Stabilized HMA ScalperStabilized HMA Scalper / Stab. HMA 2.0
Stabilized HMA Scalper is a visual trend-structure overlay indicator designed to highlight directional momentum, trend alignment, and market state through a combination of adaptive moving averages and contextual visual cues.
The indicator blends a Hull Moving Average (HMA) for responsiveness with an ALMA-based baseline filter to stabilize trend interpretation and reduce noise. The result is a clean, visually expressive framework for reading market structure directly on the price chart.
Core Design Philosophy
This script is built around trend confirmation and state visualization, not prediction or automation.
All elements are calculated on confirmed bar closes and do not repaint.
The indicator focuses on three analytical dimensions:
1. Dual Moving Average Structure
Hull Moving Average (HMA)
Acts as the primary momentum curve.
Designed for fast reaction to directional changes.
Slope behavior is used to infer momentum expansion or contraction.
ALMA Baseline Filter
Provides a stabilizing reference for broader trend context.
Helps distinguish directional movement from short-term fluctuations.
Used as a structural filter rather than a trigger mechanism.
2. Trend State Visualization
When HMA slope and price position relative to the ALMA baseline align, the indicator visually highlights the active market state:
Bullish alignment: upward momentum with supportive structure
Bearish alignment: downward momentum with confirming structure
Neutral / range: mixed conditions or transitional phases
A dynamic gradient fill between HMA and ALMA visually reinforces this alignment, offering an immediate understanding of trend strength and continuity.
3. Visual Markers & Labels
Discrete chart markers may appear at moments when momentum structure transitions into a new aligned state.
These markers are contextual annotations, intended to draw attention to changes in trend conditions rather than to provide standalone decisions.
They are based solely on historical price data and are fully non-repainting.
Dashboard
An optional on-chart dashboard summarizes the current market state classification (Bullish / Bearish / Range) based on the internal trend logic.
Position and size are fully configurable.
Designed for at-a-glance situational awareness.
Reflects the same logic used in the chart visuals.
Usage Disclaimer
This indicator is provided for technical analysis and educational purposes only.
It does not generate financial advice or guarantee outcomes and should be used as part of a broader analytical workflow.
Scalping
EMA200 Momentum ZoneEMA200 Momentum Zone is a clean and minimal momentum-based indicator designed for intraday trading and scalping.
The script combines:
EMA200 as a fair value and trend filter
Parabolic SAR for timing
MACD momentum cross for confirmation
ATR-based zone filter to avoid chop near EMA and late entries at extremes
ATR-based take profit projection for quick decision-making
The indicator highlights only those moments when price is inside the optimal momentum zone — not too close to the mean, and not too far from it.
How it works:
Buy signals appear only in bullish conditions above EMA200
Sell signals appear only in bearish conditions below EMA200
Signals are filtered by minimum and maximum ATR distance from EMA200
A visual take-profit line is drawn using 1× ATR and remains active for a limited number of bars
TP labels show the projected move shown as a percentage for instant evaluation
Recommended use:
Designed for 1-minute charts
Works best on indices, gold, and liquid futures
Can be used as a signal tool or a momentum scanner
Alerts are supported
Important note:
This indicator is for educational purposes only and does not provide financial advice.
Always manage risk and confirm signals with your own analysis.
Dynamic Flow Ribbon [Adaptive]The Dynamic Flow Ribbon is a next-generation trend-following tool designed to solve the two biggest problems traders face: Lag and Noise .
Unlike traditional Moving Averages (SMA/EMA) that are often too slow to catch reversals or too sensitive to chop, this indicator utilizes Rational Quadratic Kernel Smoothing . This advanced mathematical approach creates a "Flow Ribbon" that hugs price action tightly during trends while remaining silky smooth, filtering out the random noise that leads to false signals.
This is not just a crossover indicator; it is a complete Market Regime Detector . It automatically identifies when the market is trending and when it is ranging, helping you stay out of dangerous "chop" zones.
Why Use This?
Zero-Lag Smoothing: Experience the responsiveness of a fast EMA with the smoothness of a slow SMA.
Chop Filter: The ribbon automatically turns Gray when volatility (ADX) drops, signaling you to sit on your hands and preserve capital.
Visual Clarity: No messy lines. Just a clean, glowing ribbon that tells you the trend direction instantly.
How It Works
The indicator calculates two dynamic curves:
Fast Flow Line: Tracks immediate price action using a tight kernel window.
Base Flow Line: A slower, weighted baseline that acts as the trend anchor.
The Ribbon: The space between these lines forms the "Ribbon."
Green (Bullish): Fast Flow > Base Flow. The trend is Up.
Red (Bearish): Fast Flow < Base Flow. The trend is Down.
Gray (Flat): Volatility is too low (ADX < Threshold). The market is sideways.
How to Trade
This tool is best used for Trend Continuation and Reversal Catching .
The Entry: Wait for a Crossover Signal (Small Circle).
Buy when the Ribbon flips Green.
Sell when the Ribbon flips Red.
The Filter: If the Ribbon is Gray , ignore all signals. This prevents you from getting whipsawed in a ranging market.
The Exit: You can ride the trend until the Ribbon flips color, or use your own support/resistance targets.
Settings
Bandwidth (Smoothness): Adjusts the sensitivity of the kernel. Higher values = smoother ribbon (better for swing trading). Lower values = faster reaction (better for scalping).
Trend Filter: Toggle the ADX-based chop filter on/off.
Visuals: Fully customizable colors to match your chart aesthetic.
Pro Tip: Combine for Maximum Accuracy
While the Dynamic Flow Ribbon is excellent for Trend Direction, it does not plot Support & Resistance levels.
For the ultimate trading setup, I highly recommend pairing this with my AIO Pivot Master
or any other pivot indicator, which you can easily find on TradingView.
Use Dynamic Flow to determine the Direction .
Use AIO Pivot Master to find your Entry and Exit targets .
Disclaimer
For Educational and Informational Purposes Only
This indicator is provided for educational and informational purposes only and DOES NOT constitute financial, investment, or trading advice. It does not predict future market movements with certainty.
Risk Warning
Trading in financial markets (Stocks, Crypto, Futures, Forex, etc.) involves a high degree of risk and may not be suitable for all investors. You could lose some or all of your initial investment. Past performance of any trading system or methodology is not necessarily indicative of future results.
No Liability
The author of this script assumes no responsibility or liability for any errors or omissions in the content of this indicator, or for any trading losses or damages incurred as a result of using this tool. Users are solely responsible for their own trading decisions and should always use proper risk management. By using this script, you acknowledge and agree to these terms.
Kijun-Sen with Buy / Sell Labels & Alerts - Ichimoku simplifiedI built this indicator for my own scalping style. Maybe it fits yours, too?
Happy scalping!
Leswin Ribbon + Levels + Hybrid (Stocks/Crypto) v1Leswin Ribbon Signals
A trend-based momentum indicator built for day traders and scalpers. Uses an EMA ribbon, higher-timeframe trend filtering, and volatility conditions to highlight high-probability BUY and SELL zones while avoiding choppy markets.
Optimized for 5m & 15m entries, especially for SPY, QQQ, DIA, IWM, and large-cap stocks, but works on all markets including crypto and forex.
Non-repainting. Best used as a confirmation tool alongside your own levels and risk management.
Leswin Stocks Ribbon Signals (SPY/QQQ)
Leswin Ribbon Signals – Day Trading Indicator (Stocks & Crypto)
Leswin Ribbon Signals is a trend-based momentum indicator designed for day traders and scalpers who trade stocks, ETFs, options, and crypto.
Built for fast execution on 5m, 15m, and 1H timeframes, it uses a dynamic EMA ribbon, trend filtering, and volatility conditions to help identify high-probability BUY and SELL zones while avoiding low-quality chop.
Features:
• Trend-following EMA ribbon
• Automatic higher-timeframe trend filter
• Smart BUY & SELL signals
• Volatility (ATR) filter to avoid dead zones
• Regular Trading Hours (RTH) filter for stocks
• Optimized for SPY, QQQ, DIA, IWM, TSLA, AAPL, META
• Works on crypto, forex, and futures
• Mobile-friendly
• Non-repainting logic
This indicator is best used as a confirmation tool, not a standalone system. Always combine with your own levels, structure, and risk management.
Smart Money Flow Signals [QuantAlgo]🟢 Overview
The Smart Money Flow Signals indicator synthesizes significant volume-price dynamics through multi-component analysis to identify potential accumulation and distribution phases driven by substantial market participants. It combines Money Flow Index momentum, Chaikin Money Flow accumulation patterns, volume-weighted price momentum, and buying/selling pressure metrics into a unified composite oscillator that quantifies periods of concentrated capital movement, helping traders and investors identify conditions where significant volume participants may be actively positioning across multiple market conditions and timeframes.
🟢 How It Works
The indicator's core methodology lies in its weighted composite approach, where multiple volume-price components are calculated sequentially and then integrated to create a comprehensive significant flow activity signal.
First, the Money Flow Index (MFI) is calculated to measure buying and selling pressure by incorporating volume into price momentum analysis:
raw_money_flow = source * volume
positive_flow = source >= source ? raw_money_flow : 0
negative_flow = source < source ? raw_money_flow : 0
positive_money_flow = math.sum(positive_flow, mfi_period)
negative_money_flow = math.sum(negative_flow, mfi_period)
money_flow_index = 100 - 100 / (1 + positive_money_flow / negative_money_flow)
This creates an RSI-style momentum indicator that tracks whether money (price × volume) is flowing into or out of the asset, with values ranging from 0 to 100 where readings above 50 suggest buying pressure dominance.
Then, Chaikin Money Flow (CMF) is computed to evaluate accumulation and distribution by analyzing where prices close within each bar's range, weighted by volume:
money_flow_multiplier = high != low ? (close - low - (high - close)) / (high - low) : 0
money_flow_volume = money_flow_multiplier * volume
volume_sma = ta.sma(volume, trend_period)
chaikin_money_flow = volume_sma != 0 ? ta.sma(money_flow_volume, trend_period) / volume_sma : 0
Positive CMF values indicate accumulation (closes near the high of the range), while negative values indicate distribution (closes near the low of the range), with volume weighting emphasizing periods of significant participation.
Next, Volume Analysis is performed to quantify current volume intensity relative to historical averages:
volume_average = ta.sma(volume, trend_period)
volume_strength = volume_average != 0 ? volume / volume_average : 1
volume_weight = math.log(volume_strength + 1)
The logarithmic transformation creates a volume weight that amplifies signals during high-volume periods while preventing extreme volume spikes from overwhelming the composite calculation.
Following this, Buy/Sell Pressure is quantified by comparing cumulative volume during bullish versus bearish candles:
buying_pressure = math.sum(volume * (close >= open ? 1 : 0), trend_period)
selling_pressure = math.sum(volume * (close < open ? 1 : 0), trend_period)
pressure_ratio = (buying_pressure - selling_pressure) / (buying_pressure + selling_pressure) * 100
This creates a directional pressure ratio that reveals whether significant participants are predominantly buying or selling, expressed as a percentage between -100 (all selling) and +100 (all buying).
Then, Volume-Weighted Momentum is calculated through an exponential smoothing channel that adjusts price deviation based on volume intensity:
exponential_smooth_average = ta.ema(source, momentum_channel_period)
deviation = ta.ema(math.abs(source - exponential_smooth_average), momentum_channel_period)
channel_index = deviation != 0 ? (source - exponential_smooth_average) / (0.015 * deviation) * (1 + volume_weight * 0.5) : 0
This channel index measures how far price has deviated from its exponential average relative to typical deviation, with the volume weight multiplier (1 + volume_weight * 0.5) amplifying the signal when significant volume accompanies the price movement.
Finally, the Composite Wave is constructed by combining all components with specific weighting to create the final oscillator:
momentum_wave = ta.ema(channel_index, trend_period)
money_flow_wave = (money_flow_index - 50) * 1.2
chaikin_flow_wave = chaikin_money_flow * 100
composite_wave = momentum_wave * 0.5 + chaikin_flow_wave * 0.3 + money_flow_wave * 0.2
smoothed_wave = ta.sma(composite_wave, signal_smoothing)
This creates a multi-dimensional volume flow oscillator that combines price-volume momentum, accumulation-distribution patterns, and buying-selling pressure into a single signal, providing traders with probabilistic insights into periods of concentrated market activity and directional bias based on weighted component convergence.
🟢 Signal Interpretation
▶ Positive Values (Above Zero, Green): Composite money flow above equilibrium indicating net accumulation pressure, positive buying volume dominance, and bullish volume-price alignment = Favorable conditions for long positions, significant capital flowing into the asset = Buy/hold opportunities
▶ Negative Values (Below Zero, Red): Composite money flow below equilibrium indicating net distribution pressure, negative selling volume dominance, and bearish volume-price alignment = Unfavorable conditions for long positions, significant capital flowing out of the asset = Sell/short opportunities
▶ Extreme Overbought Zone: Excessive bullish money flow indicating potential accumulation exhaustion, where buying pressure may have reached unsustainable levels with elevated reversal risk = Caution on new longs, potential distribution phase beginning, profit-taking zone for existing positions
▶ Extreme Oversold Zone: Excessive bearish money flow indicating potential distribution exhaustion, where selling pressure may have reached unsustainable levels with elevated reversal risk = Caution on new shorts, potential accumulation phase beginning, buying opportunity zone for contrarian entries
▶ Smoothed Trend Line (White) Alignment: When the smoothed trend line confirms the composite wave direction, it validates the underlying volume-price trend and filters false signals caused by short-term noise
▶ Volume Intensity Correlation: Gradient intensity (color saturation) reflects combined wave strength, volume participation, and directional alignment, where darker/more saturated colors indicate stronger concentrated activity and higher-probability directional moves
🟢 Features
▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches.
1. "Default" provides balanced volume flow measurement suitable for swing trading on 4-hour and daily charts, offering moderate responsiveness to money flow shifts with standard RSI-equivalent MFI period and moderate smoothing for most market conditions.
2. "Fast Response" delivers heightened sensitivity optimized for active intraday trading and scalping on 1-minute to 1-hour charts, using compressed calculation periods across all components and minimal smoothing to capture rapid volume flow changes and quick trend shifts as they develop, ideal for early entry/exit opportunities with acceptance of increased signal frequency during consolidation.
3. "Smooth Trend" offers conservative extreme identification ideal for position trading and long-term analysis on daily to weekly charts, employing extended periods across all money flow components with substantial smoothing to filter short-term noise and isolate only strong, sustained accumulation and distribution phases driven by significant volume participants.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of significant money flow transitions and extreme market states.
1. "Bullish Flow" triggers when the composite wave crosses above zero, signaling the shift from distribution to accumulation and concentrated buying activity beginning.
2. "Bearish Flow" activates when the composite wave crosses below zero, signaling the shift from accumulation to distribution and concentrated selling activity starting.
3. "Any Flow Direction Change" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general money flow momentum shifts.
4. "Extreme Overbought" alerts when the composite wave reaches or exceeds the overbought threshold (default +60), indicating excessive buying pressure and potential exhaustion.
5. "Extreme Oversold" notifies when the composite wave reaches or falls below the oversold threshold (default -60), indicating excessive selling pressure and potential capitulation.
6. "Overbought Reversal" triggers specifically when the wave crosses back down through the overbought level after being extended, signaling the beginning of distribution from extreme levels.
7. "Oversold Reversal" activates when the wave crosses back up through the oversold level after being extended, signaling the beginning of accumulation from extreme levels.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of bullish versus bearish volume flow conditions across various devices and screen sizes. Optional bar coloring provides instant visual context of current significant volume activity intensity and direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess volume-price positioning dynamics while analyzing price action.
Multi-Signal the FlasherTitle: Multi-Signal Flasher - External Signal Alert System
Short Description: Visual screen flash alerts triggered by external indicator signals. Supports 4 signal sources with separate Long/Short flash colors.
Description:
This indicator provides a powerful visual alert system that flashes your entire chart when external indicator signals fire. Perfect for traders who need unmissable alerts when their custom signals trigger.
