Lönsandör – visualization of real-time data from financial markets
Real-time analysis · 500+ trading pairs

Market data interpreted and structured, before you need to make a decision

Lönsandör collects price data from over 500 trading pairs and processes it continuously with AI models that flag risk, trend and deviations. You get a structured background instead of a screen full of numbers.

Explore the analysis This is how the methodology works
500+
Watched trading pairs
Continuous
Data review during the trading day
4
Asset types covered
Per asset
Individual risk score
Scope

The scope of the analysis in numbers

The scale of the dataset is what makes it possible to identify patterns that are difficult to see manually. Below is a description of how the monitoring is structured.

500+
Trading pairs under continuous monitoring
4
Asset Types: Stocks, Cryptocurrencies, Currencies and Commodities
24/5–24/7
Surveillance adapted to each market's opening hours
1 point
Summary risk indicator per asset

Update frequency

The data flow is continuously updated during the respective market's active trading hours. Crypto markets are monitored around the clock, while stock and currency markets follow their regular business hours.

Surveillance active during the market's opening hours

Markets covered

The basis is divided into four main categories to make comparisons between asset classes easier.

  • Nordic and international shares
  • Cryptocurrencies
  • Currency pairs (FX)
  • Commodities and indices
Explanation

How AI models reduce, but do not eliminate, risk

The aim is to make the basis of the decision comprehensible, not to make it infallible. The logic behind the analysis is explained here.

Lönsandör – schematic view of data flow and analysis process

What the models actually do

The models compare current price movement, volume and volatility against historical patterns for the same asset and similar assets. The result is not a guess about the future, but a probability assessment based on how similar situations have developed in the past.

  • Each asset receives a risk score that is updated as new data comes in.
  • Deviations in volume or price are compared against the asset's normal movement pattern.
  • Recommendations are always weighted against the risk level you have entered yourself.
Transparency in practice: each recommendation can be broken down to the underlying data points that influenced the assessment, so you can see why a certain conclusion was reached.
Functions

Features in detail

Below are described the functions that form the core of the analysis, organized in tabular form for quick overview.

Function What it does Why it matters
Predictive trend analysis Identifies patterns in historical and current price data over multiple time ranges. Provides an early, probability-based indication of changing market direction.
Risk score per asset Calculates an indicator based on volatility, liquidity and trading volume. Makes it easier to compare the level of risk between different assets before decisions are made.
Portfolio optimization Suggests weighting between assets based on specified risk tolerance and time horizon. Reduces concentration risk without you having to manually recalculate shares.
Deviation alarm Flags unusual movements in volume or price compared to the asset's normal pattern. Allows you to react to a shift before it becomes widely visible in the news feed.
Historical comparison Sets the current market situation against previous similar developments in the same asset class. Gives context to whether a movement is unusual or part of a recurring pattern.

About the accuracy of forecasts

The outcome of the models is continuously evaluated against the actual market outcome. Deviations between forecast and outcome are used to adjust the weights before the next analysis cycle, so that the model is gradually adapted to prevailing market conditions.

About the portfolio optimization

The tool always starts from the risk level you specify yourself and suggests a weighting accordingly. It does not replace your own decision-making, but serves as a structured basis for it.

Methodology

From raw data to recommendation

The entire chain is divided into three steps, so that it is always possible to see where in the process a certain conclusion comes from.

1

Data collection

Price data, volume and order depth are continuously retrieved from all 500+ monitored trading pairs and normalized to a common format regardless of asset type.

2

AI processing

The models compare incoming data against historical patterns, calculate risk scores and identify deviations that stand out from the asset's normal behavior.

3

Decision basis

The result is presented as a structured recommendation with justification, risk score and the data points that underlie the conclusion.

Frequently asked questions

Risk, support and data security

The questions that most often come up among investors who are new to data-driven analysis.

Does AI-driven analysis mean that the risk disappears?

No. The analysis is designed to reduce the risk of poorly informed decisions, not to eliminate market risk. Each recommendation is based on probabilities based on historical patterns, meaning the outcome is never guaranteed.

How often is the basis behind a recommendation updated?

The basis is continuously updated during the respective market's active trading hours. Crypto markets are monitored around the clock, while stock and currency markets follow their regular business hours.

Do I need previous experience in financial markets to use the platform?

No. The platform is built to explain the reasoning behind each recommendation in a structured form, so you can follow the logic even without prior trading experience.

What kind of support is available?

Support is handled via the contact form on our contact page, where questions regarding the account, functions and interpretation of documents are answered. Response times are stated in connection with contact.

How is my data managed and protected?

Account details and analysis settings are stored separately from market data and handled according to current data protection legislation. More information can be found in our privacy policy.

The next step

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Create an account to see how a current market situation is broken down into risk scores, trend indicators and a structured decision basis.

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