Test a daily strategy that selects the top 10 Trump Trades using Quiver Quantitative, but treat it as unproven: no specific stocks or performance results are provided. Run it in Alpaca paper trading first and review results over time before considering real money.

Copying Trump Trades (Political-Disclosure Strategy)

• The tutorial shows how to use Quiver Quantitative’s Trump Trades data to select stocks for a portfolio. A basic routine picks the top 10 trades of the day and rebalances daily.
• An expanded routine uses Trump-trade data as its primary source and lets the user adjust parameters such as risk profile.
• Nancy Pelosi and other traders are mentioned as additional data available through Quiver Quantitative, but the demonstrated strategy uses Trump-trade data.
• The transcript names no specific stocks or tickers, and provides no performance results, price targets, or investment timeline beyond daily rebalancing.

Takeaways

• Treat this as a strategy to test, not as evidence that copying disclosed trades will outperform. The tutorial demonstrates how to automate selections but does not establish that the picks are profitable.
• The demonstrated setup uses a paper-trading account, so you can observe how the routine behaves without investing real money.
• Before considering a live strategy, review the selections and assess the results over time; the transcript does not provide evidence of the algorithm’s historical performance.

Alpaca Paper Trading

• Alpaca is used to execute and track the tutorial’s mock portfolio through its API.
• The account shown is in paper-trading mode: it uses fake money, and the host says no real money or actual financial risk is involved in that setup.

Takeaways

• Paper trading can help you test an automated strategy before committing real capital.
• The transcript demonstrates the mechanics of connecting an AI routine to a mock portfolio, not a recommendation to buy any particular stock.

Quiver Quantitative Data and Tools

• Quiver Quantitative provides the trading data used by the routine, including political-trading data and information on insiders and hedge funds.
• The tutorial accesses this data through Quiver’s MCP server in Claude. It requires an active API subscription, according to the host.

Takeaways

• The service is presented as a data source for building and testing trading strategies, not as an investment asset or a specific stock recommendation.
• No individual companies, securities, cryptocurrencies, or specific trade signals are identified in the transcript.