From c245a2a897afe67f7e40c7a668deb0a7e660a2d9 Mon Sep 17 00:00:00 2001 From: flozzone <flozzone@gmail.com> Date: Mon, 22 Nov 2021 20:10:26 +0100 Subject: [PATCH] fix typo in Volatility filter description. --- docs/includes/pairlists.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/includes/pairlists.md b/docs/includes/pairlists.md index 4f56f8e98..bbfe74510 100644 --- a/docs/includes/pairlists.md +++ b/docs/includes/pairlists.md @@ -292,7 +292,7 @@ If the trading range over the last 10 days is <1% or >99%, remove the pair from #### VolatilityFilter -Volatility is the degree of historical variation of a pairs over time, is is measured by the standard deviation of logarithmic daily returns. Returns are assumed to be normally distributed, although actual distribution might be different. In a normal distribution, 68% of observations fall within one standard deviation and 95% of observations fall within two standard deviations. Assuming a volatility of 0.05 means that the expected returns for 20 out of 30 days is expected to be less than 5% (one standard deviation). Volatility is a positive ratio of the expected deviation of return and can be greater than 1.00. Please refer to the wikipedia definition of [`volatility`](https://en.wikipedia.org/wiki/Volatility_(finance)). +Volatility is the degree of historical variation of a pairs over time, it is measured by the standard deviation of logarithmic daily returns. Returns are assumed to be normally distributed, although actual distribution might be different. In a normal distribution, 68% of observations fall within one standard deviation and 95% of observations fall within two standard deviations. Assuming a volatility of 0.05 means that the expected returns for 20 out of 30 days is expected to be less than 5% (one standard deviation). Volatility is a positive ratio of the expected deviation of return and can be greater than 1.00. Please refer to the wikipedia definition of [`volatility`](https://en.wikipedia.org/wiki/Volatility_(finance)). This filter removes pairs if the average volatility over a `lookback_days` days is below `min_volatility` or above `max_volatility`. Since this is a filter that requires additional data, the results are cached for `refresh_period`.