Guppy Strategy Screener Using Python and Zerodha

Mastering AlgoTrading: A Beginner’s Guide using KiteConnect API Guppy Strategy Screener Using Python and Zerodha

This is a programming lesson. So there will be very less amount of explanation and more code. If you’re stuck somewhere, feel free to comment.

Stock Screener

What is a Stock Screener?

A stock screener is a tool to shortlist few companies from a pool of all the listed companies on a stock exchange using filters on the basis of indicator result (RSI,GUPPY,SMA,).shows the result of buy and sell stocks, which one is better option for buy or sell .

The investors specify the filters and the stock screener gives the results accordingly. Stock screeners are very useful as it can save you a lot of time.
You do not need to go through all the listed companies to shortlist few good ones. You can just apply the basic filter to get the list of few good ones that you want to investigate further. Overall, the stock screener will help you to find good performing stocks according to your specifications with a single click.

Note – The structure of historical data and live data from Zerodha is identical. During the development and testing of functions, it’s not feasible to wait for days or months to validate their performance using live data.

To address this, we’ll initially test and validate our functions using historical data. Once we have confirmed that the functions generate accurate signals and execute trades correctly with historical data, we can seamlessly transition to using live data for real-time trading.

Understanding the Guppy Strategy

Concept

EMAs Used: The strategy employs two groups of EMAs:

Short-term EMAs (Fast EMAs): These are calculated over shorter time frames (e.g., 3, 5, 7 days). They are more sensitive to recent price movements and can indicate short-term trends.
Long-term EMAs (Slow EMAs): Calculated over longer periods (e.g., 30, 35, 40 days), they reflect the underlying trend over a longer time horizon.

Buy Signal Conditions

The fast EMAs are aligned in ascending order (each EMA is higher than the previous one), suggesting a short-term upward trend.
The slow EMAs are also aligned in ascending order, indicating a longer-term upward trend.
The fast EMAs are above the slow EMAs, reinforcing the strength of the upward trend.
Additional conditions such as the price closing higher than the opening (bullish candle) might be used for confirmation.

Sell Signal Conditions

The fast EMAs are aligned in descending order, suggesting a short-term downward trend.
The slow EMAs are also aligned in descending order, indicating a longer-term downward trend.
The fast EMAs are below the slow EMAs, reinforcing the strength of the downward trend.
Additional conditions like the price closing lower than the opening (bearish candle) can be used for confirmation.

Python Code

The script runs a screener for different time frames (5 minutes, 15 minutes, 30 minutes) for a list of stock tokens. It computes EMAs for each stock at every interval and then applies the super_guppy function to determine the current trend’s color (green for buy, red for sell, aqua, and blue for other conditions).

Super Guppy Function: This function calculates the EMAs for each stock and determines the color of the trend based on the alignment and positioning of the fast and slow EMAs.
Arrow Plotting: The script includes logic for plotting arrows (buy or sell signals) based on the conditions mentioned above. It uses the barssince function to determine the bars since the last buy or sell arrow.

from datetime import date, timedelta
import pandas as pd
from pytz import timezone

