Predictive analytics for corporate liquidity
NelkandruvoETH combines AI-powered market analysis with structured risk management to enable entrepreneurs to make informed cash decisions – backed by daily reports rather than gut feeling.
Request analysisAbstracted representation of data streams and model weighting – no real portfolio.
Initial situation
Many small and medium-sized companies keep liquidity reserves in current accounts in order to remain able to act in the short term. This is understandable, but in practice it often means that capital remains unused for months, while real-time market data shows opportunities and risks that are difficult to evaluate without appropriate analysis tools.
The complexity of modern market data often exceeds the capacity of classic accounting or treasury processes. As a result, decisions are delayed or avoided altogether - not because of a lack of capital, but because of a lack of reliable, understandable evaluation.
Technology
Three components form the technical foundation: data processing, modeling and risk control. Each component is independently traceable and documented in the daily report.
The system processes structured and unstructured market data in real time and consolidates it into a unified data model. This creates a basis that can be evaluated independently of individual news sources or short-term swings.
Instead of issuing a single forecast, the model calculates multiple scenarios with different probability weights. This range makes uncertainty visible rather than masking it – a prerequisite for realistic expectations.
Position sizes, holding periods and hedging mechanisms are subject to fixed rules that apply independently of the model forecast. This separation prevents a single signal from determining the entire capital base.
Core feature
Transparency does not come about through promises, but rather through frequency and traceability. Each report shows what positions exist, what assumptions underlie them and how the risk has developed.
After trading closes, the position overview is created automatically and compared with the previous day's values.
Each position is checked against the established risk limits before the report is released.
The report is sent to the entrepreneur in a fixed, readable format - without any technical jargon that requires queries.
Procedure
Trust comes from repeatability. The following process describes how raw data becomes a decision - regardless of the market environment.
Market, volume and volatility data is continuously recorded and cleaned.
Several forecast models are calculated in parallel and checked for consistency.
Only scenarios within defined risk limits are shortlisted.
The chosen position is documented and disclosed in the report the following day.
Capital preservation takes priority over short-term return maximization. This means that individual positions remain deliberately limited, even if a model would suggest a higher weighting. This limitation is not explained later, but is an integral part of the regulations.
background
NelkandruvoETH was designed for managers and professional investors who do not want to leave liquid assets unused, but rely on comprehensible justifications before taking action. The platform provides this justification in the form of daily, structured reports rather than one-off forecasts.
The focus is on the separation of analysis and decision: The system provides data and risk indicators, the decision about the use of capital remains with the entrepreneur.
Frequently asked questions
Capital allocation is separate from operational accounts. Entrepreneurs define in advance what proportion of liquid assets will be released for analysis and implementation; the remaining amount remains untouched and available at any time.
Access data and reports are only transmitted via encrypted connections. Company-related data will not be passed on to third parties and will only be used to create our own reports.
The liquidity structure is designed in such a way that positions can be liquidated within short, predetermined deadlines. The exact deadlines depend on the chosen asset class and are determined together before the start.
Classic excerpts usually only show the current status. The reports from NelkandruvoETH also contain the underlying risk indicators and a brief classification of market movements so that decisions remain comprehensible.
The approach is aimed at small and medium-sized companies with structured liquidity reserves as well as professional investors who value daily transparency rather than blanket management.
An initial analysis shows how much of your current capital remains unused and what conditions would favor structured use.