The pilot scheme, which will run for approximately two months, will enable the hedge fund to evaluate the predictive strength of Nous' historical raw data feed which it launched at FinovateEurope in February.

To financial institutions, a key attraction of Nous' crowd sourced data is that is generated without interpreting natural language responses. Instead, Nous takes the data generated by the actual price predictions made by thousands of daily players who 'trade' on its free-to-play Spark Profit fantasy trading platform in return for prize money. Since Spark Profit launched it has achieved 25,000 registered users in 194 separate countries and is growing quickly.

With such a large pool of price predictors playing in real time, Nous' data feeds give financial institutions the ability to understand - and even anticipate - market price changes at multiple time scales, including much shorter ones than are served by traditional analysts. No other data feed provider can match Nous' unique real-time measurement of market sentiment.

Justin Short, CEO of Nous, says:

"We had a great deal of commercial interest when we launched our Spark Data feeds at Finovate in February. Already one financial institutions has commissioned a pilot scheme, and another is also considering its own trial scheme using our raw historical data feed. We will be working closely with the client and look forward to seeing our predictions ultimately provide a boost to their fund returns and profitability. We are confident that our exclusive data can give institutions a measurable trading advantage."