We ran the method on every business day since 2007, using only data that had been published by that day, and checked it against 31 stress events. Here is everything: what it caught, what it missed and why, and how we tested it for hindsight.
The overall level for every week, and each area beneath it. Dots mark major market events. Move across the chart to read any week.
Every event we test is listed, including those the method missed or caught only after they began.
| Event | Date | First warning | Highest level |
|---|---|---|---|
| BNP Paribas freezes fundsThe first crack of the credit crunch, with no stress visible beforehand. Caution a week later, Alert by March 2008, six months before Lehman. | Aug 2007 | 7 days after | Caution |
| Bear Stearns rescue | Mar 2008 | 88 days before | Alert |
| Lehman Brothers collapse | Sep 2008 | Already elevated for 3+ months | Alert |
| Flash crash and Greek crisis | May 2010 | 87 days before | Alert |
| Euro crisis and US downgrade | Aug 2011 | 7 days before | Alert |
| Spain's bank bailout | Jun 2012 | 24 days before | Caution |
| Taper tantrumTriggered by one Federal Reserve speech: a bond repricing, not a crisis. | May 2013 | 22 days after | Caution |
| Russia seizes Crimea (Geopolitics area)A covert overnight operation with no public build-up. Alert within two weeks; markets barely moved. | Feb 2014 | 5 days after | Alert |
| US Treasury flash rallyA 12-minute trading glitch; markets were normal within hours. Staying calm was right. | Oct 2014 | No warning | Stable |
| China devaluation sell-off | Aug 2015 | 3 days before | Caution |
| Oil collapse and early-2016 sell-off | Feb 2016 | 35 days before | Caution |
| Brexit vote | Jun 2016 | Same day | Caution |
| Volatility crash (Volmageddon) | Feb 2018 | Same day | Caution |
| Christmas Eve sell-off | Dec 2018 | Same day | Caution |
| US repo market spike | Sep 2019 | 43 days before | Caution |
| Covid crash | Mar 2020 | 11 days before | Alert |
| Oil price below zero (Commodities, energy and shipping area) | Apr 2020 | 42 days before | Alert |
| Archegos fire sale | Mar 2021 | 52 days before | Caution |
| Russia invades Ukraine (Geopolitics area) | Feb 2022 | 7 days before | Alert |
| Terra/Luna collapse (Crypto area) | May 2022 | Same day | Alert |
| UK gilt crisis | Sep 2022 | Already elevated for 3+ months | Alert |
| FTX collapse | Nov 2022 | 76 days before | Alert |
| Silicon Valley Bank | Mar 2023 | 88 days before | Caution |
| Credit Suisse rescue | Mar 2023 | 69 days before | Caution |
| Hamas attack on Israel (Geopolitics area)A surprise attack that intelligence services missed. Alert within ten days. | Oct 2023 | 5 days after | Alert |
| Red Sea shipping attacks (Commodities, energy and shipping area)Ships rerouted gradually over weeks; Caution about a month in, as traffic fell. | Dec 2023 | No warning | Stable |
| Extreme geomagnetic storm (Infrastructure: cyber and space area) | May 2024 | Same day | Alert |
| Yen carry trade unwind | Aug 2024 | 3 days before | Caution |
| DeepSeek shock to tech stocks (Technology area)A shock to single companies (Nvidia fell 17%, the Nasdaq-100 about 3%). Seeing it needs company-level data, which is planned. | Jan 2025 | No warning | Stable |
| Tariff crash | Apr 2025 | 24 days before | Caution |
| Strait of Hormuz closure (Commodities, energy and shipping area) | Mar 2026 | 10 days before | Alert |
Some crises start as surprises. A covert invasion or a surprise attack leaves no public trace beforehand, and no service can warn before it. What matters then is hearing the same day what it means and whether it is spreading: in each case here, the reading followed within days.
Some shocks are not crises. A 12-minute trading glitch or a market's reaction to one speech can look dramatic and fade within hours or weeks. Staying calm through them is the point: a service that alerts on every blip is noise.
Some blind spots are known. Shocks to single companies need company-level data, which we will add. We would rather show you the gaps than hide them.
No method sees a surprise coming. Ravenmaster sees most crises building, tells you the same day when one starts, and stays quiet when nothing is wrong.
About these results. They are hypothetical: no reports were sent on these dates. The method was designed in 2026, with knowledge of these events, and a method tuned on past crises tends to look better on them than it will on the next one. Past readings do not guarantee future ones, and no method catches every crisis.
Out-of-sample check. To test for hindsight, we set every threshold by one fixed rule using only 2007–2016 data, locked them, and ran the method on 2017–2026, which the rule never saw. It still showed Caution or Alert in the 30 days before 16 of the 19 events of that period. Caution is common under that rule, about a quarter of days, so a random day has one in the 30 days before about half the time; 16 of 19 by chance would happen less than 1% of the time. Alert is rare, about 2% of days, and 10 of the 19 events reached it. We chose the events, and nineteen is still a small sample.
Every market data series and every official and news source we read is listed, with its publisher and what it tells us.