MelBar Take325 策略
MelBar Take325 策略直接移植自 Expert Advisor Studio 的 "MelBar™Take325%™ 5.5Y NZD-USD"。策略同时支持做多与做空 NZD/USD,通过三个条件筛选交易:
- 盘口勾选量(tick volume)突破预设阈值;
- 12 周期简单移动平均线形成局部转折;
- 14 周期 RSI 作为退出过滤器。StockSharp 版本完整保留原始风险控制:止损 16 点,止盈 45 点,距离均以点数计算。
当勾选量放大时,策略会检查简单移动平均线在两根 K 线之前是否出现局部极值。若出现局部高点,则在下一根完成的蜡烛收盘价开多;若出现局部低点,则开空。如果同一根蜡烛同时触发多空信号,系统会跳过该信号,以避免在同一时间来回翻转。
持仓期间会在每根蜡烛收盘时重新评估止损与止盈价格,使得行为与 MetaTrader 原版一致。此外,还会监控 14 周期 RSI:
- 多单在 RSI 向下穿越设定水平(默认 80)时平仓;
- 空单在 RSI 向上穿越对称水平(默认 20)时平仓。 蜡烛的最高价与最低价用于判断是否触发止损或止盈。
细节
- 入场条件:
- 量能过滤:两根之前的 tick 量低于阈值,上一根 tick 量高于阈值。
- 多头:12 周期 SMA 出现局部高点(
SMA[t-3] < SMA[t-2]且SMA[t-2] > SMA[t-1])。 - 空头:12 周期 SMA 出现局部低点(
SMA[t-3] > SMA[t-2]且SMA[t-2] < SMA[t-1])。
- 出场条件:
- 止损:距离入场价 16 点,按蜡烛收盘计算。
- 止盈:距离入场价 45 点,按蜡烛收盘计算。
- 多头 RSI 退出:
RSI[t-3] > 80且RSI[t-2] < 80。 - 空头 RSI 退出:
RSI[t-3] < 20且RSI[t-2] > 20。
- 默认参数:
- 入场手数 = 0.1 手。
- 量能阈值 = 1000。
- SMA 周期 = 12。
- RSI 周期 = 14。
- RSI 水平 = 80(空头退出使用
100 - 水平)。 - 蜡烛周期 = 30 分钟。
- 适用市场:主要针对 NZD/USD,可扩展至其他外汇品种。
- 风格:动量突破结合均值回归式退出。
- 止损/止盈:固定距离,无跟踪止损。
- 复杂度:中等,包含多个过滤条件但无加仓逻辑。
- 风险:中等,止损小于止盈,但二者均为固定距离。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// MelBar Take325 strategy: SMA reversal with RSI exit filter.
/// Enters on SMA direction change, exits when RSI reaches extreme levels.
/// </summary>
public class MelBarTake325Strategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _smaPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiExitLevel;
private readonly StrategyParam<int> _signalCooldownCandles;
private decimal _prevSma;
private decimal _prevPrevSma;
private bool _hasPrev2;
private int _candlesSinceTrade;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int SmaPeriod { get => _smaPeriod.Value; set => _smaPeriod.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal RsiExitLevel { get => _rsiExitLevel.Value; set => _rsiExitLevel.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public MelBarTake325Strategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_smaPeriod = Param(nameof(SmaPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("SMA Period", "SMA period", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_rsiExitLevel = Param(nameof(RsiExitLevel), 75m)
.SetDisplay("RSI Exit Level", "RSI level to close long; 100-level closes short", "Signals");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 8)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevSma = 0m;
_prevPrevSma = 0m;
_hasPrev2 = false;
_candlesSinceTrade = SignalCooldownCandles;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev2 = false;
_candlesSinceTrade = SignalCooldownCandles;
var sma = new SimpleMovingAverage { Length = SmaPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(sma, rsi, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal sma, decimal rsi)
{
if (candle.State != CandleStates.Finished) return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
if (_hasPrev2)
{
// Exit on RSI extremes
if (Position > 0 && rsi > RsiExitLevel)
{
SellMarket();
_candlesSinceTrade = 0;
}
else if (Position < 0 && rsi < (100 - RsiExitLevel))
{
BuyMarket();
_candlesSinceTrade = 0;
}
// Entry on SMA reversal (peak/trough)
if (Position == 0 && _candlesSinceTrade >= SignalCooldownCandles && _prevPrevSma > _prevSma && _prevSma < sma)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (Position == 0 && _candlesSinceTrade >= SignalCooldownCandles && _prevPrevSma < _prevSma && _prevSma > sma)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
_prevPrevSma = _prevSma;
_prevSma = sma;
_hasPrev2 = 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 SimpleMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class mel_bar_take325_strategy(Strategy):
def __init__(self):
super(mel_bar_take325_strategy, self).__init__()
self._sma_period = self.Param("SmaPeriod", 12) \
.SetDisplay("SMA Period", "SMA period", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI period", "Indicators")
self._rsi_exit_level = self.Param("RsiExitLevel", 75.0) \
.SetDisplay("RSI Exit Level", "RSI level to close long", "Signals")
self._signal_cooldown = self.Param("SignalCooldownCandles", 8) \
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading")
self._sma = None
self._rsi = None
self._prev_sma = 0.0
self._prev_prev_sma = 0.0
self._has_prev2 = False
self._candles_since_trade = 0
@property
def sma_period(self):
return self._sma_period.Value
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def rsi_exit_level(self):
return self._rsi_exit_level.Value
@property
def signal_cooldown(self):
return self._signal_cooldown.Value
def OnReseted(self):
super(mel_bar_take325_strategy, self).OnReseted()
self._sma = None
self._rsi = None
self._prev_sma = 0.0
self._prev_prev_sma = 0.0
self._has_prev2 = False
self._candles_since_trade = self.signal_cooldown
def OnStarted2(self, time):
super(mel_bar_take325_strategy, self).OnStarted2(time)
self._sma = SimpleMovingAverage()
self._sma.Length = self.sma_period
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self.rsi_period
self._has_prev2 = False
self._candles_since_trade = self.signal_cooldown
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(15)))
subscription.Bind(self._sma, self._rsi, self._process_candle)
subscription.Start()
def _process_candle(self, candle, sma_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not self._sma.IsFormed or not self._rsi.IsFormed:
return
sma_val = float(sma_value)
rsi_val = float(rsi_value)
if self._candles_since_trade < self.signal_cooldown:
self._candles_since_trade += 1
if self._has_prev2:
if self.Position > 0 and rsi_val > self.rsi_exit_level:
self.SellMarket()
self._candles_since_trade = 0
elif self.Position < 0 and rsi_val < (100.0 - self.rsi_exit_level):
self.BuyMarket()
self._candles_since_trade = 0
if self.Position == 0 and self._candles_since_trade >= self.signal_cooldown:
if self._prev_prev_sma > self._prev_sma and self._prev_sma < sma_val:
self.BuyMarket()
self._candles_since_trade = 0
elif self._prev_prev_sma < self._prev_sma and self._prev_sma > sma_val:
self.SellMarket()
self._candles_since_trade = 0
self._prev_prev_sma = self._prev_sma
self._prev_sma = sma_val
self._has_prev2 = True
def CreateClone(self):
return mel_bar_take325_strategy()