The spider crawls moneycontrol.com and economictimes.com to fetch news of input companies and also scores and classifies the companies to raise an early warning signal

Knowledge graphs and financial news analytics with large language models

📈 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.

An AI-powered stock price prediction tool built using Streamlit, LSTM neural networks, and sentiment analysis from news, Twitter, and Google Trends data.

Analysing the sentiment of news headlines over time using Python.

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.

Predicting stock price movements using news sentiment analysis with FNSPID data. Features EDA, TA-Lib indicators, and correlations for Nova Financial Solutions.

AI-powered stock movement predictor that analyzes real-time financial news and market data using LLMs, RAG pipelines, and vector databases to forecast short-term stock direction. Built with LangChain, LangGraph, and reinforcement learning to continuously improve predictions from news sentiment and market signals.

Backtesting News Sentiment with Asset Prices

Script for fine-tuning a news sentiment model, as well as a small Streamlit interface and functions for news retrieval and inference pipeline.

US news scraper for articles