Market Exposure

How much of a strategy's return depends on the market going up or down. Buy-and-hold has 100% market exposure — every dollar of return comes from price direction. An active strategy aims to earn returns less correlated with the market.

In plain English

Imagine two kids selling lemonade. Both make $50. But Kid A borrowed $200 to buy supplies; Kid B borrowed $20. Same result, but Kid B put far less at risk. Kid B has a better return per dollar of investment.

Market exposure works the same way. If your strategy's returns move exactly with BTC — up when BTC's up, down when BTC's down — you have high market exposure. You're "riding the wave." If your strategy can make money regardless of which direction BTC moves, you have lower market exposure.

"Per unit of market exposure" = for every dollar of your return that depended on market direction, how much did you earn?

This is why alpha (the return above a passive benchmark) matters more than raw return. It strips out the "wave riding" and asks what you earned through skill rather than just being long a bull market.

Why it matters

Market exposure has two levers in this simulator:

1. Strategy direction. A long-only strategy has positive market exposure — it profits when price rises. A short-only strategy has negative market exposure — it profits when price falls. A bidirectional strategy can earn returns with lower net market exposure than either.

2. Leverage (the multiplier on position size). Leverage amplifies both returns and the market exposure — a 50× long has 50× the market exposure of a 1× long on the same asset. This means a large positive alpha on a highly-leveraged strategy can be pure amplification, not skill.

Formula / mechanic

There is no single "market exposure" number stored in the system. It is implied by context:

alpha = strategyReturn − buyAndHoldReturn

Alpha is what remains after subtracting the return a passive investor would have earned with the same capital in the same asset. A high alpha on low leverage = the strategy generated returns that weren't just market direction. A high alpha on 50× leverage = caveat: see leverage and the leverage cliff.

Why it matters for this fleet

On the EMA-cross dossier (run 83), only 6 of 210 strategies beat buy-and-hold on raw return — and every one was a 50× long. Their outperformance was almost entirely market exposure amplified by leverage, not edge. Strip the leverage and they lose to holding. See alpha for the full breakdown.

The clean contrast:

• id522 (ETH 4h 50× long) — beat buy-and-hold by ~8,000 percentage points (pp). At 50× leverage the strategy's market exposure is 50× the benchmark's. This is not skill; it is beta amplified to the point of a 30–61% drawdown. The strategy's true per-unit-of-exposure return is comparable to or worse than holding.
• id523 (SOL 1h 2× long) — trails buy-and-hold by ~1,700 pp, but carries a real, statistically significant Sharpe at 2× leverage. Its per-unit-of-exposure return — controlling for how much market direction it leaned on — represents genuine edge. Alpha alone (negative, large) dismisses it; risk-adjusted metrics validate it.

Related

• alpha
• buy and hold
• leverage
• risk adjusted return
• sharpe ratio

Sources

• wiki/qa-sessions/2026-06-28-session.md#q1 (introduced here)
• wiki/qa-sessions/2026-06-28-session.md#q2 (ELI5 expansion)