OBV Strength Relative to Volume (Lakhs View)OBV Strength Relative to Volume (Lakhs View)
Description:
to provide a compact yet powerful insight into volume momentum and price conviction. It's tailored for traders and analysts in markets like India, where high-volume stocks are often better interpreted in lakhs.
💡 Key Features:
OBV Calculation: Cumulative OBV is computed based on price movement direction and volume contribution.
OBV Strength (%): Measures the percentage strength of OBV relative to total volume over a user-defined period. It reflects how strongly volume is contributing to price movements.
Lakhs View: Both OBV and Volume are scaled to lakhs for cleaner readability and practical analysis in high-volume securities.
Historical Table Display:
Displays date-wise OBV, Volume, and OBV Strength for the last N candles (customizable).
Automatically updates every 5 bars or on each bar for real-time analysis.
Color-coded cells for quick visual recognition.
⚙️ Inputs:
OBV Strength Period: Number of bars used to calculate OBV strength (default = 5).
Number of Days in Table: Number of recent bars shown in the on-chart table (default = 5).
📈 Plots:
OBV (Lakhs) – Aqua line.
Volume (Lakhs) – Orange columns.
OBV Strength (%) – Green line indicating momentum strength based on volume.
📍 Ideal Use:
Use this indicator to:
Spot divergences between OBV and price.
Assess the strength of volume behind a trend.
Track consistency and spikes in volume-backed price moves.
Quickly scan recent trends with a clear numerical and visual table.
Genişlik Göstergeleri
CoffeeShopCrypto Supertrend Liquidity EngineMost SuperTrend indicators use fixed ATR multipliers that ignore context—forcing traders to constantly tweak settings that rarely adapt well across timeframes or assets.
This Supertrend is a nodd to and a more completion of the work
done by Olivier Seban ( @olivierseban )
This version replaces guesswork with an adaptive factor based on prior session volatility, dynamically adjusting stops to match current conditions. It also introduces liquidity-aware zones, real-time strength histograms, and a visual control panel—making your stoploss smarter, more responsive, and aligned with how the market actually moves.
📏 The Multiplier Problem & Adaptive Factor Solution
Traditional SuperTrend indicators rely on fixed ATR multipliers—often arbitrary numbers like 1.5, 2, or 3. The issue? No logical basis ties these values to actual market conditions. What works on a 5-minute Nasdaq chart fails on a daily EUR/USD chart. Traders spend hours tweaking multipliers per asset, timeframe, or volatility phase—and still end up with stoplosses that are either too tight or too loose. Worse, the market doesn’t care about your setting—it behaves according to underlying volatility, not your parameter.
This version fixes that by automating the multiplier selection entirely. It uses a 4-zone model based on the current ATR relative to the previous session’s ATR, dynamically adjusting the SuperTrend factor to match current volatility. It eliminates guesswork, adapts to the asset and timeframe, and ensures you’re always using a context-aware stoploss—one that evolves with the market instead of fighting it.
ATR EXAMPLE
Let’s say prior session ATR = 2.00
Now suppose current ATR = 0.32
This places us in Zone 1 (Very Low Volatility)
It doesn’t imply "overbought" or "oversold" — it tells you the market is moving very little, which often means:
Lower risk | Smaller stops | Smaller opportunities (and losses)
🔁 Liquidity Zones vs. Arbitrary Pullbacks
The standard SuperTrend stop loss line often looks like price “barely misses it” before continuing its trend. Traders call this "stop hunting," but what’s really happening is liquidity collection—price pulls back into a zone rich in orders before continuing. The problem? The old SuperTrend doesn’t show this zone. It only draws the outer limit, leaving no visual cue for where entries or continuation moves might realistically originate.
This script introduces 2 levels in the Liquidity Zone. One for Support and one for Stophunts, which draw dynamically between the current price and the SuperTrend line. These levels reflect where the market is most likely to revisit before resuming the trend. By visualizing the area just above the Supertrend stop loss, you can anticipate pullbacks, spot ideal re-entries, and avoid premature exits. This bridges the gap between mechanical stoploss logic and real-world liquidity behavior.
⏳ Prior Session ATR vs. Live ATR
Using real-time ATR to determine movement potential is like driving by looking in your rearview mirror. It’s reactive, not predictive. Traders often base decisions on live ATR, unaware that today’s range is still unfolding —creating volatility mismatches between what’s calculated and what actually matters. Since ATR reflects range, calculating it mid-session gives an incomplete and misleading picture of true volatility.
Instead, this system uses the ATR from the previous session , anchoring your volatility assumptions in a fully-formed price structure . It tells you how far price moved in the last full market phase—be it London, New York, or Tokyo—giving you a more reliable gauge of expected range today. This is a smarter way to estimate how far price could move rather than how far it has moved.
The Smoothing function will take the ATR, Support, Resistance, Stophunt Levels, and the Moving Avearage and smooth them by the calculation you choose.
It will also plot a moving average on your chart against closing prices by the smoothing function you choose.
🧭 Scalping vs. Trending Modes
The market moves in at least 4 phases. Trending, Ranging, Consolidation, Distribution.
Every trader has a different style —some scalp low-volatility moves during off-hours, while others ride macro trends across days. The problem with classic SuperTrend? It treats every market condition the same. A fixed system can’t possibly provide proper stoploss spacing for both a fast scalp and a long-term swing. Traders are forced to rebuild their system every time the market changes character or the session shifts.
This version solves that with a simple toggle:
Scalping or Trend Mode . With one switch, it inverts the logic of the adaptive factor to either tighten or loosen your trailing stops. During low-liquidity hours or consolidation phases, Scalping Mode offers snug stoplosses. During expansion or clear directional bias.
Trend Mode lets the trade breathe. This is flexibility built directly into the logic—not something you have to recalibrate manually.
📉 Histogram Oscillator for Move Strength
In legacy indicators, there’s no built-in way to gauge when the move is losing power . Traders rely on price action or momentum indicators to guess if a trend is fading. But this adds clutter, lag, and often contradiction. The classic SuperTrend doesn’t offer insight into how strong or weak the current trend leg is—only whether price has crossed a line.
This version includes a Trending Liquidity Histogram —a histogram that shows whether the liquidity in the SuperTrend zone is expanding or compressing. When the bars weaken or cross toward zero, it signals liquidity exhaustion . This early warning gives you time to prep for reversals or anticipate pullbacks. It even adapts visually depending on your trading mode, showing color-coded signals for scalping vs. trending behavior. It's both a strength gauge and a trade timing tool—built into your stoploss logic.
Histogram in Scalping Mode
Histogram in Trending Mode
📊 Visual Table for Real-Time Clarity
A major issue with custom indicators is opacity —you don’t always know what settings or values are currently being used. Even worse, if your dynamic logic changes mid-trade, you may not notice unless you go digging into the code or logs. This can create confusion, especially for discretionary traders.
This SuperTrend solves it with a clean visual summary table right on your chart. It shows your current ATR value, adaptive multiplier, trailing stop level, and whether a new zone size is active. That means no surprises and no second-guessing—everything important is visible and updated in real-time.
[FS] Time & Cycles Time & Cycles
A comprehensive trading session indicator that helps traders identify and track key market sessions and their price levels. This tool is particularly useful for forex and futures traders who need to monitor multiple trading sessions.
Key Features:
• Multiple Session Support:
- London Session
- New York Session
- Sydney Session
- Asia Session
- Customizable TBD Session
• Session Visualization:
- Clear session boxes with customizable colors
- Session labels with adjustable visibility
- Support for sessions crossing midnight
- Timezone-aware calculations
• Price Level Tracking:
- Daily High/Low levels
- Weekly High/Low levels
- Previous session High/Low levels
- Customizable history depth for each level type
• Customization Options:
- Adjustable colors for each session
- Customizable border styles
- Label visibility controls
- Timezone selection
- History level depth settings
• Technical Features:
- High-performance calculation engine
- Support for multiple timeframes
- Efficient memory usage
- Clean and intuitive visual display
Perfect for:
• Forex traders monitoring multiple sessions
• Futures traders tracking market hours
• Swing traders identifying key session levels
• Day traders planning their trading hours
• Market analysts studying session patterns
The indicator helps traders:
- Identify active trading sessions
- Track session-specific price levels
- Monitor market activity across different time zones
- Plan trades based on session boundaries
- Analyze price action within specific sessions
Note: This indicator is designed to work across all timeframes and is optimized for performance with minimal impact on chart loading times.
Stephis Supply & Demand Zones v3
📉 Support
Definition: Support is a price level where a downtrend can be expected to pause or reverse due to a concentration of buying interest.
Why it matters: When the price of an asset falls to a support level, traders expect buyers to step in, preventing the price from falling further.
Visual clue: On a chart, support often appears as a horizontal line where the price has bounced up multiple times.
📈 Demand
Definition: Demand refers to the willingness and ability of buyers to purchase an asset at a given price.
In trading context: High demand typically pushes prices up, while low demand can lead to price drops.
Relation to support: A support level exists because of demand—buyers are willing to buy at that price, creating a floor.
🧠 How They Work Together
When price approaches a support level, traders watch to see if demand increases—if it does, the price may bounce.
If the support level is broken, it may signal that demand has weakened, and the price could fall further.
🔁 Opposite Concept: Resistance & Supply
Resistance is the opposite of support—it's a level where selling pressure (supply) may stop a price from rising.
Just like demand creates support, supply creates resistance.
High/LowPrevious Day High/Low & Weekly Open Indicator
A clean and simple indicator that displays key reference levels for intraday trading.
Features:
Previous day's high and low levels
Current week's opening price
Auto-hides levels once broken (prevents clutter)
Resets automatically at the start of each trading day
No repainting - uses proper security function calls
How it works:
The indicator plots yesterday's high/low as horizontal lines on your chart. When price breaks above the previous day's high, that level disappears. Same for the low. This keeps your chart clean and shows only unbroken levels.
Perfect for:
Day traders using previous day's range as reference
Breakout trading strategies
Support/resistance analysis
Clean chart setup without manual level drawing
The cyan lines show previous day's high/low, while the orange line displays the weekly open. All levels use non-repainting data for reliable backtesting.
