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NautilusTrader

Posición #26 en PolymarketInfrastructurePrimera ejecución 2026-04-29Datos hasta 2026-09-15@NautilusTrader

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NautilusTrader is an open-source algorithmic trading engine, built in Rust, that connects to Polymarket's CLOB for data and order execution alongside equities, futures, options, FX and crypto venues. It suits developers and quant traders who write and backtest strategies in code, not traders wanting a point-and-click app. Fit depends on comfort running your own trading infrastructure.

Valoración escrita el 2026-09-13. Todas sus cifras son en vivo.

Volumen, últimos 7 días
$1.4M

+16.7% frente a los siete días anteriores.

Traders por día
68

Media de traders atribuidos distintos por día durante la última semana.

Ejecuciones, últimos 7 días
99K

Ejecución media histórica $17.

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Posición
#26Por volumen atribuido histórico
Categoría
Infrastructure
Volumen, histórico
$32.9M
Volumen, últimos 7 días
$1.8M+10.2% frente a la semana anterior
Comisión declarada
La tarifa que declara el propio builder
Ejecución media
$17
Traders por día
69Media de la última semana
Carteras, últimos 30 días
177
Lado compra
78.8%
Primera ejecución
2026-04-29141 días con actividad
Ejecuciones, histórico
1.8M

El volumen y la posición vienen de la clasificación de builders de Polymarket; comisiones, ejecuciones y lados, de la actividad indexada de CLOB V2 hasta 2026-09-15.

Actividad diaria

Volumen atribuidoTraders activos

What it is

NautilusTrader is an open-source algorithmic trading platform built around a Rust-native, event-driven core, with strategy logic written in Python or pure Rust. It targets developers who want backtest and live trading to share the same engine semantics, running across equities, futures, options, FX, crypto, perpetuals and prediction markets rather than just Polymarket.

On Polymarket, the platform connects through nautilus-polymarket, an adapter written in Rust with Python bindings, giving both a data client and an execution client. It streams order books, quotes and trades from Polymarket's central limit order book, signs orders with typed data in the Rust core, and auto-loads markets from the Gamma API as they appear, closing resolved markets on its own. Outcome tokens are represented as binary option instruments settled through the Conditional Token Framework, with collateral held as pUSD, a Polygon token backed by USDC, and positions kept as conditional tokens under the trader's own wallet.

How it works

A trader installs the NautilusTrader Python package, or builds from source, and configures a live trading node with the Polymarket data and execution client factories. Strategy code, written in Python or Rust, runs against the same engine used for backtesting, so a system tested against historical data can be pointed at live Polymarket markets with the same logic and configuration rather than a rewrite.

Orders route to Polymarket's own central limit order book over the CLOB API. The Rust core signs each order with typed data before submission, and the adapter can rest limit orders on the book or send marketable orders that fill immediately or cancel. Multiple signature types are supported, so the wallet configuration a trader chooses at setup determines how orders get signed, not the strategy code itself.

The platform itself does not hold trader funds. Collateral sits in pUSD, backed by USDC on Polygon, and positions are kept as conditional tokens in the trader's own wallet rather than in a NautilusTrader-controlled account. Reconciliation runs against a trader's active orders and Data API positions, so the engine's local state is checked against what Polymarket itself records rather than assumed.

What it does

  • Backtest to live parity

    Strategy logic runs unchanged from backtesting into live Polymarket execution, cutting the risk of behavior diverging between testing and production.

  • Automatic market discovery

    The adapter auto-loads new Polymarket markets from the Gamma API and closes resolved ones without manual intervention.

  • Configurable simulation models

    Backtests can be run with adjustable fill, fee, latency and order book models, letting a trader stress-test a strategy before it risks funds.

  • Order and position reconciliation

    The engine checks its own state against a trader's live orders and Data API positions rather than trusting local state alone.

  • Multiple signature types

    Support for several Polymarket signing configurations gives flexibility across different wallet setups without changing strategy code.

Who it is for

Quant developers writing strategies
Traders who prefer to code strategy logic in Python or Rust get a single engine that runs the same way in backtest and live Polymarket trading.
Multi-venue algorithmic traders
Anyone running strategies across equities, futures, FX or crypto alongside Polymarket can manage all of it inside one engine instead of separate tools.
Teams backtesting before going live
Strategies can be simulated with configurable fill, fee and latency models before any order reaches Polymarket, useful for anyone who wants evidence before risking funds.
Engineers building custom infrastructure
Traders comfortable maintaining their own deployment can use the Rust adapter and Python bindings directly rather than relying on a hosted interface.
Traders wanting reconciled positions
Anyone who wants execution checked against Polymarket's own order and position records, not just local state, gets that built into the engine's reconciliation.

What it costs

NautilusTrader publishes no fee schedule of its own; the operator's pages describe integration mechanics, not pricing, so the software carries no advertised rate to compare against. What a trader pays on Polymarket is set by Polymarket per market and applies the same regardless of which builder routes the order, so it says nothing about this tool specifically. Fills routed through this cohort average $17, worth checking against the size a trader actually intends to trade before assuming the same execution behavior applies. Before connecting, a trader should confirm current Polymarket fee terms directly on the market being traded rather than assume any figure here reflects wallet-level pricing.

Strengths

  • It runs backtest and live strategies on the same engine, reducing the chance that tested logic behaves differently once it trades real Polymarket funds.
  • The Polymarket adapter is written in Rust with Python bindings, giving low-level execution speed without forcing every trader to write Rust.
  • It automatically discovers new Polymarket markets and closes resolved ones, so strategies do not need manual market bookkeeping.
  • Positions are held as conditional tokens in the trader's own wallet rather than pooled with the platform.
  • It reconciles orders and positions against Polymarket's own records instead of trusting local state alone.
  • It covers many asset classes beyond Polymarket, useful for traders who want one engine across venues.

