Abnormal volume [VG]🪙 INTRODUCTION
This technical indicator helps identify and highlight large volume clusters on the chart.
Abnormal volume refers to unusually large accumulations of volume over short time intervals. Such clusters appear when the amount of assets bought or sold significantly exceeds typical volumes for a specific asset over a given period. These patterns can indicate significant events or intentions of market participants.
Reasons for abnormal volume clusters:
Institutional investments :
Large investment funds and banks may buy or sell significant volumes of assets to rebalance their portfolios.
Impact of news and events :
Important news (e.g., mergers, bankruptcies, management changes) can trigger large-scale buying or selling of assets.
Market manipulation :
Big players may execute large trades to artificially create demand or supply for an asset, affecting its price in the short term.
Insider trading :
Abnormal volumes may signal that someone with insider information has started buying or selling assets in anticipation of future events that could impact the price.
What do abnormal volume clusters mean for traders?
A signal of potential price changes :
High trading volumes are often accompanied by sharp price movements. An increase in volume during price growth might indicate rising interest in the asset, while an increase during a decline could signal a sell-off.
Potential entry or exit points :
For short-term traders, abnormal trades can serve as signals to enter or exit positions. For example, a large volume growth accompanied by a breakout of a key level might be seen as a buy signal.
Caution due to potential manipulation :
Abnormal trades don’t always lead to expected outcomes. Sometimes, they are part of a price manipulation strategy, so it’s essential to consider the broader context and confirm with other signals.
🪙 USAGE
This indicator doesn’t provide trading signals, entry points, or actionable recommendations.
Instead, it simplifies tracking market dynamics and highlights unusual activity worth considering during analysis.
After adding the indicator to the chart, you only need to configure two parameters: the threshold value that determines what constitutes a significant volume cluster and the period over which volumes are aggregated for comparison against the threshold.
It’s recommended to use the shortest available period, as this helps more precisely identify the prevailing volume direction (since this depends on price changes, not trade direction).
The threshold value can be fine-tuned by switching the chart’s timeframe to match the selected period, observing of the significant volume increase on the classic volume histogram, and noting the corresponding market reactions. This allows for selecting a threshold that highlights early signs of impactful trading events on higher timeframes.
Let’s look at an example in the screenshot:
Once the parameters are set, you can also enable an alert to trigger whenever a new volume cluster appears, simplifying event tracking.
Note: in the current version of the indicator, the alert will be triggered only once per bar on the chart at the first detected cluster of abnormal volume.
🪙 IMPLEMENTATION
Technically, the script retrieves volume data from a lower timeframe and estimates whether the volume was primarily generated by buyers or sellers based on price movements.
The lower resolution timeframe is determined as follows:
if the settings base period is less than 1 minute, then the data timeframe will be equal to 1 second
if the settings base period is equals 1 minute or more, then the data timeframe will be equal to 1 minute
The algorithm checks whether the price increased or decreased at each point. If the price rose, the volume is presumed to be driven by buyers and marked as buy volume; otherwise, it’s marked as sell volume.
The total volume at each point is then checked against the user-defined threshold. If the volume exceeds the threshold, a corresponding circle is drawn on the chart, and an alert is generated if created.
The size of the visual representation is proportional to the most recent maximum volume and follows the rules below:
Percentage of max volume -> Volume cluster size
less than 25% -> Tiny
25% to 50% -> Small
50% to 75% -> Normal
75% to 100% -> Large
100% or more -> Huge
🪙 SETTINGS
The indicator is designed to be as simple and minimalist as possible, making configuration effortless. There are only two core parameters, with additional options to customize the colors of volume clusters based on their type.
Trade volume threshold
Defines the volume level above which a cluster is considered significant and displayed on the chart as a circle. The size of the circle depends on the proportion of the current volume relative to the most recent maximum over the chosen period.
Trades base period
Specifies the period for aggregating trade volumes to determine whether they qualify as abnormal. The significance level is set using the Trade volume threshold parameter.
Buy/Sell trades
Allows you to set the colors for abnormal volume circles based on the price direction during cluster formation.
🪙 CONCLUSION
Abnormal volume clusters are always a critical indicator requiring attention and analysis, but they are not a guaranteed predictor of trend changes.
Indicators and strategies
TMA Bands TMA (Triangular Moving Average):
Üçgen hareketli ortalamalar, fiyat verilerini yumuşatarak trendi daha net göstermek için kullanılır.
"Centered Asymmetric Bands" terimi, bu indikatörün merkezlenmiş bir yapıda çalıştığını ve farklı genişliklerde bantlar içerdiğini gösteriyor.
BTC vs Altcoin CorrelationThis Pine Script indicator calculates and visualizes the rolling correlation between Bitcoin (BTC) and a selected altcoin, while providing insights into the percentage of time the correlation remains above a user-defined threshold. Users can independently configure the correlation calculation period and the lookback period for measuring the percentage of time above the threshold. The correlation is displayed as a color-coded line: green when above the threshold and red otherwise, with a dashed horizontal line marking the threshold level. A dynamic table displays the current correlation value and the percentage of time spent above the threshold within the specified period, enabling quick evaluation of correlation dynamics between BTC and the chosen altcoin.
Trend Speed Analyzer (Zeiierman)█ Overview
The Trend Speed Analyzer by Zeiierman is designed to measure the strength and speed of market trends, providing traders with actionable insights into momentum dynamics. By combining a dynamic moving average with wave and speed analysis, it visually highlights shifts in trend direction, market strength, and potential reversals. This tool is ideal for identifying breakout opportunities, gauging trend consistency, and understanding the dominance of bullish or bearish forces over various timeframes.
█ How It Works
The indicator employs a Dynamic Moving Average (DMA) enhanced with an Accelerator Factor, allowing it to adapt dynamically to market conditions. The DMA is responsive to price changes, making it suitable for both long-term trends and short-term momentum analysis.
Key components include:
Trend Speed Analysis: Measures the speed of market movements, highlighting momentum shifts with visual cues.
Wave Analysis: Tracks bullish and bearish wave sizes to determine market strength and bias.
Normalized Speed Values: Ensures consistency across different market conditions by adjusting for volatility.
⚪ Average Wave and Max Wave
These metrics analyze the size of bullish and bearish waves over a specified Lookback Period:
Average Wave: This represents the mean size of bullish and bearish movements, helping traders gauge overall market strength.
Max Wave: Highlights the largest movements within the period, identifying peak momentum during trend surges.
⚪ Current Wave Ratio
This feature compares the current wave's size against historical data:
Average Wave Ratio: Indicates if the current momentum exceeds historical averages. A value above 1 suggests the trend is gaining strength.
Max Wave Ratio: Shows whether the current wave surpasses previous peak movements, signaling potential breakouts or trend accelerations.
⚪ Dominance
Dominance metrics reveal whether bulls or bears have controlled the market during the Lookback Period:
Average Dominance: Compares the net difference between average bullish and bearish wave sizes.
Max Dominance: Highlights which side had the stronger individual waves, indicating key power shifts in market dynamics.
Positive values suggest bullish dominance, while negative values point to bearish control. This helps traders confirm trend direction or anticipate reversals.
█ How to Use
Identify Trends: Leverage the color-coded candlesticks and dynamic trend line to assess the overall market direction with clarity.
Monitor Momentum: Use the Trend Speed histogram to track changes in momentum, identifying periods of acceleration or deceleration.
Analyze Waves: Compare the sizes of bullish and bearish waves to identify the prevailing market bias and detect potential shifts in sentiment. Additionally, fluctuations in Current Wave ratio values should be monitored as early indicators of possible trend reversals.
Evaluate Dominance: Utilize dominance metrics to confirm the strength and direction of the current trend.
█ Settings
Maximum Length: Sets the smoothing of the trend line.
Accelerator Multiplier: Adjusts sensitivity to price changes.
Lookback Period: Defines the range for wave calculations.
Enable Table: Displays statistical metrics for in-depth analysis.
Enable Candles: Activates color-coded candlesticks.
Collection Period: Normalizes trend speed values for better accuracy.
Start Date: Limits calculations to a specific timeframe.
Timer Option: Choose between using all available data or starting from a custom date.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Simplified Momentum ScoreIndicator Name: Simplified Momentum Score
Description:
The Simplified Momentum Score indicator calculates the normalized price momentum of an asset over a user-defined period (e.g., 30 days). It provides a single actionable score between 0 and 1, making it easy to compare the relative strength of different tokens or assets:
1: Strongest momentum (best performer).
0: Weakest momentum (worst performer).
How to Use:
Apply this indicator to any chart in TradingView.
Use the normalized score to rank tokens or assets:
Closer to 1: Indicates strong recent price performance.
Closer to 0: Indicates weak recent price performance.
Customize the momentum period to match your trading strategy.
This tool is ideal for quick comparative analysis of multiple tokens to identify top-performing assets. Keep it simple, actionable, and effective! 🚀
Relative Momentum StrengthThe Relative Momentum Strength (RMS) indicator is designed to help traders and investors identify tokens with the strongest momentum over two customizable timeframes. It calculates and plots the percentage price change over 30-day and 90-day periods (or user-defined periods) to evaluate a token's relative performance.
30-Day Momentum (Green Line): Short-term price momentum, highlighting recent trends and movements.
90-Day Momentum (Blue Line): Medium-term price momentum, providing insights into broader trends.
This tool is ideal for comparing multiple tokens or assets to identify those showing consistent strength or weakness. Use it to spot outperformers and potential reversals in a competitive universe of assets.
How to Use:
Apply this indicator to your TradingView chart for any token or asset.
Look for tokens with consistently high positive momentum for potential strength.
Use the plotted values to compare relative performance across your watchlist.
Customization:
Adjust the momentum periods to suit your trading strategy.
Overlay it with other indicators like RSI or volume for deeper analysis.
Consecutive Lower Highs/Higher Lows v1 [tradinggeniusberlin]This indicator counts the lower highs and higher low streaks. If the streak is above a certain threshold a buy or exit arrow is shown.
Idea:
The probability of a reversal is rising the more lower highs the asset had already because if mean reversion tendencies of asset prices. Especially in uptrend above the 20ma and/or 50ma.
How to use it:
In Uptrends, lower high streak of 3 or more, enter at first new high.
Candlestick Strength and Volatility ReadoutDisplays a readout on the top right corner of the screen displaying a two basic calculations (volatility and strength; i.e. candlestick size and how close to the highs or lows it closed) for more convenient candlestick (price action) analysis.
Due to restrictions with Pine Script (or my knowledge thereof) only the current and previous candlestick data is shown, rather than the one currently hovered over.
The data is derived via two simple calculations; volatility being division between the range of the candlestick's high and low by the ATR; 'strength' (what I like to call it) being the range of the body by the range of the open to high or low, depending on the facing direction (positive or negative candlestick). These are expressed as percentages and will turn green depending on the set threshold.
Using this, one can effectively automate calculations you'd have to do by hand otherwise. I personally use these as entry filters in my trading, so it helps to not have to measure, remeasure, and divide before each potential entry.
Settings are implemented to change certain variables to your liking.
Potential Upcoming Trend ToolThis Script has the specific use of identifying when and how a new trend may start to take form, rather than focusing on how a trend has already formed on a longer term basis.
This Script is useful on it's own and not in conjunction with another. It works by taking on the most recent price data rather than a long term historical string.
It differs from standard trend following indicators because it's use is far less historical, and more present. It requires less pivot points than normal to be validated as a strong trend.
It works by taking local pivot points and fractals to form its parallel basis. The Trend lines will continually move as more recent price action data appears and the the channel will get thinner, until it is clear a trend has arrived and consolidated.
The idea really is to see a constantly evolving picture of a sudden change in movement, allowing you to have an earlier eye on what is potentially to come.
The faint mid-point line gives a reasonable reading of where you would find yourself halfway within a new trend and will also move inline with the shown trendlines.
This allows you to easily track when sentiment and therefore trends are about to change. It's much more useful on lower timeframes because they will often give the first indication something is changing.
Colours are fully customisable.
RSI Difference (Fast and Slow)Introduction
Oscillators like the RSI are fundamental tools for identifying trends in financial markets. Their ability to measure price momentum allows traders to detect overbought, oversold levels, and divergences, anticipating trend changes. Are there ways to improve the use of traditional RSI? How can we obtain more detailed information about current trends? This indicator answers these questions by expanding the functionalities of the traditional RSI and offering an additional tool for analysis.
How does it work?
This indicator provides a framework for trend analysis based on the following setup:
Fast RSI
Slow RSI
SMA of the fast RSI
SMA of the slow RSI
Histogram
Custom Indicator Settings
My preferred configuration is based on the 13 and 55 moving averages. The rest of the setup is as follows:
I typically use the 13 and 55 moving averages to configure both the RSI and short- and long-term moving averages.
Interpretation and Signals: Including a Long-Period RSI
Including a long-period RSI helps identify key patterns in market behavior. Crossovers between the two can be used to establish entry patterns:
If the fast RSI crosses above the slow RSI, this could indicate a long-entry pattern.
If the fast RSI crosses below the slow RSI, this could indicate a short-entry pattern.
Interpretation and Signals: Including Moving Averages
Including moving averages for both the short- and long-period RSI can help identify the base trend of the movement and, consequently:
Avoid false signals.
Trade in favor of the trend.
A simple way to start working with these is to use the crossover of the moving averages to identify the current trend:
If the short-period SMA is above the long-period SMA, the trend is bullish.
If the short-period SMA is below the long-period SMA, the trend is bearish.
Interpretation and Signals: The Histogram
The histogram represents the difference between the moving averages. If the histogram is positive, the short average is above the long average. If the histogram is below zero, the short average is below the long average. Divergences with price provide signals of potential exhaustion in the movement, indicating a possible reversal.
Indicator Details
This indicator builds upon the traditional RSI by integrating additional features that enhance its utility for traders. Here’s how each component is calculated and how they contribute to the originality of the script:
Fast RSI and Slow RSI: The fast RSI is calculated using a shorter lookback period, allowing it to capture rapid changes in momentum. The slow RSI uses a longer period to smooth out fluctuations and provide a broader view of the trend. These two RSIs work together to identify significant momentum shifts.
SMA of RSI values: The simple moving averages (SMA) of the fast and slow RSI help filter out noise and provide clear crossover signals. The SMAs are calculated using standard formulas but applied to the RSI values rather than price data, which adds a layer of insight into momentum trends.
Histogram calculation: The histogram represents the difference between the SMA of the fast RSI and the SMA of the slow RSI. This value gives a visual representation of the convergence or divergence of momentum. When the histogram crosses zero, it signifies a potential shift in the underlying trend.
This indicator combines multiple layers of analysis: fast and slow momentum, trend confirmation through SMAs, and divergence detection via the histogram. This multi-dimensional approach provides traders with a more comprehensive tool for trend analysis and decision-making.
Conclusion
This article has explored how to use this indicator to identify trends, leverage entry patterns, and analyze divergences by combining the fast RSI, slow RSI, their moving averages, and a histogram. Additionally, I’ve detailed how I usually interpret this indicator:
Identifying RSI patterns to anticipate momentum changes.
Using SMAs to confirm base trends.
Leveraging the histogram to detect divergences and potential price reversals.
VAMA - Volume Adjusted Moving Average [jpkxyz]VAMA is a moving average that adapts to volume, giving more weight to price movements backed by higher relative volume. This VAMA (Volume Adjusted Moving Average) indicator implementation emphasizes visual clarity. It is based on the VAMA script by @allanster
Dual VAMA lines (Fast/Slow) with dynamic coloring:
Single-color scheme switches between green (bullish) and red (bearish)
Color changes on crossovers rather than relative position
Configurable line widths (set to 1 for clean appearance)
Visual enhancements:
Optional fill between VAMA lines (50% transparency)
Crossover dots can be toggled
Fills and dots match the current trend color
Customization parameters:
Independent source inputs for Fast/Slow lines
Adjustable VI Factor (volume influence)
Sample size control
Strict/non-strict calculation toggle
The code maintains efficient computation while prioritizing visual feedback for trend changes. It's designed for clear signal identification without visual clutter.
