MACD背离可以用来作为交易策略吗？具体该怎么使用？

MACD交易策略

MACD交易策略的特点是非常容易上手。半木夏（半神）曾通过此策略用1万块赚到了400万的盈利。

该交易系统适用于加密货币、股市、外汇、期货等具有良好交易深度和大量交易者参与的投机市场。

关于MACD

MACD指标是用来判断趋势“强度"变化的，不是直接用来判断“趋势“的。MACD的背离说明“强度"发生了变化。"强度"的连续变化，累积后会逐步导致趋势的变化，也就是指标的连续背离，是量变引发质变的过程。

TradingView中添加指标

这里我们添加三个指标，分别是MACD、背离识别、ATR止损。

1. TradingView中添加MACD

这里需要注意，我的脚本中快线和慢线的周期都替换成斐波那契数值，分别是13和34。并且关闭了MACD线和信号线的显示。这里主要用直方图来看趋势的强度

MACD - Pine脚本

//@version=5
indicator(title="Moving Average Convergence Divergence", shorttitle="MACD", timeframe="", timeframe_gaps=true)
// Getting inputs
fast_length = input(title = "Fast Length", defval =  13)
slow_length = input(title = "Slow Length", defval = 34)
src = input(title = "Source", defval = close)
signal_length = input.int(title = "Signal Smoothing",  minval = 1, maxval = 50, defval = 9, display = display.data_window)
sma_source = input.string(title = "Oscillator MA Type",  defval = "EMA", options = ["SMA", "EMA"], display = display.data_window)
sma_signal = input.string(title = "Signal Line MA Type", defval = "EMA", options = ["SMA", "EMA"], display = display.data_window)

// Calculating
fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist = macd - signal

alertcondition(hist[1] >= 0 and hist < 0, title = 'Rising to falling', message = 'The MACD histogram switched from a rising to falling state')
alertcondition(hist[1] <= 0 and hist > 0, title = 'Falling to rising', message = 'The MACD histogram switched from a falling to rising state')

hline(0, "Zero Line", color = color.new(#787B86, 50))
plot(hist, title = "Histogram", style = plot.style_columns, color = (hist >= 0 ? (hist[1] < hist ? #26A69A : #B2DFDB) : (hist[1] < hist ? #FFCDD2 : #FF5252)))
// plot(macd,   title = "MACD",   color = #2962FF)
// plot(signal, title = "Signal", color = #FF6D00)

2. 添加识别背离的指标

背离指标 - Pine脚本

//@version=4
study("Divergence for Many Indicators v4", overlay = true, max_bars_back = 1000, max_lines_count = 400, max_labels_count = 400)
prd = input(defval = 5, title = "Pivot Period", minval = 1, maxval = 50)
source = input(defval = "Close", title = "Source for Pivot Points", options = ["Close", "High/Low"])
searchdiv = input(defval = "Regular", title = "Divergence Type", options = ["Regular", "Hidden", "Regular/Hidden"])
showindis = input(defval = "Full", title = "Show Indicator Names", options = ["Full", "First Letter", "Don't Show"])
showlimit = input(1, title="Minimum Number of Divergence", minval = 1, maxval = 11)
maxpp = input(defval = 10, title = "Maximum Pivot Points to Check", minval = 1, maxval = 20)
maxbars = input(defval = 100, title = "Maximum Bars to Check", minval = 30, maxval = 200)
shownum = input(defval = true, title = "Show Divergence Number")
showlast = input(defval = false, title = "Show Only Last Divergence")
dontconfirm = input(defval = false, title = "Don't Wait for Confirmation")
showlines = input(defval = true, title = "Show Divergence Lines")
showpivot = input(defval = false, title = "Show Pivot Points")
calcmacd = input(defval = true, title = "MACD")
calcmacda = input(defval = true, title = "MACD Histogram")
calcrsi = input(defval = true, title = "RSI")
calcstoc = input(defval = true, title = "Stochastic")
calccci = input(defval = true, title = "CCI")
calcmom = input(defval = true, title = "Momentum")
calcobv = input(defval = true, title = "OBV")
calcvwmacd = input(true, title = "VWmacd")
calccmf = input(true, title = "Chaikin Money Flow")
calcmfi = input(true, title = "Money Flow Index")
calcext = input(false, title = "Check External Indicator")
externalindi = input(defval = close, title = "External Indicator")
pos_reg_div_col = input(defval = color.yellow, title = "Positive Regular Divergence")
neg_reg_div_col = input(defval = color.navy, title = "Negative Regular Divergence")
pos_hid_div_col = input(defval = color.lime, title = "Positive Hidden Divergence")
neg_hid_div_col = input(defval = color.red, title = "Negative Hidden Divergence")
pos_div_text_col = input(defval = color.black, title = "Positive Divergence Text Color")
neg_div_text_col = input(defval = color.white, title = "Negative Divergence Text Color")
reg_div_l_style_ = input(defval = "Solid", title = "Regular Divergence Line Style", options = ["Solid", "Dashed", "Dotted"])
hid_div_l_style_ = input(defval = "Dashed", title = "Hdden Divergence Line Style", options = ["Solid", "Dashed", "Dotted"])
reg_div_l_width = input(defval = 2, title = "Regular Divergence Line Width", minval = 1, maxval = 5)
hid_div_l_width = input(defval = 1, title = "Hidden Divergence Line Width", minval = 1, maxval = 5)
showmas = input(defval = false, title = "Show MAs 50 & 200", inline = "ma12")
cma1col = input(defval = color.lime, title = "", inline = "ma12")
cma2col = input(defval = color.red, title = "", inline = "ma12")

plot(showmas ? sma(close, 50) : na, color = showmas ? cma1col : na)
plot(showmas ? sma(close, 200) : na, color = showmas ? cma2col: na)

// set line styles
var reg_div_l_style = reg_div_l_style_ == "Solid" ? line.style_solid : 
                       reg_div_l_style_ == "Dashed" ? line.style_dashed :
                       line.style_dotted
var hid_div_l_style = hid_div_l_style_ == "Solid" ? line.style_solid : 
                       hid_div_l_style_ == "Dashed" ? line.style_dashed :
                       line.style_dotted


// get indicators
rsi = rsi(close, 14) // RSI
[macd, signal, deltamacd] = macd(close, 12, 26, 9) // MACD
moment = mom(close, 10) // Momentum
cci = cci(close, 10) // CCI
Obv = obv // OBV
stk = sma(stoch(close, high, low, 14), 3) // Stoch
maFast = vwma(close, 12), maSlow = vwma(close, 26), vwmacd = maFast - maSlow // volume weighted macd
Cmfm = ((close-low) - (high-close)) / (high - low), Cmfv = Cmfm * volume, cmf = sma(Cmfv, 21) / sma(volume,21) // Chaikin money flow
Mfi = mfi(close, 14) // Moneyt Flow Index

// keep indicators names and colors in arrays
var indicators_name = array.new_string(11)
var div_colors = array.new_color(4)
if barstate.isfirst
    // names
    array.set(indicators_name, 0, showindis == "Full" ? "MACD" : "M")
    array.set(indicators_name, 1, showindis == "Full" ? "Hist" : "H")
    array.set(indicators_name, 2, showindis == "Full" ? "RSI" : "E")
    array.set(indicators_name, 3, showindis == "Full" ? "Stoch" : "S")
    array.set(indicators_name, 4, showindis == "Full" ? "CCI" : "C")
    array.set(indicators_name, 5, showindis == "Full" ? "MOM" : "M")
    array.set(indicators_name, 6, showindis == "Full" ? "OBV" : "O")
    array.set(indicators_name, 7, showindis == "Full" ? "VWMACD" : "V")
    array.set(indicators_name, 8, showindis == "Full" ? "CMF" : "C")
    array.set(indicators_name, 9, showindis == "Full" ? "MFI" : "M")
    array.set(indicators_name,10, showindis == "Full" ? "Extrn" : "X")
    //colors
    array.set(div_colors, 0, pos_reg_div_col)
    array.set(div_colors, 1, neg_reg_div_col)
    array.set(div_colors, 2, pos_hid_div_col)
    array.set(div_colors, 3, neg_hid_div_col)

// Check if we get new Pivot High Or Pivot Low
float ph = pivothigh((source == "Close" ? close : high), prd, prd)
float pl = pivotlow((source == "Close" ? close : low), prd, prd)
plotshape(ph and showpivot, text = "H",  style = shape.labeldown, color = color.new(color.white, 100), textcolor = color.red, location = location.abovebar, offset = -prd)
plotshape(pl and showpivot, text = "L",  style = shape.labelup, color = color.new(color.white, 100), textcolor = color.lime, location = location.belowbar, offset = -prd)

// keep values and positions of Pivot Highs/Lows in the arrays
var int maxarraysize = 20
var ph_positions = array.new_int(maxarraysize, 0)
var pl_positions = array.new_int(maxarraysize, 0)
var ph_vals = array.new_float(maxarraysize, 0.)
var pl_vals = array.new_float(maxarraysize, 0.)

// add PHs to the array
if ph
    array.unshift(ph_positions, bar_index)
    array.unshift(ph_vals, ph)
    if array.size(ph_positions) > maxarraysize
        array.pop(ph_positions)
        array.pop(ph_vals)

// add PLs to the array
if pl
    array.unshift(pl_positions, bar_index)
    array.unshift(pl_vals, pl)
    if array.size(pl_positions) > maxarraysize
        array.pop(pl_positions)
        array.pop(pl_vals)

// functions to check Regular Divergences and Hidden Divergences

// function to check positive regular or negative hidden divergence
// cond == 1 => positive_regular, cond == 2=> negative_hidden
positive_regular_positive_hidden_divergence(src, cond)=>
    divlen = 0
    prsc = source == "Close" ? close : low
    // if indicators higher than last value and close price is higher than las close 
    if dontconfirm or src > src[1] or close > close[1]
        startpoint = dontconfirm ? 0 : 1 // don't check last candle
        // we search last 15 PPs
        for x = 0 to maxpp - 1
            len = bar_index - array.get(pl_positions, x) + prd
            // if we reach non valued array element or arrived 101. or previous bars then we don't search more
            if array.get(pl_positions, x) == 0 or len > maxbars
                break
            if len > 5 and 
               ((cond == 1 and src[startpoint] > src[len] and prsc[startpoint] < nz(array.get(pl_vals, x))) or
               (cond == 2 and src[startpoint] < src[len] and prsc[startpoint] > nz(array.get(pl_vals, x))))
                slope1 = (src[startpoint] - src[len]) / (len - startpoint)
                virtual_line1 = src[startpoint] - slope1
                slope2 = (close[startpoint] - close[len]) / (len - startpoint)
                virtual_line2 = close[startpoint] - slope2
                arrived = true
                for y = 1 + startpoint to len - 1
                    if src[y] < virtual_line1 or nz(close[y]) < virtual_line2
                        arrived := false
                        break
                    virtual_line1 := virtual_line1 - slope1
                    virtual_line2 := virtual_line2 - slope2
                
                if arrived
                    divlen := len
                    break
    divlen

