ALGO ALGO / PYTH Crypto vs F F / PYTH Crypto vs MOCA MOCA / PYTH 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 ALGO / PYTHF / PYTHMOCA / PYTH
📈 Performance Metrics
Start Price 0.950.160.58
End Price 1.930.110.42
Price Change % +103.11%-32.67%-28.16%
Period High 2.470.190.61
Period Low 0.840.030.31
Price Range % 194.6%505.7%93.0%
🏆 All-Time Records
All-Time High 2.470.190.61
Days Since ATH 127 days285 days85 days
Distance From ATH % -21.8%-41.7%-30.8%
All-Time Low 0.840.030.31
Distance From ATL % +130.5%+252.8%+33.5%
New ATHs Hit 28 times3 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.62%5.63%4.76%
Biggest Jump (1 Day) % +0.30+0.08+0.09
Biggest Drop (1 Day) % -1.04-0.04-0.29
Days Above Avg % 41.9%47.7%38.7%
Extreme Moves days 15 (4.4%)11 (3.2%)3 (3.3%)
Stability Score % 0.0%0.0%0.0%
Trend Strength % 55.4%59.5%41.3%
Recent Momentum (10-day) % +3.43%-5.49%+4.86%
📊 Statistical Measures
Average Price 1.540.100.43
Median Price 1.440.100.41
Price Std Deviation 0.340.030.07
🚀 Returns & Growth
CAGR % +112.55%-34.35%-73.08%
Annualized Return % +112.55%-34.35%-73.08%
Total Return % +103.11%-32.67%-28.16%
⚠️ Risk & Volatility
Daily Volatility % 4.59%12.23%8.01%
Annualized Volatility % 87.63%233.61%153.01%
Max Drawdown % -55.68%-83.49%-48.19%
Sharpe Ratio 0.0720.0380.002
Sortino Ratio 0.0620.0670.002
Calmar Ratio 2.021-0.411-1.516
Ulcer Index 20.4447.7032.12
📅 Daily Performance
Win Rate % 55.4%40.5%58.2%
Positive Days 19013953
Negative Days 15320438
Best Day % +18.91%+133.06%+28.52%
Worst Day % -48.69%-49.02%-48.19%
Avg Gain (Up Days) % +2.70%+7.74%+4.09%
Avg Loss (Down Days) % -2.61%-4.50%-5.65%
Profit Factor 1.281.171.01
🔥 Streaks & Patterns
Longest Win Streak days 1058
Longest Loss Streak days 6137
💹 Trading Metrics
Omega Ratio 1.2831.1731.008
Expectancy % +0.33%+0.46%+0.02%
Kelly Criterion % 4.68%1.33%0.09%
📅 Weekly Performance
Best Week % +20.54%+198.22%+10.22%
Worst Week % -43.26%-43.36%-38.75%
Weekly Win Rate % 50.0%38.5%53.3%
📆 Monthly Performance
Best Month % +28.01%+89.30%+24.96%
Worst Month % -40.76%-49.09%-36.41%
Monthly Win Rate % 69.2%23.1%40.0%
🔧 Technical Indicators
RSI (14-period) 60.5635.3458.63
Price vs 50-Day MA % +9.05%-0.63%+4.55%
Price vs 200-Day MA % +10.51%+28.63%N/A

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).

ALGO (ALGO) vs F (F): -0.521 (Moderate negative)
ALGO (ALGO) vs MOCA (MOCA): 0.163 (Weak)
F (F) vs MOCA (MOCA): -0.245 (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

ALGO: Kraken
F: Bybit
MOCA: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures