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Algorithmic capital management

Capital preservation with decisions guided by predictive analysis

Clara Rendomia applies statistical models and an intelligent stop-loss system to manage idle cash in small and medium-sized companies, prioritizing drawdown control over isolated return maximization.

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Risk Reassessment Continuous, for short cycles
Drawdown Limit Defined by customer profile
Protection Execution Automatic, no manual approval
The problem

The invisible cost of idle cash

A large part of the working capital of small and medium-sized companies remains in very low-remuneration accounts, waiting for an operational need that may not materialize in the short term.

The most obvious alternative — migrating part of that cash to higher-return investments — is usually avoided due to fear of exposure to abrupt market drops, especially when monitoring the portfolio depends on manual and specific decisions by the manager himself.

No algorithmic protectiongreater exposure to losses
With smart stop-losslosses limited by automatic rule

Simplified illustration of the difference in exposure to losses between a portfolio without automatic protection rules and a portfolio operated under pre-defined drawdown limits.

Clara Rendomia — team analyzing enterprise risk dashboards
How it works

Three components that underpin risk management

The system combines data reading, protection rules and continuous supervision, without relying on manual decisions isolated to each market movement.

01 — Predictive Analysis

Modeling market standards

The model analyzes historical series and real-time indicators to identify recurring patterns before they become visible trends. The output is a probability distribution, not a deterministic prediction, and it guides position sizing.

02 — Smart Stop-Loss

Volatility-Adjusted Loss Limit

Unlike a fixed stop-loss, the mechanism recalibrates the tolerated loss limit according to the asset's observed volatility, reducing premature exits in times of noise and accelerating exits when structural risk increases.

03 — Continuous Monitoring

Supervision without manual interval

Risk parameters are re-evaluated in short cycles. Any deviation from the defined risk policy is identified and handled by the system itself, without relying on sporadic manual checks.

Methodology

System operational logic

The flow below describes how allocated capital is managed, from data collection to enforcement of protection rules, with no manual decision steps in the middle of the process.

Step 01

Data Ingestion

The system collects quotes, macroeconomic indicators and liquidity data from multiple sources, normalizing them into a single basis before any analysis.

Step 02

Pattern Recognition

Statistical models compare the current behavior of assets with similar historical patterns, assigning probabilities to different short-term scenarios.

Step 03

Automated Execution

Allocation and protection decisions are executed according to predefined rules, eliminating delays and emotional bias typical of manual decisions under pressure.

Data transparency

How the system treats each risk metric

The table below describes the main parameters monitored by the system and the treatment applied to each of them, without replacing the details provided during the technical demonstration.

Metric What it measures How it is handled by the system
Maximum Drawdown Largest accumulated loss before recovery of allocated capital. Automatic stop-loss activation when reaching the limit defined for the client's profile.
Daily Volatility Dispersion of monitored asset prices throughout the day. Recalibration of the predictive model at each data reading window.
Exposure by Asset Proportion of capital allocated to each individual position. Concentration limits applied according to the contracted risk profile.
Response Time Interval between identifying a pattern and executing the corresponding action. Automated execution, without intermediate manual approval step.
Risk within the operational limit Risk under observation Risk above threshold — automatic action triggered
FAQ

Common questions about liquidity, security and integration

The answers below address the points most raised by businesspeople before evaluating an allocation. Specific questions about each company's case are addressed in the technical demonstration.

What is the deadline to redeem the allocated capital?

The redemption period depends on the asset class used in the strategy defined for the company's risk profile. Operations in more liquid assets are undone in shorter cycles; The deadlines applicable to each case are detailed during the technical demonstration, before any allocation.

How is company financial data protected?

Access to the panels is segmented by user profile and information travels encrypted. Data retention and processing policies follow the General Data Protection Law (LGPD).

Is it necessary to integrate the company's internal banking system with the platform?

No. Capital allocation occurs in specific accounts linked to the operation, which maintains the separation between day-to-day operational cash and capital allocated to the risk management strategy.

Who decides when a position is closed, the system or an analyst?

Closing positions follows automated stop-loss rules. An analyst can review parameters between reevaluation cycles, but does not interfere with the execution of an output already determined by the system, to preserve the consistency of the strategy.

Assess whether your idle cash has room for a strategy with controlled drawdown

The technical demonstration presents the risk parameters applicable to your company's size and profile, in addition to how smart stop-loss works in different market scenarios.

Analyze Feasibility Speak to the technical team
Data processing according to LGPD Risk parameters defined before allocation Periodic monitoring reports