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Stochastic Triple-Timeframe [AlgoPrime]

Stochastic · Multi-Timeframe · Momentum

Built by AlgoPrime

Stochastic Triple-Timeframe [AlgoPrime]

What it does

Stochastic Triple-Timeframe places three momentum readings in one panel so you can compare a short-term swing with its broader context. The default H4, H1, and M15 combination shows when momentum aligns across timeframes and when a faster reading moves against the slower one. Shared oscillator controls and selectable intervals let you adapt the view to your analysis process.


How to Trade with Stochastic Triple-Timeframe?

  1. Higher-timeframe reading: use the slowest oscillator to establish the broader momentum context.

  2. Faster readings: compare the middle and lower intervals to see whether a short-term move aligns with that context or represents a pause or pullback.

  3. Extreme readings: interpret overbought and oversold alongside price structure; momentum can remain elevated or depressed through a sustained trend.


Stochastic Triple-Timeframe Settings

  1. %K Length: 14.

  2. %K smoothk: 1; %D Length: 3.

  3. 1st/2nd/3rd timeframe: defaults 240, 60, and 15 minutes.


Frequently Asked Questions

Does overbought mean I should sell?

Not necessarily. Trending markets can remain overbought; read the oscillator alongside price structure.

Can higher-timeframe values change before the candle closes?

Yes. Readings from an unfinished higher-timeframe candle can change as new data arrives.

How do I access Stochastic Triple-Timeframe?

Request access from AlgoPrime and provide your TradingView username. Once permission is granted, open the corresponding script and add it to your chart.


Request TradingView Access

View Stochastic Triple-Timeframe [AlgoPrime] on TradingView

How you get it

  1. Claim it in the Tools Kit

    Sign in (or create an account) and add it to your Tools Kit in one tap.

  2. Add your TradingView username

    Access is granted to your username and the indicator shows up in TradingView under Invite-only scripts.

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Trading involves substantial risk of loss and is not suitable for every investor. Past performance does not guarantee future results. Backtested results are hypothetical, not live trading.

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