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Стратегия двойного прорыва

Автор:Чао Чжан, Дата: 2024-01-30 17:27:01
Тэги:

Обзор

Это двойная торговая стратегия прорыва, основанная на K-линии. Она будет генерировать торговые сигналы, когда цена закрытия текущей K-линии имеет прорыв относительно самой высокой и самой низкой цен предыдущих двух K-линий.

Принцип стратегии

Основная логика стратегии заключается в следующем:

Определите сигнал быка:bull = close > open and close > math.max(close[2], open[2]) and low[1] < low[2] and high[1] < high[2]То есть, цена закрытия текущей K-линии больше цены открытия и больше высокой цены двух предыдущих K-линий, в то время как самая низкая цена текущей K-линии ниже низкой цены предыдущей K-линии.
Определите сигнал медведя:bear = close < open and close < math.min(close[2], open[2]) and low[1] > low[2] and high[1] > high[2]То есть цена закрытия текущей K-линии меньше цены открытия и меньше самой низкой цены двух предыдущих K-линий, в то время как самая высокая цена текущей K-линии выше самой высокой цены предыдущей K-линии.
Когда сигнал быка проявляется, вы идете на длинный; когда сигнал медведя проявляется, вы идете на короткий.
Стоп-лосс и прибыль могут быть установлены.

Стратегия использует характеристики двойных прорывов для оценки изменений тенденций через прорывы ключевых ценовых зон, тем самым генерируя торговые сигналы.

Анализ преимуществ

Это относительно простая и интуитивно понятная стратегия выхода с следующими преимуществами:

Логика ясна и легко понятна и реализована, с низким барьером для входа.
Прорывы - это распространенные торговые сигналы, которые, как правило, легко формируют тенденции.
Идти как длинным, так и коротким позволяет вести двойную торговлю, увеличивая возможности получения прибыли.
Гибкие параметры стоп-лосса и прибыли помогают контролировать риск.

Анализ рисков

Стратегия также сопряжена с некоторыми рисками:

Двусторонняя торговля сопряжена с более высокими рисками и требует тщательного контроля.
Убежища могут быть уязвимы для ловушек, потенциально формируя ложные сигналы.
Неправильное настройка параметров может привести к переоценке.
Неправильные настройки стоп-лосса и прибыли также могут повлиять на потенциал прибыли.

Риски могут быть уменьшены путем оптимизации параметров и надлежащей фильтрации продуктов.

Руководство по оптимизации

Стратегия может быть оптимизирована в следующих аспектах:

Оптимизируйте такие параметры, как цикл выхода, диапазон стоп-лосса/прибыли и т.д.
Добавить условия фильтрации, чтобы избежать ошибок от арбитража, боковых движений и т.д.
Включить индикаторы тенденции, чтобы избежать диапазонов консолидации.
Оптимизировать управление капиталом, улучшить алгоритмы позиционирования.
Различные параметры для разных продуктов, тестирование и оптимизация отдельно.

Резюме

Это простая стратегия, основанная на концепции двойного прорыва. Она имеет преимущество четкой логики и простой реализации, но также несет определенные риски мониторинга. Лучшие результаты стратегии можно ожидать через оптимизацию параметров и условий.

/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-31 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5

// # ========================================================================= #
// #                   |   Strategy  |
// # ========================================================================= #

SystemName = "Strategy Template Autoview"
TradeId = "S"
// These values are used both in the strategy() header and in the script's relevant inputs as default values so they match.
// Unless these values match in the script's Inputs and the TV backtesting Properties, results between them cannot be compared.
InitCapital = 1000000
InitPosition = 2
InitCommission = 0.075
InitPyramidMax = 1
CalcOnorderFills = false
ProcessOrdersOnClose = true // display the signals one candle earlier
CalcOnEveryTick = true // forward testing
//CloseEntriesRule = "ANY"

strategy(title=SystemName, shorttitle=SystemName, 
 overlay=true, pyramiding=InitPyramidMax, initial_capital=InitCapital, default_qty_type=strategy.fixed, process_orders_on_close=ProcessOrdersOnClose,
 default_qty_value=InitPosition, commission_type=strategy.commission.percent, commission_value=InitCommission, calc_on_order_fills=CalcOnorderFills, 
 calc_on_every_tick=CalcOnEveryTick, 
 precision=6, max_lines_count=500, max_labels_count=500)

// # ========================================================================= #
// # ========================================================================= #
// #                   ||   Alerts  ||
// # ========================================================================= #
// # ========================================================================= #

show_alerts_debug = input.bool(true, title = "Show Alerts Debug Label?", group = "Debug")

//i_alert_txt_entry_long = input.text_area(defval = "", title = "Long Entry Message", group = "Alerts")
//i_alert_txt_entry_short = input.text_area(defval = "", title = "Short Entry Message", group = "Alerts")
//i_alert_txt_exit_long = input.text_area(defval = "", title = "Long Exit Message", group = "Alerts")
//i_alert_txt_exit_short = input.text_area(defval = "", title = "Short Exit Message", group = "Alerts")

i_broker_mode = input.string("DEMO", title = "Use Demo or Live Broker", options=["DEMO", "LIVE"], group = "Automation")
i_broker_name = input.string("Tradovate", title = "Broker Name", options=["Tradovate", "AscendEX", "Binance", "Binance Futures", "Binance US", "Binance Delivery", "Kraken", "Deribit", "Poloniex", "Okcoin", "Bitfinex", "Oanda", "Kucoin", "Okex", "Bybit", "FTX", "Bitmex", "Alpaca", "Gemini"], group = "Automation")

i_enable_trades = input.bool(true, title = "Enable trades?", group = "Automation", tooltip = "If not enabled, disables live trades, but more importantly, it will output what Autoview is going to do when you go live.")

i_account_name = input.string("*", title = "Account Name", group = "Automation")
i_symbol_name  = input.string("btcusd_perp", title = "Symbol Name", group = "Automation")
nb_contracts = input.int(2, title = "Nb Contracts", group = "Automation")

use_delay = input.bool(false, title = "Use Delay between orders", group = "Automation", inline = "delay")
i_delay_qty = input.int(1, title = "Delay in seconds", group = "Automation", inline = "delay")

i_use_borrow_repay   = input.bool(false, title = "Use Borrow/Repay Mode?", group = "Binance Automation")
i_asset_borrow_repay = input.string("BTC", title = "Asset to Borrow/Repay", group = "Binance Automation")
i_qty_borrow_repay   = input.float(1., title = "Quantity of assets to borrow?", group = "Binance Automation")

// # ========================================================================= #
// # ========================================================================= #
// #                   ||   Dates Range Filtering  ||
// # ========================================================================= #
// # ========================================================================= #

DateFilter = input(false, "Date Range Filtering", group="Date")

// ————— Syntax coming from https://www.tradingview.com/blog/en/new-parameter-for-date-input-added-to-pine-21812/
i_startTime = input(defval = timestamp("01 Jan 2019 13:30 +0000"), title = "Start Time", group="Date")
i_endTime = input(defval = timestamp("30 Dec 2021 23:30 +0000"), title = "End Time", group="Date")

TradeDateIsAllowed() => true


// # ========================================================================= #
// #                   |   Custom Exits |
// # ========================================================================= #

//use_custom_exit = input.bool(true, title = "Use Custom Exits?", group = "Custom Exits")

// # ========================================================================= #
// #                   |   Stop Loss |
// # ========================================================================= #

use_sl        = input.string("None", title = "Select Stop Loss Mode", options=["None", "Percent", "Price"], group = "Stop Loss")
sl_input_perc = input.float(3, minval = 0, title = "Stop Loss (%)", group = "Stop Loss (%)") * 0.01
sl_input_pips = input.float(30, minval = 0, title = "Stop Loss (USD)", group = "Stop Loss (USD)")

