Asia & London Session High / Low (CT) BY Grid & Grit ChartingThis indicator draws Asia and London session highs/lows in Central Time (CT) and optionally shades each session with a box, so you can see where overnight liquidity was built and then carried forward into NY. In the settings, you can toggle Show Asia Session and Show London Session to enable/disable each session’s tracking and plotting entirely. For each session you can customize the High/Low line colors (Asia High Color / Asia Low Color, London High Color / London Low Color), the line width (Asia Line Width, London Line Width), and the line style (Solid/Dashed/Dotted) so you can visually prioritize London over Asia if you want. The session times are adjustable via Asia Session (CT) (default 6:00 PM–2:00 AM CT) and London Session (CT) (default 2:00 AM–8:00 AM CT). The Show Session Boxes toggle controls whether a translucent box is drawn only during each active session; box appearance is controlled by Asia Box Color and London Box Color (these colors already include opacity, so you can make them faint or more visible). The Show Labels toggle controls whether “Asia H/L” and “London H/L” labels are printed at session end; label text color is controlled by Label Text Color. Mechanically: during each session the script continuously updates that session’s running high/low; when the session ends, it draws fresh horizontal lines that extend to the right (carry forward) and it deletes the prior session’s lines/labels to prevent clutter, while boxes stop at the session end so NY stays clean.
Volatilité
VWATR Stop-Loss BandsPurpose
The script provides an adaptive stop‑loss framework built from VWATR, it anchors protective levels to price extremes and scales them with both volatility and volume. The objective is to create stop‑loss zones that reflect real market intensity rather than arbitrary fixed distances.
How it works
The script computes true range, multiplies it by volume, and smooths both the volume‑weighted range and raw volume using the selected moving average, their ratio forms VWATR, a volatility measure normalized by traded volume. It then calculates the standard deviation of VWATR to capture volatility‑of‑volatility. Stop‑loss levels are constructed by offsetting the low and high by one VWATR, with additional layers created by adding or subtracting one to five standard deviations. The plots use strong colors for core levels and progressively lighter tones for outer layers, establishing a clear visual hierarchy.
Rationale
This structure gives the trader stop‑loss levels that adapt to changing market conditions, expanding during high‑energy phases and contracting during quiet periods, which reduces premature stop‑outs and aligns risk with actual volatility. The standard deviation layers provide a graded map of volatility stress, allowing the user to assess how far price must travel to breach increasingly extreme thresholds. The result is a stop‑loss system that is both reactive and context‑aware, offering more informed decision‑making than static offsets.
VAM Pro (Multi-Model) [Final]Volatility Adjusted Momentum (VAM) Pro+ is a professional quantitative tool designed to measure trend strength by normalizing momentum against market volatility. Standard momentum indicators often fail during high-volatility periods because they treat every price change the same regardless of market noise. This indicator solves that problem by scaling price changes based on their statistical significance using Z-Score logic. This Pro+ version is specifically optimized for Scalping and Intraday Trading by introducing advanced volatility estimators and mathematical horizon adjustments that superior to classic standard deviation models.
The indicator allows you to choose the most suitable volatility model for your specific asset class. The Parkinson Volatility model is highly recommended for Crypto markets because it uses the High-Low range instead of just close prices, effectively capturing intraday wicks and liquidation spikes that standard deviation often misses. For Equities and Forex, the Garman-Klass model is the most efficient choice as it utilizes the full Open-High-Low-Close data set to account for opening gaps and professional trading ranges.
The mathematical core of the script features a strict Horizon Adjustment based on the Square Root of Time rule. This aligns the one-bar volatility risk with your chosen momentum lookback period to ensure a mathematically consistent calculation. By default, the script uses Logarithmic Returns to maintain scale invariance, which is critical for assets with high percentage swings like Cryptocurrencies. To trade with VAM Pro, look for the histogram color and its relation to the Zero line. A Green histogram indicates positive volatility-adjusted momentum where bulls are dominant, while a Red histogram shows bearish dominance. Values reaching the +2.0 or -2.0 Sigma levels represent statistically extreme moves that often act as exhaustion points or precede strong mean-reversion opportunities. When the histogram crosses the yellow signal line, it provides an early warning that the current momentum is fading.
Investment involves risk. The Volatility Adjusted Momentum (VAM) Pro+ is an analytical tool and does not constitute financial advice, investment recommendations, or an offer to buy or sell any security. Past performance is not indicative of future results. Market conditions can change rapidly, and technical indicators may produce false signals. Always perform your own due diligence, use proper risk management, and consult with a certified financial advisor before making any trading decisions. The author assumes no responsibility for any financial losses incurred through the use of this script.
Options Liquidity Meter (OLM)❓ The question behind this indicator
When trading options, it is common to experience situations where price moves in the expected direction, yet the option contract does not increase in value as anticipated.
This typically happens when one or more of the following conditions is missing:
Insufficient liquidity participation
Lack of volatility expansion
Weak or passive order flow
Options Liquidity Meter (OLM) was created to address this specific question:
“If price moves from here, are there conditions for option premiums to actually expand?”
🎯 What this indicator does
Options Liquidity Meter is a context tool, not a trading system.
It evaluates whether the current market environment is favorable for option premium expansion , based on three core engines:
Liquidity (Relative Volume)
Measures whether price movement is supported by meaningful participation.
Volatility State
Identifies compression, release, and expansion phases, where options tend to respond differently.
Order Flow Activity (OBV-based)
Acts as a proxy for active vs. passive participation, helping filter hollow moves.
These components are combined into a single, easy-to-read options context.
🟢🟡🔴 Options Context Output
The indicator displays one consolidated state:
RED — NO EXPANSION
Price may move, but option premiums often do not respond.
YELLOW — BUILDING
Liquidity or volatility is developing. Conditions are improving but not fully aligned.
GREEN — EXPANSION LIKELY
Liquidity, volatility expansion, and active flow are aligned.