Limitations

  • The operator publishes no fee schedule for the platform itself, leaving cost assumptions to Polymarket's per-market rate alone.
  • Running it requires installing a Python package or building from source and configuring a live node, not a plug-and-play setup.
  • There is no point-and-click interface; a trader who cannot write or configure strategy code has no way to use it.
  • The evidence does not describe a hosted or managed version, so a trader takes on the operational burden of running and monitoring their own node.

Custody and transparency

NautilusTrader does not custody trader funds; collateral sits in pUSD backed by USDC on Polygon, and positions are kept as conditional tokens in the trader's own wallet rather than an account controlled by the platform. Order signing happens in the Rust core using the wallet configuration the trader supplies, and the engine reconciles its local state against a trader's active orders and Data API positions on Polymarket rather than assuming its records are correct. The operator publishes integration documentation and open-source code rather than an audited fee or security disclosure, so operational risk sits mostly with how carefully a trader configures and runs their own node.

Verdict

NautilusTrader sits at #26 by attributed volume on Polymarket, built for traders who want to write, backtest and deploy strategy code rather than click through a terminal. The Rust-native execution path and reconciliation against Polymarket's own records suit anyone running systematic strategies who values engine parity between testing and live trading. It fits developers and quant desks comfortable maintaining their own infrastructure and reading integration documentation. It does not fit a trader looking for a simple app to place manual bets or a fee schedule to compare before connecting; that trader should look elsewhere.

PuntuaciónEl 100% de la ponderación tiene datos
3.0sobre 5
  • TracciónPeso 35%

    attributed volume over the last seven complete days

  • AlcancePeso 30%

    69 distinct traders per day

  • TrayectoriaPeso 20%

    routing since 2026-04-29

  • TransparenciaPeso 15%

    verified profile, no published fee, public site

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nautilustrader.io

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Questions

  • What is NautilusTrader?

    NautilusTrader is an open-source, Rust-native algorithmic trading platform that lets developers write strategies in Python or Rust and run the same logic in backtesting and live trading, including on Polymarket.

  • Is NautilusTrader safe to route Polymarket orders through?

    It does not hold trader funds; collateral and positions stay in the trader's own wallet, and the engine reconciles orders and positions against Polymarket's own records rather than trusting local state alone.

  • What does NautilusTrader charge on Polymarket?

    The operator publishes no fee schedule for the platform itself. Polymarket's own trading fee applies per market regardless of which builder routes the order, so check that fee before trading rather than looking for a platform rate.

  • Does NautilusTrader run only on Polymarket?

    No, it is a multi-asset engine that also handles equities, futures, options, FX, crypto and perpetuals, with Polymarket integrated as one supported venue through its own adapter.

  • What are the alternatives to NautilusTrader for trading Polymarket?

    Other builders route Polymarket order flow through their own apps, bots or terminals; the choice between them comes down to whether a trader wants to write strategy code or use a ready-made interface.

  • Does NautilusTrader hold custody of funds?

    No. Collateral is held as pUSD backed by USDC on Polygon, and positions are kept as conditional tokens directly in the trader's own wallet, not in an account the platform controls.

Mercados más operados

Volumen atribuido en los últimos 30 días.

No hay composición de mercados reciente disponible.

Mezcla de categorías

A dónde va el flujo de este builder, últimos 30 días.

No hay composición de mercados reciente disponible.

Alternativas

Los otros builders de la categoría Infrastructure entre los que elegiría un trader, con las mismas mediciones.

Los 12 de esta categoría
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NANautilusTraderEste
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Traders que enrutan a través de este builder

177 carteras operaron a través de este builder en los últimos 30 días, ordenadas por P&L realizado.

El P&L es el resultado global en Polymarket de cada cartera, no el beneficio atribuible a este builder. El builder solo determina qué carteras se listan.

#CarteraP&L realizado 30dVolumen enrutado
10x88ec…ec61$24K$2M
20x6e02…d70a$16K$254K
30x534b…9141$6K$307
40x91a9…f793$2K$83K
50xe2a9…50cb$1K$659K
60x1a5d…caed$1K$35K
70x4616…a910$848$17K
80xf05a…38f3$841$13K
90xd77d…cfb8$643$210K
100x63ea…63d3$599$26K
110xec4c…6ad4$544$35K
120xd14f…fa29$509$10K
130x02f1…013e$310$13K
140xf23c…0a16$257$4K
150xf753…93c2$194$75K
160x1f07…7573$191$91K
170xd5a0…2537$190$67K
180xcf9a…a231$175$4K
190x315b…f6e0$131$3K
200xadf1…6460$130$124
210xccad…46ec$120$12K
220x043c…32a5$95$164
230x6cfe…86a0$91$55K
240x5f9f…a179$80$28K
250xff26…52c6$77$21K

Cómo se miden estas cifras

Polymarket informa de $32.9M de volumen histórico para NautilusTrader, incluida la atribución anterior a la V2 onchain. La cifra indexada que se usa para comisiones, tamaños de ejecución y reparto compra/venta es $29.5M, contabilizada como nocional a la par de participaciones de resultado solo en CLOB V2, por lo que ambos totales difieren por diseño.

El 78.8% del volumen atribuido es del lado de compra, lo que indica si el sitio se usa sobre todo para abrir posiciones o para cerrarlas.

La valoración escrita de esta página es editorial y se regenera periódicamente; todas sus cifras se resuelven a partir de los datos en vivo de arriba en el momento en que se renderiza la página.