Premarket High/Low (Today + Yesterday)Plots Premarket High and Low (04:00–09:30 ET) for the current day and previous day.
Designed for intraday traders who use premarket structure as key levels.
Indicadores y estrategias
Stochastic RSI with DivergencesStochastic RSI with Divergences - Enhanced Edition
DESCRIPTION
- This is an enhanced version of the classic Stochastic RSI indicator with divergence detection, originally created by @fskrypt (Log RSI), @RicardoSantos (Divergences), @JustUncleL (edits), and @NeoButane (2018 modifications). Full credit to these talented developers for the foundational work.
ENHANCEMENTS & MODIFICATIONS
- This version adds several user-requested features for improved customization and clarity:
- Divergence Signal Labels: Regular divergence signals now display "Buy" (green) and "Sell" (red) instead of generic "R" markers. Hidden divergences show "H-Buy" and "H-Sell" for clearer identification.
- Customizable Colors: User-adjustable colors for both K line (default: blue) and D line (default: orange) allow traders to match their chart themes.
- Adjustable Transparency: Separate opacity controls for the K/D fill shading (default: 70%) and background zones (default: 98%) provide precise visual customization without overwhelming the chart.
- Optional Divergence Lines: Toggle the green and red divergence connecting lines on/off while keeping the Buy/Sell labels visible, reducing visual clutter when desired.
- Organized Settings: All inputs are logically grouped (StochRSI Settings, Divergence Settings, Colors, Opacity) for easier navigation and configuration.
HOW IT WORKS
- The indicator identifies regular and hidden divergences between price action and the Stochastic RSI oscillator:
- Regular Bullish Divergence (Buy): Price makes lower lows while StochRSI makes higher lows - potential reversal signal
- Regular Bearish Divergence (Sell): Price makes higher highs while StochRSI makes lower highs - potential reversal signal
- Hidden Bullish Divergence (H-Buy): Price makes higher lows while StochRSI makes lower lows - trend continuation signal
- Hidden Bearish Divergence (H-Sell): Price makes lower highs while StochRSI makes higher highs - trend continuation signal
- The Stochastic RSI oscillates between 0-100, with readings above 80 indicating overbought conditions and below 20 indicating oversold conditions.
SETTINGS
StochRSI Settings
RSI Length: 14 (default)
Stoch Length: 14 (default)
K Smoothing: 3 (default)
D Smoothing: 3 (default)
Log Scale: Optional logarithmic transformation
Average K & D: Optional blending of both lines
Divergence Settings
Show Divergences: Toggle all divergence signals
Show Hidden Divergences: Toggle H-Buy/H-Sell signals
Show Divergence Lines: Toggle connecting lines between divergence points
Show Divergences Channel: Display fractal channels
Colors
K Line Color: Customize the fast line
D Line Color: Customize the slow line
Opacity
- Background Opacity: Control 20-80 zone shading (0-100)
K/D Fill Opacity: Control area between K and D lines (0-100)
USE CASES
- Momentum trading: Identify overbought/oversold conditions
Divergence trading: Spot potential reversals and trend continuations
Multi-timeframe analysis: Confirm signals across different timeframes
Trend confirmation: Use with other indicators for confluence
CREDITS
- Original concept and code: @fskrypt (Log RSI), @RicardoSantos (Divergence detection), @JustUncleL (modifications), @NeoButane (2018 updates)
Enhanced by: NPR21 (User interface improvements, label modifications, transparency controls)
BB37BB37
WHAT IS SUPPORT AND RESISTANT ?
Support and resistance are fundamental concepts in technical analysis used to identify price levels on charts that are likely to act as barriers, preventing the price from moving in a certain direction.
Support:
Definition: Support refers to a price level at which an asset tends to stop falling because demand is strong enough to prevent further declines. It acts as a "floor" for the price, where buyers step in to buy the asset, causing the price to rebound or stabilize.
Example: If a stock is trading at $50 and repeatedly fails to drop below that level, $50 would be considered a support level.
Resistance:
Definition: Resistance is the opposite of support. It refers to a price level at which selling pressure is strong enough to prevent the price from rising further. It acts as a "ceiling," where sellers are more willing to sell, causing the price to reverse or consolidate.
Example: If the price of an asset repeatedly fails to rise above $100, $100 would be considered a resistance level.
In Practice:
Support and resistance levels are used by traders to make decisions about buying and selling. If the price approaches support, traders may see it as a potential buying opportunity. If the price approaches resistance, they may consider selling or shorting the asset.
If price breaks through a support or resistance level, it can signal a significant price movement. For example, a price moving above resistance may indicate an uptrend, while a price falling below support could indicate a downtrend.
These levels are not always exact and may vary slightly, often being identified as areas rather than precise lines on a chart. They are key tools for understanding market psychology and price behavior.
HTR Reclaim Hunter
🏹 HTR Reclaim Hunter
(1H Execution + Zones + 4H Bias)
HTR Reclaim Hunter is a trend-continuation indicator designed to identify high-probability pullback & reclaim entries using multi-timeframe bias, EMA structure, and dynamic reclaim zones.
This indicator is best suited for swing trading and intraday continuation setups, especially in trending markets.
🔑 CORE CONCEPT
Trade WITH the higher-timeframe trend.
Enter on pullbacks.
Confirm strength on reclaim.
HTR Reclaim Hunter combines:
4H trend bias
1H execution logic
EMA reclaim structure
Supply & demand reclaim zones
Built-in SL / TP visualization
🧭 RECOMMENDED SETTINGS
Best timeframe: 1H (designed for this)
Markets: Stocks, Crypto, Futures, Forex
Works best in: Trending markets (not chop)
📊 WHAT YOU SEE ON THE CHART
🔹 EMA Structure
EMA 50 (green): Trend filter
EMA 9 (colored): Momentum & pullback guide
🔹 Reclaim Zones
Green boxes: Support / demand zones
Red boxes: Resistance / supply zones
These zones highlight areas where price previously reacted and may reclaim.
🔹 Trade Signals
LONG label: Bullish reclaim setup
SHORT label: Bearish reclaim setup
🔹 Risk Levels (Optional)
Stop Loss (Red)
TP1 (Orange)
TP2 (Green)
🟢 LONG TRADE RULES
A LONG signal appears when ALL of the following are true:
4H trend is bullish
Price above 4H EMA 50
EMA 50 is rising
1H trend is bullish
Price above EMA 50
EMA 9 above EMA 50
Pullback occurs
Price pulls back below EMA 9
Reaches or taps EMA 50
Reclaim confirmation
Strong bullish candle closes back above EMA 9
Candle is not a doji
Signal prints
A green LONG label appears
👉 This indicates a trend continuation entry, not a reversal.
🔴 SHORT TRADE RULES
A SHORT signal appears when ALL of the following are true:
4H trend is bearish
Price below 4H EMA 50
EMA 50 is falling
1H trend is bearish
Price below EMA 50
EMA 9 below EMA 50
Pullback occurs
Price pulls back above EMA 9
Reaches or taps EMA 50
Reclaim confirmation
Strong bearish candle closes back below EMA 9
Candle is not a doji
Signal prints
A red SHORT label appears
🛑 STOP LOSS & TAKE PROFIT
When enabled, the indicator automatically plots:
Stop Loss
Based on recent swing high / low
TP1
1R (1× risk)
TP2
Configurable runner target (default 2R)
These are visual guides only — always manage risk according to your plan.
⚠️ IMPORTANT NOTES
This indicator is not meant for ranging or choppy markets
Best results occur when:
EMA 50 is clearly sloped
Price respects reclaim zones
Always confirm with:
Market structure
Volume
Higher-timeframe context
🔔 ALERTS
Alerts are available for:
HRH LONG
HRH SHORT
Alerts trigger on confirmed reclaim signals, not on every pullback.
❗ DISCLAIMER
This indicator is for educational purposes only.
It does not provide financial advice.
Always test and manage risk appropriately.
🏹 FINAL TIP
HTR Reclaim Hunter works best when you are patient.
Skip chop.
Wait for clean trends.
Hunt only high-quality reclaims.
If you want, I can also:
Write a short description version
Create a “Quick Start” section
Add example captions for screenshots
Help you choose TradingView tags & category
trend-following
ema reclaim
pullback strategy
multi-timeframe
price action
Order Blocks Volume Delta 3D | Flux ChartsGENERAL OVERVIEW:
Order Blocks Volume Delta 3D by Flux Charts is a rule-based order block and volume delta visualization tool. It detects bullish and bearish order blocks using a profile-of-price approach: the indicator finds the most actively traded price area (Point of Control, or POC) between a swing high/low and the Break of Structure (BOS), then anchors the order block to the earliest still-valid candle that traded through that POC band. From there, it tracks all candles that continue to interact with that zone and overlays both 2D and 3D volume delta views directly inside the order block.
Unlike traditional order block tools that simply use candle bodies or wicks, this indicator is volume-aware. It lets you optionally pull volume from a lower timeframe feed (for example, using 1-minute data while watching a 5-minute chart) to build a much more accurate picture of how buyers and sellers actually traded inside the zone. This makes every block not just a price box, but a volume story: which side dominated, where, and by how much.
All order blocks printed by this indicator are confirmed: BOS and retests are evaluated strictly on closed candles. Nothing is drawn or alerted on partially formed bars, which helps avoid repaint-style flicker and keeps the signals clean and stable.
What is the theory behind the indicator?:
The core idea behind Order Blocks Volume Delta 3D is that not all price levels inside an order block are equal. Some prices are barely touched, while others act like magnets where candles repeatedly trade and heavy volume passes through.
