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ค้นหาในสคริปต์สำหรับ "high low"

Volume Profile [Makit0]VOLUME PROFILE INDICATOR v0.5 beta Volume Profile is suitable for day and swing trading on stock and futures markets, is a volume based indicator that gives you 6 key values for each session: POC, VAH, VAL, profile HIGH, LOW and MID levels. This project was born on the idea of plotting the RTH sessions Value Areas for /ES in an automated way, but you can select between 3 different sessions: RTH, GLOBEX and FULL sessions. Some basic concepts: - Volume Profile calculates the total volume for the session at each price level and give us market generated information about what price and range of prices are the most traded (where the value is) - Value Area (VA): range of prices where 70% of the session volume is traded - Value Area High (VAH): highest price within VA - Value Area Low (VAL): lowest price within VA - Point of Control (POC): the most traded price of the session (with the most volume) - Session HIGH, LOW and MID levels are also important There are a huge amount of things to know of Market Profile and Auction Theory like types of days, types of openings, relationships between value areas and openings... for those interested Jim Dalton's work is the way to come I'm in my 2nd trading year and my goal for this year is learning to daytrade the futures markets thru the lens of Market Profile For info on Volume Profile: TV Volume Profile wiki page at www.tradingview.com For info on Market Profile and Market Auction Theory: Jim Dalton's book Mind over markets (this is a MUST) BE AWARE: this indicator is based on the current chart's time interval and it only plots on 1, 2, 3, 5, 10, 15 and 30 minutes charts. This is the correlation table TV uses in the Volume Profile Session Volume indicator (from the wiki above) Chart Indicator 1 - 5 1 6 - 15 5 16 - 30 10 31 - 60 15 61 - 120 30 121 - 1D 60 This indicator doesn't follow that correlation, it doesn't get the volume data from a lower timeframe, it gets the data from the current chart resolution. FEATURES - 6 key values for each session: POC (solid yellow), VAH (solid red), VAL (solid green), profile HIGH (dashed silver), LOW (dashed silver) and MID (dotted silver) levels - 3 sessions to choose for: RTH, GLOBEX and FULL - select the numbers of sessions to plot by adding 12 hours periods back in time - show/hide POC - show/hide VAH & VAL - show/hide session HIGH, LOW & MID levels - highlight the periods of time out of the session (silver) - extend the plotted lines all the way to the right, be careful this can turn the chart unreadable if there are a lot of sessions and lines plotted SETTINGS - Session: select between RTH (8:30 to 15:15 CT), GLOBEX (17:00 to 8:30 CT) and FULL (17:00 to 15:15 CT) sessions. RTH by default - Last 12 hour periods to show: select the deph of the study by adding periods, for example, 60 periods are 30 natural days and around 22 trading days. 1 period by default - Show POC (Point of Control): show/hide POC line. true by default - Show VA (Value Area High & Low): show/hide VAH & VAL lines. true by default - Show Range (Session High, Low & Mid): show/hide session HIGH, LOW & MID lines. true by default - Highlight out of session: show/hide a silver shadow over the non session periods. true by default - Extension: Extend all the plotted lines to the right. false by default HOW TO SETUP BE AWARE THIS INDICATOR PLOTS ONLY IN THE FOLLOWING CHART RESOLUTIONS: 1, 2, 3, 5, 10, 15 AND 30 MINUTES CHARTS. YOU MUST SELECT ONE OF THIS RESOLUTIONS TO THE INDICATOR BE ABLE TO PLOT - By default this indicator plots all the levels for the last RTH session within the last 12 hours, if there is no plot try to adjust the 12 hours periods until the seesion and the periods match - For Globex/Full sessions just select what you want from the dropdown menu and adjust the periods to plot the values - Show or hide the levels you want with the 3 groups: POC line, VA lines and Session Range lines - The highlight and extension options are for a better visibility of the levels as POC or VAH/VAL THANKS TO @watsonexchange for all the help, ideas and insights on this and the last two indicators (Market Delta & Market Internals) I'm working on my way to a 'clean chart' but for me it's not an easy path @PineCoders for all the amazing stuff they do and all the help and tools they provide, in special the Script-Stopwatch at that was key in lowering this indicator's execution time All the TV and Pine community, open source and shared knowledge are indeed the best way to help each other IF YOU REALLY LIKE THIS WORK, please send me a comment or a private message and TELL ME WHAT you trade, HOW you trade it and your FAVOURITE SETUP for pulling out money from the market in a consistent basis, I'm learning to trade (this is my 2nd year) and I need all the help I can get GOOD LUCK AND HAPPY TRADING
อินดิเคเตอร์ Pine Script®
โดย makit0
64
Lucid SARI wrote this script after having listened to Hyperwave with Sawcruhteez and Tyler Jenks of Lucid Investments Strategies LLC on July 3, 2019. They felt that the existing built-in Parabolic SAR indicator was not doing its calculations properly, and they hoped that someone might help them correct this. So I tried my hand at it, learning Pine Script as I went. I worked on it through the early morning hours and finished it by 4 am on July 4, 2019. I've added a few bits of code since, adding the rule regarding the SAR not advancing beyond the high (low) of the prior two candles during an uptrend (downtrend), but the core script is as it was. This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com For more details on the initial script, see Sawcruhteez from Lucid Investment Strategies wrote the following description of the Parabolic SAR, where the quotes are from Section II of J. Welles Wilder, Jr.'s book New Concepts in Technical Trading Systems (1978) -------------------------------------------------------------------------------------------------------------------------- Parabolic SAR "The Parabolic Time / Price System derives its name from the fact that when charted, the pattern formed by the stops resembles a parabola, or if you will, a French Curve. The system allows room for the market to react for the first few days after a trade is initiated and then the stop begins to move up more rapidly. The stop is not only a function of price but also a function of time . "The stop never backs up. It moves an incremental amount each day, only in the direction which the trade has been initiated." "The stop is also a function of price because the distance the stop moves up is relative to the favorable distance the price has moved... specifically, the most favorable price reached since the trade was initiated." A. The calculation for a bullish Parabolic SAR is: Tomorrow’s SAR = Today’s SAR + AF(EP - Today’s SAR) "Acceleration Factor (AF) is one of a progression of numbers beginning at 0.02 and ending at 0.20. The AF is increased by 0.02 each period that a new high is made" (if long) or new low is made (if short). EP is the "Extreme Price Point for the trade made so far. If Long , EP is the extreme high price for the trade; if Short , EP is the extreme low price for the trade.” Most websites will provide the above calculation for the Parabolic SAR but almost all of them leave out this crucial detail: B. "Never move the SAR into the previous day’s range or today’s range "1. If Long , never move the SAR for tomorrow above the previous day’s low or today’s low . If the SAR is calculated to be above the previous day’s low or today’s low, then use the lower low between today and the previous day as the new SAR. Make the next days calculations based upon this SAR. "2. If Short , never move the SAR for tomorrow below the previous day’s high or today’s high . If the SAR is calculated to be below the previous days’ high or today’s high, then use the higher high between today and the previous day as the new SAR. Make the next days calculations based upon this SAR." When a Bullish SAR is broken then it gets placed at the SIP (significant point) of the prior trend. In otherwords it is placed above the current candle and at the price that was the SIP. The inverse is true for the first Bullish SAR. "This system is a true reversal system; that is, every stop point is also a reverse point." If breaking through a bearish SAR (one above price) that simultaneously signals to close a short and go long.
อินดิเคเตอร์ Pine Script®
โดย casey_bowman
92
Ease of Movement WatcherHere’s a handy Ease of Movement(EMV) Indicator. I tried to include detailed comments so that anyone that’s learning pine can follow along. The Ease of Movement Indicator is a volume based oscillator that is designed to measure the ease (or movability) of price movement for a security. The EMV is a centered oscillator, meaning that values can fluctuate above and below zero. To understand how to use and interpret the EMV Indicator, its crucial to first understand its two main calculations : Distance Moved = ((high + low) / 2) - ((high + low ) / 2) -This is the difference between the current period’s midpoint and the previous period’s midpoint. Box Ratio = (volume / 100,000) / (high - low) -When calculating the Box Ratio, it is common to divide the volume by 100,000 for a clearer visualization of the data. However, users can choose to modify this value with the ‘volumeDiv’ input. The Ease of Movement Value is then pretty simple to calculate: EMV = (Distance Moved / Box Ratio) The indicator then plots a SMA of the previous 24 EMV Values. Looking at the formula, we know that combining low volume with a large {high, low} range will result in a relatively small box ratio value. Thus, we know that the EMV value for that period will be higher since EMV is found by dividing the Distance Moved by the Box Ratio. Here’s a simple guide to interpreting the EMV: - If (EMV > 0) then price is increasing with relative ease. -If (EMV < 0) then price is decreasing with relative ease. - If high-low range is large and volume is low then ease of movement is high. -If high-low range is small and volume is high then ease of movement is low. The Chart: -The histogram represents the Simple Moving Average of EMV Values. The default length is 24, but users can adjust this value at the inputs menu(I've found 24 works best). -The teal and pink dotted lines represent the standard deviation of the SMA of EMV values multiplied by 2.5. -The histogram turns dark green when the EMV SMA is greater than the top teal dotted standard deviations line. -The histogram turns maroon when the EMV SMA falls below the bottom pink standard deviation line. How To Use: Enter a long position when the most recent EMV SMA value was below the lower pink stand. dev. line and the current EMV SMA value rises above that same pink line. That means the previous bar was maroon and the current bar is not. If the user enables the option to show entry points, a green dot will be plotted when it is time to enter a long position. Exit the long position when the most recent EMV SMA value was above the upper green standard deviation line and the current EMV SMA value falls below that same line. If this is true, then the previous bar will be dark green, and the current will be light green. If the ‘showExits’ option is enabled, then a red dot will be plotted when it is time to exit the long position. Input Options: - 'volumeDiv' : Integer. Used in the calculation of Box Ratio. - 'lenSMA' : Integer. The length of the Simple Moving Average of Ease of Movement Values. - 'showStDev' : Bool. If true, dotted green and red lines will be shown at values equal to 2.5 * standard deviation of emvSMA and -2.5 * standard deviation of emvSMA. - 'showEntries' and 'showExits' : Bool. If true, a green circle will be plotted at long entry points and a red circle will be plotted at long exit points. - 'changeBgColor': Bool. If true, the background color will change to green when it is time to enter a long position and red when it is time to exit. Alerts: - When it is time to enter a long position, an alert with the message "EMV Tracker - Enter Long" is sent. - When it is time to exit a long position, an alert with the message "EMV Tracker - Exit Long" is sent. NOTE: - I usually use this indicator to confirm signals from other indicators rather than relying on it solely. - Most accurate signals are generated on 30 minutes with the default input values I've set in the script. Shoot me a message if you have any ideas for modifications or questions. ~ Happy Trading ~
อินดิเคเตอร์ Pine Script®
โดย ProfitProgrammers
2
LibPvotLibrary "LibPvot" This is a library for advanced technical analysis, specializing in two core areas: the detection of price-oscillator divergences and the analysis of market structure. It provides a back-end engine for signal detection and a toolkit for indicator plotting. Key Features: 1. **Complete Divergence Suite (Class A, B, C):** The engine detects all three major types of divergences, providing a full spectrum of analytical signals: - **Regular (A):** For potential trend reversals. - **Hidden (B):** For potential trend continuations. - **Exaggerated (C):** For identifying weakness at double tops/bottoms. 2. **Advanced Signal Filtering:** The detection logic uses a percentage-based price tolerance (`prcTol`). This feature enables the practical detection of Exaggerated divergences (which rarely occur at the exact same price) and creates a "dead zone" to filter insignificant noise from triggering Regular divergences. 3. **Pivot Synchronization:** A bar tolerance (`barTol`) is used to reliably match price and oscillator pivots that do not align perfectly on the same bar, preventing missed signals. 4. **Signal Invalidation Logic:** Features two built-in invalidation rules: - An optional `invalidate` parameter automatically terminates active divergences if the price or the oscillator breaks the level of the confirming pivot. - The engine also discards 'half-pivots' (e.g., a price pivot) if a corresponding oscillator pivot does not appear within the `barTol` window. 5. **Stateful Plotting Helpers:** Provides helper functions (`bullDivPos` and `bearDivPos`) that abstract away the state management issues of visualizing persistent signals. They generate gap-free, accurately anchored data series ready to be used in `plotshape` functions, simplifying indicator-side code. 6. **Rich Data Output:** The core detection functions (`bullDiv`, `bearDiv`) return a comprehensive 9-field data tuple. This includes the boolean flags for each divergence type and the precise coordinates (price, oscillator value, bar index) of both the starting and the confirming pivots. 7. **Market Structure & Trend Analysis:** Includes a `marketStructure` function to automatically identify pivot highs/lows, classify their relationship (HH, LH, LL, HL), detect structure breaks, and determine the current trend state (Up, Down, Neutral) based on pivot sequences. --- **DISCLAIMER** This library is provided "AS IS" and for informational and educational purposes only. It does not constitute financial, investment, or trading advice. The author assumes no liability for any errors, inaccuracies, or omissions in the code. Using this library to build trading indicators or strategies is entirely at your own risk. As a developer using this library, you are solely responsible for the rigorous testing, validation, and performance of any scripts you create based on these functions. The author shall not be held liable for any financial losses incurred directly or indirectly from the use of this library or any scripts derived from it. bullDiv(priceSrc, oscSrc, leftLen, rightLen, depth, barTol, prcTol, persist, invalidate)   Detects bullish divergences (Regular, Hidden, Exaggerated) based on pivot lows.   Parameters:      priceSrc (float) : series float Price series to check for pivots (e.g., `low`).      oscSrc (float) : series float Oscillator series to check for pivots.      leftLen (int) : series int Number of bars to the left of a pivot (default 5).      rightLen (int) : series int Number of bars to the right of a pivot (default 5).      depth (int) : series int Maximum number of stored pivot pairs to check against (default 2).      barTol (int) : series int Maximum bar distance allowed between the price pivot and the oscillator pivot (default 3).      prcTol (float) : series float The percentage tolerance for comparing pivot prices. Used to detect Exaggerated divergences and filter out market noise (default 0.05%).      persist (bool) : series bool If `true` (default), the divergence flag stays active for the entire duration of the signal. If `false`, it returns a single-bar pulse on detection.      invalidate (bool) : series bool If `true` (default), terminates an active divergence if price or oscillator break below the confirming pivot low.   Returns: A tuple containing comprehensive data for a detected bullish divergence. regBull series bool `true` if a Regular bullish divergence (Class A) is active. hidBull series bool `true` if a Hidden bullish divergence (Class B) is active. exgBull series bool `true` if an Exaggerated bullish divergence (Class C) is active. initPivotPrc series float Price value of the initial (older) pivot low. initPivotOsz series float Oscillator value of the initial pivot low. initPivotBar series int Bar index of the initial pivot low. lastPivotPrc series float Price value of the last (confirming) pivot low. lastPivotOsz series float Oscillator value of the last pivot low. lastPivotBar series int Bar index of the last pivot low. bearDiv(priceSrc, oscSrc, leftLen, rightLen, depth, barTol, prcTol, persist, invalidate)   Detects bearish divergences (Regular, Hidden, Exaggerated) based on pivot highs.   Parameters:      priceSrc (float) : series float Price series to check for pivots (e.g., `high`).      oscSrc (float) : series float Oscillator series to check for pivots.      leftLen (int) : series int Number of bars to the left of a pivot (default 5).      rightLen (int) : series int Number of bars to the right of a pivot (default 5).      depth (int) : series int Maximum number of stored pivot pairs to check against (default 2).      barTol (int) : series int Maximum bar distance allowed between the price pivot and the oscillator pivot (default 3).      prcTol (float) : series float The percentage tolerance for comparing pivot prices. Used to detect Exaggerated divergences and filter out market noise (default 0.05%).      persist (bool) : series bool If `true` (default), the divergence flag stays active for the entire duration of the signal. If `false`, it returns a single-bar pulse on detection.      invalidate (bool) : series bool If `true` (default), terminates an active divergence if price or oscillator break above the confirming pivot high.   Returns: A tuple containing comprehensive data for a detected bearish divergence. regBear series bool `true` if a Regular bearish divergence (Class A) is active. hidBear series bool `true` if a Hidden bearish divergence (Class B) is active. exgBear series bool `true` if an Exaggerated bearish divergence (Class C) is active. initPivotPrc series float Price value of the initial (older) pivot high. initPivotOsz series float Oscillator value of the initial pivot high. initPivotBar series int Bar index of the initial pivot high. lastPivotPrc series float Price value of the last (confirming) pivot high. lastPivotOsz series float Oscillator value of the last pivot high. lastPivotBar series int Bar index of the last pivot high. bullDivPos(regBull, hidBull, exgBull, rightLen, yPos)   Calculates the plottable data series for bullish divergences. It manages the complex state of a persistent signal's plotting window to ensure gap-free and accurately anchored visualization.   Parameters:      regBull (bool) : series bool The regular bullish divergence flag from `bullDiv`.      hidBull (bool) : series bool The hidden bullish divergence flag from `bullDiv`.      exgBull (bool) : series bool The exaggerated bullish divergence flag from `bullDiv`.      rightLen (int) : series int The same `rightLen` value used in `bullDiv` for correct timing.      yPos (float) : series float The series providing the base Y-coordinate for the shapes (e.g., `low`).   Returns: A tuple of three `series float` for plotting bullish divergences. regBullPosY series float Contains the static anchor Y-value for Regular divergences where a shape should be plotted; `na` otherwise. hidBullPosY series float Contains the static anchor Y-value for Hidden divergences where a shape should be plotted; `na` otherwise. exgBullPosY series float Contains the static anchor Y-value for Exaggerated divergences where a shape should be plotted; `na` otherwise. bearDivPos(regBear, hidBear, exgBear, rightLen, yPos)   Calculates the plottable data series for bearish divergences. It manages the complex state of a persistent signal's plotting window to ensure gap-free and accurately anchored visualization.   Parameters:      regBear (bool) : series bool The regular bearish divergence flag from `bearDiv`.      hidBear (bool) : series bool The hidden bearish divergence flag from `bearDiv`.      exgBear (bool) : series bool The exaggerated bearish divergence flag from `bearDiv`.      rightLen (int) : series int The same `rightLen` value used in `bearDiv` for correct timing.      yPos (float) : series float The series providing the base Y-coordinate for the shapes (e.g., `high`).   Returns: A tuple of three `series float` for plotting bearish divergences. regBearPosY series float Contains the static anchor Y-value for Regular divergences where a shape should be plotted; `na` otherwise. hidBearPosY series float Contains the static anchor Y-value for Hidden divergences where a shape should be plotted; `na` otherwise. exgBearPosY series float Contains the static anchor Y-value for Exaggerated divergences where a shape should be plotted; `na` otherwise. marketStructure(highSrc, lowSrc, leftLen, rightLen, srcTol)   Analyzes the market structure by identifying pivot points, classifying their sequence (e.g., Higher Highs, Lower Lows), and determining the prevailing trend state.   Parameters:      highSrc (float) : series float Price series for pivot high detection (e.g., `high`).      lowSrc (float) : series float Price series for pivot low detection (e.g., `low`).      leftLen (int) : series int Number of bars to the left of a pivot (default 5).      rightLen (int) : series int Number of bars to the right of a pivot (default 5).      srcTol (float) : series float Percentage tolerance to consider two pivots as 'equal' (default 0.05%).   Returns: A tuple containing detailed market structure information. pivType series PivType The type of the most recently formed pivot (e.g., `hh`, `ll`). lastPivHi series float The price level of the last confirmed pivot high. lastPivLo series float The price level of the last confirmed pivot low. lastPiv series float The price level of the last confirmed pivot (either high or low). pivHiBroken series bool `true` if the price has broken above the last pivot high. pivLoBroken series bool `true` if the price has broken below the last pivot low. trendState series TrendState The current trend state (`up`, `down`, or `neutral`).
ไลบรารี Pine Script®
โดย AustrianTradingMachine
GTI BGTI: RSI Suite (Standard • Stochastic • Smoothed) A three-layer momentum and trend toolkit that combines Standard RSI, Stochastic RSI, and a Smoothed/“Macro” RSI to help you read intraday swings, trend transitions, and high-probability reversal/continuation spots. All in one pane with intuitive coloring and optional divergence markers and alerts. Why this works * Stochastic RSI (K/D) visualizes fast momentum swings and timing. * Standard RSI moves more gradually, helping confirm trend transitions that may span several Stochastic cycles. * Smoothed RSI (Average → Macro) adds a second-pass filter and slope persistence to reveal the macro direction while suppressing noise. Used together, Stochastic guides entries/exits around local highs/lows, while the RSI layers improve confidence when a small swing is likely part of a larger turn. What you’ll see * Standard RSI (yellow; pink above Bull line, aqua below Bear line). * Stochastic RSI (K/D) with contextual colors: * Greens when RSI is weak/oversold (bearish conditions → watch for bullish reversals/continuations). * Reds when RSI is strong/overbought (bullish conditions → watch for bearish reversals/continuations). * Smoothed (Macro) RSI with trend color: * Red when macro is ascending (bullish), * Aqua when macro is descending (bearish). * Divergences (optional markers): * Bearish: RSI Lower High + Price Higher High (red ⬇). * Bullish: RSI Higher Low + Price Lower Low (green ⬆). * No repaint: pivots confirm after the chosen right-bars window. How to use it * Bullish Reversal * Macro RSI is reversing at a higher low after price has been in a overall downtrend * Stochastic RSI is switching from green to red in an overall downtrend * Bullish Oversold * Macro RSI is reversing from a significantly low level after price has a short but strong dip during an overall uptrend * Stochastic RSI is switching from green to red in an overall uptrend * Bullish Continuation * Macro RSI is ascending with a strong slope or forming a higher low above the 50 line * Stochastic RSI is reaching a bottom but still painted red * Bearish Reversal * Macro RSI is reversing at a lower high after price has been in a overall uptrend * Stochastic RSI is switching from red to green in an overall uptrend * Bearish Overbought * Macro RSI is reversing from a significantly high level after price has a short but strong jump during an overall downtrend * Stochastic RSI is switching from red to green in an overall downtrend * Bearish Continuation * Macro RSI is descending with a strong slope or forming a lower high below the 50 line * Stochastic RSI is reaching a top but still painted green * Divergences: Use as signals of exhaustion—best when aligned with Macro RSI color/slope and key levels (e.g., Bull/Bear lines, 50 midline). *** IMPORTANT *** * Stack confluence, don’t single-signal trade. Look for: * 1) Macro RSI color & slope (red = ascending/bullish, aqua = descending/bearish) * 2) Standard RSI location (above/below Bull/Bear lines or 50) * 3) Stoch flip + direction * 4) Price structure (HH/HL vs LH/LL) * 5) Divergence type (regular vs hidden) at meaningful levels * Trade with the macro * Prioritize longs when Macro RSI is red or just flipped up * Prioritize shorts when Macro RSI is aqua or just flipped down * Counter-trend setups = smaller size and faster management. * Location > signal * The same crossover/divergence is higher quality near Bull (~60)/Bear(~40) or extremes than in the mid-range chop around 50. * Early vs confirmed * Use the early pivot heads-up for anticipation, but scale in only after the confirmed pivot (right-bars complete). If early signal fails to confirm, stand down. * Define invalidation upfront * For divergence entries, place stops beyond the pivot extreme (LL/HH). If Macro RSI flips against your trade or RSI breaks back through 50 with slope, exit or tighten. * Multi-timeframe alignment * Best results come when entry timeframe (e.g., 1H) aligns with higher-TF macro (e.g., 4H/D). If they disagree, treat it as mean-reversion only. * Avoid common traps * Skip: isolated Stochastic flips without RSI support, divergences without price HH/LL confirmation, and serial divergences when Macro RSI slope is strong against the idea. * Parameter guidance * Start with defaults; then tune: confirmBars 3–7, minSlope 0.05–0.15 RSI pts/bar, pivot left/right tighter for faster but noisier signals, wider for cleaner but fewer. * Alerts = workflow, not auto-trades * Use Macro Flip + Divergence alerts as a checklist trigger; enter only when your confluence rules are met and risk is defined. Key inputs (tweak to your market/timeframe) * RSI / Stochastic lengths and K/D smoothing. * Bull / Bear Lines (default 61.1 / 43.6). * Average RSI Method/Length (SMA/EMA/RMA/WMA) + Macro Smooth Length. * Trend confirmation: bars of persistence and minimum slope to reduce flip noise. * Pivot look-back (left/right) for divergence confirmation strictness. Alerts included * Macro Flip Up / Down (Smoothed RSI regime change). * RSI Bullish/Bearish Divergence (confirmed at pivot). * Stochastic RSI continuation/divergence (optional). Tips * Level + Slope matter. High/low RSI level flags conditions; slope confirms impulse/continuation. * Let Stochastic time the swing; let Macro RSI filter the trend. * Tighten or loosen pivot windows to trade fewer/cleaner vs. more/faster signals.
อินดิเคเตอร์ Pine Script®
โดย theValleyMan
2
Sunmool's NY Lunch Model BacktestingICT NY Lunch Model Backtesting (12:00–13:00 NY) 🗽🍔 This research indicator tests an ICT narrative using the New York lunch window (12:00–13:00 America/New_York). It records that hour’s high/low and measures, during the post-lunch session (default 13:00–16:00), how often: ⬆️ If the afternoon trends up, the Lunch Low gets swept first. ⬇️ If the afternoon trends down, the Lunch High gets swept first. It reports these as conditional probabilities, not trade signals. 📈 👀 What it shows 🟦 Lunch Range box (toggle): high/low from 12:00–13:00 NY 🔻🔺 Sweep signals (bar-anchored) Low sweep: triangle below bar + optional “L” High sweep: triangle above bar + optional “H” 🧱 Optional small box wrapping the swept candle 📊 Stats table (top-right) P(L-swept | Up) — % of Up-days where Lunch Low was swept P(H-swept | Down) — % of Down-days where Lunch High was swept 🔁 Contradictions + sample sizes (Up-days / Down-days) 🎯 Direction logic (Up/Down) Anchor: 13:00 open (pmOpen) ⏰ Threshold: ATR × multiple or % from 13:00 Close ≥ pmOpen + threshold → Up-day Close ≤ pmOpen − threshold → Down-day Tiny moves under the threshold are ignored to reduce noise 🧹 ⚙️ Inputs 🌐 Timezone: America/New_York (DST handled) 🍽️ Lunch window: 1200–1300 🕓 Post-lunch window: default 1300–1600 (try 17:00/20:00 for sensitivity) 📐 Trend threshold: ATR / Percent (with length/multiple or % level) 📅 Weekdays-only toggle (FX/Equities style) 👁️ Display toggles: Lunch box / sweep arrows / sweep text / sweep candle box / stats table 🔔 TF hint when chart TF > 15m 🧭 How to use Use 5–15m charts for accurate lunch range capture. Scroll ~1 year for meaningful samples. Run sensitivity checks: vary ATR/% thresholds and the post-lunch end time. For crypto, compare with vs without weekends. 🚀 🧠 Reading the results High P(L-swept | Up) with a solid Up-day count ⇒ on up afternoons, lunch low is often swept. High P(H-swept | Down) ⇒ on down afternoons, lunch high is often swept. Lower Contradictions = cleaner tendency. Remember: this is a probabilistic tendency, not a rule. 🎲 📝 Notes & limits All markers (arrows, text, sweep boxes) are bar-anchored; the lunch range box is a research overlay you can toggle. Real-time vs historical bar building can differ—interpret on bar close. 🔒
อินดิเคเตอร์ Pine Script®
โดย sunmool_
mysourcetypesncsLibrary "mysourcetypes" Libreria personale per sorgenti estese (Close, Open, High, Low, Median, Typical, Weighted, Average, Average Median Body, Trend Biased, Trend Biased Extreme, Volume Body, Momentum Biased, Volatility Adjusted, Body Dominance, Shadow Biased, Gap Aware, Rejection Biased, Range Position, Adaptive Trend, Pressure Balanced, Impulse Wave) rclose()   Regular Close   Returns: Close price ropen()   Regular Open   Returns: Open price rhigh()   Regular High   Returns: High price rlow()   Regular Low   Returns: Low price rmedian()   Regular Median (HL2)   Returns: (High + Low) / 2 rtypical()   Regular Typical (HLC3)   Returns: (High + Low + Close) / 3 rweighted()   Regular Weighted (HLCC4)   Returns: (High + Low + Close + Close) / 4 raverage()   Regular Average (OHLC4)   Returns: (Open + High + Low + Close) / 4 ravemedbody()   Average Median Body   Returns: (Open + Close) / 2 rtrendb()   Trend Biased Regular   Returns: Trend-weighted price rtrendbext()   Trend Biased Extreme   Returns: Extreme trend-weighted price rvolbody()   Volume Weighted Body   Returns: Body midpoint weighted by volume intensity rmomentum()   Momentum Biased   Returns: Price biased towards momentum direction rvolatility()   Volatility Adjusted   Returns: Price adjusted by candle's volatility rbodydominance()   Body Dominance   Returns: Emphasizes body over wicks rshadowbias()   Shadow Biased   Returns: Price biased by shadow length rgapaware()   Gap Aware   Returns: Considers gap between candles rrejection()   Rejection Biased   Returns: Emphasizes price rejection levels rrangeposition()   Range Position   Returns: Where close sits within the candle range (0-100%) radaptivetrend()   Adaptive Trend   Returns: Adapts based on recent trend strength rpressure()   Pressure Balanced   Returns: Balances buying/selling pressure within candle rimpulse()   Impulse Wave   Returns: Detects impulsive moves vs corrections
ไลบรารี Pine Script®
โดย stefanoncs
Ultimate Oscillator (ULTOSC)The Ultimate Oscillator (ULTOSC) is a technical momentum indicator developed by Larry Williams that combines three different time periods to reduce the volatility and false signals common in single-period oscillators. By using a weighted average of three Stochastic-like calculations across short, medium, and long-term periods, the Ultimate Oscillator provides a more comprehensive view of market momentum while maintaining sensitivity to price changes. The indicator addresses the common problem of oscillators being either too sensitive (generating many false signals) or too slow (missing opportunities). By incorporating multiple timeframes with decreasing weights for longer periods, ULTOSC attempts to capture both short-term momentum shifts and longer-term trend strength, making it particularly valuable for identifying divergences and potential reversal points. ## Core Concepts * **Multi-timeframe analysis:** Combines three different periods (typically 7, 14, 28) to capture various momentum cycles * **Weighted averaging:** Assigns higher weights to shorter periods for responsiveness while including longer periods for stability * **Buying pressure focus:** Measures the relationship between closing price and the true range rather than just high-low range * **Divergence detection:** Particularly effective at identifying momentum divergences that precede price reversals * **Normalized scale:** Oscillates between 0 and 100, with clear overbought/oversold levels ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Fast Period | 7 | Short-term momentum calculation | Lower (5-6) for more sensitivity, higher (9-12) for smoother signals | | Medium Period | 14 | Medium-term momentum calculation | Adjust based on typical swing duration in the market | | Slow Period | 28 | Long-term momentum calculation | Higher values (35-42) for longer-term position trading | | Fast Weight | 4.0 | Weight applied to fast period | Higher weight increases short-term sensitivity | | Medium Weight | 2.0 | Weight applied to medium period | Adjust to balance medium-term influence | | Slow Weight | 1.0 | Weight applied to slow period | Usually kept at 1.0 as the baseline weight | **Pro Tip:** The classic 7/14/28 periods with 4/2/1 weights work well for most markets, but consider using 5/10/20 with adjusted weights for faster markets or 14/28/56 for longer-term analysis. ## Calculation and Mathematical Foundation **Simplified explanation:** The Ultimate Oscillator calculates three separate "buying pressure" ratios using different time periods, then combines them using weighted averaging. Buying pressure is defined as the close minus the true low, divided by the true range. **Technical formula:** ``` BP = Close - Min(Low, Previous Close) TR = Max(High, Previous Close) - Min(Low, Previous Close) BP_Sum_Fast = Sum(BP, Fast Period) TR_Sum_Fast = Sum(TR, Fast Period) Raw_Fast = 100 × (BP_Sum_Fast / TR_Sum_Fast) BP_Sum_Medium = Sum(BP, Medium Period) TR_Sum_Medium = Sum(TR, Medium Period) Raw_Medium = 100 × (BP_Sum_Medium / TR_Sum_Medium) BP_Sum_Slow = Sum(BP, Slow Period) TR_Sum_Slow = Sum(TR, Slow Period) Raw_Slow = 100 × (BP_Sum_Slow / TR_Sum_Slow) ULTOSC = 100 × / (Fast_Weight + Medium_Weight + Slow_Weight) ``` Where: - BP = Buying Pressure - TR = True Range - Fast Period = 7, Medium Period = 14, Slow Period = 28 (defaults) - Fast Weight = 4, Medium Weight = 2, Slow Weight = 1 (defaults) > 🔍 **Technical Note:** The implementation uses efficient circular buffers for all three period calculations, maintaining O(1) time complexity per bar. The algorithm properly handles true range calculations including gaps and ensures accurate buying pressure measurements across all timeframes. ## Interpretation Details ULTOSC provides several analytical perspectives: * **Overbought/Oversold conditions:** Values above 70 suggest overbought conditions, below 30 suggest oversold conditions * **Momentum direction:** Rising ULTOSC indicates increasing buying pressure, falling indicates increasing selling pressure * **Divergence analysis:** Divergences between ULTOSC and price often precede significant reversals * **Trend confirmation:** ULTOSC direction can confirm or question the prevailing price trend * **Signal quality:** Extreme readings (>80 or <20) indicate strong momentum that may be unsustainable * **Multiple timeframe consensus:** When all three underlying periods agree, signals are typically more reliable ## Trading Applications **Primary Uses:** - **Divergence trading:** Identify when momentum diverges from price for reversal signals - **Overbought/oversold identification:** Find potential entry/exit points at extreme levels - **Trend confirmation:** Validate breakouts and trend continuations - **Momentum analysis:** Assess the strength of current price movements **Advanced Strategies:** - **Multi-divergence confirmation:** Look for divergences across multiple timeframes - **Momentum breakouts:** Trade when ULTOSC breaks above/below key levels with volume - **Swing trading entries:** Use oversold/overbought levels for swing position entries - **Trend strength assessment:** Evaluate trend quality using momentum consistency ## Signal Combinations **Strong Bullish Signals:** - ULTOSC rises from oversold territory (<30) with positive price divergence - ULTOSC breaks above 50 after forming a base near 30 - All three underlying periods show increasing buying pressure **Strong Bearish Signals:** - ULTOSC falls from overbought territory (>70) with negative price divergence - ULTOSC breaks below 50 after forming a top near 70 - All three underlying periods show decreasing buying pressure **Divergence Signals:** - **Bullish divergence:** Price makes lower lows while ULTOSC makes higher lows - **Bearish divergence:** Price makes higher highs while ULTOSC makes lower highs - **Hidden bullish divergence:** Price makes higher lows while ULTOSC makes lower lows (trend continuation) - **Hidden bearish divergence:** Price makes lower highs while ULTOSC makes higher highs (trend continuation) ## Comparison with Related Oscillators | Indicator | Periods | Focus | Best Use Case | |-----------|---------|-------|---------------| | **Ultimate Oscillator** | 3 periods | Buying pressure | Divergence detection | | **Stochastic** | 1-2 periods | Price position | Overbought/oversold | | **RSI** | 1 period | Price momentum | Momentum analysis | | **Williams %R** | 1 period | Price position | Short-term signals | ## Advanced Configurations **Fast Trading Setup:** - Fast: 5, Medium: 10, Slow: 20 - Weights: 4/2/1, Thresholds: 75/25 **Standard Setup:** - Fast: 7, Medium: 14, Slow: 28 - Weights: 4/2/1, Thresholds: 70/30 **Conservative Setup:** - Fast: 14, Medium: 28, Slow: 56 - Weights: 3/2/1, Thresholds: 65/35 **Divergence Focused:** - Fast: 7, Medium: 14, Slow: 28 - Weights: 2/2/2, Thresholds: 70/30 ## Market-Specific Adjustments **Volatile Markets:** - Use longer periods (10/20/40) to reduce noise - Consider higher threshold levels (75/25) - Focus on extreme readings for signal quality **Trending Markets:** - Emphasize divergence analysis over absolute levels - Look for momentum confirmation rather than reversal signals - Use hidden divergences for trend continuation **Range-Bound Markets:** - Standard overbought/oversold levels work well - Trade reversals from extreme levels - Combine with support/resistance analysis ## Limitations and Considerations * **Lagging component:** Contains inherent lag due to multiple moving average calculations * **Complex calculation:** More computationally intensive than single-period oscillators * **Parameter sensitivity:** Performance varies significantly with different period/weight combinations * **Market dependency:** Most effective in trending markets with clear momentum patterns * **False divergences:** Not all divergences lead to significant price reversals * **Whipsaw potential:** Can generate conflicting signals in choppy markets ## Best Practices **Effective Usage:** - Focus on divergences rather than absolute overbought/oversold levels - Combine with trend analysis for context - Use multiple timeframe analysis for confirmation - Pay attention to the speed of momentum changes **Common Mistakes:** - Over-relying on overbought/oversold levels in strong trends - Ignoring the underlying trend direction - Using inappropriate period settings for the market being analyzed - Trading every divergence without additional confirmation **Signal Enhancement:** - Combine with volume analysis for confirmation - Use price action context (support/resistance levels) - Consider market volatility when setting thresholds - Look for convergence across multiple momentum indicators ## Historical Context and Development The Ultimate Oscillator was developed by Larry Williams and introduced in his 1985 article "The Ultimate Oscillator" in Technical Analysis of Stocks and Commodities magazine. Williams designed it to address the limitations of single-period oscillators by: - Reducing false signals through multi-timeframe analysis - Maintaining sensitivity to short-term momentum changes - Providing more reliable divergence signals - Creating a more robust momentum measurement tool The indicator has become a standard tool in technical analysis, particularly valued for its divergence detection capabilities and its balanced approach to momentum measurement. ## References * Williams, L. R. (1985). The Ultimate Oscillator. Technical Analysis of Stocks and Commodities, 3(4). * Williams, L. R. (1999). Long-Term Secrets to Short-Term Trading. Wiley Trading.
อินดิเคเตอร์ Pine Script®
โดย mihakralj
Luxy BIG beautiful Dynamic ORBThis is an advanced Opening Range Breakout (ORB) indicator that tracks price breakouts from the first 5, 15, 30, and 60 minutes of the trading session. It provides complete trade management including entry signals, stop-loss placement, take-profit targets, and position sizing calculations. The ORB strategy is based on the concept that the opening range of a trading session often acts as support/resistance, and breakouts from this range tend to lead to significant moves. What Makes This Different? Most ORB indicators simply draw horizontal lines and leave you to figure out the rest. This indicator goes several steps further: Multi-Stage Tracking Instead of just one ORB timeframe, this tracks FOUR simultaneously (5min, 15min, 30min, 60min). Each stage builds on the previous one, giving you multiple trading opportunities throughout the session. Active Trade Management When a breakout occurs, the indicator automatically calculates and displays entry price, stop-loss, and multiple take-profit targets. These lines extend forward and update in real-time until the trade completes. Cycle Detection Unlike indicators that only show the first breakout, this tracks the complete cycle: Breakout → Retest → Re-breakout. You can see when price returns to test the ORB level after breaking out (potential re-entry). Failed Breakout Warning If price breaks out but quickly returns inside the range (within a few bars), the label changes to "FAILED BREAK" - warning you to exit or avoid the trade. Position Sizing Calculator Built-in risk management that tells you exactly how many shares to buy based on your account size and risk tolerance. No more guessing or manual calculations. Advanced Filtering Optional filters for volume confirmation, trend alignment, and Fair Value Gaps (FVG) to reduce false signals and improve win rate. Core Features Explained ### 1. Multi-Stage ORB Levels The indicator builds four separate Opening Range levels: ORB 5 - First 5 minutes (fastest signals, most volatile) ORB 15 - First 15 minutes (balanced, most popular) ORB 30 - First 30 minutes (slower, more reliable) ORB 60 - First 60 minutes (slowest, most confirmed) Each level is drawn as a horizontal range on your chart. As time progresses, the ranges expand to include more price action. You can enable or disable any stage and assign custom colors to each. How it works: During the opening minutes, the indicator tracks the highest high and lowest low. Once the time period completes, those levels become your ORB high and low for that stage. ### 2. Breakout Detection When price closes outside the ORB range, a label appears: BREAK UP (green label above price) - Price closed above ORB High BREAK DOWN (red label below price) - Price closed below ORB Low The label shows which ORB stage triggered (ORB5, ORB15, etc.) and the cycle number if tracking multiple breakouts. Important: Signals appear on bar close only - no repainting. What you see is what you get. ### 3. Retest Detection After price breaks out and moves away, if it returns to test the ORB level, a "RETEST" label appears (orange). This indicates: The original breakout level is now acting as support/resistance Potential re-entry opportunity if you missed the first breakout Confirmation that the level is significant The indicator requires price to move a minimum distance away before considering it a valid retest (configurable in settings). ### 4. Failed Breakout Detection If price breaks out but returns inside the ORB range within a few bars (before the breakout is "committed"), the original label changes to "FAILED BREAK" in orange. This warns you: The breakout lacked conviction Consider exiting if already in the trade Wait for better setup Committed Breakout: The indicator tracks how many bars price stays outside the range. Only after staying outside for the minimum number of bars does it become a committed breakout that can be retested. ### 5. TP/SL Lines (Trade Management) When a breakout occurs, colored horizontal lines appear showing: Entry Line (cyan for long, orange for short) - Your entry price (the ORB level) Stop Loss Line (red) - Where to exit if trade goes against you TP1, TP2, TP3 Lines (same color as entry) - Profit targets at 1R, 2R, 3R These lines extend forward as new bars form, making it easy to track your trade. When a target is hit, the line turns green and the label shows a checkmark. Lines freeze (stop updating) when: Stop loss is hit The final enabled take-profit is hit End of trading session (optional setting) ### 6. Position Sizing Dashboard The dashboard (bottom-left corner by default) shows real-time information: Current ORB stage and range size Breakout status (Inside Range / Break Up / Break Down) Volume confirmation (if filter enabled) Trend alignment (if filter enabled) Entry and Stop Loss prices All enabled Take Profit levels with percentages Risk/Reward ratio Position sizing: Max shares to buy and total risk amount Position Sizing Example: If your account is $25,000 and you risk 1% per trade ($250), and the distance from entry to stop loss is $0.50, the calculator shows you can buy 500 shares (250 / 0.50 = 500). ### 7. FVG Filter (Fair Value Gap) Fair Value Gaps are price inefficiencies - gaps left by strong momentum where one candle's high doesn't overlap with a previous candle's low (or vice versa). When enabled, this filter: Detects bullish and bearish FVGs Draws semi-transparent boxes around these gaps Only allows breakout signals if there's an FVG near the breakout level Why this helps: FVGs indicate institutional activity. Breakouts through FVGs tend to be stronger and more reliable. Proximity setting: Controls how close the FVG must be to the ORB level. 2.0x means the breakout can be within 2 times the FVG size - a reasonable default. ### 8. Volume & Trend Filters Volume Filter: Requires current volume to be above average (customizable multiplier). High volume breakouts are more likely to sustain. Set minimum multiplier (e.g., 1.5x = 50% above average) Set "strong volume" multiplier (e.g., 2.5x) that bypasses other filters Dashboard shows current volume ratio Trend Filter: Only shows breakouts aligned with a higher timeframe trend. Choose from: VWAP - Price above/below volume-weighted average EMA - Price above/below exponential moving average SuperTrend - ATR-based trend indicator Combined modes (VWAP+EMA, VWAP+SuperTrend) for stricter filtering ### 9. Pullback Filter (Advanced) Purpose: Waits for price to pull back slightly after initial breakout before confirming the signal. This reduces false breakouts from immediate reversals. How it works: - After breakout is detected, indicator waits for a small pullback (default 2%) - Once pullback occurs AND price breaks out again, signal is confirmed - If no pullback within timeout period (5 bars), signal is issued anyway Settings: Enable Pullback Filter: Turn this filter on/off Pullback %: How much price must pull back (2% is balanced) Timeout (bars): Max bars to wait for pullback (5 is standard) When to use: - Choppy markets with many fake breakouts - When you want higher quality signals - Combine with Volume filter for maximum confirmation Trade-off: - Better signal quality - May miss some valid fast moves - Slight entry delay How to Use This Indicator ### For Beginners - Simple Setup Add the indicator to your chart (5-minute or 15-minute timeframe recommended) Leave all default settings - they work well for most stocks Watch for BREAK UP or BREAK DOWN labels to appear Check the dashboard for entry, stop loss, and targets Use the position sizing to determine how many shares to buy Basic Trading Plan: Wait for a clear breakout label Enter at the ORB level (or next candle open if you're late) Place stop loss where the red line indicates Take profit at TP1 (50% of position) and TP2 (remaining 50%) ### For Advanced Traders - Customized Setup Choose which ORB stages to track (you might only want ORB15 and ORB30) Enable filters: Volume (stocks) or Trend (trending markets) Enable FVG filter for institutional confirmation Set "Track Cycles" mode to catch retests and re-breakouts Customize stop loss method (ATR for volatile stocks, ORB% for stable ones) Adjust risk per trade and account size for accurate position sizing Advanced Strategy Example: Enable ORB15 only (disable others for cleaner chart) Turn on Volume filter at 1.5x with Strong at 2.5x Enable Trend filter using VWAP Set Signal Mode to "Track Cycles" with Max 3 cycles Wait for aligned breakouts (Volume + Trend + Direction) Enter on retest if you missed the initial break ### Timeframe Recommendations 5-minute chart: Scalping, very active trading, crypto 15-minute chart: Day trading, balanced approach (most popular) 30-minute chart: Swing entries, less screen time 60-minute chart: Position trading, longer holds The indicator works on any intraday timeframe, but ORB is fundamentally a day trading strategy. Daily charts don't make sense for ORB. DEFAULT CONFIGURATION ON by Default: • All 4 ORB stages (5/15/30/60) • Breakout Detection • Retest Labels • All TP levels (1/1.5/2/3) • TP/SL Lines (Detailed mode) • Dashboard (Bottom Left, Dark theme) • Position Size Calculator OFF by Default (Optional Filters): • FVG Filter • Pullback Filter • Volume Filter • Trend Filter • HTF Bias Check • Alerts Recommended for Beginners: • Leave all defaults • Session Mode: Auto-Detect • Signal Mode: Track Cycles • Stop Method: ATR • Add Volume Filter if trading stocks Recommended for Advanced: • Enable ORB15 + ORB30 only (disable 5 & 60) • Enable: Volume + Trend + FVG • Signal Mode: Track Cycles, Max 3 • Stop Method: ATR or Safer • Enable HTF Daily bias check ## Settings Guide The settings are organized into logical groups. Here's what each section controls: ### ORB COLORS Section Show Edge Labels: Display "ORB 5", "ORB 15" labels at the right edge of the levels Background: Fill the area between ORB high/low with color Transparency: How see-through the background is (95% is nearly invisible) Enable ORB 5/15/30/60: Turn each stage on or off individually Colors: Assign colors to each ORB stage for easy identification ### SESSION SETTINGS Section Session Mode: Choose trading session (Auto-Detect works for most instruments) Custom Session Hours: Define your own hours if needed (format: HHMM-HHMM) Auto-Detect uses the instrument's natural hours (stocks use exchange hours, crypto uses 24/7). ### BREAKOUT DETECTION Section Enable Breakout Detection: Master switch for signals Show Retest Labels: Display retest signals Label Size: Visual size for all labels (Small recommended) Enable FVG Filter: Require Fair Value Gap confirmation Show FVG Boxes: Display the gap boxes on chart Signal Mode: "First Only" = one signal per direction per day, "Track Cycles" = multiple signals Max Cycles: How many breakout-retest cycles to track (6 is balanced) Breakout Buffer: Extra distance required beyond ORB level (0.1-0.2% recommended) Min Distance for Retest: How far price must move away before retest is valid (2% recommended) Min Bars Outside ORB: Bars price must stay outside for committed breakout (2 is balanced) ### TARGETS & RISK Section Enable Targets & Stop-Loss: Calculate and show trade management TP1/TP2/TP3 checkboxes: Select which profit targets to display Stop Method: How to calculate stop loss placement - ATR: Based on volatility (best for most cases) - ORB %: Fixed % of ORB range - Swing: Recent swing high/low - Safer: Widest of all methods ATR Length & Multiplier: Controls ATR stop distance (14 period, 1.5x is standard) ORB Stop %: Percentage beyond ORB for stop (20% is balanced) Swing Bars: Lookback period for swing high/low (3 is recent) ### TP/SL LINES Section Show TP/SL Lines: Display horizontal lines on chart Label Format: "Short" = minimal text, "Detailed" = shows prices Freeze Lines at EOD: Stop extending lines at session close ### DASHBOARD Section Show Info Panel: Display the metrics dashboard Theme: Dark or Light colors Position: Where to place dashboard on chart Toggle rows: Show/hide specific information rows Calculate Position Size: Enable the position sizing calculator Risk Mode: Risk fixed $ amount or % of account Account Size: Your total trading capital Risk %: Percentage to risk per trade (0.5-1% recommended) ### VOLUME FILTER Section Enable Volume Filter: Require volume confirmation MA Length: Average period (20 is standard) Min Volume: Required multiplier (1.5x = 50% above average) Strong Volume: Multiplier that bypasses other filters (2.5x) ### TREND FILTER Section Enable Trend Filter: Require trend alignment Trend Mode: Method to determine trend (VWAP is simple and effective) Custom EMA Length: If using EMA mode (50 for swing, 20 for day trading) SuperTrend settings: Period and Multiplier if using SuperTrend mode ### HIGHER TIMEFRAME Section Check Daily Trend: Display higher timeframe bias in dashboard Timeframe: What TF to check (D = daily, recommended) Method: Price vs MA (stable) or Candle Direction (reactive) MA Period: EMA length for Price vs MA method (20 is balanced) Min Strength %: Minimum strength threshold for HTF bias to be considered - For "Price vs MA": Minimum distance (%) from moving average - For "Candle Direction": Minimum candle body size (%) - 0.5% is balanced - increase for stricter filtering - Lower values = more signals, higher values = only strong trends ### ALERTS Section Enable Alerts: Master switch (must be ON to use any alerts) Breakout Alerts: Notify on ORB breakouts Retest Alerts: Notify when price retests after breakout Failed Break Alerts: Notify on failed breakouts Stage Complete Alerts: Notify when each ORB stage finishes forming After enabling desired alert types, click "Create Alert" button, select this indicator, choose "Any alert() function call". ## Tips & Best Practices ### General Trading Tips ORB works best on liquid instruments (stocks with good volume, major crypto pairs) First hour of the session is most important - that's when ORB is forming Breakouts WITH the trend have higher success rates - use the trend filter Failed breakouts are common - use the "Min Bars Outside" setting to filter weak moves Not every day produces good ORB setups - be patient and selective ### Position Sizing Best Practices Never risk more than 1-2% of your account on a single trade Use the built-in calculator - don't guess your position size Update your account size monthly as it grows Smaller accounts: use $ Amount mode for simplicity Larger accounts: use % of Account mode for scaling ### Take Profit Strategy Most traders use: 50% at TP1, 50% at TP2 Aggressive: Hold through TP1 for TP2 or TP3 Conservative: Full exit at TP1 (1:1 risk/reward) After TP1 hits, consider moving stop to breakeven TP3 rarely hits - only on strong trending days ### Filter Combinations Maximum Quality: Volume + Trend + FVG (fewest signals, highest quality) Balanced: Volume + Trend (good quality, reasonable frequency) Active Trading: No filters or Volume only (many signals, lower quality) Trending Markets: Trend filter essential (indices, crypto) Range-Bound: Volume + FVG (avoid trend filter) ### Common Mistakes to Avoid Chasing breakouts - wait for the bar to close, don't FOMO into wicks Ignoring the stop loss - always use it, move it manually if needed Over-leveraging - the calculator shows MAX shares, you can buy less Trading every signal - quality > quantity, use filters Not tracking results - keep a journal to see what works for YOU ## Pros and Cons ### Advantages Complete all-in-one solution - from signal to position sizing Multiple timeframes tracked simultaneously Visual clarity - easy to see what's happening Cycle tracking catches opportunities others miss Built-in risk management eliminates guesswork Customizable filters for different trading styles No repainting - what you see is locked in Works across multiple markets (stocks, forex, crypto) ### Limitations Intraday strategy only - doesn't work on daily charts Requires active monitoring during first 1-2 hours of session Not suitable for after-hours or extended sessions by default Can produce many signals in choppy markets (use filters) Dashboard can be overwhelming for complete beginners Performance depends on market conditions (trends vs ranges) Requires understanding of risk management concepts ### Best For Day traders who can watch the first 1-2 hours of market open Traders who want systematic entry/exit rules Those learning proper position sizing and risk management Active traders comfortable with multiple signals per day Anyone trading liquid instruments with clear sessions ### Not Ideal For Swing traders holding multi-day positions Set-and-forget / passive investors Traders who can't watch market open Complete beginners unfamiliar with trading concepts Low volume / illiquid instruments ## Frequently Asked Questions Q: Why are no signals appearing? A: Check that you're on an intraday timeframe (5min, 15min, etc.) and that the current time is within your session hours. Also verify that "Enable Breakout Detection" is ON and at least one ORB stage is enabled. If using filters, they might be blocking signals - try disabling them temporarily. Q: What's the best ORB stage to use? A: ORB15 (15 minutes) is most popular and balanced. ORB5 gives faster signals but more noise. ORB30 and ORB60 are slower but more reliable. Many traders use ORB15 + ORB30 together. Q: Should I enable all the filters? A: Start with no filters to see all signals. If too many false signals, add Volume filter first (stocks) or Trend filter (trending markets). FVG filter is most restrictive - use for maximum quality but fewer signals. Q: How do I know which stop loss method to use? A: ATR works for most cases - it adapts to volatility. Use ORB% if you want predictable stop placement. Swing is for respecting chart structure. Safer gives you the most room but largest risk. Q: Can I use this for swing trading? A: Not really - ORB is fundamentally an intraday strategy. The ranges reset each day. For swing trading, look at weekly support/resistance or moving averages instead. Q: Why do TP/SL lines disappear sometimes? A: Lines freeze (stop extending) when: stop loss is hit, the last enabled take-profit is hit, or end of session arrives (if "Freeze at EOD" is enabled). This is intentional - the trade is complete. Q: What's the difference between "First Only" and "Track Cycles"? A: "First Only" shows one breakout UP and one DOWN per day maximum - clean but might miss opportunities. "Track Cycles" shows breakout-retest-rebreak sequences - more signals but busier chart. Q: Is position sizing accurate for options/forex? A: The calculator is designed for shares (stocks). For options, ignore the share count and use the risk amount. For forex, you'll need to adapt the lot size calculation manually. Q: How much capital do I need to use this? A: The indicator works for any account size, but practical day trading typically requires $25,000 in the US due to Pattern Day Trader rules. Adjust the "Account Size" setting to match your capital. Q: Can I backtest this strategy? A: This is an indicator, not a strategy script, so it doesn't have built-in backtesting. You can visually review historical signals or code a strategy script using similar logic. Q: Why does the dashboard show different entry price than the breakout label? A: If you're looking at an old breakout, the ORB levels may have changed when the next stage completed. The dashboard always shows the CURRENT active range and trade setup. Q: What's a good win rate to expect? A: ORB strategies typically see 40-60% win rate depending on market conditions and filters used. The strategy relies on positive risk/reward ratios (2:1 or better) to be profitable even with moderate win rates. Q: Does this work on crypto? A: Yes, but crypto trades 24/7 so you need to define what "session start" means. Use Session Mode = Custom and set your preferred daily reset time (e.g., 0000-2359 UTC). ## Credits & Transparency ### Development This indicator was developed with the assistance of AI technology to implement complex ORB trading logic. The strategy concept, feature specifications, and trading logic were designed by the publisher. The implementation leverages modern development tools to ensure: Clean, efficient, and maintainable code Comprehensive error handling and input validation Detailed documentation and user guidance Performance optimization ### Trading Concepts This indicator implements several public domain trading concepts: Opening Range Breakout (ORB): Trading strategy popularized by Toby Crabel, Mark Fisher and many more talanted traders. Fair Value Gap (FVG): Price imbalance concept from ICT methodology SuperTrend: ATR-based trend indicator using public formula Risk/Reward Ratio: Standard risk management principle All mathematical formulas and technical concepts used are in the public domain. ### Pine Script Uses standard TradingView built-in functions: ta.ema(), ta.atr(), ta.vwap(), ta.highest(), ta.lowest(), request.security() No external libraries or proprietary code from other authors. ## Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for every investor. Past performance shown in examples is not indicative of future results. The indicator provides signals and calculations, but trading decisions are solely your responsibility. Always: Test strategies on paper before using real money Never risk more than you can afford to lose Understand that all trading involves risk Consider seeking advice from a licensed financial advisor The publisher makes no guarantees regarding accuracy, profitability, or performance. Use at your own risk. --- Version: 3.0 Pine Script Version: v6 Last Updated: October 2024 For support, questions, or suggestions, please comment below or send a private message. --- Happy trading, and remember: consistent risk management beats perfect entry timing every time.
