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roman-rr

AI Trading Skills

by roman-rr

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.

Install

/plugin install roman-rr/trading-skills

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

npx skills add roman-rr/trading-skills

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

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)

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

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.

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)

[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

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

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.

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

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?"

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.

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