274 lines
9.8 KiB
Markdown
274 lines
9.8 KiB
Markdown
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> Name
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DEMA与EMA交叉结合ATR波动率的短期策略Momentum-Strategy-Based-on-DEMA-and-EMA-Crossover-with-ATR-Volatility-Filter
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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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### 一、策略概述
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本策略名称为“DEMA与EMA短期交叉结合ATR波动率策略”。该策略通过计算DEMA与EMA的交叉信号,结合ATR波动率指标,实现高效的短线交易策略。当DEMA下穿EMA,并且ATR波动率上升时,做空;当DEMA重新上穿EMA时,平仓。
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### 二、策略原理
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1. 计算DEMA指标。DEMA为双EMA移动平均线,通过计算一定周期内的双EMA,可以有效过滤短期市场噪音,提高信号准确率。
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2. 计算EMA指标。EMA为指数移动平均线,可以更快地反应价格变化。
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3. 计算ATR波动率。ATR为真实波动幅度指标,可以反映市场波动性和风险水平。当ATR上升时,代表市场波动加大,容易形成短线调整。
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4. 当DEMA下穿EMA,并且ATR波动率大于设置的参数时,表明股价开始下跌,市场 risk off,此时做空。
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5. 当DEMA重新上穿EMA时,表明价格形成支撑,开始反弹上涨,此时平仓。
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### 三、策略优势
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1. 双EMA结合EMA,可以有效提高信号的准确性。
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2. ATR波动率指标可以排除低风险的whipsaw信号。
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3. 短期操作,适合短线追踪,可以避免长时间对冲。
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4. 交易逻辑简单清晰,容易理解和实现。
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### 四、策略风险
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1. ATR参数设置不当可能错过交易机会。
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2. 需同时关注多空两侧信号,操作难度较大。
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3. ffected by short-term market volatility.
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解决方法:参数优化测试,调整参数;简化交易逻辑,只关注单边信号;适当放宽止损范围。
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### 五、策略优化方向
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1. 优化DEMA和EMA的参数,寻找最佳参数组合。
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2. 优化ATR的周期参数,确定最佳市场波动性衡量指标。
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3. 添加其他辅助指标,如BOLL通道,提高信号准确率。
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4. 增加止损和止盈规则,锁定更稳定的收益。
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### 六、总结
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本策略通过DEMA、EMA交叉和ATR波动率指标,构建了一个简单高效的短期交易策略。策略交易逻辑清晰,容易操作,可适应高频短线交易。下一步通过参数优化和规则优化,可望获得更稳定的超额收益。
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## I. Strategy Overview
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This strategy is named "Momentum Strategy Based on DEMA and EMA Crossover with ATR Volatility Filter". It generates short-term trading signals by detecting DEMA and EMA crossovers combined with the ATR volatility index. When DEMA crosses below EMA while ATR rises, it shorts the security. When DEMA re-crosses above EMA, it closes the position.
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## II. Strategy Logic
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1. Calculate the DEMA indicator. DEMA is the Double Exponential Moving Average using dual EMAs, which can filter out short-term market noise and improve signal accuracy.
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2. Calculate the EMA indicator. EMA is the Exponential Moving Average which reacts faster to price changes.
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3. Calculate the ATR volatility index. ATR measures market volatility and risk levels. Rising ATR represents increasing volatility and higher likelihood of short-term pullbacks.
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4. When DEMA crosses below EMA and ATR rises above the threshold, it signals the start of a short-term downtrend and increased market risk. The strategy shorts the security.
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5. When DEMA re-crosses above EMA, it signals a price support and upside bounce. The strategy closes the short position.
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## III. Advantages
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1. The combination of dual EMA and EMA can effectively improve signal accuracy.
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2. The ATR volatility filter eliminates low risk whipsaw trades.
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3. Short holding period fits short-term momentum tracking and avoids prolonged hedging.
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4. Simple and clear logic, easy to understand and implement.
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## IV. Risks
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1. Improper ATR parameters may miss trading opportunities.
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2. Need to monitor both long and short signals simultaneously, increasing operation difficulty.
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3. Affected by short-term market volatility.
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Solutions: Parameter optimization through backtesting. Simplify logic to focus on one side. Relax stop loss levels appropriately.
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## V. Optimization Directions
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1. Optimize parameters for DEMA and EMA to find best combinations.
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2. Optimize ATR lookback period to determine optimal volatility benchmark.
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3. Add other indicators like BOLL Bands to improve signal accuracy.
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4. Introduce stop loss and take profit rules to lock in more consistent profits.
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## VI. Conclusion
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This strategy constructs a simple yet effective short-term trading system using DEMA, EMA crossovers and the ATR volatility index. The clean logic and ease of operation make it suitable for high-frequency momentum trading. Further parameter and logic optimization can potentially yield more steady outperformance.
