Skip to main content

A python package for providing fintech indicators

Project description

Install JupyterHub

curl -L https://tljh.jupyter.org/bootstrap.py | sudo -E python3 - --admin tljhadmin --version 1.0.0b1

Edit ~/.profile, add the following to the end

export PATH=/opt/tljh/user/bin/:$PATH

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.3/install.sh | bash

nvm install 20.17.0

nvm alias default 20.17.0

sudo -E /opt/tljh/user/bin/python3 -m pip install backtrader matplotlib dash pandas netifaces psutil ffquant

sudo -E /opt/tljh/user/bin/jupyter lab build

sudo systemctl restart jupyterhub jupyter-tljhadmin

Visit http://192.168.25.144 in your browser

Log in as tljhadmin and set your password

Compile ffquant and upload to PyPi

python -m pip install setuptools wheel twine

Increase version number in setup.py

python setup.py sdist bdist_wheel

python -m twine upload dist/*

Ask Joanthan for PyPi API token.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ffquant-1.2.9.tar.gz (10.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ffquant-1.2.9-py3-none-any.whl (18.3 kB view details)

Uploaded Python 3

File details

Details for the file ffquant-1.2.9.tar.gz.

File metadata

  • Download URL: ffquant-1.2.9.tar.gz
  • Upload date:
  • Size: 10.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.1

File hashes

Hashes for ffquant-1.2.9.tar.gz
Algorithm Hash digest
SHA256 dbda86a7b3b335b0c867603ae3d0ec9b19cf447c6e368f4c40dd19e074ba2b0b
MD5 e2fcc74c555194bd444aff9710c10480
BLAKE2b-256 55368343086302128b748defe15e931bba8b52d396e07d57da952efd218e7d9b

See more details on using hashes here.

File details

Details for the file ffquant-1.2.9-py3-none-any.whl.

File metadata

  • Download URL: ffquant-1.2.9-py3-none-any.whl
  • Upload date:
  • Size: 18.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.1

File hashes

Hashes for ffquant-1.2.9-py3-none-any.whl
Algorithm Hash digest
SHA256 259797f708bd56f363d847a00214940c4b4b7f123b1a2cb0302ffacb7c1ff7b1
MD5 ec608d3418a679765c71acfae835f35d
BLAKE2b-256 9e349bcfaf22394abe65ae10d5997bcf79b4fc2de2e79f5226d78aa292f708b1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page