
Build an Iron Condor Screener with Massive
In this demo, we’ll showcase a small Python utility that screens for iron condors on SPY (or any highly liquid symbol) using Massive’s options API.

alexnovotny
More posts from Alex Novotny

In this demo, we’ll showcase a small Python utility that screens for iron condors on SPY (or any highly liquid symbol) using Massive’s options API.

alexnovotny

Reposted from Magic Newton Foundation's blog. As Treasuries, bonds, and other financial instruments move onchain, Real World Asset (RWA) applications need real-time market signals to power informed trades. Treasury yields shape pricing, timing and portfolio decisions — making them foundational data for any onchain trading experience. Today we’re introducing the Massive Treasury Yield Data Oracle, an open-source integration built on Newton Protocol that brings U.S. Treasury yield curve data int

alexnovotny

There are four new fundamentals endpoints, one daily-refreshed ratios feed, and a developer experience designed for screens, research, and automated reporting.

alexnovotny

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

alexnovotny

This tutorial will walk you through building a stock market analysis agent. We'll use a stack that combines Massive's real time and historical market data with the brand new advanced capabilities of OpenAI's GPT-5, all tied together with the easy to use Open AI Agent SDK.

alexnovotny

Learn how to use Massive's MCP server inside of a Pydantic AI agentic workflow, alongside Anthropic's Claude 4 and the Rich Python library.

alexnovotny