smartmoneyconcepts 0.0.6

Getting indicators based on smart money concepts or ICT

Smart Money Concepts (smc) BETA

The Smart Money Concepts Python Indicator is a sophisticated financial tool developed for traders and investors to gain insights into market sentiment, trends, and potential reversals. This indicator is built using Python, a versatile programming language known for its data analysis and visualization capabilities.

Installation

pip install smartmoneyconcepts

Usage

from smartmoneyconcepts import smc

Prepare data to use with smc:

smc expects properly formated ohlc DataFrame, with column names in lowercase: ["open", "high", "low", "close"] and ["volume"] for indicators that expect ohlcv input.

Indicators

FVG - Fair Value Gap Highs and Lows BOS/CHoCH - Break of Structure / Change of Character OB - Order Block Liquidity

Examples

Please take a look at smc.test.py for more detailed examples on how each indicator works.

    smc.fvg(ohlc)
    smc.highs_lows(ohlc, window=5)
    smc.bos_choch(ohlc, window=5, range_percent=0.01)
    smc.ob(ohlc)
    smc.liquidity(ohlc, range_percent=0.01)

Contributing

This project is still in BETA so please feel free to contribute to the project. By creating your own indicators or improving the existing ones.

1. Fork it (https://github.com/joshyattridge/smartmoneyconcepts/fork).
2. Study how it's implemented.
3. Create your feature branch (git checkout -b my-new-feature).
4. Run black code formatter on the finta.py to ensure uniform code style.
5. Commit your changes (git commit -am 'Add some feature').
6. Push to the branch (git push origin my-new-feature).
7. Create a new Pull Request.