Alternative Data News. 06, January 2021
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.
Tesla is now bigger (in market cap) than the next 10 biggest automakers.
Post by Reddit user u\jcceagle
I compressed its rise over the last two years into a minute. Enjoy!
CloudQuant Thoughts : Another great data visualization from Reddit’s Data is Beautiful. User “jcceagle” has another great animation posted in the last week entitled “More than 40% of the S&P 500 index is now made up of Tech.“.
Drowning in Data: The Risk Facing Companies Everywhere
It’s one thing for marketers to talk about “the flood of data.” It’s another thing for tech professionals such as data scientists to face what’s better described as a “deluge.” Whether in production, manufacturing, marketing, HR applications, or customer service, it’s clear that the systems that manage and analyze information are bursting with all kinds of structured and unstructured data.
And that data isn’t just growing in volume, but also complexity. In the context of HR, not only does each employee or contingent worker bring their own profile information—such as salary, benefits, year hired and certifications—to the table, they also continuously generate new data, including hours worked, projects completed, and performance-review results.
And beyond volume and complexity, there’s also the deceptively simple question of format. Not all data is simply binary: More and more, systems must be able to scan and parse free-text information where terminology may vary from user to user.
2021-01-04 Read the full story…
CloudQuant Thoughts : Solve all your data problems with our Firehose of Alternative Data, the CloudQuant Liberator solves all these issues. Check out our Data Catalog to see just some of the Alternative Data Sets we have available!
The Age Of Alt-facts: Why Your Business Must Focus On Alternative Data
n December 31, 2019, BlueDot, an AI-driven health monitoring platform based in Canada, had alerted its customers about a cluster of unusual pneumonia cases happening around the Huanan Seafood Market in Wuhan, China. This was nine days before the World Health Organization notified the world about a novel coronavirus which came to be known as COVID-19.
The power of alt-data: How alternative data can improve operational intelligence : How did an AI-based epidemiologist beat not only the WHO but also the US Centers for Disease Control and Prevention (CDC) – who rolled out the notification six days after BlueDot – to the punch? The answer lies in data. More specifically, in external, alternative data.
As opposed to the WHO and the CDC, which rely on official sources such as government and public health officials, BlueDot derives much of its predictive ability from data it collects from alternative sources. These datasets include, for example, the information of over four billion passengers on commercial flights travelling every year; climate data from satellites; the population data of humans, animals, and insects; and local information from journalists and healthcare workers gleaned daily from 100,000 online articles across 65 languages.
2020-12-29 Read the full story…
CloudQuant Thoughts : FASCINATING! It is no surprise that someone who has driven themselves to use data to identify unusual changes in behaviour would spot the actual lockdown in Wuhan whilst the Chinese Government were trying to hide it. I would love to be involved in this kind of reasearch!
A 2021 vision: what every fund manager is buying (or selling)
The assets of investment funds adhering to environmental, social and governance (ESG) principles doubled this past year to over $1.3 trillion, and the IIF predicts the pace will accelerate in 2021, especially if U.S. President-elect Joe Biden pursues a greener agenda
Concerns about pollution, climate change and labour rights are the main drivers. But the IIF also points out 80% of “sustainable” equity indices outperformed non-ESG peers during the pandemic-linked selloff, while renewable energy has been the runaway outperformer since then.
2021-01-04 Read the full story…
What Is WILDS DataSet By Stanford – A Complete Guide
WILDS is a benchmark of in-the-wild distribution shifts spanning a variety of datasets and applications, consisting of wildlife monitoring, tumour identification, poverty mapping and some others. Until now, seven datasets have been incorporated, and more is to be done. Wilds builds on top of recently collected data by experts. It provides evaluation metrics along with train/test splits that represent real-world distribution shifts. These datasets show distribution shifts in training and testing data on different cameras, time periods, countries, demographics, molecular scaffolds, etc., which causes significant performance drop in baseline models. It is maintained by many researchers at Stanford, and some others from Berkley, Cornell, Caltech Universities and Microsoft Research team.
2020-12-31 Read the full story…
Eagle Alpha Appoints New CEO and Head of Biz Dev
Dublin-based alternative data sourcing and analytics provider, Eagle Alpha, recently announced that Niall Hurley, former Head of Business Development will be assuming the position of CEO, replacing founder and CEO Emmett Kilduff in that role. In addition, Natalie Aitken, who recently came to Eagle Alpha from data vendor, App Annie, has been appointed Head of Business Development
2021-01-05 05:30:00+00:00 Read the full story…
Weighted Interest Score: 4.9345, Raw Interest Score: 2.3073,
Positive Sentiment: 0.2072, Negative Sentiment 0.0967
Three 2021 trends in data governance, for firms, to bolster digital transformation and sustain
In 2021, the focus of financial services will be inclined to enable digital customer journeys as well as to sustain and grow revenue streams. Actively governing data will make managing it more formalized thus making it more available, less complex to understand, and protect the customers’ data rights.
