Hurst-Optimized Adaptive Channel [Kodexius]Hurst-Optimized Adaptive Channel (HOAC) is a regime-aware channel indicator that continuously adapts its centerline and volatility bands based on the market’s current behavior. Instead of using a single fixed channel model, HOAC evaluates whether price action is behaving more like a trend-following environment or a mean-reverting environment, then automatically selects the most suitable channel structure.
At the core of the engine is a robust Hurst Exponent estimation using R/S (Rescaled Range) analysis. The Hurst value is smoothed and compared against user-defined thresholds to classify the market regime. In trending regimes, the script emphasizes stability by favoring a slower, smoother channel when it proves more accurate over time. In mean-reversion regimes, it deliberately prioritizes a faster model to react sooner to reversion opportunities, similar in spirit to how traders use Bollinger-style behavior.
The result is a clean, professional adaptive channel with inner and outer bands, dynamic gradient fills, and an optional mean-reversion signal layer. A minimalist dashboard summarizes the detected regime, the current Hurst reading, and which internal model is currently preferred.
🔹 Features
🔸 Robust Regime Detection via Hurst Exponent (R/S Analysis)
HOAC uses a robust Hurst Exponent estimate derived from log returns and Rescaled Range analysis. The Hurst value acts as a behavioral filter:
- H > Trend Start threshold suggests trend persistence and directional continuation.
- H < Mean Reversion threshold suggests anti-persistence and a higher likelihood of reverting toward a central value.
Values between thresholds are treated as Neutral, allowing the channel to remain adaptive without forcing a hard bias.
This regime framework is designed to make the channel selection context-aware rather than purely reactive to recent volatility.
🔸 Dual Channel Engine (Fast vs Slow Models)
Instead of relying on one fixed channel, HOAC computes two independent channel candidates:
Fast model: shorter WMA basis and standard deviation window, intended to respond quickly and fit more reactive environments.
Slow model: longer WMA basis and standard deviation window, intended to reduce noise and better represent sustained directional flow.
Each model produces:
- A midline (basis)
- Outer bands (wider deviation)
- Inner bands (tighter deviation)
This structure gives you a clear core zone and an outer envelope that better represents volatility expansion.
🔸 Rolling Optimization Memory (Model Selection by Error)
HOAC includes an internal optimization layer that continuously measures how well each model fits current price action. On every bar, each model’s absolute deviation from the basis is recorded into a rolling memory window. The script then compares total accumulated error between fast and slow models and prefers the one with lower recent error.
This approach does not attempt curve fitting on multiple parameters. It focuses on a simple, interpretable metric: “Which model has tracked price more accurately over the last X bars?”
Additionally:
If the regime is Mean Reversion, the script explicitly prioritizes the fast model, ensuring responsiveness when reversals matter most.
🔸 Optional Output Smoothing (User-Selectable)
The final selected channel can be smoothed using your choice of:
- SMA
- EMA
- HMA
- RMA
This affects the plotted midline and all band outputs, allowing you to tune visual stability and responsiveness without changing the underlying decision engine.
🔸 Premium Visualization Layer (Inner Core + Outer Fade)
HOAC uses a layered band design:
- Inner bands define the core equilibrium zone around the midline.
- Outer bands define an extended volatility envelope for extremes.
Gradient fills and line styling help separate the core from the extremes while staying visually clean. The midline includes a subtle glow effect for clarity.
🔸 Adaptive Bar Tinting Strength (Regime Intensity)
Bar coloring dynamically adjusts transparency based on how far the Hurst value is from 0.5. When market behavior is more decisively trending or mean-reverting, the tint becomes more pronounced. When behavior is closer to random, the tint becomes more subtle.
🔸 Mean-Reversion Signal Layer
Mean-reversion signals are enabled when the environment is not classified as Trending:
- Buy when price crosses back above the lower outer band
- Sell when price crosses back below the upper outer band
This is intentionally a “return to channel” logic rather than a breakout logic, aligning signals with mean-reversion behavior and avoiding signals in strongly trending regimes by default.
🔸 Minimalist Dashboard (HUD)
A compact table displays:
- Current regime classification
- Smoothed Hurst value
- Which model is currently preferred (Fast or Slow)
- Trend flow direction (based on midline slope)
🔹 Calculations
1) Robust Hurst Exponent (R/S Analysis)
The script estimates Hurst using a Rescaled Range approach on log returns. It builds a returns array, computes mean, cumulative deviation range (R), standard deviation (S), then converts RS into a Hurst exponent.
calc_robust_hurst(int length) =>
float r = math.log(close / close )
float returns = array.new_float(length)
for i = 0 to length - 1
array.set(returns, i, r )
float mean = array.avg(returns)
float cumDev = 0.0
float maxCD = -1.0e10
float minCD = 1.0e10
float sumSqDiff = 0.0
for i = 0 to length - 1
float val = array.get(returns, i)
sumSqDiff += math.pow(val - mean, 2)
cumDev += (val - mean)
if cumDev > maxCD
maxCD := cumDev
if cumDev < minCD
minCD := cumDev
float R = maxCD - minCD
float S = math.sqrt(sumSqDiff / length)
float RS = (S == 0) ? 0.0 : (R / S)
float hurst = (RS > 0) ? (math.log10(RS) / math.log10(length)) : 0.5
hurst
This design avoids simplistic proxies and attempts to reflect persistence (trend tendency) vs anti-persistence (mean reversion tendency) from the underlying return structure.
2) Hurst Smoothing
Raw Hurst values can be noisy, so the script applies EMA smoothing before regime decisions.
float rawHurst = calc_robust_hurst(i_hurstLen)
float hVal = ta.ema(rawHurst, i_smoothHurst)
This stabilized hVal is the value used across regime classification, dynamic visuals, and the HUD display.
3) Regime Classification
The smoothed Hurst reading is compared to user thresholds to label the environment.
string regime = "NEUTRAL"
if hVal > i_trendZone
regime := "TRENDING"
else if hVal < i_chopZone
regime := "MEAN REV"
Higher Hurst implies more persistence, so the indicator treats it as a trend environment.
Lower Hurst implies more mean-reverting behavior, so the indicator enables MR logic and emphasizes faster adaptation.
4) Dual Channel Models (Fast and Slow)
HOAC computes two candidate channel structures in parallel. Each model is a WMA basis with volatility envelopes derived from standard deviation. Inner and outer bands are created using different multipliers.
Fast model (more reactive):
float fastBasis = ta.wma(close, 20)
float fastDev = ta.stdev(close, 20)
ChannelObj fastM = ChannelObj.new(fastBasis, fastBasis + fastDev * 2.0, fastBasis - fastDev * 2.0, fastBasis + fastDev * 1.0, fastBasis - fastDev * 1.0, math.abs(close - fastBasis))
Slow model (more stable):
float slowBasis = ta.wma(close, 50)
float slowDev = ta.stdev(close, 50)
ChannelObj slowM = ChannelObj.new(slowBasis, slowBasis + slowDev * 2.5, slowBasis - slowDev * 2.5, slowBasis + slowDev * 1.25, slowBasis - slowDev * 1.25, math.abs(close - slowBasis))
Both models store their structure in a ChannelObj type, including the instantaneous tracking error (abs(close - basis)).
5) Rolling Error Memory and Model Preference
To decide which model fits current conditions better, the script stores recent errors into rolling arrays and compares cumulative error totals.
var float errFast = array.new_float()
var float errSlow = array.new_float()
update_error(float errArr, float error, int maxLen) =>
errArr.unshift(error)
if errArr.size() > maxLen
errArr.pop()
Each bar updates both error histories and computes which model has lower recent accumulated error.
update_error(errFast, fastM.error, i_optLookback)
update_error(errSlow, slowM.error, i_optLookback)
bool preferFast = errFast.sum() < errSlow.sum()
This is an interpretable optimization approach: it does not attempt to brute-force parameters, it simply prefers the model that has tracked price more closely over the last i_optLookback bars.
6) Winner Selection Logic (Regime-Aware Hybrid)
The final model selection uses both regime and rolling error performance.
ChannelObj winner = regime == "MEAN REV" ? fastM : (preferFast ? fastM : slowM)
rawMid := winner.mid
rawUp := winner.upper
rawDn := winner.lower
rawUpInner := winner.upper_inner
rawDnInner := winner.lower_inner
In Mean Reversion, the script forces the fast model to ensure responsiveness.
Otherwise, it selects the lowest-error model between fast and slow.
7) Optional Output Smoothing
After the winner is selected, the script optionally smooths the final channel outputs using the chosen moving average type.
smooth(float src, string type, int len) =>
switch type
"SMA" => ta.sma(src, len)
"EMA" => ta.ema(src, len)
"HMA" => ta.hma(src, len)
"RMA" => ta.rma(src, len)
=> src
float finalMid = i_enableSmooth ? smooth(rawMid, i_smoothType, i_smoothLen) : rawMid
float finalUp = i_enableSmooth ? smooth(rawUp, i_smoothType, i_smoothLen) : rawUp
float finalDn = i_enableSmooth ? smooth(rawDn, i_smoothType, i_smoothLen) : rawDn
float finalUpInner = i_enableSmooth ? smooth(rawUpInner, i_smoothType, i_smoothLen) : rawUpInner
float finalDnInner = i_enableSmooth ? smooth(rawDnInner, i_smoothType, i_smoothLen) : rawDnInner
This preserves decision integrity since smoothing happens after model selection, not before.
8) Dynamic Visual Intensity From Hurst
Transparency is derived from the distance of hVal to 0.5, so stronger behavioral regimes appear with clearer tints.
int dynTrans = int(math.max(20, math.min(80, 100 - (math.abs(hVal - 0.5) * 200))))
Indikator dan strategi
ATR-Normalized VWMA DeviationThis indicator measures how far price deviates from the Volume-Weighted Moving Average ( VWMA ), normalized by market volatility ( ATR ). It identifies significant price reversal points by combining price structure and volatility-adjusted deviation behavior.
The core idea is to use VWMA as a dynamic trend anchor, then measure how far price travels away from it relative to recent volatility . This helps highlight when price has stretched too far and may be due for a reversal or pullback.
How it works:
VWMA deviation is calculated as the difference between price and the VWMA.
That deviation is divided by ATR (Average True Range) to normalize for current volatility.
The script tracks the highest and lowest normalized deviations over the chosen lookback period.
It also tracks price structure (highest/lowest highs/lows) over the same period.
A reversal signal is generated when a historical extreme in deviation aligns with a price structure extreme, and a confirmed reversal candle forms.
You get visual signals and color highlights where these conditions occur.
Settings explained:
Lookback period defines how many bars the script uses to find recent extremes.
ATR length controls how volatility is measured.
VWMA length controls how the volume-weighted moving average is calculated.
Signal filters help refine entries based on price vs deviation behavior.
Display options let you customize how signals and levels appear on the chart.
This indicator is especially useful for spotting potential turning points where price has moved far from VWMA relative to volatility, suggesting possible exhaustion or overextension.
Tips for use:
Combine with broader trend context (higher timeframe support/resistance).
Use with risk management rules (position sizing, stops) — signals are guides, not guaranteed entries.
Adjust lookback and ATR settings based on your trading timeframe and asset volatility.
Smart Gap Concepts [MarkitTick]💡 This indicator automates the identification and classification of price gaps, commonly known as Fair Value Gaps (FVG) or Imbalances, by integrating market structure and volume analysis. Unlike standard gap detectors that simply highlight empty space on a chart, this script applies algorithmic filters to categorize gaps into three distinct phases of market movement: Breakaway, Runaway, and Exhaustion. This helps traders understand the potential context of a move rather than just seeing a support or resistance zone.
● Originality and Utility
The primary innovation of this tool is its dynamic classification system. It moves beyond visual detection by checking the "why" behind the gap. By referencing Swing Highs and Swing Lows (Market Structure) alongside Volume efficiency, it determines if a gap represents a breakout, a trend continuation, or a climatic end to a move. Additionally, the script features an automated mitigation tracking system that removes gaps from the chart once price has re-tested the midpoint, ensuring the visual workspace remains clean and relevant to current price action.
● Methodology
The script operates on a multi-stage logic engine:
• Gap Detection
It first identifies the core imbalance where the Low of the current bar does not overlap with the High of the bar two periods prior (for bullish gaps), ensuring the intervening candle represents a strong displacement.
• Structural Analysis (Breakaway Gaps)
The script monitors Pivot Highs and Lows. If a gap occurs simultaneously with a close beyond a key structural Pivot, it is classified as a "Breakaway Gap." This signals the potential start of a new trend.
• Volume and Time Analysis (Exhaustion Gaps)
To identify potential reversals, the script looks for "Trend Maturity." If a gap forms after a long duration since the last pivot and is accompanied by a volume spike (defined by the Volume Spike Multiplier), it is labeled as an "Exhaustion Gap."
• Continuation (Runaway Gaps)
If a gap is valid but meets neither the Breakaway nor Exhaustion criteria, it is considered a "Runaway Gap," typically found in the middle of an established trend.
• Dynamic Cleanup
The script tracks the midpoint of every active gap. If price creates a lower low (for bullish gaps) or higher high (for bearish gaps) beyond this midpoint, the gap is considered mitigated and is removed from the screen.
📖 How to Use
Traders can utilize the color-coded classifications to gauge market intent:
Breakaway (Default Blue): Watch these zones for potential trend initiations. These are often high-probability areas for a retest entry after a structure break.
Runaway (Default Orange): These indicate strong momentum. They can be used to trail stop-losses or add to winning positions, as price should ideally not close below these gaps in a healthy trend.
Exhaustion (Default Red): Be cautious when these appear. They suggest the current move is overextended and a reversal or complex pullback may be imminent.
• Exhaustion Gap : A Practical Case Study
• Breakaway Gap: A Practical Case Study
• Runaway Gap : A Practical Case Study
⚙️ Inputs and Settings
Min Gap Size (Points): Filters out insignificant gaps smaller than this threshold.
Structure Lookback: Defines the sensitivity of the Pivot detection (Swing High/Low).
Volume Avg Length & Multiplier: Determines what qualifies as a "Volume Spike" for exhaustion logic.
Trend Maturity: The minimum number of bars required to consider a trend "old" enough for an exhaustion signal.
Visual Settings: Custom colors for each gap type and box extension length.
● 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.
High/Low ARDR-ADR-WDRR-DDR V1Tracks the high and Low in 4 different tIme Frames
ARDR-ADR-WDRR-DDR
-You can set your own time frames
-Display lines or boxes
-Each line can have its own label
-Set own colors and linestyles
-Each box can also have their own lines at 75%, 50% and 25% of the box if that's needed
-Toggle wich session to display
-Toggle to auto extend untill Extended time
-Toggle to live update lines/boxes during live priceaction or to display the lines / boxes after the End Time
DDR lines have no history, so after 15:55 the DDR lines disappear and gets drawn again the next day starting at 04:00.
Happy Trading!!
ChromaFlows Momentum Index | LUPENIndicator Guide: ChromaFlows Momentum Index
Overview
The ChromaFlows Momentum Index is a next-generation momentum oscillator designed to filter out market noise and visualize pure trend strength. Unlike traditional indicators that often give conflicting signals, ChromaFlows uses a Consensus Algorithm. It simultaneously analyzes three distinct engines—RSI, Fast Stochastic, and Slow Stochastic—and only lights up when they all agree on the market direction.
The result is a fluid, glowing "Wave" that provides an immediate visual read on market sentiment:
Green Glow: Strong Bullish Consensus (Safe to buy/hold).
