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gentlesir jptrendforce dogeusdt 1h 29.04.2025

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1 hour @gentlesir
● Live

JPTRENDFORCE DOGEUSDT 1H 29.04.2025

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

Performance Overview

Live Trading
Last 7 days: +-1.79% Updated 3 hours ago
Total Return Primary
7452.59%
Net Profit Performance
Win Rate Success
54.4%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.962
Risk-Reward Ratio
Incubation Delta Live
4192.43%
Live vs Backtest
Total Trades Volume
307
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Jun 18, 2021
1,516
Days
307
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: 2021-06-18 11:00:00
  • Sharpe Ratio: 0.52
  • Sortino Ratio: 1.42
  • Calmar: -3.18
  • Longest DD Days: 67.00
  • Volatility: 62.70
  • Skew: 0.64
  • Kurtosis: 0.99
  • Expected Daily: 0.76
  • Expected Monthly: 17.20
  • Expected Yearly: 571.65
  • Kelly Criterion: 28.09
  • Daily Value-at-Risk: -4.89
  • Expected Shortfall (cVaR): -6.56
  • Last Trade Date: 2025-08-12 08:00:00
  • Max Consecutive Wins: 10
  • Number Winning Trades 167
  • Max Consecutive Losses: 7
  • Number Losing Trades: 140
  • Gain/Pain Ratio: -3.18
  • Gain/Pain (1M): 2.06
  • Payoff Ratio: 1.72
  • Common Sense Ratio: 2.06
  • Tail Ratio: 1.78
  • Outlier Win Ratio: 2.98
  • Outlier Loss Ratio: 3.61
  • Recovery Factor: 0.00
  • Ulcer Index: 0.06
  • Serenity Index: 39.85

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%16.71%19.05%-8.80%-25.51%-15.19%-1.31%-5.06%
202237.61%3.22%17.85%-10.13%2.28%4.83%45.00%11.04%-5.11%-0.86%29.10%36.29%
202317.75%2.71%-0.21%29.28%15.01%-35.81%29.58%8.15%-12.89%6.89%4.64%5.98%
2024-9.78%22.07%9.66%2.21%14.89%-8.62%44.68%38.77%33.37%31.60%-6.46%14.98%
202514.55%••••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

28

Number of Trades

90.05%

Cumulative Returns

53.57%

Win Rate

2025-04-29

🟠 Incubation started

🛡️

7 Days

16.13%

30 Days

212.87%

60 Days

102.48%

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?
Just now
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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
CAGR (Compound Annual Growth Rate) 66.64%
Sharpe Ratio 0.521
Profit Factor 1.962
Maximum Drawdown -51.93%
Volatility (Annualized) 61.65%
Percent Profitable 54.4%

The strategy demonstrates solid performance with a CAGR of 66.64% and an acceptable Sharpe Ratio of 0.521, indicating reasonable risk-adjusted returns. The Profit Factor of 1.962 signifies a profitable strategy for every dollar lost. However, the maximum drawdown of -51.93% is a red flag, exceeding the ideal threshold and highlighting potential vulnerability to prolonged market downturns.

Strategy Viability

Based on the data provided, the strategy appears to have potential for real-world trading, especially considering the relatively high returns in a volatile environment like crypto. It withstands market movements with a decent win rate of 54.4%, demonstrating an ability to outperform holding a static position (-38.25% Buy & Hold Return). Nevertheless, it is crucial to address the substantial drawdown by exploring less aggressive leverage or diversification to enhance the strategy's viability.

Risk Management

The strategy has room for better risk management, primarily indicated by the elevated drawdown. Improvements could be realized by focusing on:

  • Lowering leverage, which could significantly reduce the downside risk without compromising potential gains.
  • Enhancing stop-loss placement and dynamic position sizing based on market volatility and conditions.
  • Considering using a trailing stop-loss to protect accumulated profits and mitigate drawdowns.

Improvement Suggestions

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

  • Optimize strategy parameters to ensure they align with current market conditions, aiming to maintain returns while reducing drawdown.
  • Experiment with additional indicators to fine-tune entry and exit points, thereby improving the payoff ratio.
  • Conduct further backtesting and simulate various market conditions to stress-test the strategy’s resilience.
  • Assess the integration of portfolio balance techniques, such as balancing with low-correlation assets to mitigate risks.

Final Opinion

In summary, the strategy demonstrates respectable returns and a decent risk-adjusted performance with its Sharpe Ratio above the acceptable threshold. However, addressing the high maximum drawdown is crucial for elevating its robustness and appeal. The strategy holds promise but requires refinement and rigorous testing to ensure its stability in diverse market conditions.

Recommendation: Proceed with caution; prioritize reducing leverage to manage drawdown risk effectively, and continue refining the strategy’s parameters and risk management techniques to fortify its long-term viability.

⚡ 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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