PredictWallStreet Combines Real-Time Trader Sentiment with Real-Time Quotes for More Informed Intraday Trading Insight

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Real-time quotes distributed by Interactive Data are paired with PredictWallStreet’s real-time trader sentiment for more informed insight.

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These patented prediction and forecasting technologies are designed to give investors a powerful edge in the market.

PredictWallStreet, the global online stock prediction community, today announced the pairing of real-time stock and index quotes with real-time trader sentiment based on daily polls to facilitate faster data delivery which can result in more powerful intraday trading insights.

Predictions from PredictWallStreet’s online community of thousands of traders and investors are aggregated and processed via proprietary collective intelligence algorithms to produce daily forecasts of stock and index movements.

“While these patented prediction and forecasting technologies are designed to give investors a powerful edge in the market, we continually strive to sharpen that edge,” notes Craig Kaplan, CEO. He adds that “while these forecasts, alone, can be valuable trading tools, combining them with real-time quotes distributed by Interactive Data will enable more insightful trading decisions throughout the day.”

“We are pleased to provide the real-time market data delivery component to PredictWallStreet to support important investment decisions for their subscribers,” said Bill Chambers, Vice President and General Manager for Wealth Solutions at Interactive Data.

About PredictWallStreet

PredictWallStreet is the leading global online stock prediction community. Its daily stock and index forecasts derived from processing thousands of investor predictions through patented algorithms produce valuable trading signals. Founded in 2005, PredictWallStreet has processed millions of investor predictions making it a reliable source of investor sentiment and daily trading insights.

About Interactive Data

Interactive Data designs, builds and operates comprehensive web-based solutions and applications that integrate global financial information and proprietary content.

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Michelle Samis
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