tipranks.com API to access price targets, news sentiments and trending stocks.
Python module to interact with TipRanks API.
In this work, the application of the Triple-Barrier Method and Meta-Labeling techniques are explored using XGBoost to develop a sentiment-based trading signal for the S&P 500 stock market index. The results indicate that sentiment data possess predictive power; however, substantial work remains before a fully implementable strategy can be realized.
Knowledge graphs and financial news analytics with large language models
📰 A Google News scraper and slim server to analyze the sentiment of our news. Flask + Mongo.
Using LSTM, Decision Tree, and HMM to predict stock market prices with news sentiment
This is about news sentiment on stock market prediction
Analysing the sentiment of news headlines over time using Python.
Daily‐updated news sentiment scores for stocks with full‐history coverage per symbol to support trend analysis and comparison.
Stock prediction tool with Discord integration and news sentiment analysis.
Example script for forecasting of Time Series data.
📈 Telegram bot that delivers comprehensive US stock analysis combining real-time technical data, AI-powered news sentiment, and fundamental metrics. Get dual-timeframe recommendations for day trading and long-term investing.
A smart, experimental market analysis toolkit that stitches together AI‐powered sentiment scoring, core fundamental metrics, and analyst trend data to generate rough buy/hold/sell suggestions. It pulls from real‐time news, checks company fundamentals, and merges multiple signals into a single, easy‐to‐read snapshot.
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