All posts tagged Machine Readable News

April 25, 2013

Filtering misinformation AP hacked twitter account; News analytics does work

 

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Recently a hacker took over the twitter account for the Associated Press (AP), creating momentary chaos across the world. The hacker posted a fake message claiming that US President Barack Obama was injured as a result of an explosion in the White House: AP Twitter

Immediately after the fake tweet went live, legacy news feed machines took up this message. This resulted in drastic nosedives of both the Dow Jones Industrial Average and the S&P 500 before quickly rebounding:  Machine in Control

“This is what happens if you don’t incorporated semantic cross referencing in your Machine Readable News (MRN) processing systems” says Bram Stalknecht, CEO of semantic analytics software vendor SemLab. ”High frequency traders relying on social media only, without enhanced noise filtering  and cross referencing, risk taking decisions based on wrong news”.

 

April 15, 2013

Latest customers using our technology

SEMLAB’s technology is used across a wide range of industries to assist companies and government organizations to efficiently implement flexible solutions to the knowledge management- and data processing problems they face. Every day and night, our platforms are quietly at work assisting banks, hospitals, law enforcement, media agencies and regulators to process and maximize their intelligence and other core assets.

Some of our latest testimonials coming from organizations we work with, include:

EUROPEAN COMMISSION, Brussels,  ICT,Competitiveness & Innovation, March 2013:

SEMLAB provides the most innovative solution in Language Technology in combination with high yield critical business processes, including financial services and risk management.

Nicolas Pratt, Machine Readable News-FOREX, April 2013:
As Machine Readable News gains further traction in FX, SEMLAB is extending its offerings.
The open platform from SEMLAB allows algorithmic traders from sell- and buy side to distinguish themselves when detecting news based information. Its natural language processing software combined with customizable event driven signals has become popular among the FX community, following the Equity Trading community.

According to Deutsche Boerse’s Market News International, Clint Rhea, COO,

In order to produce more tailored news feeds and signals, we entered into partnership with SEMLAB in order to disseminate more relevant content. Now we can tailor our events very quickly, adding value to our clients.

According to Bram Stalknecht, CEO SEMLAB, panelist at BATTLE OF THE QUANTS: Today’s algorithmic trading is not about macroeconomic market data nor sentiment signal from news providers. For the new generation algorithmic quant engineers, such as quants at WorldQuant, FirstNY, Graham Capital, Brevan Howard, Winton Capital, it’s more focused on creating proprietary decision models based on multiple sources, including news and social media.
Electronic execution is more commonplace accounting for over 60% of FX Trading while high frequency trading represents over 35% of FX trading volume, according to Aite Group statistics group.
This number will grow with SEMLAB offering complex event driven algo’s.

NASDAQ OMX, the US-based global exchange company, says Philip Adesso, Head of Analytics. There is a steadily growing interest in alpha generation within all asset classes. Mr. Adesso attributes the growth of machine readable news uptake to the evolution of FX algorithms which are now finally mirroring those in equity market. Algo’s based solely on pricing data are reaching a point where their value is exhausted. Dynamic algorithms that can act and react to market conditions like a human, need to consider many disparate prices of information. Machine readable news is arguably the most important piece, given that news precedes price, and machine readable news precedes scrolling news.