Abstract: A metric, such as price, is estimated for an exchange-listed product based on public sentiment regarding the exchange-listed product. A system for estimating a metric for an exchange-listed product receives data from an external server. The data may be received from a social media website, and may represent user-generated data in natural language form. The system identifies a portion of the data and determines whether the portion represents a positive sentiment or a negative sentiment. The system estimates a metric for the exchange-listed product based on the sentiment represented by the data. The system may combine the metric based on sentiment with other metrics to create an averaged metric. The other metrics may be obtained using analyst consensus estimates as well as technical analyses of market information for the exchange-listed product.

Abstract: A metric, such as price, is estimated for an exchange-listed product based on public sentiment regarding the exchange-listed product. A system for estimating a metric for an exchange-listed product receives data from an external server. The data may be received from a social media website, and may represent user-generated data in natural language form. The system identifies a portion of the data and determines whether the portion represents a positive sentiment or a negative sentiment. The system estimates a metric for the exchange-listed product based on the sentiment represented by the data. The system may combine the metric based on sentiment with other metrics to create an averaged metric. The other metrics may be obtained using analyst consensus estimates as well as technical analyses of market information for the exchange-listed product.