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

Millisecond Timestamp Data for Economic Analysts

Backtest Polymarket strategies with Millisecond Timestamp Data data — Millisecond Timestamp Data for economic analysts: real-time FOMC, CPI, and jobs prediction markets with full depth.

Depth Chart Millisecond Timestamp Data
Mid: 0.5450 BIDS ASKS
Bids Asks
171 Live Markets
793.2M Snapshots Captured
20 Hz Capture Rate
7 Categories

Millisecond Timestamp Data for Economic Analysts

Resolved Markets provides economic analysts with real-time prediction market data that captures market sentiment on critical macroeconomic events. Our platform tracks FOMC decision markets, jobs reports, CPI releases, and other key economic indicators through continuous orderbook snapshots from Polymarket. With 11.4M+ historical snapshots and a 20Hz capture rate, you gain millisecond-precision insights into how traders price economic outcomes before official releases. The API delivers full bid/ask depth arrays with timestamps, enabling you to analyze market expectations, volatility patterns, and consensus shifts across multiple timeframes. Economic analysts leverage this data to validate forecasting models, identify market inefficiencies, and understand real-time sentiment on monetary policy, employment, and inflation dynamics.

Millisecond Timestamp Data is a leading-indicator dataset for economic analysts. Resolved Markets ships the 14-column ClickHouse orderbook schema as continuous orderbook depth, so economists can read consensus on best_bid, best_ask, mid_price, spread, bids[], asks[] the moment it shifts.

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 Economic Analysts run into

Millisecond Timestamp Data from Resolved Markets is built around the data gaps Economic Analysts hit when they try to work with raw Polymarket feeds.

01

Delayed access to market sentiment on economic events

Traditional economic forecasting relies on surveys and historical data that lag actual market behavior. Resolved Markets solves this by providing real-time orderbook snapshots that reflect trader expectations milliseconds after new information emerges. Instead of waiting for official releases, you access continuous market data that shows how pricing evolves throughout FOMC decision periods, jobs report windows, and CPI announcement cycles. This enables faster validation of economic hypotheses and earlier detection of consensus shifts.

02

Inability to capture orderbook dynamics before major releases

Orderbook depth changes reveal crucial information about market confidence and disagreement. When bid/ask spreads widen during uncertain periods, it signals lower consensus; when they narrow, it indicates stronger agreement. Resolved Markets captures these dynamics at 20Hz for crypto markets and across all economic prediction markets on Polymarket, giving you the precision needed for volatility analysis and sentiment quantification that traditional data sources cannot provide.

03

Fragmented data across multiple market sources

Economic data comes fragmented across government databases, financial terminals, and survey platforms. Unified access to Polymarket's prediction markets through a single API eliminates this fragmentation. All economic markets—FOMC decisions, employment figures, inflation indicators, and GDP forecasts—are accessible through consistent endpoints with standardized timestamps and depth arrays, simplifying integration into analytical workflows.

04

Lack of granular timing data for econometric modeling

Economic models require precise timing data to correlate market movements with information arrival. Resolved Markets provides millisecond-level timestamps for every orderbook snapshot, enabling you to construct event study windows with sub-second accuracy. This granularity supports advanced econometric techniques like high-frequency impulse response analysis and precise volatility clustering studies that rely on exact timing correlation.

Built for quantitative work on Millisecond Timestamp Data

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

01

Access real-time market expectations on major economic events

Prediction markets aggregate dispersed knowledge from thousands of traders with real monetary incentives. Resolved Markets gives you direct access to this collective intelligence through continuous orderbook snapshots on FOMC decisions, jobs reports, and economic releases. Track how market expectations evolve from weeks before an event through the release window, capturing the full spectrum of sentiment changes. This real-time view of market-implied probabilities outperforms traditional surveys and historical averages.

02

Build superior forecasting models with prediction market data

Econometric models improve significantly when trained on actual market expectations rather than lagged official statistics. By incorporating orderbook data from Resolved Markets into your forecasting framework, you add a forward-looking component that captures trader expectations and market-implied outcomes. The combination of historical snapshots (11.4M+ available) with real-time WebSocket streams enables you to build predictive models that adapt to changing market consensus.

