A multi-indicator consensus strategy that computes combined rating signals from various moving averages and technical oscillators, including RSI, Stochastic, MACD, CCI, ADX, and Ichimoku Cloud.
//@version=5
strategy(title="Technical Ratings Strategy", shorttitle="Technicals Strategy", default_qty_type = strategy.percent_of_equity, default_qty_value = 5, overlay=true)
res = input.timeframe("", title="Indicator Timeframe")
ratingSignal = input.string(defval = "All", title = "Rating is based on", options = ["MAs", "Oscillators", "All"])
// Awesome Oscillator
AO() =>
ta.sma(hl2, 5) - ta.sma(hl2, 34)
// Stochastic RSI
StochRSI() =>
rsi1 = ta.rsi(close, 14)
K = ta.sma(ta.stoch(rsi1, rsi1, rsi1, 14), 3)
D = ta.sma(K, 3)
[K, D]
// Ultimate Oscillator
tl() => close[1] < low ? close[1]: low
uo(ShortLen, MiddlLen, LongLen) =>
Value1 = math.sum(ta.tr, ShortLen)
Value2 = math.sum(ta.tr, MiddlLen)
Value3 = math.sum(ta.tr, LongLen)
Value4 = math.sum(close - tl(), ShortLen)
Value5 = math.sum(close - tl(), MiddlLen)
Value6 = math.sum(close - tl(), LongLen)
float UO = na
if Value1 != 0 and Value2 != 0 and Value3 != 0
var0 = LongLen / ShortLen
var1 = LongLen / MiddlLen
Value7 = (Value4 / Value1) * (var0)
Value8 = (Value5 / Value2) * (var1)
Value9 = (Value6 / Value3)
UO := (Value7 + Value8 + Value9) / (var0 + var1 + 1)
UO
// Ichimoku Cloud
donchian(len) => math.avg(ta.lowest(len), ta.highest(len))
ichimoku_cloud() =>
conversionLine = donchian(9)
baseLine = donchian(26)
leadLine1 = math.avg(conversionLine, baseLine)
leadLine2 = donchian(52)
[conversionLine, baseLine, leadLine1, leadLine2]
calcRatingMA(ma, src) => na(ma) or na(src) ? na : (ma == src ? 0 : ( ma < src ? 1 : -1 ))
calcRating(buy, sell) => buy ? 1 : ( sell ? -1 : 0 )
calcRatingAll() =>
//============== MA =================
SMA10 = ta.sma(close, 10)
SMA20 = ta.sma(close, 20)
SMA30 = ta.sma(close, 30)
SMA50 = ta.sma(close, 50)
SMA100 = ta.sma(close, 100)
SMA200 = ta.sma(close, 200)
EMA10 = ta.ema(close, 10)
EMA20 = ta.ema(close, 20)
EMA30 = ta.ema(close, 30)
EMA50 = ta.ema(close, 50)
EMA100 = ta.ema(close, 100)
EMA200 = ta.ema(close, 200)
HullMA9 = ta.hma(close, 9)
// Volume Weighted Moving Average (VWMA)
VWMA = ta.vwma(close, 20)
[IC_CLine, IC_BLine, IC_Lead1, IC_Lead2] = ichimoku_cloud()
// ======= Other =============
// Relative Strength Index, RSI
RSI = ta.rsi(close,14)
// Stochastic
lengthStoch = 14
smoothKStoch = 3
smoothDStoch = 3
kStoch = ta.sma(ta.stoch(close, high, low, lengthStoch), smoothKStoch)
dStoch = ta.sma(kStoch, smoothDStoch)
// Commodity Channel Index, CCI
CCI = ta.cci(close, 20)
// Average Directional Index
float adxValue = na, float adxPlus = na, float adxMinus = na
[P, M, V] = ta.dmi(14, 14)
adxValue := V
adxPlus := P
adxMinus := M
// Awesome Oscillator
ao = AO()
// Momentum
Mom = ta.mom(close, 10)
// Moving Average Convergence/Divergence, MACD
[macdMACD, signalMACD, _] = ta.macd(close, 12, 26, 9)
// Stochastic RSI
[Stoch_RSI_K, Stoch_RSI_D] = StochRSI()
// Williams Percent Range
WR = ta.wpr(14)
// Bull / Bear Power
BullPower = high - ta.ema(close, 13)
BearPower = low - ta.ema(close, 13)
// Ultimate Oscillator
UO = uo(7,14,28)
if not na(UO)
UO := UO * 100
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
PriceAvg = ta.ema(close, 50)
DownTrend = close < PriceAvg
UpTrend = close > PriceAvg
// calculate trading recommendation based on SMA/EMA
float ratingMA = 0
float ratingMAC = 0
float ratingSMA10 = na
if not na(SMA10)
ratingSMA10 := calcRatingMA(SMA10, close)
