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Intraday S/R Breaks (Clean)//@version=5 indicator("Intraday S/R Breaks (Clean)", overlay=true) length = input.int(6, title="Volume MA Period") showLines = input.bool(true, title="Show S/R Lines?") showZones = input.bool(false, title="Show Zones?") // Volume logic volMA = ta.sma(volume, length) // Fractal logic (basic 5-bar high/low with volume filter) isFractalUp = high > high and high > high and high > high and high > high and volume > volMA isFractalDown = low < low and low < low and low < low and low < low and volume > volMA var float resistance = na var float support = na if isFractalUp resistance := high if isFractalDown support := low // Plot lines/zones resLine = showLines and not na(resistance) ? line.new(x1=bar_index , y1=resistance, x2=bar_index, y2=resistance, extend=extend.right, color=color.red, width=1) : na supLine = showLines and not na(support) ? line.new(x1=bar_index , y1=support, x2=bar_index, y2=support, extend=extend.right, color=color.green, width=1) : na // Alerts resBreak = ta.crossover(close, resistance) supBreak = ta.crossunder(close, support) alertcondition(resBreak, title="Resistance Break", message="Resistance Break!") alertcondition(supBreak, title="Support Break", message="Support Break!") if resBreak label.new(bar_index, high, "📈 RESISTANCE BROKEN", style=label.style_label_down, color=color.red, textcolor=color.white) if supBreak label.new(bar_index, low, "📉 SUPPORT BROKEN", style=label.style_label_up, color=color.green, textcolor=color.white)
Pine Script® göstergesi
subodhbajpai tarafından
Smoothed Heiken Ashi - Multi TimeframeThis script displays Smoothed Heiken Ashi candles from three user-selectable timeframes directly on the chart. You can fully customize smoothing method, length (pre/post), and candle appearance (body, wick, border). Ideal for visual trend confirmation across multiple timeframes. Based on TAExt.heiken_ashi() from the TAExt library. 🔹 Non-repainting. 🔹 Works on all assets and timeframes. © 2025 Ben Deharde
Pine Script® göstergesi
BenDeharde tarafından
Algoguy Toolkit [CuriousB]modified QuantVue GMMA Toolkit to change the moving average bands for Algoguy specs for Scott's Zone Traders Algoguy bands are: short term: 7-14 ema in 1 step increments long term: 30-60 ema in 2 step increments the oscillator shows: trend strength in the distance away from the 0 line compression or short term, long term and both indicating market consolidation possibly affecting reversal or continuation band cross over buy and sell signals
Pine Script® göstergesi
curiousb tarafından
Volume fightThe Volume fight indicator looks for the predominance of bullish or bearish trading volume on the chart by dividing the trading volume in the bar into 2 parts - "bullish volume" and "bearish volume", and comparing the weighted average values by volume with each other at a given distance. This indicator is suitable for any instrument (cryptocurrency, Forex, stocks) and is able to work on any TF. The Volume fight indicator should be used as an auxiliary indicator that tells you who is currently prevailing in the market - " bulls "or"bears". To configure the indicator, it is necessary to set the range of evaluation of the predominance of bullish or bearish volume (the number of bars, by default-24 bars for TF=1H). The smaller the TF, the higher the range value should be used to filter out false signals. When there is a predominance of "bulls" on the chart, a green triangle appears (relevant at the close of the bar) and the histogram is highlighted in green, when "bears" appear on the chart, a red triangle appears (relevant at the close of the bar) and the histogram is highlighted in red. In the indicator settings, there is smoothing to reduce false signals and highlight the flat zone by specifying a percentage, at least which should be the difference between the forces of the "bullish" and "bearish" volume. If the difference between the volume forces is less than the specified one (by default-15%), the zone is considered flat and is displayed in gray on the histogram. If you set the percentage to zero, the flat zones will not be highlighted, but there will be much more false signals, since the indicator becomes very sensitive when the smoothing percentage decreases. There is a function-to show the color background of the current trading zone. For" bullish "- green, for" bearish " - red. In the settings, you can enable the display and use of each signal in the trading zone, not only the initial one, but also each after the flat zone. By default, only the signal of the beginning of the ascending/descending zone is used. The indicator has alerts for "bullish" and "bearish" movements. Use alerts - "Once per bar close". If you have any questions, you can write to me in private messages or by using the contacts in my signature. We are publishing this script anew, it is included in the review of the best 3 scripts for filtering false signals. youtu.be ---------------------------------------------------- Индикатор Volume fight ищет на графике преобладание бычьего или медвежьего объёма торгов путём разделения торгового объёма в баре на 2 части - "бычий объём" и "медвежий объём", и сравнения средне-взвешенных значений по объёму между собой на заданной дистанции. Данный индикатор подходит для любого инструмента (криптовалюта, Forex, акции) и способен работать на любом ТФ. Индикатор Volume fight следует использовать как вспомогательный индикатор, который подсказывает Вам кто сейчас преобладает на рынке - "быки" или "медведи". Для настройки индикатора необходимо выставить диапазон оценки преобладания бычьего или медвежьего объема (количество баров, по умолчанию - 24 бара для ТФ=1Ч). Чем меньше ТФ, тем выше следует использовать значение диапазона, чтобы отфильтровать ложные сигналы. При возникновении преобладания на графике "быков" появляется зелёный треугольник (актуален по закрытию бара) и гистограмма подсвечивается зелёным цветом, при возникновении на графике "медведей" появляется красный треугольник (актуален по закрытию бара) и гистограмма подсвечивается красным цветом. В настройках индикатора есть сглаживание для уменьшения ложных сигналов и выделения зоны флета с помощью указания процента, не менее которого, должна быть разница между силами "бычьего" и "медвежьего" объёма. Если разница между силами объёмов меньше заданного (по умолчанию - 15%), то зона считается флетовой и отображается на гистограмме серым цветом. Если выставить процент равным нулю, то зоны флета выделяться не будут, но будет гораздо больше ложных сигналов, так как индикатор становится очень чувствительным при снижении процента сглаживания. Есть функция - показывать цветовой фон текущей торговой зоны. Для "бычьего" - зелёный, для "медвежьего" - красный. В настройках можно включить отображение и использование каждого сигнал в торговой зоне, не только начального, но и каждого после зоны флета. По умолчанию - только сигнал начала восходящей/нисходящей зоны. Индикатор имеет оповещения для "бычьего" и "медвежьего" движения. Используйте оповещения - "на закрытии бара". Этот скрипт мы публикуем заново, он вошел в обзор лучших 3-х скриптов для фильтрации ложных сигналов. youtu.be
Pine Script® göstergesi
NNT_capitall tarafından
MA Crossover with Adaptive Trend Strength📘 MA Crossover with Adaptive Trend Strength — 📌 Overview This TradingView indicator plots two moving averages (Fast & Slow) with user-selected types (T3, EMA, SMA, HMA), visual crossovers, and dynamically calculates an adaptive trend strength score using Z-scores of multiple features. Optional higher timeframe (HTF) confirmation is supported. A color-filled region between the MAs visually indicates momentum direction. ⚙️ Inputs & Controls 📈 Moving Average Settings Fast MA Length: Length of the fast-moving average (default: 9). Slow MA Length: Length of the slow-moving average (default: 21). MA Type: Type of moving average used (T3, EMA, SMA, HMA). Source: Input data source (default: close). T3 Volume Factor: Only used when T3 is selected, controls smoothing (range: 0–1). 🎨 Visual Controls Bullish Fill Color: Fill color when Fast MA is above Slow MA. Bearish Fill Color: Fill color when Fast MA is below Slow MA. Show Gradient Fill: Enable or disable the colored area between Fast & Slow MAs. Trend Label Position: Choose where the trend strength label appears (top or bottom). Label Update Interval: Number of bars between label updates (reduces clutter). ⏱ Multi-Timeframe Support Higher Timeframe: Timeframe used for confirmation (default: 60 min). Use HTF Confirmation: Enables filtering of trend score by higher timeframe trend direction. 📊 Lookback Configuration Auto Lookback Based on Timeframe: Dynamically adapts scoring lookback period per chart timeframe. Manual Lookback: Manual fallback lookback length when auto is off. 🧮 MA Calculation Options T3 MA: Custom T3 function with exponential moving averages and volume factor. EMA/SMA: Built-in Pine functions (ta.ema, ta.sma). HMA: Hull Moving Average using WMA calculations. 📉 Trend Strength Calculation 🧠 Z-Score Inputs Distance between MAs (zDist) Slope of the Fast MA (zSlope) Volume (zVol) ATR (zATR) 📏 Choppiness & Adaptive Weighting A Choppiness Index (based on ATR & price range) reduces score impact in sideways markets. Dynamically adjusts Z-score weights: W1: Distance W2: Slope W3: Volume W4: ATR 🔁 HTF Confirmation Optionally multiplies the trend score by the direction of the higher timeframe trend to filter noise. 🟩 Plot & Visual Elements 📊 MA Lines Plots Fast and Slow MA lines in colors based on selected MA type. 🌈 Gradient Fill Fills the area between Fast and Slow MAs with opacity proportional to their difference. Colors based on bullish/bearish condition. 🏷️ Trend Strength Label Updates every n bars (Label Update Interval). Shows: Trend Classification: Weak, Moderate, Strong Numerical Score Label position (top or bottom) is configurable. 🔔 Crossover Signals Bullish Crossover ("B"): Fast MA crosses above Slow MA. Bearish Crossover ("S"): Fast MA crosses below Slow MA. Labels are plotted at crossover points. Old labels are removed after a threshold (100) to reduce chart clutter. 📋 Score Summary Table A table showing: Max Score within the lookback period Min Score HTF Confirmation Status (ON / OFF) Updates on the same user-defined interval as the trend label. 🚨 Alerts Condition Description Bullish MA Cross Fast MA crosses above Slow MA Bearish MA Cross Fast MA crosses below Slow MA These are provided via alertcondition() for use in alert creation. 📌 Customization Tips Turn off the gradient fill for a cleaner chart. Use HTF confirmation to reduce false positives in ranging markets. Adjust label update frequency to prevent visual clutter on faster timeframes. Use T3 MA with volume factor for smoother signals in volatile markets.
Pine Script® göstergesi
ask2maniish tarafından
UltraAlgoguy Toolkit [CuriousB]modified QuantVue GMMA Toolkit to change the moving average bands for UltraGuppy specs for Scott's Zone Traders Algoguy++ (courtesy Anthony Algoguy's updated specs) bands are: short term: 10-120 ema in 2 step increments long term: 150-300 ema in 2 step increments the oscillator shows: trend strength in the distance away from the 0 line compression or short term, long term and both indicating market consolidation possibly affecting reversal or continuation band cross over buy and sell signals
Pine Script® göstergesi
curiousb tarafından
ICT Intraday FrameworkAutomating The Basics Of ICT Intraday Concepts: NWOG/NDOG -from 4:14pm to 9:29am a line will be drawn from 4:14pm close to anticipate ndog/nwog -once 9:30am or later NDOG/NWOG is drawn with High, Mid, and Low prices -has option to extend High, Mid, and Low price lines until start of new day at 2/3pm First Presented Imbalance -draws fp imb from 9:30-10am -has option to extend High, Mid, and Low price lines until start of new day at 2/3pm Custom Macro Window -draw box around high and low of macro -first presented imbalance of macro window Future concepts im planning to add: Asia BSL/SSL Highlight
Pine Script® göstergesi
SunovaBeach tarafından
Central Bank Assets YoY % with StdDev BandsCentral Bank Assets YoY % with StdDev Bands - Indicator Documentation Overview This indicator tracks the year-over-year (YoY) percentage change in combined central bank assets using a custom formula. It displays the annual growth rate along with statistical bands showing when the growth is significantly above or below historical norms. Formula Components The indicator is based on a custom symbol combining multiple central bank balance sheets: Federal Reserve balance sheet (FRED) Bank of Japan assets converted to USD (FX_IDC*FRED) European Central Bank assets converted to USD (FX_IDC*FRED) Subtracting Fed reverse repo operations (FRED) Subtracting Treasury General Account (FRED) Calculations Year-over-Year Percentage Change: Calculates the percentage change between the current value and the value from exactly one year ago (252 trading days). Formula: ((current - year_ago) / year_ago) * 100 Statistical Measures: Mean (Average): The 252-day simple moving average of the YoY percentage changes Standard Deviation: The 252-day standard deviation of YoY percentage changes Display Components The indicator displays: Main Line: YoY percentage change (green when positive, red when negative) Zero Line: Reference line at 0% (gray dashed) Mean Line: Average YoY change over the past 252 days (blue) Standard Deviation Bands: Shows +/- 1 standard deviation from the mean Upper band (+1 StdDev): Green, line with breaks style Lower band (-1 StdDev): Red, line with breaks style Interpretation Values above zero indicate YoY growth in central bank assets Values below zero indicate YoY contraction Values above the +1 StdDev line indicate unusually strong growth Values below the -1 StdDev line indicate unusually severe contraction Crossing above/below the mean line can signal shifts in central bank policy trends Usage This indicator is useful for: Monitoring global central bank liquidity trends Identifying unusual periods of balance sheet expansion/contraction Analyzing correlations between central bank activity and market performance Anticipating potential market impacts from changes in central bank policy The 252-day lookback period (approximately one trading year) provides a balance between statistical stability and responsiveness to changing trends in central bank behavior.
Pine Script® göstergesi
luca_badoer tarafından
S&P 500 Top 25 - EPS AnalysisEarnings Surprise Analysis Framework for S&P 500 Components: A Technical Implementation The "S&P 500 Top 25 - EPS Analysis" indicator represents a sophisticated technical implementation designed to analyze earnings surprises among major market constituents. Earnings surprises, defined as the deviation between actual reported earnings per share (EPS) and analyst estimates, have been consistently documented as significant market-moving events with substantial implications for price discovery and asset valuation (Ball and Brown, 1968; Livnat and Mendenhall, 2006). This implementation provides a comprehensive framework for quantifying and visualizing these deviations across multiple timeframes. The methodology employs a parameterized approach that allows for dynamic analysis of up to 25 top market capitalization components of the S&P 500 index. As noted by Bartov et al. (2002), large-cap stocks typically demonstrate different earnings response coefficients compared to their smaller counterparts, justifying the focus on market leaders. The technical infrastructure leverages the TradingView Pine Script language (version 6) to construct a real-time analytical framework that processes both actual and estimated EPS data through the platform's request.earnings() function, consistent with approaches described by Pine (2022) in financial indicator development documentation. At its core, the indicator calculates three primary metrics: actual EPS, estimated EPS, and earnings surprise (both absolute and percentage values). This calculation methodology aligns with standardized approaches in financial literature (Skinner and Sloan, 2002; Ke and Yu, 2006), where percentage surprise is computed as: (Actual EPS - Estimated EPS) / |Estimated EPS| × 100. The implementation rigorously handles potential division-by-zero scenarios and missing data points through conditional logic gates, ensuring robust performance across varying market conditions. The visual representation system employs a multi-layered approach consistent with best practices in financial data visualization (Few, 2009; Tufte, 2001). The indicator presents time-series plots of the four key metrics (actual EPS, estimated EPS, absolute surprise, and percentage surprise) with customizable color-coding that defaults to industry-standard conventions: green for actual figures, blue for estimates, red for absolute surprises, and orange for percentage deviations. As demonstrated by Padilla et al. (2018), appropriate color mapping significantly enhances the interpretability of financial data visualizations, particularly for identifying anomalies and trends. The implementation includes an advanced background coloring system that highlights periods of significant earnings surprises (exceeding ±3%), a threshold identified by Kinney et al. (2002) as statistically significant for market reactions. Additionally, the indicator features a dynamic information panel