TIME-Trading Indicator + AlertsWhat it is
A Pine Script study that profiles intraday behavior by day+time windows in CET/CEST, verifies it on history, colors the chart by the expected bias & strength, shows tables/heatmaps with backtest stats, and can alert at the start of each window with a full trading summary.
Core ideas
Day is split into 7 CET windows: 0–6, 6–9, 9–12, 12–15, 15–18, 18–22, 22–24
(NYC is unified as 15–18 and 18–22 across the whole script.)
For each weekday & window we have an expectation (Bull/Bear/Neutral/Chop) with a strength 1–5 and a label (e.g., “Skokový rast”, “Výplach”…).
Script backtests those expectations on your chart’s history:
Computes return of each window (log-return from first bar open to last bar close of the window).
Counts Hit-rate (bull window = return>0; bear window = return<0; neutral/chop excluded).
Tracks Avg % drift, t-stat, and sample size N.
Trend regime (Auto/Manual)
Auto (EMA): price vs EMA(length) on a higher timeframe (configurable) + optional slope filter.
Manual override: Bull / Bear / Neutral.
Regime is read without look-ahead (uses previous bar’s regime when closing a window).
What you see
Background shading of the current window
– color family by category (green=bull, red=bear, gray=neutral, orange=chop), shade by strength 1–5.
Optional labels on window change with regime + label text (“Bull • Najsilnejší rast týždňa”).
Forecast panel (bottom-right) listing the next X windows with label & strength.
Results tables (three views):
Heatmap 7×7 (default): weekday × window grid, each cell shows one metric (toggle among Hit-rate / Avg % / t-stat).
Deň (stránkovanie): full stats for a single day (N, Hit-rate, Avg %, t, label).
Split 2× (dlhá): two stacked tables (Mon–Thu, Fri–Sun) to fit small screens.
Alerts (window start)
Optionally fire at the start of every window.
Message includes: weekday + window, expectation label, strength, current regime, recommended action (Long/Short/Wait), Hit-rate %, Avg %, and N.
Create alerts in TV with Condition → Any alert() function call (so the script’s dynamic text is used).
Optional filters (easy to add/adjust): min N, min Hit-rate, only Bull/Bear windows.
Inputs you control
Regime mode, EMA length, higher-TF for trend check, require EMA slope.
CET/CEST timezone (uses “Europe/Bratislava” by default).
Toggles: background, labels, forecast, results view, table text size, heatmap metric.
Alert enable; (we can add min-N / min-HR filters if you want them by default).
How stats are computed (important)
A window’s return is measured strictly inside the window (open of first bar → close of last bar).
The window is credited to the correct weekday even across midnight.
Hit-rate uses only directional windows (Bull/Bear). Neutral/Chop are excluded.
Best practices
Use chart TF that divides an hour (5/15/30/60m) so window boundaries align cleanly.
Read the heatmap primarily by Hit-rate (signal reliability) and cross-check with Avg % (effect size) and t-stat (significance).
Trade at the start of a strong window in the direction of the current regime, exit time-based (end of window) or on PT/SL.
If you want, I can also:
mask/show only cells with N ≥ threshold,
add NYC sub-split toggle off/on,
export stats to CSV,
or add webhooks-friendly compact alert strings.
インジケーターとストラテジー
EMA+MACD动态0轴主图动态MACD，EMA55作为当前周期动态0轴使用。EMA13作为小4倍周期动态0轴。当前周期DIF线穿越0轴标记+MACD金死叉标记。
The main chart dynamic MACD and EMA55 are used as the dynamic 0-axis for the current cycle. EMA13 is used as the dynamic 0- axis for the smaller 4x cycle. The current cycle's DIF line has crossed the 0-axis, marked with a "+" sign indicating a golden cross on the MACD.
Asia Risk MonitorAsia Risk Monitor for all those monitoring the financial situation in the US, looking for a clue of a move to the down or upside.
First week of the yearA very simple indicator that marks a channel on the candlestick for the first week of the year.
The channel can serve as an entry/exit point with a medium and long term focus.
Note: This indicator should be observed exclusively on the weekly timeframe.
DASM MACDMACD rules:
The main trend is bullish when the MACD is above the zero line, and bearish when it’s below.
The histogram shows when a trend starts and when it’s losing strength.
The background color highlights the trend direction.
The EMA is easy to read — green means buy, red means sell.
For scalping, it’s best used during high-volume hours (9:30–11:00 New York time).
