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Swing Data - ADR% / RVol / PVol / Float % / Avg $ VolThis indicator provides a comprehensive table displaying essential swing trading metrics directly on your chart. Designed for traders who need a quick overview of stock volatility, liquidity, and volume dynamics at a glance. Key Features: ✅ ADR% (Average Daily Range Percentage) ✅ Relative Volume (RVol) ✅ Projected Intraday Volume ✅ Average Daily $ Volume (AD NYSE:V ) ✅ Float Percentage ✅ Market Capitalization ✅ LoD Distance (Low of Day distance in ATR%) ✅ Volume Buzz (current volume deviation from average) ✅ Sector & Industry classification Customization Options: ➤ Table size (tiny to large) ➤ Adjustable position: Top-Left, Top-Right, Bottom-Left, Bottom-Right ➤ Dark Mode friendly colors ➤ Toggle each metric on/off ➤ Option to add a spacing row for clear visibility Usage: This script is ideal for intraday and swing traders who monitor volume surges, float dynamics, and volatility patterns to assess tradable setups. It combines key price and volume insights with fundamentals in one clean table — saving screen space while enhancing situational awareness. Inspired by professional trading dashboards and adapted for TradingView charts.
Pine Script® indicator
by gv7938
Anchored VWAP with Bands DebugAnchored VWAP with ±1% Bands Starting at 9:00 AM This indicator calculates an Anchored Volume Weighted Average Price (VWAP) starting precisely at 9:00 AM each trading day (customizable). It plots the VWAP line alongside two dynamic bands set at ±1% above and below the VWAP. The bands help visualize potential support and resistance zones relative to the intraday VWAP anchored at market open. Key Features: Anchors VWAP calculation to user-defined start time (default 9:00 AM) Displays VWAP line in orange for easy tracking Shows upper and lower dashed bands at ±1% of VWAP in green and red, respectively Bands update dynamically with each new bar throughout the trading day Designed for intraday charts (1-minute, 5-minute, etc.) Use this tool to better assess intraday price action around VWAP and identify potential trading opportunities based on price deviations from the anchored VWAP.
Pine Script® indicator
by Nowein
Index Futures vs Cash ArbitrageThis indicator measures the statistical spread between major stock index futures and their corresponding cash indices (e.g., ES vs SPX, NQ vs NDX) using Z-score normalization. It automatically detects commonly traded index pairs (S&P 500, Nasdaq, Dow Jones, Russell 2000) and calculates a smoothed spread between futures and spot prices. A Z-score is then derived from this spread to highlight potential overpricing or underpricing conditions. Traders can use customizable thresholds to identify mean-reversion opportunities where the futures contract may be temporarily overvalued or undervalued relative to the index. The histogram highlights the direction of the Z-score (green = futures > index, red = futures < index), while built-in alerts notify users of key threshold breaches or zero-line crosses. This tool is designed for discretionary traders, pairs traders, or anyone exploring statistical arbitrage strategies between futures and spot markets. It is not a buy/sell signal by itself and should be used with additional confluence or risk management techniques.
Pine Script® indicator
by Tradenometry
CMA Technologies Phantom Divergence Engine 1Minute📢 Welcome to the frontier of algorithmic precision. 🔹 **CMA – Phantom Divergence Engine** is a specialized trading system developed under the CMA Technologies framework — a quantitative infrastructure engineered over thousands of iterations, data trials, and real-time stress environments. This engine is one of many internal systems that form the foundation of our autonomous trading architecture — a structure that prioritizes real-world applicability over theoretical perfection. --- 💼 **What makes this system different?** We don’t reveal the logic. We don’t publish blueprints. Because the edge lies not in the tool, but in how deeply it's been tested — across volatility clusters, outlier events, and structurally fragmented market phases. While most systems collapse under real-time uncertainty, **Phantom Divergence Engine** is built to absorb it — with dynamic capital control, conditional volatility adaptation, and non-indicator signal integrity. This isn’t a script you optimize. This is a structure you deploy. --- 🚫 No overfitting. 🚫 No repaints. 🚫 No curve-fitted illusions. Just a hardened core logic designed to work where most fail: **in the noise**. --- 💡 **Who are we?** We’re **CMA Technologies**, a collective of engineers, data scientists, and quants building autonomous systems that don’t guess — they execute. Our approach is based on simulation-driven design, not hopes and indicators. This video is a glimpse into one of our smaller, time-sensitive subsystems — operating under real conditions on the 1-minute chart. We don’t share strategies. We prove capability. --- 📩 **Want to collaborate or access?** We’re building a closed global network of system traders and researchers. 🌐 Website: ** (www.cmatech.co)** 📧 Email: **info@cmatech.co** 🔒 Private access available upon request. #CMA #quant #tradingbot #autonomous #nonrepaint #nondisclosure #phantomengine #1minchart #executionfirst #tradingviewquant
Pine Script® strategy
by CMATechnologies
Seasonality DOW CombinedOverall Purpose This script analyzes historical daily returns based on two specific criteria: Month of the year (January through December) Day of the week (Sunday through Saturday) It summarizes and visually displays the average historical performance of the selected asset by these criteria over multiple years. Step-by-Step Breakdown 1. Initial Settings: Defines minimum year (i_year_start) from which data analysis will start. Ensures the user is using a daily timeframe, otherwise prompts an error. Sets basic display preferences like text size and color schemes. 2. Data Collection and Variables: Initializes matrices to store and aggregate returns data: month_data_ and month_agg_: store monthly performance. dow_data_ and dow_agg_: store day-of-week performance. COUNT tracks total number of occurrences, and COUNT_POSITIVE tracks positive-return occurrences. 3. Return Calculation: Calculates daily percentage change (chg_pct_) in price: chg_pct_ = close / close - 1 Ensures it captures this data only for the specified years (year >= i_year_start). 4. Monthly Performance Calculation: Each daily return is grouped by month: matrix.set updates total returns per month. The script tracks: Monthly cumulative returns Number of occurrences (how many days recorded per month) Positive occurrences (days with positive returns) 5. Day-of-Week Performance Calculation: Similarly, daily returns are also grouped by day-of-the-week (Sunday to Saturday): Daily return values are summed per weekday. The script tracks: Cumulative returns per weekday Number of occurrences per weekday Positive occurrences per weekday 6. Visual Display (Tables): The script creates two visual tables: Left Table: Monthly Performance. Right Table: Day-of-the-Week Performance. For each table, it shows: Yearly data for each month/day. Summaries at the bottom: SUM row: Shows total accumulated returns over all selected years for each month/day. +ive row: Shows percentage (%) of times the month/day had positive returns, along with a tooltip displaying positive occurrences vs total occurrences. Cells are color-coded: Green for positive returns. Red for negative returns. Gray for neutral/no change. 7. Interpreting the Tables: Monthly Table (left side): Helps identify seasonal patterns (e.g., historically bullish/bearish months). Day-of-Week Table (right side): Helps detect recurring weekday patterns (e.g., historically bullish Mondays or bearish Fridays). Practical Use: Traders use this to: Identify patterns based on historical data. Inform trading strategies, e.g., avoiding historically bearish days/months or leveraging historically bullish periods. Example Interpretation: If the table shows consistently green (positive) for March and April, historically the asset tends to perform well during spring. Similarly, if the "Friday" column is often red, historically Fridays are bearish for this asset.
Pine Script® indicator
by Colonelmoosefudge
Crypto_in_details_MAlibCrypto_in_details_MaLib — Advanced Moving Average Library for Pine Script Overview: Crypto_in_details_MaLib is a comprehensive, performance-optimized Moving Average (MA) library designed specifically for Pine Script v6 users seeking advanced technical analysis tools. Developed by Crypto_in_details, this library consolidates the most popular and sophisticated MA calculation methods — including classical, weighted, exponential, and Hull variants — into one seamless package. Key Features: Implements a wide range of Moving Averages: SMA, EMA, WMA, RMA, VWMA, HMA, TEMA, EHMA, THMA. Designed for precision and flexibility — suitable for diverse trading strategies and indicator development. Fully typed functions compatible with Pine Script v6 standards. Simplifies your scripting workflow by providing ready-to-use MA functions via clean and easy-to-import methods. Well-documented and maintained by an experienced Pine Script developer. Why Use Crypto_in_details_MaLib? Gain access to advanced MA calculations that enhance trend analysis, smoothing, and signal accuracy. Save time on coding complex moving averages from scratch. Easily extend or combine with your own strategies or indicators for improved performance. Rely on a tested and community-driven solution backed by a prolific Pine Script author. Ideal for: Traders and developers building custom indicators or strategies requiring versatile MA techniques. Anyone looking to improve their Pine Script efficiency and code maintainability. Pine Script enthusiasts wanting a professional-grade MA toolkit.
Pine Script® library
by Crypto_in_details
VolumeFlowOscillatorLibVolume Flow Oscillator Library Overview The Volume Flow Oscillator library provides a comprehensive framework for analyzing directional volume flow in financial markets. It creates a multi-band oscillator system that transforms price and volume data into a spectrum of sensitivity bands, revealing the underlying buying and selling pressure. Technical Approach The library combines price direction with trading volume to generate an oscillator that fluctuates around a zero line, with positive values indicating buying pressure and negative values showing selling pressure. Using sophisticated ALMA (Arnaud Legoux Moving Average) smoothing techniques with asymmetric sensitivity, the library creates seven distinct bands that help identify various intensity levels of volume flow. Key Features Multi-band oscillator system with seven sensitivity levels Directional volume flow analysis combining price movement and volume Zero-line oscillation showing the balance between buying and selling pressure Asymmetric ALMA smoothing for different sensitivity on positive/negative bands Customizable lookback periods and multipliers for fine-tuning Color-coded visualization for intuitive chart reading Applications This library offers developers a versatile foundation for creating volume-based indicators that go beyond simple volume measurement to reveal the directional force behind market movements. Ideal for confirming price trends, detecting divergences, identifying volume climaxes, and assessing overall market strength.