print("  \t \t \t \t \t \n WELCOME TO SCREENER ")
print("\n" )
scan=str(input("DO you want Scanning ? YES/NO :-"))
if "YES"==scan or "yes"==scan:
    print("SCANNING START")
    #z=list(pd.read_csv("list.csv")["Symbol"])
    z=list(set(instrumentList[instrumentList['segment'] == 'NFO-FUT']["name"].to_list()))
    eexchange="NSE"
    time_frame     ="5minute" ###
    # Set the start and end dates for data retrieval
    sdate = (date.today() - timedelta(days=15)).strftime("%Y-%m-%d")
    todate = date.today().strftime("%Y-%m-%d")
    tokenall=[]
    aa=0
    print("  \t \t \t \n Getting All tokens for processing BUY SELL ")
    while(True):
        ttoken=int(pd.DataFrame(kite.ltp(eexchange+":"+z[aa])).iloc[-2,0])
        tokenall.append(ttoken)
        aa=aa+1
        if aa==50:
            print("  \t \t \t \n Complete ! All tokens are fetched from file ")
            print("\n" )
            print(tokenall)
            break
    print(" Now checking Condition of BUY sell of GUPPY ")
    #Variables
    eduu=[]
    eduu2=[]
    eduu3=[]
    buy5minute=[]
    sell5minute=[]
    buy10minute=[]
    sell10minute=[]
    buy15minute=[]
    sell15minute=[]
    ##
    lst_candle=[]
    lst_heikin_nor=[]
    lst_heikin=[]
    lst_cand=[]
    lst_c=[]
    anchor=0
    countstart=0
    #programe start
    a=0
    BUY_listindicator=[]
    SELL_listindicator=[]
    sell5minutesym=[]
    buy5minutesym=[]
    buy10minutesym=[]
    sell10minutesym=[]
    buy15minutesym=[]
    sell15minutesym=[]
    #
    #price
    price5min_buy=[]
    price5min_sell=[]
    price15min_buy=[]
    price15min_sell=[]
    price30min_buy=[]
    price30min_sell=[]
    priceedit=[]
    print(a)
    def ashi():
        global a
        global BUY_listindicator
        global SELL_listindicator
        while(True):
                print("\n" )
                print("Current Token Number which is processing is",a)
            #km=datetime.now().minute
            #ks=datetime.now().second
            #if km%1==0 and ks==1:
                now_utc = datetime.now(timezone('UTC'))
                now_asia = now_utc.astimezone(timezone('Asia/Kolkata'))
                #now_asia = now_asia.strftime("%S ")
                now_asia = now_asia.strftime("%Y-%m-%d _ %H:%M:%S ")
                edu=now_asia
                eduu.append(edu)
                dff=kite.historical_data(tokenall[a],sdate,todate,time_frame,0)
                dfw=pd.DataFrame(dff)[:-1]
                df=pd.DataFrame(dfw[['date','open','high','low','close']])
                slow_ema = [3,5,7,9,11,13,15,17,19,21,23]
                fast_ema = [25,28,31,34,37,40,43,46,49,52,55,58,61,64,67,70,200]
                def EMA(df, base, target, period, alpha=False):
                    con = pd.concat([df[:period][base].rolling(window=period).mean(), df[period:][base]])
                    if (alpha == True):
                        # (1 - alpha) * previous_val + alpha * current_val where alpha = 1 / period
                        df[target] = con.ewm(alpha=1 / period, adjust=False).mean()
                    else:
                        # ((current_val - previous_val) * coeff) + previous_val where coeff = 2 / (period + 1)
                        df[target] = con.ewm(span=period, adjust=False).mean()
                    df.fillna(0,inplace = True)
                #     return df
                for j in slow_ema:
                    val = "ema"+"_"+str(j)
                    EMA(df,"close",val,j)
                for k in fast_ema:
                    val = "ema"+"_"+str(k)
                    EMA(df,"close",val,k)
                def super_guppy(interval,df,anchor=0):
                    anchor = 0
                    ShowBreak = True
                    ShowSwing = True
                    ShowCon = False
                    uOCCswing = False
                    Lookback = 6
                    emaFilter = False
                    mult = 0
                    buybreak = 0
                    sellbreak = 0
                    buy_barssince_var = 0
                    sell_barssince_var = 0
                    buybreak_barssince_var = 0
                    sellbreak_barssince_var = 0
                    barssince_lst = list()
                    barssince_var = 0
                    bar_count_var = 0
                    buy1 = list()
                    sell1 = list()
                    buy2 = list()
                    sell2 = list()
                    buybreak1 = list()
                    sellbreak1 = list()
                    def barssince(b,barssince_var):
                        barssince_lst = []
                        barssince_var = 0
                        new_var = len(b)
                        for i in b[::-1]:
                            if i == 1:
                                break
                            barssince_lst.append(i)
                        barssince_var = len(barssince_lst)
                        return barssince_var
                        barssince_lst.clear()
                    #isIntraday
                    if interval < 1441 :
                        if (anchor==0 or interval <= 0 or interval >= anchor or anchor > 1441 ):
                            mult = 1
                        else:
                            if round(anchor/interval) > 1:
                                mult = round(anchor/interval)
                            else:
                                mult = 1
                    else:
                        mult = 1
                    #isIntraday Not
                    if interval > 1441:
                        if (anchor==0 or interval <= 0 or interval >= anchor or anchor < 52 ):
                            mult = mult
                        else:
                            if round(anchor/interval) > 1:
                                mult = round(anchor/interval)
                            else:
                                mult = 1
                    else:
                        mult = mult
                    mult = 1
                    for i in range(len(df)):
                        emaF1 = df.loc[i,'ema_3']
                        emaF2 = df.loc[i,'ema_5']
                        emaF3 = df.loc[i,'ema_7']
                        emaF4 = df.loc[i,'ema_9']
                        emaF5 = df.loc[i,'ema_11']
                        emaF6 = df.loc[i,'ema_13']
                        emaF7 = df.loc[i,'ema_15']
                        emaF8 = df.loc[i,'ema_17']
                        emaF9 = df.loc[i,'ema_19']
                        emaF10 = df.loc[i,'ema_21']
                        emaF11 = df.loc[i,'ema_23']
                        emaS1 = df.loc[i,'ema_25']
                        emaS2 = df.loc[i,'ema_28']
                        emaS3 = df.loc[i,'ema_31']
                        emaS4 = df.loc[i,'ema_34']
                        emaS5 = df.loc[i,'ema_37']
                        emaS6 = df.loc[i,'ema_40']
                        emaS7 = df.loc[i,'ema_43']
                        emaS8 = df.loc[i,'ema_46']
                        emaS9 = df.loc[i,'ema_49']
                        emaS10 = df.loc[i,'ema_52']
                        emaS11 = df.loc[i,'ema_55']
                        emaS12 = df.loc[i,'ema_58']
                        emaS13 = df.loc[i,'ema_61']
                        emaS14 = df.loc[i,'ema_64']
                        emaS15 = df.loc[i,'ema_67']
                        emaS16 = df.loc[i,'ema_70']
                        ema200 = df.loc[i,'ema_200']
                        emafast = (emaF1 + emaF2 + emaF3 + emaF4 + emaF5 + emaF6 + emaF7 + emaF8 + emaF9 + emaF10 + emaF11)/11
                        emaslow = (emaS1 + emaS2 + emaS3 + emaS4 + emaS5 + emaS6 + emaS7 + emaS8 + emaS9 + emaS10 + emaS11 + emaS12 + emaS13 + emaS14 + emaS15 + emaS16)/16
                        #Fast EMA Color Rules
                        colfastL = (emaF1>emaF2 and emaF2>emaF3 and emaF3>emaF4 and emaF4>emaF5 and emaF5>emaF6 and emaF6>emaF7 and emaF7>emaF8 and emaF8>emaF9 and emaF9>emaF10 and emaF10>emaF11)
                        colfastS = (emaF1<emaF2 and emaF2<emaF3 and emaF3<emaF4 and emaF4<emaF5 and emaF5<emaF6 and emaF6<emaF7 and emaF7<emaF8 and emaF8<emaF9 and emaF9<emaF10 and emaF10<emaF11)
                        #Slow EMA Color Rules
                        colslowL = (emaS1>emaS2 and emaS2>emaS3 and emaS3>emaS4 and emaS4>emaS5 and emaS5>emaS6 and emaS6>emaS7 and emaS7>emaS8) and (emaS8>emaS9 and emaS9>emaS10 and emaS10>emaS11 and emaS11>emaS12 and emaS12>emaS13 and emaS13>emaS14 and emaS14>emaS15 and emaS15>emaS16)
                        colslowS = (emaS1<emaS2 and emaS2<emaS3 and emaS3<emaS4 and emaS4<emaS5 and emaS5<emaS6 and emaS6<emaS7 and emaS7<emaS8) and (emaS8<emaS9 and emaS9<emaS10 and emaS10<emaS11 and emaS11<emaS12 and emaS12<emaS13 and emaS13<emaS14 and emaS14<emaS15 and emaS15<emaS16)
                        if  emafast > emaslow and not colslowS and colfastL and (not ShowCon or colslowL) and (not emaFilter or emafast>ema200):
                            if int(buy1[-1]) > 0:
                                buy = buy1[-1] + 1
                            else:
                                buy = 1
                        else:
                            buy = 0
                        buy1.append(buy)
                        if  emafast < emaslow and not colslowL and colfastS and (not ShowCon or colslowS) and (not emaFilter or emafast<ema200):
                            if int(sell1[-1]) > 0:
                                sell = sell1[-1] + 1
                            else:
                                sell = 1
                        else:
                            sell = 0
                        sell1.append(sell)
                        #buy
                        if buy>1 and colfastL and (uOCCswing and ((df.loc[i-1,'close']<df.loc[i-1,'open']) and (df.loc[i,'close']>df.loc[i,'open']))):
                            buy3 = 1
                        else:
                            buy3 = buy
                        buy2.append(buy3)
                        #sell
                        if sell>1 and colfastS and (uOCCswing and ((df.loc[i-1,'close']<df.loc[i-1,'open']) and (df.loc[i,'close']>df.loc[i,'open']))):
                            sell3 = 1
                        else:
                            sell3 = sell
                        sell2.append(sell3)
                        #buybreak
                        if emafast > emaslow and not colslowS and (not emaFilter or emafast>ema200):
                            if buybreak1[-1] > 0:
                                buybreak = buybreak1[-1] + 1
                            else:
                                buybreak = 1
                        else:
                            buybreak = 0
                        buybreak1.append(buybreak)
                        if emafast < emaslow and not colslowL and (not emaFilter or emafast<ema200):
                            if sellbreak1[-1] > 0:
                                sellbreak = sellbreak1[-1]+1
                            else:
                                sellbreak = 1
                        else:
                            sellbreak = 0
                        sellbreak1.append(sellbreak)
                        #arrow plotting
                        #buy_arrow
                        buy_barssince_var = barssince(buy2[:-1],barssince_var)
                        if (ShowSwing and buy3==1)and buy_barssince_var > 6:
                            buy_arrow = 1
                        else:
                            buy_arrow = 0
                        #sell arrow
                        sell_barssince_var = barssince(sell2[:-1],barssince_var)
                        if ShowSwing and (sell3==1 and sell_barssince_var > 6):
                            sell_arrow = 1
                        else:
                            sell_arrow = 0
                        #buybreak_arrow
                        buybreak_barssince_var = barssince(buybreak1[:-1],barssince_var)
                        sellbreak_barssince_var = barssince(sellbreak1[:-1],barssince_var)

