Moving Average Shift WaveTrend 策略
该策略结合可配置移动平均线和类 WaveTrend 振荡器。 当价格高于均线且振荡器上升时做多,长期 EMA 与波动率过滤器确认趋势; 相反条件下做空。 头寸由百分比止损、止盈和追踪止损保护。
细节
- 入场条件:
- 多头: 价格高于 MA,振荡器 > 0 且上升,长期趋势向上,ATR 高于其平均值,处于交易时间,且当前不在波中。
- 空头: 价格低于 MA,振荡器 < 0 且下降,长期趋势向下,ATR 高于其平均值,处于交易时间,且当前不在波中。
- 多头/空头: 双向。
- 出场条件:
- 振荡器反转并与 MA 交叉,或触发追踪止损,或保护性止损/止盈。
- 止损: 是。
- 默认值:
MaType= SMAMaLength= 40OscLength= 15TakeProfitPercent= 1.5StopLossPercent= 1TrailPercent= 1LongMaLength= 200AtrLength= 14StartHour= 9EndHour= 17
- 筛选:
- 分类: Trend
- 方向: Both
- 指标: MA, Hull MA, ATR
- 止损: Yes
- 复杂度: Intermediate
- 时间框架: Medium-term
using System;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Moving Average Shift WaveTrend Strategy.
/// Uses EMA crossover with momentum oscillator.
/// </summary>
public class MovingAverageShiftWaveTrendStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<decimal> _minSpreadPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
private int _barIndex;
private int _lastTradeBar = -1000000;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public decimal MinSpreadPercent { get => _minSpreadPercent.Value; set => _minSpreadPercent.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MovingAverageShiftWaveTrendStrategy()
{
_fastLength = Param(nameof(FastLength), 8).SetGreaterThanZero();
_slowLength = Param(nameof(SlowLength), 21).SetGreaterThanZero();
_cooldownBars = Param(nameof(CooldownBars), 6).SetGreaterThanZero();
_minSpreadPercent = Param(nameof(MinSpreadPercent), 0.01m).SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
_barIndex = 0;
_lastTradeBar = -1000000;
var fast = new ExponentialMovingAverage { Length = FastLength };
var slow = new ExponentialMovingAverage { Length = SlowLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
if (!_hasPrev)
{
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
return;
}
var spreadPercent = candle.ClosePrice != 0m
? Math.Abs(fast - slow) / candle.ClosePrice * 100m
: 0m;
var canTrade = _barIndex - _lastTradeBar >= CooldownBars;
var crossUp = _prevFast <= _prevSlow && fast > slow && spreadPercent >= MinSpreadPercent;
var crossDown = _prevFast >= _prevSlow && fast < slow && spreadPercent >= MinSpreadPercent;
if (canTrade && crossUp && Position <= 0)
{
BuyMarket();
_lastTradeBar = _barIndex;
}
else if (canTrade && crossDown && Position >= 0)
{
SellMarket();
_lastTradeBar = _barIndex;
}
_prevFast = fast;
_prevSlow = slow;
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
_hasPrev = false;
_barIndex = 0;
_lastTradeBar = -1000000;
}
}
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 moving_average_shift_wave_trend_strategy(Strategy):
"""
Moving average shift wave trend: EMA crossover with min spread filter.
"""
def __init__(self):
super(moving_average_shift_wave_trend_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 8).SetDisplay("Fast", "Fast EMA", "Indicators")
self._slow_length = self.Param("SlowLength", 21).SetDisplay("Slow", "Slow EMA", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 6).SetDisplay("Cooldown", "Min bars between entries", "Risk")
self._min_spread_pct = self.Param("MinSpreadPercent", 0.01).SetDisplay("Min Spread %", "Min spread pct", "Signals")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._bar_index = 0
self._last_trade_bar = -1000000
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(moving_average_shift_wave_trend_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._bar_index = 0
self._last_trade_bar = -1000000
def OnStarted2(self, time):
super(moving_average_shift_wave_trend_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self._fast_length.Value
slow = ExponentialMovingAverage()
slow.Length = self._slow_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def _process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
close = float(candle.ClosePrice)
self._bar_index += 1
if not self._has_prev:
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
return
spread_pct = abs(fast - slow) / close * 100.0 if close != 0 else 0.0
can_trade = self._bar_index - self._last_trade_bar >= self._cooldown_bars.Value
min_spread = float(self._min_spread_pct.Value)
cross_up = self._prev_fast <= self._prev_slow and fast > slow and spread_pct >= min_spread
cross_down = self._prev_fast >= self._prev_slow and fast < slow and spread_pct >= min_spread
if can_trade and cross_up and self.Position <= 0:
self.BuyMarket()
self._last_trade_bar = self._bar_index
elif can_trade and cross_down and self.Position >= 0:
self.SellMarket()
self._last_trade_bar = self._bar_index
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return moving_average_shift_wave_trend_strategy()