PYTH PYTH / FTT Crypto vs INSP INSP / 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 / FTTINSP / FTT
📈 Performance Metrics
Start Price 0.230.04
End Price 0.120.01
Price Change % -47.54%-74.69%
Period High 0.260.05
Period Low 0.090.00
Price Range % 189.5%1,371.7%
🏆 All-Time Records
All-Time High 0.260.05
Days Since ATH 49 days68 days
Distance From ATH % -53.7%-80.4%
All-Time Low 0.090.00
Distance From ATL % +34.2%+188.8%
New ATHs Hit 2 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.34%7.15%
Biggest Jump (1 Day) % +0.13+0.01
Biggest Drop (1 Day) % -0.05-0.01
Days Above Avg % 34.9%35.4%
Extreme Moves days 11 (3.2%)13 (3.8%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%52.6%
Recent Momentum (10-day) % -15.91%-22.41%
📊 Statistical Measures
Average Price 0.140.01
Median Price 0.130.01
Price Std Deviation 0.030.01
🚀 Returns & Growth
CAGR % -49.67%-76.73%
Annualized Return % -49.67%-76.73%
Total Return % -47.54%-74.69%
⚠️ Risk & Volatility
Daily Volatility % 7.82%11.45%
Annualized Volatility % 149.34%218.81%
Max Drawdown % -62.63%-92.62%
Sharpe Ratio 0.0100.014
Sortino Ratio 0.0120.018
Calmar Ratio -0.793-0.828
Ulcer Index 44.0474.19
📅 Daily Performance
Win Rate % 49.3%47.4%
Positive Days 169163
Negative Days 174181
Best Day % +95.03%+119.48%
Worst Day % -29.08%-41.03%
Avg Gain (Up Days) % +4.45%+7.06%
Avg Loss (Down Days) % -4.18%-6.06%
Profit Factor 1.041.05
🔥 Streaks & Patterns
Longest Win Streak days 710
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 1.0361.049
Expectancy % +0.08%+0.16%
Kelly Criterion % 0.41%0.36%
📅 Weekly Performance
Best Week % +73.25%+215.81%
Worst Week % -28.61%-41.64%
Weekly Win Rate % 51.9%44.2%
📆 Monthly Performance
Best Month % +84.19%+314.94%
Worst Month % -52.59%-66.66%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 30.9026.71
Price vs 50-Day MA % -32.31%-48.70%
Price vs 200-Day MA % -15.38%-38.82%

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 INSP (INSP): 0.552 (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

PYTH: Kraken
INSP: Bybit