Calculates buy and sell volume pressure alongside the Awesome Oscillator to scan for market divergence opportunities. It initiates long and short strategy entries when divergence signals meet conditions, optionally filtered by New York trading session hours an
Strategy · Pine Script v4 · On the chart
Divergence Strategy
Divergence Strategy scans multiple technical oscillators to detect regular and hidden divergences against price action.
GitHub stars4on the repository
Pine versionv4older, still runs
Lines of code430
Settings37inputs
LicenceNone statedfile: MPL-2.0
Last update4 years ago15 Oct 2022
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
430 lines of Pine Script v4 from strategies/v4/divergence_strategy.pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © dolan_0x
//@version=4
strategy("Divergence Strategy", overlay=true, margin_long=100, margin_short=100)
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 = false, title = "CCI")
calcmom = input(defval = false, title = "Momentum")
calcobv = input(defval = false, title = "OBV")
calcvwmacd = input(false, title = "VWmacd")
calccmf = input(false, title = "Chaikin Money Flow")
calcmfi = input(false, 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 created 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
removed_unconfirmed_neg_div = false
removed_unconfirmed_pos_div = false
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
removed_unconfirmed_neg_div := true
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
))
GetPipSize() =>
syminfo.mintick * (syminfo.type == "forex" ? 10 : 1)
take_profit_pips = 50
stop_loss_pips = 50
pipSize = GetPipSize()
price_target = close + (take_profit_pips * pipSize)
price_stop_loss = close - (stop_loss_pips * pipSize)
long_qty = 5
short_qty = 5
if (pos_reg_div_detected and dnumdiv_bottom >= 4)
long_strategy_id = "Long Entry "+tostring(bar_index)+ " ("+tostring(close)+")"
exit_long_strategy_id = "Exit Long "+tostring(bar_index)
strategy.entry(long_strategy_id, strategy.long, qty = long_qty) // Buy Market Order at bar close
strategy.exit(exit_long_strategy_id,long_strategy_id,profit = take_profit_pips, loss = stop_loss_pips)
if (neg_reg_div_detected and dnumdiv_top >= 4)
short_strategy_id = "Short Entry "+tostring(bar_index)+ " ("+tostring(close)+")"
exit_short_strategy_id = "Exit Short "+tostring(bar_index)
strategy.entry(short_strategy_id, strategy.short, qty = short_qty)
strategy.exit(exit_short_strategy_id,short_strategy_id,profit = take_profit_pips, loss = stop_loss_pips)
Overview
Divergence Strategy evaluates customizable indicators including MACD, RSI, Stochastic, CCI, Momentum, OBV, and Money Flow Index to trigger strategy entries on confirmed divergence signals. Input parameters allow users to set pivot evaluation periods, set minimum divergence count thresholds, adjust line display styles, and overlay 50-period and 200-period moving averages directly on the price chart. The script does not include automated stop loss or take profit exit rules.
- Multi-indicator divergence detection
- Supports regular and hidden divergence types
- Customizable pivot periods and divergence count thresholds
- Optional 50 and 200 moving average overlay
Details
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Pivot Period | int | 5 | prd |
| Source for Pivot Points | string | Close | source |
| Divergence Type | string | Regular | searchdiv |
| Show Indicator Names | string | Full | showindis |
| Minimum Number of Divergence | int | 1 | showlimit |
| Maximum Pivot Points to Check | int | 10 | maxpp |
| Maximum Bars to Check | int | 100 | maxbars |
| Show Divergence Number | bool | true | shownum |
| Show Only Last Divergence | bool | false | showlast |
| Don't Wait for Confirmation | bool | false | dontconfirm |
| Show Divergence Lines | bool | true | showlines |
| Show Pivot Points | bool | false | showpivot |
Show all 37 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| MACD | bool | true | calcmacd |
| MACD Histogram | bool | true | calcmacda |
| RSI | bool | true | calcrsi |
| Stochastic | bool | true | calcstoc |
| CCI | bool | false | calccci |
| Momentum | bool | false | calcmom |
| OBV | bool | false | calcobv |
| VWmacd | bool | false | calcvwmacd |
| Chaikin Money Flow | bool | false | calccmf |
| Money Flow Index | bool | false | calcmfi |
| Check External Indicator | bool | false | calcext |
| External Indicator | source | close | externalindi |
| Positive Regular Divergence | color | color.yellow | pos_reg_div_col |
| Negative Regular Divergence | color | color.navy | neg_reg_div_col |
| Positive Hidden Divergence | color | color.lime | pos_hid_div_col |
| Negative Hidden Divergence | color | color.red | neg_hid_div_col |
| Positive Divergence Text Color | color | color.black | pos_div_text_col |
| Negative Divergence Text Color | color | color.white | neg_div_text_col |
| Regular Divergence Line Style | string | Solid | reg_div_l_style_ |
| Hdden Divergence Line Style | string | Dashed | hid_div_l_style_ |
| Regular Divergence Line Width | int | 2 | reg_div_l_width |
| Hidden Divergence Line Width | int | 1 | hid_div_l_width |
| Show MAs 50 & 200 | bool | false | showmas |
| cma1col | color | color.lime | cma1col |
| cma2col | color | color.red | cma2col |
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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This strategy enters long on an outside bar when the candle is bullish, the Klinger Volume Oscillator is positive, and price is above a Hull moving average. It enters short on an inside bar when the candle is bearish, the oscillator is negative, and price is b
This overlay strategy looks for gold scalps from break of structure and change of character. It enters long when a bullish break, a bullish character change, and an optional volume filter align, and short on the opposite set. Optional RSI levels can block trad
This strategy trades on the price chart using multiple indicators. It enters long positions when price dips meet conditions on Bollinger Bands 40 and 20, RSI, MFI, volume and other thresholds. It exits at custom ROI profit levels based on RSI or after timeout
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