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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.
Project ID: 40414314
33 proposals
Remote project
Active 15 days ago
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