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L2L Zone Builder Pro by EAStudioAIOverview The L2L Zone Builder Pro is a dynamic, interactive background grid generator designed specifically for Level-to-Level (L2L) traders, Smart Money Concepts (SMC) practitioners, and volume traders. Instead of cluttering your chart with dozens of static horizontal lines, this tool allows you to build a clean, infinitely extending, and perfectly scaled visual matrix based on a single Key Zone (such as a High Volume Node or a critical support/resistance block). How It Works This indicator utilizes TradingView's interactive input.price functionality combined with a heavily optimized single-execution loop. It calculates the exact height of your selected reference zone and automatically projects alternating background grids across the entire Y-axis. The script is highly optimized to render only once, ensuring zero lag or re-rendering on every price tick, keeping your browser and platform running smoothly. How to Use Add the indicator to your chart. Your cursor will turn into a crosshair. Click the first point to define the Top Level of your base zone. Click the second point to define the Bottom Level (this sets the permanent grid spacing). The tool will instantly generate a structural grid across the chart. Optional: Open the indicator settings to customize the grid color and transparency to fit your chart theme perfectly. Trading Application This tool is perfect for analyzing volatile assets like XAUUSD or Futures indices. Zone Mapping: Anchor the initial box to a High Volume Node (HVN) or a major consolidation zone. The extended grid will reveal symmetrical psychological levels. SMC & LCE: Use the defined zones to anticipate liquidity sweeps and wait for a Market Structure Shift (MSS) or Level Confirm Execution (LCE) precisely at the edges of the grid. Clean Workflow: Ideal for traders utilizing a two-screen workflow (e.g., charting on TradingView while executing on a prop firm platform), providing a distraction-free map of the market battlefield. Elevate your chart structure and trade level-to-level with precision.
Chỉ báo Pine Script®
của Narerit
J.TRADER - Professional Sniper V.04J.TRADER - Professional Sniper V.04 (Institutional Flow) สคริปต์นี้ถูกออกแบบมาเพื่อนักเทรดที่ต้องการเทรดตามรายใหญ่ (Smart Money) โดยเน้นความแม่นยำในการหาจุดกลับตัวและการไหลของราคา (Price Flow) พร้อมระบบบริหารความเสี่ยงแบบมืออาชีพ คุณสมบัติหลัก: Smart Sniper Entry: ระบบตรวจจับจุดเข้าเทรดด้วยเส้น EMA Signal ที่ปรับจูนมาเพื่อลดสัญญาณหลอก (False Signals) Institutional Volume Analysis: ไฮไลท์แท่งเทียนที่มีปริมาณการซื้อขายสูงผิดปกติ เพื่อระบุจุดที่รายใหญ่เข้าสะสมสถานะ Auto TP/SL with Hit Detection: ระบบคำนวณเป้าหมายกำไร 5 ระดับ (TP1 - TP5) และจุดตัดขาดทุนอัตโนมัติอ้างอิงตามความผันผวน (ATR) พร้อมแสดงอิโมจิ 🔥 เมื่อราคาชนเป้าหมาย Real-time Dashboard: ตารางมอนิเตอร์ความแข็งแกร่งของเทรนด์ (Bull/Bear Score), RSI, และ ADX เพื่อช่วยในการตัดสินใจ Visual Luxury Design: อินเทอร์เฟซสีทอง-ดำ (Black & Gold) ที่สะอาดตาและดูพรีเมียม วิธีการใช้งาน: BUY: รอสัญญาณ "BULL FLOW" สีทองใต้แท่งเทียน เมื่อราคาอยู่เหนือเส้น VWAP และมีแรงซื้อสนับสนุน SELL: รอสัญญาณ "BEAR FLOW" สีขาวบนแท่งเทียน เมื่อราคาอยู่ต่ำกว่าเส้น VWAP Smart Money: สังเกตแท่งเทียนสีทอง (High Volume) ซึ่งมักจะเป็นจุดเริ่มของการกระชากราคา
Chỉ báo Pine Script®
của Trader_j_official
Conflux Engine | AnonycryptousConflux Engine | Anonycryptous Description & user manual Why this indicator is different? Most signal indicators work the same way. One condition triggers. One signal fires. The trader either takes it or does not. The problem is that a single condition — a crossover, a level break, a momentum read — is almost never enough to define a genuinely high-quality trade. Markets are too complex and too noisy for that. Conflux Engine works differently. It does not fire on one condition. It requires multiple independent market forces to align simultaneously before a signal appears. Structure has to agree. Volume has to confirm. Momentum has to support. Volatility has to be in the right zone. Session positioning has to be favorable. And optionally, the higher timeframe trend and the ribbon have to be aligned too. Only when enough of these forces agree — and agree clearly — does the indicator produce a signal. This is what confluence means in practice. Not one thing being right. Multiple independent things being right at the same time. The result is fewer signals. But the signals that do appear carry more weight than anything a single-condition system can produce. Important notice Conflux Engine generates trading signals based on a multi-factor scoring engine. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. They are a systematic read of current market conditions across multiple dimensions. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Conflux Engine is a scoring-based signal indicator for traders who want structured, high-conviction entries rather than frequent, noisy ones. Six independent pillars evaluate the market continuously. Each pillar scores independently. The scores combine into a total out of 100. When the total exceeds the signal threshold — and the dominant direction leads the opposite direction by a minimum gap — a signal fires. Additional hard gates can be enabled: an ADX noise filter to block signals during choppy markets, a VWMA filter to ensure macro trend alignment, a Supertrend filter for dynamic trend confirmation, and an Ultra Ribbon filter using 15 Hull Moving Averages for the fastest momentum read. The result is an indicator that is selective by design. It is not built to fire constantly. It is built to fire well. 2. The six pillars 2.1 Structure Evaluates market structure using swing pivot highs and lows. A higher high combined with a higher low defines a bullish structure. A lower high combined with a lower low defines a bearish structure. This pillar answers the most fundamental question in trading: is the market making progress in a direction, or is it deteriorating? Weight: up to 16 points. 