Your data. Your profit.
Odabirko analyzes market data on a daily basis and turns it into concrete recommendations for revenue optimization. Each report comes with transparent tracking of results, including those that failed.
Odabirko analyzes market data on a daily basis and turns it into concrete recommendations for revenue optimization. Each report comes with transparent tracking of results, including those that failed.
Algorithms process large amounts of market and transaction data and translate it into clear, actionable steps. The goal is additional income based on evidence, not assumptions or market feel.
The model monitors changes in demand and prices and adjusts recommendations several times a day.
Recommendations are based on your activity profile and historical results, not generic averages.
Each recommendation includes a risk assessment, so you know when it's better to wait than act.
Every decision is recorded and compared with the actual outcome, which enables continuous improvement of the model.
Each recommendation goes through the same, repeatable verification process. So you know exactly why the model chose a certain strategy and how it affected your result.
The system collects publicly available market data, demand patterns and your activity history.
Predictive models evaluate likely scenarios and rank them according to expected return and risk.
Every day you get a summary of recommendations, expected outcomes and actual results from the previous day.
Deviations between predictions and reality are entered into the model to make subsequent recommendations more precise.
Schematic representation of the daily report: the relationship between predicted and realized yield over time.
Guarantee of transparency: each report also contains recommendations that did not give the expected result, not only successful examples. No selective display of data.
An occasional driver or delivery user uses daily recommendations to select time frames with increased demand, rather than relying on gut feeling or random scheduling.
The model takes into account both the cost of fuel and time, so that the recommendation does not only optimize the gross income, but the actual net output per hour.
The result is less time spent waiting and more time in activities with a higher probability of paying off.
An investor managing a smaller portfolio uses daily and weekly signals to rebalance positions, without the need to monitor dozens of data sources.
Each recommendation comes with an estimate of the volatility range, making it easier to decide on the position size before entering it.
Instead of searching daily for market news, the user gets a single summary with clearly ranked priorities.
Not. Odabirko delivers analytical recommendations based on data and models. You make the final decision yourself, with an insight into the risk assessment that comes with the recommendation.
Market and transaction data are processed throughout the day, and a summary with recommendations and results of the previous day is delivered every morning.
Such cases remain visible in the report. Each recommendation is recorded together with the outcome, so deviations enter the model as data for future adjustments.
That. The reports are structured as summaries with clearly ranked recommendations. A more detailed methodology is available for those who want a deeper insight.
The model uses publicly available and contracted data sources. All input values and processing methodology are documented and available for inspection.
A detailed description of the methodology and technical specifications of the model is available on the site Features.
Registration takes a few minutes. The first daily report arrives the next working day, with recommendations tailored to your activity profile.