Daily Volume High Notifier📜 Script Description – Daily Volume High Notifier
This indicator monitors trade volume and sends an alert whenever a new daily high in volume is reached. The high volume is reset at the beginning of each trading day, allowing traders to stay informed of significant intraday volume spikes.
🛠️ Features:
Tracks the highest trade volume for the current day.
Resets the volume high tracker at the start of each new day.
Sends a real-time notification (alert()) whenever a new volume high is detected.
Useful for identifying unusual activity, potential breakouts, or institutional participation.
📊 Visual Elements:
Blue histogram for standard volume.
Red line showing the current day’s highest volume so far.
🔔 How to Use:
Add the script to any chart.
Enable alerts using the built-in alert() function.
Receive notifications every time volume hits a new high for the day.
🔔 Setting up Alerts in TradingView:
After adding this indicator to your chart:
Click the Alarm Clock (Alerts) icon.
Set condition: Daily Volume High Notifier → alert() function call .
Choose your alert type (app notification, email, popup, etc.).
Name it something like "Volume High Alert" and hit Create.
This tool is ideal for day traders, scalpers, and volume-based strategy traders who want to be instantly notified of spikes in market activity.
Tìm kiếm tập lệnh với "track"
Gap Day Stats TableDescription:
This Pine Script helps you analyze gap up and gap down days using a user-defined gap percentage threshold. It generates a real-time statistics table that tracks:
📈 Number of Gap Up Days
🔻 How many of those days closed lower (Open > Close)
🧮 Total points lost on such gap up days (Open - Close)
📉 Number of Gap Down Days
🔺 How many of those days closed higher (Close > Open)
🧮 Total points gained on such gap down days (Close - Open)
🔧 Customization:
Gap threshold is adjustable via input
Automatically updates stats daily
Ideal for spotting behavioral edge in gaps
This tool is useful for traders building gap trading systems, mean reversion models, or studying post-gap behavior in equities and indices.
Ultimate MA & PSAR [TARUN]Overview
This indicator combines a customizable Moving Average (MA) and Parabolic SAR (PSAR) to generate precise long and short trade signals. A dashboard displays real-time trade conditions, including signal direction, entry price, stop loss, and PnL tracking.
Key Features
✅ Customizable MA Type & Period – Choose between SMA or EMA with adjustable length.
✅ Adaptive PSAR Settings – Modify start, increment, and max step values to fine-tune stop levels.
✅ Trade Signal Logic – Identifies potential buy (long) and sell (short) opportunities based on:
Price action relative to MA
MA trend direction (rising or falling)
PSAR confirmation
✅ Dynamic Stop Loss Calculation – Uses lowest low/highest high over a specified period for stop loss placement.
✅ Trade State & Reversal Handling – Manages active trades, pending signals, and stop loss exits dynamically.
✅ PnL & Dashboard Table – Displays real-time signal status, entry price, stop loss, and profit/loss (PnL) in an easy-to-read format.
How It Works
1.Buy (Long) Condition:
MA is rising
Price is above the MA
PSAR is below price
2.Sell (Short) Condition:
MA is falling
Price is below the MA
PSAR is above price
3.Stop Loss Handling:
For long trades → stop loss is set at the lowest low of the last X candles
For short trades → stop loss is set at the highest high of the last X candles
4.Trade Execution & PnL Calculation:
If a valid long/short setup is detected, a pending signal is placed.
On the next bullish (for long) or bearish (for short) candle, the trade is confirmed.
Real-time PnL updates help track trade performance.
Customization Options
🔹 Moving Average: SMA or EMA, adjustable period
🔹 PSAR Settings: Start, Increment, Maximum step values
🔹 Stop Loss Lookback: Choose how many candles to consider for stop loss placement
🔹 Dashboard Positioning: Select preferred display location (top/bottom, left/right)
🔹 Trade Signal Selection: Enable/Disable Long and Short signals individually
How to Use
Add the indicator to your chart.
Customize the MA & PSAR settings according to your trading strategy.
Follow the dashboard signals for trade setups.
Use stop loss levels to manage risk effectively.
Disclaimer
⚠️ This indicator is for educational purposes only and does not constitute financial advice. Always perform proper risk management and backtesting before using it in live trading.
ATR - Asymmetric Turbulence Ribbon🧭 Asymmetric Turbulence Ribbon (ATR)
The Asymmetric Turbulence Ribbon (ATR) is an enhanced and reimagined version of the standard Average True Range (ATR) indicator. It visualizes not just raw volatility, but the structure, momentum, and efficiency of volatility through a multi-layered visual approach.
It contains two distinct visual systems:
1. A zero-centered histogram that expresses how current volatility compares to its historical average, with intensity and color showing speed and conviction
2. A braided ribbon made of dual ATR-based moving averages that highlight transitions in volatility behavior—whether volatility is expanding or contracting
The name reflects its purpose: to capture asymmetric, evolving turbulence in market behavior, through structure-aware volatility tracking.
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🔧 Inputs (Fibonacci defaults)
ATR Length
Lookback period for ATR calculation (default: 13)
ATR Base Avg. Length
Moving average period used as the zero baseline for histogram (default: 55)
ATR ROC Lookback
Number of bars to measure rate of change for histogram color mapping (default: 8)
Timeframe Override
Optionally calculate ATR values from a higher or fixed timeframe (e.g., 1D) for macro-volatility overlay
Show Ribbon Fill
Toggles colored fill between ATR EMA and HMA lines
Show ATR MAs
Toggles visibility of ATR EMA and HMA lines
Show Crossover Markers
Shows directional triangle markers where ATR EMA and HMA cross
Show Histogram
Toggles the entire histogram display
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📊 Histogram Component: Volatility Energy Profile
The histogram shows how far the current ATR is from its moving average baseline, centered around zero. This lets you interpret volatility pressure—whether it's expanding, contracting, or preparing to reverse.
To complement this, the indicator also plots the raw ATR line in aqua. This is the actual average true range value—used internally in both the histogram and ribbon calculations. By default, it appears as a slightly thicker line, providing a clear reference point for comparing historical volatility trends and absolute levels.
Use the baseline ATR to:
- Compare real-time volatility to previous peaks or troughs
- Monitor how ATR behaves near histogram flips or ribbon crossovers
- Evaluate volatility phases in absolute terms alongside relative momentum
The ATR line is particularly helpful for users who want to keep tabs on raw volatility values while still benefiting from the enhanced visual storytelling of the histogram and ribbon systems.
Each histogram bar is colored based on the rate of change (ROC) in ATR: The faster ATR rises or falls, the more intense the color. Meanwhile, the opacity of each bar is adjusted by the effort/result ratio of the price candle (body vs. range), showing how much price movement was achieved with conviction.
Color Interpretation:
🔴 Red
Strong volatility expansion
Market entering or deepening into a volatility burst
Seen during breakouts, panic moves, or macro shock events
Often accompanied by large real candle bodies
🟠 Orange
Moderate volatility expansion
Heating up phase, often precedes breakouts
Common in strong trending environments
Signals tightening before acceleration
🟡 Yellow
Mild volatility increase
Transitional state—energy building, not yet exploding
Appears in early trend development or pullbacks
🟢 Green
Mild volatility contraction
ATR cooling off
Seen during consolidation, reversion, or range balance
Good time to assess upcoming directional setups
🔵 Aqua
Moderate compression
Volatility is clearly declining
Signals consolidation within larger structure
Pre-breakout zones often form here
🔵 Deep Blue
Strong volatility compression
Market is coiling or dormant
Can signal upcoming squeeze or fade environment
Often followed by sharp expansion
Opacity scaling:
Brighter bars = efficient, directional price action (strong bodies)
Faded bars = indecision, chop, absorption, or wick-heavy structure
Together, color and opacity give a 2D view of market volatility: Hue = the type and direction of volatility
Opacity = the quality and structure behind it
Use this to gauge whether volatility is rising with conviction, fading into neutrality, or compressing toward breakout potential.
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🪡 Ribbon Component: Volatility Rhythm Structure
The ribbon overlays two moving averages of ATR:
EMA (yellow) – faster, more reactive
HMA (orange) – smoother, more rhythmic
Their relationship creates the ribbon logic:
Yellow fill (EMA > HMA)
Short-term volatility is increasing faster than the longer-term rhythm
Signals active expansion and engagement
Orange fill (HMA > EMA)
Volatility is decaying or leveling off
Suggests possible exhaustion, pullback, or range
Crossover triangle markers (optional, off by default to avoid clutter) identify the moment of shift in volatility phase.
The ribbon reflects the shape of volatility over time—ideal for mapping cyclical energy shifts, transitional states, and alignment between current and average volatility.
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📐 Strategy Application
Use the Asymmetric Turbulence Ribbon to:
- Detect volatility expansions before breakouts or directional runs
- Spot compression zones that precede structural ruptures
- Visually separate efficient moves from noisy market activity
- Confirm or fade trade setups based on underlying energy state
- Track the volatility environment across multiple timeframes using the override
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🎯 Ideal Timeframes
Designed to function across all timeframes, but particularly powerful on intraday to daily ranges (1H to 1D)
Use the timeframe override to anchor your chart in higher-timeframe volatility context, like daily ATR behavior influencing a 1H setup.
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🧬 Customization Tips
- Increase ATR ROC Lookback for smoother color transitions
- Extend ATR Base Avg Length for more macro-driven histogram centering
- Disable the histogram for ribbon-only rhythm view
- Use opacity and color shifts in the histogram to detect stealth energy builds
- Align ATR phases with structure or order flow tools for high-quality setups
zone trading stratThis only works for DOGEUSD , I made it for the 8cap chart so only use it for that.
If you want this for other symbols/charts you need to comment below or msg me.
# Price Zone Trading System: Technical Explanation
## Core Concept
The Price Zone Tracker is built on the concept that price tends to respect certain key levels or "zones" on the chart. These zones act as support and resistance areas where price may bounce or break through. The system combines zone analysis with multiple technical indicators to generate high-probability trading signals.
## Zone Analysis
The system tracks 9 predefined price zones. Each zone has both a high and low boundary, except for Zone 5 which is represented by a single line. When price enters a zone, the system monitors whether it stays within the zone, breaks above it (bullish), or breaks below it (bearish).
This zone behavior establishes the foundational bias of the system:
- When price closes above its previous zone: Zone State = Bullish
- When price closes below its previous zone: Zone State = Bearish
- When price remains within a zone: Zone State = Neutral
## Trend Analysis Components
The system performs multi-timeframe analysis using several technical components:
1. **Higher Timeframe Analysis** (±3 points in scoring)
- Uses 15-minute charts for sub-5-minute timeframes
- Uses 30-minute charts for 5-minute timeframes
- Uses 60-minute charts for timeframes above 5 minutes
- Evaluates candlestick patterns and EMA crossovers on the higher timeframe
2. **EMA Direction** (±1 point in scoring)
- Compares 12-period and 26-period EMAs
- Bullish when fast EMA > slow EMA
- Bearish when fast EMA < slow EMA
3. **MACD Analysis** (±1 point in scoring)
- Uses standard 12/26/9 MACD settings
- Bullish when MACD line crosses above signal line with positive histogram
- Bearish when MACD line crosses below signal line with negative histogram
4. **Price Action** (±2 points in scoring)
- Evaluates whether price is making higher highs/higher lows (uptrend)
- Or lower highs/lower lows (downtrend)
- Also considers ATR-based volatility and strength of movements
## Trend Score Calculation
All these components are weighted and combined into a trend score:
- Higher timeframe components have stronger weights (±2-3 points)
- Current timeframe components have moderate weights (±1 point)
- Price action components have varied weights (±0.5-2 points)
The final trend state is determined by thresholds:
- Score > +3: Trend Analysis State = Bullish
- Score < -3: Trend Analysis State = Bearish
- Score between -3 and +3: Trend Analysis State = Neutral
## Signal Generation Logic
The system combines the Zone State with the Trend Analysis State:
1. If Zone State and Trend Analysis State are both bullish:
- Combined State = Bullish
- Line Color = Green
2. If Zone State and Trend Analysis State are both bearish:
- Combined State = Bearish
- Line Color = Red
3. If Zone State and Trend Analysis State contradict each other:
- Combined State = Neutral
- Line Color = Black
This implements a safety mechanism requiring both zone analysis and technical indicators to agree before generating a directional signal.
## Trading Signals
Trading signals are generated based on changes in the Combined State:
- When Combined State changes from neutral/bearish to bullish:
- Trading Signal = LONG (green triangle appears on chart)
- When Combined State changes from neutral/bullish to bearish:
- Trading Signal = SHORT (red triangle appears on chart)
- When Combined State changes from bullish/bearish to neutral:
- Trading Signal = EXIT (yellow X appears on chart)
- When Combined State remains unchanged:
- Trading Signal = NONE (no new marker appears)
## Reversal Warning
The system also monitors for potential reversal conditions:
- When Combined State is bullish but both RSI and MFI are overbought (>70)
- When Combined State is bearish but both RSI and MFI are oversold (<30)
In these cases, a yellow diamond appears on the chart as a warning that a reversal might be imminent.
## Visual Elements
The indicator provides multiple visual elements:
1. Zone boundaries as translucent orange areas
2. A single colored line below price (green/red/black) showing the current signal
3. Trading signals as shapes on the chart
4. An information panel showing all relevant indicator values and signals
## Usage Limitations
The indicator is designed to work optimally on timeframes below 30 minutes. On higher timeframes, a warning appears and analysis is disabled.
ZenAlgo - LevelsThis script combines multiple anchored Volume-Weighted Average Price (VWAP) calculations into a single tool, providing a continuous record of past VWAP levels and highlighting when price has tested them. Typically, VWAP indicators show only the current VWAP for a single anchor period, requiring you to either keep re-anchoring manually or juggle multiple instances of different VWAP tools for each timeframe. By contrast, this script automatically tracks both the ongoing VWAP and previously completed VWAP values, along with real-time detection of “tests” (when price crosses a particular VWAP level). It’s especially valuable for traders who want to see how price has interacted with VWAP over several sessions, weeks, or months—without switching between separate indicators or manually setting anchors.
Below is a comprehensive explanation of each component, why multiple VWAP lines working together can be more informative than a single line, and how to adjust the script for various markets and trading styles:
Primary VWAP vs. Historical VWAP Lines - Standard VWAP indicators typically focus on the current line only. This script also calculates a primary VWAP, but it “locks in” each completed VWAP value when a new time anchor is detected (e.g., new weekly bar, new monthly bar, new session). As a result, you retain an ongoing history of VWAP lines for every completed anchored period. This is more powerful than manually setting up multiple VWAP tools—one for each desired timeframe—because everything is handled in a single script. You avoid chart clutter and the risk of forgetting to reset your manual VWAP at the correct bar.
Why Combine Multiple Anchored VWAP Lines in One Script? - Viewing several anchored VWAP lines together offers synergy . You see not only the current VWAP but also previous ones from different sessions or months, all within the same chart pane. This synergy becomes apparent if multiple historical VWAP lines cluster near the same price level, indicating a potentially significant zone of volume-based support or resistance. Handling this manually would involve repeatedly setting separate VWAP indicators, each reset at specific points, which is time-consuming and prone to error. In this script, the process is automated: as soon as the anchor changes, a completed VWAP line is stored so you can observe how price eventually reacts to it, repeatedly or not at all.
Automated “Test” Detection - Once a historical VWAP line is set, the script tracks when price crosses it in subsequent bars. If the high and low of a bar span that line, the script marks it in red (both the line and its label). It also keeps a counter of how many times each line has been tested. This method goes beyond a simple visual approach by quantifying the retests. Because all these lines are created and managed in one place, you don’t have to manually label the lines or check them one by one.
Advantages Over Manually Setting Multiple VWAPs
You save screen space: Instead of layering several VWAP indicators, each with unique settings, this single script plots them all on one overlay.
Automation: When a new anchor period begins, the script “closes out” the old VWAP and starts a new one. You never need to remember to reset it manually.
Retest Visualization: The script not only draws each line but also changes color and updates the label automatically if a line gets tested. Doing this by hand would be labor-intensive.
Unified Parameters: All settings (e.g., array size, max distance, test count limit) apply uniformly. You can manage them from one place, instead of configuring multiple separate tools.
Extended Insight with Multiple VWAP Lines
Since VWAP reflects the volume-weighted average price for each chosen period, historical lines can show zones where the market had a fair-value consensus in previous intervals. When the script preserves these lines, you see potential support/resistance areas more distinctly. If, for instance, price continually pivots around an old VWAP line, that may reveal a strong volume-based level. With several older VWAP lines on the chart, you gain an immediate sense of where these volume-derived averages have appeared and how price reacted over time. This wider perspective often proves more revealing than a single “current” VWAP line that does not reflect previous anchor sessions.
Handling of Illiquid Markets and Volume Limitations
VWAP is inherently tied to volume data, so its reliability decreases if volume reporting is missing or if the asset trades with very low liquidity. In such cases, a single large trade might momentarily skew the VWAP, resulting in “false” test signals when the high/low range intersects an abnormal price swing. If you suspect the data is incomplete or the market is unusually thin, it’s wise to confirm the validity of these VWAP lines before using them for any decision-making. Additionally, unusual market conditions—like after-hours trading or sudden high-volatility events—may cause VWAP to shift quickly, setting up multiple lines in a short time.
Key User-Configurable Settings
Hide VWAP on Day timeframe and above : Lets you disable the primary VWAP plot on daily or higher timeframes for a cleaner view.
Anchor Period : Select from Session, Week, Month, Quarter, Year, Decade or Century. Controls how frequently the script resets and preserves the VWAP line.
Offset : Moves the current VWAP line by a specified number of bars if you need a shifted perspective.
Max Array Size : Caps how many past VWAP lines the script will remember. Prevents clutter if you’re charting very long histories.
Max Distance : Defines how far back (in bar index units) a line is kept. If a line’s start bar is older than this threshold, it’s removed, keeping the chart uncluttered.
Max Red Labels : Limits the number of tested (red) VWAP lines that appear. If price tests a large number of old lines, only the newest red labels remain once you hit the set limit.
Workflow Overview
As soon as a new anchor period begins (e.g., a new weekly candle if “Week” is chosen), the script ends the current VWAP and stores that final value in its internal arrays.
It creates a dotted line and label representing the completed VWAP, and keeps track of whether it has been tested or not.
Subsequent bars may then cross that line. If a bar’s high/low includes the line’s value, it’s flagged as tested, labeled red, and a test counter increases.
As new anchored periods come, old lines remain visible—unless they fall outside your maxDistance or you exceed the maximum stored line count.
Real-World Benefits
Combining multiple VWAP lines—ranging, for example, from session-based lines for intraday perspectives to monthly or quarterly lines for broader context—provides a layered view of the volume-based fair price. This can help you quickly spot zones where price repeatedly intersects old VWAPs, potentially highlighting where bulls or bears took action historically. Because this script automates the management of all these lines and flags their retests, it removes a great deal of repetitive manual work that would typically accompany multiple, separate VWAP indicators set to different anchors.
Limitations & Practical Use
As with any volume-related tool, the script depends on reliable volume data. Assets trading on smaller venues or during illiquid periods may produce spurious signals. The script does not signal buy or sell decisions; rather, it helps visually map out where volume-weighted averages from previous periods might still be relevant to market behavior. Always combine the insight from these historical VWAP lines with your existing analytical approach or other technical and fundamental tools you use.
Conclusion
This script unifies past and present VWAP lines into one overlay, automatically detecting new anchor resets, storing the final VWAP values, and indicating whenever old lines are retested by price. It offers synergy through the simultaneous display of multiple historical VWAP lines, making it quicker and easier to detect potential support/resistance zones and better reflect changing market volumes over time. You no longer need to manually create, configure, or reset multiple VWAP indicators. Instead, the script handles all aspects of line creation, retest detection, and clutter management, giving you a robust framework to observe how historical VWAP data aligns with current price action.
By understanding the significance of multiple anchored VWAP lines, you can assess market structure from multiple angles in a single view. As always, ensure you confirm the reliability of the volume data for your particular asset and use these lines in conjunction with other analyses to form a well-rounded perspective on current market behavior.
EMA Alignment & Spread Monitor (Sang Youn)Overview
The EMA Alignment & Spread Monitor is a dynamic trading script designed to monitor EMA (Exponential Moving Average) alignments, track spread deviations, and provide real-time alerts when significant conditions are met. This script allows traders to customize their EMA periods, analyze market trends based on EMA positioning, and receive visual and audio alerts when key spread conditions occur.
🔹 Key Features
✅ Customizable EMA Periods – Users can input their own EMA lengths to adapt the script to various market conditions. (Default: 5, 10, 20, 60, 120)
✅ EMA Alignment Detection – Identifies bullish alignment (all EMAs in ascending order) and bearish alignment (all EMAs in descending order).
✅ Spread Calculation & Monitoring – Computes the spread difference between each EMA and tracks the average spread over a user-defined period.
✅ Deviation Alerts – Notifies traders when:
Bullish Trend: The spread exceeds its average, indicating a potential strong uptrend.
Bearish Trend: The spread falls below its average, signaling a possible downtrend.
✅ Chart Annotations – Displays 📈 (green triangle) when bullish spread exceeds average and 📉 (red triangle) when bearish spread drops below average for easy visualization.
✅ Real-time Alerts – Sends alerts when spread conditions are met, helping traders react to market shifts efficiently.
✅ Spread Histogram – Visual representation of bullish and bearish spread levels for trend analysis.
🔹 How It Works
1️⃣ Set your EMA periods in the script settings (default: 5, 10, 20, 60, 120).
2️⃣ Define the spread average calculation length (default: 50 candles).
3️⃣ The script tracks EMA alignment to determine bullish or bearish trends.
4️⃣ If the spread deviates significantly from its average, the script:
Places a 📈 green triangle above candles in a bullish trend when spread > average.
Places a 📉 red triangle below candles in a bearish trend when spread < average.
Triggers an alert for timely decision-making.
5️⃣ Use the histogram & real-time alerts to stay ahead of market movements.
Casa_VolumeProfileSessionLibrary "Casa_VolumeProfileSession"
Analyzes price and volume during regular trading hours to provide a session volume profile,
including Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL).
Calculates and displays these levels historically and for the developing session.
Offers customizable visualization options for the Value Area, POC, histogram, and labels.
Uses lower timeframe data for increased accuracy and supports futures sessions.
The number of rows used for the volume profile can be fixed or dynamically calculated based on the session's price range and the instrument's minimum tick increment, providing optimal resolution.
calculateEffectiveRows(configuredRows, dayHigh, dayLow)
Determines the optimal number of rows for the volume profile, either using the configured value or calculating dynamically based on price range and tick size
Parameters:
configuredRows (int) : User-specified number of rows (0 means auto-calculate)
dayHigh (float) : Highest price of the session
dayLow (float) : Lowest price of the session
Returns: The number of rows to use for the volume profile
debug(vp, position)
Helper function to write some information about the supplied SVP object to the screen in a table.
Parameters:
vp (Object) : The SVP object to debug
position (string) : The position.* to place the table. Defaults to position.bottom_center
getLowerTimeframe()
Depending on the timeframe of the chart, determines a lower timeframe to grab volume data from for the analysis
Returns: The timeframe string to fetch volume for
get(volumeProfile, lowerTimeframeHigh, lowerTimeframeLow, lowerTimeframeVolume, lowerTimeframeTime, lowerTimeframeSessionIsMarket)
Populated the provided SessionVolumeProfile object with vp data on the session.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to populate
lowerTimeframeHigh (array) : The lower timeframe high values
lowerTimeframeLow (array) : The lower timeframe low values
lowerTimeframeVolume (array) : The lower timeframe volume values
lowerTimeframeTime (array) : The lower timeframe time values
lowerTimeframeSessionIsMarket (array) : The lower timeframe session.ismarket values (that are futures-friendly)
drawPriorValueAreas(todaySessionVolumeProfile, extendYesterdayOverToday, showLabels, labelSize, pocColor, pocStyle, pocWidth, vahlColor, vahlStyle, vahlWidth, vaColor)
Given a SessionVolumeProfile Object, will render the historical value areas for that object.
Parameters:
todaySessionVolumeProfile (Object) : The SessionVolumeProfile Object to draw
extendYesterdayOverToday (bool) : Defaults to true
showLabels (bool) : Defaults to true
labelSize (string) : Defaults to size.small
pocColor (color) : Defaults to #e500a4
pocStyle (string) : Defaults to line.style_solid
pocWidth (int) : Defaults to 1
vahlColor (color) : The color of the value area high/low lines. Defaults to #1592e6
vahlStyle (string) : The style of the value area high/low lines. Defaults to line.style_solid
vahlWidth (int) : The width of the value area high/low lines. Defaults to 1
vaColor (color) : The color of the value area background. Defaults to #00bbf911)
drawHistogram(volumeProfile, bgColor, showVolumeOnHistogram)
Given a SessionVolumeProfile object, will render the histogram for that object.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to draw
bgColor (color) : The baseline color to use for the histogram. Defaults to #00bbf9
showVolumeOnHistogram (bool) : Show the volume amount on the histogram bars. Defaults to false.
Object
Object Contains all settings and calculated values for a Volume Profile Session analysis
Fields:
numberOfRows (series int) : Number of price levels to divide the range into. If set to 0, auto-calculates based on price range and tick size
valueAreaCoverage (series int) : Percentage of total volume to include in the Value Area (default 70%)
trackDevelopingVa (series bool) : Whether to calculate and display the Value Area as it develops during the session
valueAreaHigh (series float) : Upper boundary of the Value Area - price level containing specified % of volume
pointOfControl (series float) : Price level with the highest volume concentration
valueAreaLow (series float) : Lower boundary of the Value Area
startTime (series int) : Session start time in Unix timestamp format
endTime (series int) : Session end time in Unix timestamp format
dayHigh (series float) : Highest price of the session
dayLow (series float) : Lowest price of the session
step (series float) : Size of each price row (calculated as price range divided by number of rows)
pointOfControlLevel (series int) : Index of the row containing the Point of Control
valueAreaHighLevel (series int) : Index of the row containing the Value Area High
valueAreaLowLevel (series int) : Index of the row containing the Value Area Low
lastTime (series int) : Tracks the most recent timestamp processed
volumeRows (map) : Stores volume data for each price level row (key=row number, value=volume)
ltfSessionHighs (array) : Stores high prices from lower timeframe data
ltfSessionLows (array) : Stores low prices from lower timeframe data
ltfSessionVols (array) : Stores volume data from lower timeframe data
DynamicMALibrary "DynamicMA"
Dynamic Moving Averages Library
Introduction
The Dynamic Moving Averages Library is a specialized collection of custom built functions designed to calculate moving averages dynamically, beginning from the first available bar. Unlike standard moving averages, which rely on fixed length lookbacks, this library ensures that indicators remain fully functional from the very first data point, making it an essential tool for analysing assets with short time series or limited historical data.
This approach allows traders and developers to build robust indicators that do not require a preset amount of historical data before generating meaningful outputs. It is particularly advantageous for:
Newly listed assets with minimal price history.
High-timeframe trading, where large lookback periods can lead to delayed or missing data.
By eliminating the constraints of fixed lookback periods, this library enables the seamless construction of trend indicators, smoothing functions, and hybrid models that adapt instantly to market conditions.
Comprehensive Set of Custom Moving Averages
The library includes a wide range of custom dynamic moving averages, each designed for specific analytical use cases:
SMA (Simple Moving Average) – The fundamental moving average, dynamically computed.
EMA (Exponential Moving Average) – Adaptive smoothing for better trend tracking.
DEMA (Double Exponential Moving Average) – Faster trend detection with reduced lag.
TEMA (Triple Exponential Moving Average) – Even more responsive than DEMA.
WMA (Weighted Moving Average) – Emphasizes recent price action while reducing noise.
VWMA (Volume Weighted Moving Average) – Accounts for volume to give more weight to high-volume periods.
HMA (Hull Moving Average) – A superior smoothing method with low lag.
SMMA (Smoothed Moving Average) – A hybrid approach between SMA and EMA.
LSMA (Least Squares Moving Average) – Uses linear regression for trend detection.
RMA (Relative Moving Average) – Used in RSI-based calculations for smooth momentum readings.
ALMA (Arnaud Legoux Moving Average) – A Gaussian-weighted MA for superior signal clarity.
Hyperbolic MA (HyperMA) – A mathematically optimized averaging method with dynamic weighting.
Each function dynamically adjusts its calculation length to match the available bar count, ensuring instant functionality on all assets.
Fully Optimized for Pine Script v6
This library is built on Pine Script v6, ensuring compatibility with modern TradingView indicators and scripts. It includes exportable functions for seamless integration into custom indicators, making it easy to develop trend-following models, volatility filters, and adaptive risk-management systems.
Why Use Dynamic Moving Averages?
Traditional moving averages suffer from a common limitation: they require a fixed historical window to generate meaningful values. This poses several problems:
New Assets Have No Historical Data - If an asset has only been trading for a short period, traditional moving averages may not be able to generate valid signals.
High Timeframes Require Massive Lookbacks - On 1W or 1M charts, a 200-period SMA would require 200 weeks or months of data, making it unusable on newer assets.
Delayed Signal Initialization - Standard indicators often take dozens of bars to stabilize, reducing effectiveness when trading new trends.
The Dynamic Moving Averages Library eliminates these issues by ensuring that every function:
Starts calculation from bar one, using available data instead of waiting for a lookback period.
Adapts dynamically across timeframes, making it equally effective on low or high timeframes.
Allows smoother, more responsive trend tracking, particularly useful for volatile or low-liquidity assets.
This flexibility makes it indispensable for custom script developers, quantitative analysts, and discretionary traders looking to build more adaptive and resilient indicators.
Final Summary
The Dynamic Moving Averages Library is a versatile and powerful set of functions designed to overcome the limitations of fixed-lookback indicators. By dynamically adjusting the calculation length from the first bar, this library ensures that moving averages remain fully functional across all timeframes and asset types, making it an essential tool for traders and developers alike.
With built-in adaptability, low-lag smoothing, and support for multiple moving average types, this library unlocks new possibilities for quantitative trading and strategy development - especially for assets with short price histories or those traded on higher timeframes.
For traders looking to enhance signal reliability, minimize lag, and build adaptable trading systems, the Dynamic Moving Averages Library provides an efficient and flexible solution.
SMA(sourceData, maxLength)
Dynamic SMA
Parameters:
sourceData (float)
maxLength (int)
EMA(src, length)
Dynamic EMA
Parameters:
src (float)
length (int)
DEMA(src, length)
Dynamic DEMA
Parameters:
src (float)
length (int)
TEMA(src, length)
Dynamic TEMA
Parameters:
src (float)
length (int)
WMA(src, length)
Dynamic WMA
Parameters:
src (float)
length (int)
HMA(src, length)
Dynamic HMA
Parameters:
src (float)
length (int)
VWMA(src, volsrc, length)
Dynamic VWMA
Parameters:
src (float)
volsrc (float)
length (int)
SMMA(src, length)
Dynamic SMMA
Parameters:
src (float)
length (int)
LSMA(src, length, offset)
Dynamic LSMA
Parameters:
src (float)
length (int)
offset (int)
RMA(src, length)
Dynamic RMA
Parameters:
src (float)
length (int)
ALMA(src, length, offset_sigma, sigma)
Dynamic ALMA
Parameters:
src (float)
length (int)
offset_sigma (float)
sigma (float)
HyperMA(src, length)
Dynamic HyperbolicMA
Parameters:
src (float)
length (int)
Sma Indicator with Ratio (pr)SMA Indicator with Ratio (PR) is a technical analysis tool designed to provide insights into the relationship between multiple Simple Moving Averages (SMAs) across different time frames. This indicator combines three key SMAs: the 111-period SMA, 730-period SMA, and 1400-period SMA. Additionally, it introduces a ratio-based approach, where the 730-period SMA is multiplied by factors of 2, 3, 4, and 5, allowing users to analyze potential market trends and price movements in relation to different SMA levels.
What Does This Indicator Do?
The primary function of this indicator is to track the movement of prices in relation to several SMAs with varying periods. By visualizing these SMAs, users can quickly identify:
Short-term trends (111-period SMA)
Medium-term trends (730-period SMA)
Long-term trends (1400-period SMA)
Additionally, the multiplied versions of the 730-period SMA provide deeper insights into potential price reactions at different levels of market volatility.
How Does It Work?
The 111-period SMA tracks the shorter-term price trend and can be used for identifying quick market movements.
The 730-period SMA represents a longer-term trend, helping users gauge overall market sentiment and direction.
The 1400-period SMA acts as a very long-term trend line, giving users a broad perspective on the market’s movement.
The ratio-based SMAs (2x, 3x, 4x, 5x of the 730-period SMA) allow for an enhanced understanding of how the price reacts to higher or lower volatility levels. These ratios are useful for identifying key support and resistance zones in a dynamic market environment.
Why Use This Indicator?
This indicator is useful for traders and analysts who want to track the interaction of price with different moving averages, enabling them to make more informed decisions about potential trend reversals or continuations. The added ratio-based values enhance the ability to predict how the market might react at different levels.
How to Use It?
Trend Confirmation: Traders can use the indicator to confirm the direction of the market. If the price is above the 111, 730, or 1400-period SMA, it may indicate an uptrend, and if below, a downtrend.
Support/Resistance Levels: The multiplied versions of the 730-period SMA (2x, 3x, 4x, 5x) can be used as dynamic support or resistance levels. When the price approaches or crosses these levels, it might indicate a change in the trend.
Volatility Insights: By observing how the price behaves relative to these SMAs, traders can gauge market volatility. Higher multiples of the 730-period SMA can signal more volatile periods where price movements are more pronounced.
Uptrick: Zero Lag HMA Trend Suite1. Name and Purpose
Uptrick: Zero Lag HMA Trend Suite is a Pine Version 6 script that builds upon the Hull Moving Average (HMA) to offer an advanced trend analysis tool. Its purpose is to help traders identify trend direction, potential reversals, and overall market momentum with reduced lag compared to traditional moving averages. By combining the HMA with Average True Range (ATR) thresholds, slope-dependent coloring, Volume Weighted Average Price (VWAP) ribbons, and optional reversal signals, the script aims to give a detailed view of price activity in various market environments.
2. Overview
This script begins with the calculation of a Hull Moving Average, a method that blends Weighted Moving Averages in a way designed to cut down on lag while still smoothing out price fluctuations. Next, several enhancements are applied. The script compares current HMA values to previous ones for slope-based coloring, which highlights uptrends and downtrends at a glance. It also plots buy and sell signals when price moves beyond or below thresholds determined by the ATR and the user’s chosen signal multiplier. An optional VWAP ribbon can be shown to confirm bullish or bearish conditions relative to a volume-weighted benchmark. Additionally, the script can plot reversal signals (labeled with B) at points where price crosses back toward the HMA from above or below. Taken together, these elements allow traders to visualize both the short-term momentum and the broader context of how price interacts with volatility and overall market direction.
3. Why These Indicators Have Been Linked Together
The reason the Hull Moving Average, the Average True Range, and the VWAP have been integrated into one script is to tackle multiple facets of market analysis in a single tool. The Zero Lag Hull Moving Average provides a responsive trend line, the ATR offers a measure of volatility that helps distinguish significant price shifts from typical fluctuations, and the VWAP acts as a reference for fair value based on traded volume. By layering all three, the script helps traders avoid the need to juggle multiple separate indicators and offers a holistic perspective. The slope-based coloring focuses on trend direction, the ATR-based thresholds refine possible buy and sell zones, and the VWAP ribbons provide insight into how price stands relative to an important volume-weighted level. The inclusion of up and down signals and reversal B labels further refines entries and exits.
4. Why Use Uptrick: Zero Lag HMA Trend Suite
The Hull Moving Average is already known for reacting more quickly to price changes compared to other moving averages while retaining a degree of smoothness. This suite enhances the basic HMA by showing colored gradients that make it easy to spot trend direction changes, highlighting potential entry or exit points based on volatility-driven thresholds, and optionally layering a volume-based measure of bullish or bearish market sentiment. By relying on a zero lag approach and additional data points, the script caters to those wanting a more responsive method of identifying shifts in market dynamics. The added reversal signals and up or down alerts give traders extra confirmation for potential turning points.
5. How This Extension Improves on the Basic HMA
This extension not only plots the Hull Moving Average but also includes data-driven alerts and visual cues that traditional HMA lines do not provide. First, it offers multi-layered slope coloring, making up or down trends quickly apparent. Second, it uses ATR-based thresholds to pinpoint moments when price may be extending beyond normal volatility, thus generating buy or sell signals. Third, the script introduces an optional VWAP ribbon to indicate whether the market is trading above or below this pivotal volume-weighted benchmark, adding a further confirmation step for bullish or bearish conditions. Finally, it incorporates optional reversal signals labeled with B, indicating points where price might swing back toward the main HMA line.
6. Core Components
The script can be broken down into several primary functions and features.
a. Zero Lag HMA Calculation
Uses two Weighted Moving Averages (half-length and full-length) combined through a smoothing step based on the square root of the chosen length. This approach is designed to reduce lag significantly compared to other moving averages.
b. Slope Detection
Compares current and prior HMA values to determine if the trend is up or down. The slope-based coloring changes between turquoise shades for upward movement and magenta shades for downward movement, making trend direction immediately visible.
c. ATR-Based Thresholding for Up and Down Signals
The script calculates an Average True Range over a user-defined period, then multiplies it by a signal factor to form two bands around the HMA. When price crosses below the lower band, an up (buy) signal appears; when it crosses above the upper band, a down (sell) signal is shown.
d. Reversal Signals (B Labels)
Tracks when price transitions back toward the main HMA from an extreme zone. When enabled, these reversal points are labeled with a B and can help traders see potential turning points or mean-reversion setups.
e. VWAP Bands
An optional Volume Weighted Average Price ribbon that plots above or below the HMA, indicating bullish or bearish conditions relative to a volume-weighted price benchmark. This can also act as a kind of support/ resistance.
7. User Inputs
a. HMA Length
Controls how quickly the moving average responds to price changes. Shorter lengths react faster but can lead to more frequent signals, whereas longer lengths produce smoother lines.
b. Source
Specifies the price input, such as close or an alternative source, for the calculation. This can help align the HMA with specific trading strategies.
c. ATR Length and Signal Multiplier
Defines how the script calculates average volatility and sets thresholds for buy or sell alerts. Adjusting these values can help filter out noise or highlight more aggressive signals.
d. Slope Index
Determines how many bars to look back for detecting slope direction, influencing how sensitive the slope coloring is to small fluctuations.
e. Show Buy and Sell Signals, Reversal Signals, and VWAP
Lets users toggle the display of these features. Turning off certain elements can reduce chart clutter if traders prefer a simpler layout.
8. Calculation Process
The script’s calculation follows a step-by-step approach. It first computes two Weighted Moving Averages of the selected price source, one over half the specified length and one over the full length. It then combines these using 2*wma1 minus wma2 to reduce lag, followed by applying another weighted average using the square root of the length. Simultaneously, it computes the ATR for a user-defined period. By multiplying ATR by the signal multiplier, it establishes upper and lower bands around the HMA, where crossovers generate buy (up) or sell (down) signals. The script can also plot reversal signals (B labels) when price crosses back from these bands in the opposite direction. For the optional VWAP feature, Pine Script’s ta.vwap function is used, and differences between the HMA and VWAP levels determine the color and opacity of the ribbon.
9. Signal Generation and Filtering
The ATR-based thresholds reduce the influence of small, inconsequential price swings. When price falls below the lower band, the script issues an up (buy) signal. If price breaks above the upper band, a down (sell) signal appears. These signals are visible through labels placed near the bars. Reversal signals, labeled with B, can be turned on to help detect when price retraces from an extended area back toward the main HMA line. Traders can disable or enable these signals to match their preferred level of chart detail or risk tolerance.
10. Visualization on the Chart
The Zero HMA Lag Trend Suite aims for visual clarity. The HMA line is plotted multiple times with increasing transparency to create a gradient effect. Turquoise gradients indicate upward slopes, and magenta gradients signify downward slopes. Bar coloring can be configured to align with the slope direction, providing quick insight into current momentum. When enabled, buy or sell labels are placed under or above the bars as price crosses the ATR-defined boundaries. If the reversal option is active, B labels appear around areas where price changes direction. The optional VWAP ribbons form background bands, using distinct coloration to signal whether price is above or below the volume-weighted metric.
11. Market Adaptability
Because the script’s parameters (HMA length, ATR length, signal multiplier, and slope index) are user-configurable, it can adapt to a wide range of markets and timeframes. Intraday traders may prefer a shorter HMA length for quick signals, while swing or position traders might use a longer HMA length to filter out short-lived price changes. The source setting can also be adjusted, allowing for specialized data inputs beyond just close or open values.
12. Risk Management Considerations
The script’s signals and labels are based on past price data and volatility readings, and they do not guarantee profitable outcomes. Sharp market reversals or unforeseen fundamental events can produce false signals. Traders should combine this tool with broader risk management strategies, including stop-loss placement, position sizing, and independent market analyses. The Zero HMA Lag Trend Suite can help highlight potential opportunities, but it should not be relied upon as the sole basis for trade decisions.
13. Combining with Other Tools
Many traders choose to verify signals from the Zero HMA Lag Trend Suite using popular indicators like the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), or even simple volume-based metrics to confirm whether a price movement has sufficient momentum. Conventional techniques such as support and resistance levels, chart patterns, or candlestick analysis can also supplement signals generated by the script’s up, down, or reversal B labels.
14. Parameter Customization and Examples
a. Short-Term Day Trading
Using a shorter HMA length (for instance, 9 or 14) and a slightly higher ATR multiplier might provide timely buy and sell signals, though it may also produce more whipsaws in choppy markets.
b. Swing or Position Trading
Selecting a longer HMA length (such as 50 or 100) with a moderate ATR multiplier can help users track more significant and sustained market moves, potentially reducing the effect of minor fluctuations.
c. Multiple Timeframe Blends
Some traders load two versions of the indicator on the same chart, one for short-term signals (with frequent B label reversals) and another for the broader trend direction, aligning entry and exit decisions with the bigger picture.
15. Realistic Expectations
Even though the Hull Moving Average helps minimize lag and the script incorporates volatility-based filters and optional VWAP overlays, it cannot predict future market behavior with complete accuracy. Periods of low liquidity or sudden market shocks can still lead to signals that do not reflect longer-term trends. Frequent parameter review and manual confirmation are advised before executing trades based solely on the script’s outputs.
16. Theoretical Background
The Hull Moving Average formula aims to balance smoothness with reactivity, accomplished by combining Weighted Moving Averages at varying lengths. By subtracting a slower average from a faster one and then applying another smoothing step with the square root of the original length, the HMA is designed to respond more promptly to price changes than typical exponential or simple moving averages. The ATR component, introduced by J. Welles Wilder, calculates the average range of price movement over a user-defined period, allowing the script to assess volatility and adapt signals accordingly. VWAP provides a volume-weighted benchmark that many institutional traders track to gauge fair intraday value.
17. Originality and Uniqueness
Although multiple HMA-based indicators can be found, Uptrick: Zero Lag HMA Trend Suite sets itself apart by merging slope-based coloring, ATR thresholds, VWAP ribbons, up or down labels, and optional reversal signals all in one cohesive platform. This synergy aims to reduce chart clutter while still giving traders a comprehensive look at trend direction, volatility, and volume-based sentiment.
18. Summary
Uptrick: Zero Lag HMA Trend Suite is a specialized trading script designed to highlight potential market trends and reversals with minimal delay. It leverages the Hull Moving Average for an adaptive yet smooth price line, pairs ATR-based thresholds for detecting possible breakouts or dips, and provides VWAP-based ribbons for added volume-weighted context. Traders can further refine their entries and exits by enabling up or down signals and reversal labels (B) where price may revert toward the HMA. Suitable for a wide range of timeframes and instrument types, the script encourages a disciplined approach to trade management and risk control.
19. Disclaimer
This script is provided for informational and educational purposes only. Trading and investing involve significant financial risk, and no indicator can guarantee success under all conditions. Users should practice robust risk management, including the placement of stop losses and position sizing, and should confirm signals with additional analysis tools. The developer of this script assumes no liability for any trading decisions or outcomes resulting from its use.
Timed Ranges [mktrader]The Timed Ranges indicator helps visualize price ranges that develop during specific time periods. It's particularly useful for analyzing market behavior in instruments like NASDAQ, S&P 500, and Dow Jones, which often show reactions to sweeps of previous ranges and form reversals.
### Key Features
- Visualizes time-based ranges with customizable lengths (30 minutes, 90 minutes, etc.)
- Tracks high/low range development within specified time periods
- Shows multiple cycles per day for pattern recognition
- Supports historical analysis across multiple days
### Parameters
#### Settings
- **First Cycle (HHMM-HHMM)**: Define the time range of your first cycle. The duration of this range determines the length of all subsequent cycles (e.g., "0930-1000" creates 30-minute cycles)
- **Number of Cycles per Day**: How many consecutive cycles to display after the first cycle (1-20)
- **Maximum Days to Display**: Number of historical days to show the ranges for (1-50)
- **Timezone**: Select the appropriate timezone for your analysis
#### Style
- **Box Transparency**: Adjust the transparency of the range boxes (0-100)
### Usage Example
To track 30-minute ranges starting at market open:
1. Set First Cycle to "0930-1000" (creates 30-minute cycles)
2. Set Number of Cycles to 5 (will show ranges until 11:30)
3. The indicator will display:
- Range development during each 30-minute period
- Visual progression of highs and lows
- Color-coded cycles for easy distinction
### Use Cases
- Identify potential reversal points after range sweeps
- Track regular time-based support and resistance levels
- Analyze market structure within specific time windows
- Monitor range expansions and contractions during key market hours
### Tips
- Use in conjunction with volume analysis for better confirmation
- Pay attention to breaks and sweeps of previous ranges
- Consider market opens and key session times when setting cycles
- Compare range sizes across different time periods for volatility analysis
FuTech : IPO Lock-in Ends FuTech: Lock-in Ends - First ever unique Indicator on the TradingView platform
Hello Everyone !
Introducing the first-ever unique indicator on the TradingView platform to track the lock-in period expiry dates for IPOs.
The FuTech Lock-in Ends Indicator is specifically designed to assist traders and investors in identifying the key dates when lock-in periods for IPO shares come to an end.
This provides an edge in preparing for potential market movements driven by buying or selling pressures associated with significant share volumes.
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Key Features:
1. Tracks Multiple Lock-in Periods:
- Identifies dates when the 30 days, 90 days, 6 months, and 18 months lock-in periods for IPO shares expire.
- Helps traders anticipate potential market action driven by share releases.
2. IPO Lock-in Ends dates as per Compliance with SEBI Guidelines:
- SEBI (Securities and Exchange Board of India) mandates lock-in periods for IPO shares based on investor categories:
- A) Promoters:
- Lock-in period reduced to 18 months for up to 20% of post-issue paid-up capital (previously 3 years).
- For shareholding exceeding 20%, the lock-in period is further reduced to 6 months (previously 1 year).
- B) Anchor Investors:
- 50% of allotted shares: Lock-in period of 90 days from the date of allotment.
- Remaining 50% of shares: Lock-in period of 30 days from the date of allotment.
- C) Non-promoters:
- Lock-in period reduced to 6 months (previously 1 year).
After these lock-in periods end, investors may buy / sell their shares, which can result in significant market activity.
3. Visual Indicator on Charts:
- The indicator draws vertical lines on the TradingView chart at the respective lock-in expiry dates.
- Alerts users in advance about potential market activity due to the release of locked shares.
- Traders can use these alerts to prepare for positions or adjust their existing holdings accordingly.
4. Customizable Settings:
- Users can modify the color of the labels and width of the lines to suit their preferences and enhance chart visibility.
5. User-defined Allotment Dates:
- If the allotment date is known, users can input this information directly. The indicator will then calculate the lock-in period dates based on the provided allotment date, ensuring precise results.
- If no allotment date is entered, the default calculation assumes the allotment date to be three trading days prior to the listing date .
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Important Notes:
- Allotment Date Calculation:
- In the absence of user-defined allotment dates, the indicator estimates the allotment date as three trading days prior to the listing date .
- This approximation may deviate by one to two days from the actual event for certain IPOs.
- Proactive Alerts:
- Most dates are intentionally marked 1-2 days in advance to give traders sufficient time to act, whether for taking new positions or squaring off existing ones to avoid unfavorable losses.
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The FuTech Lock-in Ends Indicator is a must-have tool for IPO traders and investors looking to stay ahead of market movements. Use it to track key dates and plan your trading strategy effectively with FuTech : Chart is Art.
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Thank you !
Jai Swaminarayan Dasna Das !
He Hari ! Bas Ek Tu Raji Tha !
Nifty Top Gainers/Losers [ar]Nifty Top Gainers/Losers - Real-time Market Performance Tracker
A powerful indicator that monitors and displays real-time performance of 40 major Nifty stocks in a clean, organized table format. Perfect for traders seeking instant market breadth insights.
Key Features:
• Dynamic advances/declines counter at the top
• Real-time percentage change calculations
• Color-coded display (green for gainers, red for losers)
• Customizable reference points (Previous Day Close/Today's Open)
• Optional background color based on market breadth
• Flexible top gainers/losers limit setting
Customization Options:
- Adjust colors for gainers and losers
- Set transparency for background
- Modify the number of top performers to display
- Add/remove symbols from the watchlist
- Choose calculation reference (Previous Day Close/Today's Open)
Ideal for:
- Day traders monitoring market momentum
- Investors tracking sector rotation
- Analysts studying market breadth
- Portfolio managers seeking quick market overview
This indicator helps identify market leaders and laggards at a glance, making it an essential tool for informed trading decisions.
Abnormal volume [VG]🪙 INTRODUCTION
This technical indicator helps identify and highlight large volume clusters on the chart.
Abnormal volume refers to unusually large accumulations of volume over short time intervals. Such clusters appear when the amount of assets bought or sold significantly exceeds typical volumes for a specific asset over a given period. These patterns can indicate significant events or intentions of market participants.
Reasons for abnormal volume clusters:
Institutional investments :
Large investment funds and banks may buy or sell significant volumes of assets to rebalance their portfolios.
Impact of news and events :
Important news (e.g., mergers, bankruptcies, management changes) can trigger large-scale buying or selling of assets.
Market manipulation :
Big players may execute large trades to artificially create demand or supply for an asset, affecting its price in the short term.
Insider trading :
Abnormal volumes may signal that someone with insider information has started buying or selling assets in anticipation of future events that could impact the price.
What do abnormal volume clusters mean for traders?
A signal of potential price changes :
High trading volumes are often accompanied by sharp price movements. An increase in volume during price growth might indicate rising interest in the asset, while an increase during a decline could signal a sell-off.
Potential entry or exit points :
For short-term traders, abnormal trades can serve as signals to enter or exit positions. For example, a large volume growth accompanied by a breakout of a key level might be seen as a buy signal.
Caution due to potential manipulation :
Abnormal trades don’t always lead to expected outcomes. Sometimes, they are part of a price manipulation strategy, so it’s essential to consider the broader context and confirm with other signals.
🪙 USAGE
This indicator doesn’t provide trading signals, entry points, or actionable recommendations.
Instead, it simplifies tracking market dynamics and highlights unusual activity worth considering during analysis.
After adding the indicator to the chart, you only need to configure two parameters: the threshold value that determines what constitutes a significant volume cluster and the period over which volumes are aggregated for comparison against the threshold.
It’s recommended to use the shortest available period, as this helps more precisely identify the prevailing volume direction (since this depends on price changes, not trade direction).
The threshold value can be fine-tuned by switching the chart’s timeframe to match the selected period, observing of the significant volume increase on the classic volume histogram, and noting the corresponding market reactions. This allows for selecting a threshold that highlights early signs of impactful trading events on higher timeframes.
Let’s look at an example in the screenshot:
Once the parameters are set, you can also enable an alert to trigger whenever a new volume cluster appears, simplifying event tracking.
Note: in the current version of the indicator, the alert will be triggered only once per bar on the chart at the first detected cluster of abnormal volume.
🪙 IMPLEMENTATION
Technically, the script retrieves volume data from a lower timeframe and estimates whether the volume was primarily generated by buyers or sellers based on price movements.
The lower resolution timeframe is determined as follows:
if the settings base period is less than 1 minute, then the data timeframe will be equal to 1 second
if the settings base period is equals 1 minute or more, then the data timeframe will be equal to 1 minute
The algorithm checks whether the price increased or decreased at each point. If the price rose, the volume is presumed to be driven by buyers and marked as buy volume; otherwise, it’s marked as sell volume.
The total volume at each point is then checked against the user-defined threshold. If the volume exceeds the threshold, a corresponding circle is drawn on the chart, and an alert is generated if created.
The size of the visual representation is proportional to the most recent maximum volume and follows the rules below:
Percentage of max volume -> Volume cluster size
less than 25% -> Tiny
25% to 50% -> Small
50% to 75% -> Normal
75% to 100% -> Large
100% or more -> Huge
🪙 SETTINGS
The indicator is designed to be as simple and minimalist as possible, making configuration effortless. There are only two core parameters, with additional options to customize the colors of volume clusters based on their type.
Trade volume threshold
Defines the volume level above which a cluster is considered significant and displayed on the chart as a circle. The size of the circle depends on the proportion of the current volume relative to the most recent maximum over the chosen period.
Trades base period
Specifies the period for aggregating trade volumes to determine whether they qualify as abnormal. The significance level is set using the Trade volume threshold parameter.
Buy/Sell trades
Allows you to set the colors for abnormal volume circles based on the price direction during cluster formation.
🪙 CONCLUSION
Abnormal volume clusters are always a critical indicator requiring attention and analysis, but they are not a guaranteed predictor of trend changes.
Previous High and Low Count with Probabilities + Risk On/Off1. Purpose of the Script:
This trading script combines two important concepts:
Previous High and Low Count: It tracks whether the current price exceeds the previous day’s high or low and calculates probabilities for the next price movement (up or down).
Risk On / Risk Off Indicator: It evaluates market sentiment through various indicators (such as the Fear & Greed Index, VIX, and others) and shows whether the market is in a risk-on or risk-off state. This information impacts the probabilities of price movement.
2. How it Works:
Previous High and Low:
The script tracks how often the price exceeds the previous day’s high or low and calculates the probability of an upward or downward movement based on that. This gives you an idea of how often the market reacts at the previous day's high or low.
Risk On / Risk Off:
Based on various market factors (Fear & Greed Index, VIX, Put-Call Ratio, etc.), the script calculates the Risk On or Risk Off state.
In Risk On, the probability of an upward movement increases, and the probability of a downward movement decreases. In Risk Off, it’s the opposite.
Adjusted Probabilities:
The probabilities for an Up or Down movement are adjusted based on the current Risk On / Risk Off state. In a Risk On environment, the probability for an upward move increases, while in a Risk Off environment, the probability for a downward move increases.
3. How to Use the Script:
Add the Script in TradingView:
TradingView:
Click on "Add to Chart" to apply the script to your chart.
Manual Input of Indicators:
For the Fear & Greed Index, VIX, and other indicators, you need to manually enter the current values. You can get these values from various publicly available sources:
Fear & Greed Index: CNN Fear & Greed Index
VIX (Volatility Index): VIX Index
Other indicators like Put-Call Ratio, Bitcoin Volatility, Oil Prices, and US Dollar Index can also be manually inputted, and they can be found on finance websites like Yahoo Finance, MarketWatch, and Bloomberg.
Observe the Colors and Symbols:
If the market is in a Risk On state, the background will turn green, and a green triangle will appear below the candle.
If the market is in a Risk Off state, the background will turn red, and a red triangle will appear above the candle.
Track the Probabilities:
A label will appear on the chart showing the calculated probabilities for Up and Down movements. These probabilities are adjusted based on the current market state (Risk On/Off).
4. Meaning of the Probabilities:
Up Probability: Indicates the probability that the price will rise.
Down Probability: Indicates the probability that the price will fall.
The probabilities are dynamic and adjust based on the Risk On / Risk Off state, helping you make better decisions based on the current market conditions.
Formation Defined Moving Support and ResistanceThe script was originally coded in 2018 with Pine Script version 3, and it was in protected code status. It has been updated and optimised for Pine Script v5 and made completely open source.
The Formation Defined Moving Support and Resistance indicator is a sophisticated tool for identifying dynamic support and resistance levels based on specific price formations and level interactions. This indicator goes beyond traditional static support and resistance by updating levels based on predefined formation patterns and market behaviour, providing traders with a more responsive view of potential support and resistance zones.
Features:
The indicator detects essential price levels:
Lower Low (LL)
Higher Low (HL)
Higher High (HH)
Lower High (LH)
Equal Lower Low (ELL)
Equal Higher Low (EHL)
Equal Higher High (EHH)
Equal Lower High (ELH)
By identifying these key points, the script builds a foundation for tracking and responding to changes in price structure.
Pre-defined Formations and Comparisons:
The indicator calculates and recognises nine different pre-defined formations, such as bullish and bearish formations, based on the sequence of price levels.
These formations are compared against previous levels and formations, allowing for a sophisticated understanding of recent market movements and momentum shifts.
This formation-based approach provides insights into whether the price is likely to maintain, break, or reverse key levels.
Dynamic Support and Resistance Levels:
The indicator offers an option to toggle Moving Support and Resistance Levels.
When enabled, the support and resistance levels dynamically adjust:
Upon a change in the detected formation.
When the bar’s closing price breaks the last defined support or resistance level.
This feature ensures that the support and resistance levels adapt quickly to market changes, giving a more accurate and responsive perspective.
Customisable Price Source:
Users can choose the price source for level detection, selecting between close or high/low prices.
This flexibility allows the indicator to adapt to different trading styles, whether the focus is on closing prices for more conservative levels or on highs and lows for more sensitive level tracking.
This indicator can benefit traders relying on dynamic support and resistance rather than fixed, historical levels. It adapts to recent price actions and market formations, making it useful for identifying entry and exit points, trend continuation or reversal, and setting trailing stops based on updated support and resistance levels.
Session High Low 2024
Overview of the Code:
Input for Session Times:
You set up inputs for the start and end times of the trading session, allowing you to customize them as needed.
Time Range Function:
A function isTimeInRange checks whether the current time falls within the specified session start and end times.
initialize High and Low:
indicator initialize session high, low, and their corresponding labels and lines.
Tracking Session High and Low:
Within the specified time range, continuously update session1High and session1Low based on the highest and lowest prices encountered.
Time of Session High/Low:
The High_Time and Low_Time are tracked using the ta.valuewhen() function to capture the exact times when the session high and low occur.
Notes Creation:
You format the high and low values along with their timestamps to create notes that will be displayed alongside the lines.
Drawing Lines and Labels:
After the session ends, you check if there is a new session high or low and draw lines and labels accordingly. If a line or label already exists, you delete it before drawing a new one.
Resetting for Next Session:
At the end of the session, the high and low values are reset for the next session.
Suggestions for Improvement:
Dynamic Line Extensions:
Clear Variable Names Used in Code:
Consider using more descriptive names for variables like Entry_Point and SL_Point to make the code easier to understand.
Commenting:
Although the code is well-commented, always ensure the comments explain the "why" behind the code rather than just the "what."
Example Output:
The output will show the highest and lowest prices during the specified session times and the times they occurred formatted correctly. This output is useful for quick reference during trading and aids in making informed decisions.
Added functionality tool tip Note:
Added a tooltip Note to Get All information of Session High Low & Range.
If you need further modifications, enhancements, or specific functionalities added to this script, please let me know!
Trade Entry Detector, Wick to Body Ratio Trade Entry Detector: Wick-to-Body Ratio Strategy with Bollinger Bands
Overview
The Trade Entry Detector is a custom strategy for TradingView that leverages the Bollinger Bands and a unique wick-to-body ratio approach to capture precise entry opportunities. This indicator is designed for traders who want to pinpoint high-probability reversal points when price interacts with Bollinger Bands, all while offering flexible entry fill options.
The strategy performs primary analysis on the daily time frame, regardless of your current chart setting, allowing you to view daily Bollinger Band levels and entry signals even on lower time frames. This approach is suitable for swing traders and short-term traders looking to align intraday moves with higher time frame signals.
How the Strategy Works
1. Bollinger Band Analysis on the Daily Time Frame
Bollinger Bands are calculated using a 20-period simple moving average (SMA) and a standard deviation multiplier (default is 2). These bands dynamically expand and contract based on market volatility, making them ideal for identifying overbought and oversold conditions:
* Upper Band: Indicates potential overbought levels.
* Lower Band: Indicates potential oversold levels.
2. Wick-to-Body Ratio Condition
This strategy places significant emphasis on candle wicks relative to the candle body. Here’s why:
* A large upper wick relative to the body signals potential selling pressure after testing the upper Bollinger Band.
* A large lower wick relative to the body indicates buying support after testing the lower Bollinger Band.
* Ratio Threshold: You can set a minimum wick-to-body ratio (default is 1.0), meaning that the wick must be at least equal in size to the body. This ensures only candles with significant reversals are considered for entry.
3. Flexible Entry Timing
To adapt to various trading styles, the indicator allows you to choose the entry fill timing:
* Daily Close: Enter at the close of the daily candle.
* Daily Open: Enter at the open of the following daily candle.
* HOD (High of Day): Set entry at the daily high, for those who want confirmation of upward momentum.
* LOD (Low of Day): Set entry at the daily low, ideal for confirming downward movement.
4. Position Sizing and Risk Management
The strategy calculates position size based on a fixed risk percentage of your account balance (default is 1%). This approach dynamically adjusts position sizes based on stop-loss distance:
* Stop Loss: Placed at the nearest swing high (for shorts) or swing low (for longs).
* Take Profit: Exits are triggered when the price reaches the opposite Bollinger Band.
5. Order Expiration
Each pending order (long or short) expires after two days if unfilled, allowing for new setups on subsequent candles if conditions are met again.
Using the Trade Entry Detector
Step-by-Step Guide
1. Set the Primary Time Frame
The core calculations run on the daily time frame, but the strategy can be applied to intraday charts (e.g., 65-minute or 15-minute) for deeper insights.
2. Adjust Bollinger Band Settings
* Length: Default is 20, which determines the period for calculating the moving average.
* Standard Deviation Multiplier: Default is 2.0, which sets the width of the bands. Adjusting this can help you capture broader or tighter volatility ranges.
3. Define the Wick-to-Body Ratio
Set the minimum ratio between wick and body (default 1.0). Higher values filter out candles with less wick-to-body contrast, focusing on stronger rejection moves.
4. Choose Entry Fill Timing
Select your preferred fill condition:
* Daily Close: Confirms the trade at the end of the daily session.
* Daily Open: Executes the entry at the open of the next day.
* HOD/LOD: Uses the daily high or low as an additional confirmation for upward or downward moves.
5. Position Sizing and Risk Management
* Set your account balance and risk percentage. The strategy automatically calculates position sizes based on the stop distance to manage risk efficiently.
* Stop Loss and Take Profit points are automatically set based on swing highs/lows and opposing Bollinger Bands, respectively.
Practical Example
Let’s say SPY (S&P 500 ETF) tests the lower Bollinger Band on the daily time frame, with a lower wick that is twice the size of the body (meeting the 1.0 ratio threshold). Here’s how the strategy might proceed:
1. Signal: The lower wick on SPY suggests buying interest at the lower Bollinger Band.
2. Entry Fill Timing: If you’ve selected "Daily Open," the entry order will be placed at the next day's open price.
3. Stop Loss: Positioned at the nearest daily swing low to minimize risk.
4. Take Profit: If SPY price moves up and reaches the upper Bollinger Band, the position is automatically closed.
Indicator Features and Benefits
* Multi-Time Frame Compatibility: Perform daily analysis while tracking signals on any intraday chart.
* Automatic Position Sizing: Tailor risk per trade based on account balance and desired risk percentage.
* Flexible Entry Options: Choose from close, open, HOD, or LOD for optimal timing.
* Effective Trend Reversal Identification: Uses wick-to-body ratio and Bollinger Band interaction to pinpoint potential reversals.
* Dynamic Visualization: Bollinger Bands are displayed on your chosen time frame, allowing seamless intraday tracking.
Summary
The Trade Entry Detector provides a unique, data-driven way to spot reversal points with customizable entry options. By combining Bollinger Bands with wick-to-body ratio conditions, it identifies potential trade setups where price has tested extremes and shown reversal signals. With its flexible entry timing, risk management features, and multi-time frame compatibility, this indicator is ideal for traders looking to blend daily market context with shorter-term execution.
Tips for Usage:
* For swing trading, consider the Daily Open or Close entry options.
* For momentum entries, HOD or LOD may offer better alignment with the direction of the wick.
* Backtest on different assets to find optimal Bollinger Band and wick-to-body settings for your market.
Use this indicator to enhance your understanding of price behavior at key levels and improve the precision of your entry points. Happy trading!
Price Action Analyst [OmegaTools]Price Action Analyst (PAA) is an advanced trading tool designed to assist traders in identifying key price action structures such as order blocks, market structure shifts, liquidity grabs, and imbalances. With its fully customizable settings, the script offers both novice and experienced traders insights into potential market movements by visually highlighting premium/discount zones, breakout signals, and significant price levels.
This script utilizes complex logic to determine significant price action patterns and provides dynamic tools to spot strong market trends, liquidity pools, and imbalances across different timeframes. It also integrates an internal backtesting function to evaluate win rates based on price interactions with supply and demand zones.
The script combines multiple analysis techniques, including market structure shifts, order block detection, fair value gaps (FVG), and ICT bias detection, to provide a comprehensive and holistic market view.
Key Features:
Order Block Detection: Automatically detects order blocks based on price action and strength analysis, highlighting potential support/resistance zones.
Market Structure Analysis: Tracks internal and external market structure changes with gradient color-coded visuals.
Liquidity Grabs & Breakouts: Detects potential liquidity grab and breakout areas with volume confirmation.
Fair Value Gaps (FVG): Identifies bullish and bearish FVGs based on historical price action and threshold calculations.
ICT Bias: Integrates ICT bias analysis, dynamically adjusting based on higher-timeframe analysis.
Supply and Demand Zones: Highlights supply and demand zones using customizable colors and thresholds, adjusting dynamically based on market conditions.
Trend Lines: Automatically draws trend lines based on significant price pivots, extending them dynamically over time.
Backtesting: Internal backtesting engine to calculate the win rate of signals generated within supply and demand zones.
Percentile-Based Pricing: Plots key percentile price levels to visualize premium, fair, and discount pricing zones.
High Customizability: Offers extensive user input options for adjusting zone detection, color schemes, and structure analysis.
User Guide:
Order Blocks: Order blocks are significant support or resistance zones where strong buyers or sellers previously entered the market. These zones are detected based on pivot points and engulfing price action. The strength of each block is determined by momentum, volume, and liquidity confirmations.
Demand Zones: Displayed in shades of blue based on their strength. The darker the color, the stronger the zone.
Supply Zones: Displayed in shades of red based on their strength. These zones highlight potential resistance areas.
The zones will dynamically extend as long as they remain valid. Users can set a maximum number of order blocks to be displayed.
Market Structure: Market structure is classified into internal and external shifts. A bullish or bearish market structure break (MSB) occurs when the price moves past a previous high or low. This script tracks these breaks and plots them using a gradient color scheme:
Internal Structure: Short-term market structure, highlighting smaller movements.
External Structure: Long-term market shifts, typically more significant.
Users can choose how they want the structure to be visualized through the "Market Structure" setting, choosing from different visual methods.
Liquidity Grabs: The script identifies liquidity grabs (false breakouts designed to trap traders) by monitoring price action around highs and lows of previous bars. These are represented by diamond shapes:
Liquidity Buy: Displayed below bars when a liquidity grab occurs near a low.
Liquidity Sell: Displayed above bars when a liquidity grab occurs near a high.
Breakouts: Breakouts are detected based on strong price momentum beyond key levels:
Breakout Buy: Triggered when the price closes above the highest point of the past 20 bars with confirmation from volume and range expansion.
Breakout Sell: Triggered when the price closes below the lowest point of the past 20 bars, again with volume and range confirmation.
Fair Value Gaps (FVG): Fair value gaps (FVGs) are periods where the price moves too quickly, leaving an unbalanced market condition. The script identifies these gaps:
Bullish FVG: When there is a gap between the low of two previous bars and the high of a recent bar.
Bearish FVG: When a gap occurs between the high of two previous bars and the low of the recent bar.
FVGs are color-coded and can be filtered by their size to focus on more significant gaps.
ICT Bias: The script integrates the ICT methodology by offering an auto-calculated higher-timeframe bias:
Long Bias: Suggests the market is in an uptrend based on higher timeframe analysis.
Short Bias: Indicates a downtrend.
Neutral Bias: Suggests no clear directional bias.
Trend Lines: Automatic trend lines are drawn based on significant pivot highs and lows. These lines will dynamically adjust based on price movement. Users can control the number of trend lines displayed and extend them over time to track developing trends.
Percentile Pricing: The script also plots the 25th percentile (discount zone), 75th percentile (premium zone), and a fair value price. This helps identify whether the current price is overbought (premium) or oversold (discount).
Customization:
Zone Strength Filter: Users can set a minimum strength threshold for order blocks to be displayed.
Color Customization: Users can choose colors for demand and supply zones, market structure, breakouts, and FVGs.
Dynamic Zone Management: The script allows zones to be deleted after a certain number of bars or dynamically adjusts zones based on recent price action.
Max Zone Count: Limits the number of supply and demand zones shown on the chart to maintain clarity.
Backtesting & Win Rate: The script includes a backtesting engine to calculate the percentage of respect on the interaction between price and demand/supply zones. Results are displayed in a table at the bottom of the chart, showing the percentage rating for both long and short zones. Please note that this is not a win rate of a simulated strategy, it simply is a measure to understand if the current assets tends to respect more supply or demand zones.
How to Use:
Load the script onto your chart. The default settings are optimized for identifying key price action zones and structure on intraday charts of liquid assets.
Customize the settings according to your strategy. For example, adjust the "Max Orderblocks" and "Strength Filter" to focus on more significant price action areas.
Monitor the liquidity grabs, breakouts, and FVGs for potential trade opportunities.
Use the bias and market structure analysis to align your trades with the prevailing market trend.
Refer to the backtesting win rates to evaluate the effectiveness of the zones in your trading.
Terms & Conditions:
By using this script, you agree to the following terms:
Educational Purposes Only: This script is provided for informational and educational purposes and does not constitute financial advice. Use at your own risk.
No Warranty: The script is provided "as-is" without any guarantees or warranties regarding its accuracy or completeness. The creator is not responsible for any losses incurred from the use of this tool.
Open-Source License: This script is open-source and may be modified or redistributed in accordance with the TradingView open-source license. Proper credit to the original creator, OmegaTools, must be maintained in any derivative works.
TechniTrend: Dynamic Pair CorrelationTechniTrend: Dynamic Pair Correlation
Description:
The TechniTrend: Dynamic Pair Correlation is a powerful and versatile indicator designed to track the correlation between two assets—whether cryptocurrencies, indices, or other financial instruments—across multiple timeframes. Understanding correlations can provide deep insights into market behavior, helping traders make informed decisions based on how two assets move in relation to each other.
Key Features:
Customizable Pair Selection: Compare any two assets (e.g., Bitcoin and DXY, Ethereum and SP500) to study how their price movements relate over time.
Multi-Timeframe Analysis: Simultaneously track correlations across different timeframes—standard, lower, and higher—providing a comprehensive view of market dynamics.
Dynamic Color Coding for Correlation Strength: Instantly spot correlations with visually intuitive colors—green for strong positive correlation, red for strong negative correlation, and yellow for neutral.
Heatmap Background: An easy-to-read background color heatmap highlights when correlations hit extreme levels, adding another layer of insight to your charts.
Real-Time Alerts: Get notified when correlations exceed your custom thresholds, signaling opportunities for potential breakouts, reversals, or divergences.
Divergence Detection: Automatically highlight moments when asset prices diverge, offering potential entry/exit points for smart trading decisions.
How to Use:
Asset Pair Comparison: Select two symbols to analyze their price correlation, such as BTC/USDT and DXY, or any other pair that fits your strategy.
Set Your Timeframes: Customize your standard, lower, and higher timeframes to monitor correlations at different intervals, allowing you to capture both short-term and long-term relationships.
Track Correlation Strength: Use dynamic color coding to quickly see how closely two assets are moving together. Strong correlations (positive or negative) could signal potential opportunities, while low correlations may indicate the absence of a strong trend.
Utilize Alerts: Receive real-time alerts when correlations cross your predefined thresholds, helping you take action when the market presents strong alignment or divergence.
Divergence Signals: Watch for divergence between the assets on multiple timeframes, which could indicate a potential trend reversal or a shift in market behavior.
Why It’s Essential:
Understanding the relationship between two assets can be a game changer for traders. Whether you're comparing Bitcoin to DXY, tracking the correlation between Ethereum and major indices, or evaluating two cryptocurrencies, this indicator gives you the tools to visualize and respond to market conditions with precision.
Perfect For:
Crypto traders looking to optimize strategies by monitoring the relationship between major cryptocurrencies and other assets.
Arbitrageurs seeking to capitalize on temporary pricing anomalies between correlated pairs.
Trend-followers aiming to catch large movements by detecting alignment or divergence between asset classes.
Portfolio managers monitoring how different asset classes impact each other to hedge or diversify investments.
By leveraging the TechniTrend: Dynamic Pair Correlation indicator, traders can gain deeper insights into market trends, correlations, and divergences, giving them an edge in fast-moving markets.
MTF SqzMom [tradeviZion]Credits:
John Carter for creating the TTM Squeeze and TTM Squeeze Pro.
Lazybear for the original interpretation of the TTM Squeeze: Squeeze Momentum Indicator.
Makit0 for evolving Lazybear's script by incorporating TTM Squeeze Pro upgrades – Squeeze PRO Arrows.
MTF SqzMom - Multi-Timeframe Squeeze & Momentum Tool
MTF SqzMom is a tool designed to help traders easily monitor squeeze and momentum signals across multiple timeframes in a simple, organized format. Built using Pine Script 5, it ensures that data remains consistent, even when switching between different time intervals on the chart.
Key Features:
Multi-Timeframe Monitoring: Track squeeze and momentum signals across various timeframes, all in one view. This includes key timeframes like 1-minute, 5-minute, hourly, and daily.
Dynamic Table Display: A color-coded table that automatically adjusts based on the selected timeframes, offering a clear view of market conditions.
Alerts for Key Market Events: Get notifications when a squeeze starts or fires across your chosen timeframes, so you can stay informed without needing to monitor the chart continuously.
Customizable Appearance: Tailor the look of the table by selecting colors for squeeze levels and momentum shifts, and choose the best position on your chart for easy access.
How It Works:
MTF SqzMom is based on the concept of the squeeze, which signals periods of lower volatility where price breakouts may occur. The tool tracks this by monitoring the contraction of Bollinger Bands within Keltner Channels. Along with this, it provides momentum analysis to help you gauge the potential direction of the market after a squeeze.
Squeeze Conditions: The script tracks four levels of squeeze conditions (no squeeze, low, mid, and high), each represented by a different color in the table.
Momentum Analysis: Momentum is visually represented by colors indicating four stages: up increasing, up decreasing, down increasing, and down decreasing. This color coding helps you quickly assess whether the market is gaining or losing momentum.
Using Alerts:
You can enable two types of alerts: when a squeeze starts (indicating consolidation) and when a squeeze fires (indicating a breakout). These alerts cover all timeframes you’ve selected, so you never miss important signals.
How to Set It Up:
1. Enable Alerts in Settings: Turn on "Alert for Squeeze Start" and "Alert for Squeeze Fire" in the settings.
2. Add Alerts to Your Chart:
Click the three dots next to the indicator name.
Select "Add alert on tradeviZion - MTF SqzMom."
3. Customize and Save: Adjust alert options, choose your notification type, and click "Create."
Why Use MTF SqzMom ?
Consistent Data: The tool ensures that squeeze and momentum data remain consistent, even when you switch between chart intervals.
Real-Time Alerts: Stay updated with alerts for squeeze conditions without needing to constantly watch the chart.
Simple to Use, Customizable to Fit: You can easily adjust the table’s look and choose the timeframes and colors that best suit your trading style.
Acknowledgment:
While this tool builds on the TTM Squeeze concept developed by John Carter of Simpler Trading, it offers added flexibility through multi-timeframe analysis, alerts, and customizability to make monitoring market conditions more accessible.
Digital Clock with Market Status and AlertsDigital Clock with Market Status and Alerts - 日本語解説は下記
Overview:
The Digital Clock with Market Status and Alerts indicator is designed to display the current time in various global time zones while also providing the status of major financial markets such as Tokyo, London, and New York. This indicator helps traders monitor the open and close times of different markets and alerts them when a market opens. Customizable options are provided for table positioning, background, text colors, and font size.
Key Features:
Real-Time Digital Clock: The indicator shows the current time in your selected time zone (Asia/Tokyo, America/New_York, Europe/London, Australia/Sydney). The time updates in real-time and includes hours, minutes, and seconds, providing a convenient and accurate way to monitor time across different trading sessions.
Global Market Status: Displays the open or closed status of major financial markets.
・Tokyo Market: Open from 9:00 AM to 3:00 PM (JST).
・London Market: Open from 16:00 to 24:00 during summer time and from 17:00 to 1:00 during winter time (JST).
・New York Market: Open from 21:00 to 5:00 during summer time and from 22:00 to 6:00 during winter time (JST).
Customizable Display:
・Background Color: The indicator allows you to set the background color for the clock display, while the leftmost empty cell can be independently customized with its own background color for table alignment.
・Clock and Market Status Colors: Separate color options are available for the clock text, market status during open, and market status during closed periods.
・Text Size: You can adjust the size of the text (small, normal, large) to fit your preferences.
・Table Position: You can position the digital clock and market status table in different locations on the chart: top left, top center, top right, bottom left, bottom center, and bottom right.
Alerts for Market Opening: The indicator will trigger alerts when a market (Tokyo, London, or New York) opens, notifying traders in real-time. This can help ensure that you don't miss any important market openings.
How to Use:
Setup:
Apply the Indicator: Add the Digital Clock with Market Status and Alerts indicator to your chart. Customize the time zone, text size, background colors, and table position based on your preferences.
Monitor Market Status: Watch the market status displayed for Tokyo, London, and New York to keep track of market openings and closings in real-time.
Receive Alerts: The indicator provides built-in alerts for market openings, helping you stay informed when a key market opens for trading.
Time Monitoring:
・Real-Time Clock: The current time is displayed with hours, minutes, and seconds for accurate tracking. The clock updates every second and reflects the selected time zone.
・Global Time Zones: Choose your desired time zone (Tokyo, New York, London, Sydney) to monitor the time most relevant to your trading strategy.
Market Status:
・Tokyo Market: The status will display "Tokyo OPEN" when the Tokyo market is active, and "Tokyo CLOSED" when it is outside of trading hours.
・London Market: Similarly, the indicator will show "London OPEN" or "London CLOSED" depending on whether the London market is currently active.
・New York Market: The New York market status follows the same structure, showing "NY OPEN" or "NY CLOSED."
Customization:
・Table Positioning: Easily move the table to the desired location on the chart to avoid overlap with other chart elements. The leftmost empty cell helps with alignment.
・Text and Background Color: Adjust the text and background colors to suit your personal preferences. You can also set independent colors for open and closed market statuses to easily distinguish between them.
Cautions and Disclaimer:
・Indicator Modifications: This indicator may be updated without prior notice, which could change or remove certain features.
・Trade Responsibility: This indicator is a tool to assist your trading, but responsibility for all trades remains with you. No guarantee of profit or success is implied, and losses can occur. Use it alongside your own analysis and strategy.
Digital Clock with Market Status and Alerts - 解説と使い方
概要:
Digital Clock with Market Status and Alerts インジケーターは、さまざまな世界のタイムゾーンで現在の時刻を表示し、東京、ロンドン、ニューヨークなどの主要な金融市場のステータスを提供します。このインジケーターにより、複数の市場のオープンおよびクローズ時間をリアルタイムで監視でき、市場がオープンする際にアラートを受け取ることができます。テーブルの位置、背景色、テキストカラー、フォントサイズなどのカスタマイズが可能です。
主な機能:
リアルタイムデジタル時計: 選択したタイムゾーン（東京、ニューヨーク、ロンドン、シドニー）の現在時刻を表示します。リアルタイムで更新され、時間、分、秒を正確に表示します。
世界の市場ステータス: 主要な金融市場のオープン/クローズ状況を表示します。
・東京市場: 午前9時～午後3時（日本時間）。
・ロンドン市場: 夏時間では16時～24時、冬時間では17時～1時（日本時間）。
・ニューヨーク市場: 夏時間では21時～5時、冬時間では22時～6時（日本時間）。
カスタマイズ可能な表示設定:
・背景色: 時計表示の背景色を設定できます。また、テーブルの左側に空白のセルを配置し、独立した背景色を設定することでテーブルの配置調整が可能です。
・時計と市場ステータスの色: 時計テキスト、オープン市場、クローズ市場の色を個別に設定できます。
・テキストサイズ: 小、標準、大から選択し、テキストサイズをカスタマイズ可能です。
・テーブル位置: デジタル時計と市場ステータスのテーブルをチャートのさまざまな場所（左上、中央上、右上、左下、中央下、右下）に配置できます。
市場オープン時のアラート: 市場（東京、ロンドン、ニューヨーク）がオープンするときにアラートを発し、リアルタイムで通知されます。これにより、重要な市場のオープン時間を逃さないようサポートします。
使い方:
セットアップ:
インジケーターを適用: チャートに「Digital Clock with Market Status and Alerts」インジケーターを追加し、タイムゾーン、テキストサイズ、背景色、テーブル位置を好みに応じてカスタマイズします。
市場ステータスを確認: 東京、ロンドン、ニューヨークの市場ステータスをリアルタイムで表示し、オープン/クローズ時間を把握できます。
アラートを受け取る: 市場オープン時のアラート機能により、重要な市場のオープンを見逃さないように通知が届きます。
時間管理:
・リアルタイム時計: 現在の時刻が秒単位で表示され、選択したタイムゾーンに基づいて正確に追跡できます。
・グローバルタイムゾーン: 東京、ニューヨーク、ロンドン、シドニーなど、トレードに関連するタイムゾーンを選択して監視できます。
市場ステータス:
・東京市場: 東京市場が開いていると「Tokyo OPEN」と表示され、閉じている場合は「Tokyo CLOSED」と表示されます。
・ロンドン市場: 同様に、「London OPEN」または「London CLOSED」が表示され、ロンドン市場のステータスを確認できます。
・ニューヨーク市場: ニューヨーク市場も「NY OPEN」または「NY CLOSED」で現在の状況が表示されます。
カスタマイズ:
・テーブル位置の調整: テーブルの位置を簡単に調整し、チャート上の他の要素と重ならないように配置できます。左側の空白セルで位置調整が可能です。
・テキストと背景色のカスタマイズ: テキストと背景の色を自分の好みに合わせて調整できます。また、オープン時とクローズ時の市場ステータスを区別するため、独立した色設定が可能です。
注意事項と免責事項:
・インジケーターの変更: このインジケーターは、予告なく変更や機能の削除が行われる場合があります。
・トレード責任: このインジケーターはトレードをサポートするツールであり、トレードに関する全責任はご自身にあります。利益を保証するものではなく、損失が発生する可能性があります。自分の分析や戦略と組み合わせて使用してください。
