Strategy Beta: Is Your Strategy Just Long Bitcoin?
Strategy beta answers an uncomfortable question about any profitable backtest: how much of the result came from your rules, and how much came from Bitcoin going up? On Thursday 5 November, Bitcoin fell more than 5% alongside a tech-stock rout. Plenty of “diversified” crypto strategies fell with it. That is beta at work.
This post explains what beta measures, shows real figures from three years of daily data, and covers how to check your own strategies.
What Is Strategy Beta?
Strategy beta is a measure of how strongly a strategy’s returns move with a benchmark. In crypto, the natural benchmark is Bitcoin. A beta of 1 means the strategy tends to move 1% for every 1% Bitcoin moves. A beta of 0.5 means it tends to move about half as much.
Beta comes from the stock market, where it compares a share with an index. The maths is a simple regression. Plot each day’s strategy return against Bitcoin’s return for the same day. Draw the best-fit straight line through the points. The slope of that line is the beta.
Two related numbers come from the same line:
- Correlation shows how tightly the points hug the line, from -1 to 1.
- R-squared is correlation squared. It estimates the share of your daily ups and downs that Bitcoin explains.
What remains after removing the Bitcoin exposure is often called alpha. Our trading alpha guide covers that idea in more depth.
Why Strategy Beta Matters
A high-beta strategy can look brilliant in a bull market and still contain no skill. If it mostly holds Bitcoin exposure, it will rise when Bitcoin rises. It will also fall when Bitcoin falls, usually at the worst moment.
Beta also hides inside portfolios. Five strategies on five altcoins can share one hidden driver. On a day like 5 November, they all lose together. Our post on strategy correlation explains why that matters when you run several systems.
Finally, beta changes the fair benchmark. A strategy with a beta of 0.5 should be compared with holding about half a position in Bitcoin. Comparing it with full buy-and-hold flatters it in bad years and punishes it in good ones.
What Does Beta Look Like on Real Crypto Data?
We measured beta against Bitcoin on Binance daily candles. The window ran from late December 2023 to 5 November 2026, about 1,046 days.
The first three rows simply hold the coin. The last three use a basic trend rule. It holds the coin only when the previous daily close was above its 50-day simple moving average. We charged 0.1% each time the position changed.
| Daily returns vs BTC | Beta | Correlation | R-squared | Total return |
|---|---|---|---|---|
| Hold BTC | 1.00 | 1.00 | 100% | +79% |
| Hold ETH | 1.18 | 0.82 | 67% | +1% |
| Hold SOL | 1.31 | 0.78 | 61% | -20% |
| BTC 50-day trend rule | 0.49 | 0.70 | 49% | +112% |
| ETH 50-day trend rule | 0.46 | 0.48 | 23% | +196% |
| SOL 50-day trend rule | 0.58 | 0.50 | 25% | -13% |
Historical measurements before slippage. They are not trading results, and past relationships may not repeat.
Reading the Holding Rows
Holding ETH or SOL was a bigger Bitcoin bet, not a different bet. Both had a beta above 1. Bitcoin explained about two-thirds of ETH’s daily moves. Yet both returned far less than Bitcoin over the period. That is the worst combination: more Bitcoin risk, less Bitcoin reward.
Reading the Trend Rows
The trend rules cut beta roughly in half. That makes sense, because they sat in cash for long stretches. The ETH rule is the interesting one. Its R-squared fell to 23%, so most of its moves were not explained by Bitcoin.
The SOL trend rule is a useful warning. Low beta did not make it profitable. Beta tells you what a strategy is exposed to, not whether it works.
Is Your Strategy Asymmetric?
A single beta number averages good days and bad days. Splitting it is more revealing. Measure beta separately on days when Bitcoin rose and days when it fell.
| Strategy | Beta on BTC up days | Beta on BTC down days |
|---|---|---|
| Hold ETH | 1.11 | 1.26 |
| Hold SOL | 1.15 | 1.29 |
| BTC 50-day trend rule | 0.54 | 0.37 |
| ETH 50-day trend rule | 0.45 | 0.34 |
Holding altcoins was worse on the way down than on the way up. The trend rules showed the opposite shape. They kept more of Bitcoin’s up days than its down days. That asymmetry is often the real value of a trend filter, more than any headline return.
How to Measure and Lower Beta in Arrow Algo
Start by measuring. Connect Claude, ChatGPT or Grok to Arrow Algo, and ask the assistant for your backtest’s daily returns. Then ask it to regress them against Bitcoin’s daily returns over the same dates. Request beta, R-squared, and up-day and down-day beta. Our MCP for traders guide covers the setup.
Then decide whether the number fits the strategy’s purpose. If you meant to build a Bitcoin trend strategy, a beta near 0.5 is expected. If you meant to build something independent of Bitcoin, a beta near 1 means it failed.
Ways to Reduce Beta With Visual Blocks
The drag-and-drop visual builder gives you several no-code levers:
- Regime filters. Add a moving average or volatility condition that keeps the strategy flat in Bitcoin downtrends.
- Ratio signals. Trade on a ratio, such as ETH against BTC, rather than the dollar price. That targets relative moves instead of the whole market.
- Fewer correlated strategies. If three strategies all show beta near 1, keep one and redesign the others.
Rerun the measurement after each change. Compare the result with a beta-matched benchmark, not with full buy-and-hold. If you later choose to deploy, your rules signal your own exchange account, and the exchange decides whether to execute.
What Are the Key Takeaways?
- Strategy beta measures how strongly your returns move with Bitcoin.
- R-squared shows how much of your daily movement Bitcoin explains.
- On recent daily data, holding ETH or SOL meant beta above 1 to Bitcoin.
- A simple 50-day trend rule cut beta to about 0.5, and down-day beta fell further.
- Low beta does not mean profitable. Compare each strategy with a beta-matched benchmark.
Disclaimer: This content is for educational purposes only and does not constitute financial advice. Trading involves significant risk and you should only trade with capital you can afford to lose. Past performance is not indicative of future results. Always conduct your own research before making any trading decisions.
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