Market analysis on over 500 trading pairs, processed in real time
Ampia Crescitura collects and analyzes data from over 500 trading pairs with AI predictive models. Signals are generated in milliseconds, based on verifiable historical and market patterns.
The three-number processing scale
No qualitative estimates: just measurable data volumes and response times.
Trading pairs
Monitor crypto, forex and indices in parallel, with continuous updating of price and volume data.
Processing latency
From the reception of the raw data to the generation of the signal, without intermediate manual steps.
Continuous monitoring
Covered markets are observed continuously, including overnight and weekend sessions for crypto.
Three functions, a single decision flow
Each module works on the same input data, but with a different objective: predict, protect, execute.
Analyze historical and real-time data
The model analyzes time series of price and volume along with real-time flows. Identifies recurring patterns and compares them to similar market conditions previously observed.
- Analysis over multiple time horizons in parallel
- Automatic comparison with historical patterns
- Updating models with each new block of data
Identify conditions of anomalous volatility
The system signals exposed positions when volatility deviates from expected parameters. The goal is to reduce risk, not eliminate it: each signal includes a confidence level.
- Configurable risk thresholds per instrument
- Alerts on anomalous volatility deviations
- Confidence indicator on each signal
Executes orders according to predefined rules
When activated, automated execution applies rules set by the user, without manual intervention during high volatility phases. The rules remain modifiable at any time.
- User-defined entry and exit rules
- Execution via API to the connected exchange
- Detailed log of every order executed
From raw data to operational signal
Three phases in sequence, each verifiable and tracked in the system.
Data collection
Market feeds are captured from connected exchanges and normalized into a single format, regardless of the original source.
Pattern recognition
The models analyze normalized time series to identify recurring patterns in price, volume and correlation between instruments.
Signal generation
The result is a structured signal, with confidence level and risk parameters, ready for manual review or automatic execution.
A clean, data-oriented interface
The visual hierarchy puts active signals and risk metrics front and center, without unnecessary decorative elements.
- Active couples monitored512
- Signals generated (last hour)38
- Average signal confidenceHigh
- Average processing latency< 100 ms
Technical answers, without mincing words
What is the real latency of the system?
From the moment a market data is received to the moment a signal is generated, the average time is measured in milliseconds. Latency varies based on the number of instruments scanned in parallel and the load of the source exchange.
How is your account data protected?
API keys are stored in encrypted form and are never exposed on the client side. Auto-execution access can be limited to trading-only permissions, excluding withdrawals, if the exchange allows it.
What asset classes are supported?
The platform covers cryptocurrencies, forex pairs and a select set of indices, based on the availability of feeds from connected exchanges. The complete list of supported tools can be found on the features page.
Optimize your trading with AI
Connect your exchange account and start receiving signals based on verifiable data, without complex settings to configure beforehand.