ALGO ALGO / FORTH Crypto vs A A / FORTH Crypto vs PYTH PYTH / FORTH 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 / FORTHA / FORTHPYTH / FORTH
📈 Performance Metrics
Start Price 0.080.220.11
End Price 0.080.120.04
Price Change % +6.21%-47.82%-62.09%
Period High 0.120.220.12
Period Low 0.050.110.04
Price Range % 136.2%96.4%235.5%
🏆 All-Time Records
All-Time High 0.120.220.12
Days Since ATH 340 days106 days340 days
Distance From ATH % -31.3%-47.8%-65.2%
All-Time Low 0.050.110.04
Distance From ATL % +62.3%+2.5%+16.7%
New ATHs Hit 2 times0 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.71%2.17%4.13%
Biggest Jump (1 Day) % +0.03+0.02+0.04
Biggest Drop (1 Day) % -0.03-0.03-0.02
Days Above Avg % 48.0%59.8%47.4%
Extreme Moves days 18 (5.2%)7 (6.6%)9 (2.6%)
Stability Score % 0.0%0.0%0.0%
Trend Strength % 47.2%56.6%54.2%
Recent Momentum (10-day) % -3.56%-8.28%-8.92%
📊 Statistical Measures
Average Price 0.080.160.06
Median Price 0.080.170.06
Price Std Deviation 0.010.030.01
🚀 Returns & Growth
CAGR % +6.62%-89.35%-64.38%
Annualized Return % +6.62%-89.35%-64.38%
Total Return % +6.21%-47.82%-62.09%
⚠️ Risk & Volatility
Daily Volatility % 6.02%3.52%8.04%
Annualized Volatility % 115.06%67.16%153.67%
Max Drawdown % -57.66%-49.09%-70.19%
Sharpe Ratio 0.034-0.156-0.001
Sortino Ratio 0.036-0.139-0.001
Calmar Ratio 0.115-1.820-0.917
Ulcer Index 32.5329.2855.24
📅 Daily Performance
Win Rate % 47.2%42.9%45.6%
Positive Days 16245156
Negative Days 18160186
Best Day % +44.18%+10.90%+101.56%
Worst Day % -34.63%-18.51%-35.54%
Avg Gain (Up Days) % +4.18%+1.90%+4.53%
Avg Loss (Down Days) % -3.36%-2.39%-3.82%
Profit Factor 1.110.601.00
🔥 Streaks & Patterns
Longest Win Streak days 635
Longest Loss Streak days 7108
💹 Trading Metrics
Omega Ratio 1.1140.5960.997
Expectancy % +0.20%-0.55%-0.01%
Kelly Criterion % 1.44%0.00%0.00%
📅 Weekly Performance
Best Week % +54.56%+7.18%+67.10%
Worst Week % -24.43%-9.78%-33.96%
Weekly Win Rate % 46.2%35.3%48.1%
📆 Monthly Performance
Best Month % +35.42%+-3.89%+45.57%
Worst Month % -43.03%-14.30%-42.52%
Monthly Win Rate % 38.5%0.0%30.8%
🔧 Technical Indicators
RSI (14-period) 51.1338.7840.39
Price vs 50-Day MA % -0.34%-16.82%-16.36%
Price vs 200-Day MA % -3.68%N/A-14.69%

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 A (A): 0.876 (Strong positive)
ALGO (ALGO) vs PYTH (PYTH): 0.228 (Weak)
A (A) vs PYTH (PYTH): 0.152 (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

ALGO: Kraken
A: Kraken
PYTH: Kraken