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Basic Python in Finance - How to Implement Financial Trading Strategies and Analysis using Python - cover
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Basic Python in Finance - How to Implement Financial Trading Strategies and Analysis using Python

Bob Mather

Narrator Jack Lipski

Publisher: Abiprod Pty Ltd

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Summary

Are you looking to automate your trading strategy? Are you looking for a more efficient way of completing your financial analysis? 
Python is the answer. 
While looking to gain summarize our knowledge on the subject, we realized that there was a lot of information available in books and the internet. However, there seemed to be too much information. There were 500-page textbooks on the subject that had very little practical use. They were pretty useless for beginners just like a dictionary is useless for anyone trying to learn a language. All these books had tons of theory with no step-by-step guide. 
There were a whole bunch of other blogs that had basic programming information with no relation to financial strategies. 
With this in mind, this book starts you off with a step-by-step guide to install Python on your computer; and plot/visualize relevant financial data. Later in the book, you can build on your basic knowledge to learn more about advanced financial analysis and trading strategies to move forward. This book is what you’ve been looking for.Here’s What’s Included In this Book:5 Reasons why Python is the best programming language for implementing financial trading strategies4 Basic Trading Strategies for Success that most people have forgottenThe Importance of Time Series Data in Trading AnalysisStep-by-Step Guide to Setting up your Python workspaceHow to Import Time Series Data from Global Databases into Python4 Different Methods and Examples to Analyze Data with Python PandasThe Best Python Methods to Visualize Data to make Effective Decisions4 Common Python Financial Analysis tools to decide which securities to invest in5 Trading Strategies to forecast market trends 
Even if you have never touched a computer in your life so far, you will gain a lot from this book.
Duration: about 3 hours (03:04:18)
Publishing date: 2020-01-01; Unabridged; Copyright Year: — Copyright Statment: —