Kal’s MTF OBV Haar in PineScript

in #obv • 5 years ago

Kal’s Multi-Time Frame On Balance Volume Haar, also known as Kal’s MTF OBV Haar is a method/study for finding trending volume levels on stocks, indexes and cryptocurrencies using OBV, CMF and CCI over different time-frames (10m, 1H, 4H, 1D, 1W, 1M).

Upon adding to the 10-min chart, the sample Image in Tradingview looks as follows:

10min_MTF_OBV_Haar.png

Note: Kal's MTF OBV Haar is the lower Plot. The upper plot is Kal's MTF ADX Rangoli Roller( ([https://www.tradingview.com/script/zbjpdcvd-Kal-s-MTF-ADX-Rangoli-Roller)] )

Kal’s MTF OBV Haar is made for Stocks/Cryptocurrencies/Forex. The input parameters may be fine-tuned for different types of assets and in those assets, it may be fine-tuned for different ticker symbols.

  • For cryptocurrencies, one week is 7 periods, two weeks is 14 periods
  • For stocks, one week is 5 periods, two weeks is 10 periods

For the study of stocks, I used

  • 9-period EMA over OBV for time-frames (10m, 1H, 4H, D)
  • 4-period EMA over OBV for time-frames (W, M)

For the study of crypto-currencies, I would update EMAs as follows:

  • 13-period EMA over OBV for time-frames (10m, 1H, 4H, D)
  • 6-period EMA over OBV for time-frames (W, M)

Description:

In the study plot, the lowest row is 10m, row above is 1H, row above is 4H, then 1D, then 1W and highest row is 1M. (In a Tradingview chart, you may change different time periods to observe each row of MTF OBV HAAR with corresponding price bars.)

  • Lime( Bright Green) dot implies Trending Uptrend for that time-frame
  • Red dot implies Trending Downward for that time-frame

It’s best to wait and research for possibility of trend reversal during the following dots/bricks:

  • Silver dot implies indecisive up
  • Orange dot implies indecisive downtrend
  • Lime Brick implies CCI is near Zero line( between 15 and 0)
  • Red Brick implies CCI is near Zero line( between -15 and 0)
  • Purple dot implies CCI zero rejection to possibly/probably continue trend UP
  • Yellow dot implies CCI zero rejection to possibly/probably continue trend Down
  • Aqua dot implies that trend is overbought or oversold. This dot usually happens between red dots or green dots.
    Therefore, it’s best to wait for pull-back especially in lower time frames.

I am a disabled man. Therefore, I am not able to write in detail here today. More Details will follow as time permits. Please let me know if I am missing anything…

Legal Disclaimer: I published here so I get replies from fellow viewers to educate myself and for my daily expenses. Hence, if anyone uses this script for making their decisions, I am not responsible for any failures incurred.

Safe Trading!
Kal Gandikota

PS: If you found this script interesting and edifying please follow and upvote.

PS2: Please kindly donate for my daily expenses (atleast as you would on streets) at the following addresses:

  • BTC Wallet: 1NeDC1GvpFa49DFLuT1v28ohFjqtoWXNQ5
  • ETH Wallet: 0x35e557F39A998e7d35dD27c6720C3553e1c65053
  • NEO Wallet: AUdiNJDW7boeUyYYNhX86p2T8eWwuELSGr

PS3: For more information on OBV, CCI and CMF, please search internet or here yourself.

PS4: This study is intended for research in creating automated Python Trading Systems using Pandas(https://steemit.com/python/@chipmaker/how-to-find-guidance-on-building-python-based-cryptocurrency-trading-bots).

Test this code out free in the pine editor by creating a free account on https://www.tradingview.com. More details follow as time permits!

