Cognitive Echo IndexCognitive Echo Index – User Guide
Overview
The Cognitive Echo Index is a composite indicator that combines several technical aspects—including price deviation from a moving average, normalized volatility (via ATR), and volume variations—to create a single numeric value. The output is scaled between -100 and +100, offering insights into market momentum and potential trend reversals.
How It Works
Price Component:
The indicator calculates the percentage change between the current price and its 14-period simple moving average (SMA). This helps identify how far the price deviates from its recent trend.
Volatility Component:
Using the Average True Range (ATR) over a 14-period, the script normalizes current ATR against its 14-period SMA. This shows relative volatility, highlighting unusual market activity.
Volume Component:
It computes the percentage change between the current volume and its 14-period SMA to detect spikes or drops in trading activity.
Composite Calculation:
The three components are summed together to produce the final index value, which is then clipped to remain between -100 and +100.
Interpreting the Indicator
Indicator Value Scale:
Positive Values (0 to +100):
Suggest that bullish forces are stronger. Higher values (e.g., above +50) could indicate a strong bullish sentiment.
Negative Values (0 to -100):
Indicate bearish pressures. Lower values (e.g., below -50) may signal strong bearish conditions.
Zero Level:
The midline indicates a balanced market condition with no dominant trend.
Key Horizontal Levels:
+50 Level:
When the indicator crosses above +50, it can be interpreted as a strong bullish signal.
-50 Level:
When the indicator crosses below -50, it can be considered a strong bearish signal.
Usage Tips
Confirmation Tool:
Use the Cognitive Echo Index as an additional confirmation tool in conjunction with other technical indicators or chart patterns to make more informed trading decisions.
Parameter Adjustments:
The script uses a 14-period setting for the moving average, ATR, and volume SMA by default. Depending on your trading timeframe or asset, consider tweaking these periods for better sensitivity.
Trend Analysis:
Watch how the indicator behaves during major price moves. A divergence between the index and the price trend (e.g., price rises while the index falls) may suggest a potential reversal or a false breakout.
Risk Management:
Always incorporate sound risk management practices. Use stop losses and position sizing rules, and consider the indicator as one part of your overall trading strategy.
Customization
Adjusting the Weights:
Although the current version gives equal weight to all three components, advanced users can modify the script to apply different weights to the price, volatility, and volume components based on historical performance or specific market conditions.
Adding Additional Inputs:
Future versions could incorporate external sentiment data or other technical factors if accessible. For now, the indicator focuses on technical inputs available directly within TradingView.
By following this guide, traders can integrate the Cognitive Echo Index into their TradingView platform to gain a unique perspective on market momentum and potential turning points. Enjoy testing and refining the indicator to better suit your trading style!
Indicadores e estratégias
Color candle by time
This indicator, written in Pine Script v5, allows you to highlight candles (using a user-selected color) that fall within a user-defined time range. Candles outside this range maintain their original appearance.
How it Works and Key Benefits:
- Time Interval Customization: By specifying start and end hours/minutes, you can emphasize only the desired market session.
- Choice of Preferred Color: The body, wicks, and borders of the candles within the selected range are uniformly colored, based on the user’s chosen tone.
- Enhanced Focus on Price Action: By focusing on the most relevant trading hours, your analysis becomes more streamlined and intuitive, without altering the rest of the session’s candle appearance.
!! DO NOT FORGET TO SELECT THE OPTION: 'BRING TO FRONT' IN THE INDICATOR'S VISUAL ORDER !!
Crypto Candle Low Leverage TrackerCrypto Candle Low Leverage Tracker
The Candle Low Leverage Indicator is a powerful tool for long position traders seeking to manage risk effectively when using leverage. By evaluating the current candle's low price, this indicator helps traders make more informed decisions about potential entry points, stop losses, and leverage levels. The indicator matches the low of the candle to the leverage needed for liquidation, giving you a clear view of how leverage impacts your position.
This indicator provides two critical insights:
% from Candle Low: Tracks how much the price has moved from the low of the current candle. For long position traders, this percentage is crucial for understanding how far the price has come off the low and deciding whether it’s safe to enter a position or if further price action is needed.
Leverage Needed: Estimates the leverage required to reach the candle's low as the liquidation price. Long traders can use this information to adjust leverage to a safer level, ensuring they don’t overexpose themselves to liquidation risks by matching leverage to the candle’s low.
Key Features:
Customizable table positioning (top, middle, bottom).
Toggle options to show/hide % from Candle Low and Leverage Needed.
Visual indicators with color changes: green for positive change, red for negative change, and blue for leverage requirements.
Ideal for long traders, this tool helps evaluate market conditions, manage risks, and calculate the best leverage to use in long trades, ensuring that leverage aligns with the candle’s low to prevent unnecessary liquidations.
OAT Multiple Alert ConditionsOverview:
The OAT Multiple Alert Conditions indicator is designed to enhance TradingView’s alert functionality by allowing users to set multiple conditions for webhook-based alerts. This script enables traders to define up to four independent conditions using different event types (e.g., crossing, greater than, rising, etc.), making it ideal for automated trading strategies and webhook integrations.
Features:
✅ Supports up to 4 independent conditions.
✅ Multiple event types: Crossing, Crossing Up, Crossing Down, Greater Than, Less Than, Rising, Falling.
✅ Choose between value-based or source-based conditions.
✅ Custom timeframes for each condition.
✅ Optional session filtering and expiration settings.
✅ Visual markers for triggered conditions.
✅ Alerts for individual conditions or all conditions being met.
How It Works:
Configure each condition by selecting the event type and input values.
Define whether the alert should trigger on bar close or real-time.
Enable session filtering to limit alerts to specific trading hours.
Set an expiration date for alerts if needed.
Alerts can be sent via TradingView’s webhook feature for automated execution.
Intended Use:
This script is a utility tool for traders using automated strategies with the Options Auto Trader. It does not generate trading signals or provide financial advice. It is designed to enhance alert flexibility and efficiency for trading through webhooks.
License & Compliance:
This script is published under the Mozilla Public License 2.0 and follows TradingView’s guidelines. It does not execute trades but simply provides an enhanced alerting mechanism.
Gap Detection Indicator V.1This indicator is designed to detect gaps between candles on the chart. It detects all gaps that are higher than the specified percentage setting, draws a line passing through only the starting and ending points of the last gap, and paints between these lines.
If any candle closes above the gap starting level, the lines between the lines are colored green; If any candle closes below the gap starting level, the lines between the lines are colored red.
UPDATE1:
In addition, two more gap levels were added. A date range was added to enable control within the specified date range.
Bionic -- Expected Weekly Levels (Public)This script will draw lines for Expected Weekly Levels based upon Previous Friday Close, Implied Volatility (EOD Friday), and the square root of Days to Expire (always 7) / 365.
Script will draw 2 high and low levels:
*1st levels are 1 standard deviation from the Previous Friday Close.
* 2nd levels are 2 standard deviation from the Previous Friday Close.
There are also a 1/2 Low and 1/2 Low 1st level. These are 1/2 a standard deviation and act more as a point of interest level. 1/2 levels have 34% probability.
Configurations:
* All lines styles are individually configurable
* All lines can individually be turned on/off
* Text for all lines can be changed
* Global config allows for the
* Lines to show the price on the label
* Lines to have text in the label
* Hide or show all labels
* Lines offset from price is configurable
* Label size is configurable
Turtle Soup Model [PhenLabs]📊 Turtle Soup Model
Version: PineScript™ v6
Description
The Turtle Soup Model is an innovative technical analysis tool that combines market structure analysis with inter-market comparison and gap detection. Unlike traditional structure indicators, it validates market movements against a comparison symbol (default: ES1!) to identify high-probability trading opportunities. The indicator features a unique “soup pattern” detection system, comprehensive gap analysis, and real-time structure breaks visualization.
Innovation Points:
First indicator to combine structure analysis with gap detection and inter-market validation
Advanced memory management system for efficient long-term analysis
Sophisticated pattern recognition with multi-market confirmation
Real-time structure break detection with comparative validation
🔧 Core Components
Structure Analysis: Advanced pivot detection with inter-market validation
Gap Detection: Sophisticated gap identification and classification system
Inversion Patterns: “Soup pattern” recognition for reversal opportunities
Visual System: Dynamic rendering of structure levels and gaps
Alert Framework: Multi-condition notification system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Structure Levels: Validated support and resistance zones
Gap Patterns: Identification of significant market gaps
Inversion Signals: Detection of potential reversal points
Real-time Comparison: Continuous inter-market analysis
Visual Alerts: Dynamic structure break notifications
📈 Visualization
Structure Lines: Color-coded for highs and lows
Gap Boxes: Visual representation of gap zones
Inversion Patterns: Clear marking of potential reversal points
Comparison Overlay: Inter-market divergence visualization
Alert Indicators: Visual signals for structure breaks
💡Example
📌 Usage Guidelines
The indicator offers multiple customization options:
Structure Settings:
Pivot Period: Adjustable for different market conditions
Comparison Symbol: Customizable reference market
Visual Style: Configurable colors and line widths
Gap Analysis:
Signal Mode: Choice between close and wick-based signals
Box Rendering: Automatic gap zone visualization
Middle Line: Reference point for gap measurements
✅ Best Practices:
🚨Use comparison symbol from related market🚨
Monitor both structure breaks and gap inversions
Combine signals for higher probability trades
Pay attention to inter-market divergences
⚠️ Limitations
Requires comparison symbol data
Performance depends on market correlation
Best suited for liquid markets
What Makes This Unique
Inter-market Validation: Uses comparison symbol for signal confirmation
Gap Integration: Combines structure and gap analysis
Soup Pattern Detection: Identifies specific reversal patterns
Dynamic Structure Management: Automatically updates and removes invalid levels
Memory-Efficient Design: Optimized for long-term chart analysis
🔧 How It Works
The indicator processes market data through three main components:
1. Structure Analysis:
Detects pivot points with comparison validation
Tracks structure levels with array management
Identifies and processes structure breaks
2. Gap Analysis:
Identifies significant market gaps
Processes gap inversions
Manages gap zones visualization
3. Pattern Recognition:
Detects “soup” patterns
Validates with comparison market
Generates structure break signals
💡 Note: The indicator performs best when used with correlated comparison symbols and appropriate timeframe selection. Its unique inter-market validation system provides additional confirmation for traditional structure-based trading strategies.
Live Economic CalendarLive Economic Calendar
This TradingView indicator provides real-time economic news events directly on your charts, helping traders stay informed about key market-moving data. Built on the original Forex Factory utility by toodegrees, this version enhances functionality with customizable alerts and improved visualizations.
Key Features:
Real-Time Economic News: Displays upcoming economic events from Forex Factory, categorized by impact level (High, Medium, Low, Holiday).
Custom Alerts: Set alerts before and after news events to stay prepared for market volatility.
Timezone Adjustments: Adjust news event times to match your local timezone for accurate scheduling.
Currency-Specific News: Automatically filters news based on the currency pair you’re viewing, with manual options for specific currencies.
Flexible Display Options: Choose to display news for today, this week, or a custom period. Customize labels, lines, and tables directly on the chart.
Impact Visualization: Visual cues (lines, labels, background shading) for different impact levels to highlight significant market events.
Credits:
• Original Forex Factory Utility by toodegrees
• Alerts and enhancements by Nachodog
This Pine Script™ code is licensed under the Mozilla Public License 2.0: mozilla.org
Dynamic SL - 1 Pip (Up and Down)The Dynamic SL - 1 Pip Up and Down indicator creates two dynamic lines that follow the price at a distance of 1 pip above and below the closing price. This feature can be particularly useful for traders who want to visualize small stop-loss (SL) levels or track price movement in a highly responsive manner.
Unlike traditional stop-loss indicators, this script ensures that the lines only last for 5 seconds, keeping the chart clean and focusing only on the most relevant price movement.
Key Features
✔ Dynamic Stop-Loss Visualization:
The script draws a green line above the price (+1 pip).
A red line below the price (-1 pip) is also drawn.
✔ Auto-Clearing for a Clean Chart:
Each line lasts for 5 seconds only before automatically disappearing.
This prevents unnecessary clutter on the chart and ensures only the latest price movements are visualized.
✔ Adaptable to Multiple Assets:
Automatically calculates the pip size based on the instrument type:
Forex → Uses 0.0001 per pip.
Futures & Stocks → Uses the minimum tick size.
✔ Ideal for High-Frequency Traders & Scalpers:
Designed for 1-minute (M1) or lower timeframes where traders need to monitor price action closely.
Helps visualize ultra-tight stop-loss levels in scalping strategies.
BTC Future Gamma-Weighted Momentum Model (BGMM)The BTC Future Gamma-Weighted Momentum Model (BGMM) is a quantitative trading strategy that utilizes the Gamma-weighted average price (GWAP) in conjunction with a momentum-based approach to predict price movements in the Bitcoin futures market. The model combines the concept of weighted price movements with trend identification, where the Gamma factor amplifies the weight assigned to recent prices. It leverages the idea that historical price trends and weighting mechanisms can be utilized to forecast future price behavior.
Theoretical Background:
1. Momentum in Financial Markets:
Momentum is a well-established concept in financial market theory, referring to the tendency of assets to continue moving in the same direction after initiating a trend. Any observed market return over a given time period is likely to continue in the same direction, a phenomenon known as the “momentum effect.” Deviations from a mean or trend provide potential trading opportunities, particularly in highly volatile assets like Bitcoin.
Numerous empirical studies have demonstrated that momentum strategies, based on price movements, especially those correlating long-term and short-term trends, can yield significant returns (Jegadeesh & Titman, 1993). Given Bitcoin’s volatile nature, it is an ideal candidate for momentum-based strategies.
2. Gamma-Weighted Price Strategies:
Gamma weighting is an advanced method of applying weights to price data, where past price movements are weighted by a Gamma factor. This weighting allows for the reinforcement or reduction of the influence of historical prices based on an exponential function. The Gamma factor (ranging from 0.5 to 1.5) controls how much emphasis is placed on recent data: a value closer to 1 applies an even weighting across periods, while a value closer to 0 diminishes the influence of past prices.
Gamma-based models are used in financial analysis and modeling to enhance a model’s adaptability to changing market dynamics. This weighting mechanism is particularly advantageous in volatile markets such as Bitcoin futures, as it facilitates quick adaptation to changing market conditions (Black-Scholes, 1973).
Strategy Mechanism:
The BTC Future Gamma-Weighted Momentum Model (BGMM) utilizes an adaptive weighting strategy, where the Bitcoin futures prices are weighted according to the Gamma factor to calculate the Gamma-Weighted Average Price (GWAP). The GWAP is derived as a weighted average of prices over a specific number of periods, with more weight assigned to recent periods. The calculated GWAP serves as a reference value, and trading decisions are based on whether the current market price is above or below this level.
1. Long Position Conditions:
A long position is initiated when the Bitcoin price is above the GWAP and a positive price movement is observed over the last three periods. This indicates that an upward trend is in place, and the market is likely to continue in the direction of the momentum.
2. Short Position Conditions:
A short position is initiated when the Bitcoin price is below the GWAP and a negative price movement is observed over the last three periods. This suggests that a downtrend is occurring, and a continuation of the negative price movement is expected.
Backtesting and Application to Bitcoin Futures:
The model has been tested exclusively on the Bitcoin futures market due to Bitcoin’s high volatility and strong trend behavior. These characteristics make the market particularly suitable for momentum strategies, as strong upward or downward movements are often followed by persistent trends that can be captured by a momentum-based approach.
Backtests of the BGMM on the Bitcoin futures market indicate that the model achieves above-average returns during periods of strong momentum, especially when the Gamma factor is optimized to suit the specific dynamics of the Bitcoin market. The high volatility of Bitcoin, combined with adaptive weighting, allows the model to respond quickly to price changes and maximize trading opportunities.
Scientific Citations and Sources:
• Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65–91.
• Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 81(3), 637–654.
• Fama, E. F., & French, K. R. (1992). The Cross-Section of Expected Stock Returns. The Journal of Finance, 47(2), 427–465.
GWAP (Gamma Weighted Average Price)Gamma Weighted Average Price (GWAP) Indicator
The Gamma Weighted Average Price (GWAP) is a dynamic financial indicator that applies exponentially decaying weights to historical prices to calculate a weighted average. The method leverages the exponential decay function, controlled by a gamma factor, to prioritize recent price data while gradually diminishing the influence of older observations. This approach builds upon techniques commonly found in time-series analysis, including Exponentially Weighted Moving Averages (EWMA), which are extensively used in financial modeling (Campbell, Lo & MacKinlay, 1997).
Theoretical Context and Justification
The gamma-weighted approach follows principles similar to those in Exponentially Weighted Moving Averages (EWMA), often used in volatility modeling, where weights decay exponentially over time. The exponential decay model can improve signal responsiveness compared to simple moving averages (Hyndman & Athanasopoulos, 2018). This design helps capture recent market dynamics without ignoring past trends, a common requirement in high-frequency trading systems (Bandi & Russell, 2006).
Practical Applications
1. Trend Detection:
The GWAP can help identify bullish and bearish trends:
• When the price is above GWAP, the market exhibits bullish momentum.
• Conversely, when the price is below GWAP, bearish momentum prevails.
2. Volatility Filtering:
Because of the gamma weighting mechanism, GWAP reduces the noise commonly seen in volatile markets, making it a useful tool for traders looking to smooth price fluctuations while retaining actionable signals.
3. Crossovers for Trade Signals:
Similar to moving average strategies, traders can use price crossovers with the GWAP as trade signals:
• Buy Signal: When the price crosses above the GWAP.
• Sell Signal: When the price crosses below the GWAP.
4. Adaptive Gamma Weighting:
The gamma factor allows for further customization.
• Higher gamma values (>1) place greater emphasis on older data, suitable for long-term trend analysis.
• Lower gamma values (<1) heavily weight recent price movements, ideal for fast-moving markets.
