PYTH PYTH / MNT Crypto vs ALGO ALGO / 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 / MNTALGO / USD
📈 Performance Metrics
Start Price 0.580.51
End Price 0.070.14
Price Change % -87.87%-72.56%
Period High 0.580.51
Period Low 0.060.13
Price Range % 879.1%290.5%
🏆 All-Time Records
All-Time High 0.580.51
Days Since ATH 343 days339 days
Distance From ATH % -87.9%-72.7%
All-Time Low 0.060.13
Distance From ATL % +18.7%+6.5%
New ATHs Hit 0 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.30%4.07%
Biggest Jump (1 Day) % +0.09+0.07
Biggest Drop (1 Day) % -0.08-0.08
Days Above Avg % 42.7%36.0%
Extreme Moves days 6 (1.7%)19 (5.5%)
Stability Score % 0.0%0.0%
Trend Strength % 56.6%49.9%
Recent Momentum (10-day) % -5.60%-6.32%
📊 Statistical Measures
Average Price 0.190.25
Median Price 0.180.23
Price Std Deviation 0.080.08
🚀 Returns & Growth
CAGR % -89.41%-74.74%
Annualized Return % -89.41%-74.74%
Total Return % -87.87%-72.56%
⚠️ Risk & Volatility
Daily Volatility % 7.42%5.22%
Annualized Volatility % 141.73%99.68%
Max Drawdown % -89.79%-74.39%
Sharpe Ratio -0.052-0.046
Sortino Ratio -0.071-0.045
Calmar Ratio -0.996-1.005
Ulcer Index 69.3553.60
📅 Daily Performance
Win Rate % 43.4%50.1%
Positive Days 149172
Negative Days 194171
Best Day % +91.56%+20.68%
Worst Day % -19.04%-19.82%
Avg Gain (Up Days) % +4.54%+3.60%
Avg Loss (Down Days) % -4.17%-4.10%
Profit Factor 0.840.88
🔥 Streaks & Patterns
Longest Win Streak days 611
Longest Loss Streak days 97
💹 Trading Metrics
Omega Ratio 0.8370.883
Expectancy % -0.38%-0.24%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +61.02%+50.20%
Worst Week % -30.02%-22.48%
Weekly Win Rate % 42.3%42.3%
📆 Monthly Performance
Best Month % +32.29%+42.39%
Worst Month % -51.47%-34.08%
Monthly Win Rate % 30.8%38.5%
🔧 Technical Indicators
RSI (14-period) 41.1738.96
Price vs 50-Day MA % -7.56%-21.21%
Price vs 200-Day MA % -49.16%-35.09%

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 ALGO (ALGO): 0.761 (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
ALGO: Kraken