Precipice Martin 策略 (C#)
概述
Precipice Martin 是一种机械化的网格策略,在每根完成的K线收盘时都会开出一笔市价单。原始的 MetaTrader 5 程序会在每根新K线出现时同时建立多单和空单,并使用以点数表示的固定止损和止盈。只要出现亏损交易,下一个订单的手数就会按照指定的马丁系数放大;盈利交易则把手数恢复到最小值。
本 C# 版本基于 StockSharp 的高阶 API 实现相同的思路。对每根完结的K线,策略会:
- 检查当前持仓,如果K线的最高价或最低价触及了设置的止损/止盈,就立即平仓。
- 在空仓状态下(同时启用多空方向时)轮流开多或开空,以模拟原策略的双向进场,同时兼容 StockSharp 的净头寸模型。
- 可选地启用马丁加仓逻辑,使连续亏损时订单手数逐步放大。
- 根据标的的最小价格跳动,将用户输入的点数转换为绝对价格偏移,用于计算止损和止盈。
转换说明
- 原版程序会在同一根K线上同时持有多头和空头。由于 StockSharp 默认采用净头寸模式,移植版在每次空仓时交替选择方向,从而避免立即互相对冲,同时长期来看仍然会在两个方向上交易。
- 止损和止盈由策略内部管理。当检测到K线突破相应的价格水平时,使用市价单平仓,并把盈亏结果传递给马丁逻辑。
- 手数检查复刻了 MQL5 中的
LotCheck函数:将计算出的手数按交易所的最小变动单位进行取整,并限制在允许的最小/最大范围内;如果取整后变为 0,则放弃下单。 - 马丁乘数与
CalculateLot等价:任一非盈利结果都会把乘数乘以MartingaleCoefficient,盈利则重置为 1。
参数
| 参数 | 说明 |
|---|---|
| Use Buy | 是否允许开多单。 |
| Buy SL/TP (pips) | 多单的止损和止盈距离(点)。为 0 时表示该方向不设置固定退出。 |
| Use Sell | 是否允许开空单。 |
| Sell SL/TP (pips) | 空单的止损和止盈距离(点)。 |
| Use Martingale | 是否启用马丁加仓。关闭时所有订单都使用最小手数。 |
| Martingale Coefficient | 每次亏损后乘以的马丁系数。 |
| Candle Type | 策略处理的K线类型(时间周期),默认使用 1 分钟,可根据需要调整。 |
交易逻辑
- 点值计算:根据标的的价格最小跳动计算一个标准点。对于五位小数报价,1 点等于 10 个最小跳动,与 MT5 保持一致。
- 方向选择:如果同时启用多空方向,在完全空仓后会交替开多或开空;若只启用了一个方向,则始终按照该方向下单。
- 目标价格:开仓后立即记录止损和止盈的绝对价格,距离等于点数乘以点值。为 0 时表示该方向没有固定退出。
- 退出条件:每根完成的K线都会检查最高价/最低价是否突破了记录的目标,若触发则以市价平仓,数量等于最近一次进场的手数。
- 马丁加仓:下一次的下单量 = 最小手数 × 当前马丁乘数。亏损(包括打平)会把乘数乘以
MartingaleCoefficient,盈利则把乘数重置为 1。下单前会先按交易所的手数步长取整。 - 风控校验:如果取整后手数低于最小手数,订单会被忽略,以避免出现资金不足等错误。
使用建议
- 用 Candle Type 参数设置与原策略相同的时间周期。
- 根据标的波动调整止损和止盈的点数,注意最终应用的是绝对价格距离。
- 如需启用马丁加仓,请慎重设置系数,避免在连续亏损时手数过快膨胀。
- 请在有实时K线数据的标的上运行策略;算法只会在K线收盘后做出决策。
- 保持对保证金占用的监控。本移植版本同一时间只有一个净头寸,但马丁加仓仍可能迅速放大仓位。
与 MT5 版本的差异
- 净头寸模式:交替进场取代了原本的双向同时持仓。若需要真正的对冲,可分别运行两个策略实例(一个只做多,另一个只做空)。
- 订单管理:不在交易所挂出止损/止盈委托,而是通过内部逻辑判断是否触发,并用市价单离场。
- 历史遍历:原脚本每次都会遍历历史成交记录以确定马丁乘数,C# 版本则在每次平仓后即时更新乘数,降低计算量。
风险提示
马丁策略在连续亏损时会快速放大仓位,可能造成账户风险急剧上升。请在模拟或历史数据上充分测试,并根据自身风险承受能力选择合适的点数和马丁系数。
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Grid style strategy that opens a position on every new bar with optional martingale sizing.
