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)
DeFi portfolio analytics across 90 EVM networks and 600+ protocols. Proxy rotation, Excel/CSV/JSON export, filters by chain/token/NFT. TypeScript.
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.
Multi-broker portfolio analytics — Fama-French, GARCH, covered call strategies (PyPI: pip install clawdfolio)
Portfolio Analytics
Here you see how to track your portfolio the right way
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.
OpenBB extension for Interactive Brokers portfolio, margin, market data, options, and risk analytics.
building the optimal portfolio using analysis from historical data
A modern web application to analyze the historic performance of a given portfolio.
Synthetic personal-lines insurance portfolio built as a governed digital twin, with dataset freezing, validation gates, and actuarial realism.
Stock Portfolio Analytics Dashboard
Multi-asset portfolio analytics with institutional-grade attribution and risk decomposition.
Comprehensive commercial real estate financial analysis platform featuring property valuation, lease management, cash flow modeling, and investment performance tracking for portfolio optimization
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.
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.
Investment portfolio intelligence platform built with React, FastAPI microservices, real-time updates, and Docker.
Market Risk analysis using R language to compare VAR and Expected shortfall for single and multi asset portfolio
Python-based portfolio analytics dashboard with Google Sheets/Excel integration, live market data, benchmark comparison, PDF reports, and automated email delivery.
July 2025 | Private Equity Portfolio Analytics using IRR and TVPI
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