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I Gave Claude Code $10,000 to Trade Stocks — It Built Its Own Strategy (FULL SETUP 2026) Analytics Table
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About I Gave Claude Code $10,000 to Trade Stocks — It Built Its Own Strategy (FULL SETUP 2026)
Explore I Gave Claude Code $10,000 to Trade Stocks — It Built Its Own Strategy (FULL SETUP 2026) with 5,072 views, 130 likes, and 15 comments. Experience the impact of this video content that has captured audience attention.
I gave Claude Code $10,000 and one job: build a quantitative trading strategy from scratch and execute it live. In this video, I walk you through the full build—from the stock screener to the execution engine using the Alpaca API. Most people get "overfitted" results with AI bots (that fake 80% win rate). I’ll show you the exact prompt I used for walk-forward optimization that turned a "too good to be true" bot into a realistic, profitable system. What we cover: The Prompt: The exact logic I gave Claude to analyze 200+ S&P 500 stocks. The Strategy: VWAP crossovers, EMA momentum, and volume filters. The Reality Check: Why Wednesday was a red day and how the bot handled it. The Tech Stack: Claude Code, Python, SQLite, and Alpaca. ⚠️ Disclaimer: This is for educational purposes. Trading involves risk. I am a Computer Science student and Quant enthusiast, not a financial advisor. Always paper trade before using real capital. In this video, I walk you through the entire process of building and testing a stock trading AI. Learn how I engineered a daily stock screener that connects to market data APIs, turning $10,000 into real trading results. Discover how this automated trading bot scanned over 200 stocks, built its own strategy, and backtested it against a full year of market data.
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