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買取戦略を後押しする

作者: リン・ハーンチャオチャン,日付: 2023年10月9日 14:53:02
タグ:

概要

トレーリング・バイ・ストラテジーとは,トレンドをフォローする戦略である. 急速移動平均がスロー移動平均を横切ると,オープンポジション信号が起動する. 直接オープンポジションと異なり,この戦略はオープンポジション信号が起動した直後に市場に直接入らないが,価格が特定の条件に達するときにのみ購入オーダーを実行する. これにより,戦略の利益は一定程度増加する.

原則

この戦略は,2つの移動平均を持つ移動平均クロスオーバーシステムに基づいています. 移動平均はそれぞれ,移動平均はそれぞれ計算されます. 移動平均が移動平均を横切ると,長い信号が生成されます.

実行ロジックは,トレーリング・バイ オプションが有効になった場合,異なります.

  1. 直接購入する代わりに その時点の最低価格を記録します

  2. 次に,購入価格の限界値を,最も低い価格* (1 + %) と呼ばれる,最後の購入パーセントに基づいて計算します.

  3. 次のバーで,現在のバーの最低価格と購入価格の値を比較し続けます.

  4. 最低価格が購入価格の限界を超えると,購入オーダーを実行します.

  5. この方法で 傾向が確認された後 より良い価格で市場に参入できます

利点分析

この戦略の利点は次のとおりです.

  1. トレーリング・バイの利用は,トレンドが明らかになった後に市場に参入することで,偽のブレイクアウトのリスクを回避できます.

  2. トレーリング・バイで より良い価格を得られ,利益も一定程度向上します

  3. この戦略はシンプルで実行が簡単です

  4. 引き継ぐ買い上げ率はカスタマイズ可能で 戦略は柔軟になります

  5. 移動平均期は,異なる市場環境に適応するように調整できます.

リスク分析

この戦略にはいくつかのリスクもあります:

  1. 遅い買い物は 遅延を招いて 進出の機会を逃す可能性があります

  2. トレイリング・バイ・ステップ・パーセンテージの不適切な設定は,購入できない結果になる可能性があります.

  3. 不適切な移動平均周期により 誤った信号が増える可能性があります

  4. 戦略は様々な市場で大きな損失を被る可能性があります.

  5. これはパラメータの最適化のための空間を持つ シンプルな戦略です

対応する措置は:

  1. 遅延を減らすために,適切な後続購入ステップパーセンテージを短縮します.

  2. 最適な値を見つけるために 異なるパーセント設定をテストします

  3. 移動平均期間を最適化して市場を適応させる

  4. 他のフィルターを追加して 市場差を回避します

  5. 損失を減らすためにストップロスを追加することを検討します.

オプティマイゼーションの方向性

戦略は以下の方向で最適化できる:

  1. 価格と量の不一致を避けるために,Klingerのような価格と量の指標を追加します.

  2. ボリュームが拡大するときにのみ購入します.

  3. 異なる製品に対する移動平均期間の最適化

  4. 波動性指標を追加して 波動ゾーンを回避します

  5. ATRストップ損失を追加します.

  6. トレンドが明らかになると 速く進みます

結論

トレイリング・バイ・ストラテジーは,価格をよりよいエントリーポイントに引きずりながらシンプルに保つことで戦略を改善する.しかし,この戦略には,より多くの市場状況に適応するためにさらなる最適化を必要とするいくつかのリスクが残っています.全体的に,この戦略は定量取引のための参照に値するアイデアを提供します.


/*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)

// ==================================================================================================================

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