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DaviddTech
DaviddTech
Traders should know
  • Home
  • Free Indicators
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bunie33 newsmartmoney adausdt 1h 17.09

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STRUCTURE 1 hour @bunie33
● Live

New Smart Money by @DaviddTech 🤖 [d2465950]

🛡️ NEWSMARTMONEY ADAUSDT 1H 17.09

Trading Pair
ADA
Base Currency
by DaviddTech - October 5, 2024
0

Performance Overview

Live Trading
Last 7 days: +12.79% Updated 3 hours ago
Total Return Primary
3532.91%
Net Profit Performance
Win Rate Success
50.19%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.367
Risk-Reward Ratio
Incubation Delta Live
-1681.05%
Live vs Backtest
Total Trades Volume
269
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Jun 7, 2021
1,521
Days
269
Trades
Last Trade
Aug 1, 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: 2021-06-07 18:00:00
  • Sharpe Ratio: 0.57
  • Sortino Ratio: 1.55
  • Calmar: -0.33
  • Longest DD Days: 45.00
  • Volatility: 2.27
  • Skew: 1.78
  • Kurtosis: 10.85
  • Expected Daily: 0.01
  • Expected Monthly: 0.27
  • Expected Yearly: 3.35
  • Kelly Criterion: 13.20
  • Daily Value-at-Risk: -0.22
  • Expected Shortfall (cVaR): -0.28
  • Last Trade Date: 2025-08-01 01:00:00
  • Max Consecutive Wins: 9
  • Number Winning Trades 135
  • Max Consecutive Losses: 9
  • Number Losing Trades: 134
  • Gain/Pain Ratio: -0.33
  • Gain/Pain (1M): 1.36
  • Payoff Ratio: 1.35
  • Common Sense Ratio: 1.36
  • Tail Ratio: 1.14
  • Outlier Win Ratio: 4.89
  • Outlier Loss Ratio: 5.02
  • Recovery Factor: 0.00
  • Ulcer Index: 0.01
  • Serenity Index: 0.47

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%5.54%15.99%21.03%18.17%-11.16%5.64%-0.31%
20227.91%8.33%7.60%22.01%9.15%1.26%8.37%16.70%0.18%45.99%13.92%-5.91%
202330.36%10.07%29.85%3.26%-11.16%24.90%10.15%22.89%-4.13%21.03%30.23%11.64%
20240.03%9.84%-1.57%22.96%1.62%12.10%0.47%16.09%13.21%-19.76%-9.46%0.00%
20252.00%••••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

47

Number of Trades

-33.61%

Cumulative Returns

36.17%

Win Rate

2024-09-17

🟠 Incubation started

🛡️

7 Days

14.4%

30 Days

102.61%

60 Days

-20.05%

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 Value
Cumulative Net Profit 3532.91%
Annualized Return (CAGR %) 0.84%
Sharpe Ratio 0.57
Profit Factor 1.367
Maximum Drawdown 47.08%
Volatility 2.27%

The strategy presents a solid Sharpe ratio of 0.57, which is considered good, especially in the volatile crypto market. The profit factor of 1.367 is decent, suggesting that the strategy earns $1.367 for every dollar lost. However, the maximum drawdown of 47.08% exceeds the desired threshold, indicating higher risk exposure.

Strategy Viability

Given the metrics, the strategy shows potential for real-world crypto trading, albeit with some caution due to its high drawdown. Under bullish or trending market conditions, it can be viable, but modifications are needed to ensure resilience in various scenarios. Comparative analysis to similar crypto trading strategies suggests room for improvement in managing risk.

Risk Management

The strategy's risk management approach requires refinement due to the high maximum drawdown. Currently, position sizing and stop-loss mechanisms can be optimized for better risk control. Considering the strategy's decent payoff and Sharpe ratios, strategies to manage volatility should be explored further, such as:

  • Reducing leverage to diminish maximum drawdown.
  • Implementing tighter stop-loss orders to prevent large losses.
  • Diversifying position sizes to balance exposure across different market movements.

Improvement Suggestions

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

  • Optimize leverage to reduce excess drawdown while preserving returns.
  • Integrate additional technical indicators that can better capture market trends and volatility.
  • Conduct robust backtesting and forward testing across diverse market environments to test robustness.
  • Refine stop-loss strategies and consider volatility-based position adjustments to balance risk-reward profiles.

Final Opinion

The strategy showcases a promising return rate with an acceptable risk-adjusted performance quantified by the Sharpe ratio. However, managing drawdowns and optimizing risk management practices are essential. With targeted improvements, particularly in risk control and leveraging, the strategy stands to gain enhanced viability and robustness in the volatile crypto market.

Recommendation: Proceed with modifications to risk management strategies, focusing on controlling drawdowns. Comprehensive testing and optimization should be conducted to ensure resilience and adaptability across varying crypto 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
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0.00
Loss
0.00
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Edge Decay Analysis
Edge Intact
Consistency Score
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Stability Index
--
Trend Strength
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Return Distribution Analysis
Skewness --
Kurtosis --
Tail Risk --
Market Regime Detection
Analyzing...
Favorable Regime %
--
Avg Regime Duration
--
Current Regime Age
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Markov Intelligence Insights

Analyzing strategy patterns...

📹 Strategy Deep Dive

Watch the detailed analysis and access the live chart for this strategy

Strategy Analysis Video

Live TradingView Chart

Open Live ChartView on TradingView

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How-to import CSV files.

After Downloading the optimiser and installing it on your chrome browser, follow the steps in this video to upload the settings.

The settings will of started to download in the background.

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