Numerical Method Inc.'s flagship product - Algo Quant -
is a library of integrated trading research tools.
Algo Quant is a lot more than just an application of
backtesting. It is an actively developed and ever more
comprehensive library of reusable components that you
can use to build your own trading tools from research,
backtesting and data analysis to actual automatic
order execution. Algo Quant is particularly designed
for quantitative and algorithmic trading because it is
backed by a very powerful math library (SuanShu),
which allows you to very quickly prototype very
complicated quantitative strategies. Among other
things that Algo Quant does are in-sample calibration
and optimization, out-sample backtesting, performance
analysis and strategy generation.

Algo Quant is written 100% in Java. It runs on all
platforms that host a jvm. It is designed from anew
using modern software engineering principles. The
library contains many reusable components to help you
develop trading applications that are solidly object-

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