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ykot90 Stiffzone MNTUSDT 15m 03.09

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TREND FOLOWING 15 minutes @ykot90
● Live

Stiff Zone by @DaviddTech 🤖 [a49f3516]

🛡️ STIFFZONE MNTUSDT 15M 03.09

Trading Pair
MNT
Base Currency
by DaviddTech - September 6, 2024
0

Performance Overview

Live Trading
Last 7 days: +0% Updated 5 hours ago
Total Return Primary
4817.58%
Net Profit Performance
Win Rate Success
54.39%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.548
Risk-Reward Ratio
Incubation Delta Live
2346.39%
Live vs Backtest
Total Trades Volume
296
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Oct 8, 2023
674
Days
296
Trades
Last Trade
Aug 4, 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: 2023-10-08 16:15:00
  • Sharpe Ratio: 0.66
  • Sortino Ratio: 2.51
  • Calmar: -1.65
  • Longest DD Days: 124.00
  • Volatility: 1.85
  • Skew: 1.32
  • Kurtosis: 6.64
  • Expected Daily: 0.02
  • Expected Monthly: 0.39
  • Expected Yearly: 4.83
  • Kelly Criterion: 20.32
  • Daily Value-at-Risk: -0.16
  • Expected Shortfall (cVaR): -0.21
  • Last Trade Date: 2025-08-04 16:15:00
  • Max Consecutive Wins: 10
  • Number Winning Trades 161
  • Max Consecutive Losses: 6
  • Number Losing Trades: 135
  • Gain/Pain Ratio: -1.65
  • Gain/Pain (1M): 1.59
  • Payoff Ratio: 1.32
  • Common Sense Ratio: 1.59
  • Tail Ratio: 1.38
  • Outlier Win Ratio: 4.07
  • Outlier Loss Ratio: 4.26
  • Recovery Factor: 0.00
  • Ulcer Index: 0.01
  • Serenity Index: 4.48

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%6.16%20.44%27.72%
202475.72%59.64%18.14%21.03%-9.44%45.01%74.07%19.12%3.92%-51.29%13.56%-2.69%
2025-4.34%••••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

135

Number of Trades

107.47%

Cumulative Returns

49.63%

Win Rate

2024-09-03

🟠 Incubation started

🛡️

7 Days

40.97%

30 Days

79.36%

60 Days

94.88%

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, several performance metrics stand out that merit attention:

Metric Value
Cumulative Net Profit 4817.58%
Annualized Return (CAGR %) 3.08%
Sharpe Ratio 0.659
Profit Factor 1.548
Maximum Drawdown 59.41%
Volatility (Annualized) 1.85%
Percent Profitable 54.39%

The strategy demonstrates positive returns with a cumulative gain of 4817.58% and an annualized return of 3.08%. The Sharpe ratio of 0.659 is above the threshold of what is considered good in the crypto market, indicating decent risk-adjusted performance. However, the maximum drawdown of 59.41% is on the higher side, which suggests a need for improvement in downside risk management.

Strategy Viability

Based on the data provided, this strategy appears to be viable for trading in real-world market conditions. It has a solid win rate of 54.39%, demonstrating consistent positive performance over time. However, the high drawdown is a significant factor to consider, especially in volatile market environments where conditions can change rapidly.

Risk Management

The strategy employs fundamental risk management techniques, as highlighted by the Sharpe and Sortino ratios (0.659 and 2.51, respectively). However, the maximum drawdown indicates that there is room for enhancing risk controls. Some suggestions include:

  • Reducing leverage to bring down the max drawdown to more acceptable levels, potentially below 40%.
  • Improving stop-loss mechanisms to contain potential losses more effectively.
  • Incorporating volatility-based position sizing to better manage portfolio risk.

Improvement Suggestions

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

  • Optimize strategy parameters to achieve a balance between risk and return, specifically aiming to lower the drawdown.
  • Introduce more diverse technical and fundamental indicators to refine trade entries and exits.
  • Conduct out-of-sample testing to better understand the strategy's performance across varied market conditions.
  • Enhance risk management with more sophisticated techniques, such as stress testing and scenario analysis, to ensure resilience during adverse market conditions.

Final Opinion

In summary, the strategy exhibits strong potential, with promising returns and a good risk-adjusted profile. However, there is a critical need to address the high drawdown to make it more appealing to investors. The proposed risk management improvements and parameter optimizations could significantly enhance its overall robustness and performance.

Recommendation: Proceed with refining and optimizing the strategy. Focus on improving risk management frameworks and conduct comprehensive testing to validate robustness in different 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
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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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