Using Quantiacs on Your Machine
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This document provides instructions for using the Quantiacs toolbox locally on your own machine. It describes how to install Anaconda, create a Quantiacs environment, set your API key, activate the environment, install packages, run example code, and upload local code to the Quantiacs servers for submission and evaluation. Local development allows you to use your own computing resources and download financial data, and enables features like parallelization for optimization algorithms.
Using Quantiacs on Your Machine
- 1. Using Quantiacs on Your Machine Using Quantiacs on Your Machine A tutorial showing you how to use the Quantiacs toolbox on your machine A tutorial showing you how to use the Quantiacs toolbox on your machine
- 2. 2 Using Quantiacs Locally Using Quantiacs Locally ● You can use the Quantiacs toolbox on our servers and code You can use the Quantiacs toolbox on our servers and code using Jupyter or JupyterLab using Jupyter or JupyterLab ● We also offer you the option to download the Quantiacs We also offer you the option to download the Quantiacs toolbox and financial data on your machine for free toolbox and financial data on your machine for free ● Detailed instructions on the Documentation page: Detailed instructions on the Documentation page: Local development of trading strategies Local development of trading strategies
- 3. 3 Install Anaconda Install Anaconda Install Install Anaconda Anaconda using one of the following links: using one of the following links: https://www.anaconda.com/products/individual https://www.anaconda.com/products/individual https://repo.anaconda.com/archive https://repo.anaconda.com/archive Next create an environment for the Quantiacs library using: Next create an environment for the Quantiacs library using: conda create -n qntdev quantiacs-source::qnt conda-forge::ta-lib conda-forge::dash=1.18 python=3.7 conda create -n qntdev quantiacs-source::qnt conda-forge::ta-lib conda-forge::dash=1.18 python=3.7 The command will create a virtual environment where you The command will create a virtual environment where you can install packages for Quantiacs without breaking can install packages for Quantiacs without breaking dependencies. dependencies.
- 4. 4 Set the API Key Set the API Key Set the API key you find in your Quantiacs Profile area: Set the API key you find in your Quantiacs Profile area: conda env config vars set -n qntdev API_KEY={your_api_key_here} conda env config vars set -n qntdev API_KEY={your_api_key_here}
- 5. 5 Using Your Environment Using Your Environment Your Quantiacs environment can be activated using: Your Quantiacs environment can be activated using: → → conda activate qntdev conda activate qntdev and packages for developing your algorithm installed with: and packages for developing your algorithm installed with: → → conda install {package_name} conda install {package_name} You can leave the Quantiacs environment with: You can leave the Quantiacs environment with: → → conda deactivate conda deactivate Once you activate the Quantiacs environment, you can Once you activate the Quantiacs environment, you can develop code with the editor you prefer. develop code with the editor you prefer.
- 6. 6 Example Code Example Code Run the following example code in file “strategy.py” on your Run the following example code in file “strategy.py” on your machine typing “python strategy.py”: machine typing “python strategy.py”:
- 7. 7 Upload Local Code... Upload Local Code... You can upload your local code to our servers in 2 You can upload your local code to our servers in 2 ways: ways: 1) Copy and paste the source code into a notebook 1) Copy and paste the source code into a notebook called “strategy.ipynb”; called “strategy.ipynb”; 2) Upload the python source code “strategy.py” in 2) Upload the python source code “strategy.py” in your private area and create a notebook called your private area and create a notebook called “ “strategy.ipynb” with the line “import strategy”. strategy.ipynb” with the line “import strategy”.
- 8. 8 ...and Submit the Algorithm ...and Submit the Algorithm Once you complete development, submit the algorithm Once you complete development, submit the algorithm
- 9. 9 Local Development Local development has several advantages: Local development has several advantages: ● Use your local computing resources Use your local computing resources ● Download locally financial data Download locally financial data ● Use parallelization for the optimizer available at: Use parallelization for the optimizer available at: https://github.com/quantiacs/strategy-futures-ta-global-optimizer https://github.com/quantiacs/strategy-futures-ta-global-optimizer
- 10. 10 Questions? Use our Questions? Use our Forum Forum or or contact us contact us. Check our . Check our Documentation Documentation and read the and read the FAQs FAQs