Verification

Correlation Matrix

Independence is the product. When one engine struggles, the others do not know about it. This is not a design goal. It is a measured fact, shown in full below.

Interactive data Prism Capital Research Updated June 2026
The Concept

What correlation means

Reading the numbers

Correlation measures how two things move relative to each other, on a scale from -1.0 to +1.0.

If correlation is +1.0, two strategies always move together. When one gains, the other gains. When one falls, the other falls. This is what most traditional portfolios look like — all boats rising and sinking on the same tide.

If correlation is 0.0, the two strategies are independent. One has no knowledge of what the other is doing. This is the foundation of real diversification.

If correlation is negative, one strategy tends to go up when the other goes down. This is active hedging — the portfolio is designed to profit from its own drawdowns.

Negative (hedging)
0 – 0.15 (independent)
0.15 – 0.35 (moderate)
0.35 – 0.55 (some correlation)
0.55+ (high)
The Matrix

11 engines, 55 unique pairs

Sentinel
Harvest
Meridian
Navigator
Carry
Shield
Echo
Vector
Crosswind
Spring
Lens
Sentinel
1.00
0.34
Sentinel × Harvest
Moderate — both use VIX regime
0.57
Sentinel × Meridian
Highest pair — both equity/gold rotation
0.05
Sentinel × Navigator
Near zero — independent signals
0.03
Sentinel × Carry
Different asset class entirely
-0.18
Sentinel × Shield
Negative — hedges equity exposure
0.08
Sentinel × Echo
Near zero — event-driven, uncorrelated
0.04
Sentinel × Vector
Factory leg — independent
0.02
Sentinel × Crosswind
Different asset class
0.06
Sentinel × Spring
Near zero
-0.03
Sentinel × Lens
Measured at -0.03 — truly independent
Harvest
0.34
1.00
0.51
Harvest × Meridian
Some overlap — both hold equities
0.07
Harvest × Navigator
Low — sector rotation vs mega-cap
0.05
Harvest × Carry
Different asset class
-0.22
Harvest × Shield
Negative — Shield hedges equity concentration
0.10
Harvest × Echo
Low — different signals
0.06
Harvest × Vector
Low despite both touching tech
0.01
Harvest × Crosswind
Near zero
0.04
Harvest × Spring
Independent
-0.01
Harvest × Lens
Near zero
Meridian
0.57
0.51
1.00
0.08
Meridian × Navigator
Low — ML vs macro signals
0.04
Meridian × Carry
Near zero
-0.15
Meridian × Shield
Negative — hedging relationship
0.07
Meridian × Echo
Low
0.03
Meridian × Vector
Independent
0.01
Meridian × Crosswind
Near zero
0.05
Meridian × Spring
Low
-0.02
Meridian × Lens
Near zero
Navigator
0.05
0.07
0.08
1.00
0.02
Navigator × Carry
Near zero — completely different markets
0.09
Navigator × Shield
Low — both macro but different signals
0.11
Navigator × Echo
Low
0.03
Navigator × Vector
Near zero
0.04
Navigator × Crosswind
Low
0.01
Navigator × Spring
Near zero
0.02
Navigator × Lens
Independent
Carry
0.03
0.05
0.04
0.02
1.00
0.01
Carry × Shield
Near zero — different universe
-0.01
Carry × Echo
Near zero
0.02
Carry × Vector
Independent
0.00
Carry × Crosswind
Zero
0.01
Carry × Spring
Near zero
0.00
Carry × Lens
Zero
Shield
-0.18
-0.22
-0.15
0.09
0.01
1.00
0.03
Shield × Echo
Near zero
-0.04
Shield × Vector
Slightly negative
0.06
Shield × Crosswind
Low — some commodity overlap
-0.02
Shield × Spring
Near zero
0.01
Shield × Lens
Independent
Echo
0.08
0.10
0.07
0.11
-0.01
0.03
1.00
0.05
Echo × Vector
Low
0.02
Echo × Crosswind
Near zero
0.04
Echo × Spring
Low
0.03
Echo × Lens
Independent
Vector
0.04
0.06
0.03
0.03
0.02
-0.04
0.05
1.00
0.07
Vector × Crosswind
Low despite both being momentum
0.09
Vector × Spring
Low
0.01
Vector × Lens
Independent
Crosswind
0.02
0.01
0.01
0.04
0.00
0.06
0.02
0.07
1.00
0.03
Crosswind × Spring
Near zero
0.01
Crosswind × Lens
Independent
Spring
0.06
0.04
0.05
0.01
0.01
-0.02
0.04
0.09
0.03
1.00
0.02
Spring × Lens
Independent
Lens
-0.03
-0.01
-0.02
0.02
0.00
0.01
0.03
0.01
0.01
0.02
1.00
The Numbers

What the matrix tells you

Avg Pairwise Correlation
0.79
S&P 500 top 10 holdings
Difference
20x
Less correlated than the index
S&P 500 Top Holdings
0.79
Typical "Diversified" Fund
0.55
Prism Portfolio
0.04

When one engine struggles, the others do not know about it. This is not a metaphor. It is measured, pairwise, across 55 unique combinations. Average correlation of 0.04 means the engines are, for practical purposes, independent systems operating in parallel.

Notable Pairs

Pairs worth examining

Engine A Engine B Correlation Rating Why
Sentinel Meridian 0.565 Highest Both rotate between equities and gold. Expected overlap. This is the only pair above 0.55.
Harvest Meridian 0.509 Moderate Both hold equities. Harvest is concentrated mega-cap; Meridian is ML-optimized. Different signals, some asset overlap.
Sentinel Harvest 0.337 Moderate Both use VIX regime signals. Different instruments and different timing logic.
Harvest Shield -0.22 Hedging Shield gains when equity-heavy Harvest suffers. This is by design. The insurance works.
Sentinel Shield -0.18 Hedging Same hedging dynamic. Shield offsets equity-linked drawdowns.
Carry Everything ~0.02 Independent Crypto funding rates are a completely different market. Zero relationship to equities, bonds, or commodities.
Lens Everything ~-0.01 Independent CEO psychology has no relationship to price momentum, volatility, or macroeconomic signals.
Factory legs Core engines ~0.03 Independent The factory pipeline discovers strategies precisely because they are uncorrelated to existing legs.

Most investors own one risk: the equity market going up. When it doesn't, everything in their portfolio falls together. This matrix shows a different architecture — eleven independent engines, each watching different signals in different markets, producing returns that have nothing to do with each other. That independence is not a side effect. It is the entire point.

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