// # ========================================================================= #
// #                   |   Take Profit |
// # ========================================================================= #

use_tp       = input.string("None", title = "Select Take Profit Mode", options=["None", "Percent", "Price"], group = "Take Profit")
tp_input_perc = input.float(3, minval = 0, title = "Take Profit (%)", group = "Take Profit (%)") * 0.01
tp_input_pips = input.float(30, minval = 0, title = "Take Profit (USD)", group = "Take Profit (USD)")


// # ========================================================================= #
// #                   |   Consolidated Entries |
// # ========================================================================= #

bull = close > open and close > math.max(close[2], open[2]) and low[1] < low[2] and high[1] < high[2] // low < low[1] and low[1] < low[2] 
bear = close < open and close < math.min(close[2], open[2]) and low[1] > low[2] and high[1] > high[2] // low < low[1] and low[1] < low[2] 

// # ========================================================================= #
// #       |   Entry Price |
// # ========================================================================= #

entry_long_price  = ta.valuewhen(condition=bull and strategy.position_size[1] <= 0, source=close, occurrence=0)
entry_short_price = ta.valuewhen(condition=bear and strategy.position_size[1] >= 0, source=close, occurrence=0)

var float entry_price = 0.

if bull
    entry_price := entry_long_price
if bear
    entry_price := entry_short_price

// # ========================================================================= #
// #                   ||   Global Trend Variables ||
// # ========================================================================= #

T1_sinceUP = ta.barssince(bull)
T1_sinceDN = ta.barssince(bear)

T1_nUP = ta.crossunder(T1_sinceUP,T1_sinceDN)
T1_nDN = ta.crossover(T1_sinceUP,T1_sinceDN)

T1_sinceNUP = ta.barssince(T1_nUP)
T1_sinceNDN = ta.barssince(T1_nDN)

T1_BuyTrend  = T1_sinceDN > T1_sinceUP
T1_SellTrend = T1_sinceDN < T1_sinceUP

T1_SellToBuy   = T1_BuyTrend and T1_SellTrend[1]
T1_BuyToSell   = T1_SellTrend and T1_BuyTrend[1]
T1_ChangeTrend = T1_BuyToSell or T1_SellToBuy

// # ========================================================================= #
// #                   |   Stop Loss |
// # ========================================================================= #

var float final_SL_Long  = 0.
var float final_SL_Short = 0.

if use_sl == "Percent"
    final_SL_Long := entry_long_price * (1 - sl_input_perc)
    final_SL_Short := entry_short_price * (1 + sl_input_perc)
else if use_sl == "Price"
    final_SL_Long := entry_long_price - (sl_input_pips)
    final_SL_Short := entry_short_price + (sl_input_pips)

plot(strategy.position_size > 0 and use_sl != "None" ? final_SL_Long : na, title = "SL Long", color = color.fuchsia, linewidth=2, style=plot.style_linebr)
plot(strategy.position_size < 0 and use_sl != "None" ? final_SL_Short : na, title = "SL Short", color = color.fuchsia, linewidth=2, style=plot.style_linebr)

// # ========================================================================= #
// #                   |   Take Profit |
// # ========================================================================= #

var float final_TP_Long  = 0.
var float final_TP_Short = 0.

if use_tp == "Percent"
    final_TP_Long := entry_long_price   * (1 + tp_input_perc)
    final_TP_Short := entry_short_price * (1 - tp_input_perc)
else if use_tp == "Price"
    final_TP_Long := entry_long_price   + (tp_input_pips)
    final_TP_Short := entry_short_price - (tp_input_pips)

plot(strategy.position_size > 0 and use_tp != "None" ? final_TP_Long : na, title = "TP Long", color = color.orange, linewidth=2, style=plot.style_linebr)
plot(strategy.position_size < 0 and use_tp != "None" ? final_TP_Short : na, title = "TP Short", color = color.orange, linewidth=2, style=plot.style_linebr)

