2x ATR Horizontal Rays2x ATR Horizontal Rays Indicator
This script plots horizontal rays based on the 2x ATR (Average True Range) of the previous candle. It helps traders visualize key support and resistance levels by extending lines from the last candle's price, calculated with a 2x ATR multiplier. The indicator draws two lines:
Upper ATR Line: Positioned above the previous candle’s close by 2x the ATR value.
Lower ATR Line: Positioned below the previous candle’s close by 2x the ATR value.
Key Features:
Customizable ATR Length: Allows users to input their preferred ATR period to suit different market conditions.
Dynamic Horizontal Lines: The lines update with each new candle, giving traders a clear visual of volatility levels.
Extended Right Lines: The horizontal rays extend to the right, serving as potential zones for price reversals or breakouts.
This indicator is useful for traders looking to gauge market volatility and set target levels or stops based on historical price movements.
How to Use:
Add the indicator to your chart and adjust the ATR length in the settings.
Watch how the price interacts with the upper and lower ATR lines as potential zones for support, resistance, or trend continuation.
Happy trading!
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SMT Oscillator: Smarter Money Divergence Detector [PhenLabs]📊Phenlabs - SMT Oscillator: Smarter Money Divergence Detector
Version: PineScript™v6
📌Description
The SMT Oscillator is a sophisticated tool designed to identify smart money divergence between two correlated assets. By analyzing the momentum and volume-weighted price action of a primary and secondary symbol, traders can spot subtle shifts in market dynamics that often precede significant price movements. This indicator is built to provide a clearer, more filtered view of inter-market relationships, solving the common problem of false signals and market noise. Its primary purpose is to equip traders with a quantifiable edge in detecting potential reversals or continuations that are not obvious on a standard price chart.
🚀Points of Innovation
Dual-Symbol Divergence Core: Directly compares momentum (RSI or MACD) between two user-selected symbols to pinpoint true SMT divergence.
Volume-Weighted Analysis: Integrates volume delta into the divergence calculation, giving more weight to moves backed by significant market participation.
Entropy Filter for Noise Reduction: Employs an entropy calculation to filter out low-quality signals during choppy or consolidating market conditions.
Predictive Forecast Line: Utilizes a linear regression model to project the oscillator’s future trajectory, offering a forward-looking glimpse of potential momentum shifts.
Customizable Signal Sensitivity: Allows fine-tuning of overbought and oversold levels to adapt to different market volatilities and trading styles.
Integrated Signal Alerts: Provides built-in alerts for bullish/bearish zero crosses and overbought/oversold conditions.
🔧Core Components
Momentum Engine: The user can select either RSI or MACD as the underlying engine for the divergence calculation, allowing for flexibility in analysis.
Normalization Function: Price data from both symbols is normalized using percentage change to ensure a true “apples-to-apples” comparison, regardless of their nominal price differences.
Divergence Calculator: The core algorithm that subtracts the secondary symbol’s momentum from the primary’s and normalizes the result using the combined standard deviation.
Smoothing Mechanism: An Exponential Moving Average (EMA) is applied to the raw oscillator output to reduce choppiness and provide a clearer signal line.
🔥Key Features
Multi-Asset Comparison: Go beyond single-asset analysis by comparing correlated pairs like ES/NQ or BTC/ETH to uncover hidden trading opportunities.
Heatmap Visualization: An optional heatmap mode provides an intuitive visual representation of divergence strength, making it easier to gauge market sentiment at a glance.
Configurable Lookback and Timeframe: Adjust the lookback period and analysis timeframe to suit your specific strategy, from short-term scalping to long-term trend analysis.
Signal Markers: Visual markers are plotted directly on the chart for bullish and bearish zero-line crossovers, providing clear entry and exit signals.
🎨Visualization
SMT Oscillator Line: The primary visual element, colored blue for bullish (positive) divergence and orange for bearish (negative) divergence.
Zero Line: A solid horizontal line at the zero level, indicating the equilibrium point between the two assets. Crossovers of this line signal a shift in relative strength.
Overbought/Oversold Zones: Dotted lines at the +80 and -80 levels (customizable) that highlight extreme divergence readings, often indicating potential exhaustion points.
Forecast Line: A predictive line that plots the anticipated path of the oscillator, giving traders an advanced warning of potential changes in momentum.
📖Usage Guidelines
Setting Categories
Primary Symbol
Default: (Chart Symbol)
Description: The main asset you are analyzing. Leave blank to use the symbol currently on your chart.
Secondary Symbol
Default: CME_MINI:ES1! (used with NASDAQ futures due to inherent heavy correlation
Description: The asset to compare against the primary symbol.
Lookback Period
Default: 14
Range: 8-100
Description: Controls the calculation window for momentum (RSI/MACD). Higher values result in a smoother, less sensitive oscillator.
Divergence Type
Default: RSI
Options: RSI, MACD
Description: Choose the momentum indicator to use for the divergence calculation.
Enable Volume Weighting
Default: true
Description: When enabled, gives more weight to divergence signals that are accompanied by significant volume.
✅Best Use Cases
Identifying high-probability reversal points by spotting divergence in overbought or oversold territory.
Confirming the strength of a trend by observing sustained positive or negative divergence.
Pairs trading by taking a long position on the outperforming asset and a short position on the underperforming one during a divergence.
Risk management by recognizing when a current trend is losing its underlying momentum.
⚠️Limitations
Requires Correlated Assets: The indicator’s effectiveness is highly dependent on the selection of two assets with a known correlation (e.g., ES and NQ).
Not a Standalone System: Divergence signals should be used in conjunction with other forms of analysis (price action, market structure) and not as a complete trading system.
Lagging by Nature: As it is based on moving averages and past price data, the oscillator is inherently lagging and may not capture all rapid price changes.
💡What Makes This Unique
Combined Momentum & Volume: Unlike standard oscillators, it fuses momentum with volume delta for a more robust “Smart Money” perspective.
Noise-Filtering Mechanism: The proprietary entropy filter is a unique feature designed to weed out insignificant market chatter and focus on high-conviction signals.
🔬How It Works
Data Normalization:
The script first normalizes the price data of the two selected symbols into percentage changes. This ensures that the comparison is fair, regardless of the difference in their price scales.
Momentum Calculation:
It then calculates the chosen momentum value (either RSI or MACD histogram) for each of the normalized price series.
Divergence Computation:
The core of the indicator lies in subtracting the momentum of the secondary symbol from the primary one. This raw divergence is then optionally weighted by volume and filtered for market noise (entropy) to produce the final oscillator value.
💡Note:
For best results, use this indicator on adequate timeframes to filter out market noise. Always confirm signals with price action analysis before entering a trade.
VoVix DEVMA🌌 VoVix DEVMA: A Deep Dive into Second-Order Volatility Dynamics
Welcome to VoVix+, a sophisticated trading framework that transcends traditional price analysis. This is not merely another indicator; it is a complete system designed to dissect and interpret the very fabric of market volatility. VoVix+ operates on the principle that the most powerful signals are not found in price alone, but in the behavior of volatility itself. It analyzes the rate of change, the momentum, and the structure of market volatility to identify periods of expansion and contraction, providing a unique edge in anticipating major market moves.
This document will serve as your comprehensive guide, breaking down every mathematical component, every user input, and every visual element to empower you with a profound understanding of how to harness its capabilities.
🔬 THEORETICAL FOUNDATION: THE MATHEMATICS OF MARKET DYNAMICS
VoVix+ is built upon a multi-layered mathematical engine designed to measure what we call "second-order volatility." While standard indicators analyze price, and first-order volatility indicators (like ATR) analyze the range of price, VoVix+ analyzes the dynamics of the volatility itself. This provides insight into the market's underlying state of stability or chaos.
1. The VoVix Score: Measuring Volatility Thrust
The core of the system begins with the VoVix Score. This is a normalized measure of volatility acceleration or deceleration.
Mathematical Formula:
VoVix Score = (ATR(fast) - ATR(slow)) / (StDev(ATR(fast)) + ε)
Where:
ATR(fast) is the Average True Range over a short period, representing current, immediate volatility.
ATR(slow) is the Average True Range over a longer period, representing the baseline or established volatility.
StDev(ATR(fast)) is the Standard Deviation of the fast ATR, which measures the "noisiness" or consistency of recent volatility.
ε (epsilon) is a very small number to prevent division by zero.
Market Implementation:
Positive Score (Expansion): When the fast ATR is significantly higher than the slow ATR, it indicates a rapid increase in volatility. The market is "stretching" or expanding.
Negative Score (Contraction): When the fast ATR falls below the slow ATR, it indicates a decrease in volatility. The market is "coiling" or contracting.
Normalization: By dividing by the standard deviation, we normalize the score. This turns it into a standardized measure, allowing us to compare volatility thrust across different market conditions and timeframes. A score of 2.0 in a quiet market means the same, relatively, as a score of 2.0 in a volatile market.
2. Deviation Analysis (DEV): Gauging Volatility's Own Volatility
The script then takes the analysis a step further. It calculates the standard deviation of the VoVix Score itself.
Mathematical Formula:
DEV = StDev(VoVix Score, lookback_period)
Market Implementation:
This DEV value represents the magnitude of chaos or stability in the market's volatility dynamics. A high DEV value means the volatility thrust is erratic and unpredictable. A low DEV value suggests the change in volatility is smooth and directional.
3. The DEVMA Crossover: Identifying Regime Shifts
This is the primary signal generator. We take two moving averages of the DEV value.
Mathematical Formula:
fastDEVMA = SMA(DEV, fast_period)
slowDEVMA = SMA(DEV, slow_period)
The Core Signal:
The strategy triggers on the crossover and crossunder of these two DEVMA lines. This is a profound concept: we are not looking at a moving average of price or even of volatility, but a moving average of the standard deviation of the normalized rate of change of volatility.
Bullish Crossover (fastDEVMA > slowDEVMA): This signals that the short-term measure of volatility's chaos is increasing relative to the long-term measure. This often precedes a significant market expansion and is interpreted as a bullish volatility regime.
Bearish Crossunder (fastDEVMA < slowDEVMA): This signals that the short-term measure of volatility's chaos is decreasing. The market is settling down or contracting, often leading to trending moves or range consolidation.
⚙️ INPUTS MENU: CONFIGURING YOUR ANALYSIS ENGINE
Every input has been meticulously designed to give you full control over the strategy's behavior. Understanding these settings is key to adapting VoVix+ to your specific instrument, timeframe, and trading style.
