Burst Size Flow Divergence Large vs Small CVDOverview
A single cumulative-delta line tells you net buying or selling, but hides who is doing the pushing. Burst-Size Flow Divergence splits the flow inside each bar by the size of each volume burst — small / medium / large sub-intervals — and runs a separate signed delta on each tier. The signal is the divergence between the large-burst delta and the small-burst delta: concentrated bursts leaning one way while trickle flow leans the other. It is a flow-structure read, not a signal to trade alone.
What this is — and is NOT (read this before using)
This measures activity-burst size, not per-trade size. Pine cannot see individual trades — it sees a bar's volume and, via lower-timeframe requests, the volume of each sub-interval within the bar. "Large" here means a sub-interval that printed a lot of volume relative to normal — not a large single trade, and not "institutional." Institutions deliberately slice big orders into many small child-orders, so burst size is a proxy, not proof of who is behind the flow. The classification is honest about this, and the built-in harness is there precisely to test whether the divergence carries any information rather than to assert that it does.
Why these components are ONE tool (mashup justification)
Each stage exists because the previous one is ambiguous on its own:
Intrabar bucketing. Each lower-timeframe sub-bar is classed small/medium/large by its volume against an adaptive average, so "large" means large for this symbol and session, not a fixed lot count. A fixed threshold would misclassify on every instrument and every volatility regime.
Per-tier directional imbalance. Each tier gets its own signed delta (up sub-bar → +volume, down → −volume), expressed as net ÷ gross in — what fraction of that tier was net buying versus selling. Normalising this way lets the tiers' directions be compared apples-to-apples even though the large tier moves far less total volume than the small one.
The divergence. The large-minus-small spread is the object. Three separate delta lines would just be clutter to eyeball; the disagreement between the concentrated and the trickle flow is the actual read, so the tool computes it directly.
The calibration harness. "Concentrated bursts are informed" is a hypothesis, not a law — so when the spread is strong, the harness checks forward whether price actually followed the large tier more than the unconditional base rate, and reports Hit / Base / Edge on confirmed bars. That's what turns the divergence from a story into something you can verify on your instrument.
How it works
For each chart bar the finest available sub-bars are requested. Each is signed by close-versus-open (a tick-rule aggressor proxy) and bucketed by volume against the adaptive average. Per-tier signed volume becomes a net÷gross imbalance in , the large-minus-small spread is smoothed into the oscillator, and a strong gated spread is the divergence signal.
How to use it
Read the histogram (the large-minus-small spread): green means large bursts are accumulating while small flow lags or sells; red means large bursts are distributing. The bold line is the large-tier imbalance, the faint line the small tier. A gated turn in the spread suggests concentrated flow is leading, and is marked in the pane and — optionally — on the price chart. Always check the Coverage row (how much real sub-bar resolution the current bar received) and the Edge row (whether the divergence has actually led on this instrument). It is never a standalone trigger.
Plan-adaptive & data note
Sub-bar precision auto-selects the finest your plan serves (seconds on Premium+, else 1-minute). Lower-timeframe data exists only for recent bars, so older bars fall back to whole-bar flow and the coverage read shows it. The tool needs an instrument with real volume — a cash index reports none, so use the futures. The adaptive average and the calibration harness advance only on confirmed bars, so they never drift or inflate intrabar. Edge is in-sample, no costs — a study aid, not a backtest.
Originality
The parts are public: cumulative volume delta, the close-vs-open (tick-rule) aggressor proxy, and the general idea of size-partitioned / flow-toxicity order flow. What's assembled here is the specific construction — the adaptive intrabar size-tiering, the net÷gross per-tier imbalance that makes tiers of very different volume directly comparable, the large-minus-small divergence as the headline object, and the forward-calibration harness that scores it against the base rate. This is a clean-room implementation; no third-party Pine code is reused.
Concept credits
Cumulative Volume Delta — standard order-flow technique.
Close-vs-open (tick-rule) aggressor classification — after the classic trade-sign literature (Lee & Ready).
Size-partitioned / flow-toxicity order flow (VPIN) — Easley, López de Prado & O'Hara.
Disclaimer
Research and educational tool only. Not financial advice, no recommendation, no guarantee of results. Burst size is not trade size and does not identify institutions versus retail; the up/down sign is a close-vs-open proxy for the aggressor, not the true tape. Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability. Indicador
F54 DividendsF54 Dividends
Overview
F54 Dividends is an informational indicator that visualises cash dividend events for the active symbol and shows event-level plus cumulative dividend context directly on the chart.
The script is designed for analysis and transparency of dividend history. It does not place orders and does not provide trade execution logic.
Why This Indicator Is Useful
Dividend income is a core component of total return for income-oriented investors, yet TradingView's default chart view gives no direct visibility into it. This indicator bridges that gap.
Yield on cost at a glance. Each label shows the dividend ratio relative to the price at the time of the ex-dividend event, so you can immediately see how yield evolved over time as the share price changed.
Cumulative income picture. The YTD, Fixed 12M, and Rolling 12M accumulation modes let you see how much income a position has generated over a meaningful period without switching to a separate data source or spreadsheet.
Pattern recognition. Seeing dividend events overlaid on price action makes it easy to spot payout consistency, growth trends, or cuts alongside the price history that accompanied them.
Monthly vs quarterly discrimination. The script automatically detects likely monthly payers and suppresses per-event noise, showing only quarter-end summaries to keep the chart readable without losing the cumulative picture.
Period boundary awareness. New accumulation periods (calendar year or 12-month anchor) are highlighted with a distinct label colour, so resets are immediately visible rather than hidden in the data.
Together these features let you assess a symbol's income quality and consistency directly on the price chart, supporting dividend-focused screening, position review, and historical context gathering.
What The Indicator Shows
- Detects ex-dividend events from TradingView dividend data.
- Displays per-event dividend amount in EUR.
- Displays per-event dividend ratio relative to a reference close.
- Displays cumulative dividend amount and cumulative dividend ratio according to the selected accumulation mode.
- Limits visible labels to the most recent N events to keep the chart readable.
Accumulation Modes
- YTD: Resets cumulative values at the start of each calendar year.
- Fixed 12M: Uses a fixed 12-month period anchored by the current month.
- Rolling 12M: Uses a continuously rolling 365-day window.
Inputs
- Show last N labels: Controls how many recent dividend labels remain visible.
- Accumulation mode: Selects how cumulative values are calculated (YTD, Fixed 12M, Rolling 12M).
How To Read Labels
Each label includes:
- Dividend amount for the current ex-day.
- Event ratio (R) for the current ex-day.
- Cumulative amount for the selected period.
- Cumulative ratio (R) for the selected period.
- In YTD and Fixed 12M modes, the start of a new accumulation period is highlighted with a teal label.
Notes And Limitations
- Output depends on TradingView dividend data availability and symbol coverage.
- Currency display is EUR in this script configuration.
- Label visibility may vary with chart scaling and timeframe.
- In Rolling 12M mode, accumulated values are window-based and may fall when older ex-dividend events leave the 12-month window, which can be confusing if a steadily increasing total is expected.
- Past data can be revised by data providers; values are informational.
Compliance And Disclaimer
This script is for educational and informational purposes only.
It is not investment advice, not a solicitation, and not a guarantee of future results.
Always perform your own research and risk assessment before making investment decisions. Indicador
Institutional Order Flow Signals [PMT]Institutional Order Flow Signals applies a Gaussian Naive Bayes classifier — trained entirely within Pine Script® v6 — to cumulative volume delta divergence in order to surface, in real time, three mutually exclusive market regime states: bullish re-alignment, bearish re-alignment, and order flow divergence.
The core question this indicator addresses is distinct from threshold-crossover approaches: given the current statistical pattern of delta momentum, price/CVD divergence, and delta slope, what is the posterior probability that the market is entering — or exiting — a directional institutional order flow regime?
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🔷 WHAT IT MEASURES
🔸 Cumulative Volume Delta (CVD)
CVD is the running sum of intrabar net order flow — buy volume minus sell volume — estimated via the close-position formula: bull_vol = volume × (close − low) / (high − low). The cumulative series tracks persistent institutional buying or selling pressure independently of price direction, making it a first-order proxy for directional order flow without requiring exchange-level bid/ask data.
🔸 Three Z-Score Normalised Features
Each bar, the classifier receives three inputs derived from CVD and z-score normalised for cross-instrument compatibility:
F1 — CVD Momentum : rate of change of CVD over N bars, normalised by its rolling mean and standard deviation. Encodes how rapidly buying or selling pressure is accelerating relative to its own recent baseline.
F2 — Price/CVD Divergence : price rate of change minus CVD rate of change. A large positive value signals price rising while order flow is falling — the classic institutional distribution pattern. Near-zero values indicate price and flow agreement.
F3 — CVD Slope : linear regression slope of CVD over a short window, z-score normalised. Provides a direction-of-flow signal independent of F1's momentum measure, satisfying the Naive Bayes conditional independence assumption as closely as CVD-derived features can.
🔸 Market Regime Labels
Three mutually exclusive regimes are recognised. A bullish re-alignment bar is one where both price ROC and CVD ROC are positive — institutional flow and price confirm each other to the upside. A bearish re-alignment bar is the symmetric case. A divergence bar occurs when price and order flow point in opposite directions — historically associated with regime transitions and distribution/accumulation activity.
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🔷 THE CLASSIFIER
🔸 Welford Online Learning
The classifier accumulates running sufficient statistics — count, mean, and variance — for each of the nine (feature × regime) combinations using Welford's numerically stable online update. No historical arrays are stored. The model's parameters shift gradually with each new bar, making it adaptive to changing market microstructure conditions without a fixed lookback window.
🔸 Gaussian Likelihood + Bayesian Posterior
Each feature is modelled as a Gaussian distribution under each class. The joint likelihood of the current feature vector is computed by multiplying the three per-feature probability densities under the Naive Bayes independence assumption. A class prior — updated empirically from observed regime frequencies — is combined with the joint likelihood via Bayes' theorem to produce posterior probabilities P(Bull | F1,F2,F3) and P(Bear | F1,F2,F3) for the current bar. A warmup gate suppresses signals until the classifier has accumulated statistically meaningful training observations.
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🔷 SIGNALS AND DISPLAY
🔸 High-Conviction Buy — P(Bull) > 85%
A long signal fires when the bull posterior clears the configurable threshold, CVD momentum confirms, and price is above the trend EMA. The threshold is surfaced on the label itself, making the confidence level explicit at every entry rather than hidden inside an opaque signal.
🔸 Bear Signal — CVD Divergence
A short signal fires when the bear posterior clears threshold and F2 is in active divergence territory — price moving up while order flow is declining, or the symmetric distribution case. CVD divergence without posterior confirmation does not produce a signal; both conditions are required simultaneously.
🔸 Bull Regime Band — CVD Aligned
A fill band anchored to the trend EMA expands when the classifier assigns high posterior probability to a sustained bullish re-alignment regime. The opacity of the band scales with the posterior — faint during low-confidence periods, saturated when the classifier considers the regime firmly established.
🔸 Info Table
Live readout displays current bull and bear posteriors, CVD direction, and training bar count. The Trained N counter confirms the classifier has completed warmup before acting on any signal.
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🔷 INPUTS
Classifier Lookback — minimum training bars before signals activate. Default 100.
Entry Posterior Threshold — minimum posterior required. 0.60 permissive; 0.70 default; 0.80 high-conviction only.
CVD Momentum Period — lookback for F1 and F2 rate of change.
CVD Slope Period — regression window for F3.
Z-Score Period — normalisation window applied across all three features.
Trend EMA Period — macro filter; long signals only fire above EMA, short signals below.
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🔷 REQUIREMENTS AND LIMITATIONS
The classifier requires a warmup period before signals are valid. The CVD estimator is synthetic — derived from intrabar price position, not actual bid/ask data — and introduces noise on instruments with low liquidity or wide spreads. The Naive Bayes independence assumption is partially violated because all three features are CVD-derived; the posteriors function as relative confidence scores rather than calibrated frequentist probabilities.
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Built natively in Pine Script® v6. No external libraries, no data feeds, no fixed lookback arrays. The Gaussian Naive Bayes classifier trains continuously from the chart's own bar history using Welford's online algorithm. Open source — Mozilla Public License 2.0. Indicador
CVD Matrix: Main Chart Signals## CVD Candles: Absorption & Engulfing Overlay
> ### ⚠️ Critical Note Before Deployment
>
>
> Because the Forex market is decentralized, **volume data is entirely feed-dependent.** For this overlay to function properly, you **must** ensure your chosen asset or currency ticker provides volume/tick volume data on TradingView. If the broker feed lacks volume data, the Cumulative Volume Delta (CVD) engine will render flat lines or fail to calculate entirely.
> Highly recommended feeds on TradingView that provide robust, institutional-grade volume metrics include:
> * **OANDA**
> * **FOREX.com**
> * **FXCM**
> * **ICE** (For spot and currency futures feeds)
>
>
---
### Overview
The **CVD Candles: Absorption & Engulfing Overlay** is an institutional-grade order flow and market structure toolkit designed to isolate hidden market participant activity. By pairing **Cumulative Volume Delta (CVD)** divergences with localized price pivots, this indicator filters out retail noise and exposes areas where large market players are actively absorbing aggressive order flow.
Rather than relying purely on lagging price action, this system demands explicit cross-verification between structural order flow exhaustion and a high-volume momentum breakout before printing highly actionable trade entries directly onto your main price candles.
---
### Key Mechanics & Features
### 1. Structural Order Flow Absorption (The Diamonds)
The indicator continuously monitors localized market structure using a customizable Pivot Engine. When price forms a swing high or swing low, the system evaluates the internal order flow inside a precise **CVD Window Offset**.
* **Bullish Absorption (Teal Diamond):** Occurs when price forms a higher low (or equal low), but the CVD drops to a significant lower low. This reveals aggressive sellers hammering the market, yet price refuses to drop—proving that passive institutional buy orders are completely absorbing the selling pressure.
* **Bearish Absorption (Orange Diamond):** Occurs when price forms a lower high (or equal high), but the CVD spikes to a significant higher high. This reveals aggressive buyers chasing price upward, yet price refuses to break higher—proving that passive institutional sell orders are absorbing the buying pressure.
### 2. High-Volume Momentum Confirmation (The Bull/Bear Entries)
An absorption signal alone is simply a sign of a stopping market; it requires a volatility catalyst to become a valid entry. Once an absorption diamond is confirmed, the indicator activates an internal tracking engine that stays live for a customizable **Entry Window** (e.g., 4 bars).
To trigger a **BULL ENTRY** or **BEAR ENTRY** label, the market must satisfy two strict momentum filters within that window:
* **Volume Expansion:** Current volume must exceed the previous bar's volume *and* cross above the 10-period Volume SMA, ensuring genuine institutional participation.
* **Price Engulfing:** Price must print a decisive engulfing candle or strong Marubozu close variant, confirming that the absorbing party has successfully taken control of the market and initiated the reversal.
---
### How to Trade the Overlay
* **The Setup:** Look for a **Teal** or **Orange Diamond** to print on your main chart. This signals that a major structural turning point has been identified and order flow is shifting.
* **The Execution:** Wait for the system to print a **BULL ENTRY** or **BEAR ENTRY** label. Because these labels require a volume-backed engulfing candle to fire, they mark the exact moment aggressive momentum has shifted in favor of the absorbing institution.
* **Invalidation:** If the market drifts sideways and fails to produce a high-volume engulfing breakout within your specified entry window, the tracking engine automatically resets to protect you from entering a choppy, low-liquidity environment. Indicador
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes:
Location of each datapoint in corresponding fields (price, time, volume)
Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations
Innovation in state space (in our case = volatility)
The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool.
As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD
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Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away.
Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field
Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting.
Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...).
Signal weights: encode actuality/importance/relevance of datapoints.
Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way!
Signal = information.
The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time.
First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time.
Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion.
The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page.
Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that.
When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc
Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it.
^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script .
Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility.
Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns.
Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments.
Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else.
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It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request.
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∞ Indicador
Institutional Orderflow Pro — VWAP, Delta, and Liquidity
Institutional Orderflow Pro is a next-generation order flow analysis indicator designed to help traders identify institutional participation, directional bias, and exhaustion zones in real time.
Unlike traditional volume-based indicators, it merges VWAP dynamics, cumulative delta, relative volume, and liquidity proximity into a single unified dashboard that updates tick-by-tick — without repainting.
The indicator is open-source, transparent, and educational. It aims to provide traders with a clearer read on who controls the market — buyers or sellers — and where liquidity lies.
The indicator combines multiple institutional-grade analytics into one framework:
RVOL (Relative Volume) = Compares current volume against the average of recent bars to identify strong institutional participation.
zΔ (Delta Z-Score) = Normalizes the buying/selling delta to reveal unusually aggressive market behavior.
CVDΔ (Cumulative Volume Delta Change) = Shows which side (buyers/sellers) is dominating this bar’s order flow.
VWAP Direction & Slope = Determines whether price is trading above/below VWAP and whether VWAP is trending or flat.
PD Distance (Prev Day Confluence) = Measures the current price’s distance from previous day’s high, low, close, and VWAP in ATR units — highlighting liquidity zones.
ABS/EXH Detection = Identifies institutional absorption and exhaustion patterns where momentum may reverse.
Bias Computation = Combines VWAP direction + slope to give a simplified regime signal: UP, DOWN, or FLAT.
All metrics are displayed through a color-coded, non-repainting HUD:
🟢 = bullish / favorable conditions
🔴 = bearish / weak conditions
⚫ = neutral / flat
🟡 = absorption (potential trap zone)
🟠 = exhaustion (momentum fading)
| Metric | Signal | Meaning |
| ---------------------- | ------- | ---------------------------------------------- |
| **RVOL ≥ 1.3** | 🟢 | High institutional activity — valid setup zone |
| **zΔ ≥ 1.2 / ≤ -1.2** | 🟢 / 🔴 | Unusual buy/sell aggression |
| **CVDΔ > 0** | 🟢 | Buyers dominate this bar |
| **VWAP dir ↑ / ↓** | 🟢 / 🔴 | Institutional bias long/short |
| **Slope ok = YES** | 🟢 | Trending market |
| **PD dist ≤ 0.35 ATR** | 🟢 | Near key liquidity zones |
| **Bias = UP/DOWN** | 🟢 / 🔴 | Trend-aligned environment |
| **ABS/EXH active** | 🟡 / 🟠 | Caution — possible reversal zone |
How to Use
Confirm Volume Context → RVOL > 1.2
Align with Bias → Take longs only when Bias = UP, shorts only when Bias = DOWN.
Check Slope and VWAP Dir → Ensure trending context (Slope = YES).
Confirm CVD and zΔ → Flow should agree with price direction.
Avoid ABS/EXH Triggers → These signal exhaustion or absorption by large players.
Enter Near PD Zones → Ideal trade zones are within 0.35 ATR of prior-day levels.
This multi-factor confirmation reduces noise and focuses only on high-probability institutional setups.
Originality
This script was written from scratch in Pine v6.
It does not reuse existing public indicators except for standard built-ins (ta.vwap, ta.atr, etc.).
The unique combination of delta z-scoring, VWAP slope filtering, and real-time confluence zones distinguishes it from typical orderflow tools or cumulative delta overlays.
The core innovation is its merged real-time HUD that integrates institutional metrics and natural-language feedback directly on the chart, allowing traders to read market context intuitively rather than decode multiple subplots.
Notes & Disclaimers
This indicator does not repaint.
It’s intended for educational and analytical purposes only — not as financial advice or a guaranteed signal system.
Works best on liquid instruments (Futures, Indices, FX majors).
Avoid non-standard chart types (Heikin Ashi, Renko, etc.) for accurate readings.
Open-source, modifiable, and compatible with Pine v6.
Recommended Use
Apply it with clean charts and standard candles for the best clarity.
Use alongside a basic structure or volume profile to contextualize institutional bias zones.
Author: Dhawal Ranka
Category - Orderflow / VWAP / Institutional Analysis
Version: Pine Script™ v6
License: Open Source (Educational Use)
Indicador
Standardized Cumulative Deltas [LuxAlgo]The Standardized Cumulative Deltas tool allows traders to compare the cumulative standardized open-close difference for up to 10 different tickers, allowing them to visualize the general sentiment for all selected tickers.
These results allow the construction of two areas showing the average or extreme bullish and bearish cumulative change for all enabled tickers, providing a summarized view of the overall ticker group sentiment.
🔶 USAGE
This tool is meant to give a full picture of the individuals and/or overall selected tickers, and unlike classical indicators, the displayed series of values is not meant to be directly interpreted over time.
Given the selected lookback period, a majority of observations being above 0 indicate an overall bullish market for the asset.
By default, the auto lookback period feature is enabled, allowing the tool to use all the visible bars for its calculations. Traders can also set the lookback period manually. The above chart uses a fixed lookback period of 500.
Up to 10 tickers can be used. While major cryptocurrencies are set by default, the users can set a specific basket of assets, such as US equities, forex pairs, commodities, etc.
🔹 Densities
The provided areas, here called densities, can be used to get an overall sentiment of the selected tickers. The upper density (bullish) processes positive deltas, while the lower one (bearish) processes negative ones.
Interpretation is subject to the selected "Density Mode".
Average: Densities track the average bullish/bearish cumulative deltas for the selected tickers. For example, a more prominent bullish density would indicate that, on average, cumulative deltas were positive across the tickers.
Envelope: Densities track the extreme values made by bullish/bearish cumulative deltas for the selected tickers. Here, a more prominent density would indicate more volatile bullish/bearish movements, depending on the density.
🔹 Dashboard
The tool features a dashboard with active tickers and their respective colors for traders' convenience.
🔶 DETAILS
🔹 Densities
Densities are obtained by applying a forward-backward exponential moving average on the average, or the highest/lowest cumulative series, depending on the selected Density Mode.
The resulting densities are smoothed by the "Smoothing" parameter located in the Settings panel, with higher values returning smoother envelopes with less variability.
Do note that the smoothing method used here is subject to repainting.
🔶 SETTINGS
Lookback: Select the lookback period and enable/disable the Auto Lookback feature
Tickers: Enable/disable and select up to 10 tickers and their colors
Density Mode: Determine how densities are calculated
🔹 Dashboard
Show Dashboard: Enable/disable the dashboard
Position: Select the dashboard position
Size: Select the dashboard size
🔹 Style
Density: Enable/disable the density areas
Bullish Density: Select the color of the top density area
Bearish Density: Select the color of the bottom density area
Smoothing: Select the smoothing constant for the EMA calculation
Indicador
Indicador
Cumulative Price Change AlertCumulative Price Change Alert
Version: 1.0
Author: QCodeTrader 🚀
Overview 🔍
The Cumulative Price Change Alert indicator analyzes the percentage change between the current and previous open prices and sums these changes over a user-defined number of bars. It then generates visual buy and sell signals using arrows and labels on the chart, helping traders spot cumulative price momentum and potential trading opportunities.
Key Features ⚙️
Customizable Timeframe 🕒:
Use a custom timeframe or default to the chart's timeframe for price data.
User-Defined Summation 🔢:
Specify the number of bars to sum, allowing you to analyze cumulative price changes.
Custom Buy & Sell Conditions 🔔:
Set individual percentage change thresholds and cumulative sum thresholds to tailor signals for
your strategy.
Visual Alerts 🚀:
Displays green upward arrows for buy signals and red downward arrows for sell signals directly
on the chart.
Informative Labels 📝:
Provides labels with formatted percentage change and cumulative sum details for the analyzed
bars.
Versatile Application 📊:
Suitable for stocks, forex, crypto, commodities, and more.
How It Works ⚡
Price Change Calculation ➗:
The indicator calculates the percentage change between the current bar's open price and the
previous bar's open price.
Cumulative Sum ➕:
It then sums these percentage changes over the last N bars (as specified by the user).
Signal Generation 🚦:
Buy Signal 🟢: When both the individual percentage change and the cumulative sum exceed
their respective buy thresholds, a green arrow and label are displayed.
Sell Signal 🔴: Conversely, if the individual change and cumulative sum fall below the sell
thresholds, a red arrow and label are shown.
How to Use 💡
Add the Indicator ➕:
Apply the indicator to your chart.
Customize Settings ⚙️:
Set a custom timeframe if desired.
Define the number of bars to sum.
Adjust the buy/sell percentage change and cumulative sum thresholds to match your trading
strategy.
Interpret Visual Cues 👀:
Monitor the chart for green or red arrows and corresponding labels that signal potential buy or
sell opportunities based on cumulative price movements.
Settings Explained 🛠️
Custom Timeframe:
Select an alternative timeframe for analysis, or leave empty to use the current chart's timeframe.