This is a favorable environment for option premium expansion.
The same logic is reflected visually through the background color and summarized in the dashboard.
📊 How to read the dashboard
The dashboard shows:
Liquidity: LOW / OK / HIGH
Volatility: COMPRESSED / RELEASED / EXPANDING
Order Flow: FLAT / ACTIVE
Options Context: NO EXPANSION / BUILDING / EXPANSION LIKELY
Below, a Background Color Meaning section explains what each color represents, making the indicator intuitive and educational.
📍 Where to apply this indicator
Options Liquidity Meter must be applied to the underlying asset chart, such as:
Indices (SPY, SPX, QQQ, etc.)
Stocks
Futures
ETFs
It is not designed to be applied to option contracts themselves.
The indicator evaluates the market conditions of the underlying, which are the drivers that influence option premium behavior.
Contract selection (strike, delta, gamma, expiration) remains the trader’s responsibility.
🧠 How to use it
Use your own methodology to define:
Direction
Structure
Entries and exits
Use Options Liquidity Meter to evaluate:
Whether the current environment supports option premium expansion
If the context is RED, be cautious — price may move without rewarding options.
If the context is GREEN, the environment is statistically more favorable for options responsiveness.
🔗 Complementary tools
Options Liquidity Meter is designed to complement, not replace, other tools.
It works well alongside:
Opening Path Selector (EMA200 Context Tool)
For deciding which asset offers the cleanest directional context.
Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels
For in-chart structure, bias, and reference levels.
Each tool addresses a different stage of the decision process and can be used independently.
⚠️ Important notes
This indicator provides context only
It does not generate trading signals
No indicator guarantees results
Use at your own risk.
Crandall SwingThe Crandall Swing indicator is designed for swing-trading using a Parabolic Stop and Reverse (PSAR) trading technique. It also provides additional insight below the price to provide more context behind potential short-term trend movements.
How to Use
• Buy Signal: Likely appears when the price of the first green candle opens above the PSAR (blue).
• Sell Signal: Likely appears when the price of the first candle opens below the PSAR.
• Bars Below: Represent the difference between price and PSAR values (price-PSAR). Thus, positive upward pointing bars generally represent uptrends, and negative downward pointing bars represent downtrends.
• Yellow Line: Rate of change of the difference. (velocity)
• Green Line: The acceleration of the difference. (acceleration)
• For all upward pointing bars the following apply in theory, not guaranteed reality :
• Positive velocity + positive acceleration = buy signal
• Positive velocity + negative acceleration = trend price peak
• Negative velocity + positive acceleration = fierce downward trend
• Negative velocity + negative acceleration = price floor.
• FYI: Trading below the SMA200 (purple line) may be more risky, as prices below the SMA200 generally hint at a bear market.
Note: This indicator neither gives financial advice nor does it guarantee investment success. Invest at your own discretion.
SNIPER Trend Continuation V1TC SNIPER (Trend Continuation)
### When to Use
- Market is **OUT OF BALANCE** (trending, momentum)
- Clear **displacement** away from prior value
- **New York session** (AVOID London open fakeouts!)
- Strong directional moves with follow-through
### The Setup Sequence
```
1. IMPULSE DETECTED
└── Strong directional move (2× ATR+)
└── Multiple momentum bars
└── Price above/below fast EMA
2. LVN ZONE IDENTIFIED
└── 23.6% - 61.8% Fibonacci retracement
└── Low volume pullback area
3. PRICE PULLS BACK TO LVN
└── Retraces into the zone
└── Volume decreases (exhaustion)
4. AGGRESSION CONFIRMATION
└── Entry candle in trend direction
└── Volume spikes (1.3×+ average)
└── Fat body, minimal adverse wick
└── EMA alignment confirms trend
5. ENTRY → TARGET: PREV POC
```
SNIPER Mean Reversion V1MR SNIPER (Mean Reversion)
### When to Use
- Market is **IN BALANCE** (ranging, consolidating)
- Price **breaks out but FAILS** to hold
- **London session** or compressed summer conditions
- Failed breakouts returning to value
### The Setup Sequence
```
1. BALANCE DETECTED
└── Price rotating around POC
2. BREAKOUT ATTEMPT
└── Price pushes beyond Value Area
3. FAILURE + RECLAIM ← KEY MOMENT
└── Price comes BACK inside balance
└── DO NOT trade first move back!
4. PULLBACK INTO LVN
└── Wait for pullback after reclaim
5. AGGRESSION CONFIRMATION
└── Entry candle shows buy/sell pressure
└── Volume elevated (1.2×+ average)
└── Fat body (60%+ of range)
6. ENTRY → TARGET: POC
```
### Signal Labels
- **MR↑** = Mean Reversion Long (failed breakdown)
- **MR↓** = Mean Reversion Short (failed breakout)
- **S/A/B** = Signal quality tier
### Risk Management
- **Stop**: Below recent low (long) / Above recent high (short)
- **Target**: POC (center of value)
- **Risk**: 0.25-0.5% per trade
Volatility Squeeze + EMA Trend Filter [Day Trading]Identify explosive breakouts before they happen. This indicator detects low-volatility consolidations (squeezes) that precede powerful price moves, filtered by trend direction for higher-probability signals.
