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SCOTTGO - Float, Change %, Vol & RVol DataFloat, Vol & Short Data Dashboard Overview The Float, Vol & Short Data Dashboard is a professional-grade monitoring tool designed for equity traders who need to track supply, demand, and momentum in real-time. By aggregating float size, relative volume, and short-selling activity into a clean, customizable table, this script helps you identify high-conviction trade setups without cluttering your price chart. Key Metrics Included Float: (Shares) – Instantly see the available supply of shares to gauge potential volatility. Change %: (From close) – Tracks the percentage gain/loss since the previous day's closing price. Change %: (From open) – Monitors intraday strength by calculating the move from the 9:30 AM EST market open. Volume: – Displays current daily volume with automated formatting (K, M, B). RVOL: (Daily) – Relative Volume compared to a 10-day SMA; essential for spotting "volume-fueled" breakouts. Short %: (Approx.) – Calculates the daily Short Volume Ratio (Short Volume / Total Volume), providing a real-time proxy for short-seller sentiment. Professional Customization This script was built with a focus on UI/UX: Three-Row Header System: Features high-contrast main titles with muted-grey sub-titles for maximum readability. Smart Color Logic: Price changes automatically toggle between green and red, while RVol highlights in orange when activity exceeds 1.5x average. Adjustable Layout: Change the table position, text size, and background opacity. Column Spacing: Includes a custom slider to adjust the horizontal gap between data columns, ensuring the dashboard fits any screen resolution. How To Use Add the script to your chart and use the Settings menu to toggle metrics or adjust the Column Spacing to your preference. Ideal for day traders and swing traders monitoring US Equities where float and short volume data are most impactful.
Pine Script® indicator
by SCOTTGO
Adaptive ML Trailing Stop [BOSWaves]Adaptive ML Trailing Stop – Regime-Aware Risk Control with KAMA Adaptation and Pattern-Based Intelligence Overview Adaptive ML Trailing Stop is a regime-sensitive trailing stop and risk control system that adjusts stop placement dynamically as market behavior shifts, using efficiency-based smoothing and pattern-informed biasing. Instead of operating with fixed ATR offsets or rigid trailing rules, stop distance, responsiveness, and directional treatment are continuously recalculated using market efficiency, volatility conditions, and historical pattern resemblance. This creates a live trailing structure that responds immediately to regime change - contracting during orderly directional movement, relaxing during rotational conditions, and applying probabilistic refinement when pattern confidence is present. Price is therefore assessed relative to adaptive, condition-aware trailing boundaries rather than static stop levels. Conceptual Framework Adaptive ML Trailing Stop is founded on the idea that effective risk control depends on regime context rather than price location alone. Conventional trailing mechanisms apply constant volatility multipliers, which often results in trend suppression or delayed exits. This framework replaces static logic with adaptive behavior shaped by efficiency state and observed historical outcomes. Three core principles guide the design: Stop distance should adjust in proportion to market efficiency. Smoothing behavior must respond to regime changes. Trailing logic benefits from probabilistic context instead of fixed rules. This shifts trailing stops from rigid exit tools into adaptive, regime-responsive risk boundaries. Theoretical Foundation The indicator combines adaptive averaging techniques, volatility-based distance modeling, and similarity-weighted pattern analysis. Kaufman’s Adaptive Moving Average (KAMA) is used to quantify directional efficiency, allowing smoothing intensity and stop behavior to scale with trend quality. Average True Range (ATR) defines the volatility reference, while a K-Nearest Neighbors (KNN) process evaluates historical price patterns to introduce directional weighting when appropriate. Three internal systems operate in tandem: KAMA Efficiency Engine : Evaluates directional efficiency to distinguish structured trends from range conditions and modulate smoothing and stop behavior. Adaptive ATR Stop Engine : Expands or contracts ATR-derived stop distance based on efficiency, tightening during strong trends and widening in low-efficiency environments. KNN Pattern Influence Layer : Applies distance-weighted historical pattern outcomes to subtly influence stop placement on both sides. This design allows stop behavior to evolve with market context rather than reacting mechanically to price changes. How It Works Adaptive ML Trailing Stop evaluates price through a sequence of adaptive processes: Efficiency-Based Regime Identification : KAMA efficiency determines whether conditions favor trend continuation or rotational movement, influencing stop sensitivity. Volatility-Responsive Scaling : ATR-based stop distance adjusts automatically as efficiency rises or falls. Pattern-Weighted Adjustment : KNN compares recent price sequences to historical analogs, applying confidence-based bias to stop positioning. Adaptive Stop Smoothing : Long and short stop levels are smoothed using KAMA logic to maintain structural stability while remaining responsive. Directional Trailing Enforcement : Stops advance only in the direction of the prevailing regime, preserving invalidation structure. Gradient Distance Visualization : Gradient fills reflect the relative distance between price and the active stop. Controlled Interaction Markers : Diamond markers highlight meaningful stop interactions, filtered through cooldown logic to reduce clustering. Together, these elements form a continuously adapting trailing stop system rather than a fixed exit mechanism. Interpretation Adaptive ML Trailing Stop should be interpreted as a dynamic risk envelope: Long Stop (Green) : Acts as the downside invalidation level during bullish regimes, tightening as efficiency improves. Short Stop (Red) : Serves as the upside invalidation level during bearish regimes, adjusting width based on efficiency and volatility. Trend State Changes : Regime flips occur only after confirmed stop breaches, filtering temporary price spikes. Gradient Depth : Deeper gradient penetration indicates increased extension from the stop rather than imminent reversal. Pattern Influence : KNN weighting affects stop behavior only when historical agreement is strong and remains neutral otherwise. Distance, efficiency, and context outweigh isolated price interactions. Signal Logic & Visual Cues Adaptive ML Trailing Stop presents two primary visual signals: Trend Transition Circles : Display when price crosses the opposing trailing stop, confirming a regime change rather than anticipating one. Stop Interaction Diamonds : Indicate controlled contact with the active stop, subject to cooldown filtering to avoid excessive signals. Alert generation is limited to confirmed trend transitions to maintain clarity. Strategy Integration Adaptive ML Trailing Stop fits within trend-following and risk-managed trading approaches: Dynamic Risk Framing : Use adaptive stops as evolving invalidation levels instead of fixed exits. Directional Alignment : Base execution on confirmed regime state rather than speculative reversals. Efficiency-Based Tolerance : Allow greater price fluctuation during inefficient movement while enforcing tighter control during clean trends. Pattern-Guided Refinement : Let KNN influence adjust sensitivity without overriding core structure. Multi-Timeframe Context : Apply higher-timeframe efficiency states to inform lower-timeframe stop responsiveness. Technical Implementation Details Core Engine : KAMA-based efficiency measurement with adaptive smoothing Volatility Model : ATR-derived stop distance scaled by regime Machine Learning Layer : Distance-weighted KNN with confidence modulation Visualization : Directional trailing stops with layered gradient fills Signal Logic : Regime-based transitions and controlled interaction markers Performance Profile : Optimized for real-time chart execution Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Tight adaptive trailing for short-term momentum control 15 - 60 min : Structured intraday trend supervision 4H - Daily : Higher-timeframe regime monitoring Suggested Baseline Configuration: KAMA Length : 20 Fast/Slow Periods : 15 / 50 ATR Period : 21 Base ATR Multiplier : 2.5 Adaptive Strength : 1.0 KNN Neighbors : 7 KNN Influence : 0.2 These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive chop or overreaction : Increase KAMA Length, Slow Period, and ATR Period to reinforce regime filtering. Stops feel overly permissive : Reduce the Base ATR Multiplier to tighten invalidation boundaries. Frequent false regime shifts : Increase KNN Neighbors to demand stronger historical agreement. Delayed adaptation : Decrease KAMA Length and Fast Period to improve responsiveness during regime change. Adjustments should be incremental and evaluated over multiple market cycles rather than isolated sessions. Performance Characteristics High Effectiveness: Markets exhibiting sustained directional efficiency Instruments with recurring structural behavior Trend-oriented, risk-managed strategies Reduced Effectiveness: Highly erratic or event-driven price action Illiquid markets with unreliable volatility readings Integration Guidelines Confluence : Combine with BOSWaves structure or trend indicators Discipline : Follow adaptive stop behavior rather than forcing exits Risk Framing : Treat stops as adaptive boundaries, not forecasts Regime Awareness : Always interpret stop behavior within efficiency context Disclaimer Adaptive ML Trailing Stop is a professional-grade adaptive risk and regime management tool. It does not forecast price movement and does not guarantee profitability. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates structure, volatility, and contextual risk management.
