Kaufman Adaptive Least Squares Moving AverageIntroduction
It is possible to use a wide variety of filters for the estimation of a least squares moving average, one of the them being the Kaufman adaptive moving average (KAMA) which adapt to the market trend strength, by using KAMA in an lsma we therefore allow for an adaptive low lag filter which might provide a smarter way to remove noise while preserving reactivity.
The Indicator
The lsma aim to minimize the sum of the squared residuals, paired with KAMA we obtain a great adaptive solution for smoothing while conserving reactivity. Length control the period of the efficiency ratio used in KAMA, higher values of length allow for overall smoother results. The pre-filtering option allow for even smoother results by using KAMA as input instead of the raw price.
The proposed indicator without pre-filtering in green, a simple moving average in orange, and a lsma with all of them length = 200. The proposed filter allow for fast and precise crosses with the moving average while eliminating major whipsaws.
Same setup with the pre-filtering option, the result are overall smoother.
Conclusion
The provided code allow for the implementation of any filter instead of KAMA, try using your own filters. Thanks for reading :)
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Kaufman Adaptive Moving AverageKaufman Adaptive Moving Average script.
This indicator was originally developed by Perry J. Kaufman (`Smarter Trading: Improving Performance in Changing Markets`, 1995).
Candle CountingI was talking with one of the biggest hedge fund traders in the world the other day. He goes to me, "Brian, why don't you come and work for us, since you're a better trader than anyone at our firm?" Well I said I would, but there's no one there with an iq as high as mine, so I'd have no one to talk to when I'm eatin my sammiches. Man I'm a savant mate, I'm a f***ing CANDLE COUNTER. I tell people all the time, know your market. And that's your tip of the day really, I mean nobody out there knows Yen better than me. I mean the other day I was 70,000 in the hole, but I didn't get out, I was balls deep making a cheese sammich on the George Forman. Now I mean you can try and do what I'm doing, but understand something, I am 100% smarter than you, and your machines. In the industry, they call me Mr. Yen, I touch the sun, and my d*ck, regularly.
SMC Liquidity Sweep + BOS StrategyThe SMC Liquidity Sweep + BOS Strategy is a high-probability trading model based on Smart Money Concepts, designed to catch institutional reversals after stop-hunt liquidity grabs.
This strategy works by first identifying a liquidity sweep above recent highs or below recent lows—where retail stop losses are taken. Once liquidity is captured, price confirms intent with a Break of Structure (BOS), signaling a potential trend shift or continuation driven by smart money.
Entries are taken only after both conditions align, filtering out false moves and improving accuracy. The strategy is highly effective on lower timeframes and performs best during high-liquidity sessions like London and New York.
Sentinel Market Structure [JOAT]
Sentinel Market Structure - Smart Money Structure Analysis
Introduction and Purpose
Sentinel Market Structure is an open-source overlay indicator that identifies swing highs/lows, tracks market structure (HH/HL/LH/LL), detects Break of Structure (BOS) and Change of Character (CHoCH) signals, and marks order blocks. The core problem this indicator solves is that retail traders often miss structural shifts that smart money traders use to identify trend changes.
This indicator addresses that by automatically tracking market structure and alerting traders to key structural breaks that often precede significant moves.
Why These Components Work Together
Each component provides different structural information:
1. Swing Detection - Identifies significant pivot highs and lows. These are the building blocks of market structure.
2. Structure Labels (HH/HL/LH/LL) - Classifies each swing relative to the previous swing. Higher Highs + Higher Lows = uptrend. Lower Highs + Lower Lows = downtrend.
3. Break of Structure (BOS) - Identifies when price breaks a swing level in the direction of the trend. This is a continuation signal.
4. Change of Character (CHoCH) - Identifies when price breaks a swing level against the trend. This is a potential reversal signal.
5. Order Blocks - Marks the last opposing candle before an impulse move. These zones often act as future support/resistance.
How the Detection Works
Swing Detection:
bool swingHighDetected = high == ta.highest(high, swingLength * 2 + 1)
bool swingLowDetected = low == ta.lowest(low, swingLength * 2 + 1)
BOS vs CHoCH Logic:
// BOS: Break in direction of trend (continuation)
bool bullishBOS = close > lastSwingHigh and marketTrend >= 0
// CHoCH: Break against trend (reversal signal)
bool bullishCHOCH = close > lastSwingHigh and marketTrend < 0
Order Block Detection:
bool bullOB = close < open and // Previous candle bearish
close > open and // Current candle bullish
close > high and // Breaking above
(high - low) > ta.atr(14) * 1.5 // Strong impulse
Signal Types
HH (Higher High) - Swing high above previous swing high (bullish structure)
HL (Higher Low) - Swing low above previous swing low (bullish structure)
LH (Lower High) - Swing high below previous swing high (bearish structure)
LL (Lower Low) - Swing low below previous swing low (bearish structure)
BOS↑/BOS↓ - Break of structure in trend direction (continuation)
CHoCH↑/CHoCH↓ - Change of character against trend (potential reversal)
Dashboard Information
Trend - Current market bias (BULLISH/BEARISH/NEUTRAL)
Swing High - Last swing high price with HH/LH label
Swing Low - Last swing low price with HL/LL label
Structure - Current structure state (HH+HL, LH+LL, etc.)
Price - Price position relative to structure
How to Use This Indicator
For Trend Following:
1. Identify trend using structure (HH+HL = uptrend, LH+LL = downtrend)
2. Enter on BOS signals in trend direction
3. Use swing levels for stop placement
For Reversal Trading:
1. Watch for CHoCH signals (break against trend)
2. Confirm with order block formation
3. Enter on retest of order block zone
For Risk Management:
1. Place stops beyond swing highs/lows
2. Use structure lines as trailing stop references
3. Exit when CHoCH signals against your position
Input Parameters
Swing Detection Length (5) - Bars on each side for pivot detection
Show Swing High/Low Points (true) - Toggle swing markers
Show BOS/CHoCH (true) - Toggle structural break signals
Show Structure Lines (true) - Toggle horizontal swing lines
Show Order Blocks (true) - Toggle order block zones
Zone Extension (50) - How far order block boxes extend
Timeframe Recommendations
15m-1H: Good for intraday structure analysis
4H-Daily: Best for swing trading structure
Lower timeframes require smaller swing detection length
Limitations
Swing detection has inherent lag (needs confirmation bars)
Not all BOS/CHoCH signals lead to continuation/reversal
Order block zones are simplified (not full ICT methodology)
Structure analysis is subjective - different traders see different swings
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Market structure analysis does not guarantee trade outcomes. Always use proper risk management.
- Made with passion by officialjackofalltrades
BE-QuantFlow: Adaptive Momentum Trading█ Overview: QuantFlow: Adaptive Momentum Trading
QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. However, its logic is universal; with appropriate parameter tuning, it adapts to various asset classes and timeframes.
While the standard momentum indicators (like RSI or MACD) simply measure how fast price is moving (Velocity), QuantFlow analyzes the quality and conviction of the trend . Features like Dynamic Volatility Filtering and Trend Shielding, combined with volatility weighting and a "Dual-Line" approach to distinguish between a sustainable institutional trend and a temporary retail spike, make the indicator unique and more powerful.
█ Why QuantFlow ?
Quant (The Engine): This replaces subjective guessing with objective math.
Instead of just seeing that the price is "up," we measure "how it got there". For example, a stock that rises 1 currency value every day for 10 days (smooth trend) gets a much higher score than a stock that jumps 10 currency value in one minute and does nothing else (erratic noise). This mathematical rigor provides the structure.
█ Core Logic & Philosophy
To understand how QuantFlow calculates momentum, imagine a "Tug-of-War" between Buyers (Bulls) and Sellers (Bears). Most indicators (like RSI) use a single line. If RSI is at 50, it means "Neutral." But "Neutral" can mean two very different things:
Peace: Nothing is happening. No one is buying or selling.
War: Buyers are pushing hard, but Sellers are pushing back equally hard. Volatility is massive.
A single line hides this reality. QuantFlow splits the market into two separate scores:
Bull Score (Green Line): How hard are the buyers pushing?
Bear Score (Red Line): How hard are the sellers pushing?
The Layman's Advantage:
If both lines are low = Sleepy Market (Avoid).
If Green is high and Red is low = Clean Uptrend (Buy).
If Red is high and Green is low = Clean Downtrend (Sell).
If both lines are high = Chaos/War Zone (Wait).
█ How it Weight "Sustenance" (The Critical Quality Check)
This is the most unique aspect of QuantFlow: Trend direction alone is not enough; Sustenance is weighed equally . Standard indicators treat every 10 currency value movements the same way with no distinction. However, QuantFlow asks, "Did you hold the ground you gained?"
Scenario A (High Sustenance) : A stock opens at 100, marches to 110, and closes at 110.
Verdict : Buyers pushed up and sustained the price.
QuantFlow Weight : 100%. This is a high-quality move.
Scenario B (Low Sustenance) : A stock opens at 100, spikes to 110, but gets sold off to close at 102.
Verdict : Buyers pushed up (Trend is Up), but failed to sustain it (Long Wick).
QuantFlow Weight : 20%. This is treated as "Noise" or a trap.
By mathematically weighing the Close Location Value (where the candle closes relative to its high/low), QuantFlow filters out "Gap-and-Fade" traps and exhaustion spikes that fool traditional indicators.
Comparisons: QuantFlow vs. The Rest
Calculation Logic : Standard RSI/MACD measures simple price change over time. QuantFlow measures Price Change 'times (x)' Conviction (Sustenance Weighting).
Visual Output : Standard tools show a single line (0-100), often hiding market conflict. QuantFlow displays Dual Lines (Bull vs Bear Intensity) to reveal the true state of the battle.
Trap Handling : Standard indicators are often fooled by sharp spikes. QuantFlow ignores "Gap-and-Fade" moves with poor closing conviction.
Adaptability : Standard tools use static levels (e.g., Overbought > 70). QuantFlow uses Dynamic Bands that adjust automatically to recent volatility.
█ Dynamic Volatility Filtering
Unlike standard indicators that use fixed levels (e.g., "Buy if RSI > 50"), QuantFlow acknowledges that "50" means something different in a quiet market versus a crashing market. This section explains the statistical engine driving the signals.
The Problem with Static Levels : In a low-volatility environment, a momentum score of 55 might indicate a massive breakout. In a high-volatility environment, a score of 55 might just be random noise. A fixed threshold cannot handle both scenarios.
The Solution: Adaptive Statistics : The script maintains a memory of the Momentum Events. It doesn't just look at price; it looks at where the momentum occurred in the past and draws a "Noise Zone" (Grey Band). This logic acts as a "Smart Gatekeeper" for trade entries:
Scenario A: Inside the Noise (The Filter)
If a new momentum signal happens inside the Noise Zone, the script assumes it is likely chop or noise.
Action : It forces a wait period. The signal is delayed until the trend sustains itself for Confirm Bars; else the signal is cancelled. This filters out ~70% of false signals in sideways markets.
Scenario B: Outside the Noise (The Breakout)
If a new momentum signal happens outside the Noise Zone (or the momentum score smashes through the Upper Band), it is statistically significant (an outlier event).
Action: It triggers an Immediate Entry. No waiting is required because the move is powerful enough to escape the historical noise zone.
█ The ⚠️ "Warning" System (Heads-up for Smart Reversals)
While you are directional if there is potential reversal signal, it provides the heads-up warning for a better decision-making
█ Special Utility: Ghost Mode
For intraday traders, the biggest disruption to "Flow" is the mandatory broker square-off at 3:15 PM (considering Indian Market). Often, a trend continues overnight, and the trader misses the gap-up opening the next morning because their algo was flat.
Ghost Mode is a unique feature that runs silently in the background:
At Square-off: The strategy closes your official position to satisfy the broker.
In the Background: It keeps the trade "alive" virtually (Ghost).
Next Morning: If the market opens in the trend's favor, the strategy re-enters the trade automatically. This approach ensures you capture the full swing of the trend, even if you are forced to exit at the previous session.
█ Advice on this indicator:
Parameter Calibration: The default settings are optimized for BankNifty on 5-minute charts. If you trade stocks, crypto, commodities, or any higher timeframes (e.g., 15-min or hourly), you must adjust these.
Low Volatility Assets: Reduce Stop Multiplier to 2.0.
High Volatility Assets: Increase Momentum Lookback to 50 to filter noise.
Confluence (Additional Confirmation): While QuantFlow is a complete system, using it alongside Key Support/Resistance Levels or Volume Profile provides the highest probability setups.
AI Signal Pro (MVP) | @GexProNew: AI Signal Preview (Free)
We’re excited to introduce a free AI-powered signal layer — now embedded directly in the Gamma Levels indicator — to help you spot high-conviction trade setups in real time.
This intelligent overlay analyzes gamma regime alignment, volume surges, and momentum shifts to surface only the highest-quality opportunities — no noise, no spam.
What You Get (Free)
Smart Trigger Logic: Only activates when Gamma Flip, Call Wall, and Put Support align with price action
Confidence Scoring: Clear % rating (e.g., "AI Confidence: 82%") so you know when to trust the signal
Actionable Levels: Auto-calculated entry, stop, and target based on gamma structure
Regime-Aware: Respects Positive/Negative Gamma environments — no counter-trend false signals
What’s Not Included (Free Version)
No LLM reasoning — no natural-language trade rationale
No real options data — uses price/volume proxies (not live OI or GEX)
No directional scoring — no Vanna/Charm-weighted conviction engine
No 0DTE or multi-expiry logic
Think of this as the “teaser” — a glimpse of what’s possible when AI meets institutional options flow.
Ready for the Full AI Engine?
→ Upgrade to GEX Pro and unlock:
Real-time options chain ingestion (OI, volume, strikes, expiries)
LLM-powered trade rationale — “Why this setup works now” in plain English
Institutional Conviction Score™ — 5-factor model (GEX slope, Vanna flow, vol skew, etc.)
0DTE-optimized signals with volume-priority gamma weighting
API access & trade ideas — auto-generated setups with risk metrics
Stop reacting. Start anticipating — where the smart money is positioned before the move.
Try GEX Pro — gexpro.asiaquant.com
Market Structure [odnac]Overview
This indicator is a comprehensive tool designed for traders utilizing Smart Money Concepts (SMC) and Price Action. It automatically identifies and labels significant market structure shifts, specifically BOS (Break of Structure) and CHoCH (Change of Character), helping you stay on the right side of the trend.
Key Features
Dual Logic Modes (V1 & V2):
V1 (Fixed Pivot): Only utilizes confirmed pivot points. Ideal for conservative traders looking for major swing levels.
V2 (Dynamic Update): Automatically updates swing points to the actual highest high or lowest low between breaks. This provides a more fluid and accurate representation of price flow.
Smart Confirmation: Unlike basic pivot scripts, this indicator uses a multi-bar confirmation logic (checking candle polarity and close sequences) to filter out market noise and false pivots.
Automatic Trend Detection: The indicator tracks the current market bias (Bullish/Bearish) and visualizes it through customizable background colors or shapes.
Clear Visual Cues: * BOS: Indicates a continuation of the current trend.
CHoCH: Signals a potential trend reversal.
How to Use
Identify Trend Direction: Use the background coloring or the shapes at the bottom to quickly identify if the market is in a Bullish (Green) or Bearish (Red) phase.
Look for Structure Breaks: * When price breaks a previous high/low, the indicator will draw a line and label it as BOS if the trend continues, or CHoCH if the trend flips.
Customize for Your Assets: * For volatile assets like XLM or other cryptocurrencies, you can adjust the Swing Left/Right Bars inputs to filter for either micro-structures or macro-trends.
Input Settings
Version: Choose between V1 (Strict Pivots) and V2 (Dynamic Ranges).
Swing Left/Right Bars: Determines the sensitivity of high/low detection. Increase these values to find "stronger" structural points.
Trend Visualization: Toggle between Background fills, Shape markers at the bottom, or None for a cleaner look.
Show Swings: Toggle the visibility of the white circles marking confirmed pivot points.
Disclaimer
Market structure is a lagging indicator by nature as it requires confirmation. Always use this tool in conjunction with other technical analysis methods (Order Blocks, Fair Value Gaps, or Volume) for the best results.
Market Regime | NY Session Killzones Indicator [ApexLegion]Market Regime | NY Session Killzones Indicator
Introduction and Theoretical Background
The Market Regime | NY Session Killzones indicator is designed exclusively for New York market hours (07:00-16:00 ET). Unlike universal indicators that attempt to function across disparate global sessions, this tool employs session-specific calibration to target the distinct liquidity characteristics of the NY trading day: Pre-Market structural formation (08:00-09:30), the Morning breakout window (09:30-12:00), and the Afternoon Killzone (13:30-16:00)—periods when institutional order flow exhibits the highest concentration and most definable technical structure. By restricting its operational scope to these statistically significant time windows, the indicator focuses on signal relevance while filtering the noise inherent in lower-liquidity overnight or extended-hours trading environments.
I. TECHNICAL RATIONALE: THE PRINCIPLE OF CONTEXTUAL FUSION
1. The Limitation of Acontextual Indicators
Traditional technical indicators often fail because they treat every bar and every market session equally, applying static thresholds (e.g., RSI > 70) without regard for the underlying market structure or liquidity environment. However, institutional volume and market volatility are highly dependent on the time of day (session) and the prevailing long-term risk environment.
This indicator was developed to address this "contextual deficit" by fusing three distinct yet interdependent analytical layers:
• Time and Structure (Macro): Identifying high-probability trading windows (Killzones) and critical structural levels (Pre-Market Range, PDH/PDL).
• Volatility and Scoring (Engine): Normalizing intraday momentum against annual volatility data to create an objective, statistically grounded AI Score.
• Risk Management (Execution): Implementing dynamic, volatility-adjusted Stop Loss (SL) and Take Profit (TP) parameters based on the Average True Range (ATR).
2. The Mandate for 252-Day Normalization (Z-Score)
What makes this tool unique is its 252-day Z-Score normalization engine that transforms raw momentum readings into statistically grounded probability scores, allowing the same indicator to deliver consistent, context-aware signals across any timeframe—from 1-minute scalping to 1-hour swing trades—without manual recalibration.
THE PROBLEM OF SCALE INVARIANCE
A high Relative Strength Index (RSI) reading on a 1-minute chart has a completely different market implication than a high RSI reading on a Daily chart. Simple percentage-based thresholds (like 70 or 30) do not provide true contextual significance. A sudden spike in momentum may look extreme on a 5-minute chart, but if it is statistically insignificant compared to the overall volatility of the last year, it may be a poor signal.
THE SOLUTION: CROSS-TIMEFRAME Z-SCORE NORMALIZATION
This indicator utilizes the Pine Script function request.security to reference the Daily timeframe for calculating the mean (μ) and standard deviation (σ) of a momentum oscillator (RSI) over the past 252 trading days (one year).
The indicator then calculates the Z-Score (Z) for the current bar's raw momentum (x): Z = (x - μ) / σ
Core Implementation: float raw_rsi = ta.rsi(close, 14) // x
= request.security(syminfo.tickerid, "D",
, // σ (252 days)
lookahead=barmerge.lookahead_on)
float cur_rsi_norm = d_rsi_std != 0 ? (raw_rsi - d_rsi_mean) / d_rsi_std : 0.0 // Z
This score provides an objective measurement of current intraday momentum significance by evaluating its statistical extremity against the yearly baseline of daily momentum. This standardized approach provides the scoring engine with consistent, global contextual information, independent of the chart's current viewing timeframe.
II. CORE COMPONENTS AND TECHNICAL ANALYSIS BREAKDOWN
1. TIME AND SESSION ANALYSIS (KILLZONES AND BIAS)
The indicator visually segments the trading day based on New York (NY) trading sessions, aligning the analysis with periods of high institutional liquidity events.
Pre-Market (PRE)
• Function: Defines the range before the core market opens. This range establishes structural support and resistance levels (PMH/PML).
• Technical Implementation: Uses a dedicated Session input (ny_pre_sess). The High and Low values (pm_h_val/pm_l_val) within this session are stored and plotted for structural reference.
• Smart Extension Logic: PMH/PML lines are automatically extended until the next Pre-Market session begins, providing continuous support/resistance references overnight.
NY Killzones (AM/PM)
• Function: Highlights high-probability volatility windows where institutional liquidity is expected to be highest (e.g., NY open, lunch, NY close).
• Technical Implementation: Separate session inputs (kz_ny_am, kz_ny_pm) are utilized to draw translucent background fills, providing a clear visual cue for timing.
Market Regime Bias
• Function: Determines the initial directional premise for the trading day. The bias is confirmed when the price breaks either the Pre-Market High (PMH) or the Pre-Market Low (PML).
• Technical Implementation: Involves the comparison of the close price against the predefined structural levels (check_h for PMH, check_l for PML). The variable active_bias is set to Bullish or Bearish upon confirmed breakout.
Trend Bar Coloring
• Function: Applies a visual cue to the bars based on the established regime (Bullish=Cyan, Bearish=Red). This visual filter helps mitigate noise from counter-trend candles.
• Technical Implementation: The Pine Script barcolor() function is tied directly to the value of the determined active_bias.
2. VOLATILITY NORMALIZED SCORING ENGINE
The internal scoring mechanism accumulates points from multiple market factors to determine the strength and validity of a signal. The purpose is to apply a robust filtering mechanism before generating an entry.
The score accumulation logic is based on the following factors:
• Market Bias Alignment (+3 Points): Points are awarded for conformance with the determined active_bias (Bullish/Bearish).
• VWAP Alignment (+2 Points): Assesses the position of the current price relative to the Volume-Weighted Average Price (VWAP). Alignment suggests conformity with the average institutional transaction price.
• Volume Anomaly (+2 Points): Detects a price move accompanied by an abnormally high relative volume (odd_vol_spike). This suggests potential institutional participation or significant order flow.
• VIX Integration (+2 Points): A score derived from the CBOE VIX index, assessing overall market stability and stress. Stable VIX levels add points, while high VIX levels (stress regimes) remove points or prevent signal generation entirely.
• ML Probability Score (+3 Points): This is the core predictive engine. It utilizes a Log-Manhattan Distance Kernel to compare the current market state against historical volatility patterns. The script implements a Log-linear distance formula (log(1 + |Δ|) ). This approach mathematically dampens the impact of extreme volatility spikes (outliers), ensuring that the similarity score reflects true structural alignment rather than transient market noise.
Core Technical Logic (Z-Score Normalization)
float cur_rsi_norm = d_rsi_std != 0 ? (raw_rsi - d_rsi_mean) / d_rsi_std : 0.0
• Technical Purpose: This line calculates the Z-Score (cur_rsi_norm) of the current momentum oscillator reading (raw_rsi) by normalizing it against the mean (d_rsi_mean) and standard deviation (d_rsi_std) derived from 252 days of Daily momentum data. If the standard deviation is zero (market is perfectly flat), it safely returns 0.0 to prevent division by zero runtime errors. This allows the AI's probability score to be based on the current signal's significance within the context of the entire trading year.
3. EXECUTION AND RISK MANAGEMENT (ATR MODEL)
The indicator utilizes the Average True Range (ATR) volatility model. This helps risk management scale dynamically with market volatility by allowing users to define TP/SL distances independently based on the current ATR.
Stop Loss Multiplier (sl_mult)
• Function: Sets the Stop Loss (SL) distance as a configurable multiple of the current ATR (e.g., 1.5 × ATR).
• Technical Logic: The price level is calculated as: last_sl_price := close - (atr_val * sl_mult). The mathematical sign is reversed for short trades.
Take Profit Multiplier (tp_mult)
• Function: Sets the Take Profit (TP) distance as a configurable multiple of the current ATR (e.g., 3.0 × ATR).
• Technical Logic: The price level is calculated as: last_tp_price := close + (atr_val * tp_mult). The mathematical sign is reversed for short trades.
Structural SL Option
• Function: Provides an override to the ATR-based SL calculation. When enabled, it forces the Stop Loss to the Pre-Market High/Low (PMH/PML) level, aligning the stop with a key institutional structural boundary.
• Technical Logic: The indicator checks the use_struct_sl input. If true, the calculated last_sl_price is overridden with either pm_h_val or pm_l_val, dependent on the specific trade direction.
Trend Continuation Logic
• Function: Enables signal generation in established, strong trends (typically in the Afternoon session) based on follow-through momentum (a new high/low of the previous bar) combined with a high Signal Score, rather than exclusively relying on the initial PMH/PML breakout.
• Technical Logic: For a long signal, the is_cont_long logic specifically requires checks like active_bias == s_bull AND close > high , confirming follow-through momentum within the established regime.
Smart Snapping & Cleanup (16:00 Market Close)
• Function: To maintain chart cleanliness, all trade boxes (TP/SL), AI Prediction zones, Killzone overlays (NY AM/PM), and Liquidity lines (PDH/PDL) are automatically "snapped" and cut off precisely at 16:00 NY Time (Market Close).
• Technical Logic: When is_market_close condition is met (hour == 16 and minute == 0), the script executes cleanup logic that:
◦ Closes active trades and evaluates final P&L
◦ Snaps all TP/SL box widths to current bar
◦ Truncates AI Prediction ghost boxes at market close
◦ Cuts off NY AM/PM Killzone background fills
◦ Terminates PDH/PDL line extensions
◦ Prevents visual clutter from extending into post-market sessions
4. LIQUIDITY AND STRUCTURAL ANALYSIS
The indicator plots key structural levels that serve as high-probability magnet zones or areas of potential liquidity absorption.
