PYTH PYTH / ACM Crypto vs NANO NANO / ACM Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / ACMNANO / ACM
📈 Performance Metrics
Start Price 0.260.55
End Price 0.171.76
Price Change % -35.05%+217.19%
Period High 0.291.88
Period Low 0.110.55
Price Range % 172.3%240.2%
🏆 All-Time Records
All-Time High 0.291.88
Days Since ATH 322 days2 days
Distance From ATH % -41.1%-6.2%
All-Time Low 0.110.55
Distance From ATL % +60.4%+219.0%
New ATHs Hit 4 times23 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.46%3.52%
Biggest Jump (1 Day) % +0.12+0.45
Biggest Drop (1 Day) % -0.05-0.27
Days Above Avg % 43.9%47.1%
Extreme Moves days 6 (1.7%)20 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%51.6%
Recent Momentum (10-day) % -6.93%+54.53%
📊 Statistical Measures
Average Price 0.181.03
Median Price 0.181.01
Price Std Deviation 0.040.18
🚀 Returns & Growth
CAGR % -36.82%+241.57%
Annualized Return % -36.82%+241.57%
Total Return % -35.05%+217.19%
⚠️ Risk & Volatility
Daily Volatility % 7.03%5.41%
Annualized Volatility % 134.40%103.34%
Max Drawdown % -63.27%-46.35%
Sharpe Ratio 0.0100.088
Sortino Ratio 0.0150.104
Calmar Ratio -0.5825.211
Ulcer Index 39.6427.34
📅 Daily Performance
Win Rate % 47.2%51.6%
Positive Days 162177
Negative Days 181166
Best Day % +96.26%+41.60%
Worst Day % -24.42%-24.31%
Avg Gain (Up Days) % +3.95%+3.81%
Avg Loss (Down Days) % -3.40%-3.07%
Profit Factor 1.041.32
🔥 Streaks & Patterns
Longest Win Streak days 78
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.0401.321
Expectancy % +0.07%+0.48%
Kelly Criterion % 0.54%4.09%
📅 Weekly Performance
Best Week % +70.10%+62.53%
Worst Week % -20.55%-16.46%
Weekly Win Rate % 50.9%43.4%
📆 Monthly Performance
Best Month % +58.98%+62.50%
Worst Month % -24.69%-13.69%
Monthly Win Rate % 30.8%53.8%
🔧 Technical Indicators
RSI (14-period) 43.1580.04
Price vs 50-Day MA % -5.11%+65.75%
Price vs 200-Day MA % +8.75%+63.56%

Performance Metrics: Shows the price at the start and end of the period, total change, and the highest/lowest prices reached during this time frame. | All-Time Records: All-time records show the highest and lowest prices ever reached during this period, how far the current price is from those extremes, and how long ago they occurred. | Easy-to-Understand Stats: Easy-to-understand metrics including typical daily price movements, biggest single-day gains/losses, how often price stayed above average, stability measures, and short-term momentum trends. | Returns & Growth: CAGR (Compound Annual Growth Rate) shows the annualized return rate if this growth continued consistently, while annualized and total returns show performance scaled to different time periods. | Risk & Volatility: Risk metrics show price volatility (daily and annualized), maximum drawdown (worst peak-to-trough decline), and various ratios (Sharpe, Sortino, Calmar, Treynor, Information) that measure risk-adjusted returns. | Daily Performance: Daily performance shows positive vs negative days, win rate, best and worst single days, average gains/losses on up/down days, gain/loss ratio, and profit factor (total gains divided by total losses). | Trading Metrics: Trading metrics include Omega ratio (probability-weighted gains vs losses), payoff ratio (avg win/avg loss), expectancy (expected return per trade), Kelly Criterion (optimal position sizing %), and price efficiency (trending vs choppy).

📊 Asset Correlations

Correlation coefficient ranges from -1 (perfectly inverse) to +1 (perfectly correlated).

PYTH (PYTH) vs NANO (NANO): -0.435 (Moderate negative)

Correlation shows how closely asset prices move together: +1.0 means perfect positive correlation (move in sync), 0 means no relationship, -1.0 means perfect negative correlation (move opposite). Lower correlation can help with portfolio diversification.

Data sources

PYTH: Kraken
NANO: Kraken