An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
-
Updated
Feb 8, 2024 - Python
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
R Shiny app to compare the relative performance of cryptos and equities.
Algorithmic Trading project that examines the Fama-French 3-Factor Model and the Fama-French 5-Factor Model in predicting portfolio returns. The respective factors are used as features in a Machine Learning model and portfolio results are evaluated and compared.
analyze financial data using python: numpy, pandas, etc.
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
This is a shiny app that let's you create a simple portfolio data analysis report.
Performance attribution analysis, value investment, original investment ideas, alpha seeking
A full-stack web app to manage and display your cryptoportfolio
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
🚀 Portfolio: Co-Pilot, 💡 Investing: Idea Generation, 🚦Trade: Due Diligence
User oriented Portfolio optimization application with several configuring options. Back test included. (IBEX35; to be expanded)
Python-powered Excel Macro VBA workbook
An adapter that returns Morpheus DataFrames from Yahoo Finance
A C# add-in for Excel that contains functions for risk-adjusted portfolio performance analysis.
PDF Statement Data Extractor and Analyzer. A Python script for extracting and analyzing financial data from PDF statements, with a focus on Schwab statements.
Optimize your Investment Portfolio using MPT
NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)
PyPort is framework to efficiently and easily investigate portfolio strategies.
Add a description, image, and links to the portfolio-analysis topic page so that developers can more easily learn about it.
To associate your repository with the portfolio-analysis topic, visit your repo's landing page and select "manage topics."