三指标策略
概述
该策略是将原始 MQL5 专家顾问 “Three indicators” 转换到 StockSharp 平台后的版本。在所选周期的每一根收盘 K 线时,策略会同时评估 MACD、随机指标和 RSI 三个经典震荡指标。只有当所有过滤条件朝同一方向时才会入场,从而保持与原脚本一致的信号确认逻辑。
交易逻辑
- K 线方向过滤:比较当前已收盘 K 线与上一根 K 线的开盘价。当前开盘价更高则倾向做多,更低则倾向做空。
- MACD 斜率过滤:计算 MACD 主线当前值与上一根的差值。主线下降支持做多,主线上升支持做空,与原策略完全一致。
- 随机指标过滤:检查 %D 相对于 50 的位置。低于 50 支持多头,高于 50 支持空头。
- RSI 过滤:依据 RSI 与 50 的关系。低于 50 允许做多,高于 50 允许做空。
当且仅当 四项过滤 同向时,策略才会开仓。如果持仓期间出现反向信号,策略会立即通过一次市场单同时平掉原有仓位并建立反向仓位,去除 MQL 版本中 30 秒的延迟。
参数
| 参数 | 说明 |
|---|---|
CandleType |
使用的 K 线周期,默认 1 分钟。 |
TradeVolume |
开仓或反手时使用的交易量。 |
MacdFastPeriod |
MACD 快速 EMA 周期。 |
MacdSlowPeriod |
MACD 慢速 EMA 周期。 |
MacdSignalPeriod |
MACD 信号线 EMA 周期。 |
MacdPriceType |
提供给 MACD 的价格类型(收盘价、开盘价、最高价、最低价、中价、典型价、加权价)。 |
StochasticKPeriod |
%K 的计算周期。 |
StochasticDPeriod |
%D 的平滑周期。 |
StochasticSlowing |
在计算 %D 前对 %K 进行的附加平滑长度。 |
RsiPeriod |
RSI 的平滑周期。 |
RsiPriceType |
输入 RSI 的价格类型。 |
指标
- MACD:按照设置的快/慢 EMA 以及信号线周期计算。
- 随机指标 (Stochastic Oscillator):使用 StockSharp 默认实现,可调节 %K、%D 以及 slowing。
- RSI:用于最终的动量方向确认。
行为说明
- 策略仅处理 收盘 K 线,相比原始按新 Bar 第一个 Tick 触发的方式更加稳定。
- 原代码中的
Sleep(30000)被去除,反手时直接发送合并的市价单。 - 随机指标采用 StockSharp 默认的 SMA 平滑方式,与原 MQL 实现的效果一致。
- MACD 与 RSI 的价格来源通过
IndicatorAppliedPrice枚举配置,对应 MetaTrader 的全部选项。
风险管理
策略不会自动设置止损或止盈,仓位控制完全由三重指标信号决定。如需固定风险控制,请在外部添加相应模块。
使用建议
- 通过
CandleType选择交易品种的时间框架。 - 根据市场波动调整各指标参数,以平衡信号频率与稳定性。
- 利用策略绘制的 K 线与指标曲线检查信号是否一致。
- 如需固定止损/止盈,请结合外部资金管理或保护模块。
namespace StockSharp.Samples.Strategies;
using System;
using StockSharp.Algo;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Combines MACD, Stochastic Oscillator, and RSI filters.
/// All three indicators must agree on direction to enter a trade.
/// </summary>
public class ThreeIndicatorsStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _macdFastPeriod;
private readonly StrategyParam<int> _macdSlowPeriod;
private readonly StrategyParam<int> _macdSignalPeriod;
private readonly StrategyParam<int> _stochasticKPeriod;
private readonly StrategyParam<int> _stochasticDPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _signalCooldownBars;
private decimal? _previousOpen;
private decimal? _previousMacdMain;
private int _previousCompositeSignal;
private int _cooldownRemaining;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int MacdFastPeriod { get => _macdFastPeriod.Value; set => _macdFastPeriod.Value = value; }
public int MacdSlowPeriod { get => _macdSlowPeriod.Value; set => _macdSlowPeriod.Value = value; }
public int MacdSignalPeriod { get => _macdSignalPeriod.Value; set => _macdSignalPeriod.Value = value; }
public int StochasticKPeriod { get => _stochasticKPeriod.Value; set => _stochasticKPeriod.Value = value; }
public int StochasticDPeriod { get => _stochasticDPeriod.Value; set => _stochasticDPeriod.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public ThreeIndicatorsStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle type", "Primary timeframe", "General");
_macdFastPeriod = Param(nameof(MacdFastPeriod), 11)
.SetDisplay("MACD fast", "Fast EMA length", "MACD");
_macdSlowPeriod = Param(nameof(MacdSlowPeriod), 53)
.SetDisplay("MACD slow", "Slow EMA length", "MACD");
_macdSignalPeriod = Param(nameof(MacdSignalPeriod), 26)
.SetDisplay("MACD signal", "Signal smoothing", "MACD");
_stochasticKPeriod = Param(nameof(StochasticKPeriod), 40)
.SetDisplay("Stochastic %K", "%K length", "Stochastic");
_stochasticDPeriod = Param(nameof(StochasticDPeriod), 23)
.SetDisplay("Stochastic %D", "%D smoothing", "Stochastic");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI period", "RSI length", "RSI");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 2)
.SetNotNegative()
.SetDisplay("Signal Cooldown Bars", "Closed candles to wait before a new entry", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_previousOpen = null;
_previousMacdMain = null;
_previousCompositeSignal = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_previousOpen = null;
_previousMacdMain = null;
_previousCompositeSignal = 0;
_cooldownRemaining = 0;
var macd = new MovingAverageConvergenceDivergenceSignal();
macd.Macd.ShortMa.Length = MacdFastPeriod;
macd.Macd.LongMa.Length = MacdSlowPeriod;
macd.SignalMa.Length = MacdSignalPeriod;
var stochastic = new StochasticOscillator();
stochastic.K.Length = StochasticKPeriod;
stochastic.D.Length = StochasticDPeriod;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(macd, stochastic, rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue macdValue, IIndicatorValue stochValue, IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!macdValue.IsFinal || !stochValue.IsFinal || !rsiValue.IsFinal)
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
if (!macdValue.IsFormed || !stochValue.IsFormed || !rsiValue.IsFormed)
return;
var macdVal = (MovingAverageConvergenceDivergenceSignalValue)macdValue;
var macdMain = macdVal.Macd ?? 0m;
var stoch = (StochasticOscillatorValue)stochValue;
var stochasticD = stoch.D ?? 50m;
var rsi = rsiValue.GetValue<decimal>();
if (_previousOpen == null || _previousMacdMain == null)
{
_previousOpen = candle.OpenPrice;
_previousMacdMain = macdMain;
return;
}
// Candle direction
var candleSignal = candle.OpenPrice > _previousOpen.Value ? 1 : candle.OpenPrice < _previousOpen.Value ? -1 : 0;
// MACD direction (difference decreasing = bullish momentum)
var macdDelta = macdMain - _previousMacdMain.Value;
var macdSignal = macdDelta < 0m ? 1 : macdDelta > 0m ? -1 : 0;
// Stochastic direction
var stochSignal = stochasticD < 50m ? 1 : stochasticD > 50m ? -1 : 0;
// RSI direction
var rsiSignal = rsi < 50m ? 1 : rsi > 50m ? -1 : 0;
var longSignal = candleSignal >= 0 && macdSignal >= 0 && stochSignal >= 0 && rsiSignal >= 0;
var shortSignal = candleSignal <= 0 && macdSignal <= 0 && stochSignal <= 0 && rsiSignal <= 0;
var compositeSignal = longSignal ? 1 : shortSignal ? -1 : 0;
if (_cooldownRemaining == 0 && compositeSignal != 0 && compositeSignal != _previousCompositeSignal)
{
if (compositeSignal > 0 && Position <= 0)
{
BuyMarket(Volume + (Position < 0 ? -Position : 0m));
_cooldownRemaining = SignalCooldownBars;
}
else if (compositeSignal < 0 && Position >= 0)
{
SellMarket(Volume + (Position > 0 ? Position : 0m));
_cooldownRemaining = SignalCooldownBars;
}
}
_previousOpen = candle.OpenPrice;
_previousMacdMain = macdMain;
_previousCompositeSignal = compositeSignal;
}
}
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 (
MovingAverageConvergenceDivergenceSignal,
StochasticOscillator,
RelativeStrengthIndex,
