Visible Range / POC / Volume / SNR Detector PROVisible Range POC & Volume SNR Detector PRO
Visible Range POC & Volume SNR Detector PRO is a professional-grade volume-based market structure tool designed to identify institutional Support & Resistance zones, Point of Control (POC), and Value Areas directly from the visible chart range.
This indicator goes beyond traditional swing highs and lows by analyzing real traded volume, revealing where large players are active, where price finds fair value, and where high-probability reactions are most likely to occur.
🔍 Core Features
📊 Visible Range Volume Profile
🔹Builds a full Volume Profile using only the visible chart range
🔹Splits price into configurable precision bins for maximum accuracy
🔹Detects true volume clusters instead of subjective price levels
🎯 Point of Control (POC)
🔹 Automatically identifies the highest-volume price level
🔹Acts as a magnet price where market participants agree on value
🔹Fully customizable line style, width, and color
🔹 Optional label with timeframe + price + volume (K / M / B)
📦 Value Area (VAH / VAL)
* Calculates Value Area High & Low around the POC
* Default **70% volume range** (institutional standard)
* Optional Value Area fill for clear fair-value visualization
* Helps distinguish **range conditions vs trending moves**
🧱 Volume-Based Support & Resistance Zones
🔹Automatically detects high-impact S&R zones from volume behavior
🔹Zones are visually classified by strength:
🔹 🟢 Strong
🔹 🟡 Medium
🔹 🔴 Weak
🔹Clean box rendering with customizable borders:
🔹 Solid / Dashed / Dotted
🔹 Zones extend dynamically into the future for planning trades
🔄 Dynamic Flip Logic (PRO Standard)
🔹 Advanced Dynamic Flip system:
🔹 Support ➜ Resistance after a breakdown
🔹Resistance ➜ Support after a breakout
🔹 Reflects real market structure shifts
🔹Eliminates outdated static levels
🔁 True Retest & Zone Intelligence
🔹Each zone includes detailed contextual data:
🔹🔄 True Retest Count (price leaves zone and comes back)
🔹⏳ Zone Age (minutes / hours / days)
🔹💪 Strength Classification
🔹🔁 Flip Status
🔹⏱️ Timeframe
🔹💲 Exact price level
🔹All information is displayed in a single clean label.
🔔 Smart Alerts System
🔹Never miss key interactions:
🔹🟢 Touch Alert — price enters a zone
🔹⬇️⬆️ Break Alert — zone failure or breakout
🔹🔄 Retest Alert — classic break & retest setup
Alerts trigger on confirmed bars to reduce noise and false signals.
📋 Professional Dashboard
🔹At-a-glance market overview:
🔹Total Support & Resistance zones
🔹🎯 POC level
🔹📦 VA High / VA Low
🔹💪 Strong / Medium / Weak zone distribution
🔹📍 Nearest Support & Resistance
🔹📏 Distance to key levels
🔹 🎨 Auto / Dark / Light theme support
🔹 📐 Adjustable size & position
تحليل الاتجاه
Smart Money Concepts [Kodexius]Smart Money Concepts is a price action framework designed to integrate market structure, liquidity behavior, and inefficiencies into a single, readable view. Rather than acting as a signal generator, it serves as a live market map highlighting where price has displaced, where liquidity may be resting, which zones remain valid, and how that context updates as new candles print.
What separates this script from typical “SMC bundles” is not the presence of familiar concepts like swings, order blocks, FVGs or liquidity sweeps. The value is in the engine design and how the components are maintained together as a consistent state, with automatic pruning and prioritization so the chart stays usable over time. Many tools can draw boxes, but fewer tools manage the lifecycle of those zones, reduce overlap, rank relevance, and keep the display focused on what still matters near current price.
At the core is a structure model that tracks directional state and labels structural transitions as they happen. CHoCH and BoS are not just printed whenever price crosses a line. Each event is anchored to a swing reference and handled in a way that reduces repeated triggers from the same context, helping you see genuine transitions versus minor noise. This gives structure a “narrative” across time instead of a cluttered sequence of identical labels.
Order blocks are built from the most relevant candle within the post break window and displayed as true zones that extend forward while they remain valid. Beyond the zone itself, the script adds context that is usually missing in basic OB implementations: a volumetric pressure visualization and a displacement strength score that is normalized and ranked over a rolling window. In practice, this creates an information hierarchy. You can quickly see which zones carried more participation, whether the internal push was dominated by buying or selling pressure, and whether the move that created the zone had meaningful displacement relative to recent history. This is designed to help prioritization, not to claim prediction.
Imbalances are handled as a dedicated module with multiple detection modes (FVG, VI, OG, IFVG) and optional MTF logic so you can map inefficiencies from a higher timeframe while executing on a lower timeframe. Each imbalance is displayed as a zone with a midline reference, and mitigation behavior can be tuned (wick or close). IFVG adds lifecycle depth by tracking inversion behavior rather than simply deleting the zone, which can be useful for monitoring how price rebalances and flips inefficiencies over time. An optional sentiment style internal fill is available for visual context, but it is intentionally framed as informational rather than a “buy/sell meter.”
Liquidity is treated as an event driven layer. Pivot highs and lows are tracked as potential liquidity pools, then monitored for sweeps and rejection behavior. If you enable EQH/EQL logic, the script can label equal highs and lows during the sweep process to highlight common resting liquidity formations. A volume filter is available to reduce low quality levels, aiming to keep the liquidity map focused on swings that occurred with meaningful participation rather than every small fluctuation.
Swing Failure Patterns (SFP) are included as a separate confirmation style tool that focuses on rejection after liquidity is taken. The module supports optional volume validation using lower timeframe volume distribution outside the swing level, which helps filter some low quality SFPs on noisy instruments. The output is a cleaner set of events intended to complement structure, liquidity and zones, not replace discretionary decision making.
For higher timeframe context, the HTF candle projection panel can display a compact set of higher timeframe candles to the right of current price, with classic or Heikin Ashi style and configurable sizing, spacing and labels. This allows you to maintain HTF awareness without switching charts, which is especially helpful when structure and zones are being interpreted across multiple timeframes.
Finally, the alert framework is designed around well defined structural and zone states. Alerts cover structural shifts (CHoCH, BoS), liquidity sweeps, new and broken order blocks, breaker behavior (if enabled), new and approached imbalances, premium and discount entries, trendline events, and SFP detection. These alerts are intended as monitoring prompts so you can review context, not as automated trade execution signals.
Every major component is modular and configurable. You can run a minimal structure only layout or enable a full framework with zones, imbalances, liquidity, SFP and HTF projection. The guiding principle is chart clarity and relevance: keep the most important information visible, reduce overlap and stale objects, and maintain a consistent view of how price is interacting with liquidity and value over time.
🔹 Features
🔸 Market Structure Engine (CHoCH and BoS)
This script automatically tracks zigzag based market structure and differentiates between:
CHoCH (Change of Character) : the first meaningful structural shift that suggests the prior directional leg is weakening.
BoS (Break of Structure) : continuation breaks that confirm structure extension in the active direction.
Instead of relying on plain pivot dots, our market structure swings are built with a lightweight zigzag style engine that tracks direction and “locks in” the true leg extreme only when the leg flips. This produces cleaner, more consistent swing highs/lows for BOS/CHoCH than simple left/right pivot checks.
Bullish CHoCH:
Bearish CHoCH:
Bullish BoS:
Bearish BoS:
🔸 Order Blocks with Volumetric and Displacement Insight
The script identifies recent bullish and bearish order block zones around meaningful structural reactions and keeps the display focused on the most relevant areas. Instead of drawing a static rectangle and leaving it there forever, each zone is maintained as an active region on the chart and can be limited by a user defined visibility depth to avoid clutter. When enabled, the overlay also adds compact volume based context inside the block so you can quickly compare relative participation between recent zones and see whether the origin move showed strong follow through versus a softer transition. The intention is to provide structured context and cleaner prioritization on the chart, not to present a trade call or a guaranteed reaction level.
Bullish Order Block:
Bearish Order Block:
Order blocks are derived from the structure shifts, marking the institutional “origin zone” behind a decisive move and projecting it forward as a live area of interest. In practice, it highlights the candle cluster where price last rebalanced before expanding away, so you can track potential retests with context instead of guessing.
Inside each order block, the internal bars act as a compact strength meter green vs red summarizes the relative bullish vs bearish participation, while the blue segment reflects the “departure force” (displacement/momentum) away from the zone. It’s meant to help you scan which blocks left clean and strong versus those that moved out more slowly or with mixed pressure.
🔸 Breaker Blocks & Mitigation Tracking
Tracks when previously identified order blocks fail and converts them into breaker blocks, visually marking a change in how price is interacting with that zone.
Bullish Breaker Block :
Bearish Breaker Block :
Separate handling of bullish and bearish breakers with clear color differentiation.
Includes optional “mitigation” logic using either wick or close to determine when a block is considered broken or mitigated.
Breaker blocks are updated and removed dynamically as price trades through them, keeping the chart focused on current, active zones.
🔸 Imbalances
The imbalance module maps common price inefficiencies as zones, with support for multiple detection styles such as Fair Value Gaps, volume style imbalances, opening gaps, and an inverted gap mode. Each imbalance is drawn as a practical area on the chart with a midpoint reference, so you can quickly see where price may be revisiting unbalanced movement. You can also choose how mitigation is evaluated (wick or close) and optionally run imbalance detection on a separate timeframe for cleaner higher timeframe context while staying on your execution chart.
Fair Value Gaps:
Inverse Fair Value Gaps:
Opening Gaps:
🔸 Liquidity Sweeps, EQH/EQL, and Optional Volume Filter
Liquidity levels are derived from swing highs and lows and then monitored for sweep behavior, where price trades beyond a prior level and rejects back. If you enable EQH/EQL marking, the script can highlight equal highs and equal lows behavior around those liquidity areas to make common pool formations easier to spot. An optional volume filter can be used to reduce tracking of low participation swings, helping keep the liquidity layer focused and less noisy on instruments that produce frequent small pivots.
Sellside Liquidity Sweep Definition:
Buyside Liquidity Sweep Definition:
Highlights equal highs (EQH) and equal lows (EQL) when sweeps occur, marking where price probed above/below prior liquidity and then rejected.
Optional volume filter to ignore low volume swings and focus on more meaningful liquidity zones.
🔸 Premium, Discount, and Equilibrium
The premium and discount view provides a simple contextual map of where price is trading within a measured range, alongside an optional equilibrium line as a midpoint reference. This is intended as a higher level framing tool to help you avoid treating every price location the same, especially when combining structure with reaction zones. Price labels can be enabled for quick orientation, and the display updates as the underlying range evolves.
Projects premium and discount bands based on a dynamically measured range, offering a simple view of where price is trading relative to that range.
Draws separate Premium and Discount boxes with optional price labels for quick orientation.
Optional mid line (equilibrium) to visualize the “50%” of the current range, often used as a reference for balanced versus extended price.
Zones auto update as the underlying range evolves, with logic to prevent stale levels from cluttering the chart.
🔸 Trend Channels
When enabled, the trend module draws swing based diagonal structure using trendlines and a channel style visualization. You can tune sensitivity and choose whether the source should be depending on how you prefer to read trend behavior. The channel is maintained dynamically so you can keep directional context without manually drawing and constantly adjusting diagonal lines, and the script can highlight basic break behavior when price pushes beyond the active diagonal reference.
🔸 Swing Failure Pattern (SFP) Detector
The SFP module highlights common swing failure behavior, where price briefly trades beyond a swing level and then reclaims it, often reflecting a liquidity grab followed by rejection. Bullish and bearish SFPs can be enabled independently, and the display is designed to keep the key level and the rejection visible without excessive clutter. Optional volume validation can be used as a filter, so you can choose whether you want the detector to be more permissive or more selective based on participation characteristics.
🔸 HTF Candle Projection Panel
The HTF panel projects a compact set of higher timeframe candles to the right of price, giving you higher timeframe context without switching charts. You can select classic candles or Heikin Ashi style, adjust the scale and spacing, and optionally display reference lines and labels for OHLC values. This is a visual context tool intended to support multi timeframe reading, not a replacement for your own higher timeframe analysis.
In addition to projecting higher timeframe candles, the HTF panel can also detect and visualize higher timeframe liquidity sweeps directly within the projected candle set. The script monitors each completed HTF candle’s high and low and evaluates subsequent HTF candles for sweep behavior i.e., when price briefly trades beyond a prior HTF extreme but fails to hold acceptance beyond it (filtered using the later candle’s body positioning). When a sweep is detected, the panel draws a dotted sweep line and marks the event, allowing you to spot HTF stop runs and failed breaks without switching timeframes. Sweeps are dynamically invalidated if a later HTF candle shows genuine acceptance beyond that level, ensuring the display stays context relevant and avoids stale markings. This turns the HTF projection from a passive visualization into an actionable context layer for identifying HTF liquidity events while executing on lower timeframes.
🔸 Alerts
Alerts are included for the most practical events produced by the overlay, such as structure shifts (CHoCH and BoS), liquidity sweeps, new and invalidated zones, price approaching recent zones, imbalance creation and mitigation, premium or discount entries, trendline events, and SFP detections. The alerts are designed to function as a monitoring layer so you can be notified when something changes in your mapped context, rather than acting as standalone trade instructions.
🔸 Originality & Usefulness
This script is not a collection of separate SMC drawings layered on top of price. It is built as a unified price action engine where market structure, order blocks, inefficiencies, and liquidity are produced from the same evolving state. That matters because most SMC indicators treat these concepts as independent overlays, which often leads to contradictory markings and excessive clutter. Here, the design priority is consistency and readability: modules update in sync, older elements are managed, and the chart stays usable during live conditions.
A key differentiator is the internal swing logic, which functions like a compact zigzag style structure engine. Instead of reacting to every minor fluctuation, it aims to focus on meaningful swing decisions and treat structure as a sequence. This reduces repetitive labeling and makes structural transitions easier to follow. Structure events are anchored to the swing that defined them and are designed to trigger in a clean, non spammy way, which is critical for anyone who uses structure as a workflow backbone.
The structure layer is intentionally narrative oriented. It separates a transition event from continuation events, so CHoCH is used to highlight the first meaningful shift after an established leg, while BoS is used to mark follow through in the same direction. This is not a prediction claim. It is a clarity feature that helps users read “phase changes” versus “continuation” without constantly second guessing whether the script is just printing noise.
Order blocks are where this script becomes especially distinctive compared to typical SMC tools. Instead of drawing identical rectangles, each block is rendered with an internal gauge that communicates participation and directional dominance at a glance. The zone is visually segmented to reflect bullish and bearish pressure components, and it also carries a volume readout plus a relative weight compared to other recent blocks. This creates a ranked view of blocks rather than an unfiltered pile. In practice, you can prioritize zones faster because the script surfaces which blocks had more meaningful participation and whether the internal push looked one sided or mixed. The result is less subjective filtering and a cleaner chart.
Imbalances are handled as structured inefficiency zones with clear references and optional context. Beyond drawing the zone and midpoint, the script can overlay a sentiment style gauge that divides the imbalance into bullish and bearish portions and updates as new data comes in. The practical value is that you can see whether an inefficiency remains strongly one sided or is gradually being balanced. This turns imbalances from static boxes into a living context layer, which is particularly useful when you monitor reactions over time instead of treating every touch the same.
Liquidity is treated as an event driven tracking system rather than simple pivot plotting. Liquidity pools are identified from swing behavior and can be gated through a participation filter so the script focuses on levels that formed with meaningful activity rather than low quality noise. Once tracked, levels are monitored for outcomes like sweeps and equal high/low behavior, and then updated or retired when they are decisively resolved. This prevents the display from accumulating stale levels and keeps the liquidity layer focused on what is still relevant now.
Swing failure patterns are integrated as selective events rather than continuous spam. The intent is to produce fewer but more structurally meaningful SFPs, aligned with the liquidity narrative, instead of printing clusters around the same price area. This keeps the pattern readable and reinforces the “event based” design philosophy across the script.
Higher timeframe context is supported through a compact HTF projection panel that provides quick orientation without forcing constant timeframe switching. It lets you see where current price action sits inside a larger timeframe candle and range, which helps maintain consistency when you are executing on a lower timeframe but respecting higher timeframe structure.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice, and it does not guarantee results.
🔹 How to Use
This tool is designed to support multiple trading styles, but it is most effective when you treat it as a top down mapping and decision support tool. A practical workflow looks like this.
1) Establish higher timeframe bias and context
Start on your reference timeframe such as H4 or Daily and read the market’s dominant story first. Use the Market Structure Engine to identify whether the market is in continuation mode or transition mode. The goal is to avoid executing lower timeframe ideas that conflict with the larger structure narrative.
Use the HTF Candle Projection Panel as a fast orientation aid. It helps you judge whether current price is building acceptance near the highs of the larger candle, rotating back toward its open, or rejecting from its extremes. This is especially useful when you execute on lower timeframes but want to stay aligned with higher timeframe positioning.
Add Premium and Discount framing to understand location. When price is trading in premium, continuation longs are often more selective and require stronger confirmation, while shorts may have better location if structure supports it. When price is in discount, the opposite applies. Treat this as location context, not a rule.
2) Map your key reaction zones with prioritization
Next, build your map of where reactions are most likely to occur. Enable Order Blocks with Volumetric Insight to highlight the most relevant origin zones that form after important structure events. Keep your focus on the most recent blocks and adjust the visible depth so the chart stays clean.
Use the internal gauge and participation readouts to prioritize. Instead of treating every zone as equal, treat higher participation blocks as primary candidates and lower participation blocks as secondary. The bullish and bearish split inside the gauge helps you quickly judge whether the zone formed from a clearly one sided push or a more mixed move, which can inform how strict you want to be with confirmation on a retest.
If you use Breaker Blocks, treat them as role shift zones. They are especially useful when the market has clearly transitioned and you want to track where a previously defended origin area may become a meaningful retest level later.
3) Layer in inefficiencies only where they add clarity
If your workflow includes imbalances, add them selectively to avoid visual overload. Use Fair Value Gaps, Volume Imbalances, or Opening Gaps as secondary reaction areas that often sit inside, near, or between larger zones.
If you enable the internal sentiment gauge, read it as context rather than a signal. It is meant to help you see whether the imbalance remains one sided or has started to balance out as price develops. A strongly one sided presentation can support the idea of continuation through the zone, while a more balanced presentation can support the idea of deeper mitigation or chop. Use it to refine expectations, not to force entries.
4) Track liquidity as events, not as static levels
Enable Liquidity Sweeps and EQH/EQL tagging to highlight where resting liquidity is likely concentrated and when it gets taken. The main value here is narrative: you can see when price runs obvious highs or lows and whether it immediately rejects back into structure or accepts beyond the level.
If you use the volume filter, treat it as a quality gate. The point is to ignore small, low participation swings and keep the liquidity layer focused on levels that formed with meaningful activity. This tends to reduce noise and makes sweeps and equal level behavior more relevant.
Combine the liquidity layer with the Swing Failure Pattern detector to isolate moments where liquidity is taken and then rejected. The cleanest use is when SFPs occur at or near your pre mapped reaction zones, after a sweep, and in alignment with your higher timeframe bias.
5) Refine execution timing on your entry timeframe
Drop to your execution timeframe and use local structure shifts as timing tools. CHoCH and BoS on the lower timeframe can help you see when micro structure is flipping in your intended direction after price interacts with your mapped zone.
If you use the Trend Channel framework, treat it as diagonal context rather than strict support and resistance. A channel helps you see where price is riding the trend and where it is deviating. This can help you time entries by waiting for price to re enter the corridor, show rejection near a boundary, or confirm a shift by building structure outside the channel.
A common practical sequence is: price reaches a mapped OB or imbalance area, liquidity gets taken, price rejects, micro structure begins to flip, and then you execute with your own confirmation and risk rules. The tool helps you see each step clearly, but your plan determines what is sufficient confirmation.
6) Use alerts as monitoring, not as standalone signals
Set alerts only for events that are meaningful to your workflow, such as:
-fresh CHoCH or BoS in your preferred direction
-new or invalidated order blocks and breaker blocks
-price approaching the most recent priority zones
-liquidity sweeps and EQH/EQL interactions
-new SFP events
-entry into premium or discount and interaction with HTF projection levels
-imbalance creation, mitigation, or approach
Treat alerts as prompts to check the chart, not as automatic entries or exits. This script is designed as a mapping and decision support tool. Trade execution, confirmation, and risk management remain entirely dependent on your own strategy and discretion.
🔴 Price Action Practical Notes
💠 Market structure
Market structure is the framework used to describe how price organizes itself into swings. It is built from successive swing highs and swing lows, and it is used to decide whether the market is expanding upward, expanding downward, or transitioning. A practical structure model focuses on “meaningful” turning points rather than every minor fluctuation, because the goal is to capture intent and flow, not noise.
💠 Swing highs and swing lows
A swing high is a local peak where price stops advancing and begins to rotate lower, while a swing low is a local trough where selling pressure pauses and price rotates higher. Swings matter because many traders anchor risk, liquidity, and entries around them. The stronger the reaction away from a swing, the more likely it is to be referenced again as a decision point.
💠 Break of structure
A break of structure is the event where price decisively exceeds a prior swing in the direction of the prevailing move. In practice, it is used as confirmation that a directional leg is still active and that liquidity resting beyond the swing has been taken. This concept is less about predicting and more about validating continuation.
💠 Change of character
A change of character is a structural break that signals transition rather than continuation. Instead of breaking a swing in the same direction as the recent trend, price breaks a key swing in the opposite direction, suggesting that control may be shifting. It is often treated as an early warning that the market may be moving from continuation into reversal or deeper pullback conditions.
💠 Order blocks
An order block is commonly described as the last opposing candle or consolidation zone that precedes a strong directional expansion. The idea is that this area represents a footprint of aggressive execution and unfilled interest. When price revisits it later, it can act as a reaction zone because participants who missed the move may defend it, or because remaining orders may still exist there.
💠 Mitigation and invalidation of a zone
Mitigation describes the process of price returning to a zone and “consuming” the remaining interest there. A zone is typically considered invalidated when price trades through it in a way that implies the resting orders were absorbed and the area no longer has protective value. Some approaches treat a wick through the boundary as enough to invalidate, while others require a candle close beyond the boundary to confirm that the level has truly failed.
💠 Breaker blocks
A breaker block is an order block concept that changes role after being invalidated. When a previously respected zone fails, it can later become a reaction area in the opposite direction because trapped participants may use the retest to exit, or because the market may recognize it as a new supply or demand reference. Breakers are often treated as “failed zones that become liquidity magnets” and are closely watched on retests.
💠 Liquidity and liquidity pools
Liquidity is the availability of resting orders that allow large transactions to execute with minimal slippage. In chart terms, liquidity pools often form around obvious swing highs and lows, equal highs and lows, and clear ranges. These areas attract price because they contain clustered stops and entries that can be used to fuel continuation or trigger reversals through rapid order flow shifts.
💠 Liquidity sweeps
A liquidity sweep is a move where price briefly trades beyond a known liquidity pool and then returns back inside, often closing back within the prior range. The concept implies that stops were triggered and liquidity was captured, but that continuation beyond the swept level did not sustain. Sweeps are frequently used as context for reversals or for confirming that a “cleanout” occurred before a directional move.
💠 Equal highs and equal lows
Equal highs and equal lows describe repeated swing levels that form a flat or nearly flat top or bottom. They matter because they concentrate liquidity. Many traders place stops just beyond these repeated levels, and many breakout traders place entries around them. The result is a dense cluster of orders that can be targeted efficiently by price.
💠Imbalances and inefficiencies
Imbalances represent zones where price moved so quickly that it left behind inefficient trading, meaning fewer transactions occurred in that region compared to surrounding areas. The underlying idea is that markets often revisit these areas to rebalance, fill gaps, or complete unfinished business. Imbalances are treated as areas of interest for pullback entries, targets, or reaction zones.
💠 Fair value gap
A fair value gap is a specific form of imbalance commonly framed as a three candle displacement that leaves a gap between candles, indicating rapid repricing. Traders use it as a proxy for inefficiency: if price returns, it may partially or fully fill the gap before continuing. The midpoint of the gap is often treated as a particularly relevant reference, but whether price respects it depends on context.
💠 Inverted fair value gap
An inverted fair value gap is the idea that once an imbalance is “broken” in a meaningful way, the zone can flip its behavior. Instead of acting like a supportive zone, it may become resistive (or vice versa) on a later retest. Conceptually, this is similar to role reversal: what once behaved as a continuation aid can become a rejection zone after failure.
💠 Premium, discount, and equilibrium
Premium and discount describe where price sits relative to a defined recent range. Premium is the upper portion of that range and discount is the lower portion. Equilibrium is the midpoint. The concept is mainly used to align trade direction with location: buying is generally more attractive in discount and selling is generally more attractive in premium, assuming you are trading mean reversion within a range or seeking favorable risk placement within a broader trend.
💠 Swing failure pattern
A swing failure pattern is a reversal archetype where price breaks a known swing level, fails to hold beyond it, and returns back through the level. The logic is that the breakout attempt attracted orders and triggered stops, but the market rejected the extension. SFPs are often considered higher quality when the failure is followed by a decisive move away and when it aligns with a broader liquidity narrative.
💠 Higher timeframe context
Higher timeframe context means framing intraday or lower timeframe signals within the structure of a larger timeframe. This can include aligning trades with higher timeframe swings, using higher timeframe candles as reference for open/high/low behavior, and avoiding taking counter trend signals when the larger timeframe is strongly directional. The purpose is to improve signal quality by ensuring the smaller timeframe idea is not fighting a dominant larger flow.
💠 Trend channels
A trend channel is a structured way to visualize a market’s directional “lane” by framing price between two roughly parallel boundaries. The central idea is that trending price action often oscillates in a repeatable corridor: pullbacks tend to stall around one side of the lane, while impulses tend to extend toward the opposite side. Instead of treating trend as a single line, a channel treats trend as an area, which better reflects real market behavior where reactions occur in zones rather than at perfect prices.
A channel typically has three functional references: a guiding line that represents the prevailing slope, an upper boundary that approximates where bullish expansions tend to stretch before mean reversion, and a lower boundary that approximates where bearish pullbacks tend to terminate before continuation. The space between boundaries represents the market’s accepted path. When price stays inside this corridor, the trend is considered healthy. When price repeatedly fails to progress within it, the trend is weakening.
Channels are commonly used for timing and location. In an uptrend channel, pullbacks into the lower portion of the corridor are often treated as higher quality “location” for continuation attempts, while pushes into the upper portion are treated as extension territory where risk of a pause or retracement increases. In a downtrend channel, the logic is mirrored: rallies into the upper portion are often treated as sell side location, and moves into the lower portion are treated as extension territory. The channel does not predict direction by itself; it provides a disciplined map for where continuation is more likely versus where momentum is more likely to cool.
A key concept is acceptance versus deviation. If price briefly pierces a boundary and snaps back inside, that is often interpreted as a deviation, meaning the market tested outside the lane but did not accept it. If price holds outside the corridor and begins to build new swings there, that suggests acceptance and a potential regime change: either a new channel with a different slope, a shift into range, or a broader reversal context. This is why channels are most useful when you treat them as a framework for evaluating behavior, not as rigid support and resistance.
ENIGMA PROENIGMA PRO: Multi-Strategy & Signal Verification System (Smart Signal Panel)
Description: Transform market chaos into clarity. Enigma combines 12 independent and powerful algorithms (based on Trend, Momentum, Volume, Reversal, and Squeeze) running in the background into a single control panel.
Instead of relying on a single indicator, rely on the "Consensus of Strategies". Enigma doesn't just say "BUY"; it shows exactly how many different strategies support this decision simultaneously.
Key Features:
🧩 12 Hidden Algorithms (T1-T12): HMA, Ichimoku, RSI, Volume, EMA, Stochastic, and more are constantly scanning in the background.
🎛 Signal Confirmation Mechanism: You decide the minimum number of strategies required to trigger an alarm. (e.g., "Notify me only if at least 3 strategies signal BUY").
📊 Live Control Panel: Instantly monitor which strategies are active via the dashboard in the top-right corner.
🎯 Precise Filtering: Pinpoint opportunities with Common Volume Threshold (RVol), Date Range, and Day-Based Scanning (e.g., Only Fridays) options.
🛡 Risk Management: Visualize automatic TP (Take Profit) and SL (Stop Loss) levels directly on the chart.
The only tool you need to decode the market cipher.
Turn off the noise, turn on Enigma.
GIX-Treid-2Timeframes: M15 – H1 (and higher)
An advanced SuperTrend, more stable and more intelligent, based on statistical calculations, not market noise.
It calculates a statistical moving average, significantly smoother than EMA or SMA.
It builds an adaptive channel around this average, using fixed pip/tick steps (not a classic ATR).
The trend changes only when price breaks the channel, not on minor fluctuations.
The main line moves in discrete steps, not continuously → no repaint and no whipsawing.
Line color indicates direction:
Green = bullish trend
Red = bearish trend
QM Level Detector by RWBTradeLabQM Level Detector by RWBTradeLab
A clean, non-repainting QM level detector built for traders who track structure shifts and level-break sequences using confirmed candles only.
What this indicator does
This script detects and marks QM Levels based on a strict, rule-based sequence using closed candles only (no running-bar signals).
It identifies two types of QM:
Buy QM
A Buy QM is confirmed when the following sequence completes in order:
* V Level is detected.
* That V Level is broken down by a red candle close below the V Level price.
* After that breakdown, the most recent A Level (formed before the breakdown) is identified.
* When that A Level is later broken out by a green candle close above the A Level price, the original V Level becomes a Buy QM Level .
Sell QM
A Sell QM is confirmed when the opposite sequence completes in order:
* A Level is detected.
* That A Level is broken out by a green candle close above the A Level price.
* After that breakout, the most recent V Level (formed before the breakout) is identified.
* When that V Level is later broken down by a red candle close below the V Level price, the original A Level becomes a Sell QM Level .
Visuals on chart
* A horizontal ray (right-extended) is drawn at the confirmed QM price level.
* Label distance is adjustable via Text Offset (ticks).
Alerts
Built-in alerts trigger only on candle close when a QM is confirmed:
* Buy QM
* Sell QM
Each alert is designed for reliable automation without repainting.
Key settings
* Candle Length (closed candles): Scans the last N closed bars (running candle excluded).
* Buy QM / Sell QM toggles: Show or hide each type.
* Text toggle: Show or hide labels.
* QM Line Color and Text Offset (ticks) customization.
Non-repainting confirmation
All detection, marking, and alerts are based on confirmed candles only.
No running-bar conditions → no repainting .
Disclaimer
This indicator is a level-detection tool, not financial advice. Trading involves risk—always use proper risk management and confirm signals with your own analysis.
Creator: RWBTradeLab
If you find this useful, please leave a like ⭐ and share your feedback.
[Sebo] HTF FVGHigher-timeframe Fair Value Gaps only. Fixed logic, no filters, no signals. Built strictly for objective HTF market structure
This script is invite-only. If you want access, please send me a private message!!!
KIMATIX FVG/IFVG/BPRProfessional Fair Value Gap & Imbalance Toolkit
The KIMATIX FVG/IFVG/BPR indicator is a precision tool designed to identify institutional inefficiencies in price:
Fair Value Gaps (FVG), Inverse Fair Value Gaps (IFVG) and Balanced Price Ranges (BPR) — clean, minimal and non-repainting.
This indicator is built for scalpers, intraday traders and smart-money traders who want to trade where price is most likely to react, not where indicators lag.
What this indicator shows
Fair Value Gaps (FVG)
Detects bullish and bearish FVGs using strict 3-candle imbalance logic
Highlights areas where price moved too fast, leaving inefficient structure
Ideal for:
Continuation trades
Pullback entries
Reaction zones after impulse moves
Color-coded
🟢 Bullish FVG
🔴 Bearish FVG
Inverse Fair Value Gaps (IFVG)
Automatically detects when an FVG is invalidated
Marks the same zone as an Inverse FVG
Extremely useful for:
Failed structure setups
Reversal trades
Stop-hunt & liquidity traps
Color-coded
🟡 IFVG (invalidation zone)
Balanced Price Range (BPR)
Detects overlapping bullish & bearish FVGs
Highlights price areas where buying and selling pressure are balanced
These zones often act as:
High-probability reaction areas
Compression zones before expansion
Premium intraday decision levels
Color-coded
🔵 BPR (balanced price range)
Smart, Clean & Non-Repainting
Non-repainting
Only the last 3 active zones are shown → no clutter
Boxes extend forward with a manual cap (user-controlled)
Designed for 1m – 15m execution, works on all markets
Futures, Crypto, FX, Indices, Stocks
How professionals use it
Combine FVGs with:
VWAP
Session highs/lows
Volume Profile (POC / VAH / VAL)
Market structure (BOS / displacement)
Use IFVGs to spot failed smart-money narratives
Use BPRs as decision zones, not blind entries
This indicator does not give buy/sell signals.
It shows you where trades make sense — execution is up to you.
Best use cases
Scalping (1m–3m)
Intraday trading (5m–15m)
Smart-money concepts
Liquidity-based trading
News reactions & stop runs
Learn how to trade it properly
This indicator is part of the KIMATIX Trading Framework.
More education, live examples & full system:
kimatixtrading.com
Premarket ZonesThis indicator is built for index futures traders (ES, NQ, RTY, YM) who trade liquidity, session structure, and high-probability reaction levels using true CME futures timing.
It automatically plots:
Premarket High & Low zones (wick + body)
Previous Day Futures RTH High & Low zones (PDH / PDL)
Clean right-edge labels
First-touch alerts (once per day)
All calculations are based on Central Time (CT) and CME futures sessions, not equity cash-market hours.
🕒 Session Definitions (CME / Central Time)
Session Time (CT) Purpose
Premarket 03:00 – 08:30 Overnight liquidity build
Futures RTH (Calc) 08:30 – 15:00 True CME regular trading hours
Plot Window 03:00 – 16:00 Visual extension of zones
This script intentionally uses 08:30 CT as the futures open — not 09:30 equity cash open.
🔷 Premarket Zones (PMH / PML)
The indicator builds two premarket zones using multi-timeframe precision.
How they are calculated:
1-minute candles → capture the true wick extremes
5-minute candles → capture the dominant body area
Zones:
Premarket High Zone (PMH)
Between the highest 5-minute candle body and the highest 1-minute wick
Premarket Low Zone (PML)
Between the lowest 1-minute wick and the lowest 5-minute candle body
Key behavior:
Zones finalize at 08:30 CT
Once finalized, zones are drawn as boxes that extend left to 03:00 CT
Zones extend forward through the trading day for context
PMH / PML labels are plotted on the right edge
These zones represent overnight liquidity pools commonly used for:
Opening drive continuation
Liquidity sweeps
Mean reversion
Acceptance vs rejection at the open
🔶 Previous Day High / Low (PDH / PDL)
This script plots TRUE futures PDH / PDL, not equity-based levels.
How they are calculated:
Uses only the prior day’s futures RTH (08:30–15:00 CT)
1-minute candles → wick extremes
5-minute candles → body value areas
Zones:
PDH Zone: 5m body → 1m wick
PDL Zone: 1m wick → 5m body
These levels represent:
Institutional reference points
Prior session balance extremes
High-probability reaction zones
Clean PDH / PDL labels are plotted on the right edge.
🔔 Alerts (Once Per Day)
The indicator includes first-touch alerts for:
PDH
PDL
Premarket High Zone
Premarket Low Zone
Each alert triggers only once per session, making it ideal for:
Trade planning
Discipline-based execution
Prop firm risk control
📈 How Traders Use This Script
This indicator is context-based, not predictive.
Common use cases:
Waiting for liquidity sweeps into PMH / PML
Trading rejection or acceptance at PDH / PDL
Combining with:
VWAP
Opening Range
Market structure
Volume or delta tools
It works especially well on:
Opening range days
Mean-reversion conditions
Trend continuation days after overnight imbalance
🎯 Design Philosophy
Futures-first logic
No clutter
No repainting
No equity-market assumptions
Levels professionals actually use
This script is designed to mirror how professional futures traders map their charts.
⚠️ Notes
Best used on 1m or 5m charts
Designed for CME index futures
Not a standalone trading system
Always manage risk
[Sebo] FVGFixed simple Fair Value Gaps based on a single, objective definition.
This indicator displays all FVGs without optimization or sensitivity settings.
No filtering, no curve-fitting, no interpretation.
Same rules → same chart → objective market context.
Directional Movement Index (SHADED)Shaded red in between DMI lines when DMI- > DMI+
Shaded blue in between DMI lines when DMI+ > DMI-
Trendlines & SR ZonesIt's a comprehensive indicator (Pine Script v6) that represents two powerful technical analysis tools: automatic trendline detection based on pivot points and volume delta analysis with support/resistance zone identification. This overlay indicator helps traders identify potential trend directions and key price levels where significant buying or selling pressure has occurred.
Features: =
1. Price Trendlines
The indicator automatically identifies and draws trendlines based on pivot points, creating dynamic support and resistance levels.
Key Components:
Pivot Detection: Uses configurable left and right bars to identify significant pivot highs and lows
Trendline Filtering: Only draws downward-sloping resistance trendlines and upward-sloping support trendlines
Zone Creation: Creates filled zones around trendlines based on average price volatility
Automatic Management: Maintains only the 3 most recent significant trendlines to avoid chart clutter
Customization Options:
Left/Right Bars for Pivot: Adjust sensitivity of pivot detection (default: 10 bars each side)
Extension Length: Control how far trendlines extend past the second pivot (default: 50 bars)
Average Body Periods: Set the lookback period for volatility calculation (default: 100)
Tolerance Multiplier: Adjust the width of the trendline zones (default: 1.0)
Color Customization: Separate colors for high (resistance) and low (support) trendlines and their fills
2. Volume Delta % Bars
The indicator analyzes volume distribution across price levels to identify significant supply and demand zones.
Key Components:
Volume Profile Analysis: Divides the price range into rows and calculates volume delta at each level
Delta Visualization: Displays horizontal bars showing the percentage difference between buying and selling volume
Zone Identification: Automatically identifies the most significant supply and demand zones
Visual Integration: Connects volume delta bars with corresponding support/resistance zones on the price chart
Customization Options:
Lookback Period: Set the number of bars to analyze for volume (default: 200)
Price Rows: Control the granularity of the volume analysis (default: 50 rows)
Delta Sections: Adjust the number of horizontal delta bars displayed (default: 20)
Panel Appearance: Customize width, position, and direction of the delta panel
Zone Settings: Control the number of supply/demand zones and their extension (default: 3 zones)
How It Works-
Trendline Logic:
The script continuously scans for pivot highs and lows based on the specified left and right bars
When a pivot is detected, it creates a horizontal line at that price level
The script then looks for the previous pivot of the same type (high or low)
It connects these pivots with a trendline, extending it based on the user-specified setting
A parallel line is created to form a zone, with the distance based on average price volatility
The script filters out invalid trendlines (upward-sloping resistance and downward-sloping support). Only the 3 most recent trendlines are maintained to prevent chart clutter
Volume Delta Logic:
The script divides the price range over the lookback period into the specified number of rows
For each bar in the lookback period, it categorizes volume as bullish (close > open) or bearish (close < open). This volume is assigned to the appropriate price level based on the HLC3 price.
The price levels are grouped into sections, and the net delta (bullish - bearish volume) is calculated for each Horizontal bars are drawn to represent these delta percentages.
The most significant positive and negative deltas are identified and displayed as support and resistance zones. These zones are extended to the left on the price chart and connected to the delta panel with dotted lines.
Ideal Timeframes:
The indicator is versatile and can be used across multiple timeframes, but it performs optimally on specific timeframes depending on your trading style:
For Day Trading:
Optimal Timeframes: 15-minute to 1-hour charts
Why: These timeframes provide a good balance between noise reduction and sufficient volume data. The volume delta analysis is particularly effective on these timeframes as it captures intraday accumulation/distribution patterns while the trendlines remain reliable enough for intraday trading decisions.
For Swing Trading:
Optimal Timeframes: 1-hour to 4-hour charts
Why: These timeframes offer the best combination of reliable trendline formation and meaningful volume analysis. The trendlines on these timeframes are less prone to whipsaws, while the volume delta analysis captures multi-day trading sessions and institutional activity.
For Position Trading:
Optimal Timeframes: Daily and weekly charts
Why: On these higher timeframes, trendlines become extremely reliable as they represent significant market structure points. The volume delta analysis reveals longer-term accumulation and distribution patterns that can define major support and resistance zones for weeks or months.
Timeframe-Specific Adjustments:
Lower Timeframes (1-15 minutes):
Reduce left/right bars for pivots (5-8 bars)
Decrease lookback period for volume delta (50-100 bars)
Increase tolerance multiplier (1.2-1.5) to account for higher volatility
Higher Timeframes (Daily+):
Increase left/right bars for pivots (15-20 bars)
Extend lookback period for volume delta (300-500 bars)
Consider increasing the number of price rows (70-100) for more detailed volume analysis
Usage Guidelines-
For Trendline Analysis:
Use the trendlines as dynamic support and resistance levels
Price reactions at these levels can indicate potential trend continuation or reversal points
The filled zones around trendlines represent areas of price volatility or uncertainty
Consider the slope of the trendline as an indication of trend strength
For Volume Delta Analysis:
The horizontal delta bars show where buying or selling pressure has been concentrated
Green bars indicate areas where buying volume exceeded selling volume (demand)
Red bars indicate areas where selling volume exceeded buying volume (supply)
The highlighted supply and demand zones on the price chart represent significant price levels
These zones can act as future support or resistance areas as price revisits them
Customization Tips:
Trendline Sensitivity: Decrease left/right bars values to detect more pivots (more sensitive) or increase them for fewer, more significant pivots
Zone Width: Adjust the tolerance multiplier to make trendline zones wider or narrower based on your trading style
Volume Analysis: Increase the lookback period for a longer-term volume profile or decrease it for more recent activity
Visual Clarity: Adjust colors and transparency settings to match your chart theme and preferences
Conclusion:
This indicator provides traders with a comprehensive view of both trend dynamics and volume-based support/resistance levels. With these two analytical approaches, the indicator offers valuable insights for identifying potential entry and exit points, trend strength, and key price levels where significant market activity has occurred. The extensive customization options allow traders to adapt the indicator to various trading styles and timeframes, with optimal performance on 15-minute to daily charts depending on their trading horizon.
Chart Attached: NSE HINDZINC, EoD 12/12/25
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
VWAP Flow ParmezanThe "Official Bank Flow VWAP" is a comprehensive trading suite designed for institutional Forex traders.
This indicator solves the problem of chart clutter by combining two critical components of liquidity: Price (Value) and Time (Sessions). It is specifically optimized for EUR/USD and GBP/USD on intraday timeframes (M5, M15), helping you identify high-probability setups where "Fair Value" meets "Volatility."
Key Features
1. Multi-Timeframe VWAP Hierarchy Unlike standard indicators, this tool visualizes the interaction between three distinct timeframes:
Daily VWAP (Dynamic Color): Your primary trend filter. Green when Bullish (Price > VWAP), Red when Bearish (Price < VWAP).
Weekly VWAP (Orange Dots): Represents the medium-term balance. Acts as a magnet for mean reversion mid-week.
Monthly VWAP (Purple Line): The institutional "line in the sand." Major support/resistance level.
2. Standard Deviation Bands (Market Balance) The indicator plots SD1 and SD2 bands around the Daily VWAP:
Inner Zone (SD1): Represents the "Fair Value" area.
Outer Bands (SD2): Represents overbought/oversold conditions. Useful for identifying mean reversion plays back to the center.
3. Official Exchange Sessions (Time) Forget confusing "killzones." This tool highlights the Official Open times for major exchanges, adjusted for Daylight Savings via New York time:
London Open (08:00 LDN): The start of European volume.
New York Open (08:00 NY): The injection of US liquidity.
London Close/Fix: The daily overlap close, often marking trend reversals.
Note: Sessions are visualized with non-intrusive black "shadow" backgrounds to keep your chart clean.
4. "Ghost" Levels (Previous VWAP) A unique feature that plots the closing VWAP level of the previous day. Institutional algorithms often target these "untested" levels as Take Profit targets or liquidity pools.
How to Use
Trend Following: If Price is above the Daily VWAP (Green) during the London Open, look for Long entries targeting the SD1/SD2 upper bands.
Mean Reversion: If Price hits the SD2 Band while far away from the Weekly VWAP, look for a reversal back to the mean.
Confluence: The strongest signals occur when price touches a key VWAP level (e.g., Weekly VWAP) specifically during the highlighted Session Start times.
Settings
Timezone: Defaults to America/New_York to automatically handle DST shifts for London/NY opens.
Visuals: Fully customizable colors and transparency. Default is set to a "Dark Mode" friendly professional palette.
Vega Crypto Strategies Gatekeeper LITE🎯 VEGA CRYPTO STRATEGIES: GATEKEEPER LITE - Stop Trading During Market Noise (FREE)
The Problem: 90% of the time, crypto markets are in "chop" - sideways, noisy conditions where most trades lose money. You need a way to identify when the market is actually tradeable.
The Solution: Vega Gatekeeper LITE uses a proven multi-factor scoring system to tell you exactly when to trade (IMPULSE) and when to stay in cash (CHOP).
✅ LITE VERSION FEATURES (FREE)
Core Detection:
✓ Chop vs Impulse classification
✓ Real-time scoring (0-10 scale)
✓ Color-coded background (green = trade, red = wait)
✓ Clear state labels on chart
✓ Live dashboard with current status
Customization:
✓ 3 sensitivity levels (Low/Medium/High)
✓ Toggle background colors
✓ Toggle chart labels
✓ Basic alerts (2 types)
What You Get:
Simple, clean interface
Works on all timeframes
No complex settings
Instant visual feedback
Perfect for beginners
📊 HOW IT WORKS
The indicator analyzes 4 key market components:
Trend Strength (ADX) - Is there a clear direction?
Momentum (RSI + MACD) - Is the move accelerating?
Volatility (Bollinger Bands + ATR) - Is the market expanding?
Volume - Is there institutional interest?
Each component contributes to a score from 0-10:
Score ≥ 4: IMPULSE (tradeable condition) 🟢
Score < 4: CHOP (stay in cash) 🔴
🎨 VISUAL ELEMENTS
On Your Chart:
Light green background = IMPULSE (trade)
Light red background = CHOP (wait)
Labels showing current state + score
Top-right dashboard with live status
Dashboard Shows:
Current state (IMPULSE/CHOP)
Live score (X/10)
Recommended action (TRADE/WAIT)
Upgrade reminder
💎 UPGRADE TO FULL VERSION
Want more precision? The FULL version includes:
Advanced Features:
✅ Detailed 10-point scoring breakdown
✅ Entry/exit signal markers (triangles)
✅ Component analysis dashboard
✅ Trend, momentum, volatility, volume status
✅ 5 customizable alert types
✅ Directional bias indicators
✅ 15+ adjustable parameters
✅ Priority email support
See exactly WHY each signal triggers and get precise entry/exit points!
🚀 Upgrade Now: vegacryptostrategies.com
📈 BEST PRACTICES
For Swing Trading (Daily Chart):
Use Medium sensitivity
Only enter during IMPULSE
Exit when CHOP appears
For Day Trading (4H/1H Chart):
Use Low sensitivity (more conservative)
Combine with support/resistance
Tighter stops during CHOP transitions
For All Timeframes:
Higher scores = higher confidence
Don't trade during CHOP (score < 4)
Use as a filter, not standalone system
⚠️ DISCLAIMER
Trading involves substantial risk of loss. This indicator is for educational purposes only and does not guarantee profits. Past performance does not indicate future results. Always do your own research and never risk more than you can afford to lose.
🚀 GET STARTED
Add indicator to your chart
Choose sensitivity (Medium recommended)
Wait for IMPULSE signal (green background)
Trade in direction of the market
Exit when CHOP appears (red background)
It's that simple!
📚 LEARN MORE
Based on the Vega Trading System's Stage 1 "Gatekeeper" model - a proven approach to filtering market noise and improving win rates.
Philosophy: "The best trade is often no trade. Stay in cash during chop, trade during impulse."
Full Dashboard Access: vegacryptostrategies.com
💬 CONTACT & SUPPORT
Website: vegacryptostrategies.com
Email: admin@vegacryptostrategies.com
Twitter: @VegaCryptoStrat | @VegaCryptoQuant
Questions? Feedback? Want to upgrade? Reach out anytime!
Powered by Vega Crypto Strategies 🚀
📈 BEST PRACTICES
For Swing Trading (Daily Chart):
Use Medium sensitivity
Only enter during IMPULSE
Exit when CHOP appears
For Day Trading (4H/1H Chart):
Use Low sensitivity (more conservative)
Combine with support/resistance
Tighter stops during CHOP transitions
For All Timeframes:
Higher scores = higher confidence
Don't trade during CHOP (score < 4)
Use as a filter, not standalone system
⚠️ DISCLAIMER
Trading involves substantial risk of loss. This indicator is for educational purposes only and does not guarantee profits. Past performance does not indicate future results. Always do your own research and never risk more than you can afford to lose.
🚀 GET STARTED
Add indicator to your chart
Choose sensitivity (Medium recommended)
Wait for IMPULSE signal (green background)
Trade in direction of the market
Exit when CHOP appears (red background)
It's that simple!
📚 LEARN MORE
Based on the Vega Trading System's Stage 1 "Gatekeeper" model - a proven approach to filtering market noise and improving win rates.
Philosophy: "The best trade is often no trade. Stay in cash during chop, trade during impulse."
💬 SUPPORT
Questions? Feedback? Want to upgrade?
Tags: crypto, bitcoin, trading, signals, chop, impulse, filter, noise, indicator, strategy, trend, momentum
AlgoZ Pro v2.4.3 [LITE] - Adaptive Trend SystemOverview
AlgoZ Pro v2.4.3 is a high-precision trend-following system designed to filter market noise and keep you on the right side of the trend. Built on an advanced ATR-adaptive engine, this indicator dynamically adjusts its sensitivity to market volatility, providing clear entries and trailing stop-loss levels for Scalpers and Day Traders.
How It Works
The system uses a volatility-based "Trailing Cloud" to identify the dominant trend.
Green Cloud: Bullish Trend (Look for Longs)
Red Cloud: Bearish Trend (Look for Shorts)
Labels:
Clear BUY/SELL text labels appear when the trend flips, confirmed by volatility expansion.
Lite Features (Included)
Adaptive Trend Cloud: Visualizes the trend direction instantly.
Smart Trailing Stops: The trend line acts as a dynamic stop-loss level.
Signal Labels: Clean Buy/Sell markers on chart.
Multi-Timeframe Logic: Optimized for 5m, 15m, and 4H timeframes.
UNLOCK THE FULL SUITE (PRO v2.4.3)
This script is the "Lite" version of the complete AlgoZ Pro system. By upgrading to the full source code version, you unlock the institutional toolkit used by professional traders:
1. 🏦 Smart Money Range (SMR) Zones Automatically draws institutional Support & Resistance zones based on Donchian liquidity levels. Stop guessing where price will bounce.
2. 📊 Volume Divergence System Detects hidden reversals before they happen by analyzing volume/price disagreements.
3. 🛡️ "Strict Mode" Filters Includes our proprietary "Anti-Spam" filter that uses MFI, RSI, and Candle Color logic to eliminate false signals during choppy markets.
4. 📈 Built-in Backtester See the real-time Win Rate, Profit Factor, and Drawdown directly on your chart. Know the math before you trade.
5. 💎 100% Source Code Ownership Get the complete Pine Script code. Modify the logic, build your own bot, and own the system forever with no monthly fees.
👉 Get the PRO Source Code & SMR Zones here: www.algozpro.com
Great Pyramid Harmonic Core Geometry V1 [QTI]Short Summary
Unlocking Ancient Market Geometry: This indicator maps critical support and resistance levels using the immutable geometric constants of the Great Pyramid of Giza, anchored to the Previous Day's High and Low (PDH/PDL).
Key Concepts & Philosophy:
This is not a standard Fibonacci tool. The Great Pyramid Harmonic Core Geometry system establishes a fixed, non-repainting structure based on the previous day’s range (PDL to PDH) and projects highly reliable levels derived from sacred geometry and ancient architecture.
The premise is that the forces driving market liquidity and price movement follow the same universal constants found in geometric perfection. We use these precise ratios—not arbitrary percentages—to define zones of high probability reversal and continuation.
The Harmonic Core (0.0 to 1.0):-
The range between the PDL (0%) and PDH (100%) is the trading day's energy core. Critical retracement levels within this core are projected using the following constants:
EQ (50%): The perfect geometric mean.
Kepler (61.8%) & Pi Inverse (31.8%): Classic Golden Mean and Pi-related support/resistance.
Isis (70.7%) & Osiris (29.3%): Derived from the square root of two ($\sqrt{2}$), relating to the cross-sectional area of the pyramid.
Horus (79.4%): A crucial level derived from the cube root of 0.5 ($\sqrt {0.5}$), often representing the center of volume mass or "Eye of Horus" apex.
KC Floor (25%): The King's Chamber floor height.
Thuban (57.7%): Derived from the space diagonal of a cube ($1/\sqrt{3}$).
The External Expansions (Beyond 1.0):-
These expansion targets are designed to predict extreme liquidity sweeps and continuation targets outside the core range:
Seqed Trap: 1.272, Pyramid Slope Tangent, A high-probability liquidity grab zone.
Isis Ext: 1.414, $\sqrt{2}$ Expansion, Standard diagonal extension target.
Phi Ext: 1.618, $\Phi$ (Golden Mean), Major expansion and trend exhaustion target.
Theban Ext: 1.732, $\sqrt{3}$ Expansion, The "Space Diagonal" of the liquidity cube.
Phi Squared: 2.618, $\Phi^2$, The second golden expansion, for high-level targets.
Pi Approx: 3.14, $\approx \pi$, The terminal geometric boundary and ultimate target ceiling.
Features & Customization:
1 - Dual Visualization Modes (Highly Recommended):
- Historical Trails: Shows light plots across the entire chart history for robust backtesting.
- Today's Structure (Recommended for Live Trading): Renders high-precision line and box objects that only persist for the current trading day, keeping the chart clean and focused on actionable levels.
2 - Full Customization: You can adjust the width, color, and visibility for every single level, line, box, and label across the Core, Apex, Base, and External Zones.
3 - Comprehensive Alerts: Includes 13 dedicated structural alerts for all major events:
- Breakouts/Breakdowns of PDH, PDL, and EQ.
- Entering/Exiting the Apex (Short) and Base (Long) structural zones.
- Hitting the high-level Phi Squared (2.618) and Pi Approx (3.14) extreme targets.
Usage Notes (Strategic Realism)
- Best Used On: Intraday timeframes (1m, 5m, 15m) for surgical entries and exits.
- Anchor: Levels are fixed until the start of the next daily session, providing reliable, non-repainting structure for the entire day.
- Overlay: Set overlay = true to display levels directly on your price candles.
ADX Cloud StyleThis custom indicator visualizes the Directional Movement Index (DMI) system to help identify trend direction and intensity:
Histogram: Displays the net momentum (calculated as DI+ minus DI-). Green bars indicate that buyers are in control (bullish), while red bars indicate sellers are in control (bearish). The height of the bars represents the strength of that dominance.
Cloud (Fill): Shading between the DI+ and DI- lines. It provides a visual backdrop for the trend: green shading for an uptrend and red shading for a downtrend.
Blue Line (ADX): Measures the absolute strength of the trend, regardless of direction. A rising blue line suggests the current trend (whether up or down) is gaining strength, while a falling line suggests consolidation or a weakening trend.
Range Breaker [MOT]Range Breaker - Volatility Compression System
Range Breaker is a technical analysis tool designed to identify periods of market consolidation (volatility compression) and generate signals when the market transitions into an expansion phase (breakout). Unlike static box tools that require manual drawing, this script uses an adaptive, volatility-based algorithm to automatically detect, draw, and monitor trading ranges in real-time. It adapts to changing market conditions by comparing recent price action against the asset's Average True Range (ATR).
METHODOLOGY & CORE CONCEPTS
1. Volatility Compression Detection
The script's primary engine is a "Tightness Filter." It continuously measures the distance between the highest high and lowest low over a lookback period.
The Logic: It compares this raw range size against the ATR multiplied by a specific threshold. If the current range is significantly smaller than the historical average volatility, the script identifies this as a "Consolidation" event and begins constructing a box.
Adaptive Thresholds: This method ensures the indicator works across all assets (Crypto, Forex, Stocks) because the definition of "tight" is relative to the asset's own volatility, not a fixed price distance.
2. Dynamic Range Expansion
Originality lies in how the script manages an active range. A consolidation phase is not static; it breathes.
The Mechanism: If price pushes the boundary of the box but remains within the consolidation logic (does not close outside with momentum), the box dynamically expands to include the new data. This prevents premature signals and accurately captures the full "churn" of the accumulation/distribution phase.
3. Signal Generation Models
The script offers two distinct ways to trade the detected ranges:
Momentum Breakouts: A signal is triggered when a candle closes decisively outside the box boundaries (plus a buffer).
Wick Reversals (Mean Reversion): The script identifies "False Breakouts" where price probes outside the range but fails to close there (leaving a long wick). If confirmed by the subsequent candle, this signals a potential reversal back to the midline.
A chart showing a highlighted consolidation box with a "Vol Break" signal triggering on the breakout.
Visualizing volatility compression followed by a confirmed momentum breakout.
A chart showing a "Wick Reversal" signal where price poked out of the box but failed to close, indicating a trap/reversal back into the range.
False Breakout Detection: The script identifies liquidity traps at the range edges.
FEATURES & SETTINGS
Preset Profiles
To make the tool instantly usable for different styles, we have included tuned preset profiles that adjust the ATR multipliers and lookback periods automatically:
Tight Ranges: For scalping on lower timeframes.
Normal Ranges: Balanced settings suitable for most intraday and short-term swing trading strategies (Default).
Swing Trading: Looser parameters for capturing multi-day consolidations.
Options Selling: Optimized to find long, sideways chop ideal for theta strategies.
The settings menu showing the "Preset" dropdown selected.
Built-in profiles allow for quick adaptation to different market environments.
Volume Confirmation
The Volume Filter: Users can enable a "Volume Spike" requirement. This checks if the breakout candle's volume is significantly higher than the average volume (e.g., > 1.7x), helping to filter out "fakeouts" that lack institutional participation.
Visual Customization
Full control over Box colors, borders, and midlines.
Toggle signals for "Wick Reversals" and standard "Breakouts" independently.
HOW TO USE & BEST PRACTICES
The Squeeze: Use this tool to identify "the calm before the storm." Long periods of consolidation (large boxes) often lead to more explosive moves.
Breakout & Retest Strategy: While the script signals the initial breakout, conservative traders often wait for price to pull back and "retest" the range extreme (Box Top/Bottom) or the Midline as support/resistance. Entering on this confirmation often provides a better risk-to-reward ratio.
Risk Management: Stop losses can be strategically placed based on your style. Aggressive traders might place stops below the entry candle, while conservative traders often place them below the opposite side of the range box to allow for volatility.
Filtering Fakeouts: We highly recommend enabling the "Confirm with Volume Spike" option in the settings. Breakouts accompanied by low volume often fail and return to the range.
Reversals: In choppy sideways markets, use the "Wick Reversal" signals to trade from the edges back toward the midline (Mean Reversion).
ALERTS
The script includes the following alert conditions:
Range Detected: Triggered when a new consolidation phase begins.
Range Breakout: Triggered when price closes outside the box.
Breakout with Volume Confirmation: Triggered only when a breakout is accompanied by a significant volume spike, allowing for filtered automated entries.
Range Reversal: Triggered on confirmed Wick Reversal setups.
⚠️ DISCLAIMER
This script is for educational and analytical purposes only. It does not constitute financial advice. Trading involves significant risk. Past performance of the logic described is not indicative of future results.
WOLFGATEWOLFGATE is a clean, session-aware market structure and regime framework designed to help traders contextualize price action using widely accepted institutional references. The indicator focuses on structure, momentum alignment, and mean interaction, without generating trade signals or predictions.
This script is built for clarity and decision support. It provides a consistent way to evaluate market conditions across different environments while remaining flexible to individual trading styles.
What This Indicator Displays
Momentum & Structure Averages
9 EMA — Short-term momentum driver
21 EMA — Structural control and trend confirmation
200 SMA — Primary regime boundary
400 SMA (optional) — Deep regime / macro bias reference
These averages are intended to help assess directional alignment, trend strength, and structural consistency.
Session VWAP (Institutional Mean)
Session-based VWAP with a clean daily reset
Default session: 09:30–16:00 ET
Uses HLC3 as the VWAP source for balanced price input
Rendered in a high-contrast institutional blue for visibility
VWAP can be used to evaluate mean interaction, acceptance, or rejection during the active session.
How to Use WOLFGATE
This framework is designed for context, not signals.
Traders may use WOLFGATE to:
Identify bullish or bearish market regimes
Evaluate momentum alignment across multiple time horizons
Observe price behavior relative to VWAP
Maintain directional bias during trending conditions
Avoid low-quality conditions when structure is misaligned
The indicator does not generate buy or sell signals and does not include alerts or automated execution logic.
Important Notes
Volume must be added separately using TradingView’s built-in Volume indicator
(Volume cannot be embedded directly into this script due to platform limitations.)
This script is intended for educational and analytical purposes only
No financial advice is provided
Users are responsible for their own risk management and trade decisions
NEURAL FLOW | The AI-Powered Regime Classifier [by @Ash_TheTrade📉 Stop Trading Blindly. Filter the Noise with AI.
Why do your favorite strategies work perfectly one week and bleed your account the next?
The answer is simple: Context.
A Moving Average crossover works in a trend but gets slaughtered in chop. RSI works in a range but fails in a strong breakout. Most indicators are "dumb"—they apply the same math regardless of the market's current reality.
I created Neural Flow to fix this.
Developed by @Ash_TheTrader, this isn't just another buy/sell arrow indicator. It is a sophisticated market Regime Classifier built on concepts derived from machine learning (Lorentzian Distance algorithms).
It doesn't just tell you where price is; it tells you what the market is doing.
🧠 The Concept: How It Works
The core idea behind this script is simple yet powerful: Don't trade unless the environment is right.
The Neural Flow algorithm acts like a veteran trader watching over your shoulder. It analyzes multiple "neurons" (data points representing momentum, volatility, and cyclicality) and compares the current price action to historical data.
By identifying what "state" the market is currently in, it paints your chart in real-time, acting as the ultimate filter for any strategy you use.
👁️ The 4 Market Regimes
The indicator instantly classifies the market into one of four distinct states, visualizing them with a full-chart background glow and candle painting:
1. 🐂 Bull Trend (Neon Green)
The market has clear upward momentum, healthy RSI, and strong trend orientation.
Action: Look for Long entries. Buy dips.
2. 🐻 Bear Trend (Neon Red)
The market has clear downward momentum and weak underlying metrics.
Action: Look for Short entries. Sell rallies.
3. 🚫 CHOP (Grey/Monochrome)
This is the most important feature. The AI has detected low volatility squeeze conditions or directionless ADX. This is where 80% of traders lose money due to fake-outs and whipsaws.
Action: DO NOT TRADE. Sit on your hands and preserve capital.
4. ⚡ Breakout Detected (Gold/Yellow)
The algorithm has detected a sudden, violent expansion in volatility (Bollinger Width explosion) following a period of chop. The direction is not yet confirmed, but a big move is imminent.
Action: Get ready. Watch for a transition into a Bull or Bear regime.
💻 The Glassmorphism Dashboard & AI Confidence
In the corner of your chart, you will find a futuristic, transparent "Glass UI" dashboard designed by @Ash_TheTrader.
It provides instant situational awareness without cluttering your view.
The AI Confidence Score:
This is your conviction meter. It calculates how aligned the various "neurons" of the algorithm are (ranging from 0% to 100%).
A Bull Trend with 40% Confidence might be weak and prone to reversal.
A Bull Trend with 85%+ Confidence indicates strong confluence across multiple data points.
Pro Tip from @Ash_TheTrader: Only take trades when the AI Confidence is above 75%.
🚀 How to Use This in Your Trading
This tool is designed to be versatile.
As a Strategy Filter (Recommended): Use your existing favorite strategy (e.g., MACD, SMC, Price Action). Before taking a trade, glance at the Neural Flow background.
Your strategy says Buy, but the background is Grey (Chop)? Skip the trade.
Your strategy says Sell, and the background is Red (Bear)? Take the trade with confidence.
As a Standalone System: Wait for the market to transition out of "Grey Chop" into a "Green Bull" or "Red Bear" regime. Confirm that the "AI Confidence" on the dashboard is high (>70%), and enter in the direction of the new trend.
⚙️ Settings & Customization
While the default settings are tuned for most markets, @Ash_TheTrader believes in flexibility:
Training Window: Adjust the sensitivity of the regime detection.
Visuals: Customize all colors to match your chart aesthetic.
Glass Dashboard: Move it, resize it, or turn it off completely.
Baseline EMA: Toggle the 50-period baseline reference line on or off to keep your charts ultra-clean.
A Note from the Author:
"Trading isn't about catching every move; it's about catching the right moves and staying safe during the noise. I built this tool to help me instantly recognize when to step on the gas and when to hit the brakes. I hope it brings clarity to your charts."
— @Ash_TheTrader
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Always manage your risk.
Session Range Control [PointAlgo]Session Range Control (SRC)
The Session Range Control (SRC) indicator provides a structured view of intraday price behavior by tracking where the current price sits within the session’s high–low range and how today’s volatility compares to the Average Daily Range (ADR). It combines range analytics, momentum context, volatility interpretation, and visual cues to help traders understand session strength and shifts in intraday conditions.
Core Concept
Every trading session forms a unique high and low. SRC continuously reads these values and calculates the Position in Range, expressed on a scale from 0% to 100%:
0% → Price at Day Low
100% → Price at Day High
50% → Mid-range equilibrium
By normalizing price into a percentage, traders can quickly interpret where market pressure is concentrated during the session.
Trend Zones and Market State
SRC divides the range into logical zones to show the likely sentiment of the session:
1. Strong Uptrend Zone (Above Threshold)
When price consistently holds above the user-defined upper threshold (e.g., 60%), the indicator marks a Strong Uptrend.
This typically reflects:
Persistent intraday buying pressure
Price acceptance near the upper part of the range
Reduced likelihood of deep pullbacks
2. Strong Downtrend Zone (Below Threshold)
When price remains below the lower threshold (e.g., 40%), SRC signals a Strong Downtrend, indicating:
Dominant intraday selling
Consistent pressure keeping price near session lows
3. Bullish / Bearish Zones
Between the midline and strong thresholds, SRC displays softer trend zones:
Above 50% = Bullish Zone
Below 50% = Bearish Zone
These zones help classify whether price is trending, balanced, or drifting.
4. Neutral Territory
When price hovers around the mid-level without conviction, the indicator treats it as a neutral or undecided phase.
Signal Logic :
SRC includes built-in momentum shift signals based on range transitions:
Long Signal
Triggered when price crosses upward through 50%, often showing:
A shift from intraday weakness to strength
Buyers gaining control of the session
Short Signal
Triggered when price crosses downward through 50%, suggesting:
Loss of intraday strength
Sellers taking control
These signals help highlight potential turning points inside the session.
Extreme Levels :
SRC highlights the top and bottom 10% of the range:
> 90% = Extreme High (Overbought intraday condition)
< 10% = Extreme Low (Oversold intraday condition)
These conditions can be useful for identifying overextended movements or potential reaction zones.
ADR Comparison and Volatility Context :
The indicator also measures how today’s price range compares to the Average Daily Range (ADR):
Range Expanding: Today’s range is significantly larger than the ADR
Indicates heightened volatility
Often associated with trending or breakout environments
Range Compressing: Today’s range is much smaller
Suggests low volatility
Common before breakout phases
Characteristic of consolidation or balanced markets
This volatility context helps traders assess whether the session is behaving within normal boundaries or deviating significantly.
Dashboard Overview :
When enabled, the dashboard summarizes key intraday metrics in a structured table:
Trend status (Strong Uptrend, Strong Downtrend, Bullish, Bearish, Neutral)
Range position (%)
Signal status (Long Cross, Short Cross, Extreme High/Low, or None)
Day range calculation
Range vs ADR (%)
Day High / Day Low
Current price level
Simplified action label based on current conditions
This provides a quick reference system to interpret both trend and volatility at a glance without analyzing the full chart visually.
Visual Elements
SRC includes:
Colored dynamic plot for easy trend recognition
Horizontal reference lines at key levels (0%, 50%, 100%, strong-trend thresholds)
Background shading during extreme zone conditions
A separate ADR comparison plot
These visuals ensure the indicator remains intuitive regardless of chart style or timeframe.
Alerts
The script includes alert conditions for:
Long cross
Short cross
Strong trend detection
Extreme high / extreme low
These allow users to automate notifications during key market events without manually monitoring the chart.
Customization Options
Users can configure:
ADR length
Strong trend thresholds
Dashboard visibility
Dashboard position on chart
This makes SRC adaptable to different trading instruments and intraday styles.
Usage Notes
Works best on intraday timeframes where session boundaries are clearly defined.
Designed for analytical interpretation—trend bias, volatility phase, and range structure.
Can complement other tools such as moving averages, volume, or market structure analysis.
Disclaimer :
This indicator is intended for chart analysis and educational purposes only.
It does not generate financial, investment, or trading advice.
Users should validate signals with additional research and apply proper risk management.
See Where The Banks Are Hunting: Liquidity X-Ray[@Ash_TheTrader]# 🛑 Stop Being "Liquidity." Start Seeing the Trap.
### Introducing: **Liquidity X-Ray **
How many times have you placed your stop-loss just below a perfect support level, only to watch a single candle wick down, trigger your stop, and immediately reverse toward your original target?
You weren't unlucky. You were targeted.
Welcome to the world of Smart Money Concepts (SMC). In the institutional game, your stop loss isn't protection—it's fuel. The market makers need liquidity to fill huge orders, and they find it clustered at obvious swing highs and lows.
I developed the **Liquidity X-Ray** to stop guessing where these traps are laid. This isn't just another support and resistance tool; it’s a dynamic, living heatmap of market psychology.
---
### 🧠 The Philosophy: The "Time-Decay" Algorithm
Standard indicators draw static lines that clutter your chart. The **Liquidity X-Ray** is different. It understands that *time* is a crucial factor in building liquidity pressure.
I have engineered a unique **Time-Decay Intensity** feature into this script. It visualizes the density of resting orders based on how long a level has remained untouched.
#### The Visual Language:
* **👻 The Ghosts (New Zones):** When a new swing high or low forms, a faint, transparent zone appears. It’s watching.
* **💡 The Neon Traps (Mature Zones):** As time passes and price fails to revisit that level, the zone solidifies. It becomes brighter, more opaque, and intensely neon. **This is your signal.** A bright neon zone means a massive pile of retail stop-losses has accumulated there. The Banks *need* to visit it.
* **💥 The Sweep Explosion:** When price finally pushes into a mature zone, the script detects the "Liquidity Grab." The box flashes bright white, cuts off immediately, and prints a **💥 LIQ GRAB** label on your chart. The trap has been sprung.
---
### ⚙️ Key Features & Cyberpunk Aesthetics
This tool is designed to look incredible on dark charts while providing institutional-grade data.
* **Dynamic Buyside/Sellside Heatmaps:** Clear visual distinction between where shorts are trapped (Neon Red/Pink) and where longs are trapped (Neon Cyan).
* **Smart Memory Management:** The script intelligently manages old zones to ensure your chart *never* lags, regardless of the timeframe.
* **Volume Filtering (Optional):** You can choose to only plot zones formed on high-volume pivot points, ensuring you are only watching significant market structures.
* **Instant Alerts:** Set alerts for the "Sweep Explosion" so you never miss a major reversal setup.
---
### 🎯 How to Trade the X-Ray
**Do NOT trade the breakout of these zones.** These are traps.
1. **Identify the Target:** Look for the oldest, brightest, most solid neon zones on your timeframe (H1 and H4 are powerful).
2. **Wait for the Hunt:** Be patient. Let price aggressively move toward the zone.
3. **The Explosion:** Wait for the candle to wick into the zone and trigger the **💥 LIQ GRAB** visual.
4. **The Reversal Entry:** Once the liquidity is taken, look for lower timeframe confirmation (like a Change of Character or engulfing candle) in the *opposite* direction. You are now trading *with* the smart money recovery, not *against* their stop hunt.
---
### Author's Note
Trading is about information asymmetry. The institutions have seen your stops for decades. It’s time you started seeing where they are hunting.
Trade smart, stay safe.
— **@Ash_TheTrader**
AlgoZ Smart Divergence [Trend Filtered]AlgoZ Smart Divergence is a precision entry tool designed to catch market reversals by analyzing Volume Divergence combined with Multi-Timeframe Trend Filtering. Unlike standard divergence indicators that signal on every minor price fluctuation, this script uses a strict set of filters to only present high-probability trade setups that align with the broader market trend.
This is the Free Edition of the AlgoZ Suite, focused on providing clean, non-repainting Buy and Sell signals based on institutional volume flow.
How It Works The script operates on a 3-step validation process:
Volume Divergence:
It detects anomalies where volume spikes relative to price action (e.g., Price makes a Lower Low, but Volume hits a Higher High).
HTF Trend Painting:
It analyzes a Higher Timeframe (Default: 3 Hours) to determine the macro trend. If the 3H trend is Bullish, the candles turn Green. If Bearish, they turn Red.
Color Match Filtering:
The script includes a smart filter that blocks signals that go against the trend. You will only see BUY signals when the candles are Green (Uptrend) and SELL signals when the candles are Red (Downtrend).
Key Features
Volume Divergence Engine:
Identifies hidden accumulation and distribution zones.
HTF Trend Coloring:
Automatically paints your chart based on Higher Timeframe breakouts (Default: 3-Hour Trend).
Smart Signal Filtering:
Toggles are available to "Only Show Signals Matching Candle Color," ensuring you never trade against the momentum.
EMA Trend Filter:
Includes a built-in 10-period EMA filter to further refine entries.
Volatility Filters:
Optional RSI and ADX filters are included to avoid trading during low-volatility "chop."
How to Use
For Longs (Buys):
Wait for the candles to turn Green (indicating the 3-Hour trend is up) and look for a BUY label. The price must also be above the 10 EMA (if enabled).
For Shorts (Sells):
Wait for the candles to turn Red (indicating the 3-Hour trend is down) and look for a SELL label.
Risk Management:
This script is designed to catch reversals. Always place your Stop Loss below the recent swing low (for buys) or above the swing high (for sells).
Settings
Higher Timeframe:
Default is set to 3 Hours (180 minutes). You can adjust this to 1 Day or 4 Hours depending on your trading style.
EMA Length:
Default is 10.
Color Match Filter:
On by default.
NYSE Open Close Session Map by o0psiNYSE Open Close Session Map by o0psi
This indicator highlights the regular US cash session window (default 09:30–16:00 New York time) and makes the key session bars obvious on the chart.
What it shows
A marker on the session OPEN bar
A marker on the session CLOSE bar (last in-session candle)
Optional background highlight for the full session window
Optional labels for the session high and session low bars (based on intraday price during the session)
How it works
The script detects bars inside the selected session window (New York timezone). It anchors OPEN on the first in-session bar, updates the session high/low while the session is active, then anchors CLOSE on the final in-session bar and labels the high/low bars where they occurred.
Notes
Session range precision depends on chart timeframe (lower timeframes capture extremes more precisely).
This is a charting/visualization tool and does not provide trading advice.
