Monte Carlo engine
Dual-engine stochastic simulation for capital projection across multiple scenarios. 10,000 iterations, calibrated confidence intervals.
- Monte Carlo
- P95 / P99
- Dual engine
Product published by Fintech Solutions Consulting
An integrated simulation, structuring and decision-support platform for financial market practitioners.
The problem
Market practitioners work across disconnected tools — data, charts, simulation, tracking, risk. Each break between them weakens traceability, multiplies re-keying and slows the decision.
Cantara brings these dimensions together in a coherent platform, designed by and for users who understand the operational reality of market activities.
Architecture
The market operations dashboard organises analysis and decision-making across thirteen integrated functional layers. Select a layer to detail its role.
Modules
Designed as a coherent whole, not a juxtaposition of calculators.
Dual-engine stochastic simulation for capital projection across multiple scenarios. 10,000 iterations, calibrated confidence intervals.
Fine-grained brokerage fee modelling across brokers (IBKR Pro, SEC/FINRA/exchange fees, liquidity rebates). Accurate tiers and pricing modes.
Position sizing based on user-defined risk thresholds, loss scenarios and objectives. Configurable rules, real-time validation.
Detection and qualification of market configurations based on configurable criteria.
Gantt-style planning tool for market-analysis and quantitative-research project management. Integrated with the Cantara ecosystem.
Unified dashboard orchestrating the thirteen functional layers. Central module and main entry point.
Illustrative simulation
A small educational experiment based on fictional data. Adjust the assumptions and compare two scenarios using a Monte Carlo method.
Scenario A: Median final capital 14,670 (P5 10,883 – P95 19,773), Median max drawdown 9%, Probability of ending above initial capital 98%. Scenario B: Median final capital 13,654 (P5 5,617 – P95 33,194), Median max drawdown 36%, Probability of ending above initial capital 74%.
Illustrative data. Educational simulation with simplified assumptions. Not investment advice, nor a performance promise.
Technical architecture
Designed for robustness, security and scalability.
Security & limits
Transparency is part of the product.
Cantara equips decision-making and simulation. It makes no investment decision on your behalf.
The simulations shown here rely on simplified assumptions and fictional data.
Mutual authentication, secrets management and end-to-end audit logs.
No past or simulated result predicts future outcomes.
For a product walkthrough or platform access, let’s get in touch.