                        if ShowBreak and buybreak==1 and (sellbreak_barssince_var>Lookback) and (buybreak_barssince_var>Lookback):
                            buybreak_arrow = 1
                        else:
                            buybreak_arrow = 0
                        #sellbreak_arrow
                        if ShowBreak and sellbreak==1 and (buybreak_barssince_var>Lookback) and (sellbreak_barssince_var>Lookback):
                            sellbreak_arrow = 1
                        else:
                            sellbreak_arrow = 0
                        if buy_arrow==1 and sell_arrow==0 and buybreak_arrow==0 and sellbreak_arrow==0:
                            arrow_color = 'green'
                        elif buy_arrow==0 and sell_arrow==1 and buybreak_arrow==0 and sellbreak_arrow==0:
                            arrow_color = 'red'
                        elif sell_arrow==0 and (buy_arrow==0 or buy_arrow==1) and buybreak_arrow==1 and sellbreak_arrow==0:
                            arrow_color = 'aqua'
                        elif buy_arrow==0 and (sell_arrow==1 or sell_arrow==0) and buybreak_arrow==0 and sellbreak_arrow==1:
                            arrow_color = 'blue'
                        else:
                            arrow_color = 'none'
                        df.loc[i,'arrow_color'] = arrow_color
                    df = df[['date','open','high','low','close','arrow_color']]
                    return df
                df=super_guppy(15,df)
                gup=df
                print(" \n ")
                print(" \t \t \t \t Zerodha GUPPY SCREENER on 5 minute Data ")
                print(" \t \t \t \t 5 minute Program Start time is  ", eduu[0])
                print("\t \t \t \n Current Token checking  " , tokenall[a])
                print("\n" )
                print(" \t \t \t \n Current Colour on this token is " , gup.iloc[-1,5])
                if "green" in gup.iloc[-1,5]:
                    print(" BUY stock found ")
                    buy5minute.append((tokenall[a]))
                    buy5minutesym.append((z[a]))
                    price5min_buy.append(gup.iloc[-1,2])
                if "red" in gup.iloc[-1,5]:
                    print(" SELL stock found ")
                    sell5minute.append((tokenall[a]))
                    sell5minutesym.append((z[a]))
                    price5min_sell.append(gup.iloc[-1,2])
                else:
                    pass
                print("Buy stock found for 5 minute are  :="  ,buy5minute)
                print("Sell stocks found for 5 minute are:="  ,sell5minute)
                a=a+1
                if a==len(tokenall):
                    file=str(buy5minute)
                    filee=str(sell5minute)
                    with open("tokens.txt","w") as  f:
                        f.write(file)
                        f.write(filee)
                    break
                buyframe={"SYMBOLS_BUY":buy5minute,"TOKENS_BUY":buy5minutesym,"Price":price5min_buy}
                fivemin=pd.DataFrame(buyframe)
                display(fivemin)
                buyframee={"SYMBOLS_SELL":sell5minutesym,"TOKENS_SELL":sell5minute,"Price":price5min_sell}
                fivemine=pd.DataFrame(buyframee)
                display(fivemine)
    ashi()
    print("5 minute data complete! Now getting Data of 15 minutes ")
    time_frame     ="15minute"
    a=0
    def ashi15():
        global a
        global BUY_listindicator
        global SELL_listindicator
        while(True):
                print("\n" )
                print("Current Token Number which is processing is",a)
            #km=datetime.now().minute
            #ks=datetime.now().second
            #if km%1==0 and ks==1:
                now_utc = datetime.now(timezone('UTC'))
                now_asia = now_utc.astimezone(timezone('Asia/Kolkata'))
                #now_asia = now_asia.strftime("%S ")
                now_asia = now_asia.strftime("%Y-%m-%d _ %H:%M:%S ")
                edu2=now_asia
                eduu2.append(edu2)
                dff=kite.historical_data(tokenall[a],sdate,todate,time_frame,0)
                dfw=pd.DataFrame(dff)[:-1]
                df=pd.DataFrame(dfw[['date','open','high','low','close']])
                slow_ema = [3,5,7,9,11,13,15,17,19,21,23]
                fast_ema = [25,28,31,34,37,40,43,46,49,52,55,58,61,64,67,70,200]
                def EMA(df, base, target, period, alpha=False):
                    con = pd.concat([df[:period][base].rolling(window=period).mean(), df[period:][base]])
                    if (alpha == True):
                        # (1 - alpha) * previous_val + alpha * current_val where alpha = 1 / period
                        df[target] = con.ewm(alpha=1 / period, adjust=False).mean()
                    else:
                        # ((current_val - previous_val) * coeff) + previous_val where coeff = 2 / (period + 1)
                        df[target] = con.ewm(span=period, adjust=False).mean()
                    df.fillna(0,inplace = True)
                #     return df
                for j in slow_ema:
                    val = "ema"+"_"+str(j)
                    EMA(df,"close",val,j)
                for k in fast_ema:
                    val = "ema"+"_"+str(k)
                    EMA(df,"close",val,k)
                def super_guppy(interval,df,anchor=0):
                    anchor = 0
                    ShowBreak = True
                    ShowSwing = True
                    ShowCon = False
                    uOCCswing = False
                    Lookback = 6
                    emaFilter = False
                    mult = 0
                    buybreak = 0
                    sellbreak = 0
                    buy_barssince_var = 0
                    sell_barssince_var = 0
                    buybreak_barssince_var = 0
                    sellbreak_barssince_var = 0
                    barssince_lst = list()
                    barssince_var = 0
                    bar_count_var = 0
                    buy1 = list()
                    sell1 = list()
                    buy2 = list()
                    sell2 = list()
                    buybreak1 = list()
                    sellbreak1 = list()
                    def barssince(b,barssince_var):
                        barssince_lst = []
                        barssince_var = 0
                        new_var = len(b)
                        for i in b[::-1]:
                            if i == 1:
                                break
                            barssince_lst.append(i)
                        barssince_var = len(barssince_lst)
                        return barssince_var
                        barssince_lst.clear()
                    #isIntraday
                    if interval < 1441 :
                        if (anchor==0 or interval <= 0 or interval >= anchor or anchor > 1441 ):
                            mult = 1
                        else:
                            if round(anchor/interval) > 1:
                                mult = round(anchor/interval)
                            else:
                                mult = 1
                    else:
                        mult = 1
                    #isIntraday Not
                    if interval > 1441:
                        if (anchor==0 or interval <= 0 or interval >= anchor or anchor < 52 ):
                            mult = mult
                        else:
                            if round(anchor/interval) > 1:
                                mult = round(anchor/interval)
                            else:
                                mult = 1
                    else:
                        mult = mult
                    mult = 1
                    for i in range(len(df)):
                        emaF1 = df.loc[i,'ema_3']
                        emaF2 = df.loc[i,'ema_5']
                        emaF3 = df.loc[i,'ema_7']
                        emaF4 = df.loc[i,'ema_9']
                        emaF5 = df.loc[i,'ema_11']
                        emaF6 = df.loc[i,'ema_13']
                        emaF7 = df.loc[i,'ema_15']
                        emaF8 = df.loc[i,'ema_17']
                        emaF9 = df.loc[i,'ema_19']
                        emaF10 = df.loc[i,'ema_21']
                        emaF11 = df.loc[i,'ema_23']
                        emaS1 = df.loc[i,'ema_25']
                        emaS2 = df.loc[i,'ema_28']
                        emaS3 = df.loc[i,'ema_31']
                        emaS4 = df.loc[i,'ema_34']
                        emaS5 = df.loc[i,'ema_37']
                        emaS6 = df.loc[i,'ema_40']
                        emaS7 = df.loc[i,'ema_43']
                        emaS8 = df.loc[i,'ema_46']
                        emaS9 = df.loc[i,'ema_49']
                        emaS10 = df.loc[i,'ema_52']
                        emaS11 = df.loc[i,'ema_55']
                        emaS12 = df.loc[i,'ema_58']
                        emaS13 = df.loc[i,'ema_61']
                        emaS14 = df.loc[i,'ema_64']
                        emaS15 = df.loc[i,'ema_67']
                        emaS16 = df.loc[i,'ema_70']
                        ema200 = df.loc[i,'ema_200']
                        emafast = (emaF1 + emaF2 + emaF3 + emaF4 + emaF5 + emaF6 + emaF7 + emaF8 + emaF9 + emaF10 + emaF11)/11
                        emaslow = (emaS1 + emaS2 + emaS3 + emaS4 + emaS5 + emaS6 + emaS7 + emaS8 + emaS9 + emaS10 + emaS11 + emaS12 + emaS13 + emaS14 + emaS15 + emaS16)/16
                        #Fast EMA Color Rules
                        colfastL = (emaF1>emaF2 and emaF2>emaF3 and emaF3>emaF4 and emaF4>emaF5 and emaF5>emaF6 and emaF6>emaF7 and emaF7>emaF8 and emaF8>emaF9 and emaF9>emaF10 and emaF10>emaF11)
                        colfastS = (emaF1<emaF2 and emaF2<emaF3 and emaF3<emaF4 and emaF4<emaF5 and emaF5<emaF6 and emaF6<emaF7 and emaF7<emaF8 and emaF8<emaF9 and emaF9<emaF10 and emaF10<emaF11)
                        #Slow EMA Color Rules
                        colslowL = (emaS1>emaS2 and emaS2>emaS3 and emaS3>emaS4 and emaS4>emaS5 and emaS5>emaS6 and emaS6>emaS7 and emaS7>emaS8) and (emaS8>emaS9 and emaS9>emaS10 and emaS10>emaS11 and emaS11>emaS12 and emaS12>emaS13 and emaS13>emaS14 and emaS14>emaS15 and emaS15>emaS16)
                        colslowS = (emaS1<emaS2 and emaS2<emaS3 and emaS3<emaS4 and emaS4<emaS5 and emaS5<emaS6 and emaS6<emaS7 and emaS7<emaS8) and (emaS8<emaS9 and emaS9<emaS10 and emaS10<emaS11 and emaS11<emaS12 and emaS12<emaS13 and emaS13<emaS14 and emaS14<emaS15 and emaS15<emaS16)
                        if  emafast > emaslow and not colslowS and colfastL and (not ShowCon or colslowL) and (not emaFilter or emafast>ema200):
                            if int(buy1[-1]) > 0:
                                buy = buy1[-1] + 1
                            else:
                                buy = 1
                        else:
                            buy = 0
                        buy1.append(buy)
                        if  emafast < emaslow and not colslowL and colfastS and (not ShowCon or colslowS) and (not emaFilter or emafast<ema200):
                            if int(sell1[-1]) > 0:
                                sell = sell1[-1] + 1
                            else:
                                sell = 1
                        else:
                            sell = 0
                        sell1.append(sell)
                        #buy
                        if buy>1 and colfastL and (uOCCswing and ((df.loc[i-1,'close']<df.loc[i-1,'open']) and (df.loc[i,'close']>df.loc[i,'open']))):
                            buy3 = 1
                        else:
                            buy3 = buy
                        buy2.append(buy3)
                        #sell
                        if sell>1 and colfastS and (uOCCswing and ((df.loc[i-1,'close']<df.loc[i-1,'open']) and (df.loc[i,'close']>df.loc[i,'open']))):
                            sell3 = 1
                        else:
                            sell3 = sell
                        sell2.append(sell3)
                        #buybreak
                        if emafast > emaslow and not colslowS and (not emaFilter or emafast>ema200):
                            if buybreak1[-1] > 0:
                                buybreak = buybreak1[-1] + 1
                            else:
                                buybreak = 1
                        else:
                            buybreak = 0
                        buybreak1.append(buybreak)
                        if emafast < emaslow and not colslowL and (not emaFilter or emafast<ema200):
                            if sellbreak1[-1] > 0:
                                sellbreak = sellbreak1[-1]+1
                            else:
                                sellbreak = 1
                        else:
                            sellbreak = 0
                        sellbreak1.append(sellbreak)
                        #arrow plotting
                        #buy_arrow
                        buy_barssince_var = barssince(buy2[:-1],barssince_var)
                        if (ShowSwing and buy3==1)and buy_barssince_var > 6:
                            buy_arrow = 1
                        else:
                            buy_arrow = 0
                        #sell arrow
                        sell_barssince_var = barssince(sell2[:-1],barssince_var)
                        if ShowSwing and (sell3==1 and sell_barssince_var > 6):
                            sell_arrow = 1
                        else:
                            sell_arrow = 0
                        #buybreak_arrow
                        buybreak_barssince_var = barssince(buybreak1[:-1],barssince_var)
                        sellbreak_barssince_var = barssince(sellbreak1[:-1],barssince_var)