Notable style choices:
Consistent color theming throughout all visual elements
Simplified color transitions (only at crossovers)
Subtle transparency for fill areas
Minimal dot size for crossover markers
VAMA (Volume Adjusted Moving Average) Technical Analysis:
Core Calculation:
1. Volume Influence (v2i):
v2i = volume / ((total_volume/total_periods) * volume_factor)
- total_volume: Sum of volume over sample period
- total_periods: Either full history (nvb=0) or specified sample size
- volume_factor: Controls sensitivity to volume deviation
2. Price Weighting:
weighted_price = source_price * v2i
3. Accumulation Process:
- Iterates through length*10 periods
- Accumulates weighted prices and volume influence values
- Continues until volume influence sum >= specified length or strict rule triggers
4. Final VAMA Value:
vama = (weighted_sum - (volume_sum - length) * last_price) / length
Parameters:
- SampleN: Historical reference length (0=full history)
- Length: Base period for calculation
- VI Factor: Volume influence multiplier (>0.01)
- Strict: Forces exact length period completion when true
- Source: Input price data
3 Drive Harmonic Pattern [TradingFinder] Three Drive Reversal🔵 Introduction
The Three Drive harmonic pattern closely resembles other price structures such as Wedge Pattern and Three Push Pattern, yet it stands out due to its precise use of Fibonacci ratios and symmetrical price movements.
This pattern comprises three consecutive and symmetrical price drives, each validated by key Fibonacci ratios (1.27 and 1.618), which help identify critical Potential Reversal Zones (PRZ).
Unlike the Wedge, which relies on converging trend lines and can indicate either continuation or reversal, and the Three Push, which lacks defined Fibonacci ratios and symmetry, the Three Drive pattern defines PRZ with greater accuracy, providing traders with high-probability trading opportunities.
This pattern appears in both bullish and bearish trends. After the completion of the third drive (Drive 3), it signals the market's readiness to reverse direction. The PRZ in this pattern serves as a crucial zone where price is highly likely to reverse, offering a strategic point for entering or exiting trades. Professional traders utilize the Three Drive pattern and PRZ as essential tools for analyzing and capitalizing on potential market reversals.
Bullish Pattern :
Bearish Pattern :
🔵 How to Use
The Three Drive harmonic pattern is an effective tool for identifying potential reversal points in the market. By utilizing Fibonacci extension levels (1.27 and 1.618) and focusing on the pattern’s symmetry, traders can pinpoint Potential Reversal Zones (PRZ) where the price is likely to change direction. This pattern works in both bearish and bullish scenarios, each with distinct characteristics and trading opportunities.
🟣 Bullish Three Drive Pattern
The bullish Three Drive pattern develops during a downtrend, indicating a potential reversal to the upside. Similar to its bearish counterpart, this pattern features three consecutive downward price movements (drives) with retracements in between. The third drive concludes within the PRZ, which serves as a strong support zone where the price is expected to reverse upwards.
The first drive begins with a downward movement, followed by a retracement to the 0.618 Fibonacci level. The second drive continues downward to reach a 1.27 or 1.618 Fibonacci extension of the retracement. Finally, the third drive aligns with the PRZ, where a confluence of Fibonacci levels creates a high-probability support zone.
In the PRZ, traders look for bullish confirmation signals such as bullish candlestick patterns (e.g., bullish engulfing or pin bars) or increasing trading volume. Once confirmation is observed, the PRZ becomes an ideal entry point for a buy position. Stop-loss orders are placed slightly below the PRZ to minimize risk, while take-profit targets are set at key resistance levels or Fibonacci retracement levels.
🟣 Bearish Three Drive Pattern
The bearish Three Drive pattern forms during an uptrend, signaling a potential reversal to the downside. This pattern consists of three consecutive upward price movements (drives) and intermediate retracements. Each drive aligns with Fibonacci extension levels, and the third drive ends within the PRZ, indicating a high probability of a bearish reversal.
In the first drive, the price moves upward and then retraces to approximately the 0.618 Fibonacci retracement level, forming the base for the second drive. The second drive then extends upward to the 1.27 or 1.618 Fibonacci extension of the preceding retracement. This process repeats for the third drive, which reaches the PRZ, typically defined by the convergence of Fibonacci levels from previous drives.
Once the PRZ is identified, traders look for confirmation signals such as bearish candlestick patterns (e.g., bearish engulfing or pin bars) or declining trading volume. If confirmation is present, the PRZ becomes an optimal zone for entering a sell position. Stop-loss levels are typically placed slightly above the PRZ to protect against pattern failure, and take-profit targets are set at key support levels or Fibonacci retracement levels of the overall structure.
🟣 Three Drive Vs Wedge Pattern Vs 3 Push pattern
The Three Drive, Wedge, and Three Push patterns are all used to identify potential price reversal points, but they differ significantly in structure and application. The Three Drive pattern is based on three consecutive and symmetrical price movements, validated by precise Fibonacci ratios (1.27 and 1.618), to define Potential Reversal Zones (PRZ).
