金融市场新闻情绪分析.ybi
Financial Market News Sentiment Analysis .ybi (2024-04-08, Jupyter Notebook, 0KB, 下载0次)
该项目深入研究了前25篇金融新闻文章的情绪分析。通过利用机器学习技术，我们旨在对这些文章中表达的情绪（积极、消极或中性）进行分类。这可以为市场趋势和投资者信心提供有价值的见解。
This project delves into the sentiment analysis of the top 25 financial news articles. By leveraging machine learning techniques, we aim to classify the sentiment (positive, negative, or neutral) expressed in these articles. This can provide valuable insights into market trends and investor confidence. (2024-03-27, Jupyter Notebook, 0KB, 下载0次)
该项目以计算多元化投资组合的风险价值（VaR）为中心，旨在量化潜在损失并评估风险水平
This project centered on calculating the Value at Risk (VaR) for a diversified investment portfolio, aiming to quantify potential losses and assess risk levels (2024-03-23, Jupyter Notebook, 0KB, 下载0次)
财经新闻情绪分析
Financial News Sentiment Analysis (2024-03-09, Jupyter Notebook, 0KB, 下载0次)
在这个数据科学项目中，我们专注于金融市场新闻情绪分析。在这个知识库中，我们深入研究了应用于金融市场新闻的情绪分析这一令人兴奋的领域，旨在为投资者和分析师一样提取有价值的见解。
In this Data Science project, we focus on Financial Market News Sentiment Analysis. In this repository, we delve into the exciting realm of sentiment analysis applied to financial market news, aiming to extract valuable insights for investors and analysts alike. (2024-03-08, Jupyter Notebook, 0KB, 下载0次)
使用此代码，可以预测和预测纳斯达克上公司的股票价格（只是一个为娱乐和学习而制作的项目，而不是投资工具或建议）
With this code stock price of a company on the NASDAQ can be predicted and forecasted (just a project made for fun and learning, not investing tool or for advise) (2024-03-02, Jupyter Notebook, 0KB, 下载0次)
人工智能金融情绪：在个人黑客马拉松项目中使用NLP和生成人工智能预测金融新闻情绪
AI-Finance-Sentiment: Predict financial news sentiment using NLP and Generative AI in a personal hackathon project (2024-02-11, Jupyter Notebook, 0KB, 下载0次)
具有训练模型的Streamlit应用程序，用于使用机器学习和自然语言处理（NLP）的股票情绪分析。该应用程序基于新闻标题预测股票价格走势，并显示最新的世界新闻标题。
A Streamlit application with trained model for Stock Sentiment Analysis using Machine Learning and Natural Language Processing (NLP). The application predicts stock price movements based on news headlines and displays the latest world news headlines. (2024-02-11, Jupyter Notebook, 0KB, 下载0次)
时间序列策略：投资组合重新平衡、基于新闻的交易、交易信号、均值反转、Z评分
Strategies with time series: Portfolio Rebalancing, News Based Trading, Signals for trading, Mean Reversion, Z Score (2024-02-03, Jupyter Notebook, 0KB, 下载0次)
这个存储库包含我开发的Python代码，用于使用OpenAI的GPT技术分析金融文档和新闻文章。…
This repository contains Python code that I developed to analyze financial documents and news articles using OpenAI s GPT technology. The… (2024-01-17, Jupyter Notebook, 0KB, 下载0次)
芬伯特股票新闻
FinBERT Stock News (2024-01-03, Jupyter Notebook, 0KB, 下载0次)
该项目背后的想法是同时从多个来源获得市场新闻的概述。
The idea behind this project is to get overview of the market news from multiple sources at the same time. (2023-12-22, Jupyter Notebook, 0KB, 下载0次)
以数据为中心的FinGPT。开源金融！
Data-Centric FinGPT. Open-source for open finance! (2023-12-19, Jupyter Notebook, 0KB, 下载0次)
该存储库包含一个基于Python的管道，用于抓取、总结和分析与特定股票和加密货币相关的金融新闻文章中的情绪。通过自动新闻摘要和情绪分析，随时了解市场新闻和情绪。
This repository contains a Python-based pipeline for scraping, summarizing, and analyzing sentiment in financial news articles related to specific stocks and cryptocurrencies. Stay informed about market news and sentiment with automated news summarization and sentiment analysis. (2023-12-20, Jupyter Notebook, 0KB, 下载0次)
通过从路透社和雅虎收集金融新闻数据，并对数据进行比较和可视化，来分析市场情绪。
Analyzing market sentiment by scraping financial news data from Reuters and Yahoo, and comparing and visualising the data. (2023-12-19, Jupyter Notebook, 0KB, 下载0次)
股票新闻预测协作
Stock News Predictions Collaboration (2023-12-04, Jupyter Notebook, 0KB, 下载0次)
本项目侧重于分析金融新闻情绪，并利用机器学习模型来预测股票价格的基础上，传感器网络...
This project focuses on analyzing financial news sentiment and utilizing machine learning models to predict stock prices based on the sentiment analysis. It integrates data from various sources, including financial news articles, stock prices, economic indicators, and weather data. (2023-11-27, Jupyter Notebook, 0KB, 下载0次)
我们从基线LSTM模型开始，并插入不同的偏差-1。新闻情绪偏见，2。博弈论偏见，3。用户悬念...
We started off a baseline LSTM model, and we are inserting different biases - 1. News sentiment bias, 2. Game Theory Bias, 3. User Hunch Bias. (2023-11-27, Jupyter Notebook, 0KB, 下载0次)
本项目旨在通过RNN预测金融新闻的情绪。为了更好地理解NLP实现。
This project aims to predict sentiments of finance news via RNN. To better understand NLP implementation. (2023-11-14, Jupyter Notebook, 0KB, 下载0次)
Ybi基金会金融市场新闻情绪分析，，
Ybi Foundation Financial Market News Sentiment Analysis,, (2023-10-26, Jupyter Notebook, 0KB, 下载0次)