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fx156 trendhooV5 runeusdt 1h 30.07

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TREND FOLOWING 1 hour @fx156
● Live

🚀 Trendhoo [v5] by @DaviddTech 🤖 [123d51da]

🛡️ TRENDHOOV5 RUNEUSDT 1H 30.07

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

Performance Overview

Live Trading
Last 7 days: +4.26% Updated 5 hours ago
Total Return Primary
3332.86%
Net Profit Performance
Win Rate Success
41.88%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.143
Risk-Reward Ratio
Incubation Delta Live
-4537.68%
Live vs Backtest
Total Trades Volume
308
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Mar 26, 2022
1,229
Days
308
Trades
Last Trade
Aug 4, 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: 2022-03-26 08:30:00
  • Sharpe Ratio: 0.52
  • Sortino Ratio: 1.29
  • Calmar: -0.15
  • Longest DD Days: 97.00
  • Volatility: 7.26
  • Skew: 1.24
  • Kurtosis: 3.42
  • Expected Daily: 0.02
  • Expected Monthly: 0.44
  • Expected Yearly: 5.42
  • Kelly Criterion: 5.43
  • Daily Value-at-Risk: -0.64
  • Expected Shortfall (cVaR): -0.82
  • Last Trade Date: 2025-08-04 21:30:00
  • Max Consecutive Wins: 5
  • Number Winning Trades 129
  • Max Consecutive Losses: 9
  • Number Losing Trades: 179
  • Gain/Pain Ratio: -0.15
  • Gain/Pain (1M): 1.15
  • Payoff Ratio: 1.58
  • Common Sense Ratio: 1.15
  • Tail Ratio: 1.55
  • Outlier Win Ratio: 3.42
  • Outlier Loss Ratio: 4.85
  • Recovery Factor: 0.00
  • Ulcer Index: 0.05
  • Serenity Index: 0.14

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%23.94%14.46%22.78%23.53%36.89%17.05%8.92%-13.64%22.71%10.53%
202312.99%20.93%2.86%10.14%19.60%-4.48%5.29%17.26%4.17%17.90%66.88%7.09%
202416.57%7.44%25.66%27.98%39.06%19.36%2.58%16.18%-5.68%-26.32%-31.64%0.55%
202517.05%••••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

99

Number of Trades

-68.8%

Cumulative Returns

28.28%

Win Rate

2024-07-30

🟠 Incubation started

🛡️

7 Days

13.83%

30 Days

187.85%

60 Days

24.03%

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
📊

Comprehensive Strategy Analysis

AI Generated

Performance Analysis

Upon reviewing the provided QuantStats report, several performance metrics stand out that merit attention:

Metric Strategy
Net Profit 3332.86%
Sharpe Ratio 0.522
Profit Factor 1.143
Maximum Drawdown 73.66%
Volatility (Annualized) 7.26%
CAGR 1.97%
Percent Profitable 41.88%

The strategy achieves a reasonable net profit of 3332.86% with a Sharpe Ratio of 0.522, indicating decent risk-adjusted returns suitable for the crypto space. However, the maximum drawdown of 73.66% is a concern, suggesting significant downside risk. The profit factor of 1.143 is modest, indicating that gains are slightly higher than the losses, but not substantially so.

Strategy Viability

Based on the data, this strategy shows potential but comes with crucial challenges in its current form. While the Sharpe Ratio exceeds the 0.5 threshold, highlighting acceptable risk-adjusted returns, the high maximum drawdown is concerning. Under specific market conditions with lower volatility, the strategy might perform better, making it critical to identify such conditions for improved performance.

Risk Management

The risk management aspects of this strategy need enhancement, especially given the high drawdown. Effective measures could include reducing leverage to prevent significant drawdowns and implementing tight stop-losses. Additionally, dynamic position sizing could help manage risk exposure as market conditions fluctuate.

  • Consider using less leverage to decrease max drawdown.
  • Enhance stop-loss strategies to control downside risks better.
  • Incorporate volatility management tools to adapt position sizes.

Improvement Suggestions

Here are some recommendations to enhance the strategy’s performance:

  • Optimize existing parameters to align with varying market conditions while keeping drawdowns under control.
  • Use additional or alternative indicators that can enhance entry and exit decisions.
  • Perform rigorous out-of-sample testing to ensure strategy reliability across diverse market setups.
  • Augment the current risk framework with advanced methods like VaR or stress testing.

Final Opinion

In conclusion, the strategy offers promising returns with an acceptable Sharpe Ratio but faces challenges with high drawdowns. There's substantial room for optimizing risk management to balance returns effectively and minimize potential losses. Continued refinement and testing could unlock more robust performance.

Recommendation: Modify and test the strategy further, focusing on reducing drawdowns and enhancing risk management. By implementing the suggested improvements, the strategy could become more robust and viable in the dynamic crypto markets.

⚡ 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

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