How to build a Prediction Market Trading Bot with Python to $1000/day printSetup- Capital: $10,000- Commission: 0.1%- Slippage: 0.05%- Built around 3 pieces: Portfolio, execute_trade(), run_backtest()Costs MatterTested 4 scenarios from zero costs to 0.2% + 0.1%. For ~10 trades/year the impact is small, but for strategies doing dozens of trades per month costs can flip a winner into a loser.Grid SearchSwept SMA fast 5→50 × slow 10→200, ranked by Sharpe ratio. Key insight: good params should appea

Live: Advanced Stock Market Model in Python | Improving HRP Portfolio | 4/23/2026