CSI Cycle Swing MomentumAdaptive 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.
インジケーターとストラテジー
Pivot Hourly x EMA RibbonHourly Fibonacci Pivot + EMA is an intraday analysis tool that combines hourly Fibonacci-based pivot levels with exponential moving averages (EMAs). It is designed to help traders visualize potential intraday support/resistance zones and short-term trend direction on any timeframe.
The indicator calculates pivot levels from hourly price data and then projects Fibonacci extensions and retracements around a central pivot. These levels can be used to see where price has previously reacted and where future reactions may occur. The EMAs provide an additional layer of context by highlighting the prevailing short-term trend and momentum.
Key features:
Hourly Fibonacci pivot levels (support and resistance zones derived from hourly ranges)
Multiple Fibonacci bands to show potential reaction areas above and below the central pivot
One or more configurable EMAs to show short-term trend direction and dynamic support/resistance
Works on all symbols and intraday timeframes supported by TradingView
Typical use:
Monitor how price behaves when approaching or rejecting Fibonacci pivot levels
Look for confluence between pivot zones and EMA direction or EMA bounces
Use the levels as potential areas of interest for trade planning, stop placement, or partial profit zones within your own trading system
Also have "C" Label it's mean Candle for example C1 is First Candle of the source timeframe, if the source timeframe set to 4 Hour it will be the first 4h candle, the C2 is the second 4h candle of the day.
This script is intended purely as a technical analysis tool and does not generate buy/sell signals or guarantee any particular outcome. It is not financial advice. Always combine it with your own analysis, risk management, and trading plan before making any trading decisions.
VPOCS ZScoreAn indicator Showing Candle POC's.
Added a Zscore Filter to filter out the High volume candle's.
I like to use at Key Support and resistance Area's to see Absorbtion and Offside positions only on High volume Candles ( The high volume candle part is Key! ). Thoose candles Generally indicate forced participants opening or closing positions, or "Breakout traders entering" positions. When i see a Hi-Volume at S/R levels and price is rejecting ( trading away from the POC ) ill take that as a trigger for a trade.
- Dynamic Support and resistance.
- Show Offside and and Trapped traders
You can tweak the Zscore nominator for Less of more Frequent hits.
Expected Move ProExpected Move is the amount that an asset is predicted to increase or decrease from its current price, based on the current levels of volatility.
This Expected Move Pro indicator uses a maximum likelihood estimation for Asymmetric Laplace distribution parameters, and is an upgrade from the regular Expected Move indicator that uses a Normal Distribution. The use of the Asymmetric Laplace distribution ensures a probability range more accurate than the more common expected moves based on a normal distribution assumption for returns. Asymmetric Laplace distribution takes in account fatter tails and volatility clustering during low volatility. So it will be thinner in the body (eg: <70% range) and fatter in the tails (>95% range) which fits the stock return better.
When we compare the more peaked asymmetric laplace to the bell curve shaped normal distribution we can see that the asymmetric laplace fits the empirical data (blue histogram) significantly better. The fit is improved in both the body (middle peaked part) as well as in the fatter tails (more of extreme occurrences far from the center)
EXPECTED MOVE PROBABILITY:
In the expected move settings, the user can specify the range probability they wish to display. In a normal distribution a 1 standard deviation range corresponds to a range within which just under 70% of observations fall. So to specify a 70% probability range one would set 15% probability for both the upper and lower range.
For the more extreme ranges a two tail function is used so the user can only specify one probability. When 5% probability is specified the range will cover 95% and on each side of the range the probability of an occurence that extreme will be 2.5%. In the above Image we can see two tail probabilities specified at 5% and 1%, covering the 95% and 99% ranges respectively.
The indicator also allows for multi timeframe usecases. One can request a daily or perhaps even weekly expected move on an hourly chart, like we see below.
SETTINGS:
Resolution: Specify the timeframe and if you want to use the multi timeframe functionality.
