Crypto Arbitrage Bot Development
Budget: $100,000 – $0 USD
I want to build a sophisticated cryptocurrency arbitrage program that scans several major exchanges—Binance, Coinbase, Kraken, or any others you judge more profitable—in real time, pinpoints price discrepancies, and executes trades automatically. My target is an 80 %+ win rate, so the core logic should combine fast order-book scraping with an AI-driven decision engine that filters for the highest-probability spreads before committing capital.
The application must stream data with minimal latency, place and manage orders end-to-end, and keep me fully informed through a clean analytics dashboard showing live PnL, historical performance, and risk metrics. Flexibility to plug in additional exchanges later is important, so please structure the code modularly (I’m fine with Python + CCXT, asyncio, pandas, TensorFlow/PyTorch, or any comparable stack you prefer).
Deliverables
• Fully documented source code and requirements file
• Exchange connectors with configurable API keys and fee settings
• AI/ML module that ranks opportunities and adapts to changing market conditions
• Automated trading engine with position sizing, stop-loss, and safety checks
• Web or desktop dashboard for real-time tracking and detailed analytics
• Deployment script (Docker or similar) plus a concise setup guide and sample back-test report
Once everything is running smoothly, I’ll test the system live with my own keys, so please include a short video walkthrough or screenshare to confirm functionality. Let’s discuss any assumptions you need clarified and agree on milestones before you start coding.
The application must stream data with minimal latency, place and manage orders end-to-end, and keep me fully informed through a clean analytics dashboard showing live PnL, historical performance, and risk metrics. Flexibility to plug in additional exchanges later is important, so please structure the code modularly (I’m fine with Python + CCXT, asyncio, pandas, TensorFlow/PyTorch, or any comparable stack you prefer).
Deliverables
• Fully documented source code and requirements file
• Exchange connectors with configurable API keys and fee settings
• AI/ML module that ranks opportunities and adapts to changing market conditions
• Automated trading engine with position sizing, stop-loss, and safety checks
• Web or desktop dashboard for real-time tracking and detailed analytics
• Deployment script (Docker or similar) plus a concise setup guide and sample back-test report
Once everything is running smoothly, I’ll test the system live with my own keys, so please include a short video walkthrough or screenshare to confirm functionality. Let’s discuss any assumptions you need clarified and agree on milestones before you start coding.