Topic: news-sentiment Goto Github
Some thing interesting about news-sentiment
Some thing interesting about news-sentiment
news-sentiment,In this work an application of the Triple-Barrier Method and Meta-Labeling techniques is explored with XGBoost for the creation of a sentiment-based trading signal on the S&P 500 stock market index. The results confirm that sentiment data have predictive power, but a lot of work is to be carried out prior to implementing a strategy.
User: anxxos
news-sentiment,📰 A Google News scraper and slim server to analyze the sentiment of our news. Flask + Mongo.
User: austince
news-sentiment,Example script for forecasting of Time Series data.
User: foreverycast
news-sentiment,tipranks.com API to access price targets, news sentiments and trending stocks.
User: janlukasschroeder
news-sentiment,Analysing the sentiment of news headlines over time using Python.
User: phoenixpereira
news-sentiment,Using LSTM, Decision Tree, and HMM to predict stock market prices with news sentiment
User: stanleykywu
news-sentiment,This is about news sentiment on stock market prediction
User: superhutianyi
news-sentiment,Knowledge graphs and financial news analytics with large language models
User: tpetkovich
news-sentiment,Python module to interact with TipRanks API.
User: visuxls
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