Inductive Solutions, Inc. - Quantitative Risk Management and Mathematical Modeling Software

Inductive Solutions, Inc.

380 Rector Place, Suite 4A, New York, New York 10280

Email Telephone: +1 (212)945.0630 Fax: +1 (212)945.0367

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Sample Course: An Introduction to Risk Management

Tools and Libraries

Applications require 32-bit Windows. Some applications require Microsoft Excel for the User Interface. Libraries require Microsoft Visual C++. View the License Terms and Conditions . Contact us about versions for other operating systems (such as Linux or Solaris), about site licenses, or about academic discounts.

Artificial Intelligence and Expert Systems
GenSheet Excel-based genetic algorithm toolkit for optimization
Genetic algorithms for optimizing binary, integer, real, and permutation valued functions that you can create on any Excel spreadsheet; includes commands for constrained nonlinear optimization, classifiers, scheduling, and minimum variance portfolio computation. Genetic algorithms are inspired by Darwinian evolution: over time, an initial population of answers improve and converge to a population of optimal answers.

NNetSheet Excel-based neural network toolkit
Neural network algorithms for supervised learning (perceptron, delta rule, generalized delta rule with back propagation) and unsupervised learning (Hamming, Fuzzy Hamming, and Euclidean clustering).

Induce-It Excel-based case-based reasoning system
Creates case-based reasoning expert systems from Microsoft Excel spreadsheet databases. Induce-It searches a case database based on similarity metrics. Case-based are adapted from the closest matching cases, ranked by case score, and displayed to users in a sorted list.

Statistics
RunRandom Quasi-random number and vector generation
A Random number generation tool and C/C++ library based on Quasi-Random (Low Discrepancy Sequences) and Pseudo-Random vector generation algorithms. Quasi-random numbers have better convergence properties in many simulation applications. RunRandom includes high dimensional (up to 5000 dimensions) generators for several low discerepancy sequences.

RunPCA Principal components analysis
Principal component analysis useful for reducing the complexity of high dimensional data: a high dimensional data set can be approximated with fewer dimensions. PCA is used in datamining and for pre-processing input data for neural networks and regression. RunPCA includes a PCA application and C/C++ library.

KernelNet Kernel regression
Non-parametric multivariate kernel regression (also known as General Regression Neural Networks) is used for pattern recognition and forecasting that is based on discovering the underlying probability density of the observed data. KernelNet includes a kernel regression application and C/C++ library. KernelNet uses a variation of Sliced Inverse Regression (SIR) for dimension reduction to improve efficiency.

Utilities
Excel-to-XML Translator
A utility that translates Excel spreadsheet databases to XML.

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Financial Applications (In Beta)
Risk Kit
Tools and and C/C++ libraries for Fixed-Income Risk Management and Trading. The Risk Kit integrates valuation models of securities, interest rate, exchange rate, credit risk and value at risk.

Server-Based Systems (In Beta)
Real-Time Analytics
RTA is a flexible computational architecture that computes, sorts, and broadcasts real-time standard deviations, correlations, and hundreds of other analytics for volatile portfolios. The RTA server is written in Java and supports multi-computer servers, authenticated access via smart cards, dynamic content rewriting for hand-held devices, XML, and automatic session management.

ShowTheBest.Com
ShowTheBest is a server-based system for website developers that transforms static tables into interactive forms. It can access data through server files and server databases. It has a fast and flexible scoring engine that is based on artificial intelligence concepts. By pressing a button, visitors to a site can quickly see the best (and worst) data records that match their requirements.