Blackjack Strategy Simulator: Data-Driven Decision-Making in Blackjack

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Hey HN, I created the Blackjack Strategy Simulator —an open-source, Python-based tool for blackjack. --- What it Does: - Simulate Every Scenario : Generate custom basic strategy tables tailored to specific rule sets. - Expected Value (EV) Calculation : Test profitability of strategies using Monte Carlo simulations with multithreading support. - Best Move Analysis : Evaluate the optimal action for any hand in any situation, accounting for complexities like card splits. --- Key Features: - Customizable Rule Sets : Supports deck variations, S17/H17, DAS, surrender, and dealer peeks. - Multithreading : Speeds up strategy generation and EV calculations with support for all available cores. - Advanced Tools for Developers : - Save, load, and plot strategy tables. - Test built-in and custom strategies with extensible `action_strategies` and `betting_strategies` modules. - Modify deck compositions to mimic card-counting scenarios. The tool comes with readable and modifiable Python code —perfect for building your own experiments or even integrating with other tools. --- Resources: - Repo : [Blackjack Strategy Simulator on GitHub]( https://github.com/AttackingOrDefending/Blackjack-Strategy-S... ) - Docs : [Full Documentation]( https://Blackjack-Strategy-Simulator.readthedocs.io/en/lates... ) I’d love feedback, feature requests, or contributions.

Visit product View on Hacker NewsNov 28, 2024

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