PYTH PYTH / SPK Crypto vs TUT TUT / 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 / SPKTUT / SPK
📈 Performance Metrics
Start Price 2.300.96
End Price 2.670.49
Price Change % +15.93%-49.19%
Period High 3.892.07
Period Low 0.740.36
Price Range % 426.3%480.9%
🏆 All-Time Records
All-Time High 3.892.07
Days Since ATH 99 days105 days
Distance From ATH % -31.5%-76.3%
All-Time Low 0.740.36
Distance From ATL % +260.7%+37.6%
New ATHs Hit 16 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.46%9.45%
Biggest Jump (1 Day) % +1.92+0.91
Biggest Drop (1 Day) % -1.37-1.28
Days Above Avg % 62.4%41.6%
Extreme Moves days 5 (4.0%)7 (5.6%)
Stability Score % 0.0%0.0%
Trend Strength % 62.1%38.7%
Recent Momentum (10-day) % -11.81%-63.68%
📊 Statistical Measures
Average Price 2.461.14
Median Price 2.661.03
Price Std Deviation 0.810.50
🚀 Returns & Growth
CAGR % +54.51%-86.37%
Annualized Return % +54.51%-86.37%
Total Return % +15.93%-49.19%
⚠️ Risk & Volatility
Daily Volatility % 14.28%15.95%
Annualized Volatility % 272.77%304.81%
Max Drawdown % -81.00%-82.79%
Sharpe Ratio 0.0740.055
Sortino Ratio 0.0780.051
Calmar Ratio 0.673-1.043
Ulcer Index 40.2549.56
📅 Daily Performance
Win Rate % 62.6%61.3%
Positive Days 7776
Negative Days 4648
Best Day % +103.53%+81.90%
Worst Day % -55.27%-70.25%
Avg Gain (Up Days) % +6.68%+8.29%
Avg Loss (Down Days) % -8.35%-10.86%
Profit Factor 1.341.21
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3401.209
Expectancy % +1.06%+0.88%
Kelly Criterion % 1.90%0.98%
📅 Weekly Performance
Best Week % +116.56%+44.22%
Worst Week % -39.18%-18.07%
Weekly Win Rate % 70.0%70.0%
📆 Monthly Performance
Best Month % +160.85%+70.40%
Worst Month % -55.73%-62.96%
Monthly Win Rate % 66.7%66.7%
🔧 Technical Indicators
RSI (14-period) 32.5918.93
Price vs 50-Day MA % -6.24%-59.14%

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 TUT (TUT): 0.706 (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
TUT: Binance