PYTH PYTH / ACM Crypto vs SLF SLF / USD 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / ACMSLF / USD
📈 Performance Metrics
Start Price 0.230.26
End Price 0.160.02
Price Change % -29.27%-92.01%
Period High 0.290.54
Period Low 0.110.02
Price Range % 172.3%2,478.4%
🏆 All-Time Records
All-Time High 0.290.54
Days Since ATH 317 days290 days
Distance From ATH % -42.9%-96.1%
All-Time Low 0.110.02
Distance From ATL % +55.4%+0.0%
New ATHs Hit 8 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.43%4.68%
Biggest Jump (1 Day) % +0.12+0.06
Biggest Drop (1 Day) % -0.05-0.10
Days Above Avg % 43.3%53.9%
Extreme Moves days 5 (1.5%)8 (2.5%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%53.2%
Recent Momentum (10-day) % -0.38%+4.64%
📊 Statistical Measures
Average Price 0.180.20
Median Price 0.180.21
Price Std Deviation 0.040.12
🚀 Returns & Growth
CAGR % -30.82%-94.60%
Annualized Return % -30.82%-94.60%
Total Return % -29.27%-92.01%
⚠️ Risk & Volatility
Daily Volatility % 6.99%9.97%
Annualized Volatility % 133.57%190.41%
Max Drawdown % -63.27%-96.12%
Sharpe Ratio 0.013-0.038
Sortino Ratio 0.020-0.049
Calmar Ratio -0.487-0.984
Ulcer Index 39.3364.82
📅 Daily Performance
Win Rate % 47.2%46.7%
Positive Days 162147
Negative Days 181168
Best Day % +96.26%+106.67%
Worst Day % -24.42%-38.55%
Avg Gain (Up Days) % +3.94%+5.25%
Avg Loss (Down Days) % -3.35%-5.31%
Profit Factor 1.050.87
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0530.865
Expectancy % +0.09%-0.38%
Kelly Criterion % 0.71%0.00%
📅 Weekly Performance
Best Week % +70.10%+144.40%
Worst Week % -20.55%-46.53%
Weekly Win Rate % 51.9%38.3%
📆 Monthly Performance
Best Month % +58.98%+95.54%
Worst Month % -24.69%-59.85%
Monthly Win Rate % 30.8%9.1%
🔧 Technical Indicators
RSI (14-period) 46.0152.30
Price vs 50-Day MA % -8.74%-62.91%
Price vs 200-Day MA % +5.51%-85.24%

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 SLF (SLF): 0.800 (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
SLF: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures