Mognelsik AI powered analytics platform showing data overview for crypto investments

Risk-aware AI analysis that helps you understand crypto before investing

Mognelsik analyzes real-time market data and adapts recommendations to your own risk level, so you can start learning without risking money you can't afford to lose.

Built for students in Sweden Data is handled according to GDPR No trading without your approval

The threshold into crypto

Most students do not give up because they lack interest, but because the risk feels unclear

The crypto market moves fast, and it's hard to know which signals actually mean something. Mognelsik is built to lower that threshold by making analysis comprehensible, customizable and visible at every step.

  • 1Adaptive analysis that is updated in step with new market data, not once a day.
  • 2Recommendations weighted according to your stated level of risk, not a one-size-fits-all model.
  • 3Clear justification for each suggestion, so you understand why - not just what.

The process

From raw data to a proposal adapted to you

Each recommendation goes through three steps. It makes the process traceable, and it's easier to understand why the platform suggests what it does.

1

Data collection

The platform collects price data, trading volumes and market signals from multiple sources in real-time, and structures them so that the model can compare patterns over time.

2

Risk profiling

You answer questions about your financial situation and how much fluctuation you are comfortable with. The model uses this to adjust which suggestions are shown to you.

3

Decision support

You will receive a concrete proposal with justification and risk assessment. You choose whether and how you act - the platform does not carry out any trades for you without your active approval.

Concrete benefit

Built for a student budget and a learning phase, not for frequent day trading

The benefits are less about quick wins and more about giving you a better basis for making decisions before you deposit money.

Real time

Analysis that follows the market

The data is updated continuously throughout the day, so the suggestions reflect current conditions rather than yesterday's closing price.

Risk management

Limits you set yourself

You indicate how much of your buffer you are willing to expose. The model stays within that framework when it produces proposals.

Learning

Justification for each proposal

Each recommendation is followed by a brief explanation of which factors have been weighed, making it easier to build your own understanding over time.

Transparency

How the model is trained and validated

We'd rather explain the process behind the platform than show numbers without context. This is how we work with the model that forms the basis of the recommendations.

Training data and update

The model is trained on historical market data and continuously tested against new, unseen periods to see how it had performed before being used sharply.

Validation against real volatility

Before deploying an updated model, its suggestions are compared against actual market movements, to avoid relying on patterns that only worked in retrospect.

Data security

Your risk details and account information are stored encrypted and are never shared with third parties for marketing purposes. You can request that your data be deleted at any time.

Read frequently asked questions about the method →

Start with a risk profile, not a deposit

The first step in Mognelsik is to set your risk profile. It takes a couple of minutes, costs nothing and gives you an idea of ​​what the platform's proposal would look like for your particular situation.