PYTH PYTH / SPK Crypto vs GAIA GAIA / 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 / SPKGAIA / SPK
📈 Performance Metrics
Start Price 2.300.89
End Price 2.641.72
Price Change % +14.68%+93.47%
Period High 3.892.92
Period Low 0.740.42
Price Range % 426.3%597.4%
🏆 All-Time Records
All-Time High 3.892.92
Days Since ATH 120 days28 days
Distance From ATH % -32.2%-41.1%
All-Time Low 0.740.42
Distance From ATL % +256.9%+310.7%
New ATHs Hit 16 times19 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.83%6.54%
Biggest Jump (1 Day) % +1.92+0.46
Biggest Drop (1 Day) % -1.37-0.68
Days Above Avg % 65.8%60.4%
Extreme Moves days 5 (3.4%)8 (7.6%)
Stability Score % 0.0%0.0%
Trend Strength % 60.7%59.0%
Recent Momentum (10-day) % -2.14%-17.06%
📊 Statistical Measures
Average Price 2.471.53
Median Price 2.631.62
Price Std Deviation 0.750.55
🚀 Returns & Growth
CAGR % +41.18%+891.64%
Annualized Return % +41.18%+891.64%
Total Return % +14.68%+93.47%
⚠️ Risk & Volatility
Daily Volatility % 13.25%10.19%
Annualized Volatility % 253.07%194.67%
Max Drawdown % -81.00%-52.89%
Sharpe Ratio 0.0680.116
Sortino Ratio 0.0730.105
Calmar Ratio 0.50816.859
Ulcer Index 39.4425.71
📅 Daily Performance
Win Rate % 61.1%59.6%
Positive Days 8862
Negative Days 5642
Best Day % +103.53%+36.31%
Worst Day % -55.27%-42.88%
Avg Gain (Up Days) % +6.11%+6.93%
Avg Loss (Down Days) % -7.28%-7.27%
Profit Factor 1.321.41
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3191.407
Expectancy % +0.90%+1.20%
Kelly Criterion % 2.03%2.37%
📅 Weekly Performance
Best Week % +116.56%+94.83%
Worst Week % -39.18%-35.89%
Weekly Win Rate % 69.6%52.9%
📆 Monthly Performance
Best Month % +160.85%+246.86%
Worst Month % -55.73%-42.88%
Monthly Win Rate % 71.4%33.3%
🔧 Technical Indicators
RSI (14-period) 55.7334.63
Price vs 50-Day MA % -5.34%-8.51%

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 GAIA (GAIA): 0.832 (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
GAIA: Kraken
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