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Jitrelnik — visualization of real-time market data analysis

Algorithmic precision without transaction fees

Jitrelnik analyzes real-time market data and translates it into concrete recommendations. No commissions on trades means you keep the full return on your strategy.

Go through the methodology View benefits

The platform's data layer tracks volume, volatility and historical correlations across markets and updates the recommendation model at intervals consistent with market velocity.

How the engine works

Predictive analytics built on data, not emotion

At the core of Jitrelnik is a set of predictive models that process real-time market data and evaluate the probability of price movement based on historical patterns and current volatility.

At the same time, the models allow for risk optimization — each recommendation is accompanied by an estimate of exposure, not just the direction of the trade.

  • Data update frequencyContinuously, in seconds
  • Sources of input dataPrice ranges, volume, volatility
  • Model outputRecommendation with a degree of certainty
  • User engagementConfirmation or modification of parameters
Pricing model

Zero fees is the default, not a promotional offer

0%

This is how much Jitrelnik charges from realized profit. The platform works on a different principle than traditional brokers — instead of commission on trade volume, it generates value from the accuracy of recommendations.

Traditional broker, trade commission0.1% - 0.5%
Traditional broker, spread feeVariable
Jitrelnik, transaction fee0%
Transparency Note: Jitrelnik does not generate income from your trade volume or spread. We therefore have no incentive to recommend frequent trading beyond what the model evaluates as justified.
Methodology

From raw data to trading signal in three steps

The process is designed to shorten the time between the creation of a market opportunity and the decision, while limiting the influence of emotional decision making on the outcome.

01

Data collection

The system continuously receives price, volume and volatility data from connected markets and normalizes them into a uniform format for further processing.

02

AI synthesis

A predictive model evaluates the current data pattern against historical correlations and calculates the probability and range of expected movement.

03

Recommendations for implementation

The output is a specific recommendation including a degree of certainty and a risk estimate, which the user confirms or adjusts according to his own strategy.

Utilization

Three scenarios in which the model delivers a measurable advantage

Jitrelnik is not limited to one trading style. The model adapts to the time horizon and the goal of a specific strategy.

Scalping

Automation of short-term positions

The model evaluates micro-movements of the price in a matter of minutes and draws attention to moments when the ratio of risk to opportunity corresponds to the set parameters of the trader.

Portfolio hedging

Ensuring exposure across positions

Analyzing correlations between assets helps identify where a portfolio is most exposed to one type of risk and suggests a counterbalance.

Volatility

Analysis of fluctuations before key events

The model monitors the increase in volatility in advance of macroeconomic events and adjusts the degree of certainty of the recommendation according to the current market uncertainty.

Jitrelnik — the working environment of the platform analysis team
About the platform

Built for traders who can read the data themselves

Jitrelnik was created as a tool for traders who want to add systematic data analysis to their judgment, not replace it. The model does not make decisions for the user — it provides structured recommendations that can be verified and modified.

We emphasize the comprehensibility of the outputs: each recommendation contains not only a direction, but also a level of certainty and an estimate of risk, so that decision-making is explicable in retrospect, not just a black box result.

More about the team's approach
Questions and risk

Technical and operational questions we answer openly

How to connect to a trading account via API

The platform connects to supported business interfaces via a restricted API key. The key can be invalidated at any time directly in the broker settings, without affecting the analysis history.

How data and access data are secured

Login and API data are stored separately from analytical data, and the transmission takes place exclusively through an encrypted channel. The model does not work with account cash, only market data and generated recommendations.

What is the real risk of algorithmic trading?

No predictive model guarantees a future outcome, and historical accuracy does not guarantee the same market behavior in the future. Jitrelnik recommendations should be understood as a basis for decision, not as a guarantee of profit, and the trader is responsible for the final decision and its consequences.

The model can be used without automatically executing trades

Yes. The default mode only displays recommendations and risk estimation; automatic trade execution is an optional feature that must be activated and set up separately.

Next step

Start by reviewing the technical documentation

If you are working on your own business strategy and considering where Jitrelnik fits into your workflow, we recommend starting with the technical specifications of the connection and referral structure.

Get in touch with our team View technical documentation