ALGO ALGO / PYTH Crypto vs F F / PYTH Crypto vs MIRROR MIRROR / 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 / PYTHMIRROR / PYTH
📈 Performance Metrics
Start Price 0.700.200.41
End Price 1.880.120.04
Price Change % +170.05%-38.97%-89.32%
Period High 2.470.200.41
Period Low 0.620.030.04
Price Range % 298.1%540.3%836.4%
🏆 All-Time Records
All-Time High 2.470.200.41
Days Since ATH 110 days333 days57 days
Distance From ATH % -23.8%-39.0%-89.3%
All-Time Low 0.620.030.04
Distance From ATL % +203.3%+290.8%+0.0%
New ATHs Hit 30 times0 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.77%6.03%10.94%
Biggest Jump (1 Day) % +0.30+0.08+0.06
Biggest Drop (1 Day) % -1.04-0.04-0.08
Days Above Avg % 38.4%45.8%37.9%
Extreme Moves days 13 (3.8%)10 (3.0%)3 (5.3%)
Stability Score % 0.0%0.0%0.0%
Trend Strength % 54.2%59.2%59.6%
Recent Momentum (10-day) % +6.30%+2.08%-24.44%
📊 Statistical Measures
Average Price 1.490.100.15
Median Price 1.410.100.13
Price Std Deviation 0.360.030.10
🚀 Returns & Growth
CAGR % +187.81%-41.80%-100.00%
Annualized Return % +187.81%-41.80%-100.00%
Total Return % +170.05%-38.97%-89.32%
⚠️ Risk & Volatility
Daily Volatility % 5.07%12.55%11.52%
Annualized Volatility % 96.85%239.70%220.12%
Max Drawdown % -55.68%-84.38%-89.32%
Sharpe Ratio 0.0850.037-0.275
Sortino Ratio 0.0810.064-0.249
Calmar Ratio 3.373-0.495-1.120
Ulcer Index 19.9650.6267.76
📅 Daily Performance
Win Rate % 54.2%40.8%39.3%
Positive Days 18613622
Negative Days 15719734
Best Day % +35.28%+133.06%+27.75%
Worst Day % -48.69%-49.02%-27.67%
Avg Gain (Up Days) % +3.05%+8.06%+8.01%
Avg Loss (Down Days) % -2.67%-4.78%-10.49%
Profit Factor 1.351.160.49
🔥 Streaks & Patterns
Longest Win Streak days 1052
Longest Loss Streak days 6134
💹 Trading Metrics
Omega Ratio 1.3541.1640.494
Expectancy % +0.43%+0.46%-3.22%
Kelly Criterion % 5.31%1.21%0.00%
📅 Weekly Performance
Best Week % +37.35%+198.22%+-2.19%
Worst Week % -43.26%-43.36%-30.62%
Weekly Win Rate % 50.0%39.2%0.0%
📆 Monthly Performance
Best Month % +28.21%+89.30%+-30.37%
Worst Month % -40.76%-49.09%-64.56%
Monthly Win Rate % 69.2%25.0%0.0%
🔧 Technical Indicators
RSI (14-period) 66.7259.4621.36
Price vs 50-Day MA % +17.84%+16.54%-63.98%
Price vs 200-Day MA % +10.35%+47.49%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): -0.582 (Moderate negative)
ALGO (ALGO) vs MIRROR (MIRROR): -0.705 (Strong negative)
F (F) vs MIRROR (MIRROR): -0.519 (Moderate negative)

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
MIRROR: Kraken