24/7 Low-Risk Bitcoin Trading Bot
Budget / Salary₹1,500–12,500
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a production-ready trading bot that runs around the clock on the Coinswitch spot market and trades only Bitcoin. Low risk is my top priority, so the strategy must combine real-time news sentiment with solid technical and functional analysis before placing any order. In other words, the bot should read global headlines, measure market mood, check key indicators (moving averages, RSI, volume, etc.), and then decide whether to buy, sell, or sit out—no emotional trades, no leverage, just disciplined spot execution.
I expect automatic position sizing, configurable stop-loss and take-profit levels, and a clear way for me to tweak risk parameters without diving into the code. The system must be capable of running 24/7 on a VPS or cloud instance, reconnecting to the Coinswitch API after any outage, and logging every action so I can audit decisions later.
Deliverables:
• Complete, well-commented source code
• Setup guide and environment requirements
• Back-test report plus a short live demo on a paper account
• Quick reference explaining how to adjust risk and indicator settings
If you have experience blending news sentiment analysis (NLP, RSS, or social media feeds) with technical signals in Python, Node, or a comparable stack, I’d love to see your approach.
I expect automatic position sizing, configurable stop-loss and take-profit levels, and a clear way for me to tweak risk parameters without diving into the code. The system must be capable of running 24/7 on a VPS or cloud instance, reconnecting to the Coinswitch API after any outage, and logging every action so I can audit decisions later.
Deliverables:
• Complete, well-commented source code
• Setup guide and environment requirements
• Back-test report plus a short live demo on a paper account
• Quick reference explaining how to adjust risk and indicator settings
If you have experience blending news sentiment analysis (NLP, RSS, or social media feeds) with technical signals in Python, Node, or a comparable stack, I’d love to see your approach.
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