strategies/基于直方图破裂的交易策略Fundamental-Pinbar-Trading-Strategy.md

Name

基于直方图破裂的交易策略Fundamental-Pinbar-Trading-Strategy

Author

ChaoZhang

Strategy Description

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概述

该策略利用直方图破裂原理,结合移动平均线的趋势判断,实现在趋势方向上的突破交易。当价格突破直方图边界时产生交易信号。同时,通过判断快速和慢速移动平均线的位置关系来确定整体趋势方向,避免在盘整中产生错误信号。

策略原理

1. 计算快速移动平均线(20周期)和慢速移动平均线(50周期)。

2. 根据K线计算出是否形成了上涨的长方体(close>open)或下跌的长方体(close<open)。

3. 判断长方体是否突破了上一个K线的最高价或最低价。如果是上涨长方体并突破上一个K线的最高价,则产生多头突破信号;如果是下跌长方体并突破上一个K线的最低价,则产生空头突破信号。

4. 同时判断快速移动平均线是否在慢速移动平均线之上,如果是,则判断为多头趋势;反之,则判断为空头趋势。

5. 只有当快慢均线判断为多头趋势时,多头突破信号才有效;只有当快慢均线判断为空头趋势时,空头突破信号才有效。这避免了在盘整中产生错误信号。

6. 当产生有效的多头突破信号时,按一定的止损和止盈标准开多单;当产生有效的空头突破信号时,按一定的止损和止盈标准开空单。

7. 如果快速移动平均线和慢速移动平均线发生回叉,则平掉当前的头寸。

优势分析

• 利用直方图边界作为突破口,这代表着较强的突破信号。

• 同时考量趋势方向,避免在盘整中产生错误信号,提高确切率。

• 兼顾趋势和突破,使策略在趋势行情中表现出色。

• 通过参数优化,可以适应不同品种和时间周期。

风险及解决方法

• 突破失败的风险。解决方法是选取较大的突破口,确保突破动能较强。

• 趋势判断不准确的风险。解决方法是调整均线参数,也可以加入其他辅助指标判断趋势。

• 止损设置过小导致止损过频的风险。解决方法是根据不同品种和时间周期动态调整止损幅度。

• 获利空间设置过小的风险。解决方法是根据不同品种和时间周期动态设置不同的盈亏比。

优化方向

• 整体来说,移动均线参数、突破口参数、止损幅度和盈亏比这些参数都需要根据不同的品种和时间周期进行测试和优化,使策略参数量身定制。

• 可以测试不同类型的移动平均线(如EMA、SMA等),寻找更加合适的均线指标。

• 可以加入其他辅助判断指标,如Momentum等,来提高对趋势的判断准确性。

• 可以通过机器学习等方法来动态优化各项参数。

• 可以针对突破的成功率进行统计学习,调整突破口参数。

总结

该策略整合趋势特征和突破特征,在理论上可以过滤掉大量无效信号。关键是要注重参数的测试和优化,使策略量身定制适用于不同品种和时间周期,从而在实际交易中获得较好的效果。此外,辅助指标和机器学习技术也为策略的改进提供了方向。通过不断优化,该策略可以成为一个稳定可靠的趋势突破交易策略。

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Overview

This strategy utilizes the pinbar pattern with trend determination by moving averages to trade breakouts in the direction of the trend. It generates trading signals when price breaks out of the high/low formed by the pinbar candlestick. Additionally, it uses fast and slow moving averages to determine the overall trend direction, avoiding wrong signals during range-bound price action.

Strategy Logic

1. Compute fast (20-period) and slow (50-period) moving averages.

2. Identify bullish (close>open) and bearish (close<open) pinbars based on the candlestick.

3. Check if the pinbar high/low breaks the high/low of the previous candle. A bullish pinbar breaking previous high gives a long signal. A bearish pinbar breaking previous low gives a short signal.

4. Also check if the fast MA is above the slow MA to determine an uptrend, and vice versa for a downtrend.

5. Long signals are only valid when fast/slow MA indicates an uptrend. Short signals are only valid when fast/slow MA indicates a downtrend. This avoids wrong signals during range-bound price action.

6. On valid long signals, go long with predefined stoploss and takeprofit. On valid short signals, go short with predefined stoploss and takeprofit.

7. If the fast MA crosses below the slow MA, close out any existing position.

Advantages

• Uses pinbar high/low as breakout levels representing strong momentum.

• Considers trend direction to avoid wrong signals during range-bound price action, improving accuracy.

• Captures trend and breakouts, performing well in trending markets.

• Parameters can be optimized for different products and timeframes.

Risks and Mitigation

• Failed breakout risk. Can be mitigated by using wider breakout levels and stronger momentum.

