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The cyclic smoothed RSI MTF indicator is an enhancement of the RSI , adding zero-lag smoothing, adaptive oversold/overbought bands and period color highlighting from higher timeframe to filter signals.
Providing the following advanced features:
using the current dominant cycle length as input for the indicator to ensure more accurate change in trends,
additional smoothing without introducing lag and maintaining clear sharp turns for signal generation,
adaptive upper and lower bands to avoid whipsaw trades and adapt the indicator to trending/cyclic conditions,
using higher time-frame csRSI oversold/overbought conditions to automatically highlight time windows with green/red backgrounds on the indicator panel for signal filtering and/or alert rules,
can be used to trigger alerts on your key symbols to get informed when a red/green windows are reached.
The following common problems with standard indicators are solved by this indicator:
First, normal indicators introduce a lot of false signals due to their noisy signal line. Second, to compensate for the noise, one would normally try to add some smoothing. But this only results in adding more delay to the indicator, which makes it almost useless. Third, oscillators contain static threshold levels to define oversold/overbought conditions. However, the market is not static and changes between trending and cycling periods. In trending periods, these static oversold/overbought levels are useless ore will trigger too much whipsaw trades. Finally, indicators don't take their state from other timeframes into account to filter signals.
All four problems described above are solved by the developed adaptive cyclic RSI with embedded MTF period highlighting.
Examples
S&P500 EMini Futures - csRSI 2H chart / 1D filter example signals
S&P E-Mini Futures 2h chart with daily higher time-frame filtering period for the csRSI, showing the standard RSI in the lower panel for signal comparison, signals from the csRSI are marked on the price chart
Bitcoin BTC /USD - csRSI 2H chart / 1D filter example signals
Bitcoin BTC /USD 2h chart with daily higher time-frame filtering period for the csRSI, signals marked
EUR/USD Forex - csRSI 20min chart / 2h filter example signals
EUR/USD 20min chart with 2H higher time-frame filtering period for the csRSI, signals marked
Info:
All three examples are setup with the basic standard settings and no additional parameter adjustments. The placed arrows on the price/indicator panel and the projection price areas have been added manually to visualize the signals for an discretionary trading approach. They are derived based on standard technical indicator oscillator readings (signal turn above/below bands). Due to the nature of the indicator (ultra-smooth, sharp curves, dynamic bands), these signals are easy to spot, and will help to avoid whipsaw trades in volatile conditions.
Settings & Parameter
The Inputs section allows you to select the time frame for the indicator signals. We recommend keeping the indicator time-frame according to your chart time frame ("Same as chart"). The cycle length allows to improve the signals by entering the dominant cycle length of the analyzed dataset. This parameter is optional if the current dominant cycle is not known. In that case, leave it at 20. The dominant cycle length can even improve the indicator signal generation. The examples above have not been optimized by using the dominant cycle length and just used the standard setting of 20.
The MTF CYCLE FILTER area is used to set the time-frame used as filter to plot the colored indicator background in red and green areas when the higher time-frame indicator is above (red) or below (green) the dynamic bands. These indicate the period of time with high probability to look for signals on the main indicator line.
The MTF Resolution parameter input is important for generating the highlighted red/green areas on the indicator panel. You must enter a higher time-frame than your indicator time-frame in order to get the reliable highlighting. We recommend the following combinations of trading time-frame and filter time-frame resolutions:
Chart Timeframe | MTF Indicator Highlighting Resolution
------------------------------------------------------------------------
20 min | 2 h
2 h | 1 d
You can enter the current dominant cycle length on the chosen higher time-frame resolution to even further optimize the indicator accuracy in the field "MTF CYCLE FILTER - Cycle Length".
The Style sections allows to active/de-active individual plots. The standard setting disables the higher time-frame csRSI indicator which is only used to indicate the colored areas. If required, you can also enable the MTF indicator and adaptive bands to be plotted in the same indicator panel. The values shown in the style section also indicate which values are available for individual alert generation.
Automatic Signals & Alerts
It is possible to create your own automatic signals with the csRSI MTF indicator using the TradingView alert function. Click on the three dots "More" beside the indicator name label and select "Add Alert on csRSI ..." from the context menu. For example, if you want to receive an alert when the high probability periods (red/green highlighted areas) have been reached for a symbol without manually watching the indicator panel, you can set up a custom alert. The csRSI indicator provides the raw values necessary to set up your alarm conditions. Set the "CSRSI MTF" as the value for the "Out of Channel" condition and select the "HigBand MTF" and "LowBand MTF" indicator values as the upper and lower limit parameters in the alarm's dialog box. Once you have set up this alarm, you will not need to monitor your charts manually. The TradingView alert will inform you as soon as an important time zone is reached. These are the situations when you would open the chart and watch for trigger signals on the indicator line. If you set up this alert as an email, you can even focus on other things and let the csRSI MTF highlighter condition alert you when you should pay attention to the trading chart.
Usage & Trade Signals
Classic rules apply as with every technical oscillator. In addition use this indicator to identify the following conditions:
Indicator turns above/below the adaptive upper and lower bands (expected trend reversals)
Indicator crosses below upper band / crossed above lower band (start of trend reversal)
Indicator crosses above upper band / crossed below lower band (trend continuation/confirmation)
Divergence between price / indicator indicate strong signal confidence
Hidden divergences between price/indicator indicate string signal confidence
After strong price movements, wait for the second signal confirmed by a divergence
Use the mentioned conditions in the highlighted red/green periods indicated by the MTF settings
Purpose & Disclaimer
This indicator is not designed for use as an automated trading strategy. This is an improved technical indicator using the dominant cycle to provide its advanced features. The basic applications of technical analysis for using oscillators apply. The script is intended for use in discretionary trading and can be used as a part of automated systems. Indicator signal failures will occur as you should expect with every technical indicator. If you are not sure if this indicator might help your trading style, please try and check our open source public version which will give you basic understanding upfront.
Basic open-source public version
This indicator is an advanced version of our public available open-source cyclic smoothed RSI indicator named "RSI cyclic smoothed v2". The advanced invite-only version provides fully automatic time frame highlighting by using a cyclically smoothed RSI from a higher time frame to indicate time frames with high probability signals. These high probability windows are highlighted when the indicator from the higher time frame is in dynamic overbought or oversold territory. You will find the basic open-source public version here below for your own review:
How to get access
Please check the "authors instructions" section for further details. Cycle Spectrum Analyzer Cycle Spectrum Indicator — Short Description
This indicator computes a visual Fourier cycle spectrum from the input price data to reveal the market’s dominant cyclical behaviour. The price series is first detrended using a Hodrick–Prescott filter, after which a specialized Fourier analysis variant extracts the cycle components.
The resulting spectrum displays peaks that represent the dominant cycles present in the data, where each peak’s cycle length and amplitude indicate the strength and duration of the underlying rhythm. The most significant peaks are ranked, highlighting the top cycles currently driving market movement. Each detected cycle also includes a phase value, describing the cycle’s position at the most recent bar (e.g., topping, bottoming, rising, falling).
The indicator can be used to:
Identify the top 3 dominant cycles with their length and phase.
Analyze the current market state by interpreting these phases.
Feed the dominant cycle lengths—often half the primary cycle—into other technical indicators for improved parameter tuning.
Project cycles forward to estimate upcoming turning points and anticipate potential trend shifts.
Additional Explanation of the included visual example image
Left Area – The Theoretical “Perfect Cycle”
The left part of the illustration presents a theoretical, perfectly smooth sine-wave cycle. This serves as a reference model to explain the core cycle parameters:
Cycle Length – The full wavelength of one complete oscillation (from trough to trough or peak to peak).
Phase – The current position within that cycle, expressed both numerically and as an easy-to-read text label such as Bottom_Departure, Uptrend_Neutral, Approaching Top, or Top_Departure.
The diagram highlights visually how a cycle progresses through bottoming, rising, peaking, and declining phases, matching the phase descriptions used in the indicator’s output. This helps translate raw phase angles into intuitive market-state labels (e.g., recovery, boom, topping, recession).
Right Area – The Price Series Used for Analysis
On the right, the actual price chart (e.g., Dow Jones Industrial Average) is displayed. This is the dataset from which the Fourier cycle spectrum is computed.
At the bottom of this chart section, a purple bar indicates the amount of historical data included in the cycle analysis. Because Fourier-based methods depend strongly on sample size, this visual cue shows how far back the indicator collected and processed data before generating the spectrum.
Bottom Area – The Cycle Spectrum Output Pane
The lower pane contains the Cycle Spectrum Analyzer output:
It displays the cycle spectrum at the most recent bar, where each green peak corresponds to a detected cycle.
Peak height = amplitude (strength) of the cycle
Peak position (horizontal) = dominant cycle length
The largest peaks represent the strongest cycles currently present in the detrended price series.
Next to the spectrum, a ranked table lists the Top 3 dominant cycles, showing:
Rank (1 = strongest)
Cycle Length (in bars)
Phase Description (interpreting where that cycle is right now)
This concise summary allows users to quickly understand:
Which cycles are strongest,
How long they are,
And whether they are currently bottoming, topping, rising, or falling.
