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Indicators and strategies

Killzones [Plug&Play]Highlight the most important institutional trading hours with precision. The Setup Agent Killzones indicator automatically plots vertical lines to mark the key “Killzone” windows each day — London (08:00–09:00) and New York (15:00–16:00), shown in UK time. These timeframes represent periods of high volatility, where smart money activity is most likely to create the day’s major moves. How it works: Instantly visualise the London and New York Killzones with subtle vertical lines. Customise which sessions to show to fit your trading style. Stay focused on the windows where market makers are most active. Perfect for intraday traders and anyone using session-based strategies. Combine with our session indicator for a complete Plug&Play edge.
Pine Script® indicator
by TBWS_Algo
Faster Heikin AshiFaster Heikin Ashi The Faster Heikin Ashi improves traditional Heikin Ashi candles by introducing advanced weighting mechanisms and lag reduction techniques. While maintaining the price smoothing benefits of standard Heikin Ashi, this enhanced version delivers faster signals and responsiveness. Key Features Unified Responsiveness Control Single parameter (0.1 - 1.0) controls all responsiveness aspects Eliminates conflicting settings found in other enhanced HA indicators Intuitive scaling from conservative (0.1) to highly responsive (1.0) Advanced Weighted Calculations Smart Close Weighting: Close prices receive 2-3x more influence for faster trend detection Dynamic OHLC Processing: All price components are intelligently weighted based on responsiveness setting Balanced High/Low Emphasis: Maintains price level accuracy while improving speed Enhanced Open Calculation Transition Speed: Open prices "catch up" to market movements faster Lag Reduction Algorithm: Eliminates the typical delay in Heikin Ashi open calculations Smooth Integration: Maintains visual continuity while improving responsiveness Four-Color Scheme - 🟢 **Lime**: Strong bullish momentum - 🔴 **Red**: Strong bearish momentum - 🟢 **Green**: Moderate bullish - 🔴 **Maroon**: Moderate bearish How It Works Traditional Heikin Ashi smooths price action but often lags behind real market movements. This enhanced version: 1. Weights price components based on their predictive value 2. Accelerates trend transitions through advanced open calculations 3. Scales all enhancements through a single responsiveness parameter 4. Maintains smoothing benefits while reducing lag Responsiveness (0.1 - 1.0) 0.1 - 0.3: Conservative, maximum smoothing 0.4 - 0.6: Balanced, good for swing trading and trend following 0.7 - 1.0: Aggressive, fast signals, suitable for scalping and active trading
Pine Script® indicator
by B3AR_Trades
Flux Capacitor (FC)# Flux Capacitor **A volume-weighted, outlier-resistant momentum oscillator designed to expose hidden directional pressure from institutional participants.** --- ### Why "Flux Capacitor"? The name pays homage to the fictional energy core in *Back to the Future* — an invisible engine that powers movement. Similarly, this indicator detects whether price movement is being powered by real market participation (volume) or if it's coasting without conviction. --- ### Methodology The Flux Capacitor fuses three statistical layers: - **Normalized Momentum**: `(Close – Open) / ATR` Controls for raw price size and volatility. - **Volume Scaling**: Amplifies the effect of price moves that occur with elevated volume. - **Robust Normalization**: - *Winsorization* caps outlier spikes. - *MAD-Z scoring* normalizes the signal across assets (crypto, futures, stocks). - This produces consistent scaling across timeframes and symbols. The result is a smooth oscillator that reliably indicates **liquidity-backed momentum** — not just price movement. --- ### Signal Events - **Divergence (D)**: Price makes higher highs or lower lows, but Flux does not. - **Absorption (A)**: Candle shows high volume and small body, while Flux opposes the candle direction — indicates smart money stepping in. - **Compression (◆)**: High volume with low momentum — potential breakout zone. - **Zero-Cross**: Indicates directional regime flip. - **Flux Acceleration**: Histogram shows pressure rate of change. - **Regime Background**: Color fades with weakening trend conviction. All signals are color-coded and visually compact for easy pattern recognition. --- ### Interpreting Divergence & Absorption Correctly Signal strength improves significantly when it appears **in the correct zone**: #### Divergence: | Signal | Zone | Meaning | Strength | |--------|------------|------------------------------------------|--------------| | Green D | Below 0 | Bullish reversal forming in weakness | **Strong** | | Green D | Above 0 | Bullish, but less convincing | Moderate | | Red D | Above 0 | Bearish reversal forming in strength | **Strong** | | Red D | Below 0 | Bearish continuation — low warning value | Weak | #### Absorption: | Signal | Zone | Meaning | Strength | |--------|------------|-----------------------------------------|--------------| | Green A | Below 0 | Buyers absorbing panic-selling | **Strong** | | Green A | Above 0 | Support continuation | Moderate | | Red A | Above 0 | Sellers absorbing FOMO buying | **Strong** | | Red A | Below 0 | Trend continuation — not actionable | Weak | Look for **absorption or divergence signals in “enemy territory”** for the most actionable entries. --- ### Reducing Visual Footprint If your chart shows a long line of numbers across the top of the Flux Capacitor pane (e.g. "FC 14 20 9 ... Bottom Right"), it’s due to TradingView’s *status line input display*. **To fix this**: Right-click the indicator pane → **Settings** → **Status Line** tab → uncheck “Show Indicator Arguments”. This frees up vertical space so top-edge signals (like red `D` or yellow `◆`) remain visible and unobstructed. --- ### Features - Original MAD-Z based momentum design - True volume-based divergence and absorption logic - Built-in alerts for all signal types - Works across timeframes (1-min to weekly) - Minimalist, responsive layout - 25+ customizable parameters - No future leaks, no repainting --- ### Usage Scenarios - **Trend confirmation**: Flux > 0 confirms bullish trend strength - **Reversal detection**: Divergence or absorption in opposite territory = high-probability reversal - **Breakout anticipation**: Compression signal inside range often precedes directional move - **Momentum shifts**: Watch for zero-crosses + flux acceleration spikes --- ### ⚠ Visual Note for BTC, ETH, Crude Oil & Futures These high-priced or rapidly accelerating instruments can visually compress any linear oscillator. You may notice the Flux Capacitor’s line appears "flat" or muted on these assets — especially over long lookbacks. > **This does not affect signal validity.** Divergence, absorption, and compression triggers still fire based on underlying logic — only the line’s amplitude appears reduced due to scaling constraints. --- ### Disclaimer This indicator is for educational purposes only. It is not trading advice. Past results do not guarantee future performance. Use in combination with your own risk management and analysis.
Pine Script® indicator
by Finntech1
[TupTrader] Multi-Timeframe Key Levels | Smart Candle Zones **Multi-Timeframe Key Levels | Smart Candle Zones** Unlock the power of smart price levels with Multi-Timeframe Key Levels – a precision tool for traders who rely on higher timeframe structure. 🧠 This indicator automatically plots the key levels (Open, High, Low, Close) and optional body/fibonacci levels of the *previous candle* from two customizable higher timeframes, directly onto your lower timeframe chart. 💡 Recommended settings: - 4H + Daily on 5-Minute Chart - 8H + 1H on 1-Minute Chart 📈 Ideal for: - Scalping around structure levels - Day trading with HTF context - Confirmation of breakout, retest, or rejection patterns ✅ Features: - Dual reference timeframes - Auto-adjusting line lengths - Live price labels (e.g. H: 4321.50) - Choice between body or Fibonacci zones - Candle box visualization of HTF structure 🚨 Alerts: - Alert when price touches any HTF key level Lightweight and customizable, this tool is a must-have for intraday and structure-based traders.
