Stochastic RSI Trading Strategy

This basic stochastic rsi trading strategy can be used on any time frame and any forex currency pair or asset that you trade. The Stochastic RSI (StochRSI) is an indicator used in technical analysis that ranges between zero and one (or zero and 100 on some charting platforms) and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold.

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The StochRSI oscillator was developed to take advantage of both momentum indicators in order to create a more sensitive indicator that is attuned to a specific security's historical performance rather than a generalized analysis of price change.

The StochRSI was developed by Tushar S. Chande and Stanley Kroll and detailed in their book "The New Technical Trader," first published in 1994. While technical indicators already existed to show overbought and oversold levels, the two developed StochRSI to improve sensitivity and generate a greater number of signals than traditional indicators could do.

The StochRSI deems something to be oversold when the value drops below 0.20, meaning the RSI value is trading at the lower end of its predefined range, and that the short-term direction of the underlying security may be nearing a low a possible move higher. Conversely, a reading above 0.80 suggests the RSI may be reaching extreme highs and could be used to signal a pullback in the underlying security.

Along with identifying overbought/oversold conditions, the StochRSI can be used to identify short-term trends by looking at it in the context of an oscillator with a centerline at 0.50. When the StochRSI is above 0.50, the security may be seen as trending higher and vice versa when it's below 0.50.

The StochRSI should also be used in conjunction with other technical indicators or chart patterns to maximize effectiveness, especially given the high number of signals that it generates.

In addition, non-momentum oscillators like the accumulation distribution line may be particularly helpful because they don't overlap in terms of functionality and provide insights from a different perspective.






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@deeg.7082 : Been trading like this for 2 years and grew my account well above six figures. Of course a few confluence and confirmations...
@just1clickdoteu : Arty, I am a TRDFloor member and subscriber of your channel. I can highly recommend everybody to follow the instructions and this awesome teachers advise! You will become consistent and profitable as long as you keep on learning and practicing on a demo account. Challenge yourself every day again and again and you will succeed! Thanks Arty for all your great videos and the education you provide. You are a life changer! As long as the people follow your strategy! Or Christies, or Brutus'...
@ellydavis2066 : Thanks for the video. I'm a bit confused. You recommend changing the stochastic length from 14 to 8 for time lengths below 15 mins then you change it back to the default setting of 14 but your chart stays set to 5 mins.
@katmonra : Thank you so much for this helpful video! I use expert advisors to trade, however I am simultaneously learning more about trading so that I have more control with my trades in knowing when to make a proper entry and when to exit. Obviously if a currency pair is running in a downtrend and my bot places several buy positions I would want to cancel those orders. Your videos are super helpful! I am confident in my bots, just want to monitor them closely.
@Ali-s110 : RD, would you please please please, teach us, what to be used along with Stochastic RSI so it helps us getting higher win rates.
If possible, please introduce more than 1 indicators along with statistics RSI because we do not have some of those previously introduced indicators in our country trading websites.
The major problem is, when I receive entry signal from stochastic RSI but the next step will be opposite of my wish and it gives exit signal on the next day,

Carbon Based Lifeforms - Stochastic [Album] (2021)

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5. Stochastic Processes I

MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013
View the complete course: http://ocw.mit.edu/18-S096F13
Instructor: Choongbum Lee

*NOTE: Lecture 4 was not recorded.
This lecture introduces stochastic processes, including random walks and Markov chains.

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
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@SeikoVanPaath : Some notable Timestamps
0:00:33 Stochastic Process
0:10:57 (Simple) Random Walk
0:32:43 Markov Chain
0:58:41 Martingale
1:06:47 Stopping time / Optional Stopping Theorem
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@mattiascardecchia799 : Recursive argument at 28:00:

Call p the probability you hit -50 first. There’s a 50% chance you hit -50 before you hit 50, by symmetry. Once you hit 50, the game is reversed, by stationary property.
Hence p = 0.5 + 0.5 * (1 - p), from which p is 1/3.

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