PYTH PYTH / FORTH Crypto vs CTK CTK / 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 / FORTHCTK / USD
📈 Performance Metrics
Start Price 0.130.76
End Price 0.050.27
Price Change % -66.35%-65.11%
Period High 0.131.01
Period Low 0.040.22
Price Range % 265.5%352.5%
🏆 All-Time Records
All-Time High 0.131.01
Days Since ATH 343 days321 days
Distance From ATH % -66.3%-73.7%
All-Time Low 0.040.22
Distance From ATL % +23.0%+18.9%
New ATHs Hit 0 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.13%4.33%
Biggest Jump (1 Day) % +0.04+0.10
Biggest Drop (1 Day) % -0.02-0.19
Days Above Avg % 40.1%29.1%
Extreme Moves days 9 (2.6%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 55.4%50.1%
Recent Momentum (10-day) % -8.45%-10.10%
📊 Statistical Measures
Average Price 0.060.45
Median Price 0.060.36
Price Std Deviation 0.020.20
🚀 Returns & Growth
CAGR % -68.62%-67.38%
Annualized Return % -68.62%-67.38%
Total Return % -66.35%-65.11%
⚠️ Risk & Volatility
Daily Volatility % 8.06%5.55%
Annualized Volatility % 154.00%106.12%
Max Drawdown % -72.64%-77.90%
Sharpe Ratio -0.005-0.027
Sortino Ratio -0.007-0.027
Calmar Ratio -0.945-0.865
Ulcer Index 57.4058.72
📅 Daily Performance
Win Rate % 44.6%49.7%
Positive Days 153170
Negative Days 190172
Best Day % +101.56%+27.31%
Worst Day % -35.54%-18.56%
Avg Gain (Up Days) % +4.63%+3.98%
Avg Loss (Down Days) % -3.80%-4.23%
Profit Factor 0.980.93
🔥 Streaks & Patterns
Longest Win Streak days 58
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 0.9810.928
Expectancy % -0.04%-0.15%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +67.10%+53.52%
Worst Week % -33.96%-21.48%
Weekly Win Rate % 46.2%53.8%
📆 Monthly Performance
Best Month % +45.57%+30.73%
Worst Month % -42.52%-26.00%
Monthly Win Rate % 23.1%46.2%
🔧 Technical Indicators
RSI (14-period) 44.1436.34
Price vs 50-Day MA % -19.12%-18.67%
Price vs 200-Day MA % -10.75%-19.50%

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 CTK (CTK): 0.792 (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

PYTH: Kraken
CTK: Binance