Jak Figiri Lemalu nakládá s mými daty?

Veškerá data o vašich transakcích a rozhodnutích jsou uložena v šifrované podobě a používají se výhradně pro trénování vašeho individuálního rizikového profilu. Data se nesdílí s třetími stranami za účelem reklamy ani se neprodávají.

Lze platformu napojit na existující brokerský účet?

Platforma pracuje s doporučeními, která si uživatel potvrzuje manuálně nebo přes podporované API připojení k vybraným brokerským účtům. Automatická exekuce bez potvrzení uživatele není ve výchozím nastavení aktivní.

Mohu si upravit míru rizika, kterou model navrhuje?

Ano. Výchozí profil rizika se učí automaticky z vašeho chování, ale lze jej kdykoliv manuálně omezit nastavením horní hranice expozice. Model tuto hranici respektuje při všech dalších doporučeních.

Figiri Lemalu – analytical environment for optimizing investment decisions

Optimized AI-driven decision making

Optimize your investment decisions with artificial intelligence

Figiri Lemalu analyzes real-time market data and tailors recommendations to your risk tolerance. It was created for people with irregular income from the gig economy who want to build a stable additional income in addition to their main job without having to monitor the market every hour.

Analyze your data How it works

The visualization shows the flow of data between market sources and the decision-making core of the platform - from data reception to specific recommendations.

The problem

Manually monitoring the market does not suit the irregular work rhythm

Asset prices, interest rates and macroeconomic news change in minutes. For a person who, in addition to his main job, makes extra money by investing, it is practically impossible to keep track of all relevant sources and at the same time react quickly enough. The result is decisions based on incomplete information or a delayed reaction to changing conditions.

The solution

Figiri Lemalu converts the volume of data into specific recommendations

The platform continuously processes market data and evaluates it according to patterns learned from your past decision making. It doesn't offer generic signals - it works with your specific risk tolerance and available capital, so recommendations are tailored to your situation, not the average user.

Resulting effect: less screen time, decisions backed by up-to-date data and clearly reasoned recommendations that you can review at any time.

How the platform decides

Adaptive risk as the basis of the whole system

Figiri Lemalu does not use one universal model for all users. The three layers of the system – analysis, customization and execution – communicate with each other continuously and react to new information within seconds.

Predictive analytics

Real-time data analysis

The system collects price data, trade volumes and selected macroeconomic indicators from publicly available sources. Predictive models derive short- and medium-term trends from them and constantly update their estimate of likely developments.

Adaptive risk

Risk tailored to your behavior

The machine learning module evaluates your previous decisions – how you react to fluctuations, which positions you hold longer, where you retreat. Based on this, it adjusts the recommended risk level for each subsequent proposal without you manually setting anything.

Execution

Automated recommendations for implementation

Once the model identifies an opportunity that matches your profile, the system prepares a specific move – including a recommended position size and risk limit. The final decision on implementation rests with you; the platform never trades without your confirmation.

Transparent process

Three steps from data to recommendations

No step in this process is hidden. Each recommendation can be traced back to the data and logic from which it arose.

Data reception

The platform collects market data from multiple sources and checks it for consistency before entering further processing.

Refinement by model

Predictive models compare the current situation with historical patterns and take into account your individual risk profile.

Delivery of referrals

The resulting recommendation is displayed with an explanation of the reasons and a level of risk so that you can assess the decision, not just accept it.

Practical use

How Figiri Lemalu helps in practice

Three typical situations that users of the platform encounter most often.

Additional income during irregular work

For the self-employed and platform workers with variable monthly income, the system suggests more conservative positions in periods of lower liquidity and, conversely, a more open approach in more stable months.

Protection against fluctuations

In case of increased market volatility, the model automatically reduces the recommended exposure and warns of positions where the risk currently exceeds the set limit.

Portfolio optimization

For larger portfolios, the system identifies the concentration of risk in individual sectors and suggests adjustments aimed at a more even distribution.

About the platform

A tool designed for consistent, not ad hoc, decision making

Figiri Lemalu was not created as a set of general market signals. The goal is to provide time-strapped users with a clear, data-driven basis for decision-making—without the need to become a market analyst.

The system relies on continuous evaluation of its own recommendations and their feedback, thanks to which the model adapts over time to a specific user, not to the market average.

Figiri Lemalu – work environment with analytical data for investment decision-making

Frequently asked questions

Security and Platform Settings

How does Figiri Lemalu handle my data?

All data about your transactions and decisions is stored in encrypted form and is used exclusively for training your individual risk profile. Data is not shared with third parties for advertising or sold.

Can the platform be connected to an existing brokerage account?

The platform works with recommendations that the user confirms manually or via a supported API connection to selected brokerage accounts. Automatic execution without user confirmation is disabled by default.

Can I adjust the risk level that the model suggests?

Yes. The default risk profile is learned automatically from your behavior, but can be manually limited at any time by setting an upper exposure limit. The model respects this limit for all other recommendations.