Example Use Case
A trader analyzing the S&P 500 may use a gamma factor of 0.92 with a 14-period GWAP to detect shifts in market sentiment during periods of heightened volatility. When the index price crosses above the GWAP, this could signal a potential recovery, prompting a buy entry. Conversely, when the price moves below the GWAP during a correction, it may suggest a short-selling opportunity.
Scientific References
• Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997). The Econometrics of Financial Markets. Princeton University Press.
• Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: Principles and Practice. OTexts.
• Bandi, F. M., & Russell, J. R. (2006). Microstructure Noise, Realized Variance, and Optimal Sampling. Econometrica.
VWAP + KCVolume Weighted Average Price (VWAP) is a technical analysis tool used to measure the average price weighted by volume. VWAP is typically used with intraday charts as a way to determine the general direction of intraday prices. It's similar to a moving average in that when price is above VWAP, prices are rising and when price is below VWAP, prices are falling. VWAP is primarily used by technical analysts to identify market trend.
The Keltner Channels (KC) indicator is a banded indicator similar to Bollinger Bands and Moving Average Envelopes. They consist of an Upper Envelope above a Middle Line as well as a Lower Envelope below the Middle Line. The Middle Line is a moving average of price over a user-defined time period. Either a simple moving average or an exponential moving average are typically used. The Upper and Lower Envelopes are set a (user-defined multiple) of a range away from the Middle Line. This can be a multiple of the daily high/low range, or more commonly a multiple of the Average True Range.
Fib Speed Resistance Fan"Fib Speed Resistance Fan," automatically draws Fibonacci Speed Resistance Fan lines based on the first and third candles of the trading session. Here’s a breakdown of its functionality:
Functionality
Session Start Time Identification
The script identifies the first candle at 9:15 AM using timestamp(), which ensures it captures the market's opening candle.
Candle Indexing
It determines the index of the first candle (firstCandleIndex) using ta.barssince(time >= sessionStart).
The third candle is found by adding two bars to the first candle's index (thirdCandleIndex = firstCandleIndex + 2).
Ensuring Single Execution
A boolean flag hasDrawn ensures that the lines are drawn only once and do not update on future candles.
Validating Data
It checks if the firstCandleIndex and thirdCandleIndex are valid (validSession).
If conditions are met, it extracts the highs and lows of the first and third candles.
Fibonacci Calculation
The script calculates a 0.75 level price between the first candle high/low and third candle low/high.
This level helps in drawing intermediate Fibonacci fan lines.
Drawing the Fibonacci Speed Resistance Fan
If conditions are valid and hasDrawn is false, the script draws:
Main fan lines from:
First candle high → Third candle low (Blue line)
First candle low → Third candle high (Blue line)
Sma Indicator with Ratio (pr)SMA Indicator with Ratio (PR) is a technical analysis tool designed to provide insights into the relationship between multiple Simple Moving Averages (SMAs) across different time frames. This indicator combines three key SMAs: the 111-period SMA, 730-period SMA, and 1400-period SMA. Additionally, it introduces a ratio-based approach, where the 730-period SMA is multiplied by factors of 2, 3, 4, and 5, allowing users to analyze potential market trends and price movements in relation to different SMA levels.
What Does This Indicator Do?
The primary function of this indicator is to track the movement of prices in relation to several SMAs with varying periods. By visualizing these SMAs, users can quickly identify:
Short-term trends (111-period SMA)
Medium-term trends (730-period SMA)
Long-term trends (1400-period SMA)
Additionally, the multiplied versions of the 730-period SMA provide deeper insights into potential price reactions at different levels of market volatility.
How Does It Work?
The 111-period SMA tracks the shorter-term price trend and can be used for identifying quick market movements.
The 730-period SMA represents a longer-term trend, helping users gauge overall market sentiment and direction.
The 1400-period SMA acts as a very long-term trend line, giving users a broad perspective on the market’s movement.
The ratio-based SMAs (2x, 3x, 4x, 5x of the 730-period SMA) allow for an enhanced understanding of how the price reacts to higher or lower volatility levels. These ratios are useful for identifying key support and resistance zones in a dynamic market environment.
Why Use This Indicator?
This indicator is useful for traders and analysts who want to track the interaction of price with different moving averages, enabling them to make more informed decisions about potential trend reversals or continuations. The added ratio-based values enhance the ability to predict how the market might react at different levels.
How to Use It?
Trend Confirmation: Traders can use the indicator to confirm the direction of the market. If the price is above the 111, 730, or 1400-period SMA, it may indicate an uptrend, and if below, a downtrend.
