Sardine: Kalshi crypto settlement history

info.sardine由 sardine.info 发布官方发布者v0.1.1更新于 Oct 26, 2026

How often Kalshi BTC/ETH/XRP contracts settled YES, counted not forecast, with a public record

已验证Streamable HTTP可网页运行金融数据与分析

概览

AI 生成的概览

Sardine 提供 Kalshi 加密涨跌合约的历史结算频率,并附实时看板、费率表、准确率记录与规则回测。

可以做什么
  • 列出覆盖的 Kalshi 系列及当前是否在服务,并给出校准偏差
  • 按行权价、剩余时间和方向查询单个合约的历史结算率,可选附带 Kalshi 手续费与全包价
  • 查看当前开放合约的实时看板,将 Kalshi 报价与 Sardine 的历史计数并列
  • 读取某一系列按距行权价距离和剩余时间分桶的完整费率表
  • 核对 Sardine 自身发布数字与实际结算的准确率记录
  • 列出可下载的 CSV 历史文件,并在逐秒记录的报价上回测交易规则
适用场景
适合在分析 Kalshi 15 分钟及每小时加密涨跌合约时,用统计出的历史频率而非预测来做判断,或核查这类数字的准确度以及某条规则在扣除手续费后的表现。
运行要求
可作为远程端点使用,也可通过 PyPI 包以 stdio 在本地运行。未声明需要身份验证;可选免费 API 密钥通过 SARDINE_API_KEY 提供以提高速率限制。需要能访问该服务的网络。
安装前请注意
这些数字是历史频率,不是预测或交易建议,服务要求展示时附带样本量。回测基于已记录的报价,不代表未来结果。可选 API 密钥属于机密,应通过 SARDINE_API_KEY 提供。使用数据集时需注明 Sardine 来源。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Sardine: Kalshi crypto settlement history,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/info.sardine%2Fsardine/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "sardine-kalshi-crypto-settlement-history": {
      "type": "http",
      "url": "https://sardine.info/mcp"
    }
  }
}

工具

7

list_markets

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.

无需输入参数。

get_settlement_rate

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.

输入参数sideasset必填strike必填kalshi_askminutes_left必填window_minutes必填

get_live_board

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.

输入参数limitmarket

get_rate_table

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.

输入参数assetwindow_minutes

get_track_record

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.

无需输入参数。

list_datasets

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.

无需输入参数。

backtest_rule

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.

输入参数sidemarketend_datecontractsstart_datemax_gap_centsmin_gap_centslatency_secondsmax_price_centsmin_price_centsmax_minutes_leftmin_minutes_left

版本历史

1
  1. v0.1.1最新Oct 26, 2026

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