Python for Financial Analysis using Trading Algorithms
Original price was: $109.99.$18.99Current price is: $18.99.
What you’ll learn
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Use NumPy to quickly work with Numerical Data
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Use Pandas for Analyze and Visualize Data
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Use Matplotlib to create custom plots
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Learn how to use statsmodels for Time Series Analysis
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Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
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Use Exponentially Weighted Moving Averages
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Use ARIMA models on Time Series Data
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Calculate the Sharpe Ratio
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Optimize Portfolio Allocations
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Understand the Capital Asset Pricing Model
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Learn about the Efficient Market Hypothesis
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Conduct algorithmic Trading on Quantopian
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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, then this is the right course for you!
This course 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
Who this course is for:
- Someone familiar with Python who wants to learn about Financial Analysis!
12 reviews for Python for Financial Analysis using Trading Algorithms
Add a review
Original price was: $109.99.$18.99Current price is: $18.99.
Joe Agnese –
I really like the course. The instructor is knowledgeable and presents info in an effective manner.
The comprehensive/not simplistic exercises combined with the lectures are very effective. This course made me check out and purchase a couple others by same instructor.
David Pagan –
I love Jose’s courses, and this one no less. He takes time to explain some of these insane topics in detail which I really appreciate. And even though the Quantopian section was harder to follow it challenged me to work more with Blueshift, which he recommended, and I found myself learning a ton. Thanks!
Gil Claudio –
I like the way he slowly builds on topics to lead to big python code. I am looking forward to lectures that are not based on Quantopian.
Rohan Prakash –
I though the course was both full and informative, covering a broad range of skills needed to become comfortable creating simple Trading Algorithms. Sadly the closing of Quantopian made the last two sections less impactful and that was meant to be the crux of the course.
Alp –
First few chapters are nice, but last chapters are totally outdated and doesn’t seem to be getting an update. Final chapters are the ones that you actually apply algo trading but since the platform is closed you can’t follow along. Don’t buy
Ritik Kirti –
The quantopian has depreciated an I was trying to use the Blue Shift in it’s place the algo were not working on them.
Jonas Burkart –
Very happy with the course and liked it a lot that so many examples and short exercises were included, so one could also practice the knowledge one just learned immediately.
Ryan Smith –
Good base to understand, pity Quantopian shut down, as it was quite well used in this course, however i managed to get alot of value out of it by building my own data and getting the same results.
David Joiner –
Instructor is great. Most of the information is now old given that Quantopian has shut down. But the principles behind the coding remain valid.
Slava Ch –
The course is outdated as Quantopian is not available anymore, so the main section is useless. Suggest the author either delist this course or update the Section 12.
The basic Python sections are ok though…
Mr Jay Wijeratne –
The Actual algorithmic part of the course is redundant as they used Quantopian for it which no longer exists.
So I would not recommend this course.
Antonio –
the course is useless as the relevant part refer to quantopian service which has been shut down from acouple of years probably. don’t waste your money. also Udemy is doing nothing about this and when contacted they just ignore you…