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Visual representing the data analysis and risk management processes of the LexFund platform
Data-driven decision support for SMEs

Evaluate your working capital with data-driven analysis and keep risk under control

LexFund analyzes your idle business cash with artificial intelligence-supported models and automatically determines a protection threshold for each position. The goal is not quick gain, but measurable and capital growth under limited risk.

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real timeMarket data processing and signal generation
automatic protectionIntelligent stop-loss threshold for each position
transparent methodologyModels tested on historical data
due diligence

Most business cash passively erodes in the face of inflation

Return rates below deposit interest and fluctuating market conditions leave SME owners between two options: keeping cash idle or entering the market without being able to manage risk.

Source of the problem

Many small businesses avoid investing their funds in order to preserve cash flow. However, immobile capital loses real value in the face of inflation, and this loss is often not noticed.

LexFund's approach

The platform allows you to evaluate your capital within limited and defined risk ranges with data-driven models, instead of risking it completely. Each position is supported by a protection mechanism determined before entry.

% threshold

The maximum loss limit defined for each transaction is automatically applied within the range recommended by the model according to market conditions. This number is not a fixed promise, but a dynamic risk parameter.

basic mechanism

Smart stop-loss: Automatic security layer that protects your business liquidity

The Smart Stop-Loss system is a dynamic hedge threshold that readjusts itself according to market volatility. Rather than a fixed percentage, it adapts based on the model's current risk reading.

1
Volatility measurement The model constantly monitors the current price fluctuation range of the relevant asset.
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2
Threshold calculation Volatility data is combined with the accepted risk profile to produce a dynamic stop level.
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3
automatic application Once the threshold is exceeded, the position is closed or reduced without waiting for manual intervention.

Safety is a priority, not speed

LexFund design philosophy is simple: Preserve capital first, think about growth second. Therefore, the system is optimized for limiting decline rather than aggressive earnings expectation.

Smart stop loss is not a single fixed percentage. The model narrows the threshold when market conditions calm down; When volatility increases, it expands the threshold within a reasonable range to prevent sudden and false triggers.

The purpose of this approach is to prevent the business owner from experiencing a loss large enough to affect daily operational cash needs.

Process

The integration and analysis cycle consists of three steps

The system works continuously and automatically from the moment of installation. The business owner's daily monitoring consists of reviewing periodic reports.

Step 01

data collection

The platform collects and clears relevant market data, price movements and trading volume indicators in real time.

Step 02

Predictive modeling

The collected data is passed through models trained on past price behavior and possible scenarios and risk ranges are calculated.

Step 03

automatic protection

Position size and stop-loss threshold are determined according to the model output; When the threshold is exceeded, the protection mechanism is activated.

transparency

Reliability of models comes from the method, not the claims

LexFund relies on the explainability of the method used, not on references, to establish trust.

Data security standards

User and transaction data are transmitted via encrypted channels; access is restricted to authorized system components.

Backtesting discipline

Before going live, models are tested on historical data from different market periods and their performance is documented.

Real-time analysis capacity

By constantly processing market data, the system keeps risk parameters up to date and reduces the risk of delayed decisions.

Our approach

The decision mechanism is not independent of human control

Although LexFund models operate automatically, risk parameters and threshold settings are determined within limits approved by the business owner. Suggests models and implements systems; The final risk tolerance is defined by the user.

This structure aims to enable SME owners to follow the process with understandable reports without requiring technical knowledge.

Visual showing the LexFund team's data analysis and risk modeling work
Frequently asked questions

SME owners' questions about liquidity and risk decisions

Can I withdraw my capital at any time?

Yes. LexFund is not a structure that locks funds. You can close positions and access your cash according to your liquidity needs; however, closing of open positions is subject to the current market price.

By whom and how is the risk threshold determined?

The risk threshold is a combination of the model recommendation and the maximum loss tolerance the user accepts. The user predefines this tolerance and the system automatically operates within this limit.

Is integration required with my existing accounting or banking system?

No, it is not mandatory. LexFund operates as a standalone analysis and processing layer; If you want, you can compare it with your existing financial records for reporting purposes.

Start analysis to see how your capital is valued

The first step is not a commitment, but an evaluation. A model framework suitable for your business's risk tolerance and cash flow structure is examined together.

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Investment and commercial transactions involve risk. Past performance or backtesting results are not a guarantee of future results. LexFund does not completely eliminate the risk of capital loss; Its aim is to keep this risk within measurable and controllable limits.