Derivatives Analytics ===================== ``ferro-ta`` includes a Rust-backed derivatives layer for analytics, research, and simulation workflows. The implementation is analytics-only: there is no broker connectivity, order routing, or execution engine in this package. What Is Included ---------------- Options analytics ~~~~~~~~~~~~~~~~~ - Rolling IV helpers: ``iv_rank``, ``iv_percentile``, ``iv_zscore`` - Black-Scholes-Merton pricing - Black-76 pricing - Greeks: delta, gamma, vega, theta, rho - Implied volatility inversion - Smile metrics: ATM IV, 25-delta risk reversal, butterfly, skew slope, convexity - Chain helpers: moneyness labels and strike selection by offset or delta Futures analytics ~~~~~~~~~~~~~~~~~ - Synthetic forwards and parity diagnostics - Basis, annualized basis, implied carry, carry spread - Continuous contract stitching: weighted, back-adjusted, ratio-adjusted - Curve analytics: calendar spreads, slope, contango/backwardation summary Strategy and payoff helpers ~~~~~~~~~~~~~~~~~~~~~~~~~~~ - Typed strategy schemas for expiry selectors, strike selectors, leg presets, risk controls, and simulation limits - Multi-leg payoff aggregation - Greeks aggregation across option and futures legs Conventions ----------- - ``model="bsm"`` expects spot as the underlying input. - ``model="black76"`` expects forward as the underlying input. - Volatility uses decimal annualized units: ``0.20`` means 20%. - Rates and carry use decimal annualized units: ``0.05`` means 5%. - ``time_to_expiry`` is expressed in years. Options Example --------------- .. code-block:: python from ferro_ta.analysis.options import greeks, implied_volatility, option_price price = option_price( 100.0, 100.0, 0.05, 1.0, 0.20, option_type="call", model="bsm", ) iv = implied_volatility( price, 100.0, 100.0, 0.05, 1.0, option_type="call", model="bsm", ) g = greeks( 100.0, 100.0, 0.05, 1.0, 0.20, option_type="call", model="bsm", ) Futures Example --------------- .. code-block:: python from ferro_ta.analysis.futures import basis, curve_summary, synthetic_forward front_basis = basis(100.0, 103.0) synthetic = synthetic_forward(8.0, 5.0, 100.0, 0.02, 0.5) curve = curve_summary(100.0, [0.1, 0.5, 1.0], [101.0, 102.0, 104.0]) Strategy and Payoff Example --------------------------- .. code-block:: python from ferro_ta.analysis.derivatives_payoff import PayoffLeg, aggregate_greeks, strategy_payoff legs = [ PayoffLeg( instrument="option", side="long", option_type="call", strike=100.0, premium=5.0, volatility=0.20, time_to_expiry=0.5, ), PayoffLeg( instrument="future", side="long", entry_price=100.0, ), ] payoff = strategy_payoff([90.0, 100.0, 110.0], legs=legs) portfolio_greeks = aggregate_greeks(100.0, legs=legs) Related Modules --------------- - :mod:`ferro_ta.analysis.options` - :mod:`ferro_ta.analysis.futures` - :mod:`ferro_ta.analysis.options_strategy` - :mod:`ferro_ta.analysis.derivatives_payoff`