I ran a self-hosted AI trading strategy lab for 30 days. Here is what happened.

I've been running TradeSight — a self-hosted Python app that runs AI strategy tournaments overnight — for about 30 days of paper trading. Here's the honest report. What TradeSight does You give it a set of indicators (RSI, MACD, Bollinger Bands, 15+ total). It backtests each one, runs them in head-to-head tournament rounds, picks a winner, then paper trades that strategy live via Alpaca API. Zero capital at risk — Alpaca's paper trading account is free. GitHub: github.com/rmbell09-lang/tradesight Two tournaments, two champions Session 1: RSI Mean Reversion won. Score: 0.6238 over 4 rounds. Params: oversold=30, overbought=75, position_size=0.8, SL=5%, TP=6%. Seeded with real Alpaca historical data. Session 2: MACD Crossover dethroned RSI. Score: 0.72 over 4 rounds. Consistent head-to-head wins. MACD Crossover became the live paper trading strategy. What actually happened in live trading Paper portfolio: started at $10,000. Realized PnL: -$54.55 (-31%). Open positions at time of writing: