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Directional Deviation Index (DDI)Directional Deviation Index (DDI) is a streamlined, adaptive indicator for analyzing market cycles, detecting trend direction, and gauging momentum. By measuring how far price deviates from a smoothed average, the DDI adapts dynamically to both bullish and bearish conditions. Key Features: Unified Smoothing: Choose SMA or EMA for consistent, predictable signals. Log Scale: Focus on percentage-based moves—ideal for volatile or higher-priced assets. Adaptive Trend Levels: Auto-adjust uptrend/downtrend thresholds based on market volatility. Momentum Visualization: Transparent color fills (green for uptrends, red for downtrends) that intensify with stronger deviations. Customizable Sensitivity: Fine-tune uptrend and downtrend settings to suit any trading style. Simple Alerts & Status Line: Get notified on key crossovers and track real-time price without chart clutter. Comparison to Similar Indicators: Bollinger Bands: Both use deviations from a moving average, but the DDI emphasizes directional momentum and adaptive threshold levels rather than fixed bands. RSI/Stochastics: While these oscillators focus on overbought or oversold conditions, the DDI tracks how far price strays from its average, giving a clearer picture of trend strength. MACD: MACD is built on EMA crossovers, whereas the DDI highlights deviations from a mean and adapts more directly to volatility changes. Use the DDI to identify trend strength, spot potential reversals, and monitor evolving market conditions across stocks, crypto, forex, and beyond. It’s a versatile yet concise tool for traders seeking faster, more confident decisions.
Pine Script® indicator
by Xezxex
Altcoin Reversal or Correction DetectionINDICATOR OVERVIEW: Altcoin Reversal or Correction Detection Altcoin Reversal or Correction Detection is a powerful crypto-specific indicator designed exclusively for altcoins by analyzing their RSI values across multiple timeframes alongside Bitcoin’s RSI. Since BTC's price movements have a strong influence on altcoins, this tool helps traders better understand whether a reversal or correction signal is truly reliable or just noise. Even if an altcoin appears oversold or overbought, it may continue trending with BTC—so this indicator gives you the full picture. The indicator is optimized for CRYPTO MARKETS only. Not suitable for BTC itself—this is a precision tool built only for ALTCOINS only. This indicator is not only for signals but also serves as a tool for observing all the information from different timeframes of BTC and altcoins collectively. How the Calculation Works: Algorithm Overview The Altcoin Reversal or Correction Detection indicator relies on an algorithm that compares the RSI values of the altcoin across multiple timeframes with Bitcoin's RSI values. This allows the indicator to identify key market moments where a reversal or correction might occur. BTC-Altcoin RSI Correlation: The algorithm looks for the correlation between Bitcoin's price movements and the altcoin's price actions, as BTC often influences the direction of altcoins. When both Bitcoin and the altcoin show either overbought or oversold conditions in a significant number of timeframes, the indicator signals the potential for a reversal or correction. Multi-Timeframe Confirmation: Unlike traditional indicators that may focus on a single timeframe, this tool checks multiple timeframes for both BTC and the altcoin. When the same overbought/oversold conditions are met across multiple timeframes, it confirms the likelihood of a trend reversal or correction, providing a more reliable signal. The more timeframes that align with this pattern, the stronger the signal becomes. Overbought/Oversold Conditions & Extreme RSI Values: The algorithm also takes into account the size of the RSI values, especially focusing on extreme overbought and oversold levels. The greater the RSI values are in these extreme regions, the stronger the potential reversal or correction signal. This means that not only do multiple timeframes need to confirm the condition, but the magnitude of the overbought or oversold RSI level plays a crucial role in determining the strength of the signal. Signal Strength Levels: The signals are classified into three levels: Early Signal Strong Signal Very Strong Signal By taking into account the multi-timeframe analysis of both BTC and the altcoin RSI values, along with the magnitude of these RSI values, the indicator offers a highly reliable method for detecting potential reversals and corrections. Who Is This Indicator Suitable For? This indicator can also be used to detect reversal points, but it is especially effective for scalping. It highlights potential correction points, making it perfect for quick entries during smaller market pullbacks or short-term trend shifts, which is more suitable for scalpers looking to capitalize on short-term movements Integration with other tools Use this tool alongside key Support and Resistance zones to further enhance your trade by filtering for even better quality entries and focusing only on high-quality reversal or correction setups. It can be also used with other indicators and suitable with other personalised strategies.
Pine Script® indicator
by ebecihalil
Parabolic RSI [ChartPrime]The Parabolic RSI indicator applies the Parabolic SAR directly to the Relative Strength Index (RSI) . This combination helps traders identify trend shifts and potential reversal points within the RSI framework. The indicator provides both regular and strong signals based on whether the Parabolic SAR crosses above or below key RSI thresholds. ⯁ KEY FEATURES Parabolic SAR Applied to RSI – Tracks momentum shifts within the RSI indicator. Dynamic SAR Dots – Plots SAR levels directly on the RSI for visual clarity. Threshold-Based Signal Filtering – Uses upper (70) and lower (30) RSI levels to determine strong signals. Simple and Strong Signal System : Big Diamonds (Strong Signals) – Appear when Parabolic SAR crosses above 70 or below 30 RSI, indicating potential reversals. Small Diamonds (Regular Signals) – Appear when Parabolic SAR flips inside the RSI range, signaling weaker trend shifts. Chart Overlay Signals – Highlights strong RSI-based trend shifts directly on the price chart. Fully Customizable – Modify RSI length, SAR parameters, colors, and signal displays. ⯁ HOW TO USE Look for strong signals (big diamonds) when SAR flips above 70 RSI (overbought) or below 30 RSI (oversold) for potential reversals. Use regular signals (small diamonds) for minor trend shifts within the RSI range. Combine with price action and other indicators to confirm entry and exit points. Adjust the SAR acceleration factors to fine-tune sensitivity based on market conditions. ⯁ CONCLUSION The Parabolic RSI indicator merges trend-following and momentum-based analysis by applying the Parabolic SAR to RSI. This allows traders to detect trend shifts inside the RSI space with an intuitive diamond-based signal system . Whether used alone or as part of a broader trading strategy, this indicator provides a clear and structured approach to identifying momentum reversals and potential trading opportunities.
Pine Script® indicator
by ChartPrime
25
Moving Average Shift WaveTrend StrategyMoving Average Shift WaveTrend Strategy 🧭 Overview The Moving Average Shift WaveTrend Strategy is a trend-following and momentum-based trading system designed to be overlayed on TradingView charts. It executes trades based on the confluence of multiple technical conditions—volatility, session timing, trend direction, and oscillator momentum—to deliver logical and systematic trade entries and exits. 🎯 Strategy Objectives Enter trades aligned with the prevailing long-term trend Exit trades on confirmed momentum reversals Avoid false signals using session timing and volatility filters Apply structured risk management with automatic TP, SL, and trailing stops ⚙️ Key Features Selectable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA Dual-filter logic using a custom oscillator and moving averages Session and volatility filters to eliminate low-quality setups Trailing stop, configurable Take Profit / Stop Loss logic “In-wave flag” prevents overtrading within the same trend wave Visual clarity with color-shifting candles and entry/exit markers 📈 Trading Rules ✅ Long Entry Conditions: Price is above the selected MA Oscillator is positive and rising 200-period EMA indicates an uptrend ATR exceeds its median value (sufficient volatility) Entry occurs between 09:00–17:00 (exchange time) Not currently in an active wave 🔻 Short Entry Conditions: Price is below the selected MA Oscillator is negative and falling 200-period EMA indicates a downtrend All other long-entry conditions are inverted ❌ Exit Conditions: Take Profit or Stop Loss is hit Opposing signals from oscillator and MA Trailing stop is triggered 🛡️ Risk Management Parameters Pair: ETH/USD Timeframe: 4H Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pips Risk per Trade: 2% of account equity (adjustable) Total Trades: 224 Backtest Period: May 24, 2016 — April 7, 2025 Note: Risk parameters are fully customizable to suit your trading style and broker conditions. 