How to Avoid Overfitting in Crypto Trading Bots: Lessons from 10,000+ Backtested

<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>After running a crypto trading bot 24/7 for over a month, I've collected enough data to share what actually works for risk management. Not theory — real results from real

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

<h1> The Real Goal of Building a Trading Bot: Removing Yourself from the Loop </h1> <blockquote> <p><em>Disclaimer: Not financial advice. I trade with small amounts and have lost

<p>My trading bot lost $176 in its first real backtest.</p> <p>Not because of a bug. Not because of bad data. The algorithm was working exactly as designed it just couldn't figure

<blockquote> <p>Cross-post. Original: <strong><a href="https://www.stellarbytecapital.com/blog/backtesting-overfitting/" rel="noopener

<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,

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