Expert ADC PL Stoch 策略
概述
Expert ADC PL Stoch 策略 源自 MQL5 系统 Expert_ADC_PL_Stoch,通过识别两烛形态与随机指标(Stochastic)组合进行交易。策略在检测到 Piercing Line(曙光初现)或 Dark Cloud Cover(乌云盖顶)形态后,仅当随机指标 %D 线位于极值区域时才允许开仓,退出条件同样基于 %D 线穿越关键阈值,从而尽可能还原原始 EA 的投票逻辑。
交易流程
- 订阅可配置的蜡烛类型(默认 1 小时)。
- 对每根完成的蜡烛缓存最近的蜡烛数据和 Stochastic %D 数值。
- 做多条件
- t-1 与 t-2 两根蜡烛形成 Piercing Line 形态:
- t-1 为大阳线,实体大于平均实体长度。
- t-2 为大阴线,实体大于平均实体长度。
- t-1 低开并在前一根实体内部收盘,同时收盘均线显示此前处于下行趋势。
- t-1 的 %D 数值低于多头阈值(默认 30)。
- t-1 与 t-2 两根蜡烛形成 Piercing Line 形态:
- 做空条件
- t-2 与 t-1 两根蜡烛形成 Dark Cloud Cover 形态:
- t-2 为大阳线。
- t-1 高开后收盘落在前一根实体内部。
- t-1 的中间价高于收盘均线,表明此前处于上升趋势。
- t-1 的 %D 数值高于空头阈值(默认 70)。
- t-2 与 t-1 两根蜡烛形成 Dark Cloud Cover 形态:
- 平仓条件
- 多单:当 t-1 的 %D 相比 t-2 向下穿越 80 或 20。
- 空单:当 t-1 的 %D 相比 t-2 向上穿越 20 或 80。
- 所有判断均基于已完成蜡烛,不在蜡烛形成过程中下单。
参数
| 参数 | 说明 | 默认值 |
|---|---|---|
CandleType |
用于形态识别的蜡烛类型/周期。 | 1 小时 |
StochasticLength |
随机指标的基础长度。 | 47 |
StochasticKPeriod |
%K 线平滑周期。 | 9 |
StochasticDPeriod |
%D 线平滑周期。 | 13 |
StochasticSlow |
额外平滑因子。 | 3 |
AverageBodyPeriod |
计算平均实体长度和收盘均线所用的蜡烛数量。 | 5 |
LongEntryThreshold |
做多前允许的 %D 最大值。 | 30 |
ShortEntryThreshold |
做空前要求的 %D 最小值。 | 70 |
ExitLowerThreshold |
平仓使用的下阈值。 | 20 |
ExitUpperThreshold |
平仓使用的上阈值。 | 80 |
风险控制
- 策略使用基础交易量(默认 1 手)发送市价单。
- 未启用自动止损/止盈,可根据需要在
StartProtection中补充。 - 同一时间只维护一个方向的持仓,新信号会先平仓再反向进场。
注意事项
- 平均实体长度和收盘均线由历史蜡烛计算,以贴合原策略的判定方式。
- 随机指标的 %D 数值按完成蜡烛存储,确保与 MQL5 中的索引一致。
- 仅在策略准备完毕且允许交易时才会执行下单操作。
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>
/// Expert ADC PL Stoch strategy: Dark Cloud Cover and Piercing Line patterns
/// with Stochastic oscillator confirmation for entries and exits.
/// </summary>
public class ExpertAdcPlStochStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _stochPeriod;
private readonly StrategyParam<decimal> _longThreshold;
private readonly StrategyParam<decimal> _shortThreshold;
private readonly StrategyParam<int> _signalCooldownCandles;
private readonly List<ICandleMessage> _candles = new();
private decimal _prevSignal;
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 LongThreshold { get => _longThreshold.Value; set => _longThreshold.Value = value; }
public decimal ShortThreshold { get => _shortThreshold.Value; set => _shortThreshold.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public ExpertAdcPlStochStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_stochPeriod = Param(nameof(StochPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Stoch Period", "Stochastic period", "Indicators");
_longThreshold = Param(nameof(LongThreshold), 30m)
.SetDisplay("Long Threshold", "Stochastic below this for long", "Signals");
_shortThreshold = Param(nameof(ShortThreshold), 70m)
.SetDisplay("Short Threshold", "Stochastic above this for short", "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();
_prevSignal = 0m;
_candlesSinceTrade = SignalCooldownCandles;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candles.Clear();
_candlesSinceTrade = SignalCooldownCandles;
var stoch = new StochasticOscillator { K = { Length = StochPeriod }, D = { Length = 3 } };
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(stoch, ProcessCandle).Start();
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent)
);
}
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 > 10)
_candles.RemoveAt(0);
if (_candles.Count >= 2)
{
var curr = _candles[^1];
var prev = _candles[^2];
// Piercing Line: bearish prev + bullish curr that closes above prev midpoint
var isPiercing = prev.OpenPrice > prev.ClosePrice
&& curr.ClosePrice > curr.OpenPrice
&& curr.OpenPrice < prev.LowPrice
&& curr.ClosePrice > (prev.OpenPrice + prev.ClosePrice) / 2m;
// Dark Cloud Cover: bullish prev + bearish curr that closes below prev midpoint
var isDarkCloud = prev.ClosePrice > prev.OpenPrice
&& curr.OpenPrice > curr.ClosePrice
&& curr.OpenPrice > prev.HighPrice
&& curr.ClosePrice < (prev.OpenPrice + prev.ClosePrice) / 2m;
if (isPiercing && kValue < LongThreshold && Position == 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (isDarkCloud && kValue > ShortThreshold && Position == 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
_prevSignal = kValue;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class expert_adc_pl_stoch_strategy(Strategy):
def __init__(self):
super(expert_adc_pl_stoch_strategy, self).__init__()
self._stoch_period = self.Param("StochPeriod", 14) \
.SetDisplay("Stoch Period", "Stochastic period", "Indicators")
self._long_threshold = self.Param("LongThreshold", 30.0) \
.SetDisplay("Long Threshold", "Stochastic below this for long", "Signals")
self._short_threshold = self.Param("ShortThreshold", 70.0) \
.SetDisplay("Short Threshold", "Stochastic above this for short", "Signals")
self._signal_cooldown = self.Param("SignalCooldownCandles", 6) \
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading")
self._stoch = None
self._candles = []
self._candles_since_trade = 0
@property
def stoch_period(self):
return self._stoch_period.Value
@property
def long_threshold(self):
return self._long_threshold.Value
@property
def short_threshold(self):
return self._short_threshold.Value
@property
def signal_cooldown(self):
return self._signal_cooldown.Value
def OnReseted(self):
super(expert_adc_pl_stoch_strategy, self).OnReseted()
self._stoch = None
self._candles = []
self._candles_since_trade = self.signal_cooldown
def OnStarted2(self, time):
super(expert_adc_pl_stoch_strategy, self).OnStarted2(time)
self._stoch = StochasticOscillator()
self._stoch.K.Length = self.stoch_period
self._stoch.D.Length = 3
self._candles = []
self._candles_since_trade = self.signal_cooldown
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.BindEx(self._stoch, self._process_candle)
subscription.Start()
self.StartProtection(takeProfit=Unit(2, UnitTypes.Percent), stopLoss=Unit(1, UnitTypes.Percent))
def _process_candle(self, candle, stoch_value):
if candle.State != CandleStates.Finished:
return
if self._candles_since_trade < self.signal_cooldown:
self._candles_since_trade += 1
k_value = float(stoch_value.K)
self._candles.append(candle)
if len(self._candles) > 10:
self._candles.pop(0)
if len(self._candles) >= 2:
curr = self._candles[-1]
prev = self._candles[-2]
is_piercing = (float(prev.OpenPrice) > float(prev.ClosePrice)
and float(curr.ClosePrice) > float(curr.OpenPrice)
and float(curr.OpenPrice) < float(prev.LowPrice)
and float(curr.ClosePrice) > (float(prev.OpenPrice) + float(prev.ClosePrice)) / 2.0)
is_dark_cloud = (float(prev.ClosePrice) > float(prev.OpenPrice)
and float(curr.OpenPrice) > float(curr.ClosePrice)
and float(curr.OpenPrice) > float(prev.HighPrice)
and float(curr.ClosePrice) < (float(prev.OpenPrice) + float(prev.ClosePrice)) / 2.0)
if is_piercing and k_value < self.long_threshold and self.Position == 0 and self._candles_since_trade >= self.signal_cooldown:
self.BuyMarket()
self._candles_since_trade = 0
elif is_dark_cloud and k_value > self.short_threshold and self.Position == 0 and self._candles_since_trade >= self.signal_cooldown:
self.SellMarket()
self._candles_since_trade = 0
def CreateClone(self):
return expert_adc_pl_stoch_strategy()