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qid-trading-strategy

Analyze Bookmap order flow patterns and score trading setups with a 13-factor system.

Updated Aug 27, 2026
Search Tags:#ai#investment#strategy#trading#algorithmic trading#bookmap#order flow
One-click install
npx skills add https://github.com/blevinson/qid --skill qid-trading-strategy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qid-trading-strategy
Source: https://github.com/blevinson/qid/tree/main/Strategies/src/main/resources/META-INF
Command: npx skills add https://github.com/blevinson/qid --skill qid-trading-strategy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates intelligent trading decisions by analyzing order flow patterns and leveraging historical data, moving beyond simple signal following to proactive, memory-based strategy execution.

Core Features & Use Cases

  • AI-Powered Trading: Integrates AI to analyze market data, detect complex order flow patterns (icebergs, spoofs, absorption), and score them based on multiple factors.
  • Memory-Based Decisions: Learns from past trades to make more informed decisions, optimizing entry, stop-loss, and take-profit levels.
  • Strategic Order Placement: Places orders intelligently (e.g., BUY STOP) rather than executing market orders, improving probability of success.
  • Use Case: A trader can use this Skill to automatically identify high-probability trading setups based on historical performance, execute trades with optimized parameters, and continuously refine the strategy based on real-time outcomes.

Quick Start

Use the qid-trading-strategy skill to analyze the current market conditions and identify potential trading opportunities.

Frequently Asked Questions about qid-trading-strategy

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

FAQPage Schema
How do I use order flow analysis to detect icebergs and spoofs in Bookmap?▼

Order flow analysis in Bookmap detects icebergs, spoofs, and absorption by visualizing real-time market data. This skill automates that detection, scoring complex patterns using a 13-factor system to identify high-probability trading setups.

Can AI help optimize my trading strategy by learning from historical performance?▼

Yes, AI can optimize trading strategy by using memory-based decision-making to learn from past trades. This skill analyzes historical performance data to continuously refine entry, stop-loss, and take-profit levels for future order placement.

What is the best way to automate strategic order placement instead of using market orders?▼

The best way to automate strategic order placement is by using AI to calculate optimal entry prices and execute conditional orders. This skill places intelligent orders like BUY STOP rather than market orders to improve trade success probability.

How does confluence scoring improve algorithmic trading decisions?▼

Confluence scoring improves algorithmic trading by evaluating multiple market factors simultaneously to validate a trade setup. This skill uses a 13-factor scoring system to assess order flow patterns, ensuring only high-confidence signals trigger execution.

Does this AI trading strategy work for analyzing absorption patterns in real-time?▼

Yes, this AI trading strategy works for real-time absorption analysis by continuously monitoring order flow data. It detects absorption patterns, scores them against historical outcomes, and adjusts strategic execution parameters automatically.

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