Pioneers in fractal exploration of financial markets

Quant Trade is a trading technology and commodity pool operator (CPO) founded in the heart of the Chicago financial district. We have developed trading solutions for clients that vary from a billion dollar energy company to retail commodity traders. Quant Trade has developed low latency co-location services for brokerage firms, high frequency statistical arbitrage models for an offshore hedge fund, numerous trading platforms, and a variety of non-linear trading indicators. Recently, Quant Trade has finished Chaos Cruncher, our most advanced automatic trading system to date. We are making it available to our clients as a system service. Soon it will be the center piece of a commodity pool that will also become available to investors. Sign up for our newsletter to stay informed of new developments.

Trading Technology Experts

Experience in major trading platforms

Trading Technology Experts

TradeStation, Metastock, MetaTrader, NinjaTrader, MultiCharts

Commodity Pool Operator

Superior trading performance

Commodity Pool Operator

Chaos Cruncher fully automated trading through major brokerages

Bloomberg Developers

Custom studies for Bloomberg Professional

Bloomberg Developers

Vast experience in development of custom studies for Bloomberg Professional

The Chaos Cruncher Program is a proprietary trading strategy that is systematic and technical in nature. The program borrows from the modern science of Chaos theory, Complexity theory, Fractals and Bi-variate statistics. These modern theories have been refined into a trading methodology tempered by real world trading experience in electronic markets. The System is completely statistical and quantitative. The parameters are preset before trading and the orders are automatically executed. This process isolates the program from the emotional whims of traders. Chaos Cruncher can be applied to almost any electronic market that has liquidity and depth of market. Markets can be added or deleted at the discretion of the trader.

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