of take-profit(TP) targets) and percentage to be closed will always be of the ORIGINAL trade/position.
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TP System: Static
"TP PERCENTAGE" - will always be the same amount IF take-profit(TP) targets are hit 1-by-1 (TP1 > TP2 > TP3 > TP4 > TP5), otherwise it will vary and unless it is a 1st take-profit(TP1), the REMAINING trade/position size will always be smaller than original and therefore the percentage to be closed will always be of the REMAINING trade/position and NOT the original one!
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"TP PERCENTAGE" CheatSheet (these are the only percentages you may see)
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TP PERCENTAGE---Close/Sell Amount-------------Example (trade size: 50 stocks)
20%-------------trade size * 0.2--------------50 * 0.2 = 10 stocks
25%-------------trade size * 0.25-------------50 * 0.25 = 12.5(~13) stocks
34%-------------trade size * 0.34-------------50 * 0.34 = 17 stocks
40%-------------trade size * 0.4--------------50 * 0.4 = 20 stocks
50%-------------trade size * 0.5--------------50 * 0.5 = 25 stocks
60%-------------trade size * 0.6--------------50 * 0.6 = 30 stocks
66%-------------trade size * 0.66-------------50 * 0.66 = 33 stocks
75%-------------trade size * 0.75-------------50 * 0.75 = 37.5(~38) stocks
80%-------------trade size * 0.8--------------50 * 0.8 = 40 stocks
100%------------trade size--------------------50 = 50 stocks
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If for any reason a portion of the current/remaining trade closed at such occurrence was slightly wrong, it is not an issue. Such occurrences are rare and with slight difference in partial TP closed is not significant to overall performance of our algorithms.
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Alert Settings (you don’t have to touch this section unless you will be using TradingView alerts through a Webhook to use with trading bot)
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Here is how a LONG OPEN alert looks like.
NOTE: Each label , , etc. is customizable, you can change the text of it within indicator Input settings.
ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
COIN: BTCUSD
TIMEFRAME: 15M
LONG: OPEN
ENTRY: 20000
TP1: 20500
TP2: 21000
TP3: 21500
TP4: 22500
TP5: 23500
SL: 19000
Leverage: 0
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Here is how a TP1 alert will look with 5 TPs breakdown of the trade.
NOTE1: Next to TP1 taken it will show at which price it was triggered.
NOTE2: Next to "TP Percentage" it shows how much of the CURRENT/ACTIVE/REMAINING trade needs to be closed.
NOTE2: If TP2/3/4/5 comes before TP1 - the alert will tell you exactly how many percent of the trade needs to be closed!
ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
COIN: BTCUSD
TIMEFRAME: 15M
LONG: TP1
TP1: 20500
TP Percentage: 20%
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Here is how an alert will look for LONG - STOP-LOSS.
ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
COIN: BTCUSD
TIMEFRAME: 15M
ENTRY: 20000
LONG: SL
SL: 19000
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Here is how an alert will look for LONG - EOD (End of Day) In Profit close.
ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
COIN: BTCUSD
TIMEFRAME: 15M
LONG: EOD-Close (profit)
ENTRY: 20000
EOD-Close: 21900
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Adding Alerts in TradngView
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-Add indicator to chart and make sure the correct strategy is configured (check Backtesting results)
-Right-click anywhere on the TradingView chart
-Click on Add alert
-Condition: Select this indicator by it’s name
-Immediately below, change it to "alert() function calls only", as other wise there will be 2 alerts for every alert!
-Expiration: Open-ended (that may require higher tier TradingView account, otherwise the alert will need to be occasionally re-triggered)
-Alert name: Whatever you desire
-Hit “Create”
-Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
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Good Luck! (NOTE: Trading is very risky, past performance is not necessarily indicative of future results, so please trade responsibly!)
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NOTE: There seems to be a strange glitch when strategy is running live, it will show "double-take" take-profits labels on the chart. This is not affecting the script logic and backtesting results, if you simply change the timeframe real quick to something else then back - it will no longer show the duplicate orders... this must be some sort of a glitch as every alert was thoroughly tested to make sure everything is working!
GOD Scalper TURBO Pattern Recognition & Price Action🚀 Introducing: 👑Scalper TURBO👑 – Your Ultimate TradingView Companion for High-Speed Scalping & Auto-Trading!
Trade Smarter. Trade Faster. Trade Automated.
The world's fastest scalper robot with the ability to analyze and trade in second-by-second time frames with an incredible 900% monthly profitability.
🔥 What is 👑Scalper TURBO👑?
Scalper TURBO is a high-performance Pine Script 5 strategy designed for aggressive and intelligent scalping on TradingView. It combines breakout detection, multi-indicator confirmation, time-based filtering, and full PineConnector integration for automated live trading with MetaTrader 5 (MT5). Whether you want to backtest, trade manually, or connect with MT5 via PineConnector – this tool is your edge.
⚙️ Key Features
✅ Fast Execution Logic — Uses real-time tick data with calc_on_every_tick=true
✅ EMA, SMA, RSI & ATR Filters — Combines trend, momentum, and volatility in one strategy
✅ Breakout Strategy — Trades breakouts above resistance or below support
✅ Multi-Time Filter Zones — 4 customizable intraday trading windows to avoid choppy hours
✅ PineConnector-Ready — Seamless alerts for auto-trading with MT5, customizable lot sizes
✅ Dynamic Stop Loss / Take Profit — Based on ATR multipliers for adaptable risk
✅ Trail Stop Support — Optional trailing stop-loss system
✅ Built-in Risk Labels — Live performance and signal info right on the chart
✅ Minimal Resource Usage — Pre-computed constants and cached indicators for speed
✅ Recommended Use Cases:
XAUUSD / Gold scalping (default)
1m to 5m charts (for high-frequency setups)
Live auto-trading via PineConnector
Backtesting and optimization with historical data
🧠 Pro Tips
For best results, run it during high-volume market hours (enable time filters like London/NY session).
Use trailing stop in volatile assets for maximizing gains.
Integrate with PineConnector Pro for seamless MT5 execution.
Combine with your own overlays or confirmation tools.
📣 Join the Movement
💬 Created by @DrFXAi – follow on TradingView for updates, improvements, and more elite scripts.
🚀 Ready to Automate Your Edge?
📌 Add 👑Scalper TURBO👑 to your chart today and take control of your scalping game with automation, speed, and intelligence!
💬 Need help with access, backtesting, or have any questions about our indicators?
Our support team is available 24/7 on Telegram.
Just reach out through the link below: 👉 t.me
Pullback_Power [JackTz]Welcome to Pullback_Power
Pullback_Power is a scalping strategy designed to capitalize on market retracements while incorporating unique dynamic features to enhance profitability.
Calculation
Pullback_Power purely uses moving averages to calculate both entry and exits. Exits can also be set to fixed percentages for both take profit and stop loss.
