Tabled Metrics Report AIZEN V0.1

We have provided a metrics summary table for Artificial Intelligence Trading Model Version: V0.1 | Prediction Horizon 72 hours, showcasing the initial performance of AIZEN

These results reflect the first iteration of our model and are part of an ongoing evaluation process. As AIZEN continues to evolve through continuous retraining and optimization, future versions are expected to deliver even greater accuracy and performance

Category	Metric	Value	Insights
Dataset Overview	Timeframe	Nov 2023 - Nov 2024	Covers 23,110 predictions over 13 months.
Prediction Accuracy	Perfect Accuracy Rate	49.79%	Nearly half of predictions hit target within a 3-day window.
Deviation Metrics	Average Deviation	9.34%	Indicates overall precision from close prices.
	Median Deviation	7.07%	Controlled variance with minimal impact from outliers.
Monthly Performance	Best Month	March 2024: 68.93% Accuracy	Demonstrates model’s capability in optimal conditions.
	Challenging Month	May 2024: 37.11% Accuracy	Baseline performance in adverse market conditions.
Consistency	Success Rate Range	37%-69%	Maintained accuracy across all months.
Deviation Range	Median Deviation (Min-Max)	5.38% (Oct 2024) - 10.18% (Apr 2024)	Reflects variability under different market conditions.
Temporal Analysis	Strong Periods	Dec 2023, Mar 2024	High accuracy rates and controlled deviations.
	Challenging Periods	Apr 2024, May 2024	Higher deviations but sustained moderate accuracy.
Risk Metrics	Mean-Median Deviation Spread	~2.27%	Well-managed outliers across predictions.
	Sharpe Ratio	>3.0 (based on risk-adjusted returns)	Demonstrates strong risk management capabilities.
Trading Implications	Stop-Loss Sizing	~7.07% (median deviation)	Useful for conservative trading strategies.
	Volatility Adjustment	Apr-May periods	Adjust risk exposure during high-deviation months.
	Strategy Optimization	Peak Months: Dec, Mar	Leverage high-performing months for increased exposure.
Investment Use Cases	Systematic Trading	Suitable for short-term strategies	High accuracy over 3-day prediction horizons.
	Portfolio Allocation	Based on median deviation metrics	Adjust position sizing using historical patterns.
Model Strengths	Adaptability	Resilient in volatile markets	Sustained accuracy and controlled deviations in diverse conditions.
	Predictive Precision	49.79% Perfect Hits; 9.34% Avg Dev	Balances high hit rates with low deviation.
	Market Cycles Performance	Bullish & Bearish	Reliable across various market trends.

Figures (Highlights)

1. March 2024 Performance:

   • Accuracy: 68.93%

   • Avg Deviation: 9.74%

   • Median Deviation: 7.68%

2. Baseline Resilience in May 2024:

   • Accuracy: 37.11%

   • Avg Deviation: 9.94%

   • Median Deviation: 7.33%

Conclusion:

The AIZEN Crypto Price Prediction Model is a robust and reliable trading tool that offers high accuracy, exceptional risk management, and adaptability to market conditions. It is especially effective for systematic trading, institutional strategies, and professional portfolio management when paired with optimized risk controls.