Support Board
Date/Time: Fri, 31 Jan 2025 19:01:35 +0000
Post From: Set fixed time period for displayed study independent of chart display time period
[2019-05-18 04:34:05] |
User376291 - Posts: 1 |
I've spent hours searching and I can't figure this out. TL;DR: how can I set my SMA study to always calculate using daily values independent of the selected chart bar period? Presently, chart 1 is set to daily bar period and charts 2, 3, 4 all copy the major studies (incl. SMA) from chart 1. If I change chart 1 to weekly bars, it obviously changes all other linked studies. This is because the SMAs are based on "main chart" values (which is chart 1), and when I change the chart bar period on chart 1, the other studies on chart 2, 3, 4 change according to whatever chart bar period I select for chart 1. Logically, this makes sense, but I always want the SMA studies to be calculated based on daily values. The four SMA studies from chart 1 are displayed on charts 2, 3, 4 by using the study/price overlay based on chart 1 (four entries study/price entries, one for each of the SMAs). Even when looking at chart 1, I may change the bar period to weekly or monthly to make some analysis, but I always want the SMA to be based on a daily value. 1. How can I peg/fix the underlying data used for calculating SMA to the daily chart bar period, independent of whatever chart bar period is selected for viewing on a chart window? Should I have a separate chart window that *always* displays the daily time frame and use this as a base to calculate all other fixed studies I want to have? 2. Related: is there a way to add one SMA study with four time periods subgraphs? Or was I correct in adding four SMAs with one time period each? PS: The more I use SC, the more I like it (and the less I want to smash my keyboard). It really shows me that I need to be familiar with all the "hidden" data and variables involved behind the scenes in calculating trading indicators, rather than just blindly point-and-clicking based on some "auto" study from another platform's trading algorithm. Steep learning curve, but it's going to make for more intelligent trading, I think. Thanks! :) Date Time Of Last Edit: 2019-05-18 04:36:31
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