Recovery Adaptive Strategy [Starbots]

6 jam lalu

🔁 Recovery Adaptive Strategy [Starbots]
Recovery Adaptive Strategy [Starbots] is an advanced, single-position trading strategy designed for professional traders who require adaptive exposure control, dynamic profit targeting, and rule-based recovery mechanics in high-volatility market environments.

The strategy applies a structured loss-streak framework where position sizing and take-profit objectives evolve systematically based on prior trade outcomes, while maintaining strict one-position execution at all times.

🧠 Strategic Framework
This strategy is built around a controlled adaptive execution model:
Only one position is active at any time
Each closed trade directly influences the parameters of the next entry
After a losing trade:
Position size scales according to a defined factor
Take-profit expands proportionally using a configurable multiplier
After a winning trade:
All parameters reset to their base configuration
Scaling progression is capped via a configurable maximum step limit

The methodology is designed to efficiently capitalize on expansion phases, volatility impulses, and directional inefficiencies, making it particularly suitable for high-volatility instruments and regimes.

⚙️ Adaptive Position Management
Position Sizing Modes
Percentage of Equity
Fixed Base Currency Amount (USDT / USD / EUR, etc.)
Each subsequent step applies a configurable size multiplier, enabling precise control over exposure progression across loss streaks.

🎯Dynamic Take-Profit Scaling
Take-profit levels increase automatically with each scaling step
A dedicated TP multiplier allows fine-tuning of profit expansion behavior
All targets are recalculated and updated dynamically while positions are open
Execution Control
Single-position logic (no grid, no concurrent hedging)
Optional forced exit and full reset upon reaching the maximum scaling step
Bar-confirmed execution to avoid signal repainting

📈 Signal Generation & Market Filters
The strategy supports multiple professional-grade entry models, selectable via settings:
MACD (12,26,9)
DMI (14)
RSI (70 / 30)
Stochastic (14,3,3)
Bollinger Bands + RSI
Market Structure (BOS / CHoCH)

Additional execution layers include:
Higher-timeframe signal evaluation
Volatility-based trade filtering
EMA trend alignment
Flat-market detection (optional)

The strategy is optimized for active, volatile markets, where price expansion and follow-through are frequent.

📊 Institutional-Style Analytics & Visualization
Integrated analytics provide full transparency into strategy behavior:
Adaptive Scaling Table
Position size per step
Take-profit expansion per step
Loss-streak hit distribution
On-Chart Execution Labels
Equity Usage Overview
Monthly & Yearly Performance Calendar
Backtest vs. Leverage Projection Dashboard
All dashboards and visual components are optional and configurable.

🧩 Intended Use
This strategy is designed for:
Advanced discretionary traders
Systematic traders
Quantitative research and optimization
High-volatility instruments and environments

It emphasizes structure, adaptability, and execution discipline, rather than static position sizing or fixed targets.

6 jam lalu

Nota Keluaran

An optimizer companion script is now available for this strategy.

https://www.tradingview.com/script/xcSlkdjO-Recovery-Adaptive-Optimizer-Starbots/