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This video presents a simple way to introduce RNN (recurrent neural networks) and LSTM (long short term memory networks) for price movement predictions in trading Forex, Stock Market and Crypto. The algorithm is written in python language and can be downloaded so you can experiment on by changing the algorithm parameters. Deep Learning has been advertised as the ultimate prediction algorithm, in here we put it to the test in trading and price movement predictions. Technical indicators are added as well such as the relative strength indicator RSI and moving averages MA to extend the input data for the trading model. 💲 Discount Coupon for My Udemy course on Algorithmic Trading: https://bit.ly/CouponAlgorithmicTrading 📘 Book available on Amazon (Algorithmic Trading Hands-On Approach Using Python): https://a.co/d/6woMBHt Discount Vouchers for my Algorithmic Trading and Python courses: 💲 Algorithmic Trading: https://bit.ly/CouponAlgorithmicTrading 💲 Data Analysis with Numpy and Pandas: https://bit.ly/CouponDataAnalysis 💲 Machine Learning Methods In Algorithmic Trading: https://bit.ly/CouponMachineLearningT... 💲 Python Beginner Course With Solved Exercises: https://bit.ly/CouponPythonBasics 💲 Object Oriented Programming in Python: https://bit.ly/CouponOOP The python code link: https://drive.google.com/file/d/15xlg... #forexanalysis #neuralnetworks #deeplearning #tradingbots #tradingbot #forex #stockmarket #stocktrading #stocktradingstrategies #algotrading #python