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DaviddTech
DaviddTech
Traders should know
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gentlesir explosivetrend nearusdt 45m 25.06

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Explosive Trend by @DaviddTech 🤖 [2cbc4f96]

🛡️ EXPLOSIVETREND NEARUSDT 45M 25.06 @gentlesir

TREND FOLOWING
45 minutes

by DaviddTech - July 3, 2024
0
  • icon 1
ℹ️ All backtest include trading fees.


⚪️ Deep Backtest

Last updated: 1 hour ago

13451.95%

Net Profit

51.74%

Win Rate

317

Total Closed Trades

1.393

Profit Factor

🛡️ %

Max Drawdown

6650.05% 🔥

Incubation Delta

Trades per Day

Key Performance Metrics

  • First Traded Date: 2021-10-15 07:15:00
  • Sharpe Ratio: 0.59
  • Sortino Ratio: 2.12
  • Calmar: -6.29
  • Longest DD Days: 58.00
  • Volatility: 129.05
  • Skew: 0.49
  • Kurtosis: -0.73
  • Expected Daily: 1.83
  • Expected Monthly: 46.30
  • Expected Yearly: 9,518.03
  • Kelly Criterion: 14.17
  • Daily Value-at-Risk: -8.84
  • Expected Shortfall (cVaR): -9.74
  • Last Trade Date: 2025-05-20 08:00:00
  • Max Consecutive Wins: 11
  • Number Winning Trades 164
  • Max Consecutive Losses: 6
  • Number Losing Trades: 153
  • Gain/Pain Ratio: -6.29
  • Gain/Pain (1M): 1.38
  • Payoff Ratio: 1.29
  • Common Sense Ratio: 1.38
  • Tail Ratio: 1.94
  • Outlier Win Ratio: 2.13
  • Outlier Loss Ratio: 0.00
  • Recovery Factor: 0.00
  • Ulcer Index: 0.18
  • Serenity Index: 656.42

AI Trading Bot Quantitative Analyst

Typing...

Performance Analysis

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

Metric Strategy
Cumulative Return 13457.32%
Annualized Return (CAGR %) 293.23%
Sharpe Ratio 0.591
Profit Factor 1.394
Maximum Drawdown -46.09%
Volatility (Annualized) 129.14%

The strategy demonstrates remarkable cumulative returns of 13,457.32% and a strong annualized return of 293.23%, highlighting its potential profitability. The Sharpe Ratio of 0.591 is good considering the high volatility of the crypto market, indicating satisfactory risk-adjusted returns. The strategy maintains a profit factor above 1, meaning it’s consistently profitable. However, the maximum drawdown of -46.09% could be improved to better align with risk tolerance levels.

Strategy Viability

This strategy displays significant promise for real-world trading. It yielded extraordinary returns that surpass the buy-and-hold strategy, demonstrating its efficacy under current market conditions. Nonetheless, while the strategy excels in high volatility environments, the observed maximum drawdown suggests a need for enhanced risk controls. Traders must monitor market conditions closely to ensure ongoing alignment with the strategy's optimal performance conditions.

Risk Management

The risk management strategy could benefit from further refinement to address higher risk factors presented by the strategy, particularly in terms of drawdown management. Here are some suggestions:

  • Reduce leverage to soften the impact of potential losses and lower maximum drawdown.
  • Implement advanced stop-loss orders and trailing stops to secure profits and minimize losses.
  • Consider diversification across various cryptocurrencies to reduce unsystematic risks.

Improvement Suggestions

To enhance the strategy's performance and resilience, the following improvements are recommended:

  • Fine-tune leverage usage to balance between maximizing returns and controlling drawdown.
  • Integrate broader sets of technical indicators and predictive analytics to refine trading signals.
  • Utilize machine learning techniques for adaptive learning and strategy optimization in changing markets.
  • Conduct comprehensive stress testing across diverse market conditions for validation.

Final Opinion

In summary, this trading strategy showcases an impressive performance and solid risk-adjusted metrics. While the exposure to volatility is high, the potential returns offer a compelling risk-reward profile. Improvements in risk management, particularly concerning leverage use and drawdown controls, are recommended to enhance the strategy's robustness.

Recommendation: I suggest moving forward with the strategy, focusing on strategic optimizations and rigorous testing. By incorporating enhanced risk management practices and continual performance reviews, the strategy can be fine-tuned to maintain its appeal and effectiveness in dynamic market conditions.

AI Quant, can you analyze this strategy?

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.

