Best used with an AI agent

40+ live apps, open data APIs, MCP servers, and 200+ guides - more than anyone wants to click through. Point your AI here and it reads the whole map and does the work: finds the tool, pulls the data, runs the analysis, and hands you the links.

Here for the open-source code? Your agent finds the right repo for you - and can even clone and deploy it.

Prefer to explore on your own? Go right ahead.

Paste this to Claude Code, Codex, or any AI agent:
Go to tigzig.com and read tigzig.com/llms.txt. It is a practitioner toolkit - 40+ analytics apps, open no-auth data APIs, MCP servers, open-source repos (github.com/amararun), and 200+ build guides. Help me [your task]. Surface the exact links; where there is an API or MCP, call it directly; and if I want to self-host, find the repo and help me deploy it.

Quants Agent: Now with LLM Choices for Technical Analysis Reports

Published: December 21, 2025

The AI Technical Analysis report (support/resistance, indicators, price outlook, volume, daily/weekly charts) now lets you pick your LLM - including GPT-5.2 and Claude Sonnet 4.5.

How to use it

Go to quants.tigzig.com

Ask the agent: "Technical analysis report for Nifty 50. What model choices do you offer?"

How it works behind the scenes

  1. Fetch: Daily & weekly OHLCV from Yahoo Finance (yfinance library)
  2. Calculate: EMAs, MACD, RSI, ROC, Bollinger Bands (finta library)
  3. Chart: matplotlib generates price/volume/indicator charts
  4. Analyze: LLM gets charts (base64) + data tables + structured prompt via OpenRouter
  5. Upload: LLM Analysis goes to my Markdown to PDF service
  6. Convert: Markdown to HTML to styled PDF
  7. Output: Downloadable PDF + interactive HTML

Open Source

Hit 'Docs' for all source codes.