                        if ShowBreak and buybreak==1 and (sellbreak_barssince_var>Lookback) and (buybreak_barssince_var>Lookback):
                            buybreak_arrow = 1
                        else:
                            buybreak_arrow = 0
                        #sellbreak_arrow
                        if ShowBreak and sellbreak==1 and (buybreak_barssince_var>Lookback) and (sellbreak_barssince_var>Lookback):
                            sellbreak_arrow = 1
                        else:
                            sellbreak_arrow = 0
                        if buy_arrow==1 and sell_arrow==0 and buybreak_arrow==0 and sellbreak_arrow==0:
                            arrow_color = 'green'
                        elif buy_arrow==0 and sell_arrow==1 and buybreak_arrow==0 and sellbreak_arrow==0:
                            arrow_color = 'red'
                        elif sell_arrow==0 and (buy_arrow==0 or buy_arrow==1) and buybreak_arrow==1 and sellbreak_arrow==0:
                            arrow_color = 'aqua'
                        elif buy_arrow==0 and (sell_arrow==1 or sell_arrow==0) and buybreak_arrow==0 and sellbreak_arrow==1:
                            arrow_color = 'blue'
                        else:
                            arrow_color = 'none'
                        df.loc[i,'arrow_color'] = arrow_color
                    df = df[['date','open','high','low','close','arrow_color']]
                    return df
                df=super_guppy(15,df)
                gup=df
                print(" \n ")
                print(" \t \t \t \t Zerodha GUPPY SCREENER on 15 minute data ")
                print(" \t \t \t \t 15 minute Program Start time is  ", eduu2[0])
                print("\t \t \t \n Current Token checking  " , tokenall[a])
                print("\n" )
                print(" \t \t \t \n Current Colour on this token is " , gup.iloc[-1,5])
                if "green" in gup.iloc[-1,5]:
                    print("Buy stock found ")
                    buy10minute.append((tokenall[a]))
                    buy10minutesym.append((z[a]))
                    price15min_buy.append(gup.iloc[-1,2])
                if "red" in gup.iloc[-1,5]:
                    print(" Sell Stock found ")
                    sell10minute.append((tokenall[a]))
                    sell10minutesym.append((z[a]))
                    priceedit.append(gup.iloc[-1,2])
                else:
                    pass
                print("Buy stock found for 15 minute are  :="  ,buy10minute)
                print("Sell stocks found for 15 minute are:="  ,sell10minute)
                a=a+1
                if a==len(tokenall):
                    file=str(buy5minute)
                    filee=str(sell5minute)
                    file2=str(buy10minute)
                    filee2=str(sell10minute)
                    with open("tokens.txt","w") as  f:
                        f.write(file)
                        f.write(filee)
                        f.write(file2)
                        f.write(filee2)
                    break

