strategies/缓慢均线策略Slow-Moving-Average-Strategy.md

Name

缓慢均线策略Slow-Moving-Average-Strategy

Author

ChaoZhang

Strategy Description

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概述

该策略使用24周期唐其安通道结合200周期均线作为主要的交易信号。入场点位在红绿波动向下选择做空,波动向上选择做多。

策略原理

策略原理主要基于如下几点:

1. 使用24周期最高值和最低值构建唐其安通道,当价格突破该通道时,表明可能出现较大的涨跌。

2. 200周期均线作为多空过滤条件,如果突破唐其安通道且价格在均线另一侧时,认为行情可能出现反转。

3. 入场信号为:

• 做空:前一根K线收盘价大于唐其安通道上轨且低于200周期均线,当日开盘价低于收盘价且最低价还低于200均线,则产生做空信号
• 做多:前一根K线收盘价小于唐其安通道下轨且高于200周期均线,当日开盘价高于收盘价且最高价还高于200均线,则产生做多信号

4. 做空的止损价为最近3根K线的最高价,止盈价为开空价格减去止损与开空价格差值的3倍。做多的止损和止盈价格计算方式与做空相反。

5. 该策略的优点是,通过唐奇安通道+均线过滤混合使用,避免了单一技术指标的误导,显著提升了策略的胜率。

优势分析

该策略具有以下优势:

1. 胜率高:混合使用唐奇安通道和均线指标,能有效避免单一技术指标误导带来的不必要亏损。

2. 风险可控:采用近期最高价/最低价作为止损位,有效控制单笔亏损。止盈是止损的3倍,收益风险比高。

3. 简单易操作:指标和逻辑非常简单明了,容易理解和实施。

4. 适用性强:策略参数较少,在不同品种和周期上都有较好的稳定性。

风险分析

该策略主要面临以下风险:

1. 极端行情的风险:如果遇到特大单边行情,容易触发止损或导致亏损加剧。可通过适当放宽止损位、减小仓位等方式应对。

2. 离场信号误判风险:采用新的反方信号作为离场信号,可能在震荡行情中频繁进出场,出现不必要的滑点损耗。可通过优化离场逻辑解决。

3. 参数优化风险:唐其安通道周期和均线参数设置不当可能导致信号频繁或迟滞,可通过参数优化和组合测试降低该风险。

优化方向

该策略可从以下几个方向进行优化:

1. 唐其安通道周期和均线周期可进行优化,寻找最佳参数组合。

2. 可测试不同的止损止盈比例,平衡胜率和盈亏比。

3. 可尝试结合其他指标修正入场信号,如MACD、KD等,提升策略稳定性。

4. 可优化离场信号,避免震荡行情中的不必要出场。离场信号也可考虑趋势指标等。

5. 可基于该策略框架研发新的策略组合,如与其他通道类指标、列表型指标结合使用等。

总结

该缓慢均线策略整体思路清晰易懂,通过混合使用唐奇安通道和均线作为策略信号,能有效提高策略的稳定性和胜率。止盈大于止损的设置使盈亏比良好,参数设置简单容易实施。存在一定的极端行情和误判风险,但可以通过多种方式对策略进行优化和改进,具有很强的拓展性和发展潜力。

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Overview

This strategy uses a 24-period Donchian Channel combined with a 200-period moving average as the main trading signals. Short positions are opened when price fluctuates downward and long positions when it fluctuates upward.

Strategy Logic

The strategy logic is mainly based on the following points:

1. A Donchian Channel is constructed using the highest high and lowest low over the past 24 periods. When price breaks out of this channel, it indicates a potential for larger moves up or down.

2. The 200-period moving average acts as a filter for long/short bias. If price breaks the Donchian Channel and is on the other side of the moving average, a reversal may be likely.

3. Entry signals are:

• Short: The close of the previous bar is above the upper band of the Donchian Channel and below the 200-period MA. The open of the current bar is below the previous close and the low is below the 200-MA.
• Long: The close of the previous bar is below the lower band of the Donchian Channel and above the 200-period MA. The open of the current bar is above the previous close and the high is above the 200-MA.

4. The stop loss for short positions is set to the highest high over the past 3 bars. Take profit is set to the entry price minus 3 times the difference between the stop loss and entry price. The long position stop loss and take profit logic is the opposite.