Features
4 External Signal Sources - Connect up to 4 different indicators
Long/Short Classification - Assign each signal as Long or Short for different colored flashes
OR Logic - Any enabled signal firing triggers the flash
Customizable Flash Colors - Separate color schemes for Long and Short signals
Adjustable Cycles - Control how many times the colors alternate
On-Screen Message - Displays "LONG SIGNAL!" or "SHORT SIGNAL!" during flash
How It Works
The indicator monitors your selected external signal sources. The trigger fires when a signal transitions from no value to a value >= 1, the chart flashes with alternating colors to grab your attention.
Signals set to Long → Flash with Long colors (default: green/purple)
Signals set to Short → Flash with Short colors (default: red/yellow)
Setup
Add your signal indicators to the chart first
Add this indicator
In settings, enable Signal 1-4 as needed
Select each signal's plot from the dropdown
Set each signal as Long or Short
Check "Enable the Flasher" to arm the system
Customize colors and messages to your preference
Important Notes
⚠️ Seizure Warning - This indicator flashes colors rapidly. User discretion is advised for those with photosensitive epilepsy.
Flashes only occur in real-time - historical bars will not trigger flashes
The trigger fires when a signal transitions from no value to a value >= 1. not while signal persists
Color cycling depends on feed updates
Use Cases
Multi-indicator confluence alerts
Separate long/short signal systems
High-visibility scalping alerts
Any system where missing a signal is costly
Credits:
Original "the Flasher" code by @allanster
Core flash function and table-based color cycling system
Modified by @m4ybee
Multi-signal source support (4 inputs)
External indicator integration via input.source()
Long/Short signal classification
OR logic signal combining
Separate color schemes for Long/Short
ApEn Zones with Delta Confirmation MTF [PhenLabs]📊 ApEn Zones with Delta Confirmation MTF
Version: PineScript™ v6
📌 Description
The ApEn Zones with Delta Confirmation MTF indicator combines Approximate Entropy analysis with cumulative volume delta to identify high-probability support and resistance zones. Approximate Entropy (ApEn) measures the complexity and unpredictability in price data—when ApEn drops significantly, it signals a transition from chaotic to ordered market behavior, often preceding reversals or continuations.
This indicator goes beyond simple ApEn detection by integrating Delta confirmation, which validates zones using volume-based order flow analysis. When a zone forms with Delta confirmation, it indicates institutional participation aligning with the price structure. The multi-timeframe capability allows traders to detect zones forming on higher timeframes while executing on their preferred chart.
🚀 Points of Innovation
First indicator to combine ApEn complexity analysis with cumulative Delta confirmation for zone validation
Pre-built calculation presets eliminate guesswork—optimized parameters for scalping, day trading, and swing trading
Smart zone management automatically removes invalidated zones after two price rejections
Multi-timeframe architecture detects zones on configurable timeframes independent of chart timeframe
Visual style presets provide instant customization from high contrast to subtle overlays
Delta threshold system distinguishes between regular zones and institutionally-confirmed zones
🔧 Core Components
ApEn Calculator: Measures pattern regularity using embedding dimension (m=2) and tolerance factor (r) against price standard deviation to quantify market complexity
Delta Engine: Computes cumulative delta from volume and price movement, comparing against statistical thresholds to identify significant order flow divergence
Zone Generator: Creates visual box zones at signal points with dynamic sizing based on bar range and confirmation status
MTF Request Handler: Fetches ApEn calculations from user-specified timeframe using security() calls for higher timeframe alignment
Zone Manager: Tracks zone interactions, counts rejections, and automatically purges zones that have been tested twice
🔥 Key Features
Calculation Presets: Choose from Aggressive, Conservative, Scalping 1m, Strong Scalping, Swing Trading, or Default—each preset optimizes all parameters for specific trading styles
Visual Style Presets: Select Default, High Contrast, Subtle, Classic, Neutral, or Neutral Reverse to match your chart theme and preference
Delta Confirmation: Zones display with enhanced opacity when cumulative delta confirms institutional participation in the direction of the zone
Automatic Zone Cleanup: Zones self-destruct after two rejections, keeping your chart clean and focused on active levels
Alert System: Four alert conditions for buy zones, sell zones, strong buy signals, and strong sell signals
Maximum Zone Control: Limits display to 5 zones per direction to prevent chart clutter
🎨 Visualization
Buy Zones: Displayed as horizontal boxes at low points when ApEn crosses under threshold—lighter transparency indicates regular zone, darker indicates Delta confirmation
Sell Zones: Displayed as horizontal boxes at high points when ApEn crosses over threshold—visual confirmation follows same transparency logic
Zone Boundaries: Each zone extends 10% of bar range above and below the signal level, providing clear entry and stop areas
Dynamic Extension: All zones automatically extend rightward with each new bar until invalidated
📖 Usage Guidelines
Calculation Preset Selection
Scalping 1m / Strong Scalping: Use for 1-5 minute charts with faster signal generation and tighter thresholds (Length: 15, Zone Length: 5)
Aggressive: Shorter lookback (Length: 10) generates more zones with lower confirmation requirements—higher frequency, more noise
Default: Balanced parameters suitable for 5-15 minute charts (Length: 15, Zone Threshold: 0.5, Delta Length: 4)
Conservative: Extended lookback (Length: 30) with stricter thresholds—fewer but higher probability zones
Swing Trading: Longest parameters (Length: 40, Zone Length: 20) for 1H-4H charts capturing major structural zones
Visual Style Selection
High Contrast: Bright green/red for maximum visibility on any background
Subtle: Muted green/red with transparency for minimal chart distraction
Classic: Traditional lime green and crimson color scheme
Neutral / Neutral Reverse: Grayscale tones for non-directional bias visualization
Timeframe Configuration
Default timeframe is set to 1 minute—adjust based on your execution timeframe
For scalping: Set zone timeframe 1-3x your chart timeframe
For swing trading: Set zone timeframe to 4H or Daily while viewing 1H charts
✅ Best Use Cases
Identifying reversal zones during high-volatility market conditions
Confirming support/resistance levels with volume-based order flow validation
Scalping entries on lower timeframes with higher timeframe zone confluence
Filtering trade setups by requiring Delta confirmation before entry
Setting stop losses beyond zone boundaries after rejection tests
Swing trade positioning at zones detected on 4H/Daily timeframes
⚠️ Limitations
ApEn calculations are computationally intensive—may experience slower loading on very long chart histories
Delta estimation uses (close - open) * volume approximation, not actual order flow data
Zones require sufficient price history—indicator needs max_bars_back of 2000 bars for proper calculation
Low volume instruments may produce unreliable Delta confirmation signals
Zone rejections are counted based on price interaction, not candle close confirmation
Maximum of 5 zones per direction limits visibility during highly active markets
💡 What Makes This Unique
Entropy-Based Detection: Uses mathematical complexity analysis rather than simple price patterns to identify zones
Dual Confirmation System: Combines ApEn signals with Delta divergence for higher probability setups
Adaptive Presets: Six calculation presets and six visual styles create 36 possible configurations without manual parameter adjustment
Self-Managing Zones: Automatic invalidation after two rejections mimics how professional traders track level degradation
🔬 How It Works
Step 1 - ApEn Calculation: The indicator computes Approximate Entropy by measuring how often similar patterns of length m repeat within tolerance r multiplied by standard deviation—lower values indicate more predictable (ordered) price behavior
Step 2 - Signal Generation: Buy signals trigger when higher timeframe ApEn crosses under the average ApEn divided by threshold; sell signals trigger when ApEn crosses over average multiplied by threshold
Step 3 - Delta Confirmation: Cumulative delta is compared against its moving average plus/minus standard deviation times threshold—extreme readings confirm institutional order flow alignment
Step 4 - Zone Creation: Visual boxes are drawn at signal bars with dimensions based on bar range; confirmed zones receive enhanced opacity while unconfirmed zones appear more transparent
Step 5 - Zone Lifecycle: Active zones extend with each bar and track price interactions; after two rejections (price touches zone but reverses), the zone is automatically deleted
💡 Note:
This indicator works best when combined with trend analysis and market structure. Use calculation presets as starting points and adjust the Zone Timeframe setting to align with your trading methodology. Delta confirmation significantly improves zone reliability but requires volume data—instruments with low or unreported volume should rely primarily on ApEn signals alone. Always validate signals with price action context before executing trades.
