Adaptive Linear Regression ChannelOverview
The Adaptive Linear Regression Channel Script is an advanced, multi-functional trading tool crafted to help traders pinpoint market trends, identify potential reversals, assess volatility, and establish dynamic levels for profit-taking and position exits. By incorporating key concepts such as linear regression , standard deviation , and other volatility measures like the ATR , the script offers a comprehensive view of market behavior beyond traditional deviation metrics.
This dynamic model continuously adapts to changing market conditions, adjusting in real-time to provide clear visualizations of trends, channels, and volatility levels. This adaptability makes the script invaluable for both trend-following and counter-trend strategies, giving traders the flexibility to respond effectively to different market environments.
Background
What is Linear Regression?
Definition : Linear regression is a statistical technique used to model the relationship between a dependent variable (target) and one or more independent variables (predictors).
In its simplest form (simple linear regression), the relationship between two variables is represented by a straight line (the regression line).
y = mx + b
where :
- y is the target variable (price)
- m is the slope
- x is the independent variable (time)
- b is the intercept
Slope of the Regression Line
Definition: The slope (m) measures the rate at which the dependent variable (y) changes as the independent variable (x) changes.
Interpretation:
- A positive slope indicates an uptrend.
- A negative slope indicates a downtrend.
Uses in Trading:
- Identifying the strength and direction of market trends.
- Assessing the momentum of price movements.
R-squared (Coefficient of Determination)
Definition: A measure of how well the regression line fits the data, ranging from 0 to 1.
Calculation :
R2 = 1− (SS tot/SS res)
where:
- SSres is the sum of squared residuals.
- SStot is the total sum of squares.
Interpretation:
- Higher R2 indicates a better fit, meaning the model explains a larger proportion of the variance in the data.
Uses in Trading:
- Higher R-squared values give traders confidence in trend-based signals.
- Low R-squared values may suggest that the market is more random or volatile.
Standard Deviation
Definition: Standard Deviation quantifies the dispersion of data points in a dataset relative to the mean. A low standard deviation indicates that data points tend to be close to the mean, while a high standard deviation indicates that the data points are spread out over a larger range of values.
Calculation
σ=√∑(xi−μ)2/N
Where
- σ is the standard deviation.
- ∑ is the summation symbol, indicating that the expression that follows should be summed over all data points.
- xi, this represents the i-th data point in the dataset.
- μ\mu, this represents the mean(average) of all the data points in the dataset.
- (xi−μ)2, this is the squared difference between each data point and the mean.
- N is the total number of data points in the dataset.
- **Interpretation**
- A higher standard deviation indicates greater volatility.
- Useful for identifying overbought/oversold conditions in markets.
Key Features
Dynamic Linear Regression Channels:
The script automatically generates adaptive regression channels that expand or contract based on the current market volatility. This real-time adjustment ensures that traders are always working with the most relevant data, making it easier to spot key support and resistance levels.
The channel width itself serves as an indicator of market volatility, expanding during periods of heightened uncertainty and contracting during more stable phases. Additionally, the channel width is trained on previous channel widths , allowing the script to adapt and provide a more accurate view of volatility trends of the asset. Traders can also customize the script to train on less historical data , enabling a more recent view of volatility , which is particularly useful in fast-moving or changing markets.
Dynamic Profits and Stops:
What is it?
Dynamic profit levels allow traders to adjust take-profit targets based on real-time market conditions. Unlike static levels, which remain fixed regardless of market changes, these adaptive levels leverage past volatility data to create more flexible profit-taking strategies.
How does it work?
The script determines these levels using previously stored deviation values. These deviations are categorized into quantiles (like Q1, Q2, Q3, etc.) to classify current market conditions. As new deviation data is recorded, the profit levels are adjusted dynamically to reflect changes in market volatility. This approach helps to refine profit targets, especially when using regression channels with standard deviation rather than traditional ATR bands.
Why is it valuable?
By utilizing adaptive profit levels, traders can optimize their exits based on the current volatility landscape. For instance, when volatility increases, the dynamic levels expand, allowing trades to capture larger price movements. Conversely, during low volatility, profit targets tighten to lock in gains sooner, reducing exposure to market reversals. This flexibility is especially beneficial when combined with adaptive regression channels that respond to changes in standard deviation.