█ FEATURES
- Squeeze detection using Bollinger Bands inside Keltner Channels
- Momentum histogram visualization in dashboard
- 200 EMA trend filter (toggleable) - longs above, shorts below
- Trading hours filter with timezone support
- Buy/sell signals on chart with customizable size
- 5 visual themes (Nebula Core, Aurora Borealis, Ice Giant, Solar Flare, Supernova)
- Real-time dashboard with squeeze state, momentum, and signal bias
█ HOW IT WORKS
1. Bollinger Bands compress inside Keltner Channels = "Squeeze" (consolidation)
2. Squeeze releases = imminent breakout
3. Momentum direction determines trade direction
4. 200 EMA filter ensures you trade with the trend
5. Session filter keeps you in optimal trading hours
█ SIGNAL LOGIC
BUY: Momentum crosses above zero OR squeeze releases with rising positive momentum + price above 200 EMA
SELL: Momentum crosses below zero OR squeeze releases with falling negative momentum + price below 200 EMA
█ RECOMMENDED USE
- Best timeframes: 5-minute, 15-minute for day trading
- Best instruments: NQ, MNQ, ES, MES, SPY, QQQ
- Best session: 9:30 AM - 11:00 AM ET (morning momentum)
- Works on any market with sufficient volatility
█ INPUTS
- BB/KC Length and Multipliers (default: 20/2.0 and 20/1.5)
- 200 EMA trend filter toggle
- Trading session hours and timezone
- Signal size and visual theme selection
Based on John Carter's TTM Squeeze concept.
DM for access.
Positive Volatility Ratio (Vol+ / Vol-)
Positive Volatility Ratio (Vol+ / Vol-)
This indicator measures whether an asset’s volatility is driven mainly
by upward or downward price movements over a given time window.
How it works:
- Daily returns are calculated.
- Positive and negative returns are separated.
- The standard deviation of each group is computed.
- The Vol+ / Vol- ratio compares how much volatility comes from
upward moves versus downward moves.
Interpretation:
- Ratio > 1 → volatility dominated by upside moves (cleaner momentum).
- Ratio ≈ 1 → symmetric movement / noise.
- Ratio < 1 → volatility dominated by downside moves (not ideal for momentum).
Recommended use:
- Use as a pre-filter for the trading universe.
- Do not use as an entry or exit signal.
- Always combine with trend and liquidity filters.
Notes:
- This is not a standard or predictive indicator.
- It does not replace risk management or stop-loss rules.
- Longer lookback windows (60–120 days) tend to be more robust.
*/
Cerber Market Regime Indicator📊 CERBER MARKET REGIME INDICATOR
A versatile momentum indicator that helps identify market regimes using Rate of Change (ROC) analysis. Designed for visualizing momentum extremes and mean-reversion zones.
═══════════════════════════════════════
🔧 TWO MODES:
▸ Fixed Mode (Default)
Uses percentage-based ROC thresholds. Simple and intuitive - when momentum exceeds +10% or drops below -10%, the indicator signals extreme conditions.
▸ Z-Score Mode
Normalizes ROC using statistical z-score, automatically adapting to each asset's volatility. A reading of +1σ or -1σ represents one standard deviation from the mean, making thresholds consistent across different assets.
═══════════════════════════════════════
⚙️ KEY SETTINGS:
• ROC Lookback: Period for calculating rate of change (default: 30 bars)
• Z-Score Window: Rolling window for mean/std calculation (default: 60 bars)
• Top/Bottom Thresholds: Configurable levels for regime identification
═══════════════════════════════════════
📈 VISUAL ELEMENTS:
• Green line: Momentum above top threshold (bullish extreme)
• Red line: Momentum below bottom threshold (bearish extreme)
• Gray line: Neutral zone between thresholds
• Dashed lines: Threshold levels
• Shaded zone: Neutral trading range
• Info table: Current mode, settings, and live values
═══════════════════════════════════════
💡 USE CASES:
• Identify overbought/oversold conditions
• Spot mean-reversion opportunities
• Gauge momentum regime for trend strategies
• Compare momentum across different assets (Z-Score mode)
• Visualize market extremes for discretionary analysis
═══════════════════════════════════════
⚠️ DISCLAIMER:
This indicator is for visualization and educational purposes only. It does not generate trading signals and should not be used as the sole basis for trading decisions. Always conduct your own research and use proper risk management.
HLRSI═══════════════════════════════════════════
HLRSI - High-Low RSI
═══════════════════════════════════════════
## Overview
HLRSI (High-Low RSI) is a dynamic RSI indicator that automatically switches between High RSI and Low RSI based on market conditions. This allows traders to focus on the most relevant momentum — bullish momentum in uptrends and bearish momentum in downtrends.
## How It Works
- When HL2 RSI is above its Bollinger Band middle line → displays High RSI (based on candle highs)
- When HL2 RSI is below its Bollinger Band middle line → displays Low RSI (based on candle lows)
This adaptive approach provides clearer signals compared to traditional RSI, which uses only closing prices.
## Components
1. **RSI Line (Purple)**: The adaptive High-Low RSI
2. **RSI HMA (Yellow)**: Hull Moving Average of RSI - acts as a trend filter, similar to MACD signal line
3. **Bollinger Bands (Green)**: Dynamic overbought/oversold boundaries that adapt to volatility
## How to Use
### Trend Identification
- RSI above HMA → Bullish momentum
- RSI below HMA → Bearish momentum
- RSI crossing HMA → Potential trend change
### Entry Signals
- **Long**: RSI crosses above HMA near oversold zone or lower Bollinger Band
- **Short**: RSI crosses below HMA near overbought zone or upper Bollinger Band
### Overbought/Oversold
- RSI touching upper Bollinger Band → Overbought (potential reversal or pullback)
- RSI touching lower Bollinger Band → Oversold (potential reversal or bounce)
## Parameters
- **RSI Length** (default: 50): Period for RSI calculation
- **HMA Length** (default: 200): Period for trend-filtering HMA
- **BB Length** (default: 200): Period for Bollinger Bands
- **BB Multiplier** (default: 2.8): Standard deviation multiplier
## Tips
- Combine with price action or other indicators for confirmation
- Adjust BB Multiplier to control sensitivity (lower = more signals, higher = fewer but stronger signals)
SCR Signals(개요) 스토캐스틱, CCI, RSI를 결합한 지표입니다. 편의상 SCR이라고 명명할게요
* 블로거 'SOXL연구원님의 SCR을 지표화했습니다.
