analisis-numerico-computo-cientifico
Optimization-Python
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analisis-numerico-computo-cientifico
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.
What are some alternatives?
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.
market-making-backtest - algo trading backtesting on BitMEX
docker-curriculum - :dolphin: A comprehensive tutorial on getting started with Docker!
portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.
DeepLearning - Contains all my works, references for deep learning
cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."
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.
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.
Optimus * 96 - Optimus is a mathematical programming library for Scala.
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
psi4numpy - Combining Psi4 and Numpy for education and development.