Fondi in Commune — predictive analytics platform for professional traders

Algorithmic copy-trading based on real-time predictive models

Fondi in Commune analyzes market flows, volume data and macroeconomic signals to select quantitative strategies and make them replicable with user-defined risk parameters.

The operational dashboard shows, for each active strategy, execution latency, current exposure and deviation from the reference benchmark, with continuous updating of the risk parameters.

System architecture

Three components underlying decision optimization

Every strategy deployed on the platform goes through the same three levels of processing, regardless of the asset class or risk profile selected.

01

Real-Time Predictive Analysis

The models process market data, order books and structured news with a continuous update cycle, reducing the delay between event and operational signal.

02

Risk Optimisation

Each replicated position is bound to exposure thresholds, portfolio correlation and maximum drawdown defined before the activation of the strategy.

03

Scalability of Execution

The infrastructure distributes orders across multiple linked strategies and accounts maintaining price consistency and executable even in high volatility conditions.

Data update frequency
Continue, on market flows
Risk parameters
Defined and editable by the user
Strategies monitored
Selected and validated by the system
Methodology

How data becomes a replicable strategy

The process is divided into verifiable steps, from raw data collection to order synchronization on the user's account.

1

Data collection

Ingestion of prices, volumes, market depth and news flows from structured sources.

2

Predictive processing

Statistical models generate probabilistic estimates of the direction and intensity of expected movement.

3

Signal validation

Each signal is compared with the risk constraints of the selected profile before becoming operational.

4

Synchronized execution

The order is replicated on the linked account respecting the sizing and limits set by the user.

Order book Trading volumes Structured news flows Macroeconomic indicators Historical price data

Predictive models do not generate absolute predictions: they produce probability estimates that are constantly recalibrated based on new incoming data. This approach allows you to adapt your strategy to changing market conditions without continuous manual intervention.

Selection of strategies

Filter and replicate strategies consistent with your profile

The available strategies are classified by time horizon, frequency of operation and risk level, so that they can be compared before activation.

All strategies Short term Medium term High frequency Low risk
Conservative

Contained exposure

  • Maximum drawdown set to reduced thresholds
  • Diversification across multiple uncorrelated assets
  • Low operating frequency
Balanced

Intermediate risk and frequency

  • Combination of short and medium term signals
  • Dynamically calibrated exposure limits
  • Periodic portfolio rebalancing
Dynamic

High frequency operation

  • Execution on short duration signals
  • Higher risk tolerance, with explicit limits
  • Continuous monitoring of intraday exposure
Explore Strategies
Risk management

Risk limits defined before execution, not after

Each replicated strategy operates within parameters set in advance: position sizing, dynamic stops calibrated to current volatility and correlation limits between open positions on the same account.

The system does not only intervene on the single transaction: it monitors the aggregate exposure of the portfolio and automatically reduces the allocation towards strategies that exceed the drawdown thresholds set by the user.

Distribution of risk limits by profile

Conservative
Balanced
Dynamic

Indicative representation of the breadth of exposure limits configurable by profile, not historical performance data.

Frequently asked questions

Technical and operational aspects

The following answers concern the aspects most requested by traders who evaluate the integration of the platform into their daily operations.

With what latency are orders replicated on the linked account?

The order is forwarded to the user's account as soon as the signal passes the validation phase. The actual latency also depends on the broker and the connection of the linked account, factors external to the platform.

Which accounts and brokers are compatible with algorithmic copy-trading?

Compatibility depends on the account type and the broker's execution infrastructure. Technical details on the integration are provided during account setup.

Is it possible to change risk parameters after activating a strategy?

Yes. Exposure thresholds, maximum drawdown and position sizing can be updated at any time; the changes apply to operations after the update.

Do user funds pass through Fondi in Commune?

No. The execution takes place on your account with your broker; Fondi in Commune generates and transmits operational signals, without having custody of the funds.

How are the strategies proposed on the platform selected?

The strategies are evaluated on an ongoing basis with respect to signal coherence, stability of the declared risk profile and adherence to the operational limits envisaged for the category to which they belong.

For technical questions not covered in this section, you can write to support via contact page.

Activate access to the platform and configure your first risk profile

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Trading involves a risk of loss of invested capital. The information on this page is descriptive and technical in nature and does not constitute personalized financial advice. Before activating a replicated strategy, it is recommended to evaluate your risk tolerance and, if necessary, consult an independent financial advisor.