I already have a full trading-strategy conversation exported from ChatGPT; the logic is all there, but it still lives largely as chat snippets rather than clean, runnable code. The draft script can already 1) generate trade signals and 2) run historical back-tests, so you don’t have to start from scratch. What I still need is to turn that conversational draft into a production-ready algorithm, then extend it with the pieces that are missing: • Solid risk-management layer (position sizing, max-drawdown limits, stop/limit logic) • Ongoing market-analysis routines to keep the strategy adaptive instead of static Once those features are in place, the code should be refactored for clarity, fully commented, and ready to plug into the live environment I’m using (happy to share details after kickoff). Acceptance criteria – End-to-end script runs without manual intervention – Risk metrics output alongside each trade decision – Market-analysis module feeds the core strategy in real time or at scheduled intervals – Back-test results reproduce the current performance and add the new safeguards without degrading profitability The only thing that I didn’t add already is the API connection. It’s already programmed in the code but the password and everything I’ll put them when you give me the finisco result I’ll provide the entire chat transcript, current code fragments, and sample data right away. If you’re comfortable shaping AI-generated logic into robust, deployable trading software, let’s get this wrapped up.