DASM CODE BUY/SELL EMASimple, Just Buy/Sell
For scalping, it’s best used during high-volume hours (9:30–11:00 New York time).
MANOLES MINDSETBEST STRATEGY AT SUPPORTS “This indicator combines Bollinger Bands, RSI, Stochastic RSI, MACD, and a Moving Average to identify potential buy/sell points. It also includes alert conditions for trade signals.”
DragonEye Strategy — Advanced Multi-Signal Trading SystemDragonEye Strategy combines Squeeze Momentum, Chandelier Exit, and Volume Confirmation into one smart trading system.
Detects market squeezes, confirms breakout direction, and manages trades with multi-level take-profit & stop logic.
Built for precision entries and adaptive exits. Perfect for trend followers and breakout traders.
#MS Topping Tail DetectorShows potential Topping Tails. A topping tail is a candlestick pattern feature often seen on price charts that signals potential selling pressure or a reversal from an uptrend. Here’s how it works:
🔍 Definition
A topping tail (also called an upper shadow or wick) is the thin line above the candlestick body showing how high the price went during a trading period before sellers pushed it back down.
It indicates that buyers were in control early, but sellers took over, causing the price to fall from its high before the close.
Relative Strength Ratio • Leader Shift Signals## Overview
This indicator computes a **Relative Strength (RS) ratio** between your chart’s symbol and a reference symbol (e.g. BTC or index), then overlays an EMA-based trend filter and detects **RS divergences** via RSI on that ratio. It highlights when your symbol is leading vs lagging, and spots potential turning points via bullish/negative divergences. No alerts are forced, you get visual cues (lines & labels) only.
---
## How It Works
1. **RS Ratio** = (base symbol price) ÷ (reference symbol price).
2. Two EMAs (fast & slow) filter trend context and help identify “leader shifts” (when ratio crosses the fast EMA under trend constraints).
3. **RSI on the ratio** is used to detect divergences. We find swing highs/lows in the *ratio* and compare their RSI values:
* **Bearish RS divergence**: ratio makes a higher high, but RSI makes a lower high
* **Bullish RS divergence**: ratio makes a lower low, but RSI makes a higher low
4. When divergence is confirmed, the script draws connecting lines (and optional markers) on the RS ratio pane to visually flag them.
5. You can customize pivot sensitivity, minimum separation, colors, and toggles for which graphics to show.
---
## Best Usage Suggestions
* Use a **reference symbol** that is meaningfully related (e.g. BTC for altcoins, SPX for equities, or a sector index for a stock). The interpretive power comes from seeing relative strength vs a meaningful peer.
* On **higher timeframes** (4H, daily), divergences tend to carry more weight. On lower intraday charts, tighten pivot settings to avoid noise.
* Prefer divergence signals when the RS ratio is also in a favorable trend (e.g. above its EMA for bullish divergences, below for bearish). Using the trend filter EMAs helps reduce false signals.
* Always confirm divergence signals with **price structure, volume, or other momentum indicators**. Divergence is a warning or a hint—not a standalone trigger.
* Because RSI on ratio is subject to noise, avoid over-tuning pivots too tight; broader pivot widths give more robust divergence lines.
---
## Inputs & Customization
* **Reference Symbol & Timeframe** for ratio comparison
* **Fast EMA / Slow EMA lengths** and slope threshold (trend filter)
* **RSI length** applied to the RS ratio
* **Pivot left / right bars** and **min separation** to define sturdy swings
* **Toggle lines / markers** visibility, and pick colors for divergence, ratio, EMAs
* Optional “shade” or fill modes (if you have them)
---
## Limitations & Disclaimers
* Divergence does **not guarantee** reversals—it often signals **weakening momentum or potential turning zones**, which may not always play out.
* In extremely volatile or fast-moving markets, divergence lines may lag or fail.
* The script relies on historical data (no future lookahead). Because pivots are confirmed after a few bars, some signals show with delay.
* As always: combine with price action, structure, risk management. This is a tool—not a magic eight ball.
---
Mean Reverting Suite [OmegaTools]Overview
The Mean Reverting Suits (MR Suite) by OmegaTools is an advanced analytical and visualization framework designed to identify directional exhaustion, statistical overextensions, and conditions consistent with mean-reversion dynamics. It integrates three pillars into a single display: a composite momentum-normalized oscillator, a percentile-based extension model with volume contextualization, and a dynamic structural mapping engine built on confirmed pivots. The indicator does not generate signals or prescribe trade actions; it provides objective context so users can evaluate market balance and the likelihood that price is departing from its recent statistical baseline.
