Portfolio analytics, built for clarity
QuantMesh started as an educational initiative and an EPAT final project, but its purpose quickly became more specific: to make portfolio understanding feel structured, measurable, and intellectually honest for serious self-directed investors.
Overview
QuantMesh is a portfolio intelligence workspace for advanced self-directed investors and analytical traders. It connects to portfolio data via Zerodha Kite Connect and MCP, then organizes that data into a more coherent view of performance, risk, exposure, and behavior.
How it’s built
Built by a systems and quant developer (not a trader or advisor), with a focus on analytical depth, automation, and clean dashboards.
- Python, FastAPI
- Zerodha Kite MCP Server
- React + Vite, Tailwind CSS
- Pandas, Polars, Matplotlib, Plotly, QuantStats, Riskfolio
- AI-assisted interpretation (future roadmap, explainable)
Current status
- Fully functional MVP built and tested
- Bootstrapped, no external funding
- Seeking mentorship and strategic support from strong tech operators in this space
The vision is simple: bring portfolio-first quantitative intelligence to serious independent investors and learners — in one place.
Why We Built QuantMesh
Modern investing generates plenty of data, but portfolio understanding is still often fragmented across broker dashboards, isolated metrics, exported spreadsheets, and intuition. QuantMesh was built to create a more structured analytical layer: one place to study performance quality, risk visibility, allocation decisions, and portfolio behavior with measurable context.
What felt missing
What QuantMesh aims to provide
Why it matters
- Most portfolios fail quietly: concentration creeps in, risk changes, and the portfolio’s behavior drifts.
- Broker dashboards are optimized for transactions and P&L, not scientific risk visibility.
- Quantitative diagnostics helps you see what you’re really exposed to — before a market regime makes it obvious.
- QuantMesh aims to make the “portfolio story” readable: performance, risk, exposure, and consistency.
Risk visibility
Allocation clarity
Quant-style diagnostics
One coherent view
Caveats and disclaimers
- This is an analytics platform — not an advisory or trading app.
- The creator is not SEBI-registered (RA/RI) and offers no investment advice.
- This is a first-time founder’s independent product venture.
“Not just a dashboard — a portfolio diagnostics workspace.”
What Makes QuantMesh Different
QuantMesh is intentionally opinionated in one specific way: portfolio decisions should be easier to justify with measurement than with stories. It is designed around diagnostics, analytics, and structured understanding rather than prediction theater or attention-driven investing.
What it is
What it is not