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อินดิเคเตอร์และกลยุทธ์

Weekly macro trend indicator for gold using a 30-week SMAWhat this indicator does This indicator identifies the macro trend regime of gold using a simple, time-tested framework: the weekly price of gold relative to its 30-week simple moving average. It is designed to answer one question only: Is gold currently in a monetary uptrend? How it works The indicator uses weekly data and applies a 30-week SMA regime filter: Bullish (Monetary Uptrend): Gold price is above a rising 30-week SMA. Bearish (Monetary Downtrend): Gold price is below a falling 30-week SMA. Neutral (Transition): All other conditions (range-bound or early trend change). A clear on-chart label displays the current regime. How to use it Use this as the first filter before analyzing silver, miners, or relative-strength ratios. When gold is Bull, precious metals deserve attention. When gold is Bear, most precious-metal trades lose their edge. When gold is Neutral, patience is usually rewarded. Best timeframe This indicator is designed for weekly charts and macro-level decision-making. It is not intended for day trading or short-term signals. Who this is for: Investors and traders focused on macro trends Those treating gold as a monetary asset, not a short-term trade Anyone looking for a clean, objective regime filter.
อินดิเคเตอร์ Pine Script®
โดย tradingqueen18
AlgoLevel - Price Action ToolkitAlgoLevel — Price Action Toolkit is a price-action–based analysis indicator designed to help traders better understand how price behaves around key areas, rather than relying on lagging indicators or isolated signals. The script is built on widely used price action concepts such as Supply & Demand zones, market structure (BOS / CHoCH), displacement, volume participation, and key market reference levels. These concepts are commonly studied and applied by discretionary traders across different markets. By automatically organizing these elements on the chart, AlgoLevel helps reduce manual work and chart clutter, allowing traders to focus on context, confirmation, and disciplined decision-making. When combined with proper risk management and a well-defined trading plan, the tool is intended to support consistent and structured analysis, not shortcuts or guarantees. AlgoLevel is designed for learning, analysis, and situational awareness, and can be used across any market or timeframe. AlgoLevel is built around four core price-action pillars, applied in a specific and intentional order: 1. Supply & Demand Zones (Primary Focus) 2. Zone Lifecycle: Mitigation & Retests 3. Market Structure (BOS / CHoCH) 4. Momentum & Key Market Levels (Context) It is a decision-support system that shows where price is reacting, what structure is doing, and whether momentum supports continuation or reversal. 🔶 CORE FEATURES (OVERVIEW) AlgoLevel includes the following major components: • Automated Supply & Demand zone detection with strength scoring • Smart Demand / Smart Supply zone highlighting • Zone mitigation & invalidation tracking • Price-entered zone detection (normal & Smart) • Swing market structure (HH / HL / LH / LL) • BOS & CHoCH detection • Optional ghost swings (emerging structure) • Hybrid Momentum Cloud (ATR-normalized displacement × volume) • Optional MTF momentum confluence • Key market levels: o PDH / PDL o WKH / WKL o PMH / PML • Built-in alerts + optional on-chart popup alerts • Hover tooltips on all major elements (zones, structure, levels) 🔶 1) SUPPLY & DEMAND ZONES (PRIMARY ENGINE) Supply & Demand zones are the foundation of AlgoLevel. Zones are detected on confirmed candles only, using: • Candle direction (bullish / bearish) • Relative volume vs EMA baseline • Price displacement & imbalance behavior Each zone stores: • Zone top / bottom / midpoint • Formation volume • Relative strength score • Time anchor for clean plotting & extension ✅ Smart Zones (Strength-Based Filtering) Zones are ranked relative to recent zones. Zones meeting your configured threshold (example: ≥ 60%) are highlighted as Smart Demand or Smart Supply. 🔶 2) ZONE LIFECYCLE — MITIGATION & RETEST LOGIC Zones in AlgoLevel are dynamic, not static drawings. Each zone follows a lifecycle: Formation → Active → Mitigated / Invalidated Mitigation styles: • Close — strict confirmation beyond the zone • Wick — sensitive touch behavior • Avg — average-based mitigation logic Mitigated zones are automatically removed, keeping the chart focused on relevant price areas. Price Entered Zone Detection AlgoLevel detects when price: • Enters Demand / Supply zones • Enters Smart Demand / Smart Supply zones These events can trigger: • Alerts • On-chart popup labels • Monitoring workflows 🔶 3) MARKET STRUCTURE — BOS / CHoCH CONFIRMATION After price interacts with a zone, market structure provides intent. The structure engine identifies: • HH / HL / LH / LL • BOS (Break of Structure) — continuation context • CHoCH (Change of Character) — potential reversal context Optional Ghost Swings Ghost swings show temporary emerging pivots and disappear once structure is confirmed — providing early context without repainting confirmed labels. 