EGADE Research-Based RSI Threshold ConfigurationEGADE Research-Based RSI Threshold Configuration is an empirical RSI decision-support indicator based on the findings of research by Hatem Mabrouk , Federico Trigos , and Francisco Valderrey , Tecnologico de Monterrey, EGADE Business School, Mexico
The underlying study systematically evaluated nine RSI threshold configurations across nine major cryptocurrencies and the S&P 500 using weekly RSI(14) data. The findings challenge the conventional assumption that the standard 30/70 configuration is universally optimal and identify asset-specific dominant threshold configurations based on win rate, geometric weekly return, and average holding period.
This indicator operationalizes those empirical findings directly within PulseWire. For assets included in the study, it automatically displays the research-based RSI threshold configuration identified by the empirical analysis.
The indicator provides three display modes:
• Research-Based: Displays the empirically identified threshold configuration for the selected asset.
• Conventional 30/70: Displays the traditional RSI 30/70 configuration.
• Compare Both: Displays the research-based and conventional configurations simultaneously for direct comparison.
The indicator uses weekly RSI(14) regardless of the chart timeframe and provides visual entry and exit zones, threshold-entry markers, alerts, and an information dashboard.
Assets currently supported by the empirical research: BTC, ETH, ADA, AVAX, BNB, DOGE, SOL, TRX, XRP, and the S&P 500.
Disclaimer: The findings and information presented through this indicator are intended exclusively for academic, research, educational, and decision-support purposes. Nothing contained in the underlying study or this indicator constitutes financial or investment advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Historical empirical performance does not guarantee future results. Users should conduct their own analysis and exercise independent judgment when making financial or investment decisions. Indicator
Indicator
RSI Divergence ScoutRSI Divergence Scout is a pivot-based RSI divergence study designed to mark potential disagreement between price movement and RSI momentum directly on the price chart.
The purpose of this script is to make bullish and bearish RSI divergences easier to see without requiring a separate oscillator pane or a large visual dashboard.
What the script detects
The study looks for two common RSI divergence conditions:
Bullish RSI divergence
A bullish divergence is detected when:
– price forms a confirmed pivot low below the previous confirmed pivot low
– RSI forms a higher value compared with the RSI value at the previous pivot low
– the previous RSI value was below the lower RSI context threshold
This can suggest that downside momentum is weakening, even though price has made a lower low.
Bearish RSI divergence
A bearish divergence is detected when:
– price forms a confirmed pivot high above the previous confirmed pivot high
– RSI forms a lower value compared with the RSI value at the previous pivot high
– the previous RSI value was above the upper RSI context threshold
This can suggest that upside momentum is weakening, even though price has made a higher high.
How the calculation works
The script uses confirmed pivot highs and pivot lows.
For bearish divergence, it compares the current confirmed pivot high with the previous confirmed pivot high:
– current pivot high price is higher than the previous pivot high price
– current RSI value is lower than the previous RSI value
– the previous RSI value is above the upper RSI context threshold
For bullish divergence, it compares the current confirmed pivot low with the previous confirmed pivot low:
– current pivot low price is lower than the previous pivot low price
– current RSI value is higher than the previous RSI value
– the previous RSI value is below the lower RSI context threshold
When a divergence is detected, the script draws a dashed line between the two relevant price pivots and places a label on the current confirmed pivot. The label can also show the RSI value at that pivot.
Why pivot confirmation matters
The script waits for a pivot high or pivot low to be confirmed using the selected left/right pivot sensitivity.
This means a signal appears only after the pivot is confirmed, not at the exact live high or low. This delay is intentional. It helps reduce noise and avoids marking every small candle fluctuation as a swing point.
Inputs
RSI length
Controls the RSI calculation period.
Pivot left bars
Controls how many bars to the left are required for pivot confirmation.
Pivot right bars
Controls how many bars to the right are required for pivot confirmation.
Higher pivot values produce fewer signals and focus on larger swings. Lower values produce more signals and make the script more sensitive to smaller price movements.
Upper RSI context threshold
Used as a context filter for bearish divergence. The previous pivot high RSI must be above this threshold.
Lower RSI context threshold
Used as a context filter for bullish divergence. The previous pivot low RSI must be below this threshold.
Display settings
The script allows bullish and bearish divergence labels to be shown or hidden independently. Pivot-to-pivot lines and RSI values on labels can also be enabled or disabled.
Alerts
The script includes basic alert conditions for bullish and bearish RSI divergence.
Because the script uses confirmed pivots, alerts trigger only after the pivot confirmation process is complete.
How to use it
RSI divergence should be treated as an early warning signal, not as a complete trade trigger.
A divergence can show that momentum is changing, but it does not confirm that price must reverse. In strong trends, multiple divergences can appear before price actually changes direction.
This study is most useful when combined with additional market context, such as:
– trend structure
– support and resistance
– volume behavior
– higher-timeframe direction
– risk management rules
Limitations
The script does not predict future price direction.
It does not generate complete buy or sell signals.
Pivot-based signals appear only after the pivot is confirmed.
Divergence can fail during strong trends, low-liquidity conditions or news-driven price movement.
The study should be used as one part of a broader analysis process.
Educational content only. Not financial advice.
Indicator
Cup and Handle Quality [AGPro Series]Cup and Handle Quality
🧩 OVERVIEW
Cup and Handle Quality is a visual pattern-quality overlay for one of the most recognized continuation structures in technical analysis: the cup and handle.
The script is designed to map the full pattern lifecycle instead of only marking a breakout candle. It studies the left cup rim, the cup base, the right rim recovery, the controlled handle pullback, the breakout behavior, and the measured projection context. The goal is to make cup and handle structures easier to recognize, compare, and explain directly on the chart.
The final visual output is intentionally clear. The detected cup and handle candle ranges are framed with subtle boxes, while thick curved outlines make the formation readable at a glance. The rim line, target line, DEPTH arrow, and MOVE arrow help users understand how the structure is measured, not just where the label appears.
✅ WHAT MAKES IT DIFFERENT
Most public cup and handle tools focus on one of two things: either they draw a simple breakout marker, or they scan aggressively and leave the chart crowded with low-context shapes. Cup and Handle Quality takes a narrower approach.
It combines three layers:
- Structure recognition: left rim, cup base, right rim, and handle low
- Quality scoring: cup symmetry, handle depth, and breakout quality
- Visual education: cup box, handle box, thick pattern outline, rim line, target line, and measurement arrows
This makes the script more than a pattern detector. It is also a visual explanation tool. The chart shows where the cup was detected, where the handle formed, how deep the cup is, and where the measured projection line comes from.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script has its own lane inside the AGPro Series.
It is not a flag scanner, wedge detector, triangle breakout module, inside-bar breakout tool, Donchian breakout validator, double-top detector, head-and-shoulders detector, generic support-resistance map, or supply-demand zone script.
Its lane is specifically:
Cup rim recovery -> controlled handle depth -> breakout participation -> measured projection line.
The script focuses on the complete cup and handle lifecycle. It does not try to replace broader breakout engines, market-structure tools, support-resistance tools, liquidity tools, or trend dashboards. The defining feature is the combination of a recognizable cup-and-handle drawing with a quality panel that grades the actual pattern components.
⚙️ METHODOLOGY
The engine builds the pattern from pivot structure. A qualified setup begins with a left rim, moves into a cup low, recovers into a right rim, and then forms a handle pullback after the right rim.
The quality model evaluates:
1. Cup Symmetry
The script compares the two rim areas and measures how balanced the cup is over time. A cleaner return from the cup base into the right rim area produces a stronger symmetry reading.
2. Handle Depth
The handle is measured as a percentage of cup depth. A useful handle should create structure without pulling so deeply that the cup profile loses strength. The input range allows the user to control how strict or flexible the handle requirement should be.
3. Breakout Quality
Breakout quality is calculated from candle behavior and participation context. The script checks distance beyond the rim, candle body efficiency, close location, and relative volume against a configurable baseline.
4. Final Score
The final score combines the structure score and breakout behavior into a compact quality reading. Developing setups can be shown before breakout confirmation, while confirmed breakouts require the breakout quality gate.
📊 PANEL
The AGPro panel displays the main quality dimensions in a compact format:
- Cup Symmetry
- Handle Depth
- Breakout Quality
- Score
The first row follows the AGPro standard with a merged blue title row. Panel location, panel theme, panel font size, and label font size are adjustable from settings.
🎛️ KEY INPUTS
- Pivot Span controls structural sensitivity.
- Minimum Cup Bars defines the shortest accepted cup duration.
- Maximum Cup Bars defines the longest accepted cup duration.
- Maximum Rim Variance % controls how closely the left and right rims must align.
- Minimum Cup Depth ATR filters shallow structures.
- Minimum Handle Depth % filters handles that are too shallow.
- Maximum Handle Depth % filters handles that are too deep.
- Breakout Volume Baseline controls the relative volume comparison.
- Minimum Setup Score controls developing setup visibility.
- Minimum Breakout Quality controls confirmed breakout strictness.
- Minimum Pattern Score controls the final quality gate.
- Show Developing Setup controls pre-breakout visualization.
- Show Cup Path controls the curved cup drawing and cup candle box.
- Show Handle Box controls the detected handle range.
- Show Target Line controls the measured projection line.
- Show Measurement Arrows controls the DEPTH and MOVE explanation arrows.
- Pattern Stroke Width controls the thickness of the cup and handle outlines.
- Target Projection Bars controls how far the measured target line extends.
🔍 HOW TO READ IT
Start with the rim line. This is the reference level the structure must recover into and eventually move beyond.
Then read the cup. The subtle cup box marks the detected candle range, while the thick curved outline helps the formation read visually as a cup instead of a simple V-shaped swing.
