Timefire

ai.timefire由 timefire.ai 發布官方發布者v0.1.0更新於 Nov 7, 2026

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

已驗證Streamable HTTP可網頁執行金融資料與分析

概覽

AI 產生的概覽

唯讀存取 Timefire 公開的 AI 選股預測紀錄:已評分的每日標普 500 預測冊、歷史績效、校準資料與簽章證明。

可以做什麼
  • 列出並讀取已評分的每日標普 500 預測冊,含結果與評級結論
  • 追蹤單一股票跨多個預測冊的表現,並查看某筆預測背後的存檔依據
  • 取得彙總的歷史績效與校準統計,以及評分規則和股票池
  • 取得某一冊按市值加權或等權重的投資組合,以及模擬組合的每日淨值與已平倉交易
  • 驗證某一冊的簽章證明,並搜尋 Timefire 開發者文件
適用情境
適合查核或討論 Timefire 已公布的預測績效、將其選股與 SPY 或 RSP 比較,或稽核某一冊的簽章與評分規則;不用於取得即時行情。
執行需求
遠端 streamable HTTP 端點,不需要 API 金鑰。僅回傳已完全評分的預測冊,因此最新資料會落後一個評分週期(通常約十個交易日)。
安裝前請注意
這是過往預測的唯讀紀錄,不構成投資建議,也不是即時訊號;伺服器回傳的 verified 欄位是其自身檢查結果,若需可信請自行重現簽章與時間戳驗證。不要求任何憑證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Timefire,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.timefire%2Frecord/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "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.

輸入參數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.

輸入參數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.

無需輸入參數。

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.

無需輸入參數。

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.

無需輸入參數。

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.

輸入參數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.

輸入參數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.

輸入參數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.

輸入參數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.

輸入參數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.

輸入參數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.

輸入參數ticker必填trading_date必填

版本歷史

1
  1. v0.1.0最新Nov 7, 2026

評分

已滿足適用檢查項的 72%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分

    請在註冊中心條目中發布圖示。

  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。