List the Kalshi series Sardine covers, and whether each is currently served.
Each entry gives the Sardine key (e.g. "BTC-15M"), the Kalshi series
ticker, the window length, and the latest calibration check: the largest
gap, in probability points, between what Sardine published and what
then settled.
無需輸入參數。
How often has a contract like this one settled in favour of `side`?
Uses the asset's live spot price. Give the contract's strike (target
price), the minutes left until it settles, and optionally Kalshi's ask
in dollars (0.01-0.99) to get Kalshi's fee and all-in price on the same
line.
Returns the historical settlement rate, its 95% interval and the number
of past windows counted. A small `windows_counted` means a weak answer.
輸入參數sideasset必填strike必填kalshi_askminutes_left必填window_minutes必填
Open Kalshi contracts right now, each with Kalshi's price beside Sardine's count.
Optionally filter to one market. Each row has the contract, Kalshi's ask
and fee, the historical settlement rate with its interval and sample
size, and a plain-English sentence describing the comparison.
輸入參數limitmarket
The full lookup table behind every Sardine number for one series.
Each row is a (distance-from-strike, time-left) bucket: distance in
volatility units, seconds left, the share that settled YES, its 95%
interval, and the number of independent windows counted.
輸入參數assetwindow_minutes
How accurate Sardine's published numbers have been, scored against settlements.
For each series and probability bucket: what Sardine said, what actually
settled, and the miss in points. Use this before relying on any number.
無需輸入參數。
Downloadable CSV history files, with row counts, date ranges and URLs.
Files open directly in Excel, pandas or any CSV reader. Credit
"Sardine (sardine.info)" when you use them.
無需輸入參數。
Would this rule have made money? Replays recorded Kalshi quotes, second by second.
Describe a rule for Kalshi's 15-minute crypto up/down contracts: which side
to buy, when (minutes left), at what prices (cents), and optionally only when
Sardine's history beats Kalshi's ask plus fee by `min_gap_cents` (side BEST
picks whichever side has the larger gap). Sardine replays its per-second
recordings of Kalshi's order book: one trade per window, a limit order at the
ask landing after `latency_seconds`, filled only up to the size resting
there, Kalshi's real fee, and Kalshi's official settlement.
Returns profit per contract after fees with a 95% interval, win rate, fill
behaviour, a zero-latency comparison (exposes stale-quote illusions), a
first-half/second-half stability check, breakdowns by minutes left and
price, and warnings. Results only; no raw data. Dates are UTC YYYY-MM-DD.
Present results as what happened historically, never as a forecast.
輸入參數sidemarketend_datecontractsstart_datemax_gap_centsmin_gap_centslatency_secondsmax_price_centsmin_price_centsmax_minutes_leftmin_minutes_left