Pine Script® indicator
by BOSWaves
3
Interest ZonesThis indicator automatically identifies and plots "Interest Zones" around significant pivot highs and lows, representing potential areas of institutional interest, support/resistance, or accumulation/distribution. Zones are dynamically merged when pivots cluster near the same price level and extended for visibility. How It Works (Technical Methodology) Pivot Point Detection The indicator uses Pine Script's ta.pivothigh() and ta.pivotlow() with asymmetric left/right lengths (default left=20, right=13) to detect swing highs and lows. This allows for customizable sensitivity – longer left for stronger confirmation, shorter right for faster detection. Zone Start Condition (Filtering) Multiple modes control from which point in history zones begin to be drawn: "None": All historical pivots (limited by max zones). "Auto (Start of Day)": Zones only from the beginning of the current trading day (resets daily). "Manual Date": User-defined fixed date. "Interactive (Chart)": User-confirmed date via input (useful for backtesting specific periods). "Last X Bars": Only pivots within the last user-defined number of bars (default 400). A vertical line marks the start point in date-based modes for visual reference. Zone Construction For each valid pivot: Zone thickness is based on ATR(14) × user-defined multiplier (default 0.3) for dynamic, volatility-adjusted height. Pivot High zones: Centered below the high (potential supply/resistance). Pivot Low zones: Centered above the low (potential demand/support). Zones are drawn as boxes extending to the right, with gray fill and border. Merge & Overlap Logic When a new pivot falls inside an existing zone or is very close (within user-defined "Proximity Sensitivity %" of the zone's midpoint, default 1.1%): The new pivot is merged into the existing zone. A counter ("x2", "x3", etc.) is displayed on the zone, indicating how many pivots have clustered there. The zone is strengthened visually (counter text) and extended further right. This highlights high-interest levels where price repeatedly reversed. Zone Management In "None" mode: Only the most recent user-defined max zones are kept (default 5) – oldest deleted automatically. In other modes: Up to ~490 zones (performance limit), oldest pruned if exceeded. All zones auto-extend to the right on the last bar for continuous visibility. Visual Elements Uniform gray color for all zones (configurable). Transparent background fill (adjustable). Counter text in white (configurable) when zones have multiple touches. Clean, non-directional design – focuses purely on clustered reversal points. How to Use Interest Zones highlight price levels where the market has shown repeated respect through multiple swing pivots – often coinciding with institutional order clusters, psychological levels, or hidden support/resistance. Higher counter values ("x3+", "x5+"): Stronger zones – higher probability of reaction on retest. Use for: Potential reversal or bounce areas when price approaches a zone. Confluence with other tools (order blocks, FVG, volume profile, etc.). Stop-loss placement beyond zones or take-profit at opposite zones. Daily reset ("Auto Start of Day"): Ideal for intraday trading – fresh zones each session. Backtesting: Use "Manual" or "Interactive" date modes to analyze specific historical periods. "Last X Bars": Good for medium-term swing analysis without full history clutter. Adjust ATR multiplier for tighter (lower) or wider (higher) zones based on asset volatility. Increase proximity sensitivity for more aggressive merging in ranging markets. Combine with trend direction, volume, or higher-timeframe structure for best results. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Pine Script® indicator
by s3u1l
HaP MACDHaP MACD - Advanced DEMA Assisted Signal Indicator Overview The HaP MACD is an evolution of the classic MACD, designed for traders who demand faster response times and clearer trend visualisations. By integrating DEMA (Double Exponential Moving Average) logic into the standard MACD framework, this indicator filters out noise and highlights momentum shifts with a unique color-coded dot system. How It Works The indicator calculates two types of MACD: a standard one for the main lines and a DEMA-based one for signal generation. This dual approach ensures you stay in the trend while being alerted the moment the momentum starts to fade. Visual Guide & Color Logic The signal dots are placed directly on the MACD line to guide your decisions: 🔵 Blue Dot: The Entry Signal. Appears when DEMA conditions first align for a bullish move. 🟢 Green Dot: Strong Momentum. The trend is active and the MACD value is increasing. 🟠 Orange Dot: Warning Signal. The bullish trend is still active, but the momentum is slowing down (MACD is lower than the previous bar). 🔴 Red Dot: Exit Signal. The bullish condition has ended. It’s time to consider closing the position or tightening stops. Key Features Reduced Lag: DEMA integration provides earlier signals than standard EMA-based MACDs. Trend Monitoring: Easily distinguish between a healthy trend (Green) and a tiring trend (Orange). Customizable: Choose between EMA and SMA for both the oscillator and signal calculations. Crossover Markers: Optional triangle markers for classic MACD crossovers (can be enabled in settings).
Pine Script® indicator
by agahakanaga
23
Pivot point moving averagesPivot Point Moving Averages builds moving averages from confirmed pivots, not from every bar. Instead of averaging all highs and lows, this script: Detects swing pivot highs and pivot lows using a configurable Pivot length (pivotLen). Converts these sparse pivot prices into continuous series of: last confirmed pivot low last confirmed pivot high Applies a user-selectable moving average (SMA / EMA / RMA / WMA / VWMA) to each of those pivot series. Plots the two resulting lines and shades the area between them as a pivot value cloud. Because the lines only move when a new pivot is confirmed, they represent structural acceptance rather than raw volatility. Short “noise” moves and stop hunts between pivots have much less impact on these averages. You can also enable an optional second pivot MA cloud: Uses the same Pivot length for structural detection. Has its own MA length and type. Can run on a different timeframe (e.g. D, 240, W). Is projected back onto the current chart so you see local pivot value and higher-timeframe pivot value together. Why it’s useful Traditional MAs: React to every bar. Move on noise, wicks, and stop runs. Don’t distinguish between “meaningful” structure and random fluctuation. This tool uses confirmed pivots, so it is better suited to market structure and phase analysis: Pivot MA low reflects how demand is stepping up (or down) as new swing lows form. Pivot MA high reflects how supply is pressing down (or easing) as new swing highs form. The cloud between them acts as a dynamic, structure-based value area. Typical interpretations: Price inside the pivot cloud → balance / fair value area. Price above the pivot cloud → bullish value expansion. Price below the pivot cloud → bearish value expansion. Cloud compressing → possible energy build-up, transition between phases. Cloud expanding → stronger directional conviction. With the second cloud enabled on a higher timeframe, you can: See whether lower-timeframe structure is building with or against the higher-timeframe pivot value. Use the HTF cloud as a background bias and the LTF cloud for timing and fine-grained context. Notes All pivot-based tools have inherent delay: a pivot is only confirmed after pivotLen bars to the right. On very low timeframes, long pivotLen + long MA lengths will make the lines slower to react. This is intended as a context and structure tool, not a standalone entry signal.
Pine Script® indicator
by pc75
First Candle Range (FCR) Gold Strategy - EtubersThe 18:00 (6:00 PM) candle is widely used by traders in the Forex and Futures markets because it marks the New York market rollover and the start of the Asian session. How the Strategy Works: - The Range: The High and Low prices of the 1-hour candle (18:00–19:00) create a "Supply and Demand" zone. - The Breakout: A candle closing above the high signals a bullish breakout; a candle closing below the low signals a bearish breakout. - Institutional Memory: By extending this zone forward for 4 days, traders can identify where "old" 18:00 levels act as support or resistance in the future. - Execution: Traders often wait for a breakout followed by a "retest" of the box boundary to enter a high-probability trade.
Pine Script® indicator
by etubers
3
Unmitigated High Low (Day/MTF) # Unmitigated High Low (Day/MTF) ## Overview The **Unmitigated High Low (Day/MTF)** indicator tracks previous timeframe highs and lows that remain "unmitigated" (untouched by price) and displays them as dynamic support and resistance levels. By default, the indicator monitors daily highs and lows, making it ideal for intraday traders seeking key institutional levels, though it supports any multi-timeframe (MTF) interval. The indicator extends horizontal lines from each level until price touches them, creating visual "zones of interest" where price action may react. ## What It Does This indicator identifies and plots two types of levels on your chart: - **High Levels** (yellow lines) - Previous timeframe highs that price has not yet reached or exceeded - **Low Levels** (cyan lines) - Previous timeframe lows that price has not yet broken below Each time a new timeframe period completes (e.g., daily candle closes), the indicator captures that period's high and low and extends them forward as horizontal reference lines. When price finally touches or crosses these levels, they become "mitigated" - the line stops extending, becomes transparent (60% opacity), and is marked as historical. ## Key Features **Multi-Timeframe Capability**: While defaulting to daily ("D") timeframe, you can switch to any interval (15-minute, 4-hour, weekly, etc.) to match your trading style. **Band Visualization**: The indicator creates colored bands between the two most recent active levels in each direction - an upper band (purple fill) between the 1st and 2nd unmitigated highs, and a lower band (cyan fill) between the 1st and 2nd unmitigated lows. **Visual Clarity**: Active unmitigated levels display in full color with customizable line width (default: 2), while mitigated levels fade to 60% transparency, helping you distinguish between current zones and historical references. ## How to Use It Add the indicator to your chart and observe where unmitigated levels cluster - these zones often act as magnets for institutional order flow. The most recent unmitigated high represents overhead supply/resistance, while the most recent unmitigated low represents underlying demand/support. Traders commonly use these levels for: - Entry zones when price approaches unmitigated levels with confluent signals - Stop-loss placement beyond unmitigated levels to avoid institutional sweeps - Profit targets at the next unmitigated level in the direction of your trade - Breakout confirmation when price finally mitigates a long-standing level The colored bands between the 1st and 2nd levels highlight "zones of friction" where price may consolidate or reverse before continuing its trend. ## Settings **HL interval**: Select your desired timeframe (default: "D" for daily) **High Line Color**: Color for unmitigated high levels (default: yellow #fff176) **Low Line Color**: Color for unmitigated low levels (default: cyan #00bcd4) **Upper Band Fill**: Fill color between 1st and 2nd highs (default: purple #880e4f at 85% transparency) **Lower Band Fill**: Fill color between 1st and 2nd lows (default: cyan #00bcd4 at 85% transparency) **Line Width**: Thickness of level lines (default: 2, range: 1-5)
Pine Script® indicator
by DeLeBlanc
BK AK-Zenith💥 Introducing BK AK-ZENITH — Adaptive Rhythm RSI for Peak/Valley Warfare 💥 This is not another generic RSI. This is ZENITH: it measures where momentum is on the scale, then tells you when it’s hitting extremes, when it’s turning, and when price is lying through its teeth with divergence. At its core, ZENITH does one thing ruthlessly well: it matches the oscillator’s period to the market’s current rhythm—adaptive when the market is fast, adaptive when the market is slow—so your signals stop being “late because the settings were wrong.” 🎖 Full Credit — Respect the Origin (AlgoAlpha) The core RSI architecture in this form belongs to AlgoAlpha—one of the best introducers and coders on TradingView. They originated this adaptive/Rhythm-RSI framework and the way it’s presented and engineered. BK AK-ZENITH is my enhancement layer on top of AlgoAlpha’s foundation. I kept the spine intact, and I added tactical systems: clearer Peak/Valley warfare logic, pivot governance (anti-spam), divergence strike markers, momentum flip confirmation, and a war-room readout—so it trades like a weapon, not a toy. Respect where it started: AlgoAlpha built the engine. I tuned it for battlefield use. 🧠 What Exactly is BK AK-ZENITH? BK AK-ZENITH is an Adaptive Period RSI (or fixed if you choose), designed to read momentum like a range of intent rather than a single overbought/oversold gimmick. Core Systems Inside ZENITH ✅ Adaptive Period RSI (Rhythm Engine) Automatically adjusts its internal RSI length to match current market cadence. (Optional fixed length mode if you want static.) ✅ Optional HMA Smoothing Cleaner shape without turning it into a laggy moving average. ✅ Peak / Valley Zones (default 80/20) Hard boundaries that define “true extremes” so you stop treating every wiggle like a signal. ✅ Pivot-Based BUY/SELL Triangles + Cooldown Signals are governed by pivots and a cooldown so it doesn’t machine-gun trash. ✅ Momentum Flip Diamonds (◇) Shows when the oscillator’s slope flips—clean confirmation for “engine change.” ✅ Divergence Lightning (⚡) Exposes when price is performing confidence while momentum is quietly breaking. ✅ War-Room Table / Meter Bias, zone, reading, and adaptive period printed so you don’t “interpret”—you execute. ✅ Alerts Suite Pivots, divergences, zone entries—so the chart calls you, not your emotions. 🎯 How to use it (execution rules) 1) Zones = permission Valley (≤ Valley level): demand territory. Stalk reversal structure; stop chasing breakdown candles. Peak (≥ Peak level): supply territory. Harvest, tighten, stop adding risk at the top. 2) Pivot triangles = the shot clock Your ▲/▼ signals are pivot-confirmed with a cooldown. That’s intentional. This is designed to force patience and prevent overtrading. 3) Divergence = truth serum When price makes the “confident” high/high or low/low but ZENITH disagrees, you’re seeing internal change before the crowd does. Treat divergence as warning + timing context, not a gambling button. 4) Meter/Table = discipline If you can’t summarize the state in one glance, you’ll overtrade. ZENITH prints the state so your brain stops inventing stories. 🔧 Settings that actually matter Adaptive Period ON (default): the whole point of ZENITH Peak/Valley levels: how strict extremes must be Pivot strength + Cooldown: your anti-spam governor Divergence pivot length: controls how “major” divergence must be The “AK” in the name is an acknowledgment of my mentor A.K. His standards—patience, precision, clarity, emotional control—are why this tool is built with governors instead of hype. And above all: all praise to Gd—the true source of wisdom, restraint, and right timing. 👑 King Solomon Lens — ZENITH Discernment Solomon asked Gd for something most people never ask for: not wealth, not victory—discernment. The ability to separate what looks true from what is true. That is exactly what momentum work is supposed to do. 1) Honest weights, honest measures. In Solomon’s world, crooked scales were an abomination because they disguised reality. In trading, the crooked scale is your own excitement: you see one green candle and call it strength. ZENITH forces an honest measure—0 to 100—so you deal in degree, not drama. A Peak is not “bullish.” A Peak is “momentum priced in.” A Valley is not “bearish.” A Valley is “selling pressure reaching exhaustion.” 2) Wisdom adapts to seasons. Solomon’s order wasn’t chaos—there was a time to build, a time to harvest, a time to wait. Markets have seasons too: trend seasons, chop seasons, compression seasons, expansion seasons. Fixed-length RSI pretends every season is the same. ZENITH does not. It listens for rhythm and adjusts its internal timing so your read stays relevant to today’s market tempo—not last month’s. 3) The sword test: revealing what’s hidden. Solomon’s most famous judgment wasn’t about theatrics—it was about revealing the truth beneath appearances. Divergence is that same test in markets: price can perform strength while the engine quietly weakens, or perform weakness while momentum secretly repairs. The ⚡ is not a prophecy. It’s a revelation: “what you see on price is not the full story.” That’s ZENITH discipline: measure → discern → execute. And may Gd bless your judgment to act only when the measure is clean. ⚔️ Final BK AK-ZENITH is a momentum fire-control system: adaptive rhythm + extreme zones + pivot timing + divergence truth. Use it to stop feeling trades and start weighing them. Praise to Gd always. 🙏
