Volume Profile Free MAX SLI (50 Levels Value Area VWAP) by RRBVolume Profile Free MAX SLI by RagingRocketBull 2019
Version 1.0
All available Volume Profile Free MAX SLI versions are listed below (They are very similar and I don't want to publish them as separate indicators):
ver 1.0: style columns implementation
ver 2.0: style histogram implementation
ver 3.0: style line implementation
This indicator calculates Volume Profile for a given range and shows it as a histogram consisting of 50 horizontal bars.
It can also show Point of Control (POC), Developing POC, Value Area/VWAP StdDev High/Low as dynamically moving levels.
Free accounts can't access Standard TradingView Volume Profile, hence this indicator.
There are several versions: Free Pro, Free MAX SLI, Free History. This is the Free MAX SLI version. The Differences are listed below:
- Free Pro: 25 levels, +Developing POC, Value Area/VWAP High/Low Levels, Above/Below Area Dimming
- Free MAX SLI: 50 levels, packed to the limit, 2x SLI modes for Buy/Sell or even higher res 150 levels
- Free History: auto highest/lowest, historic poc/va levels for each session
Features:
- High-Res Volume Profile with up to 50 levels (3 implementations)
- 20-30x faster than the old Pro versions especially on lower tfs with long history
- 2x SLI modes for even higher res: 150 levels with 3x vertical SLI, 50 buy/sell levels with 2x horiz SLI
- Calculate Volume Profile on full history
- POC, Developing POC Levels
- Buy/Sell/Total volume modes
- Side Cover
- Value Area, VAH/VAL dynamic levels
- VWAP High/Low dynamic levels with Source, Length, StdDev as params
- Show/Hide all levels
- Dim Non Value Area Zones
- Custom Range with Highlighting
- 3 Anchor points for Volume Profile
- Flip Levels Horizontally
- Adjustable width, offset and spacing of levels
- Custom Color for POC/VA/VWAP levels and Transparency for buy/sell levels
Usage:
- specify max_level/min_level/spacing (required)
- select range (start_bar, range length), confirm with range highlighting
- select volume type: Buy/Sell/Total
- select mode Value Area/VWAP to show corresponding levels
- flip/select anchor point to position the buy/sell levels
- use Horiz SLI mode for 50 Buy/Sell or Vertical SLI for 150 levels if needed
- use POC/Developing POC/VA/VWAP High/Low as S/R levels. Usually daily values from 1-3 days back are used as levels for the current day.
SLI:
- use SLI modes to extend the functionality of the indicator:
- Horiz Buy/Sell 2x SLI lets you view 50 Buy/Sell Levels at the same time
- Vertical Max_Vol 3x SLI lets you increase the resolution to 150 levels
- you need at least 2 instances of the indicator attached to the same chart for SLI to work
1) Enable Horiz SLI:
- attach 2 indicator instances to the chart
- make sure all instances have the same min_level/max_level/range/spacing settings
- select volume type for each instance: you can have a buy/sell or buy/total or sell/total SLI. Make sure your buy volume instance is the last attached to be displayed on top of sell/total instances without overlapping.
- set buy_sell_sli_mode to true for indicator instances with volume_type = buy/sell, for type total this is optional.
- this basically tells the script to calculate % lengths based on total volume instead of individual buy/sell volumes and use ext offset for sell levels
- Sell Offset is calculated relative to Buy Offset to stack/extend sell after buy. Buy Offset = Zero - Buy Length. Sell Offset = Buy Offset - Sell Length = Zero - Buy Length - Sell Length
- there are no master/slave instances in this mode, all indicators are equal, poc/va levels are not affected and can work independently, i.e. one instance can show va levels, another - vwap.
2) Enable Vertical SLI:
- attach the first instance and evaluate the full range to roughly determine where is the highest max_vol/poc level i.e. 0..20000, poc is in the bottom half (third, middle etc) or
- add more instances and split the full vertical range between them, i.e. set min_level/max_level of each corresponding instance to 0..10000, 10000..20000 etc
- make sure all instances have the same range/spacing settings
- an instance with a subrange containing the poc level of the full range is now your master instance (bottom half). All other instances are slaves, their levels will be calculated based on the max_vol/poc of the master instance instead of local values
- set show_max_vol_sli to true for the master instance. for slave instances this is optional and can be used to check if master/slave max_vol values match and slave can read the master's value. This simply plots the max_vol value
- you can also attach all instances and set show_max_vol_sli to true in all of them - the instance with the largest max_vol should become the master
Auto/Manual Ext Max_Vol Modes:
- for auto vertical max_vol SLI mode set max_vol_sli_src in all slave instances to the max_vol of the master indicator: "VolumeProfileFree_MAX_RRB: Max Volume for Vertical SLI Mode". It can be tricky with 2+ instances
- in case auto SLI mode doesn't work - assign max_vol_sli_ext in all slave instances the max_vol value of the master indicator manually and repeat on each change
- manual override max_vol_sli_ext has higher priority than auto max_vol_sli_src when both values are assigned, when they are 0 and close respectively - SLI is disabled
- master/slave max_vol values must match on each bar at all times to maintain proper level scale, otherwise slave's levels will look larger than they should relative to the master's levels.
- Max_vol (red) is the last param in the long list of indicator outputs
- the only true max_vol/poc in this SLI mode is the master's max_vol/poc. All poc/va levels in slaves will be irrelevant and are disabled automatically. Slaves can only show VWAP levels.
- VA Levels of the master instance in this SLI mode are calculated based on the subrange, not the whole range. Cross check with the full range.
WARNING!
- auto mode max_vol_sli_src is experimental and may not work as expected
- you can only assign auto mode max_vol_sli_src = max_vol once due to some bug with unhandled exception/buffer overflow in Tradingview. Seems that you can clear the value only by removing the indicator instance
- sometimes you may see a "study in error state" error when attempting to set it back to close. Remove indicator/Reload chart and start from scratch
- volume profile may not finish to redraw and freeze in an ugly shape after an UI parameter change when max_vol_sli_src is assigned a max_vol value. Assign it to close - VP should redraw properly, but it may not clear the assigned max_vol value
- you can't seem to be able to assign a proper auto max_vol value to the 3rd slave instance
- 2x Vertical SLI works and tested in both auto/manual, 3x SLI - only manual seems to work
Notes:
- This code is 20x-30x faster (main for cycle is removed) especially on lower tfs with long history - only 2-3 sec load/redraw time vs 30-60 sec of the old Pro versions
- Instead of repeatedly calculating the total sum of volumes for the whole range on each bar, vol sums are now increased on each bar and passed to the next in the range making it a per range vs per bar calculation that reduces time dramatically
- hist_base for levels still results is ugly redraw
- if you don't see a volume profile check range settings: min_level/max_level and spacing, set spacing to 0 (or adjust accordingly based on the symbol's precision, i.e. 0.00001)
- you can view either of Buy/Sell/Total volumes, but you can't display Buy/Sell levels at the same time using a single instance (this would 2x reduce the number of levels). Use 2 indicator instances in horiz buy/sell sli mode for that.
- Volume Profile/Value Area are calculated for a given range and updated on each bar. Each level has a fixed length. Offsets control visible level parts. Side Cover hides the invisible parts.
- Custom Color for POC/VA/VWAP levels - UI Style color/transparency can only change shape's color and doesn't affect textcolor, hence this additional option
- Custom Width - UI Style supports only width <= 4, hence this additional option
- POC is visible in both modes. In VWAP mode Developing POC becomes VWAP, VA High and Low => VWAP High and Low correspondingly to minimize the number of plot outputs
- You can't change buy/sell level colors from input (only plot transparency) - this requires 2x plot outputs => 2x reduces the number of levels to fit the max 64 limit. That's why 2 additional plots are used to dim the non Value Area zones
- All buy/sell volume lengths are calculated as % of a fixed base width = 100 bars (100%). You can't set show_last from input to change it
- There's no such thing as buy/sell volume, there's just volume, but for the purposes of the Volume Profile method, assume: bull candle = buy volume, bear candle = sell volume
P.S. Gravitonium Levels Are Increasing. Unobtainium is nowhere to be found!
Links on Volume Profile and Value Area calculation and usage:
www.tradingview.com
stockcharts.com
onlinelibrary.wiley.com
"鹿岛鹿角vs福冈黄蜂" için komut dosyalarını ara
Bitfinex Margin ComparisonDisplays the RSI of Longs vs Shorts from Bitfinex for most majors ( BTC , ETH, LTC, XRP, EOS, NEO).
Displays RSI of both longs and shorts to gauge the short term momentum of both while also showing the ratio of Longs vs Shorts as the background.
Premium ComparisonScript to display futures premium/discount vs basis; uses Bitmex XBTUSD 10.99% as basis vs XBTM18 and XBTU18 futures , but these are configurable.
ST_Trend_ReversalSTRONG TREND REVERSAL INDICATOR
The code is the percentage difference between the spot price of a given financial asset and its 200-day MA of that period. My standard setup is Daily, and I think it's got very good predictive power at that timeframe.
It can be read in two ways:
1. Values extremely above or below the 200-period MA present chances of buying/selling agains the prevailing trend.
2. Values closely above or below the 200-period MA are make-or-break market periods, where a medium-term trend becomes evident. Breaks above or below the MA are associated with strong chances of directional movements. But it's not fool-proof as false breaks have become commonplace nowadays.
Other way to use it is as confirmation of breakdowns: For example, an asset that loses its 200-day MA and then can't rally above it becomes exposed to steep losses afterwards.
It's also helpful to use in volatility trading: the closer the asset goes to its MA, the lower goes implied vol, and thus better opportiunities to be long volatility on those occasions where direction is hard to predict.
STRI = close/(200dMA)
Values over 100 indicate percentage premiums of spot vs its moving average.
Values below indicate percentage discounts of spot vs its moving average.
Ersoy-intersection(Kesisme)-Update-1website: www.ersoytoptas.com
Newspaper : tr.investing.com
hi , Friends
i wanna be someone who wants to help everyone
updated my script he published some time ago.
What happened?
* intersection When ever Bar Color Yellow Be
* Alarms to be more comprehensible
* Short and Long Days Choosing a Opportunities
* Source Opportunities
All Charts Usable( Example ;15,30,60 ... vs) and ALL MARKETS ( Stocks , forex , ... vs)
i strive to improve further
Easy to get
Bar Statistics - DELTA/OI/TOTAL/BUY/SELL/LONGS/SHORTSBar Statistics - Advanced Volume & Open Interest Analysis
Overview
The Bar Statistics indicator is a comprehensive analytical tool designed to provide traders with detailed insights into market microstructure through advanced volume analysis, open interest tracking, and market flow detection. This indicator transforms complex market data into easily digestible visual information, displaying six key metrics in customizable colored boxes that update in real-time.
Unlike traditional volume indicators that only show basic volume data, this indicator combines multiple data sources to reveal the underlying forces driving price movement, including volume delta calculations from lower timeframes, open interest changes, and estimated market positioning.
What Makes This Indicator Unique
1. Multi-Timeframe Volume Delta Precision
The indicator utilizes lower timeframe data (default 1-second) to calculate highly accurate volume delta measurements, providing much more precise buy/sell pressure analysis than standard timeframe-based calculations. This approach captures intraday volume dynamics that are often missed by conventional indicators.
2. Real-Time Updates
Unlike many indicators that only update on bar completion, this tool provides live updates for the developing candle, allowing traders to see evolving market conditions as they happen.
3. Market Flow Analysis
The unique "L/S" (Long/Short) metric combines open interest changes with price/volume direction to estimate net market positioning, helping identify when participants are accumulating or distributing positions.
4. Adaptive Visual Intensity
The gradient color system automatically adjusts based on historical context, making it easy to identify when current values are significant relative to recent market activity.
5. Complete Customization
Every aspect of the display can be customized, from the order of metrics to individual color schemes, allowing traders to adapt the tool to their specific analysis needs.
6.All In One Solution
6 Metrics in one indicator no more using 5 different indicators.
Core Features Explained
DELTA (Volume Delta)
What it shows: Net difference between aggressive buy volume and aggressive sell volume
Calculation: Uses lower timeframe data to determine whether each trade was initiated by buyers or sellers
Interpretation:
Positive values indicate aggressive buying pressure
Negative values indicate aggressive selling pressure
Magnitude indicates the strength of directional pressure
OI Δ (Open Interest Change)
What it shows: Change in open interest from the previous bar
Data source: Fetches open interest data using the "_OI" symbol suffix
Interpretation:
Positive values indicate new positions entering the market
Negative values indicate positions being closed
Combined with price direction, reveals market participant behavior
L/S (Net Long/Short Bias)
What it shows: Estimated net change in long vs short market positions
Calculation method: Combines open interest changes with price/volume direction using configurable logic
Scenarios analyzed:
New Longs: Rising OI + Rising Price/Volume = Long position accumulation
Liquidated Longs: Falling OI + Falling Price/Volume = Long position exits
New Shorts: Rising OI + Falling Price/Volume = Short position accumulation
Covered Shorts: Falling OI + Rising Price/Volume = Short position exits
Result: Net bias toward long (positive) or short (negative) market sentiment
TOTAL (Total Volume)
What it shows: Standard volume for the current bar
Purpose: Provides context for other metrics and baseline activity measurement
Enhanced display: Uses gradient intensity based on recent volume history
BUY (Estimated Buy Volume)
What it shows: Estimated aggressive buy volume
Calculation: (Total Volume + Delta) / 2
Use case: Helps quantify the actual buying pressure in monetary/contract terms
SELL (Estimated Sell Volume)
What it shows: Estimated aggressive sell volume
Calculation: (Total Volume - Delta) / 2
Use case: Helps quantify the actual selling pressure in monetary/contract terms
Configuration Options
Timeframe Settings
Custom Timeframe Toggle: Enable/disable custom lower timeframe selection
Timeframe Selection: Choose the precision level for volume delta calculations
Auto-Selection Logic: Automatically selects optimal timeframe based on chart timeframe
Net Positions Calculation
Direction Method: Choose between Price-based or Volume Delta-based direction determination
Value Method: Select between Open Interest Change or Volume for position size calculations
Display Customization
Row Order: Completely customize which metrics appear and in what order (6 positions available)
Color Schemes: Individual color selection for positive/negative values of each metric
Gradient Intensity: Configurable lookback period (10-200 bars) for relative intensity calculations
Visual Elements
Box Format: Clean, professional box display with clear labels
Color Coding: Intuitive color schemes with customizable transparency gradients
Real-time Updates: Live updating for developing candles with historical stability
How to Use This Indicator
For Day Traders
Volume Confirmation: Use DELTA to confirm breakout validity - strong directional moves should show corresponding volume delta
Entry Timing: Watch for volume delta divergences at key levels to time entries
Exit Signals: Monitor when aggressive volume shifts against your position
For Swing Traders
Market Flow: Focus on the L/S metric to identify when participants are accumulating or distributing
Open Interest Analysis: Use OI Δ to confirm whether moves are backed by new money or position adjustments
Trend Validation: Combine multiple metrics to validate trend strength and sustainability
For Scalpers
Real-time Edge: Utilize the live updates to see developing imbalances before bar completion
Quick Decision Making: Focus on DELTA and BUY/SELL for immediate market pressure assessment
Volume Profile: Use TOTAL volume context for optimal entry/exit sizing
Setup Recommendations
Futures Markets: Enable OI tracking and use Volume Delta direction method
Crypto Markets: Focus on DELTA and volume metrics; OI may not be available
Stock Markets: Use Price direction method with volume value calculations
High-Frequency Analysis: Set lower timeframe to 1S for maximum precision
Technical Implementation
Data Accuracy
Utilizes TradingView's ta.requestVolumeDelta() function for precise buy/sell classification
Implements error checking for data availability
Handles missing data gracefully with fallback calculations
Performance Optimization
Efficient array management with configurable lookback periods
Smart box creation and deletion to prevent memory issues
Optimized real-time updates without historical data corruption
Compatibility
Works on all timeframes from seconds to daily
Compatible with futures, forex, crypto, and stock markets
Automatically adjusts calculation methods based on available data
Risk Disclaimers
This indicator is designed for educational and analytical purposes. It provides statistical analysis of market data but does not guarantee trading success. Users should:
Combine with other forms of analysis
Practice proper risk management
Understand that past performance doesn't predict future results
Be aware that volume delta and open interest data quality varies by market and data provider
Conclusion
The Bar Statistics indicator represents a significant advancement in retail trader access to professional-grade market analysis tools. By combining multiple data sources into a single, customizable display, it provides the depth of analysis needed for comprehensive market microstructure understanding while maintaining the simplicity required for effective decision-making.
