Infinity Market Grid -AynetConcept
Imagine viewing the market as a dynamic grid where price, time, and momentum intersect to reveal infinite possibilities. This indicator leverages:
Grid-Based Market Flow: Visualizes price action as a grid with zones for:
Accumulation
Distribution
Breakout Expansion
Volatility Compression
Predictive Dynamic Layers:
Forecasts future price zones using historical volatility and momentum.
Tracks event probabilities like breakout, fakeout, and trend reversals.
Data Science Visuals:
Uses heatmap-style layers, moving waveforms, and price trajectory paths.
Interactive Alerts:
Real-time alerts for high-probability market events.
Marks critical zones for "buy," "sell," or "wait."
Key Features
Market Layers Grid:
Creates dynamic "boxes" around price using fractals and ATR-based volatility.
These boxes show potential future price zones and probabilities.
Volatility and Momentum Waves:
Overlay volatility oscillators and momentum bands for directional context.
Dynamic Heatmap Zones:
Colors the chart dynamically based on breakout probabilities and risk.
Price Path Prediction:
Tracks price trajectory as a moving "wave" across the grid.
How It Works
Grid Box Structure:
Upper and lower price levels are based on ATR (volatility) and plotted dynamically.
Dashed green/red lines show the grid for potential price expansion zones.
Heatmap Zones:
Colors the background based on probabilities:
Green: High breakout probability.
Blue: High consolidation probability.
Price Path Prediction:
Forecasts future price movements using momentum.
Plots these as a dynamic "wave" on the chart.
Momentum and Volatility Waves:
Shows the relationship between momentum and volatility as oscillating waves.
Helps identify when momentum exceeds volatility (potential breakouts).
Buy/Sell Signals:
Triggers when price approaches grid edges with strong momentum.
Provides alerts and visual markers.
Why Is It Revolutionary?
Grid and Wave Synergy:
Combines structural price zones (grid boxes) with real-time momentum and volatility waves.
Predictive Analytics:
Uses momentum-based forecasting to visualize what’s next, not just what’s happening.
Dynamic Heatmap:
Creates a living map of breakout/consolidation zones in real-time.
Scalable for Any Market:
Works seamlessly with forex, crypto, and stocks by adjusting the ATR multiplier and box length.
This indicator is not just a tool but a framework for understanding market dynamics at a deeper level. Let me know if you'd like to take it even further — for example, adding machine learning-inspired probability models or multi-timeframe analysis! 🚀
Bandas e Canais
MM8 Professional Regression Histogram
The MM8 Professional Regression Histogram is a cutting-edge TradingView script designed to provide traders with advanced visual insights using regression analysis. This tool is particularly useful for identifying price trends and volatility zones with precision. Its unique approach combines a regression channel with a histogram representation, enabling users to better understand price behavior and distribution.
Key Features:
Dynamic Regression Channel:
Utilizes linear regression to calculate a price channel over a customizable period (Length).
Automatically adjusts the width of the channel using a Multiplier based on market volatility.
Supports user-defined Line Styles (solid, dashed, dotted) for clear visualization.
Gradient-Based Channel Visualization:
The upper and lower channel lines are color-coded with a gradient that transitions between user-specified colors.
This provides a visually intuitive way to understand price movement within the channel.
Interactive Histogram:
Displays a histogram representing price distribution across segmented bins within the channel.
The histogram dynamically updates based on the number of bins (Bins Number) and reflects the density of price action in each section.
Customizable histogram color for better integration with individual chart setups.
Custom Styling Options:
Flexible options to tailor the appearance, including:
Channel colors (upper and lower).
Histogram bin color.
Toggle the histogram display on or off.
Accurate and Real-Time Calculations:
Implements robust mathematical techniques for regression analysis.
Dynamically recalculates at each bar close to ensure the most accurate representation of the market.
Applications:
Trend Analysis: The regression channel helps identify prevailing market trends by tracking price movement and its deviation from the channel center.
Volatility Detection: The histogram bins provide a visual representation of volatility within the channel, highlighting areas of price congestion and low volatility.
Scalping and Range Trading: With its granular segmentation, the tool is perfect for scalpers and range traders seeking to pinpoint high-probability trade zones.
Enhanced Decision Making: By combining regression channels with histogram visualization, traders gain a comprehensive understanding of both trend direction and price distribution.
Why Choose MM8 Professional Regression Histogram ?
This tool is built on state-of-the-art financial modeling principles, making it a unique addition to any trader's toolkit. Whether you are a beginner or an advanced trader, this script offers a level of precision and customization rarely seen in traditional indicators.
Make informed decisions and gain a competitive edge in the market with MM8 Regression Histogram. Your path to smarter trading starts here.
Cosmic Cycle Trader -AYNETThe "Cosmic Cycle Trader 🌌"
Here's a summarized breakdown of the code:
Inputs
Orbital Periods (Moving Averages):
User specifies moving average (MA) periods as a comma-separated string (e.g., "10,20,50,100").
Predefined colors for each MA are used.
