Identifying Candlestick Patterns using Deep Learning
Training a neural network on candlestick charts and then using it to identify patterns on it Source
Technologies
A Step-by-step Implementation of a Trading Strategy in Python using ARIMA + GARCH models
Make use of a completely functional ARIMA+GARCH python implementation and test it over different markets using a simple framework for visualization and comparisons. Source
Farewell RNNs, Welcome TCNs
How Temporal Convolutional Networks are moving in favor of Sequence Modeling — Stock Trend Prediction. Source
How to send Stock Updates with Python
As a way to identify new companies to invest in, I like to watch out for the biggest market movers each day. However, there are thousands of stocks out there, and checking the news for ...
Stock Price Analysis with Pandas and Altair
Practical guide for pandas and Altairs Stock price analysis is an example of time series analysis which is one of the primary areas in predictive analytics. Time series data contains measurements or observations attached to ...
How to build a simple Stock Movement Classifier
This post shall explore the steps involved in building a stock Movement classifier. Source
How to Generate Trading Strategies Automatically
Building a Quantitative Analysis Tool for Researchers & Neural Networks Source
Machine Learning to Predict Stock Prices
Utilizing a Keras LSTM model to forecast stock trends Source
Technical Indicators and GRU/LSTM to Predict Stock price
Predictive model using multivariate time-Series and Python Code Source
Predict Bitcoin Prices with Deep Learning
Use Neural Networks to Forecast Cryptocurrency Prices with Python Source