Trading


#FinServ_2019-09-04_04-30-57.xlsx

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The graph represents a network of 2,183 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 04 September 2019 at 11:32 UTC. The requested start date was Sunday, 01 September 2019 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 8-day, 2-hour, 46-minute period from Friday, 23 August 2019 at 07:01 UTC to Saturday, 31 August 2019 at 09:47 UTC.



Deep Nexus Launches Artificial Intelligence Trading Technology

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Deep Nexus Inc. (Deep Nexus) today announces the launch of its AI-powered predictive analytics for financial markets. "Our core approach is to find repeating patterns and anomalies in data and to use these for intra-day trading," said Chief Executive Officer Kevin M. Riley. "Our technology stack is complete; from collecting incoming data, to generating analytics, through trade execution. It is the emerging hardware and software technologies, especially deep learning, that have made our platform possible." Riley began experimenting with quantitative trading strategies and neural networks more than 20 years ago.


Leverage new tech opportunities for SDGs achievement in Africa UNDP in Africa

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The Assistant Secretary General and Director of the Regional Bureau for Africa of the United Nations Development Programme (UNDP), Ms. Ahunna Eziakonwa, called on African countries to take advantage of the opportunities offered by digital technologies such as artificial intelligence (AI), blockchains and machine learning, and deploy these in various sectors for the achievement of the 17 Sustainable Development Goals (SDGs). She made the call during a panel session at a side event at the 7th Tokyo International Conference on African Development (TICAD7) in Yokohama, Japan. The event, titled "From Idea to Action: Harnessing the Potential of Science, Technology and Innovation (STI) in Africa's Development", was organized by the Japan International Cooperation Agency (JICA) and the World Bank. Ms. Eziakonwa noted that, Africa needs to harness the potential of STI for development by prioritizing policies and making investments to increase access to state-of-the-art technologies such as e-governance, finance and digital literacy and skills – at secondary and TVET (Technical and Vocational Education and Training) level. She called for the adoption of innovative financing schemes that combine both public and private sector resources and technical expertise for the achievement of the three dimensions of sustainable development: economic, social and environment.


Investment Management with Python and Machine Learning Coursera

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The practice of investment management has been transformed in recent years by computational methods. This course provides an introduction to the underlying science, with the aim of giving you a thorough understanding of that scientific basis. However, instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language. This course is the first in a four course specialization in Data Science and Machine Learning in Asset Management but can be taken independently. In this course, we cover the basics of Investment Science, and we'll build practical implementations of each of the concepts along the way.


AI Chatbots for ITSM

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And, better the health of a Service Desk, better is the maintenance of the infrastructure that supports an enterprise. However, owing to varied market dynamics Service Desks are further pressured to deliver 24/7 consistent services aimed towards infrastructure stability, network stability, asset management and more. Such targets create operational bottlenecks, reduces speed of support and increases costs. Know more about the other more important benefits of AI Chatbots designed for ITSM from our webinar and understand how they can take the complexity out of ITSM operations in less than 4 weeks*. His expertise stems from extensive work on messaging platforms, Enterprise systems and RPA.


Top 10 Machine Learning Algorithms For Beginners

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To give you an example of the impact of machine learning, Man group's AHL Dimension programme is a $5.1 billion dollar hedge fund which is partially managed by AI. After it started off, by the year 2015, its machine learning algorithms were contributing more than half of the profits of the fund even though the assets under its management were far less. After reading this blog, you would be able to understand the basic logic behind some popular and incredibly resourceful machine learning algorithms which have been used by the trading community as well as serve as the foundation stone on which you step on to create the best machine learning algorithm. Initially developed in statistics to study the relationship between input and output numerical variables, it was adopted by the machine learning community to make predictions based on the linear regression equation. The mathematical representation of linear regression is a linear equation that combines a specific set of input data (x) to predict the output value (y) for that set of input values.


Top 10 Machine Learning Algorithms For Beginners

#artificialintelligence

To give you an example of the impact of machine learning, Man group's AHL Dimension programme is a $5.1 billion dollar hedge fund which is partially managed by AI. After it started off, by the year 2015, its machine learning algorithms were contributing more than half of the profits of the fund even though the assets under its management were far less. After reading this blog, you would be able to understand the basic logic behind some popular and incredibly resourceful machine learning algorithms which have been used by the trading community as well as serve as the foundation stone on which you step on to create the best machine learning algorithm. Initially developed in statistics to study the relationship between input and output numerical variables, it was adopted by the machine learning community to make predictions based on the linear regression equation. The mathematical representation of linear regression is a linear equation that combines a specific set of input data (x) to predict the output value (y) for that set of input values.


Element AI announces $200 million CAD Series B round BetaKit

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Element AI has closed a much-anticipated venture round, raising a $200 million CAD ($151.4 million USD) Series B from the Government of Quebec, pension fund Caisse de dépôt et placement du Québec (CDPQ), and McKinsey & Company, among others. The $200 million in funding is one of the largest venture capital rounds in Canadian history, and follows a record-breaking year for Canadian tech. New investors included CDPQ, a long-term institutional investor, McKinsey & Company, a global management consulting firm and owner of advanced analytics company QuantumBlack, and Gouvernement du Québec. Existing investors from this round include DCVC (Data Collective), Hanwha Asset Management, BDC Capital, Real Ventures, among many others, the startup said, bringing the total amount raised so far to $340 million CAD ($257 million USD). "Operationalizing AI is currently the industry's toughest challenge, and few companies have been successful at taking proofs-of-concept out of the lab, imbedding them strategically in their operations, and delivering actual business impact," said Element AI CEO Jean-François Gagné.


Element AI announces $200 million CAD Series B round BetaKit

#artificialintelligence

Element AI has closed a much-anticipated venture round, raising a $200 million CAD ($151.4 million USD) Series B from the Government of Quebec, pension fund Caisse de dépôt et placement du Québec (CDPQ), and McKinsey & Company, among others. The $200 million in funding is one of the largest venture capital rounds in Canadian history, and follows a record-breaking year for Canadian tech. New investors included CDPQ, a long-term institutional investor, McKinsey & Company, a global management consulting firm and owner of advanced analytics company QuantumBlack, and Gouvernement du Québec. Existing investors from this round include DCVC (Data Collective), Hanwha Asset Management, BDC Capital, Real Ventures, among many others, the startup said, bringing the total amount raised so far to $340 million CAD ($257 million USD). "Operationalizing AI is currently the industry's toughest challenge, and few companies have been successful at taking proofs-of-concept out of the lab, imbedding them strategically in their operations, and delivering actual business impact," said Element AI CEO Jean-François Gagné.