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DaviddTech
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schmidhip ttmstrend btcusdt 30m 17.09

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TTMS Trend by @DaviddTech 🤖 [2415ae0f]

🛡️ TTMSTREND BTCUSDT 30M 17.09 @schmidhip

TREND FOLOWING
30 minutes

by DaviddTech - October 5, 2024
0
ℹ️ All backtest include trading fees.


⚪️ Deep Backtest

Last updated: 1 hour ago

4492.61%

Net Profit

51.51%

Win Rate

464

Total Closed Trades

1.409

Profit Factor

🛡️ %

Max Drawdown

1653.03% 🔥

Incubation Delta

Trades 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

Typing...

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.

AI Quant, can you analyze this strategy?

Standard Monthly Profit

This shows the total profits or losses of the strategy after closing a trade and the percentage gain or loss of the strategy over time.

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Year/MonthJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
20200.00%0.00%0.00%25.73%-7.79%1.29%1.46%-1.90%-3.08%27.15%10.49%30.18%
2021-0.43%19.45%10.52%5.63%-4.79%-10.77%8.80%19.02%-3.87%33.72%11.99%5.59%
2022-1.01%6.57%32.15%6.06%-5.93%-8.13%4.30%-9.07%17.59%-3.89%-12.33%5.37%
202310.38%-2.93%26.40%-8.80%10.17%12.56%-5.33%6.83%-5.60%29.23%0.20%6.64%
20242.27%21.55%41.66%0.78%-5.74%15.89%11.45%18.84%-2.21%28.76%Login to see resultsLogin to see results
2025Login to see resultsLogin to see resultsLogin to see resultsLogin to see resultsLogin to see results0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Live Trades Stats

BTC

Base Currency

68

Number of Trades

53.72%

Cumulative Returns

51.47%

Win Rate

2024-09-17

🟠 Incubation started

🛡️

7 Days

37.5%

30 Days

73.62%

60 Days

25.62%

90 Days

List of Trades

Key : Pink Background = Live Trades | Black Background = Backtest Trades

  • Performance (Backtest)
  • Performance (Forward Test)
All USDAll %Long USDLong %Short USDShort %
Open P&l0.00.0
Net Profit283958.032839.58265776.852657.7718181.18181.81
Gross Profit836695.018366.95718488.997184.89118206.011182.06
Gross Loss552736.975527.37452712.144527.12100024.831000.25
Commission Paid59668.3247444.1912224.13
Buy & Hold Return69971.1699.71
Max Equity Run-up313591.297.09
Max Drawdown46182.4828.75
Max Contracts Held17.017.010.0
Total Closed Trades396.0320.076.0
Total Open Trades0.00.00.0
Number Winning Trades204.0155.049.0
Number Losing Trades192.0165.027.0
Percent Profitable51.5248.4464.47
Avg P&l717.070.33830.550.36239.230.18
Avg Winning Trade4101.452.114635.412.392412.371.23
Avg Losing Trade2878.841.572743.711.543704.621.73
Ratio Avg Win / Avg Loss1.4251.6890.651
Largest Winning Trade23236.8423236.8410792.68
Largest Winning Trade Percent5.355.352.24
Largest Losing Trade19753.8219753.8216483.5
Largest Losing Trade Percent3.473.193.47
Avg # Bars In Trades26.028.016.0
Avg # Bars In Winning Trades26.029.016.0
Avg # Bars In Losing Trades26.027.017.0
Sharpe Ratio0.528
Sortino Ratio1.82
Profit Factor1.5141.5871.182
Margin Calls0.00.00.0
All USDAll %Long USDLong %Short USDShort %
Open P&l0.00.0
Net Profit449260.634492.61470917.744709.18-21657.12-216.57
Gross Profit1547545.8715475.461383650.113836.5163895.771638.96
Gross Loss1098285.2410982.85912732.369127.32185552.881855.53
Commission Paid114921.1796186.7118734.46
Buy & Hold Return135201.681352.02
Max Equity Run-up591223.0798.44
Max Drawdown302088.7351.01
Max Contracts Held20.020.014.0
Total Closed Trades464.0381.083.0
Total Open Trades0.00.00.0
Number Winning Trades239.0186.053.0
Number Losing Trades225.0195.030.0
Percent Profitable51.5148.8263.86
Avg P&l968.230.321236.00.36-260.930.12
Avg Winning Trade6475.092.097438.982.343092.371.21
Avg Losing Trade4881.271.564680.681.536185.11.8
Ratio Avg Win / Avg Loss1.3271.5890.5
Largest Winning Trade53705.953705.912424.77
Largest Winning Trade Percent5.355.352.24
Largest Losing Trade46836.9946836.9937759.81
Largest Losing Trade Percent3.473.193.47
Avg # Bars In Trades27.029.016.0
Avg # Bars In Winning Trades27.030.016.0
Avg # Bars In Losing Trades27.028.016.0
Sharpe Ratio0.504
Sortino Ratio1.668
Profit Factor1.4091.5160.883
Margin Calls0.00.00.0

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© All rights reserved DaviddTech 2024.
Disclaimer: The performance outcomes presented on davidd.tech are theoretical and subject to many limitations. It should not be assumed that any accounts will or can replicate the profits or losses similar to those depicted. Theoretical performance is often created looking back, which does not account for all the variables that can impact trading outcomes. Various market dynamics or the execution of specific trading strategies may introduce discrepancies that are not reflected in these theoretical results, potentially influencing actual trading negatively. Historical success does not guarantee future returns. Market conditions evolve, suggesting that the effectiveness of these strategies may diminish over time, necessitating new approaches. Additionally, performance can vary significantly among different brokers, and there is no expectation for backtested results to align precisely with actual market performance.
Charting is displayed using TradingView's technology, a platform, where you can track the latest events in the Economic calendar, watch live prices, and more

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