Stock Trend Prediction

10 papers with code • 1 benchmarks • 2 datasets

This task has no description! Would you like to contribute one?

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework

alphafin-proj/alphafin 19 Mar 2024

The task of financial analysis primarily encompasses two key areas: stock trend prediction and the corresponding financial question answering.

4
19 Mar 2024

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model

jinanzou/astock 14 Jun 2022

In addition, we propose a self-supervised learning strategy based on SRLP to enhance the out-of-distribution generalization performance of our system.

184
14 Jun 2022

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

microsoft/qlib 11 Jan 2022

To handle concept drift, previous methods first detect when/where the concept drift happens and then adapt models to fit the distribution of the latest data.

14,021
11 Jan 2022

Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction

lixiaojieff/HGTAN 22 Jul 2021

Extensive experiments on real-world data demonstrate the effectiveness of our approach.

46
22 Jul 2021

Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading

Zhihan1996/TradeTheEvent Findings (ACL) 2021

In this paper, we introduce an event-driven trading strategy that predicts stock movements by detecting corporate events from news articles.

87
26 May 2021

Recurrent Highway Networks with Grouped Auxiliary Memory

WilliamRo/gam_rhn IEEE Access 2019

In this paper, we address these issues by proposing a novel RNN architecture based on RHN, namely the Recurrent Highway Network with Grouped Auxiliary Memory (GAM-RHN).

20
13 Dec 2019

Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network

maobubu/stock-prediction 15 Nov 2018

Stock market prediction is one of the most attractive research topic since the successful prediction on the market's future movement leads to significant profit.

36
15 Nov 2018

Stock Movement Prediction from Tweets and Historical Prices

yumoxu/stocknet-dataset ACL 2018

Stock movement prediction is a challenging problem: the market is highly stochastic, and we make temporally-dependent predictions from chaotic data.

523
01 Jul 2018

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction

gkeng/Listening-to-Chaotic-Whishpers--Code 6 Dec 2017

Stock trend prediction plays a critical role in seeking maximized profit from stock investment.

55
06 Dec 2017

Stock trend prediction using news sentiment analysis

nicklamonica/stock-sentiment-analysis 7 Jul 2016

The accuracy of the prediction model is more than 80% and in comparison with news random labeling with 50% of accuracy; the model has increased the accuracy by 30%.

7
07 Jul 2016