How the Strategy Works
Statistics show that markets normally do a recovery after each drop. Crypto markets can easily drop up to 20% within a few hours and then do a complete or partial recovery. Pullback_Power utilizes this known pattern alongside pyramiding. The strategy aims to catch one or more entries when the price drops, hoping to make profits when the market recovers from the drop. The fixed take profit and stop loss can be used to define your risk management, while the dynamic exit opportunity is riskier but provides the ability to stay in the trade longer while it recovers. Pullback_Power can make up to four entries. This means it utilizes pyramiding to spread out the entry points, but every exit is a full exit. It is not possible to partially exit.
Utility
Pullback_Power is a scalping strategy suitable for traders who operate with small trades and don't want to stay in the market for too long. Pullback_Power offers precise signals with no repainting. The strategy thrives in volatility, so crypto pairs might yield the best results, although this strategy can be adapted to work on all pairs and markets.
How to Automate It
Pullback_Power utilizes the standard placeholders of strategies on TradingView. This enables the trader to add every data point into a webhook, making it fully flexible to suit every trader's needs. To automate, create an alert, set the webhook URL, and add the JSON body needed for the webhook. An example of a simple JSON webhook with some of the standard strategy placeholders:
{
"side": "{{strategy.order.action}}",
"symbol": "{{ticker}}",
"amount": "{{strategy.order.contracts}}"
}
Read about all the standard placeholders that you can use here: TradingView - Standard strategy placeholders
Originality
Pullback_Power is unique in its ability to create precise signals without repainting while maintaining a solid approach to the pullback strategy. Its simplicity not only makes the strategy easy to use and understand but also highly effective. The simplicity reduces inputs, eliminating overfitting and limits each input to avoid incorrect usage. Many times, default settings are enough to achieve good backtesting results on almost all pairs available. Pullback_Power also differs from many other strategies by its solid code, which enhances performance and provides more reliable backtesting. The clean code increases the resilience and precision of the entries, making it less prone to errors.
Many pullback/scalping strategies normally only works on specific scopes of timeframes or pairs. Pullback_Power can easily be adapted to work on almost every scenario. The biggest change needed is the length of the moving average. The lower the timeframe, the higher a length is needed for proper results. I.e. on a 2H timeframe a length of 3 can yield good results. On a 5min timeframe the length might need to be as high as 70.
How to Use
To use Pullback_Power, add the script to your trading chart. By default, Pullback_Power opens four orders to optimize trade opportunities with a default fee value set at 0.1%. You can change these default settings in the Settings window under the Properties tab. To tailor Pullback_Power to your individual trading style, navigate to the Settings under the Input tab. Here you can configure various inputs to fit your trading style.
- Backtest settings , Start Date:
Defines the date of when the calculation starts. Use this to set the date of when the first trade could potentially emit.
- Backtest settings , End Date:
Defines the date of when the calculation ends. If there are any open trades after this date the close calculations are still live. It only makes sure that new orders cannot be opened after this date.
- Backtest settings , Only trade on weekdays:
This is a toggle you can enable or disable. If enabled it only allows new entries to happen during the normal week days, meaning Monday, Tuesday, Wednesday, Thursday and Friday.
Disable this to enable the script to open trades on all 7 days of the week.
- Open settings , Use dynamic long positions:
This toggle allows you to enable or disable the pullback level calculations after first trade.
If enabled, the calculations of level 2, 3 and 4 continues to happen after each bar, making the levels follow the price with the moving averages calculations.
If disabled, the calculations of the levels stop after the first trade. This means that the levels calculation at the point of the first trade stay fixed until all trades are closed.
You can see the difference of the green lines on the chart when you toggle this flag.
- Open settings , Data type:
This is the bar data used for the moving average calculation when opening trades. The possible data types are Open, High, Low, Close, HL2, HLC3, OHLC4, OC2 and HC2.
- Open settings , Source type:
This is the source used to calculate the moving average. The types available are: SMA, PCMA, EMA, WMA, DEMA, ZLEMA and HMA.
- Open settings , Length:
This is the length used for the moving average calculations. 3 means it takes the last 3 bars of historical data for the calculation.
- Open settings , Offset:
This defines if the calculation should use an offset for the historical data. This does not use a look-forward feature, but a look-backward feature. To prevent any possible repaints the offset can only be positive, not negative.
For instance, if the length is 3 and the offset is 0 the calculation is made from the last 3 bars, making it bar1, bar2 and bar3. If the length is 3 and the offset is 1 the calculation is made from bar2, bar3, and bar4 – offsetting the calculation by 1 bar.
- Leverage settings , Leverage liquidation (1-125):
The script itself does not handle any custom leverage calculation – this must be done in the Properties tabs and increasing the order size.
This setting is made to test a possible liquidation event if using leverage.
By setting this to higher than 1, a red line is visible after the first trade on the chart. This indicates the liquidation price.
If this setting is set to 25, the script will calculate the liquidation price from a x25 leverage. If this price is hit, the scripts stops emitting any orders and the background turns red.
You can use this to test if your settings could handle a certain level of leverage.
- Pullback settings , Pullback 1, 2, 3 and 4:
Each of these settings defines the entry price of each pullback level. If Pullback 1 is set to -6 it means that the moving average calculation should be 6% lower than the actual price.
The same logic applies to Pullback 2, 3 and 4.
Setting any level to 0 will disable the level – eliminating any orders to emit on that level.
This can be used to change the level of pyramiding down from 4 if needed.
If you do this, remember to also change the order size and the pyramiding value in the Properties tab accordingly.
- Close settings , Use dynamic TP and SL:
If enabled, script will exit all orders using the same but separate algorithm for moving averages. This enables the user to define if you want the orders to be closed if the price level of this moving average is hit. The price level for this calculation is visible on the chart by the blue line.
Although you can change the length and offset, as described underneath, this calculation uses the same data and source type defined in the Open settings area.
- Close settings , Length, Close:
This is the length used for the closing moving average calculations. 3 means it takes the last 3 bars of historical data for the calculation.
- Close settings , Offset, Close:
This defines if the calculation for the closing moving average should use an offset for the historical data. Just as the offset used for opening order, this does not use a look-forward feature, but a look-backward feature. To prevent any possible repaints the offset can only be positive, not negative.
For instance, if the length is 3 and the offset is 0 the calculation is made from the last 3 bars, making it bar1, bar2 and bar3. If the length is 3 and the offset is 1 the calculation is made from bar2, bar3, and bar4 – offsetting the calculation by 1 bar.
- Close settings , Use TakeProfit:
This toggle enables/disables a fixed take profit percentage.
- Close settings , TP %:
This sets the wanted % to reach on a take profit. This setting is ignored if the toggle above is disabled.
- Close settings , Use StopLoss:
This toggle enables/disables a fixed stop loss percentage.
- Close settings , SL %:
This sets the wanted % to reach on a stop loss. This setting is ignored if the toggle above is disabled.
Exit on Same Bar as Entry
By default, the script doesn't emit any exit orders on the same bar as the first entry order. Enable "Recalculation: After order is filled" to change this behavior.
Troubleshooting
While Pullback_Power is designed to provide reliable trading signals, you may encounter rare issues. One such issue could be receiving an error message stating "can't open orders with 0 or negative qty." If you encounter this error, it is likely due to specific conditions on the selected timeframe. To resolve this issue, change the timeframe on your trading chart.
Underlying Principles and Value Proposition
Pullback_Power leverages moving averages and volatility behavior to identify market retracements and capitalize on them. The strategy is rooted in the understanding that markets often experience temporary reversals or "pullbacks" before resuming their primary trend. By identifying these pullbacks and entering trades at opportune moments, Pullback_Power aims to capture quick profits from short-term market movements.
The dynamic and fixed calculations of Take Profit (TP) and Stop Loss (SL) levels enhances risk management, ensuring that potential losses are controlled while allowing room for profits to grow. The adaptive approach using the moving averages considers current market conditions, making the strategy flexible and responsive to changing volatility.
Moreover, Pullback_Power's non-repainting nature ensures the reliability of its signals, eliminating hindsight bias and providing traders with actionable insights based on real-time market data.
The strategy's simplicity and effectiveness make it accessible for traders of all experience levels. Whether you're a beginner looking to start scalping or an experienced trader seeking to diversify your trading approach, Pullback_Power offers a balanced blend of simplicity and sophistication to help you navigate the markets with confidence.
By focusing on clear, transparent principles and offering practical tools for risk management, Pullback_Power aims to provide tangible value to traders, empowering them to make informed decisions and optimize their trading outcomes.
Thank you for choosing Pullback_Power. I wish you successful trading!
ROC_PA_Strategy (A3Sh)Hi there,
An experiment with rate of price change in combination with price averaging. The strategy is inspired by Price Change Scalping Strategy developed by Prosum Solutions and Scalping Dips On Trend Strategy developed by Coinrule. Both strategies look at the percentage of price change to open orders.
When the price drops beyond a specified percentage, a order entry threshold (yellow line) is setup. The order entry threshold is only active for a specified number of bars and will de-activate when not crossed within the specified number of bars. When the price drops further and crosses the entry threshold with a minimum of a specified percentage, a long position is entered. The same reverse logic (white line) used to close the long position.
I first ran the strategy without stop loss and take profit and that worked very well in a bullish market. I later added stop loss and take profit and that seems to work better in a side ways or bearisch market. There are a lot of tweaking possibilities in the settings.
In the settings you can specify the percentage of portfolio to use for each trade to spread the risk and for each order a trading fee of 0.075% is calculated.
Dskyz (DAFE) Quantum Sentiment Flux - Beginners Dskyz (DAFE) Quantum Sentiment Flux - Beginners:
Welcome to the Dskyz (DAFE) Quantum Sentiment Flux - Beginners , a strategy and concept that’s your ultimate wingman for trading futures like MNQ, NQ, MES, and ES. This gem combines lightning-fast momentum signals, market sentiment smarts, and bulletproof risk management into a system so intuitive, even newbies can trade like pros. With clean DAFE visuals, preset modes for every vibe, and a revamped dashboard that’s basically a market GPS, this strategy makes futures trading feel like a high-octane sci-fi mission.
Built on the Dskyz (DAFE) legacy of Aurora Divergence, the Quantum Sentiment Flux is designed to empower beginners while giving seasoned traders a lean, sentiment-driven edge. It uses fast/slow EMA crossovers for entries, filters trades with VIX, SPX trends, and sector breadth, and keeps your account safe with adaptive stops and cooldowns. Tuned for more action with faster signals and a slick bottom-left dashboard, this updated version is ready to light up your charts and outsmart institutional traps. Let’s dive into why this strat’s a must-have and break down its brilliance.
Why Traders Need This Strategy
Futures markets are a wild ride—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional games that can wreck unprepared traders. Beginners often get lost in complex systems or burned by impulsive trades. The Quantum Sentiment Flux is the antidote, offering:
Dead-Simple Setup: Preset modes (Aggressive, Balanced, Conservative) auto-tune signals, risk, and sizing, so you can trade without a quant degree.
Sentiment Superpower: VIX filter, SPX trend, and sector breadth visuals keep you aligned with market health, dodging chop and riding trends.
Ironclad Safety: Tighter ATR-based stops, 2:1 take-profits, and preset cooldowns protect your capital, even in chaotic sessions.
Next-Level Visuals: Green/red entry triangles, vibrant EMAs, a sector breadth background, and a beefed-up dashboard make signals and context pop.
DAFE Swagger: The clean aesthetics, sleek dashboard—ties it to Dskyz’s elite brand, making your charts a work of art.
Traders need this because it’s a plug-and-play system that blends beginner-friendly simplicity with pro-level market awareness. Whether you’re just starting or scalping 5min MNQ, this strat’s your key to trading with confidence and style.
Strategy Components
1. Core Signal Logic (High-Speed Momentum)
The strategy’s engine is a momentum-based system using fast and slow Exponential Moving Averages (EMAs), now tuned for faster, more frequent trades.
How It Works:
Fast/Slow EMAs: Fast EMA (Aggressive: 5, Balanced: 7, Conservative: 9 bars) and slow EMA (12/14/18 bars) track short-term vs. longer-term momentum.
Crossover Signals:
Buy: Fast EMA crosses above slow EMA, and trend_dir = 1 (fast EMA > slow EMA + ATR * strength threshold).
Sell: Fast EMA crosses below slow EMA, and trend_dir = -1 (fast EMA < slow EMA - ATR * strength threshold).
Strength Filter: ma_strength = fast EMA - slow EMA must exceed an ATR-scaled threshold (Aggressive: 0.15, Balanced: 0.18, Conservative: 0.25) for robust signals.
Trend Direction: trend_dir confirms momentum, filtering out weak crossovers in choppy markets.
Evolution:
Faster EMAs (down from 7–10/21–50) catch short-term trends, perfect for active futures markets.
Lower strength thresholds (0.15–0.25 vs. 0.3–0.5) make signals more sensitive, boosting trade frequency without sacrificing quality.
Preset tuning ensures beginners get optimized settings, while pros can tweak via mode selection.
2. Market Sentiment Filters
The strategy leans hard into market sentiment with a VIX filter, SPX trend analysis, and sector breadth visuals, keeping trades aligned with the big picture.
VIX Filter:
Logic: Blocks long entries if VIX > threshold (default: 20, can_long = vix_close < vix_limit). Shorts are always allowed (can_short = true).
Impact: Prevents longs during high-fear markets (e.g., VIX spikes in crashes), while allowing shorts to capitalize on downturns.
SPX Trend Filter:
Logic: Compares S&P 500 (SPX) close to its SMA (Aggressive: 5, Balanced: 8, Conservative: 12 bars). spx_trend = 1 (UP) if close > SMA, -1 (DOWN) if < SMA, 0 (FLAT) if neutral.
Impact: Provides dashboard context, encouraging trades that align with market direction (e.g., longs in UP trend).
Sector Breadth (Visual):
Logic: Tracks 10 sector ETFs (XLK, XLF, XLE, etc.) vs. their SMAs (same lengths as SPX). Each sector scores +1 (bullish), -1 (bearish), or 0 (neutral), summed as breadth (-10 to +10).
Display: Green background if breadth > 4, red if breadth < -4, else neutral. Dashboard shows sector trends (↑/↓/-).
Impact: Faster SMA lengths make breadth more responsive, reflecting sector rotations (e.g., tech surging, energy lagging).
