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Traders should know
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traderdev t3nexus+stiff xlmusdt 30m 22.04.2025

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30 minutes @traderdev
● Live

T3NEXUS+STIFF XLMUSDT 30M 22.04.2025

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

Performance Overview

Live Trading
Last 7 days: +18.45% Updated 4 hours ago
Total Return Primary
3221.96%
Net Profit Performance
Win Rate Success
50.44%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.615
Risk-Reward Ratio
Incubation Delta Live
2571.64%
Live vs Backtest
Total Trades Volume
456
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Apr 30, 2024
463
Days
456
Trades
Last Trade
Aug 6, 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: 2024-04-30 13:00:00
  • Sharpe Ratio: 0.61
  • Sortino Ratio: 5.14
  • Calmar: -12.00
  • Longest DD Days: 68.00
  • Volatility: 32.93
  • Skew: 0.40
  • Kurtosis: 0.48
  • Expected Daily: 0.34
  • Expected Monthly: 7.38
  • Expected Yearly: 134.97
  • Kelly Criterion: 19.54
  • Daily Value-at-Risk: -2.65
  • Expected Shortfall (cVaR): -3.69
  • Last Trade Date: 2025-08-06 01:00:00
  • Max Consecutive Wins: 8
  • Number Winning Trades 230
  • Max Consecutive Losses: 7
  • Number Losing Trades: 226
  • Gain/Pain Ratio: -12.00
  • Gain/Pain (1M): 1.63
  • Payoff Ratio: 1.59
  • Common Sense Ratio: 1.63
  • Tail Ratio: 1.49
  • Outlier Win Ratio: 2.71
  • Outlier Loss Ratio: 3.72
  • Recovery Factor: 0.00
  • Ulcer Index: 0.05
  • Serenity Index: 120.53

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
20240.00%0.00%0.00%11.56%15.46%23.74%61.43%54.56%9.70%-20.29%72.72%-1.84%
20253.56%••••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

125

Number of Trades

172.83%

Cumulative Returns

56%

Win Rate

2025-04-22

🟠 Incubation started

🛡️

7 Days

62.94%

30 Days

342.24%

60 Days

164.52%

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
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Comprehensive Strategy Analysis

AI Generated

Performance Analysis

Upon reviewing the QuantStats report, several performance metrics stand out as noteworthy:

Metric Strategy
Cumulative Return 3221.96%
Annualized Return (CAGR %) 219.34%
Sharpe Ratio 0.608
Profit Factor 1.615
Maximum Drawdown -46.63%
Volatility (Annualized) 32.68%

The strategy yields an outstanding cumulative return of 3221.96% and a commendable annualized return of 219.34%. The Sharpe Ratio of 0.608 reflects acceptable risk-adjusted returns, while the profit factor of 1.615 is promising, indicating profitability with more profits per dollar of risk. However, the maximum drawdown of -46.63% is higher than ideal, signaling potential risk concerns, particularly during market downturns.

Strategy Viability

The strategy appears viable for real-world trading, predominantly in bullish or stable market conditions, as evidenced by its significant returns and favorable risk metrics. However, the high drawdown indicates that during volatile or bearish markets, caution is advised. Properly identifying and operating under conducive market conditions will be key to maintaining its current level of performance and protection against unfavorable conditions.

Risk Management

The risk management approach demonstrates areas for improvement, notably due to the significant maximum drawdown. Recommendations for risk management include:

  • Reducing leverage to decrease maximum drawdown and enhance stability.
  • Employing adaptive position sizing to negotiate with volatility more effectively.
  • Incorporating comprehensive stop-loss mechanisms to limit larger losses.
  • Exploring diversification to diminish unsystematic risks.

Improvement Suggestions

To enhance the strategy's performance and resilience, consider the following suggestions:

  • Optimization of strategy parameters for a balanced gain and risk profile.
  • Inclusion of additional technical indicators to refine trade execution.
  • Conduct thorough backtesting and forward testing across varied market climates to ascertain robustness.
  • Integrating advanced risk management techniques like VaR and stress testing for better risk assessment.
  • Experimenting with leverage adjustments to pinpoint an optimal balance between return and drawdown control.

Final Opinion

Summarizing, the strategy shows a strong capacity for high returns and decent risk-adjusted metrics. Despite a high drawdown, it effectively rebounded, suggesting room for improvement in risk management. To ensure resilience across unexpected market movements, further optimization is necessary to safeguard against potential losses.

Recommendation: Further refine and optimize the strategy, particularly focusing on risk management improvements. Leverage reduction is advised to mitigate drawdown concerns, allowing for robust application across various market situations.

⚡ 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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