Mine Shaft + Drift + Ore Pocket Detector (Gap+Touch)Mine Shaft + Drift + Ore Pocket Detector (Gap+Touch) — Full Description (v1.6.1, Pine v6)
*Experimental - *Test Phase*
1) What this indicator is intended to do
This indicator attempts to algorithmically discover “mine shaft” price structure on a chart by:
Collecting structural anchor points (gaps and optionally pivots),
Generating candidate trend “rails” (centerline + parallel upper/lower borders) from pairs of anchors,
Fitting an optimal channel width around each candidate centerline,
Scoring candidates based on how well price action conforms to the channel (touches + containment),
Selecting and rendering:
the main shaft channel (primary),
additional drifts (secondary shafts per direction),
And then detecting Ore Pockets: time locations where multiple selected lines intersect (time confluence / intersection clustering).
The conceptual model is:
A shaft = a best-fit channel that price respects over time (the “main tunnel”).
Drifts = alternate channels close in quality to the main shaft (secondary tunnels).
Ore pockets = future/past time coordinates where multiple channels’ centerlines intersect densely (confluence in time, not necessarily in price).
2) What it is doing right now (current behavior)
In its current form, the script does a bounded, performance-limited scan:
It stores a limited number of anchor points in arrays.
It only considers a bounded number of recent anchors per direction.
It constructs candidate lines from anchor pairs and evaluates channel fitness using sampled bars.
On the last bar, it selects top candidates per direction and draws:
a “main” channel per mode (single best overall, or separate up/down),
plus optional drift channels,
plus ore pocket markers.
It is producing meaningful channels and drifts, but it is currently more likely to lock onto a strong “local” shaft than the one macro shaft spanning the entire market structure.
3) Core mechanics (how the script finds shafts)
3.1 Anchor generation (what points it uses)
Anchors are the “support points” used to build candidate shaft centerlines.
Two anchor families are supported:
A) Gap anchors (from your selected gap mode)
These attempt to capture “displacement events” and their boundaries/mids.
B) Pivot anchors (optional structural anchors)
These use pivots to inject macro structure points that are not strictly gap-based.
All anchors are stored as:
anchorX: bar_index of anchor
anchorY: price of anchor
anchorD: direction flag (+1 for up, -1 for down)
Anchors are capped by maxAnchors with FIFO trimming.
3.2 Candidate generation (how it produces centerlines)
For each direction (+1 and -1):
Collect “recent” anchors of that direction within lookbackBars (bounded to maxDirAnchors).
For each pair of anchors (x1,y1) and (x2,y2) that satisfy:
spacing within ,
slope sign consistent with direction,
Construct the line equation:
slope m and intercept b
Fit a channel width w around that line (via width mode).
Score it (touches + inside count minus width penalty).
Keep the top K rails (K = driftCount+1 typically).
3.3 Scoring model (what “best” means right now)
For a candidate centerline:
At sampled bars (stride sampling), compute:
channel top = y(x) + w
channel bot = y(x) - w
Evaluate:
Inside: candle range fits within the channel ± tolerance
Touches: high near top border, low near bottom border (within tolerance)
Score formula:
score = insideCount * insideWeight
+ touchCount * touchWeight
- (w / ATR) * widthPenalty
So:
Higher inside and touch counts increase score
Wider channels are penalized (in ATR units) to avoid “cheating” via enormous width
3.4 Width fitting (how the channel thickness is chosen)
Width is either:
Fit (scan widths): scans widths between a min width and a max deviation cap and selects the best scoring width.
Fixed ATR Envelope: uses a fixed width derived from ATR (currently hard-coded to a 2.0 ATR envelope in your present draft).
Fixed Max Deviation: width is max observed deviation from line in sampled window.
This matters because “macro shaft” detection is strongly influenced by whether the width-fitting is allowed to expand enough to contain large historical moves, without being penalized into losing to a smaller local shaft.
3.5 Rendering (what gets drawn)
For any selected rail, it draws:
Upper border line (top rail)
Lower border line (bottom rail)
Optional centerline (main only)
Optional fill between borders (main only)
Label at current bar with touches and inside count
Drifts render similarly but without main-only features (depending on flags).
3.6 Ore Pocket detection (time confluence)
Ore pockets are not “price zones” directly.
They are computed as follows:
Collect selected centerlines (m,b) for:
the main selected shaft(s),
and all drift centerlines (both directions if present)
For each pair of selected lines, compute intersection x-coordinate:
x* = (b2 - b1) / (m1 - m2)
Only keep intersections within:
Cluster intersections by time proximity (clusterBars)
Mark the strongest clusters (highest counts) as “Ore Pocket” vertical dotted lines with labels.
Interpretation:
A dense cluster indicates many selected rails converge around a similar time coordinate.
It is a “time confluence” hypothesis point.
4) Full settings reference (what each setting is for)
01) Gap Anchors
Gap Mode
FVG (3-candle)
Uses a classic 3-candle fair value gap pattern:
Up gap if low > high
Down gap if high < low
Anchors are derived from the gap boundaries.
Candle Gap (open-close)
Gap based on open vs close of the same bar with a tick threshold.
Candle Gap (open-prev close)
Gap based on open vs close with a tick threshold.
Gap Threshold (ticks)
Only used for the candle gap modes.
Controls the minimum gap size required to register an anchor.
Anchor Price
Boundary: anchors at one gap boundary (more “structural edge”)
Mid: anchors at midpoint of the gap (more “center of displacement”)
Include Pivot Anchors (structure)
When enabled, adds pivots as additional anchors to stabilize macro detection.
Pivot Length
Pivot sensitivity (how many bars left/right define a pivot).
Larger values = fewer, more structural pivots.
02) Channel Fit + Touch Scoring
Lookback Bars
The historical window used to:
filter which anchors are considered “recent enough”
evaluate channel fitness (sampled evaluation)
Larger lookback tends to favor macro shafts, but also increases computational risk (mitigated by evalBars and stride).
ATR Length
ATR period used for tolerance and width penalty scaling.
Tolerance (ATR mult)
Defines how close price must be to a rail to count as “touch” and how strict the “inside channel” containment is.
Higher tolerance = easier to score high on touch/inside.
Min Border Touches (keep rail)
Minimum number of border touches required before a candidate is even eligible.
Score: Inside Weight
Weight of inside count in score.
Score: Border Touch Weight
Weight of border touches in score.
This is a strong driver of “shaft-like” behavior.
Score: Width Penalty (in ATRs)
Penalizes wide channels relative to ATR.
Higher penalty biases toward narrow/local shafts.
03) Performance Controls
Max Stored Anchors (global)
Maximum anchor points kept in memory arrays.
Too low can cause loss of macro structure; too high increases candidate noise.
Max Anchors / Direction (scan)
Hard cap on how many anchors are used in candidate generation per direction.
Critical: this strongly influences whether macro shaft can be found, because if you only keep the most recent anchors, you lose the early-structure anchor points.
Eval Bars (max)
Maximum historical bars actually evaluated for scoring.
Even if lookbackBars is large, evaluation is capped here.
Eval Stride (sample every N bars)
Sampling step for evaluation.
Larger stride = faster but less accurate scoring.
04) Candidate Generation
Min Anchor Spacing (bars)
Minimum distance between the two anchors used to define a candidate line.
Prevents micro-noise lines from being evaluated.
Max Anchor Spacing (bars)
Maximum distance between the two anchors used to define a candidate line.
If this is too low, you cannot generate truly macro candidate lines.
05) Shaft + Drift Display
Main Shaft Mode
Best Overall (Single Shaft): chooses one best rail among Up/Down and draws it as main.
Up Only: show only the best upward rail.
Down Only: show only the best downward rail.
Up + Down: show both main up rail and main down rail simultaneously.
Show Ascending Shaft
Toggles rendering for the “up” main shaft (when mode allows it).
Show Descending Shaft
Toggles rendering for the “down” main shaft (when mode allows it).
Drifts per Direction
Number of additional top-ranked rails to draw per direction (after the best one).
Extend Lines
Right: extend lines to the right only.
Both: extend both left and right.
Fill Main Shaft Channel
Fill between upper and lower borders for main shaft.
Main Shaft Fill Transparency
Transparency level for main fill.
Show Main Shaft Centerline
Draw the dashed centerline for the main shaft.
06) Ore Pocket (Intersection-Time Confluence)
Show Ore Pockets (Time Confluence)
Enables ore pocket discovery and rendering.
Intersection Window Forward (bars)
How far into the future intersections are considered.
Intersection Window Backward (bars)
How far into the past intersections are considered.
Cluster Radius (bars)
How close in time intersections must be to merge into a cluster.
Min Intersections per Cluster
Minimum cluster count required before a pocket is shown.
Max Pocket Markers
Limit how many pocket clusters are drawn.
07) Visual Controls
Show Gap Anchors
Displays the gap anchor dots for debugging.
Show Pivot Anchors
Displays pivot anchor dots for debugging.
5) How to use it (practical workflow)
Step A — Confirm anchor behavior
Turn on Show Gap Anchors.
Choose your Gap Mode.
Verify you are seeing anchors where you expect (displacement boundaries).
If anchors are sparse:
Reduce gap threshold (ticks) for candle-gap modes
Enable pivots to inject structure
Increase lookbackBars and maxAnchors so early anchors are not dropped
Step B — Get stable main shaft candidate discovery
Enable Include Pivot Anchors with a medium pivotLen.
Use Fit (scan widths) initially.
Increase Max Anchors / Direction (scan) so you’re not only using recent anchors.
Increase Max Anchor Spacing so macro pairs are eligible.
If you keep getting only local shafts:
That is usually because the candidate pool does not include enough old anchors, or the maxSpacing prevents long-span lines.
Step C — Tune scoring so the “whole-structure” shaft wins
If the script picks a small local channel instead of the macro channel:
Increase insideWeight relative to touchWeight (macro channels tend to contain longer structure even with fewer perfect “touches”)
Reduce widthPenalty, because macro channels may need to be wider to accommodate historical volatility
Increase lookbackBars and evalBars to make “whole-structure fit” matter
Step D — Drifts as secondary shafts
Once main shaft is good:
Increase Drifts per Direction
Validate that drifts represent meaningful alternate sub-shafts rather than noisy duplicates.
If drifts look too similar:
This is expected if many candidates differ only slightly; future refinements should diversify drift selection (see “what still needs done”).
Step E — Ore pockets interpretation
Ore pockets indicate time confluence of multiple rails.
Use them as:
“Time windows to watch”
Not as deterministic price levels
Tune:
clusterBars (cluster tightness)
minClusterSize (signal strength)
6) What still needs done (explicit backlog)
The macro “main mining shaft channel” spanning the entire market structure, and
Smaller shafts/drifts nested inside the macro structure.
To accomplish that, the current algorithm needs additional architecture. Concretely:
A) True multi-scale / hierarchical discovery (primary missing feature)
Right now: one pass, one lookback, one score objective.
Still Needed:
Macro pass: discover a primary shaft using a very long evaluation window and anchor set.
Micro pass(es): discover drifts/secondary shafts using:
residuals (distance from macro centerline),
or segmented time windows (regime partitions),
or anchor subsets constrained to local regions.
This is the single biggest reason we are not consistently getting the full-structure shaft.
B) Anchor retention strategy for macro detection
Right now:
anchors are FIFO capped and direction scanning uses “recent anchors only.”
To reliably find 10-year shafts we need:
an option to store/retain representative anchors across the entire history, not only the most recent ones.
Examples of necessary improvements:
“Stratified anchor sampling” across time (keep some old anchors even when maxAnchors is hit)
“Macro anchor bank” (separate storage for pivots or major gaps)
C) Candidate generation constraints must support macro lines
If we want a shaft spanning the whole structure:
maxSpacing must allow it
the candidate pool must contain anchors far apart in time
So the algorithm needs:
better selection of anchor pairs for long-span candidates (e.g., include earliest/oldest anchors + newest anchors deliberately, not accidentally)
D) Drift diversification
Right now drifts are “next best by score,” which often yields near-duplicates.
We want:
“diverse” secondary shafts:
enforce minimum angular difference,
enforce minimum offset difference,
or penalize candidates too similar to the already-selected shaft.
E) Width fitting logic for macro channels
Macro channels often require:
either a higher width cap,
or a different penalty profile.
Current width penalty is simple and can bias against macro channels.
Needed:
width penalty that scales by timescale or by total evaluated bars,
or separate macro/micro scoring.
F) Ore pocket semantics enhancement (optional but aligned)
Currently pockets are time intersections only.
If you want “pocket zones,” improvements could include:
projecting intersection price and drawing a zone box,
clustering in (time, price) space instead of only time,
adding “importance” weighting based on which lines intersect (macro line intersections weighted higher).
7) Known limitations (current version)
Heavy compute only runs on last bar (good for performance), but means:
changes in anchors/parameters can reselect rails abruptly
Candidate set is bounded; macro shaft can be missed if not in pool
Drift selection can be redundant
Ore pockets are time clusters, not price clusters
Analisi trend
Quantitative Trend and Sector DashboardQuantitative Trend and Sector Dashboard
Overview
The QTS Dashboard is a visual market context tool that summarizes relative strength, benchmark comparison, volatility normalization, and sector participation in a compact on-chart display.
It is designed for analysis and situational awareness rather than trading signals or automated decisions.
What makes it different
Most relative strength tools compare symbols only to a broad index.
This dashboard automatically assigns a relevant sector or industry benchmark based on ticker membership, enabling like-for-like comparison with similar instruments.
The result is a multi-factor view of trend participation rather than a single metric.
Core components
• Benchmark Detection
Maps symbols to sector or industry ETFs to improve comparison relevance.
• Beta Normalization (252 bars)
Beta is calculated using covariance and variance to scale thresholds according to typical volatility.
• Dual Range Tracking
Measures distance from 52-week highs and lows to show position within the yearly cycle.
• Sector Participation Scan
Evaluates major SPDR sectors and lists those currently meeting configurable strength criteria.
• ATR Extension
Quantifies price distance from midpoint using ATR to highlight statistically extended moves.
Math summary
• Relative Spread = Benchmark %BelowHigh − Symbol %BelowHigh
• Beta = Covariance / Variance
• Adjusted Threshold = Base × Beta
• Extension = (Price − Midpoint) / ATR
All calculations use confirmed bars. No intentional repaint logic.
Status states
• Leader — stronger relative performance
• Neutral — in line with benchmark
• Lagging — weaker relative performance
• Extended — large volatility stretch
States describe context only.
How to use
• Compare Spread and Beta for relative positioning
• Monitor sector list for participation breadth
• Use extension values to gauge stretch conditions
• Adjust timeframe and thresholds to match your workflow
• Show, hide, or reposition the dashboard as needed
Example charts
Disclaimer
Educational and informational only.
This indicator does not provide buy or sell signals or investment advice.
Trading involves risk.
Accurate Swing Trading + Support Resistance MTF (EN)Swing trading setup based on volume and support restistance. use buy main signal for large trend change and for swing trade use buy
Stochastic Momentum Index - SMI🎯 Overview
This is a Stochastic Momentum Index (SMI) indicator that combines stochastic momentum with moving average smoothing to identify trend direction and momentum strength in financial markets. The SMI measures where the current price closes relative to the midpoint of its recent trading range, providing enhanced sensitivity to price momentum.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.stoch() function
📈 Range-Based: Compares closing price to high-low range over specified period
🎯 Scale: Oscillates between 0-100 with 50 as neutral midpoint
2. 🎛️ Configuration Parameters
📏 SMI Length: Default 101 periods (long-term smoothing)
📊 Source Price: Customizable (default = Close)
📈 MA Length: 30-period moving average applied to SMI
🔄 MA Type: 6 options (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes (Classic, Modern, Robust, Accented, Monochrome)
📈 Signal Interpretation:
🟢 BULLISH: SMI > 50 (price closing in upper half of range)
🔴 BEARISH: SMI < 50 (price closing in lower half of range)
🎯 Neutral Zone: Around 50 indicates balanced momentum
👁️ Visual Features
📈 Signal Line (MA):
Yellow moving average of SMI
Smooths momentum for clearer trend identification
🎯 Reference Lines:
50-level midpoint (white dashed line)
0-100 scale boundaries
🎨 Fill Zones:
🟢 Upper Zone : Bullish momentum area
🔴 Lower Zone : Bearish momentum area
Gradient fills enhance visual clarity
📋 Dashboard Display:
Content: "⬆️ Bullish" or "⬇️ Bearish" indicator
Purpose: Quick market bias assessment
⚡ Trading Applications
📈 Primary Uses:
🎯 Trend Identification
SMI > 50 = Uptrend momentum
SMI < 50 = Downtrend momentum
📊 Momentum Strength
Values near 100 = Strong bullish momentum
Values near 0 = Strong bearish momentum
Values around 50 = Neutral/consolidation
🔄 Mean Reversion
Extreme readings (near 0 or 100) may indicate overbought/oversold conditions
⏰ Timeframe Compatibility:
📅 Long-term: 101-period default suits swing/position trading
📊 Medium-term: Adjust lengths for daily/weekly analysis
⚡ Short-term: Reduce periods for intraday trading
🎨 Customization Options
🔄 Moving Average Types:
📉 EMA: Exponential - responsive to recent changes
📊 SMA: Simple - equal weight to all periods
📈 RMA: Relative - TradingView's special moving average
⚖️ WMA: Weighted - emphasizes recent data
💎 VWMA: Volume-weighted - incorporates volume
🚀 HMA: Hull - reduces lag significantly
🎨 Visual Themes:
🎨 Classic: Green/Red (traditional trading colors)
🚀 Modern: Cyan/Purple (modern aesthetic)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when SMI crosses above 50
🔴 SHORT Alert: Triggers when SMI crosses below 50
📧 Format: Includes ticker symbol for easy identification
⚡ Key Advantages
✅ Strengths:
🎯 Clear Signals: Simple >50/<50 threshold for easy interpretation
📊 Range-Bound: Always oscillates 0-100 (no divergence issues)
👁️ Visual Clarity: Color-coded zones make analysis intuitive
🔄 Customizable: Multiple MA types and visual themes
📱 Professional: Clean, organized display suitable for all traders
AVSL - XAUUSD M1 OptimizedCredit to Rafka.
This script is optimized for XAUUSDT.P 1-minute trading based on AVSL Indicator from Rafka.
Borna High/Low📌 Borna High/Low
Borna High/Low is a clean and precise indicator that automatically plots the Asian session High and Low levels on GER40 (DAX) directly on the price chart.
It is designed for traders who use the Asian range as a liquidity zone and as a key reference for Frankfurt and London open trading strategies.
🔍 What this indicator does
Automatically calculates Asia High and Asia Low
Draws levels directly on the price chart (overlay)
Optional line extension to the right or both sides
Optional mid-line between High and Low
Session-end labels for clear visual reference
Stable plotting that does not shift when zooming
⏰ Session Settings
Default Asian session: 00:00 – 07:00
Fully customizable time window (e.g. 00:30 – 07:00)
Timezone support (recommended: Europe/Berlin for GER40)
⚙️ Customization
Line style: Solid / Dashed / Dotted
Line width
Extend mode: Right / Both / None
Toggle mid-line
Toggle session labels
📈 How to use
Use Asia High / Low as:
Liquidity targets
Range boundaries for London breakouts
Premium / Discount reference levels
Ideal for scalping and intraday trading on GER40
Commodity Channel Index - CCI🎯 Overview
This is an enhanced Commodity Channel Index (CCI) indicator that transforms the traditional CCI into a centerline-focused momentum tool with moving average smoothing and comprehensive visual enhancements. Unlike standard CCI which uses ±100 levels, this version focuses on the 50-level centerline for clearer trend direction signals.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.cci() function
📈 Statistical Approach: Measures current price relative to statistical mean
🎯 Scale Modification: Focuses on 50 as neutral (unlike traditional ±100)
📏 Default Length: 55 periods (optimal for medium-term trends)
2. 🎛️ Configuration Parameters
📏 CCI Length: Default 55 periods
📈 CCI MA Length: 30-period moving average
🔄 MA Type: 6 options (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes matching your other indicators
📈 Signal Interpretation:
🟢 BULLISH: CCI > 50 (price above statistical mean)
🔴 BEARISH: CCI < 50 (price below statistical mean)
👁️ Visual Features
📉 Chart Elements:
📊 Main CCI Line:
Shows raw CCI momentum
📈 Signal Line (CCI MA):
Yellow moving average of CCI
30-period default provides smoothed trend
🎨 Fill Zones:
🟢 Upper Zone : Bullish momentum area
🔴 Lower Zone : Bearish momentum area
📋 Dashboard Display:
Content: "⬆️ Bullish" or "⬇️ Bearish" indicator
Purpose: Instant market bias assessment
⚡ Trading Applications
📈 Primary Uses:
🎯 Trend Direction Identification
CCI > 50 = Uptrend momentum
CCI < 50 = Downtrend momentum
📊 Extreme Momentum Detection
CCI > 100 = Strong bullish (traditional)
CCI < -100 = Strong bearish (traditional)
CCI near ±300 = Extreme conditions
🔄 Mean Reversion Opportunities
Useful in ranging markets
🎯 Signal Types:
📈 Trend-Following: Stay long when CCI > 50, short when < 50
🔄 Mean Reversion: Fade extreme readings (>100 or <-100)
⚡ Crossover Signals: CCI crossing 50 provides entry/exit points
🎨 Customization Options
🔄 Moving Average Types:
📉 EMA: Exponential - responsive to recent CCI changes
📊 SMA: Simple - smooths CCI equally
📈 RMA: Relative - TradingView's special MA
⚖️ WMA: Weighted - emphasizes recent CCI values
💎 VWMA: Volume-weighted - incorporates volume indirectly
🚀 HMA: Hull - reduces lag on CCI signals
🎨 Visual Themes: (Consistent with your suite)
🎨 Classic: Green/Red (traditional)
🚀 Modern: Cyan/Purple (contemporary)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when CCI > 50
🔴 SHORT Alert: Triggers when CCI < 50
📧 Format: Includes ticker symbol for portfolio tracking
⚡ Key Advantages
✅ Strengths:
🎯 Clear Centerline Focus: 50-level provides unambiguous trend direction
📊 Statistical Foundation: Based on mean deviation (more robust than simple oscillators)
👁️ Extreme Zone Visualization: ±300 boundaries show momentum extremes
🔄 Versatile Application: Works for both trend-following and mean reversion
📱 Professional Suite: Consistent design with your RSI and SMI indicators
⚡ Optimal Settings:
📈 Trending Markets: 55-period CCI (default)
🔄 Ranging Markets: Shorter periods (20-30)
📊 Volatile Markets: Longer periods (80-100)
📱 Day Trading: 20-period with EMA smoothing
🏆 Unique Features:
Statistical Rigor: Based on mean deviation (not just price differences)
Wide Range: ±300 scale captures extreme movements
Centerline Focus: Clear binary trend signals
Visual Harmony: Consistent with your indicator suite design
This CCI indicator provides a statistically robust approach to trend identification while maintaining the visual consistency and user-friendly design of your trading suite! 📊✨
BOS/CHoCH Impulsive Move Detector #12.2Includes all updates. This indicator includes all BOS & CHoCH impulses and identifies impulses of greater than 5% and differentiates between longs and shorts.
CTR RSI Trigger After MA CrossI use this in connection with my other indicator. Helps confirm my entries. Reach out and let me know if you want to learn how I use this for Bitcoin trading.
Daily Move Percentile + StdDevDaily Move Percentile + Standard Deviation
Quantifies how unusual today's price move is relative to historical norms, combining percentile ranking with standard deviation analysis. Designed for volatile assets like biotech where contextualizing moves against typical volatility is essential.
