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Live Risk On/Off Sentiment Big Basket🔥 Live Risk On/Off Sentiment Indicator 🔥 This indicator provides a clear and immediate assessment of global market risk sentiment by combining multiple key financial instruments across various asset classes. It helps traders quickly gauge whether the market is currently in a risk-on or risk-off environment. 📈 Included Assets: - Risk-off indicators:** VIX, Gold, US Dollar Index (DXY), US10Y Treasury Yields, TLT (Treasury Bonds) - Risk-on indicators:** S&P 500 (SPY), Bitcoin (BTC), High Yield Bonds (HYG), AUD/JPY (Forex), Copper/Gold ratio, and Oil (WTI) 🛠️ How it Works: The indicator calculates a weighted Z-score for each asset, dynamically capturing its performance relative to recent history. Positive values (green) indicate a risk-on sentiment, while negative values (red) suggest a risk-off sentiment. 🚨 Features: - Fully customizable asset selection and weighting - Easy-to-understand visual signals - Adaptable lookback period for short-term and long-term market analysis 💡 How to Use: - Identify market phases quickly (bullish or bearish sentiment). - Enhance your decision-making for entries and exits based on broader market conditions. - Incorporate into any trading strategy to improve alignment with global risk sentiment. Harness the power of macro analysis and elevate your trading performance! Enjoy and trade smart! 📊📈 Riseofatrader
Chỉ báo Pine Script®
của riseofatrader
5
VoluTility🌊 VoluTility forecasts trend exhaustion, breakout pressure, and structural inflection by measuring volatility  within  the effort stream. Built on the concept of ATR applied to volume, it doesn’t read raw volume — it reveals whether that volume is stable, chaotic, or compressing ahead of a move. The goal is to detect structural setups before they resolve. The lower the timeframe, the greater the alpha. 🧠 Core Logic A zero-centered histogram shows the deviation of smoothed volume from its own volatility baseline. Positive bars indicate expansion; negative bars signal compression. Color reflects rate-of-change in volume volatility. Opacity tracks effort/result strength — showing when moves are real or hollow. The overlaid ribbon (EMA vs HMA) highlights rhythm shifts. Orange fill signals real expansion; yellow shows decay or absorption. Together, they expose pre-breakout compression and exhaustion tails before price reacts. 🏗️ Structural Read On the 1H BTC chart shown, price coils into a shallow pullback, compressing within a narrow range marked by shrinking candle bodies and muted wick aggression. A sudden expansion candle breaks the coil cleanly, with no immediate rejection or wick reversion. Price holds above the breakout pivot, establishing a baseline for structural acceptance and shifting bias toward continuation. 🔰 Zone Descriptions 🔴 Volatile blowout 🟠 Clean expansion 🟡 Passive or absorbed effort 🟢 Steady-state rhythm 🔵 Compression coil 🧐 Suggested Use VoluTility is expressly designed as an overlay for sub-pane indicators, where it acts as a second-order rhythm map — exposing hidden structural pressure within volume or volatility streams. When paired with volume (like ZVOL or OBVX), it highlights when flow is expanding with intent versus fading into noise. When layered over volatility signals (like ATR Turbulence or WIRE), it reveals whether expansion has real effort behind it — or is just structural slack. It pairs especially well with the Relative Directional Index (RDI), where its histogram and ribbon offer early exhaustion signals before traditional trend or momentum fades appear. On raw momentum tools, it acts as a filter: softening false breaks and confirming pressure-backed continuation. Run on 15m or lower charts for early entry cues or breakout anticipation. On 1H charts, use it to validate compression resolution or detect fatigue before structure turns. It doesn’t react to price — it forecasts readiness.
Chỉ báo Pine Script®
của TheLeadingIndicator
Delta Zones🔶 Delta Zones — A Precision Tool for Time-Price Mapping 🔶 The Delta Zones indicator is a refined structure-mapping tool that dynamically tracks zones of dominant trading activity across recent sessions. These zones are projected forward in time, offering traders a reliable visual guide to where significant interactions between buyers and sellers are likely to take place. This tool was designed for intraday use, but its adaptability makes it powerful even on higher timeframes, giving traders insights into market behavior without the noise. You need to change session setting from indicator to higher TF that the chart. For intra, its by default on daily. 🔧 What This Indicator Does Detects and displays the key activity zone for the current session (today). Recalls the most active zone from the previous session, allowing you to track momentum or reversal bias. Color codes each zone based on where price currently trades relative to it: Neutral gradient (orange/white) for today’s zone, showing where price is consolidating or reacting. Bullish green fade if price is trading above yesterday’s zone. Bearish red fade if price is trading below yesterday’s zone. Extends each zone forward (default 200 bars) so you can observe price behavior as it revisits these areas over time. 📈 How to Use Delta Zones Trend Continuation: If price pushes beyond today's zone and maintains momentum, it may suggest strength in that direction. Watch how price reacts on retests of this zone. Fade or Mean Reversion: When price strays far from a Delta Zone and struggles to gain ground, it often rotates back into that region. These situations can offer attractive risk-reward setups. Zone Polarity from Prior Sessions: Yesterday’s zone serves as a directional cue — if price opens and stays above it (green-filled), sentiment favors strength. If it stays below (red-filled), weakness may persist. Support/Resistance Anchors: Use zones as dynamic S/R levels — watch for wick tests, engulfing candles, or volume surges at zone edges for potential trade entries or exits. 🎛️ Inputs You Can Control Session Length (Default: Daily): Defines how often a new zone is calculated. 💡 Pro Tip These zones act like magnetic fields around price — not only can they contain price, but they also attract it. The key is to recognize when price is respecting, rejecting, or absorbing at the edges of the zone. Pair Delta Zones with your favorite price action, momentum, or volume tools for sharper decision-making. For example, "Accumulation/Distribution Money Flow" script which I published few days ago. ⚠️ Note This is a conceptually adaptive framework designed to simplify the visual structure of the market. While no model guarantees predictive accuracy, Delta Zones are especially useful for contextualizing price behavior and anticipating where meaningful reactions may occur. This is an educational idea, use it at your own risk. Past performance does not guarantee future success.
Chỉ báo Pine Script®
của Pratik_4Clover
3
RVOL Effort Matrix💪🏻 RVOL Effort Matrix is a tiered volume framework that translates crowd participation into structure-aware visual zones. Rather than simply flagging spikes, it measures each bar’s volume as a ratio of its historical average and assigns to that effort dynamic tiers, creating a real-time map of conviction , exhaustion , and imbalance —before price even confirms. ⚖️ At its core, the tool builds a histogram of relative volume (RVOL). When enabled, a second layer overlays directional effort by estimating buy vs sell volume using candle body logic. If the candle closes higher, green (buy) volume dominates. If it closes lower, red (sell) volume leads. These components are stacked proportionally and inset beneath a colored cap line—a small but powerful layer that maintains visibility of the true effort tier even when split bars are active. The cap matches the original zone color, preserving context at all times. Coloration communicates rhythm, tempo, and potential turning points: • 🔴 = structurally weak effort, i.e. failed moves, fake-outs or trend exhaustion • 🟡 = neutral volume, as seen in consolidations or pullbacks • 🟢 = genuine commitment, good for continuation, breakout filters, or early rotation signals • 🟣 = explosive volume signaling either climax or institutional entry—beware! Background shading (optional) mirrors these zones across the pane for structural scanning at a glance. Volume bars can be toggled between full-stack mode or clean column view. Every layer is modular—built for composability with tools like ZVOL or OBVX Conviction Bias. 🧐 Ideal Use-Cases: • 🕰 HTF bias anchoring → LTF execution • 🧭 Identifying when structure is being driven by real crowd pressure • 🚫 Fading green/fuchsia bars that fail to break structure • ✅ Riding green/fuchsia follow-through in directional moves 🍷 Recommended Pairings: • ZVOL for statistically significant volume anomaly detection • OBVX Conviction Bias ↔️ for directional confirmation of effort zones • SUPeR TReND 2.718 for structure-congruent entry filtering • ATR Turbulence Ribbon to distinguish expansion pressure from churn 🥁 RVOL Effort Matrix is all about seeing—how much pressure is behind a move, whether that pressure is sustainable, and whether the crowd is aligned with price. It's volume, but readable. It’s structure, but dynamic. It’s the difference between obeying noise and trading to the beat of the market.
Chỉ báo Pine Script®
của TheLeadingIndicator
1
7-Channel Trend Meter v3🔥 7-Channel Trend Meter – Ultimate Trend Confirmation Tool 💹 Purpose: Supplementary indicator used as confirmation The 7-Channel Trend Meter offers an all-in-one confirmation system that combines 7 high-accuracy indicators into one easy-to-read visual tool. Say goodbye to guesswork and unnecessary tab-switching—just clear, actionable signals for smarter trades. Whether you're trading stocks, crypto, or forex, this indicator streamlines your decision-making process and enhances your strategy’s performance. ⚙️ What’s Inside The Box? Here is each tool that the Trend Meter uses, and why/how they're used: Average Directional Index: Confirms market strength ✅ Directional Movement Index: Confirms trend direction ✅ EMA Cross: Confirms reversals in trend through average price ✅ Relative Strength Index: Confirms trend through divergences ✅ Stochastic Oscillator: Confirms shifts in momentum ✅ Supertrend: Confirms trend-following using ATR calculations ✅ Volume Delta: Confirms buying/selling pressure weight by finding differences ✅ 🧾 How To Read It: 🟨 Bar 1 – Market Strength Meter: Light Gold 🟡: Strong market with trending conditions. Dark Gold 🟤: Weakening market or consolidation—proceed with caution. 📊 Bars 2 to 7 – Trend Direction Confirmations: 🟩 Green: Bullish signal, uptrend likely. 🟥 Red: Bearish signal, downtrend likely. 💯 Why it's helpful to traders: ✅ 7 Confirmations in 1 View: No need to flip between multiple charts. ✅ Visual Clarity: Spot trends instantly with a quick glance. ✅ Perfect for Entry Confirmation: Confirm trade signals before pulling the trigger. ✅ Boosts Your Win Rate: Make data-backed decisions, not guesses. ✅ Works Across Multiple Markets: Stocks, crypto, forex—you name it 🌍. 🤔 "What's with the indicator mashup/How do these components work together? 🤔 The 7-Channel Trend Meter is designed as an original and useful tool that integrates multiple indicators to enhance trading decisions, rather than merely combining existing tools without logical coherence. This strategic mashup creates a comprehensive analysis framework that offers deeper insights into market conditions by capitalizing on each component's unique strengths. The careful integration of seven indicators creates a unified system that eliminates conflicting signals and enhances the decision-making process. Rather than simply merging indicators for the sake of it, the 7-Channel Trend Meter is designed to streamline trading strategies, making it a practical tool for traders across various markets. By leveraging the combined strengths of these indicators, traders can act with greater confidence, backed by comprehensive data rather than fragmented insights. Here’s how they synergistically work together: Average Directional Index (ADX) and Directional Movement Index (DMI): The reason for this mashup is because ADX indicates the strength of the prevailing trend, while the DMI pinpoints its direction. Together, they equip traders with a dual framework that not only identifies whether to engage with a trend but also quantifies its strength, allowing for more decisive trading strategies. EMA Cross: The reason for this addition to the mashup is because this tool signals potential trend reversals by identifying moving average crossovers. When combined with the ADX and DMI, traders can better differentiate between genuine trend shifts and market noise, leading to more accurate entries. Relative Strength Index (RSI) and Stochastic Oscillator: The reason for this mashup is because by using both momentum indicators, traders gain a multifaceted view of market dynamics. The RSI assesses overbought or oversold conditions, while the Stochastic Oscillator confirms momentum shifts. When both agree with the trend signals from the DMI, it enhances the reliability of reversal or continuation strategies. Supertrend: The reason for this addition to the mashup is because as a trailing stop based on market volatility, the Supertrend indicator works hand-in-hand with the ADX’s strength assessment, allowing traders to ride strong trends while managing risk. This cohesion prevents premature exits during minor pullbacks. Volume Delta: The reason for this addition to the mashup is because integrating volume analysis helps validate signals from the price action indicators. Significant volume behind a price movement reinforces the likelihood of its continuation, ensuring that traders can act on well-supported signals. 🔍 How it does what it says it does 🔍 While the exact calculations remain proprietary, the following outlines how the components synergistically work to aid traders in making informed decisions: Market Strength Assessment: Average Directional Index (ADX) This component is used as confirmation by measuring the strength of the market trend on a scale from 0 to 100. A reading above 20 generally indicates a strong trend, while readings below 20 suggest sideways movement. The Trend Meter flags strong trends, effectively helping traders identify optimal conditions for entering positions. Trend Direction Confirmation: Directional Movement Index (DMI) This component is used as confirmation by distinguishing between bullish and bearish trends by evaluating price movements. This combination allows traders to confirm not only if a trend exists but also its direction, informing whether to buy or sell. Trend Reversal Detection: Exponential Moving Average (EMA) Cross This component is used as confirmation by calculating two EMAs (one shorter and one longer) to identify potential reversal points. When the shorter EMA crosses above the longer EMA, it signals a bullish reversal, and vice versa for bearish reversals. This helps traders pinpoint optimal entry or exit points. Momentum Analysis: Relative Strength Index (RSI) and Stochastic Oscillator These components are used as confirmation by providing insights into momentum. The RSI assesses the speed and change of price movements, indicating overbought or oversold conditions. The Stochastic Oscillator compares a particular closing price to a range of prices over a specified period. This helps identify whether momentum is slowing or speeding up, offering a clear view of potential reversal points. When both the RSI and Stochastic Oscillator converge on signals, it increases the reliability of those signals in trading decisions. Volatility-Based Trend Following: Supertrend This component is used as confirmation by utilizing Average True Range (ATR) calculations to help traders stay in momentum-driven trades by providing dynamic support and resistance levels that adapt to volatility. This enables better risk management while allowing traders to capture stronger trends. Volume Confirmation: Volume Delta This component is used as confirmation by analyzing buying and selling pressure by measuring the difference between buy and sell volumes, offering critical insights into market sentiment. Significant volume behind a price movement increases confidence in the sustainability of that move. 🧠 Pro Tip: When all 7 bars line up in green or red, it’s time to take action: load up for a confirmed move or sit back and wait for market confirmation. Let the Trend Meter guide your strategy with precision. Conclusion: Integrate the 7-Channel Trend Meter as useful confirmation for your TradingView strategy and stop trading like the average retail trader. This tool eliminates the noise and helps you stay focused on high-confidence trades.
Chỉ báo Pine Script®
của ftwtactical
3
Volumatic Trend [ChartPrime] A unique trend-following indicator that blends trend logic with volume visualization, offering a dynamic view of market momentum and activity. It automatically detects trend shifts and paints volume histograms at key levels, allowing traders to easily spot strength or weakness within trends. ⯁ KEY FEATURES Trend Detection System: Uses a custom combination of weighted EMA (swma) and regular EMA to detect trend direction. A diamond appears on trend shift, indicating the starting point of a new bullish or bearish phase. Volume Histogram Zones: At each new trend, the indicator draws two horizontal zones (top and bottom) and visualizes volume activity within that trend using dynamic histogram candles. Gradient-Based Candle Coloring: Candle color is blended with a gradient based on volume intensity. This helps highlight where volume spikes occurred, making it easy to identify pressure points. Volume Summary Labels: A label at the end of each trend zone displays two critical values: - Delta: net volume difference between bullish and bearish bars. - Total: overall volume accumulated during the trend. ⯁ HOW TO USE Monitor diamond markers to identify when a new trend begins. Use volume histogram spikes to assess if the trend is supported by strong volume or lacking participation. A high delta with strong total volume in a trend indicates institutional support. Compare gradient strength of candles—brighter areas represent higher-volume trading activity. Can be used alone or combined with other confirmation tools like structure breaks, liquidity sweeps, or order blocks. ⯁ CONCLUSION Volumatic Trend gives you more than just trend direction—it provides insight into the force behind it. With volume-graded candles and real-time histogram overlays, traders can instantly assess whether a trend is backed by conviction or fading strength. A perfect tool for swing traders and intraday strategists looking to add volume context to their directional setups.
