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 ETH Bid-Ask Spreads — A Crypto Trader's Edge

Backtest Polymarket strategies with ETH Bid-Ask Spreads data — Resolved Markets ETH Bid-Ask Spreads for crypto traders. Tick-level Polymarket capture, sub-second arbitrage signals, free API.

Depth Chart ETH Bid-Ask Spreads
Mid: 0.5450 BIDS ASKS
Bids Asks
171 Live Markets
793.2M Snapshots Captured
20 Hz Capture Rate
7 Categories

ETH Bid-Ask Spreads 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.

ETH Bid-Ask Spreads is the difference between watching a market and trading it. Resolved Markets pipes BTC, ETH, SOL, and XRP prediction markets into one feed, with 20Hz capture against live crypto spot prices, so crypto traders can monitor depth, detect arbitrage, and time execution across BTC up/down tokens, ETH 1h settlements, SOL daily markets.

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

ETH Bid-Ask Spreads 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 ETH Bid-Ask Spreads

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 ETH Bid-Ask Spreads

1
Track institutional order flow in BTC up/down markets via depth imbalance from ETH Bid-Ask Spreads
2
Backtest mean-reversion strategies on historical ETH Bid-Ask Spreads spanning months of 20Hz capture
3
Use ETH Bid-Ask Spreads as input features for a PyTorch transformer trained on hourly crypto direction labels
4
Schedule a nightly cron job that snapshots ETH Bid-Ask Spreads into a DuckDB file for offline backtests
5
Cross-reference ETH Bid-Ask Spreads with Hyperliquid perp orderbooks at 1Hz to identify cross-venue arbitrage windows

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

ETH Bid-Ask Spreads 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 ETH Bid-Ask Spreads

Order flow toxicity measurement on BTC and ETH up/down markets
Volatility surface construction from prediction-market orderbook depth
ML-based regime detection (trending vs ranging) using ETH Bid-Ask Spreads order flow features
Whale order accumulation detection through anomalous depth growth at single price levels
Latency arbitrage measurement comparing ETH Bid-Ask Spreads timestamps against centralized exchange tape

Up and running in minutes

Three steps from signup to live ETH Bid-Ask Spreads 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 ETH Bid-Ask Spreads 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 ETH Bid-Ask Spreads snapshot: rm-api orderbook <marketId> --json
5
Run a quick backtest: rm-api backtest --strategy mean-reversion --crypto BTC

Wiring ETH Bid-Ask Spreads into your workflow

The fastest path for a crypto trader is WebSocket: connect, authenticate, subscribe to BTC (or any crypto symbol), and start receiving ETH Bid-Ask Spreads pushed directly into your strategy. Historical replay over REST or CLI handles the backtest loop.

  • Kafka Connect sink for piping ETH Bid-Ask Spreads into your existing event-streaming infrastructure
  • pip install resolvedmarkets — one-line Python SDK with async iterators for ETH Bid-Ask Spreads streams
  • npm install resolved-markets — TypeScript SDK with full type definitions for the 14-column schema

Why Crypto Traders pick ETH Bid-Ask Spreads

  • 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 ETH Bid-Ask Spreads matters

Crypto strategies that used to rely on perpetual funding rates now incorporate ETH Bid-Ask Spreads as a complementary signal. With Resolved Markets capturing BTC, ETH, SOL, and XRP prediction markets, crypto traders have a parallel dataset that frequently moves first.

ETH Bid-Ask Spreads in context

ETH Bid-Ask Spreads sits at the center of the crypto orderbook ecosystem. Crypto traders increasingly treat Polymarket as a leading indicator for spot moves — and ETH Bid-Ask Spreads is the format that lets them act on it. With 20Hz capture against live crypto spot prices, every quote shift in BTC up/down tokens, ETH 1h settlements, SOL daily markets is captured and time-stamped, so trading desks can model order flow at the same resolution they use for spot exchanges.

Frequently asked: ETH Bid-Ask Spreads 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.

  • Which crypto markets are covered for ETH Bid-Ask Spreads?

    Resolved Markets captures BTC, ETH, SOL, and XRP prediction markets including BTC up/down tokens, ETH 1h settlements, SOL daily markets. All 100+ active crypto contracts on Polymarket are continuously sampled.

  • What's the latency on ETH Bid-Ask Spreads for live crypto trading?

    WebSocket streaming pushes snapshots in well under a second. REST queries serve historical ETH Bid-Ask Spreads from ClickHouse in under 200ms — fast enough for production crypto trading systems.

  • Can I backtest crypto strategies on ETH Bid-Ask Spreads?

    Yes. 11.4M+ historical snapshots are stored in ClickHouse with millisecond timestamps. Crypto traders can replay any window of ETH Bid-Ask Spreads to validate strategies before deploying capital.

  • Does ETH Bid-Ask Spreads work with vectorbt, Backtrader, or zipline?

    Yes. Bulk CSV exports load directly into vectorbt's `Data` object, Backtrader's `PandasData` feed, or zipline's bundle ingest. The 14-column ClickHouse schema is designed to map cleanly to OHLCV-style backtesting frameworks once you derive a mid-price column.

  • How does ETH Bid-Ask Spreads compare to scraping Polymarket directly?

    Polymarket's public REST API rate-limits aggressively and updates every 1-2 seconds. ETH Bid-Ask Spreads captures at 20Hz with full bid/ask arrays, so you get 10-40x more state changes plus historical replay. No infrastructure overhead.

Related orderbook datasets

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