Ultimate Reversion BandsURB – The Smart Reversion Tool
URB Final filters out false breakouts using a real retest mechanism that most indicators miss. Instead of chasing wicks that fail immediately, it waits for price to confirm rejection by retesting the inner band—proving sellers/buyers are truly exhausted.
Eliminates fakeouts – The retest filter catches only genuine reversions
Triple confirmation – Wick + retest + optional volume/RSI filters
Clear visuals – Outer bands show extremes, inner bands show retest zones
Works on any timeframe – From scalping to swing trading
Perfect for traders tired of getting stopped out by false breakouts.
Core Construction:
Smart Dynamic Bands:
Basis = Weighted hybrid EMA of HLC3, SMA, and WMA
Outer Bands = Basis ± (ATR × Multiplier)
Inner Bands = Basis ± (ATR × Multiplier × 0.5) → The "retest zone"
The Unique Filter: The Real Retest
Step 1: Identify an extreme wick touching the outer band
Step 2: Wait 1-3 bars for price to return and touch the inner band
Why it works: Most false breakouts never retest. A genuine reversal shows seller/buyer exhaustion by allowing price to come back to the "halfway" level.
Optional Confirmations:
Volume surge filter (default ON)
RSI extremes filter (optional)
Each can be toggled ON/OFF
How to Use:
Watch for extreme wicks touching the red/lime outer bands
Wait for the retest – price must return to touch the inner band (dotted line) within 3 bars
Enter on confirmation with built-in volume/RSI filters
Set stops beyond the extreme wick
Oversold
RSI Multi Levels kiawosch [TradingFinder] 7-14-42 Consolidation🔵 Introduction
The Relative Strength Index or RSI is a tool used to measure the speed and intensity of price movement, oscillating between zero and one hundred. It is commonly applied to identify strength or weakness in market momentum across different time intervals. Despite its simple formula and wide usage, the behavior of RSI within specific ranges often provides more precise information than traditional overbought and oversold levels.
The Multi RSI layout displays three RSI values with periods 7, 14 and 42. The seven period RSI plays the primary role in short term analysis. When this value enters predefined ranges, it shows highly consistent and interpretable behavior that can signal trend continuation, corrections or the start of a range structure. The other two values, RSI 14 and RSI 42, help reveal higher timeframe momentum and provide context for the depth and quality of price movement.
Three potential zones are defined, each representing a behavioral range. The position zones forms the basis for signal interpretation :
High Potential : 78 to 85 & 22 to 15
Mid Potential : 70 to 78 & 30 to 22
Low Potential : 58 to 62 & 42 to 38
These zones highlight areas where RSI reacts in specific ways to price movement. Entering the High Potential range usually aligns with new highs or lows in price and often precedes continuation after a correction. In contrast, reactions inside the Mid Potential range frequently appear during clean ranges or channel structures. This approach focuses on momentum quality and structural behavior rather than classic overbought and oversold thresholds.
In summary, the logic behind the signals follows three principles :
Trend continuation, When RSI 7 enters the High Potential zone and price prints a new high or low, continuation after a correction becomes the most likely outcome.
Reversal or slowdown, When RSI exits the High Potential zone while price is reaching a previous high or low, the probability of a short term reversal increases.
Range behavior, In clean ranges or channel structures, RSI 7 typically reacts inside the Mid Potential zone and produces consistent swing responses.
🔵 How to Use
This method is based on observing the repeating behavior of RSI within momentum zones and identifying moments when price continues after a shallow correction or, conversely, when signs of slowing and reversal appear. RSI 7 plays the main role since it gives the most sensitive response to short term price changes. Its entry into or exit from a potential zone, combined with the position of price relative to recent highs and lows, forms the core of the signal logic. RSI 14 and RSI 42 provide higher timeframe confirmation and help evaluate the broader strength or weakness behind each movement.
🟣 Trend continuation after entering the High Potential zone
When RSI 7 reaches the High Potential zone while price forms a new high or low, the probability of continuation becomes very high. The typical sequence includes a short correction in price and a retreat of RSI toward the Mid Potential zone. As long as price structure remains intact and RSI turns upward again, continuation becomes the most likely scenario. As shown in the charts, price often expands strongly after this type of correction and breaks the previous high.
🟣 Reversal or slowdown after exiting the High Potential zone
If RSI 7 enters the High Potential zone but then exits while price is interacting with a previous high or low, conditions for a short term reversal appear. This behavior is clear in the charts, where price hits a supply or demand area and RSI can no longer return to the upper zone. The drop in RSI reflects weakening momentum and, when accompanied by a confirming candle, increases the chance of a reversal or at least a temporary pause.
🟣 Strong reversal after hitting the Mid Potential zone during deeper corrections
Sometimes price enters a deeper corrective phase and RSI 7 moves into or through the Mid Potential zone. When this occurs near a previous low, it can mark the start of a significant reversal. The charts show this pattern clearly, where RSI turns upward while price reacts to support. If the other RSI values show relative alignment, the probability of a strong rebound increases. This signal is often seen after fast declines and can mark the beginning of a recovery wave.
🟣 Range structure and repetitive reactions inside the Mid Potential zone
When price enters a clean range or channel, the behavior of RSI 7 changes completely. In such conditions, RSI repeatedly reacts inside the Mid Potential zone. Each time price touches the upper or lower boundary of the range, RSI approaches the upper or lower part of this zone as well. The result is a sequence of predictable swing reactions, perfectly suitable for mean reversion strategies. Breakouts in these environments also tend to show higher failure rates.
🟣 Sharp reactions and fast reversals at extreme levels (RSI near 90 or below 10)
Although this approach is not based on classic overbought and oversold logic, extremely high or low RSI readings such as ninety often produce strong immediate reactions in price. These conditions usually occur after sudden spikes or emotional breakouts. As visible in the charts, RSI collapses quickly after reaching such extremes and price often reverses sharply. While not a core signal, these moments add meaningful context to momentum interpretation.
🔵 Settings
RSI Setting : This section allows enabling or disabling the three RSI values, adjusting their calculation length and customizing their colors. It is designed to help separate short, medium and longer term momentum visually on the chart.
Zones Setting : This section controls the display of momentum zones and the color applied to each area. Adjusting these colors or toggling them on and off helps the trader visually track the intensity and structure of momentum.
Levels Setting : This section allows editing the numeric boundaries of the levels or showing and hiding each one individually. These levels form the visual framework for interpreting RSI behavior within the defined momentum zones.
🔵 Conclusion
Examining RSI behavior across different momentum zones shows that entering these ranges creates relatively consistent patterns in price movement. Reaching the High Potential zone often corresponds to later stages of a trend, where price has the strength to continue after a brief correction and structure remains intact. In contrast, reactions within the Mid Potential zone occur more frequently when the market transitions into a range or a limited movement phase, where repetitive oscillations dominate.
Overall, observing RSI inside these zones helps distinguish between trending movement, corrective phases and range conditions with greater clarity. Entry or exit from each zone provides insight into the underlying strength or weakness of momentum and reveals where the market is positioned within its movement cycle. This perspective, based on momentum regions rather than traditional values alone, offers a more refined understanding of price behavior and highlights the likely direction of the next move.
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals.
What it shows:
Purple %K line → bearish momentum strengthening
Yellow %D line → bullish momentum building and smoothing
Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers
Midline at 50 → balance point where momentum shifts between bull- and bear-side control
Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart
How to read it:
Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation
Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups
Lines stacked and moving together → strong, cleaner momentum
Lines crossing repeatedly → low-conviction, choppy conditions
OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick
Why it’s different:
Classic Stoch RSI is hyper-sensitive and mostly noise.
VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
ARDO - Adaptive Regression Deviation Oscillator (v2.4.6)ARDO – Adaptive Regression Deviation Oscillator (v2.4.6)
ARDO (Adaptive Regression Deviation Oscillator) quantifies deviation of price structure from a regression-based equilibrium baseline using adaptive moving-average spreads. It combines percentile-normalized distance, linear-regression slope, and dynamic gradient scaling to reveal trend extension, exhaustion, and regime shifts—offering a structural view of trend integrity and mean-reversion timing beyond traditional momentum oscillators. It is designed to help you answer two questions:
Where are we in the regime? (extended, neutral, or reversal-prone)
Is this a “trade” environment or a “stand aside” environment? (Gate PASS vs Gate BLOCK / drift)
ARDO is best used as a context + timing framework , not a standalone entry/exit system.
What you see in the ARDO pane
1) Spread A (% vs baseline)
Primary “timing” spread (default: stepline). Spread A is colored by a 4-state maColor model:
GREEN : above baseline and strengthening
ORANGE : above baseline but weakening
RED : below baseline and weakening
GRAY : below baseline but improving
2) Spread B (% vs baseline)
Secondary “context” spread (default: columns). Same 4-state color model as above, often used to confirm or filter Spread A behavior.
3) LinReg (slope-gradient)
A LinReg line fit to a selected source (Spread A / Spread B / Spread A+B). ARDO applies a slope-magnitude gradient (opacity/intensity) to visualize regime:
Stronger slope magnitude = stronger directional regime
Fading / low slope magnitude = drift / dead-zone (lower edge, choppy conditions, or end-of-move)
4) Tier zones (Q0–Q2, H2–H4)
ARDO classifies LinReg values into percentile tiers (extremes and mid-tiers). These tiers can be rendered as:
Background regions, or
Zero-line marker circles (“MK …” plots)
Important: Background colors do not export . The “MK Q0 … MK H4” series are emitted so you can reconstruct tier membership in CSV/backtests.
5) Gate PASS / Gate BLOCK
A compact “permission layer” that can require:
Spread A > LinReg
EMA Fast > EMA Slow
Minimum Spread A threshold
Minimum absolute LinReg slope
Use Gate PASS to focus on higher-quality conditions; use Gate BLOCK as a “do nothing / reduce size” warning.
Key settings (what they change)
Tier Mode
Standard: symmetric cut structure (general purpose)
Asymmetric: separate tuning for highs vs lows (often better when upside and downside behavior are not symmetric)
Tier Population
All Bars (LinReg): tiers represent the full LinReg distribution
Pivots Only: tiers are computed from pivot events only (can tighten “extreme” definition and change how frequently zones appear)
Render Mode
Background: easiest to read visually
Zero-line Markers: best for export/backtesting workflows (MK series)
Gating options
Turn on/off each rule independently; adjust thresholds to match symbol volatility and timeframe.
Color overrides
Optional per-state color customization for Spread A, Spread B, and LinReg (4-state).
Alerts included (v2.4.6)
ARDO exposes named alerts you can use for automation or review, including:
Gradient / regime alerts (HIGH vs LOW slope-magnitude regimes; regime shift transitions)
Color-state changes (Spread B → GREEN/ORANGE/RED/GRAY; LinReg state changes)
Tier entry alert s (LinReg entering key tiers such as Q0/Q1/H3/H4)
Structural primitives (Bullish A > B, Bearish A < B, Gate PASS/BLOCK, crosses of 0, etc.)
How to use (practical workflow)
Anchor timeframe (65m or Daily): identify regime (tiers + gradient) and whether you should be aggressive or defensive.
Execution timeframe (5m/1m): time entries using Spread A/B structure and Gate PASS, aligned with the anchor regime.
Avoid forcing trades in drift: fading gradient + mid/low-edge tiers often marks “dead-zone” conditions.
Notes / limitations
ARDO is a context engine: it describes regime and location, not guaranteed direction.
Tier thresholds are distribution-based and will vary by window/timeframe.
Always apply your own risk management; this script is not financial advice.
RSI Master Suite [Kodexius]RSI Master Suite is a custom momentum engine built around a proprietary RSI style oscillator, designed to go far beyond a simple overbought and oversold line. The core calculation uses internal smoothing and optional adaptive logic to create a cleaner, more stable signal that is still responsive to real time price action. On top of that engine, the script adds structure, context and visual layers that turn the oscillator into a complete decision support panel.
Instead of watching a single line cross fixed levels, you get dynamic channels, gradient zones, reversal markers, divergence mapping, multi timeframe readings, a compressed stochastic flow and automated RSI based trendlines. The goal is to let you read the state of momentum at a glance: where it is stretched, where it is reverting, how different timeframes align and where conditions may support a potential shift in direction.
This is not ordinary RSI. It is a complete momentum intelligence engine that is designed to help you identify trend strength, exhaustion, breakout style conditions and potential reversal points with a structured and visually guided approach.
⚠️ Note:
This suite builds on a custom RSI engine and enhances it with an MTF dashboard, dynamic channels, divergence and deviation logic, stochastic flow and smart alerting. It is suitable for traders who rely on price action and momentum context, from short term scalpers to swing traders and more systematic trend followers.
🔹 Features
🔸 Enhanced RSI Core
- Custom RSI style oscillator with optional adaptive smoothing that aims to reduce noise while keeping momentum turns visible in real time.
- Configurable source and oscillator length to adapt the tool to different markets, assets and styles.
- Optional RSI moving average for an extra layer of confirmation on crosses and reversals.
♦️ Adaptiveness Logic - Heart of the Oscillator
The adaptive RSI engine continuously measures how efficiently price has been moving over a recent window comparing net directional movement to the total back-and-forth volatility.
When price is trending cleanly, the engine behaves closer to a fast response, allowing the oscillator to track momentum shifts more aggressively. In choppy or noisy phases, it automatically slows down and applies a heavier smoothing profile, down-weighting random fluctuations while preserving the larger structural swings.
🔸 Dynamic Channel Suite
- Multiple channel modes (Bollinger-style, Keltner-style or Donchian-style) applied directly to RSI, giving a clear view of volatility and expansion/contraction phases in momentum.
- Upper and lower channel bands highlight when RSI is pressing into extreme territory or breaking out of its usual range.
- Channel touches and breaks can be used as an additional filter for exhaustion or continuation behavior.
🔸 Gradient Overbought/Oversold Zones
- Customizable OB/OS levels with gradient fills, making it easy to see when RSI is entering, residing in, or exiting critical zones.
- Smooth shading between overbought, oversold and midline areas provides instant visual context instead of relying on hard lines alone.
- Midline (50) is clearly marked, helping to distinguish between bullish and bearish momentum regimes.
🔸 Reversal Signal Markers
- Bullish and bearish reversal markers are plotted when RSI conditions suggest a potential shift after reaching OB/OS zones.
- Signals rely on interactions between Enhanced RSI and its internal smoothing, reducing noise compared to raw threshold crosses.
- Markers are placed directly on the RSI line for quick recognition without cluttering the price chart.
🔸 Divergence Mapping (Regular & Hidden)
- Detects regular bullish/bearish divergences as well as hidden bullish/bearish divergences between price and RSI.
- Optional “wait for candle close” behavior, giving you the choice between more reactive or more conservative confirmations.
- Separate visibility toggles for each divergence type so you can focus only on the signals that fit your approach.
🔸 Compressed Stochastic “Flow” Overlay
- Built-in adaptive and normalized Stochastic RSI layer, normalized into a compact band around the midline to avoid overcrowding the panel.
- The design focuses on direction and pressure rather than raw values: the flow band shows whether short-term momentum is actively feeding into the current RSI regime or fading against it, giving an immediate read on micro-structure underneath the main signal.
- Visual emphasis on whether the stochastic flow is leaning bullish or bearish, rather than on exact numeric values.
- Filled zones above/below the midline help to quickly gauge short-term momentum thrusts within the broader RSI context.
🔸 Multi-Timeframe (MTF) Dashboard
- Compact dashboard table that summarizes RSI conditions across multiple user-defined timeframes.
Per-timeframe cells show:
- Divergence bias (bullish/bearish/none),
- OB/OS state,
- Basic directional “signal” hints,
- RSI channel breaks (upside/downside).
Makes it easy to see alignment or conflict between intraday and higher-timeframe momentum without changing charts.
Timeframe labels auto-format into familiar units (e.g., 1H, 4H, 1D) for readability.
🔸 Oscillator-Based Trendlines & Break Detection
- Automatic drawing of oscillator trendlines derived from swing pivots on the oscillator, not just on price.
- Lines adapt to bullish or bearish structures, focusing on clean slopes with minimal internal violations.
- Breaks of these RSI trendlines are highlighted with labels, providing an additional structural confirmation of potential momentum shifts.
🔸 Alert-Ready Event Logic
- Integrated alert conditions for RSI-based reversals and all four divergence types (regular/hidden, bullish/bearish).
- Designed so you can create alerts directly from the indicator, turning key RSI events into actionable notifications.
Altogether, RSI Master Suite consolidates multiple momentum tools into one cohesive interface, helping you read the “story” of RSI and its derivatives more intuitively and efficiently.
🔹 How To Use
▶ Reading the Core Momentum Engine
- The main line represents the custom momentum engine: values sustained above the midline indicate a bullish-leaning regime, while values below it point to a more bearish-leaning backdrop. Gradient OB/OS zones make it easy to see where conditions are stretched or rotating out of extremes instead of behaving like simple on/off thresholds.
- The dynamic channel adds a second layer of structure:
• When the engine is pressing into or outside the outer channel, momentum is extended relative to its recent behaviour.
• When it oscillates closer to the mid-area of the channel, conditions are more neutral or mean-reverting.
- If the internal moving average is enabled, crosses between the engine and its average can highlight transitions between phases rather than just single-bar spikes, especially around overbought/oversold zones.
▶ Working With Reversals & Divergences
- Reversal markers appear when the engine has pushed into OB/OS regions and then begins to turn with confirmation from its internal smoothing. They are meant as attention points around potential inflection zones in momentum, not as blind entry or exit signals on their own.
- Divergence mapping compares the structure of price swings with the structure of the engine:
• Regular bullish/bearish divergences highlight potential exhaustion when price makes a new extreme but momentum does not confirm.
• Hidden bullish/bearish divergences highlight potential continuation when price pulls back but the engine remains relatively strong (or weak) underneath.
- You can choose which divergence types to display and whether they should only confirm on candle close. Keeping “wait for close” enabled generally provides a more conservative, less noisy view of divergence structure.
▶ Using the Compressed Stochastic “Flow” Overlay
- The Stochastic flow band is designed as a micro-structure layer on top of the main engine, compressed into a tight band around the midzone so it doesn’t require a separate oscillator panel.
- When the flow spends more time in the upper side of its band, short-term impulse is aligning with bullish pressure; when it leans to the lower side, short-term activity is skewed bearish. This makes it easier to judge whether recent pushes are driving with, or fading against, the current momentum regime.
- Filled areas above and below the central line turn this overlay into a quick visual gauge of short-term thrust inside the broader momentum context, especially when viewed together with reversals and divergences.
▶ Reading the Multi-Timeframe Dashboard
- The MTF dashboard compresses multiple timeframes into a small table so you can see cross-timeframe alignment without changing charts. Each column corresponds to one timeframe from your list, and each row represents a different aspect of the engine: divergence bias, OB/OS status, directional hint and channel break state.
- A practical approach is to:
• Scan for alignment, where several higher timeframes show similar momentum regimes or biases.
• Note areas of conflict, where lower timeframes are diverging or reverting while higher timeframes remain extended.
- Used this way, the dashboard acts as a context map you glance at before drilling into any individual setup.
▶ Trendlines, Breaks & Structure
- The oscillator-based trendlines are drawn from swing pivots on the engine itself. This can reveal underlying momentum structure that does not always appear clearly on raw price swings.
- Rising lines typically reflect underlying strength, while falling lines reflect underlying weakness. When these lines are broken and annotated on the panel, they can serve as structural confirmation that a prior momentum phase is weakening or transitioning into something new.
- Many users keep this component off for day-to-day monitoring and switch it on when they want a more detailed structural read on momentum phases.
Trend Step Channel [BigBeluga]🔵 OVERVIEW
Trend Step Channel identifies directional bias by forming a dynamic volatility-based step channel. It detects trend shifts when candle lows close above the upper band (bullish) or when candle highs drop below the lower band (bearish). A step-style midline tracks the trend evolution, while an integrated dashboard shows price positioning percentages across multiple timeframes.
🔵 CONCEPTS
ATR-Based Channel — The indicator constructs upper and lower channel boundaries using ATR distance around a single adaptive trend line, providing automatic scaling with volatility.
Trend Direction Logic —
• Low above upper band → uptrend confirmation.
• High below lower band → downtrend confirmation.
Step Trend Line — A reactive midline that locks onto price swings, stepping upward or downward as new trend confirmations occur.
Channel Width — Defines the total volatility range around the midline; a wider channel smooths market noise, while a narrower one reacts faster.
Price Position Ratio — Calculates the relative position of the close within the channel, from 0% (bottom) to 100% (top).
🔵 FEATURES
Volatility-Adaptive Channel — Expands and contracts dynamically to match market volatility, maintaining consistent distance scaling.
Configurable MA Source — Choose from SMA, EMA, SMMA, WMA, or VWMA as the base smoothing method.
Color-Coded Step Line —
• Green indicates an uptrend.
• Orange indicates a downtrend.
Channel Fill Visualization — Semi-transparent fills highlight active volatility zones for clear trend identification.
Price Position Label — Displays a “<” marker and percentage at the channel edge showing how far the current close is from the lower or upper band.
Multi-Timeframe Dashboard —
• Displays alignment across 1H–5H charts.
• Each cell shows an arrow (↑ / ↓) with price % positioning.
• Cell background color reflects bullish or bearish bias.
Real-Time Updating — The channel, midline, and dashboard refresh dynamically every bar for continuous feedback.
🔵 HOW TO USE
Trend Confirmation —
• Bullish trend forms when candle low closes above the upper band.
• Bearish trend forms when candle high closes below the lower band.
Trend Continuation — Maintain bias while the step line color remains consistent.
Volatility Breakouts — Sudden candle breaks outside the band suggest new directional strength.
Dashboard Alignment — Confirm trend consistency across multiple timeframes before entering trades.
Entry Planning — In uptrends, consider entries near the lower band; in downtrends, focus on upper-band rejections.
Price Position Insight — Use the % label to judge whether price is extended (near 100%) or compressed (near 0%) within the channel.
🔵 CONCLUSION
Trend Step Channel delivers a precise, volatility-driven view of trend structure using ATR-based boundaries and a step-line framework. The integrated dashboard, color-coded channel, and live positioning metrics give traders a complete picture of market direction, trend strength, and price location within evolving conditions.
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.
Gold Fair Value [Alpha Extract]Gold-anchored Bitcoin fair value model is a macro-fundamental valuation indicator that anchors Bitcoin price assessment to gold market dynamics, establishing fair value zones through percentage change influence modelling and adaptive band multipliers. This overlay system provides institutional-grade context for identifying accumulation zones, distribution zones, and fair value equilibrium across all market cycles with minimal chart clutter through sophisticated gradient fill visualization.
🔶 Gold-Anchored Valuation Framework
Establishes Bitcoin's theoretical fair value by integrating daily gold price movements into a smoothed asset baseline, applying percentage change calculations over configurable periods to measure gold's momentum influence. The system translates gold's relative strength or weakness into Bitcoin price expectations through adjustable influence multipliers, creating a dynamic fair value line that adapts to shifting macro-fundamental relationships between digital and traditional store-of-value assets.
🔶 Multi-Layer Statistical Band System
Implements asymmetric upper and lower band multipliers applied to the fair value baseline, creating five distinct valuation zones: extreme overvaluation, moderate overvaluation, fair value equilibrium, moderate undervaluation, and extreme undervaluation. The asymmetric configuration (default 1.46x upper, 0.74x lower) reflects Bitcoin's historical tendency toward asymmetric volatility patterns with more violent upside moves and grinding downside action, optimizing zone accuracy for actionable trading decisions.
🔶 Gradient Fill Visualization
Employs sophisticated transparency-based gradient fills between bands to create visually intuitive valuation heat maps, with darker orange shading indicating proximity to fair value and lighter shading showing extreme deviation zones. The system maintains chart readability by hiding individual band lines while preserving the filled zones, eliminating visual clutter while delivering maximum information density for rapid market assessment without overwhelming the trader with excessive line plots.
🔶 Historical Context & Position Management
The lower band zones have historically preceded periods of constructive price behavior including consolidation phases and early-stage recovery rallies, while upper band interactions have preceded distribution and correction events. This historical pattern recognition enables traders to position proactively based on valuation extremes rather than reactively chasing momentum, supporting systematic accumulation during undervaluation periods and graduated profit-taking during overvaluation extremes.
All analysis provided by Alpha Extract is for educational and informational purposes only. The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations.
Smart RSI MTF Matrix [DotGain]Summary
Are you tired of trading trend signals, only to miss the bigger picture because you are focused on a single timeframe?
The Smart RSI MTF Matrix is the ultimate "Cockpit View" for momentum traders. Unlike chart overlays that can sometimes clutter your price action, this indicator organizes RSI conditions across 10 different timeframes simultaneously into a clean, separate Heatmap pane.
It monitors everything from the 5-minute chart all the way up to the 12-Month view , giving you a complete X-ray vision of the market's momentum structure instantly.
⚙️ Core Components and Logic
The Smart RSI MTF Matrix relies on a sophisticated hierarchy to deliver clear, actionable context:
Multi-Timeframe Engine: The script runs 10 independent RSI calculations in the background, organized in rows from bottom (Short Term) to top (Long Term).
Classic RSI Thresholds:
Overbought (> 70): Indicates price may be extended to the upside.
Oversold (< 30): Indicates price may be extended to the downside.
Smart Visibility System (The "Secret Sauce"): Not all signals are equal. A 5-minute signal is "noise" compared to a Yearly signal. This indicator automatically applies Transparency to differentiate importance. The visibility increases by 10% for each higher timeframe slot (Row).
🚦 How to Read the Matrix
The indicator plots dots in 10 stacked rows. The position and opacity tell you the direction and significance:
🟥 RED DOTS (Overbought Condition)
Trigger: RSI is above 70 on that specific timeframe.
Meaning: Potential bearish reversal or pullback.
🟩 GREEN DOTS (Oversold Condition)
Trigger: RSI is below 30 on that specific timeframe.
Meaning: Potential bullish reversal or bounce.
⚪ GRAY DOTS (Neutral)
Trigger: RSI is between 30 and 70.
Meaning: No extreme momentum present.
👻 TRANSPARENCY (Signal Strength)
The visibility of the dot tells you exactly which Timeframe (Row) is triggered. The higher the row, the more solid the color:
Faint (10-30% Visibility): Rows 1-3 (5m, 15m, 1h). Used for scalping entries.
Medium (40-60% Visibility): Rows 4-6 (4h, 1D, 1W). Used for swing trading context.
Solid (70-100% Visibility): Rows 7-10 (1M, 3M, 6M, 12M). Used for identifying major macro cycles.
Visual Elements
Structure: Row 1 (Bottom) represents the 5-minute timeframe. Row 10 (Top) represents the 12-Month timeframe.
Vertical Alignment: If you see a vertical column of Red or Green dots, it indicates Multi-Timeframe Confluence —a highly probable reversal point.
Key Benefit
The goal of the Smart RSI MTF Matrix is to keep your main chart clean while providing maximum information. You can instantly see if a short-term pullback (Faint Green Dot) is happening within a long-term uptrend (Solid Gray/Red Dot), allowing for precision entries.
Have fun :)
Disclaimer
This "Smart RSI MTF Matrix" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Smart RSI MTF [DotGain]Summary
Are you tired of constantly switching between timeframes to check the RSI, only to miss the bigger picture?
The Smart RSI MTF (Multi-Timeframe) is designed to solve this exact problem. It is a streamlined chart overlay that monitors RSI conditions across up to 10 different timeframes simultaneously —from the 1-minute chart all the way up to the Monthly view.
This indicator removes the need for multiple open tabs and declutters your analysis by plotting signals directly on your main chart using a smart "visual hierarchy" system based on transparency.
⚙️ Core Components and Logic
The Smart RSI MTF relies on a sophisticated 3-layer logic to deliver clear, actionable context:
Multi-Timeframe Engine: The script runs 10 independent RSI calculations in the background. It checks standard intervals (5m, 15m, 1h, 4h, Daily, Weekly, Monthly) to ensure you never miss a momentum extreme on any scale.
Classic RSI Thresholds:
Overbought (> 70): Indicates price may be extended to the upside.
Oversold (< 30): Indicates price may be extended to the downside.
Smart Visibility System (The "Secret Sauce"): Not all signals are equal. A 5-minute Overbought signal is "noise" compared to a Weekly Overbought signal. This indicator automatically applies Transparency to differentiate importance:
Minutes = High Transparency (Faint).
Hours = Medium Transparency.
Days/Weeks/Months = No Transparency (Solid/Bold).
🚦 How to Read the Indicator
The indicator plots shapes (Labels by default) directly above or below the candles. The appearance tells you the direction and the timeframe significance:
🟥 RED SIGNALS (Overbought Condition)
Trigger: RSI is above 70 on a specific timeframe.
Location: Placed above the candle bar.
Meaning: Potential bearish reversal or pullback.
🟩 GREEN SIGNALS (Oversold Condition)
Trigger: RSI is below 30 on a specific timeframe.
Location: Placed below the candle bar.
Meaning: Potential bullish reversal or bounce.
👻 TRANSPARENCY (Signal Strength)
Faint/Ghostly: The signal comes from a lower timeframe (e.g., 5m, 15m). Use for scalping or entry timing.
Solid/Bright: The signal comes from a major timeframe (e.g., Daily, Weekly). Use for swing trading and identifying major market turns.
Visual Elements
Symbol Shapes: Fully customizable (Label, Diamond, Circle, Triangle, etc.) via settings.
Stacking: If multiple timeframes trigger at once, symbols will overlay, creating a visually denser and darker color, indicating Confluence .
Key Benefit
The goal of the Smart RSI MTF is to help traders instantly spot Confluence . When you see a faint short-term signal align with a solid long-term signal, you have identified a high-probability reversal zone without leaving your chart.
Have fun :)
Disclaimer
This "Smart RSI MTF" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe
This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings.
Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters:
- K Period = 21 – smoother reaction, better suited for BTC’s macro cycles
- D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness
- Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal
✅ Smart Signal Logic:
Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws.
Visual Enhancements:
- Thick lines when %K/%D are in overbought/oversold zones
- Green/red background highlights on valid signals
- Optional up/down arrows for clear entry visualization
- Customizable colors, line widths, and transparency
🔒 No alerts included – clean, focused on price action and momentum.
💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves.
Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones.
перевод на русский
Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма
Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина.
В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры:
- Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC
- Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость
- Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота
✅ Интеллектуальная логика сигналов:
Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов».
Улучшенная визуализация:
- Жирные линии, когда %K/%D находятся в экстремальных зонах
- Зелёный/красный фон при появлении сигналов
- Опциональные стрелки для чёткого отображения точек входа
- Настройка цветов, толщины линий и прозрачности
🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе.
💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений.
На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
BTC Risk Metric DCA Adapter (3Commas Webhook Strategy)Risk Metric DCA Adapter (3Commas Webhook Strategy) - WORK IN PROGRESS
This Pine Script strategy, originally inspired by the Risk Metric Indicator, is fundamentally engineered as an Adapter to interface with external trading bots like 3Commas via Webhooks. It calculates a dynamic market risk score and translates that score into specific dollar-cost averaging (DCA) entry levels and tiered profit-taking exits.
Key Features & Logic
Risk Metric Calculation (Credit to The Trading Parrot):
The strategy incorporates a complex, multi-timeframe Risk Metric calculation based on daily and weekly moving averages (SMA) and standard deviation (StDev). This metric aims to quantify the current market overextension or compression relative to long-term historical data. The resulting score dictates the level of conviction for a new trade.
Tiered DCA Entry Sizing:
The strategy defines three distinct Buy Levels (L1, L2, L3) corresponding to increasingly favorable (lower) Risk Metric scores.
L1 (Base): Risk is moderate, initiating the minimum defined trade amount.
L2 (Scaled): Risk is low, initiating L1 amount + L2 amount.
L3 (Aggressive): Risk is very low, initiating L1 + L2 + L3 amounts.
Tiered Profit-Taking Exits:
The strategy implements a staggered, partial profit-taking approach based on the Risk Metric rising:
Sell L1 & L2: Closes a percentage of the current position when the Risk Metric reaches defined high thresholds, locking in partial profits.
Sell L3 (Full Exit): Closes the remaining position when the Risk Metric reaches the highest defined threshold.
The Adapter Function (Webhook Integration)
This script is unique because it uses the Pine Script strategy() function to trigger Order Fills, which are necessary to access powerful placeholders in the TradingView alert system.
Trigger Type: The alert must be set to trigger on Any order fill.
Dynamic Webhook Data: Instead of using fixed alert() commands, the strategy generates dynamic labels (e.g., BUY_ENTRY_L3_USD_1000 or SELL_L1_PCT_25) using the strategy.entry and strategy.close commands.
Data Transfer: The alert message then uses the placeholder {{strategy.order.comment}} to pass these dynamic labels to the 3Commas bot, allowing the bot to execute the precise action (e.g., start_deal_with_volume_in_quote_currency or close_deal_at_market_percentage).
Full Strategy Webhook payload
{
"secret": "YOUR_3COMMAS_SECRET_KEY",
"max_lag": "300",
"timestamp": "{{timenow}}",
"trigger_price": "{{close}}",
"tv_exchange": "{{exchange}}",
"tv_instrument": "{{ticker}}",
"action": "{{strategy.order.action}}",
"bot_uuid": "YOUR_BOT_UUID",
"strategy_info": {
"market_position": "{{strategy.market_position}}",
"market_position_size": "{{strategy.market_position_size}}",
"prev_market_position": "{{strategy.prev_market_position}}",
"prev_market_position_size": "{{strategy.prev_market_position_size}}"
},
"order": {
"amount": "{{strategy.order.contracts}}",
"currency_type": "base",
"comment": "{{strategy.order.comment}}"
}
}
Disclaimer: This script is an adapter tool and does not guarantee profit. Trading requires manual configuration of risk settings, bot parameters, and adherence to platform-specific setup instructions.
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator?
The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K.
Stochastic helps identify:
Overbought and oversold conditions
Bullish and bearish crossovers
Momentum shifts before price reversals
It is widely used in both trending and ranging markets.
💡 What Makes This Suite Different?
This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including:
✅ Core Features:
- Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality.
- Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20).
- %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram.
- Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas).
🔍 Divergence Detection (Optional):
- Bullish Divergence: Price makes lower lows while %K makes higher lows.
- Bearish Divergence: Price makes higher highs while %K makes lower highs.
- Customizable pivot lookbacks and range filters to control divergence strictness.
- Visual divergence labels plotted directly on the oscillator.
🎛️ Fully Toggleable Visuals:
Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes.
🔔 Alerts:
Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies.
⚙️ Use Cases
- Spot exhaustion in overbought/oversold zones
- Confirm or filter entries with divergence signals
- Monitor multiple timeframes without switching charts
- Use as a signal tool in confluence with price action or volume indicators
⚠️ Disclaimer
This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
OverBought & OverSold [SwissAlgo]OverBought & OverSold
Statistical analysis of momentum extremes
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Purpose
This indicator was built to answer three questions:
Is the current price move statistically extreme? - By comparing current momentum to historical distribution
What is the current market regime? - By combining trend position and momentum direction
Is momentum accelerating or decelerating? - By analyzing weekly momentum shifts
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What You Can Do With This Indicator
Identify Statistical Extremes
See when price momentum seems to have reached levels that historically preceded reversals
Compare the current Rate of Change to its historical mean and standard deviation
Spot when readings exceed ±1σ, ±2σ, or higher thresholds
Monitor Market Regime/State
Track whether the market seems to be in BULL, WEAK BULL, BEAR, or WEAK BEAR state
Observe potential transitions between regimes as they occur
Understand the relationship between price position and momentum
Assess Momentum Quality
Distinguish between potentially accelerating momentum (lime/red bars) and decelerating momentum (green/maroon bars)
Watch for possible momentum deterioration within established trends
Track weekly momentum patterns that filter out daily noise
Measure Distance from Trend
Monitor how far the price is from its long-term moving average (EMA 350)
Identify when price approaches trend support/resistance
Contextualize current position relative to historical distance patterns
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Overview
This indicator calculates a volume-weighted Rate of Change (ROC) and displays it with statistical Z-Score bands. It combines ROC analysis with market regime detection using weekly MACD and EMA positioning.
Key Features
Volume-weighted ROC calculation with 5-bar smoothing
Dynamic Z-Score bands (±0.5σ to ±6σ)
Four-state market regime classification
Weekly Stochastic RSI-based histogram coloring
Visual markers for extreme readings
Information table with current statistics
Calculations
Volume-Weighted ROC
The indicator compares two 5-bar volume-weighted average prices separated by the ROC
Length period:
Recent VWAP = Σ(Price × Volume) / Σ(Volume) for last 5 bars
Past VWAP = Σ(Price × Volume) / Σ(Volume) for 5 bars at lookback
ROC = ((Recent VWAP - Past VWAP) / Past VWAP) × 100
Default ROC Length: 30 periods
Why volume-weighted:
Single price points can be affected by temporary spikes
Volume weighting emphasizes legitimate price moves
5-bar averaging reduces single-bar noise
Z-Score Bands
The indicator maintains separate statistical distributions for positive and negative ROC values:
For positive ROC values:
Calculates mean and standard deviation of all positive ROC readings
Plots bands at +0.5σ, +1σ, +2σ, +3σ, +4σ, +5σ, +6σ above the mean
For negative ROC values:
Calculates mean and standard deviation of all negative ROC readings
Plots bands at -0.5σ, -1σ, -2σ, -3σ, -4σ, -5σ, -6σ below the mean
Z-Score formula:
If ROC > 0: Z = (ROC - Positive Mean) / Positive Std Dev
If ROC < 0: Z = (ROC - Negative Mean) / Negative Std Dev
Why separate distributions:
Upward and downward momentum often have different statistical properties
Separate analysis provides more accurate extreme identification
Each side maintains its own mean and volatility characteristics
The ±1σ bands use thicker lines (linewidth=2) as these levels are most frequently tested.
Market Regime States
Four states based on weekly MACD (10, 24, 8) and EMA 350:
BULL
Conditions: Price > EMA 350, Weekly MACD > 0, MACD > Signal, ROC histogram lime
Background: Lime (85% transparency)
Interpretation: Price above long-term trend with accelerating momentum
WEAK BULL
Conditions: Price > EMA 350 AND (MACD < Signal OR ROC histogram green)
Background: Green (95% transparency)
Interpretation: Price above trend, but momentum seems to be decelerating
BEAR
Conditions: Price < EMA 350, Weekly MACD < 0, MACD < Signal, ROC histogram red
Background: Red (85% transparency)
Interpretation: Price below long-term trend with accelerating downward momentum
WEAK BEAR
Conditions: Price < EMA 350 AND (MACD > Signal OR ROC histogram maroon)
Background: Maroon (95% transparency)
Interpretation: Price below trend, but downward momentum seems to be decelerating
NEUTRAL
Conditions: None of the above met
Background: Gray (95% transparency)
Interpretation: Transitional state between regimes
Why weekly MACD:
Filters daily volatility and noise
Provides more stable regime classification
Reduces false regime switches
Histogram Colors
Colors determined by Weekly Stochastic RSI (14, 14, 3, 3):
Lime: ROC > 0 and K > D (rising positive momentum)
Green: ROC > 0 and K < D (falling positive momentum)
Red: ROC < 0 and K < D (falling negative momentum)
Maroon: ROC < 0 and K > D (rising negative momentum)
Why weekly Stochastic RSI:
Shows momentum direction independent of absolute level
Weekly timeframe provides stable readings
K/D crossover indicates momentum shifts
Visual Markers
Red arrows (↓): Display when ROC ≥ +1σ (overbought zone)
Lime arrows (↑): Display when ROC ≤ -0.5σ (oversold zone)
These markers highlight when readings reach statistical extremes.
Information Table
Located at the top-right, displays four rows:
Row 1 - Market State
Shows current regime text (BULL/WEAK BULL/BEAR/WEAK BEAR/NEUTRAL)
Color matches regime state
Row 2 - Current Z-Score
Shows Z-Score value with 2 decimal places
Lime when Z ≤ -0.5 (statistically oversold)
Red when Z ≥ +1 (statistically overbought)
White for values between -0.5 and +1 (normal range)
Adds bullet (●) for extreme values
Row 3 - Price ROC %
Shows current ROC percentage
Lime when positive
Red when negative
Row 4 - Distance % EMA
Shows percentage distance from EMA 350
Calculates Z-score of distance
Red with ● when close to EMA in bull market (|Z| < 0.5)
Lime with ● when close to EMA in bear market (|Z| < 0.5)
Standard colors otherwise (lime when above EMA, red when below)
Why distance matters:
A price approaching EMA 350 in a bull market can signal a support test
Price near EMA 350 in a bear market can signal a resistance test
Z-score of distance shows if the current proximity is statistically unusual
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Settings
ROC Length (Integer, default: 30, minimum: 1)
Number of periods for ROC lookback
Higher values = slower response, smoother
Lower values = faster response, more sensitive
Source (Source, default: close)
Price data input for calculations
Can use close, open, high, low, hl2, hlc3, ohlc4
Show Info Table (Boolean, default: true)
Toggle table visibility
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Technical Details
Uses lookahead=barmerge.lookahead_off for all request.security() calls
Accumulates all historical ROC values in arrays for Z-Score calculation
Weekly timeframe data retrieved via request.security() on "1W" resolution
EMA length hardcoded to 350 periods
All plots use Pine Script v6 syntax
Data Requirements
Minimum bars required: ROC Length + 5 bars
Works on any timeframe
Applicable to any instrument with volume data
Historical data used: All available bars on the chart
Display Elements
Plots:
ROC histogram (plotcandle format)
Zero line (horizontal line)
14 standard deviation lines (7 positive, 7 negative)
13 filled regions between bands
14 sigma labels (displayed on last bar only)
Extreme zone markers (arrows)
Color Scheme:
Positive bands: Lime with varying transparency
Negative bands: Red with varying transparency
Fills: Green (positive) and Red (negative) with high transparency
Bands beyond 3σ use increased transparency (85%, 90%, 93%)
Visual Hierarchy
±1σ bands: Thicker lines (most important levels)
±0.5σ to ±3σ: Standard visibility
±4σ to ±6σ: Faded (visible only during extreme events)
Notes
This is an oscillator-type indicator (overlay=false)
Displays in a separate pane below the price chart
Does not generate automatic buy/sell signals
Does not include alert conditions
Does not repaint (all calculations use confirmed data)
Limitations
Requires sufficient historical data for meaningful statistics
Z-Score bands recalculate as new data accumulates
Market regime requires weekly MACD calculation (may show neutral on insufficient data)
Volume-weighting requires volume data availability
EMA 350 is fixed (not adjustable via inputs)
Statistical extremes do not guarantee reversals
Past distribution patterns do not predict future behavior
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Disclaimer
Educational Purpose Only
This indicator is provided for educational and informational purposes only. It is a technical analysis tool that displays statistical calculations and historical data patterns.
Not Financial Advice
This indicator does not provide financial, investment, trading, or any other type of professional advice. All content and calculations are for informational purposes only and should not be construed as a recommendation to buy, sell, or hold any security or financial instrument.
No Guarantee of Results
Past performance and historical statistical patterns do not guarantee future results. Markets are inherently unpredictable, and statistical analysis cannot predict future price movements with certainty. The appearance of statistical extremes does not ensure that reversals will occur.
User Responsibility
Users of this indicator are solely responsible for their own trading and investment decisions. You should conduct your own research and due diligence and consult with qualified financial professionals before making any investment decisions.
Risk Warning
Trading and investing in financial markets involves substantial risk of loss. You should only trade with capital you can afford to lose. The use of technical indicators does not eliminate market risk.
No Warranty
This indicator is provided "as is" without warranty of any kind, either expressed or implied, including but not limited to warranties of accuracy, reliability, or fitness for a particular purpose. The author makes no guarantees regarding the accuracy of calculations or the absence of errors.
Limitation of Liability
The author and publisher of this indicator shall not be held liable for any losses, damages, or claims arising from the use or inability to use this indicator, including but not limited to trading losses, lost profits, or any other financial losses.
Data Accuracy
While efforts have been made to ensure calculation accuracy, users should independently verify all outputs. The indicator relies on data provided by TradingView, and the author is not responsible for data feed errors or interruptions.
User Agreement
By using this indicator, you acknowledge that you have read, understood, and agree to this disclaimer. If you do not agree with any part of this disclaimer, you should not use this indicator.
Tristan's Tri-band StrategyTristan's Tri-band Strategy - Confluence Trading System
Strategy Overview:
This strategy combines three powerful technical indicators - RSI, Williams %R, and Bollinger Bands - into a single visual trading system. Instead of cluttering your chart with separate indicator panels, all signals are displayed directly on the price chart using color-coded gradient overlays, making it easy to spot high-probability trade setups at a glance.
How It Works:
The strategy identifies trading opportunities when multiple indicators align (confluence), suggesting strong momentum shifts:
📈 Long Entry Signals:
RSI drops to 30 or below (oversold)
Williams %R reaches -80 to -100 range (oversold)
Price touches or breaks below the lower Bollinger Band
All three conditions must align during your selected trading session
📉 Short Entry Signals:
RSI rises to 70 or above (overbought)
Williams %R reaches 0 to -20 range (overbought)
Price touches or breaks above the upper Bollinger Band
All three conditions must align during your selected trading session
Visual Indicators:
(faint) Green gradients below candles = Bullish oversold conditions (buying opportunity)
(faint) Red/Orange gradients above candles = Bearish overbought conditions (selling opportunity)
Stacked/brighter gradients = Multiple indicators confirming the same signal (higher probability) will stack and show brighter / less faint
Blue Bollinger Bands = Volatility boundaries and mean reversion zones
Exit Strategy:
Long trades exit when price reaches the upper Bollinger Band OR RSI becomes overbought (≥70)
Short trades exit when price reaches the lower Bollinger Band OR RSI becomes oversold (≤30)
Key Features:
✅ Session Filters - Trade only during NY (9:30 AM-4 PM), London (3 AM-11:30 AM), or Asia (7 PM-1 AM EST) sessions
✅ No Repainting - Signals are confirmed on candle close for realistic backtesting and live trading
✅ Customizable Parameters - Adjust RSI levels, BB standard deviations, Williams %R periods, and gradient visibility
✅ Visual Clarity - See all three indicators at once without switching between panels
✅ Built-in Alerts - Get notified when entry and exit conditions are met
How to Use Effectively:
Choose Your Trading Session - For day trading US stocks, enable only the NY session. For forex or 24-hour markets, select the sessions that match your schedule.
Look for Gradient Stacking - The brightest, most visible gradients occur when both RSI and Williams %R signal together. These are your highest-probability setups.
Confirm with Price Action - Wait for the candle to close before entering. The strategy enters on the next bar's open to prevent repainting.
Respect the Bollinger Bands - Entries occur at the outer bands (price extremes), and exits occur at the opposite band or when momentum reverses.
Backtest First - Test the strategy on your preferred instruments and timeframes. Works best on liquid assets with clear trends and mean reversion patterns (stocks, major forex pairs, indices).
Adjust Gradient Visibility - Use the "Gradient Strength" slider (lower = more visible) to make signals stand out on your chart style.
Best Timeframes: 5-minute to 1-hour charts for intraday trading; 4-hour to daily for swing trading (I have also found the 3 hour timeframe to work really well for some stocks / ETFs.)
Best Markets: Liquid instruments with volatility - SPY, QQQ, major stocks, EUR/USD, GBP/USD, major indices
Risk Management: This is a mean reversion strategy that works best in ranging or choppy markets. In strong trends, signals may appear less frequently. Always use proper position sizing and stop losses based on your risk tolerance.
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Note: Past performance does not guarantee future results. This strategy is provided for educational purposes. Always backtest thoroughly and practice proper risk management before live trading.RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
Percentile Rank Oscillator (Price + VWMA)A statistical oscillator designed to identify potential market turning points using percentile-based price analytics and volume-weighted confirmation.
What is PRO?
Percentile Rank Oscillator measures how extreme current price behavior is relative to its own recent history. It calculates a rolling percentile rank of price midpoints and VWMA deviation (volume-weighted price drift). When price reaches historically rare levels – high or low percentiles – it may signal exhaustion and potential reversal conditions.
How it works
Takes midpoint of each candle ((H+L)/2)
Ranks the current value vs previous N bars using rolling percentile rank
Maps percentile to a normalized oscillator scale (-1..+1 or 0–100)
Optionally evaluates VWMA deviation percentile for volume-confirmed signals
Highlights extreme conditions and confluence zones
Why percentile rank?
Median-based percentiles ignore outliers and read the market statistically – not by fixed thresholds. Instead of guessing “overbought/oversold” values, the indicator adapts to current volatility and structure.
Key features
Rolling percentile rank of price action
Optional VWMA-based percentile confirmation
Adaptive, noise-robust structure
User-selectable thresholds (default 95/5)
Confluence highlighting for price + VWMA extremes
Optional smoothing (RMA)
Visual extreme zone fills for rapid signal recognition
How to use
High percentile values –> statistically extreme upward deviation (potential top)
Low percentile values –> statistically extreme downward deviation (potential bottom)
Price + VWMA confluence strengthens reversal context
Best used as part of a broader trading framework (market structure, order flow, etc.)
Tip: Look for percentile spikes at key HTF levels, after extended moves, or where liquidity sweeps occur. Strong moves into rare percentile territory may precede mean reversion.
Suggested settings
Default length: 100 bars
Thresholds: 95 / 5
Smoothing: 1–3 (optional)
Important note
This tool does not predict direction or guarantee outcomes. It provides statistical context for price extremes to help traders frame probability and timing. Always combine with sound risk management and other tools.
Overbought & Oversold by Vito_290📘 OB/OS Candle Color – Confluence + Volume (v6)
This indicator colors candles based on the confluence of overbought (green) and oversold (red) conditions, combining technical signals from price and volume to provide reliable, uncluttered visual readings.
🔹 What It Measures
RSI → classic strength/weakness extremes.
Stochastic %K → short-term oscillations.
Bollinger %B + Price Z-Score → statistical deviations from the mean.
MFI, CMF, Volume Z-Score, OBV Z-Score → intensity and direction of capital flow.
🔹 How It Works
Each metric produces an overbought or oversold signal.
The indicator counts how many conditions are simultaneously true.
If the count exceeds the user-defined threshold (Min Conditions), the candle is colored:
Green → Overbought
Red → Oversold
An optional EMA-based trend filter avoids counter-trend signals.
🔹 Why It’s Useful
A single RSI or isolated volume spike can be misleading.
This tool filters market noise by combining eight independent signals, giving a much stronger confirmation of market extremes.
🔹 Recommended Timeframes
Optimized for 15m, 30m, 1h, 4h, and 1D charts.
Adjust Min Conditions depending on timeframe:
15–30m → 4–5
1h → 3–4
4h–1D → 3
🔹 Usage Tips
In trend-following strategies → keep the EMA filter ON.
In mean-reversion setups → turn the filter OFF to catch short-term reversals.
Give more weight to signals with extreme volume spikes and price beyond Bollinger Bands.
This is not an automatic trading system, but a visual trigger to help identify overextended zones and improve entry/exit timing.
overbought & oversoldOverbought & Oversold
📘 OB/OS Candle Color – Confluence + Volume (v6)
This indicator colors candles based on the confluence of overbought (green) and oversold (red) conditions, combining technical signals from price and volume to provide reliable, uncluttered visual readings.
🔹 What It Measures
RSI → classic strength/weakness extremes.
Stochastic %K → short-term oscillations.
Bollinger %B + Price Z-Score → statistical deviations from the mean.
MFI, CMF, Volume Z-Score, OBV Z-Score → intensity and direction of capital flow.
🔹 How It Works
Each metric produces an overbought or oversold signal.
The indicator counts how many conditions are simultaneously true.
If the count exceeds the user-defined threshold (Min Conditions), the candle is colored:
Green → Overbought
Red → Oversold
An optional EMA-based trend filter avoids counter-trend signals.
🔹 Why It’s Useful
A single RSI or isolated volume spike can be misleading.
This tool filters market noise by combining eight independent signals, giving a much stronger confirmation of market extremes.
🔹 Recommended Timeframes
Optimized for 15m, 30m, 1h, 4h, and 1D charts.
Adjust Min Conditions depending on timeframe:
15–30m → 4–5
1h → 3–4
4h–1D → 3
🔹 Usage Tips
In trend-following strategies → keep the EMA filter ON.
In mean-reversion setups → turn the filter OFF to catch short-term reversals.
Give more weight to signals with extreme volume spikes and price beyond Bollinger Bands.
This is not an automatic trading system, but a visual trigger to help identify overextended zones and improve entry/exit timing.
Mean Reversion Oscillator [Alpha Extract]An advanced composite oscillator system specifically designed to identify extreme market conditions and high-probability mean reversion opportunities, combining five proven oscillators into a single, powerful analytical framework.
By integrating multiple momentum and volume-based indicators with sophisticated extreme level detection, this oscillator provides precise entry signals for contrarian trading strategies while filtering out false reversals through momentum confirmation.
🔶 Multi-Oscillator Composite Framework
Utilizes a comprehensive approach that combines Bollinger %B, RSI, Stochastic, Money Flow Index, and Williams %R into a unified composite score. This multi-dimensional analysis ensures robust signal generation by capturing different aspects of market extremes and momentum shifts.
// Weighted composite (equal weights)
normalized_bb = bb_percent
normalized_rsi = rsi
normalized_stoch = stoch_d_val
normalized_mfi = mfi
normalized_williams = williams_r
composite_raw = (normalized_bb + normalized_rsi + normalized_stoch + normalized_mfi + normalized_williams) / 5
composite = ta.sma(composite_raw, composite_smooth)
🔶 Advanced Extreme Level Detection
Features a sophisticated dual-threshold system that distinguishes between moderate and extreme market conditions. This hierarchical approach allows traders to identify varying degrees of mean reversion potential, from moderate oversold/overbought conditions to extreme levels that demand immediate attention.
🔶 Momentum Confirmation System
Incorporates a specialized momentum histogram that confirms mean reversion signals by analyzing the rate of change in the composite oscillator. This prevents premature entries during strong trending conditions while highlighting genuine reversal opportunities.
// Oscillator momentum (rate of change)
osc_momentum = ta.mom(composite, 5)
histogram = osc_momentum
// Momentum confirmation
momentum_bullish = histogram > histogram
momentum_bearish = histogram < histogram
// Confirmed signals
confirmed_bullish = bullish_entry and momentum_bullish
confirmed_bearish = bearish_entry and momentum_bearish
🔶 Dynamic Visual Intelligence
The oscillator line adapts its color intensity based on proximity to extreme levels, providing instant visual feedback about market conditions. Background shading creates clear zones that highlight when markets enter moderate or extreme territories.
🔶 Intelligent Signal Generation
Generates precise entry signals only when the composite oscillator crosses extreme thresholds with momentum confirmation. This dual-confirmation approach significantly reduces false signals while maintaining sensitivity to genuine mean reversion opportunities.
How It Works
🔶 Composite Score Calculation
The indicator simultaneously tracks five different oscillators, each normalized to a 0-100 scale, then combines them into a smoothed composite score. This approach eliminates the noise inherent in single-oscillator analysis while capturing the consensus view of multiple momentum indicators.
// Mean reversion entry signals
bullish_entry = ta.crossover(composite, 100 - extreme_level) and composite < (100 - extreme_level)
bearish_entry = ta.crossunder(composite, extreme_level) and composite > extreme_level
// Bollinger %B calculation
bb_basis = ta.sma(src, bb_length)
bb_dev = bb_mult * ta.stdev(src, bb_length)
bb_percent = (src - bb_lower) / (bb_upper - bb_lower) * 100
🔶 Extreme Zone Identification
The system automatically identifies when markets reach statistically significant extreme levels, both moderate (65/35) and extreme (80/20). These zones represent areas where mean reversion has the highest probability of success based on historical market behavior.
🔶 Momentum Histogram Analysis
A specialized momentum histogram tracks the velocity of oscillator changes, helping traders distinguish between healthy corrections and potential trend reversals. The histogram's color-coded display makes momentum shifts immediately apparent.
🔶 Divergence Detection Framework
Built-in divergence analysis identifies situations where price and oscillator movements diverge, often signaling impending reversals. Diamond-shaped markers highlight these critical divergence patterns for enhanced pattern recognition.
🔶 Real-Time Information Dashboard
An integrated information table provides instant access to current oscillator readings, market status, and individual component values. This dashboard eliminates the need to manually check multiple indicators while trading.
🔶 Individual Component Display
Optional display of individual oscillator components allows traders to understand which specific indicators are driving the composite signal. This transparency enables more informed decision-making and deeper market analysis.
🔶 Adaptive Background Coloring
Intelligent background shading automatically adjusts based on market conditions, creating visual zones that correspond to different levels of mean reversion potential. The subtle color gradations make pattern recognition effortless.
1D
3D
🔶 Comprehensive Alert System
Multi-tier alert system covers confirmed entry signals, divergence patterns, and extreme level breaches. Each alert type provides specific context about the detected condition, enabling traders to respond appropriately to different signal strengths.
🔶 Customizable Threshold Management
Fully adjustable extreme and moderate levels allow traders to fine-tune the indicator's sensitivity to match different market volatilities and trading timeframes. This flexibility ensures optimal performance across various market conditions.
🔶 Why Choose AE - Mean Reversion Oscillator?
This indicator provides the most comprehensive approach to mean reversion trading by combining multiple proven oscillators with advanced confirmation mechanisms. By offering clear visual hierarchies for different extreme levels and requiring momentum confirmation for signals, it empowers traders to identify high-probability contrarian opportunities while avoiding false reversals. The sophisticated composite methodology ensures that signals are both statistically significant and practically actionable, making it an essential tool for traders focused on mean reversion strategies across all market conditions.
Directional Momentum VisualizerDescription
This script provides a color-coded column visualization of a classic momentum oscillator that measures relative strength and weakness. Instead of a single line, it uses conditional coloring to make directional changes easier to identify at a glance.
The tool is designed for clarity and adaptability, offering both column and line displays, with optional overbought, oversold, and midpoint guides.
How It Works
The script evaluates the oscillator’s value relative to a midpoint and its previous reading.
Depending on whether it’s above or below the midpoint — and whether it’s rising or falling — each column changes color:
Strong upward momentum (above midpoint and rising) → bright green
Fading upward momentum (above midpoint but falling) → pale green
Strong downward momentum (below midpoint and falling) → bright red
Fading downward momentum (below midpoint but rising) → pale red
Unchanged from the previous value → gray
This structure makes momentum shifts instantly visible without relying on line crossings or alerts.
Key Features
Color-coded momentum columns for instant visual interpretation
Adjustable midpoint, overbought, and oversold levels
Optional line overlay for smoother reference
Dynamic background highlighting in extreme zones
Works on any symbol or timeframe
Inputs Overview
Length: Controls the sensitivity of the oscillator calculation.
Source: Selects the price source (Close, HL2, etc.).
Midpoint Level: Defines the central reference level separating bullish and bearish momentum.
Show Line: Toggles visibility of the traditional line overlay.
Overbought / Oversold Levels: Define upper and lower boundaries for potential exhaustion zones.
How to Use
Add the script to your chart from the Indicators tab.
Adjust the midpoint and level settings to fit your preferred configuration.
Observe how column colors shift to reflect strength or weakness in momentum.
Use these transitions as visual context, not as trade signals.
How it Helps
This visual approach offers a clearer perspective on momentum dynamics by replacing the traditional single-line display with color-coded columns. The conditional coloring instantly reveals whether momentum is strengthening or weakening around a chosen midpoint, making trend shifts and fading pressure easier to interpret at a glance. It helps reduce visual noise and allows for quicker, more intuitive analysis of market behavior.
This tool is intended purely as a visual aid to help identify changing momentum conditions at a glance. It is not a buy or sell signal generator and should be used in combination with other forms of analysis and sound risk management.
⚠️ Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
MILLION MEN - Sheep HunterWhat it is
MILLION MEN – Sheep Hunter is an RSI-based context tool designed to visually highlight extreme sentiment zones. It draws Overbought (herd/FOMO) and Oversold (panic/liquidity) boxes on price, and labels rare events (Whale / Wolf / Sheep / TP10) for easier discretionary analysis. It is not an entry signal generator, but a tool to understand crowd behavior at extremes.
How it works
RSI core: Adjustable length and custom OB/OS thresholds.
