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Directional Authority Framework (DAF) - Multi Timeframe BreakoutDirectional Authority Framework (DAF) — Multi-Timeframe Breakout Acceptance Model Overview The Directional Authority Framework (DAF) is a multi-timeframe market state model designed to measure directional strength and alignment across higher, mid, and lower timeframes. Rather than producing entry signals, the framework evaluates whether market conditions show sufficient agreement and persistence to justify directional trading. Its primary purpose is to act as a decision-support and trade-permission tool. Conceptual Foundation Markets tend to trend more reliably when three conditions occur together: Higher timeframe directional bias is established Intermediate structure aligns with that bias Lower timeframe participation confirms continuation This script measures that alignment using a breakout-acceptance approach, where directional state is only confirmed after price demonstrates persistence beyond recent range extremes. This helps reduce reactions to temporary volatility spikes or single-bar breakouts. Breakout Acceptance Logic Directional state is determined by observing whether price continues to close beyond prior range boundaries for a defined number of bars (“acceptance”). This approach is intended to: Filter false breakouts Emphasize persistence instead of single-bar expansion Capture phases where participation remains consistent The model therefore focuses on trend continuation probability rather than early reversal detection. Multi-Timeframe Authority Structure The framework evaluates three layers: Higher Timeframe (Primary Bias) Establishes the dominant directional environment. Mid Timeframe (Alignment Layer) Checks whether structure across multiple range horizons agrees with the primary bias. Lower Timeframe (Execution Context) Measures short-term participation strength. Directional authority is then expressed as a weighted score representing the degree of agreement between these layers. Directional Authority Score The score reflects the balance between: Higher timeframe bias Mid timeframe alignment Lower timeframe participation Stronger agreement across timeframes produces higher absolute values, indicating conditions where directional strategies may have improved follow-through. Neutral readings typically occur during compression or transitional phases. How It Is Intended To Be Used This framework is designed to: Act as a trade permission filter Provide directional bias context Help avoid trading during low-alignment conditions Typical workflow: Identify whether the authority score reaches strong bullish or bearish territory Use that information as directional context Execute entries using an independent setup or strategy It is not designed to generate standalone entry or exit signals. When It Performs Best The model is most informative during: Expanding volatility phases Sustained directional moves Markets showing multi-timeframe agreement During highly rotational or range-bound conditions, readings will naturally compress toward neutral. Notes This script is intended for educational and analytical use as a market structure and alignment tool. It does not predict future price movement and should be used alongside proper risk management.
Индикатор Pine Script®
от jonathanmwendwa2021
MTF Trend Alignment (D/4H/1H/30M/M15/M5)MTF Trend Alignment (D/4H/1H/30M/M15/M5) A multi-timeframe trend dashboard combined with real-time market structure labels, built entirely on price action — no lagging indicators, no EMAs, no oscillators. How the Dashboard Works The dashboard displays trend direction across six timeframes: Daily, 4 Hour, 1 Hour, 30 Minute, 15 Minute, and 5 Minute. Trend is determined using a protected-level structural break method rooted in Smart Money Concepts (SMC) and ICT methodology. When price closes above a confirmed swing high, the trend is set to bullish and the most recent swing low becomes the "protected low." The trend remains bullish through pullbacks, minor dips, and noise — it only flips to bearish when a candle body closes below that protected low. As the trend progresses and new swing highs form, the protected low trails upward to the most recent swing low, tightening the structure. The same logic applies in reverse for bearish trends with a protected high. This approach filters out false signals caused by minor retracements. A pullback within a trend does not flip the dashboard — only a genuine structural break does. How the Labels Work On the chart timeframe, the indicator detects confirmed swing highs and swing lows using a configurable pivot lookback length. Each new swing is compared to the previous swing of the same type using the candle body close (not the wick) to classify it as HH (Higher High), LH (Lower High), HL (Higher Low), or LL (Lower Low). Dashed horizontal lines extend from each swing level and remain on the chart until price closes through them, at which point they are automatically removed. Labels stay anchored to the right edge of the line for clean readability. The labels show micro-structure (what individual swings are doing), while the dashboard shows the macro trend (overall direction). It is normal to see LL labels during a pullback within a bullish trend — the dashboard will remain bullish as long as the protected low holds. Key Features Pure price action trend detection across 6 timeframes with no lagging indicators Protected-level structural break logic (standard ICT/SMC methodology) — trend only flips on confirmed CHoCH (Change of Character) HH/HL/LH/LL labels with auto-extending dashed lines that remove themselves when broken Close-based classification — candle body determines structure, not wicks Configurable pivot lookback length, max labels, and structure history depth Full alignment detection with optional background highlight and alert when all 6 timeframes agree Dashboard repositioning (Top Right, Top Left, Bottom Right, Bottom Left) Lightweight: only 6 request.security() calls total Inputs Pivot Lookback Length: Number of bars left and right required to confirm a swing point. Lower values detect more swings (more reactive), higher values detect only significant structure (smoother). Max Recent Labels: Limits how many HH/HL/LH/LL labels appear on the chart at once. Structure History: Only draws labels and lines within this many recent bars, keeping the chart clean. Show Alert Only When All Aligned: Enables a background color highlight and triangle signal when all 6 timeframes agree on direction. How to Use Look for confluence. When the dashboard shows all or most timeframes aligned in the same direction, that is a higher-probability environment for entries in that direction. Use the chart-level labels to identify structure and key levels for entries and stops. The protected low (in a bullish trend) or protected high (in a bearish trend) serves as the structural invalidation level. This indicator does not generate buy or sell signals. It provides structural context and multi-timeframe alignment awareness to support your own trading decisions.
