Trading Signals

io.github.roman-rr由 GitHub 账号 roman-rr 发布v1.1.0更新于 Nov 2, 2026

Live AI crypto trading signals for agents. Try 3 signals without a key; sign in from your agent.

发布方自己的服务：SIGNALS Loyalty Agent Platform

已验证Streamable HTTP可网页运行金融 AI 与机器学习

服务详情

标识符: io.github.roman-rr/trading-signals
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 roman-rr。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.roman-rr%2Ftrading-signals.svg)](https://sourceweft.com/mcp/io.github.roman-rr%2Ftrading-signals?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

远程 MCP 服务器，让助手获取带推理依据、验证结果和整体绩效统计的实时 AI 加密货币交易信号。

可以做什么: 列出仍处于开放状态的加密交易信号，含币种、方向、置信度及背后推理
按 ID 获取单条信号（进行中或已结算），含价格、盈亏以及是否触及止盈或止损
查看已结算信号的历史记录，按时间倒序并附验证结果
读取命中率、已验证数量、平均杠杆、方向分布等汇总统计，带密钥时还有 ROI 数据
调用已弃用的 register 工具，它只返回注册链接
适用场景: 适合让助手汇总当前加密交易思路、解释信号背后的推理，或回顾历史信号表现。更偏向研究与模拟交易场景，而非自动下单执行。
运行要求: 远程 HTTP 端点，无需本地运行时或安装包。公开地址无需账号即可使用，返回 3 条信号预览。完整信号、历史记录和 ROI 统计需通过客户端登录，或提供 API 密钥：请求头 X-Api-Key、查询参数 apiKey，或 Codex 使用的环境变量 SIGNALS_API_KEY。

安装前请注意

信号是第三方交易建议而非投资建议，README 中的示例行明确不是实时数据。Pro 功能（入场价、止损、止盈、杠杆、仓位）在 14 天试用后为每月 35 美元或每年 300 美元，不订阅则不扣费。把 API 密钥放在 URL 查询参数中可能经日志泄露。register 工具已弃用且不存储任何内容。

安装

在 SourceWeft 中

打开控制台中的 Trading Signals，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.roman-rr%2Ftrading-signals/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "trading-signals": {
      "type": "http",
      "url": "https://signals.x70.ai/mcp"
    }
  }
}

README

Trading Signals

[Trading Signals for AI Agents]

17 triggers. 44 algorithms. 3 AI experts. Every signal backed by causal reasoning and verified against real prices.

Live crypto trading signals for Claude Code, OpenAI Codex, Cursor, Windsurf & 30+ AI agents. Every signal comes with its reasoning — a transmission chain showing exactly which data points led to the trade — and is verified against real prices. Pro adds the trade levels: entry, stop-loss, take-profit, leverage and position size. See Pricing.

Updates, new features and how-tos: follow @x70signals on X.

Install

Claude Code Plugin (recommended)

npx (Claude Code, Codex, Cursor, Windsurf, etc.)

MCP Server (Claude, Cursor, VS Code, Codex)

Sign in from your agent (recommended). Add the URL below and your client opens a browser page where you sign in or create a free account — 14 days of Pro, no card — and click Allow. No key to copy.

Claude Code

bash

claude mcp add --transport http trading-signals https://signals.x70.ai/mcp/connect# then in Claude Code: /mcp → trading-signals → Authenticate

claude mcp add --transport http trading-signals https://signals.x70.ai/mcp/connect# then in Claude Code: /mcp → trading-signals → Authenticate

Claude app (Desktop & claude.ai) — Customize → Connectors → Add custom connector, URL https://signals.x70.ai/mcp/connect.

Cursor (~/.cursor/mcp.json)

Try it without an account: use https://signals.x70.ai/mcp instead — 3 live signals plus the verified hit rate. When you ask for more, your client offers to sign in.

With an API key (Codex, scripts, clients that can't sign in) — get a free key at https://signals.x70.ai/mcp-signup?utm_content=github-readme; the API Key page has copy-paste setup for every client.

bash

claude mcp add --transport http trading-signals https://signals.x70.ai/mcp --header "X-Api-Key: YOUR_KEY"

claude mcp add --transport http trading-signals https://signals.x70.ai/mcp --header "X-Api-Key: YOUR_KEY"

Claude app with a key: https://signals.x70.ai/mcp?apiKey=YOUR_KEY (connectors have no header field).

Codex (~/.codex/config.toml, key in env var SIGNALS_API_KEY)

toml

[mcp_servers.trading-signals]url = "https://signals.x70.ai/mcp"bearer_token_env_var = "SIGNALS_API_KEY"

[mcp_servers.trading-signals]url = "https://signals.x70.ai/mcp"bearer_token_env_var = "SIGNALS_API_KEY"

Tools: get_signals, get_signal, get_signal_history, get_stats (register is deprecated — keys come from the dashboard).

OpenAI Codex CLI

See agents/openai.yaml for agent configuration.

Manual

bash

# Claude Codegit clone https://github.com/roman-rr/trading-skills.gitcp -r trading-skills/trading-signals ~/.claude/skills/trading-signals
# OpenAI Codex CLIcp -r trading-skills/trading-signals ~/.codex/skills/trading-signals

# Claude Codegit clone https://github.com/roman-rr/trading-skills.gitcp -r trading-skills/trading-signals ~/.claude/skills/trading-signals
# OpenAI Codex CLIcp -r trading-skills/trading-signals ~/.codex/skills/trading-signals

Always Watching

17 Triggers. 6 Groups. Every Minute.

The sentinel continuously scans 50+ perpetual markets for anomalies across six orthogonal dimensions -- volume, positioning, price dynamics, cross-asset flows, microstructure, and options-derived signals. A signal fires only when multiple independent dimensions agree, filtering noise from genuine opportunities.

Multi-Expert Consensus

Three specialized AI experts analyze every opportunity independently -- each with a different lens on market structure. Signals require agreement; conflicting views are flagged or filtered. The system continuously learns which analytical approaches perform best per market condition.

Research-Grounded

44 Scientific Methods. 53 Academic Citations.

Every algorithm is grounded in peer-reviewed research from quantitative finance, statistics, and machine learning -- spanning position sizing, anomaly detection, technical analysis, market microstructure, and adaptive risk management.

What You Get

Feature	Description
Live signals	Bullish/bearish with full trade setup -- entry, SL, TP, leverage, position size
Transmission chains	2-4 causal reasoning steps per signal with specific data points
50+ coins	Dynamically selected from top volume, funding, and OI on Hyperliquid perps
Confidence score	0-100 AI conviction level per signal
Auto-verification	Every signal tracked against real prices -- TP/SL monitoring every minute
Paper trading P&L	Real trades on a virtual account with optimal position sizing
Dynamic risk control	Confidence-based leverage caps, volatility-calibrated SL, automatic regime detection
Performance stats	Hit rate, cumulative ROI, profit factor, breakdown by direction/coin/model

Signal Preview

Example rows — not live data. Entry, SL, TP and leverage are returned on Pro; the free plan returns coin, direction, confidence and the reasoning.

API Endpoints

Method	Path	Auth	Description
POST	/api/skill/register	No	Deprecated — returns `signup_required`; get keys at /mcp-signup
GET	/api/skill/signals	API key	List signals (active/verified/all)
GET	/api/skill/signals/:id	API key	Single signal detail
GET	/api/skill/stats	API key	Performance statistics

Example Prompts

Once installed, ask your AI agent:

"Get me the latest crypto trading signals"
"Show me today's highest-confidence BTC and ETH signals"
"What's the 30-day hit rate for these trading signals?"
"Build me a Python script that fetches crypto signals and alerts me on Telegram"
"Show me verified signals from the last week -- what hit TP?"

Paper-trade it first

Want to see how the signals do before you trade them? Let your agent run the paper-trading bot on your machine. It takes each new signal as a $100 paper position at the live price, charges fees on both sides, and logs every trade, wins and losses, to a CSV you own. No real orders, no exchange account; one Python file, standard library only.

The API Key page has a ready prompt for Claude Code, Codex or Cursor, with your key filled in. Our own copy has been running since Oct 7: its live record.

Pricing

	No key	Free key	Pro
Signals	3-signal preview	every live signal — coin, direction, confidence, reasoning	everything in Free + entry, stop-loss, take-profit, leverage, position size
History	—	24 hours	30 days
Rate limit	30 calls/hour per IP	300 calls/hour	effectively unlimited
Price	free	free	$35/month or $300/year

New accounts get a 14-day Pro trial — no card. Nothing is charged unless you subscribe. Pricing & sign-up

Contributing

Issues, feature requests, and PRs are welcome. Please open an issue first to discuss changes.

If this is useful, a ⭐ helps other people find it.

License

Proprietary — the source is readable; a paid license is required for commercial redistribution. See LICENSE.txt.

来源：README.md，提交 3424b52

工具

register

Deprecated: returns a sign-up link instead of creating an API key, ignores its arguments and stores nothing. Don't call it to get access — every other tool works without a key (get_signals returns a 3-signal preview, get_stats is public). To get the full feed, users sign in from the agent at https://signals.x70.ai/mcp/connect (the client opens the browser), or create a key at https://signals.x70.ai/mcp-signup and set it as the X-Api-Key header. Kept only so older clients don't break.

输入参数nameemailpurposegithubUrl

get_signals

Get Live Trading Signals

List live crypto trading signals that are still open — coin, direction, confidence and the reasoning or market data behind each. Use it to find current trade ideas; use get_signal for one signal by ID (live or resolved), get_signal_history for signals that already closed, and get_stats for aggregate hit rate. No key: a 3-signal preview. Free key: up to 100 signals, with entry, stop-loss, take-profit and leverage null (the response's announcement.upgradeUrl explains Pro). Pro: all levels. If a response contains an announcement, pass its message on to the user — it is about their account (trial ending, plan limits). Returns { signals[], returned, totalMatching, filtersApplied, plan }, sorted by live PnL (best first). Optional filters narrow the list: direction, coins, confidence band, risk/reward, stop distance, open interest, 24h volume, tags, the anomaly that triggered it, days/hours to skip, a BTC 24h-return gate. Rate limits: 30 calls/hour per IP without a key, 300/hour on a free key.

输入参数coindayslimitapiKeyskipDOWcoinOiMaxcoinOiMindirectioncoinVolMincoinExcludecoinIncludeskipHourUtc另有 10 个

get_signal

Get Signal Detail

Get one signal by its ID — live or already resolved — with its reasoning, live price, PnL and verification outcome (status pending, success or failed; whether take-profit or stop-loss was hit). Use it to follow up a signal from get_signals or get_signal_history, or to see how a past signal ended. Needs an API key (free or Pro); on the free plan entry, stop-loss, take-profit and leverage are null. Returns { success, signal, plan }, or { error: 'Signal not found' } for an unknown ID.

输入参数apiKeysignalId必填

get_stats

Get Trading Performance Stats

Aggregate performance of signals created in the last N days (default 30) that have since resolved: hit rate, verified count, average leverage and a breakdown by direction; with an API key also average ROI per signal and cumulative ROI. byMonth: hit rate this month, the two months before and all time — the figures shown on signals.x70.ai. Use it to judge recent reliability before acting — it returns no individual signals (use get_signals or get_signal_history for those). Public: works without a key. Past results don't predict future results.

输入参数daysapiKey

get_signal_history

Get Signal History

List signals that have already resolved (success or failed), newest first, each with its verification outcome. Use it to review past performance signal by signal; for open signals use get_signals, for one signal by ID get_signal, for totals get_stats. Needs an API key. History depth: last 24 hours on the free plan; on Pro the days argument (up to 90). Entry, stop-loss, take-profit and leverage are null on free. Paginate by passing the last signal ID as cursor. Returns { signals[], nextCursor, hasMore, historyDepthDays, plan }.

输入参数coindayslimitapiKeycursorstatus