🌀 VoVix DEVMA Configuration
🧬 Deviation Lookback: This sets the lookback period for calculating the DEV value. It defines the window for measuring the stability of the VoVix Score. A shorter value makes the system highly reactive to recent changes in volatility's character, ideal for scalping. A longer value provides a smoother, more stable reading, better for identifying major, long-term regime shifts.
⚡ Fast VoVix Length: This is the lookback period for the fastDEVMA. It represents the short-term trend of volatility's chaos. A smaller number will result in a faster, more sensitive signal line that reacts quickly to market shifts.
🐌 Slow VoVix Length: This is the lookback period for the slowDEVMA. It represents the long-term, baseline trend of volatility's chaos. A larger number creates a more stable, slower-moving anchor against which the fast line is compared.
How to Optimize: The relationship between the Fast and Slow lengths is crucial. A wider gap (e.g., 20 and 60) will result in fewer, but potentially more significant, signals. A narrower gap (e.g., 25 and 40) will generate more frequent signals, suitable for more active trading styles.
🧠 Adaptive Intelligence
🧠 Enable Adaptive Features: When enabled, this activates the strategy's performance tracking module. The script will analyze the outcome of its last 50 trades to calculate a dynamic win rate.
⏰ Adaptive Time-Based Exit: If Enable Adaptive Features is on, this allows the strategy to adjust its Maximum Bars in Trade setting based on performance. It learns from the average duration of winning trades. If winning trades tend to be short, it may shorten the time exit to lock in profits. If winners tend to run, it will extend the time exit, allowing trades more room to develop. This helps prevent the strategy from cutting winning trades short or holding losing trades for too long.
⚡ Intelligent Execution
📊 Trade Quantity: A straightforward input that defines the number of contracts or shares for each trade. This is a fixed value for consistent position sizing.
🛡️ Smart Stop Loss: Enables the dynamic stop-loss mechanism.
🎯 Stop Loss ATR Multiplier: Determines the distance of the stop loss from the entry price, calculated as a multiple of the current 14-period ATR. A higher multiplier gives the trade more room to breathe but increases risk per trade. A lower multiplier creates a tighter stop, reducing risk but increasing the chance of being stopped out by normal market noise.
💰 Take Profit ATR Multiplier: Sets the take profit target, also as a multiple of the ATR. A common practice is to set this higher than the Stop Loss multiplier (e.g., a 2:1 or 3:1 reward-to-risk ratio).
🏃 Use Trailing Stop: This is a powerful feature for trend-following. When enabled, instead of a fixed stop loss, the stop will trail behind the price as the trade moves into profit, helping to lock in gains while letting winners run.
🎯 Trail Points & 📏 Trail Offset ATR Multipliers: These control the trailing stop's behavior. Trail Points defines how much profit is needed before the trail activates. Trail Offset defines how far the stop will trail behind the current price. Both are based on ATR, making them fully adaptive to market volatility.
⏰ Maximum Bars in Trade: This is a time-based stop. It forces an exit if a trade has been open for a specified number of bars, preventing positions from being held indefinitely in stagnant markets.
⏰ Session Management
These inputs allow you to confine the strategy's trading activity to specific market hours, which is crucial for day trading instruments that have defined high-volume sessions (e.g., stock market open).
🎨 Visual Effects & Dashboard
These toggles give you complete control over the on-chart visuals and the dashboard. You can disable any element to declutter your chart or focus only on the information that matters most to you.
📊 THE DASHBOARD: YOUR AT-A-GLANCE COMMAND CENTER
The dashboard centralizes all critical information into one compact, easy-to-read panel. It provides a real-time summary of the market state and strategy performance.
🎯 VOVIX ANALYSIS
Fast & Slow: Displays the current numerical values of the fastDEVMA and slowDEVMA. The color indicates their direction: green for rising, red for falling. This lets you see the underlying momentum of each line.
Regime: This is your most important environmental cue. It tells you the market's current state based on the DEVMA relationship. 🚀 EXPANSION (Green) signifies a bullish volatility regime where explosive moves are more likely. ⚛️ CONTRACTION (Purple) signifies a bearish volatility regime, where the market may be consolidating or entering a smoother trend.
Quality: Measures the strength of the last signal based on the magnitude of the DEVMA difference. An ELITE or STRONG signal indicates a high-conviction setup where the crossover had significant force.
PERFORMANCE
Win Rate & Trades: Displays the historical win rate of the strategy from the backtest, along with the total number of closed trades. This provides immediate feedback on the strategy's historical effectiveness on the current chart.
EXECUTION
Trade Qty: Shows your configured position size per trade.
Session: Indicates whether trading is currently OPEN (allowed) or CLOSED based on your session management settings.
POSITION
Position & PnL: Displays your current position (LONG, SHORT, or FLAT) and the real-time Profit or Loss of the open trade.
🧠 ADAPTIVE STATUS
Stop/Profit Mult: In this simplified version, these are placeholders. The primary adaptive feature currently modifies the time-based exit, which is reflected in how long trades are held on the chart.
🎨 THE VISUAL UNIVERSE: DECIPHERING MARKET GEOMETRY
The visuals are not mere decorations; they are geometric representations of the underlying mathematical concepts, designed to give you an intuitive feel for the market's state.
The Core Lines:
FastDEVMA (Green/Maroon Line): The primary signal line. Green when rising, indicating an increase in short-term volatility chaos. Maroon when falling.
SlowDEVMA (Aqua/Orange Line): The baseline. Aqua when rising, indicating a long-term increase in volatility chaos. Orange when falling.
🌊 Morphism Flow (Flowing Lines with Circles):
What it represents: This visualizes the momentum and strength of the fastDEVMA. The width and intensity of the "beam" are proportional to the signal strength.
Interpretation: A thick, steep, and vibrant flow indicates powerful, committed momentum in the current volatility regime. The floating '●' particles represent kinetic energy; more particles suggest stronger underlying force.
📐 Homotopy Paths (Layered Transparent Boxes):
What it represents: These layered boxes are centered between the two DEVMA lines. Their height is determined by the DEV value.
Interpretation: This visualizes the overall "volatility of volatility." Wider boxes indicate a chaotic, unpredictable market. Narrower boxes suggest a more stable, predictable environment.
🧠 Consciousness Field (The Grid):
What it represents: This grid provides a historical lookback at the DEV range.
Interpretation: It maps the recent "consciousness" or character of the market's volatility. A consistently wide grid suggests a prolonged period of chaos, while a narrowing grid can signal a transition to a more stable state.
📏 Functorial Levels (Projected Horizontal Lines):
What it represents: These lines extend from the current fastDEVMA and slowDEVMA values into the future.
Interpretation: Think of these as dynamic support and resistance levels for the volatility structure itself. A crossover becomes more significant if it breaks cleanly through a prior established level.
🌊 Flow Boxes (Spaced Out Boxes):
What it represents: These are compact visual footprints of the current regime, colored green for Expansion and red for Contraction.
Interpretation: They provide a quick, at-a-glance confirmation of the dominant volatility flow, reinforcing the background color.
Background Color:
This provides an immediate, unmistakable indication of the current volatility regime. Light Green for Expansion and Light Aqua/Blue for Contraction, allowing you to assess the market environment in a split second.
📊 BACKTESTING PERFORMANCE REVIEW & ANALYSIS
The following is a factual, transparent review of a backtest conducted using the strategy's default settings on a specific instrument and timeframe. This information is presented for educational purposes to demonstrate how the strategy's mechanics performed over a historical period. It is crucial to understand that these results are historical, apply only to the specific conditions of this test, and are not a guarantee or promise of future performance. Market conditions are dynamic and constantly change.
Test Parameters & Conditions
To ensure the backtest reflects a degree of real-world conditions, the following parameters were used. The goal is to provide a transparent baseline, not an over-optimized or unrealistic scenario.
Instrument: CME E-mini Nasdaq 100 Futures (NQ1!)
Timeframe: 5-Minute Chart
Backtesting Range: March 24, 2024, to July 09, 2024
Initial Capital: $100,000
Commission: $0.62 per contract (A realistic cost for futures trading).
Slippage: 3 ticks per trade (A conservative setting to account for potential price discrepancies between order placement and execution).
Trade Size: 1 contract per trade.
Performance Overview (Historical Data)
The test period generated 465 total trades , providing a statistically significant sample size for analysis, which is well above the recommended minimum of 100 trades for a strategy evaluation.
Profit Factor: The historical Profit Factor was 2.663 . This metric represents the gross profit divided by the gross loss. In this test, it indicates that for every dollar lost, $2.663 was gained.
Percent Profitable: Across all 465 trades, the strategy had a historical win rate of 84.09% . While a high figure, this is a historical artifact of this specific data set and settings, and should not be the sole basis for future expectations.
Risk & Trade Characteristics
Beyond the headline numbers, the following metrics provide deeper insight into the strategy's historical behavior.
Sortino Ratio (Downside Risk): The Sortino Ratio was 6.828 . Unlike the Sharpe Ratio, this metric only measures the volatility of negative returns. A higher value, such as this one, suggests that during this test period, the strategy was highly efficient at managing downside volatility and large losing trades relative to the profits it generated.
Average Trade Duration: A critical characteristic to understand is the strategy's holding period. With an average of only 2 bars per trade , this configuration operates as a very short-term, or scalping-style, system. Winning trades averaged 2 bars, while losing trades averaged 4 bars. This indicates the strategy's logic is designed to capture quick, high-probability moves and exit rapidly, either at a profit target or a stop loss.
Conclusion and Final Disclaimer
This backtest demonstrates one specific application of the VoVix+ framework. It highlights the strategy's behavior as a short-term system that, in this historical test on NQ1!, exhibited a high win rate and effective management of downside risk. Users are strongly encouraged to conduct their own backtests on different instruments, timeframes, and date ranges to understand how the strategy adapts to varying market structures. Past performance is not indicative of future results, and all trading involves significant risk.
🔧 THE DEVELOPMENT PHILOSOPHY: FROM VOLATILITY TO CLARITY
The journey to create VoVix+ began with a simple question: "What drives major market moves?" The answer is often not a change in price direction, but a fundamental shift in market volatility. Standard indicators are reactive to price. We wanted to create a system that was predictive of market state. VoVix+ was designed to go one level deeper—to analyze the behavior, character, and momentum of volatility itself.
The challenge was twofold. First, to create a robust mathematical model to quantify these abstract concepts. This led to the multi-layered analysis of ATR differentials and standard deviations. Second, to make this complex data intuitive and actionable. This drove the creation of the "Visual Universe," where abstract mathematical values are translated into geometric shapes, flows, and fields. The adaptive system was intentionally kept simple and transparent, focusing on a single, impactful parameter (time-based exits) to provide performance feedback without becoming an inscrutable "black box." The result is a tool that is both profoundly deep in its analysis and remarkably clear in its presentation.