Three principles and associated formalized dimensions that Financial services can focus on –
- Formalizing Data Collection from customers & third parties
- Increased data awareness & Literacy
- Data distribution Management
2021-01-03 08:21:59 Read the full story…
Weighted Interest Score: 4.2035, Raw Interest Score: 2.5074,
Positive Sentiment: 0.1475, Negative Sentiment 0.0000
5 Indian Companies Recruiting Data Scientists In Large Numbers
According to a recent study on analytics and data science jobs, the number of vacancies for data science-related jobs in India has increased by 53 per cent, since India eased the lockdown restrictions. Moreover, India’s share of open data science jobs in the world has seen a steep rise from 7.2 per cent in January to 9.8 per cent in August.
Here is a list of 5 such companies, in no particular order, in India that are currently recruiting Data Scientists in bulk.
2020-12-31 11:30:00+00:00 Read the full story…
Weighted Interest Score: 4.0269, Raw Interest Score: 2.2514,
Positive Sentiment: 0.0876, Negative Sentiment 0.0375
These 3 Tech Stocks Are Absurdly Overvalued Right Now
Many tech stocks rallied last year as demand for cloud, software, and e-commerce services surged throughout the coronavirus pandemic. That’s why the tech-heavy Nasdaq Composite rose more than 43% over the past 12 months as the S&P 500 advanced more than 16%.
I recently highlighted several promising tech stocks that are still worth buying even as the market hovers near all-time highs. But today, I’m going to cast a more critical eye and focus on three overvalued stocks that are simply too hot to handle:
- C3.Ai (NYSE:AI) – C3.Ai, which provides artificial intelligence services for enterprise customers, went public in early December at $42 per share.
- Jumia (NYSE:JMIA) – Shares of Jumia, the German company that operates e-commerce marketplaces in about a dozen African countries, surged about 450% over the past 12 months
- Snowflake (NYSE:SNOW) – The cloud-based software company Snowflake went public last September at $120 per share
2021-01-06 00:00:00 Read the full story…
Weighted Interest Score: 3.9634, Raw Interest Score: 1.8161,
Positive Sentiment: 0.0765, Negative Sentiment 0.3250
Closing Auction Volumes Rise In Europe
The share of trading in auctions in the European Union has risen from 20% four years ago to 29% last month, driven by the growth of closing auctions.
Four years ago trading in auctions had a market share of under 20%. By the fourth quarter of last year it had increased to 27%, and 29% in December, according to the big xyt EU Equities Market Microstructure Survey for 2020. big xyt is an independent provider of market data analytics and smart data solutions.
The report said: “It is the inexorable growth of closing auctions in particular, and not alternative trading mechanisms such as periodic or ‘continuous batch’ auctions that are taking market share.”
2021-01-04 13:10:22+00:00 Read the full story…
Weighted Interest Score: 3.4221, Raw Interest Score: 1.2628,
Positive Sentiment: 0.0881, Negative Sentiment 0.1175
Promising Retail Intelligence Companies In 2021
Retail intelligence helps retailers in forecasting sales and predicting customer behaviour to further improve sales.
Retail intelligence consists of using tools to measure and determine customer behaviour in retail chains or establishments. This information may pertain to customer visits, the relationship between price and promotion or sales, traffic in a particular aisle or the displays, and even heat zone analysis. Such information helps retailers greatly forecast sales and predict customer behaviour to further improve sales.
Given its importance, retail intelligence and analytics have emerged as a prominent field of research with many companies offering such services. This article lists some of the retail intelligence companies that hold great promise for the year 2021. The list is in no particular order.
- Fractal Analytics
2021-01-04 09:30:00+00:00 Read the full story…
Weighted Interest Score: 3.1550, Raw Interest Score: 1.5471,
Positive Sentiment: 0.1600, Negative Sentiment 0.0800
Equity trading volumes move to European venues
Report finds that auctions are grabbing an increasing proportion of European equity trading volumes and as of December 2020 they accounted for as much as 29% of daily turnover
Monday was the first chance for European equity traders to get a feel for how markets would function in the post Brexit environment. Under new rules which mandate that European equities should be traded on venues within the European Union. Something that the City of London can no longer lay claim to.
