跟踪买入策略是一种趋势跟随策略。当快速移动平均线上穿慢速移动平均线时,触发开仓信号。与直接开仓不同,该策略在开仓信号触发后,不会立即入场,而是在价格达到一定条件后才执行买入。这可以在一定程度上提高策略收益。
该策略基于两个移动平均线均线交叉系统。分别计算快速移动平均线和慢速移动平均线,当快速移动平均线上穿慢速移动平均线时,给出做多信号。
在开启跟踪选项后,策略执行逻辑会有所不同:
当做多信号触发时,不会立即买入,而是记录该时刻的最低价。
然后根据跟踪买入设置的百分比,计算买入价格阈值,即最低价*(1+百分比)。
在后续K线中,持续比较当前K线的最低价与买入价格阈值。
当最低价上穿买入价格阈值时,执行买入。
如此,可以在趋势确认后,选择一个更佳的价格点入场。
该策略具有以下优势:
采用跟踪买入,可以在趋势更加明确后入场,从而避免假突破所造成的风险。
通过跟踪买入,可以以更好的价格入场,在一定程度上提升收益。
该策略较为简单易懂,容易实施。
可自定义跟踪买入的步进百分比,使策略更具灵活性。
可自定义移动平均线周期,适用于不同市场环境。
该策略也存在一定风险:
采用跟踪买入会带来一定的滞后,可能错过入场机会。
跟踪买入的步进百分比设置不当,可能导致始终无法买入。
移动平均线周期设置不当,可能产生更多假信号。
如遇到震荡行情,该策略可能亏损严重。
该策略比较简单,存在超参数优化空间。
对应风险,可以采取以下措施:
适当缩短跟踪买入的步进百分比,降低滞后。
测试不同百分比设置,找到最佳参数。
优化移动平均线周期,适应市场环境。
增加其他过滤条件,避免震荡行情。
可以考虑加入止损,降低亏损。
该策略可以从以下方向进行优化:
增加热点度等量价指标,避免量价不匹配。
增加成交量的条件判断,只在成交量放大的时候买入。
优化移动平均线周期参数,适应不同品种。
增加波动率指标,避免震荡区间。
加入ATR止损。
可以考虑让步进百分比动态变化,在趋势更明显时步进更快。
综上所述,跟踪买入策略通过跟踪价格达到更好入场点的思路进行改进,在保持简单的基础上提高了策略收益。但该策略也存在一定风险,需要进行进一步优化以适应更多市场情况。总体来说,该策略为量化交易提供了一个可资借鉴的思路。
/*backtest
start: 2023-10-01 00:00:00
end: 2023-10-08 00:00:00
period: 5m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// -----------------------------------------------------------------------------
// Copyright 2022 Iason Nikolas | jason5480
// Trailing Buy script may be freely distributed under the MIT license.
//
// Permission is hereby granted, free of charge,
// to any person obtaining a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge,
// publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so,
// subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
// -----------------------------------------------------------------------------
//
// Authors: @jason5480
// Revision: v1.0.0
// Date: 15-Feb-2022
//
// Description
// =============================================================================
// This strategy will go long if fast MA crosses over slow MA.
// If the trailing buy is checked then the strategy instead of entering into the position
// directly it will follow the price downwards (percentagewise) with small steps
// If the price raise by this percentage then the entry order will be executed
//
// The strategy has the following parameters:
//
// Fast SMA Length - How many candles back to calculte the fast SMA.
// Slow SMA Length - How many candles back to calculte the slow SMA.
// Enable Trailing - Enable or disable the trailing
// Training Buy Deviation % - The step to follow the price when the open position condition is met.
// Source Buy - The price to compare the current buyPrice in order to trigger the buy order when trailing
//
// -----------------------------------------------------------------------------
// Disclaimer:
// 1. I am not licensed financial advisors or broker dealer. I do not tell you
// when or what to buy or sell. I developed this software which enables you
// execute manual or automated using TradingView. The
// software allows you to set the criteria you want for entering and exiting
// trades.
// 2. Do not trade with money you cannot afford to lose.
// 3. I do not guarantee consistent profits or that anyone can make money with no
// effort. And I am not selling the holy grail.
// 4. Every system can have winning and losing streaks.
// 5. Money management plays a large role in the results of your trading. For
// example: lot size, account size, broker leverage, and broker margin call
// rules all have an effect on results. Also, your Take Profit and Stop Loss
// settings for individual pair trades and for overall account equity have a
// major impact on results. If you are new to trading and do not understand
// these items, then I recommend you seek education materials to further your
// knowledge.
//
// YOU NEED TO FIND AND USE THE TRADING SYSTEM THAT WORKS BEST FOR YOU AND YOUR
// TRADING TOLERANCE.
//
// I HAVE PROVIDED NOTHING MORE THAN A TOOL WITH OPTIONS FOR YOU TO TRADE WITH THIS PROGRAM ON TRADINGVIEW.
