PYTH PYTH / FTT Crypto vs MOZ MOZ / FTT 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 / FTTMOZ / FTT
📈 Performance Metrics
Start Price 0.210.01
End Price 0.120.00
Price Change % -40.44%-96.66%
Period High 0.260.03
Period Low 0.090.00
Price Range % 189.5%7,041.4%
🏆 All-Time Records
All-Time High 0.260.03
Days Since ATH 45 days218 days
Distance From ATH % -53.6%-98.2%
All-Time Low 0.090.00
Distance From ATL % +34.4%+26.1%
New ATHs Hit 4 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.33%8.36%
Biggest Jump (1 Day) % +0.13+0.00
Biggest Drop (1 Day) % -0.050.00
Days Above Avg % 35.2%43.2%
Extreme Moves days 11 (3.2%)13 (4.2%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%52.1%
Recent Momentum (10-day) % +1.82%-23.62%
📊 Statistical Measures
Average Price 0.140.01
Median Price 0.130.01
Price Std Deviation 0.030.01
🚀 Returns & Growth
CAGR % -42.39%-98.24%
Annualized Return % -42.39%-98.24%
Total Return % -40.44%-96.66%
⚠️ Risk & Volatility
Daily Volatility % 7.82%11.75%
Annualized Volatility % 149.40%224.43%
Max Drawdown % -62.63%-98.60%
Sharpe Ratio 0.014-0.033
Sortino Ratio 0.018-0.035
Calmar Ratio -0.677-0.996
Ulcer Index 43.6472.03
📅 Daily Performance
Win Rate % 49.0%47.9%
Positive Days 168147
Negative Days 175160
Best Day % +95.03%+60.94%
Worst Day % -29.08%-61.32%
Avg Gain (Up Days) % +4.52%+7.86%
Avg Loss (Down Days) % -4.11%-7.98%
Profit Factor 1.050.91
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 810
💹 Trading Metrics
Omega Ratio 1.0540.905
Expectancy % +0.11%-0.39%
Kelly Criterion % 0.61%0.00%
📅 Weekly Performance
Best Week % +73.25%+79.13%
Worst Week % -28.61%-49.72%
Weekly Win Rate % 50.9%40.4%
📆 Monthly Performance
Best Month % +84.19%+156.82%
Worst Month % -52.59%-72.88%
Monthly Win Rate % 53.8%33.3%
🔧 Technical Indicators
RSI (14-period) 38.1633.02
Price vs 50-Day MA % -32.61%-61.15%
Price vs 200-Day MA % -15.38%-89.26%
💰 Volume Analysis
Avg Volume 1,755,25782,726,724
Total Volume 603,808,32725,479,830,905

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 MOZ (MOZ): -0.288 (Weak)

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
MOZ: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures