RSI Divergence Indicator with Strength and LabelsHere's a complete Pine Script (version 5) for a TradingView indicator that detects and plots bullish and bearish RSI divergences. This is based on a proven method that tracks price and RSI swings while RSI is in oversold/overbought territories, then checks for mismatched highs/lows within a configurable bar distance.
Osciladores
Fisher (zero-color + simple OB assist)//@version=5
indicator("Fisher (zero-color + simple OB assist)", overlay=false)
// Inputs
length = input.int(10, "Fisher Period", minval=1)
pivotLen = input.int(3, "Structure pivot length (SMC-lite)", minval=1)
showZero = input.bool(true, "Show Zero Line")
colPos = input.color(color.lime, "Color Above 0 (fallback)")
colNeg = input.color(color.red, "Color Below 0 (fallback)")
useOB = input.bool(true, "Color by OB proximity (Demand below = green, Supply above = red)")
showOBMarks = input.bool(true, "Show OB markers")
// Fisher (MT4-style port)
price = (high + low) / 2.0
hh = ta.highest(high, length)
ll = ta.lowest(low, length)
rng = hh - ll
norm = rng != 0 ? (price - ll) / rng : 0.5
var float v = 0.0
var float fish = 0.0
v := 0.33 * 2.0 * (norm - 0.5) + 0.67 * nz(v , 0)
v := math.min(math.max(v, -0.999), 0.999)
fish := 0.5 * math.log((1 + v) / (1 - v)) + 0.5 * nz(fish , 0)
// SMC-lite OB
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float lastSwingHigh = na
var float lastSwingLow = na
if not na(ph)
lastSwingHigh := ph
if not na(pl)
lastSwingLow := pl
bosUp = not na(lastSwingHigh) and close > lastSwingHigh
bosDn = not na(lastSwingLow) and close < lastSwingLow
bearishBar = close < open
bullishBar = close > open
demHigh_new = ta.valuewhen(bearishBar, high, 0)
demLow_new = ta.valuewhen(bearishBar, low, 0)
supHigh_new = ta.valuewhen(bullishBar, high, 0)
supLow_new = ta.valuewhen(bullishBar, low, 0)
// แยกประกาศตัวแปรทีละตัว และใช้ชนิดให้ชัดเจน
var float demHigh = na
var float demLow = na
var float supHigh = na
var float supLow = na
var bool demActive = false
var bool supActive = false
if bosUp and not na(demHigh_new) and not na(demLow_new)
demHigh := demHigh_new
demLow := demLow_new
demActive := true
if bosDn and not na(supHigh_new) and not na(supLow_new)
supHigh := supHigh_new
supLow := supLow_new
supActive := true
// Mitigation (แตะโซน)
if demActive and not na(demHigh) and not na(demLow)
if low <= demHigh
demActive := false
if supActive and not na(supHigh) and not na(supLow)
if high >= supLow
supActive := false
demandBelow = useOB and demActive and not na(demHigh) and demHigh <= close
supplyAbove = useOB and supActive and not na(supLow) and supLow >= close
colDimUp = color.new(colPos, 40)
colDimDown = color.new(colNeg, 40)
barColor = demandBelow ? colPos : supplyAbove ? colNeg : fish > 0 ? colDimUp : colDimDown
// Plots
plot(0, title="Zero", color=showZero ? color.new(color.gray, 70) : color.new(color.gray, 100))
plot(fish, title="Fisher", style=plot.style_columns, color=barColor, linewidth=2)
plotchar(showOBMarks and demandBelow ? fish : na, title="Demand below", char="D", location=location.absolute, color=color.teal, size=size.tiny)
plotchar(showOBMarks and supplyAbove ? fish : na, title="Supply above", char="S", location=location.absolute, color=color.fuchsia, size=size.tiny)
alertcondition(ta.crossover(fish, 0.0), "Fisher Cross Up", "Fisher crosses above 0")
alertcondition(ta.crossunder(fish, 0.0), "Fisher Cross Down", "Fisher crosses below 0")
Full Stochastic (TC2000-style EMA 5,3,3)Full Stochastic (TC2000-style EMA 5,3,3) computes a Full Stochastic oscillator matching TC2000’s settings with Average Type = Exponential.
Raw %K is calculated over K=5, then smoothed by an EMA with Slowing=3 to form the Full %K, and %D is an EMA of Full %K with D=3.
Plots:
%K in black, %D in red, with 80/20 overbought/oversold levels in green.
This setup emphasizes momentum shifts while applying EMA smoothing at both stages to reduce noise and maintain responsiveness. Inputs are adjustable to suit different symbols and timeframes.
Divergence & Volume ThrustThis document provides both user and technical information for the "Divergence & Volume Thrust" (DVT) Pine Script indicator.
Part 1: User Guide
1.1 Introduction
The DVT indicator is an advanced tool designed to automatically identify high-probability trading setups. It works by detecting divergences between price and key momentum oscillators (RSI and MACD).
A divergence is a powerful signal that a trend might be losing strength and a reversal is possible. To filter out weak signals, the DVT indicator includes a Volume Thrust component, which ensures that a divergence is backed by significant market interest before it alerts you.
🐂 Bullish Divergence: Price makes a new low, but the indicator makes a higher low. This suggests selling pressure is weakening.
🐻 Bearish Divergence: Price makes a new high, but the indicator makes a lower high. This suggests buying pressure is weakening.
1.2 Key Features on Your Chart
When you add the indicator to your chart, here's what you will see:
Divergence Lines:
Bullish Lines (Teal): A line will be drawn on your chart connecting two price lows that form a bullish divergence.
Bearish Lines (Red): A line will be drawn connecting two price highs that form a bearish divergence.
Solid lines represent RSI divergences, while dashed lines represent MACD divergences.
Confirmation Labels:
"Bull Div ▲" (Teal Label): This label appears below the candle when a bullish divergence is detected and confirmed by a recent volume spike. This is a high-probability buy signal.
"Bear Div ▼" (Red Label): This label appears above the candle when a bearish divergence is detected and confirmed by a recent volume spike. This is a high-probability sell signal.