The indicator first finds a swing high or swing low, waits for a clear Break of Structure (BOS), then scans the candles between the swing point and the BOS to find the price level that was touched the most. That level is treated as the POC.
From all candles in the swing-to-BOS range that interact with this POC band, the indicator looks for the earliest candle that is not already mitigated and uses that as the anchor candle for the order block:
The top of the block equals the anchor candle’s high (for a bearish OB) or the top of its wick zone.
The bottom equals the anchor candle’s low (for a bullish OB) or the bottom of its wick zone.
This “earliest valid POC-touching candle” rule makes it easier to visualize how price and volume developed from the very start of a meaningful zone, while ignoring POC touches that are already fully mitigated by the time the structure is confirmed. On top of that, each candle is split into bullish and bearish volume. If you choose a lower timeframe volume input, the tool aggregates lower timeframe candles into your chart timeframe, giving a more granular bull-versus-bear breakdown for each bar. The result is
an order block that not only shows where price moved but also which side pushed it, how aggressively, and how that balance shifted over time.
ORDER BLOCKS VOLUME DELTA 3D FEATURES:
The Order Blocks Volume Delta 3D indicator includes 4 main features:
1. Order Blocks
2. Volume Delta
3. 3D Visualization
4. Alerts
ORDER BLOCKS:
🔹What is an Order Block
An order block is a price zone where a clear displacement move began after liquidity was taken. It usually forms around the last consolidation or cluster of candles before price breaks structure with a strong move.
In this indicator, order blocks are defined as structured zones that:
Begin at the earliest unmitigated candle that interacted with the most-touched price level (POC) between swing and BOS.
Extend through the full wick range of that anchor candle.
Stretch forward in time, tracking how price continues to trade through, respect, retest, or invalidate the zone.
Are only printed once the BOS is fully confirmed on closed candles (confirmed order blocks only).
Example of bullish and bearish order blocks anchored at the earliest unmitigated candle in the POC zone:
🔹How are Order Blocks detected
The indicator uses a step-by-step, rules-based process to detect bullish and bearish order blocks. The logic is designed to match discretionary Smart Money concepts but with strict, repeatable rules.
Step 1: Detect swing highs and swing lows
Swing High: a candle whose high is higher than the highs of surrounding candles.
Swing Low: a candle whose low is lower than the lows of surrounding candles.
The Swing Length input controls how many candles are checked to the left and right.
Example of swing high and swing low detection:
Step 2: Confirm Break of Structure (BOS)
Once a swing is confirmed, the indicator waits for price to break past that swing:
Bullish BOS: price closes above a previous swing high.
Bearish BOS: price closes below a previous swing low.
To avoid “live” flicker, BOS logic is evaluated based on the previous closed candle. The order block is only confirmed once the BOS candle has fully closed and the next bar has opened. This is one of the reasons the script only shows confirmed, non-repainting order blocks.
Example of bullish BOS and bearish BOS:
Step 3: Build the POC range between swing and BOS
Between the swing candle and the BOS candle, the indicator:
Scans all candles in that range.
Tracks every price level touched using binning (POC bins).
Counts how many times each price band was touched by candle wicks.
The bin with the highest touch count becomes the POC band. This is where price traded most often, not necessarily where volume was highest.
Example of the POC band between swing and BOS.
Step 4 – Anchor the order block to the earliest valid POC candle
From all candles in the swing-to-BOS range, the indicator finds the earliest candle whose high/low overlaps the POC band and whose zone is not already mitigated. That candle becomes the anchor candle for the order block:
For a bearish OB, the block spans the anchor candle’s full wick range, with its top at the high.
For a bullish OB, the block spans the anchor candle’s full wick range, with its bottom at the low.
By requiring the anchor to be the earliest unmitigated interaction with POC, the script avoids building blocks from price action that has already been fully traded through and is less relevant.
Step 5: Extend and manage the order block
Once created, the block:
Extends to the right by a configurable number of candles (Extend Zones).
Continues until it is invalidated by wick or close, depending on the chosen method.
Can show retest labels when price revisits the zone after creation.
Is included or excluded from display depending on the Show Nearest and Hide Invalidated Zones settings.
Example of active and invalidated OB.
🔹Order Block Settings
◇ Swing Length
Swing Length controls how sensitive swing highs and lows are.
Lower Swing Length: Swings form more frequently, which leads to more frequent BOS events and order block formations.
Higher Swing Length: Only larger, more meaningful swings are detected, which leads to less frequent BOS events and less order block formations.
◇ Invalidation
Invalidation determines how an order block is considered “mitigated” or no longer valid.
Wick: For bullish OBs, if price wicks completely through the bottom of the zone, the order block is invalidated. For bearish OBs, if price wicks completely through the top, the order block is invalidated.
Close: For bullish OBs, the block is invalidated only when a candle closes below the bottom. For bearish OBs, it is invalidated only when a candle closes above the top.
Example of wick invalidation:
Example of close invalidation:
◇ Show Nearest
Show Nearest limits how many active order blocks are displayed based on proximity to current price. For example, a value of 2 will display only the two nearest bullish order blocks and two nearest bearish order blocks.
Chart with Show Nearest set to 3:
◇ Extend Zones
Extend Zones define how many candles forward each order block should project beyond the right most candle on the chart.
Chart with Extend Zones set to 10:
◇ Retest Labels
When enabled, the indicator prints labels on every clean retest of an active order block, as long as that block remains valid. Key points:
A retest label is only printed once the retest candle has fully closed – you always see confirmed retests, not intrabar tests.
Retest labels are positioned on the actual retest candle so you can visually see which bar interacted with the zone.
In addition, if multiple retests occur in quick succession, the indicator applies a built-in three-candle buffer between retests. That means only the first valid retest within each three-bar window is labeled (and can trigger an alert), helping to reduce clutter while still highlighting meaningful interactions with the zone.
Example of retest labels on bullish and bearish order blocks.
◇ Hide Invalidated Zones
Hide Invalidated Zones controls whether mitigated/invalidated blocks stay drawn.
Enabled: Only currently valid, unmitigated order blocks are shown (subject to Show Nearest)
Disabled: Both active and invalidated order blocks are displayed.
VOLUME DELTA:
🔹What is Volume Delta
Volume delta measures the difference between buying and selling volume. Instead of only showing “how much volume traded”, it separates volume into bullish and bearish components.
In this indicator:
Bullish volume = volume from candles (or lower timeframe candles) that closed higher.
Bearish volume = volume from candles that closed lower.
Delta % shows how dominant one side was compared to the total.
Example of bullish and bearish order blocks with volume delta and total volume.
🔹How is Volume Delta calculated?
The indicator uses a flexible, timeframe-aware volume engine.
1. Choose a Volume Delta Timeframe.
If the selected timeframe is equal to or higher than the chart timeframe, the indicator simply uses chart-volume per candle.
If the selected timeframe is lower than the chart timeframe (for example, 1‑minute volume on a 5‑minute chart), the indicator pulls all lower timeframe candles for each chart bar and sums them.
2. Split each bar into bull and bear volume.
For each contributing candle:
If close > open → its volume is added to bullish volume.
If close < open → its volume is added to bearish volume.
If close == open → its volume is split evenly between bullish and bearish.
3. Aggregate for each order block.
For each order block:
The indicator loops once from the swing candle to the BOS candle.
It records every candle that touches the POC band.
For each touching candle, it adds its bull and bear volumes (either directly from chart candles or from aggregated lower timeframe candles).
Total volume = bullish volume + bearish volume
Delta % = (bullish volume or bearish volume / total volume ) * 100, depending on which side is dominant.
🔹Volume Delta Settings:
◇ Display Style
Display Style controls how the volume delta is drawn inside each order block:
Horizontal:
Bullish and bearish fills extend horizontally from left to right.
The filled strip sits along the base of the block, with a bull vs bear gradient.
Vertical:
Bullish and bearish fills stretch vertically inside the zone.
The bullish percentage controls how much of the block is filled with the “dominant” color.
Example of Horizontal display style.
Example of Vertical display style.
◇ Volume Delta Timeframe
Volume Delta Timeframe tells the indicator whether to use chart volume or lower timeframe volume. When set to a lower timeframe, the indicator aggregates all lower timeframe candles that fall inside each chart bar, splitting their volume into bullish and bearish components before summing.
Using a lower timeframe:
Increases precision for how volume truly behaved inside each bar.
Helps reveal hidden absorption and aggressive flows that a higher timeframe candle might hide.
Example of volume delta based on chart timeframe.
Example of volume delta based on lower timeframe than chart(same OB as above)
◇ Display Total Volume
When enabled, the indicator prints the total volume for each order block as a label positioned inside the zone, near the bottom-right corner. This total is the sum of bullish and bearish volume used in the delta calculation and gives you a quick sense of how “heavy” the trading was in that block compared to others.
Example of total volume label inside multiple order blocks.
◇ Show Delta %
Show Delta % draws a small text label on the strip of the block that displays the dominant side’s percentage. For example, a bullish block might show “72%” if 72% of all volume inside that POC band came from bullish volume.
Example of Delta %:
3D VISUALIZATION:
The 3D Visualization feature turns each order block into a 3D plot.
🔹What the 3D Visualization does:
Wraps the order block with side faces and a top face to create a 3D bar effect.
Uses delta percentages to tilt the top face toward the dominant side.
Projects blocks into the future using Extend Zones, making the 3D blocks visually stand out.
🔹How it works:
The front face of the OB shows the standard 2D zone.
The side face extends forward in time based on the 3D depth setting.
The top face is angled depending on the Display Style and bull vs bear delta, making strong bullish blocks “rise” and strong bearish blocks “sink”.
🔹How the 3D depth setting affects visuals
Lower 3D depth:
Shorter side faces.
Subtle 3D effect.
Higher 3D depth:
Longer side faces projecting further into the future.
Stronger 3D effect that visually highlights key zones.
Example of lower 3D depth:
Example of higher 3D depth:
ALERTS:
The indicator supports alert conditions through TradingView’s AnyAlert() engine, allowing you to set alerts for the following:
New Bullish Order Block formed
New Bearish Order Block formed
Bullish OB Retest
Bearish OB Retest
Important alert behavior:
Order block alerts only fire when a new block is confirmed (after BOS closes and the next bar opens).
Retest alerts only fire when a retest candle has completely finished, matching the behavior of the visual retest labels.
IMPORTANT NOTES:
3D faces for order blocks are built using polylines. In some situations, especially when an order block’s starting point (its left edge) is beyond the chart’s left-most visible bar, the top 3D face may appear slightly irregular, skewed, or incomplete. This is purely a drawing limitation related to how the chart engine handles off-screen polyline points. Once the starting point of that order block comes into view (by zooming out or scrolling back), the 3D top face corrects itself and the visual becomes fully consistent. This issue affects only the 3D top face drawing, not the actual order-block box itself. The underlying zone, prices, and volume calculations remain accurate at all times.
If all conditions are met to create a new order block but the resulting zone would overlap an existing active order block, the new block is intentionally not created. A built-in guard prevents overlapping active zones to keep the structure clean and easier to interpret.
3D face drawing is implemented using an adaptive polyline method, which can be relatively calculation-heavy on certain symbols, timeframes, or chart histories. In some cases this may lead to calculation timeout error from TradingView.
UNIQUENESS:
This indicator is unique because it:
Anchors each order block to the earliest unmitigated candle that traded through the most-touched POC band between swing and BOS, rather than a generic “last up/down candle” or a random volume spike.
Builds a dedicated volume engine that can pull either chart timeframe volume or aggregated lower timeframe volume, then splits it into bull and bear components.
Adds 3D visualization on top of standard zones, turning each OB into a visually weighted slab rather than a flat rectangle.
Provides clean toggles (Show Nearest, Hide Invalidated Zones, Extend Zones, Display Style, Delta %, and total volume labels) so you can dial the indicator from extremely minimal to fully detailed, depending on your trading workflow.
Combined, these features make the indicator not just an order block plotter, but a complete volume‑informed structure tool tailored for traders who want to see where price actually traded and whether bulls or bears truly controlled the move inside each order block.
TBSTurtle Soup Body Pattern
The Turtle Soup Body is a price action pattern derived from the classic Turtle Soup setup, designed to identify false breakouts beyond recent highs or lows, with a strong emphasis on the candle body close.
This pattern occurs when price briefly breaks above a recent swing high (or below a recent swing low), triggering breakout traders, but then fails to sustain the move. Instead of focusing only on wicks, the Turtle Soup Body setup requires the candle body to close back inside the previous range, signaling rejection and loss of breakout momentum.
Key characteristics of the Turtle Soup Body pattern include:
A clearly defined recent high or low (typically a 20-period high/low)
Price breaks the level intraday, creating a false breakout
The candle body closes back below the high (for short setups) or above the low (for long setups)
Confirmation that market participants are trapped on the wrong side of the move
The Turtle Soup Body pattern is commonly used as a mean-reversion or reversal setup, offering tight stop-loss placement and favorable risk–reward ratios. It is especially effective in ranging or overextended market conditions and can be applied across multiple timeframes in the Forex market.
NSDT LatticeThis script automatically detects the Open price once the Futures markets open (6PM Eastern Time) and plots Support/Resistance levels based on the "Ticks Between Levels" that the trader enters in the settings.
The trader can also chose to set their own Custom Start Price should they wish to. For example: If they want to use the New York session Open price (for RTH) instead of the Asia session Open price (ETH).
You can change the colors and thickness of the lines, as well as the numbers of levels plotted.
Laguerre Timeframe OscillatorLaguerre Timeframe Breadth Oscillator
Multi-timeframe × multi-gamma Laguerre breadth model
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Usage Notes
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• This is a regime & consensus indicator, not a trigger
• Best used for trend validation and risk filtering
• Extreme values tend to persist during strong regimes
This indicator answers a single question:
“Out of 198 independent Laguerre filters, how many are currently rising?”
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Concept
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Using Laguerre polynomials, we aggregate price behavior across:
• 11 explicit timeframes (1-minute → 1-day)
• 18 gamma responsiveness levels (0.10 → 0.95)
This produces 198 independent Laguerre curves.
The final oscillator is NOT price.
It represents a directional consensus across timescales and smoothing sensitivities.
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Laguerre Filter Mathematics
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For each Laguerre line i:
L0ᵢ(t) = (1 − γᵢ) · x(t) + γᵢ · L0ᵢ(t−1)
L1ᵢ(t) = −γᵢ · L0ᵢ(t) + L0ᵢ(t−1) + γᵢ · L1ᵢ(t−1)
L2ᵢ(t) = −γᵢ · L1ᵢ(t) + L1ᵢ(t−1) + γᵢ · L2ᵢ(t−1)
L3ᵢ(t) = −γᵢ · L2ᵢ(t) + L2ᵢ(t−1) + γᵢ · L3ᵢ(t−1)
Smoothed output:
Yᵢ(t) = ( L0ᵢ + 2·L1ᵢ + 2·L2ᵢ + L3ᵢ ) / 6
This weighted sum smooths noise while preserving phase better than a traditional EMA.
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Gamma Responsiveness
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Gamma controls responsiveness vs stability:
0.10 — Very fast, noisy
0.40 — Momentum-sensitive
0.70 — Trend-stable
0.95 — Very slow, structural
Each timeframe is evaluated across all gamma levels.
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Timeframes Used (11)
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Minutes: 1, 3, 5, 10, 15, 30, 45
Hours: 1, 2, 4
Days: 1
────────────────────────
Direction Test
────────────────────────
Each Laguerre line votes “up” or “down”:
Iᵢ(t) = 1 if Yᵢ(t) > Yᵢ(t−1)
Iᵢ(t) = 0 otherwise
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Breadth Calculation
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greenCount(t) =
I₁(t) + I₂(t) + I₃(t) + … + I₁₉₈(t)
Total number of rising Laguerre filters.
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Centered Breadth Oscillator
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oscRaw(t) = greenCount(t) − 99
(99 = half of 198; zero represents balanced breadth)
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Smoothing & Amplification
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EMA smoothing:
oscSmooth(t) = EMA₁₀₀(oscRaw)
Extreme emphasis:
oscExtreme(t) = 2 · oscSmooth(t)
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Clamped Final Output
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osc(t) = max( −99 , min( 99 , oscExtreme(t) ) )
Range:
• −99 → all filters falling
• 0 → mixed / neutral
• +99 → all filters rising
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Optional Probabilistic Interpretation
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p(t) = greenCount(t) / 198
Interpretable as the probability of upward directional alignment.
Reach out on Discord if you need further guidance. - Coño Vista
RSI Trend Authority [JOAT]RSI Trend Authority - VAR-RSI with OTT Trend Detection System
Introduction
RSI Trend Authority is an open-source overlay indicator that combines Variable Index Dynamic Average (VAR) smoothed RSI with the Optimized Trend Tracker (OTT) to create a complete trend detection and signal generation system. Unlike traditional RSI which oscillates in a separate pane, this indicator scales the RSI to price and overlays it directly on your chart, making trend analysis more intuitive.
The indicator generates clear BUY and SELL signals when the smoothed RSI crosses the OTT trailing stop line, providing actionable entry points with trend confirmation.
Originality and Purpose
This indicator is NOT a simple mashup of RSI and moving averages. It is an original implementation that transforms RSI into a trend-following overlay system:
Why VAR Smoothing? Traditional RSI is noisy and produces many false signals. The Variable Index Dynamic Average (VAR) is an adaptive smoothing algorithm based on the Chande Momentum Oscillator principle. It adjusts its smoothing factor based on market conditions - responding quickly during trends and smoothing out during choppy markets. This creates an RSI that filters noise while preserving genuine momentum shifts.
Why OTT Trailing Stop? The Optimized Trend Tracker (OTT) is a percentage-based trailing stop mechanism that only moves in the direction of the trend. When VAR-RSI crosses above OTT, a bullish trend is confirmed; when it crosses below, a bearish trend is confirmed. This provides clear, actionable signals rather than subjective interpretation.
Price Scaling Innovation: By scaling RSI (0-100) to price using the formula (RSI * close / 50), the indicator overlays directly on the price chart. This allows traders to see how momentum relates to actual price levels, making trend analysis more intuitive than a separate oscillator pane.
ATR Boundaries: Optional volatility-based boundaries show when price is extended relative to its normal range, helping identify potential reversal zones.
How the components work together:
VAR smoothing removes RSI noise while preserving trend information
OTT provides a dynamic trailing stop that generates clear crossover signals
Price scaling allows direct overlay on the chart for intuitive analysis
ATR boundaries add volatility context for profit target estimation
Core Components
1. VAR-RSI (Variable Index Dynamic Average RSI)
The foundation of this indicator is the VAR smoothing algorithm applied to RSI. VAR is an adaptive moving average that adjusts its smoothing factor based on the Chande Momentum Oscillator principle:
f_var_calc(float data, int length) =>
int a = 9
float b = data > nz(data ) ? data - nz(data ) : 0.0
float c = data < nz(data ) ? nz(data ) - data : 0.0
float d = math.sum(b, a)
float e = math.sum(c, a)
float f = nz((d - e) / (d + e))
float g = math.abs(f)
float h = 2.0 / (length + 1)
float x = ta.sma(data, length)
This creates an RSI that:
Responds quickly during trending conditions
Smooths out during choppy, sideways markets
Reduces false signals compared to raw RSI
2. OTT (Optimized Trend Tracker)
The OTT acts as a dynamic trailing stop that follows the VAR-RSI:
In uptrends, OTT trails below the VAR-RSI line
In downtrends, OTT trails above the VAR-RSI line
The OTT Percent parameter controls how closely it follows
When VAR-RSI crosses above OTT, a bullish trend is confirmed. When VAR-RSI crosses below OTT, a bearish trend is confirmed.
3. Price Scaling
The RSI (0-100 scale) is converted to price scale using:
float scaleFactor = close / 50.0
float varRSIScaled = varRSI * scaleFactor
This allows the indicator to overlay directly on price, showing how momentum relates to actual price levels.
Visual Components
VAR-RSI Line (Cyan/Magenta)
The main indicator line with gradient coloring:
Cyan gradient when RSI is above 50 (bullish)
Magenta gradient when RSI is below 50 (bearish)
Line thickness of 3 for clear visibility
OTT Line (Yellow Circles)
The trailing stop line displayed as circles:
Acts as dynamic support in uptrends
Acts as dynamic resistance in downtrends
Crossovers generate trading signals
Trend Fill
The area between VAR-RSI and OTT is filled:
Cyan fill during bullish trends
Magenta fill during bearish trends
Fill transparency allows price visibility
Buy position and LONG on Dashboard with a Uptrend:
ATR Boundaries (Optional)
Dotted lines showing volatility-based price boundaries:
Upper band: Close + (ATR x Multiplier)
Lower band: Close - (ATR x Multiplier)
Color matches current trend direction
Buy/Sell Signals
Clear labels appear at signal points:
BUY label below bar when VAR-RSI crosses above OTT
SELL label above bar when VAR-RSI crosses below OTT
Additional glow circles highlight signal bars
Bar Coloring
Optional feature that colors price bars:
Cyan bars during bullish trend
Magenta bars during bearish trend
Dashboard Panel
The 8-row dashboard provides comprehensive status information:
Signal: Current position - LONG or SHORT (large text)
VAR-RSI: Current smoothed RSI value (large text)
RSI State: OVERBOUGHT, OVERSOLD, BULLISH, or BEARISH
OTT Trend: UPTREND or DOWNTREND based on OTT direction
Bars Since: Number of bars since last signal
Price: Current close price (large text)
OTT Level: Current OTT trailing stop value
Input Parameters
RSI Settings:
RSI Length: Period for RSI calculation (default: 100)
Source: Price source (default: close)
VAR Settings:
VAR Length: Adaptive smoothing period (default: 50)
OTT Settings:
OTT Period: Trailing stop calculation period (default: 30)
OTT Percent: Distance percentage for trailing stop (default: 0.2)
ATR Trend Boundaries:
Show ATR Boundaries: Toggle visibility (default: enabled)
ATR Length: Period for ATR calculation (default: 14)
ATR Multiplier: Distance multiplier (default: 2.0)
Display Options:
Show Buy/Sell Signals: Toggle signal labels (default: enabled)
Show Status Table: Toggle dashboard (default: enabled)
Table Position: Choose corner placement
Color Bars by Trend: Toggle bar coloring (default: enabled)
Color Scheme:
Bullish Color: Main bullish color (default: cyan)
Bearish Color: Main bearish color (default: magenta)
OTT Line: Trailing stop color (default: yellow)
VAR-RSI Line: Main line color (default: teal)
ATR colors for boundaries
How to Use RSI Trend Authority
Signal-Based Trading:
Enter LONG when BUY signal appears (VAR-RSI crosses above OTT)
Enter SHORT when SELL signal appears (VAR-RSI crosses below OTT)
Use the OTT line as a trailing stop reference
Trend Confirmation:
Cyan fill indicates bullish trend - favor long positions
Magenta fill indicates bearish trend - favor short positions
Check RSI State in dashboard for momentum context
Using the Dashboard:
Monitor "Bars Since" to assess signal freshness
Check RSI State for overbought/oversold warnings
Use OTT Level as a reference for stop placement
ATR Boundaries:
Price near upper ATR band in uptrend suggests extension
Price near lower ATR band in downtrend suggests extension
Boundaries help identify potential reversal zones
Parameter Optimization
For Faster Signals:
Decrease RSI Length (try 50-80)
Decrease VAR Length (try 30-40)
Decrease OTT Period (try 15-25)
For Smoother Signals:
Increase RSI Length (try 120-150)
Increase VAR Length (try 60-80)
Increase OTT Period (try 40-50)
For Tighter Stops:
Decrease OTT Percent (try 0.1-0.15)
For Wider Stops:
Increase OTT Percent (try 0.3-0.5)
Alert Conditions
Three alert conditions are available:
Buy Signal: VAR-RSI crosses above OTT
Sell Signal: VAR-RSI crosses below OTT
Trend Change: OTT direction changes
Understanding the OTT Calculation
The OTT uses a percentage-based trailing mechanism:
float farkOTT = mavgOTT * ottPercent * 0.01
float longStopCalc = mavgOTT - farkOTT
float shortStopCalc = mavgOTT + farkOTT
longStop := mavgOTT > nz(longStop ) ? math.max(longStopCalc, nz(longStop )) : longStopCalc
shortStop := mavgOTT < nz(shortStop ) ? math.min(shortStopCalc, nz(shortStop )) : shortStopCalc
This ensures the trailing stop only moves in the direction of the trend, never against it.
Best Practices
Use on 1H timeframe or higher for more reliable signals
Wait for signal confirmation before entering trades
Consider RSI State when evaluating signal quality
Use ATR boundaries for profit target estimation
The longer RSI length (100) provides smoother trend detection
Combine with support/resistance analysis for better entries
Limitations
Signals may lag during rapid price movements due to smoothing
Works best in trending markets; may whipsaw in ranges
The overlay nature means RSI values are scaled, not absolute
Default parameters are optimized for crypto and forex; adjust for other markets
Technical Notes
This indicator is written in Pine Script v6 and uses:
VAR (Variable Index Dynamic Average) for adaptive smoothing
OTT (Optimized Trend Tracker) for trailing stop calculation
ATR for volatility-based boundaries
Gradient coloring for intuitive trend visualization
The source code is open and available for review and modification.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
-Made with passion by officialjackofalltrades
CISD Projections [LuxAlgo]The CISD Projections tool automatically plots mechanical price projection targets based on fractal market structure and swing manipulation legs. These projections offer dynamic, statistically informed targets that align with how prices tend to expand after a reversal point is confirmed.
🔶 USAGE
Projections are mechanical target levels derived from the manipulation leg following a confirmed change in state of delivery (CISD). They estimate where price is most likely to travel next by applying extended Fibonacci projection levels off the swing that initiated the move.
The tool works in the following way:
1. Detect the reversal bar that signals a shift in delivery.
2. Identify the manipulation leg: the swing that caused the reversal.
3. Anchor projections from this leg using customized Fibonacci levels such as 1, 2, 2.5, 4, 4.5 — each representing a potential target based on leg size and market expansion expectation.
For a correct target interpretation:
Average-sized legs often target between 2 and 2.5 levels.
Expanding legs may reach 4 to 4.5.
Large manipulation legs may warrant conservative expectations, focusing on 1 target.
As we can see in the image, traders must be aware of current market conditions and manipulation leg size in order to decide which levels to target and ask the right questions: Is volatility contracting or expanding? Is this manipulation leg smaller or larger than the previous ones?
Ultimately, projections provide objective, mechanical targets rather than subjective guesswork. They can be used on their own or in conjunction with liquidity zones, CISDs, and structural levels. They also help identify realistic price targets based on measured swing magnitude.
🔹 Filtering Setups
The chart shows how the output is affected by different filtering options:
Bars Threshold: show setups with a minimum number of bars in the manipulation leg.
CISD Filter: show setups only at the top or bottom of the range for the last X bars.
Invalidate CISDs on CHoCH: setups stop expanding after the first close beyond the manipulation leg.
We can obtain more meaningful setups with larger filter values by filtering the setups, or we can zoom in on details at the trader's discretion by disabling all filters.
🔶 SETTINGS
Bars Threshold: Minimum number of bars of each setup.
CISD Filter: Enable or disable the filter and select the length. This filter identifies setups at the top or bottom of the range over the last X bars.
Invalidate CISDs on CHoCH: Stop the level extension on ChoCH against CISD. This occurs when there is a close below the bottom on bullish setups and a close above the top on bearish setups.
🔹 Projections
Enable or disable each projection, select the projection level, and choose a style.
🔹 Style
CISD Level: Enable or disable CISD price level and select style.
Labels size: Select the size of the labels.
Bullish Color: Select a color for bullish setups.
Bearish Color: Select a color for bearish setups.
Background Fill: Enable or disable the background fill between the price and the extreme projection.
[CT] Smart Supertrend Smart Supertrend is an overlay trend and context indicator that combines three different ideas into one visual: a dynamic “cloud” that adapts to market cycle speed, a pivot-point anchored trailing line that behaves like a smarter Supertrend, and an ADX strength filter that helps separate real trends from noisy sideways movement. It is designed to keep you aligned with the dominant direction while giving you a clean framework for entries, pullbacks, and exits.
