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DaviddTech
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DEADZONE BTC 2H

  • Homepage

DEADZONE BTC 2H

@MarcoB


2H

by will1310 - May 22, 2024
0
ℹ️ All backtest include trading fees.


⚪️ Deep Backtest

Last updated: 5 hours ago

7877.81%

Net Profit

48.35%

Win Rate

182

Total Closed Trades

1.334

Profit Factor

🛡️ %

Max Drawdown

778.75% 🔥

Incubation Delta

Trades per Day

Key Performance Metrics

  • First Traded Date: 2020-04-29 14:00:00
  • Sharpe Ratio: 0.53
  • Sortino Ratio: 1.63
  • Calmar: -3.24
  • Longest DD Days: 21.00
  • Volatility: 133.15
  • Skew: 0.25
  • Kurtosis: -1.45
  • Expected Daily: 2.73
  • Expected Monthly: 76.16
  • Expected Yearly: 89,198.10
  • Kelly Criterion: 13.12
  • Daily Value-at-Risk: -7.20
  • Expected Shortfall (cVaR): -8.80
  • Last Trade Date: 2025-05-20 02:00:00
  • Max Consecutive Wins: 6
  • Number Winning Trades 88
  • Max Consecutive Losses: 7
  • Number Losing Trades: 94
  • Gain/Pain Ratio: -3.24
  • Gain/Pain (1M): 1.37
  • Payoff Ratio: 1.45
  • Common Sense Ratio: 1.37
  • Tail Ratio: 1.83
  • Outlier Win Ratio: 1.81
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.11
  • Serenity Index: 192.09

AI Trading Bot Quantitative Analyst

Typing...

Performance Analysis

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

Metric Strategy Value
Sharpe Ratio 0.522
Profit Factor 1.334
Maximum Drawdown -44.19%
Percent Profitable 48.35%
Annualized Return (CAGR %) 138.18%
Volatility (Annualized) 133.2%

The strategy shows a promising annualized return of 138.18% with a Sharpe Ratio of 0.522, indicating acceptable risk-adjusted returns in the crypto domain. The Profit Factor of 1.334 also reflects favorable conditions outpacing costs by a satisfactory margin, given the strategy environment. However, a maximum drawdown of -44.19% indicates higher risk exposure, suggesting potential over-leverage.

Strategy Viability

This strategy demonstrates robust returns and a fair performance on risk-adjusted metrics. Its profitability outcome suggests it has potential for success in real-world applications, especially under environments with sustained volatility. Yet, the high drawdown points to a need for cautious risk management. For optimal performance, the strategy would benefit from environments conducive to its high return and volatility profile.

Risk Management

The strategy's risk management could be significantly improved:

  • Reducing leverage can help in decreasing the drawdown without severely impacting expected returns.
  • Incorporating strict stop-loss mechanisms can mitigate extreme losses, aligning drawdown closer to acceptable levels.
  • Increased diversification can lower unsystematic risk and enhance the strategy's stability.

Improvement Suggestions

To enhance the strategy's robustness and maximize its performance, consider the following:

  • Refine the strategy parameters to improve trade accuracy and reduce market exposure during adverse conditions.
  • Introduce more sophisticated volatility management practices, potentially through algorithmic adjustments.
  • Conduct extensive backward and forward-testing across diverse market conditions to ensure strategy resilience.

Final Opinion

In summary, the strategy shows significant strengths, particularly in high-return environments, with a Sharpe Ratio above industry acceptance and respectable profitability measures. The higher drawdown warrants attention for real-world application, but refinements in leverage and risk practices can address major concerns.

Recommendation: Proceed with the strategy after refining its risk management framework. Focus on reducing leverage, optimizing parameters, and conducting comprehensive testing to improve its resilience across 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%17.57%8.87%-4.47%30.80%0.35%-0.51%23.02%5.26%22.69%
2021-15.14%23.18%0.90%11.50%33.92%27.14%36.61%0.00%-2.00%11.45%19.46%-11.03%
202240.57%20.93%2.52%-14.44%17.57%35.94%-6.39%29.74%22.13%-8.55%10.31%-8.00%
202336.26%-0.91%23.37%12.71%-2.03%4.77%-0.33%4.44%-3.16%22.51%2.97%5.89%
2024-6.53%22.68%5.74%-2.92%-7.07%4.89%2.04%5.71%5.25%-0.46%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

54

Number of Trades

31.25%

Cumulative Returns

38.89%

Win Rate

2024-01-21

🟠 Incubation started

🛡️

7 Days

15.25%

30 Days

-21.4%

60 Days

-0.94%

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&l241832.883.36
Net Profit7099055.717099.065958678.915958.681140376.791140.38
Gross Profit13350516.0613350.528823576.858823.584526939.214526.94
Gross Loss6251460.366251.462864897.942864.93386562.423386.56
Commission Paid371242.11187698.67183543.43
Buy & Hold Return453405.06453.41
Max Equity Run-up8767201.6798.87
Max Drawdown1554387.9718.98
Max Contracts Held427.0283.0427.0
Total Closed Trades129.059.070.0
Total Open Trades1.00.01.0
Number Winning Trades68.033.035.0
Number Losing Trades61.026.035.0
Percent Profitable52.7155.9350.0
Avg P&l55031.442.93100994.564.0116291.12.02
Avg Winning Trade196331.128.73267381.1210.0129341.127.53
Avg Losing Trade102482.963.53110188.383.5996758.933.49
Ratio Avg Win / Avg Loss1.9162.4271.337
Largest Winning Trade999503.94999503.94575864.66
Largest Winning Trade Percent10.310.38.9
Largest Losing Trade621428.22621428.22494318.01
Largest Losing Trade Percent5.695.695.6
Avg # Bars In Trades58.068.051.0
Avg # Bars In Winning Trades63.076.051.0
Avg # Bars In Losing Trades53.057.050.0
Sharpe Ratio0.67
Sortino Ratio2.565
Profit Factor2.1363.081.337
Margin Calls0.00.00.0
All USDAll %Long USDLong %Short USDShort %
Open P&l312607.03.92
Net Profit7877811.317877.817944629.377944.63-66818.06-66.82
Gross Profit31447573.8131447.5719195650.919195.6512251922.9112251.92
Gross Loss23569762.5123569.7611251021.5311251.0212318740.9812318.74
Commission Paid1004303.77495504.48508799.3
Buy & Hold Return1313467.411313.47
Max Equity Run-up12586393.999.21
Max Drawdown5549578.5144.19
Max Contracts Held427.0283.0427.0
Total Closed Trades182.084.098.0
Total Open Trades1.01.00.0
Number Winning Trades88.044.044.0
Number Losing Trades94.040.054.0
Percent Profitable48.3552.3844.9
Avg P&l43284.682.2294578.923.14-681.821.44
Avg Winning Trade357358.798.65436264.799.66278452.797.65
Avg Losing Trade250742.153.8281275.544.04228124.833.61
Ratio Avg Win / Avg Loss1.4251.5511.221
Largest Winning Trade1966908.621966908.621109970.62
Largest Winning Trade Percent10.310.38.9
Largest Losing Trade1141231.091141231.09883646.76
Largest Losing Trade Percent5.695.695.6
Avg # Bars In Trades54.062.048.0
Avg # Bars In Winning Trades63.073.052.0
Avg # Bars In Losing Trades47.049.045.0
Sharpe Ratio0.526
Sortino Ratio1.625
Profit Factor1.3341.7060.995
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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