趋势箭头策略
该策略在收盘价突破最近的高点或低点时入场。 它计算给定周期内的最高和最低收盘价。 当收盘价超过近期高点时判定为新的上行趋势, 跌破近期低点时判定为下行趋势。
出现上行信号时,可以平掉空头并可选地开多; 出现下行信号时,可平多并根据需要开空。 策略只处理完成的K线,并使用StockSharp的高级API。
参数
- Period – 用于计算极值的K线数量。
- Candle Type – K线时间框架。
- Open Long – 允许开多。
- Open Short – 允许开空。
- Close Long – 允许平多。
- Close Short – 允许平空。
逻辑
- 订阅所选时间框架的K线数据。
- 使用
Highest和Lowest指标跟踪周期内的最高和最低收盘价。 - 收盘价上破高点视为上行趋势,下破低点视为下行趋势。
- 根据趋势变化及启用的选项进出场。
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>
/// Trend arrows strategy based on breakouts of recent extremes.
/// Detects when price moves above the highest close or below the lowest close
/// over the specified period and trades in the direction of the breakout.
/// </summary>
public class TrendArrowsStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<DataType> _candleType;
private bool _prevTrendUp;
private bool _prevTrendDown;
private decimal? _prevHighest;
private decimal? _prevLowest;
public int Period { get => _period.Value; set => _period.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TrendArrowsStrategy()
{
_period = Param(nameof(Period), 15)
.SetDisplay("Period", "Number of bars for extreme calculation", "Parameters")
.SetOptimize(5, 30, 5);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe of candles", "Parameters");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevTrendUp = false;
_prevTrendDown = false;
_prevHighest = null;
_prevLowest = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevTrendUp = false;
_prevTrendDown = false;
_prevHighest = null;
_prevLowest = null;
var highest = new Highest { Length = Period };
var lowest = new Lowest { Length = Period };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(highest, lowest, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, highest);
DrawIndicator(area, lowest);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal highestVal, decimal lowestVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Use previous bar's highest/lowest to detect breakout
if (_prevHighest is null || _prevLowest is null)
{
_prevHighest = highestVal;
_prevLowest = lowestVal;
return;
}
var trendUp = false;
var trendDown = false;
if (candle.ClosePrice > _prevHighest.Value)
trendUp = true;
else if (candle.ClosePrice < _prevLowest.Value)
trendDown = true;
else
{
trendUp = _prevTrendUp;
trendDown = _prevTrendDown;
}
// Buy when up trend appears
if (!_prevTrendUp && trendUp && Position <= 0)
BuyMarket();
// Sell when down trend appears
if (!_prevTrendDown && trendDown && Position >= 0)
SellMarket();
_prevTrendUp = trendUp;
_prevTrendDown = trendDown;
_prevHighest = highestVal;
_prevLowest = lowestVal;
}
}
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 trend_arrows_strategy(Strategy):
def __init__(self):
super(trend_arrows_strategy, self).__init__()
self._period = self.Param("Period", 15) \
.SetDisplay("Period", "Number of bars for extreme calculation", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe of candles", "Parameters")
self._prev_trend_up = False
self._prev_trend_down = False
self._prev_highest = None
self._prev_lowest = None
@property
def period(self):
return self._period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(trend_arrows_strategy, self).OnReseted()
self._prev_trend_up = False
self._prev_trend_down = False
self._prev_highest = None
self._prev_lowest = None
def OnStarted2(self, time):
super(trend_arrows_strategy, self).OnStarted2(time)
self._prev_trend_up = False
self._prev_trend_down = False
self._prev_highest = None
self._prev_lowest = None
highest = Highest()
highest.Length = self.period
lowest = Lowest()
lowest.Length = self.period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(highest, lowest, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, highest)
self.DrawIndicator(area, lowest)
self.DrawOwnTrades(area)
def process_candle(self, candle, highest_val, lowest_val):
if candle.State != CandleStates.Finished:
return
highest_val = float(highest_val)
lowest_val = float(lowest_val)
close_price = float(candle.ClosePrice)
if self._prev_highest is None or self._prev_lowest is None:
self._prev_highest = highest_val
self._prev_lowest = lowest_val
return
trend_up = False
trend_down = False
if close_price > self._prev_highest:
trend_up = True
elif close_price < self._prev_lowest:
trend_down = True
else:
trend_up = self._prev_trend_up
trend_down = self._prev_trend_down
if not self._prev_trend_up and trend_up and self.Position <= 0:
self.BuyMarket()
if not self._prev_trend_down and trend_down and self.Position >= 0:
self.SellMarket()
self._prev_trend_up = trend_up
self._prev_trend_down = trend_down
self._prev_highest = highest_val
self._prev_lowest = lowest_val
def CreateClone(self):
return trend_arrows_strategy()