👉🏻 Learn AI trading bots and algorithmic trading with us:
https://www.skool.com/daviddtech/about

I’ve tested hundreds of AI skills and MCP servers to find the tools worth adding to my AI trading bot workflow.

In this video, I share seven picks I use for strategy research, backtesting, account reports, position sizing and keeping my AI agents working with the right context.

You’ll see how I use Claude and other AI tools to find open-source TradingView indicators, investigate strategies, review trading data and carry research between AI subscriptions.

I also demonstrate a TradingKit backtest and explain why broker connections, wallet data and position sizing each have a different job in my setup.

If you’re building a Claude AI trading bot or exploring a ChatGPT trading bot workflow, this gives you a practical shortlist of skills, MCP servers and supporting tools to investigate.

The goal is a repeatable process: find the rules, test the strategy, understand the risk and keep track of what you’ve learned.

IN THIS VIDEO, YOU’LL DISCOVER:

✅ How my TradingView Indicator Search MCP finds open-source strategy ideas
✅ What TradingView Unified MCP adds to an AI-assisted workflow
✅ The limitations of automating TradingView with third-party tools
✅ How I backtest Pine Script strategies with TradingKit
✅ A MACD strategy backtest example on silver
✅ How broker MCP tools support balance checks and performance reports
✅ Why repository checks and API-key handling matter
✅ How I use Nansen Smart Money Alpha to investigate wallet activity
✅ Why position sizing matters when running trading bots
✅ How TraderMonty’s Position Sizer fits into my research
✅ How handoff and context tools preserve strategy research
✅ How I move work between Claude and Codex
✅ An introduction to DaviddTech+ and AI market forecasts

⏰ VIDEO CHAPTERS

0: 00 – The Tools in My AI Trading Bot Workflow
0: 45 – TradingView Indicator Search MCP
2: 28 – TradingView Unified MCP
3: 27 – TradingView Automation Risks
3: 55 – TradingKit: Backtesting Without a TradingView Account
4: 26 – Running a MACD Backtest on Silver
5: 14 – Broker MCP Tools and Account Reports
6: 29 – Broker Skills, Repository Checks and API Keys
7: 08 – Nansen Smart Money Alpha
7: 58 – TraderMonty’s Position Sizer
9: 09 – Handoff Skills and Context Engineering
10: 29 – DaviddTech+ and AI Market Forecasts
11: 43 – Final Thoughts on My Trading Toolkit
12: 02 – GitHub Safety Before You Install

TOOLS AND GITHUB RESOURCES

TradingView Indicator Search MCP:
https://github.com/daviddme/tradingview-indicator-search-mcp-server

TradingView Unified MCP:
https://github.com/daviddme/TradingView-Unified-MCP

Nansen CLI and Smart Money Alpha:
https://github.com/nansen-ai/nansen-cli

TraderMonty’s Position Sizer:
https://github.com/tradermonty/claude-trading-skills/blob/main/skills/position-sizer/SKILL.md

Matt Pocock’s Skills, including handoff:
https://github.com/mattpocock/skills

Also discussed: TradingKit, Claude Code, ChatGPT, Codex, Hermes Agent, GrokBot, Context Engineer and DaviddTech+.

Disclosure: I built the TradingView Indicator Search MCP and TradingKit. DaviddTech+ is presented as an invite-only tool. Some services, data access and AI subscriptions have costs; a public GitHub repository does not make the entire workflow free.

BEFORE CONNECTING TRADING TOOLS

Verify repository ownership, inspect the code and review the permissions you’re granting. Keep API keys and secrets out of chat messages. An AI-assisted code review can help flag issues, but it cannot guarantee that a repository is safe.

💬 Comment “AI TRADING” and tell me which tool you’d add to your setup first: strategy search, backtesting, position sizing or AI handoffs.

Subscribe for more AI trading bot builds, TradingView strategy tests and practical lessons from automated trading.

⚠️ This video is for education and entertainment only, not financial advice. Backtests, forecasts and past results do not guarantee future profits. A high win rate alone does not prove a profitable strategy. Account for fees, slippage, drawdowns and the possibility of losing capital, and forward test before committing real money.

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

#AITrading #ClaudeAI #TradingBot