All posts in Finance

November 15, 2017

Crypto Data: First Blockchain project for Reference Data.

SemLab is currently entering a Shared Reference Data project with distributed ledger technology, in order to simplify reference data processes. Reference data is a headache for financial instrument services, where there is a lack of coordination, legacy data systems and inefficient processes. SemLab will make the current legacy obsolete and stop the need of having own record keeping with inevitable and costly inconsistencies that need to be reconciled. The project aim is to tackle these problems through the distributed ledger prototype simulate the collaborative management of reference data, as well as the use of that data for corporate bond issuance. The project is now open for participants in the financial service industry. Data suppliers, buy- and sell side participants will be part of the project, benefit in first user experience in crypto data.

Participants could interact with reference data after issuance, with any proposed changes requiring validation by the underwriter to ensure the ledger provided a single, immutable record of all data related to the bond. The partners allowing regulators and network participants to view in real time which parties on the ledger have created, issued and proposed amendments to the data record.

The project outcome is a shared reference data platform based on disturbed ledger technology. Results intend to demonstrate accurate and automated blockchain ref data and reduce reference data costs while improving latency and operational risks in back offices. Reference Data will be managed by one sophisticated agile system without the need of own data copies.

SemLab is combing Artificial Intelligence and Blockchain technology to cover over 15 million financial instruments in more than 200 markets, to improve risk management, maintain compliance with regulatory mandates and maximize operational efficiency. Artificial Intelligence, eg natural language processing, machine learning is used in text analytics in order to integrate reference content correctly.

For more participating in the first crypto-data blockchain project please contact sales@semlab.nl

April 29, 2014

SemLab news analytics now available with event sentiment from non-attributed minutes of ECB governing council meetings

In a speech in Amsterdam on Thursday, the ECB president Mario Draghi said he is convinced that publishing an account of the main arguments raised in the central bank’s monthly policy meetings “would be useful” and “will on balance serve to strengthen the governing council’s collegiate decision making and communication”.
Bram Stalknecht, CEO SemLab said publishing non-attributed minutes of council meetings will open up the ECB’s decision making process, as an addition to ECB the monthly held press conferences, avoiding unexpected decisions.
With SemLab council meetings sentiment analytics, customers can react faster on ECB decisions, including conventional measures, eg liquidity operations and longer-term fixed rate operations. This provides at-a-glance insight in macro economic moving events, in a computer readable format.The resulting minute events are ranked according to their implicit sentiment on scale of -5 (negative) to 5 (positive).
Mario Draghi has backed plans for the European Central Bank to publish non-attributed minutes of its governing council meetings, a proposal that would move the central bank closer to its peers in the UK, US and Japan.

May 13, 2013

SemLab Internship Opportunities: Now open for international candidates

Internship Opportunities: Now open for international candidates:

1- Econometrics & Operations Research

2- Quantitative Modeling for Algorithmic Trading & Testing

We are looking for candidates for our fast growing work in our knowledge engineering developments in algorithmic trading.

Ad1-

Background of candidate is in Econometrics & Operations Research at a M.A. level university.

The candidate will be joining our Research & Development team in The Netherlands, near Amsterdam Airport. The thesis project is focusing on news analytics for multi asset class investments. The candidates should have an understanding of the implications and effects from news events on investments and risks. Macro economics and fixed income as well as equities and derivatives are subjects of interest of the internship work.

Duration: 6 month. After a successful completion of the thesis it is expected to be part of the growing development team.

Ad2-

Background of the candidate is in Quantitative Modeling and/or Financial Mathematics (M.Sc./PhD-thesis)

The candidate will be joining our Research & Development team in The Netherlands, near Amsterdam Airport. The thesis project is focusing on news analytics and market data for equity asset class algorithmic trading.

Candidates should have an understanding of risk/(multi) asset valuation modeling and an emphasis on financial service applications.

We require academic experience in the field of financial data analysis and research, with strong analytic solving skills, including tools like Matlab/R and experience of working with statistics and data sets for testing your algorithm and benchmark against indices.

Communication in English is essential to both of the intern positions as well as a valid EU working permit.

If you are interested in any of these positions please send your C.V. to stalknecht@semlab.nl

April 25, 2013

Filtering misinformation AP hacked twitter account; News analytics does work

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 19, 2013

Reputation Brand Monitoring and Marketing

With Semlab’ proprietary semantic web software you can analyze millions of user forums, tumblr blogs, Twitter, Facebook and Google+ feeds, in order to measure in real-time the sentiment of your product and service opinions.

It has been a challenge imposed by processing social media because of use of incorrect language, irony, short or incomplete sentences, lack of contextual information, use of multiple languages and use of slang but Semlab succeeded to address all of these challenges with its semantic web solutions and other language processing technologies.