Keyzone🔑 Keyzone Levels (KZ)
KZ3 (Light Green) → Short-term support zone
KZ8 (Dark Green) → Medium-term support / resistance zone
KZ21 (Orange) → Main decision zone, often used to confirm trend direction
KZ89 (Red) → Long-term boundary, defines strong support/resistance in Sideway markets
📌 Keyzone levels are dynamic zones that adjust as the market moves. They help identify bias (trend vs sideway) and setups such as Trap Reversal (TRS), Swing Reversal (SRS), and Snapback (SBS) in the Keyzone Master Framework.
Trades in FavorTrades in Favor Indicator
Overview
The Trades in Favor indicator is a volume-weighted momentum oscillator that helps traders identify market conditions favoring long or short positions. It analyzes the relationship between price movements and volume to determine whether buying or selling pressure is dominating the market.
How It Works
The indicator calculates the percentage of volume-weighted price movements that are bullish versus bearish over a specified lookback period. It outputs values between 0-100:
Values above 70: Short Trade Zone (bearish conditions)
Values below 30: Long Trade Zone (bullish conditions)
Values around 50: Neutral Zone (balanced conditions)
Key Features
Volume-Weighted Analysis: Incorporates volume data for more accurate momentum readings
Clear Trading Zones: Visual zones with labels for immediate context
Customizable Parameters: Adjustable calculation length and smoothing periods
Built-in Alerts: Notifications when entering different trading zones
Information Table: Real-time display of current readings and percentages
Parameters
Calculation Length (20): Number of bars for momentum calculation
Smoothing Period (5): Moving average smoothing for cleaner signals
Short Trade Zone (70): Upper threshold for short trade conditions
Long Trade Zone (30): Lower threshold for long trade conditions
Trading Applications
Trend Confirmation: Validate trend direction with volume-backed momentum
Entry Timing: Identify optimal entry points in respective trade zones
Market Sentiment: Gauge overall buying vs selling pressure
Risk Management: Avoid trades against dominant market flow
Visual Elements
White oscillator line with clear zone boundaries
Background coloring in extreme zones
On-chart labels for immediate context
Information table showing current percentages
Customizable alert conditions
Best Practices
Use in conjunction with other technical analysis tools
Consider multiple timeframes for confirmation
Pay attention to volume spikes in extreme zones
Watch for divergences between price and the indicator
Perfect for swing traders, day traders, and anyone looking to align their trades with volume-backed market momentum.
BB + OBV + RSI Strategy (Enhanced + Daily Table) Script Brief – *BB + OBV + RSI Strategy (Enhanced + Daily Table)*
This TradingView Pine Script combines **Bollinger Bands (BB)**, **On-Balance Volume (OBV)**, **Relative Strength Index (RSI)**, and **Exponential Moving Average (EMA)** to help traders identify potential trend conditions and market strength.
**Key Features:**
* **Bollinger Bands** (20-period SMA ± 2 Std Dev by default) to track volatility and price extremes.
* **OBV & OBV Moving Average** to confirm buying or selling pressure.
* **RSI** to highlight overbought and oversold zones.
* **200 EMA** as a long-term trend filter.
* **Daily Comparison Table** (top-right corner):
* Displays today’s vs. yesterday’s values for Close, RSI, OBV vs MA, BB Position, and EMA Trend.
* Helps quickly assess whether momentum and trend conditions are strengthening or weakening.
**Usage:**
* The chart shows **BB lines and EMA** for real-time analysis on any timeframe.
* The **table provides higher-timeframe context** (daily values), making it easier to confirm signals across multiple timeframes.
* Best applied with backtesting and proper risk management.
[delta2win] ShockSentinel Early Warnings🚀 ShockSentinel Early Warnings — Advanced Multi-Symbol Shock Detection System
📊 UNIQUE METHODOLOGY:
This indicator implements a proprietary concordance-based shock detection system that goes beyond simple price movement analysis. Unlike basic pump/dump detectors, it uses a sophisticated multi-symbol correlation algorithm to validate signals across multiple assets simultaneously, significantly reducing false positives while maintaining sensitivity to genuine market shocks.
