fswire is a fully compliant, social market data feed that delivers real-time and historical, market relevant information, by asset, to the financial markets community.
- Machine readable news
- Social data as market data
Delivery via web, mobile and API of real-time and historic data
A range of tools are provided to help you process and the understand the data in real-time
- A custom dashboard designed for you to monitor your investments
- Integrate data easily into your internal applications
- Receive data faster than you can via your existing clients
- Always be in touch with the mobile and tablet applications
Machine readable News
fswire's APIs are designed for you to automate the consumption and analysis of social data.
- Comprehensive API available for developers
- Register to begin testing immediately
- Extract data by asset, sector or custom searches
- Full 'financial firehose' available
- Get started quickly with our example code repositories
Compliant social market data feed and consumption
The world's most powerful and fully compliant social market data feed together with a range of tools to help you process and the understand the data
- A professional newswire for the next generation
- Filtered to extract on relevant financial content from social
- Built with compliance and IT security in mind
- Expand your coverage of an asset far beyond a $cashtag
The most real time news and links of financially relevant content available for automating the consumption and systematic analysis of news. Deliver every link and leading edge news analytics from Twitter, directly to your applications.
Add analytics data to
Provide your users with sentiment, message volume and trending data that is designed to be added to existing pricing charts. Data includes basic technical analysis such as simple moving averages that can also be added to charts.
Integrate social with your
fswire does the hard lifting of data consumption, aggregation, cleansing, sentiment and contextual analysis, leaving you with clean data to get serious with introducing social elements to your existing models.