Skip to main content

Python for Financial Analysis and Algorithmic Trading

Learn numpy , pandas , matplotlib , quantopian , finance , and more for Financial Analysis and Algorithmic Trading with Python




What Will I Learn?

  • Use NumPy to quickly work with Numerical Data

  • Use Pandas for Analyze and Visualize Data

  • Use Matplotlib to create custom plots

  • Learn how to use statsmodels for Time Series Analysis

  • Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..

  • Use Exponentially Weighted Moving Averages

  • Use ARIMA models on Time Series Data

  • Calculate the Sharpe Ratio

  • Optimize Portfolio Allocations

  • Understand the Capital Asset Pricing Model

  • Learn about the Efficient Market Hypothesis

  • Conduct algorithmic Trading on Quantopian


 
Requirements


  • Some knowledge of programming (preferably Python)

  • Ability to Download Anaconda (Python) to your computer

  • Basic Statistics and Linear Algebra will be helpful


 

Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading? If your answer is yes, then you are on the right place!


We will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We'll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!


We'll cover the following topics used by financial professionals:
  • Python Fundamentals

  • NumPy for High Speed Numerical Processing

  • Pandas for Efficient Data Analysis

  • Matplotlib for Data Visualization

  • Using pandas-datareader and Quandl for data ingestion

  • Pandas Time Series Analysis Techniques

  • Stock Returns Analysis

  • Cumulative Daily Returns

  • Volatility and Securities Risk

  • EWMA (Exponentially Weighted Moving Average)

  • Statsmodels

  • ETS (Error-Trend-Seasonality)

  • ARIMA (Auto-regressive Integrated Moving Averages)

  • Auto Correlation Plots and Partial Auto Correlation Plots

  • Sharpe Ratio

  • Portfolio Allocation Optimization

  • Efficient Frontier and Markowitz Optimization

  • Types of Funds

  • Order Books

  • Short Selling

  • Capital Asset Pricing Model

  • Stock Splits and Dividends

  • Efficient Market Hypothesis

  • Algorithmic Trading with Quantopian

  • Futures Trading

So, what are you waiting for? Click the button "Enroll Now" and start learning today!


[button link="https://click.linksynergy.com/deeplink?id=LTDmoZU*IG0&mid=39197&u1=onlinecourses&murl=https%3A%2F%2Fwww.udemy.com%2Fpython-for-finance-and-trading-algorithms%2F" type="big" newwindow="yes"] Enroll Now[/button]


 

Comments

Post a Comment

Popular posts from this blog

Data Science, Deep Learning, & Machine Learning with Python

Deep Learning, Data Science, & Machine Learning with Python Go hands-on with the latest neural network, artificial intelligence,deep learning and data science techniques employers are seeking! What Will I Learn? Develop using iPython notebooks Understand statistical measures such as standard deviation Visualize data distributions, probability mass functions, and probability density functions Visualize data with matplotlib Use covariance and correlation metrics Apply conditional probability for finding correlated features Use Bayes' Theorem to identify false positives Make predictions using linear regression, polynomial regression, and multivariate regression Understand complex multi-level models Use train/test and K-Fold cross validation to choose the right model Build a spam classifier using Naive Bayes Use decision trees to predict hiring decisions Cluster data using K-Means clustering and Support Vector Machines (SVM) Build a movie r...
1 comment
Read more

Oracle DBA 11g/12c - Database Administration for Junior DBA

Oracle DBA 11g/12c - Database Administration for Junior DBA Learn to become an Oracle Database Administrator (DBA) in 6 weeks and get a well paid job as a Junior DBA What Will I Learn? Final Goal: Get a job as an Oracle Database Administrator (Oracle DBA) As a Oracle Database Administrator (Oracle DBA), you would be able understand the Database Architecture, which will help you to perform your DBA duties with better understanding. As a Oracle Database Administrator (Oracle DBA), you would be able to Install the necessary Oracle Software/Database As a Oracle Database Administrator (Oracle DBA), you would be able to Administer User accounts in the Database As a Oracle Database Administrator (Oracle DBA), you would be able to Manage Tablespace's to provide required space for the data As a Oracle Database Administrator (Oracle DBA), you would be able perform Backup and Recovery as needed. As a Oracle Database Administrator (Oracle DBA), you would be able to diagnose ...
1 comment
Read more

Bootstrap 4 From Scratch With 5 Projects

Bootstrap 4 From Scratch With 5 Projects Master the latest version of Bootstrap (4.0.0 Beta) and build 5 real world themes while learning HTML5 semantics & CSS3 What Will I Learn? Learn and create amazing high quality Bootstrap 4 themes and UIs from scratch Learn the Bootstrap 4 utilities, classes, components & JS widgets using a custom sandbox environment Create a professional workflow & dev server to build from source and compile Sass Requirements You should have basic knowledge of HTML & CSS You do NOT need to know any Bootstrap 3 Description This course will literally take you from knowing nothing about Bootstrap 3 or 4 to learning all of the utilities, components, widgets and grids and building real world themes and websites. You do NOT need to know Bootstrap 3 for this course. Even if you already know Bootstrap 4, skip the learning sections and head right for section 6 to create the custom workflow and start the projec...
Post a Comment
Read more