Yelober - Intraday ETF Dashboard# How to Read the Yelober Intraday ETF Dashboard
The Intraday ETF Dashboard provides a powerful at-a-glance view of sector performance and trading opportunities. Here's how to interpret and use the information:
## Basic Dashboard Reading
### Color-Coding System
- **Green values**: Positive performance or bullish signals
- **Red values**: Negative performance or bearish signals
- **Symbol colors**: Green = buy signal, Red = sell signal, Gray = neutral
### Example 1: Identifying Strong Sectors
If you see XLF (Financials) with:
- Day % showing +2.65% (green background)
- Symbol in green color
- RSI of 58 (not overbought)
**Interpretation**: Financial sector is showing strength and momentum without being overextended. Consider long positions in top financial stocks like JPM or BAC.
### Example 2: Spotting Weakness
If you see XLK (Technology) with:
- Day % showing -1.20% (red background)
- Week % showing -3.50% (red background)
- Symbol in red color
- RSI of 35 (approaching oversold)
**Interpretation**: Technology sector is showing weakness across multiple timeframes. Consider avoiding tech stocks or taking short positions in names like MSFT or AAPL, but be cautious as the low RSI suggests a bounce may be coming.
## Advanced Interpretations
### Example 3: Sector Rotation Detection
If you observe:
- XLE (Energy) showing +2.10% while XLK (Technology) showing -1.50%
- Both sectors' Week % values showing the opposite trend
**Interpretation**: This suggests money is rotating out of technology into energy stocks. This rotation pattern is actionable - consider reducing tech exposure and increasing energy positions (look at XOM, CVX in the Top Stocks column).
### Example 4: RSI Divergences
If you see XLU (Utilities) with:
- Day % showing +0.50% (small positive)
- RSI showing 72 (overbought, red background)
**Interpretation**: Despite positive performance, the high RSI suggests the sector is overextended. This divergence between price and indicator suggests caution - the rally in utilities may be running out of steam.
### Example 5: Relative Strength in Weak Markets
If SPY shows -1.20% but XLP (Consumer Staples) shows +0.30%:
**Interpretation**: Consumer staples are showing defensive strength during market weakness. This is typical risk-off behavior. Consider defensive positions in stocks like PG, KO, or PEP for protection.
## Practical Application Scenarios
### Day Trading Setup
1. **Morning Market Assessment**:
- Check which sectors are green pre-market
- Focus on sectors with Day % > 1% and RSI between 40-70
- Identify 2-3 stocks from the Top Stocks column of the strongest sector
2. **Midday Reversal Hunting**:
- Look for sectors with symbol color changing from red to green
- Confirm with RSI moving away from extremes
- Trade stocks from that sector showing similar pattern changes
### Swing Trading Application
1. **Trend Following**:
- Identify sectors with positive Day % and Week %
- Look for RSI values in uptrend but not overbought (45-65)
- Enter positions in top stocks from these sectors, using daily charts for confirmation
2. **Contrarian Setups**:
- Find sectors with deeply negative Day % but RSI < 30
- Look for divergence (price making new lows but RSI rising)
- Consider counter-trend positions in the stronger stocks within these oversold sectors
## Reading Special Conditions
### Example 6: Risk-Off Environment
If you observe:
- XLP (Consumer Staples) and XLU (Utilities) both green
- XLK (Technology) and XLY (Consumer Disc) both red
- SPY slightly negative
**Interpretation**: Classic risk-off rotation. Investors are moving to safety. Consider defensive positioning and reducing exposure to growth sectors.
### Example 7: Market Breadth Analysis
Count the number of sectors in green vs. red:
- If 7+ sectors are green: Strong bullish breadth, consider aggressive long positioning
- If 7+ sectors are red: Weak market breadth, consider defensive positioning or shorts
- If evenly split: Market is indecisive, focus on specific sector strength instead of broad market exposure
Remember that this dashboard is most effective when combined with broader market analysis and appropriate risk management strategies.
Adaptive Quadratic Kernel EnvelopeThis study draws a fair-value curve from a quadratic-weighted (Nadaraya-Watson) regression. Alpha sets how sharply weights decay inside the look-back window, so you trade lag against smoothness with one slider. Band half-width is ATRslow times a bounded fast/slow ATR ratio, giving an instant response to regime shifts without overshooting on spikes. Work in log space when an instrument grows exponentially, equal percentage moves then map to equal vertical steps. NearBase and FarBase define a progression of adaptive thresholds, useful for sizing exits or calibrating mean-reversion logic. Non-repaint mode keeps one-bar delay for clean back-tests, predictive mode shows the zero-lag curve for live decisions.
Key points
- Quadratic weights cut phase error versus Gaussian or SMA-based envelopes.
- Dual-ATR scaling updates width on the next bar, no residual lag.
- Log option preserves envelope symmetry across multi-decade data.
- Alpha provides direct control of curvature versus noise.
- Built-in alerts trigger on the first adaptive threshold, ready for automation.
Typical uses
Trend bias from the slope of the curve.
Entry timing when price pierces an inner threshold and momentum stalls.
Breakout confirmation when closes hold beyond outer thresholds while volatility expands.
Stops and targets anchored to chosen thresholds, automatically matching current noise.
Trend TraderDescription and Usage of the "Trend Trader" Indicator
The "Trend Trader" indicator, created by Gerardo Mercado as a legacy project, is a versatile trading tool designed to identify potential buy and sell signals across various instruments. While it provides predefined settings for popular instruments like US30, NDX100, GER40, and GOLD, it can be seamlessly adapted to any market, including forex pairs like EUR/USD. The indicator combines moving averages, time-based filters, and MACD confirmation to enhance decision-making for traders.
How It Works
Custom Moving Averages (MAs):
The indicator uses two moving averages:
Short MA: A faster-moving average (default: 10 periods).
Long MA: A slower-moving average (default: 100 periods).
Buy signals are generated when the Short MA crosses above the Long MA.
Sell signals are triggered when the Short MA crosses below the Long MA.
Time-Based Signals:
The user can define specific trading session times (start and end in UTC) to focus on high-activity periods for their chosen market.
Signals and background coloring are only active during the allowed session times.
MACD Confirmation:
A MACD (Moving Average Convergence Divergence) calculation on a 15-minute timeframe ensures stronger confirmation for signals.
Buy signals require the MACD line to be above the signal line.
Sell signals require the MACD line to be at or below the signal line.
Target Levels:
Predefined profit targets are dynamically set based on the selected trading instrument.
While it includes settings for US30, NDX100, GER40, and GOLD, the target levels can be adjusted to fit the volatility and structure of any asset, including forex pairs like EUR/USD.
Target 1 and Target 2 levels display when these thresholds are met after an entry signal.
Adaptability to Any Market:
Although predefined options are included for specific instruments, the indicator's moving averages, time settings, and MACD logic are applicable to any tradable asset, making it suitable for forex, commodities, indices, and more.
Visual Alerts:
Labels appear on the chart to highlight "BUY" and "SELL" signals at crossover points.
Additional labels indicate when price movements reach the predefined target levels.
Bar and background coloring visually represent active signals and MACD alignment.
Purpose
The indicator aims to simplify trend-following and momentum-based trading strategies. By integrating moving averages, MACD, customizable time sessions, and dynamic targets, it offers clear entry and exit points while being adaptable to the needs of individual traders across diverse markets.
How to Use
Setup:
Add the indicator to your TradingView chart.
Configure the moving average periods, trading session times, and target levels according to your preferences.
Select the instrument for predefined target settings or customize them to fit the asset you’re trading (e.g., EUR/USD or other forex pairs).
Interpreting Signals:
Buy Signal: The Short MA crosses above the Long MA, MACD confirms the upward trend, and the session is active.
Sell Signal: The Short MA crosses below the Long MA, MACD confirms the downward trend, and the session is active.
Adapt for Any Instrument:
Adjust the predefined target levels to match the volatility and trading style for your chosen asset.
For forex pairs like EUR/USD, consider typical pip movements to set appropriate profit targets.
Targets:
Use the provided target labels (e.g., 50 or 100 points) or customize them to reflect realistic profit goals based on the asset’s volatility.
Visual Aids:
Pay attention to the background color:
Greenish: Indicates a bullish trend during the allowed session.
Redish: Indicates a bearish trend during the allowed session.
Use the "BUY" and "SELL" labels for actionable insights.
This indicator is a flexible and powerful tool, suitable for traders across all markets. Its adaptability ensures that it can enhance your strategy, whether you’re trading forex, commodities, indices, or other assets. By offering actionable alerts and customizable settings, the "Trend Trader" serves as a valuable addition to any trader’s toolkit. FX:EURUSD
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032
This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength.
Features:
OBV-based trend tracking
Optional smoothing: SMA, EMA, RMA, WMA, VWMA
Optional Bollinger Bands with SMA
Potential Combinations and Trading Strategies:
Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend.
Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal.
Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal.
1. On-Balance Volume (OBV):
Purpose: OBV is a momentum indicator that uses volume flow to predict price movements.
Calculation: Volume is added on up days and subtracted on down days.
Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices.
Divergence: Divergence between OBV and price can signal potential trend reversals.
2. Moving Average (MA):
Purpose: Moving Averages smooth price fluctuations and help identify trends.
Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation.
3. Bollinger Bands (BB):
Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals.
Structure: They consist of a moving average (typically 20-period) and two standard deviation bands.
Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal.
Created by: Marius1032
BSL & SSL - Liquidity Zones
BSL & SSL - Liquidity Zones
Indicator Description (for TradingView)
Concept
The BSL & SSL - Liquidity Zones indicator is a simple yet powerful visual tool that helps traders identify key liquidity zones in the market by tracking prominent highs and lows on the chart.
It is based on the concept that the Highest High (Buy Side Liquidity - BSL) and Lowest Low (Sell Side Liquidity - SSL) represent zones where stop-loss orders and pending orders accumulate — often attracting future price movements.
Purpose
This indicator helps traders spot hidden liquidity levels which may act as targets or potential reversal points. It is especially useful for traders who apply Smart Money Concepts (SMC) or institutional trading models.
Great for detecting potential stop hunts and understanding market structure shifts.
How It Works
The indicator calculates the Highest High and Lowest Low over a user-defined period (default: 20 candles).
When a new Higher High forms, it marks a new BSL.
When a new Lower Low forms, it marks a new SSL.
These zones are likely to attract price in the future — either as targets or traps.
Visualization
The indicator draws static horizontal lines (Stepline style) at BSL and SSL levels.
These lines remain in place until broken or a new level is formed.
Visual Labels enhance clarity:
🟢 Green Label → BSL
🔴 Red Label → SSL
Trading Insights / Practical Use
When price approaches a BSL or SSL zone, ask yourself:
✅ Will price break the level to grab liquidity?
✅ Will there be a reversal after liquidity is taken?
The indicator does not provide signals by itself — it serves as a valuable confirmation tool when combined with:
Price Action
Support & Resistance
Momentum Indicators
SMC Tools
Key Benefits
✅ Easy to use
✅ Enhances liquidity analysis
✅ Highlights zones targeted by institutional players
✅ Simple calculation — no complex formulas
Limitations
🚫 Does NOT generate buy/sell signals
🚫 Should be used as part of a complete trading framework
Conclusion
BSL & SSL - Liquidity Zones is a versatile and intuitive tool for any trader looking to better understand where liquidity is positioned on the chart.
It works across all timeframes and complements any trading strategy, especially Smart Money-based approaches.
21DMA Structure Counter (EMA/SMA Option)21DMA Structure Counter (EMA/SMA Option)
Overview
The 21DMA Structure Counter is an advanced technical indicator that tracks consecutive periods where price action remains above a 21-period moving average structure. This indicator helps traders identify momentum phases and potential trend exhaustion points using statistical analysis.
Key Features
Moving Average Structure
- Configurable MA Type: Choose between EMA (Exponential Moving Average) or SMA (Simple Moving Average)
- 21-Period Default: Optimized for the widely-watched 21-period moving average
- Triple MA Structure: Tracks high, close, and low moving averages for comprehensive analysis
Statistical Analysis
- Cycle Counting: Automatically counts consecutive periods above the MA structure
- Historical Data: Maintains up to 2,500 historical cycles (approximately 10 years of daily data)
- Z-Score Calculation: Provides statistical context using mean and standard deviation
- Multiple Standard Deviation Levels: Displays +1, +2, and +3 standard deviation thresholds
Visual Indicators
Color-Coded Bars:
- Gray: Below 10-year average
- Yellow: Between average and +1 standard deviation
- Orange: Between +1 and +2 standard deviations
- Red: Between +2 and +3 standard deviations
- Fuchsia: Above +3 standard deviations (extreme readings)
Breadth Integration
- Multiple Breadth Options: NDFI, NDTH, NDTW (NASDAQ breadth indicators), or VIX
- Background Shading: Visual alerts when breadth reaches extreme levels
- High/Low Thresholds: Customizable levels for breadth analysis
- Real-time Display: Current breadth value shown in data table
Smart Reset Logic
- High Below Structure Reset: Automatically resets count when daily high falls below the lowest MA
- Flexible Hold Period: Continues counting during temporary weakness as long as structure isn't violated
- Precise Entry/Exit: Strict criteria for starting cycles, flexible for maintaining them
How to Use
Trend Identification
- Rising Counts: Indicate sustained momentum above key moving average structure
- Extreme Readings: Z-scores above +2 or +3 suggest potential trend exhaustion
- Historical Context: Compare current cycles to 10-year statistical averages
Risk Management
- Breadth Confirmation: Use breadth shading to confirm market-wide strength/weakness
- Statistical Extremes: Exercise caution when readings reach +3 standard deviations
- Reset Signals: Pay attention to structure violations for potential trend changes
Multi-Timeframe Application
- Daily Charts: Primary timeframe for swing trading and position management
- Weekly/Monthly: Longer-term trend analysis
- Intraday: Shorter-term momentum assessment (adjust MA period accordingly)
Settings
Moving Average Options
- Type: EMA or SMA selection
- Period: Default 21 (customizable)
- Reset Days: Days below structure required for reset
Visual Customization
- Standard Deviation Lines: Toggle and customize colors for +1, +2, +3 SD
- Breadth Selection: Choose from NDFI, NDTH, NDTW, or VIX
- Threshold Levels: Set custom high/low breadth thresholds
- Table Styling: Customize text colors, background, and font size
Technical Notes
- Data Retention: Maintains 2,500 historical cycles for robust statistical analysis
- Real-time Updates: Calculations update with each new bar
- Breadth Integration: Uses security() function to pull external breadth data
- Performance Optimized: Efficient array management prevents memory issues
Best Practices
1. Combine with Price Action: Use alongside support/resistance and chart patterns
2. Monitor Breadth Divergences: Watch for breadth weakness during strong readings
3. Respect Statistical Extremes: Exercise caution at +2/+3 standard deviation levels
4. Context Matters: Consider overall market environment and sector rotation
5. Risk Management: Use appropriate position sizing, especially at extreme readings
Disclaimer
This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis and proper risk management techniques.
Compatible with Pine Script v6 | Optimized for daily timeframes | Best used on major indices and liquid stocks
Volume-Time Imbalance (VTI)Volume-Time Imbalance (VTI) – Indicator Description
This indicator measures the imbalance between traded volume and the time elapsed between bars to identify unusual spikes in volume per second (volume per unit of time). Its purpose is to highlight volume movements that may indicate moments of strong interest, acceleration, or reversal in the market.
How it works:
It calculates the traded volume divided by the time (in seconds) elapsed since the previous bar — thus obtaining the volume per second.
An EMA (exponential moving average) of this volume per second is calculated to smooth the data.
The VTI value is the ratio between the current volume per second and this moving average, showing if the current volume is above what is expected for that pace.
The higher the VTI, the greater the imbalance between volume and time, indicating possible bursts of activity.
Settings:
VTI Moving Average Length: The period of the moving average used to smooth the volume per second (default is 20).
Alert Thresholds: Alert levels to identify moderate and high imbalances (defaults are 1.5 and 2.0).
Show VTI Histogram: Displays the VTI histogram in the indicator window.
Color Background: Colors the indicator background based on the strength of the imbalance (orange for moderate, red for high).
Show Alert Arrows: Shows arrows below the chart when a strong volume spike occurs (high alert).
Interpretation:
VTI values above the moderate level (1.5) indicate an unusual increase in volume relative to time.
Values above the high level (2.0) signal strong spikes that may anticipate significant moves or trend changes.
Use the colors and arrows as visual confirmations to quickly identify these moments.
Cumulative Intraday Volume with Long/Short LabelsThis indicator calculates a running total of volume for each trading day, then shows on the price chart when that total crosses levels you choose. Every day at 6:00 PM Eastern Time, the total goes back to zero so it always reflects only the current day’s activity. From that moment on, each time a new candle appears the indicator looks at whether the candle closed higher than it opened or lower. If it closed higher, the candle’s volume is added to the running total; if it closed lower, the same volume amount is subtracted. As a result, the total becomes positive when buyers have dominated so far today and negative when sellers have dominated.
Because futures markets close at 6 PM ET, the running total resets exactly then, mirroring the way most intraday traders think in terms of a single session. Throughout the day, you will see this running total move up or down according to whether more volume is happening on green or red candles. Once the total goes above a number you specify (for example, one hundred thousand contracts), the indicator will place a small “Long” label at that candle on the main price chart to let you know buying pressure has reached that level. Similarly, once the total goes below a negative number you choose (for example, minus one hundred thousand), a “Short” label will appear at that candle to signal that selling pressure has reached your chosen threshold. You can set these threshold numbers to whatever makes sense for your trading style or the market you follow.
Because raw volume alone never turns negative, this design uses candle direction as a sign. Green candles (where the close is higher than the open) add volume, and red candles (where the close is lower than the open) subtract volume. Summing those signed volume values tells you in a single number whether buying or selling has been stronger so far today. That number resets every evening, so it does not carry over any buying or selling from previous sessions.
Once you have this indicator on your chart, you simply watch the “summed volume” line as it moves throughout the day. If it climbs past your long threshold, you know buyers are firmly in control and a long entry might make sense. If it falls past your short threshold, you know sellers are firmly in control and a short entry might make sense. In quieter markets or times of low volume, you might use a smaller threshold so that even modest buying or selling pressure will trigger a label. During very active periods, a larger threshold will prevent too many signals when volume spikes frequently.
This approach is straightforward but can be surprisingly powerful. It does not rely on complex formulas or hidden statistical measures. Instead, it simply adds and subtracts daily volume based on candle color, then alerts you when that total reaches levels you care about. Over several years of historical testing, this formula has shown an ability to highlight moments when intraday sentiment shifts decisively from buyers to sellers or vice versa. Because the indicator resets every day at 6 PM, it always reflects only today’s sentiment and remains easy to interpret without carrying over past data. You can use it on any intraday timeframe, but it works especially well on five-minute or fifteen-minute charts for futures contracts.
If you want a clear gauge of whether buyers or sellers are dominating in real time, and you prefer a rule-based method rather than a complex model, this indicator gives you exactly that. It shows net buying or selling pressure at a glance, resets each session like most intraday traders do, and marks the moments when that pressure crosses the levels you decide are important. By combining a daily reset with signed volume, you get a single number that tells you precisely what the crowd is doing at any given moment, without any of the guesswork or hidden calculations that more complicated indicators often carry.
BBS – Bond Breadth Signal"When bonds scream, breadth collapses, and fear spikes — BBS listens."
🧠 BBS – Bond Breadth Signal
A reversal timing tool built on macro conviction, not price noise.
The Bond Breadth Signal (BBS) was developed to identify major market inflection points by combining four key market stress indicators:
1) 10-Year Yield ROC – Measures sharp moves in the bond market
2) Z-Score of the 10Y – Captures statistical extremes
3) NSHF (Net Highs–Lows) – Signals internal market strength or weakness
4) TLT ROC + VIX – Confirmations of flight to safety and volatility-driven fear
When all conditions align, BBS marks either a For-Sure Buy or For-Sure Sell — these are rare, high-confidence signals designed to cut through noise and focus on true market dislocations.
🔧 Features:
-Background color and signal arrows on confirmation days
-Signals remain visually active for 3 days for added clarity
-Fully adjustable thresholds and alert toggles
-Plot panel for yield, TLT, NSHF, VIX, and Z-score visuals
This tool isn’t designed to fire every day. It’s meant to wait for those moments when the market truly bends — not just wiggles.
Best used on major indices (SPY, QQQ, IWM) to assess macro turning points.
VIDYA (Chande)This script brings you VIDYA – the Variable Index Dynamic Average, developed by Tushar Chande. It’s not your typical moving average. Unlike the standard SMA or EMA, VIDYA adapts its speed and smoothness based on real-time market momentum using the Chande Momentum Oscillator (CMO).
Think of it like a moving average that gets faster during strong trends and slows down during sideways or choppy markets — just like how a smart trader would!
🧠 What Makes VIDYA Different?
Traditional moving averages use fixed smoothing, so they lag more during big moves or chop during weak trends.