Fibonacci Sphere Levels:
User specifies Fibonacci retracement levels as a string (e.g., "0.236,0.382,0.618,1.0").
Color customization for Fibonacci levels is included.
Gravitational Pull (Signal Thresholds):
Configurable thresholds (buy_pull and sell_pull) to define signal triggers.
Alerts can be toggled on or off.
Core Features
Helper Functions:
parse_floats: Converts a comma-separated string into an array of floating-point numbers.
parse_ints: Converts a comma-separated string into an array of integers.
Orbital Periods (Moving Averages):
Moving averages are calculated for the given periods using the ta.sma function.
Each MA is stored in an array and plotted on the chart with a unique color.
Fibonacci Spheres:
Fibonacci levels are calculated based on the high and low of the current bar.
These levels are plotted as circles, visually indicating key price zones.
Signals:
Buy Signal: Triggered when:
The price closes above the highest MA.
The price is between specific Fibonacci levels.
Sell Signal: Triggered when:
The price closes below the lowest MA.
The price is below specific Fibonacci levels.
Alerts:
Alerts are created for buy and sell signals.
Signals are also annotated on the chart with labels and shapes.
Visual Elements
Plots:
Moving averages are plotted with distinct colors and line widths.
Fibonacci spheres are plotted as circles with customizable transparency.
Shapes:
Triangles indicate buy (green) and sell (red) signals on the chart.
Labels:
Buy signals display a "🌕 Buy" label.
Sell signals display a "🌑 Sell" label.
Purpose
This indicator helps traders identify potential buy and sell zones based on:
Moving average trends (orbital periods).
Key Fibonacci retracement levels.
Configurable thresholds (gravitational pull).
This combination of technical analysis tools makes it a visually appealing and functional indicator for traders.
Fibonacci Rainbow Day Trade-AYNETSummary of the "Fibonacci Rainbow Day Trade"
This script dynamically calculates Fibonacci retracement levels based on the daily high and low and plots them as colorful lines on the chart. It is designed for day traders to visually identify potential support and resistance zones using Fibonacci levels.
Key Features:
Dynamic Fibonacci Levels:
Levels are calculated using the daily high (day_high) and low (day_low).
Default levels: 0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.
These levels represent key areas where price is likely to react.
Colorful Rainbow Visualization:
Each Fibonacci level is represented by a unique color.
Colors are defined in a rainbow_colors array: red, orange, yellow, green, blue, purple, teal.
Customizable Inputs:
Users can modify the Fibonacci levels, line thickness (fibo_line_width), and whether to show labels.
Labels display the level percentage (e.g., 0.236) at their respective lines.
Optional Labels:
The script includes labels that annotate each Fibonacci level on the chart.
Labels are placed beside the corresponding lines for clarity.
Works on Any Timeframe:
Although the levels are based on the daily high/low, the script can be applied to any intraday timeframe.
Use Case:
Identify Support and Resistance Zones:
Watch for price reactions near Fibonacci levels to determine potential entry/exit points.
Dynamic Updates:
Fibonacci levels are updated daily, ensuring they remain relevant for intraday trading.
Custom Visualization:
Adjust levels, colors, and display options to suit your trading style.
Example Calculation:
Daily High: $120
Daily Low: $100
Fibonacci 0.618 Level: $100 + ($120 - $100) * 0.618 = $111.36
This script provides a visually appealing and effective way to incorporate Fibonacci levels into day trading strategies. 🌈
GP - SRSI ChannelGP - SRSI Channel Indicator
The GP - SRSI Channel is a channel indicator derived from the Stochastic RSI (SRSI) oscillator. It combines SRSI data from multiple timeframes to analyze minimum, maximum, and closing values, forming a channel based on these calculations. The goal is to identify overbought and oversold zones with color coding and highlight potential trading opportunities by indicating trend reversal points.
How It Works
SRSI Calculation: The indicator calculates the Stochastic RSI values using open, high, low, and close prices from the selected timeframes.
Channel Creation: Minimum and maximum values derived from these calculations are combined across multiple timeframes. The midpoint is calculated as the average of these values.
Color Coding: Zones within the channel are color-coded with a gradient from red to green based on the ratios. Green zones typically indicate selling opportunities, while red zones suggest buying opportunities.
Visual Elements:
The channel boundaries (min/max) are displayed as lines.
Overbought/oversold regions (95-100 and 0-5) are highlighted with shaded areas.
Additional explanatory labels are placed on key levels to guide users.
How to Use
Trading Strategy: This indicator can be used for both trend following and identifying reversal points. Selling opportunities can be evaluated when the channel reaches the upper green zone, while buying opportunities can be considered in the lower red zone.
Timeframe Selection: Users can analyze multiple timeframes simultaneously to gain a broader perspective.
Customization: RSI and Stochastic RSI parameters are adjustable, allowing users to tailor the indicator to their trading strategies.
Important Note
This indicator is for informational purposes only and should not be used as a sole basis for trading decisions. Please validate the results of the indicator with your own analysis.
