MA Crossover Demand Supply Zones SLTP 策略
该策略将长短期简单移动平均线交叉与需求/供应区结合。当交叉发生在最近确认的需求区或供应区附近时入场,并以固定百分比的止损和止盈管理仓位。
细节
- 入场条件:
- 多头:短期SMA在需求区附近上穿长期SMA。
- 空头:短期SMA在供应区附近下穿长期SMA。
- 方向:双向。
- 出场条件:
- 价格触及止盈或止损。
- 止损:按百分比的止损和止盈。
- 默认值:
ShortMaLength= 9LongMaLength= 21ZoneLookback= 50ZoneStrength= 2StopLossPercent= 1TakeProfitPercent= 2
- 过滤器:
- 类别:趋势跟随
- 方向:双向
- 指标:SMA, Highest, Lowest
- 止损:是
- 复杂度:基础
- 时间框架:任意
- 季节性:否
- 神经网络:否
- 背离:否
- 风险等级:中
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// MA crossover with demand/supply zone proximity and SL/TP.
/// </summary>
public class MaCrossoverDemandSupplyZonesSltpStrategy : Strategy
{
private readonly StrategyParam<int> _shortMaLength;
private readonly StrategyParam<int> _longMaLength;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<decimal> _takeProfitPercent;
private readonly StrategyParam<DataType> _candleType;
private ExponentialMovingAverage _shortMa;
private ExponentialMovingAverage _longMa;
private decimal _prevShort;
private decimal _prevLong;
private bool _initialized;
private decimal _entryPrice;
private int _cooldown;
public int ShortMaLength { get => _shortMaLength.Value; set => _shortMaLength.Value = value; }
public int LongMaLength { get => _longMaLength.Value; set => _longMaLength.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
public decimal TakeProfitPercent { get => _takeProfitPercent.Value; set => _takeProfitPercent.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MaCrossoverDemandSupplyZonesSltpStrategy()
{
_shortMaLength = Param(nameof(ShortMaLength), 9).SetGreaterThanZero()
.SetDisplay("Short MA", "Short MA period", "Indicators");
_longMaLength = Param(nameof(LongMaLength), 21).SetGreaterThanZero()
.SetDisplay("Long MA", "Long MA period", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 7m).SetGreaterThanZero()
.SetDisplay("SL %", "Stop loss percent", "Risk");
_takeProfitPercent = Param(nameof(TakeProfitPercent), 10m).SetGreaterThanZero()
.SetDisplay("TP %", "Take profit percent", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(20).TimeFrame())
.SetDisplay("Candle Type", "Candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevShort = default;
_prevLong = default;
_initialized = false;
_entryPrice = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_shortMa = new ExponentialMovingAverage { Length = ShortMaLength };
_longMa = new ExponentialMovingAverage { Length = LongMaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_shortMa, _longMa, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _shortMa);
DrawIndicator(area, _longMa);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal shortMa, decimal longMa)
{
if (candle.State != CandleStates.Finished)
return;
if (!_shortMa.IsFormed || !_longMa.IsFormed)
return;
if (!_initialized)
{
_prevShort = shortMa;
_prevLong = longMa;
_initialized = true;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevShort = shortMa;
_prevLong = longMa;
return;
}
var crossUp = _prevShort <= _prevLong && shortMa > longMa;
var crossDown = _prevShort >= _prevLong && shortMa < longMa;
if (crossUp && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_entryPrice = candle.ClosePrice;
_cooldown = 10;
}
else if (crossDown && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_entryPrice = candle.ClosePrice;
_cooldown = 10;
}
// SL/TP for long
if (Position > 0 && _entryPrice > 0)
{
var sl = _entryPrice * (1m - StopLossPercent / 100m);
var tp = _entryPrice * (1m + TakeProfitPercent / 100m);
if (candle.ClosePrice <= sl || candle.ClosePrice >= tp)
{
SellMarket();
_entryPrice = 0;
_cooldown = 15;
}
}
// SL/TP for short
else if (Position < 0 && _entryPrice > 0)
{
var sl = _entryPrice * (1m + StopLossPercent / 100m);
var tp = _entryPrice * (1m - TakeProfitPercent / 100m);
if (candle.ClosePrice >= sl || candle.ClosePrice <= tp)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 15;
}
}
_prevShort = shortMa;
_prevLong = longMa;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class ma_crossover_demand_supply_zones_sltp_strategy(Strategy):
def __init__(self):
super(ma_crossover_demand_supply_zones_sltp_strategy, self).__init__()
self._short_ma_length = self.Param("ShortMaLength", 9) \
.SetGreaterThanZero() \
.SetDisplay("Short MA", "Short MA period", "Indicators")
self._long_ma_length = self.Param("LongMaLength", 21) \
.SetGreaterThanZero() \
.SetDisplay("Long MA", "Long MA period", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 7.0) \
.SetGreaterThanZero() \
.SetDisplay("SL %", "Stop loss percent", "Risk")
self._take_profit_percent = self.Param("TakeProfitPercent", 10.0) \
.SetGreaterThanZero() \
.SetDisplay("TP %", "Take profit percent", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(20))) \
.SetDisplay("Candle Type", "Candles", "General")
self._prev_short = 0.0
self._prev_long = 0.0
self._initialized = False
self._entry_price = 0.0
self._cooldown = 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(ma_crossover_demand_supply_zones_sltp_strategy, self).OnReseted()
self._prev_short = 0.0
self._prev_long = 0.0
self._initialized = False
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(ma_crossover_demand_supply_zones_sltp_strategy, self).OnStarted2(time)
self._prev_short = 0.0
self._prev_long = 0.0
self._initialized = False
self._entry_price = 0.0
self._cooldown = 0
self._short_ma = ExponentialMovingAverage()
self._short_ma.Length = self._short_ma_length.Value
self._long_ma = ExponentialMovingAverage()
self._long_ma.Length = self._long_ma_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._short_ma, self._long_ma, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._short_ma)
self.DrawIndicator(area, self._long_ma)
self.DrawOwnTrades(area)
def OnProcess(self, candle, short_ma, long_ma):
if candle.State != CandleStates.Finished:
return
if not self._short_ma.IsFormed or not self._long_ma.IsFormed:
return
sv = float(short_ma)
lv = float(long_ma)
if not self._initialized:
self._prev_short = sv
self._prev_long = lv
self._initialized = True
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_short = sv
self._prev_long = lv
return
close = float(candle.ClosePrice)
cross_up = self._prev_short <= self._prev_long and sv > lv
cross_down = self._prev_short >= self._prev_long and sv < lv
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 10
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 10
sl_pct = float(self._stop_loss_percent.Value) / 100.0
tp_pct = float(self._take_profit_percent.Value) / 100.0
if self.Position > 0 and self._entry_price > 0.0:
sl = self._entry_price * (1.0 - sl_pct)
tp = self._entry_price * (1.0 + tp_pct)
if close <= sl or close >= tp:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 15
elif self.Position < 0 and self._entry_price > 0.0:
sl = self._entry_price * (1.0 + sl_pct)
tp = self._entry_price * (1.0 - tp_pct)
if close >= sl or close <= tp:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 15
self._prev_short = sv
self._prev_long = lv
def CreateClone(self):
return ma_crossover_demand_supply_zones_sltp_strategy()