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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|10|DEMA LENGTH|
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|v_input_2_close|0|Source: close|high|low|open|hl2|hlc3|hlcc4|ohlc4|
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|v_input_3|25|EMA Length|
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|v_input_4_close|0|Source: close|high|low|open|hl2|hlc3|hlcc4|ohlc4|
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|v_input_5|false|Offset|
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|v_input_6|D|ATR Timeframe|
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|v_input_7|14|ATR Lookback Period|
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|v_input_8|true|Show Moving Average?|
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|v_input_9|0|Moving Average Type: EMA|SMA|
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|v_input_10|20|Moving Average Period|
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|v_input_11|5|Stop Loss ATR / %|
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|v_input_12|true|SL Multiplier|
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|v_input_13|20|Minimum profit %|
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> Source (PineScript)
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``` javascript
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/*backtest
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start: 2023-12-08 00:00:00
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end: 2024-01-07 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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// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
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// © Qorbanjf
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//@version=4
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// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
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// © Qorbanjf
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//@version=4
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strategy("Qorban: DEMA/EMA & VOL Short ONLY", shorttitle="DEMA/EMA & VOL SHORT", overlay=true)
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// DEMA
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length = input(10, minval=1, title="DEMA LENGTH")
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src = input(close, title="Source")
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e1 = ema(src, length)
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e2 = ema(e1, length)
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dema1 = 2 * e1 - e2
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plot(dema1, "DEMA", color=color.yellow)
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//EMA
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len = input(25, minval=1, title="EMA Length")
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srb = input(close, title="Source")
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offset = input(title="Offset", type=input.integer, defval=0, minval=-500, maxval=500)
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ema1 = ema(srb, len)
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plot(ema1, title="EMA", color=color.blue, offset=offset)
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// get ATR VALUE
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atr = atr(14)
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//ATRP (Average True Price in precentage)
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// Inputs
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atrTimeFrame = input("D", title="ATR Timeframe", type=input.resolution)
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atrLookback = input(defval=14,title="ATR Lookback Period",type=input.integer)
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useMA = input(title = "Show Moving Average?", type = input.bool, defval = true)
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maType = input(defval="EMA", options=["EMA", "SMA"], title = "Moving Average Type")
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maLength = input(defval = 20, title = "Moving Average Period", minval = 1)
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slType = input(title="Stop Loss ATR / %", type=input.float, defval=5.0, step=0.1)
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slMulti = input(title="SL Multiplier", type=input.float, defval=1.0, step=0.1)
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minimumProfitPercent = input(title="Minimum profit %", type=input.float, defval=20.00)
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// ATR Logic
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// atrValue = atr(atrLookback)
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// atrp = (atrValue/close)*100
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// plot(atrp, color=color.white, linewidth=2, transp = 30)
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atrValue = security(syminfo.tickerid, atrTimeFrame, atr(atrLookback))
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atrp = (atrValue/close)*100
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// Moving Average Logic
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ma(maType, src, length) =>
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maType == "EMA" ? ema(src, length) : sma(src, length) //Ternary Operator (if maType equals EMA, then do ema calc, else do sma calc)
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maFilter = security(syminfo.tickerid, atrTimeFrame, ma(maType, atrp, maLength))
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// Determine percentage of open profit
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var entry = 0.0
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distanceProfit = low - entry
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distanceProfitPercent = distanceProfit / entry
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//Determin if we have a long entry signal OR a sell position signal
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profitSignal = minimumProfitPercent == 0.0 or distanceProfitPercent >= minimumProfitPercent
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shortSignal = crossunder(dema1, ema1) and atrp > maFilter and strategy.position_size == 0 and not na(atr)
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exitSignal = profitSignal and strategy.position_size !=0 and crossover(dema1, ema1)
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// === INPUT BACKTEST RANGE ===
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//FromMonth = input(defval = 1, title = "From Month", minval = 1, maxval = 12)
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//FromDay = input(defval = 1, title = "From Day", minval = 1, maxval = 31)
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//FromYear = input(defval = 2017, title = "From Year", minval = 2000)
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//ToMonth = input(defval = 1, title = "To Month", minval = 1, maxval = 12)
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//ToDay = input(defval = 1, title = "To Day", minval = 1, maxval = 31)
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//ToYear = input(defval = 9999, title = "To Year", minval = 2017)
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//Invert trade direction & flipping
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//tradInvert = input(defval = false, title = "invert trade direction")
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//MOM_MR = input(defval=1, title = "MOM = 1 / MR = -1", minval=-1, maxval=1)
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//plots=input(false, title="Show plots?")
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// Get stop loss (in pips AND percentage distance)
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shortStop = highest(high, 4) - (atr * slMulti)
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shortStopPercent = close - (close * slMulti)
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// Save long stop & target prices (used for drawing data to the chart & deetermining profit)
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var shortStopSaved = 0.0
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var shortTargetSaved = 0.0
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enterShort = false
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if shortSignal
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shortStopSaved := slType ? shortStop : shortStopPercent
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enterShort:= true
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entry := close
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// long conditions
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//enterLong = crossover(dema1, ema1) and atrp < maFilter
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//exitSignal => crossunder(dema1, ema1)
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//Enter trades when conditions are met
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strategy.entry("short", strategy.short, when=enterShort, comment="SHORT")
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//place exit orders (only executed after trades are active)
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strategy.exit(id="Short exit",
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from_entry="short",
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limit=exitSignal ? close : na,
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stop=shortStopSaved,
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when=strategy.position_size > 0,
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comment="end short")
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//short strategy
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//goShort() => crossunder(dema1, ema1) and atrp > maFilter
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//KillShort() => crossover(dema1, ema1)
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//strategy.entry("SHORT", strategy.short, when = goShort())
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//strategy.close("COVER", when = KillShort())
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```
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> Detail
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https://www.fmz.com/strategy/438032
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> Last Modified
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2024-01-08 14:14:57
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