简易新闻策略
该策略在预定的新闻发布时间周围放置挂单,以捕捉新闻引起的剧烈波动。
工作原理
- 在
NewsTime前五分钟开始,策略提交成对的买入止损和卖出止损挂单。 - 第一对挂单位于当前买价和卖价上下
Distance点的位置。 - 每对后续挂单与上一对相距
Delta点,共提交Deals对。 - 新闻发布十分钟后,策略取消所有未触发的挂单。
- 当仓位被打开后,策略监控止损、止盈和追踪止损水平,任一条件触发即平仓。
参数
NewsTime– 新闻发布时间。Deals– 挂单对数。Delta– 每对挂单之间的间隔(点)。Distance– 第一对挂单距离当前价格的距离(点)。StopLoss– 初始止损(点)。Trail– 追踪止损(点)。TakeProfit– 止盈(点)。Volume– 挂单手数。
说明
该策略不依赖指标,仅使用Level1数据。示例性质,真实交易需进一步调整。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// News-style volatility breakout strategy.
/// Monitors ATR for volatility expansion and trades breakouts
/// when price moves beyond recent range.
/// </summary>
public class SimpleNewsStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private decimal _prevAtr;
private decimal _prevHigh;
private decimal _prevLow;
private decimal _entryPrice;
private bool _hasPrev;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
public SimpleNewsStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetDisplay("ATR Period", "ATR period for volatility", "Parameters");
_atrMultiplier = Param(nameof(AtrMultiplier), 1.0m)
.SetDisplay("ATR Multiplier", "Multiplier for breakout distance", "Parameters");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevAtr = 0;
_prevHigh = 0;
_prevLow = 0;
_entryPrice = 0;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevAtr = 0;
_prevHigh = 0;
_prevLow = 0;
_entryPrice = 0;
_hasPrev = false;
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, atr);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue atrInd)
{
if (candle.State != CandleStates.Finished)
return;
if (!atrInd.IsFormed)
return;
var atrValue = atrInd.ToDecimal();
var price = candle.ClosePrice;
// Exit logic
if (Position > 0 && _entryPrice > 0)
{
if (price <= _entryPrice - atrValue * 2m || price >= _entryPrice + atrValue * 3m)
{
SellMarket();
_entryPrice = 0;
}
}
else if (Position < 0 && _entryPrice > 0)
{
if (price >= _entryPrice + atrValue * 2m || price <= _entryPrice - atrValue * 3m)
{
BuyMarket();
_entryPrice = 0;
}
}
if (!_hasPrev)
{
_prevHigh = candle.HighPrice;
_prevLow = candle.LowPrice;
_prevAtr = atrValue;
_hasPrev = true;
return;
}
// Entry: breakout above previous high or below previous low
if (Position == 0)
{
var breakoutDist = atrValue * AtrMultiplier;
if (price > _prevHigh + breakoutDist)
{
BuyMarket();
_entryPrice = price;
}
else if (price < _prevLow - breakoutDist)
{
SellMarket();
_entryPrice = price;
}
}
_prevHigh = candle.HighPrice;
_prevLow = candle.LowPrice;
_prevAtr = atrValue;
}
}
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 AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class simple_news_strategy(Strategy):
def __init__(self):
super(simple_news_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "ATR period for volatility", "Parameters")
self._atr_multiplier = self.Param("AtrMultiplier", 1.0) \
.SetDisplay("ATR Multiplier", "Multiplier for breakout distance", "Parameters")
self._prev_atr = 0.0
self._prev_high = 0.0
self._prev_low = 0.0
self._entry_price = 0.0
self._has_prev = False
@property
def candle_type(self):
return self._candle_type.Value
@property
def atr_period(self):
return self._atr_period.Value
@property
def atr_multiplier(self):
return self._atr_multiplier.Value
def OnReseted(self):
super(simple_news_strategy, self).OnReseted()
self._prev_atr = 0.0
self._prev_high = 0.0
self._prev_low = 0.0
self._entry_price = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(simple_news_strategy, self).OnStarted2(time)
self._prev_atr = 0.0
self._prev_high = 0.0
self._prev_low = 0.0
self._entry_price = 0.0
self._has_prev = False
atr = AverageTrueRange()
atr.Length = self.atr_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(atr, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, atr)
self.DrawOwnTrades(area)
def process_candle(self, candle, atr_ind):
if candle.State != CandleStates.Finished:
return
if not atr_ind.IsFormed:
return
atr_value = float(atr_ind)
price = float(candle.ClosePrice)
# Exit logic
if self.Position > 0 and self._entry_price > 0:
if price <= self._entry_price - atr_value * 2.0 or price >= self._entry_price + atr_value * 3.0:
self.SellMarket()
self._entry_price = 0.0
elif self.Position < 0 and self._entry_price > 0:
if price >= self._entry_price + atr_value * 2.0 or price <= self._entry_price - atr_value * 3.0:
self.BuyMarket()
self._entry_price = 0.0
if not self._has_prev:
self._prev_high = float(candle.HighPrice)
self._prev_low = float(candle.LowPrice)
self._prev_atr = atr_value
self._has_prev = True
return
# Entry: breakout above previous high or below previous low
if self.Position == 0:
breakout_dist = atr_value * float(self.atr_multiplier)
if price > self._prev_high + breakout_dist:
self.BuyMarket()
self._entry_price = price
elif price < self._prev_low - breakout_dist:
self.SellMarket()
self._entry_price = price
self._prev_high = float(candle.HighPrice)
self._prev_low = float(candle.LowPrice)
self._prev_atr = atr_value
def CreateClone(self):
return simple_news_strategy()