trade-trails 0.0.2

This Library is only For Trade Trails Company

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==0.0.1

Package Import

This import package is for installing all the package

from trade_trails import *

Functions

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

• Future Close Price

• Call Price

• Put Price

• Nearest Base Price

• Best Of Three

• Sell Stop Loss

• Buy Stop Loss

• 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 import FileName

Syntax

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

Example-

• Input:

  Date = "2020-03-01"

  Instrument = "NIFTY"

CODE:

from trade_trails import FileName



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

print(filename)

• Output :

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