AIMC Topic: Investments

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Using Kernel Method to Include Firm Correlation for Stock Price Prediction.

Computational intelligence and neuroscience Apr 5, 2022
In this work, we propose AGKN (attention-based graph learning kernel network), a novel framework to incorporate information of correlated firms of a target stock for its price prediction in an end-to-end way. We first construct a stock-axis attention...
Neural Networks, Computer Learning Investments
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Empirical Analysis for Stock Price Prediction Using NARX Model with Exogenous Technical Indicators.

Computational intelligence and neuroscience Mar 25, 2022
Stock price prediction is one of the major challenges for investors who participate in the stock markets. Therefore, different methods have been explored by practitioners and academicians to predict stock price movement. Artificial intelligence model...
Neural Networks, Computer Artificial Intelligence Commerce Movement Investments
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Construction of a Fundamental Quantitative Evaluation Model of the A-Share Listed Companies Based on the BP Neural Network.

Computational intelligence and neuroscience Mar 1, 2022
Quantitative investment has attracted much attention, along with the vigorous development of Fintech. Fundamentals are one of the most important reference factors for investment. Before quantitative trading, evaluation of fundamentals may have been m...
Neural Networks, Computer Artificial Intelligence Investments
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Deep reinforcement learning stock market trading, utilizing a CNN with candlestick images.

PloS one Feb 18, 2022
Billions of dollars are traded automatically in the stock market every day, including algorithms that use neural networks, but there are still questions regarding how neural networks trade. The black box nature of a neural network gives pause to entr...
Algorithms Forecasting Deep Learning Investments
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MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management.

PloS one Feb 18, 2022
Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature. However, existing RL-based approaches rarely focus on scalability or reusability to adapt to the...
Humans Deep Learning Decision Making Financial Management Investments Reinforcement, Psychology Marketing
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Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection.

PloS one Feb 4, 2022
With the development of recent years, the field of deep learning has made great progress. Compared with the traditional machine learning algorithm, deep learning can better find the rules in the data and achieve better fitting effect. In this paper, ...
Humans Neural Networks, Computer Machine Learning Algorithms Forecasting Deep Learning Investments
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Stock Price Movement Prediction Using Sentiment Analysis and CandleStick Chart Representation.

Sensors (Basel, Switzerland) Nov 29, 2021
Determining the price movement of stocks is a challenging problem to solve because of factors such as industry performance, economic variables, investor sentiment, company news, company performance, and social media sentiment. People can predict the ...
Humans Neural Networks, Computer Algorithms Models, Economic Investments Sentiment Analysis
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An Economic Forecasting Method Based on the LightGBM-Optimized LSTM and Time-Series Model.

Computational intelligence and neuroscience Sep 28, 2021
Stock price prediction is very important in financial decision-making, and it is also the most difficult part of economic forecasting. The factors affecting stock prices are complex and changeable, and stock price fluctuations have a certain degree o...
Neural Networks, Computer Algorithms Forecasting China Investments
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Exchange Rate Forecasting Based on Deep Learning and NSGA-II Models.

Computational intelligence and neuroscience Sep 22, 2021
Today, the global exchange market has been the world's largest trading market, whose volume could reach nearly 5.345 trillion US dollars, attracting a large number of investors. Based on the perspective of investors and investment institutions, this ...
Algorithms Deep Learning Investments
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Inflation Prediction Method Based on Deep Learning.

Computational intelligence and neuroscience Aug 19, 2021
Forward-looking forecasting of the inflation rate could help the central bank and other government departments to better use monetary policy to stabilize prices and prevent the impact of inflation on market entities, especially for low- and middle-in...
Neural Networks, Computer Forecasting Deep Learning Investments
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