#001 · Crypto
The crypto regime indicator
Bitcoin made those who held on rich, and along the way repeatedly wiped out 70 to 85% of their wealth. This study tests whether public blockchain data lets you see in time when things turn dangerous, so you can temporarily move to cash.
- Test period
- 2015–2026
- Positions
- 28
- Costs
- 0.15%
The strategy achieved both a better return and a smaller drawdown.
How deep do you want to go?
1At a glance
Read these figures as one whole, not in isolation. A single strong number says little without the drawdown and the period next to it.
2Why we test it this way
The strategy has only two states: invested in Bitcoin, or on the sidelines in cash. No leverage, no shorting (long-flat). A stress thermometer built on public on-chain data sets the state: invested when calm, to cash as stress rises. The question is simple: can you largely avoid the two deep crypto winters without giving up your return along the way?
Test period January 2015 to June 2026 (11.4 years), deliberately started at the trough after the 2014 crash, the most favorable starting point for buy & hold, and therefore the toughest test for the strategy. This is a backtest: a measurement of the past, not a prediction. All headline figures include 0.15% trading costs per switch.
We test it this way because a strategy is only worth something if you can actually stick with it. Readability and the psychology of holding on matter as much as the numbers: a mechanical rule with few switches is easier to follow than a gut feeling, and we show the downsides as prominently as the upsides.
3How it works, in outline
The stress thermometer combines four signals. What each one watches, from the heaviest to the lightest in the model:
| Signal | What it watches |
|---|---|
| Distance from the peak | How far the price sits below its recent high: the direct panic gauge, and deliberately the heaviest signal. |
| Young supply | The share of coins traded recently. Plenty of fresh supply goes with healthy inflows and dampens false alarms, the only signal that pulls the thermometer down. |
| Loss-selling | Whether recent buyers are selling at a loss, behaviour that clusters at the start of declines. |
| Below the purchase price | Whether the price is below recent buyers' average cost, when selling pressure tends to build. The lightest signal. |
The four are combined into a single stress reading from 0 to 100 and lightly smoothed. Above a stress threshold the strategy moves to cash; only once the thermometer falls back to calm does it step in again. That wide margin between out and in prevents nervous back-and-forth switching, hence 2 to 3 positions per year. The position lags one day: the signal lands at today's close, you trade the next day, so there is no same-day look-ahead. The exact weights, the normalisation and the precise thresholds are the recipe of the model and are shown in the full version.
4The trajectory
Strategy (orange) and Bitcoin buy & hold (gray), both starting at 1, logarithmic scale. The band beneath the curve shows when the strategy was invested (orange) and when it sat in cash (grey); the difference arises almost entirely in the two deep winters, not from hitting tops or bottoms.
Over these 11.4 years the strategy took 28 positions and was invested 57.5% of the time. Final result ×412 against ×196 for buy & hold, with a deepest drawdown of −57.5% against −83.6%. Read the combination, not the individual figures: the higher return comes almost entirely from not having fully lived through the two winters.
5Crash by crash
2018-winter
Bear phase- Strategy drawdown
- −28%
- Buy & hold drawdown
- −84%
- Drawdown avoided
- +56%
Crypto winter 2022
Bear phase- Strategy drawdown
- −31%
- Buy & hold drawdown
- −77%
- Drawdown avoided
- +46%
Bear 2025–2026
Bear phase- Strategy drawdown
- −20%
- Buy & hold drawdown
- −51%
- Drawdown avoided
- +31%
Recovery 2019 – Mar 2020
Bull phase- Strategy return
- +44%
- Buy & hold return
- +74%
Bull 2020–2021
Bull phase- Strategy return
- +671%
- Buy & hold return
- +911%
Post-FTX bull 2023–2025
Bull phase- Strategy return
- +300%
- Buy & hold return
- +647%
6Pros and cons
Strengths
- The two big winters strongly dampened: in 2018 a drawdown of −28% against −84% for Bitcoin, in 2022 −31% against −77%.
- Deepest drawdown −57.5% against −83.6%, and less often deep underwater: 4% of the time deeper than 50%, against 32% for Bitcoin.
- Skewed win/loss ratio: on average +95% gain against −10% loss per position.
- Robust: works across multiple starting years and a broad neighborhood of thresholds; each component earns its place.
- Drawdown protection holds up on fresh data (out-of-sample).
- Mechanical and calm: 2 to 3 positions per year, low cost and tax burden.
Limitations
- In every bull you lag: in the post-FTX bull you missed almost half of the rise.
- The extra return advantage is not proven out-of-sample. Count on drawdown dampening, not on beating the market.
- Long, quiet periods: the longest drought below a previous peak lasted 2.6 years.
- It does not escape a sharp top: in 2017 it gave up ~28% of the price before exiting, and that same year went to cash too early.
- It does not dodge flash crashes within a single day: execution is the next day.
- Applies only to Bitcoin: the on-chain data used exists only for Bitcoin.
7Outcome
Every study ends in exactly one of four outcomes and is published regardless of which, including a null result. This is not a cherry-picked success story. For this study we see, on this data and without look-ahead, less drawdown and a higher return than the benchmark (Bitcoin buy & hold).
This is a conclusion of the test, not a value judgment and not a prediction. It does not mean you will by definition win or lose with it; only that this pattern was measured in our setup, on this data. A higher return advantage for the future is therefore not demonstrated, which is why we keep testing each quarter on new data.
8Read on and test it yourself
Open questions the full version answers
- Does the drawdown protection still hold on data the model never saw, even where the extra return does not?
- Which of the four signals does the most work, and which could you drop without losing much?
- How far can you shift the weights before the result falls apart?
- How long, and how deep, does the strategy sit underwater before it recovers?
- What is the exact recipe behind the stress reading: the weights, the normalisation and the thresholds?
What the full version shows
- The model in detail
- Where does the difference arise?
- The psychological profile
- Does each component earn its place?
- Start years
- Thresholds
- Plateau
- Does it hold up on unseen data?
- Conclusion
The full version: the exact model, the robustness tests and all positions.
Take it further yourself
In the Studio you shift the thresholds and weights yourself, pick a different start year, and immediately see what happens to the trajectory.
Open the StudioWe have already fully processed and validated the underlying data; in the Studio you work with it directly, instead of sourcing, cleaning and aligning data yourself.
Stay informed
coming soonSoon you will be able to get a notification on a new quarterly update, or when the indicator switches state at a threshold you set yourself. A factual notification of the market state, not advice.
9Accountability
Disclosure
- Author
- Robin Van Droogenbroeck / Tiranta Tech BV
- Published
- 2026-06-24
- Version
- 1.0
- Data sources
- Bitcoin daily closing price (index) · CryptoQuant (on-chain series)
- Update cadence
- Quarterly
- Conflict of interest
- The author holds no position in the instruments discussed.
- Methodology
- Read the methodology