ta-dict 0.0.1

A fast, dependency-free technical analysis library using Python nested dictionaries.

TA-dict

TA-dict is a lightweight and fast technical analysis library written in pure Python. It is designed for speed and simplicity, working directly with nested dictionaries — no pandas, no numpy, and no C-based dependencies.

🔍 Why TA-dict?

Most technical analysis libraries in Python are built on top of heavy libraries like pandas or use C extensions to boost performance. TA-dict takes a different approach:

• 🚀 Pure Python only – no external or C-based dependencies
• 🧠 Uses standard nested dict structures
• 📈 Designed for speed and minimal memory usage
• 🧩 Easily extensible for new indicators

📊 Input Data Format

TA-dict functions operate on data structured as nested dictionaries. For example, a candle dataset should look like this:

data = {
    1: {'date': '2025/06/20', 'Open': 1.0001, 'High': 1.0003, 'Low': 1.0000, 'Close': 1.0002, 'Volume': 1000},
    2: {'date': '2025/06/21', 'Open': 1.0002, 'High': 1.0004, 'Low': 1.0001, 'Close': 1.0003, 'Volume': 1500},
    # ...
}


Change Log
==========

0.0.1 (20/05/2025)
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- First Release