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Traders should know
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mcginley btcusdt 30min

  • Homepage
TREND FOLOWING 30 minutes @A-Dog
● Live

🚀 McGinley Trend Followers [v5] by @DaviddTech 🤖 [efb76cff]

🛡️ MCGINLEY BTCUSDT 30MIN

Trading Pair
ETH
Base Currency
by DaviddTech - January 17, 2024
0

Performance Overview

Live Trading
Last 7 days: +5.87% Updated 2 hours ago
Total Return Primary
1050.52%
Net Profit Performance
Win Rate Success
49.83%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.404
Risk-Reward Ratio
Incubation Delta Live
979.51%
Live vs Backtest
Total Trades Volume
572
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Oct 29, 2020
1,748
Days
572
Trades
Last Trade
Aug 9, 2025
ℹ️ All backtests include realistic trading fees and slippage

Strategy Analysis & Data

Comprehensive performance metrics and detailed analysis

Performance Metrics

Detailed trading performance analysis and key metrics

Trades per Day

Key Performance Metrics

  • First Traded Date: 2020-10-29 16:30:00
  • Sharpe Ratio: 0.29
  • Sortino Ratio: 0.62
  • Calmar: -0.93
  • Longest DD Days: 188.00
  • Volatility: 98.06
  • Skew: 0.47
  • Kurtosis: 0.37
  • Expected Daily: 0.63
  • Expected Monthly: 14.16
  • Expected Yearly: 389.98
  • Kelly Criterion: 14.61
  • Daily Value-at-Risk: -5.49
  • Expected Shortfall (cVaR): -7.50
  • Last Trade Date: 2025-08-09 05:00:00
  • Max Consecutive Wins: 13
  • Number Winning Trades 285
  • Max Consecutive Losses: 9
  • Number Losing Trades: 287
  • Gain/Pain Ratio: -0.93
  • Gain/Pain (1M): 1.41
  • Payoff Ratio: 1.42
  • Common Sense Ratio: 1.41
  • Tail Ratio: 1.40
  • Outlier Win Ratio: 3.40
  • Outlier Loss Ratio: 2.71
  • Recovery Factor: 0.00
  • Ulcer Index: 0.42
  • Serenity Index: 9.93

Trade Analysis

Individual trade breakdown and analysis

List of Trades

Key : Pink Background = Live Trades | Black Background = Backtest Trades

Monthly Profit & Loss

Monthly performance breakdown with profit/loss indicators


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.

Incubation Period
Live Trading

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Year/MonthJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
20200.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%-5.33%2.68%-7.98%
20215.04%8.95%-37.98%1.90%-16.75%-26.33%13.77%-14.87%-0.64%11.86%17.40%-10.88%
202213.26%17.47%-0.81%20.23%30.82%26.66%60.49%-8.94%17.82%-10.89%-6.30%-8.83%
202314.14%25.09%5.96%26.54%-26.56%-15.75%0.47%-2.61%-3.33%-1.54%-6.60%-4.22%
2024-7.58%-5.72%-35.16%33.28%20.62%11.06%24.87%25.63%21.40%-1.42%8.69%-24.38%
202543.60%••••Login to see results••••Login to see results••••Login to see results••••Login to see results••••Login to see results••••Login to see results••••Login to see results0.00%0.00%0.00%0.00%

Live Trading Statistics

Real-time trading performance and statistics

Live Trades Stats

240

Number of Trades

242.58%

Cumulative Returns

52.5%

Win Rate

2023-10-17

🟠 Incubation started

🛡️

7 Days

34.75%

30 Days

81.38%

60 Days

66.71%

90 Days

Strategy Audit & Screenshots

Visual verification of strategy performance with TradingView screenshots

  • Performance (Backtest)
  • Performance (Forward Test)
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Waiting for file

TradingView Screenshots

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⚪️ Other Backtest

AI Quantitative Analysis

Advanced AI-powered insights and strategy analysis

AI Quantitative Analyst

Ready to analyze
Risk Analysis
Performance Metrics
Market Insights
🤖
Hello! I'm your AI Quantitative Analyst. I can provide deep insights into this trading strategy's performance, risk metrics, and market behavior. What would you like to know?
Just now
📊

