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Smart Signals Assistant [AlgoAlpha]🟠 OVERVIEW The Smart Signals Assistant is a comprehensive, all-in-one trading toolkit designed to provide a complete analytical framework on your chart. It is built around a primary signal engine that generates trend and reversal signals, enhanced by a suite of five optional "confluence" indicators that provide deeper market context. This script is highly modular, allowing you to build a personalized dashboard. You can use the main signals for entries, add a machine-learning classifier to check if the market is trending, overlay dynamic support/resistance clouds, and manage your trades with on-chart take-profit and stop-loss levels. The system is tied together with a powerful, multi-step alert builder that lets you create custom alert conditions from any combination of the script's components. 🟠 CONCEPTS This indicator is a collection of several distinct systems working together. The combination is designed to allow traders to build a complete strategy—from signal generation to confirmation and trade management—within a single tool. Here are the core concepts behind them: Smart Signals Engine: This is the heart of the indicator and operates as a hybrid with two distinct modes. The "Swing" mode uses a proprietary model that analyzes price stability and volatility to identify stable, longer-term trends. The "Scalping" mode uses a more responsive machine-laerning trend system that dynamically adapts its parameters based on learned market 'states' to real-time changes in market conditions, making it better suited for faster, lower-timeframe movements. Fair Value Trail (FVT): This is not a simple moving average. It's a volatility-based trail that helps identify dynamic zones of support and resistance. The concept is to track a "fair value" price, derived by analyzing price levels with significant volume activity, providing logical areas for entries or trailing stop-loss adjustments. Trend Spine: This component calculates a core trend backbone. Its purpose is to cut through short-term noise and provide a clearer, more stable view of the underlying primary trend direction by filtering out price action during periods of low directional momentum. Trend Bias: This is a band that measures the strength and weakness of the current price momentum. It visualizes whether bullish or bearish pressure is accelerating or decelerating by comparing recent momentum to its historical average, which is useful for confirming the conviction behind a move. Firmament Clouds: These are dynamic zones plotted on the chart that act as potential areas of support and resistance. Unlike static lines, these clouds expand and contract based on market volatility, providing an adaptive view of key price zones where the market may be overextended. Trend-Range Classifier (TRC): This is a machine learning model that analyzes multiple market characteristics (like volatility and momentum patterns) in real-time. It classifies the current market environment as either "trending" or "ranging," helping you decide which strategy to apply and filter signals that are inappropriate for the current conditions. 🟠 FEATURES Trend & Reversal Signals: Configure the main engine to provide either trend-following signals or potential counter-trend reversal signals. Signals are categorized as "Normal" or "Strong" to indicate conviction. Advanced Candle Coloring: Choose from multiple candle coloring modes, including static trend colors, a color gradient based on momentum, or a gradient based on volume. Also includes an option to highlight ranging markets with gray candles. Automated Trade Management: Enable on-chart Take-Profit and Stop-Loss levels that are automatically calculated when a signal appears. These are visualized with colored risk/reward zones. Component Status Table: A customizable on-chart dashboard that shows the live status, direction, and signal duration for every active component, giving you a complete overview at a glance. Powerful Multi-Step Alert System: Build highly specific, custom alerts. You can combine dozens of built-in conditions from all components using AND/OR logic across a sequence of up to 7 steps. External Alert Integration: The alert system can incorporate up to five external sources, allowing you to mix conditions from this script with your other favorite indicators. 🟠 USAGE This script is designed to be adapted to your personal trading style by combining components to build a complete strategy. The synergy between the components is key to its usefulness. Here is a general workflow: Initial Configuration: Start by enabling the core "Smart Signals" in the settings. Choose your preferred "Smart Signals Mode" (Swing or Scalping) and "Signal Mode" (Trend or Reversal) based on your strategy and timeframe. Adding Confluence for Reliability: To increase the reliability of signals, enable one or more confluence tools. For example, a trend trader can enable the "Trend-Range Classifier" and decide to only consider signals that appear when the market is classified as "Trending." You could further enhance this by also enabling the "Fair Value Trail" and only taking buy signals that occur near or above the trail. This demonstrates how combining components filters for higher-quality setups. Reading the Visuals: A standard "▲" or "▼" represents a normal signal, while a "+▲" or "+▼" indicates a strong signal with higher conviction. Use the candle colors to gauge the momentum within the trend. Managing Trades: If you enable "Take-Profit Levels" and "Stop-Loss Level," the script will automatically plot these on your chart when a signal appears. This can help you pre-plan your risk and potential targets. The exit signals ("x") can be used as a suggestion for taking partial or full profits. Setting Up Custom Alerts for High-Probability Setups: For a high-probability setup, navigate to the "Alerts" tab. You can create a sequence that combines multiple components to fire only on your ideal conditions. For instance: Step 1: "Smart Signals Strong Bullish Signal " Step 2: "Market Is Trending " AND "FVT In Bullish Trend " This alert would only trigger when a strong buy signal occurs while the TRC confirms a trend and the price is in a favorable position relative to the Fair Value Trail, effectively filtering out lower-quality signals by demanding agreement between multiple, conceptually different components.

Institutional Liquidity and Price Action Concepts [AlgoAlpha]🚀 Introducing the Institutional Liquidity and Price Action Concepts™ (ILPAC) , a comprehensive toolkit developed by AlgoAlpha as part of our Premium Collection. This All-in-One indicator offers a robust approach to understanding price action and liquidity, empowering traders with hyper customizable features to tailor their analysis to their specific trading strategies. Designed with efficiency and compactness in mind, the script shows Price action and liquidity through four methods: Market Structure , Liquidity Heatmap , Trend Lines , and FOMO Bubbles . Additionally, the script also includes a fully customizable interface, to match each individual's trading style. By utilizing a blend of advanced algorithms and customizable parameters, Institutional Liquidity and Price Action Concepts™ (ILPAC) provides traders with a vast array of trading strategies ranging from high frequency scalping to timing better entries on long-term swing and investing positions. The ILPAC ™ can be used with or without other AlgoAlpha Premium Collection indicators as this indicator has been designed to be able to act as a standalone toolkit. Let's delve into the key features and functionalities of this versatile indicator: 🎯 Key Features (summary): Market Structure Analysis : Customizable time-horizon BOS confirmation methods Adjustable CHoCH/BOS line styles Swing point highlighting Color customization Liquidity Heatmap: Configurable look-back period Adjustable resolution Customizable scale colors Trend Lines : Look-back period settings Noise filter factor Trend line signals with color options FOMO Bubbles : Configurable look-back period Adjustable noise filter factor Customizable bubble colors 🎯 Key Features (in-depth): The Market Structure component within ILPAC ™ shows the underlying trend of the market using swing high and lows and is purely price action based. Higher Highs(HH), Higher Lows(HL) labels generally indicate an uptrend and Lower Highs(LH) and Lower Lows(LL) indicate a downtrend. The trend of the market is also determined by Change of Characters (CHoCH) and Break of Structure patterns (BOS). The Market Structure component marks out all these automatically and colours the bars on your chart for easy visualisation of trend. The Liquidity Heatmap component within ILPAC ™ visualizes areas of high and low liquidity in the market. It identifies zones where liquidity is concentrated not only at specific price levels but also over time, giving the user a 3 Dimensional view of liquidity. The heatmap colours represent different levels of liquidity, making it easy to see where large volumes of orders may exist. This component helps traders understand the liquidity landscape and make informed decisions based on potential support and resistance levels. The Trend Lines component within ILPAC ™ automatically draws trend lines based on historical price data. It identifies significant highs and lows, connecting them to form trend lines that highlight the overall market direction as well as give breakout signals as shown in the image below. The component also includes a noise filter to reduce false signals and ensure only valid trend breakouts are displayed. Customizable colour settings allow traders to personalize the visual representation of trend lines on their charts. The FOMO Bubbles component within ILPAC ™ identifies periods of market activity driven by Fear of Missing Out (FOMO). By analysing price action and volume, it highlights bubbles where traders are likely entering positions impulsively. These bubbles are displayed on the chart with customizable colours, providing a visual cue for potential overbought or oversold conditions. This component helps traders recognize and potentially capitalize on market exuberance or panic. 