Optimization-Python
notebooks
Optimization-Python | notebooks | |
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1 | 2 | |
221 | 0 | |
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0.0 | 7.9 | |
over 2 years ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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Optimization-Python
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What is the best DCA Strategy - Part IV (Dynamic DCA)
One approach to this problem is based on the Nobel prize winning Modern Portfolio Theory (MPT). In fact, there we can use pretty simple code available online: https://github.com/tirthajyoti/Optimization-Python/blob/master/Portfolio_optimization.ipynb. There is a one BIG difference between DCA and MPT though. Here, we do not want to do a one-time purchase and try to gain maximum profit. We are looking at a dual problem, where we want to purchase regularly, while aiming maximum accumulation.
notebooks
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Opvious - deploy optimization models with just a few lines of code
More interactive examples
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opvious.io - an API-first platform for deploying optimization models
If you are interested in trying it out, the best place to get started is the welcome guide which walks through an interactive end-to-end example (no account required). You can also browse all available interactive examples here or check out the Python SDK here.
What are some alternatives?
market-making-backtest - algo trading backtesting on BitMEX
sdk.py - Python optimization SDK
portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Optimus * 96 - Optimus is a mathematical programming library for Scala.
psi4numpy - Combining Psi4 and Numpy for education and development.
analisis-numerico-computo-cientifico - Análisis numĂ©rico y cĂłmputo cientĂfico
minizinc-python - Access to all MiniZinc functionality directly from Python