Stage AnalysisStage Analysis was created by Stan Weinstein, and helps traders to identify where a stock/etf/index is in its Price Cycle.
The Price Cycle was introduced by Richard D. Wyckoff in the early 1900s, where he noted that stocks repeatedly go through a cycle of Accumulation, Markup, Distribution and Markdown. Stan Weinstein’s Stage Analysis method modified the Wyckoff Price Cycle, and converted it into four stages, which are:
Stage 1 = Accumulation
Stage 2 = Markup
Stage 3 = Distribution
Stage 4 = Markdown
Stage Analysis indicator:
Stan Weinstein had different definitions for the four stages – Stage 1: The Basing Area, Stage 2: The Advancing Phase, Stage 3: The Top Area, Stage 4: The Declining Phase. But for the purposes of the Stage Analysis indicator, you’ll note that we’ve combined Stage 1 and Stage 3, as they share numerous technical characteristics, and in our opinion, still require some discretionary judgement to determine whether they are showing accumulation or distribution characteristics.
So, we believe that neutral better describes them from a purely technical aspect, as being in Stage 3 doesn’t necessarily mean the top area, as it can still make a Stage 2 continuation breakout to new highs, instead of breaking down into Stage 4. Just as a Stage 1 basing pattern, can still make a further Stage 4 continuation breakdown, and won’t necessarily breakout into a Stage 2 advance. Hence, we display both Stage 1 and Stage 3 as Neutral, to help remove the perceived bias associated with Stage 3 and Stage 1.
So, in the indicator the Stages are displayed as three different colored backgrounds:
Blue = Stage 1 / Stage 3: Neutral
Green = Stage 2: Uptrend
Red = Stage 4: Downtrend
Stage 1 / Stage 3: Neutral (Blue background)
Stage 1 shows signs of a potential accumulation base structure developing and begins with a close above the 30-week simple moving average, when the stock is still below its (usually declining) 40-week MA as well, following a Stage 4 downtrend, and then remains in Stage 1 until either it breaks out into a Stage 2 uptrend, or returns to a Stage 4 downtrend once more. Although, there are often multiple failed breakout and breakdown attempts, which change the Stage briefly to Stage 2 or Stage 4, before reverting back into Stage 1, as the base broadens out.
The initial move into Stage 1 can occur in numerous different ways. Sometimes following a powerful rebound rally from the 52-week lows to above the 30-week MA, and at other times, after a basing period first, while the stock is still in Stage 4, and then only briefly moving into Stage 1, before breaking out into a new Stage 2 uptrend. But with all ways, there is a notable Change of Character compared to the previous Stage 4 downtrend, as supply and demand moves towards equilibrium, and the stock starts to build a more significant sideways range/base structure.
Stage 3 is the exact opposite of Stage 1, and instead of accumulation. Signs of distribution begin to appear when a stock is getting later in a Stage 2 Uptrend, with the stock first closing below its 30-week MA, and then starting to build a more significant sideways range/base structure, than the minor structures that formed when it was still trending higher in Stage 2.
It begins with a change of behaviour (i.e. a bigger correction than seen during the rest of Stage 2, that takes it below its 30-week, but still above its (usually rising) 40-week MA, and then that often broadens out into a sideways structure, with multiple swings above and below the 30-week MA, with tests of the highs and lows of the developing structure. Which can see it briefly revert to Stage 2, with failed breakout attempts at the highs (Upthrusts), or Stage 4, with failed breakdown attempts at the lows of the structure (Shakeouts or Springs).
So, Stage 1 and Stage 3 are both more neutral periods between the Stage 2 (Uptrend) and Stage 4 (Downtrend).
Stage 2: Uptrend (Green Background)
Stage 2 is the most important Stage for traders looking to buy stocks with the Stage Analysis method, and begins with a breakout from the prior Stage 1 base, but can also occur more suddenly from a V-bottom pattern or earnings gaps. In which case, it will move directly from a Stage 4 downtrend into a Stage 2 uptrend.
The move to Stage 2 requires certain technical aspects to be present, including a close above its near-term range (we use a 13-week range based on weekly closes), as well as its 200-day MA (40-week MA), and for our proprietary Stage Analysis Technical Attributes (SATA)* score to be at a least a SATA 6 of 10. And so, the change from Stage 1 to Stage 2 will often occur while the stock is still within a “broader” base structure, as the quarterly range is continually shifting, and doesn’t consider technical levels prior to that period.
The breakout point as Stage 2 begins is the Stage Analysis methods favoured entry zone for investors, as it marks the change from the Stage 1 basing period into the more dynamic Stage 2 uptrend (chart changes to green)
A secondary investor entry point can often form soon after the Stage 2 breakout, as the momentum fades from the initial rally, and it pulls back towards the breakout level, before finding support and swinging back higher into the advancing phase. So, the Stage Analysis indicator can be used to determine this secondary entry point by dropping down to an intraday timeframe – such as the 30-minute chart, and waiting for a Stage 2 breakout attempt on that much shorter timescale.
The Trader method entry points also form during the Stage 2 advance, and occur at the Stage 2 continuation breakout points of the more minor re-accumulation bases that form as the Stage 2 advance progresses higher.
Stage 4: Downtrend (Red Background)
Stage 4 is the opposite of Stage 2, and marks the beginning of a potential downtrend, as the distributional forces from Stage 3 gain control, and the stock attempts to move lower.
Stage 4 is the most important Stage for traders looking to short stocks with the Stage Analysis method, and as with Stage 2, it can also begin more suddenly following a sudden sharp decline or an earnings gap lower etc, that knifes through the key MAs and quarterly range.
The move to Stage 4 also requires certain technical aspects to be present, including a close below its near-term range (we use a 13-week range based on weekly closes), as well as its 200-day MA (40-week MA), and for our proprietary Stage Analysis Technical Attributes (SATA) score to be a maximum of a SATA 3 of 10, as if the SATA score is higher than 3, then it will still be considered as Stage 3 (blue) until that drops to a SATA 3 or lower.
The initial short entry point in Stage 4 occurs at the breakdown from Stage 3 to Stage 4 (chart changes to red), and as with Stage 2, a secondary entry point can form, but in Stage 4 it is on a potential pullback towards the breakdown level that then reverses lower once more. So, the Stage Analysis indicator can be used to determine this secondary entry point by dropping down to an intraday timeframe – such as the 30-minute chart, and waiting for a Stage 4 breakdown attempt on that much shorter timescale.
The Trader method short entry points also form during the Stage 4 decline, and occur at the Stage 4 continuation breakdown points of the more minor re-distribution bases that form as the Stage 4 decline progresses lower.
Recommended Chart Setup:
Weekly
Logarithmic scale
Recommended Indicators:
10 – Simple Moving Average
30 – Simple Moving Average
40 – Simple Moving Average (optional)
Mansfield Relative Strength (Original Version) (optional)
Stage Analysis Technical Attributes (SATA) (optional)
The Stages are intended to be used on the Weekly timeframe with a Logarithmic scale primarily, with a 10-week MA, 30-week MA and 40-week MA. But Stage Analysis can be used across multiple timeframes. So, for shorter-term swing traders, the 195-min (2bars/day), 2-hour, 1-hour, 30-min charts etc are often used with the same relative chart settings. But note that the lower the timeframe, the more noise that you’ll get, so you should always refer back to the weekly Stage to trade with the major trend.
Customise the Stage Analysis indicator
Edit colours of the Stages
Show/Hide Stages
Reference:
*Stage Analysis Technical Attributes (SATA)
The Stage Analysis Technical Attributes (SATA) scoring system is our proprietary tool which measures 10 of the key components that we look for in the Stage Analysis method to help to determine the Stage, and is made up of the following components:
Breakouts and Breakdowns
Price / Moving Averages
Relative Strength versus the S&P 500
Momentum
Volume
Overhead Resistance
Combining the SATA score with the price elements described in the Stages descriptions above, provides a Stage Analysis indicator that is faithful to Stan Weinstein's Stage Analysis method, and truly unique from other more simplistic automated versions of the Stages that you might find elsewhere.
Disclaimer: This indicator is for informational and educational purposes only. We accept no liability for any loss which may arise from the use of this indicator. All trading decisions are your own, and should be researched thoroughly, with appropriate risk management in place.
We are not affiliated with Stan Weinstein, and this is our own unique interpretation of the Stage Analysis method, based on our long experience with it.
Phân tích Xu hướng
Fibonacci Snap Tool [TradersPro]
OVERVIEW
The Fibonacci Snap tool automatically snaps to the swing high and swing low of the price data shown on the chart display. Fibonacci retracement levels can be used for entry, exit, or as a confirmation of trend continuation.
If the swing high on the chart comes before the swing low, the price is in a downtrend.If the swing high comes after the swing low, the price is in an uptrend.
We call the 23.60% Fibonacci level the momentum zone of the trend. Price in a solid trend, either up or down, will typically hold the 23.60% Fibonacci level as support (demand) in an uptrend or resistance (supply) in a downtrend.
Deeper Fibonacci levels of 38.20%, 50.00%, and 61.80% are corrective supply/demand zones. As price moves against the found trend, it can move into this range block we call the corrective zone.
Fibonacci retracement levels are used to identify potential supply/demand areas where price could reverse or consolidate. These levels are based on key ratios derived from the Fibonacci sequence, and we only use the core 23.60%, 38.20%, 50.00%, and 61.80% ratios.
CONCEPTS
Price action moves in trend cycles, these retracement levels help traders measure proportional relationships between the high/low swings in the price trend.
When a price trend is moving against the trend, traders can find opportunities to trade with the current trend at key Fibonacci levels. Fibonacci levels can be used to anticipate where price might find supply/demand imbalance and continue moving in the trend direction.
Traders apply the indicator by selecting a window of price they want to analyze in the chart display, and the Fibonacci Snap tool will snap to the high and low of the visible price display.
The Intent and Use of This Tool
The 23.60% level acts as a momentum or continuation of trend. The 38.20% to 61.80% range are corrective zones of the trend.
The 61.80% level, also known as the golden ratio (Google the term “Golden Ratio”; it's fun), can often represent the location of supply/demand imbalance.
In an uptrend, it can represent the area of no more selling supply, and the balance can shift to buying demand. In a downtrend, it can represent the area of no more buying demand and the balance can shift to selling supply.
When used with the Momentum Zones indicator, these two tools create a powerful combination for traders to find, implement, and manage trades.
Trend AnalyzerThe Trend Analyzer is designed to help traders identify and analyze market trends. Here's a simple explanation of its logic:
Main Features
Customizable Moving Average: The indicator plots a moving average on the chart. Users can choose from various types (SMA, EMA, WMA, VWMA, HMA, SMMA, TMA) and set the period. This flexibility allows traders to adapt the indicator to different trading styles and timeframes.
Trend Detection: It determines whether the current price is above or below the moving average, providing a clear visual representation of the current trend direction.
Sequence Counter: The indicator counts consecutive candles above or below the moving average. This feature helps traders identify trend strength and persistence, which can be crucial for timing entries and exits.
Statistical Analysis: It calculates probabilities for the next candle's direction based on historical data. This unique feature gives traders a statistical edge in predicting short-term price movements.
Visual Candle Counter: An optional feature that displays the number of consecutive candles above or below the moving average directly on the chart, enhancing visual analysis.
How It Works
The indicator continuously tracks the position of price relative to the chosen moving average.
It maintains a count of how many candles in a row have been above or below the moving average.
For each sequence length, it records historical data on how often the trend continued or reversed in the past.
This historical data is used to calculate probabilities for the next candle's direction, providing a statistical insight into potential price movements.
The indicator displays this information directly on the chart, allowing for quick and easy interpretation.
Practical Applications
Trend Confirmation: Use the indicator to confirm the strength and direction of current trends.
Entry and Exit Signals: The sequence counter and probability calculations can help in timing trades more effectively.
Risk Management: Understanding the statistical likelihood of trend continuation can aid in setting appropriate stop-loss and take-profit levels.
Market Analysis: The indicator provides valuable insights into market behavior and can be used for both short-term and long-term analysis.
While the Trend Analyzer provides valuable insights based on historical data and statistical analysis, it's important to remember that past performance does not guarantee future results. The financial markets are complex and influenced by numerous factors. This indicator should be used as part of a comprehensive trading strategy and not as a sole decision-making tool. Always practice proper risk management and consider seeking advice from financial professionals before making investment decisions.
DTS- Dynamic Trend SignalDynamic Trend Signal
The Dynamic Trend Signal indicator is a powerful and highly customizable tool designed for traders who want clear and actionable signals to guide their trading decisions. This indicator leverages the relationship between two moving averages and the current price to provide concise buy/sell recommendations while visually enhancing your chart with professional-grade features.
Key Features:
Actionable Trading Signals:
STRONG BUY / NO SELL: When the price is above both moving averages.
BUY / NO SELL: When the price is above the longer moving average but below the shorter moving average.
NO BUY / SELL: When the price is below the longer moving average but above the shorter moving average.
STRONG SELL / NO BUY: When the price is below both moving averages.
Dynamic Signal Table:
Displays real-time trading signals in a convenient table format.
Automatically updates based on market conditions.
Customizable table position (top-left, top-right, bottom-left, or bottom-right).
Dynamic background and text colors for improved visibility:
Green shades for bullish signals.
Red shades for bearish signals.
Customizable Moving Averages:
Configure each moving average independently:
Choose between Simple Moving Average (SMA) and Exponential Moving Average (EMA).
Set unique lengths, colors, and line thickness for each average.
Default settings:
MA1: Short-term (8-period) with thickness 1.
MA2: Long-term (20-period) with thickness 2.
Optional Crossover Alerts:
Visual and textual alerts for moving average crossovers:
BUY: When the shorter moving average crosses above the longer moving average.
SELL: When the shorter moving average crosses below the longer moving average.
Crossover alerts are disabled by default but can be easily enabled in settings.
Ease of Use:
Intuitive interface with clean and professional visuals.
Fully customizable to fit any trading strategy or chart style.
How It Helps Traders:
The Dynamic Trend Signal simplifies market analysis by removing guesswork and focusing on clear, data-driven signals. Whether you're a beginner looking for straightforward guidance or an experienced trader seeking to enhance your strategy, this indicator provides:
Confidence in decision-making with clear buy/sell signals.
Customization to align with your unique trading approach.
Clarity through visually appealing, color-coded signals and alerts.
Ideal For:
Swing Traders
Day Traders
Trend Followers
Traders looking to integrate a dynamic, rule-based approach to their analysis.
How to Use:
Add the Dynamic Trend Signal indicator to your chart.
Adjust the moving average lengths, types, colors, and thickness to suit your trading strategy.
Monitor the signal table for actionable recommendations.
Optionally enable crossover alerts for real-time buy/sell notifications.
Unlock the power of clear and actionable trading signals with the Dynamic Trend Signal! Add it to your TradingView chart today and take your trading strategy to the next level.
Dynamic RSI with Overbought/Oversold LinesDynamic RSI with Overbought/Oversold Lines
This indicator enhances the traditional RSI (Relative Strength Index) by dynamically adjusting the overbought and oversold levels based on the highest and lowest RSI values over a user-defined period. The indicator plots these levels as horizontal lines, allowing traders to visually identify when the market is "overbought" or "oversold."
Features:
Dynamic Overbought/Oversold Levels: Automatically adjusts the overbought and oversold levels based on the highest and lowest RSI values within the defined period, ensuring more accurate signals tailored to the current market conditions.
Customizable RSI Period: Choose your preferred RSI period to suit your trading strategy.
Signal Alerts: Visual signals are displayed when the RSI crosses into the overbought or oversold zone, indicating potential reversal points.
Background Color Alerts: The background changes color when the RSI exceeds overbought or oversold levels, making it easier to spot these important zones at a glance.
Clean and Simple: A minimalist design focusing on the key elements, making it suitable for all traders.
How to Use:
Overbought Zone: When the RSI moves above the overbought line (red), it may indicate that the asset is overbought, signaling a potential price reversal or pullback.
Oversold Zone: When the RSI moves below the oversold line (green), it may indicate that the asset is oversold, signaling a potential price bounce or reversal.
This dynamic RSI indicator is perfect for those looking to capture market extremes and improve their trading decisions. It's especially useful for timeframes like 30-minute and 1-hour charts, where market conditions tend to shift more rapidly.
ADM Indicator [CHE] Comprehensive Description of the Three Market Phases for TradingView
Introduction
Financial markets often exhibit patterns that reflect the collective behavior of participants. Recognizing these patterns can provide traders with valuable insights into potential future price movements. The ADM Indicator is designed to help traders identify and capitalize on these patterns by detecting three primary market phases:
1. Accumulation Phase
2. Manipulation Phase
3. Distribution Phase
This indicator places labels on the chart to signify these phases, aiding traders in making informed decisions. Below is an in-depth explanation of each phase, including how the ADM Indicator detects them.
1. Accumulation Phase
Definition
The Accumulation Phase is a period where informed investors or institutions discreetly purchase assets before a potential price increase. During this phase, the price typically moves within a confined range between established highs and lows.
Characteristics
- Price Range Bound: The asset's price stays within the previous high and low after a timeframe change.
- Low Volatility: Minimal price movement indicates a balance between buyers and sellers.
- Steady Volume: Trading volume may remain relatively constant or show slight increases.