Slope-Based Trend Analysis:
One of the core elements of this script is the slope of the regression line , which helps define the direction and strength of the trend. Positive slopes indicate bullish momentum, while negative slopes suggest bearish conditions. The slope's steepness gives traders insight into the market's momentum, allowing them to adjust their strategies based on the strength of the trend.
Additionally, the script uses the slope to create a color gradient , which visually represents the intensity of the market's momentum. The gradient peaks at one color to show the maximum bullish momentum experienced in the past, while another color represents the maximum bearish momentum experienced in the past. This color-coded visualization makes it easier for traders to quickly assess the market's strength and direction at a glance.
Volatility Heatmap:
The integrated heatmap provides an intuitive, color-coded visualization of market volatility. The heatmap highlights areas where price action is expanding or contracting, giving traders a clear view of where volatility is rising or falling. By mapping out deviations from the regression line, the heatmap makes it easier to spot periods of high volatility that could lead to major market moves or potential reversals.
Deviation Concepts:
The script tracks price deviations from the regression line when a new range is formed, providing valuable insights when the price significantly deviates from the expected trend. These deviations are key in identifying potential breakout points or trend shifts .
This helps traders understand when the market is overextended or when a pullback may be imminent, allowing them to make more informed trading decisions.
Adaptive Model Properties:
Unlike static indicators, this script adapts over time . As the market changes, it stores historical data related to channel widths , slope dynamics , and volatility levels , adjusting its analysis accordingly to stay relevant to current market conditions.
Traders have the ability to train the model on all available data or specify a set number of bars to focus on more recent market activity. This flexibility allows for more tailored analysis , ensuring that traders can work with data that best fits their trading style and time horizon.
This continuous learning approach ensures that traders always have the most up-to-date insight into the market's structure.
Table
The table displays key metrics in real time to provide deeper insights into market behavior:
1. Deviation & Slope : Shows the current deviation if set to standard deviation or atr if set to atr(values used to calculated the channel widths) and the trend slope, helping to gauge market volatility and trend direction.
2. Rate of Change : For both deviation/atr and slope, the table also calculates the rate of change of their rates—essentially capturing the acceleration or deceleration of trends and volatility. This helps identify shifts in market momentum early.
3. R-squared : Indicates the strength and reliability of the trend fit. A higher value means the regression line better explains the price movements.
4. Quantiles : Uses historical deviation data to categorize current market conditions into quartiles (e.g., Q1, Q2, Q3). This helps classify the market's current volatility level, allowing traders to adjust strategies dynamically.
By combining these metrics, the table offers a comprehensive, real-time snapshot of market conditions, enabling more informed and adaptive trading decisions.
Settings
Here’s a breakdown of the script's settings for easy reference:
Linear Regression Settings
Show Dynamic Levels :Toggle to display dynamic profit levels on the chart.
Deviation Type :Select the method for calculating deviation—options include ATR (Average True Range) or Standard Deviation.
Timeframe :Sets the specific timeframe for the regression analysis (default is the chart’s timeframe).
Period :Defines the number of bars used for calculating the regression line (e.g., 50 bars).
Deviation Multiplier :Multiplier used to adjust the width of the deviation channel around the regression line.
Rate of Change :Sets the period for calculating the rate of change of the slope (used for momentum analysis).
Max Bars Back :Limits the number of historical bars to analyze (0 means all available data).
Slope Lookback :Number of bars used to calculate the slope gradient for trend detection.
Slope Gradient Display :Toggle to enable gradient coloring based on slope direction.
Slope Gradient Colors :Set colors for positive and negative slopes, respectively.
Slope Fill :Adjusts the transparency of the slope gradient fill.
Volatility Gradient Display :Toggle to enable gradient coloring based on volatility levels.
Volatility Gradient Colors :Set colors for low and high volatility, respectively.
Volatility Fill :Adjusts the transparency of the volatility gradient fill.
Table Settings
Show Table :Toggle to display the metrics table on the chart.
Table Position :Choose where to position the table (e.g., top-right, middle-center, etc.).
Font Size :Set the size of the text in the table. Options include Tiny, Small, Normal, Large, and Huge.
Wstęgi i Kanały
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! 😊
IlluminateThe Illuminate script predicts the potential range of Bitcoin's top and bottom prices based on a logarithmic regression model, referencing Bitcoin's historical price trends and halvings. This script is designed to provide valuable insights into Bitcoin's price dynamics and long-term trends using principles derived from the "Bitcoin Law."
Key Features
Power Law Trend Lines
Primary Trend:
Projects the general growth trajectory of Bitcoin prices over time based on a logarithmic power law.
Resistance Line:
Identifies a potential upper limit of Bitcoin prices during market peaks.
Includes an offset trendline for an additional buffer zone.
Support Line:
Represents a possible bottom for Bitcoin prices during market downturns.
Offset trendlines highlight potential zones of price fluctuation near the support line.
Fill Zones:
Between resistance and offset: Semi-transparent Red.
Between support and offset: Semi-transparent Green/Blue.
Bitcoin Halving Events
Automatically marks significant Bitcoin halving dates with yellow vertical lines and labeled annotations.
Current and future halvings (approximate) are included.
Trending Phase Indication
A dynamic visual color fill highlights different phases of Bitcoin's price evolution based on a 4-year cycle.
Colors: Red, Green, Blue, Orange (indicating each phase).
"Trending Phase" label provides insight into the current phase.
Interactive Inputs
Show/Hide Resistance: Toggle resistance trend lines.
Show/Hide Support: Toggle support trend lines.
Show/Hide Halving Dates: Toggle visibility of halving annotations.
Customizable Parameters
Fine-tune parameters (A and n) for the main trend line to match your analysis needs.
How to Use
Overlay Analysis:
Add this script to your TradingView chart for direct overlay on Bitcoin's price data.
Interpret the Zones:
Use the resistance and support lines as potential upper and lower bounds for price movements.
Analyze fill zones for areas of likely price oscillation.
Halving Significance:
Observe price behavior before and after halving dates, which historically influence market trends.
Long-Term Perspective:
The model is optimized for long-term projections, making it suitable for strategic, rather than short-term, trading decisions.
Disclaimer:
This indicator is for educational purposes only and should not be used as investment advice. Always do your own research and consult with a financial advisor before making trading decisions.
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.
Advanced Range Filter-AynetKey Features
Range Sizing Methods:
Supports various calculation methods, including:
Points: Fixed numerical value.
Pips: Ideal for Forex pairs.
% of Price: Scales range dynamically based on price.
ATR: Volatility-based sizing using Average True Range.
Average Change: Original sizing method using average price change.
Standard Deviation: Measures price volatility.
Absolute: User-defined fixed range.
Filter Types:
Type 1: Original filtering logic.
Type 2: Alternative smoothing logic for more responsive outputs.
Smoothing:
Optional EMA smoothing applied to the filter values.
Dynamic Visuals:
Plots filtered price with upper/lower bands.
Colors bars based on trend direction (bullish, bearish, neutral).
Advanced Averaging:
Conditional EMA logic enables averaging only when the filter value changes.
Trend Output:
Exports trend information (1 for bullish, -1 for bearish) for use in other scripts.
Usage
Trend Identification:
Observe the filtered price line to identify trends while ignoring minor price noise.
Use the bar coloring scheme to visualize trends directly on the chart.
Dynamic Bands:
The upper and lower bands represent the price range that triggers filter movements.
Custom Alerts:
Set up alerts for trend changes by monitoring the trend variable.
Use in Other Scripts:
Import trend information (externalTrend) into custom strategies or other indicators.
Conclusion
This advanced Range Filter Indicator removes minor price action noise and highlights trends with precision. It’s highly customizable, offering flexibility in how ranges and filter values are calculated, with dynamic visualization to make trends clear and actionable. Perfect for traders who prefer clarity and noise reduction in price action analysis.
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! 😊
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. 🌈
T3 with ArrowsThe arrows indicate trend reversals - first time closing below and first time closing above.
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.
Support & resistance - DHJ : BUY/SELL Signal//@version=5
indicator(" Support & resistance - DHJ : Support/Resistance, EMA Crossover, Previous Day High/Low", shorttitle = "Support & resistance - DHJ", overlay=true, max_boxes_count=50)
// User Inputs
int lookbackPeriod = input.int(20, "Lookback Period", minval=1, group="Settings")
int vol_len = input.int(2, "Delta Volume Filter Length", tooltip="Higher input, will filter low volume boxes", group="Settings")
float box_withd = input.float(1, "Adjust Box Width", maxval=1000, minval=0, step=0.1, group="Settings")
// Define the EMAs
ema9 = ta.ema(close, 9)
ema21 = ta.ema(close, 21)
// Plot the EMAs
plot(ema9, color=color.blue, linewidth=1)
plot(ema21, color=color.red, linewidth=1)
// Crossover conditions
longCondition = ta.crossover(ema9, ema21)
shortCondition = ta.crossunder(ema9, ema21)
// Plot buy/sell signals
plotshape(series=longCondition, location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=shortCondition, location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Previous day high and low
var float pdHigh = na
var float pdLow = na
if (ta.change(time("1D")))
pdHigh := high
pdLow := low
plot(pdHigh, color=color.green, linewidth=1, title="Previous Day High")
plot(pdLow, color=color.red, linewidth=1, title="Previous Day Low")
// Delta Volume Function
upAndDownVolume() =>
posVol = 0.0
negVol = 0.0
var isBuyVolume = true
switch
close > open => isBuyVolume := true
close < open => isBuyVolume := false
if isBuyVolume
posVol += volume
else
negVol -= volume
posVol + negVol
// Function to identify support and resistance boxes
calcSupportResistance(src, lookbackPeriod) =>
// Volume
Vol = upAndDownVolume()
vol_hi = ta.highest(Vol / 2.5, vol_len)
vol_lo = ta.lowest(Vol / 2.5, vol_len)
var float supportLevel = na
var float supportLevel_1 = na
var float resistanceLevel = na
var float resistanceLevel_1 = na
var box sup = na
var box res = na
var color res_color = na
var color sup_color = na
var float multi = na
var bool brekout_res = na
var bool brekout_sup = na
var bool res_holds = na
var bool sup_holds = na
// Find pivot points
pivotHigh = ta.pivothigh(src, lookbackPeriod, lookbackPeriod)
pivotLow = ta.pivotlow(src, lookbackPeriod, lookbackPeriod)
// Box width
atr = ta.atr(200)
withd = atr * box_withd
// Find support levels with Positive Volume
if (not na(pivotLow)) and Vol > vol_hi
supportLevel := pivotLow
supportLevel_1 := supportLevel - withd
topLeft = chart.point.from_index(bar_index - lookbackPeriod, supportLevel)
bottomRight = chart.point.from_index(bar_index, supportLevel_1)
sup_color := color.from_gradient(Vol, 0, ta.highest(Vol, 25), color(na), color.new(color.green, 30))
sup := box.new(
top_left = topLeft,
bottom_right = bottomRight,
border_color = color.green,
border_width = 1,
bgcolor = sup_color,
text = "Vol: " + str.tostring(math.round(Vol, 2)),
text_color = chart.fg_color,
text_size = size.small
)
// Find resistance levels with Negative Volume
if (not na(pivotHigh)) and Vol < vol_lo
resistanceLevel := pivotHigh
resistanceLevel_1 := resistanceLevel + withd
topLeft = chart.point.from_index(bar_index - lookbackPeriod, resistanceLevel)
bottomRight = chart.point.from_index(bar_index, resistanceLevel_1)
res_color := color.from_gradient(Vol, ta.lowest(Vol, 25), 0, color.new(color.red, 30), color(na))
res := box.new(
top_left = topLeft,
bottom_right = bottomRight,
border_color = color.red,
border_width = 1,
bgcolor = res_color,
text = "Vol: " + str.tostring(math.round(Vol, 2)),
text_color = chart.fg_color,
text_size = size.small
)
// Adaptive Box Len
sup.set_right(bar_index + 1)
res.set_right(bar_index + 1)
// Break of support or resistance conditions
brekout_res := ta.crossover(low, resistanceLevel_1)
res_holds := ta.crossunder(high, resistanceLevel)
sup_holds := ta.crossover(low, supportLevel)
brekout_sup := ta.crossunder(high, supportLevel_1)
// Change Color of Support to red if it was break, change color of resistance to green if it was break
if brekout_sup
sup.set_bgcolor(color.new(color.red, 80))
sup.set_border_color(color.red)
sup.set_border_style(line.style_dashed)
