ALGO ALGO / NODE Crypto vs F F / NODE Crypto vs PYTH PYTH / NODE 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 / NODEF / NODEPYTH / NODE
📈 Performance Metrics
Start Price 3.370.111.58
End Price 3.590.221.86
Price Change % +6.50%+93.68%+17.51%
Period High 4.920.342.75
Period Low 2.130.060.99
Price Range % 130.8%474.0%176.9%
🏆 All-Time Records
All-Time High 4.920.342.75
Days Since ATH 17 days17 days17 days
Distance From ATH % -27.0%-37.0%-32.5%
All-Time Low 2.130.060.99
Distance From ATL % +68.4%+261.8%+86.9%
New ATHs Hit 6 times6 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.29%10.77%7.06%
Biggest Jump (1 Day) % +0.75+0.16+1.04
Biggest Drop (1 Day) % -0.96-0.08-0.55
Days Above Avg % 44.7%52.4%58.3%
Extreme Moves days 8 (7.8%)4 (3.9%)2 (2.0%)
Stability Score % 0.0%0.0%0.0%
Trend Strength % 52.9%45.1%49.0%
Recent Momentum (10-day) % -11.29%-15.75%-15.72%
📊 Statistical Measures
Average Price 3.250.171.95
Median Price 3.160.192.03
Price Std Deviation 0.630.090.45
🚀 Returns & Growth
CAGR % +25.28%+964.83%+78.16%
Annualized Return % +25.28%+964.83%+78.16%
Total Return % +6.50%+93.68%+17.51%
⚠️ Risk & Volatility
Daily Volatility % 8.39%19.89%13.59%
Annualized Volatility % 160.29%379.98%259.66%
Max Drawdown % -36.76%-52.16%-37.13%
Sharpe Ratio 0.0500.1050.064
Sortino Ratio 0.0500.1990.101
Calmar Ratio 0.68818.4962.105
Ulcer Index 17.7227.8417.06
📅 Daily Performance
Win Rate % 52.9%45.1%49.0%
Positive Days 544650
Negative Days 485652
Best Day % +23.97%+131.62%+104.78%
Worst Day % -20.24%-24.74%-21.11%
Avg Gain (Up Days) % +6.41%+14.35%+8.72%
Avg Loss (Down Days) % -6.33%-8.00%-6.67%
Profit Factor 1.141.471.26
🔥 Streaks & Patterns
Longest Win Streak days 1265
Longest Loss Streak days 444
💹 Trading Metrics
Omega Ratio 1.1401.4741.257
Expectancy % +0.42%+2.08%+0.87%
Kelly Criterion % 1.03%1.82%1.50%
📅 Weekly Performance
Best Week % +34.04%+209.54%+44.93%
Worst Week % -17.77%-20.96%-21.95%
Weekly Win Rate % 52.9%41.2%58.8%
📆 Monthly Performance
Best Month % +42.24%+167.90%+41.52%
Worst Month % -22.08%-33.03%-15.92%
Monthly Win Rate % 33.3%33.3%33.3%
🔧 Technical Indicators
RSI (14-period) 34.4333.1230.84
Price vs 50-Day MA % -2.52%-8.17%-16.95%
💰 Volume Analysis
Avg Volume 86,483,9833,961,851,02945,391,756
Total Volume 8,907,850,286408,070,655,9684,675,350,895

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): 0.873 (Strong positive)
ALGO (ALGO) vs PYTH (PYTH): 0.709 (Strong positive)
F (F) vs PYTH (PYTH): 0.797 (Strong 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

ALGO: Kraken
F: Bybit
PYTH: Kraken