How it works:
Calculates daily percentage change
Ranks today's move against the historical distribution (percentile)
Measures how many standard deviations from the mean (z-score)
Displays average volatility so you can contextualize whether a move is normal for this specific stock
Color coding:
Teal: 95th+ percentile up move — rare upside
Red: 95th+ percentile down move — rare downside
Lime: 80th-95th percentile up move — notable upside
Orange: 80th-95th percentile down move — notable downside
Gray: Normal volatility — nothing unusual
Information table (top right):
Today's move (%)
Percentile rank (how unusual)
Standard deviations (z-score)
Average volatility (typical daily move for this stock)
1 Std Dev (baseline volatility measure)
Use cases:
Identify statistically significant moves worth investigating
Contextualize moves against stock-specific volatility (a -5% day means different things for different stocks)
Spot potential mean-reversion setups after extreme moves
Monitor portfolio names for unusual activity
Recommended settings:
30-60 day lookback for volatile biotech
252 day lookback for stable, large-cap names
3 EMA Kesisim-Canengin15 dakikalık grafiklerde ema 8 in sırasıyla 21 ve 50 yi kesmesi ile alim satim sinyali üretir
CTR Dual Custom MAs + PullbacksUsing this is helping me get in on the pullbacks by watching my higher frame charts and exciting on the lower timeframes. Those interested in learning my trading strategy using this indicator reach out and message back and I will connect with you through my Discord channel. It's free so no worries there.
Relative Strength Index - RSI🎯 Overview
This is an enhanced Relative Strength Index (RSI) indicator for TradingView that combines traditional RSI analysis with a moving average overlay to generate more reliable trading signals ⚡
🧩 Core Components
1. ⚙️ Indicator Settings
2. 🎛️ Input Parameters
A. 🎨 Color Settings:
5 different color themes: 🎨 Classic, 🚀 Modern, 💪 Robust, 🌈 Accented, ⚫⚪ Monochrome
Each theme provides distinct bullish/bearish color pairs
B. 📊 RSI Configuration:
📏 Length: Default 14 periods
📈 Source: Default close price (customizable)
📊 RSI MA Length: Default 365 periods
🔄 RSI MA Type: 6 options (EMA, SMA, RMA, WMA, VWMA, HMA)
C. 📢 Signal Display:
✅ Toggle for Bull/Bear crossover signals
📋 Table display showing current market bias
3. 🧮 Technical Calculations
A. 📈 RSI Calculation:
Standard RSI formula using ta.rsi()
Configurable source and period length
B. 📊 RSI Moving Average:
Customizable MA type applied to the RSI values
Serves as a dynamic signal line
Default 365-period EMA smooths long-term trends
C. 🔔 Signal Detection:
🟢 isBull_RSI: RSI > RSI_MA (bullish condition)
🔴 isBear_RSI: RSI < RSI_MA (bearish condition)
🟢 Bull: Crossover signal (RSI crosses above MA)
🔴 Bear: Crossunder signal (RSI crosses below MA)
4. 👁️ Visual Elements
A. 📉 Main Plots:
📊 RSI Line: Thick line (width 3) colored conditionally based on position relative to its MA
📈 RSI MA Line: Yellow line showing the smoothed RSI
🎯 50-Level Line: Dashed white reference line
B. 🎨 Fill Areas:
🟢 Overbought Zone : Filled between RSI and MA
🔴 Oversold Zone : Filled between RSI and MA
Colors vary based on selected theme
C. 🌈 Background Highlights:
Subtle background coloring on bullish/bearish crossover signals
D. 📋 Table Display:
Shows "⬆️ Bullish" or "⬇️ Bearish" with appropriate coloring
5. 🔔 Alert System
🟢 LONG Alert: Triggers when RSI > RSI_MA
🔴 SHORT Alert: Triggers when RSI < RSI_MA
Includes ticker symbol in alert message
🏁 Trading Logic
🎯 Primary Signals:
🟢 Bullish Setup:
📈 RSI crosses above its moving average
📊 RSI remains above MA (continuous bullish condition)
🎨 Visual: Green/theme bull colors, bullish fill areas
🔴 Bearish Setup:
📉 RSI crosses below its moving average
📊 RSI remains below MA (continuous bearish condition)
🎨 Visual: Red/theme bear colors, bearish fill areas
✨ Key Features:
📊 Trend Filter: The RSI MA (365-period) acts as a long-term trend filter
⚡ Momentum + Trend: Combines momentum (RSI) with trend (MA) for higher probability signals
👁️ Visual Clarity: Color-coded elements make market state immediately apparent
🛠️ Customizability: Multiple MA types and color schemes adapt to different trading styles
💻 Code Structure
The script is well-organized with clear sections:
🔧 MA function definition
⚙️ Input settings
🧮 Calculations
🎨 Color definitions
📊 Plotting
📋 Table display
🔔 Alert conditions
🎯 Best Use Cases
📈 Trend Following: In trending markets, signals align with the overall direction
🔄 Mean Reversion: In ranging markets, oversold/overbought fills indicate potential reversals
⏰ Multi-Timeframe Analysis: Works well on daily/weekly charts for long-term positioning
✅ Signal Confirmation: Can be combined with other indicators for entry/exit confirmation
🏆 Unique Advantages
🎯 Reduced Whipsaws: Long MA period (365) filters out noise
👁️ Clear Visual Hierarchy: Multiple visual layers convey information efficiently
💼 Professional Presentation: Clean, organized display suitable for sharing
🛠️ Flexible Configuration: Adaptable to different assets and timeframes
1M / 3M / 6M / 12M Performance Box─────────────────────────────────────────────────────────────
1M / 3M / 6M / 12M Performance Box
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A compact on-chart dashboard that shows multi-horizon price performance
(1M / 3M / 6M / 12M) as percentage change, using DAILY data for consistency
across all chart timeframes (intraday, daily, weekly).
What it does
• Calculates % performance over 1, 3, 6, and 12 month horizons.
• Displays results in a clean table overlay on the chart.
• Automatically color-codes performance:
- Green = positive
- Red = negative
- Gray = neutral / not available
Month definition (user selectable)
• Calendar days mode:
1M = 30 days, 3M = 90 days, 6M = 180 days
• Trading days mode:
1M = 21 TD, 3M = 63 TD, 6M = 126 TD
• 12M is calculated as ~365 days in both modes.
Customization
• Table position (top/bottom + left/right)
• Decimal precision
• Fully customizable colors (header, labels, positive/negative/neutral cells)
• Adjustable background opacity
• Optional header with symbol + timeframe
Use cases
• Quick trend/context check before entries
• Relative strength snapshot across time horizons
• Cleaner decision-making without adding clutter
Notes
• Uses daily close/time via request.security() for stable results.
• Displays "n/a" when a reference value is not available.