[HFT] Leaky Bucket: FPGA-Based Order Flow SimulationDescription:
This indicator is a functional simulation of a hardware-based "Leaky Bucket" algorithm, typically used in FPGA (Field-Programmable Gate Array) chips for High-Frequency Trading (HFT) and network traffic shaping.
Unlike standard volume indicators (like OBV or CMF) that rely on floating-point Moving Averages (EMA/SMA), this script uses Bitwise Integer Math to simulate hardware registers. This approach removes the lag associated with smoothing and provides a raw, "tick-by-tick" representation of Order Flow exhaustion.
█ Underlying Concepts (How it works)
Integer Math & Bitwise Logic: The script eschews standard float calculations for int registers. Instead of division, it uses Bitwise Right Shift (>>) to simulate the "leak" rate. This mimics how hardware processes data streams with near-zero latency.
The Leaky Bucket Model:
Flow (Input): Volume * Price Delta flows into a "Bucket" (Accumulator Register).
Leak (Output): The bucket leaks at a constant rate determined by the Decay Shift.
Saturation: If the Flow > Leak, the bucket fills. We simulate a 32-bit integer saturation limit (sat_limit). When the bucket hits this limit, it represents "Panic Buying/Selling" — the market capability to absorb orders is saturated.
█ Uniqueness & Originality This is custom-built code, not a mashup of existing indicators. It translates hardware logic (Verilog/VHDL concepts) into Pine Script:
It introduces a "Saturation Warning" mechanism that detects when volume pressure exceeds mathematical limits.
It implements a "Gray Line" Strategy, focusing on volatility decay rather than momentum initiation.
█ How to Use: The "Gray Line" Strategy
This tool is designed for Mean Reversion and Exhaustion Trading, specifically on M1 to M5 timeframes.
Do NOT trade the breakout: When you see massive Green (Long) or Purple (Short) bars, this indicates "Extreme Momentum". Do not enter yet. Wait.
Wait for the "Gray Line": The signal is generated when the Extreme Momentum stops and the bar turns Gray (Neutral).
Signal L (Long): Generated when a sequence of Extreme Short bars (Purple) ends, and the histogram returns to Gray/Maroon. This confirms sellers are exhausted.
Signal S (Short): Generated when a sequence of Extreme Long bars (Green) ends, and the histogram returns to Gray/Teal. This confirms buyers are exhausted.
█ Disclaimer This script is intended for educational purposes regarding HFT algorithms and Order Flow analysis. It does not provide financial advice.
ATR Supertrend [QuantAlgo]🟢 Overview
The ATR Supertrend indicator identifies trend direction and reversal points using volatility-adjusted dynamic support and resistance levels. It combines Average True Range (ATR) volatility measurement with adaptive price bands and EMA smoothing to create trailing stop levels that automatically adjust to market conditions, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volatility-adaptive band system, where dynamic support and resistance levels are calculated based on market volatility and price movement:
smoothedSource = ta.ema(source, smoothingPeriod)
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
The script uses ATR-based bands that expand and contract with market volatility, ensuring the indicator adapts to different market conditions rather than using fixed price distances:
if trend == 1
supertrend := math.max(supertrend, smoothedSource - atr)
else
supertrend := math.min(supertrend, smoothedSource + atr)
First, it applies optional EMA smoothing to the price source to reduce noise and filter out minor price fluctuations that could trigger premature trend changes, allowing traders to focus on genuine momentum shifts.
Then, the ATR calculation measures market volatility using the Average True Range over the specified lookback period, multiplied by the user-defined factor to set the band distance:
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether price is in an uptrend or downtrend, automatically adjusting the Supertrend line position:
if trend == 1
if smoothedSource < supertrend
trend := -1
supertrend := smoothedSource + atr
The Supertrend line can act as a trailing stop that follows price during trends but never moves against the trend direction, i.e., it ratchets upward with price in uptrends and ratchets downward with price in downtrends.
Finally, trend reversal signals are generated when price crosses the Supertrend line, indicating a shift in market momentum:
bullSignal = trend == 1 and trend == -1
bearSignal = trend == -1 and trend == 1
This creates a volatility-adaptive trend-following system that combines dynamic support/resistance levels with momentum confirmation, providing traders with clear directional signals and automatic stop-loss levels that adjust to changing market conditions.
🟢 Signal Interpretation
▶ Bullish Trend (Green): Price trading above Supertrend line with indicator showing bullish color, indicating established upward momentum = Long/Buy opportunities
▶ Bearish Trend (Red): Price trading below Supertrend line with indicator showing bearish color, indicating established downward momentum = Short/Sell opportunities
▶ Supertrend Line as Dynamic Support: In uptrends, the Supertrend line can act as trailing support level that rises with price, never declining = Use as potential stop-loss reference for long positions = Price holding above indicates trend strength
▶ Supertrend Line as Dynamic Resistance: In downtrends, the Supertrend line can act as trailing resistance level that falls with price, never rising = Use as potential stop-loss reference for short positions = Price holding below indicates trend weakness
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches. "Default" provides balanced trend detection for swing trading on daily/4-hour charts with moderate sensitivity. "Fast Response" delivers quick trend change detection for intraday trading on 5-minute to 1-hour charts, capturing moves early with increased whipsaw potential. "Smooth Trend" focuses on strong sustained trends for position trading on daily/weekly timeframes, filtering noise to identify only major trend shifts.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and momentum shifts. "Bullish Trend" triggers when price crosses above the Supertrend line and the trend state changes from bearish to bullish, signaling potential long entry opportunities. "Bearish Trend" activates when price crosses below the Supertrend line and the trend state changes from bullish to bearish, signaling potential short entry or long exit points. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring.
▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the Supertrend line and price, with higher opacity values creating subtle background context while lower values produce bold trend zone emphasis. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves, providing immediate visual reinforcement of current trend direction without requiring reference to the Supertrend line, with transparency controls allowing users to maintain visibility of candlestick patterns while still showing trend context.
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM)
OVERVIEW
Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders.
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THE CORE PROBLEM THIS INDICATOR ADDRESSES
Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context).
SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system.
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WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER
The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow:
LAYER 1: MOMENTUM FUEL GAUGE
This answers the question: "Does the current move still have energy?"
After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors:
Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range.
Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher.
Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation.
Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime.
These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where:
- Above 70% = Strong momentum (green)
- 40-70% = Moderate momentum (amber)
- Below 40% = Weak momentum (red)
- Below 20% = Exhausted (triggers EXIT warning)
The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate.
IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy.
LAYER 2: TRAP ZONE DETECTION
This answers the question: "Am I walking into a potential reversal area?"
Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points:
How it works:
1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot).
2. Recent swing points are stored (up to 10 of each type).
3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR.
4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones.
5. A Confluence Score is calculated based on cluster density and proximity to current price.
The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal.
CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data.
LAYER 3: VELOCITY ANALYSIS
This answers the question: "Is price moving favorably right now?"
Velocity measures how fast price is currently moving compared to its recent average:
Calculation:
- Current velocity = Absolute price change from previous bar divided by ATR
- Average velocity = Simple moving average of velocity over the lookback period
- Velocity ratio = Current velocity divided by average velocity
Classification:
- FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays.
- NORMAL (ratio 0.5 to 1.5) : Typical price movement speed.
- SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult.
The velocity score contributes 18% to the overall quality score calculation.
LAYER 4: SESSION AWARENESS
This answers the question: "Is this a good time to trade?"
Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment:
Session Times (all in UTC):
- A sia Session : 00:00 - 08:00 UTC
- London Session : 08:00 - 16:00 UTC
- New York Session : 13:00 - 21:00 UTC
- London/NY Overlap : 13:00 - 16:00 UTC
- Off-Peak : Outside major sessions
Session Quality Weighting:
- Overlap : 100 points (highest liquidity, best movement)
- London : 85 points
- New York : 80 points
- Asia : 50 points (tends to range more)
- Off-Peak : 30 points (lower liquidity, more false signals)
The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours.
Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing.
LAYER 5: VOLATILITY REGIME ADAPTATION
This answers the question: "How should I adjust for current market conditions?"
SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market:
HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections.
NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply.
LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility.
