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Algorithmic Trading Python

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 …

Algorithmic Trading Python

Hierarchical Clustering on STI Component Stocks

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

Algorithmic Trading Python

K-Means Clustering of STI Component Stocks

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 …

Algorithmic Trading Python

LSTM Long Regression Strategy for Algorithmic Trading

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 …

Algorithmic Trading Python

LSTM Long Classification Strategy for Algorithmic Trading

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 …

Python Tensorflow Keras Unsupervised Learning

Autoencoder Implementation on Tensorflow

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 …

Natural Language Processing Python

NLP with Hugging Face Transformer

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

Algorithmic Trading Python

Visualize Stock Price Time Series

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 Python

Algorithmic Trading with Python

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 …

Python Statistics

Compute Binomial Distribution using Python from Scratch

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

Python Tensorflow Keras

Feature Map Visualization Using Tensorflow Keras.

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

Python Tensorflow Keras

Sentimental Analysis Using Tensorflow Keras.

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