Smart Decisions in Real Time
Proventalvor combines predictive artificial intelligence models with continuous risk management, helping day traders assess the market and protect capital without slowing execution speed.
Explore Platform
Proventalvor combines predictive artificial intelligence models with continuous risk management, helping day traders assess the market and protect capital without slowing execution speed.
Explore PlatformIn intraday markets, prices react to thousands of events simultaneously — news, liquidity changes, positions of other participants. Deciding manually under this pressure involves separating signal from noise in a few seconds, a task where human judgment tends to fail predictably and repeatedly.
The Proventalvor is designed for investors and trading teams who need to analyze large volumes of market data without relying exclusively on intuition. The platform integrates predictive models, risk management engines and decision dashboards into a single workflow.
The objective is not to replace the trader's discretion, but to reduce the time between detecting a relevant pattern and making an informed decision, always keeping final control in the hands of whoever operates the account.
Each module operates independently, but the results are combined before reaching the trader as a single, justified recommendation.
Models trained on historical series and real-time market data identify patterns of price behavior before they become visible on conventional charts. Forecasts are presented with confidence intervals, not as absolute certainties.
The engine monitors exposure, implied volatility and correlations between positions continuously, even outside the trader's usual attention hours, proposing stop adjustments when defined risk parameters are exceeded.
Recommendations are delivered in a structured format, compatible with multiple accounts and strategies, allowing the same set of models to serve different volumes of capital without loss of granularity in the analysis.
The transparency of the process is part of the control that the trader maintains over each recommendation.
Feeds of prices, market depth, news and macroeconomic indicators are collected and normalized in real time, creating a consistent basis for analysis.
The data passes through layers of statistical and machine learning models that filter noise, identify relevant correlations and quantify the risk associated with each scenario.
The result is presented as an actionable recommendation, with justification of the factors that support it, allowing the trader to validate or adjust before any execution.
The same analytical basis adapts to different decision horizons, without requiring separate configurations.
Traders who operate in short windows use volatility and liquidity signals to adjust the size of positions throughout the session, reducing exposure in periods of greater uncertainty.
Investors with medium-term positions use correlation recommendations to build hedges that limit losses in sudden correction scenarios, without constant manual monitoring.
Ahead of predicted macroeconomic events, the platform signals changes in implied volatility, allowing you to review risk limits in advance rather than reacting after the price movement.
Data is processed in segregated and encrypted environments at rest and in transit. Proventalvor does not share position data with third parties and applies access controls per user.
Integration is done through API connectors compatible with the main brokers and trading platforms used in Portugal and Europe, without the need to migrate existing accounts.
Data processing and generation of recommendations occur in windows of just a few seconds, sufficient for intraday decisions. Proventalvor follows a human-in-the-loop approach: the AI analyzes and suggests, but the final execution remains under the control of the trader.
Integration with existing workflows is done gradually, without the need to replace tools already used by your team.