VIDYA fixes that by adapting its behavior dynamically:
When momentum is strong → VIDYA reacts faster 🚀
When momentum is weak → VIDYA smooths out the noise 🧘
⚙️ How It Works (Explained Simply):
1️⃣ CMO Calculation (Chande Momentum Oscillator):
We look at the past cmoLength candles (default 9) and:
i) Add up all the positive price changes (gains)
ii) Add up all the negative price changes (losses)
iii) Use those to compute a normalized momentum score between -100 and +100
📌 CMO = (Gains - Losses) / (Gains + Losses)
• This gives us a momentum reading that powers the next step.
2️⃣ Dynamic Alpha Smoothing:
• We convert the absolute value of the CMO into an alpha — this is the "speed" of the VIDYA.
📌 Higher momentum = higher alpha → faster response
📌 Lower momentum = lower alpha → smoother behavior
3️⃣ VIDYA Formula:
• Finally, we apply the smoothing:
📌 VIDYA = α × Price + (1 - α) × Previous VIDYA
• This equation continuously adapts to market behavior — trending or ranging.
📊 What’s Plotted?
🟠 The VIDYA Line:
A smooth, responsive line plotted on your price chart that adjusts in real-time with price momentum.
🔎 How to Use It:
✅ Use it like a moving average, but smarter:
• Price > VIDYA and rising → Trend is likely up
• Price < VIDYA and falling → Trend is likely down
• Flat VIDYA = Possible consolidation or sideways market
✅ Combine with:
• Breakout strategies (VIDYA confirms momentum)
• Reversal entries (look for price crossing VIDYA)
• Volatility filters (ignore signals when VIDYA flattens)
🧪 Bonus Tip:
Pair this with a volume indicator (like my Volume Confirmation Bars or Volume Strength Highlight) to confirm whether momentum is backed by real participation or just a fakeout.
📩 Want alerts, dual-timeframe overlays, or VIDYA with other base inputs (like typical price or HLC3)? Let me know — happy to expand this for your setup!
Stay adaptive, not reactive — trade smarter with VIDYA! 🧠📉📈
Period High/Low Percentage DifferenceCheck for price away from 200 days high/low and from recent high and low. Found it difficult to keep switching from regular to percentage in chart. I use it for ETF investing.
Bull & Bear Power Separados📄 English Description for TradingView
Bull & Bear Power – Elder Style
This indicator displays the strength of buyers (Bull Power) and sellers (Bear Power) separately, based on Alexander Elder’s original concept.
It uses a 13-period Exponential Moving Average (EMA) as the baseline, calculating:
Bull Power = High – EMA
Bear Power = Low – EMA
✔️ Bull Power (green) shows buying pressure.
✔️ Bear Power (red) shows selling pressure.
Great for analyzing true market momentum and spotting early signs of potential trend reversals.
Can be used as confirmation together with moving averages (e.g., MMA30 and MMA50) or price action signals.
✅ On 1H gold charts (XAUUSD), it has shown solid behavior in filtering entries during clear trends.
Developed and shared for educational purposes by El Bit Criollo.
Sessions High/LowIndicator lines to show the prior days NY high/low, overnight Asian high/low, and recent London high/low. Time frame variables are included as well as the option to change colors for both the high and low. Good luck.
Configurable Vertical LineThis indicator adds a vertical line at a set amount of bars back. Specifically for when you are using the "auto" chart sizing and the long or short position on auto.
this will allow consistent measuring without using the measuring tool.
Breakout Volume PROBreakout Volume PRO
Real + Projected Volume Detection
This advanced volume indicator detects breakouts based on both actual and projected volume, allowing you to anticipate strong market moves before the current candle closes.
🔹 Key Features:
Volume breakout detection based on configurable moving average and multiplier.
Early signal when projected volume exceeds threshold before candle close.
Distinct coloring for bullish, bearish, and early breakout volume.
Customizable volume threshold area and base average.
Compatible with any timeframe, including daily and intraday.
Colors:
🔵 Blue: Bullish breakout
🔴 Red: Bearish breakout
🟠 Orange: Projected breakout in progress
⚪️ Gray: Normal volume
Perfect for identifying accumulation, distribution, or high-volume events that may precede price breakouts.
Super Arma Institucional PRO v6.3Super Arma Institucional PRO v6.3
Description
Super Arma Institucional PRO v6.3 is a multifunctional indicator designed for traders looking for a clear and objective analysis of the market, focusing on trends, key price levels and high liquidity zones. It combines three essential elements: moving averages (EMA 20, SMA 50, EMA 200), dynamic support and resistance, and volume-based liquidity zones. This integration offers an institutional view of the market, ideal for identifying strategic entry and exit points.
How it Works
Moving Averages:
EMA 20 (orange): Sensitive to short-term movements, ideal for capturing fast trends.
SMA 50 (blue): Represents the medium-term trend, smoothing out fluctuations.
EMA 200 (red): Indicates the long-term trend, used as a reference for the general market bias.
Support and Resistance: Calculated based on the highest and lowest prices over a defined period (default: 20 bars). These dynamic levels help identify zones where the price may encounter barriers or supports.
Liquidity Zones: Purple rectangles are drawn in areas of significantly above-average volume, indicating regions where large market participants (institutional) may be active. These zones are useful for anticipating price movements or order absorption.
Purpose
The indicator was developed to provide a clean and institutional view of the market, combining classic tools (moving averages and support/resistance) with modern liquidity analysis. It is ideal for traders operating swing trading or position trading strategies, allowing to identify:
Short, medium and long-term trends.
