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Traders should know
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frikar T3NexusStiff mntusdt 30m 06.08

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TREND FOLOWING 30 minutes @frikar
● Live

T3 Nexus + Stiff @DaviddTech 🤖 [aa87a250]

🛡️ T3NEXUSSTIFF MNTUSDT 30M 06.08

Trading Pair
MNT
Base Currency
by DaviddTech - August 12, 2024
0

Performance Overview

Live Trading
Last 7 days: +0.88% Updated 3 hours ago
Total Return Primary
20605.46%
Net Profit Performance
Win Rate Success
56.14%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.364
Risk-Reward Ratio
Incubation Delta Live
11074.66%
Live vs Backtest
Total Trades Volume
513
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Oct 15, 2023
667
Days
513
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: 2023-10-15 15:30:00
  • Sharpe Ratio: 0.66
  • Sortino Ratio: 3.60
  • Calmar: -2.52
  • Longest DD Days: 134.00
  • Volatility: 6.64
  • Skew: 2.19
  • Kurtosis: 15.67
  • Expected Daily: 0.04
  • Expected Monthly: 0.94
  • Expected Yearly: 11.83
  • Kelly Criterion: 17.28
  • Daily Value-at-Risk: -0.53
  • Expected Shortfall (cVaR): -0.81
  • Last Trade Date: 2025-08-12 02:00:00
  • Max Consecutive Wins: 13
  • Number Winning Trades 288
  • Max Consecutive Losses: 8
  • Number Losing Trades: 225
  • Gain/Pain Ratio: -2.52
  • Gain/Pain (1M): 1.44
  • Payoff Ratio: 1.12
  • Common Sense Ratio: 1.44
  • Tail Ratio: 1.13
  • Outlier Win Ratio: 6.05
  • Outlier Loss Ratio: 4.85
  • Recovery Factor: 0.00
  • Ulcer Index: 0.01
  • Serenity Index: 9.50

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%0.00%0.00%0.00%0.00%0.00%10.24%135.39%69.64%
202454.27%52.26%34.12%24.28%20.14%75.25%31.62%-3.77%-17.95%-14.62%36.47%-8.17%
202548.74%••••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

293

Number of Trades

137.14%

Cumulative Returns

51.19%

Win Rate

2024-08-06

🟠 Incubation started

🛡️

7 Days

70.58%

30 Days

252.86%

60 Days

75.99%

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 (%) 20605.46
Annualized Return (CAGR) 13.15%
Sharpe Ratio 0.658
Profit Factor 1.364
Maximum Drawdown -45.68%
Volatility (Annualized) 6.66%

The strategy exhibits strong cumulative returns of 20605.46% reflecting its capacity for significant profit generation. The Sharpe ratio of 0.658 indicates good risk-adjusted returns, particularly for the crypto market where higher volatility is expected. Although the profit factor of 1.364 shows that the strategy is generally profitable, the maximum drawdown of -45.68% is above the optimal threshold, suggesting potential room for improvement in managing downside risks.

Strategy Viability

Based on the data provided, the strategy appears viable for real-world trading under specific conditions. Its positive Sharpe Ratio suggests that it can efficiently manage risk while pursuing returns. However, the higher maximum drawdown may indicate vulnerability during adverse market conditions that are worth addressing to ensure sustained performance. The strategy's recovery capability, represented by strong historical returns, bodes well for future profitability if optimized.

Risk Management

Effective risk management is foundational to this strategy’s success. While it shows resilience in terms of returns, the downside protection can be enhanced. The following areas warrant consideration for risk management enhancements:

  • Utilize leverage cautiously to mitigate drawdown risk, as leveraging can amplify losses faster than gains.
  • Incorporate tighter stop-loss measures to further protect against significant losses.
  • Evaluate the possibility of adjusting position sizes dynamically based on market volatility.

Improvement Suggestions

In order to enhance the strategy’s robustness and performance further, the following suggestions are recommended:

  • Optimize strategy parameters to reduce drawdown while maintaining returns, easily achievable through backtesting various leverage settings.
  • Expand the set of technical indicators utilized for improved decision making on entry and exit points.
  • Conduct thorough forward-testing inclusively across different market scenarios to validate strategy's adaptability.»
  • Enhance the risk framework by developing stress tests for adverse market conditions to ensure resilience.

Final Opinion

Overall, the strategy showcases powerful return-generating potential alongside meaningful risk-adjusted performance. Although it suffers from a higher-than-optimal drawdown, its foundational elements can be refined and optimized to cultivate a more robust trading approach in the evolving crypto market landscape.

Recommendation: Proceed with cautious optimism. Focus on refining the strategy’s parameters, particularly reducing exposure to drawdowns, and ensure it is thoroughly validated across varying market conditions before larger scale deployment.

⚡ 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
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Stability Index
--
Trend Strength
--
Return Distribution Analysis
Skewness --
Kurtosis --
Tail Risk --
Market Regime Detection
Analyzing...
Favorable Regime %
--
Avg Regime Duration
--
Current Regime Age
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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

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The settings will of started to download in the background.

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