displaying current values, historical maximums and minimums, and sample counts, providing important context for statistical validity assessment. From an architectural perspective, the implementation employs a modular design that separates data acquisition, processing, and visualization components. This separation of concerns facilitates maintenance and extensibility, aligning with software engineering best practices for financial applications (Johnson et al., 2020). The indicator processes individual ticker data independently before aggregating results, mitigating potential issues with missing or irregular data reports. Applications of this indicator extend beyond merely observational analysis. As demonstrated by Chan et al. (1996) and more recently by Chordia and Shivakumar (2006), earnings surprises can be successfully incorporated into systematic trading strategies. The indicator's ability to track surprise percentages across multiple companies simultaneously provides a foundation for sector-wide analysis and potentially improves portfolio management during earnings seasons, when market volatility typically increases (Patell and Wolfson, 1984). References: Ball, R., & Brown, P. (1968). An empirical evaluation of accounting income numbers. Journal of Accounting Research, 6(2), 159-178. Bartov, E., Givoly, D., & Hayn, C. (2002). The rewards to meeting or beating earnings expectations. Journal of Accounting and Economics, 33(2), 173-204. Bernard, V. L., & Thomas, J. K. (1989). Post-earnings-announcement drift: Delayed price response or risk premium? Journal of Accounting Research, 27, 1-36. Chan, L. K., Jegadeesh, N., & Lakonishok, J. (1996). Momentum strategies. The Journal of Finance, 51(5), 1681-1713. Chordia, T., & Shivakumar, L. (2006). Earnings and price momentum. Journal of Financial Economics, 80(3), 627-656. Few, S. (2009). Now you see it: Simple visualization techniques for quantitative analysis. Analytics Press. Gu, S., Kelly, B., & Xiu, D. (2020). Empirical asset pricing via machine learning. The Review of Financial Studies, 33(5), 2223-2273. Johnson, J. A., Scharfstein, B. S., & Cook, R. G. (2020). Financial software development: Best practices and architectures. Wiley Finance. Ke, B., & Yu, Y. (2006). The effect of issuing biased earnings forecasts on analysts' access to management and survival. Journal of Accounting Research, 44(5), 965-999. Kinney, W., Burgstahler, D., & Martin, R. (2002). Earnings surprise "materiality" as measured by stock returns. Journal of Accounting Research, 40(5), 1297-1329. Livnat, J., & Mendenhall, R. R. (2006). Comparing the post-earnings announcement drift for surprises calculated from analyst and time series forecasts. Journal of Accounting Research, 44(1), 177-205. Padilla, L., Kay, M., & Hullman, J. (2018). Uncertainty visualization. Handbook of Human-Computer Interaction. Patell, J. M., & Wolfson, M. A. (1984). The intraday speed of adjustment of stock prices to earnings and dividend announcements. Journal of Financial Economics, 13(2), 223-252. Skinner, D. J., & Sloan, R. G. (2002). Earnings surprises, growth expectations, and stock returns or don't let an earnings torpedo sink your portfolio. Review of Accounting Studies, 7(2-3), 289-312. Tufte, E. R. (2001). The visual display of quantitative information (Vol. 2). Graphics Press.
Pine Script® göstergesi
EdgeTools tarafından
BLCKBOX StochasticAnother dirty indicator that is based on the Trading View Stochtastic indicator with the addition of directional arrow indicators that show the anticipated price direction (up/down). I have released several indicators that can be used in conjunction to hopefully improve your chances of making a ton of money! BLCKBOX indicators include; BLCKBOX Buying / Selling Sentiment BLCKBOX MACD Indicator BLCKBOX Relative Strength Index BLCKBOX Crypto Bear Market Prediction BLCKBOX Stochtastic If you find this or any other indicator useful and wish to show your gratitude, you may! Doge DJwW7XazGk2R8nXjt8y5ydQfGKYSz3XV3h Litecoin ltc1qh8t4dmz8sugjcd5unn0g49985u0tz5gs6kf98y Bitcoin bc1q0deh9t9w9tm3qgd3npn7965rzel35qumez7m5v Ethereum 0xa23a7bbde03ea31f5cce4b115c8ef1ea8bc9f467 Pepe Pr7DZSXKwVGv7LYhRQ9oSuuWxUecc3Dvwq
Pine Script® göstergesi
AdamDShort tarafından