Number of Last Bars to Sum:
Determines how many bars are used to compute the cumulative percentage change.
Buy Condition - Min % Change:
The minimum individual percentage change required to consider a buy signal.
Buy Condition - Min Sum of Bars:
The minimum cumulative percentage change over the defined bars needed for a buy signal.
Sell Condition - Max % Change:
The maximum individual percentage change threshold for a sell signal.
Sell Condition - Max Sum of Bars:
The maximum cumulative percentage change over the defined bars for triggering a sell signal.
Best Use Cases 🎯
Momentum Identification 📈:
Quickly spot strong cumulative price movements and momentum shifts.
Entry/Exit Signals 🚪:
Use the visual signals to determine potential entry and exit points in your trading.
Versatile Strategy Application 🔄:
Effective for scalping, swing trading, and longer-term analysis across various markets.
UPD: uncheck labels for better performance Indicador
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Zanger Volume Ratio (ZVR)Zanger Volume Ratio (ZVR)
Credits:
Most of the underlying code and logic in this script have been adapted from the work originally published by The_Peaceful_Lizard
Overview
The Zanger Volume Ratio (ZVR) is a powerful indicator designed to reveal market dynamics by comparing current cumulative volume to an average determined over a historical look-back period. It uses the concept of relative volume to not only highlight unusual volume spikes, but also uses color to illustrate how today's trading compares to typical levels. This unique method of volume analysis was popularized by Dan Zanger - a trader known for turning $10,775 into $18,000,000 in less than two years - by identifying key shifts in market interest and volume behavior.
Key Features
Volume Pacing Analysis:
The script calculates a volume delta by comparing the cumulative volume at any given moment to an average derived over a user-defined lookback period (Default 20-day). The resulting percentage difference offers a clear visualization and insight into unusual volume activity.
Dynamic Visual Representation:
Choose between either “Columns” or “Area” plot styles to display the percent difference. Additionally, you have the option to switch between a standard plot or a background color display, with customizable transparency, ensuring the indicator fits seamlessly with your chart’s aesthetics.
Dashboard Integration:
A simple dashboard table is displayed on the chart, showcasing the current ZVR value in real-time. With user-configurable position, text size, alignment, and color options, this feature ensures that the key metric is always visible and easy to interpret.
Why Use the Zanger Volume Ratio?
The ZVR is more than just a volume indicator. It acts as a window into market sentiment by highlighting days when trading interest intensifies. Many traders believe that an unusually high volume ratio may confirm trend strength or signal a reversal, making the indicator a valuable tool when used in conjunction with other technical analysis methods.
Whether you’re monitoring stocks, commodities, or forex markets, the Zanger Volume Ratio offers an accessible yet sophisticated method to decode volume dynamics. Its practical design and real-time visual feedback provide traders of all experience levels with critical data to spot high-potential setups.
Chart Description
First Pane: normal Volume Indicator on the foreground, ZVR as Background colors
Second Pane: ZVR Indicator with Column Style (default)
First panel: normal volume indicator in foreground, ZVR as background colors
Second panel: ZVR indicator with column style (default)
Note: This indicator is intended for use on intraday charts only! Indicador
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Cumulative Volume Delta Histogram [TradingFinder] CVD Histogram🔵 Introduction
To fully understand Cumulative Volume Delta (CVD), it’s important to start by explaining Volume Delta. In trading, "Delta" refers to the difference between two values or the rate of change between two data points. Volume Delta represents the difference between buying and selling pressure for each candlestick on a chart, and this difference can vary across different time frames.
A positive delta indicates that buying volume exceeds selling volume, while a negative delta shows that selling pressure is stronger. When buying and selling volumes are equal, the volume delta equals zero.
The Cumulative Volume Delta (CVD) indicator tracks the cumulative difference between buying and selling volumes over time, helping traders analyze market dynamics and identify reliable trading signals through CVD divergences.
🔵 How to Use
Cumulative Volume Delta (CVD) is an essential technical analysis tool that aggregates delta values for each candlestick, creating a comprehensive indicator. This helps traders evaluate overall buying and selling pressure over market swings.
Unlike standard Volume Delta, which compares the delta on a candle-by-candle basis, CVD provides a broader view of buying and selling pressure during market trends. A downward-trending CVD suggests that selling pressure is dominant, which is typically a bearish signal.
Conversely, an upward-trending CVD indicates bullish sentiment, suggesting buyers are in control. This analysis becomes even more valuable when compared with price action and market structure, helping traders predict the direction of asset prices.
🟣 How to Use CVD in Trend Analysis and Market Reversals
Understanding how to detect trend changes using Cumulative Volume Delta is crucial for traders. Typically, CVD aligns with market structure, moving in the same direction as price trends.
However, divergences between CVD and price movements or signs of volume exhaustion can be powerful indicators of potential market reversals. Recognizing these patterns helps traders make more informed decisions and improve their trading strategies.
🟣 How to Spot Trend Exhaustion with CVD
CVD is particularly effective for identifying trend exhaustion in the market. For instance, if an asset's price hits a new low, but CVD doesn’t follow, this might indicate a lack of seller interest, signaling potential exhaustion and a possible reversal.
Similarly, if an asset reaches a new high but CVD fails to follow, it can suggest that buyers lack the strength to push the market higher, indicating a possible reversal to the downside.
🟣 How to Use CVD Divergence in Price Trend Analysis
Another effective use of CVD is identifying divergences in price trends. For example, if CVD breaks a previous high or low while the price remains stable, this divergence may indicate that buying or selling pressure is being absorbed.
For instance, if CVD rises sharply without a corresponding increase in asset prices, it may suggest that sellers are absorbing the buying pressure, which could lead to a strong sell-off. Conversely, if prices remain stable while CVD declines, it may indicate that buyers are absorbing selling pressure, likely leading to a price increase once the selling subsides.
🟣 CVD Display, Candlestick vs. Histogram – What’s the Difference?
CVD can be displayed in two different formats :
Candlestick Display : In this format, the data is shown as green and red candlesticks, each representing the difference in buying and selling pressure over a given time period. This display allows traders to visually analyze market pressure along with price changes.
Histogram Display : Here, the data is represented as vertical green and red bars, where each bar’s height corresponds to the volume delta. This format offers a clearer view of the strengths and weaknesses in market buying and selling pressure.
🟣 What are the Key Settings for CVD?
