Automated Z-scoring - [JTCAPITAL]Automated Z-Scoring -   is a modified way to use  statistical normalization through Z-Scores  for analyzing price deviations, volatility extremes, and mean reversion opportunities in financial markets.
The indicator works by calculating in the following steps:
 
   Source Selection 
The indicator begins by selecting a user-defined price source (default is the  Close  price). Traders can modify this to use any indicator that is deployed on the chart, for accurate and fast Z-scoring.
   Mean Calculation 
A  Simple Moving Average (SMA)  is calculated over the selected  length  period (default 3000). This represents the long-term equilibrium price level or the “statistical mean” of the dataset. It provides the baseline around which all price deviations are measured.
   Standard Deviation Measurement 
The script computes the  Standard Deviation  of the price series over the same period. This value quantifies how far current prices tend to stray from the mean — effectively measuring market volatility. The larger the standard deviation, the more volatile the market environment.
   Z-Score Normalization 
The  Z-Score  is calculated as:
 (Current Price − Mean) ÷ Standard Deviation .
This normalization expresses how many standard deviations the current price is away from its long-term average. A Z-Score above 0 means the price is above average, while a negative score indicates it is below average.
   Visual Representation 
The Z-Score is plotted dynamically, with color-coding for clarity:
Bullish readings (Z > 0) are showing positive deviation from the mean.
Bearish readings (Z < 0) are showing negative deviation from the mean.
 Make sure to select the correct source for what you exactly want to Z-score. 
 
 Buy and Sell Conditions: 
While the indicator itself is designed as a  statistical framework  rather than a direct buy/sell signal generator, traders can derive actionable strategies from its behavior:
 Trend Following:  When the Z-Score crosses above zero after a prolonged negative period, it suggests a return to or above the mean — a possible bullish reversal or trend continuation signal. 
 Mean Reversion:  When the Z-score is below for example -1.5 it indicates a good time for a DCA buying opportunity.
 Trend Following:  When the Z-Score crosses below zero after being positive, it may indicate a momentum slowdown or bearish shift. 
 Mean Reversion:  When the Z-score is above for example 1.5 it indicates a good time for a DCA sell opportunity
 Features and Parameters: 
 Length  – Defines the period for both SMA and Standard Deviation. A longer length smooths the Z-Score and captures broader market context, while a shorter length increases responsiveness.
 Source  – Allows the user to choose which price data is analyzed (Close, Open, High, Low, etc.).
 Fill Visualization  – Highlights the magnitude of deviation between the Z-Score and the zero baseline, enhancing readability of volatility extremes.
 Specifications: 
 Mean (Simple Moving Average) 
The SMA calculates the average of the selected source over the defined length. It provides a central value to which the price tends to revert. In this indicator, the mean acts as the equilibrium point — the “zero” reference for all deviations.
 Standard Deviation 
Standard Deviation measures the dispersion of data points from their mean. In trading, it quantifies volatility. A high standard deviation indicates that prices are spread out (volatile), while a low value means they are clustered near the average (stable). The indicator uses this to scale deviations consistently across different market conditions.
 Z-Score 
The Z-Score converts raw price data into a standardized value measured in units of standard deviation.
A Z-Score of 0 = Price equals its mean.
A Z-Score of +1 = Price is one standard deviation above the mean.
A Z-Score of −1 = Price is one standard deviation below the mean.
This allows comparison of deviation magnitudes across instruments or timeframes, independent of price level.
 Length Parameter 
A long lookback period (e.g., 3000 bars) smooths temporary volatility and reveals long-term mean deviations — ideal for macro trend identification. Shorter lengths (e.g., 100–500) capture quicker oscillations and are useful for short-term mean reversion trades.
 Statistical Interpretation 
From a probabilistic perspective, if the distribution of prices is roughly normal:
About 68% of price observations lie within ±1 standard deviation (Z between −1 and +1).
About 95% lie within ±2 standard deviations.
Therefore, when the Z-Score moves beyond ±2, it statistically represents a rare event — often corresponding to price extremes or potential reversal zones.
 Practical Benefit of Z-Scoring in Trading 
Z-Scoring transforms raw price into a normalized volatility-adjusted metric. This allows traders to:
Compare instruments on a common statistical scale.
Identify mean-reversion setups more objectively.
Spot volatility expansions or contractions early.
Detect when price action significantly diverges from long-term equilibrium.
By automating this process,  Automated Z-Scoring -   provides traders with a powerful analytical lens to measure how “stretched” the market truly is — turning abstract statistics into a visually intuitive and actionable form.
Enjoy!
Pengayun
TFRSI & RSI Analog Dial [CHE]  TFRSI & RSI Analog Dial    — Interactive analog visualization for TFRSI or RSI with gradient zones, radial markers, and a trailing hand pointer.
  Summary 
This indicator renders an interactive analog dial for either TFRSI or standard RSI, providing a visual gauge with gradient-filled zones for oversold, neutral, and overbought regions. The hand pointer tracks the current value, with optional trailing dots at recent positions to show momentum direction. Radial lines mark key thresholds, and a digital readout displays the exact value. This design enhances readability over linear plots by leveraging familiar clock-like intuition, reducing cognitive load during quick scans. Signals are robust due to clamping to safe bounds and mode-specific scaling, ensuring consistent display across different volatility regimes.
  Motivation: Why this design? 
Traditional linear RSI or momentum indicators often feel abstract, especially in fast-paced screening where users scan multiple assets. Sharp swings can make thresholds hard to gauge at a glance, leading to missed nuances in overbought or oversold conditions. This dial addresses that by mapping values to a curved scale with color gradients, making extremes visually pop while the hand's trail hints at recent path without cluttering the chart. The dual-mode support allows seamless switching between advanced momentum (TFRSI) and classic RSI, fitting diverse strategies without reloading scripts.
  What’s different vs. standard approaches? 
- Baseline reference: Diverges from linear plotlines like the built-in RSI oscillator, which stacks values vertically and relies on horizontal lines for thresholds.
- Architecture differences:
  - Curved projection with perspective tilt for depth illusion, using polyline arcs instead of straight plots.
  - Mode-aware clamping and scaling to handle TFRSI's extended range versus RSI's standard bounds.
  - Persistent trail array for hand history, capped at three points to avoid performance drag.
  - Gradient segmentation for smooth zone transitions, rendered via multiple thin polylines.
- Practical effect: Charts show a compact, rotatable dial that fits in pane corners, with colors intuitively signaling bias (lime for buy zones, red for sell). The trail adds qualitative flow without numerical overload, helping spot divergences faster than static bars.
  How it works (technical) 
The indicator first computes the selected metric: for TFRSI, it processes price accelerations through a multi-step filter involving differencing, exponential damping, and normalization to a centered scale; for RSI, it uses the standard gain-loss ratio over the specified period. The value is then clamped between mode-specific minimum and maximum bounds to prevent display overflow.
This clamped value drives the hand angle on a 300-degree arc, projected from a 3D-like model rotated for perspective. Arcs for zones are built as segmented polylines, with colors interpolated linearly across the gradient. Key levels are drawn as radial lines from inner to outer radius, colored by zone. The trail maintains up to three prior angles in an array, updated only on confirmed bars to avoid repainting, and rendered as sized dots fading from small to large.
Initialization seeds filter states to zero on first bar, with persistent variables holding smoothing history. Data flows from price to metric computation, clamping, angle mapping, and projection—all executed globally on the last bar for redraw efficiency.
  Parameter Guide 
Mode — Switches between TFRSI (extended momentum gauge) and RSI (classic oscillator); affects bounds, zones, and labels. Default: "TFRSI". Trade-offs: TFRSI adds sensitivity to accelerations but may amplify noise; RSI is more stable for trend confirmation.
Dial Size — Sets radius in pixels, scaling all elements proportionally. Default: 200. Bounds: 50–500. Tips: Larger for detailed views, smaller for multi-pane layouts; auto-scales hand length to match.
Dial Vertical Offset — Shifts entire dial up/down in pixels. Default: 0. Bounds: -200–200. Trade-offs: Negative pulls toward price action; positive spaces below—use to avoid overlap.
Camera Angle — Tilts view from top-down (0) to side (90) for 3D effect. Default: 45. Bounds: 0–90. Tips: Steeper angles emphasize depth but compress horizontally; flat for precision.
Resolution — Polygon sides for smooth arcs. Default: 64. Bounds: 4–64. Trade-offs: Higher reduces jaggedness but increases draw calls—balance with pane zoom.
TFRSI Hand Length — Base pointer length at 200px dial, auto-scaled. Default: 170. Bounds: 10–200. Tips: Longer for emphasis in large dials; shorter avoids edge clipping.
Show TFRSI Hand — Toggles pointer visibility. Default: true. Trade-offs: Off for clean zones only; on for value tracking.
Show Hand Trail Dots — Displays 3 fading dots at recent tips. Default: true. Trade-offs: Adds motion context but may clutter static views—disable in alerts.
TFRSI Hand Color — Pointer hue, used for trail dots too. Default: 7E57C2. Tips: Match strategy theme; gradients auto-blend to zones.
Dial Base Color — Arc outline/fill tint. Default: blue. Trade-offs: Opaque for contrast; transparent blends with background.
Neutral Color (50) — Mid-zone shade. Default: gray. Tips: Neutral tones reduce bias in balanced markets.
Oversold Color — Low-zone fill. Default: lime. Trade-offs: Bright for alerts; muted for subtlety.
Overbought Color — High-zone fill. Default: red. Trade-offs: As above—pair with hand blending.
Label Size — Text scaling for thresholds. Default: "normal". Options: tiny/small/normal/large/huge. Tips: Smaller for dense charts; larger for presentations.
Digital TFRSI Size — Readout font. Default: "large". Options: as above. Trade-offs: Balances visibility without dominating dial.
Digital Vertical Offset — Readout position shift. Default: -50. Bounds: -200–200. Tips: Negative centers above dial; adjust for multi-indicators.
TFRSI Length — Core lookback for accelerations. Default: 6. Min: 1. Trade-offs: Shorter heightens reactivity, risks whipsaws; longer smooths extremes.
TFRSI Trigger Length — Final smoothing passes. Default: 2. Min: 1. Tips: Increase for fewer false crosses; decrease for quicker pivots.
RSI Length — Period for gain-loss averaging. Default: 14. Min: 1. Trade-offs: Classic 14 balances; shorter for scalps, longer for swings.
  Reading & Interpretation 
The dial arcs sweep from overbought (right, red) through neutral (top, gray) to oversold (left, lime), with the hand pointing to the current value—clockwise for rising, counterclockwise for falling. Trail dots grow larger toward the present, colored to match hand zones, indicating recent direction without numbers. Threshold lines thicken at center (50) for quick zeroing; labels confirm levels. Digital readout below shows precise value prefixed by mode. Hand color gradients from neutral to extremes signal building pressure verbally: deepening red warns of potential pullbacks, brightening lime suggests bounces.
  Practical Workflows & Combinations 
Trend following: Enter long when hand crosses above 50 from oversold trail; confirm with higher highs in price structure. Filter shorts below 50 in downtrends using volume spikes.
Exits/Stops: Trail stops to recent dot positions in overbought; tighten on red gradients exceeding thresholds. Conservative: Exit at neutral; aggressive: Hold to extremes if trail aligns with momentum.
Multi-asset/Multi-TF: Defaults suit forex/stocks on 1H–4H; for crypto, shorten lengths by 20% for volatility. Stack with HTF security calls (e.g., daily mode on 15m chart) for confluence—watch for alignment across dials.
  Behavior, Constraints & Performance 
Closed-bar updates ensure no repainting; live bars show provisional hand/trail, confirmed on close. No security or HTF calls, so zero lookahead bias. Resources: Caps at 500 lines/labels/polylines, rebuilds only on last bar; max_bars_back=2000 handles history without lag. Known limits: Trail may stutter in flat markets; gradients approximate smooth fills via segments, visible at low resolution.
  Sensible Defaults & Quick Tuning 
Start with TFRSI mode, length=6, trigger=2 for responsive momentum on daily charts. Too choppy? Bump trigger to 4 for stability. Lagging entries? Drop length to 4, watch for overreactions. For RSI trend filter, set length=21; combine with MA cross for entries when dial nears 30/70.
  What this indicator is—and isn’t 
This is a visualization layer for momentum gauges, aiding quick bias assessment and threshold spotting. Pair it with price action, volume, and risk rules for decisions. It’s not a standalone signal generator or predictive tool—values reflect past data, prone to whipsaws in ranging conditions.
  Disclaimer 
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.  
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.  
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.  
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.  
 Best regards and happy trading  
Chervolino
Composite Buy/Sell Score [-100 to +100] by LMComposite Buy/Sell Score   (Stabilized + Sensitivity) by LM
Description:
This indicator calculates a composite trend strength score ranging from -100 to +100 by combining multiple popular technical indicators into a single, smoothed metric. It is designed to give traders a clear view of bullish and bearish trends, while filtering out short-term noise.
The score incorporates signals from:
PPO (Percentage Price Oscillator) – measures momentum via the difference between fast and slow EMAs.
ADX (Average Directional Index) – detects trend strength.
RSI (Relative Strength Index) – identifies short-term momentum swings.
Stochastic RSI – measures RSI momentum and speed of change.
MACD (Moving Average Convergence Divergence) – detects momentum shifts using EMA crossovers.
Williams %R – highlights overbought/oversold conditions.
Each component is weighted, smoothed, and optionally confirmed across a configurable number of bars, producing a stabilized composite score that reacts more reliably to significant trend changes.
Key Features:
Smoothed Composite Score
The final score is smoothed using an EMA to reduce volatility and emphasize meaningful trends.
A Sensitivity Multiplier allows traders to exaggerate the score for stronger trend signals or dampen it for quieter markets.
Customizable Inputs
You can adjust each indicator’s parameters, smoothing lengths, and confirm bars to suit your preferred timeframe and trading style.
The sensitivity multiplier allows fine-tuning the responsiveness of the trend line without changing underlying indicator calculations.
Visual Representation
Score Line: Green for positive (bullish) trends, red for negative (bearish) trends, gray near neutral.
Reference Lines:
0 = neutral
+100 = maximum bullish
-100 = maximum bearish
Adaptive Background: Optionally highlights the background intensity proportional to trend strength. Strong green for bullish trends, strong red for bearish trends.
Multi-Indicator Integration
Combines momentum, trend, and overbought/oversold signals into a single metric.
Helps identify clear entry/exit trends while avoiding whipsaw noise common in individual indicators.
Recommended Use:
Trend Identification: Look for sustained movement above 0 for bullish trends and below 0 for bearish trends.
Exaggerated Trends: Use the Sensitivity Multiplier to emphasize strong trends.
Filtering Noise: The smoothed score and confirmBars settings help reduce false signals from minor price fluctuations.
Inputs Overview:
Input	Purpose
PPO Fast EMA / Slow EMA / Signal	Controls PPO momentum sensitivity
ADX Length / Threshold	Detects trend strength
RSI Length / Overbought / Oversold	Measures short-term momentum
Stoch RSI Length / %K / %D	Measures speed of RSI changes
MACD Fast / Slow / Signal	Measures momentum crossover
Williams %R Length	Detects overbought/oversold conditions
Final Score Smoothing Length	EMA smoothing for final composite score
Confirm Bars for Each Signal	Number of bars used to confirm individual indicator signals
Sensitivity Multiplier	Scales the final composite score for exaggerated trend response
Highlight Background by Trend Strength	Enables adaptive background coloring
This indicator is suitable for traders looking for a single, clear trend metric derived from multiple indicators. It can be applied to any timeframe and can help identify both strong and emerging trends in the market.
Dynamic Fractal Flow [Alpha Extract]An advanced momentum oscillator that combines fractal market structure analysis with adaptive volatility weighting and multi-derivative calculus to identify high-probability trend reversals and continuation patterns. Utilizing sophisticated noise filtering through choppiness indexing and efficiency ratio analysis, this indicator delivers entries that adapt to changing market regimes while reducing false signals during consolidation via multi-layer confirmation centered on acceleration analysis, statistical band context, and dynamic omega weighting—without any divergence detection.
🔶 Fractal-Based Market Structure Detection
Employs Williams Fractal methodology to identify pivotal market highs and lows, calculating normalized price position within the established fractal range to generate oscillator signals based on structural positioning. The system tracks fractal points dynamically and computes relative positioning with ATR fallback protection, ensuring continuous signal generation even during extended trending periods without fractal formation.
🔶 Dynamic Omega Weighting System
Implements an adaptive weighting algorithm that adjusts signal emphasis based on real-time volatility conditions and volume strength, calculating dynamic omega coefficients ranging from 0.3 to 0.9. The system applies heavier weighting to recent price action during high-conviction moves while reducing sensitivity during low-volume environments, mitigating lag inherent in fixed-period calculations through volatility normalization and volume-strength integration.
🔶 Cascading Robustness Filtering
Features up to five stages of progressive EMA smoothing with user-adjustable robustness steps, each layer systematically filtering microstructure noise while preserving essential trend information. Smoothing periods scale with the chosen fractal length and robustness steps using a fixed smoothing multiplier for consistent, predictable behavior.
🔶 Adaptive Noise Suppression Engine
Integrates dual-component noise filtering combining Choppiness Index calculation with Kaufman’s Efficiency Ratio to detect ranging versus trending market conditions. The system applies dynamic damping that maintains full signal strength during trending environments while suppressing signals during choppy consolidation, aligning output with the prevailing regime.
🔶 Acceleration and Jerk Analysis Framework
Calculates second-derivative acceleration and third-derivative jerk to identify explosive momentum shifts before they fully materialize on traditional indicators. Detects bullish acceleration when both acceleration and jerk turn positive in negative oscillator territory, and bearish acceleration when both turn negative in positive territory, providing early entry signals for high-velocity trend initiation phases.
🔶 Multi-Layer Signal Generation Architecture
Combines three primary signal types with hierarchical validation: acceleration signals, band crossover entries, and threshold momentum signals. Each signal category includes momentum confirmation, trend-state validation, and statistical band context; signals are further conditioned by band squeeze detection to avoid low-probability entries during compression phases. Divergence is intentionally excluded for a purely structure- and momentum-driven approach.
🔶 Dynamic Statistical Band System
Utilizes Bollinger-style standard deviation bands with configurable multiplier and length to create adaptive threshold zones that expand during volatile periods and contract during consolidation. Includes band squeeze detection to identify compression phases that typically precede expansion, with signal suppression during squeezes to prevent premature entries.
🔶 Gradient Color Visualization System
Features color gradient mapping that dynamically adjusts line intensity based on signal strength, transitioning from neutral gray to progressively intense bullish or bearish colors as conviction increases. Includes gradient fills between the signal line and zero with transparency scaling based on oscillator intensity for immediate visual confirmation of trend strength and directional bias.
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.
Cora Combined Suite v1 [JopAlgo]Cora Combined Suite v1   (CCSV1)
This is an 2 in 1 indicator (Overlay & Oscillator) the Cora Combined Suite v1  .
CCSV1 combines a price-pane Overlay for structure/trend with a compact Oscillator for timing/pressure. It’s designed to be clear, beginner-friendly, and largely automatic: you pick a profile (Scalp / Intraday / Swing), choose whether to run as Overlay or Oscillator, and CCSV1 tunes itself in the background.
What’s inside — at a glance
1) Overlay (price pane)
CoRa Wave: a smooth trend line based on a compound-ratio WMA (CRWMA).
Green when the slope rises (bull bias), Red when it falls (bear bias).
Asymmetric ATR Cloud around the CoRa Wave
Width expands more up when buyer pressure dominates and more down when seller pressure dominates.
Fill is intentionally light, so candlesticks remain readable.
Chop Guard (Range-Lock Gate)
When the cloud stays very narrow versus ATR (classic “dead water”), pullback alerts are muted to avoid noise.
Visuals don’t change—only the alerting logic goes quiet.
Typical Overlay reads
Trend: Follow the CoRa color; green favors long setups, red favors shorts.
Value: Pullbacks into/through the cloud in trend direction are higher-quality than chasing breaks far outside it.