Volume Spike Bars (Orange Background):
Any price candle with a faint orange background indicates that the volume during that period was unusually high (exceeding the average volume by a multiplier you can set).
1.3 Settings and Configuration
You can customize the indicator to fit your trading style. Here's what each setting does:
Divergence Pivot Lookback (Left/Right): Controls the sensitivity of swing point detection. Lower numbers find smaller, more frequent divergences. Higher numbers find larger, more significant ones. 5 is a good starting point.
Max Lookback Range for Divergence: How many bars back the script will look for the first part of a divergence pattern. Default is 60.
Indicator Settings (RSI & MACD):
You can toggle RSI and MACD divergences on or off.
Standard length settings for each indicator (e.g., RSI Length 14, MACD 12, 26, 9).
Volume Settings:
Use Volume Confirmation: The most important filter. When checked, labels will only appear if a volume spike occurs near the divergence.
Volume MA Length: The lookback period for calculating average volume.
Volume Spike Multiplier: The core of the "Thrust" filter. A value of 2.0 means volume must be 200% (or 2x) the average to be considered a spike.
Visuals: Customize colors and toggle the confirmation labels on or off.
1.4 Strategy & Best Practices
Confluence is Key: The DVT indicator is powerful, but it should not be used in isolation. Look for its signals at key support and resistance levels, trendlines, or major moving averages for the highest probability setups.
Wait for Confirmation: A confirmed signal (with a label) is much more reliable than an unconfirmed divergence line.
Context Matters: A bullish divergence in a strong downtrend might only lead to a small bounce, not a full reversal. Use the signals in the context of the overall market structure.
Set Alerts: Use the TradingView alert system with this script. Create alerts for "Confirmed Bullish Divergence" and "Confirmed Bearish Divergence" to be notified of setups automatically.
Money Flow | Lyro RSMoney Flow | Lyro RS
The Money Flow is a momentum and volume-driven oscillator designed to highlight market strength, exhaustion, and potential reversal points. By combining smoothed Money Flow Index readings with volatility, momentum, and RVI-based logic, it offers traders a deeper perspective on money inflow/outflow, divergences, and overbought/oversold dynamics.
Key Features
Smoothed Money Flow Line
EMA-smoothed calculation of the MFI for noise reduction.
Clear thresholds for overbought and oversold zones.
Normalized Histogram
Histogram plots show bullish/bearish money flow pressure.
Color-coded cross logic for quick trend assessment.
Relative Volatility Index (RVI) Signals
Detects overbought and oversold conditions using volatility-adjusted RVI.
Plots ▲ and ▼ markers at exhaustion points.
Momentum Strength Gauge
Calculates normalized momentum strength from ROC and volume activity.
Displays percentage scale of current momentum force.
Divergence Detection
Bullish divergence: Price makes lower lows while money flow makes higher lows.
Bearish divergence: Price makes higher highs while money flow makes lower highs.
Plotted as diamond markers on the oscillator.
Signal Dashboard (Table Overlay)
Displays real-time status of Money Flow signals, volatility, and momentum.
Color-coded readouts for instant clarity (Long/Short/Neutral + Momentum Bias).
How It Works
Money Flow Calculation – Applies EMA smoothing to MFI values.
Normalization – Scales oscillator between relative high/low values.
Trend & Signals – Generates bullish/bearish signals based on midline and histogram cross logic.
RVI Integration – Confirms momentum exhaustion with overbought/oversold markers.
Divergences – Identifies hidden market imbalances between price and money flow.
Practical Use
Trend Confirmation – Use midline crossovers with histogram direction for money flow bias.
Overbought/Oversold Reversals – Watch RVI ▲/▼ markers for exhaustion setups.
Momentum Tracking – Monitor momentum percentage to gauge strength of current trend.
Divergence Alerts – Spot early reversal opportunities when money flow diverges from price action.
Customization
Adjust length, smoothing, and thresholds for different markets.
Enable/disable divergence detection as needed.
Personalize visuals and dashboard display for cleaner charts.
⚠️ Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used alongside other methods and proper risk management. The creator is not responsible for financial decisions made using this script.
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator
Version: PineScript™v6
📌 Description
The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength.
Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions.
The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls.
🚀 Points of Innovation
Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering
Dual-sided confidence tracking for both support and resistance levels simultaneously
Sigmoid function processing for enhanced mathematical accuracy in confidence calculations
Real-time institutional defense pattern analysis through complete test cycles
Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA)
Integrated momentum indicators and gradient visualization for enhanced signal clarity
🔧 Core Components
Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes
Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters
Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows
Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles
Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation
🔥 Key Features
Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time
Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view
Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates
Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences
Real-Time Updates: Continuously processes market data to provide current institutional confidence readings
Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation
🎨 Visualization
Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100%
Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels
Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation
Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators
Momentum Indicators: Rate of change visualization for confidence trends
Background Highlights: Extreme confidence level alerts when readings exceed 80%
📖 Usage Guidelines
Auto-Detection Settings
Use Auto-Detection
Default: true
Description: Enables automatic thin liquidity zone identification based on volume and size criteria
Volume Threshold Multiplier
Default: 6.0, Range: 1.0+
Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases
Volume MA Length
Default: 15, Range: 1+
Description: Period for volume moving average baseline calculation, affects volume spike sensitivity
Max Zone Height %
Default: 0.5%, Range: 0.05%+
Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price
Confidence Logic Settings
Test Observation Window
Default: 20 bars, Range: 2+
Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings
Clean Break Threshold
Default: 1.5 ATR, Range: 0.1+
Description: ATR multiple required for zone invalidation, higher values make zones more persistent
Visual Settings
Smoothing Method
Default: EMA, Options: SMA/EMA/WMA/ALMA
Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability
Smoothing Length
Default: 5, Range: 1-50
Description: Period for smoothing calculation, higher values create smoother lines with more lag
✅ Best Use Cases
Trending market analysis where institutional zones provide reliable support/resistance levels
Breakout confirmation by validating zone strength before position entry
Divergence analysis when confidence shifts between support and resistance levels
Risk management through identification of high-confidence institutional backing
Market structure analysis for understanding institutional sentiment changes
⚠️ Limitations
Performs best in liquid markets with clear institutional participation
May produce false signals during low-volume or holiday trading periods
Requires sufficient price history for accurate confidence calculations
Confidence readings can fluctuate rapidly during high-impact news events
Manual fallback zones may not reflect actual institutional activity
💡 What Makes This Unique
Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis
Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels
Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations
Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change
Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity
🔬 How It Works
1. Zone Identification Process:
Scans for high-volume bars that exceed the volume threshold multiplier
Filters bars by maximum zone height percentage to identify thin liquidity conditions
Stores qualified zones with proximity threshold filtering for relevance
2. Confidence Calculation Process:
Monitors price interaction with identified zones during observation windows
Measures volume ratios and adverse excursions during zone tests
Applies sigmoid function processing to normalize raw data into confidence percentiles
3. Real-Time Analysis Process:
Continuously updates confidence readings as new market data becomes available
Tracks institutional defense success rates and zone validation patterns
Provides visual and numerical feedback through the oscillator display
💡 Note:
The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
Radial Basis Kernel RSI for LoopRadial Basis Kernel RSI for Loop
What it is
An RSI-style oscillator that uses a radial basis function (RBF) kernel to compute a similarity-weighted average of gains and losses across many lookback lengths and kernel widths (γ). By averaging dozens of RSI estimates—each built with different parameters—it aims to deliver a smoother, more robust momentum signal that adapts to changing market conditions.
How it works
The script measures up/down price changes from your chosen Source (default: close).
For each combination of RSI length and Gamma (γ) in your ranges, it builds an RSI where recent bars that look most similar (by price behavior) get more weight via an RBF kernel.
It averages all those RSIs into a single value, then smooths it with your selected Moving Average type (SMA, EMA, WMA, HMA, DEMA) and a light regression-based filter for stability.
Inputs you can tune
Min/Max RSI Kernel Length & Step: Range of RSI lookbacks to include in the ensemble (e.g., 20→40 by 1) or (e.g., 30→50 by 1).
Min/Max Gamma & Step: Controls the RBF “width.” Lower γ = broader similarity (smoother); higher γ = more selective (snappier).
Source: Price series to analyze.
Overbought / Oversold levels: Defaults 70 / 30, with a midline at 50. Shaded regions help visualize extremes.
MA Type & Period (Confluence): Final smoothing on the averaged RSI line (e.g., DEMA(44) by default).
Red “OB” labels when the line crosses down from extreme highs (~80) → potential overbought fade/exit areas.
Green “OS” labels when the line crosses up from extreme lows (~20) → potential oversold bounce/entry areas.
How to use it
Treat it like RSI, but expect fewer whipsaws thanks to the ensemble and kernel weighting.
Common approaches:
Look for crosses back inside the bands (e.g., down from >70 or up from <30).
Use the 50 midline for directional bias (above = bullish momentum tilt; below = bearish).
Combine with trend filters (e.g., your chart MA) for higher-probability signals.
Performance note: This is really heavy and depending on how much time your subscription allows you could experience this timing out. Increasing the step size is the easiest way to reduce the load time.
Works on any symbol or timeframe. Like any oscillator, best used alongside price action and risk management rather than in isolation.
Dual Adaptive Movings### Dual Adaptive Movings
By Gurjit Singh
A dual-layer adaptive moving average system that adjusts its responsiveness dynamically using market-derived factors (CMO, RSI, Fractal Roughness, or Stochastic Acceleration). It plots:
* Primary Adaptive MA (MA): Fast, reacts to changes in volatility/momentum.
* Following Adaptive MA (FAMA): A smoother, half-alpha version for trend confirmation.
Instead of fixed smoothing, it adapts dynamically using one of four methods:
* ACMO: Adaptive CMO (momentum)
* ARSI: Adaptive RSI (relative strength)
* FRMA: Fractal Roughness (volatility + fractal dimension)
* ASTA: Adaptive Stochastic Acceleration (%K acceleration)
### ⚙️ Inputs & Options
* Source: Price input (default: close).
* Moving (Type): ACMO, ARSI, FRMA, ASTA.
* MA Length (Primary): Core adaptive window.
* Following (FAMA) Length: Optional; can match MA length.
* Use Wilder’s: Toggles Wilder vs EMA-style smoothing.
* Colors & Fill: Bullish/Bearish tones with transparency control.
### 🔑 How to Use
1. Identify Trend:
* When MA > FAMA → Bullish (fills bullish color).
* When MA < FAMA → Bearish (fills bearish color).
2. Crossovers:
* MA crosses above FAMA → Bullish signal 🐂
* MA crosses below FAMA → Bearish signal 🐻
3. Adaptive Edge:
* Select method (ACMO/ARSI/FRMA/ASTA) depending on whether you want sensitivity to momentum, strength, volatility, or acceleration.
4. Alerts:
* Built-in alerts trigger on crossovers.
### 💡 Tips
* Wilder’s smoothing is gentler than EMA, reducing whipsaws in sideways conditions.
* ACMO and ARSI are best for momentum-driven directional markets, but may false-signal in ranges.
* FRMA and ASTA excels in choppy markets where volatility clusters.
👉 In short: Dual Adaptive Movings adapts moving averages to the market’s own behavior, smoothing noise yet staying responsive. Crossovers mark possible trend shifts, while color fills highlight bias.
RSI Divergence ProjectionRSI Divergence Projection
Go beyond traditional, lagging indicators with this advanced RSI Divergence tool. It not only identifies four types of confirmed RSI divergence but also introduces a unique, forward-looking engine. This engine spots potential divergences as they form on the current candle and then projects the exact price threshold required to validate them.
Our core innovation is the Divergence Projection Line, a clean, clutter-free visualization that extends this calculated price target into the future, providing a clear and actionable level for your trading decisions.
