Market Microstructure Pulse [JOAT]MARKET MICROSTRUCTURE PULSE
A composite microstructure oscillator that fuses three lower-timeframe-reconstructed flow primitives into a single bounded pulse line — the tick imbalance, the aggressive ask/bid streak, and the single-bar massive imbalance event. The pulse tells you in one number whether buyers or sellers are currently dominant at the tape level, and whether that dominance is at warning or extreme intensity.
Lower-timeframe reconstruction
Real microstructure lives below the chart timeframe. The pulse engine pulls intrabar prints from a configurable LTF (default 1 minute; auto-mode picks ~1/20 of the chart TF) and classifies each tick via the standard tick rule. The classified ticks are then EMA-smoothed by a configurable pulse length (default 14) and optionally volume-weighted (default ON) so a heavy print contributes proportionally more to the read than a light one.
The output is a smoothed signed value bounded approximately in where:
+1 — all recent ticks were buy-classified.
−1 — all recent ticks were sell-classified.
0 — perfectly balanced flow.
Aggressive streak histograms
Two separate counters track consecutive same-side ticks — one for aggressive asks, one for aggressive bids. When a streak exceeds the Aggressive Streak Min threshold (default 5), it qualifies as institutional persistence. The two histograms are rendered as a colour-coded background to the pulse line so you can see at a glance which side has been running consecutively. EMA-smoothed for visual stability.
Massive imbalance event
A single-bar event: when one side's share of total bar volume exceeds imbalancePct (default 80%), a Massive Imbalance event fires. This is the script's strongest single-bar read — institutional decisiveness landing on the tape.
Two-tier threshold system
Pulse Warning — |pulse| above the warning threshold (default 0.50). Inner band, visual reference.
Pulse Extreme — |pulse| above the extreme threshold (default 0.70). Triggers the Pulse Extreme alert and tints the chart background.
A toggleable Aggression Flip Marker prints a glyph at the bar where the pulse sign actually flips — useful for catching the moment dominance rotates sides.
Visual system
Pulse line in the iridescent palette (magenta buy / cyan sell) with configurable width.
Aggressive streak histograms — two-sided coloured columns behind the pulse (transparency configurable).
Threshold levels at ±warning and ±extreme (toggleable).
Gradient fill from pulse line to zero, coloured by current sign (transparency configurable).
Background tint on extreme — magenta or cyan tint when |pulse| is above extreme threshold (transparency configurable).
Aggression flip markers at sign-change bars (toggleable).
A locked Iridescent palette (magenta buy aggression / cyan sell aggression / yellow extreme accent on pure black) gives the pane a distinctive cyberpunk-tape identity.
Dashboard
Monospaced 11-row table positionable to any of nine corners. Surfaces:
Current pulse value with sign.
Buy streak count and sell streak count.
Aggressive side dominance with bar age.
Last extreme event direction with bars-ago.
Last flip direction with bars-ago.
Last massive imbalance event with bars-ago.
LTF in use, volume-weighting flag, pulse EMA length.
Threshold values for warning and extreme.
Alerts
Three alert conditions, each independently controllable:
Pulse Extreme — fires when |pulse| crosses above extreme threshold.
Aggression Flip — fires when pulse sign flips (positive ↔ negative).
Massive Imbalance — fires when a single bar's directional share exceeds the imbalance threshold.
How to read it
Three reads, in order of conviction:
Massive Imbalance alert at a structural level — the highest-conviction single read. Institutional decisiveness landed on the tape at a known S/R; the next directional move is more conviction-aligned with the imbalance side.
Pulse Extreme + matching aggressive streak — sustained dominance. The pulse is decisively past its extreme threshold AND the streak histograms show consecutive same-side runs above the streak minimum. This is the regime where momentum tools have their largest edge.
Aggression Flip after extreme — exhaustion read. The pulse hit extreme then flipped sign; the institutional commitment that drove the extreme has just rotated. Often produces clean reversals.
Suggested settings
Defaults (1m LTF, pulse EMA 14, streak EMA 7, volume-weighted ON, ±0.50 / ±0.70 thresholds, 80% imbalance, 5-tick streak min) are tuned for 5m–15m charts on liquid futures and crypto. For lower-timeframe scalping, drop LTF to 15s or 30s (Premium plan required) and pulse EMA to 8. For HTF, set LTF auto-mode and raise streak min to 10. The volume-weighting is the recommended default — without it, equal-tick instruments dominate the read regardless of size.
Originality
The implementation — the LTF tick-rule reconstruction with optional volume weighting, the bounded pulse formulation, the dual aggressive-streak histograms with EMA smoothing, the two-tier (warning / extreme) threshold system, the single-bar massive-imbalance detector, the aggression-flip marker logic, the chart-overlay extreme tinting, and the iridescent dual-hue palette — is JOAT-original. No third-party code reused. The pulse is the original composite formulation.
Limitations
Reconstructed tick direction is an inference — the tick rule is the accepted public-market proxy but it is not a direct read of bid/ask volume. Sub-minute LTFs require a PulseWire Premium or Ultimate plan. The pulse is bounded approximately in but extreme volume-weighted reads can briefly exceed those bounds; this is intentional and not a bug. EMA smoothing introduces a small lag; turn pulse length to 1 to see the raw imbalance.
—
-made with passion by jackofalltrades
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
DUAL MOMENTUMdual momentum
dual momentum is a visual momentum oscillator built to compare a fast momentum line and a slow momentum line inside a symmetric oscillator range.
the goal of this tool is to help traders read momentum expansion, momentum compression, bullish pressure, bearish pressure, crossovers, overbought areas and oversold areas in a clean separate pane.
this indicator is not a strategy and does not place trades. it does not predict the future and does not guarantee buy or sell signals. it is designed as a technical analysis tool for reading momentum context.
main idea
dual momentum uses a normalized price calculation to transform price movement into a bounded oscillator.
the fast line reacts more quickly to price movement.
the slow line reacts more slowly and gives a smoother momentum reference.
when the fast line is above the slow line, momentum is generally stronger on the bullish side.
when the fast line is below the slow line, momentum is generally stronger on the bearish side.
the distance between both lines helps show whether momentum is expanding or compressing.
what the indicator displays
fast momentum line
slow momentum line
bullish and bearish gradient fill
fast and slow spread ribbon
higher and lower flow bands
bull and bear rails
optional cross triangles
ob and os text markers
glow effect
separate buy and sell alert conditions
how to read the oscillator
the oscillator is centered around zero.
above zero, momentum is generally stronger.
below zero, momentum is generally weaker.
when the fast line crosses above the slow line, bullish momentum may be increasing.
when the fast line crosses below the slow line, bearish momentum may be increasing.
when both lines are far from zero, momentum is extended.
when both lines return toward zero, momentum is cooling down.
input guide
engine
source
selects the price source used for the main calculation.
common choices are close, open, high, low, hl2, hlc3 or ohlc4.
normalization window
sets how many bars are used to normalize price movement.
a higher value creates a smoother and more stable oscillator.
a lower value makes the oscillator more reactive but also more sensitive to noise.
fast smoothing
controls the speed of the fast momentum line.
lower values make the fast line react quickly.
higher values make the fast line smoother.
slow smoothing
controls the speed of the slow momentum line.
lower values make the slow line more reactive.
higher values make the slow line smoother and slower.
amplitude
controls how much the oscillator expands vertically.
higher values make the lines move farther from zero.
lower values keep the lines closer to the center.
range cap
sets the maximum positive and negative range of the oscillator.
this keeps the display symmetrical and prevents the lines from expanding too far.
flow bands
show higher / lower bands
shows or hides the upper and lower flow bands.
these bands help visualize where the oscillator is moving inside its higher and lower zones.
band length
sets the calculation length used for the flow bands.
a higher value makes the bands smoother.
a lower value makes the bands more reactive.
band smoothing
smooths the flow band calculation.
higher smoothing reduces noise.
lower smoothing reacts faster.
band inner edge
controls how deep the flow bands extend toward the center.
higher values create tighter bands.
lower values create larger bands.
bull / bear fill
gradient fill under line
shows or hides the bull and bear gradient fill around the oscillator.
this fill helps identify whether the oscillator is leaning bullish or bearish.
gradient transparency
controls the visibility of the gradient fill.
higher values make the fill lighter.
lower values make the fill stronger.
fast / slow spread ribbon
shows the colored ribbon between the fast and slow lines.
when fast is above slow, the ribbon uses the bullish color.
when fast is below slow, the ribbon uses the bearish color.
ribbons
show bull / bear rails
shows or hides the rail markers at the top and bottom of the oscillator pane.
these rails help show when the fast and slow spread becomes strong enough.
rail min strength
sets the minimum strength required before the rails appear.
higher values show fewer rail signals.
lower values show more rail signals.
signals
show cross triangles
shows or hides triangle markers when the fast line crosses the slow line.
this input is off by default to keep the chart cleaner.
show ob / os text
shows or hides overbought and oversold text markers.
the script displays only text markers, without boxes.
ob text appears above the upper rail.
os text appears below the lower rail.
overbought level
sets the level where the script can mark an ob event.
an ob event appears when the fast line crosses above this level.
oversold level
sets the level where the script can mark an os event.
an os event appears when the fast line crosses below this level.
glow
neon glow
shows or hides the glow around the fast and slow lines.
glow intensity
controls the strength of the glow.
higher values make the glow stronger.
lower values make it softer.
colors
fast / bull color
sets the color of the fast line and bullish visuals.
slow / bear color
sets the color of the slow line and bearish visuals.
buy triangle color
sets the color of the bullish triangle when cross triangles are enabled.
ob / os gold
sets the color of the ob and os text markers.
signals and alerts
buy condition
a buy condition happens when the fast line crosses above the slow line.
this does not mean automatic entry.
it only means the fast momentum line moved above the slow momentum line.
sell condition
a sell condition happens when the fast line crosses below the slow line.
this does not mean automatic exit or short entry.
it only means the fast momentum line moved below the slow momentum line.
ob condition
an ob condition happens when the fast line crosses above the overbought level.
this can show strong upside extension.
os condition
an os condition happens when the fast line crosses below the oversold level.
this can show strong downside extension.
beginner tutorial
step 1: start with the default settings
keep the default settings at first.
the default setup gives a balanced view between speed and smoothness.
step 2: watch the fast and slow lines
the fast line reacts first.
the slow line confirms the broader momentum direction.
when fast is above slow, bullish momentum is stronger.
when fast is below slow, bearish momentum is stronger.
step 3: use the zero line as balance
when both lines are above zero, momentum is generally positive.
when both lines are below zero, momentum is generally negative.
when both lines are close to zero, the market may be neutral or compressing.
step 4: read the spread ribbon
the ribbon between fast and slow shows the momentum spread.
a wider ribbon means stronger separation.
a smaller ribbon means momentum is compressing.
step 5: read the rails
rails appear when the fast and slow difference becomes strong enough.
bull rails show stronger bullish spread.
bear rails show stronger bearish spread.
step 6: use ob and os as extension warnings
ob means the fast line has reached an overbought extension area.
os means the fast line has reached an oversold extension area.
these markers are not automatic reversal signals.
they only show that momentum reached an extreme area.
step 7: use cross triangles only when needed
cross triangles are off by default.
turn them on only if you want visual markers for fast and slow crosses.
for a cleaner chart, keep them disabled and focus on the lines and ribbon.
step 8: confirm with price action
before using any signal, check the price chart.
look for trend direction, support and resistance, market structure, candle close and volume reaction.
do not use the oscillator alone.
example 1: bullish momentum shift
the fast line crosses above the slow line.
the spread ribbon turns bullish.
the oscillator is moving above zero.
this can suggest that bullish momentum is increasing.
a beginner should then check if price is also making higher highs or higher lows.
example 2: bearish momentum shift
the fast line crosses below the slow line.
the spread ribbon turns bearish.
the oscillator is moving below zero.
this can suggest that bearish momentum is increasing.
a beginner should then check if price is also making lower highs or lower lows.
example 3: overbought extension
the fast line crosses above the overbought level.
the script prints ob text above the rail.
this means momentum is stretched upward.
it does not mean price must reverse immediately.
a beginner should wait for rejection, loss of momentum or a structure shift before making any decision.
example 4: oversold extension
the fast line crosses below the oversold level.
the script prints os text below the rail.
this means momentum is stretched downward.
it does not mean price must reverse immediately.
a beginner should wait for support reaction, momentum recovery or a structure shift before making any decision.
example 5: compression before expansion
the fast and slow lines move close together near zero.
the spread ribbon becomes small.
this can show momentum compression.
if the fast line later separates strongly from the slow line, momentum may begin expanding again.
recommended beginner workflow
first, identify the market trend on the price chart.
second, check whether the oscillator is above or below zero.
third, compare the fast line with the slow line.
fourth, read the spread ribbon.
fifth, check for ob or os extension.
sixth, confirm with support, resistance, structure and candle close.
seventh, define risk before any trade idea.
best use cases
reading momentum direction
spotting momentum expansion
spotting momentum compression
watching fast and slow line crosses
identifying overbought and oversold extensions
supporting trend continuation analysis
supporting reversal watch zones
building simple momentum alerts
important notes
ob does not automatically mean sell.
os does not automatically mean buy.
cross triangles are only visual momentum markers.
the oscillator should be used with price action and risk management.
higher settings make the tool smoother.
lower settings make the tool faster.
no indicator can guarantee future market direction.
risk note
this indicator is for technical analysis and educational market study only. it does not provide financial advice, investment advice or guaranteed trading signals. all signals, levels, labels and alerts are references that require independent confirmation and proper risk management.