🎯Usage Examples: At its core, the components within ILPAC ™ were designed to operate with each other as a form of confluence and robust analysis. Typically, Price action components such as the Market Structure and Trend Lines can be used for entries while the Liquidity components like FOMO Bubbles and the Heatmap can be used to find exit points. Here are some examples of how they can be used. Trend Trading Using the Market Structure component, enter a trade during a CHoCH and set TP at key areas of liquidity using the heatmap. Users can also choose to enter into a BOS which is an indication of a trend continuation. Reversal Trading Using the Liquidity Heatmap to find areas of liquidity for possible reversals, wait for a rejection from a liquidity zone and use the Trend Line Breakout signals as confluence for an entry. Exits can be set at liquidity zones or using FOMO Bubbles as take profit signals. (These are just examples for reference, the ILPAC ™ offers significantly more possibilities for customisation and fine tuning of your trading strategy.) 🎯Conclusion: The Institutional Liquidity and Price Action Concepts™ (ILPAC) indicator by AlgoAlpha is a powerful tool for traders, offering in-depth market insights through its Market Structure, Liquidity Heatmap, Trend Lines, and FOMO Bubbles components. By integrating Price Action based analysis with Liquidity analysis, ILPAC ™ boasts a superior design for the confluence between its components, using Price Action components for entry opportunities and Liquidity based components for exit opportunities. With its highly customizable settings, this indicator caters to all trading styles, from scalping to long-term investing. By providing clear visualizations and automatic trend and liquidity detection, ILPAC ™ empowers traders to make informed decisions, enhancing their trading strategies and improving overall market understanding.

Backtest - Strategy Builder [AlgoAlpha]🟠 OVERVIEW This script by AlgoAlpha is a modular Strategy Builder designed to let traders test custom trade entry and exit logic on TradingView without writing their own Pine code. It acts as a framework where users can connect multiple external signals, chain them in sequences, and run backtests with built-in leverage, margin, and risk controls. Its main strength is flexibility—you can define up to five sequential steps for entry and exit conditions on both long and short sides, with logic connectors (AND/OR) controlling how conditions combine. This lets you test complex multi-step confirmation workflows in a controlled, visual backtesting environment. 🟠 CONCEPTS The system works by linking external signals —these can be values from other indicators, and/or custom sources—to conditional checks like “greater than,” “less than,” or “crossover.” You can stack these checks into steps , where all conditions in a step must pass before the sequence moves to the next. This creates a chain of logic that must be completed before a trade triggers. On execution, the strategy sizes positions according to your chosen leverage mode ( Cross or Isolated ) and allocation method ( Percent of equity or absolute USD value]). Liquidation prices are simulated for both modes, allowing realistic margin behaviour in testing. The script also tracks performance metrics like Sharpe, Sortino, profit factor, drawdown, and win rate in real time. 🟠 FEATURES Up to 5 sequential steps for both long and short entries, each with multiple conditions linked by AND/OR logic. Two leverage modes ( Cross and Isolated ) with independent long/short leverage multipliers. Separate multi-step exit triggers for longs and shorts, with optional TP/SL levels or opposite-side triggers for flipping positions. Position sizing by equity percent or fixed USD amount, applied before leverage. Realistic liquidation price simulation for margin testing. Built-in trade gating and validation—prevents trades if configuration rules aren’t met (e.g., no exit defined for an active side). Full performance dashboard table showing live strategy status, warnings, and metrics. Configurable bar coloring based on position side and TP/SL level drawing on chart. Integration with TradingView's strategy backtester, allowing users to view more detailed metrics and test the strategy over custom time horizons. 