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MantissaFi

Fully On-Chain European Options Protocol with Black-Scholes Pricing Engine

ArchitectureGetting StartedContractsMath EngineTestingSecurityContributing

Solidity Foundry License PRBMath Certora


Overview

MantissaFi is a fully on-chain European options protocol that computes Black-Scholes-Merton pricing, Greeks (Delta, Gamma, Theta, Vega), and the cumulative normal distribution function (Φ) entirely in Solidity — with provable accuracy bounds and gas efficiency.

Key Innovations

  • Gas-Optimized BSM Engine — Full Black-Scholes pricing in <80K gas using PRBMath SD59x18 with Rational Chebyshev approximation for Φ(x) achieving <0.0001% error
  • Liquidity-Sensitive IV Surface (LSIVS) — On-chain implied volatility derived from realized volatility, skew modeling, and pool utilization — no off-chain IV oracle dependency
  • On-Chain Greeks — Delta, Gamma, Theta, Vega computed fully on-chain with shared intermediate values
  • Formally Verified — Certora/Halmos invariant proofs for solvency, put-call parity, pricing monotonicity, and CDF bounds

How It Differs from Existing Protocols

Feature Lyra/Derive Dopex/Stryke Panoptic MantissaFi
Pricing model BSM (off-chain IV) BSM (off-chain IV) Oracle-free (LP) BSM (fully on-chain)
IV source GWAV + Deribit External N/A On-chain LSIVS
Greeks on-chain Partial ✅ Full suite
Formal verification ✅ Certora proofs
Gas per price N/A (off-chain) N/A (off-chain) ~80K < 80K

Architecture

┌─────────────────────────────────────────────────────────────────┐
│                       MantissaFi Protocol                       │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  ┌──────────────┐  ┌──────────────┐  ┌───────────────────────┐ │
│  │  OptionVault  │  │  BSMEngine   │  │  VolatilitySurface    │ │
│  │              │  │              │  │                       │ │
│  │ • mint()     │──│ • price()    │──│ • getIV()             │ │
│  │ • exercise() │  │ • delta()    │  │ • updateRealizedVol() │ │
│  │ • settle()   │  │ • gamma()    │  │ • skewAdjust()        │ │
│  │ • liquidate()│  │ • theta()    │  │ • utilizationAdjust() │ │
│  └──────┬───────┘  │ • vega()     │  └───────────┬───────────┘ │
│         │          │ • cdf()      │              │             │
│         │          └──────────────┘              │             │
│  ┌──────▼───────┐  ┌──────────────┐  ┌──────────▼────────────┐ │
│  │ LiquidityPool│  │  FixedPoint  │  │  OracleAdapter        │ │
│  │              │  │  MathLib     │  │                       │ │
│  │ • deposit()  │  │ • exp()      │  │ • Chainlink            │ │
│  │ • withdraw() │  │ • ln()       │  │ • Pyth                │ │
│  │ • allocate() │  │ • sqrt()     │  │ • TWAP                │ │
│  │ • hedgeDelta │  │ • cdf()      │  │ • RealizedVol         │ │
│  └──────────────┘  │ • pdf()      │  └───────────────────────┘ │
│                    └──────────────┘                             │
│  ┌──────────────┐  ┌──────────────┐  ┌───────────────────────┐ │
│  │ OptionToken  │  │  Settlement  │  │  AccessControl        │ │
│  │  (ERC-1155)  │  │   Engine     │  │  & Governance         │ │
│  └──────────────┘  └──────────────┘  └───────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘

Getting Started

Prerequisites

  • Foundry (forge, cast, anvil)
  • Node.js >= 18 (for tooling)
  • Python >= 3.10 (for differential testing)

Installation

git clone https://github.com/0xfandom/mantissa-fi.git
cd mantissa-fi
forge install

Build

forge build

Test

# Unit tests
forge test

# Fuzz tests (10,000 runs)
forge test --match-path "test/fuzz/*" -vvv

# Gas report
forge test --gas-report

# Fork tests (requires RPC URL)
FORK_URL=<your-rpc-url> forge test --match-path "test/fork/*" --fork-url $FORK_URL

Deploy (Testnet)

