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gentlesir jptrendforce nearusdt 1h 13.05.2025

  • Homepage
1 hour @gentlesir
● Live

JPTRENDFORCE NEARUSDT 1H 13.05.2025

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

Performance Overview

Live Trading
Last 7 days: +13.98% Updated 2 minutes ago
Total Return Primary
4065.47%
Net Profit Performance
Win Rate Success
50.57%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.358
Risk-Reward Ratio
Incubation Delta Live
-24.73%
Live vs Backtest
Total Trades Volume
265
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Oct 21, 2021
1,385
Days
265
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: 2021-10-21 00:00:00
  • Sharpe Ratio: 0.52
  • Sortino Ratio: 1.50
  • Calmar: -1.85
  • Longest DD Days: 25.00
  • Volatility: 68.20
  • Skew: 0.54
  • Kurtosis: 0.27
  • Expected Daily: 0.71
  • Expected Monthly: 15.90
  • Expected Yearly: 487.55
  • Kelly Criterion: 14.51
  • Daily Value-at-Risk: -5.85
  • Expected Shortfall (cVaR): -7.05
  • Last Trade Date: 2025-08-04 08:00:00
  • Max Consecutive Wins: 10
  • Number Winning Trades 134
  • Max Consecutive Losses: 6
  • Number Losing Trades: 131
  • Gain/Pain Ratio: -1.85
  • Gain/Pain (1M): 1.40
  • Payoff Ratio: 1.36
  • Common Sense Ratio: 1.40
  • Tail Ratio: 1.54
  • Outlier Win Ratio: 2.53
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.08
  • Serenity Index: 11.00

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
20210.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%22.59%-7.24%4.22%
20224.21%-3.58%36.21%-3.15%0.00%3.01%18.96%17.37%-11.77%8.50%1.98%27.87%
2023-10.81%-16.26%28.25%13.07%6.87%28.66%-19.30%15.12%1.22%34.76%32.78%29.31%
2024-6.05%10.83%0.00%-3.43%7.23%39.83%36.66%-4.56%37.65%-21.12%48.44%-3.18%
202520.62%••••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

24

Number of Trades

8.79%

Cumulative Returns

41.67%

Win Rate

2025-05-13

🟠 Incubation started

🛡️

7 Days

27.88%

30 Days

220.63%

60 Days

14.15%

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
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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?
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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 4065.47%
Annualized Return (CAGR %) 53.79%
Sharpe Ratio 0.516
Profit Factor 1.358
Maximum Drawdown 40.63%
Volatility (Annualized) 68.2%

The strategy presents an impressive cumulative return of 4065.47% and a satisfactory annualized return of 53.79%. The Sharpe Ratio is 0.516, which is on the threshold of being considered good, indicating stable risk-adjusted returns. The Profit Factor of 1.358 suggests that the strategy gains $1.36 for every $1 lost, which is promising. However, the Maximum Drawdown of 40.63% slightly exceeds the preferable threshold, hinting at potential risk that could be optimized.

Strategy Viability

Based on the data provided, this strategy appears viable for real-world trading under certain conditions. It outperforms the benchmark, with the Buy & Hold return being -69.25%. While the strategy manages to sustain returns with a high cumulative gain, the Maximum Drawdown poses a slight concern, albeit manageable with adjustments. The Sharpe Ratio indicates acceptable performance alignment with industry performance under expected market conditions.

Risk Management

The strategy's risk management exhibits both strengths and potential improvement areas:

  • The Gain/Pain Ratio is 1.4, which is reasonable but could be improved for enhanced stability.
  • The tail ratio of 1.54 and outlier win ratio suggest relatively favorable performance during volatile market conditions.
  • Reducing leverage can significantly mitigate the maximum drawdown, aligning it closer to the desired threshold of 40%.

Improvement Suggestions

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

  • Refine position sizing and leverage to reduce maximum drawdown and sustain favorable returns.
  • Incorporate additional stop-loss mechanisms and better monitoring of exposure limits.
  • Conduct out-of-sample testing to verify strategy performance consistency across varied conditions.
  • Explore employing additional technical indicators to refine trade entry and exit points.

Final Opinion

In summary, the strategy demonstrates robust performance with commendable returns and acceptable risk-adjusted metrics. Although it is slightly above the desired drawdown threshold, it offers potential with strategic adjustments. The strategy is promising with ample room for optimization to enhance its effectiveness in diverse market conditions.

Recommendation: Proceed with further testing and refinement of the strategy. Focus on optimizing leverage and enhancing risk management techniques to improve its overall robustness and capability in fluctuating 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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