Stock Buy/Sell Prediction Using Convolutional Neural Network
This project is loosely based on a research paper titled “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach”. Source
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Using TensorTrade for Making a Simple Trading Algorithm
In this tutorial, I’m going to show how to use Ray with TensorTrade (TT) in order to create a profitable algorithm on a predictable sine curve. You may be asking yourself, why use something so ...
Stock Market Prediction using News Sentiments
An End-to-End Project on Time Series Analysis using Machine Learning. Predicting stock market prices has been a topic of interest among both analysts and researchers for a long time. Stock prices are hard to predict ...
Printing Money With TD Ameritrade’s API
We’ve all heard about algorithmic trading in the news. It sounds great! You think of a program making money for you while you sip Mai Tais and smoke the finest ganja on the beach in ...
Stock Predictor using Keras
There’s two ways to predict a stock, one is predicting the actual value into an x amount of time into the future, which is usually graphed and this is mainly what you’ll see compared with ...
How To Create A Fully Automated AI Based Trading System With Python
A couple of weeks ago I was casually chatting with a friend, masks on, social distance, the usual stuff. He was telling me how he was trying to, and I quote, detox from the broker ...
Using LSTMs For Stock Market Predictions (Tensorflow)
In this tutorial, you will see how you can use a time-series model known as Long Short-Term Memory. LSTM models are powerful, especially for retaining a long-term memory, by design, as you will see later. ...
Stock Market Prediction by Recurrent Neural Network on LSTM Model
The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. In fact, investors are highly interested in the research area of stock price prediction. For a good ...
Using Machine Learning to Predict Stock Prices
Machine learning and deep learning have found their place in the financial institutions for their power in predicting time series data with high degrees of accuracy and the research is still going on to make ...
Introduction to Neural Networks for Finance
Machine Learning and deep learning have become new and effective strategies commonly used by quantitative hedge funds to maximize their profits. As an AI and finance enthusiast myself, this is exciting news as it combines ...