Support/Resistance Levels: The multiplied versions of the 730-period SMA (2x, 3x, 4x, 5x) can be used as dynamic support or resistance levels. When the price approaches or crosses these levels, it might indicate a change in the trend.
Volatility Insights: By observing how the price behaves relative to these SMAs, traders can gauge market volatility. Higher multiples of the 730-period SMA can signal more volatile periods where price movements are more pronounced.
Price Step Channel [BigBeluga]Price Step Channel is designed to provide a structured look at price trends through a dynamic step line channel, highlighting trend direction and volatility boundaries.
🔵 Key Features:
Step Line with Boundaries: The central step line adjusts with price movements, creating upper and lower boundaries based on price volatility. The channel is green during uptrends and red during downtrends, visually signaling the trend’s direction.
Fakeout Markers: "✖" markers identify potential fakeouts—moments when the price breaches the channel boundary without confirming a trend change. These markers help you spot possible mean reversion points.
Dynamic Boundary Labels: Labels at the end of the channel show the price levels of the upper and lower boundaries. In uptrends, the upper label turns green; in downtrends, the lower label turns red, providing an instant read on the trend's direction.
Customizable Display: You can toggle off the boundaries and labels for a cleaner view, focusing only on the step line and its color-coded trend signals.
🔵 When to Use:
Price Step Channel is ideal for traders looking to follow structured trends with defined volatility boundaries. The step line and color-coded channel provide clear trend insights, while the fakeout markers and customizable display options enhance flexibility in different market conditions. Whether you’re focusing on clean trend signals or detailed boundary interactions, this tool adapts to your style.
Excess Liquidity IndicatorExcess Liquidity Indicator
This script visualizes excess liquidity trends in relation to risk assets. It estimates excess liquidity by combining various macroeconomic factors such as WW M2 money supply, central bank balance sheets, and interest rates, oil, and the dollar index, and it substracts WW GDP. The tool helps traders analyze liquidity-driven market trends in a structured manner.
Note: This script is for research purposes only and does not provide financial advice.
I cannot point names cause I get banned but work is inspired by others...
Fibonacci Volume Profiles [AlgoAlpha]Unlock a deeper understanding of price action with the Fibonacci Volume Profiles indicator by AlgoAlpha! This powerful tool blends Fibonacci retracement levels with customizable volume profiles, helping traders identify high-probability areas of support, resistance, and accumulation. Designed for both continuous dynamic levels and custom time periods, this indicator is a must-have for traders seeking confluence in market structure analysis.
🔑 Key Features
📈 Dual Mode Selection : Choose between Continuous Fibonacci levels, which adapt dynamically to pivots, or a Custom Period mode, where you set your own start and end points.
📊 Integrated Volume Profile : Visualize volume distributions at key Fibonacci retracement levels, revealing areas of strong buying/selling interest.
🎨 Customizable Colors & Transparency : Adjust Fibonacci level colors, fill zones, and profile transparency for a visually clear experience.
🔍 Profile Resolution & Scaling : Control the number of price levels and width of the volume profile for detailed market insights.
🛠 Extendable Levels : Optionally extend Fibonacci levels to the right of the chart for better visualization of future price interaction.
📌 How to Use
Add the Indicator: Click on the star icon to add it to your favorites and apply it to your TradingView chart.
Analyze The Market: Observe how price interacts with Fibonacci levels alongside the volume profile to confirm support/resistance zones. Switch between custom range or continuous mode to align the tool with your trading style.
⚙️ How It Works
The indicator calculates pivot highs/lows dynamically (or uses user-defined time periods) to plot Fibonacci retracement levels. It then builds a volume profile by analyzing historical volume data, grouping it into price bins to highlight volume-heavy zones. The Point of Control (PoC) is identified as the level with the highest traded volume, acting as a key price magnet. The color-coded Fibonacci levels help traders spot retracement zones, while the volume profile confirms strength or weakness in those areas.
Volume Delta with PVSRAVolume Delta with PVSRA
Volume Delta with PVSRA is an advanced volume indicator that dissects each bar’s volume into its directional components using higher resolution data. It visually distinguishes between buying and selling volume, so that for a bullish candle the bottom portion represents buying volume and for a bearish candle it represents selling volume. A dot is plotted at the 50% mark of the candle’s total volume, serving as a clear reference point.
Key Features:
Directional Volume Breakdown:
The indicator calculates the delta volume by analyzing lower timeframe data. The bottom portion of a bullish candle (displayed in green) represents buying volume, while that of a bearish candle (displayed in red) represents selling volume.
