The prompt
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.
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
ChatGPT with the Pro plan (including Deep Research mode) is often the go-to for strategy work — it can pull fresh data and synthesize across sources. Claude is the better sounding-board for judgment-heavy decisions. Gemini integrates with Google Workspace data.
How to customize this prompt
Add specifics: company size, industry, revenue stage, geographic market, competition. The more the prompt knows about your context, the more useful the output. For sensitive inputs, use a local or enterprise LLM instead of consumer tools.
Common use cases
- Generating a go-to-market plan for a new product
- Analyzing competitor positioning based on public info
- Building pros-and-cons frameworks for tough decisions
- Drafting investor updates and board memos
- Stress-testing business model assumptions
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).
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