Library "EC_2024_Q1_EN" output2024() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2024() Returns the list of event names during the...
Library "EC_2023_Q4_SP" output2023() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2023() Returns the list of event names during the...
Library "EC_2023_Q3_SP" output2023() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2023() Returns the list of event names during the...
Library "EC_2023_Q2_SP" output2023() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2023() Returns the list of event names during the...
Library "EC_2023_Q1_SP" output2023() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2023() Returns the list of event names during the...
Library "EC_2023_Q4_EN" output2023() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2023() Returns the list of event names during the...
Library "EC_2023_Q3_EN" output2023() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2023() Returns the list of event names during the...
Library "EC_2023_Q2_EN" output2023() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2023() Returns the list of event names during the...
Library "EC_2023_Q1_EN" output2023() Returns the list of events during the period. Returns: array: (week1,week2, ... week_n) week_n= ;;; ... Where: is expressed as date + characteristics: YYYY,MM,DD,hh,mm,ss,x,y,z x impact in numbers y event name in numbers z currency in numbers name2023() Returns the list of event names during the...
This script creates an indicator that displays the volume of each interval along with two Exponential Moving Averages (EMAs). Here's how the code works: Interval Length and EMA Lengths: Users can specify the length of each interval in candles and the lengths of two EMAs (EMA 1 and EMA 2) using input parameters. Calculating EMAs: The script calculates two EMAs...
🌟📊 Introducing the Net Buying/Selling Flows Toolkit by AlgoAlpha 📈🚀 🔍 Explore the intricate dynamics of market movements with the Net Buying/Selling Flows Toolkit designed for precision and effectiveness in visualizing money inflows and outflows and their impact on asset prices. 🔀 Multiple Display Modes : Choose from "Flow Comparison", "Net Flow", or...
🔵 Introduction "The Forex Trading Sessions" highlight the active periods across different markets where significant trading volume and influence on the forex market are evident. The primary trading sessions globally include the "Asian Session," "London Session," and "New York Session." A "Kill Zone" refers to a segment within a session characterized by high...
Description: The "Previous and Premarket High/Low" indicator is designed to help traders identify key levels during the premarket, postmarket, and regular trading sessions. It highlights the highest and lowest prices during the premarket session and the previous trading day, providing critical levels for intraday trading strategies. Features: Customizable...
The Seasonality Widget tool allows users to easily visualize seasonal trends from various data sources. Users can select different levels of granularity as well as different statistics to express seasonal trends. 🔶 USAGE Seasonality allows us to observe general trends occurring at regular intervals. These intervals can be user-selected from the...
The Moving Average Cross Heatmap Created by Technicator , visualizes the crossing distances between multiple moving averages using a heat map style color coding. The main purpose of this visualization is to help identify potential trend changes or trading opportunities by looking at where the moving averages cross over each other. Key Features: Can plot up...
Indicator for New York session that splits Morning, Lunch and Afternoon part of the session. Works on Time Frames of 30m and below.
Oscillator Suite is a indicator designed to revolutionize your trading strategy. Developed by kikfraben, this innovative tool aggregates eleven powerful oscillators into one intuitive interface, providing you with a comprehensive view of market sentiment like never before. Originality and Innovation: Unlike traditional indicators that focus on single aspects...
This Pine Script™ indicator, Bulls And Bears , aims to provide traders with potential entry points by analyzing market conditions. Here's how it works: Calculation of Maximum and Minimum Values: The script calculates the highest and lowest values based on the high, open, close, and low prices of the asset. Relative Strength Index (RSI) Condition: It evaluates...