Library "MarketHolidays"
The MarketHolidays library compiles market holidays (including historical special market closures) into arrays, which can then be utilized in TradingView indicators and strategies to account for non-trading days. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing...
Library "TimeFormattingLibrary"
Time formatting functions: formating functions to make timestrings more human readable friendly (for both fixed time and time-elapsed).
Also functions for last and first instance in month of day of week input.
Also a function for identifying bank holiday Mondays.
timeFormatFxn(showDayOfWeek, showDayOfMonth, showMonth,...
Library "chrono_utils"
📝 Description
Collection of objects and common functions that are related to datetime windows session days and time ranges. The main purpose of this library is to handle time-related functionality and make it easy to reason about a future bar and see if it is part of a predefined user session and/or inside a datetime window. All existing...
Library "HighRiskTradingTime"
Utilities for time range labeling
openTime()
timeMinInDay(t, timezone)
Convert given time to minutes of day
Parameters:
t (int) : Time
timezone (string) : Timezone of the input h:m
@return Minutes of day
All exported functions args should be typified
timeMinInDayManual(h, m)
Convert given hour and minute to...
Library "holidays_2020to2025"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "holidays_2015to2020"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "holidays_2010to2015"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "holidays_2005to2010"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "holidays_2000to2005"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "holidays_1990to2000"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "holidays_1980to1990"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "holidays_1970to1980"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "holidays_1962to1970"
This dataset is part of my "MarketHolidays" library. The datasets were split into different libraries to overcome compiling limitations, streamline the process of removing specific time frames if not needed, and to enhance code execution speed. The timestamps are generated using a custom Python script that employs the...
Library "CalendarCad"
This library provides date and time data of the important events on CAD. Data source is csv exported from www.fxstreet.com and transformed into perfered format by C# script.
HighImpactNews2015To2023()
CAD high impact news date and time from 2015 to 2023
Library "CalendarEur"
This library provides date and time data of the important events on EUR. Data source is csv exported from www.fxstreet.com and transformed into perfered format by C# script.
HighImpactNews2015To2019()
EUR high impact news date and time from 2015 to 2019
HighImpactNews2020To2023()
EUR high impact news date and time from 2020 to 2023
Library "CalendarGbp"
This library provides date and time data of the important events on GBP. Data source is csv exported from www.fxstreet.com and transformed into perfered format by C# script.
HighImpactNews2015To2019()
GBP high impact news date and time from 2015 to 2019
HighImpactNews2020To2023()
GBP high impact news date and time from 2020 to 2023
Library "CalendarJpy"
This library provides date and time data of the important events on JPY. Data source is csv exported from www.fxstreet.com and transformed into perfered format by C# script.
HighImpactNews2015To2023()
JPY high impact news date and time from 2015 to 2023
Library "CalendarUsd"
This library provides date and time data of the important events on USD. Data source is csv exported from www.fxstreet.com and transformed into perfered format by C# script.
HighImpactNews2015To2019()
USD high impact news date and time from 2015 to 2019
HighImpactNews2020To2023()
USD high impact news date and time from 2020 to 2023
