Stock Trend Prediction Using News Headlines

K. S, Kaniskaa. S, K. S, R. Anuradha
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引用次数: 2

Abstract

A stock market is a gathering of stock buyers and sellers. It displays ownership claims on firms, such as securities traded on a public stock exchange and privately traded equities. These private company shares are then sold to investors via equity crowdfunding platforms. The future movement of the stocks can be predicted by analyzing the trend based on past and current data. Without delving extensively into the basic reasons of a particular currency, technical analysis makes it simple to grasp the market's sentiments (psychology) and predict prices. By analysing share market trends, we may try to predict if a market sector that is currently growing will continue to grow in the future, or whether a market trend in one sector will start a trend in another, and so on. A lot of data is involved in the process of share market trend analysis and most technical analysts use combinations of tools such as random forest, adaboost classifier, gradient boosting, neural network, xgboost etc. to recognize the trade's potential entry and exit points. Technical analysis is frequently utilised by forex, equities, and commodities traders to determine market patterns in the short and long term. The use of technical analysis in stock market prediction is growing by the day, as more people strive to gain technical analysis abilities in order to make big money.
使用新闻标题预测股票趋势
股票市场是股票买卖双方的集合。它显示了公司的所有权主张,比如在公共证券交易所交易的证券和私人交易的股票。这些私人公司的股票随后通过股权众筹平台出售给投资者。根据过去和现在的数据分析趋势,可以预测股票的未来走势。无需深入研究特定货币的基本原因,技术分析使掌握市场情绪(心理)和预测价格变得简单。通过分析股票市场趋势,我们可以尝试预测当前正在增长的市场部门是否会在未来继续增长,或者一个部门的市场趋势是否会引发另一个部门的趋势,等等。股票市场趋势分析过程中涉及大量数据,大多数技术分析师使用随机森林、adaboost分类器、梯度增强、神经网络、xgboost等工具组合来识别交易的潜在进入和退出点。外汇、股票和商品交易者经常使用技术分析来确定短期和长期的市场模式。随着越来越多的人为了赚大钱而努力获得技术分析能力,技术分析在股市预测中的应用日益增多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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