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BB with Heikin Ashi + Reversal CheckThis indicator combines Bollinger Bands (BB) with Heikin Ashi candles to detect potential reversal points after price breaks the BB boundaries. It works on any symbol and timeframe, retrieving Heikin Ashi data via request.security(). Core Features Heikin Ashi Candle Plot Smooths price action by using Heikin Ashi candles instead of regular candles. Candles are plotted directly on the chart with green (bullish) and red (bearish) colors. Bollinger Bands (BB) Calculated from Heikin Ashi close price. Includes Basis (MA), Upper Band, and Lower Band, with customizable MA type, length, and standard deviation multiplier. Break & Reversal Detection The indicator tracks whether the price has broken above the Upper Band (p1) or below the Lower Band (p2). It remembers the last breakout direction until the opposite breakout occurs (mutually exclusive logic). Signal Logic Long Signal (▲): Price was previously below the Lower Band and then reversed upward (BB Lower rising + Heikin Ashi candle rising). Short Signal (▼): Price was previously above the Upper Band and then reversed downward (BB Upper falling + Heikin Ashi candle falling). Alerts Custom alert conditions trigger when Long or Short signals occur, allowing automated notifications or bot integration. Use Cases ✅ Swing Trading / Trend Reversal – Identify potential bottom/top reversals after BB breakouts. ✅ Mean Reversion Strategies – Enter trades when the price reverts to the BB mean after an extreme breakout. ✅ Multi-Timeframe Analysis – Works with any timeframe and symbol via request.security(). Customization MA Type: SMA, EMA, RMA, WMA, VWMA BB Length & StdDev Multiplier Timeframe & Symbol Selection
Pine Script® indicator
by AliceTears
Common DMAs with LabelsHere's a short description for publishing: Common Daily Moving Averages (DMA) Indicator with Smart Labels Displays the most widely-used moving averages that professional traders watch: 5, 10, 20, 50, 100, and 200 DMAs with clear color-coding and descriptive labels. Key Features: Smart Labels - Each DMA shows its trading purpose (Day Trading, Swing Trading, Bull/Bear Line, etc.) Customizable Display - Toggle any DMA on/off individually Golden/Death Cross Alerts - Optional 50/200 crossover signals Live Status Table - Shows current DMA values vs price with up/down arrows Professional Styling - Color-coded lines with appropriate thickness (200 DMA emphasized) Perfect for: Multi-timeframe trend analysis Support/resistance identification Bull/bear market confirmation Entry/exit timing Usage: Add to chart, customize which DMAs to display in settings. Labels appear on the right showing each average's trading significance. Enable the status table for quick price-vs-DMA reference. Ideal for both beginners learning key moving averages and experienced traders wanting a clean, informative DMA setup.
Pine Script® indicator
by Sakett_Guptaa
Elliott Wave Probability SystemAdvanced Elliott Wave analysis system with AI-powered probability calculations for price targets. Combines multiple technical indicators to generate high-probability trading signals with specific price objectives. 🎯 KEY FEATURES: - Automatic Elliott Wave pattern detection - Dynamic Fibonacci retracement & extension levels - Probability-weighted price targets (up to 10 levels) - Multi-indicator confluence scoring system - Real-time probability calculations - Visual wave projections with success rates - Comprehensive status dashboard 📊 TECHNICAL INDICATORS INTEGRATED: - Elliott Wave pattern recognition - Fibonacci levels (0-261.8%) - RSI momentum analysis - MACD trend confirmation - Stochastic oscillator - Volume spike detection - Weighted scoring algorithm 💡 PROBABILITY ENGINE: - Calculates target probabilities based on: - Current wave position - Technical indicator alignment - Volume confirmation - Market structure - Updates in real-time - Adjusts for market conditions 🎨 VISUAL ELEMENTS: - Wave connection lines - Fibonacci grid with prices - Probability table with 5-10 targets - Color-coded signal strength - Status dashboard - Target projection lines 🔧 CUSTOMIZATION: - Adjustable wave detection period - Number of price targets (3-10) - Toggle visual elements - Custom color schemes - Flexible indicator parameters 📈 TRADING METHODOLOGY: - Entry: High probability targets + confluence - Exit: Target completion or signal reversal - Risk: Use Fibonacci levels for stops - Position sizing: Based on probability % Perfect for traders seeking objective, probability-based price targets using Elliott Wave theory combined with technical confirmation. ⚡ ALERTS INCLUDED: - Strong buy/sell signals - Target approach notifications - Wave completion alerts Correlating AI Agent coded by ITECS .
Pine Script® indicator
by WhiteHuracan
2
DTA Seven-Candle Trend IndicatorSeven candles Trend Identifier 📊 Output: * Trend shown in table: "Uptrend", "Downtrend", or "Sideways" * Strength level: * "Strong" = 10+ confirmations (HH/HL or LL/LH) * "Moderate" = 6–9 confirmations * "Weak" = anything else (Sideways) * All colors sync with background and label styles The yellow background color in the script indicates a sideways trend — meaning: 🟨 Yellow Background = Sideways Market This occurs when: * The last 7 candles do not form a clear uptrend (higher highs & higher lows) * And also do not form a clear downtrend (lower highs & lower lows) 🔍 Why It Happens: * Mixed candle structure * Price is oscillating in a range * No dominant directional momentum * Often seen before breakouts or during consolidation ✅ Example: Imagine the last 7 candles had highs and lows like this: Bar High Low 1 100 95 2 98 94 3 101 96 4 100 95 5 99 93 6 102 97 7 100 95 In this case: * Not consistently making higher highs/lows (so not uptrend) * Not consistently making lower highs/lows (so not downtrend) ➡️ Therefore, the script marks it as sideways, and the background turns yellow.
Pine Script® indicator
by joyfulChilli
[Pandora] Laguerre Ultimate Explorations MulticatorIt's time to begin demonstrations differentiating the difference between known and actual feasibility beyond imagination... Welcome to my algorithmic twilight zone . INTRODUCTION: Hot off my press, I present this Laguerre multicator employing PSv6.0, originally formulated by John Ehlers for TASC - July 2025 Traders Tips. Basically I transcended Ehlers' notions of transversal filtration with an overhaul of his Laguerre design with my "what if" Pandora notions included. Striving beyond John Ehlers' original intended design. This action packed indicator is a radically revamped version of his original filter using novel techniques. My aim was to explore whether providing even more enhanced responsiveness and lesser lag is possible and how. Presented here is my mind warping results to witness. EHLERS' LAGUERRE EXPLAINED: First and foremost, the concept of Ehlers' Laguerre-izing method deserves a comprehensive deep dive. Ehlers' Laguerre filter design, as it functions originally, begins with his Ultimate Smoother (US) followed by a gang of four LERP (jargon for Linear intERPolation) filters. Following a myriad of cascading LERPs is a window-like FIR filter tapped into the LERP delay values to provide extra smoothness via the output. On a side note, damping factor controlled LERP filters resemble EMAs indeed, but aren't exactly "periodic" filters that would have a period/length parameter and their subsequent calculations. I won't go into fine-grained relationship details, but EMA and LERP are indeed related in approach, being cousins of similar pedigree. EXAMINING LAGUERRE: I focused firstly on US initialization obstacles at Pine's bar_index==0 with nz() in abundance. The next primary notion of intrigue I mostly wondered about was, why are there four LERP elements instead of fewer or more. Why not three or why not two LERPs, etc... 1-4-6-4-1, I remember seeing those coefficients before in high pass filters. Gathering my thoughts from that highpass knowledge base, I devised other tapped configuration modes to inspect their behavior out of curiosity. Eureka! There is actually more to Laguerre than Ehlers' mind provided, now that I had formulated additional modes. Each mode exhibits it's own lag/smoothness characteristics better than the quad LERPed version. I narrowed it down to a total of 5 modes for exploration. Mode 0 is just the raw US by itself. ANALYZING FILTER BEHAVIORS: Which option might be possibly superior, and how may I determine that? Fortunately, I have a custom-built analyzer allowing me to thoroughly examine transient responses across multiple periodicities simultaneously, providing remarkable visual insights. While Ehlers has meagerly touched upon presenting general frequency responses in his books, I have excelled far beyond that. This robust filter analysis capability enables me to observe finer aspects hidden to others, ultimately leading to the deprecation of numerous existing filters. Not only this, but inventing entirely new species of filtration whether lowpass, highpass, or bandpass is already possible with a thorough comprehensive evaluation. Revealing what's quirky with each filter and having the ability to discover what filters may be lacking in performance, is one of it's implications. I'm just going to explain this: For example US has a little too much overshoot to my liking, along with nonconformant cutoff frequency compliance with the period parameter. Perhaps Ehlers should inspect US coefficients a bit closer... I hope stating this is not