Big Data in Quantitative Trading Research and Algo Development

Big Data is data sets that are complex data sets, typically with large volume. Examples of Big Data in FINTECH include historical market data, news service information, tweets, and sentiment data.  Challenges in using big data include capture, storage, security, analysis, and visualization. Data scientists use Big Data (including alternative data) for predictive analytics. CloudQuant’s quantitative crowd researchers use historical market data, news data, and sentiment data to develop predictive trading strategies that are tested using a complex, proprietary backtesting trade simulator.


Alternative Data Portfolio Returns on Intraday Hold Trading Strategy

The Value in Machine Learning Alternative Data for Investment Managers

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A long-short portfolio outperforms the equal-weight S&P 500 ETF by 37.9%/year (after transaction costs) using Precision Alpha Alternative Data. Over 91.5% of the total return is pure alpha.
Morgan Slade, Python Data Scientist and Trader

CloudQuant CEO John Morgan Slade presenting at THE TRADING SHOW – CHICAGO 2019

CloudQuant CEO John Morgan Slade will be taking part in THE TRADING SHOW – CHICAGO 2019 on Wednesday 8th May 2019. At 13:20 (Central) he will be partaking in a Panel to discuss “Deep Neural Networks – how supervised do deep learning machines need to be?” At 14:00 (Central) He will be moderating a discussion on “AI and Machine Learning – how markets will move forward.” See the official website for more information.
backtest chart

CloudQuant Partners with RavenPack to Expand Use of Alternative Data

FOR IMMEDIATE RELEASE: CloudQuant Partners with RavenPack to Expand Use of Alternative Data Chicago, Illinois, USA, November 20, 2018 – CloudQuant LLC today announced the addition of RavenPack analytics within their trading strategy incubator. Crowd researchers can now use RavenPack historical data to discover tradable alpha signals on CloudQuant’s online Python and JupyterLab-based tools. RavenPack is a leading provider of big data analytics for financial services that enables hedge funds, banks and asset managers to query and visualize unstructured data including insights from thousands of news and social media sources. “We are thrilled to include RavenPack analytics in our ecosystem as they have become a vital source of alpha for quantitative investors,” said Morgan Slade, CEO of CloudQuant. “Our community is already finding promising signals that originate from the very popular RavenPack datasets.” Crowd-based research tools are increasing in popularity along with the rapidly growing data science field. RavenPack and Cloudquant are finding that crowd researchers desire access to Wall Street professional-quality tools and datasets, which enable them to thrive in the professional investment field. “We were impressed with how CloudQuant provides anyone with Python-coding skills the opportunity to mine our datasets for alpha signals and earn compensation for their contributions,” said Amando Gonzalez, CEO of RavenPack.  “We strongly support initiatives designed to give data scientists the tools that liberate ideas to improve financial modeling.”   About CloudQuant CloudQuant is the cloud-based trading strategy incubator. Quantitative analysts around the world create and test trading strategies leveraging free institutional grade technology. By providing the capital, technology, and trading acumen to develop and utilize trading strategies, CloudQuant offers a mutually beneficial profit sharing agreement enabling both parties to profit. CloudQuant LLC, who officially launched in 2017, is a wholly owned subsidiary of Kershner Trading Group LLC. Twitter: @CloudQuant About RavenPack RavenPack is the leading provider of big data analytics for the financial services industry.  Financial professionals rely on RavenPack for its speed and accuracy in analyzing large analyzing large amounts of unstructured content.  The company’s products allow clients to enhance returns, reduce risk and increase efficiency by systematically incorporating the effects of public information in their models or workflows. Twitter: @RavenPack   For Media Inquiries Please Contact: Jessica Titlebaum Darmoni + 1 312 358 3963 – END –

Alternative Data News. 27, September 2018

Finding sources and uses for alternative data can be difficult. At CloudQuant we regularly read and search the internet for new sources of data that can be used in our mission to find alpha signals and build quantitative trading strategies. We recognize that we are technology and data junkies so we wrote our own crawler that specifically seeks out web pages, posts, and news articles that give us a snapshot of what is going on in the world of Alt Data. The following is a collection of articles that we think you will find interesting from the past week.