Pine Script® indicator
by Ki11a_B
2
FVG Heatmap [Hash Capital Research]FVG Map FVG Map is a visual Fair Value Gap (FVG) mapping tool built to make displacement imbalances easy to see and manage in real time. It detects 3-candle FVG zones, plots them as clean heatmap boxes, tracks partial mitigation (how much of the zone has been filled), and summarizes recent “fill speed” behavior in a small regime dashboard. This is an indicator (not a strategy). It does not place trades and it does not publish performance claims. It is a market-structure visualization tool intended to support discretionary or systematic workflows. What this script detects Bullish FVG (gap below price) A bullish FVG is detected when the candle from two bars ago has a high below the current candle’s low. The zone spans from that prior high up to the current low. Bearish FVG (gap above price) A bearish FVG is detected when the candle from two bars ago has a low above the current candle’s high. The zone spans from the current high up to that prior low. What makes it useful Heatmap zones (clean, readable FVG boxes) Bullish zones plot below price. Bearish zones plot above price. Partial fill tracking (mitigation progress) As price trades back into a zone, the script visually shows how much of the zone has been filled. Mitigation modes (your definition of “filled”) • Full Fill: price fully trades through the zone • 50% Fill: price reaches the midpoint of the zone • First Touch: price touches the zone one time Optional auto-cleanup Optionally remove zones once they’re mitigated to keep the chart clean. Fill-Speed Regime Dashboard When zones get mitigated, the script records how many bars it took to fill and summarizes the recent environment: • Average fill time • Median fill time • % fast fills vs % slow fills • Regime label: choppy/mean-revert, trending/displacement, or mixed How to use Use FVG zones as structure, not guaranteed signals. • Bullish zones are often watched as potential support on pullbacks. • Bearish zones are often watched as potential resistance on rallies. The fill-speed dashboard helps provide context: fast fills tend to appear in more rotational conditions, while slow fills tend to appear in stronger trend/displacement conditions. Alerts Bullish FVG Created Bearish FVG Created Notes FVGs are not guaranteed reversal points. Fill-speed/regime is descriptive of recent behavior and should be treated as context, not prediction. On realtime candles, visuals may update as the bar forms.
Pine Script® indicator
by Hash_Capital
Delta Grid Delta Grid H/L/C (Approx) Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart. Instead of guessing what happened inside a candle, this indicator shows you: Delta High – the maximum aggressive buying reached within the bar Delta Low – the maximum aggressive selling reached within the bar Delta Final – where delta closed when the candle finished All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior. How It Works This indicator approximates intrabar delta by: Aggregating lower-timeframe volume Classifying volume direction based on price movement Tracking the running delta inside each candle Recording the highest, lowest, and final delta values per bar A heat-mapped background is applied to the Final Delta column: Green shades = net aggressive buying Red shades = net aggressive selling Brighter colors = stronger imbalance relative to recent bars Key Features Stand-alone Delta Grid panel below the chart Per-bar Delta High / Delta Low / Delta Final Heat-mapped Final Delta for fast visual interpretation Optional time column for precise bar reference Adjustable lookback and scaling settings Clean layout designed for futures, crypto, and index trading How Traders Use It This tool is ideal for: Spotting absorption at highs and lows Identifying failed breakouts and traps Confirming trend strength or exhaustion Reading order-flow shifts without footprint charts Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure Important Notes This is an approximate delta calculation due to TradingView data limitations. It does not use true bid/ask volume. For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required. Recommended Settings Use a lower timeframe (1s–15s if available) for better intrabar accuracy Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
Pine Script® indicator
by forsakenSwift63419
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis. It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade. How it Works The strategy relies on the "Golden Trio" of confluence: 1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as: Price is above the Session VWAP. The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends). 2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session). Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish. Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish. 3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts. Key Features The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H). Trend: Checks if Price > EMA 21. VWAP: Checks if Price > VWAP. ORB: Checks if Price is currently above/below the Opening Range of that session. D H/L: Warns if price is near the Daily High or Low. PD H/L: Warns if price is near the Previous Daily High or Low. Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move). Chart: Draws Green/Red zones extending to the right, showing where price may react. Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning. Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs. Visual Guide (Chart Legend) ⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box. 🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum. 🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum. 🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks. 🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here. 🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here. ⚪ Dots (Trailing Stop): 🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss. 🔴 Red Dots: These appear above price during a Bearish trend. 🏷️ Buy / Sell Labels: BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish. SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish. Settings Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise. Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor. Order Blocks: Adjust the sensitivity and lookback period for Order Block detection. Risk: Customize the ATR multiplier for the trailing stop. Disclaimer This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
Pine Script® indicator
by EliasVictor
Dynamic Pivot Point [MarkitTick]Title: Dynamic Pivot Point MarkitTick Concept Unlike traditional Pivot Points, which plot static horizontal levels based on the previous period's High, Low, and Close, this script introduces a dynamic element by applying an Exponential Moving Average (EMA) to the calculated pivot levels. This approach allows the Support and Resistance zones to adapt more fluidly to recent price action, reducing the jagged steps often seen in standard multi-timeframe pivot indicators. How It Works The script operates in two distinct phases of calculation: 1. Data Extraction and Core Math: The indicator first requests the High, Low, and Close data from a user-defined timeframe (e.g., Daily, Weekly). Using this data, it calculates the standard Pivot Point (P) alongside three levels of Support (S1, S2, S3) and three levels of Resistance (R1, R2, R3) using standard geometric formulas: Pivot = (High + Low + Close) / 3 R1 = 2 * Pivot - Low S1 = 2 * Pivot - High (Subsequent levels follow standard Floor Pivot logic). 2. Dynamic Smoothing: Instead of plotting these raw values directly, the script processes each calculated level (P, S1-S3, R1-R3) through an Exponential Moving Average (EMA). The length of this EMA is controlled by the Pivot Length input. This smoothing process filters out minor volatility and creates curved, dynamic trajectories for the pivot levels rather than static straight lines. How to Use Traders can use this tool to identify dynamic areas of interest where price may react. The White Line represents the Central Pivot. Price action relative to this line helps determine the immediate bias (above for bullish, below for bearish). Green Lines (Support 1, 2, 3) indicate potential demand zones where price may bounce during a downtrend. Red Lines (Resistance 1, 2, 3) indicate potential supply zones where price may reject during an uptrend. Because the levels are smoothed, they can also act as dynamic trend followers, similar to moving averages, but derived from pivot geometry. Settings Show Pivot Points: Toggles the visibility of the plot lines on the chart. Pivot Length: Defines the lookback period for the EMA smoothing applied to the pivot levels. A higher number results in smoother, slower-reacting lines. Timeframe: Determines the timeframe used for the underlying High/Low/Close data (e.g., selecting "D" calculates pivots based on Daily data while viewing a lower timeframe chart). Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Pine Script® indicator
