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Algorithmic Trading Bot

Uses AWS Chalice, Python, Pine Script, TradingView Charts, and the Alpaca API in conjunction to make

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Claude CodeCursorWindsurfVS CodeDeveloper tool

About

Algorithmic-Trading-Bot

Uses AWS Chalice, Python, Pine Script, TradingView Charts, and the Alpaca API in conjunction to make a stock trading bot which runs in a virtual environment. First, we create a virtual environment then activate it. Next we install AWS chalice into the virtual environment, then create a new chalice project. We edit the code in 'app.py' to make it a POST request, so that everytime something is posted to the API link, the code is executed. We then use TradingView charts to create alerts based on our custom pine script, and within the alerts we paste the API link into the webhook url section. Now, when the alerts hit, the trades will be executed, which signifies that the bot is working. Once the bot is up and running, we can modify our strateges and backtest them.

Don't lose this

Three weeks from now, you'll want Algorithmic Trading Bot again. Will you remember where to find it?

Save it to your library and the next time you need Algorithmic Trading Bot, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

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a-gnt's Take

Our honest review

This plugs directly into your AI and gives it new abilities it didn't have before. Uses AWS Chalice, Python, Pine Script, TradingView Charts, and the Alpaca API in conjunction to make. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

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What's New

Version 1.0.06 days ago

Imported from GitHub

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