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Filters (kalman, hodrick-prescott, moving average) together with comparison and sensitivity analysis (in notebook filters_with_parameters)+var analysis and granger causality test. Test for random walk (CE currencies using yfinance API)
Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.
In this project I have analyzed local and global temperature data and compare the temperature trends where I live (Amsterdam) to overall global temperature trends.
I AM NOT A DAYTRADER (i just did this to learn the code) You know those girls who only talk about zodiac signs? I have more faith in their quantitative ability than i do 4 guys who use technical analysis for anything besides understanding market behavior & implementing their own personal strategy to mitigate the risk of emotional trading decisions