Backtest360

安装

选择你使用的 AI 应用，然后复制设置。

通过 4/5 项检查 · 在你的电脑上运行

claude mcp add --scope user backtest360 --env BACKTEST360_API_KEY=your-value -- uvx backtest360-mcp

{
  "mcpServers": {
    "backtest360": {
      "command": "uvx",
      "args": [
        "backtest360-mcp"
      ],
      "env": {
        "BACKTEST360_API_KEY": "your-value"
      }
    }
  }
}

{
  "mcpServers": {
    "backtest360": {
      "command": "uvx",
      "args": [
        "backtest360-mcp"
      ],
      "env": {
        "BACKTEST360_API_KEY": "your-value"
      }
    }
  }
}

{
  "servers": {
    "backtest360": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "backtest360-mcp"
      ],
      "env": {
        "BACKTEST360_API_KEY": "your-value"
      }
    }
  }
}

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档，检查于 2026年11月10日。

通过互联网连接，适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

在你的电脑上运行，适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月15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。

• get_me

  The configured API key's permissions, limits, and current usage. Cheap. Call early in a session — before planning work — to learn what this key can do instead of discovering limits through failed calls. Returns: ``scopes``: the permission scopes the key carries. ``limits``: reque

• engine_info

  Engine version, API contract number, and health. Free (not quota-counted). Call once at the start of a session to confirm the engine is reachable and which contract it serves.

• get_catalog

  Fetch one engine reference catalog. Catalogs (cheap, cacheable per session): - 'operators' — comparison operators for condition expressions - 'execution-modes' — entry/exit anchors and fill algorithms, with the validity matrix by market type - 'stop-types' — stop-loss types, re-e

• list_indicators

  List indicators, or fetch one indicator's full schema. Cheap, cacheable per session. With no arguments: a compact catalog — ``{"indicators": [...], "count": N}`` — where each entry carries id, name, category, kind, and value_dtype (no description, to keep the discovery scan small

• list_templates

  List predesigned strategy templates, or fetch one in full. Cheap, cacheable per session. The engine returns the templates available to the calling key. With no arguments: a compact catalog — ``{"templates": [...], "count": N}`` — where each entry carries id, origin, name, and des

• get_strategy_schema

  JSON Schema for the strategy document (condition_tree + indicators). Fetch this before composing a strategy by hand; the validate_strategy tool checks against the same rules.

• validate_strategy

  Validate a strategy document without running a backtest. A cheap quota separate from backtest runs, so validate freely and ALWAYS before run_backtest. Args: strategy: The strategy document — name, indicators[], and condition_tree (see get_strategy_schema for the exact shape). inj

• run_backtest

  Run a historical backtest against the engine. Quota-counted and compute-bound. Validate the strategy first (validate_strategy is far cheaper). On a 504 compute timeout, do NOT retry the same request — reduce the date range, use a coarser frequency, or simplify the strategy. On 42

• get_latest_signal

  Evaluate the strategy on the most recent bar only — no P&L, no stats. Returns the latest signal (-1/0/1), which condition slots fired, and the bar timestamp. Use for "what would this strategy do right now" questions; use run_backtest for performance.

• compare_backtests

  Run several strategies on the same data and compare side by side. One quota-counted call, but compute scales with the number of strategies. If the wall-clock compute budget is exceeded, the call fails with a tool error (504) instead of returning partial results — narrow the reque

• export_backtest

  Export a multi-strategy comparison as an Excel workbook. Quota-counted; needs a key whose plan includes full-metrics export (a 403 means the configured key's plan does not — do not retry). Returns the workbook base64-encoded — decode and write it to a ``.xlsx`` file. Args: data_s

• compute_stats

  Compute the engine's performance metrics from a returns series. Use when the returns came from somewhere other than run_backtest (an external system, a portfolio) — backtest results already include these statistics. Args: returns: Per-bar log returns as {"dates": [...], "values":

• search_tickers

  Search available assets by ticker or name (relevance-ranked). Use to resolve a user's asset mention ("bitcoin", "S&P") to the exact ticker before requesting a server-side data fetch. asset_class filters to 'stocks', 'crypto', 'forex', or 'indices'.