This adaptation prevents false signals during erratic markets and missed signals during quiet markets.
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THE SYNERGY: WHY THIS COMBINATION MATTERS
These five layers are not independent indicators placed on one chart. They form an interconnected system:
- A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime).
- The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals.
- Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones.
- The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals.
- Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours.
This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation.
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HOW THE QUALITY SCORE IS CALCULATED
The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short):
For Long Quality Score:
- Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise
- Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20)
- Velocity Component (18% weight) : Direct velocity score
- Session Component (17% weight) : Current session quality score
- Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA
For Short Quality Score:
- Same structure but reversed (bearish impulse direction, trap zone above, price below SMA)
The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions.
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SIGNAL TYPES AND WHAT THEY MEAN
SPM generates four types of signals, each with specific visual representation:
PRIME SIGNALS (Cyan Diamond)
These represent the highest quality confluence. Requirements:
- Quality score crosses above the Prime threshold (default 80)
- Bias aligns with signal direction
- Fuel is sufficient (above 40%)
- Session is active (not off-peak)
- Cooldown period has passed
Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above.
STANDARD SIGNALS (Green Triangle Up / Red Triangle Down)
These represent good quality setups. Requirements:
- Quality score crosses above the Standard threshold (default 75) but below Prime
- Same bias, fuel, and cooldown requirements as Prime
Standard signals appear as small triangles in green (long) or red (short).
CAUTION SIGNALS (Small Faded Circle)
These represent minimum threshold setups. Requirements:
- Quality score crosses above the Caution threshold (default 65) but below Standard
- Same additional requirements
Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions.
EXHAUSTION SIGNAL (Purple X with "EXIT" text)
This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to:
- Consider exiting existing positions
- Avoid entering new trades in the current direction
- Wait for new momentum to develop
All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars.
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READING THE CHART ELEMENTS
TRAP ZONES (Red Dashed Box with "TRAP XX%" Label)
These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity.
How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it.
ENTRY ZONES (Green Solid Box with "ENTRY" Label)
These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance).
How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur.
TARGET ZONES (Blue Dotted Box with "TARGET" Label)
These project potential take-profit areas based on ATR multiples, adjusted for:
- Current volatility regime (wider in high volatility, tighter in low)
- Impulse direction (larger targets when aligned with impulse)
- Nearby trap zones (targets adjust to avoid placing TP inside trap zones)
How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably.
STOP LEVEL (Orange Dashed Line with "STOP" Label)
This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists).
How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level.
Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act.
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UNDERSTANDING THE DASHBOARD (Top Right Panel)
The main dashboard provides comprehensive market context:
Row 1 - Header:
- "SPM " : Indicator name
- Market State : Current overall condition
Market States Explained:
- PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities.
- READY : Good conditions. Quality score meets standard threshold. Solid setups available.
- WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended.
- AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals.
- EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting.
Row 2-3 - Quality Bars:
- " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty)
- " DN ########## " : Visual meter for short quality
- The number on the right shows the exact quality score
Row 4 - Bias:
- Shows current directional lean: LONG, SHORT, or NEUTRAL
- Color-coded: Green for long, red for short, gray for neutral
Rows 5-7 (Full Mode Only) - Trade Levels:
- Entry : Suggested entry price for current bias direction
- Stop : Suggested stop-loss price
- Target : Projected take-profit price
Row 8 - Risk:Reward Ratio:
- Format : "1:X.X" where X.X is the reward multiple
- Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1
Row 9 - Fuel:
- Shows percentage and estimated bars remaining in parentheses
- Example : "72% (8)" means 72% fuel with approximately 8 bars remaining
- Color-coded : Green above 70%, amber 40-70%, red below 40%
Row 10-11 (Full Mode Only) - Market Conditions:
- Vol : Current volatility regime (HIGH/NORMAL/LOW)
- Speed : Current velocity zone (FAST/NORMAL/SLOW)
Row 12 - Session:
- Shows active trading session
- Color-coded by session type
Row 13 (Full Mode Only) - Remaining:
- Time remaining in current session (hours and minutes)
Row 14 (Conditional) - Trap Warning:
- Appears when a significant trap zone exists in your bias direction
- Shows direction (ABOVE/BELOW) and confluence percentage
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UNDERSTANDING THE QUICK PANEL (Bottom Left)
The Quick Panel provides essential information at a glance without looking away from price action:
Row 1: Current Bias and Quality Score (large text for quick reading)
Row 2: Market State
Row 3: Fuel Percentage
Row 4: Estimated Bars Remaining
Row 5: Risk:Reward Ratio
Row 6: Current Session
Both panels can be repositioned using the settings, and each can be toggled on/off independently.
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SETTINGS EXPLAINED
CORE SETTINGS:
Analysis Lookback (Default: 20)
Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise.
Swing Detection Length (Default: 5)
Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones).
Impulse Sensitivity (Default: 1.5)
Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant.
SIGNAL SETTINGS:
Prime/Standard/Caution Thresholds (Defaults: 80/75/65)
These control the quality score required for each signal tier. You can adjust these based on your preference:
- More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals
- More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality
Signal Cooldown (Default: 8 bars)
Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh.
Show Prime/Standard/Caution/Exhaustion Signals
Toggle each signal type on or off based on your preference.
ZONE DISPLAY:
Show Trap Zones / Entry Zones / Target Zones / Stop Levels
Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter.
Zone Transparency (Default: 88)
Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent.
Zone History (Default: 25 bars)
How far back zone boxes extend on the chart. Purely visual preference.
BACKGROUND:
Background Mode (Options: Off, Subtle, Normal)
Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely.
Background Type (Options: Bias, Fuel)
- Bias : Colors background based on current directional lean (green for long, red for short)
- Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low)
DASHBOARD / QUICK PANEL:
Show Dashboard / Show Quick Panel
Toggle each panel on or off.
Compact Mode
When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining.
Position Settings
Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left.
ALERTS:
Alert Prime Signals / Standard Signals / Fuel Exhaustion
Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur.
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RECOMMENDED TIMEFRAMES AND USAGE
OPTIMAL TIMEFRAMES:
- 1-minute to 5-minute : Best for active scalping with quick entries and exits
- 5-minute to 15-minute : Balanced scalping with slightly more confirmation
- 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals
Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes.
BEST PRACTICES:
1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better.
2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny.
3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions.
4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level.
5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1).
6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results.
7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context.
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PRACTICAL EXAMPLE
Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar.
Before entering, you check the dashboard:
- State shows "PRIME" - conditions are favorable
- Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars)
- R:R shows "1:2.3" - acceptable risk-to-reward ratio
- Session shows "LONDON" - active session with good liquidity
- No TRAP warning in dashboard - no immediate resistance cluster in your way
- Entry zone visible on chart at a lower price level
- Stop and Target zones clearly marked
With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade.
However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones.
This multi-factor confirmation delivered in a single glance is what SPM provides.
Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed.
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DATA WINDOW VALUES
For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected):
- Long Quality Score (0-100)
- Short Quality Score (0-100)
- Fuel Gauge (0-100%)
- Risk:Reward Ratio
These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style.
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NON-REPAINTING CONFIRMATION
All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means:
- Signals appear at the OPEN of the new bar (after the previous bar closes)
- Signals will NEVER disappear once they appear
- Signals will NEVER change position on historical bars
- What you see in backtesting is what you would have seen in real-time
The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting.
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IMPORTANT DISCLAIMERS
TERMINOLOGY CLARIFICATION:
This indicator uses terms that might imply access to data it does not have. To be completely transparent:
- "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels.
- "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data.
- "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success.
- The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal.
TRADING RISK WARNING:
Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable.
Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions.
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ORIGINALITY STATEMENT - NOT A MASHUP
Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis:
- The Fuel Gauge decay model with its four-component weighted calculation
- The Trap Zone cluster detection with confluence scoring
- The multi-factor quality scoring system that integrates all layers
- The trap-aware entry and target zone placement logic
- The volatility regime adaptation across all components
- The session weighting is integrated into the quality assessment
The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM.
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For best results, combine SPM with your own market understanding and always practice proper risk management.
