Trading Signals

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.

Install

Claude Code Plugin (recommended)

/plugin install roman-rr/trading-skills

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

npx skills add roman-rr/trading-skills

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

Works without a key (3-signal preview). For the full feed, 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.

Claude Code

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

Claude app (Desktop & claude.ai) — Customize → Connectors → Add custom connector, URL https://signals.x70.ai/mcp. Connectors have no header field, so with a key use https://signals.x70.ai/mcp?apiKey=YOUR_KEY.

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "trading-signals": {
      "url": "https://signals.x70.ai/mcp",
      "headers": { "X-Api-Key": "YOUR_KEY" }
    }
  }
}

Codex (~/.codex/config.toml, key in 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

# Claude Code
git clone https://github.com/roman-rr/trading-skills.git
cp -r trading-skills/trading-signals ~/.claude/skills/trading-signals

# OpenAI Codex CLI
cp -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

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

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?"

Pricing

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.