CPR propath📊 CPR (Central Pivot Range)
CPR is an intraday tool calculated from the previous day’s High, Low, and Close. It consists of TC, Pivot, and BC levels and helps identify market bias, range, and breakout potential.
Price above CPR → Bullish
Price below CPR → Bearish
Narrow CPR → High volatility
📉 Pivot Points
Pivot Points are classic support and resistance levels (P, S1–S3, R1–R3) derived from the previous session’s price. They are widely used for entries, targets, and stop-loss placement in intraday trading.
Above Pivot → Bullish
Below Pivot → Bearish
Indicadores e estratégias
Ghost Matrix [Bit2Billions]📌 Ghost Matrix — Institutional Market Structure Engine
Ghost Matrix is a closed-source market-structure intelligence system designed to analyze price swings, structure shifts, liquidity behavior, and trend pressure using one unified structural model.
Traditional market-structure analysis relies on multiple disconnected tools: swing indicators, BOS/CHoCH scripts, liquidity lines, zones, trend filters, and higher-timeframe overlays. When used separately, these tools frequently produce conflicting structure narratives and require extensive manual interpretation.
Ghost Matrix replaces this fragmented workflow with one synchronized price-structure framework where all components reference the same internal structure state.
📌 What Problem This Script Solves
Most traders experience these structure-related issues:
* Different swing indicators marking different highs/lows
* BOS/CHoCH appearing without consistent validation
* Liquidity levels drawn without structural confirmation
* Zones plotted without knowing whether structure supports continuation or reversal
* Trend tools that ignore structural shifts
* Difficulty maintaining higher-timeframe context
Ghost Matrix solves these problems by classifying price behavior into validated structural states, allowing traders to interpret price action as a continuous narrative, not isolated events.
📌 Reason for Mashup (Why Components Are Combined)
Ghost Matrix combines multiple market-structure components because structure, liquidity, trend, and zones cannot be evaluated independently.
Market swings define structure.
Structure defines valid liquidity.
Liquidity behavior defines continuation or failure.
Trend pressure must respond to structure, not override it.
This mashup is justified because:
* All modules reference the same validated swing and structure state
* No component generates output without structural confirmation
* Liquidity, zones, and trend pressure update only when structure changes
* The script produces one structural narrative, not multiple interpretations
The goal is not to merge structure tools, but to replace them with a single decision framework.
📌 How the Script Works (Operational Explanation)
Ghost Matrix operates through three dependent structure systems, executed sequentially:
### 1. Ghost Swing Engine (Structural Foundation)
Instead of fixed fractals or ZigZag logic, the script identifies swings using:
* Adaptive displacement relative to recent volatility
* Dynamic pivot qualification
* Fractal-strength scoring to filter weak swings
Only swings that meet strength criteria are accepted.
These swings form the only source of truth for all structure calculations.
### 2. Structural Mapping Engine (Validation Layer)
Using the validated swings, the script evaluates:
* Internal vs external structure
* Break of Structure (BOS) vs Change of Character (CHoCH)
* Strength or weakness of highs and lows
* Structural continuation vs structural failure
Structure is confirmed through multi-step validation, not single-candle breaks.
This prevents false BOS/CHoCH signals during low-quality price movement.
### 3. Adaptive Confluence Engine (Context Layer)
Once structure is confirmed, all contextual modules respond:
* Liquidity lines are drawn only from validated structure
* Demand and supply zones are placed where displacement, volume, and structure align
* Trend pressure adapts to structural direction, not moving-average crosses
* Targets and projections update only after structural confirmation
This ensures context follows structure, not the other way around.
📌 How Traders Use Ghost Matrix
Ghost Matrix is not an auto-signal system. It provides structural decision context.
A typical workflow:
1. Identify the active structure state
(trend continuation, transition, or failure)
2. Observe BOS / CHoCH in context
Structural breaks are interpreted relative to prior swing strength.
3. Evaluate liquidity interaction
Liquidity sweeps within structure suggest continuation; failure suggests reversal.
4. Use zones with structure alignment
Zones aligned with structure favor continuation; counter-structure zones suggest corrective reactions.
This allows traders to trade structure first, not indicators.
📌 Why This Script Is Different From Standard Structure Tools
Standard structure tools:
* Fixed fractals or ZigZag swings
* Single-candle BOS detection
* Liquidity lines drawn without validation
* Trend tools detached from structure
Ghost Matrix:
* Strength-qualified swing detection
* Multi-step structure validation
* Liquidity derived from structure
* Trend pressure responds to structure shifts
* Narrative continuity across timeframes
This makes Ghost Matrix a structure intelligence system, not a drawing tool.
📌 Why This Script Is Worth Paying For
Ghost Matrix provides paid value because it replaces multiple manual and automated tools with one closed-source system built on original structural integration logic.
It replaces:
* Manual swing marking
* Separate BOS / CHoCH scripts
* Standalone liquidity indicators
* Manual zone drawing
* Trend filters disconnected from structure
* Higher-timeframe overlays
The value lies not in individual concepts, but in how structure governs every output.
This level of consistency and automation cannot be achieved by combining public structure indicators, which is why Ghost Matrix is offered as an invite-only, closed-source script.
📌 What This Script Is NOT
For clarity:
* This is not a ZigZag or fractal script
* This is not a signal generator
* This is not a repainting structure tool
* This is not based on single-candle breaks
All calculations use confirmed past and real-time data only.
📌 Key Components & Intent
📌 Market Structure Module (ICT/SMC Integration)
Detects:
* BOS / CHOCH
* BMS / SMS
* Internal / external structure
* IDM
* Liquidity lines (LQDT / Dynamic LQDT)
* FVG, EQH, EQL
* Strong/weak swing points
Purpose: provide a complete reading of institutional structure transitions.
📌 Swing Visualization
Includes:
* Swing highs/lows
* Horizontal levels
* Connector lines
* Extension shadows
* Swing summary tables
Purpose: show turning points with clarity and narrative continuity.
📌 Demand & Supply Zone Engine
Zones consider:
* Momentum displacement
* Volume presence
* Swing strength
* Structural side (pro-trend vs. corrective)
Purpose: highlight zones institutional traders monitor.
📌 Adaptive Trend Model
Custom gradient-based MA system that reacts to:
* Volatility
* Momentum shifts
* Directional strength
Purpose: provide dynamic trend insight, not static MA interpretation.
📌 Ichimoku Regime State (Modified)
Includes:
* TK Cross
* Kijun Cross
* Chikou interactions
* Kumo breakouts + twists
Purpose: define regime shifts and trend environments.
📌 Aggregated Candles
Shows current timeframe aggregated candles up to 14.
📌 Dashboard
Shows:
* Swing direction
* CISD structure state
* Fractal alignment %
* Ichimoku events
* Consolidated signals
📌 Visual Design (Clutter-Free Standard)
* Only real-time labels appear; historical labels stay hidden for clarity.
* Consistent, structured line styles:
* Trendlines: solid green/red
* CHOCH: dashed red/green
* BOS: solid red/green
* LQDT/Dynamic: yellow dotted
* EQH/EQL: red/green dotted
* CISD & IDM: gray dotted
This color logic helps traders read structure quickly.
📌 Recommended Use
* Best on: 15m, 1H, 4H, Daily, Weekly
* Works across: crypto, forex, indices, liquid equities
* Pivot tools may show noise on illiquid markets
📌 Performance Notes
* Heavy modules can draw many objects → disable what you don’t need
* Refresh chart if historical buffer limits are reached
* All TV object limits are handled internally
📌 License
* proprietary script © 2025
* Independently developed logic and visualization system
* Redistribution, resale, sharing, or decompilation strictly prohibited
* Any similarity to public concepts is due to overlap with common trading methodologies
📌 Disclaimer
This tool is for educational and research purposes only.
Not financial advice.
Always test responsibly.
📌 FAQs
* Source is intentionally closed
* Alerts can be manually created
* Modules can be toggled
* Designed for multi-market, multi-timeframe workflow
📌 About Ghost Trading Suite
Author: BIT2BILLIONS
Project: Ghost Trading Suite © 2025
Indicators: Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow
Strategies: Ghost Robo, Ghost Robo Plus
Pine Version: V6
The Ghost Trading Suite is designed to simplify and automate many aspects of chart analysis. It helps traders identify market structure, divergences, support and resistance levels, and momentum efficiently, reducing manual charting time.
The suite includes several integrated tools — such as Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow, Ghost Robo, and Ghost Robo Plus — each combining analytical modules for enhanced clarity in trend direction, volatility, pivot detection, and momentum tracking.
Together, these tools form a cohesive framework that assists in visualizing market behavior, measuring momentum, detecting pivots, and analyzing price structure effectively.
This project focuses on providing adaptable and professional-grade tools that turn complex market data into clear, actionable insights for technical analysis.
Crafted with 💖 by BIT2BILLIONS for Traders. That's All Folks!
📌 Changelog
#v1.0 — Core Release
* Added Custom Heikin-Ashi Candles for dust-free, clutter-free charting.
* Introduced Price Line overlay for clean close-price visualization.
* Implemented Adaptive Moving Averages with smooth transitions and gradient coloring.
* Added Intelligent Swing Detection with horizontal lines, shadow extensions, connectors, labels, and summary tables.
* Introduced full Market Structure (ICT & SMC) Mapping including short-, mid-, and long-term structures, IDM, LQDT, Dynamic LQDT, CISD, FVGs, EQH, EQL, premium/discount zones, weak/strong highs and lows, and order blocks.
* Added Demand & Supply Zones with adaptive institutional detection, highlighted boxes, and auto-labeling.
* Integrated Targets (Pivot Systems) supporting Camarilla, Fibonacci, Woodie, and other pivot levels.
* Added Aggregated Candles combining real-time and historical data for multi-timeframe analysis.
* Added General Dashboard consolidating swing direction, CISD state, structure alignment, Ichimoku signals, and overall market overview.
* Included Trend Lines & Ichimoku Modules for enhanced visual market context.
M1 propath📊 M1 PROPATH – Smart Trend & Level Indicator
M1 PROPATH is a powerful all-in-one trading indicator designed for trend identification, momentum confirmation, and precise entry zones. It combines four proven tools into a single, easy-to-use system.
🔹 Included Components
🔁 Supertrend
Identifies overall market trend (Bullish / Bearish)
Helps traders stay on the right side of the market
Useful for trend-following and trailing stop logic
📈 Bollinger Bands (BB)
Measures volatility and price expansion
Highlights overbought and oversold zones
Helps in spotting pullbacks and breakout setups
📉 EMA Pack (Exponential Moving Averages)
Shows dynamic support and resistance
Confirms trend strength and momentum
Useful for scalping, intraday, and swing trading
🧭 Gann Levels (Square of 9 Based)
Displays important price levels derived from Gann theory
Helps identify high-probability reversal and reaction zones
Works perfectly with BB and Supertrend for confluence-based entries
D27 TREND COLORThis script shows the current trend based on average price. Its time independent, we can use it for intraday and swing trading.
eob Area - Body Closes Prev Extreme + Opposite ColorEob indicator identifies eob zone to trade
this eob zones used for trade scalping points
quick scalp and exit
Mark to MarketMark to Market
A price-referencing, settlement-aware, volatility-scaled risk framing overlay for valuation discipline and process consistency.
1) Purpose and operating premise
“Mark to Market” is intended as a measurement and reference layer rather than a directional signal engine. It organizes a chart around a set of time-based price references that can be helpful for:
maintaining consistent “marks” across time boundaries (day/week/month/year),
contextualizing price relative to time-weighted and volume-weighted baselines,
framing moves in volatility-scaled units (sigma ladders) for more standardized discussion.
This should be understood as a framework for structuring observation, not a claim of predictive power.
2) Reference architecture: a hierarchy of marks
The indicator builds a layered reference stack. Each layer corresponds to a different horizon and serves as a potential anchor for consistency in how price is discussed.
2.1 Previous Day: PDH/PDL
The previous day’s high and low are tracked from the completed daily period and carried forward. These references can be used to frame whether current trade is occurring inside or outside the prior day’s realized range, which some practitioners may find useful when assessing range expansion, acceptance, or mean-reverting behavior.
2.2 Weekly: PWH/PWL, Weekly Open, Weekly VWAP
Weekly references shift attention from the immediate session to the week-to-date context:
Prior week high/low as longer-horizon realized boundaries
Optional weekly open as a week-to-date reference
Weekly VWAP as a cumulative, volume-weighted benchmark for the ongoing week
The VWAP here is calculated directly from chart volume (cumulative price*volume / cumulative volume), so interpretation should be scaled to the reliability of the volume feed for the instrument being studied.
2.3 Monthly: PMH/PML, Monthly Open, Monthly VWAP
Monthly references can serve a similar function at a broader cadence, offering:
prior month high/low,
optional monthly open,
optional monthly VWAP.
These are not inherently “support/resistance” claims; they are period-defined reference values that may or may not matter depending on market conditions and the user’s approach.
2.4 Quarterly: Quarterly Open / Quarterly VWAP (optional)
Quarterly references are optional and may be useful for those who prefer longer-cycle anchors. Their relevance will vary by product and by the user’s time horizon.
2.5 Yearly: Yearly Open / Yearly VWAP
Yearly anchors can provide macro-context references. As with other VWAP-based measures, the extent to which this is meaningful depends on the underlying data quality and the user’s specific interpretation rules.
3) Display modes: Extend, Float, Lock
A design feature of the indicator is that references can be displayed with different persistence behaviors:
Extend: projects the level forward as an ongoing reference line.
Lock: plots the reference for a fixed one-hour window from its anchor timestamp, functioning more like a stamped mark than a permanent level.
Float: shows labels without extended lines, prioritizing visibility of the value over chart structure.
These modes are best viewed as presentation controls rather than analytical claims.
4) Settlement engine: cross-session reference marks and anchored VWAP bands
The settlement subsystem defines three time-based reference events (timezone-aware):
Japan at 01:30
London at 11:30
New York at 16:00
4.1 Settlement reference construction (exchange-referenced window)
For the New York settlement reference in particular, the indicator includes a short pre-settlement anchoring window (the 30 seconds preceding the timestamp) consistent with the methodology described in CME documentation. The goal is to approximate a stable, repeatable chart-based reference rather than relying on a single last print. (Users should consult the relevant CME documentation for the precise exchange definitions and any product-specific nuances.)
Where the anchoring window cannot be formed as intended from available data, the script falls back to a reasonable chart-derived value (for example, a close), which should be treated as an approximation.
4.2 Anchored VWAP from settlement (AVWAP)
Following each settlement event, the indicator can track an anchored VWAP forward from that mark. Conceptually, this provides a running, volume-weighted reference for post-settlement trade, which some users may find helpful when framing whether the market is trading above or below a recent marking point.
4.3 Dispersion bands around AVWAP (σ1, σ2)
Optional bands are computed as rolling standard deviation around the anchored VWAP, using volume-weighted variance. These bands are best interpreted as descriptive dispersion envelopes around the post-mark distribution, not as guaranteed reversal zones or probabilistic promises.
5) Volatility-index sigma framing: VIX vs VXN as instrument-aware scaling
The volatility module ties the New York settlement reference to an expected daily move derived from a volatility index reading. Two indices are supported:
VIX as a volatility proxy commonly associated with the S&P 500 complex
VXN as a volatility proxy commonly associated with the Nasdaq-100 complex
The calculation converts annualized implied volatility into a daily volatility estimate (via √252) and maps that into price units from the settlement reference, producing a symmetric ladder:
±0.25σ, ±0.5σ, ±0.75σ, ±1σ, ±1.25σ, ±1.5σ, ±2σ
This ladder can be treated as a standardized ruler for discussing the day’s price excursion relative to an implied-volatility-derived scale. It should not be interpreted as a statement that price “should” stop at these levels.
5.1 Short historical persistence (last 5 days)
The indicator maintains up to five days of historical sigma ladders (New York settlement-based). This can support quick comparison of how the implied envelope changes day-to-day, though usefulness depends on how the user contextualizes regime changes, event risk, and volatility term structure.
6) Practical interpretation (without overclaiming)
Common ways this framework can be used, depending on user preference:
Marking consistency: keeping period boundaries and key marks visible so the same references are used throughout a session and in later review.
Benchmarking: comparing current price to weekly/monthly/yearly VWAPs as descriptive baselines.
Risk framing: describing excursions in sigma terms (implied) and in dispersion terms (realized around AVWAP) to reduce purely qualitative language.
Post-session review: replaying a day with consistent anchors to evaluate how decisions related to the day’s marks and volatility context.
None of these uses imply that the tool is “correct” in any absolute sense. They describe potential workflows users may adopt.
7) Constraints and dependency notes
Data quality dependency: VWAP/AVWAP and dispersion calculations inherit the quality of the platform’s volume and price data. Instruments with synthetic, partial, or irregular volume should be handled carefully.
Exchange vs chart methodology: where official settlement is relevant, exchange-published definitions should be treated as authoritative. This tool aims to provide an exchange-referenced approximation where feasible within chart constraints.
Not a guarantee: sigma ladders and bands provide scaling and description; they do not guarantee containment, reversal, or specific probabilities.
8) Summary
“Mark to Market” is best understood as a reference infrastructure:
time-based completed-period highs/lows,
optional opens and rolling VWAPs across multiple horizons,
settlement-time reference marks across major sessions, with an exchange-referenced pre-settlement anchoring window,
anchored VWAP and dispersion bands as descriptive post-mark measures,
VIX/VXN-based sigma ladders as implied-volatility-scaled rulers.
Its main value is in encouraging a repeatable, auditable set of references for observation and review, while leaving interpretation and decision-making to the user’s own process.
Important notice and scope
This tool is provided for informational and analytical visualization only. It is not financial, investment, legal, tax, or accounting advice, and it should not be treated as a recommendation to buy, sell, or hold any instrument. Outputs are dependent on chart settings, symbol data, and platform data quality. Any interpretations drawn from these references should be evaluated within the user’s own methodology, constraints, and risk controls.
Where this tool references “settlement,” the intent is to provide repeatable chart-based reference points that can be used for review and framing. For products where official settlement methodology applies, users should defer to the relevant exchange documentation and their own operational definitions.
Disclaimer: This tool is provided solely for informational, educational, and visualization purposes. It does not constitute financial, investment, legal, tax, or accounting advice, and it should not be relied upon as a basis for any trading, investment, or risk management decisions. All references, calculations, and visualizations are derived from chart data and platform-provided feeds, may be incomplete or approximate, and may differ from official exchange or broker methodologies. No representation is made regarding the accuracy, completeness, or suitability of any output for any particular purpose. Use of this tool is entirely at your own risk, and any decisions made based on its output are the sole responsibility of the user.
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Fixed Zone Flow (ABO SALTAN)//@version=5
indicator("Fixed Zone Flow (ABO SALTAN)", overlay=false)
// ===== INPUTS =====
lenFast = input.int(10, "Fast Length")
lenSlow = input.int(21, "Slow Length")
signal = input.int(4, "Signal Smooth")
buyLevel = input.int(-60, "BUY Level (Fixed)")
sellLevel = input.int(60, "SELL Level (Fixed)")
// ===== CORE =====
price = hlc3
basis = ta.ema(price, lenFast)
dev = ta.ema(math.abs(price - basis), lenFast)
ci = (price - basis) / (0.015 * dev)
fzf = ta.ema(ci, lenSlow)
sig = ta.sma(fzf, signal)
// ===== FIXED BUY / SELL =====
fixedBuy = ta.crossover(fzf, buyLevel)
fixedSell = ta.crossunder(fzf, sellLevel)
// ===== PLOTS =====
plot(fzf, title="FZF", color=color.aqua, linewidth=2)
plot(sig, title="Signal", color=color.orange)
hline(buyLevel, "FIXED BUY", color=color.green, linestyle=hline.style_dashed)
hline(sellLevel, "FIXED SELL", color=color.red, linestyle=hline.style_dashed)
hline(0, "Zero", color=color.gray)
// ===== SIGNAL MARKERS =====
plotshape(fixedBuy, title="BUY",
style=shape.labelup,
location=location.bottom,
color=color.lime,
text="BUY",
textcolor=color.black)
plotshape(fixedSell, title="SELL",
style=shape.labeldown,
location=location.top,
color=color.red,
text="SELL",
textcolor=color.white)
Fixed Price Levels with Zones (1000 / 750 / 500 / 250)idywbdiawunadnaw oidnawidnawodnaw wadaw dawd awdaw
ADX Momentum Breakout & Trend State FilterOverview
Successful trend trading requires two things: Trend Direction and Momentum Strength. Most traders fail because they enter "trends" when the market is actually sideways (choppy).
This indicator solves that problem by categorizing the market into three clear states: Bullish Trend, Bearish Trend, and No-Trade (Consolidation). It uses the Average Directional Index (ADX) to measure strength and Exponential Moving Averages (EMA) to filter direction.
How it Works
1. The ADX Breakout (Lime Green Dot)
The core of this strategy is the "Momentum Activation" point. A Lime Green Dot appears on the ADX line specifically when the ADX crosses from below the threshold (default: 25) to above it. This marks the exact moment the market transitions from a range into a high-momentum state.
2. Trend States & Candle Coloring
The indicator automatically colors your chart candles and the internal MA Band to keep you on the right side of the trade:
Green: ADX is strong (>25) and +DI is above -DI (Bullish).
Red: ADX is strong (>25) and -DI is above +DI (Bearish).
Gray: ADX is weak (<25). This is the "No-Trade Zone" where most trend-following strategies lose money.
3. Peak Connections & Trendlines
The script identifies ADX Pivot Highs (White dots) and connects them with trendlines. This helps you visualize whether trend momentum is accelerating or if we are seeing a "momentum divergence" where the trend continues but strength is fading.
Features at a Glance
Momentum Breakout Trigger: Precision dot showing the start of momentum.
MA Trend Band: A visual guide at the bottom showing the 12/50 EMA relationship.
Real-time Dashboard: A status table showing Market State, ADX Power, and EMA Trend direction instantly.
Clean Visuals: ADX Cloud and DMI columns provided for deep analysis of buyer/seller strength.
Usage Tips
Entry: Look for the Lime Green Dot as a signal that the "squeeze" is over and a trend is starting.
Direction: Ensure the EMA Trend in the dashboard matches your trade direction (UP for Buys, DOWN for Sells).
Exit: Use the peak trendlines to monitor strength. If ADX peaks are getting lower while price is making new highs, a reversal may be near.
ADX Momentum Breakout & Trend State FilterOverview
Successful trend trading requires two things: Trend Direction and Momentum Strength. Most traders fail because they enter "trends" when the market is actually sideways (choppy).
This indicator solves that problem by categorizing the market into three clear states: Bullish Trend, Bearish Trend, and No-Trade (Consolidation). It uses the Average Directional Index (ADX) to measure strength and Exponential Moving Averages (EMA) to filter direction.
How it Works
1. The ADX Breakout (Lime Green Dot)
The core of this strategy is the "Momentum Activation" point. A Lime Green Dot appears on the ADX line specifically when the ADX crosses from below the threshold (default: 25) to above it. This marks the exact moment the market transitions from a range into a high-momentum state.
2. Trend States & Candle Coloring
The indicator automatically colors your chart candles and the internal MA Band to keep you on the right side of the trade:
Green: ADX is strong (>25) and +DI is above -DI (Bullish).
Red: ADX is strong (>25) and -DI is above +DI (Bearish).
Gray: ADX is weak (<25). This is the "No-Trade Zone" where most trend-following strategies lose money.
3. Peak Connections & Trendlines
The script identifies ADX Pivot Highs (White dots) and connects them with trendlines. This helps you visualize whether trend momentum is accelerating or if we are seeing a "momentum divergence" where the trend continues but strength is fading.
Features at a Glance
Momentum Breakout Trigger: Precision dot showing the start of momentum.
MA Trend Band: A visual guide at the bottom showing the 12/50 EMA relationship.
Real-time Dashboard: A status table showing Market State, ADX Power, and EMA Trend direction instantly.
Clean Visuals: ADX Cloud and DMI columns provided for deep analysis of buyer/seller strength.
Usage Tips
Entry: Look for the Lime Green Dot as a signal that the "squeeze" is over and a trend is starting.
Direction: Ensure the EMA Trend in the dashboard matches your trade direction (UP for Buys, DOWN for Sells).
Exit: Use the peak trendlines to monitor strength. If ADX peaks are getting lower while price is making new highs, a reversal may be near.
Weekly Market StructureWeekly Market Structure – HTF
1. Overview
Weekly Market Structure – HTF is an HTF-focused analytical indicator that visualizes weekly (Weekly) market structure and trade distribution (Volume / Footprint) using a virtual candle structure.
This indicator is not a buy/sell signal tool.
It is designed to help traders understand the current market context and, when combined with their own trading style, determine which directional bias is more favorable.
In other words, it is a context- and directional-analysis tool, intended to answer:
“What is the broader market environment right now, and which direction has the structural advantage?”
It focuses on structure and context, not execution signals.
2. Object (Display Method)
This indicator does not directly modify the actual chart candles.
To minimise clutter on the chart,
all information is displayed to the right of the candle in the form of a virtual candle.
(1) Virtual Candle
The weekly chart displays only the virtual candles for the current week and the previous week.
The daily chart displays only the daily, current week, and previous week's virtual candles.
Weekly market structure analysis must be verified on the weekly chart. Additional triggers occur exclusively within the weekly timeframe.
The highs and lows of the virtual candles correspond to the actual candle prices.
Therefore, price levels such as POC, VAH, and VAL can be directly referenced based on the virtual candles.
Price level lines such as POC are displayed as solid lines for the previous week and dotted lines for the current week.
(2) Week Footprint (POC / VAH / VAL)
Utilising Footprint data provided by TradingView,
the next levels based on weekly candles are automatically calculated and displayed.
POC (Point of Control)
VAH (Value Area High)
VAL (Value Area Low)
Both the previous week's (LW) and current week's (W) POC / VAH / VAL are displayed.
We judged it important to reference not only this week's levels but also the previous week's POC / VAH / VAL.
(3) Delta Score
The Delta value of Footprint data is
normalised and displayed within the range 1 to 100.
An intuitive scoring system is adopted instead of listing large numbers.
Positive Delta → Lime color
Negative Delta → Red color
Display format: D 1 to 100
Interpretation point examples
Weekly bearish candle + positive Delta
→ Declining but buy market orders dominate
→ Potential for upward movement / Acceptance possibility
Weekly bullish candle + negative Delta
→ Rising but sell market orders dominate
→ Distribution / Exhaustion possibility
(4) Volume Row (Price-Level Volume Concentration)
Each candle consists of multiple price rows.
This indicator divides the weekly candle's high–low range into the number of rows specified by the user. Since the concentrated sections remain identical regardless, using a custom value makes little difference.
Each row accumulates the lower timeframe (LTF) trading volume,
visualising the concentration of trading activity per price level as a gauge (bar).
It is recommended to view this on the weekly candle.
While it can be observed on lower timeframes, as the data is based on the weekly candle,
the frequency of row volume decreases as the timeframe becomes lower.
Reason
Weekly basis: Approximately 7 days' worth of data accumulated on a 1-hour LTF basis
Daily basis: 1 day's worth of data on a 1-hour LTF basis
Nevertheless, the maximum trading range (core levels) remains sufficiently valuable for reference even in lower timeframes.
Features
Highlighting of maximum trading range (green)
Ability to grasp relative volume distribution
Support for % display option (default OFF)
Interpretation Point Examples
Current Price
Positioned above the high volume gauge zone
→ Relatively high probability of upward movement
When breaking down from above the abundant zone or already positioned below
→ Reduced probability of upward movement, increased probability of downward movement
When the gauge is empty or within the scarce zone
→ Low liquidity
→ Zone of increased volatility
*For reference, last week's candle volume row is absent. (It appears messy.)
3. Who is it suitable for?
Traders who prioritize higher timeframe (HTF) structure
Traders who trade using a top-down approach from HTF to lower timeframe (LTF)
Traders who want to view both the weekly candle's directional bias and the area of concentrated trading activity
4. Final Notes
(1) This indicator is an analytical tool and does not provide buy or sell signals.
(2) All data, excluding the volume row, utilises TradingView's footprint data.
The volume row is based on cumulative volume data from lower timeframes.
(3) This tool has various potential applications depending on the user's approach, beyond the usage methods I have described.
This tool is not designed for a fixed analytical approach but to complement the user's existing trading style. Its usefulness may vary depending on the trader's level of experience.
(4) When applying replays, due to the code's characteristics, the object will only display if the forward button is pressed immediately after jumping to a past point.
(5) When the trend is extremely strong, analysis should be based on the trend direction. Nothing can beat the trend. Conduct analysis based on trend following.
(Do not seek support lines during the collapse phase after a distribution structure is complete)
(Do not attempt short positions at resistance lines during the primary ascent phase after an accumulation structure is complete)
(6) Indicator settings only include visual options such as object activation. Remove unnecessary objects according to your purpose.
Act Algo
Life's Lessons
What's done is done, what's gone is gone.
One of the best life's lessons is learning how to let go and move on.
It's okay to look back at your memories
but never let the past stop you from moving forward.
Forex Hammer & Shooting Star ALERTSshooting STAR, Just leave me alone already i dont want to have to do this
HoneG_CCIv18HoneG_CCIv18
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。1分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
VIP ALERTS - Volume Profiles SuiteThe Volume Profile + Supply/Demand Zone + MA Suite + Fibonacci + Buy/Sell Alert indicator (often seen in advanced TradingView setups or custom "all-in-one" professional suites) is a powerful confluence-based trading tool designed for price action, institutional/Smart Money, and confluence traders.
It brings together five of the most respected technical analysis concepts into one unified dashboard, helping traders identify high-probability zones and receive objective entry/exit signals.
Core Components of the Indicator
Volume Profile (The Foundation of Value & Liquidity)
Displays horizontal histogram showing volume traded at each price level
Highlights critical levels:
POC (Point of Control) → price with maximum traded volume
VAH / VAL (Value Area High/Low) → ~70% of volume zone
HVN (High Volume Nodes) → strong acceptance/support/resistance
LVN (Low Volume Nodes) → potential breakout/acceleration zones
Acts as the "truth layer" — price tends to respect or react strongly when it meets significant volume history.
Supply & Demand Zones (Institutional Order Blocks / Liquidity Pools)
Automatically detects and draws fresh/untested zones where aggressive buying (Demand) or selling (Supply) previously occurred
Usually color-coded:
Green/Blue zones → Demand (potential buying interest)
Red/Purple zones → Supply (potential selling pressure)
Many versions include mitigation/partial fill logic + aging (fading strength of old zones)
MA Suite (Multi-Timeframe Moving Averages)
Collection of dynamic trend filters & dynamic S/R:
Common combinations: 9/21/50/200 EMA • 20/50/100/200 SMA • VWAP
Often includes EMA clouds, ribbon, or trend coloring
Purpose: determine overall bias (bullish above key MAs / bearish below) + dynamic pullback zones
Fibonacci Tools (Golden Ratio Mathematics)
Auto or anchored retracement + extension levels
Most watched zones:
0.618 – 0.65 ("Golden Pocket") → highest probability reversal area
0.786 → deep pullback / last chance area
1.272 / 1.618 / 2.618 → common extension targets
Frequently overlaps with Volume Profile nodes and Supply/Demand zones → very strong confluence
Buy/Sell Alert System (Signal Engine)
Generates visual + sound + popup + email/webhook alerts when multiple conditions align
Typical trigger logic examples:
Price enters strong Demand zone + touches 0.618–0.786 Fib + above key EMA + bounces off HVN
Break & retest of POC/VAH with momentum candle
Rejection at Supply zone near 1.618 extension
Many versions allow customizable confluence requirements (e.g. need 3/5 conditions met)
Key Opens & LevelsThis indicator plots key market reference levels used by active traders, including:
- Previous day high, previous day low, and previous day equilibrium
- Higher-timeframe opens (daily, weekly, monthly)
- Custom intraday opening prices (e.g. 06:00, 8:30, 9:30, 10:00, etc)
All levels are session-aware, candle-anchored, and non-repainting, designed to stay aligned with real market structure across timeframes.
📈 Available Opens and Levels
PDH / PDL / PD-EQ
- PDH/PDL aren’t placed at the midnight candle or the daily bar open. They’re anchored to the actual intraday candle that made the previous day’s high or low.
- Choose when your daily open starts: it can be 15:00 for forex, 18:00 for futures, midnight for ICT traders, etc.
Higher-Timeframe Opens (D / W / M)
- Daily Open
- Weekly Open
- Monthly Open
Custom Intraday Opening Prices (Up to 6)
Plot up to six customizable intraday opens, such as 6:00, 08:30, 09:30, etc.
🔥 Features
Dynamic Line Extension
All levels extend only as far as price prints, keeping the chart clean and context-aware.
Unified Styling & Clean UI
- Shared style and width controls where appropriate
- Inline inputs for fast configuration
- Label offset and font size controlled globally for consistency
⚙️ Inputs Overview
SETTINGS (Global)
Label Offset (bars to the right)
Label Font Size
PDH / PDL / PD-EQ
Show / Hide Levels
Show / Hide Labels
Daily Session Open
Line Style & Width
Individual colors for PDH, PDL, and PD-EQ
D / W / M Opens
Toggle Daily / Weekly / Monthly opens
Individual colors
Shared line style & width
Intraday Opens
Up to 6 custom opening times
Custom label text (defaults to time)
Individual colors per opening
Shared line style & width
🛡️ Non-Repainting
The indicator does not repaint.
Levels are locked in once the new session begins.
Gold 2-Week Futures LevelsYou may change the color at bottom of script and i used 1h to mark out my levels, you may change it to fit your time frame.
PACCO - LEVELSGEX - USMARKETv2📊 PACCO – LEVELSGEX – USMARKETv2
Institutional Gamma, Delta, Theta & Vega Market Map
PACCO – LEVELSGEX – USMARKETv2 is an advanced options-based institutional market structure indicator, designed to identify critical price levels, reaction zones, and market regimes using Gamma Exposure (GEX), Open Interest (OI), order flow, volatility, and options Greeks dynamics.
It converts raw CSV options data into a clean, highly visual market map, supporting decision-making across US indices, equities, and futures.
🔹 Core Structural Levels (Net & OI)
The indicator automatically plots institutional reference levels, including:
ZGL (Gamma Flip / Gamma Level)
GEX+ / GEX- (Positive & Negative Gamma Exposure)
Institutional Support & Selling Pressure
Attraction, Compression & Gamma Tail zones
Level Confluence & Max Pain
Vol50 / Vol95 statistical deviations
Custom user-defined levels (AG1–AG4)
Overlapping levels are automatically merged, reducing chart noise and highlighting high-probability reaction areas.
🎯 ZGL Dynamic Bands
The ZGL acts as the market’s structural axis.
Band Mode: dynamic zone above and below ZGL
Full Panel Mode: entire background reacts to price relative to ZGL
Band width configurable by percentage
Adjustable transparency for clean visual reading
This makes it easy to identify balance, imbalance, and regime shifts.
📐 Advanced Greeks Zones
Δ Delta
Neutral Delta Band
Long Delta Zone
Short Delta Zone
Delta Convergence Clusters
Θ Theta (Charm)
Neutral Decay Band
Positive & Negative Charm Zones
Theta Convergence Clusters
V Vega
Neutral Vega Band
Long & Short Vega Zones
Vega Convergence Clusters
These zones help anticipate acceleration, absorption, or deceleration driven by options positioning.
📊 Market Regime Classification Panel
The indicator automatically evaluates:
GEX Ratio
Flow Ratio
IV Ratio
Based on these metrics, it defines:
🔹 Market Direction
Sustained Uptrend
Clean Range
Squeeze Conditions
Absorbed Pullbacks
Downtrend / Sell-off
🔹 Risk Level
Low
Moderate
High
Displayed in a top-right corner regime panel or an optional floating label inside the chart.
🧠 Professional Color & Symbol Logic
Green → bullish bias / institutional support
Red → bearish pressure / elevated risk
Orange → neutral, compression, or transition zones
Directional symbols (↑ ↓ ≈) allow instant ratio interpretation, ideal for intraday trading.
⚙️ Full Customization
Line thickness
Label font size
Optional explanatory text
Custom or automatic color schemes
ZGL source selection (Net or OI)
📌 Who This Indicator Is For
✔ US index traders (SPX, NQ, ES, RTY)
✔ Day traders, scalpers, and swing traders
✔ Institutional and options-based market readers
✔ Traders seeking context, not signals
📈 Summary
PACCO – LEVELSGEX – USMARKETv2 is not an entry-signal tool.
It is a professional market structure and risk-context framework, revealing where price is likely to react, stall, accelerate, or reverse, based on real options positioning.
Less noise. More structure. Institutional context for better decisions.
If you want, I can also deliver:
a short store description
a high-impact marketing version
a technical documentation version
or a comparison vs traditional indicators
MACD 12-26-9 with Slope, Convergence & Divergence1. Core Indicator: MACD (12-26-9)
The script uses the standard MACD:
Fast EMA: 12
Slow EMA: 26
Signal EMA: 9
It plots:
MACD Line → short-term vs long-term momentum
Signal Line → smoothed MACD
Histogram → distance between MACD and Signal
2. Histogram Slope (Momentum Acceleration)
What it is
The slope measures how fast the MACD histogram is changing.
histSlope = hist - hist
What it tells you
Positive slope → momentum accelerating
Negative slope → momentum slowing
Slope flip → early momentum shift (often before MACD cross)
Why it matters
MACD crosses are lagging.
Histogram slope gives early warning of momentum changes.
3. Convergence & Divergence (MACD vs Signal)
How it’s calculated
The script measures the distance between the MACD and Signal lines:
distance = abs(macdLine - signalLine)
Convergence → distance is shrinking
Divergence → distance is expanding
Interpretation
Convergence = compression / energy building
Divergence = expansion / trend strength or exhaustion
This is not price divergence, but internal momentum structure.
4. MACD Perimeter Threshold (Momentum Filter)
What it is
Horizontal bands above and below zero that define a “noise zone”.
Inside perimeter → weak / choppy momentum
Outside perimeter → strong momentum
Why it’s useful
Filters low-quality MACD crosses
Identifies compression → expansion
Helps spot trend exhaustion when momentum fades outside the band
5. Visual Encoding (What you see)
Histogram colors
Bright green / red → strong acceleration
Dull green / maroon → weakening momentum
Gray → indecision
MACD line color
Yellow → converging (compression)
Orange → diverging (expansion)
Blue → neutral
Markers
Up triangle → bullish convergence
Down triangle → bearish divergence
6. How traders use this indicator
Trend continuation
MACD above zero
Histogram positive
Slope rising
Divergence expanding
➡ Strong trend continuation
Pullback entries
Trend intact
Histogram pulls back toward zero
Slope turns up again
➡ High-probability re-entry
Breakout anticipation
Long convergence
Histogram flattening
Sudden slope expansion
➡ Breakout likely
Exhaustion warning
Large divergence
Histogram slope weakens
Momentum fails to expand
➡ Trend may stall or reverse
7. Best use cases
Works best as a momentum confirmation tool
Combine with:
Market structure
Support / resistance
Moving averages
Volume or Force Index
Order Blocks & S/R [GILDEX]GILDEX – Order Block & Support / Resistance Indicator
This indicator is developed by GILDEX, combining Order Blocks with Support & Resistance to identify high-probability trading zones.
Key Features
• Blue Order Blocks: Potential BUY zones
• Red Order Blocks: Potential SELL zones
• Cyan lines: Support levels
• Red lines: Resistance levels
Order Blocks highlight areas where strong institutional buying or selling previously occurred.
Support and Resistance are used to refine entries within the Order Block for improved precision and risk control.
Designed mainly for intraday trading, especially on the 5-minute timeframe, where most Order Blocks range between 30–50 pips.
Layered (scaled) entries are recommended, as price may react at the edge of the Order Block or deeper inside the zone.
This indicator focuses on market structure and price reaction, not prediction.






















