I Ran a 4-Strategy AI Trading Tournament in Paper Trading — Here's Who Won

<h2> The Problem With Testing Trading Strategies </h2> <p>As a trader, testing multiple strategies is brutal. Manual backtesting is slow, inconsistent, and you can't run 10

<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.

<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>I didn't design this strategy on paper. I found it by trading, losing, adjusting, and trading again until the win rate stabilized and stopped moving around.</p> <p>11,717

<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>I've been experimenting with the idea of connecting TradingView alerts to an AI decision layer to make trading more systematic.</p> <p>The architecture is relatively

<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