if sup_holds
sup.set_bgcolor(sup_color)
sup.set_border_color(color.green)
sup.set_border_style(line.style_solid)
if brekout_res
res.set_bgcolor(color.new(color.green, 80))
res.set_border_color(color.new(color.green, 0))
res.set_border_style(line.style_dashed)
if res_holds
res.set_bgcolor(res_color)
res.set_border_color(color.new(color.red, 0))
res.set_border_style(line.style_solid)
// Calculate support and resistance levels and their breakouts
= calcSupportResistance(close, lookbackPeriod)
// Check if Resistance becomes Support or Support Becomes Resistance
var bool res_is_sup = na
var bool sup_is_res = na
switch
brekout_res => res_is_sup := true
res_holds => res_is_sup := false
switch
brekout_sup => sup_is_res := true
sup_holds => sup_is_res := false
// Plot Res and Sup breakouts and holds
plotchar(res_holds, "Resistance Holds", "◆", color = #e92929, size = size.tiny, location = location.abovebar, offset = -1)
plotchar(sup_holds, "Support Holds", "◆", color = #20ca26, size = size.tiny, location = location.belowbar, offset = -1)
plotchar(brekout_res and res_is_sup , "Resistance as Support Holds", "◆", color = #20ca26, size = size.tiny, location = location.belowbar, offset = -1)
plotchar(brekout_sup and sup_is_res , "Support as Resistance Holds", "◆", color = #e92929, size = size.tiny, location = location.abovebar, offset = -1)
// Break Out Labels
if brekout_sup and not sup_is_res
label.new(
bar_index , supportLevel ,
text = "Break Sup",
style = label.style_label_down,
color = #7e1e1e,
textcolor = chart.fg_color,
size = size.small
)
if brekout_res and not res_is_sup
label.new(
bar_index , resistanceLevel ,
text = "Break Res",
style = label.style_label_up,
color = #2b6d2d,
textcolor = chart.fg_color,
size = size.small
)
B-Xtrender Simplified-BUY/SELL print Thanks to @puppytherapy for creating the original B-Xtrender indicator, available at this link: B-Xtrender by Puppytherapy.
This is a modified version of the original script, which now includes Buy and Sell arrows directly plotted on the chart for clear entry signals. The core logic of the indicator remains intact, with enhancements for simplicity and usability.
Overview:
The B-Xtrender Simplified indicator is a trend-following tool designed to identify potential buy and sell opportunities based on momentum and trend confluence. It combines short-term and long-term RSI-based oscillators with exponential moving averages to detect trend shifts and provide clear, actionable signals on the chart.
This simplified version focuses on clean visuals and provides buy and sell signals using arrows, ensuring an uncluttered chart. The indicator is suitable for traders who want a straightforward tool to assist with entry signals in trending markets.
Key Components:
Short-Term Oscillator:
Measures short-term momentum using the RSI of the difference between two EMAs (Short - L1 and Short - L2).
Provides early signals for trend reversals and momentum shifts.
Long-Term Oscillator:
Evaluates broader trend strength using the RSI of a single EMA (Long - L1).
Acts as a filter to ensure signals align with the overall market trend.
Smoothed Oscillator (T3):
Applies a smoothing algorithm to the short-term oscillator to reduce noise.
Ensures the signals are more reliable and less prone to false alarms.
How It Works:
Buy Signal (Green Arrow Below Candles):
Triggered when:
The short-term oscillator is above 0 (indicating upward momentum).
The smoothed short-term oscillator (maShortTermXtrender) is rising (momentum confirmation).
The long-term oscillator is above 0 (trend confirmation).
Sell Signal (Red Arrow Above Candles):
Triggered when:
The short-term oscillator is below 0 (indicating downward momentum).
The smoothed short-term oscillator (maShortTermXtrender) is falling (momentum confirmation).
The long-term oscillator is below 0 (trend confirmation).
Alerts:
Buy and sell signals generate alerts for traders to take immediate action when conditions are met.
Customization Options:
Short-Term Parameters:
Short - L1, Short - L2, Short - L3 control the responsiveness of the short-term oscillator.
