Name
周一买入周三止盈策略Buy-Monday-Sell-Wednesday-Trading-Strategy
Author
ChaoZhang
Strategy Description
[trans]
本策略围绕交易周期性规律设计,在周一尾盘买入,并在周三开盘前止盈退出,捕捉该波段的价格趋势行情。属于典型的机械交易策略。
策略原理:
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每周一收盘前执行买入操作,开启多头仓位。
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每周三开盘前执行止盈退出多头仓位。
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设置止损百分比,避免亏损扩大。
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设置止盈百分比目标,锁定盈利。
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绘制止盈止损线,直观展示盈亏情况。
该策略的优势:
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周期交易方式回撤风险较小,历史表现较优。
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规则固定明确,便于算法化交易执行。
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止盈止损设置简单实用。
该策略的风险:
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无法适应突发事件对周期模式的影响。
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滞后止损 Unable 限制单笔亏损扩大。
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锁定盈利后无法跟踪进一步行情。
总之,该策略采用机械化的周期交易方式,回测效果显著,但难以应对周期模式突变,投资者需谨慎使用。
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This strategy trades the weekly cyclical pattern by entering long on Monday close and taking profit before Wednesday open to capture the price swing during this period. It is a typical mechanical system.
Strategy Logic:
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Execute long entry on every Monday close.
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Take profit to exit long before every Wednesday open.
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Set stop loss percentage to limit loss.
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Set take profit target percentage to lock in gains.
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Plot stop and profit lines for visual P&L.
Advantages:
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Cyclical trading has smaller drawdowns and good historical returns.
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Fixed rules easy to automate and execute.
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Simple stop loss and take profit configuration.
Risks:
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Cannot adapt to events disrupting the cycle.
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Lagging stop loss Unable to limit loss on single trade.
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Locked in profit Unable to track further upside.
In summary, this mechanical cyclical system has impressive backtests but struggles to adapt when the pattern changes. Investors should apply prudent discretion.
[/trans]
Strategy Arguments
Argument | Default | Description |
---|---|---|
v_input_float_1 | 4 | StopLoss % |
v_input_float_2 | 3 | Take Profit % |
Source (PineScript)
/*backtest
start: 2023-08-12 00:00:00
end: 2023-09-11 00:00:00
period: 4h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © processingclouds
// @description Strategy to go long at end of Monday and exit by Tuesday close, or at stop loss or take profit percentages
//@version=5
strategy("Buy Monday, Exit Wednesday", "Mon-Wed Swings",overlay=true)
// ----- Inputs: stoploss %, takeProfit %
stopLossPercentage = input.float(defval=4.0, title='StopLoss %', minval=0.1, step=0.2) / 100
takeProfit = input.float(defval=3.0, title='Take Profit %', minval=0.3, step=0.2) / 100
// ----- Exit and Entry Conditions - Check current day and session time
isLong = dayofweek == dayofweek.monday and not na(time(timeframe.period, "1400-1601"))
isExit = dayofweek == dayofweek.wednesday and not na(time(timeframe.period, "1400-1601"))
// ----- Calculate Stoploss and Take Profit values
SL = strategy.position_avg_price * (1 - stopLossPercentage)
TP = strategy.position_avg_price * (1 + takeProfit)
// ----- Strategy Enter, and exit when conditions are met
strategy.entry("Enter Long", strategy.long, when=isLong)
if strategy.position_size > 0
strategy.close("Enter Long", isExit)
strategy.exit(id="Exit", stop=SL, limit=TP)
// ----- Plot Stoploss and TakeProfit lines
plot(strategy.position_size > 0 ? SL : na, style=plot.style_linebr, color=color.red, linewidth=2, title="StopLoss")
plot(strategy.position_size > 0 ? TP : na, style=plot.style_linebr, color=color.green, linewidth=2, title="TakeProfit")
Detail
https://www.fmz.com/strategy/426511
Last Modified
2023-09-12 16:44:53