215 lines
7.3 KiB
Markdown
215 lines
7.3 KiB
Markdown
|
|
> Name
|
|
|
|
慢速平仓均线交易策略Slow-Heiken-Ashi-Exponential-Moving-Average-Trading-Strategy
|
|
|
|
> Author
|
|
|
|
ChaoZhang
|
|
|
|
> Strategy Description
|
|
|
|
|
|
|
|
[trans]
|
|
|
|
## 概述
|
|
|
|
本策略结合使用慢速Heiken Ashi和指数移动平均线来识别趋势,在趋势行情中进行长短双向交易。当价格超过100日EMA时做多,低于100日EMA时做空,并在特定条件下平仓。
|
|
|
|
## 策略原理
|
|
|
|
该策略使用以下指标组合:
|
|
|
|
1. 慢速Heiken Ashi:一种特殊类型的K线图,使用前一根K线的均价来绘制,可以过滤市场噪音,识别趋势。这里通过自适应Kama滤波器实现。
|
|
|
|
2. 指数移动平均线:对价格进行指数平滑后的均线,这里包含5日到100日多个周期的EMA。
|
|
|
|
具体交易逻辑是:
|
|
|
|
1. 当价格上穿100日EMA时,做多;当价格下穿100日EMA时,做空。
|
|
|
|
2. 平仓条件:当Heiken Ashi的开盘价交叉其收盘价时(潜在反转信号),对应的多头仓位通过反向交叉时平掉,空头仓位同理。
|
|
|
|
## 优势分析
|
|
|
|
该策略结合趋势判断和反转信号,可以在趋势行情中捕捉较大幅度的价格波动,同时通过反转信号来避免亏损扩大。
|
|
|
|
1. 使用EMA判断全局趋势方向,避免被局部震荡误导。
|
|
|
|
2. Heiken Ashi的交叉信号可以提早检测到反转机会。
|
|
|
|
3. 自适应Kama滤波器降低假信号概率。
|
|
|
|
## 风险分析
|
|
|
|
1. 大幅度突破EMA可能造成损失扩大。可适当缩短持仓周期或者设定止损。
|
|
|
|
2. 反转信号可能滞后,可考虑降低仓位规模以控制风险。
|
|
|
|
3. EMA参数设置不当也会影响策略表现,应根据不同品种和市场环境调整。
|
|
|
|
## 优化方向
|
|
|
|
1. 可结合多种指标判断,避免EMA和Heiken Ashi都发出错误信号的概率。比如加上MACD、布林带等。
|
|
|
|
2. 可以根据市场波动率实时优化EMA参数,在高波动时收紧止损,低波动时放宽滑点。
|
|
|
|
3. 基于机器学习算法自动优化各参数设置和过滤规则,使策略更稳健。
|
|
|
|
## 总结
|
|
|
|
该策略整体来说较为简单实用,同时结合趋势和反转,在参数优化和风险控制到位的情况下,仍有不错的盈利空间。后续可从优化方向入手使策略更适应市场环境的变化。
|
|
|
|
||
|
|
|
|
## Overview
|
|
|
|
This strategy combines slow Heiken Ashi and exponential moving averages to identify trends and make long/short trades during trending markets. It goes long when price is above 100-day EMA and goes short when price is below 100-day EMA, closing positions on specific reversal signals.
|
|
|
|
## Strategy Logic
|
|
|
|
The strategy employs the following indicators:
|
|
|
|
1. Slow Heiken Ashi: A special type of candlestick calculated using the previous bar's average price, filtering out market noise and identifying trends. Implemented here using adaptive KAMA filter.
|
|
|
|
2. Exponential Moving Average: Smoothed price averages with exponential weighting applied. Contains EMAs from 5-day to 100-day periods.
|
|
|
|
The specific trading logic is:
|
|
|
|
1. Go long when price crosses above 100-day EMA, go short when price crosses below 100-day EMA.
|
|
|
|
2. Exit positions when Heiken Ashi's open price crosses its close price (potential reversal signal). Long positions are closed on reverse crossovers and short positions likewise.
|
|
|
|
## Advantage Analysis
|
|
|
|
The strategy combines trend-following and reversal signals, capturing large price swings during trending markets while avoiding excessive losses when trends reverse.
|
|
|
|
1. EMA determines overall market trend direction, preventing distraction from localized fluctuations.
|
|
|
|
2. Heiken Ashi crossovers provide early detection of potential reversals.
|
|
|
|
3. Adaptive KAMA filter reduces false signals.
|
|
|
|
## Risk Analysis
|
|
|
|
1. Sudden, large EMA breaks can lead to amplified losses. Consider tighter holding periods or stop losses.
|
|
|
|
2. Reversal signals may lag. Lower position sizes to control risk.
|
|
|
|
3. Inadequate EMA parameterization negatively impacts performance. Parameters should adapt to different products and market environments.
|
|
|
|
## Optimization Directions
|
|
|
|
1. Incorporate additional indicators like MACD and Bollinger Bands to avoid simultaneous EMA/Heiken Ashi errors.
|
|
|
|
2. Dynamically optimize EMA parameters based on market volatility, tightening stops/increasing slippage tolerance accordingly.
|
|
|
|
3. Utilize machine learning to automatically tune parameters, filter rules and improve robustness.
|
|
|
|
## Conclusion
|
|
|
|
The strategy is relatively simple and practical overall, combining both trend and reversal elements. With well-tuned parameters and risk controls, it retains decent profit potential. Further improvements can build on the optimization directions to make the strategy more adaptive.
|
|
|
|
[/trans]
|
|
|
|
> Strategy Arguments
|
|
|
|
|
|
|
|
|Argument|Default|Description|
|
|
|----|----|----|
|
|
|v_input_1|6|Period|
|
|
|v_input_2|0.666|fastend|
|
|
|v_input_3|0.0645|slowend|
|
|
|v_input_4|true|Exponential MA|
|
|
|
|
|
|
> Source (PineScript)
|
|
|
|
``` pinescript
|
|
/*backtest
|
|
start: 2023-12-14 00:00:00
|
|
end: 2023-12-19 10:00:00
|
|
period: 15m
|
|
basePeriod: 5m
|
|
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
|
|
*/
|
|
|
|
//@version=2
|
|
strategy("NoScoobies Slow Heiken Ashi and Exponential Moving average Strategy 2.2", overlay=true)
|
|
|
|
//SHA
|
|
p=input(6,title='Period')
|
|
fastend=input(0.666,step=0.001)
|
|
slowend=input(0.0645,step=0.0001)
|
|
kama(close,amaLength)=>
|
|
diff=abs(close[0]-close[1])
|
|
signal=abs(close-close[amaLength])
|
|
noise=sum(diff, amaLength)
|
|
efratio=noise!=0 ? signal/noise : 1
|
|
smooth=pow(efratio*(fastend-slowend)+slowend,2)
|
|
kama=nz(kama[1], close)+smooth*(close-nz(kama[1], close))
|
|
kama
|
|
hakamaper=1
|
|
Om=sma(open,p)
|
|
Hm=sma(high,p)
|
|
Lm=sma(low,p)
|
|
Cm=sma(close,p)
|
|
vClose=(Om+Hm+Lm+Cm)/4
|
|
vOpen= kama(vClose[1],hakamaper)
|
|
vHigh= max(Hm,max(vClose, vOpen))
|
|
vLow= min(Lm,min(vClose, vOpen))
|
|
asize=vOpen-vClose
|
|
size=abs(asize)
|
|
|
|
//MMAR
|
|
exponential = input(true, title="Exponential MA")
|
|
src = close
|
|
ma05 = exponential ? ema(src, 05) : sma(src, 05)
|
|
ma10 = exponential ? ema(src, 10) : sma(src, 10)
|
|
ma15 = exponential ? ema(src, 15) : sma(src, 15)
|
|
ma20 = exponential ? ema(src, 20) : sma(src, 20)
|
|
ma25 = exponential ? ema(src, 25) : sma(src, 25)
|
|
ma30 = exponential ? ema(src, 30) : sma(src, 30)
|
|
ma35 = exponential ? ema(src, 35) : sma(src, 35)
|
|
ma40 = exponential ? ema(src, 40) : sma(src, 40)
|
|
ma45 = exponential ? ema(src, 45) : sma(src, 45)
|
|
ma50 = exponential ? ema(src, 50) : sma(src, 50)
|
|
ma55 = exponential ? ema(src, 55) : sma(src, 55)
|
|
ma60 = exponential ? ema(src, 60) : sma(src, 60)
|
|
ma65 = exponential ? ema(src, 65) : sma(src, 65)
|
|
ma70 = exponential ? ema(src, 70) : sma(src, 70)
|
|
ma75 = exponential ? ema(src, 75) : sma(src, 75)
|
|
ma80 = exponential ? ema(src, 80) : sma(src, 80)
|
|
ma85 = exponential ? ema(src, 85) : sma(src, 85)
|
|
ma90 = exponential ? ema(src, 90) : sma(src, 90)
|
|
ma95 = exponential ? ema(src, 95) : sma(src, 95)
|
|
ma100 = exponential ? ema(src, 100) : sma(src, 100)
|
|
|
|
longcondition=src>ma100
|
|
shortcondition=src<ma100
|
|
long=longcondition and size<size[1] and (vOpen<vClose or vOpen>vClose)
|
|
short=shortcondition and size<size[1] and (vOpen>vClose or vOpen<vClose)
|
|
close_long=longcondition and crossunder(open, vClose)
|
|
close_short=shortcondition and crossover(open, vClose)
|
|
_close=close_long[2] or close_short[2]
|
|
|
|
if long
|
|
strategy.entry("LONG", strategy.long)
|
|
strategy.close("LONG", when = _close)
|
|
if short
|
|
strategy.entry("SHORT", strategy.short)
|
|
strategy.close("SHORT", when = _close)
|
|
|
|
|
|
```
|
|
|
|
> Detail
|
|
|
|
https://www.fmz.com/strategy/436228
|
|
|
|
> Last Modified
|
|
|
|
2023-12-22 13:18:34
|