received in an ill manner, as it's not my intention here. What this technically eludes to is that UltimateSmoother can be further improved, analogous to my Laguerre alterations described above. I will also state Laguerre can indeed be reformulated to an even greater extent concerning group delay, from what I have already discussed. Another exciting time though... More investigative research is warranted. LAGUERRE CONCLUSIONS: After analyzing Laguerre's frequency compliance, transient responses, amplitudes, lag, symmetry across periodicities, noise rejection, and smoothness... I favor mode 3 for a multitude of reasons over the mode 4 configuration, but mostly superb smoothing with less lag, AND I also appreciated mode 1 & 2 for it's lower lag performance options. Each mode and lag (phase shift) damping value has it's own unique characteristics at extremes, yet they demonstrate additional finesse in it's new hybrid form without adding too much more complexity. This multicator has a bunch of Laguerre filters in the overlay chart over many periodicities so you can easily witness it's differing periodic symmetries on an input signal while adjusting lag and mode. LAGUERRE OSCILLATOR: The oscillator is integrated into the laguerreMulti() function for the intention of posterity only. I performed no evaluation on it, only providing the code in Pine. That wasn't part of my intended exploration adventure, as I'm more TREND oriented for the time being, focusing my efforts there. Market analysis has two primary aspects in my observations, one cyclic while the other is trending dynamics... There's endless oscillators, but my expectations for trend analysis seems a little lesser explored in my opinion, hence my laborious trend endeavors. Ehlers provided both indicator facets this time around, and I hope you find the filtration aspect more intriguing after absorption of this reading. FUNCTION MODULES EXPLAINED: The Ultimate Smoother is an advanced IIR lowpass smoothing filter intended to minimize noise in time series data with minimal group delay, similar to a traditional biquad filter. This calculation helps to create a smoother version of the original signal without the distortions of short-term fluctuations and with minimal lag, adjustable by period. The Modified Laguerre Lowpass Filter (MLLF) enhances the functionality of US by introducing a Laguerre mode parameter along side the lag parameter to refine control over the amount of additional smoothing/lag applied to the signal. By tethering US with this LERPed lag mechanism, MLLF achieves an effective balance between responsiveness and smoothness, allowing for customizable lag adjustments via multiple inputs. This filter ends with selecting from a choice of weighted averages derived from a gang of up to four cascading LERP calculations, resulting with smoother representations of the data. The Laguerre Oscillator is a momentum-like indicator derived from the output of US and a singular LERPed lowpass filter. It calculates the difference between the US data and Laguerre filter data, normalizing it by the root mean square (RMS). This quasi-normalization technique helps to assess the intensity of the momentum on any timeframe within an expected bound range centered around 0.0. When the Laguerre Oscillator is positive, it suggests that the smoothed data is trending upward, while a negative value indicates a downward trend. Adjustability is controlled with period, lag, Laguerre mode, and RMS period.
Pine Script® indicator
by ImmortalFreedom
5
Pre-Market High and LowThis indicator automatically tracks and plots the daily pre-market high and low levels on your chart for U.S. stocks. It monitors the pre-market session from 4:30 AM to 9:30 AM Eastern Time (New York) and captures the highest and lowest prices during this period. At exactly 9:30 AM ET, when the regular market opens, the indicator draws dashed horizontal lines representing the pre-market high and pre-market low, extending them forward for better visibility throughout the trading day.
Pine Script® indicator
by Shamsher52
