CZ Ostrý Burzotřek combines back-tested predictive models with real-time data. The system works around the clock, regardless of your time zone or connection.
Try the modelManually viewing charts from an airport or hotel room carries its own risk. A delayed response costs money as does a wrong estimate.
If you only watch the odds a few times a day, you're missing out on moves between checks. This gap increases with travel.
The algorithm processes input data continuously and reacts to defined conditions regardless of the time of day on your end.
The strategy is validated against historical data before deployment, so decisions are not based on individual intuition.
The system works with defined loss limits for each position, which limits the impact of a single bad entry.
No opaque "black box". The procedure is divided into three verifiable steps.
The model receives market inputs continuously and continuously recalculates probabilistic scenarios according to current developments.
Each strategy is first simulated on older data sets to assess its behavior in different market phases.
The system works with fixed limits for position size and maximum allowable loss per trade.
CZ Ostrý Burzotřek was created in response to the need to manage capital without having to sit in front of a screen all day. The idea is to separate decision making from where you are right now.
The Platform does not replace the user's own judgment. It provides a structured background — analysis, historical context, and specific recommendations that make decisions easier.
You set the input parameters yourself. The model then executes them according to defined rules, not according to the mood of the market on a given day.
Three steps. The last of them will happen even without your intervention.
You choose the market, the level of risk and the limits in which the model should operate. Setup takes units of minutes.
The system processes the available data and compares the current situation with historical patterns of a similar nature.
If the conditions match the specified rules, the model will make recommendations without your presence.
Instead of references from clients, we describe the logic on which the system is built.
The strategy runs against historical data series from multiple periods, including both higher and lower volatility phases. The results of the simulation show how the behavior model would have persisted in the past — they are not a guarantee of the future outcome.
The model works with publicly available market data and historical price series. The quality of inputs is continuously checked against outages and inconsistencies.
Access to the account is protected by an encrypted connection. Sensitive settings, including strategy parameters, are stored separately from publicly accessible parts of the system.
The model does not work with predictions outside the defined market and time frame. Outside of these conditions, he does not make recommendations, rather than guessing.
Access to the model is handled as a monthly subscription. The current rate and billing terms will be displayed before registration is complete.
No hidden fees. The subscription can be canceled at any time before the next billing cycle. Historical backtest performance does not guarantee future results.