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Smart Money Concepts Signals

Generates long/short/stand-aside trading signals from market structure (BOS, ChoCH, FVG) using the SMC method.

Source Download skill
Repository
HKUDS/Vibe-Trading
Stars
37,433
Licence
MIT
Files
4 files

What it does

This skill teaches an AI agent a specific trading-analysis method called Smart Money Concepts (also called ICT). It looks at price charts for structure breaks (BOS, ChoCH), fair value gaps (FVG) and order blocks, then produces a simple signal: 1 for long, -1 for short, or 0 to stand aside. It relies on the smartmoneyconcepts Python library and includes an example engine that can download OKX crypto candle data and compute signals from it.

Great for

  • Traders or quant hobbyists who already use or want to study ICT-style price-action analysis
  • Developers building backtests or research prototypes around SMC signals
  • Students learning how institutional-style market structure concepts are coded

Skip it if

  • Making real trading decisions with money: the signals are a rule-based sketch with no evidence of profitability, and markets can lose money quickly
  • Users who expect investment advice: the skill gives no risk management, position sizing or performance validation
  • Environments where the agent may run the script on untrusted data or with live exchange credentials, since it executes Python and makes outbound web requests

Try asking

  • “Explain what a Change of Character and a Fair Value Gap mean, using the SMC method”
  • “Run the SMC signal engine on BTC-USDT daily candles and tell me whether the signal is long, short or stand aside”
  • “Backtest SMC signals with swing_length set to 5 and 20 and compare the results”
  • “Summarise how order blocks are defined in the reference notes”
Step-by-step guide: how to use Smart Money Concepts SignalsInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 4 original files, the MIT licence and an attribution note.

    smc.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip smc.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip smc.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Review example_signal_engine.py before running it, and treat the output as a research input rather than a trade instruction
  • Test parameters such as swing_length and close_break on historical data and check results out of sample before relying on them
  • Ask the agent to explain the reasoning behind each signal so you can check it against the reference notes

What's inside

  • example_signal_engine.py
  • references/结构突破.md
  • references/订单块与缺口.md
  • SKILL.md

Redistributed unmodified from HKUDS/Vibe-Trading under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.