2.2 Volume Uses OBV slope via linear regression to determine whether volume is accumulating in the direction of price or diverging from it. Rising OBV slope on a bullish signal means participation supports the move. Falling OBV slope on a bullish signal is a warning. This pillar separates moves with institutional backing from moves without it. Weight: up to 16 points. 2.3 Momentum Evaluates three independent momentum reads: KAMA position (a Kaufman adaptive moving average that adjusts its speed to market conditions), RSI relative to the 50 midline with slope direction, and Williams %R for price positioning within the recent range. Two of three aligned scores partial points. All three aligned scores full points. Weight: up to 16 points. 2.4 Liquidity Detects sweep events — moments where price wicks beyond a recent swing high or low and closes back inside. These events mark liquidity grabs and often precede directional moves. A confirmed bull sweep sets up a long bias context. A confirmed bear sweep sets up a short bias context. The context remains active for a configurable number of bars, decaying over time. Weight: up to 16 points. 2.5 Volatility Measures ATR relative to its own moving average to identify the volatility sweet spot. Signals during dead, flat markets carry less meaning. Signals during chaotically explosive moves are harder to execute cleanly. This pillar rewards the in-between: active, directional, manageable volatility. Weight: up to 16 points. 2.6 Session Evaluates price positioning within the current day's developing range. Price in the lower portion of the range (discount) favors long bias. Price in the upper portion (premium) favors short bias. This pillar can be toggled independently from the session time filter — you can use session scoring without restricting signals to specific hours, or vice versa. Weight: up to 20 points. 3. Hard gates Beyond the six scoring pillars, Conflux Engine includes four optional hard gates. These do not add points. They block signals entirely when their condition is not met. 3.1 ADX noise filter Blocks signals when ADX is below a configurable threshold. ADX measures trend strength. A low ADX means the market is ranging and directionless — exactly the environment where momentum signals fail most often. Default threshold: 35. Adjustable up to 100 for maximum selectivity. 3.2 VWMA filter Price must be above the Volume Weighted Moving Average for long signals, and below it for short signals. The VWMA is slower than a standard EMA and reflects the average price weighted by volume — a more meaningful macro reference than a simple average. Default length: 200. 3.3 Supertrend filter The Supertrend must confirm the signal direction. This is a dynamic trend line based on ATR bands that flips cleanly between bull and bear states. It acts as an additional structural confirmation that the trend environment supports the entry. 3.4 Ultra Ribbon filter The fastest gate. Built from 15 Hull Moving Averages spanning a range of lengths. When the fastest HMA is above the slowest HMA, the ribbon is bullish. When below, bearish. Because Hull MAs minimize lag, this gate reacts to trend changes earlier than most moving average systems. The ribbon also serves as a trailing stop option in the backtest — the slowest HMA tracks trend without being too reactive. 4. Signal scoring Every bar, both a bullish and bearish score are computed from the six pillars. The scores are added together. A signal fires when: - The dominant score meets or exceeds the signal threshold (default 70) - The dominant score exceeds the opposite score by at least the directional lead (default 20) - All enabled hard gates are cleared This two-condition check — threshold plus gap — prevents marginal signals from appearing when the market is ambiguous. Both bull and bear can score reasonably high during mixed conditions. The gap requirement ensures the dominant direction is meaningfully ahead. Pillar weights are individually adjustable. The system allows traders to prioritize the factors most relevant to their trading style and instrument. The Extreme Threshold (default 90) flags signals where the confluence score is exceptionally high. These are the highest-conviction setups in the system. 5. The Ultra Ribbon The Ultra Ribbon is a 15-layer Hull Moving Average ribbon that sits on the chart as both a visual trend tool and a momentum gate. Three themes are available: Classic — green and red. Clear, functional, no ambiguity. Phantom — cyan and pink with purple exhaustion. A darker, stylized read of the same data. (the default) Custom — full color control for bull, bear, and exhaustion states. The ribbon color adapts dynamically. When the spread between the fastest and slowest HMA is wide relative to its historical average, the ribbon fades toward the exhaustion color — a visual signal that the trend may be overextended. When the spread is moderate, the ribbon shows its full trend color. Candle coloring follows the ribbon's bull/bear state continuously, giving an immediate read of trend direction on every bar. The dashboard accent color and signal indicators follow the active theme, giving the entire indicator a unified visual identity across chart and panel. 6. Multi-timeframe filter When enabled, the MTF filter evaluates the trend on a higher timeframe using a 50-period EMA. If the higher timeframe trend agrees with the signal direction, a weight bonus is added to the total score. If it disagrees, no bonus is added — but the signal is not blocked unless the score falls below threshold as a result. This behavior is intentional. The HTF filter adds weight to aligned signals without making every counter-trend setup impossible. It rewards confluence with the bigger picture without enforcing hard alignment. Default timeframe: 240 (4-hour). Default weight bonus: 20 points. 7. Backtest and performance tracking Confluence Engine includes a built-in performance tracker that logs every signal, applies configurable stop and target multipliers based on the current regime, and tracks wins, losses, and win rate across the visible history. Stop loss modes: - ATR — a fixed multiple of ATR from the entry price. Simple and consistent. - Pivot — stop placed at the most recent swing low (for longs) or swing high (for shorts). Respects structure. - Supertrend — stop placed at the dynamic Supertrend level at the time of entry. Tighter and adaptive. - Trailing (h15) — stop follows the slowest HMA of the Ultra Ribbon. Trends with the market and gives winners more room. Target multipliers are adjustable for each regime: Scalp, Intraday, and Swing. The regime is determined by the current ADX value. Recent log shows the last three trade results in R multiples. This gives a quick read on recent system performance without requiring a separate journaling tool. Note: the backtest uses bar close logic and approximated fill prices. It is a directional performance reference, not a precise simulation. Session filtering does not retroactively apply to historical trades — enabling session filtering after a test period will affect forward signals but not past performance data. 8. Dashboard reference The dashboard updates on every bar and shows: - Header: indicator name and current timeframe - Pillar rows 1–6: score per pillar, colored by direction - HTF Trend: higher timeframe alignment and weight (when MTF enabled) - Signal: LONG / SHORT / WAIT with direction color - Win Rate: percentage of tracked signals that hit target - Recent Log: last three results in R multiples - Score: total confluence score out of 100 - Session: OPEN or FILTERED The dashboard header and accent colors follow the active ribbon theme. Tiny, Small, and Normal size options are available. 9. Settings reference General Settings - Signal Threshold: minimum score to trigger a signal (50–95, default 70) - Extreme Threshold: score above which extreme confluence is flagged (80–100, default 90) - Directional Lead: minimum gap between bull and bear score (default 20) Multi-Timeframe Trend - Enable MTF Filter - HTF Timeframe (default 240) - HTF Weight (default 20) Quality Filters (Noise Reduction) - Enable ADX Noise Filter - Min ADX Value (0–100, default 35) Trend Confirmation - Enable VWMA Filter + length - Enable Supertrend Filter + ATR length + multiplier - Show/hide Supertrend and VWMA lines Pillar Weights - Individual weight for each of the six pillars Session Filtering - Filter Entries by Session (time gate) - Enable Session Pillar Scoring (premium/discount scoring) - Trading Session input Trade Suggestions (ATR Multipliers) - SL and TP multipliers for Scalp, Intraday, and Swing regimes Ultra Ribbon - Enable Ribbon Filter - Show Ribbon on Chart - Base Length and Length Step - Theme: Classic / Phantom / Custom - Custom color inputs (bull, bear, elite) Backtest & UI - Enable Performance Tracking - Start Year - Show Active Trade Lines - Show Recent Trade Log - Stop Loss Mode: ATR / Pivot / Supertrend / Trailing (h15) UI Settings - Show Dashboard - Dashboard Position - Dashboard Size: Tiny / Small / Normal 10. How to use 10.1 Initial setup 1. Load the indicator on your preferred chart and timeframe. 2. Select a ribbon theme that matches your visual preference. 3. Set the signal threshold based on your desired selectivity. Start at 70. 4. Set the directional lead. 15–20 is a balanced starting point. 5. Enable the hard gates relevant to your style. For intraday trading, ADX + Supertrend is a strong combination. For swing trading, VWMA + MTF adds macro context. 6. Configure the session scoring if you trade specific sessions. NY traders: set session to 1330–2000 UTC (or your local equivalent). 7. Set your backtest start year and stop mode preference. 10.2 Reading a signal When a signal appears: - Check the dashboard. Which pillars are active? A signal with Structure + Volume + Momentum all scoring is stronger than one carried primarily by Session and Volatility. - Check the score. A signal at 72 with a 20-point gap is valid but tight. A signal at 88 with a 30-point gap is a high-conviction setup. - Check the ribbon. Is it cleanly bullish or bearish? Is it near exhaustion color? Signals during ribbon exhaustion carry more risk. - Check the hard gates. They cleared — but were they close? A signal that barely cleared ADX 35 is different from one with ADX at 55. 10.3 Managing entries Confluence Engine does not tell you the exact entry price. It tells you when conditions align. Your entry technique — pullback, breakout, limit at structure — remains your decision. Use the stop mode that fits your trade: ATR for consistency, Pivot for structure-respect, Supertrend for dynamic adaptation, Trailing h15 for trend trades you want to hold. 10.4 Interpreting win rate The built-in win rate is a useful reference, not a guarantee of future performance. A 65% win rate over 50 signals on a specific asset and timeframe tells you the system has been profitable in that environment. It does not guarantee the next signal wins. Win rate should always be evaluated alongside average RR. A 60% win rate at 2R average beats a 70% win rate at 0.8R average. Use the recent log and the trade lines together to assess both dimensions. 10.5 Optimizing settings If you see too many signals: raise the threshold, raise the directional lead, raise the ADX minimum, or enable additional hard gates. If you see too few signals: lower the threshold slightly, reduce the directional lead, or disable one or two hard gates. Do not optimize purely for win rate without considering signal frequency. A system that fires once per week at 80% win rate is different in practice from one that fires daily at 65%. Both can be profitable. Choose what fits your trading style. 11. Timeframe guide 1m–5m — Ultra Ribbon filter on, ADX threshold 30–40, Supertrend on, session scoring on. Focus on fast momentum signals during active sessions. 15m–30m — Full filter stack recommended. Threshold 70–75. Strong balance of frequency and quality. 1H–4H — VWMA and MTF filter add significant value. Threshold 75–80. Fewer signals, higher conviction. Daily — Disable session scoring. Enable VWMA and MTF only. Use as swing context, not scalp tool. 12. What this indicator does not do - Does not predict price direction with certainty - Does not guarantee profitability - Does not replace your own risk management - Does not account for news events, gaps, or liquidity voids - Does not track open positions in real time - Does not connect to any broker or execution system - Does not replace the Risk Management Engine for position sizing and account compliance For position sizing, drawdown compliance, and trade logging, pair with Risk Management Engine | Anonycryptous. For complete session analysis and market context, pair with Environment | Anonycryptous. Together, the three tools cover strategy context, signal generation, and risk execution — a complete framework for structured trading. 13. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation. All trading decisions are made entirely by the user. The indicator provides signal analysis based on configurable parameters — the relevance of any output depends on how those parameters are set and the market conditions in which the indicator is used. Trading financial instruments involves substantial risk of loss. Past performance of the backtest function is not indicative of future results. You may lose all of your invested capital. Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator or any content in this manual.
Chỉ báo Pine Script®
của Anonycryptous
6 EMA 20 EMA Crossover Alert6 EMA 20 EMA Crossover Alert The 6 EMA / 20 EMA setup is a simple trend-following tool using two exponential moving averages on a chart in TradingView. The 6 EMA reacts quickly to price and tracks short-term momentum. The 20 EMA moves slower and represents the broader, short-term trend. When the 6 EMA crosses above the 20 EMA, it suggests momentum is turning bullish. When it crosses below, it signals potential bearish momentum. In plain English, it’s a quick way to see when short-term price action is starting to overpower the current trend.
Chỉ báo Pine Script®
của meanyface229
PGS - Pareto-Gaussian Skew [Zofesu]PGS - Pareto-Gaussian Skew is a trend gravity indicator built on two mathematical principles: the Gaussian distribution for detecting statistically significant price moves, and the Pareto principle for isolating the minority of moves that drive the majority of directional displacement. The result is a single adaptive line that acts as a gravitational center — pulling toward institutional price displacement while filtering out the noise that makes standard moving averages lag or whipsaw. ───────────────────────────────────── 01 — What is PGS? ───────────────────────────────────── PGS plots a gravity line that tracks where price is being pulled by significant institutional moves. Unlike a standard moving average, it does not react to all price movement equally. It reacts only when price moves beyond one standard deviation from its mean — the threshold where statistically normal noise ends and directional displacement begins. Below that threshold, the line stays anchored to the mean. Above it, the Pareto Skew Factor shifts the gravity line toward the extreme, capturing the 20% of moves that drive 80% of the trend. ───────────────────────────────────── 02 — How it works ───────────────────────────────────── The engine runs in three steps: Step 1 — Mean and standard deviation SMA and standard deviation are calculated over the lookback window (default 100 bars). This defines the Gaussian baseline — the statistical center of recent price behavior. Step 2 — Extreme detection The distance between current close and the mean is measured. If that distance exceeds 1x standard deviation, the move is classified as extreme. Moves within 1 standard deviation are treated as noise and ignored. Step 3 — Pareto displacement Extreme moves are multiplied by the Pareto Skew Factor (default 0.8). This skewed value is then smoothed with an EMA over a quarter of the lookback period and added back to the mean — producing the final gravity line. Formula: gravity = SMA(close, n) + EMA(d × extreme × skew, n/4) where d = close − SMA(close, n), extreme = 1 if |d| > StDev else 0 ───────────────────────────────────── 03 — Visuals ───────────────────────────────────── Blue line — Pareto-Gaussian gravity line Tension Cloud — fill between price and the gravity line. Green fill = price above gravity line (bullish tension). Pink fill = price below gravity line (bearish tension). Note: Price Reference and PGS Reference appear in the indicator's plot list but are invisible on the chart. They are internal anchors required by Pine Script's fill() function and serve no visual or analytical purpose for the user. ───────────────────────────────────── 04 — Settings ───────────────────────────────────── Smith's Memory (Lookback) — default 100 Number of candles used for the Gaussian baseline. Higher = slower, more stable line. Lower = faster, more reactive. Pareto Skew Factor — default 0.8 Weight applied to extreme moves. Higher = gravity line shifts more aggressively toward institutional displacement. Lower = more conservative, stays closer to the mean. ───────────────────────────────────── 05 — How To Use ───────────────────────────────────── Step 1 — Read the Tension Cloud Green fill = price is above the gravity line. Bullish context — look for longs or hold existing positions. Pink fill = price is below the gravity line. Bearish context — look for shorts or avoid longs. Step 2 — Watch for gravity line crossings Price crossing the gravity line from below = potential bullish shift. Price crossing from above = potential bearish shift. Step 3 — Use as dynamic support and resistance In trending markets the gravity line acts as a dynamic S/R level. Price pulling back to the line in a green cloud = potential long entry zone. Step 4 — Combine with higher timeframe context PGS works best as a trend context filter alongside entry tools. It defines the direction — your entry indicator defines the moment. Works on all asset classes: Indices, Forex, Gold, Oil, Crypto. Best timeframes: H1, H4, D1.
Chỉ báo Pine Script®
của Zofesu
GFX CISDThis indicator is designed to identify CISD (Change in State of Delivery) with precision and clarity, helping traders visualize shifts in market structure and potential directional bias in real time. Built with a focus on simplicity and accuracy, GFX CISD highlights key moments where price delivery changes, allowing traders to anticipate continuation or reversal setups with confidence. 🔹 Key Features: -Automatic detection of CISD (Change in State of Delivery) -Clean and minimal visual plotting directly on candle opens -Optimized for indices, forex, and commodities -Helps confirm entries alongside displacement and structure -Designed for intraday and scalping strategies 🔹 How to Use: Use CISD signals in confluence with your existing strategy (e.g., VWAP, EMAs, kill zones, or higher timeframe bias). A valid CISD can indicate a shift in delivery, often leading to high-probability setups when aligned with market structure. 🔹 Philosophy: This tool is not meant to be used in isolation. It is built to enhance decision-making, improve timing, and bring clarity to price action.
Chỉ báo Pine Script®
của GeraldHildebrand
Candle Fingerprint [TradingIQ]Hello Traders! 🔹 Candle Fingerprint Candle Fingerprint is a pattern-based analysis tool designed to study how price has typically behaved after specific candle structures. Instead of treating candles as isolated events, this tool compares current candles to historical ones and shows what has usually happened next in similar situations . Think of it as a way to find historical matches and outcomes for the current candle , not as a fixed prediction engine. finds candles with similar structure in the past compares body size, wicks, volatility, and close position tracks whether price typically continued or reversed shows continuation vs reversal rates displays typical move after similar candles optional streak-based behavior analysis 🔹 What the tool shows 🔸 Candle similarity matching The script analyzes the current candle and searches historical data for candles with similar structure. It compares multiple components such as body size, wick proportions, volatility, and where the candle closed within its range. This helps reveal: which past candles looked similar to the current one how those candles behaved afterward whether similar setups tended to continue or reverse Instead of assuming what a candle means, you get a historical reference for how similar structures have behaved before . 🔸 Continuation vs reversal behavior Once similar candles are found, the script tracks what happened next. It calculates how often price continued in the same direction versus reversing. This allows you to see: whether continuation or reversal has been more common the relative strength of that tendency how consistent the behavior has been across samples This provides context around the current candle, rather than a guaranteed outcome. 🔸 Typical move after the candle In addition to direction, the script measures how far price typically moved after similar candles. It calculates median moves for both continuation and reversal scenarios. This helps show: the typical size of follow-through moves the difference between continuation and reversal magnitude how strong or weak reactions have been historically This is not about predicting an exact move, but about understanding what has commonly happened in the past . 🔸 Visual similarity mapping The script highlights the most similar historical candles directly on the chart. This gives a visual reference for how past setups formed and evolved. This helps you: see real examples of similar price behavior compare structure side by side understand how the current setup fits into historical context 🔸 Candle streak model In addition to similarity, the script includes a streak-based model that tracks sequences of consecutive up or down closes. This allows you to analyze: what has typically happened after multiple up closes what has typically happened after multiple down closes how continuation vs reversal tendencies shift with streak length This provides a different lens focused on momentum sequences rather than structure . 🔸 Confidence context The tool evaluates how reliable the observed behavior is based on sample size and consistency. This helps you understand: whether the data is meaningful or limited how much weight to give the observation when patterns appear more or less stable 🔹 How to read it Each component gives a different layer of insight: Candle structure → what the current candle looks like Similarity matches → where this pattern appeared before Continuation rate → how often price continued Reversal rate → how often price reversed Typical move → how far price typically moved afterward Streak context → how sequences of candles have behaved 🔹 Why this tool is useful It gives you: a structured way to compare current candles to historical ones context for whether a setup has tended to continue or reverse typical move expectations based on past behavior a data-driven alternative to subjective candle interpretation multiple perspectives using both structure and streak behavior 🔹 Best use cases analyzing individual candle behavior comparing current setups to historical patterns studying continuation vs reversal tendencies understanding momentum through candle streaks adding contextual data to price action analysis 🔹 Important note This tool is based entirely on historical observations and pattern matching. That means: it reflects past behavior, not guaranteed outcomes it should not be treated as a predictive or deterministic model similar candles can still produce different results outputs are best used as context, not certainty 🔹 Inputs you can customize The script includes flexible controls such as: model selection (similarity or streak) candle selection method table display and positioning similarity weighting (body, wicks, volatility, close) history table settings visual offset and layout Closing Notes Candle Fingerprint is built to shift the focus from what a candle looks like to how similar candles have behaved historically . It does not attempt to predict the future, but instead provides a structured view of what has typically happened in comparable situations , allowing you to make more informed, contextual decisions. Thank you for checking it out!
Chỉ báo Pine Script®
của Trading-IQ
6
Adaptive HalfTrend+ [MAB]Adaptive HalfTrend+ is a self-optimizing trend-following indicator that dynamically selects the most effective amplitude Instead of relying on a fixed amplitude like the traditional HalfTrend, this indicator continuously evaluates multiple amplitude settings and automatically selects the one that has been performing best on recent price action — delivering a smoother, more responsive trend structure that adapts to changing market conditions. 🔶 HOW IT WORKS The classic HalfTrend indicator depends on a fixed amplitude value to determine trend structure, which can lead to lag in fast markets or noise in choppy conditions. Adaptive HalfTrend+ solves this by running multiple HalfTrend calculations in parallel across a defined amplitude range. Each amplitude: Generates its own trend state and channel structure Tracks price behavior using a performance scoring system Is evaluated based on how well it aligns with directional movement On every bar: The highest-performing amplitude is selected Its corresponding trend line and ATR-based channel are applied The active amplitude is displayed for transparency This creates a trend-following system that continuously adapts its sensitivity to match current market structure — reducing lag while maintaining stability. 🔶 USAGE 🔹 Trend & Structure Blue HalfTrend line — Bullish trend active. Price is in an upward structure, with the line acting as dynamic support. Red HalfTrend line — Bearish trend active. Price is in a downward structure, with the line acting as dynamic resistance. The line adjusts based on the selected optimal amplitude, allowing it to stay tight during strong trends and widen during volatile phases. 🔹 Channels & Volatility Context Upper and lower dotted bands — ATR-based channel around the HalfTrend line. Blue fill — Bullish zone, indicating support-driven movement. Red fill — Bearish zone, indicating resistance-driven movement. These channels help visualize volatility expansion and potential reversal zones. 🔹 Trade Signals Blue triangle / “Buy” label — Bullish signal. Trend flips from bearish to bullish. Red triangle / “Sell” label — Bearish signal. Trend flips from bullish to bearish. Signals are generated when the adaptive trend state changes, reflecting a shift in market structure validated by the selected amplitude. 🔶 SETTINGS 🔹 Calculation Settings Min Amplitude — The smallest amplitude included in the test range. Produces more sensitive, faster signals. Max Amplitude — The largest amplitude included in the test range. Produces smoother, slower trend detection. Channel Deviation — Controls the width of the ATR-based channel around the trend line. Higher values expand the channel. 🔹 Visual Settings Show Arrows — Toggle triangle signals on/off. Show Channels — Toggle ATR channel bands and fills. Show Buy/Sell Labels — Toggle text labels for signals. 🔶 NOTES Suitable for all markets and timeframes. Works best as a trend-following tool and structure identifier. Adaptive amplitude selection helps reduce noise in ranging markets while staying responsive in trends. Channels provide additional context for volatility and potential reversal zones. The displayed amplitude reflects the currently optimal setting based on recent performance. Past performance of any selected amplitude does not guarantee future results — always apply proper risk management.
Chỉ báo Pine Script®
của MarketAlgoBot
Fair Value Gap Auto-Fill Tracker [DefinedEdge]This indicator detects Fair Value Gaps (3-candle imbalances) and automatically tracks whether they get filled — replacing guesswork with hard data. A built-in dashboard shows fill rate, average fill speed, and active gap count in real time. Most FVG indicators just draw boxes. This one tells you how reliable those gaps actually are on your chart. How It Works: A bullish FVG forms when the current candle's low is above the candle-two-bars-ago's high, creating an upside imbalance. Bearish is the mirror. Each gap is sized as a percentage of price and filtered by min/max thresholds to remove noise and news spikes. Gaps that overlap older active gaps replace them to keep the chart clean. Once detected, every gap is tracked bar-by-bar until one of three things happens: it gets filled, it expires, or it stays active. Fill Modes: Touch (Wick) — counts as filled when price touches the gap edge CE / 50% — filled when price reaches the Consequent Encroachment (midpoint), the standard ICT target Full (100%) — only counts when the entire gap is closed Switch between modes to see how fill behavior changes on your chart. Features Fill Rate Dashboard — live bull/bear/total fill %, avg fill speed in bars, active count CE Midline — dashed line at the gap midpoint TP Projections — 1x and 2x gap-height targets from the gap edge Gradient Intensity — larger gaps are more opaque for visual weight Gap % Label — imbalance size printed inside each zone Session Filter — only detect FVGs during a specific session window State Lifecycle — Active (bright, solid border) → Filled (faded, dashed) → Expired (gray, dotted) Overlap Dedup — newer gaps that overlap older ones clean up automatically Recommended Settings Swing (4H/Daily): Min 0.3%, Max 8%, Expire 200 bars, CE mode Intraday (15m/1H): Min 0.1%, Max 5%, Expire 100 bars, CE mode Scalping (1m/5m): Min 0.05%, Max 3%, Expire 50 bars, Touch mode Works on any asset and any timeframe.
Chỉ báo Pine Script®
của DefinedEdge
Adaptive Ichimoku+ [MAB]Adaptive Ichimoku+ is a self-optimizing trend and structure indicator that dynamically selects the most effective Ichimoku parameters Instead of relying on fixed Tenkan-sen and Kijun-sen periods, this indicator continuously evaluates multiple configurations and automatically selects the ones that have been performing best on recent price action — delivering an Ichimoku system that adapts to evolving market structure and trend conditions. 🔶 HOW IT WORKS Traditional Ichimoku uses fixed parameters (9-26-52), which may not suit all market environments. Adaptive Ichimoku+ enhances this by dynamically optimizing its core components: Tenkan-sen (Conversion Line) → Multiple short-term periods are tested Kijun-sen (Base Line) → Multiple medium-term periods are evaluated Each configuration is scored using an exponential performance model that measures how consistently price respects the selected levels. On every bar: The best-performing Tenkan period is selected The best-performing Kijun period is selected These are used to construct the full Ichimoku system The remaining components: Senkou Span A → Midpoint of adaptive Tenkan and Kijun Senkou Span B → Standard midpoint (user-defined period) Chikou Span → Lagging price This results in a fully adaptive Ichimoku structure that adjusts to both trend strength and market conditions. 🔶 USAGE 🔹 Trend & Structure Blue line — Adaptive Tenkan-sen (short-term momentum) Pink line — Adaptive Kijun-sen (trend baseline) Price above Kijun — Bullish structure Price below Kijun — Bearish structure 🔹 Cloud (Kumo) Green cloud — Bullish environment (Span A above Span B) Red cloud — Bearish environment (Span A below Span B) The cloud dynamically reflects support/resistance zones and trend strength. 🔹 Key Signals Tenkan / Kijun Cross — Momentum shift within the trend Price vs Kijun — Trend confirmation Price vs Cloud — Market regime (trend vs consolidation) Because the underlying parameters are adaptive, these signals are aligned with the most relevant structure for current price action. 🔶 SETTINGS 🔹 Adaptive Engine Perf EMA Length — Controls how quickly the parameter selection adapts. Lower values react faster; higher values provide stability. 🔹 Ichimoku Settings Cloud Displacement — Forward shift applied to the cloud (standard Ichimoku behavior) Senkou Span B Period — Lookback period for Span B calculation 🔶 NOTES Suitable for all markets and timeframes. Works best as a complete trend, structure, and support/resistance system. Adaptive parameter selection helps improve responsiveness while maintaining stability. Can be used for trend following, breakout confirmation, and dynamic support/resistance analysis. Past performance of any selected parameter does not guarantee future results — always apply proper risk management.
Chỉ báo Pine Script®
của MarketAlgoBot
GFX Multi Timeframe DashboardThis indicator is designed to provide a clear and structured view of market direction across multiple timeframes using key exponential moving averages (EMAs). The dashboard simplifies decision-making by aligning higher timeframe bias with lower timeframe execution, helping traders stay consistent with trend direction and avoid low-probability setups. Key Features: -Multi-timeframe trend overview in one clean dashboard -Three EMA-based directional bias for accurate trend identification -Real-time updates for faster decision-making -Helps filter trades based on higher timeframe confluence -Clean and minimal design for distraction-free trading This tool is ideal for traders who focus on precision, discipline, and trading with confirmation rather than guessing market direction. Use it as a confluence tool alongside your strategy to improve consistency and confidence in your trades.
Chỉ báo Pine Script®
của GeraldHildebrand
ATH Base Cloud Indicator웨돔이가 쓰는 ATH Base의 구름대 지표를 대충 모방한 지표입니다. 아마 ATH Base 만든 걔네들은 저 선들에다가 Envelope같은 밴드만 추가해서 쓰는 걸로 추측됨. 만약에 완벽하게 모방하고 싶으면 저 지표 각 선들마다 밴드 붙여서 따로 사용하세요. 지표로 날먹하려는 레퍼럴 충들 따끔하게 혼내려고 오늘 깔짝거리면서 만든 지표입니다. 추세 끝판왕 지표라고 지들 커뮤니티에 써놓긴 했던데 사실 로직 다 뜯어보면 일반 이평선 지표랑 크게 다를 거 없음여 ㅋㅋㅋ 그래도 나름 매매할 때 도움될 것 같기도 합니다. ㅅㄱ
Chỉ báo Pine Script®
của TraderCloud_135
3
Trend ZigZag Strategy by LANZ🔷 Trend ZigZag Strategy by LANZ is a visual trading indicator built for traders who want market structure, BOS retest planning, and trade tracking inside one clean workflow. This is an indicator, not an automated strategy. It is designed to help you identify structure, define a valid retest setup, visualize risk, and monitor outcomes directly on the chart. The script starts with a ZigZag-based structure engine that identifies confirmed swing sequences and builds the active range used to classify breaks as BOS or ChoCh. That structure is not included as decoration only: it is the foundation of the trade model. BOS events are used to create tradable retest setups, while ChoCh events are intentionally excluded from execution logic. This keeps the tool focused on continuation-style structure behavior instead of mixing continuation and reversal logic into the same trigger. A BOS can create a pending setup only during the selected operational window, which is based on New York time by default. This makes the indicator useful for traders who want structure-based entries only during a specific intraday session instead of evaluating every break across the entire day. You can also display the active operational background on the chart for quick visual confirmation. Once a valid BOS appears, the script prepares a retest setup using the BOS level as Entry Point. At that moment, the indicator can already project the complete trade map on the chart: EP line SL line TP line This is intentional. You do not need to wait for the retest candle to see where the setup would be executed, where the risk sits, or where the 1:1 target is located. Stop Loss placement is flexible. You can choose between: Last Pivot Maker If Maker is selected but no valid Maker is available for that setup, the script automatically falls back to Last Pivot. This keeps the logic robust and prevents empty or invalid setups. The trade activation model is based on BOS retest behavior. A setup remains pending until price retests the BOS level. If another valid BOS appears before that retest happens, the previous pending setup is discarded and replaced by the new one. In other words, pending setups do not stack. The script always prioritizes the most recent valid BOS setup. For active trades, you can choose how the indicator handles flow: Wait for current trade to close Allow simultaneous trades This setting applies to active trades, not to pending setups. Pending setups remain one at a time by design, while activated trades can remain isolated or coexist depending on the selected mode. Trade outcomes are tracked visually on the chart. The script measures: Stop Loss = -1.00% Take Profit = +1.00% Forced close = dynamic percentage based on price at the manual closing moment All open trades and pending setups are closed or cancelled at 16:00 New York time. The script uses a time-crossing approach for this event, so it does not depend on having an exact 16:00 candle on every chart resolution. The visual module is highly customizable. You can adjust: Trade label size Setup label colors Result label colors EP / SL / TP line colors EP / SL / TP line styles EP / SL / TP line widths This makes the indicator adaptable to different chart themes and personal workflow preferences while keeping the trade map readable. The script also includes a multi-timeframe panel that helps you monitor structure context across additional timeframes. This panel does not generate trades by itself. Its role is to give extra structural context so the BOS retest logic can be read within a broader market picture. Alerts are included for the full workflow: new BOS retest setup retest entry activation Stop Loss hit Take Profit hit forced close at 16:00 NY pending setup cancellation at 16:00 NY This makes the indicator useful both for discretionary chart reading and for alert-assisted monitoring. How to use it: 1. Select the operational hours in New York time. 2. Choose the Stop Loss source: Last Pivot or Maker. 3. Decide whether active trades should be isolated or simultaneous. 4. Wait for a valid BOS inside the session. 5. Monitor the projected EP, SL, and TP lines. 6. Let the retest confirm the setup. 7. Track the outcome visually on the chart. This indicator is especially useful for traders who: work with structure-based execution prefer BOS continuation logic over ChoCh entries want to visualize the complete trade map before activation need a clean chart-based workflow for retest setups value alert support and customizable trade visuals Trend ZigZag Strategy by LANZ is not built as a generic mashup of independent features. Its modules are linked by a single purpose: convert confirmed market structure into a disciplined BOS retest workflow with clear visual risk definition and session-aware trade tracking.
Chỉ báo Pine Script®
của rau_u_lanz
HH Indicator - ASX PropertyASX Property Sector HH Indicator Purpose This indicator identifies when a stock closes above a previous pivot high. It can be used on any time frame. How it calculates levels: 1. Last pivot high: The last "Pivot High" is identified when a candle is higher than (or equal to) the three candles before it and the three candles after it. This filters out non-significant peaks, but can also give false signals for peaks that are in sideways markets. 2. Price level to break: To determine the price that must be broken to make a new HH, the script takes the top of the candle body (i.e. the higher of the Open or Close) and ignores wicks. Reading the Table: A "NEW HH" signal triggers in the indicator if the current candle closes above (or during trade, is above) the previously identified pivot high. Quirks 1. Identifying a new HH for the 2nd time (when it isn't actually a new HH) The indicator gives a "NEW HH" signal for a second time is if the stock closes back below the previous pivot high and then breaks out again on a later candle. In the script, the "memory" isn't stored in a database; it’s just the math comparing Bar A to Bar B. If Bar A is under and Bar B is over, the green box turns on. If both are over, the "cross" didn't happen today, so the box stays gray. 2. Confirmation lag for new pivot highs Because the script is waiting for 3 lower closes to mark a new pivot, there can be a delay in recording new pivot highs
Chỉ báo Pine Script®
của bruzer86
HH Indicator - ASX Info TechASX Info Tech Sector HH Indicator Purpose This indicator identifies when a stock closes above a previous pivot high. It can be used on any time frame. How it calculates levels: 1. Last pivot high: The last "Pivot High" is identified when a candle is higher than (or equal to) the three candles before it and the three candles after it. This filters out non-significant peaks, but can also give false signals for peaks that are in sideways markets. 2. Price level to break: To determine the price that must be broken to make a new HH, the script takes the top of the candle body (i.e. the higher of the Open or Close) and ignores wicks. Reading the Table: A "NEW HH" signal triggers in the indicator if the current candle closes above (or during trade, is above) the previously identified pivot high. Quirks 1. Identifying a new HH for the 2nd time (when it isn't actually a new HH) The indicator gives a "NEW HH" signal for a second time is if the stock closes back below the previous pivot high and then breaks out again on a later candle. In the script, the "memory" isn't stored in a database; it’s just the math comparing Bar A to Bar B. If Bar A is under and Bar B is over, the green box turns on. If both are over, the "cross" didn't happen today, so the box stays gray. 2. Confirmation lag for new pivot highs Because the script is waiting for 3 lower closes to mark a new pivot, there can be a delay in recording new pivot highs
Chỉ báo Pine Script®
của bruzer86