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TradeForecaster LLC
300 W Hubbard Suite 202
Chicago, IL 60654
Phone: +1 (312) 644 6241
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Businesses, hospitals, military bases, trading floors, science labs and any number of other important modern facilities all need ways of collecting lots of information. Many of these facilities have, however become so good at collecting information that they are receiving more facts and numbers than any human being can possibly make sense of. In response to this overflow of data, a number of trend-setting organizations in different industries have figured out ways to mold the numbers into concrete visualizations.

“These new visual models are helping people in all sorts of industries understand vast amounts of data and use it to make effective decisions,” says Keith Fishe, CEO of TradeForecaster, an up-and-coming futures trading software company that puts high value on data visualization. Certainly, companies in different industries are using radically different models for visualization since the product that each company produces is different. But at the same time, the models used by companies that value visualization are uniformly clear and comprehensive.

One profession especially pressed by information overload is futures trading. The prices of different commodities are constantly changing, the quantity of quote data is constantly increasing. Considering the number of commodities and the number of changes in price for each commodity, traders must have some way of organizing and filtering all that data so they can buy and sell effectively.

TradeForecaster, a new trading software company, has developed a way of turning information overdose into a simple visual model. TradeForecaster's Strategy Catalog allows users to view and select from multiple trading strategies simultaneously. This feature gives the trader an expedient way of identifying which automated trading strategies meet their own criteria and instantly use them or even embellish them. When numerous algorithms are functioning at once, each interacting with the market at an alarming rate, the need for simplification techniques becomes greater.

     
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