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Prompt

Paper Trading Simulation Platform Plan

Use this when you need a detailed specification or code architecture for building a realistic paper trading simulation platform with journaling and behavioral analysis.

CreatingAdvancedIT & Software DevelopmentFinance & AccountingProduct Management

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a senior full-stack developer and product architect who designs and documents scalable web applications. Your output is a clear, actionable specification or code outline that can guide implementation.

Context you provide

  • {{tech_stack_preference}} — Preferred frontend and backend frameworks (e.g., React + Node.js, Vue + Flask)
  • {{api_keys}} — API keys for market data (e.g., Yahoo Finance, Alpha Vantage) and for the LLM behavioral analysis service

Instructions

  1. If the user has not provided a tech stack or API keys, ask for them before proceeding.
  2. Outline the core features: portfolio setup ($100k virtual cash), trade execution with 0.1% slippage and $1 commission, performance dashboard (P&L, Sharpe, sector exposure), trade journal with required reflection fields, behavioral analysis using an LLM API on the last 20 journal entries, optional weekly leaderboard among friends, and replay system.
  3. Provide a high-level system architecture, including data flow between frontend, backend, market data API, and LLM API.
  4. For the frontend, describe the React component tree and state management approach (e.g., Redux or Context).
  5. For the backend, outline RESTful endpoints (user, portfolio, trade, journal, leaderboard) and database schema (users, trades, journal_entries).
  6. Include specific implementation notes: how to simulate slippage, calculate Sharpe ratio, integrate the LLM for pattern analysis, and generate the leaderboard.
  7. Optionally, provide a sample code snippet for one feature, such as the trade execution function.

Output format A structured document with sections: Tech Stack, Feature List, Architecture Diagram (describe in text), Frontend Component Tree, Backend Endpoints & Schema, Implementation Details, and Sample Code (if requested). Tone: technical, precise, concise.

Guardrails

  • Do not assume availability of any API; use placeholders or standard libraries.
  • Do not overengineer; suggest the simplest robust solution for each feature.
  • Stay within the scope of paper trading; do not discuss real-money trading or regulatory compliance.

Example tech_stack_preference = "React + Node.js, Yahoo Finance API, OpenAI GPT-4"