// # ========================================================================= #
// #                   |   AutoView Calls |
// # ========================================================================= #

float quantity = nb_contracts

string product_type_ticker = i_symbol_name

var string broker_mode = ""

if i_broker_mode == "DEMO"

    broker_mode := switch i_broker_name
        "Tradovate" => "tradovatesim"
        "Ascendex"  => "ascendex-sandbox"
        "Binance Futures" => "binancefuturestestnet"
        "Binance Delivery" => "binancedeliverytestnet"
        "Oanda" => "oandapractice"
        "Bitmex" => "bitmextestnet"
        "Bybit" => "bybittestnet"
        "Alpaca" => "alpacapaper"
        "Kucoin" => "kucoinsandbox"
        "Deribit" => "deribittestnet"
        "Gemini" => "gemini-sandbox"
        => i_broker_name

else // "LIVE"

    broker_mode := switch i_broker_name
        "Tradovate" => "tradovate"
        "Ascendex"  => "ascendex"
        "Binance Futures" => "binancefutures"
        "Binance Delivery" => "binancedelivery"
        "Binance" => "binance"
        "Oanda" => "oanda"
        "Kraken" => "kraken"
        "Deribit" => "deribit"
        "Bitfinex" => "bitfinex"
        "Poloniex" => "poloniex"
        "Bybit" => "bybit"
        "Okcoin" => "okcoin"
        "Kucoin" => "kucoin"
        "FTX" => "ftx"
        "Bitmex" => "bitmex"
        "Alpaca" => "alpaca"
        "Gemini" => "gemini"
        => i_broker_name

enable_trades = i_enable_trades ? "" : " d=1"
string delay_qty = use_delay ? " delay=" + str.tostring(i_delay_qty) : ""

i_alert_txt_entry_long = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + enable_trades + " b=short c=position t=market" + 
 "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=long q=" + str.tostring(quantity, "#") + " t=market" + enable_trades + delay_qty
 
i_alert_txt_entry_short = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + enable_trades + " b=long c=position t=market" + 
 "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=short q=" + str.tostring(quantity, "#") + " t=market" + enable_trades + delay_qty

var string temp_txt_SL_long = ""
var string temp_txt_SL_short = ""

var string temp_txt_TP_long = ""
var string temp_txt_TP_short = ""

if use_sl == "Percent"

    temp_txt_SL_long  := "sl=-" + str.tostring(sl_input_perc * 100) + "%"
    temp_txt_SL_short := "sl=" + str.tostring(sl_input_perc * 100) + "%"

else if use_sl == "Price"

    temp_txt_SL_long  := "fsl=" + str.tostring(final_SL_Long)
    temp_txt_SL_short := "fsl=" + str.tostring(final_SL_Short)

if use_tp == "Percent"

    temp_txt_TP_long := "p=" + str.tostring(tp_input_perc * 100) + "%" 
    temp_txt_TP_short := "p=-" + str.tostring(tp_input_perc * 100) + "%" 

else if use_tp == "Price"

    temp_txt_TP_long  := "fpx=" + str.tostring(final_TP_Long)
    temp_txt_TP_short := "fpx=" + str.tostring(final_TP_Short)  

i_alert_txt_exit_SL_long  = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=long c=position t=market " + temp_txt_SL_long + enable_trades 
i_alert_txt_exit_SL_short = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=short c=position t=market " + temp_txt_SL_short + enable_trades 
i_alert_txt_exit_TP_long  = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=long c=position t=market " + temp_txt_TP_long + enable_trades 
i_alert_txt_exit_TP_short = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=short c=position t=market " + temp_txt_TP_short + enable_trades 

string final_alert_txt_entry_long = i_alert_txt_entry_long
string final_alert_txt_entry_short = i_alert_txt_entry_short

if i_use_borrow_repay and i_broker_name == "Binance"

    final_alert_txt_entry_long := "a=" + i_account_name + " e=" + broker_mode + "y=borrow w=" + i_asset_borrow_repay + " q=" + str.tostring(i_qty_borrow_repay, "#") + enable_trades +
     "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + enable_trades + " b=short c=position t=market" + delay_qty +
     "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=long q=" + str.tostring(quantity, "#") + " t=market" + enable_trades + delay_qty +
     "\n a=" + i_account_name + " e=" + broker_mode + "y=repay w=" + i_asset_borrow_repay + " q=" + str.tostring(i_qty_borrow_repay, "#") + enable_trades

