Coding an Algorithmic Trading Bot

👉 Check out the code on GitHub

Day trading demands time, patience, and self-discipline. I first stepped into trading in 2017, and around the same time, I began learning Python. Ever since, I’ve carried the dream of building my own trading bot.

A few years back, I came across a lifetime subscription to AlgoPro, an algorithmic indicator on TradingView. I was impressed with the results it produced, but quickly realized its automation options were limited. That’s when I decided to build my own system - a receiver that could take in my customised-algorithmic signals and execute trades the way I wanted.

What I envisioned wasn’t a “set it and forget it” bot, but a semi-automated system. One that could run on strict rules but still give me hands-on control when I needed it.

I wanted to:

• Trigger new trades, check open positions, and close them instantly via a simple Telegram command or a web UI.

• Adjust parameters on the fly for different trading pairs.

• Pull chart snapshots of open trades to see the bigger picture.

• Cut out second-guessing by relying on an algorithm that never strays from its rules.

I didn't have to reinvent the wheel by creating the algorithm myself. Instead, I focused on creating the execution system around it: one that would allow me to manage my trades, adapt to my needs, and allow me the option to e.g. close all trades or halt all incoming signals with a single command.

That’s how this project began: turning years of day-trading lessons and Python tinkering into a tool that makes my intraday workflow faster, safer, and more disciplined.

👉 Check out the code on GitHub