⚠️ RISK DISCLAIMER AND BEST PRACTICES
VoVix+ is an advanced analytical tool, not a guarantee of future profits. All financial markets carry inherent risk. The backtesting results shown by the strategy are historical and do not guarantee future performance. This strategy incorporates realistic commission and slippage settings by default, but market conditions can vary. Always practice sound risk management, use position sizes appropriate for your account equity, and never risk more than you can afford to lose. It is recommended to use this strategy as part of a comprehensive trading plan. This was developed specifically for Futures
"The prevailing wisdom is that markets are always right. I take the opposite view. I assume that markets are always wrong. Even if my assumption is occasionally wrong, I use it as a working hypothesis."
— George Soros
— Dskyz, Trade with insight. Trade with anticipation.
GCM Centre Line Candle MarkerGCM Centre Line Candle Marker (GCM-CLCM) - Descriptive Notes
Indicator Overview:
The "GCM Centre Line Candle Marker" is a versatile TradingView overlay indicator designed to enhance chart analysis by drawing short horizontal lines at user-defined "centre" points of candles. These lines provide a quick visual reference to key price levels within each candle, such as midpoints, open, close, or typical prices. The indicator offers extensive customization for line appearance, positioning, and conditional display, including an option to highlight only bullish engulfing patterns.
Key Features:
1. Customizable Line Position:
o Users can choose from various methods to calculate the "centre" price for the line:
(High + Low) / 2 (Default)
(Open + Close) / 2
Close
Open
(Open + High + Low + Close) / 4 (HLCO/4)
(Open + High + Close) / 3 (Typical Price HLC/3 variation)
(Open + Close + Low) / 3 (Typical Price OCL/3 variation)
2. Line Appearance Customization:
o Visibility: Toggle lines on/off.
o Style: Solid, dotted, or dashed lines.
o Width: Adjustable line thickness (1 to 5).
o Length: Defines how many candles forward the line extends (1 to 10).
o Color: Lines are colored based on candle type (bullish/bearish), with user-selectable base colors.
o Dynamic Opacity: Line opacity is dynamically adjusted based on the candle's size relative to recent candles. Larger candles produce more opaque lines (up to the user-defined maximum opacity), while smaller candles result in more transparent lines. This helps significant candles stand out.
3. Price Labels:
o Show Labels: Option to display price labels at the end of each center line.
o Label Background Color: Customizable.
o Dynamic Text Color: Label text color can change based on the movement of the center price:
Green: Current center price is higher than the previous.
Red: Current center price is lower than the previous.
Gray: No change or first label.
o Static Text Color: Alternatively, a fixed color can be used for all labels.
4. Conditional Drawing - Bullish Engulfing Filter:
o Users can enable an option to Only Show Bullish Engulfing Candles. When active, center lines will only be drawn for candles that meet bullish engulfing criteria (current bull candle's body engulfs the previous bear candle's body).
5. Performance Management:
o Max Lines to Show: Limits the number of historical lines displayed on the chart to maintain clarity and performance. Older lines are automatically removed as new ones are drawn.
6. Alert Condition:
o Includes a built-in alert: Big Bullish Candle. This alert triggers when a bullish candle's range (high - low) is greater than the 20-period simple moving average (SMA) of candle ranges.
How It Works:
• For each new candle, the script calculates the "center" price based on the user's Line Position selection.
• If showLines is enabled and (if applicable) the bullish engulfing condition is met, a new line is drawn from the current candle's bar_index at the calculated _center price, extending lineLength candles forward.
• The line's color is determined by whether the candle is bullish (close > open) or bearish (close < open).
• Opacity is calculated dynamically: scaledOpacity = int((100 - maxUserOpacity) * (1 - dynamicFactor) + maxUserOpacity), where dynamicFactor is candleSize / maxSize (current candle size relative to the max size in the last 20 candles). This means maxUserOpacity is the least transparent the line will be (for the largest candles), and smaller candles will have lines approaching full transparency.
• Optional price labels are added at the end of these lines.
• The script manages an array of drawn lines, removing the oldest ones if the maxLines limit is exceeded.
Potential Use Cases:
• Visualizing Intra-Candle Levels: Quickly see midpoints or other key price points without manual drawing.
• Short-Term Reference Points: The extended lines can act as very short-term dynamic support/resistance or points of interest.
• Pattern Recognition: Highlight bullish engulfing patterns or simply emphasize candles based on their calculated center.
• Volatility Indication: The dynamic opacity can subtly indicate periods of larger or smaller candle ranges.
• Confirmation Tool: Use in conjunction with other indicators or trading strategies.
User Input Groups:
• Line Settings: Controls all aspects of the line's appearance and calculation.
• Label Settings: Manages the display and appearance of price labels.
• Other Settings: Contains options for line management and conditional filtering (like Bullish Engulfing).
This indicator provides a clean and customizable way to mark significant price levels within candles, aiding traders in their technical analysis.
Combined Support & Resistance IndicatorsPivot Points Calculation:
The script calculates the Pivot Point as the average of the high price (high), low price (low), and closing price (close) of the current bar.
The Pivot Point is plotted on the chart as a red line.
Support and Resistance Levels:
The Support Level is calculated as the lowest price over the last lookback bars.
The Resistance Level is calculated as the highest price over the last lookback bars.
These levels are displayed on the chart using horizontal lines: green for support and red for resistance.
Momentum Indicators:
RSI (Relative Strength Index): A momentum oscillator calculated based on the closing price over the last 14 bars. It is plotted as a yellow line.
MACD (Moving Average Convergence Divergence): An indicator consisting of the MACD line (blue) and the signal line (orange). It is calculated based on the closing price.
Moving Averages:
SMA 20: A simple moving average over the last 20 bars. It is plotted as a green line.
SMA 50: A simple moving average over the last 50 bars. It is plotted as a red line.
Dynamic Levels Drawing:
Instead of using hline (which does not support dynamic values), the script uses line.new to draw dynamic support and resistance levels. These lines are updated on each bar.
EBL - Enigma BOS LogicThe EBL - Enigma BOS Logic indicator is designed to detect key trend reversal points with precision by leveraging a unique concept based on two-candle price action analysis. Inspired by the balance of pairs in creation, this indicator identifies trend changes by focusing on significant bullish and bearish candle pairs, storing key levels, and waiting for confirmation to provide actionable trade signals. It goes beyond conventional trend-following indicators by offering real-time alerts and clear visual cues for traders.
How It Works
Bullish Setup:
The indicator identifies a bullish candle followed by a bearish candle. It then stores the high of the bullish candle as a potential reversal level.
A bullish confirmation occurs when a future bullish candle closes above the stored high. When this happens:
A green arrow is plotted below the confirming candle.
A horizontal green line is drawn at the stored high level, extending forward by a user-defined number of bars.
An alert is triggered to notify the trader of a confirmed bullish trend.
Bearish Setup:
The indicator identifies a bearish candle followed by a bullish candle. It stores the low of the bearish candle as a potential reversal level.
A bearish confirmation occurs when a future bearish candle closes below the stored low. When this happens:
A red arrow is plotted above the confirming candle.
A horizontal red line is drawn at the stored low level, extending forward by a user-defined number of bars.
An alert is triggered to notify the trader of a confirmed bearish trend.
Touch or Cross Alerts:
In addition to initial trend confirmation, the indicator tracks price movements relative to the drawn horizontal lines.
If the price returns to touch or cross a previously drawn horizontal line, an alert is triggered, indicating a potential re-entry or retracement opportunity.
Customization Options
To make the indicator versatile and adaptable for different trading styles, several customization options are provided:
Line Colors: Traders can customize the colors of the bullish and bearish lines.
Show/Hide Arrows and Lines: Users can choose whether to display the arrows and horizontal lines on the chart.
Line Length: The length of the horizontal lines (number of bars they extend into the future) is user-defined, offering flexibility based on trading timeframes and preferences.
Use Cases
Trend Reversal Detection: EBL is ideal for identifying key trend reversals, allowing traders to enter trades with a high probability of success.
Breakout Confirmation: The indicator provides visual and alert-based confirmation of breakouts beyond critical support or resistance levels.
Re-entry Opportunities: With alerts for price touching or crossing horizontal lines, traders can spot potential re-entry points during retracements.
Conceptual Foundation
The methodology behind this indicator is rooted in the principle that markets often move in pairs of bullish and bearish forces. By tracking the interaction between consecutive bullish and bearish candles and waiting for clear confirmations, this indicator ensures that only high-probability trend changes are signaled. This reduces noise and enhances trading accuracy, making it suitable for scalping, day trading, and swing trading across various timeframes.
How to Use
Apply the indicator to any chart and timeframe of your choice.
Set your preferred customization options, including line colors, arrow display, and line length.
Watch for arrows and listen for alerts to identify confirmed trend changes.
Pay attention to touch or cross alerts on horizontal lines, as these can signal potential re-entry or secondary trade opportunities.
Combine with other analysis: While EBL is powerful on its own, combining it with support/resistance analysis, moving averages, or volume indicators can further enhance its effectiveness.
This indicator is a powerful tool for traders seeking precision in identifying trend changes and actionable trade signals. Its unique logic, real-time alerts, and clear visual cues make it a valuable addition to any trader’s toolkit.
Globex time (New York Time)This indicator is designed to highlight and analyze price movements within the Globex session. Primarily geared toward the Globex Trap trading strategy, this tool visually identifies the session's high and low prices, allowing traders to better assess price action during extended hours. Here’s a comprehensive breakdown of its features and functionality:
Purpose
The "Globex Time (New York Time)" indicator tracks price levels during the Globex trading session, providing a clear view of overnight market activity. This session, typically running from 6 p.m. ET (18:00) until the following morning at 8:30 a.m. ET, is a critical period where significant market positioning can occur before the regular session opens. In the Globex Trap strategy, the session high and low are essential levels, as price movements around these areas often indicate potential support, resistance, or reversal zones, which traders use to set up entries or exits when the regular trading session begins.
Key Features
Customizable Session Start and End Times
The indicator allows users to specify the exact start and end times of the Globex session in New York time. The default settings are:
Start: 6 p.m. ET (18:00)
End: 8:30 a.m. ET
These settings can be adjusted to align with specific market hours or personal preferences.
Session High and Low Identification
Throughout the defined session, the indicator dynamically calculates and tracks:
Session High: The highest price reached within the session.
Session Low: The lowest price reached within the session.