Chỉ báo Pine Script®
của ChartPrime
21
Zig Zag Trend Metrics“ Zig Zag Trend Metrics ” is a highly versatile indicator, built on the classic Zig Zag concept and thoughtfully designed for technical traders seeking a deeper, more structured view of market dynamics. This tool identifies significant swing highs and lows, classifies them, and annotates each with key metrics, offering a precise snapshot of each movement. It enhances visual analysis by drawing connecting lines that outline the flow of market structure, making trend progression and reversals instantly recognizable. Beyond visual mapping, it features a compact, real-time statistics table that calculates the average price and time deltas for both bullish and bearish swings, giving traders deep insights into trend momentum and rhythm. With extensive customization options, this indicator adapts seamlessly to vast trading styles or chart setups, empowering traders to spot patterns, evaluate trend strength, and make more confident, data-backed decisions. ❖ FEATURES ✦ Automatic Swing Detection At its core, this indicator automatically identifies swing highs and lows based on a customizable lookback period (default: 10 bars). ✦ Labeling Swing Points Each swing is visualized with a label that includes: Swing Classification : “HH” (Higher High), “LH” (Lower High), “LL” (Lower Low), or “HL” (Higher Low). Price Difference : Displayed in percentage or absolute value from the previous opposite swing. Time Difference : The number of bars since the previous swing of the opposite type. These labels offer traders clear, immediate insight into price movements and structural changes. ✦ Visual Lines The indicator draws three types of lines: Bullish Lines: Connect recent swing lows to new swing highs, indicating uptrends. Bearish Lines: Connect recent swing highs to new swing lows, indicating downtrends. Range Lines: Connect consecutive highs or lows to outline price channels. Each line type can be color-coded and customized for visibility. ✦ Statistics Table An on-screen metrics table provides a live summary of trends. Script uses Relative Averaging to smooth price and time changes. This prevents outliers from distorting the data and provides a more reliable sense of typical swing behavior. Uptrend Metrics: Shows average price and time differences from recent bullish swings. Downtrend Metrics: Shows the same for bearish swings. 🛠️ Customization Options Ability to tailor the indicator to suit their strategy and aesthetic preferences: Swing Period: Adjust sensitivity to short- or long-term swings. Color Settings: Customize line and label colors. Label Display: Choose between absolute or percentage price differences. Table Settings: Modify size, location, or visibility. This makes the indicator highly flexible and useful across various timeframes and assets.
Chỉ báo Pine Script®
của fract
47
Trendline Breakout Navigator [LuxAlgo]The Trendline Breakout Navigator indicator shows three trendlines, representing trends of different significance between Swing Points. Dots highlight a Higher Low (HL) or Lower High (LH) that pierces through the Trendline without the closing price breaking the Trendline. A bar color and background color option is included, which offers insights into the price against the trendlines. 🔶 USAGE Trendlines (TL) are drawn, starting as a horizontal line from a Swing Point. When an HL (in the case of a bullish TL) or an LH (bearish TL) is found, this Swing Point is connected to the first Swing Point. In both cases, the TL can be optimized when one or more historical close prices breach the TL (see DETAILS). A solid-styled long-term trendline represents the overall market direction, while a dashed-styled medium-term trendline captures medium-term movements within the long-term trend. Finally, a dotted-styled short-term trendline tracks short-term fluctuations. 🔹 Swing Points vs. Trend A "Higher High" (HH) or "Lower Low" (LL) will initialize a new trendline, respectively, starting from the previous "Swing Low" or Swing High". To spot the trend shift, "HH/LL" labels and an optional background color are included. They can be enabled/disabled or set at "Long, Medium, or Short" term TL (Settings—"MS", "HH/LL" and "Background Color"). These features are linked to one Trendline of choice only. Where the "HH/LL" labels can show a potential trend shift, the background color is: Green from the moment the close price breaks above a bearish trendline or when an HH occurs Red from the moment the close price breaks below a bullish trendline or when an LL occurs 🔹 Bar Color The bar color will depend on the location of the closing price against the three trendlines. When a trendline is unavailable (for example, if the close price breaks the TL and there is no HH/LL), the last known trendline value will be considered. All three trendlines influence the bar color. If the close price is above the "Long Term" TL, the bar color will show a gradient of green, darker when the close price is below the "Medium Term" and/or "Short Term" TLs. On the other hand, when the close price is below the "Long Term" TL, the bar color will show a gradient of red, which becomes darker when the close price is above the "Medium Term" and/or "Short Term" TLs. To keep the above example simple, only the "Long Term" TL is considered. The white line (not included in the script) resembles the actual value of the TL at each bar, where you can see the effect on the bar color. Combined with the trendlines and dots, the bar color can provide extra depth and insights into the underlying trends. 🔹 Tested Trendlines If a new HL/LH pierces the Trendline without the close price breaking the Trendline, the Trendline will be updated. The exact location where the price exceeded the Trendline is visualized by a dot, colored blue on a bullish trendline and orange when bearish. These dots can be indicative of a potential trend continuation or reversal. 🔹 Higher TimeFrame Option The "Period" setting enables users to visualize higher-timeframe trendlines as long as the line length doesn't exceed 5000 bars. 🔶 DETAILS When a new trendline is drawn, the script first draws a preliminary line and then checks whether a historical close price exceeded this line above (in the case of a bearish TL) or below (in a bullish case). Subsequently, the most valid point in between is chosen as the starting point of the Trendline. 🔶 SETTINGS Period: Choose "chart" for trendlines from the current chart timeframe, or choose a higher timeframe 🔹 Swing Length Toggle and Swing Length for three trendlines: Period used for the swing detection, with higher values returning longer-term Swing Levels. 🔹 Style Trendline: color for bullish/bearish Trendline Wick Dot: color for bullish/bearish trendline test Term: Long-, medium- or short-term HH/LL: Show HH/LL labels (with or without previous Swing High/Low) of chosen Term Background Color: Green when the closing price is above the trendline of choice, red otherwise Bar Color
Chỉ báo Pine Script®
của LuxAlgo
21
