Signalradar

Monitor Polymarket prediction markets for probability changes. Get alerts when thresholds are crossed.

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You choose exactly which markets to monitor — paste Polymarket URLs, or find them right from the CLI with discover (keyword search / trending browse, v1.3.0). Zero dependencies (Python stdlib only).

There are two ways to use SignalRadar:

1. MCP server — plug read-only Polymarket query tools into any AI agent (Claude Code/Desktop, Cursor, Windsurf, ...). Start here if you are wiring up an agent.
2. CLI skill — a stateful watchlist monitor with scheduled checks, threshold alerts, and weekly digests. Start here if you want standing alerts pushed to you.

Use from AI Agents (MCP Server)

An optional read-only MCP server lives in mcp/. It exposes SignalRadar's battle-tested Polymarket data core to any MCP client:

Tool	What it does
discover_markets	Find open markets by keyword, or browse trending (24h volume desc)
search_markets	Resolve a Polymarket event by URL, slug, or keywords
get_market	Current snapshot: probability, 24h volume, liquidity, status
get_price_trend	7-day price trend stats plus sampled history points
check_threshold	Stateless preview of current probability vs a given baseline

pip install -r mcp/requirements.txt
claude mcp add signalradar -- python3 /path/to/signalradar/mcp/server.py

The main skill stays zero-dependency; the mcp dependency is isolated to that folder. Tools never raise — failures return structured {"error", "message"} payloads. See mcp/README.md for the full reference.

Quick Start (CLI)

git clone https://github.com/vahnxu/signalradar.git
cd signalradar

# 1. Health check
python3 scripts/signalradar.py doctor --output json

# 2. Add markets (guided setup or by URL)
python3 scripts/signalradar.py add
python3 scripts/signalradar.py add https://polymarket.com/event/gpt5-release-june

# 3. Monitoring auto-starts after first add (every 10 min)

# 4. Check schedule status
python3 scripts/signalradar.py schedule

# 5. Manual check (dry-run)
python3 scripts/signalradar.py run --dry-run --output json

First run records baselines. Subsequent runs detect changes and send alerts.

How It Works

User adds URL  --->  SignalRadar  --->  Delivery Adapter
                     (detect change)     (alert you)
                     threshold check

1. You add markets by URL (add) — or find candidates first with discover "<keywords>" (read-only)
2. SignalRadar fetches live probability from Polymarket API
3. Compares against recorded baseline
4. Sends alert when change exceeds threshold (default: 5 percentage points)
5. Baseline updates after each alert

Commands

# Discover markets by keyword or trending (read-only, v1.3.0)
python3 scripts/signalradar.py discover                          # Trending
python3 scripts/signalradar.py discover "fed rate cut" --limit 5 # Keyword search

# First-time setup (bot mode, 3-step)
python3 scripts/signalradar.py onboard --step preview --output json
python3 scripts/signalradar.py onboard --step confirm --keep 1,2,3 --output json
python3 scripts/signalradar.py onboard --step finalize --output json

# Add a market (guided setup or by URL)
python3 scripts/signalradar.py add                              # Guided setup (terminal)
python3 scripts/signalradar.py add <polymarket-url> [--category AI]

# List all monitored entries
python3 scripts/signalradar.py list

# Show one monitored market
python3 scripts/signalradar.py show 2
python3 scripts/signalradar.py show gpt --output json

# Remove an entry by number
python3 scripts/signalradar.py remove 3

# Run a check
python3 scripts/signalradar.py run [--dry-run] [--output json|openclaw]

# View or change settings
python3 scripts/signalradar.py config [key] [value]
python3 scripts/signalradar.py config threshold.abs_pp 8.0

# Manage auto-monitoring schedule
python3 scripts/signalradar.py schedule [N|disable] [--driver auto|crontab|openclaw]

# Preview or send periodic digest
python3 scripts/signalradar.py digest [--dry-run] [--force] [--output text|json|openclaw]

# Health check
python3 scripts/signalradar.py doctor --output json

For event URLs that expand to more than 3 markets, add force-shows a market preview (count, type summary, and market list) and requires interactive confirmation. --yes is rejected on that large-batch path.

Delivery: Get Alerts Your Way

Webhook (Recommended) — Slack, Discord, Telegram Bot API, etc.

Portable across all platforms (OpenClaw, Claude Code, standalone). Zero LLM cost when paired with crontab scheduling.

{
  "delivery": {
    "primary": {
      "channel": "webhook",
      "target": "https://hooks.slack.com/services/YOUR/WEBHOOK/URL"
    }
  }
}

Save as ~/.signalradar/config/signalradar_config.json.

File (local JSONL log)

{
  "delivery": {
    "primary": {
      "channel": "file",
      "target": "/path/to/alerts.jsonl"
    }
  }
}

OpenClaw (platform messaging — OpenClaw only)

Default when installed via ClawHub. Not portable to other platforms. See OpenClaw install below.

