The Drahoměrec algorithm tracks real-time market data and spreads your investment into regular, smartly timed purchases to limit the impact of short-term volatility on your position.
The illustration shows the principle of the model: market input data is processed by an algorithm and converted into a recommended buying schedule.
The crypto market is constantly moving and its short-term fluctuations do not fit the schedule of a student or a full-time employee. Deciding when and how much to buy usually requires watching charts in real time and reacting quickly to changes in market sentiment – this is both time consuming and mentally demanding.
Instead of making a one-time investment decision, the automated strategy breaks down the purchase into smaller, regular steps. The choice of a specific moment of purchase is then taken over by a model that evaluates the data faster and without emotional burden.
After defining the investment amount and frequency, the model itself manages individual purchases according to current market conditions – without the need to monitor the charts daily.
Dollar-cost averaging spreads the invested amount over regular purchases instead of one big transaction. Drahoměrec extends this principle with a predictive layer: the model adjusts the size and precise timing of individual purchases based on current volatility and short-term market signals.
Setting parametersYou choose the amount, frequency and cryptocurrency you want to invest in.
Analysis of market conditionsThe model evaluates volatility and historical patterns in a short time window.
Determining the entry pointThe algorithm will suggest the moment of purchase within the selected interval, not randomly.
Execution and recordingThe purchase is made automatically and recorded in your overview.
| Interval | Volatility signal | Condition |
|---|---|---|
| Week 1 | Low | Purchased |
| Week 2 | Increased | Postponed by 2 days |
| Week 3 | Low | Purchased |
The displayed data is illustrative and does not correspond to actual market values.
Predictive analytics in Drahoměrec doesn't replace your decisions about whether and how much to invest - it works with data that would take hours a day to track the market manually.
Purchases are spread out over time, so that a single poorly chosen price affects only a fraction of the total investment, not the entire amount at once.
The model continuously processes market data and updates its estimate of the right moment to buy instead of relying on outdated information.
Based on the chosen strategy, you get an overview of the recommended schedule adjustments along with an explanation of why the model made them.
We don't use references or promises of returns - we describe the process as it works. Each recommendation is based on a verifiable data processing procedure, not an unexplained black box.
The model collects price and volume data from the market at regular intervals and filters out short-term noise from relevant signals.
Based on the processed data, the model estimates the probability of short-term price movement and suggests a more suitable moment of purchase within the selected interval.
The recommendation is reflected in an automatic purchase according to the limits and rules you set in advance, which you can modify at any time.
The platform is designed for regular smaller deposits, not a one-time large investment. The specific minimum amount is set by the user when setting up the plan according to their own options.
The model works with probabilistic estimates, not certainty. Its task is to systematically process available market data and reduce the influence of emotional decisions, not to guarantee a return.
Access to the account is protected by standard security mechanisms, and the user has the option to suspend the automation or adjust the investment plan settings at any time.
Setting up a demo plan takes a few minutes and shows you how the model works with real market data without the risk of a real investment.
No payment card is required. The actual investment decision is always up to you.