The Core Logic: Understanding RSI Divergence
For those new to the concept, RSI Divergence is a powerful tool used to spot potential market reversals or continuations. It occurs when the price of an asset is moving in the opposite direction of the Relative Strength Index (RSI). This indicator automatically detects and plots four key types:
Regular Bullish Divergence: Price prints a lower low, but the RSI prints a higher low. This often signals that bearish momentum is fading and a potential reversal to the upside is near.
Hidden Bullish Divergence: Price prints a higher low, but the RSI prints a lower low. This is often seen in an uptrend and can signal a continuation of the bullish move.
Regular Bearish Divergence: Price prints a higher high, but the RSI prints a lower high. This suggests that bullish momentum is weakening and a potential reversal to the downside is coming.
Hidden Bearish Divergence: Price prints a lower high, but the RSI prints a higher high. This is often seen in a downtrend and can signal a continuation of the bearish move.
Confirmed divergences are plotted with solid-colored lines on the price chart and marked with a "B" (Bearish/Bullish) or "HB" (Hidden Bearish/Hidden Bullish) label.
The Core Innovation: The Divergence Projection
This is where the indicator truly shines and sets itself apart. Instead of waiting for a pivot point to be confirmed, our engine analyzes the current, unclosed candle.
Potential Divergence Detection: When the indicator notices that the current price and RSI are setting up for a potential divergence against the last confirmed pivot, it will draw a dashed line on the chart. This gives you a critical head-start before the signal is confirmed.
The Projection Line (Our Innovation): This is the game-changer. Rather than cluttering your chart with messy labels, the indicator calculates the exact closing price the next candle needs to achieve to make the current RSI level equal to the RSI of the last pivot.
It then projects a clean, horizontal dashed line at this price level into the future.
Attached to the end of this line is a single, consolidated label that tells you the type of potential divergence and the exact threshold price.
This unique visualization transforms a vague concept into a precise, actionable price target, completely free of chart clutter.
How to Use This Indicator
1. Trading Confirmed Divergences:
Look for the solid lines and the "B" or "HB" labels that appear after a candle has closed and a pivot is confirmed.
A Regular Bullish divergence can be an entry signal for a long position, often placed after the confirmation candle closes.
A Regular Bearish divergence can be an entry signal for a short position.
Hidden Divergences can be used as confirmation to stay in a trade or to enter a trade in the direction of the prevailing trend.
2. Using the Divergence Projection for a Tactical Advantage:
When a dashed line appears on the current price action, you are seeing a potential divergence in real-time.
Look to the right of the current candle for the Projection Line. The price level of this line is your key level to watch.
Example (Potential Bullish Divergence): You see a dashed green line forming from a previous low to the current lower low. To the right, you see a horizontal line projected with a label: "Potential Bull Div | Thresh: 10,750.50".
Interpretation: This means that if the next candle closes below 10,750.50, the RSI will not be high enough to form a divergence. However, if the price pushes up and the next candle closes above 10,750.50, the bullish divergence remains intact and is more likely to be confirmed. This gives you a concrete price level to monitor for entry or exit decisions.
How the Projection Engine Works: A Deeper Dive
To fully trust this tool, it's helpful to understand the logic behind it. The projection engine is not based on guesswork or repainting; it's based on a precise mathematical reverse-engineering of the RSI formula.
The Concept: The engine calculates the "tipping point." The Threshold Price is the exact closing price at which the new RSI value would be identical to the RSI value of the previous pivot point. It answers the question: "For this potential divergence to remain valid, where does the next candle need to close?"
The Technicals: The script takes the target RSI from the last pivot, reverse-engineers the formula to find the required average gain/loss ratio, and then solves for the one unknown variable: the gain or loss needed on the next candle. This required price change is then added to or subtracted from the previous close to determine the exact threshold price.
This calculation provides the precise closing price needed to hit our target, which is then plotted as the clean and simple Projection Line on your chart.
Features and Customization
- RSI Settings: Adjust the RSI period and source.
- Divergence Detection: Fine-tune the pivot lookback periods and the min/max range for detecting divergences.
- Price Source: Choose whether to detect divergences using candle Wicks or Bodies.
- Display Toggles: Enable or disable any of the four divergence types, as well as the entire projection engine, to keep your chart as clean as you need it.
Summary of Advantages
- Proactive Signals: Get ahead of the market by seeing potential divergences before they are confirmed.
- Unprecedented Clarity: Our unique Projection Line eliminates chart clutter from overlapping labels.
- Actionable Data: The threshold price provides a specific, objective level to watch, removing guesswork.
- Fully Customizable: Tailor the indicator's settings to match any timeframe or trading strategy.
- All-in-One Tool: No need for a separate RSI indicator; everything you need is displayed directly and cleanly on the price action.
We hope this tool empowers you to make more informed and timely trading decisions. Happy trading
Custom RVGI with Zero Lineits only traditional RVGI available in trading view and its not my own. I just adding zero line for visible comfort. I am not the creater or owner of this RVGI.
CMO For Loop | QuantLapseCMO For Loop Indicator
The CMO For Loop indicator, inspired by Alex Orekhov's, "Chande Momentum Oscillator," and indicator originally made by Tushar Chande, the CMO designed as a fast and responsive tool to capture quick price movements in financial markets. This oscillator leverages Momentum to measure price deviations, providing a concise yet powerful framework for identifying potential trade entry and exit points. What makes this
"enhanced" CMO indicator special is its ability to identify trending periods more accurately. By using thresholds, this allows the script to enter accurate long and short conditions extremely quickly.
Intended Uses:
Used to capture long-term trends:
Used to identify quick reversals:
Recommended Uses
Best suited for higher timeframes (8H+) to improve accuracy of signals.
Designed for strategies that require fast entries and exits.
Can also be applied to scalping approaches.
Not Recommended For
Should not be used as a mean reversion tool.
Should not be interpreted as a valuation indicator (overbought/oversold levels).
Key Features
Rapid Market Reaction
Built to prioritize speed over smoothing, making it ideal for traders who want to take advantage of quick price shifts in trending or highly volatile markets.
