OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase working capital.

Last update: Feb 12, 2022

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Overview

OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase working capital.

The Loop ➿

The mechanics are rather simple. Just follow the prompts and use your best judgement to turn a profit by making the right calls at the right times. Be warned though, you’ll be going into this thing with an outstanding debt that will need to be repaid in a timely manner, or you’ll drown in debt (game over). A bit like a student loan run rife, but a little more … finite.

Future 📈

Seperate out function definitions into separate modules.
Improve market reroll.
Add random event mechanic.
Improve start turn overview/position summary table.
Add cost to travel mechanic.
Add travel methods mechanic.
Improve buy/sell mechanic.

More to come...

Owner

Tom

I like algorithms.

GitHub Repository

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OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase working capital.

Related tags

Overview

Overview

The Loop ➿

Future 📈

Owner

Tom

Snakemake workflow for converting FASTQ files to self-contained CRAM files with maximum lossless compression.

Randomisation-based inference in Python based on data resampling and permutation.

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python

First and foremost, we want dbt documentation to retain a DRY principle. Every time we repeat ourselves, we waste our time. Second, we want to understand column level lineage and automate impact analysis.

follow-analyzer helps GitHub users analyze their following and followers relationship

vartests is a Python library to perform some statistic tests to evaluate Value at Risk (VaR) Models

Manage large and heterogeneous data spaces on the file system.

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scikit-survival is a Python module for survival analysis built on top of scikit-learn.

Business Intelligence (BI) in Python, OLAP

Data Competition: automated systems that can detect whether people are not wearing masks or are wearing masks incorrectly

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