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Otkat Sys 策略
该策略复刻 MetaTrader 专家顾问 1_Otkat_Sys。它跟踪上一交易日的开盘价、收盘价、最高价和最低价,并在
每天午夜后的前三分钟(经纪商时间)从周二到周四判断是否入场。
交易逻辑
- 日线统计 – 缓存上一根已完成的日线,用于计算:
Open - Close 与 Close - Open,判断上一交易日是空头还是多头。
Close - Low 与 High - Close,衡量价格距离极值的回撤幅度。
- 进场窗口 – 仅当进场蜡烛的开盘时间位于 00:00 到 00:03 之间时才评估信号。周一与周五被跳过,以保持
与原始 EA 的
DayOfWeek 过滤一致。
- 方向过滤 – 四个互斥条件完整复刻 MQL 规则:
- 若上一日收跌(
Open - Close 高于通道阈值)且回撤较浅(Close - Low 低于 Pullback - Tolerance),则做多。
- 若上一日收涨且向上回撤较深(
High - Close 高于 Pullback + Tolerance),亦做多。
- 若上一日收涨且向上回撤较浅(
High - Close 低于 Pullback - Tolerance),则做空。
- 若上一日收跌且向下回撤较深(
Close - Low 高于 Pullback + Tolerance),则做空。
- 下单 – 使用设定的手数直接以市价入场。多单的止盈距离为
TakeProfit + 3 个点(原版 EA 的写法),空单
止盈为 TakeProfit 点,双向共用同一止损距离。
- 时间止盈 – 若到 22:45 仍有持仓,则立即平仓,对应原程序在晚间强制平仓的逻辑。
所有阈值参数均以点数表示,并通过交易品种的 PriceStep 自动换算为价格距离。
参数
| 名称 |
说明 |
EntryCandleType |
用于进场窗口的时间框架(默认 1 分钟)。 |
DailyCandleType |
提供日线统计的数据类型(默认 1 天)。 |
TakeProfit |
止盈点数,多单会额外加 3 点缓冲。 |
StopLoss |
止损点数。 |
PullbackThreshold |
基础回撤(“Otkat”)阈值。 |
CorridorThreshold |
方向通道阈值(KoridorOC)。 |
ToleranceThreshold |
回撤容差(KoridorOt)。 |
TradeVolume |
每次入场的手数。 |
策略在 Reset 时清空缓存,订阅进场与日线的蜡烛流,并在可用的图表区域绘制蜡烛与成交标记。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class OtkatSysStrategy : Strategy
{
private readonly StrategyParam<int> _channelPeriod;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<int> _cooldownCandles;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevMid;
private bool _hasPrev;
private int _cooldownRemaining;
public int ChannelPeriod { get => _channelPeriod.Value; set => _channelPeriod.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public int CooldownCandles { get => _cooldownCandles.Value; set => _cooldownCandles.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public OtkatSysStrategy()
{
_channelPeriod = Param(nameof(ChannelPeriod), 48).SetDisplay("Channel Period", "Channel lookback", "Indicators");
_emaPeriod = Param(nameof(EmaPeriod), 20).SetDisplay("EMA Period", "EMA filter", "Indicators");
_cooldownCandles = Param(nameof(CooldownCandles), 150).SetDisplay("Cooldown", "Candles between signals", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame()).SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClose = default;
_prevMid = default;
_hasPrev = default;
_cooldownRemaining = default;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevClose = 0;
_prevMid = 0;
_hasPrev = false;
_cooldownRemaining = 0;
var highest = new Highest { Length = ChannelPeriod };
var lowest = new Lowest { Length = ChannelPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(highest, lowest, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal highest, decimal lowest)
{
if (candle.State != CandleStates.Finished) return;
var close = candle.ClosePrice;
var mid = (highest + lowest) / 2;
if (!_hasPrev) { _prevClose = close; _prevMid = mid; _hasPrev = true; return; }
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevClose = close;
_prevMid = mid;
return;
}
if (_prevClose <= _prevMid && close > mid && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownCandles;
}
else if (_prevClose >= _prevMid && close < mid && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_cooldownRemaining = CooldownCandles;
}
_prevClose = close;
_prevMid = mid;
}
}
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 Highest, Lowest
from StockSharp.Algo.Strategies import Strategy
class otkat_sys_strategy(Strategy):
def __init__(self):
super(otkat_sys_strategy, self).__init__()
self._channel_period = self.Param("ChannelPeriod", 48) \
.SetDisplay("Channel Period", "Channel lookback", "Indicators")
self._cooldown_candles = self.Param("CooldownCandles", 150) \
.SetDisplay("Cooldown", "Candles between signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
@property
def channel_period(self):
return self._channel_period.Value
@property
def cooldown_candles(self):
return self._cooldown_candles.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(otkat_sys_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(otkat_sys_strategy, self).OnStarted2(time)
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
self._cooldown_remaining = 0
highest = Highest()
highest.Length = self.channel_period
lowest = Lowest()
lowest.Length = self.channel_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(highest, lowest, self.process_candle).Start()
def process_candle(self, candle, highest, lowest):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
mid = (float(highest) + float(lowest)) / 2.0
if not self._has_prev:
self._prev_close = close
self._prev_mid = mid
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_close = close
self._prev_mid = mid
return
if self._prev_close <= self._prev_mid and close > mid and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown_remaining = self.cooldown_candles
elif self._prev_close >= self._prev_mid and close < mid and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown_remaining = self.cooldown_candles
self._prev_close = close
self._prev_mid = mid
def CreateClone(self):
return otkat_sys_strategy()