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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
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makit0 tarafından
64
MXKE | Swing Trader AssistIntroduction Swing Trader Assist indicator is designed to assist in the systematic identification of Hammers & Lookback signals within Uptrending markets, Stars & Lookback signals within Downtrending markets, and Mean Reversion signals within Sideways markets. The trader must first identify a strong market trend, then apply the indicator. Application of the indicator to weak trends will render equally weak signals. Application of the indicator to strong trends will render equally strong signals. Identification of strong trends is the responsibility of the individual trader and is instrumental to the successful deployment of this indicator and accompanying trading plan. *Please comment below to request access* *Please share with me on Twitter your usage and/or ideas for improvement so that I may improve this indicator in the future* Market Types Uptrend: Higher highs + Higher lows Downtrend: Lower highs + Lower lows Sideways: Higher highs + Lower lows (Expanding Range) or Lower highs + Higher lows (Narrowing Range) Position Sizing 1R = .25%-2% of total nominal capital dependent upon timeframe and risk appetite Order Types Entry: Buy Stop 1 tick above High of “Up” Signal Bars; Sell Stop 1 tick below Low of “Down” Signal Bars Stop: Bar Close <= 1 tick below Low of “Up” Signal Bar; Bar Close >= 1 tick above High of “Down” Signal Bar Profit Target: 1.5R distance from “Up” or “Down” fill level with the option to trail stop on each new swing high/low; Bollinger Band Midline minimum 1.5R distance from “Sideways” fill level with option to trail stop on continuation to the opposite end of the range (opposite Bollinger Band) Trading Plan ❑ Market Type is clearly identifiable as Up, Down or Sideways ❑ Swing Trader Assist indicator is set to the corresponding Market Type: Up, Down or Sideways ❑ Position size is no more than .25%-2% of total nominal capital (based on distance from Signal Bar fill level to Signal Bar stop level as 1R) ❑ Distance from Signal Bar fill level to potential Profit Target is minimum 1.5R ❑ On Hammer or Star fill: close position into trend extension at 1.5R+ or adjust trailing stop on each new swing high/low ❑ On Mean Reversion fill: close position at midline or adjust trailing stop on each continuation to opposite end of range Usage Notes The indicator will display developing signals intrabar and it is therefore suggested to wait until bar close to act on any signals. “Autodetect” setting under “Market Type” is currently in beta mode. While it is designed to reveal only relevant signals within strong trends based on a series of EMAs, this setting has not been extensively tested. Use with caution. The indicator is not meant to be a mechanical trading system. It is designed to assist the trader in objectively and systematically identifying signal bars during the execution of the below swing trading plan. It is up to the trader to determine if overall price action warrants acting upon the signal bars or not. Case Studies
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mikegyulai tarafından
190
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.
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casey_bowman tarafından
92
Non Parametric Adaptive Moving AverageIntroduction Not be confused with non-parametric statistics, i define a "non-parametric" indicator as an indicator who does not have any parameter input. Such indicators can be useful since they don't need to go through parameter optimization. I present here a non parametric adaptive moving average based on exponential averaging using a modified ratio of open-close to high-low range indicator as smoothing variable. The Indicator The ratio of open-close to high-low range is a measurement involving calculating the ratio between the absolute close/open price difference and the range (high - low) , now the relationship between high/low and open/close price has been studied in econometrics for some time but there are no reason that the ohlc range ratio may be an indicator of volatility, however we can make the hypothesis that trending markets contain less indecision than ranging market and that indecision is measured by the high/low movements, this is an idea that i've heard various time. Since the range is always greater than the absolute close/open difference we have a scaled smoothing variable in a range of 0/1, this allow to perform exponential averaging. The ratio of open-close to high-low range is calculated using the vwap of the close/high/low/open price in order to increase the smoothing effect. The vwap tend to smooth more with low time frames than higher ones, since the indicator use vwap for the calculation of its smoothing variable, smoothing may differ depending on the time frame you are in. 1 minute tf 1 hour tf Conclusion Making non parametric indicators is quite efficient, but they wont necessarily outperform classical parametric indicators. I also presented a modified version of the ratio of open-close to high-low range who can provide a smoothing variable for exponential averaging. I hope the indicator can help you in any way. Thanks for reading !
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alexgrover tarafından
4
CryptoSnaxAllinOne > 5 Scripts in 1 > Saving Time and Efficiency5 Scripts in 1 > Saving Time and Efficiency in My Daily Life Tired of doing those repetivie tasks with Trading View? - Spending Hours finding Support or Resistance?, Looking for Entry or Exit Signals? Looking for Pivot High/Low? - Only to do it all again, when changing timeframes or asset! - Fear Not > My All in One script should help. Please find an overview of the All in One Script I have been building. - This is purely for educational purposes. - This script is not financial advice. - I hold no responsibility for anyone using this script. - I do not guarantee lifetime support for this script (if TV update version from 3 to 4, code will need to be updated) - If you would like to use the script, please message me on TradingView. - Script One > Give overall direction of trend with - Script Two > Much Easier to see the Highs and the Lows of the Candles. Easier to Spot Resistance & Support. [Highest High / Lowest Low of Candle/Wick > 20Bars Eitherside) - Script Three > 1st Confirmation of Pivot High and Low Plot > My 1st Confirmation of High or Low. [Pivot High/Low 20Bars Eitherside > 1st Confirm) - Script Four > 2nd Confirmation of Pivot High and Low Plot > Entry and Exit > My 2nd Confirmation of High or Low. [Pivot High/Low 10Bars Eitherside > 2nd Confirm) - Script Five > Plot in the Main Chart Red IF OverBought / Green if OverSold NOTE > White Support Lines were Manually Drawn. I Drew them from the Script Data. I.e. Looking for Strong Support / Resistance Zones + Possible Fib = Manually Draw and Much Quicker to Make Qualified Decisions on the Probability.
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cryptosnax tarafından
33
FVG Detection SystemThe "FVG Detection System" is a powerful indicator designed to identify Fair Value Gaps (FVGs) on price charts, helping traders spot potential areas of market inefficiency across any timeframe. Fair Value Gaps occur when price moves rapidly, leaving untested price zones that often act as support, resistance, or reversal areas. This indicator highlights bullish and bearish FVGs with customizable visuals, including boxes, mitigation lines, and a dashboard, making it a versatile tool for traders of all levels. Key Features FVG Detection: Identifies bullish FVGs when the current low exceeds the high of two bars prior (low > high ) and the prior close is above that high (close > high ), with a threshold filter (default: 0% or auto-calculated). Bearish FVGs are detected when the current high is below the low of two bars prior (high < low ) and the prior close is below that low (close < low ). Unlike standard FVG indicators, this system includes an auto-threshold option (using a cumulative (high-low)/low formula) to adapt dynamically to market volatility, ensuring more reliable gap detection across assets and timeframes. Customizable Visuals: Displays FVGs as colored boxes (bullish: blue, bearish: yellow) with an adjustable extension (default: 20 bars). Offers dynamic adjustment mode, where FVG boundaries update based on price action, providing a more responsive visualization of unmitigated gaps. Optionally shows mitigation lines (dashed lines at the mitigated price level) when price closes beyond an FVG’s boundary, helping traders track gap closures. Flexible Timeframe Analysis: Supports multi-timeframe analysis by allowing users to specify an analysis timeframe (default: chart timeframe), enabling alignment with higher timeframe FVGs for confluence. Dashboard Display: Includes an optional dashboard (default: off) to summarize FVG statistics, such as total and mitigated gaps, with customizable position (e.g., Top Right) and size (e.g., Small). Performance Optimization: Limits visuals to 500 boxes and lines to ensure smooth performance on TradingView, even with historical data. Perfect For Swing and intraday traders seeking to identify key support/resistance zones on any asset (stocks, ETFs, crypto, forex). Traders using multi-timeframe analysis to find confluence between FVGs on different timeframes. Those looking for a visual tool to track unmitigated and mitigated FVGs with clear, customizable displays Justification for Invite-Only Status This indicator is offered as an Invite-Only script under PineAlpha Premium due to its optimized visualization and ongoing support (e.g., monthly access code updates, Discord assistance), justifying its paid access.
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PineAlpha tarafından
Ultimate Scalping Tool[BullByte]Overview The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators. Core Components Quantum Flux Candle (QFC) Construction The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own. Oscillator Normalization & Adaptive Weights The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale). Trend/Momentum/Volume/Volatility Fusion Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength. Signal Classification The script interprets the QFC oscillator to label trades. For example: • Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend. • Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.) • Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal. • Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow. These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion). Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX) Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.) Dashboard Metrics & Color Logic The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences. 1. Dashboard Layout & Customization Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input. Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input. Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script. 2. Key Metrics Displayed The dashboard presents critical trading metrics in a structured table format: Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) . Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds. Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator. Basic & Advanced Signals: Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade). Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts. RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions. HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter. VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it. ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red). Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom). Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**. 3. Filters Status Panel A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals: - DI Reversal Filter: On/Off (confirms reversals before generating signals). - Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility). - Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility). - Early Signal: On/Off (enables early momentum-based signals). - Leading HTF Filter: On/Off (applies higher timeframe trend confirmation). 4. Visual Enhancements Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation. Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends. Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator. How It(QFC) Differs from Traditional Indicators Quantum Flux Candle (QFC) Versus Heikin-Ashi Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart. Versus Standard Oscillators Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one. Signal Style Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code. Key Term Definitions • Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.) • Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting. • Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade. • Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended. What is the Flux MA? The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish. How it’s calculated (Flux MA): 1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0). 2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods). 3.The result is rescaled back to the oscillator’s original range for plotting. Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts. Color of the Flux Candle The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means: • Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward. • Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward. • Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long. • Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short. The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions. How to Trade the Flux MA with Respect to the Candle Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide: 1. Identify the Trend Direction • Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum. • Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum. The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure. 2. Interpret Candle Colors for Trade Signals • Green Candle : General bullish momentum. Consider entering or holding a long position. • Red Candle : General bearish momentum. Consider entering or holding a short position. • Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade. • Purple Candle : A strong sell signal. This is an ideal time to enter a short trade. 3. Enter Trades Based on Crossovers and Colors • Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long. • Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short. 4. Exit Trades • Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing. • Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing. •You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal). 5. Use Additional Confirmation To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example: •A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal. •A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting. Practical Example Imagine you’re scalping a cryptocurrency: • Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA. • Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA. Market Presets and Adaptation This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type. Usage Guidelines • Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings. • Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs. • Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability. • Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger. • Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands. Background Shading To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark): Neutral (Gray) When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands. Bullish (Green) As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight. Bearish (Red) Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30. By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions. The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference. Disclaimer No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders. Good luck! - BullByte
Pine Script® göstergesi
BullByte tarafından
21
ICT HTF Candles [Pro] (fadi)The ICT HTF Candles shows you multi-timeframe price action by plotting up to six higher timeframe candles on your chart, scaled to real price levels. Set candle counts per timeframe or toggle them off for a clean view, saving you time switching between charts. This helps you spot trends and reversals quickly, align trades with the market’s direction, and time setups like sweeps or bounces better. From scalping on the 1m to swinging on the 4H, it simplifies ICT and Smart Money Concepts (SMC), revealing trend shifts and institutional moves clearly. Once you use it, trading without this clarity just won’t feel right. Key Features: In-Depth Price Action Levels These levels track ICT PD arrays and confluences across timeframes, making it easy to see how price action flows from higher timeframes and what your setup faces. Is your 5m trade about to run into a 1H bearish order block? Did it bounce off a higher timeframe FVG and create an SMT with a correlated asset? They make your chart a clear roadmap to market structure, helping you find strong setups, save time, and align with institutional moves: Change in State of Delivery (CISD): In ICT trading, CISD marks potential reversal levels on each timeframe by showing the open of the highest series of up (green) candles for a bullish shift or the open of the lowest series of down (red) candles for a bearish shift. These levels are set at the opening price of the first candle in those runs, highlighting where the market turns. The indicator makes these levels easy to spot across timeframes, so you can track reversal points clearly. You can set your own confirmation criteria—a close or wick above/below the CISD line (bearish/bullish) or a close or wick above/below the high/low—to verify the CISD level cross. When confirmed, there is a high probability that we have a change in trend, and a reversal order block forms. CISD helps you track these reversal levels and confirm market shifts, making multi-timeframe analysis straightforward. Order Blocks: When a CISD level cross is confirmed, the price is now below a series of up (green) candles or above a series of down (red) candles, marking these candles as order blocks that usually support the new trend direction. The indicator shows these levels clearly across timeframes, making it easy to spot high-probability reversal or consolidation areas. Keep in mind that price may sometimes move to mitigate an imbalance, so use your best judgment based on your multi-timeframe analysis to confirm they meet your trading criteria. Trend Bias: Traders often struggle figuring out market bias—guessing the trend wrong, losing on trades against the flow, or missing how lower and higher timeframes line up. The Trend Bias feature tracks order blocks and change in state of delivery, displaying bullish or bearish trends for each timeframe to help you choose trades that go with the market’s direction. The indicator shows these trends clearly across timeframes, so you can quickly see if the 5m matches the 1H or if you’re going against the bigger trend. This makes it easier to avoid bad trades and make decisions faster, keeping you on track with setups that follow the main trend. Immediate Rebalance: When looking at price action, you’ll see the market doesn’t usually leave behind many Fair Value Gaps (FVGs). That’s because the market is efficient and always rebalancing any inefficiencies. When the market starts a strong move, the last candle will usually close above the previous candle high (for up moves) or below the low (for down moves). At this point, the market will do one of two things: immediately rebalance by retracing first, or have a small retracement but leave behind an FVG. The Immediate Rebalance feature tracks rebalance levels across multiple timeframes, clearly showing where price rebalances. This helps traders have a better expectation of how the market may need to retrace and anticipate Power of Three (PO3) setups by being ready for a Judas swing to rebalance the imbalance. Fair Value Gaps and Volume Imbalances: If the market fails to immediately rebalance, it will usually attempt to come back and rebalance it at a later time. FVGs and VIs give you a clear area where the price might be heading if it starts breaking structure on lower timeframes. These inefficiencies—price gaps (FVGs) or aggressive moves (VIs)—show where the market’s working to fix imbalances. The Fair Value Gaps and Volume Imbalances feature tracks these levels across timeframes. Previous Candle Levels: The Previous Candle Levels feature marks the high, low, and middle of the prior candle on each timeframe, helping you identify key price levels for sweeps, bounces, or breakouts. It tracks the candle’s high and low as its extremes and the middle as the 50% mark, which you can set to calculate using the high-to-low range or the open-to-close range. These levels can provide tradable setups on lower timeframes. Smart Money Techniques (SMT): What’s an ICT indicator without an SMT feature to track cracks in correlated assets? The ICT HTF Candles monitors your chosen correlated assets, like EUR/USD and GBP/USD or SQ and NQ, for signs of strength or weakness to use as confluence with other features and build the case for A+ setups. The SMT feature spots divergences when one asset makes a higher high or lower low while the other doesn’t follow, hinting at potential reversals or market shifts. It tests SMT using two immediate candles, since higher timeframes (HTFs) create larger gaps on lower timeframes. Traders can easily see these divergence levels, like a 15m SMT lining up with a 1H order block or CISD, helping you confirm high-probability setups and strengthen trade entries with multi-timeframe confluence.
Pine Script® göstergesi
fadizeidan tarafından
26
DAILY CANDLE PROFIT TARGET BIAS @MaxMaserati Max Maserati Method for Candle Bias and effective price action Analysis The MMM CANDLE BIAS 2.0 indicator, built on the proprietary Max Maserati Method, classifies candles to deliver clear, real-time market bias insights. It decodes price action, revealing institutional trading patterns often missed by retail traders. The Six Core Candle Classifications: The Foundation of MMM Analysis Master these six closing patterns, and you'll unlock the true language of price action. These are the building blocks of institutional trading behavior: Bullish Body Close Identification: Candle closes above the previous candle’s high. Psychology: Strong buying pressure overcomes prior resistance. Implication: Signals bullish trend continuation or reversal. Bearish Body Close Identification: Candle closes below the previous candle’s low. Psychology: Intense selling pressure breaks past support. Implication: Indicates bearish trend continuation or reversal. Bullish Affinity Identification: High tests or breaches previous low, but close stays within previous candle’s range. Psychology: Buyers defend lower levels, rejecting downside. Implication: Hidden bullish strength in consolidation. Bearish Affinity Identification: Low tests or breaches previous high, but close remains within previous candle’s range. Psychology: Sellers cap upside attempts, gaining control. Implication: Subtle bearish pressure despite failed breakout. Seek & Destroy Identification: Candle breaks both previous high and low, closing inside previous range. Psychology: Institutions test liquidity on both sides before committing. Implication: Direction depends on close—upper half (bullish affinity) or lower half (bearish affinity). Close Inside Identification: High and low stay within previous candle’s range. Psychology: Consolidation with underlying directional bias. Implication: Bias determined by close position relative to range. Plus/Minus Strength System Bullish Strength: Measures distance from low to close (buying pressure). Bearish Strength: Measures distance from high to close (selling pressure). Plus (+): Dominant strength significantly outweighs the other, indicating strong directional conviction. Minus (-): Balanced strengths suggest a contested market, requiring caution. Key Features Automated Pattern Recognition: Instantly detects candle formations. Color-Coded Bars: Green for bullish, red for bearish bias. Dynamic Profit Targets: Projects targets based on higher timeframe high/low. Real-Time Metrics: Displays bullish/bearish strength percentages and volume delta. Customizable Table: Shows timeframe, symbol, bias, volume, and special note (“Analyze | Wait | Repeat”). Bias Lines: Plots high/low lines on higher timeframe, with optional extension. Labels: Customizable bias and profit target labels (Tiny, Small, Normal sizes). Trading Advantages Reveals institutional moves before retail traders react. Detects reversals ahead of conventional indicators. Enables precise entry timing with smart money. Enhances risk management with clear strength signals. Simplifies complex price action into actionable insights. Profit Target Framework Bullish Patterns: Target higher timeframe high. Bearish Patterns: Target higher timeframe low. Plus Strength: Expects direct move to target. Minus Strength: Anticipates measured advance with potential pullbacks and/or violations. Visual Implementation Lines and Labels: High/low bias lines and profit target markers adapt to timeframe. Table Display: Configurable position (top/middle/bottom, left/center/right) with key metrics. Bar Coloring: Optional coloring based on bias or plus/minus strength. Trader’s Mantra "Analyze | Wait | Repeat" - Discipline turns market reading into consistent profits. Elevate your trading with MMM CANDLE BIAS 2.0, where professional-grade analysis meets intuitive design. Note: Based on the proprietary Max Maserati Method for educational and analytical use.
Pine Script® göstergesi
MaxMaserati tarafından
Dynamic Liquidity Depth [BigBeluga] Dynamic Liquidity Depth A liquidity mapping engine that reveals hidden zones of market vulnerability. This tool simulates where potential large concentrations of stop-losses may exist — above recent highs (sell-side) and below recent lows (buy-side) — by analyzing real price behavior and directional volume. The result is a dynamic two-sided volume profile that highlights where price is most likely to gravitate during liquidation events, reversals, or engineered stop hunts. 🔵 KEY FEATURES Two-Sided Liquidity Profiles: Plots two separate profiles on the chart — one above price for potential sell-side liquidity , and one below price for potential buy-side liquidity . Each profile reflects the volume distribution across binned zones derived from historical highs and lows. Real Stop Zone Simulation: Each profile is offset from the current high or low using an ATR-based buffer. This simulates where traders might cluster their stop-losses above swing highs (short stops) or below swing lows (long stops). Directional Volume Analysis: Buy-side volume is accumulated only from bullish candles (close > open), while sell-side volume is accumulated only from bearish candles (close < open). This directional filtering enhances accuracy by capturing genuine pressure zones. Dynamic Volume Heatmap: Each liquidity bin is rendered as a horizontal box with a color gradient based on volume intensity: - Low activity bins are shaded lightly. - High-volume zones appear more vividly in red (sell) or lime (buy). - The maximum volume bin in each profile is emphasized with a brighter fill and a volume label. Extended POC Zones: The Point of Control (PoC) — the bin with the most volume — is extended backwards across the entire lookback period to mark critical resistance (sell-side) or support (buy-side) levels. Total Volume Summary Labels: At the center of each profile, a summary label displays Total Buy Liquidity and Total Sell Liquidity volume. This metric helps assess directional imbalance — when buy liquidity is dominant, the market may favor upward continuation, and vice versa. Customizable Profile Granularity: You can fine-tune both Resolution (Bins) and Offset Distance to adjust how far profiles are displaced from price and how many levels are calculated within the ATR range. 🔵 HOW IT WORKS The indicator calculates an ATR-based buffer above highs and below lows to define the top and bottom of the liquidity zones. Using a user-defined lookback period, it scans historical candles and divides the buffered zones into bins. Each bin checks if bullish (or bearish) candles pass through it based on price wicks and body. Volume from valid candles is summed into the corresponding bin. When volume exists in a bin, a horizontal box is drawn with a width scaled by relative volume strength. The bin with the highest volume is highlighted and optionally extended backward as a zone of importance. Total buy/sell liquidity is displayed with a summary label at the side of the profile. 🔵 USAGE/b] Identify Stop Hunt Zones: High-volume clusters near swing highs/lows are likely liquidation zones targeted during fakeouts. Fade or Follow Reactions: Price hitting a high-volume bin may reverse (fade opportunity) or break with strength (confirmation breakout). Layer with Other Tools: Combine with market structure, order blocks, or trend filters to validate entries near liquidity. Adjust Offset for Sensitivity: Use higher offset to simulate wider stop placement; use lower for tighter scalping zones. 🔵 CONCLUSION Dynamic Liquidity Depth transforms raw price and volume into a spatial map of liquidity. By revealing areas where stop orders are likely hidden, it gives traders insight into price manipulation zones, potential reversal levels, and breakout traps. Whether you're hunting for traps or trading with the flow, this tool equips you to navigate liquidity with precision.
Pine Script® göstergesi
BigBeluga tarafından
10
Smart Range DetectorSmart Range Detector What It Does This indicator automatically detects and validates significant trading ranges using pivot point analysis combined with logarithmic fibonacci relationships. It operates by identifying specific pivot patterns (High-Low-High and Low-High-Low) that meet fibonacci validation criteria to filter out noise and highlight only the most reliable trading ranges. Each range is continuously monitored for potential mitigation (breakout) events. Key Features Identifies both High-Low-High and Low-High-Low range patterns Validates each range using logarithmic fibonacci relationships (more accurate than linear fibs) Detects range mitigations (breakouts) and visually differentiates them Shows fibonacci levels within ranges (25%, 50%, 75%) for potential reversal points Visualizes extension levels beyond ranges for breakout targets Analyzes volume profile with customizable price divisions (default: 60) Displays Point of Control (POC) and Value Area for traded volume analysis Implements performance optimization with configurable range limits Includes user-adjustable safety checks to prevent Pine Script limitations Offers fully customizable colors, line widths, and transparency settings How To Use It Identify Valid Ranges : The indicator automatically detects and highlights trading ranges that meet fibonacci validation criteria Monitor Fibonacci Levels : Watch for price reactions at internal fib levels (25%, 50%, 75%) for potential reversal opportunities Track Extension Targets : Use the extension lines as potential targets when price breaks out of a range Analyze Volume Structure : Enable the volume profile mode to see where most volume was traded within mitigated ranges Trade Range Boundaries : Look for reactions at range highs/lows combined with volume POC for higher probability entries Manage Performance : Adjust the maximum displayed ranges and history bars settings for optimal chart performance Settings Guide Left/Right Bars Look Back : Controls how far back the indicator looks to identify pivot points (higher values find more ranges but may reduce sensitivity) Max History Bars : Limits how far back in history the indicator will analyze (stays within Pine Script's 10,000 bar limitation) Max Ranges to Display : Restricts the total number of ranges kept in memory for improved performance (1-50) Volume Profile : When enabled, shows volume distribution analysis for mitigated ranges Volume Profile Divisions : Controls the granularity of the volume analysis (higher values show more detail) Display Options : Toggle visibility of range lines, fibonacci levels, extension lines, and volume analysis elements Transparency & Color Settings : Fully customize the visual appearance of all indicator elements Line Width Settings : Adjust the thickness of lines for better visibility on different timeframes Technical Details The indicator uses logarithmic fibonacci calculations for more accurate price relationships Volume profile analysis creates 60 price divisions by default (adjustable) for detailed volume distribution All timestamps are properly converted to work with Pine Script's bar limitations Safety checks prevent "array index out of bounds" errors that plague many complex indicators Time-based coordinates are used instead of bar indices to prevent "bar index too far" errors This indicator works well on all timeframes and instruments, but performs best on 5-minute to daily charts. Perfect for swing traders, range traders, and breakout strategists. What Makes It Different Most range indicators simply draw boxes based on recent highs and lows. Smart Range Detector validates each potential range using proven fibonacci relationships to filter out noise. It then adds sophisticated volume analysis to help traders identify the most significant price levels within each range. The performance optimization features ensure smooth operation even on lower timeframes and extended history analysis.
Pine Script® göstergesi
mindyourbuisness tarafından
Liquidity Levels (Smart Swing Lows)Liquidity Levels — Smart Swing Low Detection Efficient Liquidity Sweep Visualization for Smart Money Traders This script automatically identifies and plots liquidity-rich swing lows based on pivot logic, filters them to remove redundant levels, and overlays daily highs/lows for added context — giving Smart Money Concept (SMC) traders a clean, actionable map of liquidity. It’s designed to be minimal yet powerful: perfect for spotting potential liquidity grabs, mitigation zones, and sweep targets with zero chart clutter. 🔍 What This Script Does: Detects Smart Swing Lows Uses fixed pivot detection (left = 3, right = customizable) to identify structurally significant swing lows. Filters out swing lows that are too close together using a percentage-based spacing threshold to reduce noise. Mitigation Cleanup Logic Tracks whether recent price action breaches past swing lows. If breached, the swing level is automatically removed, keeping only relevant, unmitigated liquidity levels on your chart. Plots Daily Highs and Lows Each new trading day, horizontal rays mark the prior day’s high and low — useful for identifying resting liquidity and possible sweep zones. Labeling and Style Customization Optional labels for swing lows. Full control over label size, color, and visibility to match any chart aesthetic. Timeframe Filtering Runs exclusively on 5m, 10m, and 15m charts to ensure optimal reliability and signal clarity. ⚙️ Customization Features: Pivot sensitivity (Right side control) Minimum distance between swing lows (in %) Label visibility, size, and color Line width and colors for both swing levels and daily highs/lows Mitigation cleanup lookback length 💡 How to Use: Add the script to a qualifying intraday chart (5–15m). Use the swing low levels to monitor liquidity-rich zones. Combine with your personal strategy to identify liquidity grabs, potential reversal zones, or entry points following a sweep. Let the built-in cleanup logic remove any already-mitigated levels so you can focus on active targets. 🚀 What Makes It Unique: This isn’t just another pivot plotter — it’s a smart, self-cleaning SMC tool designed for modern liquidity-based trading strategies. A must-have for traders using concepts like liquidity grabs, mitigation blocks, or sweep-to-reverse trade models. 🔗 Best used in combination with: ✅ First FVG — Opening Range Fair Value Gap Detector: Pinpoint the day’s first imbalance zone for intraday setups. ✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels: Confluence-based entries powered by liquidity logic, order blocks, and premium/discount zones. Used together, these scripts form a complete Smart Money toolkit — helping you build high-probability setups with confidence, clarity, and clean charts.
Pine Script® göstergesi
MrWoof888 tarafından
Intraday Uncertainty [PhenLabs]📊 Intraday Uncertainty Version: PineScript™ v6 📌 Description The Intraday Uncertainty indicator offers traders a visual representation of market certainty/uncertainty during trading sessions. By comparing each price bar’s range to the Average True Range (ATR), it provides an intuitive way to gauge market conviction through a color gradient system. This tool helps traders identify periods of high certainty (potentially trending markets) versus high uncertainty (potentially choppy or volatile markets) without complex calculations or multiple indicators. The color-coded bars create an immediate visual cue to support decision-making in varying market conditions. 🚀 Points of Innovation Automated range-to-ATR ratio calculation that adapts to changing market volatility Dynamic color gradient system that visually distinguishes between certain and uncertain price action Customizable gradient clamping to fine-tune sensitivity to market conditions Integrated dashboard that provides clear interpretation guidance Position-flexible legend that accommodates different chart layouts Highly optimized for performance with minimal calculation overhead 🔧 Core Components ATR Calculation: Measures market volatility using a configurable lookback period Range-to-ATR Ratio: Compares current bar’s high-low range against average volatility Gradient Mapping System: Converts numerical uncertainty values into an intuitive color scale Dashboard Legend: Provides clear interpretation guidance with customizable positioning 🔥 Key Features Bar Coloring: Instantly identifies market certainty levels through intuitive color gradients Customizable ATR Period: Adjust sensitivity to historical volatility based on trading style Gradient Clamping: Fine-tune the color sensitivity using the Range/ATR multiplier Color Customization: Personalize the color scheme to match your chart aesthetics Informative Dashboard: Quickly interpret color meanings with the optional on-chart legend Flexible Display Options: Customize dashboard position and text size for your chart layout 🎨 Visualization Color Gradient: Bars colored on a spectrum from green (high certainty) to red (high uncertainty) Dashboard Legend: Optional on-chart guide explaining the color interpretation Color Intensity: Stronger colors indicate more extreme certainty/uncertainty levels At-a-glance Interpretation: Quickly identify market conviction without analyzing numbers 📖 Usage Guidelines Calculation Settings ATR Period Default: 14 Range: 1+ Description: Controls the lookback period for ATR calculation. Lower values increase sensitivity to recent volatility, while higher values provide more stability. Gradient Clamp (Range/ATR Multiplier) Default: 2.0 Range: 0.1+ Description: Sets the maximum Range/ATR ratio for gradient scaling. Ranges above this value display the end color (high uncertainty). Color Settings Gradient Start Color (High Certainty) Default: Green Description: Color representing high market certainty (low Range/ATR ratio) Gradient End Color (Low Certainty) Default: Red Description: Color representing low market certainty (high Range/ATR ratio) Dashboard Settings Show Dashboard Legend Default: True Description: Toggles the visibility of the on-chart interpretation guide Dashboard Position Options: top_right, top_left, bottom_right, bottom_left, middle_right, middle_left Default: bottom_right Description: Controls the placement of the dashboard on your chart Dashboard Text Size Options: tiny, small, normal, large, huge Default: normal Description: Adjusts the text size of the dashboard for readability ✅ Best Use Cases Identifying potential trend shifts when certainty levels change dramatically Confirming trend strength through consistent certainty levels Detecting choppy/sideways markets with persistent high uncertainty Filtering trading signals from other indicators based on certainty levels Gauging market conviction behind price breakouts or pullbacks Optimizing entry/exit timing based on certainty/uncertainty transitions ⚠️ Limitations Does not predict future price direction, only measures current bar certainty May provide false signals during news events or unexpected volatility spikes Requires context within the broader market environment for optimal interpretation Color interpretation is relative rather than absolute across different securities ATR-based calculation means sensitivity varies across different timeframes 💡 What Makes This Unique Simplicity: Single visual indicator that doesn’t require multiple technical tools Adaptability: Automatically adjusts to changing market volatility conditions Contextual Analysis: Provides market conviction context beyond just price movement Intuitive Design: Color-based system that requires minimal learning curve Efficiency: Lightweight calculation that doesn’t impact chart performance 🔬 How It Works 1. ATR Calculation: Calculates the Average True Range using the specified period Establishes a baseline for normal market volatility 2. Range Analysis: Measures each bar’s high-low range Compares this range to the current ATR value to create a ratio 3. Gradient Mapping: Converts the Range/ATR ratio to a normalized value between 0 and 1 Maps this value onto a color gradient between the start and end colors Applies the resulting color to the price bar 4. Dashboard Creation: Constructs an information panel on the last visible bar Populates it with color samples and interpretation guidance 💡 Note: This indicator works best when used in conjunction with other technical analysis tools rather than in isolation. The certainty/uncertainty measure provides context for your trading decisions but should not be the sole basis for entries and exits. Consider using higher certainty periods for trend-following strategies and exercise caution during periods of high uncertainty.
Pine Script® göstergesi
PhenLabs tarafından
ICT FVG & Swing Detector Basic by Trader RiazICT FVG & Swing Detector Basic by Trader Riaz Unlock Precision Trading with the Ultimate Fair Value Gap (FVG) and Swing Detection Tool! Developed by Trader Riaz , the ICT FVG and Swing Detector Basic is a powerful Pine Script indicator designed to help traders identify key market structures with ease. Whether you're a day trader, swing trader, or scalper, this indicator provides actionable insights by detecting Bullish and Bearish Fair Value Gaps (FVGs) and Swing Highs/Lows on any timeframe. Perfect for trading forex, stocks, crypto, and more on TradingView! Key Features: 1: Bullish and Bearish FVG Detection - Automatically identifies Bullish FVGs (highlighted in green) and Bearish FVGs (highlighted in red) to spot potential reversal or continuation zones. - Displays FVGs as shaded boxes with a dashed midline at 70% opacity, making it easy to see the midpoint of the gap for precise entries and exits. - Labels are placed inside the FVG boxes at the extreme right for clear visibility. 2: Customizable FVG Display - Control the number of Bullish and Bearish FVGs displayed on the chart with user-defined inputs (fvg_bull_count and fvg_bear_count). - Toggle the visibility of Bullish and Bearish FVGs with simple checkboxes (show_bull_fvg and show_bear_fvg) to declutter your chart. 3: Swing High and Swing Low Detection - Detects Swing Highs (blue lines) and Swing Lows (red lines) to identify key market turning points. - Labels are positioned at the extreme right edge of the lines for better readability and alignment. - Customize the number of Swing Highs and Lows displayed (swing_high_count and swing_low_count) to focus on the most recent market structures. 4: Fully Customizable Display - Toggle visibility for Swing Highs and Lows (show_swing_high and show_swing_low) to suit your trading style. - Adjust the colors of Swing High and Low lines (swing_high_color and swing_low_color) to match your chart preferences. 5: Clean and Efficient Design - Built with Pine Script v6 for optimal performance on TradingView. - Automatically removes older FVGs and Swing points when the user-defined count is exceeded, keeping your chart clean and focused. - Labels are strategically placed to avoid clutter while providing clear information. Why Use This Indicator? Precision Trading: Identify high-probability setups with FVGs and Swing points, commonly used in Smart Money Concepts (SMC) and Institutional Trading strategies. User-Friendly: Easy-to-use inputs allow traders of all levels to customize the indicator to their needs. Versatile: Works on any market (Forex, Stocks, Crypto, Commodities) and timeframe (1M, 5M, 1H, 4H, Daily, etc.). Developed by Trader Riaz: Backed by the expertise of Trader Riaz, a seasoned trader dedicated to creating tools that empower the TradingView community. How to Use: - Add the Custom FVG and Swing Detector to your chart on TradingView. - Adjust the input settings to control the number of FVGs and Swing points displayed. - Toggle visibility for Bullish/Bearish FVGs and Swing Highs/Lows as needed. - Use the identified FVGs and Swing points to plan your trades, set stop-losses, and target key levels. Ideal For: - Traders using Smart Money Concepts (SMC), Price Action, or Market Structure strategies. - Those looking to identify liquidity grabs, imbalances, and trend reversals. - Beginners and advanced traders seeking a reliable tool to enhance their technical analysis. Happy trading!
Pine Script® göstergesi
traderriazofficial tarafından
19
IBD Style Relative Strength RatingWelcome to the IBD Style Relative Strength Rating Indicator! A powerful tool inspired by Investor's Business Daily (IBD), this indicator helps traders evaluate stock performance relative to a benchmark. It’s perfect for identifying strong or weak stocks compared to the broader market, specifically the S&P 500 (SPY). Whether you're a beginner or an experienced investor, this guide will walk you through its features and key concepts, including the RS Line and RS Rating, and how legendary trader Mark Minervini uses similar tools. Understanding the RS Line & RS Rating RS Line (Relative Strength Line) A visual representation of how a stock’s price performs relative to SPY. Calculated by dividing the stock’s closing price by SPY’s closing price and multiplying by 100. Rising RS Line → Stock is outperforming SPY. Falling RS Line → Stock is underperforming SPY. Helps identify strength or weakness compared to the market. RS Rating A numerical score (1-99) measuring stock performance over 252 trading days (1 year) relative to SPY. Above 80 → Top 20% of performers. Above 90 → Top 10% (ideal for growth investors). Weighted average of stock’s price changes over 63, 126, 189, and 252 days. Key Features Explained RS Line Color Mode: Static (default white) or Dynamic (green when rising, red when falling) for quick trend identification. Comparative Symbol: Default: SPY. Can be changed to NASDAQ:NDX, AAPL, or other indices/stocks. Ensure selected symbols have sufficient historical data. Plot RS New Highs: Marks new 250-day highs with subtle blue circles Indicates a stock significantly outperforming SPY (potential buy signal). Plot RS New Lows: Marks new 250-day lows with red circles Signals underperformance (possible sell or avoid indicator). Lookback for Display: Adjustable up to 2000 bars for historical trend analysis. RS Rating Color Scheme Green: Upward trend (improving RS Rating). Orange: Neutral/mixed trend. Red: Downward trend (declining RS Rating). Dynamic Color Settings Rising Line Color: Green (default), customizable. Falling Line Color: Red (default), adjustable. Advanced Options Enable Replay Mode: Uses fixed percentile values for consistent RS Rating calculations in backtesting. RS Rating Table Displays current RS Rating and values from previous day, week, and month in the top-right corner (daily charts). Background color reflects trend: Green (up), Orange (neutral), Red (down). Past values appear in neutral gray for a quick performance snapshot. How Mark Minervini Uses This Indicator Mark Minervini, a legendary trader, emphasizes Relative Strength as a core strategy: Looks for stocks with: Rising RS Line. RS Rating above 80-90 (top performers). RS New Highs to spot breakout candidates. Avoids stocks with: Declining RS Line. RS Rating below 70. Important Information for Beginners RS vs. SPY The indicator compares stock performance against SPY (S&P 500). Rising RS Line → Stock is beating SPY. Falling RS Line → Stock is lagging. Why Use This Indicator? Helps find strong relative strength stocks, crucial for bullish trends. New highs/lows on the RS Line signal significant shifts. The RS Rating quantifies percentile-based performance. Customization Options Adjust colors, lookback periods, and marker sizes to match your trading style. Default SPY comparison is ideal for U.S. traders but can be customized. Timeframe Considerations Optimized for daily charts. Weekly/monthly charts may have limited data availability. Tips for Crypto Traders (Measuring Altcoins vs. Bitcoin or Total Market Cap) If trading cryptocurrencies, this indicator can measure altcoins vs. Bitcoin (BTC) or the total crypto market cap (TOTAL): Comparative Symbol Setup: Set Comparative Symbol to BTCUSD to compare an altcoin (e.g., ETHUSD) against Bitcoin. Rising RS Line → The altcoin is outperforming Bitcoin (bullish signal). Use TOTAL (crypto market cap index) to assess an altcoin’s strength against the total market. High RS Rating suggests the altcoin is a market leader. Adjust Look-back Periods: Crypto markets are volatile, so reduce Look-back for New Highs/Lows to 50-100 bars (about 2-4 months) for shorter-term trends. Fine-tune based on your trading strategy. New Highs and Lows: Watch for new RS Line highs (blue dots) to identify altcoins breaking out against BTC or TOTAL (momentum trading). New lows (red dots) may signal weakening altcoins to avoid. RS Rating Interpretation: Above 80 against BTC or TOTAL → The altcoin is a strong performer. This aligns with Minervini’s growth strategy for stocks. Color Dynamics: Use Dynamic RS Line Color (green for rising, red for falling) to quickly spot altcoin trends against BTC or TOTAL. Crypto data may have gaps—test indicator settings on different timeframes (e.g., 1-hour or 4-hour charts). Tips for Getting Started Apply the Indicator to a stock chart and set Comparative Symbol to SPY. Watch the RS Line: If trending upward with new highs and RS Rating > 80, it's a strong candidate. Use the RS Rating Table to check for trend consistency. Adjust Opacity Settings for markers to balance visibility and clarity. This indicator is now ready for public use as of March 18, 2025. Enjoy trading with enhanced insights, and feel free to share feedback or suggestions for future updates!
Pine Script® göstergesi
NNenov tarafından
7
Market RhythmMarket Rhythm Overview If you’re a price-action enthusiast who loves to stay on top of structural shifts in the market, Market Rhythm is here to supercharge your charting experience! This script automatically identifies swing points (HH, LH, HL, LL), detects breaks of structure (BOS), flags changes of character (CHoCH), and offers an optional Trade Tip to guide your next move. It also provides a sleek table summarizing the latest signals so you can confirm momentum or pivot-based ideas at a glance. What It Does Swing Detection Spots the last few pivot highs and lows on your chart. Labels them as HH (Higher High), LH (Lower High), HL (Higher Low), or LL (Lower Low). You can display all identified swings or only the most recent ones. Adaptive Swing Logic Optionally invert your swing lengths when the script detects a bearish trend, allowing it to adapt pivot detection automatically. This means if the market flips to a downtrend, pivot detection reconfigures itself in real time. Break of Structure (BOS) If price breaks above the previous swing high or below the previous swing low, the script prints a BOS line on the chart. You can choose whether to confirm breakouts via candle closes or wicks. CHoCH (Change of Character) When a BOS flips from bullish to bearish (or vice versa) against the prior direction, it’s renamed CHoCH for added clarity. Color-coded lines and labels let you instantly see if the market’s “character” is reversing. Optional Trade Tip The script can suggest “Look for Long” or “Look for Short” based on your last pivot type and overall trend direction. This “Trade Tip” is completely optional: enable or disable it in the settings, and the table reconfigures itself automatically. Information Table A compact on-chart table gives you an at-a-glance summary of: Trend – Are we bullish, bearish, or uncertain? Last BOS – If there’s a recent break of structure, how many bars ago did it happen? Last CHoCH – If the market made a sudden reversal, how many bars back? Trade Tip (Optional) – Summarizes whether conditions favor a long or short setup, or if it’s best to wait. Alerts Built-in alert conditions let you know when a BOS or CHoCH happens (bullish or bearish). Turn them on to receive notifications without staring at the screen all day. Chart Elements Swing Labels: “HH,” “LH,” “HL,” “LL” near the pivot bars. BOS & CHoCH Lines: Solid/dashed/dotted lines drawn across your chart, marking the level of structure that got broken. Color Codes: Bullish signals are tinted in blue-ish tones, bearish signals in pink/purple-ish tones, making it easy to parse your chart visually. Trade Tip Row: If enabled, instantly highlights “Look for Long” or “Look for Short” in a color-coded cell (blue for long, purple for short, gray if none). Key Settings Swing Points Swing Points Display: Show all pivots, only the last set, or no pivots at all. Invert Right Swing in Bearish Trend: Automatically swap your “Right Swing Length (High)” and “Right Swing Length (Low)” once the script detects a bearish trend (signaled by the most recent CHoCH). Left Swing Length / Right Swing Length High/Low: Control how sensitive pivot detection is for highs vs. lows. Pivot Source: Decide if your pivots are based on candle closes or wicks. BOS Settings Show BOS: Hide or reveal the Break of Structure lines entirely. BOS Confirmation: Candle closes or wicks needed for a “true” breakout. Line Style / Width / Color: Customize the BOS lines to your liking. Show Only Last BOS: Show only the freshest BOS or keep historical ones on the chart. CHoCH Settings Show CHoCH: Rename the first opposite BOS to CHoCH if desired. Bullish/Bearish Colors: Pick your favorite color theme for CHoCH lines. Line Style / Width / Show Only Last CHoCH: Similar customizing options as BOS lines. Table Settings Show Table: Toggle the entire summary table on/off. Position & Text Size: Choose table location (top-left, bottom-right, etc.) and text size (small to huge). Show 'Trade Tip' row: Decide whether to add a fourth row that suggests potential trade direction. If disabled, the table has only three rows (Trend, Last BOS, and Last CHoCH). Alerts Several alert conditions are built in (e.g., “Bullish BOS Alert,” “Bearish BOS Alert,” “CHoCH Alert,” etc.), so you can set notifications for real-time structural shifts. Why You’ll Love It Visual Clarity: No more guesswork on which pivot was broken or whether a CHoCH just took place—color-coded lines and labels handle it. Flexible Pivot Logic: Candle closes vs. wicks, separate right swing lengths for highs and lows, and an adaptive approach if the market goes bearish. Quick Glance Table: Summaries of the latest signals keep you in the loop without cluttering your chart. Trade Tip Option: Let the script gently nudge you toward potential bullish or bearish setups—only if you want it to! Alerts for Everything: BOS and CHoCH can trigger alerts so you never miss a key structural change. Give Market Rhythm a go, and watch your chart transform into a dynamic story of structure breaks, pivot swings, and potential trade cues. Whether you’re a short-term scalper or a higher-timeframe swing trader, this tool aims to simplify your analysis and keep you laser-focused on what matters.
Pine Script® göstergesi
donniedarko123 tarafından
1
[GrandAlgo] MTF Historical Highs and LowsMany traders rely on weekly highs and lows to identify key market levels, but what if you could see how price reacted to these levels in past weeks, months, or even years? With MTF Historical Highs and Lows, you can visualize all past highs, lows, and midpoints from any timeframe, allowing you to refine your strategy and make more informed trading decisions. This indicator retrieves and plots historical highs, lows, and midpoints based on a user-selected timeframe (default: Weekly). It dynamically updates, ensuring that all significant price levels remain visible on your chart. Additionally, smart filtering helps you focus only on relevant levels, and alerts notify you when price interacts with key zones. Key Features: ✅ Automatically Fetches & Plots Historical Highs, Lows, and Midpoints ✅ Customizable Timeframes (default: Weekly, but adjustable) ✅ Visibility Filtering – Hides lines that are too far from the current price ✅ Alerts for Key Levels – Get notified when price touches an important historical level ✅ Customizable Colors & Display Preferences for clarity How It Works: 1️⃣ Select a Date Range – Focus on historical levels that are most relevant to the current market conditions 2️⃣ Choose a Timeframe – Use Weekly, Monthly, or any timeframe that suits your strategy. 3️⃣ Enable Highs, Lows, and Midpoints – Customize what you want to see. 4️⃣ Adjust Filtering – Hide lines that are too far from the current price to reduce clutter. 5️⃣ Get Alerts – Be notified when price reaches a historical level for potential trade setups. Ideal for Traders Who: Trade Support & Resistance Levels – Understand how price reacts at historical highs and lows. Analyze Market Structure – Identify key areas where price may reverse or break out. Want Smart Alerts – Stay informed without staring at charts all day.
Pine Script® göstergesi
GrandAlgo tarafından
Net Unrealized Profit Loss | JeffreyTimmermansNet Unrealized Profit Loss (NUPL) The "Net Unrealized Profit Loss" (NUPL) indicator is a highly regarded tool for assessing Bitcoin investor sentiment by analyzing the relationship between Market Value and Realized Value. This Pine Script implementation, developed by Jeffrey Timmermans, includes additional features such as dynamic labels, alerts, and thresholds with color-coded bands, enhancing its usability for traders and analysts. Core Concepts Behind NUPL Market Value (MV): Defined as the current Bitcoin price multiplied by the number of coins in circulation. Equivalent to market capitalization in traditional finance. Realized Value (RV): Calculated by considering the price at which each Bitcoin last moved (e.g., transferred between wallets). The average price of all these transactions is multiplied by the total coins in circulation. Net Unrealized Profit Loss (NUPL): Formula: NUPL = (Market Value − Realized Value) : Market Value × 100 Measures the proportion of paper profits or losses held by investors relative to the market cap. Significance of NUPL: Tracks investor sentiment over time. A high NUPL value indicates that most investors are in profit, often signaling potential market overheating. A low or negative NUPL suggests pessimism and undervaluation, which may precede market recovery. How to View the Chart The NUPL chart uses distinct percentage bands to delineate various market phases. These bands provide context for understanding investor sentiment and market stages: Extreme Low Values (< 0%): Indicates widespread losses; the market may be near capitulation. Neutral Value (0%): A balance between profit and loss; often signifies a transition phase. Slightly High to High Values (> 0% to 50%): Increasing profits suggest growing optimism; early stages of bullish trends. Extreme High Values (> 75%): Signals overheating; often corresponds to excessive greed, which may precede corrections. The colored bands visually represent these stages, enabling traders to identify key turning points. Features of the Script Querying Data The indicator uses data from two key sources: Bitcoin Market Cap (MC1): GLASSNODE:BTC_MARKETCAP Bitcoin Realized Cap (MCR): COINMETRICS:BTC_MARKETCAPREAL These values are fetched using the request.security function to ensure daily accuracy, regardless of the chart's timeframe. Threshold Calculation The script computes NUPL values dynamically and compares them against historical lows: Calculated using the ta.lowest function over a 1,000-bar lookback period. The average of the historical low and the current NUPL value, providing a dynamic baseline. Value Classification NUPL is categorized into sentiment levels with corresponding weights: < Low Threshold: 1 (Extreme Bearish) Low to 0: 0.75 (Moderate Bearish) 0 to 25: 0.25 (Neutral to Slightly Bullish) 25 to 50: -0.25 (Moderate Bullish) 50 to 75 : -0.75 (Strong Bullish) > 75: -1 (Extreme Bullish) Visual Elements NUPL Line Plot: The NUPL line is plotted in orange for clear visibility. Threshold Bands: Horizontal thresholds ranging from -160 to 160 and are plotted, representing key sentiment levels. Bands are categorized as: Extreme High/Low Values Significant High/Low Values Neutral Values Fill Colors: Red Shades (Bearish Sentiment): Above neutral levels. Green Shades (Bullish Sentiment): Below neutral levels. The opacity of fills decreases as sentiment moves from extreme to neutral values. Dynamic Label: A real-time label displays the current NUPL value and sentiment classification. Positioned directly on the NUPL line for immediate insight. Alerts: The indicator includes two alerts for crossing key thresholds: NUPL Above 0% Alert: Triggers when NUPL crosses above the neutral value, signaling a shift to positive sentiment. NUPL Below 0% Alert: Triggers when NUPL crosses below the neutral value, indicating a shift to negative sentiment. Alerts are configured with alert.freq_once_per_bar to avoid redundancy during intra-bar fluctuations. Use Cases Identifying Market Extremes: Use NUPL levels to pinpoint moments of extreme greed or fear, which often precede market reversals. Long-Term Strategy: NUPL trends can assist strategic investors in deciding when to accumulate during pessimistic phases or take profits during euphoria. Market Sentiment Analysis: Provides a macro perspective on the prevailing investor sentiment, offering valuable context for trading decisions. Conclusion The Net Unrealized Profit Loss (NUPL) indicator combines advanced data processing with intuitive visualization to deliver actionable insights into Bitcoin market sentiment. With its real-time alerts, dynamic labels, and comprehensive banding system, this tool is indispensable for traders and investors seeking to understand and anticipate market movements based on sentiment analysis. -Jeffrey
Pine Script® göstergesi
JeffreyTimmermans tarafından
JJ Highlight Time Ranges with First 5 Minutes and LabelsTo effectively use this Pine Script as a day trader , here’s how the various elements can help you manage trades, track time sessions, and monitor price movements: Key Components for a Day Trader: 1. First 5-Minute Highlight: - Purpose: Day traders often rely on the first 5 minutes of the trading session to gauge market sentiment, watch for opening price gaps, or plan entries. This script draws a horizontal line at the high or low of the first 5 minutes, which can act as a key level for the rest of the day. - How to Use: If the price breaks above or below the first 5-minute line, it can signal momentum. You might enter a long position if the price breaks above the first 5-minute high or a short if it breaks below the first 5-minute low. 2. Session Time Highlights: - Morning Session (9:15–10:30 AM): The market often shows its strongest price action during the first hour of trading. This session is highlighted in yellow. You can use this highlight to focus on the most volatile period, as this is when large institutional moves tend to occur. - Afternoon Session (12:30–2:55 PM): The blue highlight helps you track the mid-afternoon session, where liquidity may decrease, and price action can sometimes be choppier. Day traders should be more cautious during this period. - How to Use: By highlighting these key times, you can: - Focus on key breakouts during the morning session. - Be more conservative in your trades during the afternoon, as market volatility may drop. 3. Dynamic Labels: - Top/Bottom Positioning: The script places labels dynamically based on the selected position (Top or Bottom). This allows you to quickly glance at the session's start and identify where you are in terms of time. - How to Use: Use these labels to remind yourself when major time segments (morning or afternoon) begin. You can adjust your trading strategy depending on the session, e.g., being more aggressive in the morning and more cautious in the afternoon. Trading Strategy Suggestions: 1. Momentum Trades: - After the first 5 minutes, use the high/low of that period to set up breakout trades. - Long Entry: If the price breaks the high of the first 5 minutes (especially if there's a strong trend). - Short Entry: If the price breaks the low of the first 5 minutes, signaling a potential downtrend. 2. Session-Based Strategy: - Morning Session (9:15–10:30 AM): - Look for strong breakout patterns such as support/resistance levels, moving average crossovers, or candlestick patterns (like engulfing candles or pin bars). - This is a high liquidity period, making it ideal for executing quick trades. - Afternoon Session (12:30–2:55 PM): - The market tends to consolidate or show less volatility. Scalping and mean-reversion strategies work better here. - Avoid chasing big moves unless you see a clear breakout in either direction. 3. Support and Resistance: - The first 5-minute high/low often acts as a key support or resistance level for the rest of the day. If the price holds above or below this level, it’s an indication of trend continuation. 4. Breakout Confirmation: - Look for breakouts from the highlighted session time ranges (e.g., 9:15 AM–10:30 AM or 12:30 PM–2:55 PM). - If a breakout happens during a key time window, combine that with other technical indicators like volume spikes , RSI , or MACD for confirmation. --- Example Day Trader Usage: 1. First 5 Minutes Strategy: After the market opens at 9:15 AM, watch the price action for the first 5 minutes. The high and low of these 5 minutes are critical levels. If the price breaks above the high of the first 5 minutes, it might indicate a strong bullish trend for the day. Conversely, breaking below the low may suggest bearish movement. 2. Morning Session: After the first 5 minutes, focus on the **9:15 AM–10:30 AM** window. During this time, look for breakout setups at key support/resistance levels, especially when paired with high volume or momentum indicators. This is when many institutions make large trades, so price action tends to be more volatile and predictable. 3. Afternoon Session: From 12:30 PM–2:55 PM, the market might experience lower volatility, making it ideal for scalping or range-bound strategies. You could look for reversals or fading strategies if the market becomes too quiet. Conclusion: As a day trader, you can use this script to: - Track and react to key price levels during the first 5 minutes. - Focus on high volatility in the morning session (9:15–10:30 AM) and **be cautious** during the afternoon. - Use session-based timing to adjust your strategies based on the time of day.
Pine Script® göstergesi
JoanJagan tarafından
2
Quantify [Entry Model] | FractalystWhat’s the indicator’s purpose and functionality? Quantify is a machine learning entry model designed to help traders identify high-probability setups to refine their strategies. ➙ Simply pick your bias, select your entry timeframes, and let Quantify handle the rest for you. Can the indicator be applied to any market approach/trading strategy? Absolutely, all trading strategies share one fundamental element: Directional Bias Once you’ve determined the market bias using your own personal approach, whether it’s through technical analysis or fundamental analysis, select the trend direction in the Quantify user inputs. The algorithm will then adjust its calculations to provide optimal entry levels aligned with your chosen bias. This involves analyzing historical patterns to identify setups with the highest potential expected values, ensuring your setups are aligned with the selected direction. Can the indicator be used for different timeframes or trading styles? Yes, regardless of the timeframe you’d like to take your entries, the indicator adapts to your trading style. Whether you’re a swing trader, scalper, or even a position trader, the algorithm dynamically evaluates market conditions across your chosen timeframe. How can this indicator help me to refine my trading strategy? 1. Focus on Positive Expected Value • The indicator evaluates every setup to ensure it has a positive expected value, helping you focus only on trades that statistically favor long-term profitability. 2. Adapt to Market Conditions • By analyzing real-time market behavior and historical patterns, the algorithm adjusts its calculations to match current conditions, keeping your strategy relevant and adaptable. 3. Eliminate Emotional Bias • With clear probabilities, expected values, and data-driven insights, the indicator removes guesswork and helps you avoid emotional decisions that can damage your edge. 4. Optimize Entry Levels • The indicator identifies optimal entry levels based on your selected bias and timeframes, improving robustness in your trades. 5. Enhance Risk Management • Using tools like the Kelly Criterion, the indicator suggests optimal position sizes and risk levels, ensuring that your strategy maintains consistency and discipline. 6. Avoid Overtrading • By highlighting only high-potential setups, the indicator keeps you focused on quality over quantity, helping you refine your strategy and avoid unnecessary losses. How can I get started to use the indicator for my entries? 1. Set Your Market Bias • Determine whether the market trend is Bullish or Bearish using your own approach. • Select the corresponding bias in the indicator’s user inputs to align it with your analysis. 2. Choose Your Entry Timeframes • Specify the timeframes you want to focus on for trade entries. • The indicator will dynamically analyze these timeframes to provide optimal setups. 3. Let the Algorithm Analyze • Quantify evaluates historical data and real-time price action to calculate probabilities and expected values. • It highlights setups with the highest potential based on your selected bias and timeframes. 4. Refine Your Entries • Use the insights provided—entry levels, probabilities, and risk calculations—to align your trades with a math-driven edge. • Avoid overtrading by focusing only on setups with positive expected value. 5. Adapt to Market Conditions • The indicator continuously adapts to real-time market behavior, ensuring its recommendations stay relevant and precise as conditions change. How does the indicator calculate the current range? The indicator calculates the current range by analyzing swing points from the very first bar on your charts to the latest available bar it identifies external liquidity levels, also known as BSLQ (buy-side liquidity levels) and SSLQ (sell-side liquidity levels). What's the purpose of these levels? What are the underlying calculations? 1. Understanding Swing highs and Swing Lows Swing High: A Swing High is formed when there is a high with 2 lower highs to the left and right. Swing Low: A Swing Low is formed when there is a low with 2 higher lows to the left and right. 