📄️ Data
Fetch raw market data, form optional bars, and hand experiment-ready splits to the rest of Limen.
📄️ Experiment
Define experiments, run parameter search, and promote successful runs into reusable inference objects.
📄️ SFD
Package ready-to-run Single-File Decoders that plug directly into the Universal Experiment Loop.
📄️ Indicators
Provide the lower-level technical indicator library that manifests and custom prep functions build on.
📄️ Features
Build higher-level model inputs and target helpers on top of raw bars and indicator columns.
📄️ Transforms
Hold lightweight transform helpers for target construction and data cleanup.
📄️ Scalers
Fit train-only feature scaling and apply it consistently across validation and test data.
📄️ Metrics
Score classifier and regressor outputs so experiments can compare permutations on consistent metrics.
📄️ Log
Turn finished experiment runs into analyzable tables for prediction quality, confusion behavior, backtests, and parameter diagnostics.
📄️ Cohort
Inference-time cohort surfaces for aggregating decoder outputs from completed Limen experiments.
📄️ Backtest
Evaluate aligned predictions as trading outcomes through either a vectorized snapshot or a sequential simulation.
📄️ Trading
Provide the account ledger used by sequential backtests to track positions and balances over time.
📄️ Utils
Hold the smaller cross-cutting helpers that support experiments without belonging to one primary domain package.