# arithmancer **Repository Path**: chenlf01/arithmancer ## Basic Information - **Project Name**: arithmancer - **Description**: Logarithmic Market Scoring Rule Prediction Market - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2025-12-29 - **Last Updated**: 2025-12-29 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Arithmancer Arithmancer is a prediction market application. Users can make trades on predictions, betting on how likely an event is to occur. Each prediction is an individual market with a market maker system modeled on Robin Hanson's logarithmic market scoring rules. This was designed and tested as an internal corporate decision market. Using outside of an organization as a general application will likely require additional features (ex. ACLs, better form validation and security, etc.). Note: This is not an official Google product. ![Arithmancer](https://storage.googleapis.com/arithmancer-static/arithmancer.png "Preview") ![Arithmancer Prediction](https://storage.googleapis.com/arithmancer-static/arithmancer_prediction.png) ## Getting Started pip install -r requirements.txt [Download and install the Google Cloud SDK](https://cloud.google.com/sdk/downloads#interactive), and use dev_appserver.py to run a local server for development. Create your first prediction by going to "/predictions/create". ### Prerequisites This runs on App Engine and uses Google Cloud Datastore. Google Cloud SDK is a prerequisite for development and deployment. ## Running the tests python runner.py app_test.py ## Contributing Please read CONTRIBUTING.md for details on contributing. Features that would be desired/on the roadmap: - Comments - ACLs for viewing and trading on a prediction - Search ## Authors * **Ben Goldhaber** - *Initial work* * **Nathan Rogers** - *Daily Price Cron Job* ## License This project is licensed under the Apache 2 License - see the [LICENSE.md](LICENSE.md) file for details.