🔶 4) HYBRID MOMENTUM CLOUD (TREND CONTEXT) The Momentum Cloud is a bias & trend context tool, not a timing trigger. It combines: • ATR-normalized displacement • Volume-weighted momentum • EMA smoothing • Adaptive envelope expansion / contraction Optional MTF Momentum Confluence Momentum confirmation can require agreement from additional timeframes with a configurable signal count. 🔶 5) KEY MARKET LEVELS (CONTEXT & FRAMING) AlgoLevel includes widely used reference levels: • PDH / PDL — Previous Day High / Low • WKH / WKL — Previous Week High / Low • PMH / PML — Premarket High / Low • Optional VWAP These levels help frame: • Liquidity context • Reaction zones • Potential targets Example 2 🔶 6) HOVER TOOLTIPS & INTERACTIVE EXPLANATIONS (KEY UX FEATURE) AlgoLevel includes contextual hover tooltips across all major elements to make the script self-explanatory directly on the chart. When hovering over zones, structure labels, or levels, users can see: Zone Tooltips • Zone type (Demand / Supply) • Strength percentage (relative ranking) • Formation volume • Quick interpretation (strong / medium / weak context) Structure Tooltips • BOS vs CHoCH explanation • Internal vs swing structure context • Confirmation logic reference Level Tooltips • Level type (PDH, PMH, WKH, etc.) • Session or timeframe origin • Intended use as reference, not signals This allows users to understand what each element represents and why it matters without reading documentation or code. 🔶 BASIC DEMONSTRATION (CONCEPTUAL EXAMPLES) Example A — Trend Continuation from Demand 1. Momentum Cloud indicates bullish bias 2. Price pulls back into Smart Demand 3. BOS confirms continuation 4. Levels used for context & targets Example B — Reversal Context from Supply 1. Price enters Supply zone 2. CHoCH appears 3. Momentum shifts bearish 4. Zone + structure used as reversal context 🔶 USAGE & WORKFLOW (RECOMMENDED) 1️⃣ Establish bias using Momentum Cloud 2️⃣ Identify Smart Demand / Supply zones 3️⃣ Wait for price interaction 4️⃣ Confirm intent using structure 5️⃣ Use levels for context 6️⃣ Execute with personal risk rules 🔶 SETTINGS (HIGH-LEVEL GUIDE) Supply & Demand • Lookback count • Mitigation method • De-dup distance • Zone extension • Smart labels & metrics • MTF zone source Structure • Swing length • BOS / CHoCH labels • Ghost swings Momentum • EMA base • Volume & displacement lookbacks • Smoothing & envelope factor • MTF confirmation Levels • PDH / PDL • WKH / WKL • PMH / PML Alerts • Zone formed / mitigated • Zone entered • Smart zone entered • On-chart popups 🔹 HOW I USE THIS TOOL (AUTHOR WORKFLOW) This is one practical way I personally use AlgoLevel for intraday context and execution alignment. 1️⃣ Use a Lower Timeframe for Early Zone Awareness (10-Second Chart) I first monitor a very low timeframe (example: 10-second) to observe: • Where Supply and Demand zones are forming early • How price reacts inside those zones (acceptance, rejection, or clean breaks) • Which zones show higher relative strength or volume participation This helps me see micro reactions and intent before they become obvious on higher timeframes. 2️⃣ Execute Decisions on a Higher Timeframe (1-Minute Chart) Once zones are established on the lower timeframe, I shift focus to the 1-minute chart to: • Trade with cleaner structure • Reduce noise from ultra-fast price fluctuations • Use Supply/Demand zones as areas, not precise entries Execution decisions are always made on the higher timeframe, with the lower timeframe acting as context only, not a trigger. 3️⃣ Always Check Key Reference Levels Before taking any trade idea, I verify where price is relative to: • Premarket High / Low (PMH / PML) • Previous Day High / Low (PDH / PDL) • Previous Week High / Low (WKH / WKL) If price is reacting at these levels in confluence with Supply/Demand zones, the context is stronger. If not, I stay patient. 4️⃣ Use Structure & Momentum for Confirmation, Not Prediction • Swing structure (HH/HL/LH/LL, BOS, CHoCH) helps confirm whether price is continuing or shifting • The Momentum Cloud provides trend context, not entries I avoid trading against structure or momentum, even if a zone exists. 5️⃣ Risk Management Is Always User-Defined AlgoLevel does not: • Generate buy/sell signals • Define stops or targets • Guarantee outcomes Risk, position sizing, and execution rules are entirely up to the user. Zones and levels are decision areas, not guarantees. 📝 IMPORTANT NOTE This workflow is shared for educational purposes only to demonstrate how multiple timeframes, zones, structure, and levels can be combined logically. Results depend on market conditions, execution discipline, and risk management. • Zones can fail or be mitigated • Structure labels require confirmation • Momentum is context, not timing • Best results come from confluence 📝Conclusion Price action trading is widely respected for its straightforward and practical approach to understanding market behavior. This tool is designed to enhance that approach by presenting structured price-based insights in a clear and accessible way, helping traders better observe and interpret market movement. While this script provides valuable visual context and analytical support, it should be used as part of a broader trading process. Market outcomes depend on many variables, and consistent performance comes from experience, discipline, and sound decision-making over time. 🔒 How to get access This is an Invite-Only script. Follow the author’s access instructions on the publication page.
อินดิเคเตอร์ Pine Script®
โดย AlgoLevel
Feta Floors V1.3Feta Floors - Publication Description Summary / Hook Feta Floors is a precision-focused Multi-Timeframe (MTF) support and resistance tool designed for traders who need exact historical levels without the visual clutter of traditional horizontal lines. Unlike standard MTF indicators that project lines across the entire chart, Feta Floors uses a unique "Point-to-Right" drawing engine to originate levels from the exact candle where they occurred. 🛠 Concepts & Methodology (How it Works) This script solves two common problems found in standard multi-timeframe indicators: visual ambiguity and data inaccuracy on lower timeframes. 1. Point-to-Right Origin (Time-Based Coordinates) Standard indicators often draw a horizontal line from the start of the day/week. This obscures when the high or low was actually made. Our Solution: Feta Floors iterates through historical data to find the precise timestamp (down to the millisecond) of the Period High or Low. It draws the line starting exactly from that candle. This lets you visually backtest whether a level was created during the AM session, PM session, or overnight. Technical Detail: We utilize xloc.bar_time rather than bar_index. This is crucial for avoiding the "Bar index too far" error that plagues other scripts when viewing 1-minute charts over long periods (weeks or months back). 2. "True RTH" Calculation (Smart Session Filtering) Many traders use "Extended Trading Hours" (ETH) on their charts but only want levels based on "Regular Trading Hours" (RTH) data. The Problem: If you simply request security(..., "D", ...) on an ETH chart, Pine Script often includes pre-market data in the Daily High/Low. Our Solution: This script includes a robust "Force RTH" engine. When enabled, it manually filters every tick of data. It will ignore a new high if it occurred at 8:00 AM, waiting until 9:30 AM (or your exchange's open) to start tracking. This ensures your "Daily High" is the true RTH high, even if your chart shows pre-market action. 3. Dynamic Label Stacking When price compresses, multiple levels (e.g., Previous Day High and Previous Weekly High) can overlap, making labels unreadable. Our Solution: The script employs a custom variance algorithm. It collects all active levels for the current tick, sorts them by price, and detects if they are within a 5-tick proximity. If they are, it merges them into a single, clean label (e.g., "PDH / PWH") to maintain chart readability. ⚙️ Features & Settings Period Tracking: Daily: Previous Day High (PDH) / Low (PDL) Weekly: Previous Week High (PWH) / Low (PWL) Monthly: Previous Month High (PMH) / Low (PML) Quarterly: Previous Quarter High (PQH) / Low (PQL) Specific Day: Track highs/lows of a specific day of the week (e.g., "Monday Range"). Appearance: Customize line style (Solid, Dashed, Dotted), width, and colors for each timeframe independent of the others. 🚫 Justification for Closed Source This script relies on a custom-built PeriodTracker type and complex loop logic to handle time-based coordinate systems and manual session filtering that standard Pine Script request.security() functions cannot achieve natively with this level of precision. The source code contains proprietary methods for handling array-based label sorting and overlap avoidance which are unique to our workflow.
