Elon Musk Tweet Counts historical data
Elon Musk Tweet Counts is a Polymarket politics series. Marketlens has captured 322 markets since August 11, 2026, of which 238 resolved, with $2.1M in traded volume. Every market's order book is stored in full: periodic L2 snapshots plus every individual price change with a millisecond timestamp, alongside trades, candles, and the final resolution outcome.
Data as of 2026-09-04 · series slug elon-tweets
Markets in this series
The most recently resolved of 322 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "elon-tweets",
after="2026-08-26", before="2026-09-03", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Elon Musk Tweet Counts markets are in the archive?
322 markets from August 11, 2026 through September 2, 2026, of which 238 have resolved and 84 are active.
What data exists for each Elon Musk Tweet Counts market?
Full L2 order book history (snapshots plus every price change at millisecond resolution), individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "elon-tweets" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Elon Musk Tweet Counts market trade?
Average traded volume is $6.6K per market, $2.1M across the series.
Can I backtest strategies on Elon Musk Tweet Counts?
Yes. Pass the slug "elon-tweets" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Related series: Putin out as President, Trump out, US x Iran diplomatic meeting, Ukraine x Russia Peace Deal, trump monthly meeting, Ukraine cede territory, or all politics series.
Try it
Replay Elon Musk Tweet Counts tick by tick
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens