Key insights
- The post discusses using AI to identify trading opportunities based on cross-asset correlations and seasonal trends. The proposed system aims to monitor equities, forex, commodities, crypto, and bonds, triggering alerts based on historical relationships. The inclusion of retail sentiment (Reddit) and tracking congressional trades suggests a focus on short-term, potentially speculative strategies. The overall impact on US equities is slightly negative, reflecting the risks associated with relying on unproven AI models and sentiment-driven trading.
Yo folks, anyone here using AI?
I have been thinking of how to use AI in investing.
Right now I’m looking at certain sure-fire way to “jump” on waves:
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Follow the noise when Redditors (many on WSB) mentions a stock.
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Track US Congress trades.
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Jesse Stine’s super stocks
Now I have an idea.
I want to build an AI-driven alert system that flags actionable trading opportunities based on cross-asset correlations and seasonal trends.
The Idea:
Financial markets are highly interconnected. The goal is to program an AI model that constantly monitors multiple asset classes (Equities, Forex, Commodities, Crypto, Bonds) to identify leading indicators and correlations. If Asset A and Asset B historically move together, and A suddenly spikes, the system triggers an alert for B.
I also want to factor in seasonality…essentially training the model to recognize how specific stock prices behave on certain days/weeks of the year based on historical macro data and calendar anomalies.
Anyone wants to join me and work on it?
(This is not AI)