I used Claude to trade, and it made + $19,537 using my custom Market Research Desk. I just open-sourced the entire GitHub repo! Here's how to install, use, and run my Research Desk so you can make real money in the markets with AI: What it actually is: Think of this as a trading backtesting workspace. You can import real market data, define your rules, run trading simulations, and see exactly what happened (400+ strategies already pre-loaded). To get started: Step 1. Install it Terminal command git clone https://github.com/Miles-Deutscher/Backtesting-Engine.git cd Backtesting-Engine npm install npm run dev Open the local URL printed in your terminal. Step 2. Run your first backtest → Open Backtesting from the sidebar → Keep Binance public market data selected (no API key needed), pick a symbol like BTCUSDT and a timeframe. 1 day is a good first run → Choose a strategy: moving-average crossover, RSI mean reversion - your choice → Set your starting portfolio cash and fee assumption → Hit Load data & run backtest Step 3. Read the result properly You'll see net P/L, max drawdown, win rate, average trade, profit factor, and time in market, all shown together. Step 4. Save and compare strategies Adjust a strategy's settings, then save it as a custom preset. It'll then show up under "My Saved Strategies", and you can revisit any past run under History to compare. Step 5. Extend it The codebase is small and readable on purpose. Feel free to add slippage, stop-losses, position sizing, shorting, or an entirely new strategy. I also recommend using Alpaca for stocks (optional; your API keys stay local). Took me weeks to build. Enjoy! → http://github.com/Miles-Deutscher/Backtesting-Engine(Miles Deutscher)