Stock Market Prediction
41 papers with code • 3 benchmarks • 4 datasets
Libraries
Use these libraries to find Stock Market Prediction models and implementations
StockNet
Latest papers with no code
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction
This promising outcome suggests that our approach effectively addresses the challenges of stock market prediction while incorporating vital risk considerations.
Do Weibo platform experts perform better at predicting stock market?
Sentiment analysis can be used for stock market prediction.
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
We prove the regret and communication bounds on the algorithm.
Enhancing Financial Data Visualization for Investment Decision-Making
Navigating the intricate landscape of financial markets requires adept forecasting of stock price movements.
Feature selection and regression methods for stock price prediction using technical indicators
The RISF method also improved 72. 82 % of Ridge regression.
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
Financial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making.
Identifying Trades Using Technical Analysis and ML/DL Models
The importance of predicting stock market prices cannot be overstated.
A Comparative Predicting Stock Prices using Heston and Geometric Brownian Motion Models
This paper presents a novel approach to predicting stock prices using technical analysis.
Stock Market Prediction via Deep Learning Techniques: A Survey
Existing surveys on stock market prediction often focus on traditional machine learning methods instead of deep learning methods.
Stock Market Prediction using Natural Language Processing -- A Survey
The stock market is a network which provides a platform for almost all major economic transactions.
