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Python for Financial Markets Analysis

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Python for Financial Markets Analysis

Python for Financial Markets Analysis - 
By Ex-Bloomberg, Learn to use Real-World Python, Pandas, Statistics, Streamlit, Data Analysis on Stocks, Crypto and more
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What you'll learn
  • Create interactive data apps with Streamlit
  • Simple to advance practical time series analysis
  • Create trading strategies with technical indicators signals
  • Algo trading with Buy Low and Sell High Strategies
  • Create a stock screener
  • Create a web based (flask) candlesticks pattern screener
  • Calculate Return, Risk, Correlation and Rolling Statistics for Stocks, Indexes and Portfolios
  • Create Financial Indexes with price, equal and value weighted formations
  • Portfolio analysis with pyfolio
  • Finding Higher High and Lower Lows in time series
  • Get 40+ technical indicators and create custom indicators

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


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


17 years experience in Bloomberg for the Finance and Investment Industry...

Build various financial markets analytics companies like


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!


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
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