Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qttk-0.1.0.tar.gz (14.3 MB view details)

Uploaded Source

File details

Details for the file qttk-0.1.0.tar.gz.

File metadata

  • Download URL: qttk-0.1.0.tar.gz
  • Upload date:
  • Size: 14.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.1.2.post20210110 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.7.9

File hashes

Hashes for qttk-0.1.0.tar.gz
Algorithm Hash digest
SHA256 2a30a74b4ed021789a7b3d40aa58c14183f81ccd20ce7b41db2762421d659f03
MD5 fdbb8459e639dda120e297905ce846da
BLAKE2b-256 d1205dc18ec9e701529b202590ed084db27db6206090d08f5f34f327cb5ee90d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page