ADHIP BHATTACHARYA

• Developed 4 core automated trading systems with 100+ structured variations across signal, exit, and risk models. • Built modular MT5 Expert Advisors separating signal logic, trade execution, and capital management layers. • Implemented dynamic lot sizing, stop-loss validation filters, trailing exits, and drawdown protection mechanisms. • Conducted structured backtesting and 1-year validation under varying volatility and execution conditions. Research & System Development Depth • Evaluated 100+ internal configurations across signal generation, exit frameworks, and capital allocation models. • Performed parameter sensitivity testing to reduce over-optimization bias. • Designed systems for modular modification while preserving proprietary alpha logic. • Structured validation across different market regimes and volatility environments. Selected Algorithm Performance (1-Year Validation Results) Algorithm 01 – BTCUSD (H1 Timeframe) • Initial Capital: $10,000 • Net Profit: $4,778 — Profit Factor: 1.83 — Sharpe Ratio: 0.56 • Maximum Equity Drawdown: 37.63% — Total Trades: 3,984 • Structured as a higher-frequency system with consistent trade distribution. • Performance Screenshots: View Report Algorithm 02 – XAUUSD (H1 Timeframe) • Initial Capital: $10,000 • Net Profit: $9,995 — Profit Factor: 7.69 — Sharpe Ratio: 1.50 • Maximum Equity Drawdown: 28.30% — Total Trades: 102 • Designed as a lower-frequency, higher-quality signal framework. • Performance Screenshots: View Report Results represent 1-year historical validation under controlled testing conditions. Core trading logic is proprietary and not publicly disclosed.