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

curl -fsSL https://deb.nodesource.com/setup_current.x | sudo -E bash -

sudo apt install -y nodejs

wget https://github.com/apache/rocketmq-client-cpp/releases/download/2.0.0/rocketmq-client-cpp-2.0.0.amd64.deb sudo dpkg -i rocketmq-client-cpp-2.0.0.amd64.deb

sudo -E /opt/tljh/user/bin/python3 -m pip install backtrader matplotlib dash pandas psutil ffquant numpy rocketmq-client-python

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

Let new user register with username and password

sudo tljh-config set auth.type nativeauthenticator.NativeAuthenticator

sudo tljh-config reload

BE CAREFULL!!! When this feature is enabled, the admin user has to go through the sign-up process. Username must be the same with the one used in the installation command.

Admin user authorizes user registration at http://192.168.25.144/hub/authorize

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

This version

1.6.0

Download files

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

Source Distribution

ffquant-1.6.0.tar.gz (18.8 kB view details)

Uploaded Source

Built Distribution

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

ffquant-1.6.0-py3-none-any.whl (33.8 kB view details)

Uploaded Python 3

File details

Details for the file ffquant-1.6.0.tar.gz.

File metadata

  • Download URL: ffquant-1.6.0.tar.gz
  • Upload date:
  • Size: 18.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.1

File hashes

Hashes for ffquant-1.6.0.tar.gz
Algorithm Hash digest
SHA256 00d174763db239ec009b655907dd7693786e7ca2d33fd9c3567f55c2f68cf319
MD5 9be878ee54295c5ca5e8b0771817121e
BLAKE2b-256 f0a078f348872b11d16e78a4741f6d1927a559697c3f09b9d4184b0b733d7bb4

See more details on using hashes here.

File details

Details for the file ffquant-1.6.0-py3-none-any.whl.

File metadata

  • Download URL: ffquant-1.6.0-py3-none-any.whl
  • Upload date:
  • Size: 33.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.1

File hashes

Hashes for ffquant-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 736d0c6411381c0338afd3f264d4ab5c7bdba6d575c2a359abad61e9e3fb12e8
MD5 51df2d41503e7f693f40606d0a2f1967
BLAKE2b-256 e89203ece32a528df6ae781d14d2182633a3f06e3ab8725951e3e8d1a90ee682

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