Lokaty półroczne - a minimalist workstation with a view of the distant landscape

An AI-powered wallet in your pocket

While you change your location, the Lokaty półroczne algorithm continuously analyzes the market and optimizes your capital structure. Wallet setup takes less than 60 seconds and requires no spreadsheets.

Run portfolio analysis

Without installing additional software. Works from a browser, on any device.

Manual risk analysis does not scale with a mobile lifestyle

People working remotely typically manage finances between flights, time zone changes, and unstable internet access. In such conditions, daily viewing of spreadsheets and charts becomes a point at which investment decisions are made under time pressure and not based on complete data.

Lokaty półroczne brings this work to real-time predictive models. The system assesses portfolio risk in the background, regardless of whether the user logs in from Lisbon, Bali or Buenos Aires, and presents the result in a decision-ready form.

Sample risk allocation distribution generated by the predictive model on a weekly basis.

From connecting data to recommendations in three steps

01

Connect your data sources

You connect brokerage accounts, cryptocurrency wallets or trade files. The integration process is carried out through secure, one-time authorizations, without the need to manually enter history.

02

The AI algorithm processes the data

The neural network analyzes billions of market data points - rates, volumes, sentiment and correlations between asset classes - building an up-to-date picture of risk exposure.

03

Receive recommendations

The result of the analysis is sent to the panel in the form of specific indications: which items to reduce, which to increase and what is the estimated impact on the risk profile of the entire portfolio.

Analytical engine built to work on the move

Predictive models

The recommendations are not based on a single technical indicator, but on a set of models trained on historical and current data. Each model weighs a different time horizon, which reduces the risk of reaction to single, random price fluctuations.

3 risk modeling layers

Real-time risk management

The system recalculates the portfolio's exposure after each significant market change, not on a daily or weekly basis. Thanks to this, an alert about exceeding the defined risk level reaches the user before the loss deepens.

<1s exposure conversion time

Location-agnostic insight

The infrastructure is hosted in a distributed model, which means stable access to the panel regardless of the time zone. Calculations scale automatically with the size of the wallet, without additional configuration on the user's side.

24/7 panel availability

Transparency instead of unsubstantiated promises

Lokaty półroczne does not publish ready-made performance metrics without context because market performance depends on conditions that change from day to day. Instead, we provide a description of the data sources and logic behind the system so that the user understands what is behind each recommendation.

The input data comes from market quotations, macroeconomic reports and aggregated market sentiment analysis from publicly available information sources. The processing is done by neural networks trained to detect correlation patterns between asset classes, rather than to predict a specific price.

Lokaty półroczne - analytical dashboard used for remote work

An institutional-grade tool designed for remote work

Lokaty półroczne was created for people who manage capital without a permanent office and regular working hours. The dashboard is optimized for quick decisions - without unnecessary intermediate screens and without the need to interpret raw market data.

Each recommendation includes a short justification, thanks to which the user over time understands the logic of the model and not only performs the indicated actions.

Your decisions, empowered by AI

Configuring your first wallet takes less than 60 seconds and does not require a conversation with a consultant. Just connect your first data source to see your first risk analysis.