MultiLayer Acceleration Deceleration Strategy
该策略利用Acceleration/Deceleration振荡器分层建立最多五个多头仓位。每当动能沿趋势增强时,在当前K线最高价之上挂出新的买入止损单。当振荡器走弱或趋势反转时,所有挂单被取消并平仓。
细节
- 入场条件:
- 价格突破位于鳄鱼牙线之上的上方分形。
- AC振荡器出现绿色柱形且收盘价高于EMA过滤线。
- 多空方向:仅做多。
- 离场条件:
- 趋势转为下行。
- 振荡器变为负值。
- 止损:基于分形。
- 默认值:
EMA Length= 100。
- 过滤器:
- 类别:趋势跟随
- 方向:多头
- 指标:多个
- 止损:有
- 复杂度:复杂
- 时间框架:中期
- 季节性:无
- 神经网络:无
- 背离:无
- 风险级别:中等
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class MultiLayerAccelerationDecelerationStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MultiLayerAccelerationDecelerationStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame());
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 10 };
var slow = new ExponentialMovingAverage { Length = 30 };
var rsi = new RelativeStrengthIndex { Length = 14 };
var prevF = 0m; var prevS = 0m; var init = false;
var sub = SubscribeCandles(CandleType);
sub.Bind(fast, slow, rsi, (c, f, s, r) =>
{
if (c.State != CandleStates.Finished || !fast.IsFormed || !slow.IsFormed || !rsi.IsFormed) return;
if (!init) { prevF = f; prevS = s; init = true; return; }
if (prevF <= prevS && f > s && r > 45 && Position <= 0) BuyMarket();
else if (prevF >= prevS && f < s && r < 55 && Position > 0) SellMarket();
prevF = f; prevS = s;
}).Start();
var area = CreateChartArea();
if (area != null) { DrawCandles(area, sub); DrawIndicator(area, fast); DrawIndicator(area, slow); DrawOwnTrades(area); }
}
}
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, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class multi_layer_acceleration_deceleration_strategy(Strategy):
def __init__(self):
super(multi_layer_acceleration_deceleration_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15)))
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
@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(multi_layer_acceleration_deceleration_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
def OnStarted2(self, time):
super(multi_layer_acceleration_deceleration_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._fast = ExponentialMovingAverage()
self._fast.Length = 10
self._slow = ExponentialMovingAverage()
self._slow.Length = 30
self._rsi = RelativeStrengthIndex()
self._rsi.Length = 14
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast, self._slow, self._rsi, self.OnProcess).Start()
def OnProcess(self, candle, f, s, r):
if candle.State != CandleStates.Finished:
return
if not self._fast.IsFormed or not self._slow.IsFormed or not self._rsi.IsFormed:
return
fv = float(f)
sv = float(s)
rv = float(r)
if not self._initialized:
self._prev_fast = fv
self._prev_slow = sv
self._initialized = True
return
if self._prev_fast <= self._prev_slow and fv > sv and rv > 45.0 and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fv < sv and rv < 55.0 and self.Position > 0:
self.SellMarket()
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return multi_layer_acceleration_deceleration_strategy()