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AlgoMaker

Runs quantitative trading research, portfolio composition and live execution, exposed as functions an AI agent can call.

Actively maintained

At a glanceswept Oct 22, 2026

not read yet

Use

For
quant trading desks letting an AI agent run research, paper and live execution on their own infrastructure
Activity
Actively maintainedsite updated 6 weeks ago
Runs as
APISelf-hosted
Used for
  • backtest strategies through out-of-sample and Monte Carlo checks
  • compare live fill costs against backtest cost assumptions per instrument
  • stop or force-close positions with a kill switch independent of the agent
Worth knowingcomputed from what we read · each with its source
  • On the web since 2024, older than 71% of its shelfINITE Atlas
  • Has an MCP server (1 in the registry)public registry →
  • Publishes llms.txt, a file written for AI assistantsalgomakers.com ↗
How a program reaches itfound, not claimed · read Oct 24, 2026
  • MCP servercom.algomakers/algomakerverified in the MCP registry
  • Stateanswers, 4 toolschecked 2026-10-24
  • Address to connectalgomakers.com/mcp

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Financeby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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From people who use itnot part of the reading

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Questions this page answers
  • What is AlgoMaker?

    Runs quantitative trading research, portfolio composition and live execution, exposed as functions an AI agent can call. It is listed in the Atlas under Finance.

  • Who is AlgoMaker for?

    quant trading desks letting an AI agent run research, paper and live execution on their own infrastructure

  • Do people use AlgoMaker?

    Little sign of use.

  • Is AlgoMaker still maintained?

    Actively maintained: site updated 6 weeks ago.

  • What are alternatives to AlgoMaker?

    In Finance, by use: Cryptohopper, Gainium, Papers With Backtest, HaasOnline, H|ψ⟩ Quantum Finance, VolatiCloud.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk