Crash Prediction

ML-powered crash risk monitoring with historical validation and stress testing

This is the early warning system. Check the signal banner below — if it turns orange or red, review the suggested actions before trading. New here? Start with the Getting Started Guide.

Page Guide

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Summary

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Signal Trend (Last 7 Days)

How to read this: look at the trend column. A string of worsening arrows means risk is building, even if the signal level hasn't changed yet.

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Decision Thresholds

The bottom line: find the row marked "YOU ARE HERE" and follow its suggested action. Each level maps to a specific crash probability and a concrete step to take.

Signal Level
Action
Historical Outcome
What This Means For You
LOW (37% of days)
Normal positioning
5.5% chance of 3% crash in 7d
Market conditions are typical. Stay invested as planned.
MEDIUM (35% of days)
Moderate risk signal
15.3% chance of 3% crash in 7d
Risk is above normal. Historically, tighter stop-losses have helped at this level.
HIGH (21% of days)
Elevated risk signal
29.2% chance of 3% crash in 7d
Nearly 1-in-3 chance of a significant drop. Historically, reducing exposure has been beneficial at this level.
SEVERE (8% of days)
Maximum defense
41.1% chance of 3% crash in 7d
Historically rare and dangerous. In past episodes, defensive positioning has preserved capital.

How Much Could the Market Drop?

Estimated worst-case S&P 500 loss over different time periods. "Likely Worst" means 95% of outcomes are better than this number.

Horizon Extreme (1%) Likely Worst (5%) Magnitude
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How Soon Could a Drop Happen?

Estimated trading days until a drop of each size. Lower numbers = more urgent warning.

Drop Size Fastest 1% Fastest 5% Fastest 10%
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Historical Crashes

How the model performed during known market stress events.

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90-Day Signal History

What's the point? Seeing three months of signal changes alongside SPY price helps spot whether risk spikes predicted actual drops — or resolved harmlessly.

LOW MEDIUM HIGH SEVERE SPY Price 7d VaR
Model: Machine learning crash prediction model with rolling test validation 2011-2024. VaR calibration: 4.5% exceedance vs 5% target. COVID detected 77%, 2022 bear 61%.

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