How the Indicator Works & How It Can Be Adjusted
Calculation Only at the Last Bar
The indicator performs its full Fourier-based cycle decomposition exclusively on the most recent bar. This ensures that the spectrum always reflects the current market state without repeatedly recalculating historical spectra. The result is an efficient, real-time snapshot of the dominant cycles influencing the price at the latest point in time.
Works on Any Symbol and Any Timeframe
Because the analysis operates directly on the provided price series, the indicator is compatible with all markets and all timeframes—stocks, indices, forex, crypto, futures, and intraday charts alike.
The detected cycle lengths always refer to the selected chart’s bar interval (e.g., 240-bar cycle on a 1h chart ≈ 240 hours; same cycle on a daily chart ≈ 240 days).
Adjustable Historical Lookback (Default: 1100 Bars)
The accuracy of cycle detection depends on the amount of historical data used. The indicator provides a parameter allowing you to specify how many past bars should be included in the Fourier calculation.
Standard value: 1100 bars
Increasing the lookback allows detection of longer cycles, but may dilute short-term characteristics.
Decreasing it focuses on shorter and medium-term cycles, increasing responsiveness but reducing visibility of long-duration rhythms.
By tuning this lookback parameter and choosing an appropriate timeframe, traders can adapt the cycle spectrum to match their analytical style—short-term, medium-term, or long-term cycle interpretation. RSI cyclic smoothed Pro Cyclic Smoothed Relative Strength Indicator - Pro Version
The cyclic smoothed RSI indicator is an enhancement of the classic RSI, adding
additional smoothing according to the market vibration,
adaptive upper and lower bands according to the cyclic memory and
using the current dominant cycle length as input for the indicator.
The cRSI is used like a standard indicator. The chart highlights trading signals where the signal line crosses above or below the adaptive lower/upper bands. It is much more responsive to market moves than the basic RSI.
The indicator uses the dominant cycle as input to optimize signal, smoothing and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Chapter 4 "Fine tuning technical indicators" of the book "Decoding the Hidden Market Rhythm, Part 1" available at your favorite book store.
Info: Pro Version
This is the actively maintained and continuously enhanced edition of my free, open-source indicator “RSI Cyclic Smoothed v2” which was recognized with a TradingView Editors’ Pick. The Pro Version will remain fully up to date with the latest Pine Script standards and will receive ongoing refinements and feature improvements, all while preserving the core logic and intent of the original tool. The legacy version will continue to be available for code review and educational purposes, but it will no longer receive updates. The legacy open-source version is here
Pro Features V1:
1) Leveraging multi-timeframe analysis
Indicator can be used on one chart by using different time frames at the same time. Read more on TradingView here .
2) Scoring feature added for scanning and filtering
This indicator now provides four distinct scoring states for both bullish and bearish conditions, making it fully compatible with the TradingView Screener .
Each score reflects a specific market phase based on RSI behavior, slope, and crossover signals.
Bullish States (Positive Scores)
+1 – Bull Exhaustion: Price is above the upper threshold and still rising (upsloping).
+2 – Bull Fatigue: Price is above the upper threshold but losing momentum (downsloping).
+3 – Bull Exit: A fresh downward crossover has occurred.
+4 – Recent Bull Exit: A downward crossover occurred within the recent lookback window.
Bearish States (Negative Scores)
–1 – Bear Exhaustion: Price is below the lower threshold and still declining (downsloping).
–2 – Bear Fatigue: Price is below the lower threshold but starting to turn upward (upsloping).
–3 – Bear Exit: A fresh upward crossover has occurred.
–4 – Recent Bear Exit: An upward crossover occurred within the recent lookback window.
The scoring states are shown in the indicator status panel when plotting the indicator on the chart. For a Screener run, use a generic cycle length setting.
How to determine the current active cycle length?
You can use the following additional tools to fine-tune the current dominant cycle length:
1. The advanced dyanmic Cycle Spectrum Scanner
2. The free Detremded Market Rhythm Oscillator CSI Cycle Swing Momentum Adaptive Ultra-Smooth Momentum (Cycle-Swing Indicator – CSI)
The Cycle-Swing Indicator (CSI) is an advanced, adaptive momentum oscillator designed to extract clean, reliable signals from market data by focusing on the swing of the dominant market cycle rather than raw momentum. By identifying and aligning with the current dominant cycle, the CSI produces a momentum curve that is exceptionally smooth, responsive, and context-aware.