(지표설명)
1. 스토캐스틱은 %K길이, %K스무딩, %D스무딩이 각각 5,1,3 이 기본입니다. 어퍼밴드(과매수)는 80, 로우어밴드(과매도)는 20이며 설정해서 수정 가능합니다.
2. CCI는 길이 20이 기본입니다. 어퍼밴드(과매수)는 100, 로우어밴드(과매도)는 -100이며 역시 설정에서 변경가능합니다.
3. RSI 길이 14가 기본입니다. 어퍼밴드(과매수)는 70, 로우어밴드(과매도)는 30이며 역시 설정에서 변경가능합니다.
(시그널)
세개 지표 중 1개지표가 동시에 과매수 해소되는 순간 S1, 2개지표가 동시에 과매수 해소되는 순간 S2, 3개지표 동시에 과매수 해소시 S3로 하고 캔들 위쪽에 표시 / 세개 지표 중 1개지표가 과매도 진입시 B1, 2개지표가 동시에 과매도 진입시 B2, 3개지표가 동시에 과매도 진입시 B3로 하고 캔들 아래쪽에 표시
Overview
SCR is a combined signal system built from Stochastic, CCI, and RSI.
For convenience, I call this indicator SCR.
This script is an implementation/visualization of the SCR concept shared by the blogger “SOXL Researcher” (SOXL연구원).
Indicator Settings
Stochastic
Default parameters: %K Length = 5, %K Smoothing = 1, %D Smoothing = 3
Default bands: Overbought (Upper) = 80, Oversold (Lower) = 20
All values can be changed in the settings.
CCI
Default length: 20
Default bands: Overbought (Upper) = 100, Oversold (Lower) = -100
All values can be changed in the settings.
RSI
Default length: 14
Default bands: Overbought (Upper) = 70, Oversold (Lower) = 30
All values can be changed in the settings.
Signals (Plotted on the Main Price Chart)
Signals are generated when the indicators trigger their conditions on the same bar (simultaneously).
Overbought Resolution Signals (S) — plotted above candles
S1: Exactly 1 of the three indicators resolves overbT (overbought resolution) on the same bar
S2: Exactly 2 indicators resolve overbought on the same bar
S3: All 3 indicators resolve overbought on the same bar
Oversold Entry Signals (B) — plotted below candles
B1: Exactly 1 of the three indicators enters oversold on the same bar
B2: Exactly 2 indicators enter oversold on the same bar
B3: All 3 indicators enter oversold on the same bar
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.
Ghost Scalp Protocol By [@Ash_TheTrader]👻 GHOST SCALP PROTOCOL
💀 Stop Getting Trapped. Start Tracking the Banks.
Most retail traders lose because they enter exactly where institutions are exiting. They get caught in "Stop Hunts" and "Fake-Outs."
The Ghost Scalp Protocol is not just an indicator; it is a complete institutional trading system designed for M1 & M5 Scalpers . It combines Smart Money Concepts (SMC) with a Physics-Based Momentum Engine (p=mv) to detect high-probability reversals.
⚛️ THE LOGIC: 3-STAGE CONFIRMATION
This algorithm does not rely on lagging indicators. It uses a 3-step "Protocol" to validate every trade:
1. THE GHOST TRAP (Liquidity Sweeps)
The script automatically draws "Ghost Lines" at key Swing Highs/Lows where retail Stop Losses are hiding. It waits for price to sweep these levels.
The Signal: A Neon Skull (☠️) appears only if price aggressively rejects the level with high volume. This is the "Turtle Soup" pattern.
2. THE PHYSICS ENGINE (p = mv)
Momentum is not just price speed; it is Mass (Volume) x Velocity (Range) . The dashboard calculates the "Force" of every candle.
The Signal: An Arrow (⬆/⬇) appears when momentum surges 5x above the average. This confirms the banks are pushing the move.
3. BANK BIAS (Elasticity Filter)
Markets move like a rubber band. The script calculates a hidden "Fair Value" baseline to create a trading Bias. It only looks for Shorts in PREMIUM (Shorting) zones and Longs in DISCOUNT (Accumulating) zones.
📊 THE SMART DASHBOARD (HUD)
A futuristic, non-intrusive Heads-Up Display keeps you focused on the data that matters:
• 🏦 BANK BIAS: Tells you if Institutions are likely Accumulating or Shorting .
• 📈 HTF TREND: Automatically checks the 1-Hour Trend . Don't fight the tide.
• 🚀 MOMENTUM: Real-time Physics calculation. Green Text = Acceleration, Red Text = Deceleration.
• 🌍 SESSION: Shows active Bank Sessions (Tokyo, London, NY). It flashes ⚠️ OVERLAP ALERT (Gold) when London & New York are open simultaneously.
🔥 STRATEGY: HOW TO TRADE
Use this checklist to execute high-probability scalps:
📉 SHORT SETUP (SELL)
1. Liquidity: Wait for price to break above a Red Ghost Line (Sweep Highs).
2. Signal: Wait for the Pink Skull ☠️ (Trap Detected).
3. Confluence: Dashboard Bias says "SHORTING" and HTF Trend is "BEARISH."
4. Entry: On the Close of the Skull candle.
5. Stop Loss: Just above the wick swing high.
📈 LONG SETUP (BUY)
1. Liquidity: Wait for price to break below a Blue Ghost Line (Sweep Lows).
2. Signal: Wait for the Blue Skull ☠️ (Trap Detected).
3. Confluence: Dashboard Bias says "ACCUMULATING" and HTF Trend is "BULLISH."
4. Entry: On the Close of the Skull candle.
5. Stop Loss: Just below the wick swing low.
🏆 RECOMMENDED PAIRS & TIMEFRAMES
• ⚡ Best Timeframes: M1 (Sniper) and M5 (Standard Scalping).
• 💎 Best Assets: Gold (XAUUSD), Nasdaq (US100), Bitcoin (BTCUSD), and Volatile Forex Pairs (GBPUSD).