🔬 TECHNICAL APPROACH:
• Adaptive Threshold System: Automatically adjusts detection sensitivity based on timeframe using proprietary scaling algorithms:
- 1m: 0.5% threshold (ultra-sensitive for scalping)
- 3m: 1.0% threshold (high-frequency trading)
- 5m: 2.0% threshold (short-term momentum)
- 15m: 3.0% threshold (intraday swings)
- 1h: 6.0% threshold (daily moves)
- 4h+: 10.0% threshold (swing trading)
• Dual Detection Modes:
- Percent Mode: Calculates maximum percentage change within configurable lookback window (1-6 bars) using the formula: max(|(close - close ) / close * 100|) for i = 1 to window
- ATR-Normalized Mode: Uses Average True Range for volatility-adjusted detection across different market regimes: max(|close - close | / ATR) for i = 1 to window
• Concordance Algorithm: Proprietary multi-symbol validation system that requires minimum correlation count across up to 4 additional symbols, ensuring signals are validated by market-wide participation rather than isolated price movements
• Non-Repainting Architecture: Optional bar-close confirmation prevents false signals from intraday noise while maintaining real-time alert capability for immediate response
🎯 MATHEMATICAL FOUNDATION:
The core algorithm implements a sliding window maximum change detection:
Percent Change Calculation:
For each bar, the system calculates the maximum absolute percentage change over the specified window:
- PctChange = (close - close ) / close * 100
- MaxPct = max(|PctChange |) for i = 1 to window
- Signal triggers when MaxPct >= threshold
ATR-Normalized Calculation:
For volatility-adjusted detection:
- ATRChange = (close - close ) / ATR
- MaxATR = max(|ATRChange |) for i = 1 to window
- Signal triggers when MaxATR >= ATR_multiplier
Concordance Validation:
- Requires minimum N symbols showing same directional movement
- Validates signal strength through market participation
- Reduces false signals from isolated price movements
- Improves signal quality through correlation analysis
⚙️ ADVANCED FEATURES:
• Preset System: 7 pre-configured strategies with optimized parameters:
- Scalp (Ultra-Fast): 0.6x scaling, 2-bar window, real-time alerts
- Aggressive: 0.7x scaling, 2-bar window, real-time alerts
- Balanced: 1.0x scaling, 3-bar window, confirmed signals
- Conservative: 1.3x scaling, 4-bar window, confirmed signals
- Volatility-Adaptive: ATR mode, 7-period ATR, 2.5x multiplier
- Momentum (Intraday): ATR mode, 10-period ATR, 2.0x multiplier
- Swing (Slow): ATR mode, 14-period ATR, 2.8x multiplier
• Real-time vs Confirmed: Choose between immediate alerts or bar-close confirmation
• Visual Analytics: Integrated signal history table with concordance gauges and performance metrics
• Professional Alerts: Multi-format alert system (Compact, Extended, Plain, CSV) with Telegram integration and customizable messaging
💡 UNIQUE VALUE PROPOSITION:
Unlike simple price change detectors, this system provides:
1. Multi-Symbol Validation: Validates signals across multiple correlated assets, ensuring market-wide participation
2. Adaptive Thresholds: Automatically adjusts sensitivity based on timeframe and market conditions
3. Dual Signal Types: Provides both real-time and confirmed signal options for different trading styles
4. Comprehensive Analytics: Includes signal history, concordance gauges, and performance tracking
5. Advanced Concordance: Uses sophisticated correlation algorithms for signal validation
6. Professional Integration: Built-in Telegram support with customizable message formats
🔧 USAGE INSTRUCTIONS:
1. Select Preset: Choose appropriate strategy for your trading style and timeframe
2. Configure Symbols: Add up to 4 additional symbols for concordance validation
3. Set Concordance: Adjust minimum count (higher = more selective, lower = more sensitive)
4. Choose Mode: Select between real-time or confirmed signals based on your risk tolerance
5. Enable Alerts: Configure notification preferences and message formats
6. Monitor Performance: Use integrated tables to track signal quality and concordance
📈 PERFORMANCE CHARACTERISTICS:
• Optimized for Crypto: Designed specifically for high-volatility cryptocurrency markets
• Multi-Timeframe: Effective across all timeframes from 1-minute to 4-hour charts
• False Signal Reduction: Multi-symbol validation significantly reduces false positives
• Flexible Sensitivity: Adjustable thresholds allow customization for different market conditions
• Real-time Capability: Provides immediate alerts for fast-moving markets
• Confirmation Option: Bar-close confirmation for conservative trading approaches
⚠️ TECHNICAL CONSIDERATIONS:
• Real-time Mode: May generate multiple alerts per bar; use cooldown settings to manage frequency
• Data Dependencies: Concordance requires data availability for all configured symbols
• Market Regimes: ATR mode provides better performance in varying volatility conditions
• Signal Quality: Higher concordance requirements reduce false signals but may miss opportunities
• Latency: request.security calls depend on data provider latency and availability
🎯 TARGET MARKETS:
• Cryptocurrency Trading: High-volatility crypto markets with frequent shock events
• Scalping: Short-term trading strategies requiring immediate signal detection
• Swing Trading: Medium-term strategies benefiting from confirmed signals
• Portfolio Management: Multi-asset correlation analysis for risk management
• Algorithmic Trading: Systematic strategies requiring reliable signal validation
📊 SIGNAL INTERPRETATION:
• Green Arrows (Pump): Upward price shock with sufficient concordance
• Red Arrows (Dump): Downward price shock with sufficient concordance
• Large Markers: Confirmed signals with high concordance
• Small Markers: Early signals with lower concordance
• Background Colors: Visual intensity based on concordance strength
• Tables: Historical signal tracking with performance metrics
Volume Pressure Arrows[Blk0ut]Volume Pressure Arrows are an innovative (I think) market pressure tool designed to cut through noise and provide traders with a realistic, but quick insight into buying vs selling pressure and which has real control. Rather than relying on any single classic indicator, this script blends five complementary measures of price–volume dynamics—Cumulative Volume Delta (CVD), VWAP distance, OBV slope, ATR expansion, and the DMI ratio—into a unified “pressure score.”
Each component is normalized, weighted, and combined into a single metric that can be read at a glance through intuitive up and down arrows plotted directly on the chart. By transforming multiple complex data streams into a single aggregated signal, Volume Pressure Arrows help traders answer some of the hardest questions we can face: is the current move backed by conviction? is there true momentum? Is price action about to reverse?
Why It’s Different
Traditional oscillators often create conflicting signals, forcing traders to guess which one to trust. This indicator integrates five perspectives on volume and momentum pressure into a single framework, balancing raw flow (CVD), relative positioning (VWAP), trend conviction (OBV slope), volatility expansion (ATR), and directional bias (DMI). The result is a weighted, probability-minded score capped between -100 and +100 for consistency and clarity.
Important note : Inspiration for the use of directly plotted arrows came from dgtrd "https://www.tradingview.com/u/dgtrd/" and their brilliant work on LazyBear's Squeeze Indicator "https://www.tradingview.com/script/Dsr7B2xE-Squeeze-Momentum-Indicator-LazyBear-vX-by-DGT/"
How to Read It
Bullish Arrows appear below the candles when the pressure score pushes above the neutral threshold, signaling meaningful buyer dominance.
Bearish Arrows appear above the candles when pressure drops below the negative threshold, indicating strong selling pressure.
Neutral Arrows (smaller, faded) mark conditions where pressure exists but is not decisive—useful for spotting early rotations or fading momentum.
Color Gradients dynamically adjust with score intensity, making stronger signals visually brighter and weaker ones softer.
How to Use It Effectively
This tool is best applied as a confirmation and timing layer. It is not meant to replace your core strategy, but to validate whether momentum pressure supports your trade thesis.
Combine with trendlines, chart patterns, or breakouts to gauge conviction.
Use bullish or bearish arrows as filters, only take trades when price action aligns with strong directional pressure.
Watch neutral arrows near key levels; they often foreshadow balance breaking into directional moves.
Adjust the weightings to emphasize the components that matter most to your style (e.g., more weight on CVD for scalpers, or ATR expansion for volatility traders).
As with any indicator, this is not a magic ball and does not guarantee success. But it does allow you to increase the probability odds to your favor if you align it with your edge. Happy trading!
Extremum Range MA Crossover Strategy1. Principle of Work & Strategy Logic ⚙️📈
Main idea: The strategy tries to catch the moment of a breakout from a price consolidation range (flat) and the start of a new trend. It combines two key elements:
Moving Average (MA) 📉: Acts as a dynamic support/resistance level and trend filter.
Range Extremes (Range High/Low) 🔺🔻: Define the borders of the recent price channel or consolidation.
The strategy does not attempt to catch absolute tops and bottoms. Instead, it enters an already formed move after the breakout, expecting continuation.
Type: Trend-following, momentum-based.
Timeframes: Works on different TFs (H1, H4, D), but best suited for H4 and higher, where breakouts are more meaningful.
2. Justification of Indicators & Settings ⚙️
A. Moving Average (MA) 📊
Why used: Core of the strategy. It smooths price fluctuations and helps define the trend. The price (via extremes) must cross the MA → signals a potential trend shift or strengthening.
Parameters:
maLength = 20: Default length (≈ one trading month, 20-21 days). Good balance between sensitivity & smoothing.
Lower TF → reduce (10–14).
Higher TF → increase (50).
maSource: Defines price source (default = Close). Alternatives (HL2, HLC3) → smoother, less noisy MA.
maType: Default = EMA (Exponential MA).
Why EMA? Faster reaction to recent price changes vs SMA → useful for breakout strategies.
Other options:
SMA 🟦 – classic, slowest.
WMA 🟨 – weights recent data stronger.