Индикатор Pine Script®
от tennyson_onovwiona
Price Efficiency Ratio (PER) [SharpStrat]Price Efficiency Ratio (PER) The Price Efficiency Ratio (PER) is built around a simple question: how efficiently is the market moving from its starting point to its current point? Price often moves in indirect ways. Sometimes it travels cleanly in one direction with very little noise, and sometimes it spends more energy moving up and down than actually progressing. PER quantifies this behavior and turns it into a clear, readable number that identifies whether the market is behaving like a trend or a range. To make the idea intuitive, imagine walking from point A to point B. If you walk straight, you arrive efficiently. If you zigzag, backtrack, or wander before reaching the same point, your total travel distance becomes much larger than the straight line distance. PER applies this exact idea to price movement. How the Indicator Computes Efficiency The indicator measures two distances over the selected lookback period: Net Distance: This is the absolute distance between the closing price now and the closing price at the start of the lookback period. It represents how far the market has actually progressed. Total Distance: This is the sum of every bar to bar price change within that same period. Every small rise, drop, spike, reversal, and retrace is included. These two distances are then compared: PER = (Net Distance / Total Distance) × 100 The result is a 0-100% reading where: HIGH values (above threshold) = Price moved efficiently in one direction = Trending LOW values (below threshold) = Price zigzagged without net progress = Ranging Understanding High PER vs Low PER The easiest way to see what PER measures is by observing how price travels between two points. The image below shows a clean directional movement compared to a choppy, back and forth one. On the left, the market moves steadily from point A to point B with only small interruptions. Most of the movement contributes directly toward the final destination. Because the total distance is close to the straight line distance, PER is high. This represents a trending environment where trend following tools typically perform well. On the right, the market still reaches point B, but the path is filled with reversals. Price spends more time oscillating than progressing. Total distance becomes much larger than net distance, which produces a low PER. This represents a ranging or mean-reversion environment, where fading extremes and playing inside the range tends to be more appropriate. In simple terms: High PER means price is moving with intention and direction. Low PER means price is moving inefficiently and indecisively. How to Use PER PER is not a signal generator by itself. It is a market regime classifier, and its strength lies in selecting the right strategy for the right environment. When PER is above the threshold (Trending Environment) Price is moving efficiently. Most bars contribute to the same directional bias. This is when trend following strategies excel. Examples include: Breakouts Pullback entries into trend direction Moving average crossovers In these situations, using mean-reversion is generally less effective. When PER is below the threshold (Ranging / Mean-Reversion Environment) Price is inefficient and oscillatory. The market wastes movement and fails to make directional progress. Examples include: RSI overbought/oversold reversals Bollinger Band bounces Liquidity sweeps and reversals Breakouts tend to fail more frequently in these conditions. Example: Below is a section of the S&P 500 on the daily timeframe showing both trending and ranging conditions, along with how PER responded to each. This chart shows how PER naturally separates trending phases from ranging phases using objective efficiency rather than subjective chart reading. It demonstrates exactly how the indicator identifies regime changes and helps you understand what kind of behavior the market is currently showing. Features & Settings Dynamic vs Fixed Threshold Threshold- Different markets and timeframes produce different typical PER values. Fixed Threshold: You choose the efficiency level manually. Useful if you trade the same instrument and know the PER levels that define a trend for it. Dynamic Threshold: The threshold is calculated from historical PER distribution. This adapts automatically to each timeframe and each asset, aligning the threshold with what is normal for that chart. It reduces manual tuning and produces more consistent regime classification. Smoothing Option Raw PER can fluctuate rapidly on lower timeframes. Smoothing helps reveal the underlying efficiency trend more clearly. Volume Weighted PER A volume weighted mode is also included. When enabled, price movement occurring during high volume bars has more influence, making PER more meaningful on assets where volume impacts trend quality. Information Box The information box provides quick context, including the current PER value, the current regime (trending or ranging), and whether the threshold mode is fixed or dynamic. It is designed to make interpretation instant without additional settings or visual clutter. Summary PER will not tell you when to buy or sell. PER doesn't predict the future or generate signals. It simply tells you what kind of market you're in right now. The value is in knowing when to apply trend strategies versus mean reversion strategies. A lot of traders already have good tools they just use them in the wrong conditions. PER helps you avoid that mistake. Use it as part of your overall analysis, not as a standalone system. This indicator is open source and free. If you find it useful, a like or comment helps others discover it. Risk Disclaimer: For educational purposes only. Trading involves risk. No indicator guarantees profits. Use proper risk management.
Индикатор Pine Script®
от SharpStrat
Gold Mining Margin MACROGold Mining Margin Macro Indicator — Description This indicator measures the structural profitability of gold mining by comparing the gold price with estimated production costs. It is designed as a macro-context tool, not a short-term trading signal. The script tracks three core components: Gold − AISC (All-In Sustaining Cost) → proxy for mining profitability Energy-adjusted mining margin → incorporates oil as a major production cost input Gold / Oil ratio → intermarket relationship between gold and energy costs Together, these metrics help visualize the economic pressure or expansion phase of the gold mining sector. What the indicator measures The indicator estimates whether gold is trading: near production-cost pressure levels in a neutral profitability zone in a strong mining-profit environment or in a boom phase A weekly regime classification is used to reduce noise and focus on macro-cycle conditions rather than short-term price fluctuations. Primary use case This indicator is intended to help identify: potential gold price floor zones mining-sector stress conditions cyclical turning points in gold confirmation context for cycle-based analysis It works best when combined with: cycle analysis intermarket analysis positioning data macroeconomic context Important note The AISC value is user-defined and represents an approximate global industry cost level, not the cost of a specific mining company. The indicator is meant to reflect sector-level economics, not individual equities.
Индикатор Pine Script®
от Time_Seven
0DTE Strategy0DTE Strategy - Quick Guide WHAT IT DOES: Automated indicator for 0DTE SPY options scalping. Shows exact trading windows, entry signals, and market conditions in real-time. SETUP: 1. Apply to SPY chart (use 30-second timeframe for entries) 2. Settings > " USI:TICK Settings" > change symbol if "USI:TICK" doesn't work (try: USI:TICK , TICK, or NYSE:TICK) 3. Adjust colors if needed for your chart background HOW TO USE: TRADING WINDOWS (Color-coded backgrounds): - 9:35-9:50 AM (GREEN) = Trade 1 - Morning Impulse - 10:00-10:20 AM (BLUE) = Trade 2 - Trend Confirmation - 11:00 AM-3:30 PM (RED) = DEATH ZONE - Stay Cash, No Trading - 3:45-4:00 PM (PURPLE) = MOC Window - Check imbalance data ENTRY SIGNALS: - BUY (green triangle) = Price > VWAP + 9EMA + USI:TICK > +600 during active window - SELL (red triangle) = Price < VWAP + 9EMA + USI:TICK < -600 during active window - Signals stay active until opposite signal appears (no spam) DASHBOARD (Top Right): - Gap = Shows if gapping up/down vs yesterday's close - Window = Current trading window status - USI:TICK = Live NYSE TICK value (green >600, red <-600) - 5-Min Trend = Higher timeframe trend direction - Signal State = Current active signal (BUY/SELL/NEUTRAL) KEY LEVELS (Horizontal lines at market open): - PMH (green) = Pre-market high - acts as resistance - PML (red) = Pre-market low - acts as support - PDC (gray) = Previous day close - gap reference STRATEGY: 1. Before 9:30: Watch gap direction and pre-market levels 2. 9:35-9:50: Wait for BUY/SELL signal in Trade 1 window 3. Entry: Take signal when all conditions align (VWAP + EMA + TICK) 4. Exit: Target +$50 or use 20% hard stop per document rules 5. 11:00-3:30: Stay cash (Death Zone) 6. 3:45-4:00: MOC window (check NYSE imbalance data separately) BEST PRACTICES: - Use on 30-second chart for precise entries - Check 5-minute chart to confirm trend alignment - Only trade during colored window backgrounds - Follow the 4-bullet risk management from original guide - Dashboard shows "HOLD CALLS" or "HOLD PUTS" when signal is active IMPORTANT: This is a signal tool, not a full trading system. You must still apply proper position sizing, risk management, and verify MOC imbalances externally.
Индикатор Pine Script®
от Kingsway139
MTF Moving Averages [ST]**MTF Moving Averages ** is a professional Multi-Timeframe (MTF) indicator designed to plot Daily and Weekly trend lines directly on intraday charts (e.g., 5m, 15m, 1H). This tool solves the common problem of losing "big picture" context while day trading. It allows you to see exactly where the Daily 20 EMA or Weekly 200 SMA sits without ever switching timeframes. ### 🛠 Key Features 1. **Stepline Accuracy (The "Step" Style):** * Unlike standard MTF indicators that smooth out lines (creating a repainting illusion), this tool uses a **Stepline** visualization by default. * **Why it matters:** It shows exactly what the Daily/Weekly value was *at that specific moment in time*. If the line is flat, the higher timeframe bar hasn't closed yet. This offers zero lag and true historical accuracy. 2. **Ultra-Clean Interface:** * **Status Line Hidden:** We have removed the cluttered list of values (often shown as "Ø Ø Ø") from the chart header. The title remains strictly `MTF MAs `. * **Data Window:** Exact values are fully accessible via the Data Window or by hovering over the lines. 3. **Dual Groups (D & W):** * **Daily Group:** EMA 9, EMA 20, SMA 50, SMA 200. * **Weekly Group:** EMA 9, EMA 20, SMA 50, SMA 200. * *Note:* By default, only the **Daily 9, 20, and 50** are enabled to keep the chart clean. The SMA 200 and Weekly lines can be enabled in the settings. ### 📚 How to Use * **Trend Filter:** Use the **Daily EMA 20 (Orange)** as your primary "Line in the Sand". If the intraday price is holding above the Daily 20, the macro trend is bullish. * **Major Reversals:** The **SMA 200 (Red)** on Daily/Weekly frames acts as major institutional support/resistance. These are high-probability areas for bounces or rejections. * **Confluence:** Watch for intraday setups (like flags or wedges) that form right on top of a Daily "Step". These setups have higher success rates due to higher timeframe alignment. ### ⚙️ Standardization * Part of the suite. * English-native codebase and settings. * Optimized using `barmerge.gaps_off` for seamless data connectivity. --- *Disclaimer: This tool is for educational purposes and technical analysis assistance only. Always manage your risk.*
Индикатор Pine Script®
от impressive_Storkj9gr3
Market TICK Bars [ST]**Market TICK Bars ** is a market breadth indicator designed to visualize the raw "Net Tick" value of the broader market. Unlike standard price charts, the TICK index measures the number of stocks on an uptick minus the number of stocks on a downtick at any given moment. This tool is essential for intraday traders looking to gauge true market sentiment and identify exhaustion points. ### 🛠 Key Features 1. **Net Value Histogram:** * Displays the TICK data as a clean histogram. * **Green Bars:** Positive Net Tick (Buying Pressure). * **Red Bars:** Negative Net Tick (Selling Pressure). 2. **Institutional Reference Levels:** * Includes pre-defined horizontal lines based on institutional trading standards (e.g., SMB Capital logic). * **Zero Line:** The baseline for sentiment. * **+/- 600 (Tension Zone):** Indicates the market is becoming stretched. Often acts as support/resistance in trending markets. * **+/- 1000 (Extreme Zone):** Indicates likely exhaustion or "Capitulation." High probability of a mean reversion or bounce. 3. **Standardization :** * Part of the suite with English-native codebase. * Optimized for performance using `request.security`. ### 📚 How to Use * **Trend Confirmation:** If the market (SPY/QQQ) makes a new high, but the TICK fails to make a new high (Divergence), the rally may be weak. * **Exhaustion Plays:** When TICK hits **+1000** or **-1000**, look for reversal setups on the main index, as the buying/selling pressure is likely unsustainable in the short term. * **Choppy Market:** If TICK stays between **-600** and **+600**, the market is likely in a range/chop. ### ⚙️ Settings * **Symbol:** Default is set to `USI:TICK`. Depending on your data feed, you may want to change this to `NYSE:TICK` or another specific exchange ticker. --- *Disclaimer: This tool is for educational purposes and technical analysis assistance only. Always manage your risk.*
Индикатор Pine Script®
от impressive_Storkj9gr3
TTM Squeeze [ST]**TTM Squeeze ** is a streamlined volatility indicator designed to identify periods of consolidation before potential price breakouts. This version focuses exclusively on the "Squeeze Dots" component, making it a lightweight and minimalist tool for traders who want to filter low-volatility environments without the clutter of a momentum histogram. ### 🛠 Key Concepts The indicator compares **Bollinger Bands** (Standard Deviation) with **Keltner Channels** (Average True Range): 1. **🔴 Red Dots (Squeeze ON):** * Occurs when Bollinger Bands contract *inside* the Keltner Channels. * **Meaning:** Volatility is extremely low. The market is "coiling" or building up energy. * **Action:** Prepare for a potential breakout. Do not trade the chop; wait for expansion. 2. **⚫ Dark Gray Dots (Squeeze OFF):** * Occurs when Bollinger Bands expand *outside* the Keltner Channels. * **Meaning:** The squeeze has "fired." Volatility is expanding. * **Action:** The move has likely started. ### ⚙️ Standardization * **Part of the Suite:** Standardized inputs and optimized performance. * **English Native:** Codebase and settings translated to English. * **Version Control:** Internal version tracking included. ### 📋 How to Use Use this tool as a "Go / No-Go" filter for your trades. * If the dot is **Red**, avoid entering new trend-following positions, as the price is likely chopping sideways. * Wait for the first **Gray** dot after a series of Red dots to signal the start of a new volatility expansion phase. --- *Disclaimer: This tool is for educational purposes and technical analysis assistance only. Always manage your risk.*
Индикатор Pine Script®
от impressive_Storkj9gr3
