//@version=6
// Stochastic Cross + EMA Filter — Pine Script v6
// github.com/trugurpala/pinescriptv6 — Author: Ugur Pala
//
// NOT: ta.stoch() v6'da sadece K değerini döndürür (float).
// D için K'nın SMA'sını al.
// NOTE: ta.stoch() returns only K (float) in v6. D = SMA of K.
strategy("Stoch Strategy [trugurpala]",
overlay = true,
initial_capital = 10000,
default_qty_type = strategy.percent_of_equity,
default_qty_value = 10,
commission_type = strategy.commission.percent,
commission_value = 0.1)
// ── Inputs ───────────────────────────────────────────────────────────────────
int stochLen = input.int(14, "Stoch Length", minval=1)
int kSmooth = input.int(3, "K Smooth", minval=1)
int dSmooth = input.int(3, "D Smooth", minval=1)
float obLevel = input.float(80, "OB", minval=60, maxval=95)
float osLevel = input.float(20, "OS", minval=5, maxval=40)
int emaLen = input.int(200, "Filter EMA", minval=1)
int atrLen = input.int(14, "ATR Length", minval=1)
float slMult = input.float(1.5, "SL Mult", step=0.1)
float tpMult = input.float(2.5, "TP Mult", step=0.1)
// ── Calculations ─────────────────────────────────────────────────────────────
// v6: ta.stoch() sadece K döndürür / returns only K
float rawK = ta.stoch(high, low, close, stochLen)
float k = ta.sma(rawK, kSmooth) // K düzleştirme / K smoothing
float d = ta.sma(k, dSmooth) // D = K'nın SMA'sı / D = SMA of K
float emaVal = ta.ema(close, emaLen)
float atrVal = ta.atr(atrLen)
bool longEntry = ta.crossover(k, d) and k < osLevel and close > emaVal
bool shortEntry = ta.crossunder(k, d) and k > obLevel and close < emaVal
// ── Entries ──────────────────────────────────────────────────────────────────
if longEntry
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", "Long",
stop = close - slMult * atrVal,
limit = close + tpMult * atrVal)
if shortEntry
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", "Short",
stop = close + slMult * atrVal,
limit = close - tpMult * atrVal)
// ── Visuals ──────────────────────────────────────────────────────────────────
plot(emaVal, "EMA Filter", color.new(color.orange, 20), linewidth=2)
plotshape(longEntry, "Long", shape.triangleup, location.belowbar, color.green, size=size.normal)
plotshape(shortEntry, "Short", shape.triangledown, location.abovebar, color.red, size=size.normal)
Overview
Stoch Strategy [trugurpala] calculates smoothed %K and %D lines alongside an Exponential Moving Average (EMA). A long signal triggers when %K crosses above %D in oversold territory while price remains above the EMA filter. A short signal fires when %K crosses below %D in overbought territory while price is below the EMA. Positions close using dynamic ATR multipliers for stop loss and take profit levels. The strategy plots the EMA trend line and entry signals on the main chart.
Stochastic crossover with overbought and oversold thresholds
EMA trend filter for direction confirmation
ATR-based dynamic stop loss and take profit targets
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Stoch Length
int
14
stochLen
K Smooth
int
3
kSmooth
D Smooth
int
3
dSmooth
OB
float
80
obLevel
OS
float
20
osLevel
Filter EMA
int
200
emaLen
ATR Length
int
14
atrLen
SL Mult
float
1.5
slMult
TP Mult
float
2.5
tpMult
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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