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Support_and_resistance

Gold TBS Support/Resistance Zones🔶 Gold TBS Support & Resistance Zones Gold TBS Support & Resistance Zones is a manual price-zone based indicator designed to help traders clearly identify high-probability support and resistance areas on the chart. It is especially optimized for Gold (XAUUSD) and performs best on the 15-minute timeframe. This tool focuses on clarity, structure, and discipline, allowing traders to align entries, exits, and risk management around well-defined price zones. 📌 Key Features ✅ Up to 30 customizable support & resistance zones ✅ Zones automatically extend across the chart for long-term reference ✅ Dynamic color response based on current price location ✅ Clean and minimal visual design ✅ Works smoothly without repainting ✅ Fully manual control over zone levels ⏱ Best Timeframe Recommended: 15-Minute (M15) Can also be used on 3m / 5m for entries after bias confirmation from 15m Higher timeframes can be used for positional reference 🟩🟥 How Zones Work Green shading → Price is trading above the zone (potential support) Red shading → Price is trading below the zone (potential resistance) Neutral when price is inside the zone These zones act as: Reaction areas Entry confirmation zones Target and stop-loss reference points 🛠 How to Use (Simple Workflow) Mark Key Levels Update zone High & Low values using the input panel Use important swing highs/lows, weekly levels, or session ranges Directional Bias Trade buy setups near support zones Trade sell setups near resistance zones Avoid trades in the middle of zones Entry Confirmation Use your preferred entry confirmation: Candle close Price rejection Nagarjuna indicator Risk Management Place stop-loss beyond the zone Targets can be next zone above or below ⚙️ Inputs & Customization 🔹 Enable / disable individual zones 🔹 Update zone prices manually anytime 🔹 Show or hide all zones instantly 🔹 Control border visibility and transparency 🔹 Separate fill transparency for support and resistance This makes the indicator future-proof, as levels can be updated whenever market structure changes. 🎯 Best Use Case Intraday trading on Gold Structure-based trading Traders who prefer clear levels over lagging indicators Works well with trend-following or pullback strategies ⚠️ Important Notes This indicator does not give buy/sell signals It is designed to support decision-making, not replace strategy Always combine with proper risk management 🧠 Trading Philosophy “Price respects structure. Discipline comes from knowing where not to trade.”
Индикатор Pine Script®
от Nagarjunabk
Previous Periods Highs and Lows + LabelsThis indicator plots the high and low prices from the previous Day, Week, and Month as horizontal lines on any timeframe chart. It provides clear visual reference to key historical support and resistance levels commonly used by traders for: breakout and reversal identification stop-loss placement target setting Features include distinct colors for each period and optional price labels displayed on the right side of the chart for quick reference.Simple, non-repainting, and optimized for both intraday and swing trading setups.
Индикатор Pine Script®
от Cag100
2
ORB (x2) by jaXn# ORB (x2) Professional Suite ## 🚀 Unleash the Power of Precision Range Trading **ORB (x2)** isn't just another breakout indicator—it is a complete **Opening Range Breakout workspace** designed for professional traders who demand flexibility, precision, and chart cleanliness. Whether you are trading Indices, Forex, or Commodities, the Opening Range is often the most critical level of the day. This suite allows you to master these levels by tracking **two independent ranges** simultaneously, giving you a distinctive edge. ## 🔥 Why choose ORB (x2)? Most indicators force you to choose one specific time. **ORB (x2)** breaks these limits. ### 🌎 1. Multi-Session Mastery (London & New York) Trade the world's biggest liquidity pools. Set **ORB 1** for the **London Open** (e.g., 03:00–03:05 EST) and **ORB 2** for the **New York Open** (09:30–09:35 EST). Watch how price reacts to London levels later in the New York session. ### ⏱️ 2. Multi-Strategy Stacking (The "Fractal" Approach) This is a game-changer for intraday setups. Instead of two different times, track **two different durations** for the *same* open. * **Setup:** Configure **ORB 1** as the classic **5-minute range** (09:30–09:35). * **Setup:** Configure **ORB 2** as the statistically significant **15-minute or 30-minute range** (09:30–10:00). * **Result:** You now see immediate scalping levels *and* major trend reversals levels on the same chart, automatically. ### 🎯 3. "Plot Until" Tech: Keep Your Chart Clean Sick of lines extending infinitely into the void? Our exclusive **"Plot Until"** feature separates the signal from the noise. You define exactly when the trade idea invalidates. * *Example:* Plot the 09:30 levels only until 12:00 (Lunch). * The script intelligently cuts the lines off at your exact minute, ensuring your chart is ready for the afternoon session without morning clutter. ### ⚡ Precision Engine We use a dedicated "Precision Timeframe" input. Even if you are viewing a 1-hour or 4-hour chart to see the big picture, ORB (x2) can fetch data from the **1-minute** timeframe to calculate the *exact* high and low of the opening range. No more "repainting" or guessing where the wick was. ## 🛠 Feature Breakdown * **Dual Independent Engines:** Fully separate Color, Style, Time, and Cutoff settings for both ORB 1 and ORB 2. * **Absolute Time Cutoff:** Lines obey day boundaries perfectly. A cutoff at 16:00 means 16:00, not "whenever the next bar closes". * **Style Control:** Visually distinguish between your "Scalp" ORB (e.g., Dotted Lines) and your "Trend" ORB (e.g., Solid Thick Lines). * **Performance Mode:** Adjustable "Lookback Days" limits history to keep your chart lightning fast. ## 💡 Configuration Examples **The "Double Barrel" (Standard Stock + Futures)** * *ORB 1:* `0930-0935` (5 min) - The immediate reaction. * *ORB 2:* `0930-1000` (30 min) - The institutional trend setter. **The "Transatlantic" (Forex/Indices)** * *ORB 1:* `0800-0805` (London Open) - European liquidity. * *ORB 2:* `1330-1335` (NY Open) - US liquidity injection. ## ⚠️ Disclaimer Trading involves substantial risk. This tool helps visualize critical price levels but does not guarantee profits. Always combine with proper risk management and your own analysis.
Индикатор Pine Script®
от jacksenn
Support and Resistance Breakout Signals [MarkitTick]💡 This indicator provides a comprehensive, automated system for identifying, tracking, and trading Support and Resistance (S/R) breakouts. By synthesizing classic Swing High and Swing Low pivot analysis with Multi-Timeframe (HTF) capabilities and Volume confirmation, it transforms raw price action into actionable structural data. It is designed to declutter charts by automatically managing active levels and highlighting significant market structure shifts (Higher Highs, Lower Lows) alongside verified breakout signals. ✨ Originality and Utility While many indicators draw static pivot points, this tool distinguishes itself through "State Management." It treats Support and Resistance not just as historical markers, but as active zones that evolve. Dynamic Level Management: Instead of flooding the chart with infinite lines, the script uses arrays to store a specific number of recent levels. As price action progresses, invalid or broken levels are removed or updated, keeping the analysis focused on current relevance. Multi-Timeframe Confluence: Uniquely, it allows you to overlay higher timeframe support and resistance levels (e.g., Daily levels on a 4-hours chart) without changing your chart view, enabling top-down analysis instantly. Market Structure Labeling: It automatically tags pivot points with Dow Theory labels (HH, LH, LL, HL), aiding traders in instantly recognizing trend direction without manual charting. 🔬 Methodology and Concepts The script operates on three core technical pillars: ● Swing Pivot Detection The foundation is the detection of local extrema using a "Left/Right" bar lookback mechanism. A Swing High is identified when a high is greater than the L bars preceding it and the R bars following it. This confirms a fractal peak or valley. Note on Confirmation: Because the script waits for R bars to close to confirm a pivot, the lines appear retroactively. However, the extension of these lines and subsequent breakout signals occur in real-time. ● Breakout Logic with Volume Integration A breakout is triggered when the Close price crosses an active S/R line. Resistance Break: Current Close > Resistance Level (and Previous Close ≤ Level). Support Break: Current Close < Support Level (and Previous Close ≥ Level). Volume Confirmation: An optional filter requires the breakout bar's volume to exceed a Moving Average of volume, ensuring momentum backs the move. ● Time Decay To mimic the reduced relevance of stale levels, the script includes a "Time Decay" feature. If a level is not interacted with for a user-defined number of bars, it is automatically purged from the system, ensuring the chart reflects only fresh interest levels. 🎨 Visual Guide The indicator uses a specific color-coding and labeling system to convey information quickly: ● Support & Resistance Lines Red Lines (Thin): Represent active Resistance levels on the current timeframe. Green Lines (Thin): Represent active Support levels on the current timeframe. Fuchsia Lines (Thick): Represent Higher Timeframe (HTF) Resistance levels. Aqua Lines (Thick): Represent Higher Timeframe (HTF) Support levels. ● Market Structure Labels Located at the pivot points, these text labels define the trend structure: HH / LH: Higher High / Lower High (Red Text). LL / HL: Lower Low / Higher Low (Green/Aqua Text). HTF-R / HTF-S: Indicates major structural pivots from the higher timeframe. ● Breakout Signals When a valid break occurs, a label appears above or below the bar: Blue Triangle Up (▲): Bullish breakout through resistance. Blue Triangle Down (▼): Bearish breakout through support. Number in Label: Indicates the cumulative count of breaks for that specific trend sequence (e.g., "1" is the first break, "2" is the second). The breakout count represents the intensity of the move. A reading greater than 1 signals exceptional market strength, indicating the penetration of multiple Key Levels (Support or Resistance) within a single candle. 📖 How to Use Trend Continuation: In an uptrend (sequence of HH/HL), wait for a Blue Triangle Up (▲) occurring at a Red Resistance line. This signals the continuation of the trend. Trend Reversal: Watch for a "Structure Break." If price is making Higher Highs, but then breaks a Green Support line (generating a ▼ signal) and forms a Lower Low (LL), the trend may be reversing. HTF "Bounce" Plays: Use the thick Fuchsia/Aqua lines as major zones. If price approaches a thick Aqua line (HTF Support) and fails to break it, look for LTF bullish structure (HH/HL) to form for an entry. Volume Filtering: Enable the "Volume Confirmation" setting to filter out "fakeouts" (breaks on low volume). ⚙️ Inputs and Settings ● Swing Settings Left/Right Bars: Determines the sensitivity of the pivot detection. Higher numbers = fewer, more significant pivots. Max Stored Levels: How many S/R lines to keep in memory at once. Max Break Labels: Limits visual clutter by capping the number of signal labels. ● Usability & HTF Enable Time Decay: If true, deletes lines that are older than "Decay Period" bars. Enable HTF Levels: Toggles the display of higher timeframe pivots. HTF Timeframe: Select the specific timeframe for the macro view (e.g., "D" for Daily). ● Analysis Volume Confirmation: Toggles the requirement for volume to be above its average for a signal to fire. Show Market Structure: Toggles the HH/LL text labels. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The script's logic is rooted in Fractal Geometry and Auction Market Theory . ● Mandelbrot's Fractals: The use of `leftBars` and `rightBars` is a direct application of identifying market fractals. Markets are self-similar across timeframes; a pivot on a 5-minute chart is structurally identical to one on a Weekly chart. This script exploits this property by allowing nested timeframe analysis (LTF inside HTF). ● Memory of Price (Behavioral Finance): Support and resistance lines represent zones where market participants have previously established value (Price Memory). The "Breakout" signal is mathematically significant because it represents a shift in the supply/demand equilibrium. When price closes beyond a stored array value (the pivot price), it signifies that the aggressive limit orders that created the pivot have been exhausted or withdrawn, validating a new search for value. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Индикатор Pine Script®
от MarkitTick
15
Open Interest Weighted Average Price [Arjo]Open Interest Weighted Average Price , or OIWAP , is a simple visual indicator that shows the average price of an asset based on changes in open interest . Instead of using trading volume like VWAP, this indicator gives more weight to prices where new futures contracts are being added or removed . This helps highlight the price levels where traders are actively building or closing positions. The indicator shows: A main line that represents the average price weighted by open interest changes. Upper and lower bands (standard deviation bands) that show how far the price moves away from this average. OIWAP is mainly useful for NSE futures markets , where open interest data is available. It helps traders visually understand where most market participation and positioning are taking place relative to price . Concepts: Applies statistical concepts, including weighted averaging and standard deviation, to open interest data Uses the absolute change in open interest as a weighting factor for each price point Creates a dynamic average that reflects where significant open interest activity has occurred during a given period Standard deviation bands are computed from this weighted average to show the statistical spread of prices around the OIWAP line Resets calculations based on user-selected time periods (daily, weekly, monthly, or session-based) Allows for fresh analysis at regular intervals Similar concept to volume-weighted average price (VWAP) indicators, but uses open interest changes as the weighting component Features: Weighted Average: Calculates a central line based on contract activity. Flexible Anchors: Allows users to choose the reset period for the calculation. Volatility Bands: Displays outer and mid-bands to visualize price stretches. Data Check: Built-in alerts notify you if Open Interest data is missing for a symbol. Visual Zones: Color-coded areas help identify price location at a glance. How To Use When you add the indicator to your chart, you will see: A main OIWAP line — the open-interest-weighted price level Mid-bands around the line (±0.5 standard deviations) Outer bands farther away (±2.0 standard deviations) Shaded background zones between these lines You can: Change the reset period to see how the average behaves over different time ranges Adjust the timeframe for open-interest data Turn mid-bands on or off Adjust colors and styles to improve readability Conclusion The OIWAP indicator serves as an educational tool for visualizing the relationship between price movements and open interest activity in futures markets Presents a weighted average price line along with statistical deviation bands Offers a structured framework for chart analysis Customizable settings allow users to adapt the display to their analytical preferences Maintains focus on visual interpretation rather than directional predictions Functions as a supplementary charting overlay that may complement other forms of technical and fundamental analysis Disclaimer This indicator is for educational and visual-analysis purposes only. It does not provide trading signals, financial advice, or guaranteed outcomes . You should perform your own research and consult a licensed financial professional when needed. All trading decisions are solely the responsibility of the user.
Индикатор Pine Script®
от ARJO_2019
The Abramelin Protocol [MPL]"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke 🌑 SYSTEM OVERVIEW The Abramelin Protocol is not a standard technical indicator; it is a "Technomantic" trading algorithm engineered to bridge the gap between 15th-century esoteric mathematics and modern high-frequency markets. This script is the flagship implementation of the MPL (Magic Programming Language) project—an open-source experimental framework designed to compile metaphysical intent into executable Python and Pine Script algorithms. Unlike traditional indicators that rely on arbitrary constants (like the 14-period RSI or 200 SMA), this protocol calculates its parameters using "Dynamic Entity Gematria." We utilize a custom Python backend to analyze the ASCII vibrational frequencies of specific metaphysical archetypes, reducing them via Tesla's 3-6-9 harmonic principles to derive market-responsive periods. 🧬 WHAT IS ? MPL (Magic Programming Language) is a domain-specific language and research initiative created to explore Technomancy—the art of treating code as a spellbook and the market as a chaotic entity to be tamed. By integrating the logic of ancient Grimoires (such as The Book of Abramelin) with modern Data Science, MPL aims to discover hidden correlations in price action that standard tools overlook. 🔗 CONNECT WITH THE PROJECT: If you are a developer, a trader, or a seeker of hidden knowledge, examine the source code and join the order: • 📂 Official Project Site: hakanovski.github.io • 🐍 MPL Source Code (GitHub): github.com • 👨‍💻 Developer Profile (LinkedIn): www.linkedin.com 🔢 THE ALGORITHM: 452 - 204 - 50 The inputs for this script are mathematically derived signatures of the intelligence governing the system: 1. THE PAIMON TREND (Gravity) • Origin: Derived from the ASCII summation of the archetype PAIMON (King of Secret Knowledge). • Function: This 452-period Baseline acts as the market's "Event Horizon." It represents the deep, structural direction of the asset. • Price > Line: Bullish Domain. • Price < Line: Bearish Void. 2. THE ASTAROTH SIGNAL (Trigger) • Origin: Derived from the ASCII summation of ASTAROTH (Knower of Past & Future), reduced by Tesla’s 3rd Harmonic. • Function: This is the active trigger line. It replaces standard moving averages with a precise, gematria-aligned trajectory. 3. THE VOLATILITY MATRIX (Scalp) • Origin: Based on the 9th Harmonic reduction. • Function: Creates a "Cloud" around the signal line to visualize market noise. 🛡️ THE MILON GATE (Matrix Filter) Unique to this script is the "MILON Gate" toggle found in the settings. • ☑️ Active (Default): The algorithm applies the logic of the MILON Magic Square. Signals are ONLY generated if Volume and Volatility align with the geometric structure of the move. This filters out ~80% of false signals (noise). • ⬜ Inactive: The algorithm operates in "Raw Mode," showing every mathematical crossover without the volume filter. ⚠️ OPERATIONAL USAGE • Timeframe: Optimized for 4H (The Builder) and Daily (The Architect) charts. • Strategy: Use the Black/Grey Line (452) as your directional bias. Take entries only when the "EXECUTE" (Long) or "PURGE" (Short) sigils appear. Use this tool wisely. Risk responsibly. Let the harmonics guide your entries. — Hakan Yorganci Technomancer & Full Stack Developer
Индикатор Pine Script®
от hknyrgnc
Twisted Forex's Doji + Area StrategyTitle Twisted Forex’s Doji + Area Strategy Description What this strategy does This strategy looks for doji candles forming inside or near supply/demand areas . Areas are built from swing pivots and sized with ATR, then tracked for retests (“confirmations”). When a doji prints close to an area and quality checks pass, the strategy places a trade with the stop beyond the doji and a configurable R:R target. How areas (zones) are built • Swings are detected with a user-set pivot length. • Each swing spawns a horizontal area centered at the pivot price with half-height = zoneHalfATR × ATR . • Duplicates are de-duplicated by center distance (ATR-scaled). • Areas fade when broken beyond a buffer or after an optional age (expiry). • Retests are recorded when price touches and then bounces away from the area; repeated reactions increase the zone’s “strength”. Signal logic (summary) Doji detection: strict or loose body criteria with optional minimum wick fractions and ATR-scaled minimum range. Proximity: price must be inside/near a supply or demand area (proxATR × ATR). Side resolution: overlap is resolved by (a) which side price penetrates more, (b) fast/slow EMA trend, or (c) nearest distance. Optional “previous candle flip” can bias long after a bearish candle and short after a bullish one. Optional 1-bar confirmation: the bar after the doji must close away from the area by confirmATR × ATR . Quality filter (Off/Soft/Strict): four checks—(i) wick rejection past the edge, (ii) doji closes in an edge “band” of the area, (iii) fresh touch (cooldown), (iv) approach impulse over a short lookback. In Strict , thresholds auto-tighten. Orders & exits • Long: stop below doji low minus buffer; Short: above doji high plus buffer. • Target = rrMultiple × risk distance . • Pyramiding is off by default. Position sizing You can size from the script or from Strategy Properties: • Script-driven (default): set Position sizing = “Risk % of equity” and choose riskPercent (e.g., 1.0%). The script applies safe floors/rounding (FX micro-lots by default) so quantity never rounds to zero. • Properties-driven : toggle Use TV Properties → Order size ON, then pick “Percent of equity” in Properties (e.g., 1%). The header includes safe defaults so trades still place. Key inputs to explore • Zone building : pivotLen, zoneHalfATR, minDepartureATR, expiryBars, breakATR, leftBars, dedupeATR. • Doji & proximity : strictDoji, dojiBodyFrac, minWickFrac, minRangeATR, proxATR, minBarsBetween. • Overlap resolution : usePenetration, useTrend (EMA 21/55), “previous candle flip”, needNextBarConf & confirmATR. • Quality : qualityMode (Off/Soft/Strict), minQualPass/kStrict, wickPenATR, edgeBandFrac, approachLookback, approachMinATR, freshTouchBars. • Zone strength gating : minStrengthSoft / minStrengthStrict. • HTF confluence (optional) : useHTFTrend (HTF EMA 34/89) and/or useHTFZoneProx (HTF swing bands). Tips to make it cleaner / higher quality • Turn needNextBarConf ON and use confirmATR = 0.10–0.15 . • Increase approachMinATR (e.g., 0.35–0.45) to require a stronger pre-touch impulse. • Raise minStrengthSoft/Strict (e.g., 4–6) so only well-reacted zones can signal. • Use signalsOnlyConfirmed ON if you prefer trades only from zones with retests (the script falls back gracefully when none exist yet). • Nudge proxATR to 0.5–0.6 to demand tighter proximity to the level. • Optional: enable useHTFTrend to filter counter-trend setups. Default settings used in this publication • Initial capital: 100,000 (illustrative). • Slippage: 1 tick; Commission: 0% (you can raise commission if you prefer—spread is partly modeled by slippage). • Sizing: Risk % of equity via inputs; riskPercent = 1.0% ; FX uses micro-lot floors by default. • Quality: Off by default (Soft/Strict available). • HTF trend gate: Off by default. Backtesting notes For a meaningful sample size, test on liquid symbols/timeframes that yield 100+ trades (e.g., majors on 5–15m over 1–2 years). Backtests are modelled and broker costs/spread vary—validate on your feed and forward-test. How to read the chart Shaded bands are supply (above) and demand (below). Brighter bands are the nearest K per side (visual aid). BUY/SELL labels mark entries; colored dots show entry/SL/TP levels. You can hide zones or unconfirmed zones for a cleaner view. Disclaimer This is educational material, not financial advice. Trading involves risk. Always test and size responsibly.
Стратегия Pine Script®
от Twisted_Forex
Smart Money Support/Resistance - LiteSmart Money Support/Resistance — Lite Overview & Methodology This indicator identifies support and resistance as zones derived from concentrated buying and selling pressure, rather than relying solely on traditional swing highs/lows. Its design focuses on transparency: how data is sourced, how zones are computed, and how the on‑chart display should be interpreted. Lower‑Timeframe (LTF) Data The script requests Up Volume, Down Volume, and Volume Delta from a lower timeframe to expose intrabar order‑flow structure that the chart’s native timeframe cannot show. In practical terms, this lets you see where buyers or sellers briefly dominated inside the body of a higher‑timeframe bar. bool use_custom_tf_input = input.bool(true, title="Use custom lower timeframe", tooltip="Override the automatically chosen lower timeframe for volume calculations.", group=grpVolume) string custom_tf_input = input. Timeframe("1", title="Lower timeframe", tooltip="Lower timeframe used for up/down volume calculations (default 5 seconds).", group=grpVolume) import TradingView/ta/10 as tvta resolve_lower_tf(useCustom, customTF) => useCustom ? customTF : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" get_up_down_volume(lowerTf) => = tvta.requestUpAndDownVolume(lowerTf) var float upVolume = na var float downVolume = na var float deltaVolume = na string lower_tf = resolve_lower_tf(use_custom_tf_input, custom_tf_input) = get_up_down_volume(lower_tf) upVolume := u_tmp downVolume := d_tmp deltaVolume := dl_tmp • Data source: TradingView’s ta.requestUpAndDownVolume(lowerTf) via the official TA library. • Plan capabilities: higher‑tier subscriptions unlock seconds‑based charts and allow more historical bars per chart. This expands both the temporal depth of LTF data and the precision of short‑horizon analysis, while base tiers provide minute‑level data suitable for day/short‑swing studies. • Coverage clarity: a small on‑chart Coverage Panel reports the active lower timeframe, the number of bars covered, and the latest computed support/resistance ranges so you always know the bounds of valid LTF input. Core Method 1) Data acquisition (LTF) The script retrieves three series from the chosen lower timeframe: – Up Volume (buyers) – Down Volume (sellers) – Delta (Up – Down) 2) Rolling window & extrema Over a user‑defined lookback (Global Volume Period), the algorithm builds rolling arrays of completed bars and scans for extrema: – Buyers_max / Buyers_min from Up Volume – Sellers_max / Sellers_min from Down Volume Only completed bars are considered; the current bar is excluded for stability. 3) Price mapping The extrema are mapped back to their source candles to obtain price bounds: – For “maximum” roles the algorithm uses the relevant candle highs. – For “minimum” roles it uses the relevant candle lows. These pairs define candidate resistance (max‑based) and support (min‑based) zones or vice versa. 4) Zone construction & minimum width To ensure practicality on all symbols, zones enforce a minimum vertical thickness of two ticks. This prevents visually invisible or overly thin ranges on instruments with tight ticks. 5) Vertical role resolution When both max‑ and min‑based zones exist, the script compares their midpoints. If, due to local price structure, the min‑based zone sits above the max‑based zone, display roles are swapped so the higher zone is labeled Resistance and the lower zone Support. Colors/widths are updated accordingly to keep the visual legend consistent. 6) Rendering & panel Two horizontal lines and a filled box represent each active zone. The Coverage Panel (bottom‑right by default) prints: – Lower‑timeframe in use – Number of bars covered by LTF data – Current Support and Resistance ranges If the two zones overlap, an additional “Range Market” note is shown. Key Inputs • Global Volume Period: shared lookback window for the extrema search. • Lower timeframe: user‑selectable override of the automatically resolved lower timeframe. • Visualization toggles: independent show/hide controls and colors for maximum (resistance) and minimum (support) zones. • Coverage Panel: enable/disable the single‑cell table and its readout. Operational Notes • The algorithm aligns all lookups to completed bars (no peeking). Price references are shifted appropriately to avoid using the still‑forming bar in calculations. • Second‑based lower timeframes improve granularity for scalping and very short‑term entries. Minute‑based lower timeframes provide broader coverage for intraday and short‑swing contexts. • Use the Coverage Panel to confirm the true extent of available LTF history on your symbol/plan before drawing conclusions from very deep lookbacks. Visual Walkthrough A step‑by‑step image sequence accompanies this description. Each figure demonstrates how the indicator reads LTF volume, locates extrema, builds price‑mapped zones, and updates labels/colors when vertical order requires it. Chart Interpretation This chart illustrates two distinct perspectives of the Smart Money Support/Resistance — Lite indicator, each derived from different lookback horizons and lower-timeframe (LTF) resolutions. 1- Short-term view (43 bars, 10-second LTF) Using the most recent 43 completed bars with 10-second intrabar data, the algorithm detects that both maximum and minimum volume extrema fall within a narrow range. The result is a clearly identified range market: resistance between 178.15–184.55 and support between 175.02–179.38. The Coverage Panel (bottom-right) confirms the scope of valid input: the lower timeframe used, number of bars covered, and the resulting zones. This short-term scan highlights how the indicator adapts to limited data depth, flagging sideways structure where neither side dominates. 2 - Long-term view (120 bars, 30-second LTF) Over a wider 120-bar lookback with higher-granularity 30-second data, broader supply and demand zones emerge. – The long-term resistance zone captures the concentration of buyers and sellers at the upper boundary of recent price history. – The long-term support zone anchors to the opposite side of the distribution, derived from maxima and minima of both buying and selling pressure. These zones reflect deeper structural levels where market participants previously committed significant volume. Combined Perspective By aligning the short-term and long-term outputs, the chart shows how the indicator distinguishes immediate consolidation (range market) from more durable support and resistance levels derived from extended history. This dual resolution approach makes clear that support and resistance are not static lines but dynamic zones, dependent on both timeframe depth and the resolution of intrabar volume data.