🛠️ SETTINGS & CUSTOMIZATION
• Surge Factor: Default is 5.0x for high-conviction signals. Lower to 3.0 for more frequency.
• Smart Sessions: Automatically converts to New York Time (EST) regardless of your location.
• Visuals: Designed with "Ghost Glow" technology—97% transparent backgrounds that look classy and don't clutter your chart.
"The Ghost Algo sees what you can't."
~ Ash_TheTrader
Cerber - Alts (Z-Score)🐺 CERBER ALTS (Z-SCORE)
Momentum-based strategy using Z-Score normalized Rate of Change for big-cap altcoins.
━━━━━━━━━━━━━━━━━━━━━━━
🎯 CONCEPT
━━━━━━━━━━━━━━━━━━━━━━━
This strategy identifies momentum opportunities by normalizing the Rate of Change (ROC) into a Z-Score. Unlike fixed percentage thresholds, Z-Score adapts to each asset's unique volatility regime, making it ideal for altcoins with varying price dynamics.
Entries occur when momentum surges beyond 1.5 standard deviations from the mean — capturing explosive moves while filtering out noise.
━━━━━━━━━━━━━━━━━━━━━━━
⚙️ SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━
• ROC Lookback: 30 days (momentum measurement window)
• Z-Score Window: 60 days (volatility normalization period)
• Entry Threshold: 1.5σ (enter on strong momentum)
• Exit Threshold: 0.0σ (exit when momentum normalizes)
• DEMA Filter: Weekly 21 DEMA trend filter (optional)
━━━━━━━━━━━━━━━━━━━━━━━
📊 MODES
━━━━━━━━━━━━━━━━━━━━━━━
1️⃣ Z-Score Mode (Default)
Adaptive thresholds based on volatility — recommended for altcoins
2️⃣ Fixed Mode
Traditional percentage-based ROC thresholds
━━━━━━━━━━━━━━━━━━━━━━━
🎨 DISPLAY FEATURES
━━━━━━━━━━━━━━━━━━━━━━━
• Z-Score / ROC oscillator with dynamic coloring
• Entry & exit threshold lines with neutral zone fill
• Position background highlighting
• Info table with current settings
━━━━━━━━━━━━━━━━━━━━━━━
✅ BEST SUITED FOR
━━━━━━━━━━━━━━━━━━━━━━━
• Big-cap altcoins: SOL, ETH, AVAX, MATIC, FTM, LINK, HBAR, UNI etc.
• Daily timeframe
• Trending market conditions
• Spot or low-leverage positions
⚠️ Risk Disclaimer: This strategy is for educational purposes. Always use proper risk management and backtest on your specific asset before trading.
Pro Traders Group🔥 Free Trading Indicator & Strategy on TradingView
By www.pro-traders-group.com
If you’re looking for a clear, professional, and rule-based trading strategy built on the logic of institutions and market makers, this is exactly what you need 👇
🔍 This strategy is based on:
✔️ Professional Japanese candlestick analysis
✔️ Accurate market trend identification
✔️ Buying and selling from institutional & smart money zones
✔️ Filtering weak signals and focusing only on high-probability setups
✔️ Clear and precise entry & exit rules
📊 Win Rate:
➡️ Up to 95% when fully following the rules and conditions
(No impulsive entries – No counter-trend trades – No overtrading)
🎯 Suitable for:
✅ Beginners looking for a simple and structured trading system
✅ Advanced traders using Smart Money Concepts
✅ Forex – Gold – Indices – Crypto
💡 Indicator & strategy are 100% FREE
But real success comes from:
✔️ Discipline
✔️ Proper risk management
✔️ Psychological control
📌 Presented by:
🌐 www.pro-traders-group.com
Experts in trading education and institutional-based market strategies
👊 Test the strategy, follow the rules, and experience the difference for yourself.
Aegis Parabolic PRO🟦 Aegis Parabolic PRO
Multi-Timeframe Parabolic Trend Confluence & Market Alignment Framework
Product Class: Trend Intelligence, Multi-Timeframe Confluence, Execution Discipline
Built For: Beginners to Advanced Traders across Crypto, Forex, Stocks, Indices, Commodities
🟦 1 Overview
Aegis Parabolic PRO is a multi-timeframe trend confluence system engineered to help traders objectively understand market behavior by synchronizing a Macro Trend layer with a Micro Signal layer.
It blends Parabolic SAR volatility behavior with EMA structural bias and smart visual alignment, allowing traders to immediately recognize when short-term momentum aligns with broader directional control.
This system does not predict price.
Instead, it delivers structured clarity, reduces emotional reaction, and provides a disciplined visual environment suitable for all trader experience levels and any market or timeframe.
🟦 2 Core Concept
Aegis Parabolic PRO evaluates markets through two independent yet synchronized perspectives:
Macro Trend Layer
Defines higher-timeframe directional environment.
If Macro is Bullish → upward structural bias
If Macro is Bearish → downward structural bias
Think of this as the “market weather.”
Micro Signal Layer
Tracks short-term execution behavior.
When Micro aligns with Macro, conditions strengthen.
Think of this as “wind direction” inside the larger weather trend.
EMA Structure Filter
A higher-timeframe EMA refines directional confidence and helps separate stronger trending environments from weaker, transitional conditions.
Alignment Equals Confluence
When both layers agree, confluence strengthens.
This is visually highlighted to enhance decision discipline without hype or unrealistic claims.
🟦 3 Key Features
✔ Multi-Timeframe Trend Intelligence
• Independent Macro and Micro SAR engines
• Seamless TradingView MTF handling
• Structured confluence logic
✔ Visual Clarity & Professional UI
• Clean, unobstructed design
• Alignment color visualization
• Adaptive intensity reflection system
✔ EMA Market Bias Layer
• Higher-timeframe EMA
• Trend structure awareness
✔ Non-Repainting Logic
• Lookahead disabled
• HTF closes confirmed only
• Conservative reliable logic
✔ Alerts Included
• Bullish Alignment Alert
• Bearish Alignment Alert
✔ Built-In Trade Style Matrix
Suggested profiles for Scalping, Day Trading, Swing, Long-Term — displayed directly on the chart.
