Bitcoin 200-Week Moving Average Chart
The 4-year cost centroid — live price-to-200W-MA multiple. This is the compact Tools edition; the wider professional analysis workspace is available in the Charts Hub.
How to read the 200-week moving average
The 200-week moving average is the mean of Bitcoin’s weekly closes over roughly four years—about one full halving cycle. The chart plots weekly price and the 200-week average on a log scale and shows the current price divided by the average.
Key points
- A multiple near or below 1 means price is close to its long-run average; historically this has appeared late in bear markets.
- A high multiple means price is far above its long-run average, and volatility and drawdown risk are usually larger.
- Read it with the power-law percentile and the cycle thermometer; that is more reliable than one average alone.
Data and limits
The average is computed from exchange weekly candles since 2018; the latest week uses the live price, so the reading changes until the weekly close. Past patterns are not guaranteed to repeat.
Common questions
Why does the 200-week moving average get so much attention?
Two hundred weeks covers roughly one full halving cycle, so the line approximates Bitcoin’s long-run average cost. Several past bear-market lows formed near it, which is why it is used as a long-term valuation reference.
What does it mean when price falls below the 200-week average?
Price is below its long-run average. In the 2022 bear market price fell clearly below the line, so it is not an absolute floor; treat it as a low-valuation zone rather than a precise entry point.
Read next
How the Bitcoin 200-Week Moving Average Chart works
This chart plots Bitcoin’s weekly price against its 200-week simple moving average and shows the current price-to-average multiple. Long-term holders use it to see how far price has stretched above or below its multi-year average.
What you enter
- None; it uses exchange weekly closes since 2018 and the live BTC price.
What it shows
- Log chart of BTC weekly closes and the 200-week MA
- Current price / 200-week MA multiple (×)
- Current 200-week MA value and BTC price
How to use it
- Read the "Price / 200-week MA" multiple in the result box.
- Note the current 200-week MA value shown below it.
- On the chart, compare the orange price line with the cyan 200-week MA line.
- Check the multiple’s color: green at 1× or below, yellow from 2×, red from 3×.
- Cross-check with the power law or Mayer Multiple pages for another view.
Formula
200W MA = average of the last 200 weekly closes; multiple = current price ÷ 200W MA.
Worked example
If BTC is at $90,000 and the 200-week MA is $45,000: 90,000 ÷ 45,000 = 2.00×, shown in yellow (≥ 2×). At $40,000 the multiple would be 0.89×, shown in green (≤ 1×).
How to read the result
- A multiple near or below 1× has historically coincided with deep bear-market phases.
- Rising multiples above 2–3× mean price is far above its multi-year average.
- The slope of the average itself shows whether the long-run mean is still rising.
Limits and cautions
- The average is a historical reference, not a guaranteed floor; price fell below it in 2022.
- This page builds the average only from evenly spaced weekly data since 2018, so the line starts about 200 weeks later.
- A lagging average reacts slowly to regime changes.
Common questions
What is the Bitcoin 200-week moving average?
The simple average of the last 200 weekly closing prices, roughly four years, often used as a long-term trend reference.
Has Bitcoin ever traded below the 200-week MA?
Yes. Price fell below it in 2022, so it should not be treated as guaranteed support.
How is the 200-week multiple different from the Mayer Multiple?
The Mayer Multiple divides price by the 200-day moving average; the 200-week multiple uses the 200-week average, a much longer window.
🌡 Latest BTC cycle reading: 43/100 · Neutral Zone (as of 2026-10-19). BTC Cycle Thermometer: Bitcoin top or bottom?
Open the full-screen chart workspace
Free to use with no signup. Read Bitcoin valuation, cycle, backtests and alerts, and calculate fees, slippage, funding and post-rebate cost before trading.