PYTH PYTH / FTT Crypto vs FLOCK FLOCK / FTT Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / FTTFLOCK / FTT
📈 Performance Metrics
Start Price 0.160.22
End Price 0.110.20
Price Change % -26.93%-8.48%
Period High 0.260.54
Period Low 0.090.04
Price Range % 189.5%1,366.4%
🏆 All-Time Records
All-Time High 0.260.54
Days Since ATH 78 days82 days
Distance From ATH % -57.1%-63.5%
All-Time Low 0.090.04
Distance From ATL % +24.1%+435.1%
New ATHs Hit 7 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.24%7.91%
Biggest Jump (1 Day) % +0.13+0.20
Biggest Drop (1 Day) % -0.05-0.15
Days Above Avg % 34.0%53.1%
Extreme Moves days 10 (2.9%)13 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%51.4%
Recent Momentum (10-day) % -1.82%-1.49%
📊 Statistical Measures
Average Price 0.140.17
Median Price 0.130.18
Price Std Deviation 0.030.11
🚀 Returns & Growth
CAGR % -28.39%-9.64%
Annualized Return % -28.39%-9.64%
Total Return % -26.93%-8.48%
⚠️ Risk & Volatility
Daily Volatility % 7.69%11.89%
Annualized Volatility % 146.87%227.18%
Max Drawdown % -57.44%-84.46%
Sharpe Ratio 0.0210.051
Sortino Ratio 0.0270.066
Calmar Ratio -0.494-0.114
Ulcer Index 31.1956.14
📅 Daily Performance
Win Rate % 49.6%48.6%
Positive Days 170155
Negative Days 173164
Best Day % +95.03%+84.95%
Worst Day % -29.08%-36.55%
Avg Gain (Up Days) % +4.40%+8.50%
Avg Loss (Down Days) % -4.00%-6.86%
Profit Factor 1.081.17
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.0801.172
Expectancy % +0.16%+0.61%
Kelly Criterion % 0.91%1.04%
📅 Weekly Performance
Best Week % +73.25%+208.14%
Worst Week % -28.61%-53.25%
Weekly Win Rate % 48.1%54.2%
📆 Monthly Performance
Best Month % +84.19%+82.28%
Worst Month % -38.77%-78.57%
Monthly Win Rate % 46.2%30.8%
🔧 Technical Indicators
RSI (14-period) 45.6733.03
Price vs 50-Day MA % -18.03%-22.63%
Price vs 200-Day MA % -19.89%-12.30%
💰 Volume Analysis
Avg Volume 1,948,34027,044,885
Total Volume 670,229,1258,654,363,224

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 FLOCK (FLOCK): 0.523 (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
FLOCK: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures