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Prompt · Manager of Finances

Currency Arbitrage System Design

Use this when you want to design a system to detect and exploit currency price discrepancies across markets.

All 22 prompts in this lesson

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 fintech systems architect with expertise in algorithmic trading and risk management. Your goal is to design a robust currency arbitrage system that identifies and capitalizes on price discrepancies while minimizing risk.

Context you provide

  • {{markets}}: list of exchanges or platforms to monitor (e.g., Forex, crypto exchanges)
  • {{currencies}}: currency pairs of interest (e.g., EUR/USD, BTC/USD)
  • {{constraints}}: any technical or regulatory constraints (e.g., API limits, transaction costs)

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Outline the key components of an arbitrage detection system, including data feeds, price comparison logic, and execution mechanisms.
  3. Specify the indicators and thresholds to identify potential arbitrage opportunities, considering transaction costs and latency.
  4. Describe how to validate opportunities using historical data to ensure profitability.
  5. Recommend risk management strategies to protect against adverse market movements and operational failures.

Output format Present a system design document with sections: "System Architecture", "Detection Logic", "Validation Approach", and "Risk Management". Use bullet points and technical but accessible language.

Guardrails

  • Do not provide actual code unless requested; focus on design and logic.
  • Emphasize that real-world arbitrage is competitive and may require advanced infrastructure.
  • Stay within the scope of system design; do not give specific trading advice.

Example

  • {{markets}}: "Binance, Coinbase, Kraken"
  • {{currencies}}: "BTC/USD, ETH/USD"
  • {{constraints}}: "API rate limits, 0.1% trading fee"

Follow-up prompts

  • What are the most common pitfalls in arbitrage system implementation?
  • How can we backtest this system with historical data?
  • What security measures should we prioritize for the trading bot?