Cesko — analytical interface for investment decision making
Platform for investment data analysis

Investing driven by data, not emotion.

Cesko processes market data using predictive models and removes psychological bias from decision making. The system evaluates risk and recommends actions based on measurable patterns, not market sentiment.

Interface preview: an overview screen with daily portfolio performance, risk scores and a list of recommended adjustments — without charts designed to elicit an emotional response.

How the system processes market data

Cesko continuously collects and evaluates millions of data points from price series, trade volumes and macroeconomic indicators. The output is not a prediction of the future, but the identification of recurring patterns that the human eye normally misses when viewing charts manually.

  • Predictive modelsAlgorithms trained on historical data estimate the probability of different development scenarios and assign them weight within the portfolio.
  • Real-time monitoringMarket data monitoring is ongoing; deviations from expected behavior are recorded within an hour of their occurrence.
  • Consistent evaluationEvery decision goes through the same set of criteria, regardless of current market sentiment or media reports.
Input data points / day2.4 million
Risk score update60 minutes
Monitored market indicators142
Processing delay< 3 sec

Daily performance reports

Absolute overview replaces estimates. Every day you will receive a structured report with the results of the portfolio, the activity of the algorithm and the justification of the adjustments made. The goal is zero information asymmetry between the system and the investor.

24 hours

Reporting cycle

The performance report is generated once a day and contains a comparison with the previous period, not just the current status.

100%

Rationale for steps

Each portfolio adjustment is documented by a specific data stimulus that led to it. No decision is a "black box".

0

Hidden charges in the report

The cost structure is presented in each report in the same way as the performance figures, without a separate price list.

Portfolio optimization logic

Three steps that take place repeatedly and in the same order for each portfolio.

01

Data collection

The system collects market, macroeconomic and sector data from publicly available sources. The data is normalized into a uniform format for further processing.

02

Risk assessment

Each position is assessed for volatility, correlation with the portfolio and sensitivity to external shocks. The output is a risk score, not a subjective estimate.

03

Portfolio optimization

Based on the risk score, the system will propose an adjustment to the allocation. The recommendation respects the investor's pre-set limits, not short-term fluctuations in market sentiment.

Risk reduction as part of system architecture

The main concern of new investors is the loss of capital caused by a hasty decision. Cesko addresses this issue at the architecture level, not just by recommendation.

The system works with predefined exposure limits. If a proposed portfolio adjustment exceeds these limits, it is automatically adjusted or held for manual approval.

Algorithmic safeguards also prevent impulsive interventions by the user — each manual order is compared with the current risk profile of the portfolio before it is confirmed.

Data security: All communication between the user interface and the analytics engine is encrypted. Access to portfolios is decoupled from access to analytical models, so no single point of failure threatens the entire system.
Cesko — a team of analysts working with the risk data model

Your first data-driven decision.

It takes a few minutes to create an account. Your risk profile is analyzed based on the data you provide during registration, not based on an estimate.