FlexiMA Variance Tracker 策略
跟踪价格相对于移动平均线的偏差,当偏差超过波动阈值且 SuperTrend 方向确认时开仓。
细节
- 入场条件:
- 价格高于 SuperTrend 且偏差 > 平均值 + 标准差 × 系数 → 做多。
- 价格低于 SuperTrend 且偏差 < -(平均值 + 标准差 × 系数) → 做空。
- 多/空:支持双向交易。
- 出场条件:
- 相反偏差或 SuperTrend 反转。
- 止损:默认无止损逻辑。
- 默认参数:
- MA 长度 = 20。
- StdDev 长度 = 20。
- StdDev 系数 = 1.0。
- ATR 周期 = 10。
- ATR 系数 = 3.0。
- 过滤器:
- 类别:趋势跟随
- 方向:双向
- 指标:SMA、StandardDeviation、SuperTrend
- 止损:无
- 复杂度:中
- 时间框架:任意
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
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;
public class FlexiMaVarianceTrackerStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFastEma;
private decimal _prevSlowEma;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public FlexiMaVarianceTrackerStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fastEma, slowEma, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
{
if (candle.State != CandleStates.Finished) return;
if (_prevFastEma == 0m || _prevSlowEma == 0m)
{
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
return;
}
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
BuyMarket();
else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
SellMarket();
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
}
}
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 flexi_ma_variance_tracker_strategy(Strategy):
"""
FlexiMaVarianceTracker: EMA crossover strategy.
Buys when fast EMA crosses above slow EMA, sells on reverse.
"""
def __init__(self):
super(flexi_ma_variance_tracker_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 120) .SetDisplay("Fast EMA", "Fast EMA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 450) .SetDisplay("Slow EMA", "Slow EMA period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) .SetDisplay("Candle Type", "Time frame for candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(flexi_ma_variance_tracker_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
def OnStarted2(self, time):
super(flexi_ma_variance_tracker_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self._fast_period.Value
slow = ExponentialMovingAverage()
slow.Length = self._slow_period.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_v = float(fast_val)
slow_v = float(slow_val)
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return flexi_ma_variance_tracker_strategy()