by MarkitTick
Unsurpassed Close LevelsThis indicator identifies and visually highlights previous candle close prices that have not yet been surpassed by any subsequent higher high — creating dynamic horizontal resistance levels based purely on closing prices. How it works: For every confirmed candle, a dashed horizontal ray is drawn from its close price extending to the right. The ray remains visible as long as no future candle's high reaches or exceeds that previous close level. As soon as price makes a new high that touches or surpasses the level, the ray is automatically removed. Duplicate levels (exact same close price already active) are skipped to keep the chart clean. A built-in limit of 50 active levels prevents overload on very long timeframes. Use cases: Spot potential resistance zones formed by previous closes that price has failed to reclaim on the upside. Helpful in downtrends or ranging markets to visualize "overhead supply" levels where sellers previously stepped in at the close. Great complement to traditional swing highs or supply/demand zones — focuses exclusively on close-based resistance. Works on any timeframe and any instrument. Visuals: Dashed red horizontal rays extending right from unsurpassed closes. Clean and lightweight — lines disappear automatically when invalidated. Simple, effective, and fully automatic. No inputs required. Feel free to customize the color, style, or max levels count in the code if desired.
Pine Script® indicator
by awaisf430
PEAD ScreenerPEAD Screener - Post-Earnings Announcement Drift Scanner ═══════════════════════════════════════════════════════════════ WHY EARNINGS ANNOUNCEMENTS CREATE OPPORTUNITY ═══════════════════════════════════════════════════════════════ The days immediately following an earnings announcement are among the noisiest periods for any stock. Within hours, the market must digest new information about a company's profits, revenue, and future outlook. Analysts scramble to update their models. Institutions rebalance positions. Retail traders react to headlines. This chaos creates a well-documented phenomenon called Post-Earnings Announcement Drift (PEAD): stocks that beat expectations tend to keep rising, while those that miss tend to keep falling - often for weeks after the initial announcement. Academic research has confirmed this pattern persists across decades and markets. But not every earnings surprise is equal. A company that beats estimates by 5 cents might move very differently than one that beats by 5 cents with unusually high volume, or one where both earnings AND revenue exceeded expectations. Raw numbers alone don't tell the full story. ═══════════════════════════════════════════════════════════════ HOW "STANDARDIZED UNEXPECTED" METRICS CUT THROUGH THE NOISE ═══════════════════════════════════════════════════════════════ This screener uses a statistical technique to measure how "surprising" a result truly is - not just whether it beat or missed, but how unusual that beat or miss was compared to the company's own history. The core idea: convert raw surprises into Z-scores. A Z-score answers the question: "How many standard deviations away from normal is this result?" - A Z-score of 0 means the result was exactly average - A Z-score of +2 means the result was unusually high (better than ~95% of historical results) - A Z-score of -2 means the result was unusually low By standardizing surprises this way, we can compare apples to apples. A small-cap biotech's $0.02 beat might actually be more significant than a mega-cap's $0.50 beat, once we account for each company's typical variability. This screener applies this standardization to three dimensions: earnings (SUE), revenue (SURGE), and volume (SUV). ═══════════════════════════════════════════════════════════════ THE 9 SCREENING CRITERIA ═══════════════════════════════════════════════════════════════ ───────────────────────────────────────── 1. SUE (Standardized Unexpected Earnings) ───────────────────────────────────────── WHAT IT IS: SUE measures how surprising an earnings result was, adjusted for the company's historical forecast accuracy. Calculation: Take the earnings surprise (actual EPS minus analyst estimate), then divide by the standard deviation of past forecast errors. This uses a rolling window of the last 8 quarters by default. Formula: SUE = (Actual EPS - Estimated EPS) / Standard Deviation of Past Errors HOW TO INTERPRET: - SUE > +2.0: Strongly positive surprise - earnings beat expectations by an unusually large margin. These stocks often continue drifting higher. - SUE between 0 and +2.0: Modest positive surprise - beat expectations, but within normal range. - SUE between -2.0 and 0: Modest negative surprise - missed expectations, but within normal range. - SUE < -2.0: Strongly negative surprise - significant miss. These stocks often continue drifting lower. For long positions, look for SUE values above +2.0, ideally combined with positive SURGE. ───────────────────────────────────────── 2. SURGE (Standardized Unexpected Revenue) ───────────────────────────────────────── WHAT IT IS: SURGE applies the same standardization technique to revenue surprises. While earnings can be manipulated through accounting choices, revenue is harder to fake - it represents actual sales. Calculation: Take the revenue surprise (actual revenue minus analyst estimate), then divide by the standard deviation of past revenue forecast errors. Formula: SURGE = (Actual Revenue - Estimated Revenue) / Standard Deviation of Past Errors HOW TO INTERPRET: - SURGE > +1.5: Strongly positive revenue surprise - the company sold significantly more than expected. - SURGE between 0 and +1.5: Modest positive surprise. - SURGE < 0: Revenue missed expectations. The most powerful signals occur when BOTH SUE and SURGE are positive and elevated (ideally SUE > 2.0 AND SURGE > 1.5). This indicates the company beat on both profitability AND top-line growth - a much stronger signal than either alone. When SUE and SURGE diverge significantly (e.g., high SUE but negative SURGE), treat with caution - the earnings beat may have come from cost-cutting rather than genuine growth. ───────────────────────────────────────── 3. SUV (Standardized Unexpected Volume) ───────────────────────────────────────── WHAT IT IS: SUV detects unusual trading volume after accounting for how volatile the stock is. More volatile stocks naturally have higher volume, so raw volume comparisons can be misleading. Calculation: This uses regression analysis to model the expected relationship between price volatility and volume. The "unexpected" volume is the residual - how much actual volume deviated from what the model predicted. This residual is then standardized into a Z-score. In plain terms: SUV asks "Given how much this stock typically moves, is today's volume unusually high or low?" HOW TO INTERPRET: - SUV > +2.0: Exceptionally high volume relative to the stock's volatility. This often signals institutional activity - big players moving in or out. - SUV between +1.0 and +2.0: Elevated volume - above normal interest. - SUV between -1.0 and +1.0: Normal volume range. - SUV < -1.0: Unusually quiet - less activity than expected. High SUV combined with positive price movement suggests accumulation (buying). High SUV combined with negative price movement suggests distribution (selling). ───────────────────────────────────────── 4. % From D0 Close ───────────────────────────────────────── WHAT IT IS: This measures how far the current price has moved from the closing price on its initial earnings reaction day (D0). The "reaction day" is the first trading day that fully reflects the earnings news - typically the day after an after-hours announcement, or the announcement day itself for pre-market releases. Calculation: ((Current Price - D0 Close) / D0 Close) × 100 HOW TO INTERPRET: - Positive values: Stock has gained ground since earnings. The higher the percentage, the stronger the post-earnings drift. - 0% to +5%: Modest positive drift - earnings were received well but momentum is limited. - +5% to +15%: Strong drift - buyers continue accumulating. - > +15%: Exceptional drift - significant institutional interest likely. - Negative values: Stock has given back gains or extended losses since earnings. May indicate the initial reaction was overdone, or that sentiment is deteriorating. This metric is most meaningful within the first 5-20 trading days after earnings. Extended drift (maintaining gains over 2+ weeks) is a stronger signal than a quick spike that fades. ───────────────────────────────────────── 5. # Pocket Pivots ───────────────────────────────────────── WHAT IT IS: Pocket Pivots are a volume-based pattern developed by Chris Kacher and Gil Morales. They identify days where institutional buyers are likely accumulating shares without causing obvious breakouts. Calculation: A Pocket Pivot occurs when: - The stock closes higher than it opened (up day) - The stock closes higher than the previous day's close - Today's volume exceeds the highest down-day volume of the prior 10 trading sessions The screener counts how many Pocket Pivots have occurred since the earnings announcement. HOW TO INTERPRET: - 0 Pocket Pivots: No detected institutional accumulation patterns since earnings. - 1-2 Pocket Pivots: Some institutional buying interest - worth monitoring. - 3+ Pocket Pivots: Strong accumulation signal - institutions appear to be building positions. Pocket Pivots are most significant when they occur: - Immediately following earnings announcements - Near moving average support (10-day, 21-day, or 50-day) - On above-average volume - After a period of price consolidation Multiple Pocket Pivots in a short period suggest sustained institutional demand, not just a one-day event. ───────────────────────────────────────── 6. ADX/DI (Trend Strength and Direction) ───────────────────────────────────────── WHAT IT IS: ADX (Average Directional Index) measures trend strength regardless of direction. DI (Directional Indicator) shows whether the trend is bullish or bearish. Calculation: ADX uses a 14-period lookback to measure how directional (trending) price movement is. Values range from 0 to 100. The +DI and -DI components compare upward and downward movement. The screener shows: - ADX value (trend strength) - Direction indicator: "+" for bullish (price trending up), "-" for bearish (price trending down) HOW TO INTERPRET: - ADX < 20: Weak trend - the stock is moving sideways, choppy. Not ideal for momentum trading. - ADX 20-25: Trend is emerging - potentially starting a directional move. - ADX 25-40: Strong trend - clear directional movement. Good for momentum plays. - ADX > 40: Very strong trend - powerful move in progress, but may be extended. The direction indicator (+/-) tells you which way: - "25+" means ADX of 25 with bullish direction (uptrend) - "25-" means ADX of 25 with bearish direction (downtrend) For post-earnings plays, ideal setups show ADX rising above 25 with positive direction, confirming the earnings reaction is developing into a sustained trend rather than a one-day spike. ───────────────────────────────────────── 7. Institutional Buying PASS ───────────────────────────────────────── WHAT IT IS: This proprietary composite indicator detects patterns consistent with institutional accumulation at three stages after earnings: EARLY (Days 0-4): Looks for "large block" buying on the earnings reaction day (exceptionally high volume with a close in the upper half of the day's range) combined with follow-through buying on the next day. MID (Days 5-9): Checks for sustained elevated volume (averaging 1.5x the 20-day average) combined with positive drift and consistent upward price movement (more up days than down days). LATE (Days 10+): Detects either visible accumulation (positive drift with high volume) OR stealth accumulation (positive drift with unusually LOW volume - suggesting smart money is quietly building positions without attracting attention). HOW TO INTERPRET: - Check mark/value of '1': Institutional buying pattern detected. The stock shows characteristics consistent with large players accumulating shares. - X mark/value of '0': No institutional buying pattern detected. This doesn't mean institutions aren't buying - just that the typical footprints aren't visible. A passing grade here adds conviction to other bullish signals. Institutions have research teams, information advantages, and long time horizons. When their footprints appear in the data, it often precedes sustained moves. Important: This is a pattern detection tool, not a guarantee. Always combine with other analysis. ───────────────────────────────────────── 8. Strong ATR Drift PASS ───────────────────────────────────────── WHAT IT IS: This measures whether the stock has drifted significantly relative to its own volatility. Instead of asking "did it move 10%?", it asks "did it move more than 1.5 ATRs?" ATR (Average True Range) measures a stock's typical daily movement. A volatile stock might move 5% daily, while a stable stock might move 0.5%. Using ATR normalizes for this difference. Calculation: ATR Drift = (Current Close - D0 Close) / D0 ATR in dollars The indicator passes when ATR Drift exceeds 1.5 AND at least 5 days have passed since earnings. HOW TO INTERPRET: - Check mark/value of '1': The stock has drifted more than 1.5 times its average daily range since earnings - a statistically significant move that suggests genuine momentum, not just noise. - X mark/value of '0': The drift (if any) is within normal volatility bounds - could just be random fluctuation. Why wait 5 days? The immediate post-earnings reaction (days 0-2) often includes gap fills and noise. By day 5, if the stock is still extended beyond 1.5 ATRs from the earnings close, it suggests real buying pressure, not just a reflexive gap. A passing grade here helps filter out stocks that "beat earnings" but haven't actually moved meaningfully. It focuses attention on stocks where the market is voting with real capital. ───────────────────────────────────────── 9. Days Since D0 ───────────────────────────────────────── WHAT IT IS: Simply counts the number of trading days since the earnings reaction day (D0). HOW TO INTERPRET: - Days 0-5 (Green): Fresh earnings - the information is new, institutional repositioning is active, and momentum trades are most potent. This is the "sweet spot" for PEAD strategies. - Days 6-10 (Neutral): Mid-period - some edge remains but diminishing. Good for adding to winning positions, less ideal for new entries. - Days 11+ (Red): Extended period - most of the post-earnings drift has typically played out. Higher risk that momentum fades or reverses. Research shows PEAD effects are strongest in the first 5-10 days after earnings, then decay. Beyond 20-30 days, the informational advantage of the earnings surprise is largely priced in. Use this to prioritize: focus on stocks with strong signals that are still in the early window, and be more selective about entries as days accumulate. ═══════════════════════════════════════════════════════════════ PUTTING IT ALL TOGETHER ═══════════════════════════════════════════════════════════════ You can use this screener in the chart view or in the Screener. One combination of the above filters to develop a shortlist of positive drift candidates may be: - SUE > 2.0 (significant earnings beat) - SURGE > 1.5 (significant revenue beat) - Positive % From D0 Close (price confirming the good news) - Institutional Buying PASS (big players accumulating) - Strong ATR Drift PASS (statistically significant movement) - Days Since D0 < 10 (still in the active drift window) No single indicator is sufficient. The power comes from convergence - when multiple independent measures all point the same direction. ═══════════════════════════════════════════════════════════════ SETTINGS ═══════════════════════════════════════════════════════════════ Key adjustable parameters: - SUE Method: "Analyst-based" uses consensus estimates; "Time-series" uses year-over-year comparison - Window Size: Number of quarters used for standardization (default: 8) - ATR Drift Threshold: Minimum ATR multiple for "strong" classification (default: 1.5) - Institutional Buying thresholds: Adjustable volume and CLV parameters ═══════════════════════════════════════════════════════════════ DISCLAIMER ═══════════════════════════════════════════════════════════════ This screener is a research tool, not financial advice. Past patterns do not guarantee future results. Always conduct your own due diligence and manage risk appropriately. Post-earnings trading involves significant uncertainty and volatility. The 'SUE' in this indicator does not represent a real person; any similarity to actual Sue's (or Susans for that matter) living or dead is quite frankly ridiculous, not to mention coincidental.
Pine Script® indicator
by mericourt
Risk & Position CalculatorThis indicator is called "Risk & Position Calculator". This indicator shows 4 information on a table format. 1st: 20 day ADR% (ADR%) 2nd: Low of the day price (LoD) 3rd: The percentage distance between the low of the day price and the current market price in real-time (LoD dist.%) 4th: The calculated amount of shares that are suggested to buy (Shares) The ADR% and LoD is straightforward, and I will explain more on the 3rd and 4th information. __________________________________________________________________________________ The Lod dist.% is a useful tool if you are a breakout buyer and use the low of the day price as your stop loss, it helps you determine if a breakout buy is at a risk tight area (~1/2 ADR%) or it is more of a chase (>1 ADR%). I use four different colors to visualize this calculation results (green, yellow, purple, and red). Green: Lod dist.% <= 0.5 ADR% Yellow: 0.5 ADR% < Lod dist.% <= 1 ADR% Purple: 1 ADR% < Lod dist.% <= 1.5 ADR% Red: 1.5 ADR% < Lod dist.% (e.g., if Lod dist.% is colored in Green, it means your stop loss is <= 0.5 ADR%, therefore if you buy here, the risk is probably tight enough) __________________________________________________________________________________ The Shares is a useful tool if you want to know exactly how many shares you should buy at the breakout moment. To use this tool, you first need to input two information in the indicator setting panel: the account size ($) and portfolio risk (%). Account Size ($) means the dollar value in your total account. Portfolio Risk (%) means how much risk you are willing to take per trade. (e.g. a 1% portfolio risk in a 5000$ account is 50$, which is the risk you will take per trade) After you provide these two inputs, the indicator will help you calculate how many shares you should buy based on the calculated Dollar Risk ($), real-time market price, and the low of the day price. (e.g. Dollar Risk (50$), real-time market price (100$), Lod price (95$) -> then you will need to buy 50/(100-95) = 10 shares to meet your demand, so it will display as Shares { 10 } ) In addition, I also introduce a mechanism that helps you avoid buying too big of a position relative to your overall account . I set the limit to 25%, which means you don't put more than 25% of your account money into a single trade, which helps prevent single stock risk. By introducing this mechanism, it will supervise if the suggested Shares to buy exceed max position limit (25%). If it actually exceeds, instead of using Dollar Risk ($) to calculate Shares, it will use position limit to calculate and display the max Shares you should buy. __________________________________________________________________________________ That's it. Hope you find this explanation helpful when you use this indicator. Have a great day mate:)
Pine Script® indicator
by sbgary22291
RSI Multi Levels kiawosch [TradingFinder] 7-14-42 Consolidation🔵 Introduction The Relative Strength Index or RSI is a tool used to measure the speed and intensity of price movement, oscillating between zero and one hundred. It is commonly applied to identify strength or weakness in market momentum across different time intervals. Despite its simple formula and wide usage, the behavior of RSI within specific ranges often provides more precise information than traditional overbought and oversold levels. The Multi RSI layout displays three RSI values with periods 7, 14 and 42. The seven period RSI plays the primary role in short term analysis. When this value enters predefined ranges, it shows highly consistent and interpretable behavior that can signal trend continuation, corrections or the start of a range structure. The other two values, RSI 14 and RSI 42, help reveal higher timeframe momentum and provide context for the depth and quality of price movement. Three potential zones are defined, each representing a behavioral range. The position zones forms the basis for signal interpretation : High Potential : 78 to 85 & 22 to 15 Mid Potential : 70 to 78 & 30 to 22 Low Potential : 58 to 62 & 42 to 38 These zones highlight areas where RSI reacts in specific ways to price movement. Entering the High Potential range usually aligns with new highs or lows in price and often precedes continuation after a correction. In contrast, reactions inside the Mid Potential range frequently appear during clean ranges or channel structures. This approach focuses on momentum quality and structural behavior rather than classic overbought and oversold thresholds. In summary, the logic behind the signals follows three principles : Trend continuation, When RSI 7 enters the High Potential zone and price prints a new high or low, continuation after a correction becomes the most likely outcome. Reversal or slowdown, When RSI exits the High Potential zone while price is reaching a previous high or low, the probability of a short term reversal increases. Range behavior, In clean ranges or channel structures, RSI 7 typically reacts inside the Mid Potential zone and produces consistent swing responses. 🔵 How to Use This method is based on observing the repeating behavior of RSI within momentum zones and identifying moments when price continues after a shallow correction or, conversely, when signs of slowing and reversal appear. RSI 7 plays the main role since it gives the most sensitive response to short term price changes. Its entry into or exit from a potential zone, combined with the position of price relative to recent highs and lows, forms the core of the signal logic. RSI 14 and RSI 42 provide higher timeframe confirmation and help evaluate the broader strength or weakness behind each movement. 🟣 Trend continuation after entering the High Potential zone When RSI 7 reaches the High Potential zone while price forms a new high or low, the probability of continuation becomes very high. The typical sequence includes a short correction in price and a retreat of RSI toward the Mid Potential zone. As long as price structure remains intact and RSI turns upward again, continuation becomes the most likely scenario. As shown in the charts, price often expands strongly after this type of correction and breaks the previous high. 🟣 Reversal or slowdown after exiting the High Potential zone If RSI 7 enters the High Potential zone but then exits while price is interacting with a previous high or low, conditions for a short term reversal appear. This behavior is clear in the charts, where price hits a supply or demand area and RSI can no longer return to the upper zone. The drop in RSI reflects weakening momentum and, when accompanied by a confirming candle, increases the chance of a reversal or at least a temporary pause. 🟣 Strong reversal after hitting the Mid Potential zone during deeper corrections Sometimes price enters a deeper corrective phase and RSI 7 moves into or through the Mid Potential zone. When this occurs near a previous low, it can mark the start of a significant reversal. The charts show this pattern clearly, where RSI turns upward while price reacts to support. If the other RSI values show relative alignment, the probability of a strong rebound increases. This signal is often seen after fast declines and can mark the beginning of a recovery wave. 🟣 Range structure and repetitive reactions inside the Mid Potential zone When price enters a clean range or channel, the behavior of RSI 7 changes completely. In such conditions, RSI repeatedly reacts inside the Mid Potential zone. Each time price touches the upper or lower boundary of the range, RSI approaches the upper or lower part of this zone as well. The result is a sequence of predictable swing reactions, perfectly suitable for mean reversion strategies. Breakouts in these environments also tend to show higher failure rates. 