Pine Script® indicator
by TupTrader
11
ATR-Multiple from 50SMAThis indicator provides a nuanced view of price extension by calculating the distance between the current price and its 50-period Simple Moving Average. This distance is not measured in simple percentage terms but is quantified in multiples of the Average True Range (ATR), offering a volatility-adjusted perspective on how far an asset has moved from its mean. The primary goal is to help traders identify potentially overextended conditions, which can often precede price consolidation or reversals. As a general guideline, when an asset's price stretches to multiples of 7 ATRs or more above its 50-day SMA, it often enters a zone where significant profit-taking may occur. By visualizing this extension, the indicator can serve as a powerful tool for gauging when to consider taking profits on existing long positions. Furthermore, it can act as a cautionary signal, helping traders avoid initiating new long positions in assets that are already significantly stretched and may be poised for a pullback. Features Volatility-Adjusted Extension Measures the distance from the 50 SMA in terms of ATR multiples, providing a more standardized way to compare extension across different assets and time periods. Daily Timeframe Consistency By default, the indicator uses the daily SMA and ATR for its calculations, regardless of the chart's current timeframe. This ensures a consistent and meaningful measure of extension rooted in the daily trend. Histogram Visualization Displays the result as a clear histogram in a separate pane, making it easy to track the extension level over time and identify historical extremes. Dynamic Color-Coding The histogram bars are color-coded to visually highlight different levels of extension. The colors shift as the price moves further from the mean, providing an intuitive at-a-glance reading. Key Threshold Markers Includes pre-set horizontal lines at the 7 and 10 ATR multiples to clearly mark the zones of potential profit-taking and extreme extension, respectively. Built-in Alerts Comes with configurable alert conditions that can notify you when the price reaches the "profit-taking" threshold (7 ATRs) or the "extreme extension" threshold (10 ATRs). Customization Options MA & ATR Periods You can adjust the length for the Simple Moving Average (default 50) and the Average True Range (default 14) to suit your specific analytical needs. Timeframe Source A toggle allows you to switch between always calculating using daily data (the default and recommended setting) or using the data from the current chart's timeframe. Color Display Style You can choose between a smooth color gradient that transitions elegantly with the extension level or a distinct, step-based color display for a clearer visual separation of the defined zones. Full Color Scheme Control Every visual element is fully customizable. You can change the colors for the regular extension, the "get ready," "profit-taking," and "extreme" levels, as well as the horizontal reference lines.
Pine Script® indicator
by shftd
HOG Liquidity HunterHOG Liquidity Hunter – Pivot‑Based Liquidity Zones 📌 Overview Plots dynamic support and resistance zones on swing pivots with an ATR‑based buffer. Anchored only when pivots are confirmed, the zones stay close to current price levels—ideal for spotting liquidity runs or traps. 🔧 How It Works Detects swing highs and lows using ta.pivothigh() / ta.pivotlow() with a user‑defined lookback. After a pivot is confirmed, calculates BSL/SSL zone = pivot ± (ATR * margin). Zones update only on confirmed pivots—no repainting on open bars. ⚙️ Inputs Lookback: bars to confirm pivots (e.g. 10–20). ATR Margin Multiplier: buffer width (e.g. 1.25). ✅ Benefits Structure‑focused: Zones align with real swing points. Responsive yet stable: Tight ATR margin keeps zones precise, only updating on valid pivots. Clean visuals: Two uncluttered zones—easy to interpret. 🛠 How to Use Detect near‑zone bounce entries or exits on 4H/1D charts. Combine with trend or volume indicators for stronger setups. Use zones to identify potential stop‑run, liquidity re‑tests, or range turns. ⚠️ Notes & Disclaimers Zones base off historical pivots; may lag until confirmed. No future-looking data—relying entirely on closing bar confirmation. Use alongside a complete trading framework; this is not a standalone signal.
Pine Script® indicator
by Houseofgain
5
True Hour Open🧠 Why Count an Hour from 30th Minute to 30th Minute? ✅ Traditional Hour vs. Functional Hour Traditional Time Logic: We’re used to viewing time in clean hourly chunks: 12:00 to 1:00, 1:00 to 2:00, and so on. This structure is fine for general purposes like clocks, meetings, and schedules. Market Logic: Markets, however, don’t always respect these arbitrary human-made time divisions. Price action often develops momentum, structure, and transitions based on market participants' behavior, not on the clock. 🛠 What the Indicator Does Marks the start of each hour at the 30th minute past the hour (e.g., 1:30, 2:30, 3:30). Can highlight or segment candles that fall within a “30-to-30” hourly window. Optionally draws background shading, lines, or boxes to visually group candles from one 30-minute mark to the next. This helps you: Visually align your trading with more accurate price behavior windows. Anchor time blocks around actual market rhythm, not artificial time slots. Backtest and strategize based on how candles behave in these alternative hourly segments. 📈 Summary Trading is about timing. But great trading is about timing that makes sense. By redefining the hour from 30 to 30, you’re not changing time—you’re aligning with how price moves in time.
Pine Script® indicator
by veztiano
Doji Signals with Wick ColorThis indicator identifies Doji candlestick patterns on the chart and highlights both the candle body and wicks in yellow for better visibility. A Doji is defined as a candle where the body size is relatively small compared to the full range (high - low), indicating market indecision. You can adjust the maximum allowed body size as a percentage of the total candle range using the "Doji's Max Body Size" input. The indicator works by: Calculating the body size (abs(open - close)) Comparing it to a threshold (precision * (high - low)) Highlighting candles that meet the condition as Doji, coloring both the body and wick in yellow This visual aid helps traders quickly spot potential reversal or pause areas in price action based on candlestick psychology.
Pine Script® indicator
by nguyenngocduc1187
Dynamic Flow Ribbons [BigBeluga]🔵 OVERVIEW A dynamic multi-band trend visualization system that adapts to market volatility and reveals trend momentum with layered ribbon channels. Dynamic Flow Ribbons transforms price action into flowing trend bands that expand and contract with volatility. It not only shows the active directional bias but also visualizes how strong or weak the trend is through layered ribbons, making it easier to assess trend quality and structure. 🔵 CONCEPTS Uses an adaptive trend detection system built on a volatility envelope derived from an EMA of the average price (HLC3). Measures volatility using a long-period average of the high-low range, which scales the envelope width dynamically. Trend direction flips when the average price crosses above or below these envelopes. Ribbons form around the trend line to show how far price is stretching or compressing relative to the mean. 🔵 FEATURES Volatility-Based Trend Line: A thick, color-coded line tracks the current trend with smoother transitions between phases. Multi-Layered Flow Ribbons: Up to 10 bands (5 above and 5 below) radiate outward from the upper and lower envelopes, reflecting volatility strength and direction. Trend Coloring & Transitions: Ribbons and candles are dynamically colored based on trend direction— green for bullish , orange for bearish . Transparency fades with distance from the core trend band. Real-Time Responsiveness: Ribbon structure and trend shifts update in real time, adapting instantly to fast market changes. 🔵 HOW TO USE Use the color and thickness of the core trend line to follow directional bias. When ribbons widen symmetrically, it signals strong trend momentum . Narrowing or overlapping ribbons can suggest consolidation or transition zones . Combine with breakout systems or volume tools to confirm impulsive or corrective phases . Adjust the “Length” (factor) input to tune sensitivity—higher values smooth trends more. 🔵 CONCLUSION Dynamic Flow Ribbons offers a sleek and insightful view into trend strength and structure. By visualizing volatility expansion with directional flow, it becomes a powerful overlay for momentum traders, swing strategists, and trend followers who want to stay ahead of evolving market flows
Pine Script® indicator
by BigBeluga
3
Setup Score OscillatorSetup Score Oscillator – Full Description 🎯 Purpose of the Script This script is a manual trading setup scoring tool, designed to help traders quantify the quality of a trade setup by combining multiple technical, cyclical, and contextual signals. Instead of relying on a single indicator, the trader manually selects which signals are present, and the script calculates a total score (0–100%), displayed as an oscillator in a separate panel (like RSI or MACD). 🔧 How it works in practice 1. Manual signal inputs The script presents a set of checkboxes in the settings, where the trader can enable/disable the following signals: ✅ Confirmed Support/Resistance ✅ Aligned Volume Profile ✅ Favorable Cyclic Timing ✅ Valid Trend Line ✅ Aligned Cyclical Moving Averages ✅ Relevant Fibonacci Level ✅ Classic Volume Signal (spike, dry-up, etc.) ✅ Oscillator confirmation (e.g., divergences) ✅ Extreme Sentiment ✅ Relevant or incoming News Each selected signal contributes to the total score based on its weight. 2. Scoring system Each signal has a default weight (e.g., 20% for support/resistance, 15% for cycles, etc.). Optionally, the trader can enable the “custom weights” checkbox and adjust each signal’s weight directly in the settings. 3. Score visualization The final score (sum of all active weights) is plotted as an oscillator ranging from 0 to 100%, with dynamic coloring: Range Color Meaning 0–39% Red No valid setup 40–54% Yellow Watchlist only 55–69% Orange Good setup 70–100% Green Strong setup Several horizontal threshold lines are displayed: 50% → neutral threshold 40%, 55%, 70% → operational levels 4. Optional background coloring When the score exceeds 55% or 70%, the oscillator background lightly changes color to highlight stronger setups (non-intrusive). 📌 Practical benefits Objectifies subjective analysis: each decision becomes a number. Prevents overtrading: no entries if the score is too low. Adaptable to any trading style: swing, intraday, positional. User-friendly: no coding needed – just tick boxes. Italiano: Setup Score Oscillator – Descrizione completa 🎯 Obiettivo dello script Lo script è uno strumento manuale di valutazione dei setup di trading, pensato per aiutare il trader a quantificare la qualità di un'opportunità operativa basandosi su più segnali tecnici, ciclici e contestuali. Invece di affidarsi a un solo indicatore, il trader seleziona manualmente quali segnali sono presenti, e lo script calcola un punteggio complessivo percentuale (0–100%), rappresentato come oscillatore in una finestra separata (tipo RSI, MACD, ecc.). 🔧 Come funziona operativamente 1. Input manuale dei segnali Lo script mostra una serie di checkbox nelle impostazioni, dove il trader può attivare o disattivare i seguenti segnali: ✅ Supporto/Resistenza confermata ✅ Volume Profile allineato ✅ Cicli o timing favorevole ✅ Trend line valida ✅ Medie mobili cicliche allineate ✅ Livello di Fibonacci rilevante ✅ Volume classico significativo (spike, dry-up) ✅ Conferme da oscillatori (es. divergenze) ✅ Sentiment estremo (es. euforia o panico) ✅ News importanti imminenti o appena uscite Ogni casella attiva contribuisce al punteggio totale, con un peso specifico. 2. Sistema di punteggio Ogni segnale ha un peso predefinito (es. 20% per supporti/resistenze, 15% per cicli, ecc.). Facoltativamente, il trader può attivare la funzione “Enable custom weights” per personalizzare i pesi di ciascun segnale direttamente da input. 3. Visualizzazione del punteggio Il punteggio complessivo (somma dei pesi attivati) viene tracciato come oscillatore da 0 a 100%, con colori dinamici: Range Colore Significato 0–39% Rosso Nessun setup valido 40–54% Giallo Osservazione 55–69% Arancione Setup buono 70–1005 Verde Setup forte Sono tracciate anche delle linee guida orizzontali a: 50% → soglia neutra 40%, 55%, 70% → soglie operative 4. Colorazione dello sfondo (facoltativa) Quando il punteggio supera 55% o 70%, lo sfondo dell’oscillatore cambia leggermente colore per evidenziare il segnale (non invasivo). 📌 Vantaggi pratici Oggettivizza l’analisi soggettiva: ogni decisione manuale si trasforma in un numero. Evita overtrading: se il punteggio è troppo basso, non si entra. Adattabile a ogni stile: swing, intraday, position. Facile da usare anche senza codice: basta spuntare le caselle.
Pine Script® indicator
by JoMerende
2
Squeeze Pro Momentum BAR color - KLTDescription: The Squeeze Pro Momentum indicator is a powerful tool designed to detect volatility compression ("squeeze" zones) and visualize momentum shifts using a refined color-based system. This script blends the well-known concepts of Bollinger Bands and Keltner Channels with an optimized momentum engine that uses dynamic color gradients to reflect trend strength, direction, and volatility. It’s built for traders who want early warning of potential breakouts and clearer insight into underlying market momentum. 🔍 How It Works: 📉 Squeeze Detection: This indicator identifies "squeeze" conditions by comparing Bollinger Bands and Keltner Channels: When Bollinger Bands are inside Keltner Channels → Squeeze is ON When Bollinger Bands expand outside Keltner Channels → Squeeze is OFF You’ll see squeeze zones classified as: Wide Normal Narrow Each represents varying levels of compression and breakout potential. ⚡ Momentum Engine: Momentum is calculated using linear regression of the price's deviation from a dynamic average of highs, lows, and closes. This gives a more accurate representation of directional pressure in the market. 🧠 Smart Candle Coloring (Optimized): The momentum color logic is inspired by machine learning principles (no hardcoded thresholds): EMA smoothing and rate of change (ROC) are used to detect momentum acceleration. ATR-based filters help remove noise and false signals. Colors are dynamically assigned based on both direction and trend strength. 🧪 How to Use It: Look for Squeeze Conditions — especially narrow squeezes, which tend to precede high-momentum breakouts. Confirm with Momentum Color — strong colors often indicate trend continuation; fading colors may signal exhaustion. Combine with Price Action — use this tool with support/resistance or patterns for higher probability setups. Recommended For: Trend Traders Breakout Traders Volatility Strategy Users Anyone who wants visual clarity on trend strength 📌 Tip: This indicator works great when layered with volume and price action patterns. It is fully non-repainting and supports overlay on price charts.
Pine Script® indicator
by KeyLevelsTrading-KLT
Disguised Candles by The School of Dalal StreetDisguised Candles corrects one of the subtle visual distortions present in normal candlestick charts — the mismatch between the close of one candle and the open of the next. On many instruments (especially at day/session breaks), the next candle’s open often jumps due to price gaps or data feed behavior. This can make reading the flow of price action harder than necessary. Disguised Candles fixes this by plotting synthetic candles where the open of each candle is forced to match the close of the previous one — creating a visually continuous flow of price. Real candles are made fully transparent, so only the "corrected" candles are visible. This allows traders to: Visualize price flow as a smooth path Better spot true directional shifts and trends Avoid distractions caused by technical gaps that are not meaningful to their strategy 🚀 Pure visual clarity. No noise from false opens. How it works: The open of each synthetic candle = close of previous real candle High, Low, Close remain unchanged Colors are based on Close vs Corrected Open Real chart candles are hidden under a transparent overlay Use this as a clean canvas for trend analysis or as a foundation for building new visual systems.
Pine Script® indicator
by connectwiththewolves
Market Balance LevelMarket Balance Level (MBL) This indicator dynamically identifies price consolidation zones (market balance levels) and plots a horizontal line at the average midpoint of the range once a valid breakout occurs. It helps traders visualize key zones where the market was previously in equilibrium and is likely to retest before continuing its trend. How It Works: Detects consolidation ranges using consecutive candles within a tight high-low structure. When a breakout occurs (above or below the range), it plots a line at the average midpoint of the consolidation. Triangles are drawn on breakouts to visually confirm the breakout direction. Lines can be customized by color, width, and breakout direction (bullish, bearish, or both). Recommended Use: Wait for price to return to the Market Balance Level (MBL). These levels often act as strong support or resistance. Enter upon engulfment (candle closes strongly in the direction of the breakout), confirming continuation. Features: Adjustable consolidation sensitivity and line length. Option to show/hide bullish or bearish MBLs. Visual breakout markers (triangles) with alert support. Optional alert messages for breakout events. Use this tool to enhance your structure-based or SMC-style trading strategies.
Pine Script® indicator
by The_Forex_Steward
Differential-Isaac-Newton Description of the Differential-Isaac-Newton Indicator (DF-Newton) This indicator plots custom Fibonacci levels on the chart using configurable multiples and offers various display options to assist with technical analysis. What does it do? Calculates and plots Fibonacci levels based on user-defined multiples (default multiple is 20). Allows switching between long mode (buy) and short mode (sell) to adjust the levels accordingly. Displays horizontal lines at Fibonacci levels with customizable colors and styles. Shows labels with different information such as level price, Fibonacci percentage, and difference between levels. Includes controls to show/hide different elements and customize the appearance. How to use it? Main Settings Multiple of 2 for Fibonacci: Defines the percentage interval used to calculate Fibonacci levels (e.g., 20 creates levels at 0%, 20%, 40%, etc.). Line Horizontal Offset: Defines the horizontal distance (in bars) of the Fibonacci line to improve visibility. Short Mode: Enable to calculate levels based on a downward movement (from low to high). Classic Mode: Changes the line colors to a classic Fibonacci color scheme (blue, green, yellow, orange, red). Toggle Solid Line: Switches between solid and dotted lines for Fibonacci levels. Labels Choose which information to display on the labels next to the lines: Show Only Level Prices: Displays only the Fibonacci level price. Show Only Level Percentages: Displays only the Fibonacci percentage level. Show Difference Values (Δ): Shows the difference between the current and previous level, along with the percentage (which can be hidden). Hide Percentage in Difference Mode: Hides the percentage when difference mode is enabled. Hide All Labels: Hides all labels from the chart. Visual Customization Label Size: Size of the label text (XS, S, M, L). Label Horizontal Offset: Horizontal distance of labels relative to the lines. Background Offset: Adjusts background color offset for better visibility. Fibonacci Line Color: Color of the Fibonacci lines (when classic mode is off). Label Text Color: Color of the label text. Level Interpretation Fibonacci levels are calculated between the highest high and lowest low of the last 100 candles. The indicator plots horizontal lines at Fibonacci levels according to the selected multiple. Line colors help identify important levels (configurable in classic mode). Labels show the exact level price and Fibonacci percentage, helping with entry, exit, support, and resistance decisions. Recommendations Use Short Mode to analyze Fibonacci levels for sell trades. Use Classic Mode for a traditional color scheme and easier identification. Adjust Line Horizontal Offset to avoid overlapping current candles. Combine price and percentage display for easier analysis. Explore Difference Mode (Δ) to understand gaps between consecutive Fibonacci levels. Practical Example If you set the multiple to 20, the indicator will show levels at 0%, 20%, 40%, 60%, 80%, and 100%. Each level will have a horizontal line and a label showing the corresponding price and percentage, or the difference from the previous level, depending on your settings.
Pine Script® indicator
by Canhoto-Medium
11
Volatility Quality [Alpha Extract]The Alpha-Extract Volatility Quality (AVQ) Indicator provides traders with deep insights into market volatility by measuring the directional strength of price movements. This sophisticated momentum-based tool helps identify overbought and oversold conditions, offering actionable buy and sell signals based on volatility trends and standard deviation bands. 🔶 CALCULATION The indicator processes volatility quality data through a series of analytical steps: Bar Range Calculation: Measures true range (TR) to capture price volatility. Directional Weighting: Applies directional bias (positive for bullish candles, negative for bearish) to the true range. VQI Computation: Uses an exponential moving average (EMA) of weighted volatility to derive the Volatility Quality Index (VQI). vqiRaw = ta.ema(weightedVol, vqiLen) Smoothing: Applies an additional EMA to smooth the VQI for clearer signals. Normalization: Optionally normalizes VQI to a -100/+100 scale based on historical highs and lows. Standard Deviation Bands: Calculates three upper and lower bands using standard deviation multipliers for volatility thresholds. vqiStdev = ta.stdev(vqiSmoothed, vqiLen) upperBand1 = vqiSmoothed + (vqiStdev * stdevMultiplier1) upperBand2 = vqiSmoothed + (vqiStdev * stdevMultiplier2) upperBand3 = vqiSmoothed + (vqiStdev * stdevMultiplier3) lowerBand1 = vqiSmoothed - (vqiStdev * stdevMultiplier1) lowerBand2 = vqiSmoothed - (vqiStdev * stdevMultiplier2) lowerBand3 = vqiSmoothed - (vqiStdev * stdevMultiplier3) Signal Generation: Produces overbought/oversold signals when VQI reaches extreme levels (±200 in normalized mode). Formula: Bar Range = True Range (TR) Weighted Volatility = Bar Range × (Close > Open ? 1 : Close < Open ? -1 : 0) VQI Raw = EMA(Weighted Volatility, VQI Length) VQI Smoothed = EMA(VQI Raw, Smoothing Length) VQI Normalized = ((VQI Smoothed - Lowest VQI) / (Highest VQI - Lowest VQI) - 0.5) × 200 Upper Band N = VQI Smoothed + (StdDev(VQI Smoothed, VQI Length) × Multiplier N) Lower Band N = VQI Smoothed - (StdDev(VQI Smoothed, VQI Length) × Multiplier N) 🔶 DETAILS Visual Features: VQI Plot: Displays VQI as a line or histogram (lime for positive, red for negative). Standard Deviation Bands: Plots three upper and lower bands (teal for upper, grayscale for lower) to indicate volatility thresholds. Reference Levels: Horizontal lines at 0 (neutral), +100, and -100 (in normalized mode) for context. Zone Highlighting: Overbought (⋎ above bars) and oversold (⋏ below bars) signals for extreme VQI levels (±200 in normalized mode). Candle Coloring: Optional candle overlay colored by VQI direction (lime for positive, red for negative). Interpretation: VQI ≥ 200 (Normalized): Overbought condition, strong sell signal. VQI 100–200: High volatility, potential selling opportunity. VQI 0–100: Neutral bullish momentum. VQI 0 to -100: Neutral bearish momentum. VQI -100 to -200: High volatility, strong bearish momentum. VQI ≤ -200 (Normalized): Oversold condition, strong buy signal. 🔶 EXAMPLES Overbought Signal Detection: When VQI exceeds 200 (normalized), the indicator flags potential market tops with a red ⋎ symbol. Example: During strong uptrends, VQI reaching 200 has historically preceded corrections, allowing traders to secure profits. Oversold Signal Detection: When VQI falls below -200 (normalized), a lime ⋏ symbol highlights potential buying opportunities. Example: In bearish markets, VQI dropping below -200 has marked reversal points for profitable long entries. Volatility Trend Tracking: The VQI plot and bands help traders visualize shifts in market momentum. Example: A rising VQI crossing above zero with widening bands indicates strengthening bullish momentum, guiding traders to hold or enter long positions. Dynamic Support/Resistance: Standard deviation bands act as dynamic volatility thresholds during price movements. Example: Price reversals often occur near the third standard deviation bands, providing reliable entry/exit points during volatile periods. 🔶 SETTINGS Customization Options: VQI Length: Adjust the EMA period for VQI calculation (default: 14, range: 1–50). Smoothing Length: Set the EMA period for smoothing (default: 5, range: 1–50). Standard Deviation Multipliers: Customize multipliers for bands (defaults: 1.0, 2.0, 3.0). Normalization: Toggle normalization to -100/+100 scale and adjust lookback period (default: 200, min: 50). Display Style: Switch between line or histogram plot for VQI. Candle Overlay: Enable/disable VQI-colored candles (lime for positive, red for negative). The Alpha-Extract Volatility Quality Indicator empowers traders with a robust tool to navigate market volatility. By combining directional price range analysis with smoothed volatility metrics, it identifies overbought and oversold conditions, offering clear buy and sell signals. The customizable standard deviation bands and optional normalization provide precise context for market conditions, enabling traders to make informed decisions across various market cycles.
