Reversed Choppiness Index with Donchian Channels and SMAIn the chaotic world of trading, where every tick can lead to joy or despair, traders yearn for clarity amid the noise. They crave a mechanism that not only reveals the underlying market trends but also navigates the turbulent waters of volatility with grace. Enter the Reversed Choppiness Index with Donchian Channels and SMA Smoothing—a sophisticated tool crafted for those who refuse to be swayed by the whims of market noise.
This innovative script harnesses the power of the Choppiness Index, flipping it on its head to unveil the true direction of price movement. Choppiness, in its traditional form, indicates when the market is stuck in a sideways range, characterized by erratic price movements that can leave traders bewildered. High choppiness often signals confusion in the market, where prices oscillate without a clear trend, leading to potential losses. Conversely, low choppiness suggests a trending market, whether bullish or bearish, where trades can yield consistent profits. By reversing the Choppiness Index, this tool highlights lower choppiness levels as opportunities for selling when the market shows stability and momentum—perfect for traders looking to enter or exit positions with confidence.
The Donchian Channels serve as reliable markers, defining the boundaries of price action and helping to paint a clearer picture of market dynamics. Traders should look for breakouts from these channels, which may indicate a significant shift in momentum. When the Reversed Choppiness Index trends lower while price breaks above the upper Donchian Band, it may signal a strong buying opportunity, while a rise in choppiness alongside price dipping below the lower band can indicate a potential selling point.
But that's not all—this tool features a dual-layer of smoothing through two distinct Simple Moving Averages (SMAs). The first SMA gently caresses the Reversed Choppiness Index, softening its edges to reveal the underlying trends. The second SMA adds an extra layer of finesse, ensuring traders can spot significant changes with less noise interference.
In a landscape filled with fleeting opportunities and unpredictable swings, this script stands as a beacon of stability. It allows traders to focus on what truly matters—seizing profitable moments without getting caught in the crossfire of volatility. By understanding the dynamics of choppiness through this reversed lens, traders can more effectively navigate their strategies, capitalizing on clearer signals while avoiding the pitfalls of market noise. Embrace this tool and transform the way you trade; the market's whispers will no longer drown out your strategies, paving the way for informed decisions and greater success.
Индикаторы и стратегии
Earning, Sales, and PriceThis Pine Script indicator is designed to visualize and analyze the growth of Earnings Per Share (EPS) and Sales for a given stock over specified time periods. With a user-friendly interface, it allows traders and investors to monitor key financial metrics, helping them make informed decisions based on company performance.
The script presents earnings, sales, and price growth in a clear tabular format directly on the price chart. It features two distinct tables: one for annual data and another for quarterly metrics. For each financial metric, the script calculates and displays growth figures by comparing the current results with either the previous quarter's numbers or the previous year's figures. Additionally, it showcases the stock price along with the corresponding growth between these two data points, providing a comprehensive view of the stock's performance over time.
How to Use:
Typically, growth stocks will rally for a few quarters. However, after significant rallies, the stock needs rest. During this period, the stock will either consolidate or slide down slowly to take support at the key moving average. Importantly, during this time, sales and earnings may continue to grow while the stock is still consolidating.
Typically, after the stock consolidates significantly—even when sales and earnings numbers are increasing—the stock will finally start the next leg of the rally just before the next earnings date or immediately after the earnings report.
For this purpose, the script shows the EPS and sales growth. Additionally, the script displays the price when the previous earnings were declared along with the price growth. This data can be used to find patterns in the stock's behavior. Utilize this indicator to analyze growth patterns and make informed trading decisions based on historical performance and upcoming earnings expectations.
Key Metrics Analyzed:
Earnings Per Share (EPS): Monitors the diluted earnings per share to evaluate company profitability.
Total Revenue: Analyzes sales performance, providing insights into overall revenue generation.
Price Growth: Tracks changes in stock price alongside EPS and sales for comprehensive performance assessment.
Usage:
Ideal for investors and traders looking to evaluate company growth potential and make data-driven decisions.
Use in conjunction with other technical analysis tools for a holistic approach to stock analysis.
Dual price forecast with Projection Zone [FXSMARTLAB]The Dual Price Forecast with Projection Zone indicator is built to simulate potential future price paths based on historical price movements over two defined lookback periods. By running multiple trials (or simulations) on these historical price movements, the indicator achieves a more robust forecast, incorporating the inherent variability of price behavior.
Key Components and Calculation Details
1. Lookback Periods and Historical Price Movements
Lookback Period 1 and Lookback Period 2 specify the range of past data used to generate each projection. For each period, the indicator calculates the price variations (differences between the closing and opening prices) and stores these in arrays.
These historical price variations capture the volatility and price patterns within each period, serving as templates for future price behavior.
2. Trials: Purpose and Function
The trials are a critical element in the projection calculation. Each trial represents a single simulation of possible future price movements, derived from a random reordering of the historical price variations in each lookback period.
By running multiple trials , the indicator explores various sequences of historical movements, simulating different possible future paths. Each trial adds to the projection’s robustness by capturing a unique potential price path based on past behavior.
Running these multiple trials allows the indicator to account for randomness in price behavior, making the projections more comprehensive by covering a range of scenarios rather than relying on a single deterministic forecast.
3. Reverse Option
The reverse option allows the indicator to invert the direction of price movements within each lookback period. When enabled, historical uptrends are treated as downtrends, and vice versa.
This feature is particularly valuable in scenarios where traders expect a potential reversal in market direction. By enabling the reverse option, the indicator can simulate what might happen if past trends inverted, providing an alternative forecast path that considers possible market reversals.
This allows traders to assess both continuation and reversal scenarios, giving them a more balanced view of potential future price paths and helping them prepare for either market direction.
4. Generating the Average Projection Path
Once the trials are complete, the indicator calculates an average projected price path for each lookback period by averaging the results of all trials. This average represents the most likely price trend based on historical data and provides a smoothed projection that mitigates extreme outliers.
By averaging across all trial paths, the indicator generates a more reliable and balanced forecast line, smoothing out the fluctuations that might appear if only one trial or a small number of trials were used.
5. Projection Zone Visualization
The indicator plots the two average projection paths (one for each lookback period) as Projection 1 and Projection 2, each in a user-defined color.
The Projection Zone is the area between these two lines, filled with a semi-transparent color. This zone visually represents the potential range of future price movement, highlighting where prices are likely to oscillate if historical trends persist.
The Projection Zone effectively functions as a potential support and resistance boundary, providing traders with a visual reference for possible price fluctuations within a specific range.
6. Display of Lookback Zones
To give context to the projections, the indicator can also display colored lookback zones on the chart. These zones correspond to Lookback Period 1 and Lookback Period 2 and are color-coded to match their respective projection lines.
These zones allow traders to see the sections of historical data used in the calculation, helping them understand which past price behaviors influenced the current projections.
Benefits of the Indicator
The "Dual Price Forecast with Projection Zone" indicator provides a multi-scenario forecast based on past price dynamics. Its use of trials ensures that projections are not based on a single deterministic path but on a range of possible scenarios that better reflect the inherent randomness in financial markets.
By generating a probabilistic forecast within a defined zone, the indicator helps traders to:
Anticipate potential price ranges and areas of support/resistance based on historical trends.
Understand the influence of different timeframes (short-term and long-term lookbacks) on future price behavior.
Make informed decisions by visualizing the likely variability of future prices within a controlled projection zone.
Prepare for both continuation and reversal scenarios, thanks to the reverse option. This feature is especially useful in markets where trends may change direction, as it allows traders to explore what might happen
Monday Open StrategyYear Range Inputs:
start_year and end_year allow you to define the range of years in which the strategy will execute.
You can adjust these values in the script’s settings panel in TradingView.
Entry Condition:
The strategy checks that the current year falls within the specified range before entering a trade on Monday’s open.
Exit Condition:
Similarly, it only exits on Tuesday’s close if the current year is within the specified range.
This setup ensures that trades only take place between the defined years, effectively filtering out unwanted trades outside this timeframe.
Intraday buy and sell indicator for stock and optionsThis powerful intraday trading indicator leverages two key crossovers for buy and sell signals, optimized for stocks and options trading:
EMA9 Crossover: The 9-period Exponential Moving Average (EMA9) responds quickly to price changes, making it ideal for capturing short-term momentum shifts. A bullish signal is generated when the stock price crosses above the EMA9, indicating a potential upward trend, while a bearish signal occurs when the price crosses below, signaling a potential reversal.
VWMA Crossover Confirmation: The Volume-Weighted Moving Average (VWMA) provides further confirmation of trend direction by integrating volume data. When the VWMA aligns with EMA9 (price crosses above both for buy or below for sell), the signals are validated, increasing the probability of a successful trade.
How It Works:
Buy Signal: Generated when the stock price crosses above EMA9 and VWMA in unison, indicating strong bullish momentum.
Sell Signal: Generated when the stock price crosses below EMA9 and VWMA, signaling potential bearish momentum.
This indicator is designed to provide high-quality entry and exit points for intraday trades, filtering out weaker signals and reducing whipsaws. It’s ideal for active traders seeking a strategic edge by combining price action with volume confirmation for higher probability trades.
Liquidity Squeeze Indicator 1The provided Pine Script code implements a "Liquidity Squeeze Indicator" in TradingView, designed to detect potential bullish or bearish market squeezes based on EMA slopes, candle wicks, and body sizes.
Code Breakdown
EMAs Calculation: Calculates the 21-period (ema_21) and 50-period (ema_50) exponential moving averages (EMAs) on closing prices.
EMA Slope Calculation: Computes the slope of the 21-period EMA over a 21-period lookback to estimate trend direction, with a threshold of 0.45 to approximate a 45-degree angle.
Candle Properties: Measures the size of the candle's body and its upper and lower wicks for comparison to detect wick-to-body ratios.
Trend Identification: Defines a bullish trend when ema_21 is above ema_50 and a bearish trend when ema_21 is below ema_50.
Wick Conditions
Bullish Condition : In a bullish trend with the EMA slope up, checks if the upper wick is at least 3x the body size and the closing price is above the 21 EMA.
Bearish Condition: In a bearish trend with the EMA slope down, checks if the lower wick is at least 3x the body size and the closing price is below the 21 EMA.
Signal Plotting: Plots a green dot above the bar for bullish signals and a red dot below the bar for bearish signals.
Alerts: Defines alert conditions for both bullish and bearish signals, providing specific alert messages when conditions are met.
