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Event High/Mid/LowEvent High/Mid/Low - Data Release Level Tracker Automatically track and visualize high, low, and mid levels from major data events like FOMC announcements, CPI releases, NFP reports, and other market-moving data releases. KEY FEATURES: - Customizable event input - Add unlimited events using a simple text format - Flexible time periods - Set custom duration for each event (15min, 30min, 60min, etc.) - Visual clarity - Color-coded lines and optional background cloud between high/low - Clean labels - Minimalist text labels without background boxes - Fully customizable - Toggle lines, labels, and clouds on/off independently HOW TO USE: 1. Add the indicator to your chart 2. Open settings and edit the "Event Dates" text area 3. Enter one event per line in this format: YYYY-MM-DD HH:MM Minutes Label Example: 2025-01-29 14:00 30 Jan FOMC Example: 2025-02-12 08:30 30 Feb CPI 4. The indicator will automatically capture and display the high, low, and mid levels WHAT IT DISPLAYS: - High line (teal) - Highest price during the event period - Low line (pink) - Lowest price during the event period - Mid line (yellow, dotted) - Midpoint between high and low - Background cloud (optional) - Shaded area between high and low - Event window highlighting - Orange background during active events PERFECT FOR: - Tracking key support/resistance levels from economic releases - Planning entries/exits around FOMC, CPI, NFP, and other data - Analyzing how price reacts to major announcements - Identifying post-event trading ranges SUPPORTED EVENTS: Works with any scheduled economic release - FOMC, CPI, PPI, NFP, Retail Sales, GDP, and more. Simply input the date, time, duration, and a custom label. IMPORTANT LIMITATIONS: - Chart timeframe must be EQUAL TO OR SMALLER than event duration - For 30-minute events: Use 30min, 15min, 5min, 1min charts (NOT 1H, 4H, Daily) - For 60-minute events: Use 60min, 30min, 15min, 5min, 1min charts - For 15-minute events: Use 15min, 5min, 1min charts - If your chart timeframe is larger than the event duration, the indicator may not capture accurate high/low values - Recommended: Use 5-minute or 1-minute charts for maximum accuracy on all event durations NOTES: - All times are in EST/EDT (America/New_York timezone) - Comments starting with # are ignored, making it easy to organize and annotate your event list - The indicator processes events only after the specified duration has elapsed
Indicador Pine Script®
por yjchen88
chanlun缠论 - 笔与中枢Overview The Chanlun (缠论) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (笔) and "central hubs" (中枢), providing traders with a systematic framework for understanding price movements, trend structure, and potential reversal zones. Theoretical Foundation Chan Theory is a sophisticated price action methodology that breaks down market movements into hierarchical structures: Local Extremes: Swing highs and lows identified through lookback periods Strokes (笔): Valid price movements between opposite extremes that meet specific criteria Central Hubs (中枢): Consolidation zones formed by overlapping strokes, representing key support/resistance areas Key Components 1. Local Extreme Detection Identifies swing highs and lows using a configurable lookback period (default: 5 bars) Only considers extremes within the specified calculation range Forms the foundation for stroke construction 2. Stroke (笔) Identification The indicator applies a multi-stage filtering process to identify valid strokes: Stage 1 - Extreme Consolidation: Merges consecutive extremes of the same type (high or low) Keeps only the most extreme value (highest high or lowest low) Stage 2 - Stroke Validation: Ensures minimum bar gap between strokes (default: 4 bars) Alternative validation: 2+ bars with >1% price change Eliminates noise and insignificant price movements Color Coding: White Lines: Regular up/down strokes Yellow Lines: Strokes that form part of a central hub Customizable width and colors for different stroke types 3. Central Hub (中枢) Formation A central hub forms when at least 3 consecutive strokes have overlapping price ranges: Formation Rules: Stroke 1: Stroke 2: Stroke 3: Hub Upper = MIN(High1, High2, High3) Hub Lower = MAX(Low1, Low2, Low3) Valid if: Hub Upper > Hub Lower Hub Extension: Subsequent strokes that overlap with the hub extend it Hub ends when a stroke no longer overlaps Creates rectangular zones on the chart Visual Representation: Green rectangular boxes: Mark the time and price range of each central hub Dashed extension lines: Show the latest hub boundaries extending to the right Price labels on axis: Display exact hub upper and lower boundary values 4. Extreme Point Markers (Optional) Red markers for tops (▼) Green markers for bottoms (▲) Marks every validated stroke extreme point Useful for detailed structure analysis 5. Information Table (Optional) Displays real-time statistics: Symbol name Current timeframe Lookback period setting Minimum gap setting Total stroke count Parameter Settings Performance Settings Max Bars to Calculate (3600): Limits historical calculation to improve performance Local Extreme Lookback Period (5): Bars used to identify swing highs/lows Min Gap Bars (4): Minimum bars required between valid strokes Display Settings Show Strokes: Toggle stroke line visibility Show Central Hub: Toggle hub box visibility Show Hub Extension Lines: Toggle dashed boundary lines Show Extreme Point Marks: Toggle top/bottom markers Show Info Table: Toggle statistics table Color Settings Full customization of: Up/down stroke colors and widths Hub stroke colors and widths Hub border and background colors Extension line colors Trading Applications Trend Structure Analysis Uptrend: Series of higher highs and higher lows connected by strokes Downtrend: Series of lower highs and lower lows connected by strokes Consolidation: Formation of central hubs indicating range-bound movement Support and Resistance Identification Central Hub Zones: Act as strong support/resistance areas Hub Upper Boundary: Resistance level in consolidation, support after breakout Hub Lower Boundary: Support level in consolidation, resistance after breakdown Price tends to react at these levels due to market structure memory Breakout Trading Bullish Breakout: Price closes above hub upper boundary Previous resistance becomes support Entry on retest of upper boundary Stop loss below hub zone Bearish Breakdown: Price closes below hub lower boundary Previous support becomes resistance Entry on retest of lower boundary Stop loss above hub zone Reversal Detection Hub Formation After Trend: Signals potential trend exhaustion Multiple Hub Levels: Create probability zones for reversals Stroke Count: Excessive strokes within hub suggest weakening momentum Position Management Use hub boundaries for stop loss placement Scale out positions at hub edges Re-enter on retests of broken hub levels Interpretation Guide Strong Trending Market Long, clear strokes with minimal overlap Few or no central hubs forming Strokes consistently in same direction Wide spacing between extremes Consolidating Market Multiple central hubs forming Short, overlapping strokes Yellow hub strokes dominate the chart Narrow price range Trend Transition Hub formation after extended trend Stroke direction changes frequently Hub boundaries being tested repeatedly Potential reversal zone Advanced Usage Techniques Multi-Timeframe Analysis Higher Timeframe: Identify major hub zones for overall market structure Lower Timeframe: Find precise entry points within larger structure Alignment: Trade when lower timeframe strokes align with higher timeframe hub breaks Hub Quality Assessment Wide Hubs: Strong consolidation, higher probability support/resistance Narrow Hubs: Weak consolidation, may break easily Extended Hubs: More strokes = stronger zone Isolated Hubs: Single hub = potential pivot point Stroke Analysis Stroke Length: Longer strokes = stronger momentum Stroke Speed: Fewer bars per stroke = explosive moves Stroke Clustering: Many short strokes = indecision Best Practices Parameter Optimization Adjust lookback period based on timeframe and volatility Lower periods (3-4): More strokes, more noise, faster signals Higher periods (7-10): Fewer strokes, cleaner structure, slower signals Confirmation Strategy Don't trade on strokes alone Combine with volume analysis Use candlestick patterns at hub boundaries Wait for breakout confirmation Risk Management Always place stops outside hub zones Use hub width to size positions (wider hub = smaller position) Exit if price re-enters broken hub from wrong direction Avoid Common Pitfalls Don't trade within central hubs (range-bound, unpredictable) Don't ignore higher timeframe hub structures Don't chase strokes after they've extended far from hub Don't trust single-stroke hubs (need 3+ strokes for validity) Performance Considerations Max Bars Limit: Set to 3600 to balance detail with performance Safe Distance Calculation: Only draws objects within 2000 bars of current price Object Cleanup: Automatically removes old drawing objects to prevent memory issues Efficient Arrays: Uses indexed arrays for fast lookup and processing Ideal Market Conditions Best Performance: Liquid markets with clear structure (major forex pairs, indices, large-cap stocks) Trending markets with periodic consolidations Medium to high volatility for clear stroke formation Less Effective: Extremely choppy, directionless markets Very low timeframes (< 5 minutes) with excessive noise Illiquid instruments with erratic price action Integration with Other Indicators Complementary Tools: Volume Profile: Confirm hub significance with volume nodes Moving Averages: Use for trend bias within stroke structure RSI/MACD: Momentum confirmation at hub boundaries Fibonacci Retracements: Hub levels often align with Fib levels Advantages ✓ Objective Structure: Removes subjectivity from market structure analysis ✓ Visual Clarity: Color-coded strokes and clear hub zones ✓ Multi-Timeframe Applicable: Works on all timeframes from minutes to months ✓ Complete Framework: Provides entry, exit, and risk management levels ✓ Theoretical Foundation: Based on proven Chan Theory methodology ✓ Customizable: Extensive parameter and visual customization options Limitations ⚠ Learning Curve: Requires understanding of Chan Theory principles ⚠ Lag Factor: Strokes confirm after price movements complete ⚠ Parameter Sensitivity: Different settings produce significantly different results ⚠ Choppy Market Struggles: Can generate excessive hubs in range-bound conditions ⚠ Computation Intensive: May slow down on lower-end systems with max bars setting Optimization Tips Timeframe Selection Scalping: 5-15 minute charts, lookback period 3-4 Day Trading: 15-60 minute charts, lookback period 4-5 Swing Trading: 4-hour to daily charts, lookback period 5-7 Position Trading: Daily to weekly charts, lookback period 7-10 Volatility Adjustment High volatility: Increase minimum gap bars to reduce noise Low volatility: Decrease lookback period to capture smaller moves Visual Optimization Use contrasting colors for different market conditions Adjust line widths based on chart resolution Toggle markers off for cleaner appearance once familiar with structure Quick Start Guide For Beginners: Start with default settings (5 lookback, 4 min gap) Enable "Show Info Table" to track stroke count Focus on identifying clear hub formations Practice waiting for price to break hub boundaries before trading For Advanced Users: Optimize lookback and gap parameters for your instrument Use hub strokes (yellow) to identify key consolidation zones Combine with multiple timeframes for confirmation Develop entry rules based on hub breakout/retest patterns This indicator provides a complete structural framework for understanding market behavior through the lens of Chan Theory, offering traders a systematic approach to identifying high-probability trading opportunities.
Indicador Pine Script®
por nozhizhi
VWAP – Pivot Pairs (SECONDS‑BASED RESET)VWAP – Pivot Pairs (SECONDS-BASED RESET) is a Pine Script v6 indicator for TradingView that combines pivot-based breakout detection with resettable VWAP (Volume Weighted Average Price) calculations over user-defined rolling time periods in seconds.It identifies high and low swing pivots via breakout logic, then calculates two VWAP lines per anchor:One using high/low as the price source, One using close as the price source. These form "pivot pairs" that reset automatically at the start of each custom-duration period (e.g., every 300 seconds), starting from a user-defined UTC time of day (default: 09:30 UTC).Visuals include:Colored VWAP lines (high pair: red, low pair: green), Semi-transparent fill zones between each pair, Optional toggles to show/hide high or low pairs. Use CasesUse Case Description Intraday Scalping (1–15 min charts) Use 60–300 second resets to capture micro-trends within larger sessions. VWAP pairs act as dynamic support/resistance after breakouts. High-Frequency / Algo Validation Backtest strategies on tick/second charts where traditional session resets fail. Align resets with exchange micro-sessions or volatility windows. Opening Range Breakout (ORB) Enhancement Set period_seconds = 1800 (30 min) and start time = 09:30 UTC → VWAP builds only on first 30 mins post-open, then floats. Pairs show deviation from ORB mean. Range-Bound Market Analysis In choppy markets, VWAP pairs converge near fair value. Divergence signals potential breakout. Fill color intensity shows conviction. Multi-Timeframe Confluence Overlay on 1-second chart with 300s reset → matches 5-minute structure. Use close-based VWAP for entries, high/low-based for stops. Key Features SummaryFeature Function period_seconds Rolling window length in seconds (e.g., 300 = 5 min) period_start_time UTC time-of-day anchor (default: 09:30) new_period logic Triggers full reset of pivots + VWAP on exact second boundary breakingHigher / breakingLower Detects confirmed breakouts (not just close above high) Dual VWAP per anchor ta.vwap(high) and ta.vwap(close) for range-aware mean Fill zones Visual value area between high/close VWAPs Toggle visibility Independently show/hide high or low pivot pairs How It Works – Step-by-StepTime Engine Converts user inputs → milliseconds Calculates current period start time using integer division from epoch Detects exact bar when new period begins (new_period = true) On New Period Resets both high/low anchors to current bar’s h and l Forces VWAP recalculation from this bar forward Breakout Detection Only triggers on strong candles (rising/falling, non-doji) Requires open/close beyond prior pivot → avoids wicks-only breaks VWAP Accumulation ta.vwap(source, reset_condition) restarts when anchor resets Two sources per side → shows where volume clustered (at highs vs closes) Plotting Four lines + two fills Clean, customizable, overlay-friendly Pro TipsUse on Heikin Ashi for smoother breakout signals. Combine with volume profile to validate VWAP clusters. For crypto, set period_start_time = 0 (00:00 UTC) for clean 4-hour resets. Add alerts on new_period or breakingHigher for automation. In short: This is a precision VWAP tool for time-boxed, pivot-driven mean reversion and breakout trading, ideal for scalpers, day traders, and algo developers needing sub-session granularity.
Indicador Pine Script®
por surfchaser
SMC Clean: Structure + LiquidityThis indicator provides Smart Money Concepts (SMC) tools designed to help traders analyze market structure, liquidity pools, and institutional trading zones. It combines several popular SMC methods into one powerful, customizable tool, with a clean and controlled chart display. Features and How it Works: Swing Highs and Lows: The indicator identifies confirmed swing highs and swing lows using a lookback period (default: 15 bars). These points form the basis for market structure analysis. Equal Highs/Equal Lows (EQH/EQL): When price action creates repeated swing highs or lows within a defined tolerance, the tool automatically marks these areas as potential liquidity pools. These are levels where multiple stop orders may accumulate, sometimes leading to significant market moves. Liquidity Lines & Sweeps: Liquidity lines highlight unswept highs and lows, making it easy to see where price may hunt liquidity. When price crosses a swing high/low and closes back, a sweep label is shown (optional). BOS/CHOCH Detection: Break of Structure (BOS): Signals a continuation of the current trend if price closes beyond the previous swing point. Change of Character (CHOCH): Highlights when price reverses and breaks a key swing from the opposite direction, hinting at a potential trend change or shift in market regime. Only confirmed swing points are considered to avoid repainting. Premium & Discount Zones Explained: After a new confirmed swing high and swing low, the area between them forms a “range.” The premium zone is the upper half (from midpoint to swing high): this is typically considered where price is “expensive” or overvalued for the current swing, and is often watched for potential sell setups. The discount zone is the lower half (from swing low to midpoint): this is where price is “cheap” or undervalued for the current swing, commonly monitored for potential buy setups. Colored boxes mark these zones on your chart for instant reference. Dashboard (Movable Position): A visually enhanced dark-themed dashboard shows the current market structure (Bullish/Bearish), liquidity bias (Buy-Side, Sell-Side, or Balanced, based on unswept levels), and last swept side (i.e., which liquidity pool was last taken by price). Dashboard position can be set anywhere on your chart for best visibility. Customization Options: Enable/disable any feature individually for a cleaner chart. Control colors, transparency, and swing sensitivity via user settings. How to Use: Add the indicator to your chart and adjust settings to fit your trading style. Use swing lines and dashboard to determine current market structure and bias. Watch equal highs/lows and liquidity lines for possible sweep events. Use the premium/discount zones to locate optimal areas for trade entries—with institutional logic, buy when price reaches the discount (lower) zone, and look for sales in the premium (upper) zone. Use BOS/CHOCH signals as objective confirmations of trend or regime changes. Always interpret signals in context of broader price action. Important Notes: This indicator is educational and analytical—NO signals are guaranteed. All calculations are non-repainting and use only confirmed price data (no lookahead). No claims of predicting future price movement or performance are made. Disclaimer: This tool is for technical analysis education only. It is not a financial advice nor a guaranteed trading system. Please test all signals and concepts before using in live markets.
Indicador Pine Script®
por darshakssc
iFVG Strategie by Futures.RobbyiFVG Strategy Checklist by Futures.Robby Updated: October 27, 2025 Description This script is a manual checklist designed to help traders evaluate their setups based on the iFVG (Fair Value Gap) strategy. It serves solely as a visual aid and does not perform automatic analysis, signal generation, or trade execution. How It Works The script creates an interactive checklist directly on the chart. Traders manually select which criteria are met, and the script calculates a percentage score, displaying it with color coding: Green (≥ 60%): Good fulfillment of criteria Orange (40–59%): Partial fulfillment Red (< 40%): Poor fulfillment Checklist Criteria The checklist is divided into two main sections: 1. Trade Criteria (8 Points) Eight manually selectable criteria to assess setup quality: Trade im Bias → Trade in Bias: Trade follows the higher timeframe trend (H1/H4/Daily). BE Level → BE Level: Swing point between entry and target. Sweep → Sweep: Price hits a key swing before reversing. Displacement → Displacement: iFVG broken by strong candles. Leg FVG geschlossen → Leg FVG Closed: No open m1 to m5 FVGs to target. FVG Reaktion → FVG Reaction: Reaction at FVG during sweep (HTF). FVG Größe → FVG Size: 6 to 10 points. Anzahl Kerzen → Number of Candles: Maximum of 6 candles. 2. Goals (1 Point) Six optional goal conditions, counted together as 1 point: Equal H / L → Equal High/Low Session H / L → Session High/Low News H / L → News High/Low HTF Swing Point → HTF Swing Point HTF OB → HTF Order Block HTF FVG → HTF FVG Settings and Customization The script’s settings are translated as follows: Group: Trade Criteria Trade im Bias → Trade in Bias Tooltip: Trendrichtung folgt HTF (H1/H4/Täglich) – Trend follows HTF direction BE Level → BE Level Tooltip: Swingpunkt zwischen Einstieg und Ziel – Swing point between entry and target Sweep → Sweep Tooltip: Kurs erreicht markanten Swing – Price hits key swing before inverse Displacement → Displacement Tooltip: iFVG durch starke Kerzen gebrochen – iFVG broken by strong candles Leg FVG geschlossen → Leg FVG Closed Tooltip: Keine offenen m1 bis m5 FVGs bis Ziel – No open m1 to m5 FVGs to target FVG Reaktion → FVG Reaction Tooltip: Reaktion an FVG beim Sweep (HTF) – Reaction at FVG during sweep (HTF) FVG Größe → FVG Size Tooltip: 6 bis 10 Punkte – 6 to 10 points Anzahl Kerzen → Number of Candles Tooltip: Maximal 6 Kerzen – Maximum of 6 candles Group: Goals Equal H / L → Equal High/Low Session H / L → Session High/Low News H / L → News High/Low HTF Swing Point → HTF Swing Point HTF OB → HTF Order Block HTF FVG → HTF FVG ℹ️ Ziele zählen gemeinsam als 1 Punkt → ℹ️ Goals count together as 1 point Window Position & Size Fensterposition → Window Position oben rechts → top right oben links → top left unten rechts → bottom right unten links → bottom left Tabellengröße → Table Size normal → normal small → small tiny → tiny Translation of Chart Table Contents The table headers and entries on the chart are translated as follows: Table Headers: Trade Checkliste → Trade Checklist Ziele → Goals Status Symbols: ✅ → ✅ (Fulfilled) ❌ → ❌ (Not fulfilled) Individual Criteria (Trade Criteria): Trade im Bias → Trade in Bias BE Level → BE Level Sweep → Sweep Displacement → Displacement Leg FVG geschlossen → Leg FVG Closed FVG Reaktion → FVG Reaction FVG Größe → FVG Size Anzahl Kerzen → Number of Candles Individual Criteria (Goals): Equal H / L → Equal High/Low Session H / L → Session High/Low News H / L → News High/Low HTF Swing Point → HTF Swing Point HTF OB → HTF Order Block HTF FVG → HTF FVG Note Line: Ziele zählen gemeinsam als 1 Punkt → Goals count together as 1 point Important Note This tool is not an automated indicator, but a visual decision aid for traders who want to apply their strategy in a structured and conscious way.
Indicador Pine Script®
por kp_eu_de
Fib OscillatorWhat is Fib Oscillator and How to Use it? 🔶 1. Conceptual Overview The Fib Oscillator is a Fibonacci-based relative position oscillator. Instead of measuring momentum (like RSI or MACD), it measures where price currently sits between the recent swing high and swing low, expressed as a percentage within the Fibonacci range. In other words: It answers: “Where is price right now within its most recent dynamic range?” It visualizes retracement and extension zones numerically, providing continuous feedback between 0% and 100% (and beyond if extended). 🔶 2. What the Script Does The indicator: Automatically detects recent high and low levels using an adaptive lookback window, which depends on ATR volatility. Calculates the current price’s position between those levels as a percentage (0–100). Plots that percentage as an oscillator — showing visually whether price is near the top, middle, or bottom of its recent range. Overlays Fibonacci retracement levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) as reference zones. Generates alerts when the oscillator crosses key Fib thresholds — which can signal retracement completion, breakout potential, or pullback exhaustion. 🔶 3. Technical Flow Breakdown (a) Inputs Input Description Default Notes atrLength ATR period used for volatility estimation 14 Used to dynamically tune lookback sensitivity minLookback Minimum lookback window (candles) 20 Ensures stability even in low volatility maxLookback Maximum lookback window 100 Limits over-expansion during high volatility isInverse Inverts chart orientation false Useful for inverse markets (e.g. shorts or inverse BTC view) (b) Volatility-Adaptive Lookback Instead of using a fixed lookback, it calculates: lookback = SMA(ATR,10) / SMA(Close,10) × 500 lookback=SMA(ATR,10)/SMA(Close,10)×500 Then it clamps this between minLookback and maxLookback. This makes the oscillator: More reactive during high volatility (shorter lookback) More stable during calm markets (longer lookback) Essentially, it self-adjusts to market rhythm — you don’t have to constantly tweak lookback manually. (c) High-Low Reference Points It takes the highest and lowest points within the dynamic lookback window. If isInverse = true, it flips the candle logic (useful if viewing inverse instruments like stablecoin pairs or when analyzing bearish setups invertedly). (d) Oscillator Core The main oscillator line: osc = ( close − low ) ( high − low ) × 100 osc= (high−low) (close−low) ​ ×100 0% = Price is at the lookback low. 100% = Price is at the lookback high. 50% = Midpoint (balanced). Between Fibonacci percentages (23.6%, 38.2%, 61.8%, etc.), the oscillator indicates retracement stages. (e) Fibonacci Levels as Reference It overlays horizontal reference lines at: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100% These act as support/resistance bands in oscillator space. You can read it similar to how traders use Fibonacci retracements on charts, but compressed into a single line oscillator. (f) Alerts The script includes built-in alert conditions for crossovers at each major Fibonacci level. You can set TradingView alerts such as: “Oscillator crossed above 61.8%” → possible bullish continuation or breakout. “Oscillator crossed below 38.2%” → possible pullback or correction starting. This allows automated monitoring of fib retracement completions without manually drawing fib levels. 🔶 4. How to Use It 🔸 Visual Interpretation Oscillator Value Zone Market Context 0–23.6% Deep Retracement Potential exhaustion of a down-move / early reversal 23.6–38.2% Shallow retracement zone Possible continuation phase 38.2–50% Mid retracement Neutral or indecisive structure 50–61.8% Key pivot region Common trend resumption zone 61.8–78.6% Late retracement Often “last pullback” area 78.6–100% Near high range Possible overextension / profit-taking >100% Range breakout New leg formation / expansion 🔸 Practical Application Steps Load the indicator on your chart (set overlay = false, so it’s below the main price chart). Observe oscillator position relative to fib bands: Use it to determine retracement depth. Combine with structure tools: Trend lines, swing points, or HTF market structure. Use crossovers for timing: Crossing above 61.8% in an uptrend often confirms breakout continuation. Crossing below 38.2% in a downtrend signals renewed downside momentum. For range markets, oscillator swings between 23.6% and 78.6% can define accumulation/distribution boundaries. 🔶 5. When to Use It During Retracements: To gauge how deep the pullback has gone. During Range Markets: To identify relative overbought/oversold positions. Before Breakouts: Crossovers of 61.8% or 78.6% often precede impulsive moves. In Multi-Timeframe Contexts: LTF (15M–1H): Detect intraday retracement exhaustion. HTF (4H–1D): Confirm major range expansions or key reversal zones. 🔶 6. Ideal Companion Indicators The Fib Oscillator works best when contextualized with structure, volatility, and trend bias indicators. Below are optimal pairings: Companion Indicator Purpose Integration Insight Market Structure MTF Tool Identify active trend direction Use Fib Oscillator only in trend direction for cleaner signals EMA Ribbon / Supertrend Trend confirmation Align oscillator crossovers with EMA bias ATR Bands / Volatility Envelope Validate breakout strength If oscillator >78.6% & ATR rising → valid breakout Volume Oscillator Confirm retracement strength Volume contraction + oscillator under 38.2% → potential reversal HTF Fib Retracement Tool Combine LTF oscillator with HTF fib confluence Powerful multi-timeframe setups RSI or Stochastic Measure momentum relative to position RSI divergence while oscillator near 78.6% → exhaustion clue 🔶 7. Understanding the Settings Setting Function Practical Impact ATR Period (14) Controls volatility sampling Higher = smoother lookback adaptation Min Lookback (20) Smallest window allowed Lower = more reactive but noisier Max Lookback (100) Largest window allowed Higher = smoother but slower to react Inverse Candle Chart Flips oscillator vertically Useful when analyzing bearish or inverse scenarios (e.g. short-side fib mapping) Recommended Configs: For scalping/intraday: ATR 10–14, lookback 20–50 For swing/position trading: ATR 14–21, lookback 50–100 🔶 8. Example Trade Logic (Practical Use) Scenario: Uptrend on 4H chart Oscillator drops to below 38.2% → retracement zone Price consolidates → oscillator stabilizes Oscillator crosses above 50% → pullback ending Entry: Long when oscillator crosses above 61.8% Exit: Near 78.6–100% zone or upon divergence with RSI For Short Bias (Inverse Setup): Enable isInverse = true to visually flip the oscillator (so lows become highs). Use the same thresholds inversely. 🔶 9. Strengths & Limitations ✅ Strengths Dynamic, self-adapting to volatility Quantifies Fib retracement as a continuous function Compact oscillator view (no clutter on chart) Works well across all timeframes Compatible with both trending and ranging markets ⚠️ Limitations Doesn’t define trend direction — must be used with structure filters Can whipsaw during choppy consolidations The “lookback auto-adjust” may lag in sudden volatility shifts Shouldn’t be used standalone for entries without structural confluence 🔶 10. Summary The “Fib Oscillator” is a dynamic Fibonacci-relative positioning tool that merges retracement theory with adaptive volatility logic. It gives traders an intuitive, quantified view of where price sits within its recent fib range, allowing anticipation of pullbacks, reversals, or breakout momentum. Think of it as a "Fibonacci RSI", but instead of momentum strength, it shows positional depth — the vibrational location of price within its natural swing cycle.
Indicador Pine Script®
por TradeMing
Hidden Impulse═══════════════════════════════════════════════════════════════════ HIDDEN IMPULSE - Multi-Timeframe Momentum Detection System ═══════════════════════════════════════════════════════════════════ OVERVIEW Hidden Impulse is an advanced momentum oscillator that combines the Schaff Trend Cycle (STC) and Force Index into a comprehensive multi-timeframe trading system. Unlike standard implementations of these indicators, this script introduces three distinct trading setups with specific entry conditions, multi-timeframe confirmation, and trend filtering. ═══════════════════════════════════════════════════════════════════ ORIGINALITY & KEY FEATURES This indicator is original in the following ways: 1. DUAL-TIMEFRAME STC ANALYSIS Standard STC implementations work on a single timeframe. This script simultaneously analyzes STC on both your trading timeframe and a higher timeframe, providing trend context and filtering out low-probability signals. 2. FORCE INDEX INTEGRATION The script combines STC with Force Index (volume-weighted price momentum) to confirm the strength behind price moves. This combination helps identify when momentum shifts are backed by genuine buying/selling pressure. 3. THREE DISTINCT TRADING SETUPS Rather than generic overbought/oversold signals, the indicator provides three specific, rule-based setups: - Setup A: Classic trend-following entries with multi-timeframe confirmation - Setup B: Divergence-based reversal entries (highest probability) - Setup C: Mean-reversion bounce trades at extreme levels 4. INTELLIGENT FILTERING All signals are filtered through: - 50 EMA trend direction (prevents counter-trend trades) - Higher timeframe STC alignment (ensures macro trend agreement) - Force Index confirmation (validates volume support) ═══════════════════════════════════════════════════════════════════ HOW IT WORKS - TECHNICAL EXPLANATION SCHAFF TREND CYCLE (STC) CALCULATION: The STC is a cyclical oscillator that combines MACD concepts with stochastic smoothing to create earlier and smoother trend signals. Step 1: Calculate MACD - Fast MA = EMA(close, Length1) — default 23 - Slow MA = EMA(close, Length2) — default 50 - MACD Line = Fast MA - Slow MA Step 2: First Stochastic Smoothing - Apply stochastic calculation to MACD - Stoch1 = 100 × (MACD - Lowest(MACD, Smoothing)) / (Highest(MACD, Smoothing) - Lowest(MACD, Smoothing)) - Smooth result with EMA(Stoch1, Smoothing) — default 10 Step 3: Second Stochastic Smoothing - Apply stochastic calculation again to the smoothed stochastic - This creates the final STC value between 0-100 The dual stochastic smoothing makes STC more responsive than MACD while being smoother than traditional stochastics. FORCE INDEX CALCULATION: Force Index measures the power behind price movements by incorporating volume: Force Raw = (Close - Close ) × Volume Force Index = EMA(Force Raw, Period) — default 13 Interpretation: - Positive Force Index = Buying pressure (bulls in control) - Negative Force Index = Selling pressure (bears in control) - Force Index crossing zero = Momentum shift - Divergences with price = Weakening momentum (reversal signal) TREND FILTER: A 50-period EMA serves as the trend filter: - Price above EMA50 = Uptrend → Only LONG signals allowed - Price below EMA50 = Downtrend → Only SHORT signals allowed This prevents counter-trend trading which accounts for most losing trades. ═══════════════════════════════════════════════════════════════════ THE THREE TRADING SETUPS - DETAILED SETUP A: CLASSIC MOMENTUM ENTRY Concept: Enter when STC exits oversold/overbought zones with trend confirmation LONG CONDITIONS: 1. Higher timeframe STC > 25 (macro trend is up) 2. Primary timeframe STC crosses above 25 (momentum turning up) 3. Force Index crosses above 0 OR already positive (volume confirms) 4. Price above 50 EMA (local trend is up) SHORT CONDITIONS: 1. Higher timeframe STC < 75 (macro trend is down) 2. Primary timeframe STC crosses below 75 (momentum turning down) 3. Force Index crosses below 0 OR already negative (volume confirms) 4. Price below 50 EMA (local trend is down) Best for: Trending markets, continuation trades Win rate: Moderate (60-65%) Risk/Reward: 1:2 to 1:3 ─────────────────────────────────────────────────────────────────── SETUP B: DIVERGENCE REVERSAL (HIGHEST PROBABILITY) Concept: Identify exhaustion points where price makes new extremes but momentum (Force Index) fails to confirm BULLISH DIVERGENCE: 1. Price makes a lower low (LL) over 10 bars 2. Force Index makes a higher low (HL) — refuses to follow price down 3. STC is below 25 (oversold condition) Trigger: STC starts rising AND Force Index crosses above zero BEARISH DIVERGENCE: 1. Price makes a higher high (HH) over 10 bars 2. Force Index makes a lower high (LH) — refuses to follow price up 3. STC is above 75 (overbought condition) Trigger: STC starts falling AND Force Index crosses below zero Why this works: Divergences signal that the current trend is losing steam. When volume (Force Index) doesn't confirm new price extremes, a reversal is likely. Best for: Reversal trading, range-bound markets Win rate: High (70-75%) Risk/Reward: 1:3 to 1:5 ─────────────────────────────────────────────────────────────────── SETUP C: QUICK BOUNCE AT EXTREMES Concept: Catch rapid mean-reversion moves when price touches EMA50 in extreme STC zones LONG CONDITIONS: 1. Price touches 50 EMA from above (pullback in uptrend) 2. STC < 15 (extreme oversold) 3. Force Index > 0 (buyers stepping in) SHORT CONDITIONS: 1. Price touches 50 EMA from below (pullback in downtrend) 2. STC > 85 (extreme overbought) 3. Force Index < 0 (sellers stepping in) Best for: Scalping, quick mean-reversion trades Win rate: Moderate (55-60%) Risk/Reward: 1:1 to 1:2 Note: Use tighter stops and quick profit-taking ═══════════════════════════════════════════════════════════════════ HOW TO USE THE INDICATOR STEP 1: CONFIGURE TIMEFRAMES Primary Timeframe (STC - Primary Timeframe): - Leave empty to use your current chart timeframe - This is where you'll take trades Higher Timeframe (STC - Higher Timeframe): - Default: 30 minutes - Recommended ratios: * 5min chart → 30min higher TF * 15min chart → 1H higher TF * 1H chart → 4H higher TF * Daily chart → Weekly higher TF ─────────────────────────────────────────────────────────────────── STEP 2: ADJUST STC PARAMETERS FOR YOUR MARKET Default (23/50/10) works well for stocks and forex, but adjust for: CRYPTO (volatile): - Length 1: 15 - Length 2: 35 - Smoothing: 8 (Faster response for rapid price movements) STOCKS (standard): - Length 1: 23 - Length 2: 50 - Smoothing: 10 (Balanced settings) FOREX MAJORS (slower): - Length 1: 30 - Length 2: 60 - Smoothing: 12 (Filters out noise in 24/7 markets) ─────────────────────────────────────────────────────────────────── STEP 3: ENABLE YOUR PREFERRED SETUPS Toggle setups based on your trading style: Conservative Trader: ✓ Setup B (Divergence) — highest win rate ✗ Setup A (Classic) — only in strong trends ✗ Setup C (Bounce) — too aggressive Trend Trader: ✓ Setup A (Classic) — primary signals ✓ Setup B (Divergence) — for entries on pullbacks ✗ Setup C (Bounce) — not suitable for trending Scalper: ✓ Setup C (Bounce) — quick in-and-out ✓ Setup B (Divergence) — high probability scalps ✗ Setup A (Classic) — too slow ─────────────────────────────────────────────────────────────────── STEP 4: READ THE SIGNALS ON THE CHART: Labels appear when conditions are met: Green labels: - "LONG A" — Setup A long entry - "LONG B DIV" — Setup B divergence long (best signal) - "LONG C" — Setup C bounce long Red labels: - "SHORT A" — Setup A short entry - "SHORT B DIV" — Setup B divergence short (best signal) - "SHORT C" — Setup C bounce short IN THE INDICATOR PANEL (bottom): - Blue line = Primary timeframe STC - Orange dots = Higher timeframe STC (optional) - Green/Red bars = Force Index histogram - Dashed lines at 25/75 = Entry/Exit zones - Background shading = Oversold (green) / Overbought (red) INFO TABLE (top-right corner): Shows real-time status: - STC values for both timeframes - Force Index direction - Price position vs EMA - Current trend direction - Active signal type ═══════════════════════════════════════════════════════════════════ TRADING STRATEGY & RISK MANAGEMENT ENTRY RULES: Priority ranking (best to worst): 1st: Setup B (Divergence) — wait for these 2nd: Setup A (Classic) — in confirmed trends only 3rd: Setup C (Bounce) — scalping only Confirmation checklist before entry: ☑ Signal label appears on chart ☑ TREND in info table matches signal direction ☑ Higher timeframe STC aligned (check orange dots or table) ☑ Force Index confirming (check histogram color) ─────────────────────────────────────────────────────────────────── STOP LOSS PLACEMENT: Setup A (Classic): - LONG: Below recent swing low - SHORT: Above recent swing high - Typical: 1-2 ATR distance Setup B (Divergence): - LONG: Below the divergence low - SHORT: Above the divergence high - Typical: 0.5-1.5 ATR distance Setup C (Bounce): - LONG: 5-10 pips below EMA50 - SHORT: 5-10 pips above EMA50 - Typical: 0.3-0.8 ATR distance ─────────────────────────────────────────────────────────────────── TAKE PROFIT TARGETS: Conservative approach: - Exit when STC reaches opposite level - LONG: Exit when STC > 75 - SHORT: Exit when STC < 25 Aggressive approach: - Hold until opposite signal appears - Trail stop as STC moves in your favor Partial profits: - Take 50% at 1:2 risk/reward - Let remaining 50% run to target ─────────────────────────────────────────────────────────────────── WHAT TO AVOID: ❌ Trading Setup A in sideways/choppy markets → Wait for clear trend or use Setup B only ❌ Ignoring higher timeframe STC → Always check orange dots align with your direction ❌ Taking signals against the major trend → If weekly trend is down, be cautious with longs ❌ Overtrading Setup C → Maximum 2-3 bounce trades per session ❌ Trading during low volume periods → Force Index becomes unreliable ═══════════════════════════════════════════════════════════════════ ALERTS CONFIGURATION The indicator includes 8 alert types: Individual setup alerts: - "Setup A - LONG" / "Setup A - SHORT" - "Setup B - DIV LONG" / "Setup B - DIV SHORT" ⭐ recommended - "Setup C - BOUNCE LONG" / "Setup C - BOUNCE SHORT" Combined alerts: - "ANY LONG" — fires on any long signal - "ANY SHORT" — fires on any short signal Recommended alert setup: - Create "Setup B - DIV LONG" and "Setup B - DIV SHORT" alerts - These are the highest probability signals - Set "Once Per Bar Close" to avoid false alerts ═══════════════════════════════════════════════════════════════════ VISUALIZATION SETTINGS Show Labels on Chart: Toggle on/off the signal labels (green/red) Disable for cleaner chart once you're familiar with the indicator Show Higher TF STC: Toggle the orange dots showing higher timeframe STC Useful for visual confirmation of multi-timeframe alignment Info Panel: Cannot be disabled — always shows current status Positioned top-right to avoid chart interference ═══════════════════════════════════════════════════════════════════ EXAMPLE TRADE WALKTHROUGH SETUP B DIVERGENCE LONG EXAMPLE: 1. Market Context: - Price in downtrend, below 50 EMA - Multiple lower lows forming - STC below 25 (oversold) 2. Divergence Formation: - Price makes new low at $45.20 - Force Index refuses to make new low (higher low forms) - This indicates selling pressure weakening 3. Signal Trigger: - STC starts turning up - Force Index crosses above zero - Label appears: "LONG B DIV" 4. Trade Execution: - Entry: $45.50 (current price at signal) - Stop Loss: $44.80 (below divergence low) - Target 1: $47.90 (STC reaches 75) — risk/reward 1:3.4 - Target 2: Opposite signal or trail stop 5. Trade Management: - Price rallies to $47.20 - STC reaches 68 (approaching target zone) - Take 50% profit, move stop to breakeven - Exit remaining at $48.10 when STC crosses 75 Result: 3.7R gain ═══════════════════════════════════════════════════════════════════ ADVANCED TIPS 1. MULTI-TIMEFRAME CONFLUENCE For highest probability trades, wait for: - Primary TF signal - Higher TF STC aligned (>25 for longs, <75 for shorts) - Even higher TF trend in same direction (manual check) 2. VOLUME CONFIRMATION Watch the Force Index histogram: - Increasing bar size = Strengthening momentum - Decreasing bar size = Weakening momentum - Use this to gauge signal strength 3. AVOID THESE MARKET CONDITIONS - Major news events (Force Index becomes erratic) - Market open first 30 minutes (volatility spikes) - Low liquidity instruments (Force Index unreliable) - Extreme trending days (wait for pullbacks) 4. COMBINE WITH SUPPORT/RESISTANCE Best signals occur near: - Key horizontal levels - Fibonacci retracements - Previous day's high/low - Psychological round numbers 5. SESSION AWARENESS - Asia session: Use lower timeframes, Setup C works well - London session: Setup A and B both effective - New York session: All setups work, highest volume ═══════════════════════════════════════════════════════════════════ INDICATOR WINDOWS LAYOUT MAIN CHART: - Price action - 50 EMA (green/red) - Signal labels - Info panel INDICATOR WINDOW: - STC oscillator (blue line, 0-100 scale) - Higher TF STC (orange dots, optional) - Force Index histogram (green/red bars) - Reference levels (25, 50, 75) - Background zones (green oversold, red overbought) ═══════════════════════════════════════════════════════════════════ PERFORMANCE OPTIMIZATION For best results: Backtesting: - Test on your specific instrument and timeframe - Adjust STC parameters if win rate < 55% - Record which setup works best for your market Position Sizing: - Risk 1-2% per trade - Setup B can use 2% risk (higher win rate) - Setup C should use 1% risk (lower win rate) Trade Frequency: - Setup B: 2-5 signals per week (be patient) - Setup A: 5-10 signals per week - Setup C: 10+ signals per week (scalping) ═══════════════════════════════════════════════════════════════════ CREDITS & REFERENCES This indicator builds upon established technical analysis concepts: Schaff Trend Cycle: - Developed by Doug Schaff (1996) - Original concept published in Technical Analysis of Stocks & Commodities - Implementation based on standard STC formula Force Index: - Developed by Dr. Alexander Elder - Described in "Trading for a Living" (1993) - Classic volume-momentum indicator The multi-timeframe integration, three-setup system, and specific entry conditions are original contributions of this indicator. ═══════════════════════════════════════════════════════════════════ DISCLAIMER This indicator is a technical analysis tool and does not guarantee profits. Past performance is not indicative of future results. Always: - Use proper risk management - Test on demo account first - Combine with fundamental analysis - Never risk more than you can afford to lose ═══════════════════════════════════════════════════════════════════ SUPPORT & QUESTIONS If you find this indicator helpful, please: - Leave a like and comment - Share your feedback and results - Report any bugs or issues For questions about usage or optimization for specific markets, feel free to comment below. ═════════════════════════════════════════════════════════════
Indicador Pine Script®
por Smart-Day-Trader
ICT Liquidity Sweep Asia/London 1 Trade per High & Low🧠 ICT Liquidity Sweep Asia/London — 1 Trade per High & Low This strategy is inspired by the ICT (Inner Circle Trader) concepts of liquidity sweeps and market structure, focusing on the Asia and London sessions. It automatically identifies liquidity grabs (sweeps) above or below key session highs/lows and enters trades with a fixed risk/reward ratio (RR). ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ⚙️ Core Logic -Asia Session: 8:00 PM – 11:59 PM (New York time) -London Session: 2:00 AM – 5:00 AM (New York time) -The script marks the Asia High/Low and London High/Low ranges for each day. -When the market sweeps above a session high → potential Short setup -When the market sweeps below a session low → potential Long setup -A trade is triggered when the confirmation candle closes in the opposite direction of the sweep (bearish after a high sweep, bullish after a low sweep). -Only one trade per sweep type (1 per High, 1 per Low) is allowed per session. ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 📈 Risk Management -Configurable Risk/Reward Target (default = 2:1) -Configurable Position Size (number of contracts) -Each trade uses a fixed Stop Loss (beyond the wick of the sweep) and a Take Profit calculated from the RR setting. -All trades are automatically logged in the Strategy Tester with performance metrics. ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 💡 Features ✅ Visual session highlighting (Asia = Aqua, London = Orange) ✅ Automatic liquidity line plotting (session highs/lows) ✅ Entry & exit labels (optional visual display) ✅ Customizable RR and contract size ✅ Works on any instrument (ideal for indices, futures, or forex) ✅ Compatible with all timeframes (optimized for 1M–15M) ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ⚠️ Notes -Best used on New York time-based charts. -Designed for educational and backtesting purposes — not financial advice. -Use as a foundation for further optimization (e.g., SMT confirmation, FVG filter, or time-based restrictions). ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 🧩 Recommended Use Pair this with: -ICT’s concepts like CISD (Change in State of Delivery) and FVGs (Fair Value Gaps) -Higher timeframe liquidity maps -Session bias or daily narrative filters ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- Author: jygirouard Strategy Version: 1.3 Type: ICT Liquidity Sweep Automation Timezone: America/New_York
Estratégia Pine Script®
por jygirouard
Adaptive Vol Gauge [ParadoxAlgo]This is an overlay tool that measures and shows market ups and downs (volatility) based on daily high and low prices. It adjusts automatically to recent price changes and highlights calm or wild market periods. It colors the chart background and bars in shades of blue to cyan, with optional small labels for changes in market mood. Use it for info only—combine with your own analysis and risk controls. It's not a buy/sell signal or promise of results.Key FeaturesSmart Volatility Measure: Tracks price swings with a flexible time window that reacts to market speed. Market Mood Detection: Spots high-energy (wild) or low-energy (calm) phases to help see shifts. Visual Style: Uses smooth color fades on the background and bars—cyan for calm, deep blue for wild—to blend nicely on your chart. Custom Options: Change settings like time periods, sensitivity, colors, and labels. Chart Fit: Sits right on your main price chart without extra lines, keeping things clean. How It WorksThe tool figures out volatility like this:Adjustment Factor:Looks at recent price ranges compared to longer ones. Tweaks the time window (between 10-50 bars) based on how fast prices are moving. Volatility Calc:Adds up logs of high/low ranges over the adjusted window. Takes the square root for the final value. Can scale it to yearly terms for easy comparison across chart timeframes. Mood Check:Compares current volatility to its recent average and spread. Flags "high" if above your set level, "low" if below. Neutral in between. This setup makes it quicker in busy markets and steadier in quiet ones.Settings You Can ChangeAdjust in the tool's menu:Base Time Window (default: 20): Starting point for calculations. Bigger numbers smooth things out but might miss quick changes. Adjustment Strength (default: 0.5): How much it reacts to price speed. Low = steady; high = quick changes. Yearly Scaling (default: on): Makes values comparable across short or long charts. Turn off for raw numbers. Mood Sensitivity (default: 1.0): How strict for calling high/low moods. Low = more shifts; high = only big ones. Show Labels (default: on): Adds tiny "High Vol" or "Low Vol" tags when moods change. They point up or down from bars. Background Fade (default: 80): How see-through the color fill is (0 = invisible, 100 = solid). Bar Fade (default: 50): How much color blends into your candles or bars (0 = none, 100 = full). How to Read and Use ItColor Shifts:Background and bars fade based on mood strength:Cyan shades mean calm markets (good for steady, back-and-forth trades). Deep blue shades mean wild markets (watch for big moves or turns). Smooth changes show volatility building or easing. Labels:"High Vol" (deep blue, from below bar): Start of wild phase. "Low Vol" (cyan, from above bar): Start of calm phase. Only shows at changes to avoid clutter. Use for timing strategy tweaks. Trading Ideas:Mood-Based Plays: In wild phases (deep blue), try chase-momentum or breakout trades since swings are bigger. In calm phases (cyan), stick to bounce-back or range trades. Risk Tips: Cut trade sizes in wild times to handle bigger losses. Use calm times for longer holds with close stops. Chart Time Tips: Turn on yearly scaling for matching short and long views. Test settings on past data—loosen for quick trades (more alerts), tighten for longer ones (fewer, stronger). Mix with Others: Add trend lines or averages—buy in calm up-moves, sell in wild down-moves. Check with volume or key levels too. Special Cases: In big news events, it reacts faster. On slow assets, it might overstate swings—ease the adjustment strength. Limits and TipsIt looks back at past data, so it trails real-time action and can't predict ahead. Results differ by stock or timeframe—test on history first. Colors and tags are just visuals; set your own alerts if needed. Follows TradingView rules: No win promises, for learning only. Open for sharing; share thoughts in forums. With this, you can spot market energy and tweak your trades smarter. Start on practice charts.
Indicador Pine Script®
por paradoxalgo
Advanced Speedometer Gauge [PhenLabs]Advanced Speedometer Gauge Version: PineScript™v6 📌 Description The Advanced Speedometer Gauge is a revolutionary multi-metric visualization tool that consolidates 13 distinct trading indicators into a single, intuitive speedometer display. Instead of cluttering your workspace with multiple oscillators and panels, this gauge provides a unified interface where you can switch between different metrics while maintaining consistent visual interpretation. Built on PineScript™ v6, the indicator transforms complex technical calculations into an easy-to-read semi-circular gauge with color-coded zones and a precision needle indicator. Each of the 13 available metrics has been carefully normalized to a 0-100 scale, ensuring that whether you’re analyzing RSI, volume trends, or volatility extremes, the visual interpretation remains consistent and intuitive. The gauge is designed for traders who value efficiency and clarity. By consolidating multiple analytical perspectives into one compact display, you can quickly assess market conditions without the visual noise of traditional multi-indicator setups. All metrics are non-overlapping, meaning each provides unique insights into different aspects of market behavior. 🚀 Points of Innovation 13 selectable metrics covering momentum, volume, volatility, trend, and statistical analysis, all accessible through a single dropdown menu Universal 0-100 normalization system that standardizes different indicator scales for consistent visual interpretation across all metrics Semi-circular gauge design with 21 arc segments providing smooth precision and clear visual feedback through color-coded zones Non-redundant metric selection ensuring each indicator provides unique market insights without analytical overlap Advanced metrics including MFI (volume-weighted momentum), CCI (statistical deviation), Volatility Rank (extended lookback), Trend Strength (ADX-style), Choppiness Index, Volume Trend, and Price Distance from MA Flexible positioning system with 5 chart locations, 3 size options, and fully customizable color schemes for optimal workspace integration 🔧 Core Components Metric Selection Engine: Dropdown interface allowing instant switching between 13 different technical indicators, each with independent parameter controls Normalization System: All metrics converted to 0-100 scale using indicator-specific algorithms that preserve the statistical significance of each measurement Semi-Circular Gauge: Visual display using 21 arc segments arranged in curved formation with two-row thickness for enhanced visibility Color Zone System: Three distinct zones (0-40 green, 40-70 yellow, 70-100 red) providing instant visual feedback on metric extremes Needle Indicator: Dynamic pointer that positions across the gauge arc based on precise current metric value Table Implementation: Professional table structure ensuring consistent positioning and rendering across different chart configurations 🔥 Key Features RSI (Relative Strength Index): Classic momentum oscillator measuring overbought/oversold conditions with adjustable period length (default 14) Stochastic Oscillator: Compares closing price to price range over specified period with smoothing, ideal for identifying momentum shifts MFI (Money Flow Index): Volume-weighted RSI that combines price movement with volume to measure buying and selling pressure intensity CCI (Commodity Channel Index): Measures statistical deviation from average price, normalized from typical -200 to +200 range to 0-100 scale Williams %R: Alternative overbought/oversold indicator using high-low range analysis, inverted to match 0-100 scale conventions Volume %: Current volume relative to moving average expressed as percentage, capped at 100 for extreme spikes Volume Trend: Cumulative directional volume flow showing whether volume is flowing into up moves or down moves over specified period ATR Percentile: Current Average True Range position within historical range using specified lookback period (default 100 bars) Volatility Rank: Close-to-close volatility measured against extended historical range (default 252 days), differs from ATR in calculation method Momentum: Rate of change calculation showing price movement speed, centered at 50 and normalized to 0-100 range Trend Strength: ADX-style calculation using directional movement to quantify trend intensity regardless of direction Choppiness Index: Measures market choppiness versus trending behavior, where high values indicate ranging markets and low values indicate strong trends Price Distance from MA: Measures current price over-extension from moving average using standard deviation calculations 🎨 Visualization Semi-Circular Arc Display: Curved gauge spanning from 0 (left) to 100 (right) with smooth progression and two-row thickness for visibility Color-Coded Zones: Green zone (0-40) for low/oversold conditions, yellow zone (40-70) for neutral readings, red zone (70-100) for high/overbought conditions Needle Indicator: Downward-pointing triangle (▼) positioned precisely at current metric value along the gauge arc Scale Markers: Vertical line markers at 0, 25, 50, 75, and 100 positions with corresponding numerical labels below Title Display: Merged cell showing “𓄀 PhenLabs” branding plus currently selected metric name in monospace font Large Value Display: Current metric value shown with two decimal precision in large text directly below title Table Structure: Professional table with customizable background color, text color, and transparency for minimal chart obstruction 📖 Usage Guidelines Metric Selection Select Metric: Default: RSI | Options: RSI, Stochastic, Volume %, ATR Percentile, Momentum, MFI (Money Flow), CCI (Commodity Channel), Williams %R, Volatility Rank, Trend Strength, Choppiness Index, Volume Trend, Price Distance | Choose the technical indicator you want to display on the gauge based on your current analytical needs RSI Settings RSI Length: Default: 14 | Range: 1+ | Controls the lookback period for RSI calculation, shorter periods increase sensitivity to recent price changes Stochastic Settings Stochastic Length: Default: 14 | Range: 1+ | Lookback period for stochastic calculation comparing close to high-low range Stochastic Smooth: Default: 3 | Range: 1+ | Smoothing period applied to raw stochastic value to reduce noise and false signals Volume Settings Volume MA Length: Default: 20 | Range: 1+ | Moving average period used to calculate average volume for comparison with current volume Volume Trend Length: Default: 20 | Range: 5+ | Period for calculating cumulative directional volume flow trend ATR and Volatility Settings ATR Length: Default: 14 | Range: 1+ | Period for Average True Range calculation used in ATR Percentile metric ATR Percentile Lookback: Default: 100 | Range: 20+ | Historical range used to determine current ATR position as percentile Volatility Rank Lookback (Days): Default: 252 | Range: 50+ | Extended lookback period for Volatility Rank metric using close-to-close volatility Momentum and Trend Settings Momentum Length: Default: 10 | Range: 1+ | Lookback period for rate of change calculation in Momentum metric Trend Strength Length: Default: 20 | Range: 5+ | Period for directional movement calculations in ADX-style Trend Strength metric Advanced Metric Settings MFI Length: Default: 14 | Range: 1+ | Lookback period for Money Flow Index calculation combining price and volume CCI Length: Default: 20 | Range: 1+ | Period for Commodity Channel Index statistical deviation calculation Williams %R Length: Default: 14 | Range: 1+ | Lookback period for Williams %R high-low range analysis Choppiness Index Length: Default: 14 | Range: 5+ | Period for calculating market choppiness versus trending behavior Price Distance MA Length: Default: 50 | Range: 10+ | Moving average period used for Price Distance standard deviation calculation Visual Customization Position: Default: Top Right | Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Right | Controls gauge placement on chart for optimal workspace organization Size: Default: Normal | Options: Small, Normal, Large | Adjusts overall gauge dimensions and text size for different monitor resolutions and preferences Low Zone Color (0-40): Default: Green (#00FF00) | Customize color for low/oversold zone of gauge arc Medium Zone Color (40-70): Default: Yellow (#FFFF00) | Customize color for neutral/medium zone of gauge arc High Zone Color (70-100): Default: Red (#FF0000) | Customize color for high/overbought zone of gauge arc Background Color: Default: Semi-transparent dark gray | Customize gauge background for contrast and chart integration Text Color: Default: White (#FFFFFF) | Customize all text elements including title, value, and scale labels ✅ Best Use Cases Quick visual assessment of market conditions when you need instant feedback on whether an asset is in extreme territory across multiple analytical dimensions Workspace organization for traders who monitor multiple indicators but want to reduce chart clutter and visual complexity Metric comparison by switching between different indicators while maintaining consistent visual interpretation through the 0-100 normalization Overbought/oversold identification using RSI, Stochastic, Williams %R, or MFI depending on whether you prefer price-only or volume-weighted analysis Volume analysis through Volume %, Volume Trend, or MFI to confirm price movements with corresponding volume characteristics Volatility monitoring using ATR Percentile or Volatility Rank to identify expansion/contraction cycles and adjust position sizing Trend vs range identification by comparing Trend Strength (high values = trending) against Choppiness Index (high values = ranging) Statistical over-extension detection using CCI or Price Distance to identify when price has deviated significantly from normal behavior Multi-timeframe analysis by duplicating the gauge on different timeframe charts to compare metric readings across time horizons Educational purposes for new traders learning to interpret technical indicators through consistent visual representation ⚠️ Limitations The gauge displays only one metric at a time, requiring manual switching to compare different indicators rather than simultaneous multi-metric viewing The 0-100 normalization, while providing consistency, may obscure the raw values and specific nuances of each underlying indicator Table-based visualization cannot be exported or saved as an image separately from the full chart screenshot Optimal parameter settings vary by asset type, timeframe, and market conditions, requiring user experimentation for best results 💡 What Makes This Unique Unified Multi-Metric Interface: The only gauge-style indicator offering 13 distinct metrics through a single interface, eliminating the need for multiple oscillator panels Non-Overlapping Analytics: Each metric provides genuinely unique insights—MFI combines volume with price, CCI measures statistical deviation, Volatility Rank uses extended lookback, Trend Strength quantifies directional movement, and Choppiness Index measures ranging behavior Universal Normalization System: All metrics standardized to 0-100 scale using indicator-appropriate algorithms that preserve statistical meaning while enabling consistent visual interpretation Professional Visual Design: Semi-circular gauge with 21 arc segments, precision needle positioning, color-coded zones, and clean table implementation that maintains clarity across all chart configurations Extensive Customization: Independent parameter controls for each metric, five position options, three size presets, and