Pine Script® indicator
by AlphaExtract
1
MACD Breakout SuperCandlesMACD Breakout SuperCandles The MACD Breakout SuperCandles indicator is a candle-coloring tool that monitors trend alignment across multiple timeframes using a combination of MACD behavior and simple price structure. It visually reflects market sentiment directly on price candles, helping traders quickly recognize shifting momentum conditions. How It Works The script evaluates trend behavior based on: - Multi-timeframe MACD Analysis: Uses MACD values and signal line relationships to gauge trend direction and strength. - Price Relative to SMA Zones: Analyzes whether price is positioned above or below the 20-period high and low SMAs on each timeframe. For each timeframe, the script assigns one of five possible trend statuses: - SUPERBULL: Strong bullish MACD signal with price above both SMAs. - Bullish: Bullish MACD crossover with price showing upward bias. - Basing: MACD flattening or neutralizing near zero with no directional dominance. - Bearish: Bearish MACD signal without confirmation of stronger trend. - SUPERBEAR: Strong bearish MACD signal with price below both SMAs. -Ghost Candles: Candles with basing attributes that can signal directional change or trend strength. Signal Scoring System The script compares conditions across four timeframes: - TF1 (Short) - TF2 (Medium) - TF3 (Long) - MACD at a fixed 10-minute resolution Each status type is tracked independently. A colored candle is only applied when a status type (e.g., SUPERBULL) reaches the minimum match threshold, defined by the "Min Status Matches for Candle Color" setting. If no status meets the required threshold, the candle is displayed in a neutral "Ghost" color. Customizable Visuals The indicator offers full control over candle appearance via grouped settings: Body Colors - SUPERBULL Body - Bullish Body - Basing Body - Bearish Body - SUPERBEAR Body - Ghost Candle Body (used when no match) Border & Wick Colors - SUPERBULL Border/Wick - Bullish Border/Wick - Basing Border/Wick - Bearish Border/Wick - SUPERBEAR Border/Wick - Ghost Border/Wick Colors are grouped by function and can be adjusted independently to match your chart theme or personal preferences. Settings Overview - TF1, TF2, TF3: Select short, medium, and long timeframes to monitor trend structure. - Min Status Matches: Set how many timeframes must agree before a candle status is applied. - MACD Settings: Customize MACD fast, slow, and signal lengths, and choose MA type (EMA, SMA, WMA). This tool helps visualize how aligned various timeframe conditions are by embedding sentiment into the candles themselves. It can assist with trend identification, momentum confirmation, or visual filtering for discretionary strategies.
Pine Script® indicator
by Midgar-
7
Multifractal Forecast [ScorsoneEnterprises]Multifractal Forecast Indicator The Multifractal Forecast is an indicator designed to model and forecast asset price movements using a multifractal framework. It uses concepts from fractal geometry and stochastic processes, specifically the Multifractal Model of Asset Returns (MMAR) and fractional Brownian motion (fBm), to generate price forecasts based on historical price data. The indicator visualizes potential future price paths as colored lines, providing traders with a probabilistic view of price trends over a specified trading time scale. Below is a detailed breakdown of the indicator’s functionality, inputs, calculations, and visualization. Overview Purpose: The indicator forecasts future price movements by simulating multiple price paths based on a multifractal model, which accounts for the complex, non-linear behavior of financial markets. Key Concepts: Multifractal Model of Asset Returns (MMAR): Models price movements as a multifractal process, capturing varying degrees of volatility and self-similarity across different time scales. Fractional Brownian Motion (fBm): A generalization of Brownian motion that incorporates long-range dependence and self-similarity, controlled by the Hurst exponent. Binomial Cascade: Used to model trading time, introducing heterogeneity in time scales to reflect market activity bursts. Hurst Exponent: Measures the degree of long-term memory in the price series (persistence, randomness, or mean-reversion). Rescaled Range (R/S) Analysis: Estimates the Hurst exponent to quantify the fractal nature of the price series. Inputs The indicator allows users to customize its behavior through several input parameters, each influencing the multifractal model and forecast generation: Maximum Lag (max_lag): Type: Integer Default: 50 Minimum: 5 Purpose: Determines the maximum lag used in the rescaled range (R/S) analysis to calculate the Hurst exponent. A higher lag increases the sample size for Hurst estimation but may smooth out short-term dynamics. 2 to the n values in the Multifractal Model (n): Type: Integer Default: 4 Purpose: Defines the resolution of the multifractal model by setting the size of arrays used in calculations (N = 2^n). For example, n=4 results in N=16 data points. Larger n increases computational complexity and detail but may exceed Pine Script’s array size limits (capped at 100,000). Multiplier for Binomial Cascade (m): Type: Float Default: 0.8 Purpose: Controls the asymmetry in the binomial cascade, which models trading time. The multiplier m (and its complement 2.0 - m) determines how mass is distributed across time scales. Values closer to 1 create more balanced cascades, while values further from 1 introduce more variability. Length Scale for fBm (L): Type: Float Default: 100,000.0 Purpose: Scales the fractional Brownian motion output, affecting the amplitude of simulated price paths. Larger values increase the magnitude of forecasted price movements. Cumulative Sum (cum): Type: Integer (0 or 1) Default: 1 Purpose: Toggles whether the fBm output is cumulatively summed (1=On, 0=Off). When enabled, the fBm series is accumulated to simulate a price path with memory, resembling a random walk with long-range dependence. Trading Time Scale (T): Type: Integer Default: 5 Purpose: Defines the forecast horizon in bars (20 bars into the future). It also scales the binomial cascade’s output to align with the desired trading time frame. Number of Simulations (num_simulations): Type: Integer Default: 5 Minimum: 1 Purpose: Specifies how many forecast paths are simulated and plotted. More simulations provide a broader range of possible price outcomes but increase computational load. Core Calculations The indicator combines several mathematical and statistical techniques to generate price forecasts. Below is a step-by-step explanation of its calculations: Log Returns (lgr): The indicator calculates log returns as math.log(close / close ) when both the current and previous close prices are positive. This measures the relative price change in a logarithmic scale, which is standard for financial time series analysis to stabilize variance. Hurst Exponent Estimation (get_hurst_exponent): Purpose: Estimates the Hurst exponent (H) to quantify the degree of long-term memory in the price series. Method: Uses rescaled range (R/S) analysis: For each lag from 2 to max_lag, the function calc_rescaled_range computes the rescaled range: Calculate the mean of the log returns over the lag period. Compute the cumulative deviation from the mean. Find the range (max - min) of the cumulative deviation. Divide the range by the standard deviation of the log returns to get the rescaled range. The log of the rescaled range (log(R/S)) is regressed against the log of the lag (log(lag)) using the polyfit_slope function. The slope of this regression is the Hurst exponent (H). Interpretation: H = 0.5: Random walk (no memory, like standard Brownian motion). H > 0.5: Persistent behavior (trends tend to continue). H < 0.5: Mean-reverting behavior (price tends to revert to the mean). Fractional Brownian Motion (get_fbm): Purpose: Generates a fractional Brownian motion series to model price movements with long-range dependence. Inputs: n (array size 2^n), H (Hurst exponent), L (length scale), cum (cumulative sum toggle). Method: Computes covariance for fBm using the formula: 0.5 * (|i+1|^(2H) - 2 * |i|^(2H) + |i-1|^(2H)). Uses Hosking’s method (referenced from Columbia University’s implementation) to generate fBm: Initializes arrays for covariance (cov), intermediate calculations (phi, psi), and output. Iteratively computes the fBm series by incorporating a random term scaled by the variance (v) and covariance structure. Applies scaling based on L / N^H to adjust the amplitude. Optionally applies cumulative summation if cum = 1 to produce a path with memory. Output: An array of 2^n values representing the fBm series. Binomial Cascade (get_binomial_cascade): Purpose: Models trading time (theta) to account for non-uniform market activity (e.g., bursts of volatility). Inputs: n (array size 2^n), m (multiplier), T (trading time scale). Method: Initializes an array of size 2^n with values of 1.0. Iteratively applies a binomial cascade: For each block (from 0 to n-1), splits the array into segments. Randomly assigns a multiplier (m or 2.0 - m) to each segment, redistributing mass. Normalizes the array by dividing by its sum and scales by T. Checks for array size limits to prevent Pine Script errors. Output: An array (theta) representing the trading time, which warps the fBm to reflect market activity. Interpolation (interpolate_fbm): Purpose: Maps the fBm series to the trading time scale to produce a forecast. Method: Computes the cumulative sum of theta and normalizes it to . Interpolates the fBm series linearly based on the normalized trading time. Ensures the output aligns with the trading time scale (T). Output: An array of interpolated fBm values representing log