These levels are essential for the Globex Trap strategy, as price action around them can indicate likely breakout or reversal points when regular trading resumes.
Vertical Lines for Session Start and End
The indicator draws vertical lines at both the session start and end times:
Session Start Line: A solid line marking the exact beginning of the Globex session.
Session End Line: A similar vertical line marking the session’s conclusion.
Both lines are customizable in terms of color and thickness, making it easy to distinguish the session boundaries visually on the chart.
Horizontal Lines for Session High and Low
At the end of the session, the indicator plots horizontal lines representing the Globex session's high and low levels. Users can customize these lines:
Color: Define specific colors for the session high (default: red) and session low (default: green) to easily differentiate them.
Line Style: Options to set the line style (solid, dashed, or dotted) provide flexibility for visual preferences and chart organization.
Automatic Reset for Daily Tracking
To adapt to the next trading day, the indicator resets the session high and low data once the current session ends. This reset prepares it to start tracking new levels at the beginning of the next session without manual intervention.
Practical Application in the Globex Trap Strategy
In the Globex Trap strategy, traders are primarily interested in price behavior around the high and low levels established during the overnight session. Common applications of this indicator for this strategy include:
Breakout Trades: Watching for price to break above the Globex high or below the Globex low, indicating potential momentum in the breakout direction.
Reversal Trades: Monitoring for failed breakouts or traps where price tests and rejects the Globex high or low, suggesting a reversal as liquidity is trapped in these zones.
Support and Resistance Zones: Using the session high and low as key support and resistance levels during the regular trading session, with potential entry or exit points when price approaches these areas.
Additional Configuration Options
Vertical Line Color and Width: Define the color and thickness of the vertical session start and end lines to match your chart’s theme.
Upper and Lower Line Colors and Styles: Customize the appearance of the session high and low horizontal lines by setting color and line style (solid, dashed, or dotted), making it easy to distinguish these critical levels from other chart markings.
Summary
This indicator is a valuable tool for traders implementing the Globex Trap strategy. It visually segments the Globex session and marks essential price levels, helping traders analyze market behavior overnight. Through its customizable options and clear visual representation, it simplifies tracking overnight price activity and identifying strategic levels for potential trade setups during the regular session.
RSI Multiple TimeFrame, Version 1.0RSI Multiple TimeFrame, Version 1.0
Overview
The RSI Multiple TimeFrame script is designed to enhance trading decisions by providing a comprehensive view of the Relative Strength Index (RSI) across multiple timeframes. This tool helps traders identify overbought and oversold conditions more accurately by analyzing RSI values on different intervals simultaneously. This is particularly useful for traders who employ multi-timeframe analysis to confirm signals and make more informed trading decisions.
Unique Feature of the new script (described in detail below)
Multi-Timeframe RSI Analysis
Customizable Timeframes
Visual Signal Indicators (dots)
Overbought and Oversold Layers with gradual Background Fill
Enhanced Trend Confirmation
Originality and Usefulness
This script combines the RSI indicator across three distinct timeframes into a single view, providing traders with a multi-dimensional perspective of market momentum. It also provides associated signals to better time dips and peaks. Unlike standard RSI indicators that focus on a single timeframe, this script allows users to observe RSI trends across short, medium, and long-term intervals, thereby improving the accuracy of entry and exit signals. This is particularly valuable for traders looking to align their short-term strategies with longer-term market trends.
Signal Description
The script also includes a unique signal feature that plots green and red dots on the chart to highlight potential buy and sell opportunities:
Green Dots : These appear when all three RSI values are under specific thresholds (RSI of the shortest timeframe < 30, the medium timeframe < 40, and the longest timeframe < 50) and the RSI of the shortest timeframe is showing an upward trend (current value is greater than the previous value, and the value two periods ago is greater than the previous value). This indicates a potential buying opportunity as the market may be shifting from an oversold condition.
Red Dots : These appear when all three RSI values are above specific thresholds (RSI of the shortest timeframe > 70, the medium timeframe > 60, and the longest timeframe > 50) and the RSI of the shortest timeframe is showing a downward trend (current value is less than the previous value, and the value two periods ago is less than the previous value). This indicates a potential selling opportunity as the market may be shifting from an overbought condition.
These signals help traders identify high-probability turning points in the market by ensuring that momentum is aligned across multiple timeframes.
Detailed Description
Input Variables
RSI Period (`len`) : The number of periods to calculate the RSI. Default is 14.
RSI Source (`src`) : The price source for RSI calculation, defaulting to the average of the high and low prices (`hl2`).
Timeframes (`tf1`, `tf2`, `tf3`) : The different timeframes for which the RSI is calculated, defaulting to 5 minutes, 1 hour, and 8 hours respectively.
Functionality
RSI Calculations : The script calculates the RSI for each of the three specified timeframes using the `request.security` function. This allows the RSI to be plotted for multiple intervals, providing a layered view of market momentum.
```pine
rsi_tf1 = request.security(syminfo.tickerid, tf1, ta.rsi(src, len))
rsi_tf2 = request.security(syminfo.tickerid, tf2, ta.rsi(src, len))
rsi_tf3 = request.security(syminfo.tickerid, tf3, ta.rsi(src, len))
```
Plotting : The RSI values for the three timeframes are plotted with different colors and line widths for clear visual distinction. This makes it easy to compare RSI values across different intervals.
```pine
p1 = plot(rsi_tf1, title="RSI 5m", color=color.rgb(200, 200, 255), linewidth=2)
p2 = plot(rsi_tf2, title="RSI 1h", color=color.rgb(125, 125, 255), linewidth=2)
p3 = plot(rsi_tf3, title="RSI 8h", color=color.rgb(0, 0, 255), linewidth=2)
```
Overbought and Oversold Levels : Horizontal lines are plotted at standard RSI levels (20, 30, 40, 50, 60, 70, 80) to visually identify overbought and oversold conditions. The areas between these levels are filled with varying shades of blue for better visualization.
```pine
h80 = hline(80, title="RSI threshold 80", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
h70 = hline(70, title="RSI threshold 70", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
...
fill(h70, h80, color=color.rgb(33, 150, 243, 95), title="Background")
```
Signal Plotting : The script adds green and red dots to indicate potential buy and sell signals, respectively. A green dot is plotted when all RSI values are under specific thresholds and the RSI of the shortest timeframe is rising. Conversely, a red dot is plotted when all RSI values are above specific thresholds and the RSI of the shortest timeframe is falling.
```pine
plotshape(series=(rsi_tf1 < 30 and rsi_tf2 < 40 and rsi_tf3 < 50 and (rsi_tf1 > rsi_tf1 ) and (rsi_tf1 > rsi_tf1 )) ? 1 : na, location=location.bottom, color=color.green, style=shape.circle, size=size.tiny)
plotshape(series=(rsi_tf1 > 70 and rsi_tf2 > 60 and rsi_tf3 > 50 and (rsi_tf1 < rsi_tf1 ) and (rsi_tf1 < rsi_tf1 )) ? 1 : na, location=location.top, color=color.red, style=shape.circle, size=size.tiny)
```
How to Use
Configuring Inputs : Adjust the RSI period and source as needed. Modify the timeframes to suit your trading strategy.
Interpreting the Indicator : Use the plotted RSI values to gauge momentum across different timeframes. Look for overbought conditions (RSI above 70, 60 and 50) and oversold conditions (RSI below 30, 40 and 50) across multiple intervals to confirm trade signals.
Signal Confirmation : Pay attention to the green and red dots that provide signals to better time dips and peaks. dots are printed when the lower timeframe (5mn by default) shows sign of reversal.
These signals are more reliable when confirmed across all three timeframes.
This script provides a nuanced view of RSI, helping traders make more informed decisions by considering multiple timeframes simultaneously. By combining short, medium, and long-term RSI values, traders can better align their strategies with overarching market trends, thus improving the precision of their trading actions.
COT | MERCORThis Pine Script is designed for use on the TradingView platform to visualize various Commitment of Traders (COT) data for trading analysis. The COT reports provide a breakdown of each Tuesday’s open interest in the futures markets, which is valuable for understanding market sentiment. This script specifically focuses on displaying the positions of commercial and noncommercial traders (large speculators), both in long and short positions, as well as their net positions. Here’s a breakdown of the script’s components and how to use it:
Script Components
Indicator Declaration: The script begins by declaring a custom indicator using indicator() function, naming it "COT | MERCOR", and setting a short title and precision.
Library Import: It imports a library TradingView/LibraryCOT/2 as cot, which is likely a mock representation for the purpose of this description, assuming a library that provides COT data functions.
User Inputs:
shortNegative: A boolean input that allows users to choose whether short positions are displayed as negative numbers.
invertColors: A boolean input for users to decide if they want to invert the default colors of the plot lines.
lineWidth: An integer input that lets users adjust the width of the plotted lines.
COT Data Requests: The script requests COT data for both commercial and noncommercial traders' long and short positions using cot.COTTickerid() function. This includes constructing identifiers for these data points based on the user's input and predefined criteria (like "Commercial Positions" or "Noncommercial Positions", and direction "Long" or "Short").
Data Plotting: The script plots the retrieved data points on the chart, using different colors and line styles to distinguish between commercial and noncommercial positions, as well as between long, short, and net positions. It includes options to adjust the appearance based on user inputs (like inverting colors or changing line width).
Zero Line: A horizontal line (hline) is plotted at zero to provide a baseline for comparison.
How to Use
Adding the Script to Your Chart:
On TradingView, open the Pine Editor.
Paste this script into the Pine Editor.
Save and add the script to your chart.
Customizing the Display:
You can toggle whether short positions are displayed as negative numbers through the "Show Shorts as Negative Numbers?" checkbox.
Use the "Invert Colors?" checkbox to swap the colors used for plotting the positions.
Adjust the "Line Width" option to change the thickness of the plotted lines according to your preference.
Analyzing the Data:
The plotted lines represent the long, short, and net positions of commercial and noncommercial traders.
Commercial positions are typically considered the positions of entities involved in the production, processing, or merchandising of a commodity, whereas noncommercial positions represent large speculators, such as hedge funds.
The net positions (long minus short) provide insight into the overall bullish or bearish sentiment among these trader categories.
By examining these positions, traders can gain insights into potential market moves based on the behaviors of key market participants.
This script is a powerful tool for traders who want to incorporate COT report data into their market analysis on TradingView. By visualizing the trading positions of significant market players, it aids in making informed trading decisions.
