Building an AI trading desk, not just a trading bot. Current paper results: 16 t

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1seyud8/kigesteuerter_trading_bot_mit_tradingview_alpaca/"> <img alt="KI-gesteuerter Trading Bot mit

<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>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

<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

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

<!-- SC_OFF --><div class="md"><p>Models are given live prices, access to web tools and local tools (writing code, for example), and are subject to realistic slippage and fees at

<!-- SC_OFF --><div class="md"><p>I had a few days off and built myself two web applications. I have limited coding experience working with Python on and C for Raspberry Pi and

<h1> Gray-Scale Risk Control: Dynamic Scaling Instead of Hard Veto for High-Score Signals </h1> <p>Imagine your AI trading engine screams a massive 90/100 confidence score for a