TurnGrid 策略
概述
TurnGrid 策略 复刻自原始的 MQL5 专家顾问 TurnGrid.mq5。策略会在当前价格附近搭建对称的价格网格,当价格穿越网格线时交替开仓多头与空头,从而在整个震荡区间内保持动态平衡的持仓组合,直到账户权益达到设定的目标值。
本次移植使用 StockSharp 的高级 API:通过蜡烛线订阅驱动网格更新,市价单用于开平仓,风险管理以参数形式暴露。所有注释均采用英文,命名风格遵循 StockSharp 规范。
交易逻辑
- 策略启动时获取最新蜡烛的收盘价,基于该价格构建包含
4 * GridShares个层级的网格。中心层级使用当前价格,上方层级按1 + GridDistance递增,下方层级按1 - GridDistance递减。 - 在网格中心立即买入一笔市价单。成交量来源于可用资金 (
Balance / GridShares),再叠加 MQL 原版中的逐步加仓公式。 - 每根完成的蜡烛都会根据收盘价更新当前所在的网格索引。一旦索引发生变化:
- 关闭距离当前索引两个层级的挂钩仓位:位于价格下方的买单通过卖出平仓,位于价格上方的卖单通过买入平仓。
- 为当前层级补充缺失方向的仓位。如果多空都为空,则优先补充仓位数量较少的方向,以保持多空平衡。
- 通过
FeeRate参数对手续费进行估算,每次成交都会把估算的手续费累加到运行中的费用统计。 - 当账户权益减去累计费用后超过初始余额的
EquityTakeProfit比例时,策略会平掉当前净头寸,并以最新价格为中心重建网格。
参数
| 名称 | 说明 | 默认值 |
|---|---|---|
GridDistance |
相邻网格层级之间的相对价格距离。 | 0.01 |
GridShares |
网格允许的最大持仓数量。 | 50 |
EquityTakeProfit |
触发网格重置所需的权益增幅。 | 0.02 |
FeeRate |
每笔交易的手续费估算系数。 | 0.0008 |
CandleType |
用于驱动策略的蜡烛线类型。 | 1 分钟周期 |
实现细节
- 通过
SubscribeCandles(CandleType)订阅蜡烛线,仅处理状态为Finished的蜡烛,从而在保持逻辑一致性的同时兼容 StockSharp 事件模型。 - 网格状态保存在轻量级的
GridLevel结构体数组中,包含价格锚点、持仓标志以及延迟平仓所需的成交量信息。 - 下单手数沿用原始 EA 的资金分配公式,并结合交易标的的
VolumeStep、VolumeMin、VolumeMax做归一化处理。 - 当权益条件满足时,策略先通过
TryCloseNetPosition平掉净头寸,再重建网格,确保不同交易周期之间的衔接干净整洁。
文件
CS/TurnGridStrategy.cs– 使用 StockSharp 高级 API 实现的策略代码。README.md– 英文说明。README_zh.md– 简体中文说明(本文)。README_ru.md– 俄文说明。
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 trading strategy that mirrors the TurnGrid Expert Advisor logic from MQL5.
/// </summary>
public class TurnGridStrategy : Strategy
{
private enum TradeDirections
{
Buy,
Sell,
}
private struct GridLevel
{
public decimal Price;
public bool HasBuy;
public bool HasSell;
public decimal BuyVolumeTicket;
public decimal SellVolumeTicket;
}
private readonly StrategyParam<decimal> _gridDistance;
private readonly StrategyParam<int> _gridShares;
private readonly StrategyParam<decimal> _equityTakeProfit;
private readonly StrategyParam<decimal> _feeRate;
private readonly StrategyParam<DataType> _candleType;
private GridLevel[] _grid;
private int _currentIndex;
private decimal _openBudget;
private decimal _openMoneyIncrement;
private int _buyCount;
private int _sellCount;
private decimal _lastPrice;
private decimal _totalFee;
private decimal _initialBalance;
private bool _resetRequested;
private decimal _resetPrice;
public decimal GridDistance
{
get => _gridDistance.Value;
set => _gridDistance.Value = value;
}
public int GridShares
{
get => _gridShares.Value;
set => _gridShares.Value = value;
}
public decimal EquityTakeProfit
{
get => _equityTakeProfit.Value;
set => _equityTakeProfit.Value = value;
}
public decimal FeeRate
{
get => _feeRate.Value;
set => _feeRate.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public TurnGridStrategy()
{
_gridDistance = Param(nameof(GridDistance), 0.01m)
.SetDisplay("Grid Distance", "Relative distance between grid levels", "Grid");
_gridShares = Param(nameof(GridShares), 50)
.SetDisplay("Max Grid Positions", "Maximum number of open grid entries", "Grid");
_equityTakeProfit = Param(nameof(EquityTakeProfit), 0.02m)
.SetDisplay("Equity Take Profit", "Equity growth ratio that triggers a reset", "Risk");
_feeRate = Param(nameof(FeeRate), 0.0008m)
.SetDisplay("Fee Rate", "Estimated transaction fee per trade", "Costs");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Candle type used to drive the grid", "Data");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_grid = null;
_currentIndex = 0;
_openBudget = 0m;
_openMoneyIncrement = 0m;
_buyCount = 0;
_sellCount = 0;
_lastPrice = 0m;
_totalFee = 0m;
_initialBalance = 0m;
_resetRequested = false;
_resetPrice = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_lastPrice = candle.ClosePrice;
