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Traders should know
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traderdev t3nexus+stiff galausdt 2h 27.05.2025

  • Homepage
2 hours @traderdev
● Live

T3NEXUS+STIFF GALAUSDT 2H 27.05.2025

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

Performance Overview

Live Trading
Last 7 days: +0% Updated 6 hours ago
Total Return Primary
75.26%
Net Profit Performance
Win Rate Success
41.67%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
2.016
Risk-Reward Ratio
Incubation Delta Live
2.88%
Live vs Backtest
Total Trades Volume
48
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Sep 4, 2022
1,066
Days
48
Trades
Last Trade
Jul 10, 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: 2022-09-04 10:00:00
  • Sharpe Ratio: 0.42
  • Sortino Ratio: 1.75
  • Calmar: -2.92
  • Longest DD Days: 9.00
  • Volatility: 9.15
  • Skew: 0.90
  • Kurtosis: 0.50
  • Expected Daily: 0.16
  • Expected Monthly: 3.36
  • Expected Yearly: 48.73
  • Kelly Criterion: 21.00
  • Daily Value-at-Risk: -0.45
  • Expected Shortfall (cVaR): -0.68
  • Last Trade Date: 2025-07-10 20:00:00
  • Max Consecutive Wins: 2
  • Number Winning Trades 20
  • Max Consecutive Losses: 3
  • Number Losing Trades: 28
  • Gain/Pain Ratio: -2.92
  • Gain/Pain (1M): 2.02
  • Payoff Ratio: 2.82
  • Common Sense Ratio: 2.02
  • Tail Ratio: 2.60
  • Outlier Win Ratio: 2.11
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.00
  • Serenity Index: 2.29

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%0.00%0.00%0.00%0.00%0.00%0.00%2.74%10.86%0.00%6.48%
20231.81%0.00%0.00%1.19%-1.31%13.73%-3.48%7.93%6.81%4.49%0.00%-0.66%
20240.00%7.49%0.00%0.00%0.00%0.00%1.33%0.00%-1.26%0.00%0.00%0.00%
20250.00%••••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

4

Number of Trades

1.72%

Cumulative Returns

50%

Win Rate

2025-05-27

🟠 Incubation started

🛡️

7 Days

2.13%

30 Days

37.8%

60 Days

1.72%

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
Cumulative Return 75.26%
Annualized Return (CAGR %) 2.58%
Sharpe Ratio 0.424
Profit Factor 2.016
Maximum Drawdown 9.86%
Volatility 9.15%
Percent Profitable 41.67%

The strategy delivers a positive cumulative return of 75.26% with an annualized return of 2.58%. The Sharpe Ratio of 0.424, while slightly below the optimal 0.5 threshold, indicates reasonable risk-adjusted returns. A profit factor of 2.016 suggests successful trading positions, as the strategy generates more than twice the profit per unit of risk, outweighing any losses. The maximum drawdown of 9.86% is comfortably below 40%, showcasing effective downside risk management.

Strategy Viability

Based on the data provided, this strategy shows promise for real-world trading under observed conditions. It performs better than benchmark buy-and-hold strategies, offering a more favorable risk-return profile. Its effectiveness in managing drawdowns makes it resilient in turbulent market periods. However, additional testing under varying market conditions will be crucial to evaluate its long-term viability.

Risk Management

The strategy’s risk management approach is commendable, reflected in its relatively low drawdown and absence of margin calls. However, the Sharpe Ratio and moderate win rate suggest there's room for improvement in risk management. Consider these enhancements:

  • Apply less leverage to further reduce potential drawdowns.
  • Enhance stop-loss strategies to protect against unexpected market downturns.
  • Utilize dynamic position sizing to reflect changing market volatilities.

Improvement Suggestions

There are several avenues to explore for enhancing the strategy's performance:

  • Refine strategy parameters to target a higher Sharpe Ratio and boost risk-adjusted returns.
  • Integrate more sophisticated technical indicators to optimize entry and exit points.
  • Conduct rigorous out-of-sample testing to ensure robustness across diverse market environments.
  • Explore advanced risk management measures such as tail risk hedging or real-time volatility indexing.

Final Opinion

In summary, the strategy demonstrates solid performance, balancing return and risk with a substantial cumulative return and low drawdown. Despite slight improvements needed in risk-adjusted metrics, its strength lies in maintaining favorable returns with limited exposure to drawdown.

Recommendation: Proceed with further testing and refinement of the strategy. Aim to fine-tune risk management practices and enhance robustness in various market conditions. By implementing the suggested improvements, the strategy can be optimized for more consistent profitability.

⚡ 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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