Stock Movement and Volatility Prediction from Tweets, Macroeconomic
Factors and Historical Prices

Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices

4 December 2023

Shengkun Wang

ArXiv (abs)PDF HTML

Papers citing "Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices"

5 / 5 papers shown

Title
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting H. Tang Lijun Wu Weiqing Liu Jiang Bian AIFin 33 4 0 11 Dec 2020
Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model Hyeong Kyu Choi AIFin 33 50 0 05 Aug 2018
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction Ziniu Hu Weiqing Liu Jiang Bian Xuanzhe Liu Tie-Yan Liu 47 308 0 06 Dec 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 823 39,255 0 09 Mar 2016
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,414 0 03 Jun 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.