http://www.smartquant.com/beta/quantdeveloper.doc

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SmartQuant is a financial software
company developing end-to-end algo
trading infrastructure for quantitative
hedge funds and institutional trading
groups.
OpenQuant, SmartQuant's current flagship product, is an Algorithmic and Automated
Trading System (ATS) Development Platform.
OpenQuant features an IDE (Integrated Development Environment) that provides quants
and traders with an industrial strength strategy research, development, debugging,
backtesting, simulation, optimization and automation.
QuantDesk is a complete end-to-end solution for a quant fund of any size. It includes
OpenQuant IDE, QuantRouter (feed replication, consolidation, aggregation,
transformation and smart order routing), QuantBase (real time feed capture and
centralized data management) and QuantTrader (production deployment engine for
automated trading strategies developed with OpenQuant) applications.
QuantController is a new server application which complements the QuantDesk to enable
an efficient management of SmartQuant's distributed trading architecture.
The main difference between the quantitative and the discretionary trading style is the
systematic nature of the quant approach. While discretionary traders are like artists,
quants tend to run a complex production process, and therefore need an industrialstrength infrastructure without which they cannot maintain the necessary degree of
systematic discipline. Unfortunately, being a start-up does not exempt one from this rule.
But fortunately, one does not really need to build the whole factory from the ground up.
Using the SmartQuant algo trading infrastructure allows the emerging managers to focus
on their primary objective, which is the development of investment strategies, while
benefiting from a reliable framework to implement and deploy them in the market.
Sure, we still spend a lot of time experimenting, trying and testing different strategies.
Having a good development environment does not necessarily allow you to skip that
step. The real advantage of a well designed framework is in cutting the time between
testing and production to a minimum, and in the scalable nature of the infrastructure,
which can grow with the firm from managing a small seed capital to truly institutional
levels. With a system like this, emerging managers can feel on a level playing field while
trading in the same market as much larger competitors, and can fully realize the inherent
advantages of being agile and adaptive.
Arthur M. Berd
Founder and CEO, General Quantitative, LLC
Copyright 1997-2014 SmartQuant Ltd info@smartquant.com
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