Technical infrastructure behind strategy replication
The engine combines market data processing, statistical risk modeling and automated execution. Each component operates independently and is audited before going into production.
Zero latency processing
Market data is ingested and processed in the same cycle in which it arrives, with no waiting lines between data reading and signal generation.
Stochastic Risk Modeling
Each strategy is subjected to simulations that estimate the drawdown probability before being released for replication, adjusting the position size according to the observed volatility.
Automated algorithmic execution
Mirrored orders are sent directly to the broker via API, without manual intervention, reducing the time between the original signal and the replica in the user's account.
How a strategy comes to you
The selection process is deliberately restrictive. Most of the strategies analyzed do not go beyond the second stage.
Data aggregation
Algorithmic managers' strategies are continuously monitored, gathering history of operations, realized volatility and behavior in different market regimes.
AI vetting
A set of models evaluates historical consistency via out-of-sample backtesting, penalizing strategies with performance concentrated in a few favorable events. Only those that maintain stable results in multiple cycles proceed to the final stage.
Mirroring
Approved strategies are available on the dashboard. When activating them, your orders are replicated proportionally to the allocated capital, respecting the risk limits defined by the user.
Simulated historical performance
Sample of strategies available for replication, with metrics calculated over 24 months of backtesting. Past results do not guarantee future returns.
| Strategy | Volatility Index | Success rate | Average recovery time |
|---|---|---|---|
| Alpha Sigma-4 | 12.87 | 64.21% | 6.4 days |
| Northline Delta | 18.09 | 58.73% | 9.1 days |
| Vetta Carry-2 | 9.42 | 71.05% | 4.2 days |
| Orbital Mean-Rev | 14.66 | 62.98% | 7.0 days |
Volatility index calculated on annualized standard deviation of daily returns. Success rate refers to the proportion of operations closed in profit in the analyzed period.
Active capital while you are between contracts
Freelancers often face months of irregular income. While a new project is negotiated, the available capital normally remains frozen in a current account, losing purchasing power in the face of inflation.
Dinamica Prolexis does not replace the user's professional activity: it organizes what is already saved, placing part of the liquidity in strategies with clear risk rules while the focus remains on the main work.
Active reservation between projects
Part of the available cash remains in low volatility strategies, with withdrawal rules compatible with the project receipt cycle.
Passive capital growth
Replicated strategies continue to operate regardless of the user's schedule, without the need for daily manual monitoring.
Distribution between multiple strategies
It is possible to allocate capital to more than one strategy simultaneously, reducing dependence on the performance of a single model.
Security and risk parameters
Recurring technical issues regarding capital custody, withdrawal liquidity and operational limits.
How is access to funds protected?
The connection to the user's broker is made via an API key with permission restricted to sending orders, without withdrawal authorization. Credentials are stored encrypted and are not shared with strategy managers, who only receive operating signals to be replicated.
Is there any blockage to withdrawing the allocated capital?
The capital remains with the user's own brokerage, not in custody of Dinamica Prolexis. Withdrawal liquidity follows the rules of the chosen broker; the platform only stops replicating new orders when deactivated.
How are risk limits defined per strategy?
Each strategy carries maximum exposure and drawdown stop parameters defined in the vetting stage. The user can reduce these limits before activating the replica, but cannot increase them beyond the strategy's original ceiling.
Is it possible to stop replicating a strategy at any time?
Yes. Deactivation prevents new mirror orders from being sent immediately; Positions already opened follow the exit rules previously configured by the user.
Optimize your capital with algorithmic precision
Configure risk limits, choose strategies vetted by consistent history and monitor the response in real time, without leaving your workflow as a freelancer.