PYTH PYTH / FTT Crypto vs USTC USTC / 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 / FTTUSTC / FTT
📈 Performance Metrics
Start Price 0.160.01
End Price 0.110.01
Price Change % -26.93%+26.25%
Period High 0.260.02
Period Low 0.090.00
Price Range % 189.5%254.6%
🏆 All-Time Records
All-Time High 0.260.02
Days Since ATH 78 days120 days
Distance From ATH % -57.1%-33.2%
All-Time Low 0.090.00
Distance From ATL % +24.1%+136.7%
New ATHs Hit 7 times20 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.24%3.37%
Biggest Jump (1 Day) % +0.13+0.00
Biggest Drop (1 Day) % -0.050.00
Days Above Avg % 34.0%47.8%
Extreme Moves days 10 (2.9%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%51.7%
Recent Momentum (10-day) % -1.82%+8.54%
📊 Statistical Measures
Average Price 0.140.01
Median Price 0.130.01
Price Std Deviation 0.030.00
🚀 Returns & Growth
CAGR % -28.39%+28.06%
Annualized Return % -28.39%+28.06%
Total Return % -26.93%+26.25%
⚠️ Risk & Volatility
Daily Volatility % 7.69%5.39%
Annualized Volatility % 146.87%102.96%
Max Drawdown % -57.44%-53.00%
Sharpe Ratio 0.0210.040
Sortino Ratio 0.0270.040
Calmar Ratio -0.4940.529
Ulcer Index 31.1923.74
📅 Daily Performance
Win Rate % 49.6%51.7%
Positive Days 170178
Negative Days 173166
Best Day % +95.03%+23.43%
Worst Day % -29.08%-26.60%
Avg Gain (Up Days) % +4.40%+3.72%
Avg Loss (Down Days) % -4.00%-3.54%
Profit Factor 1.081.13
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.0801.126
Expectancy % +0.16%+0.22%
Kelly Criterion % 0.91%1.64%
📅 Weekly Performance
Best Week % +73.25%+28.21%
Worst Week % -28.61%-23.89%
Weekly Win Rate % 48.1%59.6%
📆 Monthly Performance
Best Month % +84.19%+42.56%
Worst Month % -38.77%-43.99%
Monthly Win Rate % 46.2%61.5%
🔧 Technical Indicators
RSI (14-period) 45.6790.42
Price vs 50-Day MA % -18.03%+13.84%
Price vs 200-Day MA % -19.89%-10.47%
💰 Volume Analysis
Avg Volume 1,948,34026,307,498
Total Volume 670,229,1259,076,086,891

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 USTC (USTC): 0.477 (Moderate 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
USTC: Bybit