Automate trade thesis extraction, routing, and execution across Hyperliquid, Robinhood, and Polymarket.
npx skills add https://github.com/rohunvora/paste-trade-skill --skill trade-rohunvora
Please help me install this Agent Skill. Skill: trade Source: https://github.com/rohunvora/paste-trade-skill/tree/main Command: npx skills add https://github.com/rohunvora/paste-trade-skill --skill trade-rohunvora
This Skill transforms raw market observations, tweets, articles, and podcasts into executable trades on platforms like Hyperliquid, Robinhood, and Polymarket, automating the entire process from idea to execution.
/trade with the tweet URL, and the Skill will find the best way to trade that thesis, whether it's a Hyperliquid perp, a Robinhood stock, or a Polymarket prediction.Use the trade skill with the URL of a tweet, article, or podcast to find and execute trades.
High-intent search queries and answers about installing and using this skill.
You can automate trading from tweets and articles by providing the content URL to a multi-step pipeline that extracts the market thesis, discovers financial instruments across Hyperliquid, Robinhood, and Polymarket, and routes the execution. This handles research, pricing, and trade posting end-to-end.
Automated trade routing for market theses is the process of identifying a tradeable narrative from media sources and matching it to the best available venue. It cross-references extracted insights to find and price corresponding stocks, perps, or prediction market contracts.
Yes, the automated trading pipeline works with podcast audio by leveraging yt-dlp to download and extract market observations from the media. It then processes the extracted content through its standard instrument discovery and execution routing workflow.
Yes, you need bun and yt-dlp installed to execute automated trades through this pipeline. These dependencies are required for running the scripts and extracting market insights from media sources before routing them to trading venues.
Yes, you can route market theses to both crypto and stocks by using the cross-platform instrument discovery feature. It evaluates the extracted narrative and finds the best matching instrument across crypto venues, stock brokers, and prediction markets.
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