ratingMA := ratingMA + ratingSMA10
ratingMAC := ratingMAC + 1
float ratingSMA20 = na
if not na(SMA20)
ratingSMA20 := calcRatingMA(SMA20, close)
ratingMA := ratingMA + ratingSMA20
ratingMAC := ratingMAC + 1
float ratingSMA30 = na
if not na(SMA30)
ratingSMA30 := calcRatingMA(SMA30, close)
ratingMA := ratingMA + ratingSMA30
ratingMAC := ratingMAC + 1
float ratingSMA50 = na
if not na(SMA50)
ratingSMA50 := calcRatingMA(SMA50, close)
ratingMA := ratingMA + ratingSMA50
ratingMAC := ratingMAC + 1
float ratingSMA100 = na
if not na(SMA100)
ratingSMA100 := calcRatingMA(SMA100, close)
ratingMA := ratingMA + ratingSMA100
ratingMAC := ratingMAC + 1
float ratingSMA200 = na
if not na(SMA200)
ratingSMA200 := calcRatingMA(SMA200, close)
ratingMA := ratingMA + ratingSMA200
ratingMAC := ratingMAC + 1
float ratingEMA10 = na
if not na(EMA10)
ratingEMA10 := calcRatingMA(EMA10, close)
ratingMA := ratingMA + ratingEMA10
ratingMAC := ratingMAC + 1
float ratingEMA20 = na
if not na(EMA20)
ratingEMA20 := calcRatingMA(EMA20, close)
ratingMA := ratingMA + ratingEMA20
ratingMAC := ratingMAC + 1
float ratingEMA30 = na
if not na(EMA30)
ratingEMA30 := calcRatingMA(EMA30, close)
ratingMA := ratingMA + ratingEMA30
ratingMAC := ratingMAC + 1
float ratingEMA50 = na
if not na(EMA50)
ratingEMA50 := calcRatingMA(EMA50, close)
ratingMA := ratingMA + ratingEMA50
ratingMAC := ratingMAC + 1
float ratingEMA100 = na
if not na(EMA100)
ratingEMA100 := calcRatingMA(EMA100, close)
ratingMA := ratingMA + ratingEMA100
ratingMAC := ratingMAC + 1
float ratingEMA200 = na
if not na(EMA200)
ratingEMA200 := calcRatingMA(EMA200, close)
ratingMA := ratingMA + ratingEMA200
ratingMAC := ratingMAC + 1
float ratingHMA = na
if not na(HullMA9)
ratingHMA := calcRatingMA(HullMA9, close)
ratingMA := ratingMA + ratingHMA
ratingMAC := ratingMAC + 1
float ratingVWMA = na
if not na(VWMA)
ratingVWMA := calcRatingMA(VWMA, close)
ratingMA := ratingMA + ratingVWMA
ratingMAC := ratingMAC + 1
float ratingIC = na
if not (na(IC_Lead1) or na(IC_Lead2) or na(close) or na(close[1]) or na(IC_BLine) or na(IC_CLine))
ratingIC := calcRating(
IC_Lead1 > IC_Lead2 and close > IC_Lead1 and close < IC_BLine and close[1] < IC_CLine and close > IC_CLine,
IC_Lead2 > IC_Lead1 and close < IC_Lead2 and close > IC_BLine and close[1] > IC_CLine and close < IC_CLine)
if not na(ratingIC)
ratingMA := ratingMA + ratingIC
ratingMAC := ratingMAC + 1
ratingMA := ratingMAC > 0 ? ratingMA / ratingMAC : na
float ratingOther = 0
float ratingOtherC = 0
float ratingRSI = na
if not(na(RSI) or na(RSI[1]))
ratingRSI := calcRating(RSI < 30 and RSI[1] < RSI, RSI > 70 and RSI[1] > RSI)
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingRSI
float ratingStoch = na
if not(na(kStoch) or na(dStoch) or na(kStoch[1]) or na(dStoch[1]))
ratingStoch := calcRating(kStoch < 20 and dStoch < 20 and kStoch > dStoch and kStoch[1] < dStoch[1], kStoch > 80 and dStoch > 80 and kStoch < dStoch and kStoch[1] > dStoch[1])
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingStoch
float ratingCCI = na
if not(na(CCI) or na(CCI[1]))
ratingCCI := calcRating(CCI < -100 and CCI > CCI[1], CCI > 100 and CCI < CCI[1])
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingCCI
float ratingADX = na
if not(na(adxValue) or na(adxPlus[1]) or na(adxMinus[1]) or na(adxPlus) or na(adxMinus))
ratingADX := calcRating(adxValue > 20 and adxPlus[1] < adxMinus[1] and adxPlus > adxMinus, adxValue > 20 and adxPlus[1] > adxMinus[1] and adxPlus < adxMinus)
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingADX
float ratingAO = na
if not(na(ao) or na(ao[1]))
ratingAO := calcRating(ta.crossover(ao,0) or (ao > 0 and ao[1] > 0 and ao > ao[1] and ao[2] > ao[1]), ta.crossunder(ao,0) or (ao < 0 and ao[1] < 0 and ao < ao[1] and ao[2] < ao[1]))
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingAO
float ratingMOM = na
if not(na(Mom) or na(Mom[1]))
ratingMOM := calcRating(Mom > Mom[1], Mom < Mom[1])
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingMOM
float ratingMACD = na
if not(na(macdMACD) or na(signalMACD))
ratingMACD := calcRating(macdMACD > signalMACD, macdMACD < signalMACD)
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingMACD
float ratingStoch_RSI = na
if not(na(DownTrend) or na(UpTrend) or na(Stoch_RSI_K) or na(Stoch_RSI_D) or na(Stoch_RSI_K[1]) or na(Stoch_RSI_D[1]))
ratingStoch_RSI := calcRating(
DownTrend and Stoch_RSI_K < 20 and Stoch_RSI_D < 20 and Stoch_RSI_K > Stoch_RSI_D and Stoch_RSI_K[1] < Stoch_RSI_D[1],
UpTrend and Stoch_RSI_K > 80 and Stoch_RSI_D > 80 and Stoch_RSI_K < Stoch_RSI_D and Stoch_RSI_K[1] > Stoch_RSI_D[1])
if not na(ratingStoch_RSI)
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingStoch_RSI
float ratingWR = na
if not(na(WR) or na(WR[1]))
ratingWR := calcRating(WR < -80 and WR > WR[1], WR > -20 and WR < WR[1])
if not na(ratingWR)
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingWR
float ratingBBPower = na
if not(na(UpTrend) or na(DownTrend) or na(BearPower) or na(BearPower[1]) or na(BullPower) or na(BullPower[1]))
ratingBBPower := calcRating(
UpTrend and BearPower < 0 and BearPower > BearPower[1],
DownTrend and BullPower > 0 and BullPower < BullPower[1])
if not na(ratingBBPower)
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingBBPower
float ratingUO = na
if not(na(UO))
ratingUO := calcRating(UO > 70, UO < 30)
if not na(ratingUO)
ratingOtherC := ratingOtherC + 1
ratingOther := ratingOther + ratingUO
ratingOther := ratingOtherC > 0 ? ratingOther / ratingOtherC : na
float ratingTotal = 0
float ratingTotalC = 0
if not na(ratingMA)
ratingTotal := ratingTotal + ratingMA
ratingTotalC := ratingTotalC + 1
if not na(ratingOther)
ratingTotal := ratingTotal + ratingOther
ratingTotalC := ratingTotalC + 1
ratingTotal := ratingTotalC > 0 ? ratingTotal / ratingTotalC : na
[ratingTotal, ratingOther, ratingMA]
StrongBound = 0.5
WeakBound = 0.1
getSignal(ratingTotal, ratingOther, ratingMA) =>
float _res = ratingTotal
if ratingSignal == "MAs"
_res := ratingMA
if ratingSignal == "Oscillators"
_res := ratingOther
_res
[ratingTotal, ratingOther, ratingMA] = request.security(syminfo.tickerid, res, calcRatingAll())
tradeSignal = getSignal(ratingTotal, ratingOther, ratingMA)
dynSLpoints(factor) => factor * ta.atr(14) / syminfo.mintick
strategy.entry("long", strategy.long, when = tradeSignal > StrongBound)
strategy.entry("short", strategy.short, when = tradeSignal < -StrongBound)
strategy.exit("sl/tp", loss = dynSLpoints(3), trail_points = dynSLpoints(5), trail_offset = dynSLpoints(2))
Overview
Depending on user configuration, trades are triggered by overall composite ratings, moving averages, or oscillator ratings. Position sizing defaults to five percent of equity. The strategy operates directly on the price chart and does not include built-in stop-loss or take-profit rules.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Indicator Timeframe
timeframe
res
Rating is based on
string
All
ratingSignal
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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