//BEGIN============================================
///////////////////////////////////////////////////////////////////////
//@version=4
//Author: KAL GANDIKOTA
// Kal’s Multi-Time Frame On Balance Volume Haar(Kal’s MTF OBV Haar)
// is a method/study for finding trending volume levels 
// on stocks, indexes and cryptocurrencies using OBV, CMF and CCI 
// over different time-frames (10m, 1H, 4H, 1D, 1W, 1M).
//
// Copyright (C) NOV 2019 KAL GANDIKOTA
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.
// 
// Please Kindly Donate for my Daily Expenses and Greater Works Than These
//
// BTC Wallet: 1NeDC1GvpFa49DFLuT1v28ohFjqtoWXNQ5
// ETH Wallet: 0x35e557F39A998e7d35dD27c6720C3553e1c65053
// NEO Wallet: AUdiNJDW7boeUyYYNhX86p2T8eWwuELSGr
// SteemID: chipmaker
//https://www.twitter.com/chipmaker_tweet
//https://steemit.com/@chipmaker
///////////////////////////////////////////////////////////////////////
study("Kal's MTF OBV HAAR", shorttitle="MTF_OBV_HAAR")

lengthema = input(9, title="Length of OBV EMA1 Signal Line")
lengthema2 = input(4, title="Length of OBV EMA2 Signal Line")

src = input(close, title="bar price type for OBV[close, hlc3, hl2, ....]", type=input.source)

cci1_length = input(10, minval=1, title="CCI1 Length")

cci_threshold = 0
cci_OBLevel = input(100, title="CCI Overbought Threshold")
cci_OSLevel = input(-100, title="CCI Oversold Threshold")

CMF_length = input(10, minval=1, title="CMF Length")
cmf_ob_threshold = input(0.6, title="CMF Overbought Cutoff", type=input.float)
cmf_os_threshold = input(-0.6, title="CMF Oversold Cutoff", type=input.float)

//OBV Function
obv(src) =>
    change_1 = change(src)
    cum(change(src) > 0 ? volume : change_1 < 0 ? -volume : 0 * volume)

//CMF Function
cmf(length) =>
    ad = close == high and close == low or high == low ? 0 : 
       (2 * close - low - high) / (high - low) * volume
    mf = sum(ad, length) / sum(volume, length)
    mf

//calculate OBV
o = obv(src)

//Calculate CCI
c1 = cci(src, cci1_length)

//Calculate CMF
cmf1 = cmf(CMF_length)

//OBV EMA Overlay
obv_ema = ema(o, lengthema)
obv_ema2 = ema(o, lengthema2)

//CCI conditions
uzr = crossover(c1[1], cci_threshold) and crossunder(c1, cci_threshold)
dzr = crossunder(c1[1], cci_threshold) and crossover(c1, cci_threshold)
cNearZ = c1 > -15 and c1 < 15

//cmf conditions
cmf_corners = cmf1 > cmf_ob_threshold or cmf1 < cmf_os_threshold

//##### HAAR items color Selection ##### 
f_obv_ema_cmf_cci_color(o, obv_ema, Dcolor1, Ucolor1, cmf_corners, c, uzr, dzr) =>
    obv_ema_up = (obv_ema > obv_ema[1])
    obv_ema_dn = (obv_ema < obv_ema[1])
    oabove = (o > obv_ema)
    obelow = (o < obv_ema)
    color_1 = color.new(color.purple, 0)
    color_2 = color.new(color.silver, 30)
    color_3 = color.new(color.yellow, 0)
    color_4 = color.new(color.orange, 50)
    obv_ema_fc = (obv_ema_up or oabove) ? (dzr ? color_1 : (c > 0) ? Ucolor1 : color_2) : 
                 (obv_ema_dn or obelow) ? (uzr ? color_3 : (c < 0) ? Dcolor1 : color_4) : 
                 color.blue
    color_5 = color.new(color.aqua, 0)
    obv_ema_cmf_fc = cmf_corners ? color_5 : obv_ema_fc
    obv_ema_cmf_fc

obv1_fc = f_obv_ema_cmf_cci_color(o, obv_ema, #FF0000, #00FF00, cmf_corners, c1, uzr, dzr)
obv2_fc = f_obv_ema_cmf_cci_color(o, obv_ema2, #FF0000, #00FF00, cmf_corners, c1, uzr, dzr)

