日内交易ES影线长度策略
当K线的上下影线总长度超过其加上偏移量的移动平均值时,该策略建立多头仓位,并在持有固定数量的K线后退出。
可检验的交易条件(C# 与 Python)
对每根已完成的1分钟K线,总影线长度 W = max(0, High − max(Open, Close)) + max(0, min(Open, Close) − Low)。采用当前K线之前的20根已完成K线计算 VWMA(W) = sum(Wᵢ × Volumeᵢ) / sum(Volumeᵢ),若全部成交量为零则回退到简单平均;MaType=Simple 直接使用算术平均。MaOffset=10 的单位是证券最小价格跳动,入场阈值为 VWMA(W) + 10 × Security.PriceStep。预热20根后,仅在空仓且 W > 阈值 时开多仓。经过之后18根已完成K线,卖出全部剩余持仓。不做空,不设置止损或止盈。默认 MaLength=20、MaType=VolumeWeighted、MaOffset=10、HoldPeriods=18、CandleType=1分钟。
细节
- 入场条件:影线总长度大于带有偏移的移动平均。
- 出场条件:持有
Hold periods根K线后平仓。 - 多空方向:仅做多。
- 止损:无。
- 默认值:
MA length= 20MA type= VolumeWeightedMA offset= 10Hold periods= 18Candle type= 1 分钟K线
- 过滤器:
- 类别:波动性
- 方向:多头
- 指标:移动平均、影线长度
- 止损:无
- 复杂度:简单
- 时间框架:日内
- 季节性:无
- 神经网络:无
- 背离:无
- 风险级别:中等
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Long-only wick-length strategy. Compares total candle-shadow length with
/// the preceding bars' volume-weighted (or simple) shadow average plus a
/// configurable offset in the traded security's price ticks.
/// </summary>
public class DaytradingESWickLengthStrategy : Strategy
{
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<string> _maType;
private readonly StrategyParam<decimal> _maOffset;
private readonly StrategyParam<int> _holdPeriods;
private readonly StrategyParam<DataType> _candleType;
private readonly List<(decimal wick, decimal volume)> _samples = [];
private int _finishedBars;
private int _entryBar;
public int MaLength { get => _maLength.Value; set => _maLength.Value = value; }
public string MaType { get => _maType.Value; set => _maType.Value = value; }
public decimal MaOffset { get => _maOffset.Value; set => _maOffset.Value = value; }
public int HoldPeriods { get => _holdPeriods.Value; set => _holdPeriods.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public DaytradingESWickLengthStrategy()
{
_maLength = Param(nameof(MaLength), 20)
.SetGreaterThanZero()
.SetDisplay("MA Length", "Number of preceding completed candles used for the wick average", "Indicators");
_maType = Param(nameof(MaType), "VolumeWeighted")
.SetDisplay("MA Type", "VolumeWeighted or Simple average of preceding candle wicks", "Indicators");
_maOffset = Param(nameof(MaOffset), 10m)
.SetRange(0m, 100000m)
.SetDisplay("MA Offset", "Wick-length threshold offset, measured in security price ticks", "Signals");
_holdPeriods = Param(nameof(HoldPeriods), 18)
.SetGreaterThanZero()
.SetDisplay("Hold Periods", "Completed candles to hold a filled long position", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Signal candle interval", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_samples.Clear();
_finishedBars = 0;
_entryBar = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (MaType != "VolumeWeighted" && MaType != "Simple")
throw new ArgumentException("MaType must be VolumeWeighted or Simple.", nameof(MaType));
_samples.Clear();
_finishedBars = 0;
_entryBar = 0;
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
/// <summary>Combined upper and lower candle-shadow length.</summary>
public static decimal CalculateWickLength(decimal open, decimal high, decimal low, decimal close)
=> Math.Max(0m, high - Math.Max(open, close)) +
Math.Max(0m, Math.Min(open, close) - low);
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_finishedBars++;
var wick = CalculateWickLength(candle.OpenPrice, candle.HighPrice, candle.LowPrice, candle.ClosePrice);
// Compute the threshold from completed PRIOR candles, without the
// current signal candle leaking into its own volume-weighted average.
