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jarrad6045 superFVMA+zlV5 btcusdt 30m 04.06

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🚀 Super FVMA + Zero Lag [v5] by @DaviddTech 🤖 [2e4672e2]

🛡️ SUPERFVMA+ZLV5 BTCUSDT 30M 04.06 @jarrad6045

TREND FOLOWING
30 minutes

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


⚪️ Deep Backtest

Last updated: 1 hour ago

34909.09%

Net Profit

60.11%

Win Rate

1093

Total Closed Trades

1.137

Profit Factor

🛡️ %

Max Drawdown

1099.34% 🔥

Incubation Delta

Trades per Day

Key Performance Metrics

  • First Traded Date: 2020-03-30 05:00:00
  • Sharpe Ratio: 0.62
  • Sortino Ratio: 2.22
  • Calmar: -0.89
  • Longest DD Days: 106.00
  • Volatility: 31.17
  • Skew: -0.28
  • Kurtosis: -0.67
  • Expected Daily: 0.16
  • Expected Monthly: 3.35
  • Expected Yearly: 48.49
  • Kelly Criterion: 7.37
  • Daily Value-at-Risk: -3.46
  • Expected Shortfall (cVaR): -3.66
  • Last Trade Date: 2025-05-19 17:30:00
  • Max Consecutive Wins: 9
  • Number Winning Trades 657
  • Max Consecutive Losses: 7
  • Number Losing Trades: 436
  • Gain/Pain Ratio: -0.89
  • Gain/Pain (1M): 1.14
  • Payoff Ratio: 0.76
  • Common Sense Ratio: 1.14
  • Tail Ratio: 0.95
  • Outlier Win Ratio: 0.00
  • Outlier Loss Ratio: 2.31
  • Recovery Factor: 0.00
  • Ulcer Index: 0.10
  • Serenity Index: 10.43

AI Trading Bot Quantitative Analyst

Typing...

Performance Analysis

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

Metric Strategy
Sharpe Ratio 0.631
Profit Factor 1.15
Maximum Drawdown 46.94%
Volatility (Annualized) 31.12%
CAGR 35.63%

The strategy yields a reasonably positive Sharpe Ratio of 0.631, which is considered good in the context of crypto trading. The Profit Factor of 1.15, while positive, indicates that for every dollar lost, only $1.15 is earned, suggesting room for improvement. The maximum drawdown of 46.94% is above the optimal threshold, which highlights a potential area for refinement, particularly in managing risk and potential losses. However, the annualized volatility of 31.12% is moderate for crypto assets, indicating a controlled level of volatility.

Strategy Viability

Based on the data provided, this strategy shows potential for real-world trading, particularly because of its reasonable Sharpe Ratio and CAGR of 35.63%. However, the high drawdown suggests that adjustments in leverage use or risk management are necessary. It is important to analyze this strategy under various market conditions and ensure it performs consistently well, especially during market downturns.

Risk Management

The risk management approach highlighted by the QuantStats report indicates several areas for improvement:

  • Consider reducing leverage to decrease the maximum drawdown and the associated risk.
  • Enhance stop-loss mechanisms to protect against large, unexpected market movements.
  • Utilize volatility-based position sizing to adapt to changing market conditions, thereby optimizing exposure.

Improvement Suggestions

To further enhance the strategy’s performance and robustness, consider the following recommendations:

  • Explore optimizing strategy parameters to bolster gains while managing and reducing drawdowns.
  • Investigate integrating additional technical indicators to refine market entry and exit points for better timing.
  • Carry out extensive back-testing across different market cycles to validate the strategy’s strength in diverse conditions.
  • Implement advanced risk management practices, such as employing Value-at-Risk (VaR) for better risk awareness and control.

Final Opinion

In summary, the strategy demonstrates promising potential with a good Sharpe Ratio and annualized returns. However, heightened drawdown levels warrant immediate attention and indicate the need for improved risk management. Optimizing leverage and refining trade execution protocols can strengthen both the strategy's performance and its resilience.

