smc

Detect trend continuation, reversal, and fair value gap signals using smartmoneyconcepts.

Updated May 25, 2026

Search Tags:#technical analysis #trend analysis #smart money concepts #institutional trading #signal engine

Ready to run

npx skills add https://github.com/NigarumOvum/AutoTrading --skill smc-nigarumovum

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: smc
Source: https://github.com/NigarumOvum/AutoTrading/tree/main/Vibe-Trading/agent/src/skills/smc
Command: npx skills add https://github.com/NigarumOvum/AutoTrading --skill smc-nigarumovum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires smartmoneyconcepts, pandas, numpy, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The smc skill unit solves the problem of analyzing institutional trading behavior by providing signals for trend continuation, reversal, and target pricing.

Core Features & Use Cases

Trend Analysis: Identifies and confirms trend continuation or reversal signals based on Break of Structure (BOS) and Change of Character (ChoCH).
Fair Value Gap: Calculates Fair Value Gap (FVG) to target price refill levels.
Order Blocks: Identifies institutional order concentration zones for liquidity and stop-hunt targets.
Use Case: This skill can be integrated into a trading strategy to make informed decisions based on institutional capital behavior and technical analysis.

Quick Start

Activate the smc skill to receive trading signals for a specific asset pair.

Frequently Asked Questions about smc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I detect Smart Money Concepts signals for institutional trading analysis?▼

To detect Smart Money Concepts signals for institutional trading analysis, you can use this signal engine to identify trend continuation, reversal, and fair value gap signals for specified assets. It utilizes the smartmoneyconcepts library to process data and generate actionable trading outputs.

What is a Break of Structure and Change of Character in trend analysis?▼

Break of Structure (BOS) and Change of Character (ChoCH) are technical analysis patterns used to confirm trend continuation or reversal. This signal engine detects these structural market shifts to help identify institutional trading behavior and trend direction.

How do I calculate Fair Value Gap and identify order blocks for target pricing?▼

To calculate Fair Value Gap (FVG) and identify order blocks, the signal engine analyzes institutional order concentration zones. It targets price refill levels for FVG and highlights liquidity zones where stop-hunts are likely to occur.

Can I use pandas and numpy to perform technical analysis on specified asset pairs?▼

Yes, you can use pandas and numpy to perform technical analysis on specified asset pairs. The signal engine relies on these dependencies alongside the smartmoneyconcepts library to process asset data and deliver institutional trading signals.

Does this signal engine support fair value gap signal generation for trend reversals?▼

Yes, this signal engine supports fair value gap signal generation for trend reversals. It implements a comprehensive signal detection mechanism that identifies both trend continuation and reversal patterns based on institutional capital behavior.

What are the limitations of using smartmoneyconcepts for technical analysis?▼

When using smartmoneyconcepts for technical analysis, limitations include its strict dependency on specific data inputs and structural market patterns. It requires accurate asset pair data to effectively detect order blocks and fair value gaps without generating false signals.