In contrast, the Wedge pattern relies on converging trend lines and does not require Fibonacci ratios; it can act as either a reversal or continuation pattern. Meanwhile, the Three Push pattern shares similarities with Three Drive but lacks precise symmetry and Fibonacci-based validation.
Instead of a PRZ, Three Push focuses on identifying areas of support and resistance, often signaling weakening momentum in the current trend. Among these, the Three Drive pattern is more reliable for pinpointing high-probability reversal zones due to its strict Fibonacci-based and symmetrical structure.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Format : If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Three Drive pattern is a highly effective harmonic tool for identifying potential reversal points in the market. By leveraging its symmetrical structure and precise Fibonacci ratios (1.27 and 1.618), this pattern provides traders with clear entry and exit signals, enhancing the accuracy of their trades.
Whether in bullish or bearish scenarios, the identification of the Potential Reversal Zone (PRZ) serves as a critical aspect of this pattern, enabling traders to anticipate price movements with greater confidence.
Compared to similar patterns like Wedge and Three Push, the Three Drive pattern stands out for its stringent reliance on Fibonacci levels and symmetrical price movements, making it a more robust choice for forecasting reversals. However, as with any technical analysis tool, its effectiveness increases when combined with confirmation signals, such as candlestick patterns, volume analysis, and broader market context.
Mastering the Three Drive pattern requires practice and attention to detail, especially in accurately defining the PRZ and ensuring the pattern adheres to its criteria. Traders who consistently apply this pattern as part of a comprehensive trading strategy can capitalize on high-probability opportunities and improve their overall performance in the market.
Support/Resistance Strength [UAlgo]The Support/Resistance Strength indicator is a tool designed for traders seeking a precise understanding of key support and resistance levels in the market. This tool dynamically identifies and visualizes support and resistance zones based on pivot points and strength criteria, providing traders with actionable insights for better decision-making.
By incorporating features such as ATR-based or percentage-based channel calculations, customizable strength thresholds, and intuitive visualization of key levels, the indicator caters to traders of various skill levels and strategies. It also adapts dynamically to market conditions, allowing users to identify frequently tested zones with minimal manual input.
🔶 Key Features
Dynamic Support and Resistance Zones
Automatically detects significant support and resistance levels using pivot high and low calculations.
Offers ATR-based or percentage-based channel customization to cater to diverse trading styles.
Customizable Parameters
Lookback period for pivot calculations, strength threshold, and maximum stored pivots are fully adjustable.
Display options for showing specific numbers of recent support/resistance lines.
Intuitive Visualization
Highlights key support and resistance levels with color-coded lines and labels.
Includes percentage deviation from the current price for quick assessment.
Interactive Updates
Continuously updates support and resistance levels to reflect changing market dynamics.
Displays pivot points visually for enhanced clarity.
Can be used effectively on various timeframes, from intraday to daily and weekly charts.
🔶 Interpreting the Indicator
Identifying Key Levels
Support levels are indicated by green (lime) lines and resistance levels by red lines. The transparency of colors is adjustable for visual preference.
Labels display the exact price level and the percentage difference from the current price.
Strength Threshold
The "Minimum S/R Strength" parameter defines how frequently a level must be tested to be considered significant.
Higher strength values indicate zones that have been tested more frequently, suggesting stronger support or resistance.
Pivot Points
The indicator marks pivot high and low points on the chart to provide a visual representation of the calculated levels.
Dynamic Updates
The indicator adapts to the most recent price action. If the price moves above a resistance level or below a support level, the color of the lines and labels will dynamically change to reflect the current price positioning.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Refined Entries with AlertsHELLO? this is an indicator that uses, different strategies to find you some nice entries, you can try using it and also feel free to help me add more on it to make it easy, to trade.
ROI Levels IndicatorROI Levels Indicator 📈💰
Description: The "ROI Levels Indicator" helps you visualize key Return on Investment (ROI) levels directly on your chart, making it easier to track your profit milestones! 🚀 This tool allows you to enter your entry price, and it calculates levels from 100% up to 1000% ROI, each with a spread to represent potential support and resistance zones. The levels are visually represented by red rectangles to help identify zones where the market might react. This is a great way for traders to easily understand profit-taking points and psychological price levels!
Features:
🛠️ Custom Entry Price: Set your own entry price to start calculating ROI levels.
📊 Multiple ROI Levels: Levels from 100% to 1000%, with a customizable spread for visual clarity.
🔴 Visual Representation: Each level is marked with a full-screen-width rectangle and label, making it easy to track.
🚨 Entry Price Plot: A red dashed line marks your entry price for easy reference.
How to Use:
Enter Your Price: Use the "Entry Price" input field to specify the entry price of your trade.
Spread Adjustment: Adjust the spread percentage if you want more or less tolerance around each ROI level.
View the Levels: The script automatically plots 100% to 1000% ROI levels. Each level is represented by a red rectangle and labeled on the right side for quick identification.
Track Profit Zones: Use the plotted ROI levels to identify key profit-taking areas or potential zones of support and resistance.
Pro Tip: Use these levels as reference points to decide when to scale out of positions or manage risk effectively! 🎯
Happy trading, and may your ROI always be on the rise! 📈🔥
Bitcoin Cycle High/Low with functional Alert [heswaikcrypt]Introduction
Just as machines are fine-tuned for maximum efficiency, trading indicators must evolve to meet the demands of ever-changing markets.