MA Rainbow-AYNETSummary of the "MA Rainbow"
The 200 MA Rainbow script creates a visually appealing representation of multiple moving averages (MAs) with varying lengths and colors to provide insights into price trends and market momentum.
Key Features:
Base Moving Average:
A starting point (ma_length, default 200) is used as the foundation for all other bands.
Rainbow Bands:
The script generates multiple moving averages (bands) with increasing lengths, spaced by a user-defined band_spacing multiplier.
The number of bands is controlled by rainbow_bands, allowing up to 7 bands.
Moving Average Types:
Users can select the MA type: Simple (SMA), Exponential (EMA), or Weighted (WMA).
Dynamic Colors:
Each band is assigned a unique color from a predefined rainbow palette, making the chart visually distinct.
Inputs for Customization:
ma_length: Adjust the base period of the moving average.
rainbow_bands: Set the number of bands to display.
band_spacing: Control the spread between bands.
How It Works:
Precomputing Bands:
Each band’s length is calculated based on the base length (ma_length) and a multiplier (band_spacing).
For example, if ma_length = 200 and band_spacing = 0.2, the lengths of the first 3 bands will be:
Band 1: 200
Band 2: 240
Band 3: 280
Global Plotting:
Each band’s moving average is precomputed using the selected type (SMA, EMA, or WMA).
Bands are plotted globally to avoid scope issues, ensuring compatibility with Pine Script rules.
Color Cycling:
Colors are assigned dynamically from a rainbow palette (red, orange, yellow, green, blue, purple, teal).
Use Case:
The 200 MA Rainbow helps traders:
Visualize market trends with multiple layers of moving averages.
Identify areas of support and resistance.
Gauge momentum through the spread and alignment of bands.
Customization:
Users can:
Change the base moving average length (ma_length).
Adjust the number of bands (rainbow_bands).
Control the spread between bands with band_spacing.
Select the moving average type (SMA, EMA, WMA).
Application:
Copy the script into the Pine Editor in TradingView.
Apply it to your chart to observe the Rainbow MA visualization.
Adjust inputs to match your trading style or strategy.
This script is a versatile tool for both beginner and advanced traders, providing a colorful way to track price trends and market conditions. 🌈
SessionsOverview of the "Sessions" Indicator
The "Sessions" indicator is a powerful tool designed for traders who want to visualize and analyze the market activity during different global trading sessions directly on their charts. This indicator highlights the London, New York, Tokyo, and Sydney sessions with distinct background colors, making it easy to see when each market is open.
Key Features
Session Visualization: The indicator provides clear visual cues for the active trading sessions, allowing traders to quickly identify periods of high market activity.
Customizable Timeframes: Users can set their preferred resolution for viewing session data, making it adaptable to any trading strategy.
Automatic Session Detection: The indicator automatically detects the start and end of each session based on specified times, updating in real-time as the market progresses.
Practical Applications
Trend Identification: By observing how prices move during specific sessions, traders can identify trends and make informed predictions about future price movements.
Volatility Analysis: Different sessions often exhibit varying levels of volatility. This indicator helps traders anticipate potential price spikes or lulls during these times.
Strategy Optimization: Traders can optimize their strategies by focusing on sessions that align with their trading style, whether it's the high volatility of the London session or the quieter Sydney session.
Market Overlap: The indicator makes it easy to see when sessions overlap, which is typically when the market experiences increased liquidity and volatility.
Conclusion
The "Sessions" indicator is an essential tool for traders looking to enhance their market analysis by visualizing global trading sessions. Whether you're a day trader seeking to capitalize on volatile market conditions or a swing trader looking for optimal entry and exit points, this indicator provides valuable insights into market dynamics.
Dynamic Supply & Demand Zones- AYNETSummary of the Code: Dynamic Supply & Demand Zones
This Pine Script creates dynamic supply (resistance) and demand (support) zones on a chart by identifying the highest and lowest prices over a user-defined lookback period. It visualizes these zones with shaded regions and horizontal lines that dynamically adjust to price movements.
Key Features:
Dynamic Support Zone (Demand):
Calculated using the lowest price in the last lookback bars.
Creates a shaded region around this price, extended up and down by a user-defined zone width.
Horizontal lines clearly mark the top and bottom of the demand zone.
Dynamic Resistance Zone (Supply):
Calculated using the highest price in the last lookback bars.
Similarly, a shaded region and lines are drawn for this zone, representing supply.
Customizable Inputs:
lookback: Number of bars to calculate the highest and lowest prices.
zone_width: The buffer distance above/below the highest/lowest price to create the zone.
Colors: Separate color inputs for the fill and lines of support and resistance zones.
Dynamic Updates:
Both zones update automatically as new bars are added and the highest/lowest prices change.
Visual Representation:
The script uses plot to create shaded regions and line objects to draw horizontal boundaries.
How It Works:
Inputs:
The user provides a lookback period and zone_width.
Calculations:
Lowest price in the last lookback bars defines the support zone.
Highest price in the same period defines the resistance zone.
Plotting:
The zones are plotted with shaded regions and dynamic lines.