Summary
This indicator helps identify potential bullish or bearish liquidity squeezes by looking at trends, EMA slopes, and wick-to-body ratios in candlesticks. The primary signals are visualized through dots on the chart and can trigger alerts for notable market conditions.
Entropy-Based Adaptive SuperTrendOverview:
Introducing the Entropy-Based Adaptive SuperTrend – a groundbreaking trading indicator designed to adapt dynamically to market conditions using market entropy. This enhanced SuperTrend indicator adjusts its sensitivity according to the level of chaos (or order) in price movements, providing more stable signals during volatile periods and more responsive signals when the market becomes orderly.
Key Features:
Entropy-Adaptive Mechanism: By incorporating an entropy measure, this indicator estimates the degree of unpredictability in the market. During high entropy periods (more chaotic), signals are made less sensitive, while during low entropy periods, the indicator reacts more quickly to price changes.
Adaptive ATR Multiplier: Unlike traditional SuperTrend indicators that use a fixed ATR multiplier, this version calculates a dynamic ATR multiplier based on the entropy score, ensuring more flexibility and adaptability in setting stop levels.
Visual Clarity: The indicator is overlayed on the price chart with customizable visual elements. The bullish and bearish trends are color-coded for ease of use, and optional entry signals ("L" for long and "S" for short) are plotted to clearly mark potential entry opportunities.
Alerts for Key Opportunities : Never miss an opportunity with built-in alerts for buy and sell signals. Traders can easily configure these alerts to be notified instantly when market conditions trigger a new trend.
How It Works:
Entropy Calculation: The entropy of the price data is calculated over a user-defined period, giving an indication of the degree of randomness in the price movements. The result is then smoothed to reduce noise and create a meaningful trend indication.
Dynamic ATR Adjustment: The ATR (Average True Range) multiplier, which controls the distance of the trailing stop, is adjusted based on the entropy score. This allows the SuperTrend line to widen in chaotic times, reducing false signals, while tightening in orderly times, allowing quicker trend captures.
Parameters Explained:
Entropy Settings: Control the sensitivity of entropy calculations, including the look-back period, number of bins for price distribution, and smoothing length.
Adaptive Settings: Adjust how the indicator adapts to different levels of entropy, including the adaptation period and the filtering weight.
SuperTrend Settings : Customize the ATR period and the dynamic multiplier range to fine-tune the trailing stops for your trading style.
Visual Settings: Choose your preferred colors for bullish and bearish trends, and decide if you want the entry labels displayed directly on the chart.
Use Cases:
Swing Traders can utilize the indicator to capture trend reversals while filtering out the noise during high entropy periods.
Intraday Traders can adapt the settings for shorter time frames to benefit from dynamic adjustments that reduce overtrading and false signals.
Risk Management: The entropy-based adaptive feature provides an edge in risk management by reducing sensitivity during times of increased chaos, thus helping to limit unnecessary trades.
How to Use It:
Look for entry labels ("L" for long, "S" for short) to identify potential opportunities.
Use the color-coded trendlines to determine market bias: greenish hue for bullish trends, reddish hue for bearish trends.
Customize the input settings to align with your preferred market timeframe and risk profile.
Alerts & Notifications:
Built-in alerts notify you of significant trend changes. Simply enable these alerts to receive updates when a new long or short opportunity is detected, helping you stay ahead without needing to watch the screen constantly.
Customization Tips:
Longer Timeframes : Increase the Entropy Period to better capture macro trends in high timeframe charts.
Higher Volatility Markets: Increase the ATR Max Multiplier to ensure stops are set farther away during high entropy.
Lower Volatility Markets: Use a lower ATR Base Multiplier and tighter entropy thresholds to capture rapid price movements.
Final Thoughts:
The Entropy-Based Adaptive SuperTrend indicator merges traditional trend-following logic with an adaptive mechanism driven by market entropy, aiming to address the challenges of whipsaws and false signals common in conventional SuperTrend setups. This indicator offers an intelligent and flexible way to track market trends, suitable for both beginners and experienced trade
Smart Ribbon V2 [FXSMARTLAB]The Smart Ribbon V2 indicator is designed to analyze market trends and momentum by plotting a series of moving averages with varying periods, all within a single overlay on the price chart. This approach creates a "ribbon" effect, enabling traders to visualize trend strength, reversals, and potential entry or exit points. The indicator provides flexibility through different moving average types, including some advanced ones like QUEMA (Quadruple Exponential Moving Average) and QuintEMA (Quintuple Exponential Moving Average). Each moving average is color-coded to indicate trend direction and momentum, making it visually intuitive and effective for quick decision-making in trend-following strategies.
The Smart Ribbon V2 helps traders:
Identify Trend Direction
Gauge Momentum
Spot Trend Reversals
Determine Entry and Exit Points
Detailed Explanation of QUEMA and QuintEMA
The QUEMA (Quadruple Exponential Moving Average) and QuintEMA (Quintuple Exponential Moving Average) are advanced smoothing techniques that build on traditional exponential moving averages (EMAs). Both offer higher sensitivity to recent price changes than standard EMAs by adding layers of exponential smoothing. These moving averages are particularly useful for traders looking for a more responsive indicator without the noise often present in shorter-period EMAs.
QUEMA (Quadruple Exponential Moving Average)
The QUEMA is calculated by applying the EMA calculation four times in succession. This method smooths out fluctuations in the price data, creating a balance between sensitivity to recent data and resistance to short-term noise.
The mathematical formula for QUEMA is:
QUEMA=4×EMA1−6×EMA2+4×EMA3−EMA4
This formula results in a moving average that is smoother than a triple EMA (TEMA) and provides a better response to price trends without excessive lag.
QuintEMA (Quintuple Exponential Moving Average)
The QuintEMA goes one step further by applying the EMA calculation five times in a row. This level of exponential smoothing is useful for identifying strong, persistent trends while remaining adaptive to recent price shifts.
The QuintEMA is calculated as :
QuintEMA=5×EMA1−10×EMA2+10×EMA3−5×EMA4+EMA5
The additional layer in QuintEMA further reduces the impact of short-term price fluctuations, making it especially useful in strongly trending markets.
The Smart Ribbon V2 combines the benefits of several moving average types to deliver a versatile tool for analyzing market trends, momentum, and potential reversals. With QUEMA and QuintEMA as advanced options, it allows traders to tailor the indicator to match their preferred trading style, whether it involves higher responsiveness or smoother trend visualization. This adaptability makes Smart Ribbon V2 a powerful choice for both novice and experienced traders seeking to improve their trend-following and market analysis strategies.
This is my first published indicator! If you like it, leave a comment, like, subscribe, or show your support. Based on your feedback and appreciation, I'll be happy to release more of my personal indicators in the future.
STDEMA Z-ScoreSTDEMA Z-Score Indicator
Overview
The STDEMA Z-Score Indicator provides a statistical approach to understanding price movements relative to its trend, using the Standard Deviation Exponential Moving Average (StdEMA) and Z-Score calculations.
Key Features
Z-Score Calculation: The Z-Score measures how far the current price deviates from its StdEMA, providing insight into whether the price is statistically overbought or oversold.
EMA of Z-Score: This smooths the Z-Score for easier interpretation and signals potential reversals or continuation patterns.
Customizable Inputs: Users can easily adjust the EMA length, standard deviation multiplier, and smoothing length to fit their trading style and market conditions.
How to Use
Buy Signals: Look for the Z-Score EMA to cross above the 0 line, indicating potential bullish momentum.
Sell Signals: Watch for the Z-Score EMA to cross below the 0 line, suggesting potential bearish momentum.
Volume/Price Divergence v2The "Volume/Price Divergence v2" indicator is designed to analyze the relationship between volume and price movements in a financial market. It helps traders identify potential divergences that may indicate a change in market trends. Here’s a breakdown of how it works:
### Key Components
1. **Volume Calculation**:
- **Buying Volume**: This is calculated based on the relationship between the closing price and the high/low range. If the closing price is closer to the low, more volume is attributed to buying.
- **Selling Volume**: Conversely, if the closing price is closer to the high, more volume is considered selling.
The formulas used are:
```pinescript
buyVolume = high == low ? 0 : volume * (close - low) / (high - low)
sellVolume = high == low ? 0 : volume * (high - close) / (high - low)
```
2. **Plotting Volume**:
- The total volume is plotted in red and buying volume is plotted in teal. This helps visualize the volume distribution during different price movements.
3. **Rate of Change (ROC)**:
- The indicator calculates the rate of change for both volume and price over a specified period. This allows traders to see how volume and price are changing relative to each other.
```pinescript
roc = source / source
roc2 = source2 / source2
```
4. **Volume/Price Divergence (VPD)**:
- The VPD is derived from the ratio of the ROC of volume to the ROC of price. This ratio helps identify divergences:
- A VPD significantly above 10 may indicate strong divergence, suggesting that price movements are not supported by volume.
- A VPD around 1 indicates that volume and price are moving in harmony.
5. **Horizontal Lines**:
- The indicator includes horizontal lines at levels 10 (high divergence) and 1 (low divergence), serving as visual cues for traders to assess the market's state.
### Interpretation
- **Divergence**: If price makes a new high but volume does not follow (or vice versa), it may signal a potential reversal or weakness in the trend.
- **Volume Trends**: Analyzing the buying vs. selling volume can provide insights into market sentiment, helping traders make informed decisions.
- **Potential for a Strong Move**: A high VPD during a breakout indicates that while volume is increasing, the price isn’t moving significantly, suggesting that a big price move could be imminent.
- **Caution Before Entry**: Traders should be aware that the lack of price movement relative to high volume may signal an impending volatility spike, which could lead to a rapid price change in either direction.
Overall, this indicator is useful for traders looking to gauge the strength of price movements and identify potential reversals or breakouts based on volume trends.
Real Relative Strength Indicator (Multi-Index Comparison)The Real Relative Strength (RRS) indicator implements the "Real Relative Strength" equation, as detailed on the Real Day Trading subreddit wiki. This equation measures whether a stock is outperforming a benchmark (such as SPY or any preferred ETF/index) by calculating price change normalized by the Average True Range (ATR) of both the stock and the indices it’s being compared to.
The RRS metric often highlights potential accumulation by institutional players. For example, in this chart, you can observe accumulation in McDonald’s beginning at 1:25 pm ET on the 5-minute chart and continuing until 2:55 pm ET. When used in conjunction with other indicators or technical analysis, RRS can provide valuable buy and sell signals.
This indicator also supports multi-index analysis, allowing you to plot relative strength against two indices simultaneously—defaulting to SPY and QQQ—to gain insights into the "real relative strength" across different benchmarks. Additionally, this indicator includes an EMA line and background coloring to help automatically identify relative strength trends, providing a clearer visualization than typical Relative Strength Comparison indicators.
Gap Finder with Box FillSetup and Inputs
The indicator checks the current and previous candles to find gaps, using a color input for filling the gap area on the chart.
Gap Detection:
If the current candle opens higher than the previous close and doesn’t overlap with the previous candle’s range, it marks this as a gap-up.
If the current candle opens lower than the previous close without overlap, it’s marked as a gap-down.
Drawing the Gap:
When a gap-up or gap-down is found, the script draws a box from the previous close to the current candle’s low or high, filling it with the chosen color.
Benefits
Visual Aid: The filled box highlights gaps, making them easy to spot on the chart.
Trade Signals: Gaps can show strong market moves, helping traders spot potential entries or watch for reversals.
Customizable: You can adjust the color to fit your chart style, making the gaps stand out clearly.
This simple tool gives traders a quick view of gaps, which are often key points of interest in technical analysis.
MMRI Chart (Primary)The **Mannarino Market Risk Indicator (MMRI)** is a financial risk measurement tool created by financial strategist Gregory Mannarino. It’s designed to assess the risk level in the stock market and economy based on current bond market conditions and the strength of the U.S. dollar. The MMRI considers factors like the U.S. 10-Year Treasury Yield and the Dollar Index (DXY), which indicate investor confidence in government debt and the dollar's purchasing power, respectively.
The formula for MMRI uses the 10-Year Treasury Yield multiplied by the Dollar Index, divided by a constant (1.61) to normalize the risk measure. A higher MMRI score suggests increased market risk, while a lower score indicates more stability. Mannarino has set certain thresholds to interpret the MMRI score:
- **Below 100**: Low risk.
- **100–200**: Moderate risk.
- **200–300**: High risk.
- **Above 300**: Extreme risk, indicating market instability and potential downturns.
This tool aims to provide insight into economic conditions that may affect asset classes like stocks, bonds, and precious metals. Mannarino often updates MMRI scores and risk analyses in his public market updates.
Colored Moving Averages With RSI SignalsMoving Average (MA):
Helps to determine the overall market trend. If the price is above the MA, it may indicate an uptrend, and if below, a downtrend.
In this case, a Simple Moving Average (SMA) is used, but other types can be applied as well.
Relative Strength Index (RSI):
This is an oscillator that measures the speed and changes of price movements.
Values above 70 indicate overbought conditions (possible sell signal), while values below 30 indicate oversold conditions (possible buy signal).
Purpose of This Indicator:
Trading Signals: The indicator generates "Buy" and "Sell" signals based on the intersection of the price line and the moving average, as well as RSI values. This helps traders make more informed decisions.
Signal Filtering: Using RSI in combination with MA allows for filtering false signals since it considers not only the current trend but also the state of overbought or oversold conditions.
How to Use:
For Short-Term Trading: Traders can use buy and sell signals to enter trades based on short-term market fluctuations.
In Combination with Other Indicators: It can be combined with other indicators for a more comprehensive analysis (e.g., adding support and resistance levels).
Overall, this indicator helps traders respond more quickly and accurately to changes in market conditions, enhancing the chances of successful trades.
Linear Regression Channel UltimateKey Features and Benefits
Logarithmic scale option for improved analysis of long-term trends and volatile markets
Activity-based profiling using either touch count or volume data
Customizable channel width and number of profile fills
Adjustable number of most active levels displayed
Highly configurable visual settings for optimal chart readability
Why Logarithmic Scale Matters
The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatility. Unlike linear scales, log scales represent percentage changes consistently across the price range. This allows for:
Better visualization of long-term trends
More accurate comparison of price movements across different price levels
Improved analysis of volatile assets or markets experiencing rapid growth
How It Works
The indicator calculates a linear regression line based on the specified period
Upper and lower channel lines are drawn at a customizable distance from the regression line
The space between the channel lines is divided into a user-defined number of levels
For each level, the indicator tracks either:
- The number of times price touches the level (touch count method)
- The total volume traded when price is at the level (volume method)
The most active levels are highlighted based on this activity data
Understanding Touch Count vs Volume
Touch count method: Useful for identifying key support/resistance levels based on price action alone
Volume method: Provides insight into levels where the most trading activity occurs, potentially indicating stronger support/resistance
Practical Applications
Trend identification and strength assessment
Support and resistance level discovery
Entry and exit point optimization
Volume profile analysis for improved market structure understanding
This Linear Regression Channel indicator combines powerful statistical analysis with flexible visualization options, making it an invaluable tool for traders and analysts across various timeframes and markets. Its unique features, especially the logarithmic scale and activity profiling, provide deeper insights into market behavior and potential turning points.
Advanced Klinger OscillatorAdvanced Klinger Oscillator
The Advanced Klinger Oscillator is an enhanced version of the traditional Klinger Oscillator, which measures the difference between two exponential moving averages (EMAs) of volume flow. This tool helps traders identify momentum shifts and potential trading opportunities.
Key Features:
Dual EMA Calculation: The oscillator calculates the difference between a short-term and a long-term EMA of volume flow, smoothing out price fluctuations for clearer trend analysis.