returns over the forecast horizon. Price Path Generation: For each simulation (up to num_simulations): Generates an fBm series using get_fbm. Interpolates it with the trading time (theta) using interpolate_fbm. Converts log returns to price levels: Starts with the current close price. For each step i in the forecast horizon (T), computes the price as prev_price * exp(log_return). Output: An array of price levels for each simulation. Visualization: Trigger: Updates every T bars when the bar state is confirmed (barstate.isconfirmed). Process: Clears previous lines from line_array. For each simulation, plots a line from the current bar’s close price to the forecasted price at bar_index + T. Colors the line using a gradient (color.from_gradient) based on the final forecasted price relative to the minimum and maximum forecasted prices across all simulations (red for lower prices, teal for higher prices). Output: Multiple colored lines on the chart, each representing a possible price path over the next T bars. How It Works on the Chart Initialization: On each bar, the indicator calculates the Hurst exponent (H) using historical log returns and prepares the trading time (theta) using the binomial cascade. Forecast Generation: Every T bars, it generates num_simulations price paths: Each path starts at the current close price. Uses fBm to model log returns, warped by the trading time. Converts log returns to price levels. Plotting: Draws lines from the current bar to the forecasted price T bars ahead, with colors indicating relative price levels. Dynamic Updates: The forecast updates every T bars, replacing old lines with new ones based on the latest price data and calculations. Key Features Multifractal Modeling: Captures complex market dynamics by combining fBm (long-range dependence) with a binomial cascade (non-uniform time). Customizable Parameters: Allows users to adjust the forecast horizon, model resolution, scaling, and number of simulations. Probabilistic Forecast: Multiple simulations provide a range of possible price outcomes, helping traders assess uncertainty. Visual Clarity: Gradient-colored lines make it easy to distinguish bullish (teal) and bearish (red) forecasts. Potential Use Cases Trend Analysis: Identify potential price trends or reversals based on the direction and spread of forecast lines. Risk Assessment: Evaluate the range of possible price outcomes to gauge market uncertainty. Volatility Analysis: The Hurst exponent and binomial cascade provide insights into market persistence and volatility clustering. Limitations Computational Intensity: Large values of n or num_simulations may slow down execution or hit Pine Script’s array size limits. Randomness: The binomial cascade and fBm rely on random terms (math.random), which may lead to variability between runs. Assumptions: The model assumes log-normal price movements and fractal behavior, which may not always hold in extreme market conditions. Adjusting Inputs: Set max_lag based on the desired depth of historical analysis. Adjust n for model resolution (start with 4–6 to avoid performance issues). Tune m to control trading time variability (0.5–1.5 is typical). Set L to scale the forecast amplitude (experiment with values like 10,000–1,000,000). Choose T based on your trading horizon (20 for short-term, 50 for longer-term for example). Select num_simulations for the number of forecast paths (5–10 is reasonable for visualization). Interpret Output: Teal lines suggest bullish scenarios, red lines suggest bearish scenarios. A wide spread of lines indicates high uncertainty; convergence suggests a stronger trend. Monitor Updates: Forecasts update every T bars, so check the chart periodically for new projections. Chart Examples This is a daily AMEX:SPY chart with default settings. We see the simulations being done every T bars and they provide a range for us to analyze with a few simulations still in the range. On this intraday PEPPERSTONE:COCOA chart I modified the Length Scale for fBm, L, parameter to be 1000 from 100000. Adjusting the parameter as you switch between timeframes can give you more contextual simulations. On BITSTAMP:ETHUSD I modified the L to be 1000000 to have a more contextual set of simulations with crypto's volatile nature. With L at 100000 we see the range for NASDAQ:TLT is correctly simulated. The recent pop stays within the bounds of the highest simulation. Note this is a cherry picked example to show the power and potential of these simulations. Technical Notes Error Handling: The script includes checks for array size limits and division by zero (math.abs(denominator) > 1e-10, v := math.max(v, 1e-10)). External Reference: The fBm implementation is based on Hosking’s method (www.columbia.edu), ensuring a robust algorithm. Conclusion The Multifractal Forecast is a powerful tool for traders seeking to model complex market dynamics using a multifractal framework. By combining fBm, binomial cascades, and Hurst exponent analysis, it generates probabilistic price forecasts that account for long-range dependence and non-uniform market activity. Its customizable inputs and clear visualizations make it suitable for both technical analysis and strategy development, though users should be mindful of its computational demands and parameter sensitivity. For optimal use, experiment with input settings and validate forecasts against other technical indicators or market conditions.
Pine Script® indicator
by ScorsoneEnterprises
Futures Margin Lookup TableThis script applies a table to your chart, which provides the intraday and overnight margin requirements of the currently selected symbol. In this indicator the user must provide the broker data in the form of specifically formatted text blocks. The data for which should be found on the broker website under futures margin requirements. The purpose for it's creation is due to the non-standard way each individual broker may price their margins and lack of information within TradingView when connected to some (maybe all) brokers, including during paper trading, as the flat percentage rule is not accurate. An example of information could look like this MES;Micro S&P;$50;$2406 ES;E-Mini S&P;$500;$24,053 GC;Gold;$500;$16500 NQ;E-Mini Nasdaq;$1,000;$34,810 FDAX;Dax Index;€2,000;€44,311 Each symbol begins a new line, and the values on that line are separated by semicolons (;) Each line consists of the following... SYMBOL : Search string used to match to the beginning of the current chart symbol. NAME: Human readable name INTRA: Intraday trading margin requirement per contract OVERNIGHT: Overnight trading margin requirement per contract The script simply finds a matching line within your provided information using the current chart symbol. So for example the continuous chart for NQ1! would match to the user specified line starting with NQ... as would the individual contract dates such as NQM2025, NQK2025, etc. NOTES: There is a possibility that symbols with similar starting characters could match. If this is the case put the longer symbol higher in the list. There is also a line / character limit to the text input fields within pinescript. Ensure the text you enter / paste into them is not truncated. If so there are 3 input fields for just this purpose. Find the last complete line and continue the remaining symbol lines on the subsequent inputs.
Pine Script® indicator
by sannyasi007
Fibonacci Entry Bands [AlgoAlpha]OVERVIEW This script plots Fibonacci Entry Bands, a trend-following and mean-reversion hybrid system built around dynamic volatility-adjusted bands scaled using key Fibonacci levels. It calculates a smoothed basis line and overlays multiple bands at fixed Fibonacci multipliers of either ATR or standard deviation. Depending on the trend direction, specific upper or lower bands become active, offering a clear framework for entry timing, trend identification, and profit-taking zones. CONCEPTS The core idea is to use Fibonacci levels—0.618, 1.0, 1.618, and 2.618—as multipliers on a volatility measure to form layered price bands around a trend-following moving average. Trends are defined by whether the basis is rising or falling. The trend determines which side of the bands is emphasized: upper bands for downtrends, lower bands for uptrends. This approach captures both directional bias and extreme price extensions. Take-profit logic is built in via crossovers relative to the outermost bands, scaled by user-selected aggressiveness. FEATURES Basis Line – A double EMA smoothing of the source defines trend direction and acts as the central mean. Volatility Bands – Four levels per side (based on selected ATR or stdev) mark the Fibonacci bands. These become visible only when trend direction matches the side (e.g., only lower bands plot in an uptrend). Bar Coloring – Bars are shaded with adjustable transparency depending on distance from the basis, with color intensity helping gauge overextension. Entry Arrows – A trend shift triggers either a long or short signal, with a marker at the outermost band with ▲/▼ signs. Take-Profit Crosses – If price rejects near the outer band (based on aggressiveness setting), a cross appears marking potential profit-taking. Bounce Signals – Minor pullbacks that respect the basis line are marked with triangle arrows, hinting at continuation setups. Customization – Users can toggle bar coloring, signal markers, and select between ATR/stdev as well as take-profit aggressiveness. Alerts – All major signals, including entries, take-profits, and bounces, are available as alert conditions. USAGE To use this tool, load it on your chart, adjust the inputs for volatility method and aggressiveness, and wait for entries to form on trend changes. Use TP crosses and bounce arrows as potential exit or scale-in signals.