MA & BB Levels [ST]**MA & BB Levels ** is a comprehensive Multi-Timeframe (MTF) technical analysis tool designed to visualize key Weekly and Daily support and resistance levels on lower timeframe charts. This indicator helps traders identify significant dynamic levels that are often respected by institutional algorithms but are invisible on standard intraday charts. ### 🛠 Key Features 1. **Multi-Timeframe Overlays:** * Plots **Weekly** EMA 9, EMA 20, and Bollinger Bands (Upper/Lower). * Plots **Daily** EMA 9, EMA 20, and Bollinger Bands (Upper/Lower). * All levels are automatically calculated and synchronized, regardless of the chart's current timeframe. 2. **Smart Visuals:** * Uses extended lines to project levels forward, making it easy to anticipate price reactions. * Includes clear labels placed precisely on top of the lines (Label Lower Left style) to avoid obscuring the price action. * Customizable text sizes to fit different screen resolutions (4k/HD). 3. **Standardization :** * Part of the suite, ensuring optimized code performance and standardized inputs. * English-native codebase and settings. ### 📚 How to Use * **Trend Alignment:** Use the Weekly EMA 20 to gauge the macro trend direction while trading on intraday frames like 15m or 5m. * **Reversion Plays:** The Daily and Weekly Bollinger Bands often act as strong reversion points (Overbought/Oversold zones) when tested for the first time. * **Confluence:** Look for areas where a Daily EMA overlaps with a Weekly Bollinger Band level. These clusters often provide high-probability reaction zones. ### ⚙️ Settings * **Toggles:** You can individually turn on/off any Weekly or Daily level via the settings panel to keep your chart clean. * **Periods:** Standard defaults are EMA 9/20 and BB 20 (StdDev 2.0), but all periods are fully customizable. --- *Disclaimer: This tool is for educational purposes and technical analysis assistance only. Always manage your risk.*
Индикатор Pine Script®
от impressive_Storkj9gr3
TS vs Previous Candle + Volume Delta (Fran_Pineda)This script combines a **Turtle Soup (TS) reversal trigger** with an **approximated Volume Delta confirmation** to generate clean, close-confirmed trade alerts. ### What it does * **Detects Turtle Soup vs Previous Candle** * **Bullish TS (BUY trigger):** price sweeps below the previous candle’s low, then closes bullish back above that prior low. * **Bearish TS (SELL trigger):** price sweeps above the previous candle’s high, then closes bearish back below that prior high. * Signals are **confirmed only on candle close** (no intrabar repaint). * **Calculates Volume Delta (lower timeframe scan)** * The script estimates **net buying vs selling pressure** inside each current bar by scanning a **lower timeframe** and summing: * *Up-volume* when the lower-TF candle closes ≥ opens * *Down-volume* when it closes < opens * The delta is computed **per bar** (it resets every bar), so it reflects *what happened inside that candle*, not a drifting cumulative line. ### How signals are generated (AND logic) * **BUY** only when: * **Bullish TS** is confirmed **and** * **Volume Delta is bullish** (above 0 or above a user-defined threshold) * **SELL** only when: * **Bearish TS** is confirmed **and** * **Volume Delta is bearish** (below 0 or below a user-defined threshold) ### Inputs you can tune * **Allow close outside previous range:** switches between a stricter and a more flexible TS interpretation. * **Delta threshold:** filters signals by requiring stronger delta imbalance. * **Lower timeframe:** controls delta precision (lower TF = more precise, noisier; higher TF = smoother, less precise). * Optional: display the **Volume Delta candle plot** in a separate pane. **In short:** it looks for liquidity sweeps (TS) and only fires a signal when volume flow (delta) supports the direction—**fully confirmed at the bar close**.
Индикатор Pine Script®
от Fran_Pineda
Gold Breakout Trader⚙️ Gold short-term entries off M1 timeframe every 2 hours every day with SL/TP targets. 📦 2-Hour Breakout Structure: The indicator plots a new set of dynamic zones every two hours, providing a fresh breakout structure based on the most recent price action. This is the default setting and is designed for intraday trading. 🎯 Precision Entry & Exit Levels: A central gray box is plotted, with Buy Stop and Sell Stop lines automatically placed 2 USD away from its borders. This buffer creates a neutral zone and helps filter out noise. 💰 Pre-Defined Profit Targets: Three Take Profit TP zones are plotted for both long and short trades TP1, TP2, TP3. These zones are spaced apart, providing clear targets for managing trades. ⚙️ Fully Customizable Spacing: Every element is adjustable. You can change the buffer between the gray box and stop lines, the gap between the stop lines and the first TP zone, and the gaps between each subsequent TP zone. 🔔 M1 Breakout Alerts: The indicator includes a powerful alerts module that triggers when an M1 candle closes above the Buy Stop level or below the Sell Stop level. This provides real-time notifications for potential trade entries. 🎨 Clean Visuals & Clear Labels: The zones are color-coded teal for buy-side, red/purple for sell-side for instant recognition. The Buy Stop and Sell Stop labels are also colored to match their respective directions, ensuring zero confusion. ⚙️ Trading Strategy & Logic This strategy is designed for precision and requires patience. The core idea is to wait for the market to confirm a breakout of the established 2-hour range before entering a trade. 📌 Entry Logic 1. 🕒 Wait for a New Zone: Allow the indicator to plot a new 2-hour structure. Do not trade old or expired zones. 2. 🔔 Set Your Alerts: In TradingView, create a new alert and select the indicator. For the condition, choose "Any alert() function call" and set it to trigger "Once Per Bar Close". This will notify you the moment a candle closes across a stop level. 3. 👀 Wait for the M1 Close: For a Long Buy Trade, wait for an M1 candle to close above the Buy Stop line. For a Short Sell Trade, wait for an M1 candle to close below the Sell Stop line. 4. ✅ Enter on Confirmation: Once you receive the alert and visually confirm the M1 candle has closed past the level, you can enter the trade. 🛑 Stop Loss SL Placement The stop loss is designed to be tight and objective, providing a clear invalidation of the trade idea. ⬇️ For a Long Trade, the Stop Loss should be placed at the Sell Stop line the level on the opposite side of the gray box. ⬆️ For a Short Trade, the Stop Loss should be placed at the Buy Stop line. 🎯 Take Profit TP Strategy The indicator provides three clear targets. How you use them depends on your trade management style. 🥇 TP1: The first level of resistance/support. This is an ideal target for taking partial profits and moving your stop loss to breakeven. 🥈 TP2 & TP3: Subsequent targets for scaling out of the position or for your final profit target. ⚠️ IMPORTANT NOTICE This indicator and the accompanying strategy are provided for educational purposes only. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The logic described is based on a specific set of rules and does not guarantee profit. Always conduct your own analysis and risk management before entering any trade. The creators are not responsible for any financial losses incurred.
