Super Metro by @DaviddTech 🤖 [bc0c949e]
🛡️ SUPERMETRO BTCUSDT 2H 03.12.2024
@jaybee3213
⌛2 hours
⚪️ Deep Backtest
Last updated: 1 hour agoTrades per Day
Key Performance Metrics
- First Traded Date: 2020-04-20 20:00:00
- Sharpe Ratio: 0.76
- Sortino Ratio: 3.61
- Calmar: -5.77
- Longest DD Days: 22.00
- Volatility: 74.85
- Skew: 0.71
- Kurtosis: 0.79
- Expected Daily: 1.66
- Expected Monthly: 41.27
- Expected Yearly: 6,218.61
- Kelly Criterion: 25.27
- Daily Value-at-Risk: -4.72
- Expected Shortfall (cVaR): -5.56
- Last Trade Date: 2025-03-23 23:00:00
- Max Consecutive Wins: 10
- Number Winning Trades 175
- Max Consecutive Losses: 7
- Number Losing Trades: 124
- Gain/Pain Ratio: -5.77
- Gain/Pain (1M): 1.75
- Payoff Ratio: 1.22
- Common Sense Ratio: 1.75
- Tail Ratio: 1.99
- Outlier Win Ratio: 2.71
- Outlier Loss Ratio: 0.00
- Recovery Factor: 0.00
- Ulcer Index: 0.07
- Serenity Index: 740.87
AI Trading Bot Quantitative Analyst
Performance Analysis
Upon reviewing the provided QuantStats report, several performance metrics stand out that merit attention:
Metric | Value |
---|---|
Net Profit | 9494.28% |
Cumulative Annual Growth Rate (CAGR) | 152.54% |
Sharpe Ratio | 0.755 |
Sortino Ratio | 3.613 |
Profit Factor | 1.713 |
Maximum Drawdown | 27.56% |
Volatility (Annualized) | 74.85% |
Percent Profitable | 58.53% |
The strategy showcases a robust net profit of 9494.28%, demonstrating its potential to generate significant returns. A Sharpe ratio of 0.755 highlights good risk-adjusted performance in the context of crypto trading. The maximum drawdown of 27.56% is well below the concerning threshold of 40%, suggesting sound downside risk management.
Strategy Viability
Based on the data provided, this strategy appears to be viable for real-world trading, particularly within the volatile environment of cryptocurrency markets. The performance data indicates resilience to adverse conditions, supported by a high Sortino ratio of 3.613 that confirms strong upside performance with effective downside mitigation. It is important to continuously monitor and verify if the strategy's optimal conditions persist in evolving markets.
Risk Management
The strategy employs fairly robust risk management approaches, evidenced by the relatively low maximum drawdown and absence of margin calls. However, given the high annualized volatility of 74.85%, there is room for further improvements. Suggested improvements include:
- Reducing leverage usage to decrease drawdown risk while still aiming for high returns.
- Dynamic position sizing based on changes in market volatility conditions.
- Implementing stops and volatility targets to contain losses efficiently.
Improvement Suggestions
To enhance the strategy’s performance further, consider the following recommendations:
- Optimize trade execution parameters to fine-tune entry and exit points.
- Incorporate additional indicators for greater market insight and timely signal generation.
- Improve risk management frameworks with advanced techniques such as stress testing and scenario analysis.
- Conduct further backtesting over diverse market periods to ensure strategy robustness against various conditions.
Final Opinion
In summary, the strategy demonstrates commendable performance with decent risk-adjusted metrics in the context of crypto markets. Although volatility remains high, the manageable drawdown indicates effective current risk controls. Continuous process refinement and vigilant monitoring of market conditions could further strengthen this strategy.
Recommendation: Proceed with further refinement and testing while considering the suggested enhancements to solidify the strategy’s robustness across different market environments.