Stock Market Screening and Analysis: Using Web Scraping, Neural Networks, and Regression Analysis in Investing
Increasing portfolio returns using python Source
Neural Network
Identifying Candlestick Patterns using Deep Learning
Training a neural network on candlestick charts and then using it to identify patterns on it Source
Farewell RNNs, Welcome TCNs
How Temporal Convolutional Networks are moving in favor of Sequence Modeling — Stock Trend Prediction. Source
How to Generate Trading Strategies Automatically
Building a Quantitative Analysis Tool for Researchers & Neural Networks Source
Building a Neural Network to Manage a Stock Portfolio
Introduction to Financial Deep Learning I wanted to write a follow-up article to Build an AI Stock Trading Bot for Free, which describes the development and deployment of an AI model to make trading decisions. ...
Google Stock Predictions using an LSTM Neural Network
Using a Vanilla LSTM for Stock Predictions Time-series is a data format that is very tough to manage. Compared to cross-sectional data, a data format to which you can directly apply machine learning algorithms without ...
Stock prediction using recurrent neural networks
Predicting gradients for given shares Source
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
Neural Networks to Predict the Market
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 ...
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 ...