Complexity Global School - Group Project
Authors: Ebba Mark, Bridget Smart, Anne Bastian, Josefina Waugh
This repository contains two project folders (Note: files described below are not an exhaustive list of the repository content):
main_pred_market.ipynb: Jupyter Notebook that demonstrates and describes the functionality of the prediction market model simulations/: subfolder that includes code and results for the simulation experiments varying agent attributes and introducing a whale agent on the betting market. simulations/better.py: better class and market functions required to run the model
Contains all relevant files (including market_functions.py - copy of better.py) for running a Dash app that allows users to test the performance of the agent-based prediction market model when varying the distribution of agent attribute values in the betting population.
run "market_visualisation.py" to launch the Dash app on a local host.
