Alesha Scrap Platform
Artificial intelligence to support your financial decisions
Analyse over 500 trading pairs in real time with Alesha Scrap, a decision-support platform built to turn market complexity into clear, structured opportunities.
Explore the methodologyReal-time predictive analysis
A summary 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 indicate the format of the analysis engine’s output. Actual scores will vary depending on market conditions at the time of calculation.
How the model organises the analysis
In three clear stages, raw data is turned into a practical recommendation, with the calculations handled automatically throughout.
Large-scale aggregation
Simultaneous data collection across 500+ trading pairs, including price, volume and liquidity feeds.
Algorithmic filtering
Filtering out market noise and identifying weak signals in the collected time-series data.
Decision support
Personalised recommendations tailored to your risk profile and portfolio constraints.
Risk management built into the algorithm
Rather than relying on speculation, Alesha Scrap uses advanced correlation models to assess how exposed your portfolio is to systemic volatility before making any recommendation.
- Cross-correlation analysis across assets and asset classes
- Identify trend reversals early
- Stress scenario modelling using historical data
A disciplined approach for discerning investors
Alesha Scrap develops predictive models designed to help reduce uncertainty, not to guarantee returns. Its aim is to give a clear view of the trading pairs being tracked, with confidence scores updated continuously.
The platform is operated from an overseas jurisdiction and is designed for investors who want to incorporate quantitative analysis into their decision-making while retaining their own judgement.
Questions about our methodology
Clear explanations of how the analysis engine works, not promises about performance.
How does the AI respond to unexpected market movements?
Our models adjust automatically, factoring in liquidity data within milliseconds to reassess risk exposure.
What data feeds are analysed?
We analyse order books, historical trading volumes and global macroeconomic indicators.