{
  "$schema": "https://qisfund.com/api/partners.json",
  "version": "10.0",
  "generated": "2026-07-28",
  "license": "Free to use with attribution to https://qisfund.com/partners/",
  "neutrality": "Listing and scoring are editorial and are never sold. The relationship field discloses every commercial arrangement; it generates both the on-page disclosure and the link rel attributes.",
  "criteria": [
    {
      "key": "docs",
      "name": "Documentation quality",
      "definition": "Can a competent stranger get to a working result from the public docs alone?"
    },
    {
      "key": "access",
      "name": "Access & pricing transparency",
      "definition": "Are limits, tiers, and real costs published, or do you have to talk to sales?"
    },
    {
      "key": "data",
      "name": "Data integrity",
      "definition": "Point-in-time correctness, survivorship handling, and documented revisions."
    },
    {
      "key": "interop",
      "name": "Interoperability",
      "definition": "Open formats, stable APIs, and the ability to leave with your work intact."
    },
    {
      "key": "gov",
      "name": "Governance posture",
      "definition": "Auditability, change logs, incident history, and reproducibility guarantees."
    }
  ],
  "tiers": [
    {
      "key": "tool",
      "name": "Partner tools",
      "definition": "Platforms and libraries that do the work — research, backtesting, execution."
    },
    {
      "key": "data",
      "name": "Partner data",
      "definition": "Market data, reference data, and the vendors who stand behind its integrity."
    },
    {
      "key": "program",
      "name": "Partner programs",
      "definition": "Brokerages and venues with published referral or introducing-broker programs."
    },
    {
      "key": "publication",
      "name": "Partner publications",
      "definition": "Research desks, journals, and newsletters we read, cite, and cross-publish with."
    }
  ],
  "count": 9,
  "partners": [
    {
      "id": "QIS-P-101",
      "slug": "quantconnect",
      "name": "QuantConnect",
      "tier": "tool",
      "url": "https://www.quantconnect.com/",
      "profile": "https://qisfund.com/partners/quantconnect",
      "atlas": "https://qisagent.com/atlas/quantconnect",
      "relationship": "editorial",
      "disclosure": "No commercial relationship. QuantConnect is listed on editorial merit and has no input into this description or its scores.",
      "description": "Cloud research and backtesting environment with an open-source engine (LEAN), a large public strategy library, and brokerage integrations for live deployment.",
      "strength": "The shortest documented path from a hypothesis to a live, reproducible backtest without standing up your own data infrastructure.",
      "caveat": "Cloud-hosted research means your execution environment is a dependency. LEAN being open source is the mitigation — read that before you commit.",
      "score": {
        "docs": 8,
        "access": 7,
        "data": 7,
        "interop": 8,
        "gov": 7
      },
      "score_aggregate": 7.4,
      "topics": [
        "platforms",
        "backtesting",
        "python"
      ],
      "modified": "2026-07-28"
    },
    {
      "id": "QIS-P-102",
      "slug": "vectorbt",
      "name": "vectorbt",
      "tier": "tool",
      "url": "https://vectorbt.dev/",
      "profile": "https://qisfund.com/partners/vectorbt",
      "atlas": "https://qisagent.com/atlas/vectorbt",
      "relationship": "editorial",
      "disclosure": "No commercial relationship. vectorbt is listed on editorial merit and has no input into this description or its scores.",
      "description": "Vectorised backtesting library built on NumPy and Numba, designed for testing large parameter spaces fast rather than simulating one strategy carefully.",
      "strength": "When the question is 'how does this behave across ten thousand parameter combinations', nothing else in Python is close on speed.",
      "caveat": "Speed comes from vectorisation, which makes path-dependent logic and realistic fill modelling harder. Know which question you are asking.",
      "score": {
        "docs": 7,
        "access": 9,
        "data": 6,
        "interop": 8,
        "gov": 6
      },
      "score_aggregate": 7.2,
      "topics": [
        "backtesting",
        "python"
      ],
      "modified": "2026-07-28"
    },
    {
      "id": "QIS-P-103",
      "slug": "mlfinlab",
      "name": "MLFinLab",
      "tier": "tool",
      "url": "https://github.com/hudson-and-thames/mlfinlab",
      "profile": "https://qisfund.com/partners/mlfinlab",
      "atlas": "https://qisagent.com/atlas/mlfinlab",
      "relationship": "editorial",
      "disclosure": "No commercial relationship. MLFinLab is listed on editorial merit and has no input into this description or its scores.",
      "description": "Implementations of the methods in López de Prado's financial machine learning work — triple-barrier labelling, fractional differentiation, purged cross-validation.",
      "strength": "Purged and embargoed cross-validation is the single most important defence against the leakage that makes most financial ML backtests worthless.",
      "caveat": "An implementation of a research programme, not a neutral toolkit. Understand the underlying methodology before trusting the outputs.",
      "score": {
        "docs": 7,
        "access": 8,
        "data": 5,
        "interop": 7,
        "gov": 6
      },
      "score_aggregate": 6.6,
      "topics": [
        "machine-learning",
        "research",
        "python"
      ],
      "modified": "2026-07-28"
    },
    {
      "id": "QIS-P-104",
      "slug": "numerai",
      "name": "Numerai",
      "tier": "tool",
      "url": "https://numer.ai/",
      "profile": "https://qisfund.com/partners/numerai",
      "atlas": "https://qisagent.com/atlas/numerai",
      "relationship": "editorial",
      "disclosure": "No commercial relationship. Numerai is listed on editorial merit and has no input into this description or its scores.",
      "description": "Crowdsourced hedge fund that distributes obfuscated, point-in-time features and aggregates staked model predictions into a single portfolio.",
      "strength": "The cleanest public demonstration that meta-modelling over many weak signals beats any single model — and the data is genuinely point-in-time.",
