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Indicatori e strategie

Signals PridictorSignals Predictor is a powerful, next-generation technical indicator built upon advanced algorithms Designed for traders who seek clarity, reliability, and dynamic insights, this indicator predicts price movement directions with high accuracy, enhancing decision-making and trading efficiency. Key Features Dynamic Signal Entries & Exits: Utilizes customizable ATR-based dynamic exits and time-based strict exits, allowing traders to adapt strategies to changing market conditions. Candle Coloring: Candles dynamically color green for bullish conditions and red for bearish conditions, offering instant visual feedback on the prevailing market sentiment. Trade Performance Table: Includes a built-in real-time performance statistics table, tracking total trades, win rate, profit ratio, and early signal flips, which helps traders quickly assess strategy effectiveness. How to Use Entry Signals: Green Label (▲+): Indicates a strong bullish (buy) signal. Red Label (▼+): Indicates a strong bearish (sell) signal. Exit Signals: Small cross (×) represents recommended trade exits. Visual Confirmation: Kernel Regression Estimate Line visually confirms the underlying trend strength. Candle colors reinforce the trend direction—green for bullish, red for bearish. Who Should Use Signals Predictor? Day Traders Swing Traders Trend-Following Traders Technical Analysts Recommended Usage Combine with price action, support & resistance levels, and trend analysis for maximum reliability. Optimal results when used on major forex pairs, indices, commodities, and cryptocurrencies. Disclaimer Signals Predictor is intended as an analysis tool to complement your trading strategy. Always apply proper risk management and never rely solely on one indicator. #indicator #tradingindicator #technicalanalysis #algotrading #tradingtools #forexindicator #stockmarket #cryptotrading
Indicatore Pine Script®
di Hunterbybirth
Quantify [Trading Model] | FractalystNote: In this description, "TM" refers to Trading Model (not trademark) and "EM" refers to Entry Model What’s the indicator’s purpose and functionality? You know how to identify market bias but always struggle with figuring out the best exit method, or even hesitating to take your trades? I've been there. That's why I built this solution—once and for all—to help traders who know the market bias but need a systematic and quantitative approach for their entries and trade management. A model that shows you real-time market probabilities and insights, so you can focus on execution with confidence—not doubt or FOMO. How does this Quantify differentiate from Quantify ? Have you managed to code or even found an indicator that identifies the market bias for you, so you don’t have to manually spend time analyzing the market and trend? Then that’s exactly why you might need the Quantify Trading Model. With the Trading Model (TM) version, the script automatically uses your given bias identification method to determine the trend (bull vs bear and neutral), detect the bias, and provide instant insight into the trades you could’ve taken. To avoid complications from consecutive signals, it uses a kNN machine learning algorithm that processes market structure and probabilities to predict the best future patterns. (You don’t have to deal with any complexity—it’s all taken care of for you.) Quantify TM uses the k-Nearest Neighbors (kNN) machine learning algorithm to learn from historical market patterns and adapt to changing market structures. This means it can recognize similar market conditions from the past and apply those lessons to current trading decisions. On the other hand, Quantify EM requires you to manually select your directional bias. It then focuses solely on generating entry signals based on that pre-determined bias. While the entry model version (EM) uses your manual bias selection to determine the trend, it then provides insights into trades you could’ve taken and should be taking. Trading Model (TM) - Uses `input.source()` to incorporate your personal methodology for identifying market bias - Automates everything—from bias detection to entry and exit decisions - Adapts to market bias changes through kNN machine learning optimization - Reduces human intervention in trading decisions, limiting emotional interference Entry Model (EM) - Focuses specifically on optimizing entry points within your pre-selected directional bias - Requires manual input for determining market bias - Provides entry signals without automating alerts or bias rules Can the indicator be applied to any market approach/trading strategy? Yes, if you have clear rules for identifying the market bias, then you can code your bias detection and then use the input.source() user input to retrieve the direction from your own indicator, then the Quantify uses machine-learning identify the best setups for you. Here's an example: //@version=6 indicator('Moving Averages Bias', overlay = true) // Input lengths for moving averages ma10_length = input.int(10, title = 'MA 10 Length') ma20_length = input.int(20, title = 'MA 20 Length') ma50_length = input.int(50, title = 'MA 50 Length') // Calculate moving averages ma10 = ta.sma(close, ma10_length) ma20 = ta.sma(close, ma20_length) ma50 = ta.sma(close, ma50_length) // Identify bias var bias = 0 if close > ma10 and close > ma20 and close > ma50 and ma10 > ma20 and ma20 > ma50 bias := 1 // Bullish bias else if close < ma10 and close < ma20 and close < ma50 and ma10 < ma20 and ma20 < ma50 bias := -1 // Bearish bias else bias := 0 // Neutral bias // Plot the bias plot(bias, title = 'Identified Bias', color = color.blue,display = display.none) Once you've created your custom bias indicator, you can integrate it with Quantify : - Add your bias indicator to your chart - Open the Quantify settings - Set the Bias option to "Auto" - Select your custom indicator as the bias source The machine learning algorithms will then analyze historical price action and identify optimal setups based on your defined bias parameters. Performance statistics are displayed in summary tables, allowing you to evaluate effectiveness across different timeframes. Can the indicator be used for different timeframes or trading styles? Yes, regardless of the timeframe you’d like to take your entries, the indicator adapts to your trading style. Whether you’re a swing trader, scalper, or even a position trader, the algorithm dynamically evaluates market conditions across your chosen timeframe. How Quantify Helps You Trade Profitably? The Quantify Trading Model offers several powerful features that can significantly improve your trading profitability when used correctly: Real-Time Edge Assessment It displays real-time probability of price moving in your favor versus hitting your stoploss This gives you immediate insight into risk/reward dynamics before entering trades You can make more informed decisions by knowing the statistical likelihood of success Historical Edge Validation Instantly shows whether your trading approach has demonstrated an edge in historical data Prevents you from trading setups that historically haven't performed well Gives confidence when entering trades that have proven statistical advantages Optimized Position Sizing Analyzes each setup's success rate to determine the adjusted Kelly criterion formula Customizes position sizing based on your selected maximum drawdown tolerance Helps prevent account-destroying losses while maximizing growth potential Advanced Exit Management Utilizes market structure-based trailing stop-loss mechanisms Maximizes the average risk-reward ratio profit per winning trade Helps capture larger moves while protecting gains during market reversals Emotional Discipline Enforcement Eliminates emotional bias by adhering to your pre-defined rules for market direction Prevents impulsive decisions by providing objective entry and exit signals Creates psychological distance between your emotions and trading decisions Overtrading Prevention Highlights only setups that demonstrate positive expectancy Reduces frequency of low-probability trades Conserves capital for higher-quality opportunities Systematic Approach Benefits By combining machine learning algorithms with your personal bias identification methods, Quantify helps transform discretionary trading approaches into more systematic, probability-based strategies. What Entry Models are used in Quantify Trading Model version? The Quantify Trading Model utilizes two primary entry models to identify high-probability trade setups: Breakout Entry Model - Identifies potential trade entries when price breaks through significant swing highs and swing lows - Captures momentum as price moves beyond established trading ranges - Particularly effective in trending markets when combined with the appropriate bias detection - Optimized by machine learning to filter false breakouts based on historical performance Fractals Entry Model - Utilizes fractal patterns to identify potential reversal or continuation points - Also uses swing levels to determine optimal entry locations - Based on the concept that market structure repeats across different timeframes - Identifies local highs and lows that form natural entry points - Enhanced by machine learning to recognize the most profitable fractal formations - These entry models work in conjunction with your custom bias indicator to ensure trades are taken in the direction of the overall market trend. The machine learning component analyzes historical performance of these entry types across different market conditions to optimize entry timing and signal quality. How Does This Indicator Identify Market Structure? 1. Swing Detection • The indicator identifies key swing points on the chart. These are local highs or lows where the price reverses direction, forming the foundation of market structure. 2. Structural Break Validation • A structural break is flagged when a candle closes above a previous swing high (bullish) or below a previous swing low (bearish). • Break Confirmation Process: To confirm the break, the indicator applies the following rules: • Valid Swing Preceding the Break: There must be at least one valid swing point before the break. 3. Numeric Labeling • Each confirmed structural break is assigned a unique numeric ID starting from 1. • This helps traders track breaks sequentially and analyze how the market structure evolves over time. 4. Liquidity and Invalidation Zones • For every confirmed structural break, the indicator highlights two critical zones: 1. Liquidity Zone (LIQ): Represents the structural liquidity level. 2. Invalidation Zone (INV): Acts as Invalidation point if the structure fails to hold. How does the trailing stop-loss work? what are the underlying calculations? A trailing stoploss is a dynamic risk management tool that moves with the price as the market trend continues in the trader’s favor. Unlike a fixed take profit, which stays at a set level, the trailing stoploss automatically adjusts itself as the market moves, locking in profits as the price advances. In Quantify, the trailing stoploss is enhanced by incorporating market structure liquidity levels (explain above). This ensures that the stoploss adjusts intelligently based on key price levels, allowing the trader to stay in the trade as long as the trend remains intact, while also protecting profits if the market reverses. What is the Kelly Criterion, and how does it work in Quantify? The Kelly Criterion is a mathematical formula used to determine the optimal position size for each trade, maximizing long-term growth while minimizing the risk of large drawdowns. It calculates the percentage of your portfolio to risk on a trade based on the probability of winning and the expected payoff. Quantify integrates this with user-defined inputs to dynamically calculate the most effective position size in percentage, aligning with the trader’s risk tolerance and desired exposure. How does Quantify use the Kelly Criterion in practice? Quantify uses the Kelly Criterion to optimize position sizing based on the following factors: 1. Confidence Level: The model assesses the confidence level in the trade setup based on historical data and sample size. A higher confidence level increases the suggested position size because the trade has a higher probability of success. 2. Max Allowed Drawdown (User-Defined): Traders can set their preferred maximum allowed drawdown, which dictates how much loss is acceptable before reducing position size or stopping trading. Quantify uses this input to ensure that risk exposure aligns with the trader’s risk tolerance. 3. Probabilities: Quantify calculates the probabilities of success for each trade setup. The higher the probability of a successful trade (based on historical price action and liquidity levels), the larger the position size suggested by the Kelly Criterion. How can I get started to use the indicator? 1. Set Your Market Bias • Choose Auto. • Select the source you want Quantify to use as for bias identification method (explained above) 2. Choose Your Entry Timeframes • Specify the timeframes you want to focus on for trade entries. • The indicator will dynamically analyze these timeframes to provide optimal setups. 3. Choose Your Entry Model and BE/TP Levels • Choose a model that suits your personality • Choose a level where you'd like the script to take profit or move stop-loss to BE 4. Set and activate the alerts What tables are used in the Quantify? • Quarterly • Monthly • Weekly Terms and Conditions | Disclaimer Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited. - By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Indicatore Pine Script®
di Fractalyst
SwipeUP Reversal Radar Multi-Timeframe Alerts# SwipeUP Reversal Radar Multi-Timeframe Alerts ## Overview The SwipeUP Reversal Radar Multi-Timeframe Alerts indicator is designed to anticipate market reversals —whether a bounce or a full trend shift—before they occur. ## Features: - 📊 **Multi-timeframe WaveTrend analysis** for precise signals. - 📉 **Daily Lips Line confirmation** to validate trend direction. - 🚀 **Real-time alerts** for optimal entry points. --- ### 🔹 **Main Components** ✅ **WaveTrend Calculation** – Uses **EMA-based smoothing** for detecting trend shifts on **4H and 8H timeframes**. ✅ **Lips Line Analysis** – SMA 280 (1D) acts as a trend filter. ✅ **Overbought/Oversold Conditions** – Thresholds set at **+65 / -65**. ✅ **Multi-timeframe Price Validation** – Confirming whether price action supports a reversal. --- ### 🎯 **Trading Signals** 📈 **BUY SIGNAL** – Green triangle appears when conditions align for an upward reversal. 📉 **SELL SIGNAL** – Red triangle appears when conditions align for a downward reversal. --- ### 🚀 **Alerts for Entry Points** 🔸 **Buy Alert:** WT1 below **oversold level (-65)** on **4H & 8H**, price above Lips Line. 🔹 **Sell Alert:** WT1 above **overbought level (65)** on **4H & 8H**, price below Lips Line. --- ### 🔥 **Latest Enhancements** ✅ **SMA 8H (4H) Displayed Across All Timeframes** – Clear visualization for trend tracking. ✅ **Improved Alert Conditions** – Notifications only trigger when key criteria are met. ✅ **Entry-Level Labeling** – A clear **"ENTRY LEVEL"** tag appears when reversal confirmation occurs. ✅ **Trend, ATR & Volume Display** – Insightful data integrated into the trend label. --- ### 📌 **Access Information** This version provides **lifetime access** to the indicator on **your TradingView chart**, but the **source code remains private**. 📍 **Maximize your trading potential by anticipating market reversals with confidence!** 🚀
Indicatore Pine Script®
di Andrea_Russo_SwipeUP
Multi Oscillator OB/OS Signals v3 - Scope TestIndicator Description: Multi Oscillator OB/OS Signals Purpose: The "Multi Oscillator OB/OS Signals" indicator is a TradingView tool designed to help traders identify potential market extremes and momentum shifts by monitoring four popular oscillators simultaneously: RSI, Stochastic RSI, CCI, and MACD. Instead of displaying these oscillators in separate panes, this indicator plots distinct visual symbols directly onto the main price chart whenever specific predefined conditions (typically related to overbought/oversold levels or line crossovers) are met for each oscillator. This provides a consolidated view of potential signals from these different technical tools. How It Works: The indicator calculates the values for each of the four oscillators based on user-defined settings (like length periods and price sources) and then checks for specific signal conditions on every bar: Relative Strength Index (RSI): It monitors the standard RSI value. When the RSI crosses above the user-defined Overbought (OB) level (e.g., 70), it plots an "Overbought" symbol (like a downward triangle) above that price bar. When the RSI crosses below the user-defined Oversold (OS) level (e.g., 30), it plots an "Oversold" symbol (like an upward triangle) below that price bar. Stochastic RSI: This works similarly to RSI but is based on the Stochastic calculation applied to the RSI value itself (specifically, the %K line of the Stoch RSI). When the Stoch RSI's %K line crosses above its Overbought level (e.g., 80), it plots its designated OB symbol (like a downward arrow) above the bar. When the %K line crosses below its Oversold level (e.g., 20), it plots its OS symbol (like an upward arrow) below the bar. Commodity Channel Index (CCI): It tracks the CCI value. When the CCI crosses above its Overbought level (e.g., +100), it plots its OB symbol (like a square) above the bar. When the CCI crosses below its Oversold level (e.g., -100), it plots its OS symbol (like a square) below the bar. Moving Average Convergence Divergence (MACD): Unlike the others, MACD signals here are not based on fixed OB/OS levels. It identifies when the main MACD line crosses above its Signal line. This is considered a bullish crossover and is indicated by a specific symbol (like an upward label) plotted below the price bar. It also identifies when the MACD line crosses below its Signal line. This is a bearish crossover, indicated by a different symbol (like a downward label) plotted above the price bar. Visualization: All these signals appear as small, distinct shapes directly on the price chart at the bar where the condition occurred. The shapes, their colors, and their position (above or below the bar) are predefined for each signal type to allow for quick visual identification. Note: In the current version of the underlying code, the size of these shapes is fixed (e.g., tiny) and not user-adjustable via the settings. Configuration: Users can access the indicator's settings to customize: The calculation parameters (Length periods, smoothing, price source) for each individual oscillator (RSI, Stoch RSI, CCI, MACD). The specific Overbought and Oversold threshold levels for RSI, Stoch RSI, and CCI. The colors associated with each type of signal (OB, OS, Bullish Cross, Bearish Cross). (Limitation Note: While settings exist to toggle the visibility of signals for each oscillator individually, due to a technical workaround in the current code, these toggles may not actively prevent the shapes from plotting if the underlying condition is met.) Alerts: The indicator itself does not automatically generate pop-up alerts. However, it creates the necessary "Alert Conditions" within TradingView's alert system. This means users can manually set up alerts for any of the specific signals generated by the indicator (e.g., "RSI Overbought Enter," "MACD Bullish Crossover"). When creating an alert, the user selects this indicator, chooses the desired condition from the list provided by the script, and configures the alert actions. Intended Use: This indicator aims to provide traders with convenient visual cues for potential over-extension in price (via OB/OS signals) or shifts in momentum (via MACD crossovers) based on multiple standard oscillators. These signals are often used as potential indicators for: Identifying areas where a trend might be exhausted and prone to a pullback or reversal. Confirming signals generated by other analysis methods or trading strategies. Noting shifts in short-term momentum. Disclaimer: As with any technical indicator, the signals generated should not be taken as direct buy or sell recommendations. They are best used in conjunction with other forms of analysis (price action, trend analysis, volume, fundamental analysis, etc.) and within the framework of a well-defined trading plan that includes risk management. Market conditions can change, and indicator signals can sometimes be false or misleading.
Indicatore Pine Script®
di ozgurzari
2
Order Flow Hawkes Process [ScorsoneEnterprises]This indicator is an implementation of the Hawkes Process. This tool is designed to show the excitability of the different sides of volume, it is an estimation of bid and ask size per bar. The code for the volume delta is from www.tradingview.com Here’s a link to a more sophisticated research article about Hawkes Process than this post arxiv.org This tool is designed to show how excitable the different sides are. Excitability refers to how likely that side is to get more activity. Alan Hawkes made Hawkes Process for seismology. A big earthquake happens, lots of little ones follow until it returns to normal. Same for financial markets, big orders come in, causing a lot of little orders to come. Alpha, Beta, and Lambda parameters are estimated by minimizing a negative log likelihood function. How it works There are a few components to this script, so we’ll go into the equation and then the other functions used in this script. hawkes_process(params, events, lkb) => alpha = clamp(array.get(params, 0), 0.01, 1.0) beta = clamp(array.get(params, 1), 0.1, 10.0) lambda_0 = clamp(array.get(params, 2), 0.01, 0.3) intensity = array.new_float(lkb, 0.0) events_array = array.new_float(lkb, 0.0) for i = 0 to lkb - 1 array.set(events_array, i, array.get(events, i)) for i = 0 to lkb - 1 sum_decay = 0.0 current_event = array.get(events_array, i) for j = 0 to i - 1 time_diff = i - j past_event = array.get(events_array, j) decay = math.exp(-beta * time_diff) past_event_val = na(past_event) ? 0 : past_event sum_decay := sum_decay + (past_event_val * decay) array.set(intensity, i, lambda_0 + alpha * sum_decay) intensity The parameters alpha, beta, and lambda all represent a different real thing. Alpha (α): Definition: Alpha represents the excitation factor or the magnitude of the influence that past events have on the future intensity of the process. In simpler terms, it measures how much each event "excites" or triggers additional events. It is constrained between 0.01 and 1.0 (e.g., clamp(array.get(params, 0), 0.01, 1.0)). A higher alpha means past events have a stronger influence on increasing the intensity (likelihood) of future events. Initial value is set to 0.1 in init_params. In the hawkes_process function, alpha scales the contribution of past events to the current intensity via the term alpha * sum_decay. Beta (β): Definition: Beta controls the rate of exponential decay of the influence of past events over time. It determines how quickly the effect of a past event fades away. It is constrained between 0.1 and 10.0 (e.g., clamp(array.get(params, 1), 0.1, 10.0)). A higher beta means the influence of past events decays faster, while a lower beta means the influence lingers longer. Initial value is set to 0.1 in init_params. In the hawkes_process function, beta appears in the decay term math.exp(-beta * time_diff), which reduces the impact of past events as the time difference (time_diff) increases. Lambda_0 (λ₀): Definition: Lambda_0 is the baseline intensity of the process, representing the rate at which events occur in the absence of any excitation from past events. It’s the "background" rate of the process. It is constrained between 0.01 and 0.3 .A higher lambda_0 means a higher natural frequency of events, even without the influence of past events. Initial value is set to 0.1 in init_params. In the hawkes_process function, lambda_0 sets the minimum intensity level, to which the excitation term (alpha * sum_decay) is added: lambda_0 + alpha * sum_decay Alpha (α): Strength of event excitation (how much past events boost future events). Beta (β): Rate of decay of past event influence (how fast the effect fades). Lambda_0 (λ₀): Baseline event rate (background intensity without excitation). Other parts of the script. Clamp The clamping function is a simple way to make sure parameters don’t grow or shrink too much. ObjectiveFunction This function defines the objective function (negative