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High volume zone█ OVERVIEW Show high volume zone in a lower timeframe. █ CONCEPTS 1- Choose an amount of volume (1 000 by default) 2- Choose a timeframe (1 minute by default) 3- It highlight every zone where volume was > 1000 in less than one minute █ OTHER SECTIONS Limitation: - Unfortunately, I didn't find a way to make it in a lower timeframe than 1 minute with Pinescript - It is truncate by minute so a high volume between two lower tf candles may not be count If you have a solution for these, glad to hear it.
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remilhoste tarafından
3
Volume Profile PremiumHello, my friends, this is a new fine-grained volume profile indicator. As is known to all, the volume profile indicator is a charting tool that shows how much volume has occurred at each price throughout the trading session. The volume profile indicates the prices favored by the market or those ignored by the market, which can give traders clues as to where prices are likely to go shortly. (1) Indicator description This indicator is based on the function "request.security_lower_tf". See the related usage note for details if you need it. Support for obtaining volume from a lower timeframe than the current chart and calculating a more fine-grained volume distribution Due to the increased complexity of the calculation, you need to set a reasonable timeframe to avoid calculation timeout. (2) Key parameters - Support/Resistance Clustering Max of Lookback Forward: The maximum number of historical K-lines Min Resolution (Minute): lower timeframe, unit: minute Display Volume Profile: ways to display volume profile Rows of Volume Profile: rows of volume profile Placement of Volume Profile: location of volume profile Width of Volume Profile: width of volume profile Horizontal Offset: horizontal offset of volume profile Happy trading, and enjoy your life! ———————————————————————————————————————— 各位朋友大家好，这是一个具有更高细粒度的成交量分布指标。众所周知，成交量分布是一种图表分析工具（或指标），它显示了在整个交易时段内每个价格上发生了多少成交量。 成交量分布指出了受到市场青睐的价格以及被市场忽略的价格，这可以为交易者提供有关近期价格可能走向何方的线索。 (1) 指标说明 该指标基于 request.security_lower_tf 函数，详情可以查看相关使用说明 支持从比当前图表分辨率更低的时间周期获取成交量，并计算更加细粒度的成交量分布 由于增加了计算复杂度，您需要设置合理的时间周期以避免计算超时 (2) 关键参数 - Volume Profile Parameters Max of Lookback Forward: 用于统计成交量分布的最大回顾的K线数量 Min Resolution (Minute): 细粒度的时间周期 Display Volume Profile: 展示成交量分布的方式 Rows of Volume Profile: 成交量分布的行数 Placement of Volume Profile: 成交量分布的位置 Width of Volume Profile: 成交量分布的宽度 Horizontal Offset: 成交量分布的水平偏移 祝大家交易愉快
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dandrideng tarafından
20
Volume OximeterOVERVIEW The Volume Oximeter (VOXI) is a technical indicator that gauges the amount of volume currently present in the market, relative to the historical volume that was present before. The purpose of this indicator is to filter out with-trend signals during ranging/non-trending conditions. CONCEPTS This indicator assumes that trends are more likely to start during periods of high volume, compared to during periods of low volume. This is because high volume indicates that there are bigger players currently in the market, which is necessary to begin a sustained trending move. So, to determine whether the current volume is "high", it is compared to an average volume for however number of candles back the user specifies. If the current volume is greater than the average volume, it is reasonable to assume we are in a high volume period. Thus, this is the ideal time to enter a trending trade due to the assumption that trends are more likely to start during these high volume periods. The default values in the indicator are designed for use on the daily chart but can be applied to any timeframe. The default volume lookback period is 259 since there are usually 259 daily candles in a year on Forex daily charts. This means that the average volume will represent the average volume over the past year. This would be 365 on Crypto daily charts, since the Crypto is open 24/7 instead of 24/5). This is what the current volume will be compared to. The default smoothing lookback period is 10, but this can be adjusted depending on the indicator that's giving you your with-trend signals. After my backtesting, 10 was the best value for my with-trend indicator, so you should do your own testing to see which value works best with your with-trend indicator. HOW DO I READ THIS INDICATOR? If the VOXI line is above or equal to zero (indicated by the blue color), the current volume is greater than the historical average volume. This is a good time to take with-trend signals since high volume is necessary for sustained trending moves to begin. If the VOXI line is below zero (indicated by the red color), the current volume is less than the historical average volume. This is a good time to ignore with-trend signals since an absence of volume indicates that there aren't big market participants to participate in a new trending move.