Pine Script® library
by TheKaoticS
1
MVRV | Lyro RS📊 MVRV | Lyro RS is a powerful on-chain valuation tool designed to assess the relative market positioning of Bitcoin (BTC) or Ethereum (ETH) based on the Market Value to Realized Value (MVRV) ratio. It highlights potential undervaluation or overvaluation zones, helping traders and investors anticipate cyclical tops and bottoms. ✨ Key Features : 🔁 Dual Asset Support: Analyze either BTC or ETH with a single toggle. 📐 Dynamic MVRV Thresholds: Automatically calculates median-based bands at 50%, 64%, 125%, and 170%. 📊 Median Calculation: Period-based median MVRV for long-term trend context. 💡 Optional Smoothing: Use SMA to smooth MVRV for cleaner analysis. 🎯 Visual Threshold Alerts: Background and bar colors change based on MVRV position relative to thresholds. ⚠️ Built-in Alerts: Get notified when MVRV enters under- or overvalued territory. 📈 How It Works : 💰 MVRV Calculation: Uses data from IntoTheBlock and CoinMetrics to obtain real-time MVRV values. 🧠 Threshold Bands: Median MVRV is used as a baseline. Ratios like 50%, 64%, 125%, and 170% signal various levels of market extremes. 🎨 Visual Zones: Green zones for undervaluation and red zones for overvaluation, providing intuitive visual cues. 🛠️ Custom Highlights: Toggle individual threshold zones on/off for a cleaner view. ⚙️ Customization Options : 🔄 Switch between BTC or ETH for analysis. 📏 Adjust period length for median MVRV calculation. 🔧 Enable/disable threshold visibility (50%, 64%, 125%, 170%). 📉 Toggle smoothing to reduce noise in volatile markets. 📌 Use Cases : 🟢 Identify undervalued zones for long-term entry opportunities. 🔴 Spot potential overvaluation zones that may precede corrections. 🧭 Use in confluence with price action or macro indicators for better timing. ⚠️ Disclaimer : This indicator is for educational purposes only. It should not be used in isolation for making trading or investment decisions. Always combine with price action, fundamentals, and proper risk management.
Pine Script® indicator
by LyroRS
Regime Scope | mad_tiger_slayerRegimeScope by mad_tiger_slayer Adapt to the Market’s Mood. Trade in Sync with Regime Scope. Overview Regime Scope is an advanced multi-factor market regime identifier meticulously engineered to determine whether an asset is exhibiting trending behavior (Markup/Markdown phases) or mean-reverting dynamics (Sideways - Accumulation/Distribution). By integrating and synthesizing outputs from nine rigorously chosen statistical and volatility-based models, this tool offers a unified framework for assessing regime conditions with precision. This indicator is best used in conjunction with other tools in your trading arsenal—serving not as a standalone signal generator, but as a high-value filter for confluence and strategic alignment. Whether you're trading breakouts, reversals, or mean-reversion setups, Regime Scope can elevate your system’s contextual awareness and execution timing. How It Works – Part 1 Regime Scope calculates a composite "regime score" by normalizing and averaging a range of volatility and statistical measures. This score, which ranges between -1 and +1, indicates the likelihood of the market being in a trending versus mean-reverting state. Values near +1 suggest a strong trending environment. Values near -1 suggest strong mean-reversion (sideways, volatile) conditions. Values between -0.30 and +0.30 are considered neutral and indicate choppy or range-bound market behavior. When the average regime score crosses above the upper threshold, the asset likely enters a trending state. When it crosses below the lower threshold, the market likely shifts to a volatile, mean-reverting state. The histogram and dynamic background color provide an intuitive visual guide to the current regime. How It Works – Part 2: Components Each of the following sub-models has been carefully selected for its contribution to understanding price behavior. All components are normalized to create a consistent, unified score: Phillips-Perron Test: Detects the presence of a unit root to infer stationarity and mean-reverting characteristics. Hurst Exponent: Measures long-term memory in a time series to identify persistence or anti-persistence. KPSS Test: Tests for level stationarity to contrast against unit-root behavior and validate trending assumptions. GARCH Volatility: Captures volatility clustering and regime shifts in conditional variance. Wavelet Transform: Decomposes price action into time-frequency space to extract non-linear and localized dynamics. Half-Life of Mean Reversion: Estimates the speed at which price returns to its mean, enhancing the timing of reversion plays. Augmented Dickey-Fuller (ADF) Test: Statistically verifies whether a series exhibits mean-reverting tendencies. Garman-Klass-Yang-Zhang Volatility: A robust historical volatility measure using open-high-low-close data. ADX (Average Directional Index): A classic technical tool for quantifying the strength of trend directionality. How It Works – Part 3: Output Interpretation All sub-models are normalized and synthesized into a single histogram plot shown in the lower chart panel. +1.0 to +0.30: Indicates high probability of a directional, trending market. -1.0 to -0.30: Indicates high probability of a sideways, mean-reverting regime. -0.30 to +0.30: Suggests a neutral, uncertain market condition. Transitions above or below these thresholds signal regime shifts. Background shading adapts in real-time to visually reflect regime classification. Features Customizable thresholds to fine-tune sensitivity for regime classification. Visual overlay positioning (choose from top-left, bottom-right, etc.). Toggleable reference lines for regime thresholds. Cross-timeframe consistency through dynamic normalization. Each sub-model includes adjustable settings for personalized optimization. Use Cases Dynamically switch between trend-following and mean-reversion strategies. Filter out choppy, low-probability zones by avoiding neutral regime periods. Use regime score as confluence with entry/exit signals from other indicators. Adapt strategies across timeframes—works well from scalping to swing trading. Best used on timeframes ≥12H for macro regime context, but scalpers can benefit by using it on shorter windows with tuned parameters. Scalping Use Case Overlay the regime score on low timeframes (e.g., 1m–15m) and use it to avoid high chop zones or confirm breakout volume spikes during trending periods. Long-Term Use Case On 1D–1W charts, Regime Scope can filter false breakouts and confirm macro trend alignment for position trades or swing setups. Tip Combine Regime Scope with traditional technical tools like RSI, MACD, Bollinger Bands, or moving average crossovers to enhance strategic coherence. For example, only act on breakout or trend-following signals when the regime score exceeds the upper threshold, confirming a high-trend environment. Conversely, mean-reversion strategies like fading RSI extremes or trading Bollinger Band bounces work best when the regime score is in the lower range. Aligning your tactical entries with the broader regime can significantly reduce false signals, enhance trade probability, and improve overall system robustness.
Pine Script® indicator
by mad_tiger_slayer
Anchored Probability Cone by TenozenFirst of all, credit to @nasu_is_gaji for the open source code of Log-Normal Price Forecast! He teaches me alot on how to use polylines and inverse normal distribution from his indicator, so check it out! What is this indicator all about? This indicator draws a probability cone that visualizes possible future price ranges with varying levels of statistical confidence using Inverse Normal Distribution , anchored to the start of a selected timeframe (4h, W, M, etc.) Feutures: Anchored Cone: Forecasts begin at the first bar of each chosen higher timeframe, offering a consistent point for analysis. Drift & Volatility-Based Forecast: Uses log returns to estimate market volatility (smoothed using VWMA) and incorporates a trend angle that users can set manually. Probabilistic Price Bands: Displays price ranges with 5 customizable confidence levels (e.g., 30%, 68%, 87%, 99%, 99,9%). Dynamic Updating: Recalculates and redraws the cone at the start of each new anchor period. How to use: Choose the Anchored Timeframe (PineScript only be able to forecast 500 bars in the future, so if it doesn't plot, try adjusting to a lower anchored period). You can set the Model Length, 100 sample is the default. The higher the sample size, the higher the bias towards the overall volatility. So better set the sample size in a balanced manner. If the market is inside the 30% conifidence zone (gray color), most likely the market is sideways. If it's outside the 30% confidence zone, that means it would tend to trend and reach the other probability levels. Always follow the trend, don't ever try to trade mean reversions if you don't know what you're doing, as mean reversion trades are riskier. That's all guys! I hope this indicator helps! If there's any suggestions, I'm open for it! Thanks and goodluck on your trading journey!
Pine Script® indicator
by Tenozen
Annual Return to Margin\ Briefly\ \ Annual Return to Margin\ shows what annual yield (annualized %) an asset would generate at the current price by expiry, comparing that yield with the margin requirement. \ What the indicator calculates\ Formula: AR = close / tick\_size × tick\_value / margin / days\_to\_LTD × 365 × 100 % where close – Closing price of the current bar tick\_size – Minimum price step (tick) tick\_value – Monetary value of one tick in the contract currency margin – Margin requirement days\_to\_LTD – Number of calendar days until the last trading day (LTD) 365 – Conversion to an annual value | \ Idea:\ we compare the price increase (in ticks × tick value) with the amount of capital “frozen” as margin, and annualize it. \ Settings (available in the indicator panel)\ \ Margin\ — \ float\ – Margin requirement per contract. \ Tick Size\ — \ float\ – Tick size (price step). \ Tick Value\ — \ float\ – Monetary value of one tick. \ LTD (Last Trading Day)\ — \ datetime\ – Date of the contract’s last trading day. All fields can be changed on the fly — the indicator instantly recalculates the result for each bar.
Pine Script® indicator
by kni85
Nowein-Anchored VWAP with 1% Bands Anchored VWAP with ±1% Bands Starting at 9:00 AM This indicator calculates an Anchored Volume Weighted Average Price (VWAP) starting precisely at 9:00 AM each trading day (customizable). It plots the VWAP line alongside two dynamic bands set at ±1% above and below the VWAP. The bands help visualize potential support and resistance zones relative to the intraday VWAP anchored at market open. Key Features: Anchors VWAP calculation to user-defined start time (default 9:00 AM) Displays VWAP line in orange for easy tracking Shows upper and lower dashed bands at ±1% of VWAP in green and red, respectively Bands update dynamically with each new bar throughout the trading day Designed for intraday charts (1-minute, 5-minute, etc.) Use this tool to better assess intraday price action around VWAP and identify potential trading opportunities based on price deviations from the anchored VWAP.
Pine Script® indicator
by Nowein
CANSLIM Từng Bước"CANSLIM Step-by-Step" Indicator Description for TradingView CANSLIM Step-by-Step - Your Companion for Evaluating Stocks with the CANSLIM Methodology Welcome, investors, to "CANSLIM Step-by-Step"! This indicator is designed to assist you in analyzing and evaluating stocks based on the seven core criteria of William J. O'Neil's renowned CANSLIM investment methodology. Purpose of the Indicator: This tool is not intended to provide fully automated buy/sell recommendations. Instead, it focuses on "digitizing" and visualizing each step in the CANSLIM evaluation process, helping you gain a more comprehensive and detailed overview of potential stocks. Key Features: Evaluation of 7 CANSLIM Criteria: C (Current Quarterly Earnings): Allows manual input for the latest quarterly EPS growth (%) and positive EPS status. It also attempts to fetch data automatically (which may not be stable for all symbols) for comparison. A (Annual Earnings & ROE): Prioritizes manual input for annual EPS growth rate (CAGR) and current ROE to ensure accuracy. N (New Highs): Automatically analyzes price action from the chart to determine if the stock is near or making a new 52-week high. S (Supply and Demand - Volume): Automatically analyzes current trading volume against its average to detect significant surges. L (Leader or Laggard): You evaluate and input whether the stock is a market or industry leader. I (Institutional Sponsorship): You evaluate and input the quality and quantity of significant institutional ownership. M (Market Direction): Automatically analyzes the trend of a reference market index (e.g., VNINDEX) using moving averages. Prioritized Manual Input for Financial Data: For criteria C and A, the indicator allows and encourages manual input to ensure the highest accuracy, given the inherent limitations of automatically accessing consistently updated financial data via Pine Script. "Super Compact" Summary Table: Clearly displays the status (Pass/Fail/N/A) of each criterion using color codes. Provides specific values for each criterion (e.g., growth percentage, distance to 52-week high, volume ratio). Aggregates a total score (out of 7) and a star rating (0 to 7 stars) for a quick overview of the stock's CANSLIM compliance. Customizable Thresholds: You can adjust the evaluation thresholds for various criteria (e.g., minimum EPS growth %, minimum ROE %) to suit your risk appetite and personal standards. How to Use Effectively: Step 1: Select the stock symbol you wish to analyze. Step 2: Open the indicator's settings: Manually input your research findings for criteria C, A, L, and I. Adjust thresholds and parameters for N, S, and M if needed. Select the appropriate market index symbol for criterion M. Step 3: Observe the summary table in the bottom-right corner of your screen for the overall assessment and detailed breakdown of each criterion. "CANSLIM Step-by-Step" is a companion tool designed to help you systematize your stock evaluation process according to one of the most successful investment methodologies. Combine this indicator with your knowledge and experience to make informed investment decisions! Commitment to Ongoing Development We wish to share that the current "CANSLIM Step-by-Step" indicator is the initial version in our journey to build a more comprehensive CANSLIM stock evaluation support tool. Our vision is to continuously develop and enhance this indicator with the following goals: Increase Automation Capabilities: Explore solutions to automatically update certain basic financial data (for criteria C, A) more reliably and consistently, within the technical limits of Pine Script and available data sources. Add Deeper Analytical Features: Such as visualizing changes in criteria over time, or comparisons with industry peers (where feasible). Improve User Interface: Make data input and tracking even more intuitive and convenient. Listen to and Integrate Community Feedback: We highly value all user feedback, bug reports, and feature suggestions to make "CANSLIM Step-by-Step" an increasingly useful tool. This is a dedicated project, and we are committed to continually working to make "CANSLIM Step-by-Step" an even more powerful assistant for investors following the CANSLIM philosophy.
Pine Script® indicator
by ngoc_thach_inves
AQPRO Block Force 📝 INTRODUCTION AQPRO Block Force is a powerful trading tool designed to identify and track Orderblocks (OBs) in real-time based on Fair Value Gap (FVG) principles. This indicator employs quite strict yet effective FVG filtering criteria to ensure only significant OBs are displayed, avoiding minor inefficiencies or duplicates within the same impulse or corrective moves. Each OB adapts dynamically to price action and can be categorized as Classic, Strong, or Extreme, based on proprietary conditions and best ideas from SMC (Smart Money Concepts). In addition to plotting Orderblocks, the indicator offers useful filtering systems like an Age Filter to ensure cleanliness of the OB data on the chart and prevent old, irrelevant OBs from obstructing the chart. Users can also enable MTF (Multi-Timeframe) functionality to view OBs from other timeframes, providing a comprehensive analysis across multiple levels of market structure. With extensive customization options, AQPRO Block Force allows traders to tailor the visuals and behavior to fit their specific trading preferences. This indicator does not parse any instituotinal data, order books and other fancy financial sources for finding order blocks nor it uses them for confirmation purposes. Calculations algorithms of order blocks are based purely on current asset's price history. IMPORTANT NOTE: in the sections below term 'quality' will be applied to orderblocks quite a number of times. By 'quality' in the context of orderblocks we mean the reaction of price upon the sweep of orderblock. Basically, if the price reverses after reaching the orderblock, this orderblock is considered to be of high quality. Definition for low -quality orderblock can be deducted by analogy. 🎯 PURPOSE OF USAGE This indicator serves one and only purpose — help traders identify most lucrative institutional orderblocks on the chart in real time. Even though event of price reaching an orderblock cannot be considered as a sole signal in many trading strategies without proper confirmation, such event nevertheless is quite important in SMC-based trading, because when price sweeps OB it usually means, that a reversal will soon follow, but, of course, this is not the case every time. Traders should not expect from this indicator detection of perfect orderblocks, which would surely revese the price on encounter, but they can expect is a time-proven algorithm of determing orderblocks that on average produces more high-quality orderblocks than simple similar tools from open-source libraries. More in-depth advices on the usage will be given in the sections below, but for now let's summarise subgoals of the indicator: Detecting orderblocks filtered through strict FVG validation rules to improve overall quality of orderblocks; Classifying orderblocks as Classic, Strong, or Extreme based on wether or not classic orderblocks pass filtering conditions, which are based on crossing critical price levels and SMC principles like ChoCh (Change of Character); Eliminating clutter and manage chart space with the Age Filter, removing old OBs outside a user-defined age range; Utilizing MTF functionality to track significant OBs from other timeframes alongside current timeframe analysis; Providing traders with customization options for indicator's visuals to help them organize information on the chart in a clean way. ⚙️ SETTINGS OVERVIEW This indicator's customization options allow you to fully control its functionality and visuals. Below is a breakdown of the settings grouped by the exact setting sections and parameters from the indicator: 🔑 Main Settings Show OBs from current timeframe — toggles the display of OBs from the current timeframe on the chart; Show classic OBs — enables or disables the display of Classic OBs; Show strong OBs — enables or disables the display of Strong OBs, which meet the ChoCh-based filter criteria; Show extreme OBs — enables or disables the display of Extreme OBs, which exceed proprietary price level risk thresholds. ⏳ Filter: Age Use Age Filter — toggles the Age Filter, which removes old OBs based on their age; Max Age — sets the maximum age of OBs to be displayed (in bars). OBs older than this value will be hidden; Min Age — sets the minimum age of OBs to be displayed (in bars). OBs younger than this value will not be shown. 🌋 MTF Settings Show MTF OBs — toggles the display of OBs from higher timeframes; Timeframe — select the timeframe to use for MTF OB detection (e.g., 15m, 1h). ⏳ MTF / Filter: Age Use Age Filter (MTF) — toggles the Age Filter for MTF OBs; Max Age — sets the maximum age of MTF OBs to be displayed (in bars); Min Age — sets the minimum age of MTF OBs to be displayed (in bars). 🎨 Visual Settings Classic OB (Bullish) — sets the color for bullish Classic OBs; Classic OB (Bearish) — sets the color for bearish Classic OBs; Strong OB (Bullish) — sets the color for bullish Strong OBs; Strong OB (Bearish) — sets the color for bearish Strong OBs; Extreme OB (Bullish) — sets the color for bullish Extreme OBs; Extreme OB (Bearish) — sets the color for bearish Extreme OBs. 📈 APPLICATION GUIDE Application methodology of this indicator is pretty much the same as with any other indicator, whose purpose is to find and display orderblocks on the chart. However, before actually diving into the guide on application, we want to make a small step back to remind traders of the history of orderblocks as a concept, its limitations and benefits. Orderblocks themselves are essentially just zones of potential institutional interest, which if reached are expected to reverse the price in the opposite direction. 'Potential' is a suitable remark for indicator's success probability, because, as was mentioned above, orderblocks don't guarantee price reversal regardless of quality of the indicator. This is the case for the simplest of reasons — orderblocks are based solely on price history and thus are to be considered a mathematical model , degree of success of which is never 100%, because all mathematical models abide by a "golden rule of trading" : past performance doesn't guarantee future results. However, the extensive history of orderblocks clearly shows that this tool, despite being decades old, can still help traders produce market insights and improve any strategy's performance. Orderblocks can be used both as a primary source of signals and as confirmation tool, but from our experience they are better to be used as confirmation tool. Our indicator is not an exception in this matter and we advice any trader to use it mainly for confirmation purposes, because use-case of orderblocks as confirmation tools have much success stories on average than being used as primary signal source. This being said, let's return to the application guide and start reviewing the indicator from the most basic step — how it will look like when you first load it on your chart: This indicator consisis of 3 main logic blocks: Orderblock evaluation; MTF Orderblock evaluation; Orderblock post-filtering. The principles behind these logic blocks will be easy to understand for truly experiences traders, but we understand the need to explain them to a wider audience, so let's review each of these logic blocks below. ORDERBLOCK EVALUATION Principles behind our orderblock detection logic are as follows: Find FVG (Fair Value Gap) . Note: this indicator uses only three-candle FVGs and doesn't track FVGs with insidebars after third (farther) candle. If you don't know what FVG means, we recommend researching this term in the Internet, but the basic explanation is this: FVG is the formation of candles, which are positioned in a way that there are an unclosed price area between 1st and 3rd candle. Conditions: bullish FVG = high of 3rd candle < low of 1st candle AND high of 3rd candle < close of 2nd candle AND high of 2nd candle < close of 1st candle AND low of 3rd candle < low of 2nd candle ; bearish FVG = low of 3rd candle < high of 1st candle AND low of 3rd candle > close of 2nd candle AND low of 2nd candle > close of 1st candle AND high of 3rd candle > high of 2nd candle . See visual showcase of valid & invalid bullish & bearish FVGs on the screenshot below: As was shown on the screenshot above, the only correc t formation for FVGs are considered to be just like on pictures 1 and 2 (leftmost column of patterns) . Only these formations will take part in further determenings orderblocks. Send FVGs through filtering conditions. This is the truly important part. Without properly filtering FVGs we would get huge clusters of FVGs on the chart and they will not make sense to be reviewed, because there will be just too much of them and their quality will be very questionable . Even though there is a quite number of ways to filter FVGs, we decided to go with the ones we deem actually useful. For this indicator we chose two methods, that work in tandem — 1) base candle's inside bar condition and 2) single appearance on current impulse/correction line. Let's review these conditions below and start with looking at the examples of them on the screenshot below: Examples of 1st & 2nd conditions are displayed on the left and right charts respectively. The filtering logic in 1st and 2nd is quite connected and further explanation should help you understand it just enough to start trading with our indicator. Let's start with explaining the term 'base candle' and logic behind it. Base candle candle be explained quite shortly: it is the latest candle on the chart, whose high or low broke previous base candle's high or low respectively. The first candle in the time series of price data is by default considered the base candle. If any new candle after base candle doesn't overtake base candle's high or low (meaning, that this candle is inside the range of base candle), such candle is called an "inside bar" . Inside bar's term is important to understand, because FVGs, which appear inside the inside bars are usually quite useless, because price doesn't react from them, so orderblocks with such FVGs are also of bad quality as well. Clear depiction of inside bar was provided in the screenshot of conditions above on the left chart, so we won't waste time making another example. However, this is not it. Base candle, inside bars and a few other types of bars are all a part of SMC ideas and in the world of SMC there is a special term, that hold the most important place and is considered the cornerstone of SMC methodology — impulse/correction lines (valid pullbacks) . The average definition of impulse/correction lines is quite hard to understand for an average trader, but we can summarise like this: Impulse/correction line is a line, that starts at the beginning of the sequence of base candles, each new candle of which consistently updates previous base candle's respective high/low. We won't go into description of this principle because it is outside of scope of this indicator, but you can research this topic in the Internet by keywords ' impulse correction trading ' or 'valid pullback principles trading '. The general idea of usage of impulse/correction lines in the context of this indicator is that each such lines 'holds' inside at least one FVG and we need to find exactly the first FVG, while leaving all other FVGs behind, because they to be of worse quality on average. Basically, by using translating these terms into conditions from example above, we have achieved a simple yet powerful filtering system. system for FVGs, which allows us to work with orderblocks of much higher quality than average open-source indicators. If FVG passed filters, evaluate its OB. When FVG is confirmed, we can start the evaluation of its orderblock. The evaluation of orderblocks consists of several checkpoints: 1) is orderblock beyond current ChoCh* AND/OR 2) is orderblock from extreme price levels, calculated by our proprietary risk system. Let's review these checkpoints below. * ChoCh (Change of Character, fundamental SMC idea) — price level, which if broken by close of price can potentially cause a revesal of the trend to direction opposite to the the previous one. To learn more about ChoCh please research the term on the Internet, because this indicator uses its standard definition and explaining of this term goes beyond the scope of this indicator. To determine if orderblock is beyond current ChoCh levels, we need to first determine where these levels are on the chart. ChoCh levels of this indicator are calculated with a very lite approach, which is based on pivot points. You can see basic demonstration of ChoCh levels in action on the screenshot below: IMPORTANT NOTE: pivot period for pivots points inside our indicator is by default equal to 5 and cannot be changed in settings at the moment of publication. On the screenshot above you can clearly see that ChoCh levels are essentially highest/lowest pivot point levels in between certain range of bars, where price doesn't update its extremum. You can see on there screenshot a new type of line — BoS (Break of Structure). BoS is almost the same thing as ChoCh, but with one change: it is a confirmation of price updating its extremum in the same direction as it was before, while ChoCh updates price extremum in the direction opposite to which it was before . Why do these levels matter when evaluating the orderblocks? Orderblocks, which are located beyond current BoS/ChoCh levels, are of much higher quality on average than average orderblocks and they are called Strong Orderblocks . On the chart such orderblocks are marked with 'Strong OB' label inside the body of an orderblock. You can see the examples of Strong OBs on the screenshot below: That was the explanation of the 1st orderblock evaluation criteria. Now let's talk about the 2nd one. Our 2nd evaluation criteria for orderblocks is a test on whether or price is behind specific price level, which is calculated by our proprietary risk system, which is based on fundamental of statistics, such as 'standard deviation' and etc. This criteria allows us to catch orderblocks, which are located at quite extreme price levels, and mark them on trader's chart explicitly. Orderblocks, which are above our custom price levels, are called Extreme Orderblocks an are marked with 'Extreme OB' label inside orderblock's body. You can see the example of Extreme OB on the screenshot below: That was the explanation of the 2nd evaluation criteria of the orderblock. If an orderblock doesn't pass any of these two criterias, it is considered a classic orderblock. These orderblock are most common ones and have the lowest success rate among other types of orderblocks, listed above. Such orderblocks are marked with 'OB' label inside the orderblock's body. You can see the examples of classic OB on the screenshot below: This is it for orderblock evaluation logic. After doing all these steps, all orderblocks that we found are collected and displayed on the chart with their bodies and label marks. What happens after the detection of the orderblocks? All active orderblocks are being tracked in real time and their statuses are being updated as well (Strong orderblock can become Extreme orderblock and vice versa) . By an active orderblock we mean an orderblock, which wasn't swept by price's high or low. Bodies of active orderblocks are prolonged to the next candle on each new candle. If an orderblock was swept, indicator will stop prolonging this orderblock and will mark it as swept on the chart with almost hollow body and dashed border line of the orderblock's body. Also swept orderblocks lose their name label, so you won't see any text in the orderblock after it was swept, but you will see its colour. You can see the example of an active & swept orderblocks on the screenshot below: This functionality helps distinguish active orderblocks from swept ones (inactive) and make more informed decisions. MTF OB EVALUATION Principles of MTF OBs evaluation are exactly the same as they are for current timeframe's OBs. MTF OBs are displayed on the chart in same way as other OBs, but with one little change: to the right side of MTF OB's status will be postfix of the timeframe, from which this OB came from. Timeframe for MTF OBs can be chosen by user in the settings of the indicator. MTF OBs also preserve their statuses (Strong, Extreme and Classic) when displayed on the current timeframe, so you won't stack of mistakenly marked MTF OBs as Extreme just because they are far away from the price. You can see the