fAlpha

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 会计、财务与税务

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://agent.falpha.ai/mcp

claude mcp add --transport http falpha https://agent.falpha.ai/mcp

{
  "mcpServers": {
    "falpha": {
      "url": "https://agent.falpha.ai/mcp"
    }
  }
}

{
  "servers": {
    "falpha": {
      "type": "http",
      "url": "https://agent.falpha.ai/mcp"
    }
  }
}

https://agent.falpha.ai/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• falpha_signal_desk_card

  [Signal Desk] fAlpha's current model reading on one ticker, computed by quantitative models from numerical market data (no language model sets the number): the equity indicator (EI, signed: positive leans long, negative leans short) and the driver carrying the reading for the req

• falpha_signal_desk_compare

  [Signal Desk] Two tickers side by side on the current signal, with which of the two carries the stronger reading (`stronger`; EI magnitudes within 0.05 of each other are `comparable`). For questions like 'AAPL or MSFT'; falpha_screener_desk ranks more than two names. Available wi

• falpha_signal_desk_history

  [Signal Desk] The signal and its drivers stored for a past date (the newest reading on or before it). For questions like 'what did the model say in June'; falpha_signal_desk_performance covers a date range. Requires a connected fAlpha account.

• falpha_signal_desk_performance

  [Signal Desk] How a ticker moved over a date range against a benchmark, and the excess return taken in the direction of the signal on the range's first day. One reading held over one window: a realized outcome, not a forecast. For questions like 'was the model right on TSLA this

• falpha_signal_desk_flips

  [Signal Desk] The dates the signal changed direction (long to short or back) over a lookback window, the drivers at each change, and the current direction. For questions like 'when did the model turn bearish on TSLA'. Requires a connected fAlpha account.

• falpha_signal_desk_curve

  [Signal Desk] The model's term structure for a ticker: the equity indicator's direction from one day out to six months, the curve's shape (strengthening, weakening or flipping), whether the sign changes across horizons, and near/mid/long summary legs, each marked `mixed` when its

• falpha_screener_desk

  [Screener Desk] Ranks fAlpha's covered universe (5k+ US equities) by the current signal, either the equity indicator or the signal's realized Sharpe ratio, filtered by direction, sector or a minimum Sharpe ratio. Names that share the top value are listed by ticker and the result

• falpha_screener_desk_coverage

  [Screener Desk] Whether a ticker is in fAlpha's covered universe, with its sector and latest signal date, or a page through the universe. The other desks return no data for tickers outside it. Available without an account.

• falpha_sentiment_desk

  [Sentiment Desk] fAlpha's daily news sentiment score for a ticker, with the articles it was computed from and the date of the reading. For questions like 'what is the news saying about AMZN'; falpha_sentiment_desk_trend covers how it has moved. Available without an account.

• falpha_sentiment_desk_trend

  [Sentiment Desk] How news sentiment has moved over a window: the current reading (the newest scored day, with its date and article count), the change since the window opened, the direction, the high/low band and the daily series. For questions about the trajectory rather than the

• falpha_analyst_desk

  [Analyst Desk] Sell-side coverage for a ticker: recent price-target calls with source links, an accuracy-weighted consensus lean, and each analyst's historical hit rate, including their accuracy when agreeing and when disagreeing with the fAlpha model. Covered universe only. Requ

• falpha_glossary

  [Glossary] The fAlpha definition of a term the desks return: EI (equity indicator), drivers, Sharpe, Sortino, percent_positive_pnl, signal flip, term structure. Not metered. Available without an account.

• falpha_filings_scout

  [Filings Scout] Recent SEC filings for a ticker from SEC EDGAR (10-K, 10-Q and 8-K by default), newest first, each with its filing date and document URL. Requires a connected fAlpha account; not included in the free trial.

• falpha_filings_scout_facts

  [Filings Scout] Reported fundamentals from SEC XBRL filings: revenue, net income, diluted EPS, total assets, total liabilities and stockholders' equity, for the latest reported quarters and fiscal years, each with its period end and filing date. The filing is the source of record

• falpha_macro_desk

  [Macro Desk] The US macro backdrop from FRED: the fed funds rate (DFF), CPI (CPIAUCSL), unemployment (UNRATE), the 10y-2y spread (T10Y2Y) and the 10-year yield (DGS10). One series returns its recent history; with no series the full bundle is returned. Requires a connected fAlpha

• falpha_fundamentals_desk

  [Fundamentals Desk] Company profile and trailing-twelve-month ratios from FMP: sector, market cap, P/E, margins, debt/equity. Third-party reference data, not fAlpha model output. Requires a connected fAlpha account; not included in the free trial.

• falpha_open_in_web

  [Your Record] Links to the fAlpha website and the user's account page, where plan, usage and billing are shown. For questions about the user's fAlpha plan, usage, billing or account. Not metered. Available without an account.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（falpha.ai）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 431 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 17 个工具描述，未发现针对 AI 的隐藏指令

与“会计、财务与税务”中的其他服务器比较i

• 星标数多于此分类中其他 3035 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 3035 个服务器的 42% 更新
• 基础检查结果等于或优于此分类中其他 3035 个服务器的 47%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README