trade-trails12345 0.0.4
Streaming video data via networks
Keywords: python,video,stream,video stream,camera stream,sockets


# Trade-Trails

In this library you will find TradeTrails company Function which is often used in Codes.



## **Package Installation**

For installing this library you can use any python compiler or you can  open **CMD** and install  python 3.6 version or the above version.

Use the following syntx to install the function:-



    pip install trade-trails  





## **Package Import**

This import package is for installing all the package

    

    from trade_trails.trade_trails import *









## **Functions**

Following are the given functions to fetch the required data :-



- [Future Close Price](#future-close-price)

- [Call Price](#call-price)

- [Put Price](#put-price)

- [NearEst Base Price](#nearest-base-price)

- [Best Of Three](#best-of-three)

- [Sell Stop Loss](#sell-stop-loss)

- [Buy Stop Loss](#buy-stop-loss)

- [File Name](#file-name)



### **Future Close Price**





This function is use to fetch  close price at the  given time .



- Time should be in a string and **HH:MM:SS**

- Dataframe should be **FUTURE DATA**



**Import Package**

    

    from trade_trails.trade_trails import FutureClose

**Syntax**

        

    FutureClose.close_price(self, time, dataframe)



**Example -** 

 - Input:



    Time = "09:20:59"



    df =  Variable **df** should contain a dataframe

 

 **CODE**



    from trade_trails.trade_trails import FutureClose



    data = FutureClose.close_price(time=Time, dataframe=df) 

    print(data)



- **Output :**

                

        34661.45

    



### **ATM (At The Money)**

This function used to find At The Money Strike , Call Price and Put Price

- Time should be in a string and **HH:MM:SS**

- Dataframe should be **OPTION DATA**



**Import Package**

    

    from trade_trails.trade_trails import OptionData



**Syntax**



    OptionData(self, dataframe, times).atm()



**Example-**

- Input:



    Time = "09:20:59"

    

    df =  Variable **df** should contain a dataframe

 

 **CODE**



    from trade_trails.trade_trails import OptionData



    atm = OptionData(dataframe=df, time=times).atm() 

    print(atm)





- **Output :**

       

       [{'atm': '31400', 'call_atm_price': 395.05, 'put_atm_price': 427.2}]



### **CALL PRICE**



It returns call close price at the given time and given strike of OPTION DATA

- Time should be in a string and **HH:MM:SS**

- Dataframe should be **OPTION DATA**

- Strike should be a string



**Import Package**

    

    from trade_trails.trade_trails import OptionData



**Syntax**



    OptionData(self, dataframe, time, strike).call_price()



**Example-**

- Input:



    df =  Variable **df** should contain a dataframe



    Time = "09:20:59"

    

    Strike= "31400"

    

 **CODE:**

    

    from trade_trails.trade_trails import OptionData



    call_price = OptionData(dataframe=df, time=Time, strike=Strike).call_price() 

    print(call_price)



- **Output :**

       

       395.05





### **PUT PRICE**



It returns put close price at the given time and given strike of OPTION DATA

- Time should be in a string and **HH:MM:SS**

- Dataframe should be **OPTION DATA**

- Strike should be a string



**Import Package**

    

    from trade_trails.trade_trails import OptionData



**Syntax**



    OptionData(self, dataframe, time, strike).put_price()



**Example-**

- Input:



    df =  Variable **df** should contain a dataframe



    Time = "09:20:59"

    

    Strike= "31400"

    

 **CODE:**

    

    from trade_trails.trade_trails import OptionData



    put_price = OptionData(dataframe=df, time=Time, strike=Strike).put_price() 

    print(put_price)



- **Output :**

       

       427.02







### **Nearest Base Price**



It returns  close price and strike of nearest base price by using time , base price and option 

type as input of OPTION DATA

- Dataframe should be **OPTION DATA**

- Time should be in a string and **HH:MM:SS**

- Base Price should be an integer

- Option type (CE/PE) should be string  (Default Value = CE)



**Import Package**

    

    from trade_trails.trade_trails import OptionData



**Syntax**



    OptionData(self, dataframe,, time, base_price, option_type).nearest_base_price()



**Example-**

- Input:



    df =  Variable **df** should contain a dataframe



    Time = "09:20:59"

    

    Base_Price = 250

   

    Option_Type = "PE/CE"   



 **CODE:**

    

    from trade_trails.trade_trails import OptionData



    nearest_base_price = OptionData(dataframe=df, time=Time, base_price=Base_Price, option_type=Option_Type).nearest_base_price() 

    print(nearest_base_price)



- **Output :**

       

