StockNewsScraper
所属分类：金融证券系统
开发工具：CSS
文件大小：1705KB
下载次数：0
上传日期：2022-10-08 16:39:26
上 传 者：
sh-1993
说明： StockNewsScraper，根据investopedia.com和reddit.com上的股票新闻生成买卖信号。使用正负关键词reco...
(Generate Buy/Sell signals based on stock news on investopedia.com and reddit.com. Uses positive/negative keyword recognition.)
文件列表:
__pycache__ (0, 2022-10-09)
__pycache__\engine.cpython-310.pyc (1682, 2022-10-09)
__pycache__\engine.cpython-39.pyc (1354, 2022-10-09)
__pycache__\investopedia.cpython-310.pyc (2255, 2022-10-09)
__pycache__\investopedia.cpython-39.pyc (2263, 2022-10-09)
__pycache__\reddit.cpython-310.pyc (2031, 2022-10-09)
__pycache__\reddit.cpython-39.pyc (2045, 2022-10-09)
__pycache__\time_checker.cpython-310.pyc (542, 2022-10-09)
__pycache__\time_checker.cpython-39.pyc (556, 2022-10-09)
appengine_config.py (39, 2022-10-09)
application.py (1957, 2022-10-09)
data.json (1125482, 2022-10-09)
engine.py (1537, 2022-10-09)
investopedia.py (3770, 2022-10-09)
j.json (1125482, 2022-10-09)
negative.txt (651, 2022-10-09)
output.txt (741, 2022-10-09)
positive.txt (653, 2022-10-09)
prohibited.txt (117, 2022-10-09)
prohibited_tickers.txt (17, 2022-10-09)
reddit.py (2790, 2022-10-09)
requirements.txt (680, 2022-10-09)
static (0, 2022-10-09)
static\.DS_Store (6148, 2022-10-09)
static\assets (0, 2022-10-09)
static\assets\.DS_Store (6148, 2022-10-09)
static\assets\css (0, 2022-10-09)
static\assets\css\.DS_Store (6148, 2022-10-09)
static\assets\css\fontawesome-all.min.css (55967, 2022-10-09)
static\assets\css\images (0, 2022-10-09)
static\assets\css\images\footer.svg (514, 2022-10-09)
static\assets\css\images\header.svg (526, 2022-10-09)
static\assets\css\images\image-wrapper.svg (1737, 2022-10-09)
static\assets\css\images\navPanel.svg (528, 2022-10-09)
static\assets\css\images\overlay.png (21244, 2022-10-09)
static\assets\css\main.css (49134, 2022-10-09)
static\assets\js (0, 2022-10-09)
static\assets\js\breakpoints.min.js (2439, 2022-10-09)
... ...
# StockNewsScraper
Generate Buy/Sell signals based on stock news on investopedia.com and reddit.com. Uses positive/negative keyword recognition.
Run application.py
Deployment : http://flask-env.eba-mxf2n4br.eu-south-1.elasticbeanstalk.com/
Flask app deployed on AWS
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