SOPH SOPH / PYTH Crypto vs FTT FTT / 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 SOPH / PYTHFTT / USD
📈 Performance Metrics
Start Price 0.491.92
End Price 0.220.80
Price Change % -54.23%-58.58%
Period High 0.533.87
Period Low 0.140.72
Price Range % 278.3%434.4%
🏆 All-Time Records
All-Time High 0.533.87
Days Since ATH 142 days291 days
Distance From ATH % -57.7%-79.4%
All-Time Low 0.140.72
Distance From ATL % +60.2%+9.9%
New ATHs Hit 1 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.18%4.66%
Biggest Jump (1 Day) % +0.08+0.78
Biggest Drop (1 Day) % -0.13-0.49
Days Above Avg % 51.7%33.9%
Extreme Moves days 6 (4.2%)17 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 56.9%53.8%
Recent Momentum (10-day) % +25.93%-12.19%
📊 Statistical Measures
Average Price 0.291.46
Median Price 0.301.08
Price Std Deviation 0.090.78
🚀 Returns & Growth
CAGR % -86.20%-60.75%
Annualized Return % -86.20%-60.75%
Total Return % -54.23%-58.58%
⚠️ Risk & Volatility
Daily Volatility % 6.83%5.85%
Annualized Volatility % 130.48%111.69%
Max Drawdown % -73.57%-81.29%
Sharpe Ratio -0.040-0.015
Sortino Ratio -0.039-0.018
Calmar Ratio -1.172-0.747
Ulcer Index 48.0964.38
📅 Daily Performance
Win Rate % 43.1%45.9%
Positive Days 62157
Negative Days 82185
Best Day % +26.13%+35.00%
Worst Day % -48.04%-20.03%
Avg Gain (Up Days) % +4.29%+4.39%
Avg Loss (Down Days) % -3.72%-3.89%
Profit Factor 0.870.96
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 119
💹 Trading Metrics
Omega Ratio 0.8710.957
Expectancy % -0.27%-0.09%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +24.44%+36.20%
Worst Week % -42.00%-24.69%
Weekly Win Rate % 26.1%50.9%
📆 Monthly Performance
Best Month % +13.87%+46.25%
Worst Month % -54.84%-41.51%
Monthly Win Rate % 28.6%38.5%
🔧 Technical Indicators
RSI (14-period) 72.1432.45
Price vs 50-Day MA % +14.38%-7.25%
Price vs 200-Day MA % N/A-14.36%
💰 Volume Analysis
Avg Volume 1,136,383,610332,486
Total Volume 164,775,623,497114,707,789

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).

SOPH (SOPH) vs FTT (FTT): 0.354 (Moderate 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

SOPH: Binance
FTT: Bybit