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trromeo trendhoo ethusdt 2h 27.08

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🚀 Trendhoo [v5] by @DaviddTech 🤖 [4cd5e075]

🛡️ TRROMEO TRENDHOO ETHUSDT 2H 27.08 @trRomeo

TREND FOLOWING
2 hours

by DaviddTech - September 6, 2024
0
ℹ️ All backtest include trading fees.


⚪️ Deep Backtest

Last updated: 2 hours ago

1893.91%

Net Profit

51.01%

Win Rate

149

Total Closed Trades

2.176

Profit Factor

🛡️ %

Max Drawdown

889.09% 🔥

Incubation Delta

Trades per Day

Key Performance Metrics

  • First Traded Date: 2017-09-02 04:00:00
  • Sharpe Ratio: 0.32
  • Sortino Ratio: 1.21
  • Calmar: -1.08
  • Longest DD Days: 48.00
  • Volatility: 7.07
  • Skew: 1.37
  • Kurtosis: 2.65
  • Expected Daily: 0.12
  • Expected Monthly: 2.52
  • Expected Yearly: 34.74
  • Kelly Criterion: 27.15
  • Daily Value-at-Risk: -0.45
  • Expected Shortfall (cVaR): -0.53
  • Last Trade Date: 2025-05-09 08:00:00
  • Max Consecutive Wins: 8
  • Number Winning Trades 76
  • Max Consecutive Losses: 7
  • Number Losing Trades: 73
  • Gain/Pain Ratio: -1.08
  • Gain/Pain (1M): 2.14
  • Payoff Ratio: 2.05
  • Common Sense Ratio: 2.14
  • Tail Ratio: 2.43
  • Outlier Win Ratio: 3.07
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.01
  • Serenity Index: 2.55

AI Trading Bot Quantitative Analyst

Typing...

Performance Analysis

Upon reviewing the provided QuantStats report, several performance metrics stand out that merit attention:

Metric Value
Net Profit 1893.91%
CAGR 2.28%
Sharpe Ratio 0.32
Profit Factor 2.176
Maximum Drawdown -30.23%
Volatility (Annualized) 7.07%
Percent Profitable 51.01%

The strategy demonstrates a substantial net profit of 1893.91%, indicating strong overall returns. However, the Sharpe Ratio of 0.32 falls short of the 0.5 benchmark typically considered good for crypto, suggesting room for risk-adjusted performance improvement. The maximum drawdown of -30.23% is conducive for real-world trading, staying below the accepted level of 40%. A profit factor of 2.176 indicates that for every $1 lost, $2.176 are earned, which is promising for profitability.

Strategy Viability

Given the performance metrics, the strategy is viable for real-world trading, albeit with a cautionary note on its risk-adjusted returns. The conditions under which it is applied should be closely monitored, as the performance likely varies with market changes. The drawdown below 40% is a positive aspect under variable market conditions.

Risk Management

The strategy incorporates decent risk management as evidenced by a manageable maximum drawdown and no margin calls. Nevertheless, the volatility and drawdown behavior suggest areas for further enhancement including:

  • Reducing leverage to potentially decrease maximum drawdown figures.
  • Integrating stricter stop-loss mechanisms to control individual trade losses.
  • Exploring hedging strategies to guard against market downturns.

Improvement Suggestions

To enhance the strategy’s performance and robustness, the following recommendations can be considered:

  • Refining parameter settings to increase the Sharpe Ratio above 0.5, aiming for better risk-adjusted returns.
  • Experimenting with additional technical indicators that could improve entry and exit timing.
  • Conducting scenario analyses and stress testing to gauge how various market conditions might affect the strategy’s efficacy.
  • Utilizing algorithms to dynamically adjust leverage based on market volatility to optimize returns while managing drawdowns.

Final Opinion

The strategy demonstrates robust profitability with a good drawdown profile, making it a compelling option for trading. However, attention should be given to its relatively lower risk-adjusted performance as captured by the Sharpe Ratio.

Recommendation: Proceed with further testing and fine-tuning, particularly focusing on enhancing the risk-adjusted returns. Implementing the outlined improvements could significantly elevate the strategy’s effectiveness and sustainability in the financial markets.

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
20170.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%-2.01%9.69%1.23%0.00%
20180.00%0.00%0.00%-2.06%0.00%0.00%-3.95%4.93%-5.64%2.86%12.03%0.00%
20190.00%31.95%-6.70%0.00%0.00%0.00%0.00%0.00%0.00%-1.81%1.88%0.00%
202027.92%21.72%0.00%0.00%0.00%-3.27%32.12%10.49%0.00%0.00%0.00%0.00%
20210.00%0.00%10.60%22.90%16.24%0.00%6.62%0.00%0.00%0.00%0.00%0.00%
2022-1.45%2.97%22.64%-10.36%-3.55%0.00%-5.08%7.96%-6.63%17.20%-7.06%-7.96%
20237.21%0.00%0.00%0.00%-5.73%-4.28%-3.38%-0.94%0.08%6.79%5.89%0.00%
20241.90%37.02%8.83%-6.40%19.98%2.93%1.08%-3.06%18.94%-15.74%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

ETH

Base Currency

28

Number of Trades

62.62%

Cumulative Returns

42.86%

Win Rate

2024-08-27

🟠 Incubation started

🛡️

7 Days

46.37%

30 Days

92.74%

60 Days

41.28%

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 Profit10048.21004.829531.45953.14516.7651.68
Gross Profit19345.341934.5317113.681711.372231.66223.17
Gross Loss9297.14929.717582.24758.221714.9171.49
Commission Paid480.98402.6578.33
Buy & Hold Return5593.47559.35
Max Equity Run-up10832.5591.82
Max Drawdown2252.9330.23
Max Contracts Held15.015.011.0
Total Closed Trades122.097.025.0
Total Open Trades0.00.00.0
Number Winning Trades64.055.09.0
Number Losing Trades58.042.016.0
Percent Profitable52.4656.736.0
Avg P&l82.361.7898.262.2820.67-0.15
Avg Winning Trade302.276.48311.166.64247.965.54
Avg Losing Trade160.33.41180.533.43107.183.36
Ratio Avg Win / Avg Loss1.8861.7242.313
Largest Winning Trade1213.661213.66785.02
Largest Winning Trade Percent9.579.578.78
Largest Losing Trade486.02486.02240.34
Largest Losing Trade Percent5.075.074.82
Avg # Bars In Trades29.028.029.0
Avg # Bars In Winning Trades28.031.015.0
Avg # Bars In Losing Trades29.025.038.0
Sharpe Ratio0.317
Sortino Ratio1.221
Profit Factor2.0812.2571.301
Margin Calls0.00.00.0
All USDAll %Long USDLong %Short USDShort %
Open P&l0.00.0
Net Profit18939.061893.9117335.041733.51604.03160.4
Gross Profit35042.93504.2930655.063065.514387.84438.78
Gross Loss16103.831610.3813320.021332.02783.81278.38
Commission Paid800.41673.27127.14
Buy & Hold Return5768.8576.88
Max Equity Run-up18973.6695.16
Max Drawdown2634.3130.23
Max Contracts Held15.015.011.0
Total Closed Trades149.0118.031.0
Total Open Trades0.00.00.0
Number Winning Trades76.064.012.0
Number Losing Trades73.054.019.0
Percent Profitable51.0154.2438.71
Avg P&l127.111.76146.912.1551.740.31
Avg Winning Trade461.096.72478.996.84365.656.08
Avg Losing Trade220.63.4246.673.42146.523.33
Ratio Avg Win / Avg Loss2.091.9422.496
Largest Winning Trade2331.262331.26853.28
Largest Winning Trade Percent9.619.618.78
Largest Losing Trade845.64845.64553.2
Largest Losing Trade Percent5.075.074.82
Avg # Bars In Trades29.029.030.0
Avg # Bars In Winning Trades30.032.021.0
Avg # Bars In Losing Trades28.026.035.0
Sharpe Ratio0.32
Sortino Ratio1.213
Profit Factor2.1762.3011.576
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.
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