Many studies have investigated using these techniques to anticipate stock values by analyzing historical data and technical indications. However, since the goal is to create predictions for the financial market, validating the model using profitability indicators and model performance is crucial...
A simulation of high-frequency market data is performed with the Genoa Artificial Stock Market. Heterogeneous agents trade a risky asset in exchange for ca... L Ponta,E Scalas,M Raberto,... - 《IEEE Journal of Selected Topics in Signal Processing》 被引量: 28发表: 2012年 Context matching...
This paper improves stock market prediction based on genetic algorithms (GA) and wavelet neural networks (WNN) and reports significantly better accuracies compared to existing approaches to stock market prediction, including the hierarchical GA (HGA) WNN. Specifically, we added information such as tr...
微笑**的猫 上传1.12 MB 文件格式 zip genetic-algorithm matlab meta-heuristic neural-network stock-market Matlab Module for Stock Market Prediction using Simple NN 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 我的世界粒子特效音乐 2025-01-30 01:10:59 积分:1 ...
In recent years, the application of deep learning techniques in financial markets has achieved significant attention for developing effective investment st
reinforcement learning project for stock trading machine-learningreinforcement-learningalgorithm-trading UpdatedOct 14, 2019 Jupyter Notebook Algorithm Trading in Stock Market pythonstock-marketindicatorsalgorithm-trading UpdatedJun 25, 2023 Python Load more… ...
Support vector regression with chaos-based firefly algorithm for stock market price forecasting Due to the inherent non-linearity and non-stationary characteristics of financial stock market price time series, conventional modeling techniques such as ... A Kazem,E Sharifi,FK Hussain,... - 《Applied...
Machine Learning Models in Stock Market Prediction The paper focuses on predicting the Nifty 50 Index by using 8 Supervised Machine Learning Models. The techniques used for empirical study are Adaptive Boost (AdaBoost), k-Nearest Neighbors (kNN), Linear Regression (LR), Artificial Neural... G ...
UpdatedJan 2, 2025 torreyleonard/algotrader Star643 Simple algorithmic stock and option trading for Node.js. nodejsjavascriptquotesportfolioalgorithmoptionstradingmarketstockstock-marketiexalgorithm-librarynewsapirobinhoodrobinhood-apinasdaqalgorithmic-tradingyahoo-financealpha-vantage ...
Subsequently, the causal forest method was applied to analyze the causal relationships between these risks and their impact on risk spillovers across various Chinese stock markets. The research findings indicate that both transition risk and physical risk significantly influence stock market risk spillover...