Why It’s Brilliant:
- VIX filter adds pro-level volatility awareness, saving beginners from panic-driven losses.
- SPX and sector breadth give a 360° view of market health, boosting signal confidence (e.g., green BG + buy signal = high-probability trade).
- Shorter SMAs make sentiment visuals react faster, perfect for 5min charts.
3. Risk Management
The risk controls are a fortress, now tighter and more dynamic to support frequent trading while keeping accounts safe.
Preset-Based Risk:
Aggressive: Fast EMAs (5/12), tight stops (1.1x ATR), 1-bar cooldown. High trade frequency, higher risk.
Balanced: EMAs (7/14), 1.2x ATR stops, 1-bar cooldown. Versatile for most traders.
Conservative: EMAs (9/18), 1.3x ATR stops, 2-bar cooldown. Safer, fewer trades.
Impact: Auto-scales risk to match style, making it foolproof for beginners.
Adaptive Stops and Take-Profits:
Logic: Stops = entry ± ATR * atr_mult (1.1–1.3x, down from 1.2–2.0x). Take-profits = entry ± ATR * take_mult (2x stop distance, 2:1 reward/risk). Longs: stop below entry, TP above; shorts: vice versa.
Impact: Tighter stops increase trade turnover while maintaining solid risk/reward, adapting to volatility.
Trade Cooldown:
Logic: Preset-driven (Aggressive/Balanced: 1 bar, Conservative: 2 bars vs. old user-input 2). Ensures bar_index - last_trade_bar >= cooldown.
Impact: Faster cooldowns (especially Aggressive/Balanced) allow more trades, balanced by VIX and strength filters.
Contract Sizing:
Logic: User sets contracts (default: 1, max: 10), no preset cap (unlike old 7/5/3 suggestion).
Impact: Flexible but risks over-leverage; beginners should stick to low contracts.
Built To Be Reliable and Consistent:
- Tighter stops and faster cooldowns make it a high-octane system without blowing up accounts.
- Preset-driven risk removes guesswork, letting newbies trade confidently.
- 2:1 TPs ensure profitable trades outweigh losses, even in volatile sessions like April 27, 2025 ES slippage.
4. Trade Entry and Exit Logic
The entry/exit rules are simple yet razor-sharp, now with VIX filtering and faster signals:
Entry Conditions:
Long Entry: buy_signal (fast EMA crosses above slow EMA, trend_dir = 1), no position (strategy.position_size = 0), cooldown passed (can_trade), and VIX < 20 (can_long). Enters with user-defined contracts.
Short Entry: sell_signal (fast EMA crosses below slow EMA, trend_dir = -1), no position, cooldown passed, can_short (always true).
Logic: Tracks last_entry_bar for visuals, last_trade_bar for cooldowns.
Exit Conditions:
Stop-Loss/Take-Profit: ATR-based stops (1.1–1.3x) and TPs (2x stop distance). Longs exit if price hits stop (below) or TP (above); shorts vice versa.
No Other Exits: Keeps it straightforward, relying on stops/TPs.
5. DAFE Visuals
The visuals are pure DAFE magic, blending clean function with informative metrics utilized by professionals, now enhanced by faster signals and a responsive breadth background:
EMA Plots:
Display: Fast EMA (blue, 2px), slow EMA (orange, 2px), using faster lengths (5–9/12–18).
Purpose: Highlights momentum shifts, with crossovers signaling entries.
Sector Breadth Background:
Display: Green (90% transparent) if breadth > 4, red (90%) if breadth < -4, else neutral.
Purpose: Faster breadth_sma_len (5–12 vs. 10–50) reflects sector shifts in real-time, reinforcing signal strength.
- Visuals are intuitive, turning complex signals into clear buy/sell cues.
- Faster breadth background reacts to market rotations (e.g., tech vs. energy), giving a pro-level edge.
6. Sector Breadth Dashboard
The new bottom-left dashboard is a game-changer, a 3x16 table (black/gray theme) that’s your market command center:
Metrics:
VIX: Current VIX (red if > 20, gray if not).
SPX: Trend as “UP” (green), “DOWN” (red), or “FLAT” (gray).
Trade Longs: “OK” (green) if VIX < 20, “BLOCK” (red) if not.
Sector Breadth: 10 sectors (Tech, Financial, etc.) with trend arrows (↑ green, ↓ red, - gray).
Placeholder Row: Empty for future metrics (e.g., ATR, breadth score).
Purpose: Consolidates regime, volatility, market trend, and sector data, making decisions a breeze.
- VIX and SPX metrics add context, helping beginners avoid bad trades (e.g., no longs if “BLOCK”).
Sector arrows show market health at a glance, like a cheat code for sentiment.
Key Features
Beginner-Ready: Preset modes and clear visuals make futures trading a breeze.
Sentiment-Driven: VIX filter, SPX trend, and sector breadth keep you in sync with the market.
High-Frequency: Faster EMAs, tighter stops, and short cooldowns boost trade volume.
Safe and Smart: Adaptive stops/TPs and cooldowns protect capital while maximizing wins.
Visual Mastery: DAFE’s clean flair, EMAs, dashboard—makes trading fun and clear.
Backtestable: Lean code and fixed qty ensure accurate historical testing.
How to Use
Add to Chart: Load on a 5min MNQ/ES chart in TradingView.
Pick Preset: Aggressive (scalping), Balanced (versatile), or Conservative (safe). Balanced is default.
Set Contracts: Default 1, max 10. Stick low for safety.
Check Dashboard: Bottom-left shows preset, VIX, SPX, and sectors. “OK” + green breadth = strong buy.
Backtest: Run in strategy tester to compare modes.
Live Trade: Connect to Tradovate or similar. Watch for slippage (e.g., April 27, 2025 ES issues).
Replay Test: Try April 28, 2025 NQ drop to see VIX filter and stops in action.
Why It’s Brilliant
The Dskyz (DAFE) Quantum Sentiment Flux - Beginners is a masterpiece of simplicity and power. It takes pro-level tools—momentum, VIX, sector breadth—and wraps them in a system anyone can run. Faster signals and tighter stops make it a trading machine, while the VIX filter and dashboard keep you ahead of market chaos. The DAFE visuals and bottom-left command center turn your chart into a futuristic cockpit, guiding you through every trade. For beginners, it’s a safe entry to futures; for pros, it’s a scalping beast with sentiment smarts. This strat doesn’t just trade—it transforms how you see the market.
Final Notes
This is more than a strategy—it’s your launchpad to mastering futures with Dskyz (DAFE) flair. The Quantum Sentiment Flux blends accessibility, speed, and market savvy to help you outsmart the game. Load it, watch those triangles glow, and let’s make the markets your canvas!
Official Statement from Pine Script Team
(see TradingView help docs and forums):
"This warning may appear when you call functions such as ta.sma inside a request.security in a loop. There is no runtime impact. If you need to loop through a dynamic list of tickers, this cannot be avoided in the present version... Values will still be correct. Ignore this warning in such contexts."
(This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.)
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
Created by Dskyz, powered by DAFE Trading Systems. Trade fast, trade bold.
