Real-time analysis of more than 500 market pairs in one view
Tiliämos combines predictive modeling and continuous data analysis to make investment decisions based on calculated probability rather than time use. The platform is built for side income seekers who do not have the opportunity to monitor the market daily.
An example of an analysis view
Illustrative view, not real-time feed.
Market size in numbers
The system processes large amounts of data continuously, which enables an extensive market overview for an investor who does not have time to monitor dozens of items individually.
Analyzed market pairs simultaneously
Automatic monitoring around the clock
Asset class in one unified view
Uniform risk scoring for all instruments
Broad coverage doesn't replace judgement, but it does reduce blind spots: when a single sector slows down, other asset classes remain visible in the same view.
How predictive modeling works in practice
The models combine price history, volatility measures and correlations between markets into a single probability-weighted signal. A signal is not a recommendation to always act, but an estimate of how likely the observed pattern is to repeat itself in the short term.
Risk management is built into the process: a confidence level is associated with each signal, and low confidence situations are marked separately so that the user can see the uncertainty before making a decision.
- Multivariate models combine price data, volatility and correlations between markets
- Each signal contains a confidence level that describes the certainty of the model
- The risk management module limits the size of the position in relation to the estimated uncertainty
- The data archive working in the background enables continuous validation of the models
From data to investment decision — four steps
The process is structured so that the user does not have to manually go through hundreds of market pairs. The automation takes care of the qualification, the user makes the final decision.
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01 — Data collection
Continuous feed
The platform collects price, volume and volatility data from more than 500 pairs simultaneously.
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02 — Modeling
Signal calculation
The predictive model calculates a probability-weighted signal and risk category for each pair.
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03 — Filtration
Qualifying
Low-confidence signals are filtered out to focus on the essentials.
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04 — Summary
Action proposal
The signal, risk level and suggested positioning are presented in one clear view.
Since the process is automated from start to finish, it is suitable for a user who aims for income along with other work and does not want to commit to continuous market monitoring.
Method and transparency
The following questions deal with the basics of the models, information security and how to test the predictive ability. Answers are written without promises of guaranteed returns.
What data are the models based on?
The models use publicly available market data such as price history, trading volume and volatility metrics. Data is collected with automated interfaces and checked for deviations before modeling.
How accurate are the predictions?
No model can guarantee future market development. Tiliämos presents signals as probabilities and confidence levels, not certainties, so that the user can assess the risk according to their own goals.
How are models validated?
The models are constantly tested against historical data, and their predictive ability is compared to actual market development. Poorly performing models are recalibrated or retired.
How is user data protected?
The data of user accounts and analysis history are stored encrypted, and access to them is restricted as needed. User-specific information is not shared with third parties for marketing purposes.
Start data-driven investing on your own terms
Tiliämos brings together the analysis of over 500 market pairs in one view, so that investment decisions are based on calculated risk and probability, rather than requiring constant investment of time.
Start the analysis Get to know the platformThe platform is available at a limited familiarization level and a wider level of continuous use after separate registration.