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DaviddTech
Traders should know
  • Home
  • Free Indicators
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    • Documentation
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    • Bug & Feature Tracker
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traderdev ttmstrend btcusdt 30m 20.05.2025

  • Homepage
30 minutes @traderdev
● Live

TTMSTREND BTCUSDT 30M 20.05.2025

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

Performance Overview

Live Trading
Last 7 days: +0% Updated 7 hours ago
Total Return Primary
1437.91%
Net Profit Performance
Win Rate Success
35%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.38
Risk-Reward Ratio
Incubation Delta Live
-55.67%
Live vs Backtest
Total Trades Volume
180
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Apr 12, 2020
1,941
Days
180
Trades
Last Trade
Jul 14, 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: 2020-04-12 16:30:00
  • Sharpe Ratio: 0.26
  • Sortino Ratio: 0.71
  • Calmar: 0.00
  • Longest DD Days: 0.00
  • Volatility: 0.00
  • Skew: 0.00
  • Kurtosis: 0.00
  • Expected Daily: 0.00
  • Expected Monthly: 0.00
  • Expected Yearly: 0.00
  • Kelly Criterion: 0.00
  • Daily Value-at-Risk: 0.00
  • Expected Shortfall (cVaR): 0.00
  • Last Trade Date: 2025-07-14 15:00:00
  • Max Consecutive Wins: 0
  • Number Winning Trades 63
  • Max Consecutive Losses: 0
  • Number Losing Trades: 117

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
20200.00%0.00%0.00%-0.66%-9.16%-12.47%2.58%0.14%7.32%82.44%22.31%59.30%
20210.00%-0.93%6.04%-7.45%-4.86%15.47%-16.11%-34.07%13.26%-7.06%31.53%42.79%
20220.00%23.42%-9.36%-0.06%7.68%-14.43%-16.01%-17.56%9.41%0.00%-5.16%25.87%
202362.02%-6.12%-6.84%19.44%-23.57%-37.55%-22.43%-26.87%-9.19%40.18%0.00%16.54%
202428.79%42.22%-10.01%-12.34%7.34%13.33%26.77%-7.45%-5.93%52.29%27.32%-13.16%
2025-5.92%••••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

7

Number of Trades

2.58%

Cumulative Returns

28.57%

Win Rate

2025-05-20

🟠 Incubation started

🛡️

7 Days

14.65%

30 Days

17.56%

60 Days

27.46%

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
Net Profit 1437.91%
Buy & Hold Return 1543.86%
Sharpe Ratio 0.264
Sortino Ratio 0.713
Profit Factor 1.38
Maximum Drawdown 79.82%
Percent Profitable 35%
Ratio Avg Win / Avg Loss 2.562

The strategy showcases a significant net profit of 1437.91%, albeit slightly underperforming the buy & hold return. While the Sharpe Ratio stands at 0.264, which is below the good threshold, the Sortino Ratio of 0.713 indicates more favorable risk-adjusted returns when considering only downside volatility. The Profit Factor of 1.38 suggests that the strategy is profitable, generating $1.38 for every dollar lost.

Strategy Viability

Based on the data provided, while the strategy generates substantial net profits, its viability for real-world trading is challenged by its high maximum drawdown of 79.82%, which exceeds the acceptable threshold of 40%. This figure represents a significant risk that would deter many investors. The strategy appears most effective in volatile conditions but requires further improvement to enhance risk management and performance consistency.

Risk Management

The current risk management approach faces challenges, as evidenced by the high maximum drawdown. However, there is potential for improvement in the following areas:

  • Reducing leverage to decrease the maximum drawdown, enhancing the strategy’s sustainability.
  • Implementing tighter stop-loss mechanisms to further limit potential losses.
  • Adopting position sizing strategies based on volatility to better manage risk exposure.

Improvement Suggestions

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

  • Optimize leverage usage to keep drawdowns within acceptable limits.
  • Incorporate additional technical indicators to refine entry and exit signals, potentially improving the win rate.
  • Conduct thorough backtesting under various market conditions to validate the strategy's robustness.
  • Refine risk management strategies to include adaptive algorithms capable of reacting to changing market dynamics.

Final Opinion

In summary, the strategy demonstrates significant profit potential with favorable risk-adjusted returns as indicated by the Sortino Ratio. However, its high maximum drawdown presents a substantial risk, necessitating strategic modifications.

Recommendation: To bolster the strategy's viability, pursue further testing and optimization, particularly focusing on reducing leverage and enhancing risk management frameworks. Implement suggested improvements to increase robustness and ensure sustained performance under varied market scenarios.

⚡ 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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