Crypto Trading Bots in Python

The problem

The client wanted bots that would trade cryptocurrencies automatically on a few exchanges, Binance among them, instead of watching charts by hand. The brief was open: find an edge, build something that trades it, and keep it running.

What I built

• Market analysis of the target exchange, which showed it lagged behind the larger markets because of its time zone and relatively small size. Where a general trend in a coin such as BTC was already visible elsewhere, that lag could be traded.
• A Python bot that trades on that observed lag through the exchange API.
• A second bot that listens for signals from a custom TradingView strategy and executes the corresponding orders automatically, so the client's own strategy rules could run without anyone at the keyboard.
• Deployment of the signal bot to the cloud so it stays connected to the exchange and to TradingView around the clock.

How it was delivered

A trading bot is only useful if it is running when the signal arrives, so both bots were built to run unattended rather than from a laptop. The TradingView bot in particular is an always-on listener: the strategy fires, the webhook arrives, the order goes out. That operational side, keeping the process alive and monitoring what it did, turned out to matter as much as the strategy.

Outcome

Did it make money? It depends. The bots were profitable at times, but high trading fees and a changing market meant the edge was not stable, and the algorithm needed constant monitoring and tweaking to stay ahead of it. That is the honest read on most retail crypto strategies, and I would rather report it than hide it.