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Whale Signal with Start Stop Timestamp

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' as 'Order Size' in the Properties setting, u will need to set START DATE on the day u start running the bot (SUPER IMPORTANT!). Otherwise, u may be getting a lot of error on placing order.

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. 


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.

Recommended Settings:

Pair: BTCUSDT (Binance)

Time frame: 7min

Initial Capital: 10

Base Currency: Default

Order Size: 10 USDT

Pyramiding: 1 order

Commission: 0.1 % 

*credit to BLACKCAT1404   


//@version=4
strategy("WHALE Signal START-STOP [www.capayam.com, credit to Blackcat1404]", overlay=false, commission_type=strategy.commission.percent , commission_value=0.1)

// Tested on BTCUSDT (Binance) TF 7minute

// Input parameters
whale_threshold = input(30, title="Whale Threshold")
profit_target_percent = input(6, title="Profit Target (%)")
stop_loss_percent = input(3, title="Stop Loss (%)")
scale = input(1000, title="Scale Factor")
show_whale = input(true,title = "Show Whale detector")

start_year = input(2024, title="Start Year", minval=2000, maxval=2100)
start_month = input(6, title="Start Month", minval=1, maxval=12)
start_day = input(1, title="Start Day", minval=1, maxval=31)

stop_year = input(2024, title="Stop Year", minval=2000, maxval=2100)
stop_month = input(12, title="Stop Month", minval=1, maxval=12)
stop_day = input(31, title="Stop Day", minval=1, maxval=31)

// Create timestamps from the input dates
start_trading_date = timestamp(start_year, start_month, start_day, 0, 0)
stop_trading_date = timestamp(stop_year, stop_month, stop_day, 23, 59)


///WHALE BY BLACKCAT1404

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

xsa(src,len,wei) =>
    sumf = 0.0
    ma = 0.0
    out = 0.0
    sumf  :=  nz(sumf[1]) - nz(src[len]) + src
    ma  :=  na(src[len]) ? na : sumf/len
    out  :=  na(out[1]) ? ma : (src*wei+out[1]*(len-wei))/len
    out

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

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

plot(show_whale? var8 * (close/scale) : na, title = "whale" , style = plot.style_columns,color=color.yellow, transp=80)


    // Define whale pump condition
whale_pump_condition = var8 * (close/scale) > whale_threshold and (time >= start_trading_date) and (time <= stop_trading_date)

// Strategy logic
if (whale_pump_condition)
    strategy.entry("Buy", strategy.long)
   
// Calculate profit target and stop loss levels
entry_price = strategy.position_avg_price
profit_target = entry_price * (1 + profit_target_percent / 100)
stop_loss = entry_price * (1 - stop_loss_percent / 100)

// Exit conditions
strategy.exit("TP/SL", limit=profit_target, stop=stop_loss)

*please feel free to drop your strategy setting in the comment section.

*this whale strategy is too good that i have not been able to curate other better strategy in the past 1 month.

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