ClearTallish Platform
Artificial intelligence to support your financial decisions
Analyse over 500 trading pairs in real time with ClearTallish, a decision-support platform built to bring structure to complex markets and identify clearer opportunities.
Explore the methodologyReal-time predictive analysis
A concise 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 |
Figures are shown for illustrative purposes to demonstrate the analysis engine’s output format. Actual scores may vary depending on market conditions at the time of calculation.
How the model organises the analysis
In three clear stages, raw data is converted into a practical recommendation, with no manual involvement in the calculations.
Large-scale aggregation
Collects price, volume and liquidity data simultaneously from 500+ trading pairs.
Algorithmic filtering
Filtering market noise and identifying weak signals within the collected time-series data.
Decision support
Personalised recommendations tailored to your risk profile and portfolio constraints.
Risk management at the heart of the algorithm
Rather than relying on speculation, ClearTallish uses advanced correlation models to assess how exposed your portfolio is to market-wide volatility before making any recommendations.
- Cross-correlation analysis across assets and asset classes
- Identify trend reversals early
- Stress scenario modelling using historical data
A disciplined approach for careful investors
ClearTallish develops predictive models designed to reduce uncertainty, not to guarantee returns. Its aim is to give a clear view of the monitored trading pairs, with confidence scores recalculated in real time.
The platform is operated from outside the UK and is designed for investors who want to add quantitative analysis to their decision-making while retaining their own judgement.
Questions about our methodology
Clear explanations of how the analysis engine works, rather than promises about performance.
How does the AI respond to unexpected market movements?
Our models automatically adjust within milliseconds, using liquidity data to reassess risk exposure.
Which data feeds are analysed?
We analyse order books, historical trading volumes and global macroeconomic indicators.