log-likelihood) to minimize during parameter optimization.It returns a float representing the negative log-likelihood (to be minimized). How It Works: Calls hawkes_process to compute the intensity array based on current parameters.Iterates over the lookback period:lambda_t: Intensity at time i.event: Event magnitude at time i.Handles na values by replacing them with 0.Computes log-likelihood: event_clean * math.log(math.max(lambda_t_clean, 0.001)) - lambda_t_clean.Ensures lambda_t_clean is at least 0.001 to avoid log(0).Accumulates into log_likelihood.Returns -log_likelihood (negative because the goal is to minimize, not maximize). It is used in the optimization process to evaluate how well the parameters fit the observed event data. Finite Difference Gradient: This function calculates the gradient of the objective function we spoke about. The gradient is like a directional derivative. Which is like the direction of the rate of change. Which is like the direction of the slope of a hill, we can go up or down a hill. It nudges around the parameter, and calculates the derivative of the parameter. The array of these nudged around parameters is what is returned after they are optimized. Minimize: This is the function that actually has the loop and calls the Finite Difference Gradient each time. Here is where the minimizing happens, how we go down the hill. If we are below a tolerance, we are at the bottom of the hill. Applied After an initial guess the parameters are optimized with a mix of bid and ask levels to prevent some over-fitting for each side while keeping some efficiency. We initialize two different arrays to store the bid and ask sizes. After we optimize the parameters we clamp them for the calculations. We then get the array of intensities from the Hawkes Process of bid and ask and plot them both. When the bids are greater than the ask it represents a bullish scenario where there are likely to be more buy than sell orders, pushing up price. Tool examples: The idea is that when the bid side is more excitable it is more likely to see a bullish reaction, when the ask is we see a bearish reaction. We see that there are a lot of crossovers, and I picked two specific spots. The idea of this isn’t to spot crossovers but avoid chop. The values are either close together or far apart. When they are far, it is a classification for us to look for our own opportunities in, when they are close, it signals the market can’t pick a direction just yet. The value works just as well on a higher timeframe as on a lower one. Hawkes Process is an estimate, so there is a leading value aspect of it. The value works on equities as well, here is NASDAQ:TSLA on a lower time frame with a lookback of 5. Inputs Users can enter the lookback value and timeframe. No tool is perfect, the Hawkes Process value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
Indicatore Pine Script®
di ScorsoneEnterprises
DoloresOverview The "Dolores Trading Assistant" is a sleek and intuitive indicator designed to empower traders during the high-volatile New York trading session. This tool overlays a customizable table on your chart, presenting real-time insights from key market internals—NYSE and Nasdaq Advance/Decline (A/D), Volume Difference (VOLD), and TICK—in a clear, color-coded format. Its streamlined design focuses on delivering essential market data with trend states, making it a practical companion for assessing momentum and sentiment at a glance. Purpose and Usefulness Tailored for intraday traders, the Dolores Trading Assistant goes beyond price-based analysis by tapping into broad market internals to uncover the underlying forces driving the New York session. Whether you’re scalping, day trading, or monitoring short-term trends, this indicator helps you quickly gauge market direction, confirm momentum, and identify potential shifts—all from a single, visually accessible table. Its simplicity and focus on real-time data make it a valuable tool for traders seeking clarity in fast-moving markets. How It Works The indicator fetches live data from six vital market internals using a 1-second timeframe: NYSE Advance/Decline (A/D) - Tracks the net balance of advancing versus declining NYSE stocks. Nasdaq Advance/Decline (A/D) - Monitors the same for Nasdaq stocks. NYSE VOLD - Measures the net volume difference between buying and selling on the NYSE. Nasdaq VOLD - Captures the equivalent for Nasdaq. NYSE TICK - Reflects the net number of NYSE stocks ticking up versus down. Nasdaq TICK - Provides the same for Nasdaq. These internals are processed to determine their trend states—such as bullish, bearish, or neutral—displayed in colors and emojis for instant recognition. The table organizes this data into three columns: the condition (e.g., "NYSE A/D"), its current reading (formatted for readability, like "1.2m" or "500k"), and its trend state (e.g., "Trending Bullish" or "Neutral"). This setup offers a snapshot of market health without overwhelming the user with excessive details. Internal Signals and Their Role Each internal signal contributes to understanding the market’s current state and the conditions you’re trading into: NYSE and Nasdaq A/D: Reveals market breadth. Strong positive values suggest widespread buying, while negative readings indicate broad selling, helping you confirm if a move has robust participation. NYSE and Nasdaq VOLD: Tracks volume momentum. High positive figures point to aggressive buying pressure, while deep negatives signal heavy selling, validating whether price moves are backed by volume. NYSE and Nasdaq TICK: Captures short-term sentiment. Extreme readings highlight overbought or oversold conditions, offering clues about momentum strength or potential exhaustion. How Signals Confirm Conditions Trend States: Each internal’s trend state (e.g., "Bullish," "Bearish," "Trending Bearish") reflects its current momentum. Consistent bullish states across multiple internals confirm a strong upward trend, while bearish alignments suggest selling pressure. Neutral or mixed states indicate indecision or choppiness, guiding you to adjust expectations accordingly. Visual Cues: Color-coded backgrounds (e.g., green for bullish, red for bearish) and emojis (e.g., 🐂for bullish, 🐻for bearish) make it easy to spot dominant conditions or emerging shifts, enhancing your ability to react quickly. How to Use It Add to Chart: Apply the indicator to any symbol (Best W/ SPY, QQQ, IWM and correlated futures securities) on a 1-second or higher timeframe. The table appears in your chosen position (default: bottom right). Monitor Internals: Check the table for real-time readings and trend states. For example, "NYSE TICK: 800, Strong Overbought Rally" signals short-term bullish momentum. Assess Conditions: Look for alignment across internals—e.g., multiple "Bullish" states suggest buying strength, while "Neutral" dominance warns of choppy action. Adapt Your Strategy: Use the trend states to confirm entries, exits, or hold-off decisions. Pair with price tools (e.g., candlestick patterns) for a fuller picture. Customize: Adjust table position, orientation (vertical/horizontal), text size, colors, and transparency via inputs to match your setup. Customization Tailor the experience with options for table placement (e.g., "Top Left"), text size (e.g., "Small" to "Huge"), orientation, and color schemes. Adjust transparency settings to keep the table unobtrusive yet readable. Limitations Requires real-time NYSE/Nasdaq data access, which may depend on your TradingView subscription. Displays current conditions only, not predictive signals—use it as a real-time snapshot, not a crystal ball. Best paired with price analysis for comprehensive trading decisions. Requires a TradingView Subscription that supports the 1s Time Frame Why It’s Original The Dolores Trading Assistant stands out with its elegant, yet simple table-based presentation of NYSE and Nasdaq internals, distilled into an intuitive format with trend states and visual cues. Unlike cluttered dashboards or generic mashups, it offers a focused, trader-centric view of market momentum, avoiding unnecessary complexity while delivering actionable insights—making it a fresh and practical tool for the New York session.
Indicatore Pine Script®
di ATMTrades
QQQ vs NQ Divergence Candlestick "QQQ vs NQ Divergence Candlestick" Indicator What It Does: This TradingView indicator shows the price difference (divergence) between QQQ (Invesco QQQ ETF) and NQ (E-mini Nasdaq-100 Futures, or MNQ for Micro) as a candlestick on the right side of your chart. Both track the Nasdaq-100 Index but can diverge due to trading hours and liquidity. The candlestick highlights this divergence using open, high, low, and close (OHLC) values, helping you spot trading opportunities. How to Use It: Add to Chart: Apply the indicator to a chart (e.g., MNQ). Replace NQ1! with MNQ1! in the script if trading Micro futures. Set Parameters: Timeframe for Data: Choose the timeframe for QQQ/NQ data (e.g., "15" for 15 minutes). Divergence Threshold %: Set the threshold for buy/sell signals (default: 0.5%). Candle Offset/Shift: Adjust where the candlestick appears (e.g., Offset=5, Shift=10 places it 15 bars right). Show Labels: Toggle labels ("do", "dc", "dh", "dl") for clarity. Read the Candlestick: Green Candlestick: QQQ is underperforming NQ (bullish divergence); consider buying QQQ or shorting NQ. Red Candlestick: QQQ is overperforming NQ (bearish divergence); consider selling QQQ or buying NQ. Signals: Green triangles (buy) when divergence < -0.5%; red triangles (sell) when > 0.5%. Trade: Use the candlestick and signals to time entries/exits, confirming with other indicators (e.g., support/resistance). Benefits: Spot Opportunities: Identifies when QQQ and NQ diverge, often leading to mean-reversion trades as prices realign. Clear Visualization: The candlestick format makes divergence easy to see, with adjustable positioning to avoid chart clutter. Flexible Analysis: Customizable timeframe lets you analyze divergence on any scale (e.g., 1-minute for scalping, daily for swings). Liquidity Edge: NQ often leads QQQ due to higher futures liquidity, giving you an early signal for potential reversals. Why It Works: QQQ and NQ should move together since they track the same index, but temporary divergences create trading opportunities. This indicator helps you catch these moments, leveraging NQ’s faster price discovery to anticipate QQQ’s movements.
Indicatore Pine Script®
di viorel8
⚔️ ScalperX: Trap Sniper Pro ## ⚙️ **ScalperX: Trap Sniper Pro ** This script is a **smart money trap detector** built for scalpers and day traders who want to catch **reversals at liquidity sweeps** — before the big moves start. It identifies **fakeouts**, **stop hunts**, and **trap wicks** by combining: - Swing high/low sweeps - Candle body confirmation - VWAP bias - Minimum volatility filter --- ### 🔍 Core Features: - **Trap Wick Detection** Detects if price sweeps a recent high or low and immediately rejects — classic liquidity grab behavior. - **VWAP Trend Bias** Ensures signals are only taken in the direction of institutional flow. - **Minimum Movement Filter** Filters out small or irrelevant candles — only signals when price range exceeds a set percentage (e.g., 0.3%). - **Visual Debug Markers** Triangles show sweep zones, circles show valid volatility — so you can see *why* a signal did or didn’t fire. - **BUY / SELL Labels** Signals are shown clearly when all trap and trend conditions align. - **Alerts Built-In** Set notifications for when trap signals appear in real time. --- ### 🧠 Strategy Logic: **BUY Trap (Long Entry):** - Price sweeps a recent low - Candle closes bullish above VWAP - Minimum range (e.g., 0.3%) **SELL Trap (Short Entry):** - Price sweeps a recent high - Candle closes bearish below VWAP - Minimum range (e.g., 0.3%) --- ### 🧪 Ideal For: - Crypto scalpers (1m, 5m, 15m) - Stop hunt reversal traders - Smart money + liquidity-style systems ---
Indicatore Pine Script®
di johannpasqualini
Daily Time Range HighlightThis Pine Script code creates a TradingView indicator that allows users to highlight a specific time range on a chosen day of the week. It draws a customizable colored box on the price chart, spanning from the session's start to end and covering the highest high and lowest low within that period. Users can enable or disable the highlighting, select the day of the week and time range, and customize the appearance of the highlight box through the indicator's settings.
Indicatore Pine Script®
di Jalaybeewala
Multi-Factor Reversal AnalyzerMulti-Factor Reversal Analyzer – Quantitative Reversal Signal System OVERVIEW Multi-Factor Reversal Analyzer is a comprehensive technical analysis toolkit designed to detect market tops and bottoms with high precision. It combines trend momentum analysis, price action behavior, wave oscillation structure, and volatility breakout potential into one unified indicator. This tool is ideal for traders seeking to catch reversals, filter false breakouts, and enhance entry/exit timing through a blend of leading and lagging signals. Whether you’re a discretionary trader or building a systematic strategy, this multi-dimensional model provides clarity across market regimes. IMPLEMENTATION PRINCIPLES 1. Trend Strength Detector Analyzes price and volume momentum using directional bias and volume-weighted trend scoring to quantify bullish or bearish strength. 2. Price Action Index Measures trend stability and directional momentum through a composite score based on price volatility, stochastic behavior, and signal-to-noise dispersion metrics. 3. Wave Trend Oscillator Identifies turning points and potential divergences using normalized smoothed lines and histogram differentials. 4. Volatility Gold Zone Detects moments of extremely compressed volatility, signaling potential large-move breakout conditions. 5. Multi-Divergence Detection Tracks regular and hidden bullish/bearish divergences across multiple oscillators for reversal confirmation. KEY FEATURES 1. Multi-Layer Reversal Logic • Combines trend scoring, oscillator divergence, and volatility squeezes for triangulated reversal detection. • Helps traders distinguish between trend pullbacks and true reversals. 2. Advanced Divergence Detection • Detects both regular and hidden divergences using pivot-based confirmation logic. • Customizable lookback ranges and pivot sensitivity provide flexible tuning for different market styles. 3. Gold Zone Volatility Compression • Highlights pre-breakout zones using custom oscillation models (RSI, harmonic, Karobein, etc.). • Improves anticipation of breakout opportunities following low-volatility compressions. 4. Trend Direction Context • PAI and Trend Score components provide top-down insight into prevailing bias. • Built-in “Straddle Area” highlights consolidation zones; breakouts from this area often signal new trend phases. 5. Flexible Visualization • Color-coded trend bars, reversal markers, normalized oscillator plots, and trend strength labels. • Designed for both visual discretionary traders and data-driven system developers. USAGE GUIDELINES 1. Applicable Markets • Suitable for stocks, crypto, futures, and forex • Supports reversal, mean-reversion, and breakout trading styles 2. Recommended Timeframes • Short-term traders: 5m / 15m / 1H — use Wave Trend divergence + Gold Zone • Swing traders: 4H / Daily — rely on Price Action Index and Trend Detector • Macro trend context: use PAI HTF mode for higher timeframe overlays 3. Reversal Strategy Flow • Watch for divergence (WT/PAI) + Gold Zone compression • Confirm with Trend Score weakening or flipping • Use Straddle Area breakout for final trigger • Optional: enable bar coloring or labels for visual reinforcement • The indicator performs optimally when used in conjunction with a harmonic pattern recognition tool 4. Additional Note on the Gold Zone The “Gold Zone” does not directly indicate a market bottom. Since it is displayed at the bottom of the chart, it may be misunderstood as a bullish signal. In reality, the Gold Zone represents a compression of price momentum and volatility, suggesting that a significant directional move is about to occur. The direction of that move—upward or downward—should be determined by analyzing the histogram: • If histogram momentum is weakening, the Gold Zone may precede a downward move. • If histogram momentum is strengthening, it may signal an upcoming rebound or rally. Treat the Gold Zone as a warning of impending volatility, and always combine it with trend indicators for accurate directional judgment. RISK DISCLAIMER • This indicator calculates trend direction based on historical data and cannot guarantee future market performance. When using this indicator for trading, always combine it with other technical analysis tools, fundamental analysis, and personal trading experience for comprehensive decision-making. • Market conditions are uncertain, and trend signals may result in false positives or lag. Traders should avoid over-reliance on indicator signals and implement stop-loss strategies and risk management techniques to reduce potential losses. • Leverage trading carries high risks and may result in rapid capital loss. If using this indicator in leveraged markets (such as futures, forex, or cryptocurrency derivatives), exercise caution, manage risks properly, and set reasonable stop-loss/take-profit levels to protect funds. • All trading decisions are the sole responsibility of the trader. The developer is not liable for any trading losses. This indicator is for technical analysis reference only and does not constitute investment advice. • Before live trading, it is recommended to use a demo account for testing to fully understand how to use the indicator and apply proper risk management strategies. CHANGELOG v1.0: Initial release featuring integrated Price Action Index, Trend Strength Scoring, Wave Trend Oscillator, Gold Zone Compression Detection, and dual-type divergence recognition. Supports higher timeframe (HTF) synchronization, visual signal markers, and diversified parameter configurations.
Indicatore Pine Script®
di MatrixQuant
3
YY Price LimitsThis Pine Script indicator is designed to visualize potential price limits (e.g., daily price limits used in some markets like commodities) on a TradingView chart. It calculates and plots lines representing percentage-based price limits above and below a reference price (typically the previous day's close). The indicator allows you to customize the displayed price limits, their appearance, and how they extend across the chart. It's particularly useful for intraday traders who need to be aware of potential price ceilings and floors. Key Features: Percentage-Based Limits: Calculates price limits based on percentages (3%, 5%, and 7%) of a reference price. Customizable Display: Toggle visibility of reference price and each percentage limit (3%, 5%, 7%). Customize the color, style (solid, dashed, dotted), and width of the price limit lines. Extends Lines: Allows you to extend the price limit lines to the left, right, both directions, or not at all. CME Reference Price: It is designed to plot price limits based on the CME (Chicago Mercantile Exchange) methodology, which uses the last close as the reference price. The tooltip reminds users to verify the actual reference price on the CME Group website. Intraday Focus: The indicator is specifically designed for intraday timeframes, as it uses the previous day's close as the reference point. Clear Visuals: Plots horizontal lines with labels indicating the price level and percentage.
Indicatore Pine Script®
di williamwrong
Smarter Money Concepts - OBs [PhenLabs]📊 Smarter Money Concepts - OBs Version: PineScript™ v6 📌 Description Smarter Money Concepts - OBs (Order Blocks) is an advanced technical analysis tool designed to identify and visualize institutional order zones on your charts. Order blocks represent significant areas of liquidity where smart money has entered positions before major moves. By tracking these zones, traders can anticipate potential reversals, continuations, and key reaction points in price action. This indicator incorporates volume filtering technology to identify only the most significant order blocks, eliminating low-quality signals and focusing on areas where institutional participation is likely present. The combination of price structure analysis and volume confirmation provides traders with high-probability zones that may attract future price action for tests, rejections, or breakouts. 🚀 Points of Innovation Volume-Filtered Block Detection : Identifies only order blocks formed with significant volume, focusing on areas with institutional participation Advanced Break of Structure Logic : Uses sophisticated price action analysis to detect legitimate market structure breaks preceding order blocks Dynamic Block Management : Intelligently tracks, extends, and removes order blocks based on price interaction and time-based expiration Structure Recognition System : Employs technical analysis algorithms to find significant swing points for accurate order block identification Dual Directional Tracking : Simultaneously monitors both bullish and bearish order blocks for comprehensive market structure analysis 🔧 Core Components Order Block Detection : Identifies institutional entry zones by analyzing price action before significant breaks of structure, capturing where smart money has likely positioned before moves. Volume Filtering Algorithm : Calculates relative volume compared to a moving average to qualify only order blocks formed with significant market participation, eliminating noise. Structure Break Recognition : Uses price action analysis to detect legitimate breaks of market structure, ensuring order blocks are identified only at significant market turning points. Dynamic Block Management : Continuously monitors price interaction with existing blocks, extending, maintaining, or removing them based on current market behavior. 🔥 Key Features Volume-Based Filtering : Filter out insignificant blocks by requiring a minimum volume threshold, focusing only on zones with likely institutional activity Visual Block Highlighting : Color-coded boxes clearly mark bullish and bearish order blocks with customizable appearance Flexible Mitigation Options : Choose between “Wick” or “Close” methods for determining when a block has been tested or mitigated Scan Range Adjustment : Customize how far back the indicator looks for structure points to adapt to different market conditions and timeframes Break Source Selection : Configure which price component (close, open, high, low) is used to determine structure breaks for precise block identification 🎨 Visualization Bullish Order Blocks : Blue-colored rectangles highlighting zones where bullish institutional orders were likely placed before upward moves, representing potential support areas. Bearish Order Blocks : Red-colored rectangles highlighting zones where bearish institutional orders were likely placed before downward moves, representing potential resistance areas. Block Extension : Order blocks extend to the right of the chart, providing clear visualization of these significant zones as price continues to develop. 📖 Usage Guidelines Order Block Settings Scan Range : Default: 25. Defines how many bars the indicator scans to determine significant structure points for order block identification. Bull Break Price Source : Default: Close. Determines which price component is used to detect bullish breaks of structure. Bear Break Price Source : Default: Close. Determines which price component is used to detect bearish breaks of structure. Visual Settings Bullish Blocks Color : Default: Blue with 85% transparency. Controls the appearance of bullish order blocks. Bearish Blocks Color : Default: Red with 85% transparency. Controls the appearance of bearish order blocks. General Options Block Mitigation Method : Default: Wick, Options: Wick, Close. Determines how block mitigation is calculated - “Wick” uses high/low values while “Close” uses close values for more conservative mitigation criteria. Remove Filled Blocks : Default: Disabled. When enabled, order blocks are removed once they’ve been mitigated by price action. Volume Filter Volume Filter Enabled : Default: Enabled. When activated, only shows order blocks formed with significant volume relative to recent average. Volume SMA Period : Default: 15, Range: 1-50. Number of periods used to calculate the average volume baseline. Min. Volume Ratio : Default: 1.5, Range: 0.5-10.0. Minimum volume ratio compared to average required to display an order block; higher values filter out more blocks. ✅ Best Use Cases Identifying high-probability support and resistance zones for trade entries and exits Finding optimal stop-loss placement behind significant order blocks Detecting potential reversal areas where price may react after extended moves Confirming breakout trades when price clears major order blocks Building a comprehensive market structure map for medium to long-term trading decisions Pinpointing areas where smart money may have positioned before major market moves ⚠️ Limitations Most effective on higher timeframes (1H and above) where institutional activity is more clearly defined Can generate multiple signals in choppy market conditions, requiring additional filtering Volume filtering relies on accurate volume data, which may be less reliable for some securities Recent market structure changes may invalidate older order blocks not yet automatically removed Block identification is based on historical price action and may not predict future behavior with certainty 💡 What Makes This Unique Volume Intelligence : Unlike basic order block indicators, this script incorporates volume analysis to identify only the most significant institutional zones, focusing on quality over quantity. Structural Precision : Uses sophisticated break of structure algorithms to identify true market turning points, going beyond simple price pattern recognition. Dynamic Block Management : Implements automatic block tracking, extension, and cleanup to maintain a clean and relevant chart display without manual intervention. Institutional Focus : Designed specifically to highlight areas where smart money has likely positioned, helping retail traders align with institutional perspectives rather than retail noise. 