Use Case:
This indicator helps identify key price levels where supply (resistance) or demand (support) is likely to affect price movement.
Useful for traders who rely on support/resistance levels in their strategies.
Let me know if you'd like further enhancements or integrations! 😊
Dynamic Trend Lines-AYNETCode Summary: Dynamic Trend Lines
This code dynamically draws trend lines and labels based on swing highs and lows identified from historical price action.
Key Features
Swing Point Detection:
Uses the ta.pivothigh and ta.pivotlow functions to identify recent swing highs and swing lows based on a customizable lookback period.
Trend Lines:
Uptrend Line:
Draws a line connecting swing low points.
Colored in blue by default.
Downtrend Line:
Draws a line connecting swing high points.
Colored in red by default.
Lines dynamically adjust as new swing points are identified.
Labels:
Adds a circle-style label at each swing high and swing low.
Displays the price value of the swing point.
Labels have:
Green background for uptrends.
Red background for downtrends.
Customizable Inputs:
lookback: Sensitivity of swing point detection (higher value = fewer swings).
line_color_up and line_color_down: Colors for the trend lines.
label_bg_up and label_bg_down: Colors for the label backgrounds.
Auto Updates:
Trend lines and labels update dynamically as the chart progresses, ensuring they reflect the latest market conditions.
How It Works
Identify Swing Points:
Detects local highs and lows within the defined lookback period.
Draw Lines:
Uptrend lines are drawn from the most recent swing lows.
Downtrend lines are drawn from the most recent swing highs.
Add Labels:
Each swing point is labeled with its price value for easy reference.
Visual Output
Trend Lines:
Blue for uptrends, red for downtrends.
Labels:
Circular labels with price values:
Green for swing lows (uptrend points).
Red for swing highs (downtrend points).
Example Use Case
This script is useful for traders who want to:
Visually identify key trend lines based on swing highs and lows.
Understand the critical price points of market reversals.
Use labeled price points for informed trade decisions.
Let me know if you'd like any specific refinements! 😊
Solar Movement Gradient-AYNETSummary of the Solar Movement Gradient Indicator
This Pine Script creates a dynamic, colorful indicator inspired by solar movements. It uses a sinusoidal wave to plot oscillations over time with a rainbow-like gradient that changes based on the wave's position.
Key Features
Sinusoidal Wave:
A wave oscillates smoothly based on the bar index (time) or optionally influenced by price movements.
The wave’s amplitude, baseline, and wavelength can be customized.
Dynamic Colors:
A spectrum of seven colors (red, orange, yellow, green, blue, purple, pink) is used.
The color changes smoothly along with the wave, emulating a solar gradient.
Background Gradient:
An optional gradient fills the background with colors matching the wave, adding a visually pleasing effect.
Customizable Inputs
Gradient Speed:
Adjusts how fast the wave and colors change over time.
Amplitude & Wavelength:
Controls the height and smoothness of the wave.
Price Influence:
Allows the wave to react dynamically to price movements.
Background Gradient:
Toggles a colorful gradient in the chart’s background.
Use Case
This indicator is designed for visual appeal rather than trading signals. It enhances the chart with a dynamic and colorful representation, making it perfect for aesthetic customization.
Let me know if you need further refinements! 🌈✨
Rainbow Fisher - AYNETThe Rainbow Fisher Indicator is inspired by John Ehlers' work on the Fisher Transform, a tool designed to normalize price movements and highlight overbought and oversold conditions. This script combines Ehlers' Fisher Transform with a rainbow visualization for enhanced trend analysis.
Summary of the Code
Fisher Transform Calculation:
The indicator calculates the Fisher Transform based on normalized high-low price data (hl2), which emphasizes turning points in market trends.
Rainbow Visualization:
The Fisher line is dynamically colored using a rainbow gradient to visually represent the magnitude and direction of market movements.
Overbought/Oversold Levels:
Configurable horizontal lines mark thresholds (1.5 for overbought and -1.5 for oversold by default), helping traders identify extremes in price action.
Signal Labels:
Labels are displayed when the Fisher line crosses the overbought or oversold levels, providing clear visual cues for potential market reversals.
Acknowledgment:
This indicator is an homage to John Ehlers' groundbreaking work in digital signal processing for financial markets.
How to Use
Trend Reversal Detection:
Use the overbought and oversold levels to identify potential turning points in market trends.
Momentum Analysis:
Observe the rainbow-colored Fisher line for directional cues and the strength of price movements.
Customization
Adjust the Fisher Transform length to refine sensitivity.
Modify overbought/oversold levels to align with your trading strategy.
Enable or disable the rainbow effect for simplicity or added clarity.
Let me know if you’d like further refinements or additional features! 🌈
Quarterly Sine Wave with Moving Averages - AYNETDescription
Sine Wave:
The sine wave oscillates with a frequency determined by frequency.
Its amplitude (amplitude) and vertical offset (offset) are adjustable.
Moving Averages:
Includes options for different types of moving averages:
SMA (Simple Moving Average).
EMA (Exponential Moving Average).
