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PythonForFinancialAnalysis
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Learn backtesting with Python and Pandas.
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Project README
Build And Evaluate Investment Strategies With Python
Backtesting Your Investment Strategy with Python
How this works
There are two options
Download all Notebooks and follow the eBook
Open the Notebooks directly using links to Colab
Option 1
Get the eBook:
https://lpwr-academy.teachable.com/p/python-backtesting-your-investment-strategy
You need Anaconda (with Jupyter Notebook and Python) installed (instructions on course page)
Option 2
Get the eBook:
https://lpwr-academy.teachable.com/p/python-backtesting-your-investment-strategy
No installations needed
Click the corresponding link to open the Notebook in Colab.
00 - Pandas DataFrames
01 - Read from API
02 - Visualize DataFrames
03 - Buy and Hold
04 - Volatility
05 - Correlation
06 - A Simple Portfolio
07 - The Asset-Hedge Split
08 - Backtesting an Active Strategy
09 - Backtesting Another Strategy
Open Source Agenda is not affiliated with "PythonForFinancialAnalysis" Project. README Source:
LearnPythonWithRune/PythonForFinancialAnalysis
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Last Commit
1 year ago
Tags
Backtesting Trading Strategies
Curse
Financial
Financial Analysis
Jupyter Notebook
Numpy
Pandas
Python
Stock Price Prediction
Stocks
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