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NautilusTrader

Polymarket 26위Infrastructure첫 체결 2026-04-292026-09-15까지의 데이터@NautilusTrader

NautilusTrader 열기

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.

2026-09-13에 작성된 평가입니다. 안에 담긴 모든 수치는 실시간입니다.

최근 7일 거래량
$1.4M

직전 7일 대비 +16.7%.

일평균 트레이더
68

최근 1주간 하루 평균 귀속 개별 트레이더 수.

최근 7일 체결
99K

전체 기간 평균 체결 $17.

한눈에 보기

비교에 필요한 모든 수치를 한 블록에.

순위
#26전체 기간 귀속 거래량 기준
카테고리
Infrastructure
전체 기간 거래량
$32.9M
최근 7일 거래량
$1.8M직전 주 대비 +10.2%
신고된 수수료
빌더가 스스로 공시한 요율
평균 체결
$17
일평균 트레이더
69최근 1주 평균
최근 30일 지갑
177
매수 측
78.8%
첫 체결
2026-04-29활동일 141일
전체 기간 체결
1.8M

거래량과 순위는 Polymarket 빌더 리더보드에서, 수수료·체결·매수 매도 비중은 2026-09-15까지 색인된 CLOB V2 활동에서 가져옵니다.

일별 활동

귀속 거래량활성 트레이더

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.

점수가중치의 100%에 데이터 있음
3.05점 만점
  • 성장세가중치 35%

    attributed volume over the last seven complete days

  • 도달가중치 30%

    69 distinct traders per day

  • 운영 이력가중치 20%

    routing since 2026-04-29

  • 투명성가중치 15%

    verified profile, no published fee, public site

NautilusTrader를 열어 직접 확인하세요

nautilustrader.io

NautilusTrader 열기

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.

가장 많이 거래된 시장

최근 30일 귀속 거래량.

최근 시장 구성 데이터가 없습니다.

카테고리 구성

최근 30일간 이 빌더의 거래 흐름이 향한 곳.

최근 시장 구성 데이터가 없습니다.

대안

같은 지표로 비교한, 트레이더가 함께 고려할 다른 Infrastructure 빌더들.

이 카테고리 전체 12개
빌더전체 기간
NANautilusTrader현재 빌더
$32.9M
$28.7M
$481K
$84K
$27K

이 빌더를 통해 거래한 트레이더

최근 30일간 177개 지갑이 이 빌더를 통해 거래했으며, 실현 PnL 기준 순위입니다.

PnL은 각 지갑의 Polymarket 전체 실적이며, 이 빌더에 귀속되는 수익이 아닙니다. 빌더는 어떤 지갑이 목록에 오르는지만 결정합니다.

#지갑30일 실현 PnL라우팅된 거래량
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

이 수치의 측정 방식

Polymarket은 NautilusTrader의 전체 기간 거래량을 $32.9M로 보고하며, 여기에는 온체인 V2 이전의 귀속분이 포함됩니다. 수수료, 체결 규모, 매수·매도 비중 계산에 사용하는 색인 수치는 $29.5M로, CLOB V2의 결과 지분 액면 명목 금액만 집계하므로 두 합계는 설계상 다릅니다.

귀속 거래량의 78.8%가 매수 측이며, 이는 이 플랫폼이 주로 포지션 진입에 쓰이는지 청산에 쓰이는지를 보여줍니다.

이 페이지의 서술형 평가는 편집 콘텐츠이며 주기적으로 재생성됩니다. 그 안의 모든 수치는 페이지가 렌더링되는 시점에 위의 실시간 데이터에서 산출됩니다.