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.
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
- Clone it from GitHub.
- 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.
- 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/
- Thana Burana-amorn (ブーラナアモン タナ)
- Thank Pimol Burana-amorn for supporting my dream.
- Thank Quantnet for giving me inspriation.