03

Quantify market uncertainty through bid/ask spread analysis

Uncertainty quantification is crucial for policy analysis and investment decisions. Resolved Markets' bid/ask spread data directly measures market disagreement—wider spreads indicate higher uncertainty about outcomes. By analyzing spread dynamics across FOMC decision markets, employment markets, and inflation markets simultaneously, you gain a nuanced picture of which economic dimensions are generating the most trader uncertainty and confusion.

04

Integrate economic sentiment into algorithmic workflows

Modern analytical workflows demand seamless data integration. Resolved Markets' API with millisecond timestamps and depth arrays integrates directly into Python, JavaScript, and specialized econometric platforms. Build automated pipelines that continuously ingest economic market data, run backtests against historical snapshots, and deploy live sentiment indicators that feed into quantitative models and dashboards.

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 Economic Analysts use Millisecond Timestamp Data

1
Replay Millisecond Timestamp Data around CPI prints to study reaction speed
2
Compare Millisecond Timestamp Data against survey-based consensus for forecast skill
3
Use Millisecond Timestamp Data as the source for a Materialize-based real-time analytics view
4
Bulk-load Millisecond Timestamp Data into ClickHouse for analytical queries with sub-second latency
5
Stream Millisecond Timestamp Data into Snowflake via the native Snowpipe connector

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

Millisecond Timestamp Data ships with

Real-time FOMC decision prediction markets
Jobs report and employment data markets
Inflation expectation tracking via CPI markets
WebSocket API for continuous orderbook streaming
ClickHouse-backed historical snapshot storage
Millisecond-precision bid/ask depth arrays

What Economic Analysts build with Millisecond Timestamp Data

Forecast skill measurement vs survey consensus
Macro factor models incorporating Millisecond Timestamp Data
Lakehouse architectures with Millisecond Timestamp Data as a primary source
Feature stores built on top of Millisecond Timestamp Data
Time-travel queries via Iceberg/Delta on historical Millisecond Timestamp Data

Up and running in minutes

Three steps from signup to live Millisecond Timestamp 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 Millisecond Timestamp Data into your research pipeline, trading bot, or analytics platform.

fetch('/v1/markets/live', { headers: { 'X-API-Key': key } })
1
Get a free API key at resolvedmarkets.com
2
List economics markets: curl -H 'X-API-Key: rm_xxx' 'https://api.resolvedmarkets.com/v1/markets/live' | jq '.[] | select(.category=="economics")'
3
Pull pre-release Millisecond Timestamp Data snapshots for upcoming events
4
Stream live updates around FOMC and CPI events
5
Bulk download macro history: rm-api download --category economics --days 90

Wiring Millisecond Timestamp Data into your workflow

Economists pull Millisecond Timestamp Data via REST for ad-hoc queries, WebSocket for live macro events, and the CLI for bulk historical studies. Every channel ships the same continuous Polymarket capture.

  • Databricks notebook starter kit for Millisecond Timestamp Data
  • Native ClickHouse JDBC/ODBC connector
  • Snowflake Snowpipe ingest for streaming Millisecond Timestamp Data

Why Economic Analysts pick Millisecond Timestamp Data

  • Real-time market expectations on FOMC decisions, jobs reports, and inflation with millisecond precision captured from Polymarket
  • 11.4M+ historical orderbook snapshots enabling econometric modeling and event study analysis with sub-second timing accuracy
  • Unified API access to all economic prediction markets across crypto, macro, and employment categories with full bid/ask depth
  • No credit card required free tier for research and analysis with WebSocket streaming and ClickHouse-backed historical data

Why Millisecond Timestamp Data matters

Millisecond Timestamp Data matters for economic analysis because surveys are slow and Millisecond Timestamp Data is fast. DateTime64(3) timestamps with full bid/ask arrays on best_bid, best_ask, mid_price, spread, bids[], asks[] reveals consensus shifts before they appear in any traditional indicator.

