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双箱体制趋势追踪系统Double-Box-Trend-Following-System.md

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Name

双箱体制趋势追踪系统Double-Box-Trend-Following-System

Author

ChaoZhang

Strategy Description

IMG

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概述

趋势追踪系统是一个基于双箱体制的趋势跟踪策略。它使用长期周期箱体判断整体趋势方向,并在短期箱体产生信号时,选择与长期趋势方向一致的交易信号入场。该策略追踪趋势运行,在利润最大化的同时控制风险。

策略原理

该策略使用两个箱体判断趋势。长期箱体使用较长周期判断主要趋势方向,短期箱体使用较短周期判断具体交易信号。

策略首先计算长期箱体的最高价和最低价,判断主要趋势方向。趋势方向分为三种:

  • 最高价上穿上一根K线的最高价,定义为上升趋势,赋值1
  • 最低价下穿上一根K线的最低价,定义为下降趋势,赋值-1
  • 否则维持原有趋势方向不变

在判断出主要趋势方向后,策略开始根据短期箱体入场。具体来说:

  • 当主要趋势为上升,且短期箱体最低价等于上一根K线的最低价,并低于当前短期箱体最低价时,做多
  • 当主要趋势为下降,且短期箱体最高价等于上一根K线的最高价,并高于当前短期箱体最高价时,做空

此外,策略还设置了止损和止盈:

  • 多单止损为长期箱体最低价,空单止损为长期箱体最高价
  • 多单止盈为短期箱体最高价,空单止盈为短期箱体最低价

当主要趋势发生转折时,平仓所有头寸。

优势分析

该策略具有以下优势:

  1. 使用双箱体判断系统,能有效识别趋势方向,降低错误交易概率
  2. 只有短期反转信号与长期趋势方向一致时才入场,避免被短期市场噪音误导
  3. 采用长短周期配合,既确保了捕捉主要趋势的能力,又具备适当调整仓位的灵活性
  4. 设置止损止盈点较为合理,能够把握趋势运行的同时控制风险
  5. 在主要趋势转折时快速平仓,及时控制亏损

风险分析

该策略也存在以下风险:

  1. 长短周期设置不当,容易造成交易频繁或错过机会
  2. 突发事件造成短期趋势反转不一定代表长期趋势转变,此时仍有亏损风险
  3. 止损点过于接近,可能会被震出市场
  4. 止盈点过于宽松,可能无法最大化获利
  5. 长期趋势判断产生错误,则后续交易亏损 expands
  6. 应对这些风险的方法包括:调整长短周期参数,优化止损止盈位置,增加过滤条件等。

优化方向

该策略可以从以下几个方面进行优化:

  1. 增加过滤条件,避免被短期假突破误导信号
  2. 优化长短周期参数,使其更符合不同品种特性
  3. 动态调整止损止盈位置,让止损更精确,止盈更充分
  4. 增加仓位管理策略,让仓位大小更合理
  5. 结合volume等指标判断趋势转折的可靠性
  6. 利用机器学习方法自动优化参数及过滤条件

总结

趋势追踪系统整体是一个非常实用的趋势跟踪策略。它同时兼具趋势判断和短期调整的能力,在追踪趋势的同时还能控制风险。通过不断优化,该策略可以成为一个强大的自动化趋势交易系统。它蕴含了趋势交易的核心哲学,值得深入研究。

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Overview

The Trend Following System is a trend tracking strategy based on a double box system. It uses a long-term box to determine the overall trend direction and takes signals that align with the major trend when the short-term box triggers. This strategy follows trends while managing risks.

Strategy Logic

The strategy uses two boxes to determine the trend. The long-term box uses a longer period to judge the major trend direction, and the short-term box uses a shorter period to generate trading signals.

First, the strategy calculates the highest and lowest prices of the long-term box to determine the major trend direction. The trend direction can be:

  • If the highest price crosses above the highest price of the previous bar, it is defined as an uptrend, assigned a value of 1
  • If the lowest price crosses below the lowest price of the previous bar, it is defined as a downtrend, assigned a value of -1
  • Otherwise, maintain the original trend direction

After determining the major trend, the strategy starts taking positions based on the short-term box signals. Specifically:

  • When the major trend is up and the short-term box's lowest price equals the previous bar's lowest price and is lower than the current short-term box's lowest price, go long.
  • When the major trend is down and the short-term box's highest price equals the previous bar's highest price and is higher than the current short-term box's highest price, go short.