TradeNeon - Level of InterestLevel of Interest (LOI) is part of the TradeNeon Software Portfolio – built for professional futures traders. LOI highlights key price zones of institutional interest based on proprietary models and displays them directly on your chart. It helps you cut through market noise, improve timing, and focus on what truly matters: structure, context, and key decision points. Use LOI to navigate markets with clarity and confidence. Level of Interest – See what matters. Use the daily, professional market analyses to your advantage. Our experts with years of experience identify precise price areas of institutional interest. Maximize your trading potential and use these high-quality trading locations for your individual strategies. tradeneon-academy.com/level-of-interest/
Pine Script® göstergesi
l4am tarafından
All‑MA Crossover + analyzer + risk Management [quantotc]🔍 Overview All‑MA Trend Analyzer + Risk Management is a full-featured, multi-purpose trend and crossover system that lets you compare 8 different moving average types, visualize their alignment across timeframes, and apply robust risk management strategies — all in one powerful tool. 🧠 What Makes This Indicator Unique? 🔄 8 Moving Average Types — Easily switch between SMA, EMA, WMA, VWMA, HMA, RMA, SMMA, and TMA. 🟢 Signal Clarity — Buy/Sell labels appear on fast/slow MA crossovers. 📊 Dual Analysis Tables Top-right: Multi-timeframe crossover trends (15m, 1h, 4h, Daily) Bottom-right: MA type trends on current timeframe (Bull/Bear) ⚙️ Risk Management Supports fixed SL/TP or trailing stop-loss Works in % or Points Visual SL/TP/TSL exit labels with separate alerts 🎯 How to Use Select your desired MA Type (e.g., TMA, VWMA, etc.) Adjust Fast/Slow Lengths depending on your strategy Enable Long/Short entries as needed Choose SL/TP Mode: Points or Percentage Enable Trailing Stop for dynamic protection Each feature is grouped and labeled with tooltips in the settings panel for clarity. 🖼 Visual Aids A TMA Bull signal Table-based trend analysis Buy label clarity Sell label clarity Exit label on Take Profit Exit label on Stop Loss Trailing Stop Loss Exit 🚨 Alerts Included BUY / SELL TAKE PROFIT STOPLOSS TRAILING STOPLOSS Each is customizable in the settings. 👤 Developer Info Developer: quantotc Website: quantotc.com YouTube:https://youtube.com/@quantotc Tags: multi timeframe, crossover, risk management, all MA, trailing stop, bullish bearish, trend table, strategy builder ⚠️ Disclaimer This script is for educational purposes only. No guarantee of profitability. Always backtest and use proper risk management.
Pine Script® göstergesi
quantotc tarafından
The Adam Khoo Magic with Williams %RTotally inspired by Adam Khoo's analogy This is meant for the monthly bar: Where you try to find the highest point of the average recession/correction time to the bottom: average correction time to bottom: 4.2months average bear market time to bottom: 13months (default) Plot/Fill chart with the 4 tranches recommended: -8%, -15%, -21% and -35% to gauge entry point Changed that hardcoded timeframe to follow the dynamic highlength Added new way of how Adam predicts potential bottom by looking at Williams %R 52 & 13.
Pine Script® göstergesi
BarryShooshooga tarafından
BTC Breakout Alert📈 BTC Breakout & Fakeout Detector with Volume, RSI & MACD Filters This script helps identify high-confidence breakout setups by combining price action, volume spikes, and optional momentum filters (RSI & MACD). It’s designed to alert you when Bitcoin (or any asset) breaks above a defined resistance level with strong conviction — and warns you if that move turns out to be a fakeout. 🔍 Features: ✅ Confirmed Breakout Alerts: Triggers when price closes above your set resistance level with volume ≥ 1.5× the 20-period average. ⚠️ Fakeout Detection: Highlights when price closes back below resistance within a few candles after breakout. 📊 Momentum Filters: RSI > 50 for bullish confirmation MACD line > signal line to support breakout momentum 🔔 Custom Alerts: Built-in alert conditions for both breakout and fakeout events. 🔼🔽 Visual Markers: Arrows plotted directly on the chart for clear entry and caution zones. 🕒 Works on all timeframes and any asset that includes volume data. Ideal for breakout traders who want more than just a price spike — this tool ensures volume and momentum alignment, helping you reduce false signals and react with more confidence.
Pine Script® göstergesi
Clurker tarafından