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 confluent-kafka apollo-client boto3
sudo chmod -R 777 /opt/tljh/user/lib/python3.10/site-packages/pyapollo/
sudo -E /opt/tljh/user/bin/python -m pip install jupyterlab-git==0.44.0
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

Disable Terminal

Log in as admin. Open the terminal and execute commands:

jupyter notebook --generate-config
sudo mv /home/jupyter-tljhadmin/.jupyter/jupyter_notebook_config.py /opt/tljh/user/etc/jupyter/

Edit /opt/tljh/user/etc/jupyter/jupyter_notebook_config.py and change c.NotebookApp.terminals_enabled to False.

sudo systemctl restart jupyterhub jupyter-tljhadmin

Disable Culling Idle Servers

sudo tljh-config set services.cull.max_age 0
sudo tljh-config set services.cull.timeout 31536000
sudo systemctl restart jupyterhub jupyter-tljhadmin

Installing Apollo

Install Docker

curl -fsSL https://download.docker.com/linux/debian/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/debian $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io
sudo systemctl enable docker
sudo systemctl start docker
sudo usermod -aG docker $USER
newgrp docker

log out from the terminal and log in.

Install docker-compose

sudo curl -L "https://github.com/docker/compose/releases/download/v2.20.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose

Visit https://github.com/apolloconfig/apollo-quick-start and get docker-compose.yml and sql folder. Rearrange them like:

- docker-quick-start
  - docker-compose.yml
  - sql
    - apolloconfigdb.sql
    - apolloportaldb.sql

Execute docker-compose up under docker-quick-start directory

Make backtest_data_viewer.exe

Run the following command at the root directory of ffquant on Windows.

python ffquant/utils/make_bt_data_viewer.py

Output exe file path is dist/backtest_data_viewer_1.0.0.exe

Open bt_data_viewer_setup.iss with Inno Setup and Compile. The Setup Installer is Output/mysetup.exe

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-2.5.1.tar.gz (33.5 kB view details)

Uploaded Source

Built Distribution

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

ffquant-2.5.1-py3-none-any.whl (59.9 kB view details)

Uploaded Python 3

File details

Details for the file ffquant-2.5.1.tar.gz.

File metadata

  • Download URL: ffquant-2.5.1.tar.gz
  • Upload date:
  • Size: 33.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.1

File hashes

Hashes for ffquant-2.5.1.tar.gz
Algorithm Hash digest
SHA256 7a15afb2589d3ddebec825c72c88085606fa3a8fd1f84e79a67c901904803cd0
MD5 a9c6b78ca2b49285eb7b24743441d801
BLAKE2b-256 8d595d3f8679ef46cbaf7efba708b386818edc28def33d09974508f86a77d145

See more details on using hashes here.

File details

Details for the file ffquant-2.5.1-py3-none-any.whl.

File metadata

  • Download URL: ffquant-2.5.1-py3-none-any.whl
  • Upload date:
  • Size: 59.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.1

File hashes

Hashes for ffquant-2.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 58e018091dd98f2cfaba5b500a29f50510dda71d9e3888b1742dc104e5e9623d
MD5 5200b13dc68f84897d013cb76c9fa241
BLAKE2b-256 7cea95f08dfbccf8e9ad5e604017c61e8dd30e7fccb1089a028e2d0215842f00

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