https://github.com/open-risk/furiousbanker

FuriousBanker is a platform for developing serious games to support risk management training
https://github.com/open-risk/furiousbanker

financial-literacy game kivy python risk-management serious-game training

Last synced: 4 months ago
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FuriousBanker is a platform for developing serious games to support risk management training

• Host: GitHub
• URL: https://github.com/open-risk/furiousbanker
• Owner: open-risk
• License: mit
• Created: 2020-07-15T15:15:21.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-09-05T19:32:31.000Z (about 1 year ago)
• Last Synced: 2024-10-14T01:44:27.455Z (about 1 year ago)
• Topics: financial-literacy, game, kivy, python, risk-management, serious-game, training
• Language: Python
• Homepage: https://www.openriskmanagement.com/furiousbanker/
• Size: 258 KB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## About FuriousBanker

FuriousBanker is an educational game series developed by Open Risk. The objective is to enable modern interactive eLearning for people working (or studying to work) in financial risk management. 

The game concepts and logic are directly derived from realistic situations and tools used in practice (but may have been simplified and/or dramatized). It belongs to the genre of _serious games_.

![Overview](/data/Overview.png)

## Installation and Starting the game

* Clone the github repository

* Install the requirements

* Run the game

```bash

git clone https://github.com/open-risk/FuriousBanker.git

cd FuriousBanker

pip install -r requirements.txt

python FuriousBanker.py

```

## Credit Detox Challenge Gameplay

In the _credit detox_ challenge you emulate a credit portfolio manager. There are a number of important concepts to go over before you can master the game. While the game itself is a simplified (and accelerated) version of reality, the underlying credit and risk management concepts are not simplified. In particular calculations are performed (where applicable) with actual libraries and tools - in this case the concentrationMetrics Library and with reference to the documentation at the Open Risk Manual.

You can read more about it [here](https://www.openriskmanagement.com/furiousbanker/)