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Lavika100 策略(StockSharp)
概览
Lavika100 是 MetaTrader 5 专家顾问 “Lavika cent” 的完整移植。策略将 1 小时(H1)与 4 小时(H4)的 RAVI 动量过滤器结合,用于挑选进场时机。StockSharp 版本保留了原始 EA 的核心功能:可选的资金管理模式(固定手数或按风险百分比计算)、单仓控制、信号反转开关,以及自动的止损/止盈/追踪保护。所有逻辑均基于高层 API:通过蜡烛订阅驱动流程、指标通过 Bind 绑定、StartProtection 负责保护性委托。
工作流程
- 数据订阅 – 订阅 H1 蜡烛作为执行周期,H4 蜡烛作为趋势过滤。
SimpleMovingAverage 指标应用于开盘价,模拟 MT5 中的 iMA(..., PRICE_OPEN) 计算方式。
- RAVI 动量 – 每个周期都计算快、慢两个移动平均,得到 RAVI 百分比
(fast - slow) / slow * 100。只有当 H1 的 RAVI 为正时才考虑入场。
- 趋势形态识别 – 检查 H4 上最新四个 RAVI 值:
- 当满足
r0 > r1、r1 < r2、r2 < r3 时视为多头形态;
- 当满足
r0 < r1、r1 > r2、r2 > r3 时视为空头形态。此逻辑完全复现原始代码的行为,即便原 EA 通常通过 Reverse 参数来切换方向。
- 信号反转与持仓清理 –
ReverseSignals 与 CloseOpposite 控制是否按原方向下单、是否提前平掉反向持仓。
- 资金管理 – 手数直接取自
FixedVolume,或在风险模式下使用 RiskPercent(账户价值 * 百分比 / 止损距离)动态计算。
- 保护措施 – 只要任意保护距离大于零,启动时立即调用
StartProtection 设置止损、止盈以及追踪止损和步长。
交易规则
- 做多 – H1 RAVI 为正,且 H4 的 RAVI 呈现多头形态;若
CloseOpposite=true,会在买入前先平掉空单。
- 做空 – H1 RAVI 为正,且 H4 的 RAVI 呈现空头形态;当
ReverseSignals=true 时方向互换,对应 MT5 中的 “Reverse”。
- 单仓模式 –
OnlyOnePosition=true 时,持仓不为零将阻止再次入场。
- 手数计算 – 风险模式依据
PriceStep/StepPrice 换算价格到货币价值,并遵守 VolumeStep、VolumeMin、VolumeMax。
参数
| 名称 |
说明 |
H1CandleType |
执行周期,默认 1 小时。 |
H4CandleType |
趋势过滤周期,默认 4 小时。 |
H1FastPeriod / H1SlowPeriod |
H1 RAVI 使用的快/慢均线周期。 |
H4FastPeriod / H4SlowPeriod |
H4 RAVI 使用的快/慢均线周期。 |
StopLossPoints |
止损距离(以 pip 类单位表示)。 |
TakeProfitPoints |
止盈距离(同上)。 |
TrailingStopPoints |
追踪止损距离,设为 0 表示禁用。 |
TrailingStepPoints |
追踪止损的最小步长,启用追踪时必须大于 0。 |
FixedVolume |
固定仓位模式下的手数。 |
RiskPercent |
风险百分比模式下使用的账户百分比。 |
MoneyMode |
FixedLot 与 RiskPercent 的切换。 |
OnlyOnePosition |
是否仅允许单一持仓。 |
ReverseSignals |
是否反转买卖方向(默认 true,与原 EA 相同)。 |
CloseOpposite |
下单前是否平掉反向仓位。 |
转换说明
- Pip 换算遵循 MT5 逻辑:三位或五位报价会把
PriceStep 乘以 10 作为 pip 单位。
- RAVI 历史仅使用四个可空字段存储,避免创建自定义集合,符合
AGENTS.md 对高层 API 的限制。
- 资金管理无需调用被禁止的
GetValue 方法,而是使用 StockSharp 的行情元数据完成风险计算。
- 只有在至少一个保护距离为正时才会调用
StartProtection,保证在回测与实盘中都安全。
使用建议
- 请选择已经正确配置
PriceStep、StepPrice、VolumeStep、VolumeMin、VolumeMax 的外汇类品种。
- 若启用风险百分比模式,请务必设置非零的
StopLossPoints,否则计算出的手数将为零。
- 原版 EA 的信号分支都指向买入。若需要完全复刻其行为,请保持
ReverseSignals=true。
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;
public class Lavika100Strategy : 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 Lavika100Strategy()
{
_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 lavika100_strategy(Strategy):
def __init__(self):
super(lavika100_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(lavika100_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(lavika100_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 lavika100_strategy()