๐ Intro
In this post, I will start creating resources in Azure using Pulumi. The full process is quite complex, so I will try to break it down into smaller parts and raise the key points here during my implementation.
Zhicheng's Blog
A Chronicles of a Self-taught Programmer: Learn to Debug Life
Welcome to my blog! This blog chronicles my personal exploration into the worlds of coding and life itself. Here, I share the things I encounter while learning to program. Think of it as me trying to debug life while getting better at debugging code. Fueled by my own insatiable curiosity (and ChatGPT's endless patience), bolstered by my humble attitude of learning (with millions of searches on Google), I'm pretty confident this debugging process will be wrapped up by the end of this century. โ๏ธ: zcmmwang@gmail.com
In this post, I will start creating resources in Azure using Pulumi. The full process is quite complex, so I will try to break it down into smaller parts and raise the key points here during my implementation.
In the last post, I discussed some points of setting up Azure for Inomadโs infrastructure. In this post, I will be creating a Pulumi project and discuss some interesting points about the initial setup and considerations.
This post is the beginning of the implementation phase for Inomadโs infrastructure on Azure. As the usual like other posts in Inomad series, I will just highlight the key points Iโve encountered instead of making the series an instruction of โHow toโ. This post will cover the initial steps and considerations for deploying Inomadโs infrastructure on Azure.
This post will conduct the final section of the weighted score calculation for an individual stock, which is the Final Score. The actual final score in this case does not matter since all the data is searched and represented by ChatGPT, of which the accuracy is not guaranteed. I will provide the considerations and next steps instead to further guide the investment decision-making process.
This post will conduct the final section of the weighted score calculation for an individual stock, which is the Risks section. The key metrics, weights, and final scores are detailed below.
This post is the caculation of Valuation score for the weighted score calculation of an individual stock. This is a very straightforward calculation as itโs all data based similar to Financial Performance section. The key metrics, weights and final scores are in the content below.
In the this post, I will continue the calculation of the weighted scores for three Competitive Position, Industry Trends and Management/Governance. Following the same quantifying process of the previous post on Business Model and Diversification Analysis, here I will just list the key metrics, weights and final scores.
This post is a part of the series on Weighted Score Calculation for individual stock analysis. We will continue the calculation of th weighted scores for Business Model and Diversification Analysis.
Following last one in the series, to avoid having a way too long blog, I will break down the calculation of the weighted score for each section in this separated post. Letโs start with โFinancial Performance Analysisโ.
In this post, Iโll continue to explore the ChatGPTโs capability to introduce the concept of factor and weight in stock investment using the previous analysis report as an example.