Индикатор Pine Script®
от ProjectSyndicate
14
Volumetric Supply and Demand Zones [BOSWaves]Volumetric Supply and Demand Zones - Impulse-Based Zone Detection with Embedded Volume Profile Analysis Overview Volumetric Supply and Demand Zones is an impulse-driven zone identification system that marks significant reversal areas through swing detection and volume accumulation patterns, where zone boundaries dynamically reflect actual trading activity concentration rather than arbitrary price levels. Instead of relying on traditional horizontal support/resistance lines or fixed pivot structures, zone placement, thickness, and volumetric composition are determined through ATR-normalized impulse detection, volume profile distribution analysis, and delta decomposition within base formation periods. This creates adaptive supply and demand boundaries that reflect actual volume accumulation patterns rather than simple price extremes - contracting zones around high-volume concentration areas when profile shows tight distribution, expanding zones during dispersed volume activity, and incorporating positive/negative delta breakdowns to reveal whether zones formed under buying or selling pressure dominance. Price interactions are therefore evaluated relative to volume-weighted zone structures and point-of-control levels rather than conventional naked price zones. Conceptual Framework Volumetric Supply and Demand Zones is founded on the principle that meaningful reversal zones emerge where significant volume accumulated during consolidation before impulse moves rather than at simple swing high/low pivot points. Traditional supply and demand methods identify zones using price structure alone through swing detection or candlestick patterns, which often ignores the underlying volume distribution and buying/selling pressure that validates institutional accumulation or distribution. This framework replaces price-only logic with volume-weighted zone construction informed by actual trading activity concentration and delta composition. Three core principles guide the design: Zone boundaries should encompass base formation periods preceding impulse moves, not isolated pivot candles alone. Volume profile distribution within zones must reveal where actual trading activity concentrated, identifying true points of control. Delta decomposition exposes whether zones formed under buying pressure (demand accumulation) or selling pressure (supply distribution). This shifts supply and demand analysis from naked price levels into volume-validated, delta-aware institutional footprint zones. Theoretical Foundation The indicator combines swing pivot detection, ATR-based impulse measurement, volume profile construction, and delta decomposition analysis. A pivot detection system identifies local swing highs and lows using configurable left/right bar parameters. Impulse validation measures the subsequent price move magnitude relative to ATR, confirming whether the swing preceded a significant directional thrust. Zone boundaries encompass a lookback period of candles forming the base, with maximum height capped by ATR multiplier to prevent excessively large zones. Volume profile divides each zone into horizontal rows, distributing volume proportionally based on price overlap and identifying the point of control (highest volume row). Delta profile separates volume into buying versus selling components using close-open relationships, revealing net directional pressure within each profile row. Five internal systems operate in tandem: Swing Detection Engine : Identifies pivot highs and lows using symmetrical left/right bar confirmation for potential zone anchor points. Impulse Validation System : Measures price movement magnitude following pivot formation, requiring ATR-multiple threshold breach to confirm zone significance. Volume Profile Constructor : Divides zone height into configurable rows, allocates volume proportionally based on bar price range overlap with each row, identifies POC as highest-volume row. Delta Decomposition Engine : Separates volume into buying (up-close bars) versus selling (down-close bars) components within each profile row, calculates net delta and dominant pressure direction. Zone Merge Logic : Detects overlapping zones of same type (supply/supply or demand/demand), combines boundaries and recalculates volume/delta statistics with weighted blending. This design allows supply and demand zones to reflect actual volume accumulation reality rather than reacting mechanically to price pivots alone. How It Works Volumetric Supply and Demand Zones evaluates price through a sequence of volume-aware zone construction processes: Pivot Identification : Swing detection algorithm identifies local highs and lows using configurable left/right bar symmetry, marking potential reversal zone anchors. Impulse Magnitude Validation : Following pivot formation, price movement measured relative to ATR over lookback period - move must exceed ATR multiplier threshold to confirm zone validity. Base Period Boundary Definition : Zone encompasses pivot bar plus configurable lookback candles forming the consolidation base preceding impulse move. Height Normalization : Raw zone height (high to low of base period) capped at maximum ATR multiplier to prevent zones becoming unreasonably large during extended consolidations. Volume Profile Row Allocation : Zone divided into configurable number of horizontal rows, each bar's volume distributed proportionally based on price range overlap with row boundaries. Point of Control Identification : Row with highest accumulated volume marked as POC, representing price level with maximum trading activity concentration within zone. Delta Component Separation : Each bar's volume classified as buying (close > open) or selling (close < open), allocated to respective delta buckets within overlapping profile rows. Delta Profile Construction : Net delta (buy volume minus sell volume) calculated per row, rendered as horizontal bars extending from zone right edge inward with green (positive) or red (negative) coloring. Overlap Detection and Merging : New zones checked against existing zones of same type, overlapping zones within merge gap threshold combined with boundary expansion and volume/delta statistics aggregation. Mitigation Detection : Price interaction monitoring using configurable method (wick or close) determines when zones violated, triggering zone deletion and cleanup of all visual elements. Together, these elements form a continuously updating supply and demand framework anchored in volume accumulation reality and delta pressure composition. Interpretation Volumetric Supply and Demand Zones should be interpreted as volume-validated institutional footprint zones: Demand Zones (Green) : Form at swing lows preceding upward impulse moves exceeding ATR threshold - represent areas where buyers accumulated positions before markup phase, volume profile shows where bids concentrated. Supply Zones (Red) : Establish at swing highs preceding downward impulse moves exceeding ATR threshold - identify areas where sellers distributed positions before markdown phase, volume profile shows where offers concentrated. Volume Profile Bars : Horizontal bars extending from zone left edge show relative volume distribution across price levels - longer bars indicate higher trading activity, revealing true institutional accumulation/distribution levels versus arbitrary zone edges. Point of Control Line (White) : Horizontal line within zone marks price level with maximum volume concentration - represents the most significant institutional activity level, often acts as magnetic price level during retests. Delta Profile Bars : Horizontal bars extending from zone right edge inward display net buying/selling pressure per price level - green bars show buy volume dominance (accumulation), red bars show sell volume dominance (distribution). Zone Info Box : Text panel on right edge displays zone type (SUPPLY/DEMAND), status (Fresh/Tested), total volume, net delta, and touch count - provides quantitative validation of zone significance. Fresh Status : Newly created zones not yet tested by price - highest probability reversal zones as institutional orders likely remain unfilled. Tested Status : Zones