Sij Donosnik monitors real-time market data and uses a smart stop-loss system to limit your crypto portfolio's exposure during sudden market drops.
Get started with a free analysisSij Donosnik processes large amounts of market data — prices, trading volume, and volatility — even before a change reaches your portfolio. Algorithmic trading on this basis does not wait for trend confirmation, but detects early signals of volatility.
Advanced analytics act as a constant filter between the market and your decision. The system does not predict the future with certainty, but rather calculates the probability of movements and adjusts the exposure before the risk materializes.
The stop threshold dynamically adjusts to the asset's volatility, which reduces the maximum drawdown compared to fixed stop-loss limits.
Risk and exposure data are updated on the fly, allowing action to be taken before the end of the trading day, not after.
The system processes the same logic regardless of the size of the portfolio, so it works equally reliably for smaller and institutional positions.
Each decision follows four verifiable steps that remove the emotional component from the investment process.
Aggregation of price, volume and liquidity data from several sources into a single database.
Forecasting models estimate the likelihood of changes in volatility based on historical and ongoing patterns.
The system calculates the exposure of the portfolio and determines whether a position adjustment is required.
The recommendation is forwarded to the user or triggers the adjustment of the stop-loss limit, without emotional decision-making.
The data shows the difference in response between the static stop loss limit and the dynamic Sij Donosnik model.
| Metric | Traditional stop-loss | Sij Donosnik |
|---|---|---|
| Maximum decline | Fixed limit, no volatility adjustment | Dynamic limit adapted to market conditions |
| Response speed | It is triggered only when the price is reached | Detects early signals before the price is reached |
| Volatility adjustment | It does not adapt to changes in market conditions | Real-time conversion based on volatility |
The comparison is based on the structural difference between static rules and a model that adapts to ongoing market data. Results will vary depending on the selected asset and risk settings.
Sij Donosnik was created for investors who want to participate in decision-making, rather than leave control to a fully automated system. Recommendations are always explained with the data base on which they are based.
Read more about the platformPortfolio data is transmitted over an encrypted connection, and access to exchange accounts is exclusively through API keys with limited rights, without the possibility of withdrawing funds.
The platform connects to the exchange via a user API key. Information about the status of the portfolio is read on the fly, and the implementation of recommendations depends on the permissions set by the user himself.
The model evaluates the volatility and liquidity of the asset and, on this basis, proposes the adjustment of the stop-loss limit. Each recommendation is accompanied by an explanation of the factors that influenced the decision.
A smart stop-loss system works continuously in the background to limit portfolio exposure before market conditions deteriorate. The implementation decision always remains on your side.