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gerryb00246 t3nexus 1000pepeusdt 30m 22.04.2025

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30 minutes @gerryb00246
● Live

T3NEXUS 1000PEPEUSDT 30M 22.04.2025

Trading Pair
1000PEPE
Base Currency
by DaviddTech - July 10, 2025
0

Performance Overview

Live Trading
Last 7 days: +28.15% Updated 3 hours ago
Total Return Primary
84199.88%
Net Profit Performance
Win Rate Success
47.2%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.765
Risk-Reward Ratio
Incubation Delta Live
62718.64%
Live vs Backtest
Total Trades Volume
733
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
May 17, 2023
818
Days
733
Trades
Last Trade
Aug 12, 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: 2023-05-17 16:00:00
  • Sharpe Ratio: 1.26
  • Sortino Ratio: 9.13
  • Calmar: -26.27
  • Longest DD Days: 119.00
  • Volatility: 58.61
  • Skew: 1.54
  • Kurtosis: 5.23
  • Expected Daily: 0.70
  • Expected Monthly: 15.81
  • Expected Yearly: 482.10
  • Kelly Criterion: 19.86
  • Daily Value-at-Risk: -3.79
  • Expected Shortfall (cVaR): -5.47
  • Last Trade Date: 2025-08-12 02:00:00
  • Max Consecutive Wins: 6
  • Number Winning Trades 346
  • Max Consecutive Losses: 9
  • Number Losing Trades: 387
  • Gain/Pain Ratio: -26.27
  • Gain/Pain (1M): 1.73
  • Payoff Ratio: 1.94
  • Common Sense Ratio: 1.73
  • Tail Ratio: 1.94
  • Outlier Win Ratio: 3.45
  • Outlier Loss Ratio: 5.69
  • Recovery Factor: 0.00
  • Ulcer Index: 0.06
  • Serenity Index: 4,644.40

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
20230.00%0.00%0.00%0.00%22.12%21.44%30.80%0.89%14.24%25.66%-13.94%41.96%
202440.21%62.12%0.83%23.20%17.91%7.45%37.53%27.09%75.92%22.75%32.64%18.97%
202545.32%••••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

118

Number of Trades

184.44%

Cumulative Returns

47.46%

Win Rate

2025-04-22

🟠 Incubation started

🛡️

7 Days

52.79%

30 Days

456.8%

60 Days

138.61%

90 Days

Strategy Audit & Screenshots

Visual verification of strategy performance with TradingView screenshots

  • Performance (Backtest)
  • Performance (Forward Test)
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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, several performance metrics stand out that merit attention:

Metric Strategy
Cumulative Return 84199.88%
Annualized Return (CAGR %) 766.33%
Sharpe Ratio 1.26
Profit Factor 1.765
Maximum Drawdown -56.51%
Volatility (Annualized) 58.84%

The strategy exhibits impressive returns with a cumulative gain of 84199.88% and an annualized return of 766.33%. The Sharpe Ratio of 1.26 greatly exceeds the threshold for crypto strategies, demonstrating strong risk-adjusted performance. The Profit Factor of 1.765 is robust, indicating a favorable profit-to-loss ratio. However, the maximum drawdown of -56.51% stands out as a critical area for improvement.

Strategy Viability

Based on the data provided, this strategy appears to be viable for real-world trading, though it requires vigilance in managing drawdowns effectively. It performs particularly well with high expected returns both daily and annually. The Sharpe Ratio indicates good returns for the amount of risk taken, suggesting it is a competent strategy under current market conditions.

Risk Management

The strategy's risk management is moderate, as evidenced by the high drawdown. To better manage risk while maintaining healthy returns, consider the following approaches:

  • Use less leverage to decrease maximum drawdown, enhancing overall stability.
  • Incorporate robust stop-loss mechanisms to limit potential large losses.
  • Evaluate position sizing strategies to prevent excessive exposure during volatile market conditions.

Improvement Suggestions

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

  • Optimize parameters that could balance out higher returns with lower drawdowns.
  • Enhance the strategy with additional technical indicators or machine learning models to better predict market movements.
  • Conduct further backtesting over different market cycles and conditions to stress test its robustness.

Final Opinion

In summary, the strategy demonstrates strong performance with significant returns and commendable risk-adjusted metrics. However, the high maximum drawdown is an area that necessitates improvement to ensure longevity and stability.

Recommendation: Continue with this strategy with improvements focused on reducing maximum drawdown through effective risk management and optimization. Pursue further testing to ensure robustness across various market scenarios.

⚡ 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...

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