where price returned and interacted with boundaries - touch count reveals how many times zone provided support/resistance, excessive touches suggest weakening. Merged Zones : Wider zones with higher volume/delta values formed by combining multiple overlapping base periods - represent extended institutional accumulation/distribution areas with greater significance. POC Brightness : Brightest (white) volume profile bar marks point of control - visual emphasis highlights the most critical price level within zone structure. Volume distribution shape, POC placement, delta composition, and touch count outweigh simple zone boundary reactions. Signal Logic & Visual Cues Volumetric Supply and Demand Zones presents zone interaction insights rather than discrete directional signals: Fresh Zone Formation : New supply or demand zone created when swing pivot followed by ATR-threshold impulse - suggests institutional footprint left behind, high-probability reversal area established. First Retest (Fresh → Tested) : Price returning to previously untouched zone triggers status change and touch increment - historically highest-probability reaction level as unfilled orders likely remain. POC Magnetic Behavior : Price gravitating toward white POC line during zone interaction - suggests institutional activity concentration level acting as support/resistance within broader zone. Volume Profile Asymmetry : Profile showing volume concentrated at zone edge versus center reveals base formation character - edge concentration suggests quick accumulation before impulse, center concentration indicates prolonged consolidation. Delta Divergence Patterns : Demand zones showing negative delta profile (red bars dominant) or supply zones showing positive delta (green bars) reveal weak zone formation - pressure composition conflicted with expected direction. Delta Confirmation Patterns : Demand zones with strong positive delta (green bars) or supply zones with strong negative delta (red bars) validate institutional conviction - pressure aligned with expected reversal direction. Excessive Touch Degradation : Touch count exceeding 3-4 interactions suggests zone weakening - repeated tests consume institutional orders, reducing reversal probability. Mitigation Events : Price closing beyond zone boundaries (or wicking through, based on settings) triggers zone deletion - invalidation confirms institutional levels failed, trend continuation likely. The primary value lies in volume-validated zone structure and delta composition analysis rather than simple boundary touches. Strategy Integration Volumetric Supply and Demand Zones fits within institutional footprint and order flow-aware trading approaches: Fresh Zone Reversal Entries : Enter counter-trend positions at first retest of fresh zones with strong delta confirmation - unfilled institutional orders provide high-probability reaction levels. POC-Precise Limit Orders : Place entries at POC line rather than zone edges - point of control represents maximum volume concentration, offering tighter stop placement and better risk/reward. Delta-Filtered Zone Selection : Prioritize demand zones showing positive net delta and supply zones showing negative net delta-aligned pressure composition validates institutional conviction. Volume Profile Distribution Analysis : Favor zones with tight volume concentration (profile bars clustered) over dispersed distribution - concentrated profiles suggest decisive institutional accumulation/distribution. Merge-Enhanced Conviction : Treat merged zones with higher volume/delta totals as stronger reversal candidates - combined statistics represent extended institutional activity periods. Touch Count Degradation Filtering : Reduce position sizing or avoid zones with 3+ touches - excessive interaction depletes institutional orders, weakening reversal probability. Trend Continuation via Mitigation : Enter breakout positions when price closes beyond supply zones (uptrend) or demand zones (downtrend) - mitigation confirms trend strength overwhelming institutional levels. Multi-Timeframe Zone Confluence : Apply higher-timeframe zones for macro structure, use lower-timeframe volume profile to identify precise entry levels within larger zones. Technical Implementation Details Core Engine : Pivot detection with symmetrical left/right confirmation, ATR-normalized impulse validation Zone Construction : Base period lookback with ATR-capped height normalization and time-based extension Volume Profile System : Proportional volume allocation across configurable rows with overlap percentage calculation Delta Engine : Close-open relationship classification separating buy/sell volume with net delta calculation per row POC Identification : Maximum volume row detection with visual emphasis rendering Merge Logic : Overlap detection with gap threshold, boundary expansion, and weighted statistic aggregation Visualization : Multi-element rendering (zone boxes, profile bars, delta bars, POC lines, info panels) with proportional sizing Performance Profile : Custom type system for zone/profile/delta management, efficient array-based storage with configurable zone limits Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure supply/demand for scalping with tight ATR multipliers and reduced lookback 15 - 60 min : Intraday institutional footprint zones with balanced profile row count and merge sensitivity 4H - Daily : Swing-level accumulation/distribution areas with extended lookback periods and wider merge gaps Weekly - Monthly : Macro institutional zones with maximum profile detail and extended zone persistence Suggested Baseline Configuration: Swing Length : 8 Impulse Size (ATR) : 1.2 Base Lookback Candles : 3 ATR Length : 14 Maximum Zone Height (ATR) : 4.0 Maximum Zones : 10 Extend Zones (bars) : 60 Merge Overlapping Zones : Enabled Merge Gap (ATR) : 0.3 Mitigation Type : Wick Profile Rows : 10 Profile Width (%) : 0.5 Show POC Line : Enabled Show Delta Profile : Enabled Delta Profile Width (%) : 0.35 Show Zone Info Box : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, volume characteristics, and preferred zone sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many zones cluttering chart : Increase Swing Length (10 - 12) to demand stronger pivots, or increase Impulse Size multiplier (1.5 - 2.0) to require larger moves for zone validation. Missing significant reversal levels : Decrease Swing Length (5-6) for earlier pivot detection, or reduce Impulse Size (0.8 - 1.0) to capture smaller but valid base formations. Zones too large/tall : Reduce Maximum Zone Height ATR multiplier (2.5 - 3.0) to cap vertical size, or decrease Base Lookback Candles (1 - 2) for tighter base periods. Zones too small to be useful : Increase Base Lookback Candles (4 - 6) to encompass longer consolidation periods, or raise Maximum Zone Height (5.0 - 7.0) for taller zones. Profile bars too granular : Decrease Profile Rows (6 - 8) for coarser distribution showing major volume clusters only. Profile lacking detail : Increase Profile Rows (15 - 20) for finer resolution revealing subtle volume distribution nuances. Zones merging too aggressively : Decrease Merge Gap ATR multiplier (0.1 - 0.2) to require tighter overlap for merge qualification, or disable merging entirely. Related zones not combining : Increase Merge Gap (0.5 - 0.8) to allow merging of zones with larger separation distances. Zones invalidating prematurely : Switch Mitigation Type from "Wick" to "Close" to require closing violation rather than intrabar penetration. Zones persisting too long after breach : Switch Mitigation Type from "Close" to "Wick" for faster invalidation on initial penetration. Profile bars invisible : Increase Profile Width percentage (0.6 - 0.8) for longer bars, improving visibility on cluttered charts. Delta profile obscuring volume profile : Reduce Delta Profile Width (0.2 - 0.3) to prevent overlap, or disable delta display temporarily. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Range-bound and mean-reverting markets where institutional zones provide reliable turning points Instruments with consistent volume characteristics where profile distribution reveals true accumulation/distribution Swing trading approaches targeting zone-to-zone reactions with defined risk parameters Reversal strategies seeking volume-validated entry levels rather than blind counter-trend positions Markets where delta proxy correlates well with actual order flow (trending volume instruments) Position trading benefiting from macro supply/demand structure with embedded volume context Reduced Effectiveness: Extremely low volume environments where profile distribution becomes unreliable and sparse News-driven or gapped markets where zones form/invalidate without normal volume accumulation patterns Highly trending markets where zones consistently mitigate without providing reversal opportunities Instruments with erratic volume patterns making delta decomposition and profile interpretation misleading Very high-frequency timeframes (seconds) where base formation periods too short for meaningful volume accumulation Integration Guidelines Confluence : Combine with BOSWaves structure, market profile, or traditional technical analysis for zone validation within broader context Volume Profile Respect : Trust POC levels and high-volume profile bars over arbitrary zone edges for entry/exit precision Delta Confirmation Priority : Favor zones where delta composition aligns with expected direction - positive delta in demand, negative delta in supply Fresh Zone Preference : Prioritize first retests of untouched zones over repeatedly tested areas with high touch counts Merge Recognition : Treat merged zones with elevated volume/delta statistics as higher-conviction institutional footprint areas Touch Count Filtering : Reduce position sizing or avoid zones after 3+ touches as institutional order depletion reduces effectiveness Mitigation Discipline : Exit zone-based positions decisively when price closes beyond boundaries, respecting invalidation signals Multi-Timeframe Structure : Apply higher-timeframe zones for swing structure, use lower-timeframe profiles for tactical entry refinement Disclaimer Volumetric Supply and Demand Zones is a professional-grade supply/demand zone and volume profile analysis tool. It uses volume-based delta proxy to estimate directional pressure but does not access true order book data or institutional trade information. Results depend on market conditions, volume reliability, ATR characteristics, parameter selection, and disciplined execution. Volume profile and delta calculations represent approximations based on close-open relationships and price overlap formulas, not actual bid/ask transactions. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, order flow context, and comprehensive risk management.
Индикатор Pine Script®
от BOSWaves
7
Aggregated Open interest + Volume DeltaAggregated Open Interest from Binance + Bybit with adaptive threshold detection, delta-based positioning classification, and noise-killing bar coloring. Most OI indicators show you raw data. This one filters out the noise and highlights only what matters — significant OI events that move the market. How It Works The indicator aggregates Open Interest OHLC data from 4 sources: - Binance USDT & USD perpetuals - Bybit USDT & USD perpetuals It then applies an adaptive SMA-based threshold to detect statistically significant OI changes. Only bars that exceed the threshold get colored — everything else is dimmed to dark grey. This is the signature feature: at a glance, you see only the bars that matter. The Core Logic: Delta + OI Positioning Most OI indicators classify bars using candle color (bullish/bearish close). This is wrong. A candle can close bearish after a liquidity sweep above a high — but the actual volume delta is positive (shorts buying to cover their stops). Candle color lies. Delta tells the truth. The key insight: OI increasing = new fuel (positions that can be squeezed). OI decreasing = exits (no new fuel, just unwinding). Features Display Modes - OI Candles — OHLC candlestick chart of total aggregated OI - OI Delta — Bar chart showing per-bar OI change (close - open, intra-bar) Threshold-Based Bar Coloring - Normal candles dimmed to dark grey — cuts through noise instantly - 4-color fuel mode: bright green (Agg Longs), bright red (Agg Shorts), muted red (Rekt Longs), muted green (Rekt Shorts) - Simple 2-color mode also available (green = OI up, red = OI down) - All colors fully configurable Order Flow Detection - Smart labels on each significant bar (AGG LONGS, AGG SHORTS, REKT LONGS, REKT SHORTS) - Liquidation cascade detection — highlights when 2+ consecutive bars show large OI decrease (margin cascade) - Absorption detection — large OI increase with a small candle body signals institutional accumulation Screener Table - Bottom-right table showing dollar values over a configurable lookback (default 200 bars): - Rekt Longs / Rekt Shorts - Aggressive Longs / Aggressive Shorts - Total aggregated OI 8 Alert Conditions - Large OI Increase / Decrease - Rekt Longs / Rekt Shorts - Aggressive Longs / Aggressive Shorts - Liquidation Cascade - Absorption Settings - Threshold Multiplier (default 5.0) — higher = fewer events, lower = more sensitive - SMA Lookback (default 300) — adaptive threshold window - Data Sources — toggle each exchange on/off independently - Dim Normal Bars — the signature grey-out effect (on by default) - 4-Color Fuel Mode — positioning-aware coloring (on by default) - OI EMA — optional moving average overlay on OI candles Why Delta + OI > Candle Color + OI Example: Price sweeps above a swing high (SFP), then reverses and closes bearish. Standard indicators see "bearish candle + OI decrease" and label it "Rekt Longs." But the volume delta on that bar is positive — shorts were buying to cover their stops above the high. The correct label is Rekt Shorts. This indicator gets it right because it uses delta, not candle color. Usage Tips - Works on any crypto perpetual chart — dynamically builds symbols from syminfo.basecurrency - Best on 5m, 15m, 1H, 4H timeframes - Start with default settings (multiplier 5, lookback 300) then adjust to your timeframe - Lower multiplier = more signals, higher = only the biggest events - Combine with supply/demand zones for confluence — significant OI events at key levels are the highest-probability setups Created by: AghaInvst
Индикатор Pine Script®
от AghaInvst
EMA System **EMA System V6 (9/21/50/200) — Context, Pullback & Volume** This indicator turns the classic 9/21/50/200 EMA stack into a simple, rule-based “trend + pullback” framework. It’s designed to help you trade with **context**, not chase candles. ### Core idea Price doesn’t “respect” indicators — but moving averages can act like a **map of participation** over time. Different EMAs represent different horizons, and when they align, trends tend to behave cleaner. ### What it plots * **EMA 9** (short-term momentum) * **EMA 21** (pullback / re-entry zone) * **EMA 50** (trend structure) * **EMA 200** (macro filter / regime) ### Trend filter (high-probability context) The script highlights a “trend-friendly” environment when: * **Price is above EMA 200** → *Long bias / long-only mode* * **EMA 21 is above EMA 50** → *Trend is considered valid* * **Price is not below EMA 50** → *Avoid buying in weak structure* ### Pullback & Volume conditions It then looks for trend continuation opportunities by checking: * **Price pulls back near EMA 21** (proximity is configurable by **ATR distance** or **% distance**) * **Volume dries up during the pullback** (volume must be below its SMA by a configurable factor) ### Signals * **SET** = All filters are aligned and the pullback conditions are met (setup is ready) * **BUY** = A bullish candle confirms the setup near EMA 21 (bullish candle definition is configurable) ### Built-in status panel A small panel shows the current state: * Long-only ON/OFF (EMA200) * Trend valid / not valid (21 vs 50) * Pullback near/far (EMA21 proximity) * Volume dries up / not * Buys OK / No buys (relative to EMA50) ### Notes * This is an **indicator**, not a complete trading strategy. * Signals are meant to be used with proper risk management and market structure. * Works on any asset (crypto, forex, stocks) — best results typically appear in **clean trending markets**. --- If you want, I can also add a short “one-liner” summary for the first line of the description (more marketing style), or a more technical version for serious quants.