Comprehensive Strategy Analysis

AI Generated

Performance Analysis

Upon reviewing the provided QuantStats report, the performance metrics reveal some insights into the strategy's effectiveness:

Metric Strategy
Cumulative Return 1050.52%
Annualized Return (CAGR %) 66.86%
Sharpe Ratio 0.288
Profit Factor 1.404
Maximum Drawdown -74.75%
Volatility (Annualized) 98%

The strategy displays a robust cumulative return of 1050.52% and a respectable annualized return of 66.86%, pointing to strong overall growth. However, the Sharpe ratio of 0.288 indicates that the risk-adjusted performance is below the desired threshold, suggesting improvements can be made. The maximum drawdown of -74.75% poses a significant risk, although the average drawdown is better at 34.24%.

Strategy Viability

Given the data, the strategy has potential but requires certain adjustments for it to be viable for real-world trading. While the cumulative and annualized returns are promising, the risk indicators such as a high drawdown and a lower Sharpe ratio indicate areas of concern. The strategy might benefit from adaptation to current market conditions more effectively. Additionally, compared to industry benchmarks, improvements in risk management could enhance overall viability.

Risk Management

Effective risk management is vital for maintaining long-term strategy viability. Although the drawdown levels are high, there are several avenues for potential improvement:

  • Reduce leverage to help manage and reduce the maximum drawdown from its current 74.75% level.
  • Implement tighter stop-loss mechanisms to limit downside risk more effectively.
  • Adopt dynamic position sizing, adjusting as needed based on market conditions to mitigate potential losses.

Improvement Suggestions

To enhance the strategy’s performance and manage risk more effectively, consider the following recommendations:

  • Optimize parameters and leverage to improve risk-adjusted returns while carefully monitoring drawdown levels.
  • Incorporate additional technical indicators to improve precision in trade timing, thereby optimizing entry and exit points.
  • Conduct comprehensive out-of-sample testing to assess the robustness of the strategy across different market environments.
  • Consider implementing advanced risk management techniques, such as portfolio diversification and stress testing, to improve resilience.

Final Opinion

In summary, the strategy shows potential with high cumulative returns. However, improvements are required to bolster its risk-adjusted metrics and minimize drawdowns. By optimizing certain aspects, the strategy could become more robust and better suited to cope with market volatility.

Recommendation: Proceed with adjustments and further testing of the strategy. Focus on improving risk management and leverage adjustments to align with realistic trading scenarios, thereby enhancing overall performance and sustainability.

⚡ Generated in 3.2s
🎯 95% Confidence
📈 Risk-Reward Analysis
📊 Performance Metrics
🎯 Market Comparison
AI is analyzing the strategy...

Advanced Markov Motor Analysis

Sophisticated analysis of strategy edge degradation, rolling metrics, and Markov chain properties

Analysis Controls

Live Analysis
20 trades
1.2 PF
Rolling Performance Metrics
📈
Current Trend
Analyzing...
⚡
Edge Strength
Calculating...
Markov State Transitions
W L Win/Loss States
Transition Probabilities
From/To
Win
Loss
Win
0.00
0.00
Loss
0.00
0.00
Edge Decay Analysis
Edge Intact
Consistency Score
--
Stability Index
--
Trend Strength
--
Return Distribution Analysis
Skewness --
Kurtosis --
Tail Risk --
Market Regime Detection
Analyzing...
Favorable Regime %
--
Avg Regime Duration
--
Current Regime Age
--

Markov Intelligence Insights

Analyzing strategy patterns...

📹 Strategy Deep Dive

Watch the detailed analysis and access the live chart for this strategy

Strategy Analysis Video

Live TradingView Chart

Open Live ChartView on TradingView

These are invite only scripts you will need to add your TV username here: Add TV username


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How-to import CSV files.

After Downloading the optimiser and installing it on your chrome browser, follow the steps in this video to upload the settings.

The settings will of started to download in the background.

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How-to copy charts

First add enter your TradingView username

To copy other members charts, is simple:

  • A new window in TradingView will of opened.
  • Simply navigate to the top right corner and click "copy" like in the image below.
  • This will copy the chart to your TradingView with all the shared settings.

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