After the last post, many of you wondered:
"What does BTC usually do after a move like this?"
Nobody can fully predict the future, but we can look for similar historical events and see what happened next.
For reference: we'll use Binance Futures data for the purposes of this research post.
Futures are useful here because liquidation-driven moves often show up clearly in perp data.
What Happened
First, let's see what happened.
February 5 was a classic "capitulation day":
A large daily drop, heavy intraday selling, a close near the day's low, and a major activity spike.
Historical Comparisons
There were at least 5 similar historical events in the Bitcoin Futures data.
These were:
- 2020-03-12 (COVID crash)
- 2022-01-21
- 2022-05-09
- 2022-06-13
- 2022-11-09 (FTX collapse)
The image below maps these analogs (orange) versus all -10%+ days (blue) and highlights Feb 5 (green).
![What 13 major BTC crashes tell us about what's next [Market Analysis], image 1](/img/research/bitcoin-crash-patterns-10-percent-capitulation-algocratai/inline-1.webp)
For robustness, we'll also look at a broader sample of 13 historical days where the close-to-close daily return was lower than -10%.
We need a full 30-day window after each event for proper analysis.
![What 13 major BTC crashes tell us about what's next [Market Analysis], image 2](/img/research/bitcoin-crash-patterns-10-percent-capitulation-algocratai/inline-2.webp)
Key Finding: Short-Term Bounces Are Common
One of the main insights:
A short-term bounce is common.
Across those 13 crash days with -10%+ drops, the median next-day return is +2.8% (mean +3.7%).
So, mean reversion often happens.
But Second Dips Are Even More Likely
The "second dip" base rate is even higher.
Within the next 30 days after a -10% crash day, BTC traded below the crash-day low at least once in 92% of cases (12/13).
That's why crash-day mean reversion can be profitable but dangerous:
The market often bounces first, then retests (and sometimes breaks) the low later.
![What 13 major BTC crashes tell us about what's next [Market Analysis], image 3](/img/research/bitcoin-crash-patterns-10-percent-capitulation-algocratai/inline-3.webp)
The Counterintuitive Reality
This seems counterintuitive:
"If a rollback is likely, how can the market usually go lower?"
The distribution of outcomes after the crash is two-sided:
BTC can rebound sharply and still print a lower low inside the next week/month.
A "risk/opportunity map" makes this obvious:
Many crash episodes include both +5% to +15% upside and -5% to -15% downside within the same week.
February 6: The V-Bounce
One more nuance:
Feb 6 was a strong V-bounce.
In the Binance Futures dataset, the pattern "-10% crash day + next day ≥ +5%" happened only 4 times historically.
In those cases, the probability of a deep second leg (5% below the crash low) fell to 25% (1/4), but big pullbacks from the bounce were still common (-11% to -24% within 30 days).
![What 13 major BTC crashes tell us about what's next [Market Analysis], image 4](/img/research/bitcoin-crash-patterns-10-percent-capitulation-algocratai/inline-4.webp)
What This Means for You
We've seen numerous analyses predicting both outcomes over the last few days.
However, the statistical evidence doesn't provide a clear answer.
Expect a bounce — and respect the high retest/volatility risk.
If You:
Trade the rebound, do so with a plan for tails.
Missed the rebound, chasing is usually worse than waiting for pullbacks.
Want to stop guessing and automate the whole process with a:
- Time-tested
- Proven
- Fully algorithmic approach
It's as easy as signing up with Algocrat AI.
Best,
The Algocrat AI Team