A visual tool to support the development of strategies in Quantitative Finance.
Project description
labtrade
A visual tool to support the development of strategies in Quantitative Finance.
Getting Started
Requirements
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
Installation
https://github.com/fab2112/labtrade.git
Features
- 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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
labtrade-1.0.0.tar.gz
(9.3 kB
view hashes)
