Our predictive models transform the raw market data stream into intraday trading signals, so the decision is not based on feeling, but on measurable probability.
Fényes Hozamlat's system continuously processes unstructured market data - exchange rate movements, order book depth, volatility clusters - and draws statistically based conclusions from them.
The goal is not to predict the market, but to filter out cognitive biases from the decision-making process. Without human intervention, the models identify the situations where the risk-return ratio is statistically unfavorable, so the trader's attention is concentrated on the relevant situations.
In this sense, data-based decision-making does not replace professional judgement, but provides a framework for it: every proposal can be traced back to the underlying data and the logic of the model.
The platform generates an independent, unmodifiable report for each trading day. After closing the report, the data cannot be overwritten, so retroactive cosmetic performance is technically excluded.
This real-time validation means that the performance of the model is not explained afterwards, but can be monitored day by day, based on pre-recorded metrics. Auditable results can be exported for all registered users.
Illustrative layout to show the structure of the report, not actual performance data.
The models prepare probability estimates for intraday exchange rate movements, based on continuously updated market inputs, not as a one-time, static forecast.
Based on the identification of volatility clusters, the system provides automated stop-loss and hedging recommendations before the exposure reaches a critical level.
Low-latency connection to the trader's existing execution infrastructure using Fényes Hozamlat signals directly.
Continuous, low-latency reading of rate, volume and microstructure data from multiple market sources.
The predictive model filters the noise, identifies statistically relevant patterns, and prioritizes potential signals.
The trader receives a ready-made, justified proposal on the control panel, together with risk parameters and the data on which the decision is based.
Fényes Hozamlat is not a tool for distributing trading tips, but a continuously auditable decision support system that incorporates risk management and performance monitoring into the daily workflow.