                buyframe15={"SYMBOLS_BUY":buy10minutesym,"TOKENS_BUY":buy10minute,"Price":price15min_buy}
                fifteenemin=pd.DataFrame(buyframe15)
                display(fifteenemin)
                buyframe156={"SYMBOLS_SELL":sell10minutesym,"TOKENS_SELL":sell10minute,"Price":priceedit}
                fifteenemin6=pd.DataFrame(buyframe156)
                display(fifteenemin6)

    ashi15()
    print("5 and 15 minute data complete now getting Data of 30 minutes of minute frame")
    time_frame     ="30minute"
    a=0
    def ashi30():
        global a
        global BUY_listindicator
        global SELL_listindicator
        while(True):
                print("\n" )
                print("Current Token Number which is processing is",a)
            #km=datetime.now().minute
            #ks=datetime.now().second
            #if km%1==0 and ks==1:
                now_utc = datetime.now(timezone('UTC'))
                now_asia = now_utc.astimezone(timezone('Asia/Kolkata'))
                #now_asia = now_asia.strftime("%S ")
                now_asia = now_asia.strftime("%Y-%m-%d _ %H:%M:%S ")
                edu3=now_asia
                eduu3.append(edu3)
                dff=kite.historical_data(tokenall[a],sdate,todate,time_frame,0)
                dfw=pd.DataFrame(dff)[:-1]
                df=pd.DataFrame(dfw[['date','open','high','low','close']])
                slow_ema = [3,5,7,9,11,13,15,17,19,21,23]
                fast_ema = [25,28,31,34,37,40,43,46,49,52,55,58,61,64,67,70,200]
                def EMA(df, base, target, period, alpha=False):
                    con = pd.concat([df[:period][base].rolling(window=period).mean(), df[period:][base]])
                    if (alpha == True):
                        # (1 - alpha) * previous_val + alpha * current_val where alpha = 1 / period
                        df[target] = con.ewm(alpha=1 / period, adjust=False).mean()
                    else:
                        # ((current_val - previous_val) * coeff) + previous_val where coeff = 2 / (period + 1)
                        df[target] = con.ewm(span=period, adjust=False).mean()
                    df.fillna(0,inplace = True)
                #     return df
                for j in slow_ema:
                    val = "ema"+"_"+str(j)
                    EMA(df,"close",val,j)
                for k in fast_ema:
                    val = "ema"+"_"+str(k)
                    EMA(df,"close",val,k)
                def super_guppy(interval,df,anchor=0):
                    anchor = 0
                    ShowBreak = True
                    ShowSwing = True
                    ShowCon = False
                    uOCCswing = False
                    Lookback = 6
                    emaFilter = False
                    mult = 0
                    buybreak = 0
                    sellbreak = 0
                    buy_barssince_var = 0
                    sell_barssince_var = 0
                    buybreak_barssince_var = 0
                    sellbreak_barssince_var = 0
                    barssince_lst = list()
                    barssince_var = 0
                    bar_count_var = 0
                    buy1 = list()
                    sell1 = list()
                    buy2 = list()
                    sell2 = list()
                    buybreak1 = list()
                    sellbreak1 = list()
                    def barssince(b,barssince_var):
                        barssince_lst = []
                        barssince_var = 0
                        new_var = len(b)
                        for i in b[::-1]:
                            if i == 1:
                                break
                            barssince_lst.append(i)
                        barssince_var = len(barssince_lst)
                        return barssince_var
                        barssince_lst.clear()
                    #isIntraday
                    if interval < 1441 :
                        if (anchor==0 or interval <= 0 or interval >= anchor or anchor > 1441 ):
                            mult = 1
                        else:
                            if round(anchor/interval) > 1:
                                mult = round(anchor/interval)
                            else:
                                mult = 1
                    else:
                        mult = 1
                    #isIntraday Not
                    if interval > 1441:
                        if (anchor==0 or interval <= 0 or interval >= anchor or anchor < 52 ):
                            mult = mult
                        else:
                            if round(anchor/interval) > 1:
                                mult = round(anchor/interval)
                            else:
                                mult = 1
                    else:
                        mult = mult
                    mult = 1
                    for i in range(len(df)):
                        emaF1 = df.loc[i,'ema_3']
                        emaF2 = df.loc[i,'ema_5']
                        emaF3 = df.loc[i,'ema_7']
                        emaF4 = df.loc[i,'ema_9']
                        emaF5 = df.loc[i,'ema_11']
                        emaF6 = df.loc[i,'ema_13']
                        emaF7 = df.loc[i,'ema_15']
                        emaF8 = df.loc[i,'ema_17']
                        emaF9 = df.loc[i,'ema_19']
                        emaF10 = df.loc[i,'ema_21']
                        emaF11 = df.loc[i,'ema_23']
                        emaS1 = df.loc[i,'ema_25']
                        emaS2 = df.loc[i,'ema_28']
                        emaS3 = df.loc[i,'ema_31']
                        emaS4 = df.loc[i,'ema_34']
                        emaS5 = df.loc[i,'ema_37']
                        emaS6 = df.loc[i,'ema_40']
                        emaS7 = df.loc[i,'ema_43']
                        emaS8 = df.loc[i,'ema_46']
                        emaS9 = df.loc[i,'ema_49']
                        emaS10 = df.loc[i,'ema_52']
                        emaS11 = df.loc[i,'ema_55']
                        emaS12 = df.loc[i,'ema_58']
                        emaS13 = df.loc[i,'ema_61']
                        emaS14 = df.loc[i,'ema_64']
                        emaS15 = df.loc[i,'ema_67']
                        emaS16 = df.loc[i,'ema_70']
                        ema200 = df.loc[i,'ema_200']
                        emafast = (emaF1 + emaF2 + emaF3 + emaF4 + emaF5 + emaF6 + emaF7 + emaF8 + emaF9 + emaF10 + emaF11)/11
                        emaslow = (emaS1 + emaS2 + emaS3 + emaS4 + emaS5 + emaS6 + emaS7 + emaS8 + emaS9 + emaS10 + emaS11 + emaS12 + emaS13 + emaS14 + emaS15 + emaS16)/16
                        #Fast EMA Color Rules
                        colfastL = (emaF1>emaF2 and emaF2>emaF3 and emaF3>emaF4 and emaF4>emaF5 and emaF5>emaF6 and emaF6>emaF7 and emaF7>emaF8 and emaF8>emaF9 and emaF9>emaF10 and emaF10>emaF11)
                        colfastS = (emaF1<emaF2 and emaF2<emaF3 and emaF3<emaF4 and emaF4<emaF5 and emaF5<emaF6 and emaF6<emaF7 and emaF7<emaF8 and emaF8<emaF9 and emaF9<emaF10 and emaF10<emaF11)
                        #Slow EMA Color Rules
                        colslowL = (emaS1>emaS2 and emaS2>emaS3 and emaS3>emaS4 and emaS4>emaS5 and emaS5>emaS6 and emaS6>emaS7 and emaS7>emaS8) and (emaS8>emaS9 and emaS9>emaS10 and emaS10>emaS11 and emaS11>emaS12 and emaS12>emaS13 and emaS13>emaS14 and emaS14>emaS15 and emaS15>emaS16)
                        colslowS = (emaS1<emaS2 and emaS2<emaS3 and emaS3<emaS4 and emaS4<emaS5 and emaS5<emaS6 and emaS6<emaS7 and emaS7<emaS8) and (emaS8<emaS9 and emaS9<emaS10 and emaS10<emaS11 and emaS11<emaS12 and emaS12<emaS13 and emaS13<emaS14 and emaS14<emaS15 and emaS15<emaS16)
                        if  emafast > emaslow and not colslowS and colfastL and (not ShowCon or colslowL) and (not emaFilter or emafast>ema200):
                            if int(buy1[-1]) > 0:
                                buy = buy1[-1] + 1
                            else:
                                buy = 1
                        else:
                            buy = 0
                        buy1.append(buy)
                        if  emafast < emaslow and not colslowL and colfastS and (not ShowCon or colslowS) and (not emaFilter or emafast<ema200):
                            if int(sell1[-1]) > 0:
                                sell = sell1[-1] + 1
                            else:
                                sell = 1
                        else:
                            sell = 0
                        sell1.append(sell)
                        #buy
                        if buy>1 and colfastL and (uOCCswing and ((df.loc[i-1,'close']<df.loc[i-1,'open']) and (df.loc[i,'close']>df.loc[i,'open']))):
                            buy3 = 1
                        else:
                            buy3 = buy
                        buy2.append(buy3)
                        #sell
                        if sell>1 and colfastS and (uOCCswing and ((df.loc[i-1,'close']<df.loc[i-1,'open']) and (df.loc[i,'close']>df.loc[i,'open']))):
                            sell3 = 1
                        else:
                            sell3 = sell
                        sell2.append(sell3)
                        #buybreak
                        if emafast > emaslow and not colslowS and (not emaFilter or emafast>ema200):
                            if buybreak1[-1] > 0:
                                buybreak = buybreak1[-1] + 1
                            else:
                                buybreak = 1
                        else:
                            buybreak = 0
                        buybreak1.append(buybreak)
                        if emafast < emaslow and not colslowL and (not emaFilter or emafast<ema200):
                            if sellbreak1[-1] > 0:
                                sellbreak = sellbreak1[-1]+1
                            else:
                                sellbreak = 1
                        else:
                            sellbreak = 0
                        sellbreak1.append(sellbreak)
                        #arrow plotting
                        #buy_arrow
                        buy_barssince_var = barssince(buy2[:-1],barssince_var)
                        if (ShowSwing and buy3==1)and buy_barssince_var > 6:
                            buy_arrow = 1
                        else:
                            buy_arrow = 0
                        #sell arrow
                        sell_barssince_var = barssince(sell2[:-1],barssince_var)
                        if ShowSwing and (sell3==1 and sell_barssince_var > 6):
                            sell_arrow = 1
                        else:
                            sell_arrow = 0
                        #buybreak_arrow
                        buybreak_barssince_var = barssince(buybreak1[:-1],barssince_var)
                        sellbreak_barssince_var = barssince(sellbreak1[:-1],barssince_var)