MACD Aggressive Scalp SimpleComment on the Script
Purpose and Structure:
The script is a scalping strategy based on the MACD indicator combined with EMA (50) as a trend filter.
It uses the MACD histogram's crossover/crossunder of zero to trigger entries and exits, allowing the trader to capitalize on short-term momentum shifts.
The use of strategy.close ensures that positions are closed when specified conditions are met, although adjustments were made to align with Pine Script version 6.
Strengths:
Simplicity and Clarity: The logic is straightforward and focuses on essential scalping principles (momentum-based entries and exits).
Visual Indicators: The plotted MACD line, signal line, and histogram columns provide clear visual feedback for the strategy's operation.
Trend Confirmation: Incorporating the EMA(50) as a trend filter helps avoid trades that go against the prevailing trend, reducing the likelihood of false signals.
Dynamic Exit Conditions: The conditional logic for closing positions based on weakening momentum (via MACD histogram change) is a good way to protect profits or minimize losses.
Potential Improvements:
Parameter Inputs:
Make the MACD (12, 26, 9) and EMA(50) values adjustable by the user through input statements for better customization during backtesting.
Example:
pine
Copy code
macdFast = input(12, title="MACD Fast Length")
macdSlow = input(26, title="MACD Slow Length")
macdSignal = input(9, title="MACD Signal Line Length")
emaLength = input(50, title="EMA Length")
Stop Loss and Take Profit:
The strategy currently lacks explicit stop-loss or take-profit levels, which are critical in a scalping strategy to manage risk and lock in profits.
ATR-based or fixed-percentage exits could be added for better control.
Position Size and Risk Management:
While the script uses 50% of equity per trade, additional options (e.g., fixed position sizes or risk-adjusted sizes) would be beneficial for flexibility.
Avoid Overlapping Signals:
Add logic to prevent overlapping signals (e.g., opening a new position immediately after closing one on the same bar).
Backtesting Optimization:
Consider adding labels or markers (label.new or plotshape) to visualize entry and exit points on the chart for better debugging and analysis.
The inclusion of performance metrics like max drawdown, Sharpe ratio, or profit factor would help assess the strategy's robustness during backtesting.
Compatibility with Live Trading:
The strategy could be further enhanced with alert conditions using alertcondition to notify the trader of buy/sell signals in real-time.
TrippleMACDCryptocurrency Scalping Strategy for 1m Timeframe
Introduction:
Welcome to our cutting-edge cryptocurrency scalping strategy tailored specifically for the 1-minute timeframe. By combining three MACD indicators with different parameters and averaging them, along with applying RSI, we've developed a highly effective strategy for maximizing profits in the cryptocurrency market. This strategy is designed for automated trading through our bot, which executes trades using hooks. All trades are calculated for long positions only, ensuring optimal performance in a fast-paced market.
Key Components:
MACD (Moving Average Convergence Divergence):
We've utilized three MACD indicators with varying parameters to capture different aspects of market momentum.
Averaging these MACD indicators helps smooth out noise and provides a more reliable signal for trading decisions.
RSI (Relative Strength Index):
RSI serves as a complementary indicator, providing insights into the strength of bullish trends.
By incorporating RSI, we enhance the accuracy of our entry and exit points, ensuring timely execution of trades.
Strategy Overview:
Long Position Entries:
Initiate long positions when all three MACD indicators signal bullish momentum and the RSI confirms bullish strength.
This combination of indicators increases the probability of successful trades, allowing us to capitalize on uptrends effectively.
Utilizing Linear Regression:
Linear regression is employed to identify consolidation phases in the market.
Recognizing consolidation periods helps us avoid trading during choppy price action, ensuring optimal performance.
Suitability for Grid Trading Bots:
Our strategy is well-suited for grid trading bots due to frequent price fluctuations and opportunities for grid activation.
The strategy's design accounts for price breakthroughs, which are advantageous for grid trading strategies.
Benefits of the Strategy:
Consistent Performance Across Cryptocurrencies:
Through rigorous testing on various cryptocurrency futures contracts, our strategy has demonstrated favorable results across different coins.
Its adaptability makes it a versatile tool for traders seeking consistent profits in the cryptocurrency market.
Integration of Advanced Techniques:
By integrating multiple indicators and employing linear regression, our strategy leverages advanced techniques to enhance trading performance.
This strategic approach ensures a comprehensive analysis of market conditions, leading to well-informed trading decisions.
Conclusion:
Our cryptocurrency scalping strategy offers a sophisticated yet user-friendly approach to trading in the fast-paced environment of the 1-minute timeframe. With its emphasis on automation, accuracy, and adaptability, our strategy empowers traders to navigate the complexities of the cryptocurrency market with confidence. Whether you're a seasoned trader or a novice investor, our strategy provides a reliable framework for achieving consistent profits and maximizing returns on your investment.
The Flower - Multiple Strategy Options in OneStrategy Overview
This strategy code currently includes four separate strategies to be used to either aid in discretionary trading or to be used algorithmically through the third-party system Profitview (profitview.app). Support for Pineconnector for use with MetaTrader 4 is in the works. The strategies have been designed with cryptocurrency trading in mind, however, the fundamentals apply to other assets.
The four strategies currently included are labeled “TSI Cross” (the default setting), “Oscillator Bands”, “Scalping”, and “McG/MA Cross”. Detailed information for each independent strategy can be found below, including sample settings configurations for each. A dropdown menu to select the strategy can be found under the “Strategy Options” set of settings under the Input tab of the strategy settings menu.
Additionally, the option to receive only long or short signals can be found alongside the Strategy Choice menu.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly.
The only visuals associated with the strategy are two McGinley Dynamic lines, red (slow length) and green (fast length). These are relevant to the McGinley Cross strategy, but can be used alongside the other strategies if desired.
When viewing the backtesting data in the TradingView Strategy Tester, ensure that “use bar magnifier” is activated. This option can be found in the Properties tab of the strategy settings menu.
Profitview Settings
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. A sample of our Profitview syntax can be found below.
To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Strategy Choices
As mentioned above, this strategy code contains four separate strategy options. A detailed breakdown of each follows below:
Total Strength Index (TSI) Cross
This strategy option is the default choice. The main signal involved in this strategy is a crossover or crossunder of the TSI value line and TSI signal line, however, there are a few other signals involved in the creation of a long or short entry. In addition to the TSI, the strategy includes an Average Directional Index (ADX) threshold value, Jurik Volatility Bands (JVB), a Stoch RSI threshold, and an oscillator of choice in conjunction with a threshold of 0. This oscillator choice can be selected under the “Signal Options” menu in the Input tab of the strategy settings. The default oscillator is the Detrended Price Oscillator (DPO), though the option for Chande Momentum (CMO) or Rate of Change (RoC) are both viable for this strategy.
Individual settings for these can be found in the Input tab under “Oscillator Settings” (TSI, Stoch RSI, DPO, CMO, ROC), “Band/Channel Settings” (Jurik Volatility Bands Length/Smoothing), and “Directional Settings” (ADX Smoothing Long, DI Length Short, ADX Threshold).