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bjr117 tarafından
Volume Filtered *All Candlestick Patterns* [KT] Hello! This script uses TradingView's *All Candlestick Patterns* indicator and includes a volume filter. The frequency of each candlestick pattern is recorded in addition to the subsequent session's outcome - higher or lower close. The requisite volume for the pattern is configurable; formations will not be distinguished when volume is less than the defined lower threshold. For example, setting the volume threshold to 10% forces the script to identify candlestick patterns in which volume for the session (candle) is 10% greater than the volume moving average. All candlestick patterns with volume less than (1.10 * volume MA) are discounted. The script counts the frequency of each pattern - the number of times the pattern occurred - in addition to the next candle's outcome. Pertinent statistics are displayed in the table, which can be hidden. I plan on working on the script quite a bit more; please comment a suggestion if you have one! What else should be included?
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KioseffTrading tarafından
19
Volumetric colored candles with matching pivot point linesCandles are split into 10 categories based on their volume, and can be changed in the options. By default and in the images, white is very high volume, reds are high volume, yellows are medium volume, greens are low and dark-grey is very low. Adjustments for scale are included in the options. The Magnitude option is a 10x multiplier, so 1=10, 2=100, 3=1000, etc., up to 9. There is also a Multiplier selection option where 1=1, 2=2, 3=3, 4=4, etc. To attenuate for a given chart, these multipliers will need to be changed. In general, all white means you need to increase the Magnitude and all dark-grey means you need to decrease the magnitude. Somewhere between those two, the Multiplier can be used for further calibration. All this color coating is relational, like a spectrum. As you adjust you will see them maintaining their proportions as the candles switch color (ex. green become yellow while yellow becomes red). I have also included pivot lines that follow the same logic for color coding. Two options exist for adjusting the pivot high and pivot low points respectively. They do not always correspond to the exact color of the candle producing them, but they should be a rough average (ie. red and green bars making yellow lines). They make for good indicators of how much liquidity may be at a certain support/resistance level. The lines can also be turned off altogether. If your candles aren't looking right, go to settings of both regular candles and heikin-ashi, and uncheck both border and wick. I still have some code to clean up and I plan on expanding upon this study. If you like my work consider tipping!
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mellowmichellehe tarafından
15
Simple Volume Oscillator (SVO), by @BlueJayBirdSimple Volume Oscillator, or SVO. I came up with this idea while studying Spread Volume Analysis (SVA). It uses the Trading View's built-in RSI function to simplify volume values for further interpretation. // -------------------- ENGLISH, Inglés How to Use: - When there's little volume activity, expect the oscillator to be closer to the zero line. - Wait for a probable sudden increment up to close 100 when volume enters into the market. - It works pretty much as a volatility oscillator, but it eliminates the noise of the price, and the noise of the volume bars, always so vertical and linear, which sometimes are hard to understand at first glance. - As any oscillator, it suffers from some lagging when compared to the price action, but for the most part is pretty accurate. - Remember the cyclical nature of markets: If things are quite, something is coming. - NOTE: The oscillator WILL NOT indicate market direction, that bias is up to the analyst to find out. - Like. Follow. Comment. // -------------------- SPANISH, Español Cómo usar: - Cuando hay poca actividad de volumen, el oscilador debería estar cercano a cero. - Esperá por un posible incremento repentino hasta 100 cuando entre volumen en el mercado. - Funciona de manera similar a un oscilador de volatilidad, pero elimina cualquier ruido del precio, y el ruido de las barras de volumen, siempre tan verticales y lineales, lo que las hace difícil de descifrar a simple vista. - Como cualquier oscilador, sufre de un ligero retraso respecto de la acción del precio, pero por lo demás, es bastante preciso. - Recordá la naturaleza cíclica de los mercados: Si las cosas están quietas, es porque algo está por suceder. - NOTA: Este oscilador NO VA A decirte qué dirección va a seguir el precio; eso es algo que vas a tener que descubrir por tu cuenta. - Like, seguí, comentá.
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BlueJayBird tarafından
6
Up/Down Volume RatioUp/Down Volume Ratio is calculated by summing volume on days when it closes up and divide that total by the volume on days when the stock closed down. High volume up days are typically a sign of accumulation(buying) by big players, while down days are signs of distribution(selling) by big market players. The Up Down volume ratio takes this assumption and turns it into a tangible number that's easier for the trader to understand. My formula is calculated using the past 50 periods, be warned it will not display a value for stocks with under 50 periods of trading history. This indicator is great for identify accumulation of growth stocks early on in their moves, most of the time you would like a growth stocks U/D value to be above 2, showing institutional sponsorship of a stock. Up/Down Volume value interpretation: U/D < 1 -> Bearish outlook, as sellers are in control U/D = 1 -> Sellers and Buyers are equal U/D > 1 -> Bullish outlook, as buyers are in control U/D > 2 -> Bullish outlook, significant accumulation underway by market makers U/D >= 3 -> MONSTER STOCK ALERT, market makers can not get enough of this stock and are ravenous to buy more U/D values greater than 2 are rare and typically do not last very long, and U/D >= 3 are extremely rare one example I kind find of a stock's U/D peaking above 3 was Google back in 2005. MAKE SURE TO HIT THE SETTINGS WHEEL AND CHECK THE BOX NEXT TO PLOT IN ORDER TO GET RID OF THE PLOTTED LINE.
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monkaOMEGA tarafından
6
Open-source Buy and Sell VolumeVersión open source de scripts anteriores / Open source version of previous scripts Confío en que esta vez no esté violando ninguna de las reglas... A pesar de que el volumen simplemente son operaciones que se realizan en un determinado espacio de tiempo, este indicador intenta separar dentro de una vela el volumen de compra y de venta. Una vez separado el volumen de cada vela el indicador se calcula en base a la media simple (larga) menos la media exponencial (corta) Los puntos azules indican posibles zonas de soporte o resistencia. ---------------------------------------------------------- Although the volume is simply operations carried out in a certain period of time, this indicator tries to separate the long and short volume into a candle. Once the volume of each candle is separated, the indicator is calculated based on the simple average (long length) minus the exponential average (short length) The blue dots indicate possible areas of support or resistance.
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oarnal tarafından
Day's Buy Sell Volume label This indicator looks simple but it was bit tricky to code and to make it work on all time frames . I have used array in this to showcase the use of array, array give you more flexibly. It works on all time frame 1m 2m 3m 5m 10m 15m 30m 60m 120m. When the time frame is greater than the or equal to "D" it will show the current bar volume only. Total volume is made up of buying volume and selling volume. Buying volume is the number of shares, contracts, or lots that were associated with buying trades, and selling volume is the number that were associated with selling trades. This indicator shows two labels green one is showing the buying volume of the current day and the red label is showing the selling volume of the current day. I am making this code available to all. This code is for Total volume is made up of buying volume and selling volume. Buying volume is the number of shares, contracts, or lots that were associated with buying trades, and selling volume is the number that were associated with selling trades. //thanks to @Doc6272 who asked to make this indicator Label
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TJalam tarafından
95
Attributable VolumeA volume indicator which calculates "Attributable Volume”, the portion of volume which contributed to the direction in which the candle moved. Attributable Volume is calculated as: Total volume excluding the "counter wick" volume. Where for a green (up) candle, the "counter wick" volume is the top wick volume. In theory, Attributable Volume should better represent the effort of directional thrust of each candle. By default, this indicator displays “Attributable RVOL”, but can be set to: Attributable RVOL RVOL Attributable Volume Volume Note: RVOL = Relative Volume, the current volume divided by the Volume moving average. RVOL can be used to identify major moves, and potential starts/ends to trends.
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capriole_charles tarafından
11
Relative Volume RVOL AlertsRelative Volume or RVOL is an indicator used to help determine the amount of volume change over a given period of time. It is often used to help traders determine how in-play a ticker is. General rule of thumb is the higher the RVOL, the more in play a stock is. I myself like to use it as a substitute of the volume indicator itself. Basic Calculation: Relative Volume = Current Volume / Average Volume Crossover Signals: Any time there is a volume spike which causes a crossover of the user set 'Smoothed Moving Average' or 'Threshold' a green/red dot will appear at the top. The color of the dot is dependent on closing of the candle. Therefore it does not necessarily mean price will continue in that direction since volume spikes often happen in peaks or valleys. Threshold: The level at which custom alerts and signal can be set. The higher the value, the more volume required to trigger. Built in Alerts: You can set custom alerts for the crossovers of the adjustable threshold, or the average RVOL band.
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oh92 tarafından
36
Ord Volume [LucF]Tim Ord came up with the Ord Volume concept. The idea is similar to Weis Wave , except that where Weis Wave keeps a cumulative tab of each wave’s successive volume columns, Ord Volume tracks the wave's average volume . Features You can choose to distinguish the area’s colors when the average is rising/falling (default). You can show an EMA of the wave averages, which is different than an EMA on raw volume. You can show (default) the last wave’s ending average over the current wave, to help in comparing relative levels. You can change the length of the trend that needs to be broken for a new wave to start, as well as the price used in trend detection. Use Cases As with Weis Wave, what I look at first are three characteristics of the waves: their length, height and slope. I then compare those to the corresponding price movements, looking for discrepancies. For example, consecutive bearish waves of equal strength associated with lesser and lesser price movements are often a good indication of an impeding reversal. Because Ord Volume uses average rather than cumulative volume, I find it is often easier to distinguish what is going on during waves, especially exhaustion at the end of waves. Tim Ord has a method for entries and exits where he uses Ord Volume in conjunction with tests of support and resistance levels. Here are two articles published in 2004 where Ord explains his technique: pr.b5z.net n.b5z.net Note Being dependent on volume information as it is currently available in Pine, which does not include a practical way to retrieve delta volume information, the indicator suffers the same lack of precision as most other Pine-built volume indicators. For those not aware of the issue, the problem is that there is no way to distinguish the buying and selling volume (delta volume) in a bar, other than by looping through inside intervals using the security() function, which for me makes performance unsustainable in day to day use, while only providing an approximation of delta volume.
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LucF tarafından
7
Accumulation/Distribution Volume (ADV) [cI8DH]This is the simplified and optimized version of my original ADV indicator. It shows both regular volume bars and the accumulated/distributed (A/D) portion of them. The equation is elegant and intuitive. It calculates candle body to candle height ratio and multiplies it by volume: volume*(close-open)/(high-low). This is the building block of my three other indicators, ADL, ADP and ADMF. - The volume bars has two shades of green and red. The dark shade shows amount of A/D and the light shade shows total volume (what you see on a regular volume indicator). When money volume is enabled, volume is multiplied by price. As you can see in the chart below, trade volume in terms of USD was growing over the past years. - Blue line is the moving average of A/D and the orange line is for total volume. When "Baseline Chart" option is enabled, this moving average is identical to ADMF indicator which can be a powerful indicator for assessing buy/sell pressure as well as money flow and volume divergences. You can turn off volume bars (from style menu) for better visibility or you can use the below indicators. Please note that ADMF is now available as a part of ADP indicator as well and I recommend using the latter since ADP can also replace CMF and MFI indicators. - If you change the aggregation to cumulative (while having money volume disabled), the gray line becomes identical to On Balance Volume (OBV) and the blue line identical to my ADL indicator. The latter I would argue is more accurate than Chaikin's ADL, William's A/D and OBV.
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cI8DH tarafından
25
Volume Based Sampling [BackQuant]Volume Based Sampling What this does This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition: Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold. Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold. The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison. Why event-based sampling matters Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular: Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds. The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds. Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks. How the indicator works (plain English) Choose your bucket type Volume : accumulate volume until it meets a threshold. Dollar Bars : accumulate close × volume until it meets a dollar threshold. Pick the threshold rule Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars). Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar). Build the synthetic bar While a bucket fills, the script tracks: o_s: first price of the bucket (synthetic open) h_s: running maximum price (synthetic high) l_s: running minimum price (synthetic low) c_s: last price seen (synthetic close) v_s: cumulative native volume inside the bucket d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled) Emit a new sample Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity. Maintain a rolling history efficiently A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable. Compute synthetic-space statistics The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time. Inputs and options you will actually use Data Settings Sampling Method : Volume or Dollar Bars. Rolling Lookback : window used to estimate the dynamic threshold from recent activity. Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes. Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target. Max Stored Samples : cap on synthetic history to keep performance snappy. Use Ring Buffer : turn on to recycle storage when at capacity. Indicator Settings SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes. Visuals Show Synthetic Bars : plot the synthetic OHLC candles. Candle Color Mode : Green/Red: directional close vs open Volume Intensity: opacity scales with synthetic size Neutral: single color Adaptive: graded by how large the bucket was relative to threshold Mark new samples : drop a small marker whenever a new synthetic bar prints. Comparison & Research Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ. How to read it, step by step Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars. Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information. Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility. Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument. Quant finance background and citations Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars. Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management. AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca ) Practical use cases 1) Regime-aware moving averages The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation. 2) Breakout logic on “equal-information” samples The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets. 3) Volatility-adaptive backtests If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream). 4) Regime diagnostics Avg Bars per Sample trending down: activity is dense; expect larger realized ranges. Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk. Interpreting the info panel Method : your sampling choice and current threshold. Total Samples : how many synthetic bars have been formed. Current Vol/Dollar : how much of the next bucket is already filled. Bars in Bucket : native bars consumed so far in the current bucket. Avg Bars/Sample : lower means higher trading intensity. Avg Return / Return StdDev : return stats computed over synthetic closes . Research directions you can build from here Imbalance and run bars Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets Volume-time indicators Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes. Liquidity and toxicity overlays Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated. Dollar-risk parity sampling for portfolios Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering. Microstructure feature set Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca ) Tips for clean usage Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale. Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time. Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
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BackQuant tarafından
Breakout Volume 指标名称：Breakout Volume (BrkVol) 功能：本指标用于识别成交量异常放大，同时结合价格新高，帮助交易者发现潜在突破机会。 主要特性： 可调成交量均线周期（MA Length） 可调放量倍数（Volume Multiplier） 可调价格新高周期（Lookback High Length） 成交量柱颜色区分：绿色=阳线放量，红色=阴线放量，灰色=无信号 蓝色均量阈值线，可直观比较放量情况 出现成交量突破 + 新高时，图表上显示绿色三角形标记 支持提醒功能，可在条件触发时收到通知 使用建议： 调整参数以适应不同品种和时间周期 可结合趋势、支撑阻力位使用，避免假信号 适合快速发现短线或中长线突破机会 English Description Name: Breakout Volume (BrkVol) Function: This indicator detects unusual volume spikes combined with new highs in price, helping traders identify potential breakout opportunities. Key Features: Adjustable moving average period (MA Length) for volume Adjustable volume multiplier (Volume Multiplier) Adjustable lookback period for price highs (Lookback High Length) Color-coded volume bars: Green = bullish candle with volume breakout, Red = bearish candle with volume breakout, Gray = normal volume Blue threshold line (volume MA × multiplier) for easy comparison Green triangle marker appears when both volume breakout and new high conditions are met Supports alerts for real-time notifications Usage Tips: Adjust parameters to suit different symbols and timeframes Combine with trend or support/resistance levels to reduce false signals Useful for spotting short-term or medium/long-term breakout opportunities
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jlysqs tarafından
Volume Footprint Anomaly Scanner [PhenLabs]📊 PhenLabs - Volume Footprint Anomaly Scanner (VFAS) Version: PineScript™ v6 📌 Description The PhenLabs Volume Footprint Anomaly Scanner (VFAS) is an advanced Pine Script indicator designed to detect and highlight significant imbalances in buying and selling pressure within individual price bars. By analyzing a calculated "Delta" – the net difference between estimated buy and sell volume – and employing statistical Z-score analysis, VFAS pinpoints moments when buying or selling activity becomes unusually dominant. This script was created not in hopes of creating a "Buy and Sell" indicator but rather providing the user with a more in-depth insight into the intrabar volume delta and how it can fluctuate in unusual ways, leading to anomalies that can be capitalized on. This indicator helps traders identify high-conviction points where strong market participants are active, signaling potential shifts in momentum or continuation of a trend. It aims to provide a clearer understanding of underlying market dynamics, allowing for more informed decision-making in various trading strategies, from identifying entry points to confirming trend strength. 🚀 Points of Innovation ●​ Z-Score for Delta Analysis : Utilizes statistical Z-scores to objectively identify statistically significant anomalies in buying/selling pressure, moving beyond simple, arbitrary thresholds. ●​ Dynamic Confidence Scoring : Assigns a multi-star confidence rating (1-4 stars) to each signal, factoring in high volume, trend alignment, and specific confirmation criteria, providing a nuanced view of signal strength. ●​ Integrated Trend Filtering : Offers an optional Exponential Moving Average (EMA)-based trend filter to ensure signals align with the broader market direction, reducing false positives in ranging markets. ●​ Strict Confirmation Logic : Implements specific confirmation criteria for higher-confidence signals, including price action and a time-based gap from previous signals, enhancing reliability. ●​ Intuitive Info Dashboard : Provides a real-time summary of market trend and the latest signal's direction and confidence directly on the chart, streamlining information access. 🔧 Core Components ●​ Core Delta Engine : Estimates the net buying/selling pressure (bar Delta) by analyzing price movement within each bar relative to volume. It also calculates average volume to identify bars with unusually high activity. ●​ Anomaly Detection (Z-Score) : Computes the Z-score for the current bar's Delta, indicating how many standard deviations it is from its recent average. This statistical measure is central to identifying significant anomalies. ●​ Trend Filter : Utilizes a dual Exponential Moving Average (EMA) cross-over system to define the prevailing market trend (uptrend, downtrend, or range), providing contextual awareness. ●​ Signal Processing & Confidence Algorithm : Evaluates anomaly conditions against trend filters and confirmation rules, then calculates a dynamic confidence score to produce actionable, contextualized signal information. 🔥 Key Features ●​ Advanced Delta Anomaly Detection : Pinpoints bars with exceptionally high buying or selling pressure, indicating potential institutional activity or strong market conviction. ●​ Multi-Factor Confidence Scoring : Each signal comes with a 1-4 star rating, clearly communicating its reliability based on high volume, trend alignment, and specific confirmation criteria. ●​ Optional Trend Alignment : Users can choose to filter signals, so only those aligned with the prevailing EMA-defined trend are displayed, enhancing signal quality. ●​ Interactive Signal Labels : Displays compact labels on the chart at anomaly points, offering detailed tooltips upon hover, including signal type, direction, confidence, and contextual information. ●​ Customizable Bar Colors : Visually highlights bars with Delta anomalies, providing an immediate visual cue for strong buying or selling activity. ●​ Real-time Info Dashboard : A clean, customizable dashboard shows the current market trend and details of the latest detected signal, keeping key information accessible at a glance. ●​ Configurable Alerts : Set up alerts for bullish or bearish Delta anomalies to receive real-time notifications when significant market pressure shifts occur. 