Volumen trend indicator 5MVOLUMEN TREND INDICATOR Introduction This indicator on TradingView provides a combination of technical analysis through a data table and visual elements on the chart. Its purpose is to provide a comprehensive view of the analyzed asset, facilitating decision-making. How It Works The indicator operates on two levels: Data Table: Displays key information about the asset's trend. Includes metrics such as the current price, percentage change, volatility, and other relevant variables. Can be customized to include additional indicators as needed. Provides a quick analysis without the need to interpret complex charts. Technical Elements on the Chart: Incorporates dynamic support and resistance lines. Can include moving averages, Bollinger Bands, RSI, or other custom indicators. Offers visual alerts for significant changes in the asset's trend. Facilitates detailed technical analysis through direct observation of patterns and signals. Default Technical Indicators The indicator comes with the following default pre-configured technical indicators: Exponential Moving Average (EMA) 9: This EMA responds more quickly to price movements, making it ideal for identifying short-term trends. It is generally used to detect crossovers with other EMAs or prices and is considered an entry or exit signal. Exponential Moving Average (EMA) 21: The 21-period EMA is used to identify medium-term trends. Its interaction with the 9 EMA is key to confirming buy or sell signals when both cross. RSI (Relative Strength Index): It is used to measure the magnitude of recent gains and losses of an asset, helping to identify overbought or oversold conditions. Bollinger Bands: These bands help identify volatility levels and potential reversal points. Price touching the upper or lower bands can be an important signal of trend change or continuation. Customization The user can modify several aspects of the indicator, such as: Colors and styles of visual elements on the chart. Types of indicators to include in the table. Configuration of alerts and notifications. Time interval for calculations and data updates. EMA values (the periods can be changed if other configurations are desired). Recommended Usage To make the most of the indicator: Use the data table to get an overview of the asset. Analyze the technical elements on the chart to confirm trends. Set alerts to avoid missing key opportunities. Compare the information with other indicators and data sources before making decisions. Precautions and Best Practices Avoid relying solely on the indicator: Complement it with other technical and fundamental analysis. Adjust the settings according to the asset's volatility: Not all strategies work the same across different markets. Don’t overload the chart with too many elements: This can create visual noise and confusion in interpretation. Test it on a demo account before trading live: To familiarize yourself with the indicator's functionality and adjustments. ---------------------------------------------- Remember that no system is perfect, keep these considerations in mind for this indicator: Do not trade when a signal appears during an opposite trend: Do not trade when the market is uncertain in its direction or within a parallel channel:
Chỉ báo Pine Script®
của Javieresfeliz
1
DAMA OSC - Directional Adaptive MA OscillatorOverview: The DAMA OSC (Directional Adaptive MA Oscillator) is a highly customizable and versatile oscillator that analyzes the delta between two moving averages of your choice. It detects trend progression, regressions, rebound signals, MA cross and critical zone crossovers to provide highly contextual trading information. Designed for trend-following, reversal timing, and volatility filtering, DAMA OSC adapts to market conditions and highlights actionable signals in real-time. Features: Support for 11 custom moving average types (EMA, DEMA, TEMA, ALMA, KAMA, etc.) Customizable fast & slow MA periods and types Histogram based on percentage delta between fast and slow MA Trend direction coloring with “Green”, “Blue”, and “Red” zones Rebound detection using close or shadow logic Configurable thresholds: Overbought, Oversold, Underbought, Undersold Optional filters: rebound validation by candle color or flat-zone filter Full visual overlay: MA lines, crossover markers, rebound icons Complete alert system with 16 preconfigured conditions How It Works: Histogram Logic: The histogram measures the percentage difference between the fast and slow MA: hist_value = ((FastMA - SlowMA) / SlowMA) * 100 Trend State Logic (Green / Blue / Red): Green_Up = Bullish acceleration Blue_Up (or Red_Up, depending the display settings) = Bullish deceleration Blue_Down (or Green_Down, depending the display settings) = Bearish deceleration Red_Down = Bearish acceleration Rebound Logic: A rebound is detected when price: Crosses back over a selected MA (fast or slow) After being away for X candles (rebound_backstep) Optional: filtered by histogram zones or candle color Inputs: Display Options: Show/hide MA lines Show/hide MA crosses Show/hide price rebounds Enable/disable blue deceleration zones DAMA Settings: Fast/Slow MA type and length Source input (close by default) Overbought/Oversold levels Underbought/Undersold levels Rebound Settings: Use Close and/or Shadow Rebound MA (Fast/Slow) Candle color validation Flat zone filter rebounds (between UnderSold and UnderBought) Available MA type: SMA (Simple MA) EMA (Exponential MA) DEMA (Double EMA) TEMA (Triple EMA) WMA (Weighted MA) HMA (Hull MA) VWMA (Volume Weighted MA) Kijun (Ichimoku Baseline) ALMA (Arnaud Legoux MA) KAMA (Kaufman Adaptive MA) HULLMOD (Modified Hull MA, Same as HMA, tweaked for Pine v6 constraints) Notes: **DEMA/TEMA** reduce lag compared to EMA, useful for faster reaction in trending markets. **KAMA/ALMA** are better suited to noisy or volatile environments (e.g., BTC). **VWMA** reacts strongly to volume spikes. **HMA/HULLMOD** are great for visual clarity in fast moves. Alerts Included (Fully Configurable): Golden Cross: Fast MA crosses above Slow MA Death Cross: Fast MA crosses below Slow MA Bullish Rebound: Rebound from below MA in uptrend Bearish Rebound: Rebound from above MA in downtrend Bull Progression: Transition into Green_Up with positive delta Bear Progression: Transition into Red_Down with negative delta Bull Regression: Exit from Red_Down into Blue/Green with negative delta Bear Regression: Exit from Green_Up into Blue/Red with positive delta Crossover Overbought: Histogram crosses above Overbought Crossunder Overbought: Histogram crosses below Overbought Crossover Oversold: Histogram crosses above Oversold Crossunder Oversold: Histogram crosses below Oversold Crossover Underbought: Histogram crosses above Underbought Crossunder Underbought: Histogram crosses below Underbought Crossover Undersold: Histogram crosses above Undersold Crossunder Undersold: Histogram crosses below Undersold Credits: Created by Eff_Hash. This code is shared with the TradingView community and full free. do not hesitate to share your best settings and usage.
Chỉ báo Pine Script®
của Eff_Hash
Volume Delta Average by Periods OscillatorVDAP Oscillator (Volume-Delta Average by Periods Oscillator) is a supercharged trading tool that helps you spot trends and assess their strength with ease! 🚀🔍 It's like a VZO on steroids—giving you an even more powerful and clear understanding of market shifts. By using the average volume delta across custom periods, it shows how market sentiment shifts, giving you a crystal-clear view of buying and selling pressures. With 12 vibrant color-coded zones, it’s like a rainbow for your charts! 🌈📊 Along with the colorful zones, this oscillator has an intuitive table that breaks down the trend, its strength, percentage, and visual rating using emojis. Whether you're a rookie or a seasoned pro, it’s designed to be ultra-accessible and easy to read! 📈✨ The table lets you see the trend's strength at a glance, so you can make quick decisions without any confusion. 🧠✅ Key Features: ✅ 12 color-coded zones for clear trend direction and strength 🌈 ✅ Customizable periods to fit your analysis needs ⏳ ✅ Trend strength table with easy-to-understand metrics 💪 ✅ Change percentage 📉📈 ✅ Emoji-based visual ratings ⭐️ ✅ User-friendly interface for effortless reading 👀 ✅ Accurate and efficient for better decision-making ⚡ What We're Missing: ❌ No overly complicated settings – keeping it simple, no unnecessary clutter ⚙️ ❌ No complex back-testing options for deep strategy testing 📉 ❌ No built-in real-time alerts for instant notifications ⏰ ❌ Doesn’t overcomplicate things with endless features – it’s focused, and that’s a good thing! 🎯 In short, the VDAP Oscillator is your go-to, colorful tool for analyzing market trends quickly and accurately. Whether you're trading stocks 📉, crypto 💎, or forex 💱, this indicator will keep you in the loop and ahead of the game!