                        if ShowBreak and buybreak==1 and (sellbreak_barssince_var>Lookback) and (buybreak_barssince_var>Lookback):
                            buybreak_arrow = 1
                        else:
                            buybreak_arrow = 0
                        #sellbreak_arrow
                        if ShowBreak and sellbreak==1 and (buybreak_barssince_var>Lookback) and (sellbreak_barssince_var>Lookback):
                            sellbreak_arrow = 1
                        else:
                            sellbreak_arrow = 0
                        if buy_arrow==1 and sell_arrow==0 and buybreak_arrow==0 and sellbreak_arrow==0:
                            arrow_color = 'green'
                        elif buy_arrow==0 and sell_arrow==1 and buybreak_arrow==0 and sellbreak_arrow==0:
                            arrow_color = 'red'
                        elif sell_arrow==0 and (buy_arrow==0 or buy_arrow==1) and buybreak_arrow==1 and sellbreak_arrow==0:
                            arrow_color = 'aqua'
                        elif buy_arrow==0 and (sell_arrow==1 or sell_arrow==0) and buybreak_arrow==0 and sellbreak_arrow==1:
                            arrow_color = 'blue'
                        else:
                            arrow_color = 'none'
                        df.loc[i,'arrow_color'] = arrow_color
                    df = df[['date','open','high','low','close','arrow_color']]
                    return df
                df=super_guppy(15,df)
                gup=df
                print(" \n ")
                print(" \t \t \t \t Zerodha GUPPY SCREENER for 30 minute Data")
                print(" \t \t \t \t 30 minute Program Start time is  ", eduu3[0])
                print("\n" )
                print("\t \t \t \n Current Token checking  " , tokenall[a])
                print("\n" )
                print(" \t \t \t \n Current Colour on this token is " , gup.iloc[-1,5])
                if "green" in gup.iloc[-1,5]:
                    print("BUY stock found ")
                    buy15minute.append((tokenall[a]))
                    buy15minutesym.append((z[a]))
                    price30min_buy.append(gup.iloc[-1,2])
                if "red" in gup.iloc[-1,5]:
                    print(" SELL Stock found ")
                    sell15minute.append((tokenall[a]))
                    sell15minutesym.append((z[a]))
                    price30min_sell.append(gup.iloc[-1,2])
                else:
                    pass
                print("Buy stock found for 30 minute are  :="  ,buy15minute)
                print("Sell stocks found for 30 minute are:="  ,sell15minute)
                a=a+1
                if a==len(tokenall):
                    file=str(buy5minute)
                    filee=str(sell5minute)
                    file2=str(buy10minute)
                    filee2=str(sell10minute)
                    file3=str(buy15minute)
                    filee3=str(sell15minute)
                    with open("tokens","w") as  f:
                        f.write(file)
                        f.write(filee)
                        f.write(file2)
                        f.write(filee2)
                        f.write(file3)
                        f.write(filee3)
                        print("SCANNING COMPLETE")
                    break
                buyframe30={"SYMBOLS_BUY":buy15minutesym,"TOKENS_BUY":buy15minute,"Price":price30min_buy}
                thirtymin=pd.DataFrame(buyframe30)
                display(thirtymin)
                buyframe303={"SYMBOLS_SELL":sell15minutesym,"TOKENS_SELL":sell15minute,"Price":price30min_sell}
                thirtymin3=pd.DataFrame(buyframe303)
                display(thirtymin3)
    ashi30()
    print(" \n ")
    print("5 ,15 and 30 are completed ! Results are ")
    print("\n BUY/SELL 5 minute frame" )
    print(" \t \t \t \t 5 minute Program Start time is  ", eduu[0])
    print(" \n ")
    print("\n BUY/SELL 5 minute frame" )
    buyframe={"SYMBOLS_BUY":buy5minute,"TOKENS_BUY":buy5minutesym,"Price":price5min_buy}
    fivemin=pd.DataFrame(buyframe)
    display(fivemin)
    buyframee={"SYMBOLS_SELL":sell5minutesym,"TOKENS_SELL":sell5minute,"Price":price5min_sell}
    fivemine=pd.DataFrame(buyframee)
    display(fivemine)
    print("\n BUY/SELL 15 minute frame" )
    print(" \t \t \t \t 15 minute Program Start time is  ", eduu2[0])
    buyframe15={"SYMBOLS_BUY":buy10minutesym,"TOKENS_BUY":buy10minute,"Price":price15min_buy}
    fifteenemin=pd.DataFrame(buyframe15)
    display(fifteenemin)
    buyframe156={"SYMBOLS_SELL":sell10minutesym,"TOKENS_SELL":sell10minute,"Price":priceedit}
    fifteenemin6=pd.DataFrame(buyframe156)
    display(fifteenemin6)
    print("\n" )
    print("\n BUY/SELL 30 minute frame" )
    print(" \t \t \t \t 30 minute Program Start time is  ", eduu3[0])
    buyframe30={"SYMBOLS_BUY":buy15minutesym,"TOKENS_BUY":buy15minute,"Price":price30min_buy}
    thirtymin=pd.DataFrame(buyframe30)
    display(thirtymin)
    buyframe303={"SYMBOLS_SELL":sell15minutesym,"TOKENS_SELL":sell15minute,"Price":price30min_sell}
    thirtymin3=pd.DataFrame(buyframe303)
    display(thirtymin3)
    print("\n")
    # buy
    k=set(buy5minute)
    l=set(buy10minute)
    m=set(buy15minute)
    # sell
    n=set(sell5minute)
    s=set(sell10minute)
    p=set(sell15minute)
    buya=n|s|p
    sellb=k|l|m
    print("  \t \t \t \t \t ALL ' BUY | SELL '  - Neglecting Common")
    print("\n")
    print("BUY from ALL  ",sellb)
    print("SELL From ALL ",buya)
    print("\n")
    print("  \t \t \t \t \t COMMON ' BUY & SELL ' ")
    print("\n")
    buycommmon=n&s&p
    sellcommon=k&l&m
    print("BUY from ALL  ",buycommmon)
    print("SELL From ALL ",sellcommon)
    print("\n")
    # finding coomon name
    comm_buy=[]
    comm_buy_sym=[]
    comm_sell=[]
    comm_sell_sym=[]
    ee=0
    buy_commmon=list(buycommmon)
    sell_common=list(sellcommon)
    if buy_commmon:
        print("BUY COMMON FOUND")
        while (True):
            df=pd.DataFrame(kite.instruments("NSE"))[["instrument_token","tradingsymbol","name"]]
            zall=df[df["instrument_token"]==buy_commmon[ee]]
            comm_buy.append(zall.iloc[-1,0])
            comm_buy_sym.append(zall.iloc[-1,1])
            ee=ee+1
            if ee==len(buy_commmon):
                break
    if sell_common:
        print("BUY COMMON FOUND")
        while (True):
            df=pd.DataFrame(kite.instruments("NSE"))[["instrument_token","tradingsymbol","name"]]
            zall=df[df["instrument_token"]==sell_common[ee]]
            comm_sell.append(zall.iloc[-1,0])
            comm_sell_sym.append(zall.iloc[-1,1])
            ee=ee+1
            if ee==len(sell_common):
                break
    print("BUY sell COMMON STOCK")
    dic_comm_buy={"BUY_common_symbol":comm_buy_sym, "BUY_common_Token":comm_buy}
    dic_comm_buy_disp=pd.DataFrame(dic_comm_buy)
    dic_comm_sell={"SELL_common_symbol":comm_sell_sym, "SELL_common_Token":comm_sell}
    dic_comm_sell_disp=pd.DataFrame(dic_comm_sell)
    display(dic_comm_buy_disp)
    display(dic_comm_sell_disp)
    print("\t \t \t \t \t !! ALL COMPLETED !!")
    print(" \n ")