- Market Sentiment: General market interest is low, as the accumulation is not yet apparent to the broader market.
Detection with ADM Indicator
- Criteria: An accumulation is detected when the price remains within the previous high and low after a timeframe change.
- Indicator Action: At the end of the period, if accumulation has occurred, the indicator places a label "Accumulation" on the chart.
- Visual Cues: A yellow semi-transparent background highlights the accumulation phase, enhancing visual recognition.
Implications for Traders
- Entry Opportunity: Consider preparing for potential long positions before a possible upward move.
- Risk Management: Use tight stop-loss orders below the support level due to the defined trading range.
2. Manipulation Phase
Definition
The Manipulation Phase, also known as the Shakeout Phase, occurs when dominant market players intentionally move the price to trigger stop-loss orders and create panic among less-informed traders. This action generates liquidity and better entry prices for large positions.
Characteristics
- False Breakouts: The price moves above the previous high or below the previous low but quickly reverses.
- Increased Volatility: Sharp price movements occur without fundamental reasons.
- Stop-Loss Hunting: The price targets common stop-loss areas, triggering them before reversing.
- Emotional Trading: Retail traders may react impulsively, leading to poor trading decisions.
Detection with ADM Indicator
- Manipulation Up:
- Criteria: Detected when the price rises above the previous high and then falls back below it.
- Indicator Action: Places a label "Manipulation Up" on the chart at the point of detection.
- Manipulation Down:
- Criteria: Detected when the price falls below the previous low and then rises back above it.
- Indicator Action: Places a label "Manipulation Down" on the chart at the point of detection.
- Visual Cues:
- Manipulation Up: Blue background highlights the phase.
- Manipulation Down: Orange background highlights the phase.
Implications for Traders
- Caution Advised: Be wary of false signals and avoid overreacting to sudden price changes.
- Preparation for Next Phase: Use this phase to anticipate potential distribution and adjust strategies accordingly.
3. Distribution Phase
Definition
The Distribution Phase occurs when the institutions or informed investors who accumulated positions start selling to the general market at higher prices. This phase often follows a Manipulation Phase and may signal an impending trend reversal.
Characteristics
- Price Reversal: The price moves in the opposite direction of the prior manipulation.
- High Trading Volume: Increased selling activity as large players offload positions.
- Trend Weakening: The previous trend loses momentum, indicating a potential shift.
- Market Sentiment Shift: Optimism fades, and uncertainty or pessimism may emerge.
Detection with ADM Indicator
- Distribution Up:
- Criteria: Detected after a verified Manipulation Up when the price subsequently falls below the previous low.
- Indicator Action: Places a label "Distribution Up" on the chart.
- Distribution Down:
- Criteria: Detected after a verified Manipulation Down when the price subsequently rises above the previous high.
- Indicator Action: Places a label "Distribution Down" on the chart.
- Visual Cues:
- Distribution Up: Purple background highlights the phase.
- Distribution Down: Maroon background highlights the phase.
Implications for Traders
- Exit Signals: Consider closing long positions if in a Distribution Up phase.
- Short Selling Opportunities: Potential to enter short positions anticipating a downtrend.
Using the ADM Indicator on TradingView
Indicator Overview
The ADM Indicator automates the detection of Accumulation, Manipulation, and Distribution phases by analyzing price movements relative to previous highs and lows on a selected timeframe. It provides visual cues and labels on the chart, helping traders quickly identify the current market phase.
Features
- Multi-Timeframe Analysis: Choose from auto, multiplier, or manual timeframe settings.
- Visual Labels: Clear labeling of market phases directly on the chart.
- Background Highlighting: Distinct background colors for each phase.
- Customizable Settings: Adjust colors, styles, and display options.
- Period Separators: Optional separators delineate different timeframes.
Interpreting the Indicator
1. Accumulation Phase
- Detection: Price stays within the previous high and low after a timeframe change.
- Label: "Accumulation" placed at the period's end if detected.
- Background: Yellow semi-transparent color.
- Action: Prepare for potential long positions.
2. Manipulation Phase
- Detection:
- Manipulation Up: Price rises above previous high and then falls back below.
- Manipulation Down: Price falls below previous low and then rises back above.
- Labels: "Manipulation Up" or "Manipulation Down" placed at detection.
- Background:
- Manipulation Up: Blue color.
- Manipulation Down: Orange color.
- Action: Exercise caution; avoid impulsive trades.
3. Distribution Phase
- Detection:
- Distribution Up: After a Manipulation Up, price falls below previous low.
- Distribution Down: After a Manipulation Down, price rises above previous high.
- Labels: "Distribution Up" or "Distribution Down" placed at detection.
- Background:
- Distribution Up: Purple color.
- Distribution Down: Maroon color.
- Action: Consider exiting positions or entering counter-trend trades.
Configuring the Indicator
- Timeframe Type: Select Auto, Multiplier, or Manual for analysis timeframe.
- Multiplier: Set a custom multiplier when using "Multiplier" type.
- Manual Resolution: Define a specific timeframe with "Manual" option.
- Separator Settings: Customize period separators for visual clarity.
- Label Display Options: Choose to display all labels or only the most recent.
- Visualization Settings: Adjust colors and styles for personal preference.
Practical Tips
- Combine with Other Analysis Tools: Use alongside volume indicators, trend lines, or other technical tools.
- Backtesting: Review historical data to understand how the indicator signals would have impacted past trades.
- Stay Informed: Keep abreast of market news that might affect price movements beyond technical analysis.
- Risk Management: Always employ stop-loss orders and position sizing strategies.
Conclusion
The ADM Indicator is a valuable tool for traders seeking to understand and leverage market phases. By detecting Accumulation, Manipulation, and Distribution phases through specific price action criteria, it provides actionable insights into market dynamics.
