https://github.com/chinchalinchin/scrilla
A python application that wraps around various financial APIs, calculates statistics and optimizes portfolio allocations.
Science Score: 26.0%
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Low similarity (16.4%) to scientific vocabulary
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Repository
A python application that wraps around various financial APIs, calculates statistics and optimizes portfolio allocations.
Basic Info
- Host: GitHub
- Owner: chinchalinchin
- License: gpl-3.0
- Language: Python
- Default Branch: develop/main
- Homepage: https://pypi.org/project/scrilla/
- Size: 138 MB
Statistics
- Stars: 9
- Watchers: 2
- Forks: 1
- Open Issues: 1
- Releases: 6
Topics
Metadata Files
README.md
scrilla: A Financial Optimization Application
scrilla is an open-source financial analysis application written in Python. It can optimize portfolios, calculate statistics using a variety of methods and algorithms, generate graphical plots and much more. It uses historical data retrieved from various sources, such as the US Treasury RSS Feed, AlphaVantage, IEX and Quandl, to calibrate models.
NOTE: None of the results of scrilla should be interpretted as financial advice. All results assume past trends will continue indefinitely into the future, which is usually never the case in reality.

Documentation
Coverage
Code Analysis
Pipelines
| Branch | Status |
| ------ | ------ |
| pypi/micro-update | |
| pypi/minor-update |
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| develop/main |
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Quick Start
Refer to the documentation for more detailed information on installation and usage.
Installation
PyPi Distribution
Install the package with the Python package manager,
shell
pip install scrilla
This will install a command line interface on your path under the name scrilla. Confirm your installation with with the version command,
shell
scrilla version
You may need to add your Python scripts /bin/ to the $PATH if this command is not found.
To keep the installation as minimal as possible, the base package does not include the GUI libraries. You can install the optional GUI dependency (PySide6) with,
shell
pip install scrilla[gui]
Note, the GUI has a different CLI entrypoint, namely,
shell
scrilla-gui
Source
If you are developing, you can build from source. git clone the repository and then from the root directory install the project dependencies and build the library,
shell
pip3 install -r requirements.txt
python3 -m build
cd into the generated /dist/ to manually install the packaged code,
pip install scrilla-<major>.<minor>.<micro>-py3-none-any.whl
Configuration
In order to use this application, you will need to register for API keys with AlphaVantage, IEX and Quandl/Nasdaq. The program will need to be made aware of these keys somehow. The best option is storing these credentials in environment variables. You can add the following lines to your .bashrc profile or corresponding configuration file for whatever shell you are using,
shell
export ALPHA_VANTAGE_KEY=<key goes here>
export QUANDL_KEY=<key goes here>
export IEX_KEY=<key goes here>
You can also invoke the CLI function store to store the credentials in the local installation /data/common/ directory. To do so,
shell
scrilla store -key <key> -value <value>
where <key> is one of the values: ALPHAVANTAGEKEY, QUANDL_KEY or IEX_KEY. <value> is the corresponding key itself given to you after registration. Obviously, <value> is case-sensitive
Keep in mind if using this method to store the API keys, the keys will be stored unencrypted in the local installation's /data/common/ directory. The recommended method is storing the credentials in the environment.
If no API keys are found through either of these methods, the application will raise an exception.
NOTE: The Quandl/Nasdaq key is technically no required for the majority of the application to function, as interest rates are now retrieved directly from the US Treasury RSS feed. However, it is still recommended that you register for an API key, as Quandl/Nasdaq is still the only source of economic statistics, like GDP or inflation rates.
Environment File
A sample environment file has been included in /env/.sample.env. To configure the application environment, copy this file into a new environment, adjust the values and load it into your session,
```shell cp ./env/.sample.env ./env/.env
adjust .env values
source ./env/.env
the values loaded into your session will now configure scrilla's execution environment
scrilla risk-profile GD LMT ```
Usage
Portfolio Optimization
The following command will optimize a portfolio of consisting of ALLY, BX, GLD, BTC and ETH over the specified date range and save the result to a JSON file,
shell
scrilla optimize-portfolio ALLY BX GLD BTC ETH \
-start <YYYY-MM-DD> \
-end <YYYY-MM-DD> \
-save <absolute path to json file>
Efficient Frontier
The following command will calculaate the efficient frontier for a portfolio consisting of SPY, GLD and USO over the specified date range and save the result to a JSON file,
shell
scrilla efficient-frontier SPY GLD USO \
--start <YYYY-MM-DD> \
--end <YYYY-MM-DD> \
--save <absolute path to json file>
The following command will generate a plot of this frontier in the return-volatility plane,
shell
scrilla plot-ef SPY GLD USO \
--start <YYYY-MM-DD> \
--end <YYYY-MM-DD>
scrilla has lots of other functions. See usage for more information.
Cloud
TODO
currently working on a DynamoDB-based cache and Dockerfiles for lambda functions wrapped around scrilla's main features. will update this section once everything is completed.
Owner
- Name: Grant Moore
- Login: chinchalinchin
- Kind: user
- Location: Cumberland, MD
- Company: Booz Allen
- Website: https://being.chinchalinchin.com
- Twitter: CloudCumberland
- Repositories: 10
- Profile: https://github.com/chinchalinchin
A cage went searching for a bird.
GitHub Events
Total
Last Year
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Grant Moore | c****n@g****m | 1,502 |
| deepsource-autofix[bot] | 6****] | 218 |
| grantmoore | g****e@i****m | 21 |
| DeepSource Bot | b****t@d****o | 3 |
| snyk-bot | s****t@s****o | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 102
- Average time to close issues: N/A
- Average time to close pull requests: 19 days
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 85
- Bot issues: 0
- Bot pull requests: 102
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- deepsource-autofix[bot] (102)
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Packages
- Total packages: 1
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Total downloads:
- pypi 175 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 69
- Total maintainers: 1
pypi.org: scrilla
a financial optimization program
- Documentation: https://chinchalinchin.github.io/scrilla/
- License: GNU GPL v3
-
Latest release: 1.6.0
published over 2 years ago
Rankings
Maintainers (1)
Dependencies
- PyHamcrest >=2.0.3
- PySide2 >=5.15.2.1
- PySide6 >=6.2.0
- boto3 >=1.24.13
- build >=0.6.0
- coverage >=6.1.2
- defusedxml >=0.7.1
- holidays >=0.14.2
- httmock >=1.4.0
- matplotlib >=3.3.3
- moto >=3.1.14
- myst-parser >=0.15.2
- numpy >=1.19.3
- pdoc3 >=0.10.0
- pytest >=6.2.5
- pytest-qt >=4.1.0
- pytest-xvfb >=2.0.0
- python-dateutil >=2.8.2
- requests >=2.25.0
- scipy >=1.7.1
- setuptools >=51.1.1
- sphinx >=4.3.0
- twine >=3.4.2
- actions/checkout v2 composite
- github/codeql-action/analyze v1 composite
- github/codeql-action/autobuild v1 composite
- github/codeql-action/init v1 composite
- circleci/python latest build