• Pre-Market High/Low (PMH/PML): These are the high and low established during the configured pre-market session (ny_pre_sess). They define the primary structural breakout level for the day, often serving as the initial market inflection point or the key entry level for the morning session.
• PDH (Previous Day High): The high of the calendar day immediately preceding the current bar. This represents a key Liquidity Pool; large orders are often placed above this level, making it a frequent target for stop hunts or liquidity absorption by market makers.
• PDL (Previous Day Low): The low of the calendar day immediately preceding the current bar. This also represents a key Liquidity Pool and a high-probability reversal or accumulation point, particularly during the Killzones.
FIFO Array Management
The indicator uses FIFO (First-In-First-Out) array structures to manage liquidity lines and labels, automatically deleting the oldest objects when the count exceeds 500 to comply with drawing object limits.
5. AI PREDICTION BOX (PREDICTIVE MODEL)
Function: Analyzes AI scores and volatility to project predicted killzone ranges and duration with asymmetric directional bias.
A. DIRECTIONAL BIAS (ASYMMETRIC EXPANSION)
The prediction model calculates directional probability using the ML kernel's 252-day Normalized RSI (Z-Score) and Relative Volume (RVOL). The prediction box dynamically adjusts its range based on this probability to provide immediate visual feedback on high-probability direction.
Bullish Scenario (ml_prob > 1.0):
• Upper Range: Expands significantly (1.5x multiplier) to show the aggressive upside target
• Lower Range: Tightens (0.5x multiplier) to show the invalidation level
• Visual Intent: The box is visibly skewed upward, immediately communicating bullish bias without requiring numerical analysis.
Bearish Scenario (ml_prob < -1.0):
• Upper Range: Tightens (0.5x multiplier) to show the invalidation level
• Lower Range: Expands significantly (1.5x multiplier) to show the aggressive downside target
• Visual Intent: The box is visibly skewed downward, immediately communicating bearish bias.
Neutral Scenario (-1.0 < ml_prob < 1.0):
Both ranges use balanced multipliers, creating a symmetrical box that indicates uncertainty.
B. DYNAMIC VOLATILITY BOOSTER (SESSION-BASED ADAPTATION)
The prediction box adjusts its volatility multiplier based on the current session and market conditions to account for intraday volatility patterns.
AM Session (Morning: 07:00-12:00):
• Base Multiplier: 1.0x (Neutral Base)
• Logic: Morning sessions often contain false breakouts and noise. The base multiplier starts neutral to avoid over-projecting during consolidation.
• Trend Booster: Multiplier jumps to 1.5x when:
Price > London Session Open AND AI is Bullish (ml_prob > 0), OR
Price < London Session Open AND AI is Bearish (ml_prob < 0)
• Logic: When the London trend (typically 03:00-08:00 NY time) aligns with the AI model's directional conviction, the indicator aggressively targets higher volatility expansion. This filters for "institutional follow-through" rather than random morning chop.
PM Session (Afternoon: 13:00-16:00):
• Fixed Multiplier: 1.8x
• Logic: The PM session, particularly the 13:30-16:00 ICT Silver Bullet window, often contains the "True Move" of the day. A higher baseline multiplier is applied to emphasize this session's significance over morning noise.
Safety Floor:
A minimum range of 0.2% of the current price is enforced regardless of volatility conditions.
• Purpose: Maintains the prediction box visibility during extreme low-volatility consolidation periods where ATR might collapse to near-zero values.
Volatility Clamp Protection:
Maximum volatility is capped at three times the current ATR value. During flash crashes, circuit breaker halts, or large overnight gaps, raw volatility calculations can spike to extreme levels. This clamp prevents prediction boxes from expanding to unrealistic widths.
Technical Implementation:
f_get_ai_multipliers(float _prob) =>
float _abs_prob = math.abs(_prob)
float _range_mult = 1.0
float _dur_mult = 1.0
if _abs_prob > 30
_range_mult := 1.8
else if _abs_prob > 10
_range_mult := 1.2
else
_range_mult := 0.7
C. PRACTICAL INTERPRETATION
• Wide Upper Range + Tight Lower Range: Strong bullish conviction. The model expects significant upside with limited downside risk.
• Tight Upper Range + Wide Lower Range: Strong bearish conviction. The model expects significant downside with limited upside.
• Symmetrical Range: Neutral/uncertain market. Wait for directional confirmation before entry.
• Large Box (Extended Duration): High-confidence prediction expecting sustained movement.
• Small Box (Short Duration): Low-confidence or choppy conditions. Expect quick resolution.
III. PRACTICAL USAGE GUIDE: METHODOLOGY AND EXECUTION
A. ESTABLISHING TRADING CONTEXT (THE THREE CHECKS)
The primary goal of the dashboard is to filter out low-probability trade setups before they occur.
• Timeframe Selection: Although the core AI is normalized to the Daily context, the indicator performs optimally on intraday timeframes (e.g., 5m, 15m) where session-based volatility is most pronounced.
• PHASE Check (Timing): Always confirm the current phase. The highest probability signals typically occur within the visually highlighted NY AM/PM Killzones because this is when institutional liquidity and volume are at their peak. Signals outside these zones should be treated with skepticism.
• MARKET REGIME Check (Bias): Ensure the signal (BUY/SELL arrow) aligns with the established MARKET REGIME bias (BULLISH/BEARISH). Counter-bias signals are technically allowed if the score is high, but they represent a higher risk trade.
• VIX REGIME Check (Risk): Review the VIX REGIME for overall market stress. Periods marked DANGER (high VIX) indicate elevated volatility and market uncertainty. During DANGER regimes, reducing position size or choosing a wider SL Multiplier is advisable.
B. DASHBOARD INTERPRETATION (THE REAL-TIME STATUS DISPLAY)
The indicator features a non-intrusive dashboard that provides real-time, context-aware information based on the core analytical engines.
PHASE: (PRE-MARKET, NY-AM, LUNCH, NY-PM)
• Meaning: Indicates the current institutional session time. This is derived from the customizable session inputs.
• Interpretation: Signals generated during NY-AM or NY-PM (Killzones) are generally considered higher-probability due to increased institutional participation and liquidity.
MARKET REGIME: (BULLISH, BEARISH, NEUTRAL)
• Meaning: The established directional bias for the trading day, confirmed by the price breaking above the Pre-Market High (PMH) or below the Pre-Market Low (PML).
• Interpretation: Trading with the established regime (e.g., taking a BUY signal when the regime is BULLISH) is the primary method. NEUTRAL indicates that the PMH/PML boundary has not yet been broken, suggesting market ambiguity.
VIX REGIME: (STABLE, DANGER)
• Meaning: A measure of overall market stress and stability, based on the CBOE VIX index integration. The thresholds (20.0 and 35.0 default) are customizable by the user.
• Interpretation: STABLE indicates stable volatility, favoring momentum trades. DANGER (VIX > 35.0) indicates extreme stress; signals generated in this environment require caution and often necessitate smaller position sizing.
SIGNAL SCORE: (0 to 10+ Points)
• Meaning: The accumulated score derived from the VOLATILITY NORMALIZED AI SCORING ENGINE, factoring in bias, VWAP alignment, volume, and the Z-Score probability.
• Interpretation: The indicator generates a signal when this score meets or exceeds the Minimum Entry Score (default 3). A higher score (e.g., 7+) indicates greater statistical confluence and a stronger potential entry.
AI PROBABILITY: (Bull/Bear %)
• Meaning: Directional probability derived from the ML kernel, expressed as a percentage with Bull/Bear label.
• Interpretation: Higher absolute values (>20%) indicate stronger directional conviction from the ML model.
LIVE METRICS SECTION:
• STATUS: Shows current trade state (LONG, SHORT, or INACTIVE)
• ENTRY: Displays the entry price for active trades
• TARGET: Shows the calculated Take Profit level
• ROI | KILL ZONE:
◦ For Active Trades: Displays real-time P&L percentage during NY session hours.
◦ At Market Close (16:00 NY): Since this is a NY session-specific indicator, any active position is automatically evaluated and closed at 16:00. The final result (VALIDATED or INVALIDATED) is determined based on whether the trade reached profit or loss at market close.
◦ Result Persistence: The killzone result (VALIDATED/INVALIDATED) remains displayed on the dashboard until the next NY AM KILLZONE session begins, providing a clear performance reference for the previous trading day.
Note: If a trade is still trending at 16:00, it will be force-closed and evaluated at that moment, as the indicator operates strictly within NY trading hours.