อินดิเคเตอร์ Pine Script®
โดย DeepChz
2
Super Indicator by ShahedShort Description (one‑liner) Trend‑gated line‑breakout system for 1D charts: buy breakouts + pullback buys, ATR‑buffered stops, long target & volume‑scaled target, PDL/PDH and liquidity stats, with a light green/red background for trend. Full Description What this script does Finds buy opportunities on a line chart (close): Recent High Breakout (tiny green dot) Pullback Buy after a confirmed swing‑high break → 3–7 lower closes, then a bullish bar (tiny black dot) Flags sells only for context: Recent Low Breakout and Swing‑Low Break (tiny red dots) Applies trend gating: Signals only plot when the background is light green, i.e., when SMA20 > SMA50, SMA150, and SMA200 Background turns light red when the condition fails (no signals in red regime) Uses ATR‑buffered stops and targets: Long ATR Stop = last swing low − (ATR × multiplier) Long Target (R multiple) = entry + RR × (entry − ATR stop) Volume Target = entry + (ATR × base multiplier × Relative Volume) (Relative Volume = Today’s daily volume ÷ 30‑day average daily volume, capped between user‑defined min/max) Shows a compact, relocatable info panel (no drag—choose corner in settings): Long Stop (ATR), Short Stop (ATR) PDL (previous day low), PDH (previous day high) Today’s Volume (Millions) Avg Turnover (30‑day, Crores) Long Target, Volume Target Relative Volume (x) Draws a horizontal line at the current Long Target, automatically updating on new long entries (extends to the right). Why it’s useful Simple entries on the close (line chart) with objective structure (swing confirmation). Trend alignment by design (light green background required for signals). Risk-aware: stops use ATR buffers off confirmed swing lows/highs. Liquidity-aware: targets flex with relative volume. Clean visual layer: tiny dots, light background, compact panel. Signals & Logic (plain language) Buy (Breakout): close crosses above the recent high (lookback N). Buy (Pullback): after a swing‑high break, count 3–7 consecutive lower closes, then on the next bullish bar → buy. Sell (Context): recent low breakout or a break below the most recent swing low. Trend filter: all signals only print when SMA20 > SMA50, SMA150, SMA200 (background light green). Note: Swings use pivotlow/pivothigh on close to match a line chart. Pivots confirm after swRight bars, making stops stable (but slightly delayed). Table / Panel (what you see) Long Stop (ATR) and Short Stop (ATR) PDL / PDH (from daily timeframe) Vol Today (M) and Avg Turn 30D (Cr) Long Target (R) and Volume Target Rel Vol (x) (today’s daily volume ÷ 30D average volume) You can change the panel position via Panel Position (Top‑Left / Top‑Right / Bottom‑Left / Bottom‑Right). Inputs (key) Breakout Lookback and Repaint‑safe recent levels toggle Swing Left/Right (pivot confirmation) ATR Length and ATR Multiplier RR for Long Target (e.g., 2.0R) Volume Target base ATR Multiplier, RelVol floor/ceiling Panel Position, Panel Transparency Show Target Line, color, width Enable Pullback Buy, LL min/max, Require bullish bar Show Text Labels (BUY/SELL) Alerts BUY – Recent High Broken SELL – Recent Low Broken SELL – Swing Low Broken BUY – Pullback after Swing High Break Alerts only fire when the background is green (trend up condition). Best‑practice tips This is tuned for Daily charts. For intraday, consider adjusting: Swing Left/Right (e.g., 1–2 for faster swings) ATR Multiplier (e.g., 0.5–1.0 intraday; 1.0–1.5 if noisy) RR (start with 1.0–1.5, then explore 2.0) If you want the Volume Target to matter more or less, adjust Vol Target Base ATR Multiplier and RelVol caps. Limitations & notes No repainting of signals: pivots are confirmed before being used for stops/pullback logic. Relative Volume uses daily volumes. On non‑daily charts, values still come from the daily timeframe to stay consistent. No manual drag for the panel (Pine v4 limitation). Use the corner selector. How to present screenshots 1D chart with: Light green background, green/red dots, a black pullback buy dot. Panel in a corner (e.g., Bottom Right). Target line drawn and extending right. One screenshot with a marked pullback sequence (3–7 lower closes) and the following bullish bar entry. Suggested Tags breakout, swing, ATR, trend, volume, relative-volume, PDL, PDH, targets, risk-management, line-chart Disclaimer This script is for educational purposes. Not financial advice. Trading involves risk. Always validate on your timeframe and instruments, and combine with your execution and risk rules.
