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Algo Quant 0.0.3

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-oriented, unified and testable.

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Look at the free or trial alternatives and similar apps to Algo Quant software by the tags. It's possible also to find substitutes for the most popular titles in the Business & Management category.

| Quantitative Trading | Quantitative Trader | Quant Trading | High Frequency Trading | Backtesting System | Back Testing System | Algorithmic Trading | Algorithmic Trader | Algo Trading |

History updates (Complete changelogs since the listing on this site)

0.0.3 [05-07-11]

initial release

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Predicted future versions and notices:

The doDownload.com constantly monitors the update of all programs, including information from the Algo Quant 0.0.4 changelog file, however sometimes it can happen that data are not complete or are outdated.We assume that author continue's to develop 0.1.0 version with further advanced features, and soon you will be informed. Equally important 1.0.0 upgrades of the program we will continue to monitor. Full Algo Quant description has been compared with the overall software database and our algorithm has found the following applications (are showed below).