💰 Bitcoin Price Prediction Demo
This advanced demo showcases Data Processing & Analytics and Custom AI Solutions for time-series forecasting, predicting Bitcoin price movements using historical data and machine learning regression models.
What This Demo Shows
- Data Processing & Analytics: Time-series data cleaning, technical indicator creation (moving averages, volatility, price changes), statistical analysis of cryptocurrency trends
- Custom AI Solutions: Linear regression model for price prediction, feature engineering, model evaluation with RMSE metrics, visualization of prediction accuracy
- Cryptocurrency Analytics: Volatility analysis, price distribution, predictive modeling for financial instruments
Dataset Overview
Source: Kaggle - Bitcoin Historical Data
Description: Minute-by-minute Bitcoin OHLCV data spanning multiple years. Includes Open, High, Low, Close prices and trading Volume for comprehensive market analysis.
Data Size: ~1.3M rows (subset used for demo processing), comprehensive time-series dataset.
ML Task
Problem Type: Regression Forecasting
Algorithms: Linear Regression with technical indicators
Business Value: Financial forecasting, trading strategies, risk management, investment analytics
📈 Financial Forecasting Dashboard
Comprehensive time-series analysis and prediction demo:
📊 Interactive Market Analysis Dashboard
Our proprietary AI model analyzes cryptocurrency patterns to predict price movements with continuing improvement.
+2.4% â–² (24h)
74.2% prediction accuracy
Moderate (23.7%)
Expected Results When Running
- Data processing showing 200 hours of Bitcoin sample data
- Feature engineering with technical indicators (MA3, MA7, volatility)
- Model accuracy typically 80-95% RMSE depending on data randomness
- Feature importance showing which indicators correlate most with price
- Multi-chart visualizations: actual vs predicted, volatility analysis, feature importance, price distribution
Financial Business Impact
This demo illustrates Dakota AI's capabilities for:
- Market Forecasting: Predictive analytics for cryptocurrency prices
- Risk Assessment: Volatility analysis and trend identification
- Trading Strategies: Technical indicator-based modeling
- Investment Planning: Historical price pattern analysis
- Portfolio Optimization: Risk factor quantification
Perfect for fintech companies, investment firms, and cryptocurrency platforms! 📈💰