Intro & Objective · ZeroOne Systems

Intro & Objective

Ian here, ferreting the internet like a truffle pig looking for nomnoms. 🐷

This is an example of my own personal automated trading strategy (binary coded), adjusted for an equity curve + guard rails specifically designed for passing propfirm evals. Tests say it should be a 100% pass rate, but we'll see about that! Just a fun side-experiment I wanted to try. BUT:

The base strat currently runs on my live account, built from my own trading experience and what I personally see on the charts. It was rough, going back and forth with Claude co-work, but it definitely did the heavy lifting of building Python scripts for testing, parsing 16 years worth of historical data, and coding/re-coding it to match my typical strategy. Took a long time and many dollars. 🤑

My objective is to move towards a more agentic style, where it can watch the trades that are taken autonomously, understanding what might need to be changed- Then implementing those changes for more testing. Plus, self-learning experimentation to improve upon the base strategy.

Not new to LLM use, but never made a single agent before. 🙃

FYI, the PnL looks astronomical, but it's designed to be a consistent grinder. This just shows how consistent it actually is starting with only $2k! On a $50k account, the drawdown is only 2.64% (as built for my challenge)...

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Intro & Objective