Polymarket XRP Up/Down 4h historical order book & trade data
1.33M order-book and trade events for XRP 4-hour Up/Down markets since 2025-06-01 — about 2,604 events a day across 6 windows.
Coverage
XRP Up/Down 4h 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
1,333,080
≈ 1.33M as of 2026-10-25
Avg events / day
2,604
book snapshot · book delta · trade · resolution
Update frequency
Book deltas and trades streamed as they occur; 6 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 XRP Up/Down 4h?
The XRP 4-hour market is a low-volume, high-spread market that is most useful for studying how thin books behave when news arrives mid-window. Four-hour windows run on fixed boundaries, giving six markets a day. Each window spans a regional trading session — Asia, Europe, the US morning — so the Up/Down binary is effectively a bet on who wins that session.
XRP is the most headline-driven of the four. Regulatory and legal news around Ripple, ETF and custody announcements, and bursts of retail buying produce sharp moves in a market that is thin compared with BTC. Over a 4-hour horizon the Up/Down price tends to sit near 0.50 until news arrives, then gaps — which is why the spread series is as informative as the trades for this market.
With only six windows a day the sample size grows slowly, but each window carries real information: the Up price moves in steps as new data arrives, and liquidity providers show up with size. These windows are good for testing trend-following signals and for studying how the book anchors to intraday session behaviour.
What moves XRP 4h Up/Down
- Legal and regulatory headlines involving Ripple and US agencies
- ETF and custody news, which produce sharp, thin-book moves
- Window structure: regional session handovers — Asia into Europe into the US — which is where intraday direction usually changes
Schema
XRP Up/Down 4h 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 |
|---|---|---|---|---|---|---|---|
| 2026-10-22T14:14:44.407Z | 2026-10-22T14:14:44.453Z | xrp-updown-4h-1792670400 | up | last_trade_price | buy | 0.58 | 82 |
| 2026-10-22T14:14:45.116Z | 2026-10-22T14:14:45.167Z | xrp-updown-4h-1792670400 | down | price_change | ask | 0.43 | 452 |
| 2026-10-22T14:14:45.250Z | 2026-10-22T14:14:45.286Z | xrp-updown-4h-1792670400 | up | last_trade_price | sell | 0.57 | 73 |
Illustrative rows for xrp-updown-4h. Market is the window slug (xrp-updown-4h-<start unix>); prices are probabilities between 0 and 1.
Code
Pull XRP Up/Down 4h in Python, cURL or MCP
Market id: xrp-updown-4h. 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"}
# XRP Up/Down 4h: every trade in one 4-hour window
trades = requests.get(
f"{API}/trades",
headers=H,
params={
"source": "polymarket",
"market": "xrp-updown-4h",
"outcome": "up",
"start": "2026-10-22T12:00:00Z",
"end": "2026-10-22T16:00:00Z",
"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": "xrp-updown-4h",
"outcome": "up",
"at": "2026-10-22T14:00:00Z",
"depth": 10,
},
timeout=30,
).json()
print(book.get("spread"), len(trades))FAQ
XRP Up/Down 4h: common questions
What do the XRP 4h windows cover?
Six fixed four-hour windows per day, each of which spans a regional trading session. xrp-updown-4h markets resolve independently of the shorter windows, so you can compare a 4h book with the four 1h books inside it.
Is there enough XRP 4h history for a backtest?
Yes — six windows a day since 2025-06-01 is about 3,072 resolved markets. That is thinner than 5m or 15m, but each window carries many more book updates, so it works well for per-window features.
What moves the XRP 4h Up/Down price most?
Two things dominate. First, legal and regulatory headlines involving Ripple and US agencies. Second, ETF and custody news, which produce sharp, thin-book moves. On top of that sits the structural driver of every 4-hour window: regional session handovers — Asia into Europe into the US — which is where intraday direction usually changes. Liquidity here is the thinnest of the four, with wider spreads and long stretches where one side of the book is sparse.
How does XRP 4h Up/Down compare with the XRPUSDT order book on Binance?
Binance is where price discovery happens; Polymarket prices a probability on top of it. Joining xrp-updown-4h with Binance XRPUSDT spot and perp ticks on timestamp lets you measure how many milliseconds the Up price lags a spot move. See the Binance XRP spot and perp pages for the matching feeds.
How big is the xrp-updown-4h dataset?
About 1.33M events recorded since 2025-06-01, or roughly 2,604 events a day across about 3,072 windows. Every event carries both exchange and receive timestamps.
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Binance perpetual: funding and mark price
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Hyperliquid: XRP perp
On-chain perpetual
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