PYTH PYTH / ACM Crypto vs TOKE TOKE / ACM Crypto

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

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Asset PYTH / ACMTOKE / ACM
📈 Performance Metrics
Start Price 0.260.34
End Price 0.170.34
Price Change % -35.05%-1.98%
Period High 0.290.46
Period Low 0.110.14
Price Range % 172.3%223.2%
🏆 All-Time Records
All-Time High 0.290.46
Days Since ATH 322 days304 days
Distance From ATH % -41.1%-27.5%
All-Time Low 0.110.14
Distance From ATL % +60.4%+134.3%
New ATHs Hit 4 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.46%4.56%
Biggest Jump (1 Day) % +0.12+0.08
Biggest Drop (1 Day) % -0.05-0.05
Days Above Avg % 43.9%43.9%
Extreme Moves days 6 (1.7%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%54.2%
Recent Momentum (10-day) % -6.93%+2.90%
📊 Statistical Measures
Average Price 0.180.26
Median Price 0.180.26
Price Std Deviation 0.040.07
🚀 Returns & Growth
CAGR % -36.82%-2.11%
Annualized Return % -36.82%-2.11%
Total Return % -35.05%-1.98%
⚠️ Risk & Volatility
Daily Volatility % 7.03%7.04%
Annualized Volatility % 134.40%134.51%
Max Drawdown % -63.27%-69.06%
Sharpe Ratio 0.0100.033
Sortino Ratio 0.0150.041
Calmar Ratio -0.582-0.030
Ulcer Index 39.6445.10
📅 Daily Performance
Win Rate % 47.2%45.8%
Positive Days 162157
Negative Days 181186
Best Day % +96.26%+45.61%
Worst Day % -24.42%-25.07%
Avg Gain (Up Days) % +3.95%+5.42%
Avg Loss (Down Days) % -3.40%-4.15%
Profit Factor 1.041.10
🔥 Streaks & Patterns
Longest Win Streak days 78
Longest Loss Streak days 810
💹 Trading Metrics
Omega Ratio 1.0401.102
Expectancy % +0.07%+0.23%
Kelly Criterion % 0.54%1.02%
📅 Weekly Performance
Best Week % +70.10%+52.84%
Worst Week % -20.55%-22.52%
Weekly Win Rate % 50.9%41.5%
📆 Monthly Performance
Best Month % +58.98%+114.34%
Worst Month % -24.69%-41.68%
Monthly Win Rate % 30.8%53.8%
🔧 Technical Indicators
RSI (14-period) 43.1552.82
Price vs 50-Day MA % -5.11%+16.68%
Price vs 200-Day MA % +8.75%+45.85%

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 TOKE (TOKE): 0.750 (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
TOKE: Kraken