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference. 🔍 What Is MVRV and Why Is It Important? MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization. - Market Cap: The total circulating supply multiplied by the current market price. - Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation. Normal Calculation: MVRV_Normal = Market Cap / Realized Cap This version reflects investor profitability and identifies potential accumulation or distribution zones. 📊 Z-Score Calculation: MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes. 🔎 How Market Cap Is Computed Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown: Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY Realized Capitalization = MARKETCAPREAL Component Definitions: - MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins. - MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins. - MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin. This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers. ⚙️ User-Configurable Parameters - MVRV Mode: Choose between Normal and Z-Score. - Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6). - Thresholds for Analysis: - Normal mode: Define overbought and oversold levels (default 1.0 and 3.5). - Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0). - Table Controls: - Adjustable position on screen (9 options). - Font size customization: tiny, small, normal, large. - Color scheme personalization: - Header: text and background - Body: text and background - Central column separator color 📊 Multicrypto Table Architecture The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value. - Assets are displayed in two blocks separated by a decorative column. - Each value is rounded to one decimal place for clarity. - Cells are styled dynamically based on user settings. 🎨 Decorative Column Separator Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic. 🔁 Default Behavior on Unsupported Assets If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group. 🎯 Color Interpretation by Condition The MVRV value for each asset is highlighted using a traffic light system: - Green: Undervalued (below oversold threshold) - Red: Overvalued (above overbought threshold) - Yellow: Neutral zone This coding simplifies decision-making and visual scanning across assets. Final Notes This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum. It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
Pine Script® indicator
by Trader_Algoritmico
MACD 衰减信号For Max's MACD Decay Signal A non-repainting signal based on MACD histogram momentum decay combined with price structure divergence. This script helps traders identify potential trend reversal points using multi-wave analysis. 📈 Bullish Signal Triggered when: MACD histogram prints three weakening red waves (histogram bars are rising toward zero) Price makes lower lows, while MACD histogram rises (bullish divergence) Histogram just turns green 🟢 Label: "MACD多头" appears below the candle 📢 Alert: "MACD 多头信号" 📉 Bearish Signal Triggered when: MACD histogram prints three weakening green waves (histogram bars falling toward zero) Price makes higher highs, while MACD histogram falls (bearish divergence) Histogram just turns red 🔴 Label: "MACD空头" appears above the candle 📢 Alert: "MACD 空头信号" ⚙️ Features Adjustable MACD parameters: Fast, Slow, Signal lengths Uses arrays to track momentum and price shift patterns Built to avoid repainting, works on all timeframes Comes with alert conditions for automation or manual notifications ✅ Best For Catching early trend reversal opportunities Combining with price action or support/resistance levels Traders who value momentum + structure-based signals
Pine Script® indicator
by FangElijah
Confirmed Entry Grid Pro//@version=5 indicator("Confirmed Entry Grid Pro", overlay=true, max_lines_count=500, max_labels_count=500, title="Confirmed Entry Grid Pro") // === إعدادات المستخدم === showImpulse = input.bool(true, "Show Impulse Wave") showShrinkWarning = input.bool(true, "Shrink Warning") minConfirmations = input.int(5, "Minimum Confirmations", minval=3, maxval=10) // === المتوسطات === ma9 = ta.sma(close, 9) ma21 = ta.sma(close, 21) ma200 = ta.sma(close, 200) // === الاتجاه === trendBull = close > ma200 trendBear = close < ma200 // === الزخم === rsi = ta.rsi(close, 14) rsiBull = rsi > 50 rsiBear = rsi < 50 // === الحجم === volMA = ta.sma(volume, 20) volHigh = volume > volMA // === شموع ابتلاعية === bullEngulf = close > open and open < close and close > open bearEngulf = close < open and open > close and close < open // === بولنجر باند === basis = ta.sma(close, 20) dev = ta.stdev(close, 20) upper = basis + 2 * dev lower = basis - 2 * dev bbBreakUp = close > upper bbBreakDown = close < lower // === دعم / مقاومة ديناميكية === support = ta.lowest(low, 20) resistance = ta.highest(high, 20) nearSupport = math.abs(close - support) / close < 0.015 nearResistance = math.abs(close - resistance) / close < 0.015 // === تقاطع المتوسطات === crossUp = ta.crossover(ma9, ma21) crossDown = ta.crossunder(ma9, ma21) // === ATR === atr = ta.atr(14) atrActive = atr > ta.sma(atr, 14) // === SMC: BOS + CHOCH + Impulsive Wave === bosUp = high > high and low > low bosDown = low < low and high < high chochUp = close > high and close < high chochDown = close < low and close > low smcBuy = bosUp and chochUp smcSell = bosDown and chochDown // === الموجة الدافعة (مؤشر اختياري لإشارة دخول قوية) impulseWaveSell = close <= close and close <= close and close <= close and close < open impulseWave = close >= close and close >= close and close >= close and close > open // === مناطق السيولة === liqHigh = ta.highest(high, 30) liqLow = ta.lowest(low, 30) liquidityBuyZone = close < liqLow liquiditySellZone = close > liqHigh // === حساب النقاط لكل صفقة === buyScore = (trendBull ? 1 : 0) + (rsiBull ? 1 : 0) + (volHigh ? 1 : 0) + (bullEngulf ? 1 : 0) + (smcBuy ? 1 : 0) + (bbBreakUp ? 1 : 0) + (nearSupport ? 1 : 0) + (crossUp ? 1 : 0) + (atrActive ? 1 : 0) + (liquidityBuyZone ? 1 : 0) sellScore = (trendBear ? 1 : 0) + (rsiBear ? 1 : 0) + (volHigh ? 1 : 0) + (bearEngulf ? 1 : 0) + (smcSell ? 1 : 0) + (bbBreakDown ? 1 : 0) + (nearResistance ? 1 : 0) + (crossDown ? 1 : 0) + (atrActive ? 1 : 0) + (liquiditySellZone ? 1 : 0) // === شروط الإشارات مع منع التكرار خلال آخر 5 شموع === var int lastBuyBar = na var int lastSellBar = na canBuy = buyScore >= 5 and impulseWave and (na(lastBuyBar) or bar_index - lastBuyBar > 3) canSell = sellScore >= 5 and impulseWaveSell and (na(lastSellBar) or bar_index - lastSellBar > 3) if canBuy lastBuyBar := bar_index if canSell lastSellBar := bar_index showBuy = canBuy and buyScore >= minConfirmations showSell = canSell and sellScore >= minConfirmations // === طول الخطوط === var int lineLen = 5 // === رسم الإشارات === plotshape(showBuy, title="BUY", location=location.belowbar, style=shape.triangleup, size=size.small, color=color.green) plotshape(showImpulse and impulseWave, title="Impulsive Buy", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.lime, text="IB") plotshape(showSell, title="SELL", location=location.abovebar, style=shape.triangledown, size=size.small, color=color.red) plotshape(showImpulse and impulseWaveSell, title="Impulsive Sell", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.maroon, text="IS") // === خطوط الصفقة === var line buyLines = array.new_line(0) var line sellLines = array.new_line(0) if (showBuy) entry = close label.new(bar_index, entry, "Entry " + str.tostring(entry, format.mintick), style=label.style_label_left, textcolor=color.white, size=size.normal) tpLevels = array.from(0.618, 1.0, 1.272, 1.618, 2.0) for i = 0 to array.size(tpLevels) - 1 fib = array.get(tpLevels, i) tp = entry + fib * atr fibLabel = "TP" + str.tostring(i + 1) + " - Fib " + str.tostring(fib) line = line.new(bar_index, tp, bar_index + lineLen, tp, color=color.green) label.new(bar_index + lineLen, tp, fibLabel + " " + str.tostring(tp, format.mintick), style=label.style_label_right, textcolor=color.lime, size=size.normal) array.push(buyLines, line) sl = entry - 0.618 * atr slLine = line.new(bar_index, sl, bar_index + lineLen, sl, color=color.red) label.new(bar_index + lineLen, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, textcolor=color.red, size=size.normal) array.push(buyLines, slLine) if (showSell) entry = close label.new(bar_index, entry, "Entry " + str.tostring(entry, format.mintick), style=label.style_label_left, textcolor=color.white, size=size.normal) tpLevels = array.from(-0.618, -1.0, -1.272, -1.618, -2.0) for i = 0 to array.size(tpLevels) - 1 fib = array.get(tpLevels, i) tp = entry + fib * atr fibLabel = "TP" + str.tostring(i + 1) + " - Fib " + str.tostring(math.abs(fib)) line = line.new(bar_index, tp, bar_index + lineLen, tp, color=color.green) label.new(bar_index + lineLen, tp, fibLabel + " " + str.tostring(tp, format.mintick), style=label.style_label_right, textcolor=color.green, size=size.normal) array.push(sellLines, line) sl = entry + 0.618 * atr slLine = line.new(bar_index, sl, bar_index + lineLen, sl, color=color.red) label.new(bar_index + lineLen, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, textcolor=color.red, size=size.normal) array.push(sellLines, slLine)
Pine Script® indicator
by taim1433
400 EMA 1min and 5min Collision Alert//@version=5 indicator("400 EMA 1min and 5min Collision Alert", overlay=true) // === Inputs === len = input.int(400, title="EMA Length") threshold = input.float(0.1, title="Collision Threshold", tooltip="Max difference between EMAs to trigger alert") // === EMAs === // 400 EMA on 1-minute timeframe ema_1min = request.security(syminfo.tickerid, "1", ta.ema(close, len)) // 400 EMA on 5-minute timeframe ema_5min = request.security(syminfo.tickerid, "5", ta.ema(close, len)) // === Plot EMAs === plot(ema_1min, title="400 EMA (1min)", color=color.orange, linewidth=2) plot(ema_5min, title="400 EMA (5min)", color=color.blue, linewidth=2) // === Collision Detection === collide = math.abs(ema_1min - ema_5min) <= threshold plotshape(collide, title="Collision!", location=location.abovebar, color=color.red, style=shape.triangleup, size=size.small) // === Alerts === alertcondition(collide, title="EMAs Collide", message="400 EMA (1min) and 400 EMA (5min) have collided.")
