This script calculates SPX value during off trading hours, including overnight after the afterhours (before the pre hours of trading), based on value of ES1! Script is intended to be used only with ES1! ticker, for now and timeframes up to 120 minutes. It draws a line of ES1! price at NYSE previous day's closing time (4pm NY time) and displays change since that...
My main goal of programming and publishing an indicator is that everyone should have the opportunity to use indicators that do not show false signals or where there is maximum practical use, so I publish this indicator: This script is an advanced variant of the Onset Trend Detector, a technical indicator for trend analysis developed by John F. Ehlers. It is based...
Market internals can be a powerful tool for determining future moves, overall trend health and provide a means of directional confidence. This indicator watches a handful of SPX and US stocks based internals to determine key areas of sentiment changes, the internals monitored are: US Stocks Ticks Call and Put SPX Volume SPX Gamma Dispersion US...
About: A market regime filter is a tool used by traders and investors to identify the current state or "regime" of the market and adjust their investment strategies accordingly. This can involve identifying trends in market behavior, such as bullish or bearish trends, and using that information to make decisions about which assets to buy or sell. Market regime...
The default Average Directional Index (ADX) helps traders determine the strength of a trend, not its actual direction. The Clean ADX helps traders determine the strength of a trend on a longer time, and the possible direction on different timeframes. The bidirectional Breakout Volume determines both directions of breakout or breakdown volume. When volume is high...
A modification of Economic Calendar Events: FOMC, CPI, and more written by jdehorty . Please send all tips his way as he is maintaining the underlying data for the Calendar and the original concept. List of changes: Optimized code, will only run once on initialization now(No random line in middle of screen on bar change) Legend - Added short names ...
Long/short strategy that identifies extreme readings on the rsi as a *momentum signal*, unlike most RSI strategies the script will look to buy or sell the first pullback in the direction of the extreme RSI reading. Enters positions on the first pullback to the 5ema(low)/ 5ema(high) and exits at rolling 12 bar high/ low. The rolling high/ low feature means that if...
Do you have a difficult time remembering high-impact news events throughout the trading week? Now there is an indicator that allows the user to put labels directly on their charts at specific times in the future so news events won’t sneak up on the user. Description The “High Impact News” TradingView indicator by Infinity Trading gives the user complete...
he Asian Session Range is an indicator that draws a box around the Asian session range which runs from 20.00 pm to 02.00 am EST. It then provides lines that extend into the London and New York sessions that identify the high, low and mid-range of the Asian session. The indicator is designed to be used on the 15 minute timeframe, although it does work on any...
This indicator uses bands to show the trend of other bands. The middle bands are used to show the price trend and the other bands are for the middle bands. The Spike and Plunge bands can also act as a sort of "Bollinger Bands" for middle bands, though not exactly. ----- HOW TO USE IT ----- Zoom out in the 30 minute chart. Use 15 minute chart to pinpoint your...
This indicator shows more reliable overbought & oversold levels buy combing 3 different level-indicators (i.e., indicators showing overbought/oversold levels). A median is created by adjoining two of them and then it is assisted by a third one. This reduces noise in calculating entries when using level indicators. Note: The extra indicator shown is "Bands Bands...
This indicator uses a simple time series forecasting method derived from the similarity between recent prices and similar/dissimilar historical prices. We named this method "ECHO". This method originally assumes that future prices can be estimated from a historical series of observations that are most similar to the most recent price variations. This similarity...
█ Overview Breakout Probability is a valuable indicator that calculates the probability of a new high or low and displays it as a level with its percentage. The probability of a new high and low is backtested, and the results are shown in a table— a simple way to understand the next candle's likelihood of a new high or low. In addition, the indicator displays...
The Master LTCBTC Network Value Model takes the following 6 network values for Litecoin. It compares them to Bitcoin's network values to determine a "fair" value based on Litecoin's network usage compared to Bitcoin's. Please apply on an LTCBTC chart. Use Black Background to view. This also includes an average of the 6 network metrics and is colored white with a...
The Master Litecoin Network Value Model takes the following 6 network values for Litecoin. It compares them to Bitcoin's network values to determine a "fair" value based on Litecoin's network usage compared to Bitcoin's. Please apply on an LTCUSD chart This also includes an average of the 6 network metrics and is colored white with a slightly large line width....
This indicator shows how much will the price need to go to fill its Average Daily Range based on the last 5 days (before today). 5-day ADR is used in concepts by ICT, Poltoratskiy and number of others. Generally speaking, we would like to enter when there is a lot of room for price movement. Outer lines are a full expansion. If the price moves only upside from...
This is my quality of life indicator for forex trading using the methods and concepts of ICT. The idea is to automate marking up important price levels and times of the day instead of doing it manually every day. Killzones Marks the most volatile times of the day on the chart, during which the intraday high/low usually takes place. Particularly impactful...
Description: kNN is a very robust and simple method for data classification and prediction. It is very effective if the training data is large. However, it is distinguished by difficulty at determining its main parameter, K (a number of nearest neighbors), beforehand. The computation cost is also quite high because we need to compute distance of each instance to...