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Traders should know
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schmidhip precisiontrendmastery btcusdt 75m 13.05.2025

  • Homepage
75 minutes @schmidhip
● Live

PRECISIONTRENDMASTERY BTCUSDT 75M 13.05.2025

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

Performance Overview

Live Trading
Last 7 days: +0.26% Updated 20 seconds ago
Total Return Primary
1495.46%
Net Profit Performance
Win Rate Success
58.72%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
2.441
Risk-Reward Ratio
Incubation Delta Live
250.44%
Live vs Backtest
Total Trades Volume
235
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Apr 30, 2020
1,923
Days
235
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: 2020-04-30 03:45:00
  • Sharpe Ratio: 0.44
  • Sortino Ratio: 1.16
  • 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: 2025-08-01 18:45:00
  • Max Consecutive Wins: 0
  • Number Winning Trades 138
  • Max Consecutive Losses: 0
  • Number Losing Trades: 97

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%35.79%3.54%-26.55%30.16%-9.12%-0.21%34.56%18.49%17.73%
20210.00%0.53%-1.12%-4.20%0.09%0.00%6.28%-0.17%-0.05%7.11%3.61%6.27%
20221.41%0.05%1.49%-4.46%4.79%2.46%-4.76%0.44%6.44%8.63%7.21%10.40%
202322.83%-1.43%3.27%5.10%3.69%23.37%0.04%-0.50%-10.20%11.53%-5.46%-1.51%
20245.01%15.14%0.17%4.20%5.30%15.32%3.15%0.00%-9.06%3.07%8.41%3.99%
2025-8.97%••••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

12

Number of Trades

18.57%

Cumulative Returns

33.33%

Win Rate

2025-05-13

🟠 Incubation started

🛡️

7 Days

17.93%

30 Days

24.58%

60 Days

23.73%

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 1495.46%
Buy & Hold Return 1308.25%
Sharpe Ratio 0.443
Profit Factor 2.441
Maximum Drawdown -30%
Percent Profitable 58.72%

The strategy indicates a commendable net profit of 1495.46%, surpassing the buy & hold return of 1308.25%. A profit factor of 2.441 is particularly noteworthy, suggesting a ratio where every $1 lost could lead to approximately $2.44 in gains. However, the Sharpe Ratio of 0.443 suggests a need for improvement in risk-adjusted returns, yet remains close to the threshold of 0.5, marking it potentially positive in the volatile crypto domain. The maximum drawdown of -30% is well within the acceptable range, indicating good downside protection.

Strategy Viability

Based on the data provided, this strategy showcases viability for real-world trading, although with room for enhancements. It demonstrates resilience with a maximum drawdown comfortably below the 40% threshold while maintaining over 50% profitability. With market conditions frequently changing, assessing the adaptability of this strategy in various environments remains crucial. Its relatively strong upside suggests potential, especially when market conditions favor such risk-reward balances.

Risk Management

The strategy efficiently manages risk, evidenced by a maximum drawdown of -30% with no margin calls. This suggests prudent leverage use and risk exposure balancing. Nevertheless, the Sharpe Ratio suggests there is space for refining risk management to improve return stability:

  • Adopt a dynamic position sizing strategy to adapt leverage based on changing market conditions.
  • Incorporate more sophisticated stop-loss and take-profit levels to manage trade exits more effectively.
  • Diversify by trading across different correlated and non-correlated crypto assets to spread risk.

Improvement Suggestions

To further bolster the strategy’s performance and resilience, consider these recommendations:

  • Optimize the strategy parameters to enhance returns while striving to keep drawdowns minimized.
  • Integrate a variety of technical indicators to refine trade entry and exit signals.
  • Conduct further out-of-sample testing to ensure robustness across diverse market scenarios.
  • Use less leverage as a tool to effectively reduce maximum drawdown, thus increasing the strategy's safety margin.

Final Opinion

In summary, the strategy explores strong profitability with good return metrics but displays opportunities for improvement in risk-adjusted performance. Its historical performance underlines potential effectiveness with correct adjustments and optimizations.

Recommendation: Proceed with further refinement and testing. Implement the suggested enhancements to maximize robustness and develop adaptive techniques to handle market volatility, which is particularly pertinent in crypto trading environments.

⚡ 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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