Cumulative Mode : CVD offers three modes: "Total," "Periodic," and "EMA." In "Total" mode, CVD accumulates the delta from the beginning to the end of the session. In "Periodic" mode, it accumulates volume periodically, resetting at specific intervals. In "EMA" mode, the CVD is smoothed using an Exponential Moving Average (EMA) to filter out short-term fluctuations.
Period : The "Period" setting allows you to define the number of bars or intervals for "Periodic" and "EMA" modes. A shorter period captures more short-term movements, while a longer period smooths out the fluctuations and provides a broader view of market trends.
Market Ultra Data : This feature integrates data from 26 major brokers into the volume calculations, providing more reliable volume data. It’s important to specify the type of market you are analyzing (Forex, crypto, etc.) as different brokers contribute to different markets. Enabling this setting ensures the highest accuracy in volume analysis.
🔵 Conclusion
Cumulative Volume Delta (CVD) is a powerful technical indicator that helps traders assess buying and selling pressure by aggregating the delta values of each candlestick. Whether displayed as candlesticks or histograms, CVD provides insights into market trends, helping traders make informed decisions.
CVD is particularly useful in identifying divergences and exhaustion in market trends. For example, if CVD does not align with price movements, it can signal a potential trend reversal. Traders use this tool to fine-tune their entry and exit points and better predict future market movements.
In summary, CVD is a versatile tool for analyzing volume data and understanding the balance of buying and selling pressure in the market, making it an invaluable asset in any trader’s toolkit
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Cumulative Volume Delta Divergence [TradingFinder] Periodic EMA🔵 Introduction
The Cumulative Volume Delta (CVD) is a powerful tool in technical analysis that is derived from market volume or trading activity. The Cumulative Volume Delta Divergence Detector Indicator helps traders identify Cumulative Volume Delta Divergences (CVD Divergence), which can provide reliable trading signals.
These divergences, such as bullish and bearish CVD divergences, act as key indicators of potential trend reversals in financial markets. By analyzing CVD divergences, traders can gain insights into the strength of buying and selling pressure and make more informed predictions about price trends.
The CVD indicator is particularly effective for traders who engage in day trading and scalping, as it helps identify price reversal points by analyzing volume and price behavior.
Using the CVD indicator in combination with other technical tools such as support and resistance levels and candlestick patterns allows for a more accurate market analysis.
🔵 How to Use
Divergences are one of the most important technical analysis signals that indicate the current strength of a price move may not be sustainable.
Cumulative Volume Delta Divergence helps traders identify potential trading opportunities that may not be visible on the price chart alone.
This type of divergence examines the relationship between buying and selling volume and price, enabling traders to better understand price trends.
🟣 Bullish CVD Divergence
A bullish CVD divergence occurs when the price makes a lower low, but the CVD indicator shows a higher low. This indicates increasing buying pressure in the market, even though the price is declining. In other words, despite the price dropping, buyers are gradually gaining strength, which could signal a price reversal and the start of a bullish trend.
How to use this signal : In this scenario, traders looking to go long can use this signal as a favorable opportunity to enter the market. After a bullish divergence, the market typically tends to move upward.
To reduce risk, traders can wait for further confirmation from the price chart. For example, if the price breaks through the previous high after the divergence or breaks a resistance level, this could be a more reliable signal for entering the market.
🟣 Bearish CVD Divergence
A bearish CVD divergence is the opposite of a bullish divergence. In this type of divergence, the price makes a higher high, but the CVD indicator shows a lower high. This indicates decreasing buying pressure and weakening momentum in the current bullish trend. A bearish divergence often serves as a warning of a potential market reversal to the downside.
How to use this signal : Traders can use this divergence as an opportunity to exit long positions or enter short positions. When the CVD indicator makes a lower high compared to the price, it signals weakness in buyer strength.
If traders receive further confirmation from the price chart, such as a break of key support levels or an increase in selling volume, this can serve as a stronger signal for the beginning of a bearish trend.
🟣 How to Build a Trading Strategy with Cumulative Volume Delta Divergence
Using CVD divergence alone may not be sufficient. Traders should combine this tool with other technical analysis techniques and indicators to have more confidence in their decisions. For example, when observing a CVD divergence, traders can also analyze volume, trend lines, or candlestick patterns to get a more accurate market analysis.
Additionally, risk management should always be a priority. Using stop-loss orders and properly sizing trades can help traders minimize their losses if they make a mistake.
🔵 Setting
Divergence Fractal Period : Determines the period of swings. The minimum and default value is 2.
CVD Period : You can set the period of " Periodic " and " EMA " modes.
Cumulative Mode : It has three modes "Periodic" and "EMA". In "Periodic" mode, it accumulates the volume periodically and in "EMA" mode, it calculates the moving average of the volume.
Market Ultra Data : If you turn on this feature, 26 large brokers will be included in the calculation of the trading volume. The advantage of this capability is to have more reliable volume data. You should be careful to specify the market you are in, FOREX brokers and Crypto brokers are different.
🔵 Conclusion
The Cumulative Volume Delta (CVD) indicator is a powerful tool in technical analysis, helping traders better identify price trends and make more accurate market predictions. By identifying CVD divergences, traders can anticipate price reversals and time their market entries and exits accordingly.
Bullish and bearish CVD divergences each provide valuable signals that can help traders identify the best entry and exit points in the market. A bullish CVD divergence signals strength in buying that will likely lead to a price increase, while a bearish CVD divergence indicates weakness in the bullish trend and the potential for the beginning of a bearish trend.
Overall, combining CVD with other technical analysis tools and employing risk management strategies can help traders make better trading decisions and capitalize on available market opportunities.
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Cumulative Delta [TradingFinder] Volume + Periodic + EMA🔵 Introduction
To fully grasp the concept of Cumulative Volume Delta (CVD), it's essential first to understand Volume Delta. In trading and technical analysis, the term "Delta" typically refers to the difference between two values or the rate of change between two data points.
Volume Delta represents the difference between buying and selling pressure, calculated for each candlestick on a chart. This difference can vary across different timeframes.
A positive delta indicates that buying volume exceeds selling volume, while a negative delta shows that selling volume is greater. When buying and selling volumes are equal, the volume delta equals zero.
🟣 What is Cumulative Volume Delta (CVD)?
