Web Application that uses algorithms to automatically identify patterns on financial charts.

Shakur Duale


Supervised by Federico Liberatore; Moderated by Parisa Eslambolchilar

My final project proposal is a web application that uses custom algorithms to identify candlestick patterns on financial charts while also teaching users what they are and how each pattern works.

Candlestick patterns are an essential tool in trading any financial market. Therefore, a solution like this would be educational and help newer traders be more successful and also save time for veteran traders who are analysing charts manually.

A lot of potential features are still undecided.

Initial Plan (07/02/2022) [Zip Archive]

Final Report (13/05/2022) [Zip Archive]

Publication Form