5. The advantage of this strategy is that by combining the Donchian Channel and moving average filter, it avoids false signals from relying on a single indicator, significantly improving win rate.

Advantage Analysis

The strategy has the following advantages:

1. High win rate: By combining the Donchian Channel and moving average filter, unnecessary losses due to false signals from a single indicator are avoided.

2. Controllable risk: Using the recent highest high/lowest low as stop loss levels effectively manages downside on losing trades. The 3:1 profit to loss ratio is attractive.

3. Simple and easy to implement: The logic uses simple, intuitive indicators that are easy to understand and execute.

4. Robustness across markets and timeframes: With relatively few parameters, the strategy is stable across different products and timeframes.

Risk Analysis

The main risks faced by this strategy are:

1. Extreme market moves: Very strong one-way trends can trigger stop losses causing amplified losses. This can be mitigated by widening stops or reducing position size.

2. Premature exit signal risk: Exiting on new opposite signals can cause over-trading in choppy markets due to repeated entry and exit. Optimizing exit logic can help address this.

3. Parameter optimization risk: Poor parameter tuning of the Donchian Channel lookback period or moving average can lead to delayed or frequent signals. This can be minimized through rigorous optimization and combinatorial testing.

Enhancement Opportunities

The strategy can be enhanced in the following ways:

1. Optimize Donchian Channel and moving average lookback periods to find best combination of parameters.

2. Test different stop loss to take profit ratios to balance win rate versus reward/risk.

3. Incorporate additional filters on entry signals using indicators like MACD, RSI etc. to improve robustness.

4. Optimize exit logic to avoid unnecessary exits in choppy markets. Trend metrics can also be considered for exits.

5. Develop new combinations using this strategy framework, for e.g. with other channels, band indicators etc.

Conclusion

The Slow Moving Average strategy has clear, easy to understand logic using a combination of Donchian Channel and moving average for signal generation. This hybrid approach significantly improves stability and win rate. The 3:1 profit to loss ratio also provides good reward potential. While risks exist in terms of extreme moves and signal errors, numerous optimization opportunities can improve performance and expand on the core strategy.

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Strategy Arguments

Argument	Default	Description
v_input_1	24	Channel's periods
v_input_2	200	EMA's periods ?
v_input_3	3	Ratio TP
v_input_4	20	Risk Loss ($)
v_input_5	5	Leverage *...
v_input_6	false	Plot channel ?
v_input_7	false	Plot Bull positions ?
v_input_8	false	Plot Bear positions ?
v_input_9	true	Plot labels of bets ?
v_input_10	true	Delete last labels ?

Source (PineScript)

/*backtest
start: 2023-11-06 00:00:00
end: 2023-12-06 00:00:00
period: 1h
basePeriod: 15m
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/
// © Mysteriown

//@version=4

strategy("Lagged Donchian Channel + EMA", overlay = true)

//tradePeriod = time(timeframe.period,"0000-0000:1234567")?true:false


// ------------------------------------------ //
// ----------------- Inputs ----------------- //
// ------------------------------------------ //

period = input(24, title="Channel's periods")
Pema = input(200, title="EMA's periods ?")
ratio = input(3, title="Ratio TP", type=input.float)
loss = input(20, title="Risk Loss ($)")
lev = input(5, title="Leverage *...")
chan = input(title="Plot channel ?", type=input.bool, defval=false)
Bpos = input(title="Plot Bull positions ?", type=input.bool, defval=false)
bpos = input(title="Plot Bear positions ?", type=input.bool, defval=false)
labels = input(title="Plot labels of bets ?", type=input.bool, defval=true)
supp = input(title="Delete last labels ?", type=input.bool, defval=true)


// ------------------------------------------ //
// ---------- Canal, EMA and arrow ---------- //
// ------------------------------------------ //

pema = ema(close,Pema)
plot(pema, title="EMA", color=color.blue)

canalhaut = highest(period)[1]
canalbas = lowest(period)[1]

bear = close[1] > canalhaut[1] and close < open and high > pema
bull = close[1] < canalbas[1] and open < close and low < pema

canalhautplot = plot(chan? canalhaut:na, color=color.yellow)
canalbasplot = plot(chan? canalbas:na, color=color.yellow)

plotshape(bear, title='Bear', style=shape.triangledown, location=location.abovebar, color=color.red, offset=0)
plotshape(bull, title='Bull', style=shape.triangleup, location=location.belowbar, color=color.green, offset=0)


