Bright Data | Reddit Ticker-Mapped Sentiment Data

Using NLP/NLU we detect Tickers and financial symbols. The data is then ticker-mapped to provide sentiment scores for a specific company based on texts collected. Use Cases: Hedge funds can use this data set in different ways. For example, risk assessment tool, providing information about how many users on Reddit talk about a certain stock to their PMs. Helping to track their portfolios and reduce risks when spotting a stock which is getting a lot of attention from users. Popular attributes (up to-5): ✔ Ticker-mapping routines, key event and topic classifiers ✔ Sentiment scores with NLP ✔ Raw data available ✔ Historical data available, point-in-time Key information: Pricing: One-off purchase or Monthly license Tracking finance specific sub reddits, crypto, stocks, and indices Historical data: since September 2017 APIs available, REST and Websocket CSV, JSON, FTP

搜集汇总

背景与挑战

背景概述

该数据集利用NLP技术分析Reddit文本，识别金融代码并映射为针对特定公司的情感评分，适用于对冲基金进行风险评估和投资组合管理。它提供自2017年9月以来的历史和原始数据，支持多种API及数据格式。