/// </summary>
public class PrecipiceMartinStrategy : Strategy
{
private readonly StrategyParam<bool> _useBuy;
private readonly StrategyParam<int> _buyStepPips;
private readonly StrategyParam<bool> _useSell;
private readonly StrategyParam<int> _sellStepPips;
private readonly StrategyParam<bool> _useMartingale;
private readonly StrategyParam<decimal> _martingaleCoefficient;
private readonly StrategyParam<DataType> _candleType;
private decimal _pipSize;
private decimal _martingaleMultiplier;
private decimal? _longEntryPrice;
private decimal? _longStopPrice;
private decimal? _longTakePrice;
private decimal? _shortEntryPrice;
private decimal? _shortStopPrice;
private decimal? _shortTakePrice;
private decimal _lastLongVolume;
private decimal _lastShortVolume;
private bool _preferLongEntry;
public bool UseBuy
{
get => _useBuy.Value;
set => _useBuy.Value = value;
}
public int BuyStepPips
{
get => _buyStepPips.Value;
set => _buyStepPips.Value = value;
}
public bool UseSell
{
get => _useSell.Value;
set => _useSell.Value = value;
}
public int SellStepPips
{
get => _sellStepPips.Value;
set => _sellStepPips.Value = value;
}
public bool UseMartingale
{
get => _useMartingale.Value;
set => _useMartingale.Value = value;
}
public decimal MartingaleCoefficient
{
get => _martingaleCoefficient.Value;
set => _martingaleCoefficient.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public PrecipiceMartinStrategy()
{
_useBuy = Param(nameof(UseBuy), true)
.SetDisplay("Use Buy", "Enable opening long positions", "Trading");
_buyStepPips = Param(nameof(BuyStepPips), 89)
.SetDisplay("Buy SL/TP (pips)", "Stop loss and take profit distance for longs", "Trading");
_useSell = Param(nameof(UseSell), true)
.SetDisplay("Use Sell", "Enable opening short positions", "Trading");
_sellStepPips = Param(nameof(SellStepPips), 89)
.SetDisplay("Sell SL/TP (pips)", "Stop loss and take profit distance for shorts", "Trading");
_useMartingale = Param(nameof(UseMartingale), true)
.SetDisplay("Use Martingale", "Increase volume after losing trades", "Position sizing");
_martingaleCoefficient = Param(nameof(MartingaleCoefficient), 1.6m)
.SetDisplay("Martingale Coefficient", "Multiplier applied after losses", "Position sizing")
.SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe used to generate trading bars", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_pipSize = 0m;
_martingaleMultiplier = 1m;
_longEntryPrice = null;
_longStopPrice = null;
_longTakePrice = null;
_shortEntryPrice = null;
_shortStopPrice = null;
_shortTakePrice = null;
_lastLongVolume = 0m;
_lastShortVolume = 0m;
_preferLongEntry = true;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Calculate the pip size based on the instrument tick size.
_pipSize = (Security?.PriceStep ?? 1m) * 10m;
if (_pipSize <= 0m)
_pipSize = Security?.PriceStep ?? 1m;
if (_pipSize <= 0m)
_pipSize = 1m;
_martingaleMultiplier = 1m;
// Subscribe to candle data and process every completed bar.
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle)
{
// Ignore unfinished candles because the original strategy trades on bar close.
if (candle.State != CandleStates.Finished)
return;
// Manage exits before looking for new entries.
var closedLong = TryCloseLong(candle);
var closedShort = TryCloseShort(candle);
// Do not open new trades while any position is still active.
if (Position != 0)
return;
// Avoid immediate re-entry for a direction that has just closed on this bar.
