For ~38 days, a cronjob generated daily forecasts: • 10-day horizons • ~30 predictions/day (different stocks across multiple sectors) • Fixed prompt and parameters Each run logs: • Predicted price • Natural-language rationale • Sentiment • Self-reported confidence Because the runs were captured live, this dataset is time-locked and can’t be recreated retroactively. Platform I built a simple MVP to explore the data interactively: https://glassballai.com/ https://glassballai.com/results You can browse and crawl all recorded runs here https://glassballai.com/dashboard Goal This is not a trading system or financial advice. The goal is to study how LLMs behave over time under uncertainty: forecast stability, narrative drift and confidence calibration. Dataset After ~1.5 months, I’m publishing the full dataset on Hugging Face. It includes forecasts, rationales, sentiment, and confidence. (Actual prices are rehydratable due to licensing.) https://huggingface.co/datasets/louidev/glassballai Plots The attached plots show examples of forecast dispersion and prediction bias over time. Stats: Stocks with most trend matches: ADBE (29/38), ISRG (28/39), LULU (28/39) Stocks with most trend misses: AMGN (31/38), TXN (28/38), PEP (28/39) Feedback and critique welcome. submitted by /u/aufgeblobt
Originally posted by u/aufgeblobt on r/ArtificialInteligence