Semlab successfully can offer with the highest precision- and recall, of what the people think about your product and service.Don’t matter what language, slang they are using, you will capture the sentiment of the crowd immediately .User Case: Financial ServiceIn the domain of retail financial services, e.g. stock market investments, insurances, mortgages and consumer saving- & lending money, product- and service offering opinions will be processed real time.The combination of machine translation and automatic sentiment analysis has proven to be effective as semantic sentiment analysis appear to be relatively insensitive to grammatical translation errors. Especially in verbose and plentiful (highly redundant) social media messages even imperfect translations allow for reliable sentiment extraction. This was demonstrated in a precious project SemLab executed with the world most respected universities in this field where 81% translation accuracy was sufficient to drive adequate sentiment extraction from financial big data in social mediaThe resulting sentiment will be visualised in a GUI suitable for monitoring social media and to enable integration in social media outings.

The solution will be accessible through a web based service providing a clear visualization of the sentiment data and database.

The reputation brand monitoring and marketing solution is specially suitable for retail banks and insurance companies. These companies valued the content coming from the solution as consumer feed back of the findings of their financial products and how new financial product are received in the market.

This solution will address specifically the risk metric of financial service products from the eyes of consumers, the feed-back will allow the financial service companies to adjust the offerings accordingly and consequently improve reputation in the market.

A clear example of the current situation is the recent development on the Dutch mortgage market. The Dutch government has declared that the requirements for a mortgage are seriously increased. However to prevent total lock-up of the property market, the public is allowed to take a second loan. This second loan can be used to fulfil mortgage payments. Whereas this leads to opportunities for the mortgage suppliers, the general public is unable to assess the implications this can have for their overall cost. This is currently causing severe unrest in the Dutch mortgage market indicating the severely increased sensitivity of the financial services market for this – relatively transparent – measure.

Another example is the panic fuels Latvian run on Swedbank

http://www.bbc.co.uk/news/business-16142000

If you want to stay in control of the opinion: use our proprietary semantic web software.

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.

April 12, 2013

Irene Aldridge, speaker at NYU-Poly’s Big Data Finance Conference, May 3, NYC, Sponsor SEMLAB

Big Data is a fact, fueling a transformation of finance and the world of business in yet unpredictable ways. Scientific parsing of big data and Data Analytics are encountering challenges to process data, produce meaningful inferences and maintain the integrity and the safety of its use.

Irene Aldridge is Industry Assistant Professor, Dept. of Finance and Risk Engineering, Polytechnic Institute of New York University (NYU). At NYU, Aldridge specializes in cutting edge HFT and other data-driven finance research and teaches courses on HFT and algorithmic execution. Aldridge is the author of several books, including “High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems” (2nd edition just published by Wiley, 2013), translated into several languages.

Aldridge worked for various institutions on Wall Street and in Toronto, including Goldman Sachs and CIBC, and is a founder of ABLE Alpha Trading, LTD, a company specializing in high frequency trading technologies, including quantitative market-making. Her research has been profiled on BBC, CNBC, FOX Business, CBC, BNN, German ZDF, National Public Radio (NPR), Bloomberg Radio, as well as in the New York Times, the Wall Street Journal, Associated Press, Financial Times, Thomson/Reuters, Bloomberg LP, Forbes and other major business news outlets.

April 12, 2013

SemLab Sponsor of NYU-Poly’s Big Data Finance Conference, May 3, NYC

SEMLAB is sponsoring the Big Data Finance Workshop organized by the department of Finance and Risk Engineering of New York University, Polytechnic Institute on May 3, 2013, New York City

The target audience (invitation only) includes top academics in the field and practitioners in the high-frequency, quantitative and algorithmic industries, including customers like Goldman Sachs, ITG, QuantRisk Trading, Credit Suisse, JP MorganChase.

During the workshop SEMLAB will discuss advanced semantic analytics, specifically for quantitative- and algorithmic financial big data processing.

For more information: big data finance conference

October 5, 2012

Funds trading on sentiment. Does it work?

A recent survey (posted on Battle of the Quants, London, Sept. 10) indicated that 30% of USA hedge funds are employing some type of sentiment analysis in their trading models. Many multi-factor based quantitative hedge funds are adding a sentiment factor to reflect how markets are reacting more often to headlines, fear and greed vs. fundamentals. Other trading strategies are going further and relying purely on sentiment to trade the markets. SemLab News Analytics Solution VIEWERPRO providing sentiment output for many trading models and markets.

To investigate the alpha generation for your trading activities, we are offering evaluation projects. Please contact sales at semlab d ot nl and find out how best to leverage sentiment to drive returns

April 19, 2012

‘From Analytics to Alpha’

Click on the image for the original webpage, or use the links below for more information and to register.

View the webcast

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