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Deep Learning for algorithmic trading using Python


You already know python, and also you need to monetize and diversify your information?

You have already got some trading information, and also you need to find out about synthetic intelligence in algorithmic trading?

You might be merely a curious one who desires to get into this topic?

When you reply at the least one in every of these questions, I welcome you to this course. For learners in python, do not panic! There’s a python course (small however condensed) to grasp this python information.

On this course, you’ll learn to program methods from scratch. Certainly, after a crash course in Python, you’ll learn to implement a system based mostly on Deep Learning (Deep neural community, Recurrent neural community).

As soon as the methods are created, we are going to backtest them using python. In order that we all know higher this technique using statistics like Sortino ratio, drawdown the beta… Then we are going to put our greatest algorithm in reside trading.

You’ll find out about instruments utilized by each portfolio managers {and professional} merchants:

  • Synthetic intelligence algorithm

  • Apply Deep Learning in Reside Trading

  • Predict inventory costs using Deep Learning

  • Reside trading implementation

  • Import monetary knowledge using MetaTrader 5¬†or Yahoo finance

  • DNN Algorithm

  • RNN algorithm to research and predict time sequence habits

  • How one can do a backtest a method using the programming language Python

  • Numpy, Pandas, Matplotlib

  • Sharpe, Sortino ratios

  • Alpha, Beta coefficients

Why this course and never one other?

  • It isn’t a programming course nor a trading course. It’s a course wherein programming is used for trading.

  • A knowledge scientist doesn’t create this course, however a level in arithmetic and economics specialised in Machine studying for finance.

  • You possibly can ask questions or learn our quantitative finance articles just by registering on our free Discord discussion board.

With out forgetting that the course is glad or refunded for 30 days. Do not miss a chance to enhance your information of this fascinating topic.



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