Preloader
Skip to content
DaviddTech
DaviddTech
Traders should know
  • Start Here
  • Bots & Strategies
    • Bots
  • Other Tools
    • Events
    • One-on-One
    • Optimiser

Contact us:

Support | Feature request
Support Service
24/7 community chat
  • Home
  • Free Indicators
  • Docs & Tools
    • Documentation
    • Risk Calculator
    • Win Rate Calendar
    • Submit A Feature/Bug
    • Bug & Feature Tracker
    • Bybit Slippage Calculator
Sign in Get Help Events Upgrade Now
Get started
DaviddTech
DaviddTech
Traders should know
  • Home
  • Free Indicators
  • Docs & Tools
    • Documentation
    • Risk Calculator
    • Win Rate Calendar
    • Submit A Feature/Bug
    • Bug & Feature Tracker
    • Bybit Slippage Calculator

traderdev t3nexus+stiff xlmusdt 30m 18.03.2025

  • Homepage
30 minutes @traderdev
● Live

T3NEXUS+STIFF XLMUSDT 30M 18.03.2025

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

Performance Overview

Live Trading
Last 7 days: +18.5% Updated 5 hours ago
Total Return Primary
2696.98%
Net Profit Performance
Win Rate Success
50.56%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.443
Risk-Reward Ratio
Incubation Delta Live
2005.59%
Live vs Backtest
Total Trades Volume
447
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Apr 30, 2024
463
Days
447
Trades
Last Trade
Aug 5, 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: 2024-04-30 13:00:00
  • Sharpe Ratio: 0.62
  • Sortino Ratio: 2.88
  • Calmar: -6.39
  • Longest DD Days: 51.00
  • Volatility: 34.76
  • Skew: 0.23
  • Kurtosis: -0.13
  • Expected Daily: 0.32
  • Expected Monthly: 6.96
  • Expected Yearly: 124.19
  • Kelly Criterion: 16.28
  • Daily Value-at-Risk: -3.02
  • Expected Shortfall (cVaR): -3.89
  • Last Trade Date: 2025-08-05 01:00:00
  • Max Consecutive Wins: 11
  • Number Winning Trades 226
  • Max Consecutive Losses: 6
  • Number Losing Trades: 221
  • Gain/Pain Ratio: -6.39
  • Gain/Pain (1M): 1.47
  • Payoff Ratio: 1.43
  • Common Sense Ratio: 1.47
  • Tail Ratio: 1.29
  • Outlier Win Ratio: 2.56
  • Outlier Loss Ratio: 3.23
  • Recovery Factor: 0.00
  • Ulcer Index: 0.07
  • Serenity Index: 51.28

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

Come join our amazing community and get access to all the DaviddTech bots.

Login Register
Year/MonthJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
20240.00%0.00%0.00%10.92%17.09%50.52%57.30%35.76%12.39%-12.93%82.28%2.83%
20252.19%••••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

156

Number of Trades

142.66%

Cumulative Returns

52.56%

Win Rate

2025-03-18

🟠 Incubation started

🛡️

7 Days

62.68%

30 Days

351.02%

60 Days

110.75%

90 Days

Strategy Audit & Screenshots

Visual verification of strategy performance with TradingView screenshots

  • Performance (Backtest)
  • Performance (Forward Test)
Waiting for file
Waiting for file

TradingView Screenshots

Slide this way to reveal live trades

USE SLIDER TO REVEAL RESULTS

Slide this way to reveal backtest

Slide this way to reveal live trades

USE SLIDER TO REVEAL RESULTS

Slide this way to reveal backtest



⚪️ 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 2,696.98%
Annualized Return (CAGR %) 184.86%
Sharpe Ratio 0.621
Profit Factor 1.443
Maximum Drawdown -48.6%
Volatility (Annualized) 34.77%

The strategy demonstrates impressive cumulative returns of 2,696.98% with a respectable annualized return of 184.86%. The Sharpe Ratio of 0.621 indicates good risk-adjusted returns, especially for the crypto market where a figure above 0.5 is substantial. Despite the profit factor being slightly above 1, which shows some room for profitability improvement, the maximum drawdown of -48.6% could be a concern, surpassing the 40% threshold for comfort. However, this can potentially be addressed by using less leverage.

Strategy Viability

Based on the data provided, this strategy seems viable for real-world trading under the observed conditions, but with some caution. It delivers high returns and meets the Sharpe Ratio criterion, which aligns well with typical expectations for crypto strategies. It's important to note that the maximum drawdown exceeds the preferred limit, suggesting the strategy might encounter significant drawdowns in volatile markets. Life with a high calmar ratio indicates robustness in drawdown periods. Market conditions where volatility is well-managed contribute significantly to the strategy's success, and these conditions should be tracked to ensure their persistence and alignment with the strategy’s operations.

Risk Management

While the strategy employs some effective risk management techniques, evidenced by no margin calls and a decent gain/pain ratio (1.46), there's room for improvement, especially regarding daily fluctuations. Consider these enhancements:

  • Reduce leverage to decrease maximum drawdown risk, ensuring more stable equity curves.
  • Implement advanced position sizing strategies to dynamically adjust exposure based on market conditions.
  • Utilize trailing stop-loss orders to protect gains as trades become profitable.

Improvement Suggestions

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

  • Analyze and adjust leverage to better balance risk and return, particularly during volatile periods.
  • Conduct further optimization of trade entry and exit criteria to maximize profit potential while minimizing exposure to adverse market movements.
  • Incorporate additional technical indicators and machine learning algorithms to refine decision-making processes.
  • Implement comprehensive backtesting with historical market stress scenarios to evaluate the strategy's resilience.

Final Opinion

In summary, the strategy demonstrates strong performance with high returns and a commendable Sharpe Ratio in line with crypto market standards. The primary concern is the higher-than-desirable maximum drawdown, which can be mitigated through leverage adjustments.

Recommendation: Proceed with further optimization and testing to refine the strategy and improve its resilience to high drawdowns. By implementing the suggested improvements, you can develop a more robust and profitable trading strategy that can effectively handle market volatility.

⚡ 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...

Choose your Reaction!
  • icon
  • icon
  • icon
  • icon
  • icon
  • icon
  • icon
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.

Course 👉 https://sso.teachable.com/secure/1549840/checkout/4648217/the-optimiser - Please use the coupon 100FREE to get 100% off.

Download Optimiser 🟢 https://chromewebstore.google.com/detail/the-optimiser-tradingview/emcpjechgmpcnjphefjekmdlaljbiegp

DaviddTech
How-to copy charts

First add enter your TradingView username

To copy other members charts, is simple:

  • A new window in TradingView will of opened.
  • Simply navigate to the top right corner and click "copy" like in the image below.
  • This will copy the chart to your TradingView with all the shared settings.

Connect Your Telegram
You must be logged in to use this function.
DaviddTech
© All rights reserved DaviddTech 2024.

Copy This Strategy Show Advanced Stats
🚀

Get DaviddTech 100% for Free!
Professional Trading Bots & The Optimiser

49
Spots Left
2,954+
Traders Joined
26:29:32
Time Left
✓ Advanced Trading Bots
✓ Professional Optimiser Tool
✓ 24/7 Community Support
✓ Up to $30,K Bonus + Fee Discounts
⚡ Limited Time: Only available while spots remain!
Claim Your Free Access Now
→
🔒 Secure ⭐ Trusted by 1000s 💯 Free Access
⭐⭐⭐⭐⭐

"These bots transformed my trading. Got access in 2 minutes!"

- Alex M., Pro Trader
Login to your Account
    Forgot my Password
    Trusted Site