canswim

Developer toolkit for CANSLIM investment style practitioners

For a brief introduction read this blog post.

Here is also a video recording of a CANSWIM presentation for the Python Austin Meetup.

Setup

pip install canswim

Install canswim package in dev mode

pip install -e ./

Command line interface

$  python -m canswim -h
usage: canswim [-h] [--forecast_start_date FORECAST_START_DATE] [--new_model NEW_MODEL] [--same_data SAME_DATA] {dashboard,gatherdata,downloaddata,uploaddata,modelsearch,train,forecast}

CANSWIM is a toolkit for CANSLIM style investors. Aims to complement the Simple Moving Average and other technical indicators.

positional arguments:
  {dashboard,gatherdata,downloaddata,uploaddata,modelsearch,train,forecast}
                        Which canswim task to run: `dashboard` for stock charting and scans of recorded forecasts. 'gatherdata` to gather 3rd party stock market data and save to HF Hub. 'downloaddata` download model training and forecast
                        data from HF Hub to local data storage. 'uploaddata` upload to HF Hub any interim changes to local train and forecast data. `modelsearch` to find and save optimal hyperparameters for model training. `train` for
                        continuous model training. `forecast` to run forecast on stocks and upload dataset to HF Hub.

options:
  -h, --help            show this help message and exit
  --forecast_start_date FORECAST_START_DATE
                        Optional argument for the `forecast` task. Indicate forecast start date in YYYY-MM-DD format. If not specified, forecast will start from the end of the target series.
  --new_model NEW_MODEL
                        Optional argument for the `train` task. Whether to train a newly created model or continue training an existing pre-trained model.
  --same_data SAME_DATA
                        Optional argument for the `dashboard` task. Whether to reuse previously created search database (faster start time) or update with new forecast data (slower start time).

NOTE: NOT FINANCIAL OR INVESTMENT ADVICE. USE AT YOUR OWN RISK.

Release files for canswim 0.0.20250106

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for canswim 0.0.20250106
File	Size	Uploaded
canswim-0.0.20250106.tar.gz	52.3 kB	Jan 5, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for canswim 0.0.20250106
File	Interpreter	ABI	Platform	Reset
canswim-0.0.20250106-py3-none-any.whl 55.6 kB Jan 5, 2025	Python 3	none	any	Details

Total release size: 107.8 kB

Release files / canswim-0.0.20250106.tar.gz

Download URL	canswim-0.0.20250106.tar.gz
Size	52.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`bd63189a7c33fa1f1e9aa2fc006913d8a600bdc064b8f68c54dfa5d283879f30`
BLAKE2b-256 checksum How to use checksums	`01419f12be6ae5fcb6f14f5174754eb2d5a7ac9dffb4284323e3686c197c606f`
Upload date	Jan 5, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.0.0 CPython/3.11.7`

Release files / canswim-0.0.20250106-py3-none-any.whl

Download URL	canswim-0.0.20250106-py3-none-any.whl
Size	55.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`c16320c479808a9a50a2e4e84acaf321bbcde0a89cc3ca898d87b8b62e79bd48`
BLAKE2b-256 checksum How to use checksums	`83aacc7f7f9e345ec75a734f4b0226f44207d3be60c772ab4ac29ec9532b2ac4`
Upload date	Jan 5, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.0.0 CPython/3.11.7`