full color customization for seamless workspace integration 🔬 How It Works 1. Metric Calculation Phase: All 13 metrics are calculated simultaneously on every bar using their respective algorithms with user-defined parameters Each metric applies its own specific calculation method—RSI uses average gains vs losses, Stochastic compares close to high-low range, MFI incorporates typical price and volume, CCI measures deviation from statistical mean, ATR calculates true range, directional indicators measure up/down movement, and statistical metrics analyze price relationships 2. Normalization Process: Each calculated metric is converted to a standardized 0-100 scale using indicator-appropriate transformations Some metrics are naturally 0-100 (RSI, Stochastic, MFI, Williams %R), while others require scaling—CCI transforms from ±200 range, Momentum centers around 50, Volume ratio caps at 2x for 100, ATR and Volatility Rank calculate percentile positions, and Price Distance scales by standard deviations 3. Gauge Rendering: The selected metric’s normalized value determines the needle position across 21 arc segments spanning 0-100 Each arc segment receives its color based on position—segments 0-8 are green zone, segments 9-14 are yellow zone, segments 15-20 are red zone The needle indicator (▼) appears in row 5 at the column corresponding to the current metric value, providing precise visual feedback 4. Table Construction: The gauge uses TradingView’s table system with merged cells for title and value display, ensuring consistent positioning regardless of chart configuration Rows are allocated as follows: Row 0 merged for title, Row 1 merged for large value display, Row 2 for spacing, Rows 3-4 for the semi-circular arc with curved shaping, Row 5 for needle indicator, Row 6 for scale markers, Row 7 for numerical labels at 0/25/50/75/100 All visual elements update on every bar when barstate.islast is true, ensuring real-time accuracy without performance impact 💡 Note: This indicator is designed for visual analysis and market condition assessment, not as a standalone trading system. For best results, combine gauge readings with price action analysis, support and resistance levels, and broader market context. Parameter optimization is recommended based on your specific trading timeframe and asset class. The gauge works on all timeframes but may require different parameter settings for intraday versus daily/weekly analysis. Consider using multiple instances of the gauge set to different metrics for comprehensive market analysis without switching between settings.
Indicador Pine Script®
por PhenLabs
1
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced 📊 ORIGINALITY & INNOVATION The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches. Key Advancements: Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA) Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases. 📐 MATHEMATICAL FOUNDATION Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands. Core Calculation Process: 1. Middle Band (Basis) Calculation: The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period: basis = ma(source, length, maType) Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others. 2. Average True Range (ATR) Calculation: ATR measures market volatility by calculating the average of true ranges over the specified period: trueRange = max(high - low, abs(high - close ), abs(low - close )) atrValue = ma(trueRange, atrLength, atrMaType) ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others. 3. Channel Calculation: Upper and lower channels are positioned at specified multiples of ATR from the basis: upperChannel = basis + (multiplier × atrValue) lowerChannel = basis - (multiplier × atrValue) Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility. Keltner Channel vs. Bollinger Bands - Key Differences: While both indicators create volatility-based channels, they use fundamentally different volatility measures: Keltner Channel (ATR-based): Uses Average True Range to measure actual price movement volatility Incorporates gaps and limit moves through true range calculation More stable in trending markets, less prone to extreme compression Better reflects intraday volatility and trading range Typically fewer band touches, making touches more significant More suitable for trend-following strategies Bollinger Bands (Standard Deviation-based): Uses statistical standard deviation to measure price dispersion Based on closing prices only, doesn't account for intraday range Can compress significantly during consolidation (squeeze patterns) More touches in ranging markets Better suited for mean-reversion strategies Provides statistical probability framework (95% within 2 standard deviations) Algorithm Combination Effects: The interaction between middle band MA type and ATR MA type creates different indicator characteristics: Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes 📊 COMPREHENSIVE SIGNAL ANALYSIS Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies. Channel Position Signals: Upper Channel Interaction: Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry Lower Channel Interaction: Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry Middle Band (Basis) Signals: Trend Direction Confirmation: Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs Pullback Trading Strategy: Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks Failed Test: Price breaking through middle band against trend direction signals potential reversal Volatility-Based Signals: Narrow Channels (Low Volatility): Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width Wide Channels (High Volatility): Trending Phase: Channels expand during strong directional moves and increased volatility Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal Advanced Pattern Recognition: Channel Walking Pattern: Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion Squeeze and Release Pattern: Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias) Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout Follow-Through: Measure squeeze height and project from breakout point for initial profit targets Channel Expansion Pattern: Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment Entry Timing: Enter positions early in expansion phase before trend becomes overextended Risk Management: Use channel width to size stops appropriately, wider channels require wider stops Basis Bounce Pattern: Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend Bounce Failure: Price penetrating basis signals weakening trend and potential reversal Divergence Analysis: Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction Reversal Signal: Divergences often precede trend reversals or significant consolidation periods Multi-Timeframe Analysis: Keltner Channels work particularly well in multi-timeframe trend-following approaches: Three-Timeframe Alignment: Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection Optimal Entry Conditions: Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels 🎯 STRATEGIC APPLICATIONS Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions. Trend Following Strategy: Setup Requirements: Identify established trend with price consistently on one side of basis line Wait for pullback to middle band (basis) or brief penetration through it Confirm trend resumption with price rejection at basis and move back toward outer channel Enter in trend direction with stop beyond basis line Entry Rules: Uptrend Entry: Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence) Enter long on rejection/bounce from basis with stop 1-2 ATR below basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Downtrend Entry: Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence) Enter short on rejection/reversal from basis with stop 1-2 ATR above basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Trend Management: Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position Profit Taking: Take partial profits at opposite channel, move stops to basis Position Additions: Add to winners on subsequent basis bounces if trend intact Breakout Strategy: Setup Requirements: Identify consolidation period with contracting channel width Monitor price action near middle band with reduced volatility Wait for decisive breakout beyond channel range with expanding width Enter in breakout direction after confirmation Breakout Confirmation: Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state Volume increases significantly on breakout (if using volume analysis) Price sustains outside channel for multiple bars without immediate reversal Entry Approaches: Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop Volatility-Based Position Sizing: Adjust position sizing based on channel width (ATR-based volatility): Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value) Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops Algorithm Selection Guidelines: Different market conditions benefit from different algorithm combinations: Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches. Source Parameter: Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2 OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments Length Parameter: Controls the lookback period for middle band (basis) calculation: Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks. ATR Length Parameter: Controls the lookback period for Average True Range calculation, affecting channel width: Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels. Multiplier Parameter: Controls channel width by setting ATR multiples: Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier. MA Type Parameter (Middle Band): Critical selection that determines trend identification characteristics: EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions ATR MA Type Parameter: Determines how Average True Range is smoothed, affecting channel width stability: RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles Parameter Combination Strategies: Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions Offset Parameter: Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations. 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness. Response Characteristics: Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention Comparison with Traditional Keltner Channels: Enhanced Version Advantages: Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences Comprehensive Alerts: Enhanced alert system including channel expansion detection Traditional Version Advantages: Simplicity: Fewer parameters, easier to understand and implement Standardization: Fixed EMA/RMA combination ensures consistency across users Research Base: Decades of backtesting and research on standard configuration When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe. When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks. Performance Across Market Conditions: Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation Keltner Channel vs. Bollinger Bands - Usage Comparison: Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends. Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities. Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation. Limitations and Considerations: General Limitations: Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms Trend-Dependent: Works best in trending markets, less effective in choppy conditions No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation Enhanced Version Specific Considerations: Optimization Risk: More parameters increase risk of curve-fitting historical data Complexity: Additional choices may overwhelm beginning traders Backtesting Challenges: Different algorithms produce different historical results Mitigation Strategies: Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones Multi-Timeframe Analysis: Confirm signals across different timeframes Proper Risk Management: Use appropriate position sizing and stops Start Simple: Begin with standard EMA/RMA before exploring alternatives Optimal Usage Recommendations: For Maximum Effectiveness: Start with standard EMA/RMA configuration to understand classic behavior Experiment with alternatives on demo account or paper trading Match algorithm combination to market condition and trading style Use channel width analysis to identify market phases Combine with complementary indicators for confirmation Implement strict risk management using ATR-based position sizing Focus on high-quality setups rather than trading every signal Respect the trend: trade with basis direction for higher probability Complementary Indicators: RSI or Stochastic: Confirm momentum at channel extremes MACD: Confirm trend direction and momentum shifts Volume: Validate breakouts and trend strength ADX: Measure trend strength, avoid Keltner signals in weak trends Support/Resistance: Combine with traditional levels for high-probability setups Bollinger Bands: Use together for enhanced breakout and volatility analysis USAGE NOTES This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Key considerations: Always use multiple forms of analysis and confirmation before entering trades Backtest any parameter combination thoroughly before live trading Be aware that optimization can lead to curve-fitting if not done carefully Start with standard EMA/RMA settings and adjust only when specific conditions warrant Understand that no moving average algorithm can eliminate lag entirely Consider market regime (trending, ranging, volatile) when selecting parameters Use ATR-based position sizing and risk management on every trade Keltner Channels work best in trending markets, less effective in choppy conditions Respect the trend direction indicated by price position relative to basis line The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
Indicador Pine Script®
por DCAUT
Volume ClusteringThis Volume Clustering script is a powerful tool for analyzing intraday trading dynamics by combining two key metrics: volume Z-Score and Cumulative Volume Delta (CVD). By categorizing market activity into distinct clusters, it helps you identify high-conviction trading opportunities and understand underlying market pressure. How It Works The script operates on a simple, yet effective, premise: it classifies each trading bar based on its statistical significance (volume Z-Score) and buying/selling pressure (CVD). Volume Z-Score The volume Z-Score measures how far the current bar's volume is from its average, helping to identify periods of unusually high or low volume. This metric is a powerful way to spot when institutional or large players might be entering the market. A high Z-Score suggests a significant event is taking place, regardless of direction. Cumulative Volume Delta (CVD) CVD tracks the net buying and selling pressure across different timeframes. The script uses a lower timeframe (e.g., 1-minute) and anchors it to a higher timeframe (e.g., 1-day) to capture intraday pressure. A positive CVD indicates more buying pressure, while a negative CVD suggests more selling pressure. Cluster Categories The script analyzes the confluence of these two metrics to assign a cluster to each bar, providing actionable insights. The clusters are color-coded and labeled to make them easy to interpret: 🟢 High Conviction Bullish: Unusually high volume (high Z-Score) combined with significant buying pressure (high CVD). This cluster suggests strong bullish momentum. 🔴 High Conviction Bearish: Unusually high volume (high Z-Score) coupled with significant selling pressure (low CVD). This cluster suggests strong bearish momentum. 🟡 Low Conviction/Noise: Low to moderate volume and mixed buying/selling pressure. This represents periods of indecision or consolidation, where market noise is more prevalent. 🟣 Other Clusters: The script also identifies other combinations, such as high volume with moderate CVD, or low volume with high CVD, which can provide additional context for understanding market dynamics. Key Features & Customization The script offers several customizable settings to tailor the analysis to your specific trading style: Z-Score Lookback Length: Adjust the lookback period for calculating the average volume. A shorter period focuses on recent volume trends, while a longer period provides a broader context. CVD Anchor & Lower Timeframe: Define the timeframes used for CVD calculation. You can anchor the analysis to a daily or weekly timeframe while using a lower timeframe (e.g., 1-minute) to capture granular intraday pressure. High/Low Volume Mode: Toggle between "High Volume" mode (which uses 90th and 10th percentiles for clustering) and "Low Volume" mode (which uses 75th and 25th percentiles). This allows you to choose whether to focus on extreme events or more subtle shifts in market sentiment.
