What you can do with StreamBase Reuters Edition
Large global investment banks, hedge funds, and asset management firms face enormous pressures to quickly understand and react to RMDS real-time market data.
Below are examples of the applications and benefits being realized by financial services firms across the globe for applications including:
Market Data Processing and Analytics
Transaction Cost Analysis and Compliance
Market Data Latency Monitoring, Algo Trading, Profit and Loss
Market Data Processing and Analytics
A $6 billion hedge fund found that their market data infrastructure supporting both conventional and quantitative trading was often failing to keep pace with the growing volume of market data. The inflexibility of the custom-coded infrastructure was affecting the productivity of the IT organization and the profitability of the firm’s trading operations. StreamBase applications have now replaced the previous infrastructure, with dramatically improved performance and reliability—and the ability to readily process incoming tick data at more than 40,000 messages per second. In addition, StreamBase allows the firm to send only the first arriving quotes to traders from across different feeds, monitor exchange rates and the dynamics of international markets, normalize data, run real-time analytics, and provide appropriately filtered data to traders and trading systems with near-zero latency. The results are reduced risks and costs of infrastructure failure, as well as greater agility and
improved profits for the business.
Transaction Cost Analysis and Compliance
Organizations managing the compliance process under an array of complex regulations are tasked with conducting continuous market surveillance and monitoring of pre-trade data to ensure that internal and regulatory trading polices are being followed. At the same time, with increased market volatility, firms also need to reduce “slippage", namely the difference between estimated transaction costs and actual transaction costs. When the amount of market data it needed to process and monitor doubled, a large asset management firm chose StreamBase to build a real-time pre-trade analysis application. StreamBase provided end-to-end connectivity and a scalable platform for monitoring large data volumes with near-zero latency, enabling the firm to evaluate broker performance with both real-time and historical data. After implementing their first StreamBase application, the firm gained tighter compliance and transparency, while also reducing brokerage fees and slippage by hundreds of thousands of dollars/month due to better execution strategies.
Market Data Latency Monitoring, Algo Trading, P&L
An $8 billion global hedge fund facing a variety of real-time challenges spanning market data, trading, risk management, and profit and loss analysis chose StreamBase as their real-time application development platform. After just a day of training, the market data group connected StreamBase to their ticker plant infrastructure and quickly was able to monitor and optimize the market data latency. The firm also improved its algorithmic trading operation by using StreamBase to apply real-time analytics to pricing 30,000 Nasdaq equity options in real-time—a problem which was previously impractical to solve. This system generated automatic buy/sell signals for the trading applications, providing the company with a significant competitive edge. In addition, the firm’s infrastructure for tracking P&L and risk in real-time across multiple disparate trading silos was unable to keep pace with the newer high frequency trading strategies, and the team deployed StreamBase within weeks as the foundation for a new real-time risk management and portfolio management system to reduce risk and increase trading profitability.