🟣 Sharp reactions and fast reversals at extreme levels (RSI near 90 or below 10) Although this approach is not based on classic overbought and oversold logic, extremely high or low RSI readings such as ninety often produce strong immediate reactions in price. These conditions usually occur after sudden spikes or emotional breakouts. As visible in the charts, RSI collapses quickly after reaching such extremes and price often reverses sharply. While not a core signal, these moments add meaningful context to momentum interpretation. 🔵 Settings RSI Setting : This section allows enabling or disabling the three RSI values, adjusting their calculation length and customizing their colors. It is designed to help separate short, medium and longer term momentum visually on the chart. Zones Setting : This section controls the display of momentum zones and the color applied to each area. Adjusting these colors or toggling them on and off helps the trader visually track the intensity and structure of momentum. Levels Setting : This section allows editing the numeric boundaries of the levels or showing and hiding each one individually. These levels form the visual framework for interpreting RSI behavior within the defined momentum zones. 🔵 Conclusion Examining RSI behavior across different momentum zones shows that entering these ranges creates relatively consistent patterns in price movement. Reaching the High Potential zone often corresponds to later stages of a trend, where price has the strength to continue after a brief correction and structure remains intact. In contrast, reactions within the Mid Potential zone occur more frequently when the market transitions into a range or a limited movement phase, where repetitive oscillations dominate. Overall, observing RSI inside these zones helps distinguish between trending movement, corrective phases and range conditions with greater clarity. Entry or exit from each zone provides insight into the underlying strength or weakness of momentum and reveals where the market is positioned within its movement cycle. This perspective, based on momentum regions rather than traditional values alone, offers a more refined understanding of price behavior and highlights the likely direction of the next move.
Pine Script® indicator
by TFlab
6
LETHINH Pinbar📌 PinBar Minimal Detector — Description (English) PinBar Minimal Detector is a clean and efficient tool designed to detect high-quality pin bars based purely on candle geometry. This script focuses on the core characteristics of a true pin bar: a long rejection wick and a small candle body, without adding unnecessary complexity. It is ideal for traders who want fast, reliable signal detection without noise. ⸻ ✨ Key Features • Detects both bullish and bearish pin bars. • Fully configurable wick/body ratio. • Optional filter for maximum opposite wick size. • Option to ignore candles with extremely small bodies. • Clean chart display with simple labels (“PIN”). • Includes alert conditions for automated notifications (webhook, popup, email, etc.). • Lightweight and optimized for fast execution on any timeframe. ⸻ 🔍 Detection Logic A candle qualifies as a bullish pin bar when: • The lower wick is at least X times larger than the body. • The upper wick is relatively small (optional filter). • The body is above the minimum body threshold. A candle qualifies as a bearish pin bar when: • The upper wick is at least X times larger than the body. • The lower wick is relatively small. • The body meets the minimum size requirement. This ensures that only candles showing strong rejection are highlighted. ⸻ ⚙️ Input Parameters 1. wick/body ratio Defines how many times longer the main wick must be compared to the candle body. For example: • 3.0 → wick must be at least 3× the body • 4.0–5.0 → only very strong pin bars 2. opposite wick max (factor) The maximum allowed size of the wick on the opposite side, relative to the body. Example: • 0.5 → opposite wick ≤ 50% of body • Lower values = stricter filtering 3. min body px Filters out candles with bodies that are too small (low volatility candles). 4. show labels Enable or disable the “PIN” labels on the chart. ⸻ 🚨 Alerts The script includes two built-in alert conditions: • Bullish PinBar Detected • Bearish PinBar Detected These alerts can be paired with: • TradingView notifications • Webhooks (for bots / automation) • Email or SMS alerts ⸻ 🎯 Use Cases • Identify high-probability reversal points • Enhance price action strategies • Combine with S/R zones, supply & demand, trendlines, or order blocks • Filter entries on lower timeframes while following higher-timeframe trend bias ⸻ 📘 Notes This is a minimalistic version by design. If you want a more advanced version (confirmation candle, volume filter, multi-timeframe filtering, trend direction filtering, etc.), this script can be expanded easily
Pine Script® indicator
by LEDUCTHINH98
Premarket&Regular Session VolumeThis script provides a clean and practical overview of premarket cumulative volume compared with regular session volume, helping traders instantly identify unusual early-session liquidity. Features Tracks total premarket volume from 4:00–9:30 ET Shows cumulative premarket buildup as a smooth line Helps detect early liquidity spikes that often lead to halts, gap-ups or momentum runs Designed for intraday scalpers and small-cap/momentum traders Why It’s Useful Premarket activity frequently reveals hidden demand long before the opening bell. When premarket volume significantly exceeds average daily levels, the probability of early spikes, volatility events, or continuation moves increases. This indicator offers a simple but powerful visual tool for evaluating market interest before the open and comparing it with regular session volume
Pine Script® indicator
by VaveRider
20MA / 200 MA Konvergenz & Elephant Bar FilterThe script creates a Momentum Filter designed to identify stocks that are currently exhibiting a transition from long-term price stability to short-term explosive volatility. 1. 🧘 Long-Term Stability Logic (Convergence) The first part of the script identifies assets in a state of tight consolidation. This suggests that market participants have reached a temporary equilibrium, creating pent-up energy for a future trend. A. Moving Average (MA) Proximity The script checks if the fast MA (20 periods) and the slow MA (200 periods) are very close together. It calculates the percentage difference, filtering for stocks where the separation between the two MAs is less than 2%. This defines the narrow range. This condition confirms that the short-term and long-term price trends are essentially flat and aligned. B. Price Nearness to the Long-Term MA It further ensures that the current closing price is also within a tight range (e.g., less than 2%) of the 200-period MA. This confirms the asset is actively trading at the center of the consolidation zone, simulating the "parallel" alignment of the MAs. 2. 💥 Explosive Breakout Logic (The Large Candle) The second part of the script looks for the catalyst—an event that signals a sudden shift in supply and demand, ending the period of calm. A. Above-Average Body Size The script calculates the average absolute size of the candle body (the distance between open and close) over the last 20 periods. It filters for stocks where the current candle body is at least three times (3x) larger than that historical average. This is the core signal of a powerful, convinced price move. B. High Body-to-Range Ratio To ensure the move was decisive and met little resistance, the script verifies that the candle body accounts for at least 85% of the candle's total range (high minus low). This eliminates candles with long wicks (shadows), which would indicate volatility but a lack of directional conviction. 🎯 Summary The combined screening identifies assets that have maintained long-term stability (MA convergence) but have just experienced a high-conviction, low-resistance breakout (Large Candle), indicating that a new, strong trend may be initiating.
Pine Script® indicator
by lothodl56