Function cosine wave updated

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © DarkPoolTrading
// Based on the Function Sine Wave Indicator by RicardoSantos

//@version=5
indicator(title='Function Cosine Wave', precision=12)

method1 = input.string('Median', options=['EMA', 'Median', 'SMA'])
length1 = input(5)
mult1 = input.int(1, minval=0, maxval=1)

method2 = input.string('Median', options=['EMA', 'Median', 'SMA'])
length2 = input(7)
mult2 = input.int(1, minval=0, maxval=1)

method3 = input.string('Median', options=['EMA', 'Median', 'SMA'])
length3 = input(9)
mult3 = input.int(1, minval=0, maxval=1)
//----
Avg(x, length, method) =>
    sma_1 = ta.sma(x, length)
    ema_1 = ta.ema(x, length)
    percentile_linear_interpolation_1 = ta.percentile_linear_interpolation(x, length, 50)
    method == 'SMA' ? sma_1 : method == 'EMA' ? ema_1 : percentile_linear_interpolation_1
//----
a1 = ta.highest(length1) - math.max(close, open)
b1 = math.min(close, open) - ta.lowest(length1)
c1 = math.max(close, open) + a1 * mult1
d1 = math.min(close, open) - b1 * mult1

a2 = ta.highest(length2) - math.max(close, open)
b2 = math.min(close, open) - ta.lowest(length2)
c2 = math.max(close, open) + a2 * mult2
d2 = math.min(close, open) - b2 * mult2

a3 = ta.highest(length3) - math.max(close, open)
b3 = math.min(close, open) - ta.lowest(length3)
c3 = math.max(close, open) + a3 * mult3
d3 = math.min(close, open) - b3 * mult3
//----
e1 = Avg(c1, length1, method1)
f1 = Avg(d1, length1, method1)
g1 = 0
cross_1 = ta.cross(close, f1)
g1 := ta.cross(close, e1) ? 1 : cross_1 ? 0 : nz(g1[1])

e2 = Avg(c2, length2, method2)
f2 = Avg(d2, length2, method2)
g2 = 0
cross_2 = ta.cross(close, f2)
g2 := ta.cross(close, e2) ? 1 : cross_2 ? 0 : nz(g2[1])

e3 = Avg(c3, length3, method3)
f3 = Avg(d3, length3, method3)
g3 = 0
cross_3 = ta.cross(close, f3)
g3 := ta.cross(close, e3) ? 1 : cross_3 ? 0 : nz(g3[1])
//---
hilo1 = g1 * f1 + (1 - g1) * e1
css1 = g1 == 1 ? color.green : color.red
plot(hilo1, color=css1, style=plot.style_line, show_last=1, linewidth=1, trackprice=true, transp=0)

hilo2 = g2 * f2 + (1 - g2) * e2
css2 = g2 == 1 ? color.green : color.red
plot(hilo2, color=css2, style=plot.style_line, show_last=1, linewidth=1, trackprice=true, transp=0)

hilo3 = g3 * f3 + (1 - g3) * e3
css3 = g3 == 1 ? color.green : color.red
plot(hilo3, color=css3, style=plot.style_line, show_last=1, linewidth=1, trackprice=true, transp=0)


//end of this part



wave_height = input(100)
wave_duration = input(50)
n = bar_index

f_cosine_wave(_wave_height, _wave_duration) =>
    _pi = 3.14159265359
    _w = 2 * _pi / _wave_duration
    _cosine_wave = _wave_height * math.sin(_w * n + _pi / 2)
    _cosine_wave

wave = f_cosine_wave(wave_height, wave_duration)
wave2 = f_cosine_wave(wave_height, close)
plot(series=wave, title='Normal', color=color.new(#FFFFFF, 0))
//plot(series=wave2, title='Price as cycle duration', color=#C9A0DC)

//end of this part


//end of this part


//study(title="[RS]Compounded Risk Score", shorttitle="CRS")
//  if you took a trade for every bars close for the duration of the length
//  how would those trades fair atm?
//  values closer to (100 | -100) are better for its (bull | bear), closer to 0 will be closer to break eaven.
//  this indicator is optimal for trending markets.

length = input(100)
avg_length = input(25)

f_compound_risk(_source, _length) =>
    _total = 0.0
    _absolute = 0.0
    for _i = 1 to _length by 1
        _container0 = _total
        _container1 = _absolute
        _total := _container0 + _source[0] - _source[_i]
        _absolute := _container1 + math.abs(_source[0] - _source[_i])
        _absolute
    if _total > 0
        _container = _total
        _total := _total / _absolute
        _total
    else
        _container = _total
        _total := 0 - math.abs(_container) / _absolute
        _total
    _total * 100

