Learning from ChatGPT

#4686 Paper Trading Monitoring Website #4686  I would like to run a paper trade monitoring website that lists a stock, the recommendation to buy price, buy date, and following daily data until a recommendation to sell is posted, then following daily data after the sale Building a paper trade monitoring platform requires three primary layers: Trade State Management , an Automated Market Data Ingestion Pipeline , and a Performance Analytics Engine to track both active positions and the counterfactual "opportunity cost" after a sale. Core Architecture & Data Flow [Signal / Recommendation Entry] │ ▼ [Active Trade State] ──(Daily End-of-Day Price Sync)──► [Track Unrealized P&L & Drawdowns] │ ▼ (Sell Recommendation Triggered) [Closed Trade State] ──(Continued Daily Price Sync)──► [Track Realized P&L vs Post-Sale Alpha] Database Schema Design A relational structure (such as PostgreSQL) handles temporal daily series and trade lifecycles c...