var formed = _samples.Count >= MaLength;
decimal average = 0m;
if (formed)
{
decimal sumWick = 0m;
decimal sumVolume = 0m;
decimal weightedWick = 0m;
foreach (var sample in _samples)
{
sumWick += sample.wick;
sumVolume += sample.volume;
weightedWick += sample.wick * sample.volume;
}
average = MaType == "VolumeWeighted" && sumVolume > 0m
? weightedWick / sumVolume
: sumWick / _samples.Count;
}
_samples.Add((wick, Math.Max(0m, candle.TotalVolume)));
if (_samples.Count > MaLength)
_samples.RemoveAt(0);
if (!formed || !IsFormedAndOnlineAndAllowTrading())
return;
// Exits are independent of new wick signals; close the ACTUAL residual
// size, not the nominal default order size.
if (Position > 0m)
{
if (_entryBar > 0 && _finishedBars - _entryBar >= HoldPeriods)
{
SellMarket(Position);
_entryBar = 0;
}
}
else if (Position == 0m && _entryBar == 0)
{
var tick = Security?.PriceStep ?? 0m;
if (tick <= 0m)
return;
if (wick > average + MaOffset * tick)
{
BuyMarket();
_entryBar = _finishedBars;
}
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Strategies import Strategy
class daytrading_es_wick_length_strategy(Strategy):
"""Long-only total-wick strategy using a preceding volume-weighted wick average."""
def __init__(self):
super(daytrading_es_wick_length_strategy, self).__init__()
self._ma_length = self.Param("MaLength", 20) \
.SetGreaterThanZero() \
.SetDisplay("MA Length", "Preceding completed candles for wick average", "Indicators")
self._ma_type = self.Param("MaType", "VolumeWeighted") \
.SetDisplay("MA Type", "VolumeWeighted or Simple", "Indicators")
self._ma_offset = self.Param("MaOffset", 10.0) \
.SetRange(0.0, 100000.0) \
.SetDisplay("MA Offset", "Additional wick length in security price ticks", "Signals")
self._hold_periods = self.Param("HoldPeriods", 18) \
.SetGreaterThanZero() \
.SetDisplay("Hold Periods", "Completed candles to hold an open long", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Signal candle interval", "General")
self._samples = []
self._finished_bars = 0
self._entry_bar = 0
@property
def candle_type(self):
return self._candle_type.Value
@staticmethod
def calculate_wick_length(open_price, high, low, close):
return max(0.0, high - max(open_price, close)) + max(0.0, min(open_price, close) - low)
def OnReseted(self):
super(daytrading_es_wick_length_strategy, self).OnReseted()
self._samples = []
self._finished_bars = 0
self._entry_bar = 0
def OnStarted2(self, time):
super(daytrading_es_wick_length_strategy, self).OnStarted2(time)
if str(self._ma_type.Value) not in ("VolumeWeighted", "Simple"):
raise ValueError("MaType must be VolumeWeighted or Simple")
self._samples = []
self._finished_bars = 0
self._entry_bar = 0
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
self._finished_bars += 1
wick = self.calculate_wick_length(
float(candle.OpenPrice), float(candle.HighPrice),
float(candle.LowPrice), float(candle.ClosePrice)
)
ma_length = int(self._ma_length.Value)
formed = len(self._samples) >= ma_length
average = 0.0
if formed:
sum_wick = sum(sample[0] for sample in self._samples)
sum_volume = sum(sample[1] for sample in self._samples)
weighted_wick = sum(sample[0] * sample[1] for sample in self._samples)
average = (weighted_wick / sum_volume) if (
str(self._ma_type.Value) == "VolumeWeighted" and sum_volume > 0
) else sum_wick / len(self._samples)
self._samples.append((wick, max(0.0, float(candle.TotalVolume))))
if len(self._samples) > ma_length:
self._samples.pop(0)
if not formed or not self.IsFormedAndOnlineAndAllowTrading():
return
if self.Position > 0:
if self._entry_bar > 0 and self._finished_bars - self._entry_bar >= int(self._hold_periods.Value):
self.SellMarket(self.Position)
self._entry_bar = 0
elif self.Position == 0 and self._entry_bar == 0:
price_step = float(self.Security.PriceStep) if self.Security is not None else 0.0
if price_step <= 0:
return
if wick > average + float(self._ma_offset.Value) * price_step:
self.BuyMarket()
self._entry_bar = self._finished_bars
def CreateClone(self):
return daytrading_es_wick_length_strategy()