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 details)
File details
Details for the file labtrade-1.0.0.tar.gz.
File metadata
- Download URL: labtrade-1.0.0.tar.gz
- Upload date:
- Size: 9.3 kB
- Tags: Source
- Uploaded using 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c95676dcc51ad279a9019458b3540f5bb6abef934bf1957455db839197fbbaff
|
|
| MD5 |
74d1544c5bcecc2fc13c13eb55188c29
|
|
| BLAKE2b-256 |
8a68182342eae7e44c23113d6eb62d8ca6f93553a2e1d4aececbe190a4d340b7
|