Understanding the precise conditions under which each phase is detected empowers traders to make more informed decisions. Whether preparing for potential breakouts during accumulation, exercising caution during manipulation, or adjusting positions during distribution, the ADM Indicator aids in navigating the complexities of the financial markets.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
This indicator is inspired by the Super 6x Indicators: RSI, MACD, Stochastic, Loxxer, CCI, and Velocity . A special thanks to Loxx for their relentless effort, creativity, and contributions to the TradingView community, which served as a foundation for this work.
Best regards Chervolino
Overview of the Timeframe Levels in the `autotimeframe()` Function
The `autotimeframe()` function automatically adjusts the higher timeframe based on the current chart timeframe. Here are the specific timeframe levels used in the function:
- Current Timeframe ≤ 1 Minute
→ Higher Timeframe: 240 Minutes (4 Hours)
- Current Timeframe ≤ 5 Minutes
→ Higher Timeframe: 1 Day
- Current Timeframe ≤ 1 Hour
→ Higher Timeframe: 3 Days
- Current Timeframe ≤ 4 Hours
→ Higher Timeframe: 7 Days
- Current Timeframe ≤ 12 Hours
→ Higher Timeframe: 1 Month
- Current Timeframe ≤ 1 Day
→ Higher Timeframe: 3 Months
- Current Timeframe ≤ 7 Days
→ Higher Timeframe: 6 Months
- For All Higher Timeframes (over 7 Days)
→ Higher Timeframe: 12 Months
Summary:
The function assigns a corresponding higher timeframe based on the current timeframe to optimize the analysis:
- 1 Minute or Less → 4 Hours
- Up to 5 Minutes → 1 Day
- Up to 1 Hour → 3 Days
- Up to 4 Hours → 7 Days
- Up to 12 Hours → 1 Month
- Up to 1 Day → 3 Months
- Up to 7 Days → 6 Months
- Over 7 Days → 12 Months
This automated adjustment ensures that the indicator works effectively across different chart timeframes without requiring manual changes.
Volume Index (0-100)Volume Index (0-100) Indicator
The Volume Index (0-100) indicator is a powerful tool designed to help traders understand current volume levels in relation to past activity over a specified period. By normalizing volume data to a scale from 0 to 100, this indicator makes it easy to compare today's volume against recent history and gauge the strength of market movements.
Key Features:
Normalized Volume Index: The indicator indexes volume between 0 and 100, allowing traders to easily determine if the current volume is unusually high or low compared to recent trends.
Colored Visualization: The line graph is colored green for positive volume (increasing activity) and red for negative volume (decreasing activity). This helps traders quickly grasp the market sentiment and volume direction.
User-Defined Lookback Period: Traders can customize the lookback period to best fit their trading strategy, providing flexibility for different market conditions.
How Traders Can Use It:
Identifying Volume Extremes: The Volume Index helps identify periods of unusually high or low volume. Values approaching 100 indicate high volume, while values close to 0 indicate low volume.
Confirmation Tool: During price movements, high volume (near 100) can act as a confirmation signal for the strength of the trend. For instance, a high volume during an uptrend may indicate strong buying interest.
Divergence Analysis: Traders can look for divergences between volume and price. For example, if the price is consolidating while the Volume Index remains high, it could signal an impending breakout.
Volume Alerts: The indicator includes an alert feature when the Volume Index exceeds 80, helping traders stay informed about potential shifts in market volatility.
Rado Ichi Alerts v1.2This indicator is based on the “Ichimuko Cloud” indicator, but in addition, it can display signals in graphs and can also send you an alert for each signal.
Indeed, this script uses the open-source Ichimoku Cloud standard. However, the additional features I've implemented, such as the display of different signals (e. g : Cross (+) “First signal” to warn about BUY or SELL opportunities that could arise, Diamond (◊) “Second signal” to warn about BUY or SELL preparation and Triangle UP(▲) or DOWN (▼) “Third and last signal” for BUY or SELL NOW action) as well as the ability to configure ALERTS related to these signals are not included in the standard Ichimoku Cloud script and are also not reproduced by the Ichimuko Cloud script.
The logic behind these signals is based on a customized Ichimoku strategy that we've been able to develop over a long period of back-testing.
What makes this script unique and original is its capacity to display signals and at the same time send alerts for each signal. This can help traders to not sit in front of their screens all the time and only take action when the third signal appears with an alert. Then, traders visually check whether the signal is valid in relation to the strategy before placing a trade.
This is the reason why I put my script in Closed-source.
Types of Signals and Alerts: (See also the chart for more explanation)
1) Cross (+): This means that an opportunity arises when it appears (BUY or SELL). The alert associated with this signal is the “1st Alert”, which you can view and configure in the alerts dialog box during its creation. Default message for this alert: “Ichi_Opportunity_(BUY or SELL) ”.
2) Diamond (◊): This means you should get ready to (BUY or SELL). Normally, this signal appears after the Cross (+) but it can appear at the same time as the Cross (+).The alert associated with this signal is the “2nd Alert” which you can see and configure in the alerts dialog box during its creation. Default message for this alert: “Ichi_Prepare_to_(BUY or SELL) ”.
3) Rectangle Up or Down (▲ / ▼): This means you should (BUY or SELL) now. Normally, this signal appears after the Diamond (◊) but it can appear at the same time as the Diamond (◊). The alert associated with this signal is the “3rd Alert”, which you can view and configure in the alerts dialog box during its creation. Default message for this alert: “Ichi_(BUY or SELL)_NOW ”.
Alerts can be configured for BUY or SELL only, depending on your needs (and the bias you've chosen). Alert messages can also be customized.
You can also choose the alerts that interest you, (e.g. 2nd Alert only so you can prepare, or 3rd Alert only if you only need to be alerted when you should take action to buy or sell). But you can combine all three alerts on a single chart.
CORRECTIVE :
- Correction to display missing signals (which are not displayed sometimes) on each step of the strategy.