🟠 USAGE Add the strategy to your chart. In the settings, under Master Settings , enable longs/shorts, select leverage mode, set leverage multipliers, and define position sizing. Then, configure your Long Trigger and Short Trigger groups: turn on conditions, pick which external signal they reference, choose the comparison type, and assign them to a sequence step. For exits, use the corresponding Exit Long Trigger and Exit Short Trigger groups, with the option to link exits to opposite-side entries for auto-flips. You can also enable TP and/or SL exits with custom sources for the TP/SL levels. Once set, the strategy will simulate trades, show performance stats in the on-chart table, and highlight any configuration issues before execution. This makes it suitable for testing both simple single-signal systems and complex, multi-filtered strategies under realistic leverage and margin constraints. 🟠 EXAMPLE The backtester on its own does not contain any indicator calculation; it requires input from external indicators to function. In this example, we'll be using AlgoAlpha's Smart Signals Assistant indicator to demonstrate how to build a strategy using this script. We first define the conditions beforehand: Entry : Longs – SSA Bullish signal (strong OR weak) Shorts – SSA Bearish signal (strong OR weak) Exit Longs/Shorts: (TP/SL hit OR opposing signal fires) Other Parameters (⚠️Example only, tune this based on proper risk management and settings) Long Leverage: default (3x) Short Leverage: default (3x) Position Size: default (10% of equity) Steps Load up the required indicators (in this example, the Smart Signals Assistant). Ensure the required plots are being output by the indicator properly (signals and TP/SL levels are being plotted). Open the Strategy Builder settings and scroll down to "CONDITION SETUP"; input the signals from the external indicator. Configure the exit conditions, add in the TP/SL levels from the external indicator, and add an additional exit condition → {{Opposite Direction}} Entry Trigger. After configuring the entry and exit conditions, the strategy should now be running. You can view information on the strategy in TradingView's backtesting report and also in the Strategy Builder's information table (default top right corner). It is important to note that the strategy provided above is just an example, and the complexity of possible strategies stretches beyond what was shown in this short demonstration. Always incorporate proper risk management and ensure thorough testing before trading with live capital.

Screener (MC) [AlgoAlpha]🟠 OVERVIEW This script is a multi-symbol scanner that works as a companion to the "Momentum Concepts" indicator. It provides a comprehensive dashboard view, allowing traders to monitor the momentum signals of up to 18 different assets in real-time from a single chart. The main purpose is to offer a bird's-eye view of the market, helping you quickly identify assets with strong momentum confluence or potential reversal opportunities without having to switch between different charts. The screener displays the status of all key components from the Momentum Concepts indicator, including the Fast Oscillator, Scalper's Momentum, Momentum Impulse Oscillator, and Hidden Liquidity Flow, organizing them into a clear and easy-to-read table. 🟠 CONCEPTS The core of this screener is built upon the analytical framework of the "Momentum Concepts" indicator, which evaluates market momentum across multiple layers: short-term, medium-term, and long-term. This screener applies those complex, proprietary calculations to each symbol in your watchlist and visualizes the current state of each component. Each column in the table represents a specific aspect of momentum analysis: Fast Oscillator Columns: These columns reflect the short-term momentum. They show the immediate trend direction, whether the asset is in an overbought or oversold condition, and flag high-probability events like divergences, reversals, or diminishing momentum. Scalper's Momentum Column: This column gives insight into medium-term momentum. It distinguishes between strong, sustained moves and weakening, corrective moves, which is useful for gauging the health of a trend. Momentum Impulse Column: This column represents the dominant, long-term trend bias. It helps you understand the underlying market regime (bullish, bearish, or consolidating) to align your trades with the bigger picture. Hidden Liquidity Flow Column: This column provides a unique view into the market's underlying liquidity dynamics. It signals whether there is net buying or selling pressure and uses special coloring to highlight periods of unusually high liquidity activity, which often precedes volatile price movements. By combining these perspectives, the screener justifies its utility by enabling traders to make more informed decisions based on multi-layered signal confluence. 