This page lets you control what information the AI sees when it makes predictions. Think of it as customizing the AI's briefing before it goes to work.

Why Would You Change Settings?

Each toggle enables or disables a piece of information in the AI's briefing. You might want to:

• Focus the AI on the data you think matters most
• Troubleshoot — if a prediction seems off, disable sections one at a time to find the cause
• Experiment — see if the AI makes better predictions with or without certain data

Prediction Prompt Sections

These are the data sections the AI sees when making its initial prediction:

Section	What It Provides
Ticker Sentiment	Overall positive/negative feeling about the company from news
OHLCV Context	Recent price action and technical indicators
Economy Sentiment	How positive or negative the economic news is
Country Economy Sentiment	Sentiment about the company's home country
Ticker Uncertainty	How reliable the sentiment signal is
Economy Uncertainty	Reliability of the economy sentiment
Country Uncertainty	Reliability of the country sentiment
Avg Buzz Score	How much chatter there is about the stock
Re-acceleration	Whether sentiment momentum is strengthening
Momentum Score	Combined momentum from recent news
User Interest	How much attention the stock is getting
Estimates Context	What analysts expect (growth and revenue forecasts)
Financials Context	Revenue, profit, and financial health data
Surprise Context	Recent unexpected events
Surprise Outcomes Context	How the stock reacted to past surprises
Bias Context	Psychology bias scores for the current market
Calendar Context	Upcoming earnings and events
Accuracy Context	How accurate past predictions were

Self-Critique Sections

After making its initial prediction, the AI also reviews its own work. These sections control what it sees during that review.

How to Use

1. Browse through the sections
2. Each section has a toggle switch — green = on, gray = off
3. Changes save automatically — no need to click a save button
4. Changes take effect on the next prediction run

What Happens When You Disable Something

• The AI simply doesn't see that information
• It relies more heavily on the remaining data
• Disable too much, and predictions become less informed
• The system doesn't break — it just has less context

Tips

• Start with everything on for the most informed predictions
• If predictions seem erratic, try disabling the uncertainty sections
• If you want to test, compare accuracy with and without psychology bias data
• Disabling sections reduces usage if you're monitoring costs