The Real Goal of Building a Trading Bot: Removing Yourself from the Loop

<p>I've been working on crypto exchange trading bot (python) for a while and wanted to share what I learned.</p> <h2> The problem </h2> <p>Production-ready Python trading bot for

<p>Overfitting is the silent killer of algorithmic trading strategies. Your backtest shows incredible results, but the moment you go live, everything falls apart.</p> <p>After

<p>I built a custom monitoring script, <code>daily_check.py</code>, to watch my bots while I slept. I wanted to see if they were actually following the rules I set or if they were

<blockquote> <p>Explore how a Polymarket TWAP breakout bot detects crypto momentum, TWAP divergence, probability changes, liquidity conditions, and false breakouts.</p>

<p>Another one from the same one-person-AI-company setup I've written about before: Claude Code builds and maintains the code, several agents run unattended on a schedule,

<p>Every trading book, YouTube channel, and Discord server teaches the same classics: RSI<br /> mean-reversion, the golden cross, Bollinger bands, MACD momentum, Turtle trading.

<p>When I started building my Polymarket TWAP End-Cycle Sniper, the original idea was simple:</p> <p>Find a high-probability opportunity near the end of a short-duration market,

<p>For two months, I tinkered together a small system that watches my portfolio and sends me, once a month, what it thinks I should do: buy, add, lighten, sell.</p> <p>Wrong