AI-Powered Cryptocurrency Analysis

Probabilistic Crypto Forecasts with
Machine Learning

Advanced ML models analyze market patterns and provide expected-value forecasts with uncertainty ranges for Bitcoin, Ethereum, and other cryptocurrencies. Explore probabilistic estimates and historical model performance.

Analytical Tools for Informed Decisions

Explore probabilistic forecasts and understand model uncertainty for cryptocurrency markets

Probabilistic Forecasts
LightGBM machine learning models trained on historical market data provide expected-value estimates with uncertainty ranges for multiple time horizons.
Multi-Horizon Analysis
Explore forecasts for hourly, daily, and weekly intervals. Each horizon is predicted independently based on the latest available data.
Interactive Charts
Visualize price movements, expected ranges, and historical data with interactive charts that update in real-time.
Performance Tracking
Monitor historical model performance with transparent error metrics. See how past forecasts compared to actual market outcomes.
Real-Time Updates
Forecasts are continuously updated as new market data arrives. View the latest probabilistic estimates for each token.
Multiple Cryptocurrencies
Analyze Bitcoin, Ethereum, and other major cryptocurrencies. Each token has its own dedicated model trained on its specific market patterns.

How It Works

Our machine learning pipeline transforms market data into probabilistic forecasts with uncertainty estimates

1. Data Collection

Real-time market data is collected from exchanges, including OHLCV candles, volume, and technical indicators.

2. Model Processing

LightGBM models analyze patterns and generate probabilistic forecasts using gradient boosting on engineered features from historical data.

3. Visualization

Forecasts are displayed with expected ranges, error metrics, and historical model performance for transparent analysis.

Built for Traders
BlockTix combines cutting-edge machine learning with intuitive design to help you make better trading decisions. Our models are continuously trained on the latest market data, ensuring predictions stay relevant as markets evolve.

Time-Series Split Training

Models use strict chronological splits (70% train, 15% validation, 15% test) to prevent data leakage and ensure realistic performance.

Multi-Step Forecasting

Direct multi-step forecasting provides predictions for multiple future horizons, giving you visibility into short and long-term trends.

Ready to Explore?

Join BlockTix today and explore probabilistic cryptocurrency forecasts, interactive charts, and transparent model performance metrics.