Dark-tone panel visual representing Berrak Verımce real-time data stream and risk indicators
System Status: Active Data stream real-time

Utilize your capital between projects without leaving it idle

Berrak Verımce uses a model that learns your risk tolerance from your payment and spending behavior over time. The model automatically rebalances positions when market volatility increases and prioritizes liquidity when a new project payment is expected.

Data Processing Layer

With what data does the model make its decision?

The platform creates a risk profile by periodically processing your account movements and the market indicators you choose. This profile is not static; As new data arrives, the forecast model is updated and position sizes are narrowed accordingly during periods of volatility.

  • Data sourceAccount transactions, market indicators
  • Update frequencyDuring the day, uninterrupted
  • Model typeForecasting + risk classification
  • Average transaction latencyIn millisecond level
Model Behavior — Volatility Scenarios
Market ConditionModel Response
low volatilityStandard distribution is preserved
Medium volatilityRisky positions are gradually reduced
high volatilityTransition to liquid instruments is prioritized
Image showing the data processing process of the Berrak Verımce analysis interface
Automatic Distribution

Management adapted to the freelance cycle

For a profile that does not receive a regular salary, the liquidity need is not constant. The model takes into account the uncertainty in your project schedule and shapes deployment decisions accordingly.

Risk Tolerance Module

Behavioral risk profile

A risk tolerance score derived from your past trading and withdrawal behavior is used as a reference for each rebalancing. The score is not just a manual setting; is updated over time.

Automatic Risk Balancing

Rebalancing logic

When the portfolio distribution falls outside the specified thresholds, it is rebalanced without waiting for manual confirmation. Threshold values ​​are fed from the risk tolerance module.

Liquidity Optimization

Liquidity sensitive to project range

The share of cash equivalent instruments is gradually increased before an upcoming payment period. This way, capital remains accessible during inter-project periods.

methodology

Three steps of Berrak Verimce algorithm

The platform describes the process rather than the outcome. The following steps are executed in the same order in each decision cycle.

01

data collection

Account movements and selected market indicators are collected at regular intervals and converted into a standard format.

02

Neural risk assessment

The collected data is processed through a model that evaluates risk tolerance and market conditions together and produces a risk score.

03

Execution logic

The risk score generated is matched with predefined rules and rebalancing or liquidity adjustment actions are automatically triggered.

Dashboard Preview

What data do you see on the panel?

The following modules are a structural preview of the components included in the live panel; The values ​​shown are in sample format.

Real Time Streaming

Example View

For demonstration purposes only; actual values ​​are specific to your account.

Risk Score

Scale: 0–100
050100

The location is exemplary; The score varies depending on the risk tolerance module.

Productivity Metrics

Sample Format
metricValue
Rebalance frequency—
liquidity ratio—
Model update delay—
Frequently Asked Questions

Security and integration questions

How is my data stored and protected?

Account transaction data is encrypted before processing and only the fields required by the risk model are used. Raw data is not shared with third parties.

How do I link my existing accounts to the platform

The connection is established via authorized data sharing protocols. Once the integration is complete, the model creates an initial risk profile by analyzing past movements.

What does the model do in sudden market movements?

When the volatility threshold is exceeded, the model narrows positions within the framework of predefined rules and prioritizes the transition to liquid instruments. This process is carried out automatically without waiting for user confirmation.

How does the fee structure work?

Fees are calculated based on managed balance and transaction volume. Current fee items are also displayed during the account creation process.

The infrastructure is ready for data-based growth decisions

Connect your account, the model produces your initial risk profile and the rebalancing process for your capital between projects begins.