WMA (Weighted Moving Average).
HMA (Hull Moving Average).
The user can choose the type (ma_type) and the length (ma_length) via inputs.
Horizontal Lines:
highest_hype and lowest_hype are horizontal levels drawn at the user-specified values.
Quarter Markers:
Vertical lines and labels (Q1, Q2, etc.) are drawn at the start of each quarter.
Customization Options
Moving Average Type:
Switch between SMA, EMA, WMA, and HMA using the dropdown menu.
Sine Wave Frequency:
Adjust the number of oscillations per year.
Amplitude and Offset:
Control the height and center position of the sine wave.
Moving Average Length:
Change the length for any selected moving average.
Output
This indicator plots:
A sine wave that oscillates smoothly over the year, divided into quarters.
A customizable moving average calculated based on the chosen price (e.g., close).
Horizontal lines for the highest and lowest hype levels.
Vertical lines and labels marking the start of each quarter.
Let me know if you need additional features! 😊
Rainbow MA- AYNETDescription
What it Does:
The Rainbow Indicator visualizes price action with a colorful "rainbow-like" effect.
It uses a moving average (SMA) and dynamically creates bands around it using standard deviation.
Features:
Seven bands are plotted, each corresponding to a different rainbow color (red to purple).
Each band is calculated using the moving average (ta.sma) and a smoothing multiplier (smooth) to control their spread.
User Inputs:
length: The length of the moving average (default: 14).
smooth: Controls the spacing between the bands (default: 0.5).
radius: Adjusts the size of the circular points (default: 3).
How it Works:
The bands are plotted above and below the moving average.
The offset for each band is calculated using standard deviation and a user-defined smoothing multiplier.
Plotting:
Each rainbow band is plotted individually using plot() with circular points (plot.style_circles).
Customization
You can modify the color palette, adjust the smoothing multiplier, or change the moving average length to suit your needs.
The number of bands can also be increased or decreased by adding/removing colors from the colors array and updating the loop.
If you have further questions or want to extend the indicator, let me know! 😊
Multi-Period % Change Bands (Extreme Dots)Multiple Period Percentage Change Extreme Dots
This indicator visualizes percentage changes across three different timeframes (8, 13, and 21 days), highlighting extreme movements that break out of a user-defined band. It's designed to identify which timeframe is showing the most significant percentage change when prices make notable moves.
Features:
- Tracks percentage changes for 8-day, 13-day, and 21-day periods
- Customizable upper and lower bands to define significant moves
- Shows dots only for the most extreme moves (highest above band or lowest below band)
- Color-coded for easy identification:
- Blue: 8-day changes
- Green: 13-day changes
- Red: 21-day changes
- Includes current values display for all timeframes
Usage Tips:
- Shorter timeframes (8-day) are more sensitive to price changes and should use narrower bands (e.g., ±3%)
- Medium timeframes (13-day) work well with moderate bands (e.g., ±5%)
- Longer timeframes (21-day) can use wider bands (e.g., ±8%)
- Dots appear only when a timeframe shows the most extreme move above/below bands
- Use the gray zone between bands to identify normal price action ranges
The indicator helps identify which lookback period is showing the strongest momentum in either direction, while filtering out normal market noise within the bands.
Note: This is particularly useful for:
- Identifying trend strength across different timeframes
- Spotting which duration is showing the most extreme moves
- Filtering out minor fluctuations through the band system
- Comparing relative strength of moves across different periods
Cup Finder with Fibonacci-AYNETExplanation of Changes
Fibonacci Levels Integration:
Adds Fibonacci retracement levels based on a user-defined lookback (fib_length).
Retracement levels (0.0, 0.236, 0.382, 0.5, 0.618, 1.0) are calculated and drawn as horizontal lines.
Combined Visualization:
Cup patterns are visualized with dashed lines and optional channels.
Fibonacci levels are added as visual reference points on the same chart.
Customization:
Users can toggle Fibonacci levels, adjust colors, and define lookback periods.
This script combines the power of cup pattern
Dynamic Staircase - AYNETExplanation
Step Logic:
Each step is created dynamically when the price exceeds the current step's level by the specified step_size.
Steps go up or down, depending on the price movement.
Dynamic Levels:
The script tracks the last_step_price to determine when a new step is required.
Visualization:
Steps are drawn using line.new, and their colors change based on the direction (green for up, red for down).
A simple stickman is placed at the latest step to represent movement dynamically.
Inputs
Step Size: Controls the price difference required to create a new step.
Colors: Customize the colors for up steps, down steps, and the stickman.
What You’ll See
A staircase-like chart that moves dynamically with the price.
Each new step appears when the price moves up or down by the specified step size.
A stickman drawn at the latest step to simulate movement.
Further Customizations
Step Direction Labels:
Add labels like "Up" or "Down" at each step.
Advanced Stickman Animation:
Modify the stickman design to show motion or additional shapes.
Historical Steps:
Store and display all past steps as part of the staircase visualization.