if (closedLong)
return;
if (closedShort)
return;
if (_longEntryPrice.HasValue || _shortEntryPrice.HasValue)
return;
if (UseBuy && UseSell)
{
if (_preferLongEntry)
{
if (TryEnterLong(candle))
{
_preferLongEntry = false;
return;
}
if (TryEnterShort(candle))
{
_preferLongEntry = false;
}
}
else
{
if (TryEnterShort(candle))
{
_preferLongEntry = true;
return;
}
if (TryEnterLong(candle))
{
_preferLongEntry = true;
}
}
}
else
{
if (UseBuy)
{
TryEnterLong(candle);
}
if (UseSell)
{
TryEnterShort(candle);
}
}
}
private bool TryEnterLong(ICandleMessage candle)
{
// Prevent duplicate long entries.
if (_longEntryPrice.HasValue)
return false;
// Ensure no net position exists before opening a new long.
if (Position != 0)
return false;
var volume = CalculateOrderVolume();
if (volume <= 0m)
return false;
var entryPrice = candle.ClosePrice;
Volume = volume;
BuyMarket();
_longEntryPrice = entryPrice;
_lastLongVolume = volume;
if (BuyStepPips > 0)
{
var offset = BuyStepPips * _pipSize;
_longStopPrice = entryPrice - offset;
_longTakePrice = entryPrice + offset;
}
else
{
_longStopPrice = null;
_longTakePrice = null;
}
return true;
}
private bool TryEnterShort(ICandleMessage candle)
{
// Prevent duplicate short entries.
if (_shortEntryPrice.HasValue)
return false;
// Ensure no net position exists before opening a new short.
if (Position != 0)
return false;
var volume = CalculateOrderVolume();
if (volume <= 0m)
return false;
var entryPrice = candle.ClosePrice;
Volume = volume;
SellMarket();
_shortEntryPrice = entryPrice;
_lastShortVolume = volume;
if (SellStepPips > 0)
{
var offset = SellStepPips * _pipSize;
_shortStopPrice = entryPrice + offset;
_shortTakePrice = entryPrice - offset;
}
else
{
_shortStopPrice = null;
_shortTakePrice = null;
}
return true;
}
private bool TryCloseLong(ICandleMessage candle)
{
if (!_longEntryPrice.HasValue)
return false;
var volume = Position;
if (volume <= 0m)
volume = _lastLongVolume;
if (volume <= 0m)
return false;
var stopHit = _longStopPrice.HasValue && candle.LowPrice <= _longStopPrice.Value;
var takeHit = _longTakePrice.HasValue && candle.HighPrice >= _longTakePrice.Value;
if (!stopHit && !takeHit)
return false;
var exitPrice = stopHit ? _longStopPrice!.Value : _longTakePrice!.Value;
SellMarket();
var pnl = (exitPrice - _longEntryPrice.Value) * volume;
UpdateMartingale(pnl);
ResetLongState();
return true;
}
private bool TryCloseShort(ICandleMessage candle)
{
if (!_shortEntryPrice.HasValue)
return false;
var volume = Math.Abs(Position);
if (volume <= 0m)
volume = _lastShortVolume;
if (volume <= 0m)
return false;
var stopHit = _shortStopPrice.HasValue && candle.HighPrice >= _shortStopPrice.Value;
var takeHit = _shortTakePrice.HasValue && candle.LowPrice <= _shortTakePrice.Value;
if (!stopHit && !takeHit)
return false;
var exitPrice = stopHit ? _shortStopPrice!.Value : _shortTakePrice!.Value;
BuyMarket();
var pnl = (_shortEntryPrice.Value - exitPrice) * volume;
UpdateMartingale(pnl);
ResetShortState();
return true;
}
private decimal CalculateOrderVolume()
{
var minVolume = Security?.MinVolume ?? Volume;
if (minVolume <= 0m)
minVolume = 1m;
var multiplier = UseMartingale ? _martingaleMultiplier : 1m;
var volume = minVolume * multiplier;
return AdjustVolume(volume);
}
private decimal AdjustVolume(decimal volume)
{
var step = Security?.VolumeStep;
if (step.HasValue && step.Value > 0m)
{
var steps = Math.Truncate(volume / step.Value);
volume = steps * step.Value;
}
var min = Security?.MinVolume;
if (min.HasValue && min.Value > 0m && volume < min.Value)
volume = 0m;
var max = Security?.MaxVolume;
if (max.HasValue && max.Value > 0m && volume > max.Value)
volume = max.Value;
return volume;
}
private void UpdateMartingale(decimal realizedPnl)
{
if (!UseMartingale)
{
_martingaleMultiplier = 1m;
return;
}
// Reset the multiplier after profitable trades and scale up after losses.
