stock_path_tracker

environment

After cloning this repository, please also add submodule:

datasci-info/fflowlab Then please build the conda environment with the following codes:

conda env create -f environment.yml
conda activate stock_path_tracker

data
- turnpt_analysis.py : y
- prepare_X.py : X
- data_ML.py : data preparation
signal
- model_logistic_regression.py : logistic regression
- catboost_model : catboost classification
  - catboost_hyperpara_searching.py
- signal_confirmation.py
strategy
- strategy_nav.py

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
catboost_info		catboost_info
data		data
models		models
tmp		tmp
README.md		README.md
catboost_hyperpara_searching.ipynb		catboost_hyperpara_searching.ipynb
catboost_model.ipynb		catboost_model.ipynb
config.py		config.py
data_ML.py		data_ML.py
dev-tmux.sh		dev-tmux.sh
environment.yml		environment.yml
gen_models.sh		gen_models.sh
model.py		model.py
model_dev.ipynb		model_dev.ipynb
model_dev.py		model_dev.py
model_logistic_regression.ipynb		model_logistic_regression.ipynb
model_logistic_regression.py		model_logistic_regression.py
model_result.csv		model_result.csv
nav_analysis.ipynb		nav_analysis.ipynb
optimize.py		optimize.py
ortools_opt.py		ortools_opt.py
prepare_X.ipynb		prepare_X.ipynb
prepare_X.py		prepare_X.py
settlement_txf.csv		settlement_txf.csv
signal_confirmation.ipynb		signal_confirmation.ipynb
signal_confirmation.py		signal_confirmation.py
strategy_nav.ipynb		strategy_nav.ipynb
strategy_nav.py		strategy_nav.py
turnpt_analysis.ipynb		turnpt_analysis.ipynb
turnpt_analysis.py		turnpt_analysis.py