Update README.md

README.md

@@ -1,5 +1,21 @@
 ---
 license: apache-2.0
+task_categories:
+- tabular-classification
+- tabular-regression
+tags:
+- NYSE
+- options
+- calls
+- puts
+- sp500
+- volatility
+- implied volatility
+- vix
+- IV
+pretty_name: USA options implied volatility features for machine learning
+size_categories:
+- 1M<n<10M
 ---
 The dataset provided includes a variety of features and targets. In machine learning and predictive modeling, features are the input variables used to predict target variables, or the outcomes we're interested in predicting.
 
@@ -41,4 +57,4 @@ Features
 
 Possible targets:
 
-- `DITM_IV`, `ITM_IV`, `sITM_IV`, `ATM_IV`, `sOTM_IV`, `OTM_IV`, `DOTM_IV`: These are implied volatilities (IV) for different categories of options: Deep-In-The-Money (DITM), In-The-Money (ITM), Slightly-In-The-Money (sITM), At-The-Money (ATM), Slightly-Out-Of-The-Money (sOTM), Out-Of-The-Money (OTM), Deep-Out-Of-The-Money (DOTM). Implied volatility is a metric that captures the market's view of the likelihood of changes in a given security's price.
+- `DITM_IV`, `ITM_IV`, `sITM_IV`, `ATM_IV`, `sOTM_IV`, `OTM_IV`, `DOTM_IV`: These are implied volatilities (IV) for different categories of options: Deep-In-The-Money (DITM), In-The-Money (ITM), Slightly-In-The-Money (sITM), At-The-Money (ATM), Slightly-Out-Of-The-Money (sOTM), Out-Of-The-Money (OTM), Deep-Out-Of-The-Money (DOTM). Implied volatility is a metric that captures the market's view of the likelihood of changes in a given security's price.