The “cloud” is the heart of the script’s regime read. Internally, it builds an adaptive smoothing engine that reacts to how efficiently the price is moving. When the price is moving in a clean, directional way, the cloud becomes more responsive. When the price is choppy and overlapping, the cloud becomes slower and steadier. The cloud itself is drawn as two lines, Cloud A and Cloud B, and the filled area between them. When the adaptive KAMA slope is rising, the cloud is treated as bullish and uses your Up color. When it is falling, the cloud is treated as bearish and uses your Down color. This creates a quick visual of whether the market is behaving like an uptrend regime or a downtrend regime without relying on one fixed moving average length that can be too fast in chop or too slow in trend.
The PP line is the trade management spine. It is built from pivot logic that detects meaningful swing highs and swing lows using your PP Period. Those pivots are blended into a centerline, and then an ATR band is applied around that center using your ATR Period and ATR Factor. That band is turned into a trailing line that “ratchets” in the direction of the current trend. When the price is above the trailing logic, the script considers the trend state to be long. When the price is below, it considers the trend state to be short. The reason this feels different from a basic Supertrend is that the anchor comes from pivots and smoothing rather than only a direct ATR band around price, so it tends to track structure more naturally and reduce some of the fast flipping you see in choppy sections.
The ADX filter is the quality control layer. It computes plus DI, minus DI, and ADX over your ADX Length, and then checks whether ADX is above your threshold. When ADX is above the threshold, it suggests the market is trending enough for trend signals to matter. When ADX is below the threshold, the script is telling you the environment is more sideways, which is where most trend systems get chopped up. In the original logic, the “best” conditions occur when the cloud direction agrees with the DI direction, and ADX is strong, because that means direction and strength are aligned.
How you trade it starts with using the cloud as your directional bias. When the cloud is bullish, you prioritize longs and you treat shorts as lower quality or countertrend. When the cloud is bearish, you prioritize shorts and you treat longs as lower quality. Next, you use the PP line as the “line in the sand” for trend state and risk placement. In a bullish environment, price holding above the PP line is your confirmation that the structure-anchored trailing level is supporting the move. In a bearish environment, price holding below the PP line is your confirmation that the trailing level is capping rallies.
A clean, practical entry approach is to wait for agreement between the cloud and the PP line, then take pullbacks into that framework. For long trades, the highest quality setups occur when the cloud is bullish, the PP line is below price, and ADX is above the threshold with plus DI leading minus DI. In that state, you can look for pullbacks that dip toward the PP line or into the cloud region and then reject back upward, because you’re buying a retracement inside a confirmed trend regime rather than chasing extension. For short trades, the mirror applies: the cloud is bearish, the PP line is above price, ADX is above the threshold with minus DI leading, and you sell rallies back into the PP line or cloud that fail and rotate down.
Stops and exits can be built around the PP line because it is already an ATR-based trailing structure level. For a long, a conservative stop is placed just below the PP line with a buffer related to ATR, because if price closes and holds below that line you are likely seeing a trend condition break. For a short, the stop goes just above the PP line with a similar buffer. For profit taking, many traders scale out when price stretches far away from the PP line or when the cloud begins to lose slope and compress, because that often signals trend momentum is slowing. Another simple exit rule is to reduce or close when the PP line flips trend state against your position, or when the ADX falls back under the threshold after a run, because that frequently marks a transition into consolidation where trailing systems can give back gains.
If you enable signals in versions that plot them, the logic is meant to highlight moments when the PP line flips trend and the cloud is not contradicting that flip, then further filters those into “higher quality” conditions when cloud direction and ADX trend strength agree. In practice, you should still treat signals as prompts, not automatic trades. The best results come from using the signal as a timing cue while you still enforce the bigger rule of alignment: cloud direction, PP line trend state, and ADX strength all pointing the same way, with entries taken on pullbacks rather than on late breakout candles.
Finally, be aware that all adaptive smoothing systems will look different across markets and timeframes, so the main tuning knobs are your Cloud Length, PP Period, ATR Factor, and ADX Threshold. If you want fewer flips and more “position trading” behavior, increase the ATR Factor and consider a higher ADX threshold. If you want earlier entries and more sensitivity, lower ATR Factor and lower the threshold, but expect more chop. The indicator is at its best when you treat it as a regime and structure tool: let the cloud tell you the side, let the PP line define where you are wrong, and let ADX decide whether it’s a trend day or a chop day before you commit size.
[Greeny] RTH Only Naked VPOCWhat it does
Calculates and displays daily Volume Point of Control (VPOC) levels based on RTH (Regular Trading Hours) session only. Tracks which VPOCs remain "naked" (untouched) and which have been hit - but only counts hits during RTH hours, ignoring overnight/globex touches.
Key Features
One VPOC per trading day calculated from entire RTH session volume profile
RTH-only hit detection - levels only marked as hit when touched during RTH, not overnight
Works on all timeframes - daily, hourly, or any chart timeframe
Volume-based filtering - automatically skips low-liquidity sessions (pre-front-month contract data)
Visual markers - small dash on origin bar shows where each VPOC was, even after being hit
Visual Guide
Yellow dashed line - Naked VPOC (not yet touched during RTH)
White dashed line - Hit VPOC (was touched during RTH)
Small dash on candle - POC origin marker
Settings
Display options: Toggle to show only naked POCs, customize hit/naked colors, adjust line width and style (solid/dashed/dotted), enable/disable line extension and origin markers.
RTH Session: Configure start and end time in NY timezone. Default is 9:30-16:00 (US equity market hours), which equals 15:30-22:00 Budapest time.
Advanced: Adjust volume profile resolution (default 250 bins), data source timeframe for calculations (5min recommended for daily charts), and minimum volume threshold to filter out low-liquidity sessions like pre-rollover contract data (default 10% of average).
Best For
ES/MES, NQ/MNQ futures traders
Mean reversion strategies using VPOC as support/resistance
Auction Market Theory practitioners
Anyone wanting clean RTH-only volume profile levels
Note on Contract Rollovers
When using specific contract symbols (e.g., ESH2026 instead of ES1!), the script may show many naked VPOCs from months before the contract became active. This happens because futures contracts have very low liquidity before becoming the front-month, creating unreliable VPOCs with gaps that never get hit. The volume filter helps reduce this, but you may need to increase the "Min Volume % of Average" setting or simply ignore older levels when viewing back-month data.
Extreme Reversion Flag - EMA Spread + ATR Threshold (15s)Short Description
Visual indicator that flags extreme EMA divergence on the 15s chart. It plots the EMA20 − EMA4 spread, overlays a multiplied ATR threshold, and highlights bars where 20 > 9 > 4 (bear extreme) or 4 > 9 > 20 (bull extreme) and the spread ≥ mult × ATR.
Features
- Pane plot of the EMA20−EMA4 spread and the ATR‑based threshold.
- Histogram showing spread/ATR ratio for numeric tuning.
- Visual fill between spread and threshold when the extreme condition is met.
- Top/bottom markers for exact bars that meet the rule.
- Alert conditions for bull and bear extremes.
- User inputs for EMA lengths, ATR length, and multiplier for sensitivity.
[CT] Highest/Lowest Close Midline Candle ColorThis indicator looks back a user defined number of bars, the default is 14, and finds the highest closing price and the lowest closing price in that lookback window. Those two values form a rolling closing range. The script then calculates a midpoint of that range by averaging the highest close and the lowest close. That midpoint is plotted as “o”, and it acts like a simple, adaptive balance line for where the market is trading within its recent closing range.
On every bar, the candle color is driven by where the current close finishes relative to that midpoint. When price closes above the midpoint, the script colors the candle green, which tells you that the close is occurring in the upper half of the most recent closing range. When price closes below the midpoint, the candle is colored red, which tells you the close is occurring in the lower half of the most recent closing range. If the close lands exactly on the midpoint, the script leaves the bar uncolored, which is a quick way to spot “neutral” closes that are sitting right at the balance point.
On the chart you will see three plots. The “hi” line is the highest close over the lookback period, so it behaves like a dynamic ceiling for closes. The “lo” line is the lowest close over the lookback period, so it behaves like a dynamic floor for closes. The “o” line is the midpoint between those two, and it will move up when the rolling highest and lowest closes lift, and it will move down when they fall. Because all three are based on closing prices instead of highs and lows, they reflect where the market is actually accepting value at the end of each bar rather than momentary wicks.
In practical use, the midpoint line is your decision line and the candle colors are your bias filter. A sequence of green candles means closes are consistently happening above the midpoint, which implies bullish control of the recent closing range and can be used as a confirmation to favor long setups, trend continuation trades, or pullbacks that hold above the midpoint. A sequence of red candles means closes are consistently happening below the midpoint, which implies bearish control of the recent closing range and can be used to favor short setups or bearish continuation until price can reclaim the midpoint. When candles flip color around the midpoint repeatedly, that is a visual cue that the market is rotating and the midpoint is acting like a balance area rather than support or resistance, which often aligns with consolidation or choppier conditions.
The “hi” and “lo” lines can be treated as context levels. If price is closing above the midpoint and pressing toward the “hi” line, you are seeing strength within the closing range and the prior highest close becomes the next level where continuation may stall or break. If price is closing below the midpoint and pressing toward the “lo” line, you are seeing weakness within the closing range and the prior lowest close becomes the next level where continuation may pause or accelerate through. Breaks beyond the “hi” or “lo” line indicate that the rolling closing range is expanding, which can coincide with trend continuation or a breakout from a prior range.
This tool is simple by design and is best used as a directional filter and a structure guide rather than a standalone entry system. It does not repaint past bars because it only uses completed historical closes within the selected lookback window, and it updates normally as each new bar closes. You can increase the period to smooth it for higher time frames or more stable trends, and decrease it to make it more sensitive for faster markets or scalping, with the tradeoff that shorter periods will flip colors more often in chop.
Liquidity Trend Horizon [Pineify]Pineify - Liquidity Trend Horizon
The Liquidity Trend Horizon is a sophisticated trend-following indicator designed to identify potential liquidity sweep zones while providing clear visual trend direction. It combines adaptive volatility bands with smart liquidity detection to help traders spot high-probability reversal points where institutional activity may be occurring.
Key Features
Dynamic trend baseline using WMA and EMA smoothing
ATR-based volatility bands that adapt to market conditions
Automatic liquidity sweep detection with visual alerts
Gradient-filled channels for intuitive trend visualization
Real-time candle coloring based on trend direction
How It Works
The indicator calculates a weighted moving average (WMA) of the closing price, then applies exponential smoothing (EMA) to create a responsive yet stable baseline. This dual-smoothing approach filters out market noise while maintaining sensitivity to genuine trend changes.
Volatility bands are constructed using a 200-period Average True Range (ATR) multiplied by a user-defined factor. This creates dynamic support and resistance zones that automatically widen during volatile periods and contract during consolidation.
How Multiple Indicators Work Together
The synergy between WMA, EMA, and ATR creates a comprehensive trend analysis system:
The WMA provides the initial trend estimation with emphasis on recent price action
The EMA layer adds smoothness to reduce false signals
The ATR bands define probabilistic boundaries where price is likely to find support or resistance
Trading Ideas and Insights
Liquidity sweeps occur when price wicks beyond the volatility bands but closes back within the channel. These events often indicate:
Stop-loss hunting by larger market participants
False breakouts that may lead to reversals
Areas of accumulated liquidity being absorbed
A bullish sweep (wick below lower band, close above) suggests potential buying opportunity. A bearish sweep (wick above upper band, close below) may signal selling pressure.
Unique Aspects
Unlike traditional channel indicators, the Liquidity Trend Horizon specifically identifies sweep events where price temporarily breaks boundaries before reverting. This behavior is commonly associated with institutional order flow and smart money concepts.
How to Use
Observe the baseline color for overall trend direction (cyan for bullish, purple for bearish)
Watch for sweep markers (🚀 BULL / 📉 BEAR) at band extremes
Use background flashes as immediate alerts for sweep events
Consider entries when sweeps align with the prevailing trend direction
Customization
Trend Period - Adjust baseline sensitivity (default: 24)
Channel Width Multiplier - Control band distance from baseline (default: 2.0)
Smoothness - Fine-tune signal responsiveness (default: 5)
Color Settings - Personalize bullish/bearish colors and transparency
Conclusion
The Liquidity Trend Horizon bridges technical analysis with liquidity concepts, offering traders a unique perspective on market structure. By highlighting potential sweep zones within an adaptive trend framework, it helps identify areas where reversals are statistically more likely to occur.
LiquidityPulse MTF Intrabar Micro-Structure Absorption DetectorLiquidityPulse MTF Intrabar Micro-Structure Absorption Detector
Non-repainting: Markers appear on bar close and do not change.
Important (if you can’t see any markers)
This indicator measures intrabar micro-structure and it can use seconds-based micro data on lower timeframes.
If you load it and don’t see anything:
Go to 15m or higher, or
In settings, change Micro feed (inside HTF bar) from Auto to 1m / 5m / 15m.
Auto will often choose a “micro” feed that’s very small when your HTF is small, which can affect what you see.
What this indicator does
This script is designed to highlight absorption-like conditions by analysing what happens inside each higher-timeframe (HTF) candle — not just the candle’s OHLC.
It looks for candles where:
price moves a lot internally (high intrabar activity),
the candle structure shows churn / rejection (wick dominates body),
and participation is elevated (relative high volume).
When those conditions align, the indicator prints a marker line at the wick extreme:
LW (Lower-wick marker) = printed at the candle’s low
UW (Upper-wick marker) = printed at the candle’s high
Each marker is then extended to the right (so it can be treated like a potential level).
Image shows a wick-dominant candle with an absorption marker: Markers appear when price shows strong intrabar movement, a wick-dominant candle structure, and elevated participation — a combination often associated with absorption-like behaviour.
How it works
A marker is created only when all three filters pass on a confirmed candle close:
1) Intrabar micro-speed (internal activity)
The script pulls intrabar closes from a lower timeframe (“micro feed”) and sums the absolute internal price changes inside the HTF candle.
It then converts this to a Z-score and checks it against the Speed-z threshold.
Higher threshold = fewer, stronger events.
2) Wick vs body (churn / rejection structure)
This measures how the HTF candle’s internal range compares to its net close-to-open movement using:
Churn ratio = (HTF range) / (HTF body)
If the candle has a large range but a relatively small body, it indicates that price moved extensively during the candle but made limited net progress by the close — a structure often associated with active two-sided participation and absorption-like behaviour.
3) Relative HTF volume (participation filter)
The script also Z-scores HTF volume and requires it to exceed the Volume z-score threshold.
This helps filter out candles that show apparent activity but occur on relatively low participation.
Multi-timeframe + micro-structure analysis: Image shows a 15 minute chart marker on the 1 minute timeframe. The indicator can analyse higher-timeframe candles (15 minute) while using lower-timeframe micro data inside each bar (1 minute). This allows absorption-style markers to be plotted with higher-timeframe context and intrabar detail.
Composite Intensity
When a marker triggers, the script calculates a Composite Intensity number (CI):
It’s a combined score based on how strongly each of the three conditions exceeded its threshold.
Higher CI = stronger absorption-style event
Higher CI = brighter chart marker
The table shows:
HTF and Micro timeframes being used
the last marker type (LW or UW)
the last CI value
Micro feed & multi-timeframe behaviour
This indicator always works as a two-layer system:
HTF candle (context) → the candle you’re analysing
Micro feed (inside HTF bar) → the intrabar data used to measure micro-speed
Higher-TF source
Chart timeframe = uses your chart timeframe as HTF
Manual = choose any HTF (example: chart = 1m, HTF = 15m → prints 15m absorption markers onto a 1m chart)
Micro feed options
Auto (recommended) picks a sensible micro feed based on HTF
Or choose 1s / 1m / 5m / 15m manually for performance/clarity
HTF direction filter (optional)
When enabled:
LW markers only print when the HTF candle closes bullish
UW markers only print when the HTF candle closes bearish
This is optional and is designed to reduce noise by aligning markers with the directional bias of the higher-timeframe candle.
Traders can use the absorption markers to:
Identify potential areas of interest where price showed unusually high intrabar activity but limited net progress by the close.
Mark reference levels where price may react again later, reflecting prior elevated participation and extensive intrabar movement areas.
Add structural context to existing analysis such as trend structure, support/resistance, session highs/lows, or other volume-based tools.
Compare behaviour across timeframes, by observing how absorption-style events on a higher timeframe align with lower-timeframe price action.
Image shows price reacting to a previous absorption markers level (Lines/ levels can be extended in the settings): Extended LW / UW markers can be observed as areas of prior absorption-like activity. Traders may watch how price behaves around these levels (reaction, acceptance, or rejection) alongside their own structure, liquidity, or risk management tools.
Key settings (what they change)
Higher-TF source / Higher-TF bar (manual): which candle timeframe is analysed
Micro feed (inside HTF bar): what intrabar resolution is used to calculate micro-speed
Speed-z threshold: how unusual intrabar activity must be
Wick/Body threshold: how large the candle’s total range must be compared to its body
Volume z-score threshold: how elevated HTF volume must be
Z-score look-back: how far back the indicator normalises speed/volume
Line extension (bars): raise if you want markers to behave more like extended levels
Max markers: how many markers remain on the chart at once
Alerts
Alerts trigger on candle close when an absorption marker is detected.
Disclaimer
This indicator does not measure true order flow or the full limit order book. It uses intrabar price activity, candle structure, and relative participation as interpretive tools to highlight absorption-like behaviour. It is not a buy/sell system, and all signals should be used with traders own confirmation and risk management.
Support and Resistance Breakout Signals [MarkitTick]💡 This indicator provides a comprehensive, automated system for identifying, tracking, and trading Support and Resistance (S/R) breakouts. By synthesizing classic Swing High and Swing Low pivot analysis with Multi-Timeframe (HTF) capabilities and Volume confirmation, it transforms raw price action into actionable structural data. It is designed to declutter charts by automatically managing active levels and highlighting significant market structure shifts (Higher Highs, Lower Lows) alongside verified breakout signals.
✨ Originality and Utility
While many indicators draw static pivot points, this tool distinguishes itself through "State Management." It treats Support and Resistance not just as historical markers, but as active zones that evolve.
Dynamic Level Management: Instead of flooding the chart with infinite lines, the script uses arrays to store a specific number of recent levels. As price action progresses, invalid or broken levels are removed or updated, keeping the analysis focused on current relevance.
Multi-Timeframe Confluence: Uniquely, it allows you to overlay higher timeframe support and resistance levels (e.g., Daily levels on a 4-hours chart) without changing your chart view, enabling top-down analysis instantly.
Market Structure Labeling: It automatically tags pivot points with Dow Theory labels (HH, LH, LL, HL), aiding traders in instantly recognizing trend direction without manual charting.
🔬 Methodology and Concepts
The script operates on three core technical pillars:
● Swing Pivot Detection
The foundation is the detection of local extrema using a "Left/Right" bar lookback mechanism. A Swing High is identified when a high is greater than the L bars preceding it and the R bars following it. This confirms a fractal peak or valley.
Note on Confirmation: Because the script waits for R bars to close to confirm a pivot, the lines appear retroactively. However, the extension of these lines and subsequent breakout signals occur in real-time.
● Breakout Logic with Volume Integration
A breakout is triggered when the Close price crosses an active S/R line.
Resistance Break: Current Close > Resistance Level (and Previous Close ≤ Level).
Support Break: Current Close < Support Level (and Previous Close ≥ Level).
Volume Confirmation: An optional filter requires the breakout bar's volume to exceed a Moving Average of volume, ensuring momentum backs the move.
● Time Decay
To mimic the reduced relevance of stale levels, the script includes a "Time Decay" feature. If a level is not interacted with for a user-defined number of bars, it is automatically purged from the system, ensuring the chart reflects only fresh interest levels.
🎨 Visual Guide
The indicator uses a specific color-coding and labeling system to convey information quickly:
● Support & Resistance Lines
Red Lines (Thin): Represent active Resistance levels on the current timeframe.
Green Lines (Thin): Represent active Support levels on the current timeframe.
Fuchsia Lines (Thick): Represent Higher Timeframe (HTF) Resistance levels.
Aqua Lines (Thick): Represent Higher Timeframe (HTF) Support levels.
● Market Structure Labels
Located at the pivot points, these text labels define the trend structure:
HH / LH: Higher High / Lower High (Red Text).
LL / HL: Lower Low / Higher Low (Green/Aqua Text).
HTF-R / HTF-S: Indicates major structural pivots from the higher timeframe.
● Breakout Signals
When a valid break occurs, a label appears above or below the bar:
Blue Triangle Up (▲): Bullish breakout through resistance.
Blue Triangle Down (▼): Bearish breakout through support.
Number in Label: Indicates the cumulative count of breaks for that specific trend sequence (e.g., "1" is the first break, "2" is the second).
The breakout count represents the intensity of the move. A reading greater than 1 signals exceptional market strength, indicating the penetration of multiple Key Levels (Support or Resistance) within a single candle.
📖 How to Use
Trend Continuation: In an uptrend (sequence of HH/HL), wait for a Blue Triangle Up (▲) occurring at a Red Resistance line. This signals the continuation of the trend.
Trend Reversal: Watch for a "Structure Break." If price is making Higher Highs, but then breaks a Green Support line (generating a ▼ signal) and forms a Lower Low (LL), the trend may be reversing.
HTF "Bounce" Plays: Use the thick Fuchsia/Aqua lines as major zones. If price approaches a thick Aqua line (HTF Support) and fails to break it, look for LTF bullish structure (HH/HL) to form for an entry.
Volume Filtering: Enable the "Volume Confirmation" setting to filter out "fakeouts" (breaks on low volume).
⚙️ Inputs and Settings
● Swing Settings
Left/Right Bars: Determines the sensitivity of the pivot detection. Higher numbers = fewer, more significant pivots.
Max Stored Levels: How many S/R lines to keep in memory at once.
Max Break Labels: Limits visual clutter by capping the number of signal labels.
● Usability & HTF
Enable Time Decay: If true, deletes lines that are older than "Decay Period" bars.
Enable HTF Levels: Toggles the display of higher timeframe pivots.
HTF Timeframe: Select the specific timeframe for the macro view (e.g., "D" for Daily).
● Analysis
Volume Confirmation: Toggles the requirement for volume to be above its average for a signal to fire.
Show Market Structure: Toggles the HH/LL text labels.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The script's logic is rooted in Fractal Geometry and Auction Market Theory .
● Mandelbrot's Fractals: The use of `leftBars` and `rightBars` is a direct application of identifying market fractals. Markets are self-similar across timeframes; a pivot on a 5-minute chart is structurally identical to one on a Weekly chart. This script exploits this property by allowing nested timeframe analysis (LTF inside HTF).
● Memory of Price (Behavioral Finance): Support and resistance lines represent zones where market participants have previously established value (Price Memory). The "Breakout" signal is mathematically significant because it represents a shift in the supply/demand equilibrium. When price closes beyond a stored array value (the pivot price), it signifies that the aggressive limit orders that created the pivot have been exhausted or withdrawn, validating a new search for value.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
GCM Heikin Ashi RSI Trend CloudTitle: GCM Heikin Ashi RSI Trend Cloud
Description:
Overview
The GCM Heikin Ashi RSI Trend Cloud is a comprehensive momentum oscillator designed to filter out market noise and visualize trend strength. Unlike a standard RSI which can be jagged and difficult to interpret during consolidation, this indicator transforms RSI data into Heikin Ashi candles, providing a smoother, clearer view of market momentum.
This tool combines the lag-reducing benefits of RSI with the trend-visualizing power of Heikin Ashi, layered with Multi-Timeframe (HTF) clouds to identify macro trends.
Calculations & How it Works
This indicator does not use standard price action for its candles. Instead, it performs the following calculations:
• HARSI Candles: We calculate the RSI of the Open, High, Low, and Close of the chart. These four RSI values are then processed through the standard Heikin Ashi formula. This means the candles represent momentum movement, not price movement.
• Smoothing: A smoothing algorithm is applied to the "Open" of the HARSI candles (Default: 5). This reduces fake-outs by biasing the candle open toward the previous average, highlighting the true trend direction.
• Trend Bias Mode: A unique visual feature that adjusts the thickness of the RSI line based on your trading style.
o Buyers Mode: The line thickens when RSI is rising, thinning out when falling.
o Sellers Mode: The line thickens when RSI is falling, thinning out when rising.
• Ribbon Clouds: The script pulls RSI data from Higher Timeframes (HTF) and creates a cloud between the current chart's RSI and the HTF RSI. If the current RSI is above the HTF RSI, the cloud is bullish (Green), otherwise bearish (Red).
Key Features
• Derived Heikin Ashi RSI: Smooths out the noise of standard RSI to show clear red/green trends.
• Dynamic Trend Bias: Customize the main RSI line to emphasize Bullish or Bearish momentum using line weight.
• Auto-HTF Clouds: Automatically detects higher timeframes (e.g., 1m chart -> 3m cloud) to show support/resistance momentum from the macro trend.
• OB/OS Zones: Clearly defined Overbought and Oversold channels with "Extreme" outlier zones.
How to Use
1. Trend Continuation: Look for the HARSI candles to change color. A switch from Red to Green, while the Ribbon Cloud is also Green, indicates a strong bullish continuation.
2. Divergence: Because the candles are based on RSI, you can look for divergences between the HARSI candle peaks and the actual price action on the main chart.
3. The Cloud: Use the cloud as dynamic support. In a strong uptrend, the RSI line often bounces off the HTF Cloud without breaking through it.
Settings
• HARSI Length (Default 10): The lookback period for the RSI calculation.
• Smoothing (Default 5): Higher values create smoother candles but add lag. Lower values are more reactive.
Trend Bias Mode: Choose "Neutral" for a standard line, or "Buyers/Sellers" to visually emphasize your preferred market direction.
Dow Theory Cockpit [Analytics Pro]1. Overview and Key Features
The core philosophy of this tool is to "Eliminate market noise and pinpoint high-probability trade setups.
🤖 Triple-Logic Engine: Automatically detects three distinct strategies: Trend Following
(Breakout), Retracement (Dip), and Reversal (Sniper).
🛡️ Ironclad Protection: Features an ATR-based dynamic Stop Loss (SL). It automatically
positions your SL at levels resistant to "stop hunting" or market noise.
💰 Automatic Risk Management: The tool calculates and displays the optimal lot size based
on your SL distance, ensuring your risk amount remains constant regardless of market
volatility.
📊 Performance Visualization: Real-time Win Rate panel displaying data for "Today," "This
Month," "This Year," and "All Time.
🌍 Global Market Insights: Monitor not just your active chart, but also Gold, JPY, BTC, and
critical US/JP economic indicators (Interest Rates, Inflation, etc.) simultaneously.
2. Three Entry Signals
The tool automatically toggles between three optimized logics depending on market conditions
Signal Type Target & Strategy 🎯
SNIPER Reversal Captures "Tops and Bottoms." Detects RSI exhaustion + Bollinger
Band mean reversion to catch the start of a reversal.
DIP Trend Following Captures "Pullbacks." Picks up entries when price touches MAs or
retraces during a strong uptrend.
BREAK Trend Following Captures "Breakouts." Rides the momentum the moment price
breaks recent Highs or Lows.
💡 Pro Tip: When multiple conditions align, signals merge (e.g., "SNIPER & DIP") to keep
your chart clean and highlight high-conviction setups.
3. Dashboard Guide
The dual-panel interface is fully customizable in terms of visibility and placement.
① Main Analysis Panel (Default: Top Right)
In-depth analysis of the current currency pair.
・MAIN: Displays the pair and volatility status (HIGH VOL / NORMAL).
・Target RR: Your target Risk:Reward ratio (e.g., 1:1.5).
・🌊 Trend Monitor: Instantly check trend directions across 15M, 1H, 4H, and Daily timeframes.
・Strategic Note: When all timeframes align (Full Alignment), the signal is considered a "high-
probability" setup.
・📊 Win Rate: Tracks success rates and trade counts across four periods (Day, Mo, Yr, All).
・Risk: Shows current risk settings, spread, and account type.
② Market Scanner Panel (Default: Bottom Right)
Multi-market and fundamental surveillance.
・SCANNER: Constant monitoring of Gold, USDJPY, and Bitcoin. It alerts you immediately when
a trend or signal forms on these major assets.
・US/JP ECONOMY: Side-by-side comparison of essential fundamental data:
・Rate: Policy Interest Rates
・Inf%: Inflation (CPI)
・GDP: Economic Growth Rate
・Job: Unemployment / Payrolls
4. Trading Workflow
Follow these steps for the highest success rate:
１．STEP 1: Wait for SignalWait for the audio alert or the "BUY/SELL" label to appear.
Important: Never entry while the candle is still moving.
２．STEP 2: Filter ConfirmationJust before the candle closes, verify:
・MTF Panel: Are the 1H and 4H colors aligned with the signal? (Green for Buy, Red for Sell)
・MA Ribbon: Is the ribbon showing a clean, healthy spread?
３．STEP 3: Execution (At Candle Close)If the signal remains after the candle closes, enter at
the open of the next candle. Use the "Lot: X.XX" value shown on the blue label—this is your
safety-calculated lot size.
４．STEP 4: Exit Strategy (TP/SL)Immediately set your orders based on the lines on the chart:
・🟥 Red Line (SL): Positioned at 3x ATR to withstand noise.
・🟩 Green Line (TP): Optimized for consistent win rates.
5. Customization
・ : Set your Risk(%) per trade (Recommended: 1.0–2.0%). Adjust the SL Buffer (Default 3.0) to balance win rate versus lot size.
・ : Adjust font size (Tiny/Small/Normal) and panel width to fit your screen resolution.
・ : Customize colors and thickness to match your visual preference.
The Strat - Multi-Timeframe Combo Analyzer## 📊 The Strat - Multi-Timeframe Combo Analyzer
This open-source indicator implements **The Strat** methodology, a universal price action framework developed by Rob Smith (@RobInTheBlack).
---
### 🎯 What is The Strat?
The Strat categorizes every candle into one of three scenarios based on its relationship to the previous bar:
| Type | Name | Definition |
|------|------|------------|
| **1** | Inside Bar | High < Previous High AND Low > Previous Low |
| **2** | Directional | Breaks only one side (2↑ = broke high, 2↓ = broke low) |
| **3** | Outside Bar | Breaks BOTH previous high AND low |
By tracking these bar types across timeframes, traders can identify actionable setups with defined entry triggers and target levels.
---
### ✨ Features
**Daily Timeframe Analysis:**
- Real-time 3-bar combo detection (2-1-2, 3-1-2, 1-2-2, etc.)
- Pattern classification: Bullish/Bearish Continuation or Reversal
- Entry and Target levels based on Strat rules
- Pattern status: ACTIONABLE, IN-FORCE, TRIGGERED, or WATCHING
**ATR Context:**
- Range % used (how much of daily ATR has been consumed)
- Entry quality assessment (Excellent → Exhausted)
- Day type classification (Quiet → Trend Day)
- Remaining range estimation
**15-Minute Analysis:**
- Separate combo tracking for intraday precision
- Pattern detection on lower timeframe
**Visuals:**
- Customizable info tables
- Entry/Target horizontal lines
- Signal labels on chart
- Alert conditions
---
### 🔧 How to Use
1. Look for **ACTIONABLE** patterns - these are setups waiting for a trigger
2. Entry triggers when price breaks the designated level
3. Target is the next logical Strat level (typically prior bar's high/low)
4. Use **Range%** to assess if there's room left in the daily range
5. Combine Daily and 15-Min combos for trade confluence
---
### ⚠️ Disclaimer
This indicator is for **educational purposes only**. It does not constitute financial advice or guarantee profitable trades. Trading involves substantial risk of loss. Past performance is not indicative of future results. Always conduct your own research and trade responsibly.
---
### 🙏 Credits
**The Strat** methodology was created by Rob Smith (@RobInTheBlack).
This implementation is open-source. Feel free to study, modify, and improve the code!
VWAP + EMA 20/50 Scalping PRO - PRAKASH✅ VWAP + EMA 20/50 SCALPING — PRO RULES
1️⃣ Chart Setup (30 seconds)
Timeframe: 1-min or 3-min
Indicators:
VWAP (Session)
EMA 20
EMA 50
Use on Index chart (NIFTY / SENSEX), not option chart
2️⃣ Trend Filter (FIRST CHECK)
Condition Market Bias
EMA 20 > EMA 50 Bullish
EMA 20 < EMA 50 Bearish
EMA 20 = EMA 50 (flat) ❌ No trade
👉 Never trade against EMA alignment
3️⃣ VWAP Position = Permission
Price vs VWAP Allowed Trade
Price above VWAP CE only
Price below VWAP PE only
Price cutting VWAP ❌ Skip
👉 VWAP decides BUY or SELL side
4️⃣ ENTRY SETUP (MOST IMPORTANT)
✅ CE ENTRY
EMA 20 > EMA 50
Price above VWAP
Pullback to EMA 20 or VWAP
Strong green candle close
✅ PE ENTRY
EMA 20 < EMA 50
Price below VWAP
Pullback to EMA 20 or VWAP
Strong red candle close
5️⃣ STOP LOSS & TARGET (FIXED)
Target: 10–15 points
SL:
Below EMA 20 (CE)
Above EMA 20 (PE)
Risk : Reward ≥ 1:2
❌ No SL = no trade
6️⃣ STRIKE SELECTION (OPTION SIDE)
Trade ATM or ±1 strike
Premium range: ₹80–₹150
Strike must move immediately
7️⃣ DO NOT TRADE WHEN ❌
EMA 20 & 50 flat
Price inside VWAP
First 5 minutes of market
Low volume candles
ORB Session BreakoutORB Session Breakout
Overview
The ORB Session Breakout indicator automatically identifies Opening Range Breakouts across multiple trading sessions (Asia, London, and New York) and provides visual trade setups with entry, stop loss, and take profit levels.
Opening Range Breakout (ORB) is a classic trading strategy that captures momentum when price breaks out of an initial trading range established at the start of a session. This indicator automates the entire process - from detecting the opening range to plotting trade setups when breakouts occur.
🎯 Key Features
Multi-Session Support
Asia Session - Captures the Asian market open (default: 19:00-19:15 NY time)
London Session - Captures the London market open (default: 03:00-03:15 NY time)
New York Session - Captures the NY market open (default: 09:30-09:45 NY time)
Each session is fully customizable with independent time windows and colors
Enable/disable individual sessions based on your trading preferences
Automatic Trade Visualization
Entry Level - Marked at the breakout candle close
Stop Loss Zone - Configurable as ORB High/Low or Breakout Candle High/Low
Take Profit Zone - Calculated automatically based on your Risk:Reward ratio
Visual zones make it easy to see risk/reward at a glance
Smart Breakout Detection
Detects breakouts on the exact candle that closes beyond the ORB range
Supports direction changes - if price breaks one way then reverses, a new trade is signaled
Configurable max breakouts per session (1-4) to control trade frequency
Tracking hours setting limits how long after the ORB to look for entries
Futures Compatible
Special detection logic for futures markets where session times may fall during market close
Works reliably on instruments with non-standard trading hours
📊 How It Works
Opening Range Formation
At the start of each enabled session, the indicator tracks the high and low of the first candle(s)
This range becomes your ORB box (displayed in the session color)
Breakout Detection
When a candle closes above the ORB High → LONG signal
When a candle closes below the ORB Low → SHORT signal
The breakout candle is highlighted in yellow (customizable)
Trade Setup Visualization
Entry line drawn at the breakout candle's close price
Stop Loss placed at ORB Low (longs) or ORB High (shorts) - or breakout candle extreme
Take Profit calculated as: Entry + (Risk × R:R Ratio) for longs
Direction Changes
If you're in a LONG and price closes below the ORB Low, the indicator signals a SHORT
This counts as your 2nd breakout (configurable up to 4 per session)
💡 Trading Tips
Best Practices
Wait for candle close - The indicator only signals on confirmed closes beyond the ORB, reducing false breakouts
Use with trend - ORB breakouts work best when aligned with the higher timeframe trend
Respect the levels - The ORB High/Low often act as support/resistance throughout the session
Monitor multiple sessions - Sometimes the best setups come from Asia or London, not just NY
Recommended Settings by Style
Conservative: Max Breakouts = 1, R:R = 2.0+, SL Mode = ORB Level
Aggressive: Max Breakouts = 3-4, R:R = 1.5, SL Mode = Breakout Candle
Scalping: Shorter tracking hours (1-2), tighter R:R (1.0-1.5)
What to Avoid
Trading ORB breakouts during major news events (high volatility can cause whipsaws)
Taking every signal without considering market context
Using on timeframes higher than 1 hour (the ORB concept works best intraday)
🔔 Alerts
The indicator includes built-in alerts for:
Entry Signal - When a breakout is detected (LONG or SHORT)
Take Profit Hit - When price reaches the TP level
Stop Loss Hit - When price reaches the SL level
To set up alerts: Right-click on the chart → Add Alert → Select "ORB Session Breakout"
📝 Notes
This indicator is designed for intraday trading on timeframes up to 1 hour
Session times are based on the selected timezone (default: America/New_York)
The indicator works on all markets including Forex, Futures, Stocks, and Crypto
For futures with non-standard hours, the indicator includes special detection logic
4 EMA Perfect Order (10/20/40/80)Display four EMA indicators. You can set an alarm when a perfect order is achieved.