Engulfing Box & LinesThe "Engulfing Box & Lines" indicator aims to spot and highlight Engulfing candlestick patterns within a trend. These patterns can provide valuable indications of a possible trend reversal, and the indicator underlines them through the use of colored rectangles and horizontal lines. To fully understand the functioning and use of this indicator, let's explore its key elements and associated strategies.
Identification of Engulfing Patterns:
The indicator focuses on detecting two types of Engulfing candles:
Bullish Engulfing: Occurs when a bullish candle (open lower than close) completely encloses the body of the previous bearish candle. This could indicate a possible upside reversal.
Bearish Engulfing: Occurs when a bearish candle (opening higher than closing) entirely engulfs the body of the previous bullish candle. This could signal a potential bearish reversal.
Using the EMA 200:
The indicator uses the 200-period Exponential Moving Average (EMA) as a reference to determine the position of the candles with respect to the long-term trend. When the price is above the 200 EMA, the bullish Engulfing candles are highlighted with a green box, while below the 200 EMA, red boxes are shown for the bearish Engulfing candles.
Size of Boxes and Lines:
The colored boxes represent the size of the body of the candle that caused the Engulfing. Additionally, a horizontal line is drawn close to the body of the candle, serving as the fulcrum of the indicator.
Trading Strategies:
This indicator can be used for different trading strategies:
Trend Continuation: During a positive trend, the onset of an engulfing pattern suggests a possible continuation of the trend. The horizontal lines represent potential support areas, where the price could bounce. Traders might consider buying during such bounces.
Retracements and Entries: Lines can act as support or resistance zones, depending on the trend. When the price approaches a line, a retracement could occur. Traders might move to a lower timeframe to spot entry signals, using the line as a reference.
Closing Positions: Lines could also be used to define exit levels. For example, a trader might decide to exit a position when the price approaches a resistance line.
Confirmations with Other Indicators: The indicator could be used in conjunction with other technical tools, such as oscillators or candlestick analysis, to confirm signals and improve the accuracy of trading decisions.
The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR)The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR)
Are you tired of manually analyzing charts and trying to find profitable trading opportunities? Look no further! Our algorithmic trading strategy, "Flash," is here to simplify your trading process and maximize your profits.
Flash is an advanced trading algorithm that combines three powerful indicators to generate highly selective and accurate trading signals. The Momentum-RSI, Super-Trend Analysis and EMA-Strategy indicators are used to identify the strength and direction of the underlying trend.
The Momentum-RSI signals the strength of the trend and only generates trading signals in confirmed upward or downward trends. The Super-Trend Analysis confirms the trend direction and generates signals when the price breaks through the super-trend line. The EMA-Strategy is used as a qualifier for the generation of trading signals, where buy signals are generated when the EMA crosses relevant trend lines.
Flash is highly selective, as it only generates trading signals when all three indicators align. This ensures that only the highest probability trades are taken, resulting in maximum profits.
Our trading strategy also comes with two profit management options. Option 1 uses the so-called supertrend-indicator which uses the dynamic ATR as a key input, while option 2 applies pre-defined, fixed SL and TP levels.
The settings for each indicator can be customized, allowing you to adjust the length, limit value, factor, and source value to suit your preferences. You can also set the time period in which you want to run the backtest and how many dollar trades you want to open in each position for fully automated trading.
Choose your preferred trade direction and stop-loss/take-profit settings, and let Flash do the rest. Say goodbye to manual chart analysis and hello to consistent profits with Flash. Try it now!
General Comments
This Flash Strategy has been developed in cooperation between Baby_whale_to_moon and JS-TechTrading. Cudos to Baby_whale_to_moon for doing a great job in transforming sophisticated trading ideas into pine scripts.
Detailed Description
The “Flash” script considers the following indicators for the generation of trading signals:
1. Momentum-RSI
2. ‘Super-Trend’-Analysis
3. EMA-Strategy
1. Momentum-RSI
• This indicator signals the strength of the underlying upward- or downward-trend.
• The signal range of this indicator is from 0 to 100. Values > 60 indicate a confirmed upward- or downward-trend.
• The strategy will only generate trading signals in case the stock (or any other financial security) is in a confirmed upward- (long entry signals) or downward-trend (short entry signals).
• This indicator provides information with regards to the strength of the underlying trend and it does not give any insight with regard to the direction of the trend. Therefore, this strategy also considers other indicators which provide technical confirmation with regards to the direction of the underlying trend.
Graph 1 shows this concept:
• The Momentum-RSI indicator gives lower readings during consolidation phases and no trading signals are generated during these periods.
Example (graph 2):
2. Super-Trend Analysis
• The red line in the graph below represents the so-called super-trend-line. Trading signals are only generated in case the price action breaks through this super-trend-line indicating a new confirmed upward-trend (or downward-trend, respectively).
• If that happens, the super trend-line changes its color from red to green, giving confirmation that the trend changed from bearish to bullish and long-entries can be considered.
• The vice-versa approach can be considered for short entries.
Graph 3 explains this concept:
3. Exponential Moving Average / EMA-Strategy
The functionality of this EMA-element of the strategy has been programmed as follows:
• The exponential moving average and two other trend lines are being used as qualifiers for the generation of trading-signals.
• Buy-signals for long-entries are only considered in case the EMA (yellow line in the graph below) crosses the red line.
• Sell-signals for short-entries are only considered in case the EMA (yellow line in the graph below) crosses the green line.
An example is shown in graph 4 below:
We use this indicator to determine the new trend direction that may occur by using the data of the price's past movement.
4. Bringing it all together
This section describes in detail, how this strategy combines the Momentum-RSI, the super-trend analysis and the EMA-strategy.
The strategy only generates trading-signals in case all of the following conditions and qualifiers are being met:
1. Momentum-RSI is higher than the set value of this strategy. The standard and recommended value is 60 (graph 5):
2. The super-trend analysis needs to indicate a confirmed upward-trend (for long-entry signals) or a confirmed downward-trend (for short-entry signals), respectively.
3. The EMA-strategy needs to indicate that the stock or financial security is in a confirmed upward-trend (long-entries) or downward-trend (short-entries), respectively.
The strategy will only generate trading signals if all three qualifiers are being met. This makes this strategy highly selective and is the key secret for its success.
Example for Long-Entry (graph 6):
When these conditions are met, our Long position is opened.
Example for Short-Entry (graph 7):
Trade Management Options (graph 8)
Option 1
In this dynamic version, the so-called supertrend-indicator is being used for the trade exit management. This supertrend-indicator is a sophisticated and optimized methodology which uses the dynamic ATR as one of its key input parameters.
The following settings of the supertrend-indicator can be changed and optimized (graph 9):
The dynamic SL/TP-lines of the supertrend-indicator are shown in the charts. The ATR-length and the supertrend-factor result in a multiplier value which can be used to fine-tune and optimize this strategy based on the financial security, timeframe and overall market environment.
Option 2 (graph 10):
Option 2 applies pre-defined, fixed SL and TP levels which will appear as straight horizontal lines in the chart.
Settings options (graph 11):
The following settings can be changed for the three elements of this strategy:
1. (Length Mom-Rsi): Length of our Mom-RSI indicator.
2. Mom-RSI Limit Val: the higher this number, the more momentum of the underlying trend is required before the strategy will start creating trading signals.
3. The length and factor values of the super trend indicator can be adjusted:ATR Length SuperTrend and Factor Super Trend
4. You can set the source value used by the ema trend indicator to determine the ema line: Source Ema Ind
5. You can set the EMA length and the percentage value to follow the price: Length Ema Ind and Percent Ema Ind
6. The backtesting period can be adjusted: Start and End time of BackTest
7. Dollar cost per position: this is relevant for 100% fully automated trading.
8. Trade direction can be adjusted: LONG, SHORT or BOTH
9. As we explained above, we can determine our stop-loss and take-profit levels dynamically or statically. (Version 1 or Version 2 )
Display options on the charts graph 12):
1. Show horizontal lines for the Stop-Loss and Take-profit levels on the charts.
2. Display relevant Trend Lines, including color setting options for the supertrend functionality. In the example below, green lines indicate a confirmed uptrend, red lines indicate a confirmed downtrend.
Other comments
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
Time Line Indicator - by LMTime Line Indicator – by LM
Description:
The Time Line Indicator is a simple, clean, and customizable tool designed to visualize specific time periods within each hour directly in a dedicated indicator pane. It allows traders to mark important intraday minute ranges across multiple past hours, providing a clear visual reference for time-based analysis. This indicator is perfect for identifying recurring hourly windows, session patterns, or custom time-based events in your charts.
Unlike traditional overlays, this indicator does not interfere with price candles and draws its lines in a separate pane at the bottom of your chart for clarity.
Key Features:
Custom Hourly Lines:
Draw horizontal lines for a specific minute range within each hour, e.g., from the 45th minute to the 15th minute of the next hour.
Multi-Hour Support:
Choose how many past hours to display. The indicator will replicate the line for each selected hourly period, following the same minute logic.
Automatic Start/End Logic:
If your chosen start minute is in the previous hour, the line correctly begins at that time.
The end minute can cross into the next hour when applicable.
If the selected end minute does not yet exist in the current chart data, the line will extend to the latest available bar.
Dedicated Indicator Pane:
Lines appear in a fixed, non-intrusive y-axis within the indicator pane (overlay=false), keeping your price chart clean.
Customizable Appearance:
Line Color: Choose any color to match your chart theme.
Line Thickness: Adjust the width of the lines for better visibility.
Inputs:
Input Name Type Default Description
Line Color Color Orange The color of the horizontal lines.
Line Thickness Integer 2 The thickness of each line (1–5).
Start Minute Integer 5 The minute within the hour where the line begins (0–59).
End Minute Integer 25 The minute within the hour where the line ends (0–59).
Hours Back Integer 3 Number of past hours to display lines for.
Use Cases:
Intraday Analysis: Quickly visualize recurring minute ranges across multiple hours.
Session Tracking: Mark critical time windows for trading sessions or market events.
Pattern Recognition: Easily identify time-based patterns or setups without cluttering the price chart.
How It Works:
The indicator calculates the nearest bars corresponding to your start and end minutes.
It draws horizontal lines at a fixed y-axis value within the indicator pane.
Lines are drawn for each selected past hour, replicating the chosen minute span.
All logic respects the actual chart data; lines never extend into the future beyond the most recent bar.
Notes:
Overlay is set to false, so lines appear in a dedicated pane below the price chart.
The indicator is fully compatible with any timeframe. Lines adjust automatically to match the chart’s bar spacing.
You can change the number of hours displayed at any time without affecting existing lines.
If you want, I can also draft a shorter “TradingView Store / Public Library description” version under 500 characters for the “Short Description” field — concise and punchy for users scrolling through indicators.