// function to check negative regular or positive hidden divergence
// cond == 1 => negative_regular, cond == 2=> positive_hidden
negative_regular_negative_hidden_divergence(src, cond)=>
    divlen = 0
    prsc = source == "Close" ? close : high
    // if indicators higher than last value and close price is higher than las close 
    if dontconfirm or src < src[1] or close < close[1]
        startpoint = dontconfirm ? 0 : 1 // don't check last candle
        // we search last 15 PPs
        for x = 0 to maxpp - 1
            len = bar_index - array.get(ph_positions, x) + prd
            // if we reach non valued array element or arrived 101. or previous bars then we don't search more
            if array.get(ph_positions, x) == 0 or len > maxbars
                break
            if len > 5 and 
               ((cond == 1 and src[startpoint] < src[len] and prsc[startpoint] > nz(array.get(ph_vals, x))) or 
               (cond == 2 and src[startpoint] > src[len] and prsc[startpoint] < nz(array.get(ph_vals, x))))
                slope1 = (src[startpoint] - src[len]) / (len - startpoint)
                virtual_line1 = src[startpoint] - slope1
                slope2 = (close[startpoint] - nz(close[len])) / (len - startpoint)
                virtual_line2 = close[startpoint] - slope2
                arrived = true
                for y = 1 + startpoint to len - 1
                    if src[y] > virtual_line1 or nz(close[y]) > virtual_line2
                        arrived := false
                        break
                    virtual_line1 := virtual_line1 - slope1
                    virtual_line2 := virtual_line2 - slope2
                
                if arrived
                    divlen := len
                    break
    divlen

// calculate 4 types of divergence if enabled in the options and return divergences in an array
calculate_divs(cond, indicator)=>
    divs = array.new_int(4, 0)
    array.set(divs, 0, cond and (searchdiv == "Regular" or searchdiv == "Regular/Hidden") ? positive_regular_positive_hidden_divergence(indicator, 1) : 0)
    array.set(divs, 1, cond and (searchdiv == "Regular" or searchdiv == "Regular/Hidden") ? negative_regular_negative_hidden_divergence(indicator, 1) : 0)
    array.set(divs, 2, cond and (searchdiv == "Hidden" or searchdiv == "Regular/Hidden")  ? positive_regular_positive_hidden_divergence(indicator, 2) : 0)
    array.set(divs, 3, cond and (searchdiv == "Hidden" or searchdiv == "Regular/Hidden")  ? negative_regular_negative_hidden_divergence(indicator, 2) : 0)
    divs

// array to keep all divergences
var all_divergences = array.new_int(44) // 11 indicators * 4 divergence = 44 elements
// set related array elements
array_set_divs(div_pointer, index)=>
    for x = 0 to 3
        array.set(all_divergences, index * 4 + x, array.get(div_pointer, x))

// set divergences array 
array_set_divs(calculate_divs(calcmacd, macd), 0)
array_set_divs(calculate_divs(calcmacda, deltamacd), 1)
array_set_divs(calculate_divs(calcrsi, rsi), 2)
array_set_divs(calculate_divs(calcstoc, stk), 3)
array_set_divs(calculate_divs(calccci, cci), 4)
array_set_divs(calculate_divs(calcmom, moment), 5)
array_set_divs(calculate_divs(calcobv, Obv), 6)
array_set_divs(calculate_divs(calcvwmacd, vwmacd), 7)
array_set_divs(calculate_divs(calccmf, cmf), 8)
array_set_divs(calculate_divs(calcmfi, Mfi), 9)
array_set_divs(calculate_divs(calcext, externalindi), 10)

// check minimum number of divergence, if less than showlimit then delete all divergence
total_div = 0
for x = 0 to array.size(all_divergences) - 1
    total_div := total_div + round(sign(array.get(all_divergences, x)))

if total_div < showlimit
    array.fill(all_divergences, 0)

// keep line in an array
var pos_div_lines = array.new_line(0)
var neg_div_lines = array.new_line(0)
var pos_div_labels = array.new_label(0)
var neg_div_labels = array.new_label(0) 

// remove old lines and labels if showlast option is enabled
delete_old_pos_div_lines()=>
    if array.size(pos_div_lines) > 0    
        for j = 0 to array.size(pos_div_lines) - 1 
            line.delete(array.get(pos_div_lines, j))
        array.clear(pos_div_lines)

delete_old_neg_div_lines()=>
    if array.size(neg_div_lines) > 0    
        for j = 0 to array.size(neg_div_lines) - 1 
            line.delete(array.get(neg_div_lines, j))
        array.clear(neg_div_lines)

delete_old_pos_div_labels()=>
    if array.size(pos_div_labels) > 0 
        for j = 0 to array.size(pos_div_labels) - 1 
            label.delete(array.get(pos_div_labels, j))
        array.clear(pos_div_labels)

delete_old_neg_div_labels()=>
    if array.size(neg_div_labels) > 0    
        for j = 0 to array.size(neg_div_labels) - 1 
            label.delete(array.get(neg_div_labels, j))
        array.clear(neg_div_labels)

