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Multivariate event collections

A multivariate event collection is a template that lets you bet on combinations of outcomes — e.g. "Will it rain in NYC AND the Yankees win Saturday?" The collection holds the building-block markets; create_market with a list of leg selections mints a derived YES/NO contract.

Public listing, auth-required minting. Attribute name on the client: multivariate_collections.

Quick reference

Method Endpoint Auth
list(...) / list_all(...) GET /multivariate_event_collections no
get(collection_ticker) GET /multivariate_event_collections/{ticker} no
create_market(collection_ticker, *, selected_markets, with_market_payload=False) POST /multivariate_event_collections/{ticker} yes
lookup_tickers(collection_ticker, *, selected_markets) PUT /multivariate_event_collections/{ticker}/lookup no
lookup_history(collection_ticker, *, lookback_seconds) GET /multivariate_event_collections/{ticker}/lookup_history no

List collections

page = client.multivariate_collections.list(
    status="open",                  # MultivariateCollectionStatusLiteral
    series_ticker="KXWEATHER",
    limit=100,
)
for c in page:
    print(c.collection_ticker, c.title)

Select legs

A leg is a TickerPair(event_ticker=..., market_ticker=...) — one event-side selection. To bet on "rain in NYC AND Yankees win":

from kalshi import TickerPair

legs = [
    TickerPair(event_ticker="KXNYRAIN-26", market_ticker="KXNYRAIN-26-YES"),
    TickerPair(event_ticker="KXYANKEES-26-SAT", market_ticker="KXYANKEES-26-SAT-WIN"),
]

Lookup the auto-generated ticker (no mint)

resp = client.multivariate_collections.lookup_tickers(
    "KXWEATHER-SPORTS-COMBO",
    selected_markets=legs,
)
print(resp.market_ticker, resp.event_ticker)

Wire-level note: this endpoint is a PUT — unusual for a read operation, but matches the OpenAPI spec.

Mint a combo market

resp = client.multivariate_collections.create_market(
    "KXWEATHER-SPORTS-COMBO",
    selected_markets=legs,
    with_market_payload=True,        # also return the full Market body
)
print(resp.market_ticker, resp.event_ticker)
if resp.market is not None:
    print(resp.market.yes_bid, resp.market.yes_ask)

Recent lookup history

hist = client.multivariate_collections.lookup_history(
    "KXWEATHER-SPORTS-COMBO",
    lookback_seconds=3600,
)
for entry in hist.lookups:
    print(entry.market_ticker, entry.created_ts)

Reference

kalshi.resources.multivariate.MultivariateCollectionsResource

MultivariateCollectionsResource(transport: SyncTransport)

Bases: SyncResource

Sync multivariate event collections API.

kalshi.resources.multivariate.AsyncMultivariateCollectionsResource

AsyncMultivariateCollectionsResource(
    transport: AsyncTransport,
)

Bases: AsyncResource

Async multivariate event collections API.