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@slotmath-labs

SlotMath Labs

Open-access stochastic models, GLI-19 volatility engines & multi-tier RTP audits for video slots.
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SlotMath Labs

Division of Applied Probability Institute

Research Portal License: MIT Open Science Datasets Affiliation

SlotMath Labs is an independent quantitative research collective operating under the Applied Probability Institute. We engineer deterministic combinatorial models, open-access stochastic simulation engines, and discrete probability benchmarks for modern slot architectures, configurable RTP profiles, and virtual reel mechanics.


🔬 Core Open-Source Repositories

Repository Focus & Domain Language / Stack License
slot-rtp-monte-carlo-simulator High-throughput Monte Carlo simulation engine (up to 100M spins), Central Limit Theorem convergence, and standard error decay TypeScript / Python MIT
slot-volatility-index-calculator Volatility Index ($VI_{95}$), standard deviation boundaries, multi-trajectory Markov models, and absorption ruin metrics TypeScript / ESM MIT
bonus-buy-ev-evaluator Mathematical expectation evaluator, Pareto right-skewed payout modeling, dud frequency analysis ($<20\times$), and tail risk TypeScript / ESM MIT
research-papers Preprints, 100M-spin empirical convergence datasets, commercial operator RTP audit matrices, and verification suites Markdown / CSV / Python CC-BY-4.0

📊 Research Pillars

  1. RTP Mechanics & Virtual Reel Strip Invariants: Discrete probability mass functions across virtual strips ($L_1 \times L_2 \times \dots \times L_k$), theoretical vs actual RTP convergence, and turnover velocity capital depletion models.
  2. Volatility Indices & Dispersion Dynamics: Statistical modeling of slot variance, 90%/95%/99% confidence intervals, standard deviation contraction ($\sigma / \sqrt{N}$), and Gambler's Fallacy refutations.
  3. Feature Buy Economics & Fat-Tail Distortion: Closed-form mathematical derivations of Bonus Buy expected value, variance multiplier acceleration, and absorption barrier ruin probability.
  4. Bankroll Algorithms & Regulatory Standards: Markov chain ruin models, Doob's Optional Stopping Theorem proofs on negative expectation invariance, and GLI-19/BMM Dieharder CSPRNG certification standards.

🌐 Publications & Live Interactive Calculators

All research papers, interactive zero-runtime client-side calculators, and quantitative glossaries are accessible open-access at slotmath.org:


Academic Citation

If you utilize our algorithms, simulation suites, or datasets in your academic research or applications, please cite:

@article{slotmath2026empirical,
  title={Empirical Distribution of Slot RTP, Volatility Indices, and Tail Win Probabilities Across 100 Million Simulated Spins},
  author={{SlotMath Labs} and {Applied Probability Institute}},
  journal={Applied Probability Institute Research Hub},
  year={2026},
  url={https://slotmath.org/en/research/slot-volatility-100m-simulation-study/}
}

Popular repositories Loading

  1. .github .github Public

    Institutional profile & research directions for SlotMath Labs (Applied Probability Institute)

  2. research-papers research-papers Public

    Open-access 100M-spin slot simulation datasets, academic preprints, operator RTP audit matrices & reproducibility verification suite

    Python

  3. slot-rtp-monte-carlo-simulator slot-rtp-monte-carlo-simulator Public

    Discrete reel cycle Monte Carlo simulation engine, Central Limit Theorem convergence suite & sample size power auditor

    JavaScript

  4. slot-volatility-index-calculator slot-volatility-index-calculator Public

    Gaming Laboratories International (GLI-19) Volatility Index engine, continuous Brownian diffusion ruin probabilities & maximum expected drawdown

    JavaScript

  5. bonus-buy-ev-evaluator bonus-buy-ev-evaluator Public

    Feature Buy (Bonus Buy) expected value evaluator, heavy-tailed payout distribution skewness, empirical dud rates & variance expansion multipliers

    JavaScript

Repositories

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