Real Time : Do you wish the expected move to adjust with the current open price or do you wish it to be a forecast based on the yesterdays close. If latter, keep it OFF.
Sample Size : Lookback or the number of bars we sample in the calculation.
Optimization : Keep it on for speed purposes, only slightly higher precision will be achieved without optimization.
Probabilities: One tail - left and right, specify probability for each side of the range, two tail - single probability split in half for each side of the range
Center : Displays the central line which is the central tendency of a distribution / the median
Hide History : Hides expected moves and only the expected move for the current bar remains.
Plot Style Settings : One can adjust the line styles, box styles as well as width and transparency.
C3 Pattern Trigger-DhirenFawxThis indicator is a highly streamlined and immediate signal generator based on a specific 3-Candle (3C) pattern used to quickly identify potential demand and supply exhaustion points.
Unlike traditional zone-based indicators that wait for a price breakout after the pattern forms, the 3C Pattern Trigger signals the moment the pattern completes, offering an early entry/alert opportunity.
Connect - DhirenFawx
Multi-MA Flow [longshorti]Multi-MA Flow
A versatile Moving Average indicator designed to visualize Trend Flow and identify key dynamic support/resistance levels. It features up to five customizable MAs and highlights the zone between the fast and slow MAs for a clear display of trend strength and direction.
🌟 Key Features
Dynamic Trend Flow (MA Flow Zone): The indicator colors the zone between the Fast MA (MA 2) and the Slow MA (MA 5). The fill visually represents trend direction and its Momentum (Divergence/Convergence) .
Trend Momentum Visualization: The fill color intensity and contrast signal trend strength. For example, Vibrant Fill indicates MA divergence, while Muted Fill signals convergence.
Flexible Moving Average System: Supports up to five (5) customizable MA lines (MA 1 through MA 5), each with independent period and visibility settings.
Supported MA Types: The indicator allows changing the type for all MAs to: EMA, SMA, WMA, or RMA .
Visual Notifications: Includes optional 'R' Retest Labels for finding potential entries on MA 2 and MA Value Labels showing current MA prices on the last bar.
Full Customizability: The entire color scheme, periods, and visibility of all elements are fully adjustable to suit any chart theme.
⚙️ Detailed Customization & Control
General Settings: Selects the Moving Average Type ( EMA, SMA, WMA, RMA ) for all MA lines.
MA Lines (5x): You can independently control Show/Hide , Period , Color , and Width for each of the five MA lines.
Flow Zone Fill:
The Enable MA2/MA5 Fill option allows you to toggle the flow zone visualization on or off.
You also define the Bullish/Bearish Fill Colors .
Labels & Retest: Control the visibility of MA Value Labels and the unique 'R' Retest Markers on MA 2.
Global Color: An option to override all line colors with a single selected Global Color .
💡 How to Use
Trend Direction: Observe the placement of MA 2 relative to MA 5.
Momentum: Watch the color and width of the fill. Widening lines with bright fill color indicates strong momentum.
Entry/Exit Points: Use the 'R' labels to locate potential retests of the fast MA in the direction of the dominant Flow Zone.
CSI Cycle Swing Momentum Indicator ProAdaptive 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.
MTF Dashboard Table - Sachin ThakareOne Dashboard, Complete Market View!
By - Sachin Thakare (India, Mumbai)
MTF HUD Indicator - All-in-One Market Dashboard
📊 Basic Information
Indicator Name: MTF HUD Table - Bias Column
Created By: Sachin Thakare
Version: Pine Script v5
Type: Multi-Timeframe Heads-Up Display (HUD)
Category: Strategy/Utility Tool
🎯 What This Indicator Does
This is a comprehensive Multi-Timeframe Market Dashboard that displays key technical indicators across 8 different timeframes (3min to Monthly) in a single, easy-to-read table format. It helps traders quickly assess market bias and make informed decisions.
✨ Key Features
📈 Multi-Timeframe Analysis
8 Timeframes: 3m, 5m, 15m, 1H, 4H, Daily, Weekly, Monthly
Real-time Updates: All timeframes update simultaneously
Color-coded Signals: Instant visual feedback
🔢 Technical Indicators Included
Price Change & % Change - Immediate price movement
VWAP - Volume Weighted Average Price
EMA 9/21 - Exponential Moving Average crossover
200 MA - Long-term trend indicator
SuperTrend 10/3 - Trend-following indicator
RSI 9 - Momentum oscillator
MACD 8/21/5 - Moving Average Convergence Divergence
ADX 7/7 - Average Directional Index
Alligator - Bill Williams' trend indicator
Stochastic 5/3/3 - Overbought/Oversold levels
ATR 10 - Average True Range (volatility)
PH/PL - Previous Day High/Low position
🎨 Visual Design
Color Psychology:
🟢 Green: Strong Bullish
🟩 Light Green: Bullish
🔴 Red: Strong Bearish
🟥 Light Red: Bearish
⚪ Gray: Neutral
Customizable Position: Top/Bottom, Left/Right, Center
Clean Table Format: Professional HUD-style display
⚙️ Smart Features
Bias Column: Automatic market bias calculation
Score-based System: 11 indicators contribute to bias score
Customizable Thresholds: Adjust bull/bear levels
Multi-timeframe Security: Accurate timeframe calculations
🚀 How to Use
For Beginners:
Install the indicator on any chart
Look at the BIAS column for overall market direction
Check consistency across timeframes
Stronger signals when multiple timeframes agree
For Advanced Traders:
Identify confluence - When multiple indicators align
Timeframe alignment - Look for agreements across timeframes
Divergence spotting - When timeframes show conflicting signals
Entry/Exit points - Use with price action confirmation
Trading Strategies:
Trend Following: Follow the dominant bias across higher timeframes
Mean Reversion: Look for extreme readings in oscillator columns
Breakout Trading: Use PH/PL and ATR columns
Swing Trading: Focus on 4H and Daily timeframes
⚙️ Customization Settings
Position Settings:
Choose from 5 display positions
Adjust to your preferred chart layout
Indicator Parameters:
Adjust all indicator lengths and periods
Modify OB/OS levels for RSI and Stochastic
Change MA types (SMA/EMA) for 200 MA
Bias Thresholds:
Strong Bull Threshold: 8 (default)
Bull Threshold: 3 (default)
Bear Threshold: -3 (default)
Strong Bear Threshold: -8 (default)
💡 Pro Tips
Start with Higher Timeframes - Daily and Weekly first
Look for Alignment - Best trades when 3+ timeframes agree
Watch the BIAS Column - Quick market sentiment check
Combine with Price Action - Use support/resistance with signals
Risk Management - Never trade on indicator alone
⚠️ Important Notes
Not a Standalone System: Use with other analysis methods
Lagging Indicators: Most components are trend-following
Market Conditions: Works best in trending markets
Customize for Your Style: Adjust parameters for your trading style
🔄 Updates & Support
The indicator is regularly updated based on user feedback and market changes. For suggestions or issues, please leave a comment on the TradingView script page.
Perfect For: Day Traders, Swing Traders, Position Traders, Market Analysts, and anyone needing quick multi-timeframe analysis.
Best Results: When combined with fundamental analysis, risk management, and proper trading psychology.
ICT | SMC [Sky Eye] 體驗版12/15體驗版12/15
DC: discord.gg/8kE8XwmErc
輔助 SMC 位子畫線 幫助你加速學習
只需要知道這個位子是甚麼在去加強研究 ICT / SMC 即可
想學習更多可以到DC一起學習
DC: discord.gg/8kE8XwmErc
This tool helps you draw lines to indicate SMC positions, accelerating your learning.
You only need to know what each position represents before focusing your research on ICT/SMC.
To learn more, join us at DC.