Flexible Thresholds
Users can customize the upper and lower CMO levels to trigger long or short conditions, allowing the indicator to adapt to different assets and trading styles.
Embracing the Noise
Signals may appear frequently, but this is intentional. The tool is optimized for traders who thrive on fast rotations, using the “noise” to catch short-lived yet impactful moves.
Clear Visual Feedback
Plots key oscillator levels and provides dynamic, color-coded candles and shapes that make it easy to identify bias and react quickly.
How It Works
Oscillator Calculation
The CMO (Chande Momentum Oscillator) is derived from comparing the source price’s deviations relative to its momentum. This approach emphasizes trend-driven price shifts.
Signal Triggers
When the oscillator rises above the upper threshold, a long bias is triggered and remains until the CMO drops below the lower threshold.
When the oscillator falls below the lower threshold, a short bias is triggered and remains until the CMO crosses back above the upper threshold.
No bias is active when the oscillator is between thresholds.
Visual Signals
Green candles = long bias
Red candles = short bias
Gray candles = neutral/no signal
Triangles mark points of change in signal direction.
REMS Snap Shot OverlayThe REMS Snap Shot indicator is a multi-factor, confluence-based system that combines momentum (RSI, Stochastic RSI), trend (EMA, MACD), and optional filters (volume, MACD histogram, session time) to identify high-probability trade setups. Signals are only triggered when all enabled conditions align, giving the trader a filtered, visually clear entry signal.
This indicator uses an optional 'look-back' feature where in it will signal an entry based on the recency of specified cross events.
To use the indicator, select which technical indicators you wish to filter, the session you wish to apply (default is 9:30am - 4pm EST, based on your chart time settings), and if which cross events you wish to trigger a reset on the cooldown.
The default settings filter the 4 major technical indicators (RSI, EMAs, MACD, Stochastic RSI) but optional filters exist to further fine tune Stochastic Range, MACD momentum and strength, and volume, with optional visual cues for MACD position, Stochastic RSI position, and volume.
EMAs can be drawn on the chart from this indicator with optional shaded background.
This indicator is an alternative to REMS First Strike, which uses a recency filter instead of a cool down.
REMS First Strike OverlayThe REMS First Strike indicator is a multi-factor, confluence-based system that combines momentum (RSI, Stochastic RSI), trend (EMA, MACD), and optional filters (volume, MACD histogram, session time) to identify high-probability trade setups. Signals are only triggered when all enabled conditions align, giving the trader a filtered, visually clear entry signal.
This indicator uses an optional 'cool down' feature where in it will signal an entry only after any of the specified cross events occur.
To use the indicator, select which technical indicators you wish to filter, the session you wish to apply (default is 9:30am - 4pm EST, based on your chart time settings), and if which cross events you wish to trigger a reset on the cooldown.
The default settings filter the 4 major technical indicators (RSI, EMAs, MACD, Stochastic RSI) but optional filters exist to further fine tune Stochastic Range, MACD momentum and strength, and volume, with optional visual cues for MACD position, Stochastic RSI position, and volume.
EMAs can be drawn on the chart from this indicator with optional shaded background.
This indicator is an alternative to REMS Snap Shot, which uses a recency filter instead of a cool down.
Confluence StackPlease read the instructions below. The code was mostly written using AI so may contain errors. Happy trading all and good luck. ATB Richard
INTENDED USE
This indicator is designed for technical traders who want to move beyond simple buy/sell signals and gain a deeper understanding of the underlying market dynamics. It is ideal for trend followers, swing traders, and anyone looking to confirm the quality of a trend.
WHO IS THIS FOR?
Traders who want to differentiate between strong, sustainable trends and weak, unreliable moves.
Analysts looking to identify high-conviction setups backed by multiple factors (e.g., momentum confirmed by volume).
Discretionary traders who need a quick, visual tool to gauge market sentiment and avoid choppy conditions.
WHY USE IT?
Traditional indicators often give conflicting signals. The Confluence Stack solves this by aggregating multiple perspectives into one clear visual. It helps you answer not just "Is the market going up?" but "WHY is it going up, and how strong is the conviction?". This allows for more informed decision-making and helps filter out low-probability trades.
DISCLAIMER AND LICENSE
This script is for educational purposes only and is not a recommendation to buy or sell any financial instrument. All trading and investment decisions are the sole responsibility of the user. Trading involves significant risk.
This source code is subject to the terms of the Mozilla Public License 2.0 at www.mozilla.org
HOW TO USE THIS INDICATOR
This indicator is designed to show the 'character' of a market move by grouping signals into distinct categories. Instead of seeing many individual signals, you see the strength of the underlying forces driving the price.
1. READ THE HEIGHT (Strength of Confluence)
The total height of the stack shows the strength of agreement. A tall stack means many signals are aligned, indicating a high-conviction move. A short stack means weak agreement and a choppy, indecisive market.
2. READ THE COLOR (Character of the Move)
The colors tell you WHY the market is moving.
BLUE (Momentum): A stack of mostly blue shades indicates a trend driven by pure momentum. This is the 'speed' of the market.
RSI (Relative Strength Index): Measures the magnitude of recent price gains versus losses. A smooth measure of trend strength.
Stochastic Oscillator: Measures the current closing price's position within the recent high-low range. More sensitive to immediate price action.
CCI (Commodity Channel Index): Measures the price's deviation from its moving average. Excels at identifying cyclical turns.
MACD (Moving Average Convergence Divergence): A trend-following momentum indicator showing the relationship between two moving averages. Excellent for identifying the start and end of trends.
YELLOW (Volume): The appearance of yellow shades confirms the move is supported by high market participation. This is the 'fuel' for the trend.
Volume Ratio: A custom signal that triggers when buy or sell volume is unusually high compared to its recent average.
CRV (Candle Range Volume): A custom signal that looks for candles with significant price range and volume.
OBV (On-Balance Volume): A cumulative indicator that adds volume on up days and subtracts it on down days. It shows the long-term flow of money.
FUCHSIA (Volatility): A fuchsia block signals a volatility breakout. This adds a sense of urgency and confirms the price is moving with exceptional force.
Bollinger Bands: A signal triggers when the price closes outside of the upper or lower standard deviation bands.
ORANGE (Price Action): An orange block is a pure price structure signal. It's a raw statement of intent from the market.
Price Gap: A signal that triggers when there's a gap up or gap down between candles.
3. READ THE TRANSITION (Shift in Sentiment)
The most important signal from the stacks is the flip from one side of the zero line to the other.
Flipping from Negative to Positive: A bearish stack disappears and is replaced by a bullish stack. This indicates market sentiment is shifting from bearish to bullish.
Flipping from Positive to Negative: A bullish stack disappears and is replaced by a bearish stack. This warns of a potential top or the start of a new downtrend.
4. FILTER FOR NOISE (Plot Threshold)
In choppy markets, the stack can flicker with low signal counts (e.g., +1 or -1). To focus only on high-conviction moves, go to the indicator settings and increase the "Plot Threshold". A setting of 2 or 3 will hide all stacks that don't have at least 2 or 3 agreeing signals, effectively filtering out market noise and keeping your chart clean.
5. CUSTOMIZE YOUR SIGNALS (Enable/Disable)
This indicator is fully customizable. In the settings, you can enable or disable each of the 9 indicators individually. For example, if you are a pure momentum trader, you could disable all Volume, Volatility, and Price Action signals to focus only on the blue stacks. Tailor it to fit your specific trading style.
EXAMPLE INTERPRETATIONS
Strong, Confirmed Trend: A tall stack of mostly blue (Momentum) and yellow (Volume) indicates a high-quality trend backed by both speed and market participation.
Momentum-Only Trend: A tall stack of only blue is a strong momentum move, but the lack of yellow (Volume) is a warning that the move may lack the "fuel" to be sustained.
Choppy/Indecisive Market: A short, mixed-color stack flickering around the zero line means the market is choppy with no clear conviction. It's often best to stay out.
Volatility Breakout: A new stack that appears suddenly with a fuchsia (Bollinger Bands) block on its first bar suggests a volatility-driven breakout is initiating.
Exhaustion Move: An orange (Price Gap) block appearing at the peak of a tall, long-standing stack can signal an exhaustion gap, potentially marking the end of the trend.
Weakening Conviction (Divergence): If price makes a new high but the positive stack is visibly shorter than the stack at the previous price high, it suggests underlying conviction is weakening.
Trend Strength Confidence Gauge LiteMost traders don’t fail from bad charts — they fail from bad timing. Jumping in too early, bailing too soon, or freezing when the move finally comes.
The Trend Strength Confidence Meter strips away the noise and highlights the three factors that matter most:
Trend → The confirmed direction of the market
Confidence → Concise tool clarity providing quick entries
Strength → Strength Score shows the underlying battle between buyers and sellers
How to Use It:
Watch the Moving Average Ribbon (Hull MA) for a flip: green = uptrend, red = downtrend.
Act only when ribbon color matches the Confidence thumbs-up.
Confirm with Strength 3+ before entry.
When trend, confidence, and strength align, you reduce risk and step in at tighter entry points — giving clarity for entries and conviction to hold through stronger moves.
Advanced Indicators Made Simple — Provided by The AI Trading Desk
WAE SHK Teyla 3MDesigned to detect high-pressure market moments, where momentum and volume converge to trigger explosive moves. Ideal as an entry trigger in scalping strategies, especially when paired with STC and ST-MA.
FlowFusion Money Flow — FP + VWAP Drift + PVT (−100..+100)Title (ASCII only)
FlowFusion Money Flow — Flow Pressure + Rolling VWAP Drift + PVT (Normalized −100..+100)
Short Description
Original money-flow oscillator combining Flow Pressure, Rolling VWAP Drift, and PVT Momentum into one normalized score (−100..+100) with a signal line, thresholds, optional component plots, and ready-made alerts.
Full Description (meets “originality & usefulness”)
What’s original
FlowFusion Money Flow is not a generic mashup. It builds a single score from three complementary, volume-aware components that target different facets of order flow:
Flow Pressure (FP) — In-bar directional drive scaled by relative volume.
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Rolling VWAP Drift — Direction of VWAP itself over a rolling window, normalized by ATR.
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PVT Momentum — Price-Volume Trend standardized (z-score) and squashed.
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with a Signal = SMA(Score, sigLen). Thresholds mark strong accumulation/distribution zones.
How it works (step-by-step)
Compute FP, VWAP Drift, PVT Momentum.
Normalize each to the same
scale.
Weighted average → FlowFusion Score.
Smooth with a Signal line to reduce whipsaw.
Optional background shading when Score exceeds thresholds.
How to use
Direction filter:
Score > 0 favors longs; Score < 0 favors shorts.
Momentum turns:
Score crosses above Signal → setup for long; below → setup for short.
Strength zones:
Above Upper Threshold (default +40) = strong buy pressure; below Lower (−40) = strong sell pressure.
Confluence:
Best near S/R, trendlines, or HTF bias. For scalping on 1–5m, consider sigLen 9–13 and thresholds ±40 to ±50.
Alerts included: zero cross, zone entries, and Score/Signal crossovers.
Inputs (key)
fpLen (20): relative-volume lookback for Flow Pressure.
vwapLen (34): rolling VWAP window.
pvtLen (50): PVT z-score window.
sigLen (9): Signal smoothing.
Weights: wFP, wVWAP, wPVT to bias the blend.
Thresholds: upperBand / lowerBand (defaults +40/−40).
Display: toggle component plots and background shading.
Best practices
Trending markets: increase wVWAP (VWAP Drift) or widen thresholds.
Ranging markets: increase wFP and wPVT; take quicker profits.
News: wait for bar close confirmation or reduce size.
Data quality: use consistent volume feeds (especially in crypto).
Limitations
Oscillators can stay extreme in strong trends; use structure/trend filters.
Volume anomalies (illiquid pairs, API glitches) can distort signals—sanity-check with another venue when possible.
