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DaviddTech
Traders should know
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gentlesir jptrendforce galausdt 1h 21.01.2025

  • Homepage
@gentlesir
● Live

JPTRENDFORCE GALAUSDT 1H 21.01.2025

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

Performance Overview

Live Trading
Last 7 days: +12.9% Updated 1 hour ago
Total Return Primary
1170.56%
Net Profit Performance
Win Rate Success
63.21%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.268
Risk-Reward Ratio
Incubation Delta Live
-59.31%
Live vs Backtest
Total Trades Volume
424
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Dec 20, 2021
1,324
Days
424
Trades
Last Trade
Aug 2, 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: 2021-12-20 21:00:00
  • Sharpe Ratio: 0.68
  • Sortino Ratio: 1.69
  • Calmar: -1.32
  • Longest DD Days: 45.00
  • Volatility: 28.08
  • Skew: -0.03
  • Kurtosis: 2.37
  • Expected Daily: 0.20
  • Expected Monthly: 4.25
  • Expected Yearly: 64.85
  • Kelly Criterion: 13.24
  • Daily Value-at-Risk: -2.80
  • Expected Shortfall (cVaR): -3.85
  • Last Trade Date: 2025-08-02 22:00:00
  • Max Consecutive Wins: 10
  • Number Winning Trades 268
  • Max Consecutive Losses: 7
  • Number Losing Trades: 156
  • Gain/Pain Ratio: -1.32
  • Gain/Pain (1M): 1.26
  • Payoff Ratio: 0.74
  • Common Sense Ratio: 1.26
  • Tail Ratio: 0.91
  • Outlier Win Ratio: 4.05
  • Outlier Loss Ratio: 2.84
  • Recovery Factor: 0.00
  • Ulcer Index: 0.05
  • Serenity Index: 5.31

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%0.00%0.00%9.56%
202219.45%12.35%-2.72%6.93%7.61%3.21%12.60%8.59%-10.50%13.64%11.83%10.90%
202319.89%5.94%14.97%-0.81%6.71%5.33%9.03%-3.13%15.00%8.69%8.00%-6.27%
2024-0.70%17.43%14.21%16.11%-6.28%-5.59%-3.60%14.54%11.78%9.34%21.45%9.39%
20257.74%••••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

62

Number of Trades

0.88%

Cumulative Returns

53.23%

Win Rate

2025-01-21

🟠 Incubation started

🛡️

7 Days

2.92%

30 Days

101.2%

60 Days

1.15%

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 1170.56%
Annualized Return (CAGR %) 23.88%
Sharpe Ratio 0.675
Profit Factor 1.268
Maximum Drawdown 30.15%
Volatility (Annualized) 28.08%

The strategy demonstrates a solid cumulative return of 1170.56% with an annual CAGR of 23.88%. The Sharpe ratio of 0.675 indicates relatively good risk-adjusted returns, surpassing the 0.5 benchmark for crypto strategies. A maximum drawdown of 30.15% is within acceptable limits, suggesting effective risk management. The Profit Factor of 1.268 indicates a profitable strategy with each dollar lost accompanied by a gain of $1.268.

Strategy Viability

The strategy appears viable for real-world trading within the current market conditions, provided these conditions continue. It outperforms the market benchmark with consistent profitability and good risk-adjusted returns. The strategy’s adaptability to varying market conditions should be assessed further to ensure stable performance.

Risk Management

The strategy employs adequate risk management as evidenced by its maximum drawdown under the critical threshold of 40% and zero margin calls. However, the sizable number of contracts held at any time suggests that leverage is utilized, which could be fine-tuned to reduce drawdowns further. Enhancements could include:

  • Reducing leverage to lower drawdown risks while maintaining profitability.
  • Implementing tighter stop-loss mechanisms to safeguard against unexpected losses.
  • Utilizing volatility-based position sizing to adapt to changing market conditions.

Improvement Suggestions

To enhance the robustness and performance of the strategy, consider the following recommendations:

  • Conduct parameter optimization to strike a balance between returns and drawdown mitigation.
  • Incorporate additional technical indicators to refine entry and exit signals.
  • Perform out-of-sample tests to assess the strategy’s adaptability across different market scenarios.
  • Introduce advanced risk management techniques such as dynamic Value-at-Risk (VaR) calculations.

Final Opinion

In summary, the strategy demonstrates commendable performance with good risk-adjusted returns and a reasonable drawdown level, important for sustained trading success. However, further optimization and validation are recommended to ensure it retains its efficacy across diverse market states.

Recommendation: Continue refining the strategy through further testing and parameter optimization. Incremental improvements in the risk management framework will bolster the strategy's ability to navigate higher market volatility while preserving its attractive return profile.

⚡ 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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