🟦 4 Customization & Flexibility
Aegis Parabolic PRO adapts to any trading style.
Macro SAR Engine
• Timeframe
• Acceleration Factor settings
• ATR influence
Micro SAR Engine
• Independent timeframe
• Responsiveness tuning
• Momentum sensitivity controls
EMA Bias Layer
• Adjustable length
• Adjustable intensity weighting
Matrix Table
Provides structured strategy configuration guidance with flexibility for custom tuning.
🟦 5 Usage Guidance
This is a trend confluence and context tool, not a standalone entry trigger.
General Usage
• Use Macro for directional awareness
• Use Micro for actionable alignment
• Use EMA for structural confirmation
• Avoid forcing trades during disagreement phases
• Be cautious in highly ranging environments
Timeframe Considerations
• Lower TF → more signals, higher noise
• Mid TF → balanced execution
• Higher TF → fewer but stronger alignment phases
Select according to your trading style.
🟦 6 Example Scenarios
Bullish Alignment
1️⃣ Macro Trend turns bullish
2️⃣ Micro Signal aligns bullish
3️⃣ EMA supports upward bias
4️⃣ Bullish Alignment alert triggers
5️⃣ Chart visually confirms synchronized behavior
This does not guarantee continuation, but confirms structural agreement.
Bearish Alignment
1️⃣ Macro shifts bearish
2️⃣ Micro follows bearish
3️⃣ EMA reflects downside bias
4️⃣ Bearish Alignment alert triggers
Clear downside structural confluence identified.
🟦 7 Settings Overview
Macro SAR Block
Defines broader trend bias.
Recommended higher timeframe for stable directional structure.
Micro SAR Block
Defines execution responsiveness.
Recommended lower timeframe for tactical timing.
EMA Layer
Defines structural bias strength.
Higher value = slower stability
Lower value = faster reaction
Visualization Intensity
Reflects relative condition strength
Purely visual — not part of trading logic
Alerts
• Bullish Alignment
• Bearish Alignment
🟦 8 Conclusion
Aegis Parabolic PRO is engineered to provide traders with structured clarity, objective confluence, and disciplined environmental awareness.
It does not attempt to predict movements.
It organizes the market into understandable conditions, supports better decision discipline, and strengthens confidence through visual market structure communication.
Perfect for:
• Beginners seeking structured clarity
• Intermediate traders wanting confirmation
• Experienced traders managing multi-timeframe logic
🟦 9 Disclaimer
This indicator does not guarantee profits and is not financial advice.
Trading involves risk. Users remain fully responsible for execution decisions, risk management, and outcomes.
Past performance does not guarantee future results.
Aegis Parabolic Oscillator PRO🟦 Aegis Parabolic Oscillator PRO
Premium Multi-Layer Confluence & Trend Alignment Oscillator
Product Class: Trend Confluence, Multi-Timeframe Synchronization, Structured Market Interpretation
Built For: Traders who value discipline, clarity, and objective decision support across Crypto, Forex, Stocks, Commodities, and Indices
🟦 1 Overview
Aegis Parabolic Oscillator PRO is a professional-grade confluence oscillator designed to clearly visualize when macro trend bias, micro trend alignment, and EMA structural strength synchronize.
Rather than guessing momentum conditions or reacting emotionally to volatility, the oscillator translates multi-timeframe market behavior into an intuitive, disciplined, and visually readable framework.
The goal is simplicity without oversimplification — structured clarity for real trading environments.
🟦 2 Core Concept
The system is built upon three synchronized perspectives:
Macro SAR Trend
Defines broad directional bias and structural market control.
Micro SAR Momentum
Evaluates short-term execution direction and responsiveness.
EMA Structural Filter
Confirms whether price behavior remains aligned within trend structure.
When these perspectives agree, confluence strengthens.
The oscillator converts this into a clear strength-bucket visualization, turning complexity into actionable clarity.
🟦 3 Key Features
✔ Multi-timeframe Macro & Micro Intelligence
✔ EMA Structural Confirmation Layer
✔ Non-repainting conservative logic
✔ Macro Alignment Ribbon Visualization
✔ Strength-Bucket Oscillator Interpretation
✔ Trading Style Guidance Matrix Built-In
✔ Clean, modern presentation optimized for active trading
Designed to represent structure — not randomness.
🟦 4 Customization & Flexibility
The system adapts to any strategy and trading approach.
Macro Layer
• Select timeframe
• Configure SAR behavior
• Adjust responsiveness
Micro Layer
• Select timeframe
• Tune SAR sensitivity
• Adapt execution responsiveness
EMA Structure Layer
• Adjustable length
• Visual responsiveness controls
Universal Compatibility
• Works on every market
• Works on every timeframe
• Fits scalp, day trade, swing, and position workflows
🟦 5 Usage Guidance
This is confirmation and structure intelligence, not a prediction tool.
Recommended approach:
• Use Macro Bias to understand overall environment
• Use Oscillator Strength to measure alignment quality
• Avoid acting in mixed or conflicted states
• Use as structured confirmation within your system
When alignment strengthens, confidence strengthens.
When structure conflicts, discipline prevents emotional trades.
🟦 6 Example Scenario
Bullish Confluence
• Macro SAR bullish
• Micro SAR bullish
• EMA supportive
→ Oscillator pushes toward high positive zones
This indicates strong structural alignment.
Bearish Confluence
• Macro SAR bearish
• Micro SAR bearish
• EMA supportive
→ Oscillator moves deep negative
Indicates downside alignment strength.
Mixed Conditions
Macro and Micro disagree
→ Oscillator remains neutral to moderate
Signals caution and uncertainty.
