Pemodelan
simulasi ini merupakan sistem investasi melalui platform  Equity CrowdFunding
  

 Model
ini mampu mengukur investasi yang dilakukan oleh investor dengan persentase kepemilikan
saham 51% dan 49% yang menghasilkan profit dengan nilai 0-10% dari modal yang
terkumpul dengan pengaruh pasar, p

Pemodelan simulasi ini merupakan sistem investasi melalui platform Equity CrowdFunding

Model ini mampu mengukur investasi yang dilakukan oleh investor dengan persentase kepemilikan saham 51% dan 49% yang menghasilkan profit dengan nilai 0-10% dari modal yang terkumpul dengan pengaruh pasar, pembagian dividen antara penerbit startup, investor dan equity crowdfunding tersebut hingga ketiga pelaku ekonomi dalam pemodelan sistem ini mendapatkan keuntungan.

Das Modell sensibilisiert für die langfristigen Folgen von Inflation und Besteuerung bei Kapitalanlagen
Das Modell sensibilisiert für die langfristigen Folgen von Inflation und Besteuerung bei Kapitalanlagen
This is a simple system dynamics model that forecasts sales and personnel required to meet our goals.
This is a simple system dynamics model that forecasts sales and personnel required to meet our goals.
Simple model used to assess the likely outcome of Revenue and Profit due to variability of purchase price, price impact on Units Sold, and Units Sold impact on Unit Cost.
Simple model used to assess the likely outcome of Revenue and Profit due to variability of purchase price, price impact on Units Sold, and Units Sold impact on Unit Cost.
Das Modell sensibilisiert für die langfristigen Folgen von Inflation und Besteuerung bei Kapitalanlagen
Das Modell sensibilisiert für die langfristigen Folgen von Inflation und Besteuerung bei Kapitalanlagen
Das Modell sensibilisiert für die langfristigen Folgen von Inflation und Besteuerung bei Kapitalanlagen
Das Modell sensibilisiert für die langfristigen Folgen von Inflation und Besteuerung bei Kapitalanlagen
 At the dawn of our century
financials markets collapsed in what is call “the burst of the internet
bubble”. There are many things which can explain this bursting and before that,
the emergence of the bubble. In this document we will try to show what this factors
are and how they are related each ot

At the dawn of our century financials markets collapsed in what is call “the burst of the internet bubble”. There are many things which can explain this bursting and before that, the emergence of the bubble. In this document we will try to show what this factors are and how they are related each other.

THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION  The existing global capitalistic growth paradigm is totally flawed  Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a compon
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

 At the dawn of our century
financials markets collapsed in what is call “the burst of the internet
bubble”. There are many things which can explain this bursting and before that,
the emergence of the bubble. In this document we will try to show what this factors
are and how they are related each ot

At the dawn of our century financials markets collapsed in what is call “the burst of the internet bubble”. There are many things which can explain this bursting and before that, the emergence of the bubble. In this document we will try to show what this factors are and how they are related each other.

  De Innovadores a Imitadores    New Product Adoption Dynamics  models how an innovation spreads through a population via two main drivers: 
 
 
  Innovator probability , which determines how many people adopt the product independently and autonomously. 
 
 
  Imitator conversion rate , which measur

De Innovadores a Imitadores

New Product Adoption Dynamics models how an innovation spreads through a population via two main drivers:

  • Innovator probability, which determines how many people adopt the product independently and autonomously.

  • Imitator conversion rate, which measures how many new adopters join due to social contact and word of mouth (WOM).

This approach helps us understand how the total flow of new adopters evolves over time.

📈 Applied example: In the adoption of renewable energy, early users (innovators) install solar panels out of conviction or future-oriented vision. Later, their visible results and testimonials create an imitation effect among neighbors, accelerating broader adoption. This model helps predict how much diffusion can be achieved through different promotional strategies or public policies.

Simple model used to assess the likely outcome of Revenue and Profit due to variability of purchase price, price impact on Units Sold, and Units Sold impact on Unit Cost.
Simple model used to assess the likely outcome of Revenue and Profit due to variability of purchase price, price impact on Units Sold, and Units Sold impact on Unit Cost.
Das Modell sensibilisiert für die langfristigen Folgen von Inflation und Besteuerung bei Kapitalanlagen
Das Modell sensibilisiert für die langfristigen Folgen von Inflation und Besteuerung bei Kapitalanlagen
Simulation of MTBF with controls   F(t) = 1 - e ^ -λt   Where    • F(t) is the probability of failure    • λ is the failure rate in 1/time unit (1/h, for example)   • t is the observed service life (h, for example)  The inverse curve is the trust time On the right the increase in failures brings its
Simulation of MTBF with controls

F(t) = 1 - e ^ -λt 
Where  
• F(t) is the probability of failure  
• λ is the failure rate in 1/time unit (1/h, for example) 
• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime, 
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life
If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life
The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.  

Wearout
The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period. 
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION  The existing global capitalistic growth paradigm is totally flawed  Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a compon
THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Model-SIM from chapter 3 of Wynn Godley and Marc Lavoie's  Monetary Economics.  Simplest model with government money that is also stock-flow consistent.
Model-SIM from chapter 3 of Wynn Godley and Marc Lavoie's Monetary Economics. Simplest model with government money that is also stock-flow consistent.
9 months ago
Em um prazo de 30 anos, comprar casa propria (300.000,00) para sair do aluguel (1.000) com depositos mensais (1000 )​ acrescidos a um valor inicial (80.000). Mas ao final do prazo, nao deve sobrar dinheiro
Em um prazo de 30 anos, comprar casa propria (300.000,00) para sair do aluguel (1.000) com depositos mensais (1000 )​ acrescidos a um valor inicial (80.000).
Mas ao final do prazo, nao deve sobrar dinheiro
Simulation compares Bitcoin cloud mining opportunity (hashflare.io) to HODL. The model does not calculate with mining difficulty, pool's efficiency and changes in fees. Using monthly cloud fees as of the end of November 2017.  Used https://www.coinwarz.com/calculators/bitcoin-mining-calculator for m
Simulation compares Bitcoin cloud mining opportunity (hashflare.io) to HODL.
The model does not calculate with mining difficulty, pool's efficiency and changes in fees. Using monthly cloud fees as of the end of November 2017.
Used https://www.coinwarz.com/calculators/bitcoin-mining-calculator for mining calculations.

9 months ago