Python for Financial Markets Analysis from Udemy

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.

What's inside

Learning objectives

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
Show more
Show less

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
Show more
Show less

Syllabus

Importing Financial Markets Data

Install python

Install Anaconda

Downloading and Importing finance data

Installing required package

Download OHLC price for single stock

Get specfic time range data

Get Intra-day data

Get Pre and Post Market Data

Fundamentals, Dividends, Splits and News

Splits and Dividends

Import multiple stocks

Export Data to CSV and Excel

From Dictionary > Series > Frame

Get Stock Earnings Information

Get Stock Analyst Recommendations

Get Stock Options Data

Get Stock Shareholders

Import and normalize Financial Indexes

Import ETFs and Mutual Fund Data

Import currency data

Import Cryptocurrencies

Import Treasury Yields Data

Streaming real-time data

Python Basic 101

Data types and Numbers

Variables

Integers and Float

Strings

Lists

Dictionaries

For loops

If conditions

Functions

Creating Interactive Financial Charts

Explore Plotly and cufflinks

Customizing charts

Spread Charts

Interactive Histogram

Candle and OHLC Charts

Technical Indicators : SMA and Bollinger Bands

Adding Volume and MACD Indicators

Using annotation to tell the story

Create an interactive candle chart + technical indicators

Time Series Analysis

The power of index()

Handling missing data in time series

Creating new data frame and using reindex

Using bfill and ffill methods

Resample time series

Timezone travel with time series

Shifting dates

Find largest and smallest numbers

Pandas profiling library

Translating SQL style queries

Calculate Boolean statistics

Construct multiple boolean conditions

Translate SQL where clauses

Rate of Returns Analysis

Calculate rate of returns

Log returns of a security

Rate of return for a portfolio

Rate of returns for major indices

Calculate Annualize Returns

Exploring Risk Analysis

Calculating a security risk

Creating weighted indexes

Prepare data, normalize data

Calculate Price Weighted Index

Calculate weights of constituents over time

Calculate Equal Weighted Index

Point and figure charts

Create point and figure charts

Quick Stock Analysis

Exploring Rolling Mean, Returns Deviations

Exploring Peer Analysis

Returns Rates and Risk with heat map

Find best and worst returns by months

Explore Stock Statistics

Calculate SMA on the fly

Calculate technical indicators with custom values

Calculate custom up and down days

Min, max and delta changes

Crypto vs Stock Market correlations

Is crypto market is correlation to stock market?

Exploring Technical Indicators

Introduction to technical indicators

Simple Moving Averages (SMA)

Exponential Moving Averages (EMA)

Bollinger Bands

MACD

Create technical indicator manually - MACD

Create technical indicator manually - MACD - Part 2

Relative Strength Index (RSI)

RSI - Overbought / Oversold Signals

Calculate pivot points

Getting 40+ technical indicators...

Technical Indicators Signals

Simple Moving Averages - Setting up data, and strategy

Visualization

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores industry standard libraries and module jupyter, numpy, pandas, matplotlib, statsmodels, yfinance, plotly, cufflinks and more

Beginner-friendly introduction to practical time series analysis

Covers a wide range of topics in financial markets analysis, from Python basics to advanced time series analysis

Provides opportunities for hands-on practice through interactive data apps and coding exercises

Requres learners to have a basic understanding of Python

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python for Financial Markets Analysis with these activities:

Time Series Analysis with Pandas

Show steps

Build a solid foundation of pandas for time series analysis.

Browse courses on Time Series Analysis

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Follow the tutorial on time series analysis with pandas.
Complete the exercises provided in the tutorial.

Financial data visualization with Plotly

Show steps

Enhance your data visualization skills for presenting financial data.

Browse courses on Data Visualization

Show steps

Follow the tutorial on financial data visualization with Plotly.
Create interactive charts and graphs to visualize your financial data.

Conduct fundamental analysis on major companies

Show steps

Develop an understanding of how to evaluate the financial health of companies.

Browse courses on Fundamental Analysis

Show steps

Gather financial statements for the target companies.
Analyze the financial ratios and metrics.
Write a report summarizing your findings.

Three other activities

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Show all six activities

Calculate technical indicators

Show steps

Generate buy and sell signals using built-in technical indicators.

Show steps

Import the relevant Python packages.
Load the financial data.
Calculate the desired technical indicators.
Plot the calculated indicators.

Trading Simulation Project

Show steps

Test and evaluate your trading strategies in a simulated environment.

Browse courses on Technical Analysis

Show steps

Design your trading strategy.
Backtest your strategy on historical data.
Refine your strategy based on the backtesting results.

Machine Learning for Financial Data Analysis

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Explore the use of machine learning techniques for predicting financial outcomes.

Browse courses on Machine Learning

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Attend the workshop on machine learning for financial data analysis.
Apply the learned techniques to predict financial outcomes.