Chỉ báo Pine Script®
của ftwtactical
19
IDX - 5UPThe UDX-5UP is a custom indicator designed to assist traders in identifying trends, entry and exit signals, and market reversal moments with greater accuracy. It combines price analysis, volume, and momentum (RSI) to provide clear buy ("Buy") and sell ("Sell") signals across any asset and timeframe, whether you're a scalper on the 5M chart or a swing trader on the 4H chart. Inspired by robust technical analysis strategies, the UDX-5UP is ideal for traders seeking a reliable tool to operate in volatile markets such as cryptocurrencies, forex, stocks, and futures. Components of the UDX-5UP The UDX-5UP consists of three main panels that work together to provide a comprehensive view of the market: Main Panel (Price): Pivot Supertrend: A dynamic line that changes color to indicate the trend. Green for an uptrend (look for buys), red for a downtrend (look for sells). SMAs (Simple Moving Averages): Two SMAs (8 and 21 periods) to confirm the trend direction. When the SMA 8 crosses above the SMA 21, it’s a bullish signal; when it crosses below, it’s a bearish signal. Entry/Exit Signals: "Buy" (green) and "Sell" (red) labels are plotted on the chart when entry or exit conditions are met. Volume Panel: Colored Volume Bars: Green bars indicate dominant buying volume, while red bars indicate dominant selling volume. Volume Moving Average (MA 20): A blue line that helps identify whether the current volume is above or below the average, confirming the strength of the movement. RSI Panel: RSI (Relative Strength Index): Calculated with a period of 14, with overbought (70) and oversold (30) lines to identify momentum extremes. Divergences: The indicator detects divergences between the RSI and price, plotting signals for potential reversals. How the UDX-5UP Works The UDX-5UP uses a combination of rules to generate buy and sell signals: Buy Signal ("Buy"): The Pivot Supertrend changes from red to green. The SMA 8 crosses above the SMA 21. The volume is above the MA 20, with green bars (indicating buying pressure). The RSI is rising and, ideally, below 70 (not overbought). Example: On the 4H chart, the price of Tether (USDT) is at 0.05515. The Pivot Supertrend turns green, the SMA 8 crosses above the SMA 21, the volume shows green bars above the MA 20, and the RSI is at 46. The UDX-5UP plots a "Buy". Sell Signal ("Sell"): The Pivot Supertrend changes from green to red. The SMA 8 crosses below the SMA 21. The volume is above the MA 20, with red bars (indicating selling pressure). The RSI is falling and, ideally, above 70 (overbought). Example: On the 4H chart, the price of Tether rises to 0.05817. The Pivot Supertrend turns red, the SMA 8 crosses below the SMA 21, the volume shows red bars, and the RSI is above 70. The UDX-5UP plots a "Sell". RSI Divergences: The indicator identifies bullish divergences (price makes a lower low, but RSI makes a higher low) and bearish divergences (price makes a higher high, but RSI makes a lower high), plotting alerts for potential reversals. Adjustable Settings The UDX-5UP is highly customizable to suit your trading style: Pivot Supertrend Period: Default is 2. Increase to 3 or 4 for more conservative signals (fewer false positives, but more lag). SMA Periods: Default is 8 and 21. Adjust to 5 and 13 for smaller timeframes (e.g., 5M) or 13 and 34 for larger timeframes (e.g., 1D). RSI Period: Default is 14. Reduce to 10 for greater sensitivity or increase to 20 for smoother signals. Overbought/Oversold Levels: Default is 70/30. Adjust to 80/20 in volatile markets. Display Panels: You can enable/disable the volume and RSI panels to simplify the chart. How to Use the UDX-5UP Identify the Trend: Use the Pivot Supertrend and SMAs to determine the market direction. Uptrend: look for buys. Downtrend: look for sells. Confirm with Volume and RSI: For buys: Volume above the MA 20 with green bars, RSI rising and below 70. For sells: Volume above the MA 20 with red bars, RSI falling and above 70. Enter the Trade: Enter a buy when the UDX-5UP plots a "Buy" and all conditions are aligned. Enter a sell when the UDX-5UP plots a "Sell" and all conditions are aligned. Plan the Exit: Use Fibonacci levels or support/resistance on the price chart to set targets. Exit the trade when the UDX-5UP plots an opposite signal ("Sell" after a buy, "Buy" after a sell). Tips for Beginners Start with Larger Timeframes: Use the 4H or 1D chart for more reliable signals and less noise. Combine with Other Indicators: Use the UDX-5UP with tools like Fibonacci or the Candles RSI (another powerful indicator) to confirm signals. Practice in Demo Mode: Test the indicator in a demo account before using real money. Manage Risk: Always use a stop-loss and don’t risk more than 1-2% of your capital per trade. Why Use the UDX-5UP? Simplicity: Clear "Buy" and "Sell" signals make trading accessible even for beginners. Versatility: Works on any asset (crypto, forex, stocks) and timeframe. Multiple Confirmations: Combines price, volume, and momentum to reduce false signals. Customizable: Adjust the settings to match your trading style. Author’s Notes The UDX-5UP was developed based on years of trading and technical analysis experience. It is an evolution of tested strategies, designed to help traders navigate volatile markets with confidence. However, no indicator is infallible. Always combine the UDX-5UP with proper risk management and fundamental analysis, especially in unpredictable markets. Feedback is welcome – leave a comment or reach out with suggestions for improvements!
Chỉ báo Pine Script®
của Marrulk
Bitcoin Polynomial Regression ModelThis is the main version of the script. Click here for the Oscillator part of the script. 💡Why this model was created: One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model). This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here . 📉The theory of diminishing returns: This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles. To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/ 🔧Creation of the model: For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section. This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function: ax^3 +bx^2 + cx + d. In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows: Top regression line (x, y) values: 113, 18.6 240, 1004 451, 19128 655, 65502 Bottom regression line (x, y) values: 103, 2.5 267, 211 471, 3193 676, 16255 The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found: Top regression line parameter values: a: 0.000202798 b: 0.0872922 c: -30.88805 d: 1827.14113 Bottom regression line parameter values: a: 0.000138314 b: -0.0768236 c: 13.90555 d: -765.8892 📊Polynomial Regression Oscillator: This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula: normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line) This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here. 🔍Interpretation of the Model: In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom. The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom. Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below. 🔮Future Predictions: Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom: In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top. Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026. Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026. For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow: And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
Chỉ báo Pine Script®
của Cryptonerds
1
Bitcoin Polynomial Regression OscillatorThis is the oscillator version of the script. Click here for the other part of the script. 💡Why this model was created: One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model). This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here . 📉The theory of diminishing returns: This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles. To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/ 🔧Creation of the model: For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section. This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function: ax^3 +bx^2 + cx + d. In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows: Top regression line (x, y) values: 113, 18.6 240, 1004 451, 19128 655, 65502 Bottom regression line (x, y) values: 103, 2.5 267, 211 471, 3193 676, 16255 The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found: Top regression line parameter values: a: 0.000202798 b: 0.0872922 c: -30.88805 d: 1827.14113 Bottom regression line parameter values: a: 0.000138314 b: -0.0768236 c: 13.90555 d: -765.8892 📊Polynomial Regression Oscillator: This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula: normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line) This transformation results in a price value between 0 and 1 between both the regression lines. 🔍Interpretation of the Model: In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom. The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom. Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below. 🔮Future Predictions: Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom: In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top. Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026. Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026. For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow: And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
Chỉ báo Pine Script®
của Cryptonerds
TimeMapTimeMap is a visual price-reference indicator designed to help traders rapidly visualize how current price levels relate to significant historical closing prices. It overlays your chart with reference lines representing past weekly, monthly, quarterly (3-month), semi-annual (6-month), and annual closing prices. By clearly plotting these historical price references, TimeMap helps traders quickly gauge price position relative to historical market structure, aiding in the identification of trends, support/resistance levels, and potential reversals. How it Works: The indicator calculates the precise number of historical bars corresponding to weekly, monthly, quarterly, semi-annual, and annual intervals, dynamically adjusting according to your chart’s timeframe (intraday, daily, weekly, monthly) and chosen market type (Stocks US, Crypto, Forex, or Futures). Historical closing prices from these periods are plotted directly on your chart as horizontal reference lines. For intraday traders, the script accurately calculates historical offsets considering regular and extended trading sessions (e.g., pre-market and after-hours sessions for US stocks), ensuring correct positioning of historical lines. User-Configurable Inputs Explained in Detail: Market Type: Allows you to specify your trading instrument type, automatically adjusting calculations for: - Stocks US (default): 390 minutes per regular session (780 minutes if extended hours enabled), 5 trading days/week. - Crypto: 1440 minutes/day, 7 trading days/week. - Forex: 1440 minutes/day, 5 trading days/week. - Futures: 1320 minutes/day, 5 trading days/week. Show Weekly Close: When enabled, plots a line at the exact closing price from one week ago. Provides short-term context and helps identify recent price momentum. Show Monthly Close: When enabled, plots a line at the exact closing price from one month ago. Helpful for evaluating medium-term price positioning and monthly trend strength. Show 3-Month Close: When enabled, plots a line at the exact closing price from three months ago. Useful for assessing quarterly market shifts, intermediate trend changes, and broader market sentiment. Show 6-Month Close: When enabled, plots a line at the exact closing price from six months ago. Useful for identifying semi-annual trends, significant price pivots, and longer-term support/resistance levels. Show 1-Year Close: When enabled, plots a line at the exact closing price from one year ago. Excellent for assessing long-term market direction and key annual price levels. Enable Smoothing: Activates a Simple Moving Average (SMA) smoothing of historical reference lines, reducing volatility and providing clearer visual references. Recommended for traders preferring less volatile reference levels. Smoothing Length: Determines the number of bars used in calculating the SMA smoothing of historical lines. Higher values result in smoother but slightly delayed reference lines; lower values offer more immediate yet more volatile levels. Use Extended Hours (Intraday Only): When enabled (only applicable for Stocks US), it accounts for pre-market and after-hours trading sessions, providing accurate intraday historical line calculations based on extended sessions (typically 780 minutes/day total). Important Notes and Compliance: - This indicator does not provide trading signals, recommendations, or predictions. It serves purely as a visual analytical tool to supplement traders’ existing methods. - Historical lines plotted are strictly based on past available price data; the indicator never accesses future data or data outside the scope of Pine Script’s standard capabilities. - The script incorporates built-in logic to avoid runtime errors if insufficient historical data exists for a selected timeframe, ensuring robustness even with limited historical bars. - TimeMap is original work developed exclusively by Julien Eche (@Julien_Eche). It does not reuse or replicate third-party or existing open-source scripts. Recommended Best Practices: - Use TimeMap as a complementary analytical reference, not as a standalone strategy or trade decision-making tool. - Adapt displayed historical periods and smoothing settings based on your trading style and market approach. - Default plot colors are optimized for readability on dark-background charts; adjust as necessary according to your preference and chart color scheme. This script is published open-source to benefit the entire TradingView community and fully complies with all TradingView script publishing rules and guidelines.
