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The Importance Of The Correct Timing
For those who are late to join the trading, they are already losing. Fast markets can only be monitored if there is real time processing of the data feeds. There was a time when computing power necessary wasn't available to forex, but today it is. If one wishes to do a sophisticated analysis of low frequency data in real time, he would need a good deal of speed. Strategies can never keep up unless there is low latency processing of data feeds as well as historical databases. Since forex caters to an over the counter type of market, there are specific logistical hurdles that come with the package, adding to the challenges. Stream Processing is the new solution being provided by the industry. If it wasn't for stream processing, it would only have been stored data that could execute queries or compute information, and not real time streaming data. C++ & Java have been traditionally used to build real time analytical applications on high volume event streams.
Low Level tools or Custom Coding can eventually lead to high development costs. Stream processing on the other hand takes data differently, allowing for faster performance, simpler coding and integrated access to both real time as well as historical data. Stream processing engines utilize inbound processing. To read other foreign exchange articles make sure to visit money transfer.
The increase in forex transaction volumes is consistent. Wide variety of contestants, potential gains in falling markets, long trading hours even though excessive liquidity is leading to increased depth of opportunity, the opportunity window now shrinking due to mechanization and up and coming algorithmic trading tools. The necessity of the hour due to these characteristics is customizable real time applications that can be adapted or adjusted. The stream processing technology can perform best in this case.
For the sell side it is absolutely critical to consistently optimize the complete price delivery by the forex institutions. Price quality is a function of speed because of the choices available to the buyers as well as high market volatility, this maes it a key distinguisher. Latency is a very important consideration for both price setting and data cleaning, the two basic pricing engine tasks. Sub second latencies are wanted even with manual operations.
Cross market trading and arbitrage has been made possible by the increasing trend of integrated contact to the multiple sell side institutions and liquidity portals. Algorithmic trading turns the size of latency requirements further smaller. Though it may not seem a lot but a few milliseconds can make the difference. Specifically, Forex based hedge funds are aggressively leveraging the low efficiencies, this is being achieved by arbitraging price differences from various liquidity providers. More information on the topic of foreign exchange is located at nz exchange rates.
Applications empowered by stream processing have the capability to analyze historical data and trends within real time queries time frame. Various electronic sources shall generate an automatic response in the risk taking models which shall enable fundamental analysis due to increased automation.
The forex and exchange market shall soon share a lot in common because of their common foundation of stream processing. The advantages of stream processing engines, such as performance, flexibility and agility shall lead them to be a key component in the next generation forex platforms.
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