Seeking Quant Developer to Optimize XAUUSD Trading Bot – Reduce Drawdown & Improve Risk Management
I’m looking for an experienced algorithmic trading developer to optimize a gold (XAUUSD) trading bot that operates exclusively during the Sydney session. The current bot has shown strong profitability (+65% return on 100K capital) but suffers from high drawdown (-142%) and inconsistent risk management.
Your mission: Refine the strategy to maintain profitability while drastically reducing risk exposure.
Key Objectives
✅ Reduce maximum drawdown (Current: -142% → Target: 30%)
✅ Improve Profit Factor (Current: 1.22 → Target: 1.5)
✅ Enhance Win Rate (Current: 46.67% → Target: 55%)
✅ Implement dynamic risk management (ATR-based stop-loss, position sizing)
✅ Optimize for Sydney session volatility (low liquidity, specific price action patterns)
✅ Backtest & validate improvements (5+ years of XAUUSD data, walk-forward testing)
Available Data & Tools
Full trade history (300+ trades, entry/exit logic, P&L breakdown)
Current bot code (Specify language: MQL4/MQL5/Python)
Backtest reports (MetaTrader 4/5, TradingView, or custom framework)
Initial capital: $100,000 | Current return: +65%
Required Skills (Mandatory)
✔ Proven experience in forex/gold algorithmic trading (GitHub portfolio, live results, or client references).
✔ Proficiency in:
MQL4/MQL5 (MetaTrader) or Python (Backtrader, Zipline, QuantConnect)
Statistical analysis (Sharpe Ratio, Sortino, Max Drawdown, Monte Carlo simulations)
Risk management techniques (Kelly Criterion, volatility-based position sizing)
Sydney session specifics (low liquidity, Asian market influence on XAUUSD)
✔ Ability to explain changes clearly (technical reports, commented code).
✔ Familiarity with gold (XAUUSD) price drivers (USD strength, geopolitical events, safe-haven flows).
Deliverables
Comprehensive Audit Report
Identify why drawdown is excessively high (e.g., lack of stop-loss, over-leveraging).
Detect overfitting/curve-fitting biases in the current strategy.
Optimized Trading Logic
Revised entry/exit rules tailored for Sydney session.
Dynamic risk management (e.g., ATR-based stops, time-based filters).
Updated Bot Code
Fully commented, ready for live deployment.
Compatible with your platform: MT4/MT5/custom.
Backtest Comparison
Before/after performance metrics (Profit Factor, Win Rate, Drawdown).
Walk-forward testing on 2018–2023 XAUUSD data.
User Documentation
Optimal parameters for different market conditions.
Guide on adjusting settings for changing volatility.
Apply Now
Apply Now
Your mission: Refine the strategy to maintain profitability while drastically reducing risk exposure.
Key Objectives
✅ Reduce maximum drawdown (Current: -142% → Target: 30%)
✅ Improve Profit Factor (Current: 1.22 → Target: 1.5)
✅ Enhance Win Rate (Current: 46.67% → Target: 55%)
✅ Implement dynamic risk management (ATR-based stop-loss, position sizing)
✅ Optimize for Sydney session volatility (low liquidity, specific price action patterns)
✅ Backtest & validate improvements (5+ years of XAUUSD data, walk-forward testing)
Available Data & Tools
Full trade history (300+ trades, entry/exit logic, P&L breakdown)
Current bot code (Specify language: MQL4/MQL5/Python)
Backtest reports (MetaTrader 4/5, TradingView, or custom framework)
Initial capital: $100,000 | Current return: +65%
Required Skills (Mandatory)
✔ Proven experience in forex/gold algorithmic trading (GitHub portfolio, live results, or client references).
✔ Proficiency in:
MQL4/MQL5 (MetaTrader) or Python (Backtrader, Zipline, QuantConnect)
Statistical analysis (Sharpe Ratio, Sortino, Max Drawdown, Monte Carlo simulations)
Risk management techniques (Kelly Criterion, volatility-based position sizing)
Sydney session specifics (low liquidity, Asian market influence on XAUUSD)
✔ Ability to explain changes clearly (technical reports, commented code).
✔ Familiarity with gold (XAUUSD) price drivers (USD strength, geopolitical events, safe-haven flows).
Deliverables
Comprehensive Audit Report
Identify why drawdown is excessively high (e.g., lack of stop-loss, over-leveraging).
Detect overfitting/curve-fitting biases in the current strategy.
Optimized Trading Logic
Revised entry/exit rules tailored for Sydney session.
Dynamic risk management (e.g., ATR-based stops, time-based filters).
Updated Bot Code
Fully commented, ready for live deployment.
Compatible with your platform: MT4/MT5/custom.
Backtest Comparison
Before/after performance metrics (Profit Factor, Win Rate, Drawdown).
Walk-forward testing on 2018–2023 XAUUSD data.
User Documentation
Optimal parameters for different market conditions.
Guide on adjusting settings for changing volatility.
Apply Now
Apply Now