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VWAP MTF 5-BandVWAP MTF Suite Overview The MTF Institutional VWAP Suite is a high-performance, multi-timeframe analysis tool designed for professional traders who require precise structural anchors. Built on the latest Pine Script v6 engine, this indicator allows for the simultaneous tracking of up to five independent VWAPs, each with its own volatility bands and customizable reset logic. Unlike standard VWAP indicators that are limited to daily sessions, this suite provides institutional "magnets" across multiple horizons, allowing you to visualize where high-volume participants are positioned on a Daily, Weekly, Monthly, or Intraday basis. Key Features 5 Independent VWAP Engines: Run up to five unique VWAPs concurrently without chart lag. Multi-Timeframe Anchoring: Choose from hard-coded institutional pivots: Month, Week, Day, 12-Hour, 4-Hour, and 1-Hour. Institutional Volatility Bands: Each VWAP includes an optional 1-Standard Deviation band calculated using cumulative variance logic for maximum precision. Advanced UI Controls: Granular toggles for each instance allow you to display only the center line, only the bands, or the full shaded "value area" for any specific timeframe. Modern Pine v6 Architecture: Utilizes the latest 2026 Pine Script optimizations, including method chaining and global-scope plot execution for a bug-free experience. How to Use Identify Value Clusters: When multiple VWAPs (e.g., Daily and Weekly) converge at a single price point, it creates a high-probability "Institutional Pivot" zone. Mean Reversion: Use the 1-Standard Deviation bands to identify overextended price action. Institutional algorithms often mean-revert toward the VWAP when price reaches the exterior bands in a low-volatility environment. Trend Confirmation: Use the slope and position of the 4-Hour or Daily VWAP to determine intraday bias. Trading above a rising VWAP confirms a "Long Gamma" or bullish trend. Settings Anchor Selection: Defines the starting point of the volume-weighted calculation. Bands & Fill Toggles: Quickly clean up your chart by hiding the volatility bands or the background shading for specific timeframes. Visual Customization: Full control over center line colors, global band colors, and label offsets to prevent text overlap on the right-hand scale. Developer Notes This script was optimized for the 2026 TradingView environment. It uses a custom variance-tracking function rather than the basic built-in ta.vwap to ensure that standard deviation bands remain mathematically accurate even when crossing multiple sessions or weekend gaps.
Indicador Pine Script®
por ParkCityGuy
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version 1. Overview The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day. Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks) Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability Trade Frequency: Only first trade per day is taken for simplicity and high quality 2. Key Components a) Daily Levels Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar. These are drawn as anchored horizontal lines, extending to the current day. PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped. b) Trap Concept The strategy is based on the “liquidity trap” principle: Buyer Trap (Short Entry): Price breaks above the previous day high (PDH) → buyers think price will continue higher. Price reverses immediately below PDH, trapping aggressive buyers above the key level. This creates selling pressure, giving an opportunity to enter short. Seller Trap (Long Entry): Price breaks below the previous day low (PDL) → sellers think price will continue lower. Price reverses immediately above PDL, trapping aggressive sellers below the key level. This creates buying pressure, giving an opportunity to enter long. The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves. c) Trade Execution Logic Buyer Trap / Short Entry: Condition: high > PDH AND close < PDH AND no trade taken yet today Entry: Short at the close of the trap candle Stop Loss: ATR-based above the trap candle high to avoid minor wick stops Take Profit: 2:1 Risk-to-Reward ratio Seller Trap / Long Entry: Condition: low < PDL AND close > PDL AND no trade taken yet today Entry: Long at the close of the trap candle Stop Loss: ATR-based below the trap candle low Take Profit: 2:1 Risk-to-Reward ratio Only the first trap trade of the day is allowed to avoid overtrading. d) Risk Management Stop-Loss (SL): ATR-based to account for market volatility Ensures the trade survives minor wick sweeps without being stopped out prematurely Take-Profit (TP): Fixed 2:1 R:R relative to SL Ensures each winning trade outweighs potential losses Trade Frequency: Only first trade per day is allowed, making it highly selective and reducing noise 3. Visual Features PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded: PDH → Green PDL → Red Trade Labels: Placed on the trap candle: Short → Red label “Short” Long → Green label “Long” The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered. 4. How the Strategy Works – Step by Step Example for Short (Buyer Trap): Market opens, PDH/PDL from yesterday are drawn. Price spikes above PDH → some buyers enter expecting breakout continuation. Price immediately closes back below PDH, trapping buyers. The strategy enters short at the close of the reversal candle. SL: placed above the trap candle using ATR to give room TP: calculated as 2x the risk (distance from entry to SL) Trade executes — first trade of the day. Any further trap signals today are ignored. Example for Long (Seller Trap): Price drops below PDL → some sellers enter. Price immediately closes back above PDL, trapping sellers. Strategy enters long at the close of the reversal candle. SL: below trap candle using ATR TP: 2:1 R:R Trade executes — only first trade of the day. 5. Why This Strategy Works Exploits liquidity zones: Markets often hunt stops above PDH or below PDL. High-probability reversals: Trapped traders create strong counter moves. ATR SL: avoids being stopped by minor market noise or wick spikes. Selective trading: Only first trade per day → reduces overtrading and noise. Clear visual markers: Makes manual observation and confirmation easy. 6. Key Tips for Traders Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity. Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise. Avoid trading around major news releases — traps can behave differently during high volatility events. Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move. ✅ Summary: The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows. It uses ATR-adapted stops and 2:1 R:R TP. Only first trade per day is executed, reducing false signals. Anchored PDH/PDL lines and labels make trade opportunities clear. This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
Estratégia Pine Script®
por Danish7421
Adaptive Market Structure Channel By S B PrasadAdaptive Market Structure Channel (AMSC) Institutional-Grade Trend, Volatility & Liquidity Framework Overview The Adaptive Market Structure Channel (AMSC) is a multi-engine, adaptive trading framework designed to read market structure, volatility, liquidity, and trend strength in real time. It integrates ATR-based channels, pivot structure, supply–demand zones, liquidity sweeps, multi-factor momentum, and higher-timeframe confirmation into a single, coherent visual system. AMSC is not a single-indicator strategy. It is a context-driven decision framework intended to help traders align entries with dominant trend, structural levels, and institutional activity. Core Components 1️⃣ Adaptive ATR Trend Channel Dynamic ATR-based support & resistance Automatically adjusts to volatility Color-coded trend strength (strong / weak regimes) Acts as the primary trend bias filter 2️⃣ Pivot-Based ATR Trend Channels Channels built from confirmed pivot highs and lows ATR-expanded structure, not fixed slopes Separates impulse moves from corrections Useful for trend continuation and pullback trades 3️⃣ Market Structure: Supply & Demand Zones Automatically plots fresh demand and supply zones Zones extend forward until violated Helps identify high-probability reaction areas Used as a location filter, not a standalone signal 4️⃣ Liquidity Sweep Detection (Smart Money Logic) Identifies equal high / equal low liquidity pools Detects stop-hunt style sweeps Validates sweeps only when price reacts from structure zones Prevents chasing false breakouts 5️⃣ Multi-Factor Trend Confirmation Engine Combines: EMA structure MACD momentum RSI regime VWAP positioning Optional ribbon & HMA filters Signals are generated only when a majority of factors align, avoiding single-indicator bias. 6️⃣ Volatility Context (Bollinger Bands) Provides volatility expansion / contraction context Helps distinguish trend continuation vs compression Works as a background regime filter 7️⃣ Higher Timeframe Confirmation Confirms trend using a user-selected HTF Prevents counter-trend trades during strong HTF bias Essential for intraday and swing traders 8️⃣ Session-Aware Trading Optional India, London, and New York session filters Signals only during active market participation Avoids low-liquidity false signals 9️⃣ Professional Dashboard Real-time display of: Trend direction Trend strength Factor alignment HTF bias Active zone Trade signal Session status Designed for quick decision-making, not clutter. How to Use AMSC (Best Practice) ✔ Trade in the direction of the ATR trend ✔ Enter near demand/supply within the channel ✔ Confirm with factor alignment & HTF bias ✔ Use liquidity sweeps as entry triggers, not signals alone ✔ Avoid trades during low-strength or inactive sessions AMSC performs best when used as a confluence system, not a mechanical entry-exit robot. Ideal Use Cases Intraday index trading Swing trading in trending markets Futures & FX structure-based trading Traders who prefer context over indicators What AMSC Is NOT ❌ Not a scalping toy ❌ Not a repainting indicator ❌ Not a one-click signal generator It is built for disciplined traders who understand structure and risk. Final Note AMSC is designed to think like the market, not predict it. Use it to read conditions, not chase signals. MSC — BEST CLEAN SETUP (RECOMMENDED) 🎯 Design Philosophy “Context first, signals last.” The goal is to: Read trend & structure at a glance Avoid indicator overload Let price + zones + channel do the heavy lifting 1️⃣ CORE VISUALS (KEEP ON) These are non-negotiable. 🔹 Adaptive ATR Trend Channel ✅ ON Primary trend bias Use ATR Trendline Color = ON This alone defines: Bull vs Bear Strength vs weakness 👉 If price is above channel → bullish context 👉 If price is below channel → bearish context 🔹 Pivot ATR Trend Channel ✅ ON Channel fill: ON Transparency ≥ 85 Purpose: Visualise trend slope Spot pullbacks inside trend 👉 Treat channel edges as dynamic structure, not entry signals. 🔹 Supply & Demand Zones ✅ ON Transparency: 80–85 Zones auto-expire visually when violated 👉 These are your only horizontal levels. 2️⃣ SMART FILTERS (SELECTIVE) 💧 Liquidity Sweep ✅ ON Lookback: 5 Tolerance: 0.15 ATR 👉 Use sweeps only near zones ❌ Ignore sweeps in the middle of nowhere ⏱ Session Filter ✅ ON Trade only one session India (for NSE) London (for FX) New York (for US indices) ❌ Do NOT enable multiple sessions simultaneously 🔍 Higher Timeframe (HTF) ✅ ON Intraday: Daily Swing: Weekly 👉 If HTF disagrees → no trade 3️⃣ WHAT TO TURN OFF (CRITICAL) This is where clutter dies. ❌ Bollinger Bands 🚫 OFF by default Use only when studying volatility compression Otherwise adds visual noise ❌ Full ATR Channel (Ver 15) 🚫 OFF Redundant with pivot + ATR trend Keep only one channel logic ❌ SuperTrend Channel 🚫 OFF ATR Trend Channel already covers this ❌ Pivot Levels (P, R1, S1…) 🚫 OFF Zones replace static pivots Too many horizontal lines = paralysis ❌ Previous Day / Week Levels 🚫 OFF Turn ON only for index option trading Otherwise clutter 4️⃣ MOVING AVERAGES (STRICT RULE) Keep ONLY: EMA Fast (9) EMA Slow (21) Optional: HMA → ON only for scalping ❌ Do NOT stack multiple MAs visually 5️⃣ DASHBOARD (MINIMAL MODE) 🧭 Dashboard ✅ ON Position: Top Right Text Size: Small Watch only: Trend Strength HTF Zone Signal Ignore factor numbers once confidence develops. 6️⃣ SIGNAL USAGE (DISCIPLINE RULE) ✔ Signal must appear inside a zone ✔ Signal must align with trend & HTF ✔ Signal must be during session ❌ Never take: Signals mid-channel Signals against HTF Signals during flat strength (<30%) 7️⃣ RECOMMENDED PRESETS (COPY THIS) 🔹 Intraday (Clean) Timeframe: 5m / 15m HTF: Daily Session: India / NY BB: OFF Full ATR: OFF SuperTrend: OFF Pivots: OFF 🔹 Swing (Ultra Clean) Timeframe: 1H / 4H HTF: Weekly Liquidity: ON Zones: ON Dashboard: ON (small) 8️⃣ GOLDEN RULE (MOST IMPORTANT) If you cannot explain the trade using only: Trend channel One zone One sweep Do not trade it. 🏁 FINAL VERDICT AMSC is not cluttered by design. Clutter comes from turning everything ON. Used correctly: The chart stays clean Decisions become obvious Overtrading disappears AMSC – TRADE EXECUTION RULEBOOK Framework rule: Trend → Structure → Liquidity → Entry → Risk → Exit 1️⃣ MARKET PRE-CONDITIONS (MANDATORY) ❌ NO TRADE unless ALL are TRUE ✅ Trend Filter ATR Trend Channel = Bull for longs / Bear for shorts Trend strength ≥ 40% Price must be on the correct side of the channel ✅ HTF Confirmation HTF bias must match LTF trend If HTF is neutral → NO TRADE ✅ Session Filter Trade only during active session No first 5 minutes after session open No last 15 minutes before session close 2️⃣ LOCATION RULE (MOST IMPORTANT) 🔹 Long Trades Price must be inside or just above a DEMAND zone Zone must be: Fresh (not tested more than twice) Within the Pivot ATR Channel 🔹 Short Trades Price must be inside or just below a SUPPLY zone Same freshness rules apply ❌ No zone → no trade 3️⃣ LIQUIDITY CONFIRMATION (ENTRY TRIGGER) 🔹 Long Entry Trigger At the demand zone, you must see: ✔ Sell-side liquidity sweep ✔ Sweep candle closes bullish ✔ Sweep occurs inside the zone 🔹 Short Entry Trigger At the supply zone, you must see: ✔ Buy-side liquidity sweep ✔ Sweep candle closes bearish ✔ Sweep occurs inside the zone 4️⃣ ENTRY RULE (EXECUTION) 🔵 LONG ENTRY Enter BUY when all conditions align and: Enter at: Close of the sweep candle OR 50% retrace of the sweep candle (preferred) 🔴 SHORT ENTRY Enter SELL when: Enter at: Close of the sweep candle OR 50% retrace of the sweep candle 5️⃣ STOP-LOSS RULES (NON-NEGOTIABLE) 🔻 Long SL Place SL at: Lowest point of the demand zone OR Below sweep low − 0.1 ATR (whichever is lower) 🔺 Short SL Place SL at: Highest point of the supply zone OR Above sweep high + 0.1 ATR (whichever is higher) ❌ Never trail SL early ❌ Never move SL to break-even before partial exit 6️⃣ POSITION SIZE (FIXED RISK ONLY) Risk per trade: 0.5% – 1% max If SL distance is large → reduce position size Do not widen SL to fit position 7️⃣ EXIT RULES (STRUCTURED) 🎯 TARGET 1 (T1 – Protection) At 1R Action: Book 50% Move SL to Break-Even 🎯 TARGET 2 (T2 – Structure) Next opposite zone OR Pivot ATR Channel mid-line Book 30% 🎯 FINAL EXIT (TREND FOLLOW) Exit remaining 20% when: ✔ Opposite liquidity sweep occurs ✔ Price closes beyond Pivot ATR Channel ✔ HTF bias flips ✔ Session ends 8️⃣ NO-TRADE CONDITIONS (ABSOLUTE) ❌ Trend strength < 30% ❌ Zone already tested 3+ times ❌ Liquidity sweep outside zone ❌ Entry candle is oversized (>1.8 ATR) ❌ Trade against HTF ❌ Emotional or revenge trade 9️⃣ ONE-SCREEN TRADE CHECKLIST Before clicking BUY/SELL: ✔ Trend aligned ✔ HTF aligned ✔ In session ✔ At zone ✔ Sweep confirmed ✔ SL defined ✔ R ≥ 2 possible If any answer = NO → skip trade 🔒 DISCIPLINE STATEMENT (PRINT THIS) AMSC does not pay for activity. It pays for patience, location, and discipline. 🏁 EXPECTED PERFORMANCE (REALISTIC) Win rate: 45–60% R:R average: 1:2.5 to 1:4 Drawdown: low Trade frequency: selective Adaptive Market Structure Channel — Visual Layout 5 🧭 How to READ the Chart (Left → Right) 1️⃣ Core Trend Context (FIRST thing your eyes see) ATR Trend Channel Acts as dynamic support/resistance Green = bullish regime Red = bearish regime No second trendline competing with it 👉 If price is on the wrong side → no trade 2️⃣ Pivot ATR Structure Channel (SECOND layer) Sloping channel following real swing structure Shows: Trend acceleration Healthy pullbacks Channel fill is very light (high transparency) 👉 Pullbacks inside this channel are valid 👉 Breaks outside = caution / exit 3️⃣ Supply & Demand Zones (ONLY horizontal objects) Few, wide, soft-colored zones No pivot clutter, no fibs, no grids 👉 Trades happen only here 4️⃣ Liquidity Sweep Markers (EVENT-BASED) Appears only near zones Indicates stop-hunt, not entry by itself 👉 Sweep + zone + trend = setup 👉 Sweep alone = ignore 5️⃣ Dashboard (Decision Support, not distraction) Small Corner-placed Shows only: Trend Strength HTF bias Zone Signal Session 👉 After experience, you’ll barely look at it 🚫 What You DO NOT See (Very Important) A clean AMSC chart intentionally avoids: Multiple moving averages Pivot levels (P/R/S) Too many channels Oscillator panels Bright fills or thick lines If your chart looks “busy”, something is ON that should be OFF. 🧠 Mental Model (Keep This Image in Mind) AMSC chart = 1 dynamic trend 1 structure channel 1 zone 1 liquidity event 1 decision Anything more → clutter Anything less → blind trading ✅ Final Visual Checklist (Before Trading) ✔ Chart background visible ✔ Candles clearly readable ✔ Zones visible but not loud ✔ Channel guides the eye ✔ Nothing overlaps price excessively If yes → you are trading AMSC correctly
Indicador Pine Script®
por ritaprasad43
Toby Crabel's HisVolAs in Linda Raschke's Street smarts..... . This indicator shows the signals of Toby Crabel's Historical Volatility 6/100 strategy. The strategy assumes, that volatility contraction measured by two measures would give better results. There is one other script that is a strategy , but it assumes that the signal requires both inside bar and narrowest range, what is not as in Linda Raschke's. The strategy and what does the script do: 1) measures short-term unannualized volatility (by default six), long term uannualized volatility (by default 100), and measures the ratio of short volatility / long volatility. 2) checks if the current bar is an inside bar or has narrowest range out of last X bar (by default 4), or both, 3) puts an etiquette if short volatility / long volatility is equal to or smaller than 0,5 AND the day is inside bar, has narrowest range, or both. Next day both buy-stop and sell-stop should be set. Buy-stop at the high and sell-stop at the low of the bar with etiquette. This is by no means any financial advice, nor the historical results guarantee future gain.
Indicador Pine Script®
por nikt_inny
1
Intraday Session Ranges (Asian-London-NY) - JonathanJD86This script is a technical utility designed to automatically track and visualize the high and low price levels of the three major trading sessions (Asian, London, and New York). How it works: The script uses the time() function with the America/New_York timezone anchor to ensure accuracy regardless of the user's local time. It tracks the maximum and minimum price values during specific user-defined intervals. Key Methodology: Vertical Tick Offset: Unlike standard session boxes, this tool allows users to set a vertical gap (in ticks) so that the labels do not overlap the candle wicks, providing a clearer view of the actual price action. Session Intervals: Defaulted to high-activity windows: Asian (20:00-00:00), London (02:00-05:00), and New York (08:30-16:00). Dynamic Visibility: The script includes a logical check to automatically hide levels on timeframes higher than 1H, preventing chart clutter during macro analysis.
Indicador Pine Script®
por JonathanJD86
Big Trades [Volume Anomalies] (Enhanced)The script is a **volume-anomaly “big trades” detector** for futures that tries to (1) split each candle’s volume into a **buy-pressure** and **sell-pressure** estimate, (2) flag **statistically extreme** candles (tiers), and (3) optionally label those extremes as **initiative (follow-through)** vs **absorbed (no follow-through)** using a forward-style confirmation window. Here’s what it does, piece by piece. --- ## 1) What it’s trying to detect It’s not true “whale prints” or real bid/ask delta. It detects: * **unusually large participation** (volume anomaly) * with a **directional guess** (buy-ish vs sell-ish) * and then checks whether price **continued** after that anomaly So it’s: **“big participation + did it work?”** --- ## 2) The “buy vs sell volume” estimate For each candle, it builds a **weight** for buy and sell pressure: * **close location within the candle** * close near high → more buy weight * close near low → more sell weight * **body direction (close–open)** * bullish body adds buy boost * bearish body adds sell boost Then it computes: * `raw_buy = volume * buy_weight` * `raw_sell = volume * sell_weight` This is an **OHLC-based proxy** for pressure, not real aggressor volume. --- ## 3) Normalization (makes it behave across sessions) If enabled, it divides by ATR: * `norm_buy = raw_buy / ATR` * `norm_sell = raw_sell / ATR` This helps a lot on futures because volume/volatility regimes differ between Asia/London/NY. --- ## 4) Statistical anomaly detection (z-score logic) It calculates “what’s normal” using the last `lookback` bars, but **uses ` `** so the current bar doesn’t contaminate the stats (reduces flicker): * `avg_buy = sma(norm_buy, lookback) ` * `std_buy = stdev(norm_buy, lookback) ` (and same for sell) Then it computes **z-scores**: * `z_buy = (norm_buy - avg_buy) / std_buy` * `z_sell = (norm_sell - avg_sell) / std_sell` If z-score crosses thresholds, it triggers tiers: * Tier 1: `sigma` * Tier 2: `sigma + tier_step1` * Tier 3: `sigma + tier_step2` So **Tier 3 = “big bubble”**. --- ## 5) Optional VWAP bias filter It computes VWAP correctly as: * `vwapv = ta.vwap(hlc3)` If enabled: * buys only when `close >= vwap` * sells only when `close <= vwap` This is just a **trend/bias filter** to reduce counter-trend bubbles. --- ## 6) Plotting (how bubbles appear) It places markers at: * buys around `(close+low)/2` (lower-ish) * sells around `(close+high)/2` (upper-ish) And draws: * small/medium/large circles (depending on tier) * with optional INIT/ABS overlays (explained next) --- ## 7) “Initiative vs Absorbed” classification (the smart part) Because Pine can’t see the future on the same bar, your script does a **delayed evaluation**: * It waits `N = confirm_bars` * Looks at what happened from the signal bar to the current bar * Decides if price moved far enough in the intended direction It uses: * `hh_window = highest(high, N+1)` * `ll_window = lowest(low, N+1)` (these cover the last N+1 bars: from signal bar to now) Then it measures follow-through: * For a buy signal N bars ago: `buy_move = hh_window - high ` * For a sell signal N bars ago: `sell_move = low - ll_window` It compares to an ATR-based threshold anchored to the signal bar: * `thr_move_sig = ATR * move_mult_atr` If move > threshold → **INIT** Else → **ABS** Then it **plots back onto the original signal bar** using `offset=-N` so it visually marks the candle that caused it. To make it obvious: * **INIT** = circle * **ABS** = X This part is “accurate” in the sense that it’s purely **price-outcome based**. --- ## 8) Labels (optional) If enabled, it prints labels on those large signals with: * INIT/ABS * the z-score at the signal bar * and a “delta proxy” (`norm_buy - norm_sell`), not true delta --- ## In one sentence The script flags **statistically extreme volume-pressure candles** (buy/sell proxy), and then classifies those extremes as **worked (initiative)** or **failed (absorbed)** based on **subsequent price movement** within `confirm_bars`.
Indicador Pine Script®
por alcomeho
Stop lossHi all! This simple indicator will alert you when a price limit is reached (stop loss). I've created this indicator out of 2 reasons: 1. My broker only lets me to set a stop loss limit until a certain time. The time is a couple of months forward in time, but with a Tradingview plan that lets you set open-ended alerts this can alert you later than that. 2. I would like a stop loss on closing price only. This will not get you stopped out by a wick, but needing a 'close' price to be equal or below (for long trades) or equal or above (for short trades). So this indicator will alert you when your stop to is hit and exit with a 'runtime.error' on the tick after the alert. It won't give you any good looking visuals, just a red line of your chosen stop loss price. Set it in the settings or click '...'->'Reset points...' and drag the line to your desired limit price. Also choose if your trade direction is long or short and if the bar that enters below/above your stop loss needs to be closed. Note that there's a limitation depending on your style of trading (short term or long term) and if your Tradingview subscription provides live data or not. Also this will only alert you, not buy (for short trades) or sell (for long trades) your contracts when the stop loss is hit. Best of trading luck!
Indicador Pine Script®
por mickes
15:50 AnticipeThis indicator is designed to anticipate the market behavior around a specific time of day (by default 15:50) by evaluating market conditions one minute before the target candle. It is primarily intended for intraday trading on 1-minute charts, especially on index futures such as NQ / MNQ. The logic combines trend, volatility compression, momentum, volume, and VWAP positioning, using a scoring system to determine whether a LONG, SHORT, or NEUTRAL bias is statistically favored before the target candle prints. Core Concept At the anticipation candle (15:49 by default), the indicator evaluates multiple technical conditions. Each condition adds points to a LONG score or SHORT score. If one side reaches the required score threshold and is stronger than the opposite side, a persistent signal is generated and held through the 15:50 candle. The 15:50 candle is highlighted in yellow for visual reference. Indicators Used The system combines: • Bollinger Bands to detect volatility compression • EMA 9 / EMA 21 / EMA 89 for short-term and structural trend • RSI for momentum confirmation • Volume Spike Detection based on a volume SMA multiplier • Anchored VWAP, reset daily and anchored at a configurable time • Optional Reversal Mode for mean-reversion setups Scoring Logic Each side (LONG / SHORT) accumulates points based on conditions such as: • Bollinger Band compression • EMA 9 vs EMA 21 alignment • Price location relative to EMA 9 and BB basis • RSI above or below threshold • Volume spike confirmation • Price position relative to Anchored VWAP If Reversal Mode is enabled, additional points are added when: • Price touches or exceeds Bollinger extremes • RSI divergence is detected • Price deviates significantly from Anchored VWAP Reversal conditions carry more weight, favoring exhaustion and snap-back setups. Signal Generation At the anticipation candle: • LONG signal Triggered when LONG score ≥ required threshold and stronger than SHORT score. • SHORT signal Triggered when SHORT score ≥ required threshold and stronger than LONG score. • NEUTRAL signal Displayed when neither side has a clear statistical edge. Signals are displayed as labels above or below price, positioned dynamically using ATR to avoid candle overlap. Once triggered, the signal remains active through the 15:50 candle and can be used for trade execution or confirmation. Anchored VWAP The Anchored VWAP: • Resets automatically each trading day • Starts calculating from a user-defined hour and minute • Acts as a directional and mean-reversion reference • Is fully integrated into both trend and reversal logic Alerts The indicator provides alert conditions for: • Anticipated LONG setup • Anticipated SHORT setup • NEUTRAL condition Alerts trigger when the anticipation signal becomes active, allowing automation or discretionary execution. Intended Use This indicator is best used as: • A directional bias tool before a known time-based volatility event • A confirmation layer, not a standalone entry system • A way to structure disciplined trades instead of reacting emotionally to the 15:50 candle It favors clarity, confluence, and probability, not prediction.
Indicador Pine Script®
por angersmike
Weekly macro ratio indicator tracking Silver/Gold with a 30-weekWhat this indicator does This indicator tracks the Silver/Gold ratio on a weekly basis to determine whether silver is leading gold (risk appetite returning inside metals) or gold is leading silver (more defensive precious-metals posture). Why Silver/Gold matters When Silver/Gold rises, silver is outperforming gold — often associated with reflation, growth expectations, or broad risk appetite. When Silver/Gold falls, gold is outperforming silver — often associated with defense, uncertainty, or tighter financial conditions. This ratio is not a timing tool — it’s a regime/leadership indicator. How it works (regime rules) Using weekly data: Compute Silver ÷ Gold Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (silver leading) Bear: Ratio below a falling 30-week SMA (gold leading) Neutral: Transition/range A clear label marks the current regime. How to use it in your system - This indicator is designed to be used as part of the broader TQ Weekly Macro Framework, alongside other TQ indicators such as TQ Gold Trend (Weekly Macro), TQ Gold / DXY (Weekly Macro), and TQ Gold / SPY (Weekly Macro). Each indicator can also be used independently. Use after confirming: Pane 1: Gold Trend Pane 2: Gold/DXY Pane 3: Gold/SPY If Silver/Gold is Bull, metals participation is broadening and silver often has more upside torque. If Silver/Gold is Bear, gold leadership is defensive; silver exposure may underperform. Neutral often signals rotation or consolidation. Best timeframe Designed for weekly macro regime analysis.
Indicador Pine Script®
por tradingqueen18
hap adxAdaptive ADX & DI Color Bars – Indicator Description This indicator is an advanced ADX-based momentum and trend strength visualizer. Instead of displaying raw ADX and DI values only, it dynamically changes bar colors based on the relationship between ADX, +DI, and −DI, making market conditions instantly readable. Core Logic: - Rising ADX indicates increasing momentum and trend strength - Falling ADX signals weakening trend or transition to range - +DI vs −DI defines bullish or bearish directional control Color States: Strong Bullish Trend: - ADX is rising - +DI is above −DI - Shows strong bullish momentum and trend continuation Weak / Early Bullish: - +DI above −DI - ADX flat or weakening - Trend exists but momentum is not fully confirmed Strong Bearish Trend: - ADX is rising - −DI is above +DI - Strong bearish dominance and continuation Weak / Early Bearish: - −DI above +DI - ADX weakening - Selling pressure exists but momentum is fading No-Trade / Range Zone: - ADX is low or clearly declining - +DI and −DI are close or frequently crossing - Market is ranging or indecisive Why This Indicator Is Useful: - Removes the need to interpret raw ADX values - Visually highlights trend strength, weakness, and transitions - Helps avoid low-quality trades during weak momentum - Works perfectly as a trend filter for scalping, day trading, and swing trading Best Use Cases: - Trend confirmation - Momentum filtering - Entry quality validation - Avoiding false breakouts in low ADX conditions
Indicador Pine Script®
por onderarslantas107
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use) Overview This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars. The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve. --- Why use logarithms? Price action is typically more meaningful in **percentage moves** than in absolute dollar moves. * A move from $100 → $200 is +100% * A move from $2000 → $2100 is only +5% By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes. So instead of modelling (P), the indicator models: --- The growth model: Power-law curve The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time: where (t) is the number of days (or bars) since the first data point. It then fits a straight-line model in log-log space: Substituting back in: Exponentiating both sides gives the curve in normal price units: This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports. --- What “expanding regression” means The model uses all data available from the beginning of the chart up to the current bar. That means: * Early in the asset’s history the curve can change more because there are fewer points. * Over time the curve becomes more stable as more history is included. Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in. --- Measuring “typical deviation” from the curve (residual volatility) Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it. At any time point: * Actual log price is (y = \ln(P)) * Predicted log price from the curve is (\hat{y} = a + b\ln(t)) The **residual** is: The indicator computes the standard deviation of these residuals: This (\sigma) is a measure of typical “distance from trend” in log terms. --- Building the bands (the key idea) The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down: Upper band (k): Lower band (k): Where: * (k) is the band number (1, 2, 3, …) * (s) is a user-chosen spacing factor (band spacing) * (\sigma) is the residual standard deviation Converting back to normal price: Upper band (k): Lower band (k): Why bands look like “translated copies” Because shifting by a constant in log space equals multiplying by a constant in price space: So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts. --- Optional curve shift (manual adjustment) A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower. Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor: * Positive shift → multiplies all bands upward * Negative shift → multiplies all bands downward --- How to interpret the zones The base curve represents a long-term “trend center” in log-growth terms. * Price near the base curve → near long-term trend * Price in upper bands → expensive relative to long-term trend * Price in lower bands → cheap relative to long-term trend Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels. --- Long-term buy zones (Lower 1 and Lower 2) **Lower 1** and **Lower 2** are intended as **long-term accumulation zones**. When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to: * deep bear markets, * high fear / capitulation phases, * long accumulation periods. A simple long-term framework many users apply: * **Accumulate gradually when price enters Lower 1** * **Accumulate more aggressively when price enters Lower 2** * Reduce risk / take profits progressively in higher upper bands These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions. --- ## Notes / limitations * This indicator is a **macro trend tool**, not an intraday trading system. * The curve is derived from historical behavior; it can shift slowly as new data arrives. * Extremely new market regimes or structural changes can reduce reliability. * Use alongside risk management and additional confirmation if trading. ---
Indicador Pine Script®
por Giovanni_Ambrosio