    final_alert_txt_entry_short := "a=" + i_account_name + " e=" + broker_mode + "y=borrow w=" + i_asset_borrow_repay + " q=" + str.tostring(i_qty_borrow_repay, "#") + enable_trades +
     "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + enable_trades + " b=long c=position t=market" + delay_qty +
     "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=short q=" + str.tostring(quantity, "#") + " t=market" + enable_trades + delay_qty +
     "\n a=" + i_account_name + " e=" + broker_mode + "y=repay w=" + i_asset_borrow_repay + " q=" + str.tostring(i_qty_borrow_repay, "#") + enable_trades

//i_alert_txt_entry_long  := final_alert_txt_entry_long
//i_alert_txt_entry_short := final_alert_txt_entry_short

if show_alerts_debug and barstate.islastconfirmedhistory

    var label lblTest = na

    label.delete(lblTest)

    string label_txt = i_alert_txt_entry_long

    if use_sl != "None"
        label_txt := label_txt + "\n" + i_alert_txt_exit_SL_long

    if use_tp != "None"
        label_txt := label_txt + "\n" + i_alert_txt_exit_TP_long

    t = time + (time - time[1]) * 25

    lblTest := label.new(
     x            = t,
     y            = ta.highest(50),
     text         = label_txt,
     xloc         = xloc.bar_time,
     yloc         = yloc.price,
     color        = color.new(color = color.gray, transp = 0),
     style        = label.style_label_left,
     textcolor    = color.new(color = color.white, transp = 0),
     size         =  size.large
     )

// # ========================================================================= #
// #                   |   Strategy Calls and Alerts |
// # ========================================================================= #

if bull and TradeDateIsAllowed() 

    strategy.entry(id = "Long", direction =  strategy.long, comment = "Long", alert_message = i_alert_txt_entry_long, qty = nb_contracts)
    alert(i_alert_txt_entry_long, alert.freq_once_per_bar)
    
else if bear and TradeDateIsAllowed()
    strategy.entry(id = "Short", direction =  strategy.short, comment = "Short", alert_message = i_alert_txt_entry_short, qty = nb_contracts)
    alert(i_alert_txt_entry_short, alert.freq_once_per_bar)

//quantity := quantity * 2

strategy.exit(id = "Exit Long",  from_entry = "Long",  stop = (use_sl != "None") ? final_SL_Long : na,  comment_loss = "Long Exit SL", alert_loss  = (use_sl != "None") ? i_alert_txt_exit_SL_long : na,   limit = (use_tp != "None") ? final_TP_Long  : na, comment_profit = "Long Exit TP", alert_profit = (use_tp != "None") ? i_alert_txt_exit_TP_long : na)   
strategy.exit(id = "Exit Short", from_entry = "Short", stop = (use_sl != "None") ? final_SL_Short : na, comment_loss = "Short Exit SL", alert_loss = (use_sl != "None") ? i_alert_txt_exit_SL_short : na, limit = (use_tp != "None") ? final_TP_Short : na, comment_profit = "Short Exit TP", alert_profit = (use_tp != "None") ? i_alert_txt_exit_TP_short : na)   

if strategy.position_size > 0 and low < final_SL_Long and use_sl != "None"
    alert(i_alert_txt_exit_SL_long, alert.freq_once_per_bar)

else if strategy.position_size < 0 and high > final_SL_Short and use_sl != "None"
    alert(i_alert_txt_exit_SL_short, alert.freq_once_per_bar)

if strategy.position_size > 0 and high > final_TP_Long and use_tp != "None"
    alert(i_alert_txt_exit_TP_long, alert.freq_once_per_bar)

else if strategy.position_size < 0 and low < final_TP_Short and use_tp != "None"
    alert(i_alert_txt_exit_TP_short, alert.freq_once_per_bar)

// # ========================================================================= #
// #                   |   Reset Variables |
// # ========================================================================= #

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