## IDE for Financial Modeling

Find an auto-generated configuration page, where you can access data sources, configure input data and chose between the models and workflows. You determine the ThetaML building blocks needed for a simulation in an orchestration layer. This only needs a few mouse clicks. A feature rich editor for ThetaML supports you modeling.

New: Run ThetaML Monte-Carlo Simulations from Excel.

## ThetaML Modeling

Historical backtesting, optimization of trading strategies and product valuation: ThetaML delivers a precise description of the model which is solved by Monte Carlo simulation. Since ThetaML is a DSL for mathematical finance, its as simple as BASIC. The syntax allows separation of concerns – it separates product features from the pricing algorithm.

## Integrated Use Case

ThetaML is is useful in the whole life cycle of Structured Products from Structuring, Trading, Riskmanagement, Audit to Hedging and Backoffice.

### Maintainable Monte-Carlo Simulations Easily Coded. Theta Suite.

Find the optimal solution – Theta Suite helps!

Riskmanagement

Structuring

Actuarial Services

Audit and Consulting

Monte Carlo for MS Excel

Data source and reporting tool, MS Excel is a powerful software. Thus, Theta Suite tighly integrates with MS Excel.

Monte Carlo for Matlab

Theta Suite is the optimal Monte Carlo toolbox for Matlab from The MathWorks.

Large Library Support

Developing and maintaining a large pricing and hedging library is challenging. This is what Theta Suite is designed for.

Easy Integration

Prepared for easy integration into Risk Management Systems and Front Office Systems, e.g. Algorithmics' RiskWatch, Murex, Calypso.