GAIN Quant DB

Accelerate the development time and performance of quantitative investment models

GAIN Quant DB is a highly configurable aggregation database designed to accelerate the development of models and testing of strategies in MatLab, R or other analytics platform. The system helps speed up research processes by automating tedious data preparation tasks. GAIN Quant DB aggregates and cross-references data from multiple sources (including Thomson Reuters QA, Bloomberg and stock exchanges) and creates reports that are seamlessly integrated into numerical computing environments, such as MATLAB.

Industrializing the research process

GAIN Quant DB helps asset managers to industrialize the data preparation processes in order to expedite the testing of new models and new investment strategies, ultimately enabling them to be more efficient in launching new funds.

GAIN Quant DB provides quant teams with a shared knowledgebase, while making the research process completely auditable. As a result, researchers get the data they need more quickly, allowing them to develop more accurate investment strategies in shorter timeframes.

The problems with manual data preparation

Effective data preparation is crucial to ensuring the accuracy of the data underlies new quantitative models before new funds are launched.

However, at several firms, this data preparation process is manually-intensive, time-consuming and error-prone, as each quant develops their own tools, scripts, databases, and spreadsheets. Not only is this approach highly inefficient, it also leaves the firm open to unacceptable levels of operational and reputational risk.

The key to solving this issue is to automate the data aggregation process.

Central Aggregation Database

GAIN Quant DB is a central data repository that automatically collects and cross-references data from multiple sources (including Thomson Reuters Quantitative Analytics, Thomson Reuters DataStream, Worldscope, IBES, FTSE, MSCI), eliminating problems associated with staff developing their own scripts.

Snapshots of market data can be requested on demand by end users or generated automatically. GAIN Quant DB also supports “point in time” functionality, reducing the risk of “look-ahead-bias ”. The product provides quants staff with accurate time series data, which can be fully traced back.

An industry-proven business application

The next generation of data management practice needs ready-to-use business user applications that puts less burden on IT.

GAIN Quant DB is a workflow-oriented application that overarches existing architectures and allows data management to be solved in a proven, timely fashion allowing for growth and adaptation in a complex investment management environment.

Driven by an active community of users and staff specialists, the product stays in front of emerging industry requirements and provides comprehensive solutions, tools and guidance.

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Rich feature set

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Reduced risk

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Time and cost savings

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Better business

Product Brochure

Find out more about GAIN Quant DB

GAIN Quant DB is a highly configurable aggregation database designed to accelerate the development of models and testing of strategies in MatLab, R or other analytics platform.

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PRESS RELEASE | AIM Software Integrates MATLAB® with GAIN EDM for more effective models

December 22nd, 2016|0 Comments

PRESS RELEASE | AIM Software Integrates MATLAB® with GAIN EDM for more effective models New connector enables enterprises to access quality controlled data of GAIN directly into MATLAB® VIENNA, Austria, December 22nd, 2016 – AIM Software, the leading provider of Enterprise Data Management (EDM) solutions for the global financial