Индикатор Pine Script®
от Fran_Pineda
TS Pressure OscillatorThis indicator is a TS Pressure Oscillator. Its job is to turn a lot of small “TS events” (liquidity sweeps + rejection) into a single, easy-to-read curve that helps you spot short-term exhaustion and possible trend shifts. What it detects (TS events) A “TS” here means a candle that: briefly breaks the previous candle’s high and then closes back below it (bearish rejection), or briefly breaks the previous candle’s low and then closes back above it (bullish rejection). In simple words: price tried to continue, failed, and got rejected. What the oscillator measures Instead of counting every TS equally, this version gives each event a score based on its quality: Wick size vs ATR (how meaningful the sweep was) Body size vs ATR (how strong the rejection candle was) Then it filters events by context: bearish TS only matter most near the top of a recent range bullish TS only matter most near the bottom of a recent range After that, it combines multiple timeframes (M15 / M5 / M1) into one curve: If bearish TS pressure dominates, the oscillator tends to move up (more rejection from above). If bullish TS pressure dominates, the oscillator tends to move down (more rejection from below). Why there are two lines (Main vs EMA) Main line shows the current pressure. EMA line is the smoothed version (the “trend” of the pressure). The gap between them is useful: when the Main line pulls away from the EMA, it often means pressure is accelerating. The most important part: parameters This indicator is only as good as its tuning. The key settings control what it considers “relevant” TS events: Zone lookback (HH/LL): defines what “top” and “bottom” mean Zone thresholds (zoneHi / zoneLo): how strict the “extreme area” filter is Window lengths per timeframe: how much history you’re measuring ATR length + caps: how sensitive the scoring is Baseline: prevents the oscillator from sticking at extremes If your parameters are too loose, you’ll get noise. If they’re too strict, you’ll miss opportunities. Dialing them in for each asset/session is the difference between a “nice curve” and a useful signal. If you want, tell me the asset (e.g., XAUUSD) and your main chart timeframe, and I’ll suggest a solid starting preset for the parameters.
Индикатор Pine Script®
от Fran_Pineda
Trend vs Balance + Alerts This indicator is built to answer one key question before you trade: Is the market trending or balancing (ranging)? And it doesn’t just label it — it also gives you a confidence score (0–100%). It works with two timeframes: Daily (D): the “base” timeframe — it drives the decision. H4 (240): the “adjustment” timeframe — it reinforces or weakens what Daily says. That’s why the final output is COMBO: COMBO always follows the Daily regime (Bull Trend, Bear Trend, or Balance). H4 does NOT change the regime, it only adjusts the confidence % depending on whether it agrees or conflicts. The % is calculated using a checklist-style scoring system (5 points per regime). Each regime has 5 measurable conditions, each worth 20 points: 3 out of 5 → 60% 5 out of 5 → 100% What does the checklist measure (pure candle behavior): Structure: whether price forms a clear staircase (HH/HL for bull trend or LL/LH for bear trend). Closes: whether candles close near the extremes (trend) or near the middle (balance). Overlap: whether price is “choppy” with lots of overlap (balance) or cleanly displaced (trend). Impulse vs pullback: whether one side clearly dominates (trend) or moves are more symmetric (balance). Breaks: whether price breaks and stays outside (acceptance = trend) or breaks and quickly re-enters (balance). How to read it quickly: COMBO = your main playbook (trend strategy or range strategy). COMBO % = your confidence level (how clear the context is). If you see a ⚠️, it means strong conflict between Daily and H4 — a “be careful” day. In short: Daily tells you the market “weather”, and H4 tells you whether today the wind is helping or fighting you. hace 3 días Notas de prensa This updated version adds a practical “decision + alert” layer on top of the original regime detector. The indicator classifies market conditions into **three regimes**: **Bull Trend**, **Bear Trend**, or **Balance (Range)** — and assigns a **confidence score (0–100%)**. It works with **two timeframes**: * **Daily (D)** is the *anchor* and always defines the final regime. * **H4 (240)** is an *adjustment layer* that can **increase or decrease the Daily confidence**, but it **does not override** the Daily regime. The confidence score is built from a checklist-style model (5 points per regime): 1. **Structure** (higher highs/lows or lower highs/lows) 2. **Close location** (closes near extremes vs near the middle) 3. **Overlap** (chop/rotation vs clean displacement) 4. **Impulse vs pullback** (dominant side vs symmetric movement) 5. **Break behavior** (acceptance vs failed break / re-entry) **COMBO** is the final output: * **COMBO regime = Daily regime** * **COMBO % = Daily % adjusted by H4 agreement/conflict** (think “70/30 logic”, fully configurable) ### New: Alerts by confidence % You can now set alerts that trigger when COMBO reaches a confidence level you choose: * **COMBO % alert** (any regime) * **TREND % alert** (trend only, **direction-agnostic** — bull or bear both count) To reduce “MTF alert noise”, the script includes an option to fire alerts **only when both Daily and H4 bars are confirmed/closed**, making alerts more reliable and avoiding mid-bar flips. In short: **Daily tells you the market weather, H4 adjusts the confidence, and alerts notify you when the regime becomes strong enough to trade.**
Индикатор Pine Script®
от Fran_Pineda
Multi Basis Bollinger Bands ProMulti Basis Bollinger Bands Pro is a volatility and trend-focused indicator using multiple Bollinger Bands with customizable moving average types (SMA, EMA, WMA) and sources. Trend bias is determined by the SMA 20 on higher timeframes (H1, H4, Daily). High-source bands (BB1 & BB2) are used for BUY signals when price touches their lower gap. Low-source bands (BB3 & BB4) are used for SELL signals when price touches their upper gap. Both upper and lower band gaps are highlighted with configurable green/red fills for clear visual zones. Includes a standard Bollinger Band reference for context. This strategy helps traders align entries with higher timeframe trends, filter trades, and visually spot volatility extremes and breakout zones.
Индикатор Pine Script®
от Williamhwl
1