Disclaimer
This indicator is for educational purposes only and is not financial advice. Trading involves risk; past performance does not guarantee future results. Always paper-trade first and use appropriate risk controls.
SMC Zones & Confirmations with Filters [PersianDev]these zones filtered by confirmations. confirmations are with filters.
Nearest Rank For Loop - [JTCAPITAL]Nearest Rank For Loop is used for trend-following using the median of the data.
The indicator works by calculating in the following steps:
1. The median is calculated using the ranking length of the source and using "percentile nearest rank" to determine the middle value. This is done with the original length and the length devided by 3, averaged out to eliminate false signals from extremely fast and temporary market movements.
2. Over the length of the loop values get added based on the median being higher than the previous median.
3. The results of the for loop segment get smoothed out using an EMA.
--Buy and sell conditions--
-When the for loop values get above the long threshold we enter a buying condition, we dont exit the buying condition until the for loop values get below the short condition. Which signals a short.
-When the values stay between the thresholds the signal doesnt change. This and smoothing out the for loop values is used to eliminate false signals as much as possible.
--Features and Parameters--
-Allows the changing of the length of the ranking (median)
-Allows the usage of different sources
-Allows changing of the paramaters over the start and end of the for loop segment
-Allows changing the thresholds for longs and shorts
-Allows changing the parameter for the smoothing using an EMA
--Details--
Both the wide thresholds and the use of an EMA over the for loop values are used to eliminate as much false signals as possible. Aswell as deviding the length by 3 and taking the average from the medians. From testing this indicator we have found that using a very small value for the shorting gives the overall best performance. Since a fast market move wont immediately trigger a false signal, but it also wont massively delay entries and exits.
It is recommended to change the parameter settings for different asset classes and timeframes based off volatility and fast and confusing market movements.
Enjoy!
Big Mo’s Glaskugel — Macro Drawdown Risk (v1.1.2)What it does / what you see
An at-a-glance drawdown-risk oscillator that blends several macro US signals.
• A smooth, color-blended line (green→orange→red) shows the scaled risk score (0–100).
• Subtle shading marks “re-steepen warning windows” (starts when the yield curve re-steepens after an inversion; ends on normalization/cool-down).
• A compact status table summarizes: overall risk level, Yield Curve (10y–3m), Credit Stress (Baa–10y), Economy (LEI), and Valuation (CAPE).
Data used & why
Yield Curve (10y–3m) — FRED:T10Y3M. Inversions and subsequent re-steepens often precede recessions/equity drawdowns.
Credit Stress — FRED:BAA10Y vs its 1-year average (deviation in bps). Widening credit spreads flag tightening financial conditions.
Economy (LEI) — ECONOMICS:USLEI. 6-month annualized growth below a cutoff highlights macro deterioration.
Valuation (CAPE) — SHILLER_PE_RATIO_MONTH. Elevated valuations can amplify downside risk.
VIX spikes — optional boost that recognizes sudden risk repricings.
Important disclaimer
This is not a reliable or predictive indicator in all regimes. No guarantees or warranties of any kind are provided. It is not financial advice. Signals can be early, late, or wrong.
That said, it leans on well-studied warning factors (yield-curve dynamics, credit spreads, LEI weakness, valuation extremes) that have flagged major market downturns in the past.
Key customization / tweaks
Weights for each component (Yield, Credit, LEI, VIX, CAPE).
Thresholds: yield inversion months, re-steepen lookback, credit-stress bps, LEI cutoff, CAPE level, VIX spike levels.
Re-steepen boost: enable/disable, base points, half-life decay.
Shading behavior: cool-down bars to “unwarn,” max warning duration, only shade when risk ≠ green.
Scaling & smoothing: dynamic rolling max, EMA length, yellow/red thresholds.
Status table: position, and a snapshot mode to view values at a chosen historical time.
Standardized Cumulative Deltas [LuxAlgo]The Standardized Cumulative Deltas tool allows traders to compare the cumulative standardized open-close difference for up to 10 different tickers, allowing them to visualize the general sentiment for all selected tickers.
These results allow the construction of two areas showing the average or extreme bullish and bearish cumulative change for all enabled tickers, providing a summarized view of the overall ticker group sentiment.
🔶 USAGE
This tool is meant to give a full picture of the individuals and/or overall selected tickers, and unlike classical indicators, the displayed series of values is not meant to be directly interpreted over time.
Given the selected lookback period, a majority of observations being above 0 indicate an overall bullish market for the asset.
By default, the auto lookback period feature is enabled, allowing the tool to use all the visible bars for its calculations. Traders can also set the lookback period manually. The above chart uses a fixed lookback period of 500.
Up to 10 tickers can be used. While major cryptocurrencies are set by default, the users can set a specific basket of assets, such as US equities, forex pairs, commodities, etc.
🔹 Densities
The provided areas, here called densities, can be used to get an overall sentiment of the selected tickers. The upper density (bullish) processes positive deltas, while the lower one (bearish) processes negative ones.
Interpretation is subject to the selected "Density Mode".
Average: Densities track the average bullish/bearish cumulative deltas for the selected tickers. For example, a more prominent bullish density would indicate that, on average, cumulative deltas were positive across the tickers.
Envelope: Densities track the extreme values made by bullish/bearish cumulative deltas for the selected tickers. Here, a more prominent density would indicate more volatile bullish/bearish movements, depending on the density.
🔹 Dashboard
The tool features a dashboard with active tickers and their respective colors for traders' convenience.
🔶 DETAILS
🔹 Densities
Densities are obtained by applying a forward-backward exponential moving average on the average, or the highest/lowest cumulative series, depending on the selected Density Mode.
The resulting densities are smoothed by the "Smoothing" parameter located in the Settings panel, with higher values returning smoother envelopes with less variability.
Do note that the smoothing method used here is subject to repainting.