Gap ZonesThis TradingView indicator automatically detects daily price gaps and plots them clearly on any timeframe (intraday or daily).
It helps visualize where unfilled gaps are sitting, track whether they’ve been filled, and control how far the zone extends.
Key Features
1. Daily Gap Detection
• Works even when you’re on intraday charts (uses daily OHLC data).
• Marks both gap up (potential support zones) and gap down (potential resistance zones).
2. Shaded Gap Zones
• Each gap is highlighted as a band (greenish for up, reddish for down).
• Option to turn shading off if you just want horizontal lines.
3. Hide When Filled
• Once price closes or touches the far side of the gap, it disappears (configurable: Touch vs Close).
4. Lookback Window
• Gaps only show if they occurred within the past X trading days (default: 30).
• Prevents your chart from being cluttered with ancient gaps.
5. Multiple Gaps Tracked
• Can track up to 5 recent gaps simultaneously.
• Oldest gaps “roll off” as new ones form.
6. Finite Right-Edge Guides
• Optional horizontal guide lines extend to the right, but only for a fixed number of bars (default: 50).
• Cleaner than infinite extensions.
7. Gap-Day Marker
• Optional vertical line drawn on the bar where the gap first occurred.
⸻
⚙️ Inputs & Settings
When you apply the indicator, you’ll see these options:
• Lookback (trading days): How far back to scan for gaps (default 30).
• Max gaps to show (1..5): How many simultaneous gap zones to display.
• Min gap size (% of prior close): Filter out tiny gaps (default 0.25%).
• Hide gaps once filled: Removes a gap from the chart once filled.
• Fill rule uses CLOSE (off = Touch):
• Touch = filled when price trades through the level intraday.
• Close = filled only when a candle close crosses it.
• Show shading: Toggle zone fills on/off.
• Show vertical marker on gap day: Toggle gap-day marker line.
• Show finite right-edge lines: Toggle horizontal lines extending right.
• Right line length (bars): How far those lines extend (default 50 bars).
⸻
🟢 How to Use It
1. Apply on Any Chart
• Works best on daily or intraday (5m, 15m, 1h).
• Gaps are always calculated from daily data, so intraday charts will show higher-timeframe gaps correctly.
2. Interpret Colors
• Green shading = Gap Up (often acts as support).
• Red shading = Gap Down (often acts as resistance).
3. Watch for Fills
• When price re-enters the gap zone, the indicator checks if it’s “filled” (based on your Touch/Close setting).
• If “Hide When Filled” is on, the zone vanishes.
4. Trade Context
• Many traders use gaps as targets (expecting a fill) or levels of support/resistance.
• Combined with your bull put/bear call spread strategies, it helps confirm strong levels.
COT INDEX
// Users & Producers: Commercial Positions
// Large Specs (Hedge Fonds): Non-commercial Positions
// Retail: Non-reportable Positions
//@version=5
int weeks = input.int(26, "Number of weeks", minval=1)
int upperExtreme = input.int(80, "Upper Threshold in %", minval=50)
int lowerExtreme = input.int(20, "Lower Threshold in %", minval=1)
bool hideCurrentWeek = input(true, "Hide the current week until market close")
bool markExtremes = input(false, "Mark long and short extremes")
bool showSmallSpecs = input(true, "Show small speculators index")
bool showProducers = input(true, "Show producers index")
bool showLargeSpecs = input(true, "Show large speculators index")
indicator("COT INDEX", shorttitle="COT INDEX", format=format.percent, precision=0)
import TradingView/LibraryCOT/2 as cot
// Function to fix some symbols.
var string Root_Symbol = syminfo.root
var string CFTC_Code_fixed = cot.convertRootToCOTCode("Auto")
if Root_Symbol == "HG"
CFTC_Code_fixed := "085692"
else if Root_Symbol == "LBR"
CFTC_Code_fixed := "058644"
// Function to request COT data for Futures only.
dataRequest(metricName, isLong) =>
tickerId = cot.COTTickerid('Legacy', CFTC_Code_fixed, false, metricName, isLong ? "Long" : "Short", "All")
value = request.security(tickerId, "1D", close, ignore_invalid_symbol = true)
if barstate.islastconfirmedhistory and na(value)
runtime.error("Could not find relevant COT data based on the current symbol.")
value
// Function to calculate net long positions.
netLongCommercialPositions() =>
commercialLong = dataRequest("Commercial Positions", true)
commercialShort = dataRequest("Commercial Positions", false)
commercialLong - commercialShort
netLongLargePositions() =>
largeSpecsLong = dataRequest("Noncommercial Positions", true)
largeSpecsShort = dataRequest("Noncommercial Positions", false)
largeSpecsLong - largeSpecsShort
netLongSmallPositions() =>
smallSpecsLong = dataRequest("Nonreportable Positions", true)
smallSpecsShort = dataRequest("Nonreportable Positions", false)
smallSpecsLong - smallSpecsShort
calcIndex(netPos) =>
minNetPos = ta.lowest(netPos, weeks)
maxNetPos = ta.highest(netPos, weeks)
if maxNetPos != minNetPos
100 * (netPos - minNetPos) / (maxNetPos - minNetPos)
else
na
// Calculate the Commercials Position Index.
commercialsIndex = calcIndex(netLongCommercialPositions())
largeSpecsIndex = calcIndex(netLongLargePositions())
smallSpecsIndex = calcIndex(netLongSmallPositions())
// Conditional logic based on user input
plotValueCommercials = hideCurrentWeek ? (timenow >= time_close ? commercialsIndex : na) : (showProducers ? commercialsIndex : na)
plotValueLarge = hideCurrentWeek ? (timenow >= time_close ? largeSpecsIndex : na) : (showLargeSpecs ? largeSpecsIndex : na)
plotValueSmall = hideCurrentWeek ? (timenow >= time_close ? smallSpecsIndex : na) : (showSmallSpecs ? smallSpecsIndex : na)
// Plot the index and horizontal lines
plot(plotValueCommercials, "Commercials", color=color.blue, style=plot.style_line, linewidth=2)
plot(plotValueLarge, "Large Speculators", color=color.red, style=plot.style_line, linewidth=1)
plot(plotValueSmall, "Small Speculators", color=color.green, style=plot.style_line, linewidth=1)
hline(upperExtreme, "Upper Threshold", color=color.green, linestyle=hline.style_solid, linewidth=1)
hline(lowerExtreme, "Lower Threshold", color=color.red, linestyle=hline.style_solid, linewidth=1)
/// Marking extremes with background color
bgcolor(markExtremes and (commercialsIndex >= upperExtreme or largeSpecsIndex >= upperExtreme or smallSpecsIndex >= upperExtreme) ? color.new(color.gray, 90) : na, title="Upper Threshold")
bgcolor(markExtremes and (commercialsIndex <= lowerExtreme or largeSpecsIndex <= lowerExtreme or smallSpecsIndex <= lowerExtreme) ? color.new(color.gray, 90) : na, title="Lower Threshold")
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart.
The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions.
How to Use the Indicator
Step 1: Configure Your Settings
Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00)
Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500)
Contract Type: Choose between:
NQ (Regular): $5 per tick - for larger accounts
MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing
Display Options:
Max Lines: Number of distance lines to show (default: 30)
Show Labels: Toggle tick distance and contract count labels
Line Color: Customize the color of distance lines
Label Size: Choose tiny, small, or normal label sizes
Step 2: Read the Visual Display
Once configured, the indicator displays:
Stop Loss Line:
Thick yellow line marking your exact stop loss level
Yellow label showing the stop loss price
Distance Lines:
Dashed red lines at 10-tick intervals above and below your stop loss
Lines appear on both sides for long and short position planning
Labels (if enabled):
Green labels (right side): For long positions above your stop loss
Red labels (left side): For short positions below your stop loss
Format: "20T 5x" means 20 ticks distance, 5 contracts maximum
Step 3: Use the Information Tables
The indicator provides two helpful tables:
Position Size Table (top-right):
Shows common tick distances (10, 20, 40, 80, 160 ticks)
Displays risk per contract at each distance
Contract count for your specified risk amount
Total risk with rounded contract numbers
Settings Table (bottom-right):
Confirms your current risk amount
Shows selected contract type
Displays current settings for quick reference
Step 4: Apply to Your Trading
For Long Positions:
Look at the green labels on the right side of your chart
Find your desired entry level
Read the label to see: distance in ticks and maximum contracts
Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum
For Short Positions:
Look at the red labels on the left side of your chart
Find your desired entry level
Read the label for tick distance and contract count
Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum
Step 5: Trading Execution
Before Entering a Trade:
Identify your stop loss level and input it into the indicator
Choose your entry point by looking at the distance lines
Note the contract count from the corresponding label
Verify the risk amount matches your trading plan
Execute your trade with the calculated position size
Risk Management Features:
Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit
Zero position filtering: Lines only show where position size is at least 1 contract
Dual-sided display: Plan both long and short opportunities simultaneously
Multi-Timeline 1.0Multi-TimeLines 1.0 - Comprehensive Description
WHAT IT DOES:
This indicator creates dynamic horizontal support/resistance lines based on opening prices captured at user-defined New York times. Unlike static horizontal lines, these levels automatically appear and disappear based on sophisticated session logic, providing traders with time-sensitive reference levels that adapt to market sessions.
HOW IT WORKS - TECHNICAL IMPLEMENTATION:
1.
Timezone Conversion Engine:
The script uses Pine Script's "America/New_York" timezone functions to ensure all time calculations are based on NY time, regardless of the user's chart timezone. This eliminates confusion and provides consistent behavior across global markets.
2.
Dual-Category Time Classification System:
The indicator employs a unique two-category classification system:
Category A (16:00-23:59 NY): Evening times that extend overnight until next day 15:59 NY
Category B (00:00-15:59 NY): Day times that extend until same day 15:59 NY
This classification handles the complex logic of overnight sessions and prevents lines from incorrectly resetting at midnight for evening times.
3. Price Capture Mechanism:
Uses precise time-hit detection with backup systems for edge cases (especially midnight 00:00). When a specified time occurs, the script captures the bar's opening price and stores it in persistent variables using Pine Script's var declarations.
4. Session-Aware Display Logic:
Lines only appear during their designated "display windows" - periods when the captured price level is relevant. The script uses conditional plotting with plot.style_linebr to create clean breaks when lines are inactive.