Dominance: A visibly asymmetric cloud hints which side is funding the move (buyers vs sellers).
2) Oscillator (subpane or inline preview)
Stretch-Z (columns): how far price is from the CoRa mean (mean-reversion context), clipped to ±clip.
Near 0 = equilibrium; > +2 / < −2 = stretched/extended.
Slope-Z (line): z-score of CoRa’s slope (momentum of the trend line).
Crossing 0 upward = potential bullish impulse; downward = potential bearish impulse.
VPO (stepline): a normalized Volume-Pressure read (positive = buyers funding, negative = sellers).
Rendered as a clean stepline to emphasize state changes.
Event Bands ±2 (subpane): thin reference lines to spot extension/exhaustion zones fast.
Floor/Ceiling lines (optional): quiet boundaries so the panel doesn’t feel “bottomless.”
Inline vs Subpane
Inline (overlay): the oscillator auto-anchors and scales beneath price, so it never crushes the price scale.
Subpane (raw): move to a new pane for the classic ±clip view (with ±2 bands). Recommended for systematic use.
Why traders like it
Two in one: Structure on the chart, timing in the panel—built to complement each other.
Retail-first automation: Choose Scalp / Intraday / Swing and let CCSV1 auto-tune lengths, clips, and pressure windows.
Robust statistics: On fast, spiky markets/timeframes, it prefers outlier-resistant math automatically for steadier signals.
Optional HTF gate: You can require higher-timeframe agreement for oscillator alerts without changing visuals.
Quick start (simple playbook)
Run As
Overlay for structure: assess trend direction, where value is (the cloud), and whether chop guard is active.
Oscillator for timing: move to a subpane to see Stretch-Z, Slope-Z, VPO, and ±2 bands clearly.
Profile
Scalp (1–5m), Intraday (15–60m), or Swing (4H–1D). CCSV1 adjusts length/clip/pressure windows accordingly.
Overlay entries
Trade with CoRa color.
Prefer pullbacks into/through the cloud (trend direction).
If chop guard is active, wait; let the market “breathe” before engaging.
Oscillator timing
Look for Funded Flips: Slope-Z crossing 0 in the direction of VPO (i.e., momentum + funded pressure).
Use ±2 bands to manage risk: stretched conditions can stall or revert—better to scale or wait for a clean reset.
Optional HTF gate
Enable to green-light only those oscillator alerts that align with your chosen higher timeframe.
What each signal means (plain language)
CoRa turns green/red (Overlay): trend bias shift on your chart.
Cloud width tilts asymmetrically: one side (buyers/sellers) is dominating; extensions on that side are more likely.
Stretch-Z near 0: fair value around CoRa; pullback timing zone.
Stretch-Z > +2 / < −2: extended; watch for slowing momentum or scale decisions.
Slope-Z cross up/down: new impulse starting; combine with VPO sign to avoid unfunded crosses.
VPO positive/negative: net buying/selling pressure funding the move.
Alerts included
Overlay
Pullback Long OK
Pullback Short OK
Oscillator
Funded Flip Up / Funded Flip Down (Slope-Z crosses 0 with VPO agreement)
Pullback Long Ready / Pullback Short Ready (near equilibrium with aligned momentum and pressure)
Exhaustion Risk (Long/Short) (Stretch-Z beyond ±2 with weakening momentum or pressure)
Tip: Keep chart alerts concise and use strategy rules (TP/SL/filters) in your trade plan.
Best practices
One glance workflow
Read Overlay for direction + value.
Use Oscillator for trigger + confirmation.
Pairing
Combine with S/R or your preferred execution framework (e.g., your JopAlgo setups).
The suite is neutral: it won’t force trades; it highlights context and quality.
Markets
Works on crypto, indices, FX, and commodities.
Where real volume is available, VPO is strongest; on synthetic volume, treat VPO as a soft filter.
Timeframes
Use the Profile preset closest to your style; feel free to fine-tune later.
For multi-TF trading, enable the HTF gate on the oscillator alerts only.
Inputs you’ll actually use (the rest can stay on Auto)
Run As: Overlay or Oscillator.
Profile: Scalp / Intraday / Swing.
Oscillator Render: “Subpane (raw)” for a classic panel; “Inline (overlay)” only for a quick preview.
HTF gate (optional): require higher-timeframe Slope-Z agreement for oscillator alerts.
Everything else ships with sensible defaults and auto-logic.
Limitations & tips
Not a strategy: CCSV1 is a decision support tool; you still need your entry/exit rules and risk management.
Non-repainting design: Signals finalize on bar close; intrabar graphics can adjust during the bar (Pine standard).
Very flat sessions: If price and volume are extremely quiet, expect fewer alerts; that restraint is intentional.
Who is this for?
Beginners who want one clean overlay for structure and one simple oscillator for timing—without wrestling settings.
Intermediates seeking a coherent trend/pressure framework with HTF confirmation.
Advanced users who appreciate robust stats and clean engineering behind the visuals.
Disclaimer: Educational purposes only. Not financial advice. Trading involves risk. Use at your own discretion.
RSI Trendline Pro - Multi Confirmation
Overview
RSI Trendline Pro is an advanced Pine Script indicator that automatically draws trendlines on the RSI (Relative Strength Index) to detect support and resistance breakouts. It generates high-quality trading signals through a multi-confirmation system.
Key Features
Auto Trendlines: Detects pivot points on RSI to create intelligent support and resistance lines
Multi-Confirmation System: Combines Volume, Stochastic RSI, ADX, and Divergence filters to reduce false signals
RSI Divergence Detection: Automatically identifies bullish/bearish divergences between price and RSI
Live Dashboard: Displays RSI value, active trendlines, ADX strength, and last signal info on a visual panel
Smart Breakout Detection: Identifies trendline breaks and generates LONG/SHORT signals
How to Use
Add to TradingView: Paste code into Pine Editor and add to chart
Configure Parameters:
RSI Length: RSI period (default: 14)
Pivot Strength: Trendline sensitivity (lower = more lines)
Filters: Enable/disable Volume, Divergence, Stoch RSI, and ADX confirmations
Follow Signals:
LONG (Green): When RSI breaks resistance upward
SHORT (Red): When RSI breaks support downward
Divergence: "D" markers indicate potential trend reversals
Alert Setup
Script offers 4 alert types:
LONG Breakout: Resistance break
SHORT Breakout: Support break
Bullish/Bearish Divergence: Divergence detection
Any Signal: Combined alert for all signals
Best Practices
Prioritize high-volume breakouts (Volume Filter enabled)
Trends are stronger when ADX > 25
Confirm divergence signals with price action
Trade when 2-3 confirmations align
🏆 AG Pro Crypto Screener & Signal Dashboard v2.7🏆 AG Pro Multi-Crypto Screener & Signal Dashboard (Completely Free)
Stop wasting your valuable time navigating dozens of charts just to find opportunities!
This completely free and professional signal dashboard scans up to 40 Crypto, Stock, or Forex assets for you from a single screen. The AG Pro Screener is designed for traders who need to make fast, informed decisions. It monitors the market 24/7, identifies 'Buy' signals based on its robust multi-filter strategy, and presents all opportunities on a professional "at-a-glance" interface.
This is not just another indicator; it's a complete Crypto Screener and Signal Panel designed for professional traders.
AG Pro Kripto Tarayıcı ve Sinyal Paneli (Multi-Crypto Screener & Signal Dashboard)
✨ Compelling Features (All 100% Free)
Advanced Dashboard Design: A best-in-class professional table with "Zebra Stripes" for easy reading, a custom-branded title bar, and a compact layout.
Multi-Symbol Scanning: Scans up to 40 different user-defined assets (Coins, Stocks, etc.) simultaneously.
Advanced Multi-Filter Strategy (All Toggleable):
Trend Filter (SMA 200): Capture only strong signals that are aligned with the main trend.
Momentum Filter (RSI): Increase your success rate by confirming signals with relative strength (e.g., RSI > 50).
Entry Signal (EMA Crossover): The core 'Buy' signal based on a fast/slow EMA cross (e.g., 20/50).
Volume Filter: Automatically filter out low-volume, illiquid, and risky assets from your signal list.
"At-a-Glance" Visual Icons: This dashboard doesn't just give signals; it shows you the quality of the signal:
Trend Column: 🔼 (Uptrend) or 🔽 (Downtrend) icons instantly show if the signal is "with the trend."
Signal Freshness Column: Special icons show how "fresh" the signal is:
🔥 (Hot): 0-3 bars ago (A new opportunity!)
❇️ (Fresh): 4-7 bars ago
⏳ (Old): 8+ bars ago (Signal may be stale)
Fully Customizable Interface:
Adjustable Text Size: Choose your own font size (Tiny, Small, Normal) to perfectly fit the table to your screen.
Selectable Timeframe: Scan your current "Chart" timeframe, or lock the panel to a specific timeframe (e.g., "4H" or "1D").
Powerful Alert Support: Set up just one single alert to receive instant notifications for all new 'Buy' signals found across all 40 assets. Perfect for strategy automation and bot setups.
⚙️ How to Use
Add this indicator (AG Pro Screener) to your chart.
Open the Settings (⚙️) panel for the script.
In the "Symbol List" section, fill the 40 empty slots with your favorite assets (e.g., BINANCE:BTCUSDT, BINANCE:ETHUSDT, NASDAQ:AAPL, etc.).
In the "Strategy Settings" section, customize your filters like EMA lengths and RSI levels to match your personal system.
Watch the dashboard scan the market for you and deliver signals in real-time!
🙏 Support & Feedback (Don't Forget to Like!)
A lot of effort went into developing this free tool. If you find it helpful, please take one second to click the Like (👍) button and Follow me for the next scripts in the "AG Pro" series.
You can leave all your suggestions and new feature requests as a comment. Happy trading!
VWDF Oscillator + Highlight + Targetsai generated measures volume, delta and its weighted. significant candles are displayed
Smart Moving Average Dynamics [Chart Nation]Smart Moving Average Dynamics (SMAD) — by Chart Nation 
 What it does: 
SMAD maps how far price deviates from a chosen moving average and normalizes that distance into a bounded oscillator (−100…+100). It detects extreme expansions and prints non-repainting dots when the move exits an extreme. Price-level rails are drawn from those events (with optional fade/expiry) to highlight likely reaction zones. The MA line is colored by bias. A slim gauge summarizes the current oscillator percentile; a compact info panel shows TF, Trend, Volume rank, and Volatility rank.
 How it works (high-level, closed-source) 
 Core signal:  diff = price – MA(type, length) where MA can be SMA/EMA/RMA/WMA/VWMA.
 Normalization (choose one): 
 
 Highest Abs (N): scales diff by the highest absolute excursion over N bars (fast, adaptive).
 Z-Score: scales by stdev(diff, N) and maps ±σ to ±100 via a user factor.
 ATR-Scaled: scales by ATR * k, relating deviation to current volatility.
 
 Percent Rank:  ranks the magnitude of |diff| over N bars and reapplies the original sign.
All methods clamp to −100…+100 to keep visuals consistent across assets/TFs.
 Extremes & confirmation:  Dots print only when an extreme exits ±100 (optionally on bar close) and can be filtered by linger bars and short-term slope flip, reducing one-bar spikes.
 Rails:  When an extreme confirms, a rail is anchored at the corresponding price swing and can soft-fade and/or expire after X bars.
 Trend color:  MA color = Up (green) when oscillator > threshold and MA slope > 0; Down (magenta) for the opposite; Neutral otherwise.
 Context panels: 
 Slim Gauge:  current oscillator bucket (0–20) with the exact normalized reading.
 Info Panel:  TF, Trend, and 0–100 percent-ranks of Volume and ATR-based volatility grouped as Low / Medium / High.
SMAD isn’t a collection of plots; it’s a single framework that integrates:
 
 a deviation-from-MA engine,
 four interchangeable normalization models (selected per market regime),
 a gated extreme detector (linger + slope + confirm-on-close), and
 time-aware rails with soft fade/expiry, presented with a minimal gauge and info panel so traders can compare regimes across TFs without recalibrating thresholds.
 
 How to use (examples, not signals) 
 
 Mean-revert plays:  When price exits an extreme and prints a dot, look for reactions near the new rail. Combine with your S/R and risk model.
 Trend continuation:  In strong trends the oscillator will spend more time above/below zero; the colored MA helps keep you aligned and avoid fading every push.
 Regime switching:  Try Percent Rank or ATR-Scaled on choppy/alts; Z-Score on majors; Highest Abs (N) when you want fastest adaptation.
 Risk ideas:  Rails can be used as partial-take or invalidate levels. Always backtest on your pair/TF.
 
 Key settings 
 
 Normalization: Highest Abs / Z-Score / ATR-Scaled / Percent Rank (with N & factors).
 Filters: Extreme threshold, linger bars, slope lookback, confirm on close.
 Rails: Expire after X bars; soft-fade step.
 Panels: Slim gauge (bottom-right), Info panel (middle-right).
 
Notes & limits
Prints confirm after the extreme exits ±100; nothing repaints retroactively.
Normalization can change sensitivity—choose the one matching your asset’s regime.
NSR Dynamic Channel - HTF + ReversionNSR Dynamic Channel  – HTF Volatility + Reversion 
 (Beginner-friendly, pro-grade, non-repainting) 
The  NSR Dynamic Channel  builds an adaptive volatility envelope that compares current price action to a statistically-derived “expected” range pulled from a user-selected higher timeframe (HTF).
 Is this just another keltner variation? 
 In short: Keltner reacts. NSR anticipates. 
Keltner says “price moved a lot.”
NSR says “this move is abnormal compared to the last 2 days on a higher timeframe — and here’s the probability it snaps back.”
The channel is  not  a simple multiple of recent ATR or standard deviation; instead it:
 
 Samples HTF volatility  over a rolling window (default: last 2 days on the chosen HTF).
 
 Expected Range
 HTF Volatility Spread  = StDev of 1-bar ATR on the HTF
 
 
 Scales this HTF range  to the current chart’s volatility using a  compression ratio :
 compRatio = SMA(High-Low over lookback) / Expected Range 
This makes the channel  tighten in low-vol regimes  and  widen in high-vol regimes .
 Centers the channel  on a composite mean ( AVGMEAN ) calculated from:
 
 Smoothed Adaptive Averages of the current timeframe close
 SMA of close over the user-defined lookback ( Slow )
 
The three means are averaged to reduce lag and noise.
 Draws two layers :
 
 HTF Expected Channel  (gray fill) = PAMEAN ± expectedD
 Dynamic Expected Band  (inner gray) = HTF Expected Range
 
 Adds a fast 2σ envelope  around AVGMEAN using the standard deviation of close over the lookback period.
 
 Core Calculations (Conceptual Overview) 
 
 HTF Baseline  → ATR on user HTF → SMA & StDev over a defined number of days
 Compression Ratio  → Normalizes current range to HTF “normal” volatility
 Expected Band Width  →  Expected Range × CompressionRatio 
 Bias Detection  → % change of composite mean over 2 bars → “bullish” / “bearish” filter
 Overextension %  → Position of price within the expected band (0–100%)
 
 How to Use It (3 Steps) 
 
 Apply to any chart  – defaults work on futures (NQ/ES), stocks (SPY), crypto (BTC), forex, etc.
 
 Price is outside  both  the fast 2σ envelope  and  the HTF-scaled expected band
 Expect some sort of reversion 
 
 Enable alerts  – two built-in conditions:
 
 NSR Exit Long – bullish bias + high crosses upper expected edge
 NSR Exit Short – bearish bias + low crosses lower expected edge
 
 
 Optional toggles :
 
 Show 2σ Price Range → fast overextension lines
 Expected Channel → HTF-based gray fill
 Mean →  MEAN centerline
 
 Why It Works 
 
 Context-aware : Uses HTF “normal” volatility as anchor
 Adaptive : Shrinks in consolidation, expands in breakouts
 Filtered signals : Only triggers when  both statistical layers agree 
 Non-repainting : All calculations use confirmed bars
 
 Happy trading! 
 nsrgroup
RSI + MFIRSI and MFI combined, width gradient fields if OS or OB, shows divergences separate for wicks and bodies, shows dots when mfi and rsi oversold at the same time. 
RSI + Elder Bull-Bear pressure RSI + Bull/Bear (Elder-Ray enhanced RSI) 
 What it is 
An extended RSI that overlays Elder-Ray Bull/Bear Power on the same, zero-centered scale. You get classic RSI regime cues plus a live read of buy/sell pressure, with optional smoothing, bands, and right-edge value labels.
 Key features 
RSI with bands – default bands 30 / 50 / 70 (editable).
Bull/Bear Power (Elder) – ATR-normalized; optional EMA/SMA/RMA/HMA smoothing.
One-pane overlay – RSI and Bull/Bear share a common midline (RSI-50 ↔ panel 0).
Right-edge labels – always visible at the chart’s right margin with adjustable offsets.
 How to read it 
Cyan line = RSI (normalized)
Above the mid band = bullish regime; below = bearish regime.
Green = Bull Power, Red = Bear Power
Columns/lines above 0 show buy pressure; below 0 show sell pressure.
Smoothing reduces noise; zero-line remains your key reference.
 Trade logic (simple playbook)
Entry 
BUY (primary):
RSI crosses up through 50 (regime turns bullish), and
Bull (green) crosses up through 0 (buy pressure confirms).
SELL (primary):
RSI crosses down through 50, and
Bear (red) crosses down through 0 (sell pressure confirms).
 Alternative momentum entries 
Aggressive BUY: Bull (green) pushes above RSI-80 band (strong upside impulse).
Aggressive SELL: Bear (red) pushes below RSI-30 band (strong downside impulse).
 Exits / trade management 
In a long: consider exiting or tightening stops if Bear (red) dips below the 0 line (rising sell pressure) or RSI loses 50.
In a short: consider exiting or tightening if Bull (green) rises above 0 or RSI reclaims 50.
Tip: “0” on the panel is your pressure zero-line (maps to RSI-50). Most whipsaws happen near this line; smoothing (e.g., EMA 21) helps.
 Defaults (on first load) 
RSI bands: 30 / 50 / 70 with subtle fills.
Labels: tiny, pushed far right (large offsets).
Bull/Bear smoothing: EMA(21), smoothed line plot mode.
RSI plotted normalized so it overlaps the pressure lines cleanly.
Tighten or loosen the Bull/Bear thresholds (e.g., Bull ≥ +0.5 ATR, Bear ≤ −0.5 ATR) to demand stronger confirmation.
 Settings that matter 
Smoothing length/type – balances responsiveness vs. noise.
Power/RSI Gain – visual scaling only (doesn’t change logic).
Band placement – keep raw 30/50/80 or switch to “distance from 50” if you prefer symmetric spacing.
Label offsets – move values clear of the last bar/scale clutter.
 Good practices 
Combine with structure/ATR stops (e.g., 1–1.5× ATR, swing high/low).
In trends, hold while RSI stays above/below 50 and the opposite pressure line doesn’t dominate.
In ranges, favor signals occurring near the mid band and take profits at the opposite band.
Disclaimer: This is a research/visual tool, not financial advice at any kind. Test your rules on multiple markets/timeframes and size positions responsibly.
Maxtra Reversal Range Breakout StrategyReversal Range Breakout Strategy
This strategy uses the first candle as a directional filter. If the first candle is green, it anticipates a potential reversal and takes sell trades only. If the first candle is red, it looks for buy opportunities. The logic is to trade against the initial move, expecting a reversal after the early breakout or momentum spike.
Smart Divergence Engine Overlay [ChartNation]Clean, candle-anchored RSI/price divergences—right on your chart. 
This overlay draws clear connector lines and optional BUY/SELL tags wherever price makes a  Lower Low with RSI Higher Low (bullish)  or  Higher High with RSI Lower High (bearish).  Everything is anchored to the actual pivot candles, so it scales and sticks as you zoom and pan.
 How it works 
 
 Uses RSI (14) smoothed by RMA(2) with a volatility band framework (SMA 34, stdev × 1.618).
 Confirms price pivots with Pivot Left/Right (defaults 10/10) and evaluates RSI at the pivot bar.
 On confirmation, the script draws a line between the two pivots and (optionally) prints a compact BUY/SELL label at the second pivot.
 
 Inputs 
 
 Price Source, RSI Length, Band Length & Multiplier
 Overbought / Oversold levels
 Pivot Left / Right (controls confirmation strictness)
 Visuals: Show Lines, Show Labels, Line Width, Bull/Bear Colors
 
 Alerts 
 
 Bullish Divergence (Overlay)
 Bearish Divergence (Overlay)
 
Alerts trigger when a divergence confirms (after the pivot is formed), matching what you see on the chart.
 Tips 
 
 Works on any symbol or timeframe.
 Best used with structure/levels, volume, and higher-timeframe context for confluence.
 For a panel view of RSI and bands, pair this overlay with your preferred RSI panel.
MTF-IndSunTab V1This is just an indicator in tabular form which picks the inputs from different indicators and presents them in tabular form as ready reckoner.
RSI Optimized + 200MA FilterRSI Optimized + 200MA Filter with RSI, Williams %R, and QQE
This indicator combines multiple momentum and trend analysis tools to identify high-probability trade setups.
It includes:
	•	RSI (Relative Strength Index) optimized for short-term and swing trading signals.
	•	200-period Moving Average Filter to determine long-term trend bias — trades are filtered based on whether price is above or below the 200MA.
	•	Williams %R for identifying overbought and oversold zones more responsively than RSI.
	•	QQE (Quantitative Qualitative Estimation) for smoothing RSI and confirming momentum strength.
Usage:
	•	Buy signals appear when RSI and QQE indicate upward momentum above the 200MA trend line.
	•	Sell signals appear when momentum weakens below 200MA or when RSI/Williams %R reach overbought extremes.
	•	The indicator can be applied to any asset or timeframe but performs best on 1H–4H charts.
Category: Relative Strength Indicators
Recommended for: Momentum traders, swing traders, and algorithmic strategy developers.
FTI - AnalyticaFlow Trend Index (FTI) – Analytica 
The Flow Trend Index (FTI) – Analytica combines momentum, trend, and volatility into a data-driven analytical view —  displayed directly on your chart and candlesticks. 
It builds on the FTI-Core foundation by revealing the numerical values behind each visual element — turning market flow,  into measurable insight.
Analytica shows how strongly the market is moving (flow), where its adaptive baseline lies (trend), and how far price has stretched from equilibrium (volatility).
This deeper layer helps analysts interpret when the market is gaining strength, losing momentum, or shifting direction, and especially when conditions are overbought or oversold.
 • Smoothed RSI (Heikin-Ashi Powered) 
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Transforms RSI into color-coded candles with visible RSI values.
Heikin-Ashi smoothing filters noise, exposing authentic momentum and exhaustion levels.
-See and measure momentum simultaneously.
 • McGinley Dynamic Line 
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Adaptive moving average that adjusts speed to market volatility.
In Analytica, you can view the exact McGinley value and Δ % distance from price, providing a real-time sense of stretch or compression.
→ Quantifies rhythm between trend and pause.
 • FIBB Cloud (Fibonacci ATR Bands) 
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• Analytical Enhancements
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 RSI Number Overlay on each candle (live values) 
 Analytical Table showing RSI · McGinley · Δ % vs McGinley 
 Custom Advanced RSI Ranges for precise zone control 
 Adjustable themes, text size, and line style 
 See it. Measure it. Understand it. 
 
