A volatility analysis tool which contains the following components:
- Data loader. Load historical tick data to memory
- Data pre_processor. Clean data, resample, fill na and etc
- Realized volatility tool
    - Analysis realized volatility by using different models
        - Close to Close
        - Yang Zhang
        - etc
- Volatility Prediction
    - Predict volatility with different frequency, minute, hour, day, week and etc
    - Time series models are used
    - Machine learning algorithms can be applied to optimize results

- Graph
    - Generate kinds of graphs to help analysis

Author: Zeyang Tao