Credit goes to the initial author, @NoCreditsLeft I only improved the existing Pi-cycle indicator with a functional alert and included a bull mode indicator in the script. The alert can help you get a live alert at candle close when the cycle tops, bottoms, and the potential bull phase switch occurs.
Philip Swift’s Pi Cycle Top Indicator is a brilliant example of leveraging mathematical relationships to signal critical turning points in Bitcoin’s price cycles. Historically, it has identified market and local tops with some relative accuracy, often within three days, as demonstrated in all the previous bull run cycles.
At its core, the Pi Cycle Indicator derives its name from the mathematical constant π (pi), achieved by using simple moving averages (MAs) in a specific ratio: 𝜋 = Long MA/short MA
The Bull mode switch is calculated using a crossover of the short exponentia moving average and the long moving average.
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Knowing when Bitcoin reaches its top—and receiving timely alerts about it—is crucial for successful trading. The indicator is designed to signal;
Potential Bitcoin tops: Purple label
Potential Bitcoin bottoms : green Label, and
Parabolic swing : Yellow diamond shape (relating to the market switching to a potential bull mode)
"Please note: This indicator is tailored for Bitcoin using historical data analysis and should not be considered definitive. However accurate it might be."
Setting alerts
To set the alert conditions, select any alert function call to get alert whenever the conditions are met. The script is configured on dialy TF; you can set it on 1D or weekly TF.
Enjoy and Trade smartly
Linear Regression Channel Screener [Daveatt]Hello traders
First and foremost, I want to extend a huge thank you to @LonesomeTheBlue for his exceptional Linear Regression Channel indicator that served as the foundation for this screener.
Original work can be found here:
Overview
This project demonstrates how to transform any open-source indicator into a powerful multi-asset screener.
The principles shown here can be applied to virtually any indicator you find interesting.
How to Transform an Indicator into a Screener
Step 1: Identify the Core Logic
First, identify the main calculations of the indicator.
In our case, it's the Linear Regression
Channel calculation:
get_channel(src, len) =>
mid = math.sum(src, len) / len
slope = ta.linreg(src, len, 0) - ta.linreg(src, len, 1)
intercept = mid - slope * math.floor(len / 2) + (1 - len % 2) / 2 * slope
endy = intercept + slope * (len - 1)
dev = 0.0
for x = 0 to len - 1 by 1
dev := dev + math.pow(src - (slope * (len - x) + intercept), 2)
dev
dev := math.sqrt(dev / len)
Step 2: Use request.security()
Pass the function to request.security() to analyze multiple assets:
= request.security(sym, timeframe.period, get_channel(src, len))
Step 3: Scale to Multiple Assets
PineScript allows up to 40 request.security() calls, letting you monitor up to 40 assets simultaneously.
Features of This Screener
The screener provides real-time trend detection for each monitored asset, giving you instant insights into market movements.
It displays each asset's position relative to its middle regression line, helping you understand price momentum.
The data is presented in a clean, organized table with color-coded trends for easy interpretation.
At its core, the screener performs trend detection based on regression slope calculations, clearly indicating whether an asset is in a bullish or bearish trend.
Each asset's price is tracked relative to its middle regression line, providing additional context about trend strength.
The color-coded visual feedback makes it easy to spot changes at a glance.
Built-in alerts notify you instantly when any asset experiences a trend change, ensuring you never miss important market moves.
Customization Tips
You can easily expand the screener by adding more symbols to the symbols array, adapting it to your watchlist.
The regression parameters can be adjusted to match your preferred trading timeframes and sensitivity.
The alert system is already configured to notify you of trend changes, but you can customize the alert messages and conditions to your needs.
Limitations
While powerful, the screener is bound by PineScript's limitation of 40 security calls, capping the maximum number of monitored assets.
Using AI to Help With Conversion
An interesting tip:
You can use AI tools to help convert single-asset indicators to screeners.
Simply provide the original code and ask for assistance in transforming it into a screener format. While the AI output might need some syntax adjustments, it can handle much of the heavy lifting in the conversion process.
Prompt (example) : " Please make a pinescript version 5 screener out of this indicator below or in attachment to scan 20 instruments "
I prefer Claude AI (Opus model) over ChatGPT for pinescript.
Conclusion
This screener transformation technique opens up endless possibilities for market analysis.
By following these steps, you can convert any indicator into a powerful multi-asset scanner, enhancing your trading toolkit significantly.
Remember: The power of a screener lies not just in monitoring multiple assets, but in applying consistent analysis across your entire watchlist in real-time.
Feel free to fork and modify this screener for your own needs.
Happy trading! 🚀📈
Daveatt
Bostian Intraday Intensity Index (BII)The Bostian Intraday Intensity Index (BII) is a metric used to analyze the trading volume and price movements of a specific stock or asset, measuring the strength and pressure of the market. BII captures buy and sell signals by examining the relationship between trading volume and price fluctuations. Below is an explanation of the key components and calculation method for BII:
○ BII Formula:
sum(V*((C-L)^2-(H-C)^2))/(H-L)))
V (Volume): Trading volume
C (Close): Closing price
L (Low): Lowest price
H (High): Highest price
○ Meaning of the Indicator:
Positive Values: When BII is positive, it indicates strong buying pressure. The closer the closing price is to the high, the stronger the buying pressure.
Negative Values: When BII is negative, it indicates strong selling pressure. The closer the closing price is to the low, the stronger the selling pressure.
