Algorithmic Trading and Price Prediction using Python Neural Network Models

Welcome to our video on Algorithmic Trading and Price Prediction using Neural Network Models in Python. In this tutorial, we will be demonstrating how to apply neural network models to algorithmic trading and price prediction.

We will start with an introduction to algorithmic trading and explain its importance in today's financial markets. Then, we will discuss how neural network models can be used to make predictions on stock prices and other financial data.

Throughout the video, we will be using Python to build and train our neural network models. We will be working with real-world financial data, and we will show you how to preprocess and clean the data before feeding it into our models.

If you're new to the topic of neural networks, don't worry! We will provide a clear and straightforward explanation of how neural networks work, and how they can be applied to solve complex prediction problems in the financial industry.

So, if you're a data scientist looking to expand your skillset, or a trader looking to improve your trading strategies, this video is for you! Make sure to watch the previous video in this playlist for additional background information.

Thank you for watching, and good luck with your algorithmic trading and price prediction journey!

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🍓 If you want to follow structured courses with more details and practice exercises check my "About" page for Discount Coupons on my Udemy courses covering: Python basics, Object Oriented Programming and Data Analysis with NumPy and Pandas, ... more courses are on the way drop me a message if you have a particular interesting topic! Good luck!

💲 Discount Coupon for My Udemy course on Algorithmic Trading:
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To download the code:
https://drive.google.com/file/d/17Gel...

previous video to check for more info
   • Price Trend Detection Using Machine L...  

00:00 Neural Networks Trading Signal Introduction
04:00 Neural Networks Trading Strategy In Python Code
12:13 Trend Predictions Results Using Neural Networks