Core logic
The composite oscillator blends MFI on two horizons and RSI on HL2, then averages them to produce a stabilized mean-reversion gauge. Candle and bar colors are mapped by a dual gradient centered at 50. Readings above 50 progressively shift from neutral gray toward the bearish accent color to reflect increasing momentum saturation; readings below 50 shift from the bullish accent color toward gray to reflect potential accumulation or temporary undervaluation. This continuous mapping avoids rigid thresholds and conveys the strength and decay of momentum as a smooth spectrum.
The percentile-based extension model measures the persistence of directional bias by tracking how many bars have elapsed since the last opposing condition. These rolling counts are compared to the 80th percentile of their own historical distributions stored in arrays. When a current streak exceeds its respective percentile, the environment is labeled as statistically extended in that direction. Background shading communicates this information and is modulated by relative volume, computed as live volume divided by a blended average of SMA(30) and EMA(11). Higher opacity implies greater liquidity participation during the extension.
The structural mapping module uses confirmed pivot highs and lows at the chosen length to create persistent horizontal levels that extend forward and automatically maintain themselves until price invalidates or refreshes them. These levels represent market memory zones and assist in reading where reactions previously formed. The engine updates in real time, ensuring the framework continuously reflects the prevailing structure.
Standard deviation and z-score overlay
The updated version introduces a mean and dispersion layer. A simple moving average of HL2 over twice the length provides the reference mean. Dispersion is estimated as the moving average of the absolute deviation between close and the mean over five times the length. The z-score is computed as the distance of price from the mean divided by this dispersion proxy. Visual arrows highlight observations where the absolute z-score exceeds two standard deviations, offering a concise view of statistically unusual departures from the local mean. This layer complements the percentile extension model by adding an orthogonal measure of extremity based on distributional distance rather than run length.
Visualization
Candle bodies and borders inherit the oscillator’s gradient color, creating an immediate sense of directional pressure and potential momentum fatigue. The chart background activates when the extension model detects a statistically rare streak, using blue tones for bearish extension and red tones for bullish extension, with intensity scaling by relative volume. Horizontal lines denote active pivot-based levels, automatically extending, truncating, and refreshing as structure evolves. The z-score arrows appear only when deviations exceed the ±2 threshold, keeping the display focused on noteworthy statistical events.
Inputs and configuration
Length controls the sensitivity of all modules. Lower values make the oscillator and pivot detection more reactive; higher values smooth readings and widen structural context. Bullish and Bearish colors are user-selectable to match platform themes or accessibility requirements.
Interpretation guidance
A strong red background indicates an unusually extended bullish run in the presence of meaningful volume; a strong blue background indicates an unusually extended bearish run in the presence of meaningful volume. Candle gradients near deep bearish tones suggest oscillator readings well above 50; gradients near deep bullish tones suggest oscillator readings well below 50. Pivot lines mark the most recently confirmed structural levels that the market has reacted to. Z-score arrows denote points where price has moved beyond approximately two standard deviations of its local mean, signaling statistically uncommon distance rather than directional persistence. None of these elements are directives; they are objective descriptors designed to improve situational awareness.
Advantages
The framework is adaptive by design and self-normalizes to each instrument’s volatility and rhythm through percentile logic and dispersion-based distance. It is volume-aware, visually encoding liquidity pressure so that users can distinguish thin extensions from structurally significant ones. It reduces chart clutter by unifying momentum state, statistical extension, standard deviation distance, and structural levels into a single coherent view. It is asset- and timeframe-agnostic, suitable for intraday through swing horizons across futures, equities, FX, and digital assets.
Usage notes
MR Suite is intended for analytical and educational purposes. It does not provide trading signals, risk parameters, or strategy instructions. Users may employ its context alongside their own methodologies, risk frameworks, and execution rules. The indicator’s value derives from quantifying how unusual a move is, showing how much liquidity supports it, and anchoring that information to evolving structural references, thereby improving the clarity and consistency of discretionary assessment without prescribing actions.
Adaptive Z-Momentum (AZM) [Blk0ut]Adaptive Z-Momentum (AZM) is a momentum indicator that expresses the normalized deviation of price from a dynamic anchor (VWAP or EMA) in standard-score (z-score) terms, with adaptive “extreme” thresholds, trend sensitivity, and optional regime filtering. The line color, background shading, and labels help you visually discern when momentum is mild, building, or overextended.
---
## Features & Concept
* Computes **z = (price – anchor) / σ**, where the anchor is either Session VWAP (intraday) or EMA (non-intraday).
* Uses exponential moving averages (EWMA) to adaptively estimate the running mean and variance, making the indicator responsive to regime changes.
* Defines an **adaptive extreme threshold** (±z threshold) based on the chosen percentile of |z| over a lookback window (e.g. 90th percentile) — dynamically adjusting to volatility environment.
* Colors the main z-line **differently when inside vs. outside the extreme thresholds**, giving immediate visual feedback.
* Optionally shades the background when momentum is over the extremes (bullish or bearish).
* Supports a **self-tuning mode** (ADX-aware) that tightens or relaxes lookback/smoothing in strong trend vs. chop regimes.
* Regime filtering options (EMA slope or ADX threshold) let you filter signals in trend vs. non-trend markets.
* Plots Δz (the change in z) in various styles to help detect acceleration or deceleration in momentum.
* Adds optional thrust/fade labels to highlight when z crosses ±extreme zones, or when momentum stalls.
---
## How to Use
* Look for **z crossing** above zero (bullish momentum) or below zero (bearish momentum).
* When **z enters the extreme band**, it suggests strong momentum; when it exits, that may indicate exhaustion or reversal.
* Watch **Δz** (momentum acceleration) for clues of weakening or strengthening momentum before z itself reacts.
* Use the **regime filter** to enforce that signals only count in favorable directional markets.
* Customize inputs: lookback window, smoothing length, extreme percentile, ADX/auto settings, colors, etc., to match your trading style and timeframe.
*Use VWAP as the anchor on intraday/session charts — because it resets each session, it highlights deviations from session “fair value” and captures volume-flow bias.
*Use EMA on swing or multi-day charts — it doesn’t reset, so it preserves trend structure and gives a smoother momentum baseline across sessions.
*In trending markets, EMA tends to deliver more reliable momentum extremes; in range or mean-reversion regimes, VWAP often gives more intuitive reversal zones.
---
## Limitations & Disclaimers
* Like all indicators, AZM is **lagging** (though adaptive) and should not be used as a standalone entry/exit trigger — always combine with price action, structure, or confirmation.
* The extreme thresholds are **percentile-based**, meaning in very quiet or very noisy periods, “extreme” may shift rapidly; use your eyes alongside the indicator.
* Because the script uses historical data and smoothing, earlier bars may differ from real-time behavior.
* Past behavior is no guarantee of future performance. Use proper risk management and test ideas on historical data before trading live.
---
## Inputs & Customization
* **Anchor** mode: Session VWAP (intraday) or EMA
* **Lookback window** and **smoothing EMA** for computing z
* **Extreme percentile** (e.g. 90) to define ±z thresholds
* **Auto / ADX-based tuning** to allow dynamic parameter changes in trending vs chop markets
* **Regime filter** (EMA slope or ADX) to restrict signals to trending conditions
* **Color settings** for inside vs outside extremes, background shading, zero line, Δz style, labels, etc.
* **Show/hide labels**, choose Δz style (columns, histogram, line, etc.)
---
## Why It’s Useful
By combining standard-score normalization with adaptive thresholds and regime sensitivity, AZM helps you see **relative momentum extremes** in a way that adjusts to market regime shifts. The dual visual cues (line color + background) reduce ambiguity at a glance.
---
ICT Levels Breach Scanner (12M Timeframe)Detects and scans for breaches of key Inner Circle Trader (ICT) concepts on the yearly (12M) chart: Swing Lows (3-bar wick pivots), Rejection Blocks (3-bar body pivots), Fair Value Gaps (3-bar inefficiencies), and Volume Imbalances (bullish body gaps ≥0.15%, unmitigated).
Features:
Tracks active levels with arrays for real-time breach detection (price low below any level triggers alert).
Visuals: Blue solid lines (Swing Lows), orange dashed (Rejection Blocks), purple dotted (FVGs), green boxes (VIs)—all extending right.
Red triangle + bgcolor alert on breach bar; built-in alertcondition for notifications.
Optimized for Pine Screener: Filter stocks (e.g., US exchanges) showing symbols where price has traded below these levels on the latest 12M bar.
Usage: Apply to a 12M chart for viz, or add to Screener > Pine tab for multi-symbol scans. Customize gap % or add bearish variants via inputs. Ideal for spotting potential support in long-term trends.
ICT-inspired; test on liquid stocks like AAPL/TSLA. Not financial advice.
