PYTH PYTH / NODL Crypto vs DEEP DEEP / USD 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / NODLDEEP / USD

📈 Performance Metrics

Start Price 140.850.14

End Price 598.510.05

Price Change % +324.92%-61.69%

Period High 755.050.20

Period Low 43.900.05

Price Range % 1,620.1%283.7%

🏆 All-Time Records

All-Time High 755.050.20

Days Since ATH 17 days102 days

Distance From ATH % -20.7%-73.5%

All-Time Low 43.900.05

Distance From ATL % +1,263.5%+1.7%

New ATHs Hit 24 times7 times

📌 Easy-to-Understand Stats

Avg Daily Change % 9.31%4.98%

Biggest Jump (1 Day) % +283.76+0.02

Biggest Drop (1 Day) % -213.76-0.06

Days Above Avg % 27.9%57.9%

Extreme Moves days 9 (2.6%)5 (3.5%)

Stability Score % 93.4%0.0%

Trend Strength % 53.9%54.2%

Recent Momentum (10-day) % +5.32%-24.22%

📊 Statistical Measures

Average Price 214.340.14

Median Price 158.100.14

Price Std Deviation 145.270.03

🚀 Returns & Growth

CAGR % +366.23%-91.21%

Annualized Return % +366.23%-91.21%

Total Return % +324.92%-61.69%

⚠️ Risk & Volatility

Daily Volatility % 14.22%6.97%

Annualized Volatility % 271.63%133.22%

Max Drawdown % -89.37%-73.94%

Sharpe Ratio 0.101-0.056

Sortino Ratio 0.125-0.054

Calmar Ratio 4.098-1.234

Ulcer Index 29.7834.21

📅 Daily Performance

Win Rate % 53.9%45.5%

Positive Days 18565

Negative Days 15878

Best Day % +128.90%+21.15%

Worst Day % -82.96%-44.94%

Avg Gain (Up Days) % +9.16%+5.09%

Avg Loss (Down Days) % -7.60%-4.97%

Profit Factor 1.410.85

🔥 Streaks & Patterns

Longest Win Streak days 84

Longest Loss Streak days 57

💹 Trading Metrics

Omega Ratio 1.4100.854

Expectancy % +1.44%-0.40%

Kelly Criterion % 2.06%0.00%

📅 Weekly Performance

Best Week % +272.76%+21.99%

Worst Week % -25.30%-21.36%

Weekly Win Rate % 57.7%56.5%

📆 Monthly Performance

Best Month % +216.39%+11.82%

Worst Month % -34.22%-29.24%

Monthly Win Rate % 61.5%33.3%

🔧 Technical Indicators

RSI (14-period) 52.8942.01

Price vs 50-Day MA % +17.10%-49.94%

Price vs 200-Day MA % +107.99%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).

PYTH (PYTH) vs DEEP (DEEP):	-0.708 (Strong 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

PYTH: Kraken
DEEP: Kraken