Millisecond Timestamp Data in context

Macro analysts increasingly treat prediction markets as a leading indicator. Millisecond Timestamp Data from Resolved Markets makes that signal structured and queryable, with DateTime64(3) timestamps with full bid/ask arrays on best_bid, best_ask, mid_price, spread, bids[], asks[].

Frequently asked: Millisecond Timestamp Data for Economic Analysts

  • How does Resolved Markets orderbook data improve economic forecasting compared to traditional surveys?

    Resolved Markets captures real money predictions from thousands of traders with direct financial incentives, updated continuously at millisecond intervals. Unlike surveys that sample opinions periodically, the orderbook data shows actual market-implied probabilities and how they shift throughout event windows. Our FOMC decision markets and jobs report markets reflect live trader expectations, not lagged historical trends. This real-time, incentive-aligned data improves forecast accuracy significantly when integrated into econometric models.

  • What specific economic markets does Resolved Markets track on Polymarket?

    We track FOMC decision probabilities (rate hikes, cuts, holds), jobs report outcomes (payroll numbers, unemployment changes), CPI release expectations, GDP growth forecasts, Treasury yield predictions, and inflation expectations. Each market has continuous orderbook snapshots with millisecond timestamps and full bid/ask depth arrays. Our system captures 20Hz updates for crypto-economic markets and consistent sampling across all macro prediction markets, ensuring you have complete data for correlation and causality analysis.

  • How can I use bid/ask spread data from Resolved Markets to quantify economic uncertainty?

    Bid/ask spreads directly reflect market disagreement—when traders disagree about outcomes, spreads widen; when consensus forms, spreads narrow. By analyzing spread dynamics in FOMC decision markets, employment markets, and inflation markets over time, you can construct uncertainty indices that are forward-looking and grounded in actual trading activity. Wider spreads before policy announcements indicate higher expected volatility; spread convergence signals consensus forming. This metric outperforms traditional volatility measures for policy-sensitive predictions.

  • Can I access historical economic market data for backtesting econometric models?

    Yes. Resolved Markets stores 11.4M+ historical snapshots with full orderbook depth, millisecond timestamps, and complete metadata. Our ClickHouse-backed storage enables fast queries across any economic market and date range. You can reconstruct market expectations from weeks before economic releases through announcement windows, build event studies with precise timing correlation, and validate your models against actual trader behavior during past FOMC decisions and employment reports.

  • How does the WebSocket API help integrate economic market data into live analytical workflows?

    Our WebSocket API delivers continuous orderbook snapshots with millisecond latency, enabling real-time sentiment monitoring and live dashboard updates during economic events. Build workflows that subscribe to specific economic prediction markets (FOMC, jobs, CPI, etc.), receive depth updates as traders adjust positions, and trigger alerts when spreads spike or probabilities shift significantly. This allows economists to conduct real-time event analysis during Federal Reserve announcements and major economic releases without data delays.

  • How do economists use Millisecond Timestamp Data for forecasting?

    Bid/ask depth in Millisecond Timestamp Data reveals conviction strength, not just point probabilities. Economists treat Millisecond Timestamp Data as a leading indicator that frequently moves before surveys publish.

  • How often does Millisecond Timestamp Data update?

    DateTime64(3) timestamps with full bid/ask arrays captures every meaningful shift in macro contracts, with continuous updates around scheduled releases.

  • Does Millisecond Timestamp Data include historical macro events?

    Yes. ClickHouse history of Millisecond Timestamp Data lets economists replay every FOMC, CPI, and jobs print to study how Polymarket priced the outcome before and after.

  • Is Millisecond Timestamp Data compatible with Apache Iceberg or Delta Lake?

    Yes. Bulk Parquet exports of Millisecond Timestamp Data drop directly into Iceberg or Delta tables for time-travel queries and ACID semantics.

  • Can I use Millisecond Timestamp Data with dbt?

    Yes. Most teams build dbt models that consume Millisecond Timestamp Data via the ClickHouse connector and derive downstream features (spread, depth imbalance, mid-price velocity).

Related orderbook datasets

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