-BullByte
PLOW/PLHW (Potential weekly highs/lows)AP Capital – PLOW / PLHW (Potential Weekly Low / High)
This indicator highlights Potential Weekly Lows (PLOW) and Potential Weekly Highs (PLHW) in real time, using current-week price action, session context, and confirmed candle closes.
It is designed for intraday and swing traders who want early-week and late-week structure levels without repainting or hindsight bias.
🔹 How It Works
Potential Weekly Low (PLOW)
Detected during early week sessions
Triggers when price prints the current week’s lowest low
Confirmed only on candle close
Typically aligns with liquidity grabs, stop runs, or accumulation
Potential Weekly High (PLHW)
Detected during late week sessions
Triggers when price prints the current week’s highest high
Confirmed only on candle close
Often marks distribution or exhaustion zones
📊 Visual Elements
Clean weekly high & low levels
Optional weekly midpoint
Session-aware confirmation
Non-repainting labels
Minimalist layout (no clutter)
⚙️ Key Features
Works on any intraday timeframe
Fully non-repainting
Session-based logic (early vs late week)
Optional weekly range info panel
Suitable for Gold, FX, Indices, Crypto
🧠 Best Use Cases
Fade moves into weekly extremes
Combine with:
Previous Day High / Low
Liquidity sweeps
Market structure shifts
Identify high-probability reversals
Avoid chasing price late in the week
⚠️ Important Notes
This is NOT predictive — levels are confirmed from live price action
Best used as context, not a standalone entry system
Designed to complement price action & liquidity-based trading
📌 Disclaimer
This indicator is for educational purposes only.
Not financial advice. Always manage risk.
Cumulative Volume Delta (CVD) Suite [QuantAlgo]🟢 Overview
The Cumulative Volume Delta (CVD) Suite is a comprehensive toolkit that tracks the net difference between buying and selling pressure over time, helping traders identify significant accumulation/distribution patterns, spot divergences with price action, and confirm trend strength. By visualizing the running balance of volume flow, this indicator reveals underlying market sentiment that often precedes significant price movements.
🟢 How It Works
The indicator begins by determining the optimal timeframe for delta calculation. When auto-select is enabled, it automatically chooses a lower timeframe based on your chart period, e.g., using 1-second bars for minute charts, 5-second bars for 5-minute charts, and progressively larger intervals for higher timeframes. This granular approach captures volume flow dynamics that might be missed at the chart level.
Once the timeframe is established, the indicator calculates volume delta for each bar using directional classification:
getDelta() =>
close > open ? volume : close < open ? -volume : 0
When a bar closes higher than it opens (bullish candle), the entire volume is counted as positive delta representing buying pressure. Conversely, when a bar closes lower than its open (bearish candle), volume becomes negative delta representing selling pressure. This classification is applied to every bar in the selected lower timeframe, then aggregated upward to construct the delta for each chart bar:
array deltaValues = request.security_lower_tf(syminfo.tickerid, lowerTimeframe, getDelta())
float barDelta = 0.0
if array.size(deltaValues) > 0
for i = 0 to array.size(deltaValues) - 1
barDelta := barDelta + array.get(deltaValues, i)
This aggregation process sums all the individual delta values from the lower timeframe bars that comprise each chart bar, capturing the complete volume flow activity within that period. The resulting bar delta then feeds into the various display calculations:
rawCVD = ta.cum(barDelta) // Cumulative sum from chart start
smoothCVD = ta.sma(rawCVD, smoothingLength) // Smoothed for noise reduction
rollingCVD = math.sum(barDelta, rollingLength) // Rolling window calculation
Note: This directional bar approach differs from exchange-level orderflow CVD, which uses tick data to separate aggressive buy orders (executed at the ask price) from aggressive sell orders (executed at the bid price). While this method provides a volume flow approximation rather than pure tape-reading precision, it offers a practical and accessible way to analyze buying and selling dynamics across all timeframes and instruments without requiring specialized data feeds on TradingView.
🟢 Key Features
The indicator offers five distinct visualization modes, each designed to reveal different aspects of volume flow dynamics and cater to various trading strategies and market conditions.
1. Oscillator (Raw): Displays the true cumulative volume delta from the beginning of chart history, accompanied by an EMA signal line that helps identify trend direction and momentum shifts. When CVD crosses above the signal line, it indicates strengthening buying pressure; crosses below suggest increasing selling pressure. This mode is particularly valuable for spotting long-term accumulation/distribution phases and identifying divergences where CVD makes new highs/lows while price fails to confirm, often signaling potential reversals.
2. Oscillator (Smooth): Applies a simple moving average to the raw CVD to filter out noise while preserving the underlying trend structure, creating smoother signal line crossovers. Use this when trading trending instruments where you need confirmation of genuine volume-backed moves versus temporary volatility spikes.
3. Oscillator (Rolling): Calculates cumulative delta over only the most recent N bars (configurable window length), effectively resetting the baseline and removing the influence of distant historical data. This approach focuses exclusively on current market dynamics, making it highly responsive to recent shifts in volume pressure and particularly useful in markets that have undergone regime changes or structural shifts. This mode can be beneficial for traders when they want to analyze "what's happening now" without legacy bias from months or years of prior data affecting the readings.
4. Histogram: Renders the per-bar volume delta as individual histogram bars rather than cumulative values, showing the immediate buying or selling pressure that occurred during each specific candle. Positive (green) bars indicate that bar closed higher than it opened with buying volume, while negative (red) bars show selling volume dominance. This mode excels at identifying sudden volume surges, exhaustion points where large delta bars fail to move price, and bar-by-bar absorption patterns where one side is aggressively consuming the other's volume.
5. Candles: Transforms CVD data into OHLC candlestick format, where each candle's open represents the CVD at the start of the bar and subsequent intra-bar delta changes create the high, low, and close values. This visualization reveals the internal volume flow dynamics within each time period, showing whether buying or selling pressure dominated throughout the bar's formation and exposing intra-bar reversals or sustained directional pressure. Use candle wicks and bodies to identify volume acceptance/rejection at specific CVD levels, similar to how price candles show acceptance/rejection at price levels.
▶ Built-in Alert System: Comprehensive alerts for all display modes including bullish/bearish momentum shifts (CVD crossing signal line), buying/selling pressure detection (histogram mode), and bullish/bearish CVD candle formations. Fully customizable with exchange and timeframe placeholders.
▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Ember, Neon) or create your own custom color schemes. Optional price bar coloring feature overlays CVD trend colors directly onto your main chart candles, providing instant visual confirmation of volume flow and making divergences immediately apparent. Optional info label with configurable position and size displays current CVD values, data source timeframe, and mode at a glance.
MidZone Breakout Pro 🚀 MidZone Breakout Pro — Smart Balance Zone Signals
🧭 Equilibrium-Based Market Insight
MidZone Breakout Pro identifies key balance levels in the market and highlights directional opportunities when price decisively moves away from equilibrium.
📐 Dynamic Midpoint Zone Mapping
Automatically plots a central price balance zone derived from recent market ranges, helping traders visualize fair value and expansion areas.
🎯 Clear Buy & Sell Signals
Generates clean bullish and bearish signals when price exits the balance zone with momentum.
🎨 High-Visibility Zone Visualization
Color-coded zones, background shading, and bold signal markers provide instant clarity without chart clutter.
🎚 Customizable Sensitivity
Adjustable lookback period and zone width allow seamless adaptation across scalping, intraday, and swing trading.
🕰 Non-Repainting Signals
All signals are calculated using confirmed price action and remain stable on historical charts.
⚡ Lightweight & Fast Performance
Optimized design ensures smooth performance across all instruments and timeframes.
🛠 How to Use (Safe Version)
📉 **Buy Signal**: Appears when price moves strongly above the balance zone
📈 **Sell Signal**: Appears when price moves strongly below the balance zone
🟨 **Neutral Zone**: Indicates consolidation or equilibrium conditions
Best used in combination with trend direction, support/resistance, or volume confirmation.
⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice. Always apply proper risk management.
HMA Trend Scalper V1[wjdtks255]
Overview
This indicator is a high-performance trend-following system optimized for crypto futures trading. It provides clear entry signals and dynamic, real-time risk management tools to help traders stay on the right side of the market.
Key Features
Dynamic Trend Tracking: Uses a specialized HMA (Hull Moving Average) to filter market noise and identify the core trend.