//
// I accept suggestions to improve the script.
// If you encounter any problems I will be happy to share with me.
// -----------------------------------------------------------------------------
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// SETUP ============================================================================================================
strategy(title = 'Trailing Buy',
shorttitle = 'TB',
overlay = true,
pyramiding = 0,
default_qty_type = strategy.percent_of_equity,
default_qty_value = 100,
initial_capital = 100000)
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// FILTERS ==========================================================================================================
// INPUT ============================================================================================================
usefromDate = input.bool(defval = true, title = 'From', inline = "From Date", group = "Filters")
fromDate = input(defval = timestamp('01 Jan 2021 00:00 UTC'), title = '', inline = "From Date", group = 'Filters')
usetoDate = input.bool(defval = false, title = 'To ', inline = "To Date", group = "Filters")
toDate = input(defval = timestamp('31 Dec 2121 23:59 UTC'), title = '', inline = "To Date", group = 'Filters')
// LOGIC ============================================================================================================
isWithinPeriod() => true
// PLOT =============================================================================================================
bgcolor(color = isWithinPeriod() ? color.new(color.gray, 90) : na, title = 'Period')
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// STRATEGY =========================================================================================================
// INPUT ============================================================================================================
fastMALen = input.int(defval = 21, title = 'Fast/Slow SMA Length', inline = 'MA Length', group = 'Strategy')
slowMALen = input.int(defval = 49, title = '', tooltip = 'How many candles back to calculte the fast/slow SMA.', inline = 'MA Length', group = 'Strategy')
// LOGIC ============================================================================================================
fastMA = ta.sma(close, fastMALen)
slowMA = ta.sma(close, slowMALen)
bool openLongPosition = isWithinPeriod() and ta.crossover(fastMA, slowMA)
bool closeLongPosition = ta.crossunder(fastMA, slowMA)
bool longIsActive = openLongPosition or strategy.position_size > 0
// PLOT =============================================================================================================
var fastColor = color.new(#0056BD, 0)
plot(series = fastMA, title = 'Fast SMA', color = fastColor, linewidth = 1, style = plot.style_line)
var slowColor = color.new(#FF6A00, 0)
plot(series = slowMA, title = 'Slow SMA', color = slowColor, linewidth = 1, style = plot.style_line)
plotshape(series = openLongPosition and strategy.position_size <= 0 ? fastMA : na, title = 'Buy', text = 'Buy', style = shape.labelup, location = location.absolute, color = color.new(color.green, 0), textcolor = color.new(color.white, 0), size = size.tiny)
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// BUY ==============================================================================================================
// INPUT ============================================================================================================
enableTrailing = input.bool(defval = true, title = 'Enable Trailing', tooltip = 'Enable or disable the trailing for buy.', group = 'Buy')
trailingBuyDeviationPerc = input.float(defval = 4.0, title = 'Trailing Buy Deviation %', minval = 0.01, maxval = 100, step = 0.05, tooltip = 'The step to follow the price when the open position condition is met.', group = 'Buy') / 100
srcBuy = input.source(defval = high, title = 'Source Buy', tooltip = 'The price to check to trigger the buy order', group = 'Buy')
// LOGIC ============================================================================================================
int barsSinceOpenLong = nz(ta.barssince(openLongPosition), 999999)
int barsSinceCloseLong = nz(ta.barssince(closeLongPosition), 999999)
bool tryOpenLongPosition = isWithinPeriod() and barsSinceCloseLong >= barsSinceOpenLong and not (strategy.position_size > 0)
float longBuyPrice = na
longBuyPrice := if openLongPosition and not (strategy.position_size > 0)
low * (1 + trailingBuyDeviationPerc)
else if tryOpenLongPosition
math.min(low * (1 + trailingBuyDeviationPerc), nz(longBuyPrice[1], 999999))
else
na
bool executeLongPosition = enableTrailing ? isWithinPeriod() and srcBuy > longBuyPrice : openLongPosition
// PLOT =============================================================================================================
var buyColor = color.new(#419388, 0)
plot(series = enableTrailing ? longBuyPrice : na, title = 'Long Buy Price', color = buyColor, linewidth = 1, style = plot.style_linebr, offset = 1)
//
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
// POSITION ORDERS ==================================================================================================
// LOGIC ============================================================================================================
// getting into LONG position
strategy.entry(id = 'Long Entry', direction = strategy.long, when = executeLongPosition, alert_message = 'Long(' + syminfo.ticker + '): Started')
// submit close order on trend reversal
strategy.close(id = 'Long Entry', when = closeLongPosition, comment = 'Close Long', alert_message = 'Long(' + syminfo.ticker + '): Closed at market price')
// PLOT =============================================================================================================
var posColor = color.new(color.white, 0)
plot(series = strategy.position_avg_price, title = 'Position', color = posColor, linewidth = 1, style = plot.style_linebr)
// ==================================================================================================================