ALGO ALGO / MIM Crypto vs F F / USD Crypto vs PYTH PYTH / 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 ALGO / MIMF / USDPYTH / USD
📈 Performance Metrics
Start Price 56.510.100.51
End Price 313.670.010.07
Price Change % +455.09%-92.26%-85.82%
Period High 334.830.100.52
Period Low 56.510.010.07
Price Range % 492.5%1,555.2%672.6%
🏆 All-Time Records
All-Time High 334.830.100.52
Days Since ATH 17 days343 days341 days
Distance From ATH % -6.3%-92.3%-86.3%
All-Time Low 56.510.010.07
Distance From ATL % +455.1%+28.1%+6.0%
New ATHs Hit 22 times0 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.10%6.65%4.68%
Biggest Jump (1 Day) % +68.85+0.02+0.11
Biggest Drop (1 Day) % -34.46-0.02-0.09
Days Above Avg % 35.7%31.4%29.4%
Extreme Moves days 4 (4.1%)11 (3.2%)6 (1.7%)
Stability Score % 95.2%0.0%0.0%
Trend Strength % 57.7%56.6%52.8%
Recent Momentum (10-day) % -4.19%-9.21%-7.63%
📊 Statistical Measures
Average Price 177.210.020.18
Median Price 145.240.010.15
Price Std Deviation 81.050.020.10
🚀 Returns & Growth
CAGR % +63,133.17%-93.43%-87.49%
Annualized Return % +63,133.17%-93.43%-87.49%
Total Return % +455.09%-92.26%-85.82%
⚠️ Risk & Volatility
Daily Volatility % 8.51%11.28%8.02%
Annualized Volatility % 162.60%215.51%153.15%
Max Drawdown % -32.94%-93.96%-87.06%
Sharpe Ratio 0.249-0.022-0.037
Sortino Ratio 0.328-0.033-0.047
Calmar Ratio 1,916.321-0.994-1.005
Ulcer Index 11.8181.8968.32
📅 Daily Performance
Win Rate % 57.7%43.4%47.2%
Positive Days 56149162
Negative Days 41194181
Best Day % +43.37%+129.66%+99.34%
Worst Day % -21.85%-32.74%-32.57%
Avg Gain (Up Days) % +7.36%+6.48%+4.66%
Avg Loss (Down Days) % -5.03%-5.41%-4.73%
Profit Factor 2.000.920.88
🔥 Streaks & Patterns
Longest Win Streak days 597
Longest Loss Streak days 486
💹 Trading Metrics
Omega Ratio 1.9980.9200.881
Expectancy % +2.12%-0.24%-0.30%
Kelly Criterion % 5.73%0.00%0.00%
📅 Weekly Performance
Best Week % +51.79%+208.28%+65.86%
Worst Week % -21.58%-32.50%-27.08%
Weekly Win Rate % 75.0%42.3%51.9%
📆 Monthly Performance
Best Month % +99.08%+72.21%+65.32%
Worst Month % -12.76%-52.03%-32.91%
Monthly Win Rate % 80.0%23.1%38.5%
🔧 Technical Indicators
RSI (14-period) 50.2537.4647.32
Price vs 50-Day MA % +32.24%-26.63%-33.03%
Price vs 200-Day MA % N/A-22.14%-43.44%
💰 Volume Analysis
Avg Volume 4,933,918,357110,939,5431,918,482
Total Volume 483,523,999,02538,163,202,711659,957,966

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).

ALGO (ALGO) vs F (F): 0.065 (Weak)
ALGO (ALGO) vs PYTH (PYTH): -0.732 (Strong negative)
F (F) vs PYTH (PYTH): 0.951 (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

ALGO: Kraken
F: Bybit
PYTH: Kraken