5. Smart Reset System:
Different reset behaviors based on time classification:
Category A times persist across midnight (for overnight analysis)
Category B times reset on day changes (except 00:00 which captures AT day change)
Automatic cleanup when display windows close
ORIGINALITY & UNIQUE FEATURES:
1. Overnight Session Handling:
Unlike basic horizontal line tools, this script properly handles overnight spans for evening times, making it invaluable for analyzing gaps and overnight price action.
2. Automatic Session Management:
No manual line drawing required - the script automatically manages when lines appear/disappear based on NY market sessions (15:59 close, 18:00 after-hours start).
3. Time-Window Display Logic:
Lines only show during relevant periods, reducing chart clutter and focusing attention on currently active levels.
TRADING CONCEPTS & APPLICATIONS:
1. Session-Based Analysis:
Capture opening prices at key session times:
00:00 NY: Sydney/Asian session start
03:00 NY: London pre-market
08:00 NY: London session open
09:30 NY: NYSE opening bell
18:00 NY: After-hours start
2. Gap Analysis:
Evening times (20:00-23:59) that extend overnight are particularly useful for:
Identifying potential gap-fill levels
Tracking overnight high/low breaks
Setting reference points for next-day trading
3. Support/Resistance Framework:
Opening prices at significant times often act as:
Intraday support/resistance levels
Reference points for breakout/breakdown analysis
Pivot levels for mean reversion strategies
HOW TO USE:
1. Time Input:
Enter times in "HH:MM" format using 24-hour NY time:
"09:30" for NYSE open
"15:30" for late-day reference
"20:00" for evening level (extends overnight)
2. Line Behavior:
Blue/Green/Cyan/Red lines: Your custom times
Yellow line: After-hours day open (18:00 NY start)
Lines appear with breaks during inactive periods
3. Strategic Setup:
Use 2-3 key session times for your trading style
Combine morning times (immediate reference) with evening times (overnight analysis)
Toggle after-hours line based on your market focus
CALCULATION METHOD:
The script uses direct opening price capture (no smoothing or averaging) at precise time hits, ensuring the most accurate representation of actual market levels at specified times. This raw price approach maintains the integrity of actual market opening prices rather than manipulated or calculated values.
This method is particularly effective because opening prices at significant times often represent institutional order flow and can act as magnetic levels throughout subsequent sessions.
AI-123's BTC vs Gold (Lag Correlation)
DISCLAIMER
I made this indicator with the help of ChatGPT and using what I have learned so far from The Pine Script Mastery Course, LOTS of edits based on what I have learned so far had to be made as well as additions and modifications to my liking thanks to what I have learned so far. I am aware this already exists but I have done my best to make a first ever script/indicator while learning how to properly publish as well, so please bear that in mind.
Overview
This indicator analyzes the correlation between Bitcoin (BTC) and Gold (XAUUSD), with a customizable lag applied to the Gold price, providing insight into the macro relationship between these two assets.
It is designed for traders and investors who want to track how Bitcoin and Gold move in relation to each other, particularly when Gold is lagged by a specific number of days.
Key Features:
BTC and Gold (Lagged) Price Overlay: Display Bitcoin (BTC) and Gold (XAUUSD) prices on the chart, with an adjustable lag applied to the Gold price.
Rolling Correlation Calculation: Measures the correlation between Bitcoin and lagged Gold prices over a customizable lookback period.
Adjustable Lag: The number of days that Gold is lagged relative to Bitcoin is fully customizable (default: 20 days).
Customizable Correlation Length: Allows you to choose the lookback period for the correlation (default: 50 days), providing flexibility for short-term or long-term analysis.
Normalized Plotting: Prices of Bitcoin and Gold are normalized for better visual alignment with the correlation values. BTC is divided by 1000, and Gold by 100.
Correlation Scaling: The correlation value is amplified by 10 for better visual clarity and comparison with price data.
Zero Line: Horizontal line representing a correlation of 0, making it easier to identify positive or negative correlation shifts.
Maximum Correlation Lines: Horizontal lines at +10 and -10 values for extreme correlation scenarios.
Input Settings:
Gold Symbol: Customize the Gold ticker (default: OANDA:XAUUSD).
Bitcoin Symbol: Customize the Bitcoin ticker (default: BINANCE:BTCUSDT).
Lag (in trading days): Adjust the number of trading days to lag the Gold price relative to Bitcoin (default: 20).
Correlation Length (days): Set the number of days over which the rolling correlation is calculated (default: 50).
How to Use:
Price Comparison: The BTC (Spot) and Lagged Gold plots give you a side-by-side visual comparison of the two assets, normalized for clarity.
Correlation Line: The correlation line helps you gauge the strength and direction of the relationship between BTC and lagged Gold. Positive values indicate a strong positive correlation, while negative values indicate a negative correlation.
Visual Analysis: Watch how the correlation shifts with changes in lag and correlation length to identify potential market dynamics between Bitcoin and Gold.
Potential Applications:
Macro Trading: Track how Bitcoin and Gold behave in relation to each other during periods of economic uncertainty or inflation.
Sentiment Analysis: Use the correlation data to understand the sentiment between digital and traditional assets.
Strategic Timing: Identify potential opportunities where Bitcoin and Gold show a strong correlation or diverge based on the lag adjustment.
Understanding Macro Trends/Correlations.
Disclaimer:
This indicator is for informational purposes only. The correlation between Bitcoin and Gold does not guarantee future performance, and users should conduct their own research and use risk management strategies when making trading decisions.
Notes: This script uses historical data, so results may vary across different timeframes.
Customization options allow users to adjust the lag and correlation length to better fit their trading strategy.
Future Enhancements: Additional Correlation Line: A second correlation line for different lengths of lag or different assets.
Color-Coding of Correlation: Future updates may include color-coded correlation strength, visually indicating positive or negative correlation more effectively.
Volume Profile With HVN & LVN detectorVolume Profile Indicator
Based on the works of tradeforopp
Overview
The Volume Profile Indicator is a powerful technical analysis tool that visually represents the distribution of trading volume over price levels within a specified timeframe. It helps traders identify key support and resistance zones, high-volume trading areas, and low-volume rejection zones. The indicator includes customizable settings for Volume Point of Control (VPOC), High Volume Nodes (HVNs), and Low Volume Nodes (LVNs), making it a versatile tool for price action analysis and volume-based decision-making.
Key Features
🔹 Customizable Volume Profile
Adjustable number of rows to define the resolution of the volume profile.
Configurable timeframe aggregation for profile calculation (e.g., Daily, Weekly).
Selectable price resolution timeframe for precise profile construction.
Extendable volume profile for future sessions.
Fully customizable profile color and transparency settings.
🔹 Volume Point of Control (VPOC)
Displays the most traded price level within the selected timeframe.
Option to extend multiple VPOCs across the chart.
Adjustable VPOC line width and color customization.
Option to display VPOC labels when working with higher timeframe profiles.
🔹 High Volume Nodes (HVNs)
Identifies high-volume price levels where significant trading activity has occurred.
Configurable HVN strength to adjust detection sensitivity.
Two display modes:
Lines: Plots HVN levels as horizontal lines.
Areas: Highlights HVN regions with colored boxes.
Separate bullish and bearish HVN color settings.
🔹 Low Volume Nodes (LVNs)
Identifies low-volume price levels, which often act as rejection zones.
Configurable LVN strength to fine-tune detection.
Two display modes:
Lines: Marks LVN levels as horizontal lines.
Areas: Highlights LVN regions with shaded boxes.
Separate bullish and bearish LVN color settings.
🔹 Optimized for Performance
Efficient use of arrays for data storage and retrieval.
Global functions for HVN and LVN detection.
Uses security calls to access lower timeframe price and volume data.
Use Cases
✅ Identify Support & Resistance Levels
The indicator highlights key price levels where significant buying or selling interest exists.
✅ Detect Breakout & Reversal Zones
Low-volume areas (LVNs) often indicate price rejection zones, while high-volume areas (HVNs) suggest strong price acceptance zones.
✅ Improve Trade Entries & Exits
Traders can use the Volume Point of Control (VPOC) and volume clusters to refine entry and exit points.
✅ Enhance Price Action Strategies
By incorporating volume-based analysis, this indicator provides deeper market insights beyond traditional support/resistance and trendlines.
Customization & Settings
📌 Volume Profile Settings:
Rows: Defines the granularity of the volume profile.
Profile Timeframe: Specifies the aggregation period (e.g., Daily, Weekly).
Resolution Timeframe: Determines the price resolution for volume analysis.
Profile Extend %: Controls how much the profile extends into the next session.
📌 Volume Point of Control (VPOC):
Enable/Disable VPOC visualization.
Extend past VPOC levels to the right.
Display VPOC labels for higher timeframe profiles.
Adjustable VPOC line width and color.
📌 High Volume Nodes (HVNs):
Enable/Disable HVN detection.
Define HVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish HVN colors.
📌 Low Volume Nodes (LVNs):
Enable/Disable LVN detection.
Define LVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish LVN colors.
Multi-Timeframe Open LinesThe Multi-Timeframe Open Lines indicator is designed to help traders visualize key price levels at the open of specific time intervals. It draws horizontal lines at the open of 5-minute, 15-minute, 30-minute, and hourly candles, extending these lines to the start of the next respective interval. Traders can now control which timeframes are displayed and how many past opening lines are shown, ensuring a clean and organized chart.
Key Features:
Customizable Lines:
5-Minute Lines: Highlight the open of every 5-minute candle, ending at the start of the next 5-minute candle.
15-Minute Lines: Highlight the open of every 15-minute candle, ending at the start of the next 15-minute candle.
30-Minute Lines: Highlight the open of every 30-minute candle, ending at the start of the next 30-minute candle.
Hourly Lines: Highlight the open of every hourly candle, ending at the start of the next hourly candle.
Each timeframe's lines can be customized in terms of color, line style, and thickness.
Toggle Options:
Easily turn on or off the display of lines for each timeframe (5m, 15m, 30m, 1h) using checkboxes in the settings.
User-Defined Limits:
Control the number of past opening lines displayed for each timeframe (5m, 15m, 30m, 1h).
Prevents chart clutter by limiting the number of visible lines.
Multi-Timeframe Analysis:
Enables traders to analyze price action across multiple timeframes simultaneously, providing a clearer picture of market structure and key levels.
User-Friendly Inputs:
Easy-to-use settings for customizing line appearance and behavior, ensuring the indicator fits seamlessly into any trading strategy.
How to Use:
Apply the indicator to your chart to visualize the open price levels for 5-minute, 15-minute, 30-minute, and hourly candles.
Use the lines as dynamic support/resistance levels or to identify potential breakout/breakdown points.
Customize the colors, styles, and the number of visible lines to match your chart theme or trading preferences.
