subject: Why The Need To Integrate Low Latency Market Data Solutions In Excel? [print this page] Low latency market data solutions in Excel is ideal to any person who seeks to boost their competence and precision in the financial industry. Low latency together with Excels advantages allow traders and investors to process market updates and complete orders rapidly thus providing a higher competitive advantage.
A number of establishments are looking for the most capable IT infrastructure and applications in order to work well in algorithmic trading. Further decreasing the latency of market data solutions can amplify trading companies aptitude in delivering the immense amount of data as well as managing the current volatile market.
In order to handle financial transactions, financial establishments utilize low latency trading to connect with stock exchanges and Electronic Communication Networks. Trading venues describe it as the measurement of the hold up in processing between initiating the order and admitting the transmission.
The financial services that understand the importance of Excel in the management of data are immensely aware of the benefits of incorporating low latency market data solutions in Excel. Although there have been numerous trials to design platforms and applications that can grant more benefits, Excel remains to be the most in-demand application.
The Excel application is exploited to handle numerous tasks such as data exchange, data management, risk management as well as subscribing and publishing to real-time data. To make proper employment of Excels features or applications, financial services have made efforts to integrate Excel to real-time market data. Although prior methods have been effectual they each include some shortcomings:
1. A common tactic used in the past is the copying of market data from online sources into an Excel. This tactic can consume a lot of time especially when it necessitates that you visit a number of websites then manually publish their data into your spreadsheet.
2. A different procedure is by scraping data from multiple websites. It makes use of automation to grab data from various sources. Its setback is aside from legal impediments, this procedures success depends on the availability of the source.
3. The most preferred practice is acquiring the service of vendors that offers data and at the same time integrates this data into an Excel application. Although they can grant expediency as well as quality, these services usually ask for payments.
Presently, there are online services that provide low latency market data solutions in Excel. To financial services who aim to produce a low latency data distribution system, there are services that have already constructed a proficient data distribution protocol that incorporates data management systems and database silo storage facilities.
