QuantOraclev2.1.2

Use QuantOracle's portfolio risk metrics (Sharpe, Sortino, VaR, CVaR) and mean-variance optimization to evaluate and rebalance a multi-asset portfolio. The agent can calculate optimal weights for maximum Sharpe ratio or minimum variance.

Retail or institutional traders can price options using Black-Scholes, compute Greeks (delta, gamma, theta), and build multi-leg strategies with payoff diagrams. Implied volatility solver helps identify mispriced options.

Crypto liquidity providers can model impermanent loss for Uniswap v2/v3 positions within specific price ranges, analyze APY/APR conversion, and set rebalance thresholds to optimize yield farming returns.

Corporate treasurers can apply Taylor Rule, Fisher equation, and inflation-adjusted return calculations to assess interest rate scenarios, real yields, and carry trade opportunities for cash management.

Financial advisors can run Monte Carlo simulations of portfolio returns under geometric Brownian motion to estimate the probability of achieving retirement goals, factoring in volatility and time horizon.

Users get 1,000 free calls daily, then pay $0.002–$0.015 per call based on computation complexity, settled via USDC on Base (x402). This model scales with usage and attracts developers.

Offer the QuantOracle MCP server as a premium integration for AI agent platforms. Agents pay a monthly subscription for unlimited or high-volume access bundled with support.

License the computation engine to fintech apps (e.g., portfolio trackers, trading platforms) as a white-label service. Clients pay a fixed licensing fee plus usage-based overage.