Индикатор Pine Script®
от ata_sabanci
2
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action 1. Introduction 1.1 Overview ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active. The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured: import TradingView/ta/10 as tvta // Determine lower timeframe string based on user choice and chart resolution string lower_tf_breakout = use_custom_tf_input ? custom_tf_input : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" // Request up/down volume (both positive) = tvta.requestUpAndDownVolume(lower_tf_breakout) Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity. Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate. Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history. Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”) 2. Price‑Structure Backbone Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations. 2.1 What it draws • Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded. • Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly. • Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels. • Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick. 2.2 Key settings • length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels. • pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings. • point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded. • label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price. • Styling inputs for trend lines, horizontal lines and labels (color, width and line style). Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots. These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle. The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable. 3. Breakout Module 3.1 Concept This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled. 3.2 Inputs • lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly. • vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout. • rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution. • ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases). • use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe. • Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width. 3.3 Detection logic 1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume. 2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window. 3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive. 4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history. 5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1). 6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector. Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move. Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold. 4. Market Phase Module (Volume Only) 4.1 Concept Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table. 4.2 Inputs • phase_period_len: Number of bars over which to compute sums and ratios for phase detection. • phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume. • strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation). • Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles. • show_phase_module: Toggles the entire phase detection subsystem. • show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected. 4.3 Detection logic The module computes three families of statistics over the volume window defined by phase_period_len: 1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends. 2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction. 3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues. The algorithm then combines these signals: • For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case. • For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category. If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” . 4.4 Outputs • Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral). • On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences. Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began. Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window. 5. OB/OS Spike Module 5.1 What overbought/oversold means here In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate. 5.2 Inputs • minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print. • syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals. • Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike. • Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable. • Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width. 5.3 Detection logic 1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos. 2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS. 3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold). 4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought. 5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line. Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels. Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow. 6. Buyer/Seller Trap Module 6.1 Concept A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps. 6.2 Inputs • trap_lookback_len: Window length used to rank extremes and detect sweeps. • trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep. • trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.) • trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed. • Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps. • Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart. 6.3 Scoring logic The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped): 1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick. 2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick. 3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand. 4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa. 5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average. The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars. Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label. Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range. 7. Sharp Move Module 7.1 Concept Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation. 7.2 Inputs • sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels. • sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window. • sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax. • sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks. • sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range). • sharpScoreRisk: Minimum number of conditions that must be true to print a risk label. • sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation. • sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution). • Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves. • Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn. 7.3 Conditions (six per side) For each side, the indicator computes six boolean conditions and sums them to form a score: 1. Dominance (instant and cumulative): – Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume. – Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks). 2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish). 3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window. 4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range). 5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile. 6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed. Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores. 7.4 Scoring and labels • Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar. • Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1). • Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled. Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move. Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window. 8. Market‑Maker / Spread‑Capture Module 8.1 Concept Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets. 8.2 Inputs • scalpLookback: Window length used to compute volume averages. • scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple. • scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement. • scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%. • Label settings: ATR length, multiplier, size, colors, connector style and width. • Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels. 8.3 Signal When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled. Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window. 9. Money Flow Module 9.1 Concept To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow. 9.2 Inputs • mf_period_len_mf: Number of bars used for summing buy and sell dollars. • Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width. • Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed. 9.3 Calculations • Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $. • Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum(). • Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate. • Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences. Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context. In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period. 10. Info Table 10.1 Purpose When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active. 10.2 Symbols • ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money. • MA — Moving average. In the table it shows the average value of a series over the lookback period. • Σ (Sigma) — Cumulative sum over the chosen lookback period. • Δ (Delta) — Difference between buy and sell values. • B / S — Buyer and seller share of total volume, expressed as percentages. • Ref. Price — Reference price for breakout calculations, based on the latest pivot. • Status — Indicates whether a breakout condition is currently active (True) or has failed. 10.3 Row definitions 1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period. 2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity. 3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period. 4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume. 5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period. 6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume. 7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more. 8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed. 9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral. 10. Money Flow – The final rows display dollar amounts and status: – ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period. – ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum. – Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively. – Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral. – Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral. The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out). 11. Conclusion & Final Remarks This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart. A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window. Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
Индикатор Pine Script®
от ata_sabanci
30
Gold DynamicThis is a custom-made TradingView indicator designed to visualize "sequential price levels" based on a user-defined step value, dynamically centered around the current gold price. It draws horizontal lines at multiples of a chosen step value (e.g., 7) both above and below the current price. Key Features: Dynamic Price Levels: Lines are calculated relative to the live price, providing relevant support/resistance or structural levels for the current market context. Customizable Step Value: Easily adjust the Sequence Step Value (e.g., 7, 10, 14) from the indicator settings to align with your trading theory. Adjustable Line Count: Control the Number of Lines ABOVE Current Price and Number of Lines BELOW Current Price to show as many or as few levels as desired. Extended Lines: Horizontal lines extend indefinitely to both the left (historical data) and right (future projection) for comprehensive visualization. Clear Price Labels: Each line displays its exact price value, positioned at the far right of the chart for quick reference. Customizable Appearance: Modify line color, width, and style (solid, dotted, dashed) to suit your charting preferences. Exact Values: All displayed price labels are rounded to whole numbers for clear, precise visualization without decimal values. This indicator is ideal for traders looking to apply a fixed-step price theory to their gold analysis.
