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

• e.g. PostgreSQL Bootcamp: Go from Beginner to Advanced, 60+ Hours course

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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!

Who this course is for:

• Anyone who want to explore the world of financial markets
• Anyone who want to transition from Excel into Python
• Anyone who want to step into Financial Data Science by learning Pandas and more
• Anyone who want to learn how to do time series analysis on any global financial market instruments. i.e. Stocks, Indexes, Crypto and more
• Everyone who wants to learn how to code and apply their skills in practice in financial world