Signal Line: A signal line, which is an EMA of the Klinger Oscillator, generates buy and sell signals. A crossover above the signal line indicates a potential buy, while a crossover below suggests a sell.
Volume Confirmation: Signals are only generated when trading volume exceeds a specified threshold, ensuring that price movements are supported by sufficient market activity.
Trend Lines: Upper and lower trend lines are plotted above the oscillator, helping traders visualize momentum strength and identify bullish or bearish trends.
Background Color Coding: The indicator uses color changes in the background to indicate positive (green) and negative (red) momentum, allowing for quick assessment of market conditions.
Usage:
Traders can utilize the Advanced Klinger Oscillator to:
Identify entry and exit points based on oscillator and signal line crossovers.
Confirm trends by observing the relationship between the oscillator and its trend lines.
Make informed trading decisions by considering volume alongside price movements.
The Advanced Klinger Oscillator is a valuable addition to any trader's toolkit, combining price momentum, volume analysis, and visual cues for effective trading strategies.
Inside Bar with Swing PointsSwing Points with Inside Bar
This script combines swing point analysis with an inside bar pattern visualization, merging essential concepts to identify and visualize key price levels and potential trend reversals. This is especially useful for traders looking to understand price action through swing levels and reactions within inside bar boundaries, making it effective for short-term trend analysis and reversal zone identification.
Script Features:
Swing Point Analysis:
The script identifies swing points based on fractals with a configurable number of bars, allowing for a choice between three and five bars, helping traders fine-tune sensitivity to price movements.
Swing points are visualized as labels, highlighting potential reversal or continuation zones in the price chart.
Inside Bar Visualization:
Inside bars are defined as bars where both the high and low are contained within the previous bar. These often signal consolidation before a potential breakout.
The script displays boundaries of the mother bar (the initial bar encompassing inside bars) and colors candles accordingly, highlighting those within these boundaries.
This feature helps traders focus on price areas where a breakout or trend shift may occur.
Utility and Application:
The script enables traders to visualize inside bars and swing points, which is particularly useful for short-term traders focused on reversal or trend continuation strategies.
Combining swing point analysis with inside bar identification offers a unique approach, helping traders locate key consolidation zones that may precede significant price moves.
This provides not only strong support and resistance levels but also insights into probable breakout points.
How to Use the Script:
Set the number of bars for swing point analysis (3 or 5) to adjust fractal sensitivity.
Enable mother bar boundary visualization and color indication for inside bars to easily spot consolidation patterns.
Pay attention to areas with multiple swing points and inside bars, as these often signal potential reversal or breakout zones.
This script offers flexible tools for analyzing price movements through both swing analysis and consolidation zone identification, aiding decision-making under uncertainty and enhancing market structure understanding.
The Pattern-Synced Moving Average System (PSMA)Description:
The Pattern-Synced Moving Average System (PSMA) is a comprehensive trading indicator that combines the reliability of moving averages with automated candlestick pattern detection, real-time alerts, and dynamic risk management to enhance both trend-following and reversal strategies. The PSMA system integrates key elements of trend analysis and pattern recognition to provide users with configurable entry, stop-loss, and take-profit levels. It is designed for all levels of traders who seek to trade in alignment with market context, using signals from trend direction and established candlestick patterns.
Key Functional Components:
Multi-Type Moving Average:
Provides flexibility with multiple moving average options: SMA, EMA, WMA, and SMMA.
The selected moving average helps users determine market trend direction, with price positions relative to the MA acting as a trend confirmation.
Automatic Candlestick Pattern Detection:
Identifies pivotal patterns, including bullish/bearish engulfing and reversal signals.
Helps traders spot potential market turning points and adjust their strategies accordingly.
Configurable Entry, Stop-Loss, and Take-Profit:
Risk management is customizable through risk/reward ratios and risk tolerance settings.
Entry, stop-loss, and take-profit levels are automatically plotted when patterns appear, facilitating rapid trade decision-making with predefined exit points.
Higher Timeframe Trend Confirmation:
Optional feature to verify trend alignment on a higher timeframe (e.g., checking a daily trend on an intraday chart).
This added filter improves signal reliability by focusing on patterns aligned with the broader market trend.
Real-Time Alerts:
Alerts can be set for key pattern detections, allowing traders to respond promptly without constant chart monitoring.
How to Use PSMA:
Set Moving Average Preferences:
Choose the preferred moving average type and length based on your trading strategy. The MA acts as a foundational trend indicator, with price positions indicating potential uptrends (price above MA) or downtrends (price below MA).
Adjust Risk Management Settings:
Set a Risk/Reward Ratio for defining take-profit levels relative to the entry and stop-loss levels.
Modify the Risk Tolerance Percentage to adjust stop-loss placement, adding flexibility in managing trades based on market volatility.
Activate Higher Timeframe Confirmation (Optional):
Enable higher timeframe trend confirmation to filter out counter-trend trades, ensuring that detected patterns are in sync with the larger market trend.
Review Alerts and Trade Levels:
With PSMA’s real-time alerts, traders receive notifications for detected patterns without having to continuously monitor charts.
Visualized entry, stop-loss, and take-profit lines simplify trade execution by highlighting levels directly on the chart.
Execute Based on Entry and Exit Levels:
The entry line suggests the potential entry price once a bullish or bearish pattern is detected.
The stop-loss line is based on your set risk tolerance, establishing a predefined risk level.
The take-profit line is calculated according to your preferred risk/reward ratio, providing a clear profit target.
Example Strategy:
Ensure price is above or below the selected moving average to confirm trend direction.
Await a PSMA signal for a bullish or bearish pattern.
Review the plotted entry, stop-loss, and take-profit lines, and enter the trade if the setup aligns with your risk/reward criteria.
Activate alerts for continuous monitoring, allowing PSMA to notify you of emerging trade opportunities.
Release Notes:
Line Color and Style Customization: Customizable colors and line styles for entry, stop-loss, and take-profit levels.
Dynamic Trade Tracking: Tracks trade statistics, including total trades, win rate, and average P/L, displayed in the data window for comprehensive trade performance analysis.
Summary: The PSMA indicator is a powerful, user-friendly tool that combines trend detection, pattern recognition, and risk management into a cohesive system for improved trade decision-making. Suitable for stocks, forex, and futures, PSMA offers a unique blend of adaptability and precision, making it valuable for day traders and long-term investors alike. Enjoy this tool as it enhances your ability to execute timely, well-informed trades on TradingView.
SMC Order Block & Liquidity EntryThe SMC Order Block and Liquidity Trap Entry Strategy script uses Smart Money Concepts (SMC), which analyze institutional actions in the market, to assist traders in identifying high-probability trades. In order to help traders match their entry with institutional activity, this script highlights important regions of interest, including order blocks, liquidity zones, and indications for Break of Structure (BOS) or Change of Character (CHoCH).
The fundamental ideas of this approach, which focuses on regions where institutions frequently make sizable orders or sweep liquidity, are based on SMC principles. Order blocks, which are frequently important support or resistance zones when institutions are involved, are the final bullish or bearish candle before a significant price move in the other direction. There are liquidity zones that show where retail stop-loss orders build up (above recent highs or below recent lows), such as Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL). Before changing the direction of the price, institutions could target these zones, giving traders possible chances.
The script depicts liquidity levels above or below recent highs and lows, automatically finds order blocks within a specified lookback time, and looks for BOS (a continuation signal) or CHoCH (a reversal signal). When liquidity retests inside an order block coincide with BOS or CHoCH circumstances, entry signals are produced. While short entries are triggered when the price breaks below the order block and SSL, long entry alerts are triggered when the price breaks above the order block and BSL.
Power Root SuperTrend [AlgoAlpha]📈🚀 Power Root SuperTrend by AlgoAlpha - Elevate Your Trading Strategy! 🌟
Introducing the Power Root SuperTrend by AlgoAlpha, an advanced trading indicator that enhances the traditional SuperTrend by incorporating Root-Mean-Square (RMS) calculations for a more responsive and adaptive trend detection. This innovative tool is designed to help traders identify trend directions, potential take-profit levels, and optimize entry and exit points with greater accuracy, making it an excellent addition to your trading arsenal.
Key Features:
🔹 Root-Mean-Square SuperTrend Calculation : Utilizes the RMS of closing prices to create a smoother and more sensitive SuperTrend line that adapts quickly to market changes.
🔸 Multiple Take-Profit Levels : Automatically calculates and plots up to seven take-profit levels (TP1 to TP7) based on market volatility and the change in SuperTrend values.
🟢 Dynamic Trend Coloring : Visually distinguish between bullish and bearish trends with customizable colors for clearer market visualization.
📊 RSI-Based Take-Profit Signals : Incorporates the Relative Strength Index (RSI) of the distance between the price and the SuperTrend line to generate additional take-profit signals.
🔔 Customizable Alerts : Set alerts for trend direction changes, achievement of take-profit levels, and RSI-based take-profit conditions to stay informed without constant chart monitoring.
How to Use:
Add the Indicator : Add the indicator to favorites by pressing the ⭐ icon or search for "Power Root SuperTrend " in the TradingView indicators library and add it to your chart. Adjust parameters such as the ATR multiplier, ATR length, RMS length, and RSI take-profit length to suit your trading style and the specific asset you are analyzing.
Analyze the Chart : Observe the SuperTrend line and the plotted take-profit levels. The color changes indicate trend directions—green for bullish and red for bearish trends.
Set Alerts : Utilize the built-in alert conditions to receive notifications when the trend direction changes, when each TP level is drawn, or when RSI-based take-profit conditions are met.
How It Works:
The Power Root SuperTrend indicator enhances traditional SuperTrend calculations by applying a Root-Mean-Square (RMS) function to the closing prices, resulting in a more responsive trend line that better reflects recent price movements. It calculates the Average True Range (ATR) to determine the volatility and sets the upper and lower SuperTrend bands accordingly. When a trend direction change is detected—signified by the SuperTrend line switching from above to below the price or vice versa—the indicator calculates the change in the SuperTrend value. This change is then used to establish multiple take-profit levels (TP1 to TP7), each representing incremental targets based on market volatility. Additionally, the indicator computes the RSI of the distance between the current price and the SuperTrend line to generate extra take-profit signals when the RSI crosses under a specific threshold. The combination of RMS calculations, multiple TP levels, dynamic coloring, and RSI signals provides traders with a comprehensive tool for identifying trends and optimizing trade exits. Customizable alerts ensure that traders can stay updated on important market developments without needing to constantly watch the charts.
