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jankrepl avatar

jankrepl/deepdow

0
View on GitHub↗
1,112 stars·156 forks·Python·apache-2.0·8 viewsdeepdow.readthedocs.io↗

Deepdow

Features

  • Machine Learning Models - Deep learning framework for portfolio optimization.
  • Financial Analytics - Deep learning-based portfolio weight allocation.
  • Financial Analytics Tools - Library connecting portfolio optimization with deep learning.
  • Portfolio Management - Portfolio optimization using deep learning techniques.
  • Portfolio Optimization - Portfolio optimization using deep learning techniques.

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Frequently asked questions

What are the main features of jankrepl/deepdow?

The main features of jankrepl/deepdow are: Machine Learning Models, Financial Analytics, Financial Analytics Tools, Portfolio Management, Portfolio Optimization.

What are some open-source alternatives to jankrepl/deepdow?

Open-source alternatives to jankrepl/deepdow include: robertmartin8/pyportfolioopt — PyPortfolioOpt is a comprehensive portfolio optimization library for Python that provides a full suite of methods for… dcajasn/riskfolio-lib — Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for… quantopian/pyfolio — Portfolio and risk analytics in Python. ssantoshp/empyrial — An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎. domokane/financepy — A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including… dppalomar/riskparity.py — Fast and scalable construction of risk parity portfolios.