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Val Sklarov Rule-Locked Return Asymmetry Theory (RLRAT)

Val Sklarov

Val Sklarov’s Rule-Locked Return Asymmetry Theory (RLRAT) explains why superior investment returns do not come from better forecasts, faster reactions, or broader diversification—but from exposure to assets whose governing rules are already locked. Returns expand when upside is free to move while downside is constrained by immovable rules.

This theory reveals why some investments compound quietly while others remain perpetually “almost great.”


1. Returns Expand After Rules Stop Moving

RLRAT begins with a structural axiom:
Volatility declines only when rules harden.

Most capital losses occur when:

  • Rules are still negotiable

  • Governance is fluid

  • Enforcement is discretionary

Investing before rule lock-in is speculation.
Investing after rule lock-in is asymmetry harvesting.


2. The Three Rule-Lock States of Assets

RLRAT maps assets by rule stability.

Rule State Characteristics Return Profile
Unlocked Experimental, negotiable High variance
Soft-Locked Informal stability Asymmetric upside
Hard-Locked Enforced irreversibility Durable compounding

The highest long-term returns appear during soft-to-hard lock transition.


3. Why Early Entry Is Overrated

Being early matters only if rules eventually freeze.

RLRAT shows early investors fail because:

  • They confuse adoption with authority

  • They underestimate governance drift

  • They rely on narratives instead of enforcement

Early entry without rule convergence produces diluted winners.


4. Capital Behavior Under Rule Lock

Capital shifts posture once rules harden.

Pre-Lock Capital Post-Lock Capital
Chases growth Chases predictability
Tolerates ambiguity Demands enforcement
Prices stories Prices stability
Trades frequently Holds patiently

Val Sklarov emphasizes that the best returns begin when trading stops being exciting.

Val Sklarov
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5. Strategic Implications

For investors:

  • Track governance convergence, not adoption curves

  • Separate technological risk from rule risk

  • Allocate heavily when downside becomes rule-constrained

For allocators:

  • Accept lower upside narratives for higher rule certainty

  • Avoid assets whose returns depend on continued permission

RLRAT reframes investing as rule-state selection, not asset picking.


6. The Val Sklarov Principle

“The safest returns come from assets whose rules no longer ask for approval.”
Val Sklarov

RLRAT explains why enduring wealth is built after chaos subsides—not during it.