Quant Simulation Toolkitv1.0.0

Use binary_pricer.py to compare Monte Carlo-simulated probabilities of asset prices exceeding a strike with Black-Scholes benchmarks, enabling calibration of prediction market contracts. This helps traders adjust prices based on model outputs and track calibration via Brier scores for accuracy.

Apply tail_risk.py with importance sampling to estimate low-probability events like 50% asset drawdowns, crucial for stress testing and pricing deep out-of-the-money options. This method reduces variance significantly, allowing efficient risk-of-ruin calculations without extensive simulations.

Utilize particle_filter.py to implement a sequential Monte Carlo filter for updating hidden win probabilities as binary observations (e.g., county election results) arrive. This supports real-time decision-making in political forecasting and similar dynamic binary outcome scenarios.

Employ copula_sim.py to model dependencies between assets using Gaussian, Student-t, and Clayton copulas, simulating correlated outcomes for portfolio risk analysis. This aids in understanding joint tail risks and diversification effects in multi-asset strategies.

Run market_abm.py to simulate prediction market dynamics with agent-based models, exploring how trading behaviors and microstructure affect price formation. This is useful for designing and testing market mechanisms in fintech or decentralized platforms.

Offer a cloud-based platform where users access these simulation tools via API for on-demand risk assessment and pricing models. Revenue is generated through subscription tiers based on usage volume and advanced features like custom model integration.

Provide bespoke consulting services to financial firms, tailoring the toolkit for specific use cases such as rare event estimation or real-time forecasting. Revenue comes from project-based fees and ongoing support contracts for implementation and optimization.

Host workshops and online courses teaching Monte Carlo techniques and quantitative simulation using this toolkit, targeting finance professionals and students. Revenue is earned through course enrollment fees and certification programs for skill validation.