Zones:
• Red box = RSI between 80–90 (overbought pocket)
• Green box = RSI ≤ 20 (oversold pocket)
• Box height auto-scales using True Range for clear visibility
• Boxes persist for X bars after exit, keeping context visible
Marks (optional):
• Whale (deep oversold)
• Wolf Entry (oversold threshold)
• Sheep (extreme FOMO)
• TP10 (RSI ≤ 10, potential exit area)
How to use
Use zones and marks as context or confluence, not automatic entries. Oversold areas may hint at exhaustion or liquidity grabs; overbought areas can warn of crowd chasing tops. Combine with structure, HTF bias, volume or price action.
Originality & value
Unlike standard RSI lines, this tool projects extremes directly onto price with persistent, padded zones and minimal marks for clarity. It helps traders see sentiment pockets over time, rather than momentary RSI spikes.
Tested markets
This tool has been primarily tested on major crypto assets (BTC, XRP, ETH, BNB, LTC).
Behavior on other markets may vary and should be validated before use.
Limitations
RSI can stay extreme during strong trends.
Marks are context labels, not buy/sell signals.
Non-standard chart types are not supported.
No future data is used. This is not financial advice.
يعرض مناطق تشبع شرائي/بيعي على السعر مباشرة (صناديق حمراء وخضراء) مع علامات لحالات قصوى مثل Whale / Sheep. الهدف هو فهم سلوك السيولة والجمهور عند التطرف وليس إعطاء إشارات دخول مباشرة. تمت تجربة الأداة على العملات الرئيسية (BTC, XRP, ETH, BNB, LTC) وقد يختلف الأداء في الأسواق الأخرى.
Enhanced Holt-Winters RSI [BOSWaves]Enhanced Holt-Winters RSI – Next-Level Momentum Smoothing & Signal Precision
Overview
The Enhanced Holt-Winters RSI transforms the classic Relative Strength Index into a robust, lag-minimized momentum oscillator through Holt-Winters triple exponential smoothing. By modeling the level, trend, and cyclical behavior of the RSI series, this indicator delivers smoother, more responsive signals that highlight overbought/oversold conditions, momentum shifts, and high-conviction trading setups without cluttering the chart with noise.
Unlike traditional RSI, which reacts to historical data and produces frequent whipsaws, the Enhanced Holt-Winters RSI filters transient price fluctuations, enabling traders to detect emerging momentum and potential reversal zones earlier.
Theoretical Foundation
The traditional RSI measures relative strength by comparing average gains and losses, but suffers from:
Lag in trend recognition : Signals often arrive after momentum has shifted.
Noise sensitivity : High-frequency price movements generate unreliable crossovers.
Limited insight into structural market shifts : Standard RSI cannot contextualize cyclical or momentum patterns.
The Enhanced Holt-Winters RSI addresses these limitations by applying triple exponential smoothing directly to the RSI series. This decomposes the series into:
Level (Lₜ) : Represents the smoothed central tendency of RSI.
Trend (Tₜ) : Captures rate-of-change in smoothed momentum.
Seasonal Component (Sₜ) : Models short-term cyclical deviations in momentum.
By incorporating these elements, the oscillator produces smoothed RSI values that react faster to emerging trends while suppressing erratic noise. Its internal forecast is mathematical, influencing the smoothed RSI output and signals, rather than being directly plotted.
How It Works
The Enhanced Holt-Winters RSI builds its signal framework through several layers:
1. Base RSI Calculation
Computes standard RSI over the selected period as the primary momentum input.
2. Triple Exponential Smoothing (Holt-Winters)
The RSI is smoothed recursively to extract underlying momentum structure:
Level, trend, and seasonal components are combined to produce a smoothed RSI.
This internal smoothing reduces lag and enhances signal reliability.
3. Momentum Analysis
Short-term momentum shifts are tracked via a moving average of the smoothed RSI, highlighting acceleration or deceleration in directional strength.
4. Volume Confirmation (Optional)
Buy/sell signals can be filtered through a configurable volume threshold, ensuring only high-conviction moves trigger alerts.
5. Visual Output
Colored Candles : Represent overbought (red), oversold (green), or neutral (yellow) conditions.
Oscillator Panel : Plots the smoothed RSI with dynamic color coding for immediate trend context.
Signals : Triangular markers indicate bullish or bearish setups, with stronger signals flagged in extreme zones.
Interpretation
The Enhanced Holt-Winters RSI provides a multi-dimensional perspective on price action:
Trend Strength : Smoothed RSI slope and color coding reflect the direction and momentum intensity.
Momentum Shifts : Rapid changes in the smoothed RSI indicate emerging strength or weakness.
Overbought/Oversold Zones : Highlight areas where price is stretched relative to recent momentum.
High-Conviction Signals : Combined with volume filtering, markers indicate optimal entries/exits.
Cycle Awareness : Smoothing reveals structural patterns, helping traders avoid reacting to noise.
By combining these elements, traders gain early insight into market structure and momentum without relying on raw, lag-prone RSI data.
Strategy Integration
The Enhanced Holt-Winters RSI can be applied across trading styles:
Trend Following
Enter when RSI is aligned with price momentum and color-coded signals confirm trend direction.
Strong slope in the smoothed RSI signals trend continuation.
Reversal Trading
Look for RSI extremes with momentum shifts and strong signal markers.
Compression in oscillator values often precedes reversal setups.
Breakout Detection
Oscillator flattening in neutral zones followed by directional expansion indicates potential breakout conditions.
Multi-Timeframe Confluence
Higher timeframes provide directional bias; lower timeframes refine entry timing using smoothed RSI dynamics.
Technical Implementation Details
Input Source : Close, open, high, low, or price.
Smoothing : Holt-Winters triple exponential smoothing applied to RSI.
Parameters :
Level (α) : Controls smoothing of RSI.
Trend (β) : Adjusts responsiveness to momentum changes.
Seasonal Length : Defines cycles for short-term adjustments.
Delta Smoothing : Reduces choppiness in smoothed RSI difference.
Outputs :
Smoothed RSI
Colored candles and oscillator panel
Buy/Sell signal markers (with optional strength filtering)
Volume Filtering : Optional threshold to confirm signals.
Optimal Application Parameters
Asset-Specific Guidance:
Forex : Use moderate smoothing (α, β) to capture medium-term momentum swings while filtering minor price noise. Works best when combined with volume or volatility filters.
Equities : Balance responsiveness and smoothness to identify sustained sector momentum or rotational shifts; ideal for capturing clean directional transitions.
Cryptocurrency : Increase smoothing parameters slightly to stabilize RSI during extreme volatility; optional volume confirmation can help filter false signals.
Futures/Indices : Lower smoothing sensitivity emphasizes macro momentum and structural trend durability over short-term fluctuations.
Timeframe Optimization:
Scalping (1-5m) : Use higher sensitivity (lower smoothing factors) to react quickly to micro-momentum reversals.
Intraday (15m-1h) : Balance smoothing and responsiveness for detecting short-term acceleration and exhaustion zones.
Swing (4h-Daily) : Apply moderate smoothing to reveal underlying directional persistence and cyclical reversals.
Position (Daily-Weekly) : Use stronger smoothing to isolate dominant momentum trends and filter temporary pullbacks.
Integration Guidelines
Combine with trend filters (EMAs, SuperSmoother MA, ATR-based tools) for confirmation.
Use volume and signal strength markers to filter low-conviction trades.
Slope, color, and signal alignment can guide entry, stop placement, and scaling.
Disclaimer
The Enhanced Holt-Winters RSI is a technical analysis tool, not a guaranteed profit system. Effectiveness depends on proper settings, market structure, and disciplined risk management. Always backtest before live trading.
MILLION MEN - Peaks & Dips MeterWhat it is
The MILLION MEN — Peaks & Dips Meter is a dynamic momentum visualization tool designed to identify extreme strength and exhaustion zones. It uses two selectable engines:
RSI Meter (ZS Core) for classic strength analysis.
OB/OS Multi-Length (ZS Quick Core) for adaptive readings that reflect multi-period sentiment shifts.
How it works
The script computes normalized momentum values (0–100) from price dynamics, builds a smooth gradient representation, and displays it as a fixed right-bottom table. The meter color scales between fuchsia and green, with optional candle coloring and percentage labels.
It can also highlight overbought (peaks) and oversold (dips) moments directly on candles with adjustable ATR offsets and label styles.
How to use
Values near 90–100% → potential short-term exhaustion (watch for reversals).
Values near 0–10% → potential accumulation zones (possible bounces).
Use together with structure, volume, or trend filters for confirmation.
Originality
Unlike standard RSI tools, this script merges multi-length OB/OS detection with a real-time visual meter, optimized for scalpers and visual traders. It does not repaint and maintains a lightweight structure for fast responsiveness.
Limitations
This indicator is for analysis purposes only and should not be considered financial advice. Past readings do not guarantee future performance.
