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Trading bots

Automating trading strategies through the exchange API. The bot listens to the price feed over WebSocket, works out the position size, and sends orders straight to the exchange.

< 100 ms reaction time to exchange signal

The problem

The client already had a strategy and needed a precise entry inside a short window. By hand, there was no keeping up with the market.

What I did

I built a Python bot for the exchange API: the streaming data intake, the algorithm that runs the strategy, and safeguards for when something goes wrong.

Result

The bot enters the position at the right moment and closes the trade by the rules of the strategy.

Launched bots

01

Execution engine

A bot that acts on exchange events. It takes the live data feed, checks the risk limits, and places orders in the first seconds of the window.

Screen recording coming later

Tell me the rules the bot should trade by. I'll tell you what can be automated and how we back-test it first.

I want a bot for my strategy

What the work involves

What it includes

A complete system: exchange API connection, entry and exit algorithms, risk management, and the backend on the server.

What I need from you

The strategy logic: position sizing rules, entry conditions, and profit targets. We agree on the rules the bot trades by before the start.

After launch

Before it goes live, we test the bot on historical data or in simulation. If something breaks in my own code, I fix it. After that I keep the server running and watch the bot as agreed, month to month.