Pivot Trendlines with Divergence Scanner

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © goodgains


//@version=5
indicator("Pivot Trendlines with Divergence Scanner", overlay = true)

// @keywords: pivot-trendlines, rsi-divergence, stoch-rsi, ma-stack, divergence-scanner, session-filter, atr-targets, buy-sell-signals, pivot-high-low, trendline-break, triple-ma, signal-filter, eos-exit, overbought-oversold, scanner-alerts, pivot-lines, rsi-cross, stoch-cross, target-stop, session-times

// general settings
use_sess_time   = input.bool(true, title = 'Session Times', group = 'General Settings', inline = '1')
sess_time       = input.session('0700-2100', title = '', group = 'General Settings', inline = '1')

exit_at_eos     = input.bool(false, title = 'Exit at End Of Session', group = 'General Settings', inline = '2')
take_every_signal= input.bool(true, title = 'Take Every Signal', group = 'General Settings', inline = '3')

tgt_atr         = input.float(2.25, title = 'Target ATR', group = 'General Settings', inline = '4')
stop_atr        = input.float(3.00, title = 'Stop ATR', group = 'General Settings', inline = '5')



// ma settings
ma1_length      = input.int(8, title = 'MA 1', group = 'MA Settings', inline = '1')
ma1_type        = input.string('EMA', title = '', group = 'MA Settings', inline = '1', options = ['EMA','SMA', 'HMA', 'VWMA', 'RMA'])

ma2_length      = input.int(14, title = 'MA 2', group = 'MA Settings', inline = '2')
ma2_type        = input.string('EMA', title = '', group = 'MA Settings', inline = '2', options = ['EMA','SMA', 'HMA', 'VWMA', 'RMA'])

ma3_length      = input.int(50, title = 'MA 3', group = 'MA Settings', inline = '3')
ma3_type        = input.string('EMA', title = '', group = 'MA Settings', inline = '3', options = ['EMA','SMA', 'HMA', 'VWMA', 'RMA'])



// stoch rsi settings
smoothK         = input.int(3, "K", minval=1, group = 'Stoch RSI Settings')
smoothD         = input.int(3, "D", minval=1, group = 'Stoch RSI Settings')
lengthRSI       = input.int(14, "RSI Length", minval=1, group = 'Stoch RSI Settings')
lengthStoch     = input.int(14, "Stochastic Length", minval=1, group = 'Stoch RSI Settings')
src             = input.source(close, title="RSI Source", group = 'Stoch RSI Settings')
stoch_buy       = input.int(75, title = 'Stoch Buy Below', group = 'Stoch RSI Settings')
stoch_sell      = input.int(25, title = 'Stoch Sell Above', group = 'Stoch RSI Settings')



// rsi settings
rsiLengthInput      = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput      = input.source(close, "RSI Source", group="RSI Settings")
rsi_buy_lvl         = input.int(70, title = 'RSI Buy Below', group = 'RSI Settings')
rsi_sell_lvl        = input.int(30, title = 'RSI Sell Above', group = 'RSI Settings')
use_rsi_div         = input.bool(true, title = 'Use RSI Divergence In Signals', group = 'RSI Settings')
rsi_div_length      = input.int(5, title = 'RSI Divergence Length', group = 'RSI Settings')





// ma function
f_ma(ma_length, ma_type) =>
    float ma = switch ma_type
        "EMA" => ta.ema(close, ma_length)
        "SMA" => ta.sma(close, ma_length)
        "RMA" => ta.rma(close, ma_length)
        "HMA" => ta.hma(close, ma_length)
        "VWMA" => ta.vwma(close, ma_length)
        => ta.ema(close, ma_length)




// ma values
ma1_value = f_ma(ma1_length, ma1_type)
ma2_value = f_ma(ma2_length, ma2_type)
ma3_value = f_ma(ma3_length, ma3_type)

plot(ma1_value, title = 'MA 1', color = color.rgb(209, 238, 250), linewidth = 1)
plot(ma2_value, title = 'MA 2', color = color.rgb(255, 196, 0), linewidth = 1)
plot(ma3_value, title = 'MA 3', color = color.rgb(248, 0, 0), linewidth = 3)

var bool ma_buy     = false
var bool ma_sell    = false

ma_buy  := (ma1_value > ma2_value and ma2_value > ma3_value) and close >= ma1_value
ma_sell := (ma1_value < ma2_value and ma2_value < ma3_value) and close <= ma1_value



// stoch rsi values
rsi1 = ta.rsi(src, lengthRSI)
k = ta.sma(ta.stoch(rsi1, rsi1, rsi1, lengthStoch), smoothK)
d = ta.sma(k, smoothD)

var bool stochrsi_buy     = false
var bool stochrsi_sell    = false

stochrsi_buy  := ta.crossover(k, d) and k < stoch_buy
stochrsi_sell := ta.crossunder(k, d ) and k > stoch_sell



// rsi values
rsi_value = ta.rsi(rsiSourceInput, rsiLengthInput)

var bool rsi_buy     = false
var bool rsi_sell    = false

rsi_buy  := rsi_value <= rsi_buy_lvl
rsi_sell := rsi_value >= rsi_sell_lvl



// rsi divergence
swing_high          = ta.pivothigh(high, rsi_div_length, rsi_div_length)
swing_low           = ta.pivotlow(low, rsi_div_length, rsi_div_length)
rsi_high_div_src    = ta.highest(rsi_value, rsi_div_length)
rsi_low_div_src     = ta.lowest(rsi_value, rsi_div_length)

var float csh       = 0.00
var float csl       = 0.00
var float psh       = 0.00
var float psl       = 0.00

var float rsi_csh   = 0.00
var float rsi_csl   = 0.00
var float rsi_psh   = 0.00
var float rsi_psl   = 0.00

var int price_trend = 0
var int rsi_trend   = 0

var bool rsi_div_buy = false
var bool rsi_div_sell = false

if use_rsi_div
    if swing_high
        csh := high[rsi_div_length]
        psh := csh[1]
        rsi_csh := rsi_high_div_src
        rsi_psh := rsi_csh[1]

    if swing_low
        csh := high[rsi_div_length]
        psh := csh[1]
        rsi_csl := rsi_low_div_src
        rsi_psl := rsi_csl[1]

