PYTH PYTH / ACM Crypto vs SPK SPK / USD 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 PYTH / ACMSPK / USD
📈 Performance Metrics
Start Price 0.260.04
End Price 0.160.03
Price Change % -39.30%-24.62%
Period High 0.290.18
Period Low 0.110.03
Price Range % 172.3%492.8%
🏆 All-Time Records
All-Time High 0.290.18
Days Since ATH 319 days85 days
Distance From ATH % -45.7%-82.7%
All-Time Low 0.110.03
Distance From ATL % +47.7%+2.5%
New ATHs Hit 6 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.41%8.06%
Biggest Jump (1 Day) % +0.12+0.09
Biggest Drop (1 Day) % -0.05-0.07
Days Above Avg % 43.9%39.5%
Extreme Moves days 5 (1.5%)5 (4.2%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%63.6%
Recent Momentum (10-day) % -4.54%-27.45%
📊 Statistical Measures
Average Price 0.180.06
Median Price 0.180.06
Price Std Deviation 0.040.03
🚀 Returns & Growth
CAGR % -41.21%-58.28%
Annualized Return % -41.21%-58.28%
Total Return % -39.30%-24.62%
⚠️ Risk & Volatility
Daily Volatility % 6.98%13.89%
Annualized Volatility % 133.45%265.31%
Max Drawdown % -63.27%-83.13%
Sharpe Ratio 0.0070.038
Sortino Ratio 0.0100.068
Calmar Ratio -0.651-0.701
Ulcer Index 39.4854.28
📅 Daily Performance
Win Rate % 46.9%35.9%
Positive Days 16142
Negative Days 18275
Best Day % +96.26%+97.07%
Worst Day % -24.42%-38.28%
Avg Gain (Up Days) % +3.90%+10.83%
Avg Loss (Down Days) % -3.36%-5.22%
Profit Factor 1.031.16
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.0281.161
Expectancy % +0.05%+0.54%
Kelly Criterion % 0.38%0.95%
📅 Weekly Performance
Best Week % +70.10%+53.25%
Worst Week % -20.55%-27.36%
Weekly Win Rate % 51.9%42.1%
📆 Monthly Performance
Best Month % +58.98%+162.71%
Worst Month % -24.69%-36.62%
Monthly Win Rate % 30.8%33.3%
🔧 Technical Indicators
RSI (14-period) 26.8517.30
Price vs 50-Day MA % -13.92%-43.19%
Price vs 200-Day MA % +0.34%N/A

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 SPK (SPK): -0.242 (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

PYTH: Kraken
SPK: Kraken