      "caveat": "Obfuscated features mean you cannot reason economically about what you are predicting. It is a modelling exercise, not a market education.",
      "score": {
        "docs": 8,
        "access": 9,
        "data": 9,
        "interop": 5,
        "gov": 8
      },
      "score_aggregate": 7.8,
      "topics": [
        "crowdsourced",
        "machine-learning",
        "research"
      ],
      "modified": "2026-07-28"
    },
    {
      "id": "QIS-P-201",
      "slug": "polygon-io",
      "name": "Polygon.io",
      "tier": "data",
      "url": "https://polygon.io/",
      "profile": "https://qisfund.com/partners/polygon-io",
      "atlas": "https://qisagent.com/atlas/polygon-io",
      "relationship": "editorial",
      "disclosure": "No commercial relationship. Polygon.io is listed on editorial merit and has no input into this description or its scores.",
      "description": "Market data API covering US equities, options, forex and crypto, with aggregates, trades, quotes, and websocket streaming on published tiers.",
      "strength": "Published pricing and published limits. You can size a project against it before writing a line of code, which is rarer than it should be.",
      "caveat": "Coverage depth varies by asset class. Verify the specific instruments and history depth you need before designing around it.",
      "score": {
        "docs": 9,
        "access": 9,
        "data": 8,
        "interop": 8,
        "gov": 7
      },
      "score_aggregate": 8.2,
      "topics": [
        "market-data",
        "api"
      ],
      "modified": "2026-07-28"
    },
    {
      "id": "QIS-P-202",
      "slug": "databento",
      "name": "Databento",
      "tier": "data",
      "url": "https://databento.com/",
      "profile": "https://qisfund.com/partners/databento",
      "atlas": "https://qisagent.com/atlas/databento",
      "relationship": "editorial",
      "disclosure": "No commercial relationship. Databento is listed on editorial merit and has no input into this description or its scores.",
      "description": "Normalised historical and live market data delivered from colocated capture, including full order book depth and nanosecond timestamps.",
      "strength": "Microstructure work needs capture-side timestamps and true book depth. This is one of the few places to get both without an exchange contract.",
      "caveat": "Usage-based pricing rewards knowing exactly what you need. Scope the query before you run it.",
      "score": {
        "docs": 9,
        "access": 8,
        "data": 9,
        "interop": 8,
        "gov": 8
      },
      "score_aggregate": 8.4,
      "topics": [
        "market-data",
        "microstructure"
      ],
      "modified": "2026-07-28"
    },
    {
      "id": "QIS-P-301",
      "slug": "interactive-brokers",
      "name": "Interactive Brokers",
      "tier": "program",
      "url": "https://www.interactivebrokers.com/",
      "profile": "https://qisfund.com/partners/interactive-brokers",
      "atlas": "https://qisagent.com/atlas/interactive-brokers",
      "relationship": "editorial",
      "disclosure": "No commercial relationship. Interactive Brokers is listed on editorial merit and has no input into this description or its scores.",
      "description": "Global multi-asset brokerage with programmatic access through TWS API, the Client Portal REST API, and the ib_insync ecosystem.",
      "strength": "Breadth. Equities, options, futures, FX and bonds across dozens of venues from one account and one API — the practical default for multi-asset systematic work.",
      "caveat": "The API surface is old and its conventions show it. Budget real time for connection handling and order state management.",
      "score": {
        "docs": 6,
        "access": 7,
        "data": 8,
        "interop": 7,
        "gov": 8
      },
      "score_aggregate": 7.2,
      "topics": [
        "execution",
        "brokerage",
        "api"
      ],
      "modified": "2026-07-28"
    },
    {
      "id": "QIS-P-302",
      "slug": "alpaca",
      "name": "Alpaca",
      "tier": "program",
      "url": "https://alpaca.markets/",
      "profile": "https://qisfund.com/partners/alpaca",
      "atlas": "https://qisagent.com/atlas/alpaca",
      "relationship": "editorial",
      "disclosure": "No commercial relationship. Alpaca is listed on editorial merit and has no input into this description or its scores.",
      "description": "API-first US equities and crypto brokerage with commission-free trading, a full paper-trading environment, and straightforward REST and websocket interfaces.",
      "strength": "The lowest-friction path from a working backtest to live paper trading. The paper environment mirrors production closely enough to be worth trusting.",
      "caveat": "US equities and crypto only. Payment for order flow economics apply — read the execution quality disclosures.",
      "score": {
        "docs": 9,
        "access": 9,
        "data": 7,
        "interop": 8,
        "gov": 7
      },
      "score_aggregate": 8.0,
      "topics": [
        "execution",
        "brokerage",
        "api"
      ],
      "modified": "2026-07-28"
    },
    {
      "id": "QIS-P-401",
      "slug": "qis-signals",
      "name": "The Signals Briefing",
      "tier": "publication",
      "url": "https://qisfund.com/signals/",
      "profile": "https://qisfund.com/partners/qis-signals",
      "atlas": null,
      "relationship": "editorial",
      "disclosure": "No commercial relationship. The Signals Briefing is listed on editorial merit and has no input into this description or its scores.",
      "description": "Our own weekly institutional-grade briefing on quantitative investment strategies — flows, structures, dealer platform developments, and governance.",
      "strength": "Published here, cited elsewhere. Open to cross-publication and syndication with any desk producing original QIS research.",
      "caveat": "Editorial, not advisory. Nothing in it is a recommendation.",
      "score": {
        "docs": 8,
        "access": 10,
        "data": 7,
        "interop": 9,
        "gov": 9
      },
      "score_aggregate": 8.6,
      "topics": [
        "newsletter",
        "research"
      ],
      "modified": "2026-07-28"
    }
  ]
}