Индикатор Pine Script®
от pipsmix0
Support and Resistance Logistic Regression | Flux Charts💎 GENERAL OVERVIEW Introducing our new Logistic Regression Support / Resistance indicator! This tool leverages advanced statistical modeling "Logistic Regressions" to identify and project key price levels where the market is likely to find support or resistance. For more information about the process, please check the "HOW DOES IT WORK ?" section. Logistic Regression Support / Resistance Features : Intelligent S/R Identification : The indicator uses a logistic regression model to intelligently identify and plot significant support and resistance levels. Predictive Probability : Each identified level comes with a calculated probability, indicating how likely it is to act as a true support or resistance based on historical data. Retest & Break Labels : The indicator clearly marks on your chart when a detected support or resistance level is retested (price touches and respects the level) or broken (price decisively crosses through the level). Alerts : Real-time alerts for support retests, resistance retests, support breaks, and resistance breaks. Customizable : You can change support & resistance line style, width and colors. 🚩 UNIQUENESS What makes this indicator truly unique is its application of logistic regression to the concept of support and resistance. Instead of merely identifying historical highs and lows, our indicator uses a statistical model to predict the future efficacy of these levels. It analyzes underlying market conditions (like RSI and body size at pivot formation) to assign a probability to each potential S/R zone. This predictive insight, combined with dynamic, real-time labeling of retests and breaks, provides a more robust and adaptive understanding of market structure than traditional, purely historical methods. 📌HOW DOES IT WORK ? The Logistic Regression Support / Resistance indicator operates in several key steps: First, it identifies significant pivot highs and lows on the chart based on a user-defined "Pivot Length." These pivots are potential areas of support or resistance. For each detected pivot, the indicator extracts relevant market data at that specific point, including the RSI (Relative Strength Index) and the Body Size (the absolute difference between the open and close price of the candle). These serve as input features for the model. The core of the indicator lies in its logistic regression model. This model is continuously trained on past pivot data and their subsequent behavior (i.e., whether they were "respected" as support/resistance multiple times). It learns the relationship between the extracted features (RSI, Body Size) and the likelihood of a pivot becoming a significant S/R level. When a new pivot is identified, the model uses its learned insights to calculate a prediction value—a probability (from 0 to 1) that this specific pivot will act as a strong support or resistance. If the calculated probability exceeds a user-defined "Probability Threshold," the pivot is designated a "Regression Pivot" and drawn on the chart as a support or resistance line. The indicator then actively tracks how price interacts with these levels, displaying "R" labels for retests when the price bounces off the level and "B" labels for breaks when the price closes beyond it. ⚙️ SETTINGS 1. General Configuration Pivot Length: This setting defines the number of bars used to determine a significant high or low for pivot detection. Target Respects: This input specifies how many times a level must be "respected" by price action for it to be considered a strong support or resistance level by the underlying model. Probability Threshold: This is the minimum probability output from the logistic regression model for a detected pivot to be considered a valid support or resistance level and be plotted on the chart. 2. Style Show Prediction Labels: Enable or disable labels that display the calculated probability of a newly identified regression S/R level. Show Retests: Toggle the visibility of "R" labels on the chart, which mark instances where price has retested a support or resistance level. Show Breaks: Toggle the visibility of "B" labels on the chart, which mark instances where price has broken through a support or resistance level.
Индикатор Pine Script®
от fluxchart
23
ZigZag█ Overview This Pine Script™ library provides a comprehensive implementation of the ZigZag indicator using advanced object-oriented programming techniques. It serves as a developer resource rather than a standalone indicator, enabling Pine Script™ programmers to incorporate sophisticated ZigZag calculations into their own scripts. Pine Script™ libraries contain reusable code that can be imported into indicators, strategies, and other libraries. For more information, consult the Libraries section of the Pine Script™ User Manual. █ About the Original This library is based on TradingView's official ZigZag implementation . The original code provides a solid foundation with user-defined types and methods for calculating ZigZag pivot points. █ What is ZigZag? The ZigZag indicator filters out minor price movements to highlight significant market trends. It works by: 1. Identifying significant pivot points (local highs and lows) 2. Connecting these points with straight lines 3. Ignoring smaller price movements that fall below a specified threshold Traders typically use ZigZag for: - Trend confirmation - Identifying support and resistance levels - Pattern recognition (such as Elliott Waves) - Filtering out market noise The algorithm identifies pivot points by analyzing price action over a specified number of bars, then only changes direction when price movement exceeds a user-defined percentage threshold. █ My Enhancements This modified version extends the original library with several key improvements: 1. Support and Resistance Visualization - Adds horizontal lines at pivot points - Customizable line length (offset from pivot) - Adjustable line width and color - Option to extend lines to the right edge of the chart 2. Support and Resistance Zones - Creates semi-transparent zone areas around pivot points - Customizable width for better visibility of important price levels - Separate colors for support (lows) and resistance (highs) - Visual representation of price areas rather than just single lines 3. Zig Zag Lines - Separate colors for upward and downward ZigZag movements - Visually distinguishes between bullish and bearish price swings - Customizable colors for text - Width customization 4. Enhanced Settings Structure - Added new fields to the Settings type to support the additional features - Extended Pivot type with supportResistance and supportResistanceZone fields - Comprehensive configuration options for visual elements These enhancements make the ZigZag more useful for technical analysis by clearly highlighting support/resistance levels and zones, and providing clearer visual cues about market direction. █ Technical Implementation This library leverages Pine Script™'s user-defined types (UDTs) to create a robust object-oriented architecture: - Settings : Stores configuration parameters for calculation and display - Pivot : Represents pivot points with their visual elements and properties - ZigZag : Manages the overall state and behavior of the indicator The implementation follows best practices from the Pine Script™ User Manual's Style Guide and uses advanced language features like methods and object references. These UDTs represent Pine Script™'s most advanced feature set, enabling sophisticated data structures and improved code organization. For newcomers to Pine Script™, it's recommended to understand the language fundamentals before working with the UDT implementation in this library. █ Usage Example //@version=6 indicator("ZigZag Example", overlay = true, shorttitle = 'ZZA', max_bars_back = 5000, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500) import andre_007/ZigZag/1 as ZIG var group_1 = "ZigZag Settings" //@variable Draw Zig Zag on the chart. bool showZigZag = input.bool(true, "Show Zig-Zag Lines", group = group_1, tooltip = "If checked, the Zig Zag will be drawn on the chart.", inline = "1") // @variable The deviation percentage from the last local high or low required to form a new Zig Zag point. float deviationInput = input.float(5.0, "Deviation (%)", minval = 0.00001, maxval = 100.0, tooltip = "The minimum percentage deviation from a previous pivot point required to change the Zig Zag's direction.", group = group_1, inline = "2") // @variable The number of bars required for pivot detection. int depthInput = input.int(10, "Depth", minval = 1, tooltip = "The number of bars required for pivot point detection.", group = group_1, inline = "3") // @variable registerPivot (series bool) Optional. If `true`, the function compares a detected pivot // point's coordinates to the latest `Pivot` object's `end` chart point, then // updates the latest `Pivot` instance or adds a new instance to the `ZigZag` // object's `pivots` array. If `false`, it does not modify the `ZigZag` object's // data. The default is `true`. bool allowZigZagOnOneBarInput = input.bool(true, "Allow Zig Zag on One Bar", tooltip = "If checked, the Zig Zag calculation can register a pivot high and pivot low on the same bar.", group = group_1, inline = "allowZigZagOnOneBar") var group_2 = "Display Settings" // @variable The color of the Zig Zag's lines (up). color lineColorUpInput = input.color(color.green, "Line Colors for Up/Down", group = group_2, inline = "4") // @variable The color of the Zig Zag's lines (down). color lineColorDownInput = input.color(color.red, "", group = group_2, inline = "4", tooltip = "The color of the Zig Zag's lines") // @variable The width of the Zig Zag's lines. int lineWidthInput = input.int(1, "Line Width", minval = 1, tooltip = "The width of the Zig Zag's lines.", group = group_2, inline = "w") // @variable If `true`, the Zig Zag will also display a line connecting the last known pivot to the current `close`. bool extendInput = input.bool(true, "Extend to Last Bar", tooltip = "If checked, the last pivot will be connected to the current close.", group = group_1, inline = "5") // @variable If `true`, the pivot labels will display their price values. bool showPriceInput = input.bool(true, "Display Reversal Price", tooltip = "If checked, the pivot labels will display their price values.", group = group_2, inline = "6") // @variable If `true`, each pivot label will display the volume accumulated since the previous pivot. bool showVolInput = input.bool(true, "Display Cumulative Volume", tooltip = "If checked, the pivot labels will display the volume accumulated since the previous pivot.", group = group_2, inline = "7") // @variable If `true`, each pivot label will display the change in price from the previous pivot. bool showChgInput = input.bool(true, "Display Reversal Price Change", tooltip = "If checked, the pivot labels will display the change in price from the previous pivot.", group = group_2, inline = "8") // @variable Controls whether the labels show price changes as raw values or percentages when `showChgInput` is `true`. string priceDiffInput = input.string("Absolute", "", options = , tooltip = "Controls whether the labels show price changes as raw values or percentages when 'Display Reversal Price Change' is checked.", group = group_2, inline = "8") // @variable If `true`, the Zig Zag will display support and resistance lines. bool showSupportResistanceInput = input.bool(true, "Show Support/Resistance Lines", tooltip = "If checked, the Zig Zag will display support and resistance lines.", group = group_2, inline = "9") // @variable The number of bars to extend the support and resistance lines from the last pivot point. int supportResistanceOffsetInput = input.int(50, "Support/Resistance Offset", minval = 0, tooltip = "The number of bars to extend the support and resistance lines from the last pivot point.", group = group_2, inline = "10") // @variable The width of the support and resistance lines. int supportResistanceWidthInput = input.int(1, "Support/Resistance Width", minval = 1, tooltip = "The width of the support and resistance lines.", group = group_2, inline = "11") // @variable The color of the support lines. color supportColorInput = input.color(color.red, "Support/Resistance Color", group = group_2, inline = "12") // @variable The color of the resistance lines. color resistanceColorInput = input.color(color.green, "", group = group_2, inline = "12", tooltip = "The color of the support/resistance lines.") // @variable If `true`, the support and resistance lines will be drawn as zones. bool showSupportResistanceZoneInput = input.bool(true, "Show Support/Resistance Zones", tooltip = "If checked, the support and resistance lines will be drawn as zones.", group = group_2, inline = "12-1") // @variable The color of the support zones. color supportZoneColorInput = input.color(color.new(color.red, 70), "Support Zone Color", group = group_2, inline = "12-2") // @variable The color of the resistance zones. color resistanceZoneColorInput = input.color(color.new(color.green, 70), "", group = group_2, inline = "12-2", tooltip = "The color of the support/resistance zones.") // @variable The width of the support and resistance zones. int supportResistanceZoneWidthInput = input.int(10, "Support/Resistance Zone Width", minval = 1, tooltip = "The width of the support and resistance zones.", group = group_2, inline = "12-3") // @variable If `true`, the support and resistance lines will extend to the right of the chart. bool supportResistanceExtendInput = input.bool(false, "Extend to Right", tooltip = "If checked, the lines will extend to the right of the chart.", group = group_2, inline = "13") // @variable References a `Settings` instance that defines the `ZigZag` object's calculation and display properties. var ZIG.Settings settings = ZIG.Settings.new( devThreshold = deviationInput, depth = depthInput, lineColorUp = lineColorUpInput, lineColorDown = lineColorDownInput, textUpColor = lineColorUpInput, textDownColor = lineColorDownInput, lineWidth = lineWidthInput, extendLast = extendInput, displayReversalPrice = showPriceInput, displayCumulativeVolume = showVolInput, displayReversalPriceChange = showChgInput, differencePriceMode = priceDiffInput, draw = showZigZag, allowZigZagOnOneBar = allowZigZagOnOneBarInput, drawSupportResistance = showSupportResistanceInput, supportResistanceOffset = supportResistanceOffsetInput, supportResistanceWidth = supportResistanceWidthInput, supportColor = supportColorInput, resistanceColor = resistanceColorInput, supportResistanceExtend = supportResistanceExtendInput, supportResistanceZoneWidth = supportResistanceZoneWidthInput, drawSupportResistanceZone = showSupportResistanceZoneInput, supportZoneColor = supportZoneColorInput, resistanceZoneColor = resistanceZoneColorInput ) // @variable References a `ZigZag` object created using the `settings`. var ZIG.ZigZag zigZag = ZIG.newInstance(settings) // Update the `zigZag` on every bar. zigZag.update() //#endregion The example code demonstrates how to create a ZigZag indicator with customizable settings. It: 1. Creates a Settings object with user-defined parameters 2. Instantiates a ZigZag object using these settings 3. Updates the ZigZag on each bar to detect new pivot points 4. Automatically draws lines and labels when pivots are detected This approach provides maximum flexibility while maintaining readability and ease of use.
Библиотека Pine Script®
от andre_007
12
Support and Resistancelookback: This input allows you to specify the number of bars to look back to calculate the support and resistance levels. support: This is calculated as the lowest low over the specified lookback period. resistance: This is calculated as the highest high over the specified lookback period. plot: The support and resistance levels are plotted on the chart with different colors. bgcolor: This optional feature highlights the support and resistance zones with a semi-transparent background color.
Индикатор Pine Script®
от Giuseppe5613
Malaysian SnR [by DanielM]The Malaysian SnR (Support and Resistance) levels are a popular trading concept that identifies specific price levels on charts which are considered significant for trading decisions. Here's a breakdown of the concepts: A Levels and V Levels: These refer to specific types of SNR levels: A Levels: These are formed at the highest points of price movements. The indicator highlights these levels with a red line. V Levels: These are formed at the lowest points of price movements, typically observed as valleys in chart patterns. The indicator highlights these levels with a green line. Fresh and Unfresh Levels: Fresh Levels: These are price levels that have not been touched by a wick since their formation. They are considered more significant because they might provide a stronger reaction when the price touches these levels again. Unfresh Levels: These are levels that have been touched by a wick since their formation. Each time a level is tested, it is considered less significant because it might offer weaker resistance or support. A level that has been tested can become fresh again if it's crossed by a candle body. Gaps: A gap occurs when you have two bullish candles or two bearish candles. It is defined as the area between the close of the first candle and the open of the next one. It is marked by drawing a line at the closing price of the first candle, thus representing the level where the gap was initially observed. The indicator highlights these levels with a blue lines for bullish gaps and violet lines for bearish gaps. Fresh vs. Unfresh Gaps: Similar to A and V levels, gaps can be classified as fresh or unfresh. A fresh gap is one that hasn't been touched by a wick after it was created. These are often considered more significant because they may hold stronger as potential support or resistance. Unfresh gaps have been touched by a wick, and they may be considered less significant. A gap that has been tested can become fresh again if it's crossed by a candle body. Inputs: Number of bars to look back to detect A levels, V levels, and Gaps. Allows users to toggle the visibility of only fresh A and V levels. Allows users to decide whether to display gap levels or not. Allows users to decide whether to display only fresh gaps. Allows the users to set the maximum number of A levels, V levels and gaps on the chart.
Индикатор Pine Script®
от DanieIM
28
Dynamic S/R Levels: Edge FinderOverview The Dynamic S/R Levels: Edge Finder indicator is designed to identify dynamic support and resistance levels based on historical price action. It uses a combination of price extremes (highs and lows) over user-defined lookback periods, weighted moving averages (WMAs), and touch-count analysis to provide actionable insights into key market levels. This tool is ideal for traders who want to: Identify dynamic support and resistance zones. Understand the strength of these levels based on price touches. Make informed decisions using clear, adaptive levels. How It Works Dynamic Levels Calculation: The indicator calculates dynamic support levels using the lowest lows and dynamic resistance levels using the highest highs over user-defined lookback periods (e.g., 20, 40, 60 bars, etc.). These levels are updated dynamically as new price data becomes available. Touch Count Analysis: The indicator counts how many times the price has touched or come close to each support/resistance level within the lookback period. Levels with more touches are considered stronger and are highlighted accordingly. Weighted Moving Averages (WMAs): The indicator uses 50-period and 100-period WMAs to identify the closest support/resistance levels to the current trend. Levels near these WMAs are given additional weight, as they are more likely to act as significant barriers. Level Merging: If two support or resistance levels are too close to each other (based on the minimum distance percentage), the weaker level (with fewer touches) is removed to avoid clutter. Visualization: Support levels are displayed as dashed red lines, and resistance levels are displayed as dashed blue lines. Each level is labeled with its corresponding touch count, allowing traders to quickly assess its strength. How to Interpret the Indicator Strong Support/Resistance Levels: Levels with higher touch counts (e.g., 5, 10, or more) are considered stronger and are more likely to hold in the future. Use these levels to plan entries, exits, or stop-loss placements. Proximity to WMAs: Levels closest to the 50-period or 100-period WMA are more significant, especially in trending markets. These levels often act as dynamic barriers where price reactions are more likely. Breakouts and Rejections: If the price breaks through a strong resistance level, it may indicate a potential bullish trend. If the price rejects a strong support level, it may indicate a potential bearish trend. Always confirm breakouts or rejections with additional analysis (e.g., volume, candlestick patterns). Level Merging: Merged levels indicate areas of high confluence, where multiple support/resistance zones overlap. These areas are particularly important for decision-making, as they represent stronger market reactions. Key Features Customizable Lookback Periods: Adjust the lookback periods for each dynamic level to suit your trading style. Touch Count Labels: Quickly identify the strength of each level based on the number of price touches. Adaptive Levels: The indicator dynamically updates levels based on recent price action. Clean Visualization: Levels are automatically merged to avoid clutter and provide a clear view of the market structure. Usage Tips Trend Identification: Combine the indicator with trend-following tools (e.g., moving averages, trendlines) to confirm the overall market direction. Risk Management: Use the identified levels to set stop-loss orders or take-profit targets. Timeframe Flexibility: The indicator works on all timeframes, but it is particularly effective on higher timeframes (e.g., 1H, 4H, Daily) for more reliable levels. Example Scenarios Bounce Trade: If the price approaches a strong support level (high touch count) and shows signs of rejection (e.g., bullish candlestick patterns), consider a long position with a stop-loss below the support level. Breakout Trade: If the price breaks above a strong resistance level with high volume, consider a long position with a target at the next resistance level. Range-Bound Market: In a sideways market, use the support and resistance levels to identify range boundaries and trade bounces between them. Disclaimer Dynamic S/R Levels: Edge Finder is a technical analysis tool designed to identify dynamic support and resistance levels based on historical price action. It is intended for informational and educational purposes only. This indicator does not provide financial, investment, or trading advice. Users are solely responsible for their trading decisions and should conduct their own research and analysis before making any trades. The developer of this tool is not liable for any financial losses or damages resulting from the use of this indicator. Trading in financial markets involves risk, and you should only trade with capital you can afford to lose.