• Inaccurate trend identification risk. Can be mitigated by tweaking MA parameters or adding other trend indicators.

• Stoploss too tight leading to premature exit. Can dynamically adjust stoploss based on product and timeframe.

• Takeprofit too tight restricting profits. Can dynamically set profit targets and risk-reward ratios.

Enhancement Opportunities

• Overall, the MA, breakout, stoploss and takeprofit parameters can be optimized across products and timeframes for a tailored strategy.

• Different MAs like EMA, SMA etc. can be tested to find the optimal indicator.

• Additional indicators like Momentum can improve trend accuracy.

• Parameters can be dynamically optimized using machine learning techniques.

• Breakout success rate can be improved through statistical learning.

Summary

This strategy combines trend and momentum for theoretically filtered signals. The key is robust parameter optimization across products and timeframes for good performance. Additionally, auxiliary indicators and machine learning techniques can further improve the strategy. With continuous enhancements, this can become a robust trend-breakout trading system.

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Strategy Arguments

Argument	Default	Description
v_input_1	3	Equity Risk (%)
v_input_2	1.9	Stop Loss (x*ATR, Float)
v_input_3	3.1	Risk : Reward (1 : x*SL, Float)
v_input_4	20	Fast MA (Period)
v_input_5	50	Slow MA (Period)
v_input_6	14	ATR (Period)
v_input_7	true	Use MA Slope (Boolean)
v_input_8	true	Bull Slope Angle (Deg)
v_input_9	-1	Bear Slope Angle (Deg)
v_input_10	true	Exit When MA Re-Cross (Boolean)
v_input_11	3	Cancel Entry After X Bars (Period)

Source (PineScript)

/*backtest
start: 2023-10-15 00:00:00
end: 2023-11-14 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
//Backtested Time Frame: H1
//Default Settings: Are meant to run successfully on all currency pairs to reduce over-fitting.
//Risk Warning: This is a forex trading robot, backtest performance will not equal future performance, USE AT YOUR OWN RISK.
//Code Warning: Although every effort has been made for robustness, this code has not been vetted by independent 3rd parties.
strategy("Pin Bar Strategy v1", overlay=true)

// User Input
usr_risk = input(title="Equity Risk (%)",type=input.integer,minval=1,maxval=100,step=1,defval=3,confirm=false)
atr_mult = input(title="Stop Loss (x*ATR, Float)",type=input.float,minval=0.1,maxval=100,step=0.1,defval=1.9,confirm=false)
trd_rewd = input(title="Risk : Reward (1 : x*SL, Float)",type=input.float,minval=0.1,maxval=100,step=0.1,defval=3.1,confirm=false)
sma_fast = input(title="Fast MA (Period)",type=input.integer,minval=1,maxval=500,step=1,defval=20,confirm=false)
sma_slow = input(title="Slow MA (Period)",type=input.integer,minval=1,maxval=500,step=1,defval=50,confirm=false)
atr_valu = input(title="ATR (Period)",type=input.integer,minval=1,maxval=500,step=1,defval=14,confirm=false)
use_slpe = input(title="Use MA Slope (Boolean)",type=input.bool,defval=true,confirm=false)
slp_long = input(title="Bull Slope Angle (Deg)",type=input.integer,minval=-90,maxval=90,step=1,defval=1,confirm=false)
slp_shrt = input(title="Bear Slope Angle (Deg)",type=input.integer,minval=-90,maxval=90,step=1,defval=-1,confirm=false)
emg_exit = input(title="Exit When MA Re-Cross (Boolean)",type=input.bool,defval=true,confirm=false)
ent_canc = input(title="Cancel Entry After X Bars (Period)",type=input.integer,minval=1,maxval=500,step=1,defval=3,confirm=false)

// Create Indicators
fastSMA = sma(close, sma_fast)
slowSMA = sma(close, sma_slow)
bullishPinBar = ((close > open) and ((open - low) > 0.66 * (high - low))) or ((close < open) and ((close - low) > 0.66 * (high - low)))
bearishPinBar = ((close > open) and ((high - close) > 0.66 * (high - low))) or ((close < open) and ((high - open) > 0.66 * (high - low)))
atr = atr(atr_valu)