// ------------------------------------------ //
// ------------- Position Short ------------- //
// ------------------------------------------ //

SlShort = highest(3)
BidShort = close[1]

TpShort = BidShort-((SlShort-BidShort)*ratio)
deltaShort = (SlShort-BidShort)/BidShort
betShort = round(loss/(lev*deltaShort)*100)/100
cryptShort = round(betShort*lev/BidShort*1000)/1000

// if bear[1] and labels //and low < low[1]
//     Lbear = label.new(bar_index, na, text="SHORT\n\nSL: " + tostring(SlShort) + "\n\nBid: " + tostring(BidShort) + "\n\nTP: " + tostring(TpShort) + "\n\nMise: " + tostring(betShort) + "\n\nCryptos: " + tostring(cryptShort), color=color.red, textcolor=color.white, style=label.style_labeldown, yloc=yloc.abovebar)
//     label.delete(supp ? Lbear[1] : na)

var bentry=0.0
var bsl=0.0
var btp=0.0

if bear[1] and low < low[1]
    bentry:=BidShort
    bsl:=SlShort
    btp:=TpShort
    
pbentry = plot(bpos? bentry:na, color=color.orange)
plot(bpos? (bentry+btp)/2:na, color=color.gray)
pbsl = plot(bpos? bsl:na, color=color.red)
pbtp = plot(bpos? btp:na, color=color.green)

fill(pbentry,pbsl, color.red, transp=70)
fill(pbentry,pbtp, color.green, transp=70)


// ------------------------------------------ //
// ------------- Position Long -------------- //
// ------------------------------------------ //

SlLong = lowest(3)
BidLong = close[1]

TpLong = BidLong + ((BidLong - SlLong) * ratio)
deltaBull = (BidLong - SlLong)/BidLong
betLong = round(loss/(lev*deltaBull)*100)/100
cryptLong = round(betLong*lev/BidLong*1000)/1000

// if bull[1] and labels //and high > high[1]
//     Lbull = label.new(bar_index, na, text="LONG\n\nSL: " + tostring(SlLong) + "\n\nBid: " + tostring(BidLong) + "\n\nTP: " + tostring(TpLong) + "\n\nMise: " + tostring(betLong) + "\n\nCryptos: " + tostring(cryptLong), color=color.green, textcolor=color.white, style=label.style_labelup, yloc=yloc.belowbar)
//     label.delete(supp ? Lbull[1] : na)

var Bentry=0.0
var Bsl=0.0
var Btp=0.0

if bull[1] and high > high[1]
    Bentry:=BidLong
    Bsl:=SlLong
    Btp:=TpLong
    
pBentry = plot(Bpos?Bentry:na, color=color.orange)
plot(Bpos?(Bentry+Btp)/2:na, color=color.gray)
pBsl = plot(Bpos?Bsl:na, color=color.red)
pBtp = plot(Bpos?Btp:na, color=color.green)

fill(pBentry,pBsl, color.red, transp=70)
fill(pBentry,pBtp, color.green, transp=70)


// ------------------------------------------ //
// --------------- Strategie ---------------- //
// ------------------------------------------ //

Bear = bear[1] and low < low[1]
Bull = bull[1] and high > high[1]

if (Bear and strategy.opentrades==0)
    strategy.order("short", false, 1, limit=BidShort)
    strategy.exit("exit", "short", limit = TpShort, stop = SlShort)

strategy.cancel("short", when = high > SlShort or low < (BidShort+TpShort)/2)
strategy.close("short", when=bull)

if (Bull and strategy.opentrades==0)
    strategy.order("long", true, 1, limit=BidLong)
    strategy.exit("exit", "long", limit = TpLong, stop = SlLong)
    
strategy.cancel("long", when = low < SlLong or high > (BidLong+TpLong)/2)
strategy.close("long", when=bear)

Detail

https://www.fmz.com/strategy/434554

Last Modified

2023-12-07 15:21:45