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New Pine Script Stratgey: Buy on Whale Signal

This strategy is adapted from an indicator Whale detector, which is thanks to BLACKCAT1404, the curator of the indicator. 

Startegy 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.

Recommended Settings:

Pair: BTCUSDT (Binance)

Time frame: 7min

Initial Capital: 100

Base Currency: Default

Order Size: 95% equity

Pyramiding: 1 order

Commission: 0.1 %

Each pair of token has different threshold, suitable time frame, TP and SL. Aa a matter of fact, Even different CEX may produce result for the same coin. You have to test one by one to get the best result. Do share your best strategy setting in the comment. 

*credit to BLACKCAT1404   

strategy("WHALE pump signal [, credit to Blackcat1404]", overlay=false, initial_capital = 100, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent , commission_value=0.1)

// Desc: Best setting ETH TF7min Thres 30 TP6 SL3 Scale1000

// 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")

/////////////////WHALE BY BLACKCAT1404

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]

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

//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

// 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("Take Profit/Stop Loss", "Buy", limit=profit_target, stop=stop_loss)

*updated 22/4/2024

*Do share strategy in the comments section


  1. // Tested: TF7min
    //BTC Binance Thres 30 TP6 SL3 Scale 1000
    //ETH Binance - Not suitable
    //SEI Binance Thres 133 TP11 SL5 Scale 1
    //MATIC Bincane Thres 141 TP11 SL5 Scale 1
    //FET Binance Thres 30 TP13 SL3 Scale 10
    //RNDR Binance Thres 40 TP9 SL3 Scale 10

    //Tested : 3min
    //BTC Binance Thres 30 TP6 SL3 Scale 1000 (lower lost but lower profit)

  2. //AGIX ByBit Thres 12 TP9 SL3 Scale 1
    //RSS3 ByBit Thres 30 TP9 SL3 Scale 1
    //WLD ByBit - not suitable

  3. //KLAY Binance Thres 8 TP 9 SL 4 Scale 1
    //MOVR Binance Thres 290 TP 11 SL 3 Scale 10
    //OCEAN Binance Thres 90 TP 9 SL 3 Scale 1
    //WLD Binance Thres 145 TP 7 SL 3 Scale 1


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