Output –

WELCOME TO SCREENER


DO you want Scanning ? YES/NO :-YES
SCANNING START

 Getting All tokens for processing BUY SELL

 Complete ! All tokens are fetched from file


[2955009, 758529, 837889, 486657, 1510401, 6401, 4600577, 3463169, 633601, 4583169, 103425, 356865, 3484417, 1207553, 806401, 3876097, 348929, 951809, 245249, 2455041, 3756033, 54273, 4701441, 1723649, 2939649, 2748929, 3465729, 5533185, 41729, 3431425, 6191105, 1270529, 2865921, 7458561, 1102337, 2763265, 2672641, 617473, 408065, 2889473, 4592385, 975873, 969473, 67329, 579329, 4632577, 5215745, 1346049, 81153, 300545]
 Now checking Condition of BUY sell of GUPPY
0


Current Token Number which is processing is 0


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   2955009



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 1


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   758529



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 2


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   837889



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 3


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   486657



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 4


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   1510401



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 5


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   6401



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 6


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   4600577



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 7


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   3463169



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 8


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   633601



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 9


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   4583169



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 10


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   103425



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 11


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   356865



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 12


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   3484417



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 13


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   1207553



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 14


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   806401



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 15


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   3876097



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 16


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   348929



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 17


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   951809



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 18


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   245249



 Current Colour on this token is  blue
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 19


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   2455041



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 20


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   3756033



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 21


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   54273



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 22


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   4701441



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 23


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   1723649



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 24


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   2939649



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 25


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   2748929



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 26


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   3465729



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 27


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   5533185



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 28


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   41729



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 29


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   3431425



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 30


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   6191105



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 31


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   1270529



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 32


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   2865921



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 33


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   7458561



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 34


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   1102337



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 35


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   2763265



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 36


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   2672641



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 37


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   617473



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 38


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   408065



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 39


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   2889473



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 40


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   4592385



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 41


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   975873



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 42


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   969473



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 43


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   67329



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 44


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   579329



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 45


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   4632577



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 46


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   5215745



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 47


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   1346049



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 48


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   81153



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 49


 	 	 	 	 Zerodha GUPPY SCREENER on 5 minute Data
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05

 Current Token checking   300545



 Current Colour on this token is  none
Buy stock found for 5 minute are  := []
Sell stocks found for 5 minute are:= []
5 minute data complete! Now getting Data of 15 minutes


Current Token Number which is processing is 0


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   2955009



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 1


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   758529



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 2


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   837889



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 3


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   486657



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 4


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   1510401



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 5


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   6401



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 6


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   4600577



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 7


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   3463169



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 8


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   633601



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 9


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   4583169



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 10


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   103425



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 11


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   356865



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 12


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   3484417



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 13


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   1207553



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 14


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   806401



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 15


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   3876097



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 16


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   348929



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 17


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   951809



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 18


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   245249



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 19


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   2455041



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 20


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   3756033



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 21


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   54273



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 22


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   4701441



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 23


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   1723649



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 24


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   2939649



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 25


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   2748929



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 26


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   3465729



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 27


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   5533185



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 28


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   41729



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 29


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   3431425



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 30


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   6191105



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 31


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   1270529



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 32


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   2865921



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 33


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   7458561



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 34


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   1102337



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 35


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   2763265



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 36


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   2672641



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 37


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   617473



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 38


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   408065



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 39


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   2889473



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 40


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   4592385



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 41


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   975873



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 42


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   969473



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 43


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   67329



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 44


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   579329



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 45


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   4632577



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 46


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   5215745



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 47


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   1346049



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 48


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   81153



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 49


 	 	 	 	 Zerodha GUPPY SCREENER on 15 minute data
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31

 Current Token checking   300545



 Current Colour on this token is  none
Buy stock found for 15 minute are  := []
Sell stocks found for 15 minute are:= []
5 and 15 minute data complete now getting Data of 30 minutes of minute frame


Current Token Number which is processing is 0


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   2955009



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 1


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   758529



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 2


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   837889



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 3


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   486657



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 4


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   1510401



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 5


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   6401



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 6


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   4600577



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 7


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   3463169



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 8


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   633601



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 9


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   4583169



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 10


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   103425



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 11


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   356865



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 12


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   3484417



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 13


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   1207553



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 14


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   806401



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 15


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   3876097



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 16


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   348929



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 17


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   951809



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 18


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   245249



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 19


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   2455041



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 20


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   3756033



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 21


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   54273



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 22


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   4701441



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 23


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   1723649



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 24


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   2939649



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 25


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   2748929



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 26


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   3465729



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 27


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   5533185



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 28


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   41729



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 29


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   3431425



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 30


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   6191105



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 31


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   1270529



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 32


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   2865921



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 33


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   7458561



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 34


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   1102337



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 35


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   2763265



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 36


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   2672641



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 37


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   617473



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 38


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   408065



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 39


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   2889473



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 40


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   4592385



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 41


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   975873



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 42


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   969473



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 43


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   67329



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 44


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   579329



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 45


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   4632577



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 46


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   5215745



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 47


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   1346049



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 48


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   81153



 Current Colour on this token is  none
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= []
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price


Current Token Number which is processing is 49


 	 	 	 	 Zerodha GUPPY SCREENER for 30 minute Data
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11



 Current Token checking   300545



 Current Colour on this token is  red
 SELL Stock found
Buy stock found for 30 minute are  := []
Sell stocks found for 30 minute are:= [300545]
SCANNING COMPLETE


5 ,15 and 30 are completed ! Results are

 BUY/SELL 5 minute frame
 	 	 	 	 5 minute Program Start time is   2023-11-25 _ 02:29:05



 BUY/SELL 5 minute frame
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price

 BUY/SELL 15 minute frame
 	 	 	 	 15 minute Program Start time is   2023-11-25 _ 02:30:31
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price



 BUY/SELL 30 minute frame
 	 	 	 	 30 minute Program Start time is   2023-11-25 _ 02:31:11
SYMBOLS_BUY	TOKENS_BUY	Price
SYMBOLS_SELL	TOKENS_SELL	Price
0	GNFC	300545	699.85


  	 	 	 	 	 ALL ' BUY | SELL '  - Neglecting Common


BUY from ALL   set()
SELL From ALL  {300545}


  	 	 	 	 	 COMMON ' BUY & SELL '


BUY from ALL   set()
SELL From ALL  set()


BUY sell COMMON STOCK
BUY_common_symbol	BUY_common_Token
SELL_common_symbol	SELL_common_Token
	 	 	 	 	 !! ALL COMPLETED !!

The Guppy strategy in this script is a comprehensive approach for analyzing stock trends using EMAs.

It’s designed to capture both short-term movements and long-term trends, offering traders insights into potential buy and sell opportunities based on the alignment of EMAs. By analyzing multiple time frames, the script aims to provide a robust analysis for traders looking to capitalize on various market movements.

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