Recommendation: Proceed with refining and optimizing the strategy. Focus on enhancing risk management to lower drawdowns and validate its effectiveness through rigorous testing under varied 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%-0.42%43.19%15.51%-1.87%2.64%22.03%3.60%29.56%24.49%13.93%
20210.11%24.47%36.58%21.34%-7.48%58.31%22.95%0.10%6.06%9.02%-0.61%16.06%
20223.81%25.20%-0.56%12.25%26.81%4.99%35.07%4.56%13.57%8.75%-1.06%13.56%
202336.26%17.05%25.77%-6.67%1.31%4.64%-4.11%9.64%0.71%9.52%-23.00%-3.13%
202429.40%27.08%22.71%21.50%-2.82%-11.87%11.69%4.39%-2.43%12.72%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

215

Number of Trades

20.05%

Cumulative Returns

53.95%

Win Rate

2024-06-04

🟠 Incubation started

🛡️

7 Days

6.91%

30 Days

54.78%

60 Days

31.5%

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&l-7710.97-2.27
Net Profit338097.5533809.75238123.6423812.3699973.99997.39
Gross Profit1477244.45147724.45799711.5779971.16677532.8867753.29
Gross Loss1139146.91113914.69561587.9356158.79577558.9857755.9
Commission Paid119929.7360876.059053.73
Buy & Hold Return10684.071068.41
Max Equity Run-up404729.9899.76
Max Drawdown73263.5835.21
Max Contracts Held20.018.020.0
Total Closed Trades878.0449.0429.0
Total Open Trades1.01.00.0
Number Winning Trades541.0287.0254.0
Number Losing Trades337.0162.0175.0
Percent Profitable61.6263.9259.21
Avg P&l385.080.39530.340.52233.040.26
Avg Winning Trade2730.581.972786.452.152667.451.77
Avg Losing Trade3380.262.143466.592.373300.341.93
Ratio Avg Win / Avg Loss0.8080.8040.808
Largest Winning Trade16359.1116359.1115777.22
Largest Winning Trade Percent12.7612.763.35
Largest Losing Trade18163.8218163.8217920.37
Largest Losing Trade Percent8.878.873.05
Avg # Bars In Trades32.039.025.0
Avg # Bars In Winning Trades28.034.020.0
Avg # Bars In Losing Trades39.046.032.0
Sharpe Ratio0.725
Sortino Ratio3.269
Profit Factor1.2971.4241.173
Margin Calls0.00.00.0
All USDAll %Long USDLong %Short USDShort %
Open P&l0.00.0
Net Profit349090.8634909.09184316.9218431.69164773.9416477.39
Gross Profit2898943.06289894.311492888.5149288.851406054.55140605.46
Gross Loss2549852.2254985.221308571.59130857.161241280.61124128.06
Commission Paid249236.84125831.5123405.34
Buy & Hold Return16932.771693.28
Max Equity Run-up489017.8499.81
Max Drawdown224201.4346.94
Max Contracts Held20.018.020.0
Total Closed Trades1093.0556.0537.0
Total Open Trades0.00.00.0
Number Winning Trades657.0343.0314.0
Number Losing Trades436.0213.0223.0
Percent Profitable60.1161.6958.47
Avg P&l319.390.32331.510.4306.840.23
Avg Winning Trade4412.391.934352.442.084477.881.76
Avg Losing Trade5848.282.116143.532.35566.281.92
Ratio Avg Win / Avg Loss0.7540.7080.804
Largest Winning Trade18609.1618609.1617007.65
Largest Winning Trade Percent12.7612.763.35
Largest Losing Trade21555.2921555.2918811.56
Largest Losing Trade Percent8.878.873.08
Avg # Bars In Trades32.039.025.0
Avg # Bars In Winning Trades29.036.022.0
Avg # Bars In Losing Trades37.044.029.0
Sharpe Ratio0.621
Sortino Ratio2.217
Profit Factor1.1371.1411.133
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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