Long-Term Parameters:
Long - L1, Long - L2 adjust the sensitivity of the long-term trend filter.
Default values ensure the indicator works effectively in most market conditions, but they can be fine-tuned for specific instruments or timeframes.
Strengths:
Clarity: Uses clean buy/sell arrows for visual simplicity.
Confluence-Based: Ensures alignment between short-term momentum and long-term trend before signaling.
Real-Time Alerts: Alerts for both buy and sell signals allow for timely decision-making.
Usage Tips:
Confirm Trend:
Use the indicator on a higher timeframe (e.g., 1-hour or daily) to confirm the overall trend direction.
Combine with Other Tools:
Enhance accuracy by combining the indicator with support/resistance levels, volume analysis, or other technical indicators.
Risk Management:
Always use stop-loss orders to protect against adverse market movements.
Maintain a risk-to-reward ratio of at least 1:2.
Ideal For:
Traders seeking clear and straightforward entry signals.
Trend-following strategies in liquid markets.
Beginners who want an easy-to-interpret tool for identifying momentum-based trades.
This simplified version of the B-Xtrender retains the original power of the indicator while focusing on clean visuals and actionable signals for trend-following traders.
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.
Quantum Oscillator Pine v6 - Aynet
This Pine Script™ code, built with version 6, implements the Quantum Oscillator - Aynet, a normalized oscillator designed for visualizing price dynamics within a specific fractal range. The code emphasizes visual clarity with a rainbow color scheme for the oscillator line and adaptive threshold bands.
Key Features:
Quantum Oscillator Calculation:
The oscillator value (quantum_oscillator) is derived from the current price position relative to the highest (fractal_high) and lowest (fractal_low) prices over a customizable depth (quantum_depth).
Normalized to a 0-100 range.
Adaptive Threshold Bands:
Upper Band: Calculated using the Golden Ratio Threshold (quantum_upper_band).
Lower Band: A complementary lower boundary (quantum_lower_band).
Rainbow Color Mapping:
The oscillator is dynamically color-coded based on value:
0-20: Red
20-40: Orange
40-60: Yellow
60-80: Green
80-100: Blue
Visualization:
The Quantum Oscillator is plotted with a rainbow color line.
Dashed horizontal lines mark the upper and lower threshold bands.
Background highlights:
Green when the oscillator is below the lower band.
Red when the oscillator is above the upper band.
V6 Emphasis:
Utilizes Pine Script™ version 6, ensuring compatibility with the latest language features and improvements.
Clean, modern syntax for enhanced readability and efficiency.
This indicator is visually appealing and provides insights into price dynamics within a fractal range, ideal for adaptive market analysis.
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.
T3 with Arrows (by Houston St.Claire)the arrows indicate trend reversals - first time a close below and first time a close above.
MegaGas Bollinger Bands with Divergence and Circle SignalsIndicator: MegaGas Bollinger Bands with Divergence and Circle Signals
This indicator combines Bollinger Bands, RSI analysis, and Divergence detection to provide a comprehensive view of potential market signals. It is designed to identify trend reversals, momentum shifts, and overbought/oversold conditions, offering both buy/sell signals and visual alerts on the chart.
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! 🚀
Pinbar Buy/Sell ArrowsPin Bar Detection: The script defines functions for detecting bullish and bearish pin bars based on the proportions of the candlestick body and wicks.
Bullish Pin Bar: Has a long upper wick relative to the body and a body-to-wick ratio below a certain threshold.
Bearish Pin Bar: Has a long lower wick relative to the body and a body-to-wick ratio below a certain threshold.
Arrows: Green "BUY" arrows are plotted below bullish pin bars, and red "SELL" arrows are plotted above bearish pin bars.
Advanced Scalping by VVSКак это работает:
• ATR оценивает рыночную волатильность. Чем выше ATR, тем шире будет стоп-лосс, что помогает учитывать высокую волатильность.
• Индикатор рисует линии стоп-лоссов в реальном времени на графике, что позволяет трейдеру видеть, где находится его уровень защиты от убытков.
Этот подход помогает адаптировать стоп-лоссы к текущей рыночной ситуации и улучшить управление рисками при скальпинге.
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. 🌈
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! 🌈✨
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