C. SIGNAL GENERATION AND ENTRY LOGIC
The indicator generates signals based on two distinct technical setups, both of which require the accumulated SIGNAL SCORE to be above the configured Minimum Entry Score.
Breakout Entry
• Trigger Condition: Price closes beyond the Pre-Market High (PMH) or Low (PML).
• Rationale: This setup targets the initial directional movement for the day. A breakout confirms the institutional bias by decisively breaking the first major structural boundary, making the signal high-probability.
Continuation Entry
• Trigger Condition: The market is already in an established regime (e.g., BULLISH), and the price closes above the high (or below the low) of the previous bar, while the SIGNAL SCORE remains high. Requires the Allow Trend Continuation parameter to be active.
• Rationale: This setup targets follow-through trades, typically in the afternoon session, capturing momentum after the morning's direction has been confirmed. This filters for sustainability in the established trend.
Execution: Execute the trade immediately upon the close of the bar that prints the BUY or SELL signal arrow.
D. MANAGING RISK AND EXITS
1. RISK PARAMETER SELECTION
The indicator immediately draws the dynamic TP/SL zones upon entry.
• Volatility-Based (Recommended Default): By setting the SL Multiplier (e.g., 1.5) and the TP Multiplier (e.g., 3.0), the indicator enforces a constant, dynamically sized risk-to-reward ratio (e.g., 1:2 in this example). This helps that risk management scales proportionally with the current market volatility (ATR).
• Structural Override: Selecting the Use Structural SL parameter fixes the stop-loss not to the ATR calculation, but to the more significant structural level of the PMH or PML. This is utilized by traders who favor institutional entry rules where the stop is placed behind the liquidity boundary.
2. EXIT METHODS
• Hard Exit: Price hits the visual TP or SL box boundary.
• Soft Exit (Momentum Decay Filter): If the trade is active and the SIGNAL SCORE drops below the Exit Score Threshold (default 3), it indicates that the momentum supporting the trade has significantly collapsed. This serves as a momentum decay filter, prompting the user to consider a manual early exit even if the SL/TP levels have not been hit, thereby preserving capital during low-momentum consolidation.
• Market Close Auto-Exit: At 16:00 NY time, any active trade is automatically closed and classified as VALIDATED (profit) or INVALIDATED (loss) based on current price vs. entry price.
IV. PARAMETER REFERENCE AND CONFIGURATION
A. GLOBAL SETTINGS
• Language (String, Default: English): Selects the language for the dashboard and notification text. Options: English, Korean, Chinese, Spanish, Portuguese, Russian, Ukrainian, Vietnamese.
B. SESSION TIMES (3 BOX SYSTEM)
• PRE-MARKET (Session, Default: 0800-0930): Defines the session range used for Pre-Market High/Low (PMH/PML) structural calculation.
• REGULAR (Morning) (Session, Default: 0930-1200): Defines the core Morning trading session.
• AFTERNOON (PM) (Session, Default: 1300-1600): Defines the main Afternoon trading session.
• Timezone (String, Default: America/New_York): Sets the timezone for all session and time-based calculations.
C. NY KILLZONES (OVERLAYS)
• Show NY Killzones (Bool, Default: True): Toggles the translucent background fills that highlight high-probability trading times (Killzones).
• NY AM Killzone (Session, Default: 0700-1000): Defines the specific time window for the first key liquidity surge (Open overlap).
• NY PM Killzone (Session, Default: 1330-1600): Defines the afternoon liquidity window, aligned with the ICT Silver Bullet and PM Trend entry timing.
• Allow Entry in Killzones (Bool, Default: True): Enables or disables signal generation specifically during the defined Killzone hours.
• Activate AI Prediction Box (Bool, Default: True): Toggles the drawing of the predicted target range boxes on the chart.
D. CORE SCORING ENGINE
• Minimum Entry Score (Int, Default: 3): The lowest accumulated score required for a Buy/Sell signal to be generated and plotted.
• Allow Trend Continuation (Bool, Default: True): Enables the secondary entry logic that fires signals based on momentum in an established trend.
• Force Ignore Volume (Bool, Default: False): Overrides the volume checks in the scoring engine. Useful for markets where volume data is unreliable or nonexistent.
• Force Show Signals (Ignore Score) (Bool, Default: False): Debug mode that displays all signals regardless of score threshold.
• Integrate CBOE:VIX (Bool, Default: True): Enables the connection to the VIX index for market stress assessment.
• Stable VIX (<) (Float, Default: 20.0): VIX level below which market stress is considered low (increases score).
• Stress VIX (>) (Float, Default: 35.0): VIX level above which market stress is considered high (decreases score/flags DANGER).
• Use ML Probability (Bool, Default: True): Activates the volatility-normalized AI Z-Score kernel. Disabling this removes the cross-timeframe normalization filter.
• Max Learning History (Int, Default: 2000): Maximum number of bars stored in the ML training arrays.
• Normalization Lookback (252 Days) (Int, Default: 252): The number of DAILY bars used to calculate the Z-Score mean and standard deviation (representing approximately 1 year of data).
E. RISK MANAGEMENT (ATR MODEL)
• Use Structural SL (Bool, Default: False): Overrides the ATR-based Stop Loss distance to use the Pre-Market High/Low as the fixed stop level.
• Stop Loss Multiplier (x ATR) (Float, Default: 1.5): Defines the Stop Loss distance in multiples of the current Average True Range (ATR).
• Take Profit Multiplier (x ATR) (Float, Default: 3.0): Defines the Take Profit distance in multiples of the current Average True Range (ATR).
• Exit Score Threshold (<) (Int, Default: 3): The minimum score below which an active trade is flagged for a Soft Exit due to momentum collapse.
F. VISUAL SETTINGS
• Show Dashboard (Bool, Default: True): Toggles the real-time data panel.
• Show NY Killzones (Bool, Default: True): Toggles killzone background fills.
• Show TP/SL Zones (Bool, Default: True): Toggles the drawing of Take Profit and Stop Loss boxes.
• Show Pre-Market Extensions (Bool, Default: True): Extends PM High/Low lines across the entire chart for support/resistance reference.
• Activate AI Prediction Box (Bool, Default: True): Enable or disable the predictive range projection.
• Light Mode Optimization (Bool, Default: True): Toggles dashboard and plot colors for optimal visibility on white (light) chart backgrounds.
• Enforce Trend Coloring (Bool, Default: True): Forces candle colors based on Market Regime (Bullish=Cyan, Bearish=Pink) to emphasize trend direction.
• Label Size (String, Default: Normal): Options: Tiny, Small, Normal.
G. LIQUIDITY POOLS (PDH/PDL)
• Show Liquidity Lines (Bool, Default: True): Toggles the display of the Previous Day High (PDH) and Low (PDL) lines.
• Liquidity High Color (Color, Default: Green): Color setting for the PDH line.
• Liquidity Low Color (Color, Default: Red): Color setting for the PDL line.
🔔 ALERT CONFIGURATION GUIDE
The indicator is equipped with specific alert conditions.
How to Set Up an Alert:
Click the "Alert" (Clock icon) in the top TradingView toolbar.
Select "Market Regime NY Session " from the Condition dropdown menu.
Choose one of the specific trigger conditions below depending on your strategy:
🚀 Available Alert Conditions
1. BUY (Long Entry)
Trigger: Fires immediately when a confirmed Bullish Setup is detected.
Conditions: Market Bias is Bullish (or valid Continuation) + Signal Score ≥ Minimum Entry Score.
Usage: Use this alert to open new Long positions or close existing Short positions.
2. SELL (Short Entry)
Trigger: Fires immediately when a confirmed Bearish Setup is detected.
Conditions: Market Bias is Bearish (or valid Continuation) + Signal Score ≥ Minimum Entry Score.
Usage: Use this alert to open new Short positions or close existing Long positions.
V. IMPORTANT TECHNICAL LIMITATIONS
⚠️ Intraday Only (Timeframe Compatibility)
This indicator is strictly designed for Intraday Timeframes (1m to 4h).
Daily/Weekly Charts: The session logic (e.g., "09:30-16:00") cannot function on Daily bars because a single bar encompasses the entire session. Session boxes, TP/SL zones, and AI prediction boxes will NOT draw on the Daily timeframe. Only the PDH/PDL liquidity lines remain visible on Daily charts. This is expected behavior, not a limitation.
Maximum Supported Timeframe: All visual components (session boxes, killzone overlays, TP/SL zones, AI prediction boxes) are displayed up to the 4-hour timeframe. Above this timeframe, only PDH/PDL lines and the dashboard remain functional.
⚠️ Drawing Object Limit (Max 500)
A single script can display a maximum of 500 drawing objects (boxes/lines) simultaneously.
On lower timeframes (e.g., 1-minute), where many signals and session boxes are generated, older history (typically beyond 10-14 days) will automatically disappear to make room for new real-time data.
For deeper historical backtesting visualization, switch to higher timeframes (e.g., 15m, 1h).
The indicator implements FIFO array management to comply with this limit while maintaining the most recent and relevant visual data.
VI. PRACTICAL TRADING TIPS AND BEST PRACTICES
• Killzone Confirmation: The highest statistical validity is observed when a high-score signal occurs directly within a visible NY AM/PM Killzone. Use the Killzones as a strict time filter.
• Liquidity Awareness (PDH/PDL): Treat the Previous Day High (PDH) and Low (PDL) lines as magnets. If your dynamic Take Profit (TP) is placed just above PDH, consider adjusting your target slightly below PDH or utilizing the Soft Exit, as liquidity absorption at these levels often results in sudden, sharp reversals that stop out a trade just before the target is reached.
• VIX as a Position Sizer: During DANGER VIX regimes, the resulting high volatility means the ATR value will be large. It is prudent to either reduce the SL Multiplier or, more commonly, reduce the overall position size to maintain a constant currency risk exposure per trade.
• Continuation Filter Timing: Trend Continuation signals are most effective during the Afternoon (PM) session when the morning's directional breakout has had time to establish a strong, clear, and sustainable trend. Avoid using them in the initial AM session when the direction is still being contested.
• 16:00 Market Close Rule: All trades, boxes, and lines are automatically cleaned up at 16:00 NY time. This prevents overnight chart clutter and maintains visual clarity.
VII. DISCLAIMER & RISK WARNINGS
• Educational Purpose Only
This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments.
• No Guarantee of Performance
Past performance is not indicative of future results. All metrics displayed on the dashboard (including "ROI" and trade results) are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions.
• High-Risk Warning
Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades.
• Software Limitations
The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
Daytrading Suite v6.4: Neon TPO + FVG + IB Lines (Stable)Here is the complete **Trading Manual & Strategy Guide** for the **Master Daytrading Suite (Neon + IB Edition)**.
This guide explains exactly **when** to trade and **how** to execute trades using the tools in the script.
---
# 📘 MASTER TRADING MANUAL (Neon + IB)
### 1. THE BASICS
* **Best Assets:** BTCUSDT & ETHUSDT (Futures).
* **Best Timeframe:** 5 Minutes (Entry) / 15 Minutes (Trend).
* **Key Session:** New York Session (High Volatility).
* **Golden Rule:** Never go **LONG** inside a Red Supply Zone. Never go **SHORT** inside a Green Demand Zone.
---
### 2. THE INDICATORS (Legend)
| Indicator | Color | Function | How to use |
| --- | --- | --- | --- |
| **Supply Zone** | 🟥 **Red Box** | Resistance | Look for Short setups here. |
| **Demand Zone** | 🟩 **Green Box** | Support | Look for Long setups here. |
| **Golden Pocket** | 🟧 **Orange** | Retracement | The "Sweet Spot" for trend entries (Fib 0.618). |
| **VWAP** | 🔵 **Blue Line** | Trend Anchor | Price > VWAP = Bullish. Price < VWAP = Bearish. |
| **Initial Balance (IB)** | 🟨 **Yellow Box** | Opening Range | Breakout above = Bullish. Breakdown below = Bearish. |
| **FVG (Gap)** | 🟩/🟥 **Tiny Box** | Trigger | **Green FVG** = Entry Signal for Longs. **Red FVG** = Entry Signal for Shorts. |
---
### 3. STRATEGY A: The Trend Pullback (High Win Rate)
*Use this when the market is trending smoothly.*
#### ✅ HOW TO ENTER A LONG (BUY) POSITION
1. **Trend Check:** Price is trading **ABOVE** the VWAP (Blue Line) and EMA 9 (Yellow Line).
2. **The Wait:** Wait for the price to drop back down (pullback).
3. **The Zone:** Price touches the **Green Demand Zone** OR the **Orange Golden Pocket**.
4. **The Trigger:** A **Green FVG Box** appears on the 5-minute chart.
5. **Execution:** Enter Long. Stop Loss below the recent low. Take Profit at the next Red Zone.
#### 🔻 HOW TO ENTER A SHORT (SELL) POSITION
1. **Trend Check:** Price is trading **BELOW** the VWAP (Blue Line) and EMA 9 (Yellow Line).
2. **The Wait:** Wait for the price to rally up (pullback).
3. **The Zone:** Price touches the **Red Supply Zone** OR the **Orange Golden Pocket**.
4. **The Trigger:** A **Red FVG Box** appears on the 5-minute chart.
5. **Execution:** Enter Short. Stop Loss above the recent high. Take Profit at the next Green Zone.
---
### 4. STRATEGY B: The IB Breakout (Volatility)
*Use this specifically after the first hour of the New York Session (approx. 10:30 NY time).*
* **The Setup:** Look at the **Yellow Box (Initial Balance)** which marks the high/low of the first hour.
* **Bullish Breakout:** If a candle closes **above** the Yellow Box + Price is above VWAP → **Go Long**.
* **Bearish Breakdown:** If a candle closes **below** the Yellow Box + Price is below VWAP → **Go Short**.
* **The Trap (Fakeout):** If price breaks out but immediately falls back inside the Yellow Box, close the trade immediately.
---
### 5. DAILY ROUTINE (Checklist)
1. **Open TradingView:** Switch to the **15m Chart**.
2. **Check Context:** Where are we? Are we near a big Red Box (Supply) or Green Box (Demand)?
3. **Check Trend:** Is price above or below the Blue VWAP line?
4. **Wait for the Open:** Let the first hour of New York pass (to form the Yellow IB Box).
5. **Set Alerts:** Right-click the chart and set alerts for "IB Breakout" or "Golden Pocket".
6. **Execute:** Switch to the **5m Chart** to find your entry trigger (FVG).
---
### 6. RISK MANAGEMENT RULES
* **Stop Loss:** NEVER trade without one. Place it just outside the FVG box or the Zone.
* **Risk per Trade:** 1% to 2% of your account maximum.
* **No Trade Zone:** If the price is "chopping" (moving sideways) inside the Yellow IB Box, **do not trade**. Wait for a breakout.
Multi-Filter Slope Master Pro CareCAdvanced EMA Slope Analyzer with Smart Filters
Key Features:
🔍 Core Analysis
Tracks slopes of 3 EMAs (9, 20, 50)
Multiple slope calculation methods
Requires price + slope confirmation for signals
🛡️ Smart Filters
Multi-timeframe trend confirmation
Volume-based signal weighting
Trading session restriction
📊 Visual Dashboard
Interactive data tables (multiple layouts)
Real-time trend strength histogram
Color-coded signal markers
Customizable themes & positions
📈 Output
Individual EMA signals (Bullish/Bearish/Neutral)
Combined trend strength score
Overall market bias indicator
Chart alerts for signal changes
Purpose: Identify high-probability trend movements by filtering out noise through multiple confirmation layers.
King Trade 4 and 3 hour buy-sell strategy V2This strategy is a Trend-Following Breakout System specifically designed for high-volatility environments like the 4-hour and 3 hour (3h) (4H) timeframe. It focuses on identifying "Smart Money" movements by combining price action with significant volume surges.
Here is the breakdown of the strategy logic:
1. The Core Signal (Breakout)
The strategy identifies a level using the previous candle's High and Low.
Long Entry: Occurs when the current price crosses above the previous candle's high.
Short Entry: Occurs when the current price crosses below the previous candle's low.
2. The Smart Money Filter (Volume)
A price breakout without volume is often a "Bull Trap" or "Bear Trap." To minimize fake signals, this strategy calculates a Volume Moving Average (SMA 20).
It only enters a trade if the breakout candle's volume is at least 1.5x (or your chosen multiplier) higher than the average. This ensures that the move is backed by institutional or high-intensity trading.
3. The Trend Filter (EMA 200)
To stay on the right side of the market, the strategy uses the 200-period Exponential Moving Average (EMA) as a "Trend Guard":
Only Longs are allowed if the price is above the EMA 200 (Uptrend).
Only Shorts are allowed if the price is below the EMA 200 (Downtrend). This prevents you from buying into a crashing market or selling during a strong bull run.
Apex ICT Delivery & Session Flow ProDescription
The Apex ICT Delivery & Session Flow Pro is a high-precision technical analysis indicator designed for inner-circle traders who prioritize a clean, institutional-grade chart. This script specializes in identifying real-time liquidity levels and displacement zones while utilizing an automated "Cleanup Engine" to ensure that only the most relevant, unmitigated data remains visible.
Core Functionalities
Multi-Timeframe Displacement Engine: The script scans across multiple timeframes (1m, 5m, 15m, 1H) to identify Fair Value Gaps (FVG) created by high-displacement price action. It automatically plots the FVG boxes and the 50% Consequent Encroachment (CE) line for precise entry and target mapping.
Dynamic Session Liquidity: Automatically identifies and tracks the Highs and Lows of the Asia, London, and New York sessions. These levels are explicitly labeled and extended to act as magnet levels for price or points of liquidity reversal.
CISD (Change in State of Delivery): Visualizes shifts in order flow by marking the opening prices of the last opposite candle when price action confirms a change in delivery state. This provides immediate visual feedback on market sentiment shifts.
NY-Specific VWAP: Features a strict New York Session VWAP that resets daily at the NY open (08:00). This serves as the "Mean" for the session, helping traders identify premium and discount zones specifically within the high-volume New York hours.
The "Clean Chart" Cleanup Engine: Unlike standard indicators that clutter the screen with historical data, this script features an intelligent removal system:
FVGs & Order Blocks: Automatically deleted once price trades through them or if they move too far from current price (Proximity Filter).
Broken Session Levels: Highs and Lows are instantly removed once they are breached by price.
Temporal Decay: CISD markers are automatically cleared after 20 candles to keep the focus on immediate delivery.
Stock School IRL & ERLThis indicator is designed to help traders clearly identify liquidity levels on the chart using IRL (Internal Range Liquidity) and ERL (External Range Liquidity).
Liquidity is where the market is attracted.
Price does not move randomly — it moves from one liquidity pool to another.
With this indicator, you can:
• Visually mark IRL (internal liquidity resting inside the range)
• Identify ERL (external liquidity above highs & below lows)
• Understand where Smart Money targets stops
• Anticipate liquidity sweeps, fake breakouts, and reversals
• Improve entries, exits, and trade patience
This tool helps you stop guessing and start reading market intent.
Best used with:
Price Action
Market Structure
Smart Money Concepts (SMC)
Works across:
Stocks • Indices • Forex • Crypto
⚠️ This indicator does not give buy/sell signals.
It provides context, so you trade with logic, not emotions.
If you understand liquidity,
you understand where the market is going next.
Cody Order Block FinderCody Order Block Finder
Free Telegram Trading Community t.me
Overview
A professional order block detection indicator that identifies institutional supply and demand zones on any timeframe. This tool helps traders spot key reversal areas where institutional orders are likely placed, providing strategic levels for limit order entries.
Key Features
🔍 Smart Order Block Detection
Bullish Order Blocks: Identifies the last bearish candle before consecutive bullish candles
Bearish Order Blocks: Identifies the last bullish candle before consecutive bearish candles
Configurable Sensitivity: Adjust the number of consecutive candles required (1-50 periods)
Minimum Move Filter: Set percentage threshold to filter only significant moves
🎨 Visual Customization
Multiple Color Schemes: Choose from DARK, BRIGHT, or NEON themes
Customizable Display: Show/hide bullish/bearish channels
Line Extension: Extend OB lines to current bar for better visibility
Historical View: Toggle between showing all historical OBs or only the latest ones
📊 Advanced Filtering
OB Size Filter: Set minimum and maximum order block size as percentage of price
ATR Filter: Filter OBs based on Average True Range multiples
OB Strength Indicator: Color-coded OBs based on subsequent price move strength
Wick/Body Selection: Choose to mark OBs using whole candle range or body only
🔔 Alert System
Real-time Alerts: Get notified immediately when new order blocks form
Customizable Messages: Set your own alert messages
Once-per-OB Option: Prevent alert spam with single alert per OB
📈 Display Features
Three-Line Channels: Shows high, low, and average levels for each OB
Visual Shapes: Clear triangle markers above/below candles
Info Panel: Displays latest OB statistics in a clean table format
Data Window Info: View OB levels in TradingView's data window
How to Use
Setup
Add indicator to your chart
Configure periods (default: 5) - higher values = fewer but stronger OBs
Set minimum % move (default: 0%) to filter significant moves
Choose color scheme for your preference
Trading Applications
Limit Order Placement: Place buy limits at bullish OB lows, sell limits at bearish OB highs
Stop Loss Reference: Set stops beyond OB extremes
Reversal Confirmation: Use OBs as confluence with other indicators
Support/Resistance: OB levels often act as future support/resistance
Advanced Tips
Combine with volume profile for higher probability zones
Use on higher timeframes (4H, Daily) for more significant levels
Look for OBs at key Fibonacci levels for added confluence
Monitor price reactions when revisiting OBs
Technical Details
Programming Language: Pine Script v6
Overlay: Yes (draws directly on price chart)
Max Lines: 500 (prevents chart clutter)
Timeframe Compatibility: All timeframes (1min to Monthly)
Market Compatibility: Forex, Stocks, Crypto, Futures
Input Parameters
Basic Settings
Relevant Periods: Number of consecutive candles required (1-50)
Min. Percent move: Minimum % move to validate OB (0.0-100.0)
Color Scheme: DARK, BRIGHT, or NEON color themes
Display Options
Show latest Bullish/Bearish Channel: Toggle channel display
Extend OB lines to right: Extend lines to current bar
Show all historical OBs: Display all OBs or only latest
Use whole range: Use High/Low or Open/Close for OB marking
Advanced Filters
Min/Max OB size (%): Filter by order block size
Use ATR filter: Filter based on volatility
Show OB Strength: Color code by subsequent move strength
Alert Configuration
Create alerts directly from the indicator by clicking "Create Alert" button on chart:
Bullish OB alerts when green triangle appears
Bearish OB alerts when red triangle appears
Includes price and OB level information
Best Practices
Higher Timeframes First: Start on daily/4H to identify major levels
Multiple Confluence: Combine with trend lines, Fibonacci, or moving averages
Patience: Wait for price to return to OB levels for entries
Risk Management: Always use appropriate position sizing and stops
Support & Updates
For updates and support, visit the script page. The indicator is regularly maintained for optimal performance across all markets and timeframes.
Perfect for: Swing traders, position traders, institutional traders, and anyone looking to trade with the "smart money" flow using order flow concepts.
Trading Styles: Works with all styles - scalping, day trading, swing trading, and investing.
Experience Level: Suitable for beginners to advanced traders with clear visual cues and customizable settings.
Apex ICT: Proximity & Delivery FlowThis indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
Apex ICT: Proximity & Delivery FlowSimple Description: This indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
ICT CISD+FVG+OBThis script is a high-performance ICT suite designed for traders who want a professional, "noise-free" chart. It identifies core institutional patterns—Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD)—across multiple timeframes.
The script features a proprietary Proximity Cleanup Engine that automatically deletes old or broken levels, keeping your workspace focused only on price action that is currently tradeable. It strictly follows directional delivery rules for CISD and includes a 50-candle "freshness" limit to ensure you never have to manually clear old data from your past bars.
Core Features
Intelligent CISD: Only triggers Bullish CISD on green candles and Bearish CISD on red candles.
Proximity Filter: Automatically wipes away any levels that are "miles away" from the current price.
Clean Workspace: Removes broken session highs/lows and mitigated zones instantly.
Full Customization: Toggle visibility and colors for every component via the settings menu.
Friendly IT Algo System_2026Friendly IT Algo System V1 is a comprehensive trend-following system that combines SMC (Smart Money Concepts) order blocks with powerful volume filters.
🧠 Key Features:
Smart Trend Signals: EMA 7/20 crossover filtered by market energy.
SMC Order Blocks: Automated key supply/demand zones.
Regular Divergence: RSI-based trend reversal tracking.
Auto Fib & Pivot: Displays 0.618 golden level and pivot S/R.
Sideways Filter: ADX-based gray background to avoid choppy markets.
Swing Failure Signals [AlgoAlpha]🟠 OVERVIEW
This script detects swing failure patterns by tracking how price interacts with recent swing highs and lows, then confirming those sweeps with a change in candle behavior. The goal is to highlight areas where price briefly breaks a key level, fails to continue, and then shifts direction. These events often occur around liquidity runs, where stops are triggered before price reverses. The script draws levels, colors bars, and prints clear markers to help visualize where these failures occur and when they are confirmed.
🟠 CONCEPTS
The logic starts with pivot-based swing detection. Recent swing highs and lows are stored and monitored. When price trades beyond one of these levels within a defined historical window, it is treated as a sweep. A sweep alone is not enough. The script then waits for a Change in State of Delivery (CISD), which is defined by a shift in candle structure that shows follow-through in the opposite direction. A tolerance filter measures how far price traveled beyond the level relative to the reaction that followed. If the reaction is strong enough and happens within a limited number of bars, the sweep is validated as a swing failure. In short: the swing defines the reference, the sweep shows intent, and the CISD confirms acceptance or rejection.
🟠 FEATURES
Sweep detection with a maximum lookback to avoid outdated levels
CISD confirmation using candle structure and price expansion
Alert conditions for bullish and bearish swing failures
🟠 USAGE
Setup : Add the script to your chart. It works on any market and timeframe. Lower timeframes highlight intraday liquidity runs, while higher timeframes show structural failures. Start with the default inputs before adjusting.
Read the chart : A bullish swing failure occurs when price sweeps a prior low, then reverses and confirms with a bullish CISD. A bearish swing failure is the opposite, sweeping a prior high and confirming with a bearish CISD. Dashed lines mark the swept swing. Solid lines mark the CISD level. Bars are colored while the SFP state is active.
Settings that matter : Increasing Pivot Detection Length finds more significant swings but fewer signals. Reducing Max Pivot Point Edge limits how far back sweeps are allowed, keeping signals more current. The Patience setting controls how many bars are allowed for confirmation after a sweep. The Trend Noise Filter raises or lowers how strong the reaction must be to qualify as a valid failure.
Liquidity Sweep of Candle & Swing @MaxMaserati 3.0MMM Liquidity Sweep Detector for single candle sweep and/or Swing Sweep
Identify liquidity sweeps with precision. A sweep occurs when price wicks through a key level (previous candle high/low or swing point) but closes back inside the range - indicating a failed breakout and potential reversal.
The set includes: Sweep Low, 50% of wick, TGT level
KEY FEATURES:
- Two Detection Modes: Track sweeps on previous candle levels OR swing highs/lows (pivot points)
- Both Mode: View candle and swing sweeps simultaneously
- Visual Clarity: Each sweep displays three extending lines (SWH/SWL, Target, 50% wick), box zone, and swept level with red X marker
- Smart Updates: When price creates new sweep levels without hitting targets, the entire sweep structure automatically relocates to the new level
- Double-Sided Logic: When both sides are swept on one candle, the indicator intelligently places the sweep on the longest wick side
SWEEP DEFINITION:
Bullish Sweep: Price wicks BELOW a low but closes ABOVE it (back inside range)
Bearish Sweep: Price wicks ABOVE a high but closes BELOW it (back inside range)
The indicator only creates sweeps on unviolated levels - levels that haven't been closed through yet. This ensures you're trading genuine liquidity sweeps, not broken levels.
CUSTOMIZATION:
- Adjustable swing lookback period
- Multiple box placement options
- Full color and display controls
- Invalidation options (Sweep High/Low or 50% Wick)
- Statistics panel showing active sweeps and completion rates
Perfect for traders using ICT concepts, Smart Money Theory, or institutional order flow analysis. Identify where large players are hunting liquidity before reversing price.
⚠️ DISCLAIMER
Educational Tool Only - This indicator is for educational and informational purposes only and does not constitute financial, investment, or trading advice.
Risk Warning - Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. No representation is made that this indicator will achieve profits or prevent losses.
User Responsibility - All trading decisions are solely your responsibility. The developer and Max Maserati Model assume no liability for losses incurred from using this indicator. Conduct your own research and consult a qualified financial advisor before making investment decisions.
By using this indicator, you acknowledge and agree to these terms.
Liquidity Sweep Pro [Whale Edition]Liquidity Sweep Pro is a next-generation trading tool that bridges the gap between Smart Money Concepts (SMC) and Quantitative Volume Analysis.
Traditional "Liquidity Sweep" indicators often generate false signals by marking every wick crossover as a trade setup. This indicator solves that problem by filtering setups through a Quant VSA Engine. It asks not just "Did price sweep a level?" but "Was there institutional money behind this move?"
🔬 How It Works
The indicator operates on three synchronized layers:
1. Market Structure (Liquidity Pools) It automatically identifies key pivot points where retail Stop Losses are likely clustered:
Buy Side Liquidity (BSL): Areas above swing highs.
Sell Side Liquidity (SSL): Areas below swing lows.
2. The Quant Engine (Whale Detection) Instead of using simple volume averages, we apply statistical modeling to detect anomalies:
Log-Normal Z-Score: Normalizes volume data to detect statistically significant outliers (Sigma > 2.5). This adapts to market volatility, filtering out noise.
Kaufman Efficiency Ratio (KER): Analyzes the quality of price movement to classify the "Whale" type:
❄️ Absorption (Iceberg): High Volume + Low Price Movement. Signals a potential reversal.
🚀 Propulsion (Drive): High Volume + High Price Efficiency. Signals an aggressive breakout.
3. The Trigger (Smart Entry) A trade signal is generated ONLY when:
Price sweeps a liquidity level (wicking below/above).
Price closes back within the range.
Institutional Activity is confirmed (High Z-Score Volume).
Trend (EMA 200) and Momentum (RSI) filters are aligned.
🛡️ Features
Intrabar Analysis: Uses request.security_lower_tf to analyze the internal volume delta of the candle for maximum precision.
Automated Risk Management: Plots Entry, Take Profit, and Stop Loss levels directly on the chart based on ATR (Average True Range) and your preferred Risk:Reward ratio.
Unified Alerts: Includes a single "ANY SWEEP" alert condition, allowing you to monitor both Long and Short setups with just one TradingView alert.
Visual Classification: Candles with institutional activity are marked with a 🐋 symbol, even if no sweep occurs, helping you read the narrative.
⚙️ Best Settings & Usage
Timeframes: Works best on 15m, 1h, and 4h charts.
LTF Interval (Input): This is crucial.
If trading on the 1h chart, set LTF to 1 minute.
If trading on the 4h chart, set LTF to 5 minutes.
Whale Threshold: Default is 2.5 Sigma. Increase to 3.0 for fewer, higher-confidence signals, or decrease to 2.0 for more frequency.
⚠️ Disclaimer
This tool is for educational purposes only. It identifies statistical probabilities, not certainties. Always manage your risk and do not rely solely on one indicator.
CME Quarterly ShiftsCME Quarterly Shifts - Institutional Quarter Levels
Overview:
The CME Quarterly Shifts indicator tracks price action based on actual CME futures contract rollover dates, not calendar quarters. This indicator plots the Open, High, Low, and Close (OHLC) for each quarter, with quarters defined by the third Friday of March, June, September, and December - the exact dates when CME quarterly futures contracts expire and roll over.
Why CME Contract Dates Matter:
Institutional traders, hedge funds, and large market participants typically structure their positions around futures contract expiration cycles. By tracking quarters based on CME rollover dates rather than calendar months, this indicator aligns with how major institutional players view quarterly timeframes and position their capital.
Key Features:
✓ Automatic CME contract rollover date calculation (3rd Friday of Mar/Jun/Sep/Dec)
✓ Displays Quarter Open, High, Low, and Close levels
✓ Vertical break lines marking the start of each new quarter
✓ Quarter labels (Q1, Q2, Q3, Q4) for easy identification
✓ Adjustable history - show up to 20 previous quarters
✓ Fully customizable colors and line widths
✓ Works on any instrument and timeframe
✓ Toggle individual OHLC levels on/off
How to Use:
Quarter Open: The opening price when the new quarter begins (at CME rollover)
Quarter High: The highest price reached during the current quarter
Quarter Low: The lowest price reached during the current quarter
Quarter Close: The closing price from the previous quarter
These levels often act as key support/resistance zones as institutions reference them for quarterly performance, rebalancing, and position management.
Settings:
Display Options: Toggle quarterly break lines, OHLC levels, and labels
Max Quarters: Control how many historical quarters to display (1-20)
Colors: Customize colors for each level and break lines
Styles: Adjust line widths for OHLC levels and quarterly breaks
Best Practices:
Combine with other Smart Money Concepts (liquidity, order blocks, FVGs)
Watch for price reactions at quarterly Open levels
Monitor quarterly highs/lows as potential targets or stop levels
Use on higher timeframes (4H, Daily, Weekly) for clearer institutional perspective
Pairs well with monthly and yearly levels for multi-timeframe confluence
Perfect For:
ICT (Inner Circle Trader) methodology followers
Smart Money Concepts traders
Swing and position traders
Institutional-focused technical analysis
Traders tracking quarterly performance levels
Works on all markets: Forex, Indices, Commodities, Crypto, Stocks