Key Advantages
The CSI offers several improvements over traditional momentum-based indicators:
Ultra-smooth signal line without sacrificing responsiveness
Zero-lag behavior, enabling timely entries and exits
Pronounced turning-point precision, enhancing signal clarity
Adaptive to real market cycles, automatically adjusting to changing conditions
Reliable deviation and divergence detection, even in noisy environments
Why Standard Indicators Fall Short
Conventional oscillators often struggle in real-world market conditions:
Excessive noise leads to frequent false signals.
Added smoothing reduces noise but introduces significant lag, delaying actionable insights.
Fixed-length parameters make indicators highly sensitive to user settings—you never truly know the "right" length.
The CSI solves all these challenges through its adaptive cyclic algorithm, which automatically aligns itself with the market’s dominant cycle—no manual tuning required.
Practical Example
In the example chart, the CSI highlights clear turning points and deviations with far less noise than the standard momentum indicator, demonstrating its superior clarity and responsiveness.
How to Use
The CSI is fully adaptive and requires no parameters. Simply apply it to any symbol and timeframe—the indicator automatically detects the dominant cycle and produces an ultra-smooth, cycle-aligned momentum curve.
Included features:
Adaptive upper and lower bands identifying extreme conditions
Automatic divergence detection (toggle on/off)
Works on any timeframe and any asset
Adaptive length - no input parameter required
How to Read the Indicator
The CSI functions similarly to a traditional momentum oscillator but with enhanced adaptive context:
Look for divergences between price and the CSI signal line — powerful early warnings of weakening trends or impending shifts.
Note on Divergence Signals:
The divergence markers displayed on the chart are generated using embedded pivot-based detection. Because pivots must be confirmed by price action, divergence signals can only be plotted after a pivot forms. For real-time monitoring on the latest bar, users should watch for early-forming divergences as they develop, since confirmed pivot-based divergences will always appear with a slight delay. Script parameters are available for precise adjustment of pivot detection behaviour.
Info: Legacy vs. Pro Version
This is the actively maintained and continuously enhanced edition of my free, open-source indicator “Cycle Swing Momentum”. The Pro Version will remain fully up to date with the latest Pine Script standards and will receive ongoing refinements and feature improvements, all while preserving the core logic and intent of the original tool. The legacy version will continue to be available for code review and educational purposes, but it will no longer receive updates. The legacy open-source version is always available in the public TV indicator repository. US Market Breadth Rhythm Oscillator This tool is a market-breadth oscillator built on the core concepts of Fosback’s Relative Breadth , enhanced with proprietary calculations, cyclic smoothing, and adaptive rhythm-based bands. Instead of reacting to price, the oscillator measures the internal “calmness” or “loudness” of the U.S. stock market by analyzing the relative imbalance between advancing and declining issues.
High oscillator readings indicate a calm, quiet internal market—a state where daily breadth fluctuations are small and orderly. These calm conditions frequently appear near market tops.
Low oscillator readings reflect a loud, volatile internal market—a period with strong breadth imbalances in either direction. Such “noisy” conditions are typically associated with market lows.
Usage and interpretation
The oscillator also features dynamic cyclic bands that breathe with market rhythm. These shifting upper and lower bands help highlight potential turning points:
A drop down through the upper band may suggest a developing market top.
A rise up through the lower band may signal a positive shift in market dynamics that often precedes an upswing.
Overall, this tool helps visually identify calm/top conditions, loud/bottom conditions, and possible shifts in market trend by combining enhanced Fosback breadth analysis with adaptive cyclic calculations.
It can be used to visualize potential market extremes and market exhaustions on US main indices. So pick a main US stock market index as price chart and add the market breadth rhythm based on the selected market internals.
However, it is not meant as swing trading system on its own. It is an oscillator which allows to identify extreme market internals which are often in alignment with major changes in trend of the price index.
Examples:
The top key image shows the indicator on a 2h Dow Jones Index price chart during the upswing phase from April to December 2025. The following image showcases the indicator for a longer period from 2022 to 2025 on a daily chart of the Dow Jones Index:
Parameter:
Select the market breadth sources that should be used for the calculation. You can choose between the following breadth sources:
Dow Jones
Nasdaq
New York Stock Exchange
Composite
The Composite selection will create all 3 series and create a merged composite US Breadth Rhythm indicator as result.
The arrows on the price chart visualize directly on the price chart when the indicator crosses below or above the dynamic bands.
Recommended usage:
Open an Dow Jones, Nasdaq, Russel 2000 or New York Stock Exchange Index. Use 1 Day, 4h or 2h timeframe. Add the indicator and choose the market breadth for oscillator readings.
Note:
This oscillator is calculated entirely from market breadth metrics, not from the chart’s price. You can select NASDAQ, Dow Jones, or NYSE breadth (advancers/decliners) as the internal data source.
