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New York Institute of Finance and Google Cloud Launch A Machine Learning for Trading Specialization on Coursera

#artificialintelligence

The New York Institute of Finance (NYIF) and Google Cloud announced a new Machine Learning for Trading Specialization available exclusively on the Coursera platform. The Specialization helps learners leverage the latest AI and machine learning techniques for financial trading. Amid the Fourth Industrial Revolution, nearly 80 percent of financial institutions cite machine learning as a core component of business strategy and 75 percent of financial services firms report investing significantly in machine learning. The Machine Learning for Trading Specialization equips professionals with key technical skills increasingly needed in the financial industry today. Composed of three courses in financial trading, machine learning, and artificial intelligence, the Specialization features a blend of theoretical and applied learning.


Algorithmic Trading Strategies and Modelling Ideas

#artificialintelligence

'Looks can be deceiving,' a wise person once said. The phrase holds true for Algorithmic Trading Strategies. The term'Algorithmic trading strategies' might sound very fancy or too complicated. However, the concept is very simple to understand, once the basics are clear. In this article, We will be telling you about algorithmic trading strategies with some interesting examples. If you look at it from the outside, an algorithm is just a set of instructions or rules. These set of rules are then used on a stock exchange to automate the execution of orders without human intervention. This concept is called Algorithmic Trading. Popular algorithmic trading strategies used in automated trading are covered in this article.


Skill vs Luck: Can data-science improve investing for the future?

#artificialintelligence

Topics covered: 1- What are the main ingredients of a quantitative trading strategy, 2- What should be the aim of a trading strategy, 3- Different kinds of strategies and 4- Common biases that creep in when back-testing a trading strategy.


Post-Brexit trading: European firms seek new strategies

Al Jazeera

The region of Normandy in northern France relies heavily on cross-channel trade with the United Kingdom. And as Britain prepares to leave the European Union, there are concerns as well as hope.


On Education Cryptocurrency Trading Using Machine Learning with R - CouponED

#artificialintelligence

Bitcoin and the Blockchain Cryptocurrency Exchanges Plotting Market Data using the Quantmod package Develop and backtest the trading strategy in R The use of Unsupervised Machine Learning for Trading data science enthusiast or just curious general awareness of trading Description Finally, a series of courses that will teach how to develop quantitative trading strategies for important asset classes. This course is a way to share with you some of my profitable trading ideas, that you can always take forward, modify as you please and even increase its profitability. There are many courses out there that teach the use of R or Python for finance even trading, but only on that theory and the strategy they show are merely basic and are not of good value to people looking to find profitable trading ideas/strategies. I want to reverse that trend by teaching and sharing with you my profitable trading ideas which I have developed after many years of investigation, research and putting real funds on the line. These strategies make use of data analytics and machine learning.