PYTH PYTH / FORTH Crypto vs CHEEMS CHEEMS / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / FORTHCHEEMS / USD
📈 Performance Metrics
Start Price 0.110.00
End Price 0.040.00
Price Change % -61.93%-19.29%
Period High 0.110.00
Period Low 0.040.00
Price Range % 184.4%72.8%
🏆 All-Time Records
All-Time High 0.110.00
Days Since ATH 343 days36 days
Distance From ATH % -61.9%-26.9%
All-Time Low 0.040.00
Distance From ATL % +8.3%+26.4%
New ATHs Hit 0 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.08%4.07%
Biggest Jump (1 Day) % +0.04+0.00
Biggest Drop (1 Day) % -0.020.00
Days Above Avg % 47.4%46.2%
Extreme Moves days 9 (2.6%)9 (4.5%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%53.5%
Recent Momentum (10-day) % +0.39%+9.59%
📊 Statistical Measures
Average Price 0.060.00
Median Price 0.050.00
Price Std Deviation 0.010.00
🚀 Returns & Growth
CAGR % -64.22%-32.64%
Annualized Return % -64.22%-32.64%
Total Return % -61.93%-19.29%
⚠️ Risk & Volatility
Daily Volatility % 8.02%6.12%
Annualized Volatility % 153.19%116.86%
Max Drawdown % -64.84%-42.12%
Sharpe Ratio -0.0010.011
Sortino Ratio -0.0010.013
Calmar Ratio -0.990-0.775
Ulcer Index 48.5825.57
📅 Daily Performance
Win Rate % 45.5%46.2%
Positive Days 15691
Negative Days 187106
Best Day % +101.56%+43.47%
Worst Day % -35.54%-21.65%
Avg Gain (Up Days) % +4.49%+4.51%
Avg Loss (Down Days) % -3.76%-3.74%
Profit Factor 1.001.04
🔥 Streaks & Patterns
Longest Win Streak days 54
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 0.9961.035
Expectancy % -0.01%+0.07%
Kelly Criterion % 0.00%0.42%
📅 Weekly Performance
Best Week % +67.10%+61.31%
Worst Week % -33.96%-14.89%
Weekly Win Rate % 46.2%50.0%
📆 Monthly Performance
Best Month % +45.57%+70.90%
Worst Month % -32.20%-12.22%
Monthly Win Rate % 23.1%33.3%
🔧 Technical Indicators
RSI (14-period) 47.8961.82
Price vs 50-Day MA % -17.85%+5.70%
Price vs 200-Day MA % -19.85%N/A
💰 Volume Analysis
Avg Volume 693,0508,732,546,885
Total Volume 238,409,3561,737,776,830,075

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 CHEEMS (CHEEMS): -0.021 (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

PYTH: Kraken
CHEEMS: Kraken