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Smart Money Concept v1Smart Money Concept Indicator – Visual Interpretation Guide What Happens When Liquidity Lines Are Broken 🟩 Green Line Broken (Buy-Side Liquidity Pool Swept) - Indicates price has dipped below a previous swing low where sell stops are likely placed. - Market Makers may be triggering these stops to accumulate long positions. - Often followed by a bullish reversal. - Trader Actions: • Look for a bullish candle close after the sweep. • Confirm with nearby Bullish Order Block or Fair Value Gap. • Consider entering a Buy trade (SLH entry). - If price continues falling: Indicates trend continuation and invalidation of the buy-side liquidity zone. 🟥 Red Line Broken (Sell-Side Liquidity Pool Swept) - Indicates price has moved above a previous swing high where buy stops are likely placed. - Market Makers may be triggering these stops to accumulate short positions. - Often followed by a bearish reversal. - Trader Actions: • Look for a bearish candle close after the sweep. • Confirm with nearby Bearish Order Block or Fair Value Gap. • Consider entering a Sell trade (SLH entry). - If price continues rising: Indicates trend continuation and invalidation of the sell-side liquidity zone. Chart-Based Interpretation of Green Line Breaks In the provided DOGE/USD 15-minute chart image: - Green lines represent buy-side liquidity zones. - If these lines are broken: • It may be a stop hunt before a bullish continuation. • Or a false Break of Structure (BOS) leading to deeper retracement. - Confirmation is needed from candle structure and nearby OB/FVG zones. Is the Pink Zone a Valid Bullish Order Block? To validate the pink zone as a Bullish OB: - It should be formed by a strong down-close candle followed by a bullish move. - Price should have rallied from this zone previously. - If price is now retesting it and showing bullish reaction, it confirms validity. - If formed during low volume or price never rallied from it, it may not be valid. Smart Money Concept - Liquidity Line Breaks Explained This document explains how traders should interpret the breaking of green (buy-side) and red (sell-side) liquidity lines when using the Smart Money Concept indicator. These lines represent key liquidity pools where stop orders are likely placed. 🟩 Green Line Broken (Buy-Side Liquidity Pool Swept) When the green line is broken, it indicates: • - Price has dipped below a previous swing low where sell stops were likely placed. • - Market Makers have triggered those stops to accumulate long positions. • - This is often followed by a bullish reversal. Trader Actions: • - Look for a bullish candle close after the sweep. • - Confirm with a nearby Bullish Order Block or Fair Value Gap. • - Consider entering a Buy trade (SLH entry). 🟥 Red Line Broken (Sell-Side Liquidity Pool Swept) When the red line is broken, it indicates: • - Price has moved above a previous swing high where buy stops were likely placed. • - Market Makers have triggered those stops to accumulate short positions. • - This is often followed by a bearish reversal. Trader Actions: • - Look for a bearish candle close after the sweep. • - Confirm with a nearby Bearish Order Block or Fair Value Gap. • - Consider entering a Sell trade (SLH entry). 📌 Additional Notes • - If price continues beyond the liquidity line without reversal, it may indicate a trend continuation rather than a stop hunt. • - Always confirm with Higher Time Frame bias, Institutional Order Flow, and price reaction at the zone.
Pine Script® インジケーター
DayTraderz365の投稿
3
VWAP / ORB / VP & POCThis is an all-in-one technical analysis tool designed to give you a comprehensive view of the market on a single chart. It combines three powerful indicators—VWAP, Opening Range, and Volume Profile—to help you identify key price levels, understand intraday trends, and spot areas of high liquidity. What It Does The indicator plots three distinct components on your chart: Volume-Weighted Average Price (VWAP): A benchmark that shows the average price a security has traded at throughout the day, based on both price and volume. It's often used by institutional traders to gauge whether they are getting a good price. The script also plots standard deviation or percentage-based bands around the VWAP line, which can act as dynamic support and resistance. Opening Range Breakout (ORB): A tool that highlights the high and low of the initial trading period of a session (e.g., the first 15 minutes). The script draws lines for the opening price, range high, and range low for the rest of the session. It also colors the chart with zones to visually separate price action above, below, and within this critical opening range. Volume Profile (VP): A powerful study that shows trading activity over a set number of bars at specific price levels. Unlike traditional volume that is plotted over time, this is plotted on the price axis. It helps you instantly see where the most and least trading has occurred, identifying significant levels like the Point of Control (POC)—the single price with the most volume—and the Value Area (VA), where the majority of trading took place. How to Use It for Trading The real strength of this indicator comes from finding confluence, where two or more of its components signal the same key level. Identifying Support & Resistance: The POC, VWAP bands, Opening Range high/low, and session open price are all powerful levels to watch. When price approaches one of these levels, you can anticipate a potential reaction (a bounce or a breakout). Gauging Intraday Trend: A simple rule of thumb is to consider the intraday trend bullish when the price is trading above the VWAP and bearish when it is trading below the VWAP. Finding High-Value Zones: The Volume Profile’s Value Area (VA) shows you where the market has accepted a price. Trading within the VA is considered "fair value," while prices outside of it are "unfair." Reversals often happen when the price tries to re-enter the Value Area from the outside. Settings: Here’s a breakdown of all the settings you can change to customize the indicator to your liking. Volume Profile Settings: Number of Bars: How many of the most recent bars to use for the calculation. A higher number gives a broader profile. Row Size: The number of price levels (rows) in the profile. Higher numbers give a more detailed, granular view. Value Area Volume %: The percentage of total volume to include in the Value Area (standard is 70%). Horizontal Offset: Moves the Volume Profile further to the right to avoid overlapping with recent price action. Colors & Styles: Customize the colors for the POC line, Value Area, and the up/down volume bars. VWAP Settings: Anchor Period: Resets the VWAP calculation at the start of a new Session, Week, Month, Year, etc. You can even anchor it to corporate events like Earnings or Splits. Source: The price source used in the calculation (default is hlc3, the average of the high, low, and close). Bands Calculation Mode: Standard Deviation: The bands are based on statistical volatility. Percentage: The bands are a fixed percentage away from the VWAP line. Bands Multiplier: Sets the distance of the bands from the VWAP. You can enable and configure up to three sets of bands. ORB Settings (Opening Range) Opening Range Timeframe: The duration of the opening range (e.g., 15 for 15 minutes, 60 for the first hour). Market Session & Time Zone: Crucial for ensuring the range is calculated at the correct time for the asset you're trading. Line & Zone Styles: Full customization for the colors, thickness, and style (Solid, Dashed, Dotted) of the High, Low, and Opening Price lines, as well as the background colors for the zones above, below, and within the range.