HMA 🟩 – near-zero lag, but “nervous,” more false signals.
DEMA/TEMA 🟧 – even faster & more sensitive than EMA.
VWMA 🔊 – volume-weighted.
ZLEMA ⏱ – reduced lag.
👉 Choice = tradeoff between speed of reaction & false signals.
B. Range Extremes (Previous High/Low) 📏
Why used: Define borders of recent trading range.
prevHigh = local resistance.
prevLow = local support.
Break of these levels on close = trigger.
Parameters:
lookbackPeriod = 5: Searches for highest high / lowest low of last 5 candles. Very recent range.
Higher value (10–20) → wider, stronger ranges but rarer signals.
3. Entry & Exit Rules 🎯
Long signals (BUY) 🟢📈
Condition (longCondition): Previous Low crosses MA from below upwards.
→ Price bounced from the bottom & strong enough to push range border above MA.
Execution: Auto-close short (if any) → open long.
Short signals (SELL) 🔴📉
Condition (shortCondition): Previous High crosses MA from above downwards.
→ Price rejected from the top, upper border failed above MA.
Execution: Auto-close long (if any) → open short.
Exit conditions 🚪
Exit Long (exitLongCondition): Close below prevLow.
→ Uptrend likely ended, range shifts down.
Exit Short (exitShortCondition): Close above prevHigh.
→ Downtrend likely ended, range shifts up.
⚠️ Important: Exit = only on candle close beyond extremes (not just wick).
4. Trading Settings ⚒️
overlay = true → indicators shown on chart.
initial_capital = 10000 💵.
default_qty_type = strategy.cash, default_qty_value = 100 → trades fixed $100 per order (not lots). Can switch to % of equity.
commission_type = strategy.commission.percent, commission_value = 0.1 → default broker fee = 0.1%. Adjust for your broker!
slippage = 3 → slippage = 3 ticks. Adjust to asset liquidity.
currency = USD.
margin_long = 100, margin_short = 100 → no leverage (100% margin).
5. Visualization on Chart 📊
The strategy draws 3 lines:
🔵 MA line (thickness 2).
🔴 Previous High (last N candles).
🟢 Previous Low (last N candles).
Also: entry/exit arrows & equity curve shown in backtest.
Disclaimer ⚠️📌
Risk Warning: This description & code are for educational purposes only. Not financial advice. Trading (Forex, Stocks, Crypto) carries high risk and may lead to full capital loss. You trade at your own risk.
Testing: Always backtest & demo test first. Past results ≠ future profits.
Responsibility: Author of this strategy & description is not responsible for your trading decisions or losses.
Piano Frequency LevelsPiano Frequency Levels
This indicator applies the mathematical principles of musical harmony to market analysis, creating support and resistance levels based on authentic piano frequency ratios. Drawing from centuries-old musical theory, it maps the precise mathematical relationships between piano keys to price levels.
How It Works: The indicator uses the exact frequency ratios from equal temperament tuning - the same mathematical system that makes pianos sound harmonious. Each level represents an actual piano key frequency, scaled proportionally to your chosen anchor price.
Key Features:
• Piano-Based Ratios: Uses authentic 12-tone equal temperament frequency relationships (1.05946 ratio between semitones)
• Directional Intelligence: Automatically creates ascending levels from lows (resistance) or descending levels from highs (support)
• Musical Note Labels: Optional display of actual piano key names (C4, D#5, F6, etc.) alongside price levels
• Black Key Subdivisions: Toggle authentic sharp/flat keys between natural notes for additional precision
• Octave Color Coding: Each musical octave displays in a different color for easy visual identification
• Anchor Reference: Bright green line clearly marks your C-note reference point
Musical Foundation: Every level corresponds to an actual piano key. The anchor point represents "C" (the musical root), with levels progressing through the natural musical sequence: C, D, E, F, G, A, B, then repeating in higher octaves. This creates proportional spacing that mirrors the harmonic relationships musicians have used for centuries.
Usage:
1. Set your anchor to a significant market high or low
2. Choose your desired number of levels (typically 12-24 for 1-2 octaves)
3. Enable "Add Black Keys" for additional intermediate levels
4. Enable "Show Note Names" to see which piano key each level represents
The Theory: Musical harmony is based on precise mathematical ratios that create pleasing relationships between frequencies. These same mathematical principles may manifest in market movements, as price action often exhibits proportional relationships similar to musical intervals.
Unique Advantages:
• Based on established mathematical principles rather than arbitrary ratios
• Provides both major levels (white keys) and intermediate levels (black keys)
• Automatically adapts direction based on anchor type (high vs low)
• Maintains authentic musical relationships across all timeframes and price ranges
Important Note: This indicator presents a theoretical framework for market analysis. Like all technical analysis tools, it should be used in conjunction with other forms of analysis and proper risk management. The musical ratios provide a unique perspective on potential support and resistance levels, but past performance does not guarantee future results.
Transform your charts into a musical instrument and discover the hidden harmonies in market movements.
USD vs USDT Perp PremiumPerp Premiu. An indicator that analyzes the differences betweenvarious crypto price oracles
Advanced Trading Dashboard📊 Advanced Trading Dashboard - Multi-Indicator Analysis Tool
Comprehensive Market Analysis at a Glance
This professional trading dashboard consolidates multiple technical indicators into a single, easy-to-read overlay table that provides instant market insights for informed trading decisions.
✨ Key Features:
📈 Multi-Indicator Analysis:
Real-time Price Action vs EMA8 with percentage strength
RSI momentum with overbought/oversold signals
MACD trend confirmation with bullish/bearish status
Multi-timeframe trend analysis (EMA50/200 + Supertrend)
Volume analysis with ratio to moving average
Bollinger Bands positioning with band width metrics
ATR volatility measurements with percentage levels
Stochastic oscillator for entry/exit timing
🎯 Advanced Market Intelligence:
Automated Market Structure detection (Higher Highs/Lower Lows)
Dynamic Support & Resistance level identification
Smart Overall Signal generation based on 5+ confluence factors
Color-coded status indicators for quick visual assessment
⚙️ Customization Options:
Repositionable dashboard (6 position options)
Toggle visibility on/off
Clean, professional interface with intuitive color coding
💡 Perfect For:
Day traders seeking quick market assessment
Swing traders analyzing trend strength
Multi-timeframe analysis confirmation
Risk management and volatility assessment
Entry/exit signal confluence
The dashboard eliminates the need to switch between multiple indicators, providing all essential market data in one consolidated view. Each metric includes both numerical values and interpretive status, making it suitable for both novice and experienced traders.
Compatible with all markets and timeframes. Best used as a supplementary analysis tool alongside your existing trading strategy.
Info Panel (RSI, ADX, Volume,EMA, Delta)📊 Info Panel PRO — All-in-One Trader Dashboard
Simplify market analysis at a glance.
This powerful indicator displays key market metrics in a compact, customizable table directly overlaid on your chart — ideal for day trading, scalping, and swing trading strategies.
🔍 What’s Included:
✅ RSI (Relative Strength Index) — Measures overbought/oversold conditions.
✅ ADX (Average Directional Index) — Gauges trend strength (>25 = strong trend).
✅ Price vs 200 EMA on 4H timeframe — Strategic support/resistance level for multi-timeframe context.
✅ Current Bar Volume — Color-coded to reflect bullish/bearish sentiment.
✅ Volume Delta — Net buying/selling pressure on your chosen timeframe (default: 1 minute).
✅ CVD (Cumulative Volume Delta) — Daily running total of delta, resets each new trading day.
⚙️ Fully Customizable Settings:
Adjustable lengths for RSI, ADX, and EMA.
Select delta calculation timeframe — lower = more granular (e.g., “1” for 1-minute precision).
Table position: top/bottom left/right corners.
Color themes: Customize bullish, bearish, and neutral colors to match your style.
💡 Who Is This For?
Scalpers & Day Traders needing real-time market context without clutter.
Swing & Position Traders monitoring higher-timeframe structure and momentum.
Order Flow & Volume Analysts tracking buyer/seller imbalance via delta and CVD.
Beginners learning to read markets through consolidated, intuitive indicators.
🎯 Key Benefits:
✅ Clean, minimalist UI — stays out of your way while delivering critical data.
✅ Auto-formatting for large numbers (K, M, B) — easy readability.
✅ Visual cues (arrows, color coding) for instant decision-making.
✅ Works across all markets: Forex, Stocks, Crypto, Futures.
📌 How to Use:
Add the indicator to your chart.
Tweak settings to fit your trading style.
Monitor real-time updates — all essential metrics visible in one place.
Combine with other strategies (price action, S/R, VWAP) for signal confirmation.
📌 Pro Tip: For maximum edge, pair Info Panel PRO with liquidity zones, VWAP, or Market Profile tools.
📈 Trade smarter — let the market speak to you in clear, actionable terms.
Author:
Version: 1.0
Language: Pine Script v5
Overlay: Yes (draws directly on price chart)
😄
“If this indicator were a person, they’d be called ‘The One Who Knows Everything… But Never Gives Unsolicited Advice.’
…Unlike your ‘friend’ who yells ‘BUY!’ five minutes before the market crashes.”
“A good trader isn’t the one who predicts the market.
It’s the one who has everything on their chart — coffee optional.
…Want the next indicator? Comment ‘YES’ below — and I’ll build you ‘Smart Alert PRO’ or ‘Volume Sniper’ next.”
P.S. If this script saves even ONE trade — hit 👍.
If it saves TWO — comment “THANK YOU” 🙏
If it saves THREE — expect “Volume Heatmap PRO” next week 😉🔥
FiniteStateMachine🟩 OVERVIEW
A flexible framework for creating, testing and implementing a Finite State Machine (FSM) in your script. FSMs use rules to control how states change in response to events.
This is the first Finite State Machine library on TradingView and it's quite a different way to think about your script's logic. Advantages of using this vs hardcoding all your logic include:
• Explicit logic : You can see all rules easily side-by-side.
• Validation : Tables show your rules and validation results right on the chart.
• Dual approach : Simple matrix for straightforward transitions; map implementation for concurrent scenarios. You can combine them for complex needs.
• Type safety : Shows how to use enums for robustness while maintaining string compatibility.
• Real-world examples : Includes both conceptual (traffic lights) and practical (trading strategy) demonstrations.
• Priority control : Explicit control over which rules take precedence when multiple conditions are met.
• Wildcard system : Flexible pattern matching for states and events.
The library seems complex, but it's not really. Your conditions, events, and their potential interactions are complex. The FSM makes them all explicit, which is some work. However, like all "good" pain in life, this is front-loaded, and *saves* pain later, in the form of unintended interactions and bugs that are very hard to find and fix.
🟩 SIMPLE FSM (MATRIX-BASED)
The simple FSM uses a matrix to define transition rules with the structure: state > event > state. We look up the current state, check if the event in that row matches, and if it does, output the resulting state.
Each row in the matrix defines one rule, and the first matching row, counting from the top down, is applied.
A limitation of this method is that you can supply only ONE event.
You can design layered rules using widlcards. Use an empty string "" or the special string "ANY" for any state or event wildcard.
The matrix FSM is foruse where you have clear, sequential state transitions triggered by single events. Think traffic lights, or any logic where only one thing can happen at a time.
The demo for this FSM is of traffic lights.
🟩 CONCURRENT FSM (MAP-BASED)
The map FSM uses a more complex structure where each state is a key in the map, and its value is an array of event rules. Each rule maps a named condition to an output (event or next state).
This FSM can handle multiple conditions simultaneously. Rules added first have higher priority.
Adding more rules to existing states combines the entries in the map (if you use the supplied helper function) rather than overwriting them.
This FSM is for more complex scenarios where multiple conditions can be true simultaneously, and you need to control which takes precedence. Like trading strategies, or any system with concurrent conditions.
The demo for this FSM is a trading strategy.
🟩 HOW TO USE
Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the function you want.
For example, for version 1 of this library, import it like this:
import SimpleCryptoLife/FiniteStateMachine/1
See the EXAMPLE USAGE sections within the library for examples of calling the functions.
For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual.
🟩 TECHNICAL IMPLEMENTATION
Both FSM implementations support wildcards using blank strings "" or the special string "ANY". Wildcards match in this priority order:
• Exact state + exact event match
• Exact state + empty event (event wildcard)
• Empty state + exact event (state wildcard)
• Empty state + empty event (full wildcard)
When multiple rules match the same state + event combination, the FIRST rule encountered takes priority. In the matrix FSM, this means row order determines priority. In the map FSM, it's the order you add rules to each state.
The library uses user-defined types for the map FSM:
• o_eventRule : Maps a condition name to an output
• o_eventRuleWrapper : Wraps an array of rules (since maps can't contain arrays directly)
Everything uses strings for maximum library compatibility, though the examples show how to use enums for type safety by converting them to strings.
Unlike normal maps where adding a duplicate key overwrites the value, this library's `m_addRuleToEventMap()` method *combines* rules, making it intuitive to build rule sets without breaking them.
🟩 VALIDATION & ERROR HANDLING
The library includes comprehensive validation functions that catch common FSM design errors:
Error detection:
• Empty next states
• Invalid states not in the states array
• Duplicate rules
• Conflicting transitions
• Unreachable states (no entry/exit rules)
Warning detection:
• Redundant wildcards
• Empty states/events (potential unintended wildcards)
• Duplicate conditions within states
You can display validation results in tables on the chart, with tooltips providing detailed explanations. The helper functions to display the tables are exported so you can call them from your own script.
🟩 PRACTICAL EXAMPLES
The library includes four comprehensive demos:
Traffic Light Demo (Simple FSM) : Uses the matrix FSM to cycle through traffic light states (red → red+amber → green → amber → red) with timer events. Includes pseudo-random "break" events and repair logic to demonstrate wildcards and priority handling.
Trading Strategy Demo (Concurrent FSM) : Implements a realistic long-only trading strategy using BOTH FSM types:
• Map FSM converts multiple technical conditions (EMA crosses, gaps, fractals, RSI) into prioritised events
• Matrix FSM handles state transitions (idle → setup → entry → position → exit → re-entry)
• Includes position management, stop losses, and re-entry logic
Error Demonstrations : Both FSM types include error demos with intentionally malformed rules to showcase the validation system's capabilities.
🟩 BRING ON THE FUNCTIONS
f_printFSMMatrix(_mat_rules, _a_states, _tablePosition)
Prints a table of states and rules to the specified position on the chart. Works only with the matrix-based FSM.
Parameters:
_mat_rules (matrix)
_a_states (array)
_tablePosition (simple string)
Returns: The table of states and rules.
method m_loadMatrixRulesFromText(_mat_rules, _rulesText)
Loads rules into a rules matrix from a multiline string where each line is of the form "current state | event | next state" (ignores empty lines and trims whitespace).
This is the most human-readable way to define rules because it's a visually aligned, table-like format.
Namespace types: matrix
Parameters:
_mat_rules (matrix)
_rulesText (string)
Returns: No explicit return. The matrix is modified as a side-effect.
method m_addRuleToMatrix(_mat_rules, _currentState, _event, _nextState)
Adds a single rule to the rules matrix. This can also be quite readble if you use short variable names and careful spacing.
Namespace types: matrix
Parameters:
_mat_rules (matrix)
_currentState (string)
_event (string)
_nextState (string)
Returns: No explicit return. The matrix is modified as a side-effect.
method m_validateRulesMatrix(_mat_rules, _a_states, _showTable, _tablePosition)
Validates a rules matrix and a states array to check that they are well formed. Works only with the matrix-based FSM.
Checks: matrix has exactly 3 columns; no empty next states; all states defined in array; no duplicate states; no duplicate rules; all states have entry/exit rules; no conflicting transitions; no redundant wildcards. To avoid slowing down the script unnecessarily, call this method once (perhaps using `barstate.isfirst`), when the rules and states are ready.
Namespace types: matrix
Parameters:
_mat_rules (matrix)
_a_states (array)
_showTable (bool)
_tablePosition (simple string)
Returns: `true` if the rules and states are valid; `false` if errors or warnings exist.
method m_getStateFromMatrix(_mat_rules, _currentState, _event, _strictInput, _strictTransitions)
Returns the next state based on the current state and event, or `na` if no matching transition is found. Empty (not na) entries are treated as wildcards if `strictInput` is false.
Priority: exact match > event wildcard > state wildcard > full wildcard.
Namespace types: matrix
Parameters:
_mat_rules (matrix)
_currentState (string)
_event (string)
_strictInput (bool)
_strictTransitions (bool)
Returns: The next state or `na`.
method m_addRuleToEventMap(_map_eventRules, _state, _condName, _output)
Adds a single event rule to the event rules map. If the state key already exists, appends the new rule to the existing array (if different). If the state key doesn't exist, creates a new entry.
Namespace types: map
Parameters:
_map_eventRules (map)
_state (string)
_condName (string)
_output (string)
Returns: No explicit return. The map is modified as a side-effect.
method m_addEventRulesToMapFromText(_map_eventRules, _configText)
Loads event rules from a multiline text string into a map structure.
Format: "state | condName > output | condName > output | ..." . Pairs are ordered by priority. You can have multiple rules on the same line for one state.
Supports wildcards: Use an empty string ("") or the special string "ANY" for state or condName to create wildcard rules.
Examples: " | condName > output" (state wildcard), "state | > output" (condition wildcard), " | > output" (full wildcard).
Splits lines by \n, extracts state as key, creates/appends to array with new o_eventRule(condName, output).
Call once, e.g., on barstate.isfirst for best performance.
Namespace types: map
Parameters:
_map_eventRules (map)
_configText (string)
Returns: No explicit return. The map is modified as a side-effect.
f_printFSMMap(_map_eventRules, _a_states, _tablePosition)
Prints a table of map-based event rules to the specified position on the chart.
Parameters:
_map_eventRules (map)
_a_states (array)
_tablePosition (simple string)
Returns: The table of map-based event rules.
method m_validateEventRulesMap(_map_eventRules, _a_states, _a_validEvents, _showTable, _tablePosition)
Validates an event rules map to check that it's well formed.
Checks: map is not empty; wrappers contain non-empty arrays; no duplicate condition names per state; no empty fields in o_eventRule objects; optionally validates outputs against matrix events.
NOTE: Both "" and "ANY" are treated identically as wildcards for both states and conditions.
To avoid slowing down the script unnecessarily, call this method once (perhaps using `barstate.isfirst`), when the map is ready.
Namespace types: map
Parameters:
_map_eventRules (map)
_a_states (array)
_a_validEvents (array)
_showTable (bool)
_tablePosition (simple string)
Returns: `true` if the event rules map is valid; `false` if errors or warnings exist.
method m_getEventFromConditionsMap(_currentState, _a_activeConditions, _map_eventRules)
Returns a single event or state string based on the current state and active conditions.
Uses a map of event rules where rules are pre-sorted by implicit priority via load order.
Supports wildcards using empty string ("") or "ANY" for flexible rule matching.
Priority: exact match > condition wildcard > state wildcard > full wildcard.
Namespace types: series string, simple string, input string, const string
Parameters:
_currentState (string)
_a_activeConditions (array)
_map_eventRules (map)
Returns: The output string (event or state) for the first matching condition, or na if no match found.
o_eventRule
o_eventRule defines a condition-to-output mapping for the concurrent FSM.
Fields:
condName (series string) : The name of the condition to check.
output (series string) : The output (event or state) when the condition is true.
o_eventRuleWrapper
o_eventRuleWrapper wraps an array of o_eventRule for use as map values (maps cannot contain collections directly).
Fields:
a_rules (array) : Array of o_eventRule objects for a specific state.
Phoenix Pattern Scanner v1.3.2 - Multi-Pattern, Score & PresetsAdvanced multi-pattern scanner with intelligent presets and heuristic scoring system.
🎯 KEY FEATURES
- 5 Trading Style Presets: Conservative, Balanced, Aggressive, Swing, Scalp
- 4 Core Patterns: RVOL (unusual volume), Momentum breakout, RSI bounce, Gap & Go
- Heuristic Score (0-100): Visual ranking system for signal quality
- Per-Pattern Anti-Noise: Prevents signal spam with configurable minimum distance
- Relative Strength %: Compare performance vs benchmark (default SPY)
- Squeeze Detection: Identifies low volatility compression (BB inside Keltner)
📊 SMART FILTERS
- Minimum price and average dollar volume gates
- Weekly trend confirmation (optional)
- Separate lookback periods for each pattern
- Configurable RSI length and Gap parameters
⚙️ CUSTOMIZATION
- All parameters adjustable via settings
- Toggle individual components on/off
- Clean info panel with real-time metrics
- Color-coded score visualization
📍 BEST USED ON
- Daily timeframe (primary design)
- Liquid stocks above $5
- As a screening tool alongside your analysis
⚠️ IMPORTANT NOTES
- Educational/informational tool only
- NOT financial advice or trade signals
- Heuristic score is diagnostic, not predictive
- Past pattern behavior ≠ future results
💡 QUICK START
1. Select a preset matching your style
2. Adjust filters for your market
3. Set alerts for patterns you want to track
4. Use score as relative ranking, not absolute signal
Version 1.3.2 - Stable release
Open source - Free to use and modify
Feedback and improvements welcome
RMA Smoothed RSIRMA Smoothed RSI
Description:
An enhanced RSI built for cleaner intraday and swing reads. It applies RMA smoothing to damp noise.
How It Works
RSI (RMA-Smoothed):
Computes classic RSI from price changes and smooths the result with an additional RMA (user-controlled 3–7, where 5 is the sweet spot). This reduces whipsaw while preserving shifts in momentum.
How to Interpret
50 Midline = Bias Filter: Above 50 favors strength; below 50 favors weakness.
RSI vs RSI-MA Crosses: Cross up can precede thrust or mean-revert toward 50; cross down the opposite.
Inputs
Length: RSI period (default 14).
Source: Price source for RSI (default Close).
Smoothing: RMA smoothing length on RSI (3–7; default 3; 5 sweet spot).
Calculate Divergence: Toggle to compute pivots/divergences and enable alerts.
Moving Average Type: None, SMA, EMA, WMA, VWMA (default EMA).
MA Length: Length of the RSI-based MA (separate from RSI length).
Best For
Traders who want a cleaner RSI read without losing responsiveness.
Scalpers timing momentum shifts around the 50 line and MA crosses.
Swing traders using divergences as early reversal context.
Pro Tips
For fast intraday charts, start with Length 14, Smoothing 3–5, and EMA as the RSI-MA.
Use 50 reclaims/rejections as a simple regime filter.
Combine divergence labels with volume surges, key S/R, or volatility tools (e.g., BBW/TTM squeeze) to time entries.
