Structural#016

Correlated-Market Hedging

You take the position you actually want in one market, then offset some of its risk by trading a related market that tends to move with it. If your main bet goes wrong, the hedge cushions the loss, so your drawdowns are smaller while you keep most of the upside of your core view. The trade-off is that hedging costs a bit of return ('drag'), so you only hedge when the protection is worth that cost.

What you need to run it

Correlation matrix across candidate markets (rolling)
Hedge ratio calculation and rebalancing logic
Capital budget that accounts for hedge cost drag

Where this applies

Markets on Polymarket where correlated-market hedging is the natural play:

Will Trump win the 2028 Republican nomination? (hedge with a related 2028 GOP-field market)
Will Ethereum close above $5,000 on December 31, 2026? (hedge with a correlated BTC threshold)
Will the Lakers win the 2027 NBA title? (hedge with 'reach the Finals')

Capabilities this demands

Model / quantCustom code / APIRisk management

At a glance

CategoryStructural

Requirements3

CapabilitiesModel / quant, Custom code / API, Risk management

VenuePolymarket (CLOB, Polygon)

Build it

Related structural strategies

This is documentation, not advice. Poly Research & Robotics publishes how these strategies work because the method should be checkable — not as a recommendation to trade them. See the full strategy database (147 strategies) or the data resources directory.