I Built A Small Experiment To Collect A Longitudinal Dataset Of Gemini’s Stock Predictions

For ~38 days, a cronjob generated daily forecasts:

•⁠ ⁠30 stocks across different sectors

•⁠ ⁠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, confidence calibration, and prompt-conditioned bias.

### 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

###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
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