Red Glow: Strong Bearish Consensus (Safe to sell/short).
Gray/Neutral: Indecision or Choppy Market (Stay out or tread carefully).
Key Visual Components
1. The Gradient Wave (Main Oscillator)
This is the heartbeat of the indicator. It is usually based on the Slow Stochastic (customizable in settings) but its color is determined by the Consensus Logic.
How to read it: The higher the wave, the more overbought; the lower, the more oversold. However, pay attention to the Glow Intensity. A bright, solid color indicates all underlying indicators are aligned.
2. The SMI Line (Gold Line)
Overlaid on the wave is the SMI (Stochastic Momentum Index) Blau line. This acts as a fast-moving "Signal Line".
Usage: Watch for how this line interacts with the main wave. It leads price action and often signals reversals before they happen.
3. Signal Arrows (Triangles on the Wave)
▲ Cyan Triangle: SMI Crossover UP. This occurs when the Main Wave crosses above the SMI Signal line. This is a potential Long Entry.
▼ Magenta Triangle: SMI Crossover DOWN. This occurs when the Main Wave crosses below the SMI Signal line. This is a potential Short Entry.
4. Hull Trend Markers (Circles/Shapes at Edges)
Located at the very top and bottom of the indicator panel are the Hull Moving Average (HMA) filters.
Bottom Blue/Green Marker: The longer-term Hull Trend is UP.
Top Orange/Red Marker: The longer-term Hull Trend is DOWN.
How to Trade Strategy
✅ The "Flow" Setup (High Probability)
This strategy focuses on taking trades with the momentum consensus.
Wait for the Glow: Look for the Wave to turn Neon Green (Bullish) or Neon Red (Bearish). This confirms momentum is present.
Check the Filter: Ensure the Hull Trend Marker (at the top/bottom) matches the wave color (e.g., Blue marker + Green Wave).
The Trigger: Enter when a Triangle Signal Arrow appears in the direction of the color.
Example: Wave is Green + Cyan Triangle appears = STRONG BUY.
⚠️ The "Reversal" Setup (Aggressive)
Divergence: Price makes a new high, but the ChromaFlows Wave makes a lower high.
Color Shift: The wave changes from Green to Gray (Neutral), indicating momentum is dying.
The Trigger: Wait for a Magenta Triangle (Cross Down) to confirm the reversal.
⛔ The "No-Trade" Zone
When the Wave is Gray and hovering near the zero line, the markets are ranging or the indicators are conflicting. It is statistically safer to stand aside until the "ChromaFlow" (Green or Red color) returns.
Settings Configuration
Wave Source: Choose which oscillator drives the main wave (Default: Stochastic_2).
Consensus Sensitivity: Adjust the periods of the RSI and Stochastics to make the "Glow" appear faster (more signals) or slower (more filtering).
Visuals: All colors are fully customizable via Hex codes to match your chart theme.
Adaptive Scaled LevelsThis indicator allows users to manually define a list of price levels (e.g., round or psychological numbers) and automatically scales them to fit any asset's current price range using an intelligent anchor point. It then plots dynamic horizontal zones ideal for identifying potential supply/demand or reaction areas.
How It Works (Technical Methodology)
Manual Price List Input
Users enter a comma-separated list of price levels via a text area input (default example: 50,100,...,1400). These act as a "template" grid – often round numbers, psychological levels, or custom targets.
Auto-Scaling Logic (Core Innovation)
When enabled:
Calculates the average of the input list.
Determines a smart anchor price:
Default (Lock = 0): Close price of the highest-volume bar in the last user-defined lookback period (default 200 bars), fetched from a selectable timeframe (default Daily) via request.security().
Override: User can manually lock the anchor to any fixed price.
Computes a scale factor = Anchor / List Average.
Multiplies every input level by this factor to adapt the entire grid to the current market (e.g., scales low-price templates to BTC's 60k+ range).
Zone Construction
For each scaled level:
Creates a horizontal box centered on the level.
Height = Level × user-defined percentage (default 0.5%) for volatility-adjusted thickness.
Zones extend infinitely to the right for continuous reference.
Supply/Demand Coloring
Levels above current close: Supply color (default light gray) – potential resistance/overhead supply.
Levels below current close: Demand color (default cyan) – potential support/underlying demand.
Visual Elements
Transparent filled boxes with borders.
Optional labels showing "S" (Supply) or "D" (Demand) plus exact price.
Clean, non-cluttering design – redraws only on last bar for performance.
How to Use
This tool is perfect for plotting adaptive psychological/round number grids across any asset without manual adjustment.
Common Template: Use evenly spaced round numbers (e.g., 100 increments) as input – the script handles scaling.
BTC/ETH/Crypto: Enable auto-scaling with Daily timeframe anchor for high-volume alignment (often near fair value).
Forex/Stocks: Lower zone height % for tighter zones; use shorter lookback or lock anchor for stability.
Trading Applications:
Anticipate reactions/bounces at scaled levels (confluence with price action, volume, or order blocks).
Supply zones (above price): Potential short entries or take-profit targets.
Demand zones (below price): Potential long entries or stop-loss placement below.
Override anchor for specific analysis (e.g., lock to all-time high).
Best Practices: Combine with trend direction, higher-timeframe structure, or liquidity concepts for higher-probability setups.
Highly versatile – works on any timeframe/asset, especially volatile ones like cryptocurrencies where fixed levels quickly become irrelevant.
Disclaimer
This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
BK AK-Warfare Formations👑 BK AK-Warfare Formations — Form the pride. Take the high ground. Strike with wisdom. 👑
Built for traders who think like commanders: see the formation, plan the maneuver, execute the strike.
🎖️ Full Credit (Engine + Logic — Trendoscope)
Original foundation (Trendoscope Auto Chart Patterns):
The entire pattern engine (multi-zigzag scanning, pivot logic, trendline-pair validation, geometric classification, drawing framework, overlap handling, and pattern caps) is by Trendoscope—one of the best coders on TradingView and the creator of this indicator’s core.
I’m not rewriting his war machine. I’m upgrading the interface and tactical readability so you can see structure faster and act cleaner.
🧩 BK Enhancements (on top of Trendoscope)
Built for clarity under pressure:
Short-form formation tags so your chart stays readable (AC/DC/RC/RWE/FWE/CT/DT/etc.)
Label transparency controls (text + background), including separate controls for short labels
Hover tooltips (toggle): hover a label to see the full pattern name + bias (Bullish/Bearish/Neutral)
Alerts upgraded with bias + category filtering (Channel / Wedge / Triangle)
Pattern border extension (optional): extends the two boundary lines forward by N bars so the battlefield edges stay visible (not extending random zigzag legs)
Everything else remains Trendoscope’s architecture and detection logic.
🧠 What It Does
Auto-detects and labels:
Channels
AC — Ascending Channel
DC — Descending Channel
RC — Ranging Channel
Wedges
RWE / FWE — Rising/Falling Wedge (Expanding)
RWC / FWC — Rising/Falling Wedge (Contracting)
Triangles
ATC / DTC — Asc/Desc Triangle (Contracting)
ATE / DTE — Asc/Desc Triangle (Expanding)
CT — Converging Triangle
DT — Diverging Triangle
You get clean battlefield tags (short codes) and optional hover briefings (full name + bias) without clutter.
🧭 How It Detects (So You Know It’s Not Random)
Trendoscope’s engine does this in a disciplined sequence:
Multi-Zigzag Sweep
Multiple zigzag levels scan the same market from different swing sensitivities.
Pivot Structure Validation (5 or 6 pivots)
A formation is only valid when pivot sequencing produces a legit trendline pair.
Trendline-Pair Rules
Upper boundary anchors to pivot highs
Lower boundary anchors to pivot lows
Geometry is measured (parallel / converging / diverging) to classify channel vs wedge vs triangle
Optional quality filters reduce warped/low-quality shapes (bar ratio checks, overlap avoidance, max pattern caps)
You’re not getting “art.” You’re getting validated geometry.
⚙️ Core Controls (What You Actually Tune)
Zigzag length/depth per level: swing sensitivity (faster vs cleaner)
Pivots used (5 or 6): tighter vs broader structures
Error/Flat thresholds: tolerance + what qualifies as “flat”
Avoid overlap: prevents stacking junk on top of junk
Max patterns: keeps the chart from becoming noise
Label system: short codes, transparency, tooltips, bias visibility
Border extension: projects the structure edges forward for planning
🗺️ Read the Battlefield (Tactical Translation)
AC (Ascending Channel): trend carry; buy pullbacks to the lower wall, manage risk outside structure
DC (Descending Channel): late down-leg; watch for momentum shift + reclaim = tactical reversal zone
RWE (Rising Wedge): distribution bias; break + failed retest is where weakness shows
CT / DT (Triangles): compression → expansion; plan edges, not the middle
Structure is the map. Bias is the compass. Your risk plan is the sword.
🧑🏫 Mentor A.K. (Respect Where It’s Due)
A.K. is the discipline behind this project.
Patience. Clean execution. No gambling. No chasing.
His standard is in every choice: reduce noise, sharpen structure, force clarity.
This is why the labels are tight, the tooltips are direct, and the features serve execution—not ego.
🤝 Give Forward (The Code of the Camp)
If this indicator sharpens your edge:
Teach one trader how to read structure with discipline (not hype)
Share process, not just screenshots (entries, invalidation, management)
If you build on open work, credit loudly and improve responsibly
A king builds men. A lion builds courage. A camp survives because knowledge moves forward.
👑 King Solomon’s Standard
This is warfare—market warfare—so we move by wisdom, not emotion:
“By wise counsel you will wage your own war, and in a multitude of counselors there is safety.” — Proverbs 24:6
BK AK-Warfare Formations — where formation meets judgment, and judgment meets execution.
Gd bless. 🙏
tncylyv - Improved Delta Volume BubbleThis script is a specialized modification and structural upgrade of the excellent "Delta Volume Bubble " by tncylyv.
While the original tool provided a fantastic foundation for statistical volume analysis, this "Zero Float" Edition was built to solve specific visual challenges faced by active traders—specifically the issue of indicators "floating" or disconnecting from price when zooming in on lower timeframes.
The Straight Improvements
This version turns a "Signal Indicator" into a complete "Trading System" with five specific upgrades:
1. Visual Stability (The "Zero Float" Fix)
Original: Used complex coordinates that could desynchronize, causing bubbles to drift or float away from candles on fast charts (1m/5m).
My Upgrade: Implemented "Magnetic Anchoring." Labels and bubbles are now physically locked to the candle wicks. They never drift, overlap, or float, no matter how much you zoom or resize the chart.
2. Cognitive Load (The HUD)
Original: Displayed raw numbers inside colored circles, requiring you to memorize color codes.
My Upgrade: Replaced numbers with Semantic Text Labels (e.g., "ABSORB", "SQUEEZE", "MOMENTUM"). You can read the market intent instantly without decoding it.
3. Regime Adaptation (AI Engine)
Original: Used a fixed threshold (e.g., Z-Score > 2.0).
My Upgrade: Added an Adaptive Learning Window. The script scans recent volatility to automatically raise the threshold during choppy markets (filtering noise) and lower it during quiet sessions (catching subtle entries).
4. Market Memory (Smart Structure)
Original: Signals disappeared into history.
My Upgrade: Draws Support/Resistance Rails extending from major volume events. This helps you visualize exactly where institutions are defending their positions.
5. Robust Data Handling
My Upgrade: Added a Hybrid Fallback Engine. If granular 1-minute data isn't available (e.g., on historical charts), the script seamlessly switches to an estimation model so the indicator never "breaks" or disappears.
Core Logic
Z-Score Normalization: We don't look at raw volume; we look at statistical anomalies (Standard Deviations).
Absorption: Detects "Effort vs. Result"—high volume with tiny price movement (Trapped Traders).
Squeeze: Highlights areas where a breakout is imminent due to volatility compression.
Credits
Original Concept & Code: tncylyv (Delta Volume Bubble ). This script would not exist without his brilliant groundwork.
Modifications: Visual Anchoring, HUD Text System, AI Thresholding, and Structure Rails added in this edition.
This script is open-source to keep the spirit of the original author alive. Use it to understand the "Why" behind the move.
Supply & Demand Zones (Volume-Based)📌 Supply & Demand Zones (Volume-Based) — Indicator Description
Overview
This indicator visually highlights potential supply and demand price zones using historical candle structure combined with relative volume behavior.The zones are intended to help users observe areas of increased market activity where price has previously reacted. This tool is designed for visual analysis only.
How the Zones Are Identified
Demand zones are highlighted when price shows a strong bullish reaction following a bearish candle.Supply zones are highlighted when price shows a strong bearish reaction following a bullish candle.Relative volume is used as context, not as a predictive input, to classify zones into higher or lower activity levels.Zones automatically invalidate when price structurally breaks them.
About the Percentage Display
The percentage shown on a zone represents normalized relative volume strength at the time the zone was formed.This value is not a probability, not a success rate, and not a performance metric.It should not be interpreted as a prediction or trading signal.Percentages are displayed only for active zones and are removed once a zone is invalidated.
How This Indicator Is Intended to Be Used
As a visual reference tool for identifying historical supply and demand areas.As a contextual overlay alongside other forms of technical analysis.To observe how price behaves when revisiting previously active zones.This indicator does not suggest trade direction, entry timing, or exit levels.
Important Notes & Limitations
All zones are derived from historical price and volume data.Market conditions change, and historical zones may lose relevance over time.No trading decisions should be made based solely on this indicator.Users are encouraged to apply their own analysis and risk management.
Disclaimer
This indicator is provided for educational and informational purposes only.It does not constitute trading, investment, or financial advice.The author assumes no responsibility for decisions made using this tool.
HTF Fractal Boxes by TAAKOWhat This Indicator Does
This indicator displays higher timeframe (HTF) candlesticks as an overlay on your current chart, allowing you to see larger timeframe price action without switching charts.
Key Features:
Shows the last 3 completed HTF candles (configurable)
Displays a 4th candle with dashed lines showing the current forming HTF bar
Each candle includes full OHLC data: body (open/close) and wicks (high/low)
Candles are color-coded: green for bullish, red for bearish, blue for neutral
Positioned on the right side of your chart for easy reference
Automatically scales with your Y-axis price movements
FNO Simple Signals: EMA 9/21 + VWAP by Avis
How it behaves on chart (5 or 15 min F&O):
BUY signal: EMA 9 crosses above EMA 21 and price is above VWAP → one green “BUY” triangle under that candle.
SELL signal: EMA 9 crosses below EMA 21 and price is below VWAP → one red “SELL” triangle above that candle.
Below is a clean, stable indicator for F&O: EMA 9/21 + VWAP + very light ORB, no risky time arithmetic.
Advanced Multi-Level S/R ZonesAdvanced Multi-Level S/R Zones: The Comprehensive Guide
1. Introduction: The Evolution of Support & Resistance:
Support and Resistance (S/R) is the backbone of technical analysis. However, traditional methods of drawing these levels are often plagued by subjectivity. Two traders looking at the same chart will often draw two different lines. Furthermore, standard indicators often treat every price point equally, ignoring the critical context of Volume and Time.
The Advanced Multi-Level S/R Zones script represents a paradigm shift. It moves away from subjective line drawing and toward Quantitative Zoning. By utilizing statistical measures of variability (Standard Deviation, MAD, IQR) combined with Volume-Weighting and Time-Decay algorithms, this tool identifies where price is mathematically most likely to react. It treats S/R not as thin lines, but as dynamic zones of probability.
2. Core Logic and Mathematical Foundation:
To understand how to use this tool optimally, one must understand the "engine" under the hood. The script operates on four distinct pillars of logic:
A. Session-Based Data Collection:
The script does not look at every single tick. Instead, it aggregates data into "Sessions" (daily bars by default logic). It extracts the High, Low, and Total Volume for every session within the user-defined lookback period. This filters out intraday noise and focuses on the macro structure of the market.
B. Adaptive Statistical Variability:
Most Bollinger Band-style indicators use Standard Deviation (StdDev) to measure width. However, StdDev is heavily influenced by outliers (extreme wicks). This script offers a sophisticated Adaptive Method-Skewness Detection: The script calculates the skewness of the price distribution. Adaptive Selection: If the data is highly skewed (lots of outliers, typical in Crypto), it switches to MAD (Median Absolute Deviation). MAD is robust and ignores outliers. If the data is moderately skewed, it uses IQR (Interquartile Range). If the data is normal (Gaussian), it uses StdDev.
Benefit: This ensures the zone widths are accurate regardless of whether you are trading a stable Forex pair or a volatile Altcoin.
C. The Weighting Engine (Volume + Time)
Not all price history is equal. This script assigns a "Weight Score" to every session based on two factors:
Volume Weighting: Sessions with massive volume (institutional activity) are given higher importance. A high formed on low volume is less significant than a high formed on peak volume.
Time Decay: Recent price action is more relevant than price action from 50 bars ago. The script applies a decay factor (default 0.85). This means a session from yesterday has 100% impact, while a session from 10 days ago has significantly less influence on the zone calculation.
D. Clustering Algorithm
Once the data is weighted, the script runs a clustering algorithm. It looks for price levels where multiple session Highs (for Resistance) or Lows (for Support) congregate.
It requires a minimum number of points to form a zone (User Input: minPoints).
It merges nearby levels based on the Cluster Separation Factor.
This results in "Primary," "Secondary," and "Tertiary" zones based on the strength and quantity of data points in that cluster.
3. Detailed Features and Inputs Breakdown:
Group 1: Main Settings
Lookback Sessions (Default: 10): Defines how far back the script looks for pivots. A higher number (e.g., 50) creates long-term structural zones. A lower number (e.g., 5) creates short-term scalping zones.
Variability Method (Adaptive): As described above, leave this on "Adaptive" for the best results across different assets.
Zone Width Multiplier (Default: 0.75): Controls the vertical thickness of the zones. Increase this to 1.0 or 1.5 for highly volatile assets to ensure you catch the wicks.
Minimum Points per Zone: The strictness filter. If set to 3, a price level must be hit 3 times within the lookback to generate a zone. Higher numbers = fewer, but stronger zones.
Group 2: Weighting
Volume-Weighted Zones: Crucial for identifying "Smart Money" levels. Keep this TRUE.
Time Decay: Ensures the zones update dynamically. If price moves away from a level for a long time, the zone will fade in significance.
ATR-Normalized Zone Width: This is a dynamic volatility filter. If TRUE, the zone width expands and contracts based on the Average True Range. This is vital for maintaining accuracy during market breakouts or crashes.
Group 3: Zone Strength & Scoring
The script calculates a "Score" (0-100%) for every zone based on:
-Point Count: More hits = higher score.
-Touches: How many times price wicked into the zone recently.
-Intact Status: Has the zone been broken?
-Weight: Volume/Time weight of the constituent points.
-Track Zone Touches: Looks back n bars to see how often price respected this level.
-Touch Threshold: The sensitivity for counting a "touch."
Group 4: Visuals & Display
Extend Bars: How far to the right the boxes are drawn.
Show Labels: Displays the Score, Tier (Primary/Secondary), and Status (Retesting).
Detect Pivot Zones (Overlap): This is a killer feature. It detects where a Support Zone overlaps with a Resistance Zone.
Significance: These are "Flip Zones" (Old Resistance becomes New Support). They are colored differently (Orange by default) and represent high-probability entry areas.
Group 5: Signals & Alerts
Entry Signals: Plots Buy/Sell labels when price rejects a zone.
Detect Break & Retest: specifically looks for the "Break -> Pullback -> Bounce" pattern, labeled as "RETEST BUY/SELL".
Proximity Alert: Triggers when price gets within x% of a zone.
4. Understanding the Visuals (Interpreting the Chart)
When you load the script, you will see several visual elements. Here is how to read them:
The Boxes (Zones)
Red Shades: Resistance Zones.
Dark Red (Solid Border): Primary Resistance. The strongest wall.
Lighter Red (Dashed Border): Secondary/Tertiary. Weaker, but still relevant.
Green Shades: Support Zones.
Dark Green (Solid Border): Primary Support. The strongest floor.
Orange Boxes: Pivot Zones. These are areas where price has historically reacted as both support and resistance. These are the "Line in the Sand" for trend direction.
The Labels & Emojis
The script assigns emojis to zone strength:
🔥 (Fire): Score > 80%. A massive level. Expect a strong reaction.
⭐ (Star): Score > 60%. A solid structural level.
✓ (Check): Score > 40%. A standard level.
"⟳ RETESTING": Appears when a zone was broken, and price is currently pulling back to test it from the other side.
The Dashboard (Top Right)
A statistics table provides a "Head-Up Display" for the asset:
High/Low σ (Sigma): The variability of the highs and lows. If High σ is much larger than Low σ, it implies the tops are erratic (wicks) while bottoms are clean (flat).
Method: Shows which statistical method the Adaptive engine selected (e.g., "MAD (auto)").
ATR: Current volatility value used for normalization.
5. Strategies for Optimum Output
To get the most out of this script, you should not just blindly follow the lines. Use these specific strategies:
Strategy A: The "Zone Fade" (Range Trading)
This works best in sideways markets.
Identify a Primary Support (Green) and Primary Resistance (Red).
Wait for price to enter the zone.
Look for the "SUPPORT BOUNCE" or "RESISTANCE REJECTION" signal label.
Entry: Enter against the zone (Buy at support, Sell at resistance).
Stop Loss: Place just outside the zone width. Because the zones are calculated using volatility stats, a break of the zone usually means the trade is invalid.
Strategy B: The "Pivot Flip" (Trend Following)
This is the highest probability setup in trending markets.
Look for an Orange Pivot Zone.
Wait for price to break through a Resistance Zone cleanly.
Wait for the price to return to that zone (which may now turn Orange or act as Support).
Look for the "RETEST BUY" label.
Logic: Old resistance becoming new support is a classic sign of trend continuation. The script automates the detection of this exact geometric phenomenon.
Strategy C: The Volatility Squeeze
Look at the Dashboard. Compare High σ and Low σ.
If the values are dropping rapidly or becoming very small, the zones will contract (become narrow).
Narrow zones indicate a "Squeeze" or compression in price.
Prepare for a violent breakout. Do not fade (trade against) narrow zones; look to trade the breakout.
6. Optimization & Customization Guide
Different markets require different settings. Here is how to tune the script:
For Crypto & Volatile Stocks (Tesla, Nvidia)
Method: Set to Adaptive (Mandatory, as these assets have "Fat Tails").
Multiplier: Increase to 1.0 - 1.25. Crypto wicks are deep; you need wider zones to avoid getting stopped out prematurely.
Lookback: 20-30 sessions. Crypto has a long memory; short lookbacks generate too much noise.
For Forex (EURUSD, GBPJPY)
Method: You can force StdDev or IQR. Forex is more mean-reverting and Gaussian.
Multiplier: Decrease to 0.5 - 0.75. Forex levels are often very precise to the pip.
Volume Weighting: You may turn this OFF for Forex if your broker's volume data is unreliable (since Forex has no centralized volume), though tick volume often works fine.
For Scalping (1m - 15m Timeframes)
Lookback: Decrease to 5-10. You only care about the immediate session history.
Decay Factor: Decrease to 0.5. You want the script to forget about yesterday's price action very quickly.
Touch Lookback: Decrease to 20 bars.
For Swing Trading (4H - Daily Timeframes)
Lookback: Increase to 50.
Decay Factor: Increase to 0.95. Structural levels from weeks ago are still highly relevant.
Min Points: Increase to 3 or 4. Only show levels that have been tested multiple times.
7. Advantages Over Standard Tools:
Feature Standard S/R Indicator, Advanced Multi-Level S/R Calculation, Uses simple Pivots or Fractals, Uses Statistical Distributions (MAD/IQR). Zone Width Arbitrary or Fixed Adaptive based on Volatility & ATR.
Context Ignores Volume Volume Weighted (Smart Money tracking).
Time Relevance Old levels = New levels Time Decay (Recency bias applied).
Overlaps Usually ignores overlaps Detects Pivot Zones (Res/Sup Flip).
Scoring None 0-100% Strength Score per zone.
8. Conclusion:
The Advanced Multi-Level S/R Zones script is not just a drawing tool; it is a statistical analysis engine. By accounting for the skewness of data, the volume behind the moves, and the decay of time, it provides a strictly objective roadmap of the market structure.
For the optimum output, combine the Pivot Zone identification with the Retest Signals. This aligns you with the underlying flow of order blocks and prevents trading against the statistical probabilities of the market.
#BLTA - CARE 7891🔷 #BLTA - CARE 7891 is an overlay toolkit designed to support structured trading preparation and chart reading. It combines a manual Trade Box + Lot Size/Risk panel, session background highlights (NY time), confirmed Previous Day/Week High-Low levels, an Asian range liquidity box, a 1H ZigZag market-structure projection, and an imbalance map (FVG / OG / VI) with an optional dashboard.
This script is an indicator (not a strategy). It does not place orders and is intended for planning, risk visualization, and market context.
✅ Main Modules
1) 💸 Risk Module (Trade Box + Lot Calculation + Table)
A complete manual trade-planning tool:
Pick an Entry Point (EP) and Stop Loss (SL) directly on the chart using input.price(..., confirm=true).
Automatically calculates:
Cash at Risk
SL distance (pips) (Forex-aware)
Lot size based on your:
Account balance
Risk %
Units per lot
Account base currency (with conversion if needed)
Draws:
Risk box (EP ↔ SL)
Target box (RR-based TP)
Displays a clean table panel with the key values.
🔁 Re-confirm Mode (Wizard)
Use “Re-confirm Trade Box Points” to force a clean logical reset and re-pick EP/SL/time anchors:
Shows temporary EP/SL labels
Shows a small wizard table guiding you step-by-step
Turn it OFF to return to normal risk table + boxes
Tip: If your chart timeframe changes or you want a fresh selection, Re-confirm mode is the safest way to reset everything cleanly.
2) 🎨 Session Visualization (New York Time)
Highlights chart background for these windows:
Day Division (17:00–17:01 NY)
London (03:00–05:00 NY) + sub-windows
New York (08:00–10:30 NY) + sub-windows
Colors are fully configurable from inputs.
3) 📰 Confirmed PDH/PDL (Previous Days)
Optional module that plots confirmed Previous Day High (PDH) and Previous Day Low (PDL):
Trading day is defined as 17:00 → 17:00 NY
Lines start exactly at the candle where the high/low occurred
Lines extend forward and can freeze when price touches them
Configurable: days to keep, style, width, and “stop on hit”
4) 📅 Confirmed Weekly High/Low (Previous Weeks)
Optional module that plots confirmed Weekly High/Low:
Confirmation occurs at Sunday 17:00 NY (typical FX week boundary)
Lines begin at the candle where the weekly extremes formed
Extends forward and can freeze on touch
Configurable: weeks to keep, style, width, stop-on-hit
5) 🈵 Asian Range Liquidity Box
Draws a session box that tracks high/low and optional midline (50%):
Uses New York time
Dynamic updates while session is active
Optional mid label and configurable line style/width
6) 📈 Market Structure - ZigZag (1H projected)
A ZigZag structure engine calculated on 1H and projected onto any timeframe:
Configurable:
Length
Source type (High/Low or Open/Close)
Colors and width
Opacity when viewing non-1H charts
Optional live extension of the last leg
Includes safe cleanup when toggling OFF (no leftover objects)
7) 📊 Imbalance Detector (FVG / OG / VI) + Dashboard
Detects and draws:
Fair Value Gaps (FVG)
Opening Gaps (OG)
Volume Imbalances (VI)
Optional dashboard shows frequencies and fill rates.
Attribution / Credits
This module is inspired by / adapted from the public concept widely known as “Imbalance Detector” (LuxAlgo-style logic). This script is independently packaged and integrated as part of the toolkit with additional modules and custom structure.
⚙️ How to Use (Quick Steps)
Add the indicator to the chart (overlay).
Enable 💸 Risk Module if you want trade planning.
Go to Trade Box Location and pick:
Entry Point (EP)
Stop Loss (SL)
Time anchors for box edges
Adjust:
Account balance, risk %, units per lot, RR target
Enable additional modules as needed:
Session backgrounds
PDH/PDL
Weekly High/Low
Asian range box
ZigZag
Imbalances + dashboard
🔎 Notes & Limitations
This script is for visual planning and context, not trade execution.
Lot sizing is based on the selected EP/SL and your inputs; always double-check broker rules, symbol specifications, and contract size.
Object-heavy features (boxes/lines/tables) may increase load on lower-end devices or very small timeframes.
TICK.US Dashboard 5mIt's a very simple script, It displays the TICK.US Timeframe 5 mn on your template
High-Probability Scalper (Market Open)Market open is where volatility is real, spreads are tight, and momentum shows itself early. This scalping strategy is built specifically to operate during that window, filtering out low-quality signals that usually appear later in the session.
Instead of trading all day, the logic is restricted to the first 90 minutes after market open, where continuation moves and fast pullbacks are more reliable.
What This Strategy Does
This script looks for short-term momentum alignment using:
Fast vs slow EMA structure
RSI confirmation to avoid chasing extremes
ATR-based risk control
Session-based filtering to trade only when volume matters
It’s designed for intraday scalping, not swing trading.
Core Trading Logic
1. Market Open Filter
Trades are allowed only between 09:30 – 11:00 exchange time.
This avoids low-liquidity chop and focuses on the period where most breakouts and reversals form.
2. Trend Confirmation
Bullish bias: 9 EMA crosses above 21 EMA
Bearish bias: 9 EMA crosses below 21 EMA
This keeps trades aligned with short-term direction instead of random entries.
3. Momentum Check (RSI)
RSI is used as a quality filter, not as an overbought/oversold signal.
Long trades only when RSI is strong but not extended
Short trades only when RSI shows weakness without exhaustion
This removes late entries and reduces whipsaws.
Entries & Exits
Entries
Executed only on confirmed candles
No intrabar repainting
One position at a time
Risk Management
Stop-loss based on ATR
Take-profit calculated using a fixed risk–reward ratio
Same structure for both long and short trades
This keeps risk consistent across different symbols and volatility levels.
Why This Strategy Works Better at Market Open
Volume is highest
False breakouts are fewer
EMA crosses have follow-through
RSI behaves more cleanly
By not trading all day, the strategy avoids most of the noise that kills scalpers.
Best Use Cases
Index futures
High-liquidity stocks
Major crypto pairs during active sessions
1m to 5m timeframes
What This Strategy Is NOT
Not a martingale
Not grid-based
Not designed for ranging markets
Not a “set and forget” system
It’s a controlled scalping template meant for disciplined execution.
How to Use It Properly
Test on multiple symbols
Adjust ATR length for volatility
Tune RSI ranges per market
Always forward-test before live alerts
Final Note
This strategy focuses on structure, timing, and risk, not indicator stacking.
If you trade the open, this gives you a clear framework instead of emotional entries.
If you want:
Alerts
Session customization
News filters
Partial exits
You can extend this logic without breaking the core system.
S&D Trend Pullback StrategyThis is simple indicator for myself to alert me when in trend pullback and entry.
Use in M5 chart.
SL put 30-50pips
TP can set 30-90pips
RSI Swing + VWAP + EMA + Camarilla + PDH/PDL+CPRThis script provide the follwing -
1. Daily CPR level
2. Camarilla S3/R3
3. Previous Day High/Low (PDH/PDL)
4. Dynamic VWAP
5. Dynamic EMA 20/200
6. Dynamic RSi Swing
Dec 10
Release Notes
This script provide the follwing -
1. Daily CPR level
2. Camarilla S3/R3
3. Previous Day High/Low (PDH/PDL)
4. Dynamic VWAP
5. Dynamic EMA 20/200/36
6. Dynamic RSi Swing
Which is better: 36 EMA or 36 SMA for Support/Resistance?
✔ 36 EMA (Exponential Moving Average)
Better for intraday, short-term trading, scalping, and momentum trading.
Why?
Reacts faster to price.
Captures trend shifts early.
Works great when market is trending or volatile.
Most traders use EMA for dynamic support/resistance → works better because of crowd behavior.
Ideal for:
NIFTY, BANKNIFTY, FINNIFTY intraday | Options entries | Trend continuation trades.
Why 20 EMA is Important
The 20 EMA is one of the most widely used moving averages for intraday, swing, and positional trading because it captures short-term trend strength and momentum.
📌 20 EMA Works Best For
✔ Intraday trend identification
✔ Momentum continuation entries
✔ Dynamic support/resistance
✔ Quick reversal detection
✔ Options trading (NIFTY/BNF)
✔ Breakout & pullback trades
EMA 200 – Why It’s Extremely Important
The 200 EMA represents the long-term trend and is respected by:
Institutions
Algo systems
Big traders
Swing traders
Index traders
It acts like a major wall of support or resistance.
💡 What EMA 200 Tells You
✔ Long-term trend direction
Price above 200 EMA → Long-term uptrend
Price below 200 EMA → Long-term downtrend
✔ Strong trend reversal signals
When price crosses the 200 EMA on 15m/1h/1D charts → a deeper trend change is possible.
✔ Institutional support/resistance
Very powerful bounce/rejection zones
Many markets reverse exactly at 200 EMA
What is Previous Day High (PDH)?
The highest price the market reached in the previous trading session.
Why PDH is Important?
Acts as strong resistance
Breakout level for uptrend
Sellers often defend this zone
If broken with volume → strong bullish momentum
🔴 What is Previous Day Low (PDL)?
The lowest price the market reached in the previous trading session.
Why PDL is Important?
Acts as strong support
Breakdown level for downtrend
Buyers defend this level
If broken with volume → strong bearish trend
📌 How PDH/PDL Help in Intraday Trading
1️⃣ Range Breakout Trades
If price breaks PDH → bullish breakout (Buy CE)
If price breaks PDL → bearish breakdown (Buy PE)
What is Camarilla R3?
R3 = Resistance Level 3 in the Camarilla Pivot system.
Why R3 is important?
Acts as a major intraday resistance
Price often reverses from R3
If broken with force → strong uptrend starts
Many traders use R3 as a decision zone
Typical Market Behavior at R3
Rejection from R3 → Sell/PE opportunity
Break + Retest above R3 → CE opportunity
🔴 What is Camarilla S3?
S3 = Support Level 3 in the Camarilla Pivot system.
Why S3 is important?
Acts as a major intraday support
Buyers defend this zone
Breakdown of S3 → strong fall
S3 is often a bounce zone in the morning
Typical Market Behavior at S3
Bounce from S3 → Buy/CE opportunity
Break + Retest below S3 → PE opportunity
📌 Trader Logic: R3 & S3 Zones
⭐ 1. Range Reversal Strategy (Most Popular)
At R3 → Sell/PE
At S3 → Buy/CE
What is VWAP?
VWAP = Volume Weighted Average Price
It shows the average price at which most trading has happened during the day, based on both price and volume.
It resets every day at market open.
🔥 Why VWAP Is So Powerful?
VWAP is used by:
Institutions
Algo traders
Scalpers
Intraday traders
Dec 10
Release Notes
This script provide the follwing -
1. Daily CPR level
2. Camarilla S3/R3
3. Previous Day High/Low (PDH/PDL)
4. Dynamic VWAP
5. Dynamic EMA 20/200
6. Dynamic RSi Swing
3 hours ago
Release Notes
This script provide the follwing -
1. Daily CPR level
2. Camarilla S3/R3
3. Previous Day High/Low (PDH/PDL)
4. Dynamic VWAP
5. Dynamic EMA 20/200/36
6. Dynamic RSi Swing
Which is better: 36 EMA or 36 SMA for Support/Resistance?
✔ 36 EMA (Exponential Moving Average)
Better for intraday, short-term trading, scalping, and momentum trading.
Why?
Reacts faster to price.
Captures trend shifts early.
Works great when market is trending or volatile.
Most traders use EMA for dynamic support/resistance → works better because of crowd behavior.
Ideal for:
NIFTY, BANKNIFTY, FINNIFTY intraday | Options entries | Trend continuation trades.
Why 20 EMA is Important
The 20 EMA is one of the most widely used moving averages for intraday, swing, and positional trading because it captures short-term trend strength and momentum.
📌 20 EMA Works Best For
✔ Intraday trend identification
✔ Momentum continuation entries
✔ Dynamic support/resistance
✔ Quick reversal detection
✔ Options trading (NIFTY/BNF)
✔ Breakout & pullback trades
EMA 200 – Why It’s Extremely Important
The 200 EMA represents the long-term trend and is respected by:
Institutions
Algo systems
Big traders
Swing traders
Index traders
It acts like a major wall of support or resistance.
💡 What EMA 200 Tells You
✔ Long-term trend direction
Price above 200 EMA → Long-term uptrend
Price below 200 EMA → Long-term downtrend
✔ Strong trend reversal signals
When price crosses the 200 EMA on 15m/1h/1D charts → a deeper trend change is possible.
✔ Institutional support/resistance
Very powerful bounce/rejection zones
Many markets reverse exactly at 200 EMA
What is Previous Day High (PDH)?
The highest price the market reached in the previous trading session.
Why PDH is Important?
Acts as strong resistance
Breakout level for uptrend
Sellers often defend this zone
If broken with volume → strong bullish momentum
🔴 What is Previous Day Low (PDL)?
The lowest price the market reached in the previous trading session.
Why PDL is Important?
Acts as strong support
Breakdown level for downtrend
Buyers defend this level
If broken with volume → strong bearish trend
📌 How PDH/PDL Help in Intraday Trading
1️⃣ Range Breakout Trades
If price breaks PDH → bullish breakout (Buy CE)
If price breaks PDL → bearish breakdown (Buy PE)
What is Camarilla R3?
R3 = Resistance Level 3 in the Camarilla Pivot system.
Why R3 is important?
Acts as a major intraday resistance
Price often reverses from R3
If broken with force → strong uptrend starts
Many traders use R3 as a decision zone
Typical Market Behavior at R3
Rejection from R3 → Sell/PE opportunity
Break + Retest above R3 → CE opportunity
🔴 What is Camarilla S3?
S3 = Support Level 3 in the Camarilla Pivot system.
Why S3 is important?
Acts as a major intraday support
Buyers defend this zone
Breakdown of S3 → strong fall
S3 is often a bounce zone in the morning
Typical Market Behavior at S3
Bounce from S3 → Buy/CE opportunity
Break + Retest below S3 → PE opportunity
📌 Trader Logic: R3 & S3 Zones
⭐ 1. Range Reversal Strategy (Most Popular)
At R3 → Sell/PE
At S3 → Buy/CE
What is VWAP?
VWAP = Volume Weighted Average Price
It shows the average price at which most trading has happened during the day, based on both price and volume.
It resets every day at market open.
🔥 Why VWAP Is So Powerful?
VWAP is used by:
Institutions
Algo traders
Scalpers
Intraday traders
BK AK-Flag Formations🏴☠️ BK AK-Flag Formations — Raise the standard. Drive the line. Continue the assault. 🏴☠️
Built for traders who exploit momentum with discipline: flagpoles, flags, and pennants detected, tagged, and briefed—so you press advantage instead of hesitating.
🎖️ Full Credit (Engine + Logic — Trendoscope)
Original foundation (Trendoscope Flags & Pennants):
The entire detection engine—multi-zigzag swing extraction, pivot logic, pattern validation, classification framework, and drawing architecture—is Trendoscope. He’s the architect of the core system.
I’m not claiming the engine. I’m shipping a cleaner, more tactical interface layer on top of his work.
🧩 BK Enhancements (on top of Trendoscope)
Purpose: read continuation faster with less chart noise.
Short-form pattern tags so structure stays obvious without burying price:
BF / BeF / BP / BeP / F / P / UF / DF / RF / FF / AF / DeF
Label transparency controls (text + background), plus separate transparency control for short labels
Hover tooltips (toggle): hover the tag to reveal full pattern name + bias (Bullish / Bearish / Neutral)
Upgraded alert system: filters by Bias (Bullish/Bearish/Neutral) and Type (Flag / Pennant), with clearer alert messages
Pattern border extension (optional): extends the two pattern boundary lines forward by N bars so your levels stay mapped for break/retest planning
Everything else is Trendoscope’s architecture and math.
🧠 What It Does (The Mission)
This script hunts continuation formations that form after a strong impulse move:
Detects the flagpole (impulse)
Validates a consolidation structure (flag or pennant)
Tags it cleanly with short codes
Optional hover-briefing gives the long name + bias exactly when you need it
You get continuation structure in real time, across multiple swing sensitivities.
🧭 How It Detects (So You Know It’s Not Random)
This isn’t “pattern art.” It’s rule-based geometry + swing logic:
1) Multi-Zigzag Sweep (micro → macro)
Runs up to 4 zigzag engines so it catches both tight and larger continuations.
(Default BK tuning uses 4 levels with different swing lengths/depths.)
2) Quality Filters (you control strictness)
Key scanning controls:
Error Threshold: tolerance used during trendline validation
Flat Threshold: what qualifies as “flat” vs sloped
Max Retracement (default 0.618): limits how deep the consolidation can retrace the impulse
Verify Bar Ratio (optional): checks proportion/spacing of pivots, not just price
Avoid Overlap: prevents stacking formations on top of each other
Repaint option: allows refinement if better coordinates form (for real-time users)
3) Classification (Flag vs Pennant)
Once the engine confirms an impulse + valid consolidation, it classifies:
Flag = orderly channel/wedge-style consolidation after the pole
Pennant = tighter triangle-style compression after the pole
Then it labels with bias based on direction and formation context.
🏳️ Read the Continuation (Short Codes that Actually Matter)
BF — Bull Flag: strong pole → controlled pullback; watch for break + continuation expansion
BP — Bull Pennant: thrust → tight compression; expansion confirms carry
BeF — Bear Flag: down impulse → weak rallies; breakdown favors continuation lower
BeP — Bear Pennant: pause beneath resistance; release favors trend continuation
F / P: generic flag / pennant tags when the system can’t (or shouldn’t) over-specify
Standards aren’t decoration—they’re orders.
🧑🏫 Mentor A.K.
A.K. is the discipline behind this release.
No chasing. No gambling. No emotional entries.
He drilled one rule into everything: structure first, then execution—never the reverse.
This indicator exists to make that possible under pressure.
🤝 Give Forward (The Code of the Crew)
If this tool sharpens your edge:
Teach one trader how to read continuation properly (pole → base → trigger → invalidation)
Share process, not just screenshots (entry logic, stop logic, management plan)
If you build on open work: credit loudly and contribute improvements back when you can
Tools multiply force. Character decides the outcome.
👑 Respect to King Solomon (Wisdom > Impulse)
“Plans are established by counsel; by wise guidance wage war.” — Proverbs 20:18
Continuation trading is the same: impulse → formation → execution.
BK AK-Flag Formations — when the standard rises, the line advances.
Gd bless. 🙏
ICT ORB Killzones by MaxN (15 / 30m)Trading session open/close with first 15/30 min orbs
will just have to adjust time zones to your current time line
GMT +0
I use
Asia 23.00 - 06.00
London 07.00 - 16.00
New York 12.00 - 22.00
Lot Size Calculator (Entry + SL) GOLDLot Size Calculator (Entry + SL)
This indicator helps traders calculate the correct position size (lots) based on risk management, using a fixed account balance and risk percentage per trade.
By providing an Entry Price and Stop-Loss Price, the script automatically computes:
Dollar risk per trade
Stop-loss distance
Risk per unit
Total position size in units
Final position size in lots (rounded to broker-compatible steps)
How It Works
Define your Account Balance.
Set your Risk % per trade (e.g., 1%).
Choose your Entry Price:
Manual input, or
Use the current market price.
Enter your Stop-Loss Price.
The indicator calculates the maximum lot size so that your loss at SL equals your predefined risk.
Key Features
Uses TradingView’s syminfo.pointvalue for accurate instrument pricing
Supports any market (Forex, indices, commodities, crypto)
Custom units per lot (FX standard, mini, micro, or custom CFD contracts)
roker-friendly lot rounding
Clean table display for quick decision-making
Ideal for traders who:
Follow strict fixed-percentage risk management
Want consistent position sizing
Trade multiple instruments with different contract sizes
This tool ensures every trade risks the same percentage of capital, regardless of stop-loss distance.
IFVG BIASIFVG Bias Dashboard (15M / 30M / 1H / 4H)A clean, multi-timeframe ICT-inspired directional bias dashboard based on Implied Fair Value Gaps (IFVG).This indicator tracks the current bullish or bearish bias derived from the most recent valid Implied Fair Value Gap on four key higher timeframes: 15-minute, 30-minute, 1-hour, and 4-hour. It displays the results in an easy-to-read table directly on your chart — perfect for quickly assessing alignment across timeframes without switching charts.How It Works (ICT-Style IFVG Logic)Detects classic three-candle IFVGs:Bullish IFVG: Current low > high two bars ago (aggressive buying leaving an inefficiency).
Bearish IFVG: Current high < low two bars ago (aggressive selling).
When an IFVG forms, it sets the bias to match its direction (Bullish = +1, Bearish = -1).
The bias remains persistent until either:A new IFVG forms in the opposite direction, or
Price closes beyond the opposite boundary of the current IFVG (mitigation/invalidation), which flips the bias.
This creates a simple yet effective "last valid IFVG" bias that only changes on meaningful price action.
FeaturesMulti-timeframe analysis via request.security() on 15M, 30M, 1H, and 4H.
Compact table in the top-right corner showing:Timeframe (TF)
Current Bias: "Bullish" (solid green background) or "Bearish" (solid red background)
No repainting on historical bars; table updates only on the last confirmed bar.
Lightweight and overlay-friendly — does not draw boxes or lines, focusing purely on bias direction.
Ideal ForICT / Smart Money Concepts (SMC) traders looking for higher-timeframe confluence.
Confirming trend direction before taking lower-timeframe entries.
Spotting potential bias shifts when an IFVG is mitigated on higher timeframes.
A straightforward tool for staying aligned with institutional order flow inefficiencies across multiple timeframes. Add it to your chart and instantly see where the bias stands!
