Data-driven growth
Elqaspyn Fruneko combines machine learning models with real-time data from multiple exchanges in one unified analysis. The system continuously monitors market positions and flags risk before it affects the portfolio's value, regardless of where the capital is placed.
Centralized overview
Fragmented analysis is a common source of error for freelancers managing capital on their own. Elqaspyn Fruneko normalizes data streams from different exchanges into one common format, so that positions, liquidity and risk can be assessed together instead of in separate tabs.
| Stock exchange | Active | Price (NOK) | 24 hour change | Risk score |
|---|---|---|---|---|
| Børs A | BTC/NOK | 612 340 | +1.2% | Low |
| Børs B | ETH/NOK | 29,810 | -0.8% | Moderate |
| Børs C | SUN/NOK | 1 940 | +3.4% | Moderate |
| Børs A | USDT/NOK | 10.72 | +0.1% | Low |
Price data, order depth and trading volume are collected in parallel from several exchanges and synchronized to one timeline.
Risk scores are calculated using the same model regardless of stock exchange, so that exposure can be compared directly above.
One overview replaces the need to log in to multiple platforms to assess overall exposure.
Methodology
Elqaspyn Fruneko is built on structured statistical methodology, not discretionary assumptions. The aim is to reduce the element of emotional decisions in portfolio management.
Data from connected stock exchanges is collected at fixed intervals and normalized to a common form before further calculation.
Price movement probabilities are updated continuously as new market information becomes available, rather than being based on static historical averages.
The model identifies recurring structures in volatility and liquidity that have historically been associated with increased risk.
The results are translated into a running risk score per position, available directly in the overall dashboard.
Practical application
Freelancers with capital placed between projects often do not have time to monitor the market continuously, and steep drops can go unnoticed for several hours.
The risk score is updated in real time and alerts when the volatility in a position exceeds a defined threshold, so that capital can be redeployed earlier.
Manual rebalancing requires repeated calculations and monitoring of several positions at the same time, which is time-consuming in addition to commissioned work.
The dashboard shows deviations from target weighting per asset class, and suggests adjustments based on updated market data from all connected exchanges.
Low liquidity on some exchanges can make it expensive to liquidate a position quickly, which is often not visible until the trade has been completed.
Order depth and trading volume are compared across exchanges before a position is opened, so that the choice of trading venue can be made with known slippage risk.
Security and integrity
Access to financial data requires a strict security design. Elqaspyn Fruneko is built so that the platform never gets the authority to move capital on its own behalf.
Connections to exchanges are configured with read-only API keys. The platform can read positions and market data, but cannot perform withdrawals or transfers.
Data is encrypted during transmission and in the stored state. API keys are stored separately from analysis data and are rotated at set intervals.
Incoming data from each exchange is validated against expected formats before it is included in the risk calculation, so that deviating or delayed data does not affect the result undetected.
Each calculation can be traced back to the data source and model version used, providing verifiability when reviewing previous analyses.
Connect to your exchange accounts with read-only access and see an overall risk assessment of existing positions. No capital is moved by the platform at any time.
