FastMM documentation
FastMM C++ API 0.6.0
Public headers, tier 1 and tier 2
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 extractor.hpp
 extract_features(): drives an MdSource into the engine's own L2Book and emits a FeatureTable.
 
 feature_table.hpp
 FeatureTable: book features and forward mid moves, one row per qualifying market-data event, so a predictor can be judged before anyone writes a strategy around it.
 
 signal_eval.hpp
 evaluate_signal(): what a candidate predictor is worth, per horizon, before anyone writes a strategy around it.