Indicador Pine Script®
por immediatePerso44773
Monday's Range Superpowerkyu🔔 Settings You can customize the colors and toggle ON/OFF in the indicator settings. Works on daily, hourly, and minute charts. Easily visualize Monday’s high, low, and mid-line range. 📌 1. Support & Resistance with Monday’s Range Monday High: Acts as the first resistance of the week. ◽ Example: If price breaks above Monday’s high after Tuesday, it signals potential bullish continuation → long setup. Monday Low: Acts as the first support of the week. ◽ Example: If price breaks below Monday’s low, it signals bearish continuation → short setup. 📌 2. Mid-Line Trend Confirmation Monday Mid-Line = average price of Monday. Price above mid-line → bullish bias. Price below mid-line → bearish bias. Use mid-line breaks as entry confirmation for long/short positions. 📌 3. Breakout Strategy Break of Monday’s High = bullish breakout → long entry. Break of Monday’s Low = bearish breakout → short entry. Place stop-loss inside Monday’s range for a conservative approach. 📌 4. False Breakout Strategy If price breaks Monday’s high/low but then falls back inside Monday’s range, it is a False Breakout. Strategy: Trade in the opposite direction. ◽ False Breakout at High → short. ◽ False Breakout at Low → long. Stop-loss at the wick (extreme point) of the failed breakout. 📌 5. Range-Based Scalping Use Monday’s high and low as a trading range. Sell near Monday’s High, buy near Monday’s Low, repeat until breakout occurs. 📌 6. Weekly Volatility Forecast Narrow Monday range → higher chance of strong trend later in the week. Wide Monday range → lower volatility expected during the week. 📌 7. Pattern & Trend Analysis within Monday Range Look for candlestick patterns around Monday’s High/Low/Mid-Line. ◽ Example: Double Top near Monday’s High = short setup. ◽ Repeated bounce at Mid-Line = strong long opportunity. ✅ Summary The Monday’s Range (Superpowerkyu) Indicator helps traders: Identify weekly support & resistance Confirm trend direction with Mid-Line Trade breakouts & false breakouts Apply range scalping strategies Forecast weekly volatility ⚡ Especially, the False Breakout strategy is powerful as it captures failed moves and sudden sentiment reversals.
Indicador Pine Script®
por superpowerkyu
Chimera [theUltimator5]In myth, the chimera is an “impossible” hybrid—lion, goat, and serpent fused into one—striking to look at and formidable in presence. The word has come to mean a beautiful, improbable union of parts that shouldn’t work together, yet do. Chimera is a dual-mode market context tool that blends a multi-input oscillator with classic ADX/DI trend strength, plus optional multi-timeframe “gap-line” tracking. Use it to visualize regime (trend vs. range), momentum swings around an adaptive midline, and higher timeframe (HTF) reference levels that auto-terminate on touch/cross. Modes 1) Oscillator view A smoothed composite of five common inputs—RSI, MACD (oscillator), Bollinger position, Stochastic, and an ATR/DI-weighted bias. Each is normalized to a comparable 0–100 style scale, averaged, and plotted as a candle-style oscillator (short vs. long smoothing, wickless for clarity). A dynamic midline with standard-deviation bands frames neutral → bearish/bullish zones. Colors ramp from neutral to your chosen Oversold/Overbought endpoints; consolidation can override to white. Here is a description of the (5) signals used to calculate the sentiment oscillator: RSI (14): Measures recent momentum by comparing average gains vs. losses. High = strength after advances; low = weakness after declines. (Z-score normalized to 0–100.) MACD oscillator (12/26/9): Uses the difference between MACD and its signal (histogram) to gauge momentum shifts. Positive = bullish tilt; negative = bearish. (Z-score normalized.) Bollinger Bands position (20, 2): Locates price within the bands (0–100 from lower → upper). Near upper suggests strength/expansion; near lower suggests weakness/contraction. (Then normalized.) Stochastic (14, 3, 3): Shows where the close sits within the recent high-low range, smoothed via %D. Higher values = closes near highs; lower = near lows. (Scaled 0–100.) ATR/DI composite (14): Volatility-weighted directional bias: (+DI − −DI) amplified by ATR as a % of price and its relative average. Positive = bullish pressure with volatility; negative = bearish. (Rank/scale normalized.) All five are normalized and averaged into one composite, then smoothed (short/long) and compared to an adaptive midline with bands. 2) ADX view Shows ADX, +DI, –DI with user-defined High Threshold. Transparency and color shift with regime. When ADX is strong, a directional “fire/ice” gradient fills the area between ADX and the high threshold, biased toward the dominant DI; when ADX is weak, a soft white fade highlights low-trend conditions. HTF gap-line tracking (optional; both modes) Detects “gap-like” reference levels after weak-trend consolidation flips into a sudden DI jump. Anchors a line at the event bar’s open and auto-terminates upon first touch/cross (tick-size tolerance). Auto-selects up to three higher timeframes suited to your chart resolution and prints non-overlapping lines with labels like 1H / 4H / 1D. Lower-priority duplicates are suppressed to reduce clutter. Confirmation / repaint notes Signals and lines finalize on bar close of the relevant timeframe. HTF elements update only on the HTF bar close. During a forming bar they may appear transiently. Line removal finalizes after the bar that produced the touch/cross closes. Visual cues & effects Oscillator candles: Open/High = long smoothing; Low/Close = short smoothing (no wicks). Adaptive bands: Midline ± StdDev Multiplier × stdev of the blended series. Consolidation tint: Optional white backdrop/candles when the consolidation condition is true (balance + low ADX). Breakout VFX (optional): With strong DI/ADX and Bollinger breaks, renders a subtle “fire” flare above upper-band thrusts or “ice” shelf below lower-band thrusts. Inputs (high-level) Visual Style: Oscillator or ADX. General (Oscillator): Lookback Period, Short/Long Smoothing, Standard Deviation Multiplier. Color (Oscillator): Oversold/Overbought colors for gradient endpoints. Plot (Oscillator): Show Candles, Show Slow MA Line, Show Individual Component (RSI/MACD/BB/Stoch/ATR). Table (Oscillator): Show Information Table & position (compact dashboard of component values + status). ADX / Gaps / VFX (both modes): ADX High Threshold, Highlight Backgrounds, Show Gap Labels, Visual Overlay Effects, and color choices for current-TF & HTF lines. HTF selection: Automatic ladder (3 tiers) based on your chart timeframe. Alerts (built-in) Buy Signal – Primary: Oscillator exits oversold. Sell Signal – Primary: Oscillator exits overbought. Gap Fill Line Created (Any TF) Gap Fill Line Terminated (Any TF) ADX Crossed ABOVE/BELOW Low Threshold ADX Crossed ABOVE/BELOW High Threshold Consolidation Started Alerts evaluate on the close of the relevant timeframe. How to read it (quick guide) Pick your lens: Oscillator for blended momentum around an adaptive midline; ADX for trend strength and DI skew. Watch extremes & mean re-entries (Oscillator): Approaches to the top/bottom band show persistent momentum; returns toward the midline show normalization. Check regime (ADX): Below Low = low-trend; above High = strong trend, with “fire/ice” bias toward +DI/–DI. Track gap lines: Fresh labels mark new reference levels; lines auto-remove on first interaction. HTF lines add context but finalize only on HTF close. The uniqueness from this indicator comes from multiple areas: 1. A unique multi-timeframe algorithm detects gap fill zones and plots them on the chart. 2. Visual effects for both visual modes were hand crafted to provide a visually stunning and intuitive interface. 3. The algorithm to determine sentiment uses a unique blend of weight and sensitivity adjustment to create a plot with elastic upper and lower bounds based off historical volatility and price action.
Indicador Pine Script®
por TheUltimator5
30
Globex Trap w/ percentage [SLICKRICK]Globex Trap w/ Percentage Overview The Globex Trap w/ Percentage indicator is a powerful tool designed to help traders identify high-probability trading opportunities by analyzing price action during the Globex (overnight) session and regular trading hours. By combining Globex session ranges with Supply & Demand zones, this indicator highlights potential "trap" areas where significant price reactions may occur. Additionally, it calculates the Globex session range as a percentage of the daily Average True Range (ATR), providing valuable context for assessing market volatility. This indicator is ideal for traders in futures markets or other instruments traded during Globex sessions, offering a visual and analytical edge for spotting key price levels and potential reversals or breakouts. Key Features Globex Session Tracking: Visualizes the high and low of the Globex session (default: 3:00 PM to 6:30 AM PST) with customizable time settings. Displays a semi-transparent box to mark the Globex range, with labels for "Globex High" and "Globex Low." Calculates the Globex range as a percentage of the daily ATR, displayed as a label for quick reference. Supply & Demand Zones: Identifies Supply & Demand zones during regular trading hours (default: 6:00 AM to 8:00 AM PST) with customizable time settings. Draws semi-transparent boxes to highlight these zones, aiding in the identification of key support and resistance areas. Trap Area Identification: Highlights potential trap zones where Globex ranges and Supply & Demand zones overlap, indicating areas where price may reverse or consolidate due to trapped traders. Customizable Settings: Adjust Globex and Supply & Demand session times to suit your trading preferences. Toggle visibility of Globex and Supply & Demand zones independently. Customize box colors for better chart readability. Set the lookback period (default: 10 days) to control how many historical zones are displayed. Configure the ATR length (default: 14) for the percentage calculation. PST Timezone Default: All times are based on Pacific Standard Time (PST) by default, ensuring accurate session tracking for users in this timezone or those aligning with U.S. West Coast market hours. Recommended Usage Timeframes: Best used on 1-hour charts or lower (e.g., 15-minute, 5-minute) for precise entry and exit points. Markets: Optimized for futures (e.g., ES, NQ, CL) and other instruments traded during Globex sessions. Historical Data: Ensure at least 10 days of historical data for optimal visualization of zones. Strategy Integration: Use the indicator to identify potential reversals or breakouts at Globex highs/lows or Supply & Demand zones. The ATR percentage provides context for whether the Globex range is significant relative to typical daily volatility. How It Works Globex Session: Tracks the high and low prices during the user-defined Globex session (default: 3:00 PM to 6:30 AM PST). When the session ends, a box is drawn from the start to the end of the session, capturing the high and low prices. Labels are placed at the midpoint of the session, showing "Globex High," "Globex Low," and the range as a percentage of the daily ATR (e.g., "75.23% of Daily ATR"). Supply & Demand Zones: Tracks the high and low prices during the user-defined regular trading hours (default: 6:00 AM to 8:00 AM PST). Draws a box to mark these zones, which often act as key support or resistance levels. ATR Percentage: Calculates the Globex range (high minus low) and divides it by the daily ATR to express it as a percentage. This metric helps traders gauge whether the overnight price movement is significant compared to the instrument’s typical volatility. Time Handling: Uses PST (UTC-8) for all time calculations, ensuring accurate session timing for users aligning with this timezone. Properly handles overnight sessions that cross midnight, ensuring seamless tracking. Input Settings Globex Session Settings: Show Globex Session: Enable/disable Globex session visualization (default: true). Globex Start/End Time: Set the start and end times for the Globex session (default: 3:00 PM to 6:30 AM PST). Globex Box Color: Customize the color of the Globex session box (default: semi-transparent gray). Supply & Demand Zone Settings: Show Supply & Demand Zone: Enable/disable zone visualization (default: true). Zone Start/End Time: Set the start and end times for Supply & Demand zones (default: 6:00 AM to 8:00 AM PST). Zone Box Color: Customize the color of the zone box (default: semi-transparent aqua). General Settings: Days to Look Back: Number of historical days to display zones (default: 10). ATR Length: Period for calculating the daily ATR (default: 14). Notes All times are in Pacific Standard Time (PST). Adjust the start and end times if your market operates in a different timezone or if you prefer different session windows. The indicator is optimized for instruments with active Globex sessions, such as futures. Results may vary for non-24/5 markets. A typo in the label "Globe Low" (should be "Globex Low") will be corrected in future updates. Ensure your TradingView chart is set to display sufficient historical data to view the full lookback period. Why Use This Indicator? The Globex Trap w/ Percentage indicator provides a unique combination of session-based range analysis, Supply & Demand zone identification, and volatility context via the ATR percentage. Whether you’re a day trader, swing trader, or scalper, this tool helps you: Pinpoint key price levels where institutional traders may act. Assess the significance of overnight price movements relative to daily volatility. Identify potential trap zones for high-probability setups. Customize the indicator to fit your trading style and market preferences.
Indicador Pine Script®
por slickrick570
Strat Failed 2-Up/2-Down Scanner v2**Strat Failed 2-Up/2-Down Scanner** The Strat Failed 2-Up/2-Down Scanner is designed for traders using The Strat methodology, developed by Rob Smith, to identify key reversal patterns in any market and timeframe. This indicator detects two specific candlestick patterns: Failed 2-Up (bearish) and Failed 2-Down (bullish), which signal potential reversals when a directional move fails to follow through. **What It Does** - **Failed 2-Up**: Identifies a bearish candle where the low and high are higher than the previous candle’s low and high, but the close is below the open, indicating a failed attempt to continue an uptrend. These are marked with a red candlestick, a red downward triangle above the bar, and a table entry. - **Failed 2-Down**: Identifies a bullish candle where the high and low are lower than the previous candle’s high and low, but the close is above the open, signaling a failed downtrend. These are marked with a green candlestick, a green upward triangle below the bar, and a table entry. - A table in the top-right corner displays the signal type ("Failed 2-Up" or "Failed 2-Down") and the ticker symbol for quick reference. - Alerts are provided for both patterns, making the indicator compatible with TradingView’s screener for automated scanning. **How It Works** The indicator analyzes each candlestick’s high, low, and close relative to the previous candle: - Failed 2-Up: `low > low `, `high > high `, `close < open`. - Failed 2-Down: `high < high `, `low < low `, `close > open`. When these conditions are met, the indicator applies visual markers (colored bars and triangles) and updates the signal table. Alert conditions trigger notifications for integration with TradingView’s alert system. **How to Use** 1. Apply the indicator to any chart (stocks, forex, crypto, etc.) on any timeframe (e.g., 1-minute, hourly, daily). 2. Monitor the chart for red (Failed 2-Up) or green (Failed 2-Down) candlesticks with corresponding triangles. 3. Check the top-right table for the latest signal and ticker. 4. Set alerts by selecting “Failed 2-Up Detected” or “Failed 2-Down Detected” in TradingView’s alert menu to receive notifications (e.g., via email or app). 5. Use the signals to identify potential reversal setups in conjunction with other Strat-based analysis, such as swing levels or time-based strategies. **Originality** Unlike other Strat indicators that may focus on swing levels or complex candlestick combinations, this scanner specifically targets Failed 2-Up and Failed 2-Down patterns with clear, minimalist visualizations (bars, triangles, table) and robust alert functionality. Its simplicity makes it accessible for both novice and experienced traders using The Strat methodology. **Ideal For** Day traders, swing traders, and scalpers looking to capitalize on reversal signals in trending or ranging markets. The indicator is versatile for any asset class and timeframe, enhancing trade decision-making with The Strat’s pattern-based approach.
