Build on Tradingale data

Tradingale computes descriptive metrics across 250+ crypto pairs and 100+ US stocks, and serves them two ways: a REST API and an MCP server. Your AI builds the software. What you build is yours.

Recipes

Not a blog. Each recipe is a complete, reproducible path from a blank folder to running software.

How it works

1

Get a token

Tokens live in Settings > API. One bearer token covers both the REST API and the MCP server, on the same monthly quota.

2

Point your AI at the data

Agents connect through MCP; code talks plain JSON over REST. Every instrument carries the same descriptive metrics: Martingale Score, Startingale, component scores, and the model's structural parameters.

3

Own what you build

The software your AI writes runs on your machine, under your control. Tradingale serves the data and stops exactly there.

Why we stick to the data

Running order execution well is its own full-time craft: every venue has its own order types, tick sizes, rounding grids, rate limits and API quirks, and they all change without notice. That plumbing is not our trade. Our trade is martingale intelligence: two descriptive metrics and the model structures behind them, computed the same way for everyone, every day. That is what we sell.

How you integrate this data into your own strategy and tooling is entirely up to you. Some read it on the scoreboard, some journal snapshots, some wire their own agents to the API or the MCP server with Claude, ChatGPT, Gemini, Cursor or anything else that can read JSON. Your stack, your rules, your responsibility.

Tradingale never places orders, holds funds, or gives advice. What you build and run is yours.

Data for informational purposes only. Not investment advice.