Mean Absolute Deviation (MAD) is a statistical measure that tells you how spread out or variable a set of data points is. It calculates the average distance of each data point from the mean (average) of the data set. MAD helps you understand how much individual values differ from the average value. It's a way to measure the overall "average distance" of the data...
█ Overview In the evolving landscape of trading and investment, the demand for sophisticated and reliable tools is ever-growing. The AI Trend Navigator is an indicator designed to meet this demand, providing valuable insights into market trends and potential future price movements. The AI Trend Navigator indicator is designed to predict market trends using...
This indicator marks the opening, high, and low of the Globex range in futures (6 PM ET - 9:30 AM ET). In addition, it also will calculate and plot the 1st and 2nd standard deviations above and below the globex range. These levels can be used as support and resistance in the New York session (9:30 AM ET - 4 PM ET). Price often respects the globex range to some...
This Extended Moving Average Library is a sophisticated and comprehensive tool for traders seeking to expand their arsenal of moving averages for more nuanced and detailed technical analysis. The library contains various types of moving averages, each with two versions - one that accepts a simple constant length parameter and another that accepts a series or...
This Normal Distribution Curve is designed to overlay a simple normal distribution curve on top of any TradingView indicator. This curve represents a probability distribution for a given dataset and can be used to gain insights into the likelihood of various data levels occurring within a specified range, providing traders and investors with a clear visualization...
// Purpose: -To show High of Week (HoW) day and Low of week (LoW) day frequencies/percentages for an asset. -To further analyze Day of Week (DoW) tendencies based on averaged data from all various custom weeks. Giving a more reliable measure of DoW tendencies ('Meta Averages'). -To backtest day-of-week tendencies: across all asset history or across custom user...
Note: Numbers in the chart above, particularly volume, are incorrect as I didn't have extra market data at the time of publication. Default settings are set for US markets. (OVERVIEW) This indicator was made specifically for equity markets which have pre-market and after-hours trading, though can be used for any other markets without these sessions, there are...
█ OVERVIEW The indicator analyses the volatility and reports the statistics by the days of the month. █ CONCEPTS The markets move every day. But how does a market move during a month? Here are some ideas to explore: Does the volatility kick in with the start of a new month? Do the markets slow down at the end of the month? Which period of the...
Library "LibrarySupertrend" selective_ma(condition, source, length) Parameters: condition (bool) source (float) length (int) trendUp(source) Parameters: source (float) smoothrng(source, sampling_period, range_mult) Parameters: source (float) sampling_period (simple int) range_mult (float) ...
"Relative Daily Change%" Indicator (RDC) The "Relative Daily Change%" indicator compares a stock's average daily price change percentage over the last 200 days with a chosen index. It plots a colored curve. If the stock's change% is higher than the index, the curve is green, indicating it's doing better. Red means the stock is under-performing. This...
The Idea: I had the idea for this script when I read an article about how assets tend to revert to their long-term average or mean. The concept behind "R2" is based on the assumption that extreme deviations from the average tend to be corrected. For example, if an asset is trading well above its historical average, there is a possibility that the price will return...
Average purchase price This tool calculates the average purchase and sell price and the profit/loss ratio for the selected symbol based on the user's inputs for the purchase and sell prices and the entry and exit amounts. Using Average purchase price with DCA strategy This tool can be used to track the performance of your dollar cost averaging...
Trading effectively requires a range of techniques, experience, and expertise. From technical analysis to market fundamentals, traders must navigate multiple factors, including market sentiment and economic conditions. However, traders often find themselves overwhelmed by market noise, making it challenging to filter out distractions and make informed decisions....
Hello! Introducing a multi-faceted indicator "Liquidation Ranges + Volume Dots" - this indicator replicates the volume dot tools found on various charting platforms and populates a liquidation range on crypto assets! Features Volume/OI dots populated according to user settings Size of volume/OI dots corresponds to degree of abnormality Naked level...
Trend Strategy #2 Indicators: 1. EMA(s) 2. Fibonacci retracement with a mutable lookback period Strategy: 1. Short Only 2. No preset Stop Loss/Take Profit 3. 0.01% commission 4. When in a profit and a closure above the 200ema, the position takes a profit. 5. The position is stopped When a closure over the (0.764) Fibonacci ratio occurs. * NO IMMEDIATE...
High of Day (HoD) & Low of Day (LoD) hourly timings: Statistics. Time of day % likelihood for high and low. //Purpose: To collect stats on the hourly occurrences of HoD and LoD in an asset, to see which times of day price is more likely to form its highest and lowest prices. //How it works: Each day, HoD and LoD are calculated and placed in hourly 'buckets'...
The indicator shows probability of a moving average non reversal at certain moment of day. IMF_Predict line shows the probability of a reversal for the specified period. moving average - period/2 shifted sma of typical price ( (close+high+low)/3 ). Parameters: Number of days - previous days to calculate the probability SMA filter period - chart smoothing...
The "Cumulative Trend" indicator is designed to provide insights into the cumulative price trend while considering volume and volatility. It aims to identify potential shifts in the trend based on the relationship between price changes and these factors. Let's break down the steps involved: In the code, the term "previous" refers to the average of the previous...