Indicator
Smart Stochastic Prosmart stochastic pro is a momentum oscillator built to read stochastic structure, buying and selling pressure, and multi-timeframe bias in one clean panel.
the script is designed for traders who want a visual way to track when the market is stretched, when pressure starts to shift, and when a reversal setup becomes more interesting. it does not predict price and it should not be used alone. it is meant to support analysis together with price action, market structure, support and resistance, volume, and risk management.
what the script does
smart stochastic pro uses a smoothed stochastic engine to create rounded %k and %d curves. the goal is to reduce visual noise while keeping the oscillator responsive enough for intraday and swing analysis.
the script includes:
* a smoothed stochastic %k and %d
* extreme overbought and oversold zones
* buying and selling pressure based on candle position and volume
* optional mtf calculation modes
* reversal detection after extreme zones
* optional candle coloring
* a compact dashboard
* visual pressure zones and signal labels
how to use it
add the script to a normal candlestick chart. for the clearest reading, start with the default settings and use a liquid market such as major crypto pairs, forex pairs, indices, or large-cap stocks.
the oscillator moves between 0 and 100.
basic reading:
* above 80 means price is in an overbought area
* below 20 means price is in an oversold area
* above 90 means extreme overbought
* below 10 means extreme oversold
* the 50 line is the neutral zone
* %k above %d shows bullish momentum
* %k below %d shows bearish momentum
the script works best when you do not take every cross. the main idea is to wait for a strong area first, then look for a confirmed shift.
beginner workflow
1. start on the chart mode
use:
calculation / visual mode: chart
this uses the current chart timeframe and is the easiest mode to understand.
2. wait for an extreme zone
for bullish setups, watch for %k to move into the extreme oversold area.
for bearish setups, watch for %k to move into the extreme overbought area.
this arms the setup. it does not mean enter immediately.
3. wait for confirmation
a bullish reversal becomes more interesting when:
* %k crosses above %d
* the oscillator starts rising
* buying pressure improves
* the signal appears after an oversold expansion
a bearish reversal becomes more interesting when:
* %k crosses below %d
* the oscillator starts falling
* selling pressure improves
* the signal appears after an overbought expansion
4. check the pressure
the pressure background and ribbons help show whether buyers or sellers are gaining control.
green pressure means buying is stronger.
red pressure means selling is stronger.
neutral pressure means the market may still be undecided.
5. use the dashboard
the dashboard summarizes:
* active mode
* current bias
* mtf bias
* slope
* oscillator zone
* buying or selling pressure
* %k and %d values
* signal strength
* armed state
for beginners, the most useful dashboard rows are state, zone, pressure, and armed.
recommended settings
for beginners:
* calculation / visual mode: chart
* require explosion first: true
* minimum confluence strength: 2
* hide mid-range noise: true
* show pressure: true
* show dashboard: true
* candle color: off at first
for cleaner signals:
* require explosion first: true
* minimum confluence strength: 3
* hide mid-range noise: true
* mtf bias filters signals: true
for faster signals:
* require explosion first: false
* minimum confluence strength: 2
* hide mid-range noise: true
for multi-timeframe use:
mtf strict shows the oscillator calculated directly from the selected higher timeframe.
mtf bias keeps the chart oscillator smoother while using the higher timeframe as a directional filter.
a simple setup is:
* chart timeframe: 5m or 15m
* mtf timeframe: 1h
* mtf bias filters signals: true
where to use it
the script can be used on:
* crypto
* forex
* indices
* stocks
* futures
it is usually cleaner on markets with good liquidity and enough volume. low-volume markets can create noisy pressure readings and weaker signal quality.
timeframes
for scalping, try 1m to 5m, but expect more noise.
for intraday trading, 5m to 30m is usually easier to read.
for swing trading, 1h to 4h gives slower but cleaner signals.
how not to use it
do not buy only because the oscillator is oversold.
do not sell only because the oscillator is overbought.
do not use one signal without checking market structure.
do not use it as a guaranteed entry system.
do not ignore risk management.
best practice
use the script as a timing and confirmation tool.
a stronger bullish setup usually has:
* price near support or after a liquidity sweep
* %k coming from oversold or extreme oversold
* buying pressure improving
* bullish signal strength at least 2 or 3
* mtf bias not fighting the trade
a stronger bearish setup usually has:
* price near resistance or after a failed breakout
* %k coming from overbought or extreme overbought
* selling pressure improving
* bearish signal strength at least 2 or 3
* mtf bias not fighting the trade
alerts
alerts are available for:
* bullish reversal after extreme oversold
* bearish reversal after extreme overbought
* extreme oversold
* extreme overbought
* pressure flip bullish
* pressure flip bearish
use alerts as reminders to check the chart, not as automatic trade entries.
notes
this script is an analysis tool. it does not guarantee results. all signals should be reviewed with price action, trend context, volatility, and personal risk rules before making a trade decision.
Indicator
Auto TrendLine Intelligence [BOS+CHoCH+FVG] [Rehan Khanani]================================================================
AUTO TRENDLINE INTELLIGENCE
================================================================
Auto TrendLine Intelligence is a professional-grade, institutional-level technical analysis indicator built for traders who think and operate like smart money. It combines automatic trend line detection with full Smart Money Concepts — BOS, CHoCH, and FVG — into one clean, powerful overlay.
This is not just a trend line tool. It is a complete market structure analysis system that tells you what the market is doing, why it is doing it and exactly where to enter, exit, and place your stop-loss.
================================================================
HOW IT WORKS
================================================================
The indicator runs five analytical engines simultaneously on every bar:
ENGINE 1 — AUTOMATIC TREND LINE DETECTION
The indicator automatically detects the most recent swing highs and swing lows using a pivot-based algorithm, then draws two types of trend lines in real time without any manual input:
Major Trend Lines (solid): Connect significant swing highs and swing lows using the full pivot lookback length. These represent the dominant structural trend and carry the highest weight for trading decisions.
Minor Trend Lines (dashed): Connect shorter-term pivots using a reduced lookback period. These represent intraday or near-term structure and are useful for precise entry timing.
Both lines update automatically as new pivots form. No manual drawing, no redrawing, no guesswork.
ENGINE 2 — BREAK OF STRUCTURE (BOS)
A Break of Structure is a continuation signal. It occurs when price convincingly breaks above a previous swing high (bullish BOS) or below a previous swing low (bearish BOS), confirming that the current trend is likely to continue.
Bullish BOS: price closes above the last confirmed swing high — signals trend continuation to the upside.
Bearish BOS: price closes below the last confirmed swing low — signals
trend continuation to the downside.
BOS labels appear directly on the chart at the point of the break.
ENGINE 3 — CHANGE OF CHARACTER (CHoCH)
A Change of Character is a reversal signal — the first indication that the current trend may be ending and a new one beginning. It is the most important signal in Smart Money analysis.
Bullish CHoCH: in a confirmed downtrend (lower highs, lower lows), price breaks above a recent lower high for the first time — this signals a potential reversal to the upside.
Bearish CHoCH: in a confirmed uptrend (higher highs, higher lows), price breaks below a recent higher low for the first time — this signals a potential reversal to the downside.
CHoCH labels are clearly marked on the chart and distinguished from BOS.
ENGINE 4 — FAIR VALUE GAP (FVG)
Fair Value Gaps are imbalance zones left behind by aggressive institutional buying or selling. Price frequently returns to these zones to rebalance before continuing in the original direction.
Bullish FVG: a gap between the high of the candle two bars ago and the low of the current candle — shown as a teal shaded zone.
Bearish FVG: a gap between the low of the candle two bars ago and the high of the current candle — shown as a red shaded zone.
FVG boxes automatically disappear when price returns to fill the gap (mitigation), keeping the chart clean at all times.
ENGINE 5 — LIQUIDITY ZONES
Equal highs and equal lows represent areas where institutional stop orders and limit orders are clustered. The indicator detects when two recent pivot highs or lows are at approximately the same price level and marks them with a dotted yellow line — highlighting where liquidity is likely to be swept before a major move.
================================================================
ENTRY SIGNAL SYSTEM (MULTI-FILTER CONFLUENCE)
================================================================
LONG and SHORT entry signals are generated only when ALL of the following conditions align simultaneously — ensuring institutional-grade signal quality:
For a LONG signal:
1. Price touches or approaches the support trend line within ATR buffer
2. Price is above the EMA 200 (bullish market bias confirmed)
3. RSI is not in overbought territory (momentum not exhausted)
4. Volume is above the 20-period average (institutional participation)
5. Candle closes bullish (price accepts support level)
For a SHORT signal:
1. Price touches or approaches the resistance trend line within ATR buffer
2. Price is below the EMA 200 (bearish market bias confirmed)
3. RSI is not in oversold territory (momentum not exhausted)
4. Volume is above the 20-period average (institutional participation)
5. Candle closes bearish (price rejects resistance level)
This five-layer confluence model ensures you only take trades where structure, trend, momentum, and volume all agree.
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AUTOMATIC TP1 / TP2 / SL LEVELS
================================================================
Every entry signal automatically plots:
Stop Loss: placed below/above the entry using ATR multiplier (default 1.5x ATR)
Take Profit 1 (TP1): at 50% of the full RR target — for partial exits
Take Profit 2 (TP2): at full Risk:Reward ratio target (default 2:1 RR)
All three levels are drawn as dashed lines directly on the chart with
exact price labels so you never have to calculate manually.
================================================================
INSTITUTIONAL DASHBOARD — 12 DATA POINTS
================================================================
A professional real-time dashboard is displayed in the corner of your
chart showing:
1. Market Bias — BULLISH or BEARISH based on EMA 200 position
2. Market Structure — Higher Highs/Lows | Lower Highs/Lows | Consolidation
3. EMA Stack — Bullish Stack | Bearish Stack | Mixed
4. RSI Reading — Exact value + zone (Overbought / Oversold / Neutral)
5. Volume Status — High Volume | Above Average | Below Average
6. ATR Value — Current ATR for volatility awareness
7. Support TL — Projected support trend line price at current bar
8. Resistance TL — Projected resistance trend line price at current bar
9. Fair Value Gap — Bullish FVG | Bearish FVG | None
10. SMC Event — Latest BOS or CHoCH event detected
11. Signal Status — LONG ENTRY | SHORT ENTRY | WATCHING
Dashboard position is fully adjustable: Top Right, Top Left, Bottom Right, or Bottom Left.
================================================================
FULL FEATURE LIST
================================================================
Automatic Features (Zero Manual Work Required):
- Auto major trend lines from pivot highs and lows
- Auto minor trend lines from shorter-term pivots
- Auto BOS detection and labeling
- Auto CHoCH detection and labeling
- Auto FVG zone drawing and auto-removal on mitigation
- Auto liquidity zone detection (equal highs / equal lows)
- Auto TP1, TP2, SL calculation and plotting on every signal
- Auto dashboard with 11 live market readings
Filters and Controls:
- EMA 200 trend direction filter
- EMA 50 for stack analysis
- RSI momentum filter (adjustable OB/OS levels)
- Volume spike filter (adjustable multiplier)
- ATR-based signal sensitivity buffer
- All filters individually toggleable
Visual Controls:
- Major and minor trend line toggle
- Individual color pickers for all line types
- Line width control (1 to 5)
- Extend lines right toggle
- FVG transparency control
- Dashboard position selector
Alert Conditions (9 Total):
1. LONG Entry Signal
2. SHORT Entry Signal
3. Any Entry Signal
4. Bullish BOS
5. Bearish BOS
6. Bullish CHoCH
7. Bearish CHoCH
8. Bullish FVG detected
9. Bearish FVG detected
================================================================
SETTINGS GUIDE
================================================================
Group 1 — Trend Line Settings
Pivot Lookback Length: Controls how significant a swing must be to form a trend line. Default is 10. Lower values (5-7) give more frequent lines suitable for scalping. Higher values (15-20) give fewer but stronger structural lines suitable for swing and position trading.
Show Major Trend Lines: Toggle the primary solid trend lines on/off.
Show Minor Trend Lines: Toggle the secondary dashed trend lines on/off.
Extend Lines Right: Extends all lines to the right edge of the chart.
Major Line Width: Visual thickness of major trend lines (1 to 5).
Color pickers: Customize all four line types independently.
Group 2 — Smart Money Concepts
Show BOS: Toggle Break of Structure labels on/off.
Show CHoCH: Toggle Change of Character labels on/off.
Show FVG: Toggle Fair Value Gap boxes on/off.
Show Liquidity Zones: Toggle equal high/low dotted lines on/off.
FVG Transparency: Adjust how opaque or subtle the FVG boxes appear.
Group 3 — Signal and Entry Settings
ATR Length: Period for ATR calculation (default 14).
ATR Buffer Multiplier: How close price must come to the trend line to
trigger a signal. Lower = stricter, higher = more relaxed.
Stop Loss ATR Multiplier: Distance of SL from entry in ATR units.
Risk Reward Ratio: Multiplier applied to the SL distance to set TP2.
Show TP/SL on Chart: Toggle the TP1, TP2, SL lines on/off.
Group 4 — Volume and Momentum Filter
Enable Volume Filter: When on, signals only fire on above-average volume.
Volume Spike Multiplier: Threshold multiplier over 20-period volume MA.
Enable RSI Filter: When on, blocks signals in exhausted momentum zones.
RSI Length, Overbought, Oversold: Standard RSI parameters.
Group 5 — Dashboard
Show Dashboard: Toggle the entire dashboard panel on/off.
Dashboard Position: Place it in any corner of the chart.
================================================================
HOW TO USE — STEP BY STEP
================================================================
Step 1 — Check the Dashboard
Before looking at any signal, check the dashboard. Confirm Market Bias, Structure, and EMA Stack all point in the same direction. Trade only when at least two of the three agree.
Step 2 — Identify the Trend Lines
Watch where the major trend lines are relative to current price. The support line (teal/blue) and resistance line (red) define your trading range and structural boundaries.
Step 3 — Wait for SMC Confluence
Before entering on a trend line touch, check whether a CHoCH has recently occurred in your direction. A CHoCH near a trend line is one of the highest-probability setups this indicator generates.
Step 4 — Watch for FVG Zones
If a Fair Value Gap is present near the trend line, this adds further confluence. Institutional traders frequently use FVG zones as entry triggers.
Step 5 — Enter on Signal
When a LONG or SHORT label appears, all five filters have aligned. Enter at the close of the signal candle. Your TP1, TP2, and SL levels will appear automatically on the chart.
Step 6 — Manage the Trade
Consider taking partial profits at TP1 (50% of position) and letting the remainder run to TP2. Move stop loss to breakeven after TP1 is hit.
Step 7 — Set Alerts
Use the 9 built-in alert conditions to be notified of signals and SMC events without watching the chart constantly.
================================================================
RECOMMENDED TIMEFRAMES
================================================================
Scalping: 1 minute, 5 minutes (Pivot Length 5-7)
Intraday: 15 minutes, 30 minutes, 1 Hour (Pivot Length 8-10)
Swing Trading: 4 Hour, Daily (Pivot Length 10-15)
Position Trading: Weekly (Pivot Length 15-20)
The indicator automatically adapts to any timeframe. Only the Pivot Lookback Length needs to be adjusted based on your trading style.
================================================================
COMPATIBLE MARKETS
================================================================
This indicator works on all liquid markets available on PulseWire:
Forex: All major, minor, and exotic currency pairs
Crypto: Bitcoin, Ethereum, and all altcoins
Commodities: Gold (XAUUSD), Silver (XAGUSD), Oil (WTI, Brent)
Indices: S&P 500, NASDAQ, Dow Jones, FTSE, DAX, Nikkei
Stocks: Any individual equity with sufficient volume
Futures: All futures contracts available on PulseWire
================================================================
WHO CAN USE THIS INDICATOR
================================================================
Beginner Traders:
The dashboard and automatic signals remove the need for manual analysis. Beginners can use the LONG and SHORT labels as guided entry points while learning how the underlying concepts work.
Intermediate Traders:
Use the BOS and CHoCH labels to understand market structure shifts and combine them with trend line touches for high-confluence entries. The FVG zones add an additional layer for precise entry timing.
Advanced and Professional Traders:
Use the full system as an institutional-grade market structure scanner. Combine BOS, CHoCH, FVG, and liquidity zones with your own HTF bias for a complete multi-confluence trading framework. The volume and RSI filters can be tuned precisely to your strategy requirements.
Algorithmic and Systematic Traders:
All 9 alert conditions can be connected to PulseWire webhooks for automated notification systems or strategy integration.
Portfolio Managers and Analysts:
The dashboard provides a rapid one-glance market assessment across any asset — useful for screening multiple instruments quickly.
================================================================
IMPORTANT DISCLAIMER
================================================================
Auto TrendLine Intelligence is a technical analysis tool designed to support trading decisions. It does not guarantee future results. All trading involves risk. Always apply proper risk management, use appropriate position sizing, and conduct your own due diligence before entering any trade. Past signal performance is not indicative of future results. This indicator is not financial advice. Indicator
Indicator
Household Equity Allocation -- Positioning Gauge█ OVERVIEW
This indicator plots, in its own pane, the percentage of United States household financial assets held in corporate equities, requested live from the Federal Reserve Z.1 financial accounts. It ranks the current reading against an embedded multi-decade history, classifies it into posture zones, and reports an indicative long-horizon estimate, presenting household equity positioning as a slow, low-frequency context gauge rather than a price-derived trading signal.
█ HISTORY / BACKGROUND
The series shown is published by the Federal Reserve Board in the Z.1 Financial Accounts of the United States, formerly the Flow of Funds, available quarterly since 1945. It measures households' directly and indirectly held corporate equities as a share of their financial assets. Its use as a forward-looking context measure was popularized by the analyst writing as Philosophical Economics in 2013, who examined its historical relationship with subsequent long-horizon equity returns and contrasted it with Robert Shiller's cyclically adjusted price-to-earnings ratio.
The conceptual basis is an accounting identity rather than a behavioral model: investors in aggregate must hold the entire outstanding supply of equities, so the equity share of household assets can rise only when equity prices rise relative to the supply of other assets. The measure is therefore a positioning and relative-valuation reading expressed in committed dollars, not a sentiment survey. The script applies no proprietary transformation to the series; it requests the published values and contextualizes them.
█ HOW IT WORKS
- The script requests the series named by the FRED series input (default FRED:BOGZ1FL153064486Q) with request.security at a quarterly (3M) resolution, lookahead disabled and gaps off, taking the published close as the current allocation reading.
- A fixed baseline of annual year-end values from 1945 through 2025 is loaded once into an array on the first bar. After a hardcoded cutoff (Q4 2025) the script appends each new distinct live reading to that array, so the baseline extends automatically as new quarters are published.
- A percentile routine counts the baseline entries less than or equal to the current reading and returns that count as a percentage of the array size, giving the reading's full-history percentile.
- The reading is classified into one of four zones by comparison against the three threshold inputs: below Bottom-quintile , below Top-quintile , below Above historical range , or at or above it. Each zone maps to a color and a posture label.
- An indicative estimate is computed as a fixed linear function of the reading, with intercept 12.338 and slope -0.3978, using constants hardcoded in the script. When the reading exceeds the in-sample maximum of 38.7, the estimate is marked as an extrapolation.
- The allocation is drawn as a line colored by the active zone. Three dashed horizontal lines mark the thresholds, and an optional background tint shades the pane by zone. An optional table in the top right reports the current value, its full-history percentile, the posture, the indicative estimate (flagged when extrapolated), the in-sample maximum, and the data source. The table is built only on the last bar.
█ HOW TO USE
The output is read from the pane and the table.
- The line and its color show where positioning currently sits: green for the lowest band, gold for a neutral band, amber for an elevated band, and red for a reading above the historical range. The posture label in the table names the same state.
- The dashed lines are the zone thresholds, and the optional background tint repeats the active zone for quick reading.
- The table states the current value, its percentile against the full history, the posture, and the indicative long-horizon estimate, with a flag when that estimate is extrapolated beyond the historical range.
Recommended timeframe: the underlying data is quarterly and the script requests it at a quarterly resolution regardless of the chart's timeframe, so the displayed value is identical on every chart timeframe. A monthly or weekly chart on a long-history instrument is suggested only so the plotted line spans a useful visual range; the value and table do not depend on the chart timeframe or the chart symbol. Because the series is slow and lagged, it is intended for strategic, low-frequency context, not intraday or short-term use.
█ SETTINGS
- FRED series (symbol, default FRED:BOGZ1FL153064486Q): the economic series the script requests and contextualizes.
- Shade posture zones (on or off, default on): toggles the background tint that colors the pane by the active zone.
- Show info table (on or off, default on): toggles the top-right summary table.
- Bottom-quintile (cheap) below (number, default 14.0): the upper bound of the lowest zone, in percent.
- Top-quintile (underweight) above (number, default 28.0): the level above which the reading is treated as elevated.
- Above historical range above (number, default 39.0): the level above which the reading is treated as beyond the historical range.
█ WHAT MAKES IT ORIGINAL
The script does not compute a price-based study. It is a self-contained method for contextualizing a single external economic series on a chart. Its construction is specific: it pulls the series live through request.security; it ranks the current reading against a historical distribution embedded directly in the script and extended automatically after a cutoff date, so the percentile is point-in-time and does not depend on how much chart history is loaded; it maps the reading to posture zones by user thresholds; and it computes an indicative estimate from a fixed linear fit while explicitly flagging when the current reading lies beyond the data range that produced the fit. The combination of an embedded, self-extending baseline for percentile ranking, the posture zoning, and the extrapolation flag, presented together for this macro series in one pane and table, is what distinguishes it. It applies no proprietary formula on price; the contribution is the contextualization method.
█ NOTES / LIMITATIONS
- Data dependence: the script plots an external economic series, not chart price, and requires access to the configured economic symbol through your data subscription. If the symbol cannot be resolved the request returns na, the line does not plot, and the table shows n/a.
- Chart history and rendering: the percentile baseline and the table are independent of chart history because the baseline is embedded in the script, but the plotted line spans only the bars loaded on the chart, so on a short chart the visible line is short. The table is built only on the last bar.
- Frequency and revision: the source is quarterly and reported with a lag, so the value changes only when a new quarter is published, and the most recent value can be revised by the source.
- Request behavior: the series is requested with lookahead disabled, so no future data is placed on historical bars, and values are carried forward between releases. Historical readings do not repaint; only the most recent reading can change as the source releases or revises a quarter.
- Baseline granularity and cutoff: the embedded baseline holds one value per year (annual year-end) from 1945 through 2025, and live values are appended only after the hardcoded Q4 2025 cutoff, so the percentile reference is annual before that date and extends quarterly thereafter.
- Extrapolation: the indicative estimate is fit over readings up to 38.7, and current readings exceed that, so the estimate lies outside the fitted range and is flagged as such.
- Symbol scope: the script is independent of the chart symbol and can be applied to any chart, since it does not read the chart's price.
This script displays historical economic data and a derived estimate for research and educational purposes. It is not investment advice. Indicator
Indicator
Indicator
Sector Rotation (Zeiierman)█ Overview
Sector Rotation (Zeiierman) is a relative strength rotation tool designed to compare multiple sectors against a selected benchmark and visualize how leadership shifts across the market over time.
Instead of viewing sector performance as isolated price charts, the script converts each sector into a normalized RS-Ratio and RS-Momentum reading, then plots them inside a four-quadrant rotation map.
The result is a clean visual framework for identifying which sectors are Leading, Weakening, Lagging, or Recovering relative to the broader market.
█ How It Works
⚪ Relative Strength Rotation Engine
Each sector is measured against a benchmark symbol, such as VTI or SPY, by dividing the sector’s price by the benchmark price.
ratio = sc / benchClose
This relative strength ratio is normalized into an RS-Ratio value centered around 100. A second momentum calculation measures the rate of change of that RS-Ratio and normalizes it into RS-Momentum, also centered around 100.
rsr = 100.0 + (ratio - basis) / sd
roc = rsr - rsr
rsm = 100.0 + (roc - mb) / msd
Together, these two values create the X and Y coordinates for each sector:
• RS-Ratio above 100 → relative strength is above average
• RS-Ratio below 100 → relative strength is below average
• RS-Momentum above 100 → relative momentum is improving
• RS-Momentum below 100 → relative momentum is weakening
⚪ Four-Quadrant Rotation Map
The chart is divided into four market rotation phases:
phase(float x, float y) =>
x >= 100 and y >= 100 ? "Leading" :
x < 100 and y >= 100 ? "Recovering" :
x < 100 and y < 100 ? "Lagging" :
"Weakening"
• Leading → strong relative strength and rising momentum
• Weakening → strong relative strength but falling momentum
• Lagging → weak relative strength and falling momentum
• Recovering → weak relative strength but improving momentum
This allows traders to quickly understand where each sector currently sits in the rotation cycle.
⚪ Sector Trails and Movement Directio n
Each sector keeps a synchronized historical trail of recent RS-Ratio and RS-Momentum points.
ax.unshift(x)
ay.unshift(y)
if ax.size() > tailLen
ax.pop()
ay.pop()
The newest point is displayed as the sector head marker, while older points form a fading tail behind it. This makes it easier to see not only where a sector is now, but also how it has been rotating over recent samples.
The table also shows each sector’s current heading, such as RS improving, RS weakening, momentum rising, or momentum falling.
dx = ax.get(0) - ax.get(1)
dy = ay.get(0) - ay.get(1)
⚪ Top-Ranked Sector Filtering
The script includes an optional ranking system that can display only the most important sector rotations.
Sectors can be ranked by:
• Fastest movement
• Movement toward Leading
• Movement toward Recovering
• Movement toward Lagging
• Movement toward Weakening
score(array ax, array ay) =>
rankMode == "Fastest movement"
? speed(ax, ay)
: target(ax, ay, rankMode)
When enabled, only the top-ranked sectors are shown on the chart and in the table, helping reduce clutter and focus attention on the most actionable rotations.
selected(int id, bool en) =>
en and (
not useRanking or
rankOf(id) <= topRankN
)
█ How to Use
⚪ Identify Sector Leadership
Look for sectors positioned in the Leading quadrant. These sectors have both strong relative strength and improving momentum compared to the benchmark. Sectors moving into Leading from Recovering can signal early leadership development.
⚪ Watch Weakening Sectors
Sectors in the Weakening quadrant still have above-average relative strength, but their momentum is declining. This can indicate that prior leaders are beginning to lose strength.
⚪ Track Recovering Rotations
Sectors in the Recovering quadrant have below-average relative strength but improving momentum. These areas may represent early rotation opportunities before relative strength fully turns positive.
⚪ Avoid or Monitor Lagging Sectors
Sectors in the Lagging quadrant show both weak relative strength and weak momentum. These sectors are typically underperforming the benchmark and may remain weak until momentum begins to improve.
⚪ Example: Ranked by Fastest Movement
In this example, the ranking mode is set to Fastest Movement with Only Show Top Ranked enabled and Top X = 5.
The indicator measures how quickly each sector is moving through the rotation cycle by comparing the change in its RS-Ratio and RS-Momentum values between samples. Sectors with the largest movement are ranked highest and displayed on the chart.
As a result, only the five sectors showing the strongest relative movement are visible. In this case, all five sectors are positioned inside the Recovering quadrant, indicating that relative momentum has turned positive while relative strength remains slightly below average.
The upward and rightward trajectory of the trails suggests these sectors are improving versus the benchmark and may continue rotating toward the Leading quadrant if current momentum persists.
⚪ Example: Top 5 Sectors Ranked Toward Leading
In this example, the ranking mode is set to Toward Leading with Only Show Top Ranked enabled and Top X = 5.
Rather than ranking sectors by raw speed, the indicator prioritizes sectors moving most directly toward the Leading quadrant, where both relative strength and relative momentum are above the 100 baseline.
Technology currently holds the highest rank, as it has already entered the Leading quadrant with both RS-Ratio and RS-Momentum above 100. Its trail shows a strong and sustained rotation from weaker relative conditions into market leadership, making it the strongest candidate according to the selected ranking method.
Discretionary and Financials are positioned inside the Recovering quadrant. Although they have not yet reached leadership status, their improving momentum and trajectory toward the upper-right portion of the chart suggest continued relative improvement versus the benchmark.
Meanwhile, Staples and Real Estate remain in the Lagging quadrant. However, they are still included in the ranking because their recent movement is directed toward the Leading quadrant, indicating potential early-stage rotation despite their current relative weakness.
This ranking mode is particularly useful for identifying sectors that are not necessarily the strongest today, but are showing the most meaningful progress toward future leadership. By focusing on directional rotation rather than speed alone, traders can often spot emerging leaders before they fully establish themselves in the Leading quadrant.
⚪ Example: Top 5 Sectors Ranked Toward Recovering
In this example, the ranking mode is set to Toward Recovering with Only Show Top Ranked enabled and Top X = 5.
This ranking method prioritizes sectors moving most directly toward the Recovering quadrant, where relative strength remains below average but relative momentum is improving. The goal is to identify sectors that may be emerging from periods of relative underperformance and beginning a new rotation cycle.
Communication Services holds the highest rank in this example. Its trail shows a strong upward movement from the Lagging quadrant into Recovering, indicating a significant improvement in relative momentum while still trading below the relative strength baseline.
Consumer Staples and Real Estate also display characteristics of sectors transitioning toward recovery. Their recent movement suggests momentum is improving despite their relative strength remaining below average.
Technology appears in the Leading quadrant, while Energy remains in Lagging. Although they occupy different quadrants, both are included because their recent directional movement aligns with the path toward the Recovering quadrant based on the ranking algorithm.
This ranking mode is particularly useful for traders seeking early rotation opportunities. Rather than focusing on sectors that are already leading, it highlights areas of the market where momentum is beginning to improve and where relative strength may eventually follow if the recovery continues.
⚪ Example: Top 5 Sectors Ranked Toward Lagging
In this example, the ranking mode is set to Toward Lagging with Only Show Top Ranked enabled and Top X = 5.
This ranking method prioritizes sectors moving most directly toward the Lagging quadrant, where both relative strength and relative momentum fall below the 100 baseline. It helps identify sectors that are losing leadership, weakening relative to the benchmark, or entering periods of sustained underperformance.
Technology and Health Care are currently positioned inside the Weakening quadrant. Both sectors still maintain above-average relative strength, but their declining momentum suggests they are rotating away from leadership and moving closer toward Lagging conditions.
Meanwhile, Staples, Utilities, and Real Estate remain within the Recovering quadrant. Although momentum is still positive, their relative strength remains below average. Their inclusion in the ranking reflects the direction of their recent movement rather than their current location, indicating they are rotating toward weaker relative conditions.
The trails highlight this transition clearly, with several sectors showing movement away from stronger quadrants and toward areas associated with declining performance.
This ranking mode is useful for identifying sectors that may be losing institutional sponsorship, weakening relative to the broader market, or approaching the later stages of the relative strength cycle. Traders can use it to spot deteriorating leadership and monitor sectors that may continue underperforming if current trends persist.
⚪ Example: Top 5 Sectors Ranked Toward Weakening
In this example, the ranking mode is set to Toward Weakening with Only Show Top Ranked enabled and Top X = 5.
This ranking method prioritizes sectors moving most directly toward the Weakening quadrant, where relative strength remains above average but relative momentum has begun to deteriorate. These sectors often represent former leaders that are losing momentum before potentially transitioning into the Lagging quadrant.
Technology holds the highest rank in this example. While its relative strength remains above the 100 baseline, its momentum has fallen below 100, placing it firmly inside the Weakening quadrant. Its recent trail illustrates a loss of momentum despite previously strong relative performance, making it a textbook example of a sector rotating away from leadership.
Health Care remains in the Leading quadrant but is also ranked highly because its recent movement is directed toward Weakening. Although it continues to outperform the benchmark, the decline in momentum suggests its leadership position may be starting to fade.
Materials is already positioned within the Weakening quadrant, while Energy and Real Estate remain in Recovering. Their inclusion reflects the direction of their recent movement rather than their current location, indicating they are rotating toward conditions associated with weakening relative performance.
This ranking mode is useful for identifying sectors that may be nearing the end of their leadership cycle. Traders often monitor these sectors for signs of continued momentum deterioration, profit-taking activity, or a potential transition into the Lagging quadrant if relative strength begins to weaken further.
█ Settings
Benchmark: Selects the symbol each sector is compared against.
Calculation Timeframe: Defines the timeframe used for all relative strength and momentum calculations.
RS-Ratio Lookback: Controls the normalization period for relative strength.
RS-Momentum Lookback: Controls how quickly momentum responds to changes in RS-Ratio.
Tail Length: Sets how many historical samples are shown behind each sector.
Sample Every N Bars: Controls how frequently new trail points are recorded.
Show Sector Table: Shows or hides the summary table with phase, heading, RS, and momentum values.
Only Show Top Ranked: Enables filtering so only the strongest ranked sectors are displayed.
Top X: Defines how many ranked sectors remain visible.
Rank By: Selects how sectors are ranked, either by speed or movement toward a selected quadrant.
Sector Inputs: Allows each sector to be enabled, disabled, customized, or replaced with another symbol.
Canvas Width: Controls the horizontal size of the rotation map.
Canvas Height: Controls the vertical size of the rotation map.
Symmetric Bounds Around 100: Keeps the chart balanced around the 100 baseline.
Minimum Axis Span: Prevents small movements from being visually exaggerated.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicator
Midas Liquidity HeatmapMidas Liquidity Heatmap
Overview
Midas Liquidity Heatmap is a multi-source liquidity zone indicator for cryptocurrency markets. It is designed to highlight potential liquidity areas above and below the current price by analyzing price action, volume behavior and source confluence.
The script runs a liquidity engine across four fixed market sources: Binance Spot, Binance Futures, Bybit Spot and Bybit Futures. These sources are aggregated into one heatmap, and a zone is displayed only when enough sources point to a similar price area. This helps reduce single-exchange noise and makes the displayed zones less dependent on the currently selected chart exchange.
This indicator is designed for tradable crypto spot and futures pairs. It is intentionally disabled on index and dominance charts, such as BTC.D, ETH.D, USDT.D, USDC.D, TOTAL, TOTAL2, TOTAL3 and similar symbols, because these charts do not represent directly tradable order-flow markets for a single asset.
How it works
Each source is processed separately. Volume is accumulated and normalized per source, so one venue does not dominate the final heatmap only because it has higher reported volume. If volume data is not available, candle range is used as a fallback proxy.
A shared calculation range is built from all active sources before zones are created. This keeps all sources aligned inside the same internal price grid.
Each price area tracks which sources contributed to it. A zone is drawn only when the required number of sources agrees around a similar price area. A small neighboring-range tolerance is used to handle minor price differences between exchanges.
When price trades through a level, that level is treated as swept liquidity. Swept levels are shown as faint history lines, so users can see where price has already interacted with previous liquidity areas.
The script also strengthens zones located near important swing highs and swing lows. In addition, an independent volume-swing module detects high-volume swing points and adds extra weight to the same heatmap engine. This module uses custom pivot detection, width calculation, strength scoring and engine-grid alignment.
If fewer than two external sources are available for a symbol, the script automatically falls back to the current chart data.
How to use
Red zones represent potential liquidity above price.
Green zones represent potential liquidity below price.
Brighter or wider zones indicate stronger estimated liquidity.
Faint neutral lines show levels that have already been swept by price.
The zones can be used as market context: possible reaction areas, liquidity targets, or places where stop orders may cluster. They should be combined with market structure, trend, volume analysis and proper risk management.
Credits and License
This script is based on the open-source “Dynamic Liquidity HeatMap Profile ” by BigBeluga, licensed under Mozilla Public License 2.0.
The original source link is included in the script header.
This version extends the original concept with multi-source exchange aggregation, cross-exchange confluence filtering, per-source normalization, chart fallback logic, swept-liquidity history, important-extremes weighting and an independently implemented volume-swing boost module.
Important note
Midas Liquidity Heatmap does not use real exchange liquidation data or live order-book data. It models potential liquidity areas using price action, volume behavior and cross-source confluence.
This indicator is for informational and educational purposes only. It is not a standalone buy or sell signal and is not financial advice. Indicator
6 GAN 8 TIMEFRAME POWER FUSION6 GAN 8 TIMEFRAME POWER FUSION
6 GAN 8 Timeframe Power Fusion is a multi-layer market analysis engine designed to combine trend structure, market participation, momentum, volatility, and price flow into a single decision framework.
The purpose of this indicator is not to generate signals from a single formula or a single oscillator. Instead, it attempts to evaluate the market through multiple independent perspectives and only produces high-confidence signals when those perspectives begin to align.
Multi-Timeframe Analysis Engine
One of the core components of the system is the 8 Timeframe Synchronization Model.
The indicator continuously analyzes:
1 Minute
5 Minute
15 Minute
30 Minute
1 Hour
4 Hour
Daily
Weekly
Rather than relying on one chart timeframe, the system evaluates directional agreement across all monitored periods.
When multiple timeframes begin moving in the same direction, market structure becomes stronger and directional confidence increases.
The TF score displayed in the panel represents how many timeframes currently support the active direction.
Example:
TF 3/8 = Weak alignment
TF 5/8 = Moderate alignment
TF 7/8 = Strong alignment
TF 8/8 = Maximum synchronization
The highest-quality trade opportunities often emerge when higher and lower timeframes begin moving together.
6 GAN Trend Structure Layer
The second core component is the 6 GAN Trend Engine.
Instead of using a single trend line, the system analyzes multiple GAN-inspired trend structures simultaneously.
Each GAN layer evaluates price behavior from a different perspective and trend duration.
The purpose is to measure whether trend strength exists across short-term, medium-term, and long-term structures.
When most GAN layers agree, trend reliability increases significantly.
Example:
GAN 2/6 = Weak trend structure
GAN 4/6 = Developing trend
GAN 5/6 = Strong trend
GAN 6/6 = Full trend agreement
A signal supported by both Timeframe Synchronization and GAN Synchronization generally carries more weight than a signal supported by only one of them.
Volume Fusion Layer
The Volume Fusion Engine combines:
Delta
CVD (Cumulative Volume Delta)
OBV (On Balance Volume)
These components help evaluate participation behind price movement.
Price can move without conviction, but sustainable trends are usually supported by volume.
The FLOW section of the panel provides insight into whether buying pressure or selling pressure is strengthening.
Special attention should be given to:
RES↑ (Resistance Break)
SUP↓ (Support Break)
These events often indicate significant shifts in market participation.
RSI Momentum Layer
The RSI component is not used as a standalone overbought/oversold tool.
Instead, it acts as a momentum confirmation layer.
Strong trends tend to maintain strong RSI conditions for extended periods.
The indicator uses RSI to measure whether market momentum supports the direction suggested by the GAN and Timeframe engines.
ATR Volatility Layer
ATR is used to evaluate market activity and volatility expansion.
Two important states are monitored:
COMP (Compression)
Low volatility environment.
Markets often consolidate and store energy during compression phases.
EXP (Expansion)
Volatility expansion.
This frequently occurs after compression and can lead to directional movements or breakout opportunities.
Compression zones should not automatically be considered entry zones. Instead, they should be viewed as areas where the market may be preparing for its next significant move.
Understanding the Power Score
The Power Score combines all major layers:
8 Timeframe Engine
6 GAN Engine
Volume Fusion
RSI Momentum
ATR Volatility
The score is designed to provide a quick overview of overall market strength.
General interpretation:
Below 35 = Bearish pressure
35–65 = Neutral zone
Above 65 = Bullish pressure
Above 80 = Strong directional environment
The score should not be interpreted as a prediction. It is a measurement of current market conditions.
Best Use Cases
The indicator performs best when multiple layers align simultaneously.
A stronger bullish scenario may include:
TF 7/8 or higher
GAN 5/6 or higher
FLOW showing buying pressure
ATR in expansion mode
Power Score above 65
A stronger bearish scenario may include:
TF 7/8 or higher in the opposite direction
GAN 5/6 or higher bearish alignment
FLOW showing selling pressure
ATR expansion
Power Score below 35
The highest-quality opportunities generally occur when Timeframes, GAN structures, volume flow, and volatility expansion all point in the same direction.
This indicator should be viewed as a market analysis framework rather than a standalone signal generator.
Its primary objective is to help traders understand when multiple layers of market information begin to align and when the probability of directional continuation may be increasing.
TÜRKÇE
6 GAN × 8 TIMEFRAME POWER FUSION
6 GAN × 8 Timeframe Power Fusion, trend yapısını, piyasa katılımını, momentumu, volatiliteyi ve fiyat akışını tek bir analiz motorunda birleştirmek amacıyla geliştirilmiş çok katmanlı bir piyasa okuma sistemidir.
Bu göstergenin amacı tek bir formülden veya tek bir osilatörden sinyal üretmek değildir. Bunun yerine piyasanın farklı katmanlarını aynı anda değerlendirerek yalnızca bu katmanlar uyum göstermeye başladığında yüksek güvenilirlikli bölgeleri ortaya çıkarmaya çalışır.
8 Zaman Dilimli Senkronizasyon Motoru
Sistemin temel taşlarından biri 8 Timeframe Senkronizasyon Motorudur.
Gösterge aynı anda şu zaman dilimlerini analiz eder:
1 Dakika
5 Dakika
15 Dakika
30 Dakika
1 Saat
4 Saat
Günlük
Haftalık
Tek bir zaman dilimine bağlı kalmak yerine farklı zaman dilimlerinin yönsel uyumunu ölçer.
Birden fazla zaman dilimi aynı yönde hareket etmeye başladığında piyasa yapısı güçlenir ve yönsel güven artar.
Panelde görülen TF değeri kaç zaman diliminin aynı yönü desteklediğini gösterir.
Örnek:
TF 3/8 = Zayıf uyum
TF 5/8 = Orta seviye uyum
TF 7/8 = Güçlü uyum
TF 8/8 = Maksimum senkronizasyon
En kaliteli işlem bölgeleri genellikle alt ve üst zaman dilimlerinin birlikte hareket etmeye başladığı alanlarda oluşur.
6 GAN Trend Yapısı Motoru
Sistemin ikinci temel katmanı 6 GAN Trend Motorudur.
Tek bir trend çizgisi kullanmak yerine farklı periyotlarda çalışan çoklu GAN yapıları analiz edilir.
Her GAN katmanı piyasaya farklı bir açıdan bakar ve farklı sürelerdeki trend gücünü ölçer.
Amaç kısa, orta ve uzun vadeli trendlerin aynı anda destek verip vermediğini belirlemektir.
GAN katmanları arasında uyum arttıkça trend güvenilirliği de artar.
Örnek:
GAN 2/6 = Zayıf trend yapısı
GAN 4/6 = Trend oluşumu
GAN 5/6 = Güçlü trend
GAN 6/6 = Tam trend uyumu
Hem Timeframe hem de GAN katmanları aynı yönde birleştiğinde sinyal kalitesi belirgin şekilde yükselir.
Volume Fusion Katmanı
Volume Fusion Motoru üç farklı hacim bileşenini bir araya getirir:
Delta
CVD (Kümülatif Hacim Delta)
OBV (On Balance Volume)
Bu yapı fiyat hareketinin arkasındaki gerçek katılımı ölçmeye çalışır.
Fiyat yükselebilir veya düşebilir ancak kalıcı hareketler genellikle hacim desteği ile oluşur.
Paneldeki FLOW bölümü piyasanın alım veya satım baskısını göstermeye yardımcı olur.
Özellikle:
RES↑ (Direnç Kırılımı)
SUP↓ (Destek Kırılımı)
durumları piyasa katılımında önemli değişimlere işaret edebilir.