//inp = input(close)

cr = f_compound_risk(wave, length)
ma = ta.ema(cr, avg_length)

plot(series=cr, color=color.new(color.black, 0))
plot(series=ma, color=color.new(color.navy, 0))
hline(100)
hline(50)
hline(0)
hline(-50)
hline(-100)

//end of this part

//@version=5
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Electrified (electrifiedtrading)
//indicator(title='Stochastic RSI+', shorttitle='Stoch RSI+', format=format.price, precision=2, timeframe='')  // v2

kcolor = #0094FF
dcolor = #FF6A00
WMA = 'WMA'
EMA = 'EMA'
SMA = 'SMA'
VWMA = 'VWMA'
VAWMA = 'VAWMA'

///////////////////////////////////////////////////
// Input

k_mode = input.string(SMA, 'K Mode', inline='Source', options=[SMA, EMA, WMA, VWMA, VAWMA])
src = wave
smoothK = input.int(3, 'K', inline='Values', minval=1)
smoothD = input.int(3, 'D', inline='Values', minval=1)


lengthRSI = input.int(14, 'RSI', group='Lengths', inline='Lengths', minval=1)
lengthStoch = input.int(14, 'Stochastic', group='Lengths', inline='Lengths', minval=1)


upperBand = input.int(80, 'Upper', group='Band', minval=50, maxval=100)
lowerBand = input.int(20, 'Lower', group='Band', maxval=50, minval=0)


///////////////////////////////////////////////////
// Functions
vawma(src, len) =>
    sum = 0.0
    vol = 0.0
    for m = 1 to len by 1  // m = triangular multiple
        i = len - m
        v = volume[i] * m
        vol += v
        sum += src[i] * v
        sum
    sum / vol
////

getMA(series, mode, len) =>
    mode == WMA ? ta.wma(series, len) : mode == EMA ? ta.ema(series, len) : mode == VWMA ? ta.vwma(series, len) : mode == VAWMA ? vawma(series, len) : ta.sma(series, len)
////

///////////////////////////////////////////////////
// Calculation
rsi1 = ta.rsi(src, lengthRSI)
stoch = ta.stoch(rsi1, rsi1, rsi1, lengthStoch)
k = getMA(stoch, k_mode, smoothK)
d = ta.sma(k, smoothD)
k_c = ta.change(k)
d_c = ta.change(d)
kd = k - d


///////////////////////////////////////////////////
// Visualization
h0 = hline(upperBand, 'Upper Band', color=#606060)
hline(50, 'Middle Band', color=#606060)
h1 = hline(lowerBand, 'Lower Band', color=#606060)
fill(h0, h1, color=color.new(#9915FF, 95), title='Band Background')

signalColor = k > lowerBand and d < upperBand and k > d and k_c > 0 and d_c > 0 ? kcolor : k < upperBand and d > lowerBand and k < d and k_c < 0 and d_c < 0 ? dcolor : na
kp = plot(k, 'K', color=color.new(kcolor, 0))
dp = plot(d, 'D', color=color.new(dcolor, 0))
fill(kp, dp, color=color.new(signalColor, 50), title='K-D')

signalUp = not na(signalColor) and kd > 0
signalDown = not na(signalColor) and kd < 0

plot(signalUp ? kd : na, 'Signal Up', color=color.new(kcolor, 0), style=plot.style_columns)
plot(signalDown ? kd + 100 : na, 'Signal Down', color=color.new(dcolor, 0), style=plot.style_columns, histbase=100)


///////////////////////////////////////////////////
// Alerts
alertcondition(d < lowerBand, '1: Over-sold', 'Stoch RSI+: Over-sold\nD value below lower band. ({{ticker}} {{interval}})')
alertcondition(d < lowerBand and k > d, '2: Over-sold & Rising ▲', 'Stoch RSI+ Over-sold & Rising ▲\nK>D and D value below lower band. ({{ticker}} {{interval}})')
alertcondition(signalUp, '3: Postitive (+) Momentum ▲', 'Stoch RSI+: Postitive (+) Momentum ▲\nK&D rising ▲ within band. ({{ticker}} {{interval}})')
alertcondition(d > upperBand, '4: Over-bought', 'Stoch RSI+: Over-bought\nD value above upper band. ({{ticker}} {{interval}})')
alertcondition(d > upperBand and k < d, '5: Over-bought & Falling ▼', 'Stoch RSI+: Over-bought & Falling ▼\nK<D and D value above upper band. ({{ticker}} {{interval}})')
alertcondition(signalDown, '6: Negative (-) Momentum ▼', 'Stoch RSI+: Negative (-) Momentum ▼\nK&D falling ▼ within band. ({{ticker}} {{interval}})')