Indicador Pine Script®
por SmartGatorTrader
DYNAMIC TRADING DASHBOARDStudy Material for the "Dynamic Trading Dashboard" This Dynamic Trading Dashboard is designed as an educational tool within the TradingView environment. It compiles commonly used market indicators and analytical methods into one visual interface so that traders and learners can see relationships between indicators and price action. Understanding these indicators, step by step, can help traders develop discipline, improve technical analysis skills, and build strategies. Below is a detailed explanation of each module. ________________________________________ 1. Price and Daily Reference Points The dashboard displays the current price, along with percentage change compared to the day’s opening price. It also highlights whether the price is moving upward or downward using directional symbols. Alongside, it tracks daily high, low, open, and daily range. For traders, daily levels provide valuable reference points. The daily high and low are considered intraday support and resistance, while the median price of the day often acts as a pivot level for mean reversion traders. Monitoring these helps learners see how price oscillates within daily ranges. ________________________________________ 2. VWAP (Volume Weighted Average Price) VWAP is calculated as a cumulative average price weighted by volume. The dashboard compares the current price with VWAP, showing whether the market is trading above or below it. For traders, VWAP is often a guide for institutional order flow. Price trading above VWAP suggests bullish sentiment, while trading below VWAP indicates bearish sentiment. Learners can use VWAP as a training tool to recognize trend-following vs. mean reversion setups. ________________________________________ 3. Volume Analysis The system distinguishes between buy volume (when the closing price is higher than the open) and sell volume (when the closing price is lower than the open). A progress bar highlights the ratio of buying vs. selling activity in percentage. This is useful because volume confirms price action. For instance, if prices rise but sell volume dominates, it can signal weakness. New traders learning with this tool should focus on how volume often precedes price reversals and trends. ________________________________________ 4. RSI (Relative Strength Index) RSI is a momentum oscillator that measures price strength on a scale from 0 to 100. The dashboard classifies RSI readings into overbought (>70), oversold (<30), or neutral zones and adds visual progress bars. RSI helps learners understand momentum shifts. During training, one should notice how trending markets can keep RSI extended for longer periods (not immediate reversal signals), while range-bound markets react more sharply to RSI extremes. It is an excellent tool for practicing trend vs. range identification. ________________________________________ 5. MACD (Moving Average Convergence Divergence) The MACD indicator involves a fast EMA, slow EMA, and signal line, with focus on crossovers. The dashboard shows whether a “bullish cross” (MACD above signal line) or “bearish cross” (MACD below signal line) has occurred. MACD teaches traders to identify trend momentum shifts and divergence. During practice, traders can explore how MACD signals align with VWAP trends or RSI levels, which helps in building a structured multi-indicator analysis. ________________________________________ 6. Stochastic Oscillator This indicator compares the current close relative to a range of highs and lows over a period. Displayed values oscillate between 0 and 100, marking zones of overbought (>80) and oversold (<20). Stochastics are useful for students of trading to recognize short-term momentum changes. Unlike RSI, it reacts faster to price volatility, so false signals are common. Part of the training exercise can be to observe how stochastic “flips” can align with volume surges or daily range endpoints. ________________________________________ 7. Trend & Momentum Classification The dashboard adds simple labels for trend (uptrend, downtrend, neutral) based on RSI thresholds. Additionally, it provides quick momentum classification (“bullish hold”, “bearish hold”, or neutral). This is beneficial for beginners as it introduces structured thinking: differentiating long-term market bias (trend) from short-term directional momentum. By combining both, traders can practice filtering signals instead of trading randomly. ________________________________________ 8. Accumulation / Distribution Bias Based on RSI levels, the script generates simplified tags such as “Accumulate Long”, “Accumulate Short”, or “Wait”. This is purely an interpretive guide, helping learners think in terms of accumulation phases (when markets are low) and distribution phases (when markets are high). It reinforces the concept that trading is not only directional but also involves timing. ________________________________________ 9. Overall Market Status and Score Finally, the dashboard compiles multiple indicators (VWAP position, RSI, MACD, Stochastics, and price vs. median levels) into a Market Score expressed as a percentage. It also labels the market as Overbought, Oversold, or Normal. This scoring system isn’t a recommendation but a learning framework. Students can analyze how combining different indicators improves decision-making. The key training focus here is confluence: not depending on one indicator but observing when several conditions align. Extended Study Material with Formulas ________________________________________ 1. Daily Reference Levels (High, Low, Open, Median, Range) • Day High (H): Maximum price of the session. DayHigh=max⁡(Hightoday)DayHigh=max(Hightoday) • Day Low (L): Minimum price of the session. DayLow=min⁡(Lowtoday)DayLow=min(Lowtoday) • Day Open (O): Opening price of the session. DayOpen=OpentodayDayOpen=Opentoday • Day Range: Range=DayHigh−DayLowRange=DayHigh−DayLow • Median: Mid-point between high and low. Median=DayHigh+DayLow2Median=2DayHigh+DayLow These act as intraday guideposts for seeing how far the price has stretched from its key reference levels. ________________________________________ 2. VWAP (Volume Weighted Average Price) VWAP considers both price and volume for a weighted average: VWAPt=∑i=1t(Pricei×Volumei)∑i=1tVolumeiVWAPt=∑i=1tVolumei∑i=1t(Pricei×Volumei) Here, Price_i can be the average price (High + Low + Close) ÷ 3, also known as hlc3. • Interpretation: Price above VWAP = bullish bias; Price below = bearish bias. ________________________________________ 3. Volume Buy/Sell Analysis The dashboard splits total volume into buy volume and sell volume based on candle type. • Buy Volume: BuyVol=Volumeif Close > Open, else 0BuyVol=Volumeif Close > Open, else 0 • Sell Volume: SellVol=Volumeif Close < Open, else 0SellVol=Volumeif Close < Open, else 0 • Buy Ratio (%): VolumeRatio=BuyVolBuyVol+SellVol×100VolumeRatio=BuyVol+SellVolBuyVol×100 This helps traders gauge who is in control during a session—buyers or sellers. ________________________________________ 4. RSI (Relative Strength Index) RSI measures strength of momentum by comparing gains vs. losses. Step 1: Compute average gains (AG) and losses (AL). AG=Average of Upward Closes over N periodsAG=Average of Upward Closes over N periodsAL=Average of Downward Closes over N periodsAL=Average of Downward Closes over N periods Step 2: Calculate relative strength (RS). RS=AGALRS=ALAG Step 3: RSI formula. RSI=100−1001+RSRSI=100−1+RS100 • Used to detect overbought (>70), oversold (<30), or neutral momentum zones. ________________________________________ 5. MACD (Moving Average Convergence Divergence) • Fast EMA: EMAfast=EMA(Close,length=fast)EMAfast=EMA(Close,length=fast) • Slow EMA: EMAslow=EMA(Close,length=slow)EMAslow=EMA(Close,length=slow) • MACD Line: MACD=EMAfast−EMAslowMACD=EMAfast−EMAslow • Signal Line: Signal=EMA(MACD,length=signal)Signal=EMA(MACD,length=signal) • Histogram: Histogram=MACD−SignalHistogram=MACD−Signal Crossovers between MACD and Signal are used in studying bullish/bearish phases. ________________________________________ 6. Stochastic Oscillator Stochastic compares the current close against a range of highs and lows. %K=Close−LowestLowHighestHigh−LowestLow×100%K=HighestHigh−LowestLowClose−LowestLow×100 Where LowestLow and HighestHigh are the lowest and highest values over N periods. The %D line is a smooth version of %K (using a moving average). %D=SMA(%K,smooth)%D=SMA(%K,smooth) • Values above 80 = overbought; below 20 = oversold. ________________________________________ 7. Trend and Momentum Classification This dashboard generates simplified trend/momentum logic using RSI. • Trend: • RSI < 40 → Downtrend • RSI > 60 → Uptrend • In Between → Neutral • Momentum Bias: • RSI > 70 → Bullish Hold • RSI < 30 → Bearish Hold • Otherwise Neutral This is not predictive, only a classification framework for educational use. ________________________________________ 8. Accumulation/Distribution Bias Based on extreme RSI values: • RSI < 25 → Accumulate Long Bias • RSI > 80 → Accumulate Short Bias • Else → Wait/No Action This helps learners understand the idea of accumulation at lows (strength building) and distribution at highs (profit booking). ________________________________________ 9. Overall Market Status and Score The tool adds up 5 bullish conditions: 1. Price above VWAP 2. RSI > 50 3. MACD > Signal 4. Stochastic > 50 5. Price above Daily Median BullishScore=ConditionsMet5×100BullishScore=5ConditionsMet×100 Then it categorizes the market: • RSI > 70 or Stoch > 80 → Overbought • RSI < 30 or Stoch < 20 → Oversold • Else → Normal This encourages learners to think in terms of probabilistic conditions instead of single-indicator signals. ________________________________________ ⚠️ Warning: • Trading financial markets involves substantial risk. • You can lose more money than you invest. • Past performance of indicators does not guarantee future results. • This script must not be copied, resold, or republished without authorization from aiTrendview. By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice. ________________________________________ ⚠️ Disclaimer and Warning (From aiTrendview) This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment. The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Indicador Pine Script®
por aiTrendview-Charting-System
Transfer Function Filter [theUltimator5]The Transfer Function Filter is an engineering style approach to transform the price action on a chart into a frequency, then filter out unwanted signals using Butterworth-style filter approach. This indicator allows you to analyze market structure by isolating or removing different frequency components of price movement—similar to how engineers filter signals in control systems and electrical circuits. 🔎 Features Four Filter Types 1) Low Pass Filter – Smooths price data, highlighting long-term trends while filtering out short-term noise. This filter acts similar to an EMA, removing noisy signals, resulting in a smooth curve that follows the price of the stock relative to the filter cutoff settings. Real world application for low pass filter - Used in power supplies to provide a clean, stable power level. 2) High Pass Filter – Removes slow-moving trends to emphasize short-term volatility and rapid fluctuations. The high pass filter removes the "DC" level of the chart, removing the average price moves and only outputting volatility. Real world application for high pass filter - Used in audio equalizers to remove low-frequency noise (like rumble) while allowing higher frequencies to pass through, improving sound clarity. 3) Band Pass Filter – Allows signals to plot only within a band of bar ranges. This filter removes the low pass "DC" level and the high pass "high frequency noise spikes" and shows a signal that is effectively a smoothed volatility curve. This acts like a moving average for volatility. Real world application for band pass filter - Radio stations only allow certain frequency bands so you can change your radio channel by switching which frequency band your filter is set to. 4) Band Stop Filter – Suppresses specific frequency bands (cycles between two cutoffs). This filter allows through the base price moving average, but keeps the high frequency volatility spikes. It allows you to filter out specific time interval price action. Real world application for band stop filter - If there is prominent frequency signal in the area which can cause unnecessary noise in your system, a band stop filter can cancel out just that frequency so you get everything else Configurable Parameters • Cutoff Periods – Define the cycle lengths (in bars) to filter. This is a bit counter-intuitive with the numbering since the higher the bar count on the low-pass filter, the lower the frequency cutoff is. The opposite holds true for the high pass filter. • Filter Order – Adjust steepness and responsiveness (higher order = sharper filtering, but with more delay). • Overlay Option – Display Low Pass & Band Stop outputs directly on the price chart, or in a separate pane. This is enabled by default, plotting the filters that mimic moving averages directly onto the chart. • Source Selection – Apply filters to close, open, high, low, or custom sources. Histograms for Comparison • BS–LP Histogram – Shows distance between Band Stop and Low Pass filters. • BP–HP Histogram – Highlights differences between Band Pass and High Pass filters. Histograms give the visualization of a pseudo-MACD style indicator Visual & Informational Aids • Customizable colors for each filter line. • Optional zero-line for histogram reference. • On-chart info table summarizing active filters, cutoff settings, histograms, and filter order. 📊 Use Cases Trend Detection – Use the Low Pass filter to smooth noise and follow underlying market direction. Volatility & Cycle Analysis – Apply High Pass or Band Pass to capture shorter-term patterns. Noise Suppression – Deploy Band Stop to remove specific choppy frequencies. Momentum Insight – Watch the histograms to spot divergences and relative filter strength.
Indicador Pine Script®
por TheUltimator5
Key Session Levels (KUUUMZ) 📜 Summary Tired of manually drawing the same key levels every single trading day? The KUUMZ-Key Session Levels indicator automates this entire process, plotting the most critical intraday and previous day levels directly on your chart. This tool provides a clean, dynamic framework of potential support and resistance zones, allowing you to focus on your trading strategy, not on chart setup. Built for day traders and scalpers of US equities, this indicator helps you instantly visualize the market's structure from the moment the session begins. 🎯 Key Levels Plotted This indicator automatically identifies and draws horizontal lines for the following session levels: Previous Day High (PDH) & Low (PDL): The highest and lowest points of the prior trading day, which often act as major psychological support and resistance magnets. Pre-Market High & Low (PMH/PML): The range established during the pre-market session (4:00 - 9:30 AM ET). A breakout from this range can often signal the initial directional bias. 5-Minute Opening Range High & Low (OR5): The high and low of the first 5 minutes of the regular session (9:30 - 9:35 AM ET). A crucial level for opening range breakout (ORB) strategies. 15-Minute Opening Range High & Low (OR15): The high and low of the first 15 minutes (9:30 - 9:45 AM ET), providing a slightly broader view of the initial balance area. 📈 How to Use This Indicator These levels are fundamental to many intraday trading strategies: Support & Resistance: Watch how price reacts as it approaches these levels. A bounce or rejection can signal a potential reversal, while a clean break can indicate continuation. Breakout Trading: A strong, high-volume move through one of these levels (e.g., breaking above the Pre-Market High) can be an entry signal for a breakout trade. Market Context: Quickly gauge market sentiment. Is the price trading above or below the previous day's range? Is it trapped within the opening range? These levels provide immediate context to the current price action. Setting Targets & Stops: Use these levels to set logical profit targets or place stop-loss orders. For example, if you go long on a breakout of the 5-min OR, the Pre-Market High or Previous Day High could be your first target. ⚙️ Features & Customization The script is designed to be flexible and clean, allowing you to tailor it to your specific charting style. Toggle Any Level: Enable or disable any set of levels (Previous Day, Pre-Market, etc.) to reduce clutter. Full Style Control: Customize the Color, Width, and Style (Solid, Dotted, Dashed) for each pair of high/low lines independently. Optional Labels: A master switch allows you to show or hide all price labels (like "PDH", "PM Low", etc.) with a single click. Automatic & Dynamic: Levels are calculated and drawn in real-time as each session concludes and are automatically cleared and reset for the next trading day.
