Z jakých zdrojů pocházejí tržní data?

Model čerpá z agregovaných cenových a objemových dat a z veřejně dostupných sentimentových zdrojů. Data procházejí validací proti duplicitám a výpadkům před vstupem do modelu.

Jak spolehlivé jsou generované signály?

Signál vyjadřuje pravděpodobnostní odhad, nikoli jistotu. Historická úspěšnost modelu se zveřejňuje v sekci dokumentace a je pravidelně aktualizována podle výkonu na nových datech.

Jak je zajištěn přístup k účtu?

Přístup k účtu vyžaduje dvoufaktorové ověření. Citlivá data jsou šifrována při přenosu i uložení, v souladu s běžnými standardy pro finanční aplikace.

Proč platforma neúčtuje poplatky za obchody?

Příjem platformy pochází z předplatného za přístup k analytickým nástrojům, nikoli z objemu obchodování uživatelů. Tím odpadá motivace doporučovat vyšší frekvenci obchodů.

Provádí platforma obchody automaticky?

Ne. Vietor Tradovin poskytuje analytický podklad a návrh parametrů obchodu, finální potvrzení a odeslání pokynu zůstává v rukou uživatele.

Vietor Tradovin — platform interface for AI market analysis

Predictive AI market analysis with no trade fees

Vietor Tradovin processes real-time market data and generates trading signals based on a statistical model. You pay nothing for the trades themselves — you keep 100% of your profits.

Create an account for free How the analysis works

The platform is intended for active retail traders and quantitative investors in the Czech Republic. Trading in financial instruments carries the risk of capital loss.

Interface preview: the signal panel displays the probability of movement, the estimated time horizon and the recommended position size side by side — without having to switch between tools.

Market context

Data delays and hidden fees reduce the real return

Most brokerage platforms charge a fee on each trade or spread in addition. With active day trading, these amounts add up during the month and reduce the net result, regardless of the quality of the strategy. Vietor Tradovin removes this cost from the equation while shortening the time between the origin of a market signal and its evaluation.

Delayed data A decision based on data that is a few seconds old comes late in short-term trading.
Fees per trade Commissions and spreads reduce returns even for profitable positions, especially with higher trading frequency.
Fragmented tools Technical analysis, sentiment and risk management tend to be split between several applications.
Emotional decision making Without a consistent framework, it is difficult to maintain the same criteria for entering and exiting a position.

Predictive models

How Vietor Tradovin Processes Market Data

The model combines historical price series, trading volume and sentiment from publicly available sources. The output is not a certainty, but a probabilistic estimate of the price movement in the given time window, supplemented by the recommended size of the position due to volatility.

24/7 Continuous processing

The data feeds are updated continuously, regardless of the opening hours of one exchange.

Real-time Real-time analysis

New tick and volume data are projected into the model without batch delay.

Multi-source data Aggregation of inputs

Price data, volume and sentiment are normalized into a single format before analysis.

The internal dashboard displays the deviation of the signal from the historical average in the form of a simple volatility graph, not a decorative visualization — the goal is quick readability, not visual effect.

Zero transaction fees. You keep 100% of the profits.

Vietor Tradovin does not generate commission income for individual trades. The platform is funded by subscription for access to predictive models and extended datasets — so the cost is fixed and predictable, regardless of your trading volume.

Pricing model	Shop fee	What are you left with?
Traditional broker with commission	0.05-0.3% by volume	Profit less commission
Broker with spread	Hidden in the spread	Profit minus the spread
Vietor Tradovin	0% per trade	100% profit from the position

Methodology

The journey from data to trading signal

Each signal goes through four steps that can be traced back — it's not a black box with no explanation.

Aggregation of data

Price, volume and sentiment data from multiple sources are collected and cleaned of duplicates and outages.

Pattern recognition

The model compares the current data structure with historical patterns associated with subsequent price movement.

Risk assessment

The signal is complemented by a volatility estimate and a recommended maximum position size.

Enforcement support

The resulting proposal includes an entry level, a stop-loss and a target level for manual confirmation.

Ways of use

Adapting to different trading styles

Signals can be filtered by time horizon, so they can be used for both short-term and long-term positions.

Day trading Swing trading Securing the portfolio

Day trading

Short-horizon signals highlight movements in the order of minutes to hours, including recommended position size due to intraday volatility.

Due to the speed of decision-making, we recommend setting automatic stop-loss levels and not exceeding the recommended exposure per trade.

Swing trading

The model evaluates patterns over a time horizon of several days to weeks and combines them with sentiment, which changes more slowly than the intraday price.

A longer horizon means greater exposure to macroeconomic news — we recommend following the events calendar.

Securing the portfolio

Signals can be used to identify times when volatility is correlated across holdings and consider reducing exposure temporarily.

Hedging reduces potential loss, but usually also potential gain — it's a trade-off, not a guarantee of capital protection.

About the platform

A tool for marketers who want to make decisions based on data

Vietor Tradovin was created in response to the demand for an analytical tool that does not combine prediction with charging commissions on each trade. Model development is independent of the trading department, so that recommendations reflect data, not interest in trading volume.

The platform is intended for independent decision-making — it provides documents, the final confirmation of the trade always remains with the user.

Vietor Tradovin — the team and working environment of the analytical platform

Frequently asked questions

Technical and security issues

What are the sources of market data?

The model draws on aggregated price and volume data and publicly available sentiment sources. Data is validated against duplicates and outliers before entering the model.

How reliable are the generated signals?

The signal expresses a probabilistic estimate, not a certainty. The historical performance of the model is published in the documentation section and is regularly updated according to performance on new data.

How is account access secured?

Account access requires two-factor authentication. Sensitive data is encrypted during transmission and storage, in accordance with common standards for financial applications.

Why does the platform not charge for trades?

The platform's income comes from subscriptions for access to analytical tools, not from users' trading volume. This removes the incentive to recommend a higher frequency of trades.

Does the platform execute trades automatically?

No. Vietor Tradovin provides the analytical background and the design of trade parameters, the final confirmation and sending of the order remains in the hands of the user.