In a previous post, we demonstrated the mean-reverting and trending properties of SP500. We subsequently developed a trading system based on the mean-reverting behavior of the index. In this installment, we will develop a trend-following trading strategy.
http://tech.harbourfronts.com/trend-following-trading-system-quantitative-trading-in-python/
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In a previous post, we demonstrated the mean-reverting and trending properties of SP500. We subsequently developed a trading system based on the mean-reverting behavior of the index. In this installment, we will develop a trend-following trading strategy.
http://tech.harbourfronts.com/trend-following-trading-system-quantitative-trading-in-python/
Forecasting Volatility With GARCH Model-Volatility Analysis in Python
Harbourfront Technologies
1 minute 59 seconds
5 years ago
Forecasting Volatility With GARCH Model-Volatility Analysis in Python
In a previous post, we presented an example of volatility analysis using Close-to-Close historical volatility. In this post, we are going to use the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model to forecast volatility.
http://tech.harbourfronts.com/trading/forecasting-volatility-garch-model-volatility-analysis-python/
Harbourfront Technologies
In a previous post, we demonstrated the mean-reverting and trending properties of SP500. We subsequently developed a trading system based on the mean-reverting behavior of the index. In this installment, we will develop a trend-following trading strategy.
http://tech.harbourfronts.com/trend-following-trading-system-quantitative-trading-in-python/
