Use Technology While Trading
You are losing if you are late in trading. But to monitor fast markets in real time takes immediate processing of high volume data feeds. Although in the past there was no source of powerful computing, advanced technologies have equipped forex markets today. Real time analysis of low frequency data has always required speeds. The large data feeds are processed in low latency and then supported by historical database to allow strategies to make up for a loss. Forex needs to face this particular challenge since it depends on the logistical hurdles along with an over the counter type market. Stream Processing is the new solution being provided by the industry. Although previously it was only on stored data that queries and computations could be performed, because of stream processing, one can do the same on real time streaming data. High volume event streams require real time analytical applications which were traditionally coded using java & C++
Low Level tools or Custom Coding can eventually lead to high development costs. The way stream processing handles data has led to faster performance, easier programming as well as integrated access to historical data and real time data. A process called inbound processing is used by Stream Processing Engines. To read other foreign exchange articles make sure to visit .
There is a regular and consistent growth in the forex transaction volumes. Even as excessive liquidity results in greater depth of opportunity, the long trading hours, wide ranging participants and profit potential in dwindling markets, the opportunity window keeps on reducing due to increase in algorithmic trading tools and automation. These characteristics necessitate customizable real time applications that can be adapted or adjusted on the fly. The scene created hence is perfect for stream processing technology.
The trade processing, publishing, setting as well as the sourcing need to be optimized by forex institutes, this is crucial for the sell side. The key distinguisher here is price quality, a function of speed for the increased choices made available to the buyer as well as the high market volatility. For a pricing engine to accomplish data cleaning and price setting, it requires latency. Sub second latencies are desired for even with manual operations.
Cross market as well as arbitrage trading occurs by integrated access to the multiple sell side institutions and liquidity portals. Using algorithmic trading leads to extremely low latency requirements. Milliseconds is all it takes to make a difference. The inadequacies are being leveraged aggressively by the forex based hedge funds by arbitraging price differences from various liquidity providers. More information on the topic of foreign exchange is located at .
Even within real time queries, applications powered by stream processing can analyze historical data and trends. Electronic information sources such as news feeds shall be the sport of automated responses because of increased automation in fundamental analysis and risk taking models.
Stream processing is turning forex to look like exchange market in the near future. One shall find stream processing engines to be the key components in the next generation forex platforms simply because of the performance agility and flexibility advantages.