Let me know if you'd like to extend this further or add trading-specific functionality! 😊
Multi-Symbol Scanner: Advanced EMA-RSI-Volume Strategy# Multi-Symbol Tech Stock Scanner: Advanced EMA-RSI-Volume Strategy
## Technical Analysis Methodology
This scanner implements a sophisticated multi-timeframe analysis approach combining three key technical elements:
### 1. Dual EMA System (Primary Trend Detection)
- **Long-term EMA (820 periods)**: Acts as the primary trend identifier
- Chosen specifically for tech stocks' longer-term price waves
- Helps filter out minor market noise while capturing major trend changes
- 820 periods approximately represents 3.2 years of trading days
- **Medium-term EMA (320 periods)**: Serves as trend confirmation
- Approximately 1.25 years of trading data
- Provides earlier entry signals while maintaining trend reliability
- Helps identify potential trend reversals before the major trend shift
### 2. Volume Analysis Component
The script employs a dynamic volume analysis system:
- Calculates 20-period moving average of volume as baseline
- Requires 1.5x surge above baseline for signal confirmation
- Volume surge requirement helps filter out weak moves and potential false breakouts
- Different from standard volume indicators as it uses adaptive thresholds
### 3. RSI Momentum Filter
Implements a specialized RSI configuration:
- 14-period RSI with dynamic overbought/oversold levels
- Oversold threshold: 30 (customizable)
- Overbought threshold: 70 (customizable)
- Used as a confirmation tool rather than primary signal generator
## Signal Generation Logic
### Buy Signal Requirements
1. Price must cross above 820 EMA (PRIMARY CONDITION)
2. Current price must be above 320 EMA (CONFIRMATION)
3. RSI must be above 30 but below 70 (MOMENTUM CHECK)
4. Volume must be 1.5x above 20-period average (STRENGTH VALIDATION)
### Sell Signal Requirements
1. Price must cross below 820 EMA (PRIMARY CONDITION)
2. Current price must be below 320 EMA (CONFIRMATION)
3. RSI must be above 30 but below 70 (MOMENTUM CHECK)
4. Volume must be 1.5x above 20-period average (STRENGTH VALIDATION)
## Risk Management Integration
The script automatically calculates key risk levels based on volatility:
1. **Stop Loss Calculation**:
- Default: 2% below entry for buys
- Dynamically adjusted based on price point
- Can be modified through input parameters
2. **Take Profit Targets**:
- Primary target: 6% above entry (3:1 reward-risk ratio)
- Based on historical tech stock movement patterns
- Adjustable through input parameters
## Multi-Symbol Implementation
The scanner monitors 6 symbols simultaneously using:
- Separate security calls for each data point
- Optimized data requests to prevent overload
- Individual signal processing for each symbol
- Synchronized alert generation system
## Technical Implementation Details
1. **Data Processing**:
```
- Security data requests on 10-minute timeframe
- Individual EMA calculations per symbol
- Separate volume analysis threads
- RSI calculations with standard deviation normalization
```
2. **Signal Processing**:
```
- Cross-verification of all conditions
- Time-based signal validation
- Volume surge confirmation
- Trend alignment check
```
3. **Alert System**:
```
- Bar-close confirmation required
- Multi-condition validation
- Detailed price level inclusion
- Risk parameter integration
```
## Optimization Features
1. **Memory Usage**:
- Optimized security calls
- Efficient data structure
- Reduced redundant calculations
2. **Processing Efficiency**:
- Single-pass data analysis
- Combined indicator calculations
- Streamlined alert generation
## Practical Application
The system is designed for:
1. Swing Trading (primary use)
2. Position Trading (secondary use)
3. Technical Breakout Trading
Optimal timeframes:
- Primary: 4H charts
- Secondary: Daily charts
- Verification: 1H charts
## Default Configuration
The scanner is preset to monitor key tech stocks:
- TSLA: High-volatility tech leader
- NVDA: Semiconductor sector benchmark
- AVGO: Stable tech infrastructure
- TSM: Global chip manufacturer
- META: Social media sector leader
- AMZN: E-commerce/Cloud computing leader
Each symbol can be modified through input parameters.
## Version Information
- Current Version: 1.3
- Last Updated: November 2024
- Compatibility: TradingView Pro/Pro+/Premium
## Limitations & Considerations
- Limited to 6 symbols due to TradingView security request limits
- Requires consistent market volume for optimal performance
- Best suited for liquid stocks with significant daily volume
- May need parameter adjustments during extreme market conditions
Galagtic Radar Grid - AYNETFeatures:
Concentric Circles:
Drawn using points (•) placed around a center.
The number of circles and their spacing are customizable.
Radial Lines:
Straight lines radiate outward from the center.
You can customize the number of lines (e.g., 12 for 30° intervals).
Highlight Marker:
An orange marker is placed at a specific angle (customizable) on the outermost circle.
Key Customization Inputs:
Circle Count: Number of concentric circles.
Circle Spacing: Distance between circles.
Line Count: Number of radial lines.
Highlight Angle: Position of the orange marker in degrees.
Colors: Customize grid and marker colors.
