MON MON / FTT Crypto vs PYTH PYTH / FTT Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset MON / FTTPYTH / FTT

📈 Performance Metrics

Start Price 0.060.23

End Price 0.020.13

Price Change % -56.17%-43.50%

Period High 0.060.26

Period Low 0.020.09

Price Range % 253.0%189.5%

🏆 All-Time Records

All-Time High 0.060.26

Days Since ATH 333 days51 days

Distance From ATH % -58.6%-50.7%

All-Time Low 0.020.09

Distance From ATL % +46.2%+42.9%

New ATHs Hit 1 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.34%4.36%

Biggest Jump (1 Day) % +0.01+0.13

Biggest Drop (1 Day) % -0.01-0.05

Days Above Avg % 30.1%34.9%

Extreme Moves days 14 (4.2%)11 (3.2%)

Stability Score % 0.0%0.0%

Trend Strength % 50.3%50.7%

Recent Momentum (10-day) % +18.11%-22.71%

📊 Statistical Measures

Average Price 0.030.14

Median Price 0.020.13

Price Std Deviation 0.010.03

🚀 Returns & Growth

CAGR % -59.40%-45.53%

Annualized Return % -59.40%-45.53%

Total Return % -56.17%-43.50%

⚠️ Risk & Volatility

Daily Volatility % 7.43%7.86%

Annualized Volatility % 141.86%150.08%

Max Drawdown % -71.67%-60.45%

Sharpe Ratio 0.0030.013

Sortino Ratio 0.0030.016

Calmar Ratio -0.829-0.753

Ulcer Index 55.6841.61

📅 Daily Performance

Win Rate % 49.7%49.3%

Positive Days 166169

Negative Days 168174

Best Day % +40.52%+95.03%

Worst Day % -24.43%-29.08%

Avg Gain (Up Days) % +5.28%+4.51%

Avg Loss (Down Days) % -5.18%-4.19%

Profit Factor 1.011.05

🔥 Streaks & Patterns

Longest Win Streak days 67

Longest Loss Streak days 78

💹 Trading Metrics

Omega Ratio 1.0071.047

Expectancy % +0.02%+0.10%

Kelly Criterion % 0.07%0.53%

📅 Weekly Performance

Best Week % +43.38%+73.25%

Worst Week % -22.05%-28.61%

Weekly Win Rate % 44.0%51.9%

📆 Monthly Performance

Best Month % +29.20%+84.19%

Worst Month % -40.39%-52.59%

Monthly Win Rate % 33.3%53.8%

🔧 Technical Indicators

RSI (14-period) 62.7439.50

Price vs 50-Day MA % +13.67%-25.92%

Price vs 200-Day MA % +5.17%-9.96%

💰 Volume Analysis

Avg Volume 5,071,1051,805,304

Total Volume 1,698,820,168621,024,535

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).

MON (MON) vs PYTH (PYTH):	0.392 (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

MON: Bybit
PYTH: Kraken