    // price_trend := ((csh >= psh and high >= psh) or close > csh) ? 1 
    //  : ((csl <= psl and low <= psl) or close < csl) ? -1 
    //  : (csh < psh) or (csl > psl) ? 0 : price_trend[1]

    // rsi_trend := ((rsi_csh >= rsi_psh and rsi_value >= rsi_psh)) ? 1 
    //  : ((rsi_csl <= rsi_psl and rsi_value <= rsi_psl)) ? -1 
    //  : (rsi_csh < rsi_psh) or (rsi_csl > rsi_psl) ? 0 : price_trend[1]

    // rsi_div_buy  := price_trend != 1 and rsi_trend == 1
    // rsi_div_sell := price_trend != -1 and rsi_trend == -1

    rsi_div_buy     := (csl <= psl and rsi_csl >= rsi_psl)
    rsi_div_sell    := (csh >= psh and rsi_csh <= rsi_psh)

else
    rsi_div_buy  := true
    rsi_div_sell := true




// session times
is_session = time(timeframe.period, sess_time, "Europe/London") or not use_sess_time




// trade signals 
var bool long_entry     = false
var bool short_entry    = false

var int last_signal     = 0 

var bool tgt_hit        = false
var bool sl_hit         = false

var float entry         = 0.00
var float tp            = 0.00
var float sl            = 0.00

atr_amount = ta.atr(14)

can_long  = take_every_signal or nz(last_signal[1],0) != 1
can_short = take_every_signal or nz(last_signal[1],0) == 1

long_entry  := ma_buy and stochrsi_buy and rsi_buy and rsi_div_buy and is_session and can_long
short_entry := ma_sell and stochrsi_sell and rsi_sell and rsi_div_sell and is_session and can_short

entry       := long_entry[1] ? open : short_entry[1] ? open : last_signal == 0 ? na : entry[1]
tp          := long_entry[1] ? open + (atr_amount * tgt_atr) : short_entry[1] ?  open - (atr_amount * tgt_atr) : last_signal == 0 ? na : tp[1]
sl          := long_entry[1] ? open - (atr_amount * stop_atr) : short_entry[1] ? open + (atr_amount * stop_atr) : last_signal == 0 ? na : sl[1]

tgt_hit     := last_signal == 1 and high >= tp ? true : last_signal == -1 and low <= tp ? true : false
sl_hit      := last_signal == 1 and low <= sl ? true : last_signal == -1 and high >= sl ? true :false

last_signal := long_entry ? 1 : short_entry ? -1 : tgt_hit or sl_hit or (not is_session and exit_at_eos) ? 0 : last_signal[1]



// plot signals
plotshape(long_entry, title = 'Buy', text = 'BUY', color = color.green, textcolor = color.white, location = location.belowbar, style = shape.labelup, size = size.small)
plotshape(short_entry, title = 'Sell', text = 'SELL', color = color.red, textcolor = color.white, location = location.abovebar, style = shape.labeldown, size = size.small)

plotshape(tgt_hit and last_signal[1] == -1, title = 'SS TP', text = 'TP', color = color.gray, textcolor = color.white,location = location.belowbar, style = shape.labelup, size = size.small)
plotshape(tgt_hit and last_signal[1] == 1, title = 'L TP', text = 'TP', color = color.gray, textcolor = color.white,location = location.abovebar, style = shape.labeldown, size = size.small)

plotshape(sl_hit and last_signal[1] == -1, title = 'SS SL', text = 'SL', color = color.gray, textcolor = color.white,location = location.belowbar, style = shape.labelup, size = size.small)
plotshape(sl_hit and last_signal[1] == 1, title = 'L SL', text = 'SL', color = color.gray, textcolor = color.white,location = location.abovebar, style = shape.labeldown, size = size.small)

plotshape(last_signal[1] != 0 and last_signal == 0 and not is_session ? close : na,title = 'EOS', text = 'EOS', color = color.gray, textcolor = color.white,location = location.absolute, style = shape.xcross, size = size.small)
p_entry = plot(entry, title = 'Entry', color = color.rgb(33, 149, 243, 80), style = plot.style_circles)
p_tgt   = plot(tp, title = 'Target', color = color.rgb(76, 175, 79, 80), style = plot.style_circles)
p_sl    = plot(sl, title = 'Stop', color = color.rgb(255, 82, 82, 80), style = plot.style_circles)

fill(p_entry, p_tgt, color = color.rgb(76, 175, 79, 80), fillgaps = false)
fill(p_entry, p_sl, color = color.rgb(255, 82, 82, 80), fillgaps = false)



// alerts
alertcondition(long_entry, 'BUY Signal', 'Buy Signal')
alertcondition(short_entry, 'SELL Signal', 'Sell Signal')

alertcondition(tgt_hit and last_signal[1] == -1, 'SS TP', 'SS TP')
alertcondition(tgt_hit and last_signal[1] == 1, 'L TP', 'L TP')

alertcondition(sl_hit and last_signal[1] == -1, 'SS SL', 'SS SL')
alertcondition(sl_hit and last_signal[1] == 1, 'L SL', 'L SL')