2. Understanding the purpose and the underlying calculations behind Buyside, Sellside and Pivot levels. 3. Identifying Discount and Premium Zones. 4. Importance of Risk-Reward in Premium and Discount Ranges How does the script calculate probabilities? The script calculates the probability of each liquidity level individually. Here's the breakdown: 1. Upon the formation of a new range, the script waits for the price to reach and tap into pivot level level. Status: "■" - Inactive 2. Once pivot level is tapped into, the pivot status becomes activated and it waits for either liquidity side to be hit. Status: "▶" - Active 3. If the buyside liquidity is hit, the script adds to the count of successful buyside liquidity occurrences. Similarly, if the sellside is tapped, it records successful sellside liquidity occurrences. 4. Finally, the number of successful occurrences for each side is divided by the overall count individually to calculate the range probabilities. Note: The calculations are performed independently for each directional range. A range is considered bearish if the previous breakout was through a sellside liquidity. Conversely, a range is considered bullish if the most recent breakout was through a buyside liquidity. What does the multi-timeframe functionality offer? You can incorporate up to 4 higher timeframe probabilities directly into the table. This feature allows you to analyze the probabilities of buyside and sellside liquidity across multiple timeframes, without the need to manually switch between them. By viewing these higher timeframe probabilities in one place, traders can spot larger market trends and refine their entries and exits with a better understanding of the overall market context. What are the multi-timeframe underlying calculations? The script uses the same calculations (mentioned above) and uses security function to request the data such as price levels, bar time, probabilities and booleans from the user-input timeframe. How does the Indicator Identifies Positive Expected Values? Quantify instantly calculates whether a trade setup has the potential to generate positive expected value (EV). To determine a positive EV setup, the indicator uses the formula: EV = ( P(Win) × R(Win) ) − ( P(Loss) × R(Loss)) where: - P(Win) is the probability of a winning trade. - R(Win) is the reward or return for a winning trade, determined by the current risk-to-reward ratio (RR). - P(Loss) is the probability of a losing trade. - R(Loss) is the loss incurred per losing trade, typically assumed to be -1. By calculating these values based on historical data and the current trading setup, the indicator helps you understand whether your trade has a positive expected value. How can I know that the setup I'm going to trade with has a positive EV? If the indicator detects that the adjusted pivot and buy/sell side probabilities have generated positive expected value (EV) in historical data, the risk-to-reward (RR) label within the range box will be colored blue and red . If the setup does not produce positive EV, the RR label will appear gray. This indicates that even the risk-to-reward ratio is greater than 1:1, the setup is not likely to yield a positive EV because, according to historical data, the number of losses outweighs the number of wins relative to the RR gain per winning trade. What is the confidence level in the indicator, and how is it determined? The confidence level in the indicator reflects the reliability of the probabilities calculated based on historical data. It is determined by the sample size of the probabilities used in the calculations. A larger sample size generally increases the confidence level, indicating that the probabilities are more reliable and consistent with past performance. How does the confidence level affect the risk-to-reward (RR) label? The confidence level (★) is visually represented alongside the probability label. A higher confidence level indicates that the probabilities used to determine the RR label are based on a larger and more reliable sample size. How can traders use the confidence level to make better trading decisions? Traders can use the confidence level to gauge the reliability of the probabilities and expected value (EV) calculations provided by the indicator. A confidence level above 95% is considered statistically significant and indicates that the historical data supporting the probabilities is robust. This high confidence level suggests that the probabilities are reliable and that the indicator’s recommendations are more likely to be accurate. In data science and statistics, a confidence level above 95% generally means that there is less than a 5% chance that the observed results are due to random variation. This threshold is widely accepted in research and industry as a marker of statistical significance. Studies such as those published in the Journal of Statistical Software and the American Statistical Association support this threshold, emphasizing that a confidence level above 95% provides a strong assurance of data reliability and validity. Conversely, a confidence level below 95% indicates that the sample size may be insufficient and that the data might be less reliable. In such cases, traders should approach the indicator’s recommendations with caution and consider additional factors or further analysis before making trading decisions. How does the sample size affect the confidence level, and how does it relate to my TradingView plan? The sample size for calculating the confidence level is directly influenced by the amount of historical data available on your charts. A larger sample size typically leads to more reliable probabilities and higher confidence levels. Here’s how the TradingView plans affect your data access: Essential Plan The Essential Plan provides basic data access with a limited amount of historical data. This can lead to smaller sample sizes and lower confidence levels, which may weaken the robustness of your probability calculations. Suitable for casual traders who do not require extensive historical analysis. Plus Plan The Plus Plan offers more historical data than the Essential Plan, allowing for larger sample sizes and more accurate confidence levels. This enhancement improves the reliability of indicator calculations. This plan is ideal for more active traders looking to refine their strategies with better data. Premium Plan The Premium Plan grants access to extensive historical data, enabling the largest sample sizes and the highest confidence levels. This plan provides the most reliable data for accurate calculations, with up to 20,000 historical bars available for analysis. It is designed for serious traders who need comprehensive data for in-depth market analysis. PRO+ Plans The PRO+ Plans offer the most extensive historical data, allowing for the largest sample sizes and the highest confidence levels. These plans are tailored for professional traders who require advanced features and significant historical data to support their trading strategies effectively. For many traders, the Premium Plan offers a good balance of affordability and sufficient sample size for accurate confidence levels. What is the HTF probability table and how does it work? The HTF (Higher Time Frame) probability table is a feature that allows you to view buy and sellside probabilities and their status from timeframes higher than your current chart timeframe. Here’s how it works: Data Request: The table requests and retrieves data from user-defined higher timeframes (HTFs) that you select. Probability Display: It displays the buy and sellside probabilities for each of these HTFs, providing insights into the likelihood of price movements based on higher timeframe data. Detailed Tooltips: The table includes detailed tooltips for each timeframe, offering additional context and explanations to help you understand the data better. What do the different colors in the HTF probability table indicate? The colors in the HTF probability table provide visual cues about the expected value (EV) of trading setups based on higher timeframe probabilities: Blue: Suggests that entering a long position from the HTF user-defined pivot point, targeting buyside liquidity, is likely to result in a positive expected value (EV) based on historical data and sample size. Red: Indicates that entering a short position from the HTF user-defined pivot point, targeting sellside liquidity, is likely to result in a positive expected value (EV) based on historical data and sample size. Gray: Shows that neither long nor short trades from the HTF user-defined pivot point are expected to generate positive EV, suggesting that trading these setups may not be favorable. What machine learning techniques are used in Quantify? Quantify offers two main machine learning approaches: 1. Adaptive Learning (Fixed Sample Size): The algorithm learns from the entire dataset without resampling, maintaining a stable model that adapts to the latest market conditions. 2. Bootstrap Resampling: This method creates multiple subsets of the historical data, allowing the model to train on varying sample sizes. This technique enhances the robustness of predictions by ensuring that the model is not overfitting to a single dataset. How does machine learning affect the expected value calculations in Quantify? Machine learning plays a key role in improving the accuracy of expected value (EV) calculations. By analyzing historical price action, liquidity hits, and market bias patterns, the model continuously adjusts its understanding of risk and reward, allowing the expected value to reflect the most likely market movements. This results in more precise EV predictions, helping traders focus on setups that maximize profitability. What is the Kelly Criterion, and how does it work in Quantify? The Kelly Criterion is a mathematical formula used to determine the optimal position size for each trade, maximizing long-term growth while minimizing the risk of large drawdowns. It calculates the percentage of your portfolio to risk on a trade based on the probability of winning and the expected payoff. Quantify integrates this with user-defined inputs to dynamically calculate the most effective position size in percentage, aligning with the trader’s risk tolerance and desired exposure. How does Quantify use the Kelly Criterion in practice? Quantify uses the Kelly Criterion to optimize position sizing based on the following factors: 1. Confidence Level: The model assesses the confidence level in the trade setup based on historical data and sample size. A higher confidence level increases the suggested position size because the trade has a higher probability of success. 2. Max Allowed Drawdown (User-Defined): Traders can set their preferred maximum allowed drawdown, which dictates how much loss is acceptable before reducing position size or stopping trading. Quantify uses this input to ensure that risk exposure aligns with the trader’s risk tolerance. 3. Probabilities: Quantify calculates the probabilities of success for each trade setup. The higher the probability of a successful trade (based on historical price action and liquidity levels), the larger the position size suggested by the Kelly Criterion. What is a trailing stoploss, and how does it work in Quantify? A trailing stoploss is a dynamic risk management tool that moves with the price as the market trend continues in the trader’s favor. Unlike a fixed take profit, which stays at a set level, the trailing stoploss automatically adjusts itself as the market moves, locking in profits as the price advances. In Quantify, the trailing stoploss is enhanced by incorporating market structure liquidity levels (explain above). This ensures that the stoploss adjusts intelligently based on key price levels, allowing the trader to stay in the trade as long as the trend remains intact, while also protecting profits if the market reverses. Why would a trader prefer a trailing stoploss based on liquidity levels instead of a fixed take-profit level? Traders who use trailing stoplosses based on liquidity levels prefer this method because: 1. Market-Driven Flexibility: The stoploss follows the market structure rather than being static at a pre-defined level. This means the stoploss is less likely to be hit by small market fluctuations or false reversals. The stoploss remains adaptive, moving as the market moves. 2. Riding the Trend: Traders can capture more profit during a sustained trend because the trailing stop will adjust only when the trend starts to reverse significantly, based on key liquidity levels. This allows them to hold positions longer without prematurely locking in profits. 3. Avoiding Premature Exits: Fixed stoploss levels may exit a trade too early in volatile markets, while liquidity-based trailing stoploss levels respect the natural flow of price action, preventing the trader from exiting too soon during pullbacks or minor retracements. 🎲 Becoming the House: Gaining an Edge Over the Market In American roulette, the casino has a 5.26% edge due to the presence of the 0 and 00 pockets. On even-money bets, players face a 47.37% chance of winning, while true 50/50 odds would require a 50% chance. This edge—the gap between the payout odds and the true probabilities—ensures that, statistically, the casino will always win over time, even if individual players win occasionally. From a Trader’s Perspective In trading, your edge comes from identifying and executing setups with a positive expected value (EV). For example: • If you identify a setup with a 55.48% chance of winning and a 1:1 risk-to-reward (RR) ratio, your trade has a statistical advantage over a neutral (50/50) probability. This edge works in your favor when applied consistently across a series of trades, just as the casino’s edge ensures profitability across thousands of spins. 🎰 Applying the Concept to Trading Like casinos leverage their mathematical edge in games of chance, you can achieve long-term success in trading by focusing on setups with positive EV and managing your trades systematically. Here’s how: 1. Probability Advantage: Prioritize trades where the probability of success (win rate) exceeds the breakeven rate for your chosen risk-to-reward ratio. • Example: With a 1:1 RR, you need a win rate above 50% to achieve positive EV. 2. Risk-to-Reward Ratio (RR): Even with a win rate below 50%, you can gain an edge by increasing your RR (e.g., a 40% win rate with a 2:1 RR still has positive EV). 3. Consistency and Discipline: Just as casinos profit by sticking to their mathematical advantage over thousands of spins, traders must rely on their edge across many trades, avoiding emotional decisions or overleveraging. By targeting favorable probabilities and managing trades effectively, you “become the house” in your trading. This approach allows you to leverage statistical advantages to enhance your overall performance and achieve sustainable profitability. What Makes the Quantify Indicator Original? 1. Data-Driven Edge Unlike traditional indicators that rely on static formulas, Quantify leverages probability-based analysis and machine learning. It calculates expected value (EV) and confidence levels to help traders identify setups with a true statistical edge. 2. Integration of Market Structure Quantify uses market structure liquidity levels to dynamically adapt. It identifies key zones like swing highs/lows and liquidity traps, enabling users to align entries and exits with where the market is most likely to react. This bridges the gap between price action analysis and quantitative trading. 3. Sophisticated Risk Management The Kelly Criterion implementation is unique. Quantify allows traders to input their maximum allowed drawdown, dynamically adjusting risk exposure to maintain optimal position sizing. This ensures risk is scientifically controlled while maximizing potential growth. 4. Multi-Timeframe and Liquidity-Based Trailing Stops The indicator doesn’t just suggest fixed profit-taking levels. It offers market structure-based trailing stop-loss functionality, letting traders ride trends as long as liquidity and probabilities favor the position, which is rare in most tools. 5. Customizable Bias and Adaptive Learning • Directional Bias: Traders can set a bullish or bearish bias, and the indicator recalculates probabilities to align with the trader’s market outlook. • Adaptive Learning: The machine learning model adapts to changes in data (via resampling or bootstrap methods), ensuring that predictions stay relevant in evolving markets. 6. Positive EV Focus The focus on positive EV setups differentiates it from reactive indicators. It shifts trading from chasing signals to acting on setups that statistically favor profitability, akin to how professional quant funds operate. 7. User Empowerment Through features like customizable timeframes, real-time probability updates, and visualization tools, Quantify empowers users to make data-informed decisions. Terms and Conditions | Disclaimer Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst use, reproduction, or distribution of these proprietary elements is prohibited. By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Pine Script® göstergesi
Fractalyst tarafından
1
Advanced Physics Financial Indicator Each component represents a scientific theory and is applied to the price data in a way that reflects key principles from that theory. Detailed Explanation 1. Fractal Geometry - High/Low Signal Concept: Fractal geometry studies self-similar patterns that repeat at different scales. In markets, fractals can be used to detect recurring patterns or turning points. Implementation: The script detects pivot highs and lows using ta.pivothigh and ta.pivotlow, representing local turning points in price. The fractalSignal is set to 1 for a pivot high, -1 for a pivot low, and 0 if there is no signal. This logic reflects the cyclical, self-similar nature of price movements. Practical Use: This signal is useful for identifying local tops and bottoms, allowing traders to spot potential reversals or consolidation points where fractal patterns emerge. 2. Quantum Mechanics - Probabilistic Monte Carlo Simulation Concept: Quantum mechanics introduces uncertainty and probability into systems, much like how future price movements are inherently uncertain. Monte Carlo simulations are used to model a range of possible outcomes based on random inputs. Implementation: In this script, we simulate 100 random outcomes by generating a random number between -1 and 1 for each iteration. These random values are stored in an array, and the average of these values is calculated to represent the Quantum Signal. Practical Use: This probabilistic signal provides a sense of randomness and uncertainty in the market, reflecting the possibility of price movement in either direction. It simulates the market’s chaotic nature by considering multiple possible outcomes and their average. 3. Thermodynamics - Efficiency Ratio Signal Concept: Thermodynamics deals with energy efficiency and entropy in systems. The efficiency ratio in financial terms can be used to measure how efficiently the price is moving relative to volatility. Implementation: The Efficiency Ratio is calculated as the absolute price change over n periods divided by the sum of absolute changes for each period within n. This ratio shows how much of the price movement is directional versus random, mimicking the concept of efficiency in thermodynamic systems. Practical Use: A high efficiency ratio suggests that the market is trending smoothly (high efficiency), while a low ratio indicates choppy, non-directional movement (low efficiency, or high entropy). 4. Chaos Theory - ATR Signal Concept: Chaos theory studies how complex systems are highly sensitive to initial conditions, leading to unpredictable behavior. In markets, chaotic price movements can often be captured through volatility indicators. Implementation: The script uses a very long ATR period (1000) to reflect slow-moving chaos over time. The Chaos Signal is computed by measuring the deviation of the current price from its long-term average (SMA), normalized by ATR. This captures price deviations over time, hinting at chaotic market behavior. Practical Use: The signal measures how far the price deviates from its long-term average, which can signal the degree of chaos or extreme behavior in the market. High deviations indicate chaotic or volatile conditions, while low deviations suggest stability. 5. Network Theory - Correlation with BTC Concept: Network theory studies how different components within a system are interconnected. In markets, assets are often correlated, meaning that price movements in one asset can influence or be influenced by another. Implementation: This indicator calculates the correlation between the asset’s price and the price of Bitcoin (BTC) over 30 periods. The Network Signal shows how connected the asset is to BTC, reflecting broader market dynamics. Practical Use: In a highly correlated market, BTC can act as a leading indicator for other assets. A strong correlation with BTC might suggest that the asset is likely to move in line with Bitcoin, while a weak or negative correlation might indicate that the asset is moving independently. 6. String Theory - RSI & MACD Interaction Concept: String theory attempts to unify the fundamental forces of nature into a single framework. In trading, we can view the RSI and MACD as interacting forces that provide insights into momentum and trend. Implementation: The script calculates the RSI and MACD and combines them into a single signal. The formula for String Signal is (RSI - 50) / 100 + (MACD Line - Signal Line) / 100, normalizing both indicators to a scale where their contributions are additive. The RSI represents momentum, and MACD shows trend direction and strength. Practical Use: This signal helps in detecting moments where momentum (RSI) and trend strength (MACD) align, giving a clearer picture of the asset's direction and overbought/oversold conditions. It unifies these two indicators to create a more holistic view of market behavior. 7. Fluid Dynamics - On-Balance Volume (OBV) Signal Concept: Fluid dynamics studies how fluids move and flow. In markets, volume can be seen as a "flow" that drives price movement, much like how fluid dynamics describe the flow of liquids. Implementation: The script uses the OBV (On-Balance Volume) indicator to track the cumulative flow of volume based on price changes. The signal is further normalized by its moving average to smooth out fluctuations and make it more reflective of price pressure over time. Practical Use: The Fluid Signal shows how the flow of volume is driving price action. If the OBV rises significantly, it suggests that there is strong buying pressure, while a falling OBV indicates selling pressure. It’s analogous to how pressure builds in a fluid system. 8. Final Signal - Combining All Physics-Based Indicators Implementation: Each of the seven physics-inspired signals is combined into a single Final Signal by averaging their values. This approach blends different market insights from various scientific domains, creating a comprehensive view of the market’s condition. Practical Use: The final signal gives you a holistic, multi-dimensional view of the market by merging different perspectives (fractal behavior, quantum probability, efficiency, chaos, correlation, momentum/trend, and volume flow). This approach helps traders understand the market's dynamics from multiple angles, offering deeper insights than any single indicator. 9. Color Coding Based on Signal Extremes Concept: The color of the final signal plot dynamically reflects whether the market is in an extreme state. Implementation: The signal color is determined using percentiles. If the Final Signal is in the top 55th percentile of its range, the signal is green (bullish). If it is between the 45th and 55th percentiles, it is orange (neutral). If it falls below the 45th percentile, it is red (bearish). Practical Use: This visual representation helps traders quickly identify the strength of the signal. Bullish conditions (green), neutral conditions (orange), and bearish conditions (red) are clearly distinguished, simplifying decision-making.
Pine Script® göstergesi
Cmo22 tarafından
2
MSTR-BTC PremiumThis custom indicator, “MSTR-BTC Premium with High, Average, and Low Levels,” helps you analyze the premium of MicroStrategy Incorporated’s (MSTR) stock price in relation to its Bitcoin holdings. By comparing the market capitalization of MSTR to the value of its Bitcoin holdings (using BTCUSD from Coinbase), this indicator calculates a premium that reflects how much the stock price deviates from its Bitcoin-related value. Key Features: • Premium Line: The primary feature is the “Premium,” which shows the ratio of MSTR’s market cap relative to its Bitcoin holdings and the BTCUSD price. • High, Average, and Low Levels: The indicator calculates the highest, lowest, and average premium values over a user-defined period (default is 14 bars). These levels help identify overbought and oversold conditions relative to the stock’s Bitcoin valuation. • Visual Shading: The area between the premium line and the average is shaded, making it easier to see when the premium is above or below its typical level. Optional shading is also available between the high and low levels to visualize the price range. How to Use: • Overbought/Undervalued Conditions: When the premium line rises significantly above the average, it may indicate that MSTR stock is overbought compared to its Bitcoin holdings. Conversely, when the premium falls below the average or approaches the low line, it might signal an undervalued opportunity. • Trend and Mean Reversion: The high and low lines provide insight into extreme levels. Monitoring these alongside the average can assist in identifying potential mean reversion trades. Customization: • Calculation Period: The period for calculating the high, low, and average values can be adjusted to suit your trading strategy (default is 14). • Shading Options: By default, the area between the premium and its average is shaded. You can enable or disable the shading between the high and low as needed. This indicator is particularly useful for traders and investors following MicroStrategy (MSTR) and its Bitcoin strategy, providing a deeper understanding of the stock’s relationship to its underlying Bitcoin assets. It can assist in identifying key levels for decision-making based on deviations from historical norms. How to Add the Indicator: 1. Adjust the calculation period (default is 14) to customize the analysis according to your preferred timeframe. 2. Watch for significant deviations of the premium line from its average to identify potential overbought/oversold conditions. 3. Use the high and low levels to help gauge extreme premium values and possible mean reversion opportunities. Enjoy the analysis and make more informed decisions with the MSTR-BTC Premium Indicator! This description should be clear and informative for anyone considering using your indicator. It highlights the functionality, purpose, and customization options in a straightforward way. Let me know if you’d like to tweak or adjust any part of it!
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Tin2100 tarafından
12