Precipice 策略
概览
Precipice 策略直接移植自 MetaTrader 专家顾问 Precipice (barabashkakvn's edition)。系统不会分析市场结构或使用任何指标,而是等待上一笔仓位平仓后抛硬币决定做多还是做空。如果同时允许多空方向,在账户处于空仓状态时,每根已结束的蜡烛都有 50% 的概率生成一笔新的开仓。可选的保护性订单会为每笔交易附加相同的止损和止盈距离,以 "点" 为单位,完全对齐原始 EA 的资金管理逻辑。
StockSharp 版本保留了原始代码的随机特性,并复刻其资金管理设置。策略会自动把 MetaTrader 的点值转换为标的物的本地最小价格步长,因此无论证券有多少小数位,止损与止盈都保持对称。
交易逻辑
- 订阅由
CandleType指定的主图蜡烛序列,仅处理已收盘的蜡烛,从而在每根柱线结束时复制 MetaTraderOnTick逻辑。 - 只要仓位不为空,就忽略所有信号。该专家顾问始终只持有一笔仓位。
- 当策略空仓时,为买入分支生成一个随机数。如果启用
UseBuy且结果小于 0.5,则以TradeVolume手数提交市价买单。 - 如果没有触发多头,继续为卖出分支生成新的随机数。启用
UseSell且结果大于 0.5 时,提交市价卖单。 - 开仓完成后,根据
StopLossTakeProfitPips参数,把止损和止盈分别放在距蜡烛收盘价相同点数的位置。一旦仓位重新归零,策略会自动撤销这些保护性订单。
参数
| 名称 | 类型 | 默认值 | 说明 |
|---|---|---|---|
CandleType |
DataType |
1 分钟周期 | 策略处理的主时间框架。 |
TradeVolume |
decimal |
1 |
每次开仓使用的数量。 |
StopLossTakeProfitPips |
int |
100 |
入场价与止损/止盈之间的距离(MetaTrader 点)。设为 0 可禁用保护性订单。 |
UseBuy |
bool |
true |
允许随机开多。 |
UseSell |
bool |
true |
允许随机开空。 |
与原版 MetaTrader 专家的差异
- MetaTrader 提供冻结距离与最小止损距离;StockSharp 版本仅实现点值换算,必要时由经纪商拒绝不合规的止损距离。
- 原版 EA 直接使用当前买价/卖价。由于高阶 API 仅接收聚合后的蜡烛数据,移植版以蜡烛收盘价计算保护性订单,滑点与点差的处理需由外部风险控制完成。
- MetaTrader 以单独的订单票据运作,而 StockSharp 管理净头寸。移植版同样保持最多只有一笔净头寸,并在仓位归零时撤销所有保护单。
使用建议
- 选择符合标的最小手数的
TradeVolume。构造函数同时把该值应用到Strategy.Volume,确保便捷下单方法使用预期数量。 - 根据品种波动性调整
StopLossTakeProfitPips。策略会把点数乘以证券的价格步长(针对 3/5 位小数自动缩放)以得到本地价格距离。 - 如果只想测试单方向的风险控制,可仅启用
UseBuy或UseSell。 - 由于入场完全随机,建议搭配额外的风险限制或最大持仓时间,以获得可控的退出条件。
指标
- 无。策略完全依靠随机交易与可选的保护性订单。
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>
/// Precipice strategy using EMA crossover for trend direction.
/// Buys when fast EMA crosses above slow EMA, sells on reverse.
/// </summary>
public class PrecipiceStrategy : 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;
/// <summary>
/// Fast EMA period.
/// </summary>
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
/// <summary>
/// Stop-loss distance in price steps.
/// </summary>
public int StopLossPoints
{
get => _stopLossPoints.Value;
set => _stopLossPoints.Value = value;
}
/// <summary>
/// Take-profit distance in price steps.
/// </summary>
public int TakeProfitPoints
{
get => _takeProfitPoints.Value;
set => _takeProfitPoints.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="PrecipiceStrategy"/> class.
/// </summary>
public PrecipiceStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 80)
.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");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_fast = null;
_slow = null;
_prevFast = 0;
_prevSlow = 0;
_entryPrice = 0;
_cooldown = 0;
}
/// <inheritdoc />
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;
// Check SL/TP
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step)
{
SellMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step)
{
SellMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
}
// EMA crossover
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_entryPrice = close;
_cooldown = 80;
}
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_entryPrice = close;
_cooldown = 80;
}
_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
from datatype_extensions import *
from indicator_extensions import *
class precipice_strategy(Strategy):
def __init__(self):
super(precipice_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 20).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 80).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator")
self._sl_points = self.Param("StopLossPoints", 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._tp_points = self.Param("TakeProfitPoints", 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candle timeframe", "General")
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, value): self._candle_type.Value = value
def OnReseted(self):
super(precipice_strategy, self).OnReseted()
self._prev_fast = 0
self._prev_slow = 0
self._entry_price = 0
self._cooldown = 0
def OnStarted2(self, time):
super(precipice_strategy, self).OnStarted2(time)
self._prev_fast = 0
self._prev_slow = 0
self._entry_price = 0
self._cooldown = 0
fast = ExponentialMovingAverage()
fast.Length = self._fast_period.Value
slow = ExponentialMovingAverage()
slow.Length = self._slow_period.Value
sub = self.SubscribeCandles(self.CandleType)
sub.Bind(fast, slow, self.OnProcess).Start()
def _get_step(self):
if self.Security is not None and self.Security.PriceStep is not None and self.Security.PriceStep > 0:
return float(self.Security.PriceStep)
return 1.0
def OnProcess(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
if self._prev_fast == 0 or self._prev_slow == 0:
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 = candle.ClosePrice
step = self._get_step()
if self.Position > 0 and self._entry_price > 0:
if self._sl_points.Value > 0 and close <= self._entry_price - self._sl_points.Value * step:
self.SellMarket()
self._entry_price = 0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._tp_points.Value > 0 and close >= self._entry_price + self._tp_points.Value * step:
self.SellMarket()
self._entry_price = 0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self._sl_points.Value > 0 and close >= self._entry_price + self._sl_points.Value * step:
self.BuyMarket()
self._entry_price = 0
self._cooldown = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._tp_points.Value > 0 and close <= self._entry_price - self._tp_points.Value * step:
self.BuyMarket()
self._entry_price = 0
self._cooldown = 80
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 = 80
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 = 80
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return precipice_strategy()