🔬 How It Works 1. Structure Identification Process : The indicator continuously scans price action to identify significant swing points and structure levels within the specified range, establishing a foundation for order block recognition. 2. Break Detection : When price breaks an established structure level (crossing below a significant low for bearish breaks or above a significant high for bullish breaks), the indicator marks this as a potential zone for order block formation. 3. Volume Qualification : For each potential order block, the algorithm calculates the relative volume compared to the configured period average. Only blocks formed with volume exceeding the minimum ratio threshold are displayed. 4. Block Creation and Management : Valid order blocks are created, tracked, and managed as price continues to develop. Blocks extend to the right of the chart until they are either mitigated by price action or expire after the designated timeframe. 5. Continuous Monitoring : The indicator constantly evaluates price interaction with existing blocks, determining when blocks have been tested, mitigated, or invalidated, and updates the visual representation accordingly. 💡 Note: Order Blocks represent areas where institutional traders have likely established positions and may defend these zones during future price visits. For optimal results, use this indicator in conjunction with other confluent factors such as key support/resistance levels, trendlines, or additional confirmation indicators. The most reliable signals typically occur on higher timeframes where institutional activity is most prominent. Start with the default settings and adjust parameters gradually to match your specific trading instrument and style.
Indicatore Pine Script®
di PhenLabs
FordOverview The "Ford Trading Assistant" is an indicator crafted to support traders during the fast-paced New York trading session. This tool overlays a customizable table on your chart, delivering real-time insights from key market internals—NYSE and Nasdaq Advance/Decline (A/D), Volume Difference (VOLD), and TICK—alongside a unique Trend Score and actionable trading instructions. Its innovative design blends multiple data points into a cohesive market analysis tool, offering visual clarity and contextual guidance to help traders navigate intraday momentum shifts. Purpose and Usefulness Unlike typical price-based indicators, the Ford Trading Assistant taps into broad market internals to reveal underlying sentiment and momentum, making it an essential companion for intraday trading in the New York session for ETFs such as SPY/QQQ/IWM and Futures Markets(ES/NQ/RTY). It’s ideal for scalpers, day traders, and swing traders looking to confirm trend strength, spot potential reversals, or avoid choppy conditions. The indicator’s dual-table interface—one for data and signals, another for instructions—provides a streamlined way to assess current market dynamics and anticipate what’s ahead, enhancing decision-making in real time. How It Works The indicator pulls live data from six critical market internals using a 1-second timeframe: NYSE Advance/Decline (A/D) - Tracks the balance of advancing versus declining NYSE stocks. Nasdaq Advance/Decline (A/D) - Monitors the same for Nasdaq stocks. NYSE VOLD - Measures the net volume difference between buying and selling on the NYSE. Nasdaq VOLD - Captures the equivalent for Nasdaq. NYSE TICK - Gauges the net number of NYSE stocks ticking up versus down. Nasdaq TICK - Reflects the same for Nasdaq. These internals are analyzed to determine their trend state (e.g., bullish, bearish, or neutral), displayed with color-coded backgrounds and emojis for instant recognition. The indicator then: Assesses Trend Conditions: Evaluates the alignment of internals to identify varying degrees of bullish or bearish momentum, reflected in bar colors on the chart. Calculates a Trend Score: Combines the strength of all internals into a single, proprietary metric that summarizes market direction and intensity. Generates Signals: Detects changing states in market internals like reversals, acceleration, exhaustion, divergence, breakouts, and mean reversion, presented with directional cues and timestamps. A separate instruction panel interprets these conditions, delivering guidance tailored to the market’s current state—whether it’s trending strongly, leaning one way, or stuck in divergence—helping traders understand the auction’s behavior and adjust their approach. Internal Signals and Their Role Each internal signal plays a distinct role in confirming the market’s current state and the conditions you’re trading into: NYSE and Nasdaq A/D: Reflects market breadth. Strong positive readings indicate widespread buying interest, while negative readings suggest broad selling pressure, helping confirm if a move has solid participation. NYSE and Nasdaq VOLD: Tracks volume momentum. High positive values signal aggressive buying, while deep negatives point to heavy selling, validating whether price action is supported by volume. NYSE and Nasdaq TICK: Captures short-term sentiment. Extreme values highlight overbought or oversold conditions, offering clues about potential continuation or exhaustion. How Signals Confirm Conditions Trend Score: A positive score suggests bullish control, a negative score indicates bearish control, and a neutral score points to indecision. It acts as a quick gauge of overall market health with a low score of -24 and a max score of +24 with calculations based on overall internal conditions. Reversal: Warns of potential trend shifts, triggered by significant changes in momentum or conflicting internals. Useful for exiting trends or preparing for counter-moves. Acceleration: Highlights strengthening momentum, confirming conditions for trading a trend with confidence. Exhaustion: Flags overextended moves, signaling fading momentum—ideal for profit-taking or fading trades. Divergence: Indicates a disconnect between price and internals, cautioning against chasing moves that lack internal support. Breakout: Identifies sharp momentum surges, confirming conditions for high-probability breakout trades. Mean Reversion: Signals a pullback from extremes, suggesting a return to balance for range-bound strategies. How to Use It Add to Chart: Apply the indicator to any symbol (e.g., SPY, QQQ) on a 1-second or higher timeframe. It displays an "Internals Table" (default bottom right) and an "Instructions" panel (top right). Track Internals: Watch the table for real-time data, trend states, and the Trend Score. The Bar colors also reflect the strength of bullish or bearish conditions. Read Instructions: Use the instruction panel to understand the market’s state—e.g., "Trending Bullish" suggesting buying conditions, while "Diverging" would suggests caution. Leverage Signals: Act on signals like "Breakout" or "Exhaustion" to enter new trades, exit old trades, manage current trades or continue to remain sidelined. Adjust table settings (position, size, colors) via inputs. Pair with Price: Combine with your favorite price tools (e.g., support/resistance) to align internals with chart setups. Customization Modify the lookback period (default 100 bars), table orientation (vertical/horizontal), text size, colors, and transparency to fit your workflow. Limitations Requires real-time NYSE/Nasdaq data, which may depend on your TradingView plan. Signals reflect current conditions, not future predictions, and may lag in extreme volatility. Best used alongside price analysis for a complete trading strategy. Requires a TradingView Subscription that supports the 1s Time Frame Why It’s Original The Ford Trading Assistant stands apart by integrating NYSE and Nasdaq internals into a unified, trader-friendly tool with a custom Trend Score and dynamic instructions. Rather than simply mashing up existing indicators, it offers a fresh approach to interpreting market momentum, enhanced by real-time signal detection and actionable guidance—making it a standout assistant for the New York session.
Indicatore Pine Script®
di ATMTrades
EMA Stack Strength MeterEMA Stack Strength Meter The EMA Stack Strength Meter is a visual tool designed to help traders quickly assess trend strength and structure based on the alignment of multiple Exponential Moving Averages (EMAs). This indicator uses a five-EMA stack (4, 8, 13, 21, 34) and displays a meter-style histogram that quantifies how strongly the EMAs are aligned in either a bullish or bearish configuration. How It Works: The script checks how many of the following conditions are true: EMA 4 > EMA 8 > EMA 13 > EMA 21 > EMA 34 indicates a Bullish Stack EMA 4 < EMA 8 < EMA 13 < EMA 21 < EMA 34 indicates a Bearish Stack For each consecutive pair that satisfies the stack direction, a score is assigned (1 to 4). These scores are plotted as color-coded horizontal bars: Green bars at the top of the meter represent bullish stacking Red bars at the bottom of the meter represent bearish stacking No bars means EMAs are mixed or flat, suggesting a weak or choppy market Mixed Bars (Both Bullish and Bearish Showing): When both bullish and bearish bars appear at the same time, it means the EMAs are partially aligned in opposite directions. This reflects an unclear or transitioning trend. The market may be range-bound, choppy, or indecisive. During such phases, trend-following strategies may underperform, and caution is advised until a full alignment appears in either direction. Use Cases: Quickly gauge the trend structure without analyzing each EMA individually Use it as a trend confirmation filter alongside trade entries Avoid whipsaws during low-alignment or sideways conditions Works across any timeframe or asset All plot levels (Bullish 1 to 4 and Bearish 1 to 4) are always visible in the Style tab for easy customization. This is a clean, non-overlay visual tool that pairs well with price action strategies, momentum indicators, or systems requiring trend confirmation.
Indicatore Pine Script®
di PSPILLAI
2
⚜️ Double MACD MTF [NuengChill] ⚜️it have signal 5 signal 1. double MACD signal = it will use trend from HTF MACD when LTF MACD cross zero line it will show buy signal when HTF MACD < 0 it will be Down trend , when LTF MACD cross zero line it will sell signal 2. MACD1 signal = it will show signal when (LTF MACD) cross signal line 3. Cross 0 = it will show signal when (LTF MACD) cross zero line 4. MACD2 signal = Cross signal from (HTF MACD) 5 Cross 0 = cross zero from (HTF MACD) Double = calculate 2 MACD MACD1 = calculate from LTF MACD MACD2 = calculate from HTF MACD
Indicatore Pine Script®
di NuengChill
1
TDI - RSX + Divergences + Pivots🧾 Description: This indicator is an enhanced version of the Traders Dynamic Index (TDI) based on the RSX (a smoothed version of the RSI), designed to help traders identify market momentum, divergence, and potential reversal points with high precision. It includes the classic TDI components (RSX Price Line, Signal Line, and Volatility Bands), combined with: ✅ Customizable RSX Levels – up to 5 horizontal levels (e.g., 30, 50, 70, 85, 15) with user-defined colors ✅ Dynamic Fill Between Lines – to visualize bullish/bearish momentum shifts ✅ RSX-based Divergence Detection – regular & hidden bullish/bearish divergence ✅ Clean Visual Layout – suitable for scalping, swing trading, or trend-following strategies ⚙️ Best For: Identifying overbought/oversold conditions with RSX precision Confirming trend continuation or early reversal signals Filtering entries with momentum clarity
Indicatore Pine Script®
di Guiguifac
VWAP and its DeviationVWAP and Its Deviation This indicator shows the VWAP along with its along with its ±1 standard upper and lower deviation bands. VWAP helps traders understand the average price where most trading has happened during the day, acting as a dynamic support and resistance level. If the price is above the VWAP, it usually indicates bullish bias; if it's below, it suggests bearish bias. The upper and lower bands represent standard deviation levels from the VWAP and can be used to identify overbought or oversold conditions, or strong breakouts during trending markets. In sideways conditions, price touching the upper band may signal an overbought area, while touching the lower band may signal oversold. In trending conditions, breaking above the upper band or staying below the lower band can confirm momentum. This indicator can be used alone or with other tools like price action, candlestick signals, or key support/resistance zones for better trade decisions. The deviation multiplier setting allows you to control how far the bands are from the VWAP. What is VWAP? VWAP represents the average price weighted by volume over a session. It shows where most of the trading activity happened and is often seen as the “fair price.” Price above VWAP → Bullish Bias Price below VWAP → Bearish Bias VWAP acts as dynamic support/resistance in intraday trading How to Use This Indicator: VWAP Usage Buy when price is above VWAP and pulls back to it (support zone) Sell when price is below VWAP and pulls back to it (resistance zone) Deviation Bands (Upper & Lower) These bands are based on standard deviation, showing how far price is stretching from the VWAP: Upper Band: Resistance in sideways markets Breakout zone in strong uptrends Lower Band: Support in sideways markets Breakdown zone in strong downtrends Use them for: Identifying overbought/oversold zones Confirming momentum or reversals Adding confluence with price action, candle patterns, or support/resistance zones Settings: Show VWAP – Enable/disable the main VWAP line Show VWAP Bands – Show/hide the deviation bands Deviation Multiplier – Adjust the width of the bands (default: 1.0) 🧠 Tip for Beginners: Start by observing how price reacts around the VWAP during live market hours. Combine this indicator with your support/resistance zones or candlestick signals to improve accuracy. Created by @wkabichandra. Let me know your feedback or suggestions for improvements!
Indicatore Pine Script®
di wkabichandra