Community Examples

Open-source strategy examples contributed by the ClyptQ community

Overview

The examples/community/ directory contains open-source Jupyter notebooks contributed by community members. Each notebook demonstrates a quantitative finance concept implemented as a working ClyptQ strategy or analysis.

Community examples are designed to be:

• Self-contained — each notebook runs independently with a single pip install clyptq
• Educational — theoretical background alongside practical implementation
• Copy-paste ready — use them as starting points for your own strategies

How It Works

Community members contribute notebooks to the examples/community/ directory via pull request. Each notebook follows a consistent structure:

1. Theory section — mathematical background and intuition
2. Implementation — ClyptQ graph construction with operators
3. Backtest — full TradingSpec configuration and execution
4. Analysis — performance metrics, visualizations, and interpretation

Browsing Examples

Browse the community examples on GitHub:

examples/community/
├── 01_ornstein_uhlenbeck_mean_reversion.ipynb
├── 02_markowitz_risk_parity_equal_weight.ipynb
├── 03_kelly_criterion_position_sizing.ipynb
├── ...
└── 14_alpha191_comprehensive_backtest.ipynb

Topics range from foundational concepts (mean reversion, portfolio optimization, Kelly criterion) through advanced analysis (regime switching, factor models, IC analysis) to comprehensive alpha library backtests (Alpha101, Alpha191).

Contributing

To contribute a community example:

1. Create a Jupyter notebook in examples/community/ following the naming convention: {number}_{descriptive_name}.ipynb
2. Include theory, implementation, backtest, and analysis sections
3. Submit a pull request

Related Pages

First Strategy

Official tutorial: build your first strategy step by step

Jupyter Workflow

How ClyptQ works inside Jupyter notebooks