Machine Learning Volatility Model designed to forecast the volatility of the next bar in ticks. This model can be used to identify abrupt changes in implied versus actual volatility.

This can aid in better timing of entries and exits, assist in optimal tightening of trailing stops, and assist in determining regime shifts to avoid overtrading.

This model can also used as a quantitative tool when trading around significant news events, used in conjunction with break out and mean reversion trading.

This model is designed specifically for 3 min samples (i.e. candles, numbers bars,etc).

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Updates and improved versions of this model is included with this subscription.

This version of the model integrates directly into Sierra Charts.

At sign-up you will need a valid Sierra Charts account. This model is valid across all Sierra Charts package options.