Surrounded by rallies of “power to the people,” a rag-tag group of scrappy underdogs recently managed to bring Wall Street to its knees through a dazzling display of disobedient investing that saw Gamestop stocks rocket Moonward. This unprecedented seizure of power by the proletariat has been lauded far and wide as a smack in the mouth for the establishment. Some say it’s a warning shot to the financial kings and queens of the Earth.
… A team of researchers from the University of Gottingen recently converted an algorithmic approach to fighting fake news into a method for detecting online market manipulation. … The relevancy here is that Gamestonk didn’t happen as a result of small-time investment firms fighting against their bigger cousins. Gamestonk was a meme on a message board. Read More
Tag Archives: Investing
Top 25 Machine Learning Startups To Watch In 2021 Based On Crunchbase
The 25 startups to watch:
- Augury.
- Alation.
- Algorithmia.
- Avora.
- Boast.ai.
- ClosedLoop.ai.
- Cognino AI.
- Databand.
- DataVisor.
- Exceed.ai.
- Indico.
- JAXJOX.
- LeadGenius.
- Netra.
- Particle.
- ResurfaceLabs.
- RideVision.
- Savvie.
- SECURITI.ai.
- SkyHive.
- Stravito.
- Uniphore.
- Vertia.ai.
- V7.
- Zest.ai.
The Periodic Table of Data Science
The 150+ companies, resources, and tools that define the data science industry.
2020: A Big Data Year in Review
There are two weeks left in 2020, which means it’s time to exhale a bit and see where we’ve gone. It’s been a bumpy ride over the previous 50 weeks, for sure. But big strides have also been made for those pursuing big data, advanced analytics, and AI, and those accomplishments deserve some credit.
The big story of 2020, of course, was COVID-19. …The other major story of the year was the rise of the public cloud. The cloud was already growing fast at the beginning of 2020–and then COVID-19 happened and cloud growth kicked into overdrive. AWS grew at a 33% rate in the first quarter ended March 31, Google Cloud at 34%, and Microsoft Azure at a whopping 59%. Amazon.com, meanwhile, went on a hiring binge, bolstering its employee rolls by 380,000 over the past year. Collectively, Amazon, Microsoft, and Google their collective market capitalizations from $3.07 trillion to $4.43 trillion since December 30, 2019. (Apple, which does not run its own cloud, grew its market cap by nearly a trillion dollars.) Read More
Top 100 Artificial Intelligence Companies in the World
Artificial Intelligence (AI) is not just a buzzword, but a crucial part of the technology landscape. AI is changing every industry and business function, which results in increased interest in its applications, subdomains and related fields. This makes AI companies the top leaders driving the technology swift. AI helps us to optimise and automate crucial business processes, gather essential data and transform the world, one step at a time. Millions of users interact with AI directly or indirectly on a day-to-day basis via virtual assistants, facial recognition technology, gaming platforms, chatbots, mapping applications and a host of other software. From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.
As big enterprises are busy acquiring or merging with other emerging inventions, small AI companies are also working hard to develop their own intelligent technology and services. By leveraging artificial intelligence, organizations get an innovative edge in the digital age. AI consults are also working to provide companies with expertise that can help them grow. In this digital era, AI is also a significant place for investment. AI companies are constantly developing the latest products to provide the simplest solutions. Henceforth, Analytics Insight brings you the list of top 100 AI companies that are leading the technology drive towards a better tomorrow. Please note: The companies are in Alphabetical order with no internal rankings Read More
Techie Software Soldier Spy
Palantir, Big Data’s scariest, most secretive unicorn, is going public. But is its crystal ball just smoke and mirrors?
… Palantir is seeking to cash in on its ability to “do it all.” Over the years, the company has worked with some of the government’s most secretive agencies, including the CIA, the NSA, and the Pentagon’s Special Operations Command.
… Palantir’s public offering is founded on the company’s sales pitch that its software represents the ultimate tool of surveillance. Named after the “Seeing Stones” in The Lord of the Rings, Palantir is designed to ingest the mountains of data collected by soldiers and spies and police — fingerprints, signals intelligence, bank records, tips from confidential informants — and enable users to spot hidden relationships, uncover criminal and terrorist networks, and even anticipate future attacks. Read More
The state of AI in 2020: Democratization, industrialization, and the way to artificial general intelligence
After releasing what may well have been the most comprehensive report on the State of AI in 2019, Air Street Capital and RAAIS founder Nathan Benaich and AI angel investor and UCL IIPP visiting professor Ian Hogarth are back for more.
In the State of AI Report 2020, Benaich and Hogarth outdid themselves. While the structure and themes of the report remain mostly intact, its size has grown by nearly 30%. This is a lot, especially considering their 2019 AI report was already a 136 slide long journey on all things AI. Read More
Deep Reinforcement Learning for Automated Stock Trading
Using reinforcement learning to trade multiple stocks through Python and OpenAI Gym | Presented at ICAIF 2020
Our code is available on Github.
One can hardly overestimate the crucial role stock trading strategies play in investment.
Profitable automated stock trading strategy is vital to investment companies and hedge funds. It is applied to optimize capital allocation and maximize investment performance, such as expected return. Return maximization can be based on the estimates of potential return and risk. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. Read More
Data driven financial news.
University of Florida students have created an app to help investors spend less time analyzing stocks and newsfeeds in order to make investment decisions. The app analyzes news and social media to help better understand what’s happening in the world around you.
String uses AI to analyze strings of text which include millions of news and social media threads in order to better understand the fabric of society and the events happening in the world. Read More
Deep Learning Modeling of the Limit Order Book: A Comparative Perspective
The present work addresses theoretical and practical questions in the domain of Deep Learning for High Frequency Trading, with a thorough review and analysis of the literature and state-of-the-art models. Random models, Logistic Regressions, LSTMs, LSTMs equipped with an Attention mask, CNN-LSTMs and MLPs are compared on the same tasks, feature space, and dataset and clustered according to pairwise similarity and performance metrics. The underlying dimensions of the modeling techniques are hence investigated to understand whether these are intrinsic to the Limit Order Book’s dynamics. It is possible to observe that the Multilayer Perceptron performs comparably to or better than state-of-the-art CNN-LSTM architectures indicating that dynamic spatial and temporaldimensions are a good approximation of the LOB’s dynamics, but not necessarily the true underlying dimensions. Read More
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