)
from StockSharp.Algo.Strategies import Strategy
class three_indicators_strategy(Strategy):
def __init__(self):
super(three_indicators_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle type", "Primary timeframe", "General")
self._macd_fast_period = self.Param("MacdFastPeriod", 11) \
.SetDisplay("MACD fast", "Fast EMA length", "MACD")
self._macd_slow_period = self.Param("MacdSlowPeriod", 53) \
.SetDisplay("MACD slow", "Slow EMA length", "MACD")
self._macd_signal_period = self.Param("MacdSignalPeriod", 26) \
.SetDisplay("MACD signal", "Signal smoothing", "MACD")
self._stochastic_k_period = self.Param("StochasticKPeriod", 40) \
.SetDisplay("Stochastic %K", "%K length", "Stochastic")
self._stochastic_d_period = self.Param("StochasticDPeriod", 23) \
.SetDisplay("Stochastic %D", "%D smoothing", "Stochastic")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI period", "RSI length", "RSI")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 2) \
.SetDisplay("Signal Cooldown Bars", "Closed candles to wait before a new entry", "General")
self._previous_open = None
self._previous_macd_main = None
self._previous_composite_signal = 0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
@property
def macd_fast_period(self):
return self._macd_fast_period.Value
@property
def macd_slow_period(self):
return self._macd_slow_period.Value
@property
def macd_signal_period(self):
return self._macd_signal_period.Value
@property
def stochastic_k_period(self):
return self._stochastic_k_period.Value
@property
def stochastic_d_period(self):
return self._stochastic_d_period.Value
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def signal_cooldown_bars(self):
return self._signal_cooldown_bars.Value
def OnReseted(self):
super(three_indicators_strategy, self).OnReseted()
self._previous_open = None
self._previous_macd_main = None
self._previous_composite_signal = 0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(three_indicators_strategy, self).OnStarted2(time)
self._previous_open = None
self._previous_macd_main = None
self._previous_composite_signal = 0
self._cooldown_remaining = 0
macd = MovingAverageConvergenceDivergenceSignal()
macd.Macd.ShortMa.Length = self.macd_fast_period
macd.Macd.LongMa.Length = self.macd_slow_period
macd.SignalMa.Length = self.macd_signal_period
stochastic = StochasticOscillator()
stochastic.K.Length = self.stochastic_k_period
stochastic.D.Length = self.stochastic_d_period
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(macd, stochastic, rsi, self._process_candle).Start()
def _process_candle(self, candle, macd_value, stoch_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not macd_value.IsFinal or not stoch_value.IsFinal or not rsi_value.IsFinal:
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
if not macd_value.IsFormed or not stoch_value.IsFormed or not rsi_value.IsFormed:
return
macd_main = macd_value.Macd if macd_value.Macd is not None else 0.0
stochastic_d = stoch_value.D if stoch_value.D is not None else 50.0
rsi = float(rsi_value)
if self._previous_open is None or self._previous_macd_main is None:
self._previous_open = float(candle.OpenPrice)
self._previous_macd_main = float(macd_main)
return
open_price = float(candle.OpenPrice)
# Candle direction
if open_price > self._previous_open:
candle_signal = 1
elif open_price < self._previous_open:
candle_signal = -1
else:
candle_signal = 0
# MACD direction
macd_delta = float(macd_main) - self._previous_macd_main
if macd_delta < 0:
macd_signal = 1
elif macd_delta > 0:
macd_signal = -1
else:
macd_signal = 0
# Stochastic direction
stoch_d_val = float(stochastic_d)
if stoch_d_val < 50.0:
stoch_signal = 1
elif stoch_d_val > 50.0:
stoch_signal = -1
else:
stoch_signal = 0
# RSI direction
if rsi < 50.0:
rsi_signal = 1
elif rsi > 50.0:
rsi_signal = -1
else:
rsi_signal = 0
long_signal = candle_signal >= 0 and macd_signal >= 0 and stoch_signal >= 0 and rsi_signal >= 0
short_signal = candle_signal <= 0 and macd_signal <= 0 and stoch_signal <= 0 and rsi_signal <= 0
if long_signal:
composite_signal = 1
elif short_signal:
composite_signal = -1
else:
composite_signal = 0
if self._cooldown_remaining == 0 and composite_signal != 0 and composite_signal != self._previous_composite_signal:
if composite_signal > 0 and self.Position <= 0:
vol = self.Volume + (-self.Position if self.Position < 0 else 0)
self.BuyMarket(vol)
self._cooldown_remaining = self.signal_cooldown_bars
elif composite_signal < 0 and self.Position >= 0:
vol = self.Volume + (self.Position if self.Position > 0 else 0)
self.SellMarket(vol)
self._cooldown_remaining = self.signal_cooldown_bars
self._previous_open = open_price
self._previous_macd_main = float(macd_main)
self._previous_composite_signal = composite_signal
def CreateClone(self):
return three_indicators_strategy()