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Explore I Built an INSANE AI Trading Bot to Trade My $1,000 (Full Guide) with 82,318 views, 1,148 likes, and 49 comments. Experience the impact of this video content that has captured audience attention.

👉🏻 Learn AI trading bots and algorithmic trading with us: https://www.skool.com/daviddtech/about 👉 TradingKit AI build AI trading bots: https://tradingkit.com/?sl=freeyt If I had to start again with $1,000, this is the AI trading bot setup I would build. I lost money trading manually. I lost money running somebody else's bot. After more than five years of building and backtesting strategies, this is the process I would follow from the beginning. In this full guide, I use Claude Code to build a Claude AI trading bot workflow: research an idea, create a strategy, backtest it, track its performance and prepare it for automated execution through TradingView. If you're interested in building a ChatGPT trading bot, I also discuss ChatGPT and OpenAI Codex as alternative tools. Claude Code is the tool demonstrated in this walkthrough. But an impressive equity curve is only the beginning. I'll show you why I test strategies on new data before putting money behind them, why I currently trade only seven strategies after testing thousands, and what I monitor when a bot starts losing its edge. You'll see the research process, the strategy-building prompt, my Mission Control dashboard, the broker connection and five lessons from my own automated trading experience. You don't need to write the code yourself to follow the workflow. IN THIS VIDEO, YOU'LL DISCOVER: ✅ How I choose between Claude and ChatGPT for AI trading projects ✅ How to connect Claude Code to TradingKit's backtesting tools ✅ Where I find trading ideas, research papers and open-source indicators ✅ How my NNFX-style strategy framework fits together ✅ How I use trend, confirmation and volatility indicators ✅ Where position sizing fits into a $1,000 account setup ✅ How to run a continuous strategy research and optimization loop ✅ How to organize equity curves and results in Mission Control ✅ Why I separate historical backtests from an incubation period ✅ How to move a Pine Script strategy into TradingView ✅ How broker API keys, Trigger.trade and webhook alerts connect ✅ How I monitor strategies and decide when to switch a bot off ⏰ VIDEO CHAPTERS 0:00 - The AI Trading Bot Setup I'd Build With $1,000 1:02 - The Build, Backtest and Automation Roadmap 2:18 - Choosing Claude or ChatGPT 3:03 - TradingView, TradingKit and the Tools You Need 4:44 - Setting Up Claude Code 5:03 - Connecting TradingKit and the Backtesting Tools 6:21 - Running the First Strategy Backtest 7:17 - Finding Trading Strategy Ideas 8:56 - My NNFX-Style Trading Strategy Framework 10:06 - Position Sizing for a Smaller Account 10:32 - The Continuous Strategy Research Prompt 11:32 - Building Your Mission Control Dashboard 12:41 - Incubation: Testing Strategies on New Data 14:46 - Moving Your Bot Into TradingView 16:05 - Connecting Your Broker and API Keys 17:31 - Trigger.trade, Alerts and Webhooks 18:53 - Monitoring Your Trading Bots 19:52 - Five Lessons From Five Years of Automated Trading FIVE LESSONS I WISH I'D LEARNED EARLIER 1. Give strategies an incubation period before committing capital. 2. Evaluate enough trades instead of constantly jumping between bots. 3. Backtest the rules before trusting a trading system. 4. Define when to turn a bot off and follow those rules. 5. Learn with other traders and challenge your assumptions. TOOLS AND RESOURCES TradingKit: https://tradingkit.com/ TradingView: https://www.tradingview.com/ Trigger.trade: https://trigger.trade/ Also discussed: Claude Code, ChatGPT, OpenAI Codex, Quantpedia, Google Scholar, NNFX, Pine Script and MCP tools. 💬 Are you building with Claude or ChatGPT? Comment with your choice and the step you're working on. Subscribe for more AI trading bot builds, TradingView strategy tests and lessons from running automated systems. Tool costs and access requirements vary. Check current subscriptions, technical-alert and webhook access, community requirements and broker fees before following the setup. ⚠️ This video is for education and entertainment only, not financial advice. The $1,000 is the account-size scenario used to explain the build, not a promised return. Backtests and incubation results are not guarantees of future profits or necessarily real-money trades. Account for fees, slippage, drawdowns and the possibility of losing your capital. Trade smarter. Test everything. Let the data do the talking. #AITrading #ClaudeAI #ChatGPT

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