อินดิเคเตอร์ Pine Script®
โดย orenluxy
45
PM Range Breaker [CHE] PM Range Breaker — Premarket bias with first-five range breaks, optional SWDEMA regime latch, and simple two-times-range targets Summary This indicator sets a once-per-day directional bias during New York premarket and then tracks a strict first-five-minutes range from the session open. After the first five complete, it marks clean breakouts and can project targets at two times the measured range. A second mode latches an EMA-based regime to inform the bias and optional background tinting. A compact panel reports live state, first-five levels, and rolling hit rates of both bias modes using a user-defined midday close for statistics. Motivation: Why this design? Intraday traders often get whipsawed by early noise or by fast flips in trend filters. This script commits to a bias at a single premarket minute and then waits for the market to present an objective structure: the first-five range. Breaks after that window are clearer and easier to manage. The alternative SWDEMA regime gives a slower, latched context for users who prefer a trend scaffold rather than a midpoint reference. What’s different vs. standard approaches? Baseline: Typical open-range-breakout lines or a single moving-average filter without daily commitment. Architecture differences: Bias decision at a fixed New York time using either a midpoint lookback (“Classic”) or a two-EMA regime latch (“SWDEMA”). Strict five-minute window from session open; breakout shapes print only after that window. Single-shot breakout direction per session (debounce) and optional two-times-range targets. On-chart panel with hit rates using a configurable midday close for statistics. Practical effect: Cleaner visuals, fewer repeated signals, and a traceable daily decision that can be evaluated over time. How it works (technical) Time handling uses New York session times for premarket decision, open, first-five end, and a midday statistics checkpoint. Classic bias: A midpoint is computed from the highest and lowest over a user period; at the premarket minute, the bias is set long when the close is above the midpoint, short otherwise. SWDEMA bias: Two EMAs define a regime score that requires price and trend agreement; when both agree on a confirmed bar, the regime latches. At the premarket minute, the daily bias is set from the current regime. The first-five range captures high and low from open until the end minute, then freezes. Breakouts are detected after that window using close-based cross logic. The script draws range lines and optional targets at two times the frozen range. A session break direction latch prevents duplicate break markers. Statistics compare daily open and a configurable midday close to record if the chosen bias aligned with the move. Optional elements include EMA lines, midpoint line, latched-regime background, and regime switch markers. Data aggregation for day logic and the first-five window is sampled on one-minute data with explicit lookahead off. On charts above one minute, values update intra-bar until the underlying minute closes. Parameter Guide Premarket Start (NY) — Minute when the bias is decided — Default: 08:30 — Move earlier for more stability; later for recency. Market Open (NY) — Session start used for the first-five window — Default: 09:30 — Align to instrument’s RTH if different. First-5 End (NY) — End of the first-five window — Default: 09:35 — Extend slightly to capture wider opening ranges. Day End (NY) for Stats — Midday checkpoint for hit rate — Default: 12:00 — Use a later time for a longer evaluation window. Show First-5 Lines — Draw the frozen range lines — Default: On — Turn off if your chart is crowded. Show Bias Background (Session) — Tint by daily bias during session — Default: On — Useful for directional context. Show Break Shapes — Print breakout triangles — Default: On — Disable if you only want lines and alerts. Show 2R Targets (Optional) — Plot targets at two times the range — Default: On — Switch off if you manage exits differently. Line Length Right — Extension length of drawn lines — Default: 20 (bars) — Increase for slower timeframes. High/Low Line Colors — Visual colors for range levels — Defaults: Green/Red — Adjust to your theme. Long/Short Bias Colors — Background tints — Defaults: Green/Red with high transparency — Lower transparency for stronger emphasis. Show Corner Panel — Enable the info panel — Default: On — Centralizes status and numbers. Show Hit Rates in Panel — Include success rates — Default: On — Turn off to reduce panel rows. Panel Position — Anchor on chart — Default: Top right — Move to avoid overlap. Panel Size — Text size in panel — Default: Small — Increase on high-resolution displays. Dark Panel — Dark theme for the panel — Default: On — Match your chart background. Show EMA Lines — Plot blue and red EMAs — Default: Off — Enable for SWDEMA context. Show Midpoint Line — Plot the midpoint — Default: Off — Useful for Classic mode visualization. Midpoint Lookback Period — Bars for high-low midpoint — Default: 300 — Larger values stabilize; smaller values respond faster. Midpoint Line Color — Color for midpoint — Default: Gray — A neutral line works best. SWDEMA Lengths (Blue/Red) — Periods for the two EMAs — Defaults: 144 and 312 — Longer values reduce flips. Sources (Blue/Red) — Price sources — Defaults: Close and HLC3 — Adjust if you prefer consistency. Offsets (Blue/Red) — Pixel offsets for EMA plots — Defaults: zero — Use only for visual shift. Show Latched Regime Background — Background by SWDEMA regime — Default: Off — Separate from session bias. Latched Background Transparency — Opacity of regime background — Default: eighty-eight — Lower value for stronger tint. Show Latch Switch Markers — Plot regime change markers — Default: Off — For auditing regime changes. Bias Mode — Classic midpoint or SWDEMA latch — Default: Classic — Choose per your style. Background Mode — Session bias or SWDEMA regime — Default: Session — Decide which background narrative you want. Reading & Interpretation Panel: Shows the active bias, first-five high and low, and a state that reads Building during the window, Ready once frozen, and Break arrows when a breakout occurs. Hit rates show the percentage of days where each bias mode aligned with the midday move. Colors and shapes: Green background implies long bias; red implies short bias. Triangle markers denote the first valid breakout after the first-five window. Optional regime markers flag regime changes. Lines: First-five high and low form the core structure. Optional targets mark a level at two times the frozen range from the breakout side. Practical Workflows & Combinations Trend following: Choose a bias mode. Wait for the first clean breakout after the first-five window in the direction of the bias. Confirm with structure such as higher highs and higher lows or lower highs and lower lows. Exits and risk: Conservative users can trail behind the opposite side of the first-five range. Aggressive users can scale near the two-times-range target. Multi-asset and multi-TF: Works well on intraday timeframes from one minute upward. For non-US sessions, adjust the time inputs to the instrument’s regular trading hours. Behavior, Constraints & Performance Repaint and confirmation: Bias and regime decisions use confirmed bars. Breakout signals evaluate on bar close at the chart timeframe. On higher timeframes, minute-based sources update within the live bar until the minute closes. security and HTF: The script samples one-minute data. Lookahead is off. Values stabilize once the source minute closes. Resources: `max_bars_back` is five thousand. Drawing objects and the panel update efficiently, with position extensions handled on the last bar. Known limits: Midday statistics use the configured time, not the official daily close. Session logic assumes New York session timing. Targets are simple multiples of the first-five range and do not adapt to volatility beyond that structure. Sensible Defaults & Quick Tuning Start with Classic bias, midpoint lookback at three hundred, and all visuals on. Too many flips in context → switch to SWDEMA mode or increase EMA lengths. Breakouts feel noisy → extend the first-five end by a minute or two, or wait for a retest by your own rules. Too sluggish → reduce midpoint lookback or shorten EMA lengths. Chart cluttered → hide EMA or midpoint lines and keep only range levels and breakout shapes. What this indicator is—and isn’t This is a visualization and signal layer for session bias and first-five structure. It does not manage orders, position sizing, or risk. It is not predictive. Use it alongside market structure, execution rules, and independent risk controls. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino Many thanks to LonesomeTheBlue for the original work. I adapted the midpoint calculation for this script. www.tradingview.com
อินดิเคเตอร์ Pine Script®
โดย chervolino
Seasonality Heatmap [QuantAlgo]🟢 Overview The Seasonality Heatmap analyzes years of historical data to reveal which months and weekdays have consistently produced gains or losses, displaying results through color-coded tables with statistical metrics like consistency scores (1-10 rating) and positive occurrence rates. By calculating average returns for each calendar month and day-of-week combination, it identifies recognizable seasonal patterns (such as which months or weekdays tend to rally versus decline) and synthesizes this into actionable buy low/sell high timing possibilities for strategic entries and exits. This helps traders and investors spot high-probability seasonal windows where assets have historically shown strength or weakness, enabling them to align positions with recurring bull and bear market patterns. 🟢 How It Works 1. Monthly Heatmap How % Return is Calculated: The indicator fetches monthly closing prices (or Open/High/Low based on user selection) and calculates the percentage change from the previous month: (Current Month Price - Previous Month Price) / Previous Month Price × 100 Each cell in the heatmap represents one month's return in a specific year, creating a multi-year historical view Colors indicate performance intensity: greener/brighter shades for higher positive returns, redder/brighter shades for larger negative returns What Averages Mean: The "Avg %" row displays the arithmetic mean of all historical returns for each calendar month (e.g., averaging all Januaries together, all Februaries together, etc.) This metric identifies historically recurring patterns by showing which months have tended to rise or fall on average Positive averages indicate months that have typically trended upward; negative averages indicate historically weaker months Example: If April shows +18.56% average, it means April has averaged a 18.56% gain across all years analyzed What Months Up % Mean: Shows the percentage of historical occurrences where that month had a positive return (closed higher than the previous month) Calculated as: (Number of Months with Positive Returns / Total Months) × 100 Values above 50% indicate the month has been positive more often than negative; below 50% indicates more frequent negative months Example: If October shows "64%", then 64% of all historical Octobers had positive returns What Consistency Score Means: A 1-10 rating that measures how predictable and stable a month's returns have been Calculated using the coefficient of variation (standard deviation / mean) - lower variation = higher consistency High scores (8-10, green): The month has shown relatively stable behavior with similar outcomes year-to-year Medium scores (5-7, gray): Moderate consistency with some variability Low scores (1-4, red): High variability with unpredictable behavior across different years Example: A consistency score of 8/10 indicates the month has exhibited recognizable patterns with relatively low deviation What Best Means: Shows the highest percentage return achieved for that specific month, along with the year it occurred Reveals the maximum observed upside and identifies outlier years with exceptional performance Useful for understanding the range of possible outcomes beyond the average Example: "Best: 2016: +131.90%" means the strongest January in the dataset was in 2016 with an 131.90% gain What Worst Means: Shows the most negative percentage return for that specific month, along with the year it occurred Reveals maximum observed downside and helps understand the range of historical outcomes Important for risk assessment even in months with positive averages Example: "Worst: 2022: -26.86%" means the weakest January in the dataset was in 2022 with a 26.86% loss 2. Day-of-Week Heatmap How % Return is Calculated: Calculates the percentage change from the previous day's close to the current day's price (based on user's price source selection) Returns are aggregated by day of the week within each calendar month (e.g., all Mondays in January, all Tuesdays in January, etc.) Each cell shows the average performance for that specific day-month combination across all historical data Formula: (Current Day Price - Previous Day Close) / Previous Day Close × 100 What Averages Mean: The "Avg %" row at the bottom aggregates all months together to show the overall average return for each weekday Identifies broad weekly patterns across the entire dataset Calculated by summing all daily returns for that weekday across all months and dividing by total observations Example: If Monday shows +0.04%, Mondays have averaged a 0.04% change across all months in the dataset What Days Up % Mean: Shows the percentage of historical occurrences where that weekday had a positive return Calculated as: (Number of Positive Days / Total Days Observed) × 100 Values above 50% indicate the day has been positive more often than negative; below 50% indicates more frequent negative days Example: If Fridays show "54%", then 54% of all Fridays in the dataset had positive returns What Consistency Score Means: A 1-10 rating measuring how stable that weekday's performance has been across different months Based on the coefficient of variation of daily returns for that weekday across all 12 months High scores (8-10, green): The weekday has shown relatively consistent behavior month-to-month Medium scores (5-7, gray): Moderate consistency with some month-to-month variation Low scores (1-4, red): High variability across months, with behavior differing significantly by calendar month Example: A consistency score of 7/10 for Wednesdays means they have performed with moderate consistency throughout the year What Best Means: Shows which calendar month had the strongest average performance for that specific weekday Identifies favorable day-month combinations based on historical data Format shows the month abbreviation and the average return achieved Example: "Best: Oct: +0.20%" means Mondays averaged +0.20% during October months in the dataset What Worst Means: Shows which calendar month had the weakest average performance for that specific weekday Identifies historically challenging day-month combinations Useful for understanding which month-weekday pairings have shown weaker performance Example: "Worst: Sep: -0.35%" means Tuesdays averaged -0.35% during September months in the dataset 3. Optimal Timing Table/Summary Table → Best Month to BUY: Identifies the month with the lowest average return (most negative or least positive historically), representing periods where prices have historically been relatively lower Based on the observation that buying during historically weaker months may position for subsequent recovery Shows the month name, its average return, and color-coded performance Example: If May shows -0.86% as "Best Month to BUY", it means May has historically averaged -0.86% in the analyzed period → Best Month to SELL: Identifies the month with the highest average return (most positive historically), representing periods where prices have historically been relatively higher Based on historical strength patterns in that month Example: If July shows +1.42% as "Best Month to SELL", it means July has historically averaged +1.42% gains → 2nd Best Month to BUY: The second-lowest performing month based on average returns Provides an alternative timing option based on historical patterns Offers flexibility for staged entries or when the primary month doesn't align with strategy Example: Identifies the next-most favorable historical buying period → 2nd Best Month to SELL: The second-highest performing month based on average returns Provides an alternative exit timing based on historical data Useful for staged profit-taking or multiple exit opportunities Identifies the secondary historical strength period Note: The same logic applies to "Best Day to BUY/SELL" and "2nd Best Day to BUY/SELL" rows, which identify weekdays based on average daily performance across all months. Days with lowest averages are marked as buying opportunities (historically weaker days), while days with highest averages are marked for selling (historically stronger days). 🟢 Examples Example 1: NVIDIA NASDAQ:NVDA - Strong May Pattern with High Consistency Analyzing NVIDIA from 2015 onwards, the Monthly Heatmap reveals May averaging +15.84% with 82% of months being positive and a consistency score of 8/10 (green). December shows -1.69% average with only 40% of months positive and a low 1/10 consistency score (red). The Optimal Timing table identifies December as "Best Month to BUY" and May as "Best Month to SELL." A trader recognizes this high-probability May strength pattern and considers entering positions in late December when prices have historically been weaker, then taking profits in May when the seasonal tailwind typically peaks. The high consistency score in May (8/10) provides additional confidence that this pattern has been relatively stable year-over-year. Example 2: Crypto Market Cap CRYPTOCAP:TOTALES - October Rally Pattern An investor examining total crypto market capitalization notices September averaging -2.42% with 45% of months positive and 5/10 consistency, while October shows a dramatic shift with +16.69% average, 90% of months positive, and an exceptional 9/10 consistency score (blue). The Day-of-Week heatmap reveals Mondays averaging +0.40% with 54% positive days and 9/10 consistency (blue), while Thursdays show only +0.08% with 1/10 consistency (yellow). The investor uses this multi-layered analysis to develop a strategy: enter crypto positions on Thursdays during late September (combining the historically weak month with the less consistent weekday), then hold through October's historically strong period, considering exits on Mondays when intraweek strength has been most consistent. Example 3: Solana BINANCE:SOLUSDT - Extreme January Seasonality A cryptocurrency trader analyzing Solana observes an extraordinary January pattern: +59.57% average return with 60% of months positive and 8/10 consistency (teal), while May shows -9.75% average with only 33% of months positive and 6/10 consistency. August also displays strength at +59.50% average with 7/10 consistency. The Optimal Timing table confirms May as "Best Month to BUY" and January as "Best Month to SELL." The Day-of-Week data shows Sundays averaging +0.77% with 8/10 consistency (teal). The trader develops a seasonal rotation strategy: accumulate SOL positions during May weakness, hold through the historically strong January period (which has shown this extreme pattern with reasonable consistency), and specifically target Sunday exits when the weekday data shows the most recognizable strength pattern.
อินดิเคเตอร์ Pine Script®
โดย QuantAlgo
2
HTF Candle Highs and Lows with Labels + High Probability Signals█ OVERVIEW This indicator overlays Weekly, Daily, and H4 High/Low levels directly onto your chart, allowing traders to visualize key support and resistance zones from higher timeframes. It also includes high probability breakout signals that appear one candle after a confirmed breakout above or below these levels, filtered by volume and candle strength. Use this tool to identify breakout opportunities with greater confidence and clarity. █ FEATURES • Plots Weekly, Daily, and H4 High and Low levels using request.security. • Customizable line colors, widths, and label sizes. • Toggle visibility for each timeframe independently. • Signals appear one candle after a confirmed breakout:   • Bullish: Close above HTF High, strong candle, high volume.   • Bearish: Close below HTF Low, strong candle, high volume. • Signal shapes match the color of the broken level for visual clarity. █ HOW TO USE 1 — Enable the timeframes you want to track using the input toggles. 2 — Watch for triangle-shaped signals:   • Upward triangle = Bullish breakout.   • Downward triangle = Bearish breakout. 3 — Confirm the breakout:   • Candle closes beyond the HTF level by at least 0.1%.   • Candle body shows momentum (close > open for bullish, close < open for bearish).   • Volume exceeds 20-period average. 4 — Enter trade on the candle after the signal. 5 — Use the HTF level as a reference for stop-loss placement. 6 — Combine with other indicators (e.g., RSI, EMA) for confluence. █ LIMITATIONS • Signals may lag by one candle due to confirmation logic. • Not optimized for low-volume assets or illiquid markets. • Best used in trending environments; avoid during consolidation. • Does not include automatic alerts (can be added manually). █ BEST PRACTICES • Use on H1 or higher timeframes for cleaner signals. • Avoid trading during news events or low volatility. • Backtest thoroughly before live trading. • Adjust breakout percentage and volume filter based on asset volatility. • Maintain a trading journal to track performance.
อินดิเคเตอร์ Pine Script®
โดย DayTraderz365
Opening Range IndicatorComplete Trading Guide: Opening Range Breakout Strategy What Are Opening Ranges? Opening ranges capture the high and low prices during the first few minutes of market open. These levels often act as key support and resistance throughout the trading day because: Heavy volume occurs at market open as overnight orders execute Institutional activity is concentrated during opening minutes Price discovery happens as market participants react to overnight news Psychological levels are established that traders watch all day Understanding the Three Timeframes OR5 (5-Minute Range: 9:30-9:35 AM) Most sensitive - captures immediate market reaction Quick signals but higher false breakout rate Best for scalping and momentum trading Use for early entry when conviction is high OR15 (15-Minute Range: 9:30-9:45 AM) Balanced approach - most popular among day traders Moderate sensitivity with better reliability Good for swing trades lasting several hours Primary timeframe for most strategies OR30 (30-Minute Range: 9:30-10:00 AM) Most reliable but slower signals Lower false breakout rate Best for position trades and trend following Use when looking for major moves Core Trading Strategies Strategy 1: Basic Breakout Setup: Wait for price to break above OR15 high or below OR15 low Enter on the breakout candle close Stop loss: Opposite side of the range Target: 2-3x the range size Example: OR15 range: $100.00 - $102.00 (Range = $2.00) Long entry: Break above $102.00 Stop loss: $99.50 (below OR15 low) Target: $104.00+ (2x range size) Strategy 2: Multiple Confirmation Setup: Wait for OR5 break first (early signal) Confirm with OR15 break in same direction Enter on OR15 confirmation Stop: Below OR30 if available, or OR15 opposite level Why it works: Multiple timeframe confirmation reduces false signals and increases probability of sustained moves. Strategy 3: Failed Breakout Reversal Setup: Price breaks OR15 level but fails to hold Wait for re-entry into the range Enter reversal trade toward opposite OR level Stop: Recent breakout high/low Target: Opposite side of range + extension Key insight: Failed breakouts often lead to strong moves in the opposite direction. Advanced Techniques Range Quality Assessment High-Quality Ranges (Trade these): Range size: 0.5% - 2% of stock price Clean boundaries (not choppy) Volume spike during range formation Clear rejection at range levels Low-Quality Ranges (Avoid these): Very narrow ranges (<0.3% of stock price) Extremely wide ranges (>3% of stock price) Choppy, overlapping candles Low volume during formation Volume Confirmation For Breakouts: Look for volume spike (2x+ average) on breakout Declining volume often signals false breakout Rising volume during range formation shows interest Market Context Filters Best Conditions: Trending market days (SPY/QQQ with clear direction) Earnings reactions or news-driven moves High-volume stocks with good liquidity Volatility above average (VIX considerations) Avoid Trading When: Extremely low volume days Major economic announcements pending Holidays or half-days Choppy, sideways market conditions Risk Management Rules Position Sizing Conservative: Risk 0.5% of account per trade Moderate: Risk 1% of account per trade Aggressive: Risk 2% maximum per trade Stop Loss Placement Inside the range: Quick exit but higher stop-out rate Outside opposite level: More room but larger risk ATR-based: 1.5-2x Average True Range below entry Profit Taking Target 1: 1x range size (take 50% off) Target 2: 2x range size (take 25% off) Runner: Trail remaining 25% with moving stops Specific Entry Techniques Breakout Entry Methods Method 1: Immediate Entry Enter as soon as price closes above/below range Fastest entry but highest false signal rate Best for strong momentum situations Method 2: Pullback Entry Wait for breakout, then pullback to range level Enter when price bounces off former resistance/support Better risk/reward but may miss some moves Method 3: Volume Confirmation Wait for breakout + volume spike Enter after volume confirmation candle Reduces false signals significantly Multiple Timeframe Entries Aggressive: OR5 break → immediate entry Conservative: OR5 + OR15 + OR30 all align → enter Balanced: OR15 break with OR30 support → enter Common Mistakes to Avoid 1. Trading Poor-Quality Ranges ❌ Don't trade ranges that are too narrow or too wide ✅ Focus on clean, well-defined ranges with good volume 2. Ignoring Volume ❌ Don't chase breakouts without volume confirmation ✅ Always check for volume spike on breakouts 3. Over-Trading ❌ Don't force trades when ranges are unclear ✅ Wait for high-probability setups only 4. Poor Risk Management ❌ Don't risk more than planned or use tight stops in volatile conditions ✅ Stick to predetermined risk levels 5. Fighting the Trend ❌ Don't fade breakouts in strongly trending markets ✅ Align trades with overall market direction Daily Trading Routine Pre-Market (8:00-9:30 AM) Check overnight news and earnings Review major indices (SPY, QQQ, IWM) Identify potential opening range candidates Set alerts for range breakouts Market Open (9:30-10:00 AM) Watch opening range formation Note volume and price action quality Mark key levels on charts Prepare for breakout signals Trading Session (10:00 AM - 4:00 PM) Execute breakout strategies Manage existing positions Trail stops as profits develop Look for additional setups Post-Market Review Analyze winning and losing trades Review range quality vs. outcomes Identify improvement areas Prepare for next session Best Stocks/ETFs for Opening Range Trading Large Cap Stocks (Best for beginners): AAPL, MSFT, GOOGL, AMZN, TSLA High liquidity, predictable behavior Good range formation most days ETFs (Consistent patterns): SPY, QQQ, IWM, XLF, XLE Excellent liquidity Clear range boundaries Mid-Cap Growth (Advanced traders): Stocks with good volume (1M+ shares daily) Recent news catalysts Clean technical patterns Performance Optimization Track These Metrics: Win rate by range type (OR5 vs OR15 vs OR30) Average R/R (risk vs reward ratio) Best performing market conditions Time of day performance Continuous Improvement: Keep detailed trade journal Review failed breakouts for patterns Adjust position sizing based on win rate Refine entry timing based on backtesting Final Tips for Success Start small - Paper trade or use tiny positions initially Focus on quality - Better to miss trades than take bad ones Stay disciplined - Stick to your rules even during losing streaks Adapt to conditions - What works in trending markets may fail in choppy conditions Keep learning - Markets evolve, so should your approach The opening range strategy is powerful because it captures natural market behavior, but like all strategies, it requires practice, discipline, and proper risk management to be profitable long-term.
อินดิเคเตอร์ Pine Script®
โดย Prospecttrades
All Levels This script draws key price levels on your chart, including: • Previous Day (PD): High, Low, Close • Day Before Yesterday (DBY): High, Low, Close • Pre-Market (PM): High and Low • Today’s levels: High, Low, Open, Close • Current bar levels: High, Low, Open, Close Each level is displayed as a horizontal line with a label showing the level value. It works on any timeframe, including 1-minute charts, and automatically updates as new bars form. ⸻ 2. Features 1. Custom Colors Each type of level has its own color, declared as a const color. For example: • Previous Day High = red • Today’s Close = gold • Pre-Market High = fuchsia 2. Right-Extending Lines All horizontal levels extend to the right, so you always see them on the chart. 3. Persistent Labels Every line has a label at the right side showing its name and price. For example: • PDH 422 • TODL 415.5 4. Dynamic Updates The script updates automatically whenever a new bar forms, so levels stay accurate. 5. Session-Based Pre-Market You can define the pre-market session (default “04:00–09:30 EST”). The script calculates the high and low of this session only. 6. Checkbox Inputs You can enable/disable entire groups of levels: • Previous Day • Day Before Yesterday • Pre-Market • Today • Current bar
อินดิเคเตอร์ Pine Script®
โดย nasdaq_girl
Session Levels [odnac]This indicator plots the high and low levels of the three main trading sessions—Asia, Europe, and New York—along with the previous day’s high, low, and open. Each session’s time range can be customized using a UTC offset, and the indicator automatically tracks session highs and lows as price develops. Functions: Plots session highs and lows for Asia, Europe, and New York. Shows previous day’s high, low, and open as reference levels. Session times are fully configurable with hour and minute precision, including UTC offset adjustment. Each session level is marked with both a line and a label for clarity. Color customization for each session and previous day levels. Designed for intraday timeframes (1–60 minutes). Filter Condition: When the filter option is enabled, the indicator adjusts how levels are drawn: A session high above the current close is displayed as a solid line with a visible label. Once price closes above that high, the line becomes dotted and dimmed, and the label also becomes less emphasized. Similarly, a session low below the current close is displayed as a solid line and label. If price closes below that low, the line switches to dotted and dimmed, with the label adjusted accordingly. This behavior highlights only the most relevant levels for the current market position while still keeping breached levels visible in a subdued style, making it easier to spot active breakout or liquidity zones.
อินดิเคเตอร์ Pine Script®
โดย odnac
Smart Structure Breaks & Order BlocksOverview (What it does) The indicator “Smart Structure Breaks & Order Blocks” detects market structure using swing highs and lows, identifies Break of Structure (BOS) events, and automatically draws order blocks (OBs) from the origin candle. These zones extend to the right and change color/outline when mitigated or invalidated. By formalizing and automating part of discretionary analysis, it provides consistent zone recognition. Main Components Swing Detection: ta.pivothigh/ta.pivotlow identify confirmed swing points. BOS Detection: Determines if the recent swing high/low is broken by close (strict mode) or crossover. OB Creation: After a BOS, the opposite candle (bearish for bullish BOS, bullish for bearish BOS) is used to generate an order block zone. Zone Management: Limits the number of zones, extends them to the right, and tracks tagged (mitigated) or invalidated states. Input Parameters Left/Right Pivot (default 6/6): Number of bars required on each side to confirm a swing. Higher values = smoother swings. Max Zones (default 4): Maximum zones stored per direction (bull/bear). Oldest zones are overwritten. Zone Confirmation Lookback (default 3): Ensures OB origin candle validity by checking recent highs/lows. Show Swing Points (default ON): Displays triangles on swing highs/lows. Require close for BOS? (default ON): Strict BOS (close required) vs loose BOS (line crossover). Use candle body for zones (default OFF): Zones drawn from candle body (ON) or wick (OFF). Signal Definition & Logic Swing Updates: Latest confirmed pivots update lastHighLevel / lastLowLevel. BOS (Break of Structure): 　Bullish – close breaks last swing high. 　Bearish – close breaks last swing low. 　Only one valid BOS per swing (avoids duplicates). OB Detection: 　Bullish BOS → previous bearish candle with lowest low forms the OB. 　Bearish BOS → previous bullish candle with highest high forms the OB. 　Zones: Bull = green, Bear = red, semi-transparent, extended to the right. Zone States: 　Mitigated: Price touches the zone → border highlighted. 　Invalidated: 　　Bull zone → close below → turns red. 　　Bear zone → close above → turns green. Chart Appearance Swing High: red triangle above bar Swing Low: green triangle below bar Bull OB: green zone (border highlighted on touch) Bear OB: red zone (border highlighted on touch) Invalid Zones: Bull zones turn reddish, Bear zones turn greenish Practical Use (Trading Assistance) Trend Following Entries: Buy pullbacks into green OBs in uptrends, sell rallies into red OBs in downtrends. Focus on First Touch: First mitigation after BOS often has higher reaction probability. Confluence: Combine with higher timeframe trend, volume, session levels, key price levels (previous highs/lows, VWAP, etc.). Stops/Targets: 　Bull – stop below zone, partial take profit at swing high or resistance. 　Bear – stop above zone, partial take profit at swing low or support. Parameter Tuning (per market/timeframe) Pivot (6/6 → 4/4/8/8): Lower for scalping (3–5), medium for day trading (5–8), higher for swing trading (8–14). Increase to reduce noise. Strict Break: ON to reduce false breaks in ranging markets; OFF for earlier signals. Body Zones: ON for assets with long wicks, OFF for cleaner OBs in liquid instruments. Zone Confirmation (default 3): Increase for stricter OB origin, fewer zones. Max Zones (default 4 → 6–10): Increase for higher volatility, decrease to avoid clutter. Strengths Standardizes BOS and OB detection that is usually subjective. Tracks mitigation and invalidation automatically. Adaptable: allows body/wick zone switching for different instruments. Limitations Pivot-based: Signals appear only after pivots confirm (slight lag). Zones reflect past balance: Can fail after new events (news, earnings, macro data). Range-heavy markets: More false BOS; consider stricter settings. Backtesting: This script is for drawing/visual aid; trading rules must be defined separately. Workflow Example Identify higher timeframe trend (4H/Daily). On lower TF (15–60m), wait for BOS and new OB. Enter on first mitigation with confirmation candle. Stop beyond zone; targets based on R multiples and swing points. FAQ Q: Why are zones invalidated quickly? A: Flow reversal after BOS. Adjust pivots higher, enable Strict mode, or switch to Body zones to reduce noise. Q: What does “tagged” mean? A: Price touched the zone once = mitigated. Implies some orders in that zone may have been filled. Q: Body or Wick zones? A: Wick zones are fine in clean markets. For volatile pairs with long wicks, body zones provide more realistic areas. Customization Tips (Code perspective) Zone storage: Currently ring buffer ((idx+1) % zoneLimit). Could prioritize keeping unmitigated zones. Automated testing: Add strategy.entry/exit for rule-based backtests. Multi-timeframe: Use request.security() for higher timeframe swings/BOS. Visualization: Add labels for BOS bars, tag zones with IDs, count touches. Summary This indicator formalizes the cycle Swing → BOS → OB creation → Mitigation/Invalidation, providing consistent structure analysis and zone tracking. By tuning sensitivity and strictness, and combining with higher timeframe context, it enhances pullback/continuation trading setups. Always combine with proper risk management.
อินดิเคเตอร์ Pine Script®
โดย PakunFX
Ai Golden Support and Resistance Adaptive Support & Resistance (ADR-scaled ABCD + Breakout/Retest Zones) What it does This indicator detects actionable support/resistance zones from swing structure and breakout events, then keeps each zone active until it’s invalidated by price. It adapts zone sensitivity using Average Daily Range (ADR) so the same rules scale across symbols and vol regimes. Core Logic (high level) Swing & ABCD pattern seed Detects alternating pivots (high–low–high–low or low–high–low–high) using a user-selected lookback. Validates basic AB–BC–CD proportions: BC must retrace a portion of AB; CD must extend BC within a set range. From a valid sequence, sets a candidate level (top for bearish, bottom for bullish). Breakout confirmation A level becomes confirmed when price closes beyond it (crossover/crossunder). On confirmation, the script draws a dotted reference line and records how many bars elapsed from the seed pivot to breakout. That count defines the lookback window used for local extremes. Zone construction Supply (bearish): builds a box around the most recent local range near the bearish seed; Demand (bullish): builds a box around the most recent local range near the bullish seed. Each zone’s height is derived from nearby extremes and the seed swing, so boxes reflect local structure rather than fixed pip widths. Volatility normalization (ADR%) ADR is computed from daily candles. The Risk Profile input (“High/Medium/Low”) scales required move sizes using ADR%, and adjusts pivot sensitivity (fewer/more bars). Higher risk → more sensitive (smaller ADR %, tighter pivot lookback). Lower risk → stricter filters (larger ADR %, wider pivot lookback). Explosive-move filter (streak logic) Searches the seeded lookback for consecutive same-color candles (config via the risk profile). Requires the cumulative % move of that streak to exceed an ADR-scaled threshold. When found, the zone is tagged as originating from an “explosive” move (potentially higher reaction probability). Zone persistence & invalidation Zones persist and auto-extend to the right until invalidated. Invalidation occurs when price closes through a rule-based threshold derived from the seed structure (stored per zone). Once invalidated, the zone is marked inactive and stops updating. Inputs & Controls Risk Profile: High / Medium / Low (sets pivot lookback, streak length, and ADR% thresholds). Labels & Visuals: Toggle labels and level lines; set line width. Colors/Boxes: Supply (red), Demand (green); dotted breakout references. No broker/session settings are required; the script adapts per symbol via ADR. On-Chart Elements Dotted breakout lines at confirmed levels (with measured bars-to-breakout). Supply/Demand boxes that extend until invalidation. Optional labels for clarity; minimal clutter by default. How to Use Context: Use higher-TF context for bias; apply zones on your trading TF. Confluence: Combine zones with your own triggers (structure breaks, rejection wicks, momentum shifts). Invalidation: If price closes beyond a zone’s invalidation threshold, treat that zone as inactive. Sensitivity: If too many zones appear, switch to Medium/Low Risk (stricter ADR% & pivots); if too few, use High Risk. Notes & Limitations Logic is rule-based; there is no machine learning. Daily ADR is computed from D timeframe, so intraday charts inherit daily volatility context. Results vary by symbol and timeframe; validate settings per market. This is an indicator (no orders or P/L).
อินดิเคเตอร์ Pine Script®
โดย GoldenCryptoSignals
Session Seed Range (LON / FRA / NY / CME / ASIA + 3 Custom) — v6Session Seed Range → Lines (LON / FRA / NY / CME / ASIA + 3 Custom) What it does This tool draws two horizontal levels—the High and Low of a short seed window at each market open (e.g., London 09:00–09:05)—and extends them to the session close (e.g., 17:30). An optional Mid line (average of seed High/Low) can be displayed as well. Included sessions • London, Frankfurt, New York, CME, Asia • Plus 3 fully custom sessions (name, seed window, session end) Key features • Seed window → extended lines: Capture the initial opening move and project it across the trading session. • Timezone dropdown: Choose from common IANA timezones (incl. Europe/Istanbul)—no manual offset math. • Label language: DE / EN / TR (or Off) for price labels at the right edge. • Show/Hide Mid line per your preference. • 3 custom sessions: Add your own schedules with custom names. • Per-session styling: Colors and widths for High/Low/Mid. • Lightweight: Works on any timeframe. ________________________________________ Quick start 1. Pick your Timezone in the Inputs. 2. Enable a session (e.g., London) and set its Seed (HHMM–HHMM) and Session End (HHMM). 3. Optionally turn on Show mid line and Labels (DE/EN/TR). 4. Repeat for other sessions or use the Custom A/B/C blocks. Tip: The seed window must be visible on the chart’s timeframe so the High/Low can be collected. If you don’t see lines, zoom in or use a lower timeframe. ________________________________________ Inputs overview • Timezone: IANA timezone selection. • Labels: Off / DE / EN / TR + label offset (ticks). • Show mid line: Toggle Mid (average of seed High/Low). • Session blocks (London, Frankfurt, New York, CME, Asia, Custom A/B/C): o Enable, Seed (HHMM–HHMM), Session End (HHMM) o High/Low/Mid colors, Width ________________________________________ Notes & limitations • Lines are built from the seed window only; they do not repaint once the seed completes. • If the chart timeframe is too high to include the seed window, switch to a lower TF or widen the seed. • This indicator is for analysis/education only and not financial advice. ________________________________________ Changelog (suggested) • v1.0.0 — Initial release: LON/FRA/NY/CME/ASIA + 3 Custom, TZ dropdown, labels DE/EN/TR, Mid toggle. ________________________________________ If you want a shorter “store blurb” version, use: Draws High/Low of a small opening seed window (e.g., London 09:00–09:05) and extends them to session close. Includes London, Frankfurt, New York, CME, Asia + 3 custom sessions. Timezone dropdown (incl. Europe/Istanbul), labels in DE/EN/TR (or Off), optional Mid line, per-session styling. Seed window must be visible on your timeframe. Not financial advice.
