labtrade

A visual tool to support the development of strategies in Quantitative Finance.

Getting Started

PyQt5==5.15.6
PyQt5-sip==12.9.0
PyQt5-Qt5==5.15.2
pyqtgraph==0.11.0
pandas==1.1.5
numpy==1.19.5
sklearn==1.0.1

https://github.com/fab2112/labtrade.git

Support for develop strategies in Tecnhical analisys / Machine learning / Reinforcement learning
Future / Spot markets strategies
Strategy backtest
Analyse of performance / risk (Equity-curve / Drawndowns / Sharpe-Ratio / Sortino / Calmar)
Market emulation (stop-loss, stop-gain, maker-fee's)
Analyse of continue rates in real data
User-friendly visual for quantitative analysis

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for labtrade 1.0.0
File	Size	Uploaded
labtrade-1.0.0.tar.gz	9.3 kB	Jan 24, 2022	Details

Download URL	labtrade-1.0.0.tar.gz
Size	9.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`c95676dcc51ad279a9019458b3540f5bb6abef934bf1957455db839197fbbaff`
BLAKE2b-256 checksum How to use checksums	`8a68182342eae7e44c23113d6eb62d8ca6f93553a2e1d4aececbe190a4d340b7`
Upload date	Jan 24, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.7.1 importlib_metadata/4.6.4 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.8`

This release

1.0.0 This release