LANZ Strategy 3.0
LANZ Strategy 3.0 交易亚洲区间突破。方向在纽约时间01:15–02:15的决策窗口确定,在区间高或低放置限价单并设置基于斐波那契的止盈和止损。若到02:15订单未成交,策略可能反向;未成交的订单在08:00取消,所有持仓于15:45平仓。
细节
- 入场条件:
- 决策窗口后突破亚洲区间高点或低点。
- 方向:多空双向。
- 出场条件:
- 斐波那契止盈或止损。
- 所有持仓在15:45 NY 平仓。
- 止损:斐波那契倍数。
- 默认参数:
UseOptimizedFibo= true
- 过滤器:
- 类型:突破
- 方向:双向
- 指标:无
- 止损:是
- 复杂度:高
- 时间框架:任意
- 季节性:是
- 神经网络:否
- 背离:否
- 风险等级:中
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>
/// LANZ Strategy 3.0 trades breakouts of the Asian range using Fibonacci targets.
/// </summary>
public class Lanz30BacktestStrategy : Strategy
{
private readonly StrategyParam<bool> _useOptimizedFibo;
private readonly StrategyParam<int> _maxEntries;
private readonly StrategyParam<int> _cooldownDays;
private readonly StrategyParam<DataType> _candleType;
private decimal _refHigh;
private decimal _refLow;
private bool _rangeSession;
private decimal? _entryPrice;
private decimal? _tp;
private decimal? _sl;
private bool _directionDefined;
private bool _isBuy;
private bool _tradeExecuted;
private bool _tradeExpired;
private bool _orderSent;
private decimal _lastClose;
private int _entriesExecuted;
private DateTime _nextTradeDate;
/// <summary>
/// Use optimized Fibonacci coefficients.
/// </summary>
public bool UseOptimizedFibo { get => _useOptimizedFibo.Value; set => _useOptimizedFibo.Value = value; }
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
/// <summary>
/// Maximum entries per run.
/// </summary>
public int MaxEntries { get => _maxEntries.Value; set => _maxEntries.Value = value; }
/// <summary>
/// Minimum number of days between entries.
/// </summary>
public int CooldownDays { get => _cooldownDays.Value; set => _cooldownDays.Value = value; }
/// <summary>
/// Initializes a new instance of <see cref="Lanz30BacktestStrategy"/>.
/// </summary>
public Lanz30BacktestStrategy()
{
_useOptimizedFibo = Param(nameof(UseOptimizedFibo), true)
.SetDisplay("Use Optimized Fibo", "Use optimized Fibonacci coefficients", "General");
_maxEntries = Param(nameof(MaxEntries), 20)
.SetGreaterThanZero()
.SetDisplay("Max Entries", "Maximum entries per run", "Risk");
_cooldownDays = Param(nameof(CooldownDays), 2)
.SetGreaterThanZero()
.SetDisplay("Cooldown Days", "Minimum days between entries", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_refHigh = _refLow = 0m;
_rangeSession = false;
_entryPrice = _tp = _sl = null;
_directionDefined = false;
_isBuy = false;
_tradeExecuted = false;
_tradeExpired = false;
_orderSent = false;
_lastClose = 0m;
_entriesExecuted = 0;
_nextTradeDate = DateTime.MinValue;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_entriesExecuted = 0;
_nextTradeDate = DateTime.MinValue;
var dummyEma1 = new ExponentialMovingAverage { Length = 10 };
var dummyEma2 = new ExponentialMovingAverage { Length = 20 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(dummyEma1, dummyEma2, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal d1, decimal d2)
{
if (candle.State != CandleStates.Finished)
return;
var t = candle.OpenTime;
var rangeSession = t.TimeOfDay >= new TimeSpan(9, 30, 0) && t.TimeOfDay < new TimeSpan(11, 0, 0);
var newSession = rangeSession && !_rangeSession;
_rangeSession = rangeSession;
if (newSession)
{
_refHigh = candle.HighPrice;
_refLow = candle.LowPrice;
_entryPrice = _tp = _sl = null;
_directionDefined = false;
_isBuy = false;
_tradeExecuted = false;
_tradeExpired = false;
_orderSent = false;
}
else if (rangeSession)
{
_refHigh = Math.Max(_refHigh, candle.HighPrice);
_refLow = Math.Min(_refLow, candle.LowPrice);
}
var decisionWindow = t.TimeOfDay >= new TimeSpan(11, 0, 0) && t.TimeOfDay < new TimeSpan(12, 0, 0);
var entryWindow = t.TimeOfDay >= new TimeSpan(11, 0, 0) && t.TimeOfDay < new TimeSpan(15, 0, 0);
var expireWindow = t.TimeOfDay >= new TimeSpan(15, 0, 0) && t.TimeOfDay < new TimeSpan(15, 5, 0);
var fallbackTime = t.Hour == 12 && t.Minute == 0;
var closeTime = t.Hour == 15 && t.Minute == 45;
if (decisionWindow && !_directionDefined)
{
var fiboRange = _refHigh - _refLow;
var asiaMid = (_refHigh + _refLow) / 2m;
_isBuy = candle.ClosePrice < asiaMid;
_entryPrice = _isBuy ? _refLow : _refHigh;
if (UseOptimizedFibo)
{
_tp = _isBuy ? _refLow + 1.95m * fiboRange : _refHigh - 1.95m * fiboRange;
_sl = _isBuy ? _refLow - 0.65m * fiboRange : _refHigh + 0.65m * fiboRange;
}
else
{
_tp = _isBuy ? _refLow + 2.25m * fiboRange : _refHigh - 2.25m * fiboRange;
_sl = _isBuy ? _refLow - 0.75m * fiboRange : _refHigh + 0.75m * fiboRange;
}
_directionDefined = true;
}
if (_directionDefined && entryWindow && !_tradeExecuted && !_orderSent && !_tradeExpired && _entriesExecuted < MaxEntries && t.Date >= _nextTradeDate && _entryPrice is decimal price)
{
if (_isBuy)
BuyMarket();
else
SellMarket();
_orderSent = true;
_tradeExecuted = true;
_entriesExecuted++;
_nextTradeDate = t.Date.AddDays(CooldownDays);
}
if (!_tradeExecuted && Position != 0)
_tradeExecuted = true;
if (expireWindow && !_tradeExecuted && !_tradeExpired)
{
_tradeExpired = true;
}
if (_tradeExecuted && _tp is decimal tp && _sl is decimal sl)
{
if (Position > 0)
{
if (candle.LowPrice <= sl)
SellMarket();
else if (candle.HighPrice >= tp)
SellMarket();
}
else if (Position < 0)
{
if (candle.HighPrice >= sl)
BuyMarket();
else if (candle.LowPrice <= tp)
BuyMarket();
}
}
if (closeTime && _tradeExecuted)
{
if (Position > 0)
SellMarket();
else if (Position < 0)
BuyMarket();
}
_lastClose = candle.ClosePrice;
}
}
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 lanz30_backtest_strategy(Strategy):
"""
LANZ 3.0: session range breakout with Fibonacci targets.