Индикатор Pine Script®
от alwaysfree2021
1
Breaks and Retests - Free990Strategy Description: "Breaks and Retests - Free990" The "Breaks and Retests - Free990" strategy is based on identifying breakout and retest opportunities for potential entries in both long and short trades. The idea is to detect price breakouts above resistance levels or below support levels, and subsequently identify retests that confirm the breakout levels. The strategy offers an automated approach to enter trades after a breakout followed by a retest, which serves as a confirmation of trend continuation. Key Components: Support and Resistance Detection: The strategy calculates pivot levels based on historical price movements to define support and resistance areas. A lookback range is used to determine these key levels. Breakouts and Retests: The system identifies when a breakout occurs above a resistance level or below a support level. It then waits for a retest of the previously broken level as confirmation, which is often a better entry opportunity. Trade Direction Selection: Users can choose between "Long Only," "Short Only," or "Both" directions for trading based on their market view. Stop Loss and Trailing Stop: An initial stop loss is placed at a defined percentage away from the entry. The trailing stop loss is activated after the position gains a specified percentage in profit. Long Entry: A long entry is triggered if the price breaks above a resistance level and subsequently retests that level successfully. The entry condition checks if the breakout was confirmed and if a retest was valid. The long entry is only executed if the user-selected direction is either "Long Only" or "Both." Short Entry: A short entry is triggered if the price breaks below a support level and subsequently retests that level. The short entry is only executed if the user-selected direction is either "Short Only" or "Both." sell_condition checks whether the support has been broken and whether the retest condition is valid. An initial stop loss is placed when the trade is opened to limit the risk if the trade moves against the position. The stop loss is calculated based on a user-defined percentage (stop_loss_percent) of the entry price. pinescript Copy code stop_loss_price := strategy.position_avg_price * (1 - stop_loss_percent / 100) For long positions, the stop loss is placed below the entry price. For short positions, the stop loss is placed above the entry price. Trailing Stop: When a position achieves a certain profit threshold (profit_threshold_percent), the trailing stop mechanism is activated. For long positions, the trailing stop follows the highest price reached, ensuring that some profit is locked in if the price reverses. For short positions, the trailing stop follows the lowest price reached. Code Logic for Trailing Stop: Exit Execution: The strategy exits the position when the price hits the calculated stop loss level. This includes both the initial stop loss and the trailing stop that adjusts as the trade progresses. Code Logic for Exit: Summary: Breaks and Retests - Free990 uses support and resistance levels to identify breakouts, followed by retests for confirmation. Entry Points: Triggered when a breakout is confirmed and a retest occurs, for both long and short trades. Exit Points: Initial Stop Loss: Limits risk for both long and short trades. Trailing Stop Loss: Locks in profits as the price moves in favor of the position. This strategy aims to capture the momentum after breakouts and minimize losses through effective use of stop loss and trailing stops. It gives the flexibility of selecting trade direction and ensures trades are taken with confirmation through the retest, which helps to reduce false breakouts. Original Code by @HoanGhetti
Стратегия Pine Script®
от Free990
2
Bubbles Volume [BigBeluga]The Bubbles Volume indicator is an innovative visualization tool designed to represent trading volume in a more intuitive and visually appealing manner. By displaying volume as bubbles of varying sizes and colors on the price chart, this indicator helps traders quickly identify significant volume levels and potential areas of interest. Important Note: For correct visual representation of indicator, layout it to front: 🔵 KEY FEATURES ● Volume Bubbles Represents trading volume as bubbles on the price chart Bubble size increases with higher volume levels Color intensity changes based on volume significance Provides an intuitive visual representation of volume distribution ● Heatmap Coloring Optional feature to color bubbles based on volume intensity Uses a color gradient from cool (low volume) to hot (high volume) colors Helps quickly identify extremely high volume areas ● Significant Volume Levels Option to display horizontal lines at significant volume levels Shows volume amount as labels for highly significant levels Helps identify potential support/resistance areas based on volume Volume Levels: Levels with HeatMap: Levels without Volume Bubles: ● Normalized Volume Calculation Uses normalized volume to account for overall market volume trends Provides a more accurate representation of volume significance 🔵 HOW TO USE ● Volume Analysis Larger bubbles indicate higher trading volume Clusters of large bubbles may suggest areas of high interest or potential reversals Use in conjunction with price action to identify potential breakouts or fakeouts ● Trend Confirmation Strong trends often show increasing bubble sizes in the trend direction Diminishing bubble sizes might indicate weakening trends ● Support and Resistance Significant volume levels (displayed as lines) can act as potential support/resistance Pay attention to price reactions at these levels for trading opportunities ● Divergences Look for divergences between price action and bubble sizes Price making new highs/lows with smaller bubbles might indicate weakening momentum ● Volatility Assessment Periods with consistently large bubbles indicate high volatility Can be used to adjust trading strategies or position sizing 🔵 CUSTOMIZATION The Bubbles Volume indicator offers several customization options: Toggle bubble display on/off Adjust volume threshold for filtering low volume bubbles Enable/disable heatmap coloring for enhanced visual analysis Show/hide significant volume levels Adjust the number of significant levels displayed Customize colors to suit personal preferences By fine-tuning these settings, traders can adapt the indicator to various market conditions and personal analysis preferences. The Bubbles Volume indicator provides a unique and intuitive way to visualize trading volume directly on the price chart. This approach allows traders to quickly identify areas of significant trading activity and potential price levels of interest without the need for a separate volume sub-chart. This tool can be particularly useful for traders focusing on volume analysis, breakout strategies, or those looking to confirm price action with volume. The visual nature of the bubbles makes it easy to spot volume patterns and anomalies at a glance, potentially leading to faster and more informed trading decisions. As with all technical indicators, it's recommended to use the Bubbles Volume indicator in conjunction with other forms of analysis and within the context of a well-defined trading strategy. While this indicator provides valuable volume insights, it should be considered alongside other factors such as overall market trends, price patterns, and fundamental analysis when making trading decisions.