○ How to Use:
Buy Signal: When the BII value is positive and trending upwards, it may be considered a buying opportunity.
Sell Signal: When the BII value is negative and trending downwards, it may be considered a selling opportunity.
The BII indicator is useful for analyzing the strength and pressure of the market through the correlation of price movements and trading volume. It helps investors capture buy and sell signals to make better investment decisions.
Pi Cycle Bitcoin Top and Bottom (Daily)Pi Cycle Bitcoin Top and Bottom (Daily)
This indicator combines the renowned Pi Cycle Top and Pi Cycle Bottom indicators into one comprehensive tool designed to identify Bitcoin's market cycle tops and bottoms with precision.
Pi Cycle Top
The Pi Cycle Top indicator uses the 111-day moving average (111DMA) and a multiple of the 350-day moving average (350DMA x 2). Historically, this indicator has identified Bitcoin’s price cycle peaks with an accuracy of up to 3 days.
📈 When the 111DMA crosses above the 350DMA x 2, it signals a market cycle top.
Pi Cycle Bottom
The Pi Cycle Bottom indicator utilizes the 150-day exponential moving average (150EMA) and a multiple of the 471-day simple moving average (471SMA x 0.745). Over past cycles, this combination has effectively pinpointed Bitcoin’s market bottoms with the same level of accuracy.
📉 When the 150EMA crosses below the 471SMA x 0.745, it signals a market cycle bottom.
Parabola
As an additional feature, the indicator identifies moments when the 150EMA crosses back above the 471SMA x 0.745, suggesting a potential parabolic price movement.
Features
Precision: Both indicators have historically aligned with major market turning points.
Customizable settings: Adjust the short and long moving averages to fit your analysis needs.
Alerts: Real-time alerts can be enabled for identifying market tops and bottoms.
Clear visualization: Optional moving average lines and signal markers make it easy to track market trends.
Full credits to Philip Swift, PositiveCrypto, Tondy, BilzerianCandle.
Trend Flow Line (TFL)The Trend Flow Line (TFL) is a versatile moving average indicator that dynamically adjusts to trends using a combination of Hull and Weighted Moving Averages, with optional color coding for bullish and bearish trends.
Introduction
The Trend Flow Line (TFL) is a powerful indicator designed to help traders identify and follow market trends with precision. It combines multiple moving average techniques to create a responsive yet smooth trendline. Whether you're a beginner or an experienced trader, the TFL can enhance your chart analysis by highlighting key price movements and trends.
Detailed Description
The Trend Flow Line (TFL) goes beyond traditional moving averages by leveraging a hybrid approach to calculate trends.
Here's how it works:
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Combination of Hull and Weighted Moving Averages
The TFL integrates the Hull Moving Average (HMA), known for its fast responsiveness, and the Double Weighted Moving Average (DWMA), which offers smooth transitions.
The HMA is adjusted dynamically based on the user-defined length, ensuring adaptability to various trading styles and timeframes.
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Dynamic Smoothing
The TFL calculates its value by averaging the HMA and DWMA, creating a balanced line that responds to market fluctuations without excessive noise.
This balance makes it ideal for identifying both short-term reversals and long-term trends.
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Customizable Features
Timeframe: Analyze the indicator on custom timeframes, independent of the chart's current timeframe.
Color Coding: Optional color settings visually differentiate bullish (uptrend) and bearish (downtrend) phases.
Line Width: Adjust the line thickness to suit your chart preferences.
Color Smoothness: Fine-tune how quickly the color changes to reflect trend shifts, providing a visual cue for potential reversals.
The TFL's algorithm ensures a blend of precision and adaptability, making it suitable for any market or trading strategy.
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The Trend Flow Line (TFL) is an essential tool for traders looking to stay ahead of market trends while maintaining a clear and visually intuitive charting experience. It combines HMA and DWMA for trend sensitivity and smoothness.
Double Top/Bottom [AlgoAlpha]Introducing the Double Top/Bottom Indicator by AlgoAlpha, a powerful tool designed to identify key reversal patterns in the market with precision. This indicator meticulously detects double tops and double bottoms, helping traders recognize potential trend reversals and make informed trading decisions.
Key Features:
🔍 Pattern Detection : Accurately identifies double top and double bottom formations based on customizable time horizons.
🎨 Customizable Appearance : Choose your preferred colors for bullish and bearish trends to match your trading style.
📊 Signal Labels : Option to display only the second pivot of the double top/bottom for a cleaner chart view.
🔧 Flexible Settings : Adjust the time horizon to control the look-back period, allowing for detection of both short-term and long-term patterns.
📈 Visual Enhancements : Draws trend lines and fills between pivotal points to visually highlight potential reversal zones.
🔔 Alerts : Set up alerts for potential double top and double bottom formations to stay informed of key market movements.
How to Use the Double Top/Bottom Indicator :
🛠 Add the Indicator : Simply add the Double Top/Bottom Indicator to your TradingView chart from your favorites. Customize the time horizon and appearance settings to fit your trading preferences.
📊 Analyze Patterns : Watch for the identified double top and double bottom patterns along with the corresponding trend lines and filled areas to anticipate potential market reversals.
🔔 Set Alerts : Enable alerts to receive notifications when double top or double bottom patterns are detected, ensuring you never miss a critical trading opportunity.
