Backtestport

io.github.CloudCorpRecords由 GitHub 账号 CloudCorpRecords 发布v0.1.0更新于 Nov 7, 2026

回测引擎客户端:指标、策略验证、回测、信号和市场数据。

AI 翻译由 AI 模型根据下方的原文描述翻译,可能有误。

原文描述

Backtesting engine client: indicators, strategy validation, backtests, signals and market data.

已验证STDIO仅桌面金融

概览

Backtestport 的本地 MCP 服务;无需登录;STDIO;19 个工具。

暂无 AI 概览:以下信息来自注册中心条目和服务本身。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Backtestport,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。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

backtestport

Backtest a trading strategy without standing up your own engine. backtestport is a small client for the Backtest360 hosted backtesting engine: you hand it a strategy document and it validates the document, runs the backtest, evaluates the latest signal, compares several strategies on the same data, and fetches the market and macroeconomic data the engine can work with — plus the indicator catalog, templates and reference data you need to write the strategy in the first place.

This is a backtesting client only. It has no live-trading, order-placement or account tools, and nothing it does moves money.

Responses come back exactly as the engine returned them: nothing is trimmed, renamed or summarised on the way through, apart from the output byte cap described below.

Configuration

Four environment variables control the client:

  • BACKTEST360_API_KEY (required) — sent on every request as the X-API-Key header. When it is not set, every tool fails with BACKTEST360_API_KEY is not set before any request is made.
  • BACKTEST360_ENGINE_URL (optional) — engine base URL. Defaults to https://api.backtest360.com.
  • BACKTEST360_MCP_TIMEOUT (optional) — per-request timeout in seconds, default 300. A request that runs past it fails with backtest360 request timed out.
  • BACKTEST360_MCP_MAX_OUTPUT_BYTES (optional) — response size cap in bytes, default 100000. A longer body is truncated to the cap and a final line {"truncated_by_mcp": true} is appended, so a huge equity curve cannot flood the caller.

Reading the results

Two engine answers that look like failures are not:

  • Strategy validation returns {valid: false, errors: [...]} when the document has problems. That is a normal result — the errors are structured and locatable so you can fix the document.
  • A backtest the engine declines returns {accepted: false}. That is also a normal result.

Actual failures are errors: HTTP 429 fails with backtest360 rate limited (HTTP 429); retry after <value> when the engine sends a Retry-After header (without the suffix when it does not), any other non-2xx reply fails with backtest360 error: HTTP <status>, and an unreachable engine fails with backtest360 unreachable.

Strategy arguments (strategy, and each item of strategies) accept either a JSON object or a JSON string, which is parsed before sending; a string that does not parse fails with strategy is not valid JSON.

Three arguments shape a backtest run:

  • response_detail — summary (default), stats or full: how much of the verdict comes back.
  • max_series_points — cap on returned series length, default 500; it must be an integer of at least 2, checked locally before any request (max_series_points must be an integer >= 2).
  • include — any of trades, equity_curve, monthly_returns, yearly_returns and signal_diagnostics, each adding its series to the verdict.

Tools

Discovery and account:

  • engine_info — engine version, API contract, health.
  • get_me — what the configured key can do: permission scopes, limits, current usage, capability flags.
  • get_catalog — the reference catalogs (operators, execution modes, stop types, sizing methods, bar frequencies, metric sections); pass catalog to fetch just one.
  • list_indicators — indicator discovery with per-indicator parameter schemas; search narrows the list.
  • list_templates — predesigned strategy templates, listed compactly, or one in full when id is given.
  • get_strategy_schema — the JSON Schema for strategy documents.

Strategies and runs:

  • validate_strategy — check a strategy document without running it.
  • run_backtest — run a backtest; symbol, start, end, the shaping arguments above, and data (inline bars as an object) are all optional.
  • get_latest_signal — evaluate the most recent bar only; no P&L.
  • compare_backtests — run several strategies on the same data, side by side.
  • compute_stats — compute the metric set from an externally produced returns series.

Market and macro data:

  • search_tickers / list_tickers — the fetchable symbol universe.
  • get_data_range — available history and a bar-count estimate for a symbol.
  • get_ticker_info — symbol identity and data coverage in a single call.
  • get_quote — latest available price for a symbol.
  • get_price_history — OHLCV history over a date range (start, end, frequency; with server-side data the engine fixes bars at 1d — the argument is accepted and forwarded).
  • list_macro_series / get_macro_series — the macroeconomic series catalog, and one series' observations over an optional date range.

