1 Stock price prediction using Generative Adversarial Networks
- Author: thescipub.com
- Published: 05/26/2022
- Review: 4.94 (993 vote)
- Summary: · In addition, FinBert has been utilized to generate a news sentiment index for Apple Inc. as an additional predicting feature. Finally, this
- Detail: https://thescipub.com/abstract/jcssp.2021.188.196
2 Stock Price Forecasting by a Deep Convolutional Generative
- Author: frontiersin.org
- Published: 04/29/2022
- Review: 4.7 (476 vote)
- Summary: · Stock market prices are known to be very volatile and noisy, and their accurate forecasting is a challenging problem
- Detail: https://www.frontiersin.org/articles/10.3389/frai.2022.837596/full
3 Time series forecasting | TensorFlow Core
- Author: tensorflow.org
- Published: 10/23/2021
- Review: 4.49 (333 vote)
- Summary: The simplest model you can build on this sort of data is one that predicts a single feature’s value—1 time step (one hour) into the future based only on the
- Detail: https://www.tensorflow.org/tutorials/structured_data/time_series
4 Multi-Model Generative Adversarial Network Hybrid Prediction
- Author: sciencedirect.com
- Published: 12/09/2021
- Review: 4.33 (549 vote)
- Summary: · Prediction of stock price movement using stock market data is non-trivial. By IanGoodfellow and his colleagues in 2014, a class of machine
- Detail: https://www.sciencedirect.com/science/article/pii/S1319157821001683
5 Stock price prediction using BERT and GAN – 知乎专栏
- Author: zhuanlan.zhihu.com
- Published: 02/09/2022
- Review: 4.06 (201 vote)
- Summary: · Stock price prediction using BERT and GAN Priyank Sonkiya, Vikas Bajpai, Anukriti Bansal The stock market has been a popular topic of
- Detail: https://zhuanlan.zhihu.com/p/508001694
6 An Integrated Machine Learning Framework for Stock Price Prediction
- Author: dl.acm.org
- Published: 11/16/2021
- Review: 3.81 (579 vote)
- Summary: The Feature Engineering module extract multiple features using technical indicators, FinBERT, FFT, ARIMA, stacked auto-encoder, PCA and XGBoost. The Regressor
- Detail: https://dl.acm.org/doi/abs/10.1007/978-3-030-56725-5_8
7 [PDF] A New Stock Price Forecasting Method Using Active Deep Learning
- Author: mdpi.com
- Published: 03/19/2022
- Review: 3.63 (586 vote)
- Summary: · The GAN model has been compared with the LSTM,. Artificial Neural Network (ANN), and Support Vector Regression (SVR); multiple metrics have been
- Detail: https://www.mdpi.com/2199-8531/8/2/96/pdf
8 Using the latest advancements in deep learning to predict stock
- Author: towardsdatascience.com
- Published: 07/31/2022
- Review: 3.48 (583 vote)
- Summary: · For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a
- Detail: https://towardsdatascience.com/aifortrading-2edd6fac689d
9 Saeed on Twitter: “Stock price prediction using BERT and GAN https
- Author: twitter.com
- Published: 11/05/2021
- Review: 3.36 (391 vote)
- Summary: Stock price prediction using BERT and GAN https://arxiv.org/abs/2107.09055 #QuantLinkADay. Image. 12:00 PM · Jul 29, 2021·TweetDeck
- Detail: https://twitter.com/saeedamenfx/status/1420715740093550592