Python for Financial Markets Analysis
Python for Financial Markets Analysis
Welcome to Python for Financial Markets Analysis!
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 analyzing financial markets data! I’ve worked for Bloomberg for 17+ years and will present the knowledge to help you in this course.
We'll start off by learning the fundamentals of financial market data, importing large datasets and then proceed to learn about the various core libraries used in the Finance world including jupyter, numpy, pandas, matplotlib, statsmodels, yfinance, plotly, cufflinks and much more. We will use jupyter notebooks, google colabs and visual studio to write our python apps for finance.
We'll cover the following topics:
Python Fundamentals
NumPy for High Speed Numerical Processing
Pandas for Efficient Data Analysis
Matplotlib for Data Visualization
Pandas Time Series Analysis Techniques
Statsmodels
Importing financial markets data
Working with single and multiple stocks with prices, fundamental data
Streaming real-time data prices
Create interactive financial charts with plotly, cuffllinks
Using annotation to tell the data story
Simple to advanced time series analysis
Time series analysis with indexing, filling and resampling
Rate of returns analysis for stocks, crypto and indexes
Create Financial Indexes with price, equal and value weighted formations
Create custom technical indicators - Squeeze momentum, point and figure and more
Create trading strategies with technical indicators
Explore stock statistics with peer analysis, returns rates, and heatmaps
Find best and worst returns months for any global instruments
Create your very own stock screen
Create your very own web based (flask) candlestick pattern screener
Algo trading with Buy Low and Sell High Strategies
Portfolio analysis with pyfolio
Create interactive data apps with streamlit
and much more...
Why you should listen to me...
In my career, I have built an extensive level of expertise and experience in both areas: Finance and Coding
Finance:
17 years experience in Bloomberg for the Finance and Investment Industry...
Build various financial markets analytics companies like
KlickAnalytics,
ClickAPIs and more
Python & Pandas:
My existing companies extensively used python based models and algorithms
Code, models, and workflows are Real World Project-proven
Best Seller author on Udemy
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What are you waiting for? Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
Looking Forward to seeing you in the Course!
LETS GET STARTED!
By Ex-Bloomberg, Learn to use Real-World Python, Pandas, Statistics, Streamlit, Data Analysis on Stocks, Crypto and more
Url: View Details
What you will learn
- Create interactive data apps with Streamlit
- Simple to advance practical time series analysis
- Create trading strategies with technical indicators signals
![](https://img-c.udemycdn.com/course/240x135/3464482_7a8e_2.jpg)
Rating: 4.34375
Level: All Levels
Duration: 19 hours
Instructor: Adnan Waheed
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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