10-year Treasur historical data
10-year Treasur is a Polymarket economy series with markets recurring weekly. Marketlens has captured 11 markets since March 1, 2026, of which 1 resolved, with $285.6K in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, alongside trades, candles, and the final resolution outcome.
Data as of 2026-09-11 · series slug 10-year-treasur
Markets in this series
The most recently resolved of 11 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "10-year-treasur",
after="2026-09-04", before="2026-09-12", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many 10-year Treasur markets are in the archive?
11 markets from March 1, 2026 through September 11, 2026, of which 1 have resolved and 10 are active.
What data exists for each 10-year Treasur market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "10-year-treasur" through the API and Python SDK, or downloadable as Parquet.
How much does a typical 10-year Treasur market trade?
Average traded volume is $26.0K per market, $285.6K across the series.
Can I backtest strategies on 10-year Treasur?
Yes. Pass the slug "10-year-treasur" 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: FOMC, Largest Company, US Annual Inflation, Bank of Japan, ECB Interest Rates, Bank of England decision, or all economy series.
Try it
Pull 10-year Treasur books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens