Average True Range ShiftThis indicator builds on the idea of the Average True Range (ATR) as a way of measuring volatility. It uses two different ATRs to show a shift in market volatility.
It is mainly composed of two moving averages of ATR. One fast moving, which looks back at the previous 5 periods. One slow moving, which looks back at the previous 21 periods. Both ATRs have been normalized (show percentage instead of an absolute amount). The third component of this indicator is the histogram that is created by subtracting the slow moving average, from the fast moving average.
By having two ATRs of different lengths, traders can see how short term volatility compares to long term volatility, and how it is shifting over time. When the fast-moving crosses above the slow-moving, it will show a positive value on the histogram, meaning that short term volatility is increasing and higher than normal. When it crosses below, it will show a negative value on the histogram, meaning that short term volatility is decreasing, and lower than normal.
There are a variety of ways to utilize this indicator, and it will work in most markets. I find it is best to analyze macro market conditions on daily charts and above, rather than micro intraday moves.
ค้นหาในสคริปต์สำหรับ "histogram"
MACDASTHOMAS ASPRAY'S MACD by KIVANC @fr3762 on twitter
drive.google.com
This indicator is simply based on MACD HISTOGRAM'S 9 period EMA signal line
MACDAS = MACD HISTOGRAM= MACD - SIGNAL LINE of MACD
MACDAS SIGNAL LINE = 9 Period EMA of MACD
Note: Macd is originally calculated by using SMA but in this version both MACD and MACDAS and their signal lines are calculated by using EMA.
MACDAS provides earlier BUY / SELL signals than MACD.
TURKISH EXPLANATION:
Thomas Aspray'in bulduğu KIVANC @fr3762 tarafından yazılan versiyon
MACDnin Triggerı ile farkı (Histogram) ile bu farkın 9 günlük üssel hareketli ortalaması alınarak hesaplanmıştır
drive.google.com
Macd indikatörüne göre daha erken AL / SAT sinyalleri üretmektedir.
Kazançlı günlerde kullanmanız dileğiyle...
KıvanÇ
Traders Dynamic Index Indicator Alert v0.1 by JustUncleLThis is a trend trading indicator+alert utilising the Traders Dynamic Index (TDI), Price Action Channel (PAC) and Heikin Ashi candles.
About 6months ago I came across the use of TDI in "E.A.S.Y. Method" that I found in forexfactory forums: www.forexfactory.com
and I was able to set up a chart based on the specifications by using Kurbelklaus scripts. However, I found that the alerts were being generated one or two bars too late, so at that time I was not successful using it with Binary Options. A few months later I found a variation of the method in the forecfactory forums which is able to generate the alerts a bit earlier, so this indicator is a modification of that early detection version.
The indicator can optionally use Heikin Ashi candles only for all it's calculation. I would recommend viewing the chart with Heikin Ashi candles, these smooth out the trends and makes trends very clear.
I found that this method it works good with most currency pairs or commodities and with 5min+ timeframe charts. I would suggest expiry of 2 to 6 candles.
ALERT GENERATION:
=================
The TDI (Traders Dynamic Index)
---------------------------------------------
Volatility Band VB(34), color: Blue, buffer: UpZone, DnZone
Relative Strength Index RSI(13)
RSI PRICE LINE (2), color: Green, buffer: mab
RSI TRADE SIGNAL LINE (7), color: Red, buffer: mbb
MARKET BASE LINE MID VB(34), color: Orange, buffer: mid
Indicator SignalLevels:
-------------------------------
RSI_OversoldLevel : 22 (normally: 32)
RSI_OverboughtLevel : 78 (normally: 68)
Alert Conditions:
-----------------------
Strong Buy : yellow
Medium Buy : aqua
Weak Buy : blue
Strong Sell : fuchsia
Medium Sell : purple
Weak Sell : black
Hints on How to use:
----------------------------
- When a Medium or Strong alert is generated and MACD histogram colour matches the direction
of the alert (optional auto filter), then place trade in direction of alert candle and MACD.
- I use the multi-Hull MA's for overall trend direction confirmation.
- Best positions normally occur near the MACD(5,15,1) Histogram crossing the zero line.
- The optional coloured Dots along the bottom of the indicator represent the first alert
of this type that was generated in this sequence.
- It is advisable to trade in the direction of the main trend as indicated the HULL MA red cloud:
if red cloud underneath PAC then BULLISH trend, if red cloud above PAC then BEARISH trend.
- Selecting the HeiKin Ashi candles does affect the MACD and MA caculations, so if you select
normal candles the result chart will change. You can still Optionally select to use Heikin Ashi
for calculations.
- When using the Heikin Ashi candles, a good buy entry is indicated by long top wick and no bottom wick
for bull (green) candles and good sell entry is indicated by long bottom wick and no top wick for
bear (red) candles.
- When the MACD histogram is flat and close to zero line,
this indicates a ranging market, do NOT trade when this occurs.
- When the PAC channel on the main chart is spread apart widely, this is an indication
of extreme volatility and choppy chart, do NOT try to trade during these periods.
A choppy chart is also indicated by Heikin Ashi candles with long wicks on both sides
of the candles.
- You can specify what strength level Alerts are generated (default 2):
Level (1) means only generate Strong Alerts only.
Level (2) means generate Strong and Medium Alerts.
Level (3) means generate Strong, Medium and Weak Alerts.
MACD + Stochastic, Double Strategy (by ChartArt)This strategy combines the classic stochastic strategy to buy when the stochastic is oversold with a classic MACD strategy to buy when the MACD histogram value goes above the zero line. Only difference to the classic stochastic is a default setting of 71 for overbought (classic setting 80) and 29 for oversold (classic setting 20).
Therefore this strategy goes long if the MACD histogram goes above zero and the stochastic indicator detects a oversold condition (value below 29). If the inverse logic is true, the strategy goes short (stochastic overbought condition with a value above 71 and the MACD histogram falling below the zero line value).
Please be aware that this pure double strategy using simply two classic indicators does not have any stop loss or take profit money management logic.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
CM Percent Move Lower V1CM Percent Move Lower V1
Created by ChrisMoody on 9/3/2014 by Request from vlad.adrian
**Plots the percent move based on the Close of Bar Compared to the Close of Previous Bar
**If Bar closes Up then Histogram is Green, If Bar Closes Down Histogram is Red.
**Ability to Show/Hide Background Highlights, Horizontal Lines, % Histogram, and SMA of Percent Moves
DeltaPulseDeltaPulse: Professional Cumulative Volume Delta Indicator
DeltaPulse is a free cumulative volume delta (CVD) indicator engineered for modern traders who demand precision, adaptability, and visual clarity. Unlike traditional CVD tools that often suffer from scaling issues, excessive noise, or poor responsiveness across timeframes, DeltaPulse delivers a streamlined, professional-grade solution that "just works" – providing actionable insights into buying and selling pressure with minimal setup.
This indicator accumulates the net difference between buying and selling volume (inferred from candle direction), normalizes it intelligently for consistent readability, and applies advanced smoothing to filter out market noise while preserving momentum signals. The result is a clean, momentum-colored line in a dedicated pane, enhanced by subtle visual cues that highlight key market dynamics.
Whether you're a day trader scalping intraday moves, a swing trader analyzing weekly trends, or an institutional analyst reviewing futures contracts, DeltaPulse adapts seamlessly to your workflow. It's designed to be your go-to tool for confirming trends, spotting divergences, and identifying order flow imbalances – all without the bloat of overcomplicated features.
Key Features
Intelligent Normalization for Universal Compatibility
Automatically adjusts scaling based on chart timeframe and symbol volume profile.
Intraday (1-5 min): Uses a 100-period volume average for responsive, lively signals.
Intraday (15+ min): 50-period average for balanced sensitivity.
Daily/Weekly+: 20-period average for clean, long-term perspective.
Ensures the indicator remains visually meaningful and non-flat on any asset – from low-volume penny stocks to high-liquidity indices like ES or NQ.
Advanced Smoothing Options
Six moving averages to match your trading style:
EMA - Quick reactions to recent delta shifts
SMA - Simple Moving Average - Stable, noise-resistant baseline
WMA - Weighted Moving Average - Emphasizes recent data with linear weighting
HMA - Hull Moving Average - Ultra-smooth yet lag-free – ideal for momentum trading
RMA - Running Moving Average (Wilder's) - Trend-following with minimal whipsaws
VWMA - Volume-Weighted Moving Average - Highlights high-volume delta moves
Lower values increase reactivity; higher values enhance smoothness.
Flexible Reset Mechanisms
Session Reset: Clears CVD at the first regular trading bar each day – perfect for intraday analysis.
Weekly Reset: Resets at the start of each new week – suited for swing and position trading.
No manual intervention required; the indicator handles resets reliably across all timeframes.
Background Shading:
Light green tint above zero; light red below.
Extreme highlights when smoothed CVD exceeds 90% of its 80-bar high/low – flags potential exhaustion or absorption zones.
How It Works
DeltaPulse calculates a simple yet effective volume delta on each bar:
Bullish Bar (close ≥ open): Adds full volume as positive delta.
Bearish Bar (close < open): Subtracts full volume as negative delta.
This raw delta accumulates into a running total (CVD), resetting based on your chosen mode. The total is then:
Normalized against a timeframe-adaptive volume average to ensure consistent scaling.
Smoothed using your selected MA type for noise reduction and trend clarity.
Plotted with momentum-based coloring and visual enhancements.
The output is a single, intuitive line that reveals the underlying battle between buyers and sellers – far more reliably than raw volume bars or basic oscillators.
Trading Applications
DeltaPulse shines in revealing order flow dynamics that price action alone often conceals. Here are proven ways to integrate it:
Trend Confirmation & Momentum Trading
Bullish Setup: Rising green line above zero confirms buyer control – enter longs on pullbacks to support.
Bearish Setup: Falling red line below zero signals seller dominance – short on rallies to resistance.
Zero Line Crosses as Reversal Signals
A crossover from negative to positive territory often marks a sentiment shift – use for entry triggers.
Combine with volume spikes or key levels for high-probability setups.
Enhancement: VWMA mode amplifies signals on high-volume breakouts.
Absorption & Exhaustion Zones
Watch for extreme background highlights: A spike to highs followed by reversal suggests large players absorbing supply.
Ideal for fade trades near overextended levels (e.g., after news events).
Avoid low-volume or illiquid symbols, as delta inference relies on reliable candle data.
Timeframe-Agnostic: Solves the common CVD pitfall of being "dead" on intraday charts or erratic on daily ones through smart, automatic normalization.
Lag-Free Responsiveness: The default HMA smoothing strikes a rare balance – smoother than EMA, faster than SMA – without the computational overhead of exotic filters.
Zero Clutter: No histograms, no extraneous plots, no overwhelming alerts. Just pure, distilled order flow intelligence.
Dual MACD📘 Dual MACD — Synopsis
The Dual MACD indicator displays two separate MACD systems inside the same pane, allowing traders to compare fast and slow momentum behavior simultaneously.
What It Includes
Two fully adjustable MACDs
MACD 1 default: 12 / 12 / 9
MACD 2 default: 8 / 20 / 6
Show/Hide Toggles so each MACD can be viewed independently or together.
MACD Lines, Signal Lines, and Histograms for both systems.
Clean layout with a compact panel title: “MACD x2”
What It Helps You See
Short-term vs. longer-term momentum shifts
Faster MACD reacting to quick trend changes
Slower MACD confirming or filtering signals
Trend strength, momentum acceleration, and crossover behavior in a single pane
Why It’s Useful
The Dual MACD gives you momentum confirmation, fakeout filtering, and multi-speed trend insight—making it valuable for scalpers, intraday traders, and swing traders who want to reduce noise and improve signal quality.
X C/P VPDescription
The X C/P VP indicator visualizes intraperiod option flow dynamics for any selected call and put contracts. It plots the volume of both options as overlapping histograms, allowing traders to observe where liquidity and participation are concentrated.
A small dot appears above a bar only when the option’s closing price increases relative to the prior bar, providing an immediate visual cue of upward price pressure within volume spikes.
By combining these two layers—volume intensity and directional confirmation—the indicator makes it easy to spot where the market is actively repricing risk across the call/put structure.
Use Case
Designed for 0DTE and short-dated options, especially index ETFs such as QQQ or SPY.
Helps traders compare call vs. put participation to gauge sentiment skew and intraday balance.
Useful for monitoring volume surges tied to delta hedging, gamma shifts, or option repricing following volatility or directional moves.
Can be applied on 1-minute to 15-minute timeframes to observe how option volume evolves through key market sessions (e.g., open, midday, close).
Dots highlight periods where premium expansion accompanies increased volume—often an early sign of momentum or positioning bias.
Summary
X C/P VP serves as a lightweight, visually intuitive tool to read the rhythm of call and put activity intraday—offering an at-a-glance pulse of which side of the options market is taking control.
Logit RSI [AdaptiveRSI]The traditional 0–100 RSI scale makes statistical overlays, such as Bollinger Bands or even moving averages, technically invalid. This script solves this issue by placing RSI on an unbounded, continuous scale, enabling these tools to work as intended.
The Logit function takes bounded data, such as RSI values ranging from 0 to 100, and maps them onto an unbounded scale ranging from negative infinity (−∞) to positive infinity (+∞).
An RSI reading of 50 becomes 0 on the Logit scale, indicating a balanced market. Readings above 50 map to positive Logit values (price above Wilder’s EMA / RSI above 50), while readings below 50 map to negative values (price below Wilder’s EMA / RSI below 50).
For the detailed formula, which calculates RSI as a scaled distance from Wilder’s EMA, check the RSI
: alternative derivation script.
The main issue with the 0–100 RSI scale is that different lookback periods produce very different distributions of RSI values. The histograms below illustrate how often RSIs of various lengths spend time within each 5-point range.
On RSI(2), the tallest bars appear at the edges (0–5 and 95–100), meaning short-term RSI spends most of its time at the extremes. For longer lookbacks, the bars cluster around the center and rarely reach 70 or 30.
This behavior makes it difficult to generalize the two most common RSI techniques:
Fixed 70/30 thresholds: These overbought and oversold levels only make sense for short- or mid-range lookbacks (around the low teens). For very short periods, RSI spends most of its time above or below these levels, while for long-term lookbacks, RSI rarely reaches them.
Bollinger Bands (±2 standard deviations): When applied directly to RSI, the bands often extend beyond the 0–100 limits (especially for short-term lookbacks) making them mathematically invalid. While the issue is less visible on longer settings, it remains conceptually incorrect.
To address this, we apply the Logit Transform :
Logit RSI = LN(RSI / (100 − RSI))
The transformed data fits a smooth bell-shaped curve, allowing statistical tools like Bollinger Bands to function properly for the first time.
Why Logit RSI Matters:
Makes RSI statistically consistent across all lookback periods.
Greatly improves the visual clarity of short-term RSIs
Allows proper use of volatility tools (like Bollinger Bands) on RSI.
Replaces arbitrary 70/30 levels with data-driven thresholds.
Simplifies RSI interpretation for both short- and long-term analysis.
INPUTS:
RSI Length — set the RSI lookback period used in calculations.
RSI Type — choose between Regular RSI or Logit RSI .
Plot Bollinger Bands — ON/OFF toggle to overlay statistical envelopes around RSI or Logit RSI.
SMA and Standard Deviation Length — defines the lookback period for both the SMA (Bollinger Bands midline) and Standard Deviation calculations.
Standard Deviation Multiplier — controls the width of the Bollinger Bands (e.g., 2.0 for ±2σ).
While simple, the Logit transformation represents an unexplored yet powerful mathematically grounded improvement to the classic RSI.
It offers traders a structured, intuitive, and statistically consistent way to use RSI across all timeframes.
I welcome your feedback, suggestions, and code improvements—especially regarding performance and efficiency. Your insights are greatly appreciated.
Volume Profile 3D (Zeiierman)█ Overview
Volume Profile 3D (Zeiierman) is a next-generation volume profile that renders market participation as a 3D-style profile directly on your chart. Instead of flat histograms, you get a depth-aware profile with parallax, gradient transparency, and bull/bear separation, so you can see where liquidity stacked up and how it shifted during the move.
Highlights:
3D visual effect with perspective and depth shading for clarity.
Bull/Bear separation to see whether up bars or down bars created the volume.
Flexible colors and gradients that highlight where the most significant trading activity took place.
This is a state-of-the-art volume profile — visually powerful, highly flexible, and unlike anything else available.
█ How It Works
⚪ Profile Construction
The price range (from highest to lowest) is divided into a number of levels (buckets). Each bar’s volume is added to the correct level, based on its average price. This builds a map of where trading volume was concentrated.
You can choose to:
Aggregate all volume at each level, or
Split bullish vs. bearish volume , slightly offset for clarity.
This creates a clear view of which price zones matter most to the market.
⚪ 3D Effect Creation
The unique part of this indicator is how the 3D projection is built. Each volume block’s width is scaled to its relative size, then tilted with a slope factor to create a depth effect.
maxVol = bins.bu.max() + bins.be.max()
width = math.max(1, math.floor(bucketVol / maxVol * ((bar_index - start) * mult)))
slope = -(step * dev) / ((bar_index - start) * (mult/2))
factor = math.pow(math.min(1.0, math.abs(slope) / step), .5)
width → determines how far the volume extends, based on relative strength.
slope → creates the angled projection for the 3D look.
factor → adjusts perspective to make deeper areas shrink naturally.
The result is a 3D-style volume profile where large areas pop forward and smaller areas fade back, giving you immediate visual context.
█ How to Use
⚪ Support & Resistance Zones (HVNs and Value Area)
Regions where a lot of volume traded tend to act like walls:
If price approaches a high-volume area from above, it may act as support.
From below, it may act as resistance.
Traders often enter or exit near these zones because they represent strong agreement among market participants.
⚪ POC Rejections & Mean Reversions
The Point of Control (POC) is the single price level with the highest volume in the profile.
When price returns to the POC and rejects it, that’s often a signal for reversal trades.
In ranging markets, price may bounce between edges of the Value Area and revert to POC.
⚪ Breakouts via Low-Volume Zones (LVNs)
Low volume areas (gaps in the profile) offer path of least resistance:
Price often moves quickly through these thin zones when momentum builds.
Use them to spot breakouts or continuation trades.
⚪ Directional Insight
Use the bull/bear separation to see whether buyers or sellers dominated at key levels.
█ Settings
Use Active Chart – Profile updates with visible candles.
Custom Period – Fixed number of bars.
Up/Down – Adjust tilt for the 3D angle.
Left/Right – Scale width of the profile.
Aggregated – Merge bull/bear volume.
Bull/Bear Shift – Separate bullish and bearish volume.
Buckets – Number of price levels.
Choose from templates or set custom colors.
POC Gradient option makes high volume bolder, low volume lighter.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
ZenAlgo - ADXThis open-source indicator builds upon the official Average Directional Index (ADX) implementation by TradingView. It preserves the core logic of the original ADX while introducing additional visualization features, configurability, and analytical overlays to assist with directional strength analysis.
Core Calculation
The script computes the ADX, +DI, and -DI based on smoothed directional movement and true range over a user-defined length. The smoothing is performed using Wilder’s method, as in the original implementation.
True Range is calculated from the current high, low, and previous close.
Directional Movement components (+DM, -DM) are derived by comparing the change in highs and lows between consecutive bars.
These values are then smoothed, and the +DI and -DI are expressed as percentages of the smoothed True Range.
The difference between +DI and -DI is normalized to derive DX, which is further smoothed to yield the ADX value.
The indicator includes a selectable signal line (SMA or EMA) applied to the ADX for crossover-based visualization.
Visualization Enhancements
Several plots and conditions have been added to improve interpretability:
Color-coded histograms and lines visualize DI relative to a configurable threshold (default: 25). Colors follow the ZenAlgo color scheme.
Dynamic opacity and gradient coloring are used for both ADX and DI components, allowing users to distinguish weak/moderate/strong directional trends visually.
Mirrored ADX is internally calculated for certain overlays but not directly plotted.
The script also provides small circles and diamonds to highlight:
Crossovers between ADX and its signal line.
DI crossing above or below the 25 threshold.
Rising ADX confirmed by rising DI values, with point size reflecting ADX strength.
Divergence Detection
The indicator includes optional detection of fractal-based divergences on the DI curve:
Regular and hidden bullish and bearish divergences are identified based on relative fractal highs/lows in both price and DI.
Detected divergences are optionally labeled with 'R' (Regular) or 'H' (Hidden), and color-coded accordingly.
Fractal points are defined using 5-bar patterns to ensure consistency and reduce false positives.
ADX/DI Table
When enabled, a floating table displays live values and summaries:
ADX value , trend direction (rising/falling), and qualitative strength.
DI composite , trend direction, and relative strength.
Contextual power dynamics , describing whether bulls or bears are gaining or losing strength.
The background colors of the table reflect current trend strength and direction.
Interpretation Guidelines
ADX indicates the strength of a trend, regardless of its direction. Values below 20 are often considered weak, while those above 40 suggest strong trending conditions.
+DI and -DI represent bullish and bearish directional movements, respectively. Crossovers between them are used to infer trend direction.
When ADX is rising and either +DI or -DI is dominant and increasing, the trend is likely strengthening.
Divergences between DI and price may suggest potential reversals but should be interpreted cautiously and not in isolation.
The threshold line (default 25) provides a basic filter for ignoring low-strength conditions. This can be adjusted depending on the market or timeframe.
Added Value over Existing Indicators
Fully color-graded ADX and DI display for better visual clarity.
Optional signal MA over ADX with crossover markers.
Rich contextual labeling for both divergence and threshold events.
Power dynamics commentary and live table help users contextualize current momentum.
Customizable options for smoothing type, divergence display, table position, and visual offsets.
These additions aim to improve situational awareness without altering the fundamental meaning of ADX/DI values.
Limitations and Disclaimers
As with any ADX-based tool, this indicator does not indicate market direction alone —it measures strength, not trend bias.
Divergence detection relies on fractal patterns and may lag or produce false positives in sideways markets.
Signal MA crossovers and DI threshold breaks are not entry signals , but contextual markers that may assist with timing or filtering other systems.
The table text and labels are for visual assistance and do not replace proper technical analysis or market context.
Fair Value Gap Profiles [AlgoAlpha]🟠 OVERVIEW
This script draws and manages Fair Value Gap (FVG) zones by detecting unfilled gaps in price action and then augmenting them with intra-gap volume profiles from a lower timeframe. It is designed to help traders find potential areas where price may return to fill liquidity voids, and to provide extra detail about volume distribution inside each gap to assess strength and likely mitigation. The script automatically tracks each gap, updates its state over time, and can show which gaps are still unfilled or have been mitigated.
🟠 CONCEPTS
A Fair Value Gap is a zone between candles where no trades occurred, often seen as an inefficiency that price later revisits. The script checks each bar to see if a bullish (low above 2-bars-ago high) or bearish (high below 2-bars-ago low) gap has formed, and measures whether the gap’s size exceeds a threshold defined by a volatility-adjusted multiplier of past gap widths (to only detect significantly large gaps). Once a qualified gap is found, it gets recorded and visualized with a box that can stretch forward in time until filled. To add more context, a mini volume profile is built from a lower timeframe’s price and volume data, showing how volume is distributed inside the gap. The lowest-volume subzone is also highlighted using a sliding window scan method to visualise the true gap (area with least trading activity)
🟠 FEATURES
Visual gap boxes that appear automatically when bullish or bearish fair value gaps are detected on the chart.
Color-coded zones showing bullish gaps in one color and bearish gaps in another so you can easily see which side the gap favors.
Volume profile histograms plotted inside each gap using data from a lower timeframe, helping you see where volume concentrated inside the gap area.
Highlight of the lowest-volume subzone within each gap so you can spot areas price may target when filling the gap.
Dynamic extension of the gap boxes across the chart until price comes back and fills them, marking them as mitigated.
Customizable colors and transparency settings for gap boxes, profiles, and low-volume highlights to match your chart style.
Alerts that notify you when a new gap is created or when price fills an existing gap.
🟠 USAGE
This indicator helps you find and track unfilled price gaps that often act as magnets for price to revisit. You can use it to spot areas where liquidity may rest and plan entries or exits around these zones.
The colored gap boxes show you exactly where a fair value gap starts and ends, so you can anticipate potential pullbacks or continuations when price approaches them.
The intra-gap volume profile lets you gauge whether the gap was created on strong or thin participation, which can help judge how likely it is to be filled. The highlighted lowest-volume subzone shows where price might accelerate once inside the gap.
Traders often look for entries when price returns to a gap, aiming for a reaction or reversal in that area. You can also combine the mitigation alerts with your trade management to track when gaps have been closed and adjust your bias accordingly. Overall, the tool gives a clear visual reference for imbalance zones that can help structure trades around supply and demand dynamics.
Aggregated VolumeHow to Read the “Aggregated Volume” Signal
This indicator combines normalized volume, short-term volume bursts, pivot levels, VWAP, and a 200-period EMA to give you a multi-dimensional view of trading activity. Here’s how to interpret each component and synthesize them into actionable insights.
1. Custom Volume Signal (vSignal)
• Calculation
• vSignal = Sum of over bars, divided by the current price.
• A rising vSignal means more volume is being traded per unit of price, signaling growing interest relative to price level.
• Plot styling
• Bars are lime when (bullish volume days)
• Bars are orange when (bearish volume days)
How to read it
• Trend confirmation: Increasing lime bars alongside rising price suggests buyers in control.
• Warning sign: Rising orange bars on a down move indicate accelerating selling pressure.
• Divergence:
• Price making new highs while vSignal stalls or drops → potential top.
• Price making new lows while vSignal holds → potential bottom.
2. Short-Term Volume Bursts
Three semi-transparent histograms show how much the last 2, 5, and 10-bar raw volumes exceed (or fall below) the current vSignal:
• Blue = vol(2) – vSignal
• Green = vol(5) – vSignal
• Red = vol(10) – vSignal
If a colored bar sits above zero, that lookback’s volume is surging relative to the longer-term average (vSignal).
How to read it
• Clustered bursts:
• Blue + Green + Red above zero → strong, broad-based volume surge.
• Great for confirming breakouts and shakeouts.
• Isolated burst:
• Only Blue (> 0) on a small range bar → might be a false breakout or intrabar squeeze.
• Only Red (> 0) on a wide range → institutional involvement; act with caution.
3. Pivot Volume Levels (v & t)
• Every 21 bars, the script finds the highest and lowest vSignal values and plots them as shaded price levels:
• Magenta area = recent vSignal high (resistance)
• Cyan area = recent vSignal low (support)
How to read it
• Rejection/Break:
• Price approaches magenta zone and stalls → sellers defending that volume high.
• Break above magenta with high vSignal → likely sustained rally.
• Support flip:
• Cyan zone hold → buyers stepping in at heavy-volume lows.
• Break below cyan with rising vSignal → bearish conviction.
4. Midline Cross (Volume Equilibrium)
• A 10-bar SMA of
• Drawn as a faint white cross on price
How to read it
• Above midline → overall volume bias is skewed bullish.
• Below midline → bearish volume bias.
Crossovers of vSignal through this midline can signal shifts in underlying conviction.
5. VWAP & 200-Period EMA Overlays
• VWAP (transparent red if above price, green if below)
• EMA(200) plotted as aqua circles
How to read them
• VWAP tells you the intraday “value area.”
• Price above VWAP + rising vSignal = intraday buyers in charge.
• Price below VWAP + rising vSignal = aggressive sellers.
• EMA(200) gives you the longer-term trend.
• Above EMA200 = bullish regime
• Below EMA200 = bearish regime
6. Putting It All Together: Example Scenarios
1. Bullish Entry
• Price > EMA200 & VWAP is green
• vSignal rising in lime
• All three short-term bursts above zero
• Price near or breaking the magenta pivot with volume confirmation
2. Bearish Entry
• Price < EMA200 & VWAP is red
• vSignal rising in orange
• Two-bar burst (blue) spikes on a down bar
• Price failing at magenta pivot or breaking cyan support
3. Divergence Play
• Price makes new high, but vSignal peaks lower than last high → look for a reversal.
• Price drops to new low, but vSignal stays above its last low → prepare for a bounce.
By combining these layers—normalized volume, burst indicators, pivot levels, VWAP, and EMA—you get a clear map of where volume is clustering, which lets you anticipate support/resistance, gauge real interest, and spot potential reversals or breakouts with greater confidence.
Volume pressure by GSK-VIZAG-AP-INDIA🔍 Volume Pressure by GSK-VIZAG-AP-INDIA
🧠 Overview
“Volume Pressure” is a multi-timeframe, real-time table-based volume analysis tool designed to give traders a clear and immediate view of buying and selling pressure across custom-selected timeframes. By breaking down buy volume, sell volume, total volume, and their percentages, this indicator helps traders identify demand/supply imbalances and volume momentum in the market.
🎯 Purpose / Trading Use Case
This indicator is ideal for intraday and short-term traders who want to:
Spot aggressive buying or selling activity
Track volume dynamics across multiple timeframes *1 min time frame will give best results*
Use volume pressure as a confirming tool alongside price action or trend-based systems
It helps determine when large buying/selling activity is occurring and whether such behavior is consistent across timeframes—a strong signal of institutional interest or volume-driven trend shifts.
🧩 Key Features & Logic
Real-Time Table Display: A clean, dynamic table showing:
Buy Volume
Sell Volume
Total Volume
Buy % of total volume
Sell % of total volume
Multi-Time frame Analysis: Supports 8 user-selectable custom time frames from 1 to 240 minutes, giving flexibility to analyze volume pressure at various granularities.
Color-Coded Volume Bias:
Green for dominant Buy pressure
Red for dominant Sell pressure
Yellow for Neutral
Intensity-based blinking for extreme values (over 70%)
Dynamic Data Calculation:
Uses volume * (close > open) logic to estimate buy vs sell volumes bar-by-bar, then aggregates by timeframe.
⚙️ User Inputs & Settings
Timeframe Selectors (TF1 to TF8): Choose any 8 timeframes you want to monitor volume pressure across.
Text & Color Settings:
Customize text colors for Buy, Sell, Total volumes
Choose Buy/Sell bias colors
Enable/disable blinking for visual emphasis on extremes
Table Appearance:
Set header color, metric background, and text size
Table positioning: top-right, bottom-right, etc.
Blinking Highlight Toggle: Enable this to visually highlight when Buy/Sell % exceeds 70%—a sign of strong pressure.
📊 Visual Elements Explained
The table has 6 rows and 10 columns:
Row 0: Headers for Today and TF1 to TF8
Rows 1–3: Absolute values (Buy Vol, Sell Vol, Total Vol)
Rows 4–5: Relative percentages (Buy %, Sell %), with dynamic background color
First column shows the metric names (e.g., “Buy Vol”)
Cells blink using alternate background colors if volume pressure crosses thresholds
💡 How to Use It Effectively
Use Buy/Sell % rows to confirm potential breakout trades or identify volume exhaustion zones
Look for multi-timeframe confluence: If 5 or more TFs show >70% Buy pressure, buyers are in control
Combine with price action (e.g., breakouts, reversals) to increase conviction
Suitable for equities, indices, futures, crypto, especially on lower timeframes (1m to 15m)
🏆 What Makes It Unique
Table-based MTF Volume Pressure Display: Most indicators only show volume as bars or histograms; this script summarizes and color-codes volume bias across timeframes in a tabular format.
Customization-friendly: Full control over colors, themes, and timeframes
Blinking Alerts: Rare visual feature to capture user attention during extreme pressure
Designed with performance and readability in mind—even for fast-paced scalping environments.
🚨 Alerts / Extras
While this script doesn’t include TradingView alert functions directly, the visual blinking serves as a strong real-time alert mechanism.
Future versions may include built-in alert conditions for buy/sell bias thresholds.
🔬 Technical Concepts Used
Volume Dissection using close > open logic (to estimate buyer vs seller pressure)
Simple aggregation of volume over custom timeframes
Table plotting using Pine Script table.new, table.cell
Dynamic color logic for bias identification
Custom blinking logic using na(bar_index % 2 == 0 ? colorA : colorB)
⚠️ Disclaimer
This indicator is a tool for analysis, not financial advice. Always backtest and validate strategies before using any indicator for live trading. Past performance is not indicative of future results. Use at your own risk and apply proper risk management.
✍️ Author & Signature
Indicator Name: Volume Pressure
Author: GSK-VIZAG-AP-INDIA
TradingView Username: prowelltraders
Delta Volume Profile [BigBeluga]🔵Delta Volume Profile
A dynamic volume analysis tool that builds two separate horizontal profiles: one for bullish candles and one for bearish candles. This indicator helps traders identify the true balance of buying vs. selling volume across price levels, highlighting points of control (POCs), delta dominance, and hidden volume clusters with remarkable precision.
🔵 KEY FEATURES
Split Volume Profiles (Bull vs. Bear):
The indicator separates volume based on candle direction:
If close > open , the candle’s volume is added to the bullish profile (positive volume).
If close < open , it contributes to the bearish profile (negative volume).
ATR-Based Binning:
The price range over the selected lookback is split into bins using ATR(200) as the bin height.
Each bin accumulates both bull and bear volumes to form the dual-sided profile.
Bull and Bear Volume Bars:
Bullish volumes are shown as right-facing bars on the right side, colored with a bullish gradient.
Bearish volumes appear as left-facing bars on the left side, shaded with a bearish gradient.
Each bar includes a volume label (e.g., +12.45K or -9.33K) to show exact volume at that price level.
Points of Control (POC) Highlighting:
The bin with the highest bullish volume is marked with a border in POC+ color (default: blue).
The bin with the highest bearish volume is marked with a POC− color (default: orange).
Total Volume Density Map:
A neutral gray background box is plotted behind candles showing the total volume (bull + bear) per bin.
This reveals high-interest price zones regardless of direction.
Delta and Total Volume Summary:
A Delta label appears at the top, showing net % difference between bull and bear volume.
A Total label at the bottom shows total accumulated volume across all bins.
🔵 HOW IT WORKS
The indicator captures all candles within the lookback period .
It calculates the price range and splits it into bins using ATR for adaptive resolution.
For each candle:
If price intersects a bin and close > open , volume is added to the positive profile .
If close < open , volume is added to the negative profile .
The result is two side-by-side histograms at each price level—one for buyers, one for sellers.
The bin with the highest value on each side is visually emphasized using POC highlight colors.
At the end, the script calculates:
Delta: Total % difference between bull and bear volumes.
Total: Sum of all volumes in the lookback window.
🔵 USAGE
Volume Imbalance Zones: Identify price levels where buyers or sellers were clearly dominant.
Fade or Follow Volume Clusters: Use POC+ or POC− levels for reaction trades or breakouts.
Delta Strength Filtering: Strong delta values (> ±20%) suggest momentum or exhaustion setups.
Volume-Based Anchoring: Use profile levels to mark hidden support/resistance and execution zones.
🔵 CONCLUSION
Delta Volume Profile offers a unique advantage in market reading by separating buyer and seller activity into two visual layers. This allows traders to not only spot where volume was high, but also who was more aggressive. Whether you’re analyzing trend continuations, reversals, or absorption levels, this indicator gives you the transparency needed to trade with confidence.
Vietnamese Stock Market FTD (Follow Through Day) AlertA Pine Script implementing William O'Neil’s Follow Through Day (FTD) strategy for the Vietnamese stock market. It scans 7 predefined sector groups (Banks, Real Estate, Retail, etc.) to detect momentum breakouts.
Key Features :
Triggers an FTD signal when ≥X groups (default: 3) have ≥Y stocks (default: 2) rising above a Z% threshold (default: 5%) daily.
Highlights qualifying stocks by group in a dynamic label during alerts.
Visualizes strength via histograms and background shading.
Open-source under Mozilla Public License 2.0 .
Purpose : Identify institutional buying and potential market reversals.
MACD Multi-Timeframe x4 (Custom Params)■About this indicator
・This indicator can display 4 MACD lines for different time frames. (Multi-time framework)
・The color of the MACD line changes when the MACD has a golden or dead cross.
All MACDs can be set individually for long time period, short time period, and signal smoothing.
All MACDs can show/hide MACD lines, signal lines, histograms, and select colors.
■Explanation of effective usage
By displaying MACDs in multiple time frames, you can time the push.
For example, let's say you have three MACDs: one weekly, one daily, and one hour.
With the weekly and daily MACDs continuing to golden cross, the timing for the hourly MACD to golden cross is considered a push opportunity.
An example chart is attached below for your reference.
The area circled vertically is a push-buying opportunity.
Yellow-green: Weekly Green: Daily Light blue: Hourly
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■このインジケーターについて
・このインジケーターは別の時間軸の4本のMACDを表示させることが出来ます。（マルチタイムフレームワーク）
・MACDがゴールデンクロス・デッドクロスした場合にMACDラインの色が変化します。
・全てのMACDについて個別に長期の期間・短期の期間・シグナルの平滑化を設定できます。
・全てのMACDはMACDライン・シグナルライン・ヒストグラムの表示/非表示、色の選択ができます。
■有効な使い方の説明
マルチタイムフレームでMACDを表示することで、押し目のタイミングを計ることが出来ます。
例えば、3本のMACDを1週間・1日・1時間とします。
週足と日足のMACDがゴールデンクロスを継続した状態で、1時間足のMACDがゴールデンクロスしてくるタイミングは押し目買いのチャンスと考えられます。
以下に例題のチャートを付けますので、参考にしてください。
縦に囲った辺りが押し目買いのチャンスになります。
黄緑：週足 緑：日足 水色：1時間足
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Exponential Action Map (EAM)### **Exponential Action Map (EAM) – Description and Differences from VPVR**
The Exponential Action Map (EAM) indicator is a Pine Script-based volume profile indicator that offers **a weighted representation of buying and selling activity**. Unlike the standard **Volume Profile Visible Range (VPVR)**, which simply shows traded volume at various price levels, the EAM provides the following additional features:
1. **Exponential Weighting**:
- Instead of treating the volume of all considered bars equally, the EAM uses a **decay factor** to gradually diminish the significance of older data. This allows **more recent price movements to have greater influence**, making it particularly useful for short-term analysis.
2. **Exponential Stealth Move (ESM)**:
- In addition to buy and sell volume, the EAM calculates and displays the **Exponential Stealth Move (ESM)**.
- This measures the relative price movement compared to volume and highlights areas where **significant price changes occur with low volume**, which may indicate institutional activity or strong momentum.
- The ESM visualization is not present in VPVR, making it a distinct and valuable feature.
3. **Visualization Methodology**:
- Instead of simple histograms like in VPVR, volume is represented by **dynamic boxes** that encompass Buy (EBA), Sell (ESA), and Stealth Move (ESM) activities.
- The size and color of these boxes are **customizable**, allowing for clear differentiation between various volume types.
4. **Flexibility & Configuration**:
- Users can adjust parameters such as **Number of Bars, Decay Factor, Bar Width, and Maximum History Data**.
- The ability to **toggle historical data visibility** offers a **tailored view** that VPVR does not provide.
**Conclusion:** The EAM extends the classic volume profile (VPVR) by introducing **time-weighted volume analysis and detection of Stealth Moves (ESM)**. This not only highlights price levels with high trading volume but also reveals **price movements with low liquidity**, which can potentially indicate institutional interest.
BIN Based Support and Resistance [SS]This indicator presents a version of an alternative way to determine support and resistance, using a method called "Bins".
Bins provide for a flexible and interesting way to determine support and resistance levels.
First off, let's discuss BINS:
Bins are ranges or containers into which your data points can be sorted. For example, if you're grouping ages, you might have bins like 0–18, 19–35, 36–50, and 51+. Any data point within these intervals gets placed in the corresponding bin.
Binning simplifies complex data sets by grouping values into categories. This is useful for such things as
Visualizing data in histograms or bar charts.
Reducing noise and highlighting trends.
This indicator groups the price action into 10 separate bins. It determines the Support / Resistance level by averaging the values in the Bins to find an iteration of the "central tendency" or average reoccurring value.
Pros and Cons
Since this is a different approach to support and resistance, I think its important to highlight some of the pros and advantages, but also be open about the cons.
First off the PROS
Bin Based Support and Resistance Levels dynamically adjust to ranges as opposed to hard / fast peaks and valleys. This makes them better at analyzing price action vs simply drawing lines at random peaks and valleys.
Because Bins are analyzing ALL PA within a period's max and min range, Bin Support and Resistance can actually be used similar to Volume profile, where you are able to identify a pseudo-POC, or areas where price tends to consolidate. Take a look at this example on SPY:
You can see these 2 SR lines are close together. This represents that this general price range is an area where price likes to accumulate/consolidate. You can see the SPY ended up coming back to this range and consolidating there for a bit.
This is a strength of using a BIN based approach to calculating support and resistance, because as indicated before, it looks at price action vs peaks and valleys.
As a tip, these areas are areas you want to wait for a break in one direction or the other.
The indicator provides for backtest results of the support and resistance lines, to see how many times certain areas acted as resistance or support. Because this is analyzing and distributing PA evenly throughout the period's max and min, the indicator can tell you which areas tend to have higher rejection zones and which have higher support zones.
Now the CONS
Because bin based SR take an average approach, the SR lines can sometimes be slightly broken before the ticker finds rejection:
To combat this, make sure there is confirmed support. How the indicator actually backtests these lines is by waiting to see if the ticker has 3 consecutive closes above the support line or below the resistance line. So these are things to be mindful of.
It doesn't consider pivots. Most support and resistance indicators either identify max and min peaks and valleys or use pivot points. Pivot points are a great way to identify peaks and valleys and thus by extension support and resistance. However, this is also somewhat of a strength, as using BINS forces the indicator to consider ALL price action and not just the extremes (highs and lows).
Can be slightly skewed in highly volatile environments. Any time there is a massive drop or rally, it can skew the indicator to give extreme ranges to both ends. For example, the Tariff news collapse on ES1!:
Owning to limitations in lookback length, sometimes the min and max range can be exceeded and other traditional areas of support / resistance is where a ticker will find support.
Using the indicator
Here are some basic use/functionalities of the indicator:
Selecting display of backtest results: You can select to have the backtest results shown in a table:
Or directly on the lines:
Inversely, you can toggle them off completely:
You can modify the lookback length. The suggested lookback length is between 250 to 500 candles on smaller timeframes. I also suggest 252 on daily timeframes (which represents 1 trading year).
And that's the indicator!
It is very easy to use, so you should pick it up in no time!