Divergence alerts fire only if Calculate Divergence is enabled—keep it on if you rely on signals.
Triple-EMA Cloud (3× configurable EMAs + timeframe + fill)About This Script
Name: Triple-EMA Cloud (3× configurable EMAs + timeframe + fill)
What it does:
The script plots three Exponential Moving Averages (EMAs) on your chart.
You can set each EMA’s length (how many bars or days it averages over), source (for example, closing price, opening price, or the midpoint of high + low), and timeframe (you can have one EMA use daily data, another hourly data, etc.).
The indicator draws a “cloud” or channel by shading the area between the outermost two EMAs of the three. This lets you see a band or zone that the price is moving in, defined by those EMAs.
You also get full control over how each of the three EMA‐lines looks: color, thickness, transparency, and plot style (solid line, steps, circles, etc.).
How to Use It (for Beginners)
Here’s how a trader who’s new to charts can use this tool, especially when looking for pullbacks or undercut price action.
Key Concepts
Trend: Imagine the market price is generally going up or down. EMAs are a way to smooth out price movements so you can see the trend more clearly.
Pullback: When a price has been going up (an uptrend), sometimes it dips down a little before going up again. That dip is the pullback. It’s a chance to enter or add to a position at a “better price.”
Undercut: This is when price drops below an important level (for example an EMA) and then comes back up. It looks like it broke below, but then it recovers. That may show reverse pressure or strength building.
How the Script Helps With Pullbacks & Undercuts
Marking Trend Zones with the Cloud
The cloud between the outer EMA lines gives you a zone of expected support/resistance. If the price is above the cloud, that zone can act like a “floor” in uptrends; if it is below, the cloud might act like a “ceiling” in downtrends.
Watching Price vs the EMAs
If the price pulls back toward the cloud (or toward one of the EMAs) and then bounces back up, that’s a signal that the uptrend might continue.
If the price undercuts (goes a bit below) one of the EMAs or the cloud and then returns above it, that can also be a signal. It suggests that even though there was a temporary drop, buyers stepped in.
Using the Three EMAs for Confirmation
Because the script uses three EMAs, you can see how tightly or loosely they are spaced.
If all three EMAs are broadly aligned (for example, in an uptrend: shorter length above longer length, each pulling from reliable price source), that gives more confidence in trend strength.
If the middle EMA (or different source/timeframe) is holding up as support while others are above, it strengthens signal.
Entry & Exit Points
Entry: For example, after a pullback toward the cloud or “mid‐EMA”, wait for price to show a bounce up. That could be a better entry than buying at the top.
Stop Loss / Risk: You might place a stop loss just below the cloud or the lowest of your selected EMAs so that if price breaks through, the idea is invalidated.
Profit Target: Could be a recent high, resistance level, or a fixed reward-risk multiple (for example aiming to make twice what you risked).
Practical Steps for New Traders
Set up the EMAs
Choose simple lengths like 10, 21, 50.
For example, EMA #1 = length 10, source Close, timeframe “current chart”; EMA #2 = length 21, source (H+L)/2; EMA #3 = length 50, maybe timeframe daily.
Observe the Price Action
When price moves up, then dips, see if it comes back near the shaded cloud or one of the EMAs.
See if the dip touches the EMAs lightly (not a big drop) and then price starts climbing again.
Look for undercuts
If price briefly goes below a line (or below cloud) and then closes back above, that’s undercut + recovery. That bounce back is often meaningful.
Manage risk
Only put in money you can afford to lose.
Use small position size until you get comfortable.
Use stop-loss (as mentioned) in case the price doesn’t bounce as expected.
Practice
Put this indicator on charts (stocks you follow) in past time periods. See how price behaved with pullbacks / undercuts relative to the EMAs & cloud. This helps you learn to see signals.
What It Doesn’t Do (and What to Be Careful Of)
It doesn’t predict the future — it simply shows zones and trends. Price can still break down through the cloud.
In a “choppy” market (i.e. when price is going up and down without a clear trend), signals from EMAs / clouds are less reliable. You’ll get more “false bounces.”
Under / overshoots & big news events can break through clean levels, so always watch for confirmation (volume, price behavior) before putting big money in.
HIFI Altcoin Season Index (Total3 vs BTC)This indicator helps you determine whether the crypto market is in an "altcoin season" or a "bitcoin season." It doesn't compare every single altcoin to Bitcoin individually; instead, it uses a more efficient approach.
Methodology
The index calculates the difference in price performance over a selected period (default 90 days) between the total market capitalization of altcoins without Ethereum (TOTAL3) and Bitcoin (BTC).
Interpretation
Value above 75: TOTAL3 is showing significantly stronger growth than BTC, indicating an ALTCOIN SEASON. 🚀
Value below 25: BTC is outperforming TOTAL3, indicating a BITCOIN SEASON. 👑
Value between 25 and 75: The market is in a mixed or neutral phase. 🤷
Benefits
This method avoids the technical limitations of Pine Script when requesting data for a large number of symbols, making the indicator stable and reliable.
Disclaimer: This indicator is a tool for market analysis and should not be considered financial advice.
Filtro MA10 vs MA50 ±3% con línea + alertaesto va a determinar la comprension y similitud de las ema de 10 y la ema 50, permiendo ver la compresion de la fuerza
This will determine the understanding and similarity of the 10 ema and the 50 ema, allowing us to see the compression of the force
Open Interest OverlayOpen Interest Overlay
Overview
This indicator displays Open Interest (OI) data directly on your price chart as an overlay, eliminating the need for separate panes while preserving authentic OI movement patterns. Perfect for traders who want to analyze OI correlations without sacrificing chart real estate.
Key Features
📊 Smart Price Scaling
• Automatically maps Open Interest values to fit within your chart's price range
• Preserves all directional movements, timing, and relative magnitude relationships
• Uses official TradingView Open Interest feed for accuracy
🎨 Full Customization
• Custom Colors: Choose your own colors for rising/falling OI (defaults: teal/red)
• Line Style: Toggle between step-line (traditional) or smooth line display
• Optional Fill: Shade area between OI line and mid-price for better visual reference
• Smoothing Options: Apply moving average smoothing to reduce noise
⚙️ Intelligent Settings
• Normalization Window: 300-bar lookback (customizable) for scaling calculations
• Auto Timeframe: Uses daily data for intraday charts on traditional assets, chart timeframe for crypto
• Real Value Display: Shows actual (unscaled) OI value on the last bar
How It Works
The indicator performs proportional mapping of Open Interest data:
1. Calculates OI range (high/low) over the lookback period
2. Maps this range to your chart's price range during the same period
3. Displays OI movements that maintain authentic patterns and timing
Perfect For
✅ Correlation Analysis - See how OI moves with price in real-time
✅ Divergence Spotting - Identify when OI and price trends diverge
✅ Clean Charts - No need for separate panes or window splitting
✅ Pattern Recognition - Spot OI building/declining during key price levels
✅ Cross-Market Analysis - View any symbol's OI overlay on your current chart (e.g., Bitcoin OI while viewing Ethereum prices)
What You Get vs Traditional OI Indicators
Advantages:
• Authentic OI movement patterns preserved
• Direct visual correlation with price action
• No chart real estate sacrifice
• Immediate trend and divergence recognition
Trade-offs:
• Shows relative OI changes rather than absolute values
• Scaling is relative to the selected lookback period
Ideal For
• Day traders monitoring intraday OI flow
• Swing traders analyzing OI trends with price movements
• Futures traders tracking institutional interest
• Anyone wanting clean, correlation-focused OI analysis
Compatible With
• Futures contracts with Open Interest data
• Any timeframe (auto-adjusts for optimal data)
• All TradingView-supported OI symbols
