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ykot90 stiffzone mntusdt 15m 16.4

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TREND FOLOWING 15 minutes @ykot90
● Live

Stiff Zone by @DaviddTech 🤖 [f442b280]

🛡️ STIFFZONE MNTUSDT 15M 16.4

Trading Pair
MNT
Base Currency
by DaviddTech - May 9, 2024
0
  • icon 1
  • icon 1

Performance Overview

Live Trading
Last 7 days: +26.56% Updated 1 hour ago
Total Return Primary
5661.78%
Net Profit Performance
Win Rate Success
35.29%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.431
Risk-Reward Ratio
Incubation Delta Live
3621.27%
Live vs Backtest
Total Trades Volume
289
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Oct 8, 2023
674
Days
289
Trades
Last Trade
Aug 5, 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: 0.67
  • Sortino Ratio: 1.88
  • Calmar: -2.28
  • Longest DD Days: 79.00
  • Volatility: 14.50
  • Skew: 3.01
  • Kurtosis: 11.66
  • Expected Daily: 0.11
  • Expected Monthly: 2.35
  • Expected Yearly: 32.07
  • Kelly Criterion: 11.35
  • Daily Value-at-Risk: -0.67
  • Expected Shortfall (cVaR): -0.90
  • Last Trade Date: 2025-08-05 06:30:00
  • Max Consecutive Wins: 5
  • Number Winning Trades 102
  • Max Consecutive Losses: 19
  • Number Losing Trades: 187
  • Gain/Pain Ratio: -2.28
  • Gain/Pain (1M): 1.47
  • Payoff Ratio: 2.67
  • Common Sense Ratio: 1.47
  • Tail Ratio: 2.99
  • Outlier Win Ratio: 3.69
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.03
  • Serenity Index: 4.46

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%64.99%33.83%27.43%
202491.05%47.20%101.31%8.18%-44.99%15.41%58.25%37.23%-30.11%-44.11%55.21%-17.79%
202539.48%••••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

204

Number of Trades

191.87%

Cumulative Returns

30.39%

Win Rate

2024-04-16

🟠 Incubation started

🛡️

7 Days

63.43%

30 Days

170.9%

60 Days

68.31%

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
Net Profit 5661.78%
Annualized Return (CAGR %) 18.32%
Sharpe Ratio 0.666
Profit Factor 1.431
Maximum Drawdown -58.46%
Volatility (Annualized) 14.5%

The strategy demonstrates significant net profit with an increase of 5661.78%. The Sharpe Ratio of 0.666 indicates good risk-adjusted returns, particularly in the volatile crypto markets. However, the maximum drawdown of -58.46% is a red flag and may require attention, although it can be addressed by using less leverage. The profit factor of 1.431 suggests that the strategy yields a profit for every $1 at risk.

Strategy Viability

Based on the data provided, the strategy appears promising for trading, especially in its ability to manage returns effectively. The consistent net profit growth and Sharpe ratio above 0.5 suggest it holds potential in real-world scenarios. However, the high drawdown must be managed better to ensure long-term viability.

Risk Management

The strategy exhibits room for improvement in risk management due to the drawdown levels. There's a clear opportunity to optimize leverage and introduce additional safeguards. Suggestions include:

  • Reduce leverage to mitigate the risk of large drawdowns.
  • Incorporate stop-loss thresholds to protect against sudden market drops.
  • Develop a volatility management plan to enhance stability.

Improvement Suggestions

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

  • Adjust leverage settings to reduce drawdown exposure.
  • Optimize the current strategy parameters to enhance the win rate and profit factor.
  • Implement additional technical indicators for improved trade entry and exit decision-making.
  • Conduct rigorous out-of-sample and forward testing to ensure robustness across various market cycles.

Final Opinion

In summary, the strategy has robust characteristics with high net returns and a commendable Sharpe Ratio. There is significant potential with modifications to risk management, particularly concerning drawdown reduction. The strategy should undergo additional testing and adjustments to optimize performance.

Recommendation: Proceed with further testing and optimization focusing on risk management. Implement suggested enhancements to bolster robustness and adapt the strategy to handle market volatility effectively.

⚡ 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
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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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