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings -- DPO Length (21), DPO *not* centered, RSI (Stoch) Length (4), Stochastic Length (4), TSI Long Length (25), TSI Short Length (13), TSI Signal Length (13), K (3), D (3)
- Band/Channel Settings -- Jurik Volatility Bands Length (25), Jurik Volatility Bands Smoothing (5)
- Directional Settings – JVB Price Threshold (0), ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (23)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Oscillator Bands
This strategy involves the usage of bands or channels that use oscillators as a source input. The main signal for this strategy derives from a cross of the band or channel and a hline of 0. Additionally, this includes a “Directional Filter” and a “MA Filter”. The selections for all of these can be found in the “Signal Options” section of the Input tab.
First option is for Oscillator Choice and includes DPO, CMO, ROC, RSI, TSI, and the Jurik price line. The individual settings for these can be found in the “Oscillator Settings” section. Different channels can be selected for the upper or lower bands, though it is not necessary for them to differ. These current options include Bollinger Bands and Jurik Volatility Bands, the individual settings for each found in the “Band/Channel Settings” section. Next is the MA Filter, of which you can select SMA, EMA, SMMA, WMA, VWMA, KAMA, JMA, or McGinley Dynamic. All options for these settings can be found in the “MA Filter Settings” section. Lastly, the Directional Filters can be selected for either direction like the upper/lower band selection. These filters include the ADX, Bull-Bear Power (BBP), Parabolic SAR (PSAR), or Jurik.
Sample settings for WAVESUSDT using the 20M timeframe:
- Oscillator Choice – DPO (Length – 30, uncentered)
- Upper and Lower Band – JVB Upper/Lower (Jurik Volatility Bands Length – 25; Smoothing – 10)
- MA Filter – VWMA – (MA Length – 40; Source – Open)
- Directional Filter – ADX (ADX Smoothing Long – 14; DI Length Short – 5; ADX Threshold – 22)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Scalping
This strategy heavily relies on the usage of Parabolic SAR, accompanied by a “Directional Filter” (as discussed in the previous section) other than PSAR. This strategy can provide a higher frequency of trades as opposed to the other strategies available, however, it comes with slightly higher risk inherently. A riskier take profit/stop loss spread is recommended here, though risk should always be managed. The settings required for this strategy are all found under the “Directional Settings” section of the strategy inputs.
Sample settings for NEARUSDT using the 20M timeframe:
- Directional Filter set to ADX
- Directional Settings – ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (22), PSAR Start Value (0.02), PSAR Increment (0.005), PSAR Max Value (0.15), PSAR Source (Close)
- Take Profit/Stop Loss – 0.75% TP, 0.005% TTP, 1.5% SL
McGinley Cross
This strategy revolves around the crossing of two McGinley Dynamic lines of varying lengths alongside an ADX filter as well as a DPO filter. McGinley is used as opposed to a standard moving average cross strategy as it adjusts for shifts in market speed and can better gauge market trends. The McGinley length settings can be found with the “MA Filter” settings, labeled as Fast Length and Slow Length. The fast length number should be smaller than the slow length.
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings – DPO Length (30), uncentered
- MA Filter Settings – McGinley Fast Length (4), McGinley Slow Length (21)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.4% SL
Comprehensive Settings List
Date and Time: From date and to date, adjustable for backtesting purposes.
Signal Options:
Oscillator Choices: Chande Momentum Oscillator (CMO), Detrended Price Oscillator (DPO), Rate of Change (ROC), Relative Strength Index (RSI), True Strength Index (TSI), Jurik Volatility Bands Priceline (JVB) – *** for use with TSI Cross or Oscillator Bands strategies only ***
Upper and Lower Band/Channel Choices: Bollinger Bands (BB) or Jurik Volatility Bands (JVB) -- *** for use with Oscillator Bands strategy only ***
MA/McG Filter: SMA, EMA, RMA, WMA, VWMA, Kaufmann MA, Jurik MA, McGinley Dynamic -- *** for use with Oscillator Bands strategy only ***
Directional Filter Long/Short: Average Directional Index (ADX), Bull/Bear Power (BBP), Parabolic SAR (PSAR), Jurik -- *** for use with Oscillator Bands strategy only ***
Profitview Settings: *** For use with ProfitView extension only, otherwise ignore ***
Oscillator Settings: *** For use with TSI Cross, Oscillator Bands, and McGinley Cross strategies ***
CMO Length, CMO Source – for Chande Momentum Oscillator
DPO Length, DPO Centered – for Detrended Price Oscillator
RoC Length, RoC Source – for Rate of Change
RSI Length, RSI MA Length – for Relative Strength Index
RSI (Stoch) Length, Stochastic Length, Stoch RSI Source, K, D – for Stochastic RSI
TSI Long Length, TSI Short Length, TSI Signal Length – for True Strength Index
Band/Channel Settings: *** For use with Oscillator Bands strategy ***
Jurik Volatility Bands Length, Jurik Volatility Bands Smoothing – for Jurik Volatility Bands
Bollinger Band Length, Bollinger Band Multiplier – for Bollinger Bands
Directional Settings: *** For use with Scalping and Oscillator Bands strategies ***
JVB Price Threshold – for Jurik Volatility as a directional setting
ADX Smoothing Long, DI Length Short, ADX Threshold – for Average Directional Index
PSAR Start Value, PSAR Increment, PSAR Max Value, PSAR Source – for Parabolic SAR
MA Filter Settings: *** For use with Oscillator Bands and McGinley Cross strategies ***
McGinley Fast/Slow Length – for McGinley Dynamic
MA Length, MA Source, MA Offset – for any other moving average
TP and TTP / Stop Loss: *** For use with ALL strategies ***
Long/Short Take Profit % -- for standard take profit settings
Enable Trailing, Trailing Take Profit % -- for trailing settings
Stop Loss % -- for standard stop loss settings; trailing can be enabled or disabled for stop loss
Disclaimers:
Some open-source code has been included -- Jurik Volatility Bands (by "ProValueTrader") and Trailing Take Profit/Stop Loss code (by jason5480). Additional code was used from the TradingView built-ins.
These strategies do NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Invites to the strategy will only be disseminated to those with express consent and knowledge of the invite prior to the action itself.
EMA SCALPEUR SHORTI'm trying to find the best EMA's for scalpingm you are able to choose 2 differents EMAs for your enter and 2 differents EMAs for you exit.
It's putting entry and exit on the graph
DyorTool PremiumWhat is the DyorTool Suite?
It is a toolkit that helps the trader to trade the market emotionless, under any condition.
This package is made of 3 scripts :
DyorTool Premium
DyorTool Oscillator
DyorTool Dashboard
What indicators are in these scripts?
DyorTool Premium
DyorTool Algo which gives buy and sell signals : 4 setups. The stats shown in the picture is set with a leverage of 0.4 on each trade with the commission of Binance ( without reduction ).
