⭕️Innovative trading indicator that utilizes a k-NN-inspired algorithmic approach alongside traditional Exponential Moving Averages (EMAs) for more nuanced analysis. While the algorithm doesn't actually employ machine learning techniques, it mimics the logic of the k-Nearest Neighbors (k-NN) methodology. The script takes into account the closest 'k' distances...
The Dynamic Point of Control (POC) indicator provides traders and analysts with insightful information about price levels, volume distribution, and sentiment within a specified historical range. Instant Updates : POC recalculates with every new bar, keeping you ahead of the game. Market Bias : Assess market sentiment through bullish volume share. Customization...
Hey everyone, Coming back with my EMA 9/21 indicator. My original one was removed a long time ago because I didn't really realize that there were already plenty of similar indicators (my bad!) but this one is my unique, Steversteves edition haha. About the Indicator: Essentially, it just combines the 2 only EMA's I ever really use (the 9 and 21) with an ATR...
Geometric Moving Average (SMA): What it is: GMA represents a weighted average of prices over a period of time, giving more weight to new data. How to use: Like other types of moving averages, the EMA can help identify trends. When the closing price is above GMA, it may indicate an uptrend, and when it is lower, it may indicate a downtrend.
Our Adaptive Trend Indicator is an advanced trading indicator using price and time series analysis to adapt to market trends. It calculates a weighted average of the median price and twice-smoothed average price, then applies a linear regression over twice the user-defined period, generating a trend line. This trend line represents the prevailing market direction...
█ Overview The AI Moving Average indicator is a trading tool that uses an AI-based K-nearest neighbors (KNN) algorithm to analyze and interpret patterns in price data. It combines the logic of a traditional moving average with artificial intelligence, creating an adaptive and robust indicator that can identify strong trends and key market levels. █ How...
█ Introduction This is my second version of the L&S Volatility Index, hence the name "Refurbished". The first version can be found at this link: The reason I released a separate version is because I rewrote the source code from scratch with the aim of both improving the indicator and staying as close as possible to the original concept. I feel that the first...
The Volume-Weighted Kaufman's Adaptive Moving Average (VW-KAMA) is a technical indicator that combines the Volume-Weighted Moving Average (VWMA) and the Kaufman's Adaptive Moving Average (KAMA) to create a more responsive and adaptable moving average. Advantages: Volume-Weighted: It takes into account the volume of trades, giving more weight to periods with...
This EMA uses a higher time sampled method instead of using security to gather higher timeframe data. Its quite fast and worked well with the timeframes prescribed, up to 8hrs, after 8hrs, the formatting gets more complicated and i probably wouldn't use it anyway. You can use this as a guide to avoid security and even f_security with this method. NOTE: This...
Indicator: Z-Score Weighted Moving Averages Another way of calculating moving average This indicator calculates two types of weighted moving averages (WMAs) based on z-scores and inverse z-scores. The indicator's purpose is to provide traders with a unique perspective on price movements by assigning different weights to data points based on their deviations...
"Moving Average Continuity," is designed to compare the position of two Moving Averages (MAs) across multiple timeframes. The user can select three timeframes and determine the length and type of both a fast and slow moving average. The indicator will display a small table in a user selected location. This table helps traders quickly determine if, for their...
Three horizontal lines are drawn on the chart to represent session prices. These prices are calculated based on the user-specified session: "FirstHour Session High" represents the highest price reached during the firsthour session. "FirstHour Session Open" represents the opening price of the firsthour session "FirstHour Session Low" represents the lowest price...
The "White Noise" indicator is designed to visualize the dispersion of price movements around a moving average, providing insights into market noise and potential trend changes. It highlights periods of increased volatility or noise compared to the underlying trend. Code Explanation: Inputs: mlen: Input for the length of the noise calculation. hlen: Input...
ToolKit: First Impressions for Securities; (like crime scene investigators) 🧐 Our first job is to understand "What did happen here?" (historically, like Price Ranges or Price Performances) 🤔 Secondly, we try to figure out "where are we now?" (like common indicators or Moving Averages) 🤔 Then "What was the chain of events?" (macro, local, fundamentals, shorts,...
This indicator highlights points where the MACD's Signal and Simple Moving Average of Histogram cross as entry points. By incorporating the Simple Moving Average of the Histogram, it aims to avoid false entries during MACD and Signal crosses when volatility is low. However, since it employs the Simple Moving Average of the Histogram, the appearance of entry...
The profitability and uniqueness of a trading strategy depend on various factors including market conditions, risk management, and the strategy's ability to capitalize on price movements. I'll describe the strategy provided and highlight its potential benefits and differences compared to other strategies: Strategy Overview: The provided strategy combines three...
HighLowBox+220MAs This is a sample script of libHTF to use HTF values without request.security(). import nazomobile/libHTFwoRS/1 HTF candles are calculated internally using 'GMT+3' from current TF candles by libHTF . To calcurate Higher TF candles, please display many past bars at first. The advantage and disadvantage is that the data can be generated at the...
Within the ALMA calculation, the Gaussian function is applied to each price data point within the specified window. The idea is to give more weight to data points that are closer to the center and reduce the weight for points that are farther away. The strategy calculates and compares two different Rate of Change (ROC) indicators: one based on the Arnaud...