CORE CORE / FORTH Crypto vs PYTH PYTH / 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 CORE / FORTHPYTH / FORTH

📈 Performance Metrics

Start Price 0.250.08

End Price 0.090.04

Price Change % -64.81%-52.01%

Period High 0.330.09

Period Low 0.060.04

Price Range % 418.2%149.6%

🏆 All-Time Records

All-Time High 0.330.09

Days Since ATH 185 days341 days

Distance From ATH % -73.3%-58.8%

All-Time Low 0.060.04

Distance From ATL % +38.5%+2.8%

New ATHs Hit 8 times2 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.58%3.99%

Biggest Jump (1 Day) % +0.05+0.04

Biggest Drop (1 Day) % -0.07-0.02

Days Above Avg % 48.0%49.1%

Extreme Moves days 18 (5.2%)9 (2.6%)

Stability Score % 0.0%0.0%

Trend Strength % 50.7%53.9%

Recent Momentum (10-day) % -0.71%-10.92%

📊 Statistical Measures

Average Price 0.190.05

Median Price 0.180.05

Price Std Deviation 0.060.01

🚀 Returns & Growth

CAGR % -67.09%-54.22%

Annualized Return % -67.09%-54.22%

Total Return % -64.81%-52.01%

⚠️ Risk & Volatility

Daily Volatility % 5.60%7.97%

Annualized Volatility % 107.06%152.20%

Max Drawdown % -80.70%-59.94%

Sharpe Ratio -0.0250.007

Sortino Ratio -0.0230.009

Calmar Ratio -0.831-0.904

Ulcer Index 42.8942.80

📅 Daily Performance

Win Rate % 49.3%45.9%

Positive Days 169157

Negative Days 174185

Best Day % +23.24%+101.56%

Worst Day % -31.41%-35.54%

Avg Gain (Up Days) % +3.49%+4.43%

Avg Loss (Down Days) % -3.67%-3.66%

Profit Factor 0.931.03

🔥 Streaks & Patterns

Longest Win Streak days 75

Longest Loss Streak days 78

💹 Trading Metrics

Omega Ratio 0.9251.028

Expectancy % -0.14%+0.06%

Kelly Criterion % 0.00%0.34%

📅 Weekly Performance

Best Week % +64.96%+67.10%

Worst Week % -28.06%-33.96%

Weekly Win Rate % 42.3%48.1%

📆 Monthly Performance

Best Month % +39.64%+45.57%

Worst Month % -27.83%-16.62%

Monthly Win Rate % 30.8%23.1%

🔧 Technical Indicators

RSI (14-period) 61.6126.71

Price vs 50-Day MA % -2.26%-16.59%

Price vs 200-Day MA % -51.01%-23.01%

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).

CORE (CORE) vs PYTH (PYTH):	0.211 (Weak)

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

CORE: Bybit
PYTH: Kraken