🔧 Trading Parameters & Filters Time Filter: Trades allowed only between 09:00–17:00 (exchange time) Volatility Filter: ATR must be above its median value Trend Filter: Long-term 200-period EMA 📊 Technical Settings Moving Average Type: SMA Length: 40 Source: hl2 Oscillator Length: 15 Threshold: 0.5 Risk Management Take Profit: 1.5% Stop Loss: 1.0% Trailing Stop: 1.0% 👁️ Visual Support MA and oscillator color changes indicate directional bias Clear chart markers show entry and exit points Trailing stops and risk controls are transparently managed 🚀 Strategy Improvements & Uniqueness In-wave flag avoids repeated entries within the same trend phase Filtering based on time, volatility, and trend ensures higher-quality trades Dynamic high/low tracking allows precise trailing stop placement Fully rule-based execution reduces emotional decision-making 💡 Inspirations & Attribution This strategy is inspired by the excellent concept from: ChartPrime – “Moving Average Shift” It expands on the original idea with advanced trade filters and trailing logic. Source reference: 📌 Summary The Moving Average Shift WaveTrend Strategy offers a rule-based, reliable approach to trend trading. By combining trend and momentum filters with robust risk controls, it provides a consistent framework suitable for various market conditions and trading styles. ⚠️ Disclaimer This script is for educational purposes only. Trading involves risk. Always use proper backtesting and risk evaluation before applying in live markets.
Pine Script® strategy
by PakunFX
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay. Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action. ⚪ In simple terms: ▸ The Bands = The Stochastic Oscillator — but on price. ▸ The Midline = Stochastic 50 level ▸ Upper Band = Stochastic Overbought Threshold ▸ Lower Band = Stochastic Oversold Threshold When the price moves above the midline → it’s the same as the oscillator moving above 50 When the price breaks above the upper band → it’s the same as Stochastic entering overbought. When the price reaches the lower band →, think of it like Stochastic being oversold. This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart. █ How It Works The indicator layers 3 distinct technical elements into one clean view: ⚪ Stochastic Momentum Engine Tracks overbought/oversold conditions and directional strength using: %K Line → Momentum of price %D Line → Smoothing filter of %K Overbought/Oversold Bands → Highlight potential reversal zones ⚪ Volatility Adaptive Bands Dynamic bands plotted above and below price using: ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable) This means: → In strong trends: Bands expand → In consolidations: Bands contract ⚪ Regression Channel Projects trend direction with different models: Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks) Linear → Classic regression fit Adaptive → Dynamically adjusts sensitivity Leading → Projects trend further ahead (aggressive mode) Channels include: Midline → Fair value trend Upper/Lower Bounds → Deviation-based support/resistance ⚪ Heatmap - Bull & Bear Power Strength Visual heatmeter showing: % dominance of bulls vs bears (based on close > or < Band Basis) Automatic normalization regardless of timeframe Table display on-chart for quick visual insight Dynamic highlighting when extreme levels are reached ⚪ Trend Candlestick Coloring Bars auto-color based on trend filter: Above Basis → Bullish Color Below Basis → Bearish Color █ How to Use ⚪ Trend Trading → Use Band direction + Regression Channel to identify trend alignment → Longs favored when price holds above the Basis → Shorts favored when price stays below the Basis → Use the Bull & Bear heatmap to asses if the bulls or the bears are in control. ⚪ Mean Reversion → Look for price to interact with Upper or Lower Band extremes → Stochastic reaching OB/OS zones further supports reversals ⚪ Momentum Confirmation → Crossovers between %K and %D can confirm continuation or divergence signals → Especially powerful when happening at band boundaries ⚪ Strength Heatmap → Quickly visualize current buyer vs seller control → Sharp spikes in Bull Power = Aggressive buying → Sharp spikes in Bear Power = Heavy selling pressure █ Why It Useful This is not a typical Stochastic or regression tool. The tool is designed for traders who want to: React dynamically to price volatility Map momentum into volatility context Use adaptive regression channels across trend styles Visualize bull vs bear power in real-time Follow trends with built-in reversal logic █ Settings Stochastic Settings Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals. %K Smoothing → Smooths the Stochastic line itself. %D Smoothing → Smooths the moving average of %K for slower signals. Stochastic Band Band Length → Length of the Moving Average Basis. Volatility Multiplier → Controls band width via ATR scaling. Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA). Regression Channel Regression Type → Logarithmic / Linear / Adaptive / Leading. Regression Length → Number of bars for regression calculation. Heatmap Settings Heatmap Length → Number of bars to calculate bull/bear dominance. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® indicator
by Zeiierman
27
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
Pine Script® indicator
by 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.
Pine Script® indicator
by 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.
Pine Script® indicator
by 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.
Pine Script® indicator
by 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.
Pine Script® indicator
by 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.
Pine Script® indicator
by ChartPrime
21
Adaptive Fibonacci Pullback System -FibonacciFluxAdaptive Fibonacci Pullback System (AFPS) - FibonacciFlux This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Original concepts by FibonacciFlux. Abstract The Adaptive Fibonacci Pullback System (AFPS) presents a sophisticated, institutional-grade algorithmic strategy engineered for high-probability trend pullback entries. Developed by FibonacciFlux, AFPS uniquely integrates a proprietary Multi-Fibonacci Supertrend engine (0.618, 1.618, 2.618 ratios) for harmonic volatility assessment, an Adaptive Moving Average (AMA) Channel providing dynamic market context, and a synergistic Multi-Timeframe (MTF) filter suite (RSI, MACD, Volume). This strategy transcends simple indicator combinations through its strict, multi-stage confluence validation logic. Historical simulations suggest that specific MTF filter configurations can yield exceptional performance metrics, potentially achieving Profit Factors exceeding 2.6 , indicative of institutional-level potential, while maintaining controlled risk under realistic trading parameters (managed equity risk, commission, slippage). 4 hourly MTF filtering 1. Introduction: Elevating Pullback Trading with Adaptive Confluence Traditional pullback strategies often struggle with noise, false signals, and adapting to changing market dynamics. AFPS addresses these challenges by introducing a novel framework grounded in Fibonacci principles and adaptive logic. Instead of relying on static levels or single confirmations, AFPS seeks high-probability pullback entries within established trends by validating signals through a rigorous confluence of: Harmonic Volatility Context: Understanding the trend's stability and potential turning points using the unique Multi-Fibonacci Supertrend. Adaptive Market Structure: Assessing the prevailing trend regime via the AMA Channel. Multi-Dimensional Confirmation: Filtering signals with lower-timeframe Momentum (RSI), Trend Alignment (MACD), and Market Conviction (Volume) using the MTF suite. The objective is to achieve superior signal quality and adaptability, moving beyond conventional pullback methodologies. 2. Core Methodology: Synergistic Integration AFPS's effectiveness stems from the engineered synergy between its core components: 2.1. Multi-Fibonacci Supertrend Engine: Utilizes specific Fibonacci ratios (0.618, 1.618, 2.618) applied to ATR, creating a multi-layered volatility envelope potentially resonant with market harmonics. The averaged and EMA-smoothed result (`smoothed_supertrend`) provides a robust, dynamic trend baseline and context filter. // Key Components: Multi-Fibonacci Supertrend & Smoothing average_supertrend = (supertrend1 + supertrend2 + supertrend3) / 3 smoothed_supertrend = ta.ema(average_supertrend, st_smooth_length) 2.2. Adaptive Moving Average (AMA) Channel: Provides dynamic market context. The `ama_midline` serves as a key filter in the entry logic, confirming the broader trend bias relative to adaptive price action. Extended Fibonacci levels derived from the channel width offer potential dynamic S/R zones. // Key Component: AMA Midline ama_midline = (ama_high_band + ama_low_band) / 2 2.3. Multi-Timeframe (MTF) Filter Suite: An optional but powerful validation layer (RSI, MACD, Volume) assessed on a lower timeframe. Acts as a **validation cascade** – signals must pass all enabled filters simultaneously. 2.4. High-Confluence Entry Logic: The core innovation. A pullback entry requires a specific sequence and validation: Price interaction with `average_supertrend` and recovery above/below `smoothed_supertrend`. Price confirmation relative to the `ama_midline`. Simultaneous validation by all enabled MTF filters. // Simplified Long Entry Logic Example (incorporates key elements) long_entry_condition = enable_long_positions and (low < average_supertrend and close > smoothed_supertrend) and // Pullback & Recovery (close > ama_midline and close > ama_midline) and // AMA Confirmation (rsi_filter_long_ok and macd_filter_long_ok and volume_filter_ok) // MTF Validation This strict, multi-stage confluence significantly elevates signal quality compared to simpler pullback approaches. 1hourly filtering 3. Realistic Implementation and Performance Potential AFPS is designed for practical application, incorporating realistic defaults and highlighting performance potential with crucial context: 3.1. Realistic Default Strategy Settings: The script includes responsible default parameters: strategy('Adaptive Fibonacci Pullback System - FibonacciFlux', shorttitle = "AFPS", ..., initial_capital = 10000, // Accessible capital default_qty_type = strategy.percent_of_equity, // Equity-based risk default_qty_value = 4, // Default 4% equity risk per initial trade commission_type = strategy.commission.percent, commission_value = 0.03, // Realistic commission slippage = 2, // Realistic slippage pyramiding = 2 // Limited pyramiding allowed ) Note: The default 4% risk (`default_qty_value = 4`) requires careful user assessment and adjustment based on individual risk tolerance. 3.2. Historical Performance Insights & Institutional Potential: Backtesting provides insights into historical behavior under specific conditions (always specify Asset/Timeframe/Dates when sharing results): Default Performance Example: With defaults, historical tests might show characteristics like Overall PF ~1.38, Max DD ~1.16%, with potential Long/Short performance variance (e.g., Long PF 1.6+, Short PF < 1). Optimized MTF Filter Performance: Crucially, historical simulations demonstrate that meticulous configuration of the MTF filters (particularly RSI and potentially others depending on market) can significantly enhance performance. Under specific, optimized MTF filter settings combined with appropriate risk management (e.g., 7.5% risk), historical tests have indicated the potential to achieve **Profit Factors exceeding 2.6**, alongside controlled drawdowns (e.g., ~1.32%). This level of performance, if consistently achievable (which requires ongoing adaptation), aligns with metrics often sought in institutional trading environments. Disclaimer Reminder: These results are strictly historical simulations. Past performance does not guarantee future results. Achieving high performance requires careful parameter tuning, adaptation to changing markets, and robust risk management. 3.3. Emphasizing Risk Management: Effective use of AFPS mandates active risk management. Utilize the built-in Stop Loss, Take Profit, and Trailing Stop features. The `pyramiding = 2` setting requires particularly diligent oversight. Do not rely solely on default settings. 4. Conclusion: Advancing Trend Pullback Strategies The Adaptive Fibonacci Pullback System (AFPS) offers a sophisticated, theoretically grounded, and highly adaptable framework for identifying and executing high-probability trend pullback trades. Its unique blend of Fibonacci resonance, adaptive context, and multi-dimensional MTF filtering represents a significant advancement over conventional methods. While requiring thoughtful implementation and risk management, AFPS provides discerning traders with a powerful tool potentially capable of achieving institutional-level performance characteristics under optimized conditions. Acknowledgments Developed by FibonacciFlux. Inspired by principles of Fibonacci analysis, adaptive averaging, and multi-timeframe confirmation techniques explored within the trading community. Disclaimer Trading involves substantial risk. AFPS is an analytical tool, not a guarantee of profit. Past performance is not indicative of future results. Market conditions change. Users are solely responsible for their decisions and risk management. Thorough testing is essential. Deploy at your own considered risk.
