Search Results for author:
Found 8 papers, 5 papers with code
Financial Vision Based Reinforcement Learning Trading Strategy
Hence, we need to ask about the AI "black box", including why did AI decide to do this or not?
Dynamic Deep Convolutional Candlestick Learner
However, with the great potential of the GAF encoding, this classification task can be extended to a more complicated object detection level.
Financial Vision Based Differential Privacy Applications
We apply two representative deep learning privacy-privacy frameworks proposed by Google to financial trading data.
Adversarial Robustness of Deep Convolutional Candlestick Learner
Deep learning (DL) has been applied extensively in a wide range of fields.
Data Augmentation for Deep Candlestick Learner
To successfully build a deep learning model, it will need a large amount of labeled data.
Explainable Deep Convolutional Candlestick Learner
Candlesticks are graphical representations of price movements for a given period.
Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks
The second step uses the Convolutional Neural Network (CNN) with the GAF images to learn eight critical kinds of candlestick patterns.
Computational Engineering, Finance, and Science
Predict Forex Trend via Convolutional Neural Networks
A trading model is obtained with this approach to help devise trading strategies.
Computational Engineering, Finance, and Science Computational Finance