3DMA % Declining Issues (Diodato 2019)Description:
This script is a faithful implementation of the "3-DMA % Declining Issues" indicator from Chris Diodato's 2019 CMT paper, "Making The Most Of Panic." It is a simple but highly effective short-term panic meter based on market breadth.
What It Is
This indicator first calculates the percentage of total traded issues on the NYSE that were decliners for that day. It then plots a 3-day simple moving average of that percentage. The result is a 0-100 scale indicator that provides a clear visual of the intensity of recent, widespread selling pressure.
How to Interpret
Unlike a typical "oversold" oscillator where low is a signal, with this indicator, a high value indicates panic.
Panic Spikes: A sharp spike upward suggests that a very large portion of the market is selling off simultaneously. The paper found that when this indicator exceeded 65%, 70%, or 75%, it often marked a point of extreme short-term panic that presented a buying opportunity.
Panic Threshold: The script includes a customizable "Panic Threshold" line (defaulting to 65) to help you instantly spot these events.
Settings
Data Sources: Allows toggling the use of "Unchanged" issues data.
Thresholds: You can set the "Panic Threshold" line to your preferred level (e.g., 65, 70, 75).
Short-Term Capitulation Oscillator (STCO, Diodato 2019)Description:
This script is a faithful implementation of the Short-Term Capitulation Oscillator (STCO) from Chris Diodato's 2019 CMT paper, "Making The Most Of Panic". It's a tactical breadth and volume oscillator designed to "fish for market bottoms" by identifying short-term investor capitulation.
What It Is
The STCO combines the 10-day moving averages of NYSE up-volume and advancing issues. It measures the ratio of advancing momentum (in both volume and number of issues) relative to the total traded momentum. The result is a raw, un-normalized oscillator that typically ranges from 0 to 200.
How to Interpret
The STCO is a tactical tool for identifying near-term oversold conditions and potential bounces.
Low Readings: Indicate that sellers have likely exhausted themselves in the short term, creating a potential entry point for a bounce. The paper found that readings below 90, 85, and 80 were often followed by strong market performance over the next 5-20 days.
Overbought/Oversold Lines: Use the customizable overbought/oversold lines to define your own capitulation zones and potential entry areas.
Settings
Data Sources: Allows toggling the use of "Unchanged" issues/volume data.
Thresholds: You can set the overbought and oversold levels based on the paper's research or your own testing.
Long-Term Capitulation Oscillator (LTCO, Diodato 2019)Description:
This script is a faithful implementation of the Long-Term Capitulation Oscillator (LTCO) from Chris Diodato's award-winning 2019 CMT paper, "Making The Most Of Panic". It is a strategic, market-wide breadth and volume oscillator designed to identify major, long-term market bottoms.
What It Is
The LTCO combines long-term moving averages (34, 55, 89, 144, and 233-day) of NYSE advancing/declining issues and up/down volume. It uses a unique "average of averages" method to create a responsive yet strategic long-term indicator. This script plots the raw, un-normalized value as described in the paper, which typically oscillates in the 700-1100 range.
How to Interpret
The LTCO is a strategic tool for identifying potentially significant market turning points.
Extremely Low Readings: Suggest that a long-term period of selling has reached a point of exhaustion, potentially marking a major bear market low or a generational buying opportunity. The paper backtested various thresholds, with values below 950, 925, and especially 875 showing historically strong forward returns over the next 6-24 months.
Overbought/Oversold Lines: The script includes customizable overbought/oversold lines to help you visually identify these critical zones.
Settings
Data Sources: Allows toggling the use of "Unchanged" issues/volume data for the calculation.
Thresholds: You can set the overbought and oversold levels to your preference, based on the paper's findings or your own research.
Diodato 'All Stars Align' SignalDescription:
This indicator is an overlay that plots the "All Stars Align" buy signal from Chris Diodato's 2019 CMT paper, "Making The Most Of Panic." It is designed to identify high-conviction, short-term buying opportunities by requiring a confluence of both price-based momentum and market-internal weakness.
What It Is
This script works entirely in the background, calculating three separate indicators: the 14-day Slow Stochastic, the Short-Term Capitulation Oscillator (STCO), and the 3-DMA of % Declining Issues. It then plots a signal directly on the main price chart only when the specific "All Stars Align" conditions are met.
How to Interpret
A green cross (+) appears below a price bar when a high-conviction buy signal is generated. This signal triggers only when two primary conditions are true:
The 14-day Slow Stochastic is in "oversold" territory (e.g., below 20).
