A financial deep learning library for stocks price prediction and comparison with traditional investment strategies. The Library is based on LSTM-Neural Networks and Conv1D + LSTM Neural Networks.If you use this software, please cite it as below
With the development of the artificial intelligence, the application of machine learning in finance ...
Accurate stock market prediction is highly desirable to corporations and investors. In this study a ...
Predicting the direction of the stock market has always been a huge challenge. Also, the way of fore...
A financial deep learning library for stocks price prediction and comparison with traditional invest...
Stock market data is considered to be one of the chaotic data in nature. Analyzing the stock market ...
What's New? Released DOI for the preservation of intellectual property rights. Easy citation for u...
Abstract: The movement of stock prices is non-linear and complicated. In this study, we compared and...
Accurate prediction of stock prices plays an increasingly prominent role in the stock market where r...
This research explores the application of four deep learning architectures—Multilayer Perceptron (ML...
Everyday millions of shares trade, with an overall value of a few hundred million. This is due to st...
The challenging task of predicting stock value need a solid algorithmic framework to determine longe...
Stock price estimates are a complex task that requires a strong algorithm to calculate long-term pri...
Stock Price Prediction has become an important area of research for such a very long time. A lot of ...
In today’s society, investment wealth management has become a mainstream of the contemporary era. In...
Stock marketplace is a complicated and demanding system in which people make more money or lose thei...
With the development of the artificial intelligence, the application of machine learning in finance ...
Accurate stock market prediction is highly desirable to corporations and investors. In this study a ...
Predicting the direction of the stock market has always been a huge challenge. Also, the way of fore...
A financial deep learning library for stocks price prediction and comparison with traditional invest...
Stock market data is considered to be one of the chaotic data in nature. Analyzing the stock market ...
What's New? Released DOI for the preservation of intellectual property rights. Easy citation for u...
Abstract: The movement of stock prices is non-linear and complicated. In this study, we compared and...
Accurate prediction of stock prices plays an increasingly prominent role in the stock market where r...
This research explores the application of four deep learning architectures—Multilayer Perceptron (ML...
Everyday millions of shares trade, with an overall value of a few hundred million. This is due to st...
The challenging task of predicting stock value need a solid algorithmic framework to determine longe...
Stock price estimates are a complex task that requires a strong algorithm to calculate long-term pri...
Stock Price Prediction has become an important area of research for such a very long time. A lot of ...
In today’s society, investment wealth management has become a mainstream of the contemporary era. In...
Stock marketplace is a complicated and demanding system in which people make more money or lose thei...
With the development of the artificial intelligence, the application of machine learning in finance ...
Accurate stock market prediction is highly desirable to corporations and investors. In this study a ...
Predicting the direction of the stock market has always been a huge challenge. Also, the way of fore...
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