Key support and resistance levels to plan entries and exits.
High liquidity zones where institutional orders can influence the price.
Settings
Show EMA 20 (true): Enables/disables the 20-period EMA.
Show SMA 50 (true): Enables/disables the 50-period SMA.
Show EMA 200 (true): Enables/disables the 200-period EMA.
Support/Resistance Period (20): Sets the period for calculating support and resistance levels.
Liquidity Sensitivity (20): Period for calculating the average volume.
Minimum Liquidity Factor (1.5): Multiplier of the average volume to identify high liquidity zones.
How to Use
Moving Averages:
Crossovers between the EMA 20 and SMA 50 may indicate short/medium-term trend changes.
The EMA 200 serves as a reference for the long-term bias (above = bullish, below = bearish).
Support and Resistance: Use the red (resistance) and green (support) lines to identify reversal or consolidation zones.
Liquidity Zones: The purple rectangles highlight areas of high volume, where the price may react (reversal or breakout). Consider these zones to place orders or manage risks.
Adjust the parameters according to the asset and timeframe to optimize the analysis.
Notes
The chart should be configured only with this indicator to ensure clarity.
Use on timeframes such as 1 hour, 4 hours or daily for better visualization of liquidity zones and support/resistance levels.
Avoid adding other indicators to the chart to keep the script output easily identifiable.
The indicator is designed to be clean, without explicit buy/sell signals, following an institutional approach.
This indicator is perfect for traders who want a visually clear and powerful tool to trade based on trends, key levels and institutional behavior.
MestreDoFOMO MACD VisualMasterDoFOMO MACD Visual
Description
MasterDoFOMO MACD Visual is a custom indicator that combines a unique approach to MACD with stochastic logic and simulated Renko-based direction signals. It is designed to help traders identify entry and exit opportunities based on market momentum and trend changes, with a clear and intuitive visualization.
How It Works
Stylized MACD with Stochastic: The indicator calculates the MACD using EMAs (exponential moving averages) normalized by stochastic logic. This is done by subtracting the lowest price (lowest low) from a defined period and dividing by the range between the highest and lowest price (highest high - lowest low). The result is a MACD that is more sensitive to market conditions, magnified by a factor of 10 for better visualization.
Signal Line: An EMA of the MACD is plotted as a signal line, allowing you to identify crossovers that indicate potential trend reversals or continuations.
Histogram: The difference between the MACD and the signal line is displayed as a histogram, with distinct colors (fuchsia for positive, purple for negative) to make momentum easier to read.
Simulated Renko Direction: Uses ATR (Average True Range) to calculate the size of Renko "bricks", generating signals of change in direction (bullish or bearish). These signals are displayed as arrows on the chart, helping to identify trend reversals.
Purpose
The indicator combines the sensitivity of the Stochastic MACD with the robustness of Renko signals to provide a versatile tool. It is ideal for traders looking to capture momentum-based market movements (using the MACD and histogram) while confirming trend changes with Renko signals. This combination reduces false signals and improves accuracy in volatile markets.
Settings
Stochastic Period (45): Sets the period for calculating the Stochastic range (highest high - lowest low).
Fast EMA Period (12): Period of the fast EMA used in the MACD.
Slow EMA Period (26): Period of the slow EMA used in the MACD.
Signal Line Period (9): Period of the EMA of the signal line.
Overbought/Oversold Levels (1.0/-1.0): Thresholds for identifying extreme conditions in the MACD.
ATR Period (14): Period for calculating the Renko brick size.
ATR Multiplier (1.0): Adjusts the Renko brick size.
Show Histogram: Enables/disables the histogram.
Show Renko Markers: Enables/disables the Renko direction arrows.
How to Use
MACD Crossovers: A MACD crossover above the signal line indicates potential bullishness, while below suggests bearishness.
Histogram: Fuchsia bars indicate bullish momentum; purple bars indicate bearish momentum.
Renko Arrows: Green arrows (upward triangle) signal a change to an uptrend; red arrows (downward triangle) signal a downtrend.
Overbought/Oversold Levels: Use the levels to identify potential reversals when the MACD reaches extreme values.
Notes
The chart should be set up with this indicator in isolation for better clarity.
Adjust the periods and ATR multiplier according to the asset and timeframe used.
Use the built-in alerts ("Renko Up Signal" and "Renko Down Signal") to set up notifications of direction changes.
This indicator is ideal for day traders and swing traders who want a visually clear and functional tool for trading based on momentum and trends.
Range Filter Strategy with ATR TP/SLHow This Strategy Works:
Range Filter:
Calculates a smoothed average (SMA) of price
Creates upper and lower bands based on standard deviation
When price crosses above upper band, it signals a potential uptrend
When price crosses below lower band, it signals a potential downtrend
ATR-Based Risk Management:
Uses Average True Range (ATR) to set dynamic take profit and stop loss levels
Take profit is set at entry price + (ATR × multiplier) for long positions
Stop loss is set at entry price - (ATR × multiplier) for long positions
The opposite applies for short positions
Input Parameters:
Adjustable range filter length and multiplier
Customizable ATR length and TP/SL multipliers
All parameters can be optimized in TradingView's strategy tester
You can adjust the input parameters to fit your trading style and the specific market you're trading. The ATR-based exits help adapt to current market volatility.