Elevate your trading strategy with the Power Root SuperTrend indicator and gain a smarter edge in the markets! 🚀✨
Basic RSI Strategy with MFI Description: This Pine Script is a custom trading strategy that combines the power of the RSI (Relative Strength Index) and MFI (Money Flow Index) indicators with additional signal filters and a user-friendly dashboard. The strategy is designed to identify potential entry and exit points based on dynamic conditions, providing an advanced approach to technical analysis and decision-making in trading.
Key Features:
RSI-Based Signals:
Generates buy signals when the RSI-based moving average crosses above specific thresholds (29 and 50).
Generates sell signals when the RSI-based moving average crosses below specific thresholds (50 and 69).
MFI Filtering:
Signals are validated only if the MFI value is within the specified range of 20 to 80, ensuring that signals are generated only when market conditions are favorable.
Dynamic Signal Thresholds:
The script includes adjustable thresholds for the percentage difference between consecutive bars, as well as the range between high and low prices, to refine signal accuracy.
Dashboard:
Displays real-time statistics in the top right corner of the chart, including the total number of signals, the count of buy and sell signals, and the time duration over which these signals were generated.
How to Use:
Settings: Customize the RSI and MFI lengths, along with thresholds for price movement and MFI range. This flexibility allows the strategy to be tailored to different market conditions and timeframes.
Dashboard Insight: Track the strategy's performance in real-time, with an intuitive overview of generated signals and their time distribution on the chart.
Ideal For:
This script is suitable for traders seeking a robust, customizable, and real-time signal generation strategy that combines momentum and volume indicators. The strategy’s unique filtering mechanism provides a higher level of precision, making it an excellent tool for those who prioritize signal accuracy and clarity.
SMA- Ashish SinghSMA
This script implements a Simple Moving Average (SMA) crossover strategy using three SMAs: 200-day, 50-day, and 20-day, with buy and sell signals triggered based on specific conditions involving these moving averages. The indicator is overlaid on the price chart, providing visual cues for potential buy and sell opportunities based on moving average crossovers.
Key Features:
Moving Averages:
The 200-day, 50-day, and 20-day SMAs are calculated and plotted on the price chart. These are key levels that traders use to assess trends.
The 200-day SMA represents the long-term trend, the 50-day SMA is used for medium-term trends, and the 20-day SMA is for short-term analysis.
Buy Signal:
A buy signal is triggered when the price is below all three moving averages (200 SMA, 50 SMA, 20 SMA) and the SMAs are in a specific downward trend (200 SMA > 50 SMA > 20 SMA). This is an indication of a potential upward reversal.
The buy signal is marked with a green triangle below the price bar.
Sell Signal:
A sell signal is triggered when the price is above all three moving averages and the SMAs are in a specific upward trend (200 SMA < 50 SMA < 20 SMA). This signals a potential downward reversal.
The sell signal is marked with a red triangle above the price bar.
Trade Information:
After a buy signal, the buy price, bar index, and timestamp are recorded. When a sell signal occurs, the percentage gain or loss is calculated along with the number of days between the buy and sell signals.
The script automatically displays a label on the chart showing the gain or loss percentage along with the number of days the trade lasted. Green labels represent gains, and red labels represent losses.
User-friendly Visuals:
The buy and sell signals are plotted as small triangles directly on the chart for easy identification.
Detailed trade information is provided with well-formatted labels to highlight the profit or loss after each trade.
How It Works:
This strategy helps traders to identify trend reversals by leveraging long-term and short-term moving averages.
A single buy or sell signal is triggered based on price movement relative to the SMAs and their order.
The tool is designed to help traders quickly spot buying and selling opportunities with clear visual indicators and gain/loss metrics.
This indicator is ideal for traders looking to implement a systematic SMA-based strategy with well-defined buy/sell points and automatic performance tracking for each trade.
Disclaimer: The information provided here is for educational and informational purposes only. It is not intended as financial advice or as a recommendation to buy or sell any stocks. Please conduct your own research or consult a financial advisor before making any investment decisions. ProfitLens does not guarantee the accuracy, completeness, or reliability of any information presented.
Price ActionThis Pine Script code creates an indicator that plots price channels for volatility analysis:
The main parameter is the period length (default is 30), used to calculate volatility with ATR (Average True Range). Data retrieval: The indicator takes the closing price and uses it for calculations. Channel calculation: Based on volatility, three levels of channels are created: the first is the base channel, while the second and third are expanded by 8% and 16%.
First-level channels: The upper and lower boundaries of the channel are calculated based on volatility. This uses the previous bar's closing price, adjusted by a volatility coefficient.
Second and third-level channels: These channels expand by 8% and 16%, respectively, from the base channel. This creates zones that can indicate increasing or decreasing market volatility.
Each channel uses different colors and transparency levels:
The upper and lower boundaries of the first channel have solid colors.
The second channel boundaries are more transparent to denote extended levels.
The third channel boundaries are also transparent, indicating the widest range of deviation.
Visualization: Channels are displayed with different colors and transparency levels to illustrate price ranges and volatility changes.
Purpose: The indicator helps traders visualize price ranges and assess market volatility, which is useful for making trading decisions.
Practical application: This indicator assists traders in evaluating market volatility and building trading strategies based on price ranges. The extended channels can be used to identify potential reversal or trend continuation zones.
