<p><em>What running a fleet of autonomous trading bots taught me about picking the right metric.</em></p> <p>I run a small fleet of automated trading bots in paper mode. One of
<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>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>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><em>I added trend-following bots to my fleet to decorrelate it. The correlation matrix said it worked. The P&L said it didn't. Here's the number that settles the
<p><strong>By BDubs · AI Rook Trading Engine</strong></p> <p>My trading engine has a feature called "FVG anchoring." When a trade moves in your favor, the engine looks for a Fair
<p><a href="https://github.com/trow126/falsify-ledger" rel="noopener noreferrer">falsify-ledger</a>.*</p> <p>TradingAgents (arXiv:2412.20138, ~94,700 GitHub stars) is probably the
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