Tag: stockmarkets
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Real-Time Stock Sentiment Analysis w/ NLP Web Scraping
Stock sentiment analysis is gaining popularity as a technique to understand public opinions on specific assets. This study uses NLP web scraping in Python to extract stock sentiments from financial news headlines on FinViz. The sentiment analysis can help determine investor opinions and potential impacts on stock prices, though it is not a standalone predictor.
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Data Visualization in Python – 1. Stock Technical Indicators
Featured Photo by Monstera on Pexels. In this project, we will implement the following Technical Indicators in Python: Conventionally, we will look at the following three main groups of technical indicators: Input Stock Data Let’s set the working directory VIZ import osos.chdir(‘VIZ’)os. getcwd() and import the key libraries import datetime as dtimport pandas as pdimport…
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Zacks Investment Research Update Q4’22
Featured Photo by Yiorgos Ntrahas on Unsplash Let’s continue exploring the most popular articles, ideas and opinions from Zacks.com. Contents: Update for Monday, October 24 2022 S&P 500: 3,752.75 +86.97 (+2.37%) Dow: 31,082.56 +748.97 (+2.47%) Nasdaq: 10,859.72 +244.87 (+2.31%) Stocks Soared On Friday And For The Week: Investor Fears Create Opportunity Bottom line – right now, stocks are way underpriced, the markets are way oversold, and you…
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The Qullamaggie’s TSLA Breakouts for Swing Traders
The content explains a Python-based stock scanner project that analyses TSLA’s historical data downloaded from Yahoo Finance. It applies a set of functions to identify stocks meeting growth criteria and checks for consolidation. The output is a series of plots showing original close price vs filtered data or breakouts. The scanner aims to help swing…
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