Range : 4 setups
Ribbon : 4 setups
Aggressiv Scalping : Trend Following - low UT : 2 setups
EVWMA : 4 setups
Ping Pong scalping : 4 setups
Support Line : 4 setups
DyorTool Oscillator
DyorTool RSI : 8 setups
DyorTool Oscillator : 8 setups
Smart candle color : Filter noise of the market
DyorTool Dashboard
Allows the user to feel the market sentiment with a custom candle
Measure the volatility of the market
Show DyorTool Algo trend
Show the momentum trend and measure his evolution.
Smart Stop Loss and Leverage calculation in order to not get in a trade if you are late, or to protect your capital.
All these indicators allow users to :
Trade the market easier, within a clearly defined framework - range.
Detect macro trend and the nearby momentum
Get early in a trade by entering in a trade with one of the 42 setups explained.
Have realistic target profit
Protect your capital with a smart stop loss and calculate the leverage for a defined stop loss
Detect if the market is with or against you so you are not holding more than you should.
This package is unique in its kind and it is complete. You can either do scalping or day-trading with it.
There are many different indicators in it. And a formation is given to explain in detail each indicator. This formation is easy to understand.
As you saw, each indicator has its own setups. These setups are explained one by one, under what condition you can enter in a trade, how to do it, where to exit, what to understand about the market next.
There is no interpretation possible. You are either in a setup or in a waiting zone.
These indicators are self-sufficient. You don't have to use all of them, and not at the same time. You use the ones which fit you better.
TB!G-Scalp Strategy [Backtest]Scalping Crypto Assets Made Easy
TB!G-Scalp is a TradingView based alert and accompanying strategy PineV3 Script.
Backtest vs Realtime
When designing the algorithms for this strategy our focus was primarily on ease of use.This results in a beautiful yet easy to use scalping strategy. As input it takes a chart period and only one extra parameter for fine tuning. The backtest results are an accurate representation of it’s real-time behaviour.
What makes it tick?
Over the last 2 years we collected a lot of market data regarding Bull and Bear behaviours. This previous market behaviour echo’s into the current market trend.
By recognising these echo’s we are able to anticipate an upcoming micro reversal which eventually end up being a scalping strategy.
Interested
Access is provided to a limited amount of people and for the duration that is determined by it’s Alpha Decay Rate.
This ADR is expected to become problematic after 2.3 year of usage on a lot of 150 users.
Heaf Alqahtani Calling signalsA momentum-based intraday trading strategy designed for SPX and SPY options scalping. This script combines dynamic support/resistance detection, RSI-based reversal signals, and volume confirmation filters to generate high-probability call and put entries. Optimized for 1-minute charts with real-time alerts for precise execution. Ideal for traders who buy the dip and sell the rip.
Pro Reversal Strategie - FinalCore Functionality Description
The "Pro Reversal Strategy" script is a comprehensive and highly customizable trading system for TradingView. Its core idea is based on a mean-reversion strategy, which aims to capitalize on price extremes where the price is likely to revert to its statistical mean. This script ist full AI generated. There ist no support and no financial advice.
To identify entry points, the script combines classic indicators like the RSI (to detect overbought and oversold conditions) and Bollinger Bands (to measure volatility extremes).
However, the script's strength lies in its confluence logic: a simple RSI or Bollinger Band signal is not enough to trigger a trade. Instead, a series of filters are applied to enhance the quality of the trade signals. These include:
Trend Filter: Trades are only taken in the direction of the higher-level trend (defined by a 200-period Moving Average).
Volatility and Volume Filter: ADX and volume analysis ensure that the market has sufficient momentum for a move.
Market Structure Analysis: Concepts like Fair Value Gaps (FVG), liquidity zones, and the Volume Profile (VRVP/POC) are used to place trades in high-probability zones.
Momentum Filter: Special "Vector Candles" confirm the strength of buyers or sellers at the moment of the signal.
Furthermore, the script offers advanced features for risk and trade management, including automatic position sizing based on a percentage risk and dynamic exit strategies like a breakeven stop and a trailing stop-loss (Chandelier ATR).
A detailed info panel visualizes all key metrics in real-time directly on the chart. Thanks to its versatile configuration options, the script can be adapted for various trading styles, including swing trading, day trading, and scalping.
Core Strategies & Filters (English)
Here is a breakdown of the specific strategies and confirmation filters used within the script:
RSI Mean Reversion: Uses the Relative Strength Index (RSI) to identify overbought (> rsiSellShort) and oversold (< rsiBuyLong) conditions, which serve as the primary trigger for a potential price reversal.
Bollinger Bands (BB) Volatility Filter: Trades are confirmed when the price touches or exceeds the outer Bollinger Bands. This indicates a move to a statistical extreme in terms of volatility, reinforcing the reversal thesis.
Trend Filter (200 SMA): Ensures that long trades are only considered in a general uptrend (price > SMA 200) and short trades in a downtrend (price < SMA 200), preventing trades against the dominant market direction.
ADX Trend Strength Filter: Utilizes the Average Directional Index (ADX) to confirm that a market is trending with sufficient strength. Trades are filtered out during weak or non-trending phases (adx < adxThreshold).
Volume Profile (VRVP / POC): Analyzes volume at specific price levels to identify high-volume nodes (Point of Control - POC). This acts as a filter to avoid entering trades directly into a zone of strong support or resistance.
Vector Candle Filter: Identifies "Vector Candles" – large, high-volume candles that close strongly near their high (bullish) or low (bearish). This custom filter confirms strong conviction behind the initial reversal signal.
Market Structure (FVG & Liquidity): Incorporates advanced price action concepts. It looks for entries after a liquidity zone above a previous high/low has been tapped (Liquidity Grab) or when price enters a Fair Value Gap (FVG), adding a layer of institutional trading logic.
Chart Pattern Recognition: Optionally identifies classic chart patterns like "W-Patterns" (Double Bottom), "M-Patterns" (Double Top), and Ascending Triangles to provide additional visual confirmation for traders.
Position Sizing (Risk %): Automatically calculates the trade size based on a user-defined percentage of the total equity (riskPct) and the distance to the stop-loss, ensuring consistent risk management for every trade.
Dynamic Exit Management: Implements advanced exit strategies beyond a fixed take-profit. This includes moving the stop-loss to Breakeven after a certain risk-to-reward ratio is met and using a Trailing Stop-Loss (e.g., Chandelier ATR) to lock in profits as a trade develops.
Enhanced Range Filter Strategy with ATR TP/SLBuilt by Omotola
## **Enhanced Range Filter Strategy: A Comprehensive Overview**
### **1. Introduction**
The **Enhanced Range Filter Strategy** is a powerful technical trading system designed to identify high-probability trading opportunities while filtering out market noise. It utilizes **range-based trend filtering**, **momentum confirmation**, and **volatility-based risk management** to generate precise entry and exit signals. This strategy is particularly useful for traders who aim to capitalize on trend-following setups while avoiding choppy, ranging market conditions.
---
### **2. Key Components of the Strategy**
#### **A. Range Filter (Trend Determination)**
- The **Range Filter** smooths price fluctuations and helps identify clear trends.
- It calculates an **adjusted price range** based on a **sampling period** and a **multiplier**, ensuring a dynamic trend-following approach.
- **Uptrends:** When the current price is above the range filter and the trend is strengthening.
- **Downtrends:** When the price falls below the range filter and momentum confirms the move.
