Optimization-Python
analisis-numerico-computo-cientifico
| Optimization-Python | analisis-numerico-computo-cientifico | |
|---|---|---|
| 1 | 1 | |
| 221 | 44 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | over 1 year 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.
analisis-numerico-computo-cientifico
What are some alternatives?
market-making-backtest - algo trading backtesting on BitMEX
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.
portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.
docker-curriculum - :dolphin: A comprehensive tutorial on getting started with Docker!
cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."
DeepLearning - Contains all my works, references for deep learning
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
Optimus * 96 - Optimus is a mathematical programming library for Scala.
Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.
psi4numpy - Combining Psi4 and Numpy for education and development.
laser - The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers