Algorithmic Trading Model for Cramer COVID-19 Index 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. INTRODUCTION: CNBC’s Jim Cramer, the host of Mad Money show, presented a list of stocks on April 27 that he believes will work well in this coronavirus-plagued market. The ‘Cramer COVID-19 Index’… Read More

Algorithmic Trading Model for Cramer COVID-19 Index 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. INTRODUCTION: CNBC’s Jim Cramer, the host of Mad Money show, presented a list of stocks on April 27th that he believes will work well in this coronavirus-plagued market. The ‘Cramer COVID-19 Index’… Read More

Algorithmic Trading Model for Exponential Moving Average Crossover Take 4

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. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day exponential moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More

Algorithmic Trading Model for Simple Moving Average Crossover Take 4

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. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day simple moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More

Multi-Class Deep Learning Model for Forest Cover Type Using TensorFlow Take 7

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 predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More

Multi-Class Deep Learning Model for Forest Cover Type Using TensorFlow Take 6

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 predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More

Multi-Class Deep Learning Model for Forest Cover Type Using TensorFlow Take 5

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 predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More

Multi-Class Machine Learning Model for Forest Cover Type Using Scikit-learn Take 4

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 predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More

Algorithmic Trading Model for Exponential Moving Average Crossover Take 3

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. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day exponential moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More

Algorithmic Trading Model for Exponential Moving Average Crossover 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. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day exponential moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More