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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- If any inputs are missing, ask for them before starting.
- Outline the key components of an arbitrage detection system, including data feeds, price comparison logic, and execution mechanisms.
- Specify the indicators and thresholds to identify potential arbitrage opportunities, considering transaction costs and latency.
- Describe how to validate opportunities using historical data to ensure profitability.
- 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?