Pine Script® indicator
by AlgoAlpha
8
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities. Theoretical Foundation Momentum Factor Research The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)². The momentum calculation methodology follows the academic standard: Momentum(t) = / P(t-n) × 100 Where P(t) is the current price and n is the lookback period. The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator. Indicator Architecture Core Components 1. Data Collection and Processing The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods). 2. Composite Oscillator Calculation Following Fama-French factor construction methodology, the indicator offers two weighting schemes: - Equal Weight: Each active stock receives identical weighting (1/n) - Market Cap Weight: Reserved for future enhancement 3. Oscillator Transformation Functions The indicator provides five distinct oscillator types, each with established technical analysis foundations: a) Momentum Oscillator (Default) - Pure rate-of-change calculation - Centered around zero - Direct implementation of Jegadeesh & Titman methodology b) RSI (Relative Strength Index) - Wilder's (1978) relative strength methodology - Transformed to center around zero for consistency - Scale: -50 to +50 c) Stochastic Oscillator - George Lane's %K methodology - Measures current position within recent range - Transformed to center around zero d) Williams %R - Larry Williams' range-based oscillator - Inverse stochastic calculation - Adjusted for zero-centered display e) CCI (Commodity Channel Index) - Donald Lambert's mean reversion indicator - Measures deviation from moving average - Scaled for optimal visualization Operational Modes Mode 1: Magnificent 7 Analysis Tracks the collective momentum of the seven constituent stocks. This mode is optimal for: - Technology sector analysis - Growth stock momentum assessment - Large-cap performance tracking Mode 2: S&P 500 Equal Weight Comparison Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides: - Broader market momentum context - Size-neutral market analysis - Comparison baseline for relative performance Mode 3: Relative Performance Analysis Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables: - Sector rotation analysis - Style factor assessment (Growth vs. Value) - Relative strength identification Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum Signal Generation and Thresholds Signal Classification The indicator generates three signal states: - Bullish: Oscillator > Upper Threshold (default: +2.0%) - Bearish: Oscillator < Lower Threshold (default: -2.0%) - Neutral: Oscillator between thresholds Relative Performance Signals In relative performance mode, specialized thresholds apply: - Outperformance: Relative momentum > +1.0% - Underperformance: Relative momentum < -1.0% Alert System Comprehensive alert conditions include: - Threshold crossovers (bullish/bearish signals) - Zero-line crosses (momentum direction changes) - Relative performance shifts - Breadth Analysis Component The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into: - Strong Breadth (>60%): Broad-based momentum - Weak Breadth (<40%): Narrow momentum leadership - Mixed Breadth (40-60%): Neutral momentum distribution Visual Design and User Interface Theme-Adaptive Display The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences. Professional Data Table A comprehensive data table displays: - Current oscillator value and percentage - Active mode and oscillator type - Signal status and strength - Component breakdowns (in relative performance mode) - Breadth percentage - Active threshold levels Custom Color Options Users can override default colors with custom selections for: - Neutral conditions (default: Material Blue) - Bullish signals (default: Material Green) - Bearish signals (default: Material Red) Practical Applications Portfolio Management - Sector Allocation: Use relative performance mode to time technology sector exposure - Risk Management: Monitor breadth deterioration as early warning signal - Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions Market Analysis - Trend Identification: Zero-line crosses indicate momentum regime changes - Divergence Analysis: Compare MAG7 performance against broader market - Volatility Assessment: Oscillator range and frequency provide volatility insights Strategy Development - Factor Timing: Implement growth factor timing strategies - Momentum Strategies: Develop systematic momentum-based approaches - Risk Parity: Use breadth metrics for risk-adjusted portfolio construction Configuration Guidelines Parameter Selection - Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment - Smoothing Period (1-50): Higher values reduce noise but increase lag - Thresholds: Adjust based on historical volatility and strategy requirements Timeframe Considerations - Daily Charts: Optimal for swing trading and medium-term analysis - Weekly Charts: Suitable for long-term trend analysis - Intraday Charts: Useful for short-term tactical decisions Limitations and Considerations Market Concentration Risk The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions. Momentum Persistence While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years). Correlation Dynamics During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity. Performance Metrics and Backtesting The indicator includes hidden plots for comprehensive backtesting: - Individual stock momentum values - Composite breadth percentage - S&P 500 Equal Weight momentum - Relative performance calculations These metrics enable quantitative strategy development and historical performance analysis. References ¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91. Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82. Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22. Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Pine Script® indicator
by EdgeTools
5
SPX Weekly Expected Moves# SPX Weekly Expected Moves Indicator A professional Pine Script indicator for TradingView that displays weekly expected move levels for SPX based on real options data, with integrated Fibonacci retracement analysis and intelligent alerting system. ## Overview This indicator helps options and equity traders visualize weekly expected move ranges for the S&P 500 Index (SPX) by plotting historical and current week expected move boundaries derived from weekly options pricing. Unlike theoretical volatility calculations, this indicator uses actual market-based expected move data that you provide from options platforms. ## Key Features ### 📈 **Expected Move Visualization** - **Historical Lines**: Display past weeks' expected moves with configurable history (10, 26, or 52 weeks) - **Current Week Focus**: Highlighted current week with extended lines to present time - **Friday Close Reference**: Orange baseline showing the previous Friday's close price - **Timeframe Independent**: Works consistently across all chart timeframes (1m to 1D) ### 🎯 **Fibonacci Integration** - **Five Fibonacci Levels**: 23.6%, 38.2%, 50%, 61.8%, 76.4% between Friday close and expected move boundaries - **Color-Coded Levels**: - Red: 23.6% & 76.4% (outer levels) - Blue: 38.2% & 61.8% (golden ratio levels) - Black: 50% (midpoint - most critical level) - **Current Week Only**: Fibonacci levels shown only for active trading week to reduce clutter ### 📊 **Real-Time Information Table** - **Current SPX Price**: Live market price - **Expected Move**: ±EM value for current week - **Previous Close**: Friday close price (baseline for calculations) - **100% EM Levels**: Exact upper and lower boundary prices - **Current Location**: Real-time position within the EM structure (e.g., "Above 38.2% Fib (upper zone)") ### 🚨 **Intelligent Alert System** - **Zone-Aware Alerts**: Separate alerts for upper and lower zones - **Key Level Breaches**: Alerts for 23.6% and 76.4% Fibonacci level crossings - **Bar Close Based**: Alerts trigger on confirmed bar closes, not tick-by-tick - **Customizable**: Enable/disable alerts through settings ## How It Works ### Data Input Method The indicator uses a **manual data entry approach** where you input actual expected move values obtained from options platforms: ```pinescript // Add entries using the options expiration Friday date map.put(expected_moves, 20250613, 91.244) // Week ending June 13, 2025 map.put(expected_moves, 20250620, 95.150) // Week ending June 20, 2025 ``` ### Weekly Structure - **Monday 9:30 AM ET**: Week begins - **Friday 4:00 PM ET**: Week ends - **Lines Extend**: From Monday open to Friday close (historical) or current time + 5 bars (current week) - **Timezone Handling**: Uses "America/New_York" for proper DST handling ### Calculation Logic 1. **Base Price**: Previous Friday's SPX close price 2. **Expected Move**: Market-derived ±EM value from weekly options 3. **Upper Boundary**: Friday Close + Expected Move 4. **Lower Boundary**: Friday Close - Expected Move 5. **Fibonacci Levels**: Proportional levels between Friday close and EM boundaries ## Setup Instructions ### 1. Data Collection Obtain weekly expected move values from options platforms such as: - **ThinkOrSwim**: Use thinkBack feature to look up weekly expected moves - **Tastyworks**: Check weekly options expected move data - **CBOE**: Reference SPX weekly options data - **Manual Calculation**: (ATM Call Premium + ATM Put Premium) × 0.85 ### 2. Data Entry After each Friday close, update the indicator with the next week's expected move: ```pinescript // Example: On Friday June 7, 2025, add data for week ending June 13 map.put(expected_moves, 20250613, 91.244) // Actual EM value from your platform ``` ### 