scandal-market-agent-builder

You can build prediction market agents for scandal detection by using this Skill to automate the creation of Agent2 agents. It generates specialized roles like market-finder and market-sentinel to analyze and react to public opinion in prediction markets.

For Polymarket market analysis, you can create market-finder, market-sentinel, impact-pricer, and paper-trade research agents. These specialized roles automate the discovery and monitoring of markets influenced by social media trends and scandals.

Yes, you need Python and the Agent2 environment setup to create scandal-reactive market agents. These prerequisites are required to run the scripts and generate the automated market analysis and social sentiment monitoring agents.

An impact-pricer agent evaluates prediction markets affected by public opinion by automating price impact analysis within the Agent2 framework. It reacts to social sentiment and scandal detection data to inform paper-trade research decisions.

Yes, you can use this Skill to monitor social media trends impacting prediction markets. It builds Agent2 agents like the market-sentinel that specifically watchlist and analyze markets influenced by shifting public opinion and scandals.

The best way to automate paper-trade research for scandal-reactive prediction markets is to generate a dedicated paper-trade manager agent. This Skill streamlines building that Agent2 role to execute simulated trades based on social sentiment analysis.