IMPROVEMENTS :
- A new function has been added to the indicator dialog to change the reset time for the first two signals if they are not triggered within 10 bars (default value) after their last execution. This feature is necessary to better organize (visualize) the display of signals.
Ultra Market StructureThe Ultra Market Structure indicator detects key market structure breaks, such as Break of Structure (BoS) and Change of Character (CHoCH), to help identify trend reversals. It plots lines and labels on the chart to visualize these breakpoints with alerts for important signals.
Introduction
This script is designed to help traders visualize important market structure events, such as trend breaks and reversals, using concepts like Break of Structure (BoS) and Change of Character (CHoCH). The indicator highlights internal and external price levels where the market shifts direction. It offers clear visual signals and alerts to keep traders informed of potential changes in the market trend.
Detailed Description
The indicator focuses on detecting "market structure breaks," which occur when the price moves past significant support or resistance levels, suggesting a potential reversal or continuation of the trend.
.........
Type of structure
Internal Structure: Focuses on smaller, shorter-term price levels within the current market trend.
External Structure: Focuses on larger, longer-term price levels that may indicate more significant shifts in the market.
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Key events
Break of Structure (BoS): A market structure break where the price surpasses a previous high (bullish BoS) or low (bearish BoS).
Change of Character (CHoCH): A shift in market behavior when the price fails to continue in the same direction, indicating a possible trend reversal.
Once a break or shift is detected, the script plots lines and labels on the chart to visually mark the breakpoints.
It also provides alerts when a BoS or CHoCH occurs, keeping traders informed in real-time.
The indicator can color the background and candles based on the market structure, making it easy to identify the current trend.
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Special feature
At news events or other momentum pushes most structure indicators will go into "sleep mode" because of too far away structure highs/lows. This indicator has a structure reset feature to solve this issue.
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Detects Break of Structure (BoS) and Change of Character (CHoCH) signals.
Marks internal and external support/resistance levels where market trends change.
Provides visual cues (lines, labels) and real-time alerts for structure breaks.
Offers background and candle color customization to highlight market direction.
Fibonacci Bands [BigBeluga]The Fibonacci Band indicator is a powerful tool for identifying potential support, resistance, and mean reversion zones based on Fibonacci ratios. It overlays three sets of Fibonacci ratio bands (38.2%, 61.8%, and 100%) around a central trend line, dynamically adapting to price movements. This structure enables traders to track trends, visualize potential liquidity sweep areas, and spot reversal points for strategic entries and exits.
🔵 KEY FEATURES & USAGE
Fibonacci Bands for Support & Resistance:
The Fibonacci Band indicator applies three key Fibonacci ratios (38.2%, 61.8%, and 100%) to construct dynamic bands around a smoothed price. These levels often act as critical support and resistance areas, marked with labels displaying the percentage and corresponding price. The 100% band level is especially crucial, signaling potential liquidity sweep zones and reversal points.
Mean Reversion Signals at 100% Bands:
When price moves above or below the 100% band, the indicator generates mean reversion signals.
Trend Detection with Midline:
The central line acts as a trend-following tool: when solid, it indicates an uptrend, while a dashed line signals a downtrend. This adaptive midline helps traders assess the prevailing market direction while keeping the chart clean and intuitive.
Extended Price Projections:
All Fibonacci bands extend to future bars (default 30) to project potential price levels, providing a forward-looking perspective on where price may encounter support or resistance. This feature helps traders anticipate market structure in advance and set targets accordingly.
Liquidity Sweep:
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-Liquidity Sweep at Previous Lows:
The price action moves below a previous low, capturing sell-side liquidity (stop-losses from long positions or entries for breakout traders).
The wick suggests that the price quickly reversed, leaving a failed breakout below support.
This is a classic liquidity grab, often indicating a bullish reversal .
-Liquidity Sweep at Previous Highs:
The price spikes above a prior high, sweeping buy-side liquidity (stop-losses from short positions or breakout entries).
The wick signifies rejection, suggesting a failed breakout above resistance.
This is a bearish liquidity sweep , often followed by a mean reversion or a downward move.
Display Customization:
To declutter the chart, traders can choose to hide Fibonacci levels and only display overbought/oversold zones along with the trend-following midline and mean reversion signals. This option enables a clearer focus on key reversal areas without additional distractions.
🔵 CUSTOMIZATION
Period Length: Adjust the length of the smoothed moving average for more reactive or smoother bands.
Channel Width: Customize the width of the Fibonacci channel.
Fibonacci Ratios: Customize the Fibonacci ratios to reflect personal preference or unique market behaviors.
Future Projection Extension: Set the number of bars to extend Fibonacci bands, allowing flexibility in projecting price levels.
Hide Fibonacci Levels: Toggle the visibility of Fibonacci levels for a cleaner chart focused on overbought/oversold regions and midline trend signals.
Liquidity Sweep: Toggle the visibility of Liquidity Sweep points
The Fibonacci Band indicator provides traders with an advanced framework for analyzing market structure, liquidity sweeps, and trend reversals. By integrating Fibonacci-based levels with trend detection and mean reversion signals, this tool offers a robust approach to navigating dynamic price action and finding high-probability trading opportunities.
Batman - IndicatorThe Batman - Indicator is an advanced trend-following tool that combines multiple methodologies to provide traders with actionable insights for efficient decision-making. This comprehensive indicator leverages both classic and innovative approaches to detect market trends, identify relative strength, and signal entry/exit opportunities. Key features include:
Core Features:
1. Trend Analysis with ADX :
- Measures trend strength and signals shifts in momentum using the Average Directional Index (ADX).
- Configurable parameters allow traders to fine-tune the threshold for their preferred trading style.
2. Relative Strength (RS) Evaluation :
- Analyzes the relative strength of the asset compared to broader market indices (e.g., CRYPTOCAP:TOTAL, NSE:NIFTY, NASDAQ:NDX).
- Provides intuitive visual cues with strength and weakness coloring for quick decision-making.
