AI-Powered Stock Analysis with Bright Data MCP Server & Strands Agents SDK

End-to-end crypto analytics & Ai Project ⇢ data pipeline, ML & LSTM signals, Streamlit dashboard. Research only—no financial advice.

Automated financial data pipeline with rule-based trade signals and a reporting layer designed for Power BI dashboards.

VERIDIAN is a fully public, real-time geopolitical intelligence dashboard built on the **MERN stack**. It aggregates live global events — conflicts, protests, disasters, military movements, cyber threats — onto an interactive 3D globe, and uniquely converts those events into **AI-powered financial trading signals** in real time.

SharpEdge-Quant is a high-performance quantitative trading framework combining Python-based machine learning with a C++ backtesting engine. It features a Flask API for serving signals, a React dashboard for visualizing strategy performance, and a modular architecture for financial experimentation.

Interactive trading dashboard implementing Alfons Cortés' Bollinger Bands strategy based on Behavioral Finance. Features automated exit/re-entry signals, multi-currency support, and relative strength analysis. Built with Python, Dash, and Plotly for professional financial visualization.

InvestorLens AI is an AI-powered startup risk prediction platform. It analyzes financial and market signals to generate failure probability scores. Provides visual dashboards and key risk insights for investors and founders. Built with a modern full-stack AI architecture.

MSC Finance Project — An end-to-end agentic AI pipeline for automated trading signal generation across 11 financial assets using machine learning, technical analysis, and AWS cloud infrastructure. The entire pipeline is deployed on AWS, operating daily via serverless triggers, with a real-time monitoring dashboard hosted on an EC2 instance.

Real-time financial signals dashboard with interactive charts and indicators

Machine learning system for early financial risk detection using behavioral signals, predictive modeling, and interactive dashboards.

An interactive dashboard that combines machine learning, financial data, and visual storytelling to interpret short term stock market signals responsibly.

Corporate Health & Risk Radar — An economic analytics dashboard that evaluates financial health, early risk signals, and market exposure for public companies using financial data and risk modeling.

Power BI dashboard analyzing suspicious transaction patterns and financial crime risk signals using transaction behavior, geographic analysis, and merchant category insights.

Financial analysis dashboard using Python web scraping and Power BI with investment signal (Invest/Hold/Sell)

AI-powered financial news sentiment analysis pipeline using FinBERT, multi-source news ingestion, and a Streamlit dashboard to analyze sentiment-driven stock signals.

Open-source algorithmic trading for stocks & crypto using quantitative signals that blend macro & micro factor correlations with financial-news sentiment. Includes data ingestion, feature engineering, signal generation, backtesting, and a simple dashboard. Educational use only—NOT financial advice.

Create forensic-grade dashboards powered by deep, multi-source AI research that uncovers litigation, financials, competitors, risks, and strategic signals for any fuel station.

Modern financial dashboard built with Angular 21. Implements strict TypeScript, signal-based state management, and pure CSS responsive layouts

FundScope is a modern fintech intelligence platform that aggregates market, startup, and business news into a clean dashboard, helping investors quickly understand important financial trends and market signals.

A minimalist, real-time financial research dashboard for the Indian stock market. Features automated TradingView signals, a searchable technical analysis gauge, and an interactive learning suite for traders.

A modern, high-performance financial dashboard application built with Angular 18 Zoneless. This project demonstrates advanced frontend architecture, reactive state management using Angular Signals, and a responsive, glassmorphic UI.

A web dashboard that aggregates and visualizes economic indicators and financial data to support informed decision-making. Built for tracking macroeconomic trends, market signals, and intelligence insights in real time.

A full-stack financial dashboard using Angular 17+, Node.js, and Socket.io. It leverages Google Gemini AI to broadcast live, simulated buy/sell signals every 15 seconds to connected clients. Features an interactive, real-time AI chatbot for financial queries.

FSI: Tesla-style Financial Safety Engine. Shows Financial Safety Score from deposit exposure (₹5L insurance), liquidity secure score, FD diversification, bank safety signals, UPI fraud monitor, subscription leaks, merchant trust score, exposure dashboard. Improves score via actions; powers banks/SME treasury.

An AI-powered market intelligence dashboard that delivers real-time stock insights, sentiment analysis, and forecasting, converting complex financial data into clear strategic signals, executive-ready alerts, and actionable decisions for business leader

A financial market monitoring dashboard, with data extraction with Python and API, integrating yields and top investment bank stock prices to analyze recession risk and sector performance. Detects yield curve inversions, highlights economic downturn signals, and visualizes key financial trends from past 14 months.

FinDash is a full-stack financial dashboard that combines a FastAPI backend with a responsive Next.js frontend to deliver real-time stock analysis, trading signals, and performance metrics using live Yahoo Finance data.

⚠️ Disclaimer: This dashboard is for informational and educational purposes only. Nothing here constitutes financial or investment advice. Crypto markets are highly volatile. Past signals do not guarantee future results. Always do your own research.

Designed reporting pipelines integrating SQL queries with Power BI dashboards for liquidity monitoring. Built visuals tracking DTI ratios, repayment delays, and loan risk grades to detect early warning signals. Automated refresh schedules to deliver compliance-ready financial dashboards. Improved treasury-style monitoring, decision-making.

Developed an interactive Streamlit dashboard for stock technical analysis, signal generation, backtesting, and ARIMA-based forecasting, demonstrating proficiency in financial data processing and time-series modeling.