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This repository contains my Financial Derivates course content with implementation in Python on stocks containing Portfolio Optimization, technical analysis, operations on series and dataframes, grouping, aggregations, time series, trends and visualization (Using numpy, pandas, matplotlib etc).

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AitzazTahirCh/Financial-Derivates-Python

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001 - The Series _Session 1_.ipynb
001 - The Series _Session 1_.ipynb
 
 
002 - The DataFrame _Session 2_.ipynb
002 - The DataFrame _Session 2_.ipynb
 
 
003 - Arithmetic on Series and DataFrame.ipynb
003 - Arithmetic on Series and DataFrame.ipynb
 
 
003 - S_P500 DataFrame _Session 3_.ipynb
003 - S_P500 DataFrame _Session 3_.ipynb
 
 
005 - Grouping and Aggregating (Session 5).ipynb
005 - Grouping and Aggregating (Session 5).ipynb
 
 
006 - Time Series and DateTimeIndex (Session 6).ipynb
006 - Time Series and DateTimeIndex (Session 6).ipynb
 
 
007 - Time_Series .ipynb
007 - Time_Series .ipynb
 
 
AMZN.csv
AMZN.csv
 
 
AitzazTahirCh_MuhammadAbeer_FD_Assignment_03.ipynb
AitzazTahirCh_MuhammadAbeer_FD_Assignment_03.ipynb
 
 
AitzazTahirCh_MuhammadAbeer_FD_Assignment_04(Portfolio Optimization).ipynb
AitzazTahirCh_MuhammadAbeer_FD_Assignment_04(Portfolio Optimization).ipynb
 
 
Amazon-2020.png
Amazon-2020.png
 
 
GOOG.csv
GOOG.csv
 
 
Portfolio Optimization - A.ipynb
Portfolio Optimization - A.ipynb
 
 
README.md
README.md
 
 
Technical Analysis - 1.ipynb
Technical Analysis - 1.ipynb
 
 
Untitled.ipynb
Untitled.ipynb
 
 
aapl.csv
aapl.csv
 
 
aapl_options.csv
aapl_options.csv
 
 
djia.csv
djia.csv
 
 
ewm.png
ewm.png
 
 
msft.csv
msft.csv
 
 
sp500.csv
sp500.csv
 
 
trends_report_debt.csv
trends_report_debt.csv
 
 

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Financial-Derivates-Python

This repository contains my Financial Derivates course content with implementation in Python on stocks containing Portfolio Optimization, technical analysis, operations on series and dataframes, grouping, aggregations, time series, trends and visualization (Using numpy, pandas, matplotlib etc).

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This repository contains my Financial Derivates course content with implementation in Python on stocks containing Portfolio Optimization, technical analysis, operations on series and dataframes, grouping, aggregations, time series, trends and visualization (Using numpy, pandas, matplotlib etc).

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python numpy pandas matplotlib stocks financial-derivatives

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