PYTH PYTH / FORTH Crypto vs IDEX IDEX / FORTH 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / FORTHIDEX / FORTH

📈 Performance Metrics

Start Price 0.080.01

End Price 0.040.01

Price Change % -55.56%-37.56%

Period High 0.090.01

Period Low 0.040.01

Price Range % 149.6%126.3%

🏆 All-Time Records

All-Time High 0.090.01

Days Since ATH 342 days337 days

Distance From ATH % -59.3%-48.9%

All-Time Low 0.040.01

Distance From ATL % +1.6%+15.8%

New ATHs Hit 1 times2 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.97%4.12%

Biggest Jump (1 Day) % +0.04+0.00

Biggest Drop (1 Day) % -0.020.00

Days Above Avg % 48.8%52.6%

Extreme Moves days 9 (2.6%)13 (3.8%)

Stability Score % 0.0%0.0%

Trend Strength % 54.5%53.1%

Recent Momentum (10-day) % -10.97%-8.46%

📊 Statistical Measures

Average Price 0.050.01

Median Price 0.050.01

Price Std Deviation 0.010.00

🚀 Returns & Growth

CAGR % -57.81%-39.42%

Annualized Return % -57.81%-39.42%

Total Return % -55.56%-37.56%

⚠️ Risk & Volatility

Daily Volatility % 7.96%6.98%

Annualized Volatility % 152.05%133.35%

Max Drawdown % -59.94%-55.82%

Sharpe Ratio 0.0040.015

Sortino Ratio 0.0050.017

Calmar Ratio -0.964-0.706

Ulcer Index 42.9235.12

📅 Daily Performance

Win Rate % 45.5%46.9%

Positive Days 156161

Negative Days 187182

Best Day % +101.56%+41.24%

Worst Day % -35.54%-35.97%

Avg Gain (Up Days) % +4.42%+4.47%

Avg Loss (Down Days) % -3.63%-3.76%

Profit Factor 1.021.05

🔥 Streaks & Patterns

Longest Win Streak days 55

Longest Loss Streak days 86

💹 Trading Metrics

Omega Ratio 1.0161.052

Expectancy % +0.03%+0.10%

Kelly Criterion % 0.20%0.61%

📅 Weekly Performance

Best Week % +67.10%+51.40%

Worst Week % -33.96%-32.91%

Weekly Win Rate % 45.3%43.4%

📆 Monthly Performance

Best Month % +45.57%+23.89%

Worst Month % -16.62%-22.25%

Monthly Win Rate % 23.1%30.8%

🔧 Technical Indicators

RSI (14-period) 27.7834.60

Price vs 50-Day MA % -16.79%-7.99%

Price vs 200-Day MA % -23.78%-17.78%

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 IDEX (IDEX):	0.744 (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
IDEX: Kraken