Random Bias Trader 策略
Random Bias Trader 策略通过 StockSharp 高层 API 复刻 MetaTrader 的“random trader”专家顾问。 每根已完成的K线都会抛掷一次虚拟硬币,在没有持仓时按照结果开多或开空。 止损和止盈可以来自 ATR(10) 的倍数,也可以使用固定点数,并按收益/风险比进行放大。 仓位规模基于账户风险百分比计算,同时受交易品种最小/最大手数限制。 启用保本后,当浮盈达到指定点数时,止损会自动移动到开仓价。
详情
- 数据:由
CandleType指定的一组蜡烛数据。 - 入场条件:
- 多头:当前无持仓,抛硬币得到多头,按最近收盘价买入。
- 空头:当前无持仓,抛硬币得到空头,按最近收盘价卖出。
- 离场条件:
- 止损:
LossPipDistance× 点值或LossAtrMultiplier× ATR(10),取决于LossType。 - 止盈:在止损距离基础上乘以
RewardRiskRatio。 - 保本:启用时,盈利达到
BreakevenDistancePips点后将止损移至开仓价。
- 止损:
- 止损:每笔交易都会设置动态止损与止盈,可选保本功能。
- 默认参数:
CandleType= 1 分钟周期RewardRiskRatio= 2.0LossType= PipLossAtrMultiplier= 5.0LossPipDistance= 20 点RiskPercentPerTrade= 1%UseBreakeven= 启用BreakevenDistancePips= 10 点UseMaxMargin= 启用
- 筛选标签:
- 类型:随机 / 趋势中性
- 方向:双向,由抛硬币决定
- 指标:ATR(10)(可选)
- 复杂度:入门
- 风险等级:中等,随止损宽度变化
说明
- 如果基于风险的仓位过小,可选择使用合约允许的最大手数进行下单。
- 下单前会将止损与止盈价格按最小价格步长取整。
- 保本机制保证任意时刻只有一笔仓位,与原版 MetaTrader 策略保持一致。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Random trade generator with ATR-based risk management.
/// Opens a random long or short position on each candle when flat,
/// with stop loss and take profit based on ATR.
/// </summary>
public class RandomBiasTraderStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _rewardRiskRatio;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<int> _atrPeriod;
private Random _random;
private decimal _entryPrice;
private int _direction; // 1=long, -1=short, 0=flat
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public decimal RewardRiskRatio
{
get => _rewardRiskRatio.Value;
set => _rewardRiskRatio.Value = value;
}
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
public RandomBiasTraderStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "Data");
_rewardRiskRatio = Param(nameof(RewardRiskRatio), 3m)
.SetDisplay("Reward/Risk", "Reward to risk ratio", "Risk");
_atrMultiplier = Param(nameof(AtrMultiplier), 3m)
.SetDisplay("ATR Multiplier", "ATR multiplier for stop distance", "Risk");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetDisplay("ATR Period", "ATR indicator period", "Risk");
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_random = new Random(42);
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (atrValue <= 0)
return;
var stopDistance = atrValue * AtrMultiplier;
var takeDistance = stopDistance * RewardRiskRatio;
var close = candle.ClosePrice;
// Check exit for existing position
if (_direction > 0)
{
if (close >= _entryPrice + takeDistance || close <= _entryPrice - stopDistance)
{
SellMarket();
_direction = 0;
}
return;
}
else if (_direction < 0)
{
if (close <= _entryPrice - takeDistance || close >= _entryPrice + stopDistance)
{
BuyMarket();
_direction = 0;
}
return;
}
// Open new random position
if (_random.Next(4) != 0)
return;
if (_random.Next(2) == 0)
{
BuyMarket();
_entryPrice = close;
_direction = 1;
}
else
{
SellMarket();
_entryPrice = close;
_direction = -1;
}
}
/// <inheritdoc />
protected override void OnReseted()
{
_random = null;
_entryPrice = 0;
_direction = 0;
base.OnReseted();
}
}
import clr
import random
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 AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class random_bias_trader_strategy(Strategy):
def __init__(self):
super(random_bias_trader_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._reward_risk_ratio = self.Param("RewardRiskRatio", 3.0)
self._atr_multiplier = self.Param("AtrMultiplier", 3.0)
self._atr_period = self.Param("AtrPeriod", 14)
self._rng = None
self._entry_price = 0.0
self._direction = 0
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def RewardRiskRatio(self):
return self._reward_risk_ratio.Value
@RewardRiskRatio.setter
def RewardRiskRatio(self, value):
self._reward_risk_ratio.Value = value
@property
def AtrMultiplier(self):
return self._atr_multiplier.Value
@AtrMultiplier.setter
def AtrMultiplier(self, value):
self._atr_multiplier.Value = value
@property
def AtrPeriod(self):
return self._atr_period.Value
@AtrPeriod.setter
def AtrPeriod(self, value):
self._atr_period.Value = value
def OnReseted(self):
super(random_bias_trader_strategy, self).OnReseted()
self._rng = None
self._entry_price = 0.0
self._direction = 0
def OnStarted2(self, time):
super(random_bias_trader_strategy, self).OnStarted2(time)
self._rng = random.Random(42)
self._entry_price = 0.0
self._direction = 0
atr = AverageTrueRange()
atr.Length = self.AtrPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(atr, self._process_candle).Start()
def _process_candle(self, candle, atr_value):
if candle.State != CandleStates.Finished:
return
atr_val = float(atr_value)
if atr_val <= 0:
return
close = float(candle.ClosePrice)
atr_mult = float(self.AtrMultiplier)
rr_ratio = float(self.RewardRiskRatio)
stop_distance = atr_val * atr_mult
take_distance = stop_distance * rr_ratio
# Check exit for existing position
if self._direction > 0:
if close >= self._entry_price + take_distance or close <= self._entry_price - stop_distance:
self.SellMarket()
self._direction = 0
return
elif self._direction < 0:
if close <= self._entry_price - take_distance or close >= self._entry_price + stop_distance:
self.BuyMarket()
self._direction = 0
return
# Open new random position
if self._rng.randint(0, 3) != 0:
return
if self._rng.randint(0, 1) == 0:
self.BuyMarket()
self._entry_price = close
self._direction = 1
else:
self.SellMarket()
self._entry_price = close
self._direction = -1
def CreateClone(self):
return random_bias_trader_strategy()