PYTH PYTH / ACM Crypto vs BROCCOLI714 BROCCOLI714 / ACM 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 / ACMBROCCOLI714 / ACM
📈 Performance Metrics
Start Price 0.250.07
End Price 0.120.02
Price Change % -52.08%-65.92%
Period High 0.270.07
Period Low 0.110.02
Price Range % 155.9%226.6%
🏆 All-Time Records
All-Time High 0.270.07
Days Since ATH 335 days234 days
Distance From ATH % -55.8%-65.9%
All-Time Low 0.110.02
Distance From ATL % +13.1%+11.3%
New ATHs Hit 2 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.51%6.15%
Biggest Jump (1 Day) % +0.12+0.02
Biggest Drop (1 Day) % -0.05-0.02
Days Above Avg % 48.5%35.7%
Extreme Moves days 6 (1.7%)14 (6.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%50.4%
Recent Momentum (10-day) % -10.65%-8.25%
📊 Statistical Measures
Average Price 0.170.04
Median Price 0.170.03
Price Std Deviation 0.040.01
🚀 Returns & Growth
CAGR % -54.29%-81.34%
Annualized Return % -54.29%-81.34%
Total Return % -52.08%-65.92%
⚠️ Risk & Volatility
Daily Volatility % 7.04%8.61%
Annualized Volatility % 134.46%164.46%
Max Drawdown % -60.93%-69.38%
Sharpe Ratio -0.002-0.009
Sortino Ratio -0.003-0.009
Calmar Ratio -0.891-1.172
Ulcer Index 38.7451.45
📅 Daily Performance
Win Rate % 45.9%49.6%
Positive Days 157116
Negative Days 185118
Best Day % +96.26%+39.89%
Worst Day % -24.42%-39.63%
Avg Gain (Up Days) % +3.98%+5.72%
Avg Loss (Down Days) % -3.41%-5.78%
Profit Factor 0.990.97
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 0.9910.973
Expectancy % -0.02%-0.08%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +70.10%+45.53%
Worst Week % -20.55%-48.47%
Weekly Win Rate % 47.2%50.0%
📆 Monthly Performance
Best Month % +58.98%+67.13%
Worst Month % -24.69%-55.81%
Monthly Win Rate % 23.1%40.0%
🔧 Technical Indicators
RSI (14-period) 16.8933.59
Price vs 50-Day MA % -24.36%-21.33%
Price vs 200-Day MA % -21.13%-31.91%

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 BROCCOLI714 (BROCCOLI714): 0.107 (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
BROCCOLI714: Binance