#### **B. RSI (Relative Strength Index) as Momentum Confirmation**
- RSI is used to **filter out weak trades** and prevent entries during overbought/oversold conditions.
- **Buy Signals:** RSI is above a certain threshold (e.g., 50) in an uptrend.
- **Sell Signals:** RSI is below a certain threshold (e.g., 50) in a downtrend.
#### **C. ADX (Average Directional Index) for Trend Strength Confirmation**
- ADX ensures that trades are only taken when the trend has **sufficient strength**.
- Avoids trading in low-volatility, ranging markets.
- **Threshold (e.g., 25):** Only trade when ADX is above this value, indicating a strong trend.
#### **D. ATR (Average True Range) for Risk Management**
- **Stop Loss (SL):** Placed **one ATR below** (for long trades) or **one ATR above** (for short trades).
- **Take Profit (TP):** Set at a **3:1 reward-to-risk ratio**, using ATR to determine realistic price targets.
- Ensures volatility-adjusted risk management.
---
### **3. Entry and Exit Conditions**
#### **📈 Buy (Long) Entry Conditions:**
1. **Price is above the Range Filter** → Indicates an uptrend.
2. **Upward trend strength is positive** (confirmed via trend counter).
3. **RSI is above the buy threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **📉 Sell (Short) Entry Conditions:**
1. **Price is below the Range Filter** → Indicates a downtrend.
2. **Downward trend strength is positive** (confirmed via trend counter).
3. **RSI is below the sell threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **🚪 Exit Conditions:**
- **Stop Loss (SL):**
- **Long Trades:** 1 ATR below entry price.
- **Short Trades:** 1 ATR above entry price.
- **Take Profit (TP):**
- Set at **3x the risk distance** to achieve a favorable risk-reward ratio.
- **Ranging Market Exit:**
- If ADX falls below the threshold, indicating a weakening trend.
---
### **4. Visualization & Alerts**
- **Colored range filter line** changes based on trend direction.
- **Buy and Sell signals** appear as labels on the chart.
- **Stop Loss and Take Profit levels** are plotted as dashed lines.
- **Gray background highlights ranging markets** where trading is avoided.
- **Alerts trigger on Buy, Sell, and Ranging Market conditions** for automation.
---
### **5. Advantages of the Enhanced Range Filter Strategy**
✅ **Trend-Following with Noise Reduction** → Helps avoid false signals by filtering out weak trends.
✅ **Momentum Confirmation with RSI & ADX** → Ensures that only strong, valid trades are executed.
✅ **Volatility-Based Risk Management** → ATR ensures adaptive stop loss and take profit placements.
✅ **Works on Multiple Timeframes** → Effective for day trading, swing trading, and scalping.
✅ **Visually Intuitive** → Clearly displays trade signals, SL/TP levels, and trend conditions.
---
### **6. Who Should Use This Strategy?**
✔ **Trend Traders** who want to enter trades with momentum confirmation.
✔ **Swing Traders** looking for medium-term opportunities with a solid risk-reward ratio.
✔ **Scalpers** who need precise entries and exits to minimize false signals.
✔ **Algorithmic Traders** using alerts for automated execution.
---
### **7. Conclusion**
The **Enhanced Range Filter Strategy** is a powerful trading tool that combines **trend-following techniques, momentum indicators, and risk management** into a structured, rule-based system. By leveraging **Range Filters, RSI, ADX, and ATR**, traders can improve trade accuracy, manage risk effectively, and filter out unfavorable market conditions.
This strategy is **ideal for traders looking for a systematic, disciplined approach** to capturing trends while **avoiding market noise and false breakouts**. 🚀
Fibonacci-Only Strategy V2Fibonacci-Only Strategy V2
This strategy combines Fibonacci retracement levels with pattern recognition and statistical confirmation to identify high-probability trading opportunities across multiple timeframes.
Core Strategy Components:
Fibonacci Levels: Uses key Fibonacci retracement levels (19% and 82.56%) to identify potential reversal zones
Pattern Recognition: Analyzes recent price patterns to find similar historical formations
Statistical Confirmation: Incorporates statistical analysis to validate entry signals
Risk Management: Includes customizable stop loss (fixed or ATR-based) and trailing stop features
Entry Signals:
Long entries occur when price touches or breaks the 19% Fibonacci level with bullish confirmation
Short entries require Fibonacci level interaction, bearish confirmation, and statistical validation
All signals are visually displayed with color-coded markers and dashboard
Trading Method:
When a triangle signal appears, open a position on the next candle
Alternatively, after seeing a signal on a higher timeframe, you can switch to a lower timeframe to find a more precise entry point
Entry signals are clearly marked with visual indicators for easy identification
Risk Management Features:
Adjustable stop loss (percentage-based or ATR-based)
Optional trailing stops for protecting profits
Multiple take-profit levels for strategic position exit
Customization Options:
Timeframe selection (1m to Daily)
Pattern length and similarity threshold adjustment
Statistical period and weight configuration
Risk parameters including stop loss and trailing stop settings
This strategy is particularly well-suited for cryptocurrency markets due to their tendency to respect Fibonacci levels and technical patterns. Crypto's volatility is effectively managed through the customizable stop-loss and trailing-stop mechanisms, making it an ideal tool for traders in digital asset markets.
For optimal performance, this strategy works best on higher timeframes (30m, 1h and above) and is not recommended for low timeframe scalping. The Fibonacci pattern recognition requires sufficient price movement to generate reliable signals, which is more consistently available in medium to higher timeframes.
Users should avoid trading during sideways market conditions, as the strategy performs best during trending markets with clear directional movement. The statistical confirmation component helps filter out some sideways market signals, but it's recommended to manually avoid ranging markets for best results.
ninja strategyThe ninja strategy is 3-minute scalping.
It takes profits from very short term ups and downs.
TICK strategy for SPY optionsImportant notes:
1. This strategy is designed for same day SPY option scalping. All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 6 months of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000. Pyramiding is set to 3.
2. This strategy works better with non-extended market data.
3. This strategy is mainly developed for SPY trading on 5 min chart, it probably will not be very profitable with other tickers or time frame without tweaking all the parameters first.
4. This strategy will work with QQQ as well, but please adjust the profit multiplier to match the P/L of QQQ options.
How it works:
When trading the indices, many rely on the TICK for market directions. This strategy is a trend following strategy that uses a combination of conditions using the following indicators:
- TICK
- RSI
- VIX volatility index
- EMA
For entries, the conditions are:
1. TICK moving average crossover with a delayed signal line
2. Bullish or bearish RSI signal, RSI > 50 for bullish, < 50 for bearish
3. VIX must be above a certain threshold to take advantage of high market volatility
4. Price must be on top of EMA line for long, and below for short
For exits, there are 3 scenarios:
1. Stop loss set by a percentage of the daily ATR value
2. Trend changes on the TICK and the RSI
3. Bearish or bullish divergence on price with TICK
This strategy automatically signal to close all trades at 3:50 pm EST at the end of the day.
Extras:
- There is an option to show P/L for reinvesting profits
Enjoy~!!! Let's all make $$$
