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 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-1.2.5.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

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

ffquant-1.2.5-py3-none-any.whl (16.6 kB view details)

Uploaded Python 3

File details

Details for the file ffquant-1.2.5.tar.gz.

File metadata

  • Download URL: ffquant-1.2.5.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.1

File hashes

Hashes for ffquant-1.2.5.tar.gz
Algorithm Hash digest
SHA256 2fdb6d57643ed1bd74d48c0424284e9f52e91c8e4eb8fea9ba68437fff893e42
MD5 a1191a52a77acdff09319c752418d206
BLAKE2b-256 5f0a1667b31356346ac76755d26ce59a39e2f966417f21911ef3e21b097b46ae

See more details on using hashes here.

File details

Details for the file ffquant-1.2.5-py3-none-any.whl.

File metadata

  • Download URL: ffquant-1.2.5-py3-none-any.whl
  • Upload date:
  • Size: 16.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.1

File hashes

Hashes for ffquant-1.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 8dfdd9f7d40489fc9abe4f06f6a5ccc96b8210f94802d7819033f598efcf2321
MD5 af40601ba2f3aef285028604f1c1e5d9
BLAKE2b-256 00da4099d86e7f6dd539f2175decf6b84337cfa683ccfd4a30a3007c33528b6b

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