Add Sample Data to Improve Transparency for Open‑Source Contributors

[pouria-mirebrahimi]

Goal: Provide lightweight, realistic sample datasets that help contributors understand how AlphaFusionNet works end‑to‑end without exposing proprietary or sensitive information.

Tasks

• Create a sample_data/ directory inside the repository with small, anonymized, synthetic datasets.

• Include representative examples for:

• Raw market data (OHLCV, features, timestamps)
• Model input tensors (small, deterministic arrays)
• Backtesting inputs (signals, positions, returns)
• Metrics v1/v2 input examples
• Scheduler holiday examples (e.g., a tiny CSV of market‑closed dates)

• Add a short README inside sample_data/ explaining:

• What each file represents
• How it flows through the system
• Which modules use it

• Ensure all sample data is synthetic, non‑sensitive, and small enough to keep the repo lightweight.