Trading & Investing Simulation Platform
People want to practice before risking real money. The simulation sells the hope of being competent enough to invest eventually — and the journal analysis layer sells the hope of becoming the kind of person whose judgment improves over time
About
People want to practice before risking real money. The simulation sells the hope of being competent enough to invest eventually — and the journal analysis layer sells the hope of becoming the kind of person whose judgment improves over time. If simulation doesn't reflect real market mechanics, it feels like a toy and loses credibility. Slippage, transaction costs, and realistic price impact must be simulated.
Prompt
Full instructions — copy and paste into your model
Build a paper trading simulation platform called "Paper" — a realistic, risk-free environment for learning to trade and invest.
Core features:
- Portfolio setup: user starts with $100,000 in virtual cash. Real-time stock and ETF prices via Yahoo Finance or Alpha Vantage API
- Trade execution: market and limit orders supported. Simulate 0.1% slippage on market orders. Commission of $1 per trade (realistic friction without being punitive)
- Performance dashboard: P&L chart (daily), total return, annualized return, win rate, average gain and loss, Sharpe ratio, and current sector exposure — all updated with each trade. Built with recharts
- Trade journal: required field on every position close — "What was my thesis entering this trade? What happened? What will I do differently?" Three fields, each max 200 characters. Cannot close a position without completing the journal
- Behavioral analysis: [LLM API] analyzes the last 20 trade journal entries and identifies recurring behavioral patterns — "You consistently exit winning positions early when they approach round-number price levels" — surfaced monthly
- Leaderboard: optional, weekly-resetting leaderboard among friend groups — ranked by risk-adjusted return, not raw P&L
Stack: React, Yahoo Finance or Alpha Vantage for market data, [LLM API] for behavioral analysis, recharts. Terminal-inspired design — data dense, no decorative elements.