240 lines
9.2 KiB
Markdown
240 lines
9.2 KiB
Markdown
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> Name
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均线先行指标短期做空策略Short-term-Bearish-Strategy-Based-on-EMA-Crossover-and-Bear-Power-Indicators
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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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本策略结合了均线先行指标和熊强力指标,形成短期看跌方向信号的组合策略。均线先行指标判断趋势,熊强力指标确定做空时机。策略适合短线操作,追踪市场调整行情。
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## 策略原理
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1. 均线先行指标:计算2/20周期的指数移动平均线EMA,当价格低于SMA时看跌,高于时看涨。
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2. 熊强力指标:计算当日收盘价与开盘价的差值,作为“强力值”。强力值大于预设的卖出参数时为熊ish信号,-1做空;强力值小于预设买入参数时为多头信号,1做多;否则为0 持平。
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3. 结合两个指标,当均线先行指标<0 且熊强力指标<-1时生成做空信号。
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4. 根据做空信号,策略开仓做空;根据平仓信号,策略平掉头寸。可设置反转参数,将做多做空方向对调。
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## 优势分析
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1. 均线先行指标可提前判断趋势反转点。
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2. 熊强力指标可捕捉当日强力跌势的做空时机。
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3. 组合双指标,可过滤假突破,确定较强势跌势的短线做空点。
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4. 可调参数灵活,适合不同品种及市场环境。
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5. 可反转做多做空方向,应对多空双向行情。
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## 风险分析
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1. 均线指标存在滞后性,可能错过趋势反转最佳点位。
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2. 熊强力指标对盘整震荡市容易造成错误信号。
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3. 无法判断趋势中长线走势,存在被套风险。
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4. 需谨慎选择参数,如EMA周期过短、卖出阈值过大等都会增加假信号。
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5. 需关注重要经济数据发布,避免计划交易时间段。
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## 优化方向
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1. 可考虑加入止损策略,降低单笔损失。
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2. 可配合动量指标等过滤器,减少较弱势跌的假信号。
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3. 可加入更长周期均线判断大趋势方向,避免逆势操作。
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4. 可优化参数设置,如自适应EMA周期,实时调整卖出阈值等。
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5. 可考虑跨时间周期组合,同时关注短中长线指标信号。
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## 总结
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本策略首先利用均线先行判断大盘走势和趋势反转点,再通过熊强力指标捕捉当日强势做空时机,形成较强势跌的短线做空策略。策略优点是简单实用,可灵活调参适应不同市场环境,且可反转做多做空方向。但也存在错过最优点位、产生假信号等风险。可通过严格的参数优化、加入过滤器及止损等进一步提高策略稳定性。
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## Overview
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This strategy combines the EMA crossover indicator and the bear power indicator to generate short-term bearish signals. The EMA crossover judges the trend while the bear power pinpoints the short selling timing. The strategy is suitable for short-term trading to catch market corrections.
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## Strategy Logic
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1. EMA Crossover: Calculates the 2/20 period exponential moving average (EMA) and generates sell signals when price is below EMA.
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2. Bear Power: Calculates the difference between the closing price and opening price of the day as the "power value". Power value greater than the sell threshold gives bearish signal (-1 for short); power value lower than the buy threshold gives bullish signal (1 for long); otherwise 0 for neutral.
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3. Combining the two indicators, short signal is generated when EMA crossover <0 and bear power <-1.
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4. The strategy opens short based on the sell signal and closes position based on the exit signal. The reverse parameter can switch the long/short directions.
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## Advantages
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1. EMA crossover can predict trend reversal points in advance.
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2. Bear power captures short-selling opportunities during strong intraday drops.
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3. Combining two indicators helps filter false breakouts and identify stronger bearish momentum.
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4. Flexible parameters suit different products and market environments.
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5. Reversal function adapts to two-way markets.
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## Risks
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1. EMA crossover may lag behind the optimal turning points.
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2. Bear power may generate false signals during range-bound consolidations.
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3. It fails to determine medium-long term trends, with risk of being trapped.
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4. Parameter tuning required as inappropriate settings like overly short EMA period or too high sell threshold could increase false signals.
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5. Pay attention to key economic events to avoid planned trading sessions.
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## Enhancement
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1. Consider adding stop loss to limit per trade loss.
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2. Add filters like momentum indicators to avoid weak bearish signals.
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3. Add longer period EMAs to determine major trend direction and avoid counter-trend trades.
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4. Optimize parameters like adaptive EMA period and dynamic sell threshold.
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5. Consider combining multiple timeframes to incorporate short, medium and long-term indicators.
