255 lines
7.8 KiB
Markdown
255 lines
7.8 KiB
Markdown
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> Name
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三重EMA随机RSI交叉金叉策略Three-EMA-Stochastic-RSI-Crossover-Golden-Cross-Strategy
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> Author
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ChaoZhang
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> Strategy Description
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[trans]
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### 概述
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三重EMA随机RSI交叉金叉策略是一种趋势跟踪策略。它结合了三重指数移动平均线指标和随机指数相对强弱指标,通过双重指标的交叉信号来判断入场时机。
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### 策略原理
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该策略的信号判断基于以下逻辑:
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1. 三重EMA判断趋势:8日线在上,14日线在中,50日线在下构成多头趋势,反之构成空头趋势。
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2. 随机RSI指标判断交叉:K线从下方向上穿过D线产生金叉信号,表示强势进入。
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3. 只做多头,空头暂不考虑。
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当三重EMA呈现上行趋势,且随机RSI出现金叉时,做多。在此基础上设置止损和止盈线来锁定利润。
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### 优势分析
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该策略结合双重指标判断,能有效锁定趋势。主要优势如下:
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1. 三重EMA过滤掉短期噪音,锁定中长线趋势。
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2. 随机RSI金叉确认强势进入。
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3. ATR智能止损止盈,锁定利润。
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4. 策略逻辑简单清晰,容易理解和实施。
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### 风险分析
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该策略主要风险如下:
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1. 大盘震荡时容易被套。当三重EMA指标在震荡中产生多次金叉死叉时,会频繁开仓建仓带来交易风险。可通过优化EMA参数或增加其他过滤指标来解决。
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2. 没有做空机会。只做多会错过底部反弹机会。可考虑加入 MACD 等指标,在空头趋势中寻找做空机会。
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### 优化方向
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该策略主要可优化的方向包括:
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1. 优化EMA参数,改进趋势判断。
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2. 增加MACD等指标,判断空头趋势,增加做空机会。
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3. 增加波动率指标,如ATR,改进止损止盈设定。
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4. 结合交易量指标,避免虚假突破。
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5. 利用机器学习等技术进行参数优化。
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### 总结
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总的来说,该三重EMA随机RSI交叉策略结合双重指标判断,可以有效过滤震荡、锁定趋势,是一种简单实用的趋势跟踪策略。通过继续优化参数、增加过滤指标、利用先进技术等手段,可以获得更好的策略表现。
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### Overview
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The Three EMA Stochastic RSI Crossover Golden Cross strategy is a trend following strategy. It combines the Three EMA indicator and the Stochastic Relative Strength Index to determine entry signals based on the crossover of the two indicators.
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### Strategy Logic
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The signal determination of this strategy is based on the following logic:
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1. Three EMA to determine the trend: 8-day EMA on top, 14-day EMA in the middle and 50-day EMA at the bottom form an uptrend; the reverse forms a downtrend.
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2. Stochastic RSI to determine crossover: when the K line crosses above the D line from below, a golden cross signal is generated, indicating a strong uptrend.
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3. Only go long; short is not considered for now.
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When the Three EMA shows an uptrend and the Stochastic RSI generates a golden cross, go long. Set stop loss and take profit based on this to lock in profits.
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### Advantage Analysis
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The main advantages of this strategy with dual indicator determination are:
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1. Three EMA filters out short term noise and locks in medium-long term trends.
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2. Stochastic RSI golden cross confirms strong uptrend.
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3. ATR smart stop loss and take profit locks in profits.
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4. Simple and clear strategy logic, easy to understand and implement.
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### Risk Analysis
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The main risks of this strategy are:
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1. Vulnerable to consolidation. Frequent open/close orders bring trading risk when Three EMA generates multiple crosses in sideways markets. This can be solved by optimizing EMA parameters or adding other filters.
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2. No shorting opportunities. Only longs miss bottom rebound chances. Consider adding MACD to find shorts in downtrends.
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### Optimization Directions
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The main optimization directions include:
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1. Optimize EMA parameters to improve trend determination.
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2. Add MACD etc to determine downtrends and increase short chances.
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3. Add volatility indicators like ATR to improve stops and limits.
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4. Incorporate volume to avoid false breakouts.
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5. Utilize machine learning etc for parameter optimization.
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### Conclusion
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In summary, the Three EMA Stochastic RSI Crossover strategy effectively filters out consolidation and locks in trends by combining dual indicator determination, making it a simple and practical trend following strategy. Further improvements on parameters, filters, technologies will lead to better strategy performance.