RSI Momentum Katmanı
RSI burada klasik aşırı alım veya aşırı satım göstergesi olarak kullanılmaz.
Görevi momentumu doğrulamaktır.
Güçlü trendler genellikle güçlü RSI değerlerini uzun süre koruyabilir.
Bu nedenle RSI, Timeframe ve GAN motorlarının gösterdiği yönü destekleyip desteklemediğini ölçen ek bir filtre görevi görür.
ATR Volatilite Katmanı
ATR piyasadaki hareketliliği ve volatilite genişlemesini ölçmek için kullanılır.
İki temel durum takip edilir:
COMP (Compression)
Düşük volatilite dönemi.
Piyasa bu bölgelerde enerji toplama eğilimindedir.
EXP (Expansion)
Volatilite genişlemesi.
Genellikle sıkışma dönemlerinden sonra ortaya çıkar ve güçlü hareketlere zemin hazırlayabilir.
Sıkışma bölgeleri doğrudan işlem sinyali olarak değerlendirilmemelidir. Daha çok yaklaşan hareketin hazırlık aşaması olarak görülmelidir.
Power Score Nasıl Yorumlanmalı?
Power Score şu katmanların birleşiminden oluşur:
8 Timeframe Motoru
6 GAN Motoru
Volume Fusion
RSI Momentum
ATR Volatilite
Bu skor piyasanın genel gücünü hızlı şekilde değerlendirmeyi amaçlar.
Genel yorum:
35 altı = Ayı baskısı
35–65 = Nötr bölge
65 üzeri = Boğa baskısı
80 üzeri = Güçlü yönsel ortam
Power Score bir tahmin değildir.
Mevcut piyasa koşullarının gücünü ölçen birleşik bir değerlendirme sistemidir.
En Verimli Kullanım Şekli
Gösterge en iyi sonucu katmanların birlikte hizalandığı bölgelerde verir.
Güçlü bir yükseliş senaryosunda genellikle:
TF 7/8 veya üzeri
GAN 5/6 veya üzeri
FLOW alım yönünde
ATR EXP durumunda
Power Score 65 üzeri
görülür.
Güçlü bir düşüş senaryosunda ise:
TF 7/8 veya üzeri aşağı yönlü
GAN 5/6 veya üzeri aşağı yönlü
FLOW satış yönünde
ATR EXP durumunda
Power Score 35 altı
görülebilir.
En yüksek kaliteli işlem bölgeleri Timeframe uyumu, GAN uyumu, hacim akışı ve volatilite genişlemesinin aynı yönde birleştiği alanlarda ortaya çıkar.
Bu nedenle gösterge bir sinyal makinesinden çok, piyasayı çok katmanlı şekilde okumaya yardımcı olan kapsamlı bir analiz motoru olarak değerlendirilmelidir. Indicator
HTF Delta Flux + Liquidations [BigBeluga]HTF Delta Flux + Liquidations is a high-timeframe order flow diagnostic tool that visualizes the internal volume dynamics of macro candles. By projecting Higher Timeframe (HTF) structures onto your current chart, it reveals the "Flux"—the movement of Cumulative Volume Delta—and identifies high-velocity volume spikes often associated with liquidations.
Unlike standard indicators that only show a candle’s open and close, this script breaks down the aggressive buying and selling that occurred inside the candle’s duration.
🔵 CONCEPTS
HTF Candle Boxes: Automatically draws the body and wicks of a higher timeframe (e.g., Daily or Weekly) over your intraday price action.
The Delta Flux Curve: An internal polyline that maps the path of Cumulative Volume Delta within the HTF candle. This allows you to see if a candle’s volume was "front-loaded" or "back-loaded."
Full Body Mode: A visual toggle that expands the candle box to cover the entire High-Low range, creating a "Liquidity Zone" view.
Cumulative Delta Dashboard: A real-time table tracking the last N HTF candles, displaying their directional bias, total delta, and the volume contributed by liquidation flushes.
🔵 THE SYNTHETIC LIQUIDATION ENGINE
It is important to note: This indicator does not use real-time exchange liquidation API data. Since PulseWire does not provide native exchange-level liquidation feeds for all symbols, this tool uses a Volume-Based Proxy to identify liquidation-like events.
How it works:
The engine monitors the rate of change in Volume Delta. When a volume spike exceeds a specific Standard Deviation threshold relative to recent activity, it identifies a "Liquidity Flush." In the market, these extreme, sudden bursts of volume often correlate with forced liquidations or stop-run cascades.
Circle Markers: Appear at the high or low of the bar where the flush occurred.
Volume Labels: Display the specific amount of aggressive delta that triggered the signal.
🔵 FEATURES
Customizable HTF Timeframe: Analyze Daily, Weekly, or even Monthly order flow on 1-minute or 5-minute charts.
Standard Deviation Sensitivity: Fine-tune the "Dev Threshold" to filter out minor volume noise and only highlight the most significant liquidity events.
Live Delta Tracking: The current "Live" candle displays a real-time count of the active delta flux.
Historical Bias Analysis: The dashboard calculates the average bias and liquidation volume over your selected history to identify macro trend exhaustion.
🔵 HOW TO USE
Spotting Absorption: If you see a large Bullish HTF candle but the Delta Flux Curve is trending downward, it suggests aggressive selling is being absorbed by limit buyers.
Trading the "Flush": Liquidation labels (circles) often mark the local top or bottom of a move. When a "Liq" label appears after a fast price extension, it frequently signals a temporary exhaustion of the move.
Trend Confluence: Use the Dashboard to see if "Average Liq Volume" is increasing. Rising liquidation volume at the end of a trend often precedes a major reversal.
Intra-Candle Context: Watch the Delta Curve . If price is moving higher but the curve is flat, the move is likely low-conviction and prone to a retracement.
🔵 CONCLUSION
HTF Delta Flux + Liquidations bridges the gap between macro structure and micro order flow. By transforming raw volume into a visual "Flux" path and highlighting mathematical volume anomalies, it provides traders with a sophisticated map of institutional aggression and retail exhaustion. Indicator
Indicator
Advanced Fear & Greed Cycle (Quant Model)## Overview
The **Advanced Fear & Greed Cycle (Quant Model) v6** is a pure quantitative oscillator designed to decode market sentiment by measuring the architectural divergence between smart money accumulation and retail distribution. Fully upgraded to Pine Script v6, this script addresses standard oscillator limitations by implementing dynamic time-frequency normalization ($0-100$ fixed scale).
Unlike standard sentiment proxies, this model filters out price-action noise by isolating volume flows, directional volatility, and mean-reversion extensions simultaneously.
---
## Mathematical Architecture & Core Engines
### 1. Directional Volatility Engine
Standard models treat volatility expansions as pure panic. This algorithm isolates **Directional Volatility**:
- A 14-period Average True Range (ATR) is mathematically normalized over a dynamic 90-day rolling quarter (`lookback`).
- **Trend Filter:** Volatility is converted into the `vol_fear` metric **only** if the closing price is below its 14-period Simple Moving Average (`is_descending`). Upside expansions (bullish breakouts) are correctly filtered out to prevent false panic readings.
### 2. Normalized Volume & Flow Sentiment
Liquidity and order-flow tracking are computed via a three-layered matrix:
- Normalized Volume spikes relative to the quarterly window.
- Inside-candle Selling Pressure ( AMEX:HIGH - Close$ versus the overall candle range).
- A normalized On-Balance Volume (OBV) structure to track mathematical capital inflows and outflows.
### 3. Boundary-Proof Macro Extension (Mayer Proxy)
To track cyclical overextensions, the script calculates the asset's percentage distance from its long-term moving average (SMA 200 on Daily, SMA 40 on Weekly charts).
To solve the scale break-out issue (where different assets experience wildly different percentage extensions), a **MinMax Normalization** is applied. This compresses the structural extension into a bound $0-100\%$ scale (`extension_norm`) based on the rolling quarter's extremes.
---
## The Greed Score Synthesizer
The final plotting line is the **Greed Score**, a mathematically symmetric index calculated as:
$$\text{Greed Score} = \frac{(100 - \text{Fear Index}) + \text{Extension Norm}}{2}$$
This creates a fixed-bound oscillator ($0$ to $100$) that charts three distinct market phases:
- 🟢 **INSTITUTIONAL ACCUMULATION (Green Zone / < 20):** High systemic fear combined with compressed macro price extensions (< 25%). Smart money absorbs panicking retail order flow near historical value areas.
- ⚪ **NEUTRAL REGIME (Gray Line):** Symmetrical equilibrium where supply and demand are balanced.
- 🔴 **RETAIL FOMO / BUBBLE (Red Zone / > 80):** Zero systemic fear combined with extreme quarterly price overextensions. Retail traders buying the top driven by euphoria, highlighting distribution blocks.
---
## Display Dashboard & Custom Parameters
The top-right informational panel provides real-time diagnostic outputs of the quantitative data (Current Cycle State, Exact Greed Score, and Normalized Extension %). Traders can adjust the `Soglia Bolla Normalizzata` input to calibrate the macro-exhaustion scanner to specific asset classes (Equities, Forex, or Cryptocurrencies).
---
Disclaimer: This tool calculates mathematical probabilities based on normalized historical structures. It does not provide definitive buy/sell signals or financial advice. Always integrate sound risk management protocols. Indicator
Smart Money Sentiment Index [MarkitTick]💡A comprehensive analytical tool designed to bridge the gap between underlying market psychology and structural price action. By synthesizing a multi-dimensional sentiment oscillator with an advanced market structure mapping system, this indicator provides a holistic view of market dynamics. It is engineered to identify periods of psychological exhaustion—where market participants exhibit extreme fear or greed—and cross-reference these anomalies with significant shifts in supply and demand. This confluence allows for a highly disciplined approach to navigating volatile environments, ensuring that structural analysis is always contextualized by prevailing market sentiment.
✨ Originality and Utility
Traditional oscillators typically isolate a single variable, such as momentum or volume, which often leads to diverging signals during complex market phases. Furthermore, structural mapping tools operate strictly on price geometry without considering the behavioral state of the market. This tool is highly original because it resolves this disconnect. It operates as a strategic mashup, justifying the combination of sentiment analysis and structure mapping by positing that structural breaks are significantly more reliable when they align with behavioral extremes. By unifying these two previously disparate analytical frameworks, the indicator filters out structural noise that occurs in neutral psychological zones, delivering a refined perspective on market conditions.
🔬 Methodology and Concepts
The underlying methodology relies on a dual-engine architecture, carefully abstracted to maintain calculation integrity and protect core logic.
• The Sentiment Engine
The sentiment component processes multiple parallel vectors of market data. It continually assesses momentum differentials, volatility compression and expansion, volume participation intensity, and relative positioning. These vectors are mathematically normalized and aggregated into a singular composite score ranging from zero to one hundred. This raw composite is then passed through a dynamic smoothing algorithm to filter out erratic tick-level noise, resulting in a stable primary sentiment value. A secondary signal line is derived from this primary value to calculate momentum convergence and divergence, effectively anticipating shifts in behavioral trends before they fully materialize.
• The Structural Engine
Operating concurrently, the structural engine performs rigorous swing analysis. It continuously scans historical price action to identify confirmed pivot highs and pivot lows based on user-defined parameters. When price action eclipses these pivotal nodes, the engine mathematically categorizes the event as either a continuation of structure or a fundamental shift in character. Upon confirmation of these structural shifts, the engine projects dynamic support and resistance zones, tracking their mitigation status in real-time to visualize areas of untested liquidity.
🎨 Visual Guide
The visual presentation is meticulously designed to present complex data hierarchies without obscuring price action.
• The Oscillator Pane
The primary sentiment line oscillates between 0 and 100, plotted prominently to reflect current market psychology.
A secondary, semi-transparent signal line tracks the primary sentiment, providing a visual cue for momentum crossovers.
Horizontal reference levels establish the baseline neutral zone (50), as well as the thresholds for extreme greed and extreme fear.
The background of the oscillator pane dynamically illuminates with deeply saturated hues when the sentiment breaches the outermost extremes, providing immediate visual notification of exhaustion.
• Chart Elements and Overlays
Price candles feature dynamic color gradients that transition from deep red to vibrant green, providing a bar-by-bar heatmap of the underlying sentiment.
Dashed horizontal lines project across the chart to mark significant structural breaks, accompanied by precise text labels denoting the nature of the break.
Translucent rectangular zones are drawn at the origin points of structural breaks, visually representing active areas of interest.
The color coding of these zones shifts to a muted, darker shade once price successfully retests and mitigates the area, allowing the user to distinguish between fresh and exhausted liquidity.
• The Analytics Dashboard
A highly structured table anchors to the chart, displaying real-time metrics:
FGI Value : The exact numerical sentiment score paired with a visual magnitude bar.
Signal Value : The smoothed momentum score.
Momentum Gap : Calculates the absolute distance between the sentiment and signal lines, indicating whether the psychological momentum is expanding or narrowing.
Bias Regime : Classifies the broader environment as rising or extreme within the context of fear or greed.
Zone Status : Explicitly warns when the market enters extreme threshold boundaries.
Zero Cross Age : A bar-counting mechanism that tracks the duration since the sentiment last crossed the neutral baseline.
Market Structure : Displays the current prevailing structural trend confirmed by the SMC engine.
📖 How to Use
This tool is designed to foster a systematic approach to market analysis, utilizing confluence to filter high-probability environments.
Identify Behavioral Exhaustion : Monitor the sentiment oscillator and the analytics dashboard. When the market enters the extreme greed or extreme fear background zones, recognize that the prevailing trend is highly saturated and susceptible to mean reversion.
Wait for Structural Confirmation : Do not act solely on sentiment extremes. Wait for the structural engine to print a confirmed shift in character on the chart.
Assess the Momentum Gap : Consult the dashboard to ensure the momentum gap is expanding in the direction of the new structural shift, validating that market psychology supports the technical breakout.
Define Invalidation : Utilize the freshly generated, unmitigated order block zones as logical areas to define risk parameters and structural invalidation points.
⚙️ Inputs and Settings
The indicator provides extensive configurability to adapt to various market environments.
• Sentiment Parameters
FGI Period : Dictates the lookback window for the core sentiment vectors. Shorter lengths increase sensitivity, while longer lengths identify macro psychological shifts.
Signal Line Period : Adjusts the smoothing factor for the secondary momentum tracker.
Overbought/Oversold Levels : Allows the user to define the exact numerical thresholds that trigger the extreme background zones and alerts.
• Visual and Dashboard Configurations
Color Price Candles : Toggles the sentiment-based gradient coloring on the main chart candles.
Dashboard Settings : Provides options to customize the background and text colors of the analytics panel for optimal visibility.
• Structural Settings
Swing Length : Determines the number of bars required to confirm a valid structural pivot point.
Enable SMC Overlay : A master toggle for the structural lines and zone boxes.
Track/Hide Mitigation : Configures how the indicator handles zones once they have been retested by price, offering the option to either recolor them or remove them entirely to keep the chart clean.
• Alert Conditions
FGI crosses Zero : Generates a notification when sentiment flips across the neutral 50 baseline.
OB/OS Level Breach : Triggers a warning precisely when the market enters the predefined extreme psychological zones.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The theoretical foundation of this indicator is deeply rooted in the principles of behavioral finance and auction market theory. Traditional quantitative finance assumes rational actors operating in an efficient market; however, empirical evidence demonstrates that markets are frequently driven by cognitive biases, leading to periods of irrational exuberance (greed) and unwarranted panic (fear).
The sentiment engine models this behavioral distribution by capturing standard deviations in volatility and momentum, mapping the data onto a normalized sigmoid-like curve. This quantifies the exact degree of psychological saturation. When a market reaches the tail ends of this distribution, the probability of mean reversion increases exponentially due to the exhaustion of marginal buyers or sellers.
Simultaneously, the structural engine maps these psychological states onto the physical mechanics of order flow. Breakouts and structural shifts that occur during neutral sentiment phases are often the result of standard liquidity provision and algorithmic execution. However, structural breaks that trigger concurrently with extreme sentiment readings mathematically validate a macro shift in participant behavior. By tracking the origin points of these shifts (order blocks), the indicator highlights the exact price vectors where institutional and large-scale participants initiated the phase transition, offering a rigorous, data-driven framework for anticipating future supply and demand imbalances.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
1% Gamma Indicator + VPGamma Indicator + VP
Automatically displays key Gamma Exposure (GEX) levels and Volume Profile data for 48 US equities and futures — no manual input required. The indicator switches levels automatically based on the chart symbol.
自動顯示 48 隻美股及期貨的關鍵 Gamma Exposure（GEX）水平與成交量分佈數據，無需手動輸入。指標根據當前圖表標的自動切換對應數據。
Supported symbols 支援標的：
QQQ, SPY, NVDA, AAPL, MSFT, AMZN, TSLA, META, GOOGL, GOOG, IWM, SMH, GLD, TLT, ARM, IBIT, NQ1!, GC1!, MRVL, INTC, COHR, LITE, POWL, CVS, KO, MU, ASTS, CRWV, RKLB, TSM, IREN, ONDS, APT, LAKE, AAOI, CRCL, SNDK, NOW, BRK.B, MUU, QUBT, NKE, VST, CEG, PLTR, BE, BTCUSDT, ETHUSDT
GEX Levels 關鍵水平
🟢 Call Wall（認購牆）
Strongest overhead resistance — dealers are long gamma above this level.
最強上方阻力，做市商在此以上持有正 Gamma。
🔴 Put Wall（認沽牆）
Strongest downside support — dealers are long gamma below this level.
最強下方支撐，做市商在此以下持有正 Gamma。
⚡ GEX Flip（零 Gamma 線）
Zero-gamma boundary. Above = pinned / range-bound. Below = trending / volatile.
臨界水平。價格在上方＝區間震盪；在下方＝趨勢波動。
⚪ HVL（高波動水平）
High Volatility Level — key pivot zone.
關鍵樞軸區域。
⚪ Max Pain（最大痛苦點）
Strike where option buyers lose the most at expiry. Watch on Opex week.
期權買家在到期日損失最大的行使價，到期週尤為重要。
🟢 VU Trigger（向上觸發）
Breakout / squeeze signal above the Call Wall.
突破 Call Wall 的擠倉訊號。
🔴 VD Trigger（向下觸發）
Breakdown signal below the Put Wall.
跌穿 Put Wall 的破位訊號。
GEX Heatmap 伽瑪熱力圖（right side of chart 圖表右側）
64-bar profile showing GEX intensity at each price strike.
64 格條形圖，顯示各行使價的 GEX 強度。
🟢 Teal = positive gamma (stabilising / mean-reverting force)
青色 = 正 Gamma（穩定 / 均值回歸力）
🔴 Red = negative gamma (trending / amplifying force)
紅色 = 負 Gamma（趨勢延伸 / 波動放大力）
Bright bars = real option strikes; faded bars = interpolated zones.
實色條 = 真實期權行使價；淡色條 = 插值過渡區間。
Volume Profile 成交量分佈
POC — Point of Control / 成交量控制點（成交量最高價格）
VAH — Value Area High / 價值區間上沿
VAL — Value Area Low / 價值區間下沿（70% 成交量所在區域）
Expected Move 預期波動範圍
Orange dashed lines showing VIX-derived expected move to the next monthly Opex (3rd Friday). Updates in real time as VIX changes.
橙色虛線顯示以 VIX 波幅推算的每月 Opex（第三個星期五）前預期波動幅度，隨 VIX 實時更新。
Regime Table 機制判斷（bottom-right 右下角）
Regime Meaning
POS PINNED 正 Gamma 鎖定 Price above GEX Flip — range day, mean-reversion 價格高於零 Gamma 線，預期區間震盪
NEG TRENDING 負 Gamma 趨勢 Price below GEX Flip — momentum, wider swings 價格低於零 Gamma 線，預期趨勢延伸
Day Bias signals 日內偏向訊號：
VU SQUEEZE（向上擠倉）、VD BREAK（向下破位）、ABOVE CALL（突破認購牆）、RANGE DAY（區間日）、PUT BREAK（跌穿認沽牆）、VOLATILE（高波動）
Settings 設定選項
Toggle GEX Flip line / 開關 GEX Flip 水平線
Toggle Pos / Neg gamma heatmap independently / 獨立開關正 / 負 Gamma 熱力圖
Toggle VAL / VAH / POC lines / 開關成交量分佈水平線
Toggle detailed GEX Report table / 開關詳細 GEX 報告表格
Data Source 數據來源
GEX levels are computed from options market data and updated periodically during US market hours. Volume Profile levels are computed from PulseWire intraday data.
GEX 水平由期權市場數據計算，於美股交易時段定期更新。成交量分佈數據來自 PulseWire 日內數據。
Note 注意： This indicator embeds GEX data as snapshots. The last update time is shown in the script header. Unsupported symbols display no levels — no errors, simply hidden.
本指標以數據快照方式嵌入 GEX 水平，數據更新時間顯示於腳本標題。不支援的標的不會顯示任何水平，不影響圖表使用。 Indicator
Indicator
Indicator
Indicator
US Treasury Auction ZonesUS Treasury Auction Zones
An ICT-style killzone indicator that highlights US Treasury auction days and marks the critical 1:00–2:00 PM ET volatility window when auction results are announced.
Why Treasury Auctions Matter
The US Treasury auctions hundreds of billions in debt each month. When results drop at 1 PM ET, the market learns two things simultaneously — the yield the Treasury had to pay and how much demand showed up. For futures traders, the reaction is immediate and sharp. Gold (MGC/GC), equity indices (ES, NQ), and crude oil (CL) all move on the yield signal. TIPS auctions are especially relevant to gold since they directly reveal real yields — the primary driver of gold's inverse rate relationship.
How It Works
Rather than hardcoding dates, the indicator uses the Treasury's consistent monthly scheduling pattern to compute auction days perpetually — forward and backward across any chart date without expiry or manual updates.
The nth-weekday rule: the Nth occurrence of a weekday in a month falls precisely when the day-of-week matches and the day-of-month is within the corresponding 7-day window. No external data required.
Scheduling rules used:
10Y Note — 2nd Wednesday of each month
30Y Bond — 2nd Thursday of each month
20Y Bond — 3rd Wednesday of each month
3Y Note — 2nd Tuesday of each month
2Y Note — 4th Tuesday of each month
5Y Note + 2Y FRN — 4th Wednesday of each month
7Y Note — 4th Thursday of each month
Bills — Monday through Thursday weekly (off by default)
Three Tiers
🔴 T1 — Major (10Y Note · 20Y Bond · 30Y Bond)
The most watched auctions. Largest impact on yields, gold, and risk assets. These determine where the Treasury must price long-duration debt and often set the directional tone for the session.
🟠 T2 — Coupons (2Y · 3Y · 5Y · 7Y Notes · TIPS · FRN)
Significant auctions. TIPS results are uniquely relevant to gold traders — they directly reveal real yields at the moment of issuance, without the continuous noise of secondary market repricing.
🟡 T3 — Bills (4W · 6W · 8W · 13W · 17W · 26W · 52W)
High frequency, lower impact. Off by default to avoid coloring nearly every weekday. Enable when monitoring short-end rate dynamics or bill market stress.
Visual Elements
Day background — full session colored by tier (T1 red · T2 amber · T3 yellow) so auction days are immediately visible as you scan the chart
1–2 PM ET overlay — vivid white overlay fires on top of the tier color during the killzone window, matching the ICT killzone visual language
Session open label — ● T1 10Y Note appears at the first bar of each auction day so you know what's coming before 1 PM
1 PM label — UST T1 10Y Note · 1:00 PM ET marks the exact bar when the killzone opens
Both labels are independently toggleable. All colors are fully customizable.
Alerts Included
T1 auction 1 PM killzone open
T2 auction 1 PM killzone open
Any auction 1 PM killzone open
T1 auction day open (pre-session warning)
Notes
The nth-weekday scheduling rules match the Treasury's published pattern for the vast majority of auctions. Holiday shifts (which move auction dates by one day) are not applied — these are rare and the indicator remains accurate within one trading day for affected months. TIPS auction weeks follow the same weekday anchor as other T2 auctions and are included in the T2 tier accordingly.
Holiday shifts aside, this indicator requires no updates and works on any timeframe, any instrument, any date range.
Indicator
NAJI EL HAJJ HASSAN ntraday Regime Index (NIRI) The Naji INaji Intraday Regime Index (NIRI)
The Naji Intraday Regime Index (NIRI) is an adaptive market activity and volatility regime indicator designed to identify whether the current trading session is behaving in compression, balance, expansion, or momentum conditions relative to its historical intraday behavior.
Unlike traditional volatility indicators such as ATR, NIRI compares the current session’s cumulative intraday movement against the average movement of the same exact time window across a user-defined historical sample.
The indicator measures the market’s real intraday activity using cumulative absolute price movement:
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∑∣close−close ∣
This approach captures actual market participation and directional activity more effectively than simple net price change, allowing traders to detect:
ranging environments,
volatility compression,
session expansion,
abnormal momentum conditions,
and statistically quiet or active trading periods.
NIRI dynamically compares:
the current day’s movement from a selected starting time (market open or custom time),
to a selected ending time (current time or custom time),
against the same intraday window over a configurable number of previous trading sessions.
The output is expressed as a relative activity percentage:
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100
Historical Average
Current Movement
×100
Interpretation example:
Below 70% → Compression / low activity / ranging conditions
70%–100% → Normal session behavior
Above 100% → Expansion relative to historical norms
Above 130% → Strong momentum or abnormal volatility
The indicator is designed as a market regime filter rather than a directional signal generator. It helps traders adapt strategy selection based on current session conditions:
trend-following during expansion,
mean reversion during compression,
and risk reduction during abnormal volatility.
Key Features:
Adaptive intraday volatility comparison
Same-time historical session analysis
Automatic or manual session timing
User-defined lookback period
Relative movement normalization
Ranging and expansion regime detection
Instrument-independent behavior modeling
NIRI is especially effective for:
index futures,
forex,
crypto,
commodities,
and highly session-dependent markets where volatility behavior changes significantly throughout the trading day.
Created by Naji. Indicator
OMEGA ORGAN SYNC FORCE🧠 OMEGA ORGAN SYNC FORCE
OMEGA ORGAN SYNC FORCE is a multi-layer market synchronization engine designed to visualize market pressure, momentum flow, volatility behavior, and multi-timeframe directional propagation through a living “organ system” structure.
Instead of relying on a single indicator such as RSI, MACD, or moving averages alone, the engine combines several internal market components into one synchronized flow system.
The goal of the system is not only to detect direction, but to measure:
• how strongly the market is moving
• whether the movement is aligned across timeframes
• whether the market is in chaos or synchronization
• whether pressure is expanding or contracting
• whether momentum is propagating through higher timeframes
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🧬 ORGAN ENGINE
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The core structure is built around four primary “market organs”:
• Trend Organ
• Momentum Organ
• Volume Organ
• Volatility Organ
Each organ is normalized through Z-Score logic and synchronized into a unified market pressure stream called:
ORGAN FLOW
The system behaves like a living structure.
When all organs align in the same direction, synchronization increases.
When organs conflict with each other, chaos increases.
This creates a dynamic environment where the market can be interpreted not only through direction, but through internal behavioral quality.
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🌊 ORGAN FLOW
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The Organ Flow line represents the combined pressure of all internal organs.
This flow is additionally smoothed using EMA-based signal layering to create a more fluid and living visual movement instead of sharp mechanical reactions.
The result is a smoother “energy river” feeling rather than a standard oscillator appearance.
The visual philosophy is inspired by:
• wave propagation
• biological synchronization
• energy expansion
• market breathing behavior
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🚀 TIMEFRAME FORCE ENGINE
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One of the most important layers of the system is the Timeframe Force Engine.
The engine measures whether lower timeframe pressure is successfully propagating into higher timeframe structures.
This is not a traditional multi-timeframe filter.
Most systems only ask:
“Is the higher timeframe bullish?”
OMEGA ORGAN instead asks:
“Is momentum successfully carrying itself through time?”
The engine analyzes multiple timeframe layers simultaneously and measures:
• bullish propagation
• bearish propagation
• cascade alignment
• synchronization strength
When all selected timeframes align together, the system enters a:
BULL CASCADE
or
BEAR CASCADE
state.
This means directional energy is flowing through multiple market layers simultaneously.
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⚡ CHAOS ENGINE
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The Chaos Engine measures disagreement between internal organs.
High chaos means:
• unstable market structure
• conflicting pressure
• unpredictable behavior
• noisy conditions
Low chaos means:
• synchronization
• cleaner structure
• aligned momentum
• directional clarity
Chaos collapse zones are especially important because they often appear before major directional expansion.
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🫀 MARKET STATES
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Instead of displaying traditional numerical conditions only, the engine uses market states such as:
• TREND UP
• TREND DOWN
• RANGE
• CHAOS
• EXPANSION
• CONTRACTION
The goal is to transform raw calculations into readable market behavior.
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🎨 VISUAL PHILOSOPHY
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OMEGA ORGAN SYNC FORCE was designed not only as a calculation engine, but also as a visual market experience.
The indicator uses:
• glow layers
• aura effects
• soft transparency
• synchronized color logic
• premium panel design
• energy-flow visualization
to create a cinematic market interface.
The purpose is to make the market feel alive instead of static.
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🌐 MULTI LANGUAGE SUPPORT
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The indicator includes built-in language support.
Currently supported:
• English
• Turkish
The language system allows the panel and market states to adapt dynamically for international usage and future expansion.
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📊 PANEL SYSTEM
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The premium panel displays:
• Organ Flow Strength
• Timeframe Force
• Cascade State
• Chaos Level
• Market Direction
• Expansion / Contraction State
• Multi-Timeframe Alignment
• Organ Synchronization Quality
The panel is designed to function as a live market cockpit.
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🧠 CORE PHILOSOPHY
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Traditional indicators usually measure:
• one condition
• one formula
• one dimension
OMEGA ORGAN SYNC FORCE instead focuses on:
market synchronization.
The engine attempts to understand whether:
• pressure
• momentum
• volatility
• volume
• timeframe propagation
are behaving as one connected organism.
The system is not designed to predict the future.
It is designed to measure the quality, alignment, and behavioral structure of market movement.
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🇹🇷 TÜRKÇE AÇIKLAMA
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OMEGA ORGAN SYNC FORCE, piyasa baskısını, momentum akışını, volatilite davranışını ve zaman dilimleri arasındaki yön taşınmasını canlı bir “organ sistemi” mantığıyla analiz etmek için tasarlanmış çok katmanlı bir piyasa senkronizasyon motorudur.
Sistem:
• RSI
• MACD
• EMA
gibi tek boyutlu klasik indikatör mantığından farklı çalışır.
Amaç sadece yön bulmak değildir.
Amaç:
• hareketin gücünü
• zaman içinde taşınıp taşınmadığını
• organların uyumlu çalışıp çalışmadığını
• piyasanın kaos mu senkron mu olduğunu
• momentumun timeframe’ler arasında yayılıp yayılmadığını
ölçmektir.
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🧬 ORGAN SİSTEMİ
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Sistem dört temel market organından oluşur:
• Trend Organı
• Momentum Organı
• Hacim Organı
• Volatilite Organı
Bu organlar Z-Score normalizasyonuyla aynı ölçeğe getirilir ve birleşerek:
ORGAN FLOW
isimli ana akış motorunu oluşturur.
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🚀 TF İTKİ GÜCÜ
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Sistemin en önemli taraflarından biri:
Timeframe Force Engine
katmanıdır.
Bu yapı:
• alt timeframe baskısının
• üst timeframe’e taşınıp taşınmadığını
ölçer.
Yani sistem sadece:
“üst timeframe bullish mi?”
sorusunu sormaz.
Şunu sorar:
“momentum zaman boyunca taşınabiliyor mu?”
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⚡ CHAOS MOTORU
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Chaos Engine, organlar arasındaki uyumsuzluğu ölçer.
Yüksek kaos:
• kararsız yapı
• çelişkili baskı
• fake hareketler
• gürültülü piyasa
demektir.
Düşük kaos:
• uyum
• senkronizasyon
• temiz yön
• güçlü momentum
anlamına gelir.
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🎨 GÖRSEL FELSEFE
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Sistem sadece matematiksel değil, aynı zamanda görsel bir deneyim olarak tasarlanmıştır.
Bu yüzden:
• glow efektleri
• aura katmanları
• premium panel
• yumuşak geçişli renkler
• enerji akışı hissi
kullanılmıştır.
Amaç:
grafiği yaşayan bir organizma gibi hissettirmektir.
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🧠 ANA FELSEFE
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Çoğu indikatör:
• tek veri
• tek formül
• tek boyut
okur.
OMEGA ORGAN SYNC FORCE ise:
• baskı
• momentum
• volatilite
• hacim
• timeframe taşınması
gibi katmanların tek bir organizma gibi çalışıp çalışmadığını analiz etmeye çalışır.
Indicator
Adaptive Tail Risk MonitorAdaptive Tail Risk Monitor (ATRM)
What It Is
The Adaptive Tail Risk Monitor (ATRM) is a real-time statistical framework designed to map the changing architecture of asset return distributions. Most traditional indicators measure momentum, trend, or simple volatility. ATRM measures something deeper: the structural asymmetry and tail behavior of recent returns.
By calculating the 3rd moment (Skewness) and 4th moment (Kurtosis) of the return distribution and processing them through a rolling percentile framework, ATRM normalizes this advanced data against an asset’s own historical footprint. The result is a dynamic, self-calibrating view of market risk that automatically adapts to any financial instrument or timeframe.
Why It Was Built
Standard technical tools are largely blind to distributional shifts. A market can trend calmly while quietly accumulating statistical instability long before price confirmation becomes visually obvious. Hidden anomalies—such as fat tails, negative skew, and rising kurtosis—frequently precede major market regime transitions.
ATRM was built to surface these hidden conditions. By combining rolling central moment (skewness and kurtosis) estimation with adaptive percentile ranking, it converts abstract mathematical concepts into a highly interpretable visual dashboard. It tells you not just what the market is doing, but what kind of statistical regime you are operating in.
Core Concepts
🧠 Adaptive Percentile Framework
ATRM operates without static thresholds.
Instead, Skewness and Kurtosis are continuously evaluated relative to their own historical distributions using rolling percentile ranking.
This adaptive approach allows the framework to:
• Normalize behavior across asset classes
• Adapt across timeframes
• Remain responsive to structural market shifts
• Improve regime consistency
Key Takeaway:
Percentile levels represent relative statistical positioning unique to that specific asset’s history, rather than arbitrary fixed values.
1. Skewness — Asymmetric Return Conditions
Skewness is directional, measuring whether the return distribution is becoming positively or negatively imbalanced. It defines which side of the distribution carries the greater tail concentration.
Positive Skewness:
• Upside returns dominate
• Positive outliers become more frequent
• Bullish expansion conditions may be developing
Negative Skewness:
• Downside returns dominate
• Negative outliers increase
• Bearish asymmetry may be emerging
🟩 Skewness Color Mapping
The skewness line dynamically changes color according to its historical percentile state:
🟩 Extreme Positive Asymmetry: ≥ 90th percentile
🍏 Positive Asymmetry: 65th–90th percentile
⬜ Neutral Symmetry: 35th–65th percentile
🍎 Negative Asymmetry: 10th–35th percentile
🟥 Extreme Negative Asymmetry: < 10th percentile
2. Kurtosis — Extreme Return Conditions (Tail Risk)
Kurtosis measures the concentration and extremity of outliers (the thickness of the tails). Excess kurtosis is non-directional; it flags the probability of extreme price shocks regardless of sign. Elevated kurtosis tells you that the tails are getting fat, extreme returns are becoming more frequent, while Skewness provides the directional context.
High Kurtosis typically flags:
• Volatility expansion
• Large price movements
• Panic or euphoric phases
• Unstable regime transitions
Low Kurtosis reflects:
• Stable, balanced conditions
• Mean-reverting environments
• Limited tail expansion
🔵 Kurtosis Color Mapping
The kurtosis plot dynamically shifts color to indicate tail expansion intensity:
🔵 Extreme Expansion: ≥ 90th percentile
🔹 Elevated Expansion: 75th–90th percentile
⚪ Baseline Conditions: < 75th percentile
🖥️ Market Condition Framework
The indicator synthesizes both Skewness and Kurtosis states into a unified classification system, painting the chart background when critical structural transitions occur.
🟩 Bright Green — Positive Returns Dominant
Skewness ≥ 90th percentile & Kurtosis ≥ 90th percentile
🍏 Light Green — Positive Returns More Frequent
Skewness 65th–90th percentile & Kurtosis ≥ 75th percentile
🟦 Blue — Neutral Expansion
Skewness 35th–65th percentile & Kurtosis ≥ 75th percentile
🍎 Light Red — Negative Returns More Frequent
Skewness 10th–35th percentile & Kurtosis ≥ 75th percentile
🟥 Bright Red — Negative Returns Dominant
Skewness < 10th percentile & Kurtosis ≥ 90th percentile
⬛ Baseline Conditions
Kurtosis < 75th percentile
(Stable, low-dispersion environment)
This framework allows traders to quickly assess whether market conditions are becoming increasingly directional, increasingly unstable, or returning toward equilibrium.
🛠️ User Settings & Customization
Rolling Window
Controls the initial Skewness and Kurtosis estimation lookback.
• Shorter windows increase responsiveness
• Longer windows increase statistical stability
Minimum recommended: Intraday/Daily 63+, Weekly 52+, Monthly 36+.
Percentile Window
Sets the lookback for historical percentile ranking. For statistical integrity, this window must exceed the Rolling Window length for Skewness and Kurtosis.
Minimum recommended: Intraday/Daily 126+, Weekly 52+, Monthly 36+. Longer windows produce more stable percentile ranks
EMA Smoothing
Applies exponential smoothing to reduce noise on raw statistical estimates.
• 3–5 = higher responsiveness
• 8–13 = greater stability
Higher values improve stability but increase lag during regime transitions.
Display Style Flexibility
Users can independently switch display formats (Line, Columns, Histogram, or Area) for both Kurtosis and Skewness via the native PulseWire Style menu.
Visibility Controls & Legends
Fully customize or toggle:
• Percentile bands
• Background colors
• Legend tables
⚙️ Multi-Panel Configuration Note
For maximum clarity, consider loading ATRM twice as separate indicator panes:
• One configured to display only Skewness
• One configured to display only Kurtosis
⚠️ CRITICAL REQUIREMENT: When stacking multiple ATRM instances across separate panes, maintain identical Rolling Window lengths to keep percentile states synchronized.
Different lookback windows create independent historical distributions, which may lead to desynchronized percentile states and inconsistent regime classification between panels.
📈 Application Examples & Strategy Filters
1. ATRM + RSI — Filtering False Reversals
RSI is designed to identify overbought and oversold conditions but cannot evaluate whether the surrounding market environment supports stable mean reversion or continued directional expansion. ATRM fills that gap by providing distributional context around the signal.
The Oversold Trap — Avoiding False Reversals
The Setup
RSI overbought/oversold signals perform best during mean-reverting environments but often struggle during sustained trends or market dislocation phases. A common trap is buying a deeply oversold RSI reading during an aggressive market decline. The RSI signal looks like a reversal opportunity but the market continues lower.
The Filter
If RSI flashes an oversold signal while ATRM Skewness is firmly in its lower percentiles (< 35th percentile) and Kurtosis is elevated (> 75th percentile), the return distribution remains heavily negatively skewed with elevated tail expansion. Avoid mean-reversion longs in this environment. Wait for Skewness to recover toward the neutral zone before attempting reversal entries.
The Confirmed Reversal — High-Confidence Mean Reversion
The Setup
Following a period of market stress, RSI moves into oversold territory while distributional conditions begin to stabilize. The question is whether the signal reflects genuine mean-reversion potential or another false recovery.
The Filter
When Kurtosis is below the 75th percentile and Skewness is neutral, the market is operating in a more stable, symmetric environment where RSI reversal signals carry higher confidence.
2. ATRM + MACD — Confirming Breakouts & Avoiding Whipsaws
Standard indicators like RSI, MACD, or Moving Averages track trend and momentum but cannot detect the underlying shape of the return distribution. ATRM acts as a distributional condition filter—helping determine whether a strategy's signals are operating in a favorable or unstable statistical environment.
The Breakout Confirmation — Filtering False Crossovers
The Setup
MACD crossovers frequently generate false signals during choppy, low-conviction markets. Look for periods where Kurtosis is compressed near the bottom of its historical range, indicating a low-dispersion environment where crossover signals should be treated with skepticism.
The Filter
When a fresh MACD crossover occurs simultaneously with Kurtosis breaking upward through the 75th percentile, it confirms the return distribution is expanding to support a genuine directional move. The MACD provides the directional entry; ATRM confirms the structural conditions support it.
The Exhaustion Warning — Avoiding Late-Stage Exposure
The Setup
A bullish MACD crossover occurs after a prolonged advance, potentially pulling in late buyers near the late-stage extension point of a structural move.
The Filter
If the crossover occurs while Kurtosis is already above the 90th percentile and Skewness remains highly positive, the distribution is statistically stretched. Reduce position sizing or trail stops aggressively rather than initiating fresh exposure at that stage.
3. ATRM + Moving Average Crossovers — Filtering Trend Whipsaws
Moving average crossovers are designed to capture shifting trends but have no built-in mechanism to evaluate whether the market environment actually supports a sustained directional move. ATRM fills that gap by providing the distributional context the crossover itself cannot see.
The Squeeze and Launch — High-Probability Breakouts
The Setup
During sideways, range-bound markets, moving averages flatten and cross repeatedly in both directions, generating false signals. Look for periods where the averages are tangled while ATRM Kurtosis is flat near the bottom of its historical range — this is a compressed, low-dispersion environment where breakout signals should be treated with skepticism.
The Filter
Do not trade minor crossovers while Kurtosis remains compressed. Wait for the bar where a fresh MA crossover coincides with Kurtosis breaking upward through the 75th percentile. This indicates the return distribution is beginning to expand, which is consistent with a genuine directional move emerging from the consolidation. The crossover gives direction; ATRM confirms the distributional conditions have shifted to support it.
The Climax Trap — Avoiding Late-Stage Entries
The Setup
An asset enters a strong, sustained advance. A lagging moving average crossover finally triggers a bullish signal after price has already moved significantly, pulling in late trend-followers near the exhaustion point.
The Filter
If the crossover occurs while Kurtosis is already above the 90th percentile and Skewness is in the upper percentiles, the distribution is statistically extended. This does not guarantee reversal, but it indicates the market is in a high-dispersion, asymmetric state that is less favorable for new long entries. Use this condition to trail existing stops aggressively rather than initiating fresh positions.
The Dead Cat Bounce — Identifying False Recoveries
The Setup
Following a sharp decline, price bounces and shorter-term moving averages cross back to the upside, creating the appearance of a trend reversal. This pattern frequently traps traders who interpret the crossover as confirmation that the worst is over.
The Filter
If the bullish crossover occurs while ATRM Skewness remains below the 10th percentile, the return distribution is still heavily negatively skewed. The underlying conditions that drove the decline have not resolved. Treat the crossover as a potential continuation pattern rather than a confirmed reversal, and approach any long signal with significantly reduced conviction until skewness recovers toward the neutral zone.
📌Important note: ATRM is not a standalone entry/exit signal. Use it as a market condition filter layered over your existing strategy — tighten risk or reduce exposure when tail risk is accumulating, increase exposure when distributional conditions are favorable.
Disclaimer
ATRM is an analytical framework developed for educational and research purposes. It does not constitute financial or investment advice.
All trading involves substantial financial risk. Indicator
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