feat: add full derivatives analytics layer (options + futures)
Implements all phases of the derivatives expansion plan: Rust core (crates/ferro_ta_core/src/options/, src/futures/): - BSM and Black-76 pricing (scalar + vectorized batch) - Greeks: delta, gamma, vega, theta, rho - Implied volatility solver (Newton + bisection fallback) - Smile/skew metrics: ATM IV, 25-delta RR/BF, skew slope, convexity - Chain helpers: moneyness labels, strike selection by offset or delta - Synthetic forwards, basis, annualized basis, implied carry, carry spread - Continuous contract stitching: weighted, back-adjusted, ratio-adjusted - Curve analytics: calendar spreads, slope, contango/backwardation summary PyO3 bindings (src/options/, src/futures/): - All Rust functions registered and exposed via _ferro_ta extension Python API (python/ferro_ta/analysis/): - options.py: pricing, greeks, IV, smile, chain, legacy iv_rank/percentile/zscore - futures.py: basis, carry, curve, roll, synthetic, continuous contracts - options_strategy.py: typed strategy schemas (expiry/strike selectors, leg presets, risk controls, simulation limits) - derivatives_payoff.py: multi-leg payoff aggregation and Greeks aggregation Bug fix: wrap _to_f64 calls in iv_rank/iv_percentile/iv_zscore to raise FerroTAInputError (not plain ValueError) for 2D array input. Docs: derivatives.rst, derivatives-analytics.md, options-volatility.md, quickstart.rst, index.rst, api/analysis.rst all updated. Tests: 2053 pass, 12 skipped. All CI checks pass locally. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Claude Sonnet 4.6
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@@ -315,10 +315,12 @@ bottlenecks are fixed or deferred.
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- No fast path for already 2-D C-contiguous float64 in batch_sma/ema/rsi
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(unlike `_to_f64` for 1-D); could avoid a potential copy.
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**Options** (`python/ferro_ta/options.py`):
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- `iv_rank`, `iv_percentile`, and `iv_zscore` are vectorized now, but
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`iv_percentile`/`iv_zscore` still spend meaningful time in NumPy window
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materialization on very long series.
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**Derivatives analytics** (`python/ferro_ta/analysis/options.py`):
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- `iv_rank`, `iv_percentile`, and `iv_zscore` now delegate to Rust.
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- The Python layer mostly performs broadcasting and result shaping; the hot
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path is in Rust.
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- Model-based implied-volatility inversion is much faster now, but still more
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expensive than direct pricing or Greeks due to root-finding.
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**Features** (`python/ferro_ta/features.py`):
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- `nan_policy="fill"` is vectorized now.
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