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策略示例
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One Two Three 策略
One Two Three 策略在长时间的震荡积累之后,利用 Chaikin 振荡指标的突破信号入场。该实现与原始 MetaTrader 5 专家顾问的逻辑一致:先使用成交量构建累积/派发线,再分别用快、慢 EMA 进行平滑,确认振荡器在过去的大部分时间保持在零轴附近,随后在出现强劲突破时顺势建仓。StockSharp 版本保留了手数、止损与移动止损等全部参数配置。
策略思路
使用传入的蜡烛数据构建累积/派发线,并对其分别应用快、慢 EMA,获得 Chaikin 振荡器(快 EMA − 慢 EMA)。
记录最近 BarsCount 个 Chaikin 数值,统计其中绝对值小于等于 FlatLevel 的“平盘”数据点。
仅当这些平盘数据点占比超过 FlatPercent 时才允许交易,表示市场经历了足够长的盘整阶段。
每当一根蜡烛收盘,如果当前的 Chaikin 值突破 OpenLevel ,则按照突破方向下单。
入场规则
做多 :刚收盘的 Chaikin 值 ≥ OpenLevel ,且当前净头寸 ≤ 0。
做空 :刚收盘的 Chaikin 值 ≤ −OpenLevel ,且当前净头寸 ≥ 0。
始终以市价单执行。如果存在反向头寸,订单数量会自动包含平仓量,使得翻仓在一次交易中完成。
离场规则
固定止损 (StopLossPips ) 与止盈 (TakeProfitPips ) 以品种的最小报价步长(假设 1 pip = 1 个价格步长)转换为价格差,在建仓后立即设定。
可选的移动止损在行情向有利方向运行至少 TrailingStopPips + TrailingStepPips 后开始移动,将保护性止损保持在距离当前收盘价 TrailingStopPips 的位置,同时利用 TrailingStepPips 作为缓冲防止频繁调整。
如果收盘蜡烛的最高价/最低价触及止损或止盈区间,策略会立即发送市价单平仓。
风险与仓位管理
OrderVolume 控制每次进场的基础手数。翻仓时会自动加上当前头寸规模,实现一次性反手。
将任意以 pip 表示的参数设置为 0 会禁用相应功能(例如将 TakeProfitPips 设为 0,交易将仅由止损或反向信号平仓)。
参数说明
OrderVolume – 下单的基础手数。
StopLossPips – 进场价到止损位的 pip 距离。
TakeProfitPips – 进场价到止盈位的 pip 距离。
TrailingStopPips – 移动止损距离(pip)。设为 0 可关闭移动止损。
TrailingStepPips – 每次移动止损前所需的最小额外盈利(pip)。
FastLength – Chaikin 振荡器中快 EMA 的周期。
SlowLength – Chaikin 振荡器中慢 EMA 的周期。
FlatLevel – 被视为盘整的 Chaikin 绝对值阈值。
OpenLevel – 触发入场的 Chaikin 突破强度。
BarsCount – 参与盘整检测的 Chaikin 数值数量。
FlatPercent – 以上述数量中必须处于盘整区间的最小百分比。
CandleType – 指标计算所使用的蜡烛类型或时间周期。
补充说明
移动止损逻辑与原程序一致:当 TrailingStopPips 大于 0 时,应确保 TrailingStepPips 同样为正数,否则止损不会被重新上移或下移。
由于 StockSharp 以合约的价格步长处理报价,pip 相关参数默认假设 1 pip 等于一个价格步长;若品种 tick 大小不同,请相应调整参数。
策略仅在蜡烛收盘后计算信号,不进行盘中逐 tick 处理,与原始 MT5 专家顾问的行为相符。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class OneTwoThreeStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private decimal? _prevFast, _prevSlow;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public OneTwoThreeStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame()).SetDisplay("Candle Type", "Timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 5).SetGreaterThanZero().SetDisplay("Fast EMA", "Fast period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 13).SetGreaterThanZero().SetDisplay("Slow EMA", "Slow period", "Indicators");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = null;
_prevSlow = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = null; _prevSlow = null;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null) { DrawCandles(area, subscription); DrawIndicator(area, fast); DrawIndicator(area, slow); DrawOwnTrades(area); }
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished) return;
if (!IsFormedAndOnlineAndAllowTrading()) { _prevFast = fast; _prevSlow = slow; return; }
if (_prevFast == null || _prevSlow == null) { _prevFast = fast; _prevSlow = slow; return; }
var prevAbove = _prevFast.Value > _prevSlow.Value;
var currAbove = fast > slow;
_prevFast = fast; _prevSlow = slow;
if (!prevAbove && currAbove && Position <= 0) { if (Position < 0) BuyMarket(); BuyMarket(); }
else if (prevAbove && !currAbove && Position >= 0) { if (Position > 0) SellMarket(); SellMarket(); }
}
}
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 one_two_three_strategy(Strategy):
def __init__(self):
super(one_two_three_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Timeframe", "General")
self._fast_period = self.Param("FastPeriod", 5) \
.SetDisplay("Fast EMA", "Fast period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 13) \
.SetDisplay("Slow EMA", "Slow period", "Indicators")
self._prev_fast = None
self._prev_slow = None
@property
def CandleType(self):
return self._candle_type.Value
@property
def FastPeriod(self):
return self._fast_period.Value
@property
def SlowPeriod(self):
return self._slow_period.Value
def OnReseted(self):
super(one_two_three_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
def OnStarted2(self, time):
super(one_two_three_strategy, self).OnStarted2(time)
self._prev_fast = None
self._prev_slow = None
fast = ExponentialMovingAverage()
fast.Length = self.FastPeriod
slow = ExponentialMovingAverage()
slow.Length = self.SlowPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(fast, slow, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def _on_process(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fv = float(fast_value)
sv = float(slow_value)
if self._prev_fast is None or self._prev_slow is None:
self._prev_fast = fv
self._prev_slow = sv
return
prev_above = self._prev_fast > self._prev_slow
curr_above = fv > sv
self._prev_fast = fv
self._prev_slow = sv
if not prev_above and curr_above and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif prev_above and not curr_above and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
def CreateClone(self):
return one_two_three_strategy()