carreypro/ict-trading-model

选用指南

AI 根据 README 整理 · 2026/10/17 06:26:08

使用方式

通过Codex调用技能，支持图表截图、实时市场分析和OHLCV文件分析。

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npx skills add https://github.com/carreypro/ict-trading-model --skill ict-trading-model ``` Invoke it explicitly in Codex: ```text Use $ict-trading-model to analyze this chart. ``` It may also activate automatically when a request refers to ICT, SMC, liquidity sweeps, FVGs, order blocks, breakers, OTE, MSS, or BOS. ## Quick Start ### Review a chart screenshot ```text Use $ict-trading-model to review this chart. Reconstruct the setup in chronological order and identify: - higher-timeframe bias; - BSL and SSL; - liquidity sweeps; - displacement and strict FVGs; - MSS or BOS;

- valid order blocks or breakers; - entry conditions, invalidation, and targets; - valid opportunities and false signals. ``` A screenshot supports visual analysis only. Any price level, candle boundary, or timestamp that cannot be read reliably must be marked `unverified`. ### Analyze a live market ```text Use $ict-trading-model to analyze BTC-USDT-SWAP. Bias timeframe: 4H Structure timeframe: 15m Execution timeframe: 5m Return one status: confirmed, developing, invalidated, or no-trade. List the evidence for every required condition. Do not execute a trade. ```

- Did the proposed order block cause displacement and the structure break? - Is the entry still available, or has price already moved too far? ``` The skill challenges the thesis against the evidence instead of forcing the chart to match it. ### Analyze an OHLCV file ```text Use $ict-trading-model to analyze: /absolute/path/to/candles.json Scan both bullish and bearish structures and report the most recent candidates. ``` ## Analysis Workflow The skill follows the same nine-stage process for chart reviews, live markets, and historical OHLCV data. ### 1. Confirm the data context

部署要求

需要安装Codex和Python 3以运行扫描器。

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npx skills add https://github.com/carreypro/ict-trading-model --skill ict-trading-model ``` Invoke it explicitly in Codex: ```text Use $ict-trading-model to analyze this chart. ``` It may also activate automatically when a request refers to ICT, SMC, liquidity sweeps, FVGs, order blocks, breakers, OTE, MSS, or BOS. ## Quick Start ### Review a chart screenshot ```text Use $ict-trading-model to review this chart. Reconstruct the setup in chronological order and identify: - higher-timeframe bias; - BSL and SSL; - liquidity sweeps; - displacement and strict FVGs; - MSS or BOS;

- Wait for price to retrace into a premium-side FVG or valid order block. Invalidation: - Price closes back above the sweep high. Conclusion: the setup is not confirmed, and an early short is not justified. ``` The central rule is simple: missing evidence produces `developing` or `no-trade`, never an invented confirmation. ## Deterministic OHLCV Scanner The included scanner provides repeatable mechanical detection for candle data: ```bash python3 scripts/ict_scan.py \ --input /absolute/path/to/candles.json \ --direction auto \ --swing-width 2 \ --minimum-rr 2 ``` It detects:

已知限制

技能仅提供分析和计划，不执行交易；扫描器不包含费用、点差等成本；项目仅用于教育和研究，不构成财务建议。

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Its core advantage is evidence-gated planning: an FVG, order block, or opposing candle cannot create a trade signal by itself. The complete sequence must be evaluated: ```text Higher-timeframe bias → Liquidity objective → Premium / discount location → Liquidity sweep → Displacement and strict FVG → Close-confirmed MSS or BOS → Retracement into OB / FVG / Breaker / OTE → Invalidation and target → Risk-to-reward validation ``` The skill produces analysis and conditional trade plans only. It never executes orders. ## What It Delivers | Capability | Output | | --- | --- |

├── agents/openai.yaml # Agent metadata ├── references/ict-model.md # ICT/SMC definitions and validation rules ├── references/output-contract.md # Required analysis output format ├── scripts/ict_scan.py # Deterministic OHLCV scanner └── tests/test_ict_scan.py # Scanner test suite ``` ## Limitations and Risk Notice - ICT/SMC labels are a price-action framework, not direct proof of institutional activity. - A screenshot cannot replace complete OHLCV data. - The scanner reports gross reward to risk and does not include fees, spread, slippage, or funding.

- Inverse contracts, options, and non-linear instruments require instrument-specific sizing and risk calculations. - Market structure is probabilistic. A technically valid setup can still fail. - This project is for education and research and is not financial advice. ## Development and Testing Run the test suite and syntax check from the repository root: ```bash python3 -m unittest discover -s tests -v python3 -m py_compile scripts/ict_scan.py ``` ## License Released under the [MIT License](LICENSE).