ZCash Up or Down (15 Minute)Polymarket historical data and price history

ZCash Up or Down (15 Minute): a Polymarket crypto series with markets recurring every 15 minutes. Marketlens has captured 8,353 markets since August 4, 2026, of which 8,358 resolved, with $49.9K in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.

For the crypto archive as a whole, see Polymarket 5 minute market data.

Data as of 2026-11-02 · Polymarket series ZEC Up or Down 15m · slug zec-up-or-down-15m

Markets
8,361
Resolved
8,358
Traded volume
$49.9K
Avg volume / market
$27
Cadence
15 minutes
Coverage from
2026-08-04
Data through
now
Category
Crypto

Resolution outcomes

Down: 4,258 (51.0%)Up: 4,099 (49.0%)

Outcomes across 8,357 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.

Markets in this series

The most recently resolved of 8,361 markets.

ZCash Up or Down - November 1, 10:45PM-11:00PM ET

closed 2026-11-02 · resolved Up

ZCash Up or Down - November 1, 10:30PM-10:45PM ET

closed 2026-11-02 · resolved Up

ZCash Up or Down - November 1, 10:15PM-10:30PM ET

closed 2026-11-02 · resolved Up

Backtest this series

python
from datetime import datetime, timedelta, timezone from marketlens import MarketLens, Strategy class MyStrategy(Strategy): def on_market_start(self, ctx, market, book): ctx.buy_yes(size=10) client = MarketLens() end = datetime.now(timezone.utc) - timedelta(days=1) result = client.backtest( MyStrategy(), "zec-up-or-down-15m", after=end - timedelta(minutes=15), before=end, initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many ZCash Up or Down (15 Minute) markets are in the archive?

8,353 markets from August 4, 2026 through now, of which 8,358 have resolved and 3 are active.

What data exists for each ZCash Up or Down (15 Minute) market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "zec-up-or-down-15m" through the API and Python SDK, or downloadable as Parquet.

How often do ZCash Up or Down (15 Minute) markets resolve Down?

Of 8,357 resolved markets with a recorded outcome, 4,258 resolved Down (51.0%) and 4,099 resolved Up.

How much does a typical ZCash Up or Down (15 Minute) market trade?

Average traded volume is $27 per market, $49.9K across the series.

Can I backtest strategies on ZCash Up or Down (15 Minute)?

Yes. Pass the slug "zec-up-or-down-15m" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons.

Related series: ZCash Up or Down (5 Minute), Bitcoin Up or Down (5 Minute), Bitcoin Up or Down (15 Minute), Bitcoin above (Weekly), Ethereum Up or Down (5 Minute), What price will Bitcoin hit (Monthly), or all crypto series.

Try it

Pull ZCash Up or Down (15 Minute) books in one call

The free tier includes 2M data rows and every market open in the last 7 days, no card required.

bash
$ pip install marketlens