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## Conclusion
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This strategy first uses EMA crossover to determine the major trend and reversal points, then captures strong intraday sell-off opportunities using the bear power indicator, forming a robust short-term bearish strategy. The advantages lie in its simplicity, flexibility to adapt to different market environments, and ability to reverse long/short directions. However, risks like missing optimal points and generating false signals remain. Further improvements on parameter optimization, adding filters and stop loss could help enhance the strategy stability.
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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_int_1|14|(?●═════ 2/20 EMA ═════●)Length|
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|v_input_float_1|10|(?●═════ Bear Power ═════●)SellLevel|
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|v_input_float_2|true|BuyLevel|
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|v_input_bool_1|false|(?●═════ MISC ═════●)Trade reverse|
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|v_input_int_2|true|(?●═════ Time Start ═════●)From Day|
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|v_input_int_3|true|From Month|
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|v_input_int_4|2005|From Year|
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> Source (PineScript)
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``` pinescript
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/*backtest
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start: 2023-10-09 00:00:00
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end: 2023-10-16 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=5
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////////////////////////////////////////////////////////////
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// Copyright by HPotter v1.0 19/04/2022
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// This is combo strategies for get a cumulative signal.
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//
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// First strategy
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// This indicator plots 2/20 exponential moving average. For the Mov
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// Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
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//
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// Second strategy
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// Bear Power Indicator
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// To get more information please see "Bull And Bear Balance Indicator"
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// by Vadim Gimelfarb.
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//
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//
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// WARNING:
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// - For purpose educate only
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// - This script to change bars colors.
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////////////////////////////////////////////////////////////
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EMA20(Length) =>
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pos = 0.0
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xPrice = close
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xXA = ta.ema(xPrice, Length)
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nHH = math.max(high, high[1])
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nLL = math.min(low, low[1])
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nXS = nLL > xXA or nHH < xXA ? nLL : nHH
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iff_1 = nXS < close[1] ? 1 : nz(pos[1], 0)
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pos := nXS > close[1] ? -1 : iff_1
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pos
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BP(SellLevel,BuyLevel) =>
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pos = 0.0
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value = close < open ?
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close[1] > open ? math.max(close - open, high - low): high - low:
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close > open ?
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close[1] > open ? math.max(close[1] - low, high - close): math.max(open - low, high - close):
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high - close > close - low ?
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close[1] > open ? math.max(close[1] - open, high - low) : high - low :
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high - close < close - low ?
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close > open ? math.max(close - low, high - close) : open - low :
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close > open ? math.max(close[1] - open, high - close) :
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close[1] < open ? math.max(open - low, high - close) : high - low
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pos := value > SellLevel ? -1 :
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value <= BuyLevel ? 1 :nz(pos[1], 0)
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pos
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strategy(title='Combo 2/20 EMA & Bear Power', shorttitle='Combo', overlay=true)
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var I1 = '●═════ 2/20 EMA ═════●'
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Length = input.int(14, minval=1, group=I1)
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var I2 = '●═════ Bear Power ═════●'
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SellLevel = input.float(10, step=0.01, group=I2)
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BuyLevel = input.float(1, step=0.01, group=I2)
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var misc = '●═════ MISC ═════●'
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reverse = input.bool(false, title='Trade reverse', group=misc)
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var timePeriodHeader = '●═════ Time Start ═════●'
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d = input.int(1, title='From Day', minval=1, maxval=31, group=timePeriodHeader)
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m = input.int(1, title='From Month', minval=1, maxval=12, group=timePeriodHeader)
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y = input.int(2005, title='From Year', minval=0, group=timePeriodHeader)
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StartTrade = time > timestamp(y, m, d, 00, 00) ? true : false
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posEMA20 = EMA20(Length)
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prePosBP = BP(SellLevel,BuyLevel)
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iff_1 = posEMA20 == -1 and prePosBP == -1 and StartTrade ? -1 : 0
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pos = posEMA20 == 1 and prePosBP == 1 and StartTrade ? 1 : iff_1
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iff_2 = reverse and pos == -1 ? 1 : pos
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possig = reverse and pos == 1 ? -1 : iff_2
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if possig == 1
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strategy.entry('Long', strategy.long)
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if possig == -1
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strategy.entry('Short', strategy.short)
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if possig == 0
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strategy.close_all()
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barcolor(possig == -1 ? #b50404 : possig == 1 ? #079605 : #0536b3)
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```
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> Detail
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https://www.fmz.com/strategy/429466
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> Last Modified
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2023-10-17 14:00:41
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