A python package for providing fintech indicators

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  • License: MIT License
  • Author: Jonathan Lee
  • Requires: Python >=3.6
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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 numpy

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

Verified details

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Maintainers
Avatar for lihuapinghust from gravatar.com lihuapinghust

Unverified details

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Project links
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  • License: MIT License
  • Author: Jonathan Lee
  • Requires: Python >=3.6
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Release history Release notifications | RSS feed

4.0.6

4.0.5

4.0.4

4.0.3

4.0.2

4.0.1

4.0.0

3.9.9

3.9.8

3.9.7

3.9.6

3.9.5

3.9.4

3.9.3

3.9.2

3.9.0

3.8.9

3.8.8

3.8.7

3.8.6

3.8.5

3.8.4

3.8.3

3.8.2

3.8.1

3.8.0

3.7.9

3.7.8

3.7.7

3.7.6

3.7.5

3.7.4

3.7.3

3.7.1

3.7.0

3.6.9

3.6.8

3.6.7

3.6.6

3.6.5

3.6.4

3.6.3

3.6.2

3.6.0

3.5.9

3.5.8

3.5.7

3.5.6

3.5.5

3.5.4

3.5.2

3.5.0

3.4.9

3.4.8

3.4.7

3.4.6

3.4.5

3.4.4

3.4.3

3.4.2

3.4.1

3.4.0

3.3.8

3.3.7

3.3.6

3.3.5

3.3.4

3.3.3

3.3.2

3.3.1

3.3.0

3.2.9

3.2.8

3.2.7

3.2.6

3.2.5

3.2.4

3.2.3

3.2.2

3.2.1

3.2.0

3.1.9

3.1.8

3.1.6

3.1.5

3.1.4

3.1.1

3.1.0

3.0.9

3.0.8

3.0.7

3.0.6

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.9.9

2.9.8

2.9.6

2.9.5

2.9.4

2.9.3

2.9.2

2.9.1

2.9.0

2.8.9

2.8.8

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.8.0

2.7.9

2.7.8

2.7.7

2.7.6

2.7.5

2.7.4

2.7.3

2.7.2

2.7.1

2.7.0

2.6.9

2.6.8

2.6.7

2.6.6

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.9

2.5.8

2.5.7

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.9

2.4.8

2.4.7

2.4.6

2.4.5

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.9

2.2.8

2.2.7

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.9

2.0.7

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.9.9

1.9.8

1.9.7

1.9.6

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.9

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.1

1.6.9

1.6.8

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.9

1.5.8

1.5.7

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

This version

1.4.4

1.4.2

1.4.1

1.4.0

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.0

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

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