Sky Eye AI 體驗版至12/15體驗版至12/15
DC: discord.gg/8kE8XwmErc
輔助 規劃進出場 位子畫線 幫助你加速學習
只需要知道這個位子是甚麼在去加強研究 技術分析 即可
想學習更多可以到DC一起學習
DC: discord.gg/8kE8XwmErc
Assisted with entry and exit point planning and position drawing to accelerate your learning.
You only need to know what this position represents before you can further study and analyze technical indicators.
To learn more, you can join us at DC
Fluxion Oscillator [Kodexius]Fluxion Oscillator is a multi dimensional momentum and flow toolkit designed to highlight exhaustion, reversals and confluence in a very compact way. The script combines a normalized trend oscillator, volume sensitive money movement, a volatility gauge and a visual confluence gauge that all sit in a single pane.
Instead of focusing on a single signal, Fluxion looks at the interaction between price, momentum and volume. The core oscillator tracks the relationship between a fast and a slow response of price, then rescales it into a stable 0 to 100 band. A companion flow line tracks how actively price is being supported or pressured by volume. On top of that, a volatility based gauge and an overbought or oversold reversal layer help highlight when moves are stretched and vulnerable.
The result is an environment where you can quickly see:
-When momentum is expanding or fading
-When price swings are supported or rejected by volume
-Where local tops or bottoms can be forming through divergence
-How strong the current push is in the context of recent volatility
-A compact gauge that visually ranks the current state from “minimum” to “maximum” pressure
It is not a trading system by itself, but a framework that makes it much easier to build rules and confluence around your own strategy.
⭐ Features
Normalized Fluxion Oscillator
Core oscillator built from the difference between a fast and a slow smoothing of the chosen source.
Automatically normalized into a bounded range so it behaves consistently across symbols and timeframes.
Dual line structure: the main line and a signal line, making crossovers easy to read.
Dynamic fill that shifts color depending on whether the main line is above or below the signal line.
Bullish and Bearish Crosses
Visual circles highlighting when the main oscillator crosses its signal line upward or downward.
Bullish crosses emphasize potential momentum ignition after downside pressure.
Bearish crosses emphasize potential cooling of momentum after upside pressure.
Money Flow Layer
Separate line that blends price and volume over a configurable lookback.
Smoothed to reduce noise and plotted around a central balance level.
Colored region that clearly shows whether buying pressure or selling pressure dominates.
Divergence Detection Suite
Automatic detection of regular bullish and regular bearish divergences between price and the normalized oscillator.
Optional hidden bullish and hidden bearish divergences for continuation setups.
Uses pivot based swing points so the lines attach to meaningful highs and lows instead of random wiggles.
All divergence types can be toggled independently so you can keep the chart as clean as you like.
Volatility and Positioning Gauge
A compact gauge that evaluates where the current price sits relative to a volume weighted average and its recent typical fluctuation.
Colors shift as price moves from neutral to stretched zones in either direction.
Background highlighting above and below the oscillator scale to reflect when this gauge is in an extreme region.
Helps quickly see whether you are buying into strength after a large extension or stepping in near value.
Reversal Signals With Volume Confirmation
A higher time sensitivity reversal metric based on a 0 to 100 scale of recent price changes.
Signals are only highlighted when there is also a short burst in volume, so quiet market noise is reduced.
Bearish reversal markers appear in the upper region, bullish markers in the lower region, giving a clear visual “top” and “bottom” feel.
Confluence Gauge
Right side grid composed of horizontal bands, from “Min” at the bottom to “Max” at the top.
Each band reflects a segment of a smoothed, range based momentum reading that tracks how far price has advanced within its recent 0 to 100 window.
The currently active band is highlighted in green for bullish momentum or red for bearish momentum, depending on the relationship between fast and slow lines within that range.
A pointer and labels make it obvious where the current environment sits relative to the full range of possible conditions.
Divergence Core
Users can define the pivot length to control how strict and how far apart swing points should be.
High Customization
Adjustable lookback lengths for the core oscillator, signal smoothing and normalization.
Separate controls for money flow length and smoothing.