The last-minute nature of the UK’s trade deal with Brussels did not involve a specific agreement for financial services and to some extent, UK firms have been left high and dry until a formal agreement can be reached. Such an agreement may extend equivalence, to UK businesses, trading venues and regulations and that should ensure that UK firms can trade with and in Europe, as they did before the December 31st deadline. Negotiations between the two sides are due to begin this week in Brussels. However, in the absence of a deal, a chunk of European equity volume appears to have decamped to the continent either back to their primary exchanges or to a host of MTFs based in Europe.
2021-01-05 15:01:57+02:00 Read the full story…
Weighted Interest Score: 3.1091, Raw Interest Score: 1.3389,
Positive Sentiment: 0.0487, Negative Sentiment 0.0730
Data Analysis with Python, R, and SQL
The data science ecosystem consists of numerous software tools and packages that make our lives easier. Some of them are optimized to perform better and more efficient at certain tasks. However, we have many options for typical data analysis and manipulation tasks.
In this article, we will compare Python, R, and SQL with respect to typical operations in exploratory data analysis. The examples can be considered a basic level. The goal of the article is to emphasize the similarities and differences between these tools.
I also wanted to point out how same operations can be done with a different set of tools. Although there are syntactical differences, the logic behind the operations and the approach for handling a particular task is quite similar.
In the following examples, I will define a task and complete it using Pandas library (Python), Data.table library (R), and SQL.
2021-01-06 00:31:09.584000+00:00 Read the full story…
Weighted Interest Score: 2.7726, Raw Interest Score: 1.3863,
Positive Sentiment: 0.2773, Negative Sentiment 0.0924
Quest Software acquires Erwin to advance its DataOps agenda
Quest Software revealed it has acquired Erwin to expand its reach into the emerging DataOps realm. Terms of the deal were not disclosed.
Erwin is a longtime provider of the data modeling and metadata management tools at the core of many efforts to manage data as a business asset. That data is then shared across multiple applications and processes in a way that makes it simpler for everything from business intelligence (BI) applications to AI platforms to consistently consume multiple types of big data.
That shift in how data is managed is giving rise to a more automated approach to managing data at scale, known as DataOps, within enterprise IT organizations. This is especially true for companies committed to monetizing the data they collect, typically in the context of a larger digital business transformation initiative.
2021-01-05 00:00:00 Read the full story…
Weighted Interest Score: 2.7480, Raw Interest Score: 1.5179,
Positive Sentiment: 0.1309, Negative Sentiment 0.1309
Compliance and control: Solve your data headache with better email and document management
The increasing volume of data that financial firms hold is making it difficult for them to control information and ensure sensitive correspondence is managed effectively. This lack of data management control is putting financial firms at enhanced risk of data breaches, insider attacks and poor client service.
For example, research from Varonis found the financial services industry is at increased risk of insider breaches as a result of employees having unrestricted access to edit, move, and view corporate data.
The 2021 Financial Services data risk report found that 64% of financial organizations’ employees leave at least 1,000 sensitive files openly accessible to all their employees. Furthermore, the report found that the average employee has access to 13% of their organisation’s files and the largest financial firms have more than 20 million documents freely available to all employees.
2021-01-04 10:13:01 Read the full story…
Weighted Interest Score: 2.4905, Raw Interest Score: 1.4985,
Positive Sentiment: 0.1477, Negative Sentiment 0.4221
AnalytixLabs Partners With IBM To Offer Job-Oriented Certificate Programs In AI And Data Science
AnalytixLabs partners with IBM to offer state of the art, co-branded certificate programs to AI, Data Science, and Analytic Aspirants. AnalytixLabs is one of India’s top-ranked institutes for AI, Data Science, and Analytics training. The institute has learning centers in Gurgaon, Noida and Bangalore. AnalytixLabs has been maintaining a stellar domestic and global record in providing high quality, industry-relevant Data Science courses since 2011 with the help of a faculty consisting of industry experts.
AnalytixLabs has partnered with IBM to deliver co-branded certificate programs in Business Analytics, Data Science, Applied AI, Big Data & AI Engineering. The courses are available both in online and classroom formats. Some of these learning tracks have also been ranked among India’s top data science courses by the Analytics India Magazine.
IBM’s courses focus strongly on strengthening the students’ grip on the fundamentals. AnalytixLabs stresses on creating practical learning tracks that prepare the students for the industry through ample hands-on training. Some of these course modules are also accessible free of cost on IBM’s portal, whereas some of the premium course modules are only available under the co-branded program. These course modules are intertwined in the learning tracks on top of which AnalytixLabs delivers instructor-led live sessions to make the courses extensive and in-depth.
2021-01-06 04:30:00+00:00 Read the full story…
Weighted Interest Score: 2.2604, Raw Interest Score: 1.2967,
Positive Sentiment: 0.2714, Negative Sentiment 0.0603
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