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carreypro/ict-trading-model

ICT and SMC market-structure validation skill with deterministic OHLCV scanning

Python ◇ agent-skill MIT
★113STARS
⑂2FORKS
!0ISSUES
🏆#15,093GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,943

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

ict-trading-model gained 10 stars in the last 30 days, about 1 a day, and now has 113. It is about 1 year old and has averaged roughly 113 stars a year. It ranks #1,943 among Python repositories and #15,093 across all languages on GitHubRepo.

Trending Record

ict-trading-model has maintained a continuous presence across global trending indexes, peaking at #14016. Below is the 30-day activity profile:

💡 Overview

ict-trading-model is an open-source project written in Python: ICT and SMC market-structure validation skill with deterministic OHLCV scanning.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skill, ict, smc. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install ict-trading-model

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ict-trading-model coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with ict-trading-model.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install ict-trading-model using your package manager: `pip install ict-trading-model`

2

Initialize your project workspace or configuration file for ict-trading-model.

3

Import ict-trading-model into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `ict-trading-model --help` to verify successful setup.

👍 Strengths

Active community backing with 113 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

carreypro/ict-trading-model is currently ranked #15,093 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#15,031 fatihaydost/brand-identity-skill Python ★ 114 Compare ↗
#15,093 carreypro/ict-trading-model This Project Python ★ 113
#15,093 robmckinnon/rugalytics Ruby ★ 113 Compare ↗
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Frequently Asked Questions

What does ict-trading-model do? +

ICT and SMC market-structure validation skill with deterministic OHLCV scanning

What language is ict-trading-model written in? +

The primary language is Python. Topics include: agent-skill, ict, smc, technical-analysis, trading.

Is ict-trading-model actively maintained? +

Yes, the last recorded push was on Oct 10, 2026 with 0 open issues being tracked.

How many stars does ict-trading-model have? +

ict-trading-model has 113 stars and 2 forks on GitHub.

How does ict-trading-model rank among GitHub repositories? +

With 113 stars, carreypro/ict-trading-model is ranked #15,093 globally across all repositories tracked on GitHubRepo and #1,943 among Python projects.

What license is ict-trading-model distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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