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Python for Trading and Finance
Rating: 4.4 out of 5(131 ratings)
6,022 students

Python for Trading and Finance

Unleash the power of Python and get your skills to the next level.
Created byGenbox Trading
Last updated 6/2022
English

What you'll learn

  • Learn how to analyze Time-Series for any security.
  • How to download historical data using yfinance.
  • How to extract relevant metrics of any asset.
  • Intermarket Analysis.

Course content

1 section • 10 lectures • 51m total length

  • Introduction0:53
  • Getting Historical Data5:47

    Fetch ten years of historical data for the SPY ETF in Google Colab using yfinance and pandas, download it, and plot the results.

  • Returns Analysis9:36

    Analyze stock returns using mean and standard deviation, plot returns to distinguish normal and volatile market days, and compute open-to-open returns for SPY over ten years.

  • Returns Distribution5:15

    Explore returns distribution through histogram charts to visualize the frequency and fat tails of market returns. Learn how independent probabilities and market regimes shape expected daily moves and extreme events.

  • Volatility Analysis5:34

    Analyze volatility by creating a volatility column and comparing yesterday's volatility to its mean. Compare high and low volatility scenarios to their average returns in day trading.

  • Technical Analysis Indicators7:26
  • Backtesting Simple Strategies6:50

    Backtest simple trading strategies using RSI and moving averages, code a one-line test, and compare profitability across stocks while iterating indicators like RSI thresholds of 30, 50, and 70.

  • Correlation Analysis6:04
  • SPY TLT Intermarket Strategy3:34

    Explore a SPY-TLT intermarket trading strategy in python for trading and finance, using correlation signals during distress to generate trading signals, plot cumulative returns, and test a 50-period indicator threshold.

  • What's next0:49

Requirements

  • None.

Description

Enter the world of Data Analysis applied to publicly traded assets with this free course.


Do you understand how your favorite stock behaves over time? And what about its risks and distribution?


Now you can.


While some traders and Investors will never be able to test their strategies and get to understand the key metrics of any asset you are going to learn how to do that and more using Python.


Anything from risks to expected returns, any data we can extract from a time series is going to give us some valuable insights and information.


You are about to gain knowledge on a wide range of skills related to Finance and Trading, from plotting, creating technical analysis Indicators, backtesting trading strategies with a few lines of code and how to take advantage of correlations.


At the end of this course you are going to know the basics on Python, making you ready to take our other courses on this platform on Machine Learning and Data Mining and profit from them.


Contents of this course:


  • How to download Historical Data from Yahoo Finance.

  • How to plot Data.

  • Basic metrics of securities.

  • Technical Analysis Indicators.

  • Backtest Simple Strategies.

  • Correlations.

  • Intermarket Analysis.


We hope you enjoy this course.


Genbox Trading.


Who this course is for:

  • Traders and programmers who want to improve their trading and investing.

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