OB Sweeps ReversalOB Sweeps Reversal is a high-precision market structure tool that identifies and dynamically tracks bullish and bearish order blocks — key zones where institutional participants are likely to be active. These zones act as support and resistance levels, adapting to market behavior in real time.
The script monitors price interaction with each OB and classifies its status as:
Unmitigated (price has not yet returned)
Mitigating (price is testing the zone)
Invalidated (zone has been broken)
Traders can use these zones directly as actionable support/resistance — or wait for additional confirmation via the system’s liquidity sweep detection and optional filters.
🔍 Key Features:
Automatically detects and plots bullish and bearish OBs
Tracks mitigation status and updates visuals accordingly
Detects liquidity sweeps of recent highs/lows
Optional filters:
• 200 EMA trend direction
• Momentum of current or previous candle
Plots stop-loss and take-profit lines using ATR-based logic
Clean entry labels with full contextual data
Built-in alert system with constant-string messages (automation ready)
📈 How to Use:
Load the script on any timeframe (15m–4H recommended)
Observe the live OB zones as they develop
Trade based on price interaction:
• Bounce off a bullish OB = potential long setup
• Rejection from a bearish OB = potential short
• Sweep + snapback into an OB = optional trap reversal entry
SL/TP levels are drawn automatically for reference
Use alerts to automate or monitor high-conviction setups
The order blocks themselves are valuable on their own — even without waiting for a signal. They can be used as dynamic support and resistance zones, offering excellent structure-based trading opportunities.
🧠 Ideal For:
Traders who follow price action and market structure
Those using support/resistance, OBs, or supply/demand
Intraday and swing traders looking for cleaner structure alignment
Users who prefer low-frequency, high-quality setups
⚠️ Note:
This tool does not produce frequent signals. It is designed for precision and discipline, with a focus on clarity and confluence. It complements — not replaces — a trader’s decision-making process.
This script is open-source and designed with integrity, precision, and trader usability in mind. No links, no upsells, no promotions — just a reliable system for structural market analysis.
成交量
Volume Divergence 11192It calculates a custom volume-weighted moving average using the pine_wma() function which takes into account whether each candle is bullish or bearish
It processes volume data through multiple layers of this custom moving average
It detects four types of divergences:
Regular Bullish Divergence: When price makes a lower low but volume makes a higher low (potential bullish reversal)
Hidden Bullish Divergence: When price makes a higher low but volume makes a lower low (potential bullish continuation)
Regular Bearish Divergence: When price makes a higher high but volume makes a lower high (potential bearish reversal)
Hidden Bearish Divergence: When price makes a lower high but volume makes a higher high (potential bearish continuation)
It visualizes these divergences on the chart with colored markers and labels
Session VolumeThis script tracks and displays 30-minute volume segments during the Regular Trading Hours (RTH) session. It allows traders to visually compare each time block’s volume today vs. the same block from the previous day, helping spot early signs of strength, weakness, or divergence.
Features:
Tracks 13 blocks from 9:30 AM to 4:15 PM ET.
Compares today's volume against historical volume from the same time block yesterday.
Highlights percentage changes per block.
Summary row totals show overall volume trend today vs. yesterday.
This tool is useful for discretionary traders, auction market theorists, and anyone who incorporates market-generated information into their decision-making.
Pump Detector - EMA 4H + Retest H1 (Valid 10x4H bars)📈 Pump Detector – EMA 12/21 on 4H + Retest on H1
This indicator is designed to detect sudden bullish moves ("pumps") on the 4-hour timeframe, and alert traders of potential retest entry points on the 1-hour timeframe.
🔍 Pump activation conditions (on 4H):
EMA 12 crosses above EMA 21
Current volume exceeds the 20-period SMA of volume (on 4H)
When both conditions are met, a pump alert is triggered and a time window opens.
📉 Retest detection logic (on H1):
For the next 10 bars on the 4H chart (~40 hours), the indicator monitors price behavior on the 1H timeframe
If the LOW of any H1 candle touches or drops below EMA 12 or 21 (on H1), a second alert is triggered
✅ Key Features:
Draws EMA 12/21 from the 4H timeframe directly on the chart
Enforces 4H and H1 timeframes, regardless of the chart the script is applied to
One-time detection per pump window: once the 10-bar window expires, the retest alert is disabled until a new pump is detected
Ideal for capturing momentum breakouts followed by technical pullbacks
⚠️ Recommended for:
Traders looking for scalping or swing trading setups on crypto, forex, or stocks. Helps identify post-breakout entry opportunities using a structured and disciplined approach.
Volume EfficiencyThis indicator displays each candle's volume in an enhanced visual form, combining the amount of volume with the efficiency of the price movement.
Each volume bar changes its color intensity based on:
Higher efficiency (large price movement with low volume) → stronger color.
Lower efficiency (high volume with little price movement) → weaker color.
Additionally:
Green: Bullish candles (close > open).
Red: Bearish candles (close < open).
The color reflects not only the volume but also how "easily" the price moved.
The efficiency calculation is based on the actual body movement of the candle (abs(close - open)) divided by the total volume, dynamically adjusted to the maximum efficiency over the last N candles (configurable).
Interpretation:
Intensely green or red volume bars: clean and efficient movements (low resistance).
Pale bars: market absorption or indecision (high volume but little price movement).
Configurable parameter:
Efficiency period: number of candles used to normalise the maximum efficiency.
Money Flow Index + VWAP Trend FilterThis indicator combines the volume-weighted momentum analysis of the Money Flow Index (MFI) with the trend-filtering capabilities of the Volume Weighted Average Price (VWAP) to generate reliable buy and sell signals. By requiring MFI overbought/oversold conditions to align with the trend direction relative to VWAP, this indicator reduces false signals, making it ideal for trading on timeframes like 5-minute to 4-hour charts.
How It Works
The indicator uses two technical components to produce signals:
Money Flow Index (MFI) for Momentum Extremes:
The MFI, calculated over a default 14-period length, measures buying and selling pressure using price and volume data. A buy signal is triggered when MFI crosses above the oversold level (default: 20), indicating potential buying pressure, while a sell signal occurs when MFI crosses below the overbought level (default: 80), suggesting selling pressure.
Volume Weighted Average Price (VWAP) for Trend Direction:
The VWAP calculates the average price of an asset, weighted by volume, resetting at the start of each trading session (e.g., daily for stocks). It acts as a dynamic support/resistance level. A bullish trend is confirmed when the price is above the VWAP, and a bearish trend when the price is below the VWAP. This ensures MFI signals are filtered to align with the broader trend direction, plotted as a purple line on the chart.
Signal Generation
Signals are generated using the previous bar’s values to prevent repainting:
Buy Signal: The MFI crosses above the oversold level, and the price is above the VWAP (bullish trend). Displayed as a green upward triangle below the bar.
Sell Signal: The MFI crosses below the overbought level, and the price is below the VWAP (bearish trend). Displayed as a red downward triangle above the bar.
Multi-Layer Volume Profile [BigBeluga]A powerful multi-resolution volume analysis tool that stacks multiple profiles of historical trading activity to reveal true market structure.
This indicator breaks down total and delta volume distribution across time at four adjustable depths — enabling traders to spot major POCs, volume shelves, and zones of price acceptance or rejection with unmatched clarity.
🔵 KEY FEATURES
Multi-Layer Volume Profiles:
Up to 4 separate volume profiles are stacked on the chart:
- Profile 1: Full period
- Profile 2: Half-length
- Profile 3: Quarter-length
- Profile 4: One-eighth-length
This layering helps traders assess confluence across different time horizons.
Custom Bin Resolution:
Each profile uses a customizable number of bins to control visual precision.
More bins = higher granularity, fewer bins = smoother profile.
Precise POC Highlighting:
The price level with the maximum traded volume in each profile is highlighted with a thick blue POC line.
This key level shows the most accepted price for each period.
Total and Delta Volume Labels:
- Total Volume: Displays cumulative volume over the profile period at the top of the profile box.
- Delta Volume: The difference between bullish and bearish volume is labeled at the base, showing directional pressure.
Positive delta = buyer dominance, negative delta = seller dominance.
Range Levels:
Each profile includes horizontal reference lines showing its high, low, bounds.
These edges often align with price reaction zones and become future resistance/support.
🔵 HOW IT WORKS
For each active profile, the indicator:
- Collects price range (highs/lows) across the selected `length`
- Divides this range into equal bins
- Assigns volume into bins based on candle close location
- Aggregates volume per bin to form the profile (polylines)
Separately tracks:
- Total volume (sum of all candles in range)
- Delta volume (sum of candle volumes: positive for bullish, negative for bearish closes)
Highlights the bin with maximum volume (POC)
and marks it with a thick blue line.
Adds auxiliary lines for high/low of each profile box
and total/delta volume tags with tooltips.
🔵 USAGE
Spot Acceptance Zones:
Thick, flat areas on the profile show where price stayed longest — ideal for building positions.
Identify Rejection Zones:
Thin volume areas signal price rejection and are often used for stop placement or entries.
Delta Confirmation:
Use strong positive/negative delta readings as directional bias confirmation for breakout trades.
Confluence Detection:
Watch for overlapping POCs between layers to identify extremely strong support/resistance zones.
🔵 CONCLUSION
Multi-Layer Volume Profile equips traders with a deeply layered market structure view.
Whether you're scalping intraday levels or analyzing macro support zones, the ability to stack volume perspectives, visualize directional delta, and anchor POCs provides an edge in anticipating market moves.
Use this tool to validate entries, confirm structure, and make more informed, volume-aware trading decisions.
Aggregated VolumeThis is the volume for crypto instruments. The volume in crypto instruments is different from the volume in stock or forex instruments. Because in crypto instrument at the same coin, for example bitcoin, there are differences in volume appearing on chart in Tradingview between exchanges. For example the exchanges on Binance and OKX, and between the spot market and the future or perpetual market, even though the transaction is in the same coin, bitcoin, there are differences in volume appearing on chart.
For those of us who trade relying on base volume as the main analysis in trading or investing, it is important to see the differences in volume between exchanges on Bitget, Binance, Bybit, and others, that Tradingview does not display the total transaction volume on the chart, but only the transaction volume per exchange, that does not describe the reality of the transaction volume. Therefore we need an indicator that totals volume on all exchanges, both spot and future / perpetual markets.
This indicator is called Aggregated Volume, which is the total volume of the exchanges: Binance, Bybit, OKX, Coinbase, Bitget, Kukoin, Kraken, Cryptocom, and Mexc. We chose these exchanges because they are the top 9 exchanges in the world that dominate the crypto market.
Therefore, this indicator appearing the total volume of transactions made on the 9 exchanges, both spot and perpetual, and will be summed into one volume indicator called " Aggregated Volume ".
Volume MAs Supertrend | Lyro RS📊 Volume MAs Supertrend | Lyro RS is an advanced trading tool that combines volume-adjusted moving averages with a dynamic Supertrend system. This indicator provides a robust framework for identifying market trends and entry/exit points.
✨ Key Features :
📈 Volume-Weighted Moving Averages (VWMA): Integrates price and volume data to provide a more accurate moving average, allowing for better trend analysis.
🔧 Multiple MA Types: Choose from SMA, EMA, WMA, VWMA, DEMA, TEMA, RMA, HMA, ALMA to suit your preferred trading strategy.
📊 Dual-Multiplier Supertrend System: Uses ATR to dynamically calculate upper and lower bands for long and short trends, with distinct multipliers for each.
🎨 Customizable Color Schemes: Choose from Classic, Mystic, Accented, and Royal color palettes or customize your own colors for bullish and bearish trends.
🔍 Visual Enhancements: Color-coded Supertrend lines, candlesticks, and bars for quick trend identification.
⏰ Alert System: Alerts for long and short signals based on trend changes.
🔧 How It Works :
The Supertrend line is calculated using ATR over a user-defined period, with separate multipliers for long and short positions.
📈 A bullish trend is signaled when the price crosses above the upper band, and a bearish trend is signaled when the price crosses below the lower band.
🎨 The Supertrend line changes color to reflect trend direction, with candlesticks and bars matching the trend's color for visual clarity.
⚙️ Customization Options :
🛠️ Moving Average Settings: Select your preferred moving average type (SMA, EMA, VWMA, etc.) and adjust the length for smoother or more responsive trend signals.
📐 Supertrend Parameters: Define the ATR period and adjust multipliers to fine-tune sensitivity for long and short signals.
🎨 Color Configuration: Choose from predefined color palettes or create your own custom scheme for trend signals.
📈 Use Cases :
✅ Confirm market trends before entering trades.
🚪 Identify potential entry/exit points as trend directions shift.
👀 Visually analyze market conditions with color-coded candlesticks and bars.
⚠️ Disclaimer :
This indicator should not be used as a standalone tool for making trading decisions. Always combine with other forms of analysis and risk management practices.
OBV by readCrypto
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OBV is used as a leading indicator to predict stock price movements by measuring changes in trading volume.
Reflecting the cumulative value of trading volume,
- When the price rises, if the trading volume increases, OBV rises,
- When the price falls, if the trading volume decreases, OBV falls.
Therefore, the movement of the OBV indicator must be checked along with the price movement, and it has the disadvantage of being unreliable for coins (tokens) with low trading volume.
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(First interpretation method)
By adding a signal line for the OBV indicator,
- If the OBV indicator moves above the signal line, it is likely to show an upward trend,
- If the OBV indicator moves beyond the signal line, it is likely to show a downward trend.
This interpretation method is difficult to use in actual trading strategies because the OBV indicator often moves up and down repeatedly based on the signal line.
Therefore, it is recommended to use this interpretation method as reference when analyzing charts.
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(Second interpretation method)
Draw support and resistance lines based on the high and low points of the OBV indicator
- If the OBV indicator breaks through the previous high point, it is likely to show an upward trend,
- If the OBV indicator breaks through the previous low point, it is likely to show a downward trend.
This interpretation method is a bit more reliable than the first interpretation method, but it has the disadvantage of having to consider support and resistance lines separately based on the high and low points.
-
To compensate for this, a High line for the high point and a Low line for the low point were added.
- If the OBV indicator shows an upward breakout of each line (Low, HL2, High), the price is likely to rise,
- If the OBV indicator shows a downward breakout of each line (Low, HL2, High), the price is likely to fall.
-
Also, the Low and High lines can be interpreted like Bollinger Bands.
That is, if the Low and High lines show a contraction, the price is likely to move sideways, and if they show an expansion, the price is likely to show a trend.
Therefore, if the High line breaks upward in a contracted state,
- It is likely to show an upward trend,
- If the Low line breaks downward, it is likely to show a downward trend.
In an expanded state, you should focus on finding the point to realize profits rather than conducting new transactions.
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It is not easy to interpret the change in actual transaction volume and use it to create a trading strategy.
In particular, it is more difficult in the coin market where multiple exchanges are linked to show movements for one coin (token).
Therefore, the coin market is actively conducting transactions without referring to trading volume at all by following trends.
However, I think that if you interpret the change in trading volume and use it to find a trading point, it can help you find a more accurate trading point.
In that sense, I think that an indicator that adds the High and Low lines of the OBV indicator can be used as meaningful reference material.
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OBV는 거래량의 변화를 측정하여 주가 움직임을 예측하는 선행 지표로 활용됩니다.
거래량의 누적값을 반영하여
- 가격이 상승할 때 거래량이 증가면 OBV가 상승하고,
- 가격이 하락할 때 거래량이 줄면 OBV가 하락하게 됩니다.
따라서, 가격의 움직임과 함께 OBV 지표의 움직임을 확인하여야 하고 거래량이 적은 코인(토큰)에서는 신뢰성이 떨어지는 단점도 가지고 있습니다.
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(첫번째 해석 방법)
OBV 지표에 대한 Signal선을 추가하여
- OBV 지표가 Signal선 이상에서 이동하게 되면 상승세를 보일 가능성이 높고,
- OBV 지표가 Signal선 이항에서 이동하게 되면 하락세를 보일 가능성이 높습니다.
이러한 해석 방법은 Signal선을 기준으로 OBV 지표가 반복적으로 위아래로 움직임을 보이는 경우가 많기 때문에 실제 거래 전략에 활용되기가 어려운 면이 있습니다.
따라서, 이러한 해설 방법은 차트 분석을 할 때 참고 자료로 활용하는 것이 좋습니다.
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(두번째 해석 방법)
OBV 지표의 고점과 저점을 기준하여 지지와 저항선을 그려
- OBV 지표가 이전 고점을 상향 돌파하면 상승세를 보일 가능성이 높고,
- OBV 지표가 이전 저점을 하향 돌파하면 하락세를 보일 가능성이 높습니다.
이러한 해석 방법은 첫번째 해석 방법보다 좀 더 신뢰성이 있는 방법이지만, 고점과 저점을 기준으로 지지와 저항선을 나누어 생각해야 하는 단점이 있습니다.
-
이를 보완하고자 고점에 대한 High선과 저점에 대한 Low선을 추가하였습니다.
- OBV 지표가 각 선(Low, HL2, High)을 상향 돌파하는 모습을 보이면 가격이 상승할 가능성이 높고,
- OBV 지표가 각 선(Low, HL2, High)을 하향 돌파하는 모습을 보이면 가격이 하락할 가능성이 높습니다.
-
또한, Low선과 High선을 볼린저밴드와 같이 해석할 수 있습니다.
즉, Low선과 High선이 수축하는 모습을 보이면 가격은 횡보할 가능성이 높고, 확장하는 모습을 보이면 가격은 추세를 나타낼 가능성이 높습니다.
따라서, 수축한 상태에서
- High선을 상향 돌파하게 되면 상승세를 나타낼 가능성이 높고,
- Low선을 하향 돌파하게 되면 하락세를 나타낼 가능성이 높습니다.
확장된 상태에서는 신규 거래를 진행하기 보다 수익 실현할 시점을 찾는데 집중해야 합니다.
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실제 거래량의 변화를 해석하여 거래 전략을 만드는데 활용하기가 쉽지 않습니다.
특히, 하나의 코인(토큰)에 대해서 여러 개의 거래소가 연동되어 움직임을 나타내는 코인 시장에서는 더욱 어려움이 있습니다.
따라서, 코인 시장은 추세 추종으로 아예 거래량을 참고하지 않고 거래를 진행하는 방법이 활성화되어 있기도 합니다.
하지만, 거래량의 변화를 해석하여 거래 시점을 찾는데 활용한다면 보다 정확한 거래 시점을 찾는데 도움을 받을 수 있다고 생각합니다.
그러한 의미에서 OBV 지표의 High선과 Low선을 추가한 지표가 의미 있는 참고 자료로 활용될 수 있다고 생각합니다.
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WMB Oscillator | [DeV]The "WMB Oscillator" indicator is a multi-factor momentum and volatility indicator designed to give traders a dynamic edge in identifying trend strength, market pressure, and potential turning points. By combining three powerful tools—Williams %R, Money Flow Index, and Bollinger Band Width—this oscillator presents a single histogram that visually represents the interplay between overbought/oversold levels, volume-weighted pressure, and volatility expansion. Use it to anticipate trend shifts, confirm entries, or avoid traps in ranging markets.
Williams %R:
Williams %R measures the closing price's position relative to the recent high-low range over a defined period. It outputs a value between 0 and -100, where values closer to -100 suggest oversold conditions, and those near 0 indicate overbought. In this oscillator, the raw %R is normalized between your defined overbought and oversold thresholds, allowing it to integrate seamlessly into the combined signal without distortion from price scale differences.
Money Flow Index (MFI):
The MFI gauges buying and selling pressure using both price and volume. It calculates the typical price for each bar, multiplies it by volume, and compares positive versus negative money flows over time. Normalized between your custom thresholds, the MFI component helps highlight when a move is driven by real conviction (volume) rather than weak price fluctuation, enhancing the signal’s reliability.
Bollinger Band Width (BB Width):
BB Width quantifies volatility by measuring the percentage difference between the upper and lower Bollinger Bands relative to their moving average. When volatility contracts, BB Width narrows—often preceding explosive moves. When it expands, volatility is peaking. Here, the raw BB Width is detrended using its moving average and scaled with a user-defined multiplier to reflect its deviation strength.
Why Combine These:
Each of these three metrics captures a unique dimension of market behavior: %R tracks momentum in price extremes, MFI confirms the move’s strength through volume, and BB Width anticipates volatility surges. Combined, they form a balanced oscillator that reacts fluidly to market changes while filtering out noise. The result is a nuanced, multi-angle view of the market's internal dynamics, enabling smarter, more confident trading decisions.
Order Block Matrix [Alpha Extract]The Order Block Matrix indicator identifies and visualizes key supply and demand zones on your chart, helping traders recognize potential reversal points and high-probability trading setups.
This tool helps traders:
Visualize key order blocks with volume profile histograms showing liquidity distribution.
Identify high-volume price levels where institutional activity occurs.
rank historical order blocks and analyze their strength based on volume.
Receive alerts for potential trading opportunities based on price-block interactions.
🔶 CALCULATION
The indicator processes chart data to identify and analyze order blocks:
Order Block Detection
Inputs:
Price action patterns (consolidation areas followed by breakouts).
Volume data from current and lower timeframes.
User-defined lookback periods and thresholds.
Detection Logic:
Identifies consolidation areas using a dynamic range comparison.
Confirms breakout patterns with percentage threshold validation.
Maps volume distribution across price levels within each order block.
🔶Volume Analysis
Volume Profiling:
Divides each order block into configurable grid segments.
Maps volume distribution across price segments within blocks.
Highlights zones with highest volume concentration.
Strength Assessment:
Calculates total block volume and relative strength metrics.
Compares block volume to historical averages.
Determines probability of reversal based on volume patterns.
isConsolidation(len) =>
high_range = ta.highest(high, len) - ta.lowest(high, len)
low_range = ta.highest(low, len) - ta.lowest(low, len)
avg_range = (high_range + low_range) / 2
current_range = high - low
current_range <= avg_range * (1 + obThreshold)
🔶 DETAILS
Visual Features
Volume Profile Histograms:
Color-coded bars showing volume concentration within order blocks.
Gradient coloring based on relative volume (high volume = brighter colors).
Bull blocks (green/teal) and bear blocks (red) with varying opacity.
Block Visualization:
Dynamic box sizing based on volume concentration.
Optional block borders and background fills.
Volume labels showing total block volume.
Screener Table:
Real-time analysis of order block metrics.
Shows block direction, proximity, retest count, and volume metrics.
Color-coded for quick reference.
Interpretation
High Volume Areas: Zones with institutional interest and potential reversal points.
Block Direction: Bullish blocks typically support price, bearish blocks typically resist price.
Retests: Multiple tests of an order block may strengthen or weaken its influence.
Block Age: Newer blocks often have stronger influence than older ones.
Volume Concentration: Brightest segments within blocks represent the highest volume areas.
🔶 EXAMPLES
The indicator helps identify key trading opportunities:
Bullish Order Blocks
Support Zones: Identify strong support levels where price is likely to bounce.
Breakout Confirmation: Validate breakouts with volume analysis to avoid false moves.
Retest Strategies: Enter trades when price retests a bullish order block with high volume.
Bearish Order Blocks
Resistance Zones: Identify strong resistance levels where price is likely to reverse.
Distribution Areas: Detect zones where smart money is distributing to retail.
Short Opportunities: Find optimal short entry points at high-volume bearish blocks.
Combined Strategies
Order Block Stacking: Multiple aligned blocks create stronger support/resistance zones.
Block Mitigation: When price breaks through a block, it often indicates a strong trend continuation.
Volume Profile Applications: Higher volume segments provide more precise entry and exit points.
🔶 SETTINGS
Customization Options
Order Block Detection:
Consolidation Lookback: Adjust the period for consolidation detection.
Breakout Threshold: Set minimum percentage for breakout confirmation.
Historical Lookback Limit: Control how far back to scan for historical order blocks.
Maximum Order Blocks: Limit the number of visible blocks on the chart.
Visual Style:
Grid Segments: Adjust the number of volume profile segments.
Extend Blocks to Right: Enable/disable extending blocks to current price.
Show Block Borders: Toggle border visibility.
Border Width: Adjust thickness of block borders.
Show Volume Text: Enable/disable volume labels.
Volume Text Position: Control placement of volume labels.
Color Settings:
Bullish High/Low Volume Colors: Customize appearance of bullish blocks.
Bearish High/Low Volume Colors: Customize appearance of bearish blocks.
Border Color: Set color for block outlines.
Background Fill: Adjust color and transparency of block backgrounds.
Volume Text Color: Customize label appearance.
Screener Table:
Show Screener Table: Toggle table visibility.
Table Position: Select positioning on the chart.
Table Size: Adjust display size.
The Order Block Matrix indicator provides traders with powerful insights into market structure, helping to identify key levels where smart money is active and where high-probability trading opportunities may exist.
Linear Regression Volume | Lyro RSLinear Regression Volume | Lyro RS
⚠️Disclaimer⚠️
Always combine this indicator with other forms of analysis and risk management. Please do your own research before making any trading decisions.
The LR Volume | 𝓛𝔂𝓻𝓸 𝓡𝓢 indicator blends linear regression with volume-adjusted moving average s to dynamically outline price equilibrium and trend intensity. By integrating volume into its regression model, it highlights meaningful price movement relative to trading activity.
📌 How It Works:
Volume-Weighted Regression Baseline
Price is filtered through one of four volume-adjusted moving averages (SMA, RMA, HMA, ALMA) before being passed through a linear regression model, forming a dynamic fair value line.
Deviation Bands
The indicator plots 1x, 2x, and 3x standard deviation zones above and below the baseline, helping identify potential extremes, volatility spikes, and mean reversion areas.
Slope-Based Color Logic
The baseline and fill areas are dynamically colored:
- 🟢 Green for positive slope (uptrend)
- 🔴 Red for negative slope (downtrend)
- ⚪ Gray for neutral movement
⚙️ Inputs & Options:
Regression Length – Controls how many bars are used in the moving average and regression calculation.
Deviation Multiplier – Adjusts the width of the bands surrounding the regression baseline.
MA Type – Choose from 4 types:
SMA (Simple Moving Average)
RMA (Relative Moving Average)
HMA (Hull Moving Average)
ALMA (Arnaud Legoux Moving Average)
Band Colors – Customizable upper/lower band colors to match your visual style.
🔔 Alerts:
Long Signal – Triggers when the regression slope turns positive.
Short Signal – Triggers when the regression slope turns negative.
SwingTrade VWAP Strategy[TiamatCrypto]V1.1This Pine Script® code creates a trading strategy called "SwingTrade VWAP Strategy V1.1." This strategy incorporates various trading tools, such as VWAP (Volume Weighted Average Price), ADX (Average Directional Index), and volume signals. Below is an explanation of the components and logic within the script:
### Overview of Features
- **VWAP:** A volume-weighted moving average that assesses price trends relative to the VWAP level.
- **ADX:** A trend strength indicator that helps confirm the strength of bullish or bearish trends.
- **Volume Analysis:** Leverages volume data to gauge momentum and identify volume-weighted buy/sell conditions.
- **Dynamic Entry/Exit Signals:** Combines the above indicators to produce actionable buy/sell or exit signals.
- **Customizable Inputs:** Inputs for tuning parameters like VWAP period, ADX thresholds, and volume sensitivity.
---
### **Code Breakdown**
#### **Input Parameters**
The script begins by defining several user-configurable variables under groups. These include indicators' on/off switches (`showVWAP`, `enableADX`, `enableVolume`) and input parameters for VWAP, ADX thresholds, and volume sensitivity:
- **VWAP Period and Threshold:** Controls sensitivity for VWAP signal generation.
- **ADX Settings:** Allows users to configure the ADX period and strength threshold.
- **Volume Ratio:** Detects bullish/bearish conditions based on relative volume patterns.
---
#### **VWAP Calculation**
The script calculates VWAP using the formula:
\
Where `P` is the typical price (`(high + low + close)/3`) and `V` is the volume.
- It resets cumulative values (`sumPV` and `sumV`) at the start of each day.
- Delta percentage (`deltaPercent`) is calculated as the percentage difference between the close price and the VWAP.
---
#### **Indicators and Signals**
1. **VWAP Trend Signals:**
- Identifies bullish/bearish conditions based on price movement (`aboveVWAP`, `belowVWAP`) and whether the price is crossing the VWAP level (`crossingUp`, `crossingDown`).
- Also detects rising/falling delta changes based on the VWAP threshold.
2. **ADX Calculation:**
- Calculates the directional movement (`PlusDM`, `MinusDM`) and smoothed values for `PlusDI`, `MinusDI`, and `ADX`.
- Confirms strong bullish/bearish trends when ADX crosses the defined threshold.
3. **Volume-Based Signals:**
- Evaluates the ratio of bullish volume (when `close > VWAP`) to bearish volume (when `close < VWAP`) over a specified lookback period.
---
#### **Trade Signals**
The buy and sell signals are determined by combining conditions from the VWAP, ADX, and volume signals:
- **Buy Signal:** Triggered when price upward crossover VWAP, delta rises above the threshold, ADX indicates a strong bullish trend, and volume confirms bullish momentum.
- **Sell Signal:** Triggered under inverse conditions.
- Additionally, exit conditions (`exitLong` and `exitShort`) are based on VWAP crossovers combined with the reversal of delta values.
---
#### **Plotting and Display**
The strategy plots VWAP on the chart and adds signal markers for:
- **Buy/Long Entry:** Green triangle below bars.
- **Sell/Short Entry:** Red triangle above bars.
- **Exit Signals:** Lime or orange "X" shapes for exits from long/short positions.
- Additionally, optional text labels are displayed to indicate the type of signal.
---
#### **Trading Logic**
The script's trading logic executes as follows:
- **Entries:**
- Executes long trades when the `buySignal` condition is true.
- Executes short trades when the `sellSignal` condition is true.
- **Exits:**
- Closes long positions upon `exitLong` conditions.
- Closes short positions upon `exitShort` conditions.
- The strategy calculates profits and visualizes the trade entry, exit, and running profit within the chart.
---
#### **Alerts**
Alerts are set up to notify traders via custom signals for buy and sell trades.
---
### **Use Case**
This script is suitable for day traders, swing traders, or algorithmic traders who rely on confluence signals from VWAP, ADX, and volume momentum. Its modular structure (e.g., the ability to enable/disable specific indicators) makes it highly customizable for various trading styles and financial instruments.
#### **Customizability**
- Adjust VWAP, ADX, and volume sensitivity levels to fit unique market conditions or asset classes.
- Turn off specific criteria to focus only on VWAP or ADX signals if desired.
#### **Caution**
As with all trading strategies, this script should be used for backtesting and analysis before live implementation. It's essential to validate its performance on historical data while considering factors like slippage and transaction costs.
ADX and DI - Trader FelipeADX and DI - Trader Felipe
This indicator combines the Average Directional Index (ADX) and the Directional Indicators (DI+ and DI-) to help traders assess market trends and their strength. It is designed to provide a clear view of whether the market is in a trending phase (either bullish or bearish) and helps identify potential entry and exit points.
What is ADX and DI?
DI+ (Green Line):
DI+ measures the strength of upward (bullish) price movements. When DI+ is above DI-, it signals that the market is experiencing upward momentum.
DI- (Red Line):
DI- measures the strength of downward (bearish) price movements. When DI- is above DI+, it suggests that the market is in a bearish phase, with downward momentum.
ADX (Blue Line):
ADX quantifies the strength of the trend, irrespective of whether it is bullish or bearish. The higher the ADX, the stronger the trend:
ADX > 20: Indicates a trending market (either up or down).
ADX < 20: Indicates a weak or sideways market with no clear trend.
Threshold Line (Gray Line):
This horizontal line, typically set at 20, represents the threshold for identifying whether the market is trending or not. If ADX is above 20, the market is considered to be in a trend. If ADX is below 20, it suggests that the market is not trending and is likely in a consolidation phase.
Summary of How to Use the Indicator:
Trend Confirmation: Use ADX > 20 to confirm a trending market. If ADX is below 20, avoid trading.
Long Entry: Enter a long position when DI+ > DI- and ADX > 20.
Short Entry: Enter a short position when DI- > DI+ and ADX > 20.
Avoid Sideways Markets: Do not trade when ADX is below 20. Look for other strategies for consolidation phases.
Exit Strategy: Exit the trade if ADX starts to decline or if the DI lines cross in the opposite direction.
Combine with Other Indicators: Use additional indicators like RSI, moving averages, or support/resistance to filter and confirm signals.
Hidden Gap`s VSA Volume Auto-TimeframeHidden Gap's VSA Volume with Auto-Timeframe Adaptation
Enhanced Version of Classic Volume Spread Analysis Indicator
Description:
This evolved version of the original "Hidden Gap's VSA Volume" indicator introduces intelligent timeframe adaptation while preserving its core Volume Spread Analysis (VSA) logic. The key enhancement automatically synchronizes volume calculations with your chart's current timeframe, eliminating manual resolution adjustments.
New Features:
✅ Auto-Timeframe Detection
Dynamically adjusts to any chart timeframe (1M/5M/1H/4H/D/W/M)
✅ Smart Resolution Switching
Seamlessly works across multiple timeframes without parameter changes
✅ Manual Override Option
Retains custom resolution input for multi-timeframe analysis (e.g., view weekly volume on daily charts)
✅ Modernized Engine
Upgraded to Pine Script v6 for optimal TradingView performance
Core Functionality Preserved:
• Multi-layer volume analysis using 40/20/2-period comparisons
• Color-coded histogram detecting:
Black: 40-period high volume
Gray: 20-period low volume
Purple: 2-period volume contraction
Blue/Red: Immediate volume changes
• Integrated 20-period SMA reference line
Usage Scenarios:
Intraday Trading: Auto-adjusts from 1-minute to 4-hour charts
Multi-Timeframe Analysis: Compare current volume against higher timeframe patterns
Swing Trading: Maintain consistent analysis across D/W/M timeframes
Bull vs Bear Volume on Price ChartThis script overlays estimated bullish and bearish volume directly on the price chart, making it easy to spot buying vs. selling pressure without switching to a separate volume pane.
🔍 Features:
📈 Bullish volume markers appear as green triangles below the candle.
📉 Bearish volume markers appear as red triangles above the candle.
🔄 Optional smoothing to reduce noise using simple moving average (SMA).
⚠️ Volume spike highlights: Bullish spikes turn lime green, bearish spikes turn bright red.
🔢 Toggle labels to see estimated volume values above/below each candle.
🔄 Works on all timeframes, from intraday to weekly/monthly charts.
📐 Methodology:
Bullish and bearish volume are estimated using the candle's range:
More bullish volume when the close is near the high.
More bearish volume when the close is near the low.
This is a visual proxy, not true order flow data.
Bull vs Bear Volume (Enhanced)Bull vs Bear Volume (Enhanced) is a custom volume histogram that separates and visualizes estimated buying vs. selling volume within each candle. This allows traders to better understand market sentiment and detect imbalances in demand and supply.
🔍 What It Does:
Plots bullish volume (green) above the x-axis and bearish volume (red) below.
Estimates bull/bear volume by analyzing the close location within the candle's range.
Highlights volume spikes with lime (bullish) or maroon (bearish) when volume exceeds a user-defined threshold.
Includes an optional total volume line for added context.
Supports smoothing via simple moving average (SMA) to reduce noise.
🛠️ Inputs:
Toggle smoothing and set its length.
Enable/disable threshold spike highlighting.
Show/hide the total volume overlay.
Adjust the threshold multiplier for spike detection.
⚠️ Important:
This script uses a proxy method based on candle structure to estimate volume split — it does not use real-time order flow or trade direction data.
Works best on liquid assets with consistent volume.
Fusion Sniper X [ Crypto Strategy]📌 Fusion Sniper X — Description for TradingView
Overview:
Fusion Sniper X is a purpose-built algorithmic trading strategy designed for cryptocurrency markets, especially effective on the 1-hour chart. It combines advanced trend analysis, momentum filtering, volatility confirmation, and dynamic trade management to deliver a fast-reacting, high-precision trading system. This script is not a basic mashup of indicators, but a fully integrated strategy with logical synergy between components, internal equity management, and visual trade analytics via a customizable dashboard.
🔍 How It Works
🔸 Trend Detection – McGinley Dynamic + Gradient Slope
McGinley Dynamic is used as the baseline to reflect adaptive price action more responsively than standard moving averages.
A custom gradient filter, calculated using the slope of the McGinley line normalized by ATR, determines if the market is trending up or down.
trendUp when slope > 0
trendDown when slope < 0
🔸 Momentum Confirmation – ZLEMA-Smoothed CCI
CCI (Commodity Channel Index) is used to detect momentum strength and direction.
It is further smoothed with ZLEMA (Zero Lag EMA) to reduce noise while keeping lag minimal.
Entry is confirmed when:
CCI > 0 (Bullish momentum)
CCI < 0 (Bearish momentum)
🔸 Volume Confirmation – Relative Volume Spike Filter
Uses a 20-period EMA of volume to calculate the expected average.
Trades are only triggered if real-time volume exceeds this average by a user-defined multiplier (default: 1.5x), filtering out low-conviction signals.
🔸 Trap Detection – Wick-to-Body Reversal Filter
Filters out potential trap candles using wick-to-body ratio and body size compared to ATR.
Avoids entering on manipulative price spikes where:
Long traps show large lower wicks.
Short traps show large upper wicks.
🔸 Entry Conditions
A trade is only allowed when:
Within selected date range
Cooldown between trades is respected
Daily drawdown guard is not triggered
All of the following align:
Trend direction (McGinley slope)
Momentum confirmation (CCI ZLEMA)
Volume spike active
No trap candle detected
🎯 Trade Management Logic
✅ Take Profit (TP1/TP2 System)
TP1: 50% of the position is closed at a predefined % gain (default 2%).
TP2: Remaining 100% is closed at a higher profit level (default 4%).
🛑 Stop Loss
A fixed 2% stop loss is enforced per position using strategy.exit(..., stop=...) logic.
Stop loss is active for both TP2 and primary entries and updates the dashboard if triggered.
❄️ Cooldown & Equity Protection
A user-defined cooldown period (in bars) prevents overtrading.
A daily equity loss guard blocks new trades if portfolio drawdown exceeds a % threshold (default: 2.5%).
📊 Real-Time Dashboard (On-Chart Table)
Fusion Sniper X features a futuristic, color-coded dashboard with theme controls, showing:
Current position and entry price
Real-time profit/loss (%)
TP1, TP2, and SL status
Trend and momentum direction
Volume spike state and trap candle alerts
Trade statistics: total, win/loss, drawdown
Symbol and timeframe display
Themes include: Neon, Cyber, Monochrome, and Dark Techno.
📈 Visuals
McGinley baseline is plotted in orange for trend bias.
Bar colors reflect active positions (green for long, red for short).
Stop loss line plotted in red when active.
Background shading highlights active volume spikes.
✅ Why It’s Not Just a Mashup
Fusion Sniper X is an original system architecture built on:
Custom logic (gradient-based trend slope, wick trap rejection)
Synergistic indicator stacking (ZLEMA-smoothed momentum, ATR-based slope)
Position and equity tracking (not just signal-based plotting)
Intelligent risk control with take-profits, stop losses, cooldown, and max loss rules
An interactive dashboard that enhances usability and transparency
Every component has a distinct role in the system, and none are used as-is from public sources without modification or integration logic. The design follows a cohesive and rule-based structure for algorithmic execution.
⚠️ Disclaimer
This strategy is for educational and informational purposes only. It does not constitute financial advice. Trading cryptocurrencies involves substantial risk, and past performance is not indicative of future results. Always backtest and forward-test before using on a live account. Use at your own risk.
📅 Backtest Range & Market Conditions Note
The performance results displayed for Fusion Sniper X are based on a focused backtest period from December 1, 2024 to May 10, 2025. This range was chosen intentionally due to the dynamic and volatile nature of cryptocurrency markets, where structural and behavioral shifts can occur rapidly. By evaluating over a shorter, recent time window, the strategy is tuned to current market mechanics and avoids misleading results that could come from outdated market regimes. This ensures more realistic, forward-aligned performance — particularly important for high-frequency systems operating on the 1-hour timeframe.
TLC sessionA Professional Intraday Session Tracker with VWAP and Economic Event Integration
Description
This indicator provides visual tracking of major trading sessions (Asian, London, New York) combined with VWAP calculations and macroeconomic event zones. It's designed for intraday traders who need to monitor session overlaps, liquidity periods, and high-impact news events.
The basic script of trading sessions was taken as a basis and refined for greater convenience.
Key Features:
Customizable Session Tracking: Visualize up to 3 trading sessions with adjustable time zones (supports IANA & GMT formats)
Dynamic VWAP Integration: Built-in Volume-Weighted Average Price calculation
Macro Event Zones: Highlights key economic announcement windows (adjustable for summer/winter time)
Price Action Visualization: Displays open/close prices, session ranges, and average price levels
Automatic DST Adjustment: Uses IANA timezone database for daylight savings awareness
How It Works
1. Trading Session Detection
Three fully configurable sessions (e.g., Asia, London, New York)
Each session displays:
Colored background zone
Opening price (dashed line)
Closing price (dashed line)
Average price (dotted line)
Optional label with session name
2. VWAP Calculation
Standard Volume-Weighted Average Price plotted as circled line
Helps identify fair value within each session
3. Macro Event Zones
Special highlighted period for economic news releases
Automatically adjusts for summer/winter time
Default set to 1000-1200 (summer) or 0900-1100 (winter) GMT-5 (US session open)
Why This Indicator is Unique
Multi-Session Awareness
Unlike simple session indicators, this tool:
Tracks price development within each session
Shows session overlaps (critical for volatility periods)
Maintains separate VWAP calculations across sessions
Professional-Grade Features
IANA timezone support (automatic DST handling)
Customizable visual elements (toggle labels, ranges, averages)
Object-based architecture (clean, efficient rendering)
News event integration (helps avoid trading during high-impact releases)
Usage Recommendations
Best Timeframes
1-minute to 1-hour charts (intraday focus)
Not recommended for daily+ timeframes
Trading Applications
1. Session Breakout Strategy: Trade breakouts when London/New York sessions open
2. VWAP Reversion: Fade moves that deviate too far from VWAP
3. News Avoidance: Reduce position sizing during macro event windows
Visual Example
Asian session (red)
London session (blue)
New York session (purple)
Macro event zone (white)
VWAP line (gold circles)
The basic script of trading sessions was taken as a basis and refined for greater convenience.
Delta AO + Regular AO (Normalized)🔀 Delta AO + Regular AO (Normalized) – Visualizing Market moods becomes simpler 🔀
🧠 Introduction
The Delta AO + Regular AO (Normalized) is a custom oscillator that fuses the power of classic momentum analysis with volume-derived delta flow to give traders a dual-perspective edge.
This tool was born from a need to better visualize internal market thrust (via delta) while still respecting the time-tested signal power of the traditional Awesome Oscillator (AO).
🔍 What makes it unique?
✅ Volume-based Delta Calculation – Models upward/downward delta using a custom volatility-weighted volume allocation method, not simple tick-delta or raw buys/sells.
✅ Cumulative Delta Candles – Instead of just plotting bars, the indicator rebuilds the market structure using cumulative delta logic.
✅ Dual AO Display – Shows both custom delta AO and traditional price AO simultaneously.
✅ Normalized Scaling – Each AO is independently normalized by its standard deviation (volatility-adjusted), making both indicators visually comparable without distortion.
🧮 Under the Hood
Let’s break down the components:
1. Delta Logic 📊
Rather than using raw delta or tick-level data, this script simulates net effort:
Delta Up = Volume × a smart weighting when the candle is bullish
Delta Down = Volume × weighting when the candle is bearish
The weighting dynamically adjusts based on candle body-to-wick ratio. This provides a more refined delta estimate based on candle structure.
This delta is accumulated (cumulative delta) and used to form a synthetic OHLC candle structure.
2. AO Calculations ⚖️
Custom AO: Calculated from the median of synthetic delta candles
Regular AO: Classic (median price 5-period SMA - 34-period SMA)
Both are normalized using their own 34-bar standard deviation, improving comparability and visualization in one pane.
3. Color Coding 🎨
For the delta AO histogram:
Lime: Bullish + Increasing Momentum
Green: Bullish + Weakening Momentum
Red: Bearish + Increasing Momentum (to the downside)
Maroon: Bearish + Weakening Momentum
This lets you immediately spot momentum shifts and strength behind volume-based moves.
📈 How to Use – Trading Guide
🔧 Recommended Setup:
Timeframe: Works well on all intraday and higher timeframes (5m–1D)
Symbol: Especially effective on liquid instruments (futures, indices, large caps)
✅ Entry Signals
🔹 Buy Setup
Delta AO turns green or lime above zero, and Regular AO is also rising
Ideal confirmation: Lime bar (strong bullish delta momentum) and a crossover above zero
🔹 Sell Setup
Delta AO turns maroon or red below zero, and Regular AO is also falling
Ideal confirmation: Red bar (strong bearish delta momentum) and AO falling further below zero
🔄 Momentum Confirmation
Look for divergence between the Delta AO and Regular AO.
🔼 If Delta AO is rising but Regular AO is flat or falling → Volume is leading price (possible breakout ahead)
🔽 If Regular AO is strong but Delta AO fades → Price may be unsustainable (fakeout risk)
🛑 Exit / Reversal Clues
Sudden color shifts (e.g., Lime → Green → Maroon) can signal momentum exhaustion
Both AOs converging to zero suggests consolidation phase ahead
📌 Pro Tips
Use this with volume profile, support/resistance, or market structure zones for maximum confluence
Works great as a secondary confirmation tool for your existing strategy
💬 Final Thoughts
This oscillator is not just a pretty double AO — it's a strategic fusion of price and volume time-series designed to help you anticipate shifts before they’re obvious in price alone.
If you're looking for:
A modernized AO
Volume-integrated signal clarity
Normalized, noise-filtered momentum visual
Then this tool belongs in your chart arsenal.
📈 Try it. Test it. Pair it. If you find value, consider sharing or following for more next-gen indicators.
Please note this is an educational idea and past performance is not assurance of future performance.
Happy trading!
— @Pratik_4Clover
ItsGuarantee Instrument Net Change Real-TimeDescription of the Indicator
The "ItsGuarantee Instrument Net Change Real-Time" is a Pine Script (version 5) indicator developed for TradingView to provide real-time net price change metrics for a financial instrument across three timeframes: Year-to-Date (YTD), Month-to-Date (MTD), and Day-to-Date (DTD). It calculates the difference between the instrument's current closing price and its opening price at the start of the year, month, and day, respectively. These net changes are displayed in a customizable table overlaid on the chart, enabling traders to quickly assess the instrument's performance over these periods without manual calculations.
Key Features:
Real-Time Net Change Calculation:
YTD Net Change: Measures the difference between the current price and the opening price on January 1, 2025 (or the specified year).
MTD Net Change: Calculates the difference between the current price and the opening price at the beginning of the current month.
DTD Net Change: Computes the difference between the current price and the opening price of the current trading day.
Customizable Table Display:
The table's position on the chart can be adjusted via a user input dropdown, with options including "top_right," "top_left," "middle_right," "middle_left," "bottom_right," or "bottom_left."
The table is structured with two columns ("Metric" and "Value") and four rows (a header row followed by three rows for the net change metrics).
It features a clean design with a gray header and white cells, accented by a border for improved readability.
Overlay on Chart:
The indicator operates in overlay=true mode, meaning the table is displayed directly on the price chart rather than in a separate pane, allowing traders to view performance metrics alongside price action seamlessly.
Error Handling:
If data for a specific timeframe (e.g., the yearly open price) is unavailable (na), the table displays "N/A" instead of a numerical value, ensuring the indicator remains functional even with incomplete data.
How It Works:
Inputs:
The script defines the starting year for the YTD calculation (default is 2025) and includes an input for the table's position on the chart.
A switch statement maps the user-selected table position (e.g., "top_right") to the corresponding Pine Script position constant (e.g., position.top_right).
Data Retrieval:
The current price is sourced using the close variable, which updates in real-time as new price data becomes available.
Historical opening prices for the year, month, and day are retrieved using request.security, pulling data from the specified timeframes ("12M" for yearly, "M" for monthly, "D" for daily). The barmerge parameters ensure accurate data alignment without gaps or lookahead bias.
Net Change Calculations:
YTD Net Change = Current Price - Yearly Open Price (January 1, 2025)
MTD Net Change = Current Price - Monthly Open Price (start of the current month)
DTD Net Change = Current Price - Daily Open Price (start of the current trading day)
The na function checks for missing data to prevent errors during calculations.
Table Creation and Population:
A table is created using table.new with 2 columns and 4 rows, positioned according to the user's input.
The first row serves as a header with "Metric" and "Value" labels, styled with a gray background and white text for contrast.
The subsequent rows display the YTD, MTD, and DTD net changes in dollars, formatted to two decimal places using str.tostring. If a value is unavailable, it displays "N/A."
Use Case for Traders:
This indicator is highly practical for traders and investors who need to monitor an instrument's performance across different timeframes without performing manual calculations. Specific use cases include:
Day Traders: The DTD net change provides a snapshot of intraday performance, helping traders make quick decisions based on daily price movements.
Swing Traders: The MTD net change offers insights into short-term trends within the month, aiding in the identification of potential swing opportunities.
Long-Term Investors: The YTD net change allows for tracking yearly performance, which is valuable for portfolio management, performance evaluation, or tax-related purposes (e.g., assessing gains/losses in 2025).
The table's overlay format ensures that these metrics are always visible on the chart, providing a convenient reference point during technical analysis. It complements other tools like momentum indicators or moving averages, offering a comprehensive view of both price performance and trend dynamics.
Potential Enhancements:
Percentage Change: The indicator currently displays net changes in dollar terms. Adding percentage changes (e.g., YTD % change = (YTD Net Change / Year Open Price) * 100) could provide a more normalized perspective on performance.
Color Coding: Incorporating conditional formatting (e.g., green for positive net changes, red for negative) would make the table more visually intuitive for quick decision-making.
Dynamic Year Input: Allowing users to dynamically input the starting year (instead of hardcoding 2025) would enhance the indicator's flexibility for use in future years.
Additional Timeframes: Including other periods like Quarter-to-Date (QTD) could align with business reporting practices, as highlighted in related sources like Sisense (2025), which discusses the importance of QTD metrics for trend analysis.
Connection to the Original Post:
The "ItsGuarantee Instrument Net Change Real-Time" indicator connects directly to the theme of the original X post by @ItsGuarantee
about "Instrument Speed & Close Momentum." While the post likely refers to a momentum-based indicator (focusing on the rate of price changes to assess trend strength), this net change table provides a complementary perspective by quantifying price performance over specific timeframes. Momentum indicators, as noted in the Investopedia (2025) web results, are useful for identifying overbought or oversold conditions, while net change metrics (YTD, MTD, DTD) offer a straightforward way to track overall price movement, supporting trend confirmation or portfolio monitoring. The "ItsGuarantee" branding ties this indicator to the creator's suite of tools, emphasizing real-time, actionable insights for traders.
Moving Volume-Weighted Avg Price, % Channel, BBsThis script includes:
- Moving Volume-Weighted Average Price line.
- User-defined % band above and below, very useful for "breakout" signals, and mentally adjusting to the magnitude of price swings when viewing an automatic scale on the price axis.
- Volume-Weighted Bollinger Bands, which are more sensitive to volume.
More detail:
- This is like TV's basic VWAP in concept, except the major flaw in that is that it has reset periods that you can't override, and the volume is cumulative until the next hard reset. The 'reset' is OK for securities trading, that resets every day anyway. But not for crypto - and not if/when securities trading goes 24/7. Also, the denominator accumulating over the entire period is also *not* OK, because then what is shown means something different as the day progresses - which kind of makes it useless. In other words, it starts out very sensitive to volume, and gets progressively more numb to it as they day progresses, and starts flattening out.
- This fixes both problems, by using a user-definable moving window for the average. Essentially combining SMA with volume-weighting.
- You may also find an invaluable trading aid, in the % bands above and below.
- What can optionally be shown is standard deviation bands, aka Bollinger bands. The advantage over regular BB is that it's volume-weighted. Since it is already calculated on a moving average, the period for the standard deviation has been shortened by default, and the magnitude increased, to better approximate regular Bollinger Bands - but it's still more responsive to volume.