About DrawdownAlerts
Our Mission
DrawdownAlerts was built on a simple observation: some of the most consequential moments in the stock market come when prices fall significantly below their all-time highs. But knowing when a drawdown is truly unusual requires data, not gut feeling.
We built DrawdownAlerts to replace emotional decision-making with statistical analysis. Our proprietary Drawdown Severity Score uses up to 40 years of historical data to measure how unusual a current price decline is, so investors can see at a glance when a decline is statistically rare for that asset.
What We Do
- •Monitor stocks, ETFs, and cryptocurrencies for drawdowns from all-time highs
- •Calculate Drawdown Severity Scores measuring the statistical rarity of price declines
- •Send automated alerts when assets reach historically unusual drawdown levels
- •Provide educational resources on drawdown-based investing strategies
Our Approach
Data-Driven
Decisions based on 40 years of historical patterns, not opinions.
Transparent
Our methodology is published openly at /methodology/.
Patient
We believe long-term investors are best served by historical context on rare declines, not by market timing.
Accessible
Free tier lets anyone monitor 3 stocks forever.
Data & Methodology
Our analysis is built on standard deviation analysis applied to historical drawdown data. We update all monitored assets daily after market close, covering US stocks, ETFs, and major cryptocurrencies with up to 40 years of price history.
For a complete explanation of how we calculate drawdown severity, interpret statistical rarity, and generate alerts, visit our full methodology page. You can also learn more about how DrawdownAlerts works from a practical standpoint.
Who Builds DrawdownAlerts
DrawdownAlerts is built and maintained by a small independent team that created the Drawdown Severity Score and writes the educational guides in the Learn library. We stand behind the numbers rather than personalities: every published figure comes directly from the same dataset that powers the product, the calculation method is documented openly on the methodology page, and anything we get wrong can be reported straight to the team via the contact page.
Contact
Have questions, feedback, or need support? Visit our contact page or reach us directly at [email protected].
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