example of MTF OBs on the screenshot below: Also MTF OBs when swept lose only their name label, but the timeframe postfix will still be there, so you could distinguish MTF OBs from OBs of the current timeframe. See the example of swept MTF OBs below: Overall MTF orderblocks is a very useful to get a sense of where the higher timeframe liquidity reside and then adjust your strategy accordingly. Taking your trades from the place of high liquidity, like orderblocks, doesn't guarantee certain solid price reaction, but it definitely provides a trader with much a greater change of 1) catching a decent price move 2) not losing money white trading against institutional players. As was stated above, we recommend using this tool as a confirmation system for your main trading strategy, because its usage as primary source of signals in the long-run is not viable, judging from historical backtest results and general public opinions of traders. ORDERBLOCK POST-FILTERING To enhance filtering capabilities of this indicator even further, we decided to add two filters, which would help reduce the amount of bad and untradeable orderblocks. These two filters are 1) age filter and 2) cancellation filter. Let's review both of them below. Talking about the age filter , this filter was designed to help get rid of old orderblocks, which clutter the chart with visual noise and make it harder to find valueable orderblocks. This filter has to parameters: min age and max age . What does age mean in the context of an orderblock? It is the distance between OB's left border's bar and current bar. If this distance is between min age and max age values, such orderblock is considered valid and age filter passes it for further evaluation, but this distance is too short or too long, age filter deletes this orderblock from the chart. You can the example of an orderblock which didn't pass age filter requirements and was deleted from the chart on the screenshot below: It is important to mention that the missing orderblock from the right chart will be appear on the chart right when its age will exceed min age parameter of age filter. The principle of work for max age parameter can be deducted by analogy: if the orderblock's age in bigger than max age value of age filter, this orderblock will be deleted from the chart . For MTF OBs we decided to their own age filter, so that it won't abide by current timeframe's restrictions, because MTF OBs are usually much older than OB from current timeframe, so they would deleted a lot of time before they even appear on the chart, if they would abide by the age filter of current timeframe. Default parameters of age filter are "max age = 500" and "min age = 0" . "Min age = 0" means that there is restrictions on the minimum age of orderblocks and they will appear on the chart as soon as the indicator validates them. That was the explanation of the age filter. Talking about the cancellation filter , this filter was intended to spot orderblocks which were extremely untradable and visually alert traders about them on the chart. In this indicator this filter works like this: for each orderblock cancellation filter creates a special price level and checks if it was broken by the close of price. This special price level consists of the farthest border. of the orderblock ( top border for bearish OBs and bottom border for bullish OBs) and a certain threshold, which is added to the farthest border. This threshold is based on the current ATR value of the asset. This filter helps detect the orderblocks which should not be considered for trading, because price has already went too far beyond the liquidity of this orderblock. Orderblocks, which are spotted by this filter, are marked with '❌' emoji on the price history. You can see the example of an orderblock which was spotted by the cancellation filter in the screenshot below: This filter is applied to both current timeframe and MTF timeframe and is NOT configurable in the settings. 🔔 ALERTS This indicator employs alerts for an event when new signal occurs on the current timeframe or on MTF timeframe. While creating the alert below 'Condition' field choose 'any alert() function call'. When this alert is triggered, it will generate this kind of message: // Alerts for current timeframe string msg_template = "EXCHANGE:ASSET, TIMEFRAME: BULLISH_OR_BEARISH OB at SWEPT_OB_BORDER_PRICE was reached." string msg_example = "BINANCE:BTCUSDT, 15m: bearish OB at 170000.00 was reached." // Alerts for MTF timeframe string msg_template_mtf = "EXCHANGE:ASSET, TIMEFRAME: BULLISH_OR_BEARISH MTF OB at SWEPT_OB_BORDER_PRICE was reached." string msg_example_mtf = "BINANCE:BTCUSDT, 15m: bearish MTF OB at 170000.00 was reached." 📌 NOTES These OBs work on any timeframe, but we would advise to to use on higher timeframes, starting from at least 15m, because liquidity from higher timeframe tends to be much valuable when deciding which orderblock to take for a trade; Use these OBs as a confirmation tool for your main strategy and refrain from using them as primary signal source. Traders, which use SMC-based strategies, will benefit from these orderblocks the most; We recommend trading only with Strong and Extreme orderblocks, because they are proved to be of much greater quality than classic orderblocks and they work quite well in mid-term and long-term trading strategies. Classic orderblocs can be used for short-term trading strategies, but even in this case these OBs cannot be blindly trusted; We strongly advise against take for a trading orderblocks, which were spotted by cancellation filter, because they are considered to be voided of liquidity; Don't forget that you can toggle different types of OBs, MTF settings and visual settings in the settings of the indicator and fine-tune them to your liking. 🏁 AFTERWORD AQPRO Block Force is an indicator which designed with idea of helping trading save time on automatically detecting valuable orderblocks on the chart, evaluate their strength and filter out bad orderblocks. These employ the best principles of SMC, including FVGs, valid pullbacks and etc. FVGs play the key role in validating the existence of a particular orderblock and work in tandem with valid pullback to determine the maximum amount of true FVGs even in the most cluttered impulse/correction moves of the price. Our filters — Age Filter and Cancellation Filter — enhance the quality of the orderblocks by allowing only the newest and liquid orderblocks to appear on the chart. Additional MTF functionality allow trader to see orderblocks from other timeframe, which can be chosen in the settings, and get a sense of where the global liquidity resides. This indicator will be a useful confirmation tool to any trading strategy, but the SMC traders will surely get the most benefits out of it. ℹ️ If you have questions about this or any other our indicator, please leave it in the comments.
Pine Script® indicator
by AlQuantumPro