Pine Script® indicator
by jayveesenining
Days Since ±1% Move on CloseInterpretation & Use‑Case The “Days Since ±1% Move” indicator simply tells you how many trading days have passed since the last daily close that moved at least 1% in either direction. Here’s how to put it to work: Complacency Gauge A long stretch without a ≥1% move often signals that realized volatility has collapsed and market participants may be under‑positioned for a sudden swing. Positioning Insight When institutional hedges and systematic strategies see low recent volatility, they tend to scale back protection (fewer options hedges, tighter risk limits), which can amplify the impact of any eventual volatility pickup. Mean‑Reversion Signal After an extended streak (e.g. 20–30 days), a fresh ≥1% move is more likely—and often more violent—because pent‑up positioning flows rush to adjust. Trend Confirmation Conversely, a reset in the count (i.e., a new ≥1% move) that coincides with strong volume and follow‑through suggests genuine directional conviction rather than just a volatility “blip.”
Pine Script® indicator
by furkan.baran3
MR.Z Strategy Reversal Signal Nadaraya SMA)Nadaraya-Watson Envelope (NW Envelope): A smoothed, non-linear dynamic envelope that adapts to price structure. It visually identifies price extremes using kernel regression. The upper and lower bands move with the chart and provide reliable dynamic support and resistance. EMA Levels: Includes three key exponential moving averages: EMA 50 (short-term trend) EMA 100 (medium-term) EMA 200 (long-term, institutional level) Fully Scrollable and Responsive: All lines and envelopes are plotted using plot() so they move with the chart and respond to zoom and pan actions naturally. 🧠 Ideal Use: Identify reversal zones, dynamic support/resistance, and trend momentum exhaustion. Combine WTB and NW Envelope for confluence-based entries. Use EMA structure for trend confirmation or breakout anticipation. Let me know if you'd like to add: Divergence detection Buy/Sell signals Alerts or signal filtering options I’ll be happy to extend the description or the script accordingly!
Pine Script® indicator
by grigory84
PRO Investing - Apex EnginePRO Investing - Apex Engine 1. Core Concept: Why Does This Indicator Exist? Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static. The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action. This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines: Volatility analysis (ATR) to generate adaptive lookback periods. Momentum measurement (ROC) to gauge the speed of price changes. Statistical analysis (Correlation) to validate which momentum measurement is most effective right now. Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions. The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal. 2. How It Works: The Engine's Three-Stage Process To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal. Stage 1: Adapt (Dynamic Length Calculation) The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len. Stage 2: Validate (Self-Optimizing Mode Selection) This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard. Stage 3: Signal (Normalized Velocity Oscillator) The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light. 3. How to Use the Indicator: A Practical Guide Reading the Visuals: Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow). Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals. Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align. Background Color (Green/Red/Gray): This is your trend context. Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear. Red: Bearish trend confirmed. Only Sell signals (▼) can appear. Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out. Trading Strategy Example: Wait for a colored background. A green or red background indicates the market is in a tradable trend. Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear. Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns). Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears. 4. Settings and Customization This script is open-source, and its settings are transparent. You are encouraged to understand them. Synaptic Engine Group: Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable. Optimization Lookback: How many bars to use for the correlation check. Switch Sensitivity: A buffer to prevent frantic switching between modes. Advanced Configuration & Filters Group: Price Source: The data source for momentum calculation (default close). Trend Filter MA Type & Length: Define your long-term trend. Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA. ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold. 5. Important Disclaimer This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
Pine Script® indicator
by PRO-Investing
Liquidity Factor Spectrum [Modified by Markking77]Liquidity Spectrum Visualizer — Modified Version This script “Liquidity Spectrum Visualizer ” is an open-source tool originally created by BigBeluga under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Modified & Refactored by: Markking77 This version has been factorized and slightly modified to ensure unique functionality and better performance while respecting the original license terms. Key Features: Liquidity levels with adaptive calculation. Volume Profile histogram for easy demand/supply zones. Smart Volume Bubbles for quick visual insight. Clear color coding for uptrend/downtrend zones. Factorized code for improved readability. License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Original Author: BigBeluga Modified & Published By: Markking77 This script is provided for educational purposes only and can be freely reused or modified under the same license, with proper credit to the original author and modifier.
