Most trading bots are built backwards: strategy first, validation never. I build the opposite way — infrastructure first, then strategies that survive real testing.
What you get:
- Custom Python trading bot connected to your exchange via API
- Backtesting engine with Source-of-Truth verification against raw exchange data
- Out-of-sample (OOS) testing gates — your strategy must prove itself on unseen data before going live
- Paper trading mode with live/paper parity checks
- Market data recorder for building your own historical dataset
- Telegram notifications for trades, errors, and daily summaries
- Walk-forward analysis across multiple train/test splits
What makes this different: I've personally tested 20+ strategy variations (microstructure, intraday, momentum, mean-reversion) and built a systematic pipeline to separate real edge from noise. I'll apply the same rigor to your strategy.
I will also give you an honest feasibility assessment before writing a single line of code. If your idea won't survive transaction costs, I'll tell you upfront.