Chỉ báo Pine Script®
của Julien_Exe
Highest High Line with Multi-Timeframe Supertrend and RSIOverview: This powerful indicator combines three essential elements for traders: Highest High Line – Tracks the highest price over a customizable lookback period across different timeframes. Multi-Timeframe Supertrend – Displays Supertrend values and trend directions for multiple timeframes simultaneously. Relative Strength Index (RSI) – Shows RSI values across different timeframes for momentum analysis. Features: ✅ Customizable Highest High Line: Selectable timeframes: Daily, Weekly, Monthly, Quarterly, Yearly Adjustable lookback period ✅ Multi-Timeframe Supertrend: Supports 1min, 5min, 10min, 15min, 30min, 1H, Daily, Weekly, Monthly, Quarterly, Yearly ATR-based calculation with configurable ATR period and multiplier Identifies bullish (green) & bearish (red) trends ✅ Multi-Timeframe RSI: Calculates RSI for the same timeframes as Supertrend Overbought (≥70) and Oversold (≤30) signals with color coding ✅ Comprehensive Table Display: A clean, structured table in the bottom-right corner Displays Supertrend direction, value, and RSI for all timeframes Helps traders quickly assess trend and momentum alignment How to Use: Use the Highest High Line to identify key resistance zones. Confirm trend direction with Multi-Timeframe Supertrend. Check RSI values to avoid overbought/oversold conditions before entering trades. Align multiple timeframes for stronger confirmation of trend shifts. Ideal For: ✅ Scalpers (lower timeframes: 1m–30m) ✅ Swing Traders (higher timeframes: 1H–D) ✅ Position Traders (Weekly, Monthly, Quarterly) 💡 Tip: Look for Supertrend & RSI confluence across multiple timeframes for higher probability setups.
Chỉ báo Pine Script®
của rakeshios786
Hull Moving Average Adaptive RSI (Ehlers)Hull Moving Average Adaptive RSI (Ehlers) The Hull Moving Average Adaptive RSI (Ehlers) is an enhanced trend-following indicator designed to provide a smooth and responsive view of price movement while incorporating an additional momentum-based analysis using the Adaptive RSI. Principle and Advantages of the Hull Moving Average: - The Hull Moving Average (HMA) is known for its ability to track price action with minimal lag while maintaining a smooth curve. - Unlike traditional moving averages, the HMA significantly reduces noise and responds faster to market trends, making it highly effective for detecting trend direction and changes. - It achieves this by applying a weighted moving average calculation that emphasizes recent price movements while smoothing out fluctuations. Why the Adaptive RSI Was Added: - The core HMA line remains the foundation of the indicator, but an additional analysis using the Adaptive RSI has been integrated to provide more meaningful insights into momentum shifts. - The Adaptive RSI is a modified version of the traditional Relative Strength Index that dynamically adjusts its sensitivity based on market volatility. - By incorporating the Adaptive RSI, the HMA visually represents whether momentum is strengthening or weakening, offering a complementary layer of analysis. How the Adaptive RSI Influences the Indicator: - High Adaptive RSI (above 65): The market may be overbought, or bullish momentum could be fading. The HMA turns shades of red, signaling a possible exhaustion phase or potential reversals. - Neutral Adaptive RSI (around 50): The market is in a balanced state, meaning neither buyers nor sellers are in clear control. The HMA takes on grayish tones to indicate this consolidation. - Low Adaptive RSI (below 35): The market may be oversold, or bearish momentum could be weakening. The HMA shifts to shades of blue, highlighting potential recovery zones or trend slowdowns. Why This Combination is Powerful: - While the HMA excels in tracking trends and reducing lag, it does not provide information about momentum strength on its own. - The Adaptive RSI bridges this gap by adding a clear visual layer that helps traders assess whether a trend is likely to continue, consolidate, or reverse. - This makes the indicator particularly useful for spotting trend exhaustion and confirming momentum shifts in real-time. Best Use Cases: - Works effectively on timeframes from 1 hour (1H) to 1 day (1D), making it suitable for swing trading and position trading. - Particularly useful for trading indices (SPY), stocks, forex, and cryptocurrencies, where momentum shifts are frequent. - Helps identify not just trend direction but also whether that trend is gaining or losing strength. Recommended Complementary Indicators: - Adaptive Trend Finder: Helps identify the dominant long-term trend. - Williams Fractals Ultimate: Provides key reversal points to validate trend shifts. - RVOL (Relative Volume): Confirms significant moves based on volume strength. This enhanced HMA with Adaptive RSI provides a powerful, intuitive visual tool that makes trend analysis and momentum interpretation more effective and efficient. This indicator is for educational and informational purposes only. It should not be considered financial advice or a guarantee of performance. Always conduct your own research and use proper risk management when trading. Past performance does not guarantee future results.
Chỉ báo Pine Script®
của Julien_Exe
1
Machine Learning Trendlines Cluster [LuxAlgo]The ML Trendlines Cluster indicator allows traders to automatically identify trendlines using a machine learning algorithm based on k-means clustering and linear regression, highlighting trendlines from clustered prices. For trader's convenience, trendlines can be filtered based on their slope, allowing them to filter out trendlines that are too horizontal, or instead keep them depending on the user-selected settings. 🔶 USAGE Traders only need to set the number of trendlines (clusters) they want the tool to detect and the algorithm will do the rest. By default the tool is set to detect 4 clusters over the last 500 bars, in the image above it is set to detect 10 clusters over the same period. This approach only focuses on drawing trendlines from prices that share a common trading range, offering a unique perspective to traditional trendlines. Trendlines with a significant slope can highlight higher dispersion within its cluster. 🔹 Trendline Slope Filtering Traders can filter trendlines by their slope to display only steep or flat trendlines relative to a user-defined threshold. The image above shows the three different configurations of this feature: Filtering disabled Filter slopes above threshold Filter slopes below threshold 🔶 DETAILS K-means clustering is a popular machine-learning algorithm that finds observations in a data set that are similar to each other and places them in a group. The process starts by randomly assigning each data point to an initial group and calculating the centroid for each. A centroid is the center of the group. K-means clustering forms the groups in such a way that the variances between the data points and the centroid of the cluster are minimized. The trendlines are displayed according to the linear regression function calculated for each cluster. 🔶 SETTINGS Window Size: Maximum number of bars to get data from Clusters: Maximum number of clusters (trendlines) to detect 🔹 Optimization Maximum Iteration Steps: Maximum loop iterations for cluster computation 🔹 Slope Filter Threshold Multiplier: Multiplier applied to a volatility measure, higher multiplier equals higher threshold Filter Slopes: Enable/Disable Trendline Slope Filtering, select to filter trendlines with slopes ABOVE or BELOW the threshold 🔹 Style Upper Zone: Color to display in the top zone Lower Zone: Color to display in the bottom zone Lines: Style for the lines Size: Line size
Chỉ báo Pine Script®
của LuxAlgo
14
Lowess Channel + (RSI) [ChartPrime]The Lowess Channel + (RSI) indicator applies the LOWESS (Locally Weighted Scatterplot Smoothing) algorithm to filter price fluctuations and construct a dynamic channel. LOWESS is a non-parametric regression method that smooths noisy data by fitting weighted linear regressions at localized segments. This technique is widely used in statistical analysis to reveal trends while preserving data structure. In this indicator, the LOWESS algorithm is used to create a central trend line and deviation-based bands. The midline changes color based on trend direction, and diamonds are plotted when a trend shift occurs. Additionally, an RSI gauge is positioned at the end of the channel to display the current RSI level in relation to the price bands. lowess_smooth(src, length, bandwidth) => sum_weights = 0.0 sum_weighted_y = 0.0 sum_weighted_xy = 0.0 sum_weighted_x2 = 0.0 sum_weighted_x = 0.0 for i = 0 to length - 1 x = float(i) weight = math.exp(-0.5 * (x / bandwidth) * (x / bandwidth)) y = nz(src , 0) sum_weights := sum_weights + weight sum_weighted_x := sum_weighted_x + weight * x sum_weighted_y := sum_weighted_y + weight * y sum_weighted_xy := sum_weighted_xy + weight * x * y sum_weighted_x2 := sum_weighted_x2 + weight * x * x mean_x = sum_weighted_x / sum_weights mean_y = sum_weighted_y / sum_weights beta = (sum_weighted_xy - mean_x * mean_y * sum_weights) / (sum_weighted_x2 - mean_x * mean_x * sum_weights) alpha = mean_y - beta * mean_x alpha + beta * float(length / 2) // Centered smoothing ⯁ KEY FEATURES LOWESS Price Filtering – Smooths price fluctuations to reveal the underlying trend with minimal lag. Dynamic Trend Coloring – The midline changes color based on trend direction (e.g., bullish or bearish). Trend Shift Diamonds – Marks points where the midline color changes, indicating a possible trend shift. Deviation-Based Bands – Expands above and below the midline using ATR-based multipliers for volatility tracking. RSI Gauge Display – A vertical gauge at the right side of the chart shows the current RSI level relative to the price channel. Fully Customizable – Users can adjust LOWESS length, band width, colors, and enable or disable the RSI gauge and adjust RSIlength. ⯁ HOW TO USE Use the LOWESS midline as a trend filter —bullish when green, bearish when purple. Watch for trend shift diamonds as potential entry or exit signals. Utilize the price bands to gauge overbought and oversold zones based on volatility. Monitor the RSI gauge to confirm trend strength—high RSI near upper bands suggests overbought conditions, while low RSI near lower bands indicates oversold conditions. ⯁ CONCLUSION The Lowess Channel + (RSI) indicator offers a powerful way to analyze market trends by applying a statistically robust smoothing algorithm. Unlike traditional moving averages, LOWESS filtering provides a flexible, responsive trendline that adapts to price movements. The integrated RSI gauge enhances decision-making by displaying momentum conditions alongside trend dynamics. Whether used for trend-following or mean reversion strategies, this indicator provides traders with a well-rounded perspective on market behavior.
Chỉ báo Pine Script®
của ChartPrime
7
Logarithmic Regression Channel-Trend [BigBeluga] This indicator utilizes logarithmic regression to track price trends and identify overbought and oversold conditions within a trend. It provides traders with a dynamic channel based on logarithmic regression, offering insights into trend strength and potential reversal zones. 🔵Key Features: Logarithmic Regression Trend Tracking: Uses log regression to model price trends and determine trend direction dynamically. f_log_regression(src, length) => float sumX = 0.0 float sumY = 0.0 float sumXSqr = 0.0 float sumXY = 0.0 for i = 0 to length - 1 val = math.log(src ) per = i + 1.0 sumX += per sumY += val sumXSqr += per * per sumXY += val * per slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX) average = sumY / length intercept = average - slope * sumX / length + slope Regression-Based Channel: Plots a log regression channel around the price to highlight overbought and oversold conditions. Adaptive Trend Colors: The color of the regression trend adjusts dynamically based on price movement. Trend Shift Signals: Marks trend reversals when the log regression line cross the log regression line 3 bars back. Dashboard for Key Insights: Displays: - The regression slope (multiplied by 100 for better scale). - The direction of the regression channel. - The trend status of the logarithmic regression band. 🔵Usage: Trend Identification: Observe the regression slope and channel direction to determine bullish or bearish trends. Overbought/Oversold Conditions: Use the channel boundaries to spot potential reversal zones when price deviates significantly. Breakout & Continuation Signals: Price breaking outside the channel may indicate strong trend continuation or exhaustion. Confirmation with Other Indicators: Combine with volume or momentum indicators to strengthen trend confirmation. Customizable Display: Users can modify the lookback period, channel width, midline visibility, and color preferences. Logarithmic Regression Channel-Trend is an essential tool for traders who want a dynamic, regression-based approach to market trends while monitoring potential price extremes.
Chỉ báo Pine Script®
của BigBeluga
17
Multi-Timeframe RPM Gauges with Custom Timeframes by DiGetIntroducing the **Multi-Timeframe RPM Gauges with Custom Timeframes + RSI Combos (mod) by DiGet** – a cutting-edge TradingView indicator meticulously crafted to revolutionize your market analysis. Imagine having a dynamic dashboard right on your chart that consolidates the power of nine essential technical indicators—RSI, CCI, Stochastic, Williams %R, EMA crossover, Bollinger Bands, ATR, MACD, and Ichimoku Cloud—across multiple timeframes. This indicator not only displays each indicator’s score through an intuitive gauge system but also computes a combined metric to provide you with an at-a-glance understanding of market momentum and potential trend shifts. **Key Features:** - **Multi-Timeframe Insight:** Configure up to four custom timeframes (e.g., 1, 5, 15, 60 minutes) to capture both short-term fluctuations and long-term trends, ensuring you never miss critical market moves. - **Comprehensive Signal Suite:** Benefit from a harmonious blend of signals. Whether you rely on momentum indicators like RSI and CCI, volatility measures like Bollinger Bands and ATR, or trend confirmations via EMA, MACD, and Ichimoku, every metric is normalized into actionable percentages. - **Dynamic, Color-Coded Gauge Display:** A built-in table presents all your data in a clear, color-coded format—green for bullish, red for bearish, and gray for neutral conditions. This visual representation allows you to quickly gauge market sentiment without sifting through complex charts. - **Customizable Layout:** Tailor your experience by toggling individual table columns. Whether you want to focus solely on RSI or dive deep into combined metrics like RSI & CCI or RSI & MACD, the choice is yours. - **Optimized Utility Functions:** Proprietary functions standardize indicator values into percentage scores, making it simpler than ever to compare different signals and spot opportunities in real time. - **User-Friendly Interface:** Designed for both beginners and seasoned traders, the straightforward input settings let you easily adjust technical parameters and timeframes to suit your personal trading strategy. This indicator is not just a tool—it’s your new trading companion. It equips you with a multi-dimensional view of the market, enabling faster, more informed decision-making. Whether you’re scanning across various assets or drilling down on a single chart, the Multi-Timeframe RPM Gauges empower you to interpret market data with unprecedented clarity. Add this indicator to your TradingView chart today and experience a smarter, more efficient way to navigate the markets. Join the community of traders who have elevated their analysis—and be ready to receive countless thanks as you transform your trading strategy!