🟠 FEATURES This screener organizes momentum data into several key columns. Here is a breakdown of each column and its possible values: Asset: Displays the symbol for the asset being analyzed in that row. Fast Oscillator Trend: Shows the immediate, short-term momentum direction. ▲: Indicates a bullish short-term trend. ▼: Indicates a bearish short-term trend. –: Indicates a neutral or transitional state. Fast Oscillator Valuation: Measures whether the asset is in a short-term overbought or oversold state. OB: Signals an "Overbought" condition, often associated with bullish exhaustion. OS: Signals an "Oversold" condition, often associated with bearish exhaustion. Neutral: The asset is trading in a neutral zone, neither overbought nor oversold. Scalper's Momentum: Assesses the strength and direction of medium-term momentum. Strong▲: Strong bullish momentum. Weak▲: Bullish momentum exists but is weakening or corrective. Strong▼: Strong bearish momentum. Weak▼: Bearish momentum exists but is weakening or corrective. –: Neutral or no clear medium-term momentum. Momentum Impulse: Identifies the dominant, long-term trend bias. A colored background indicates that the momentum is in a strong "impulse" phase. ▲: Indicates a bullish long-term bias. ▼: Indicates a bearish long-term bias. 0: Indicates a neutral or ranging market condition. Hidden Liquidity Flow: Tracks underlying buying and selling pressure. The background color highlights periods of unusual liquidity activity. ▲: Positive liquidity flow, suggesting net buying pressure. ▼: Negative liquidity flow, suggesting net selling pressure. –: Neutral liquidity flow. Dim. Momentum: Provides an early warning that short-term momentum is beginning to fade. ● (Bullish Color): Bullish momentum is weakening. ● (Bearish Color): Bearish momentum is weakening. –: No diminishing momentum detected. Divergence: Flags classic or hidden divergences between price and the Fast Oscillator. Div▲: A bullish divergence has been detected. Div▼: A bearish divergence has been detected. –: No active divergence signal. Reversal: Signals a potential reversal when the Fast Oscillator crosses its trend line from an overbought or oversold zone. Rev▲: A bullish reversal signal has occurred. Rev▼: A bearish reversal signal has occurred. –: No active reversal signal. 🟠 USAGE The primary function of this screener is to quickly identify trading opportunities and filter setups based on momentum confluence across your watchlist. 1. Setup and Configuration: Add the indicator to your chart. Go into the script settings and populate the "Watchlist" group with the symbols you wish to monitor. Adjust the settings for the various momentum components (Fast Oscillator, Scalper's Momentum, etc.) to align with your trading strategy. These settings will be universally applied to all symbols in the screener. 2. Interpreting the Columns for Trading Decisions: Momentum Impulse & Hidden Liquidity Flow: Use these columns to establish a directional bias. A bullish "▲" in both columns on an asset suggests a strong underlying uptrend with supportive buying pressure, making it a good candidate for long positions. Scalper's Momentum: Use this for entry timing and trend health. A "Strong▲" reading can confirm the strength of an uptrend, while a shift to "Weak▲" might suggest it's time to tighten stops or look for an exit. Fast Oscillator Trend & Valuation: These are best for precise entry triggers. For a "buy the dip" strategy in an uptrend, you could wait for the Fast Oscillator to show "OS" (Oversold) and then enter when the "Trend" column flips back to "▲". Dim. Momentum: This is an excellent take-profit signal. If you are in a long position and a bullish-colored "●" appears, it's a warning that the upward move is losing steam, and you might consider closing your trade. Divergence & Reversal: These columns are for identifying potential turning points. A "Div▲" or "Rev▲" signal is a strong alert that a downtrend might be ending, making the asset a prime candidate to watch for a long entry. 3. Finding High-Probability Setups: Trend Confluence: Look for assets where multiple components show alignment. For example, an ideal long setup might show a bullish "Momentum Impulse" (▲), a "Strong▲" reading in "Scalper's Momentum," and a bullish trend in the "Fast Oscillator." This indicates that the long-term, medium-term, and short-term momentums are all in agreement. Reversal and Exhaustion: Use the "Divergence" and "Reversal" columns to spot potential turning points. A "Div▲" signal appearing in an asset that is in an oversold "Fast Oscillator Valuation" zone can be a strong indication of an upcoming bounce.