if (_resetRequested)
{
if (!TryCloseNetPosition())
return;
InitializeGrid(_resetPrice);
_resetRequested = false;
}
if (_grid == null)
{
InitializeGrid(candle.ClosePrice);
return;
}
if (!UpdateCurrentIndex(candle.ClosePrice))
return;
if (CheckEquityTarget())
{
RequestReset(candle.ClosePrice);
return;
}
CloseReachedPositions();
ManageOpenings();
}
private void InitializeGrid(decimal price)
{
if (price <= 0m)
return;
var shares = Math.Max(1, GridShares);
var size = shares * 4;
_grid = new GridLevel[size];
_currentIndex = shares * 2;
_grid[_currentIndex].Price = price;
for (var i = _currentIndex + 1; i < size; i++)
{
_grid[i].Price = _grid[i - 1].Price * (1m + GridDistance);
}
for (var i = _currentIndex - 1; i >= 0; i--)
{
_grid[i].Price = _grid[i + 1].Price * (1m - GridDistance);
}
_buyCount = 0;
_sellCount = 0;
_totalFee = 0m;
var portfolio = Portfolio;
_initialBalance = portfolio?.CurrentValue ?? portfolio?.CurrentValue ?? _initialBalance;
if (_initialBalance <= 0m)
_initialBalance = shares * price;
_openBudget = _initialBalance / shares;
if (_openBudget <= 0m)
_openBudget = price;
_openMoneyIncrement = CalculateOpenMoneyIncrement();
_lastPrice = price;
TryOpenBuy();
}
private bool UpdateCurrentIndex(decimal price)
{
if (_grid == null)
return false;
var newIndex = _currentIndex;
while (newIndex + 1 < _grid.Length && price >= _grid[newIndex + 1].Price)
newIndex++;
while (newIndex - 1 >= 0 && price <= _grid[newIndex - 1].Price)
newIndex--;
if (newIndex == _currentIndex)
return false;
_currentIndex = newIndex;
return true;
}
private bool CheckEquityTarget()
{
if (_initialBalance <= 0m)
return false;
var portfolio = Portfolio;
var equity = portfolio?.CurrentValue ?? portfolio?.CurrentValue ?? 0m;
if (equity <= 0m)
return false;
return equity - _totalFee > _initialBalance * (1m + EquityTakeProfit);
}
private void RequestReset(decimal price)
{
_resetRequested = true;
_resetPrice = price;
_grid = null;
_buyCount = 0;
_sellCount = 0;
_totalFee = 0m;
TryCloseNetPosition();
}
private bool TryCloseNetPosition()
{
if (Position > 0m)
{
SellMarket(Position);
return false;
}
if (Position < 0m)
{
BuyMarket(Math.Abs(Position));
return false;
}
return true;
}
private void CloseReachedPositions()
{
if (_grid == null)
return;
ref var currentLevel = ref _grid[_currentIndex];
if (currentLevel.BuyVolumeTicket > 0m)
{
SellMarket(currentLevel.BuyVolumeTicket);
_buyCount = Math.Max(0, _buyCount - 1);
currentLevel.BuyVolumeTicket = 0m;
var anchorIndex = _currentIndex - 2;
if (anchorIndex >= 0)
_grid[anchorIndex].HasBuy = false;
}
if (currentLevel.SellVolumeTicket > 0m)
{
BuyMarket(currentLevel.SellVolumeTicket);
_sellCount = Math.Max(0, _sellCount - 1);
currentLevel.SellVolumeTicket = 0m;
var anchorIndex = _currentIndex + 2;
if (_grid != null && anchorIndex < _grid.Length)
_grid[anchorIndex].HasSell = false;
}
}
private void ManageOpenings()
{
if (_grid == null)
return;
ref var level = ref _grid[_currentIndex];
if (level.HasBuy && !level.HasSell)
{
TryOpenSell();
return;
}
if (!level.HasBuy && level.HasSell)
{
TryOpenBuy();
return;
}
if (!level.HasBuy && !level.HasSell)
{
if (_buyCount > _sellCount)
TryOpenSell();
else
TryOpenBuy();
}
}
private void TryOpenBuy()
{
if (_grid == null)
return;
if (_buyCount + _sellCount >= GridShares)
return;
var volume = CalculateVolume(TradeDirections.Buy);
if (volume <= 0m)
return;
BuyMarket(volume);
ref var level = ref _grid[_currentIndex];
level.HasBuy = true;
var targetIndex = _currentIndex + 2;
if (targetIndex < _grid.Length)
_grid[targetIndex].BuyVolumeTicket += volume;
_buyCount++;
}
private void TryOpenSell()
{
if (_grid == null)
return;
if (_buyCount + _sellCount >= GridShares)
