Advanced Liquidity Fibonacci Zones - Ace of TradesAdvanced Liquidity Fibonacci Zones – Ace of Trades Theory
How to Use This Script:
This advanced indicator visualizes key "liquidity zones" based on custom Fibonacci levels, reflecting the real areas where market makers, institutions, and advanced algorithms manage risk—far beyond basic retail “golden ratio” retracements. Unlike traditional tools, these zones align with the market maker theory popularized by Ace of Trades (@acethebully on X).
How to Paint the Highs and Lows
Select the Indicator ("Advanced Liquidity Fibonacci Zones – Ace of Trades Theory") and add it to your chart.
Use the two input fields to manually mark your key swing points:
Click the “Swing Low (0.0 Level)” input, then select a price bar on your chart for the swing low.
Click the “Swing High (1.0 Level)” input, then select the bar for your swing high.
These anchors will paint the exact price range that all fib zones are projected between.
The script will automatically draw all major liquidity/retracement/extension zones as colored bands or boxes across your chart, extended into the future for clear reference.
What Do the Zones Mean?
Zones are based on Ace of Trades' market maker theory. They're not just “lines”—they show where professional liquidity providers, algorithms, and institutional traders strategically rebalance, accumulate, or distribute.
Each zone is labeled with its precise fib ratio and price, with zone descriptions acknowledging their theoretical function (e.g., Golden Band, Momentum Pullback, Stop-Hunt Extension, Blow-Off Range, etc).
Best Practices
Use the script to identify areas where liquidity is expected to pool (for reaction or continuation), rather than just following retail golden ratios.
Paint your swing highs/lows cleanly—from the local low before an impulse, to the most relevant high after a move (or vice versa for down moves).
Observe how price reacts at these boundaries and plan entries/exits accordingly.
Special thanks and all intellectual credit to Ace of Trades (@acethebully on X) for his public education and original market maker insights.
This tool was developed to fully honor and operationalize the liquidity geometry theory from his work.
Trend Analysis
ALMA & EMA Ribbon by zdmreThis indicator combines a unique trend-following signal with a classic EMA ribbon to provide a clear view of the market trend.
The main signal line is not based on a typical ATR. Instead, it uses an Arnaud Legoux Moving Average (ALMA) as its baseline and calculates support/resistance bands using Standard Deviation. This creates a responsive trend line that adapts well to volatility. This is paired with a simple EMA Ribbon to help confirm momentum.
What It Does
ALMA + SD Trend Line: This is the core of the indicator. It uses an ALMA as the baseline (instead of a simple MA) and Standard Deviation for the bands. This tends to be more responsive than many traditional trend-following indicators.
Buy/Sell Signals: Simple "B" and "S" labels appear on your chart when the trend is calculated to have changed direction.
EMA Ribbon: A standard Fast/Slow EMA ribbon is plotted to give you a secondary confirmation of momentum. The fill between the EMAs changes color (green for bull, red for bear).
On-Screen Dashboard: A clean info panel in the corner shows you the current status of all components at a glance:
Current Signal (Long/Short)
Price vs. Trend Line (Above/Below)
Trend Strength (%)
EMA Trend (Bullish/Bearish)
Momentum
Fully Customizable: You can toggle every visual element on or off (the signals, the ribbon, the bar coloring, the dashboard) to keep your chart clean.
Settings
Trend Settings:
Factor: This is the main setting. It's the Standard Deviation multiplier. A higher value makes the line less sensitive (fewer signals). A lower value makes it more sensitive (more signals).
SD Length: The lookback for the Standard Deviation.
ALMA Settings:
ALMA Length, Sigma, Offset: Standard controls for the ALMA's smoothness and responsiveness.
EMA Ribbon:
Fast EMA & Slow EMA: Set the lengths for your ribbon.
Visual Settings:
Checkboxes to toggle all visual components (signals, ribbon, dashboard, etc.).
You can set up alerts in TradingView for the following events:
🟢 Long Signal: Triggers on a new "B" (Buy) signal.
🔴 Short Signal: Triggers on a new "S" (Sell) signal.
⚠️ Price Crossed Trend: Triggers any time the price closes across the main trend line.
