C Factor HLH4 仅做多策略
该策略是原始 MQL 专家顾问 C_Factor_HLH4_buy_only 的 C# 翻译版本,展示如何将 MetaTrader 策略移植到 StockSharp 高级 API。
策略逻辑
- 使用四小时周期的 K 线。
- 当当前 K 线收盘价高于上一根 K 线的最高价时开多。
- 当收盘价满足以下任一条件时平多:
- 高于上一根 K 线最低价 100 个跳动点;
- 低于上一根 K 线最高价 20 个跳动点。
- 通过可配置的止损和止盈距离进行风险管理。
- 订单数量根据账户权益风险百分比计算。
参数
| 名称 | 说明 |
|---|---|
StopLoss |
止损距离(以跳动点计)。 |
TakeProfit |
止盈距离(以跳动点计)。 |
RiskPercent |
每笔交易风险占账户权益的百分比。 |
CandleType |
分析所用的 K 线类型及周期(默认:四小时)。 |
备注
该策略仅用于演示目的,仅做多。实际交易前请根据个人需求调整参数和风险设置。
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;
/// <summary>
/// C Factor HLH4 buy-only strategy.
/// Buys when close breaks above previous high, sells on EMA cross.
/// </summary>
public class CFactorHlh4BuyOnlyStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevHigh;
private decimal _prevLow;
private bool _hasPrev;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public CFactorHlh4BuyOnlyStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA period for trend filter", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevHigh = 0;
_prevLow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
SubscribeCandles(CandleType)
.Bind(ema, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal emaVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevHigh = candle.HighPrice;
_prevLow = candle.LowPrice;
_hasPrev = true;
return;
}
var close = candle.ClosePrice;
if (close > _prevHigh && Position <= 0 && close > emaVal)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (close < _prevLow && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevHigh = candle.HighPrice;
_prevLow = candle.LowPrice;
}
}
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 c_factor_hlh4_buy_only_strategy(Strategy):
def __init__(self):
super(c_factor_hlh4_buy_only_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA period for trend filter", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(c_factor_hlh4_buy_only_strategy, self).OnReseted()
self._prev_high = 0.0
self._prev_low = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(c_factor_hlh4_buy_only_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
self.SubscribeCandles(self.candle_type).Bind(ema, self.process_candle).Start()
def process_candle(self, candle, ema_val):
if candle.State != CandleStates.Finished:
return
ev = float(ema_val)
if not self._has_prev:
self._prev_high = float(candle.HighPrice)
self._prev_low = float(candle.LowPrice)
self._has_prev = True
return
close = float(candle.ClosePrice)
if close > self._prev_high and self.Position <= 0 and close > ev:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif close < self._prev_low and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_high = float(candle.HighPrice)
self._prev_low = float(candle.LowPrice)
def CreateClone(self):
return c_factor_hlh4_buy_only_strategy()