Experienced traders recognize the consequences of global changes on Foreign Exchange (Forex/FX) markets, stock markets and futures markets. Factors such as for instance interest rate decisions, inflation, retail sales, unemployment, industrial productions, consumer confidence surveys, business sentiment surveys, trade balance and manufacturing surveys affect currency movement.  real raw news While traders could monitor these details manually using traditional news sources, profiting from automated or algorithmic trading utilizing low latency news feeds is an often more predictable and effective trading method that will increase profitability while reducing risk.

The faster a trader can receive economic news, analyze the info, make decisions, apply risk management models and execute trades, the more profitable they are able to become. Automated traders are usually more successful than manual traders since the automation will use a tested rules-based trading strategy that employs money management and risk management techniques. The strategy will process trends, analyze data and execute trades faster when compared to a human without emotion. To be able to take advantage of the low latency news feeds it is essential to have the right low latency news feed provider, have a proper trading strategy and the correct network infrastructure to guarantee the fastest possible latency to the headlines source to be able to beat your competitors on order entries and fills or execution.

How Do Low Latency News Feeds Work?

Low latency news feeds provide key economic data to sophisticated market participants for whom speed is a premier priority. While the remaining portion of the world receives economic news through aggregated news feeds, bureau services or mass media such as for instance news web sites, radio or television low latency news traders count on lightning fast delivery of key economic releases. These include jobs figures, inflation data, and manufacturing indexes, directly from the Bureau of Labor Statistics, Commerce Department, and the Treasury Press Room in a machine-readable feed that’s optimized for algorithmic traders.

One method of controlling the release of news can be an embargo. Following the embargo is lifted for news event, reporters enter the release data into electronic format which can be immediately distributed in a proprietary binary format. The information is sent over private networks to real raw news youtube  several distribution points near various large cities across the world. To be able to receive the headlines data as quickly that you can, it is essential that the trader use a valid low latency news provider that’s invested heavily in technology infrastructure. Embargoed data is requested by a source to not be published before a particular date and time or unless certain conditions have already been met. The media is given advanced notice to be able to prepare for the release.

News agencies also have reporters in sealed Government press rooms during a definite lock-up period. Lock-up data periods simply regulate the release of most news data so that each news outlet releases it simultaneously. This can be done in two ways: “Finger push” and “Switch Release” are used to regulate the release.

News feeds feature economic and corporate news that influence trading activity worldwide. Economic indicators are used to facilitate trading decisions. The news is fed into an algorithm that parses, consolidates, analyzes and makes trading recommendations based upon the news. The algorithms can filter the headlines, produce indicators and help traders make split-second decisions in order to avoid substantial losses.

Each country releases important economic news during certain times of the day. Advanced traders analyze and execute trades almost instantaneously once the announcement is made. Instantaneous analysis is created possible through automated trading with low latency news feed. Automated trading can play a part of a trader’s risk management and loss avoidance strategy. With automated trading, historical back tests and algorithms are utilized to choose optimal entry and exit points.