Fɪʙᴏɴᴀᴄᴄɪ Exᴛᴇɴᴛɪᴏɴ / Rᴇᴛʀᴀᴄᴍᴇɴᴛ / Pɪᴠᴏᴛ Pᴏɪɴᴛꜱ This study combines various Fibonacci concepts into one, and some basic volume and volatility indications █ Pɪᴠᴏᴛ Pᴏɪɴᴛꜱ — is a technical indicator that is used to determine the levels at which price may face support or resistance. The Pivot Points indicator consists of a pivot point (PP) level and several...
Volume clusters created from candlestick volumes. See also "Poor man's volume profile" . The code is generated using a template. To change the settings, you may need to regenerate the code. The code has a link to the repository with the template.
I was reading about Fibonacci Clusters on investopedia (www.investopedia.com) and couldn't find a script for it on tradingveiw. Apparently some people use it successfully but I found it a little chaotic. This script will mark the retracements in a window's length, and you can set this for six windows. This script isn't very pretty because it doesn't seem obviously...
EXPERIMENTAL: Fibonacci rate levels based on price advance/decline, can be used to make visualizations of fib clusters or for cycles.
Description: A Function that returns cluster centers for given data (X,Y) vector points. Inputs: _X: Array containing x data points.¹ _Y: Array containing y data points.¹ _number_of_clusters: number of clusters. Note: ¹: _X and _Y size must match. Outputs: _centers_x: Array containing x data points. _centers_y: Array...
Library "SignalProcessingClusteringKMeans" K-Means Clustering Method. nearest(point_x, point_y, centers_x, centers_y) finds the nearest center to a point and returns its distance and center index. Parameters: point_x : float, x coordinate of point. point_y : float, y coordinate of point. centers_x : float array, x coordinates of cluster centers. ...
SMA and EMA endings to identify support and resistance with a good chart overview. Unfortunately the scaling of TradingView in intraday charts is not good.