How It Works : The indicator scans the price action for pivot highs and lows within a specified time horizon, identifying potential double top and double bottom patterns. It maintains a sequence of these pivots and verifies the formation of these patterns based on the relationship between consecutive pivots and the proximity to a defined limit. When a double top or double bottom is confirmed, the indicator marks the second pivot point with a label and draws trend lines to visualize the reversal pattern. Additionally, it provides alert conditions to notify traders of potential confirmations, enhancing decision-making without cluttering the chart.
⚠️ Important Reminder : The labels indicating double tops and bottoms appear with a delay and are intended to mark the formations after they have already formed. They are not meant to be used as real-time trading signals. While they align perfectly with pivot points in hindsight, please use them as markers for analysis rather than immediate trading triggers.
Daily PlayDaily Play Indicator
The Daily Play Indicator is a clean and versatile tool designed to help traders organize and execute their daily trading plan directly on their charts. This indicator simplifies your workflow by visually displaying key inputs like market trend, directional bias, and key levels, making it easier to focus on your trading strategy.
Features
Dropdown Selection for Trend and Bias:
• Set the overall market trend (Bullish, Bearish, or Neutral) and your directional bias (Long, Short, or Neutral) using intuitive dropdown menus. No more manual typing or guesswork!
Key Levels:
Quickly input and display the Previous Day High and Previous Day Low. These levels are essential for many trading strategies, such as breakouts.
Real-Time News Notes:
Add a quick note about impactful news or market events (e.g., “Fed meeting today” or “Earnings season”) to keep contextual awareness while trading.
Simple On-Chart Display:
The indicator creates a “table-like” structure on the chart, aligning your inputs in an easy-to-read format. The data is positioned dynamically so it doesn’t obstruct the price action.
Customisable Visual Style:
Simple labels with clear text to ensure that your chart remains neat and tidy.
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Use Case
The Daily Play Indicator is ideal for:
• Day traders and scalpers who rely on precise planning and real-time execution.
• Swing traders looking to mark critical levels and develop a trade plan before the session begins.
• Anyone who needs a structured way to stay focused and disciplined during volatile market conditions.
By integrating this tool into your workflow, you can easily align your daily preparation with live market action.
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How to Use
Open the indicator settings to configure your inputs:
• Trend: Use the dropdown to choose between Bullish, Bearish, or Neutral.
• Bias: Select Long, Short, or Neutral to align your personal bias with the market.
• Previous Day Levels: Enter the High and Low of the previous trading session for key reference points.
• News: Add a short description of any relevant market-moving events.
Accumulation Momentum IndicatorEveryone wants to be in a trend, I think this indicator does a great job at showing that key momentum that traders try and capitalize on everyday. I used a Stochastic Momentum Indicator (SMI) indicator. It's a lot like a slower MACD which allows me to capitalize on changing momentum. My goal was to make an indicator that was able to use a weighted mean of many accumulation/momentum indicators. This would give me a well rounded look to really see what direction the momentum and volume is heading.
I did some research on some of the best Accumulation and Momentum Indicators. I landed on 4.
The Accumulation Distribution line which measures the cumulative flow of money in or out of a security. It helps show how quickly money is going in and out of a commodity. The line moving up quickly indicates fast Accumulation while the A/C line is moving down quickly is shows falling Distribution. This can show the momentum and accumulation of a commodity in short and long term based off of Volume.
The On Balance Volume, OBV is a combination of Price Movement and Volume. If price closes higher then the previous bar volume is added while if the price closes lower volume is subtracted. This gives us an overall tally of whether volume is increasing with price or slowing down the momentum in the direction of the current trend. This gives us the ability to see if volume is supporting the price increasing (beginning/middle of a trend) or price is slowing down even though it is still heading in the direction of the current trend (signaling the end of the current trend).
The Force Index, this indicator measures the overall strength of the price movements. It does this by a calculation of price and volume. The close of the current bar subtracted by the previous multiplied by the volume. The result gives us either strong upward or downward motion. This adds magnitude to the overall movement/momentum of the indicator.
Lastly but most certainly not least is the Momentum indicator, (Price Momentum) a simple indicator that shows you the difference between the current close price and the close price from a specified period ago (Most commonly 14 periods/bars ago). Having this indicator is a must because it shows the speed at which price is accelerating or decelerating.
These 4 indicators together help round out the current volume, price movements, accumulation, and momentum of the current market. Since these indicators all have different scales and calculations I had to Normalize the Values to a 0-100 scale. This gives us 1 line and a much more readable easy to understand indicator. After they were normalized I gave them a weighted average that you can control. So lets say you cared more about the Force Index and the OBV rather then the Momentum and the Accumulation Distribution indicators, you would be able to give them more weight in the overall calculation as well as 0 out those you don't even want involved.
I hope the flexibility and the combination of 4 strong Accumulation Momentum indicators helps you better gauge the direction a commodity might head. The way it's used is when the Accumulation Momentum line is Above 50 buying pressure is stronger then selling pressure. An Accumulation Momentum line Below 50 suggests that distribution is more dominant in the current market. This indicator combines four different methods of analyzing price and volume to give you a single composite momentum score, making it easier to visualize when a commodity is being accumulated or distributed and how quickly this process is happening. It helps you track market sentiment based on both price movement and volume, with a clear, visual representation of buying and selling pressure.
Please let me know what you think and how you think I might be able to improve the script. Enjoy!
