Files
foxhunt/crates/ml-features/src/lib.rs
jgrusewski f1892a22d4 feat: MBP-10 → imbalance bars as explicit data source choice
Wire MBP-10 order book data through ImbalanceBarSampler into the DQN
training pipeline. No fallback — explicit data_source config: "mbp10"
(imbalance bars from 10-level order book) or "ohlcv" (1-minute candles).
Fails loudly if chosen source's data doesn't exist.

Pipeline: MBP-10 .dbn.zst → trade extraction (action=='T', native side
classification) → adaptive ImbalanceBarSampler (EWMA threshold) →
OHLCVBar → existing feature extraction.

Production: data_source="mbp10", smoketest/localdev: data_source="ohlcv".

8 files, +483/-48 lines. 3 new tests for trade extraction and pipeline.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-31 11:08:02 +02:00

75 lines
3.0 KiB
Rust

//! Feature Engineering for Foxhunt ML models
//!
//! Core feature extractors: technical indicators, price patterns, volume analysis,
//! microstructure proxies, OFI (Order Flow Imbalance), normalization, and more.
#![allow(clippy::module_name_repetitions)]
#![allow(clippy::integer_division)]
#![deny(
clippy::unwrap_used,
clippy::expect_used,
clippy::panic
)]
#![allow(clippy::shadow_reuse, clippy::shadow_same, clippy::shadow_unrelated)] // Tensor ops: let x = x.relu() is idiomatic
#![allow(clippy::non_ascii_literal)] // Math symbols in ML documentation and error messages
#![allow(clippy::partial_pub_fields)] // ML config structs: some fields are pub API, some internal
#![allow(clippy::same_name_method)] // Intentional: inherent methods shadow trait defaults for ML-specific behavior
#![allow(clippy::indexing_slicing)] // Tensor/matrix indexing with bounds guaranteed by construction
#![allow(clippy::similar_names)] // ML naming: min_val/max_val, state/states are conventional
// Re-export core types at crate root for internal use
pub use ml_core::MLError;
pub use ml_core::types::OHLCVBar;
// Public modules (21 total)
pub mod adx_features;
pub mod alternative_bars;
pub mod bar_resampler;
pub mod barrier_optimization;
pub mod config;
pub mod ewma;
pub mod feature_extraction;
pub mod mbp10_loader;
pub mod microstructure;
pub mod microstructure_features;
pub mod normalization;
pub mod ofi_calculator;
pub mod pipeline;
pub mod position_features;
pub mod price_features;
pub mod regime_adx;
pub mod statistical_features;
pub mod time_features;
pub mod trades_loader;
pub mod types;
pub mod volume_features;
// Re-exports
pub use config::{FeatureConfig, FeatureGroup, FeatureIndices, FeaturePhase};
pub use alternative_bars::{
DollarBarSampler, ImbalanceBarSampler, RunBarSampler, TickBarSampler, VolumeBarSampler,
};
pub use barrier_optimization::{BarrierOptimizer, BarrierParams, OptimizationResult};
pub use ewma::{AdaptiveThreshold, EWMACalculator};
pub use price_features::PriceFeatureExtractor;
pub use volume_features::VolumeFeatureExtractor;
pub use adx_features::AdxFeatureExtractor;
pub use regime_adx::RegimeADXFeatures;
pub use microstructure_features::{
BuySellImbalance, HighLowSpread, InterArrivalTime, KyleLambda, MicrostructureFeature,
PriceImpact, TickCount, VarianceRatio, VolumeWeightedSpread,
};
pub use time_features::TimeFeatureExtractor;
pub use statistical_features::StatisticalFeatureExtractor;
pub use normalization::{FeatureNormalizer, NormalizationStats, RingBuffer};
pub use pipeline::{FeatureExtractionPipeline, PipelinePerformance};
pub use position_features::PositionFeatures;
pub use ofi_calculator::{OFICalculator, OFIFeatures};
pub use mbp10_loader::{
extract_trades_from_dbn_file, extract_trades_from_snapshots, get_recent_snapshots,
get_snapshots_for_timestamp, load_mbp10_snapshots_sync, mbp10_to_imbalance_bars,
Mbp10Trade,
};
pub use trades_loader::{get_trades_for_bar, load_trades_sync, DbnTrade};
pub use bar_resampler::BarResampler;