An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.
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.
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
Open-source portfolio analysis tools for DIY investors and finance enthusiasts.
analyze financial data using python: numpy, pandas, etc.
Performance attribution analysis, value investment, original investment ideas, alpha seeking
🚀 Portfolio: Co-Pilot, 💡 Investing: Idea Generation, 🚦Trade: Due Diligence
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
Shiny app to create a simple portfolio data analysis report.
NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)
A full-stack web app to manage and display your cryptoportfolio
PDF Statement Data Extractor and Analyzer. A Python script for extracting and analyzing financial data from PDF statements, with a focus on Schwab statements.
Self-hosted personal finance analytics dashboard and account aggregator.
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
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