Decker AI

The deterministic market-state layer your trading agents call.

Rules trade, LLMs explain. Live, non-custodial, with receipts.

Open the app · Telegram bot · Kakao channel · API docs

What you get

• Signals you can act on, with context. Not "BUY" — GO / WATCH / HOLD + progress_pct (0–100% lifecycle) + entry / stop / target.
• It explains itself. Every signal has a structural cause (multi-timeframe alignment, state machine phase) that an LLM translates into plain language.
• Same engine, two markets. Crypto (24/7) + Korean equities (KOSPI + KOSDAQ, Beta).
• Use it your way. Web app, Telegram, Kakao channel, REST API, or MCP server inside Claude / Cursor.

"Where are we in the current structural cycle — and what's the next optimal move?"

Get started in 60 seconds

Free tier is generous (30 calls/day on the API; Web + Telegram included). During Beta, signed-up users get PRO access for free.

See it in action

Start here — 30 seconds. No signup, no key.

curl -s https://api.decker-ai.com/api/v1/public/demo | jq .

▶️ Play — MCP journey demo (30s) · One live session, all 13 tools: explore a market → set your risk profile → decide → execute → manage — zero LLM in the signal path.

Shorter cut with the response and the plain-language takeaway shown together on every call (no separate captions needed): Play — Shorts cut (35s)

The engine room — live FSM, MTF alignment, R:R

▶️ Play — the live cockpit (16s) · Every signal traces to a structural cause: progress_pct + operation_gate + entry / stop / target.

Signal → execution, non-custodial

▶️ Play — non-custodial execution (16s) · Click Order · wallet-sign · custody 0. Decker relays your signature only (revocable agent wallet, EIP-712). For information only — not investment advice.

Read it daily — and we score our own calls

▶️ Play: web hub (10s) · Telegram (6s)

Every morning (08:00 KST): the engine's view per symbol — baseline, what winning and losing look like, and a pick you can answer. Evening: the same view scored against what actually happened — hits and misses alike, on the record. We stamp our wrong calls too.

Web hub: decker-ai.com/briefing · Subscribe: @deckerclawbot → /briefing

Korean equities (KRX) — Beta, free

▶️ Play — KRX (16s) · Same deterministic engine on KOSPI + KOSDAQ. Portfolio states — ADD / HOLD / REDUCE / EXIT, not buy/sell. Daily closing-bell checkup at 16:30 KST · @krxdeckerbot.

Three things that make it different

1. progress_pct — every signal has a lifecycle. A signal at 25% progress is a different trade than the same signal at 80%. Most tools just say "BUY"; Decker tells you where in the move you are.

Entry                                                           Target
  0%──────────33%──────────50%──────────67%──────────83%────────100%
 Wait       Entry        Active       Late TP      Final TP     Exit

2. GO / WATCH / HOLD — three gates, not binary.

WATCH is the gate most tools skip. It's why users enter too early.

3. Deterministic + traceable. LLM explains, doesn't decide.

Pricing

Beta (now): all authenticated users get PRO for free via BETA_TIER_OVERRIDE=PRO. No payment required.

Web sign-up and Telegram bot are always free for the basics.

For developers

Building a bot, app, or agent on top of Decker? Everything you need — REST endpoints, MCP server (Claude / Cursor / Codex), Python SDK, OpenClaw skill, self-host — lives in one place:

→ DEVELOPER_README.md

# 60-second smoke test (no auth needed)
curl https://api.decker-ai.com/api/v1/public/demo

# With an API key (decker-ai.com → Settings → API Keys, or Telegram /apikey)
curl "https://api.decker-ai.com/api/v1/public/signals/BTCUSDT/latest?timeframe=1h" \
  -H "X-API-Key: dk_live_xxx"

Prefer a runnable file? → examples/quickstart.py — zero dependencies (stdlib only), no key, prints the composed view + receipts in one run. Wrapping Decker for an agent crew: examples/langgraph_decker_tool.py. More in examples/.

The demo returns the composed view — the same card our daily briefing sends: