Predictions

This page shows every prediction our statistical models have made. Each prediction says whether a stock will go up or down, with a confidence score. After the target date passes, we grade it against what actually happened — that's how the engine learns and improves.
0
Total Predictions
0%
Accuracy
Best Model
0
Current Streak
Where we have edge — per market regime
Reliability = how close stated confidence matches realized accuracy. Brier ≈ 0.25 means coin-flip; lower is better.
We don't pretend to beat every regime. The publish gate adapts: trend regimes show calls at lower confidence (we have edge there); chop regimes hide everything below a higher gate (humility tax).
trend low vol
gate 55%
25.3% accuracy (91)
brier 0.000 reliability 70
trend high vol
gate 60%
40.1% accuracy (157)
brier 0.000 reliability 85
chop low vol
gate 65%
36.5% accuracy (63)
brier 0.000 reliability 89
chop high vol
gate 70%
34.9% accuracy (86)
brier 0.000 reliability 76
unknown
gate 65%
no graded calls yet
Calibration — does X% confidence actually mean X% right?
Gap = realized − midpoint. Positive = under-confident, negative = over-confident.
50–59%
37.3% -17.7 pp
67 graded
60–69%
31.7% -33.3 pp
183 graded
70–79%
40.8% -34.2 pp
49 graded
80–89%
no graded calls yet
90%+
no graded calls yet
Showing only high-conviction calls. The publish gate is per-regime — see the reliability card above for each regime's threshold. Low-conviction calls are still tracked for learning, but hidden from the public board to keep the signal clean.
Stock Model Direction ?
The predicted direction. ↑ means the model expects the price to go up, ↓ means down.
Predicted Price Confidence ?
How certain the model was about this prediction. Ranges from 0-100%. The engine tracks whether high-confidence predictions are actually more accurate.
Target Date Actual Price Result ?
Whether the prediction was correct. ✓ = right, ✗ = wrong, ⏳ = not yet graded (target date hasn't passed yet).
No predictions match your filters.