Real-World & Alternative DataExtended setlive in productionNew
Btc Tech Correlation Regime
Updated dailyData needs: lowlong onlyshort onlylong short
paper
2021
Source
Liu, Y., Tsyvinski, A. (2021). "Risks and Returns of Cryptocurrency." Review of Financial Studies, 34(6), 2689-2727.
Read the paper →
In plain terms
Bitcoin miners and Coinbase track BTC with a 1-2 day lag.
How it works
BTC returns are distinct from equity-factor risk; a basket of crypto-proxy stocks tracks BTC with a 1-2 day lag.
Live results
0 times picked on its own · 3 times inside a blend (3 beat the stock) · updated 2026-06-06This strategy is a frequent ingredient in blends that combine a few strategies on one stock. It has contributed to 3 such blended picks (3 of which beat simply holding the stock). Picking it on its own is only one of the ways it shows up.
How its picks scored vs. buy & hold
Each pick is graded on a recent year it was never tuned on, against simply owning the same stock
Where its edge concentrates
Share of picks in each company-size group that beat buy & hold
How often it trades
Active vs. patient. Bars on the left mean it waits for rare setups; bars on the right mean it trades often
Return vs. buy & hold
How much each pick beat or trailed simply owning the stock over the test year (extreme microcap moves trimmed)
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Data dependencies
- Daily prices
Adjusted-close OHLCV for every US-listed ticker; primary price feed.
Expected edge
- Reported return
- ~2-5% over 5-20d
- Tested over
- T+0 to T+20d
Liu-Tsyvinski 2021: 2-5% drift over 5-20d.
Example tickers where this is likely to fire
Illustrative only, the signal fires based on the live data, not a fixed list.
Related families
Explore Btc Tech Correlation Regime on alphactor.ai
See which tickers this family is currently firing on, with live signals and rankings.