Indicador Pine Script®
por kuuumz
Smart MTF S/R Levels[BullByte] Smart MTF S/R Levels Introduction & Motivation Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges: Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent. Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities. Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones. What Makes This Indicator Unique? Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe. Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system. Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus. Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas. Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance. Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price. Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity. Why Should a Trader Use This? Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering. Efficiency: Saves hours of manual charting and reduces analysis fatigue. Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe. Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management. Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position). The Gap This Indicator Fills Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by: Automating S/R detection across multiple timeframes and methods Objectively scoring and ranking zones by confluence and reaction Presenting all this information in a clear, actionable dashboard How Does It Work? (Technical Logic) 1. Level Detection For each selected timeframe, the script detects S/R levels using: SW (Swing High/Low): Recent price pivots where reversals occurred. Pivot: Classic floor trader pivots (P, S1, R1). Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars. Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns. VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars. 2. Level Clustering Levels within a user-defined % distance are merged into a single “zone.” Each zone records which methods and timeframes contributed to it. 3. Confluence & Reaction Scoring Confluence: The number of unique methods/timeframes in agreement for a zone. Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback). 4. Filtering & Sorting Only zones within a user-defined % of the current price are shown (to focus on actionable areas). Zones can be sorted by confluence, reaction count, or proximity to price. 5. Visualization Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed). Lines: Mark the exact level of each zone. Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios. Dashboard Table: Lists all nearby zones with full details. 6. Alerts Optional alerts trigger when price approaches a zone with confluence above a user-set threshold. Inputs & Customization (Explained for All Users) Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h). Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include. Show levels within X% of price: Only display zones near the current price (default: 3%). How many swing highs/lows to show: Number of recent swings to include (default: 3). Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%). Show Top N Zones: Limit the number of zones displayed (default: 8). Bars to check for reactions: How far back to count price reactions (default: 100). Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance). Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3). Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels. Dashboard Size/Location: Customize the dashboard table. How to Read the Output Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed). Lines: Mark the precise level of each zone. Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios. Dashboard Table: Columns include: Level: Price of the zone Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below) Type: Support, Resistance, or Mixed Confl.: Confluence score (higher = more significant) React.: Number of recent price reactions Dist %: Distance from current price (in %) Abbreviations Used SW = Swing High/Low (recent price pivots where reversals occurred) Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786) VWAP = Volume Weighted Average Price (price level weighted by volume) POC = Point of Control (price level with the highest traded volume) Bull OB = Bullish Order Block (institutional support zone from bullish price action) Bear OB = Bearish Order Block (institutional resistance zone from bearish price action) Pivot = Pivot Point (classic floor trader pivots: P, S1, R1) These abbreviations appear in the dashboard and chart labels for clarity. Example: How to Read the Dashboard and Labels (from the chart above) Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection: Resistance zone at 119257.11: The dashboard shows: 5m (1 SW), 15m (2 SW), 1h (3 SW) This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes. Mixed zone at 118767.97: The dashboard shows: 5m (2 SW), 15m (2 SW) This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone. Support zone at 117411.35: The dashboard shows: 5m (2 SW), 1h (2 SW) This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level. Mixed zone at 118291.45: The dashboard shows: 15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP) This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level. Support zone at 117103.10: The dashboard shows: 15m (1 SW), 1h (1 SW) This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level. Resistance zone at 117899.33: The dashboard shows: 5m (1 SW) This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level. How to use this: Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts. Tip: “SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price. The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe. Best Practices & Recommendations Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management. Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility. Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant. Limitations No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react. Not a Standalone System: Should be used as part of a broader trading plan. Historical Data: Reaction counts are based on historical price action and may not always repeat. Disclaimer This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
Indicador Pine Script®
por BullByte
14
MTF Candles [Fadi x MMT]MTF Candles Overview The MTF Candles indicator is a powerful tool designed for traders who want to visualize higher timeframe (HTF) candles directly on their current chart. Built with flexibility and precision in mind, this Pine Script indicator displays up to six higher timeframe candles, complete with customizable styling, sweeps, midpoints, fair value gaps (FVGs), volume imbalances, and trace lines. It’s perfect for multi-timeframe analysis, helping traders identify key levels, market structure, and potential trading opportunities with ease. Key Features - Multi-Timeframe Candles : Display up to six higher timeframe candles (e.g., 5m, 15m, 30m, 4H, 1D, 1W) on your chart, with configurable timeframes and visibility. - Sweeps Detection : Identify liquidity sweeps (highs/lows) with customizable line styles, widths, and colors, plus optional alerts for confirmed bullish or bearish sweeps. - Midpoint Lines : Plot the midpoint (average of high and low) of the previous HTF candle, with customizable color, width, and style for enhanced market analysis. - Fair Value Gaps (FVGs) : Highlight gaps between non-adjacent candles, indicating potential areas of interest for price action. - Volume Imbalances : Detect and display volume imbalances between adjacent candles, aiding in spotting significant price levels. - Trace Lines : Connect HTF candle open, close, high, and low prices to their respective chart bars, with customizable styles and optional price labels. - Custom Daily Open Times : Support for custom daily candle open times (Midnight, 8:30, or 9:30) to align with specific market sessions. - Dynamic Labels : Show timeframe names, remaining time until the next HTF candle, and interval labels (e.g., day of the week for daily candles) with adjustable positions and sizes. - Highly Customizable : Fine-tune candle appearance, spacing, padding, and visual elements to suit your trading style. How It Works The indicator renders HTF candles as boxes (bodies) and lines (wicks) on the right side of the chart, with each timeframe offset for clarity. It dynamically updates candles in real-time, tracks their highs and lows, and displays sweeps and midpoints when conditions are met. FVGs and volume imbalances are calculated based on candle relationships, and trace lines link HTF candle levels to their originating bars on the chart. Sweep Logic - A bearish sweep occurs when the current candle’s high exceeds the previous candle’s high, but the close is below it. - A bullish sweep occurs when the current candle’s low falls below the previous candle’s low, but the close is above it. - Sweeps are visualized as horizontal lines and can trigger alerts when confirmed on the next candle. Midpoint Logic - A midpoint line is drawn at the average of the previous HTF candle’s high and low, extending until the next HTF candle forms. - Useful for identifying potential support/resistance or mean reversion levels. Imbalance Detection - FVGs : Identified when a candle’s low is above the next-but-one candle’s high (or vice versa), indicating a price gap. - Volume Imbalances : Detected between adjacent candles where the body of one candle doesn’t overlap with the next, signaling potential liquidity zones. Settings Timeframe Settings - HTF 1–6 : Enable/disable up to six higher timeframes (default: 5m, 15m, 30m, 4H, 1D, 1W) and set the maximum number of candles to display per timeframe (default: 4). - Limit to Next HTFs : Restrict the number of active timeframes (1–6). Styling - Body, Border, Wick Colors : Customize bull and bear candle colors (default: light gray for bulls, dark gray for bears). - Candle Width : Adjust the width of HTF candles (1–4). - Padding and Spacing : Set the offset from the current price action and spacing between candles and timeframes. Label Settings - HTF Label : Show/hide timeframe labels (e.g., "15m", "4H") at the top/bottom of candle sets. - Remaining Time : Display the countdown to the next HTF candle. Interval Value: Show day of the week for daily candles or time for intraday candles. - Label Position/Alignment : Choose to display labels at the top, bottom, or both, and align them with the highest/lowest candles or follow individual candle sets. Imbalance Settings - Fair Value Gap : Enable/disable FVGs with customizable color (default: semi-transparent gray). - Volume Imbalance : Enable/disable volume imbalances with customizable color (default: semi-transparent red). Trace Settings - Trace Lines : Enable/disable lines connecting HTF candle levels to their chart bars, with customizable colors, styles (solid, dashed, dotted), and sizes. - Price Labels : Show price levels for open, close, high, and low trace lines. - Anchor : Choose whether trace lines anchor to the first or last enabled timeframe. Sweep Settings - Show Sweeps : Enable/disable sweep detection and visualization. - Sweep Line : Customize color, width, and style (solid, dashed, dotted). - Sweep Alert : Enable alerts for confirmed sweeps. Midpoint Settings - Show Midpoint : Enable/disable midpoint lines. - Midpoint Line : Customize color (default: orange), width, and style (solid, dashed, dotted). Custom Daily Open Custom Daily Candle Open : Choose between Midnight, 8:30, or 9:30 (America/New_York) for daily candle opens. Usage - Add the indicator to your TradingView chart. - Configure the desired higher timeframes (HTF 1–6) and enable/disable features via the settings panel. - Adjust styling, labels, and spacing to match your chart preferences. Use sweeps, midpoints, FVGs, and volume imbalances to identify key levels for trading decisions. - Enable sweep alerts to receive notifications for confirmed liquidity sweeps. Notes Performance: The indicator is optimized for up to 500 boxes, lines, and labels, with a maximum of 5000 bars back. Can be slow at a time Time Zone: Custom daily opens use the America/New_York time zone for consistency with major financial markets. Compatibility: Ensure selected HTFs are valid (higher than the chart’s timeframe and divisible by it for intraday periods).
Indicador Pine Script®
por isthattyler
52
Gabriel's Andean Oscillator📈 Gabriel's Andean Oscillator — Enhanced Trend-Momentum Hybrid Gabriel's Andean Oscillator is a sophisticated trend-momentum indicator inspired by Alex Grover’s original Andean Oscillator concept. This enhanced version integrates multiple envelope types, smoothing options, and the ability to track volatility from both open/close and high/low dynamics—making it more responsive, adaptable, and visually intuitive. 🔍 What It Does This oscillator measures bullish and bearish "energy" by calculating variance envelopes around price. Instead of traditional momentum formulas, it builds two exponential variance envelopes—one capturing the downside (bullish potential) and the other capturing the upside (bearish pressure). The result is a smoothed oscillator that reflects internal market tension and potential breakouts. ⚙️ Key Features 📐 Envelope Types: Choose between: "Regular" – Uses single EMA-based smoothing on open/close variance. Ideal for shorter timeframes. "Double Smoothed" – Adds an extra layer of smoothing for noise reduction. Ideal for longer timeframes. 📊 Bullish & Bearish Components: Bull = Measures potential upside using price lows (or open/close). Bear = Measures downside pressure using highs (or open/close). These can optionally be derived from high/low or open/close for flexible interpretation. 📏 Signal Line: A customizable EMA of the dominant component to confirm momentum direction. 📉 Break Zone Area Plot: An optional filled area showing when bull > bear or vice versa, useful for detecting expansion/contraction phases. 🟢 High/Low Overlay Option (Use Highs and Lows?): Visualize secondary components derived from high/low prices to compare against the open/close dynamics and highlight volatility asymmetry. 🧠 How to Use It Trend Confirmation: When bull > bear and rising above signal → bullish bias. When bear > bull and rising above signal → bearish bias. Breakout Potential: Watch the Break area plot (√(bull - bear)) for rapid expansion, signaling volatility bursts or directional moves. High/Low Envelope Divergence: Enabling the high/low comparison reveals hidden strength or weakness not visible in open/close alone. 🛠 Customizable Inputs Envelope Type: Regular vs. Double Smoothed EMA Envelope Lengths: For both regular and smoothed logic Signal Length: Controls EMA smoothing for the signal Use Highs and Lows?: Toggles second set of envelopes; the original doesn't include highs and lows. Plot Breaks: Enables the filled “break” zone area, the squared difference between Open and Close. 🧪 Based On: Andean Oscillator - Alpaca Markets Licensed under CC BY-NC-SA 4.0 Developed by Gabriel, based on the work of Alex Grover
Indicador Pine Script®
por GabrielAmadeusLau
AP Session Liquidity with EQH/EQL and Previous DayThis indicator plots key intraday session highs and lows, along with essential market structure levels, to help traders identify areas of interest, potential liquidity zones, and high-probability trade setups. It includes the Asia Session High and Low (typically 00:00–08:00 UTC), London Session High and Low (08:00–12:00 UTC), New York AM Session High and Low (12:00–15:00 UTC), and New York Lunch High and Low (15:00–17:00 UTC). Additionally, it displays the Previous Day’s High and Low for context on recent price action, as well as automatically detected Equal Highs and Lows based on configurable proximity settings to highlight potential liquidity pools or engineered price levels. These session levels are widely used by institutional traders and are critical for analyzing market behavior during time-based volatility windows. Traders can use this indicator to anticipate breakouts, fakeouts, and reversals around session boundaries—such as liquidity grabs at Asia highs/lows before the London or New York sessions—or to identify key consolidation and expansion zones. Equal Highs and Lows serve as magnets for price, offering insight into potential stop hunts or inducement zones. This tool is ideal for day traders, scalpers, and smart money concept practitioners, and includes full customization for session timings, color schemes, line styles, and alert conditions. Whether you're trading price action, ICT concepts, or supply and demand, this indicator provides a powerful framework for intraday analysis.
Indicador Pine Script®
por APTRADEZ
2