stockfeat 0.1.0

Python package to create stock related features.

stockfeat

• stockfeat is Python package

Installation

• Install stockfeat from PyPI (recommended). stockfeat is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows.
• A new environment can be created as following:

conda create -n env_stockfeat python=3.8
conda activate env_stockfeat

pip install stockfeat            # normal install
pip install --upgrade stockfeat # or update if needed

• Alternatively, you can install from the GitHub source:

# Directly install from github source
pip install -e git://github.com/erdogant/stockfeat.git@0.1.0#egg=master
pip install git+https://github.com/erdogant/stockfeat#egg=master
pip install git+https://github.com/erdogant/stockfeat

# By cloning
git clone https://github.com/erdogant/stockfeat.git
cd stockfeat
pip install -U .

Import stockfeat package

from stockfeat import stockfeat

Example:

sf = stockfeat(col_open='Open', col_close='Close', col_volume='Volume', col_high='High', col_low='Low')
df = sf.download_example()
df = df.resample('D').mean()

# Collect features
X = sf.fit(df)

Citation

Please cite stockfeat in your publications if this is useful for your research. Here is an example BibTeX entry:

@misc{erdogant2020stockfeat,
  title={stockfeat},
  author={Erdogan Taskesen},
  year={2020},
  howpublished={\url{https://github.com/erdogant/stockfeat}},
}

References

• https://github.com/erdogant/stockfeat

Maintainer

• Erdogan Taskesen, github: erdogant
• Contributions are welcome.
• If you wish to buy me a Coffee for this work, it is very appreciated :) Star it if you like it!