Toggle specific timeframes on or off to focus on the most relevant price levels.
Ideal For:
Traders who use multi-timeframe analysis.
Those who rely on key price levels for decision-making.
Anyone looking to enhance their chart with clear, customizable reference lines while avoiding clutter.
GANN Level (Salil Sir)GANN Level Indicator Description
This Pine Script calculates and plots Gann Levels based on a user-defined price input. It creates horizontal lines at key support and resistance levels derived from the input price, applying Gann's theory of market structure. The levels are dynamically calculated and squared for enhanced precision.
Key Features:
Manual Price Input:
The user inputs a round off of square root of base price (Manual_Input), which serves as the foundation for calculations.
Support and Resistance Levels:
Six resistance levels (R1 to R6) and six support levels (S1 to S6) are calculated by incrementing or decrementing the base price in steps of 0.25.
Squared Levels:
Each level is squared (level^2) to align with Gann's mathematical principles.
Visualization:
All levels, including the base price squared (GANN), are plotted as horizontal dotted lines:
Black Line: Base price squared (Gann Level).
Green Lines: Resistance levels.
Red Lines: Support levels.
Purpose:
The indicator helps traders identify potential support and resistance zones based on Gann's methodology, providing a mathematical framework for decision-making.
Usage:
Adjust the Manual Price in the settings to the desired value.
Observe the plotted levels for key support and resistance zones on the chart.
Use these levels to make informed trading decisions or to validate other indicators.
Support and Resistance TrendlinesStrategy:
Support: Identified as the lowest low over a specific period.
Resistance: Identified as the highest high over a specific period.
Dynamic Trendlines: We’ll use the concept of a rolling window to calculate the highest highs and lowest lows over the last n bars (you can adjust the number of bars for more sensitivity).
Explanation:
Lookback Period (length): The number of bars over which we calculate the support and resistance levels. You can adjust this value depending on the timeframe and the sensitivity you want for the trendlines.
Resistance: This is the highest high over the length of bars. We use ta.highest(high, length) to find the highest high within the specified lookback period.
Support: This is the lowest low over the length of bars. We use ta.lowest(low, length) to find the lowest low within the specified lookback period.
Plotting the Lines:
We plot the support and resistance as horizontal lines on the chart using plot().
Additionally, we create dynamic trendlines that update automatically with each new bar. The line.new function creates lines that can be modified dynamically as new price data comes in.
Line Persistence:
The line functions are used to create horizontal lines that persist across bars. The trendlines adjust their position as the bars move forward.
How It Works:
This indicator will automatically detect the highest and lowest prices over the last n bars and draw support (green line) and resistance (red line) levels on the chart.
The trendlines will adjust as the market evolves and provide visual reference points for potential areas of price reversal.
How to Use This Script:
Copy and paste the Pine Script code into the Pine Script Editor on TradingView.
Save the script, and then add it to your chart.
Adjust the Lookback Period input to suit your trading strategy and timeframe.
The support and resistance levels will be drawn dynamically, and the lines will update as new bars form.
Customizations:
You can modify the number of bars (length) used to calculate support and resistance, depending on the timeframes you're interested in.
If you need more advanced trendline drawing (such as drawing trendlines between significant high/low points or automatic adjustment to more complex patterns), you might need to implement more advanced logic using peaks and valleys or price action patterns.
Let me know if you need any further adjustments!
Sri Yantra MTF - AynetSri Yantra MTF - Aynet Script Overview
This Pine Script generates a Sri Yantra-inspired geometric pattern overlay on price charts. The pattern is dynamically updated based on multi-timeframe (MTF) inputs, utilizing high and low price ranges, and adjusting its size relative to a chosen multiplier.
The Sri Yantra is a sacred geometric figure used in various spiritual and mathematical contexts, symbolizing the interconnectedness of the universe. Here, it is applied to visualize structured price levels.
Scientific and Technical Explanation
Multi-Timeframe Integration:
Base Timeframe (baseRes): This is the primary timeframe for the analysis. The opening price and ATR (Average True Range) are calculated from this timeframe.
Pattern Timeframe (patternRes): Defines the granularity of the pattern. It ensures synchronization with price movements on specific time intervals.
Geometric Construction:
ATR-Based Scaling: The script uses ATR as a volatility measure to dynamically size the geometric pattern. The sizeMult input scales the pattern relative to price volatility.
Pattern Width (barOffset): Defines the horizontal extent of the pattern in terms of bars. This ensures the pattern is aligned with price movements and scales appropriately.
Sri Yantra-Like Geometry:
Outer Square: A bounding box is drawn around the price level.
Triangles: Multiple layers of triangles (primary, secondary, and tertiary) are calculated and drawn to mimic the structure of the Sri Yantra. These triangles converge and diverge based on price levels.
Horizontal Lines: Added at key levels to provide additional structure and aesthetic alignment.
Dynamic Updates:
The pattern recalculates and redraws itself on the last bar of the selected timeframe, ensuring it adapts to real-time price data.
A built-in check identifies new bars in the chosen timeframe (patternRes), ensuring accurate updates.
Information Table:
Displays the selected base and pattern timeframes in a table format on the top-right corner of the chart.
Allows traders to see the active settings for quick adjustments.
Key Inputs
Style Settings:
Pattern Color: Customize the color of the geometric patterns.
Size Multiplier (sizeMult): Adjusts the size of the pattern relative to price movements.
Line Width: Controls the thickness of the geometric lines.
Timeframe Settings:
Base Resolution (baseRes): Timeframe for calculating the pattern's anchor (default: daily).
Pattern Resolution (patternRes): Timeframe granularity for the pattern’s formation.
Geometric Adjustments:
Pattern Width (barOffset): Horizontal width in bars.
ATR Multiplier (rangeSize): Vertical size adjustment based on price volatility.
Scientific Concepts
Volatility Representation:
ATR (Average True Range): A standard measure of market volatility, representing the average range of price movements over a defined period. Here, ATR adjusts the vertical height of the geometric figures.
Geometric Symmetry:
The script emulates symmetry similar to the Sri Yantra, aligning with the principles of sacred geometry, which often appear in nature and mathematical constructs. Symmetry in financial data visualizations can aid in intuitive interpretation of price movements.
Multi-Timeframe Fusion:
Synchronizing patterns with multiple timeframes enhances the relevance of overlays for different trading strategies. For example, daily trends combined with hourly patterns can help traders optimize entries and exits.
Visual Features
Outer Square:
Drawn to encapsulate the geometric structure.
Represents the broader context of price levels.
Triangles:
Three layers of interlocking triangles create a fractal pattern, providing a visual alignment to price dynamics.
Horizontal Lines:
Emphasize critical levels within the pattern, offering visual cues for potential support or resistance areas.
Information Table:
Displays the active timeframe settings, helping traders quickly verify configurations.
Applications
Trend Visualization:
Patterns overlay on price movements provide a clearer view of trend direction and potential reversals.
Volatility Mapping:
ATR-based scaling ensures the pattern adjusts to varying market conditions, making it suitable for different asset classes and trading strategies.
Multi-Timeframe Analysis:
Integrates higher and lower timeframes, enabling traders to spot confluences between short-term and long-term price levels.
Potential Enhancements
Add Fibonacci Levels: Overlay Fibonacci retracements within the pattern for deeper price level insights.
Dynamic Alerts: Include alert conditions when price intersects key geometric lines.
Custom Labels: Add text descriptions for critical intersections or triangle centers.
This script is a unique blend of technical analysis and sacred geometry, providing traders with an innovative way to visualize market dynamics.
Previous Daily Candle The Previous Daily Candle indicator is a powerful tool designed to enhance your intraday trading by providing clear visual cues of the previous day's price action. By outlining the high, low, open, and close of the previous daily candle and adding a middle dividing line, this indicator offers valuable context to inform your trading decisions.
🎯 Purpose
Visual Clarity: Highlight the key levels from the previous day's price movement directly on your intraday charts.
Trend Confirmation: Quickly identify bullish or bearish sentiment based on the previous day's candle structure.
Support and Resistance: Use the outlined high and low as potential support and resistance levels for your trading strategies.
Customizable Visualization: Tailor the appearance of the outlines and middle line to fit your trading style and chart aesthetics.
🛠️ Features
Outlined Candle Structure:
High and Low Lines: Clearly mark the previous day's high and low with customizable colors and line widths.
Open and Close Representation: Visualize the previous day's open and close through the outlined structure.
Middle Dividing Line:
Average Price Level: A horizontal line divides the candle in half, representing the average of the open and close prices.
Customizable Appearance: Adjust the color and thickness to distinguish it from the high and low outlines.
Bullish and Bearish Differentiation:
Color-Coded Outlines: Automatically change the outline color based on whether the previous day's candle was bullish (green by default) or bearish (red by default).
Enhanced Visual Feedback: Quickly assess market sentiment with intuitive color cues.
Customization Options:
Outline Colors: Choose distinct colors for bullish and bearish candle outlines to match your chart's color scheme.
Middle Line Color: Select a color that stands out or blends seamlessly with your existing chart elements.
Line Width Adjustment: Modify the thickness of all lines to ensure visibility without cluttering the chart.
Transparent Candle Body:
Non-Intrusive Display: The indicator only draws the outlines and middle line, keeping the candle body transparent to maintain the visibility of your primary chart data.
⚙️ How It Works
Data Retrieval: The indicator fetches the previous day's open, high, low, and close prices using TradingView's request.security function.
Candle Analysis: Determines whether the previous day's candle was bullish or bearish by comparing the close and open prices.
Dynamic Drawing: Upon the start of a new day, the indicator deletes the previous outlines and redraws them based on the latest data.
Time Synchronization: Accurately aligns the outlines with the corresponding time periods on your intraday chart.
📈 How to Use
Add to Chart:
Open TradingView and navigate to the Pine Editor.
Paste the provided Pine Script code into the editor.
Click on Add to Chart to apply the indicator.
Customize Settings:
Access the indicator's settings by clicking the gear icon next to its name on the chart.
Adjust the Bullish Outline Color, Bearish Outline Color, Middle Line Color, and Outline Width to your preference.
Interpret the Lines:
Bullish Candle: If the previous day's close is higher than its open, the outlines will display in the bullish color (default green).
Bearish Candle: If the previous day's close is lower than its open, the outlines will display in the bearish color (default red).
Middle Line: Represents the midpoint between the open and close, providing a quick reference for potential support or resistance.
Integrate with Your Strategy:
Use the high and low outlines as potential entry or exit points.
Combine with other indicators for confirmation to strengthen your trading signals.