AND at least one of the market internal indicators shows a state of panic:
Either the STCO is oversold (e.g., below 140).
Or the 3-DMA % Declines shows a panic spike (e.g., above 65).
This confluence signifies a potential exhaustion of sellers and can mark an opportune moment to look for entries.
Settings
Trigger Thresholds: You can customize the exact levels that define an "oversold" or "panic" state for each of the three underlying indicators.
Data Sources: Allows toggling the use of "Unchanged" data for the background calculations.
Stochastic Settings: You can adjust the parameters for the Slow Stochastic calculation.
Candle Range Price ($ + Labels)Displays each candle’s dollar range with labels and table, highlighting above-average volatility at a glance.
EMA50/200 — Nth Close After Break (Up/Down/Both)This indicator tracks EMA-based momentum confirmation using a customizable N-bar rule.
🧠 Logic:
- You can choose whether to track EMA 50 or EMA 200.
- When the price breaks above (or below) the selected EMA, the indicator starts counting.
- If the price stays on that side of the EMA for N consecutive closes, a single signal is triggered on the Nth bar.
- After signaling, the counter resets — the next signal appears only after a new EMA break.
⚙️ Parameters:
- Target EMA: Choose which EMA (50 or 200) the logic is based on.
- N: Number of consecutive bars required after a break.
- Direction: Up / Down / Both.
- Optional trend filters: Require EMA50 > EMA200 for Up signals, or EMA50 < EMA200 for Down signals.
- Blue ▲ = Bullish signal (Nth close after breaking above EMA)
- Red ▼ = Bearish signal (Nth close after breaking below EMA)
✅ Ideal for identifying strong trend confirmations and filtering out false EMA breakouts.
Sharpshooter 30 – EMA DistanceSharpshooter 30 – EMA Distance Pullback Detector
This indicator is designed for disciplined traders who prefer to wait for deep pullbacks
after a clear trend shift. Following a 7/200 EMA death cross, the script “arms” and waits
for the Fast EMA to move a configurable USD distance below the Slow EMA.
When this distance threshold is reached and confirmed by a closed bar,
the script plots a single BUY signal — signaling a potential rebound entry point.
Recommended timeframe: 5-minute chart (XAU/USD works best)
Key features:
• Adjustable EMA lengths
• Adjustable USD distance threshold
• One-time signal logic to avoid overplotting
Philosophy:
"Always wait" — patience defines precision. The method aims to catch
the first high-probability retracement after trend exhaustion.
日本語説明:
Sharpshooter 30は、トレンド転換後の押し目を狙うトレーダー向けのインジケーターです。
7/200 EMAのデッドクロス後、Fast EMAがSlow EMAより一定金額（例：30ドル）下回った確定足でBUYを1度だけ点灯します。
ルールを守り、焦らず待つことを目的としています。
推奨時間軸：5分足（特にXAU/USDで効果的）
MA期間や乖離幅は調整可能。
Multi-Timeframe FVG Detector v2 STEWNewest FVG with alerts and ability to show current TimeFrame Viewed
Syxx Delta [Syxx] - Delta Candles-Delta Candles
Volume Delta Candles offer a straightforward way to analyze trading activity within each candle, making it easier to see what's happening without needing an extra volume indicator. This tool uses lower timeframe or real-time data to show the percentage of buying and selling volume within a candle as a colored bar. Make sure you understand Volume and Volume Delta before jumping in. If you’re not sure, reach out to me first for a quick rundown. But if you're already familiar, you're good to go!
Key Features:
Intrabar Volume Analysis: This feature focuses on the volume within each candle, giving you a clearer picture of the trading activity without relying on external indicators.
Volume Delta: Volume Delta represents the difference between buying and selling volumes. Buy volume is linked to bullish candles, while sell volume is tied to bearish ones. A positive volume delta is shown as a green area, and a negative volume delta is shown as red.
Candle Coloring: Depending on your settings, the tool can color bars either fully or halfway. When set to "Full Bar," it fills the entire bar based on the volume delta. When set to "Half Bar," it colors half or the entire half of the bar. A bar with more selling activity than buying (negative delta) will fill from the top or center downward, and vice versa for a positive delta.
Volume Highlighting: The tool highlights the price level within each candle where the highest volume occurred with a line. If you enable the "Show Previous Max Volume Price" setting, a dot will mark the previous candle's highest volume level.
Real-Time Data: It can use either lower timeframe data or real-time tick data, depending on your preference.
