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Traders should know
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traderdev tdzV5 solusdt 45m 25.03.2025

  • Homepage
45 minutes @traderdev
● Live

TDZV5 SOLUSDT 45M 25.03.2025

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

Performance Overview

Live Trading
Last 7 days: +14.58% Updated 4 hours ago
Total Return Primary
1765.44%
Net Profit Performance
Win Rate Success
54.12%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.371
Risk-Reward Ratio
Incubation Delta Live
5.7%
Live vs Backtest
Total Trades Volume
340
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Jul 8, 2021
1,490
Days
340
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: 2021-07-08 13:15:00
  • Sharpe Ratio: 0.39
  • Sortino Ratio: 1.13
  • Calmar: -1.41
  • Longest DD Days: 93.00
  • Volatility: 36.38
  • Skew: 0.18
  • Kurtosis: 0.20
  • Expected Daily: 0.33
  • Expected Monthly: 7.09
  • Expected Yearly: 127.57
  • Kelly Criterion: 15.34
  • Daily Value-at-Risk: -3.83
  • Expected Shortfall (cVaR): -4.48
  • Last Trade Date: 2025-08-04 08:00:00
  • Max Consecutive Wins: 7
  • Number Winning Trades 184
  • Max Consecutive Losses: 6
  • Number Losing Trades: 156
  • Gain/Pain Ratio: -1.41
  • Gain/Pain (1M): 1.39
  • Payoff Ratio: 1.18
  • Common Sense Ratio: 1.39
  • Tail Ratio: 1.14
  • Outlier Win Ratio: 2.81
  • Outlier Loss Ratio: 3.17
  • Recovery Factor: 0.00
  • Ulcer Index: 0.05
  • Serenity Index: 6.83

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%-8.67%0.00%0.00%3.44%2.90%-1.92%
20229.92%-2.97%47.43%-13.02%1.27%0.00%3.54%-4.78%-38.63%8.74%-3.55%6.74%
20236.77%16.44%6.09%13.60%-8.18%18.55%23.04%-2.02%11.55%44.40%2.31%4.97%
20243.13%19.04%0.00%6.45%18.55%7.26%7.70%41.09%4.77%-1.90%44.03%4.16%
202538.49%••••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

49

Number of Trades

8.71%

Cumulative Returns

44.9%

Win Rate

2025-03-25

🟠 Incubation started

🛡️

7 Days

9.15%

30 Days

181.55%

60 Days

31.16%

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

Metric Strategy
Cumulative Return 1765.44%
Annualized Return (CAGR %) 28.16%
Sharpe Ratio 0.393
Profit Factor 1.371
Maximum Drawdown -54.48%
Volatility (Annualized) 36.38%
Maximum Contracts Held 2209

The strategy achieves a significant cumulative return of 1765.44%, revealing strong overall performance. However, with a Sharpe Ratio of 0.393, the risk-adjusted returns are below the desired threshold for the crypto market. The maximum drawdown of -54.48% indicates a higher level of risk exposure than ideal, suggesting potential room for improvement in downside risk management. Despite these challenges, the profit factor of 1.371 reflects decent profitability across trades.

Strategy Viability

Based on the data, this strategy presents notable strengths but also areas needing attention for real-world trading effectiveness. It exceeds a buy & hold return of 342.86%, showcasing its potential in favorable market conditions. The strategy's viability could be enhanced by addressing its performance consistency, as indicated by the lower Sharpe Ratio. The market conditions where this strategy excels should be carefully identified and assessed for their likely continuation.

Risk Management

The strategy's risk management approach shows signs of effectiveness, with no margin calls reported, indicating disciplined leverage use. However, the maximum drawdown suggests leverage could be optimally reduced to manage risk better. Immediate areas to consider include:

  • Reducing leverage to decrease maximum drawdown and stabilize returns.
  • Implementing tighter stop-loss strategies to limit potential losses.
  • Considering diversification of traded assets to minimize unsystematic risk.

Improvement Suggestions

To enhance the strategy's performance and robustness, I recommend the following:

  • Optimize leverage to bring drawdowns under 40%, thereby improving stability.
  • Test additional technical indicators to refine entry and exit signals.
  • Conduct rigorous out-of-sample testing to validate performance across different market regimes.
  • Explore advanced risk management techniques like Value-at-Risk (VaR) for better risk assessment.

Final Opinion

In conclusion, the strategy demonstrates substantial gains but requires refinement in risk-adjusted performance and drawdown management. The drawdown significantly impacts its suitability for consistent real-world application, despite its profitability.

Recommendation: I recommend proceeding with modifications to the strategy, focusing particularly on risk management enhancements. Further backtesting and optimization can bolster its robustness, making it more resilient in varied market conditions.

⚡ 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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