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 ttmstrend btcusdt 1h 20.05.2025

  • Homepage
1 hour @traderdev
● Live

TTMSTREND BTCUSDT 1H 20.05.2025

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

Performance Overview

Live Trading
Last 7 days: +0% Updated 6 hours ago
Total Return Primary
1946.29%
Net Profit Performance
Win Rate Success
43.18%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
2.276
Risk-Reward Ratio
Incubation Delta Live
167.43%
Live vs Backtest
Total Trades Volume
88
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Apr 29, 2020
1,924
Days
88
Trades
Last Trade
Jul 25, 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: 2020-04-29 13:00:00
  • Sharpe Ratio: 0.33
  • Sortino Ratio: 1.64
  • 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: 2025-07-25 23:00:00
  • Max Consecutive Wins: 0
  • Number Winning Trades 38
  • Max Consecutive Losses: 0
  • Number Losing Trades: 50

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
20200.00%0.00%0.00%6.05%-1.12%-3.73%0.00%0.00%-5.89%69.25%1.17%10.61%
20213.25%0.00%3.80%-5.00%-3.00%0.00%12.47%-3.36%5.10%-3.42%6.81%15.07%
20220.00%5.97%-5.89%0.00%0.00%-3.34%-3.26%0.35%-3.00%0.00%-4.68%15.00%
202336.52%31.13%-5.72%41.79%-9.16%8.11%0.00%-9.33%-6.98%-9.12%0.00%19.99%
2024-2.12%63.65%-6.97%-1.08%8.24%-7.99%16.03%-8.66%10.28%38.49%3.27%-1.13%
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

3

Number of Trades

12.41%

Cumulative Returns

33.33%

Win Rate

2025-05-20

🟠 Incubation started

🛡️

7 Days

19.21%

30 Days

13.38%

60 Days

22.29%

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
Net Profit 1946.29%
Profit Factor 2.276
Maximum Drawdown -27.54%
Total Closed Trades 88
Percent Profitable 43.18%
Sharpe Ratio 0.329
Sortino Ratio 1.635

The strategy shows an impressive net profit of 1946.29% and a solid profit factor of 2.276, indicating that for every dollar lost, approximately $2.28 is gained. The maximum drawdown of 27.54% is within the acceptable range for crypto strategies, showcasing relatively strong downside risk management. However, the Sharpe Ratio of 0.329 suggests there might be room for improvement in risk-adjusted returns.

Strategy Viability

Based on the data provided, this strategy appears to be conditionally viable for real-world trading. While it has demonstrated significant gains, reflecting performance better than the market benchmark given its buy & hold return of 1395.9%, the low Sharpe ratio underlines that the risk-adjusted performance could be improved for enhanced reliability. Additionally, understanding the market conditions where this strategy excels is essential to anticipate future performance.

Risk Management

The strategy has effectively maintained a maximum drawdown below 40%, highlighting some strength in risk management. However, improvements can be made, especially in terms of risk-adjusted performance metrics. Consider exploring the following enhancements:

  • Implement dynamic position sizing to adjust exposure during high volatility periods.
  • Expand the stop-loss framework to minimize potential losses on adverse market moves.
  • Incorporate diversification into different asset classes to balance unsystematic risks.

Improvement Suggestions

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

  • Optimize parameter settings to boost Sharpe ratio and create more consistent returns.
  • Integrate additional quantitative indicators to fine-tune entry and exit signals.
  • Conduct extensive back-testing across various market landscapes for robustness validation.
  • Reduce leverage to further decrease maximum drawdown, simultaneously preserving the strategy’s risk management integrity.

Final Opinion

In summary, the strategy demonstrates strong profit potential with a net profit far exceeding typical benchmarks and a properly managed drawdown. Nonetheless, the risk aspect signifies areas needing refinement, particularly in terms of improving its risk-adjusted metrics.

Recommendation: Proceed by optimizing and stress-testing the strategy across diverse market environments. Implement proposed enhancements while recalibrating risk management techniques to facilitate more effective handling of market vagaries.

⚡ 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

50
Spots Left
3,173+
Traders Joined
29:36:10
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