TCPivotLimit 策略
该策略基于经典的日内枢轴点。枢轴点由前一日的最高价、最低价和收盘价计算。策略在选定的支撑或阻力位挂出限价单,并按照预设的止损和止盈管理持仓。
参数
- Volume – 下单量。
- Target Variant – 选择进场、止损和目标所使用的支撑/阻力组合:
- 在 S1/R1 进场,止损 S2/R2,目标 R1/S1。
- 在 S1/R1 进场,止损 S2/R2,目标 R2/S2。
- 在 S2/R2 进场,止损 S3/R3,目标 R1/S1。
- 在 S2/R2 进场,止损 S3/R3,目标 R2/S2。
- 在 S2/R2 进场,止损 S3/R3,目标 R3/S3。
- Intraday Close – 在 23:00 平掉所有持仓。
- Modify Stop Loss – 达到第一目标后将止损移动到该目标。
交易逻辑
- 每个交易日开始时,根据前一日数据计算枢轴点以及三层支撑与阻力。
- 当价格触及选定的支撑或阻力位时,在相反方向挂出限价单。
- 持仓在触发止损或止盈时平仓;可选的止损移动在达到第一目标后收紧风险。
- 若启用 Intraday Close,策略在交易日结束时关闭所有持仓。
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>
/// Pivot point trading strategy based on previous period support/resistance levels.
/// Buys at support, sells at resistance, exits at opposite pivot level.
/// </summary>
public class TcpPivotLimitStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private DateTime _currentDay;
private decimal _dayHigh;
private decimal _dayLow;
private decimal _dayClose;
private decimal _pivot;
private decimal _r1, _s1;
private decimal _entryPrice;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TcpPivotLimitStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_currentDay = default;
_dayHigh = 0;
_dayLow = 0;
_dayClose = 0;
_pivot = _r1 = _s1 = 0;
_entryPrice = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
SubscribeCandles(CandleType).Bind(ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished) return;
var day = candle.OpenTime.Date;
if (_currentDay != day)
{
if (_currentDay != default)
{
_pivot = (_dayHigh + _dayLow + _dayClose) / 3m;
_r1 = 2m * _pivot - _dayLow;
_s1 = 2m * _pivot - _dayHigh;
}
_currentDay = day;
_dayHigh = candle.HighPrice;
_dayLow = candle.LowPrice;
_dayClose = candle.ClosePrice;
return;
}
_dayHigh = Math.Max(_dayHigh, candle.HighPrice);
_dayLow = Math.Min(_dayLow, candle.LowPrice);
_dayClose = candle.ClosePrice;
if (_pivot == 0) return;
var close = candle.ClosePrice;
if (Position == 0)
{
// Buy at support
if (close <= _s1)
{
BuyMarket();
_entryPrice = close;
}
// Sell at resistance
else if (close >= _r1)
{
SellMarket();
_entryPrice = close;
}
}
else if (Position > 0)
{
// Exit long at resistance or stop at entry - (r1 - s1)
if (close >= _r1 || close <= _entryPrice - (_r1 - _s1))
{
SellMarket();
_entryPrice = 0;
}
}
else if (Position < 0)
{
// Exit short at support or stop
if (close <= _s1 || close >= _entryPrice + (_r1 - _s1))
{
BuyMarket();
_entryPrice = 0;
}
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Strategies import Strategy
class tcp_pivot_limit_strategy(Strategy):
def __init__(self):
super(tcp_pivot_limit_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._current_day = None
self._day_high = 0.0
self._day_low = 0.0
self._day_close = 0.0
self._pivot = 0.0
self._r1 = 0.0
self._s1 = 0.0
self._entry_price = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(tcp_pivot_limit_strategy, self).OnReseted()
self._current_day = None
self._day_high = 0.0
self._day_low = 0.0
self._day_close = 0.0
self._pivot = 0.0
self._r1 = 0.0
self._s1 = 0.0
self._entry_price = 0.0
def OnStarted2(self, time):
super(tcp_pivot_limit_strategy, self).OnStarted2(time)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
if self._current_day != day:
if self._current_day is not None:
self._pivot = (self._day_high + self._day_low + self._day_close) / 3.0
self._r1 = 2.0 * self._pivot - self._day_low
self._s1 = 2.0 * self._pivot - self._day_high
self._current_day = day
self._day_high = candle.HighPrice
self._day_low = candle.LowPrice
self._day_close = candle.ClosePrice
return
self._day_high = max(float(self._day_high), float(candle.HighPrice))
self._day_low = min(float(self._day_low), float(candle.LowPrice))
self._day_close = candle.ClosePrice
if self._pivot == 0:
return
close = candle.ClosePrice
if self.Position == 0:
# Buy at support
if close <= self._s1:
self.BuyMarket()
self._entry_price = close
# Sell at resistance
elif close >= self._r1:
self.SellMarket()
self._entry_price = close
elif self.Position > 0:
# Exit long at resistance or stop at entry - (r1 - s1)
if close >= self._r1 or close <= self._entry_price - (self._r1 - self._s1):
self.SellMarket()
self._entry_price = 0
elif self.Position < 0:
# Exit short at support or stop
if close <= self._s1 or close >= self._entry_price + (self._r1 - self._s1):
self.BuyMarket()
self._entry_price = 0
def CreateClone(self):
return tcp_pivot_limit_strategy()