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ABE BE 随机指标吞没策略
该策略把 MetaTrader 顾问 Expert_ABE_BE_Stoch 迁移到 StockSharp 的高级 API。它结合日本蜡烛图与随机指标动量,用于捕捉超买/超卖区域附近的反转。当检测到被随机指标 %D 线强力确认的看涨吞没或看跌吞没形态时触发开仓;仓位建立后,再利用随机指标越过 20 与 80 的阈值来管理离场,完整复刻原始 MQL 专家的“投票”机制。
策略支持做多与做空,并且只在蜡烛收盘后计算信号,从而避免盘中噪声。仓位规模由基础策略的 Volume 控制,可选的止损/止盈参数会把以点数表示的距离转换为 UnitTypes.Price 类型的 Unit 对象,交给 StartProtection 执行。
工作流程
- 订阅数据 – 按照设定的蜡烛类型创建订阅,并初始化带有
%K、%D 和减速参数的 StochasticOscillator。
- 识别形态 – 每当蜡烛收盘,判断当前蜡烛的实体是否完全吞没上一根蜡烛的实体。两个辅助方法重现了 MetaTrader 中对看涨/看跌吞没的判定方式。
- 动量确认 – 随机指标
%D 作为过滤器:如果 %D 低于超卖阈值(默认 30),并出现看涨吞没,则允许做多;若 %D 高于超买阈值(默认 70),并出现看跌吞没,则允许做空。
- 仓位管理 – 缓存上一根蜡烛的
%D 值。若当前 %D 向上穿越 20 或 80,则平掉所有空单;若向下穿越 80 或 20,则平掉所有多单。这与原程序中额外的“平仓票数”完全一致。
- 风险控制 – 当
StopLossPoints 或 TakeProfitPoints 大于零时,将距离(以最小报价步长为单位)转换成绝对价格,传给 StartProtection(takeProfit, stopLoss);否则调用 StartProtection() 启用默认保护。
交易规则
- 做多入场:上一根蜡烛收跌、当前蜡烛收涨,并且当前蜡烛的实体完全覆盖前一根实体,同时
%D 低于 EntryOversoldLevel(默认 30)。如果存在空单则先平仓,然后通过 BuyMarket 建立或翻多。
- 做空入场:上一根蜡烛收涨、当前蜡烛收跌,且当前实体吞没上一根实体,同时
%D 高于 EntryOverboughtLevel(默认 70)。如果存在多单则先平仓,然后通过 SellMarket 建立或翻空。
- 多单离场:持有多单时,只要
%D 向下穿越 ExitUpperLevel(默认 80)或 ExitLowerLevel(默认 20),立即用 SellMarket 全部平仓。
- 空单离场:持有空单时,
%D 向上穿越 ExitLowerLevel 或 ExitUpperLevel 时,通过 BuyMarket 平仓。
- 止损/止盈:
StopLossPoints 和 TakeProfitPoints 以报价步长为单位,0 表示不开启相应的保护。
参数
| 名称 |
类型 |
默认值 |
说明 |
CandleType |
DataType |
TimeSpan.FromHours(1).TimeFrame() |
用于检测形态的蜡烛数据源。 |
StochasticPeriodK |
int |
47 |
随机指标 %K 的回溯周期。 |
StochasticPeriodD |
int |
9 |
%D 信号线的平滑周期。 |
StochasticPeriodSlow |
int |
13 |
对 %K 施加的额外平滑(减速因子)。 |
EntryOversoldLevel |
decimal |
30 |
允许做多信号的 %D 上限。 |
EntryOverboughtLevel |
decimal |
70 |
允许做空信号的 %D 下限。 |
ExitLowerLevel |
decimal |
20 |
%D 上穿时平空、下穿时平多的下限阈值。 |
ExitUpperLevel |
decimal |
80 |
%D 上穿或下穿时触发平仓的上限阈值。 |
TakeProfitPoints |
decimal |
0 |
以报价步长表示的止盈距离(0 关闭止盈)。 |
StopLossPoints |
decimal |
0 |
以报价步长表示的止损距离(0 关闭止损)。 |
备注
- 默认使用 1 小时蜡烛,但策略适用于任何提供 OHLC 数据的品种。
- 所有计算都基于收盘蜡烛,与原版 MQL 专家的节奏完全一致。
- 仓位规模建议通过
Volume 或更高层的资金管理模块进行配置。
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// ABE BE Stoch strategy: Engulfing pattern with Stochastic confirmation.
/// Bullish engulfing + oversold stochastic for long, bearish engulfing + overbought for short.
/// </summary>
public class AbeBeStochStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _stochPeriod;
private readonly StrategyParam<decimal> _oversold;
private readonly StrategyParam<decimal> _overbought;
private readonly StrategyParam<int> _signalCooldownCandles;
private readonly List<ICandleMessage> _candles = new();
private decimal _prevK;
private bool _hasPrevK;
private int _candlesSinceTrade;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int StochPeriod { get => _stochPeriod.Value; set => _stochPeriod.Value = value; }
public decimal Oversold { get => _oversold.Value; set => _oversold.Value = value; }
public decimal Overbought { get => _overbought.Value; set => _overbought.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public AbeBeStochStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_stochPeriod = Param(nameof(StochPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Stoch Period", "Stochastic K period", "Indicators");
_oversold = Param(nameof(Oversold), 30m)
.SetDisplay("Oversold", "Stochastic oversold level", "Signals");
_overbought = Param(nameof(Overbought), 70m)
.SetDisplay("Overbought", "Stochastic overbought level", "Signals");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 6)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_candles.Clear();
_prevK = 0m;
_hasPrevK = false;
_candlesSinceTrade = SignalCooldownCandles;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candles.Clear();
_hasPrevK = false;
_candlesSinceTrade = SignalCooldownCandles;
var stoch = new StochasticOscillator { K = { Length = StochPeriod }, D = { Length = 3 } };
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(stoch, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue stochValue)
{
if (candle.State != CandleStates.Finished) return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
var stochTyped = stochValue as StochasticOscillatorValue;
if (stochTyped?.K is not decimal kValue) return;
_candles.Add(candle);
if (_candles.Count > 5)
_candles.RemoveAt(0);
if (_candles.Count >= 2)
{
var curr = _candles[^1];
var prev = _candles[^2];
// Bullish engulfing: prev bearish, curr bullish, curr body engulfs prev body
var bullishEngulfing = prev.OpenPrice > prev.ClosePrice
&& curr.ClosePrice > curr.OpenPrice
&& curr.OpenPrice <= prev.ClosePrice
&& curr.ClosePrice >= prev.OpenPrice;
// Bearish engulfing: prev bullish, curr bearish, curr body engulfs prev body
var bearishEngulfing = prev.ClosePrice > prev.OpenPrice
&& curr.OpenPrice > curr.ClosePrice
&& curr.OpenPrice >= prev.ClosePrice
&& curr.ClosePrice <= prev.OpenPrice;
if (bullishEngulfing && kValue < Oversold && Position <= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (bearishEngulfing && kValue > Overbought && Position >= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
// Exit on stochastic cross
if (_hasPrevK)
{
if (Position > 0 && _prevK >= Overbought && kValue < Overbought && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
else if (Position < 0 && _prevK <= Oversold && kValue > Oversold && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
}
_prevK = kValue;
_hasPrevK = true;
}
}
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 StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class abe_be_stoch_strategy(Strategy):
def __init__(self):
super(abe_be_stoch_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30)))
self._stoch_period = self.Param("StochPeriod", 14)
self._oversold = self.Param("Oversold", 30.0)
self._overbought = self.Param("Overbought", 70.0)
self._signal_cooldown_candles = self.Param("SignalCooldownCandles", 6)
self._candles = []
self._prev_k = 0.0
self._has_prev_k = False
self._candles_since_trade = 6
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def StochPeriod(self):
return self._stoch_period.Value
@StochPeriod.setter
def StochPeriod(self, value):
self._stoch_period.Value = value
@property
def Oversold(self):
return self._oversold.Value
@Oversold.setter
def Oversold(self, value):
self._oversold.Value = value
@property
def Overbought(self):
return self._overbought.Value
@Overbought.setter
def Overbought(self, value):
self._overbought.Value = value
@property
def SignalCooldownCandles(self):
return self._signal_cooldown_candles.Value
@SignalCooldownCandles.setter
def SignalCooldownCandles(self, value):
self._signal_cooldown_candles.Value = value
def OnReseted(self):
super(abe_be_stoch_strategy, self).OnReseted()
self._candles.clear()
self._prev_k = 0.0
self._has_prev_k = False
self._candles_since_trade = self.SignalCooldownCandles
def OnStarted2(self, time):
super(abe_be_stoch_strategy, self).OnStarted2(time)
self._candles.clear()
self._has_prev_k = False
self._candles_since_trade = self.SignalCooldownCandles
stoch = StochasticOscillator()
stoch.K.Length = self.StochPeriod
stoch.D.Length = 3
subscription = self.SubscribeCandles(self.CandleType)
subscription.BindEx(stoch, self._process_candle).Start()
def _process_candle(self, candle, stoch_value):
if candle.State != CandleStates.Finished:
return
if self._candles_since_trade < self.SignalCooldownCandles:
self._candles_since_trade += 1
k_val = stoch_value.K
if k_val is None:
return
k_value = float(k_val)
self._candles.append(candle)
if len(self._candles) > 5:
self._candles.pop(0)
if len(self._candles) >= 2:
curr = self._candles[-1]
prev = self._candles[-2]
bullish_engulfing = (float(prev.OpenPrice) > float(prev.ClosePrice)
and float(curr.ClosePrice) > float(curr.OpenPrice)
and float(curr.OpenPrice) <= float(prev.ClosePrice)
and float(curr.ClosePrice) >= float(prev.OpenPrice))
bearish_engulfing = (float(prev.ClosePrice) > float(prev.OpenPrice)
and float(curr.OpenPrice) > float(curr.ClosePrice)
and float(curr.OpenPrice) >= float(prev.ClosePrice)
and float(curr.ClosePrice) <= float(prev.OpenPrice))
if bullish_engulfing and k_value < self.Oversold and self.Position <= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.BuyMarket()
self._candles_since_trade = 0
elif bearish_engulfing and k_value > self.Overbought and self.Position >= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.SellMarket()
self._candles_since_trade = 0
if self._has_prev_k:
if self.Position > 0 and self._prev_k >= self.Overbought and k_value < self.Overbought and self._candles_since_trade >= self.SignalCooldownCandles:
self.SellMarket()
self._candles_since_trade = 0
elif self.Position < 0 and self._prev_k <= self.Oversold and k_value > self.Oversold and self._candles_since_trade >= self.SignalCooldownCandles:
self.BuyMarket()
self._candles_since_trade = 0
self._prev_k = k_value
self._has_prev_k = True
def CreateClone(self):
return abe_be_stoch_strategy()