#DYOR
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
Volumatic VIDYA – Pro+1. Professional & Clear (recommended for TradingView)
Volumatic VIDYA Pro+ combines a dynamic VIDYA trend filter, Delta Volume pressure, and automatic pattern recognition (Double/Triple Tops & Bottoms, Head & Shoulders).
A complete technical tool for detecting momentum shifts, trend reversals, and trade entries across multiple timeframes.
2. Short & Catchy
Adaptive VIDYA trendline + Delta Volume + Pattern detection in one tool.
Instantly visualize market bias, structure, and momentum strength.
3. Educational / Analytical
Analyze market dynamics with VIDYA-based trend filtering, volume delta analysis, and automated pattern recognition.
Ideal for traders who combine price action with quantitative confirmation.
Pump & Dump Detector v6Overview:
The Pump & Dump Detector v6 is a powerful TradingView indicator designed to identify rapid bullish (pump) or bearish (dump) price movements in real time. By combining Rate of Change (ROC), candle volatility, and volume analysis, this indicator highlights extreme market moves that could indicate momentum spikes, retail-driven activity, or potential manipulations.
Key Features:
ROC-Based Detection: Detects strong upward or downward price momentum over a configurable period.
Volume Confirmation: Filters signals based on volume exceeding a simple moving average, reducing false alerts.
Customizable Candle Filters: Ensures signals are triggered only when the candle shows meaningful movement.
Visual Alerts: Displays clear green (pump) and red (dump) markers on the chart with customizable size.
Real-Time Alerts: Sends instant notifications when pump or dump conditions are met, once per bar.
User-Friendly Inputs: Adjust ROC length, thresholds, minimum candle move, and volume MA length to fit your trading style.
Community-Oriented: As a trader and software professional, I noticed that most pump/dump indicators are restricted access. I developed this indicator to be free for all, helping the trading community.
How to Use:
Green triangle below the bar → Pump detected; consider bullish setups.
Red triangle above the bar → Dump detected; consider bearish setups.
Use in conjunction with other technical analysis tools for confirmation.
Alerts can be used for automated notifications or trading strategies.
Why It’s Useful:
This indicator saves time and enhances decision-making by spotting extreme price moves early, giving traders an edge in volatile markets. Ideal for intraday, swing, and crypto traders looking to capitalize on sudden momentum shifts.
Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry
Overview
The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time.
The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean.
Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust.
Theoretical Foundation
The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence.
At its core are three interacting components:
Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility.
Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure.
Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases.
By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion.
How It Works
The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics:
Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates.
Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds.
Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal.
Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur.
Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field.
Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm.
Interpretation
The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull.
Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion.
Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries.
Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion.
Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset.
Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points.
Strategy Integration
The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems:
Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups.
Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium.
Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases.
Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning.
Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context.
Technical Implementation Details
Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration.
Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion.
Directional Logic : EMA-slope driven bias for adaptive mean tilt.
Channel Composition : Independent upper and lower envelopes with smoothing and transparency control.
Signal Structure : Alerts for mean crossovers and boundary breaches.
Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis.
15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure.
4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones.
Suggested Configuration:
Mean Length : 20 - 50
Volatility Multiplier : 1.5× - 2.5×
Reversion Sensitivity : 0.4 - 0.8
Smoothing : 2 - 5
Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency.
Performance Characteristics
High Effectiveness:
Trending environments with cyclical pullbacks and volatility oscillation.
Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto).
Reduced Effectiveness:
Low-volatility consolidations with minimal variance.
Random walk markets lacking definable equilibrium anchors.
Integration Guidelines
Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation.
Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes.
Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management.
Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels.
Disclaimer
The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
Pivot Points High Low (%-Auslenkung)Marks swing highs and lows only when the price deviation between opposite pivots exceeds a user-defined percentage threshold.
HEK Dinamik Fiyat Kanalı Stratejisi v1HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
6 gün önce
Sürüm Notları
HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
Gann Angles by Calendar DateA script that draws Gann angles. 1x1/1x2/1x3/1x4/1x8
Manually enter the date and price.
Gann often wrote that if the price is above the 1x1 angle, the trend is strong. If it is below, the trend is weak.
Preference is given to charts with trading days.
The color of the angles can be changed as desired.
Block-Based Trend Breakout (UTB/DTB) & S/R ZonesThis indicator is designed to detect potential trend reversals or volatility bursts by analyzing price action structured into "blocks." Its primary goal is to capture the earliest signals that a defined trend structure is weakening or breaking.
Signal Generation:
🟢 DTB (Downtrend Breakout): When a confirmed downtrend is identified (e.g., price has been falling for 2 blocks), the indicator waits for the price to break above the highest high of the last completed block in that trend. When this break occurs, it signals a potential bullish reversal with a green DTB triangle below the bar.
🔴 UTB (Uptrend Breakdown): When a confirmed uptrend is identified (e.g., price has been rising for 2 blocks), the indicator waits for the price to break below the lowest low of the last completed block. When this break occurs, it signals a potential bearish reversal with a red UTB triangle above the bar.
🛠️ Key Settings
Block Size (bars): The number of bars in each block used to analyze the trend structure. Lower values track short-term trends; higher values track long-term trends.
Trend Confirmation (steps): The minimum number of consecutive blocks required to "confirm" a trend.
Tolerance: Allowed Off-Trend Steps: The number of "noise" blocks allowed while confirming a trend.
Show Support/Resistance Zones: Toggles the histogram-based S/R zones on or off.
S/R Lookback (blocks): Determines how many blocks to look back for calculating S/R zones.
S/R Zone Width (in ATR): Sets the thickness of the S/R zones, denominated in ATRs.
If you find this useful please reach out and let me know how you use it as it's fairly unique... and thus different than anything I've ever seen or used.
Session Dominator — Asia • London • New York Precision ZonesRule the global market sessions.
Session Dominator is a precision-engineered indicator built for traders who want total clarity across Asia, London, and New York sessions.
It automatically plots:
🔷 Dynamic Session Boxes — visually map institutional killzones in real time
⚙️ Session Mean Line — track equilibrium and liquidity shifts
📊 EMA-50 Confluence — align directional bias and intraday trend
🎯 BSL / SSL Levels — reveal active liquidity sweeps and reversals
💡 Bias Engine — evaluates structure and locks the session bias automatically
Toggle between Asia / London / New York / Overlap / Custom modes to dominate any timezone.
Designed with minimalist visuals, high precision, and ICT-based logic — this tool helps you anticipate where liquidity will be taken before it happens.
✳️ For XAUUSD traders, scalpers, and ICT-style analysts seeking sniper-level clarity.
Vandan V2Vandan V2 is an automated trading strategy for NQ1! (E-mini Nasdaq-100) based on short-term mean reversion with dynamic risk control. It combines volatility filters and overbought/oversold signals to capture local market imbalances.
Backtested from 2015 to 2025, it achieved a +730% total return, Profit Factor of 1.40, max drawdown of only 1.61%, and over 106,000 trades. Designed for systematic scalping or intraday arbitrage with a limit of 3 simultaneous contracts.
Structure Pro by MurshidfxInspired by the 'mentfx Structure' indicator created by Anton (mentfx) on TradingView,
## Overview
Structure Pro tracks market structure by maintaining an adaptive dealing range and its midpoint. Swing highs and lows become structural boundaries, and the script responds to confirmed breakouts by recalculating the active range. Labels highlight the latest trend flip so the chart stays readable while the range evolves.
## Core Logic
- Detects swing highs/lows using a configurable pivot strength and promotes confirmed pivots to structural levels.
- Applies a percentage buffer to decide when price truly breaks structure; once triggered, the opposite boundary is recalculated with an anchor search that looks back through historical bars.
- Computes equilibrium as the midpoint between the current structural high and low so you can gauge premium versus discount zones.
- Emits a single BULL or BEAR label when the trend state changes, keeping only the most recent signal on the chart.
## How to Use
1. Open a clean chart and apply only this script.
2. Select a swing strength that matches the scale you want to monitor (lower values for responsive intraday swings, higher values for broader moves).
3. Tune the structure sensitivity percentage if you prefer tighter or looser confirmation before declaring a breakout.
4. Track DRH/DRL for the current dealing range, use the equilibrium line as a mean-reversion guide, and look to the BULL/BEAR label for structure confirmation.
5. Combine the levels with your own execution, risk, and position rules—this script does not manage orders.
## Inputs
- Swing Point Strength: bars required on both sides to confirm a pivot.
- Structure Break Sensitivity: percentage buffer applied to the range before calling a breakout.
- Dealing Range display: toggles for visibility, line width/color, label text, and label size.
- Equilibrium display: line style, width, and color controls.
- Trend Signals: enable/disable labels, adjust text size, and pick label colors.
## Notes
- Designed for live structure tracking; the script relies on confirmed pivots and does not peek into future data.
- Built to be chart-agnostic for standard candles; non-standard chart types can distort the measurements.
- Published open-source so traders can review and verify the implementation details.
Dynamic ATR Targets - Long & Short with Trailing SL by ISdynamic SL based on ATR
SL,TP, entry
ATR based
good for dynamic SL
1:3 RR
MTF Support & Resistance (Optimized)🧠 Smart Multi-Timeframe Support & Resistance (4H / 1H)
This advanced indicator automatically detects, clusters, and visualizes high-probability support and resistance levels across multiple timeframes — giving traders a clean and intelligent market map that adapts to price action in real time.
🔍 How It Works
The script scans historical 4-hour and 1-hour charts to identify swing highs and lows using pivot logic.
It then applies ATR-based clustering to merge nearby levels, filters weak or irrelevant zones, and highlights the most significant price reaction areas based on the number of touches and proximity to the current price.
Each level’s thickness and transparency are dynamically adjusted by strength:
Thicker lines = more confirmations (stronger level)
Fainter lines = weaker, less-tested level
⚙️ Main Features
✅ Multi-Timeframe Analysis (4H + 1H)
✅ Automatic pivot detection and level clustering
✅ Smart filtering based on ATR, proximity, and touch count
✅ Dynamic line width and opacity that scale with level strength
✅ Minimal clutter — only the most relevant nearby levels are displayed
✅ Color-coded visualization for quick interpretation
🔴 Red = 4H Resistance
🟢 Lime = 4H Support
🟠 Orange = 1H Resistance
🟦 Aqua = 1H Support
🎯 Ideal For
Scalpers, swing traders, and intraday analysts who want:
A clear visual map of major reaction zones
Automatic detection of high-confluence levels
A smart, adaptive system that works across assets and timeframes
📈 Usage Tips
Combine with volume, order-flow, or market-structure tools for confluence.
Use higher-strength levels (thicker lines) as bias zones for entries and exits.
Enable or disable 4H/1H visibility to match your trading style.
Built with precision and performance in mind — this Smart S&R system transforms raw swing data into a readable, multi-layered price map for confident trading decisions.
TMB Invest - Smart Money Concept StrategyEnglish:
**Quick Overview**
The "TMB_SMC_Strategy_v1.1.3" combines a classic trend filter using two EMAs with contrarian RSI entries and simple SMC elements (Fair Value Gaps & Order Blocks). Stop-loss and take-profit orders are volatility-adaptive and controlled via the ATR. An integrated dashboard displays the setup status, stop-loss/take-profit levels, entry reference, and trend, RSI, and ATR values.
---
## Operating Principle
1. **Trend Filter:** A fast EMA (default 50) is compared to a slow EMA (default 200). Trading occurs only in the direction of the trend: long in uptrends, short in downtrends.
2. **Timing via RSI:** Contrarian entries within the trend. Go long when the RSI is below a buy level (default 40); Short when the RSI is above a sell level (standard 60).
3. **Structure Check (SMC Proxy):** An "FVG Touch" serves as additional confirmation that an inefficient price zone has been tested. Order blocks are visualized for guidance but are not a direct entry trigger.
4. **Risk Management via ATR:** Stop-loss and take-profit levels are set as multipliers of the current ATR (e.g., SL = 1×ATR, TP = 2×ATR). This allows target and risk distances to adjust to market volatility.
5. **Simple Position Logic:** Only one position is held at a time (no pyramiding). After entry, stop and limit orders (bracket exit) are automatically placed.