Core Logic:
Circles and radial lines are calculated using trigonometric functions (math.cos and math.sin).
The x-coordinates are tied to bar_index (integer), ensuring compatibility with TradingView's requirements.
This script is ideal for creating a visual radar-like grid on TradingView charts. Let me know if you'd like further enhancements! 😊
Eagle-Inspired - AYNETOverview of the Code:
Parameters for Customization:
Wing Span: Horizontal distance (in bars) of the wings.
Wing Height: Vertical height (in price units) of the wings.
Body Height: Vertical size of the central "body" rectangle.
Colors: Separate colors for wings and the body.
Center Point:
The center of the logo is dynamically tied to the current bar (bar_index) and price (close).
Design Components:
Wings: Two angled lines for the left and right wings.
Body: A rectangular shape approximated using four lines.
Dynamic Adjustments:
The size and proportions of the wings and body can be adjusted via user inputs.
Key Features:
Visual Elements: Creates a logo-like shape directly on the chart.
Customizable: Adjust the size, position, and colors of the wings and body.
Dynamic: Updates its position based on the latest bar and price.
This script provides a minimalist symbolic eagle design and can be used to visually overlay the chart with basic graphical elements. Let me know if you need further adjustments! 😊
Dynamic Support and Resistance -AYNETExplanation of the Code
Lookback Period:
The lookback input defines how many candles to consider when calculating the support (lowest low) and resistance (highest high).
Support and Resistance Calculation:
ta.highest(high, lookback) identifies the highest high over the last lookback candles.
ta.lowest(low, lookback) identifies the lowest low over the same period.
Dynamic Lines:
The line.new function creates yellow horizontal lines at the calculated support and resistance levels, extending them to the right.
Optional Plot:
plot is used to display the support and resistance levels as lines for visual clarity.
Customization:
You can adjust the lookback period and toggle the visibility of the lines via inputs.
How to Use This Code
Open the Pine Script Editor in TradingView.
Paste the above code into the editor.
Adjust the "Lookback Period for High/Low" to customize how the levels are calculated.
Enable or disable the support and resistance lines as needed.
This will create a chart similar to the one you provided, with horizontal yellow lines dynamically indicating the support and resistance levels. Let me know if you'd like any additional features or customizations!
Multi-LTF ATR Trailing Stop - AYNETSimple Explanation of the Code
This Pine Script code implements a multi-timeframe ATR-based trailing stop indicator. It calculates and plots the trailing stop lines for up to six configurable timeframes. Users can enable or disable specific timeframes, and each trailing stop line is color-coded and labeled with the corresponding timeframe (e.g., "15m", "1H").
Key Features of the Code
Multi-Timeframe Support:
The script calculates trailing stops for six different timeframes, such as 15 minutes, 1 hour, 1 day, etc.
User Configurations:
The user can:
Select timeframes for each trailing stop (e.g., "15m", "1H").
Enable or disable each timeframe using checkboxes.
Adjust the ATR period and multiplier to customize the trailing stop calculation.
Color-Coded Lines:
Each timeframe's trailing stop is plotted with a unique color for easy distinction.
Labels for Timeframes:
Labels at the end of the lines indicate the timeframe of each trailing stop (e.g., "15m", "1H").
Summary
This code is a multi-timeframe ATR trailing stop tool that helps traders visualize and analyze trailing stops across multiple timeframes. It is customizable, dynamic, and visually intuitive, making it ideal for both trend-following and stop-loss management.
Wick Trend Analysis with Supertrend and RSI -AYNETScientific Explanation
1. Wick Trend Analysis
Upper and Lower Wicks:
Calculated based on the difference between the high or low price and the candlestick body (open and close).
The trend of these wick lengths is derived using the Simple Moving Average (SMA) over the defined trend_length period.
Trend Direction:
Positive change (ta.change > 0) indicates an increasing trend.
Negative change (ta.change < 0) indicates a decreasing trend.
2. Supertrend Indicator
ATR Bands:
The Supertrend uses the Average True Range (ATR) to calculate dynamic upper and lower bands:
upper_band
=
hl2
+
(
supertrend_atr_multiplier
×
ATR
)
upper_band=hl2+(supertrend_atr_multiplier×ATR)
lower_band
=
hl2
−
(
supertrend_atr_multiplier
×
ATR
)
lower_band=hl2−(supertrend_atr_multiplier×ATR)
Trend Detection:
If the price is above the upper band, the Supertrend moves to the lower band.
If the price is below the lower band, the Supertrend moves to the upper band.
The Supertrend helps identify the prevailing market trend.
3. RSI (Relative Strength Index)
The RSI measures the momentum of price changes and ranges between 0 and 100:
Overbought Zone (Above 70): Indicates that the price may be overextended and due for a pullback.
Oversold Zone (Below 30): Indicates that the price may be undervalued and due for a reversal.
Visualization Features
Wick Trend Lines:
Upper wick trend (green) and lower wick trend (red) show the relative strength of price rejection on both sides.
