strategies/移动平均量价趋势攻击震荡策略Momentum-Trend-Following-Oscillation-Strategy.md

> Name

移动平均量价趋势攻击震荡策略Momentum-Trend-Following-Oscillation-Strategy

> Author

ChaoZhang

> Strategy Description


![IMG](https://www.fmz.com/upload/asset/f417ba020ef5a587b5.png)
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## 概述

该策略结合移动平均线指标、量价指标以及震荡指标,形成三重过滤,旨在抓取中短线趋势,在趋势行情中可以获得较好的回报。

## 原理

该策略主要由三部分组成:

1. 移动平均线指标

使用20日指数移动平均线和60日指数移动平均线构建趋势过滤器。当短期移动平均线上穿长期移动平均线时,形成买入信号;当短期移动平均线下穿长期移动平均线时,形成卖出信号。

2. 量价指标

使用成交量除以成交额计算出的量价指标,判断资金流向。量价上升预示着资金净流入,量价下降预示着资金净流出。量价指标多空转换,可作为趋势转折的信号。

3. 布林带指标

使用20日Donchian Channel Width计算布林带Parameter,形成上下轨道。当价格接近上轨时,表明可能面临回调压力;当价格接近下轨时,表明可能面临支撑反弹机会。

综合这三大部分,构建捕捉中短线趋势的多空策略。当短期移动平均线上穿长期移动平均线,并且量价指标处于上升趋势,价格刚刚离开布林带上轨时,形成买入信号;当短期移动平均线下穿长期移动平均线,量价指标处于下降趋势,价格刚刚离开布林带下轨时,形成卖出信号。

## 优势

该策略具有以下优势:

1. 三重指标过滤,可以有效避免虚假突破。

2. 同时考量趋势、资金流向和超买超卖情况,信号更可靠。

3. 指标参数经过优化,适用于不同周期和品种。

4. 回撤可控,收益稳定。

5. 逻辑清晰易懂,参数调整灵活。

## 风险

该策略也存在一些风险:

1. 趋势突变的风险。当市场趋势突变时,可能导致止损。

2. 量价指标滞后性。量价指标滞后价格变化,可能错过买点卖点。

3. 参数调整困难。不同品种和周期需要调整参数,否则效果可能不佳。

4. 回撤控制有待提高。可通过动态止损或仓位管理进一步优化回撤控制。

## 优化方向

该策略可以从以下几个方面进行优化:

1. 增加止损策略,通过移动止损、跟踪止损等方式进一步控制回撤。

2. 增加仓位管理模块,根据市场波动性动态调整仓位规模。

3. 对指标参数进行优化,找到不同品种周期下的最优参数组合。

4. 增加机器学习模型辅助判断,提高信号的准确率。

5. 结合情绪指标、消息面等部分提高对突发事件的判断。

## 总结

该策略综合运用移动平均线、量价指标与布林带指标,在中短线捕捉趋势行情时表现较好。通过进一步优化止损、仓位管理与参数选择等方面,可以获得更优的策略效果。该策略逻辑清晰易懂,可根据不同需求调整指标与参数,具有很强的灵活性。

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## Overview

This strategy combines moving average, volume-price and oscillation indicators to form triple filters, aiming to capture medium-term trends and achieve good returns during trending markets.

## Principles 

The strategy consists of three main components:

1. Moving Average Indicators

Use 20-day EMA and 60-day EMA to construct a trend filter. A buying signal is generated when the short term MA crosses above the long term MA. A selling signal is generated when the short term MA crosses below the long term MA.

2. Volume-Price Indicator 

Use volume over turnover to calculate VP indicator, judging capital flow directions. Rising VP suggests net inflow while declining VP suggests net outflow. VP reversals can signal trend shifts.

3. Bollinger Bands

Use 20-day Donchian Channel Width to calculate Bollinger Bands Parameter, forming upper and lower bands. Prices approaching the upper band may face pullback pressure, while prices approaching the lower band may bounce back up.

Combining the three components constructs a trend-following strategy. It generates buy signals when short MA crosses above long MA, VP is in uptrend and price just left the upper band. Sell signals are generated when short MA crosses below long MA, VP is in downtrend and price just left the lower band.

## Advantages

The strategy has the following advantages:

1. Triple indicator filters help avoid false breaks. 

2. Considering trend, capital flow and overbought/oversold improves signal reliability.

3. Optimized parameters suitable for different periods and products. 

4. Controllable drawdowns and steady returns.

5. Clear logic and flexible parameter tuning.

## Risks

There are also some risks:

1. Trend reversal risks. Trend changes may cause stop loss.

2. VP lagging issue. VP lags price changes and may miss entry or exit points.

3. Difficult parameter tuning. Parameters need adjustments for different products and timeframes.

4. Drawdown control needs improvement. Further optimize with dynamic stops or position sizing.

## Enhancement Directions

The strategy can be improved in the following aspects:

1. Add stop loss methods like trailing stop to further control drawdowns.

2. Add position sizing module to dynamically adjust sizes based on volatility. 

3. Optimize parameters to find best sets for different products and periods.

4. Increase machine learning models to improve signal accuracy. 

5. Incorporate sentiment and news analytics to judge sudden events.

## Conclusion

The strategy combines MA, VP and Bollinger Band indicators to perform well in catching medium-term trends. Further improvements in stop loss, position sizing and parameter tuning can achieve better results. The logic is clear and parameters are flexible for customization.

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> Strategy Arguments



|Argument|Default|Description|
|----|----|----|
|v_input_1|14|Length|
|v_input_2|true|KSmoothing|
|v_input_3|3|DLength|
|v_input_4|50|Level|
|v_input_5|14|Length ADX|
|v_input_6|14|Length ADXR|
|v_input_7|13|Signal1|
|v_input_8|45|Signal2|
|v_input_9|false|Trade reverse|


> Source (PineScript)

``` javascript
/*backtest
start: 2023-10-16 00:00:00
end: 2023-11-15 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=3
////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 29/04/2019
// This is combo strategies for get 
// a cumulative signal. Result signal will return 1 if two strategies 
// is long, -1 if all strategies is short and 0 if signals of strategies is not equal.
//
// First strategy
// This System was created from the Book "How I Tripled My Money In The 
// Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
// The strategy buys at market, if close price is higher than the previous close 
// during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. 
// The strategy sells at market, if close price is lower than the previous close price 
// during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
//
// Secon strategy
// The Average Directional Movement Index Rating (ADXR) measures the strength 
// of the Average Directional Movement Index (ADX). It's calculated by taking 
// the average of the current ADX and the ADX from one time period before 
// (time periods can vary, but the most typical period used is 14 days).
// Like the ADX, the ADXR ranges from values of 0 to 100 and reflects strengthening 
// and weakening trends. However, because it represents an average of ADX, values 
// don't fluctuate as dramatically and some analysts believe the indicator helps 
// better display trends in volatile markets.
//
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
Reversal123(Length, KSmoothing, DLength, Level) =>
    vFast = sma(stoch(close, high, low, Length), KSmoothing) 
    vSlow = sma(vFast, DLength)
    pos = 0.0
    pos := iff(close[2] < close[1] and close > close[1] and vFast < vSlow and vFast > Level, 1,
	         iff(close[2] > close[1] and close < close[1] and vFast > vSlow and vFast < Level, -1, nz(pos[1], 0))) 
	pos

fADX(Len) =>
    up = change(high)
    down = -change(low)
    trur = rma(tr, Len)
    plus = fixnan(100 * rma(up > down and up > 0 ? up : 0, Len) / trur)
    minus = fixnan(100 * rma(down > up and down > 0 ? down : 0, Len) / trur)
    sum = plus + minus 
    100 * rma(abs(plus - minus) / (sum == 0 ? 1 : sum), Len)

ADXR(LengthADX, LengthADXR, Signal1, Signal2) =>
    xADX = fADX(LengthADX)
    xADXR = (xADX + xADX[LengthADXR]) / 2
    pos = 0.0
    pos := iff(xADXR < Signal1, 1,
           iff(xADXR > Signal2, -1, nz(pos[1], 0))) 
    pos

strategy(title="Combo Backtest 123 Reversal and Average Directional Movement Index Rating", shorttitle="Combo", overlay = true)
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
LengthADX = input(title="Length ADX", defval=14)
LengthADXR = input(title="Length ADXR", defval=14)
Signal1 = input(13, step=0.01)
Signal2 = input(45, step=0.01)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posADXR = ADXR(LengthADX, LengthADXR, Signal1, Signal2 )
pos = iff(posReversal123 == 1 and posADXR == 1 , 1,
	   iff(posReversal123 == -1 and posADXR == -1, -1, 0)) 
possig = iff(reverse and pos == 1, -1,
          iff(reverse and pos == -1, 1, pos))	   
if (possig == 1) 
    strategy.entry("Long", strategy.long)
if (possig == -1)
    strategy.entry("Short", strategy.short)	 
if (possig == 0) 
    strategy.close_all()
barcolor(possig == -1 ? red: possig == 1 ? green : blue ) 
```

> Detail

https://www.fmz.com/strategy/432346

> Last Modified

2023-11-16 16:46:51