Nadaraya-Watson Envelope 策略
构建对数尺度的Nadaraya-Watson核回归包络。价格向上突破下包络时做多,若选择长短双向模式,价格向下突破上包络时做空。
详情
- 入场条件:
- 收盘价向上穿越下包络做多。
- 收盘价向下穿越上包络做空(长短双向模式)。
- 多空方向:可配置。
- 出场条件:相反包络的交叉。
- 止损:无。
- 默认值:
LookbackWindow= 8RelativeWeighting= 8StartRegressionBar= 25StrategyType= Long OnlyCandleType= TimeSpan.FromMinutes(1)
- 过滤器:
- 分类:Envelope
- 方向:可配置
- 指标:Nadaraya-Watson
- 止损:无
- 复杂度:高级
- 时间框架:任意
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class NadarayaWatsonEnvelopeStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public NadarayaWatsonEnvelopeStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 12 };
var slow = new ExponentialMovingAverage { Length = 34 };
var rsi = new RelativeStrengthIndex { Length = 14 };
var prevF = 0m; var prevS = 0m; var init = false;
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(120);
var sub = SubscribeCandles(CandleType);
sub.Bind(fast, slow, rsi, (c, f, s, r) =>
{
if (c.State != CandleStates.Finished || !fast.IsFormed || !slow.IsFormed || !rsi.IsFormed) return;
if (!init) { prevF = f; prevS = s; init = true; return; }
if (c.OpenTime - lastSignal >= cooldown)
{
if (prevF <= prevS && f > s && r > 50 && Position <= 0) { BuyMarket(); lastSignal = c.OpenTime; }
else if (prevF >= prevS && f < s && r < 50 && Position > 0) { SellMarket(); lastSignal = c.OpenTime; }
}
prevF = f; prevS = s;
}).Start();
var area = CreateChartArea();
if (area != null) { DrawCandles(area, sub); DrawIndicator(area, fast); DrawIndicator(area, slow); DrawOwnTrades(area); }
}
}
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, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class nadaraya_watson_envelope_strategy(Strategy):
"""
Nadaraya Watson Envelope: EMA crossover with RSI filter and time-based cooldown.
"""
def __init__(self):
super(nadaraya_watson_envelope_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._cooldown_bars = 24
self._bar_index = 0
self._last_signal_bar = -1000000
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(nadaraya_watson_envelope_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._bar_index = 0
self._last_signal_bar = -1000000
def OnStarted2(self, time):
super(nadaraya_watson_envelope_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = 12
slow = ExponentialMovingAverage()
slow.Length = 34
rsi = RelativeStrengthIndex()
rsi.Length = 14
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, rsi, self._process_candle).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 _process_candle(self, candle, fast_val, slow_val, rsi_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
rsi = float(rsi_val)
self._bar_index += 1
if not self._initialized:
self._prev_fast = fast
self._prev_slow = slow
self._initialized = True
return
can_signal = self._bar_index - self._last_signal_bar >= self._cooldown_bars
if can_signal and self._prev_fast <= self._prev_slow and fast > slow and rsi > 50 and self.Position <= 0:
self.BuyMarket()
self._last_signal_bar = self._bar_index
elif can_signal and self._prev_fast >= self._prev_slow and fast < slow and rsi < 50 and self.Position > 0:
self.SellMarket()
self._last_signal_bar = self._bar_index
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return nadaraya_watson_envelope_strategy()