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DaviddTech
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REID HAT3 ETHUSDT 1H 28.05

  • Homepage

Heiken-Ashi T3 by @DaviddTech 🤖 [e1fbe78e]

🛡️ HAT3 ETHUSDT 1H 28.05 @reid

TREND FOLLOWING
30 minutes

by DaviddTech - June 5, 2024
0
  • icon 1
ℹ️ All backtest include trading fees.


⚪️ Deep Backtest

Last updated: 3 hours ago

2927.84%

Net Profit

57.39%

Win Rate

690

Total Closed Trades

1.395

Profit Factor

🛡️ %

Max Drawdown

1301.53% 🔥

Incubation Delta

Trades per Day

Key Performance Metrics

  • First Traded Date: 2020-11-02 00:30:00
  • Sharpe Ratio: 0.73
  • Sortino Ratio: 2.22
  • Calmar: -5.52
  • Longest DD Days: 68.00
  • Volatility: 47.80
  • Skew: -0.10
  • Kurtosis: -1.18
  • Expected Daily: 0.54
  • Expected Monthly: 11.87
  • Expected Yearly: 284.07
  • Kelly Criterion: 15.78
  • Daily Value-at-Risk: -3.90
  • Expected Shortfall (cVaR): -4.11
  • Last Trade Date: 2025-05-20 10:30:00
  • Max Consecutive Wins: 8
  • Number Winning Trades 396
  • Max Consecutive Losses: 5
  • Number Losing Trades: 294
  • Gain/Pain Ratio: -5.52
  • Gain/Pain (1M): 1.38
  • Payoff Ratio: 1.03
  • Common Sense Ratio: 1.38
  • Tail Ratio: 1.06
  • Outlier Win Ratio: 2.91
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.07
  • Serenity Index: 338.09

AI Trading Bot Quantitative Analyst

Typing...

Performance Analysis

Analyzing the QuantStats report reveals several key performance metrics that provide insight into the strategy's effectiveness:

Metric Value
Sharpe Ratio 0.731
Profit Factor 1.403
Maximum Drawdown 22.53%
CAGR 112.67%
Volatility (Annualized) 47.84%
Percent Profitable 57.41%

The strategy demonstrates strong performance, with a Sharpe Ratio of 0.731 indicating effective risk-adjusted returns. The Profit Factor of 1.403 suggests profitability, although there is some room for improvement. A maximum drawdown of 22.53% is well within an acceptable range, showcasing solid downside risk management. Additionally, the compound annual growth rate (CAGR) of 112.67% underscores the strategy's robust growth potential.

Strategy Viability

Based on the performance data, the strategy appears viable for real-world trading, particularly given the high CAGR and acceptable drawdown levels. It achieves profitability more than half the time (57.41%), with a positive skew towards winning trades. These factors contribute to its potential success under current market conditions, making it a compelling option particularly in volatile crypto markets where such performance metrics are valuable.

Risk Management

The strategy's risk management approach effectively minimizes drawdowns (22.53%) and incorporates a Sharpe Ratio (0.731) that suggests sound risk/reward balances. However, managing the relatively high volatility (47.84%) could benefit from further refinement. Considerations include:

  • Using dynamic position sizing to adjust the exposure in response to market volatility.
  • Implementing tighter stop-loss measures to further reduce potential losses.
  • Conducting stress tests to explore the resilience during extreme market fluctuations, further enhancing risk management.

Improvement Suggestions

There are several opportunities to enhance the strategy's performance and robustness:

  • Optimize the strategy parameters to increase the Profit Factor and reduce drawdown while maintaining profitable trade rates.
  • Integrate more advanced indicators to refine entry and exit points for trades.
  • Broaden the spectrum of technical and fundamental indicators to capture more market dynamics.
  • Implement out-of-sample testing to ensure reliability and performance across various market scenarios.
  • Consider decreasing leverage to bring down max drawdown further, aiming to simultaneously improve the strategy’s stability and appeal to risk-averse investors.