Optional toggles for each divergence type so you can focus only on the structures you care about.
⭐ Calculations
This section explains conceptually how Fluxion works without exposing the full underlying formula details. The goal is to help you understand what each component represents and how it behaves, so you can use it more effectively.
Fluxion Oscillator Core
The foundation of the indicator is the difference between two smoothed versions of the selected price source. One reacts more quickly to new price information, the other reacts more slowly.
When the fast curve is above the slow curve, the oscillator becomes positive, signaling that short term action is advancing faster than the background trend. When the fast curve is below the slow curve, it becomes negative, indicating short term weakness.
This raw difference is then normalized over a rolling window. The highest and lowest values in that window are used to rescale the oscillator into a 0 to 100 band. This produces a stable, comparable scale across markets and timeframes.
A secondary smoothing of the oscillator creates the signal line. The interaction between the main line and this signal is used to color the fill region and locate cross events.
Money Flow Construction
The money flow line is based on how price closes within its candle range combined with the traded volume. Up candles with strong closes and high volume contribute positively, while down candles with weak closes and high volume contribute negatively.
These contributions are aggregated over a configurable period to create a net “pressure” measure. The result represents how aggressively participants have been positioning over that window, not just whether price went up or down.
The line is then smoothed to reduce micro noise and plotted around a central balance level, here set at 50. Values above the balance zone suggest net positive pressure, values below suggest net negative pressure.
An additional internal threshold is used to detect when this pressure stays on one side of the balance area long enough to be considered an “overflow,” which helps detect sustained accumulation or distribution phases.
Volatility and Positioning Gauge
The gauge computes a volume weighted average price over a user defined period. This gives more weight to prices at which more volume was traded.
It then evaluates how far the current price is from that volume weighted center, relative to the typical price variation around it. This creates a standardized distance measure that tells you how stretched price is from its recent fair zone.
When the distance becomes significantly positive, the market is considered extended upward. When it becomes significantly negative, it is extended downward. Intermediate thresholds are used to create “warning” and “extreme” zones.
Background fills at the top and bottom of the panel change based on this standardized distance, visually indicating when the market is moving into overextended territory that often precedes mean reversion or at least slowing of the move.
Reversal Metric With Volume Filter
A separate 0 to 100 style momentum score is calculated over a mid length window. It evaluates recent gains and losses in price to produce a relative strength measure of the current move.
Upper and lower thresholds on this score are used to mark areas where price action is historically stretched to the upside or downside.
This alone would generate many signals, so a volume based filter is added. Reversal markers are only displayed when this momentum score is in an extreme area and volume has shown a short term pickup.
This combination gives more weight to reversals that occur during active trading, where trapped positions and forced unwinds are more likely.
Divergence Engine
The divergence logic scans for swing highs and swing lows in the normalized oscillator and in price. Swing points are defined by requiring a certain number of bars on both sides of the pivot, which you can configure via the divergence length input.
For regular bullish divergence:
Price makes a lower low, indicating apparent weakness.
The oscillator makes a higher low over the same general region, indicating that internal momentum is actually improving.
If both conditions are met within a valid bar distance, a bullish divergence line is drawn from the prior oscillator pivot to the new one.
For regular bearish divergence:
Price makes a higher high, suggesting continued strength.
The oscillator makes a lower high, showing that underlying momentum is waning.
The engine checks that both pivot structures appear within an allowed time frame, then draws a bearish line between the oscillator peaks.
Hidden divergences are handled in a similar way, except the direction of price and oscillator swings is reversed, which makes them suitable for trend continuation contexts instead of reversal contexts.
Confluence Gauge
The grid on the right converts a smoothed, range based momentum reading into ten equal bands. This momentum reading looks at where the current value sits between the lowest and highest readings of a recent window, then rescales it into a 0 to 100 scale.
That 0 to 100 value is divided into ten slices of ten points each. For example, 0 to 10 is the lowest band, 90 to 100 is the top band.
The algorithm then checks whether the fast component of this reading is above or below its slower companion. If fast is above slow, it is treated as bullish pressure and the active band is colored in green. If fast is below slow, it is treated as bearish pressure and the active band is colored in red.
A pointer label is placed alongside the active band and “Max” and “Min” markers are drawn above and below the grid. This creates a compact visual where you can quickly gauge if the current state is closer to the lower boundary of recent conditions or to the upper boundary, along with its directional bias.
Normalization And Scaling
Several internal components use rolling highest and lowest values to transform raw readings into normalized percentages. This includes the main oscillator and the range based momentum used by the confluence gauge.
The key idea is to express conditions relative to what has recently been possible on that instrument and timeframe instead of using absolute fixed thresholds. This makes Fluxion adaptive and more robust when switching between assets with different volatility profiles.
SPX Breadth – Stocks Above 200-day SMA//@version=6
indicator("SPX Breadth – Stocks Above 200-day SMA",
overlay = false,
max_lines_count = 500,
max_labels_count = 500)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Inputs
group_source = "Source"
breadthSymbol = input.symbol("SPXA200R", "Breadth symbol", group = group_source)
breadthTf = input.timeframe("", "Timeframe (blank = chart)", group = group_source)
group_params = "Parameters"
totalStocks = input.int(500, "Total stocks in index", minval = 1, group = group_params)
smoothingLen = input.int(10, "SMA length", minval = 1, group = group_params)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Breadth series (symbol assumed to be percent 0–100)
string tf = breadthTf == "" ? timeframe.period : breadthTf
float rawPct = request.security(breadthSymbol, tf, close) // 0–100 %
float breadthN = rawPct / 100.0 * totalStocks // convert to count
float breadthSma = ta.sma(breadthN, smoothingLen)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Regime levels (0–20 %, 20–40 %, 40–60 %, 60–80 %, 80–100 %)
float lvl0 = 0.0
float lvl20 = totalStocks * 0.20
float lvl40 = totalStocks * 0.40
float lvl60 = totalStocks * 0.60
float lvl80 = totalStocks * 0.80
float lvl100 = totalStocks * 1.0
p0 = plot(lvl0, "0%", color = color.new(color.black, 100))
p20 = plot(lvl20, "20%", color = color.new(color.red, 0))
p40 = plot(lvl40, "40%", color = color.new(color.orange, 0))
p60 = plot(lvl60, "60%", color = color.new(color.yellow, 0))
p80 = plot(lvl80, "80%", color = color.new(color.green, 0))
p100 = plot(lvl100, "100%", color = color.new(color.green, 100))
// Colored zones
fill(p0, p20, color = color.new(color.maroon, 80)) // very oversold
fill(p20, p40, color = color.new(color.red, 80)) // oversold
fill(p40, p60, color = color.new(color.gold, 80)) // neutral
fill(p60, p80, color = color.new(color.green, 80)) // bullish
fill(p80, p100, color = color.new(color.teal, 80)) // very strong
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Plots
plot(breadthN, "Stocks above 200-day", color = color.orange, linewidth = 2)
plot(breadthSma, "Breadth SMA", color = color.white, linewidth = 2)
// Optional label showing live value
var label infoLabel = na
if barstate.islast
label.delete(infoLabel)
string txt = "Breadth: " +
str.tostring(breadthN, format.mintick) + " / " +
str.tostring(totalStocks) + " (" +
str.tostring(rawPct, format.mintick) + "%)"
infoLabel := label.new(bar_index, breadthN, txt,
style = label.style_label_left,
color = color.new(color.white, 20),
textcolor = color.black)
Square of Nine Levels [RC] Basic📐 Square of Nine Levels Basic— Precision Market Geometry for Dynamic Price Targets
The Square of Nine Levels Basic indicator is a powerful price-projection and level-mapping tool based on W.D. Gann’s legendary Square of Nine mathematical system. This indicator transforms market prices into geometric rotations and harmonic levels—revealing price zones where markets historically accelerate, pause, or reverse with uncanny accuracy.