Pine Script® strategy
by FibonacciFlux
TrendSync Pro (SMC)📊 TrendSync Pro (SMC) – Advanced Trend-Following Strategy with HTF Alignment Created by Shubham Singh 🔍 Strategy Overview TrendSync Pro (SMC) is a precision-based smart trend-following strategy inspired by Smart Money Concepts (SMC). It combines: Real-time pivot-based trendline detection Higher Time Frame (HTF) filtering to align trades with dominant trend Risk management via adjustable Stop Loss (SL) and Take Profit (TP) Directional control — trade only bullish, bearish, or both setups Realistic backtesting using commissions and slippage Pre-optimized profiles for scalpers, intraday, swing, and long-term traders 🧠 How It Works: 🔧 Strategy Settings Image: beeimg.com The strategy dynamically identifies trend direction by using swing high/low pivots. When a new pivot forms: It draws a trendline from the last significant pivot Detects whether the trend is up (based on pivot lows) or down (based on pivot highs) Waits for price to break above/below the trendline Confirms with HTF price direction (HTF close > previous HTF close = bullish) Only then it triggers a long or short trade It exits either at TP, SL, or a manual trendline break 🛠️ Adjustable Parameters: Trend Period: Length for pivot detection (affects sensitivity of trendlines) HTF Timeframe: Aligns lower timeframe entries with higher timeframe direction SL% and TP%: Customize your risk-reward profile Commission & Slippage: Make backtests more realistic Trade Direction: Choose to trade: Long only, Short only, or Both 🎛️ Trade Direction Control: In settings, you can choose: Bullish Only: Executes only long entries Bearish Only: Executes only short entries Both: Executes both long and short entries when conditions are met This allows you to align trades with your own market bias or external analysis. 📈 Entry Logic: Long Entry:  • Price crosses above trendline  • HTF is bullish (HTF close > previous close)  • Latest pivot is a low (trend is considered up) Short Entry:  • Price crosses below trendline  • HTF is bearish (HTF close < previous close)  • Latest pivot is a high (trend is considered down) 📉 Exit Logic: Hit Take Profit or Stop Loss Manual trendline invalidation: If price crosses opposite of the trend direction ⏰ Best Timeframes & Recommended Settings: Scalping (1m to 5m):  HTF = 15m | Trend Period = 7  SL = 0.5% | TP = 1% to 2% Intraday (15m to 30m):  HTF = 1H | Trend Period = 10–14  SL = 0.75% | TP = 2% to 3% 6 Hour Trading (30m to 1H):  HTF = 4H | Trend Period = 20  SL = 1% | TP = 4% to 6% Swing Trading (4H to 1D):  HTF = 1D | Trend Period = 35  SL = 2% | TP = 8% to 12% Long-Term Investing (1D+):  HTF = 1W | Trend Period = 50  SL = 3% | TP = 15%+ Note: These are recommended base settings. Adjust based on volatility, asset class, or personal trading style. 📸 Testing Note: beeimg.com TradingView limits test length to 20k bars (~40 trades on smaller timeframes). To show long-term results: Test on higher timeframes (e.g., 1H, 4H, 1D) Share images of backtest result in description Host longer test result screenshots on Imgur or any public drive 📍 Asset Behavior Insight: This strategy works on multiple assets, including BTC, ETH, etc. Performance varies by trend strength: Sometimes BTC performs better than ETH Other times ETH gives better results That’s normal as both assets follow different volatility and trend behavior It’s a trend-following setup. Longer and clearer the trend → better the results. ✅ Best Practices: Avoid ranging markets Use proper SL/TP for each timeframe Use directional filter if you already have a directional bias Always forward test before going live ⚠️ Trading Disclaimer: This script is for educational and backtesting purposes only. Trading involves risk. Always use risk management and never invest more than you can afford to lose.