PVSRA Analysis:
Using Price-Volume Spread Range Analysis, the indicator compares the current volume to the 10-bar average. When volume is significantly higher (using thresholds of 150% and 200%), the candle borders are highlighted in custom colors, indicating medium or strong volume conditions.
Volume Moving Averages:
Three moving averages are plotted:
Total Volume MA (yellow): Tracks overall volume.
Buying Volume MA (green) and Selling Volume MA (red): These are re-centered around the total volume MA. A crossover of the green over the red typically signals rising buying pressure, while the opposite indicates increasing selling pressure.
Scalable Volume Bars:
The indicator scales the volume bars to provide optimal visualization on your chart.
Setup Instructions:
For best results, open your chart settings, navigate to the Canvas tab, and set the bottom margin to 0%. This ensures the indicator displays like a standard volume indicator without any unwanted gaps at the bottom.
Customize the various settings—including colors, border opacity, and moving average parameters—to suit your trading style.
Moving Average Crossover StrategyCertainly! Below is an example of a professional trading strategy implemented in Pine Script for TradingView. This strategy is a simple moving average crossover strategy, which is a common approach used by many traders. It uses two moving averages (a short-term and a long-term) to generate buy and sell signals.
Input Parameters:
shortLength: The length of the short-term moving average.
longLength: The length of the long-term moving average.
Moving Averages:
shortMA: The short-term simple moving average (SMA).
longMA: The long-term simple moving average (SMA).
Conditions:
longCondition: A buy signal is generated when the short-term MA crosses above the long-term MA.
shortCondition: A sell signal is generated when the short-term MA crosses below the long-term MA.
Trade Execution:
The strategy enters a long position when the longCondition is met.
The strategy enters a short position when the shortCondition is met.
Plotting:
The moving averages are plotted on the chart.
Buy and sell signals are plotted as labels on the chart.
How to Use:
Copy the script into TradingView's Pine Script editor.
Adjust the shortLength and longLength parameters to fit your trading style.
Add the script to your chart and apply it to your desired timeframe.
Backtest the strategy to see how it performs on historical data.
This is a basic example, and professional traders often enhance such strategies with additional filters, risk management rules, and other indicators to improve performance.
3-1 Setup Detector (Multi-Timeframe)📌 3-1 Setup Detector (Multi-Timeframe) – Description
The 3-1 Setup Detector (Multi-Timeframe) is a powerful price action indicator designed for The Strat trading method. It automatically detects 3-1 setups, where an outside bar (3) is followed by an inside bar (1), signaling potential breakout opportunities.
🔥 Key Features:
✅ Multi-Timeframe Support – Works on 1H, 2H, 3H, 4H, 6H, 12H, Daily, 2D, 3D, Weekly, 2W, 3W, Monthly, Quarterly
✅ Real-Time Alerts – Get notified when a 3-1 setup forms
✅ Easy Visualization – Plots markers on the chart for quick recognition
✅ Customizable Timeframe – Select a specific higher timeframe for confirmation
📊 How It Works:
Identifies an outside bar (3), where the high is higher and the low is lower than the previous bar.
Detects an inside bar (1), where the high is lower and the low is higher than the previous bar.
If a 3-1 sequence occurs, the indicator marks the setup on the chart and triggers an alert.
🎯 Trading Applications:
Breakout Strategy: Trade breakouts when the 3-1 setup forms near key levels.
Reversal Signals: Use in combination with support/resistance for confirmation.
Multi-Timeframe Analysis: Detect setups on higher timeframes while trading lower ones.
🚀 Perfect for traders who use The Strat method and want real-time, high-probability trade setups across multiple timeframes!
Multiple Candlestick Patterns - AlgomaxxA comprehensive candlestick pattern detection indicator that identifies seven major Japanese candlestick patterns in real-time. This indicator helps traders identify potential reversal and continuation patterns with customizable visual alerts and labels.
