Color Stochastic NR Strategy
该策略使用随机指标并提供多种信号模式。每种模式以不同方式解释 %K 和 %D 线以生成买卖信号。
模式:
- Breakdown – 当 %K 向上突破 50 时做多,跌破 50 时做空。
- OscTwist – 对 %K 方向的改变做出反应。
- SignalTwist – 对 %D 方向的改变做出反应。
- OscDisposition – 当 %K 上穿 %D 时做多,下穿时做空。
- SignalBreakdown – 当 %D 穿越 50 水平时交易。
相反信号会平掉当前仓位并在反方向开仓。风险由固定百分比的止损和止盈控制。
详细信息
- 入场条件:
- 多头:取决于所选模式。
- 空头:取决于所选模式。
- Long/Short:双向。
- 离场条件:相反信号或保护性止损止盈。
- 止损:是,
StopLossPercent和TakeProfitPercent。 - 默认参数:
KPeriod= 5DPeriod= 3Mode=OscDispositionStopLossPercent= 2TakeProfitPercent= 2CandleType= 4 小时
- 过滤器:
- 分类: 振荡器
- 方向: 双向
- 指标: Stochastic
- 止损: 是
- 复杂度: 中等
- 时间框架: 4H
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
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>
/// Strategy based on the stochastic oscillator with multiple signal modes.
/// </summary>
public class ColorStochNrStrategy : Strategy
{
public enum AlgModes
{
Breakdown,
OscTwist,
SignalTwist,
OscDisposition,
SignalBreakdown
}
private readonly StrategyParam<AlgModes> _mode;
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<int> _dPeriod;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<decimal> _takeProfitPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevK;
private decimal _prevD;
private decimal _prevKDelta;
private decimal _prevDDelta;
public AlgModes Mode
{
get => _mode.Value;
set => _mode.Value = value;
}
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
public int DPeriod
{
get => _dPeriod.Value;
set => _dPeriod.Value = value;
}
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
public decimal TakeProfitPercent
{
get => _takeProfitPercent.Value;
set => _takeProfitPercent.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public ColorStochNrStrategy()
{
_mode = Param(nameof(Mode), AlgModes.OscDisposition)
.SetDisplay("Algorithm Mode", "Trading algorithm to use", "Parameters");
_kPeriod = Param(nameof(KPeriod), 5)
.SetGreaterThanZero()
.SetDisplay("K Period", "Length for %K line", "Stochastic")
.SetOptimize(5, 20, 1);
_dPeriod = Param(nameof(DPeriod), 3)
.SetGreaterThanZero()
.SetDisplay("D Period", "Length for %D line", "Stochastic")
.SetOptimize(3, 10, 1);
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management")
.SetOptimize(1m, 5m, 1m);
_takeProfitPercent = Param(nameof(TakeProfitPercent), 2m)
.SetGreaterThanZero()
.SetDisplay("Take Profit %", "Take profit percentage", "Risk Management")
.SetOptimize(1m, 5m, 1m);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevK = 0m;
_prevD = 0m;
_prevKDelta = 0m;
_prevDDelta = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var stochastic = new StochasticOscillator
{
K = { Length = KPeriod },
D = { Length = DPeriod },
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(stochastic, ProcessCandle)
.Start();
StartProtection(
stopLoss: new Unit(StopLossPercent, UnitTypes.Percent),
takeProfit: new Unit(TakeProfitPercent, UnitTypes.Percent)
);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, stochastic);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue stochValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
var stoch = (IStochasticOscillatorValue)stochValue;
if (stoch.K is not decimal k || stoch.D is not decimal d)
return;
var deltaK = k - _prevK;
var deltaD = d - _prevD;
var buy = false;
var sell = false;
switch (Mode)
{
case AlgModes.Breakdown:
if (_prevK <= 50m && k > 50m)
buy = true;
else if (_prevK >= 50m && k < 50m)
sell = true;
break;
case AlgModes.OscTwist:
if (_prevKDelta <= 0m && deltaK > 0m)
buy = true;
else if (_prevKDelta >= 0m && deltaK < 0m)
sell = true;
break;
case AlgModes.SignalTwist:
if (_prevDDelta <= 0m && deltaD > 0m)
buy = true;
else if (_prevDDelta >= 0m && deltaD < 0m)
sell = true;
break;
case AlgModes.OscDisposition:
if (_prevK <= _prevD && k > d)
buy = true;
else if (_prevK >= _prevD && k < d)
sell = true;
break;
case AlgModes.SignalBreakdown:
if (_prevD <= 50m && d > 50m)
buy = true;
else if (_prevD >= 50m && d < 50m)
sell = true;
break;
}
if (buy && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (sell && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevKDelta = deltaK;
_prevDDelta = deltaD;
_prevK = k;
_prevD = d;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class color_stoch_nr_strategy(Strategy):
"""
Strategy based on the stochastic oscillator with OscDisposition mode.
Buys when %K crosses above %D, sells when %K crosses below %D.
"""
def __init__(self):
super(color_stoch_nr_strategy, self).__init__()
self._k_period = self.Param("KPeriod", 5) \
.SetDisplay("K Period", "Length for %K line", "Stochastic")
self._d_period = self.Param("DPeriod", 3) \
.SetDisplay("D Period", "Length for %D line", "Stochastic")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management")
self._take_profit_percent = self.Param("TakeProfitPercent", 2.0) \
.SetDisplay("Take Profit %", "Take profit percentage", "Risk Management")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_k = 0.0
self._prev_d = 0.0
self._prev_k_delta = 0.0
self._prev_d_delta = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(color_stoch_nr_strategy, self).OnReseted()
self._prev_k = 0.0
self._prev_d = 0.0
self._prev_k_delta = 0.0
self._prev_d_delta = 0.0
def OnStarted2(self, time):
super(color_stoch_nr_strategy, self).OnStarted2(time)
stochastic = StochasticOscillator()
stochastic.K.Length = self._k_period.Value
stochastic.D.Length = self._d_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(stochastic, self.on_process).Start()
self.StartProtection(
stopLoss=Unit(self._stop_loss_percent.Value, UnitTypes.Percent),
takeProfit=Unit(self._take_profit_percent.Value, UnitTypes.Percent)
)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, stochastic)
self.DrawOwnTrades(area)
def on_process(self, candle, stoch_value):
if candle.State != CandleStates.Finished:
return
k_val = stoch_value.K
d_val = stoch_value.D
if k_val is None or d_val is None:
return
k = float(k_val)
d = float(d_val)
delta_k = k - self._prev_k
delta_d = d - self._prev_d
buy = False
sell = False
# OscDisposition mode
if self._prev_k <= self._prev_d and k > d:
buy = True
elif self._prev_k >= self._prev_d and k < d:
sell = True
if buy and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif sell and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_k_delta = delta_k
self._prev_d_delta = delta_d
self._prev_k = k
self._prev_d = d
def CreateClone(self):
return color_stoch_nr_strategy()