Unlike static Fibonacci tools, Square of Nine levels expand radially around a chosen base price, creating concentric price cycles that align with vibrational mathematics and cyclical market resonance. When price interacts with these rotational degrees, traders often witness structural reactions that are invisible to standard indicators.
🧭 What This Indicator Does
Once a trader inputs (or clicks) a Base Price, the indicator automatically:
✔️ Computes Square of Nine projections in upward and downward directions
✔️ Plots concentric price circles (levels of expansion) (Basic Version 1 Level Only)
✔️ Highlights rotational harmonics and midpoint attractors
✔️ Shows Golden Ratio (0.786 / 0.618 / 0.382 / 0.236) cyclic divisions
✔️ Provides clear visual level markers & labels for analysis
✔️ Adjusts dynamically as price trends evolve
These levels act as mathematical magnets, where price frequently:
Finds hidden support or resistance
Creates fair value rejection zones
Forms breakout thresholds
Completes wave and time cycles
Resonates with prior swing pivots
🔍 Key Features
Feature Benefit
_________________________________________________________________________
Auto Square-of-Nine Level Calculation Zero manual computation—instant geometry
Adjustable Circles & Points Model Gann expansions as per your theory
Golden Ratio & Midpoint Zones Adds confluence for precision entries
Multi-color Cycle Layers Instantly differentiate price cycles
Minimal UI Designed for professional clean charts
🧠 Why the Square of Nine Matters
Gann believed that price does not move randomly—it rotates through degrees, harmonics, and vibrational frequencies. The Square of Nine captures this rotation mathematically:
Price in time equals price in space.
This tool reveals those rotational levels, allowing traders to anticipate when price is likely to pivot or continue—with mathematically predictable targets.
🎯 Best Use-Cases
Identifying major support/resistance levels
Timing cycle inflection points
Swing, positional, and index-level forecasting
If you trade using Gann methods, cycles, harmonics, Square of 9, or astro-geometry, this indicator becomes a foundational levels and projection engine.
🚀 Take Your Charting to the Next Dimension
The Square of Nine Levels Basic is not just a level plotter—it is a market resonance system. Once you understand how price vibrates around these circles, you gain a structural edge that most traders never discover.
Sky Eye Oscillator 中文版 [Sky Eye]DC: discord.gg
輔助 判斷RSI KDJ 量能 幫助你加速學習
只需要知道這個位子是甚麼在去加強研究 技術分析 即可
想學習更多可以到DC一起學習
DC: discord.gg
Assists in judging RSI, KDJ, and volume to help you learn faster.
Just know what this position represents before you can further study technical analysis.
Want to learn more? Join DC for more learning opportunities.
Sky Eye TRADE AI DC: discord.gg
輔助 規劃進出場 位子畫線 幫助你加速學習
只需要知道這個位子是甚麼在去加強研究 技術分析 即可
想學習更多可以到DC一起學習
DC: discord.gg
Assisted with entry and exit point planning and position drawing to accelerate your learning.
You only need to know what this position represents before you can further study and analyze technical indicators.
To learn more, you can join us at DC.
ICT | SMC 工具箱 [Sky Eye]DC: discord.gg
輔助 SMC 位子畫線 幫助你加速學習
只需要知道這個位子是甚麼在去加強研究 ICT / SMC 即可
想學習更多可以到DC一起學習
DC: discord.gg
This tool helps you draw lines to indicate SMC positions, accelerating your learning.
You only need to know what each position represents before focusing your research on ICT/SMC.
To learn more, join us at DC.
CISD Trend Candle - EMA BasedCISD Trend Candle - EMA Based is a custom Pine Script indicator that highlights trend direction based on how many consecutive bars close above or below a 21-period EMA.
🔵 Blue candles: Uptrend confirmed (e.g., 5 bars above EMA)
🔴 Red candles: Downtrend confirmed (e.g., 5 bars below EMA)
⚪ Gray candles: No clear trend
🟠 Orange line: 21-period EMA
Helps visually spot strong trends and avoid false signals in sideways markets.
