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superFVMA btcusdt 1h

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🚀 Super FVMA + Zero Lag [v5] by @DaviddTech 🤖 [06a15eb1]

🛡️ SUPERFVMA BTCUSDT 1H @zagzag

TREND FOLOWING
1 hour

by DaviddTech - January 17, 2024
0
ℹ️ All backtest include trading fees.


⚪️ Deep Backtest

Last updated: 4 hours ago

511.21%

Net Profit

65.9%

Win Rate

305

Total Closed Trades

1.318

Profit Factor

🛡️ %

Max Drawdown

-314.76% 🤮

Incubation Delta

Trades per Day

Key Performance Metrics

  • First Traded Date: 2020-04-03 01:00:00
  • Sharpe Ratio: 0.43
  • Sortino Ratio: 0.86
  • Calmar: -0.24
  • Longest DD Days: 97.00
  • Volatility: 1.26
  • Skew: -0.46
  • Kurtosis: 0.17
  • Expected Daily: 0.01
  • Expected Monthly: 0.19
  • Expected Yearly: 2.34
  • Kelly Criterion: 16.02
  • Daily Value-at-Risk: -0.14
  • Expected Shortfall (cVaR): -0.16
  • Last Trade Date: 2025-05-08 23:00:00
  • Max Consecutive Wins: 17
  • Number Winning Trades 201
  • Max Consecutive Losses: 8
  • Number Losing Trades: 104
  • Gain/Pain Ratio: -0.24
  • Gain/Pain (1M): 1.32
  • Payoff Ratio: 0.68
  • Common Sense Ratio: 1.32
  • Tail Ratio: 0.75
  • Outlier Win Ratio: 4.25
  • Outlier Loss Ratio: 2.03
  • Recovery Factor: 0.00
  • Ulcer Index: 0.01
  • Serenity Index: 0.53

AI Trading Bot Quantitative Analyst

Typing...

Performance Analysis

The analysis of the provided QuantStats report reveals the following significant performance metrics:

Metric Strategy
CAGR 0.55%
Sharpe Ratio 0.432
Profit Factor 1.318
Maximum Drawdown 44.49%
Volatility (Annualized) 1.26%
Win Rate 65.9%

The strategy shows a relatively low Sharpe ratio of 0.432, marginally below the desired threshold of 0.5 for crypto trading, indicating room for improvement in risk-adjusted returns. The maximum drawdown stands at 44.49%, slightly above the ideal target of 40%, suggesting risk management can be enhanced. However, the win rate of 65.9% is commendably robust, reflecting a strong consistency in capturing profitable trades.

Strategy Viability

Based on the current data, the strategy demonstrates promise but requires further refinement for real-world application. The impressive win rate highlights potential; however, the risk-adjusted performance metrics indicate an opportunity to optimize the strategy. Conditions favoring this strategy should be identified to enhance its application efficacy in evolving market environments.

Risk Management

The strategy indicates adequate management with zero margin calls, yet a key risk metric - the max drawdown, could be optimized. Recommendations include:

  • Using reduced leverage, which might lower the maximum drawdown to within or below the 40% threshold.
  • Enhancing the stop-loss strategy to curb unwarranted losses effectively.
  • Employing volatility-managed asset allocation to help stabilize returns further while mitigating portfolio risk.

Improvement Suggestions

To bolster the strategy’s performance, consider these enhancements:

  • Refining strategy parameters to inch up the Sharpe ratio beyond 0.5 and reduce drawdown figures.
  • Incorporating a broader analytical approach that includes additional technical indicators for superior trade decisions.
  • Exploring out-of-sample and forward-testing scenarios to ensure strategy’s resilience across various market situations.
  • Integrating more sophisticated risk controls, like dynamic position sizing and periodic stress testing methodologies.

Final Opinion

The strategy, while exhibiting strong win consistency, currently underwhelms in terms of risk-adjusted returns and drawdown containment. Nonetheless, many positives underscore its foundational potential.

Recommendation: Make modifications to risk management practices and optimize strategy parameters for enhanced viability. Proceed with supplementary testing while eyeing adjustments to environ future readiness for real-world deployments.

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%8.09%3.10%-3.79%5.69%-0.24%-0.98%-0.97%0.13%1.76%
20217.95%5.80%4.99%7.77%16.09%0.24%5.23%5.15%4.61%7.01%3.43%0.00%
20220.00%3.41%12.69%6.30%0.00%12.91%7.06%13.57%9.55%3.42%12.15%10.71%
202311.06%10.55%16.42%-1.39%-1.96%13.30%-3.29%7.17%2.44%9.06%0.00%-8.48%
2024-4.63%8.39%-6.82%-11.55%6.32%4.30%-5.23%13.95%-11.12%-1.92%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

92

Number of Trades

-38.58%

Cumulative Returns

46.74%

Win Rate

2024-01-03

🟠 Incubation started

🛡️

7 Days

8.72%

30 Days

9.96%

60 Days

-4.34%

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 Profit4584.11825.972379.31428.712204.8397.26
Gross Profit7657.991379.823710.77668.613947.23711.21
Gross Loss3073.88553.851331.45239.91742.43313.95
Commission Paid518.0227.18290.81
Buy & Hold Return3074.81554.02
Max Equity Run-up5088.1890.17
Max Drawdown573.1710.35
Max Contracts Held0.00.00.0
Total Closed Trades213.097.0116.0
Total Open Trades0.00.00.0
Number Winning Trades158.075.083.0
Number Losing Trades55.022.033.0
Percent Profitable74.1877.3271.55
Avg P&l21.520.9224.531.0719.010.81
Avg Winning Trade48.471.9749.482.0447.561.9
Avg Losing Trade55.892.0760.522.2652.81.95
Ratio Avg Win / Avg Loss0.8670.8180.901
Largest Winning Trade331.19117.7331.19
Largest Winning Trade Percent6.174.396.17
Largest Losing Trade175.63154.44175.63
Largest Losing Trade Percent7.177.173.81
Avg # Bars In Trades11.013.09.0
Avg # Bars In Winning Trades11.013.09.0
Avg # Bars In Losing Trades12.013.011.0
Sharpe Ratio0.859
Sortino Ratio3.203
Profit Factor2.4912.7872.265
Margin Calls0.00.00.0
All USDAll %Long USDLong %Short USDShort %
Open P&l0.00.0
Net Profit2837.19511.211678.03302.351159.16208.86
Gross Profit11754.12117.865587.411006.746166.691111.12
Gross Loss8916.911606.653909.38704.395007.53902.26
Commission Paid954.41424.11530.3
Buy & Hold Return7935.261429.78
Max Equity Run-up5088.1890.17
Max Drawdown2463.4744.49
Max Contracts Held0.00.00.0
Total Closed Trades305.0138.0167.0
Total Open Trades0.00.00.0
Number Winning Trades201.097.0104.0
Number Losing Trades104.041.063.0
Percent Profitable65.970.2962.28
Avg P&l9.30.5312.160.686.940.41
Avg Winning Trade58.481.8857.61.9159.31.86
Avg Losing Trade85.742.0895.352.2379.481.98
Ratio Avg Win / Avg Loss0.6820.6040.746
Largest Winning Trade331.19123.17331.19
Largest Winning Trade Percent6.174.396.17
Largest Losing Trade186.44186.44179.11
Largest Losing Trade Percent7.177.173.81
Avg # Bars In Trades12.015.09.0
Avg # Bars In Winning Trades11.013.09.0
Avg # Bars In Losing Trades14.019.010.0
Sharpe Ratio0.432
Sortino Ratio0.864
Profit Factor1.3181.4291.231
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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