Real-time predictive model for Shiba Inu (SHIB) price
-Data-driven projection using market information: Random Walk with drift (log), Theil–Sen and Holt (log), temporal validation and 68% / 95% confidence bands (educational use only).
This interactive model analyzes the real-time price behavior of Shiba Inu (SHIB) using mathematical and statistical techniques. It does not predict, guarantee, or guess future prices. Instead, it creates short-term projections based on historical data, volatility patterns, and statistical consistency to help users better understand how quantitative models interpret crypto market dynamics.
Key Benefits
- Educational Insight: Learn how mathematical forecasting works in financial markets through a transparent and interactive tool.
- Risk Awareness: Understand the uncertainty behind each projection using 68% and 95% confidence intervals.
- Data-Driven Thinking: Discover how objective models differ from emotional or speculative trading decisions.
- Market Monitoring: Observe how Shiba Inu reacts to market shifts, identifying volatility and trend changes in real time.
- Non-Financial Use: This tool is designed for education and research only, not for trading or investment recommendations.
Mathematical
The projection combines several time-series forecasting techniques:
- Random Walk with Drift: Models price as a stochastic process with a directional tendency, helping visualize long-term momentum.
- Theil–Sen Estimator: A robust regression method that minimizes the influence of outliers and sudden volatility spikes.
- Holt’s Exponential Smoothing (log): Captures trend and level adjustments on a logarithmic scale for more stable projections.
- Temporal Validation: Continuously compares forecasts with actual market data to measure accuracy and improve reliability.
These components together form an analytical tool — not a fortune teller — that promotes rational understanding of crypto price behavior and the mathematics behind financial forecasting.
Legal Disclaimer
This application does not predict, guarantee, or foresee future cryptocurrency prices. All results and visualizations are generated using public market data for educational and research purposes only. The developers and contributors are not responsible for any financial loss, investment decision, or trading activity made based on this tool. Always conduct your own research and consult a qualified financial advisor before making investment decisions.
The ensemble blends complementary models and validates on recent history, exposing a balanced projection with 68% and 95% confidence bands.
Result
Projected price (median): -
CI 68%: -
CI 95%: -
Bands based on a GBM hypothesis on log returns.
Backtest (temporal validation)
RMSE (ensemble): -
MAPE (ensemble): -
Theil U (vs naive RW): -
Per-model details
RWD (mu, sigma): -
Theil–Sen: -
Holt (log): -