NSE Index Strategy with Entry Exit Markers
This strategy goes long when price is above a trend SMA and the RSI crosses above an oversold level. An ATR-based stop loss and take profit manage the position.
Details
- Entry Criteria:
- Long: price is above the SMA and RSI crosses upward above the oversold level.
- Long/Short: Long only.
- Exit Criteria:
- close the long position when price hits ATR-based stop or take profit.
- Stops: ATR-based stop loss and take profit.
- Default Values:
SmaPeriod= 200.RsiPeriod= 14.RsiOversold= 40.AtrPeriod= 14.AtrMultiplier= 1.5.CandleType= TimeSpan.FromMinutes(5).TimeFrame().
- Filters:
- Category: Trend
- Direction: Long
- Indicators: SMA, RSI, ATR
- Stops: ATR-based
- Complexity: Basic
- Timeframe: Daily
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk level: Medium
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Long-only strategy that buys when price is above the trend SMA and RSI crosses above the oversold level.
/// ATR-based stop loss and take profit manage the position.
/// </summary>
public class NseIndexWithEntryExitMarkersStrategy : Strategy
{
private readonly StrategyParam<int> _smaPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<DataType> _candleType;
private decimal _stopLoss;
private decimal _takeProfit;
private decimal _prevRsi;
private bool _isRsiInitialized;
private DateTimeOffset _lastSignal = DateTimeOffset.MinValue;
public int SmaPeriod
{
get => _smaPeriod.Value;
set => _smaPeriod.Value = value;
}
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
public decimal RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public NseIndexWithEntryExitMarkersStrategy()
{
_smaPeriod = Param(nameof(SmaPeriod), 200);
_rsiPeriod = Param(nameof(RsiPeriod), 14);
_rsiOversold = Param(nameof(RsiOversold), 25m);
_atrPeriod = Param(nameof(AtrPeriod), 14);
_atrMultiplier = Param(nameof(AtrMultiplier), 4m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_stopLoss = 0m;
_takeProfit = 0m;
_prevRsi = 0m;
_isRsiInitialized = false;
_lastSignal = DateTimeOffset.MinValue;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_stopLoss = 0m;
_takeProfit = 0m;
_prevRsi = 0m;
_isRsiInitialized = false;
_lastSignal = DateTimeOffset.MinValue;
var sma = new SimpleMovingAverage { Length = SmaPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, rsi, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue, decimal rsiValue, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
var cooldown = TimeSpan.FromMinutes(480);
if (Position > 0 && candle.OpenTime - _lastSignal >= cooldown)
{
if (candle.LowPrice <= _stopLoss || candle.HighPrice >= _takeProfit)
{
SellMarket();
_stopLoss = 0m;
_takeProfit = 0m;
_lastSignal = candle.OpenTime;
}
}
if (!_isRsiInitialized)
{
_prevRsi = rsiValue;
_isRsiInitialized = true;
return;
}
var inUptrend = candle.ClosePrice > smaValue;
var crossUp = _prevRsi <= RsiOversold && rsiValue > RsiOversold;
if (inUptrend && crossUp && Position <= 0 && candle.OpenTime - _lastSignal >= cooldown)
{
BuyMarket();
_stopLoss = candle.ClosePrice - AtrMultiplier * atrValue;
_takeProfit = candle.ClosePrice + AtrMultiplier * atrValue;
_lastSignal = candle.OpenTime;
}
_prevRsi = rsiValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage, RelativeStrengthIndex, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class nse_index_with_entry_exit_markers_strategy(Strategy):
def __init__(self):
super(nse_index_with_entry_exit_markers_strategy, self).__init__()
self._sma_period = self.Param("SmaPeriod", 200)
self._rsi_period = self.Param("RsiPeriod", 14)
self._rsi_oversold = self.Param("RsiOversold", 25.0)
self._atr_period = self.Param("AtrPeriod", 14)
self._atr_multiplier = self.Param("AtrMultiplier", 4.0)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._stop_loss = 0.0
self._take_profit = 0.0
self._prev_rsi = 0.0
self._is_rsi_initialized = False
self._last_signal_ticks = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(nse_index_with_entry_exit_markers_strategy, self).OnReseted()
self._stop_loss = 0.0
self._take_profit = 0.0
self._prev_rsi = 0.0
self._is_rsi_initialized = False
self._last_signal_ticks = 0
def OnStarted2(self, time):
super(nse_index_with_entry_exit_markers_strategy, self).OnStarted2(time)
self._stop_loss = 0.0
self._take_profit = 0.0
self._prev_rsi = 0.0
self._is_rsi_initialized = False
self._last_signal_ticks = 0
self._sma = SimpleMovingAverage()
self._sma.Length = self._sma_period.Value
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self._rsi_period.Value
self._atr = AverageTrueRange()
self._atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._sma, self._rsi, self._atr, self.OnProcess).Start()
def OnProcess(self, candle, sma_value, rsi_value, atr_value):
if candle.State != CandleStates.Finished:
return
sv = float(sma_value)
rv = float(rsi_value)
av = float(atr_value)
close = float(candle.ClosePrice)
low = float(candle.LowPrice)
high = float(candle.HighPrice)
cooldown_ticks = TimeSpan.FromMinutes(480).Ticks
current_ticks = candle.OpenTime.Ticks
if self.Position > 0 and current_ticks - self._last_signal_ticks >= cooldown_ticks:
if low <= self._stop_loss or high >= self._take_profit:
self.SellMarket()
self._stop_loss = 0.0
self._take_profit = 0.0
self._last_signal_ticks = current_ticks
if not self._is_rsi_initialized:
self._prev_rsi = rv
self._is_rsi_initialized = True
return
os_level = float(self._rsi_oversold.Value)
in_uptrend = close > sv
cross_up = self._prev_rsi <= os_level and rv > os_level
am = float(self._atr_multiplier.Value)
if in_uptrend and cross_up and self.Position <= 0 and current_ticks - self._last_signal_ticks >= cooldown_ticks:
self.BuyMarket()
self._stop_loss = close - am * av
self._take_profit = close + am * av
self._last_signal_ticks = current_ticks
self._prev_rsi = rv
def CreateClone(self):
return nse_index_with_entry_exit_markers_strategy()