Pine Script® インジケーター
Mereep01の投稿
7
Total Points Moved by exp3rtsThis lightweight utility tracks the total intraday range of price movement, giving you real-time insight into market activity. It calculates: 🟩 Bullish Points – Total range from bullish candles (close > open) 🟥 Bearish Points – Total range from bearish candles (close < open) 🔁 Total Points Moved (TPM) – Sum of all high–low ranges for the day Values are pulled from the 1-second chart for high precision and displayed in a compact tag in the top-right corner.
Pine Script® インジケーター
exp3rtsの投稿
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIntroduction The ICT Venom Model is one of the most advanced strategies in the ICT framework, designed for intraday trading on major US indices such as US100, US30, and US500. This model is rooted in liquidity theory, time and price dynamics, and institutional order flow. The Venom Model focuses on detecting Liquidity Sweeps, identifying Fair Value Gaps (FVG), and analyzing Market Structure Shifts (MSS). By combining these ICT core concepts, traders can filter false breakouts, capture sharp reversals, and align their entries with the real institutional liquidity flow during the New York Session. Key Highlights of ICT Venom Model : Intraday focus : Optimized for US indices (US100, US30, US500). Time element : Critical window is 08:00–09:30 AM (Venom Box). Liquidity sweep logic : Price grabs liquidity at 09:30 AM open. Confirmation tools : MSS, CISD, FVG, and Order Blocks. Dual setups : Works in both Bullish Venom and Bearish Venom conditions. At its core, the ICT Venom Strategy is a framework that explains how institutional players manipulate liquidity pools by engineering false breakouts around the initial range of the market. Between 08:00 and 09:30 AM New York time, a range called the “Venom Box” is formed. This range acts as a trap for retail traders, and once the 09:30 AM market open occurs, price usually sweeps either the high or the low of this box to collect stop-loss liquidity. After this liquidity grab, the market often reverses sharply, giving birth to a classic Bullish Venom Setup or Bearish Venom Setup The Venom Model (ICT Venom Trading Strategy) is not just a pattern recognition tool but a precise institutional trading model based on time, liquidity, and market structure. By understanding the Initial Balance Range, watching for Liquidity Sweeps, and entering trades from FVG zones or Order Blocks, traders can anticipate market reversals with high accuracy. This strategy is widely respected among ICT followers because it offers both risk management discipline and clear entry/exit conditions. In short, the Venom Model transforms liquidity manipulation into actionable trading opportunities. Bullish Setup : Bearish Setup : 🔵 How to Use The ICT Venom Model is applied by observing price behavior during the early hours of the New York session. The first step is to define the Initial Range, also called the Venom Box, which is formed between 08:00 and 09:30 AM EST. This range marks the high and low points where institutional traders often create traps for retail participants. Once the official market opens at 09:30 AM, price usually sweeps either the top or bottom of this box to collect liquidity. After this liquidity grab, the market tends to reverse in alignment with the true directional bias. To confirm the setup, traders look for signals such as a Market Structure Shift (MSS), Change in State of Delivery (CISD), or the appearance of a Fair Value Gap (FVG). These elements validate the reversal and provide precise levels for trade execution. 🟣 Bullish Setup In a Bullish Venom Setup, the market first sweeps the low of the Venom Box after 09:30 AM, triggering sell-side liquidity collection. This downward move is often sharp and deceptive, designed to stop out retail long positions and attract new sellers. Once liquidity is taken, the market typically shifts direction, forming an MSS or CISD that signals a reversal to the upside. Traders then wait for price to retrace into a Fair Value Gap or a demand-side Order Block created during the reversal leg. This retracement offers the ideal entry point for long positions. Stop-loss placement should be just below the liquidity sweep low, while profit targets are set at the Venom Box high and, if momentum continues, at higher session or daily highs. 🟣 Bearish Setup In a Bearish Venom Setup, the process is similar but reversed. After the Initial Range is defined, if price breaks above the Venom Box high following the 09:30 AM open, it signals a false breakout designed to collect buy-side liquidity. This move usually traps eager buyers and clears out stop-losses above the high. After the liquidity sweep, confirmation comes through an MSS or CISD pointing to a reversal downward. At this stage, traders anticipate a retracement into a Fair Value Gap or a supply-side Order Block formed during the reversal. Short entries are taken within this zone, with stop-loss positioned just above the liquidity sweep high. The logical profit targets include the Venom Box low and, in stronger bearish momentum, deeper session or daily lows. 🔵 Settings Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses. Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price. FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps. Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal. CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart. 🔵 Conclusion The ICT Venom Model is more than just a reversal setup; it is a complete intraday trading framework that blends liquidity theory, time precision, and market structure analysis. By focusing on the Initial Range between 08:00 and 09:30 AM New York time and observing how price reacts at the 09:30 AM open, traders can identify liquidity sweeps that reveal institutional intentions. Whether in a Bullish Venom Setup or a Bearish Venom Setup, the model allows for precise entries through Fair Value Gaps (FVGs) and Order Blocks, while maintaining clear risk management with well-defined stop-loss and target levels. Ultimately, the ICT Venom Model provides traders with a structured way to filter false moves and align their trades with institutional order flow. Its strength lies in transforming liquidity manipulation into actionable opportunities, giving intraday traders an edge in timing, accuracy, and consistency. For those who master its logic, the Venom Model becomes not only a strategy for entry and exit, but also a deeper framework for understanding how liquidity truly drives price in the New York session.
Pine Script® インジケーター
TFlabの投稿
12
Quantile-Based Adaptive Detection🙏🏻 Dedicated to John Tukey. He invented the boxplot, and I finalized it. QBAD (Quantile-Based Adaptive Detection) is ‘the’ adaptive (also optionally weighted = ready for timeseries) boxplot with more senseful fences. Instead of hardcoded multipliers for outer fences, I base em on a set of quantile-based asymmetry metrics (you can view it as an ‘algorithmic’ counter part of central & standardized moments). So outer bands are Not hardcoded, not optimized, not cross-validated etc, simply calculated at O(nlogn). You can use it literally everywhere in any context with any continuous data, in any task that requires statistical control, novelty || outlier detection, without worrying and doubting the sense in arbitrary chosen thresholds. Obviously, given the robust nature of quantiles, it would fit best the cases where data has problems. The thresholds are: Basis: the model of the data (median in our case); Deviations: represent typical spread around basis, together form “value” in general sense; Extensions: estimate data’s extremums via combination of quantile-based asymmetry metrics without relying on actual blunt min and max, together form “range” / ”frame”. Datapoints outside the frame/range are novelties or outliers; Limits: based also on quantile asymmetry metrics, estimate the bounds within which values can ‘ever’ emerge given the current data generating process stays the same, together form “field”. Datapoints outside the field are very rare, happen when a significant change/structural break happens in current data-generating process, or when a corrupt datapoint emerges. … The first part of the post is for locals xd, the second is for the wanderers/wizards/creators/: First part: In terms of markets, mostly u gotta worry about dem instruments that represent crypto & FX assets: it’s either activity hence data sources there are decentralized, or data is fishy. For a higher algocomplexity cost O(nlong), unlike MBAD that is 0(n), this thing (a control system in fact) works better with ishy data (contaminated with wrong values, incomplete, missing values etc). Read about the “ breakdown point of an estimator ” if you wanna understand it. Even with good data, in cases when you have multiple instruments that represent the same asset, e.g. CL and BRN futures, and for some reason you wanna skip constructing a proper index of em (while you should), QBAD should be better put on each instrument individually. Another reason to use this algo-based rather than math-based tool, might be in cases when data quality is all good, but the actual causal processes that generate the data are a bit inconsistent and/or possess ‘increased’ activity in a way. SO in high volatility periods, this tool should provide better. In terms of built-ins you got 2 weightings: by sequence and by inferred volume delta. The former should be ‘On’ all the time when you work with timeseries, unless for a reason you want to consciously turn it off for a reason. The latter, you gotta keep it ‘On’ unless you apply the tool on another dataset that ain’t got that particular additional dimension. Ain’t matter the way you gonna use it, moving windows, cumulative windows with or without anchors, that’s your freedom of will, but some stuff stays the same: Basis and deviations are “value” levels. From process control perspective, if you pls, it makes sense to Not only fade or push based on these levels, but to also do nothing when things are ambiguous and/or don’t require your intervention Extensions and limits are extreme levels. Here you either push or fade, doing nothing is not an option, these are decisive points in all the meanings Another important thing, lately I started to see one kind of trend here on tradingview as well and in general in near quant sources, of applying averages, percentiles etc ‘on’ other stationary metrics, so called “indicators”. And I mean not for diagnostic or development reasons, for decision making xd This is not the evil crime ofc, but hillbilly af, cuz the metrics are stationary it means that you can model em, fit a distribution, like do smth sharper. Worst case you have Bayesian statistics armed with high density intervals and equal tail intervals, and even some others. All this stuff is not hard to do, if u aint’t doing it, it’s on you. So what I’m saying is it makes sense to apply QBAD on returns ‘of your strategy’, on volume delta, but Not on other metrics that already do calculations over their own moving windows. ... Second part: Looks like some finna start to have lil suspicions, that ‘maybe’ after all math entities in reality are more like blueprints, while actual representations are physical/mechanical/algorithmic. Std & centralized moments is a math entity that represents location, scale & asymmetry info, and we can use it no problem, when things are legit and consistent especially. Real world stuff tho sometimes deviates from that ideal, so we need smth more handy and real. Add to the mix the algo counter part of means: quantiles. Unlike the legacy quantile-based asymmetry metrics from the previous century (check quantile skewness & kurtosis), I don’t use arbitrary sets of quantiles, instead we get a binary pattern that is totally geometric & natural (check the code if interested, I made it very damn explicit). In spirit with math based central & standardized moments, each consequent pair is wider empathizing tail info more and more for each higher