PYTH PYTH / SPK Crypto vs IOTA IOTA / SPK Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / SPKIOTA / SPK
📈 Performance Metrics
Start Price 2.303.93
End Price 2.503.70
Price Change % +8.52%-5.88%
Period High 3.897.26
Period Low 0.741.18
Price Range % 426.3%515.2%
🏆 All-Time Records
All-Time High 3.897.26
Days Since ATH 113 days111 days
Distance From ATH % -35.8%-49.0%
All-Time Low 0.741.18
Distance From ATL % +237.7%+213.7%
New ATHs Hit 16 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.01%5.70%
Biggest Jump (1 Day) % +1.92+1.10
Biggest Drop (1 Day) % -1.37-2.44
Days Above Avg % 64.7%45.3%
Extreme Moves days 5 (3.6%)7 (5.1%)
Stability Score % 0.0%0.0%
Trend Strength % 60.1%37.0%
Recent Momentum (10-day) % -4.51%+1.88%
📊 Statistical Measures
Average Price 2.473.49
Median Price 2.643.33
Price Std Deviation 0.771.18
🚀 Returns & Growth
CAGR % +24.13%-14.82%
Annualized Return % +24.13%-14.82%
Total Return % +8.52%-5.88%
⚠️ Risk & Volatility
Daily Volatility % 13.57%10.29%
Annualized Volatility % 259.20%196.50%
Max Drawdown % -81.00%-83.74%
Sharpe Ratio 0.0660.054
Sortino Ratio 0.0730.044
Calmar Ratio 0.298-0.177
Ulcer Index 39.6651.97
📅 Daily Performance
Win Rate % 60.6%63.0%
Positive Days 8387
Negative Days 5451
Best Day % +103.53%+55.88%
Worst Day % -55.27%-54.62%
Avg Gain (Up Days) % +6.34%+5.07%
Avg Loss (Down Days) % -7.45%-7.16%
Profit Factor 1.311.21
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3091.209
Expectancy % +0.91%+0.55%
Kelly Criterion % 1.92%1.52%
📅 Weekly Performance
Best Week % +116.56%+37.92%
Worst Week % -39.18%-38.96%
Weekly Win Rate % 68.2%63.6%
📆 Monthly Performance
Best Month % +160.85%+66.12%
Worst Month % -55.73%-52.55%
Monthly Win Rate % 66.7%50.0%
🔧 Technical Indicators
RSI (14-period) 30.6140.06
Price vs 50-Day MA % -11.90%+1.34%

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 IOTA (IOTA): 0.825 (Strong positive)

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
IOTA: Binance