QuantInsti – Financial Time Series Analysis for Trading

QuantInsti – Financial Time Series Analysis for Trading  LIVE TRADING Explain the basics of time series and its componentsLearn about simple, cumulative and log returns.Apply linear and multivariate regression on stock prices.Apply correlation analysis on various securities and explain the intuition behind ACF and PACF, as well as plot them in python.Explain types of noise and residuals. Define stationarity and list its properties.Describe and implement AR, MA, ARMA, ARIMA, SARIMA, ARCH and GARCH models.Explain the importance of volatility and its stylised facts. Learn about the limitations of time series analysis and learn how to enhance your model.Backtest and live trade time series models on financial markets data and implement all the concepts learned in a capstone project.