order metric. Unlike the classic box plot, where inner thresholds are quartiles and the rest are based on em, here the basis is median (minimises L1), I base inner thresholds on it, and we continue the pattern by basing the further set of levels on the previous set. So unlike the classic box plot, here we have coherency in construction, symmetry. Another thing to pay attention to, tho for some reason ain’t many talk about it, it’s not conceptually right to think that “you got data and you apply std moments on it”. No, you apply it to ‘centered around smth’ data. That ‘smth’ should minimize L2 error in case of math, L1 error in case of algo, and L0 error in case of learning/MLish/optimizational/whatever-you-cal-it stuff. So in the case of L0, that’s actually the ‘mode’ of KDE, but that’s for another time. Anyways, in case of L2 it’s mean, so we center data around mean, and apply std moments on residuals. That’s the precise way of framing it. If you understand this, suddenly very interesting details like 0th and 1st central moments start to make sense. In case of quantiles, we center data around the median, and do further processing on residuals, same. Oth moment (I call it init) is always 1, tho it’s interesting to extrapolate backwards the sequence for higher order moments construction, to understand how we actually end up with this zero. 1st moment (I call it bias) of residuals would be zero if you match centering and residuals analysis methods. But for some reason you didn’t do that (e.g centered data around midhinge or mean and applied QBAD on the centered data), you have to account for that bias. Realizing stuff > understanding stuff Learning 2981234 human invented fields < realizing the same unified principles how the Universe works ∞
Pine Script® インジケーター
gorx1の投稿
3
Gamma Exposure Levels by OMG (Oh My Gamma)OMG (Oh My Gamma) - Daily GEX Levels An operational framework for Gamma analysis with daily data. Indicator's Purpose & Demo Data This indicator plots key strategic levels derived from Gamma Exposure (GEX) analysis. It showcases the operational logic of OhMyGamma analytical engine. IMPORTANT: The levels plotted by this public script are based on a past date's snapshot for demonstration purposes. They are not valid for live trading and will not update automatically. The real edge comes from using the fresh data structure provided daily. How to Read the Levels This indicator is designed to provide actionable intelligence, not just data. Here's how to read it: The Levels: Each line represents a key strategic zone (Zero Gamma, Call/Put Walls, etc.) where a market reaction is statistically probable due to dealer hedging flows. Line Thickness = Strategic Importance: The thickness of each line directly corresponds to its strategic rating. Thicker, solid lines represent higher-conviction zones. Labels & Tooltips: Hover over a level's label on your chart to see its full description, confluences, and strategic rating. Pro Tip: The Power of Confluence This indicator is not a standalone "system". It's an institutional-grade intelligence layer. Its predictive power increases exponentially when used to find confluence with your own analysis. The highest-probability trades occur when a key Gamma level aligns with: Price Action: Key support/resistance zones, order blocks, or liquidity pools. Volumetric Indicators: High/Low Volume Nodes (HVN/LVN) from Volume Profile, VWAP, and Anchored VWAP. Use these levels to confirm your setups and gain the conviction to act. How to Get the Daily Updated Script This indicator requires a new Pine Script code each day to load the current session's data. To get the daily updated code feel free to visit www.ohmygamma.com Feedback & Suggestions This tool is built for the community. Suggestions for improvements and new features are highly welcome and help the project evolve. Feel free to get in touch via the contact form on the website. Disclaimer: This tool is for informational and educational purposes only. Trading involves significant risk. The authors assume no responsibility for any trading decisions.
Pine Script® インジケーター
StefanoRaviolaの投稿
ICT SMC — OB & FVG (Enhanced v6)This indicator is a comprehensive implementation of ICT Smart Money Concepts (SMC), focusing on Order Blocks (OB) and Fair Value Gaps (FVG) with enhanced detection logic and session-based filtering. 🔍 Key Features Impulse-Based OB Detection: Identifies bullish and bearish order blocks using configurable impulse bar logic and ATR-based movement thresholds. Fair Value Gap Detection: Highlights FVGs based on price displacement logic, helping traders spot potential inefficiencies in price action. Session Filtering: Allows users to filter signals based on major trading sessions (Sydney, Tokyo, London, New York). Trend & Volume Confirmation: Integrates EMA slope, market structure breaks, and volume analysis to score trade signals. Visual Zones: Displays OB and FVG zones using colored boxes with customizable transparency and color settings. Signal Alerts: Generates long/short trade signals based on a scoring system and session validation, with built-in alert conditions. ⚙️ Customization Adjustable EMA and ATR lengths Configurable impulse bar count and movement thresholds Toggleable session filters Custom colors for OB and FVG zones 📈 Use Cases This tool is ideal for traders who follow ICT concepts and want a visual, automated way to identify high-probability zones and trade setups based on smart money principles.
