{"id":17,"date":"2024-05-18T10:32:00","date_gmt":"2024-05-18T10:32:00","guid":{"rendered":""},"modified":"2025-06-21T15:30:05","modified_gmt":"2025-06-21T15:30:05","slug":"whale-signal-with-start-stop-timestamp","status":"publish","type":"post","link":"https:\/\/kriptos.my\/index.php\/2024\/05\/18\/whale-signal-with-start-stop-timestamp\/","title":{"rendered":"Whale Signal with Start Stop Timestamp"},"content":{"rendered":"
<\/a><\/div>\n

This new pine script code is revision of previous Buy-on-Whale-signal<\/a> pine script. It has start-stop time setting. This function is there for 2 reasons<\/b>:<\/p>\n

1. If you are using ‘Percentage’<\/b> as ‘Order Size’<\/b> in the Properties<\/b> setting, u will need to set START DATE<\/b> on the day u start running the bot (SUPER IMPORTANT!). <\/b>Otherwise, u may be getting a lot of error on placing order.<\/p>\n

2. It is useful if  you need to test a strategy on shorter backtesting range on longer timeframe chart (ie. lets say u want to see how the bot performs during bearish period). This feature is not needed if you are subscriber to Tradingview Pro. <\/p>\n

<\/p>\n

Strategy Description: It places buy order when then whale detector bar reaches certain threshold level which you can adjust as well as the Take Profit and Stop Loss. And Set when to start and stop trading range.<\/p>\n

Recommended Settings:<\/u><\/b><\/p>\n

Pair: BTCUSDT (Binance)<\/p>\n

Time frame: 7min<\/p>\n

Initial Capital: 10<\/p>\n

Base Currency: Default<\/p>\n

Order Size: 10 USDT<\/p>\n

Pyramiding: 1 order<\/p>\n

Commission: 0.1 % <\/p>\n

*credit to BLACKCAT1404<\/a>   <\/p>\n

<\/p>\n

\n
\/\/<\/span>@version=<\/span>4<\/span><\/div>\n
strategy<\/span>(“WHALE Signal START-STOP [www.capayam.com, credit to Blackcat1404]”<\/span>,<\/span> overlay<\/span>=false,<\/span> commission_type<\/span>=<\/span>strategy.commission.percent<\/span> ,<\/span> commission_value<\/span>=<\/span>0.1<\/span>)<\/div>\n

<\/p>\n

\/\/ Tested on BTCUSDT (Binance) TF 7minute<\/span><\/div>\n

<\/p>\n

\/\/ Input parameters<\/span><\/div>\n
whale_threshold<\/span> =<\/span> input<\/span>(30<\/span>,<\/span> title<\/span>=<\/span>“Whale Threshold”<\/span>)<\/div>\n
profit_target_percent<\/span> =<\/span> input<\/span>(6<\/span>,<\/span> title<\/span>=<\/span>“Profit Target (%)”<\/span>)<\/div>\n
stop_loss_percent<\/span> =<\/span> input<\/span>(3<\/span>,<\/span> title<\/span>=<\/span>“Stop Loss (%)”<\/span>)<\/div>\n
scale<\/span> =<\/span> input<\/span>(1000<\/span>,<\/span> title<\/span>=<\/span>“Scale Factor”<\/span>)<\/div>\n
show_whale<\/span> =<\/span> input<\/span>(true,<\/span>title<\/span> =<\/span> “Show Whale detector”<\/span>)<\/div>\n

<\/p>\n

start_year<\/span> =<\/span> input<\/span>(2024<\/span>,<\/span> title<\/span>=<\/span>“Start Year”<\/span>,<\/span> minval<\/span>=<\/span>2000<\/span>,<\/span> maxval<\/span>=<\/span>2100<\/span>)<\/div>\n
start_month<\/span> =<\/span> input<\/span>(6<\/span>,<\/span> title<\/span>=<\/span>“Start Month”<\/span>,<\/span> minval<\/span>=<\/span>1<\/span>,<\/span> maxval<\/span>=<\/span>12<\/span>)<\/div>\n
start_day<\/span> =<\/span> input<\/span>(1<\/span>,<\/span> title<\/span>=<\/span>“Start Day”<\/span>,<\/span> minval<\/span>=<\/span>1<\/span>,<\/span> maxval<\/span>=<\/span>31<\/span>)<\/div>\n

<\/p>\n

stop_year<\/span> =<\/span> input<\/span>(2024<\/span>,<\/span> title<\/span>=<\/span>“Stop Year”<\/span>,<\/span> minval<\/span>=<\/span>2000<\/span>,<\/span> maxval<\/span>=<\/span>2100<\/span>)<\/div>\n
stop_month<\/span> =<\/span> input<\/span>(12<\/span>,<\/span> title<\/span>=<\/span>“Stop Month”<\/span>,<\/span> minval<\/span>=<\/span>1<\/span>,<\/span> maxval<\/span>=<\/span>12<\/span>)<\/div>\n
stop_day<\/span> =<\/span> input<\/span>(31<\/span>,<\/span> title<\/span>=<\/span>“Stop Day”<\/span>,<\/span> minval<\/span>=<\/span>1<\/span>,<\/span> maxval<\/span>=<\/span>31<\/span>)<\/div>\n

<\/p>\n

\/\/ Create timestamps from the input dates<\/span><\/div>\n
start_trading_date<\/span> =<\/span> timestamp<\/span>(start_year<\/span>,<\/span> start_month<\/span>,<\/span> start_day<\/span>,<\/span> 0<\/span>,<\/span> 0<\/span>)<\/div>\n
stop_trading_date<\/span> =<\/span> timestamp<\/span>(stop_year<\/span>,<\/span> stop_month<\/span>,<\/span> stop_day<\/span>,<\/span> 23<\/span>,<\/span> 59<\/span>)<\/div>\n
\/\/\/WHALE BY BLACKCAT1404<\/span><\/div>\n

<\/p>\n

\/\/functions<\/span><\/div>\n
xrf<\/span>(values<\/span>,<\/span> length<\/span>) =><\/span><\/div>\n
    r_val<\/span> =<\/span> float<\/span>(na<\/span>)<\/div>\n
    if<\/span> length<\/span> >=<\/span> 1<\/span><\/div>\n
        for<\/span> i<\/span> =<\/span> 0<\/span> to<\/span> length<\/span> by<\/span> 1<\/span><\/div>\n
            if<\/span> na<\/span>(r_val<\/span>) or<\/span> not<\/span> na<\/span>(values<\/span>[i<\/span>])<\/div>\n
                r_val<\/span>  :=<\/span>  values<\/span>[i<\/span>]<\/div>\n
                r_val<\/span><\/div>\n
    r_val<\/span><\/div>\n

<\/p>\n

xsa<\/span>(src<\/span>,<\/span>len<\/span>,<\/span>wei<\/span>) =><\/span><\/div>\n
    sumf<\/span> =<\/span> 0.0<\/span><\/div>\n
    ma<\/span> =<\/span> 0.0<\/span><\/div>\n
    out<\/span> =<\/span> 0.0<\/span><\/div>\n
    sumf<\/span>  :=<\/span>  nz<\/span>(sumf<\/span>[1<\/span>]) –<\/span> nz<\/span>(src<\/span>[len<\/span>]) +<\/span> src<\/span><\/div>\n
    ma<\/span>  :=<\/span>  na<\/span>(src<\/span>[len<\/span>]) ?<\/span> na<\/span> :<\/span> sumf<\/span>\/<\/span>len<\/span><\/div>\n
    out<\/span>  :=<\/span>  na<\/span>(out<\/span>[1<\/span>]) ?<\/span> ma<\/span> :<\/span> (src<\/span>*<\/span>wei<\/span>+<\/span>out<\/span>[1<\/span>]*<\/span>(len<\/span>–<\/span>wei<\/span>))\/<\/span>len<\/span><\/div>\n
    out<\/span><\/div>\n

<\/p>\n

\/\/trend follower algorithm<\/span><\/div>\n
var2<\/span> =<\/span> xrf<\/span>(low<\/span>,<\/span>1<\/span>)<\/div>\n
var3<\/span> =<\/span> xsa<\/span>(abs<\/span>(low<\/span>–<\/span>var2<\/span>),<\/span>3<\/span>,<\/span>1<\/span>)\/<\/span>xsa<\/span>(max<\/span>(low<\/span>–<\/span>var2<\/span>,<\/span>0<\/span>),<\/span>3<\/span>,<\/span>1<\/span>)*<\/span>100<\/span><\/div>\n
var4<\/span> =<\/span> ema<\/span>(iff<\/span>(close<\/span>*<\/span>1.2<\/span>,<\/span>var3<\/span>*<\/span>10<\/span>,<\/span>var3<\/span>\/<\/span>10<\/span>),<\/span>3<\/span>)<\/div>\n
var5<\/span> =<\/span> lowest<\/span>(low<\/span>,<\/span>30<\/span>)<\/div>\n
var6<\/span> =<\/span> highest<\/span>(var4<\/span>,<\/span>30<\/span>)<\/div>\n
var7<\/span> =<\/span> iff<\/span>(lowest<\/span>(low<\/span>,<\/span>58<\/span>),<\/span>1<\/span>,<\/span>0<\/span>)<\/div>\n
var8<\/span> =<\/span> ema<\/span>(iff<\/span>(low<\/span><=<\/span>var5<\/span>,<\/span>(var4<\/span>+<\/span>var6<\/span>*<\/span>2<\/span>)\/<\/span>2<\/span>,<\/span>0<\/span>),<\/span>3<\/span>)\/<\/span>618<\/span>*<\/span>var7<\/span><\/div>\n

<\/p>\n

\/\/plotcandle(0,var8 * (close\/scale) ,0,var8* (close\/scale),color= var8 > 0 and show_whale ?color.yellow:na)<\/span><\/div>\n

<\/p>\n

plot<\/span>(show_whale<\/span>?<\/span> var8<\/span> *<\/span> (close<\/span>\/<\/span>scale<\/span>) :<\/span> na<\/span>,<\/span> title<\/span> =<\/span> “whale”<\/span> ,<\/span> style<\/span> =<\/span> plot.style_columns<\/span>,<\/span>color<\/span>=<\/span>color.yellow<\/span>,<\/span> transp<\/span>=<\/span>80<\/span>)<\/div>\n
    \/\/ Define whale pump condition<\/span><\/div>\n
whale_pump_condition<\/span> =<\/span> var8<\/span> *<\/span> (close<\/span>\/<\/span>scale<\/span>) ><\/span> whale_threshold<\/span> and<\/span> (time<\/span> >=<\/span> start_trading_date<\/span>) and<\/span> (time<\/span> <=<\/span> stop_trading_date<\/span>)<\/div>\n

<\/p>\n

\/\/ Strategy logic<\/span><\/div>\n
if<\/span> (whale_pump_condition<\/span>)<\/div>\n
    strategy.entry<\/span>(“Buy”<\/span>,<\/span> strategy.long<\/span>)<\/div>\n
    <\/div>\n
\/\/ Calculate profit target and stop loss levels<\/span><\/div>\n
entry_price<\/span> =<\/span> strategy.position_avg_price<\/span><\/div>\n
profit_target<\/span> =<\/span> entry_price<\/span> *<\/span> (1<\/span> +<\/span> profit_target_percent<\/span> \/<\/span> 100<\/span>)<\/div>\n
stop_loss<\/span> =<\/span> entry_price<\/span> *<\/span> (1<\/span> –<\/span> stop_loss_percent<\/span> \/<\/span> 100<\/span>)<\/div>\n

<\/p>\n

\/\/ Exit conditions<\/span><\/div>\n
strategy.exit<\/span>(“TP\/SL”<\/span>,<\/span> limit<\/span>=<\/span>profit_target<\/span>,<\/span> stop<\/span>=<\/span>stop_loss<\/span>)<\/div>\n<\/div>\n

*please feel free to drop your strategy setting in the comment section.<\/p>\n

*this whale strategy is too good that i have not been able to curate other better strategy in the past 1 month.<\/p>\n","protected":false},"excerpt":{"rendered":"

This new pine script code is revision of previous Buy-on-Whale-signal pine script. It has start-stop time setting. This function is there for 2 reasons: 1. If you are using ‘Percentage’<\/p>\n

Continue ReadingWhale Signal with Start Stop Timestamp<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[3],"class_list":["post-17","post","type-post","status-publish","format-standard","hentry","category-pine-script-strategy","tag-pine-script-strategy"],"yoast_head":"\nWhale Signal with Start Stop Timestamp - kriptos.my<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kriptos.my\/index.php\/2024\/05\/18\/whale-signal-with-start-stop-timestamp\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Whale Signal with Start Stop Timestamp - kriptos.my\" \/>\n<meta property=\"og:description\" content=\"This new pine script code is revision of previous Buy-on-Whale-signal pine script. 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It has start-stop time setting. This function is there for 2 reasons: 1. 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