Analyzing basic data from these 2 companies I did these 2 pictures that enable me to understand a little bit better their behavior. The key is to me the long term debt, where the acquisition of Timer Warner by AT&T is making the fundamentals to be eroded.
En este podcast de Value Investing FM escuché este programa que habla de 10
https://www.ivoox.com/58-los-10-mandamientos-gestion-de-audios-mp3_rf_32416204_1.html
I found some hours to dedicate to create my first Lambda function on AWS. I read a lot about it, but I had not opportunity to practice.
I followed the easy way, which means I did the use case proposed by AWS:
https://docs.aws.amazon.com/lambda/latest/dg/getting-started-create-function.html
This site is an awesome place with updated information about US stocks and other values. I love the excel files that enable you to seek into data.
I love this type of visual charts that represent the numbers in a different way. This one from the analysis point of view is not useful, at least to me, but it’s a nice perspective to see how it goes.
https://www.finviz.com/map.ashx
Today, we have almost all green:
I found this web that publishes different data related to the oil production and their derivates.
You can download the data and prepare more detailed reports, or you can use the graph chart available to draw simple charts.
This couple of videos helped me to understand how agility can be implemented into complex software development environments.
A lot of agility knowledge shared in these videos, and so many topics related to SAFe,
In video #2 there is an explanation about how to lead with chaos and bureaucracy that is really interesting (starts in minute 9:00), and it is represented by this picture:
Time to learn, time to read, now working on a deal where the customer is implementing their own version of SAFe.
There are a lot of documentation and intelligence on all of this, very interesting time learning about it.
Something I do not like is that is a closed community, I understand that organizations need ways to finance themselves, but to impose a training payment is a stopper for the expansion of these practices.
I was yesterday night navigating onto the different charts and data that are available in this web: https://tradingeconomics.com
The purpose is to define a set of macro indicators that enable me to contrast macro trends into a sector, so I can advance in general terms the trend of the sector or identify a divergence.
For instance, the manufacturing sector has a lot of dependency on:
Here I can check all this. The difficulty is going to define the right indicators to check, and simplify the amount of data to be reviewed.
Esta es una pregunta que muchos en España nos hacemos con el incremento progresivo de la tarifa de la luz.
Han surgido mucha competencia con los cambios legislativos y esta solución es muy interesante para responder la pregunta y para entender las variables que influyen en el precio final de la factura.
El Tarificanator, la solución para saber qué tarifa de la luz es mejor para tu casa: PVPC o mercado libre
Este artículo, que merece varias lecturas para entender bien los detalles, contiene un enlace a una excel que ayuda a realizar el ejercicio y que ayuda a entender las variables que influyen.
Gracias a la consultora Ingebau por su publicación.