Next read the handle. The handle box marks the controlled pullback area after the right rim. The curved handle outline makes the handle easier to recognize without turning it into a generic rectangle pattern.
The DEPTH arrow shows the measured cup depth. The MOVE arrow transfers that depth upward from the rim area. The TARGET line shows the forward measured projection level.
The panel summarizes the same structure numerically. Stronger Cup Symmetry, disciplined Handle Depth, and stronger Breakout Quality combine into the final Score.
🧩 BEST USE CASES
Cup and Handle Quality is best used on liquid symbols and timeframes where swing structure has enough room to develop. It is especially useful for users who want a clean visual map of a classic continuation pattern without filling the chart with unrelated pattern families.
The default settings are tuned for active discovery. Users who want fewer patterns can raise pivot sensitivity or score thresholds. Users who want a more reactive view can lower the score thresholds, while still using the chart visuals to review pattern quality.
🧠 VISUAL DESIGN PHILOSOPHY
The design philosophy is simple: make the pattern understandable without making the chart noisy.
The cup and handle are drawn with thick curved lines because this pattern is visual by nature. Newer users should be able to see the shape immediately. At the same time, the candle boxes keep the drawing grounded in the actual detected structure.
The target is shown as a line rather than a large zone, keeping the projection clean. The DEPTH and MOVE arrows explain the measurement logic without turning the indicator into a crowded education panel. Labels are compact, and the panel is restrained so the chart remains the main focus.
🔔 ALERTS
The script includes an alert condition for confirmed cup and handle breakouts.
Alert name:
Cup and Handle Quality Breakout
Alert message:
Cup and Handle Quality : high-quality cup and handle breakout confirmed on {{ticker}} at {{close}}.
Alerts are tied to confirmed breakout logic, which means the structure, breakout quality, and pattern score must pass the configured gates.
🔹 LIMITATIONS AND TRANSPARENCY
Cup and handle structures are pattern-based and depend on pivot interpretation. Different sensitivity settings can produce different structures on the same chart.
Very noisy markets, illiquid symbols, extreme gaps, and unusually compressed price action can reduce pattern readability. Lower thresholds may produce more setups, but visual review remains important when using any chart-pattern tool.
The thick cup and handle lines are designed as visual guides. The subtle candle boxes identify the detected structure ranges, while the curved outlines make the pattern easier to understand on the chart.
✅ IDEAL USER
This script is built for traders and analysts who want a clean, visual, and structured way to study cup and handle formations.
It is especially useful for:
- Users who want classic chart patterns with a modern quality layer
- Price-action traders who care about structure, handle depth, and breakout behavior
- Chart reviewers who want a clear visual explanation of the setup
- Newer users who benefit from seeing the cup, handle, depth, move, and target drawn directly on the chart
- AGPro users who want a focused cup-and-handle tool that does not overlap with broader breakout or market-structure scripts Indicator
Darvas Box Breakout Quality [AGPro Series]Darvas Box Breakout Quality
🔹 OVERVIEW
Darvas Box Breakout Quality is built for one of the most recognizable and widely searched chart-pattern structures in technical analysis: the Darvas Box.
The script focuses on the full Darvas lifecycle:
Box formation → compression quality → breakout direction → volume support → failed-break behavior.
Instead of treating every horizontal range as support and resistance, this script waits for a Darvas-style structure to form, validates the box by age and volatility-adjusted height, then evaluates how price resolves from that box. The result is a clean chart-pattern workflow designed for traders who want to study rectangular compression and breakout quality without turning the chart into a crowded zone map.
The main visual element is the active Darvas box itself. By default, resolved boxes are removed after breakout so the chart stays focused on the current live structure instead of filling with old rectangles.
🔹 WHAT MAKES IT DIFFERENT
Most box or breakout tools stop at drawing a rectangle or marking the first break beyond a level. Darvas Box Breakout Quality adds structure, scoring, and failure awareness.
Core differentiators:
• Darvas-first structure logic
The rectangle is not a generic support/resistance zone. It comes from a Darvas box formation process built around a fresh seed high, containment, age, and volatility-adjusted box height.
• Compression quality
The script measures whether the box has enough maturity and controlled range behavior before treating it as a meaningful active structure.
• Breakout quality score
Every qualified breakout is evaluated with a 0-100 model that includes compression quality, relative volume, breakout distance, candle body participation, and directional close location.
• Volume confirmation
Breakout labels can require volume support, helping separate stronger participation events from weaker boundary pokes.
• Failed-break tracking
After breakout, the script watches whether price returns back inside the former box within the selected failure window. If it does, the event is marked as a failed break.
• Premium visual restraint
The default chart view uses one active box, compact labels, controlled label spacing, and a compact AGPro panel. The goal is to make the chart informative without making it noisy.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script is intentionally separated from the existing AGPro breakout and chart-pattern family.
It is not Inside Bar Breakout Quality, because it does not require a mother bar or inside-bar compression sequence.
It is not Donchian Breakout Quality, because it is not based on rolling channel highs and lows.
It is not Opening Range Breakout logic, because it is not tied to a session-defined range.
It is not Triangle Breakout Quality, because it does not use converging pivot boundaries, apex pressure, or diagonal structure.
It is not Breakout Volume Quality, because volume is only one part of the confirmation model, not the entire concept.
It is not a supply/demand, order-block, or generic support/resistance zone script. The rectangle exists only when the Darvas box formation process supports it.
That distinction matters visually and analytically. On the chart, this script tells a Darvas story: rectangular compression, active box behavior, quality of release, and failed-break review.
⚙️ METHODOLOGY
1. Darvas seed detection
The script looks for a fresh high over the selected lookback period. This high becomes the initial reference for a potential Darvas box.
2. Box formation
After the seed appears, price must spend enough time contained beneath the upper boundary while the lower boundary develops. The box remains in formation until it meets the selected age and height requirements.
3. Volatility normalization
The box height is measured relative to ATR. This helps filter boxes that are too flat to matter or too wide to represent clean compression.
4. Active box state
When the box qualifies, the script displays the active Darvas box and optional midpoint. The box projects forward so the active breakout boundary remains visible while price approaches it.
5. Breakout confirmation
A bullish breakout requires price to resolve above the Darvas top. A bearish breakout requires price to resolve below the Darvas bottom. Users can require close-based confirmation for stricter filtering.
6. Quality score
The breakout score combines:
• Compression quality
• Relative volume support
• ATR-normalized breakout distance
• Candle body participation
• Directional close location
7. Failed-break monitoring
After breakout, the script watches a defined number of bars. If price returns back inside the former Darvas boundary, the failed-break marker is printed.
📊 PANEL
The AGPro panel summarizes the current Darvas environment:
• Box Age
• Compression
• Breakout Side
• Volume Support
• Latest Quality / State
The first panel row follows the AGPro publication standard: one merged blue header row containing only the panel title. Panel location, panel theme, and panel font size are adjustable from settings.
🎛️ KEY INPUTS
Darvas Box Detection
• New High Lookback
• Minimum Box Age
• Maximum Box Age
• ATR Length
• Minimum Box Height ATR
• Maximum Box Height ATR
• Require Close Beyond Box
Breakout Quality
• Volume MA Length
• Volume Support Threshold
• Require Volume Support
• Target Break Distance ATR
• Minimum Breakout Score
• Failed Break Window
Visual Controls
• Show Active Darvas Box
• Show Box Midline
• Show Breakout Labels
• Show Failed Break Markers
• Keep Resolved Box
• Box Projection Bars
• Label Cooldown Bars
• Maximum Visible Labels
• Label Offset ATR
• Label Stack Offset ATR
• Label Font Size
Panel
• Panel Location
• Panel Theme
• Panel Font Size
🔍 HOW TO READ IT
When a Darvas box becomes active, the chart displays the live rectangular structure. The panel shows how old the box is, how compressed it is, and whether the latest environment has breakout direction or volume support.
When price resolves outside the box with enough quality, the chart prints a compact breakout label such as UP 79 or DN 75. The number represents the breakout quality score.
When price fails to hold outside the box and returns back inside during the selected failure window, the script prints a compact failed-break marker such as FAIL UP or FAIL DN.
The best readings come when the box is visually clear, compression is meaningful, and the breakout candle has both directional close quality and volume support.
🧩 BEST USE CASES
• Classic Darvas box formations
• Rectangular range compression
• Box breakout quality review
• Volume-backed breakout confirmation
• Failed-break review after a box release
• Clean chart-pattern study
• Multi-timeframe Darvas structure observation
• Screenshot-friendly public chart analysis
🧠 VISUAL DESIGN PHILOSOPHY
Darvas Box Breakout Quality is designed to look premium through restraint.
The script avoids filling the chart with old boxes by default. It keeps the active Darvas box as the main visual layer, uses short event labels, adds cooldown and stack spacing to reduce overlap, and keeps the panel compact.
This makes the indicator easier to publish, easier to read, and easier to use across different symbols and timeframes.
🔔 ALERTS
The script includes alert conditions for:
• High-quality bullish Darvas breakout
• High-quality bearish Darvas breakout
• Failed bullish Darvas breakout
• Failed bearish Darvas breakout
These alerts follow the same structure-aware logic used by the chart labels.
🔹 LIMITATIONS AND TRANSPARENCY
Darvas box detection is structure-based and depends on the selected lookback, age, and ATR filters. Changing those settings can make the script more selective or more active.
Volume support depends on the quality of the symbol's volume feed. On instruments where volume is less informative, users may prefer to adjust the volume threshold or disable the volume requirement.
The score is a structured description of breakout quality according to the script's internal model. It is designed to help compare Darvas box releases by quality, not to replace the user's broader market context.
✅ IDEAL USER
This script is designed for traders who want a focused Darvas box tool with cleaner structure detection, breakout quality scoring, volume confirmation, failed-break awareness, and a premium chart layout.
It is best suited for users who want the Darvas box itself to remain the main story on the chart. Indicator
Triangle Breakout Quality [AGPro Series]Triangle Breakout Quality
🔺 OVERVIEW
Triangle Breakout Quality is built for one of the most searched and visually recognizable chart structures in technical analysis: the triangle breakout.
The script automatically detects triangle candidates from confirmed pivot highs and pivot lows, projects the upper and lower converging boundaries, measures how much the structure has compressed, locates the projected apex, and grades the quality of the eventual breakout. After the release, it monitors the first return toward the broken triangle boundary so the user can see whether price accepted the breakout or quickly lost structural quality.
The goal is not to mark every small consolidation or every trendline touch. The goal is to isolate the full triangle sequence:
Formation -> compression -> apex pressure -> boundary release -> first retest state.
That full lifecycle is what gives the tool its own identity. A triangle is not just a range, not just a single diagonal line, and not just a breakout candle. It is a narrowing structure where both sides of price are being compressed into a decision point. This script is designed around that idea from the ground up.
🔹 WHAT MAKES IT DIFFERENT
Most triangle tools stop at drawing two lines. Most breakout tools stop at the first candle outside a boundary. Triangle Breakout Quality does more by turning the structure into a scored, state-aware workflow.
Core differentiators:
• Dual-boundary validation
The script requires both an upper pivot boundary and a lower pivot boundary. The two lines must converge. This prevents the logic from acting like a generic trendline-break detector.
• Compression measurement
The engine compares the opening width of the triangle with the current width. A pattern must show meaningful narrowing before it can qualify.
• Apex pressure logic
The script projects where the upper and lower boundaries intersect and evaluates whether the current structure is close enough to that decision zone to matter.
• Breakout quality score
Every displayed breakout receives a 0-100 score based on compression, apex pressure, breakout distance, candle body participation, close quality, and optional volume expansion.
• Retest state
After a breakout, the script watches the first return toward the broken triangle boundary. A held retest and a failed retest are visually different states, not the same event.
• Premium visual restraint
The chart shows active triangle lines, controlled breakout labels, optional retest labels, subtle candle tint, and a compact AGPro panel. Label density is capped so the layout stays clean for live use and publication screenshots.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script is intentionally separated from the existing AGPro breakout and structure family.
It is not Break-Retest Quality, because it does not begin with a horizontal pivot break and then grade the first retest of that static level. Triangle Breakout Quality first requires a valid converging triangle structure.
It is not Failed Break Quality, because it is not centered on false breaks and reclaim behavior. It tracks the primary breakout from a valid triangle and then monitors the first boundary retest.
It is not Consolidation Breakout Quality, because the reference structure is not a horizontal range. A triangle must have two projected pivot boundaries that move toward each other.
It is not Donchian Breakout Quality, because it is not based on period highs and lows or channel escape logic.
It is not ATR Envelope Breakout Quality, because it does not use a volatility envelope as the breakout shell.
It is not Auto Trendline Break Quality, because it does not score isolated trendline breaks. The event only matters when the upper and lower lines together form a valid triangle compression structure.
That distinction matters visually and analytically. On the chart, this script tells a triangle story: converging boundaries, apex pressure, breakout quality, and retest state. It belongs in the chart-pattern lane, not the generic breakout lane.
⚙️ METHODOLOGY
1. Pivot anchors
The script uses confirmed pivot highs and pivot lows to define the latest upper and lower triangle boundaries. This keeps the structure rules transparent and reproducible.
2. Convergence filter
The upper boundary and lower boundary must move toward each other. The current width of the pattern must be smaller than the starting width, and the compression percentage must meet the selected threshold.
3. Width and maturity filters
The pattern must be old enough to represent a real structure, but not so old that it becomes stale. The starting width and current width are also normalized by ATR so the same logic can adapt across symbols and timeframes.
4. Apex projection
The script calculates where the two projected boundaries intersect. This creates the apex pressure layer, which helps separate mature triangle compression from loose diagonal movement.
5. Breakout confirmation
A bullish breakout requires price to close beyond the projected upper boundary by an ATR-normalized buffer. A bearish breakout requires price to close beyond the projected lower boundary by the same type of buffer.
6. Quality score
The breakout score combines:
• Compression quality
• Apex pressure
• Breakout distance beyond the boundary
• Candle body participation
• Close position inside the breakout candle
• Optional volume participation
The result is displayed as a compact grade and score so the chart remains readable.
7. Retest state
After a breakout, the script projects the broken triangle boundary forward internally and evaluates an ATR-scaled retest tolerance around it. If price revisits that boundary area and holds the correct side, the retest is marked as held. If price loses the boundary, the retest state is marked as failed.
📊 PANEL
The AGPro panel summarizes the current structure and latest event:
• Pattern Age
• Compression
• Apex Pressure
• Breakout Side
• Retest Quality
• Current State
Panel location, theme, and font size are adjustable. The first row follows the AGPro publication standard: one merged blue header row containing only the panel title.
🎛️ KEY INPUTS
Triangle Structure
• Pivot Length
• Minimum Pattern Age
• Maximum Pattern Age
• Minimum Compression %
• Minimum Starting Width ATR
• Maximum Current Width ATR
• Maximum Forward Apex Bars
Breakout Quality
• ATR Length
• Volume Average Length
• Use Volume Participation
• Volume Full-Score Ratio
• Minimum Break Distance ATR
• High Quality Threshold
• Minimum Label Score
• Visual Cooldown Bars
Retest State
• Retest Minimum Bars
• Retest Window Bars
• Retest Tolerance ATR
Visual Controls
• Show Triangle Lines
• Show Breakout Labels
• Show Retest Labels
• Tint Breakout Candles
• Label Offset ATR
• Label Font Size
• Maximum Visible Events
Panel
• Show Panel
• Panel Position
• Panel Theme
• Panel Font Size
🔍 HOW TO READ IT
When a valid triangle is forming, the chart displays the converging upper and lower boundaries. The panel reports apex pressure and compression so the projected decision area is visible without adding extra rectangles to the chart. Compression shows how much the pattern has tightened relative to its opening width.
When price closes beyond a valid boundary, the script prints a compact breakout label with a quality grade and score. A higher score means the breakout candle carried stronger structural qualities according to the script's rules.
After the breakout, retest labels and the panel show whether the first return toward the broken triangle boundary held or failed. A held retest suggests cleaner acceptance of the breakout boundary. A failed retest suggests the release lost quality.
Use the tool as a structured chart-reading layer. It is designed to help users compare triangle breakouts by quality, not to replace broader context such as trend, liquidity, session behavior, or personal execution rules.
🧩 BEST USE CASES
• Symmetrical triangle compression
• Ascending triangle pressure
• Descending triangle pressure
• Breakout candle quality review
• First retest monitoring after triangle release
• Screenshot-friendly pattern study
• Multi-symbol scanning for cleaner chart-pattern candidates
🔹 LIMITATIONS AND TRANSPARENCY
Triangle detection is based on confirmed pivots, so the final anchor points appear only after the selected pivot length has elapsed. This is standard pivot behavior and keeps the structure rules visible.
The live triangle can change while new pivots form. Breakout and retest labels are event-based and are designed to remain stable after confirmation.
Volume participation is optional because volume quality varies across markets and feeds. On instruments where volume is less informative, the volume component can be disabled.
The score is a structured description of the triangle release according to the script's internal model. It should be read as context, not as an execution command.
Indicator
RSI Failure Swing Detector [AGPro Series]RSI Failure Swing Detector
🔹 **Overview**
RSI Failure Swing Detector is a focused RSI reversal-structure tool built around one classic momentum concept: the confirmed RSI failure swing.
Instead of treating every oversold or overbought RSI reading as a reversal condition, this script waits for the full internal RSI sequence:
1. RSI reaches an extreme zone.
2. RSI recovers or reacts away from that extreme.
3. RSI pulls back while respecting the original RSI extreme.
4. RSI breaks the internal swing level that confirms the failure swing.
Only after that sequence is complete does the script mark a confirmed trigger on the chart.
The purpose is to make RSI failure swings easier to read in real time without turning the tool into a generic divergence scanner, RSI pressure map, or broad reversal dashboard.
🔹 **What Makes It Different**
Most RSI tools focus on one of three common ideas:
- RSI overbought and oversold levels.
- RSI divergence against price.
- RSI momentum or pressure state.
This script is intentionally different.
RSI Failure Swing Detector does not look for RSI divergence. It does not compare RSI swings against price swings to create hidden or regular divergence logic. It also does not measure RSI pressure, trend pressure, or directional dominance.
Its job is narrower and cleaner:
**It detects when RSI builds a classic failure swing sequence and then confirms that sequence through an internal RSI swing break.**
That keeps the tool separated from existing AGPro momentum scripts such as RSI Pressure Map, Stochastic Exhaustion Map, Multi-Oscillator Consensus Engine, Divergence Stack Scanner, and broader reversal-quality tools. The analytical lane here is not "is pressure building?" or "is price diverging?" The lane is:
**Has RSI completed a confirmed failure swing sequence?**
🔹 **Core Logic**
The bullish model starts when RSI moves into the oversold zone. The script then tracks the first recovery leg, waits for a pullback that stays meaningfully above the original RSI low, and confirms the pattern only when RSI breaks the recovery high.
The bearish model works in the opposite direction. It starts when RSI moves into the overbought zone, tracks the first reaction leg, waits for a bounce that stays meaningfully below the original RSI high, and confirms the pattern only when RSI breaks the reaction low.
This creates a clean four-part sequence:
- Extreme
- Recovery or reaction
- Controlled pullback
- Confirmed internal break
The confirmation step is important. The script is designed to avoid printing premature reversal labels while RSI is still only sitting at an extreme.
🔹 **Trigger Pockets**
When a failure swing is confirmed, the script can project a short chart-level trigger pocket from the confirmation bar.
These pockets are not generic support or resistance zones. They are failure-swing context zones designed to help the user visually track whether price respects or loses the area around a confirmed momentum trigger.
The pocket is time-limited, ATR-scaled, and capped by a maximum visible pocket setting so the chart remains clean.
🔹 **Panel**
The AGPro panel summarizes the active environment:
- RSI State
- Swing Stage
- Confirmation
- Sequence Score
- Trigger Pocket status
The first panel row follows the AGPro standard: one merged blue header row containing only the script title. Panel location, panel theme, label size, and panel font size are all configurable from settings.
🔹 **Visual Design**
The chart layer is intentionally restrained.
Stage labels explain where the RSI sequence is developing, while confirmed trigger labels appear only after the failure swing is complete. The default stage-label mode highlights only the final setup stage before confirmation, keeping lower-timeframe charts cleaner while still preserving the sequence logic.
Label cooldowns, maximum visible label limits, ATR-based offsets, compact trigger labels, and capped trigger pockets are included to keep the chart readable.
The default visual style is designed for a premium public chart: informative, but not crowded.
🔹 **Inputs**
Key settings include:
- RSI Length
- RSI Source
- Oversold Level
- Overbought Level
- Minimum RSI Separation
- Minimum RSI Pullback
- Maximum Sequence Bars
- Confirm On Bar Close
- Stage Label Detail
- Trigger Pocket Depth
- Trigger Pocket Projection Bars
- Panel Signal Memory Bars
- Label and panel size controls
- Panel location and theme controls
These settings allow the user to tune the detector for different symbols and timeframes while preserving the core failure swing structure.
🔹 **Best Use Case**
RSI Failure Swing Detector is best used when the trader wants a clean visual framework for RSI reversal structure without adding divergence complexity or broad pressure-state interpretation.
It can be useful for reviewing moments when RSI fails to retest its prior extreme and then confirms a momentum turn through its own internal swing level.
It is designed to organize one specific RSI pattern with cleaner confirmation, better visual hierarchy, and a focused chart workflow.
Indicator
Head & Shoulders Auto Detector [AGPro Series]Head & Shoulders Auto Detector
🎯 **Overview**
Head & Shoulders Auto Detector is a precision pattern recognition tool that automatically identifies classic Head & Shoulders (bearish) and Inverse Head & Shoulders (bullish) reversal formations across any market and timeframe. Built from the ground up for traders who want the full lifecycle of a pattern tracked on-chart — not just a label and a line, but forming → confirmation → target/stop outcome — with a transparent, quality-scored framework that filters low-probability setups before they clutter the chart.
Every pattern carries a composite quality score, a symmetry percentage, an ATR-adaptive neckline, two projection targets, and a live status label that evolves through the pattern's lifespan.
🔹 **Unique Edge**
Most H&S indicators stop at detection. This one goes further:
• **Full lifecycle state machine** — every pattern moves through four explicit states (Forming → Confirmed → Target Hit / Stopped / Invalidated / Expired), and the visuals update in real time at each transition.
• **Dead pattern hygiene** — once a pattern fails or hits target, orphan TP and stop lines are removed, the neckline freezes at the decision bar, and the status label grays out. The chart never accumulates stale clutter.
• **Quality-driven visual hierarchy** — high-quality patterns (Q≥75) are rendered with a star marker and full saturation, mid-tier patterns get standard treatment, and low-tier patterns (Q<60) fade into the background so the trader's eye is guided to what matters.
• **Dual-target projection with R:R** — every confirmation displays both a classic measured-move TP1 and an extended 1.618× TP2, each labeled with the exact reward-to-risk ratio calculated at entry.
• **ATR-adaptive everything** — shoulder tolerance, neckline flatness, head prominence, stop buffer, and label offsets all scale with volatility, so the same settings work across BTC 4H, gold daily, or small-cap stocks.
🔹 **Methodology**
Patterns are detected from confirmed pivot highs and lows using a configurable pivot length. For a valid Head & Shoulders, three same-side pivots (Left Shoulder → Head → Right Shoulder) must satisfy:
• Head extends beyond both shoulders by at least the configured ATR multiple (prominence test).
• Shoulder heights differ by less than the shoulder tolerance in ATR units (symmetry test).
• Two opposite-side pivots between LS-Head and Head-RS define the neckline; their vertical distance must be within the neckline tolerance.
• Composite symmetry score (50% time symmetry, 50% price symmetry) must exceed the minimum threshold.
Quality score combines four weighted components:
• Symmetry (45%) — time + price balance between shoulders
• Neckline flatness (25%) — how horizontal the neckline is
• Volume profile (15%) — head-bar volume relative to shoulder average
• Head prominence (15%) — how clearly the head dominates
Confirmation triggers when price closes beyond the neckline level (interpolated for sloped necklines). Stop is placed at the head level plus an ATR buffer to avoid wick stop-outs. TP1 uses the standard head-to-neckline measured move; TP2 extends to 1.618× that projection.
🔹 **Signals & Alerts**
Four alert events available:
• **Pattern Forming** — a valid H&S or Inverse H&S structure has been detected but not yet confirmed.
• **Pattern Confirmed** — close has broken the neckline; entry is live with TP/Stop drawn.
• **Target Hit** — TP1 has been reached on a confirmed pattern.
• **Neckline Retest** — after confirmation, price has returned to touch the neckline (common high-probability re-entry zone).
🔹 **Key Inputs**
• **Pivot Length** — controls swing-point sensitivity
• **Min Symmetry Score** — minimum shoulder symmetry percentage to accept a pattern (default 60, balanced)
• **Neckline Tolerance (ATR)** — how sloped a neckline is allowed to be
• **Shoulder Height Tolerance (ATR)** — how different the two shoulders can be
• **Head Prominence (ATR)** — minimum head extension beyond shoulders
• **Volume Soft Confirmation** — toggle volume influence on quality score
• **TP1 Method** — Classic (horizontal neckline reference) or Measured Move (slope-aware)
• **Stop Buffer (ATR)** — extra room beyond the head level (default 0.35)
• **Max Pattern Lifetime** — bars after which an unconfirmed pattern expires
• Full visual controls: font size, panel position, theme, zone display, label offset, color palette
🔹 **How to Use**
1. Apply the indicator to any liquid market and timeframe. 4H and higher tend to produce the most reliable formations; intraday works but expects more noise.
2. Watch for patterns labeled with a ⭐ and bright color (Q≥75) — these are the highest-confidence setups.
3. Wait for the ✓ Confirmed status to appear before entering; the ⚡ breakout marker pinpoints the exact confirmation bar.
4. Use the TP1 / TP2 R:R labels to size the trade. Stop is pre-calculated at head level + ATR buffer.
5. Monitor the panel stats over time to understand the indicator's behavior on your specific market — Win Rate, Avg Quality, and Last Signal all update live.
6. Consider combining with trend context (a bearish H&S is far more powerful at resistance in a downtrend than in the middle of a strong uptrend).
🔹 **Limitations & Transparency**
• Pattern detection uses confirmed pivots, so signals appear with a natural delay equal to the Pivot Length setting. This is intrinsic to pivot-based logic, not a flaw.
• Quality score and historical win rate are chart-native calculations based on the loaded history; they are descriptive, not predictive.
• The script does not include multi-timeframe confluence or trend filters — these are deliberate design choices to keep the tool focused and composable with other indicators.
• Volume confirmation is a soft scoring input, not a hard filter, since many crypto pairs and indices have volume data of variable reliability.
• Pattern state transitions use close-based confirmation; intrabar wicks do not trigger state changes except for stop/target hits, which are high/low based as expected.
🔹 **Risk Disclosure**
This indicator is an analytical tool, not a trading recommendation or financial advice. Pattern recognition describes what has formed on a chart; it does not predict future price movement with certainty. Always use proper risk management, position sizing, and confirm signals with your own analysis. Past pattern statistics shown on the panel are descriptive of the visible history and do not guarantee future performance. Trading involves substantial risk of loss. Indicator
AG Pro HTF Bias Dashboard [AGPro Series]AG Pro HTF Bias Dashboard
Overview / What it does
AG Pro HTF Bias Dashboard is a higher-timeframe context tool built for traders who want a fast, structured view of directional conditions across multiple larger timeframes without crowding the chart with extra signals, zones, or decision noise.
The script summarizes higher-timeframe bias in a compact dashboard and presents each selected row as Bull, Bear, or Neutral, together with a mode-specific status readout. The goal is not to predict the next candle or replace a full trade plan. The goal is to make larger-timeframe context easier to read at a glance.
This indicator is designed to answer a simple but important workflow question: "What is the broader directional environment across the higher timeframes I care about right now?" Instead of forcing the user to manually flip through multiple charts and compare structure or trend conditions one by one, the dashboard keeps that information visible in a single panel.
The script supports multiple bias engines so the same dashboard can be adapted to different styles of chart reading. Users can evaluate higher-timeframe context through EMA Stack alignment, confirmed Swing Structure, SuperTrend direction, or MACD Momentum agreement. This makes the tool flexible enough for trend-following traders, structure-based traders, and users who prefer momentum-style confirmation.
Unlike many overlays that try to combine entries, exits, alerts, pattern detection, and signal generation inside one study, this script stays focused on one task: higher-timeframe directional context. That single-purpose design is intentional. It keeps the output clean, readable, and easier to integrate into an existing process.
Unique Edge
The main strength of this script is not signal generation. Its edge is structured context compression.
Instead of plotting a large number of higher-timeframe elements directly on the chart, AG Pro HTF Bias Dashboard converts higher-timeframe conditions into a compact visual matrix. This makes it possible to assess multi-timeframe agreement quickly while keeping the chart itself relatively clean.
A second differentiator is the ability to switch the bias engine. The dashboard is not locked to one interpretation framework. Users can work with:
- EMA Stack, for ribbon-style alignment
- Swing Structure, for confirmed HH/HL and LH/LL progression
- SuperTrend, for ATR-based directional trend state
- MACD Momentum, for momentum agreement between line, signal, and histogram
Another important detail is the higher-timeframe validity filter. Rows that are not actually higher than the current chart timeframe are marked as Lower/EQ instead of being treated as valid higher-timeframe context. This helps keep the dashboard aligned with its intended purpose.
The script also includes confluence logic, so the user can see not only the state of each row, but also the dominant higher-timeframe bias and how many valid rows support that direction. In practice, this helps users distinguish between broad directional agreement and mixed conditions.
Methodology
The dashboard can display three to five higher-timeframe rows, depending on user settings. Each row evaluates one selected timeframe and classifies it into Bull, Bear, or Neutral.
Bias Mode options:
1) EMA Stack
This mode evaluates directional alignment using a three-EMA structure. A bullish state requires price and the EMA ribbon to be aligned in bullish order. A bearish state requires the opposite alignment. When the full sequence is not aligned, the row can remain neutral and display a partial status such as 2/3 or 1/3 rather than forcing a directional label.
2) Swing Structure
This mode uses confirmed pivot logic to read higher-timeframe structure. It looks for confirmed higher highs / higher lows or lower highs / lower lows, and then evaluates position relative to the active swing range. Because this logic depends on confirmed pivots, structure changes are naturally more selective and may appear later than faster trend models.
3) SuperTrend
This mode reads directional state using an ATR-based trend framework. It is intended for users who prefer a cleaner directional state model rather than ribbon alignment.
4) MACD Momentum
This mode classifies bias through agreement between the MACD line, signal line, and histogram. It is useful for traders who prefer momentum confirmation over structure or moving-average ordering.
The dashboard then calculates:
- the number of valid bullish rows
- the number of valid bearish rows
- the dominant higher-timeframe state
- the confluence count across valid rows
Optional chart context features are also included. Depending on settings, the script can color candles according to the active chart bias, plot the active EMA ribbon or SuperTrend on the chart, apply a subtle background tint when confluence is strong enough, and show a compact mini context tag on the chart.
States / Context Output
This indicator is a context dashboard, not an alert engine.
It does not generate buy or sell alerts, does not mark trade entries, and does not claim to identify optimal execution points. Its outputs are state-based and contextual:
- Bull
- Bear
- Neutral
- Confluence summary
- Mode-specific status text
The mini chart tag, when enabled, is only a compact summary of dominant higher-timeframe direction and current confluence. It should be read as context, not as a trade instruction.
Key Inputs
Higher Timeframes
Users can select three to five rows and define the exact higher timeframes to monitor.
Bias Mode
Choose between EMA Stack, Swing Structure, SuperTrend, and MACD Momentum.
Engine Parameters
The script exposes relevant inputs for each engine, including EMA lengths, Swing Strength, SuperTrend ATR settings, and MACD settings.
HUD Controls
The panel position and panel scale can be customized so the dashboard can fit different layouts and chart styles.
Style Controls
Users can adjust theme and directional colors for bullish, bearish, and neutral states.
Chart Context Controls
Optional features include candle coloring, active indicator plotting for EMA / SuperTrend, strong-confluence background tinting, mini context tag visibility, tag anchor, tag offset, and tag font size.
Limitations & Transparency
This script is not a prediction model. It summarizes directional context from user-selected higher-timeframe logic.
Higher-timeframe tools can update only when data from those larger intervals updates. Because of that, the dashboard should be understood as a context layer rather than a real-time trigger engine.
Swing Structure mode uses confirmed pivots. That means structure changes may appear later than faster directional methods, because confirmation requires completed pivot information.
Neutral states do not necessarily mean the market is untradeable. They simply indicate that the selected bias engine does not currently show clear directional alignment under the chosen rules.
The confluence count is a summary statistic, not a quality score. A larger number of aligned rows does not automatically mean a better trade. It only means more selected higher-timeframe rows currently point in the same direction.
Rows marked Lower/EQ are excluded from valid higher-timeframe confluence because they are not above the active chart timeframe.
This script is intended to support discretionary analysis and chart organization. It should be combined with the user’s own execution framework, risk model, and market understanding.
Risk Disclosure
This indicator is provided for analysis and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes.
Market conditions can change quickly, and no single indicator or dashboard can remove uncertainty from trading or investing. Users should evaluate higher-timeframe context together with price action, liquidity, volatility, risk management, and their own decision process.
Past behavior, historical alignment, or current confluence does not guarantee future performance.
Indicator
Price Memory Heatmap [BullByte]Price Memory Heatmap - Dynamic Support & Resistance Through Market Memory
Price Memory Heatmap visualizes where markets remember. It identifies price levels where repeated reactions have occurred, measures their intensity through a proprietary heat system, and displays them as dynamic zones that strengthen with each new reaction and naturally fade when the market moves on.
This is not a combination of existing indicators. It is a unified analytical framework built around one original concept: price levels accumulate heat from confirmed reactions and lose heat through exponential decay when untouched. The result is a self-organizing, self-cleaning map of historically significant price zones that evolves with every bar.
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WHAT THIS INDICATOR DOES
Price Memory Heatmap tracks price levels where significant market reactions have occurred. Each level is treated as a living entity with memory:
→ Gains heat when price reacts at it (confirmed pivots and wick rejections)
→ Loses heat over time when untouched (exponential decay)
→ Displays visual intensity proportional to accumulated reaction history
→ Gets removed automatically when its heat falls below a minimum threshold
→ Classifies real-time price behavior at each zone (Rejection, Sweep, Break, Retest, Absorption)
The indicator tracks up to 20 memory levels simultaneously and displays only the most significant ones based on heat intensity and reaction count. Zones are color-coded from cool (low activity) to hot (high activity), giving instant visual hierarchy of level importance.
Key outputs:
→ Heat-mapped zones showing historical reaction intensity
→ Classification labels (Developing, Active, Strong, Dominant)
→ Hit count showing total confirmed reactions at each level
→ Relative volume multiplier showing conviction behind reactions
→ Level age tracking (Fresh, Seasoned, Veteran)
→ Real-time behavior detection integrated into zone labels
→ Summary dashboard ranking all active levels by heat
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WHY THIS INDICATOR EXISTS
Traditional support and resistance tools draw static lines. They cannot tell you whether a level was tested once or ten times, whether reactions were backed by strong volume or weak, whether the level was formed yesterday or months ago, or how price is currently interacting with that level.
Price Memory Heatmap addresses each of these gaps through a single cohesive system:
PROBLEM: "Is this level significant?"
→ SOLUTION: Heat intensity and classification tier tell you immediately. A Dominant zone with 8 hits is far more significant than a Developing zone with 2 hits.
PROBLEM: "Was there conviction behind reactions at this level?"
→ SOLUTION: Relative volume multiplier shows whether reactions attracted above-average volume (e.g., 2.3x means 2.3 times the average bar volume).
PROBLEM: "Is this level still relevant?"
→ SOLUTION: Exponential decay naturally fades untouched levels. If the market has forgotten a level, the indicator forgets it too.
PROBLEM: "How is price interacting with this level right now?"
→ SOLUTION: Real-time behavior detection classifies the current interaction as Rejection, Sweep, Break, Retest, or Absorption.
PROBLEM: "How old is this level?"
→ SOLUTION: Age tracking categorizes each level as Fresh (recently formed), Seasoned (survived multiple decay cycles), or Veteran (persistent structural significance).
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HOW PRICE MEMORY WORKS
The lifecycle of a memory level:
BIRTH - A confirmed pivot swing (high or low) creates a new memory level, or merges into a nearby existing level if one exists within the merge distance.
REINFORCEMENT - Each subsequent reaction at the level adds heat. Reactions with above-average volume add proportionally more heat. The level's price adjusts as a weighted average of all reactions.
DECAY - Every bar without a reaction, the level's heat is multiplied by the decay rate (default 0.992). This creates a natural half-life where untouched levels gradually lose prominence.
DEATH - When heat falls below the death threshold (default 0.08), the level is permanently removed. This keeps the chart clean and focused on relevant levels.
The heat value drives everything:
→ Zone color intensity (hotter = more prominent visual)
→ Classification tier (Dominant, Strong, Active, Developing)
→ Dashboard ranking (sorted by heat, hottest first)
→ Glow effect intensity (stronger glow on high-heat zones near price)
Additionally, wick rejections are detected as secondary reaction sources. When a candle wicks into an existing level and rejects (closes away), it adds heat at half the rate of a confirmed pivot, preventing over-weighting of intrabar noise while still capturing meaningful reactions.
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WHY THIS IS NOT A MASHUP
This indicator uses pivot detection, ATR, and volume data internally, but it does not combine or display existing indicators. The distinction is fundamental:
A mashup displays independent indicators together on one chart.
This indicator uses standard calculations as INPUT MECHANISMS feeding a completely original processing engine whose output cannot be replicated by any combination of existing tools.
→ Pivots = Detection mechanism only (identifies where reactions occur)
→ ATR = Scaling parameter only (normalizes distances across any asset)
→ Volume = Weighting modifier only (amplifies high-conviction reactions)
→ Heat Accumulation + Decay = ORIGINAL (no existing indicator does this)
→ Dynamic Level Lifecycle = ORIGINAL (birth, reinforce, decay, death)
→ Behavior Detection at Levels = ORIGINAL (classifies interaction patterns)
No component is displayed independently. Everything feeds the central price memory concept.
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HOW TO READ THE ZONES
ZONE COLORS (Dark Theme - default):
→ Purple/Blue tones = Low heat, Developing level (fewer reactions)
→ Red tones = Medium heat, Active or Strong level
→ Orange/Yellow/Gold tones = High heat, Dominant level (many confirmed reactions)
ZONE COLORS (Light Theme):
→ Gray/Steel tones = Low heat
→ Red/Dark Red tones = Medium to high heat
ZONE COLORS (Classic S/R Theme):
→ Green = Level currently acting as support (price above the zone)
→ Red = Level currently acting as resistance (price below the zone)
ZONE THICKNESS:
Zones expand slightly as heat increases and pulse larger when price approaches (proximity effect). The glow effect adds a soft outer halo that intensifies on high-heat levels near current price, providing immediate visual emphasis on the most important nearby zones.
ZONE LIFESPAN:
Each zone extends from its birth bar to a configurable number of bars into the future (default 15). This visual extension is purely for display - it helps identify where zones project ahead of price. Older zones with maintained heat indicate structural levels where the market has shown persistent memory.
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HOW TO READ THE LABELS
Each visible zone displays a label with key information. The label format depends on the selected Label Mode. When behavior is detected, it is appended to the end of the label.
MINIMAL MODE EXAMPLE:
"STR 5 2.3x SEA REJ↑"
→ STR = Classification (Strong)
→ 5 = Hit count (5 confirmed reactions)
→ 2.3x = Relative volume (2.3 times average per reaction)
→ SEA = Age (Seasoned - 50 to 200 bars old)
→ REJ↑ = Current behavior (Bullish Rejection detected)
STANDARD MODE EXAMPLE:
"Strong | 5 hits | 2.3x | SEA | Rejection ↑"
→ Full classification name
→ Hit count with label
→ Relative volume multiplier
→ Age abbreviation
→ Full behavior name with direction
DETAILED MODE EXAMPLE:
"Strong | Resistance | 5 | 2.3x | 1.2345 | Seasoned | Sweep ↓"
→ Classification
→ Current support/resistance status
→ Hit count
→ Relative volume
→ Exact price
→ Full age name
→ Full behavior name
LARGE MODE:
Same information as Standard but rendered in larger text for visibility.
When no behavior is currently detected, the behavior portion is simply omitted from the label.
CLASSIFICATION TIERS:
→ Developing = Heat below 40% of max OR fewer than 3 hits
→ Active = Heat above 40% AND 3 or more hits
→ Strong = Heat above 60% AND 4 or more hits
→ Dominant = Heat above 80% AND 5 or more hits
AGE CATEGORIES:
→ Fresh (NEW) = Less than 50 bars since first detection
→ Seasoned (SEA) = Between 50 and 200 bars old
→ Veteran (VET) = More than 200 bars old
A Veteran level with high heat indicates deep structural significance - a price where the market has reacted repeatedly over an extended period and continues to hold relevance.
RELATIVE VOLUME EXPLAINED:
The volume shown is NOT raw volume. It is a normalized multiplier showing how much volume reactions attracted compared to the average bar:
→ 1.0x = Average volume at reactions
→ 2.0x or higher = Above-average conviction behind reactions
→ Below 0.5x = Below-average conviction
→ "-" = Volume data unavailable for this asset
Volume is calculated using attributed notional value: only the fraction of bar volume proportional to the zone width is counted, preventing large-range bars from inflating readings.
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HOW TO READ THE DASHBOARD
The dashboard provides a ranked summary of all active memory levels. It appears as a table overlay on the chart (position configurable).
COLUMN-BY-COLUMN:
# → Rank by heat intensity. An asterisk (*) marks the highest-heat level. Numbers rank the rest.
PRICE → The exact price of the memory level, formatted to the asset's tick precision. This is the weighted-average price across all reactions at this level.
CLASS → Classification tier (Developing, Active, Strong, Dominant). In Classic S/R theme, a suffix "S" (Support) or "R" (Resistance) is appended based on whether price is above or below the level.
HEAT → Visual heat bar using 8 segments.
→ "||||||||" = Maximum heat (hottest level)
→ "||||...." = Moderate heat
→ "|......." = Low heat (may decay out soon)
HITS → Total number of confirmed reactions at this level. This includes both pivot-confirmed reactions and qualified wick rejections.
RVOL → Relative volume multiplier averaged across all reactions at this level. Higher values indicate stronger volume conviction behind the reactions that built this level.
STATUS → A dynamic field showing one of three things:
→ Behavior pattern name if currently detected (e.g., "REJ↑", "SWP↓", "BRK↑")
→ "At level" if price is within 0.15% of the zone (highlighted in green)
→ Distance as percentage if price is away (e.g., "1.25% above")
AGE → How long the level has existed (NEW, SEA, VET).
FOOTER → Shows total memory levels being tracked, how many are currently visible, and the current decay rate setting.
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BEHAVIOR DETECTION
When price approaches a memory zone, the indicator analyzes real-time price action to classify how the market is interacting with that level. The detected behavior is displayed as part of the zone label and in the dashboard STATUS column.
Behaviors are checked in priority order. Only the highest-priority match is displayed.
BREAK (Highest Priority):
→ Price opens on one side of the zone and closes decisively on the other
→ Requires strong body (more than 50% of candle range)
→ Close direction must match candle direction (bullish close for Break ↑)
→ Indicates the level has failed and may flip from support to resistance or vice versa
→ Once a Break is detected, the level is marked internally so future Retest detection becomes possible
SWEEP:
→ Price extends significantly beyond the zone (1.5x zone height past the edge) then reverses
→ The extended wick must be larger than the body and more than 35% of total range
→ Close must be back near or inside the zone
→ This pattern often represents a liquidity grab - price pushes through to trigger stops then reverses
REJECTION:
→ A prominent wick touches or enters the zone, and the body closes away
→ Wick must exceed 45% of the candle's total range
→ Body must have meaningful size (more than 25% of range) confirming conviction
→ Indicates the level is actively defending - buyers or sellers are stepping in
RETEST:
→ Price returns to a level that was previously broken
→ Requires all lookback bars to have been on one side (away from zone)
→ Current bar must touch the zone
→ This is the classic "support becomes resistance" or "resistance becomes support" confirmation
ABSORPTION (Lowest Priority):
→ Multiple consecutive bars with bodies inside the zone
→ Average body size is small relative to average range (less than 45%)
→ Indicates accumulation or distribution is occurring within the zone
→ Often precedes significant directional moves
Behaviors persist in the label until a new behavior is detected. When price moves away from the zone, the last detected behavior remains visible, giving context about the most recent significant interaction.
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RECOMMENDED TIMEFRAMES AND SETTINGS
SCALPING (1-minute to 15-minute charts):
→ Pivot Sensitivity: 2 to 4
→ Decay Rate: 0.980 to 0.985 (faster fade for fast markets)
→ Min Hits: 2
→ Focus on Fresh and Seasoned levels
DAY TRADING (15-minute to 1-hour charts):
→ Pivot Sensitivity: 5 to 8
→ Decay Rate: 0.990 to 0.992 (default range)
→ Min Hits: 2 to 3
→ Balanced mix of age categories
SWING TRADING (4-hour to daily charts):
→ Pivot Sensitivity: 10 to 15
→ Decay Rate: 0.994 to 0.996 (slower fade)
→ Min Hits: 3
→ Focus on Seasoned and Veteran levels
POSITION TRADING (daily to weekly charts):
→ Pivot Sensitivity: 15 to 25
→ Decay Rate: 0.997 to 0.999 (very slow fade)
→ Min Hits: 3 to 4
→ Focus on Veteran levels with high heat
GENERAL TIPS:
→ Higher timeframes benefit from increased Pivot Sensitivity
→ Volatile assets benefit from increased Merge Distance
→ For cleaner charts, increase Min Hits to Display
→ For more context, increase Max Memory Slots and Show Top N Levels
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PRACTICAL EXAMPLES
EXAMPLE 1 - IDENTIFYING HIGH-PROBABILITY REACTION ZONES:
A Dominant-classified zone (gold/yellow) showing 7 or more hits with Veteran age tells you this is a deeply embedded structural level. The market has reacted here many times over hundreds of bars and the level continues to maintain high heat. When price approaches this zone, the probability of a meaningful reaction is elevated compared to a Developing zone with 2 hits.
EXAMPLE 2 - CONFIRMING A BREAKOUT:
Price approaches a Strong resistance zone. The label updates to show "Break ↑" as price closes decisively above. The dashboard STATUS column changes from "0.5% below" to "BRK↑". If price later returns to this zone and the label shows "Retest ↑", this confirms the classic resistance-to-support flip pattern. The zone's wasBroken flag ensures Retest detection only activates after a confirmed Break.
EXAMPLE 3 - SPOTTING LIQUIDITY SWEEPS:
A high-heat zone sits above price. Price spikes through the zone with a long upper wick but closes back inside or below. The label displays "Sweep ↓" indicating a potential stop-hunt pattern. The wick exceeded 1.5 times the zone height beyond its edge and the upper wick dominated the candle's body - both requirements for Sweep classification.
EXAMPLE 4 - READING VOLUME CONVICTION:
Two zones appear near current price. Zone A shows "2.8x" relative volume while Zone B shows "0.6x". The reactions that built Zone A attracted nearly 3 times the average bar volume, suggesting strong institutional interest. Zone B's reactions occurred on below-average volume, suggesting less conviction. This context helps prioritize which zone is more likely to produce a meaningful reaction.
EXAMPLE 5 - USING LEVEL AGE FOR CONTEXT:
A Veteran level (more than 200 bars old) that still maintains high heat has survived hundreds of decay cycles. Each cycle multiplies its heat by 0.992 (default). After 200 bars of decay without any new reactions, heat would fall to roughly 20% of its peak. For a Veteran level to remain Dominant, it must have received consistent reinforcement over time - indicating genuine structural significance rather than a one-time event.
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Chart Example
1. Price on the S&P 500 E-mini Futures 15-minute chart is consolidating within a tight range between two heavily-tested Veteran zones, with the gold Dominant level acting as a persistent floor and an orange 22-hit Veteran zone overhead cycling through live behaviors as price repeatedly tests it from below. A structured ladder of purple Developing and red Active zones extends well below current price, with a Retest ↓ pattern visible at a mid-range level indicating a previously broken area is now being revisited from above. The dashboard confirms 17 memory levels tracked with 8 visible, the top-ranked Dominant zone holding a full heat bar and Break ↑ in its STATUS column throughout the session.
2. Price on the Nifty 50 Index 5-minute chart surged strongly through a cluster of high-heat gold zones during the session, reaching a peak at a thin Developing resistance level before pulling back sharply into a contested area between a Dominant zone and a Strong zone sitting just below it. The upper region shows two gold/yellow zones in close proximity - a Dominant and a Strong, both with Sweep behaviors active in their labels, indicating a liquidity grab above followed by a sharp reversal back into the zone cluster. The dashboard shows two Dominant-classified levels in the top two ranks, with a rich mix of Veteran and Seasoned ages confirming this price area carries deep structural memory.
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SETTINGS REFERENCE
CORE SETTINGS:
→ Pivot Sensitivity - Bars on each side to confirm a swing. Lower = more sensitive, more levels.
→ Merge Distance - How close two reactions must be (in ATR multiples) to merge into one level.
→ ATR Period - Period for volatility normalization (default 14).
MEMORY SETTINGS:
→ Decay Rate - Per-bar multiplier for heat decay. 0.992 = balanced default.
→ Heat Per Reaction - Base heat added per confirmed reaction. Modified by volume weighting.
→ Death Threshold - Minimum heat to survive. Below this, the level is removed.
→ Max Memory Slots - Maximum simultaneous levels tracked (default 20).
→ Min Hits to Display - Reactions required before a zone becomes visible (default 2).
→ Show Top N Levels - Maximum zones rendered on chart (default 8).
DETECTION SETTINGS:
→ Wick Rejections - Enable wick-based reaction detection (adds heat at half rate of pivots).
→ Min Wick Ratio - Required wick percentage for wick reactions (default 55%).
→ Volume-Weighted Heat - Weight reactions by relative volume.
→ Behavior Detection - Enable real-time pattern classification at zones.
→ Behavior Lookback - Bars analyzed for behavior patterns (default 3).
APPEARANCE SETTINGS:
→ Color Theme - Dark (purple to gold gradient), Light (gray to red), Classic S/R (green/red).
→ Zone Thickness - Visual height of zones as ATR fraction.
→ Glow Effect - Soft outer halo that intensifies near price.
→ Proximity Radius - Distance at which proximity effects activate.
LABEL SETTINGS:
→ Show Zone Labels - Toggle zone information labels.
→ Label Mode - Information density (Minimal, Standard, Detailed, Large).
→ Show Hit Count - Include reaction count in labels.
→ Show Relative Volume - Include volume multiplier in labels.
→ Reaction Dots - Show dots at exact reaction prices (off by default for chart clarity).
DASHBOARD SETTINGS:
→ Show Dashboard - Toggle the summary table.
→ Position - Screen position (8 options).
→ Text Size - Font size (Tiny, Small, Normal).
→ Rows - Number of levels shown in dashboard (default 5).
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ALERTS
Three alert conditions are available:
"Price entered hot zone" - Triggers when price enters a high-heat zone with 3 or more hits and heat above 50% of maximum. Useful for monitoring approaches to significant levels.
"New behavior detected" - Triggers when a new behavior pattern (Rejection, Sweep, Break, Retest, Absorption) is classified at any visible level. Useful for real-time event notification.
"New reaction" - Triggers when a new pivot is confirmed. Useful for tracking all reaction events across all levels.
All alerts describe observed events. They do not predict future price movement or generate buy/sell signals.
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IMPORTANT NOTES
RETROACTIVE ANCHORING:
Pivot-based levels are confirmed after the Pivot Sensitivity number of bars have passed. The level is drawn at the true swing bar but only becomes known after confirmation. This is standard pivot behavior used across all pivot-based indicators and does not constitute future data usage.
VOLUME DATA AVAILABILITY:
Some assets, particularly certain forex pairs, may not report volume data. When volume is unavailable, relative volume displays show "-" and volume weighting is automatically disabled. The indicator functions fully without volume data.
EARLY CHART BEHAVIOR:
Zones and behavior labels may be sparse early in chart history. The indicator needs sufficient bars to detect pivots, accumulate heat, and meet the minimum hit count. Allow at least 100 bars for the system to populate meaningfully.
PERFORMANCE:
Reaction dots (when enabled) are only rendered within the most recent 500 bars to maintain chart performance. All memory calculations remain unaffected regardless of dot visibility.
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DISCLAIMER
This indicator is provided for educational and analytical purposes only. It visualizes historical price reaction zones and does not predict future price movement, generate buy/sell signals, or constitute financial advice.
Past reactions at specific price levels do not guarantee future behavior. Market conditions change and levels that held previously may fail in the future. Always conduct your own analysis, use proper risk management, and never risk more than you can afford to lose.
The author assumes no liability for any trading decisions made using this tool. Trading involves significant risk of loss. Use this indicator as one component of a comprehensive trading approach, not as a standalone decision-making system.
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BullByte Indicator
Visual Trading ZonesVisual Trading Zones is a chart-based indicator designed to display clear and structured price zones using evenly spaced levels.
The indicator automatically builds horizontal zones across the visible price range and helps traders visually identify potential areas of interest such as support, resistance, and reaction zones.
Key Features
Displays horizontal price zones with a fixed step
Optional main levels and sub-levels inside each zone
Clean and minimal visual presentation
Works on any market and timeframe
Fully customizable colors, line styles, and zone transparency
No signals, no alerts — purely visual analysis tool
How It Works
Price zones are constructed using a user-defined step size.
Each zone is visually highlighted, allowing traders to quickly see how price interacts with these areas over time.
The indicator does not repaint and does not generate trading signals.
It is intended to be used as a visual framework alongside any trading strategy.
Recommended Use
Identifying potential support and resistance zones
Market structure and range analysis
Confluence with price action, indicators, or volume tools
⚙️ Settings Overview
Step — distance between price zones
Step Unit — ticks or pips (for FX instruments)
SubLevels — number of internal levels within each zone
Show Zones / Lines / Prices — visual display options
Range Bars — number of bars used to build zones
Style Settings — colors, line styles, transparency Indicator
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index.
This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection.
It is designed as a context-building indicator, not a standalone entry system.
What This Indicator Does
This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements:
1. Adaptive RSI Visualization
The core RSI is plotted with:
Zone-based color changes (neutral, oversold, overbought)
Optional glow effects to emphasize extreme conditions
User-defined color intensity and midline visibility
The goal is to provide clearer visual segmentation of trend strength and momentum behavior.
2. Custom Smoothing & Signal Line Options
The indicator allows:
Multi-layer smoothing for RSI stability
An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA)
This helps operators examine whether momentum is accelerating or stabilizing relative to its mean.
3. Overbought/Oversold Tools
User-defined thresholds determine:
Highlighted zones
Optional markers for extreme reversals (based on RSI + momentum + velocity criteria)
Midline (50) cross highlights for trend-bias transitions
These features help contextualize where the RSI sits relative to broader momentum regimes.
4. Divergence Detection (Optional)
When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure.
It compares:
Price making lower lows vs RSI making higher lows (bullish)
Price making higher highs vs RSI making lower highs (bearish)
Detected divergences are plotted on the RSI panel with visual labels.
This detection uses pivot lookbacks and range limits defined by the user.
5. Alerts
The indicator provides optional alerts for:
Extreme reversals
Overbought/oversold momentum shifts
Midline (50) crossovers
Bullish / bearish divergences
Alerts are intended for monitoring, not for automated execution.
How to Use It
This RSI modification is intended to support broader analysis workflows, including:
Identifying regime shifts using midline crosses
Monitoring momentum structure across trend phases
Highlighting oversold or overbought clustering
Adding a visual signal line to interpret momentum smoothing
Spotting divergence between price and RSI
As with all indicators, this tool should be used as one component of a complete analysis framework.
What Makes This Version Distinct
This script maintains the core behavior of RSI but introduces:
A multi-layer smoothing system
Adaptive colors calibrated to oversold/neutral/overbought zones
Optional glow visualizations
A modular signal-line engine with multiple MA types
Configurable divergence detection with visual labels
Multiple marker placement modes for extreme conditions
These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows.
Important Notes
This is an indicator, not a strategy. It does not execute trades or calculate performance metrics.
The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems.
Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
Indicator
Candle close on high time frameOVERVIEW
This indicator plots persistent closing levels of higher time frame candles (H1, H4, and Daily) on the active intraday chart in real time. Unlike similar tools, it offers granular control over line projection length, fully independent toggles per timeframe, and a built-in mechanism that automatically limits the total number of historical levels to avoid chart clutter and performance issues.
CONCEPTS
Key levels from higher time frames often act as areas where price reacts or consolidates. By projecting each candle's exact closing price forward as a horizontal reference, traders can quickly identify dynamic support and resistance zones relevant to the current price action. This indicator enables seamless multi-timeframe analysis without the need to manually switch chart intervals or re-draw lines.
FEATURES
Independent Time Frame Selection: Enable or disable H1, H4, and Daily levels individually to tailor the analysis.
Custom Extension Length: Each timeframe's closing level can be projected forward for a user-defined number of bars.
Performance Optimization: The script maintains an internal limit (default: 100) on the number of active lines. When this threshold is exceeded, the oldest lines are removed automatically.
Visual Differentiation: Colors for each timeframe are fully customizable, enabling immediate recognition of level origin.
Immediate Update: New levels appear as soon as a higher timeframe candle closes, ensuring real-time reference.
USAGE
From the indicator inputs, select which timeframes you want to track.
Adjust the extension lengths to fit your trading style and time horizon.
Customize the line colors for clarity and personal preference.
Use these projected levels as part of your confluence criteria for entries, exits, or stop placement.
Combine with trend indicators or price action tools to enhance your multi-timeframe strategy.
ORIGINALITY AND ADDED VALUE
While similar scripts exist that plot higher timeframe levels, this implementation differs in:
Its efficient automatic cleanup of old lines to preserve chart performance.
The independent extension and color settings per timeframe.
Immediate reaction to new candle closes without repainting.
Simplicity of use combined with precise customization.
This combination makes it a practical and flexible tool for traders who rely on clear HTF level visualization without manual drawing or the limitations of built-in PulseWire tools.
LICENSE
This script is published open-source under the Mozilla Public License 2.0. Indicator
MTF Signal XpertMTF Signal Xpert – Detailed Description
Overview:
MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions.
Detailed Explanation of How It Works:
Trend Detection via Moving Averages
Dual Moving Averages:
MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends.
Crossover Logic:
A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure.
Recent Crossover Confirmation:
To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy.
Volatility and Price Extremes with Bollinger Bands
Calculation of Bands:
Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility.
Signal Reinforcement:
For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals.
Momentum Confirmation Using Multiple Oscillators
RSI (Relative Strength Index):
The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions.
MACD (Moving Average Convergence Divergence):
The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation.
Awesome Oscillator (AO):
The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight.
ADX (Average Directional Index):
The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets.
Optional Stochastic Oscillator:
An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity.
Multi-Timeframe Verification
Higher Timeframe Filter:
To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals.
Dynamic Risk Management with ATR
ATR-Based Calculations:
The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions.
Visual SL/TP Markers:
The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points.
Optional Trailing Stop:
An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals.
Risk/Reward Ratio Calculation:
MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade.
Condition Weighting and Signal Scoring
Binary Condition Checks:
Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not).
Cumulative Scoring:
These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability.
Detailed Signal Explanation:
A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process.
On-Chart Visualizations and Debug Information
Chart Elements:
The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions.
Combined Dashboard:
A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic.
Debug Table (Optional):
For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement.
Mashup Justification and Originality
MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together:
Integrated Trend, Volatility, and Momentum Analysis:
By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals.
Multi-Timeframe Analysis:
The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals.
Adaptive Risk Management:
Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves.
Quantitative Signal Scoring:
The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision.
How to Use MTF Signal Xpert:
Input Customization:
Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions.
Enable or disable the optional stochastic oscillator and trailing stop based on your preference.
Interpreting the Signals:
When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal.
Review the SL and TP markers on the chart to understand the associated risk/reward setup.
Risk Management:
Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points.
Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade.
Debugging and Verification:
Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics.
Disclaimer:
MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance.
MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them. Indicator
TVMC - Composite Indicator with Technical RatingsDescription:
The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making.
Key Features:
1. Trend Component (TC):
* Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend.
* The MACD signal is normalized to a range of -1 to +1 for consistency and clarity.
2. Momentum Component (MC):
* Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements.
* This component highlights overbought or oversold conditions, which may indicate potential market reversals.
3. Volume Confirmation (VC):
* Compares the current trading volume to its moving average over a specified period.
* High volume relative to the average confirms the validity of the current trend.
4. Volatility Filter (VF):
* Uses ATR (Average True Range) to gauge market volatility.
* Adjusts and smooths signals to reduce noise during periods of high volatility.
5. Technical Ratings Integration:
* Incorporates PulseWire’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both.
* Users can choose their preferred source of ratings for enhanced signal confirmation.
How It Works:
The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role:
* Trend: Identifies whether the market is bullish, bearish, or neutral.
* Momentum: Highlights the strength of price action.
* Volume: Confirms whether the current price action is supported by sufficient trading activity.
* Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output.
Visualization:
1. Bullish Signals:
* The indicator line turns green and remains above the zero line, indicating upward momentum.
2. Bearish Signals:
* The indicator line turns red and falls below the zero line, signaling downward momentum.
3. Neutral Signals:
* The line is orange and stays near zero, indicating a lack of strong trend or momentum.
4. Zones:
* Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively.
* A zero line is included for clear separation between bullish and bearish signals.
Recommended Usage:
* Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts.
* Trading Style: Suitable for swing and positional trading.
* Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences.
Customization Options:
* Adjustable weights for Trend, Momentum, and Volume components.
* Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods.
* Timeframe selection for multi-timeframe analysis.
Important Notes:
1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators.
2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code.
3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools.
Compliance with PulseWire Rules:
* The indicator is written in Pine Script version 5, adhering to PulseWire’s language standards.
* The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality.
* No promotional content, links, or unrelated references are included.
* The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.
Indicator
Indicator
Fibonacci-Only StrategyFibonacci-Only Strategy
This script is a custom trading strategy designed for traders who leverage Fibonacci retracement levels to identify potential trade entries and exits. The strategy is versatile, allowing users to trade across multiple timeframes, with built-in options for dynamic stop loss, trailing stops, and take profit levels.
Key Features:
Custom Fibonacci Levels:
This strategy calculates three specific Fibonacci retracement levels: 19%, 82.56%, and the reverse 19% level. These levels are used to identify potential areas of support and resistance where price reversals or breaks might occur.
The Fibonacci levels are calculated based on the highest and lowest prices within a 100-bar period, making them dynamic and responsive to recent market conditions.
Dynamic Entry Conditions:
Touch Entry: The script enters long or short positions when the price touches specific Fibonacci levels and confirms the move with a bullish (for long) or bearish (for short) candle.
Break Entry (Optional): If the "Use Break Strategy" option is enabled, the script can also enter positions when the price breaks through Fibonacci levels, providing more aggressive entry opportunities.
Stop Loss Management:
The script offers flexible stop loss settings. Users can choose between a fixed percentage stop loss or an ATR-based stop loss, which adjusts based on market volatility.
The ATR (Average True Range) stop loss is multiplied by a user-defined factor, allowing for tailored risk management based on market conditions.
Trailing Stop Mechanism:
The script includes an optional trailing stop feature, which adjusts the stop loss level as the market moves in favor of the trade. This helps lock in profits while allowing the trade to run if the trend continues.
The trailing stop is calculated as a percentage of the difference between the entry price and the current market price.
Multiple Take Profit Levels:
The strategy calculates seven take profit levels, each at incremental percentages above (for long trades) or below (for short trades) the entry price. This allows for gradual profit-taking as the market moves in the trade's favor.
Each take profit level can be customized in terms of the percentage of the position to be closed, providing precise control over exit strategies.
Strategy Backtesting and Results:
Realistic Backtesting:
The script has been backtested with realistic account sizes, commission rates, and slippage settings to ensure that the results are applicable to actual trading scenarios.
The backtesting covers various timeframes and markets to ensure the strategy's robustness across different trading environments.
Default Settings:
The script is published with default settings that have been optimized for general use. These settings include a 15-minute timeframe, a 1.0% stop loss, a 2.0 ATR multiplier for stop loss, and a 1.5% trailing stop.
Users can adjust these settings to better fit their specific trading style or the market they are trading.
How It Works:
Long Entry Conditions:
The strategy enters a long position when the price touches the 19% Fibonacci level (from high to low) or the reverse 19% level (from low to high) and confirms the move with a bullish candle.
If the "Use Break Strategy" option is enabled, the script will also enter a long position when the price breaks below the 19% Fibonacci level and then moves back up, confirming the break with a bullish candle.
Short Entry Conditions:
The strategy enters a short position when the price touches the 82.56% Fibonacci level and confirms the move with a bearish candle.
If the "Use Break Strategy" option is enabled, the script will also enter a short position when the price breaks above the 82.56% Fibonacci level and then moves back down, confirming the break with a bearish candle.
Stop Loss and Take Profit Logic:
The stop loss for each trade is calculated based on the selected method (fixed percentage or ATR-based). The strategy then manages the trade by either trailing the stop or taking profit at predefined levels.
The take profit levels are set at increments of 0.5% above or below the entry price, depending on whether the position is long or short. The script gradually exits the trade as these levels are hit, securing profits while minimizing risk.
Usage:
For Fibonacci Traders:
This script is ideal for traders who rely on Fibonacci retracement levels to find potential trade entries and exits. The script automates the process, allowing traders to focus on market analysis and decision-making.
For Trend and Swing Traders:
The strategy's flexibility in handling both touch and break entries makes it suitable for trend-following and swing trading strategies. The multiple take profit levels allow traders to capture profits in trending markets while managing risk.
Important Notes:
Originality: This script uniquely combines Fibonacci retracement levels with dynamic stop loss management and multiple take profit levels. It is not just a combination of existing indicators but a thoughtful integration designed to enhance trading performance.
Disclaimer: Trading involves risk, and it is crucial to test this script in a demo account or through backtesting before applying it to live trading. Users should ensure that the settings align with their individual risk tolerance and trading strategy.
Strategy
Indicator
Indicator