Pine Script® indicator
by Markking77
1
Combined Entry Signal - SMI + MACD + EMA + Volume//@version=5 indicator("Combined Entry Signal - SMI + MACD + EMA + Volume", overlay=true) // ==== INPUTS ==== smiK = input.int(5, "SMI K", minval=1) smiD = input.int(3, "SMI D", minval=1) macdFast = input.int(12, "MACD Fast") macdSlow = input.int(26, "MACD Slow") macdSignal = input.int(9, "MACD Signal") emaShort = input.int(20, "EMA Short") emaMid = input.int(50, "EMA Mid") emaLong = input.int(100, "EMA Long") volMult = input.float(1.2, "Volume Multiplier for Confirm") // ==== SMI ==== smiSource = close smi = ta.stoch(close, high, low, smiK) smiSignal = ta.sma(smi, smiD) // ==== MACD ==== = ta.macd(close, macdFast, macdSlow, macdSignal) macdCrossUp = ta.crossover(macdLine, signalLine) macdCrossDown = ta.crossunder(macdLine, signalLine) // ==== EMA Trend ==== emaS = ta.ema(close, emaShort) emaM = ta.ema(close, emaMid) emaL = ta.ema(close, emaLong) trendUp = close > emaS and emaS > emaM and emaM > emaL trendDown = close < emaS and emaS < emaM and emaM < emaL // ==== Volume confirmation ==== avgVol = ta.sma(volume, 20) volConfirm = volume > avgVol * volMult // ==== BUY/SELL CONDITIONS ==== smiBuy = smi > smiSignal and smi < 20 smiSell = smi < smiSignal and smi > 80 buySignal = smiBuy and macdCrossUp and trendUp and volConfirm sellSignal = smiSell and macdCrossDown and trendDown and volConfirm // ==== PLOTS ==== plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") plot(emaS, title="EMA 20", color=color.orange) plot(emaM, title="EMA 50", color=color.green) plot(emaL, title="EMA 100", color=color.blue)
Pine Script® indicator
by nhoanphong
Gabriel's Dynamic Sentiment RSI📊 Dynamic Sentiment RSI with Velocity, Acceleration & Divergence Detection Created by GabrielAmadeusLau This advanced Pine Script indicator fuses multiple layers of market insight into a unified momentum and sentiment tool. It is designed to extract nuanced sentiment signals from price action using a hybridized RSI model enhanced with stochastic dynamics, volatility weighting, and divergence tracking. It adapts to a wide range of asset classes including equities, crypto, gold, and forex. 🔍 Core Components ✅ 1. Dynamic Sentiment RSI A normalized, stochastic-based RSI that adjusts its sensitivity using the Sentiment Factor. Smoothed using a Jurik Moving Average for precision noise filtering. Weighted using volume, volatility (VIX-like), HL extremes, and trend-based adaptive weighting, giving it a powerful multi-dimensional response. ✅ 2. Hann-Window RSI Calculation Leverages a Hann Window and Levy Flight transformation to amplify cyclical behavior in RSI inputs. Applies power-based weighting to directional movement, ideal for assets with cyclic or fractal-like structure. ✅ 3. Velocity & Acceleration Engine Measures the rate of RSI change over a customizable period, and then the rate of that rate (acceleration). Both are plotted with adaptive coloring to visually represent momentum shifts. This dynamic structure aids in anticipating breakout strength or exhaustion. ✅ 4. Sentiment Heat Background Background shading reflects bullish (teal) or bearish (silver) sentiment using smoothed stochastic RSI outputs. Creates an intuitive market "mood" indicator for quick-glance visual analysis. 🔁 Smoothing & Weighting Customizations You can toggle between different weighting modes: Volume Weighted: Uses volume or ATR if unavailable. VIX Weighted: Incorporates a volatility-based weight via a WVF-like formula. HL Weighted: High-Low range smoothed. Linear Weighted: Applies linear regression to the signal. Trend Adaptive: Squares rolling maximums/minimums for dynamic strength adaptation. 🔎 Divergence Detection System Supports Regular & Hidden Divergence using any of the following pivots: Raw RSI Smoothed K% RSI Sentiment RSI Velocity Acceleration Allows divergence tracking on custom timeframes and Heikin Ashi data. Custom line styles, colors, and optional “last signal only” visibility. Alerts are provided for all four divergence types. 📌 Built-in Alerts ✅ Bullish/Bearish Regular Divergence ✅ Bullish/Bearish Hidden Divergence ✅ General Divergence Summary Alerts ⚙️ Highly Configurable Settings Sentiment Factor scaling (default ~2.2) Levy exponent (ideal between 0.4 to 3.2 depending on asset class) Velocity & Acceleration scaling inputs Pivot lookback controls Toggle smoothing methods and weighting logic 🧠 Ideal Use Cases Swing and Trend Trading: The dynamic structure identifies both trend continuations and reversals with precision. Divergence Confirmation: Confirm entries or exits using regular/hidden divergence alongside acceleration/velocity overlays. Adaptive Strategy Building: Integrate this tool as a sentiment engine for algorithmic trading strategies. 🔬 Recommended Settings by Asset Class Asset Type Levy Sentiment Factor Crypto 0.6–1.2 2.0–2.5 Gold 0.4–1.0 2.0–2.2 Stocks 0.9–1.2 2.2–2.5 Forex 2.5–3.2 1.8–2.3 *A sentiment Factor of 9.5 can tell the larger trend apart on Daily and up.* 🧩 Technical Notes Uses Jurik MA (Power 2, Phase 50) for minimal lag smoothing. Employs Chebyshev filters (pre-Stochastic) for advanced sentiment smoothing. Weighted RSI is normalized from -100 to 100, with color-coded velocity and acceleration histograms.
