
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
This repo packages live crypto trading signals as a skill, plugin, and MCP server. Agents can ask for current signals, signal history, and performance stats, then use the returned trade setup and verification chain.

Builders who want their agent to look up crypto trading signals inside Claude Code, Codex, Cursor, or Windsurf.
You can ask your agent for live, verified crypto signals instead of checking a separate trading dashboard.
Returns current bullish or bearish signals with entry, stop loss, take profit, leverage, and position size.
Shows the data points and reasoning steps behind each signal.
Exposes `register`, `get_signals`, `get_signal`, `get_signal_history`, and `get_stats`.
Includes install paths for Claude Code, Codex, Cursor, and Windsurf, plus a Claude plugin.
Tracks hit rate, ROI, profit factor, and verified outcomes against real prices.
/plugin install roman-rr/trading-skills
npx skills add roman-rr/trading-skills
claude mcp add trading-signals --transport http -- https://signals.x70.ai/mcp
# 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
⭐ Enjoying free signals? Push STAR to keep them free — it directly supports higher accuracy and continued development!

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.
/plugin install roman-rr/trading-skills
npx skills add roman-rr/trading-skills
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.
See agents/openai.yaml for agent configuration.
# 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
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.
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.
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.
| 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 |
| Coin | Dir | Conf | Entry | SL | TP | Lev | R/R | Type |
|---|---|---|---|---|---|---|---|---|
| BTC | Bull | 87% | $68,450 | $67,200 | $71,800 | 3x | 2.7 | momentum_shift |
| ETH | Bear | 82% | $3,840 | $3,920 | $3,680 | 2x | 2.0 | funding_anomaly |
| SOL | Bull | 79% | $142.50 | $138.00 | $152.00 | 2x | 2.1 | volume_spike |
| Method | Path | Auth | Description |
|---|---|---|---|
| POST | /api/skill/register | No | Register & get API key |
| 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 |
Once installed, ask your AI agent:
FREE during beta -- no charges, no credit card.
Issues, feature requests, and PRs are welcome. Please open an issue first to discuss changes.
Proprietary -- Free API during beta. Paid license required for commercial redistribution. See LICENSE.txt.
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