Building an AI trading research agent in 2026?
You don’t need another data feed.
You need probability, options structure, and simulation context.
That’s what HPSILab MCP gives you in one connection.
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Pick one big earnings report coming up, like Nvidia's, and post what your agent says beforehand: the odds of a big move and what the options are pricing in. Then post a follow-up after the numbers come out. A trader who sees that before-and-after will get why probability beats another data feed much faster than they would from the line at the top of this post.
Thanks, Ryan — great suggestion. HPSILab currently provides ongoing risk monitoring for stocks and ETFs through hourly checks and pre-market watchlist summaries. Earnings-specific forecasting and options-implied move comparisons are not yet implemented, but your idea is a compelling direction to explore. I agree that publishing forecasts before an event and tracking the actual outcomes is a meaningful way to evaluate whether an AI research agent adds value.
2 comments
Pick one big earnings report coming up, like Nvidia's, and post what your agent says beforehand: the odds of a big move and what the options are pricing in. Then post a follow-up after the numbers come out. A trader who sees that before-and-after will get why probability beats another data feed much faster than they would from the line at the top of this post.
Thanks, Ryan — great suggestion. HPSILab currently provides ongoing risk monitoring for stocks and ETFs through hourly checks and pre-market watchlist summaries. Earnings-specific forecasting and options-implied move comparisons are not yet implemented, but your idea is a compelling direction to explore. I agree that publishing forecasts before an event and tracking the actual outcomes is a meaningful way to evaluate whether an AI research agent adds value.