Pine Script® インジケーター
DayTraderz365の投稿
Adaptive HMA SignalsAdaptive HMA Signals This indicator pairs nicely with the Contrarian 100 MA and can be located here: Overview The "Adaptive HMA Signals" indicator is a sophisticated technical analysis tool designed for traders aiming to capture trend changes with precision. By leveraging Hull Moving Averages (HMAs) that adapt dynamically to market conditions (volatility or volume), this indicator generates actionable buy and sell signals based on price interactions with adaptive HMAs and slope analysis. Optimized for daily charts, it is highly customizable and suitable for trading forex, stocks, cryptocurrencies, or other assets. The indicator is ideal for swing traders and trend followers seeking to time entries and exits effectively. How It Works The indicator uses two adaptive HMAs—a primary HMA and a minor HMA—whose periods adjust dynamically based on user-selected market conditions (volatility via ATR or volume via RSI). It calculates the slope of the primary HMA to identify trend strength and generates exit signals when the price crosses the minor HMA under specific slope conditions. Signals are plotted as circles above or below the price, with inverted colors (white for buy, blue for sell) to enhance visibility on any chart background. Key Components Adaptive HMAs: Two HMAs (primary and minor) with dynamic periods that adjust based on volatility (ATR-based) or volume (RSI-based) conditions. Periods range between user-defined minimum and maximum values, adapting by a fixed percentage (3.141%). Slope Analysis: Calculates the slope of the primary HMA over a 34-bar period to gauge trend direction and strength, normalized using market range data. Signal Logic: Generates buy signals (white circles) when the price falls below the minor HMA with a flat or declining slope (indicating a potential trend reversal) and sell signals (blue circles) when the price rises above the minor HMA with a flat or rising slope. Signal Visualization: Plots signals at an offset based on ATR for clarity, using semi-transparent colors to avoid chart clutter. Mathematical Concepts Dynamic Period Adjustment: Primary HMA period adjusts between minLength (default: 144) and maxLength (default: 200). Minor HMA period adjusts between minorMin (default: 55) and minorMax (default: 89). Periods decrease by 3.141% under high volatility/volume and increase otherwise. HMA Calculation: Uses the Hull Moving Average formula: WMA(2 * WMA(src, length/2) - WMA(src, length), sqrt(length)). Provides a smoother, faster-responding moving average compared to traditional MAs. Slope Calculation: Computes the slope of the primary HMA using a 34-bar period, normalized by the market range (highest high - lowest low over 34 bars). Slope angle is converted to degrees using arccosine for intuitive trend strength interpretation. Signal Conditions: Buy: Slope ≥ 17° (flat or rising), price < minor HMA, low volatility/volume. Sell: Slope ≤ -17° (flat or declining), price > minor HMA, low volatility/volume. Signals are triggered only on confirmed bars to avoid repainting. Entry and Exit Rules Buy Signal (White Circle): Triggered when the price crosses below the minor HMA, the slope of the primary HMA is flat or rising (≥17°), and volatility/volume is low. The signal appears as a white circle above the price bar, offset by 0.72 * ATR(5). Sell Signal (Blue Circle): Triggered when the price crosses above the minor HMA, the slope of the primary HMA is flat or declining (≤-17°), and volatility/volume is low. The signal appears as a blue circle below the price bar, offset by 0.72 * ATR(5). Exit Rules: Exit a buy position on a sell signal and vice versa. Combine with other tools (e.g., support/resistance, RSI) for additional confirmation. Always apply proper risk management. Recommended Usage The "Adaptive HMA Signals" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to period lengths. It performs best in trending or range-bound markets with clear reversal points. Traders should: Backtest the indicator on their chosen asset and timeframe to validate signal reliability. Combine with other technical tools (e.g., trendlines, Fibonacci retracements) for stronger trade setups. Adjust minLength, maxLength, minorMin, and minorMax based on market volatility and timeframe. Use the Charger input to toggle between volatility (ATR) and volume (RSI) adaptation for optimal performance in specific market conditions. Customization Options Source: Choose the price source (default: close). Show Signals: Toggle visibility of buy/sell signals (default: true). Charger: Select adaptation trigger—Volatility (ATR-based) or Volume (RSI-based) (default: Volatility). Main HMA Periods: Set minimum (default: 144) and maximum (default: 200) periods for the primary HMA. Minor HMA Periods: Set minimum (default: 55) and maximum (default: 89) periods for the minor HMA. Slope Period: Fixed at 34 bars for slope calculation, adjustable via code if needed. Why Use This Indicator? The "Adaptive HMA Signals" indicator combines the responsiveness of HMAs with dynamic adaptation to market conditions, offering a robust tool for identifying trend reversals. Its clear visual signals, customizable periods, and adaptive logic make it versatile for various markets and trading styles. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to time entries and exits with precision. Tips for Users Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust period lengths for non-daily charts). Use in conjunction with price action or other indicators (e.g., RSI, MACD) for stronger trade confirmation. Monitor volatility/volume conditions to ensure the Charger setting aligns with market dynamics. Ensure your chart timeframe aligns with the selected period lengths for accurate signal generation. Apply strict risk management to protect against false signals in choppy markets. Happy trading with the Adaptive HMA Signals indicator! Share your feedback and strategies in the TradingView community!
Pine Script® インジケーター
chuckaschultzの投稿
MAs+Engulfing O caminho das Criptos This indicator overlays multiple moving averages (EMAs 20/50/100/200 and SMA 200) and highlights bullish/bearish engulfing candles by dynamically coloring the candle body. When a bullish engulfing is detected, the candle appears as a strong dark green; for bearish engulfing, a more vivid red. Normal candles keep classic lime/red colors. Visual alerts and bar coloring make price-action patterns instantly visible. Includes built-in alert conditions for both patterns, supporting both trading automation and education. The tool upgrades trend-following setups by combining structure with automatic price action insights. Este indicador combina médias móveis (EMAs de 20/50/100/200 e SMA 200) com detecção de engolfo de alta/baixa, colorindo o candle automaticamente: engolfo de alta com verde escuro, engolfo de baixa com vermelho destacado. Inclui alertas automáticos para ambos os padrões, perfeito para análise visual, estratégia, ou ensino.
Pine Script® インジケーター
igorfreitasnfの投稿
CVD Divergences (cdikici71 x tncylyv)CVD Divergence Summary This indicator brings the powerful and creative divergence detection logic from @cdikici71's popular "cd_RSI_Divergence_Cx" script to the world of volume analysis. While RSI is a fantastic momentum tool, I personally choose to rely on volume as a primary source of truth. This script was born from the desire to see how true buying and selling pressure—measured by Cumulative Volume Delta (CVD)—diverges from price action. It takes the brilliant engine built by @cdikici71 and applies it to CVD, offering a unique look into market conviction. What is Cumulative Volume Delta (CVD)? CVD is a running total of volume that transacted at the ask price (buying) minus volume that transacted at the bid price (selling). In simple terms, it shows whether buyers or sellers have been more aggressive over a period. A rising CVD suggests net buying pressure, while a falling CVD suggests net selling pressure. Core Features • Divergence Engine by @cdikici71: The script uses the exact same two powerful methods for finding divergences as the original RSI version: o Alignment with HTF Sweep: The default, cleaner method for finding high-probability divergences. o All: A more sensitive method that finds all possible divergences. • Anchored CVD Periods: You can choose to reset the CVD calculation on a Daily, Weekly, or Monthly basis to analyze buying and selling pressure within specific periods. Or, you can leave it on Continuous to see the all-time flow. • Automatic Higher Timeframe (HTF) Alignment: To remove the guesswork, the "Auto-Align HTF" option will automatically select a logical higher timeframe for divergence analysis based on your current chart (e.g., 15m chart uses 4H for divergence, 1H chart uses 1D, etc.). You can also turn this off for full manual control. • Fully Customizable Information Table: An on-screen table keeps you updated on the divergence status. You can easily adjust its Position and Size in the settings to fit your chart layout. • Built-in Alerts: Alerts are configured for both Bullish and Bearish divergences to notify you as soon as they occur. How to Use This Indicator The principle is the same as any divergence strategy, but with the conviction of volume behind it. • 🔴 Bearish Divergence: Price makes a Higher High, but the CVD makes a Lower High or an equal high. This suggests that the buying pressure is weakening and may not be strong enough to support the new price high. • 🟢 Bullish Divergence: Price makes a Lower Low, but the CVD makes a Higher Low or an equal low. This suggests that selling pressure is exhausting and the market may be ready for a reversal. Always use divergence signals as a confluence with your own analysis, support/resistance levels, and market structure. Huge Thanks and Credit This script would not exist without the brilliant and creative work of @cdikici71. The entire divergence detection engine, the visualization style, and the core logic are based on his original masterpiece, "cd_RSI_Divergence_Cx". I have simply adapted his framework to a different data source. If you find this indicator useful, please go and show your support for his original work! ________________________________________ Disclaimer: This is a tool for analysis, not a financial advice signal service. Please use it responsibly as part of a complete trading strategy.
Pine Script® インジケーター
tncylyvの投稿
8
Order Block Volumatic FVG StrategyInspired by: Volumatic Fair Value Gaps — License: CC BY-NC-SA 4.0 (Creative Commons Attribution–NonCommercial–ShareAlike). This script is a non-commercial derivative work that credits the original author and keeps the same license. What this strategy does This turns BigBeluga’s visual FVG concept into an entry/exit strategy. It scans bullish and bearish FVG boxes, measures how deep price has mitigated into a box (as a percentage), and opens a long/short when your mitigation threshold and filters are satisfied. Risk is managed with a fixed Stop Loss % and a Trailing Stop that activates only after a user-defined profit trigger. Additions vs. the original indicator ✅ Strategy entries based on % mitigation into FVGs (long/short). ✅ Lower-TF volume split using upticks/downticks; fallback if LTF data is missing (distributes prior bar volume by close’s position in its H–L range) to avoid NaN/0. ✅ Per-FVG total volume filter (min/max) so you can skip weak boxes. ✅ Age filter (min bars since the FVG was created) to avoid fresh/immature boxes. ✅ Bull% / Bear% share filter (the 46%/53% numbers you see inside each FVG). ✅ Optional candle confirmation and cooldown between trades. ✅ Risk management: fixed SL % + Trailing Stop with a profit trigger (doesn’t trail until your trigger is reached). ✅ Pine v6 safety: no unsupported args, no indexof/clamp/when, reverse-index deletes, guards against zero/NaN. How a trade is decided (logic overview) Detect FVGs (same rules as the original visual logic). For each FVG currently intersected by the bar, compute: Mitigation % (how deep price has entered the box). Bull%/Bear% split (internal volume share). Total volume (printed on the box) from LTF aggregation or fallback. Age (bars) since the box was created. Apply your filters: Mitigation ≥ Long/Short threshold. Volume between your min and max (if enabled). Age ≥ min bars (if enabled). Bull% / Bear% within your limits (if enabled). (Optional) the current candle must be in trade direction (confirm). If multiple FVGs qualify on the same bar, the strategy uses the most recent one. Enter long/short (no pyramiding). Exit with: Fixed Stop Loss %, and Trailing Stop that only starts after price reaches your profit trigger %. Input settings (quick guide) Mitigation source: close or high/low. Use high/low for intrabar touches; close is stricter. Mitigation % thresholds: minimal mitigation for Long and Short. TOTAL Volume filter: skip FVGs with too little/too much total volume (per box). Bull/Bear share filter: require, e.g., Long only if Bull% ≥ 50; avoid Short when Bull% is high (Short Bull% max). Age filter (bars): e.g., ≥ 20–30 bars to avoid fresh boxes. Confirm candle: require candle direction to match the trade. Cooldown (bars): minimum bars between entries. Risk: Stop Loss % (fixed from entry price). Activate trailing at +% profit (the trigger). Trailing distance % (the trailing gap once active). Lower-TF aggregation: Auto: TF/Divisor → picks 1/3/5m automatically. Fixed: choose 1/3/5/15m explicitly. If LTF can’t be fetched, fallback allocates prior bar’s volume by its close position in the bar’s H–L. Suggested starting presets (you should optimize per market) Mitigation: 60–80% for both Long/Short. Bull/Bear share: Long: Bull% ≥ 50–70, Bear% ≤ 100. Short: Bull% ≤ 60 (avoid shorting into strong support), Bear% ≥ 0–70 as you prefer. Age: ≥ 20–30 bars. Volume: pick a min that filters noise for your symbol/timeframe. Risk: SL 4–6%, trailing trigger 1–2%, distance 1–2% (crypto example). Set slippage/fees in Strategy Properties. Notes, limitations & best practices Data differences: The LTF split uses request.security_lower_tf. If the exchange/data feed has sparse LTF data, the fallback kicks in (it’s deliberate to avoid NaNs but is a heuristic). Real-time vs backtest: The current bar can update until close; results on historical bars use closed data. Use “Bar Replay” to understand intrabar effects. No pyramiding: Only one position at a time. Modify pyramiding in the header if you need scaling. Assets: For spot/crypto, TradingView “volume” is exchange volume; in some markets it may be tick volume—interpret filters accordingly. Risk disclosure: Past performance ≠ future results. Use appropriate position sizing and risk controls; this is not financial advice. Credits Visual FVG concept and original implementation: BigBeluga. This derivative strategy adds entry/exit logic, volume/age/share filters, robust LTF handling, and risk management while preserving the original spirit. License remains CC BY-NC-SA 4.0 (non-commercial, attribution required, share-alike).
Pine Script® ストラテジー
TagsTradingの投稿
Contrarian Period High & LowContrarian Period High & Low This indicator pairs nicely with the Contrarian 100 MA and can be located here: Overview The "Contrarian Period High & Low" indicator is a powerful technical analysis tool designed for traders seeking to identify key support and resistance levels and capitalize on contrarian trading opportunities. By tracking the highest highs and lowest lows over user-defined periods (Daily, Weekly, or Monthly), this indicator plots historical levels and generates buy and sell signals when price breaks these levels in a contrarian manner. A unique blue dot counter and action table enhance decision-making, making it ideal for swing traders, trend followers, and those trading forex, stocks, or cryptocurrencies. Optimized for daily charts, it can be adapted to other timeframes with proper testing. How It Works The indicator identifies the highest high and lowest low within a specified period (e.g., daily, weekly, or monthly) and draws horizontal lines for the previous period’s extremes on the chart. These levels act as dynamic support and resistance zones. Contrarian signals are generated when the price crosses below the previous period’s low (buy signal) or above the previous period’s high (sell signal), indicating potential reversals. A blue dot counter tracks consecutive buy signals, and a table displays the count and recommended action, helping traders decide whether to hold or flip positions. Key Components Period High/Low Levels: Tracks the highest high and lowest low for each period, plotting red lines for highs and green lines for lows from the bar where they occurred, extending for a user-defined length (default: 200 bars). Contrarian Signals: Generates buy signals (blue circles) when price crosses below the previous period’s low and sell signals (white circles) when price crosses above the previous period’s high, designed to capture potential reversals. Blue Dot Tracker: Counts consecutive buy signals (“blue dots”). If three or more occur, it suggests a stronger trend, with the table recommending whether to “Hold Investment” or “Flip Investment.” Action Table: A 2x2 table in the bottom-right corner displays the blue dot count and action (“Hold Investment” if count ≥ 4, else “Flip Investment”) for quick reference. Mathematical Concepts Period Detection: Uses an approximate bar count to define periods (1 bar for Daily, 5 bars for Weekly, 20 bars for Monthly on a daily chart). When a new period starts, the previous period’s high/low is finalized and plotted. High/Low Tracking: Highest high (periodHigh) and lowest low (periodLow) are updated within the period. Lines are drawn at these levels when the period ends, starting from the bar where the extreme occurred (periodHighBar, periodLowBar). Signal Logic: Buy signal: ta.crossunder(close , prevPeriodLow) and not lowBroken and barstate.isconfirmed Sell signal: ta.crossover(close , prevPeriodHigh) and not highBroken and barstate.isconfirmed Flags (highBroken, lowBroken) prevent multiple signals for the same level within a period. Blue Dot Counter: Increments on each buy signal, resets on a sell signal or if price exceeds the entry price after three or more buy signals. Entry and Exit Rules Buy Signal (Blue Circle): Triggered when the price crosses below the previous period’s low, suggesting a potential oversold condition and buying opportunity. The signal appears as a blue circle below the price bar. Sell Signal (White Circle): Triggered when the price crosses above the previous period’s high, indicating a potential overbought condition and selling opportunity. The signal appears as a white circle above the price bar. Blue Dot Tracker: Increments blueDotCount on each buy signal and sets an entryPrice on the first buy. Resets on a sell signal or if price exceeds entryPrice after three or more buy signals. If blueDotCount >= 3, the table suggests holding; if >= 4, it reinforces “Hold Investment.” Exit Rules: Exit a buy position on a sell signal or when price exceeds the entry price after three or more buy signals. Combine with other tools (e.g., trendlines, support/resistance) for additional confirmation. Always apply proper risk management. Recommended Usage The "Contrarian Period High & Low" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to the period bar count. It excels in markets with clear support/resistance levels and potential reversal zones. Traders should: Backtest the indicator on their chosen asset and timeframe to validate signal reliability. Combine with other technical tools (e.g., moving averages, Fibonacci levels) for stronger trade confirmation. Adjust barsPerPeriod (e.g., ~120 bars for Weekly on hourly charts) based on the chart timeframe and market volatility. Monitor the action table to guide position management based on blue dot counts. Customization Options Period Type: Choose between Daily, Weekly, or Monthly periods (default: Monthly). Line Length: Set the length of high/low lines in bars (default: 200). Show Highs/Lows: Toggle visibility of period high (red) and low (green) lines. Max Lines to Keep: Limit the number of historical lines displayed (default: 10). Hide Signals: Toggle buy/sell signal visibility for a cleaner chart. Table Display: A fixed table in the bottom-right corner shows the blue dot count and action, with yellow (Hold) or green (Flip) backgrounds based on the count. Why Use This Indicator? The "Contrarian Period High & Low" indicator offers a unique blend of support/resistance visualization and contrarian signal generation, making it a versatile tool for identifying potential reversals. Its clear visual cues (lines and signals), blue dot tracker, and actionable table provide traders with an intuitive way to monitor market structure and manage trades. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to spot key levels and time entries/exits effectively. Tips for Users Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust barsPerPeriod for non-daily charts). Use in conjunction with price action or other indicators for stronger trade setups. Monitor the action table to decide whether to hold or flip positions based on blue dot counts. Ensure your chart timeframe aligns with the selected period type (e.g., daily chart for Monthly periods). Apply strict risk management to protect against false breakouts. Happy trading with the Contrarian Period High & Low indicator! Share your feedback and strategies in the TradingView community!
