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RSI EA v2 策略
该策略是 MetaTrader 5 专家顾问 “RSI EA v2” 的 StockSharp 版本。它围绕 RSI 阈值突破自动化交易,并保留原始 EA 的资金管理、移动止损以及交易时间控制。默认使用 1 分钟 K 线,但可以通过参数替换为任何所需的烛图类型。
交易逻辑
- 入场条件
- 当 RSI 向上穿越买入阈值且上一根已完成 K 线的 RSI 位于阈值下方,同时处于允许交易的时间段时开多。
- 当 RSI 向下穿越卖出阈值且上一根已完成 K 线的 RSI 位于阈值上方,同时满足交易时段要求时开空。
- 如果当前持有反向仓位,策略会下发足够的市价单以先平掉现有敞口,再建立新的净方向(StockSharp 中为净仓模式)。
- 离场条件
- 新仓位被识别后立即根据设定的点数(pips)附加止损和止盈。
- 移动止损复刻原始 EA:只有当价格收益超过“TrailingStop + TrailingStep”后才激活,并且每次至少推进一个 trailing step。
- 可选的“信号反向平仓”逻辑:当 RSI 向下穿越卖出阈值时平掉多头;当 RSI 向上穿越买入阈值时平掉空头。
- 所有判断均在已完成的 K 线上进行,便于回测和复现。
风险与仓位管理
- 止损 / 止盈:以点数定义,并根据合约的价格精度(包含 3/5 位外汇报价)转换为价格距离。
- 移动止损:距离为零时关闭;只要启用移动止损,就必须提供正的 TrailingStep。
- 仓位大小:可选择固定手数,或根据风险百分比与止损距离自动计算手数。风险模式需要账户权益及有效的价格步长信息。
- 交易时段:可选的日内过滤器,通过起始小时(包含)与结束小时(不包含)限定交易窗口;当两者相等时视为全天禁止交易。
参数
| 参数 |
说明 |
OpenBuy / OpenSell |
分别控制多头或空头入场。 |
CloseBySignal |
是否依据反向 RSI 信号平仓。 |
StopLossPips |
止损点数,0 表示关闭止损。 |
TakeProfitPips |
止盈点数,0 表示关闭止盈。 |
TrailingStopPips |
移动止损距离(点)。 |
TrailingStepPips |
每次更新移动止损所需的额外点数,启用移动止损时必须为正。 |
RsiPeriod |
RSI 计算周期。 |
RsiBuyLevel / RsiSellLevel |
多头/空头的入场与信号平仓阈值。 |
UseRiskSizing |
切换到风险百分比仓位管理。 |
FixedVolume |
固定模式下的下单手数,也是风险模式失败时的回退值。 |
RiskPercent |
每笔交易愿意承担的账户权益百分比,仅在启用风险模式且止损距离大于零时使用。 |
UseTimeControl |
是否启用日内时间过滤。 |
StartHour / EndHour |
交易窗口的起始小时(含)与结束小时(不含),范围 0–23。 |
CandleType |
用于计算 RSI 的烛图类型。 |
实现细节
- 使用高层订阅 API,将 RSI 指标绑定到蜡烛流。
- 根据
PriceStep 与 Decimals 计算点值,兼容外汇常见的 3 位/5 位报价。
- 下单前会按照交易品种的数量步长及最小/最大手数对订单量进行归一化。
- 移动止损只维护内部参考价格,一旦触发就通过市价单平仓。
- 分别维护多头与空头的入场价格、保护价位与移动止损状态,避免在蜡烛之间丢失信息。
使用步骤
- 将策略附加到已经连接的 StockSharp 交易适配器,确保证券与投资组合元数据可用。
- 根据交易品种设置 RSI 阈值、止损止盈点数以及可选的交易时段。
- 若账户权益可用,可启用风险百分比仓位管理;否则保持固定手数模式。
- 启动策略后,它会等待完整 K 线,依据 RSI 信号下单,并持续管理止损、止盈和移动止损。
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>
/// RSI EA v2 strategy using EMA crossover.
/// Buys when fast EMA crosses above slow EMA, sells on reverse.
/// </summary>
public class RsiEaV2Strategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public RsiEaV2Strategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_prevFast = fastValue; _prevSlow = slowValue;
}
}
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 rsi_ea_v2_strategy(Strategy):
def __init__(self):
super(rsi_ea_v2_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(rsi_ea_v2_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(rsi_ea_v2_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 100
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return rsi_ea_v2_strategy()