Risk & FAQ
4 min read
What Does "Risk-Adjusted" Mean?
"Risk-adjusted" does not mean "low risk" or "guaranteed returns."
It means optimizing the reward-to-risk ratio. The algorithm does not simply chase the highest possible return. Instead, it seeks the portfolio that offers the best expected outcome per unit of risk taken.
In practice, this means:
- In strong markets, the portfolio may lean into risky assets — but only to the extent that the risk is compensated
- In weak or uncertain markets, the portfolio may shift heavily into USDC — not because it predicts a crash, but because the risk-adjusted opportunity set has deteriorated
- The portfolio may look different from a market-cap index or a momentum basket, because it is optimizing for portfolio quality, not individual asset performance
Crypto is inherently volatile. RAC does not eliminate that volatility. It attempts to manage it systematically, but holding RAC still involves meaningful risk, including the possibility of loss.
Time Horizon
RAC rebalances daily. This does not make it a short-term trading strategy.
Daily rebalancing is an operational cadence — the frequency at which the algorithm reassesses the optimal portfolio. The algorithm itself is designed to be responsive to market regime changes without whipsawing on daily noise.
RAC is designed as a hold-and-compound product. The fee structure (with mint and burn fees on each transaction) structurally favors longer holding periods. Investors who enter and exit frequently will lose more to fees than those who hold.
Cash Rotation vs. Doing It Yourself
A common question is whether an investor could achieve similar results by simply holding cash, crypto, and other assets, then rebalancing when certain thresholds are breached.
In principle, yes. In practice, what RAC provides beyond simple threshold-based rebalancing:
Portfolio-level optimization. RAC does not just look at each asset independently. It solves a constrained optimization across the full portfolio, accounting for how assets interact. Two assets can both look individually attractive but offer little diversification benefit if they are highly correlated. The optimizer evaluates combinations, not individual positions.
USD as an explicit allocation choice. In RAC's framework, USD is modeled as an asset in the optimization, not just the absence of conviction. The optimizer can allocate anywhere from the 5% buffer floor to 100% USDC based on the overall opportunity set.
Automated, disciplined execution. The system removes the behavioral biases that typically prevent individual investors from rotating to cash when they should. RAC executes algorithmically, regardless of market sentiment or narrative pressure.
Market Timing Trade-Offs
Any systematic strategy that includes downside protection will underperform a concentrated position during a strong directional rally. This is an inherent trade-off of risk adjustment.
If the optimizer allocates away from an asset during a rally, it is because the risk-adjusted case — accounting for volatility and correlation with the rest of the basket — did not justify a larger position.
The relevant benchmark is not "did RAC capture all of a single asset's upside?" but "over a full market cycle, does RAC deliver a better return per unit of risk than alternatives?"
This is an honest acknowledgment: RAC will sometimes miss rallies. That is the cost of managing risk. The thesis is that over complete market cycles, the compounding benefit of avoiding large drawdowns outweighs the cost of missing some upside.
Why Can Voters Only Exclude, Not Down-Weight?
The veto system is a narrowly scoped safety mechanism, not a portfolio management tool.
The algorithm handles weight optimization; governance handles tail risk. These are deliberately separated. If governance participants could adjust weights, they would effectively be doing portfolio management — something the optimizer already handles quantitatively.
The game theory requires binary outcomes. The veto system rewards correct vetoes and penalizes incorrect ones. This reward/penalty structure depends on binary outcomes (asset price up vs. down). Introducing continuous weight adjustments would make the payoff function continuous, significantly complicating the game-theoretic analysis and weakening the property that uninformed voters lose money over time.
Vetoed weight goes to USDC. When an asset is vetoed, its weight is redistributed to USDC — a defensive posture. The system says: "we do not know what to replace this with, so we go to safety."
Tax Considerations
RAC holders hold a single token rather than a basket of individual assets.
This means that internal rebalancing — the algorithm buying and selling within the portfolio — does not trigger individual taxable events for the holder. The holder's taxable event occurs only when they mint or burn RAC.
This structure may allow holders to benefit from long-term capital gains treatment if they hold RAC for the requisite period, rather than being subject to short-term capital gains on each internal rebalance — as would be the case if manually managing a similar basket of assets.
This is not tax advice. Tax treatment varies by jurisdiction and individual circumstances. Consult a qualified tax professional before making any investment decisions based on tax considerations.
Track Record & AUM
RAC launched in September 2024 and currently has a small AUM. We are transparent about this.
At this stage, the primary value proposition is the architecture and mechanism design, not the track record. The smart contracts are deployed and verifiable on Arbitrum. The optimization framework has been validated through walk-forward cross-validation. The game-theoretic incentive model has been formally derived.
These are structural properties that scale. As with any early-stage product, the live track record will build over time and across market regimes.