Pine Script® strategy
by shubham_singh_1927
Uptrick X PineIndicators: Z-Score Flow StrategyThis strategy is based on the Z-Score Flow Indicator developed by Uptrick. Full credit for the original concept and logic goes to Uptrick. The Z-Score Flow Strategy combines statistical mean-reversion logic with trend filtering, RSI confirmation, and multi-mode trade execution, offering a flexible and structured approach to trading both reversals and trend continuations. Core Concepts Behind Z-Score Flow 1. Z-Score Mean Reversion Logic The Z-score measures how far current price deviates from its statistical mean, in standard deviations. A high positive Z-score (e.g. > 2) suggests price is overbought and may revert downward. A low negative Z-score (e.g. < -2) suggests price is oversold and may revert upward. The strategy uses Z-score thresholds to trigger signals when price deviates far enough from its mean. 2. Trend Filtering with EMA To prevent counter-trend entries, the strategy includes a trend filter based on a 50-period EMA: Only allows long entries if price is below EMA (mean-reversion in downtrends). Only allows short entries if price is above EMA (mean-reversion in uptrends). 3. RSI Confirmation and Lockout System An RSI smoothing mechanism helps confirm signals and avoid whipsaws: RSI must be below 30 and rising to allow buys. RSI must be above 70 and falling to allow sells. Once a signal occurs, it is "locked out" until RSI re-enters the neutral zone (30–70). This avoids multiple signals in overextended zones and reduces overtrading. Entry Signal Logic A buy or sell is triggered when: Z-score crosses below (buy) or above (sell) the threshold. RSI smoothed condition is met (oversold and rising / overbought and falling). The trend condition (EMA filter) aligns. A cooldown period has passed since the last opposite trade. This layered approach helps ensure signal quality and timing precision. Trade Modes The strategy includes three distinct trade modes to adapt to various market behaviors: 1. Standard Mode Trades are opened using the Z-score + RSI + trend filter logic. Each signal must pass all layered conditions. 2. Zero Cross Mode Trades are based on the Z-score crossing zero. This mode is useful in trend continuation setups, rather than mean reversion. 3. Trend Reversal Mode Trades occur when the mean slope direction changes, i.e., basis line changes color. Helps capture early trend shifts with less lag. Each mode can be customized for long-only, short-only, or long & short execution. Visual Components 1. Z-Score Mean Line The basis (mean) line is colored based on slope direction. Green = bullish slope, Purple = bearish slope, Gray = flat. A wide shadow band underneath reflects current trend momentum. 2. Gradient Fill to Price A gradient zone between price and the mean reflects: Price above mean = bearish zone with purple overlay. Price below mean = bullish zone with teal overlay. This visual aid quickly reveals market positioning relative to equilibrium. 3. Signal Markers "𝓤𝓹" labels appear for buy signals. "𝓓𝓸𝔀𝓷" labels appear for sell signals. These are colored and positioned according to trend context. Customization Options Z-Score Period & Thresholds: Define sensitivity to price deviations. EMA Trend Filter Length: Filter entries with long-term bias. RSI & Smoothing Periods: Fine-tune RSI confirmation conditions. Cooldown Period: Prevent signal spam and enforce timing gaps. Slope Index: Adjust how far back to compare mean slope. Visual Settings: Toggle mean lines, gradients, and more. Use Cases & Strategy Strengths 1. Mean-Reversion Trading Ideal for catching pullbacks in trending markets or fading overextended price moves. 2. Trend Continuation or Reversal With multiple trade modes, traders can choose between fading price extremes or trading slope momentum. 3. Signal Clarity and Risk Control The combination of Z-score, RSI, EMA trend, and cooldown logic provides high-confidence signals with built-in filters. Conclusion The Z-Score Flow Strategy by Uptrick X PineIndicators is a versatile and structured trading system that: Fuses statistical deviation (Z-score) with technical filters. Provides both mean-reversion and trend-based entry logic. Uses visual overlays and signal labels for clarity. Prevents noise-driven trades via cooldown and lockout systems. This strategy is well-suited for traders seeking a data-driven, multi-condition entry framework that can adapt to various market types. Full credit for the original concept and indicator goes to Uptrick.
Pine Script® strategy
by PineIndicators
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.
Pine Script® indicator
by 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
Pine Script® indicator
by 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:
Pine Script® indicator
by 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.
Pine Script® indicator
by 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!
Pine Script® indicator
by 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!
Pine Script® indicator
by 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.
Pine Script® indicator
by 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.
Pine Script® indicator
by 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.
Pine Script® indicator
by Julien_Exe