//##### Time Frame Adjustments #####
//obv1_finalcolor = security(syminfo.tickerid, "1", obv1_fc, lookahead=barmerge.lookahead_on)
//obv5_finalcolor = security(syminfo.tickerid, "5", obv1_fc, lookahead=barmerge.lookahead_on)
obv15_finalcolor = security(syminfo.tickerid, "10", obv1_fc, lookahead=barmerge.lookahead_on)
obv60_finalcolor = security(syminfo.tickerid, "60", obv1_fc, lookahead=barmerge.lookahead_on)
obv240_finalcolor = security(syminfo.tickerid, "240", obv1_fc, lookahead=barmerge.lookahead_on)
obvD_finalcolor = security(syminfo.tickerid, "D", obv1_fc, lookahead=barmerge.lookahead_on)
obvW_finalcolor = security(syminfo.tickerid,"W", obv2_fc, lookahead=barmerge.lookahead_on)
obvM_finalcolor = security(syminfo.tickerid,"M", obv2_fc, lookahead=barmerge.lookahead_on)

//cNearZ_1m = security(syminfo.tickerid, "1", cNearZ, lookahead=barmerge.lookahead_on)
//cNearZ_5m = security(syminfo.tickerid, "5", cNearZ, lookahead=barmerge.lookahead_on)
cNearZ_15m = security(syminfo.tickerid, "10", cNearZ, lookahead=barmerge.lookahead_on)
cNearZ_60m = security(syminfo.tickerid, "60", cNearZ, lookahead=barmerge.lookahead_on)
cNearZ_240m = security(syminfo.tickerid, "240", cNearZ, lookahead=barmerge.lookahead_on)
cNearZ_D = security(syminfo.tickerid, "D", cNearZ, lookahead=barmerge.lookahead_on)
cNearZ_W = security(syminfo.tickerid, "W", cNearZ, lookahead=barmerge.lookahead_on)
cNearZ_M = security(syminfo.tickerid, "M", cNearZ, lookahead=barmerge.lookahead_on)

//#####PLOTS#####
//plot1 = plot(cNearZ ? na : 1, color=obv1_finalcolor, style=plot.style_circles, linewidth=4, transp=0)
//plot5 = plot(cNearZ_5m ? na : 2, color=obv5_finalcolor, style=plot.style_circles, linewidth=4, transp=0)
plot15 = plot(cNearZ_15m ? na : 3, color=obv15_finalcolor, style=plot.style_circles, linewidth=4, transp=0)
plot60 = plot(cNearZ_60m ? na : 4, color=obv60_finalcolor, style=plot.style_circles, linewidth=4, transp=0)
plot240 = plot(cNearZ_240m ? na : 5, color=obv240_finalcolor, style=plot.style_circles, linewidth=4, transp=0)
plotD = plot(cNearZ_D ? na : 6, color=obvD_finalcolor, style=plot.style_circles, linewidth=4, transp=0)
plotW = plot(cNearZ_W ? na : 7, color=obvW_finalcolor, style=plot.style_circles, linewidth=4, transp=0)
plotM = plot(cNearZ_M ? na : 8, color=obvM_finalcolor, style=plot.style_circles, linewidth=4, transp=0)

//plot1_col = plot(cNearZ ? 1.5 : na, color=obv1_finalcolor, style=plot.style_columns, linewidth=4, transp=0, histbase=0.5)
//plot5_col = plot(cNearZ_5m ? 2.5 : na, color=obv5_finalcolor, style=plot.style_columns, linewidth=4, transp=0, histbase=1.5)
plot15_col = plot(cNearZ_15m ? 3.5 : na, color=obv15_finalcolor, style=plot.style_columns, linewidth=4, transp=0, histbase=2.5)
plot60_col = plot(cNearZ_60m ? 4.5 : na, color=obv60_finalcolor, style=plot.style_columns, linewidth=4, transp=0, histbase=3.5)
plot240_col = plot(cNearZ_240m ? 5.5 : na, color=obv240_finalcolor, style=plot.style_columns, linewidth=4, transp=0, histbase=4.5)
plotD_col = plot(cNearZ_D ? 6.5 : na, color=obvD_finalcolor, style=plot.style_columns, linewidth=4, transp=0, histbase=5.5)
plotW_col = plot(cNearZ_W ? 7.5 : na, color=obvW_finalcolor, style=plot.style_columns, linewidth=4, transp=0, histbase=6.5)
plotM_col = plot(cNearZ_M ? 8.5 : na, color=obvM_finalcolor, style=plot.style_columns, linewidth=4, transp=0, histbase=7.5)
//END============================================
#obvhaar #multi-timeframe #kal #gandikota
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