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The Moonindex is a unique multifactorial and self-adjusting indicator. Multifactorial meaning it takes several market factors and data into account. Self-adjusting means it updates and improves itself daily as new data becomes available. Ever since The Moonindex was deployed, it’s been living its own life, improving its accuracy and confidence-level. The algorithm applies data analysis, statistical modelling, automation, and other techniques to all the different factors to compute a risk level. 

It is important to note that, while the algorithm improves it’s accuracy with new data every day, the historical risk levels display the risk levels shown on our live risk meter on that specific day. It is not a retrofitted or predictive model. Rather, it classifies the current price on a daily basis.

Naturally, the exact ingredients of The Moonindex will remain our very own secret recipe, which until now has been reserved only for ourselves.

We perform extensive testing on all our metrics and indicators before publishing.  In order to ensure that the metrics are effective, we created a testing environment we call Proof of Profit (PoP).  PoP consist of a series of steps our metrics and indicators go through before publishing. This involves comparing different combinations of data sets, backtesting, stress-testing, and more.  As a member you get access to a detailed and interactive chart of how The Moondindex has performed historically.

No. The Moonindex does not predict what will happen in the future, as history has proven that predicting market movements is not productive. Instead, the uniqueness of The Moonindex lies in its ability to tell you what is happening right now.  The Moondindex asses the current market risk with high precision. This means that whenever the market is overheated, or a major top is occurring, The Moonindex will tell you. This gives you more than enough time to calmy exit the market and take profits. This same principle also applies to major bottoms. 

Using The Moonindex is very straightfoward and intuitive. You can follow pre-constructed strategies available in the member dashboard, or create your own strategy which is suited to your personal risk tolerance and goals. 


We are a team of two academics with a background in economics and computer science at the Universities of Trondheim and Basel. We have a common background in Investing and quantitative analysis. In addition to our academic background, we have previous experience in web development and programming. Read more about us here.

In 2020 we separately began our search for effective risk metrics and indicators. We were looking for something that was taking a multitude of factors into account, and that wasn’t subject to interpretation and biases. The search did not yield any productive results.

During 2021 we had both ended up constructing our own risk metrics, independent of each other. Through fate and a stroke of luck, internet brought us together. We were very active in various forums trying to improve our metrics and bring them to the next level. 
We quickly saw the potential in our common goal, and decided to team up. After months of programming, testing, and developing, we finally had the metric we had been looking for since 2020 – The Moonindex


Simply visit your user dashboard, select membership and click on “change membership”.

Yes we do. Please contact us if you wish to pay using cryptocurrency.


Yes. We will  be applying the principles of The Moonindex to other coins. Eventually we will introduce other assets classes such as stocks and equities. Become a member in order to lock in a lower monthly price and get all future metrics, coins, and assets without ever paying an extra cent on top.

We are heavily invested to make sure our metrics live up to the highest standards. We are already experimenting with components for the next metric, but this is a resource intensive process and we are not in a rush. Quality ensuring and optimisation is a top priority. Whenever the next metric is on it’s way, you will see it announced in your member dashboard. 


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