The Bitcoin Risk Metric, Explained
A Bitcoin risk metric compresses everything about "is Bitcoin cheap or expensive right now?" into a single number between 0 and 1. Here's how a composite metric is built, what each component measures, and how to use it to make your DCA strategy smarter.
Why a single score?
No single indicator captures Bitcoin's cycle. Price alone tells you nothing about value; the 200-week moving average is slow; the halving cycle is a rough calendar, not a valuation. A composite risk metric blends several complementary signals, normalizes each one against Bitcoin's full history, and weights them into one score:
- 0.0–0.2 — statistically very cheap (historically the best accumulation zone).
- ~0.5 — fair value, mid-cycle.
- 0.8–1.0 — statistically stretched (historically where cycles topped).
The four components
BTC Strategy's metric combines four factors, each percentile-normalized over Bitcoin's entire price history so the score is comparable across cycles:
| Component | Weight | What it measures |
|---|---|---|
| Power law | 50% | Price vs. Bitcoin's long-term log-log regression line from genesis. |
| Price / 200-week MA | 30% | How far price sits above its 200-week moving average. |
| Halving cycle | 10% | Position in the ~4-year cycle (risk tends to peak roughly 18 months post-halving). |
| 12-week velocity | 10% | Momentum — the log rate of change over the last 12 weeks. |
1. Power law (50%)
Bitcoin's price has historically tracked a remarkably stable power-law trend on a log-log scale. Measuring how far above or below that long-term line price currently sits is one of the most robust valuation signals available — which is why it carries the heaviest weight.
2. Price / 200-week moving average (30%)
The 200-week moving average has acted as a long-term floor across multiple cycles. The ratio of price to this average is a classic gauge of how extended the market is.
3. Halving cycle (10%)
Bitcoin's supply issuance halves roughly every four years. Modeling where we are in that cycle adds context that pure price can't — a small but useful weight.
4. 12-week velocity (10%)
Momentum matters: rapid parabolic moves raise risk even when longer-term valuation hasn't caught up yet. A short velocity term captures that.
How to use it for DCA
The metric isn't a buy/sell oracle — it's a position-sizing tool. Instead of buying the same amount every week, you scale your buys to the score: heavier when risk is low, lighter (or paused) when risk is high. That's the core of a smart DCA strategy.
Two cautions. First, no metric predicts the future — these are probabilities calibrated on past cycles, and Bitcoin's behaviour can change. Second, a risk score is only useful if you actually act on it mechanically; its whole value is removing emotion from the decision.
BTC Strategy computes this composite score live from full historical data and turns it into a weekly DCA signal, so you don't have to calculate any of it by hand.