If you already have a bot idea or execution logic, I can implement a clean backtest and validation checks so results are reproducible and not based on common mistakes.
What you get
- Backtest implementation in Python (your rules, exactly)
- Fees/slippage as configurable parameters
- Time-series split / walk-forward style evaluation
- Validation checks: data alignment, missing data handling, basic leakage/lookahead red flags
- Metrics + plots + short summary of assumptions/limitations
Deliverables
- Notebook/script + README
- Config + example run
What I need from you
- Your rules (description or pseudo-code)
- Assets/timeframes/data source preference
- Any constraints (exchange hours, leverage rules, etc.)
