Trading Signals

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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 includes entry, SL, TP, leverage, position size, and a full transmission chain showing exactly which data points led to the trade.

FREE during beta. More stars = more development time = better signals for everyone.

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 Desktop / Claude Code / Cursor)

claude mcp add trading-signals --transport http -- https://signals.x70.ai/mcp

Or add to Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

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

Exposes 5 tools: register, get_signals, get_signal, get_signal_history, get_stats.

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

Related MCP server: cerebrus-pulse-mcp

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

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

FREE during beta -- no charges, no credit card.

Contributing

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

License

Proprietary -- Free API during beta. Paid license required for commercial redistribution. See LICENSE.txt.