Pine Script® インジケーター
chuckaschultzの投稿
Iron Condor Pro v6 – Full EngineIronCondor Engine v6.6 is a multi-mode options strategy tool for planning and managing iron condors, straddles, strangles, and butterflies. It supports both setup planning and live trade tracking with modeled delta, risk-based strike selection, IV rank estimation, and visual breach alerts. Use Setup Mode to preview strike structures based on IV proxy, ATR, delta targeting, and risk tier (High/Mid/Low/Delta). Use Live Mode to track real trades, enter strike/premium data, and monitor live P&L, delta drift, and range status. This script does not connect to live option chains. Volatility and delta are modeled using price history. All strikes and premiums must be confirmed using your broker before placing trades. Best used with strong support/resistance levels and high IV rank (30%+). For educational purposes only. Workflow Guide Use this flow whether you're setting up on Sunday night or any day before placing a trade. Step 0: Pre-Script Preparation Before using the script: Identify major support and resistance zones on your chart. Define the expected range or consolidation area. Use this context to help evaluate strike placement 1. Setup Phase (Pre-Trade Planning) Step 1 – Load the Script Add: IronCondor Engine v6.6 – Full Risk/Decay Edition to your chart Step 2 – Set Mode = Setup This enables planning mode, where the engine calculates strike combinations based on: Your selected risk profile (High, Mid, Low, or Delta) Historical volatility (20-day log return) ATR (Average True Range) Target short delta (adjustable) Step 3 – Review Setup Table Enable Show Setup Table to view calculated strikes and width by risk tier. Adjust any of the following as needed: Target Short Delta Strike Interval ($) Width multipliers (High/Mid/Low) Risk tier under Auto-Feed Choice Step 4 – Evaluate the Setup Is the net credit at least 1.5–2.0x your max risk? Are the short strikes clearly outside support/resistance zones? Are the short deltas between 0.15 and 0.30? Is the range wide enough to handle normal price movement? Step 5 – Prep for Execution Enable Auto-Feed Setup → Live to carry Setup strikes into Live mode Or disable it if you prefer to manually enter strikes later 2. Trade Execution (Live Tracking Mode) Step 1 – Place the Trade with Your Broker Use your brokerage (TOS, Tasty, IBKR, etc.) to place the iron condor or other structure Step 2 – Set Mode = Live In Live mode: If Auto-Feed is ON, the Setup strikes auto-populate If Auto-Feed is OFF, manually enter: Short and long strikes (Call and Put) Premiums collected/paid per leg Total net credit (Entry Credit) Optional: Input current mid prices for each leg in the "Live Chain" section to track live mark-to-market P&L Once all required fields are valid, the script activates: Real-time profit/loss tracking Max risk estimate Delta monitoring on short legs IV Rank estimate Breach detection system Chart visuals (if enabled) 3. Trade Management (During the Week) While the trade is active, use the dashboard and visuals to monitor: Key Metrics: Unrealized P/L % Mark-to-market value vs entry credit Daily decay (theta) Days until expiration Breach status: In Range Near Breach Breached Alerts: Price near short strike → suggests roll Price breaches long strike → breach alert 50% or 75% profit → optional exit signal Delta exceeds threshold → exposure may need adjustment Management Tips: At 50–75% profit: consider closing early If price nears a short leg: roll, hedge, or manage If nearing expiry: decide whether to hold or close If IV collapses: may accelerate time decay or reduce exit value 4. End-of-Week or Expiration Management If Profit Target Hit Close early to reduce risk and lock gains If Still Open Near Expiry Close the position or Hold through expiration only if you're fully prepared for pinning/gamma/assignment scenarios Avoid holding open spreads over the weekend unless part of a defined strategy Reference Notes Strike Width Defined as: Width = Distance between Short and Long strike Used for calculating max loss and breach visuals Delta Guidelines 0.15–0.20 = safer, wider range, lower credit 0.25–0.30 = more aggressive, tighter range, higher credit Use Target Short Delta input to adjust auto-selected strikes accordingly Credit Example Sell Call: $1.04 Sell Put: $0.23 Buy Call + Put wings: $0.14 Net Credit = $1.13 = $113 per contract (max profit) This is the max profit if price stays between short strikes through expiration IV Rank (Estimated) This script does not use options chain IV data. Instead, it calculates a volatility proxy: ivRaw = ta.stdev(log returns, 20) * sqrt(252) IV Rank is then calculated as the percentile of this value within the last 252 bars. High IV Rank (30%–100%) → better premium-selling conditions Low IV Rank (<30%) → lower edge for condors Ideal to sell premium when IV Rank is above 30–50% Disclosures and Limitations This script is for educational use only It does not connect to live option chains All strikes, deltas, and premiums must be validated through your broker Always confirm real-time IV, delta, and pricing before placing a trade
Pine Script® インジケーター
renderingnature1の投稿