3. Volume-Based Price Action Insights :
- Highlights bars with significant volume activity relative to a configurable moving average.
- Identifies potential turning points and momentum using color-coded volume bars.
4. 52-Week High/Low Detection :
- Tracks and flags new 52-week highs or lows to highlight key levels of interest.
- Adds context for long-term market trends and potential breakout/breakdown points.
5. Donchian Channel Breakouts :
- Detects changes in Donchian channel levels, signaling potential breakout or reversal scenarios.
6. Multi-Layered Scoring System :
- Combines ADX and RSI to score market conditions on a scale from bearish (Z) to bullish (A).
- Includes intermediate levels (X, Y, C) to capture nuanced shifts in sentiment.
7. Exit Strategies :
- Features customizable exit indicators, offering a choice between SuperTrend and VStop .
- Provides dynamic, visually distinct trendlines for clear trend-following exits.
Unique Value:
- Unlike traditional single-purpose indicators, the Batman - Indicator integrates multiple tools into a single cohesive framework.
- Each component is independently configurable, allowing traders to adapt the indicator to their unique strategy and risk tolerance.
- Background color and plot shapes improve visual clarity, ensuring ease of use during fast-paced trading sessions.
Use Cases:
- Scalping and intraday trading with dynamic trend and volume signals.
- Swing and positional trading with long-term high/low levels and trend exits.
- Relative strength analysis for pair trading or benchmarking performance against broader markets.
How It Works:
- Trend Identification : Utilizes ADX and RSI to provide directional bias and signal overbought/oversold conditions.
- Volume Analysis : Highlights potential areas of interest based on abnormal volume activity.
- Breakout Signals : Detects new 52-week highs/lows and Donchian channel breakouts for actionable alerts.
- Exit Planning : Offers clear, customizable exit levels via SuperTrend or VStop, reducing emotional decision-making.
Configuration:
- The indicator includes customizable inputs for all calculations (length, thresholds, multipliers) to suit diverse market conditions and trading styles.
- Default settings provide a balanced approach suitable for most markets but can be tailored as needed.
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Instructions for Use:
1. Add the indicator to your chart and configure the inputs according to your trading timeframe and asset type.
2. Pay attention to the ADX-RSI Scoring System for overall market sentiment.
3. Use volume-based price action and 52-week breakout signals to identify potential entries.
4. Exit trades based on the chosen exit indicator (SuperTrend or VStop) to manage risk and lock in profits.
Alerts:
- Set up alerts for scoring system changes, 52-week high/low breakouts, and exit signals for seamless trading automation.
Price Above 50 and 200 EMA with Smiley faces and 200 ema slope
Overview
This advanced indicator provides a comprehensive multi-timeframe analysis of price positioning relative to 50 and 200 Exponential Moving Averages (EMAs), offering traders a quick and intuitive view of market trends across different timeframes.
Key Features
Multi-Timeframe Analysis: Simultaneously evaluates price behavior across 5m, 15m, and other selected timeframes
EMA Trend Visualization: Instantly shows whether price is above or below 50 and 200 EMAs
Slope Direction Indicator: Tracks the directional momentum of the 200 EMA
Customizable Distance Metrics: Option to display distances as absolute values or percentages
Emoji-Based Indicators: Quick visual representation of price positioning
Functionality
The indicator uses color-coded and emoji-based signals to represent:
😊 (Blue): Price is above the EMA
☹️ (Red): Price is below the EMA
⬆️ (Blue): EMA slope is positive
⬇️ (Red): EMA slope is negative
Customization Options
Adjustable EMA periods
Togglable distance display
Distance representation (percentage or absolute value)
Best Used For
Trend identification
Multi-timeframe analysis
Quick market sentiment assessment
Supplementing other technical analysis tools
Recommended Timeframes
Intraday trading
Swing trading
Trend following strategies
Risk Disclaimer
This indicator is a tool for analysis and should not be used in isolation for trading decisions. Always combine with other technical and fundamental analysis, and proper risk management.
AadTrend [InvestorUnknown]The AadTrend indicator is an experimental trading tool that combines a user-selected moving average with the Average Absolute Deviation (AAD) from this moving average. This combination works similarly to the Supertrend indicator but offers additional flexibility and insights. In addition to generating Long and Short signals, the AadTrend indicator identifies RISK-ON and RISK-OFF states for each trade direction, highlighting areas where taking on more risk may be considered.
Core Concepts and Features
Moving Average (User-Selected Type)
The indicator allows users to select from various types of moving averages to suit different trading styles and market conditions:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Hull Moving Average (HMA)
Double Exponential Moving Average (DEMA)
Triple Exponential Moving Average (TEMA)
Relative Moving Average (RMA)
Fractal Adaptive Moving Average (FRAMA)
Average Absolute Deviation (AAD)
The Average Absolute Deviation measures the average distance between each data point and the mean, providing a robust estimation of volatility.
aad(series float src, simple int length, simple string avg_type) =>
avg = // Moving average as selected by the user
abs_deviations = math.abs(src - avg)
ta.sma(abs_deviations, length)
This provides a volatility measure that adapts to recent market conditions.
Combining Moving Average and AAD
The indicator creates upper and lower bands around the moving average using the AAD, similar to how the Supertrend indicator uses Average True Range (ATR) for its bands.
AadTrend(series float src, simple int length, simple float aad_mult, simple string avg_type) =>
// Calculate AAD (volatility measure)
aad_value = aad(src, length, avg_type)
// Calculate the AAD-based moving average by scaling the price data with AAD
avg = switch avg_type
"SMA" => ta.sma(src, length)
"EMA" => ta.ema(src, length)
"HMA" => ta.hma(src, length)
"DEMA" => ta.dema(src, length)
"TEMA" => ta.tema(src, length)
"RMA" => ta.rma(src, length)
"FRAMA" => ta.frama(src, length)
avg_p = avg + (aad_value * aad_mult)
avg_m = avg - (aad_value * aad_mult)
var direction = 0
if ta.crossover(src, avg_p)
direction := 1
else if ta.crossunder(src, avg_m)
direction := -1
A chart displaying the moving average with upper and lower AAD bands enveloping the price action.
