Hi everyone,
I have a daily, hourly, and weekly dataset of a stock chart that consists of date and price.
I would like to develop a program that takes some part of the daily dataset for example (for example 20 days) and finds similar charts in hourly, daily, weekly, etc datasets for me. What I mean by similar is the shape of the chart, not the prices. For example, we may have the same pattern in $10-$100 as the $800-$1500. I think it's about the computer vision field.
I actually look for fractals in the charts, self-similar data. Cause I believe what's going on now, somewhere happened before.
I hope I explained my purpose clearly.
Could anyone please recommend appropriate tools to use or any good introductory books/websites/tutorials?
Thank You