Statistical Trailing Stop
Apr 16, 2025

The Statistical Trailing Stop stands out as an essential tool for traders aiming to secure their gains in trending markets by utilizing four distinct statistical levels grounded in the log-normal distribution of volatility. Notably, this indicator not only facilitates strategic trade positioning but also offers an insightful dashboard that displays statistics of all detected signals, thus enhancing the trader's decision-making process.
How to Use the Statistical Trailing Stop Indicator?
The Statistical Trailing Stop is designed to function seamlessly right after installation, providing a plug-and-play experience for traders. By manipulating two core parameters—specifically, data and distribution length—users can tailor the indicator to their trading style and requirements. Initially, the tool evaluates volatility by grouping 10 candles, with statistical methodologies applied across the most recent 100 of these groups. By modifying the base level from which trailing is calculated, traders can control the sensitivity of the tool to trend reversals.
Understanding Base Levels
Traders have the flexibility to select from four differentiated trailing levels, each derived from the statistical distribution of market volatility. In examining the visual representation provided by the indicator, it is apparent that higher levels furnish more resistance to market fluctuations. Level 0, for instance, is the most responsive, while level 3 yields the greatest stability. The ideal level ultimately depends on the specific asset, timeframe, and prevailing market conditions.
Exploring the Dashboard Statistics
The built-in dashboard is a highlight of the Statistical Trailing Stop, as it compiles comprehensive trade statistics, thereby simplifying the evaluation of parameter performance across any market condition. By examining Daily BTC signals with default settings across various base levels, it becomes evident that level 2 is notably effective, offering a positive expectation of $2435 per trade. A closer look reveals exceptional long trade performance, featuring a win rate of 76.47% and a risk-to-reward ratio of 3.34. This corresponds to an impressive expectation of $4839 per trade, with success durations averaging 210 days, opposite to 32 days for less favorable outcomes. The disparity in performance metrics underscores a prominent uptrend bias in this market segment.
Configuring Your Settings
- Data Length: Adjust the number of bars used per data point to suit your analysis.
- Distribution Length: Determine the sample size for your data distribution.
- Base Level: Choose between four trailing levels, each offering distinct advantages.
Dashboard Configuration
- Show Statistics: Toggle the visibility of the dashboard for a streamlined user interface.
- Position: Specify the dashboard's location for optimal visibility.
- Size: Adjust the size of the dashboard to tailor your viewing experience.
FAQ
How do I access the Statistical Trailing Stop indicator?
You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.
What are the optimal settings for the Statistical Trailing Stop in volatile markets?
The optimal settings may vary, but traders often experiment with base levels to find the sweet spot between responsiveness and stability based on market conditions.
Trading is risky and many will lose money in connection with trading activities. All content on this site is not intended to, and should not be, construed as financial advice. Decisions to buy, sell, hold or trade in securities, commodities and other markets involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results.
Hypothetical or Simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, including, but not limited to, lack of liquidity. Simulated trading programs in general are designed with the benefit of hindsight, and are based on historical information. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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