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Year/MonthJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
20210.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%57.11%-4.79%9.20%
202217.97%15.46%47.00%6.90%-12.35%16.72%63.69%31.22%5.70%-13.61%23.11%-2.84%
202346.98%10.91%28.47%1.56%-12.85%0.70%6.63%11.05%-13.81%25.27%20.98%34.46%
202446.88%21.97%5.13%-17.38%17.86%4.89%5.44%-10.34%-4.51%-25.04%Login to see resultsLogin to see results
2025Login to see resultsLogin to see resultsLogin to see resultsLogin to see resultsLogin to see results0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Live Trades Stats

NEAR

Base Currency

90

Number of Trades

91.54%

Cumulative Returns

44.44%

Win Rate

2024-06-25

🟠 Incubation started

🛡️

7 Days

19.17%

30 Days

45.29%

60 Days

28.27%

90 Days

List of Trades

Key : Pink Background = Live Trades | Black Background = Backtest Trades

  • Performance (Backtest)
  • Performance (Forward Test)
All USDAll %Long USDLong %Short USDShort %
Open P&l487102.047.06
Net Profit6801898.846801.94711920.774711.922089978.072089.98
Gross Profit18910316.1118910.3212755949.9612755.956154366.156154.37
Gross Loss12108417.2712108.428044029.198044.034064388.084064.39
Commission Paid422537.55247261.49175276.06
Buy & Hold Return-25027.95-25.03
Max Equity Run-up8046984.6598.77
Max Drawdown2121796.940.27
Max Contracts Held3094095.03094095.02811651.0
Total Closed Trades228.0131.097.0
Total Open Trades1.01.00.0
Number Winning Trades124.061.063.0
Number Losing Trades104.070.034.0
Percent Profitable54.3946.5664.95
Avg P&l29832.891.6835968.862.1121546.171.11
Avg Winning Trade152502.557.03209113.939.8597688.354.31
Avg Losing Trade116427.094.7114914.74.64119540.834.82
Ratio Avg Win / Avg Loss1.311.820.817
Largest Winning Trade1127768.481127768.48524993.89
Largest Winning Trade Percent16.0316.035.9
Largest Losing Trade705477.33705477.33565021.6
Largest Losing Trade Percent7.557.556.01
Avg # Bars In Trades56.069.039.0
Avg # Bars In Winning Trades48.061.035.0
Avg # Bars In Losing Trades66.076.046.0
Sharpe Ratio0.67
Sortino Ratio2.791
Profit Factor1.5621.5861.514
Margin Calls0.00.00.0
All USDAll %Long USDLong %Short USDShort %
Open P&l-550514.74-4.06
Net Profit13451953.1313451.957270952.847270.956181000.296181.0
Gross Profit47646472.2647646.4730936250.3330936.2516710221.9416710.22
Gross Loss34194519.1334194.5223665297.4823665.310529221.6510529.22
Commission Paid1092659.45637966.37454693.08
Buy & Hold Return-61361.09-61.36
Max Equity Run-up16964858.5199.41
Max Drawdown3569026.3646.09
Max Contracts Held7629421.07629421.07235995.0
Total Closed Trades317.0180.0137.0
Total Open Trades1.00.01.0
Number Winning Trades164.077.087.0
Number Losing Trades153.0103.050.0
Percent Profitable51.7442.7863.5
Avg P&l42435.181.3740394.181.5545116.791.12
Avg Winning Trade290527.277.04401769.489.92192071.524.48
Avg Losing Trade223493.594.71229760.174.71210584.434.73
Ratio Avg Win / Avg Loss1.31.7490.912
Largest Winning Trade2131194.922131194.92906591.48
Largest Winning Trade Percent16.0316.035.9
Largest Losing Trade1400332.141400332.14912382.22
Largest Losing Trade Percent7.557.556.01
Avg # Bars In Trades54.069.034.0
Avg # Bars In Winning Trades46.063.031.0
Avg # Bars In Losing Trades63.074.040.0
Sharpe Ratio0.587
Sortino Ratio2.119
Profit Factor1.3931.3071.587
Margin Calls0.00.00.0

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© All rights reserved DaviddTech 2024.
Disclaimer: The performance outcomes presented on davidd.tech are theoretical and subject to many limitations. It should not be assumed that any accounts will or can replicate the profits or losses similar to those depicted. Theoretical performance is often created looking back, which does not account for all the variables that can impact trading outcomes. Various market dynamics or the execution of specific trading strategies may introduce discrepancies that are not reflected in these theoretical results, potentially influencing actual trading negatively. Historical success does not guarantee future returns. Market conditions evolve, suggesting that the effectiveness of these strategies may diminish over time, necessitating new approaches. Additionally, performance can vary significantly among different brokers, and there is no expectation for backtested results to align precisely with actual market performance.
Charting is displayed using TradingView's technology, a platform, where you can track the latest events in the Economic calendar, watch live prices, and more

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