Cumulative Volume Delta (CVD) is a powerful tool in technical analysis that aggregates delta values for each candlestick, creating a comprehensive indicator that helps traders assess market trends.
Unlike the standard Volume Delta, which compares delta on a candle-by-candle basis, CVD provides insight into the overall buying and selling pressure during key market swings. A downward-trending CVD suggests that selling pressure is dominating, which is typically a bearish signal.
Conversely, an upward-trending CVD indicates bullish sentiment. This analysis becomes even more significant when comparing CVD with price action and market structure, helping traders to predict asset price directions.
By evaluating market highs and lows, one can determine the market trend. A consistent rise in these points indicates an uptrend, while a consistent fall suggests a downtrend.
🔵 How to Use
Understanding how to detect trend changes using Cumulative Volume Delta is crucial for traders. Typically, CVD aligns with market structure, moving in the same direction as price trends.
However, divergences between CVD and price trends or signs of exhaustion in volume can be powerful indicators of potential market reversals. Recognizing these patterns can help traders make informed decisions and improve their trading strategies.
🟣 Identifying Trend Exhaustion with Cumulative Volume Delta (CVD)
The Cumulative Volume Delta (CVD) indicator is especially effective in identifying weakening trends in the market. For instance, if gold's price hits a new low, but CVD does not follow suit, this may indicate a lack of seller interest despite the new low, signaling potential seller exhaustion.
Most traders interpret this as a possible reversal from a bearish to a bullish trend. Similarly, if gold reaches a new high but CVD fails to do the same, it can suggest that buyers lack the strength to push the market higher, indicating a possible trend reversal.
🟣 Utilizing Cumulative Volume Delta (CVD) Divergence in Price Trend Analysis
Another effective use of CVD is identifying divergences in price trends. For example, if CVD breaks a previous high or low while the price remains stable, this divergence often indicates that buying or selling pressure is being absorbed.
For instance, if CVD rises sharply without a corresponding increase in gold prices, it may suggest that sellers are absorbing the buying pressure, potentially leading to a strong sell-off. Conversely, if gold prices remain stable while CVD declines, it could indicate that buyers are absorbing selling pressure, likely leading to a price increase once selling subsides.
🔵 Setting
Cumulative Mode : It has three modes "Total", "Periodic" and "EMA". In "Total" mode, it collects the volume from the beginning to the end. In "Periodic" mode, it accumulates the volume periodically and in "EMA" mode, it calculates the moving average of the volume.
Period : You can set the period of " Periodic " and " EMA " modes.
Market Ultra Data : If you turn on this feature, 26 large brokers will be included in the calculation of the trading volume.
The advantage of this capability is to have more reliable volume data. You should be careful to specify the market you are in, FOREX brokers and Crypto brokers are different.
🔵 Conclusion
Cumulative Volume Delta (CVD) is a powerful analytical tool in financial markets that helps analysts and traders assess buying and selling pressure by aggregating and combining the volume delta for each candlestick.
CVD can indicate the strength or weakness of a market trend. When CVD moves upward, it signals that buying pressure is dominant and is considered a bullish signal; conversely, a downward movement in CVD indicates that selling pressure is stronger and is viewed as a bearish signal.
This indicator is particularly effective in identifying divergences and exhaustion in market trends. For example, if CVD does not align with price movements, it may suggest a potential trend reversal.
Traders use this information to make more informed trading decisions, especially when identifying entry and exit points in the market.
Overall, CVD is a tool that enables analysts to better understand market fluctuations and more accurately predict future market trends.
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Liquidation Estimates (Real-Time) [LuxAlgo]The Liquidation Estimates (Real-Time) experimental indicator attempts to highlight real-time long and short liquidations on all timeframes. Here with liquidations, we refer to the process of forcibly closing a trader's position in the market.
By analyzing liquidation data, traders can gauge market sentiment, identify potential support and resistance levels, identify potential trend reversals, and make informed decisions about entry and exit points.
🔶 USAGE
Liquidation refers to the process of forcibly closing a trader's position. It occurs when a trader's margin account can no longer support their open positions due to significant losses or a lack of sufficient margin to meet the maintenance requirements.
Liquidations can be categorized as either a long liquidation or a short liquidation. A long liquidation is a situation where long positions are being liquidated, while short liquidation is a situation where short positions are being liquidated.
The green bars indicate long liquidations – meaning the number of long positions liquidated in the market. Typically, long liquidations occur when there is a sudden drop in the asset price that is being traded. This is because traders who were bullish on the asset and had opened long positions on the same will now face losses since the market has moved against them.
Similarly, the red bars indicate short liquidations – meaning the number of short positions liquidated in the futures market. Short liquidations occur when there is a sudden spike in the price of the asset that is being traded. This is because traders who were bearish on the asset and had opened short positions will now face losses since the market has moved against them.
Liquidation patterns or clusters of liquidations could indicate potential trend reversals.
🔹 Dominance
Liquidation dominance (Difference) displays the difference between long and short liquidations, aiming to help identify the dominant side.
🔹 Total Liquidations
Total liquidations display the sum of long and short liquidations.
🔹 Cumulative Liquidations
Cumulative liquidations are essentially the cumulative sum of the difference between short and long liquidations aiming to confirm the trend and the strength of the trend.
🔶 DETAILS
It's important to note that liquidation data is not provided on the Trading View's platform or can not be fetched from anywhere else.
Yet we know that the liquidation data is closely tied in with trading volumes in the market and the movement in the underlying asset’s price. As a result, this script analyzes available data sources extracts the required information, and presents an educated estimate of the liquidation data.
The data presented does not reflect the actual individual quantitative value of the liquidation data, traders and analysts shall look to the changes over time and the correlation between liquidation data and price movements.
The script's output with the default option values has been visually checked/compared with the liquidation chart presented on coinglass.com.
🔶 SETTINGS
🔹Liquidations Input
Mode: defines the presentation of the liquidations chart. Details are given in the tooltip of the option.
Longs Reference Price: defines the base price in calculating long liquidations.
Shorts Reference Price: defines the base price in calculating short liquidations.
