1. বর্গক্ষেত্র
2. গতকালের উচ্চ ব্রেকআউট প্রবণতা কৌশল অনুসরণ

গতকালের উচ্চ ব্রেকআউট প্রবণতা কৌশল অনুসরণ

লেখক:চাওঝাং, তারিখ: ২০২৩-১০-০৮ ১৪ঃ০৬ঃ৫৫
ট্যাগঃ

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/*backtest
start: 2023-09-30 00:00:00
end: 2023-10-07 00:00:00
period: 15m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
// © TheSocialCryptoClub

//@version=5

strategy("Yesterday's High", overlay=true, pyramiding = 1,
         initial_capital=10000, 
         default_qty_type=strategy.percent_of_equity, default_qty_value=10,
         slippage=1, backtest_fill_limits_assumption=1, use_bar_magnifier=true,
         commission_type=strategy.commission.percent, commission_value=0.075
         )

// -----------------------------------------------------------------------------
// ROC Filter
// -----------------------------------------------------------------------------

// f_security function by LucF for PineCoders available here: https://www.tradingview.com/script/cyPWY96u-How-to-avoid-repainting-when-using-security-PineCoders-FAQ/
f_security(_sym, _res, _src, _rep) => request.security(_sym, _res, _src[not _rep and barstate.isrealtime ? 1 : 0])[_rep or barstate.isrealtime ? 0 : 1]
high_daily = f_security(syminfo.tickerid, "D", high, false)

roc_enable = input.bool(false, "", group="ROC Filter from CloseD", inline="roc")
roc_threshold = input.float(1, "Treshold", step=0.5, group="ROC Filter from CloseD", inline="roc")

closed = f_security(syminfo.tickerid,"1D",close, false)
roc_filter= roc_enable ? (close-closed)/closed*100  > roc_threshold  : true


// -----------------------------------------------------------------------------
// Trigger Point 
// -----------------------------------------------------------------------------

open_session = ta.change(time('D'))
price_session = ta.valuewhen(open_session, open, 0)
tf_session = timeframe.multiplier <= 60

bgcolor(open_session and tf_session ?color.new(color.blue,80):na, title = "Session")

first_bar = 0
if open_session
    first_bar := bar_index

var max_today = 0.0
var min_today = 0.0
var high_daily1 = 0.0
var low_daily1 = 0.0
var today_open = 0.0

if first_bar
    high_daily1 := max_today
    low_daily1 := min_today
    today_open := open
    max_today := high
    min_today := low


if high >= max_today
    max_today := high

if low < min_today
    min_today := low


same_day  = today_open == today_open[1]

plot( timeframe.multiplier <= 240 and same_day ? high_daily1 : na, color= color.yellow , style=plot.style_linebr, linewidth=1, title='High line')
plot( timeframe.multiplier <= 240 and same_day ? low_daily1 : na, color= #E8000D , style=plot.style_linebr, linewidth=1, title='Low line')

// -----------------------------------------------------------------------------
// Strategy settings 
// -----------------------------------------------------------------------------

Gap = input.float(1,"Gap%", step=0.5, tooltip="Gap di entrata su entry_price -n anticipa entrata, con +n posticipa entrata", group = "Entry")
Gap2 = (high_daily1 * Gap)/100

sl  = input.float(3, "Stop-loss", step= 0.5,  group = "Entry")
tp  = input.float(9, "Take-profit", step= 0.5, group = "Entry")
stop_loss_price = strategy.position_avg_price * (1-sl/100)
take_price = strategy.position_avg_price * (1+tp/100)

sl_trl = input.float(2, "Trailing-stop", step = 0.5, tooltip = "Attiva trailing stop dopo che ha raggiunto...",group = "Trailing Stop Settings")//group = "Trailing Stop Settings")
Atrl= input.float(1, "Offset Trailing", step=0.5,tooltip = "Distanza dal prezzo", group = "Trailing Stop Settings")
stop_trl_price_cond = sl_trl * high/syminfo.mintick/100
stop_trl_price_offset_cond = Atrl * high/syminfo.mintick/100

stop_tick = sl * high/syminfo.mintick/100
profit_tick = tp * high/syminfo.mintick/100

mess_buy = "buy"
mess_sell = "sell"

// -----------------------------------------------------------------------------
// Entry - Exit - Close
// -----------------------------------------------------------------------------

if close < high_daily1 and roc_filter
    strategy.entry("Entry", strategy.long, stop = high_daily1 + (Gap2), alert_message = mess_buy)

ts_n  = input.bool(true, "Trailing-stop", tooltip = "Attiva o disattiva trailing-stop", group = "Trailing Stop Settings")
close_ema = input.bool(false, "Close EMA", tooltip = "Attiva o disattiva chiusura su EMA", group = "Trailing Stop Settings")
len1 = input.int(10, "EMA length", step=1, group = "Trailing Stop Settings")
ma1 = ta.ema(close, len1)

plot(ma1, title='EMA', color=color.new(color.yellow, 0))

if ts_n == true
    strategy.exit("Trailing-Stop","Entry",loss= stop_tick, stop= stop_loss_price, limit= take_price, trail_points = stop_trl_price_cond, trail_offset = stop_trl_price_offset_cond, comment_loss="Stop-Loss!!",comment_profit ="CASH!!", comment_trailing = "TRL-Stop!!", alert_message = mess_sell)
else
    strategy.exit("TP-SL", "Entry",loss= stop_tick, stop=stop_loss_price, limit= take_price, comment_loss= "Stop-loss!!!", comment_profit = "CASH!!", alert_message = mess_sell)

if close_ema == true and ta.crossunder(close,ma1)
    strategy.close("Entry",comment = "Close" , alert_message = mess_sell)

---

• মাসিক বিপরীতমুখী ডিসিএ কৌশল
• ডাবল টপস স্মার্ট ব্রেকআউট কৌশল
• ২/২০ এক্সপোনেনশিয়াল মুভিং এভারেজ কৌশল তৈরি করা
• টুইন অপ্টিমাইজড ট্রেন্ড ট্র্যাকার কৌশল
• অভিযোজিত ট্রেলিং স্টপ কৌশল
• সুপারট্রেন্ড দ্বৈত দিকনির্দেশক কৌশল
• কৌশল অনুসরণ করে ডাবল চলমান গড় প্রবণতা
• প্যারাবলিক এসএআর আরএসআই বিপরীতমুখী কৌশল
• RSI বিপরীতমুখী ব্রেকআউট কৌশল
• ডাবল সিসিআই ফিল্টারড ইমপুটাম এক্সপ্লোশন ট্রেডিং কৌশল
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• ডাবল মুভিং এভারেজ ব্রেকআউট কৌশল
• ধারাবাহিক মোমবাতি বিপরীত কৌশল
• RSI-VWAP মূল্য-ভলিউম কৌশল
• ইচিমোকু ক্লাউড ট্রেডিং কৌশল
• কৌশল অনুসরণ করে ট্রিক্স সিম্পল ট্রেন্ড
• এসএমএ আরএসআই ডাবল ফিল্টার স্বল্পমেয়াদী ট্রেডিং কৌশল
• এসএমএ এবং আরএসআই সংমিশ্রণ ট্রেডিং কৌশল
• ট্রেন্ড আরএসআই কৌশল অনুসরণ করুন
• ইম্পটেম রিভার্সাল ট্রেডিং কৌশল