Auto-Monitoring

SignalRadar attempts to auto-enable 10-minute background monitoring after the first successful add or onboard finalize (v0.9.0). Prefers system crontab with --push (zero LLM cost); falls back to openclaw cron when crontab is unavailable.

Route gate (OpenClaw users): When using openclaw delivery with crontab scheduling, auto-monitoring requires a captured reply route (~/.signalradar/cache/openclaw_reply_route.json). If no route is stored, the CLI refuses to arm the cron job and returns route_missing — it will not silently enable a schedule that cannot push. The route is automatically captured during any foreground bot interaction. Use schedule --output json to check route_ready status.

If profile.language is still empty on the first successful add, SignalRadar snapshots the detected system-message language into user config so background notifications stay consistent.

signalradar.py schedule              # Show current status
signalradar.py schedule 30           # Auto driver (crontab-first)
signalradar.py schedule 10 --driver openclaw  # Force OpenClaw cron
signalradar.py schedule 10 --driver crontab   # Force system crontab
signalradar.py schedule disable      # Disable auto-monitoring

Runtime Data Directory

SignalRadar stores user data outside the skill directory so clawhub update will not wipe your watchlist or baselines.

• Default data root: ~/.signalradar/
• Config: ~/.signalradar/config/signalradar_config.json
• Watchlist: ~/.signalradar/config/watchlist.json
• Baselines: ~/.signalradar/cache/baselines/
• Audit log: ~/.signalradar/cache/events/signal_events.jsonl
• Last run metadata: ~/.signalradar/cache/last_run.json
• Digest snapshot state: ~/.signalradar/cache/digest_state.json

For local testing, override with SIGNALRADAR_DATA_DIR=/tmp/signalradar.

Threshold vs Frequency

• Threshold — how much probability must change before an alert fires. Use config to adjust.
• Frequency — how often SignalRadar checks markets. Use schedule to adjust.

Understanding Results

Status	Meaning
BASELINE	First observation. Baseline recorded, no alert.
SILENT	Change below threshold. No alert.
HIT	Threshold crossed. Alert sent. Baseline updated.
NO_REPLY	No markets crossed threshold.

Example HIT:

GPT-5 release by June 2026: 32% -> 41% (+9pp), crossing 5pp threshold. Baseline updated to 41%.
📈 7d: 28% -> 41% (low 26% · high 43%)
💰 24h vol $12.7k · liq $690k

Since v1.1.0, HIT alerts include optional display-only context lines: a 7-day price trend and 24h volume / liquidity. Lines are omitted when data is unavailable; set source.trend_context to false to disable them. Context never affects threshold decisions or baselines.

Configuration

All optional. Works out of the box with defaults.

Setting	Default	Description
threshold.abs_pp	5.0	Alert threshold in percentage points
threshold.per_category_abs_pp	{}	Per-category override
delivery.primary.channel	webhook	Supported: webhook (recommended), openclaw, file
digest.frequency	weekly	off, daily, weekly, biweekly
digest.day_of_week	monday	Weekly digest weekday
digest.time_local	09:00	Local send time for digest
digest.top_n	10	Top movers shown in human digest
baseline.cleanup_after_expiry_days	90	Baseline cleanup after market ends
source.trend_context	true	Show 7d trend + 24h volume/liquidity context lines in HIT alerts
profile.language	""	System-message locale (zh / en), empty = automatic detection (env first, timezone fallback)

See references/config.md for full reference.

run --output json keeps the frozen fields (status, request_id, ts, hits, errors) and may include an observations array for agent-side filtering.

run --output openclaw is reserved for platform scheduling. It prints HEARTBEAT_OK on quiet runs, user-ready alert text on HIT runs, and digest text when a scheduled digest is due and the primary delivery channel is openclaw.

add --output json returns structured added / skipped results and includes a schedule object when the first successful add attempts auto-monitoring (the object is present even when route gate blocks arming, with auto_enabled: false). onboard --step finalize --output json returns its own ONBOARD_COMPLETE payload with a separate schedule field.

digest --output json returns a structured digest preview/snapshot. Human-readable digest text groups large multi-market events by event and shows top movers instead of dumping every market.

Digest

SignalRadar v0.8.3 includes a periodic digest. It compares the current monitored state against the previous digest snapshot, not against the per-run alert baseline.

• Includes both markets that already triggered realtime HIT alerts and markets with net-over-period changes that never crossed the realtime threshold.
• Uses grouped event summaries for large multi-market events.
• Full detail remains available via digest --output json.
• The first automatic digest is bootstrap-only: SignalRadar records the initial digest snapshot silently, then starts user-facing automatic digest delivery from the next report cycle. Use digest --force if you want an immediate preview.

OpenClaw Install

If you use OpenClaw, install directly from the marketplace:

clawhub install signalradar

Requirements

• Python 3.9+
• Network access to gamma-api.polymarket.com (and clob.polymarket.com for trend context)
• No pip dependencies (stdlib only); the optional MCP server has its own isolated requirement

License

MIT