Money & Markets

45 Selloffs, Not 289: What Bitcoin's 15% Week Really Signals

Bitcoin fell 15.4% to $64,114, but a 15-year Bitstamp study of 45 similar episodes finds the drop predicts almost nothing: 24 rebounds, 21 slides.

By Grace Kim

3 min read

45 dips, not 289: what a 15% week has and has not told you
45 dips, not 289: what a 15% week has and has not told youBehnam Norouzi / unsplash

What's News

  • Bitcoin closed Nov 14 at $64,114, 15.4% below its $75,747 close on Nov 7 (Bitstamp).
  • 289 days since Aug 2011 saw a 14% weekly drop, but they collapse into 45 episodes — Saturday started the 46th.
  • 30 days after each episode: higher 24 times, lower 21; median +3.6%, range -51.4% to +183.6%.
  • 90 days after: higher 26, lower 19, median +10.1%.
  • The 95% Wilson interval on 24-of-45 spans 39% to 67% — statistically indistinguishable from a coin flip.

Bitcoin closed Saturday at $64,114 on Bitstamp, 15.4% below its $75,747 close seven days earlier. A TradingView analyst who goes by harrell.jordon went back through 15 years of price history to answer the question every holder is asking: what actually follows a week like this?

His answer, in one line: the drop itself carries almost no signal.

How the study works

The rule is simple. A trigger day is any daily close that sits 14% or more below the close seven days earlier. The dataset is Bitstamp BTCUSD daily bars from August 18, 2011 to November 14, 2026. No trading costs are applied, because as the author puts it, "nothing here is a trade."

Two counts come out of that data:

  • 289 earlier days met the 14% rule since 2011.
  • Those days collapse into 45 separate episodes, where an episode starts on a triggering day with no trigger in the prior 30 days.

Saturday, November 14 marked the start of episode number 46.

What followed the previous 45 episodes?

Measured from the first day of each earlier episode, the record is close to even:

  • 30 days later: higher 24 times, lower 21 times. Median return +3.6%. Range: -51.4% to +183.6%.
  • 90 days later: higher 26 times, lower 19 times. Median return +10.1%.

The 95% Wilson confidence interval on that 24-of-45 result runs from 39% to 67%. In the author's words, "That is a coin flip that cannot be told apart from a mild edge or a mild disadvantage, with a spread wide enough to hold both a halving and a near tripling."

The takeaway in plain words: after a 14% weekly drop, Bitcoin has risen about as often as it has fallen, and the outcomes have ranged from losing half your money to nearly tripling it.

Why 289 days is really 45 episodes

The second finding is methodological, and it matters for anyone who has seen similar "buy the dip" studies shared this week.

A study of "buy after a 14% week" that treats each of the 289 triggering days as an independent observation is overstating its sample by roughly 6.4 times, the author writes, because those days overlap and move together. Clustering them into episodes gives 45 honest data points — and those 45 span very different market eras, from Bitcoin's early fractional-dollar years to its institutional phase.

Two conclusions, in the author's own framing:

  1. "The drop by itself is not the information. It has come before both outcomes about equally often."
  2. "Sample size." The 289-day framing reports about 6.4 times the evidence that actually exists.

How to check it yourself

The author lays out the replication steps: on the daily chart, compute close divided by the close seven bars earlier minus one; mark every day at or below -0.14; group marks that fall within 30 days of each other; then compare the close 30 bars after each group's first day against that day's close.

The study describes past data only. As harrell.jordon states plainly: "It is not a forecast and it is not advice."

For traders weighing the two loudest readings of this week — "deep value" versus "get out" — the historical record offers neither. Forty-five episodes across 15 years say a 14% weekly drawdown in Bitcoin has preceded near-equal counts of recoveries and further slides. The honest answer to what comes next is that the sample doesn't know.

Source: tradingview.com

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Grace Kim

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Market editor covering people, launches and day-to-day practice in entrepreneurship, startups and venture funding at Business Bearings.

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