In addition, stop loss and take profit are configured:

  • Long stop loss is the lowest price of the long-term box, short stop loss is the highest price of the long-term box
  • Long take profit is the highest price of the short-term box, short take profit is the lowest price of the short-term box

When the major trend reverses, close all positions.

Advantage Analysis

The advantages of this strategy include:

  1. The double box system effectively identifies trend directions and reduces incorrect trades
  2. Only taking reversal signals that align with the major trend avoids being misled by short-term market noise
  3. The combination of long and short periods ensures capturing major trends while maintaining position adjustment flexibility
  4. Reasonable stop loss and take profit points control risk while following trends
  5. Quickly flattening all positions when the major trend reverses minimizes losses

Risk Analysis

The risks of this strategy include:

  1. Improper long and short period settings may cause overtrading or missing opportunities
  2. Short-term reversals may not represent long-term trend changes, still posing loss risks
  3. Stop loss too close may get stopped out prematurely
  4. Take profit too loose may not maximize profits
  5. Wrong judgment of the major trend leads to losses
  6. Solutions include adjusting periods, optimizing stops/targets, adding filters etc.

Optimization Directions

The strategy can be improved by:

  1. Adding filters to avoid false breakouts
  2. Optimizing long and short periods for different products
  3. Dynamically adjusting stop loss and take profit levels
  4. Incorporating position sizing rules
  5. Using volume etc. to judge reliability of trend changes
  6. Utilizing machine learning to auto-optimize parameters and filters

Summary

The Trend Following System is a practical trend trading strategy combining trend determination and short-term adjustments. With continuous optimizations, it can become a robust automated system that tracks trends while controlling risks. It contains the core philosophies of trend trading and is worth in-depth studying.

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Strategy Arguments

Argument Default Description
v_input_1 80 Longterm Period
v_input_2 21 Shortterm Period
v_input_3 true Show Target
v_input_4 true Show Trend

Source (PineScript)

/*backtest
start: 2023-10-25 00:00:00
end: 2023-10-26 07:00:00
period: 5m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © LonesomeTheBlue

//@version=4
strategy("Grab Trading System", overlay = true)
flb = input(defval = 80, title = "Longterm Period", minval = 1)
slb = input(defval = 21, title = "Shortterm Period", minval = 1)
showtarget = input(defval = true, title = "Show Target")
showtrend = input(defval = true, title = "Show Trend")

major_resistance = highest(flb)
major_support = lowest(flb)
minor_resistance = highest(slb)
minor_support = lowest(slb)

var int trend = 0
trend := high > major_resistance[1] ? 1 : low < major_support[1] ? -1 : trend
strategy.entry("Buy", true, when = trend == 1 and low[1] == minor_support[1] and low > minor_support)
strategy.entry("Sell", false, when = trend == -1 and high[1] == minor_resistance[1] and high < minor_resistance)

if strategy.position_size > 0
    strategy.exit("Buy", stop = major_support, comment = "Stop Buy")
    if high[1] == minor_resistance[1] and high < minor_resistance
        strategy.close("Buy", comment ="Close Buy")
    
if strategy.position_size < 0
    strategy.exit("Sell", stop = major_resistance, comment = "Stop Sell")
    if low[1] == minor_support[1] and low > minor_support
        strategy.close("Sell", comment ="Close Sell")

if strategy.position_size != 0 and change(trend)
    strategy.close_all()
    
majr = plot(major_resistance, color = showtrend and trend == -1 and trend[1] == -1 ? color.red : na)
majs = plot(major_support, color = showtrend and trend == 1 and trend[1] == 1 ? color.lime : na)
minr = plot(minor_resistance, color = showtarget and trend == 1 and strategy.position_size > 0 ? color.yellow : na, style = plot.style_circles)
mins = plot(minor_support, color = showtarget and trend == -1 and strategy.position_size < 0 ? color.yellow : na, style = plot.style_circles)

fill(majs, mins, color = showtrend and trend == 1 and trend[1] == 1 ? color.lime : na, transp = 85)
fill(majr, minr, color = showtrend and trend == -1 and trend[1] == -1 ? color.red : na, transp = 85)

Detail

https://www.fmz.com/strategy/430901

Last Modified

2023-11-02 17:19:22