🟦 7 Settings Overview
Macro SAR Block
Controls high-timeframe trend determination.
Micro SAR Block
Controls tactical momentum recognition.
EMA Structure Layer
Defines structural market bias stability.
Trade Style Matrix
Provides helpful tuning guidance for Scalping, Day Trading, Swing, and Long-Term usage.
Each category allows sensitivity and responsiveness tuning so the oscillator behaves exactly as desired.
🟦 8 Conclusion
Aegis Parabolic Oscillator PRO delivers clear, disciplined, institutional-style market interpretation in a single, easy-to-read framework.
It simplifies multi-timeframe confluence, enhances trading discipline, and supports decision confidence without hype or illusion.
Ideal for traders who want structured clarity, beginner-friendly usability, and professional analytical depth.
🟦 9 Disclaimer
This indicator does not guarantee profits and does not constitute financial advice.
Trading involves risk. Users remain responsible for execution, capital management, and results.
Past performance does not guarantee future outcomes.
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management.
🔶 Advanced Shannon Entropy Engine
Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability.
float entropy = 0.0
float total = float(len)
for i = 0 to bins - 1
float count = array.get(bin_counts, i)
if count > 0
float prob = count / total
entropy -= prob * math.log(prob) / math.log(2)
float max_entropy = math.log(bins) / math.log(2)
result := entropy / max_entropy
🔶 Adaptive Percentile Threshold System
Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution.
🔶 Multi-Timeframe Alignment Framework
Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability.
🔶 Three-Regime Classification Engine
Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness.
🔶 Composite Entropy Architecture
Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information.
🔶 Dynamic Gradient Visualization System
Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength.
🔶 Intelligent Zone Fill Architecture
Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention.
🔶 Momentum-Based Divergence Detection
Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes.
🔶 Normalized Display Framework
Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison.
🔶 Regime Strength Measurement
Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions.
🔶 Performance Optimization Framework
Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods.
🔶 Why Choose Market Entropy ?
This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
8MA Cross + Macro Divergences PRO🟦 8MA Cross + Macro Divergences PRO
Institutional Trend Cascade & Macro Reversal Intelligence Framework
Product Class: Trend Structure Analysis, Cascade Momentum Detection, Macro Divergence Intelligence
Built For: Professional and serious retail traders across Crypto, Forex, Stocks, Indices, Commodities
🟦 1 Overview
8MA Cross + Macro Divergences PRO is an institutional-grade analytical engine engineered to identify trend cascades, structural momentum phases, and powerful macro reversal conditions.
By combining an 8-layer Moving Average diffusion system with advanced macro divergence detection, the tool reveals when trends strengthen, when momentum weakens, and when markets may be preparing for major turning points.
This creates a highly visual, deeply informative trading framework that delivers structural clarity, trend intelligence, exhaustion awareness, and reversal timing inside a single system.
🟦 2 Core Concept
The indicator is built around three professional trading foundations:
1️⃣ Trend Momentum Moves in Cascades
When multiple MAs align, acceleration increases. When alignment breaks, momentum deteriorates.
2️⃣ Divergences Reveal Hidden Market Truth
Macro divergences expose underlying weakness or strength before price confirms — both classic and hidden.
3️⃣ Structure + Confirmation = Better Decisions
Instead of relying on a single shallow trigger, the system blends cascade alignment, directional flow, macro behavior, and divergence confirmation to create a robust institutional market intelligence framework.
🟦 3 Key Features
✔ Eight-layer MA diffusion engine
✔ Dynamic zero-line diffusion oscillator
✔ Bullish and bearish cascade detection
✔ Highlighted cascade strength visualization
✔ Classic divergence detection
✔ Hidden divergence detection
✔ Non-repainting confirmed logic
✔ Shape + background visualization technology
✔ Macro tuning flexibility
✔ Works on all markets and all timeframes
Capabilities normally requiring multiple indicators now exist in one professional tool.
🟦 4 Customization & Flexibility
The system adapts to every methodology.
Moving Averages
• Configure base, short, medium, and long speeds
• Enable extended macro MA layers
• Select EMA, SMA, SMMA, WMA, or VWMA
Divergence Engine
• Enable classic bullish / bearish
• Enable hidden bullish / bearish
• Adjust pivot sensitivity
• Control amplitude thresholds
• Apply smoothing
• Use macro tuning display table
Cascade Signal Layer
• Enable / disable cascade logic
• Choose shapes, background, or both
• Candle-close confirmation
• Full color control
• Adjustable opacity and positioning
This creates a premium professional analytical instrument that adapts to any strategy style.
🟦 5 Usage Strategy
Recommended operational workflow:
1️⃣ Use MA diffusion to understand trend maturity
2️⃣ Identify cascade alignments for strong momentum phases
3️⃣ Watch for bearish cascade development in bullish exhaustion
4️⃣ Look for bullish cascades emerging from deep bearish environments
5️⃣ Use macro divergences as early structural reversal warnings
6️⃣ Combine with price action, structure, and personal trading logic
Perfect for:
• Trend traders
• Swing traders
• Reversal hunters
• Momentum cycle traders
• Institutional-style macro observers
🟦 6 Example Scenario
The market trends aggressively upward.
Multiple MA layers align.
Cascade turns deeply bullish — trend remains strong.
Later:
• Price forms higher highs
• Oscillator fails to confirm
• A classic bearish divergence prints
• Cascade alignment weakens
• Bearish cascade confirms
This marks a high-probability structural reversal environment.
In bearish markets, the logic applies inversely.
🟦 7 Settings Overview
Moving Averages
Controls full 8-MA structural backbone.
Visibility Controls
Show or hide visual elements for chart cleanliness.
Fill Area Logic
Defines bullish vs bearish diffusion zones.
Divergence Controls
Configure type, strength, spacing, smoothing, and visual style.
