Bystrostřád – a working environment for the analysis of company liquidity

Predictive analysis of free liquidity for small and medium-sized companies

Bystrostřád processes real-time market data and suggests excess capital placement scenarios. The final decision is always yours, with no commission per trade.

0% transaction fees Real time data Recommendations, not commands

Illustrative preview of the Bystrostřád workspace for monitoring liquidity and valuation scenarios.

Free liquidity without analysis loses value gradually, not all at once

Small and medium-sized companies in the Czech Republic usually keep a reserve on their current account as a precaution. The problem arises when this reserve exceeds the operational need and remains without any appreciation.

  • Money in a current account does not react to changes in market conditions.
  • Manually comparing bids and scenarios in spreadsheets takes hours a week.
  • Capital appreciation decisions are often delayed because there is no time for analysis.
  • Part of the revenue is lost in brokerage fees without producing comparable value.

Typical sources of inefficiency

AreaImpact on yield
Unused current account balanceTall
Manual tracking of market dataMedium
Delayed decision makingMedium
Fees of traditional intermediariesTall

Qualitative estimate based on the typical operation of a small and medium-sized company. The specific impact varies by industry and the amount of reserves.

Zero transaction fees. Transparent, not hidden model.

The revenue that the platform identifies remains with the company in full. The cost of running Bystrostřád does not depend on how many trades you execute.

01

0% store fees

You pay no commission for buying or selling within the platform. The revenue identified by the model remains with the company without deduction.

02

AI as an analytical tool

The model evaluates scenarios and ranks them according to risk and horizon. The decision on implementation is always made by the responsible person in the company.

03

Real time data

Input data is updated continuously as market conditions change, not once a day in a batch.

04

Risk management at the portfolio level

Recommendations take into account exposure to individual instruments, not just the isolated return of a single position.

Technical note: The model works with publicly available market data and internal parameters of the company — amount of reserve, horizon and risk tolerance. The calculation is done on the server side and the result is a list of scenarios ordered by the ratio of expected return to risk, not a single "correct" recommendation.

How the model arrives at the recommendation

Each step of the process is traceable, including input data and weights of individual factors.

  1. Data collection

    The model loads market data and company liquidity parameters — volume, maturity, risk tolerance.

  2. Normalization

    The data is cleaned of duplicates and aligned into a uniform structure for comparison across tools.

  3. Scenario generation

    The algorithm will compile variants of capital placement with a different ratio of return and risk.

  4. Explanation

    For each scenario, the main factors that led to it are displayed — not just the resulting number.

  5. The decision

    The company approves the scenario, adjusts the parameters, or rejects it. The model itself does nothing.

Algorithm transparency

The model does not work as a black box. Each recommendation is accompanied by an overview of the input factors and their weighting so that the decision can be explained in retrospect — to colleagues, the auditor and to yourself.

Data security

Communication between the user interface and the Bystrostřád servers is encrypted. Only an authorized user account has access to company data; the model itself is not authorized to enter payment orders.

Three typical situations that companies come up with

Entrance

A company with seasonal sales registers a surplus of capital for 2-4 months of the year, the rest of the year, on the contrary, capital is lacking.

Model output

Draft short-term, highly liquid instruments so that capital is available before the start of the next season.

The horizon1-4 months
PriorityLiquidity
Risk levelLow
Entrance

The company keeps an operating reserve beyond normal needs for several months without a specific utilization plan.

Model output

Division of the reserve into a part intended for immediate drawdown and a part with a slightly longer investment horizon.

The horizon3-12 months
PriorityReturn/risk balance
Risk levelLow to medium
Entrance

The company keeps part of the profit in one account for a long time and wants to reduce dependence on a single type of instrument.

Model output

Design of distribution across multiple asset classes according to the specified risk tolerance and horizon of the company.

The horizon12 months or more
PriorityDiversification
Risk levelOptional — low to high

The most frequent technical and financial questions

How does Bystrostřád earn if it doesn't charge per trade?

The operation of the platform is financed by a monthly access fee, independent of the volume or frequency of trades. As a result, we have no incentive to recommend more transactions than are actually needed.

Is the model recommendation binding?

No. The model suggests scenarios and explains their logic. The implementation, modification or rejection of the scenario is always carried out by the responsible person in the company.

How is company data protected?

Data is transmitted encrypted and is only available from an authorized user account. The platform can be connected to accounting and banking systems only in read mode, without authorization for payment orders.

Can the model guarantee a specific return?

No. The return on financial instruments depends on market conditions and cannot be guaranteed in advance. The model works with probabilistic scenarios, not certainty of outcome.

Can the platform be connected to existing bank accounts?

Yes, through standard interfaces for reading balances and transaction history. The model subsequently works with the current state of liquidity without the need for manual data entry.

Find out what scenarios the model will suggest for your current liquidity.

Analyze capital

Investing in financial instruments carries risk, including the possible loss of part of the invested capital. Neither past nor modeled scenarios guarantee future returns. Bystrostřád provides analytical tools, not individual investment advice.