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metadata
license: mit
tags:
  - polymarket
  - prediction-markets
  - orderbook
  - quantitative-trading
  - market-making
  - high-frequency-trading
  - crypto
  - parquet
pretty_name: PolyPulse Polymarket Empirical Order Book Dataset (1Hz & 4Hz Sample)
size_categories:
  - n<1K
task_categories:
  - time-series-forecasting

PolyPulse — Empirical Polymarket Order Book Dataset

Empirical, isochronous discrete snapshot matrix combining Polymarket CLOB Best Bid/Ask (BBO), Binance Spot Ticks, and Chainlink RTDS Oracle feeds.

Live Hub: https://ogs.biz.id/polypulse
Open-Source Python Arbitrage Backtest: GitHub Gist
Instant 24-Hour Flash Pass ($2.49 with ALPHA50): Gumroad Checkout


Dataset Description

PolyPulse eliminates survivorship bias and polling jitter in prediction market research. While standard public API endpoints suffer from rate limits and variable network latency, this dataset aligns three synchronized liquidity venues onto strict 1.0-second (1Hz) and 0.25-second (4Hz Vilnius Node) grids:

  1. Polymarket Central Limit Order Book (CLOB): Microsecond-stamped Bid/Ask depth for UP/DOWN binary contracts.
  2. Binance Spot Anchor Feed: Underlying reference asset spot price.
  3. Chainlink Real-Time Data Streams (RTDS): Decentralized oracle TWAP and benchmark index prices.

Schema & Column Reference

Column Type Description
sec float Elapsed seconds within continuous observation candle
timestamp_utc string ISO 8601 UTC timestamp synchronized across feeds
bnb_price float Underlying reference spot price (Binance)
pm_token_up_bid float Polymarket Best Bid for YES/UP contract ($)
pm_token_up_ask float Polymarket Best Ask for YES/UP contract ($)
pm_token_down_bid float Polymarket Best Bid for NO/DOWN contract ($)
pm_token_down_ask float Polymarket Best Ask for NO/DOWN contract ($)
cl_twap float Chainlink Oracle TWAP benchmark
parity_edge float Empirical sum arbitrage deviation ($1.00 - (Bid_Up + Bid_Down))
parity_edge_bps float Parity mispricing expressed in Basis Points (bps)
maker_pair_cost float Combined cost to acquire full outcome set at Bid ($)
taker_pair_cost float Combined cost to acquire full outcome set at Ask ($)
trade_count int Aggregated trade execution events in the 1-second slice

Quickstart in Python

Using Apache Parquet (Recommended)

import pandas as pd

# Load Apache Parquet directly
df = pd.read_parquet("https://huggingface.co/datasets/OmGoStudio/polypulse-polymarket-sample/resolve/main/polypulse_sample_preview.parquet")

print(f"Loaded {len(df)} discrete snapshot ticks.")
print(df[["timestamp_utc", "pm_token_up_bid", "pm_token_down_bid", "parity_edge_bps"]].head())

Full Arbitrage Execution Backtest

Check out the complete runnable open-source arbitrage backtest script on GitHub Gist:
👉 polymarket_4hz_arbitrage_backtest.py


Instant Commercial Feeds & Flash Passes

Use coupon code ALPHA50 for 50% off all packages:

Package Granularity Rows Price (with ALPHA50) Checkout
24-Hour Flash Backtest Pass 4Hz (0.25s) Vilnius Feed 345,600 $2.49 Instant Access
3 Days Standard 1Hz (1.0s) 259,200 $9.00 Instant Access
3 Days Vilnius Feed 4Hz (0.25s) 1,036,800 $24.00 Instant Access
1 Week Institutional Bundle 1Hz & 4Hz 3,024,000+ $49.50 Instant Access
1 Month Full Archive Master Grid 10,000,000+ $124.50 Instant Access

Crypto payments (USDC / USDT on Polygon POS) are also supported natively on our web terminal:
🌐 https://ogs.biz.id/polypulse


Maintained by OmGoStudio (OGS) Quant Research Division.