_martingaleMultiplier = realizedPnl > 0m
? 1m
: _martingaleMultiplier * MartingaleCoefficient;
}
private void ResetLongState()
{
_longEntryPrice = null;
_longStopPrice = null;
_longTakePrice = null;
_lastLongVolume = 0m;
}
private void ResetShortState()
{
_shortEntryPrice = null;
_shortStopPrice = null;
_shortTakePrice = null;
_lastShortVolume = 0m;
}
}
import clr
import math
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.Strategies import Strategy
class precipice_martin_strategy(Strategy):
"""Precipice Martin: grid strategy with alternating long/short entries and martingale sizing."""
def __init__(self):
super(precipice_martin_strategy, self).__init__()
self._use_buy = self.Param("UseBuy", True) \
.SetDisplay("Use Buy", "Enable opening long positions", "Trading")
self._buy_step_pips = self.Param("BuyStepPips", 89) \
.SetDisplay("Buy SL/TP (pips)", "Stop loss and take profit distance for longs", "Trading")
self._use_sell = self.Param("UseSell", True) \
.SetDisplay("Use Sell", "Enable opening short positions", "Trading")
self._sell_step_pips = self.Param("SellStepPips", 89) \
.SetDisplay("Sell SL/TP (pips)", "Stop loss and take profit distance for shorts", "Trading")
self._use_martingale = self.Param("UseMartingale", True) \
.SetDisplay("Use Martingale", "Increase volume after losing trades", "Position sizing")
self._martingale_coefficient = self.Param("MartingaleCoefficient", 1.6) \
.SetGreaterThanZero() \
.SetDisplay("Martingale Coefficient", "Multiplier applied after losses", "Position sizing")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe used to generate trading bars", "General")
self._pip_size = 0.0
self._martingale_multiplier = 1.0
self._long_entry_price = None
self._long_stop_price = None
self._long_take_price = None
self._short_entry_price = None
self._short_stop_price = None
self._short_take_price = None
self._last_long_volume = 0.0
self._last_short_volume = 0.0
self._prefer_long_entry = True
@property
def UseBuy(self):
return self._use_buy.Value
@property
def BuyStepPips(self):
return int(self._buy_step_pips.Value)
@property
def UseSell(self):
return self._use_sell.Value
@property
def SellStepPips(self):
return int(self._sell_step_pips.Value)
@property
def UseMartingale(self):
return self._use_martingale.Value
@property
def MartingaleCoefficient(self):
return float(self._martingale_coefficient.Value)
@property
def CandleType(self):
return self._candle_type.Value
def _adjust_volume(self, volume):
sec = self.Security
if sec is not None and sec.VolumeStep is not None:
step = float(sec.VolumeStep)
if step > 0:
volume = math.floor(volume / step) * step
if sec is not None and sec.MinVolume is not None:
min_v = float(sec.MinVolume)
if min_v > 0 and volume < min_v:
volume = 0.0
if sec is not None and sec.MaxVolume is not None:
max_v = float(sec.MaxVolume)
if max_v > 0 and volume > max_v:
volume = max_v
return volume
def _calculate_order_volume(self):
sec = self.Security
min_volume = float(sec.MinVolume) if sec is not None and sec.MinVolume is not None else self.Volume
if min_volume <= 0:
min_volume = 1.0
multiplier = self._martingale_multiplier if self.UseMartingale else 1.0
volume = min_volume * multiplier
return self._adjust_volume(volume)
def _update_martingale(self, realized_pnl):
if not self.UseMartingale:
self._martingale_multiplier = 1.0
return
if realized_pnl > 0:
self._martingale_multiplier = 1.0
else:
self._martingale_multiplier *= self.MartingaleCoefficient
def OnStarted2(self, time):
super(precipice_martin_strategy, self).OnStarted2(time)
sec = self.Security
step = float(sec.PriceStep) if sec is not None and sec.PriceStep is not None else 1.0
self._pip_size = step * 10.0
if self._pip_size <= 0:
self._pip_size = step if step > 0 else 1.0
self._martingale_multiplier = 1.0
self._long_entry_price = None
self._long_stop_price = None
self._long_take_price = None
self._short_entry_price = None
self._short_stop_price = None
self._short_take_price = None
self._last_long_volume = 0.0
self._last_short_volume = 0.0
self._prefer_long_entry = True