      [{'nearest_base_price': 263.1, 'nearest_base_price_strike': '31700'}]

       





### **Best Of Three**



It returns **Entry Price** and **Entry Strike** from best three combination by using Time and Base price of **OPTION DATA**



- Dataframe should be **OPTION DATA**

- Time should be in a string and **HH:MM:SS**

- Base Price should be an integer 



**Import Package**

    

    from trade_trails.trade_trails import OptionData





**Syntax**



    OptionData(self, dataframe, time, base_price).best_of_three()





**Example-**

- Input:



    df =  Variable **df** should contain a dataframe



    Time = "09:20:59"

    

    Base_Price = 250

   

 **CODE:**

        

    from trade_trails.trade_trails import OptionData



    best_of_three = OptionData(dataframe=df, time=Time, base_price=Base_Price).best_of_three() 

    print(best_of_three)



- **Output :**

       

        [{'call_strike': '31700', 'call_entry_price': 263.1, 'put_strike': '31000', 'put_entry_price': 260.65}]



### **Sell Stop Loss**



It will returns **Exit Price** and **Exit Time** when it will hit the stop loss for sell strategy by using Entry time, Exit time, Option type, Streike, Stop Loss Price and OPTION DATA



- Dataframe should be **OPTION DATA**

- Entry Time should be in a string and **HH:MM:SS**

- Exit Time should be in a string and **HH:MM:SS**

- Option type (CE/PE) should be string (Default Value = CE)

- Strike should be a string

- Stop Loss Price should be float 



**Import Package**

    

    from trade_trails.trade_trails import OptionData



**Syntax**



    StopLoss(self, dataframe, entry_time, exit_time, option_type, strike, stoploss_price).sell_stop_loss()





**Example-**

- Input:



    df =  Variable **df** should contain a dataframe



    Entry_Time = "09:20:59"



    Exit_Time = "15:20:59"



    Option_Type = "PE/CE"   



    Strike= "31400"



    Stop_Loss_Price = 294.5

   

 **CODE:**

    

    from trade_trails.trade_trails import OptionData



    sell_stop_loss = StopLoss(dataframe=df, entry_time=Entry_Time, exit_time=Exit_Time, option_type=Option_Type, strike=Strike, stoploss_price=Stop_Loss_Price).sell_stop_loss() 

    print(sell_stop_loss)



- **Output :**

       

        [{'CE_exit_time': datetime.time(10, 23, 59), 'CE_exit_price': 294.5}]





### **Buy Stop Loss**



It will returns **Exit Price** and **Exit Time** when it will hit the stop loss for buy strategy by using Entry time, Exit time, Option type, Streike, Stop Loss Price and OPTION DATA



- Dataframe should be **OPTION DATA**

- Entry Time should be in a string and **HH:MM:SS**

- Exit Time should be in a string and **HH:MM:SS**

- Option type (CE/PE) should be string (Default Value = CE)

- Strike should be a string

- Stop Loss Price should be float 



**Import Package**

    

    from trade_trails.trade_trails import OptionData



**Syntax**



    StopLoss(self, dataframe, entry_time, exit_time, option_type, strike, stoploss_price).buy_stop_loss()





**Example-**

- Input:



    df =  Variable **df** should contain a dataframe



    Entry_Time = "09:20:59"



    Exit_Time = "15:20:59"



    Option_Type = "PE/CE"   



    Strike= "31400"



    Stop_Loss_Price = 294.5

   

 **CODE:**

    

    from trade_trails.trade_trails import OptionData



    buy_stop_loss = StopLoss(dataframe=df, entry_time=Entry_Time, exit_time=Exit_Time, option_type=Option_Type, strike=Strike, stoploss_price=Stop_Loss_Price).buy_stop_loss() 

    print(sell_stop_loss)



- **Output :**

       

        [{'PE_exit_time': datetime.time(15, 20, 59), 'PE_exit_price': 200}]





### **File Name**



It will give file name, year and month  format which is stored in the database which you can use for creating path 

- Instrument should be string which contain trading symbol   (Default - "BANKNIFTY")

- Date should be in string (YYYY/MM/DD)



**Import Package**

    

    from trade_trails.trade_trails import FileName



**Syntax**



    FileName(self, date, instrument).filename()







**Example-**

- Input:

    

    Date = "2020/03/01"

    

    Instrument = "NIFTY"

   

 **CODE:**

    

    from trade_trails.trade_trails import FileName



    filename = FileName(date=Date, instrument=Instrument).filename() 

    print(filename)



- **Output :**

       

        {'filename': 'NIFTY_01032020.pkl', 'year': 2020, 'month': 3}]