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"img_candles" is a project utilizing Convolutional Neural Networks (CNN) for classifying financial graphs. It investigates CNN's potential to understand 'candlestick' patterns and predict market trends. The repository offers a deep dive into the methodology, backed by relevant resources and discussions.

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img_candles

Image Candles is a LAMFO project that used Convolutional Neural Networks (CNN) for Image Classification. Please check the article that based and originated all of the discussions here contained. An attempt was made to train the neural network in images such as the following:

AAL_weekly_from_2008-12-05_to_2009-03-13

This is a 'candlestick' graph that represents price variations of American Airlines Group Inc between 2008-12-05 and 2009-03-13. It is widely known that graphical analysis plays an important role in different types of markets, in a sense that some agents influence their decisions by signals solely given in the patterns found in this kinds of plots. The motivation for this project is that a CNN could possibly learn this graphical patterns that influence decisions, and predict price variations better than a human.

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"img_candles" is a project utilizing Convolutional Neural Networks (CNN) for classifying financial graphs. It investigates CNN's potential to understand 'candlestick' patterns and predict market trends. The repository offers a deep dive into the methodology, backed by relevant resources and discussions.

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