Features
Detects 7 major candlestick patterns:
Doji
Hammer
Shooting Star
Bullish Engulfing
Bearish Engulfing
Morning Star
Evening Star
Color-coded candlesticks for easy pattern identification
Customizable pattern indicators above/below candles
Optional pattern labels with adjustable position
Alert conditions for each pattern
Grouped settings for easy customization
Settings
General Settings
Lookback Period: Number of candles to analyze (default: 20)
Body Size Threshold: Minimum relative size for candle body (default: 0.6)
Pattern Settings
Toggle visibility for each pattern type:
Doji Pattern
Hammer Pattern
Shooting Star Pattern
Bullish Engulfing Pattern
Bearish Engulfing Pattern
Morning Star Pattern
Evening Star Pattern
Label Settings
Show Labels: Toggle pattern labels on/off
Label Text Color: Customize label color
Label Position: Choose between Left/Center/Right alignment
Label Offset: Adjust distance of labels from candles
Pattern Descriptions
Doji: Shows indecision when open and close prices are very close
Yellow color
Cross symbol below candle
Hammer: Potential bullish reversal with long lower shadow
Green color
Triangle up symbol below candle
Shooting Star: Potential bearish reversal with long upper shadow
Red color
Triangle down symbol above candle
Bullish Engulfing: Bullish reversal pattern where current green candle completely engulfs previous red candle
Light green color
Triangle up symbol below candle
Bearish Engulfing: Bearish reversal pattern where current red candle completely engulfs previous green candle
Light red color
Triangle down symbol above candle
Morning Star: Three-candle bullish reversal pattern
Seafoam green color
Triangle up symbol below candle
Evening Star: Three-candle bearish reversal pattern
Pink red color
Triangle down symbol above candle
How to Use
Add the indicator to your chart
Customize the settings based on your preferences:
Enable/disable specific patterns you want to monitor
Adjust label settings for better visibility
Set up alerts for patterns you want to be notified about
Pattern Recognition:
Watch for color changes in candlesticks indicating pattern formation
Look for shape indicators above/below candles
Read pattern labels for quick pattern identification
Trading Suggestions:
Use in conjunction with other technical indicators
Consider overall trend and support/resistance levels
Confirm patterns with volume and price action
Wait for pattern completion before making trading decisions
Tips
Patterns work best when used with multiple timeframes
Combine with trend lines and support/resistance levels
Use volume to confirm pattern strength
Consider market context and overall trend
Larger timeframes typically produce more reliable signals
Use alerts to avoid missing important pattern formations
Disclaimer
This indicator is for informational and educational purposes only. No guarantee is made regarding the accuracy of pattern detection or potential future price movements. Always use proper risk management and consider multiple factors before making trading decisions.
CMP vs ATH PercentageThis indicator helps traders and investors track how the current market price (CMP) compares to the all-time high (ATH) price of an asset. It calculates the percentage difference between the CMP and ATH and displays it visually on the chart. A label is placed on the latest bar, showing key information like:
ATH (All-Time High Price)
CMP (Current Market Price)
Percentage Comparison (CMP as a percentage of ATH)
Additionally, the indicator plots a horizontal line at the ATH level to provide a clear visual reference for the price history.
Use Cases:
Identify price levels relative to historical highs.
Gauge whether the price is nearing or far from its ATH.
Quickly assess how much the price has recovered or declined from the ATH.
Customization:
You can modify the label's style, color, or text formatting according to your preferences. This indicator is useful for long-term analysis, especially when tracking stocks, indices, or other financial instruments on a weekly timeframe.
Note:
This indicator is designed to work on higher timeframes (e.g., daily or weekly) where ATH levels are more meaningful.
Engulfing Pattern with Volume and EMAs
**Strategy Overview:
This strategy combines price action (Engulfing patterns), volume analysis, trend confirmation (EMAs), and noise reduction (ATR filter) to generate high-probability trading signals.
Engulfing Pattern with Volume, EMAs, and Market Noise Filter**
This strategy identifies bullish and bearish Engulfing candlestick patterns, combined with volume analysis, moving averages (EMAs), and a market noise filter to generate trading signals.
**Key Components:**
1. **Engulfing Pattern Detection:**
- **Bullish Engulfing**: A green candle completely engulfs the previous red candle.
- **Bearish Engulfing**: A red candle completely engulfs the previous green candle.
2. **Volume Filter:**
- Signals are validated only if the current volume is higher than the 20-period Simple Moving Average (SMA) of volume.
3. **EMA Indicators:**
- Three EMAs are plotted: 50-period (blue), 89-period (orange), and 200-period (red).
- These EMAs help identify the trend direction and provide additional confirmation.
4. **Market Noise Filter:**
- Uses the Average True Range (ATR) to filter out insignificant price movements.
- A signal is considered valid only if the price movement (absolute difference between open and close) is greater than 0.5 times the 14-period ATR.
**Trading Signals:**
**Buy Signal**:
- Bullish Engulfing pattern + High volume (above SMA 20) + Significant price movement (filtered by ATR).
- Plotted as a green "BUY" label below the candle.
**Sell Signal**:
- Bearish Engulfing pattern + High volume (above SMA 20) + Significant price movement (filtered by ATR).
- Plotted as a red "SELL" label above the candle.
**Customization:**
- Users can adjust EMA lengths, volume SMA period, and ATR multiplier to suit their trading preferences.
