Description
Python for Financial Markets Analysis course. Python course for financial market analysis. Welcome to Python for Financial Markets Analysis! Are you interested in how people use Python to perform detailed financial analysis and track algorithmic trades, then this is the course for you! This course will walk you through everything you need to use Python to analyze financial markets data! I have worked for Bloomberg for over 17 years and I will bring the knowledge to help you through this course. We’ll start by learning the basics of financial market data, importing large data sets, and then explore the various core libraries used in the financial world, including jupyter, numpy, pandas, matplotlib, statsmodels, yfinance, plotly, cufflinks, and more. . More. We will use jupyter notebooks, google colabs and visual studio to write our python programs for finance. We will cover the following topics:
- Python basics
- NumPy for high-speed numerical processing
- Pandas for efficient data analysis
- Matplotlib for data visualization
- Pandas time series analysis techniques
- State models
- Importing financial markets data
- Work with single and multiple stocks with prices, fundamental data
- Real time data price stream
- Create interactive financial charts with cufflinks
- Use annotations to tell data stories
- Simple to advanced time series analysis
- Time series analysis with indexing, padding and resampling
- Rate of return analysis for stocks, cryptocurrencies and indices
- Creating financial indicators with price, equal and price weight
- Create custom technical indicators – push movement, point and shape, and more
- Create trading strategies with technical indicators
- Explore stock statistics with peer analysis, rate of return and heat map
- Find the best and worst performing months for any global instrument
- Create your own stock screen
- Create your own web-based Candlestick Pattern Viewer (Flask).
- Pattern trading with buy low and sell high strategies
- Portfolio analysis with Pifolio
- Create interactive data applications with streamlit
- and many more…
Why you should listen to me: In my career, I have developed a broad level of expertise and experience in both finance and coding. Python and Pandas:
- My existing companies used Python-based models and algorithms extensively
- Code, models, and workflows are proven by real-world projects
I look forward to meeting you in the course! Lets start!
What you will learn in the Python for Financial Markets Analysis course
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Create interactive data applications with Streamlit
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Simple to advance practical time series analysis
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Create trading strategies with technical indicators signals
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Pattern trading with buy low and sell high strategies
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Create a stock display
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Create a web-based candlestick pattern viewer (Flask).
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Calculate return, risk, correlation and rollover statistics for stocks, indices and portfolios
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Creating financial indicators with price, equal and price weight
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Portfolio analysis with Pifolio
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Finding highs and lows in time series
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Get more than 40 technical indicators and create custom indicators
This course is suitable for people who
- This course is designed for anyone interested in using AI tools like ChatGPT and more to create amazing content, regardless of background or experience.
- Whether you are an entrepreneur, student, professional or just a curious learner, this course is accessible, engaging and empowering for everyone.
- Anyone who wants to explore the world of financial markets
- Anyone who wants to move from Excel to Python
- Anyone who wants to get into financial data science by learning Pandas and more
- Anyone who wants to learn how to perform time series analysis on any global financial market instrument. For example stocks, indices, cryptocurrencies and more
- Anyone who wants to learn how to code and put their skills into practice in the financial world
Details of the Python for Financial Markets Analysis course
- Publisher: Udemy
- teacher: Adnan Waheed
- Training level: beginner to advanced
- Training duration: 18 hours and 49 minutes
- Number of courses: 120
Course headings
Python for Financial Markets Analysis course prerequisites
- No specific finance knowledge needed!
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
7.3 GB
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