TTMS Trend by @DaviddTech 🤖 [2415ae0f]
🛡️ TTMSTREND BTCUSDT 30M 17.09 @schmidhip
TREND FOLOWING
30 minutes
⚪️ Deep Backtest
Last updated: 1 hour agoTrades per Day
Key Performance Metrics
- First Traded Date: 2020-04-08 01:30:00
- Sharpe Ratio: 0.50
- Sortino Ratio: 1.67
- Calmar: -0.92
- Longest DD Days: 61.00
- Volatility: 42.72
- Skew: 0.39
- Kurtosis: 0.68
- Expected Daily: 0.41
- Expected Monthly: 8.87
- Expected Yearly: 177.41
- Kelly Criterion: 15.36
- Daily Value-at-Risk: -3.54
- Expected Shortfall (cVaR): -4.90
- Last Trade Date: 2025-05-12 23:30:00
- Max Consecutive Wins: 6
- Number Winning Trades 239
- Max Consecutive Losses: 6
- Number Losing Trades: 225
- Gain/Pain Ratio: -0.92
- Gain/Pain (1M): 1.42
- Payoff Ratio: 1.34
- Common Sense Ratio: 1.42
- Tail Ratio: 1.48
- Outlier Win Ratio: 2.86
- Outlier Loss Ratio: 3.53
- Recovery Factor: 0.00
- Ulcer Index: 0.10
- Serenity Index: 9.41
AI Trading Bot Quantitative Analyst
Performance Analysis
Upon reviewing the provided QuantStats report, several performance metrics stand out that merit attention:
Metric | Strategy |
---|---|
Cumulative Return | 4492.61% |
Annualized Return (CAGR %) | 39.67% |
Sharpe Ratio | 0.504 |
Profit Factor | 1.409 |
Maximum Drawdown | -51.01% |
Volatility (Annualized) | 42.72% |
Percent Profitable | 51.51% |
The strategy shows a strong cumulative return of 4492.61% with an annualized return of 39.67%. The Sharpe ratio of 0.504 meets the acceptable threshold for crypto trading, indicating decent risk-adjusted returns. However, the maximum drawdown of -51.01% is higher than the acceptable level, suggesting room for improvement in risk management.
Strategy Viability
Based on the data provided, this strategy demonstrates potential viability for real-world trading, especially given the robust returns. However, the high drawdown should be addressed as it might pose significant risk during volatile market conditions. A positive aspect is the strategy's ability to achieve returns above the buy & hold benchmark of 1318.98%. Still, careful monitoring of market conditions is essential to ensure continued performance.
Risk Management
The strategy's current risk management approach can be enhanced to deal with the substantial maximum drawdown. Even though there have been no margin calls, suggesting good leverage use, the strategy can benefit from more rigorous measures:
- Reducing leverage to lower risk exposure and the likelihood of high drawdowns.
- Implementing a more refined stop-loss mechanism to manage open risk more effectively.
- Adjusting position sizes dynamically based on market volatility and drawdown levels.
Improvement Suggestions
To further strengthen the strategy’s performance and robustness, consider the following recommendations:
- Optimize the strategy’s parameters to balance return and risk more effectively, potentially lowering the drawdown.
- Incorporate additional technical indicators or machine learning models to capture more alpha.
- Conduct thorough backtesting with out-of-sample data to ensure the strategy's adaptability to different market conditions.
- Experiment with risk estimation models like Value-at-Risk (VaR) to provide a more detailed understanding of risk exposure.
Final Opinion
In summary, the strategy exhibits some promising metrics with a high cumulative return and an acceptable Sharpe ratio for crypto markets. The main area for improvement is the high maximum drawdown, which could be mitigated by adhering to stronger risk controls. Furthermore, optimizing the strategy's parameters and incorporating additional predictive tools can potentially enhance performance.
Recommendation: Continue with the strategy, focusing on reducing the drawdown risk through improved risk management techniques and thorough optimization testing. Keeping a proactive approach to risk management and strategy adaptation will be crucial to maintaining resilience across varying market conditions.