---
## Input Values
* **EMA Fast / EMA Slow:** Lengths of the moving averages for the trend filter.
* **RSI Length / Levels:** Length of the RSI as well as buy and sell thresholds (contra signals within the trend direction).
* **Take Profit (RR) / Stop Loss (RR):** ATR multipliers for TP and SL.
* **Show FVGs & Order Blocks:** Toggles the visual SMC elements (zones/boxes) on or off.
--
## Signals & Execution
* **Long Setup:** Uptrend (fast EMA above slow EMA) **and** RSI below the buy level **and** a current FVG signal in a bullish direction.
* **Short Setup:** Downtrend (fast EMA below slow EMA) **and** RSI above the sell level **and** a current FVG touch in a bearish direction.
* **Entry & Exit:** If the setup is met, the market is entered; stop-loss/take-profit orders are placed immediately according to ATR multiples.
--
## Visualization
* **EMAs:** The fast and slow EMAs are plotted to illustrate the trend.
* **FVGs:** Fair Value Gaps are drawn as semi-transparent boxes in the trend color and projected slightly into the future.
* **Order Blocks:** Potential order block zones from the previous candle are visually highlighted (for informational purposes only).
---
## Integrated Dashboard
A compact table dashboard (bottom left) displays:
* Current **Setup Status** (Long/Short active, Long/Short ready, No Setup),
* **Stop-Loss**, **Take-Profit**, and **Entry Reference**,
* **Trend Status** (Bull/Bear/Sideways),
* **RSI Value**, and **ATR Value**.
Active long/short positions are highlighted in color (green/red).
--
## Practical Guide
1. **Place on Chart** and select the desired timeframe.
2. **Calibrate Parameters** (EMA lengths, RSI levels, ATR multipliers) to match the market and timeframe.
3. **Backtest** across different market phases; prioritize robustness over maximum curve fit.
4. **Fine-Tuning:**
* Shorter EMAs are often useful intraday (e.g., 20/100 or 34/144).
* Adjust RSI levels to market characteristics (45/55 for aggressive trading, 30/70 for conservative trading).
* Increase or decrease ATR multipliers depending on volatility/trading style.
--
## Notes, Limitations & Extensions
* **FVG Definition:** The FVG detection used here is intentionally simplified. Those who prefer a more rigorous approach can switch to a 3-candle definition and fill levels.
* **Order Blocks:** These primarily serve as a guide. Integration into entry/exit logic (e.g., retests) is possible as an extension.
* **Backtest Realism:** Fills may differ from the displayed closing price. For greater accuracy, intrabar backtests or an entry indicator based on the average position price are conceivable.
* **Alerts:** Currently, no alert conditions are defined; these can be added for long/short setups and status messages.
* **Position Management:** By default, no scaling is performed. Partial sales, trailing stops, or multiple entries can be added.
---
## Purpose & Benefits
The strategy offers a clear, modular framework: trend filter (direction), RSI contra timing (entry), SMC proxy via FVG Touch (structure), and ATR-based exits (risk adaptation). This makes it robust, easy to understand, and highly extensible—both for discretionary traders who appreciate visual SMC elements and for systematic testers who prefer a clean, parameterizable foundation.
Intraday Perpetual Premium & Z-ScoreThis indicator measures the real-time premium of a perpetual futures contract relative to its spot market and interprets it through a statistical lens.
It helps traders detect when funding pressure is building, when leverage is being unwound, and when crowding in the futures market may precede volatility.
How it works
• Premium (%) = (Perp – Spot) ÷ Spot × 100
The script fetches both spot and perpetual prices and calculates their percentage difference each minute.
• Rolling Mean & Z-Score
Over a 4-hour look-back, it computes the average premium and standard deviation to derive a Z-Score, showing how stretched current sentiment is.
• Dynamic ±2σ Bands highlight statistically extreme premiums or discounts.
• Rate of Change (ROC) over one hour gauges the short-term directional acceleration of funding flows.
