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build on massive com with llms txt 2 Feature Image
announcement

Build on Massive.com with llms.txt

Massive has added llms.txt support to its API docs, allowing AI assistants to fetch structured markdown directly and skip manual HTML copying. Following the llms.txt spec, similar to robots.txt but for AI accessibility, it provides predictable URLs for easy parsing.

announcing massive etf global partnership constituents fund flows analytics profiles and taxonomies 2 Feature Image
tutorial

Announcing Massive + ETF Global® Partnership: Constituents, Fund Flows, Analytics, Profiles, and Taxonomies

TL;DR — Massive has partnered with ETF Global® to bring institutional-grade ETF data directly into the Massive API. With five new endpoints covering constituents, fund flows, proprietary analytics, profiles, and taxonomies, developers get normalized, daily-updated insight into ETF holdings, capital movements, risk/reward metrics, and classifications across 3,000+ global ETFs—all accessible through streamlined API calls with flexible add-on subscriptions. Accessing comprehensive and normalized E

Alex Novotny Profile Photo

Alex Novotny

alexnovotny

build a 0 dte covered call screener for spy with massive Feature Image
tutorial

Build a 0-DTE Covered Call Screener for SPY with Massive

In this demo, we’ll build a small  Python utility that pulls only the option contracts you’d consider for a covered call expiring today (0-DTE) on SPY. Along the way, we’ll explain not just what to do, but why each step matters—especially if you’re new to options or market data. Who this is for: developers comfortable with Python who want to automate an options workflow—even if you’re still learning options. You must have an Massive Options Advanced plan for this demo to work properly. What

Alex Novotny Profile Photo

Alex Novotny

alexnovotny

hunting anomalies in the stock market Feature Image
tutorial

Hunting Anomalies in the Stock Market

This tutorial demonstrates how to detect short-lived statistical anomalies in historical US stock market data by building tools to identify unusual trading patterns and visualize them through a user-friendly web interface.

Justin

editor

finding correlation between stocks Feature Image
tutorial

Finding Correlation Between Stocks

Explore how to identify stock correlations and enhance portfolio diversification by building correlation matrices with Python and Massive's python client library in this comprehensive tutorial.

Justin

editor