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Latest papers without code

Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction

10 Jan 2021

The results show that the prediction error value only partially reflects the model accuracy of the stock price prediction, and cannot reflect the change in the direction of the model predicted stock price.

STOCK PRICE PREDICTION

Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction

18 Dec 2020

We show the effectiveness of our method by conducting experiments on real market data.

STOCK PRICE PREDICTION

Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models

7 Nov 2020

Prediction of stock price and stock price movement patterns has always been a critical area of research.

STOCK PRICE PREDICTION TIME SERIES

Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models

22 Oct 2020

In this approach, the open values of the NIFTY 50 index are predicted on a time horizon of one week, and once a week is over, the actual index values are included in the training set before the model is trained again, and the forecasts for the next week are made.

STOCK PRICE PREDICTION

Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network

29 Sep 2020

We have proposed to develop a global hybrid deep learning framework to predict the daily prices in the stock market.

REPRESENTATION LEARNING STOCK PRICE PREDICTION

Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models

20 Sep 2020

In this work, we propose an approach of hybrid modeling for stock price prediction building different machine learning and deep learning-based models.

STOCK PRICE PREDICTION TIME SERIES

Towards Earnings Call and Stock Price Movement

23 Aug 2020

Earnings calls are hosted by management of public companies to discuss the company's financial performance with analysts and investors.

STOCK PRICE PREDICTION

Deep Stock Predictions

8 Jun 2020

Forecasting stock prices can be interpreted as a time series prediction problem, for which Long Short Term Memory (LSTM) neural networks are often used due to their architecture specifically built to solve such problems.

PORTFOLIO OPTIMIZATION STOCK PRICE PREDICTION TIME SERIES TIME SERIES PREDICTION

A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models

17 Apr 2020

We contend that the agglomerative approach of model building that uses a combination of statistical, machine learning, and deep learning approaches, can very effectively learn from the volatile and random movement patterns in a stock price data.

STOCK PRICE PREDICTION TIME SERIES TIME SERIES ANALYSIS

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