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Latest papers without code

News-Driven Stock Prediction Using Noisy Equity State Representation

1 Jan 2021

News-driven stock prediction investigates the correlation between news events and stock price movements.

STOCK PREDICTION

Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA

26 Aug 2020

To improve the prediction of share price for aerospace industry sector and well understand the impact of various indicators on stock prices, we provided a hybrid prediction model by the combination of Principal Component Analysis (PCA) and Recurrent Neural Networks.

STOCK PREDICTION

Stock Index Prediction with Multi-task Learning and Word Polarity Over Time

17 Aug 2020

We adopt BERT with multitask learning which additionally predicts the worthiness of the news and propose a metric called Polarity-Over-Time to extract the word polarity among different event periods.

MULTI-TASK LEARNING STOCK PREDICTION

Online Prediction With History-Dependent Experts: The General Case

31 Jul 2020

We consider the problem with history-dependent experts, in which each expert uses the previous $d$ days of history of the market in making their predictions.

STOCK PREDICTION

A PDE Approach to the Prediction of a Binary Sequence with Advice from Two History-Dependent Experts

24 Jul 2020

Compared to other recent applications of partial differential equations to prediction, ours has a new element: there are two timescales, since the recent history changes at every step whereas regret accumulates more slowly.

STOCK PREDICTION

A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News

23 Jul 2020

This paper proposes to use sentiment analysis to extract useful information from multiple textual data sources and a blending ensemble deep learning model to predict future stock movement.

SENTIMENT ANALYSIS STOCK PREDICTION TIME SERIES

Experimental evaluation of quantum Bayesian networks on IBM QX hardware

26 May 2020

Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference.

STOCK PREDICTION

Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction

11 May 2020

However, it is well known that an individual stock price is correlated with prices of other stocks in complex ways.

STOCK PREDICTION

News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition

4 Apr 2020

Thanks to the use of attention over news events, our model is also more explainable.

STOCK PREDICTION

From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations

26 Jan 2020

We present a method to automatically identify financially relevant news using stock price movements and news headlines as input.

STOCK PREDICTION STOCK PRICE PREDICTION