🎨 Visualization Signal Labels : * Placed at the top/bottom of anomaly bars, showing a "📈" (bullish) or "📉" (bearish) icon. * Tooltip: Hovering over a label reveals detailed information: Signal Type (e.g., "Delta Anomaly"), Direction, Confidence (e.g., "★★★☆"), and a descriptive explanation of the anomaly. * Interpretation: Clearly marks actionable signals and provides deep insights without cluttering the chart, enabling quick assessment of signal strength and context. ●​ Info Dashboard : * Located at the top-right of the chart, providing a clean summary. * Displays: "PhenLabs - VFAS" header, "Market Trend" (Uptrend/Downtrend/Range with color-coded status), and "Direction | Conf." (showing the last signal's direction and star confidence). * Optional "💡 Hover over signals for details" reminder. * Interpretation: A concise, real-time summary of the market's pulse and the most recent high-conviction event, helping traders stay informed at a glance. 📖 Usage Guidelines Setting Categories ⚙️ Core Delta & Volume Engine ●​ Minimum Volume Lookback (Bars) ○​ Default: 9 ○​ Range: Integer (e.g., 5-50) ○​ Description: Defines the number of preceding bars used to calculate the average volume and delta. Bars with volume below this average won't be considered for high-volume signals. A shorter lookback is more reactive to recent changes, while a longer one provides a smoother average. 📈 Anomaly Detection Settings Delta Z-Score Anomaly Threshold ○​ Default: 2.5 ○​ Range: Float (e.g., 1.0-5.0+) ○​ Description: The number of standard deviations from the mean that a bar's delta must exceed to be considered a significant anomaly. A higher threshold means fewer, but potentially stronger, signals. A lower threshold will generate more signals, which might include less significant events. Experiment to find the optimal balance for your trading style. 🔬 Context Filters Enable Trend Filter ○​ Default: False ○​ Range: Boolean (True/False) ○​ Description: When enabled, signals will only be generated if they align with the current market trend as determined by the EMAs (e.g., only bullish signals in an uptrend, bearish in a downtrend). This helps to filter out counter-trend noise. ●​ Trend EMA Fast ○​ Default: 50 ○​ Range: Integer (e.g., 10-100) ○​ Description: The period for the faster Exponential Moving Average used in the trend filter. In combination with the slow EMA, it defines the trend direction. ●​ Trend EMA Slow ○​ Default: 200 ○​ Range: Integer (e.g., 100-400) ○​ Description: The period for the slower Exponential Moving Average used in the trend filter. The relationship between the fast and slow EMA determines if the market is in an uptrend (fast > slow) or downtrend (fast < slow). 🎨 Visual & UI Settings ●​ Show Info Dashboard ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Toggles the visibility of the dashboard on the chart, which provides a summary of market trend and the last detected signal. ●​ Show Dashboard Tooltip ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Toggles a reminder message in the dashboard to hover over signal labels for more detailed information. ●​ Show Delta Anomaly Bar Colors ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Enables or disables the coloring of bars based on their delta direction and whether they represent a significant anomaly. ●​ Show Signal Labels ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Controls the visibility of the “📈” or “📉” labels that appear on the chart when a delta anomaly signal is generated. 🔔 Alert Settings ​ Alert on Delta Anomaly ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: When enabled, this setting allows you to set up alerts in TradingView that will trigger whenever a new bullish or bearish delta anomaly is detected. ✅ Best Use Cases ​ Early Trend Reversal / Continuation Detection: Identify strong surges of buying/selling pressure at key support/resistance levels that could indicate a reversal or the continuation of a strong move. ●​ Confirmation of Breakouts: Use high-confidence delta anomalies to confirm the validity of price breakouts, indicating strong conviction behind the move. ●​ Entry and Exit Points: Pinpoint precise entry opportunities when anomalies align with your trading strategy, or identify potential exhaustion signals for exiting trades. ●​ Scalping and Day Trading: The indicator’s sensitivity