🔶 SETTINGS
Lookback: Select the lookback period and enable/disable the Auto Lookback feature
Tickers: Enable/disable and select up to 10 tickers and their colors
Density Mode: Determine how densities are calculated
🔹 Dashboard
Show Dashboard: Enable/disable the dashboard
Position: Select the dashboard position
Size: Select the dashboard size
🔹 Style
Density: Enable/disable the density areas
Bullish Density: Select the color of the top density area
Bearish Density: Select the color of the bottom density area
Smoothing: Select the smoothing constant for the EMA calculation
Adaptive Valuation [BackQuant]Adaptive Valuation
What this is
A composite, zero-centered oscillator that standardizes several classic indicators and blends them into one “valuation” line. It computes RSI, CCI, Demarker, and the Price Zone Oscillator, converts each to a rolling z-score, then forms a weighted average. Optional smoothing, dynamic overbought and oversold bands, and an on-chart table make the inputs and the final score easy to inspect.
How it works
Components
• RSI with its own lookback.
• CCI with its own lookback.
• DM (Demarker) with its own lookback.
• PZO (Price Zone Oscillator) with its own lookback.
Standardization via z-score
Each component is transformed using a rolling z-score over lookback bars:
z = (value − mean) ÷ stdev , where the mean is an EMA and the stdev is rolling.
This puts all inputs on a comparable scale measured in standard deviations.
Weighted blend
The z-scores are combined with user weights w_rsi, w_cci, w_dm, w_pzo to produce a single valuation series. If desired, it is then smoothed with a selected moving average (SMA, EMA, WMA, HMA, RMA, DEMA, TEMA, LINREG, ALMA, T3). ALMA’s sigma input shapes its curve.
Dynamic thresholds (optional)
Two ways to set overbought and oversold:
• Static : fixed levels at ob_thres and os_thres .
• Dynamic : ±k·σ bands, where σ is the rolling standard deviation of the valuation over dynLen .
Bands can be centered at zero or around the valuation’s rolling mean ( centerZero ).
Visualization and UI
• Zero line at 0 with gradient fill that darkens as the valuation moves away from 0.
• Optional plotting of band lines and background highlights when OB or OS is active.
• Optional candle and background coloring driven by the valuation.
• Summary table showing each component’s current z-score, the final score, and a compact status.
How it can be used
• Bias filter : treat crosses above 0 as bullish bias and below 0 as bearish bias.
• Mean-reversion context : look for exhaustion when the valuation enters the OB or OS region, then watch for exits from those regions or a return toward 0.
• Signal confirmation : use the final score to confirm setups from structure or price action.
• Adaptive banding : with dynamic thresholds, OB and OS adjust to prevailing variability rather than relying on fixed lines.
• Component tuning : change weights to emphasize trend (raise DM, reduce RSI/CCI) or range behavior (raise RSI/CCI, reduce DM). PZO can help in swing environments.
Why z-score blending helps
Indicators often live on different scales. Z-scoring places them on a common, unitless axis, so a one-sigma move in RSI has comparable influence to a one-sigma move in CCI. This reduces scale bias and allows transparent weighting. It also facilitates regime-aware thresholds because the dynamic bands scale with recent dispersion.
Inputs to know
• Component lookbacks : rsilb, ccilb, dmlb, pzolb control each raw signal.
• Standardization window : lookback sets the z-score memory. Longer smooths, shorter reacts.
• Weights : w_rsi, w_cci, w_dm, w_pzo determine each component’s influence.
• Smoothing : maType, smoothP, sig govern optional post-blend smoothing.
• Dynamic bands : dyn_thres, dynLen, thres_k, centerZero configure the adaptive OB/OS logic.
• UI : toggle the plot, table, candle coloring, and threshold lines.
Reading the plot
• Above 0 : composite pressure is positive.
• Below 0 : composite pressure is negative.
• OB region : valuation above the chosen OB line. Risk of mean reversion rises and momentum continuation needs evidence.
• OS region : mirror logic on the downside.
• Band exits : leaving OB or OS can serve as a normalization cue.
Strengths
• Normalizes heterogeneous signals into one interpretable series.
• Adjustable component weights to match instrument behavior.
• Dynamic thresholds adapt to changing volatility and drift.
• Transparent diagnostics from the on-chart table.
• Flexible smoothing choices, including ALMA and T3.
Limitations and cautions
• Z-scores assume a reasonably stationary window. Sharp regime shifts can make recent bands unrepresentative.
• Highly correlated components can overweight the same effect. Consider adjusting weights to avoid double counting.
• More smoothing adds lag. Less smoothing adds noise.
• Dynamic bands recalibrate with dynLen ; if set too short, bands may swing excessively. If too long, bands can be slow to adapt.
Practical tuning tips
• Trending symbols: increase w_dm , use a modest smoother like EMA or T3, and use centerZero dynamic bands.
• Choppy symbols: increase w_rsi and w_cci , consider ALMA with a higher sigma , and widen bands with a larger thres_k .
• Multiday swing charts: lengthen lookback and dynLen to stabilize the scale.
• Lower timeframes: shorten component lookbacks slightly and reduce smoothing to keep signals timely.
Alerts
• Enter and exit of Overbought and Oversold, based on the active band choice.
• Bullish and bearish zero crosses.
Use alerts as prompts to review context rather than as stand-alone trade commands.
Final Remarks
We created this to show people a different way of making indicators & trading.
You can process normal indicators in multiple ways to enhance or change the signal, especially with this you can utilise machine learning to optimise the weights, then trade accordingly.
All of the different components were selected to give some sort of signal, its made out of simple components yet is effective. As long as the user calibrates it to their Trading/ investing style you can find good results. Do not use anything standalone, ensure you are backtesting and creating a proper system.
Pi Cycle OscillatorThis oscillator combines the Pi Cycle Top indicator with a percentile-based approach to create a more precise and easy to read market timing tool.
Instead of waiting for moving average crossovers, it shows you exactly how close you are to a potential market top.
Orange background means you should start preparing for a potential top and look into taking profits.
Red background means that the crossover has happened on the original Pi Cycle Indicator and that you should have already sold everything. (Crossover of the gray line aka 100)
Thank you
Bollinger Band Width Percentile - The_Caretaker
Pi Cycle Top - megasyl20
