BTC$80,471.01 ETH$2,319.15 SOL$93.66 XRP$1.43 SPX18 markets Elon71 markets NBA64 markets NFL46 markets EPL18 markets FOMC12 markets Weather44 cities Hyperliquid4 perps
Live Polymarket Feed · 171 active markets

Resolved Markets Event-Driven Backtesting Data — A Crypto Trader's Edge

20Hz event driven backtesting data for crypto traders. Full BTC/ETH/SOL/XRP depth from Polymarket. WebSocket + REST. Free key.

Depth Chart Event-Driven Backtesting Data
Mid: 0.5450 BIDS ASKS
Bids Asks
171 Live Markets
793.2M Snapshots Captured
20 Hz Capture Rate
7 Categories

Event-Driven Backtesting Data for Crypto Traders

Resolved Markets delivers real-time orderbook snapshots from Polymarket's crypto prediction markets at 20Hz capture rates, enabling crypto traders to identify mispricing across BTC, ETH, SOL, and XRP up/down markets before they move. Access full bid/ask depth arrays with millisecond-precision timestamps, allowing you to analyze market microstructure and detect arbitrage opportunities between prediction markets and spot/derivatives exchanges. The platform tracks 11.4M+ snapshots across 100+ markets with WebSocket streaming integration, eliminating delays in your algorithmic trading workflows and providing the competitive edge needed in fast-moving prediction markets.

Crypto traders chasing alpha on Polymarket need more than spot prices — they need Event-Driven Backtesting Data. Resolved Markets captures research-grade prediction-market data at 20Hz, exposing the bid-ask shifts that move before consensus. With 11.4M+ snapshots across 7 prediction-market categories, crypto traders watching regime detection, arbitrage backtests, sentiment indices, factor models can react to mispricing before competitors finish polling.

Live snapshot: Resolved Markets is currently tracking 171 active Polymarket contracts and has captured 793.2M orderbook snapshots. Latest update: 2026-05-09 03:14:12.061.

Data challenges Crypto Traders run into

Event-Driven Backtesting Data from Resolved Markets is built around the data gaps Crypto Traders hit when they try to work with raw Polymarket feeds.

01

Slow orderbook data access creates arbitrage lag

Traditional crypto exchanges provide orderbook updates at variable intervals, often 1-5 second delays. Prediction markets on Polymarket move rapidly with bid/ask spreads that shift within milliseconds. Without 20Hz capture rates and low-latency WebSocket feeds, traders miss alpha-generating opportunities before the market reprices. Resolved Markets' continuous snapshots ensure you never miss critical microstructure signals.

02

Fragmented data sources across exchanges

Crypto traders monitor spot markets, derivatives, and prediction markets separately, manually reconciling data from multiple APIs. This fragmentation creates blind spots where cross-market arbitrage opportunities go undetected. Resolved Markets aggregates BTC, ETH, SOL, and XRP prediction market orderbooks in one unified platform with consistent formatting and timestamps, enabling holistic market analysis without data integration overhead.

03

Missing high-frequency capture for fast markets

Most prediction market data providers capture snapshots every 5-60 seconds, missing the high-frequency dynamics crucial for algorithmic trading. Polymarket crypto markets experience bid/ask shifts at sub-second intervals, especially during volatile news events. Resolved Markets' 20Hz sampling rate captures the full granularity of order flow changes, revealing market microstructure patterns invisible at lower frequencies.

04

Lack of unified crypto prediction market data

Cryptocurrency prediction markets remain fragmented across platforms with inconsistent data formats and update frequencies. Traders building crypto-focused strategies need standardized, continuously-updated orderbook depth from Polymarket's largest crypto markets. Resolved Markets consolidates 100+ crypto-related prediction markets with uniform data schemas, millisecond timestamps, and full bid/ask depth arrays, enabling seamless integration into trading systems.

Built for quantitative work on Event-Driven Backtesting Data

Orderbook-level prediction-market data that doesn't exist anywhere else.

01

Detect sub-second arbitrage opportunities

With 20Hz orderbook snapshots and millisecond timestamps, you can identify moments when prediction market prices diverge from rational valuations faster than competitors. Full bid/ask depth arrays reveal liquidity layers and hidden orders, exposing inefficiencies that exist for only fractions of a second. Resolved Markets' WebSocket streaming pushes updates directly to your algorithms, eliminating poll latency and enabling millisecond-scale trade execution before prices adjust.

02

Optimize trade execution across prediction markets

Prediction markets often show better informed trading activity ahead of spot market moves, especially in crypto. Resolved Markets' continuous orderbook data lets you quantify order flow toxicity, estimate intent from bid/ask clustering, and optimize execution timing across prediction and spot markets. Historical snapshots in ClickHouse storage enable rapid backtesting of execution strategies against months of real orderbook data.

03

Monitor market microstructure in real-time

Most market participants analyze only the best bid/ask, missing crucial information in deeper orderbook layers. Resolved Markets provides full depth arrays showing all resting orders, allowing you to model market impact, detect spoofing patterns, and gauge institutional positioning. Real-time microstructure analytics help you identify when large orders are being accumulated or unwound, giving you directional alpha.

04

Automate trading strategies with reliable feeds

Manual API integration with Polymarket and other sources introduces operational risk and code maintenance burden. Resolved Markets offers production-ready REST and WebSocket APIs with automatic retry logic, connection pooling, and guaranteed data continuity. Deploy trading strategies immediately without worrying about data reliability—our free tier requires no credit card, letting you validate your approach risk-free before committing to infrastructure.

Research Applications
Spread analysis and market making simulation
Liquidity depth profiling across categories
Implied probability vs realized outcomes
Market microstructure and order flow analysis
Weather derivative research across 44 cities
Cross-category correlation studies

How Crypto Traders use Event-Driven Backtesting Data

1
Generate alpha signals from bid-ask imbalance in regime detection, arbitrage backtests, sentiment indices, factor models
2
Detect mispricings between regime detection, arbitrage backtests, sentiment indices, factor models and spot exchanges in real time using Event-Driven Backtesting Data
3
Construct an alternative sentiment index from Event-Driven Backtesting Data
4
Backtest pairs trades using Event-Driven Backtesting Data as the primary signal source
5
Build a risk-parity strategy that incorporates Event-Driven Backtesting Data as an alternative asset class

Seven categories, hundreds of markets

Prediction markets across crypto, sports, economics, weather, and more — live and historical orderbook data, all queryable through one API.

16 markets

Crypto

BTC, ETH, SOL, XRP — up/down markets every 5m to 1d.

18 markets

Equities

S&P 500 (SPX) daily open — up or down predictions.

71 markets

Social

Elon Musk tweet counts — weekly prediction ranges.

64 markets

Sports

NBA, NFL, EPL — game outcomes and season predictions.

12 markets

Economics

Fed decisions, jobs reports — FOMC meetings and macro data.

78 markets

Weather

44 cities daily — temperature, hurricanes, Arctic ice.

4 pairs

Hyperliquid

BTC, ETH, SOL, XRP perp orderbooks — 1/sec sampling.

Tick-level orderbook snapshots

Every snapshot includes full bid/ask depth, mid prices, spreads, and crypto spot price.

polymarket.snapshots_hf 793.2M rows
SideBidSizeAskSizeSpread
UP0.54001,2400.55001,1001.00%
UP0.53009800.56001,4503.00%
UP0.52001,5600.57008905.00%
UP0.51002,1000.58002,3007.00%
UP0.50001,8000.59001,7009.00%
UP0.49003,2000.60003,10011.00%
Schema 14 columns
cryptoLowCardinality(String)BTC
timeframeLowCardinality(String)5m
token_sideEnum8('UP','DOWN')UP
timestampDateTime64(3)2026-05-09 03:14:12.061
crypto_priceFloat64$80,471.01
best_bidFloat640.5400
best_askFloat640.5500
mid_priceFloat640.5450
spreadFloat640.0100
bidsArray(Tuple(F64,F64))[(0.54,1240),...]
asksArray(Tuple(F64,F64))[(0.55,1100),...]

Comprehensive market coverage

Prediction markets across multiple categories, captured continuously with high-frequency precision.

7
Categories
Crypto Sports Economics Weather
171
Active Markets
BTC ETH SOL XRP + sports, econ, weather
44
Weather Cities
Daily prediction-market capture across global cities.
20 Hz
Capture Rate
Crypto 20 Hz Sports 2 Hz Econ 1 Hz

Event-Driven Backtesting Data ships with

20Hz crypto orderbook snapshots
WebSocket streaming for real-time bid/ask depth
Cross-exchange arbitrage detection tools
Millisecond-precision timestamp data
REST API for historical orderbook analysis
Market microstructure analytics dashboard

What Crypto Traders build with Event-Driven Backtesting Data

Whale activity tracking through depth shifts at key prices
Cross-exchange latency arbitrage between Polymarket, Binance, and Hyperliquid
Sentiment-driven sector rotation in equity portfolios
Quant research libraries built around Event-Driven Backtesting Data
Alternative factor construction across crypto, sports, and macro

Up and running in minutes

Three steps from signup to live Event-Driven Backtesting Data in your application.

1

Get Your API Key

Generate a free API key instantly. No credit card. Just click and go.

Sign Up Free
2

Explore the API

Browse 11 endpoints with live examples. Test requests directly from the docs.

API Reference
3

Start Building

Integrate live Event-Driven Backtesting Data into your research pipeline, trading bot, or analytics platform.

fetch('/v1/markets/live', { headers: { 'X-API-Key': key } })
1
Create a free account at resolvedmarkets.com — no credit card required
2
Install the CLI: npm install -g resolved-markets-cli && rm-api config --set-key rm_your_key
3
List active crypto markets: rm-api markets -c crypto
4
Pull your first Event-Driven Backtesting Data snapshot: rm-api orderbook <marketId> --json
5
Run a quick backtest: rm-api backtest --strategy mean-reversion --crypto BTC

Wiring Event-Driven Backtesting Data into your workflow

A typical crypto setup pulls Event-Driven Backtesting Data into a Python notebook via REST, validates the strategy on ClickHouse history, then promotes it to a production WebSocket feed. The CLI handles the bulk-download phase; MCP plugs the same data into AI trading agents.

  • Native Zipline bundle for backtesting
  • Polygon.io-compatible REST shim
  • QuantConnect Lean engine adapter

Why Crypto Traders pick Event-Driven Backtesting Data

  • Only prediction market API capturing crypto orderbooks at 20Hz with full bid/ask depth and millisecond timestamps
  • Real-time WebSocket streaming eliminates latency between price movement and your algorithm execution
  • Historical ClickHouse-backed data enables rigorous backtesting of orderbook-based strategies across 11.4M+ snapshots
  • Free tier access with no credit card required—validate arbitrage opportunities before scaling production deployments

Why Event-Driven Backtesting Data matters

Crypto traders gravitate to Event-Driven Backtesting Data because it surfaces conviction, not just direction. Bid/ask depth on regime detection, arbitrage backtests, sentiment indices, factor models shows where capital is queued — the kind of signal that pure spot prices simply can't provide.

Event-Driven Backtesting Data in context

Event-Driven Backtesting Data sits at the center of the prediction-market research layer. Crypto traders increasingly treat Polymarket as a leading indicator for spot moves — and Event-Driven Backtesting Data is the format that lets them act on it. With 11.4M+ snapshots across 7 prediction-market categories, every quote shift in regime detection, arbitrage backtests, sentiment indices, factor models is captured and time-stamped, so trading desks can model order flow at the same resolution they use for spot exchanges.

Frequently asked: Event-Driven Backtesting Data for Crypto Traders

  • How does 20Hz orderbook capture compare to manual Polymarket API polling?

    Polymarket's public REST API typically updates every 1-2 seconds and requires continuous polling, introducing network latency and rate limits. Resolved Markets continuously captures orderbooks at 20Hz (every 50ms), with millisecond timestamps and WebSocket push delivery, ensuring you never miss rapid bid/ask shifts. This 10-40x frequency advantage is critical for algorithmic trading where market conditions change within seconds.

  • Can I use Resolved Markets data to detect spread arbitrage between crypto prediction markets and spot exchanges?

    Yes—that's a primary use case. Our REST API lets you query historical orderbook depth across BTC, ETH, SOL, and XRP prediction markets, while WebSocket streaming provides real-time bid/ask for live strategy execution. By correlating prediction market prices against spot/futures data, you can identify moments when prediction prices lag the underlying asset, enabling profitable cross-market arbitrage with minimal slippage.

  • What orderbook data depth is available, and how far back does historical data extend?

    Resolved Markets captures full bid/ask depth arrays (all resting orders, not just the best level) with millisecond timestamps. Historical snapshots extend back months, stored in ClickHouse for efficient time-range queries. You can analyze order accumulation patterns, estimate market impact, and backtest strategies against complete microstructure data without sampling bias.

  • Does WebSocket streaming cover all crypto prediction markets, or just major ones like BTC/ETH?

    WebSocket streams cover 100+ prediction markets across all categories, including BTC, ETH, SOL, XRP and lower-volume altcoin markets. Subscribe to specific market symbols to receive 20Hz updates only for the markets relevant to your strategy, reducing bandwidth consumption while maintaining coverage. Custom filtering ensures your algorithms process only actionable orderbook changes.

  • How reliable is the orderbook data for live trading, and what's your data accuracy guarantee?

    Resolved Markets continuously validates orderbook snapshots against Polymarket's canonical state and provides millisecond-precision timestamps for event correlation. WebSocket connections include automatic reconnection with gap-fill logic—if a connection drops, we immediately backfill missing snapshots so your algorithms never trade on stale data. Free tier includes uptime SLA monitoring; production accounts get dedicated support for zero-downtime deployments.

  • What's the latency on Event-Driven Backtesting Data for live crypto trading?

    WebSocket streaming pushes snapshots in well under a second. REST queries serve historical Event-Driven Backtesting Data from ClickHouse in under 200ms — fast enough for production crypto trading systems.

  • Can I backtest crypto strategies on Event-Driven Backtesting Data?

    Yes. 11.4M+ historical snapshots are stored in ClickHouse with millisecond timestamps. Crypto traders can replay any window of Event-Driven Backtesting Data to validate strategies before deploying capital.

  • How is Resolved Markets Event-Driven Backtesting Data different from polling Polymarket directly?

    Polymarket's public API updates every 1-2 seconds with rate limits. Resolved Markets ships Event-Driven Backtesting Data at 20Hz with full bid/ask arrays, ClickHouse history, and four delivery channels (REST, WebSocket, CLI, MCP).

  • Is there published research using Event-Driven Backtesting Data?

    Yes — academic and industry researchers have published work on prediction-market microstructure using Resolved Markets data. The dataset is documented and reproducible, which makes it suitable for peer review.

  • Can Event-Driven Backtesting Data be used in a portfolio context?

    Yes. Many funds treat prediction markets as an alternative sleeve and use Event-Driven Backtesting Data as the structured data feed. Risk-parity, factor-tilting, and sentiment-overlay strategies all consume Event-Driven Backtesting Data.

Related orderbook datasets

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