Social Market Analytics Sentiment Data for Forex Trading

Social Market Analytics (SMA) provides real-time sentiment data for equities (North America & LSE), commodities, foreign exchange, Crypto Currencies and ETF’s. In this blog I am going to explore a trading system using the SMA Twitter based sentiment data to trade a basket of: EURUSD, EURGBP, GBPJPY, GBPUSD ,USDCAD ,USDCHF ,USDJPY. We will explore two straight forward trading systems: Forex Sentiment RSI: Daily Long/Short Strategy SMA S-Score … 2018-09-20 00:00:00 Read the full story. CloudQuant Thoughts: We like SMA. Recently we used SMA to improve a breakout strategy. The following chart shows the effect that adding SMA data to a breakout trading strategy. It took a losing trading strategy and made it better. To see the source code for this trading strategy with SMA use this link.
SMA AltData on Breakout Trading Strategy

The effect of adding SMA data to a trading strategy

Senator Warns of Fintech Privacy Risks

The Senate Banking Committee continued to examine Tuesday how to handle the regulation of fintech, as concerns persist about data aggregation and consumers’ privacy. “I think it’s critical that the government move methodically on a regulatory approach to fintech so we encourage productive innovation but we don’t expose consumers to a lot of unnecessary risks,” Sen. Elizabeth Warren, D-Mass., said duri… 2018-09-20 00:00:00 Read the full story.

The New Legal And Ethical Challenges Of Big Data

As data technology advances, the ethical challenges of big data increase and raise questions that society has never faced before. Data is now one of our world’s most precious resources, and over the last few years, businesses have been learning how to use it to become more successful and profitable. Big data, a term that is used to refer to the use of analyzing large datasets to provide useful insights, isn’t just available to huge corporations with big budgets. Companies of all sizes are getting in on the action to improve their marketing, cut costs, and become more efficient. As a result, ethical challenges of big data have begun to surface. Big data is useful in nearly any industry, but it has huge potential in the healthcare field to trim waste and improve the p… 2018-09-26 20:44:30+00:00 Read the full story. CloudQuant Thoughts: Both the Senator’s concern on FINTECH data above and this article on Legal and Ethical challenges of Big Data create some of the same thoughts.  The growth of Big Data has created the Mosaic Effect. (Google it, it is a thing.) This effect is simply the idea that as more data becomes accessible and machine-readable, there is the threat that disparate threads can be pieced together in a way that yields information that is supposed to be private.

What’s the Secret to Success as a Data Scientist?

The data science field is growing at a rapid pace, which is creating a huge need for additional data scientists to join the industry. But with so much competition, the question is, how do you stand out and become successful? Understanding the Role of a Data Scientist The term gets thrown out a lot, but what exactly is a data scientist? What do they do on a daily basis, and why are they in such high demand? In essence, data scientists are … 2018-09-16 14:58:43+00:00 Read the full story. CloudQuant Thoughts: Even if you aren’t a full-time data scientists, you should be familiar with the analytical skills and tools they utilize to give insight into your business, and your areas of interest. After all, this posting is generated using those same tools.

Is The Data Ops Workbench A Thing?

Data ops, data engineering, data development — oh my! From new roles and teams to new skills and processes, the hot topic on everyone’s mind is data ops. I started to notice the data ops emergence back in 2015 as companies began to look at Agile development to spin up new data capabilities rapidly. Later, as data preparation entered the market, ETL developers were gravitating to these tools for quick data loading with transparency into newly for… 2018-09-19 13:29:35+00:00 Read the full story. CloudQuant Thoughts: We love this because it falls in line with everything we are doing. In short, you can sum this up by saying “Innovate or Die.”  

Alternative Data Group Launches New API Platform for Wrangling Alternative Data • Integrity Research

Alternative Data Group (ADG), a firm specializing in alternative investment data, launched the ADG API – a programmatic platform that gives clients an ability to automatically process raw alternative datasets, making it easier for institutional investors and vendors to safely extract structured company information and ensure a dataset free of Personally Identifiable Information (PII). With the launch of the ADG … 2018-09-26 07:53:15+00:00 Read the full story. CloudQuant Thoughts: We have our own API too. We call it Data Liberator.  

Turkish Volatility Showed Value of Alt Data

In the middle of the summer vacation on Friday 10 August, Turkey’s lira plunged by one-fifth, leading to fears that the country’s crisis would spread to other markets. The US had suddenly imposed tariffs on Turkish steel in protest against the imprisonment of an American pastor, which added to investors’ existing concerns about President Tayyip Erdoğan taking increasing control over the Turkish economy. The steep jump in volatility highlighted … 2018-09-25 19:12:02+00:00 Read the full story. CloudQuant Thoughts: Alternative data is being used both pre-trade and post-trade. Lot’s of good thoughts there!  

