Scrapushka Platform
Artificial intelligence to support your financial decisions
Analyse more than 500 trading pairs in real time with Scrapushka, a decision-support platform designed to transform market complexity into structured opportunities.
Explore the methodologyReal-time predictive analysis
An overview of the volatility indicators and confidence scores produced by our proprietary models.
| Asset | Confidence score | AI trend | Calculated risk |
|---|---|---|---|
| BTC / USDT | 78,4 | +2,1 % | Moderate |
| ETH / USDT | 71,2 | +1,4 % | Moderate |
| SOL / USDT | 54,9 | +0,2 % | High |
| XRP / USDT | 62,7 | -0,8 % | Moderate |
| ADA / USDT | 48,3 | -1,6 % | High |
The values shown are for illustrative purposes only and demonstrate the analysis engine’s output format. Actual scores may vary depending on market conditions at the time of calculation.
How the model structures its analysis
A three-step process turns large volumes of raw data into an actionable recommendation, with no manual input into the calculations.
Large-scale aggregation
Simultaneous data collection across 500+ trading pairs, including price, volume and liquidity feeds.
Algorithmic filtering
Removing market noise and detecting weak signals within the collected time series.
Decision support
Personalised recommendations generated according to your risk profile and portfolio constraints.
Risk management at the heart of the algorithm
Rather than relying on speculation, Scrapushka uses advanced correlation models to evaluate your portfolio’s exposure to systemic volatility before making any recommendation.
- Cross-correlation analysis across assets and asset classes
- Early identification of trend reversals
- Stress scenario modelling based on historical data
A structured approach designed for prudent investors
Scrapushka develops predictive models designed to reduce uncertainty, not to promise returns. Its aim is to provide a clear view of the tracked trading pairs, with confidence scores recalculated continuously.
Based in Mauritius, the trading platform is designed for investors who want to incorporate quantitative analysis into their decision-making process while retaining their own judgement.
Questions about the methodology
Clear explanations of how the analysis engine works, rather than promises of performance.
How does the AI respond to unexpected market movements?
Our models automatically recalibrate within milliseconds, incorporating liquidity data to reassess risk exposure.
Which data feeds are analysed?
We analyse order books, historical trading volumes and global macroeconomic indicators.