virgenbonte83296013091/stake-predictor

Stake Core Analytics is a C++ library described as a mathematical framework for analyzing the statistical behavior of online casino game types. The project focuses on probability modeling and outcome simulation for games like Crash, Mines, Dice, and Plinko, which appear on gambling platforms. The library is written using C++23 and is structured as a header-only package, meaning you include the files in your own project rather than installing a compiled program. Building the included benchmarks requires a recent compiler such as GCC 13, Clang 17, or MSVC 2022, along with CMake. The README shows standard build steps: clone the repository, create a build directory, run CMake, and compile. On the technical side, the project claims to run over one million Monte Carlo simulations (a statistical technique that models random outcomes many times to estimate probabilities) in under 100 milliseconds. It includes modules for Kelly Criterion calculations, which is a formula used in probability and finance to size bets relative to an edge, and volatility analysis. Fixed-point arithmetic is used for deterministic number handling rather than floating-point math. The README is fairly short and does not include complete usage documentation, working code examples beyond build commands, or a license file in the repository itself. The preview image link in the README points to a placeholder URL that does not resolve to an actual image. The project is described as a developer tool for building simulations and risk analysis, not as a finished application for end users.