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1)
study("Cumulative Delta Volume", "CDV")
linestyle = input(defval = 'Candle', title = "Style", options = ['Candle', 'Line'])
hacandle = input(defval = true, title = "Heikin Ashi Candles?")
showma1 = input(defval = false, title = "SMA 1", inline = "ma1")
ma1len = input(defval = 50, title = "", minval = 1, inline = "ma1")
ma1col = input(defval = color.lime, title = "", inline = "ma1")
showma2 = input(defval = false, title = "SMA 2", inline = "ma2")
ma2len = input(defval = 200, title = "", minval = 1, inline = "ma2")
ma2col = input(defval = color.red, title = "", inline = "ma2")
showema1 = input(defval = false, title = "EMA 1", inline = "ema1")
ema1len = input(defval = 50, title = "", minval = 1, inline = "ema1")
ema1col = input(defval = color.lime, title = "", inline = "ema1")
showema2 = input(defval = false, title = "EMA 2", inline = "ema2")
ema2len = input(defval = 200, title = "", minval = 1, inline = "ema2")
ema2col = input(defval = color.red, title = "", inline = "ema2")
colorup = input(defval = color.lime, title = "Body", inline = "bcol")
colordown = input(defval = color.red, title = "", inline = "bcol")
bcolup = input(defval = #74e05e, title = "Border", inline = "bocol")
bcoldown = input(defval = #ffad7d, title = "", inline = "bocol")
wcolup = input(defval = #b5b5b8, title = "Wicks", inline = "wcol")
wcoldown = input(defval = #b5b5b8, title = "", inline = "wcol")
tw = high - max(open, close)
bw = min(open, close) - low
body = abs(close - open)
_rate(cond) =>
ret = 0.5 * (tw + bw + (cond ? 2 * body : 0)) / (tw + bw + body)
ret := nz(ret) == 0 ? 0.5 : ret
ret
deltaup = volume * _rate(open <= close)
deltadown = volume * _rate(open > close)
delta = close >= open ? deltaup : -deltadown
cumdelta = cum(delta)
float ctl = na
float o = na
float h = na
float l = na
float c = na
if linestyle == 'Candle'
o := cumdelta[1]
h := max(cumdelta, cumdelta[1])
l := min(cumdelta, cumdelta[1])
c := cumdelta
ctl
else
ctl := cumdelta
plot(ctl, title = "CDV Line", color = color.blue, linewidth = 2)
float haclose = na
float haopen = na
float hahigh = na
float halow = na
haclose := (o + h + l + c) / 4
haopen := na(haopen[1]) ? (o + c) / 2 : (haopen[1] + haclose[1]) / 2
hahigh := max(h, max(haopen, haclose))
halow := min(l, min(haopen, haclose))
c_ = hacandle ? haclose : c
o_ = hacandle ? haopen : o
h_ = hacandle ? hahigh : h
l_ = hacandle ? halow : l
plotcandle(o_, h_, l_, c_, title='CDV Candles', color = o_ <= c_ ? colorup : colordown, bordercolor = o_ <= c_ ? bcolup : bcoldown, wickcolor = o_ <= c_ ? bcolup : bcoldown)
plot(showma1 and linestyle == "Candle" ? sma(c_, ma1len) : na, title = "SMA 1", color = ma1col)
plot(showma2 and linestyle == "Candle" ? sma(c_, ma2len) : na, title = "SMA 2", color = ma2col)
plot(showema1 and linestyle == "Candle" ? ema(c_, ema1len) : na, title = "EMA 1", color = ema1col)
plot(showema2 and linestyle == "Candle" ? ema(c_, ema2len) : na, title = "EMA 2", color = ema2col)
2)
indicator(title='HA Market Bias', shorttitle='HA Market Bias', overlay=true)
tf(_res, _exp, gaps_on) =>
gaps_on == 0 ? request.security(syminfo.tickerid, _res, _exp) : gaps_on == true ? request.security(syminfo.tickerid, _res, _exp, barmerge.gaps_on, barmerge.lookahead_off) : request.security(syminfo.tickerid, _res, _exp, barmerge.gaps_off, barmerge.lookahead_off)
ha_htf = ''
show_ha = input.bool(true, "Show HA Plot/ Market Bias", group="HA Market Bias")
ha_len = input(100, 'Period', group="HA Market Bias")
ha_len2 = input(100, 'Smoothing', group="HA Market Bias")
// Calculations {
o = ta.ema(open, ha_len)
c = ta.ema(close, ha_len)
h = ta.ema(high, ha_len)
l = ta.ema(low, ha_len)
haclose = tf(ha_htf, (o + h + l + c) / 4, 0)
xhaopen = tf(ha_htf, (o + c) / 2, 0)
haopen = na(xhaopen[1]) ? (o + c) / 2 : (xhaopen[1] + haclose[1]) / 2
hahigh = math.max(h, math.max(haopen, haclose))
halow = math.min(l, math.min(haopen, haclose))
o2 = tf(ha_htf, ta.ema(haopen, ha_len2), 0)
c2 = tf(ha_htf, ta.ema(haclose, ha_len2), 0)
h2 = tf(ha_htf, ta.ema(hahigh, ha_len2), 0)
l2 = tf(ha_htf, ta.ema(halow, ha_len2), 0)
ha_avg = (h2 + l2) / 2
// }
// Oscillator {
osc_len = input.int(7, "Oscillator Period", group="HA Market Bias")
osc_bias = 100 *(c2 - o2)
osc_smooth = ta.ema(osc_bias, osc_len)
sigcolor =
(osc_bias > 0) and (osc_bias >= osc_smooth) ? color.new(color.lime, 35) :
(osc_bias > 0) and (osc_bias < osc_smooth) ? color.new(color.lime, 75) :
(osc_bias < 0) and (osc_bias <= osc_smooth) ? color.new(color.red, 35) :
(osc_bias < 0) and (osc_bias > osc_smooth) ? color.new(color.red, 75) :
na
// }
// Plots {
p_h = plot(h2, "Bias High", color=color(na), display=display.none, editable=false)
p_l = plot(l2, "Bias Low", color=color(na), display=display.none, editable=false)
p_avg = plot(ha_avg, "Bias Avergae", color=color(na), display=display.none, editable=false)
fill(p_l, p_h, show_ha ? sigcolor : na)
col = o2 > c2 ? color.red : color.lime
plotcandle(show_ha ? o2 : na, h2, l2, c2, title='heikin smoothed', color=col)
// }
2023-09-10
1395
글번호 172312
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