PYTH PYTH / PROVE Crypto vs INIT INIT / USD 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 / PROVEINIT / USD
📈 Performance Metrics
Start Price 0.220.77
End Price 0.160.10
Price Change % -28.48%-86.83%
Period High 0.221.34
Period Low 0.150.10
Price Range % 42.2%1,214.2%
🏆 All-Time Records
All-Time High 0.221.34
Days Since ATH 41 days181 days
Distance From ATH % -28.5%-92.4%
All-Time Low 0.150.10
Distance From ATL % +1.6%+0.0%
New ATHs Hit 1 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.16%7.10%
Biggest Jump (1 Day) % +0.02+0.21
Biggest Drop (1 Day) % -0.04-0.21
Days Above Avg % 50.0%35.3%
Extreme Moves days 3 (4.1%)10 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 52.1%54.5%
Recent Momentum (10-day) % -5.33%-6.24%
📊 Statistical Measures
Average Price 0.180.46
Median Price 0.180.41
Price Std Deviation 0.020.26
🚀 Returns & Growth
CAGR % -81.28%-97.53%
Annualized Return % -81.28%-97.53%
Total Return % -28.48%-86.83%
⚠️ Risk & Volatility
Daily Volatility % 4.51%9.19%
Annualized Volatility % 86.21%175.52%
Max Drawdown % -29.68%-92.39%
Sharpe Ratio -0.078-0.059
Sortino Ratio -0.070-0.059
Calmar Ratio -2.738-1.056
Ulcer Index 19.3467.06
📅 Daily Performance
Win Rate % 47.9%44.9%
Positive Days 3589
Negative Days 38109
Best Day % +13.23%+37.57%
Worst Day % -20.41%-57.64%
Avg Gain (Up Days) % +2.82%+6.28%
Avg Loss (Down Days) % -3.28%-6.12%
Profit Factor 0.790.84
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.7940.838
Expectancy % -0.35%-0.55%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +12.83%+65.10%
Worst Week % -12.10%-24.21%
Weekly Win Rate % 23.1%41.9%
📆 Monthly Performance
Best Month % +14.76%+4.55%
Worst Month % -12.10%-43.85%
Monthly Win Rate % 20.0%22.2%
🔧 Technical Indicators
RSI (14-period) 32.0940.88
Price vs 50-Day MA % -12.38%-46.98%
Price vs 200-Day MA % N/A-78.02%

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 INIT (INIT): 0.726 (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
INIT: Kraken