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[/trans]
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> Strategy Arguments
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|Argument|Default|Description|
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|----|----|----|
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|v_input_1|true|FromMonth|
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|v_input_2|true|FromDay|
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|v_input_3|2020|FromYear|
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|v_input_4|true|ToMonth|
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|v_input_5|true|ToDay|
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|v_input_6|9999|ToYear|
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|v_input_7|3|smoothK|
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|v_input_8|3|smoothD|
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|v_input_9|14|lengthRSI|
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|v_input_10|14|lengthStoch|
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|v_input_11_close|0|RSI Source: close|high|low|open|hl2|hlc3|hlcc4|ohlc4|
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|v_input_12|14|ATR Length|
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|v_input_13|8|EMA 1|
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|v_input_14|14|EMA 2|
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|v_input_15|50|EMA 3|
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|v_input_16|2|Profitfactor|
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|v_input_17|3|Stopfactor|
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> Source (PineScript)
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``` pinescript
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/*backtest
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start: 2024-01-01 00:00:00
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end: 2024-01-25 00:00:00
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period: 1h
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basePeriod: 15m
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exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
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*/
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//@version=4
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strategy(title="Stoch RSI Crossover Strat + EMA", shorttitle="Stoch RSI Cross + EMA Strat", overlay = true)
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// Time Range
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FromMonth=input(defval=1,title="FromMonth",minval=1,maxval=12)
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FromDay=input(defval=1,title="FromDay",minval=1,maxval=31)
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FromYear=input(defval=2020,title="FromYear",minval=2017)
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ToMonth=input(defval=1,title="ToMonth",minval=1,maxval=12)
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ToDay=input(defval=1,title="ToDay",minval=1,maxval=31)
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ToYear=input(defval=9999,title="ToYear",minval=2017)
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start=timestamp(FromYear,FromMonth,FromDay,00,00)
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finish=timestamp(ToYear,ToMonth,ToDay,23,59)
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window()=>true
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// See if this bar's time happened on/after start date
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afterStartDate = time >= start and time<=finish?true:false
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//STOCH RSI
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smoothK = input(3, minval=1)
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smoothD = input(3, minval=1)
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lengthRSI = input(14, minval=1)
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lengthStoch = input(14, minval=1)
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src = input(close, title="RSI Source")
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rsi1 = rsi(src, lengthRSI)
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k = sma(stoch(rsi1, rsi1, rsi1, lengthStoch), smoothK)
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d = sma(k, smoothD)
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//ATR
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lengthATR = input(title="ATR Length", defval=14, minval=1)
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atr = atr(lengthATR)
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//MULTI EMA
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emasrc = close,
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len1 = input(8, minval=1, title="EMA 1")
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len2 = input(14, minval=1, title="EMA 2")
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len3 = input(50, minval=1, title="EMA 3")
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ema1 = ema(emasrc, len1)
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ema2 = ema(emasrc, len2)
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ema3 = ema(emasrc, len3)
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col1 = color.lime
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col2 = color.blue
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col3 = color.orange
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//EMA Plots
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//plot(ema1, title="EMA 1", linewidth=1, color=col1)
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//plot(ema2, title="EMA 2", linewidth=1, color=col2)
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//plot(ema3, title="EMA 3", linewidth=1, color=col3)
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crossup = k[0] > d[0] and k[1] <= d[1]
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emapos = ema1 > ema2 and ema2 > ema3 and close > ema1
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barbuy = crossup and emapos
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//plotshape(crossup, style=shape.triangleup, location=location.belowbar, color=color.white)
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plotshape(barbuy, style=shape.triangleup, location=location.belowbar, color=color.green)
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longloss = sma(open, 1)
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//plot(longloss, color=color.red)
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//Buy and Sell Factors
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profitfactor = input(title="Profitfactor", type=input.float, step=0.1, defval=2)
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stopfactor = input(title="Stopfactor", type=input.float, step=0.1, defval=3)
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bought = strategy.position_size[1] < strategy.position_size
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longcondition = barbuy
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if (longcondition) and (afterStartDate) and strategy.opentrades < 1
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strategy.entry("Long", strategy.long)
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if (afterStartDate) and strategy.opentrades > 0
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barsbought = barssince(bought)
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profit_level = strategy.position_avg_price + (atr*profitfactor)
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stop_level = strategy.position_avg_price - (atr*stopfactor)
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strategy.exit("Take Profit/ Stop Loss", "Long", stop=stop_level[barsbought], limit=profit_level[barsbought])
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```
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> Detail
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https://www.fmz.com/strategy/440102
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> Last Modified
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2024-01-26 16:07:34
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