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Trading Bot Development for Exchanges and Algorithmic Trading

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Listing period14 daysuntil 23.11.2026
Posted25.08.2026
Views660 in 14 days

About the service

I'll turn your trading idea into a working, tested bot that executes trades on an exchange on its own. I've been writing algorithmic and cryptocurrency trading systems for years: they connect to exchange APIs, place and manage orders and work 24/7 without manual oversight. If you have a strategy — even sketched on paper or living as a set of rules in your head — I'll translate it into clean, maintainable code and ensure every entry, exit and edge case works exactly as you intended before the first real order goes out.

Work starts with careful analysis of your logic. I formalize signals, position sizing calculations and exit rules, then connect the bot to the exchange via REST and WebSocket: authentication, request limits, partial fills, reconnections and time sync — I handle all of it. Next I run the strategy against historical data to see how it behaves on trending, sideways and volatile sections; backtesting shows drawdown, win rate, profit factor and other metrics, and decisions are based on numbers, not hope. I always include strict risk control: maximum position size, daily loss limit, stop-loss and take-profit handling, plus an emergency kill switch that closes all positions if anything goes out of bounds.

Reliability is usually underestimated, so I build it in from the start. Every order, fill and error goes into logs, the bot recovers from connection drops, and a monitoring layer alerts you as soon as behavior becomes abnormal. You get readable code, a short operator's guide and a demo trading period before putting in real money. Whether you need a simple grid or DCA bot, a market maker or a bot driven by external signals across multiple pairs — I'll build it from start to finish and stay available for tuning after launch.

What's included:
— Exchange API integration (REST + WebSocket), orders and account state
— Strategy implementation based on your rules or indicators
— Backtesting on historical data with clear metrics
— Risk management: limits, stop-loss and take-profit, emergency stop
— Structured logging, alerts and health monitoring
— Documentation and demo launch under supervision

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