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.
📈 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.
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.
📈 Analyze stock news sentiment using advanced techniques to make informed investment decisions and enhance your trading strategies.
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.
Stock prediction tool with Discord integration and news sentiment analysis.
Get prepared with your day-by-day investment portfolio with AI financial agent. 주식 AI Agent (국장 종목 추천 프로그램)
Company intelligence & due diligence: OFAC sanctions, corporate registry, news sentiment, contact extraction. One API call. $0.025/entity.
Real-time financial news sentiment analysis pipeline using fine-tuned FinBERT. Open-source replica of Bloomberg BQuant Textual Analytics with 92% F1 score on financial text classification.
Example script for forecasting of Time Series data.
News sentiment score trends as a Python API client and MCP tool. Positive/negative sentiment over time, weekly or daily series, growth percentages. Powered by trendsmcp.ai
MCP server for live news sentiment and volume data. Track media coverage tone and breakout news topics from Claude, Cursor, VS Code and more.
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