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.

R Shiny app to compare the relative performance of cryptos and equities.

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders

analyze financial data using python: numpy, pandas, etc.

This is a shiny app that let's you create a simple portfolio data analysis report.

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.

Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods

NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)

Performance attribution analysis, value investment, original investment ideas, alpha seeking

PyPort is framework to efficiently and easily investigate portfolio strategies.

A full-stack web app to manage and display your cryptoportfolio

An adapter that returns Morpheus DataFrames from Yahoo Finance

R package: monotonicity

Backtesting my current US stocks portfolio

Open-source portfolio analysis tools for DIY investors and finance enthusiasts.

User oriented Portfolio optimization application with several configuring options. Back test included. (IBEX35; to be expanded)

This repository is a personal project used to analyze individual company returns in the stock market compared to a hypothetical investment in a benchmark over equal holding periods

Optimize your Investment Portfolio using MPT