//@version=5
//@Author: @GeorgeFreelanceDeveloper, @LucyFreelanceDeveloper
strategy("Supertrend Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=15)
// ********************************
// User defined inputs
// ********************************
var G_BASIC_SETTINGS = "Basic settings"
var G_FILTER_SETTINGS = "Filter settings"
var G_TIME = "Time settings"
atrPeriod = input.int(defval = 10, title = "ATR Length", group = G_BASIC_SETTINGS)
factor = input.float(defval = 3.0, title = "Factor", step = 0.01, group = G_BASIC_SETTINGS)
riskPercentage = input.float(defval = 1.00, title = "Risk per trade", step = 0.01, group = G_BASIC_SETTINGS)
atrMultiplier = input.int(defval = 2, title = "ATR multiplier", group = G_BASIC_SETTINGS)
atrLength = input.int(defval = 20, title = "ATR length", group = G_BASIC_SETTINGS)
enableFilter = input.bool(defval = false, title = "Enable filter", tooltip = "Filter is close price is above 200 day simple moving average of benchmark", group = G_FILTER_SETTINGS)
benchmarkSymbol = input.symbol(defval = "SPX", title = "Benchmark", group = G_FILTER_SETTINGS)
fromDateTime = input.time(defval = timestamp("2012-01-01T01:01+0000"), title = "From Date and time", group = G_TIME)
toDateTime = input.time(defval = timestamp("9999-01-01T01:01+0000"), title = "To Date and time", group = G_TIME)
// ********************************
// Functions
// ********************************
tradeDateIsAllowed() => time >= fromDateTime and time <= toDateTime
// **********************************
// Perform calculations and analysis
// **********************************
// Filter
benchmarkSymbolClose = request.security(benchmarkSymbol,"1D", close)
filter = enableFilter ? benchmarkSymbolClose[1] >= ta.sma(source = benchmarkSymbolClose, length = 200) : true
// Trade amount
qty = ((riskPercentage/100)*strategy.equity) / (atrMultiplier * ta.atr(atrLength))
[superTrendValue, direction] = ta.supertrend(factor, atrPeriod)
buyCondition = ta.change(direction) < 0 and filter and tradeDateIsAllowed() // ta.change(direction) < 0 if ta.change(direction) return -1 then we go long
sellCondition = ta.change(direction) > 0 and tradeDateIsAllowed() // ta.change(direction) > 0 if ta.change(direction) return 1 then we go short
// ********************************
// Draw outputs
// ********************************
//plot(strategy.equity, title="equity", color=color.red, linewidth=2, style=plot.style_areabr)
// ********************************
// Manage trade
// ********************************
if (buyCondition)
strategy.entry("My Long Entry Id", strategy.long,qty = qty)
if (sellCondition)
strategy.close("My Long Entry Id")
Overview
Entry occurs when the Supertrend direction turns bullish, provided the date range and optional benchmark filter are satisfied. The benchmark filter verifies whether a chosen index, such as the SPX, trades above its 200-day simple moving average. Position sizes are determined dynamically based on account equity and ATR volatility. Trades are closed when the Supertrend turns bearish. The strategy overlays on the main chart and relies on reversal exits without hard stop-loss orders.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
ATR Length
int
10
atrPeriod
Factor
float
3.0
factor
Risk per trade
float
1.00
riskPercentage
ATR multiplier
int
2
atrMultiplier
ATR length
int
20
atrLength
Enable filter
bool
false
enableFilter
Benchmark
symbol
SPX
benchmarkSymbol
From Date and time
time
timestamp("2012-01-01T01:01+0000")
fromDateTime
To Date and time
time
timestamp("9999-01-01T01:01+0000")
toDateTime
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.
This strategy calculates Bollinger Bands and Aroon oscillator values to identify mean-reversion opportunities. It enters a long position using full equity when the closing price crosses below the lower Bollinger Band while Aroon Up remains above a user-specifi
This overlay strategy targets one-minute ES futures and plots volume-weighted moving-average bands from the open, scaled by a standard-deviation multiple, plus a slower band from ten-minute opens. A higher-timeframe exponential moving average can filter trades
This strategy uses multiple VWAP anchors and a custom Lull indicator to generate buy and sell signals on the Nasdaq price chart. It plots the VWAP trend line and three VWAP anchors with customizable colors and mitigation methods. The Lull indicator produces si
STRG-BBForce is a Bollinger Bands trend-following strategy. It calculates standard Bollinger Bands and tracks directional alignment across the upper, lower, and basis lines. When all three lines slope upward, it opens a long position and closes short positions
This strategy implements a single-layer perceptron machine learning model built from scratch to generate trading signals directly on the price chart. It calculates predictions based on sample size, threshold settings, and optional volatility or volume filters.
This overlay strategy plots a two-timeframe Ichimoku setup on the price chart, with Tenkan, Kijun, Chikou, and Kumo from a base higher timeframe and an optional highest-timeframe cloud. It allows two entries in the same direction and uses ATR-based trailing st