Chỉ báo Pine Script®
của mikailhs
1
RSI with Trend LinesThe RSI with Trend Lines indicator is a tool designed to analyze the behavior of the Relative Strength Index (RSI) combined with dynamic trend lines. This indicator not only provides the standard RSI reading but also identifies pivot points on the RSI and draws bullish and bearish trend lines based on these points. It also includes customizable options for adjusting trend lines, displaying the RSI moving average, and highlighting key levels such as overbought, oversold, and the center line. This indicator is ideal for finding and identifying clear trends in the RSI and taking advantage of market breakout or consolidation signals. It also includes a table with the POC value, which represents the price level at which the most trading activity has occurred, indicating the highest liquidity and highest trading volume. Key Features: 1. Basic RSI: • Calculates the RSI using a configurable period length (default 14). • Colors the RSI based on its direction (green for rising, red for falling) and its position relative to the center line (50). 2. Key Levels: • Displays overbought (70 and 80), oversold (20 and 30), and the center line (50) levels for easy visual interpretation. 3. RSI Moving Average: • Enables and configures an RSI moving average (SMA, EMA, WMA, or ALMA) to smooth out fluctuations and detect clearer trends. 4. Dynamic Trend Lines: • Identifies pivot points on the RSI and draws bullish and bearish trend lines. • Trend lines can be extended into the future or limited to the visible range. • Includes options to display broken lines (trends that are no longer valid) and customize the style (solid or dashed). 5. Pivot Points: • Displays the high and low pivot points on the chart for a better understanding of trend changes. 6. Advanced Customization: • Adjust the pivot point period. • Control the number of pivot points to consider for trend lines. • Customize the line thickness and style. How to Use the Indicator: 1. RSI Interpretation: • Overbought Zone (RSI > 70): Indicates that the asset may be overvalued and could correct downward. • Oversold Zone (RSI < 30): Suggests that the asset may be undervalued and could rebound. • Centerline Crossover (50): A cross above 50 indicates bullish strength, while a cross below suggests weakness. 2. Trend Lines: • Bullish Lines: Drawn when the RSI forms ascending low pivot points. These lines represent dynamic support. • Bearish Lines: These are drawn when the RSI forms descending high pivot points. These lines represent dynamic resistance. • Broken Lines: When a trend line becomes invalid (the RSI breaks the line), they are displayed in a dotted style to highlight the breakout. 3. Possible Trading Signals: • Buy: When the RSI breaks an upward downtrend line. • Sell: When the RSI breaks a downward uptrend line. • Trend Confirmation: When the RSI stays within a valid trend line, it suggests that the current trend is strong. 4. A chart with the POC value: • The point of control is a price level at which the highest trading volume occurs in a given time period. It is a key component of the Volume Profile indicator, which displays volume by price. • Use of the POC in trading: • The POC is used to identify areas of high interest and liquidity for trading. • The POC provides information about the equilibrium point where buyers and sellers are most evenly matched. • Therefore, it can be considered a zone of interest, meaning it can act as support or resistance.
Chỉ báo Pine Script®
của OskarGallard
18
DenP Ichimoku Interpreter (DII)A simple indicator using Ishimoku as a basis, giving entry and exit signals. Components of the Ichimoku Cloud The Ichimoku system consists of multiple lines that help traders understand market trends, momentum, and potential reversals. 1. Tenkan-Sen (Conversion Line) - Blue Formula: (Highest High + Lowest Low) / 2 over the last 9 periods (default). Purpose: Measures short-term trend direction. Interpretation: Upward movement: Indicates bullish momentum. Downward movement: Indicates bearish momentum. Flat line: Indicates consolidation. 2. Kijun-Sen (Base Line) - Red Formula: (Highest High + Lowest Low) / 2 over the last 26 periods (default). Purpose: Represents medium-term trend. Interpretation: Price above Kijun-Sen: Bullish signal. Price below Kijun-Sen: Bearish signal. Flat Kijun-Sen: Market in consolidation. 3. Senkou Span A (Leading Span A) - Light Green Formula: (Tenkan-Sen + Kijun-Sen) / 2, plotted 26 periods ahead. Purpose: Forms one of the Ichimoku Cloud boundaries. Interpretation: If Senkou Span A is rising, the market is bullish. If Senkou Span A is falling, the market is bearish. 4. Senkou Span B (Leading Span B) - Light Red Formula: (Highest High + Lowest Low) / 2 over the last 52 periods, plotted 26 periods ahead. Purpose: Forms the second boundary of the Ichimoku Cloud. Interpretation: If price is above the cloud, the market is in a strong uptrend. If price is below the cloud, the market is in a strong downtrend. If price is inside the cloud, the market is consolidating. 5. Kumo (Cloud) The area between Senkou Span A and Senkou Span B is shaded. Green Cloud (Span A above Span B): Bullish trend. Red Cloud (Span B above Span A): Bearish trend. The thickness of the cloud represents market volatility. 6. Chikou Span (Lagging Line) - Green Formula: Current closing price plotted 26 periods back. Purpose: Confirms trend direction. Interpretation: Chikou Span above price 26 periods ago: Bullish. Chikou Span below price 26 periods ago: Bearish. Buy and Sell Conditions The indicator generates buy and sell signals based on Ichimoku components. 1. Kijun Cross (Medium-Term Trend) Buy Signal: When the closing price crosses above the Kijun-Sen (red line). Sell Signal: When the closing price crosses below the Kijun-Sen. 2. Cloud Breakout (Senkou Span Cross) Buy Signal: When Senkou Span A is above Senkou Span B, and the price crosses above the cloud. Indicates a strong uptrend. Sell Signal: When Senkou Span B is above Senkou Span A, and the price crosses below the cloud. Indicates a strong downtrend. 3. Chikou Span Confirmation (Momentum Confirmation) Buy Signal: If Chikou Span (green) crosses above past price action, it confirms a bullish trend. Used to validate Kijun and Cloud Buy signals. Sell Signal: If Chikou Span crosses below past price action, it confirms a bearish trend. Visual Signals The indicator plots triangles on the chart to indicate buy and sell signals: Kijun Buy Signal: Upward triangle (green). Kijun Sell Signal: Downward triangle (red). Cloud Buy Signal: Upward triangle (green) near the cloud. Cloud Sell Signal: Downward triangle (red) near the cloud. Chikou Confirmation Buy: Upward triangle (green, confirming previous signals). Chikou Confirmation Sell: Downward triangle (red, confirming previous signals). Additional Features Customizable Colors & Settings: Users can adjust colors, time periods, and display settings. On-Chart Table: Displays current trend interpretations for easy reference. How to Use the Indicator? Check the Cloud Position: Price above the cloud = bullish. Price below the cloud = bearish. Price inside the cloud = consolidation. Look for Kijun Crosses: Buy when price crosses above Kijun-Sen. Sell when price crosses below Kijun-Sen. Confirm with Chikou Span: If Chikou Span supports the buy/sell signal, it's more reliable. Use Cloud Breakouts for Trend Reversals: If price moves from below to above the cloud = strong buy. If price moves from above to below the cloud = strong sell.
Chỉ báo Pine Script®
của BKU_DenP