Real-time TP/SL Extension: Unlike static indicators, the Take Profit (TP) and Stop Loss (SL) lines extend candle-by-candle along with the price action.
Clean Chart UI: Lines only exist from the entry point to the current candle, preventing chart clutter.
Automatic Completion: Once the price hits a target, the line stops extending and marks the result (Target Hit or Stop Out).
Trading Strategy (How to Trade)
1. Long Entry (🚀 LONG)
Condition: The price must be above the trend line, and a breakout of the recent 5-candle high must occur with significant volume.
Action: Enter a Long position when the "🚀 LONG" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
2. Short Entry (💀 SHORT)
Condition: The price must be below the trend line, and a breakdown of the recent 5-candle low must occur with significant volume.
Action: Enter a Short position when the "💀 SHORT" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
3. Risk Management
Stop Loss: The indicator automatically calculates the optimal SL based on recent volatility (ATR) and swing points.
Take Profit: The TP is set at a calculated ratio to ensure a positive risk-to-reward setup.
Settings
Trend Sensitivity: Adjust the HMA length to match your preferred timeframe (Scalping vs. Swing).
Volume Multiplier: Filter out weak moves by increasing the volume breakout requirement.
Custom Styles: Fully customize line colors, widths, and styles (Solid, Dashed, Dotted) in the settings menu.
PREMIUM TRADE ZONES - [EntryLab]PREMIUM Trade Zones was created to help both beginner and advanced traders avoid one of the most common causes of losses: trading during sideways, choppy market conditions.
Sideways price action often occurs around the RSI 50 level, where market indecision is high. This indicator visually highlights a No Trade Zone around that area, encouraging traders to stay patient and avoid low-probability setups. Above and below this zone, clearly defined Short Trade Zones and Long Trade Zones provide additional confluence for potential entries when momentum is more favorable.
Trade Zones is especially useful for traders who may occasionally struggle with discipline — something we all experience — by offering a constant visual reminder of where trading conditions are optimal versus where caution is warranted.
The indicator is fully customizable through the settings panel, allowing users to adjust zone levels, colors, text visibility, and signal elements to suit their individual trading style and strategy. We personally use Trade Zones as an added layer of confluence when market conditions feel uncertain, consistently steering clear of the No Trade Zone where indecision and chop are most likely to occur.
This free indicator was built to support our community in developing better trading habits, improving decision-making, and progressing toward long-term consistency and profitability.
Regards,
ENTRYLAB
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
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Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
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Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
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2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
---
Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
---
Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
APC HIRO Proxy Flow PressureAP Capital – HIRO Proxy (Flow Pressure)
AP Capital – HIRO Proxy is a price- and volume-based flow pressure oscillator designed to approximate institutional hedging / directional pressure using only native chart data.
⚠️ This is a proxy model. It does not use options-market data or real SpotGamma HIRO feeds.
🔍 What this indicator does
The indicator measures directional efficiency × volume pressure on every bar, accumulates it intraday, and then normalizes the result using a Z-score so it adapts cleanly across symbols and timeframes.
The output is displayed as candle-style pressure bars, making momentum shifts and pressure flips visually obvious.
🧠 Core Logic
Directional Efficiency
Measures how effectively price closes within its candle range
Strong closes near highs/lows increase pressure
Volume Weighting
Pressure is weighted by volume (optionally logarithmic)
Prevents single spikes from distorting the signal
Cumulative Flow
Pressure accumulates bar-by-bar
Optional daily reset for intraday trading
Z-Score Normalization
Normalizes pressure relative to recent history
Allows consistent thresholds across assets
📊 How to read the indicator
Green candles above zero
→ Net bullish pressure (buyers in control)
Red candles below zero
→ Net bearish pressure (sellers in control)
Zero line
→ Neutral balance / transition zone
±1 / ±2 Z-Bands
→ Elevated or extreme pressure conditions
Triangle signals
▲ Up Pressure → Z-score crosses above positive threshold
▼ Down Pressure → Z-score crosses below negative threshold
⚙️ Inputs & Controls
Core
Smoothing length
Z-score lookback
Log-volume weighting
Daily reset toggle
Filters
ATR-based dead-market filter
ATR length
Display
Zero line on/off
Z-score bands on/off
Signal threshold control
📈 Best use cases
Intraday momentum confirmation
Detecting pressure shifts before breakouts
Trend continuation filtering
Compression → expansion environments
Pairing with structure, VWAP, EMAs, or session levels
🚫 What this indicator is NOT
Not real options flow
Not SpotGamma HIRO
Not predictive on its own
This tool is designed to support decision-making, not replace risk management.
⚠️ Disclaimer
This indicator is provided for educational purposes only.
No financial advice. Trading involves risk.
15-Minute Squeeze Scalper (Traffic Light Edition)Overview This is a highly optimized version of the famous Squeeze Momentum Indicator, customized specifically for 15-minute scalping .
While the original indicator is powerful, the default colors can be confusing for new traders. I have recoded this to function as a simple "Traffic Light" system to help you identify periods of inaction vs. periods of high-probability breakouts.
How it Works This tool identifies when the market is "quiet" (low volatility) and getting ready to explode. It uses Bollinger Bands and Keltner Channels to measure this energy.
The "Traffic Light" Visuals
🔴 RED Cross (Center Line): STOP / WAIT
Meaning: The Squeeze is ON. The market is coiling tight.
Action: Do not trade yet. Wait for the energy to release. The longer the line of red dots, the bigger the potential move.
🟢 GREEN Cross (Center Line): GO / ACTION
Meaning: The Squeeze has FIRED. Volatility is expanding.
Action: Look at the Histogram to determine the direction of the trade.
📊 Histogram Bars:
Lime/Green: Bullish Momentum (Trade Long).
Red/Maroon: Bearish Momentum (Trade Short).
The 15-Minute Scalping Strategy
Identify the Squeeze: Look for a series of Red Crosses on the zero line.
Wait for the Fire: Wait for the first Green Cross to appear.
Confirm Direction:
If the Cross turns Green AND the Histogram is above zero: LONG.
If the Cross turns Green AND the Histogram is below zero: SHORT.
Alerts Included I have added custom alerts so you don't have to stare at the screen:
"Squeeze Fired": Alerts you instantly when the Red Cross changes to Green.
"Momentum Long/Short": Alerts you when momentum flips direction.
Volume-Weighted Price Z-Score [QuantAlgo]🟢 Overview
The Volume-Weighted Price Z-Score indicator quantifies price deviations from volume-weighted equilibrium using statistical standardization. It combines volume-weighted moving average analysis with logarithmic deviation measurement and volatility normalization to identify when prices have moved to statistically extreme levels relative to their volume-weighted baseline, helping traders and investors spot potential mean reversion opportunities across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volume-weighted statistical approach, where price displacement is measured through normalized deviations from volume-weighted price levels:
volumeWeightedAverage = ta.vwma(priceSource, lookbackPeriod)
logDeviation = math.log(priceSource / volumeWeightedAverage)
volatilityMeasure = ta.stdev(logDeviation, lookbackPeriod)
The script uses logarithmic transformation to capture proportional price changes rather than absolute differences, ensuring equal treatment of percentage moves regardless of price level:
rawZScore = logDeviation / volatilityMeasure
zScore = ta.ema(rawZScore, smoothingPeriod)
First, it establishes the volume-weighted baseline which gives greater weight to price levels where significant trading occurred, creating a more representative equilibrium point than simple moving averages.
Then, the logarithmic deviation measurement converts the price-to-average ratio into a normalized scale:
logDeviation = math.log(priceSource / volumeWeightedAverage)
Next, statistical normalization is achieved by dividing the deviation by its own historical volatility, creating a standardized z-score that measures how many standard deviations the current price sits from the volume-weighted mean.
Finally, EMA smoothing filters noise while preserving the signal's responsiveness to genuine market extremes:
rawZScore = logDeviation / volatilityMeasure
zScore = ta.ema(rawZScore, smoothingPeriod)
This creates a volume-anchored statistical oscillator that combines price-volume relationship analysis with volatility-adjusted normalization, providing traders with probabilistic insights into market extremes and mean reversion potential based on standard deviation thresholds.
