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Traders should know
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traderdev jptrendforce injusdt 30m 21.01.2025

  • Homepage
1 hour @traderdev
● Live

JPTRENDFORCE INJUSDT 30M 21.01.2025

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

Performance Overview

Live Trading
Last 7 days: +-2.43% Updated 1 hour ago
Total Return Primary
110.55%
Net Profit Performance
Win Rate Success
46.85%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.14
Risk-Reward Ratio
Incubation Delta Live
7.18%
Live vs Backtest
Total Trades Volume
397
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Sep 5, 2022
1,066
Days
397
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: 2022-09-05 04:00:00
  • Sharpe Ratio: 0.27
  • Sortino Ratio: 0.47
  • Calmar: -0.63
  • Longest DD Days: 65.00
  • Volatility: 7.06
  • Skew: 0.20
  • Kurtosis: -1.04
  • Expected Daily: 0.03
  • Expected Monthly: 0.58
  • Expected Yearly: 7.14
  • Kelly Criterion: 5.58
  • Daily Value-at-Risk: -0.64
  • Expected Shortfall (cVaR): -0.69
  • Last Trade Date: 2025-08-05 04:00:00
  • Max Consecutive Wins: 7
  • Number Winning Trades 186
  • Max Consecutive Losses: 8
  • Number Losing Trades: 211
  • Gain/Pain Ratio: -0.63
  • Gain/Pain (1M): 1.14
  • Payoff Ratio: 1.29
  • Common Sense Ratio: 1.14
  • Tail Ratio: 1.15
  • Outlier Win Ratio: 2.34
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.02
  • Serenity Index: 0.99

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
20220.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%5.53%-0.80%-4.97%6.26%
20235.82%0.00%0.84%4.05%16.16%10.50%-4.76%14.00%-5.20%19.48%0.21%1.49%
20247.15%-0.71%-11.36%10.94%-22.20%1.47%16.99%11.56%1.29%-9.06%3.64%3.49%
20257.89%••••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

81

Number of Trades

5.06%

Cumulative Returns

44.44%

Win Rate

2025-01-21

🟠 Incubation started

🛡️

7 Days

0.65%

30 Days

185.32%

60 Days

7.28%

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
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Comprehensive Strategy Analysis

AI Generated

Performance Analysis

Upon reviewing the provided QuantStats report, several performance metrics provide insight into the trading strategy's current effectiveness:

Metric Strategy
Cumulative Return 110.55%
Annualized Return (CAGR %) 3.58%
Sharpe Ratio 0.269
Profit Factor 1.14
Maximum Drawdown 30.71%
Volatility 7.06%

The strategy demonstrates a cumulative return of 110.55% over the period, with a relatively modest annualized return of 3.58%. It operates with a Sharpe ratio of 0.269, which suggests room for improvement in risk-adjusted returns. The profit factor of 1.14 indicates slightly more profit per dollar of loss. Notably, the strategy maintains a maximum drawdown of 30.71%, which remains within an acceptable range but leaves some room for optimization.

Strategy Viability

Based on the data provided, the strategy exhibits mixed results regarding real-world trading viability. The strategy does manage risk factors moderately well and has achieved an overall gain. However, the spotlight is on further improving the Sharpe ratio to heighten risk efficiency. While it performs adequately, the continuation of similar performance relies on stable market conditions, particularly given its current volatility metrics. Comparative benchmarks could explore if minimal leverage impacts net gains, potentially lessening drawdowns.

Risk Management

The strategy's risk management approach is largely satisfactory, with a maximum drawdown below 40%. Improving the control over drawdowns and increasing risk-adjusted performance could involve:

  • Adjusting leverage to mitigate the risk of significant losses while preserving capital.
  • Implementing tighter stop-loss orders to cut losses sooner and reinforce capital protection.
  • Applying dynamic position sizing based on market conditions could enhance volatility management.

Improvement Suggestions

To potentially enhance robustness and improve the strategy’s performance, consider the following strategies:

  • Optimize parameters, such as trade entry and exit points, using a broader range of technical indicators.
  • Perform comprehensive out-of-sample and forward-testing to confirm strategy stability across varied market conditions.
  • Experiment with diversified asset trades to alleviate unsystematic risks.
  • Leverage risk management enhancements like dynamic adjustment of stop-loss levels and position sizes based on real-time volatility.

Final Opinion

Overall, the strategy shows promise but also indicates several avenues where improvements might significantly bolster performance. The current position suggests effectiveness in achieving returns, though optimization is needed to refine its risk-adjusted return ratios.

Recommendation: Further develop and optimize the existing strategy. Implement comprehensive testing to study and adapt its response to various market environments, focusing particularly on enhancing the Sharpe ratio and managing drawdowns by fine-tuning leverage use and risk controls.

⚡ 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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