Final Opinion

In conclusion, the strategy shows strong potential, with a good Sharpe Ratio and acceptable levels of drawdown. It demonstrates impressive annual growth and acceptable risk management practices. However, room for optimization remains, enabling the strategy to navigate and capitalize on diverse market conditions more effectively.

Recommendation: Proceed with the strategy, but continue to refine its parameters, improve risk management practices, and conduct further testing to ensure sustainability and minimize risks in varying crypto 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%0.00%0.00%0.00%0.00%0.00%0.00%0.00%12.57%-5.89%
20213.86%6.60%-5.63%-3.31%3.47%-0.75%20.99%-14.46%20.25%3.85%11.32%3.94%
20227.82%13.67%6.32%10.11%14.46%14.54%11.55%6.13%4.86%5.97%1.57%2.85%
20230.23%20.44%15.07%5.49%-1.97%10.86%2.94%14.26%0.48%-1.05%6.89%13.04%
20249.82%23.51%2.00%13.58%16.73%-5.95%11.91%15.34%2.83%4.47%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

171

Number of Trades

62.04%

Cumulative Returns

52.63%

Win Rate

2024-05-28

🟠 Incubation started

🛡️

7 Days

20.6%

30 Days

53.64%

60 Days

18.22%

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 Profit1626310.771626.311269453.321269.45356857.45356.86
Gross Profit4062831.524062.832638996.652639.01423834.871423.83
Gross Loss2436520.752436.521369543.331369.541066977.421066.98
Commission Paid319045.36204803.71114241.65
Buy & Hold Return870823.93870.82
Max Equity Run-up1631258.8594.49
Max Drawdown143042.722.53
Max Contracts Held1160.01073.01160.0
Total Closed Trades520.0318.0202.0
Total Open Trades0.00.00.0
Number Winning Trades306.0190.0116.0
Number Losing Trades214.0128.086.0
Percent Profitable58.8559.7557.43
Avg P&l3127.520.343991.990.351766.620.33
Avg Winning Trade13277.231.9213889.461.8412274.442.05
Avg Losing Trade11385.611.9210699.561.8712406.711.99
Ratio Avg Win / Avg Loss1.1661.2980.989
Largest Winning Trade90566.4490566.4487673.69
Largest Winning Trade Percent5.673.615.67
Largest Losing Trade55311.4355311.4352807.94
Largest Losing Trade Percent3.393.393.35
Avg # Bars In Trades14.015.013.0
Avg # Bars In Winning Trades14.015.011.0
Avg # Bars In Losing Trades15.014.015.0
Sharpe Ratio0.831
Sortino Ratio2.551
Profit Factor1.6671.9271.334
Margin Calls0.00.00.0
All USDAll %Long USDLong %Short USDShort %
Open P&l-56794.98-1.88
Net Profit2927835.912927.841227193.281227.191700642.631700.64
Gross Profit10341449.610341.455177110.355177.115164339.245164.34
Gross Loss7413613.697413.613949917.073949.923463696.613463.7
Commission Paid845979.23465848.48380130.75
Buy & Hold Return533208.12533.21
Max Equity Run-up3142904.0797.06
Max Drawdown569664.6422.53
Max Contracts Held3465.03416.03465.0
Total Closed Trades690.0397.0293.0
Total Open Trades1.01.00.0
Number Winning Trades396.0228.0168.0
Number Losing Trades294.0169.0125.0
Percent Profitable57.3957.4357.34
Avg P&l4243.240.283091.170.255804.240.31
Avg Winning Trade26114.771.8922706.621.7930740.112.02
Avg Losing Trade25216.371.8923372.291.8227709.572.0
Ratio Avg Win / Avg Loss1.0360.9721.109
Largest Winning Trade121465.41121465.41116747.34
Largest Winning Trade Percent8.013.618.01
Largest Losing Trade107364.69104791.9107364.69
Largest Losing Trade Percent3.483.393.48
Avg # Bars In Trades14.015.013.0
Avg # Bars In Winning Trades13.015.011.0
Avg # Bars In Losing Trades15.015.016.0
Sharpe Ratio0.732
Sortino Ratio2.224
Profit Factor1.3951.3111.491
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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