🟢 Signal Interpretation
▶ Positive Values (Above Zero): Price trading above volume-weighted average indicating potential overvaluation relative to volume-weighted equilibrium = Caution on longs, potential mean reversion downward = Short/sell opportunities
▶ Negative Values (Below Zero): Price trading below volume-weighted average indicating potential undervaluation relative to volume-weighted equilibrium = Caution on shorts, potential mean reversion upward = Long/buy opportunities
▶ Zero Line Crosses: Mean reversion transitions where price crosses back through volume-weighted equilibrium, indicating shift from overvalued to undervalued (or vice versa) territory
▶ Extreme Positive Zone (Above +2.5σ default): Statistically rare overvaluation representing 98.8%+ confidence level deviation, indicating extremely stretched bullish conditions with high mean reversion probability = Strong correction warning/short signal
▶ Extreme Negative Zone (Below -2.5σ default): Statistically rare undervaluation representing 98.8%+ confidence level deviation, indicating extremely stretched bearish conditions with high mean reversion probability = Strong buying opportunity signal
▶ ±1σ Reference Levels: Moderate deviation zones (±1 standard deviation) marking common price fluctuation boundaries where approximately 68% of price action occurs under normal distribution
▶ ±2σ Reference Levels: Significant deviation zones (±2 standard deviations) marking unusual price extremes where approximately 95% of price action should be contained under normal conditions
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets accommodate different analytical approaches, instruments and timeframes. "Default" provides balanced statistical measurement suitable for swing trading and daily/4-hour analysis, offering deviation detection with moderate responsiveness to price dislocations. "Fast Response" delivers heightened sensitivity optimized for intraday trading and scalping on 15-minute to 1-hour charts, using shorter statistical windows and minimal smoothing to capture rapid mean reversion opportunities as they develop. "Smooth Trend" offers conservative extreme identification ideal for position trading on daily to weekly charts, employing extended statistical periods and heavy noise filtering to isolate only the most significant market extremes.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of statistical extremes and mean reversion events. Extreme Overbought triggers when z-score crosses above the extreme threshold (default +2.5σ) signaling rare overvaluation, Extreme Oversold activates when z-score crosses below the negative extreme threshold (default -2.5σ) signaling rare undervaluation. Exit Extreme Overbought and Exit Extreme Oversold alert when prices begin reverting from these statistical extremes back toward the mean. Bullish Mean Reversion notifies when z-score crosses above zero indicating shift to overvalued territory, while Bearish Mean Reversion triggers on crosses below zero indicating shift to undervalued territory. Any Extreme Level provides a combined alert for any extreme threshold breach regardless of direction. These notifications allow you to capitalize on statistically significant price dislocations without continuous chart monitoring.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying positive versus negative deviations across trading environments. The adjustable fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the z-score line and zero baseline, with higher opacity values creating subtle background context while lower values produce bold deviation emphasis. Optional bar coloring extends the z-score gradient directly to the indicator pane bars, providing immediate visual reinforcement of current deviation magnitude and direction without requiring reference to the plotted line itself.
*Note: This indicator requires volume data to function correctly, as it calculates deviations from a volume-weighted price average. Tickers with no volume data or extremely limited volume will not produce meaningful results, i.e., the indicator may display flat lines, erratic values, or fail to calculate properly. Using this indicator on assets without volume data (certain forex pairs, synthetic indices, or instruments with unreported/unavailable volume) will produce unreliable or no results at all. Additionally, ensure your chart has sufficient historical data to cover the selected lookback period, e.g., using a 100-bar lookback on a chart with only 50 bars of history will yield incomplete or inaccurate calculations. Always verify your chosen ticker has consistent, accurate volume information and adequate price history before applying this indicator.
Institutional Zone Detector [Scalping-Algo]█ OVERVIEW
The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits.
This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time.
█ CORE CONCEPT
Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns:
Demand Zones (Bullish)
When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers.
Supply Zones (Bearish)
When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers.
Price has a tendency to revisit these zones, offering potential trade opportunities.
█ HOW IT WORKS
The indicator scans for:
1. A potential zone candle (bearish for demand, bullish for supply)
2. A sequence of consecutive candles in the opposite direction
3. Optional: A minimum percentage move to filter weak signals
When all conditions are met, the zone is marked on your chart with:
• Upper and lower boundaries (solid lines)
• Equilibrium/midpoint level (cross marker)
• Extended channel lines for easy visualization
█ SETTINGS
Consecutive Candles Required (Default: 5)
Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals.
Minimum Move Threshold % (Default: 0.0)
Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity.
Display Full Candle Range (Default: Off)
• Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones
• On: Shows complete High-to-Low range of the zone candle
Show Demand/Supply Zone Channel (Default: On)
Toggle extended horizontal lines that project the zone levels across your chart.
Visual Theme (Default: Dark)
Choose between Dark (white/blue) or Light (green/red) color schemes.
Show Statistics Panel (Default: Off)
Displays a floating panel with exact price levels of the most recent zones.
Display Info Tooltip (Default: Off)
Shows an information label with indicator documentation.
█ HOW TO USE
Entry Strategies
1. Zone Bounce (Mean Reversion)
• Wait for price to return to a previously identified zone
• Look for rejection candles (pin bars, engulfing patterns) at zone levels
• Enter in the direction of the original zone (long at demand, short at supply)
• Place stops beyond the zone boundary
2. Zone Break (Momentum)
• When price breaks through a zone with strong momentum
• The broken zone often becomes the opposite type (broken demand becomes supply)
• Use for trend continuation trades
3. Equilibrium Trades
• The midpoint (cross marker) often acts as a magnet for price
• Can be used as a first target or as an entry point for scaled positions
Risk Management
• Always place stop-loss orders beyond zone boundaries
• Consider the zone width when calculating position size
• Wider zones = wider stops = smaller position size
• Use the equilibrium level for partial profit taking
Best Practices
• Higher timeframes produce more reliable zones
• Zones on multiple timeframes (confluence) are stronger
• Fresh/untested zones are more powerful than zones that have been touched multiple times
• Combine with other analysis methods (trend direction, volume, market structure)
█ ALERTS
Two alert conditions are available:
• "Demand Zone Identified" - Triggers when a new demand zone is detected
• "Supply Zone Identified" - Triggers when a new supply zone is detected
To set up alerts: Click on the indicator name → Add Alert → Select condition
█ IMPORTANT NOTES
• This indicator is a tool for analysis, not a complete trading system
• Signals are NOT automatic buy/sell recommendations
• Always use proper risk management
• Past performance does not guarantee future results
• Works on all markets and timeframes
• Non-repainting: Signals appear only after bar close confirmation
█ ACKNOWLEDGMENTS
Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application.
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes.
This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility.
🛠 Methodology & Logic
The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital.
1. Market Structure Filter (200 EMA)
Indicator: Exponential Moving Average (Length 200).
Logic: The 200 EMA acts as the baseline for the long-term trend regime.
Bullish Regime: Price must close above the 200 EMA.
Bearish Regime: Price must close below the 200 EMA.
Purpose: Prevents counter-trend trading against the macro direction.
2. Signal Trigger & Trailing Stop (Supertrend)
Indicator: Supertrend (ATR Length 14, Factor 3.5).
Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility.
Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates.
3. Volatility Gatekeeper (ADX Filter)
Indicator: Average Directional Index (Length 14).
Threshold: > 25.
Logic: A high ADX value indicates a strong trend presence, regardless of direction.
Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail.
4. Momentum Confirmation (DMI)
Indicator: Directional Movement Index (DI+ and DI-).
Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa.
Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike.
📋 How to Use This Strategy
🟢 LONG (BUY) Setup
A Buy signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes ABOVE the 200 EMA (Orange Line).
Trigger: Supertrend flips to GREEN (Bullish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus).
🔴 SHORT (SELL) Setup
A Sell signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes BELOW the 200 EMA (Orange Line).
Trigger: Supertrend flips to RED (Bearish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus).
🛡 Exit Strategy
Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop.
Exit Long: When Supertrend turns Red.
Exit Short: When Supertrend turns Green.
Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio.
📊 Included Features
Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position.
Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization).
Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status.
⚠️ Risk Warning & Best Practices
Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs.
Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise.
News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