อินดิเคเตอร์ Pine Script®
โดย ayhan_yuecel
Essa - Market Structure Crystal Ball SystemEssa - Market Structure Crystal Ball V2.0 Ever wished you had a glimpse into the market's next move? Stop guessing and start anticipating with the Market Structure Crystal Ball! This isn't just another indicator that tells you what has happened. This is a comprehensive analysis tool that learns from historical price action to forecast the most probable future structure. It combines advanced pattern recognition with essential trading concepts to give you a unique analytical edge. Key Features The Predictive Engine (The Crystal Ball) This is the core of the indicator. It doesn't just identify market structure; it predicts it. Know the Odds: Get a real-time probability score (%) for the next structural point: Higher High (HH), Higher Low (HL), Lower Low (LL), or Lower High (LH). Advanced Analysis: The engine considers the pattern sequence, the speed (velocity) of the move, and its size to find the most accurate historical matches. Dynamic Learning: The indicator constantly updates its analysis as new price data comes in. The All-in-One Dashboard Your command center for at-a-glance information. No need to clutter your screen! Market Phase: Instantly know if the market is in a "🚀 Strong Uptrend," "📉 Steady Downtrend," or "↔️ Consolidation." Live Probabilities: See the updated forecasts for HH, HL, LL, and LH in a clean, easy-to-read format. Confidence Level: The dashboard tells you how confident the algorithm is in its current prediction (Low, Medium, or High). 🎯 Dynamic Prediction Zones Turn probabilities into actionable price areas. Visual Targets: Based on the highest probability outcome, the indicator draws a target zone on your chart where the next structure point is likely to form. Context-Aware: These zones are calculated using recent volatility and average swing sizes, making them adaptive to the current market conditions. 🔍 Fair Value Gap (FVG) Detector Automatically identify and track key price imbalances. Price Magnets: FVGs are automatically detected and drawn, acting as potential targets for price. Smart Tracking: The indicator tracks the status of each FVG (Fresh, Partially Filled, or Filled) and uses this data to refine its predictions. 🌍 Trading Session Analysis Never lose track of key session levels again. Visualize Sessions: See the Asia, London, and New York sessions highlighted with colored backgrounds. Key Levels: Automatically plots the high and low of each session, which are often critical support and resistance levels. Breakout Alerts: Get notified when price breaks a session high or low. 📈 Multi-Timeframe (MTF) Context Understand the bigger picture by integrating higher timeframe analysis directly onto your chart. BOS & MSS: Automatically identifies Breaks of Structure (trend continuation) and Market Structure Shifts (potential reversals) from up to two higher timeframes. Trade with the Trend: Align your intraday trades with the dominant trend for higher probability setups. ⚙️ How It Works in Simple Terms 1️⃣ It Learns: The indicator first identifies all the past swing points (HH, HL, LL, LH) and analyzes their characteristics (speed, size, etc.). 2️⃣ It Finds a Match: It looks at the most recent price action and searches through hundreds of historical bars to find moments that were almost identical. 3️⃣ It Analyzes the Outcome: It checks what happened next in those similar historical scenarios. 4️⃣ It Predicts: Based on that historical data, it calculates the probability of each potential outcome and presents it to you. 🚀 How to Use This Indicator in Your Trading Confirmation Tool: Use a high probability score (e.g., >60% for a HH) to confirm your own bullish analysis before entering a trade. Finding High-Probability Zones: Use the Prediction Zones as potential areas to take profit, or as reversal zones to watch for entries in the opposite direction. Gauging Market Sentiment: Check the "Market Phase" on the dashboard. Avoid forcing trades when the indicator shows "😴 Low Volatility." Confluence is Key: This indicator is incredibly powerful when combined with your existing strategy. Use it alongside supply/demand zones, moving averages, or RSI for ultimate confirmation. We hope this tool gives you a powerful new perspective on the market. Dive into the settings to customize it to your liking! If you find this indicator helpful, please give it a Boost 👍 and leave a comment with your feedback below! Happy trading! Disclaimer: All predictions are probabilistic and based on historical data. Past performance is not indicative of future results. Always use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย Essa02
2
Globex Overnight Futures ORB with FIB's by TenAMTrader📌 Globex Overnight Futures ORB with FIB’s – by TenAMTrader This indicator is designed for futures traders who want to track the Globex Overnight Opening Range (ORB) and apply Fibonacci projections to anticipate potential support/resistance zones. It’s especially useful for traders who follow overnight sessions (such as ES, NQ, CL) and want to map out key levels before the U.S. regular session begins. ⚙️ How It Works Primary Range (ORB): You define a start and end time (default set to 18:00 – 18:15 EST). During this period, the script tracks the session high, low, and midpoint. Opening Range Plots: High Line (green) Low Line (red) Midpoint Line (yellow) A shaded cloud between High–Mid and Mid–Low for easy visualization. Fibonacci Projections: Once the ORB is complete, the script calculates a full suite of Fibonacci retracements and extensions (e.g., 0.236, 0.382, 0.618, 1.0, 1.618, 2.0). Standard key levels (0.618, 0.786, 1.0, etc.) are always shown if enabled. Optional extended levels (1.236, 1.382, 1.5, 2.0, etc.) can be toggled on/off. "Between Range" fibs (such as 0.382 and 0.618 inside the ORB) are also available for traders who like intra-range precision. 🔧 User Settings Time Inputs: Choose your ORB start/end time. Color Controls: Customize high, low, midpoint, and fib line colors. Display Toggles: Turn on/off High, Low, Midpoint lines and Fibonacci projections. Fib Extensions Toggle: Decide whether to show only major fibs or all extensions. Alerts (Optional): Alerts can be set for crossing the ORB High, Low, or Midpoint. 📊 Practical Use Cases Breakout Traders: Use the ORB high/low as breakout triggers. Mean Reversion Traders: Watch for rejections near fib extension levels. Overnight Futures Monitoring: Track Globex behavior to prepare for RTH open. Risk Management: ORB and Fib levels make for natural stop/target placement zones. ⚠️ Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading recommendations. Trading futures involves substantial risk of loss and may not be suitable for all investors. Always do your own due diligence and consult with a licensed financial professional before making trading decisions.
อินดิเคเตอร์ Pine Script®
โดย TenAM_Trader
Key Indicators Dashboard (KID)Key Indicators Dashboard (KID) — Comprehensive Market & Trend Metrics 📌 Overview The Key Indicators Dashboard (KID) is an advanced multi-metric market analysis tool designed to consolidate essential technical, volatility, and relative performance data into a single on-chart table. Instead of switching between multiple indicators, KID centralizes these key measures, making it easier to assess a stock’s technical health, volatility state, trend status, and relative strength at a glance. 🛠 Key Features ⦿ Average Daily Range (ADR %): Measures average daily price movement over a specified period. It is calculated by averaging the daily price range (high - low) over a set number of days (default 20 days). ⦿ Average True Range (ATR): Measures volatility by calculating the average of a true range over a specific period (default 14). It helps traders gauge the typical extent of price movement, regardless of the direction. ⦿ ATR%: Expresses the Average True Range as a percentage of the price, which allows traders to compare the volatility of stocks with different prices. ⦿ Relative Strength (RS): Compares a stock’s performance to a chosen benchmark index (default NIFTYMIDSML400) over a specific period (default 50 days). ⦿ RS Score (IBD-style): A normalized 1–100 rating inspired by Investor’s Business Daily methodology. How it works: The RS Score is based on a weighted average of price changes over 3 months (40%), 6 months (20%), 9 months (20%), and 12 months (20%). The raw value is converted into a percentage return, then normalized over the past 252 trading days so the lowest value maps to 1 and the highest to 100. This produces a percentile-style score that highlights the strongest stocks in relative terms. ⦿ Relative Volume (RVol): Compares a stock's current volume to its average volume over a specific period (default 50). It is calculated by dividing the current volume by the average historical volume. ⦿ Average ₹ Volume (Turnover): Represents the total monetary value of shares traded for a stock. It's calculated by multiplying a day's closing price by its volume, with the final value converted to crores for clarity. This metric is a key indicator of a stock's liquidity and overall market interest. ⦿ Moving Average Extension: Measures how far a stock's current price has moved from from a selected moving average (EMA or SMA). This deviation is normalized by the stock's volatility (ATR%), with a default threshold of 6 ATR used to indicate that the stock is significantly extended and is marked with a selected shape (default Red Flag). ⦿ 52-Weeks High & Low: Measures a stock's current price in relation to its highest and lowest prices over the past year. It calculates the percentage a stock is below its 52-week high and above its 52-week low. ⦿ Market Capitalization: Market Cap represents the total value of all outstanding. ⦿ Free Float: It is the value of shares readily available for public trading, with the Free Float Percentage showing the proportion of shares available to the public. ⦿ Trend: Uses Supertrend indicator to identify the current trend of a stock's price. A factor (default 3) and an ATR period (default 10) is used to signal whether the trend is up or down. ⦿ Minervini Trend Template (MTT): It is a set of technical criteria designed to identify stocks in strong uptrends. Price > 50-DMA > 150-DMA > 200-DMA 200-DMA is trending up for at least 1 month Price is at least 30% above its 52-week low. Price is within at least 25 percent of its 52-week high Table highlights when a stock meets all above criteria. ⦿ Sector & Industry: Display stock's sector and industry, provides categorical classification to assist sector-based analysis. The sector is a broad economic classification, while the industry is a more specific group within that sector. ⦿ Moving Averages (MAs): Plot up to four customizable Moving Averages on a chart. You can independently set the type (Simple or Exponential), the source price, and the length for each MA to help visualize a stock's underlying trend. MA1: Default 10-EMA MA2: Default 20-EMA MA3: Default 50-EMA MA4: Default 200-EMA ⦿ Moving Average (MA) Crossover: It is a trend signal that occurs when a shorter-term moving average crosses a longer-term one. This script identifies these crossover events and plots a marker on the chart to visually signal a potential change in trend direction. User-configurable MAs (short and long). A bullish crossover occurs when the short MA crosses above the long MA. A bearish crossover occurs when the short MA crosses below the long MA. ⦿ Inside Bar (IB): An Inside Bar is a candlestick whose entire price range is contained within the range of the previous bar. This script identifies this pattern, which often signals consolidation, and visually marks bullish and bearish inside bars on the chart with distinct colors and labels. ⦿ Tightness: Identifies periods of low volatility and price consolidation. It compares the price range over a short lookback period (default 3) to the average daily range (ADR). When the lookback range is smaller than the ADR, the indicator plots a marker on the chart to signal consolidation. ⦿ PowerBar (Purple Dot): Identifies candles with a strong price move on high volume. By default, it plots a purple dot when a stock moves up or down by at least 5% and has a minimum volume of 500,000. More dots indicate higher volatility and liquidity. ⦿ Squeezing Range (SQ): Identifies periods of low volatility, which can often precede a significant price move. It checks if the Bollinger Bands have narrowed to a range that is smaller than the Average True Range (ATR) for a set number of consecutive bars (default 3). (UpperBB - LowerBB) < (ATR × 2) ⦿ Mark 52-Weeks High and Low: Marks and labels a stock's 52-Week High and Low prices directly on the chart. It draws two horizontal lines extending from the candles where the highest and lowest prices occurred over the past year, providing a clear visual reference for long-term price extremes. ⏳PineScreener Filters The indicator’s alert conditions act as filters for PineScreener. Price Filter: Minimum and maximum price cutoffs (default ₹25 - ₹10000). Daily Price Change Filter: Minimum and maximum daily percent change (default -5% and 5%). 🔔 Built-in Alerts Supports alert creation for: ADR%, ATR/ATR %, RS, RS Rating, Turnover Moving Average Crossover (Bullish/Bearish) Minervini Trend Template 52-Week High/Low Inside Bars (Bullish/Bearish) Tightness Squeezing Range (SQ) ⚙️ Customizable Visualization Switchable between vertical or horizontal layout. Works in dark/light mode User-configurable to toggle any indicator ON or OFF. User-configurable Moving (EMA/SMA), Period/Lengths and thresholds. ⦿ (Optional) : For horizontal table orientation increase Top Margin to 16% in Chart (Canvas) settings to avoid chart overlapping with table. ⚡ Add this script to your chart and start making smarter trade decisions today! 🚀
อินดิเคเตอร์ Pine Script®
โดย Byte2Bull
3
LANZ Strategy 7.0🔷 LANZ Strategy 7.0 — Multi-Session Breakout Logic with Midnight-Cross Support, Dynamic SL/TP, Multi-Account Lot Sizing & Real-Time Visual Tracking LANZ Strategy 7.0 is a robust, visually-driven trading indicator designed to capture high-probability breakouts from a customizable market session. It includes full support for sessions that cross midnight, dynamic calculation of Entry Price (EP), Stop Loss (SL) and Take Profit (TP) levels, and a multi-account lot sizing panel for precise risk management. The system is built to only trigger one trade per day and manages the full trade lifecycle with automated visual cleanup and detailed alerts. 📌 This is an indicator, not a strategy — it does not place trades automatically, but provides exact entry setups, SL/TP levels, risk-based lot size guidance, and real-time alerts for execution. 🧠 Core Logic & Features 🚀 Entry Signal (BUY/SELL) The trading day begins with a Decision Session (yellow box) where the high/low range is recorded. Once the Operative Session starts (blue zone), the first touch of the session’s high triggers a BUY setup, and the first touch of the session’s low triggers a SELL setup. Only one valid trade can be triggered per day — the system locks after the first signal. ⚙️ Dynamic Stop Loss & Take Profit SL levels are derived from the Decision Session high/low using customizable Fibonacci multipliers (independent for BUY and SELL). TP is dynamically calculated from the EP–SL distance using a user-defined Risk:Reward ratio (R:R). All EP, SL, and TP levels are drawn as independent lines with customizable colors, label text size, and style. ⏳ Session & Midnight-Cross Support Works with any custom Decision/Operative session hours, including sessions that start one day and end the next. Properly tracks time zones using New York session time for consistency. Includes Cutoff Time: after this limit, no new entries are allowed, and all visuals are auto-cleared if no trade was triggered. 💰 Multi-Account Risk-Based Lot Sizing Supports up to 5 independent accounts. Each account can have: Own capital Own risk percentage per trade Lot size is auto-calculated based on: SL distance (in pips or points) Pip value (auto-detected for Forex or manually set for indices/commodities) Results are displayed in a clean lot size info panel. 🖼️ Real-Time Visual Tracking Dynamic updates to all levels during the Decision Session. EP, SL, TP lines update if the session high/low changes before the Operative Session starts. Trade result labels: SL hit → “–1.00%” in red TP hit → “+X.XX%” in green Manual close at Operative End → shows actual % result in blue or purple. 🔔 Alerts for Every Key Event Session start notification EP entry triggered SL or TP hit Manual close at session end Missed entry due to cutoff 🧭 Execution Flow Decision Session (Yellow) — Capture high/low range. Operative Session (Blue) — First touch of high = BUY setup; first touch of low = SELL setup. Plot EP, SL, TP lines + calculate lot sizes for all active accounts. Track trade until SL, TP, or Operative End. If no entry triggered by Cutoff Time → clean all visuals and notify. 💡 Ideal For: Traders who operate breakout logic on specific sessions (NY, London, Asian, or custom). Those managing multiple accounts with strict risk per trade. Anyone trading assets with sessions crossing midnight. 👨‍💻 Credits: Developer: LANZ Logic Design: LANZ Built For: Multi-timeframe session breakouts with high precision. Purpose: One-shot trade per day, risk consistency, and total visual clarity.
อินดิเคเตอร์ Pine Script®
โดย rau_u_lanz