F Future Code Atlas CSV data -> feature -> signal -> backtest

Commodity futures / code reading surface

One clean futures research project, module by module.

Future OS rewrites a course-style futures research demo into a typed, modular and testable pipeline: config, schema, data loader, features, signals, backtest, evaluation and operations.

Inspect features.py View all modules
ATR / RSI / ROLLRET feature -> signal -> NAV
01

Research Pipeline

  1. Offline CSV
  2. Normalized OHLCV
  3. ATR / RSI / Rollret
  4. Signal / weights
  5. Backtest
  6. Evaluation
02

Core Python Modules

Claim Boundary

Research framework, not production CTA trading system.

This site explains how the clean Future OS code is organized. It can explain data understanding, feature construction, signal timing, simplified backtesting and metric calculation. It does not claim live execution, margin service, full risk engine, capacity modelling or production deployment.