AymarData
PolymarketHistory from 2025-06-01xrp-updown-1h

Polymarket XRP Up/Down 1h historical order book & trade data

2.53M order-book and trade events for XRP hourly Up/Down markets since 2025-06-01 — about 4,947 events a day across 24 windows.

Coverage

XRP 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

2,532,852

≈ 2.53M as of 2026-10-25

Avg events / day

4,947

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

XRP Up/Down 1h events/day: 30-day series, average 4,947 events/day, low 3,529, high 12,257.
low 3,529avg 4,947high 12,257

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 1h?

Hourly XRP windows frequently straddle US regulatory announcements, so the order book can be flat for 40 minutes and then reprice in seconds. 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.

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 hourly 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.

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 XRP 1h Up/Down

  • RLUSD and payment-corridor announcements that feed the cross-border narrative
  • Legal and regulatory headlines involving Ripple and US agencies
  • Window structure: scheduled catalysts inside the hour — 8:30 ET economic releases, the US cash open and the 4pm equity close

Schema

XRP Up/Down 1h fields and sample rows

The same columns are returned by the API and in Parquet and CSV files.

FieldTypeDescription
ts_exchangestringExchange timestamp (ISO-8601, ms)
ts_recvstringAymarData receive timestamp
marketstringWindow slug: <family>-<window start unix>
outcomestring"up" or "down" token
event_typestringlast_trade_price | price_change | book
sidestring"buy" | "sell" for trades, "bid" | "ask" for book events
pricenumberProbability price, 0–1
sizenumberShares traded or resting size at the level

Sample rows

ts_exchangets_recvmarketoutcomeevent_typesidepricesize
2026-10-22T14:40:13.818Z2026-10-22T14:40:13.856Zxrp-updown-1h-1792677600uplast_trade_pricebuy0.4328
2026-10-22T14:40:14.386Z2026-10-22T14:40:14.432Zxrp-updown-1h-1792677600downprice_changeask0.582579
2026-10-22T14:40:14.535Z2026-10-22T14:40:14.586Zxrp-updown-1h-1792677600uplast_trade_pricesell0.4234

Illustrative rows for xrp-updown-1h. Market is the window slug (xrp-updown-1h-<start unix>); prices are probabilities between 0 and 1.

Code

Pull XRP Up/Down 1h in Python, cURL or MCP

Market id: xrp-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"}

# XRP Up/Down 1h: every trade in one hourly window
trades = requests.get(
    f"{API}/trades",
    headers=H,
    params={
        "source": "polymarket",
        "market": "xrp-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": "xrp-updown-1h",
        "outcome": "up",
        "at": "2026-10-22T14:30:00Z",
        "depth": 10,
    },
    timeout=30,
).json()
print(book.get("spread"), len(trades))

FAQ

XRP Up/Down 1h: common questions

How do XRP 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 xrp-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 XRP 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 XRP 1h Up/Down price most?

Two things dominate. First, RLUSD and payment-corridor announcements that feed the cross-border narrative. Second, legal and regulatory headlines involving Ripple and US agencies. 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 the thinnest of the four, with wider spreads and long stretches where one side of the book is sparse.

How does XRP 1h 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-1h 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-1h dataset?

About 2.53M events recorded since 2025-06-01, or roughly 4,947 events a day across about 12,288 windows. Every event carries both exchange and receive timestamps.

Backtest XRP Up/Down 1h with real tick data

Get an API key, pull your first window and join it with the other sources in the catalog.