Python for Financial Analysis & Algorithmic Trading



what did you learn

  • Use NumPy to work quickly with numerical data.
  • Use Panda to analyze and visualize data.
  • Use Matplotlib to create a custom schema.
  • Learn how to use a statistical model for time series analysis.
  • Calculate financial metrics, such as daily returns, total returns, flows, etc.
  • Use a lightweight moving average.
  • Use the ARIMA model on time series data.
  • Calculate the quick ratio.
  • Improved portfolio customization
  • Understand capital goods pricing models.
  • Learn more about the efficient market hypothesis
  • Quantopian Algorithmic Trade Management

needs

Some programming knowledge (Python preferred)
Ability to download Anaconda (Python) on your PC
Basic statistics and line algebra are useful.

Description

Welcome to Python for financial analysis and algorithmic trading! If you are interested in how people use Python for rigorous financial analysis and algorithmic trading, this is the course for you!

This course tells you everything you need to know to use Python for financial and algorithmic trading! We will start by learning the basics of Python and then move on to learning about the various basic libraries used in the Py-Finance ecosystem, including Jupyter, Numpy, Pandas, Matplotlib, Statsmodels, Zipline, Quantopian and A lot is involved.

 We cover the following topics used by financial experts:


Basics of Python
NumPy for fast digital processing
Panda for efficient data analysis
Matplotlib for data visualization
Use Panda and Quandal Data Reader to collect data
Pandas Time Series Analytical Techniques
Inventory Return Analysis
Total daily return.
Securities liability and risk
EWMA (Detailed Moving Average)
Statistical models
ETS (according to error trend)
Erima (Automatic Regression Integrated Moving Average)
Self chart and partial self chart
Specific proportions
Improved vault customization
Effective threshold and marquee correction
Types of funds
Arrangement of books
Short sale
Capital Asset Value Form
Distribution of stock and profits
Performance market assumption
Algorithmic trading with Quantopian
Future trade

This course is for everyone:

Someone who is familiar with Python and wants to know about financial analysis!

Here is the download links

https://www.udemy.com/course/python-for-finance-and-trading-algorithms/
https://drive.google.com/file/d/1RG7NVMNJyAL_7T-I2hnZD2U7SZFWsxL8/view?usp=sharing

* If your in trouble watch the video thanks! *


Torrent software for windows -> Torrent Downloader

you can join over whats app group ->  FREE COURSES 2022

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