Colour & Label Interpretation
Visual cue Meaning Trading Implication
🟢 Green bars + “BULL Pressure” Premium rising faster than mean Leverage inflows → momentum strengthening
🔴 Red bars + “BEAR Pressure” Premium shrinking Leverage unwind → pull-back or consolidation
⚠️ Orange “EXTREME Premium/Discount” Crowded trade → heightened reversal risk
⚪ Grey bars Neutral Balanced conditions
Alerts
• Bull Pressure Alert → funding & premium rising (momentum building)
• Bear Pressure Alert → premium falling (deleveraging)
• Extreme Premium Alert → crowded longs; potential top
• Extreme Discount Alert → capitulation; possible bottom
Use case
Combine this indicator with your Heikin-Ashi, RSI, and MACD confluence rules:
• Enter only when your oscillators are low → curling up and Bull Pressure triggers.
• Trim or exit when Bear Pressure or Extreme Premium appears.
• Watch for Extreme Discount during flushes as an early bottoming clue.
3 Moving Average Exponential3 Moving Average Exponential, up to 10 ema with the possibility to personalize the lenght of each of them
Intraday Intensity Percent (IIP) by CoryP1990 – Quant ToolkitThe Intraday Intensity Percent (IIP) quantifies buying vs. selling pressure within each bar by combining price position inside the range and trading volume. It’s essentially a volume-weighted order-flow indicator, showing whether volume concentrates near highs (buying pressure) or lows (selling pressure).
How it works
Computes the Intraday Intensity (II) = ((Close − Low) − (High − Close)) / (High − Low) × Volume.
Then compares total “intensity” to total volume over a look-back window to produce a normalized percentage.
Lime line: IIP rising → accumulation / increasing buy pressure.
Red line: IIP falling → distribution / increasing sell pressure.
Background: Green tint = heavy buying, Red tint = heavy selling.
Use cases
Identify accumulation or distribution phases early.
Confirm momentum with volume-backed pressure.
Detect divergences between price and volume flow.
Defaults
Length = 14
High-pressure threshold = +5 %
Low-pressure threshold = −5 %
Example — AAPL (2H)
Late July into early August shows sustained distribution as IIP sinks below −5% (deep red), marking heavy sell pressure during the drop. From early to mid-August, IIP flips positive and holds > +5% (green background), aligning with the rebound. After a brief mid-September shakeout, late Sep–mid Oct features renewed accumulation with repeated green surges. Most recently, IIP prints around −33%, indicating dominant selling pressure into the latest two-hour bars.
Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
ICT Sweep + CHoCH + FVG Alerts
### 🔥 ICT Sweep + CHoCH + FVG Alerts
Script designed to automate ICT entry confirmations using:
• Liquidity Sweep (Buy/Sell Stops taken)
• Change of Character (CHoCH)
• Fair Value Gap (FVG) confirmation
### ✅ Conditions
**Long signal when:**
1. Bearish liquidity sweep
2. Bullish CHoCH
3. Bullish FVG forms and gets respected
**Short signal when:**
1. Bullish liquidity sweep
2. Bearish CHoCH
3. Bearish FVG forms and gets respected
### 🎯 Purpose
This script helps traders detect smart-money setup entries based on ICT logic and receive alerts in real time.
### 📡 Alerts
Supports webhook automation for bots, signal servers, or trading platforms.
*This script does not place trades automatically, alerts only.*
### ⚠️ Disclaimer
This tool is for educational purposes.
Always backtest and use proper risk management.
Multi-Timeframe RSI TableIt can print RSI values of any four chosen periods in a tabular format on the chart itself. The table can be placed in any of the six positions, as required. If the RSI values are more than 40 or less than 40, these values are shown in bright Red, else it is light Red.
hbd.mozanitstones - GoldThis PineScript indicator code aims to create an advanced composite trading system and generates buy/sell signals by combining multiple technical analyses. Essentially, the system utilizes a composite scoring mechanism using trend filters based on moving averages (EMA 50 and EMA 200) and various oscillators (such as RSI, MACD, and Stochastic) to support buy and sell decisions. It also integrates advanced confirmation tools such as the Multi-Timeframe (MTF) EMA filter, along with additional filters such as SuperTrend, Bollinger Bandwidth, and Volume Ratio. The code's key feature is that it generates final signals that meet both traditional signal conditions and the minimum number of confirmations achieved by weighting these various indicators, thus increasing signal reliability.