// delete last creted lines and labels until we met new PH/PV 
delete_last_pos_div_lines_label(n)=>
    if n > 0 and array.size(pos_div_lines) >= n    
        asz = array.size(pos_div_lines)
        for j = 1 to n
            line.delete(array.get(pos_div_lines, asz - j))
            array.pop(pos_div_lines)
        if array.size(pos_div_labels) > 0  
            label.delete(array.get(pos_div_labels, array.size(pos_div_labels) - 1))
            array.pop(pos_div_labels)

delete_last_neg_div_lines_label(n)=>
    if n > 0 and array.size(neg_div_lines) >= n    
        asz = array.size(neg_div_lines)
        for j = 1 to n
            line.delete(array.get(neg_div_lines, asz - j))
            array.pop(neg_div_lines)
        if array.size(neg_div_labels) > 0  
            label.delete(array.get(neg_div_labels, array.size(neg_div_labels) - 1))
            array.pop(neg_div_labels)
            
// variables for Alerts
pos_reg_div_detected = false
neg_reg_div_detected = false
pos_hid_div_detected = false
neg_hid_div_detected = false

// to remove lines/labels until we met new // PH/PL
var last_pos_div_lines = 0
var last_neg_div_lines = 0
var remove_last_pos_divs = false 
var remove_last_neg_divs = false
if pl
    remove_last_pos_divs := false
    last_pos_div_lines := 0
if ph
    remove_last_neg_divs := false
    last_neg_div_lines := 0

// draw divergences lines and labels
divergence_text_top = ""
divergence_text_bottom = ""
distances = array.new_int(0)
dnumdiv_top = 0
dnumdiv_bottom = 0
top_label_col = color.white
bottom_label_col = color.white
old_pos_divs_can_be_removed = true
old_neg_divs_can_be_removed = true
startpoint = dontconfirm ? 0 : 1 // used for don't confirm option

for x = 0 to 10
    div_type = -1
    for y = 0 to 3
        if array.get(all_divergences, x * 4 + y) > 0 // any divergence?
            div_type := y
            if (y % 2) == 1 
                dnumdiv_top := dnumdiv_top + 1
                top_label_col := array.get(div_colors, y)
            if (y % 2) == 0
                dnumdiv_bottom := dnumdiv_bottom + 1
                bottom_label_col := array.get(div_colors, y)
            if not array.includes(distances, array.get(all_divergences, x * 4 + y))  // line not exist ?
                array.push(distances, array.get(all_divergences, x * 4 + y))
                new_line = showlines ? line.new(x1 = bar_index - array.get(all_divergences, x * 4 + y), 
                          y1 = (source == "Close" ? close[array.get(all_divergences, x * 4 + y)] : 
                                           (y % 2) == 0 ? low[array.get(all_divergences, x * 4 + y)] : 
                                                          high[array.get(all_divergences, x * 4 + y)]),
                          x2 = bar_index - startpoint,
                          y2 = (source == "Close" ? close[startpoint] : 
                                           (y % 2) == 0 ? low[startpoint] : 
                                                          high[startpoint]),
                          color = array.get(div_colors, y),
                          style = y < 2 ? reg_div_l_style : hid_div_l_style,
                          width = y < 2 ? reg_div_l_width : hid_div_l_width
                          )
                          : na
                if (y % 2) == 0
                    if old_pos_divs_can_be_removed
                        old_pos_divs_can_be_removed := false
                        if not showlast and remove_last_pos_divs
                            delete_last_pos_div_lines_label(last_pos_div_lines)
                            last_pos_div_lines := 0
                        if showlast
                            delete_old_pos_div_lines()
                    array.push(pos_div_lines, new_line)
                    last_pos_div_lines := last_pos_div_lines + 1
                    remove_last_pos_divs := true
                    