Wick Trend Area:
The area between the upper and lower wick trends is filled dynamically:
Green: Upper wick trend is stronger.
Red: Lower wick trend is stronger.
Supertrend Line:
Displays the Supertrend as a blue line to highlight the market's directional bias.
RSI:
Plots the RSI line, with horizontal dotted lines marking the overbought (70) and oversold (30) levels.
Applications
Trend Confirmation:
Use the Supertrend and wick trends together to confirm the market's directional bias.
For example, a rising lower wick trend with a bullish Supertrend suggests strong bullish sentiment.
Momentum Analysis:
Combine the RSI with wick trends to assess the strength of price movements.
For example, if the RSI is oversold and the lower wick trend is increasing, it may signal a potential reversal.
Signal Generation:
Generate entry signals when all three indicators align:
Bullish Signal:
Lower wick trend increasing.
Supertrend bullish.
RSI rising from oversold.
Bearish Signal:
Upper wick trend increasing.
Supertrend bearish.
RSI falling from overbought.
Future Improvements
Alert System:
Add alerts for alignment of Supertrend, RSI, and wick trends:
pinescript
Kodu kopyala
alertcondition(upper_trend_direction == 1 and supertrend < close and rsi > 50, title="Bullish Signal", message="Bullish alignment detected.")
alertcondition(lower_trend_direction == 1 and supertrend > close and rsi < 50, title="Bearish Signal", message="Bearish alignment detected.")
Custom Thresholds:
Add thresholds for wick lengths and RSI levels to filter weak signals.
Multiple Timeframes:
Incorporate multi-timeframe analysis for more robust signal generation.
Conclusion
This script combines wick trends, Supertrend, and RSI to create a comprehensive framework for analyzing market sentiment and detecting potential trading opportunities. By visualizing trends, market bias, and momentum, traders can make more informed decisions and reduce reliance on single-indicator strategies.
Wick Trend Analysis - AYNETScientific Explanation
1. Wick Trend Lines
Upper Wick Trend Line: The upper_wick_trend is calculated as the Simple Moving Average (SMA) of the upper wick lengths over the user-defined period (trend_length).
pinescript
Kodu kopyala
float upper_wick_trend = ta.sma(upper_wick_length, trend_length)
Lower Wick Trend Line: The lower_wick_trend is similarly calculated for the lower wick lengths.
pinescript
Kodu kopyala
float lower_wick_trend = ta.sma(lower_wick_length, trend_length)
2. Filling Between Lines
fill Function: The fill function colors the area between two plotted lines (plot_upper and plot_lower) based on a defined condition.
pinescript
Kodu kopyala
fill(plot_upper, plot_lower, color=fill_color, title="Wick Trend Area")
Condition for Coloring: The color is determined based on whether the upper wick trend is greater or less than the lower wick trend:
Green Fill: Indicates that the upper wick trend is dominant (i.e., upper_wick_trend > lower_wick_trend).
Red Fill: Indicates that the lower wick trend is dominant (i.e., upper_wick_trend <= lower_wick_trend).
Visualization Features
Trend Lines:
Upper wick trend is plotted as a green line.
Lower wick trend is plotted as a red line.
Filled Area:
The area between the two trend lines is filled:
Green when the upper wick trend is dominant.
Red when the lower wick trend is dominant.
Dynamic Adjustments:
The user can adjust the trend_length to change the sensitivity of the SMA calculations.
Applications
Sentiment Analysis:
Green Fill (Upper Trend Dominance): Indicates stronger rejection at higher prices, suggesting bearish sentiment.
Red Fill (Lower Trend Dominance): Indicates stronger rejection at lower prices, suggesting bullish sentiment.
Signal Generation:
Transitions in the fill color (from green to red or vice versa) can serve as potential trade signals.
Volatility Assessment:
Wider gaps between the trend lines indicate higher market volatility, while narrower gaps suggest lower volatility.
Enhancements
1. Trend Strength Filtering
Add thresholds to filter out minor trends or insignificant wick activity:
pinescript
Kodu kopyala
bool significant_upper_wick = upper_wick_length > 10 // Minimum length for upper wick
bool significant_lower_wick = lower_wick_length > 10
2. Alerts for Trend Changes
Trigger alerts when the dominance of the trend changes:
pinescript
Kodu kopyala
alertcondition(upper_wick_trend > lower_wick_trend, title="Upper Wick Dominance", message="Upper wick trend is now dominant.")
alertcondition(lower_wick_trend > upper_wick_trend, title="Lower Wick Dominance", message="Lower wick trend is now dominant.")
3. Combined Wick Analysis
Incorporate total wick activity (upper + lower wicks) for holistic analysis:
pinescript
Kodu kopyala
float total_wick_trend = ta.sma(upper_wick_length + lower_wick_length, trend_length)
Conclusion
This script provides a robust visualization of wick trends with dynamic color filling to indicate trend dominance. By observing the relative strength of upper and lower wick trends, traders can assess market sentiment, detect potential reversals, and gauge volatility. This method can be further enhanced with additional filters, alerts, and composite indicators to refine trading strategies.