Grid Percentage Optimizer (V6)Optimizer for an infinity grid. Allows you to determine the optimal percentage for an infinity grid over a specific time range.
Moving Averages (10, 21, 50, 200)Moving Averages including 10, 21, 50 and 200 period. Intended mainly for use on a daily chart, but will work for any period.
Moving Average + Count Candles Number - DiLeViThis indicator can add Moving Averages and candles number within same indicator and can be personalised.
Daily 20/50/100/200 SMA with Auto-Labeling (Multi-Timeframe)This script plots the four most widely used Simple Moving Averages - 20, 50, 100, and 200-period SMAs from the Daily timeframe - directly onto any chart, regardless of the chart’s timeframe. It provides a clean, easy-to-read visual overlay for traders who rely on higher-timeframe moving averages for trend analysis, support and resistance, or confluence.
To improve clarity, the script automatically places floating labels beside the most recent price bar, identifying each SMA by color and period. These labels stay neatly positioned to the right of the chart and update dynamically without cluttering historical bars.
Features
• Plots Daily SMA-20, SMA-50, SMA-100, SMA-200 on any timeframe
• Clean multicolored lines with consistent formatting
• Automatic right-side labels that identify each moving average
• Labels update only on the latest bar - no chart clutter
• Adjustable label offset for perfect placement
• Ideal for trend traders, swing traders, and timeframe confluence strategies
This indicator keeps your chart clean while giving you instant awareness of key daily moving averages that institutions and technical traders watch closely.
Relative Measured Extension (RME)The Relative Measured Extension (RME) indicator is a powerful oscillator that helps traders identify extreme price extensions from a moving average by normalizing historical data on a scale of -100 to +100.
This indicator is inspired by the Deepvue RME indicator and brings its powerful methodology to TradingView with full customization options and additional features.
What Makes RME Unique?
Unlike traditional oscillators, RME dynamically calculates how extended the current price is compared to ALL previous extensions over your chosen lookback period. A reading of +100 means the stock is as far above the moving average as it has EVER been in the lookback window, while -100 indicates the maximum historical extension below the MA.
Key Features
✅ Adaptive Scaling - Automatically normalizes to historical extremes
✅ Multiple MA Types - Choose between SMA, EMA, WMA, or VWMA
✅ Visual Zones - Color-coded overbought (70-100) and oversold (-70 to -100) regions
✅ Info Dashboard - Real-time display of RME value, extension %, MA value, and status
✅ Built-in Alerts - Get notified when entering overbought/oversold zones or crossing zero
✅ Fully Customizable - Adjust all parameters to match your trading style
Recommended Settings
Position Traders:
Lookback Period: 250
MA Length: 50
Use for spotting significant trend changes and correction bottoms
Swing Traders (Option 1):
Lookback Period: 100
MA Length: 20
Faster signals for medium-term swings
Swing Traders (Option 2):
Lookback Period: 50
MA Length: 10
Most responsive for quick trades on strong momentum stocks
How to Interpret
+70 to +100 (Red Zone) - Overbought, potential pullback area
-70 to -100 (Green Zone) - Oversold, potential reversal area
Zero Line Cross - Momentum shift signal
RME at 0 in uptrends - Excellent entry points during pullbacks
Trading Application
Early in Trends: High RME readings can signal strength, though a consolidation may be needed
Late in Trends: Extreme readings may indicate exhaustion
During Corrections: Use on index ETFs (QQQ, SPY) to identify potential bottoms
Pro Tips
Compare current extremes to historical extremes in context
Strong stocks may hold near overbought zones longer
Pullbacks to zero in strong uptrends often provide low-risk entries
Works on all timeframes and instruments (stocks, crypto, forex, commodities)
Credit: Inspired by the Deepvue Relative Measured Extension indicator






















