The Four-Filter Framework for 5x–10x Crash Winners

Crashes are uncomfortable, but the data is pretty clean. After the 2008 and 2020 drawdowns, the average winner returned roughly 5x in 20 months. Some did 9x to 10x. The hard part isn't believing the math; it's recognizing the winners before they run.

I re-ran the winner data from both episodes and pulled out four filters they all cleared. Names that satisfied all four — not one or two — produced the biggest returns.

1. Deep value recovery — quality businesses down 70%+

When panic sets in, everyone sells everyone. Levered funds get margin-called into selling, algos pile onto the trend, and good businesses end up priced like bankruptcies. When the fear fades, the snap-back is mechanical.

Examples: Freeport-McMoRan (FCX) went from roughly $5 to $52 out of the 2020 lows. Royal Caribbean recovered 9–13x in the same window.

The trap to avoid is the value trap. Not every cheap stock is a good stock. PayPal looked cheap on paper and still lost another ~85% from there. That's why the second filter exists.

2. Secular tailwind — a 5–10 year trend underneath

The biggest winners didn't just recover. They rode a multi-year trend the crash didn't kill — digitization, renewable energy, aging demographics, infrastructure renewal. Zoom and Shopify didn't return to 2019 valuations; they printed new highs on top of the recovery because remote work was a structural shift, not a cyclical blip.

The caveat: Zoom also gave most of it back when the tailwind slowed. The tailwind tells you which names can re-rate higher; it doesn't tell you when to leave.

3. Too big to fail — sectors the government won't let break

Modern governments don't allow systemic collapse. Bailouts, stimulus, liquidity injections — different shapes, similar outcomes. Bank of America, Citigroup, and JPMorgan all took TARP money in 2008 and then ran 3–6x. Airlines survived 2020 on government loans and then recovered.

Where to look: large financials, critical infrastructure, defense primes, critical minerals, auto manufacturers — anything a government can convincingly argue is necessary for the country to keep functioning.

4. Commodity cycle — producers, not traders

Recoveries pull on copper for infrastructure, oil for transportation, steel for construction, lithium for batteries — all simultaneously. The names that move the most are producers with low debt and the ability to survive low prices long enough to be standing when prices turn.

Examples: FCX did 7x in 2008 and 10x in 2020 — copper. Occidental Petroleum (OXY) did roughly 6x in 2020. Caveat: commodity rallies don't last. The exit is harder than the entry.

The four-filter overlap is where the 10x lives

Name-by-name, here's the pattern that kept showing up. One filter satisfied: ordinary recovery. Two or three: 5x territory. All four: 7–10x territory. The overlap is what does the work.

Selling is the harder problem

Peloton ran from roughly $20 to $200 out of 2020 — and then gave back 99% of it. Even buying at the bottom, you're down ~75% today if you never sold. Picking winners without exit rules can still hand most of the gains back.

My own portfolio rule is simple: write the entry rules and the exit rules before the position opens, then automate enough of it that emotion can't intervene. Instinctive "this is enough" usually exits too early. Instinctive "it can keep going" usually exits too late.

What you can actually do today

1. Pre-build a watch list from candidates that could clear all four filters. Crashes move fast and decision time is short.
2. Audit your cash. You don't need to be all cash, but having zero dry powder is its own decision.
3. Write down not just your entry zones but your scale-in plan and your scale-out plan — on paper, before the volatility starts.

Macro context lives in my BofA Door to Doom write-up and the S&P 500 concentration risk piece.