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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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