PolyBackTest
Sub-second Polymarket order book data for rigorous backtesting and strategy development.
Product memo
Targets quant traders and researchers in the Polymarket ecosystem who demand granular, low-latency historical data. Its wedge is delivering the first dataset with full historical order book depth at sub-second resolution, a capability legacy data providers ignore. This unique access to high-fidelity data creates a defensible moat through specialized collection infrastructure, enabling precise backtesting of fills, spreads, and slippage.
For who
Quant traders, researchers, and developers
Solves what
Provides sub-second historical Polymarket order book data for strategy backtesting.
- Sub-second order book snapshots
- Full bid/ask data
- Developer-friendly REST API
In their own words
Backtest Polymarket
Up/Down Markets with Real Order Book Data
The first Polymarket dataset with full historical order book depth at sub-second resolution - backtest fills, spreads, and slippage with Price-level context.
Commercial cues
Model
usage_based
Free tier
Yes
Trial
No
Basic
Market History Access (limited) · Unlimited Snapshots · Sub-second snapshots
AI Plan
AI-Powered Backtesting · AI-Generated Strategy Analysis · Unlimited Access to Strategy Builder
Pro
CustomPolymarket Full historical order books · BTC/ETH/SOL OHLC Data · REST API Access
Plus
CustomPolymarket Full historical order books · BTC/ETH/SOL OHLC Data · REST API Access
Boost
CustomPolymarket Full historical order books · BTC/ETH/SOL OHLC Data · REST API Access
Dedicated Infrastructure
CustomIsolated performance · Custom subdomain · Choice of region (EU/US)
Pricing Strategy
Offers a usage-based SaaS model, including a free tier for basic access, with paid plans scaling by API rate limits and an AI add-on.
- • Provides a free tier for limited historical data access, hooking in users to test the data quality.
- • Implements tiered API rate limits (requests per second/minute) for paid plans, monetizing heavier usage.
- • Offers an AI Plan as a distinct add-on, upselling advanced users on strategy generation capabilities.
Operator context
Founded
Feb 2026
HQ
Australia
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Small Team
Targets quant traders with a unique sub-second Polymarket order book data wedge, monetized via API rate limits and an AI add-on.
Unfair Advantages
-
Proprietary Data First-mover advantage with unique sub-second Polymarket order book data.
-
High Switching Cost Deep integration into quant workflows with specialized data infrastructure.
Builder Lesson
Build defensibility by collecting unique, granular data that incumbents cannot easily replicate or offer.
Full Reasoning
Wins by owning a hyper-specific data niche: sub-second Polymarket order books that larger data providers overlook. The asymmetric bet is on data granularity and low-latency infrastructure, creating a moat that's difficult to replicate. Other builders should focus on acquiring unique datasets or building specialized infrastructure for underserved niches to establish defensibility, rather than competing head-on with incumbents.
About PolyBackTest Expand
PolyBackTest delivers essential infrastructure for quantitative traders, researchers, and developers operating within the Polymarket ecosystem. It offers sub-second historical Polymarket order book data, a critical resource for anyone looking to rigorously backtest trading strategies.
Unlike generic market data providers, PolyBackTest specializes in capturing full historical order book depth at an unparalleled resolution, allowing users to analyze fills, spreads, and slippage with granular price-level context. This focus on high-fidelity, niche-specific data positions PolyBackTest as a go-to platform for those who need to move beyond surface-level analysis.
The platform includes a REST API for seamless integration into existing workflows, alongside Binance reference data to provide broader market context. With a free tier available, users can explore its capabilities before committing to advanced plans that include an AI add-on for strategy generation, catering to both individual researchers and institutional-grade operations.