# Algorithmic Trading Model for Simple Momentum Strategy Using Python Take 2

SUMMARY: The purpose of this project is to construct and test an algorithmic trading model and document the end-to-end steps using a template. Additional Notes: This is an adaptation of the momentum trading strategy from Chapter 2 of Learn Algorithmic Trading by Sebastien Donadio and Sourav Ghosh with Packt Publishing. INTRODUCTION: This algorithmic trading model… Read More

# Time Series Model for Monthly Shampoo Sales Using Python and ETS

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a time series prediction model and document the end-to-end steps using a template. The Monthly Shampoo Sales dataset is a time series situation where we are trying to forecast future… Read More

# Algorithmic Trading Model for Simple Momentum Strategy Using Python Take 1

SUMMARY: The purpose of this project is to construct and test an algorithmic trading model and document the end-to-end steps using a template. Additional Notes: This is an adaptation of the momentum trading strategy from Chapter 2 of Learn Algorithmic Trading by Sebastien Donadio and Sourav Ghosh with Packt Publishing. INTRODUCTION: This algorithmic trading model… Read More

# ARIMA Time Series Modeling Project Template for Python Version 6

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly. Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that can be used to support time series analysis using the ARIMA modeling and… Read More

# Algorithmic Trading Model for “Buy Low Sell High” Using Python Take 4

SUMMARY: The purpose of this project is to construct an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses daily close prices to generate trading signals. If the stock closes lower for the day, we will purchase at the opening of the next trading day if we… Read More

# Algorithmic Trading Model for “Buy Low Sell High” Using Python Take 3

SUMMARY: The purpose of this project is to construct an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses daily close prices to generate trading signals. If the stock closes lower for the day, we will purchase at the opening of the next trading day if we… Read More

# Time Series Model for California Female Births Using Python and ETS

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a time series prediction model and document the end-to-end steps using a template. The California Female Births dataset is a time series situation where we are trying to forecast future… Read More

# Algorithmic Trading Model for “Buy Low Sell High” Using Python Take 2

SUMMARY: The purpose of this project is to construct an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses daily close prices to generate trading signals. If the stock closes lower for the day, we will purchase at the opening of the next trading day if we… Read More

# Algorithmic Trading Model for “Buy Low Sell High” Using Python Take 1

SUMMARY: The purpose of this project is to construct an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses daily close prices to generate trading signals. If the stock closes lower for the day, we will purchase at the opening of the next trading day if we… Read More

# Data Visualization for 2019 Novel Coronavirus COVID-19 Data by Johns Hopkins CSSE

SUMMARY: The purpose of this project is to data visualization panels for COVID-19 situations using the data repository compiled by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) The HTML formatted report can be found here on GitHub.