Mulai

Volume

Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price. What this is This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious. Instead of static rectangles that live forever, you get a living liquidity map where: Zones are born from objective criteria: volatility, wick size, and optional volume spikes. Zones “age” using a configurable decay factor and maximum lifetime. Zone color and opacity reflect current relative strength on a unified clear → green → red gradient. Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”. Conceptual idea Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas. Time-Decay Liquidity Zones turns that idea into a rule-based system: Find bars that likely reflect strong aggressive flows into liquidity. Mark a zone around the wick using ATR-based thickness. Assign a strength score of 1.0 at birth. Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long. Color all surviving zones from weak to strong using a single gradient scale and a visual legend. How events are detected Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules. Volatility filter ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline. Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones. Wick filters For each bar, the script splits the candle into body and wicks: Upper wick = High minus the max(Open, Close). Lower wick = min(Open, Close) minus Low. Then it tests: Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR. Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR. Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”. Volume filter Optionally, the script requires a volume spike: Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier. Volume SMA length — period for the volume average. Volume spike multiplier — how many times above the SMA current volume needs to be. This lets you focus only on “heavy” tests of liquidity and ignore quiet bars. Event types Putting it together: Upper event (potential supply / long liquidation, etc.) Occurs when: Upper wick is large in ATR terms. Full bar range is large in ATR terms. Volume is above the spike threshold (if enabled). Lower event (potential demand / short liquidation, etc.) Symmetric conditions using the lower wick. How zones are constructed Zone geometry lives in Zone Geometry . When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness. For upper (supply-type) zones Bottom of the zone = event bar high. Top of the zone = event bar high + Zone thickness in ATRs × ATR. The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active. For lower (demand-type) zones Top of the zone = event bar low. Bottom of the zone = event bar low − Zone thickness in ATRs × ATR. Same extension logic: box starts on the event bar and grows rightward while alive. The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise. Zone lifecycle, decay, and removal All lifecycle logic is controlled by the Decay & Lifetime group. Each zone carries: Score — a floating-point “importance” measure, starting at 1.0 when created. Direction — +1 for upper zones, −1 for lower zones. Birth index — bar index at creation time. Active flag — whether the zone is still considered unbroken and extendable. 1) Active vs broken Each confirmed bar, the script checks: For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone. For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone. When a zone breaks: Its right edge is frozen at the previous bar (no further extension). The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal. This lets you see where a major level was overrun, while naturally fading its influence over time. 2) Time decay At each confirmed bar: Score := Score × Score decay per bar . A decay value close to 1.0 means very slow decay and long-lived zones. Lower values (closer to 0.9) mean faster forgetting and more current-focused zones. You are controlling how quickly the market “forgets” past events. 3) Age and score-based removal Zones are removed when either: Age in bars exceeds Max bars a zone can live . This is a hard lifetime cap. Score falls below Minimum score before removal . This trims zones that have decayed into irrelevance even if their age is still within bounds. When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean. Unified gradient and color logic Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what. Base colors You set: Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient. High strength color (red) — used for the strongest zones. Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent. The script then defines three internal points: Clear end — same as mid color, but with a high alpha (close to transparent). Mid end — mid color at the strongest allowed opacity. High end — high color at the strongest allowed opacity. Strength normalization Within each update: The script finds the maximum score among all existing zones. Each zone’s strength is computed as its score divided by this maximum. Strength is clamped into . This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that. Piecewise gradient Color is assigned in two stages: For strength between 0.0 and 0.5: interpolate from “clear” green to solid green. Weak zones are barely visible, mid-strength zones appear as solid green. For strength between 0.5 and 1.0: interpolate from solid green to solid red. The strongest zones shift toward the red anchor, clearly separating them from everything else. Strength scale legend To make the gradient readable, the indicator draws a vertical legend on the right side of the chart: About 15 cells from top (Strong) to bottom (Weak). Each cell uses the same gradient function as the zones themselves. Top cell is labeled “Strong”; bottom cell is labeled “Weak”. This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank. What it plots At a glance, the indicator produces: Upper liquidity zones above price, built from large upper wick events. Lower liquidity zones below price, built from large lower wick events. All zones colored by relative strength using the same gradient. Zones that freeze when price breaks them, then fade out via decay and removal. A strength scale legend on the right to interpret the gradient. There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength. How to read the zones Bright red / bright green zones These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them. Faded zones Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise. Broken but still visible zones Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts. Absence of zones A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced. Use cases 1) Intraday liquidity hunting Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay. Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas. Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone. 2) Swing trading context Increase ATR length and range/wick multipliers to focus only on major spikes. Set slower decay and higher max lifetime so zones persist across multiple sessions. Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts. 3) Stop placement and invalidation For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise. For shorts, place invalidation beyond strong upper zones. If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong. 4) Identifying trapped flows Upper zones formed after violent spikes up that quickly fail can mark trapped longs. Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts. Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed. Settings overview Event Detection Use volume filter — enable or disable the volume spike requirement. Volume SMA length — rolling window for average volume. Volume spike multiplier — how aggressive the volume spike filter is. ATR length — period for ATR, used in all size comparisons. Min wick size in ATRs — minimum wick size threshold. Min range in ATRs — minimum bar range threshold. Zone Geometry Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR. Decay & Lifetime Score decay per bar — multiplicative decay factor for each zone score per bar. Max bars a zone can live — hard cap on lifetime. Minimum score before removal — score cut-off at which zones are deleted. Gradient & Color Mid strength color (green) — base color for mid-level zones and the lower half of the gradient. High strength color (red) — target color for the strongest zones. Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible). Tuning guidance Fast, session-only liquidity Shorter ATR length (e.g., 20–50). Higher wick and range multipliers to focus only on extreme events. Decay per bar closer to 0.95–0.98 and moderate max lifetime. Volume filter enabled with a decent multiplier (e.g., 1.5–2.0). Slow, structural zones Longer ATR length (e.g., 100+). Moderate wick and range thresholds. Decay per bar very close to 1.0 for slow fading. Higher max lifetime and slightly higher min score threshold so only very weak zones disappear. Noisy, high-volatility instruments Increase wick and range ATR multipliers to avoid over-triggering. Consider enabling the volume filter with stronger settings. Keep decay moderate to avoid the chart getting overloaded with old zones. Notes This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to: Highlight where liquidity has recently been tested hard. Rank these areas by decaying strength. Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context. Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
Indikator Pine Script®
oleh BackQuant
Advanced Triple Strategy ScalperHere are the three scalping strategies presented in the video "3 Scalping Strategies That Work Every Day (Backtested & Proven)" by Asia Forex Mentor – Ezekiel Chew: ### Scalper’s Trend Filter (Triple EMA) This strategy uses three EMAs (25, 50, 100) on the 5-minute chart to filter high-probability trades aligned with momentum . - Only trade when all three EMAs are angled in the same direction and clearly separated (no crossing or tangling) . - Enter when price pulls back toward the 25 or 50 EMA and then bounces back toward the 25 EMA, but do not enter if price closes below the 100 EMA . - Set stop-loss just below the 50 EMA or swing low and aim for a risk-to-reward ratio of 1:1.5 . ### Flip Zone Trap (Reversal Catching) This method identifies precise reversal moments where market structure shifts from weakness to strength . - Use the 15-min chart to locate key support or resistance zones where price previously reacted . - Wait for price to stop making lower lows and begin making higher highs (or vice versa for shorts); confirm with a trendline break AND follow-through (higher lows & highs within 5-7 candles) . - Use confirmation candles (bullish engulfing, pin bar rejection) at the zone before entry . ### Liquidity Shift Trigger (Smart Money Trap) This system leverages institutional stop hunts and liquidity sweeps at key zones for sniper entries . - Start with a 15-min chart to identify structure breaks and points of interest (order blocks, flip zones, demand zones) . - Drop to 1-min chart and wait for price to enter the refined zone and sweep liquidity (sharp wick/spike below/above key level) . - Once liquidity is swept, wait for a clean structure shift (break of most recent internal high or low) within 5–6 candles—if confirmed, refine entry to the candle that caused the break and enter when price returns to that candle with a strong reaction . *** ### Practical Application - These strategies are systematic, rule-based, and designed to cut out fake moves, avoid early stop-outs, and align entries with momentum and institutional activity . - Perfect for short timeframes and volatile pairs like XAUUSD, especially if paired with additional confirmation from other technical analysis tools . All three strategies emphasize filtering noise, waiting for momentum/trend confirmation, and avoiding impulsive entries—key principles for consistent scalping success
Indikator Pine Script®
oleh asifhkin
Institution Radar Institution Radar Institution Radar compares Price RSI with Volume-Delta RSI to show when price moves are real (backed by volume) or fake (moving without volume). This helps reveal two powerful concepts: Absorption (Bullish or Bearish) Absorption happens when a large limit order is sitting in the order book. Market orders hit it over and over, but the level doesn't break. This usually means: Strong players are absorbing the aggressive orders Price is likely to move in the opposite direction The next candle often reacts immediately Can lead to a full reversal or just a short 1–2 candle move Exhaustion (Bullish or Bearish) Exhaustion happens when institutions pull their limit orders away. There is no real volume behind the move, so price drifts up or down easily. This usually means: The current move is weak A slowdown, pullback, or reversal is likely Often shows up right before a flip in direction 📌 What the Signals Mean Green signal → next candles often push upward Red signal → next candles often push downward These can mark trend reversals or temporary 1–2 candle reactions 🎚️ Sensitivity Setting You can adjust how strict the signals are: Lower sensitivity = more signals, more noise Higher sensitivity = fewer signals, but more accurate and stronger A higher sensitivity is recommended if you only want the cleanest institutional moments.
Indikator Pine Script®
oleh ebecihalil
Trend ProTrend Pro is a volatility-adaptive trend and momentum system designed for scalping, day trading, and short-term swing trading. It uses an ATR-based dynamic trend line (Alpha-Trend style) to identify momentum shifts and confirm directional strength. Unlike traditional moving averages, Trend Pro adapts to volatility and reacts faster during expansions while filtering noise during chop. 🔍 How Trend Pro Works Trend Pro builds a dynamic volatility channel using ATR and tracks whether price stays above or below this adaptive line. When price crosses and closes on the opposite side, it suggests a shift in market control. When price closes above the line → the trend turns BULLISH (green) When price closes below the line → the trend turns BEARISH (red) This gives a clear, visual trend state without repainting. Tips for Best Performance: ✔ Avoid signals directly inside major ranges or sideways chop ✔ Strongest entries come after small pullbacks into the line ✔ Combine signals with: Market structure Key swing highs/lows Liquidity sweeps Session timing (NYSE open, power hour) ✔ Trend Pro works best when used with the trend, not counter-trend Enjoy!
Indikator Pine Script®
oleh JimwatAnalytics
5
Cumulative Volume Delta (HA Option)# **📘 Ultimate Guide to Trading With CVD Heikin Ashi (CVD+)** ## **🔍 What This Indicator Shows** This tool plots **Cumulative Volume Delta (CVD)** as candlesticks—optionally transformed into **Heikin Ashi CVD candles**. Instead of price, each candle represents the *battle between buyers and sellers* within your chosen timeframe. **Volume Delta = Buying Volume – Selling Volume** CVD takes all deltas and stacks them cumulatively, showing who is controlling the auction *over time*. With Heikin Ashi smoothing layered on top, trend detection becomes cleaner, letting you see the “true pressure” behind price moves. --- # **💡 Why CVD Is a Game Changer** Most traders only see price. Serious traders watch **pressure**. CVD exposes what price hides: * Absorption * Hidden accumulation * Seller exhaustion * Fake breakouts * True reversals * Momentum strength / weakness * Smart money footprint When combined with Heikin-Ashi smoothing, you get delta trends with way less noise and fewer fake flips. --- # **📈 How to Actually Use It (The Edge)** ## **1. Spot True Trend vs. Fake Trend** If **price goes up** but **CVD goes down**, that’s: * Passive sellers absorbing * A weak rally * High probability of reversal If **price pulls back** but **CVD keeps rising**, that’s: * Secret accumulation * A continuation setup * Great dip-buy opportunity **Rule of thumb:** 🔹 *Follow the CVD trend, not the price noise.* --- ## **2. Catch Reversals Early** Watch for: ### **🔻 Bearish Reversal Signals** * CVD makes a **lower high** * Heikin Ashi CVD prints **red bodies with rising upper shadows** * Price makes one final push up on low delta This is classic distribution → the drop usually follows fast. ### **🔹 Bullish Reversal Signals** * CVD forms a **higher low** * HA CVD flips from red to green with full bodies * Price still looks weak = bottom forming This is exactly how pros catch bottoms early. --- ## **3. Identify Absorption Levels** If price hits a level multiple times but CVD keeps climbing (or falling), that level is being defended. Example: * Price stalls at support * CVD keeps rising = **Buyers absorbing sells → high-probability bounce** Opposite works for resistance. --- ## **4. Validate Breakouts** A breakout with *weak or negative CVD* is usually a trap. A breakout with **strong, rising HA CVD** is real. If CVD diverges from the breakout direction → fade it. If CVD confirms → ride it. --- ## **5. Use Heikin Ashi to Stay in Trends** HA smoothing removes the nasty chop of raw delta data. Look for: * Consecutive **full-body teal candles = strong buying wave** * Consecutive **full-body red candles = strong selling wave** * Small-bodied candles after a trend = momentum dying This keeps you in winners longer and cuts losers faster. --- # **🎯 Practical Trading Playbook** ### **A) Long Setup** 1. Price pullback into support 2. CVD stays bullish or makes a higher low 3. HA CVD flips green or prints a strong body 4. Enter long 5. Stop under CVD structural low ### **B) Short Setup** 1. Price pushes into resistance 2. CVD forms bearish divergence 3. HA CVD prints red bodies 4. Enter short 5. Stop above CVD swing high ### **C) Chop Filter** No clear HA CVD trend = avoid trading → stop donating money to the market. --- # **🧠 Tips for Mastery** * Use lower timeframe delta (1m–5m) for scalping entries * Use a higher anchor timeframe (1D) to define direction * When price trends but CVD is flat → expect a fakeout * When CVD trends but price is flat → expect a breakout * Trade WITH delta, fade AGAINST delta --- # **⚠️ Important Notes** * Crypto = full tick-by-tick volume → CVD is extremely accurate * Stocks = depends on your broker/data vendor * Futures = best signal-to-noise ratio * If your symbol has no volume → indicator will warn you --- # **📥 Recommended Settings** * **Anchor timeframe**: 1D or 4H * **Lower timeframe**: 1m, 3m, or 5m * **Heikin Ashi**: ON for trend filtering, OFF for raw delta --- # **🔥 Final Word** Price can lie. Delta usually doesn’t. CVD + Heikin Ashi gives you the closest thing to reading the market’s heartbeat in real time. Use it to confirm breakouts, detect reversals early, identify real trend strength, and avoid getting caught in manipulation. If you learn to read CVD well… you stop trading price, and start trading the **intent** behind the price.
Indikator Pine Script®
oleh Manifesting_Gains
5
Hidden Zone Detector AI - Crypto/Forex/StockHidden Zone Detector AI - Crypto Forex Stock Hidden Zone Detector AI is a professional TradingView indicator designed to find hidden supply and demand zones across markets — crypto, forex and stocks — and surface high-probability areas earlier than classical pivot-only methods. It combines price structure analysis, volatility/ATR sizing, volume profiling and multi-mode AI heuristics (Fast / Balanced / Accurate) to generate prediction zones, highlight tested areas, and visually mark zone breakouts. Built with practical trader workflow in mind: configurable anti-repaint options, adaptable Light/Dark UI, clear labels, and candle-coloring for immediate visual context. How it works • Detects hidden zones by scanning pivot formations and finding internal “hidden” bars that represent real institutional activity (not just visible swing points). • Scores zones by size (ATR-relative), volume, and touch characteristics to produce a strength percentage (Weak/Medium/Strong). • AI heuristics aggregate price, momentum, moving averages, RSI/MACD signals and volume patterns to propose prediction zones — adjustable for speed vs. accuracy. • Zones are drawn as persistent boxes with optional midlines, labels, and tailored styling when broken or tested. Main advantages • Early edge: finds hidden zones that often act before obvious pivots. • Actionable visuals: labeled zones, color-coded candles, and breakout styling speed decision-making. • Flexible AI modes: choose Fast for responsiveness, Balanced for day-to-day use, or Accurate for stricter signals. • Anti-repaint controls: require confirmed bars for predictions to improve signal reliability. • Multi-market ready: tuned for crypto, forex and stock chart behavior. • Light/Dark friendly: UI color handling ensures labels remain readable on any chart background. • Open & reusable: released under Mozilla Public License 2.0 (MPL-2.0) — use and adapt freely with attribution. Best practices & tips • Start with Balanced mode and sensitivity ~5; increase sensitivity for earlier but noisier predictions. • Use prediction confirmation (Require AI Prediction Confirmation) for lower repaint risk. • Combine zone reads with higher-timeframe context and orderflow/volume tools for stronger entries. • Adjust max active zones and opacity to keep charts clean on lower timeframes. License & author Mozilla Public License 2.0 (MPL-2.0). Author: a_jabbaroff — created with care for the TradingView community and fellow traders.
Indikator Pine Script®
oleh a_jabbaroff
2
Smart Money Volume Matrix [Ata]Smart Money Volume Matrix The Smart Money Volume Matrix (SMV Matrix) is an advanced volume-spread analysis (VSA) dashboard and charting tool designed to identify significant market anomalies by analyzing the relationship between price extremes and volume flow. Unlike traditional indicators that rely solely on moving averages or oscillators, this tool performs a "Snapshot Analysis" of a defined lookback period (default: 100 bars) to rank price action based on Order Flow Dominance. It isolates the Top 10 Highest and Lowest Close prices and scrutinizes the volume behind them to categorize market sentiment into four distinct phases: Distribution, No Demand, Absorption, and Exhaustion. Core Logic & Methodology The script operates on a Zero-Lag Snapshot Engine. It does not print historical signals bar-by-bar; instead, it evaluates the current market structure relative to the recent history (Lookback Period). 1. Ranking Engine: The script scans the lookback period to find the Top 10 Highest Closes and Top 10 Lowest Closes. 2. Volume Classification: For each ranked bar, it calculates the "Intrabar Buy/Sell Volume" (or approximates it using candle geometry if Intrabar data is unavailable). 3. Dominance Detection: It compares Buying Volume vs. Selling Volume to determine who is in control at critical price levels. Signal Classifications (VSA Logic) The indicator generates labels on the chart and updates the dashboard table based on the following logic: 1. At Price Tops (Resistance Areas): - Distribution (Supply): High Price + High Total Volume + Sellers Dominant. Interpretation: Indicates heavy institutional selling into rising prices. Often precedes a reversal. - Buy Climax: High Price + High Total Volume + Buyers Dominant. Interpretation: Extreme buying frenzy. While bullish, it often marks a "trap" or temporary top due to exhaustion. - No Demand: High Price + Low Volume. Interpretation: Prices drifted higher but lack institutional participation. A sign of weakness. 2. At Price Bottoms (Support Areas): - Absorption: Low Price + High Total Volume + Buyers Dominant. Interpretation: Institutional money is absorbing selling pressure (passive buying). A strong sign of accumulation. - Panic Sell: Low Price + High Total Volume + Sellers Dominant. Interpretation: Extreme fear. High volume at lows typically indicates capitulation and potential hands-changing. - Exhaustion: Low Price + Low Volume. Interpretation: Selling pressure has dried up. The market may float upward due to lack of sellers. Key Features - Dashboard Matrix Table: Displays the exact Close Price, Buy/Sell Volume, and Market State (Group) for the Top 10 ranking bars. Smart Footer: Automatically detects the active "Resistance Zone" (derived from G1 Distribution levels) and "Support Zone" (derived from G3 Absorption levels) and reports the current price status relative to these zones (e.g., "Testing Resistance", "Breakout", "At Support"). - Smart Zones (Auto S/R): Automatically draws Support and Resistance boxes extending into the future based on the most significant volume clusters found in the rankings. Includes logic to detect "Flips" (e.g., when Support breaks, it is labeled as a flip to Resistance). - Average Trend Channels: Calculates a Linear Regression trend line based specifically on the coordinates of the Top 10 Highs and Top 10 Lows, providing a "Best Fit" channel for the current market structure. - Visual Clarity: Labels utilize a "Smart Stacking" algorithm to prevent overlap on the chart. Guide lines connect labels to their respective candles for precise identification. Settings & Configuration - Matrix Settings: Lookback Period (default 100 bars) and Top Rank Count. - Volume Engine: Choose between "Intrabar (Precise)" for accurate order flow or "Geometry (Approx)" for standard volume estimation. - Visuals: Toggle Table, Labels, Lines, Zones, and Trend Lines. Adjust transparency and font sizes. IMPORTANT NOTE ON SNAPSHOT LOGIC This indicator is designed as a Real-Time Dashboard. It continuously updates the "Top 10" list as new candles form. Therefore, a label that appears on a candle may disappear if that candle falls out of the Top 10 ranking or leaves the lookback window. This is intended behavior to ensure the chart always reflects the current most critical levels, rather than a historical record of past signals. It is best used for live market analysis rather than historical back testing. Disclaimer: This tool is for educational and analytical purposes only. Volume analysis is subjective and should be used in conjunction with other methods of technical analysis.
Indikator Pine Script®
oleh ata_sabanci
8
Weighted RSI DivergenceWeighted RSI Divergence A powerful divergence engine that grades every RSI divergence by strength, context, and confluence — helping you filter noise and focus only on the highest-probability reversal setups. This script combines RSI divergences with five confirmation layers to produce confidence-weighted signals, clearer trade decisions, and alert-ready setups for both bullish and bearish reversals. What This Indicator Detects Bullish Divergence → Price makes a lower low while RSI makes a higher low Bearish Divergence → Price makes a higher high while RSI makes a lower high Confirmation Factors (Each Adds +1 to the Score) Volume Spike: Above-average volume on the divergence bar Trend Alignment: Divergence occurs in harmony with higher-timeframe trend dynamics Key Level Proximity: Price tests significant support or resistance Momentum Extremes: RSI reaches oversold/overbought thresholds Candle Reversal Pattern: Engulfing, pin bar, or similar reversal structure Confidence Scoring 1–2 → Low Confidence (gray) 3 → Medium Confidence (yellow) 4–5 → High Confidence (green/red) Higher scores = higher-probability setups. Visual Components RSI plot with dynamic gradient coloring Divergence lines mapped to RSI pivots Signal labels showing confidence + factors Background highlighting for high-confidence events Real-time confidence meter for active bar conditions Optional data table for factor-by-factor breakdown Alerts Included High-confidence bullish & bearish divergences Medium-confidence signals Any divergence meeting your minimum threshold Best Practices Prioritize setups with 4 or 5 confirmations Use higher timeframes (4H, 1D, 1W) for more reliable signals Combine with market structure and price action (S/R, HTF trend, liquidity zones) Counter-trend divergences require stronger scores to validate Final Notes This script focuses on clarity, risk reduction, and selective trade timing. The confidence system helps distinguish weak divergences from high-probability reversal conditions — giving traders a structured, repeatable edge.
Indikator Pine Script®
oleh kingthies
Weekday Close vs Open — Last N (per weekday)# Weekday Close vs Open - Last N Occurrences This indicator distills every weekday's historical open-to-close behavior into a compact table so you can see how "typical" the current session is before the day even closes. It runs independently of your chart timeframe by pulling daily OHLCV data under the hood, tracking the last **N** completed occurrences for each weekday, and refreshing only when a daily bar closes. On daily charts you can also shade every past bar that matches today's weekday (excluding the in-progress session) to reinforce the pattern visually while the table remains non-repainting. ## What It Shows - **Win/Loss/Tie counts** - how many of the last `N` occurrences closed above the open (wins), below (losses), or inside the tie threshold you define as "flat". - **Win % heatmap** - the win column is color-coded (deep green > deep red) so you immediately recognize strong or weak weekdays. - **Advanced metrics (optional)** - average daily volume plus the average percentage excursion above/below the open (`AvgUp%`, `AvgDn%`) for that weekday. - **Totals row** - aggregates every weekday into one row to estimate overall hit rate and average stats across the entire data set. - **Weekday shading (optional)** - on daily charts you can tint every bar that matches today's weekday (all Mondays, all Fridays, etc.) for instant pattern recognition. ## How It Works 1. The script requests daily OHLCV data (non-repainting) regardless of the chart timeframe. 2. When a new daily bar confirms, it packs that day's data into one of seven arrays (one per weekday). Each day contributes five floats (O/H/L/C/V) so trimming and statistics stay in lockstep. 3. A helper function (`f_dayMetrics`) scans daily history to compute average volume, average excursion above/below the open, and win/loss/tie counts for the requested weekday. 4. The table populates on the last bar of the chart session, respecting your advanced/totals toggles and keeping text at `size.normal`. ## Reading the Table - **Win/Loss/Tie columns**: raw counts taken from your chosen `N`. - **Win %***: excludes ties from the denominator so it reflects only decisive closes. - **AvgUp% / AvgDn%**: typical intraday extension (high vs open, open vs low) in percent. - **Avg Vol**: arithmetic mean of daily volume for that weekday. - **TOTAL row**: provides a global win rate plus volume/up/down averages weighted by how many samples each weekday contributed. ## Practical Uses - Spot weekdays that historically trend higher or lower before entering a trade. - Compare current price action against the typical intraday range (`AvgUp%` vs today's move). - Filter mean-reversion vs breakout setups based on the most reliable weekday patterns. - Quickly gauge whether today is behaving "in character" by referencing the highlighted row or the optional whole-chart weekday shading. > **Tip:** Use smaller `N` values (e.g., 10-20) for adaptive, recent behavior and larger values (50+) to capture longer-term seasonality. Tighten the tie threshold if you want almost every candle to register as win/loss, or widen it to focus only on meaningful moves.
Indikator Pine Script®
oleh Zippy111
Whale Activity Detector (V20 - Candle-Relative Diamonds)This indicator is to visualize the "footprints" of large institutional traders, often referred to as "whales." By monitoring spikes in trading volume relative to a long-term average, the indicator flags moments when significant capital is entering or exiting the market. How the Indicator Works (The Logic) Volume Threshold : It calculates a Moving Average (MA) of the recent volume (default 20 bars). This average is then multiplied by a Spike Multiplier (default 3.0x) to create a dynamic threshold. Spike Detection : Any price bar whose total volume exceeds this threshold is flagged as a potential "Whale Activity" bar. Direction Confirmation : The color of the signal is determined by the price action of that bar (close > open for buying/accumulation, or close < open for selling/distribution).
Indikator Pine Script®
oleh bryanleow88
SWUltimate Sniper: SMT + AO + Money Flow Overview This indicator is a comprehensive trading system designed to identify high-probability reversal points by combining three powerful concepts: Smart Money Techniques (SMT), Awesome Oscillator (AO) Momentum Divergences, and Macro Money Flow Analysis. It aims to filter out false signals by requiring confirmation from multiple technical factors before generating a signal. Key Features & Logic 1. SMT Divergence (Smart Money Tool) The core of this indicator compares the current asset's price structure (Highs and Lows) against a benchmark symbol (Default: BTCUSDT). Bullish SMT: When Bitcoin makes a Lower Low (LL), but the Altcoin makes a Higher Low (HL). This suggests underlying strength and accumulation in the Altcoin despite BTC's weakness. Bearish SMT: When Bitcoin makes a Higher High (HH), but the Altcoin makes a Lower High (LH). This suggests weakness and distribution in the Altcoin despite BTC's strength. 2. Awesome Oscillator (AO) Confirmation To prevent premature entries based solely on price action, the indicator checks for momentum divergence on the Awesome Oscillator. If the "AO Filter" option is enabled in settings, a signal (triangle) will only appear if both SMT Divergence and AO Divergence occur simultaneously (or within the same pivot window). This significantly increases the reliability of the setup. 3. Money Flow Dashboard A dashboard in the top-right corner provides real-time macro context to ensure you are trading with the trend. USDT.D (Tether Dominance): Monitors whether capital is entering (Bullish) or leaving (Bearish) the crypto market. BTC.D (Bitcoin Dominance): Monitors whether capital is flowing into Bitcoin or rotating into Altcoins (Altcoin Season). How to Use Buy Signal (Green Triangle): Look for a Green Triangle below the bar. Ideally, confirm this with the Dashboard showing "Money Flow: Entering" (Green) and "Trend: Flowing to Alts" (Green). Sell Signal (Red Triangle): Look for a Red Triangle above the bar. Dashboard: Use the dashboard as a trend filter. Do not long an Altcoin if USDT.D is spiking (Market Bearish). Settings Comparison Symbol: Select the benchmark asset (Default: BTCUSDT). Pivot Period: Adjust the sensitivity of the divergence detection. Use AO Filter: Toggle ON/OFF to require Awesome Oscillator confirmation for signals. Dashboard: Toggle the visibility of the Money Flow panel.
Indikator Pine Script®
oleh SwSpace
Dobrusky Pressure CoreWhat it does & who it’s for Dobrusky Pressure Core is a volume by time replacement for traders who care about which side actually controls each bar. Instead of just plotting total volume, it splits each bar into estimated buy vs sell pressure and overlays a custom, session-aware volume baseline. It’s built for discretionary traders who want more nuanced volume context for entries, breakouts, and pullbacks. Core ideas Buy/sell pressure split: Each bar’s volume is broken into estimated buying and selling pressure. Dominant side highlighting: The dominant side (buy or sell) is always displayed starting from the bottom of the bar, so you can quickly see who “owned” that bar. Median-based baseline: Uses the median of the last N bars (50 by default) to build a robust volume baseline that’s less sensitive to one-off spikes. Session-aware behavior: Baseline is calculated from Regular Trading Hours (RTH) by default, with an option to include Extended Hours (ETH) and a control to force Regular data on higher timeframes. Volume regimes: Three multipliers (1x, 1.5x, 2x by default) show normal, high, and extreme volume regions. Flexible display: Baseline can be shown as lines or as columns behind the volume, with full color customization. How the pressure logic works For each bar, the script: Adjusts the range for gaps relative to the prior close so the “true” traded range is more consistent. Computes buy pressure as a proportion of the adjusted range from low to close. Defines sell pressure as: total volume minus buy pressure. Marks the bar as buy-dominant if buy pressure ≥ sell pressure, otherwise sell-dominant, and colors the dominant side from the bottom to at least the midpoint using the selected buy/sell colors. In practice, this turns basic volume columns into bars where the internal split and dominant side are clearly visible, helping you judge whether aggressive buyers or sellers truly controlled the bar instead of just looking at the price action. Volume baseline & session logic The script builds a session-aware baseline from recent volume: Baseline length: A rolling window (default 50 bars) is used to compute a median volume value instead of a simple moving average. RTH-only by default: By default, the baseline is built from Regular Trading Hours bars only. During extended hours, the baseline effectively “freezes” at the last RTH-derived value unless you choose to include extended session data. Extended mode: If you select Extended mode, the script builds separate rolling baselines for RTH and ETH trading, using the appropriate one depending on the current session. Force Regular Above Timeframe: On timeframes equal to or higher than your chosen threshold, the baseline automatically uses Regular session data, even if Extended is selected. Multipliers: Three adjustable multipliers (1x, 1.5x, 2x by default) create normal, high, and extreme volume bands for quick identification. This lets you choose whether you want a pure RTH reference or a baseline that adapts to extended-session activity. Example ways to use it 1. Replace standard volume bars Add Dobrusky Pressure Core to your volume pane and hide the default volume if you prefer a clean look. Use the colors and split to see at a glance whether buyers or sellers were dominant on each bar. 2. Pressure confirmation for entries For longs (example concept; adapt to your own rules): Require that the entry bar’s buy pressure is greater than the previous bar’s sell pressure , or If the entry and prior bar are both buy-dominant, require that the entry bar has more buy pressure than the prior bar. This helps avoid taking a long when buying pressure is clearly fading relative to what sellers recently showed. A mirrored idea can be used for short setups with sell pressure. 3. Context from baseline multipliers Use ~1x baseline as “normal” volume. Watch for bars at or above 1.5x baseline when you want to see increased participation. Treat 2x baseline and above as “extreme” volume zones that may mark climactic or especially important bars. In practice, the baseline and multipliers are best used as context and filters, not as rigid rules. Settings overview Display - Show Volume Baseline: toggle the baseline and its levels on or off. - Baseline Display: choose between Line or Bars for the baseline visualization. Baseline Calculation - Length: lookback for the median baseline (default 50, configurable). - Baseline Session Data: choose Regular or Extended to control which session data feeds the baseline. Session Controls - Regular Session (Local to TZ): define your RTH window (e.g., 0930-1600). - Session Time Zone: choose the time zone used for that window. - Force Regular Above Timeframe: on higher timeframes, force the baseline to use Regular session data only. Baseline Levels - Show Level x Multiplier 1/2/3: toggle each volume regime level. - Multiplier 1/2/3: define what you consider normal, high, and extreme volume (defaults: 1.0, 1.5, 2.0). Colors - Buy Volume / Sell Volume: choose colors for buy and sell pressure. - Baseline Bars (Base / x2 / x3): colors when the baseline is drawn as columns. - Baseline Line (Base / x2 / x3): colors when the baseline is drawn as lines. Limitations & best practices This is a decision-support and visualization tool, not a buy/sell signal generator. Best suited to markets where volume data is meaningful (e.g., index futures, liquid equities, liquid crypto). The usefulness of any volume-based metric depends on the underlying data feed and instrument structure. Always combine pressure and baseline context with your own strategy, risk management, and testing. Originality Most volume tools either show total volume only or compare it to a simple moving average. Dobrusky Pressure Core combines: An intrabar buy/sell pressure split based on a gap-adjusted price range. A median-based, configurable baseline built from session-specific data. Session-aware behavior that keeps the baseline focused on Regular hours by default, with the option to incorporate Extended hours and force Regular data on higher timeframes. The goal is to give traders a richer, session-aware view of participation and pressure that standard volume bars and simple SMA overlays don’t provide, while keeping everything transparent and open-source so users can review and adapt the logic.
Indikator Pine Script®
oleh adobtrades
Volume Surge AlertVolume is often the fuel behind meaningful price moves. The Volume Surge Alert indicator highlights bars where volume explodes above its recent average, helping you spot accumulation, distribution, and breakout attempts before the price fully reacts. Calculates a configurable simple moving average of volume to establish “normal” activity. Flags bars where the current volume exceeds the SMA by a user-defined multiple (default 2×). Colors the column and background on surge bars for quick visual confirmation. Provides an alert condition so you can receive notifications the moment activity spikes. Use it on any timeframe or market to monitor for unusual participation, confirm breakouts, or filter entries. Adjust the SMA length and surge multiple to match your market’s typical liquidity profile.
Indikator Pine Script®
oleh marktan93
Liquidity Sweep & Reversal MapLiquidity Sweep & Reversal Map (LSRM) is a visual tool designed to help traders study how price interacts with key liquidity areas such as daily highs, daily lows, previous-day levels, and potential sweep zones. Its purpose is to map structure, highlight volatility around major reference points, and visualize how price behaves after taking liquidity. This indicator does not attempt to predict market direction. It simply identifies conditions where price has interacted with a known reference level and marks that interaction for user analysis. 🔍 What This Indicator Shows 1. Key Liquidity Reference Levels The script automatically draws and updates the following levels: TH — Today’s High TL — Today’s Low PDH — Previous Day High PDL — Previous Day Low These levels are widely monitored by many traders and can be helpful when studying liquidity behavior and intraday volatility. 2. Liquidity Sweeps A liquidity sweep occurs when: Price briefly moves beyond a major high or low And then closes back within the prior range The indicator marks detected sweep interactions with: BS (Bullish Sweep) when liquidity is taken below a low SS (Bearish Sweep) when liquidity is taken above a high A sweep only appears after the bar has closed, helping users analyze completed price structure. 3. Optional Sweep Zones When enabled, the tool draws a shaded zone between: The swept wick The reference level This can help highlight areas where liquidity was taken. 4. Volume & Candle Filters The indicator includes optional filters such as: Relative volume spikes Strong candle body requirement These filters are provided only to refine the visual highlight of sweeps; they do not constitute trading signals. 🎛 Customization Users can configure: Instrument presets Sweep buffers Volume sensitivity Line visibility and thickness Label display Zone visibility All settings are optional and intended for chart annotation only. ⚠️ Important Notes This tool is not a trading system, signal generator, or strategy. It does not provide buy/sell advice or predict future price movement. All markings are visual aids for chart study and structural analysis only. Users should rely on their own judgment and independent analysis when making trading decisions.
Indikator Pine Script®
oleh darshakssc
High Volume Bars (Advanced)High Volume Bars (Advanced) High Volume Bars (Advanced) is a Pine Script v6 indicator for TradingView that highlights bars with unusually high volume, with several ways to define “unusual”: Classic: volume > moving average + N × standard deviation Change-based: large change in volume vs previous bar Z-score: statistically extreme volume values Robust mode (optional): median + MAD, less sensitive to outliers It can: Recolor candles when volume is high Optionally highlight the background Optionally plot volume bands (center ± spread × multiplier) ⸻ 1. How it works At each bar the script: Picks the volume source: If Use Volume Change vs Previous Bar? is off → uses raw volume If on → uses abs(volume - volume ) Computes baseline statistics over the chosen source: Lookback bars Moving average (SMA or EMA) Standard deviation Optionally replaces mean/std with robust stats: Center = median (50th percentile) Spread = MAD (median absolute deviation, scaled to approx σ) Builds bands: upper = center + spread * multiplier lower = max(center - spread * multiplier, 0) Flags a bar as “high volume” if: It passes the mode logic: Classic abs: volume > upper Change mode: abs(volume - volume ) > upper Z-score mode: z-score ≥ multiplier AND the relative filter (optional): volume > average_volume * Min Volume vs Avg AND it is past the first Skip First N Bars from the start of the chart Colors the bar and (optionally) the background accordingly. ⸻ 2. Inputs 2.1. Statistics Lookback (len) Number of bars used to compute the baseline stats (mean / median, std / MAD). Typical values: 50–200. StdDev / Z-Score Multiplier (mult) How far from the baseline a bar must be to count as “high volume”. In classic mode: volume > mean + mult × std In z-score mode: z ≥ mult Typical values: 1.0–2.5. Use EMA Instead of SMA? (smooth_with_ema) Off → uses SMA (slower but smoother). On → uses EMA (reacts faster to recent changes). Use Robust Stats (Median & MAD)? (use_robust) Off → mean + standard deviation On → median + MAD (less sensitive to a few insane spikes) Useful for assets with occasional volume blow-ups. ⸻ 2.2. Detection Mode These inputs control how “unusual” is defined. • Use Volume Change vs Previous Bar? (mode_change) • Off (default) → uses absolute volume. • On → uses abs(volume - volume ). You then detect jumps in volume rather than absolute size. Note: This is ignored if Z-Score mode is switched on (see below). • Use Z-Score on Volume? (Overrides change) (mode_zscore) • Off → high volume when raw value exceeds the upper band. • On → computes z-score = (value − center) / spread and flags a bar as high when z ≥ multiplier. Z-score mode can be combined with robust stats for more stable thresholds. • Min Volume vs Avg (Filter) (min_rel_mult) An extra filter to ignore tiny-volume bars that are statistically “weird” but not meaningful. • 0.0 → no filter (all stats-based candidates allowed). • 1.0 → high-volume bar must also be at least equal to average volume. • 1.5 → bar must be ≥ 1.5 × average volume. • Skip First N Bars (from start of chart) (skip_open_bars) Skips the first N bars of the chart when evaluating high-volume conditions. This is mostly a safety / cosmetic option to avoid weird behavior on very early bars or backfill. ⸻ 2.3. Visuals • Show Volume Bands? (show_bands) • If on, plots: • Upper band (upper) • Lower band (lower) • Center line (vol_center) These are plotted on the same pane as the script (usually the price chart). • Also Highlight Background? (use_bg) • If on, fills the background on high-volume bars with High-Vol Background. • High-Vol Bar Transparency (0–100) (bar_transp) Controls the opacity of the high-volume bar colors (up / down). • 0 → fully opaque • 100 → fully transparent (no visible effect) • Up Color (upColor) / Down Color (dnColor) • Regular bar colors (non high-volume) for up and down bars. • Up High-Vol Base Color (upHighVolBase) / Down High-Vol Base Color (dnHighVolBase) Base colors used for high-volume up/down bars. Transparency is applied on top of these via bar_transp. • High-Vol Background (bgHighVolColor) Background color used when Also Highlight Background? is enabled. ⸻ 3. What gets colored and how • Bar color (barcolor) • Up bar: • High volume → Up High-Vol Color • Normal volume → Up Color • Down bar: • High volume → Down High-Vol Color • Normal volume → Down Color • Flat bar → neutral gray • Background color (bgcolor) • If Also Highlight Background? is on, high-volume bars get High-Vol Background. • Otherwise, background is unchanged. ⸻ 4. Alerts The indicator exposes three alert conditions: • High Volume Bar Triggers whenever is_high is true (up or down). • High Volume Up Bar Triggers only when is_high is true and the bar closed up (close > open). • High Volume Down Bar Triggers only when is_high is true and the bar closed down (close < open). You can use these in TradingView’s “Create Alert” dialog to: • Get notified of potential breakout / exhaustion bars. • Trigger webhook events for bots / custom infra. ⸻ 5. Recommended presets 5.1. “Classic” high-volume detector (closest to original) • Lookback: 150–200 • StdDev / Z-Score Multiplier: 1.0–1.5 • Use EMA Instead of SMA?: off • Use Robust Stats?: off • Use Volume Change vs Previous Bar?: off • Use Z-Score on Volume?: off • Min Volume vs Avg (Filter): 0.0–1.0 Behavior: Flags bars whose volume is notably above the recent average (plus a bit of noise filtering), same spirit as your initial implementation. ⸻ 5.2. Volatility-aware (Z-score) mode • Lookback: 100–200 • StdDev / Z-Score Multiplier: 1.5–2.0 • Use EMA Instead of SMA?: on • Use Robust Stats?: on (if asset has huge spikes) • Use Volume Change vs Previous Bar?: off (ignored anyway in z-score mode) • Use Z-Score on Volume?: on • Min Volume vs Avg (Filter): 0.5–1.0 Behavior: Flags bars that are “statistically extreme” relative to recent volume behavior, not just absolutely large. Good for assets where baseline volume drifts over time. ⸻ 5.3. “Wake-up bar” (volume acceleration) • Lookback: 50–100 • StdDev / Z-Score Multiplier: 1.0–1.5 • Use EMA Instead of SMA?: on • Use Robust Stats?: optional • Use Volume Change vs Previous Bar?: on • Use Z-Score on Volume?: off • Min Volume vs Avg (Filter): 0.5–1.0 Behavior: Emphasis on sudden increases in volume rather than absolute size – useful to catch “first active bar” after a quiet period. ⸻ 6. Limitations / notes • Time-of-day effects The script currently treats the entire chart as one continuous “session”. On 24/7 markets (crypto) this is fine. For regular-session assets (equities, futures), volume naturally spikes at open/close; you may want to: • Use a shorter Lookback, or • Add a session-aware filter in a future iteration. • Illiquid symbols On very low-liquidity symbols, robust stats (Use Robust Stats) and a non-zero Min Volume vs Avg can help avoid “everything looks extreme” problems. • Overlay behavior overlay = true means: • Bars are recolored on the price pane. • Volume bands are also drawn on the price pane if enabled. If you want a dedicated panel for the bands, duplicate the logic in a separate script with overlay = false.
Indikator Pine Script®
oleh w03