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ttoastyy stifftrend 4H BTCusdt 27.05.2025

  • Homepage
4 hours @ttoastyy
● Live

STIFFTREND 4H BTCUSDT 27.05.2025

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

Performance Overview

Live Trading
Last 7 days: +0% Updated 6 hours ago
Total Return Primary
1020.21%
Net Profit Performance
Win Rate Success
68.67%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
2.653
Risk-Reward Ratio
Incubation Delta Live
40.97%
Live vs Backtest
Total Trades Volume
83
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Jun 15, 2020
1,878
Days
83
Trades
Last Trade
Jul 13, 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: 2020-06-15 00:00:00
  • Sharpe Ratio: 0.54
  • Sortino Ratio: 1.67
  • Calmar: -1.59
  • Longest DD Days: 12.00
  • Volatility: 33.37
  • Skew: -0.58
  • Kurtosis: 0.90
  • Expected Daily: 0.87
  • Expected Monthly: 20.05
  • Expected Yearly: 796.34
  • Kelly Criterion: 40.24
  • Daily Value-at-Risk: -2.45
  • Expected Shortfall (cVaR): -3.92
  • Last Trade Date: 2025-07-13 20:00:00
  • Max Consecutive Wins: 7
  • Number Winning Trades 57
  • Max Consecutive Losses: 3
  • Number Losing Trades: 26
  • Gain/Pain Ratio: -1.59
  • Gain/Pain (1M): 2.48
  • Payoff Ratio: 1.19
  • Common Sense Ratio: 2.48
  • Tail Ratio: 1.48
  • Outlier Win Ratio: 2.39
  • Outlier Loss Ratio: 3.42
  • Recovery Factor: 0.00
  • Ulcer Index: 0.02
  • Serenity Index: 4.68

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
20200.00%0.00%0.00%0.00%0.00%7.54%3.34%13.54%0.00%2.84%6.43%-6.03%
2021-5.17%29.80%0.00%6.32%18.37%0.00%5.48%0.00%1.22%0.00%8.48%0.00%
20227.83%8.38%-2.56%8.86%0.00%8.80%0.00%-0.16%11.65%0.00%30.16%-0.07%
20234.00%-5.75%0.00%2.03%7.66%9.96%0.00%12.91%0.00%2.83%1.97%0.56%
202410.80%12.35%4.06%-7.67%0.75%0.31%0.00%-13.67%7.21%-2.13%7.23%11.57%
20257.56%••••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

1

Number of Trades

3.8%

Cumulative Returns

100%

Win Rate

2025-05-27

🟠 Incubation started

🛡️

7 Days

3.8%

30 Days

5.74%

60 Days

5.48%

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
🤖
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, the strategy demonstrates noteworthy performance metrics worthy of analysis:

Metric Value
Cumulative Return 1020.21%
Annualized Return (CAGR %) 14.84%
Sharpe Ratio 0.536
Profit Factor 2.653
Maximum Drawdown -23.79%
Volatility (Annualized) 33.37%

The strategy is compelling with a cumulative gain of 1020.21% and a quite decent annualized return of 14.84%. It achieves a Sharpe Ratio of 0.536, indicating solid risk-adjusted returns especially given the volatility of the crypto market. The Profit Factor of 2.653 is an excellent indicator of effectiveness, meaning for each dollar risked, the strategy returns $2.65. The maximum drawdown at -23.79% is commendable and below the acceptable threshold for crypto, confirming good downside management.

Strategy Viability

Based on these metrics, the strategy appears to be quite viable for real-world trading, particularly within the volatile crypto landscape. It particularly shines with a Profit Factor consistent with successful strategies, and the performance is well aligned with industry averages under similar high-volatility conditions. With a maximum drawdown significantly below the critical 40% threshold, this strategy highlights reasonable resilience to adverse market conditions, though it would be beneficial to monitor how it adapts if market fundamentals change.

Risk Management

The strategy incorporates effective risk management principles. The drawdown figure indicates reasonable control of downside risk, which corresponds positively to the Gain/Pain ratio of 2.48. However, improvements can be made to enhance risk management:

  • Adjusting leverage levels could further decrease maximum drawdown risks.
  • Incorporating dynamic stop-losses based on market volatility is advisable.
  • Consider using diversified crypto assets to shelter against unsystematic risks.

Improvement Suggestions

To further optimize and stabilize the strategy's yields, consider the following custom enhancements:

  • Enhance parameter optimization to focus on reducing volatility without sacrificing return quality.
  • Integrate additional technical indicators to solidify predictive capabilities and refine entry/exit timing.
  • Perform comprehensive out-of-sample and forward testing to verify the strategy's resilience under varying market states.
  • Refine risk management protocols by incorporating stress-testing scenarios and advanced risk metrics like Conditional Value at Risk (CVaR).

Final Opinion

Overall, the strategy demonstrates commanding performance with excellent returns and healthy risk-adjusted metrics, standing out in the crypto domain. The strategy maintains a controlled drawdown without sacrificing on recovery potential, an encouraging sign of adept execution. Despite moderate volatility, the strategy's fundamentals suggest it is primed for further refinement and validation.

Recommendation: Continue with extended testing and optimization of the strategy. Implement the advised improvements to fortify its robustness and adapt the risk management framework to handle higher fluctuations within the crypto market more effectively.

⚡ 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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