3. Configuration Customize the indicator through the settings panel: #### Visual Settings - **Show Current Week EM**: Toggle current week display - **Show Past Weeks**: Toggle historical weeks display - **Max Weeks History**: Choose 10, 26, or 52 weeks of history - **Show Fibonacci Levels**: Toggle Fibonacci retracement levels - **Label Controls**: Customize which labels to display #### Colors - **Current Week EM**: Default yellow for active week - **Past Weeks EM**: Default gray for historical weeks - **Friday Close**: Default orange for baseline - **Fibonacci Levels**: Customizable colors for each level type #### Alerts - **Enable EM Breach Alerts**: Master toggle for all alerts - **Specific Alerts**: Four alert types for Fibonacci level breaches ## Trading Applications ### Options Trading - **Straddle/Strangle Positioning**: Visualize breakeven levels for neutral strategies - **Directional Plays**: Assess probability of reaching target levels - **Earnings Plays**: Compare actual vs. expected move outcomes ### Equity Trading - **Support/Resistance**: Use EM boundaries and Fibonacci levels as key levels - **Breakout Trading**: Monitor for moves beyond expected ranges - **Mean Reversion**: Look for reversals at extreme Fibonacci levels ### Risk Management - **Position Sizing**: Gauge likely price ranges for the week - **Stop Placement**: Use Fibonacci levels for logical stop locations - **Profit Targets**: Set targets based on EM structure probabilities ## Technical Implementation ### Performance Features - **Memory Managed**: Configurable history limits prevent memory issues - **Timeframe Independent**: Uses timestamp-based calculations for consistency - **Object Management**: Automatic cleanup of drawing objects prevents duplicates - **Error Handling**: Robust bounds checking and NA value handling ### Pine Script Best Practices - **v6 Compliance**: Uses latest Pine Script version features - **User Defined Types**: Structured data management with WeeklyEM type - **Efficient Drawing**: Smart line/label creation and deletion - **Professional Standards**: Clean code organization and comprehensive documentation ## Customization Guide ### Adding New Weeks ```pinescript // Add after market close each Friday map.put(expected_moves, YYYYMMDD, EM_VALUE) ``` ### Color Schemes Customize colors for different trading styles: - **Dark Theme**: Use bright colors for visibility - **Light Theme**: Use contrasting dark colors - **Minimalist**: Use single color with transparency ### Label Management Control label density: - **Show Current Week Labels Only**: Reduce clutter for active trading - **Show All Labels**: Full information for analysis - **Selective Display**: Choose specific label types ## Troubleshooting ### Common Issues 1. **No Lines Appearing**: Check that expected move data is entered for current/recent weeks 2. **Wrong Time Display**: Ensure "America/New_York" timezone is properly handled 3. **Duplicate Lines**: Restart indicator if drawing objects appear duplicated 4. **Missing Fibonacci Levels**: Verify "Show Fibonacci Levels" is enabled ### Data Validation - **Expected Move Format**: Use positive numbers (e.g., 91.244, not ±91.244) - **Date Format**: Use YYYYMMDD format (e.g., 20250613) - **Reasonable Values**: Verify EM values are realistic (typically 50-200 for SPX) ## Version History ### Current Version - **Pine Script v6**: Latest version compatibility - **Fibonacci Integration**: Five-level retracement analysis - **Zone-Aware Alerts**: Upper/lower zone differentiation - **Dynamic Line Management**: Smart current week extension - **Professional UI**: Comprehensive information table ### Future Enhancements - **Multiple Symbols**: Extend beyond SPX to other indices - **Automated Data**: Integration with options data APIs - **Statistical Analysis**: Success rate tracking for EM predictions - **Additional Levels**: Custom percentage levels beyond Fibonacci ## License & Usage This indicator is designed for educational and trading purposes. Users are responsible for: - **Data Accuracy**: Ensuring correct expected move values - **Risk Management**: Proper position sizing and risk controls - **Market Understanding**: Comprehending options-based expected move concepts ## Support For questions, issues, or feature requests related to this indicator, please refer to the code comments and documentation within the Pine Script file. --- **Disclaimer**: This indicator is for informational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
Pine Script® indicator
by MovingIndex
Multi TF Oscillators Screener [TradingFinder] RSI / ATR / Stoch🔵 Introduction The oscillator screener is designed to simplify multi-timeframe analysis by allowing traders and analysts to monitor one or multiple symbols across their preferred timeframes—all at the same time. Users can track a single symbol through various timeframes simultaneously or follow multiple symbols in selected intervals. This flexibility makes the tool highly effective for analyzing diverse markets concurrently. At the core of this screener lie two essential oscillators: RSI (Relative Strength Index) and the Stochastic Oscillator. The RSI measures the speed and magnitude of recent price movements and helps identify overbought or oversold conditions. It's one of the most reliable indicators for spotting potential reversals. The Stochastic Oscillator, on the other hand, compares the current price to recent highs and lows to detect momentum strength and potential trend shifts. It’s especially effective in identifying divergences and short-term reversal signals. In addition to these two primary indicators, the screener also displays helpful supplementary data such as the dominant candlestick type (Bullish, Bearish, or Doji), market volatility indicators like ATR and TR, and the four key OHLC prices (Open, High, Low, Close) for each symbol and timeframe. This combination of data gives users a comprehensive technical view and allows for quick, side-by-side comparison of symbols and timeframes. 🔵 How to Use This tool is built for users who want to view the behavior of a single symbol across several timeframes simultaneously. Instead of jumping between charts, users can quickly grasp the state of a symbol like gold or Bitcoin across the 15-minute, 1-hour, and daily timeframes at a glance. This is particularly useful for traders who rely on multi-timeframe confirmation to strengthen their analysis and decision-making. The tool also supports simultaneous monitoring of multiple symbols. Users can select and track various assets based on the timeframes that matter most to them. For example, if you’re looking for entry opportunities, the screener allows you to compare setups across several markets side by side—making it easier to choose the most favorable trade. Whether you’re a scalper focused on low timeframes or a swing trader using higher ones, the tool adapts to your workflow. The screener utilizes the widely-used RSI indicator, which ranges from 0 to 100 and highlights market exhaustion levels. Readings above 70 typically indicate potential pullbacks, while values below 30 may suggest bullish reversals. Viewing RSI across timeframes can reveal meaningful divergences or alignments that improve signal quality. Another key indicator in the screener is the Stochastic Oscillator, which analyzes the closing price relative to its recent high-low range. When the %K and %D lines converge and cross within the overbought or oversold zones, it often signals a momentum reversal. This oscillator is especially responsive in lower timeframes, making it ideal for spotting quick entries or exits. Beyond these oscillators, the table includes other valuable data such as candlestick type (bullish, bearish, or doji), volatility measures like ATR and TR, and complete OHLC pricing. This layered approach helps users understand both market momentum and structure at a glance. Ultimately, this screener allows analysts and traders to gain a full market overview with just one look—empowering faster, more informed, and lower-risk decision-making. It not only saves time but also enhances the precision and clarity of technical analysis. 🔵 Settings 🟣 Display Settings Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge. Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments. 🟣 Symbol Settings Each of the 10 symbol slots comes with a full set of customizable parameters : Enable Symbol : A checkbox to activate or hide each symbol from the table. Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.). Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D). RSI Length : Defines the period used in RSI calculation (default is 14). Stochastic Length : Sets the period for the Stochastic Oscillator. ATR Length : Sets the length used to calculate the Average True Range, a key volatility metric. 🔵 Conclusion By combining powerful oscillators like RSI and Stochastic with full customization over symbols and timeframes, this tool provides a fast, flexible solution for technical analysts. Users can instantly monitor one or several assets across multiple timeframes without opening separate charts. Individual configuration for each symbol, along with the inclusion of key metrics like candlestick type, ATR/TR, and OHLC prices, makes the tool suitable for a wide range of trading styles—from scalping to swing and position trading. In summary, this screener enables traders to gain a clear, high-level view of various markets in seconds and make quicker, smarter, and lower-risk decisions. It saves time, streamlines analysis, and boosts overall efficiency and confidence in trading strategies.
Pine Script® indicator
by TFlab
3