Indicator
Liquidity Sweep Warner - MMXM HunterHier ist eine professionelle englische Beschreibung für PulseWire:
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# Liquidity Sweep Warner – ICT / SMC Dashboard
The Liquidity Sweep Warner is designed for ICT and Smart Money Concepts traders who want a clear overview of whether key liquidity levels have already been taken during the trading day.
The indicator automatically tracks major external liquidity pools and displays their current status in a clean dashboard located in the top-right corner of the chart.
## Tracked Liquidity Levels
### Previous Day Liquidity
* Previous Day High (PDH)
* Previous Day Low (PDL)
### Asia Session Liquidity
Based on New York Time:
* Asia Session: 7:00 PM – 3:00 AM NY Time
* Asia High
* Asia Low
### London Session Liquidity
Based on New York Time:
* London Session: 3:00 AM – 9:30 AM NY Time
* London High
* London Low
### 1-Hour Main Swing Liquidity
The indicator automatically identifies major 1H swing highs and swing lows.
Default swing definition:
* Higher than the previous 3 candles
* Confirmed by 1 candle on the right
This can be customized in the settings.
## Sweep Detection
A liquidity level is considered swept immediately when price touches or exceeds the level.
No candle close is required.
Examples:
* High ≥ PDH → PDH is marked as TAKEN
* Low ≤ PDL → PDL is marked as TAKEN
This reflects the true concept of stop-hunt liquidity where even a single tick beyond the level is sufficient.
## Dashboard
The dashboard displays:
* PDH
* PDL
* Asia High
* Asia Low
* London High
* London Low
* 1H Main Swing High
* 1H Main Swing Low
Status colors:
* Green = TAKEN
* Red = OPEN
This allows traders to instantly see which liquidity pools remain available and which have already been cleared.
## Visual Chart Markings
Every tracked liquidity level is drawn as a horizontal line extending from its origin to the current price.
When a level gets swept:
* The line changes to gray
* The line becomes dashed
* An optional sweep label is printed on the chart
This makes it easy to visually confirm where liquidity has been taken.
## Alerts
The indicator can generate alerts whenever any tracked liquidity level is swept:
* PDH Swept
* PDL Swept
* Asia High Swept
* Asia Low Swept
* London High Swept
* London Low Swept
* 1H Main Swing High Swept
* 1H Main Swing Low Swept
Perfect for traders who want immediate notification when liquidity is removed from the market.
## Purpose
The goal of this indicator is simple:
Avoid trading directly into liquidity that has already been taken and maintain awareness of the next likely liquidity objective.
It provides a clear picture of market structure, external liquidity, and potential draw-on-liquidity targets throughout the trading day.
---
**Recommended Use:** ICT, SMC, MMXM, Liquidity-Based Trading, Market Structure Analysis, London Session Trading, New York Session Trading, Futures, Forex, Indices, and Crypto Markets.
Indicator
Gold Macro Dashboard [invincible3]Gold Macro Indicator Dashboard
A professional macro-driven gold dashboard designed to evaluate the broader gold market regime using automatically sourced PulseWire data. The indicator combines real yields, dollar strength, rate expectations, risk-off demand, gold breadth, and confirmation ratios into a single 0–100 Gold Macro Score.
The model uses a fixed daily macro timeframe, so dashboard readings stay consistent across intraday, daily, and weekly charts.
Main Features
Fixed Daily macro scoring
0–100 Gold Macro Score oscillator
Macro Regime classification
Macro Strength score
Real Yield driver
DXY / US Dollar driver
Gold liquidity proxy
US 2Y rate outlook
VIX risk-off signal
Cross-currency gold breadth
Gold/Silver ratio
Gold/S&P 500 ratio
Copper/Gold ratio
US 10Y–2Y yield spread
Crypto-style clean dashboard layout
Dark/light theme adaptive colors
No manual macro inputs
Score Interpretation
80–100: Strong Bull
60–80: Bullish
40–60: Neutral
20–40: Bearish
0–20: Strong Bear
How It Works
The composite score is weighted as follows:
Real Yield 10Y: 30%
US Dollar DXY: 25%
Gold liquidity proxy: 15%
US 2Y rate outlook: 10%
Risk-Off VIX: 10%
Gold breadth: 10%
Gold breadth checks whether gold is trending higher across major currencies, including XAUUSD, XAUEUR, XAUJPY, XAUGBP, and XAUCNH.
Use Case
This indicator is designed for traders and investors who want a macro-level view of gold’s trend quality. It can help identify whether gold strength is supported by broad macro conditions or only short-term price movement.
Disclaimer
This is an educational macro model only. It is not financial advice and should not be used as a standalone buy or sell signal. Always combine it with your own risk management, technical analysis, and market research. Indicator
Keltner Channel ATR StretchKeltner Channel ATR Stretch is a Keltner Channel variant designed to show trend bias, price stretch, and volatility width in one compact view.
The script uses an EMA basis with ATR-scaled upper and lower bands. In addition to the channel itself, it normalizes the selected Source's distance from the EMA basis as Stretch, normalizes the EMA basis slope in ATR units as Bias, and ranks the current channel width against its recent min-max range as Width Rank.
The goal is not to create trade signals. The goal is to make the current chart state easier to read: whether price is inside the channel, moving with a trend bias, pulling back toward the basis, stretching beyond the outer band, reaching an extreme band, or returning inside the channel after an outside move.
Dashboard reading:
Bias shows the EMA basis direction normalized by ATR:
Bullish, Bearish, or Neutral.
Position shows where the selected Source is relative to the channel:
Trend Zone, Pullback, Upper Stretch, Lower Stretch, Extreme, or Inside.
Volatility shows the current channel width regime:
Quiet, Normal, or Expanded.
Stretch shows the distance from the EMA basis in outer-channel units.
A value near +1 means price is near the upper outer band.
A value near -1 means price is near the lower outer band.
Slope shows the EMA basis slope in ATR units.
Width Rank shows the current channel width relative to its recent min-max range.
It is a simple 0-100 rank of the current width inside its own recent range, not a statistical percentile.
How it works:
The basis is an EMA of the selected Source.
The outer bands are calculated as:
Basis plus or minus ATR multiplied by the ATR Multiplier.
The inner bands are a fractional zone inside the outer channel.
The optional extreme bands are a wider reference zone outside the outer channel.
Stretch is calculated as:
Source minus Basis, divided by the outer channel half-width.
Slope is calculated as:
Current EMA basis minus the basis from the selected lookback, divided by ATR.
Width Rank compares the current channel width to the lowest and highest channel width over the selected Width Rank Lookback.
Markers and alerts:
Upper stretch and lower stretch mark movement beyond the outer bands.
Upper extreme and lower extreme mark movement beyond the optional extreme band level.
Upper return inside and lower return inside mark when the selected Source moves back inside the outer channel after being outside it.
Trend bias changed marks a change in the ATR-normalized EMA basis direction.
Width regime changed marks a change between Quiet, Normal, and Expanded width states.
The Confirmed bars only setting is enabled by default. When it is enabled, markers and alerts evaluate only on closed bars. The dashboard reflects the current chart state, including the still-forming bar.
This is not a trading system. It is a visual analysis tool for reading channel position, trend bias, and volatility context. It does not provide trade instructions, entries, exits, or performance claims.
Limitations:
Keltner Channels are volatility-based bands and can expand or contract as ATR changes.
A stretch beyond a band does not necessarily mean price must reverse.
A quiet width regime does not guarantee expansion.
A bullish or bearish bias does not predict future direction.
Use this tool together with your own market context and risk management.
No financial advice.
This open-source script was written from scratch using Pine Script built-ins. No third-party Pine code was reused.
日本語補足:
Keltner Channel ATR Stretch は、EMAを中心にATR幅のチャネルを表示しながら、価格の伸び、EMAの傾き、チャネル幅の状態を同時に確認するためのインジケーターです。
右上のDashboardでは、Bias、Position、Volatilityを中心に、現在のチャート状態をすばやく確認できます。
Bias はATRで正規化したEMAの傾きです。
Position は価格がチャネル内、トレンドゾーン、押し目、上方向または下方向の伸び、極端な伸びのどこにあるかを示します。
Volatility はチャネル幅がQuiet、Normal、Expandedのどの状態にあるかを示します。
このスクリプトは売買システムではありません。
BUY/SELL、エントリー、利確、損切りを指示するものではなく、トレンド・行き過ぎ・ボラティリティの状態を読みやすくするための視覚補助ツールです。 Indicator
Stock: Comparison Dashboard [invincible3]Stock: Comparison Dashboard
**Stock: Comparison Dashboard ** is a fundamental and market-strength comparison tool designed to compare two stocks side by side directly on the PulseWire chart.
The dashboard helps traders and investors quickly evaluate which stock is stronger across multiple financial dimensions, including growth, income statement strength, profitability, valuation, cash flow quality, financial strength, liquidity, dividend quality, and relative price strength.
Key Features
1. Two-Stock Comparison
Select any two symbols and compare their financial metrics side by side. The dashboard displays both raw values and category-based scores.
2. Fundamental Metrics
The indicator includes a wide set of financial metrics, such as:
* Revenue growth
* EPS growth
* Total revenue
* Operating income
* Net income
* Margins
* Return on equity
* Price-to-earnings ratio
* Price-to-sales ratio
* Free cash flow
* Debt ratios
* Current ratio
* Dividend yield
* Dividend payout ratio
3. Category Scores
The dashboard calculates separate comparison scores for:
* Growth Score
* Income Score
* Profitability Score
* Valuation Score
* Cash Flow Score
* Financial Strength Score
* Liquidity Score
* Dividend Score
* Relative Strength Score
4. Proportional Scoring System
The scoring system uses proportional comparison instead of simple winner-take-all logic.
For example, if one stock has 16% growth and another has 18% growth, the weaker stock does not receive 0. Instead, both stocks receive proportional scores based on how close their values are.
This makes the dashboard more realistic and useful for financial analysis.
5. Relative Strength Score
The Relative Strength Score compares the market performance of both stocks using:
* 3-month price performance
* 6-month price performance
* 12-month price performance
* Position within the 52-week range
* Distance from the 200-day moving average
This helps identify which stock has stronger market momentum.
6. Better / Weaker Value Highlighting
Better and weaker values are highlighted using text color instead of heavy background coloring. This keeps the table cleaner and easier to read.
7. Light and Dark Table Themes
The dashboard includes both light and dark table themes, making it suitable for different PulseWire chart layouts.
8. Customizable Rows
Each category allows the user to choose which metrics to display. Unwanted rows can be set to “None” to keep the dashboard clean.
How to Use
1. Select Stock 1 and Stock 2 from the indicator settings.
2. Choose the financial period: Quarter or Year.
3. Select the metrics you want to compare in each category.
4. Choose Light or Dark table theme.
5. Read the raw values and comparison scores to identify the stronger stock.
Interpretation
A higher score means the stock is stronger in that specific category.
Example:
* Higher Growth Score = stronger growth profile
* Higher Profitability Score = better profitability
* Higher Valuation Score = more attractive valuation
* Higher Financial Strength Score = stronger balance sheet
* Higher Relative Strength Score = stronger market momentum
Important Notes
This indicator uses PulseWire financial data. Some financial fields may be unavailable for certain stocks, exchanges, or periods. If a metric is unavailable, the table may show a dash.
PulseWire also has request limits, so the dashboard is designed to keep the number of active financial rows under control.
This indicator is intended for research, comparison, and educational analysis only. It is not financial advice. Always combine fundamental analysis with your own research, risk management, and market context.
Indicator
Indicator
Elaris Auto Trend Fibonacci ProElaris Auto Trend Fibonacci Pro
Overview
Elaris Auto Trend Fibonacci Pro is an advanced market structure and Fibonacci analysis tool designed to automatically identify directional trends, detect significant swing points, and project professional-grade Fibonacci retracement and extension levels directly on the chart.
Unlike manual Fibonacci drawing tools that require traders to constantly adjust anchor points, this indicator continuously analyzes confirmed swing structure and automatically maps the most relevant Fibonacci framework based on the current market trend.
The goal is to help traders quickly identify potential pullback zones, trend continuation areas, profit targets, and key reaction levels without manually redrawing Fibonacci levels throughout the trading session.
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How The Indicator Works
1. Swing Structure Detection
The indicator first identifies confirmed swing highs and swing lows using a configurable pivot confirmation algorithm.
A swing is only considered valid after confirmation, which helps eliminate many false or premature swing points that often appear during volatile market conditions.
The minimum swing size can also be filtered using ATR-based validation, ensuring that insignificant market fluctuations are ignored.
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2. Trend Identification
After detecting valid market structure, the indicator determines the dominant directional trend.
Bullish trends are identified when recent confirmed swing lows lead into higher confirmed swing highs.
Bearish trends are identified when recent confirmed swing highs lead into lower confirmed swing lows.
An optional EMA trend filter can be enabled to require alignment between price structure and moving average direction.
This additional layer helps reduce counter-trend Fibonacci projections.
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3. Automatic Fibonacci Mapping
Once a valid trend is detected, Fibonacci levels are automatically projected between the most relevant confirmed swing points.
The indicator plots:
• 0.236 Retracement
• 0.382 Retracement
• 0.500 Midpoint
• 0.618 Golden Ratio
• 0.786 Deep Retracement
• 1.000 Retracement
These levels represent areas where pullbacks, reactions, trend continuations, or reversals may occur.
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4. Golden Zone Highlighting
The area between the 50% and 61.8% retracement levels is automatically highlighted as the Golden Zone.
Many traders monitor this region because it often represents an area where institutional participants may re-enter an existing trend after a pullback.
The highlighted zone provides a quick visual reference for potential trend continuation opportunities.
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5. Extension Targets
The indicator can optionally project Fibonacci extension levels beyond the current trend.
Available extension targets include:
• 1.272 Extension
• 1.618 Extension
• 2.000 Extension
These levels can be used as potential profit-taking areas, trend continuation objectives, or future reaction zones.
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6. Trend Dashboard
A built-in dashboard provides real-time information including:
• Current trend direction
• Swing strength relative to ATR
• Fibonacci anchor direction
• Golden zone status
• Indicator operating mode
The dashboard helps traders evaluate current market conditions without needing additional analysis tools.
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How To Use
Trend Continuation
1. Wait for a confirmed bullish or bearish trend.
2. Allow price to retrace toward the highlighted Fibonacci levels.
3. Monitor the Golden Zone for potential continuation setups.
4. Use extension levels as potential target areas.
Pullback Analysis
The 38.2%, 50%, and 61.8% retracement levels can help identify areas where temporary corrections may end and the primary trend may resume.
Target Projection
The Fibonacci extensions can be used to estimate possible future trend objectives after a successful continuation move.
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Important Notes
• The indicator uses confirmed swing points and does not rely on future-looking calculations after confirmation.
• Fibonacci levels automatically update when a new confirmed market structure is established.
• The indicator is designed for trending markets and may generate fewer meaningful projections during prolonged ranging conditions.
• This tool is intended for technical analysis and should not be used as a standalone trading system.
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Best Markets
The indicator can be applied to:
• Cryptocurrency Markets
• Forex Markets
• Stock Markets
• Index Markets
• Commodity Markets
It is particularly effective on higher liquidity instruments where market structure tends to be more consistent.
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Best Timeframes
Recommended timeframes:
• 15 Minutes
• 1 Hour
• 4 Hours
• Daily
Higher timeframes generally produce more reliable market structure and Fibonacci projections.
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Alerts
The indicator includes alerts for:
• Trend direction changes
• Golden Zone interactions
• Key Fibonacci level breaks
These alerts can be integrated into trading workflows for additional monitoring and confirmation.
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Thank you for using Elaris Auto Trend Fibonacci Pro.
Indicator
Stock: Snowflake Analysis [invincible3]Stock: Snowflake Analysis
Stock: Snowflake Analysis is a visual fundamental-analysis radar indicator designed for stock traders and investors who want a quick, structured view of a company’s financial quality. The indicator converts multiple PulseWire financial metrics into normalized 0–100 scores and displays them as a six-axis snowflake/radar chart directly on the price chart.
The purpose of the indicator is to help users quickly evaluate a stock from several key perspectives: dividend quality, growth, inventory efficiency, financial stability, valuation, and future outlook. Each metric is transformed into a score, then plotted visually so the user can immediately see where a company is strong or weak. The current script uses six core categories: Dividend, Growth, Inventory, Stability, Valuation, and Future, and it draws the final score as a radar/snowflake polygon.
Main Concept
The indicator works by pulling available stock financial data from PulseWire using request.financial(). These values are then normalized into scores from 0 to 100.
A score near 100 means the company is strong in that category.
A score near 50 means the company is neutral or average.
A score near 0 means the company is weak in that category.
The final snowflake shape gives a quick visual overview:
A large, balanced snowflake suggests broad financial strength.
A small or uneven snowflake suggests weakness or imbalance.
A stretched shape shows that the company is strong in some areas but weak in others.
Six Core Financial Categories
1. Dividend Score
The Dividend axis evaluates whether the stock provides attractive and sustainable shareholder distributions.
It uses:
Dividend yield
Dividend payout ratio
The dividend yield is scored positively when it is higher, while the payout ratio is scored negatively if it becomes too high. A very high payout ratio may suggest that the dividend is less sustainable.
A strong Dividend score usually means the company has a decent yield without excessive payout pressure.
2. Growth Score
The Growth axis measures how well the company is expanding.
It uses:
Revenue growth
EPS growth
Gross margin
The score rewards companies with improving sales, stronger earnings, and healthier gross margins. A company with strong revenue growth but weak margins may receive a mixed score, while a company with both growth and profitability receives a stronger score.
This category is especially useful for identifying companies with improving business momentum.
3. Inventory Score
The Inventory axis evaluates operating efficiency, especially for businesses where inventory management matters.
It uses:
Inventory turnover
Inventory-to-revenue ratio
Higher inventory turnover is considered positive because it suggests that the company sells its inventory efficiently. A lower inventory-to-revenue ratio is also considered positive because it indicates that inventory is not becoming too heavy relative to sales.
This score is more useful for retail, manufacturing, consumer goods, and industrial companies. It is less meaningful for banks, software companies, or service businesses.
4. Stability Score
The Stability axis measures balance-sheet strength.
It uses:
Current ratio
Debt-to-equity ratio
A higher current ratio generally suggests better short-term liquidity, while a lower debt-to-equity ratio suggests lower financial leverage.
A strong Stability score means the company appears financially safer and less dependent on debt. A weak score may suggest liquidity pressure or excessive leverage.
5. Valuation Score
The Valuation axis evaluates whether the stock appears reasonably priced relative to earnings.
It uses:
Earnings yield
Price-to-earnings ratio
Earnings yield is calculated as:
Earnings Yield = EPS / Price × 100
A higher earnings yield is better. A lower P/E ratio is also better, up to a reasonable threshold. This category rewards companies that generate meaningful earnings relative to their current share price.
A high Valuation score may suggest the stock is cheaper relative to earnings, while a low score may suggest the stock is expensive or earnings are weak.
6. Future Score
The Future axis attempts to measure forward-looking quality.
It uses:
Sustainable growth rate
Forward P/E ratio
A higher sustainable growth rate improves the score, while a very high forward P/E lowers the score. This category tries to balance future growth potential with future valuation risk.
A strong Future score suggests the stock may have a reasonable combination of expected growth and forward valuation.
Final Score
The center score is calculated as the average of the six category scores:
Final Score = Average of Dividend, Growth, Inventory, Stability, Valuation, and Future
This final score is displayed in the center of the radar chart.
The score color changes dynamically using the indicator’s heatmap color theme:
Low scores appear in purple tones.
Mid scores appear in teal tones.
High scores appear in green/yellow tones.
This makes it easier to visually identify weak, neutral, and strong readings.
Visual Design
The indicator displays a clean snowflake/radar chart directly on the price chart. Each axis represents one financial category.
Visual components include:
Hexagonal grid rings
Axis lines
Category labels
Score markers
Filled snowflake polygon
Dynamic color based on total score
Optional historical comparison snowflake
The snowflake is placed to the right side of the latest bar using the Right Offset setting, so it does not cover the current candles.
Historical Comparison
The indicator includes an optional Historical Snowflake feature.
When enabled, it compares the current snowflake with a previous score profile based on the selected historical lookback.
For example:
Historical Lookback = 252 bars
This can be used as an approximate one-year comparison on daily charts.
The historical snowflake helps users see whether the company’s fundamental profile has improved, weakened, or remained stable over time.
Stock-Only Protection
This indicator is designed for stock symbols only because financial metrics such as dividend yield, payout ratio, EPS, revenue growth, and debt-to-equity are stock/company-specific data.
For non-stock symbols such as:
Gold
Forex pairs
Crypto
Indices
Commodities
the script does not draw the snowflake. Instead, it displays a warning message explaining that financial metrics are not available for those instruments.
This prevents misleading neutral scores from appearing on symbols where company financial data does not exist.
Input Settings
Radar Layout
Right Offset Bars
Moves the snowflake to the right side of the latest candle.
Scale Lookback
Controls the price range used to vertically scale the snowflake on the chart. This does not affect the financial scores.
Width
Controls the horizontal size of the radar.
Height %
Controls the vertical size of the radar relative to the recent price range.
Label Distance
Controls how far the category labels are placed from the radar center.
Visual Styling
Show Grid Rings
Turns the hexagonal background rings on or off.
Show Axis Lines
Turns the center-to-axis guide lines on or off.
Show Axis Labels
Shows or hides the category names and scores.
Show Score Markers
Shows or hides circular markers at each snowflake point.
Dynamic Colors
When enabled, the snowflake color changes based on the total average score.
Marker Size
Controls the size of the score markers.
Historical Comparison
Show Historical Snowflake
Displays a previous score profile for comparison.
Historical Lookback Bars
Defines how far back the comparison should be calculated.
How to Interpret the Snowflake
A strong stock usually shows:
A broad and balanced snowflake
High Growth and Stability scores
Reasonable Valuation score
Improving Future score
A risky or weak stock may show:
A compressed snowflake
Very low Stability
Weak Growth
Expensive Valuation
Poor Future score
An unbalanced company may show a stretched snowflake. For example, a high Growth score but low Stability and Valuation scores may indicate a fast-growing but financially risky or expensive company.
Best Use Cases
This indicator is useful for:
Quick stock screening
Comparing companies visually
Identifying financial strengths and weaknesses
Monitoring changes in a company’s financial profile
Combining fundamentals with technical analysis
Long-term investing and swing-trading research
It is especially helpful when comparing stocks within the same sector.
Important Notes
The indicator uses a generic scoring model. Different sectors naturally have different financial structures.
For example:
Banks do not use inventory metrics in the same way as retail companies.
Utilities often carry higher debt.
Technology companies may have low dividend scores but strong growth.
Retail and manufacturing companies rely more heavily on inventory efficiency.
Because of this, the scores should be interpreted with sector context.
Limitations
This indicator should not be used as a standalone buy or sell signal.
Financial data can be delayed, unavailable, or inconsistent depending on the symbol and exchange. When a financial metric is missing, the script uses a neutral internal fallback value to keep the radar visually stable.
The indicator is best used as a summary and comparison tool, not as a complete valuation model.
Disclaimer
Snowflake Analysis is an educational and research tool. It is not financial advice. Users should always combine this indicator with their own analysis, sector research, risk management, and broader market context before making trading or investment decisions. Indicator
Ribbon Conviction SystemRibbon Conviction System — Trend, Flow, Value and Adaptive Stop
Overview
This is a single decision-support system for intraday traders. It answers three questions on one chart: which way is the trend, how much conviction is behind the current move, and where a logical trailing stop sits. A moving-average ribbon defines direction, a conviction score from 0 to 100% grades every signal, and an adaptive volatility stop marks risk. The components are designed to work together as one filtered signal, not as a loose collection of separate indicators.
Why these components are combined
A moving-average crossover on its own fires constantly in sideways markets and gives no sense of whether a cross is meaningful. Each part added here exists to fix a specific weakness of the part before it, so the result is one filtered signal rather than several indicators stacked on a chart.
Ribbon (direction). Five Fibonacci-length averages — 8, 13, 21, 34, 55 — using a mix of Hull, EMA and Kaufman Adaptive Moving Average (KAMA). The KAMA anchors deliberately flatten in choppy conditions, so the ribbon stops giving direction when there is no trend. Weakness it leaves open: a crossover can still fire on a weak, low-conviction move.
Conviction score (filter). Instead of taking every crossover, each signal is graded 0–100% by blending four independent readings of the same bar, chosen because they measure different things rather than repeat each other:
Buy/sell flow — net buying versus selling pressure, inferred from lower-timeframe price-and-volume behaviour.
Effort vs move — how far price travelled for the volume spent; absorption and churn are penalised.
Trend quality — Kaufman Efficiency Ratio: directional travel divided by total path, separating trend from noise.
Price location — is price on the right side of value? Blends session VWAP slope, a swing-anchored VWAP, the session volume-profile value area (VAH/VAL/POC), and the prior session's VWAP and unfilled POC.
A flow-toxicity proxy (VPIN-style) then lowers the score when flow looks one-sided and unstable. Weakness it leaves open: all four readings come from the chart timeframe, so they can agree for the wrong reason.
Higher-timeframe agreement (independent confirmation). The same volatility-stop direction is computed on 3×, 5× and 15× the chart timeframe and folded in as a multiplier, not a fifth blended input. It is kept separate precisely because it is the one genuinely independent check on the chart-timeframe score: full agreement raises conviction, disagreement lowers it.
Adaptive volatility stop (risk). A Chande-style volatility stop whose ATR period and multiplier adapt through the Efficiency Ratio, so the stop tightens in clean trends and widens in chop. This turns the tool from "where is the signal" into "where is my risk if I take it."
How they work together
Direction (ribbon) decides the side. The conviction score decides whether a crossover on that side is worth showing and how strongly. Higher-timeframe agreement scales that conviction up or down. The adaptive stop shows the exit reference. Every signal is the product of all four stages working in sequence.
What it plots
The five-average ribbon with shaded bands; the 55 line is the bold trend-reference band.
Signal badges at qualifying crossovers, labelled with the band crossed and the conviction percent (for example "21 65%").
Optional value references: session VWAP, swing-anchored VWAP with bands, volume-profile VAH/VAL/POC, and the prior session's VWAP and POC.
The adaptive volatility stop as a step line with a live distance label.
A compact dashboard summarising trend, conviction and each component, higher-timeframe agreement, the stop, and the data mode.
A small higher-timeframe agreement ribbon.
How to use
Add it to an intraday chart. The defaults suit index futures, but direction works on any symbol.
Spot vs futures: many spot indices publish no real volume, which the flow, value-area and toxicity parts depend on. Under "Data source" the script auto-detects this and switches the volume-based parts to a time-at-price method so everything still works; you can also set the mode manually. The dashboard "Data" row shows which mode is active.
Trade in the ribbon's direction. Prefer signals with a higher conviction percent and higher-timeframe agreement, and treat low-conviction crosses as noise. Use "Hide signals weaker than" to suppress them.
Use the adaptive stop as a trailing-risk reference, sized to your own plan.
The "Look & size" group controls signal size, dashboard size and position, a "Minimal" preset (ribbon + signals + stop only), and band lightness.
Originality
The individual techniques — adaptive moving averages, the Efficiency Ratio, effort-versus-result, VWAP, volume profile and volatility stops — are publicly documented. What is original here is the integration: a single conviction score that fuses chart-timeframe flow, effort, efficiency and value, damps it by flow toxicity, and scales it by independent higher-timeframe agreement, then gates an adaptive-stop-aware signal on that score. The components were selected so each covers a distinct weakness, and redundant filters were deliberately left out to keep one clear signal.
Credits
Perry Kaufman — Adaptive Moving Average and Efficiency Ratio. Tushar Chande — Volatility Stop concept. The effort-versus-result component is an original, compact reimplementation inspired by the publicly described effort-versus-result method from the volume-spread-analysis lineage.
Disclaimer
This script is for education and information only. It is not financial, investment or trading advice and does not guarantee any outcome. Signals describe current conditions; they do not predict the future. Markets carry substantial risk of loss. Volume-based readings depend on the data feed and are unreliable on instruments without real volume. Always test on your own market and timeframe, and manage risk with your own stops and position sizing. The author is not a licensed financial advisor; consult a qualified professional before making financial decisions. You are solely responsible for your own trading decisions. Indicator
HTF Candle Volume Profile [ChartPrime]🔶 OVERVIEW
Traders often lose sight of the "big picture" when focused on lower timeframe (LTF) price action. The HTF Candle Volume Profile bridges this gap by projecting Higher Timeframe (HTF) candles—such as Daily or 4-Hour bars—directly onto your current chart.
Unlike standard HTF candles, this indicator includes a **built-in Volume Profile for each candle**, revealing exactly where the most trading activity occurred within that specific higher timeframe period.
🔶 KEY CONCEPTS: SYNTHETIC PROJECTION
This tool uses a "projection" method, meaning it draws the HTF candles and their profiles to the right of the current price action. This prevents chart clutter and allows you to compare the internal volume structure of the current and previous HTF candles side-by-side.
Synthetic Candles: Represents the OHLC (Open, High, Low, Close) of the higher timeframe.
Intra-Candle Volume Profile: A horizontal histogram built into the candle body showing volume distribution.
Point of Control (POC): The specific price level within the HTF candle that saw the highest volume.
🔶 VISUAL COMPONENTS
Projected Candle Slots: You can display up to four candles:
* Candle 1 (C1): The currently forming HTF candle (updates in real-time).
* Candles 2-4 (C2-C4): The most recent historical closed HTF candles.
POC Level Lines: A dashed orange line (customizable) extends from the profile back across your chart, marking the "fairest price" of that HTF period.
High/Low Level Lines: Dotted lines marking the extremes of the HTF candles, providing immediate targets for liquidity sweeps or support/resistance.
Price Labels: Optional tags that display the exact price of the High, Low, and POC for precise order entry.
🔶 INDICATOR PARAMETERS
Timeframe (HTF): Choose the "Anchor" timeframe (e.g., set to "D" while trading on the 15m chart).
Profile Bins: Adjust the resolution of the volume histogram. Higher values provide a more granular look at price "nodes."
Projection Offset: Moves the projected candles further to the right to keep your current price action clear.
Style Controls: Fully customize the colors for bullish/bearish candles and the Point of Control.
🔶 TRADING APPLICATIONS
Identifying Institutional Value: The POC of an HTF candle is where "Big Money" is most active. When price returns to a previous HTF POC, it often finds significant support or resistance.
Trend Confirmation: Watch the "Migration" of the POC. If the POC of C1 is higher than the POC of C2, the HTF trend is healthily bullish.
Targeting Liquidity: The High and Low level lines projected by the indicator act as natural "draws on liquidity." Traders often look for price to sweep these HTF levels before looking for a reversal.
🔶 CONCLUSION
The HTF Candle Volume Profile is an essential tool for multi-timeframe analysis. It allows you to see not just *where* price went on a higher timeframe, but *how much business* was conducted at every price point along the way. Indicator
Indicator
Fibonacci Retracement Statistics by VolProfexFIBONACCI RETRACEMENT STATISTICS BY VOLPROFEX
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DESCRIPTION
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Fibonacci Retracement Statistics is an analysis tool that
automatically detects price swings, tracks retracements within each trend,
and calculates how often price retraces to various Fibonacci levels. The
indicator labels every completed swing with its swing number and deepest
fib level reached (e.g. "▲ #12 78.6%"), and displays a statistics table
showing the count and percentage of swings reaching each level.
All visual elements (trend boxes, fib lines, retracement boxes, labels, and
the statistics table) are drawn only on the last chart bar, keeping the
indicator performant during real-time scrolling. Retracement labels update
in real time so you always see the current value for the active swing.
HOW IT WORKS
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1. SWING DETECTION (ATR-Deviation ZigZag)
A volatility-adaptive ZigZag engine finds pivot highs and lows. A pivot
is confirmed when price moves against the current leg by at least
ATR(period) × deviation multiplier. A minimum swing size filter discards
insignificant wiggles. A spike filter rejects reversals triggered by
bars with extreme wick-to-body ratios.
2. HIGHER-TIMEFRAME (HTF) CONTEXT (optional)
When enabled, the indicator loads data from a higher timeframe (default: 1h)
and runs the same ZigZag engine on it. Completed HTF swings are drawn as
translucent boxes on the chart. Local swings are filtered to only count
when their direction matches the HTF swing they fall inside. This removes
counter-trend noise within the larger structure.
A separate gate ("Exclude Retracements outside HTF swing") further filters
retracement contributions: only retracements where both the trend leg and
the counter-trend leg fall inside the same completed HTF box are counted
in statistics and drawn on the chart.
3. TREND & RETRACEMENT TRACKING
Alternating pivot types (high → low → high → ...) create directional
trends. For each unfinalised trend, the indicator tracks the extreme
retracement price bar by bar. When the trend completes, the retracement
percentage is calculated using the actual counter-trend leg. This value is
then compared against each enabled Fibonacci level.
4. FIBONACCI LEVEL COUNTING
A cumulative counting system tallies how many trends have retraced to
each enabled level. Levels available include: 23.6%, 38.2%, 50.0%, 61.8%,
78.6%, 88.6%, 100.0%, 127.2%, 138.2%, 150.0%, 161.8%, plus up to 5
custom levels (0–500%). The statistics table is split into UP and DOWN
sections, each with its own Level / Count / Percent columns.
5. INTRADAY TIME WINDOW (optional)
On intraday charts, you can set a session window (e.g. 09:30–16:00) to
restrict which swings are analysed. Choose between "Pivot Confirmed Inside"
(the confirming bar's timestamp must fall in the window) or "Full Cycle
Inside" (both the pivot start and confirmation must fall in the window).
A visual box overlay can be enabled to highlight the active window.
6. SPIKE FILTER
Optionally discard ZigZag reversals triggered by bars where the upper or
lower wick exceeds the body by a user-defined ratio. This helps avoid
false pivot signals from sudden, low-liquidity spikes.
SETTINGS REFERENCE (defaults optimised for BTCUSDT, 5m chart, 1h HTF)
---------------------------------------------------------------------
── SWING ENGINE ──
- ATR Period: 14
Period for ATR calculations. Shared by local ZigZag and HTF swing detection.
- ZigZag Deviation Multiplier (ATR ×): 3.0
Pivot confirmed when price reverses by ATR × this value.
- Min Swing Size (ATR multiple): 0.8
Legs smaller than ATR × this are discarded. Set 0 to disable.
── HTF CONTEXT ──
- Use Higher Timeframe Swing Context: ON
When enabled, local swings are counted only when their direction matches the
current HTF swing bias.
- HTF Timeframe: 60
Higher timeframe for context. Must be higher than the chart timeframe.
- HTF Swing Deviation (ATR ×): 3.5
ATR multiplier for HTF pivot reversals.
- HTF Min Swing Size (ATR ×): 1.5
Minimum leg size for HTF swings. Set 0 to disable.
- Exclude Retracements outside HTF swing: ON
When enabled, only retracements fully contained within a completed HTF swing
box contribute to statistics and visual output.
- Show HTF Swings: ON
Draws HTF major swing boxes on the chart (Blue = upswing, Red = downswing).
- HTF Bull Color / HTF Bear Color: Blue (50% transp) / Red (50% transp)
── FIBONACCI LEVELS ──
- Levels enabled by default: 23.6%, 38.2%, 50.0%, 61.8%, 78.6%, 100.0%,
138.2%, 161.8%
- 5 custom level slots, each 0.0–500.0%. Set to 0.0 to disable. Default: all 0.0
── FILTERS ──
- Trend Direction: Both
Options: Both / Uptrends Only / Downtrends Only
- Use Intraday Time Window: OFF
When ON, applies a daily clock window on intraday charts.
- Window Session: 0930-1600
- Window Mode: Pivot Confirmed Inside
Options: Pivot Confirmed Inside / Full Cycle Inside
- Window Timezone: Exchange (uses the symbol's exchange timezone)
- Show Time Window Box: OFF
Visual box highlighting the active intraday window.
- Enable Spike Filter: ON
Discard reversals triggered by spike bars.
- Max Wick-to-Body Ratio: 4.0
Threshold for spike detection (wick ≥ this × body).
── DISPLAY ──
- Show Trend Boxes: ON (Border Width: 1)
Bullish: Teal / Bearish: Maroon
- Show Fib Lines: ON (Width: 1, Style: Dashed, Color: Gray at 60% transp)
- Show Fib Labels: ON (Position: Right, Vertical: Center, Size: Small, Color: White)
- Show Retracement Boxes: ON (Color: Orange at 40% transp)
- Show Retracement Labels: ON (Position: Center, Vertical: Below, Size: Small, Color: Yellow)
- Max Trends Drawn: 50 (1–500)
── TABLE ──
- Table Position: Top Right
- Font Size: Small
VISUAL OUTPUT
-------------
1. Trend Boxes: Translucent coloured boxes spanning each completed swing leg.
2. Fib Lines & Labels: Dashed (or solid/dotted) lines at each Fibonacci level
with optional percentage labels on every completed swing.
3. Retracement Boxes: Overlay boxes on the counter-trend leg with a connecting
diagonal line, colour-coded by trend direction.
4. Retracement Labels: Labels on each retracement showing:
- Arrow direction (▲ = uptrend, ▼ = downtrend)
- Filtered swing number
- Deepest Fibonacci level reached
5. HTF Swing Boxes: Larger translucent boxes showing higher-timeframe swing
structure (blue = up, red = down).
6. Statistics Table: A table in one of four corners displaying:
- Level | Count | Percent for uptrends (teal header)
- Level | Count | Percent for downtrends (maroon header) Indicator
Heikin Ashi Cloud Overlay | Rainbow MatrixGENERAL OVERVIEW
The Heikin Ashi Cloud Overlay renders a Heikin Ashi cloud directly on top of traditional candlesticks, giving traders both views in a single chart. HA candles smooth macro trend perception by filtering individual-bar noise, but they sacrifice entry-bar precision because each HA candle does not represent the actual price range traded on that bar. This script preserves both signals simultaneously: the HA cloud surfaces directional context, while the underlying real candles preserve precise execution-bar timing.
A compact corner HUD reports current HA direction, consecutive streak length, and body-size anomalies relative to a 20-bar rolling average — useful for monitoring momentum exhaustion and impulsive expansion in real time without analyzing the cloud manually.
The script adds a visual intelligence layer on top of the standard HA pattern: cloud fill opacity dynamically reflects body intensity (impulsive bars render densely opaque, normal bars render lightly), and small colored dots flag body anomalies (current body > 3× rolling average) directly on the chart.
WHAT IS THE THEORY BEHIND THIS INDICATOR?
Heikin Ashi candles are derived from traditional OHLC via a recursive smoothing formula introduced by Munehisa Homma in 18th-century Japanese rice trading and popularized in modern Western technical analysis through the work of Dan Valcu and others. The transformation produces candles that emphasize trend persistence over discrete price action: consecutive same-color HA candles indicate ongoing directional pressure, while doji-like HA candles or sudden color flips often signal pivots.
The trade-off is well-known: HA candles do not show real OHLC. The haOpen of each candle is the average of the previous haOpen and haClose, not the actual session open. This makes HA excellent for trend reading but unreliable for entry timing — orders need to reference the actual price range of the bar, not the smoothed projection.
The conventional solutions are either to switch back and forth between HA and regular candle views (cognitive overhead), or to use HA as the primary chart and lose precision on entries (execution cost). This indicator takes a third approach: render the HA candles as a transparent overlay envelope on top of the standard candlesticks. The trader sees both at once. The HA envelope communicates trend context; the underlying candles preserve real-bar precision.
The state machine layered on top — direction tracking, streak counting, and body-size anomaly detection against a rolling average — converts the visual cloud into a numerical readout, surfacing exhaustion and impulsive moves that might be missed at a glance.
HA CLOUD OVERLAY FEATURES
The indicator includes 5 main components:
Heikin Ashi Cloud Overlay
Body Intensity Modulation (dynamic opacity)
Body Anomaly Visual Markers
HA State HUD Panel
Three Optional Alerts
HEIKIN ASHI CLOUD OVERLAY
🔹 What It Does
For each bar on the chart, the indicator computes the four Heikin Ashi values (haOpen, haClose, haHigh, haLow) using Pine Script's canonical recursive formula. It then renders a thin envelope between haHigh and haLow with semi-transparent fill, plotted on top of the underlying traditional candles.
🔹 Method
The computation follows the standard HA definition:
◇ haClose = (open + high + low + close) / 4
◇ haOpen = average of the previous haOpen and the previous haClose (recursive)
◇ haHigh = max of (high, haOpen, haClose)
◇ haLow = min of (low, haOpen, haClose)
A `var float ha_open = na` seed pattern handles the first-bar initialization safely, avoiding NA propagation that would corrupt the recursive chain.
🔹 Visual Behavior
The envelope is rendered as a thin top-bottom band with translucent fill. The fill color reflects the HA direction: bullish (haClose ≥ haOpen) renders in the configured bull color (PulseWire native teal by default); bearish (haClose < haOpen) renders in the bear color (PulseWire native red by default). An optional midline (dotted) at the (haOpen + haClose) / 2 level can be toggled for traders who prefer an explicit midpoint reference.
BODY INTENSITY MODULATION
🔹 What It Does
The cloud fill transparency is dynamically modulated based on the current HA body size relative to the 20-bar rolling average. Bars with above-average body push the fill toward more opaque, surfacing impulsive expansion clusters visually without requiring HUD analysis.
🔹 Tier Logic
◇ Body < 1× average: standard transparency (user-configured slider value)
◇ Body 1-2× average: −10 transparency (notable bar — slightly more opaque)
◇ Body 2-3× average: −30 transparency (strong bar — clearly more opaque)
◇ Body ≥ 3× average: −50 transparency, floor 20 (anomaly — densely opaque)
The floor cap of 20 prevents the fill from becoming so opaque that the underlying candle wicks become unreadable, preserving the dual-view principle of the indicator.
🔹 Why It Helps
Body intensity modulation converts the cloud from a static color band into a momentum-aware visualization. During quiet conditions, the cloud whispers; during impulsive expansion or capitulation phases, the cloud intensifies visually. Traders monitoring multiple charts can identify regime changes peripherally without focusing on any single chart's HUD.
🔹 Toggle
The feature is enabled by default and can be disabled via the "Body Intensity Cloud Opacity" input in the HA CLOUD group, which restores fixed transparency from the slider.
BODY ANOMALY VISUAL MARKERS
🔹 What It Does
A small colored dot appears on the chart whenever the current HA body exceeds 3× the 20-bar rolling average. Bull anomalies render as a dot below the bar (location.belowbar); bear anomalies render as a dot above the bar (location.abovebar). Dot colors match the configured bull/bear palette.
🔹 Why It Helps
The markers convert the alert-only body anomaly detection into a persistent visual signal that remains visible on chart history. Traders reviewing past price action can identify impulsive expansion or capitulation events at a glance, without scrolling through alert history or replaying bars.
🔹 Independent of the Alert
The visual markers and the body anomaly alert are independently toggleable. Traders can show the markers without enabling the alert (visual-only mode) or enable the alert without showing the markers (sound/notification-only mode).
🔹 Toggle
Enabled by default via the "Show Body Anomaly Markers" input in the HA CLOUD group.
HA STATE HUD PANEL
🔹 What It Shows
A compact 4-row corner panel reports three live values:
◇ Direction — current HA candle direction (Bull / Bear), color-coded
◇ Streak — consecutive same-direction count (in current locale, e.g., "7 velas (candles)" in PT)
◇ Avg Body — the average HA body size over the last 20 bars, expressed as a percentage of price
🔹 Why It Helps
The HUD converts the cloud into a numerical readout. Instead of visually estimating streak length or body proportion, traders can read the exact values on each bar. This is particularly useful for traders monitoring multiple charts or running automated rules where consecutive-bar conditions need to be tracked precisely.
🔹 Customization
The HUD can be positioned in any of the four chart corners and rendered in any of five font sizes. The Direction row uses contrasting colors (bull vs bear) for immediate parsing.
THREE OPTIONAL ALERTS
🔹 Alert Types
Each alert is independently toggleable in the indicator settings:
◇ HA Direction Change — fires on the close of a confirmed bar when the HA direction flips (bull→bear or bear→bull). Useful as a confirmation filter on top of other entry signals.
◇ HA Streak Exhaustion — fires when the absolute streak length crosses a user-configurable threshold (default 7). Long consecutive streaks often precede mean-reversion phases, especially in ranging markets.
◇ HA Body Anomaly — fires when the current HA body exceeds 3× the 20-bar rolling average. Anomalous body sizes typically signal impulsive expansion, capitulation, or news-driven moves worth investigating.
🔹 Firing Mechanism
All alerts are gated by `barstate.isconfirmed`, which means they only trigger on the close of the bar that satisfies the condition — never intra-bar. This prevents false signals from intrabar fluctuations that get rejected before close. Each alert uses `alert.freq_once_per_bar` to avoid duplicate firings on the same candle.
🔹 alertcondition() Mode
A dummy `alertcondition` titled "HOW TO SETUP ALERTS (READ)" is exposed at the bottom of the script. It provides setup guidance via its message field, instructing users to select "Any alert() function call" in the PulseWire alert condition menu and filter individual alerts via the indicator settings.
MULTILINGUAL INTERFACE
The indicator supports five languages for the HUD display and alert messages: English (default), Português, Español, Русский, and 中文 (Chinese). Code, comments, and configuration tooltips remain in English regardless of the selected language.
For reference, examples of multilingual UI strings used in the HUD:
◇ Direction labels: "Direction:" / "Direção:" / "Dirección:" / "Направление:" / "方向:"
◇ Direction text: "🟢 BULL"/"🔴 BEAR" / "🟢 ALTA"/"🔴 BAIXA" / "🟢 ALCISTA"/"🔴 BAJISTA" / "🟢 БЫЧИЙ"/"🔴 МЕДВЕЖИЙ" / "🟢 多头"/"🔴 空头"
◇ Streak units use a bilingual pattern: "candles" stays in English as a universal technical term; native terms appear in parentheses where the local equivalent is well-established (e.g., "7 velas (candles)").
CUSTOM PALETTE TOGGLE
🔹 What It Does
By default, the indicator uses native PulseWire teal/red colors for visual familiarity. A "Use Custom Cloud Colors" toggle in the settings switches to user-configurable bull/bear colors, useful for traders who want to align the cloud palette with their personal indicator stack or color preferences.
HOW TO USE
This indicator is a visualization tool, not a signal generator. It surfaces three categories of structural information: HA direction (smoothed trend context), streak length (momentum persistence), and body anomalies (impulsive moves).
🔹 Reading the Cloud
◇ Bull cloud (default teal) = current HA candle is bullish (haClose ≥ haOpen).
◇ Bear cloud (default red) = current HA candle is bearish (haClose < haOpen).
◇ A long sequence of same-color HA candles indicates strong directional pressure; mixed colors or doji-like HA candles indicate consolidation or pivot zones.
◇ Cloud density (opacity): denser fills mark bars with above-average body — pay attention to these zones, they often correspond to ignition or capitulation phases.
◇ Anomaly dots: when a dot appears below a bull bar or above a bear bar, the bar's body is 3× the recent average — exceptional impulse worth contextualizing against your other signals.
🔹 Reading the HUD
◇ Direction row: parse the current HA candle's directional state at a glance.
◇ Streak row: |streak| ≥ 7 → trend is mature, increasing probability of mean reversion or pullback. Streak just flipped sign → fresh direction.
◇ Avg Body row: current bar body > 3× this value → impulsive expansion or capitulation, worth investigating contextually.
🔹 Tactical Reading
◇ HA color flip + confirmation on the underlying candle: potential trend reversal or pullback entry.
◇ HA streak crosses the exhaustion threshold while price approaches a key level (from another indicator or manual S/R): increased probability of structural reaction.
◇ Body anomaly during otherwise quiet conditions: impulsive move (often news-driven or stop-cascade) — trade with reduced size or wait for retest.
◇ Cluster of dense-opacity bars: regime change or ongoing impulsive move — momentum is structurally elevated.
🔹 Multi-Indicator Workflow
The HA Cloud Overlay is designed to layer cleanly with other indicators. It does not add lines or boxes that compete visually with structural indicators (VWAP, Volume Profile, S/R). The cloud sits behind the candles, the markers are minimal dots, and the HUD sits in a corner — total chart footprint is minimal.
INPUTS EXPLAINED
🔹 System Language
Display language for the HUD and alert messages. Options: English (default), Português, Español, Русский, 中文.
🔹 Show Cloud Envelope
Master toggle for the HA top-bottom envelope and fill.
🔹 Cloud Fill Transparency
Base alpha of the cloud fill (60 = denser, 95 = barely visible). Floor of 60 keeps candle wicks readable. Default 80. When Body Intensity Modulation is ON, this value is the baseline; bars with above-average body intensity become progressively more opaque from this baseline.
🔹 Show HA Midline (dots)
Optional thin dotted line at (haOpen + haClose) / 2.
🔹 Use Custom Cloud Colors
OFF: native PulseWire teal/red. ON: apply custom bull/bear colors below.
🔹 Custom Bull Color / Custom Bear Color
Used when "Use Custom Cloud Colors" is ON.
🔹 Body Intensity Cloud Opacity
When ON: cloud fill becomes progressively more opaque on bars with above-average body size. When OFF: cloud uses fixed transparency from the slider above. Recommended ON.
🔹 Show Body Anomaly Markers
When ON: small colored dots appear on bars whose body exceeds 3× the 20-period average. Independent of the body anomaly alert.
🔹 Show HA State HUD
Toggle for the corner HUD reporting Direction / Streak / Avg Body.
🔹 HUD Position
Top Right (default), Top Left, Bottom Right, Bottom Left.
🔹 Font Size
Tiny, Small (default), Normal, Large, Huge.
🔹 Streak Warning Threshold
Streak length at which the Streak Exhaustion alert fires. Range 3–30, default 7.
🔹 Alert: HA Direction Change / HA Streak Extreme / HA Body Anomaly
Independent toggles for each of the three alert types.
IMPORTANT NOTES
The Heikin Ashi Cloud Overlay works on any timeframe and any instrument. The HA computation is timeframe-agnostic — it transforms whatever OHLC data the chart provides.
Alerts fire once per confirmed bar. Historical bars never repaint after they close. The live bar updates intra-bar as expected for a real-time indicator, but alerts will only fire after the bar closes. Body anomaly visual markers can update intra-bar (preview behavior) and settle on close.
The body anomaly threshold (3× rolling average) and streak warning threshold (default 7) are derived from empirical observation across common timeframes and instruments. Both are user-configurable and should be tuned to the trader's instrument and timeframe — high-volatility crypto on 1m may warrant a higher anomaly multiplier than large-cap equities on Daily.
The 20-bar body rolling average uses `ta.sma` of the percentage-based body size. The first 20 bars after script start will show partial values; once enough history is available, the value stabilizes.
The body intensity modulation tier floors (50, 30, 20) are calibrated to preserve candle wick readability even on extreme anomaly bars — the floor 20 ensures the cloud never becomes fully opaque.
Pine Script v6. Open-source under Mozilla Public License 2.0.
UNIQUENESS
The Heikin Ashi Cloud Overlay differs from the standard PulseWire Heikin Ashi chart type and from other HA-based indicators in four structural ways.
First, it preserves both views simultaneously rather than replacing one with the other. Standard HA chart mode hides the real candles entirely; this overlay keeps the underlying candles visible at all times, giving traders smoothed trend context (the cloud) and precise entry-bar timing (the underlying candles) in the same visual without context-switching cost.
Second, the cloud fill opacity is dynamically modulated by body intensity relative to a 20-bar rolling average. Standard HA cloud indicators render fills with a single static transparency; this script renders impulsive bars (≥1×, ≥2×, ≥3× average body) with progressively more opaque fills, transforming the cloud from a static visualization into a momentum-aware density map. Capitulation, ignition, and impulsive expansion phases become visually identifiable peripheral signals.
Third, it adds an explicit state machine layer over the raw HA visualization. Direction tracking, consecutive streak counting, 20-bar rolling body-size anomaly detection, and on-chart visual anomaly markers convert the visual cloud into a numerical readout reported live on a corner HUD. This converts subjective visual estimation (is this a long streak? is this body unusually large?) into deterministic measurements with configurable thresholds and a persistent visual record on the chart history.
Fourth, it exposes three independently-toggleable alerts (direction change, streak exhaustion, body anomaly) gated by bar confirmation, making the indicator usable as a confirmation filter or trigger source in automated workflows. Most HA-based indicators are visualization-only or expose a single direction-flip alert; the multi-condition alert set here is designed for traders building structured rules around HA state rather than just observing it.
The combination of dual-view preservation, body-intensity opacity modulation, state machine readout, visual anomaly markers, and multilingual UI produces a single overlay that combines the readability of Heikin Ashi smoothing with the precision of real candles, the rigor of a deterministic state readout, and the visual intuition of a density-aware momentum map. Indicator
Triple Lens by MOUTriple Lens by MOU
After spending years burning money on candlestick patterns, MACD crossovers, and Elliott Waves, I came to a simple conclusion: most retail technical analysis has been arbitraged into oblivion by quant funds. What survives — and what still works — sits in three places that machines can't fully eat: trend stage, accumulation pattern, and market breadth.
This indicator is what I built for my own trading. It overlays three independent frameworks from three legendary technicians:
Stan Weinstein — Stage Analysis (where are we in the cycle?)
William O'Neil — CANSLIM accumulation (is smart money building?)
Walter Deemer — Market Breadth (is the broader tape supporting us?)
Each lens looks at a completely different dimension. When all three light up green at the same time, you get a ▲ signal on the chart. That's the moment to pay attention.
Why three? Because any single indicator gets gamed. But three independent signals confirming the same direction is a different statistical animal — it's confluence, not coincidence.
One thing I want to be honest about: this isn't a crystal ball. Technical analysis cannot predict the future, period. What a good system can do is take you from 50/50 coin-flip entries to maybe 60-70% odds. That's it. But over hundreds of trades, that edge compounds — and that's where real wealth is built.
A ▲ signal is your green light to consider entering, not a guarantee that you'll win every time. Sizing, stops, and risk management still matter.
Important: This indicator goes blind during earnings. Earnings re-price the fundamentals — and technical analysis is built on the assumption that fundamentals are stable. If a ▲ fires right before an earnings call, wait it out. Let the dust settle, then re-evaluate.
Free to use. No tweaking needed. Built for swing and position traders on daily/weekly timeframes.
If this helps you, drop a boost. If you have feedback, comments are open.
— MOU Indicator
Futures Sessions US+ UK+ JapanThis indicator displays key market session open and close times directly on the chart using clean vertical lines.
It includes session markers for:
US Futures session
UK session
Asia / Japan session
Each session can be individually switched on or off, and users can customise the open and close times, colours, line style, line width, and previous session visibility.
The US Futures lines are anchored to America/New_York time, so they automatically adjust when UK and US daylight saving time changes occur. This helps UK-based traders keep the correct futures open and close reference points without needing to manually update the script.
Main Features
Toggle US Futures, UK, and Japan session lines on/off
Separate open and close lines for each session
Custom colours for each session
Optional previous session lines
Adjustable previous session transparency
Session names displayed next to each line
Session names can be positioned at the top, middle, or bottom of the line
Adjustable label text colour, background colour, and font size
Built-in alerts for session open and close times
Designed for intraday traders who want clean session timing references
Default Session Times
US Futures Close: 16:45 New York time
US Futures Open: 18:00 New York time
UK Open: 08:00 London time
UK Close: 16:30 London time
Japan Open: 09:00 Tokyo time
Japan Close: 15:00 Tokyo time
All session times are editable in the indicator settings. Indicator
Indicator
Cross Exchange Premium Drift Map [AGPro Series]Cross Exchange Premium Drift Map
🧠 Core Idea
Is the active crypto venue drifting away from the exchange basket, or is the market staying aligned across venues?
📌 Overview / What it does
Cross Exchange Premium Drift Map is a crypto market structure tool designed to compare the active chart against a configurable basket of exchange reference symbols.
Instead of reading only the local chart, the script builds a venue basket from multiple exchange feeds and measures whether the active venue is trading at a premium, discount, or neutral alignment versus that basket.
It produces a premium drift path, a dispersion path, a right-side venue premium stack, event labels, strongest/weakest venue context, and a compact panel. It does not predict price direction, automate trading, or claim that a premium will close immediately.
🎯 Purpose & Design Philosophy
This script was built to fill a specific gap in crypto analysis: many traders look at one exchange chart and assume that chart represents the whole market.
Crypto is fragmented across venues. Premiums, discounts, and venue dispersion can appear before important shifts in liquidity, risk appetite, or execution quality.
The purpose of this tool is to make that fragmentation visible in a structured, readable, and non-predictive way.
⚡ Why This Script Is Different
Most tools focus on the active chart alone, or compare futures against spot using a basis model.
This script does NOT operate as a funding, carry, open interest, or perp-versus-spot basis indicator.
Instead, it compares the active venue against a configurable cross-exchange reference basket, then maps premium drift, venue dispersion, strongest venue, weakest venue, and alignment quality into a dedicated visual workflow.
⚙️ Methodology
1. Venue Basket Construction
The script requests multiple user-defined exchange symbols and builds an average reference basket from available venue prices.
2. Premium Drift Detection
The active chart is compared against the venue basket to calculate premium or discount.
3. Dispersion Evaluation
The script measures how far individual venues are spread around the basket.
4. State Classification
Premium, discount, spread expansion, spread compression, and exchange alignment are converted into readable states.
5. Visual Output
The chart displays premium paths, event labels, a right-side venue stack, and a panel summary.
🗺️ How to Read the Chart
The premium drift path shows how the active chart behaves relative to the venue basket.
The dispersion path shows whether exchange prices are widening away from each other or compressing toward alignment.
The right-side venue stack shows the current premium/discount context, basket drift, dispersion, strongest venue, and weakest venue.
Labels mark meaningful changes such as Venue Premium, Venue Discount, Spread Expansion, and Exchange Alignment.
The panel summarizes state, score, premium, drift z-score, velocity, dispersion, direction, grade, and venue count.
🚦 Signals & States
• Venue Premium → the active chart trades meaningfully above the exchange basket
• Venue Discount → the active chart trades meaningfully below the exchange basket
• Spread Expansion → venue dispersion is widening
• Spread Compression → venue prices are moving closer together
• Exchange Alignment → venues are compressed and the active chart is near the basket
• Check Venue Set → selected symbols may not represent the same asset or may be mismatched
🔔 Alerts Logic
Alerts trigger when the script detects a fresh state transition into a meaningful venue condition.
Venue Premium alerts mark active-chart premium pressure versus the basket.
Venue Discount alerts mark active-chart discount pressure versus the basket.
Spread Expansion alerts mark widening cross-exchange dispersion.
Exchange Alignment alerts mark compression toward venue agreement.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest readings occur when premium drift, drift z-score, velocity, dispersion, and persistence align.
When these conditions align, the venue message becomes more meaningful, but it still remains context rather than a prediction.
📊 When to Use
• Crypto spot charts with active multi-exchange liquidity
• BTC, ETH, and major liquid altcoin pairs
• Periods where venue premium, discount, or spread quality matters
• Market structure review before interpreting local price action
• Cross-exchange monitoring during volatile sessions
⚠️ When NOT to Use
• Illiquid symbols with unreliable venue references
• Symbols where the basket does not match the active chart asset
• Extremely noisy low-timeframe conditions
• Markets where one or more venue feeds are missing or stale
• Situations where the user expects guaranteed arbitrage signals
🎛️ Key Inputs
• Venue Symbols → define the exchange reference basket
• Venue Labels → control the short exchange names shown in the visual stack
• Premium Threshold → controls when active-chart premium or discount becomes relevant
• Dispersion Threshold → controls when cross-exchange spread widening matters
• Premium Baseline Length → controls the drift baseline
• Premium Z-Score Length → controls normalization
• Visual Settings → control panel, labels, paths, and venue stack display
🖥️ Interface & Visual Design
The interface is built for quick market reading.
The panel provides compact state information.
The premium stack shows the current venue relationship without using pale or white primary visuals, preserving readability on both dark and light chart backgrounds.
Labels are designed to be visible, premium, and not buried inside candles.
🧪 Practical Usage Workflow
1. Confirm that the venue symbols match the active chart asset.
2. Read the panel state and score.
3. Check whether the active chart is premium, discount, aligned, or mismatched.
4. Inspect the strongest and weakest venue labels.
5. Use the premium and dispersion paths to understand whether the relationship is widening or normalizing.
🔍 Interpretation Guidelines
A venue premium does not automatically mean price must fall.
A venue discount does not automatically mean price must rise.
Spread expansion means exchange prices are becoming less aligned.
Exchange alignment means the active venue is closer to the basket.
The script should be read as market context, not as a buy or sell system.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an arbitrage execution tool.
It is not an auto-trading system.
It does not guarantee that premiums, discounts, or spreads will normalize.
⚠️ Limitations & Transparency
Cross-exchange readings depend on symbol quality, venue availability, quote currency differences, and PulseWire data access.
USD and USDT references may behave slightly differently.
Low-liquidity assets can produce unstable readings.
Timeframe differences and exchange data behavior can affect how states appear.
🧠 Market Context Notes
Crypto markets are fragmented.
The same asset can trade differently across exchanges because of liquidity, regional flow, quote currency differences, venue-specific demand, and execution conditions.
This script attempts to make that fragmentation easier to see.
🧾 Use Case Examples
When the active chart trades above the basket while dispersion expands, the market may be showing venue-specific premium pressure.
When the active chart trades below the basket while dispersion expands, the market may be showing local venue weakness.
When premium and dispersion compress together, the market may be returning toward exchange alignment.
🧱 System Philosophy
Cross Exchange Premium Drift Map follows the AGProLabs design principle of building decision-support maps rather than prediction tools.
The goal is to improve context, visual structure, and trader awareness.
🔐 Non-Promise Statement
No signal in this script guarantees a future price move.
No premium or discount reading guarantees convergence.
All outputs require broader market interpretation.
📉 Risk Disclosure
Trading involves risk.
Users are fully responsible for their own decisions.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
This tool is designed for educational and analytical use. It helps traders study cross-exchange price behavior, venue alignment, and premium drift as part of a broader market structure workflow.
Indicator
Exhaustion Fuel Gauge [AGPro Series]Exhaustion Fuel Gauge
🧠 Core Idea
Is the current move still powered by real participation, or is the trend running on exhausted fuel?
📌 Overview / What it does
Exhaustion Fuel Gauge is a premium PulseWire overlay that evaluates trend fuel, participation strength, extension pressure, wick reaction, and momentum efficiency to map whether a directional move is still active, fading, or entering exhaustion territory.
The script produces a forward-projected fuel zone, compact state labels, current context tags, and an AGPro-style panel that summarizes the active gauge state. It is designed to help users read whether a move has enough internal fuel to continue or whether the chart is showing signs of weakening participation and exhaustion risk.
It does not predict price direction, automate trades, or provide guaranteed signals. It is a visual decision-support map for market context.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between simple momentum indicators and real chart context. Many tools show whether price is moving fast, but they do not clearly explain whether the move still has fuel or whether the movement is becoming fragile.
Exhaustion Fuel Gauge helps discretionary traders, swing traders, intraday traders, and market-structure readers evaluate the quality of a move before overreacting to a single candle.
The design philosophy is simple: trend continuation should be judged by fuel, participation, efficiency, and reaction quality together.
⚡ Why This Script Is Different
Most tools focus on overbought or oversold readings.
This script does NOT treat exhaustion as a single oscillator value or a generic reversal signal.
Instead, it combines directional persistence, participation strength, range behavior, move efficiency, wick pressure, and extension risk into a clean overlay that explains whether the current move still has usable fuel.
⚙️ Methodology
1. Context Detection
The script identifies the active directional context using recent price movement and trend baseline behavior.
2. Fuel Evaluation
It measures persistence, participation, range expansion, and efficiency to estimate how much usable fuel remains in the move.
3. Exhaustion Risk Mapping
It evaluates extension, fuel fade, wick pressure, and participation fade to estimate whether the move is becoming vulnerable.
4. Visual Output
The script displays a forward-projected fuel zone, event labels, right-side context tags, and a structured AGPro panel.
🗺️ How to Read the Chart
Zones represent the current fuel reference area where the active move should be evaluated.
Labels mark important changes such as fuel activation, fuel fading, exhaustion watch, exhaustion hit, or reset build.
Colors represent state context:
• Green = active fuel
• Pink = exhaustion risk or exhaustion hit
• Yellow = caution / watch state
• Indigo = fading or reset context
The panel summarizes the current gauge state, direction, fuel score, exhaustion risk, participation, extension, and next context.
🚦 Signals & States
• FUEL ACTIVE → directional move still has usable internal fuel
• FUEL FADING → move is still present, but internal support is weakening
• EXHAUSTION WATCH → extension and reaction pressure are elevated
• EXHAUSTION HIT → exhaustion evidence is strong and fuel has weakened
• RESET BUILD → no clean directional fuel is currently confirmed
🔔 Alerts Logic
Alerts trigger when the script detects a new fuel-active state, fuel-fading state, exhaustion-watch state, exhaustion-hit state, or reset-build state.
Alerts are attention markers only. They are not trade instructions and should not be interpreted as guaranteed outcomes.
🧩 Confluence Logic
The strongest exhaustion context appears when extension pressure, participation fade, wick reaction, and weak fuel score align.
The strongest continuation context appears when fuel score remains high while exhaustion risk stays contained.
📊 When to Use
• Trending markets where continuation quality matters
• Extended moves where exhaustion risk needs to be evaluated
• Breakout follow-through analysis
• Swing-trading context review
• Intraday movement quality checks
⚠️ When NOT to Use
• Extremely low-liquidity markets
• Randomly choppy symbols with poor structure
• News spikes where normal participation behavior is distorted
• Very low timeframes with excessive noise
🎛️ Key Inputs
• Trend Length → adjusts the baseline used to define directional context
• Fuel Lookback → controls how many bars are used for fuel evaluation
• Exhaustion Threshold → adjusts how strict exhaustion detection is
• Fuel Fade Threshold → defines when a move is considered fuel-fading
• Zone Projection Bars → keeps the active zone visible for publication screenshots
• Panel and label settings → control visual readability
🖥️ Interface & Visual Design
The interface is built for quick visual interpretation.
The panel provides structured context without dominating the chart. The fuel zone gives the main story visually, while compact labels and right-side tags provide the current state without clutter.
The goal is a premium, publication-ready PulseWire chart.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether fuel is active, fading, or exhausted.
3. Observe the active fuel zone and current right-side tags.
4. Compare exhaustion risk with participation and extension.
5. Use broader market structure before making any decision.
🔍 Interpretation Guidelines
High fuel with low exhaustion risk suggests the move still has internal support.
High exhaustion risk with weak fuel suggests the move may be vulnerable to reaction or reset.
Fuel fading does not mean reversal. It means continuation quality is weakening.
Exhaustion hit does not guarantee a top or bottom. It marks a context that deserves caution.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not provide guaranteed buy or sell signals.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
The script is rule-based and depends on market conditions.
Different timeframes may produce different readings.
Volatility, liquidity, gaps, and news-driven moves may affect signal quality.
Outputs should always be interpreted with broader market context.
🧠 Market Context Notes
Exhaustion is not only about price distance.
It also depends on whether participation remains strong, whether candles still close efficiently, and whether wick pressure begins to appear against the current direction.
This script is designed to make those conditions easier to read visually.
🧾 Use Case Examples
When price extends strongly but fuel remains high and exhaustion risk is contained, the move may still have continuation quality.
When price extends while participation fades and wick pressure increases, the chart may be entering exhaustion-watch territory.
When exhaustion risk rises while fuel drops, the context becomes more fragile.
🧱 System Philosophy
AGPro Series tools are designed as professional visual maps, not signal machines.
The goal is to make complex market context easier to interpret without reducing it to a simplistic buy or sell label.
🔐 Non-Promise Statement
No script can guarantee future price movement.
This tool provides structured context, not certainty.
📉 Risk Disclosure
Trading involves risk.
Past behavior does not guarantee future results.
Users are responsible for their own decisions, position sizing, and risk management.
This script does not provide financial advice.
📚 Educational Note
Use this script as a learning and analysis tool to better understand momentum quality, trend fuel, and exhaustion behavior across different market conditions.
Indicator
Candle Intent Map [AGPro Series]Candle Intent Map
🧠 Core Idea
Does this candle show initiative, absorption, rejection, indecision, or a real shift in intent?
📌 Overview / What it does
Candle Intent Map is a candle behavior and market reaction tool designed to read the internal message of price candles beyond simple bullish or bearish color.
The script evaluates body pressure, wick reaction, close location, volume context, short follow-through, and recent intent changes to classify whether the market is showing initiative, absorption, rejection, indecision, or an intent shift.
It produces compact labels, a visible intent pressure zone, right-side context tags, and a clean AG Pro panel. It does not predict price, automate decisions, or promise that a candle pattern will continue.
🎯 Purpose & Design Philosophy
This script was built because many candlestick tools stop at basic pattern recognition.
A candle is not only a shape. It is a relationship between body commitment, wick reaction, volume participation, close location, and what happens immediately after that candle forms.
Candle Intent Map helps traders who want to read candle quality, initiative pressure, reaction zones, and follow-through context without turning the chart into a crowded pattern scanner.
⚡ Why This Script Is Different
Most candle tools focus on named formations such as engulfing candles, pin bars, doji candles, or simple color changes.
This script does NOT treat every candle pattern as an automatic signal.
Instead, it studies whether the candle has enough internal pressure, reaction quality, volume context, and follow-through to deserve attention.
The goal is not to label more candles. The goal is to label the candles that tell a clearer market story.
⚙️ Methodology
1. Context Detection
The script measures body-to-range ratio, upper wick pressure, lower wick pressure, close location, and relative volume participation.
2. Intent Classification
Candles are classified into initiative, absorption, rejection, indecision, or intent shift conditions based on body pressure, wick behavior, and directional commitment.
3. Reaction Evaluation
The script builds a reaction-quality score using body strength, wick reaction, close placement, volume context, and short follow-through behavior.
4. Visual Output
The strongest current candle intent context is mapped as a visible intent zone, compact event labels, right-side state tags, and a structured AG Pro panel.
🗺️ How to Read the Chart
Zones represent the most recent candle intent pressure area.
Labels show important candle intent events such as bullish intent, bearish intent, absorption, rejection, indecision, or intent shift.
Colors separate constructive pressure, defensive pressure, neutral reaction, and absorption-style behavior.
The panel summarizes current intent, direction, body pressure, wick reaction, follow-through, quality score, and next context.
🚦 Signals & States
• BULL INTENT → bullish body pressure with meaningful close location and participation
• BEAR INTENT → bearish body pressure with meaningful close location and participation
• ABSORPTION → strong reaction behavior with compressed body and meaningful volume
• LOWER REJECT → lower wick reaction suggesting downside rejection
• UPPER REJECT → upper wick reaction suggesting upside rejection
• INDECISION → low body commitment with balanced wick behavior
• INTENT SHIFT → recent candle intent changes direction with enough pressure to matter
🔔 Alerts Logic
Alerts trigger when the script detects bullish candle intent, bearish candle intent, candle absorption, or candle intent shift.
These alerts are attention markers only. They highlight a candle context that may deserve review, not a trade instruction.
🧩 Confluence Logic
The strongest context appears when candle body pressure, wick reaction, close location, volume participation, and follow-through point in the same direction.
When these components align, the candle intent quality score becomes stronger.
📊 When to Use
• During active trend continuation phases
• Around reaction zones and pullback areas
• Near support, resistance, VWAP, or liquidity references
• When evaluating whether a candle has real participation behind it
• When comparing initiative candles against absorption or rejection candles
⚠️ When NOT to Use
• Extremely illiquid markets
• Very noisy low-timeframe environments
• News-driven candles with abnormal spreads
• Symbols with unreliable volume data
• Situations where broader market context is ignored
🎛️ Key Inputs
• Volume Context Length → controls the relative volume comparison window
• Follow-Through Length → controls how short-term continuation is measured
• Initiative Body Ratio → changes how strict the initiative candle filter is
• Reaction Wick Ratio → changes how strict wick-based rejection and absorption filters are
• Visible Zone Bars → controls how much of the recent chart the intent zone covers
• Label and Panel Font Size → controls visual readability
🖥️ Interface & Visual Design
The interface is designed to stay clean, readable, and publication-friendly.
The chart focuses on one main intent zone, compact event labels, right-side context tags, and a structured panel.
The visual hierarchy is intentional: zone first, current state second, historical intent events third.
🧪 Practical Usage Workflow
1. Read the panel to understand the current candle intent state
2. Check the intent zone and its position relative to price
3. Review recent labels to understand whether initiative, absorption, or rejection has dominated
4. Compare the quality score with current follow-through
5. Interpret the output inside broader market context
🔍 Interpretation Guidelines
A strong intent label does not mean price must continue.
A rejection label does not mean reversal is guaranteed.
An absorption label means the candle structure showed reaction and participation, but confirmation still depends on the following market behavior.
The best interpretation comes from combining candle intent with structure, liquidity, volatility, and timeframe context.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed buy or sell signals.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Candlestick interpretation changes across timeframes.
Volume quality may differ between markets and exchanges.
Fast volatility expansion can make recent candle intent less stable.
Low-liquidity conditions may create misleading wick or body readings.
Users should always interpret outputs within broader market context.
🧠 Market Context Notes
Candle intent is most useful when combined with structure, liquidity, trend quality, volatility, and acceptance behavior.
One candle rarely tells the whole story. The value comes from understanding whether candle pressure is supported or rejected by what comes next.
🧾 Use Case Examples
When price reaches a known support area and the script prints a lower rejection label with improving quality, the trader can study whether downside pressure is being rejected.
When a strong body candle prints with high quality and follow-through, the trader can evaluate whether initiative pressure is entering the market.
When absorption appears inside a range, the trader can watch whether trapped pressure develops or fades.
🧱 System Philosophy
Candle Intent Map is part of the AGPro Series approach: clean visual tools that focus on market context, reaction quality, and decision support rather than prediction claims.
The script is designed to make candle behavior easier to read while keeping the trader responsible for interpretation.
🔐 Non-Promise Statement
No script can know the future.
No candle label guarantees continuation or reversal.
This tool provides structured visual context only.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
All decisions remain the responsibility of the user.
This script does not provide financial advice or guaranteed trading outcomes.
📚 Educational Note
Use this script as an educational and analytical companion for studying candle behavior, reaction quality, and short-term intent context.
Indicator
Volatility Compression Release Map [AGPro Series]Volatility Compression Release Map
🧠 Core Idea
Is the market quietly building expansion energy, or has the release already failed back into the shelf?
📌 Overview / What it does
Volatility Compression Release Map is a volatility regime and compression shelf visualization tool built to identify quiet range contraction, release attempts, fake releases, and expansion quality.
The script maps a projected compression shelf when volatility rank and range size contract together. It then tracks whether price releases away from that shelf, returns back inside it, or continues to hold expansion pressure.
This script does not predict future price direction, automate trades, or produce guaranteed buy/sell signals. It is designed as a structured chart-reading layer for volatility compression, release quality, and contextual risk.
🎯 Purpose & Design Philosophy
The script was built for traders who care about the transition between quiet markets and expansion phases.
Many charts look calm before movement starts. The challenge is not simply seeing a tight range, but understanding whether that range is still building energy, whether the release is active, or whether the move has already failed back into the shelf.
The design philosophy is simple: reduce volatility noise into a readable map, preserve the important shelf story, and make the current regime understandable at first glance.
⚡ Why This Script Is Different
Most tools focus on breakout arrows, squeeze dots, or raw volatility bands.
This script does NOT treat every contraction as an immediate trade signal and does NOT frame every expansion candle as confirmation.
Instead, it builds a full compression-to-release map: the shelf, volatility rank, range size, release direction, fake-release risk, quality score, right-side state labels, and a compact AG Pro panel all work together.
⚙️ Methodology
1. Context Detection
The script evaluates ATR rank, recent range size, and whether price is still inside a quiet shelf.
2. Shelf Mapping
When compression conditions align, the active range is stored and projected forward as a compression shelf.
3. Release Evaluation
The script checks whether price leaves the shelf with enough candle body expansion to qualify as a release attempt.
4. Failure Tracking
If price quickly returns into the shelf during the fake-release window, the state changes to fake release.
5. Visual Output
The chart displays a projected shelf, dotted rails, a centered shelf-quality label, event labels, right-side state tags, and a compact AG Pro panel.
🗺️ How to Read the Chart
Zones represent the active compression shelf.
The shelf label shows the current shelf quality score using a compact `SHELF | Q` format.
Green/teal visual states generally indicate constructive expansion or defended release behavior.
Pink visual states highlight failed release or adverse volatility behavior.
Indigo/accent visuals represent compression and neutral shelf structure.
The panel summarizes compression state, release direction, volatility rank, range size, quality score, shelf range, and next context.
🚦 Signals & States
• COMPRESSION BUILD → a quiet shelf is forming and volatility is compressed
• RELEASE ACTIVE → price has moved away from the shelf with sufficient body expansion
• FAKE RELEASE → price returned back into the shelf after a release attempt
• SHELF WATCH → a shelf exists but the market has not produced a clean active release
• WAIT COMPRESSION → no valid compression shelf is currently active
🔔 Alerts Logic
Compression Build alert triggers when a new volatility compression shelf is detected.
Compression Release alert triggers when price releases from the active shelf with enough candle body expansion.
Fake Release alert triggers when price returns back into the shelf within the defined fake-release window.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when low volatility rank, compact range size, a visible shelf, and a strong release candle align.
The context becomes weaker when price fails back into the shelf shortly after release.
📊 When to Use
• Before potential expansion phases
• During quiet range compression
• Around breakout preparation zones
• When evaluating whether a move is expanding or failing
• On liquid markets where volatility structure is meaningful
⚠️ When NOT to Use
• Extremely illiquid symbols
• Very noisy low-timeframe charts
• News shock environments where volatility structure changes suddenly
• Markets with unreliable volume or large gaps
• Situations where a single indicator is being used without broader context
🎛️ Key Inputs
• Compression Lookback → controls the range window used to detect the shelf
• Volatility Rank Lookback → controls how ATR rank is measured
• Compression Rank Max → changes how selective compression detection is
• Range ATR Max → limits how wide a valid shelf can be
• Release Body ATR Min → defines how strong a release candle must be
• Fake Release Window → controls how quickly a release failure is detected
• Visual settings → control shelf projection, labels, panel, theme, and font sizes
🖥️ Interface & Visual Design
The interface is designed to look clean, premium, and publication-ready.
The shelf is the main visual anchor. Event labels are intentionally limited so the chart does not become crowded.
The AG Pro panel uses a merged blue header row and summarizes the state without covering the main chart story.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Locate the active compression shelf.
3. Check whether price is inside, releasing, or failing back into the shelf.
4. Compare the quality score with the visual structure.
5. Use broader market context before making any decision.
🔍 Interpretation Guidelines
Compression is not direction.
A shelf shows where volatility has contracted.
A release shows that price moved away from the shelf with expansion pressure.
A fake release shows that the market rejected the expansion and returned to the compression area.
The strongest interpretations come from combining the shelf, state, quality score, and surrounding market structure.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not guarantee profitable trades.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Timeframe differences can change how compression and release behavior appears.
High volatility news events may reduce the usefulness of shelf-based interpretation.
Low-liquidity markets can produce misleading shelves and sudden false releases.
The script is rule-based and should always be interpreted within broader market context.
🧠 Market Context Notes
Volatility often contracts before expansion, but compression alone does not define direction.
The shelf helps identify where the market has stored recent range energy.
Release quality helps separate stronger expansion attempts from weak movement outside the range.
🧾 Use Case Examples
When price remains inside a shelf while volatility rank is low, the market may still be building energy.
When price leaves the shelf with strong body expansion, the script marks release behavior.
When price returns into the shelf quickly, the script flags a fake-release context.
🧱 System Philosophy
AGPro Series tools are built to turn complex market behavior into structured visual maps.
The goal is not to simplify markets into certainty, but to make important context easier to read.
🔐 Non-Promise Statement
No script can know the future.
No signal is certain.
No visual state should be treated as a guaranteed outcome.
📉 Risk Disclosure
Trading involves risk.
Markets can move unexpectedly.
Users are responsible for their own decisions, risk management, and trade execution.
This script does not provide financial advice.
📚 Educational Note
This tool is intended for educational and analytical use. It can help traders study volatility compression, release behavior, fake-release risk, and shelf-based market context.
Indicator
Impulse Correction Balance Map [AGPro Series]Impulse Correction Balance Map
🧠 Core Idea
Is the current correction still healthy compared with the prior impulse, or is the impulse losing structural balance?
📌 Overview / What it does
Impulse Correction Balance Map is a rule-based impulse and correction visualization tool designed to compare the current pullback with the prior directional swing leg.
The script identifies a valid bullish or bearish impulse, measures correction depth, maps the healthy-to-balanced correction pocket, and highlights whether price is still respecting the impulse structure or moving into failure risk.
It does not predict price direction, automate trades, or guarantee continuation after a pullback. It is a structured market-structure and wave-analysis tool for reading impulse strength, correction depth, balance, continuation, and failure context.
🎯 Purpose & Design Philosophy
Many pullback tools mark a retracement or draw generic Fibonacci levels.
This script was built to answer a more practical question:
Is the correction proportionate to the impulse that created it?
The design goal is to help traders evaluate pullbacks as part of a complete impulse-correction relationship instead of treating every retracement as equal.
⚡ Why This Script Is Different
Most tools focus on static retracement levels, generic trend strength, or simple pullback labels.
This script does NOT mark every pullback as a clean opportunity.
Instead, it builds the impulse leg first, measures the correction against that leg, separates healthy correction, balanced pullback, deep correction, continuation, and failure risk, then displays the story through premium chart visuals and a compact AG Pro panel.
⚙️ Methodology
1. Swing Detection
The script uses confirmed swing pivots to identify meaningful bullish or bearish impulse legs.
2. Impulse Validation
An impulse must meet a minimum ATR-normalized size before it becomes the active reference leg.
3. Correction Mapping
After the impulse forms, the script tracks the deepest correction point and calculates retracement depth as a percentage of the impulse.
4. Balance Evaluation
Correction depth is classified into healthy, balanced, deep, continuation, or failure states.
5. Visual Output
The chart displays the impulse box, correction pocket, depth ladder, centered pocket label, right-side tags, event labels, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Impulse Box = the prior validated directional swing leg.
Correction Pocket = the projected healthy-to-balanced retracement area.
Depth Ladder = reference rails for shallow, balanced, and deep correction zones.
Centered Pocket Label = the main visual anchor for the active balance pocket and quality score.
Right-Side Tags = current correction depth, balance state, and continuation reference.
Event Labels = key moments such as healthy correction, deep correction, continuation, or correction failure.
Panel = summarizes balance state, impulse direction, correction depth, impulse size, quality score, next context, and timeframe.
🚦 Signals & States
• HEALTHY CORRECTION → correction depth remains shallow relative to the impulse.
• BALANCED PULLBACK → correction is deeper but still inside the normal balance area.
• DEEP CORRECTION → correction is pressing into a riskier retracement zone.
• HIGH FAILURE RISK → correction is beyond the preferred balance area.
• CONTINUATION → price extends beyond the impulse end in the impulse direction.
• CORRECTION FAIL → price invalidates the impulse start area.
• WAIT IMPULSE → no valid impulse reference is active yet.
🔔 Alerts Logic
Alerts trigger when a major impulse-correction state appears.
• Healthy Correction → correction remains inside the healthy retracement area.
• Deep Correction Risk → correction depth moves into the deep-correction risk area.
• Continuation Trigger → price breaks beyond the impulse end in the impulse direction.
• Correction Failure → correction invalidates the impulse start area.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• The impulse leg is large enough relative to ATR
• Correction depth remains proportionate
• Price respects the balance pocket
• Continuation appears after a controlled correction
• The panel state agrees with the event label
• Broader trend structure supports the impulse direction
If these elements do not align, the script avoids forcing a continuation interpretation.
📊 When to Use
• Trend continuation analysis
• Pullback evaluation
• Swing structure review
• Crypto, forex, stocks, and index markets
• Wave-style impulse and correction studies
• 1H, 4H, and daily charts
• Markets with clear directional legs and retracement behavior
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely choppy markets with no clear swing structure
• News-driven candles where pivots may be distorted
• Ultra-low timeframes with excessive noise
• Markets where every pullback is immediately invalidated by volatility
• Situations where a single retracement should not be treated as a standalone decision
🎛️ Key Inputs
• Swing Pivot Length → controls how swing highs and lows are confirmed.
• Minimum Impulse ATR → defines how large the impulse must be before it becomes active.
• ATR Length → normalizes impulse size, label spacing, and correction context.
• Healthy Correction Max % → defines the upper boundary of the shallow correction zone.
• Balance Correction Max % → defines the upper boundary of the balanced correction zone.
• Deep Correction Max % → defines the deep-correction risk boundary.
• Projection Bars → controls how far correction pockets, rails, and tags project.
• Label Font Size → controls chart label and tag text size.
• Panel Font Size → controls panel text size.
🖥️ Interface & Visual Design
The visual hierarchy is built around the impulse-correction relationship.
The impulse box shows the directional leg.
The correction pocket shows where a controlled retracement can remain balanced.
The depth ladder shows where the correction becomes shallow, balanced, deep, or risky.
The centered badge makes the pocket readable at first glance.
The AG Pro panel summarizes the current state without forcing the user to inspect every level manually.
🧪 Practical Usage Workflow
1. Wait for a valid impulse leg to appear.
2. Check the correction pocket and depth ladder.
3. Read the current balance state in the panel.
4. Watch whether the correction stays healthy, becomes deep, or fails.
5. Look for continuation only after the correction context remains controlled.
6. Interpret the result inside broader trend, liquidity, and volatility context.
🔍 Interpretation Guidelines
A healthy correction does not guarantee continuation. It means the retracement is still proportionate to the prior impulse.
A deep correction does not guarantee reversal. It means the pullback is approaching an area where the original impulse is less structurally clean.
A continuation trigger does not guarantee follow-through. It means price extended beyond the impulse end according to the script's rule set.
A correction failure is a structural warning, not a trading command.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a standard Fibonacci retracement tool.
It is not a full Elliott Wave counter.
⚠️ Limitations & Transparency
Swing detection depends on pivot confirmation, so signals can appear after pivots are confirmed.
Timeframe differences can change impulse and correction structure.
High volatility may cause correction depth to expand quickly.
Low-liquidity markets may produce unreliable swing pivots.
The script is designed for structured interpretation, not certainty.
🧠 Market Context Notes
Impulse-correction behavior is strongest when the market has a clear directional leg, a readable retracement, and enough liquidity for swing structure to matter.
The same correction depth can mean different things in a strong trend, a range, or a volatility shock.
The script should be read together with broader structure, volume, volatility, and market regime.
🧾 Use Case Examples
• If a bullish impulse forms and the correction remains shallow, the map may show healthy correction context.
• If a bearish impulse forms and price retraces deeply against it, the map may show deep correction or failure risk.
• If price breaks beyond the impulse end after a controlled correction, the map may show continuation.
🧱 System Philosophy
Impulse Correction Balance Map is part of the AGPro Series approach to decision-support tools:
clear structure, premium chart readability, honest interpretation, and no promise of certainty.
The goal is to help traders understand the relationship between impulse strength and correction depth without turning analysis into signal spam.
🔐 Non-Promise Statement
No script can know the future.
No correction depth guarantees continuation or reversal.
No signal should be interpreted without broader market context.
📉 Risk Disclosure
Trading involves risk.
Markets can move unpredictably.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use this script to study how impulses and corrections relate to each other.
The value is not only in the label. The value is in learning whether a pullback is proportionate, stretched, balanced, or structurally weak compared with the impulse that came before it.
Indicator
