Using an artificial intelligence-like algorithm I am trying to estimate prices for key indexes.
The algorithm is based on pattern matching relative to the change in price; the index itself along with its MACD; its RSI and its BollingerBands patterns.
Using a complete history of the selected index find all similar price change patterns.
Using the matching patterns; place each in a relative positional price change group.
Determine the possibilities for each price change group to occur again.
Computer the average price change (weighed by the group occurrence count) to estimate a possible price change.