                if (y % 2) == 1
                    if old_neg_divs_can_be_removed
                        old_neg_divs_can_be_removed := false
                        if not showlast and remove_last_neg_divs
                            delete_last_neg_div_lines_label(last_neg_div_lines)
                            last_neg_div_lines := 0
                        if showlast
                            delete_old_neg_div_lines()
                    array.push(neg_div_lines, new_line)
                    last_neg_div_lines := last_neg_div_lines + 1
                    remove_last_neg_divs := true
                    
            // set variables for alerts
            if y == 0
                pos_reg_div_detected := true
            if y == 1
                neg_reg_div_detected := true
            if y == 2
                pos_hid_div_detected := true
            if y == 3
                neg_hid_div_detected := true
    // get text for labels
    if div_type >= 0
        divergence_text_top    := divergence_text_top    + ((div_type % 2) == 1 ? (showindis != "Don't Show" ? array.get(indicators_name, x) + "\n" : "") : "")
        divergence_text_bottom := divergence_text_bottom + ((div_type % 2) == 0 ? (showindis != "Don't Show" ? array.get(indicators_name, x) + "\n" : "") : "")


// draw labels
if showindis != "Don't Show" or shownum
    if shownum and dnumdiv_top > 0
        divergence_text_top := divergence_text_top + tostring(dnumdiv_top)
    if shownum and dnumdiv_bottom > 0
        divergence_text_bottom := divergence_text_bottom + tostring(dnumdiv_bottom)
    if divergence_text_top != ""
        if showlast
            delete_old_neg_div_labels()
        array.push(neg_div_labels, 
                      label.new( x = bar_index, 
                                 y = max(high, high[1]), 
                                 text = divergence_text_top,
                                 color = top_label_col,
                                 textcolor = neg_div_text_col,
                                 style = label.style_label_down
                                 ))
                                 
    if divergence_text_bottom != ""
        if showlast
            delete_old_pos_div_labels()
        array.push(pos_div_labels, 
                      label.new( x = bar_index, 
                                 y = min(low, low[1]), 
                                 text = divergence_text_bottom,
                                 color = bottom_label_col, 
                                 textcolor = pos_div_text_col,
                                 style = label.style_label_up
                                 ))
                                 
    
alertcondition(pos_reg_div_detected, title='Positive Regular Divergence Detected', message='Positive Regular Divergence Detected')
alertcondition(neg_reg_div_detected, title='Negative Regular Divergence Detected', message='Negative Regular Divergence Detected')
alertcondition(pos_hid_div_detected, title='Positive Hidden Divergence Detected', message='Positive Hidden Divergence Detected')
alertcondition(neg_hid_div_detected, title='Negative Hidden Divergence Detected', message='Negative Hidden Divergence Detected')

alertcondition(pos_reg_div_detected or pos_hid_div_detected, title='Positive Divergence Detected', message='Positive Divergence Detected')
alertcondition(neg_reg_div_detected or neg_hid_div_detected, title='Negative Divergence Detected', message='Negative Divergence Detected')

黄线标识出底背离，紫线标识出顶背离

3. 添加ATR自动止损指标

ATR 止损 - Pine脚本

//@version=4
study(title="Average True Range Stop Loss Finder", shorttitle="ATR", overlay=true)
length = input(title="Length", defval=14, minval=1)
smoothing = input(title="Smoothing", defval="RMA", options=["RMA", "SMA", "EMA", "WMA"])
m = input(1.5, "Multiplier")
src1 = input(high)
src2 = input(low)
pline = input(true, "Show Price Lines")
col1 = input(color.blue, "ATR Text Color")
col2 = input(color.teal, "Low Text Color",inline ="1")
col3 = input(color.red, "High Text Color",inline ="2")

