deep-div

Mutual Fund Analytics Dashboard with advanced screening using CAGR, XIRR, MDD, and risk metrics. Includes secure authentication, per-user watchlists, and saved custom screeners.

17
4
100% credibility
Found Apr 18, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Full-stack web app for screening Indian mutual funds by returns, risks, and categories with user-saved filters and detailed analytics.

How It Works

1
🌐 Discover FundScreener

You find a free tool to easily screen and compare mutual funds while browsing investment sites.

2
🔍 Explore top performers

See live leaderboards of today's top gainers, losers, and best long-term funds right on the homepage.

3
Build your perfect screen

Pick fund types, set return goals, and filter risks to instantly see matching funds that fit your style.

4
Save your favorites
📊
Saved screen

Reusable filters for repeated checks on market conditions.

Personal watchlist

Track exact funds over time with one click.

5
📈 Dive into details

Click any fund to see full charts, returns history, risks, and growth simulations.

Track smarter investments

Your custom screens and watchlists keep you informed, helping you build a stronger portfolio effortlessly.

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Star Growth

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AI-Generated Review

What is MutualFund-Screener?

MutualFund-Screener is a full-stack dashboard for screening Indian mutual funds (mutual funds india) with advanced analytics like CAGR, XIRR, MDD, Sharpe ratios, volatility, and rolling returns. Built in TypeScript/React for the frontend and Python/FastAPI backend with PostgreSQL, it pulls live mutual fund data github sources, offers leaderboards, scheme search, and per-user features like secure Firebase auth, watchlists, and saved custom screeners. Deploy via Docker to http://localhost:4000 for instant mutual fund analysis github.

Why is it gaining traction?

It delivers production-ready mutual fund api github endpoints for filtered searches (e.g., equity with 3Y CAGR >15%, volatility <16%) and detailed analytics views, skipping manual ETL hassles. Custom screeners persist per user, with SIP XIRR calculators and drawdown heatmaps—deeper than basic mutual fund calculator apps. Tailwind UI and Swagger docs make tweaking for mutual fund performance sharpe queries straightforward.

Who should use this?

Quantitative analysts screening mutual funds vs etf for portfolios, fintech devs prototyping mutual fund screeners in India, or advisors building client dashboards with watchlists and risk metrics like mutual fund theorem breakdowns. Perfect for those comparing altoro mutual github tools or northwestern mutual github clones needing advanced analytics.

Verdict

Grab it at 17 stars and 1.0% credibility score for a mature mutual fund data github base—excellent README/Docker setup, but add tests for reliability. Fork for custom mutual funds deutsch or germany adaptations; skip for high-scale without hardening the ingestion pipeline.

(198 words)

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