Индикатор Pine Script®
от BigBeluga
28
DP-OCR MTF & MA 2024This script developed is designed for multi-timeframe analysis of previous open, close, and range, with additional signal plots based on various percentage extension levels. It also incorporates EMA calculations for crossover strategies. Here's a quick breakdown of what the script does: Key Features: 1. Timeframes: o Two separate timeframes (TF1 and TF2), which can be set by the user (e.g., 15 mins, 30 mins, daily, etc.). The script computes price actions and extensions for both timeframes. For better analysis, use Daily in TF1 and Weekly in TF2 2. Extension Levels: o Calculates and plots 10%, 21%, 31%, 51%, and 61% extensions (both positive and negative) for each timeframe. o The most commonly used extension levels are 61%, 31%, -61%, and -21%. o These extension levels can be turned on or off by the user. 3. Open/Close/Range: o Tracks the high, low, open, and close for both timeframes. o Highlights open/close gaps. o Plots the previous high/low range for both timeframes with a fill and different colors based on price movement. How to Use: • You can toggle specific extension levels on or off in the script’s settings. • For example, when price hits a +61% extension, it could signal a breakout, and when it hits a -61% extension, it may indicate a potential retracement. • Use these levels in conjunction with your price action analysis to set entry/exit points or stop-loss levels. 4. Today’s Open: o Plots today’s opening price for both timeframes. How to Use: • Use today’s open as a key reference point to determine the day’s price action. • Compare today’s open with the previous high/low or extension levels to evaluate possible trends or reversals. 5. EMA Calculations: o The script calculates 5, 15, and 20 period EMAs and plots them on the chart. o Additional EMA crossover signals can be included for strategy optimization. How to Use: • Observe the EMAs for potential crossover signals. For example, a 5-period EMA crossing above a 15-period or 20-period EMA may signal a buy opportunity, while a crossover in the opposite direction may signal a sell. • Combine the EMA crossovers with extension levels or previous price data to refine your entries and exits. Customizations Available: • Users can select whether to display extension levels for either timeframe. • The script allows automatic adaptation to intraday, daily, weekly, or monthly timeframes based on the current chart settings. Moreover, the extension levels are calculated based on the previous period’s range, with the most commonly usable extension levels being 61, 31, -61, and -21. These levels are often used for identifying potential price retracements, breakouts, or reversal points in technical analysis.
Индикатор Pine Script®
от paithaned
1
Configurable Level Trading StrategyThe Dynamic Level Reversal Strategy is a trading approach designed to capitalize on price movements between key support and resistance levels. This strategy leverages configurable levels the trader determines, allowing for flexibility and adaptation to different market conditions. Key Features: Configurable Levels: The strategy uses three key levels: Level 1 (Support), Level 2 (Middle), and Level 3 (Resistance). These levels can be adjusted directly within the script settings, making the strategy adaptable to various trading scenarios. Buy and Sell Signals: A buy signal is triggered when the price touches Level 1 and shows signs of reversal. The trader enters a position and sets an initial stop-loss just below Level 1. As the price moves upward, the stop-loss is dynamically adjusted to just below Level 2 and Level 3, locking in profits while managing risk. A sell signal is generated if the price reverses and crosses below the current stop-loss level, ensuring the trader exits the position with minimized losses. Iterative Process: The strategy allows for iterative trades, where the trader re-enters positions at Level 1 or Level 2 if the price revisits these levels, continually adjusting stop-losses and take-profit targets as the price oscillates between the defined levels. Ideal Use Cases: Range-Bound Markets: The strategy is particularly effective in markets where the price tends to oscillate between well-defined support and resistance levels. Volatile Markets: The dynamic adjustment of stop-loss levels helps protect against sudden price reversals, making it suitable for volatile market conditions. How to Use: Set the desired levels (Level 1, Level 2, Level 3) based on your market analysis. The script will automatically generate buy and sell signals, and adjust stop-loss levels as the price moves through the levels. Monitor the signals and execute trades according to the strategy's guidelines.
Индикатор Pine Script®
от alexperry870
1
SVMKR_VIX_Based_LevelsThe "SVMKR_VIX_Based_Levels" script is a Pine Script indicator designed to assist intraday traders in identifying dynamic support and resistance levels based on the Volatility Index (VIX). Here's a breakdown of the script and its uses for intraday traders: ### Script Description: 1. **Data Retrieval**: - The script fetches daily closing prices of the India VIX (volatility index) and a specified security using `request.security()`. 2. **Input Parameters**: - Intraday traders can customize the indicator using input parameters such as the number of levels above and below the Pivot Day Close (PDC), line offset lengths, line extension options, and color and width settings for plotted lines. 3. **Plotting**: - The script plots the PDC and VIX as hidden lines (`display=display.none`). - Support and resistance levels are calculated based on the VIX and PDC, and plotted above and below the PDC with customizable colors and widths. - Each level can be labeled with its corresponding price. 4. **Customization**: - Intraday traders can choose to display or hide prices on the plotted lines. - Colors and widths of plotted lines are customizable. - Options to show minor and mild support levels provide additional flexibility. 5. **Labels**: - Labels are added to indicate the PDC and the plotted levels, displaying corresponding prices if enabled. ### Uses for Intraday Traders: 1. **Dynamic Support and Resistance**: Intraday traders can benefit from dynamically adjusted support and resistance levels that respond to changes in market volatility, providing more accurate levels for trade planning. 2. **Market Sentiment Analysis**: By incorporating the VIX, a measure of market volatility and sentiment, the indicator provides insights into market sentiment, helping intraday traders gauge market mood and potential direction. 3. **Confirmation of Price Action**: The plotted support and resistance levels can serve as confirmation signals for intraday traders, helping validate trading decisions and enhance trading confidence. 4. **Adaptability to Changing Market Conditions**: Intraday traders often face rapidly changing market conditions. The indicator's ability to adapt to changes in volatility ensures that plotted levels remain relevant and responsive, aiding traders in adjusting their strategies accordingly. 5. **Trade Planning and Execution**: Intraday traders can use the plotted support and resistance levels to identify potential entry and exit points, set profit targets and stop-loss levels, and plan their trades more effectively. Overall, the "SVMKR_VIX_Based_Levels" indicator provides intraday traders with a valuable tool for dynamic support and resistance identification, market sentiment analysis, confirmation of price action, and trade planning and execution, ultimately assisting them in making more informed and profitable trading decisions in the intraday timeframe.
Индикатор Pine Script®
от svmkr987
4
TrendLine Toolkit w/ Breaks (Real-Time)The TrendLine Toolkit script introduces an innovating capability by extending the conventional use of trendlines beyond price action to include oscillators and other technical indicators. This tool allows traders to automatically detect and display trendlines on any TradingView built-in oscillator or community-built script, offering a versatile approach to trend analysis. With breakout detection and real-time alerts, this script enhances the way traders interpret trends in various indicators. 🔲 Methodology Trendlines are a fundamental tool in technical analysis used to identify and visualize the direction and strength of a price trend. They are drawn by connecting two or more significant points on a price chart, typically the highs or lows of consecutive price movements (pivots). Drawing Trendlines: Uptrend Line - Connects a series of higher lows. It signals an upward price trend. Downtrend Line - Connects a series of lower highs. It indicates a downward price trend. Support and Resistance: Support Line - A trendline drawn under rising prices, indicating a level where buying interest is historically strong. Resistance Line - A trendline drawn above falling prices, showing a level where selling interest historically prevails. Identification of Trends: Uptrend - Prices making higher highs and higher lows. Downtrend - Prices making lower highs and lower lows. Sideways (or Range-bound) - Prices moving within a horizontal range. A trendline helps confirm the existence and direction of a trend, providing guidance in aligning with the prevailing market sentiment. Additionally, they are usually paired with breakout analysis, a breakout occurs when the price breaches a trendline. This signals a potential change in trend direction or an acceleration of the existing trend. The script adapts this methodology to oscillators and other indicators. Instead of relying on price pivots, which can only be detected in retrospect, the script utilizes a trailing stop on the oscillator to identify potential swings in real-time, you may find more info about it here (SuperTrend toolkit) . We detect swings or pivots simply by testing for crosses between the indicator and its trailing stop. type oscillator float o = Oscillator Value float s = Trailing Stop Value oscillator osc = oscillator.new() bool l = ta.crossunder(osc.o, osc.s) => Utilized as a formed high bool h = ta.crossover (osc.o, osc.s) => Utilized as a formed low This approach enables the algorithm to detect trendlines between consecutive pivot highs or lows on the oscillator itself, providing a dynamic and immediate representation of trend dynamics. 🔲 Breakout Detection The script goes beyond trendline creation by incorporating breakout detection directly within the oscillator. After identifying a trendline, the algorithm continuously monitors the oscillator for potential breakouts, signaling shifts in market sentiment. 🔲 Setup Guide A simple example on one of my public scripts, Z-Score Heikin-Ashi Transformed 🔲 Settings Source - Choose an oscillator source of which to base the Toolkit on. Zeroing - The Mid-Line value of the oscillator, for example RSI & MFI use 50. Sensitivity - Calibrates the Sensitivity of which TrendLines are detected, higher values result in more detections. 🔲 Alerts Bearish TrendLine Bullish TrendLine Bearish Breakout Bullish Breakout As well as the option to trigger 'any alert' call. By integrating trendline analysis into oscillators, this Toolkit enhances the capabilities of technical analysis, bringing a dynamic and comprehensive approach to identifying trends, support/resistance levels, and breakout signals across various indicators.
Индикатор Pine Script®
от EliCobra
5