Datalvanza — predictive analysis terminal for trading
Predictive analysis Zero commissions

Predictive models and commission-free execution for high-frequency trading

Datalvanza processes market data in real time using stochastic analysis models and translates them into operational signals, without charging any commission per operation or volume managed.

EUR/USD spread0.0 pips
Commission per operation€0.00
Average signal latency< 50ms*
Active modelStochastic v.3

A layer of intelligence on your market data, not another broker

Datalvanza does not broker trades or charge hidden spreads. It is a data analysis platform that connects to your existing accounts and feeds via API, processes large volumes of market information and returns decision recommendations with associated risk metrics.

The goal is to reduce the time between the appearance of a signal in the data and making an informed decision, while maintaining the traceability of each recommendation generated by the model.

Datalvanza — data analysis team working on predictive models

Zero commissions is not a promotion, it is an architectural decision

Most brokers compensate low commissions with wide spreads, inactivity charges or custody fees. Datalvanza eliminates that monetization layer on the individual operation because its business model does not depend on the volume traded by the user.

Concept Traditional broker Datalvanza
Commission per operation 0.10–0.35% per trade 0.00%
Spread on major currencies 0.8–1.5 pips Liquidity provider spread, no margin added
Custody/inactivity fee Regular, monthly or quarterly Not applicable
Analysis engine cost Not included Included in the platform subscription
Example of cumulative impact: An operator who executes 40 monthly operations with a broker that charges 0.2% per operation on an average capital of €5,000 allocates approximately €480 per year only to direct commissions, without counting spreads. That figure remains at €0 as a commission per operation with Datalvanza, regardless of the result of the strategy.

Analysis engine architecture

The system is organized in three layers: market data ingestion, processing through predictive models and signal distribution layer to the user's terminal or its own execution system via API.

Ingestion layer

Connectors to market feeds and order books, normalized into homogeneous time series before entering the calculation engine.

  • Input formatTick / OHLCV
  • Sampling Rate1–1000ms
  • ProtocolWebSocket/REST

Modeling layer

Predictive models based on stochastic analysis and supervised learning, periodically retrained with recent market data.

  • Model typeTime series + ML
  • RetrainingConfigurable cycles
  • ValidationWalk-forward backtesting

Distribution layer

Delivery of risk signals and metrics to the web terminal, through webhooks or direct integration with the user's execution system.

  • ExitJSON/Webhook
  • AuthenticationAPI key per account
  • Request LimitConfigurable per plan
<50msTarget signal latency*
24/5Covered market window
APIIntegration via REST / WS
€0Commission per operation

* Latency measured from the reception of the market data to the generation of the internal signal; may vary depending on the data provider and the infrastructure load at any given time.

How data is processed to support a decision

The engine does not issue certainties about the market: it calculates conditional probabilities based on historical patterns and real-time data, and always accompanies them with an associated risk estimate.

Predictive model

It combines stochastic analysis with volatility regime detection to estimate the probability of different price scenarios in a user-defined time window.

Risk module

Each signal includes a Value at Risk (VaR) estimate and a risk/reward ratio calculated on the configured position size, before any execution.

Real-time signal view

The terminal displays the active signal along with its confidence level and accompanying risk parameters.

ActiveEUR/USD
Model Confidence68%
VaR (95%, 1 day)−1.2%
Risk/reward ratio1:2,1

From account connection to operational signal

The incorporation process is designed for a user with prior knowledge of markets and integration via API, without intermediate commercial steps.

01 · Integration

Connection via API

The user generates an API key from the terminal and links it to their data source or supported execution broker.

02 Calibration

Model configuration

Assets, time horizon, risk tolerance and minimum confidence thresholds are defined for the model to emit signals.

03 · Validation

Backtesting on own data

Before trading live, the calibrated model is run on recent history to review its behavior in different market regimes.

04 · Execution

Deployment logic

Signals are sent to the user's terminal or execution system; The final decision to operate always remains on the side of the user or their automated system.

Security, API limits and cost transparency

How do you ensure there are no hidden fees?

Datalvanza's revenue structure is based on platform subscription, not trading volume. There is no transaction fee, added spread or custody fee managed by Datalvanza; Any spread that appears comes directly from the liquidity provider or connected broker, not the platform.

What request limits does the API have?

The limit of requests per minute depends on the contracted plan and the type of endpoint used (market data versus calculated signals). Exact limits are displayed in each account's API dashboard before integration.

Where is connection data stored and how is it protected?

API keys are encrypted at rest and in transit, and direct broker access credentials are never stored when the connector allows this using limited scope tokens. Access to the dashboard requires individual authentication per account.

Does the predictive model guarantee results?

No. The engine generates probability estimates and risk metrics from real-time and historical data; It is not a guarantee of future performance. Every operation carries the risk of loss of capital.

Can I use Datalvanza together with my current broker?

Yes, as long as the broker or data source exposes an API compatible with the supported formats (REST or WebSocket). The platform acts as an analysis layer, it does not replace the contractual relationship with the execution broker.

Security and Compliance Note: Datalvanza processes market data and risk metrics, it does not custody client funds. The connection with execution brokers is made through API keys with limited permissions, configurable by the user themselves from their panel.

Connect your data source and check the first signals from the model

Access to the Datalvanza terminal includes the predictive analytics engine, risk module and API documentation, with no cost per transaction from day one.

REST API WebSocket Webhooks CSV export Brokers with open API