Pine Script® indicator
by GabrielAmadeusLau
The Visualized Trader (Fractal Timeframe)The **The Visualized Trader (Fractal Timeframe)** indicator for TradingView is a tool designed to help traders identify strong bullish or bearish trends by analyzing multiple technical indicators across two timeframes: the current chart timeframe and a user-selected higher timeframe. It visually displays trend alignment through arrows on the chart and a condition table in the top-right corner, making it easy to see when conditions align for potential trade opportunities. ### Key Features 1. **Multi-Indicator Analysis**: Combines five technical conditions to confirm trend direction: - **Trend**: Based on the slope of the 50-period Simple Moving Average (SMA). Upward slope indicates bullish, downward indicates bearish. - **Stochastic (Stoch)**: Uses Stochastic Oscillator (5, 3, 2) to measure momentum. Rising values suggest bullish momentum, falling values suggest bearish. - **Momentum (Mom)**: Derived from the MACD fast line (5, 20, 30). Rising MACD line indicates bullish momentum, falling indicates bearish. - **Dad**: Uses the MACD signal line. Rising signal line is bullish, falling is bearish. - **Price Change (PC)**: Compares the current close to the previous close. Higher close is bullish, lower is bearish. 2. **Dual Timeframe Comparison**: - Calculates the same five conditions on both the current timeframe and a user-selected higher timeframe (e.g., daily). - Helps traders see if the trend on the higher timeframe aligns with the current chart, providing context for stronger trade decisions. 3. **Visual Signals**: - **Arrows on Chart**: - **Current Timeframe**: Blue upward arrows below bars for bullish alignment, red downward arrows above bars for bearish alignment. - **Higher Timeframe**: Green upward triangles below bars for bullish alignment, orange downward triangles above bars for bearish alignment. - Arrows appear only when all five conditions align (all bullish or all bearish), indicating strong trend potential. 4. **Condition Table**: - Displays a table in the top-right corner with two rows: - **Top Row**: Current timeframe conditions (Trend, Stoch, Mom, Dad, PC). - **Bottom Row**: Higher timeframe conditions (labeled with "HTF"). - Each cell is color-coded: green for bullish, red for bearish. - The table can be toggled on/off via input settings. 5. **User Input**: - **Show Condition Boxes**: Toggle the table display (default: on). - **Comparison Timeframe**: Choose the higher timeframe (e.g., "D" for daily, default setting). ### How It Works - The indicator evaluates the five conditions on both timeframes. - When all conditions are bullish (or bearish) on a given timeframe, it plots an arrow/triangle to signal a strong trend. - The condition table provides a quick visual summary, allowing traders to compare the current and higher timeframe trends at a glance. ### Use Case - **Purpose**: Helps traders confirm strong trend entries by ensuring multiple indicators align across two timeframes. - **Example**: If you're trading on a 1-hour chart and see blue arrows with all green cells in the current timeframe row, plus green cells in the higher timeframe (e.g., daily) row, it suggests a strong bullish trend supported by both timeframes. - **Benefit**: Reduces noise by focusing on aligned signals, helping traders avoid weak or conflicting setups. ### Settings - Access the indicator settings in TradingView to: - Enable/disable the condition table. - Select a higher timeframe (e.g., 4H, D, W) for comparison. ### Notes - Best used in trending markets; may produce fewer signals in choppy conditions. - Combine with other analysis (e.g., support/resistance) for better decision-making. - The higher timeframe signals (triangles) provide context, so prioritize trades where both timeframes align. This indicator simplifies complex trend analysis into clear visual cues, making it ideal for traders seeking confirmation of strong momentum moves.
Pine Script® indicator
by TSA_TimeSpaceAlgorithm