NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)
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Updated
May 20, 2023 - Jupyter Notebook
NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)
Too many portfolio trackers, but no portfolio doctor! Get insights from your trading history. Correctly benchmark against an index, with opportunity cost, interest income from cash, broker fees and capital gains tax, etc. factored in.
Portfolio Analytics
Here you see how to track your portfolio the right way
A modern web application to analyze the historic performance of a given portfolio.
building the optimal portfolio using analysis from historical data
Stock Portfolio Analytics Dashboard
Synthetic personal-lines insurance portfolio built as a governed digital twin, with dataset freezing, validation gates, and actuarial realism.
Comprehensive commercial real estate financial analysis platform featuring property valuation, lease management, cash flow modeling, and investment performance tracking for portfolio optimization
Production-grade open-source Market Risk Engine 🚀💹 – Full-stack FastAPI (Python) + React 19/TypeScript with a sleek fintech dark-theme dashboard.Compute VaR & CVaR via multiple methods, advanced stress testing (historical crises + custom), VaR backtesting (Kupiec test), and rich portfolio analytics.
Market Risk analysis using R language to compare VAR and Expected shortfall for single and multi asset portfolio
Albridge Selenium performance data
Django-based web application supporting portfolio analytics and construction workflows.
Nexus Credit Intelligence is an AI-powered platform that transforms credit risk assessment for financial institutions. It leverages advanced machine learning to deliver instant risk scoring, portfolio insights, and explainable AI, while real-time processing and intuitive dashboards enable smarter lending decisions and scalable growth.
End-to-end Market Risk Analytics system using Python and SQL. Fetches historical stock data via API, stores it in a relational database, and computes risk/performance metrics including Sharpe ratio, volatility, and 95% Value-at-Risk. Includes an interactive Streamlit dashboard for visualization.
A complete Mutual Fund Analytics Dashboard built in Excel — includes CAGR, Sharpe Ratio, Sortino, Beta, Alpha, Max Drawdown, Tracking Error, VaR, SIP XIRR and benchmarking using Nifty 500 TRI.
📊 Scrape detailed client performance data from Albridge Wealth Reporting for reliable, structured datasets ready for analysis.
Flask-based portfolio management application that allows you to create investment strategies, analyze live performance, and execute transactions.
Full-stack investment portfolio analytics platform built with React, TypeScript, and Supabase, featuring real-time data and interactive visualizations.
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