smartmoneyconcepts 0.0.14

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
• Swing Tops and Bottoms
• BOS and CHoCH
• OB - Order Block
• VOB - Volumized Order Blocks
• Liquidity

Examples

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

    smc.fvg(ohlc) # Fair Value Gap
    smc.highs_lows(ohlc) # Highs and Lows
    smc.swing_tops_bottoms(ohlc, swing_length=10) # Swing Tops and Bottoms
    smc.bos_choch(ohlc, close_break=True, filter_liquidity=False) # Detect BOS and CHoCH
    smc.ob(ohlc) # Order Block
    smc.vob(ohlc) # Volumized Order Blocks
    smc.liquidity(ohlc) # Liquidity

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.