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traderdev precisiontrendmastery solusdt 1h 27.05.2025

  • Homepage
1 hour @traderdev
● Live

PRECISIONTRENDMASTERY SOLUSDT 1H 27.05.2025

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

Performance Overview

Live Trading
Last 7 days: +6.65% Updated 6 hours ago
Total Return Primary
382.26%
Net Profit Performance
Win Rate Success
63.33%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.838
Risk-Reward Ratio
Incubation Delta Live
151.14%
Live vs Backtest
Total Trades Volume
90
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Jul 14, 2021
1,484
Days
90
Trades
Last Trade
Jul 30, 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: 2021-07-14 02:00:00
  • Sharpe Ratio: 0.46
  • Sortino Ratio: 1.54
  • Calmar: -1.24
  • Longest DD Days: 16.00
  • Volatility: 21.86
  • Skew: -0.41
  • Kurtosis: -0.59
  • Expected Daily: 0.37
  • Expected Monthly: 8.07
  • Expected Yearly: 153.67
  • Kelly Criterion: 28.72
  • Daily Value-at-Risk: -2.04
  • Expected Shortfall (cVaR): -2.55
  • Last Trade Date: 2025-07-30 20:00:00
  • Max Consecutive Wins: 7
  • Number Winning Trades 57
  • Max Consecutive Losses: 5
  • Number Losing Trades: 33
  • Gain/Pain Ratio: -1.24
  • Gain/Pain (1M): 1.83
  • Payoff Ratio: 1.06
  • Common Sense Ratio: 1.83
  • Tail Ratio: 1.15
  • Outlier Win Ratio: 0.00
  • Outlier Loss Ratio: 2.39
  • Recovery Factor: 0.00
  • Ulcer Index: 0.02
  • Serenity Index: 1.99

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%3.37%0.00%0.00%13.01%0.00%0.00%
20221.98%0.00%9.74%-7.13%0.00%0.00%0.00%-2.96%-0.13%0.81%0.00%16.04%
20230.00%2.97%5.60%6.63%4.82%-4.98%0.00%16.59%15.68%22.96%0.00%-6.33%
20242.94%8.83%0.00%0.00%0.00%-4.04%17.78%-3.55%-1.77%-6.18%0.00%0.00%
20255.22%••••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

13

Number of Trades

40.6%

Cumulative Returns

76.92%

Win Rate

2025-05-27

🟠 Incubation started

🛡️

7 Days

21.08%

30 Days

103.76%

60 Days

41.15%

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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AI Quantitative Analysis

Advanced AI-powered insights and strategy analysis

AI Quantitative Analyst

Ready to analyze
Risk Analysis
Performance Metrics
Market Insights
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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 QuantStats report for this trading strategy, we can derive several insightful performance metrics:

Metric Strategy
Cumulative Return 382.26%
Annualized Return (CAGR %) 8.32%
Sharpe Ratio 0.457
Profit Factor 1.838
Maximum Drawdown -28.35%
Volatility (Annualized) 21.86%

The strategy achieves a cumulative return of 382.26%, which is impressive. However, an annualized return (CAGR) of 8.32% suggests a more moderate growth pace. The Sharpe Ratio of 0.457, while slightly below our target of 0.5, still shows potential. The Profit Factor of 1.838 indicates good profitability relative to losses, and the maximum drawdown of -28.35% is within acceptable limits, suggesting moderate risk exposure.

Strategy Viability

Considering the data, this strategy shows promise, especially for real-world trading. The relatively low maximum drawdown within the crypto market context, combined with a respectable Profit Factor, demonstrates the strategy's ability to weather downturns and recover effectively. However, the Sharpe Ratio slightly misses the comfortable threshold, indicating that risk-adjusted returns have room for optimization.

Risk Management

The strategy displays competent risk management, evident from its controlled maximum drawdown and sound Gain/Pain Ratio of 1.83. Despite these positives, opportunities for refining risk management still exist. Given the volatility, strategies to further mitigate risk include:

  • Exploring dynamic leverage to adjust risk exposure proportional to market volatility, potentially decreasing the maximum drawdown.
  • Incorporating more precise stop-loss measures or trailing stops to cushion against adverse price movements.
  • Diversifying the asset pool to reduce concentrated risks associated with individual cryptocurrencies.

Improvement Suggestions

To enhance the strategy's robustness and potential profitability, consider the following actions:

  • Reassessing key parameters to fine-tune balance between risk and reward, targeting an increase in the Sharpe Ratio.
  • Implementing a broader array of technical indicators to maximize trading opportunities and efficiency.
  • Conducting rigorous backtesting with out-of-sample data to validate adaptive performance across varying market conditions.
  • Bolstering the risk framework with advanced methods, such as stress testing scenarios or incorporating Value-at-Risk (VaR) insights.

Final Opinion

On the whole, the strategy showcases a strong basis for profitable trading in cryptocurrencies, underpinned by solid returns and manageable drawdowns. However, improving risk-adjusted returns remains a target area for enhancement.

Recommendation: Continue with the strategy but prioritize targeted optimization and comprehensive testing to elevate performance metrics, particularly the Sharpe Ratio. Implement the suggested risk management enhancements for a more resilient trading approach that aligns with the dynamic nature of the crypto market.

⚡ 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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