Project Description
I need an AI-driven agent that can watch the cryptocurrency market in real time, identify swing-trading opportunities, and automatically place matching orders on my Binance account. The core idea is simple: as soon as the bot detects a high-probability setup or spots a trader’s public signal that fits pre-set criteria, it should replicate the entry, manage stops and targets, then exit according to my risk rules—all without manual intervention.
Key points to cover
• Market scope: cryptocurrencies only.
• Strategy focus: swing trading (positions typically held for hours to a few days, not intraday scalps).
• Exchange connectivity: Binance via official API with full support for spot and, if feasible, futures.
I will provide API keys and any reference signal sources I already follow. You will be responsible for:
1. Designing or selecting the detection model (rule-based, ML, or hybrid) that flags viable setups.
2. Coding the trade execution layer (Python, CCXT, or native Binance SDK—your call, so long as it’s stable).
3. Implementing risk management parameters I can edit—position size, max drawdown, trailing stop, etc.
4. Logging every action to a local database or dashboard so I can audit performance.
5. Supplying concise documentation plus a quick video or written walkthrough showing installation, config, and live run on testnet before we flip the switch to mainnet.
Acceptance criteria
• Agent runs on a VPS or my own server, auto-restarts on crash, and executes at least 50 sample trades on Binance testnet with <100 ms order-submission latency.
• PnL and trade logs export cleanly to CSV/JSON.
• All configurable parameters are exposed in a single YAML or GUI panel—no code edits required for routine tweaks.
If you have built something similar or can demo related work, let me see it; otherwise, outline your plan, tools, and timeline and we can kick this off right away.