/quantic-data-science-foundations

Primary LanguageJupyter Notebook

Quantic Data Science Foundations - Capstone Project

Data Sources

https://www.slickcharts.com/sp500

Stock Index ETFs

Symbol Name
SPY S&P 500 ETF
QQQ Nasdaq 100 ETF
DIA Dow Jones ETF
ONEQ Nasdaq Comp ETF

Creating ML models for stock price prediction

The following command will get the stock symbols from what the portfolio that has been built. The output will be a text file containing the arguments requiered for a python program to build the ML model for predicting future stock prices.

for symbol in $(awk -F ',' '{print $1}' data/portfolio.csv); do 

echo "python ml.py --symbol $symbol --period1 $period1 --period2 $period2 --interval $interval" >> jobs.txt

done
Execute Python jobs

Note: Make sure the correct Python environment is being used in your shell session. The quantic.yml file contains all libraries required to build the ML modles for each stock.

while IFS= read -r job; do 
    eval $job; 
done < jobs.txt