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Traders should know
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dexigner MACDliquidityspectrum atomusdt 45m 27.05.2025

  • Homepage
45 minutes @dexigner
● Live

MACDLIQUIDITYSPECTRUM ATOMUSDT 45M 27.05.2025

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

Performance Overview

Live Trading
Last 7 days: +9.42% Updated 7 minutes ago
Total Return Primary
390.84%
Net Profit Performance
Win Rate Success
49.42%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.417
Risk-Reward Ratio
Incubation Delta Live
58.84%
Live vs Backtest
Total Trades Volume
257
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Oct 19, 2021
1,386
Days
257
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: 2021-10-19 17:45:00
  • Sharpe Ratio: 0.26
  • Sortino Ratio: 0.50
  • Calmar: -1.08
  • Longest DD Days: 123.00
  • Volatility: 16.43
  • Skew: 0.43
  • Kurtosis: 1.88
  • Expected Daily: 0.13
  • Expected Monthly: 2.83
  • Expected Yearly: 39.73
  • Kelly Criterion: 15.84
  • Daily Value-at-Risk: -1.27
  • Expected Shortfall (cVaR): -2.13
  • Last Trade Date: 2025-08-04 08:00:00
  • Max Consecutive Wins: 5
  • Number Winning Trades 127
  • Max Consecutive Losses: 7
  • Number Losing Trades: 130
  • Gain/Pain Ratio: -1.08
  • Gain/Pain (1M): 1.47
  • Payoff Ratio: 1.49
  • Common Sense Ratio: 1.47
  • Tail Ratio: 1.51
  • Outlier Win Ratio: 3.06
  • Outlier Loss Ratio: 3.91
  • Recovery Factor: 0.00
  • Ulcer Index: 0.03
  • Serenity Index: 2.58

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%1.69%-15.73%8.32%
20220.00%3.77%-27.47%-27.92%4.61%3.85%0.74%-14.63%-5.76%17.14%23.38%-31.59%
202323.24%-8.37%28.25%-19.81%-8.61%36.94%-22.18%26.39%9.35%15.40%2.38%4.78%
20249.74%-18.32%-3.14%35.20%-47.22%27.68%-1.17%50.42%43.04%11.47%27.61%3.76%
2025-1.84%••••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

22

Number of Trades

15.47%

Cumulative Returns

45.45%

Win Rate

2025-05-27

🟠 Incubation started

🛡️

7 Days

16.27%

30 Days

132.1%

60 Days

32.83%

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
Sharpe Ratio 0.256
Cumulative Return 390.84%
Annualized Return (CAGR %) 8.93%
Profit Factor 1.417
Maximum Drawdown 55.34%
Volatility (Annualized) 16.43%

The strategy has achieved a cumulative return of 390.84%, which is commendable. However, the Sharpe ratio of 0.256 indicates a lower level of risk-adjusted performance than optimal. The profit factor of 1.417 suggests the strategy is earning $1.417 for every $1 lost, which is promising but could be improved. Notably, the maximum drawdown of 55.34% is higher than desired, indicating potential areas for risk management improvement.

Strategy Viability

The strategy shows potential for real-world trading with significant returns, but certain aspects need addressing to enhance viability. While the low volatility of 16.43% and significant cumulative returns are encouraging, the Sharpe ratio and maximum drawdown indicate a need for improvement. It is essential to assess the strategy's performance under varied market conditions to ensure robustness.

Risk Management

The strategy's risk management could be refined to mitigate the high drawdowns. The following improvements are suggested:

  • Decreasing leverage usage to reduce maximum drawdowns.
  • Implementing dynamic stop-loss mechanisms to enhance protection against significant losses.
  • Periodically recalibrating position sizes based on market conditions to optimize risk exposure.

Improvement Suggestions

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

  • Optimize parameters to improve the Sharpe ratio and reduce drawdowns while maintaining returns.
  • Incorporate additional technical indicators that may aid in more precise trade entries and exits.
  • Conduct thorough backtesting across different market conditions to validate the strategy's resilience.
  • Explore stress testing and scenario analysis to bolster risk mechanisms.

Final Opinion

In summary, the strategy demonstrates high returns, but there is ample opportunity for enhancements, particularly in risk management. While the strategy has great potential, it requires improvements to achieve better consistency in risk-adjusted performance.

Recommendation: Proceed with modifications focusing on optimizing risk management and performance parameters. Engage in additional testing to ensure robustness across various market conditions, with particular focus on reducing the maximum drawdown.

⚡ 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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