อินดิเคเตอร์ Pine Script®
โดย Shahed9989
Adaptive EMA Selector Neo Fast by TheTradingSmurf Adaptive EMA Selector Neo Fast is a dynamic moving average selector designed for fast intraday and scalping conditions. It continuously evaluates a predefined EMA pool and automatically displays the EMA most respected by price as the Entry EMA, plus a higher timeframe Stop EMA with an ATR based buffer. The script adapts quickly using regime blending and volatility normalization, includes a futuristic dashboard, optional on chart labels, and cross fill visualization for EMA relationships. Built by TheTradingSmurf.
อินดิเคเตอร์ Pine Script®
โดย TheTraderSmurf
Adaptive HMA [NON-REPAINTING]The Adaptive HMA is a sophisticated trend-following indicator designed for traders who demand reliability and precision. Unlike traditional moving averages with fixed periods, this indicator automatically adjusts its sensitivity to match current market conditions while maintaining complete non-repainting integrity. Key Features ✓ 100% Non-Repainting Once a bar closes, the indicator values are locked and will never change. This ensures you can backtest accurately and trade with confidence - what you see is what you get. Dynamic Length Optimization The indicator continuously monitors market performance and adapts its Hull Moving Average length to optimize for current conditions. During trending markets, it adjusts for trend-following. During choppy markets, it recalibrates to reduce whipsaws. Visual Clarity Color-coded HMA line: Green for bullish trends, red for bearish trends HMA Envelope: High/Low bands show price channel and volatility Trend strength indicators: Background shading highlights strong trending conditions Optimization markers: Yellow arrows show when the system recalibrates Comprehensive Performance Dashboard The built-in information table displays: Current locked HMA length Optimization cycle progress Trend direction and strength (Strong Bull/Bear/Neutral) HMA velocity (momentum indicator) Performance score Win rate and profit factor from internal backtesting Total optimization cycles completed How To Use Trend Identification: Follow the color of the HMA line. Green = bullish bias, Red = bearish bias. Entry Signals: Look for HMA color changes combined with strong trend background shading. The indicator shows "STRONG BULL" or "STRONG BEAR" when momentum confirms direction. Risk Management: Use the HMA envelope (high/low bands) as dynamic support/resistance levels and potential stop-loss placement zones. Timeframe Confirmation: The system works on any timeframe. Many traders use it on multiple timeframes for confluence. Customizable Settings Optimization Window: Control how often the system recalibrates (default: 50 bars) Min/Max HMA Length: Set the adaptive range (default: 10-100) Display Options: Toggle envelope, optimization markers, and background shading Color Schemes: Fully customizable colors for bullish/bearish/neutral conditions Who Is This For? Swing Traders: Identify and ride medium-term trends with confidence Day Traders: Spot intraday momentum shifts and strong directional moves Position Traders: Filter out noise and focus on major trend changes System Developers: Use as a core trend filter in automated strategies What Makes It Different? Most adaptive indicators repaint - meaning their historical values change as new data comes in, making backtesting unreliable. This indicator uses a locked optimization window approach: once the HMA length is set, it stays fixed for a predetermined number of bars. This ensures complete historical accuracy while still adapting to evolving market dynamics. Alert System Built-in alerts notify you of: Optimization cycles (when new length is locked) Strong bullish/bearish trend detection Custom conditions you can configure Important Note: This indicator is a technical analysis tool. It does not guarantee profitable trades. Always use proper risk management and combine with your own analysis and trading plan.
อินดิเคเตอร์ Pine Script®
โดย akhlaque16g55
Dynamic Power Z-Score [D-PZS]Dynamic Power Z-Score This indicator is a momentum tool designed to identify market reversal points with high precision. It combines internal price strength ("Power") with statistical analysis to detect overbought and oversold conditions. Methodology The script calculates the internal strength of price action and smooths it using a Double Exponential Moving Average (DEMA). It features an adaptive mechanism that adjusts the calculation period based on market volatility. Finally, it uses a Z-Score formula to normalize the data and generate signals. Signals (Reversed Color Logic) This version uses specific colors to highlight market extremes: - Green Circle (Above Bar): Indicates the market is Overbought (Z-Score > 2.0). Potential Short/Sell area. - Red Circle (Below Bar): Indicates the market is Oversold (Z-Score < -2.0). Potential Long/Buy area. No Repainting This indicator does not repaint. Signals are confirmed only after the candle closes. Once a circle appears, it is permanent. Protected Script Warning This is a closed-source script protected by intellectual property rights. The underlying adaptive algorithm and code structure are proprietary. Reverse engineering or unauthorized distribution is prohibited. Disclaimer: For educational purposes only.
อินดิเคเตอร์ Pine Script®
โดย hotelfinnwittrock