How I built a multi-exchange crypto trading bot in Python

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

<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

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<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,

<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>I recently went down a rabbit hole connecting OS internals with real-world low-latency systems.</p> <p>While learning about process management in operating systems, I kept

<p>Every quant's journey starts the same way: "What if I could predict the market?" Most quit after their first linear regression spits out noise. I didn't quit — I built GodFin,

<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