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DaviddTech
DaviddTech
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igorek stifftrend btcusdt 30m 28.05

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StiffTrend by @DaviddTech 🤖 [5cce10d6]

🛡️ STIFFTREND BTCUSDT 30M 28.05 @igorek

TREND FOLOWING
30 minutes

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


⚪️ Deep Backtest

Last updated: 1 hour ago

8317.25%

Net Profit

36.33%

Win Rate

289

Total Closed Trades

1.421

Profit Factor

🛡️ %

Max Drawdown

1238.88% 🔥

Incubation Delta

Trades per Day

Key Performance Metrics

  • First Traded Date: 2020-04-01 00:00:00
  • Sharpe Ratio: 0.49
  • Sortino Ratio: 1.84
  • Calmar: -4.49
  • Longest DD Days: 29.00
  • Volatility: 114.46
  • Skew: 1.00
  • Kurtosis: -0.32
  • Expected Daily: 1.80
  • Expected Monthly: 45.38
  • Expected Yearly: 8,814.44
  • Kelly Criterion: 10.23
  • Daily Value-at-Risk: -5.59
  • Expected Shortfall (cVaR): -6.10
  • Last Trade Date: 2025-05-20 11:30:00
  • Max Consecutive Wins: 5
  • Number Winning Trades 105
  • Max Consecutive Losses: 9
  • Number Losing Trades: 184
  • Gain/Pain Ratio: -4.49
  • Gain/Pain (1M): 1.39
  • Payoff Ratio: 2.46
  • Common Sense Ratio: 1.39
  • Tail Ratio: 2.81
  • Outlier Win Ratio: 1.65
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.10
  • Serenity Index: 326.80

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 8324.88%
Annualized Return (CAGR %) 137.09%
Sharpe Ratio 0.496
Profit Factor 1.42
Maximum Drawdown -31.48%
Volatility (Annualized) 114.59%

The strategy delivers a robust cumulative return of 8324.88% with an impressive annualized return (CAGR) of 137.09%. Although slightly below the threshold of 0.5, the Sharpe Ratio of 0.496 suggests nearly good risk-adjusted returns. Importantly, the maximum drawdown of -31.48% is kept below the 40% threshold, indicating a reasonable level of downside risk management, especially in the volatile crypto market.

Strategy Viability

In the context of real-world trading, this strategy demonstrates promising potential, especially given the high cumulative and annualized returns. The strategy proves resilient under the sampled market conditions, and its performance metrics indicate it can navigate through significant market volatility efficiently. With the current crypto market conditions showing adaptability, the strategy appears viable for continued use.

Risk Management

The report shows effective measures in place to minimize risk while maintaining strong returns. The maximum drawdown staying significantly below 40% is a positive indicator. However, the reported annualized volatility of 114.59% suggests opportunities to enhance the strategy's ability to handle volatility:

  • Consider using less leverage to manage and control drawdowns more efficiently.
  • Incorporate advanced volatility assessment techniques to adjust positions according to market conditions.
  • Maintaining dynamic stop-loss parameters could serve to cap potential losses further.

Improvement Suggestions

To fortify the strategy’s robustness and improve its performance, the following techniques should be considered:

  • Explore optimization of strategy parameters to strengthen the balance between returns and drawdown.
  • Diversify the types of trades or consider additional market factors or indicators to refine trade timing and execution.
  • Conduct robust out-of-sample testing and forward testing to authenticate the strategy’s credibility across various market conditions.
  • Integrate comprehensive Value-at-Risk (VaR) methodologies and stress testing in the risk management framework to account for extreme market events.

Final Opinion

In summary, this strategy makes a convincing case for its potential with solid returns and acceptable risk-adjusted metrics. While performing well under current conditions, it shows room for improvement, particularly in further enhancing risk management and optimizing parameters for further testing.

Recommendation: Continue with further refinements of the strategy by implementing suggested improvements. Increased robustness can be achieved by optimizing the current approach and embracing advanced risk management strategies to manage high market volatility effectively.

