Timefire

ai.timefire由 timefire.ai 发布官方发布者v0.1.0更新于 Nov 7, 2026

Timefire's public record of AI stock forecasts: graded books, track record and proof.

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

只读访问 Timefire 公开的 AI 选股预测记录:已评分的每日标普 500 预测册、历史业绩、校准数据与签名证明。

可以做什么
  • 列出并读取已评分的每日标普 500 预测册,含结果与评级结论
  • 追踪单只股票跨多个预测册的表现,并查看某条预测背后的存档依据
  • 获取汇总的历史业绩与校准统计,以及评分规则和股票池
  • 获取某册按市值加权或等权组合,以及模拟组合的每日净值与已平仓交易
  • 核验某册的签名证明,并检索 Timefire 开发者文档
适用场景
适合核查或讨论 Timefire 已公布的预测表现、将其选股与 SPY 或 RSP 对比,或审计某一册的签名与评分规则;不用于获取实时行情。
运行要求
远程 streamable HTTP 端点,无需 API 密钥。仅返回已完全评分的预测册,因此最新数据会滞后一个评分周期(通常约十个交易日)。
安装前请注意
这是过往预测的只读记录,不构成投资建议,也不是实时信号;服务器返回的 verified 字段是其自身校验结果,如需可信请自行复现签名与时间戳验证。不要求任何凭据。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Timefire,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/ai.timefire%2Frecord/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": {
    "timefire": {
      "type": "http",
      "url": "https://api.timefire.ai/mcp/"
    }
  }
}

工具

12

list_resolved_batches

Book history

List graded books, newest first, one summary row each: date, returns, alpha against SPY and RSP, and verdict. A book (or batch) is one trading day's full S&P 500 slate. Use this to find a trading_date, then get_resolved_batch for every forecast in that book or verify_batch for its proof. Dates with no graded book return an empty list.

输入参数limitto_datefrom_date

get_resolved_batch

One book

Get one graded book with every forecast and its outcome. A book (or batch) is one trading day's full S&P 500 slate, served once its long picks are fully graded, so other rows can still have null outcomes. Use list_resolved_batches to find the date, verify_batch for the book's proof and get_book_portfolio for its portfolio. An ungraded or unknown date is an error.

输入参数trading_date必填

get_track_record_stats

Headline stats

Get aggregates computed only from fully resolved books: forecast counts, returns and hit rates, and how many books beat, matched (flat) or trailed SPY, each book's verdict graded on its cap-weighted long picks. The hit rates count the books graded under the published rule, from published_rule_from on; the 69 backtest books before it follow a rule of their own and are reported apart in the backtest_ fields, verdicts included. Use this for overall performance, get_calibration to test the ranking itself, and get_book_portfolio for a single book.

无需输入参数。

get_calibration

Calibration

Check whether forecasts matched outcomes: mean predicted against mean realized return by decile across every graded book, and hit rates by rank bucket and by side (long or short) across books graded under the published rule. Use this to judge how well the ranking held up, and get_track_record_stats for headline returns and the verdict tally.

无需输入参数。

get_universe_and_scoring_spec

Record spec

Get the versioned scoring rules, the metric definitions and the latest graded book's universe of stocks. Use this before interpreting a stat or a verdict, to learn how books are graded and which stocks are covered.

无需输入参数。

get_stock_resolved_history

One stock's history

Get one stock's rows from graded books only, newest first: its forecast, rank, pick side and outcome in each book. Use this to follow one ticker across books, explain_resolved_prediction for the evidence behind one row, and get_resolved_batch for a whole book. An unknown ticker returns an empty list.

输入参数limitticker必填

verify_batch

Verification record

Get the public proof for one graded book: signed payload, hash, signature, content address and timestamp material, with the steps to check them. The verified field is the server's own check; the evidence lets you repeat it yourself. Use this to check a book's signature and timestamp, and get_resolved_batch to read its forecasts and outcomes. An ungraded or unknown date is an error.

输入参数trading_date必填

get_book_portfolio

Book portfolio

Get a resolved book's portfolio: market-cap-weighted vs SPY ("cap", the default, the portfolio the ledger's verdict grades) or equal-weighted vs RSP ("equal"), with each long pick's weight and graded return, the book return, the benchmark return and its evidence, alpha and verdict. Equal weights always pair with RSP and cap weights with SPY. Per prediction, books serve the two as equal_weight and market_cap_weight; never read a pick's cap_weight as either without checking inference_metadata.weighting. Use this for one book's result, and get_simulation_nav for the running portfolio across books. An ungraded or unknown date is an error.

输入参数weightingtrading_date必填

search_docs

Search the docs

Find the developer guides and site pages that match a few words. Each hit carries the page title, its canonical URL and a short excerpt. Use this for how Timefire works and what its terms mean, not for record data. No match returns an empty list, so try other words.

输入参数limitquery必填

get_simulation_nav

Portfolio value

Get the paper portfolio's daily value (NAV), market-cap-weighted vs SPY ("cap", the default) or equal-weighted vs RSP ("equal"), with both benchmarks on every row. There is one row per resolved trading day. The series stops at the newest date by which every book is revealed, because a later value holds positions from books still sealed. Use this for portfolio value over time, and get_simulation_trades for the trades behind it.

输入参数to_datefrom_dateweighting

get_simulation_trades

Portfolio trades

Get the paper portfolio's closed trades from resolved books, newest first, market-cap-weighted ("cap", the default) or equal-weighted ("equal"): the two trade at the same prices and differ in weight, and so in size and P&L. Open positions never appear. Date bounds apply to the day a trade opened; narrow them to see past the limit. Use this for individual trades, and get_simulation_nav for portfolio value.

输入参数limitto_datefrom_dateweighting

explain_resolved_prediction

Explain a prediction

Get the stored evidence behind one stock's forecast in a graded book: its rank, side, market regime, 5- and 20-day lookback returns, news items and notes. Use this to see the context a stock was ranked in, and get_stock_resolved_history to find which books hold it. An ungraded date, or a ticker not in that book, is an error.

输入参数ticker必填trading_date必填

版本历史

1
  1. v0.1.0最新Nov 7, 2026

评分

已满足适用检查项的 72%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分

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  • 文档15 分

    请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。