Screener (SSA) [AlgoAlpha]🟠 OVERVIEW This script is a multi-symbol screener that serves as a dashboard companion to the "Smart Signals Assistant (SSA)" indicator. Its purpose is to monitor the entire suite of SSA components—from the core signals to all confluence tools—across a customizable watchlist of up to 18 assets. By displaying the real-time status of each indicator in a single table, it allows traders to get a bird's-eye view of the market, quickly identify assets with strong trend confluence, and filter for high-probability setups without needing to switch charts. The screener is designed to mirror the modularity of the main SSA indicator, allowing you to enable or disable components in the table to match your preferred trading dashboard. 🟠 CONCEPTS The screener is built directly on the analytical framework of the Smart Signals Assistant, applying its complex, proprietary algorithms to each symbol in your watchlist and summarizing the results. The combination of these different analytical concepts is what gives the screener its utility, as it helps traders find opportunities where multiple, distinct strategies align. Each column in the table represents a core trading concept: Smart Signals: This is the primary signal engine, designed to identify potential entry points. It operates in different modes to capture both long-term swings and faster scalping opportunities. Fair Value Trail (FVT): This component provides a dynamic, volatility-adjusted baseline for the trend. It acts as a form of dynamic support or resistance, helping to confirm the validity of a trend shown by the Smart Signals. Trend Spine: This tool is designed to identify the underlying "backbone" of the market's trend. It filters out short-term price noise to provide a more stable, clear indication of the dominant market direction. Trend Bias: This measures the strength and conviction behind a trend. It helps distinguish between a strong, accelerating move and a weak, decelerating one, adding a layer of momentum analysis. Firmament Clouds: These are volatility-based bands that create dynamic overbought and oversold zones. They help identify when price is potentially overextended and due for a pullback or consolidation. Trend-Range Classifier (TRC): A machine-learning model that analyzes market characteristics to classify the current environment as either "Trending" or "Ranging." This is crucial for helping traders apply the right strategy for the current conditions. 🟠 FEATURES This screener organizes the complex data from the SSA indicator into a simple, color-coded table. Here is a breakdown of each column and its possible values: Asset: Displays the ticker symbol for the asset being analyzed. Smart Signals: Shows the latest signal from the core engine. ▲: A standard bullish signal has been detected. ▼: A standard bearish signal has been detected. ▲+: A strong bullish signal with higher conviction has been detected. ▼+: A strong bearish signal with higher conviction has been detected. Fair Value Trail: Indicates the trend direction based on the volatility trail. ▲: The FVT is in a bullish trend (acting as dynamic support). ▼: The FVT is in a bearish trend (acting as dynamic resistance). Trend Spine: Shows the direction of the core underlying trend. ▲: The underlying trend backbone is bullish. ▼: The underlying trend backbone is bearish. Trend Bias: Measures the current momentum strength. Strong▲: Strong and accelerating bullish momentum. Weak▲: Bullish momentum exists but is weakening. Strong▼: Strong and accelerating bearish momentum. Weak▼: Bearish momentum exists but is weakening. Firmament Clouds: Identifies overbought/oversold conditions relative to volatility. Very Overbought / Overbought: Price is significantly extended above its recent range. Very Oversold / Oversold: Price is significantly extended below its recent range. Neutral: Price is trading within its normal volatility range. Trend-Range Classifier: Displays the market state as determined by the ML model. Trend: The market is in a trending environment, suitable for trend-following strategies. Range: The market is in a ranging or consolidating environment, suitable for mean-reversion strategies. Exit Signal Count: Tracks the number of take-profit signals that have occurred since the last primary Smart Signal. 0, 1, 2, 3...: A numerical count of exit signals. A higher number suggests a trend may be maturing or exhausting. 🟠 USAGE The main purpose of the screener is to quickly identify assets where multiple components of the SSA system are in alignment, indicating a high-confluence trading opportunity. 1. Setup and Configuration: Add the screener to your chart. Go into the settings and populate the "Watchlist" group with the symbols you wish to monitor. Ensure the settings for the components (Time Horizon, Signal Mode, etc.) are synchronized with the settings on your main SSA indicator for consistency. 2. Interpreting the Columns for Trading Decisions: Start with the Big Picture (TRC): First, look at the "Trend-Range Classifier" column. If it shows "Trend," you should be looking for trend-following setups. If it shows "Range," you might avoid taking strong trend signals. Establish Directional Bias (Spine & Bias): For trend-following, look for assets where the "Trend Spine" and "Trend Bias" agree. A "▲" in the Spine column combined with a "Strong▲" in the Bias column indicates a healthy and robust uptrend. Time Your Entry (Smart Signals): Once you have an asset with a clear bias, watch the "Smart Signals" column for a fresh signal that aligns with that bias. A "▲+" signal appearing in an asset with a strong bullish bias across other columns is a high-confluence entry point. Add Context (FVT & Clouds): Use the "Fair Value Trail" and "Firmament Clouds" to refine your entry. A buy signal is generally stronger if the FVT is also bullish ("▲") and the price is not in a "Very Overbought" state according to the clouds. Manage the Trade (Exit Count): After entering a trade, keep an eye on the "Exit Signal Count." As the number increases, it serves as a warning that the trend is becoming extended and it might be time to take partial profits or tighten your stop-loss.

Screener (ILPAC) [AlgoAlpha]🟠 OVERVIEW This script is a powerful multi-symbol scanner designed to work as a companion to the "Institutional Liquidity & PA Concepts" (ILPAC) indicator. It allows you to monitor the key price action and liquidity signals from the ILPAC suite across a watchlist of up to 18 assets, all from a single dashboard. The primary goal of this tool is to provide a high-level market overview, enabling you to efficiently spot assets that are showing strong structural trends, interacting with key liquidity zones, or exhibiting signs of FOMO-driven volatility. Instead of switching between dozens of charts, you can use this screener to quickly filter for assets that meet your specific trading criteria based on the advanced concepts of market structure, liquidity analysis, trend lines, and market sentiment. 🟠 CONCEPTS The screener is built upon the core analytical engine of the "Institutional Liquidity & PA Concepts" indicator. It applies the proprietary algorithms of the ILPAC indicator to each symbol in your watchlist and presents the results in an easy-to-digest table. The concepts are combined to create a holistic view of the market. Each column in the table is a window into a specific trading concept: Market Structure: This is the foundation of price action analysis. The screener identifies the current market trend (bullish or bearish) by tracking swing highs and lows. It also flags critical events like a Break of Structure (BOS), which signals trend continuation, and a Change of Character (CHoCH), which suggests a potential trend reversal. Liquidity Analysis: The screener analyzes order flow to determine where significant liquidity is resting. The "Liquidity Bias" column shows the net direction of this pressure, while the "Liquidity Event" column alerts you when price interacts with these key zones, either by forming a new one or mitigating an old one. Trend Lines: This concept automates the classic technical analysis technique of drawing trend lines. The screener identifies significant swing points to form trend lines and then monitors them, alerting you to potential trend continuations or breakouts. FOMO Bubbles: This concept measures crowd psychology by identifying sudden spikes in volume and price movement that are characteristic of "Fear of Missing Out." These signals can help identify potential trend exhaustion points or the start of a speculative rally. By presenting these distinct but interconnected concepts together, the screener provides a multi-faceted view that allows traders to build a strong, confluence-based trading thesis. 