Recurrent Neural Networks | LSTM Price Movement Predictions For Trading Algorithms
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.
ЁЯТ▓ Discount Coupon for My Udemy course on Algorithmic Trading:
https://bit.ly/CouponAlgorithmicTrading
ЁЯУШ 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:
ЁЯТ▓ Algorithmic Trading: https://bit.ly/CouponAlgorithmicTrading
ЁЯТ▓ Data Analysis with Numpy and Pandas: https://bit.ly/CouponDataAnalysis
ЁЯТ▓ Machine Learning Methods In Algorithmic Trading: https://bit.ly/CouponMachineLearningTrading
ЁЯТ▓ Python Beginner Course With Solved Exercises: https://bit.ly/CouponPythonBasics
ЁЯТ▓ Object Oriented Programming in Python: https://bit.ly/CouponOOP
The python code link:
https://drive.google.com/file/....d/15xlgoTsoLsV9I6mDt
#forexanalysis #neuralnetworks #deeplearning #tradingbots #tradingbot #forex #stockmarket #stocktrading #stocktradingstrategies #algotrading #python