Endpoint provenance

The original project's README pins the 19 tools, the shaping-argument semantics, the four environment variables with their defaults, the X-API-Key header and the rule that validation results and engine rejections are data. The wire paths below are reconstructions, labelled as such: GET /engine/info, GET /me, GET /catalogs, GET /indicators, GET /templates[/{id}], GET /strategy/schema, POST /strategy/validate, POST /backtests, POST /signals/latest, POST /backtests/compare, POST /stats, GET /tickers/search, GET /tickers, GET /tickers/{symbol}/data-range, GET /tickers/{symbol}, GET /tickers/{symbol}/quote, GET /tickers/{symbol}/history, GET /macro, GET /macro/{series} — all under the configured base URL, with path segments and query values URL-encoded.

CLI

Each tool is a subcommand taking one JSON argument string:

bash
npx @reneturcios/backtestport engine_info '{}'npx @reneturcios/backtestport validate_strategy '{"strategy":{"name":"sma-cross","rules":[]}}'npx @reneturcios/backtestport run_backtest '{"strategy":{"name":"sma-cross"},"symbol":"AAPL","include":["equity_curve"]}'npx @reneturcios/backtestport get_quote '{"symbol":"AAPL"}'npx @reneturcios/backtestport --version

Output is the tool's result text (the upstream JSON on success). Exit codes: 0 on success, 1 on a runtime error (including a missing key, a validation failure or an upstream failure), 2 on a usage error.

MCP server

bash
npx -y @reneturcios/backtestport mcp

MCP client config:

json
{  "mcpServers": {    "backtestport": {      "command": "npx",      "args": ["-y", "@reneturcios/backtestport", "mcp"],      "env": {        "BACKTEST360_API_KEY": "<your key>"      }    }  }}

Docker

bash
docker run -i ghcr.io/cloudcorprecords/backtestportdocker run --rm ghcr.io/cloudcorprecords/backtestport get_quote '{"symbol":"AAPL"}'

Development

bash
npm installnpm run build   # tsc -> dist/npm test        # tsx --test test/*.test.ts (fake fetch only, no network)npm run dev     # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

来源:README.md,提交 b788b1b

工具

19

engine_info

Engine version, API contract, health.

无需输入参数。

get_me

What the configured key can do: permission scopes, limits, current usage, capability flags.

无需输入参数。

get_catalog

Reference catalogs: operators, execution modes, stop types, sizing methods, bar frequencies, metric sections.

输入参数catalog

list_indicators

Indicator discovery; per-indicator parameter schemas.

输入参数search

list_templates

Predesigned strategy templates — discover compactly, fetch one in full, ready to validate and run.

输入参数id

get_strategy_schema

JSON Schema for strategy documents.

无需输入参数。

validate_strategy

Validate a strategy without running it — returns structured, locatable errors.

输入参数strategy必填

run_backtest

Run a backtest of a strategy over historical data for the given symbol and date range.

输入参数enddatastartsymbolincludestrategy必填response_detailmax_series_points

get_latest_signal

Evaluate the most recent bar only (no P&L).

输入参数symbolstrategy必填

compare_backtests

Run several strategies on the same data, side by side.

输入参数includestrategies必填response_detailmax_series_points

compute_stats

Compute the metric set from an externally produced returns series.

输入参数returns必填

search_tickers

Search the fetchable symbol universe.

输入参数query必填

list_tickers

List the fetchable symbol universe.

无需输入参数。

get_data_range

Available history and bar-count estimate for a symbol.

输入参数symbol必填

get_ticker_info

Symbol identity and data coverage in a single call.

输入参数symbol必填

get_quote

Latest available price for a symbol.

输入参数symbol必填

get_price_history

OHLCV price history over a date range.

输入参数endstartsymbol必填frequency

list_macro_series

List the macroeconomic series catalog.

无需输入参数。

get_macro_series

Fetch one macro series' observations.

输入参数endstartseries必填

版本历史

1
  1. v0.1.0最新Nov 3, 2026

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