Quantitative Trading Toolkit
Project description
qttk
[qttk] Quantitative Trading ToolKit - Quant trading library developed by Conlan Scientific Open-Source Research Cohort
Requirements:
- python >= 3.7
- numpy, pandas, matplotlib
- checkout setup.md for conda environment setup
Philosophy
- Transparent and open source
- Well documented - function signatures use type hints
- Performance tested
Getting Started with QTTK
# Indicators module contains core qttk functionality
from qttk.indicators import compute_rsi
# qttk is 'batteries included' with simulated data
from qttk.utils.sample_data import load_sample_data
# Load a ticker from csv into dataframe
df = load_sample_data('AWU')
print(df.head())
rsi = compute_rsi(df)
print(rsi[-10:])
Next Steps:
- Checkout examples/ for cool qttk demos
- Feel free to create a bug or feature request ticket: qttk issue tracker
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