Basis / Cash & Carry Methodology
FYOS supports basis trading (cash and carry) as a first-class strategy family alongside perpetual funding arbitrage.
Both strategy families share the same core methodology principles:
- Conservative, reality-adjusted metrics
- Trust qualification before surfacing
- Score vs deployability separation
- Bounded interpretation of prescriptive outputs
What Is Basis Trading?
Basis trading captures the spread between spot and delivery futures prices.
When futures trade above spot (contango), you can:
- Buy spot
- Sell delivery futures
- Hold until expiry
- Capture the spread as prices converge
This is called cash and carry because you carry the spot position against the futures hedge.
Basis vs Funding: Core Difference
| Dimension | Funding Arbitrage | Basis / Cash & Carry |
|---|---|---|
| Underlying | Perpetual futures | Delivery futures |
| Duration | Open-ended | Fixed to expiry |
| Return source | Funding payments | Basis spread |
| Return behavior | Variable | Fixed at entry |
| Primary metric | decay_adjusted_return | model_adjusted_basis_apr |
| Capacity metric | edge_capacity_24h | dual_leg_capacity_usd |
Primary Basis Metric: model_adjusted_basis_apr
The canonical basis return metric is model_adjusted_basis_apr.
This is not the raw spread. It is the spread after:
- Round-trip trading fees (both legs, entry and exit)
- Slippage costs from crossing spreads
- Trust-based haircuts (inverse contracts, low-confidence data)
Why Gross Basis Is Not Deployable
Raw gross_basis_apr overstates realistic returns.
The gap between gross and model-adjusted represents execution reality:
gross_basis_apr: 25%
- fee impact: -3%
- slippage impact: -2%
- trust haircut: -1%
= model_adjusted_basis_apr: 19%Always use model_adjusted_basis_apr for decision-making.
Dual-Leg Capacity
Basis trades require capital on both legs:
- Spot leg: Buy the underlying
- Futures leg: Sell the delivery contract
Capacity is constrained by the limiting leg:
dual_leg_capacity_usd = min(spot_capacity, futures_capacity)The smaller leg limits the entire trade.
Trust Qualification
Basis opportunities pass through the same trust framework as funding:
| Quality | Surface Behavior |
|---|---|
high | Default surface, full confidence |
medium | Default surface, some caution |
low | May be excluded from default views |
excluded | Not surfaced in normal flows |
Trust qualification is separate from economics — a high-APR opportunity may still be excluded if data quality is poor.
Contract Types
Linear Contracts
Linear (stablecoin-margined) contracts have straightforward P&L.
FYOS applies standard reality adjustments.
Inverse Contracts
Inverse (coin-margined) contracts have non-linear P&L characteristics.
FYOS applies additional haircuts to inverse opportunities to account for this complexity.
Inverse contracts are clearly labeled in all surfaces.
Expiry Behavior
Basis returns are expiry-linked:
- Shorter expiries have higher annualized APR for the same spread
- But shorter expiries leave less room for execution error
- Very short expiries may have outsized fee impact
FYOS categorizes expiry into buckets:
short: Near-term expirymedium: Medium-term expirylong: Long-dated expiry
Basis Planner Constraints
When including basis in Planner allocation:
- Max basis share: Overall portfolio basis limit
- Max per-expiry bucket: Concentration by expiry
- Max inverse share: Inverse contract limit
- Exchange concentration: Per-exchange limits
These constraints prevent over-concentration in specific expiry windows or contract types.
Basis Simulator Semantics
The Basis Simulator follows the same bounded philosophy as the funding simulator:
- Hold to expiry: Models full basis capture at settlement
- Early exit: Models partial convergence with uncertainty
Simulator output is scenario output, not validated forecast.
Fee-Tier Overlay Caveat
The Basis Screener supports a user-selected fee tier overlay.
This affects display economics only — it shows personalized effective APR based on your fee tier.
Important: This is a client-side overlay. It does not change:
- Server-side trust qualification
- Canonical
model_adjusted_basis_apr - Underlying opportunity ranking
The overlay helps you see your potential economics but does not replace canonical trust semantics.
Shared Methodology Principles
Basis shares these principles with funding:
- Score is not deployability — attractiveness vs executability are separate
- Gross is not realistic — reality adjustments matter
- Trust gates surfacing — data quality affects eligibility
- Planner is bounded — recommendations, not instructions
- Simulator is scenarios — exploration, not prediction
- Reality is evidence — historical context, not guarantees
Further Reading
For detailed basis documentation: