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This repository contains trading strategy, backtest and indicators that can be used to as educational materials/reference for quantitative analysis trading strategy research coding only.

thanabgithub/quant_time-series_data_analysis

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SAMPLE_Thana_time-series_data_analysis

This repository contains trading strategy, backtest and indicators that can be used as educational materials/references for quantitative analysis trading strategy research coding.

For those who are interested in data analysis for time-series, you can visit SAMPLE_Thana_time-series_data_analysis\src\Thana_strat_tool\indicators. It contains a large number of statistical analysis, and filters. Those functions have been improved to speed up the calculations. I used some of those analysis tools to generate more than 5 % of active return in Thai equity market in 2021.

Prerequisites

dataframe_image==0.1.1
matplotlib==3.3.2
numba==0.51.2
numpy==1.19.5
pandas==1.1.4
Pillow==9.0.0
requests==2.26.0
scikit_learn==1.0.2
scipy==1.5.2
seaborn==0.11.0
statsmodels==0.13.1
TA_Lib==0.4.19

Installing

  1. Clone it from GitHub.
  2. Install the package by the following code. It will run SAMPLE_Thana_time-series_data_analysis\setup.py for you and install the package with prerequisities.
  3. DONE. you can use SAMPLE_Thana_time-series_data_analysis\src\Thana_strat_tool\indicator for your time-series analysis right away.
pip install .

REMARK: if you have a problem with installing a library called "talib", please manually install it from the following address. https://www.lfd.uci.edu/~gohlke/pythonlibs/

Author

  • Thana Burana-amorn (ブーラナアモン タナ)

Acknowledgments

  • Thank Pimol Burana-amorn for supporting my dream.
  • Thank Quantnet for giving me inspriation.

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This repository contains trading strategy, backtest and indicators that can be used to as educational materials/reference for quantitative analysis trading strategy research coding only.

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