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Traders should know
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heychris stifftrend 1h ethusdt 06.08

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TREND FOLOWING 1 hour @heychris
● Live

StiffTrend by @DaviddTech 🤖 [eee6cc0b]

🛡️ STIFFTREND 1H ETHUSDT 06.08

Trading Pair
ETH
Base Currency
by DaviddTech - August 12, 2024
0

Performance Overview

Live Trading
Last 7 days: +34.18% Updated 7 hours ago
Total Return Primary
1599.09%
Net Profit Performance
Win Rate Success
50.9%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.29
Risk-Reward Ratio
Incubation Delta Live
865.29%
Live vs Backtest
Total Trades Volume
332
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Jun 21, 2023
783
Days
332
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: 2023-06-21 02:00:00
  • Sharpe Ratio: 0.47
  • Sortino Ratio: 1.56
  • Calmar: -5.53
  • Longest DD Days: 67.00
  • Volatility: 152.01
  • Skew: 0.14
  • Kurtosis: -0.39
  • Expected Daily: 1.37
  • Expected Monthly: 33.20
  • Expected Yearly: 3,017.88
  • Kelly Criterion: 16.07
  • Daily Value-at-Risk: -13.37
  • Expected Shortfall (cVaR): -17.22
  • Last Trade Date: 2025-08-12 02:00:00
  • Max Consecutive Wins: 7
  • Number Winning Trades 169
  • Max Consecutive Losses: 6
  • Number Losing Trades: 163
  • Gain/Pain Ratio: -5.53
  • Gain/Pain (1M): 1.45
  • Payoff Ratio: 1.36
  • Common Sense Ratio: 1.45
  • Tail Ratio: 1.32
  • Outlier Win Ratio: 2.54
  • Outlier Loss Ratio: 3.47
  • Recovery Factor: 0.00
  • Ulcer Index: 0.27
  • Serenity Index: 81.75

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%12.76%-19.34%-9.74%27.22%35.16%-11.77%10.57%
202421.49%81.12%18.86%33.41%57.89%-4.70%17.20%-29.57%5.43%6.10%6.49%33.23%
2025-8.05%••••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

171

Number of Trades

186.7%

Cumulative Returns

49.12%

Win Rate

2024-08-06

🟠 Incubation started

🛡️

7 Days

112.2%

30 Days

153.86%

60 Days

120.34%

90 Days

Strategy Audit & Screenshots

Visual verification of strategy performance with TradingView screenshots

  • Performance (Backtest)
  • Performance (Forward Test)
Waiting for file
Waiting for file

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 merit attention:

Metric Strategy
Cumulative Return 1599.09%
Annualized Return (CAGR %) 334.94%
Sharpe Ratio 0.471
Profit Factor 1.29
Maximum Drawdown -60.88%
Volatility (Annualized) 152.02%

The strategy demonstrates significant cumulative returns of 1599.09%, with an impressive annualized return of 334.94%. However, the Sharpe Ratio of 0.471, while slightly below the optimistic threshold of 0.5, indicates room for improvement in risk-adjusted returns. The maximum drawdown of -60.88% is notably higher than ideal, suggesting elevated risk exposure. Nonetheless, the strategy's max contracts held at 1631 indicates high leverage; thus, there is potential to improve drawdowns by reducing leverage.

Strategy Viability

Based on the observed data, the strategy exhibits promising high returns, highlighting its potential viability for real-world trading. However, the above-threshold drawdown suggests high risk, particularly if market conditions shift unexpectedly. The market conditions optimal for this strategy are characterized by volatile environments, given the high annual volatility. It is crucial to consider if these conditions align with current and expected market forecasts.

Risk Management

The strategy would benefit from refined risk management practices. The Gain/Pain Ratio of 1.45 suggests some efficiency in handling losses compared to gains, yet the high drawdown indicates room for enhancing risk controls:

  • Consider reducing leverage to quickly diminish potential high drawdowns.
  • Implement more robust stop-loss measures and adjust position sizing relative to volatility.
  • Further diversify trade positions to mitigate unsystematic risks.

Improvement Suggestions

To enhance the strategy’s performance and robustness, the following recommendations are suggested:

  • Optimize leverage levels to improve drawdown statistics while maintaining return potential.
  • Integrate a broader set of technical indicators to better refine entry and exit points.
  • Conduct additional stress testing and scenario analysis to assess performance under varied market conditions.
  • Explore dynamic risk management techniques such as adjusting Value-at-Risk (VaR) limits to control peak losses.

Final Opinion

In summary, while the strategy demonstrates powerful returns, it experiences higher than optimal drawdowns and volatility. Its risk/reward ratio could be enhanced by adopting more conservative leverage and improved risk management strategies.

Recommendation: Proceed with further testing and optimization. Consider lowering leverage and implementing the suggested improvements to increase the strategy's robustness amidst volatile market conditions.

⚡ 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...

📹 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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