Qual è la latenza tra segnale ed esecuzione dell'ordine?

Il sistema opera in bassa latenza: il tempo medio tra la generazione del segnale e l'inoltro dell'ordine al broker collegato è contenuto in un intervallo di pochi secondi, variabile in base alla reattività dell'API del broker stesso.

Come vengono trattati i dati del mio portafoglio?

Tutte le credenziali e i dati di posizione sono protetti con crittografia end-to-end sia in transito che a riposo. L'accesso ai dati è limitato ai soli processi necessari al calcolo delle raccomandazioni.

Posso personalizzare i livelli di rischio e automazione?

Sì. È possibile impostare soglie di drawdown massimo, scegliere se approvare manualmente ogni operazione o delegare l'esecuzione automatica, e modificare questi parametri in qualsiasi momento dal pannello di controllo.

Stimaranzia — data analysis dashboard for on-screen traders during portfolio setup

Optimize your portfolio in 60 seconds with Stimaranzia's predictive analytics

We connect machine learning models and quantitative analysis to a one-click interface: the algorithm selects the alpha, you stay in control of the final decisions.

Setup begins See how it works

Real-time market data End-to-end encryption No coding skills required

Information overload

Signals analyzed/day12,400+

Discarded noise~94%

Average drawdown monitoredIn real time

The problem

Too much data, little time to decide

A private trader receives thousands of signals every day: news, volume changes, social sentiment, macroeconomic reports. Distinguishing a relevant signal from statistical noise requires time which often isn't there, especially in high volatility sessions.

Stimaranzia applies language models and quantitative analysis to filter this flow, isolating correlations that actually have predictive value on price behavior, reducing cognitive load without eliminating decision control.

Platform capabilities

Three engines, a single decision-making infrastructure

Each module works on shared data, so recommendations remain consistent across analysis, risk and execution.

Predictive Analysis

Forecasting models on time series and alternative data

The engine crosses price data, volumes and textual sources to estimate the probability of movement over a configurable horizon, highlighting the residual alpha compared to the chosen benchmark.

Risk Management

Dynamic control of portfolio drawdown

The system recalculates the exposure based on the current volatility and proposes stop thresholds consistent with the set risk profile, before the loss becomes structural.

Instant Execution

Low latency synchronization with the broker

Once a strategy has been approved, the order is forwarded to the connected broker without intermediate manual steps, reducing the gap between the signal generated and the open position.

Configuration

From registration to the first active strategy in three steps

The process does not require custom scripts: the main parameters are set via a guided interface.

Connect your broker account

Authorize the connection via read-only or execution API, choosing the level of autonomy you prefer.

~20 seconds

Analyze the risk profile

Answer a few questions about capital, time horizon and drawdown tolerance: the model calibrates the parameters accordingly.

~25 seconds

Enable continuous monitoring

The system begins to process signals and propose actions; you decide whether to approve them automatically or manually.

~15 seconds

Stimaranzia — team of analysts working on portfolio optimization models

Methodology

A quantitative approach, not miraculous predictions

Stimaranzia does not promise guaranteed returns: it combines machine learning models with risk management rules tested on historical data, to provide recommendations that take into account both alpha potential and downside exposure.

The goal is to reduce the time between analysis and decision, always leaving the trader with the final say on execution.

Discover our method

Data transparency

How recommendations are generated

Data sources

Real-time market feed on stocks, ETFs and major currency pairs
Macroeconomic reports and earnings calendars automatically aggregated
Sentiment analysis from public textual sources using language models

Algorithmic logic

Each recommendation arises from the combination of a quantitative predictive model and a level of verification based on the Large Language Model, which contextualizes the signal before proposing it. This double step reduces the false positives typical of purely statistical models.

Security

Broker login credentials are end-to-end encrypted and are never shared with third parties. Portfolio data remains segregated by individual account.

Frequently asked questions

Technical clarifications before starting

What is the latency between signal and order execution?

The system operates in low latency: the average time between the generation of the signal and the forwarding of the order to the connected broker is contained in an interval of a few seconds, variable based on the reactivity of the API of the broker itself.

How is my wallet data processed?

All credentials and location data are protected with end-to-end encryption both in transit and at rest. Access to data is limited to only the processes necessary to calculate the recommendations.

Can I customize risk and automation levels?

Yes. You can set maximum drawdown thresholds, choose whether to manually approve each operation or delegate automatic execution, and change these parameters at any time from the dashboard.

Set up your wallet in 60 seconds

No credit card required for initial trial. You will be able to connect your broker account in read-only mode to evaluate recommendations before activating automatic execution.

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