How to build a simple Stock Movement Classifier
This post shall explore the steps involved in building a stock Movement classifier. Source
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How to Analyze Fundamental Stock Data With Machine Learning Pipelines
Using pipelines to optimize machine learning models One way machine learning is used in the finance industry is to analyze and predict the movement of stock prices. In regards to the technique of fundamental analysis ...
How to Generate Trading Strategies Automatically
Building a Quantitative Analysis Tool for Researchers & Neural Networks Source
Data Anonymization with Autoencoders
How to anonymize the data while preserving its predictive power. Source
Machine Learning to Predict Stock Prices
Utilizing a Keras LSTM model to forecast stock trends Source
Predicting Stock Trend Using Deep Learning
Predicting the upcoming trend of stock using Deep learning Model(Recurrent Neural Network) Source
Stock Trading Strategy Utilizing the Distribution of Predicted Returns
On this article we explain one of the three novel contributions behind the paper “High-performance stock index trading using neural networks and trees”, which achieves very strong results applied to major stock market indices such ...
How to Automate the Extraction and Organization of Stock Data: Yahoo Finance API
This past summer, my grandfather taught me the tips and tricks of investing in the stock market. We did detailed analyses of various companies, comparing profit margins, price to earnings, and other aspects of company ...
Predicting stock prices using deep learning
If a human investor can be successful, why can’t a machine? Algorithmic trading has revolutionised the stock market and its surrounding industry. Over 70% of all trades happening in the US right now are being ...
Most useful Python functions for Time Series Analysis
All these Functions will be tested on a use case, helping you better your analysis and get better insights Source