Enjoy and as always, 🚀🚀 safe trades! 🚀🚀
RSI Bands with Volume and EMAThis script is a comprehensive technical analysis tool designed to help traders identify key market signals using RSI bands, volume, and multiple Exponential Moving Averages (EMAs). It overlays the following on the chart:
RSI Bands: The script calculates and plots two bands based on the Relative Strength Index (RSI), indicating overbought and oversold levels. These bands act as dynamic support and resistance zones:
Resistance Band (Upper Band): Plotted when the RSI exceeds the overbought level, typically indicating a potential sell signal.
Support Band (Lower Band): Plotted when the RSI falls below the oversold level, typically indicating a potential buy signal.
Midline: The average of the upper and lower bands, acting as a neutral reference.
Buy/Sell Labels: Labels are dynamically added to the chart when price reaches the overbought or oversold levels.
A "Buy" label appears when the price reaches the oversold (lower) band.
A "Sell" label appears when the price reaches the overbought (upper) band.
Volume Indicator: The script visualizes trading volume as histograms, with red or green bars representing decreasing or increasing volume, respectively. The volume height is visually reduced for better clarity and comparison.
Exponential Moving Averages (EMAs): The script calculates and plots four key EMAs (12, 26, 50, and 200) to highlight short-term, medium-term, and long-term trends:
EMA 12: Blue
EMA 26: Orange
EMA 50: Purple
EMA 200: Green
The combined use of RSI, volume, and EMAs offers traders a multi-faceted view of the market, assisting in making informed decisions about potential price reversals, trends, and volume analysis. The script is particularly useful for identifying entry and exit points on charts like BTC/USDT, although it can be applied to any asset.
Quartile For Loop [SeerQuant]Quartile For Loop (QFL)
- The Quartile For Loop (QFL) is an advanced trend-following and scoring oscillator designed to detect momentum shifts and trend transitions using a quartile-based analysis. By leveraging quartile calculations and iterative scoring logic, QFL delivers dynamic trend signals which can be tailored to suit various market conditions.
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⚙️ How It Works
1️⃣ Quartile-Based Calculation
The indicator calculates the weighted average of the first quartile (Q1), median (Q2), and third quartile (Q3) over a customizable length, providing a robust adaptive trend value.
2️⃣ For Loop Scoring System
A unique for-loop structure iteratively scores each quartile value against historical data, delivering actionable trend signals. Users can toggle between price-based and quartile-based scoring methods for flexibility.
3️⃣ Threshold Logic
Bullish (Uptrend): Score exceeds the positive threshold.
Bearish (Downtrend): Score falls below the negative threshold.
Neutral: Score remains between thresholds.
4️⃣ Visual Trend Enhancements
Optional candle coloring and a color-coded SMA provide clear visual cues for identifying trend direction. The adaptive quartile is dynamically updated to reflect changing market conditions.
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✨ Customizable Settings
Indicator Inputs
Quartile Length: Define the calculation length for quartile analysis.
Calculation Source: Choose the data source for quartile calculations (e.g., close price).
Alternate Signal: Toggle between price-based and quartile-based scoring.
Loop Settings
Start/End Points: Set the range for the for-loop scoring system.
Thresholds: Customize uptrend and downtrend thresholds.
Style Settings
Candle Coloring: Enable optional trend-based candle coloring.
Color Schemes: Select from five unique palettes for trend visualization.
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🚀 Features and Benefits
Quartile-Driven Analysis: Harnesses the statistical power of quartiles for adaptive trend evaluation.
Dynamic Scoring: Iterative scoring logic adjusts to market fluctuations.
Clear Visual Representation: Color-coded histograms, candles, and trendlines enhance readability.
Fully Customizable: Flexible inputs allow adaptation to diverse trading styles and strategies.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Market analysis is inherently speculative and subject to risk. Users should consult a licensed financial advisor before making trading decisions. Use at your own discretion.
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Volume Standard Deviation Alert GusPurpose
The script detects and alerts traders when the volume of a trading asset significantly exceeds a calculated threshold based on the standard deviation of volume over a specified lookback period. It optionally filters these alerts based on whether the price action is bullish or bearish.
Key Components
Inputs
lookback (default: 20)
The number of bars to consider when calculating the moving average and standard deviation of volume.
stdDevFactor (default: 2.0)
The multiplier for the standard deviation to determine the threshold for a volume spike.
alertOnClose (default: true)
Determines whether alerts should only be triggered after the bar has closed.
checkBullBear (default: false)
Enables filtering of alerts based on the bullishness or bearishness of the bar.
Calculations
volSMA
The simple moving average (SMA) of the volume over the lookback period.
volStd
The standard deviation of the volume over the lookback period.
threshold
The alert threshold is calculated as:
Threshold
=
volSMA
+
(
stdDevFactor
×
volStd
)
Threshold=volSMA+(stdDevFactor×volStd)
isBullish & isBearish
Determines whether the current bar is bullish (close > open) or bearish (close < open).
volumeSpikeCondition
A condition that triggers when the current volume exceeds the calculated threshold.
bullishCondition & bearishCondition
Refines the spike condition by requiring the bar to be bullish or bearish when checkBullBear is enabled.
finalCondition
The ultimate alert condition based on the user’s preference for bullish/bearish filtering.
finalTrigger
Ensures the alert only triggers at bar close if alertOnClose is set to true.
Visualization
Plots the SMA of the volume (volSMA) and the threshold line (threshold), helping traders visually understand the conditions.
Histograms the current volume and colors the bars:
Red: Volume exceeds the threshold.
Blue: Volume is below the threshold.
Alerts
The script generates an alert message when the finalTrigger condition is met:
"Bullish Volume Spike!" if the bar is bullish.
"Bearish Volume Spike!" if the bar is bearish.
"High Volume Spike!" if no bull/bear filter is applied.
Alerts are sent using alert() with the message and set to trigger once per bar close.
Usage
Traders can use this script to identify unusual volume activity, which often precedes significant price movements.
Customizability allows traders to tune the lookback period, standard deviation multiplier, and whether to filter for bullish/bearish spikes.
Visual and audible cues help in identifying important market events in real time.
This indicator is particularly useful for spotting market breakouts or breakdowns driven by high trading activity.
