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traderdev MACDliquidityspectrum atomusdt 1h 27.05.2025

  • Homepage
1 hour @traderdev
● Live

MACDLIQUIDITYSPECTRUM ATOMUSDT 1H 27.05.2025

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

Performance Overview

Live Trading
Last 7 days: +-2.02% Updated 6 hours ago
Total Return Primary
95.34%
Net Profit Performance
Win Rate Success
46.5%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.208
Risk-Reward Ratio
Incubation Delta Live
1.91%
Live vs Backtest
Total Trades Volume
157
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Nov 15, 2021
1,359
Days
157
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: 2021-11-15 08:00:00
  • Sharpe Ratio: 0.16
  • Sortino Ratio: 0.28
  • Calmar: -0.62
  • Longest DD Days: 46.00
  • Volatility: 11.51
  • Skew: 0.31
  • Kurtosis: -0.81
  • Expected Daily: 0.06
  • Expected Monthly: 1.27
  • Expected Yearly: 16.29
  • Kelly Criterion: 7.48
  • Daily Value-at-Risk: -0.93
  • Expected Shortfall (cVaR): -1.14
  • Last Trade Date: 2025-08-05 08:00:00
  • Max Consecutive Wins: 4
  • Number Winning Trades 73
  • Max Consecutive Losses: 7
  • Number Losing Trades: 84
  • Gain/Pain Ratio: -0.62
  • Gain/Pain (1M): 1.19
  • Payoff Ratio: 1.39
  • Common Sense Ratio: 1.19
  • Tail Ratio: 1.38
  • Outlier Win Ratio: 2.20
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.02
  • Serenity Index: 0.52

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%0.00%-2.44%0.00%
20220.00%0.00%-2.75%-1.94%0.00%0.00%0.00%6.82%0.00%-1.96%-7.34%-23.07%
202315.55%-3.15%0.30%1.44%0.12%31.38%-19.51%21.90%1.79%2.80%3.45%0.00%
20249.14%-26.36%-0.07%22.78%-23.74%23.06%-4.61%23.97%18.35%-17.76%24.84%0.00%
2025-1.04%••••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

15

Number of Trades

1.58%

Cumulative Returns

40%

Win Rate

2025-05-27

🟠 Incubation started

🛡️

7 Days

8.68%

30 Days

84.66%

60 Days

11.52%

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 stand out that merit attention:

Metric Strategy
Cumulative Return 95.34%
Annualized Return (CAGR %) 2.38%
Sharpe Ratio 0.159
Profit Factor 1.208
Maximum Drawdown 35.8%
Volatility (Annualized) 11.51%

The strategy shows moderate performance, marked by a cumulative return of 95.34%. Although the annualized return is relatively low at 2.38%, the strategy's profit factor of 1.208 indicates slightly more gains than losses. The Sharpe ratio of 0.159 suggests that returns need to be more effectively balanced concerning risk taken, which may be reflective of volatility management strategies requiring improvement. Maximum drawdown remains under 40%, which is positive in managing downside risk.

Strategy Viability

Based on the data provided, this strategy appears to have potential for real-world trading, especially considering its ability to manage downside risk with a drawdown below 40%. The performance metrics indicate that while returns are modest, they are consistent and slightly better than break-even after accounting for losses. Ensuring that the market conditions where this strategy thrives are sustainable will be crucial, considering the current macroeconomic and crypto market conditions.

Risk Management

The strategy employs some risk management measures effectively, demonstrated by its controlled drawdown. However, there is room for improvement to enhance returns relative to risk. Key areas for improvement are:

  • Implement dynamic position sizing protocols to be more adaptive to market volatility.
  • Explore enhanced stop-loss strategies to reduce potential significant losses.
  • Conduct stress testing under various market conditions to validate stability.

Improvement Suggestions

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

  • Optimize parameters to possibly increase returns and further mitigate drawdowns.
  • Explore the use of additional technical indicators to fine-tune entry and exit strategies.
  • Conduct more extensive out-of-sample testing to assess the viability across various market conditions.
  • Reducing leverage could further decrease maximum drawdown, providing more stability.

Final Opinion

In summary, while the strategy demonstrates adequate risk management with a reasonable level of drawdown, further enhancements are needed to improve returns and risk-adjusted metrics. It shows potential, with performance metrics that suggest it's a low-risk approach, but some strategic improvements could enhance profitability and robustness across diverse market conditions.

Recommendation: Proceed with further optimization and testing of the strategy, implementing suggested improvements to enhance robustness and profitability. Adjusting the risk management framework can leverage network volatility effectively, enhancing overall performance.

⚡ 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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