Family of tools for testing and tracking investing strategies
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Updated
Sep 24, 2023 - Python
Family of tools for testing and tracking investing strategies
Python modules for backtesting trading strategies
University Project: constructing portfolios by blending different types of factor portfolios (low-beta, value, and momentum). We investigate different techniques to weight our portfolio and calculating a combined score.
An open source platform providing features for managing stock portfolio, trading strategy, back test, and risk assessment.
This module contains quantitative portfolio analysis equations, portfolio back-testing, and asset data organization/cleaning data structures.
A tool that loads order book depth historical data for back-testing. Loads 1 minute frequency depth data provided by Crypto Chassis project.
This project uses Stock-Price-Trade-Analyzer to back-test the performance of an investment strategy of picking only the top 9 performing stocks from the S&P 500 over a period of 35 years to answer the question "How well does past performance predict future returns?"
Technical analysis and back-testing in Python
Simple test of pair-trading investment strategy (2017)
Stock trading strategy back-tester
Python back testing system for trading strategies, based on backtrader and AkShare, customized for China market.
Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.
C++ interfaces used to communicate with Roq gateways.
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