Bitcoin this week, day by day: -0.1%
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The week is nearly in the books: Bitcoin moved from $76,842 at Monday's open to $76,728 on Friday night, -0.1%. Below, the day-by-day closes, the projection check and which market moment this week belonged to.

The week, from Monday to tonight
Bitcoin opened the week at $76,842 and goes into Friday night at $76,728: down 0.1% on the week. The best day was Monday at +1.8%, the worst was Tuesday at -3.3%. The full day-by-day sits in the data box above.
That is the recap's whole job: what actually happened, priced and dated, before the weekend rewrites it into a story. Whatever narrative the timeline settles on, these closes are the part nobody gets to edit.
Last week, same series: The Bitcoin week, settled: -4.2%. That range is already settled and published, hit or miss.
The range comes out of a four-model engine, reweighted every week against the real record. How it is calculated, step by step.
How close the projection got
The committed weekly range said $72,499 to $76,592, frozen before the week started. Tonight's price of $76,728 sits outside it, 0.2% beyond the top edge.
The range does not settle tonight: it resolves at its own expiry, and the verdict gets published either way, like the 9 of 11 weekly ranges before it. This is the midweek-to-Friday photo, not the final whistle.
The precedents, for what they are worth
Context first, verdict after. Scanning roughly nine years of daily closes for weeks with a similar move and a similar range turns up 79 precedents. In the seven days that followed them, the median move was -0.1%, and 38 of the 79 closed higher.
Read that as a base rate, not a forecast. 79 weeks is a small sample, no two market regimes rhyme exactly, and the model behind the published ranges does not use this table. It is context for the weekend take, nothing more.
The market moment this week belongs to
Now the part most readers skip. Read through the structure engine behind the market moment alerts, this week belongs to a quiet, directionless tape: the weekly degree points up and the daily one down. That is the frame the week's candles were painted inside.
The Tuesday piece digs into that structure in detail. The recap only needs the label: a week means something different inside an uptrend than inside a correction, and pretending weeks float free of context is how recaps mislead.
What the public log says so far
9 of the 11 projected weekly ranges published so far resolved inside the band. Every one of them was frozen before its week, and every result went up afterwards, including the ones that went wrong.
There is a trap in that number worth naming. A band that contains the close every single time is not a good model, it is a wide one. The published band is the middle half of the distribution, so a properly calibrated engine should land inside about half the time. A hit rate far above that means the bands are wider than they should be, which is a miscalibration too, just the flattering kind.
What happens next
One layer deeper. The next projected range is drawn over the live Bitcoin chart in the app, alongside the dated zones for the longer horizons, and it is recalculated on the server every day so that every visitor sees the same numbers. Nothing here is computed in your browser and nothing is personalised.
None of this is investment advice. It is one statistical model keeping its numbers where anybody can check them, including the weeks it gets wrong.
Frequently asked questions
What did the Bitcoin price do this week?
It went from $76,842 at Monday's open to $76,728 on Friday night, -0.1%. The best day was Monday and the worst was Tuesday; the full day-by-day sits in the article's data box.
Is this a Bitcoin price prediction?
No. It is a projected price range: the central band of thousands of simulated scenarios, published before the fact and checked after. Here it covered $72,499 to $76,592. It is educational content and it can fail; it is not investment advice.
How is the Bitcoin range calculated?
With a combined engine of four models: a power law over a decade of price history, a Monte Carlo simulation driven by GARCH volatility, an Ornstein-Uhlenbeck residual model and an implied density read from the Deribit options surface. They are pooled into one distribution and reweighted every week against real history, with around fourteen live data sources feeding a bias layer on top. The published band is its middle half, frozen before the period starts so it cannot be adjusted after the fact.
Published before the fact
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