There are 43 repositories under investment-analysis topic.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
A program for financial portfolio management, analysis and optimisation.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Python package designed for general financial and security returns analysis.
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
Displays corporate earnings and fundamentals in the easy to analyze format
Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.
A sentiment analyzer package for financial assets and securities utilizing GPT models.
R Shiny app to compare the relative performance of cryptos and equities.
SilverFir: Investment Report :evergreen_tree: Инвестиционный отчёт в гугл доках, куда можно добавить любой актив и скачивать цену автоматически
🤖 Predict the stock market with AI 用AI预测股票市场
Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.
Data repository of JSON files that are filed by US Senators on efdsearch.senate.gov where they must report their stock trades. This is the same data as on senatestockwatcher.com
Entropy Pooling in Python with a BSD 3-Clause license.
detecting regime of financial market
Fama-French models, idiosyncratic volatility, event study
An environment of open source services used for market analysis
openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or less frequent data.
Use bokeh as the backend, you will get richer plot effects for backtrader
Simplified tracking of your investments
Blue Blood Engine - quantitative trading strategies integration and indexing platform.
Chat interface for OpenBB based on a instruct finetuning of a LLM, similar to ChatGPT.
This is a repository for all the lab session in the "Investment Management with Python and Machine Learning Specialization" Offered By EDHEC Business School and Hosted by Coursera.
Buy token as soon as liquidity added (mempool monitor)
PyMQL5 is an API that makes the connection between Python3 and Metatrader5 through UDP socket. | O PyMQL5 é uma API que realiza a conexão entre Python3 e o Metatrader5 através de socket UDP.