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ReadableTimeframeAlerts
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Explore Supply & Demand Price Action ToolkitFixes the "what timeframe is this?" problem.
Pine's timeframe.period gives you raw values like "60", "240", "1D", "3M" — accurate, but not something a normal user can read at a glance. If your alert says "Zone formed on 360," most people have no idea that 360 means the 6-hour timeframe.
This library converts that raw string into a proper readable label: "60" becomes "1 Hour", "240" becomes "4 Hours", "1D" becomes "Daily", "3M" becomes "3 Months", and so on — covering minutes, hours, days, weeks, months, seconds, and ticks.
I built this after running into the exact issue in my own — a user kept seeing numbers like 360 in their alerts and couldn't tell what timeframe it referred to. This library is what fixed it, and I'm sharing it so anyone facing the same confusion can drop it into their own script.
Usage:
import AfnanTAjuddin/ReadableTimeframeAlerts/1 as tf
alert("Zone formed on " + tf.f_tf_label(timeframe.period))
One line, and your alert messages, labels, or tables show a timeframe users actually understand instead of a raw number.
Found an edge case it doesn't handle correctly? Drop a comment and I'll take a look.
Pine's timeframe.period gives you raw values like "60", "240", "1D", "3M" — accurate, but not something a normal user can read at a glance. If your alert says "Zone formed on 360," most people have no idea that 360 means the 6-hour timeframe.
This library converts that raw string into a proper readable label: "60" becomes "1 Hour", "240" becomes "4 Hours", "1D" becomes "Daily", "3M" becomes "3 Months", and so on — covering minutes, hours, days, weeks, months, seconds, and ticks.
I built this after running into the exact issue in my own — a user kept seeing numbers like 360 in their alerts and couldn't tell what timeframe it referred to. This library is what fixed it, and I'm sharing it so anyone facing the same confusion can drop it into their own script.
Usage:
import AfnanTAjuddin/ReadableTimeframeAlerts/1 as tf
alert("Zone formed on " + tf.f_tf_label(timeframe.period))
One line, and your alert messages, labels, or tables show a timeframe users actually understand instead of a raw number.
Found an edge case it doesn't handle correctly? Drop a comment and I'll take a look.
Notas de Lançamento
v2Updated:
f_tf_label(tf)
Converts a TradingView timeframe string into a readable label.
Parameters:
tf (simple string): Timeframe string such as "60", "240", "D", "1D", "3M", etc.
Library Updated
Fixed an issue where D, W, and M could show as NaN Days/Weeks/Months.
The library now supports both timeframe.period and input.timeframe values, including D/1D, W/1W, and M/1M, with clean, readable timeframe labels.
Notas de Lançamento
v3Library Updated 🚀
Now supports both timeframe.period and input.timeframe() values, including Chart, D/1D, W/1W, and M/1M.
Fixed the NaN timeframe issue and improved Chart handling — when Chart is selected, it now shows the actual chart timeframe in a readable format.
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Aviso legal
As informações e publicações não se destinam a ser, e não constituem, conselhos ou recomendações financeiras, de investimento, comerciais ou de outro tipo fornecidos ou endossados pela TradingView. Leia mais nos Termos de Uso.
Access Demand and Supply Zone Pro indicator at:
tradingview.com/scripts/marketplace/AfnanTAjuddin/
Stay updated on Telegram:
t.me/MarketUp2Date
Join our WhatsApp channel:
whatsapp.com/channel/0029Va6ByyH0LKZCc4Az4x0u
tradingview.com/scripts/marketplace/AfnanTAjuddin/
Stay updated on Telegram:
t.me/MarketUp2Date
Join our WhatsApp channel:
whatsapp.com/channel/0029Va6ByyH0LKZCc4Az4x0u
Aviso legal
As informações e publicações não se destinam a ser, e não constituem, conselhos ou recomendações financeiras, de investimento, comerciais ou de outro tipo fornecidos ou endossados pela TradingView. Leia mais nos Termos de Uso.