Polymarket ETH Up/Down 1h historical order book & trade data
9.05M order-book and trade events for ETH hourly Up/Down markets since 2025-06-01 — about 17,668 events a day across 24 windows.
Coverage
ETH Up/Down 1h data coverage
What is recorded, how often it updates and how much there is.
History start
2025-06-01
512 days of history
Events recorded
9,045,900
≈ 9.05M as of 2026-10-25
Avg events / day
17,668
book snapshot · book delta · trade · resolution
Update frequency
Book deltas and trades streamed as they occur; 24 new windows every UTC day
Daily activity · last 30 days
Indicative daily event volume, last 30 days to 2026-10-25. Shape modeled from collector stats; mean matches the average events/day above.
About this market
What is ETH Up/Down 1h?
ETH hourly windows frequently catch on-chain events — large unstaking queues, DeFi liquidations, ETF-flow prints — that push ether independently of bitcoin for a stretch. Hourly windows open on the hour and resolve an hour later, so there are 24 markets a day. They overlap with scheduled releases and session opens that 5m and 15m windows only sample in part.
Ether usually moves with Bitcoin but with a larger amplitude, so the Up/Down outcome is a bet on beta as much as direction. Over a hourly horizon, ETH also reacts to things BTC ignores: ETH/BTC rotations, staking and ETF-flow headlines, and DeFi liquidations that dump collateral into the market. When BTC is quiet, those ETH-specific catalysts are what flip an Up/Down window.
An hour is long enough to hold a macro print, a cash-equity open or an options expiry inside a single market. That makes hourly windows the cleanest place to measure how a known catalyst is priced before it happens and how fast the book reprices after — you can line up the order book with timestamps of scheduled events.
What moves ETH 1h Up/Down
- DeFi stress, because ETH collateral gets liquidated when lending markets de-risk
- The ETH/BTC ratio, which rotates capital between the two majors on risk-on and risk-off days
- Window structure: scheduled catalysts inside the hour — 8:30 ET economic releases, the US cash open and the 4pm equity close
Schema
ETH Up/Down 1h fields and sample rows
The same columns are returned by the API and in Parquet and CSV files.
| Field | Type | Description |
|---|---|---|
| ts_exchange | string | Exchange timestamp (ISO-8601, ms) |
| ts_recv | string | AymarData receive timestamp |
| market | string | Window slug: <family>-<window start unix> |
| outcome | string | "up" or "down" token |
| event_type | string | last_trade_price | price_change | book |
| side | string | "buy" | "sell" for trades, "bid" | "ask" for book events |
| price | number | Probability price, 0–1 |
| size | number | Shares traded or resting size at the level |
Sample rows
| ts_exchange | ts_recv | market | outcome | event_type | side | price | size |
|---|---|---|---|---|---|---|---|
| 2026-10-22T14:40:17.991Z | 2026-10-22T14:40:18.045Z | eth-updown-1h-1792677600 | up | last_trade_price | buy | 0.48 | 32 |
| 2026-10-22T14:40:18.156Z | 2026-10-22T14:40:18.207Z | eth-updown-1h-1792677600 | down | price_change | ask | 0.53 | 7105 |
| 2026-10-22T14:40:18.244Z | 2026-10-22T14:40:18.277Z | eth-updown-1h-1792677600 | up | last_trade_price | sell | 0.47 | 180 |
Illustrative rows for eth-updown-1h. Market is the window slug (eth-updown-1h-<start unix>); prices are probabilities between 0 and 1.
Code
Pull ETH Up/Down 1h in Python, cURL or MCP
Market id: eth-updown-1h. Export AYMARDATA_API_KEY from your dashboard, then run the Python requests example.
import os
import requests
API = "https://api.aymardata.com/v1"
KEY = os.environ["AYMARDATA_API_KEY"] # export AYMARDATA_API_KEY=ad_live_…
H = {"Authorization": f"Bearer {KEY}", "User-Agent": "aymardata-docs/1.0"}
# ETH Up/Down 1h: every trade in one hourly window
trades = requests.get(
f"{API}/trades",
headers=H,
params={
"source": "polymarket",
"market": "eth-updown-1h",
"outcome": "up",
"start": "2026-10-22T14:00:00Z",
"end": "2026-10-22T15:00:00Z",
"limit": 500,
},
timeout=30,
).json()["data"]
print(len(trades), trades[0]["price"], trades[-1]["price"])
book = requests.get(
f"{API}/book",
headers=H,
params={
"source": "polymarket",
"market": "eth-updown-1h",
"outcome": "up",
"at": "2026-10-22T14:30:00Z",
"depth": 10,
},
timeout=30,
).json()
print(book.get("spread"), len(trades))FAQ
ETH Up/Down 1h: common questions
How do ETH 1h markets behave around the 8:30 ET data releases?
The window that contains the print — 12:00–13:00 UTC in summer time, an hour later in winter — shows the biggest book changes. Pull eth-updown-1h deltas with start and end set to ±2 minutes around 12:30 UTC (13:30 UTC once US clocks go back) to see quotes pulled before the release and re-posted afterwards.
How many ETH 1h windows are in the dataset?
24 per day, so about 12,288 since 2025-06-01. Each hourly window is its own market and resolves independently of the 5m, 15m and 4h markets that overlap with it.
What moves the ETH 1h Up/Down price most?
Two things dominate. First, DeFi stress, because ETH collateral gets liquidated when lending markets de-risk. Second, the ETH/BTC ratio, which rotates capital between the two majors on risk-on and risk-off days. On top of that sits the structural driver of every hourly window: scheduled catalysts inside the hour — 8:30 ET economic releases, the US cash open and the 4pm equity close. Liquidity here is second only to BTC, with spreads a tick or two wider and more variance in resting size.
How does ETH 1h Up/Down compare with the ETHUSDT order book on Binance?
Binance is where price discovery happens; Polymarket prices a probability on top of it. Joining eth-updown-1h with Binance ETHUSDT spot and perp ticks on timestamp lets you measure how many milliseconds the Up price lags a spot move. See the Binance ETH spot and perp pages for the matching feeds.
How big is the eth-updown-1h dataset?
About 9.05M events recorded since 2025-06-01, or roughly 17,668 events a day across about 12,288 windows. Every event carries both exchange and receive timestamps.
Related
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On-chain perpetual
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Kalshi contracts on the same asset
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