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%5.81%-3.24%-2.02%17.78%3.15%-9.50%34.45%56.02%32.97%
20210.00%20.02%15.93%3.82%3.83%-2.29%12.76%0.07%10.47%41.81%19.70%2.16%
202217.81%32.94%5.31%-14.49%23.21%-9.96%5.80%-1.52%15.64%-3.74%9.23%-7.28%
202327.39%4.89%8.18%-2.92%-11.51%11.84%-5.72%3.90%4.33%42.00%14.59%6.86%
2024-12.10%49.20%-7.35%16.17%2.66%-8.64%5.71%-1.74%-12.64%11.44%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

61

Number of Trades

26.18%

Cumulative Returns

24.59%

Win Rate

2024-05-28

🟠 Incubation started

🛡️

7 Days

17.38%

30 Days

23.89%

60 Days

4.55%

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&l137298.681.91
Net Profit7078372.37078.376217474.656217.47860897.65860.9
Gross Profit16803047.5816803.0513609767.3513609.773193280.243193.28
Gross Loss9724675.299724.687392292.77392.292332382.592332.38
Commission Paid643482.5473046.26170436.24
Buy & Hold Return958572.46958.57
Max Equity Run-up7933871.4198.89
Max Drawdown1282049.6723.2
Max Contracts Held287.0283.0287.0
Total Closed Trades229.0182.047.0
Total Open Trades1.00.01.0
Number Winning Trades90.065.025.0
Number Losing Trades139.0117.022.0
Percent Profitable39.335.7153.19
Avg P&l30909.920.9934161.950.9718316.971.04
Avg Winning Trade186700.535.42209381.046.14127731.213.55
Avg Losing Trade69961.691.8863181.991.9106017.391.81
Ratio Avg Win / Avg Loss2.6693.3141.205
Largest Winning Trade1037243.741037243.74637472.62
Largest Winning Trade Percent9.269.265.21
Largest Losing Trade494536.11494536.11359362.94
Largest Losing Trade Percent3.063.062.82
Avg # Bars In Trades86.086.086.0
Avg # Bars In Winning Trades102.0111.081.0
Avg # Bars In Losing Trades75.072.092.0
Sharpe Ratio0.566
Sortino Ratio2.414
Profit Factor1.7281.8411.369
Margin Calls0.00.00.0
All USDAll %Long USDLong %Short USDShort %
Open P&l-187866.25-2.23
Net Profit8317247.558317.258991649.118991.65-674401.56-674.4
Gross Profit28066400.3528066.423459153.6923459.154607246.664607.25
Gross Loss19749152.819749.1514467504.5814467.55281648.225281.65
Commission Paid1227993.52910525.54317467.98
Buy & Hold Return1526408.121526.41
Max Equity Run-up9753154.5499.09
Max Drawdown2400863.1131.48
Max Contracts Held287.0283.0287.0
Total Closed Trades289.0227.062.0
Total Open Trades1.01.00.0
Number Winning Trades105.076.029.0
Number Losing Trades184.0151.033.0
Percent Profitable36.3333.4846.77
Avg P&l28779.40.7739610.790.82-10877.440.6
Avg Winning Trade267299.055.43308673.076.18158870.573.45
Avg Losing Trade107332.351.8895811.291.88160049.951.91
Ratio Avg Win / Avg Loss2.493.2220.993
Largest Winning Trade1279426.811279426.81637472.62
Largest Winning Trade Percent9.269.265.21
Largest Losing Trade494536.11494536.11474297.87
Largest Losing Trade Percent3.063.062.82
Avg # Bars In Trades89.090.086.0
Avg # Bars In Winning Trades112.0127.074.0
Avg # Bars In Losing Trades76.072.096.0
Sharpe Ratio0.494
Sortino Ratio1.835
Profit Factor1.4211.6220.872
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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