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self.process_candle).Start()
def process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
h = float(candle.HighPrice)
lo = float(candle.LowPrice)
close = float(candle.ClosePrice)
closed_long = self._try_close_long(candle)
closed_short = self._try_close_short(candle)
if self.Position != 0:
return
if closed_long or closed_short:
return
if self._long_entry_price is not None or self._short_entry_price is not None:
return
if self.UseBuy and self.UseSell:
if self._prefer_long_entry:
if self._try_enter_long(candle):
self._prefer_long_entry = False
return
if self._try_enter_short(candle):
self._prefer_long_entry = False
else:
if self._try_enter_short(candle):
self._prefer_long_entry = True
return
if self._try_enter_long(candle):
self._prefer_long_entry = True
else:
if self.UseBuy:
self._try_enter_long(candle)
if self.UseSell:
self._try_enter_short(candle)
def _try_enter_long(self, candle):
if self._long_entry_price is not None:
return False
if self.Position != 0:
return False
volume = self._calculate_order_volume()
if volume <= 0:
return False
entry_price = float(candle.ClosePrice)
self.BuyMarket()
self._long_entry_price = entry_price
self._last_long_volume = volume
if self.BuyStepPips > 0:
offset = self.BuyStepPips * self._pip_size
self._long_stop_price = entry_price - offset
self._long_take_price = entry_price + offset
else:
self._long_stop_price = None
self._long_take_price = None
return True
def _try_enter_short(self, candle):
if self._short_entry_price is not None:
return False
if self.Position != 0:
return False
volume = self._calculate_order_volume()
if volume <= 0:
return False
entry_price = float(candle.ClosePrice)
self.SellMarket()
self._short_entry_price = entry_price
self._last_short_volume = volume
if self.SellStepPips > 0:
offset = self.SellStepPips * self._pip_size
self._short_stop_price = entry_price + offset
self._short_take_price = entry_price - offset
else:
self._short_stop_price = None
self._short_take_price = None
return True
def _try_close_long(self, candle):
if self._long_entry_price is None:
return False
volume = self.Position
if volume <= 0:
volume = self._last_long_volume
if volume <= 0:
return False
h = float(candle.HighPrice)
lo = float(candle.LowPrice)
stop_hit = self._long_stop_price is not None and lo <= self._long_stop_price
take_hit = self._long_take_price is not None and h >= self._long_take_price
if not stop_hit and not take_hit:
return False
exit_price = self._long_stop_price if stop_hit else self._long_take_price
self.SellMarket()
pnl = (exit_price - self._long_entry_price) * volume
self._update_martingale(pnl)
self._reset_long_state()
return True
def _try_close_short(self, candle):
if self._short_entry_price is None:
return False
volume = abs(self.Position)
if volume <= 0:
volume = self._last_short_volume
if volume <= 0:
return False
h = float(candle.HighPrice)
lo = float(candle.LowPrice)
stop_hit = self._short_stop_price is not None and h >= self._short_stop_price
take_hit = self._short_take_price is not None and lo <= self._short_take_price
if not stop_hit and not take_hit:
return False
exit_price = self._short_stop_price if stop_hit else self._short_take_price
self.BuyMarket()
pnl = (self._short_entry_price - exit_price) * volume
self._update_martingale(pnl)
self._reset_short_state()
return True
def _reset_long_state(self):
self._long_entry_price = None
self._long_stop_price = None
self._long_take_price = None
self._last_long_volume = 0.0
def _reset_short_state(self):
self._short_entry_price = None
self._short_stop_price = None
self._short_take_price = None
self._last_short_volume = 0.0
def OnReseted(self):
super(precipice_martin_strategy, self).OnReseted()
self._pip_size = 0.0
self._martingale_multiplier = 1.0
self._long_entry_price = None
self._long_stop_price = None
self._long_take_price = None
self._short_entry_price = None
self._short_stop_price = None
self._short_take_price = None
self._last_long_volume = 0.0
self._last_short_volume = 0.0
self._prefer_long_entry = True
def CreateClone(self):
return precipice_martin_strategy()