Below the Fold

Announcement: Sector-Focused Alternative Data Events Covering Travel and Autos’s Briefing events provide investors with a sector-focused discussion of fundamental trends and insights from alternative data. Presenting data providers have been hand-picked and evaluated based on their unique insights and perspectives. These events do not include sales pitches or high-level dataset overviews. Institutional Investors: Registration is free, however space is limited – Reserve your Seat. Data Providers: Presentation slots are largely filled, however you can request to present at the event here…. 2018-09-20 14:46:01+00:00 Read the full story.

Top Australian fintech hub Stone & Chalk is getting a new chair in a major board overhaul

Miguel Medina/AFP/Getty Images Stone & Chalk is getting a new chair and almost an entirely refreshed board. The fintech innovation hub says it is part of a transition from start-up to scale-up mode. Stone & Chalk start-ups and scale-ups have secured over $255 million of direct equity investment in less than three years. Stone & Chalk, Australia’s fintech startup hub, has had a major overhaul of its leadership as it moves out of start-up mode … 2018-09-26 08:44:47+10:00 Read the full story.

Google Updates, Clarifies Its Location Tracking Policy – StockNewsTimes

Following an investigation from the Associated Press, Google has changed some information on one of their help pages which had not properly described how its “Location History” setting operates. The update clarifies that the operating system does still, in fact, track location even when users turn the setting off. For example, the Associated Press investigation learned that even when you turn Location History off, Google will continue to store y… 2018-09-13 00:00:00 Read the full story. 0.8058326937835764

Doctors Look To Data To Increase Patient Engagement

For many reasons, several of which we’ll discuss here, a patient’s full understanding of, and engagement with, their health care experiences are vital for a positive outcome. And today, we have more options than ever for achieving higher levels of interest, patient engagement, and “buy-in” from health care customers. These include data-rich wearables, telemedicine for housebound patients and electronic health records that follow us around as we s… 2018-09-24 22:14:23+00:00 Read the full story. 0.7566706491437674

AI And Augmented Reality Merge For New Business Solutions

Big data continues to shape the corporate universe in unexpected ways, especially when AI and augmented reality come into play. A few years ago, most experts believed that big data would only be used to handle a few functions: Using new data models to enhance marketing Improving supply-chain logistics by collecting data on various points in the supply chain Improving security by using data to improve threat detection models A number of new ap… 2018-09-14 18:46:10+00:00 Read the full story. 0.6674653431456443

4 Ways Wellness Can Cost Annuity Clients a Fortune

Here’s a look at how controlling 4 major types of health risk can add (expensive) years to an annuity buyer’s life… 3. (tie) Controlling High Blood Pressure: 3 extra years of life 3. (tie) Controlling Obesity: 3 extra years of life 2. Controlling High Cholesterol: 5 extra years of life 1. Ending Tobacco Use: 6 extra years of life Advertisement (Related: What You Think About the Value of Life Is All Wrong) Economists have been paying more atte… 2018-09-25 00:00:00 Read the full story. 0.6318006318006317

Life and P&C Actuary Groups May Merge

(Image: Thinkstock) (Related: James Glickman to Lead Society of Actuaries) Two groups that serve actuaries may merge. The boards of the Society of Actuaries (SOA) and the Casualty Actuary Society (CAS) announced today that they are looking into the possibility of combining. The boards could vote on a combination proposal as early as mid-November, and they could put the proposal to a vote in early 2019. The combination proposal would address … 2018-09-26 00:00:00 Read the full story. 0.31545741324921134    
This news clip post is produced algorithmically based upon CloudQuant’s list of sites and focus items we find interesting. If you would like to add your blog or website to our search crawler, please email We welcome all contributors. This news clip and any CloudQuant comment is for information and illustrative purposes only. It is not, and should not be regarded as “investment advice” or as a “recommendation” regarding a course of action. This information is provided with the understanding that CloudQuant is not acting in a fiduciary or advisory capacity under any contract with you, or any applicable law or regulation. You are responsible to make your own independent decision with respect to any course of action based on the content of this post.
John "Morgan" Slade

RavenPack – The State of Machine Intelligence in Capital Markets

CloudQuant CEO Morgan Slade participated in a Discussion on the State of Machine Intelligence in Capital Markets at the RavenPack Symposium in London in April 2018 – Video below. The financial sector is making a massive shift towards machine intelligence in capital markets. This panel shares their experience in using data science and domain expertise in understanding data context. With attendance exceeding 250 buy-side professionals at the London Big Data and Machine Learning Revolution in April 2018, RavenPack Research Symposium is the “must attend event” for quantitative investors and financial professionals that are serious about Big Data.  
Trevor Trinkino Quantitative Trader

Machine Learning FXCM Webinar with Trevor Trinkino of CloudQuant – Part 2/3

On May 15th Trevor Trinkino presented part two of a three-part Machine Learning webinar with FXCM. Part one is here.