🔶 RELATED SCRIPTS
Liquidation-Levels
Liquidity-Sentiment-Profile
Buyside-Sellside-Liquidity Indicador
MW Volume ImpulseMW Volume Impulse
Settings
* Moving Average Period: The moving average period used to generate the moving average line for the bar chart. Default=14
* Dot Size: The size of the dot that indicates when the moving average of the CVD is breached. Default=10
* Dot Transparency: The transparency of the dot that indicates when the moving average of the CVD is breached. Default=50
* EMA: The exponential moving average that the price must break through, in addition to the CVD moving
* Accumulation Length: Period used to generate the Cumulative Volume Delta (CVD) for the bar chart. Default=14
Introduction
Velocity = Change in Position over time
Acceleration = Change in Velocity over time
For this indicator, Position is synonymous with the Cumulative Volume Delta (CVD) value. What the indicator attempts to do is to determine when the rate of acceleration of buying or selling volume is changing in either or buying or selling direction in a meaningful way.
Calculations
The CVD, upon which these changes is calculated using candle bodies and wicks. For a red candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks, while Selling Volume is calculated multiplying the volume by the spread percentage of the average of the top and bottom wicks - in addition to the spread percentage of the candle body.
For a green candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks - plus the spread percentage of the candle body - while Selling Volume is calculated using only the spread percentage average of the top and bottom wicks.
How to Interpret
The difference between the buying volume and selling volume is the source of what generates the red and green bars on the indicator. But, more specifically, this indicator uses an exponential moving average of these volumes (14 EMA by default) to determine that actual bar size. The change in this value indicates the velocity of volume and, ultimately, the red and green bars on the indicator.
- When the bar height is zero, that means that there is no velocity, which indicates either a balance between buyers and sellers, or very little volume.
- When the bar height remains largely unchanged from period to period - and not zero - it means that the velocity of volume is constant in one direction. That direction is indicated by the color of the bar. Buyers are dominating when the bars are green, and sellers are dominating when the bars are red.
- When the bar height increases, regardless of bar color, it means that volume is accelerating in a buying direction.
- When the bar height decreases, regardless of bar color, it means that volume is accelerating in a selling direction.
The white line represents the moving average of the bar values, while the red and white - and green and white - dots show when the moving average has been breached by the Cumulative Volume Delta value AND the price has broken the 7 EMA (which is user editable). As with most moving averages, a breach can indicate a move in a bearish or bullish direction, and the sensitivity can be adjusted for differing market conditions
Other Usage Notes and Limitations
For better use of the signal, consider the following,
1. Volume moving below the moving average can indicate that the volume may be ready to exit an overbought condition, especially if the bars were making lower highs prior to the signal - regardless of bar color.
3. Volume moving above the moving average can indicate that the volume may be ready to exit an oversold condition, especially if the bars were making higher lows prior to the signal - regardless of bar color.
Additionally, a green dot that occurs with a positive (green) Cumulative Volume Delta can indicate a buying condition, while a red dot that occurs with a negative (red) Cumulative Volume Delta can indicate a selling condition. What this means is that buying or selling momentum briefly went against the direction of buying or selling Cumulative Volume Delta , but was not strong enough to change the buying or selling direction. In cases like this, once the volume begins to accelerate again in the direction of the buying or selling volume - indicated by a red or green dot - then the price is more likely to favor the direction of the Cumulative Volume Delta and its corresponding acceleration.
Although a red or green signal can indicate a change in direction, this script cannot predict the magnitude or duration of the change. It is best used with accompanying indicators that can be used to confirm a direction change, such as a moving average, or a supply or demand range. Indicador
Cumulative TICK [Pt]Cumulative TICK Indicator, shown as the bottom indicator, is a robust tool designed to provide traders with insights into market trends using TICK data. This indicator visualizes the cumulative TICK trend in the form of colored columns on a separate chart below the main price chart.
Here's an overview of the key features of the Cumulative TICK Indicator:
1. Selectable TICK Source 🔄: The indicator allows users to choose from four different TICK data sources, namely USI:TICK , USI:TICKQ , USI:TICKI , and $USI:TICKA.
2. TICK Data Type Selection 🎚️: Users can select the type of TICK data to be used. The options include: Close, Open, hl2, ohlc4, hlc3.
3. Optional Simple Moving Average (SMA) 📊: The indicator offers an option to apply an SMA to the Cumulative TICK values, with a customizable length.
4. After-hour Background Color 🌙: The background color changes during after-hours to provide a clear distinction between regular and after-hour trading sessions.
🛠️ How it Works:
The Cumulative TICK Indicator uses TICK data accumulated during the regular market hours (9:30-16:00) as per the New York time zone. At the start of a new session or at the end of the regular session, this cumulative TICK value is reset.
The calculated Cumulative TICK is plotted in a column-style graph. If the SMA is applied, the SMA values are used for the column plots instead. The columns are colored green when the Cumulative TICK is positive and red when it is negative. The shades of green and red vary based on whether the Cumulative TICK is increasing or decreasing compared to the previous value.
This is a simple yet powerful tool to track market sentiment throughout the day using TICK data. Please note that this indicator is intended to be used as part of a comprehensive trading strategy. Always ensure you are managing risk appropriately and consulting various data sources to make informed trading decisions. Indicador
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Big 8 Intraday TICKAt the start of each trading day (0930 EST), this indicator calculates the intraday price difference between open and close for the eight largest market cap stocks (AAPL, AMZN, GOOGLE, META, MSFT, NFLX, NVDA, and TSLA), assigns a +/-1 for each, and then plots the cumulative change. An EMA has been added for smoothing purposes that is set to 5 but can be changed. Please note indicator is best used on lower timeframes (15 min or less) and has no applicability to time frames above 1 hour.
The thought behind this indicator is those eight major stocks drive a majority of intraday price change in indices like SPY and QQQ that are heavily weighted towards these stocks, therefore they should be a leading indicator in price change. You can often catch a move in SPY or QQQ one to two bars (on 1 min chart) ahead of the actual move because you see this indicator moving strong to one direction.
It's not perfect as there are divergences you will see when you compare historical charts, but oftentimes those divergences ultimately lead to significant price swings in the same direction as this indicator, so recommend being on watch to pull the trigger when you see those and price confirms.
You can use this indicator in a few ways:
1. Confirmation that your current trade is in the same direction as this indicator
2. Use the zero cross as a trigger for put or call entry
3. Focusing only on calls/longs if the value is above 0, or only puts/shorts if the value is below zero. Just be sure to keep an eye on reversals.
If you have recommendations on how to improve, let me know and I'll do my best to make changes.
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