forge script script/Deploy.s.sol --rpc-url $RPC_URL --broadcast --verify

Contracts

src/
├── core/
│   ├── OptionVault.sol              # Main entry — mint, exercise, settle options
│   ├── LiquidityPool.sol            # LP deposits, withdrawals, delta hedging
│   ├── OptionToken.sol              # ERC-1155 multi-token for option positions
│   └── Settlement.sol               # Expiry settlement, ITM/OTM resolution
├── pricing/
│   ├── BSMEngine.sol                # Black-Scholes-Merton pricing engine
│   ├── FixedPointMathLib.sol        # exp, ln, sqrt optimized for BSM
│   ├── CumulativeNormal.sol         # High-precision Φ(x) — Hart's approximation
│   └── Greeks.sol                   # Delta, Gamma, Theta, Vega computation
├── volatility/
│   ├── VolatilitySurface.sol        # LSIVS — implied volatility surface
│   ├── RealizedVolOracle.sol        # EWMA realized volatility from price feeds
│   └── SkewModel.sol                # Strike-dependent IV adjustment
├── oracle/
│   ├── OracleAdapter.sol            # Multi-oracle: Chainlink + Pyth + TWAP
│   └── PriceValidator.sol           # Staleness & deviation checks
├── periphery/
│   ├── OptionRouter.sol             # User-facing multicall helper
│   ├── OptionLens.sol               # View functions for frontends
│   └── FeeController.sol            # Dynamic fee model
└── libraries/
    ├── OptionMath.sol               # Payoff calculations, moneyness helpers
    ├── TimeLib.sol                  # Timestamp → annualized time conversion
    └── Constants.sol                # Fixed-point constants (√2π, e, etc.)

Math Engine

Black-Scholes Formula

C = S · Φ(d₁) - K · e^(-rT) · Φ(d₂)

d₁ = [ln(S/K) + (r + σ²/2) · T] / (σ · √T)
d₂ = d₁ - σ · √T

On-Chain CDF: Hart's Rational Approximation

The cumulative normal distribution Φ(x) is computed using a 7-term rational polynomial achieving < 7.5 × 10⁻⁸ maximum error at approximately 8,000 gas.

Gas Targets

Operation Target Gas
Φ(x) — CDF < 10,000
Full BSM price < 80,000
All 4 Greeks < 100,000
Mint option < 150,000
Exercise option < 100,000

Precision Guarantees

All pricing outputs are validated against scipy.stats.norm (Python) across 10,000+ fuzzed input vectors:

  • CDF max error: < 1 × 10⁻⁵
  • BSM price max relative error: < 0.01%
  • Put-call parity deviation: < 0.001 USDC per option

Testing

Test Categories

Category Location Description
Unit test/unit/ Individual function correctness
Fuzz test/fuzz/ Property-based with random inputs
Invariant test/invariant/ Protocol-wide invariant testing
Integration test/integration/ Full option lifecycle
Fork test/fork/ Against mainnet state
Differential test/differential/ Solidity vs Python reference
Gas test/gas/ Gas benchmarking suite

Running Differential Tests

cd analysis/
pip install -r requirements.txt
python precision_test.py  # Generates test vectors
cd ..
forge test --match-path "test/differential/*"

Security

Formal Verification (Certora / Halmos)

Invariant Description Status
Solvency Pool assets ≥ max payoff obligations 🔲
Pricing Monotonicity ∂C/∂S > 0, ∂P/∂S < 0, Vega > 0 🔲
Put-Call Parity C - P = S - K·e^(-rT) within ε 🔲
CDF Bounds 0 ≤ Φ(x) ≤ 1, Φ(-x) = 1 - Φ(x) 🔲
No Value Extraction profit ≤ intrinsic - premium 🔲

Static Analysis

slither src/
aderyn .

Threat Model

See SECURITY.md for the complete threat model covering oracle manipulation, flash loan attacks, precision exploits, IV manipulation, and donation attacks.


Project Roadmap

  • Phase 0: Project setup, repository structure
  • Phase 1: Math engine (CDF, BSM, Greeks) — Weeks 1–3
  • Phase 2: Protocol core (Vault, Pool, Settlement) — Weeks 4–7
  • Phase 3: Volatility surface (LSIVS, EWMA, Skew) — Weeks 8–10
  • Phase 4: Security & formal verification — Weeks 11–13
  • Phase 5: Documentation, paper, presentation — Weeks 14–16

Tech Stack

Component Technology
Language Solidity ^0.8.25
Framework Foundry
Math Library PRBMath v4 (SD59x18)
Token Standard ERC-1155 (OpenZeppelin)
Oracle Chainlink, Pyth, Custom TWAP
Formal Verification Certora / Halmos
Static Analysis Slither, Aderyn
Differential Testing Python (scipy, numpy)

Contributing

Contributions are welcome! Please read CONTRIBUTING.md before submitting PRs.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Run tests (forge test)
  4. Commit changes (git commit -m 'feat: add amazing feature')
  5. Push to branch (git push origin feature/amazing-feature)
  6. Open a Pull Request

License

This project is licensed under the MIT License — see the LICENSE file for details.


Acknowledgements

  • PRBMath — Fixed-point arithmetic
  • SolStat — Statistical functions in Solidity
  • OpenZeppelin — Security standards
  • Black, F. & Scholes, M. (1973) — The Pricing of Options and Corporate Liabilities
  • Abramowitz & Stegun (1964) — Handbook of Mathematical Functions

About

MantissaFi is a fully on-chain European options protocol that implements Black-Scholes-Merton (BSM) pricing entirely in Solidity.

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