Fractal Force Index 策略
该策略基于平滑后的 Force Index 指标与设定水平的比较。当指标上穿上界或下穿下界时,系统根据选定的交易模式开仓或平仓。Force Index 由价格变化和成交量计算,并通过 EMA 进行平滑。
详情
- 入场条件
- 顺势模式:
- 多头: 指标上穿
HighLevel。 - 空头: 指标下穿
LowLevel。
- 多头: 指标上穿
- 逆势模式:
- 多头: 指标下穿
LowLevel。 - 空头: 指标上穿
HighLevel。
- 多头: 指标下穿
- 顺势模式:
- 退出条件
- 顺势模式:
- 多头: 下穿
LowLevel。 - 空头: 上穿
HighLevel。
- 多头: 下穿
- 逆势模式:
- 多头: 上穿
HighLevel。 - 空头: 下穿
LowLevel。
- 多头: 上穿
- 顺势模式:
- 止损: 无。
- 默认值:
Period= 30HighLevel= 0LowLevel= 0Candle Type= 4 小时
- 过滤器:
- 类型: 动量
- 方向: 双向
- 指标: Force Index
- 止损: 否
- 复杂度: 中等
- 时间框架: 中期
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Fractal Force Index strategy.
/// Uses EMA of price changes as a momentum measure.
/// Opens or closes positions based on indicator level crossovers.
/// </summary>
public class FractalForceIndexStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevEma;
private decimal _prevClose;
private bool _hasPrev;
/// <summary>
/// EMA smoothing period.
/// </summary>
public int Period
{
get => _period.Value;
set => _period.Value = value;
}
/// <summary>
/// The type of candles used for calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="FractalForceIndexStrategy"/>.
/// </summary>
public FractalForceIndexStrategy()
{
_period = Param(nameof(Period), 21)
.SetGreaterThanZero()
.SetDisplay("Period", "EMA length", "Indicator")
.SetOptimize(5, 30, 5);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for indicator", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevEma = 0m;
_prevClose = 0m;
_hasPrev = false;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var ema = new ExponentialMovingAverage { Length = Period };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
if (_hasPrev)
{
// Force-like momentum: price relative to EMA direction
var crossedAbove = _prevClose <= _prevEma && close > emaValue;
var crossedBelow = _prevClose >= _prevEma && close < emaValue;
if (crossedAbove && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
}
else if (crossedBelow && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
}
}
_prevClose = close;
_prevEma = emaValue;
_hasPrev = true;
}
}
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 fractal_force_index_strategy(Strategy):
"""
Fractal Force Index: EMA crossover momentum strategy.
Opens positions when close crosses above/below EMA.
"""
def __init__(self):
super(fractal_force_index_strategy, self).__init__()
self._period = self.Param("Period", 21) \
.SetDisplay("Period", "EMA length", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Timeframe for indicator", "General")
self._prev_ema = 0.0
self._prev_close = 0.0
self._has_prev = False
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(fractal_force_index_strategy, self).OnReseted()
self._prev_ema = 0.0
self._prev_close = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(fractal_force_index_strategy, self).OnStarted2(time)
self._has_prev = False
ema = ExponentialMovingAverage()
ema.Length = self._period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def _process_candle(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
ema = float(ema_value)
if self._has_prev:
crossed_above = self._prev_close <= self._prev_ema and close > ema
crossed_below = self._prev_close >= self._prev_ema and close < ema
if crossed_above and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif crossed_below and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_close = close
self._prev_ema = ema
self._has_prev = True
def CreateClone(self):
return fractal_force_index_strategy()