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Directional Movement Index - DMI🎯 Overview
This is a versatile Directional Movement Index (DMI) indicator that provides multiple visualization modes for analyzing trend strength and direction. Unlike traditional DMI displays, this version offers three different viewing options and focuses on DI crossover signals for clear trend identification.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.dmi() function
📈 Three Core Components:
+DI (Positive Directional Indicator): Measures upward movement strength
-DI (Negative Directional Indicator): Measures downward movement strength
ADX (Average Directional Index): Measures overall trend strength
⚡ Dynamic Average: Creates a composite line (+DI minus -DI) for simplified analysis
2. 🎛️ Configuration Parameters
📏 DMI Length: Default 8 periods (standard setting)
🔄 ADX Smoothing: Additional smoothing for ADX line
🎨 Color Themes: 5 visual schemes consistent with your indicator suite
👁️ Display Toggles:
Average DMI: Shows composite line (+DI minus -DI)
DMI: Shows individual +DI and -DI lines
ADX Smoothing: Shows ADX trend strength line
📈 Signal Interpretation:
🟢 BULLISH: +DI > -DI (upward momentum stronger)
🔴 BEARISH: -DI > +DI (downward momentum stronger)
🎨 Visual Elements:
🚨 Signal Highlights: Background coloring on DI crossovers
📋 Line Labels: On-chart labels for each indicator component
📊 Table Display: Top-right bullish/bearish status indicator
📋 Dashboard Display:
Content: "⬆️ Bullish" or "⬇️ Bearish" based on DI relationship
⚡ Trading Applications
📈 Primary Uses:
🎯 Trend Direction Identification
+DI > -DI = Uptrend
-DI > +DI = Downtrend
💪 Trend Strength Assessment
ADX > 25 = Valid trend (tradable)
ADX < 25 = Weak trend (avoid trading)
ADX rising = Strengthening trend
🚨 Crossover Signals
Bull Crossover: +DI crosses above -DI
Bear Crossover: -DI crosses above +DI
🎨 Customization Options
👁️ Display Flexibility:
📊 Mode 1: Simplified (Average DMI only)
📈 Mode 2: Detailed (+DI and -DI lines)
💪 Mode 3: Strength-focused (ADX line)
🔄 Any Combination: Mix and match as needed
🎨 Visual Themes: (Consistent suite)
🎨 Classic: Green/Red (traditional directional colors)
🚀 Modern: Cyan/Purple (contemporary)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when +DI crosses above -DI
🔴 SHORT Alert: Triggers when -DI crosses above +DI
📧 Format: Includes ticker symbol for tracking
⚡ Key Advantages
✅ Strengths:
🎯 Multiple Perspectives: Three display modes in one indicator
📊 Clear Trend Signals: DI crossovers provide unambiguous entries/exits
💪 Strength Filter: ADX helps avoid trading in weak trends
👁️ Visual Clarity: Color-coded and labeled for easy interpretation
🔄 Flexible Usage: Can be simple or detailed based on trader preference
📊 Optimal Settings:
⚡ Short-term Trading: 8-14 period length
📊 Medium-term Trading: 14-20 period length
📈 Long-term Trading: 20-50 period length
🎯 ADX Smoothing: Higher values for smoother trend strength
🏆 Unique Features:
Mode Selector: Choose your preferred view (simple → detailed)
Composite Average: (+DI - -DI) creates single directional line
Strength Integration: Built-in ADX for trend validation
Visual Harmony: Consistent design with your indicator family
Professional Labels: On-chart annotations for clarity
This DMI indicator provides professional-grade trend analysis with user-friendly flexibility, allowing traders from beginners to experts to customize their view according to their trading style and experience level! 📊🎯
Chande Momentum Oscillator - CMO🎯 Overview
This is a sophisticated Chande Momentum Oscillator indicator that combines traditional momentum analysis with dynamic moving average filtering. Unlike basic CMO implementations, this version features gradient visualization, multiple color themes, and a clear signal dashboard for precise momentum identification.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.cmo() function with customizable source and period length
📈 Dual Analysis Components:
CMO Line: Pure momentum oscillator ranging from -100 to +100
MA Filter: Customizable moving average that acts as dynamic signal line
Gradient Zones: Visual fill between CMO and MA showing momentum intensity
⚡ Dynamic Comparison: Creates clear bullish/bearish signals based on CMO vs MA position
2. 🎛️ Configuration Parameters
📏 CMO Length: Default 14 periods (standard momentum setting)
🔄 MA Filter Settings:
Length: Customizable (default 365 periods)
Type: 6 options available (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes consistent with your indicator suite:
Classic, Modern, Robust, Accented, Monochrome
📊 Signal Interpretation:
🟢 BULLISH: CMO > MA Filter (momentum above trend)
🔴 BEARISH: CMO < MA Filter (momentum below trend)
3. 🎨 Visual Elements
🚨 Gradient Zones:
Upper zone (CMO > MA): Green gradient showing bullish momentum intensity
Lower zone (CMO < MA): Red gradient showing bearish momentum intensity
📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish"
📊 Dynamic Coloring: CMO line changes color based on position relative to MA
⚡ Trading Applications
📈 Primary Uses:
🎯 Momentum Direction Identification:
CMO > MA = Bullish momentum regime
CMO < MA = Bearish momentum regime
💪 Momentum Strength Assessment:
CMO > +50 = Strong bullish momentum
CMO < -50 = Strong bearish momentum
Between -50 and +50 = Moderate momentum
🚨 Crossover Signals:
Bull Signal: CMO crosses above MA
Bear Signal: CMO crosses below MA
📊 Zone Analysis:
🟢 Bullish Zones:
Light to dark green gradient as CMO rises
Strongest color at highest CMO values
🔴 Bearish Zones:
Light to dark red gradient as CMO falls
Strongest color at lowest CMO values
🟡 Equilibrium: Yellow MA line acts as dynamic pivot
🎨 Customization Options
👁️ Display Features:
📊 Dual Components: Always shows both CMO line and MA filter
🎨 Gradient Visualization: Automatic fill between lines showing momentum intensity
📋 Status Dashboard: Clear bullish/bearish indication
📈 Customizable MA: Choose from 6 different moving average types
🎨 Visual Themes: (Consistent suite)
🎨 Classic: Green/Red (traditional momentum colors)
🚀 Modern: Cyan/Purple (contemporary)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when CMO crosses above MA
🔴 SHORT Alert: Triggers when CMO crosses below MA
📧 Format: Includes ticker symbol for tracking
⚡ Key Advantages
✅ Strengths:
🎯 Clear Momentum Signals: Direct comparison between CMO and MA provides unambiguous entries/exits
💪 Trend Filter: MA acts as dynamic support/resistance for momentum
👁️ Visual Clarity: Gradient zones show momentum intensity at a glance
🔄 Flexible Configuration: Multiple MA types for different trading styles
📊 Professional Dashboard: Immediate status recognition
📊 Optimal Settings:
⚡ Short-term Trading: CMO Length 9-14, MA Length 20-50
📊 Medium-term Trading: CMO Length 14-20, MA Length 50-100
📈 Long-term Trading: CMO Length 20-30, MA Length 100-365
🏆 Unique Features:
🎯 Gradient Visualization: Color intensity reflects momentum strength
📊 MA Filter Flexibility: 6 different moving average types
🎨 Consistent Design: Matches your indicator family aesthetics
📋 Status Dashboard: Quick visual confirmation of regime
🔧 Dual Analysis: Combines momentum oscillator with trend filter
🔄 Trading Strategies
1. Basic Momentum Strategy:
Go LONG when CMO crosses above MA
Go SHORT when CMO crosses below MA
Use extreme readings (>+80 or <-80) for overbought/oversold conditions
2. Momentum Strength Strategy:
Strong bullish: CMO > MA AND CMO > +50
Strong bearish: CMO < MA AND CMO < -50
Weak signals: Between -50 and +50
3. Divergence Detection:
Price makes higher high, CMO makes lower high → Bearish divergence
Price makes lower low, CMO makes higher low → Bullish divergence
📈 Performance Tips
Combine with Trend: Use in trending markets (avoid ranging periods)
Confirmation: Wait for candle close after MA crossover
Extreme Readings: +80/-80 often precede reversals
MA Selection: EMA for responsiveness, SMA for smoothness
Multiple Timeframes: Check higher timeframe CMO alignment
This enhanced CMO indicator provides professional-grade momentum analysis with intuitive visualization, allowing traders to quickly identify momentum regimes and strength while filtering out market noise through the customizable moving average filter! 📊🎯
ETF-CFD Ratio Bridge
This indicator helps traders visualize the relationship between ETFs and their corresponding CFD/Spot instruments. It allows you to trade on one chart while monitoring the equivalent price levels of the other instrument without mental math or switching screens.
Features
1. Ratio Table
A customizable table displayed on the chart (default: Top Right) that shows:
- Pair : The ETF and CFD pair being monitored.
- Ratio : The calculated price ratio (ETF / CFD).
- Prices : Real-time prices for both instruments.
2. Companion Price Label
A dynamic label that moves with the current price candle.
- Displays the equivalent price of the paired instrument.
- Example : If you are viewing SPY , the label shows the equivalent US500 price next to the candle.
3. Left Virtual Scale
A custom vertical axis drawn on the left side of the chart.
- Shows price levels for the companion instrument corresponding to the current visible chart range.
- Allows you to read "CFD prices" directly on an "ETF chart" (and vice versa) via the Y-axis.
4. Historical Levels lines
Visualizes recent market structure converted to the companion price.
- HH(x) : Highest High of the last X bars (default: 20).
- LL(x) : Lowest Low of the last X bars.
- Dashed lines extend to the right with labels showing the converted price at those key levels.
5. Closed Market Handling
Ensures the indicator remains useful even when the ETF market is closed (e.g., after hours) while the Futures/CFD market is open.
- Automatic Detection : The script detects if the ETF market is closed based on the timestamp.
- Fixed Ratio : Automatically switches to a user-defined "Fixed Ratio" when the ETF is closed.
- Continuous Updates : Prevents values from freezing, calculating a synthetic "Shadow Price" for the closed asset so you can continue to see projected levels based on the live CFD market.
Technical Explanation (The Math)
The indicator functions by calculating a dynamic ratio between the two instruments and using it to convert price levels.
Formulas
1. Calculate Ratio :
Ratio = Price(ETF) / Price(CFD)
2. Conversion :
- ETF Chart → CFD Price :
Equivalent CFD Price = Current ETF Price / Ratio
- CFD Chart → ETF Price :
Equivalent ETF Price = Current CFD Price × Ratio
Example (SPY vs US500)
- Scenario : You are trading on the SPY chart.
- Current Prices :
- SPY (ETF) = $500
- US500 (CFD) = $5000
- Step 1 : Calculate Ratio
- 500 / 5000 = 0.10
- Step 2 : Calculate Equivalent Price
- If SPY moves to $505 , what is the US500 equivalent?
- 505 / 0.10 = 5050
- The indicator will display "US500: 5050" on the label and scale.
Supported Pairs
SPY (AMEX) = US500
GLD (AMEX) = XAUUSD
SLV (AMEX) = XAGUSD
IWM (AMEX) = US2000
QQQ (NASDAQ) = NAS100
IBIT (NASDAQ) = BTCUSD
Settings
- Symbols : Customize the ticker symbols for each pair if your broker uses different names.
- Fixed Ratio (Closed) : Manually adjust the fallback ratio used when the ETF market is closed (default values provided).
- Visuals :
- Toggle Table, Labels, Scale, and Historical Lines on/off.
- Customize colors, text sizes, and positions.
- Right Offset (Bars from Current) : Adjusts how far back (from the current live bar) the Left Virtual Scale is drawn. Increasing this moves the scale further to the left.
- Historical Levels :
- Lookback Length : Number of bars to check for High/Low calculations (Default: 20).
ATR + ADX Expansion This script plots in real time a shorter period ATR compared to a longer period ATR allowing one to see if the market has above or below average volatility. This helps avoid choppy sideways markets.
Secondly, the table shows whether ADX is expanding above its signal line, or contracting below it's signal line further identifying a market in expansion or contraction.
Any set up must be deployed in a healthy market environment, this indicator measures core statistics in real time to allow you see at a glance what state the market is in.
Poseidon [hide System]English Description
Poseidon Ultimate Fix is a sophisticated hybrid trading strategy designed to adapt seamlessly to changing market conditions. Its core strength lies in its ability to automatically distinguish between trending and ranging markets using the Hybrid Logic Engine, which relies on the Average Directional Index (ADX). When the market shows strong directional momentum (ADX > 25), the system activates Trend Mode. In this phase, it utilizes a Supertrend-based logic to follow the market flow, entering trades on breakouts and holding positions until the trend reverses, thereby maximizing profit potential during volatile periods.
Conversely, when volatility is low and the market lacks clear direction (ADX ≤ 25), the system switches to Range Mode. Here, it employs Bollinger Bands to execute mean reversion strategies, buying at the lower band and selling at the upper band to capture smaller, consistent gains within the consolidation. A critical safety feature of this system is its Emergency Escape protocol. If a sudden surge in volatility occurs while a range position is open—threatening a breakout against the trade—the system immediately liquidates the position and switches to a trend-following entry. This mechanism effectively neutralizes the risk of catastrophic losses often associated with reversal strategies during market explosions. Furthermore, the Precise Accounting feature ensures that the dashboard metrics, including Profit Factor and Win Rate, are calculated based on real-time equity changes, providing an accurate reflection of the system's performance without mathematical discrepancies.
日本語による説明
Poseidon Ultimate Fix は、刻々と変化する相場環境に完全適応するために設計された、高度なハイブリッド型トレードシステムです。このシステムの最大の特徴は、ADX（平均方向性指数）を用いたハイブリッド・ロジック・エンジンにあります。これにより、相場が「トレンド状態」にあるか「レンジ状態」にあるかを自動的かつ正確に判別します。強い方向感が出ている局面（ADXが25以上）では、システムは即座にトレンドモードを選択します。ここではスーパートレンド指標に基づいた順張りロジックが作動し、トレンドの発生に合わせてエントリーを行い、相場が反転するその瞬間までポジションを保有し続けることで、利益の最大化を狙います。
一方で、相場の方向感が失われ、ボラティリティが低下した局面（ADXが25以下）では、システムはレンジモードへと切り替わります。このモードではボリンジャーバンドを活用した逆張り戦略を展開し、バンドの下限で買い、上限で売ることで、ボックス相場の中から着実に利益を積み上げます。さらに、このシステムには**緊急脱出機能（エマージェンシー・エスケープ）**という重要な安全装置が搭載されています。もしレンジ逆張りポジションを保有中に突発的な暴騰や暴落が発生した場合、システムは即座に損切りを行い、間髪入れずにトレンド方向への順張りエントリーに切り替えます。これにより、レンジ手法特有の「コツコツ勝ってドカンと負ける」リスクを排除します。加えて、完全な会計処理機能により、ダッシュボード上の勝率やプロフィットファクターは実際の口座残高の増減と1円の狂いもなく一致し、極めて信頼性の高いパフォーマンス分析を提供します。
Moving Averages - High_Low & Close/ Written by Love Sharma, CMT, CFTe , the concept is to identify when the moving average is rising and that too of highs and lows
//since there are various ways to generate signal from moving average but the high or low of MA has much weight of evidence as we are using the slope
One can just use the slope, or close above/below MA
//THE IDEA IS SIMPLE TO REMAIN RIGHT SIDE OF THE TREND
Multi-Sector Scanner [DYNAMC HOLDING COLORS]Multi-Sector Scanner
This professional-grade Pine Script indicator provides a comprehensive, real-time dashboard for monitoring 25 critical market sectors and their top-performing ETFs. It is designed for traders who need a "bird's-eye view" of market rotation, relative strength, and volume flow without flipping through dozens of charts.
The script identifies high-probability entries and exits by tracking consecutive price action and momentum thresholds, organizing the data into a clean, scannable table.
Key Features
Real-Time Sector Tracking: Monitors 25 diverse sectors including Tech (XLK), Semi (SOXX), Uranium (URA), Crypto (BLOK), and Traditional Finance (XLF).
Dynamic Visual Heatmap: * 🔥 BUY Signals: Triggered when a sector meets your strength and consecutive day requirements. The entire Top 5 Holdings cell and Signal column light up in vibrant green.
💀 SELL Signals: Triggered during multi-day weakness. These rows light up in deep red for immediate recognition.
⚠️ WATCH Signals: Highlights sectors starting to show momentum (amber/orange) but haven't yet met the "Consecutive Days" confirmation.
Smart Sorting: The table automatically pushes "BUY" signals to the top and "SELL" signals to the bottom, ensuring the most actionable data is always at eye level.
Relative Volume (RVOL): Displays volume flow relative to the 5-day average. Seeing 1.5x+ RVOL during a "WATCH" phase often front-runs a major sector breakout.
End-User Timezone Support: Includes a built-in selector for PST, EST, CET, and more, ensuring the "Last Update" timestamp reflects your local clock rather than exchange time.
bezgincan_BPA Integrated Market Analyzer (V6) -
Why?
This is an advanced oscillator powered by the v6 engine that combines the four main pillars of technical analysis —Volume, Trend, Volatility , and Momentum —into a single mathematical model. It eliminates chart clutter, allowing you to monitor market strength, speed, and saturation from a single panel.
Fourfold Analysis Logic:
Trend: Calculates the main direction and slope of the price using linear regression slope.
Momentum: Measures the strength of price movement using RSI-based normalized momentum data.
Volatility: Compares current volatility to historical averages via the ATR ratio.
Volume: By relating volume increases to momentum, it confirms the reality of the motion.
How to Use?
The display operates on a fixed, normalized scale between -100 and +100 :
Zero Line Intersections: When the BPA line crosses above 0 (Green Area) , it indicates increased buying pressure, and when it crosses below 0 (Red Area), it indicates increased selling pressure.
Extremes (Yellow Background): When the indicator rises above +70 or falls below -70 , it means the market is "overheated". These zones signal that the trend is exhausted and a correction (or profit-taking) may be imminent.
Signal Labels: The triangles on the chart represent zero-line intersections (trend reversal confirmation).
Why this indicator?
Normalized Scale: Unlike classic indicators, it always stays within the -100/+100 range, providing visual consistency.
Filtered Data: It doesn't just look at price; it incorporates volume and volatility to help filter out "fake" patterns.
Pine Script v6: Performs fast and optimized calculations with the latest Pine Script engine.