• list_tickers

  List available tickers, optionally filtered by asset class. The full universe is very large, so the MCP server caps the returned list and marks it ``truncated_by_mcp`` — pass asset_class to narrow it, or use search_tickers to resolve a specific asset by name.

• get_data_range

  Available date range and estimated bar count for a symbol/frequency. Available on paid plans. Call before a server-side fetch so the requested start/end stay inside what the provider can deliver and the bar count stays inside the key's per-run limit.

• get_ticker_info

  Identity and data coverage for one symbol, in a single call. Metadata only — no market data, so no paid plan is needed. Returns the asset's identity (name, asset class, exchange, currency, and whether it is still active) together with a coverage summary for the given frequency: t

• get_quote

  Latest available price for a symbol. Requires a paid plan (managed market data). Returns the most recent *available* bar for the given frequency — the end-of-day close for daily, the last completed bar otherwise — as open/high/low/close/volume plus an ``as_of`` timestamp for that

• get_price_history

  OHLCV price history for a symbol over a date range. Requires a paid plan (managed market data). ``start`` is required (``YYYY-MM-DD``); ``end`` defaults to today. Returns a summary (symbol, resolved date range, total bar count, price range, gap flags), market-hours detection, and

• list_macro_series

  List the available macroeconomic series (the catalog). Free — no special plan. Returns the set of macro series you can fetch with get_macro_series, each with its stable ``id`` (the value get_macro_series takes), title, category, native reporting frequency, and units, plus the lis

• get_macro_series

  Observations for one macroeconomic series over an optional date range. Free — no special plan. ``series`` is an ``id`` from list_macro_series (e.g. treasury_10y, cpi, unemployment_rate); arbitrary external ids are not accepted. ``start``/``end`` are ``YYYY-MM-DD``, inclusive, bot

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16日

• ✓ 通过

  作者与仓库一致

  注册名称已通过域名 backtest360.com 验证（注册中心会核实域名所有权）

• ✓ 通过

  仍在维护

  代码最后更新于4个月前

• ✓ 通过

  有许可证

  使用 MIT

• ✕ 未通过

  端点有响应

  我们检查时，6 秒内没有响应

• – 不适用

  使用 OAuth 登录

  我们检查时，6 秒内没有响应

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 20 个工具描述，未发现针对 AI 的隐藏指令

我们检查什么 → · JSON

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与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 19941 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 19941 个服务器的 15% 更新
• 基础检查结果等于或优于此分类中其他 19941 个服务器的 59%

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。

功能相近的其他选择

同一分类、其他作者、命令已通过检查。官方的排在前面，再按星标排序。

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者：koala73·广泛使用·★ 9.1万·前天更新

在云端运行✓ 服务方 · worldmonitor.app

接入方法

openstatus

Manage monitors, status pages, incidents and maintenances in your openstatus workspace.

作者：openstatusHQ·广泛使用·★ 9269·2个月前更新

在云端运行✓ 服务方 · openstatus.dev

接入方法

Oh My Posh Validator

Validate oh-my-posh configurations and segment snippets against the official schema.

作者：JanDeDobbeleer·广泛使用·★ 2.4万 整个仓库的星标·27天前更新

在云端运行✓ 服务方 · ohmyposh.dev

接入方法

Strata

MCP server for progressive tool usage at any scale (see https://klavis.ai)

作者：Klavis-AI·正在增长·★ 5827·14个月前更新

在云端运行仓库已归档✓ klavis.ai

接入方法

Jitsu

Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.

作者：jitsucom·广泛使用·★ 5135·4个月前更新

在云端运行✓ 服务方 · jitsu.com

接入方法

• World Monitor — 在云端运行，无需安装 · 不需要密钥
• openstatus — 在云端运行，无需安装 · 不需要密钥
• Oh My Posh Validator — 在云端运行，无需安装 · 不需要密钥
• Strata — 在云端运行，无需安装 · 不需要密钥
• Jitsu — 在云端运行，无需安装 · 不需要密钥

作者的 README

pip install backtest360-mcp        # or, from a clone: pip install -e .

{

{

pip install -e ".[dev]"