Part 2  – Preprocess data for Random Forest. PnL and prediciton improvements…

In part two Trevor goes over how to clean and pre-process data from CloudQuant to use in a Random Forest Classifier. He then looks at the prediction and PnL improvements seen from utilizing this classifier as well as adjusting the hyper-parameters of the model. Files mentioned in the video are available from our Google Drive below.. Ipython Notebook Trades.csv FilteredClfFeatsBF100_50.csv MLClassData.csv    
Sarah Leonard, MScA, University of Chicago

Interview with Sarah Leonard, STEM Woman and Data Scientist

“It’s exciting to see the growing number of women in Science, Technology, Engineering and Math (STEM); my advice is to not be afraid to jump in headfirst,” said Sarah Leonard, graduate student at the University of Chicago. “It is a difficult field but also lucrative and rapidly growing.” Leonard sat down with CloudQuant to talk about her experiences in data science, her insight as a female in a male dominated world, and the intensive process it took to find her dream job.
Morgan Slade to Speak at RavenPack in London April 24, 2018

The RavenPack Big Data & Machine Learning Revolution Comes to London

April 24, 2018, Top finance professionals who will share their latest research and experience with Ravenpack big data and machine learning in London.
Business charts

Industry News: Machine Learning and Artificial Intelligence for January 15, 2018

 MiFID II Data To Drive Bond Market Structure

…ems and FIX protocols, the standard messaging format used in financial markets. There are examples of innovation already happening in bond markets. Dutch bank ING is expanding the use of Katana, an artificial intelligence tool, across its fixed income trading division after finding that it led to significant performance improvements. Katana was tested by the emerging markets credit desk in London last year and allowed faster pricing decisions for 90% of trades. Traders were able to offer the best price four times more frequently as an algorithm can provide forward looking predictions of the price that will win a r… 2018-01-11 12:19:36+00:00 CloudQuant Thoughts: The quote in the article that says “‘Budgets are stifled for innovation,…True innovation will occur, but this is likely to be two to four years down the road.’” doesn’t reflect the heart of the innovator. While budgets may be tight we believe that innovators always find a way. Look for innovation to happen outside of mainstream information technology. Almost everyone trading today has some technology skills. It may be as simple as someone with an Excel spreadsheet macro, or a data scientists with a Jupyter Notebook. Today it is easy to use Python or Excel to directly connect to FIX Protocol and other websites. These skills will lead to innovation in MiFID II data processing and won’t be officially budgeted until someone is already finding a trading or processing edge. Once word of that leaks out then you will see budgets being freed up for innovation.    

Nvidia’s Jensen Huang goes off script with CES 2018 Q&A

…2018 with his signature black leather jacket. He unveiled the company’s announcements at a press event on Sunday at the big tech trade show in Las Vegas. They included the 9-billion transistor Xavier artificial intelligence chip, the beta launch of GeForce Now cloud gaming on Windows, and support for large format displays known as BGFD. Then he returned for a Q&A with the press on Thursday, where he went into an unscripted monologue on what the company is doing in both artificial intelligence and gaming. When he finally stopped talking, the press got a chance to ask him some questions. Here’s an edited transcript … 2018-01-12 00:00:00 CloudQuant Thoughts: Thought leaders, like Nvidia, are regular subjects of our AI and Machine Learning pages. We love the mention of architecture, chip design, and software. Even though those are primarily aimed at gaming systems one must ask what else can it be used for? We have already seen GPU used in algorithmic trading over the past decade.

 3 reasons chatbots didn’t meet industry expectations in 2017

…us to my last point. Small businesses have not fully embraced chatbots because they see the technology as complex, difficult to implement, and nearly impossible to measure. Throwing around names like artificial intelligence, machine learning, and natural language processing scares the heck out of the average small business owner. For example, a restaurant owner may already have a hefty following on their establishment’s Facebook page and a couple of successful ad campaigns under their belt but would like to better serve prospects and customers asking questions via Messenger. If they have to spend big bucks to imple… 2018-01-13 00:00:00 CloudQuant Thoughts: We expect to see more chatbots helping out in the future, even if they didn’t have the huge splash everyone expected in 2017.