Career center

Learners who complete Python for Financial Markets Analysis will develop knowledge and skills that may be useful to these careers:

Financial Analyst

Financial analysts use financial data to make recommendations on investments. The skills you will build in this course are useful for financial analysts as this course will teach you to analyze financial data with Python. Furthermore, you will learn how to stream real-time data prices and build custom technical and trading strategies. This course will equip you with the knowledge needed for foundational skills in financial analysis.

See salaries and explore the career path for Financial Analyst

Investment Analyst

Investment analysts evaluate and make recommendations on investment opportunities. This course will teach you how to import financial markets data. You will also learn how to calculate return, risk, correlation, and rolling statistics for stocks, indexes, and portfolios. This can help you make informed recommendations on investment opportunities.

See salaries and explore the career path for Investment Analyst

Financial Risk Manager

Financial risk managers use their knowledge of finance and risk management to help companies identify, assess, and manage financial risks. This course can help you understand how to import financial markets data and how to calculate return, risk, correlation, and rolling statistics for stocks, indexes, and portfolios. This can be helpful in identifying and quantifying financial risks in the real world.

See salaries and explore the career path for Financial Risk Manager

Portfolio Manager

Portfolio managers oversee the investment portfolios of their clients. This course will teach you how to import financial markets data and how to calculate return, risk, correlation, and rolling statistics for stocks, indexes, and portfolios. This can help you make informed investment decisions as a portfolio manager.

See salaries and explore the career path for Portfolio Manager

Data Analyst

Data analysts collect, clean, analyze, and interpret data to help businesses make informed decisions. Since you'll learn how to use the fundamental tools used for data analysis (Python, NumPy, Pandas, etc) in this course, it can help equip you with valuable skills for working as a data analyst. You will learn how to import, manipulate, and visualize large datasets. The course even covers creating interactive data apps with Streamlit, which may be useful in this role depending on the company you work for.

See salaries and explore the career path for Data Analyst

Risk Analyst

Risk analysts identify, assess, and manage financial risks. This course will help you learn how to import financial markets data and how to calculate return, risk, correlation, and rolling statistics for stocks, indexes, and portfolios. This can help you understand and communicate financial risks more effectively as a risk analyst.

See salaries and explore the career path for Risk Analyst

Quantitative Analyst

Quantitative analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course may be a good foundation for understanding how to analyze financial data with programming and building quantitative models. You will learn how to build trading strategies based on technical indicators, which may be of particular interest to this role.

See salaries and explore the career path for Quantitative Analyst

Hedge Fund Manager

Hedge fund managers use a variety of investment strategies to generate high returns for their clients. This course will teach you how to analyze financial data with Python and how to build custom technical and trading strategies. This can help you make informed investment decisions as a hedge fund manager.

See salaries and explore the career path for Hedge Fund Manager

Quantitative Researcher

Quantitative researchers use mathematical and statistical models to develop investment strategies. This course will help you learn how to analyze financial data with Python and how to build custom technical and trading strategies. This can help you develop more informed investment strategies as a quantitative researcher.

See salaries and explore the career path for Quantitative Researcher

Actuary

Actuaries use mathematical and statistical models to assess financial risks and make recommendations on how to manage them. This course will teach you how to import financial markets data and how to calculate return, risk, correlation, and rolling statistics for stocks, indexes, and portfolios. This can help you understand and communicate financial risks more effectively as an actuary.

See salaries and explore the career path for Actuary

Data Scientist

Data scientists use their knowledge of math, statistics, and computer science to solve business problems. This course can help data scientists learn about financial data analysis with Python. It covers installing Python and Anaconda, downloading and importing finance data, and using popular Python libraries for data analysis. However, it may be important to supplement this course with additional coursework or practical experience to gain a more comprehensive foundation for working as a data scientist in the financial industry.

See salaries and explore the career path for Data Scientist

Investment Banker

Investment bankers provide financial advice and services to corporations and governments. This course will teach you how to import financial markets data. This can help you understand the financial markets and make informed recommendations to your clients as an investment banker.

See salaries and explore the career path for Investment Banker

Financial Consultant

Financial consultants provide advice and guidance to individuals and businesses on financial matters. This course can help financial consultants learn how to analyze financial data with Python. It covers installing Python and Anaconda, downloading and importing finance data, and using popular Python libraries for data analysis.

See salaries and explore the career path for Financial Consultant

Software Engineer

Software engineers design, develop, and maintain software systems. This course can help software engineers learn about financial data analysis with Python. It covers installing Python and Anaconda, downloading and importing finance data, and using popular Python libraries for data analysis. This may be helpful for software engineers who want to work on financial software or who want to gain a better understanding of how financial data is analyzed and used.

See salaries and explore the career path for Software Engineer

Business Analyst

Business analysts use data to solve business problems and improve decision-making. This course can help business analysts learn about financial data analysis with Python. Since you'll learn how to import, manipulate, and analyze financial data with Python, this may be useful in this role, depending on the company you work for.

See salaries and explore the career path for Business Analyst