Skip to content
@cutemarkets

CuteMarkets

Live Options data made refreshingly simple.

CuteMarkets on GitHub

CuteMarkets dashboard quick start

CuteMarkets publishes tools for people who want to work seriously with options data, backtests, and research workflows. This organization is where we put the parts of that work that are useful on their own: SDKs, a backtesting runtime, examples, and a few research-facing packages that show how we think about the problem.

If you are new here, the simplest way to think about the org is:

  • start with an SDK if you need data access
  • start with the runtime if you want to test ideas
  • start with the strategy repo if you want to inspect one concrete model end to end

Start Here

You are trying to... Start here What you get
Query the CuteMarkets API from Python cutemarkets-python Typed client, pagination helpers, endpoint recipes
Run historical or intraday options backtests cutebacktests DuckDB-backed runtime, historical options feed, profile registry
Inspect one published options model in detail cute-intraday-option-strats Model metadata, assumptions, CLI, figure and public artifacts

These repos are meant to be read and used together. The SDKs make data access easier. The runtime shows how to structure backtests with more realistic assumptions. The strategy repos package a smaller, more opinionated slice of that stack so you can inspect a complete example without reading the whole engine.

Quick Links

Action Link
Get API key cutemarkets.com/signup
Read docs cutemarkets.com/docs
View pricing cutemarkets.com/pricing

What You Will Find Here

  • SDKs for working with CuteMarkets data
  • backtesting and research utilities
  • examples that are meant to be copied and adapted
  • selected model wrappers with explicit assumptions and results

Some parts of the broader stack stay out of this org, especially internal orchestration and live trading infrastructure. The public repos here are the parts we think are most useful to other developers and researchers on their own merits.

A Good First Path

  1. Read the SDK repo if your first question is data access.
  2. Read the runtime repo if your first question is historical options backtesting.
  3. Read the public strategy repo if your first question is how one model is specified and evaluated end to end.

If you want the shortest route from “what is this?” to “can I use it?”, start with the repo that matches your immediate task, run one example, and then follow the links to the adjacent repos or the docs. That is the easiest way to understand how the pieces fit together without getting lost in implementation detail.

Popular repositories Loading

  1. cutebacktests cutebacktests Public

    Backtesting framework for modern option strategies

    Python 23

  2. cute-intraday-option-strats cute-intraday-option-strats Public

    Research repository for intraday option strategies

    Python 4

  3. cutemarkets-python cutemarkets-python Public

    Official Python client for the CuteMarkets options market-data API. Sync + async, typed Pydantic models, auto-pagination, typed errors, and rate-limit introspection.

    Python 3

  4. cutemarkets-typescript cutemarkets-typescript Public

    TypeScript SDK for real-time and historical options data from CuteMarkets, with typed API access for chains, contracts, quotes, trades, aggregates, and examples for scanners, Next.js, and earnings …

    TypeScript 3

  5. cutemarkets-cookbook cutemarkets-cookbook Public

    Runnable recipes for using CuteMarkets options data in Python and TypeScript, organized by workflow: options chain scanners, historical contract reconstruction, earnings implied move, and quote-qua…

    Python 3

  6. options-earnings-lab options-earnings-lab Public

    Research utilities for earnings-related options studies: implied move estimation, realized vs implied move analysis, quote-quality summaries, and historical contract selection around event dates.

    Python 3

Repositories

Showing 7 of 7 repositories

Top languages

Loading…

Most used topics

Loading…