engine_info
Engine version, API contract, health.
无需输入参数。

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。
Backtesting engine client: indicators, strategy validation, backtests, signals and market data.
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。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
参照 仓库 中的启动说明。
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.
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.Two engine answers that look like failures are not:
{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.{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.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.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.
Each tool is a subcommand taking one JSON argument string:
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 client config:
MIT — Copyright (c) 2026 Rene Turcios
来源:README.md,提交 b788b1b
Engine version, API contract, health.
无需输入参数。
What the configured key can do: permission scopes, limits, current usage, capability flags.
无需输入参数。
Reference catalogs: operators, execution modes, stop types, sizing methods, bar frequencies, metric sections.
catalogIndicator discovery; per-indicator parameter schemas.
searchPredesigned strategy templates — discover compactly, fetch one in full, ready to validate and run.
idJSON Schema for strategy documents.
无需输入参数。
Validate a strategy without running it — returns structured, locatable errors.
strategy必填Run a backtest of a strategy over historical data for the given symbol and date range.
enddatastartsymbolincludestrategy必填response_detailmax_series_pointsEvaluate the most recent bar only (no P&L).
symbolstrategy必填Run several strategies on the same data, side by side.
includestrategies必填response_detailmax_series_pointsCompute the metric set from an externally produced returns series.
returns必填Search the fetchable symbol universe.
query必填List the fetchable symbol universe.
无需输入参数。
Available history and bar-count estimate for a symbol.
symbol必填Symbol identity and data coverage in a single call.
symbol必填Latest available price for a symbol.
symbol必填OHLCV price history over a date range.
endstartsymbol必填frequencyList the macroeconomic series catalog.
无需输入参数。
Fetch one macro series' observations.
endstartseries必填已满足适用检查项的 90%
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。
请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。
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 --versionnpx -y @reneturcios/backtestport mcp{ "mcpServers": { "backtestport": { "command": "npx", "args": ["-y", "@reneturcios/backtestport", "mcp"], "env": { "BACKTEST360_API_KEY": "<your key>" } } }}docker run -i ghcr.io/cloudcorprecords/backtestportdocker run --rm ghcr.io/cloudcorprecords/backtestport get_quote '{"symbol":"AAPL"}'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