Deep-Convolution-Stock-Technical-Analysis

Deep-Convolution-Stock-Technical-Analysis

philipxjm

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

neural-network
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623 Stars
172 Forks
623 Watchers
Python Language
apache-2.0 License
100 SrcLog Score
Cost to Build
$3.26M
Market Value
$7.90M
How is this calculated?

Growth over time

8 data points  ·  2021-08-01 → 2026-04-01
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What is the philipxjm/Deep-Convolution-Stock-Technical-Analysis GitHub project? Description: "Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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