Frequency Weighted OrderBook Analysis
A website showing several companies' stocks and their market sentiments using Yahooquery and Marketaux API.
Explore how Bitcoin market sentiment influences trader behavior and performance using real trading data and emotional indicators like the Fear & Greed Index. This project applies data science, clustering, and visualization techniques to uncover actionable insights for crypto trading strategies.
Real-Time AI Powered Market Sentiment Dashboard
Market Sentiment DApp
market sentiment tracking platform that allows communities to express conviction in cryptocurrencies through a pump-based voting system, with time-based filtering and EXPL point rewards for meaningful engagement.
An analytical study of how Bitcoin market sentiment (Fear vs Greed Index) influences trading volume, leverage behavior, and profitability using historical data.
A professional-grade toolkit for downloading, cleaning, and analyzing CFTC Commitment of Traders (COT) reports. This project focuses on the "Traders in Financial Futures" (TFF) and Disaggregated COT reports, providing automated feature engineering, market-level sentiment analysis, and directional bias scoring.
📈 Generate finance news and stock insights for IBM using generative AI to enhance investment decision-making.
🔍 Detect trends on Reddit, extract tickers, and generate market-enriched trade ideas with this signal discovery system.
Real-Time Market Sentiment Aggregator
Market Buzz - Bubble chart, Upcoming events, Market sentiment
This project explores the relationship between trader performance and market sentiment using two primary datasets.
Analysis of Hyperliquid trader behavior and market sentiment (Fear/Greed). Includes K-Means clustering, a Random Forest predictive model, and an interactive Streamlit dashboard.
AI agent that monitors financial news and detects meaningful sentiment shifts using LLM-based analysis and persistent context.
A minimal FastAPI web app for collecting RSS crypto news, running sentiment predictions with LLMs, and viewing database contents
CommoSense is a Django prototype that tracks commodity sentiment from social text using Tweepy and TextBlob, with a simple web dashboard and test-covered fallback behavior.
Analyzes Bitcoin market sentiment's impact on Hyperliquid trader PnL & behavior. Uncovers patterns using Python (Pandas, Seaborn) to derive actionable trading insights. Junior Data Scientist assignment for PrimeTrade
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