orderflow-analysis
✓Skill for detecting institutional order flow patterns (absorption, exhaustion, imbalance, sweep) from L2 market depth and trade data.
Installation
SKILL.md
Detects institutional trading patterns from Level 2 market data and trade executions.
| ABSORPTION | Heavy volume absorbed without price movement | Fade the volume direction | | EXHAUSTION | Declining volume at S/R | Prepare for reversal | | IMBALANCE | 3:1+ buy/sell ratio | Follow imbalance direction | | SWEEP | Multiple levels cleared rapidly | Momentum follow |
Skill for detecting institutional order flow patterns (absorption, exhaustion, imbalance, sweep) from L2 market depth and trade data. Source: saanjaypatil78/trading-platform.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/saanjaypatil78/trading-platform --skill orderflow-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/saanjaypatil78/trading-platform --skill orderflow-analysis- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is orderflow-analysis?
Skill for detecting institutional order flow patterns (absorption, exhaustion, imbalance, sweep) from L2 market depth and trade data. Source: saanjaypatil78/trading-platform.
How do I install orderflow-analysis?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/saanjaypatil78/trading-platform --skill orderflow-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/saanjaypatil78/trading-platform
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01