 FIS Group 1Q18 Outlook: Goldilocks Need Not Fear The Bear In 2018

…ut. President Xi’s goal of “leaping forward” to become a global “new economy” leader in 10 years will result in heavy state sponsored subsidies and protections in renewable energy, biotech, robotics, artificial intelligence and big data. On a sectoral basis, China’s health care, tech, and consumer staples sectors (and arguably energy) all outperformed China’s other sectors in the wake of the party congress, as one would expect of a reinvigorated reform agenda. These sectors should continue to outperform. In our inaugural “Foresights” for 2018, we explore the sustainability of the Chinese tech stock rally. LATE CYCLE… 2018-01-14 10:55:00-05:00 CloudQuant Thoughts: FIS is a vendor very active in the FINTECH space. They make systems for the front office, middle office, and back office.

Reading robots beat humans in Stanford test

…The robots are coming, and they can read. Artificial intelligence programs built by Alibaba (BABA) and Microsoft (MSFT) have beaten humans on a Stanford University reading comprehension test. “This is the first time that a machine has outperformed humans on such a test,” Alibaba said in a statement Monday. The test was devised by artificial intelligence experts at Stanford to measure computers’ growing reading abilities. Alibaba’s software was the first to be… 2018-01-15 00:00:00 CloudQuant Thoughts: No surprise there. Some of the material we read regularly sounds like it was already written by robots for robots.  

Deep Learning Advances are Both Exciting and Worrisome – Interview with Data Scientist Gregory Piatetsky-Shapiro

…iew, Gregory Piatetsky-Shapiro of KDnuggets (@KDnuggets) discusses the how today’s advances in deep learning are cause for excitement and concern. Tracking Big Data’s Evolution in Data Science, AI & Machine Learning Machines have always fascinated Piatetsky-Shapiro – ever since he was a kid reading stories about robots by Isaac Asimov and other sci-fi authors. He discovered his love for programming while studying computer science at Technion, where he spent a few weeks in the summer of his first year programming a computer (in APL) to play battleships. “I was soundly defeated by my own program,” he says. “… 2018-01-08 07:30:54-05:00

Having A Heart Attack? This AI Helps Emergency Dispatchers Find Out

…ow have help from AI. If you call for an ambulance, an artificially intelligent assistant called Corti will be on the line, using speech recognition software to transcribe the conversation, and using machine learning to analyze the words and other clues in the background that point to a heart attack diagnosis. The dispatcher gets alerts from the bot in real time. It’s a situation where dispatchers typically have to rely only on their own knowledge. “If you and I have a problem, we end up Googling or asking people,” says Andreas Cleve, CEO of the startup that created the technology. “These people are handling… 2018-01-11 16:00:23 CloudQuant Thoughts: Don’t rely on AI. Get trained in CPR. Train your children too. Encourage your employer to buy an AED device to help.
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence for January 8, 2018

Vanguard CEO’s Biggest Challenge Is Dealing With Success

…vice. Its website has long been clunky and hard to navigate, one of the biggest complaints Wiener said he hears. And the firm offers little in the way of advice when more and more upstarts are using artificial intelligence to manage customers’ accounts cheaper. (Of course, many of those robo-advisers end up putting their clients in Vanguard funds.) Vanguard faithful have been willing to make the trade-off between low costs and poor service, but Wiener thinks it could be a hurdle as the company draws in more and more investors. That’s especially true with ETFs, which can be bought easily in any online brokerage acco… 2018-01-04 10:10:30-05:00 CloudQuant Thoughts: The article mentions Vanguard’s smart-beta ETF which implements both quantitative metrics and index investing. We see the value in quantitative metrics for trading as many crowd researchers are helping us to trade and profiting from their research-driven algorithms.

Automation Trends To Increase As Robots Intergrate Into Society: Bernstein

…ected to hit the 40% level. This is coming as a continued upgrade in general manufacturing is occurring. Underneath it all lies the adoption of computer-based thinking models. In 2017 Huang watched artificial intelligence and deep learning impact the world of industrial automation. The next step in the trend is to expand the scope of automation, particularly with regards to broader robot adoption, vision recognition and interconnected devices communicating with one another. Automation trends and stocks to watch For investors, this boils down to a few names: Keyence, Cognex, and Fanuc. These stocks are positioned… 2018-01-05 15:20:59-05:00 CloudQuant Thoughts: 80% of trading is being handled by robots? We know that 100% of trades are touched by automation these days. If it isn’t in the actual order processing then it is in the clearing process, the risk process, or the account management process. When someone using a retail broker’s website sees their portfolio there is added information that is presented. Almost all of that is touched by automation with some form of a “robot” or AI process.

Back to the Future: 2018 Big Data and Data Science Prognostications

…izations not to embrace (see Figure 1). The unusualness of open source project naming (Linux, Hadoop, Ubuntu, Pidgin, GNU) might be able to exploit names from this movie. I can already imagine a new Machine Learning framework called “Klaatu barada nikto” popping on the 2018 landscape. By the way, have some fun creating your own open source project names: This site will probably save developers months of work coming up with open source project names that have nothing to do with the functionality of their projects. Forbidden Planet (1956) A starship crew goes t… 2018-01-20 00:00:00 CloudQuant Thoughts: This article is very worthwhile reading. It compares 1950 Science Fiction movies to 2018. We love it. But most of all we love the conclusions and thoughts put together here.

MoneyLion Secures $42 Million Investment to Accelerate Growth

…, MoneyLion’s thesis has been centered on the re-bundling consumer financial services on a single digital platform to reduce friction and costs for our users. Advancements in technologies like AI and machine learning enable us to anticipate needs and deliver personalized financial products that were previously only offered to the wealthy. We’re excited to be an invaluable financial companion for our users and empower them to tackle their biggest financial challenges,” said Choubey…. 2018-01-07 12:05:45-05:00 CloudQuant Thoughts: Innovation plus client need plus clients capable is a great formula for success.

Damn Girl, You’ve Got a High AQ – Hacker Noon

…ce then, they’ve profited on everything from PCs to scanning tunneling microscopes to software and management consulting. While at IBM Watson in 2014, I worked with a partner who was one of IBM’s top Machine Learning Experts. Fast forward to 2017, and his LinkedIn Profile now reads “Bitcoin & Digital Currency Industry Expert”. IBM changes course quickly. Always in the direction of the money. Contrast IBM’s trajectory with that of Kodak, and it’s clear that one expresses more organizational AQ than the other. Starting in the 1990’s, Kodak began a steep decline in the face of mobile phone technology and eventu… 2018-01-05 17:16:43.396000+00:00—-3a8144eabfe3—4 CloudQuant Thoughts: Your adaptability quotient (AQ), which measures your ability to handle changes including technology, will be essential to your success going forward.

6 powerful ways Artificial Intelligence will benefit eCommerce businesses

…AI is everywhere now! A study shows by the year 2020, 85% of the enterprises will be overtaken by Artificial Intelligence. With its effective methods AI is finding a drill in every industry at its best. Now the question rises as to what effect will AI have in the eCommerce sector? Well, many of us think of AI as plastic and impersonal. However, nothing could be further from the truth. AI is actually making it possible to personalize the eCommerce shopping experience in an extremely detailed manner. For some of us, t… 2018-01-04 12:56:50+00:00 CloudQuant Comments: Many articles on AI taking over some business focus on losing jobs, or some other form of negativity. We have seen them include apocalyptic comparisons.  CloudQuant looks at the possibility of improved productivity. As a successful FINECH startup we have directly benefited from applying AI to our business. We are able to accelerate faster and deliver new tools, data sets, and opportunities by evaluating every task for our ability to automate it. Even this weekly news clipping is part of the automation process.  Don’t fear AI. Use it as a competitive springboard.  Resisting change (having a low adaptability quotient) isn’t the path to success.  

AMD unveils speedy processors and graphics chips for 2018

…ocessing units (GPUs). In graphics, AMD announced the expansion of the “Vega” family with Radeon Vega Mobile and that its first 7-nanometer product will be a Radeon “Vega” GPU specifically built for machine learning applications. “We successfully accomplished the ambitious goals we set for ourselves in 2017, reestablishing AMD as a high-performance computing leader with the introduction and ramp of 10 different product families,” said AMD President and CEO Lisa Su, in a statement. “We are building on this momentum in 2018 as we make our strongest product portfolio of the last decade even stronger with new C… 2018-01-07 00:00:00 CloudQuant Thoughts: Innovation in processing chips is really going to help out in the world of quantitative trading research. The more mainstream that this gets, the more likely we are to see these chips make it into cloud data centers.