AK47 A1
移植自 MetaTrader 专家顾问“AK47_A1”。策略通过比尔·威廉姆斯的鳄鱼指标、DeMarker 振荡器、威廉指标以及分形信号,在市场脱离盘整时才参与交易。
细节
- 数据:使用
CandleType指定的价格蜡烛。 - 指标:
- 鳄鱼的下颚/牙齿/嘴唇分别为 13/8/5 周期的平滑均线,向前平移 8/5/3 个柱子,并使用中价计算。
- DeMarker(周期 13)在多头信号时需 ≥ 0.5,空头信号时需 ≤ 0.5。
- Williams %R(周期 14)被归一化到
[0,1],上一根柱子必须处于 0.25 与 0.75 之间以避免过度买入或卖出。 - 分形从最近 5 个高低点中识别,信号在 3 根柱子内有效。
- 入场条件:
- 鳄鱼三条线之间的距离都至少达到
SpanGatorPoints点数(无论方向)。 - 做多:最新的下方分形仍有效,DeMarker ≥ 0.5,并且 Williams %R 过滤器允许交易。
- 做空:最新的上方分形仍有效,DeMarker ≤ 0.5,并且 Williams %R 过滤器允许交易。
- 开新仓前会平掉相反方向的持仓。
- 鳄鱼三条线之间的距离都至少达到
- 出场条件:
- 根据
StopLossPoints与TakeProfitPoints(通过合约最小步长转换成价格)设置的固定止损与止盈。 - 可选的
TrailingStopPoints点跟踪止损,当行情向有利方向发展时沿收盘价移动。 - 出现反向信号时,先平掉当前仓位再开新仓。
- 根据
- 默认参数:
SpanGatorPoints= 0.5TakeProfitPoints= 100StopLossPoints= 0(关闭)TrailingStopPoints= 50CandleType= 1 小时蜡烛
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// AK47 A1 strategy - Alligator-like triple SMA crossover.
/// Buys when fast SMA crosses above medium and medium is above slow.
/// Sells when fast SMA crosses below medium and medium is below slow.
/// </summary>
public class AK47A1Strategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _medPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevMed;
private bool _hasPrev;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int MedPeriod { get => _medPeriod.Value; set => _medPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public AK47A1Strategy()
{
_fastPeriod = Param(nameof(FastPeriod), 5)
.SetDisplay("Fast SMA", "Lips period", "Indicators");
_medPeriod = Param(nameof(MedPeriod), 8)
.SetDisplay("Medium SMA", "Teeth period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 13)
.SetDisplay("Slow SMA", "Jaw period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
protected override void OnReseted() { base.OnReseted(); _prevFast = 0m; _prevMed = 0m; _hasPrev = false; }
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var fast = new SimpleMovingAverage { Length = FastPeriod };
var med = new SimpleMovingAverage { Length = MedPeriod };
var slow = new SimpleMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, med, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal med, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hasPrev)
{
_prevFast = fast;
_prevMed = med;
_hasPrev = true;
return;
}
if (_prevFast <= _prevMed && fast > med && med > slow && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
else if (_prevFast >= _prevMed && fast < med && med < slow && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevFast = fast;
_prevMed = med;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class ak47_a1_strategy(Strategy):
def __init__(self):
super(ak47_a1_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 5).SetDisplay("Fast SMA", "Lips period", "Indicators")
self._med_period = self.Param("MedPeriod", 8).SetDisplay("Medium SMA", "Teeth period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 13).SetDisplay("Slow SMA", "Jaw period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))).SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_fast = 0.0; self._prev_med = 0.0; self._has_prev = False
@property
def fast_period(self): return self._fast_period.Value
@property
def med_period(self): return self._med_period.Value
@property
def slow_period(self): return self._slow_period.Value
@property
def candle_type(self): return self._candle_type.Value
def OnReseted(self):
super(ak47_a1_strategy, self).OnReseted()
self._prev_fast = 0.0; self._prev_med = 0.0; self._has_prev = False
def OnStarted2(self, time):
super(ak47_a1_strategy, self).OnStarted2(time)
self._has_prev = False
fast = SimpleMovingAverage(); fast.Length = self.fast_period
med = SimpleMovingAverage(); med.Length = self.med_period
slow = SimpleMovingAverage(); slow.Length = self.slow_period
sub = self.SubscribeCandles(self.candle_type)
sub.Bind(fast, med, slow, self.process_candle).Start()
def process_candle(self, candle, fast, med, slow):
if candle.State != CandleStates.Finished: return
f = float(fast); m = float(med); s = float(slow)
if not self._has_prev: self._prev_fast = f; self._prev_med = m; self._has_prev = True; return
if self._prev_fast <= self._prev_med and f > m and m > s and self.Position <= 0:
if self.Position < 0: self.BuyMarket()
self.BuyMarket()
elif self._prev_fast >= self._prev_med and f < m and m < s and self.Position >= 0:
if self.Position > 0: self.SellMarket()
self.SellMarket()
self._prev_fast = f; self._prev_med = m
def CreateClone(self): return ak47_a1_strategy()