FPROTOCOLOPEN CRYPTO ALLOCATION INFRA
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ALPHAMID15-25%· Master fundBlack box⚠ Pending

Active Alpha

ACTIVE ALPHA

Compose multiple quant strategies into one active-return main sleeve — funding / cross-market arb / options market-making / event-driven, weighted by fractional Kelly with a covariance constraint.

Target geo mean
15–25%
Conservative reference, not a promise
Target max DD
−15%
Hard constraint
Strategy capacity
5–8M USDC
Per sleeve; decays beyond
Transparency
Monthly
Attribution report + on-chain weight events
POLICY FIT:ThreePoolPolicyKellyPolicy

Transparency

SELF-REPORTED BY INTEGRATOR
BLACK BOX · OFF-CHAIN

Strategy alpha is executed entirely off-chain; the protocol receives only a totalAssets signal from the reporter. Capital boundaries remain enforced by the on-chain vault and capBps, but the strategy behaviour itself is opaque.

COMMUNITY VERIFICATION
⚠ Pending

The integrator has self-reported a transparency tier; community verification is not yet complete. Treat this assessment as preliminary.

Multi-strategy alpha executed off-chain; position commitments and ZK PoR are on the v1.1 roadmap

Rating

QUANTITATIVE METRICS

Sharpe
1.23
Sortino
1.27
Calmar
1.53
Max drawdown
-15.2%
Annual return
23.2%

HUMAN REVIEW (1-5)

Growth
Risk control
Transparency
Reviewers: C. Yi · M. Zhao

Multi-strategy book; demands disciplined fractional Kelly sizing.

Last updated: May 31, 2026, 12:13 AM

Active Alpha's thesis: crypto markets still contain structural inefficiencies that multiple strategies in parallel can harvest — but any single strategy decays with capacity and regime change. Composing them into a dynamically-weighted main sleeve is more robust than betting on any single one. This is a strategy type no Web3 fund seeking active returns can skip.

Signals

SIGNALS

Funding-rate dispersion · CEX/DEX cross-market spread · options IV skew · event-driven (unlocks, ETF flow, policy windows). Each signal has its own OOS threshold.

Sizing

SIZING

Fractional Kelly (default f*/4) on estimated (p, b); a multi-strategy covariance matrix caps total leverage ≤ 3x and per-strategy peak ≤ 5x.

Risk bounds

RISK BOUNDS

Day -3% suspends new trades · Day -5% liquidates · Month -10% triggers governance review; counterparty diversification: single CEX ≤ 20% AUM.

15–25%
Target geo mean
Fractional Kelly est.
−15%
Target max DD
Hard constraint
5–8M
USDC capacity
Per sleeve
0.6+
Target Sharpe
Rolling OOS
POLICYFITSUGGESTED WEIGHT (BPS)NOTES
ThreePoolPolicy★ Recommended5000–7000B-pool main · source of float dividend
KellyPolicy○ Compatible3000–5000Main sleeve when drawdown is controlled
Vendor Policy○ MountableCustomRequires own covariance evaluation
Mapping to fund-vault modules

Active Alpha sits in the Allocation Engine as a strategy adapter. It registers a weight via AllocationManager.addStrategy(), receives funds pushed from FundVault, reports PnL via IStrategy.totalAssets() to DailyTick, and the mounted Policy decides dividend & NAV in settle(). It does not touch the Custody or Risk Layer governance surface.

On-chain skeleton (developer reference)

ActiveAlphaStrategy.sol implements the minimal IStrategy interface: deposit / withdraw / totalAssets. totalAssets is injected by the off-chain quant system via reportTotalAssets(); the contract does not implement real trading logic (each integrating fund's alpha is not shareable). Source is in the public NGPlateform/fund-vault repo.

For funds in setup: if your core narrative is "active alpha", Active Alpha should be your main sleeve (50–70% weight); reserve the rest for Yield+ (idle USDC backstop) and Staking & MEV (ETH exposure). Mounting ThreePoolPolicy lets float dividend absorb the profitable-day take-out from Active Alpha — this is QDF's current configuration.

Backtest

Synthetic backtest · not historical · for path-shape demonstration only

NAV trajectory (1 year)

2025-06-012026-06-01
0.9451.0341.1231.2111.300max DD -15.2%2025-06-012025-11-302026-06-01
ANNUAL RETURN
23.2%
ANNUAL VOL
18.9%
SHARPE
1.23
SORTINO
1.27
MAX DD
-15.2%
CALMAR
1.53

Drawdown

0.0%-3.8%-7.6%-11.4%-15.2%

Simulator

100,000
Final NAV
0.9910
Final value
99,097USDC
Cumulative dividend
2,959USDC
Max drawdown
-14.0%

This simulator uses synthetic backtest data and is not investment advice; actual performance may differ materially.

ON-CHAIN SKELETON CONTRACT
fund-vault/src/strategies/ActiveAlphaStrategy.sol

Skeleton contract · undeployed · demonstrates the IStrategy adapter integration path