to intraday buying/selling imbalances makes it highly effective for short-term trading strategies. ●​ Market Sentiment Analysis: Gain a real-time understanding of underlying market sentiment by observing the prevalence and strength of bullish vs. bearish anomalies. ⚠️ Limitations Estimated Delta: The script uses a simplified method to estimate delta based on bar close relative to its range, not actual order book or footprint data. While effective, it’s an approximation. ●​ Sensitivity to Z-Score Threshold: The effectiveness heavily relies on the `Delta Z-Score Anomaly Threshold`. Too low, and you’ll get many false positives; too high, and you might miss valid signals. ●​ Confirmation Criteria: The 4-star confidence level’s “confirmation” relies on specific subsequent bar conditions and previous confirmed signals, which might be too strict or specific for all contexts. ●​ Requires Context: While powerful, VFAS is best used in conjunction with other technical analysis tools and price action to form a comprehensive trading strategy. It is not a standalone “buy/sell” signal. 💡 What Makes This Unique Statistical Rigor: The application of Z-score analysis to bar delta provides an objective, statistically-driven way to identify true anomalies, moving beyond arbitrary thresholds. ●​ Multi-Factor Confidence Scoring: The unique 1-4 star confidence system integrates multiple market dynamics (volume, trend alignment, specific follow-through) into a single, easy-to-interpret rating. ●​ User-Friendly Design: From the intuitive dashboard to the detailed signal tooltips, the indicator prioritizes clear and accessible information for traders of all experience levels. 🔬 How It Works 1. Bar Delta Calculation: ●​ The script first estimates the “buy volume” and “sell volume” for each bar. This is done by assuming that volume proportional to the distance from the low to the close represents buying, and volume proportional to the distance from the high to the close represents selling. ●​ How this contributes: This provides a proxy for the net buying or selling pressure (delta) within that specific price bar, even without access to actual footprint data. 2. Volume & Delta Z-Score Analysis: ●​ The average volume over a user-defined lookback period is calculated. Bars with volume less than twice this average are generally considered of lower interest. ●​ The Z-score for the calculated bar delta is computed. The Z-score measures how many standard deviations the current bar’s delta is from its average delta over the `Minimum Volume Lookback` period. ●​ How this contributes: A high positive Z-score indicates a bullish delta anomaly (significantly more buying than usual), while a high negative Z-score indicates a bearish delta anomaly (significantly more selling than usual). This identifies statistically unusual levels of pressure. 3. Trend Filtering (Optional): ●​ Two Exponential Moving Averages (Fast and Slow EMA) are used to determine the prevailing market trend. An uptrend is identified when the Fast EMA is above the Slow EMA, and a downtrend when the Fast EMA is below the Slow EMA. ●​ How this contributes: If enabled, the indicator will only display bullish delta anomalies during an uptrend and bearish delta anomalies during a downtrend, helping to confirm signals within the broader market context and avoid counter-trend signals. 4. Signal Generation & Confidence Scoring: ●​ When a delta Z-score exceeds the user-defined anomaly threshold, a signal is generated. ●​ This signal is then passed through a multi-factor confidence algorithm (`f_calculateConfidence`). It awards stars based on: high volume presence, alignment with the overall trend (if enabled), and a fourth star for very strong Z-scores (above 3.0) combined with specific follow-through candle patterns after a cooling-off period from a previous confirmed signal. ●​ How this contributes: Provides a qualitative rating (1-4 stars) for each anomaly, allowing traders to quickly assess the potential significance and reliability of the signal. 💡 Note: The PhenLabs Volume Footprint Anomaly Scanner is a powerful analytical tool, but it’s crucial to understand that no indicator guarantees profit. Always backtest and forward-test the indicator settings on your chosen assets and timeframes. Consider integrating VFAS with your existing trading strategy, using its signals as confirmation for entries, exits, or trend bias. The Z-score threshold is highly customizable; lower values will yield more signals (including potential noise), while higher values will provide fewer but potentially higher-conviction signals. Adjust this parameter based on market volatility and your risk tolerance. Remember to combine statistical insights from VFAS with price action, support/resistance levels, and your overall market outlook for optimal results.
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