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Learn how to start AI trading as a beginner. In this complete course, I build an automated AI trading system using Claude, TradingView and TradingKit—then launch it on a brand-new $10,000 account.

Five years ago, I trusted trading bots I didn’t properly understand. When the Luna crash happened, those black-box systems kept buying all the way down.

That experience completely changed how I approach automated trading.

In this video, I’m sharing the complete process I now use to research, backtest, validate and automate trading strategies. You don’t need to write code: Claude Code performs the technical work while TradingKit provides the strategy-testing tools and TradingView data.

You’ll also see me deposit $10,000 into a new trading account and launch a completely public AI trading challenge. I’ll report the profits, losses, drawdowns and open trades in future videos—whether the system succeeds or fails.

## In this video, you’ll discover:

✅ The accounts and tools required to start AI trading
✅ How to connect Claude Code to TradingKit
✅ How to make Claude research and backtest strategies automatically
✅ The rules I use to reject weak or unrealistic backtests
✅ How to evaluate profit factor, drawdown, trade count and buy-and-hold performance
✅ Why profitable backtests can still fail in live markets
✅ How incubation and forward testing protect your capital
✅ How to verify an AI-generated strategy inside TradingView
✅ How to connect TradingView alerts to your broker using Trigger.trade
✅ How to automate entries, stop losses, take profits and position sizing
✅ The five lessons I learned from testing more than 2,000 strategies
✅ How I’m tracking the new $10,000 account publicly

## ⏰ Video Chapters

0: 00 – Starting the $10,000 AI Trading Challenge
0: 26 – How Black-Box Trading Bots Nearly Wiped Me Out
1: 40 – The Complete AI Trading Roadmap
4: 00 – Accounts, Software and Subscriptions
6: 19 – Funding the New Trading Account
7: 14 – Connecting Claude Code to TradingKit
9: 21 – Giving Claude Two Hours to Find a Strategy
11: 37 – Checking Claude’s Progress
13: 00 – The AI Backtesting Results
15: 38 – Why Backtests Fail in Live Markets
18: 12 – Verifying the Strategy in TradingView
18: 40 – Connecting TradingView to the Broker
23: 43 – The Public Account Scoreboard
24: 35 – Five Years of Algorithmic Trading Lessons
27: 13 – What You Should Realistically Expect
28: 20 – Building the AI Risk-Management Agent

## Tools Used

Claude AI
Claude Code
TradingView
TradingKit / TraderDev
Trigger.trade
Automated trading bots
Strategy backtesting and forward testing
Algorithmic risk management

⚠️ Everything in this video is provided for education and entertainment only—not financial advice. AI can research ideas, build strategies and automate workflows, but no backtest guarantees future performance. Always forward-test strategies, account for fees and slippage, and only trade capital you can afford to lose.

The edge isn’t blindly asking AI to trade.

The edge is giving AI the right tools, testing every assumption and building transparent systems you actually understand.

Trade smarter.
Test everything.
Let the data do the talking.

#AITrading #AlgorithmicTrading #ClaudeAI