// Specify Trend Conditions
smaUpTrend = (fastSMA > slowSMA) and (fastSMA[1] > slowSMA[1]) and (fastSMA[2] > slowSMA[2]) and (fastSMA[3] > slowSMA[3]) and (fastSMA[4] > slowSMA[4])
smaDnTrend = (fastSMA < slowSMA) and (fastSMA[1] < slowSMA[1]) and (fastSMA[2] < slowSMA[2]) and (fastSMA[3] < slowSMA[3]) and (fastSMA[4] < slowSMA[4])
candleUpTrend = (close[5] > fastSMA[5]) and (open[5] > fastSMA[5]) and (close[6] > fastSMA[6]) and (open[6] > fastSMA[6]) and (close[7] > fastSMA[7]) and (open[7] > fastSMA[7]) and (close[8] > fastSMA[8]) and (open[8] > fastSMA[8]) and (close[9] > fastSMA[9]) and (open[9] > fastSMA[9]) and (close[10] > fastSMA[10]) and (open[10] > fastSMA[10])
candleDnTrend = (close[5] < fastSMA[5]) and (open[5] < fastSMA[5]) and (close[6] < fastSMA[6]) and (open[6] < fastSMA[6]) and (close[7] < fastSMA[7]) and (open[7] < fastSMA[7]) and (close[8] < fastSMA[8]) and (open[8] < fastSMA[8]) and (close[9] < fastSMA[9]) and (open[9] < fastSMA[9]) and (close[10] < fastSMA[10]) and (open[10] < fastSMA[10])

// Specify Piercing Conditions
bullPierce = ((low < fastSMA) and (open > fastSMA) and (close > fastSMA)) or ((low < slowSMA) and (open > slowSMA) and (close > slowSMA))
bearPierce = ((high > fastSMA) and (open < fastSMA) and (close < fastSMA)) or ((high > slowSMA) and (open < slowSMA) and (close < slowSMA))

// MA Slope Function
angle(_source) =>
    rad2degree=180/3.14159265359
    ang=rad2degree*atan((_source[0] - _source[1])/atr(atr_valu)) 

// Calculate MA Slope
fastSlope=angle(fastSMA)
slowSlope=angle(slowSMA)
slopingUp = fastSlope > slp_long
slopingDn = fastSlope < slp_shrt
    
// Specify Entry Conditions
longEntry = smaUpTrend and bullishPinBar and bullPierce
shortEntry = smaDnTrend and bearishPinBar and bearPierce
longEntryWithSlope = smaUpTrend and bullishPinBar and bullPierce and slopingUp
shortEntryWithSlope = smaDnTrend and bearishPinBar and bearPierce and slopingDn

// Specify Secondary Exit Conditions
longExit = crossunder(fastSMA, slowSMA)
shortExit = crossover(fastSMA, slowSMA)

// Long Entry Function
enterlong() =>
    risk = usr_risk * 0.01 * strategy.equity
    stopLoss = low[1] - atr[1] * atr_mult
    entryPrice = high[1]
    units = risk / (entryPrice - stopLoss)
    takeProfit = entryPrice + trd_rewd * (entryPrice - stopLoss)
    strategy.entry("long", strategy.long, units, stop=entryPrice)
    strategy.exit("exit long", "long", stop=stopLoss, limit=takeProfit)
    
// Short Entry Function
entershort() =>
    risk = usr_risk * 0.01 * strategy.equity
    stopLoss = high[1] + atr[1] * atr_mult
    entryPrice = low[1]
    units = risk / (stopLoss - entryPrice)
    takeProfit = entryPrice - trd_rewd * (stopLoss - entryPrice)
    strategy.entry("short", strategy.short, units, stop=entryPrice)
    strategy.exit("exit short", "short", stop=stopLoss, limit=takeProfit)
    
// Execute Long Entry w/o Slope
if (longEntry and use_slpe == false)
    enterlong()
    
// Execute Long Entry w/ Slope
if (longEntryWithSlope and use_slpe == true)
    enterlong()

// Exit Long Due to Re-Cross
if(longExit and strategy.position_size > 0 and emg_exit)    
    strategy.order("exit long, re-cross", strategy.short, abs(strategy.position_size))

// Cancel the Long Entry
strategy.cancel("long", barssince(longEntry) > ent_canc)

// Execute Short Entry w/o Slope
if (shortEntry and use_slpe == false)
    entershort() 
    
// Execute Short Entry w/ Slope
if (shortEntryWithSlope and use_slpe == true)
    entershort() 

// Exit Short Due to Re-Cross
if(shortExit and strategy.position_size < 0 and emg_exit)    
    strategy.order("exit short, re-cross", strategy.long, abs(strategy.position_size))

// Cancel the Short Entry
strategy.cancel("short", barssince(shortEntry) > ent_canc)

// Plot Moving Averages to Chart
plot(fastSMA, color=color.red)
plot(slowSMA, color=color.blue)

// Plot Pin Bars to Chart
plotshape(bullishPinBar, style=shape.arrowup, location=location.abovebar, color=#FF0000, text='')
plotshape(bearishPinBar, style=shape.arrowdown, location=location.belowbar, color=#0000FF, text='')

Detail

https://www.fmz.com/strategy/432206

Last Modified

2023-11-15 15:25:57