Learn · The Twelve Measurements — Lesson 7 of 12
The 200-week moving average, explained
Crypto's most famous long-run yardstick is a moving average most stock investors never look at: the 200-week. Four years of closes — roughly one full bitcoin cycle — compressed into a single slow line.
What it measures
The 200-week moving average is roughly a full market cycle. Distance from it is a slow, cycle-scale measure of whether an asset is historically expensive or cheap relative to its own past — not to any target.
Where the daily averages in lesson 1 describe trend over weeks and months, the 200-week average describes where price sits inside its own cycle. Farlens reads the distance between price and this line — the premium or discount to four years of history — as a slow valuation-like measurement: not valuation against cash flows, which crypto doesn't have, but against the asset's own accumulated past.
Why it moves prices
The empirical record is why anyone watches it: across bitcoin's major cycle lows, price has repeatedly found buyers in the neighbourhood of the 200-week average — 2015, 2018–19, 2022 all bottomed close to it — while cycle peaks have printed at multiples of it. Whether that regularity is cyclical psychology, miner economics, or long-horizon accumulation is argued endlessly; the pattern itself has been unusually persistent for an asset this young. A large premium to the line describes late-cycle conditions; price near or below it describes the territory where previous cycles ended.
How to read it
Positive: trading below or near the long-run average. Negative: at a large premium to it.
The line moves so slowly that the reading changes mostly through price, not through the average — which makes it the composite's longest memory. It is deliberately contrarian in shape: the highest readings arrive when price is depressed toward the long-run average, the lowest when euphoria has price at a large multiple of it.
How Farlens uses it
200-week average carries 7.8% of the Farlens composite (weight 0.9 of 11.6 across all twelve measurements). Coverage: Crypto only, where a four-year cycle framing has a track record.
Two conventions matter here. First, a measurement that cannot be observed for an instrument is skipped, never counted as zero — a zero would read as “neutral” and quietly dilute the composite. Second, on any given day a contribution is the measurement's score times its weight, divided by the total weight of the measurements present that day — so the published breakdown always sums to the score beside it. The full stack, with every weight published, is on the signals page.
Why it is absent from the example reading
Farlens publishes one frozen example reading — AAPL on 22 July 2026 — and this measurement is not in it. That is the honest answer, not a gap: Crypto only, where a four-year cycle framing has a track record.
This is a deliberate property of the methodology. A measurement that cannot be observed for an instrument returns nothing, and the composite is computed from the measurements actually present that day — their weights rescale so the reading still sums correctly. Treating “unmeasurable” as “neutral” would quietly dilute every score it touched.
For BTC and ETH readings, this measurement pairs with derivatives positioning as the crypto-only half of the stack: one reads the leverage attached to the asset this week, the other reads where this week sits in a four-year arc. Together they are why a crypto reading is never just recycled stock analysis.
What it cannot tell you
Three honest caveats. The sample is tiny — bitcoin has lived through perhaps four full cycles, which is a thin base for any regularity. The pattern is widely known, and widely-known patterns invite front-running that changes them. And “near the 200-week average” has historically arrived alongside exactly the conditions — collapsed sentiment, forced selling — that make the territory difficult, which a single line cannot convey. It describes cycle position, never a floor.
Frequently asked
Why not compute this for stocks too?
The four-year-cycle framing has an observed track record in crypto specifically. Equities have their own long-run anchors — earnings, book value — that do the cycle-scale work a price average does for an asset without cash flows.
Has bitcoin ever traded below its 200-week average?
Yes — in the depths of major bear markets, briefly. Those episodes are part of why the line is watched, and also proof it is not a floor.
Is this the same as the “Mayer Multiple”?
Same family. The Mayer Multiple divides price by the 200-day average; this uses the 200-week for a slower, cycle-scale read.
Continue the course
- Previous — Lesson 6: Sector rotation
- Next — Lesson 8: Advance/decline pressure
- Course index — all twelve measurements