## Simple Moving Average Long Strategy

First, we will load the python packages.Previously we did two videos on LSTM long strategies – one using classification approach and one using regression …

First, we will load the python packages.Previously we did two videos on LSTM long strategies – one using classification approach and one using regression …

Previously we did a K-Means clustering on STI component stocks. It is interesting to compare the clustering with another popular clustering method – hierarchical …

In this tutorial of machine learning on algorithmic trading, we will show how to perform k-means clustering of STI component stocks.First we will import …

After my first video on LSTM’s long strategy on algorithmic trading, i got a feedback to try out the regression instead of classification. In …

First, we will load the python packages.We will use the yahoo finance package to import the historical data. We will import Microsoft dataset for …

Autoencoders are an unsupervised learning technique in which we leverage neural networks for the task of representation learningWith the new Tensorflow API, it has become …

If we want state of the art transformer package for Natural Language Processing (NLP), then I would highly recommend Hugging Face Transformer The Hugging …

In this blog, we will show how to import the stock price time series from Yahoo Finance and visualize using Pandas. To import data …

Algorithmic trading (also called automated trading, black-box trading, or algo-trading) uses a computer program that follows a defined set of instructions (an algorithm) to …

Binomial distribution model is an important probability model that is used widely when there are two possible outcomes, for example positive reviews and negative …

It is a good idea to visualize the feature maps for a specific input image in order to to understand what features of the …

Recurrent Neural Network (RNN) model has been very useful to processing sequential data. Tensorflow Keras is a great platform to implement RNN as the …