Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
#计算机科学#MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
#计算机科学#A list of online resources for quantitative modeling, trading, portfolio management
#计算机科学#Quantitative analysis, strategies and backtests
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
#区块链#Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
The Open-Source Backtesting Engine/ Trading Simulator by Bertram Enterprises.
An open source library for portfolio optimisation
Applying Reinforcement Learning in Quantitative Trading
Solana DeFi Bot, a cutting-edge solution for automated trading on Solana. Leveraging arbitrage, pool sniping, and staking, it delivers a 98% win rate, 80% APY, and 260% ROI (past month). Built with No...
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
#大语言模型#AI-Hedge-Fund for Crypto 🚀 AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intelligent decision-making.
Implement AI Trading Strategies with Backtrader
#计算机科学#PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
#计算机科学#CSCI 599 deep learning and its applications final project
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
Options and Option Strategies analytics for educational purpose using the Black-Scholes Model