Cascade Control Layer
Enable bull / bear cascade logic, confirmation mode, backgrounds, shapes, opacity, and positioning.
Alerts
• Cascade Buy
• Cascade Sell
• Classic Bullish Divergence
• Classic Bearish Divergence
• Hidden Bullish Divergence
• Hidden Bearish Divergence
🟦 8 Conclusion
8MA Cross + Macro Divergences PRO delivers elite-level structural clarity and macro intelligence inside a single unified framework.
It provides:
• Clear market structure reading
• Momentum flow visibility
• Exhaustion and reversal awareness
• Simple but powerful visual communication
• Professional-grade analytical depth
This is engineered for traders who demand precision, discipline, and serious structural insight.
🟦 9 Disclaimer
This indicator does not guarantee profits and is not financial advice.
It is intended for analytical and educational use only.
Trading involves risk. Users remain fully responsible for execution, risk management, and decisions.
ATRlvlThe indicator shows the filtered ATR, and you can specify the level price and see how the instrument behaves relative to the level, taking into account the ATR.
Bollinger BandWidth (Session-Adjusted)Description
This indicator is a session-adjusted version of Bollinger BandWidth (BBW), specifically designed for instruments with limited trading hours, such as European stock indices (e.g., FTSE MIB, DAX, CAC, which trades from 09:00 to 17:30 CET — 8.5 hours) or individual stocks.
Standard Bollinger BandWidth on intraday charts can be distorted because calculations include non-trading periods (flat prices overnight), leading to inaccurate volatility readings.This script dynamically adjusts the Bollinger Bands calculation to approximate daily periods based on the actual trading session length, ensuring the BBW reflects true market volatility during active hours.
Key Features
Session-Adjusted Bollinger Bands:
The lookback period (default 20 days) is converted into an equivalent number of intraday candles based on your chart's timeframe and the session duration. This makes the indicator suitable for intraday timeframes (e.g., 5min, 15min, 1H) on limited-session assets.
Bollinger BandWidth (BBW) as Percentage:
Plots (Upper Band - Lower Band) / Middle Band * 100, a relative measure of volatility (higher values = wider bands = higher volatility).
Dynamic Expansion and Contraction Levels:
Red line: Highest BBW over the selected expansion lookback period (default 25 days) — highlights peak volatility levels.
Green line: Lowest BBW over the selected contraction lookback period (default 25 days) — highlights extreme squeezes (low volatility).
Fully customizable inputs for session hours, BB parameters, and dynamic level periods.
How It Works
Session Adjustment: Input session duration (default 8.5 hours).
The script calculates approximate candles per trading day for your current chart timeframe.
Bollinger Bands are computed using length * candlesPerDay bars, simulating a true multi-day calculation within intraday data.
BBW Calculation:
Basis: Simple Moving Average (SMA).
Deviation: Multiplier × Standard Deviation.
BBW = (2 × Deviation / Basis) × 100.
Dynamic Lines:
Expansion line uses the same session-adjusted period for highest BBW.
Contraction line uses the lowest BBW.
Usage and Trading Ideas
Bollinger BandWidth is a powerful volatility indicator popularized by John Bollinger. Low BBW values indicate band contraction ("Squeeze") — periods of low volatility often followed by strong breakouts. High BBW values indicate expansion — trending or volatile phases that may exhaust and lead to consolidation.
Squeeze Setup:
Watch for BBW dropping toward or below the dynamic low (green) line. This signals potential impending volatility expansion and breakout opportunities.
Expansion Confirmation:
BBW rising above the dynamic high (red) line suggests strong volatility — useful for trend-following or avoiding counter-trend trades.
Combine with price action (e.g., break of support/resistance), volume, or momentum indicators (RSI, MACD) for directional bias.
Ideal for intraday or swing trading on European indices, stocks, or other limited-session instruments where standard BBW would be misleading.
This adjustment makes the indicator more accurate on lower timeframes compared to built-in versions, providing cleaner volatility signals aligned with real trading sessions.
Enjoy the script — feedback welcome!
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]How to Use the SMC Pro Indicator: ALL-IN & Dynamic S/R is designed to help you trade following the "Smart Money" quickly and accurately. The usage steps are as follows:
1. Reading Entry Signals
🔥 ALL-IN BUY/SELL: This is the most accurate signal, generated by a breakout of a key support level (Pivot) combined with unusually high trading volume (1.5 times higher) and confirmation from the EMA trend.
Fast Buy/Sell (Small Triangle): This is a supplementary signal when the EMA Fast line crosses the EMA Slow line. It's suitable for finding opportunities to "Follow the Trend" or add to positions when the trend strengthens.
2. Managing Targets (TP/SL/Entry)
When the ALL-IN signal appears, the system will immediately draw three lines to the right of the graph:
Gray line (ENTRY): The price point where you should open an order.
Blue line (TP): Profit target. Calculated using a Risk:Reward Ratio of 2.0 (adjustable).
Red line (SL): Stop-loss point calculated from the ATR value for safety.
3. Using Support and Resistance Boxes (Dynamic Zones)
Green box (Support): Zone with strong buying pressure. If the price tests this level and doesn't break below, there's a high chance of a rebound.
Red box (Resistance): Zone with accumulated selling pressure. If the price tests this level and fails to break through, there's a chance of a pullback.
Disappearance of boxes: When the price "breaks through" the bar, these boxes automatically disappear to indicate that the zone has been broken, and the system will immediately start looking for a new, stronger zone.
4. Auto-Reset System (Completion of Trade)
When the price hits the TP or SL line, the system will mark an "X" on the screen.
The old target line will be immediately deleted to clear the position, making the chart look clean and ready for a new ALL-IN signal.
💡 Additional Tip:
Candlestick color: Trade Buy when the candlestick is green, and trade Sell when the candlestick is red.
If the candlestick is orange, it means the market is sideways. It is recommended to wait for a clear ALL-IN signal before entering a trade.