🟠 FEATURES This screener organizes a vast amount of data into a simple, color-coded table. Here is a breakdown of each column and the values you can expect to see: Asset: Displays the ticker symbol for the asset being analyzed. Market Structure: Shows the dominant trend based on swing highs and lows. Bull: The asset is in a structural uptrend (making higher highs and higher lows). Bear: The asset is in a structural downtrend (making lower highs and lower lows). Detecting: The trend is neutral or a clear structure has not yet been established. Structure Event: Flags the most recent significant market structure event. Bull CHoCH: A bullish Change of Character, signaling a potential shift from a downtrend to an uptrend. Bear CHoCH: A bearish Change of Character, signaling a potential shift from an uptrend to a downtrend. Bull BOS: A bullish Break of Structure, confirming the continuation of an uptrend. Bear BOS: A bearish Break of Structure, confirming the continuation of a downtrend. –: No significant event has occurred recently. Latest Swing Label: Identifies the most recently confirmed swing point. HH: Higher High. HL: Higher Low. LH: Lower High. LL: Lower Low. –: No new swing point has been confirmed. Liquidity Bias: Measures the net direction of liquidity and its relative strength. ▲ : A bullish liquidity bias, where the number indicates the strength. ▼ : A bearish liquidity bias, where the number indicates the strength. Balanced: Liquidity is relatively balanced between buyers and sellers. Liquidity Event: Indicates recent interactions with key liquidity zones. New▲: A new bullish liquidity zone has just formed. New▼: A new bearish liquidity zone has just formed. Mit▲: Price has just tested (mitigated) a key bullish liquidity zone. Mit▼: Price has just tested (mitigated) a key bearish liquidity zone. –: No recent interaction. Trend Line: Displays the status of automatically drawn trend lines. Break▲: Price has broken above a key bearish trend line. Break▼: Price has broken below a key bullish trend line. Bull TL: Price is respecting an active bullish trend line. Bear TL: Price is respecting an active bearish trend line. –: No significant trend line is currently active. FOMO: Detects sentiment-driven price moves of varying intensity. Big▲/Med▲/Small▲: A bullish FOMO bubble has been detected (large, medium, or small). Big▼/Med▼/Small▼: A bearish FOMO bubble has been detected (large, medium, or small). –: No FOMO activity detected. 🟠 USAGE The primary way to use this screener is to quickly scan your watchlist for assets that exhibit a confluence of bullish or bearish signals, which can significantly improve the probability of a trade. 1. Setup and Configuration: Add the screener to your chart. Open the settings and populate the "Watchlist" section with the symbols you want to track. Fine-tune the input settings for each component (Market Structure, Liquidity, etc.) to match your preferred trading style. These settings will apply to all symbols in the table. 2. Interpreting the Columns for Trading Decisions: Market Structure Columns: Use the first three structure columns to define your trading bias. For a high-probability long setup, you would look for an asset with a "Bull" structure, a recent "Bull BOS" event, and a "HL" as the latest swing point. This confirms the uptrend is healthy and ongoing. Liquidity Columns: These are crucial for identifying key price levels. A strong "Liquidity Bias" can confirm your directional bias. A "Mit▲" (mitigation) event at a support level can be a powerful entry trigger, as it shows that institutional buy orders are defending that zone. Trend Line Column: This is ideal for breakout traders. A "Break▲" signal can serve as an excellent entry confirmation, especially if the overall "Market Structure" is already "Bull". FOMO Column: This column is best used for identifying potential exhaustion points. For instance, if you are in a long trade and a "Big▲" FOMO signal appears after a strong rally, it could be a sign that the move is overextended and it's a good time to consider taking profits.

Unfair Advantage Pack

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