PYTH PYTH / FTT Crypto vs OPEN OPEN / FTT 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 / FTTOPEN / FTT
📈 Performance Metrics
Start Price 0.231.83
End Price 0.120.36
Price Change % -47.54%-80.44%
Period High 0.261.83
Period Low 0.090.36
Price Range % 189.5%411.7%
🏆 All-Time Records
All-Time High 0.261.83
Days Since ATH 49 days38 days
Distance From ATH % -53.7%-80.4%
All-Time Low 0.090.36
Distance From ATL % +34.2%+0.1%
New ATHs Hit 2 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.34%10.39%
Biggest Jump (1 Day) % +0.13+0.21
Biggest Drop (1 Day) % -0.05-0.43
Days Above Avg % 34.9%38.5%
Extreme Moves days 11 (3.2%)3 (7.9%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%60.5%
Recent Momentum (10-day) % -15.91%-14.96%
📊 Statistical Measures
Average Price 0.140.78
Median Price 0.130.69
Price Std Deviation 0.030.34
🚀 Returns & Growth
CAGR % -49.67%-100.00%
Annualized Return % -49.67%-100.00%
Total Return % -47.54%-80.44%
⚠️ Risk & Volatility
Daily Volatility % 7.82%13.16%
Annualized Volatility % 149.34%251.49%
Max Drawdown % -62.63%-80.46%
Sharpe Ratio 0.010-0.251
Sortino Ratio 0.012-0.239
Calmar Ratio -0.793-1.243
Ulcer Index 44.0460.29
📅 Daily Performance
Win Rate % 49.3%39.5%
Positive Days 16915
Negative Days 17423
Best Day % +95.03%+44.08%
Worst Day % -29.08%-38.26%
Avg Gain (Up Days) % +4.45%+8.29%
Avg Loss (Down Days) % -4.18%-10.87%
Profit Factor 1.040.50
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0360.497
Expectancy % +0.08%-3.31%
Kelly Criterion % 0.41%0.00%
📅 Weekly Performance
Best Week % +73.25%+32.98%
Worst Week % -28.61%-40.06%
Weekly Win Rate % 51.9%28.6%
📆 Monthly Performance
Best Month % +84.19%+46.01%
Worst Month % -52.59%-74.85%
Monthly Win Rate % 46.2%33.3%
🔧 Technical Indicators
RSI (14-period) 30.9047.78
Price vs 50-Day MA % -32.31%N/A
Price vs 200-Day MA % -15.38%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 OPEN (OPEN): 0.847 (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
OPEN: Kraken