Fibonacci Auto Trend Scouter 策略
该策略利用基于斐波那契数的两个滚动极值来寻找新趋势。短期窗口(8)跟踪最近的高点和低点,长期窗口(21)提供背景。当短期高点超过长期高点时开多仓;当短期低点跌破长期低点时开空仓。
详情
- 入场条件:
- 多头: 短期高点 > 长期高点。
- 空头: 短期低点 < 长期低点。
- 多空方向: 双向。
- 出场条件:
- 出现反向信号时反向开仓。
- 止损: 无。
- 默认值:
短周期= 8长周期= 21
- 过滤器:
- 分类: 趋势跟随
- 方向: 双向
- 指标: 多个
- 止损: 无
- 复杂度: 简单
- 时间框架: 中期
using System;
using System.Linq;
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 detection using Fibonacci period moving averages.
/// </summary>
public class FibonacciAutoTrendScouterStrategy : Strategy
{
private readonly StrategyParam<int> _smallPeriod;
private readonly StrategyParam<int> _mediumPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevSmall;
private decimal _prevMedium;
private bool _isReady;
public int SmallPeriod { get => _smallPeriod.Value; set => _smallPeriod.Value = value; }
public int MediumPeriod { get => _mediumPeriod.Value; set => _mediumPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public FibonacciAutoTrendScouterStrategy()
{
_smallPeriod = Param(nameof(SmallPeriod), 8)
.SetGreaterThanZero()
.SetDisplay("Small Period", "Small EMA period", "General");
_mediumPeriod = Param(nameof(MediumPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Medium Period", "Medium EMA period", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle Type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevSmall = 0;
_prevMedium = 0;
_isReady = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var emaSmall = new ExponentialMovingAverage { Length = SmallPeriod };
var emaMedium = new ExponentialMovingAverage { Length = MediumPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(emaSmall, emaMedium, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, emaSmall);
DrawIndicator(area, emaMedium);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal small, decimal medium)
{
if (candle.State != CandleStates.Finished)
return;
if (!_isReady)
{
_prevSmall = small;
_prevMedium = medium;
_isReady = true;
return;
}
// Crossover detection
var crossUp = _prevSmall <= _prevMedium && small > medium;
var crossDown = _prevSmall >= _prevMedium && small < medium;
if (crossUp && Position <= 0)
BuyMarket();
else if (crossDown && Position >= 0)
SellMarket();
_prevSmall = small;
_prevMedium = medium;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class fibonacci_auto_trend_scouter_strategy(Strategy):
def __init__(self):
super(fibonacci_auto_trend_scouter_strategy, self).__init__()
self._small_period = self.Param("SmallPeriod", 8) \
.SetDisplay("Small Period", "Small EMA period", "General")
self._medium_period = self.Param("MediumPeriod", 21) \
.SetDisplay("Medium Period", "Medium EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle Type", "General")
self._prev_small = 0.0
self._prev_medium = 0.0
self._is_ready = False
@property
def small_period(self):
return self._small_period.Value
@property
def medium_period(self):
return self._medium_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(fibonacci_auto_trend_scouter_strategy, self).OnReseted()
self._prev_small = 0.0
self._prev_medium = 0.0
self._is_ready = False
def OnStarted2(self, time):
super(fibonacci_auto_trend_scouter_strategy, self).OnStarted2(time)
ema_small = ExponentialMovingAverage()
ema_small.Length = self.small_period
ema_medium = ExponentialMovingAverage()
ema_medium.Length = self.medium_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema_small, ema_medium, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema_small)
self.DrawIndicator(area, ema_medium)
self.DrawOwnTrades(area)
def on_process(self, candle, small, medium):
if candle.State != CandleStates.Finished:
return
if not self._is_ready:
self._prev_small = small
self._prev_medium = medium
self._is_ready = True
return
# Crossover detection
cross_up = self._prev_small <= self._prev_medium and small > medium
cross_down = self._prev_small >= self._prev_medium and small < medium
if cross_up and self.Position <= 0:
self.BuyMarket()
elif cross_down and self.Position >= 0:
self.SellMarket()
self._prev_small = small
self._prev_medium = medium
def CreateClone(self):
return fibonacci_auto_trend_scouter_strategy()