{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Computes technical indicators for financial market analysis based on Inner Circle Trader (ICT) concepts, including fair value gaps, swing highs/lows, order blocks, liquidity levels, and market structure breaks from OHLC price data.","skillfed_tags":["trading-indicators","technical-analysis","market-structure"],"use_cases":["Identify fair value gaps in price action to locate potential support/resistance zones for entry or exit planning.","Detect swing highs and lows to map market structure and determine trend direction.","Find order blocks where large volumes congregated to anticipate potential price reversals or continuations.","Locate liquidity clusters at swing points to identify where stop-losses or limit orders may be swept.","Analyze break of structure and change of character to confirm shifts in market direction.","Calculate retracement percentages from swing points to project support and resistance levels."],"what_it_does":"Smart Money Concepts is a Python library that implements technical indicators inspired by Inner Circle Trader (ICT) methodology for analyzing financial market data. It takes OHLC (open, high, low, close) price data as pandas DataFrames and computes indicators like fair value gaps, swing highs and lows, order blocks, liquidity zones, break of structure, and change of character\u2014concepts used by traders to identify market structure, potential reversals, and order flow imbalances.\n\nThe library depends on pandas, numpy, and numba for efficient numerical computation on price arrays. It is actively maintained and has moderate adoption (113710 monthly downloads), though it is classified as Development Status 1 - Planning, indicating early-stage code. The package includes a disclaimer that it is for educational purposes only and should not be used as a sole decision-maker for trades.","worth_installing":"Yes, with conditions. Install if you are building a trading analysis tool and want ICT-based indicators on OHLC data. The low install friction and active maintenance are positive signals. However, the unclear license status requires verification before commercial use, and the Development Status 1 - Planning classifier suggests the code is early-stage\u2014test thoroughly and do not rely on it as your sole trading signal. The disclaimer explicitly warns against using it as a sole decision-maker."},"id":"smartmoneyconcepts","links":{"html":"https://skillfed.io/packages/smartmoneyconcepts","md":"https://skillfed.io/packages/smartmoneyconcepts.md","pypi":"https://pypi.org/project/smartmoneyconcepts/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-03","license_spdx":null,"license_treatment":"unclear","name":"smartmoneyconcepts","python_support":"unspecified","summary":"Getting indicators based on smart money concepts or ICT"},"popularity":{"monthly_downloads":113710,"position":12334,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.27"}