Binance News Sentiment Bot
This is a fully functioning Binance trading bot that takes into account the news sentiment for the t
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About
Fully functioning Binance Trading bot that Buys cryptocurrency based on Daily news sentiment from the top 100 crypto feeds.
Main Features: Pull and analyse the last headline from the top 100 crypto news sites
Provide an overview on the most mentioned coin across all the headlines
Analyse the sentiment of each headline and categorise the output by coin
Place a Buy order if the compound sentiment is positive
The bot sells %99.5 of the coins it bought in order to avoid exceptions
"coins_in_hand" dictionary stores the amount of coins the bot bought and currently holding.
Configurable options
Works with any number of cryptocurrencies
For a complete step-by-step setup guide please see: https://www.cryptomaton.org/2021/04/17/how-to-code-a-binance-crypto-trading-bot-that-trades-based-on-daily-news-sentiment/
Don't lose this
Three weeks from now, you'll want Binance News Sentiment Bot again. Will you remember where to find it?
Save it to your library and the next time you need Binance News Sentiment 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.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. This is a fully functioning Binance trading bot that takes into account the news sentiment for the t. 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.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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