collong = input(color.teal, "Low Line Color",inline ="1")
colshort = input(color.red, "High Line Color",inline ="2")

ma_function(source, length) =>
	if smoothing == "RMA"
		rma(source, length)
	else
		if smoothing == "SMA"
			sma(source, length)
		else
			if smoothing == "EMA"
				ema(source, length)
			else
				wma(source, length)
				
a = ma_function(tr(true), length) * m
x = ma_function(tr(true), length) * m + src1
x2 = src2 - ma_function(tr(true), length) * m

p1 = plot(x, title = "ATR Short Stop Loss", color= colshort, transp=20, trackprice = pline ? true : false)
p2 = plot(x2, title = "ATR Long Stop Loss", color= collong, transp=20, trackprice = pline ? true : false)

var table Table = table.new(position.bottom_center, 3, 1, border_width = 3)    

f_fillCell(_table, _column, _row, _value, _timeframe) =>

	_cellText = _timeframe+ tostring(_value, "#.#")
    table.cell(_table, _column, _row, _cellText, text_color = col1)
    table.cell_set_text_color(Table, 1, 0, color.new(col3, transp = 0))
    table.cell_set_text_color(Table, 2, 0, color.new(col2, transp = 0))
    
if barstate.islast
    f_fillCell(Table, 0, 0, a, "ATR: " )
    f_fillCell(Table, 1, 0, x, "H: " )
    f_fillCell(Table, 2, 0, x2, "L: " )

图表中，K线上下分别多了一条红色和绿色的止损线，这两条现代表我们进场价格的最高（低）点加上（减去）ATR的数值。以此作为我们的止损点位。

💡

ATR指标 真实平均波动区间（Average True Range）是一个用来衡量价格波动性的指标，由威尔德（Wilder）所发明，Wilder也是RSI指标的发明者。其与布林通道和ADX两个指标不同的是，由于在它的计算过程中加入了跳空等因素，因此它能够更加真实地反映出价格的波动情况，也正因如此，它被称为“真实”波动区间。

交易法则

此策略并非100%有效，但是能提供一个交易思路。

做多

同时满足下面三个条件:

K线低点连续创新低

MACD柱状图连续底背离:零轴下方的红色柱状图波峰连续创新高

关键K线:

MACD深色柱子转成浅色的第一根柱子所对应的K线

止损

多单的止损设置在关键K线的低点，再减去ATR的数值。这实际上就是我们的自动止损工具所提供的那条线的位置和价格。

止盈

止盈方面，我们采用固定盈亏比和右侧止盈相结合的策略。比如，我们可以在1:1.5的盈亏比位置止盈一半仓位，另一半仓位则采用右侧止盈，以博取更高的利润。。

做空:

同时满足下面三个条件:

K线高点连续创新高

MACD柱状图连续顶背离，零轴上方的绿色柱状图波峰连续创新低

关键K线: MACD深色柱子转成浅色的第一根柱子所对应的K线

止损

关键K线高点+ATR

止盈

止盈方面，我们采用固定盈亏比和右侧止盈相结合的策略。比如，我们可以在1:1.5的盈亏比位置止盈一半仓位，另一半仓位则采用右侧止盈，以博取更高的利润。

提高胜率的补充建议

相邻波峰高度差异最好在30%以上。当然，高度差异越大越好。如果出现连续两次或三次这样的背离机会，趋势反转的可能性就更大。因此，对于出现明显背离但规律性不好的情况，我们可以主动过滤掉，这样可能会提高我们的胜率。

3，多策略结合：建议你先进行大量广泛的复盘，总结出更多规律。然后，将多种策略结合起来，可以提高胜率和盈利能力。

离策略本质上是一个顺应趋势的交易系统。我们在价格不断创新高的过程中捕捉做空机会，在价格不断创新低的过程中捕捉做多机会。这与大多数顺趋势交易系统有所不同。因此，我们必须严格遵守进场和止损条件。