 In short: 
FTI-Analytica merges visual flow and analytical depth.
It reveals the true numerical forces behind each move —
FTI – Analytica shows the true numerical information behind each Data point.
No signals or alerts are generated — the indicator is intended solely for visualization, study, and educational purposes.
© Zyro Trades. All rights reserved.
Zyro™ and FTI™ are unregistered trademarks of Zyro Trades.
True Range(TR) + Average True Range (ATR) COMBINEDThis indicator combines True Range (TR) and Average True Range (ATR) into a single panel for a clearer understanding of price volatility.
True Range (TR) measures the absolute price movement between highs, lows, and previous closes — showing raw, unsmoothed volatility.
Average True Range (ATR) is a moving average of the True Range, providing a smoother, more stable volatility signal.
📊 Usage Tips:
High TR/ATR values indicate strong price movement or volatility expansion.
Low values suggest compression or a potential volatility breakout zone.
Can be used for stop-loss placement, volatility filters, or trend strength confirmation.
⚙️ Features:
Multiple smoothing methods: RMA, SMA, EMA, WMA.
Adjustable ATR length.
Separate colored plots for TR (yellow) and ATR (red).
Works across all timeframes and instruments.
FTI - CoreFlow Trend Index (FTI) - Core 
The Flow Trend Index (FTI) combines momentum, trend, and volatility into a single adaptive visual layer.
It measures how strongly the market is moving (flow), where its fair-value baseline lies (trend), and showing signs of exhaustion.
This unified view helps analysts — especially beginners — instantly recognize when the market is gaining strength, losing momentum, or shifting direction, and especially when conditions are overbought or oversold.
 - Smoothed RSI (Heikin-Ashi Powered) 
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Transforms RSI into color-coded candles. Heikin-Ashi smoothing filters noise, revealing true momentum waves and exhaustion points — less lag, more authenticity.
→ See momentum, not just numbers.
 - McGinley Dynamic Line 
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An adaptive moving average that breathes with market speed — faster in rallies, slower in chop. Zyro’s version is tuned for volatile assets like BTC or NAS100.
→ Tracks rhythm between trend and pause.
 - FIBB Cloud (Fibonacci ATR Bands) 
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Volatility envelope built from ATR × Fibonacci ratios. Expands and contracts with real market energy, mapping zones of pressure and release.
→ Shows where price stretches or resets.
 In short: 
FTI-Core visualizes market flow — blending momentum, trend, and volatility into one adaptive system.
No signals or alerts are generated — the indicator is intended solely for visualization, study, and educational purposes.
© Zyro Trades. All rights reserved.
Zyro™ and FTI™ are unregistered trademarks of Zyro Trades.
APXTradez - Intraday RSI (8)🔹 APXTradez Intraday RSI (8) 
 Purpose: 
A fast-reacting momentum and bias indicator built for intraday options and scalping setups. This version of RSI (8) identifies immediate shifts in strength, momentum slope, and trend bias—allowing traders to spot reversals, momentum builds, or choppy zones within seconds.
 What It Shows 
RSI (8) → ultra-responsive short-term strength indicator.
 Bias Zones: 
- Bull Bias (Green) – RSI rising above 55 with slope up → intraday long setups favored.
- Bear Bias (Red) – RSI falling below 45 with slope down → short setups favored.
- Chop (Gray) – Neutral area between 45–55 → reduced edge, wait for direction.
- Background Color: Highlights current bias (green/red/gray) for quick visual confirmation.
- Dynamic Label: Displays live bias text on chart (Bull, Bear, or Chop).
 How to Use 
Apply on 1m–15m charts for day trading or scalping options.
 Trade in bias direction: 
- Enter long when RSI crosses + slopes above 55 (bull bias).
- Enter short when RSI crosses + slopes below 45 (bear bias).
- Avoid chop zones (RSI between 45–55 or flat). Wait for a slope confirmation.
Combine with APX Intraday VWAP + EMA overlay, APX TTM Squeeze, and/or the APX MACD to align direction with trend and volume pressure.
Overbought/Oversold: Above 70 or below 30 still mark exhaustion zones — use for exits, not entries.
Best Use Case
Intraday confirmation of trend bias and momentum strength — helping you stay on the right side of fast-moving setups and avoid low-edge chop.
APXTradez - MACD🔹 APXTradez MACD — Summary & Usage Guide 
Purpose
- The APXTradez MACD measures momentum shifts and trend reversals using exponential moving averages (EMAs).
- It helps you see when momentum changes direction before price fully reacts — perfect for catching early entries or confirming strength behind a move.
 Core Components 
- MACD Line (Aqua / Orange)
- Calculated as the difference between the 12 EMA and 26 EMA.
- Shows short-term vs. long-term momentum.
- Aqua: Fast EMA above slow EMA → bullish momentum building.
- Orange: Fast EMA below slow EMA → bearish momentum dominating.
- Signal Line (Blue)
- A 9-EMA of the MACD line that smooths the momentum swings.
When the MACD Line crosses above it → bullish crossover.
When the MACD Line crosses below it → bearish crossover.
-Histogram (Green/Red Columns)
Represents the distance between the MACD Line and Signal Line.
Lime = Bullish momentum expanding.
Faded Lime = Bullish momentum fading.
Red = Bearish momentum expanding.
Faded Red = Bearish momentum fading.
 The histogram visually shows when momentum is increasing or losing strength. 
-Zero Line
Center baseline separating bullish (above) and bearish (below) momentum.
Crosses through zero often mark early trend reversals.
 How to Use It 
 1️⃣ Identify Trend Direction 
- MACD Line above Signal Line & Histogram above Zero:
→ Bullish momentum. Confirms uptrend or call-side bias.
- MACD Line below Signal Line & Histogram below Zero:
→ Bearish momentum. Confirms downtrend or put-side bias.
 2️⃣ Spot Momentum Shifts (Crossovers) 
- Bullish Crossover:
MACD (Aqua) crosses above Signal (Blue).
→ Potential start of new upward leg or reversal.
- Bearish Crossover:
MACD (Orange) crosses below Signal (Blue).
→ Possible start of new downward leg.
 These are your “momentum pivot” moments — strongest when aligned with a squeeze fire or RSI midline cross. 
 3️⃣ Read Momentum Strength (Histogram) 
- Growing Lime bars → momentum accelerating upward.
- Shrinking Lime bars → bullish side fading.
- Growing Red bars → bearish momentum accelerating.
- Shrinking Red bars → bearish side weakening.
 When you see histogram bars shrink or color fade, it often signals a pause or pullback before a potential flip. 
 4️⃣ Combine with APX Squeeze & RSI 
- MACD crosses up + TTM Squeeze fires + RSI > 50 → powerful bullish swing signal.
- MACD crosses down + Squeeze fires down + RSI < 50 → strong bearish setup.
 This triple-stack alignment confirms momentum, volatility, and sentiment all pointing in one direction. 
- The APXTradez MACD is your momentum confirmation tool.
- It helps you visually see when momentum flips, builds, or fades, giving you precise entry timing inside larger swing or intraday setups.
- Used with the APX RSI and APX TTM Squeeze, it forms one of the three core pillars of the APX Momentum Framework — confirming when volatility, strength, and direction all align.
APXTradez - Swing RSI🔹 APXTradez Swing RSI — Summary & Usage Guide
 Purpose 
- The APXTradez Swing RSI measures momentum strength and exhaustion in a stock’s price movement.
- It tells you when price is overextended, balanced, or reversing, helping you time entries, exits, and confirmation on swing trades.
 This version is tuned for clean visual momentum tracking during 2-to-5-day swings or multi-week trends. 
 Core Components 
-RSI (14-period)
- Uses a standard 14-bar calculation on the closing price (or whichever source you choose).
- Ranges between 0 and 100, showing how strong the recent price push has been.
- Smooth enough for swing trading; reactive enough to catch early turns.
 - Color-Coded RSI Line 
White = Neutral zone (healthy price action).
Lime = Oversold (< 30) → buying opportunity or short-covering zone.
Red = Overbought (> 70) → profit-taking or potential pullback zone.
Color shifts automatically as RSI crosses key thresholds, so you see sentiment flips instantly.
 Horizontal Levels 
70 = Overbought (red dashed line)
30 = Oversold (lime dashed line)
50 = Midline (gray dotted line, optional toggle)
These levels frame the RSI’s “zones of strength.”
 How to Use It 
 1️⃣ Identify Momentum Regime 
-Above 50 → Bullish Bias
Momentum favors buyers. Use this to confirm call or long positions.
- Below 50 → Bearish Bias
Momentum favors sellers. Confirms put or short setups.
- The 50 midline is your “momentum compass.”
Crosses above or below often precede trend reversals.
 2️⃣ Spot Extremes (30 / 70 Zones) 
 RSI > 70 = Overbought 
Price is stretched; risk of pullback or short-term cooling.
→ Good area to trim longs or watch for reversal candles.
 RSI < 30 = Oversold 
Price is washed out; potential bounce forming.
→ Good area to look for bullish reversal + volume confirmation.
 3️⃣ Combine with APX TTM Squeeze and Overlay 
- When RSI > 50 and rising + TTM histogram bright teal + Squeeze fires black dot up → high-probability long swing.
- When RSI < 50 and falling + TTM histogram bright yellow + Squeeze fires down → high-probability short swing.
- When RSI flat around 50 → trendless; wait for compression + momentum confirmation.
 4️⃣ Divergences (Advanced Use) 
-  Bullish Divergence:  Price makes a lower low, RSI makes a higher low → momentum turning up before price.
-  Bearish Divergence:  Price makes a higher high, RSI makes a lower high → momentum weakening.
- These signals are strongest when combined with a Squeeze firing or EMA crossover from your Swing Overlay.
 Best Timeframes 
Daily / 4-Hour: Ideal for swing entries and momentum tracking.
1-Hour: For fine-tuning entries inside larger setups.
- The APXTradez Swing RSI gives you a clean, visual read on who controls momentum and when that strength is fading or reversing.
- It’s not meant to predict exact tops or bottoms — it’s a confirmation and rhythm tool:
Use the 50-line for trend bias.
Use 30/70 for exhaustion.
Use color shifts for quick sentiment reads.
Combine with your APX Squeeze and Overlay for the complete swing-timing system.






















