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Secwenta 多重K线信号策略
概述
该策略是 MetaTrader 专家顾问 "Secwenta"(MQL 编号 22977)的 StockSharp 移植版本。算法会读取指定周期内已完成的 K 线,统计其中收盘价高于开盘价的阳线数量和收盘价低于开盘价的阴线数量。根据参数设置,策略可以仅做多、仅做空,或在多空之间自动反手。当累计的阳线或阴线数量达到阈值时,策略会按照原版 EA 的固定手数开仓或平仓。
信号评估
- 通过高层订阅接口,仅处理所选
CandleType 的已完成 K 线。
- 每根 K 线都会被标记为阳线、阴线或中性(十字星)。内部缓冲区保存最近 N 根 K 线的方向,其中 N 取决于激活方向对应的
BullishBarCount 与 BearishBarCount 的较大值。
- 阳线计数器在 K 线收盘价高于开盘价时递增,阴线计数器在收盘价低于开盘价时递增。中性 K 线不会改变计数。
- 当任一计数器在滑动窗口内达到设定阈值时,就会触发信号。这与原始 MQL 代码依次遍历最近几根 K 线、直到出现足够多的阳线或阴线的流程完全一致。
交易规则
- 仅做多模式(
UseBuySignals = true,UseSellSignals = false)
- 当阴线计数达到
BearishBarCount 时,若当前持有多单,则以市价卖出平仓。
- 当阳线计数达到
BullishBarCount 且当前为空仓时,以 OrderVolume 的手数买入建仓。
- 仅做空模式(
UseBuySignals = false,UseSellSignals = true)
- 当阳线计数达到
BullishBarCount 时,若当前持有空单,则以市价买入平仓。
- 当阴线计数达到
BearishBarCount 且当前为空仓时,以 OrderVolume 的手数卖出建仓。
- 双向反手模式(
UseBuySignals = true 且 UseSellSignals = true)
- 触发阳线信号时,首先买入平掉现有空单;若策略尚未持有多单,则再额外买入
OrderVolume 手,实现从空头到多头的切换。
- 触发阴线信号时,先卖出平掉现有多单;若策略尚未持有空单,则再卖出
OrderVolume 手,完成多头到空头的转换。
所有下单都使用 StockSharp 的 BuyMarket 与 SellMarket 辅助方法,并调用 StartProtection(),方便与平台提供的账户保护机制配合使用。
参数
| 参数 |
说明 |
默认值 |
备注 |
CandleType |
用于统计序列的 K 线类型(时间框架)。 |
1 小时 K 线 |
可更换为任意受支持的蜡烛或时间框架。 |
OrderVolume |
下单基准手数,对应原 EA 的 Lots 设置。 |
1 |
在反手时会自动叠加到平仓数量中。 |
UseBuySignals |
是否启用看涨信号。 |
true |
关闭后不会再开立新的多单。 |
BullishBarCount |
触发看涨事件所需的阳线数量。 |
2 |
在仅做多模式下,应与平仓阈值保持协调。 |
UseSellSignals |
是否启用看跌信号。 |
false |
关闭后不会再开立新的空单。 |
BearishBarCount |
触发看跌事件所需的阴线数量。 |
1 |
既用于开空,也用于多单的平仓阈值。 |
实现要点
- 使用队列维护最新的 K 线方向,并在参数调整时同步更新计数,保证窗口长度正确。
- 仅处理状态为
Finished 的 K 线,保持与原 MQL 在新柱开始时进行计算的行为一致。
- 中性(十字星)K 线不会影响计数,与原始实现相同。
- 在需要反手时,单笔市价单同时完成平仓和开仓,确保持仓变化具有确定性。
- 缓冲区长度只由已启用方向的阈值决定;若某一方向被禁用,则只会统计另一方向的阈值,与原版
CopyRates 的使用方式保持一致。
文件
CS/SecwentaMultiBarSignalsStrategy.cs – 基于 StockSharp 高层策略 API 的 C# 实现。
说明: 按需求仅提供 C# 版本,本目录中没有 Python 代码或 PY 子目录。
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>
/// Secwenta MultiBar Signals strategy using SmoothedMA crossover.
/// Buys when fast SmoothedMA crosses above slow SmoothedMA, sells on reverse.
/// </summary>
public class SecwentaMultiBarSignalsStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private SmoothedMovingAverage _fast;
private SmoothedMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
/// <summary>
/// Fast SmoothedMA period.
/// </summary>
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
/// <summary>
/// Slow SmoothedMA period.
/// </summary>
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
/// <summary>
/// Stop-loss distance in price steps.
/// </summary>
public int StopLossPoints
{
get => _stopLossPoints.Value;
set => _stopLossPoints.Value = value;
}
/// <summary>
/// Take-profit distance in price steps.
/// </summary>
public int TakeProfitPoints
{
get => _takeProfitPoints.Value;
set => _takeProfitPoints.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="SecwentaMultiBarSignalsStrategy"/> class.
/// </summary>
public SecwentaMultiBarSignalsStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 15)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast SmoothedMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 60)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow SmoothedMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200)
.SetNotNegative()
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400)
.SetNotNegative()
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_fast = null;
_slow = null;
_prevFast = 0;
_prevSlow = 0;
_entryPrice = 0;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new SmoothedMovingAverage { Length = FastPeriod };
_slow = new SmoothedMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_fast.IsFormed || !_slow.IsFormed)
{
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
// Check SL/TP
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step)
{
SellMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step)
{
SellMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
}
// SmoothedMA crossover
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_entryPrice = close;
_cooldown = 80;
}
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_entryPrice = close;
_cooldown = 80;
}
_prevFast = fastValue;
_prevSlow = slowValue;
}
}
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 SmoothedMovingAverage
from StockSharp.Algo.Strategies import Strategy
class secwenta_multi_bar_signals_strategy(Strategy):
def __init__(self):
super(secwenta_multi_bar_signals_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 15) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 60) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(secwenta_multi_bar_signals_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(secwenta_multi_bar_signals_strategy, self).OnStarted2(time)
self._fast = SmoothedMovingAverage()
self._fast.Length = self.fast_period
self._slow = SmoothedMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 80
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return secwenta_multi_bar_signals_strategy()