"""
def __init__(self):
super(lanz30_backtest_strategy, self).__init__()
self._use_optimized_fibo = self.Param("UseOptimizedFibo", True).SetDisplay("Optimized Fibo", "Use optimized Fibonacci", "General")
self._max_entries = self.Param("MaxEntries", 20).SetDisplay("Max Entries", "Max entries per run", "Risk")
self._cooldown_days = self.Param("CooldownDays", 2).SetDisplay("Cooldown Days", "Min days between entries", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Timeframe", "General")
self._ref_high = 0.0
self._ref_low = 0.0
self._range_session = False
self._tp = 0.0
self._sl = 0.0
self._is_buy = False
self._direction_defined = False
self._trade_executed = False
self._entries = 0
self._last_trade_day = None
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(lanz30_backtest_strategy, self).OnReseted()
self._ref_high = 0.0
self._ref_low = 0.0
self._range_session = False
self._tp = 0.0
self._sl = 0.0
self._is_buy = False
self._direction_defined = False
self._trade_executed = False
self._entries = 0
self._last_trade_day = None
def OnStarted2(self, time):
super(lanz30_backtest_strategy, self).OnStarted2(time)
ema1 = ExponentialMovingAverage()
ema1.Length = 10
ema2 = ExponentialMovingAverage()
ema2.Length = 20
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema1, ema2, self._process_candle).Start()
def _process_candle(self, candle, d1, d2):
if candle.State != CandleStates.Finished:
return
t = candle.OpenTime
hour = t.Hour
minute = t.Minute
close = float(candle.ClosePrice)
high = float(candle.HighPrice)
low = float(candle.LowPrice)
range_session = hour >= 9 and hour < 11
new_session = range_session and not self._range_session
self._range_session = range_session
if new_session:
self._ref_high = high
self._ref_low = low
self._tp = 0
self._sl = 0
self._direction_defined = False
self._is_buy = False
self._trade_executed = False
elif range_session:
if high > self._ref_high:
self._ref_high = high
if low < self._ref_low:
self._ref_low = low
decision_window = hour == 11
entry_window = 11 <= hour < 15
close_time = hour == 15 and minute >= 45
if decision_window and not self._direction_defined and self._ref_high > self._ref_low:
fibo_range = self._ref_high - self._ref_low
asia_mid = (self._ref_high + self._ref_low) / 2.0
self._is_buy = close < asia_mid
if self._use_optimized_fibo.Value:
self._tp = (self._ref_low + 1.95 * fibo_range) if self._is_buy else (self._ref_high - 1.95 * fibo_range)
self._sl = (self._ref_low - 0.65 * fibo_range) if self._is_buy else (self._ref_high + 0.65 * fibo_range)
else:
self._tp = (self._ref_low + 2.25 * fibo_range) if self._is_buy else (self._ref_high - 2.25 * fibo_range)
self._sl = (self._ref_low - 0.75 * fibo_range) if self._is_buy else (self._ref_high + 0.75 * fibo_range)
self._direction_defined = True
today = t.Date
can_trade = self._entries < self._max_entries.Value
if self._last_trade_day is not None:
diff = (today - self._last_trade_day).Days
if diff < self._cooldown_days.Value:
can_trade = False
if self._direction_defined and entry_window and not self._trade_executed and can_trade:
if self._is_buy:
self.BuyMarket()
else:
self.SellMarket()
self._trade_executed = True
self._entries += 1
self._last_trade_day = today
if self._trade_executed and self._tp != 0 and self._sl != 0:
if self.Position > 0:
if low <= self._sl:
self.SellMarket()
elif high >= self._tp:
self.SellMarket()
elif self.Position < 0:
if high >= self._sl:
self.BuyMarket()
elif low <= self._tp:
self.BuyMarket()
if close_time and self._trade_executed:
if self.Position > 0:
self.SellMarket()
elif self.Position < 0:
self.BuyMarket()
def CreateClone(self):
return lanz30_backtest_strategy()