return;
var volume = CalculateVolume(TradeDirections.Sell);
if (volume <= 0m)
return;
SellMarket(volume);
ref var level = ref _grid[_currentIndex];
level.HasSell = true;
var targetIndex = _currentIndex - 2;
if (targetIndex >= 0)
_grid[targetIndex].SellVolumeTicket += volume;
_sellCount++;
}
private decimal CalculateVolume(TradeDirections direction)
{
if (_lastPrice <= 0m)
return 0m;
var firstMoney = _openBudget / 10m;
if (firstMoney <= 0m)
firstMoney = _lastPrice;
decimal money;
switch (direction)
{
case TradeDirections.Buy:
money = firstMoney + _buyCount * _openMoneyIncrement;
break;
case TradeDirections.Sell:
money = firstMoney + _sellCount * _openMoneyIncrement;
break;
default:
money = firstMoney;
break;
}
if (money <= 0m)
return 0m;
var volume = money / _lastPrice;
volume = NormalizeVolume(volume);
if (volume <= 0m)
return 0m;
_totalFee += _lastPrice * volume * FeeRate;
LogInfo($"Total Fee = {_totalFee:F2}; Grid = {_buyCount + _sellCount} / {GridShares} ({_buyCount}, {_sellCount})");
return volume;
}
private decimal NormalizeVolume(decimal volume)
{
var security = Security;
if (security == null)
return volume;
var step = security.VolumeStep ?? 0m;
if (step > 0m)
volume = step * Math.Round(volume / step, MidpointRounding.AwayFromZero);
var min = 0m;
if (min > 0m && volume < min)
return 0m;
var max = decimal.MaxValue;
if (volume > max)
volume = max;
return volume;
}
private decimal CalculateOpenMoneyIncrement()
{
var halfShares = GridShares / 2m;
if (halfShares <= 1m)
return 0m;
var numerator = _initialBalance / 2m - halfShares / 10m;
if (numerator <= 0m)
numerator = _initialBalance / 4m;
var denominator = halfShares * (halfShares - 1m) / 2m;
if (denominator <= 0m)
return 0m;
return numerator / denominator;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class turn_grid_strategy(Strategy):
"""Simplified grid: SMA crossover (10/30) for direction with alternating trades."""
def __init__(self):
super(turn_grid_strategy, self).__init__()
self._grid_dist = self.Param("GridDistance", 0.01).SetDisplay("Grid Distance", "Relative distance between levels", "Grid")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Candle type", "Data")
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, value): self._candle_type.Value = value
def OnReseted(self):
super(turn_grid_strategy, self).OnReseted()
self._prev_fast = 0
self._prev_slow = 0
self._last_trade_price = 0
def OnStarted2(self, time):
super(turn_grid_strategy, self).OnStarted2(time)
self._prev_fast = 0
self._prev_slow = 0
self._last_trade_price = 0
fast = SimpleMovingAverage()
fast.Length = 10
slow = SimpleMovingAverage()
slow.Length = 30
sub = self.SubscribeCandles(self.CandleType)
sub.Bind(fast, slow, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, sub)
self.DrawOwnTrades(area)
def OnProcess(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
close = float(candle.ClosePrice)
dist = self._grid_dist.Value
if self._prev_fast == 0 or self._prev_slow == 0:
self._prev_fast = fast
self._prev_slow = slow
self._last_trade_price = close
return
# Grid re-entry check
if self._last_trade_price > 0 and dist > 0:
price_move = abs(close - self._last_trade_price) / self._last_trade_price
if price_move < dist:
self._prev_fast = fast
self._prev_slow = slow
return
cross_up = self._prev_fast <= self._prev_slow and fast > slow
cross_down = self._prev_fast >= self._prev_slow and fast < slow
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._last_trade_price = close
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._last_trade_price = close
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return turn_grid_strategy()