Signals and Trade States
1. Long and Short Signals
Long Signal: Generated when the price crosses above the upper AAD band,
Short Signal: Generated when the price crosses below the lower AAD band.
2. RISK-ON and RISK-OFF States
These states provide additional insight into the strength of the current trend and potential opportunities for taking on more risk.
RISK-ON Long: When the price moves significantly above the upper AAD band after a Long signal.
RISK-OFF Long: When the price moves back below the upper AAD band, suggesting caution.
RISK-ON Short: When the price moves significantly below the lower AAD band after a Short signal.
RISK-OFF Short: When the price moves back above the lower AAD band.
Highlighted areas on the chart representing RISK-ON and RISK-OFF zones for both Long and Short positions.
A chart showing the filled areas corresponding to trend directions and RISK-ON zones
Backtesting and Performance Metrics
While the AadTrend indicator focuses on generating signals and highlighting risk areas, it can be integrated with backtesting frameworks to evaluate performance over historical data.
Integration with Backtest Library:
import InvestorUnknown/BacktestLibrary/1 as backtestlib
Customization and Calibration
1. Importance of Calibration
Default Settings Are Experimental: The default parameters are not optimized for any specific market condition or asset.
User Calibration: Traders should adjust the length, aad_mult, and avg_type parameters to align the indicator with their trading strategy and the characteristics of the asset being analyzed.
2. Factors to Consider
Market Volatility: Higher volatility may require adjustments to the aad_mult to avoid false signals.
Trading Style: Short-term traders might prefer faster-moving averages like EMA or HMA, while long-term traders might opt for SMA or FRAMA.
Alerts and Notifications
The AadTrend indicator includes built-in alert conditions to notify traders of significant market events:
Long and Short Alerts:
alertcondition(long_alert, "LONG (AadTrend)", "AadTrend flipped ⬆LONG⬆")
alertcondition(short_alert, "SHORT (AadTrend)", "AadTrend flipped ⬇Short⬇")
RISK-ON and RISK-OFF Alerts:
alertcondition(risk_on_long, "RISK-ON LONG (AadTrend)", "RISK-ON LONG (AadTrend)")
alertcondition(risk_off_long, "RISK-OFF LONG (AadTrend)", "RISK-OFF LONG (AadTrend)")
alertcondition(risk_on_short, "RISK-ON SHORT (AadTrend)", "RISK-ON SHORT (AadTrend)")
alertcondition(risk_off_short, "RISK-OFF SHORT (AadTrend)", "RISK-OFF SHORT (AadTrend)")
Important Notes and Disclaimer
Experimental Nature: The AadTrend indicator is experimental and should be used with caution.
No Guaranteed Performance: Past performance is not indicative of future results. Backtesting results may not reflect real trading conditions.
User Responsibility: Traders and investors should thoroughly test and calibrate the indicator settings before applying it to live trading.
Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Retracement Painpoints - Robinhodl21Description:
Retracement Painpoints is crafted to delve into the psychology of markets, particularly assets that are heavily driven by profit expectations and hype cycles. This tool excels when applied to assets experiencing strong hype phases. By visualizing downturns, you can assess which pullbacks are mere pauses in the hype cycle and which ones might signal the end of a trend or precede more significant declines. This insight allows you to identify critical points where market sentiment shifts, helping you make more informed trading decisions.
Main Features:
Focuses on assets influenced by hype and strong profit expectations. Helps distinguish between normal retracements and potential trend reversals.
Trend Detection Methods: Moving Average (MA): Utilizes a customizable MA period to determine market trends. Delta to All-Time High (ATH): Analyzes the percentage distance from the ATH to define trend direction. No Trend Detection: Allows for neutral analysis without trend bias.
Statistical Drawdown Analysis: Identifies local minima in drawdowns to calculate statistically significant levels. Option to calculate statistics based on trend direction (bullish/bearish). Adjustable variables for fine-tuning statistical levels.
Visualization: Plots drawdown curves with color-coding based on trend direction. Displays calculated statistical levels on the chart to highlight potential pain points.
Usage:
Set Parameters: Trend Detection Method: Choose your preferred method (MA, Delta to ATH, or None). MA Period: Define the period for the moving average (default: 420). Delta to ATH (%): Set the threshold for distance to ATH (default: 30%). Neutral Zone Delta to ATH (%): Define the neutral market zone (default: 60%). Stat Variables 1 & 2: Adjust these to select the desired statistical drawdown levels. Minimum Drawdown Threshold (%): Set the minimum drawdown to consider in analysis (default: 10%).
Interpretation: Drawdown Curve: Monitor percentage declines from local maxima. The color indicates the current trend direction: Green: Uptrend. Red: Downtrend. Gray: Neutral or no trend detection. Statistical Levels: Use the displayed levels as potential support or resistance zones, reflecting key psychological levels in the market.
Strategic Application: Identify crucial areas where the price has historically reversed. Assess whether a downturn is a typical retracement within a hype cycle or a sign of a more significant decline. Combine this tool with other technical analysis methods to enhance your trading strategy. Adjust settings based on market conditions and personal trading preferences.
Notes: The indicator is based on historical data and should not be used as the sole basis for trading decisions. It's recommended to test the indicator across various markets and timeframes. Past performance is not indicative of future results.
Created by Robinhodl
Another Brian"Another Brian" is an advanced TradingView indicator meticulously designed to offer traders a multifaceted analysis by integrating both technical and fundamental metrics. Unlike standard indicators, this script uniquely combines multi-period Moving Averages (SMA and WMA) with multi-day Volume-Weighted Average Prices (VWAPs) to accurately identify trend directions and potential support/resistance levels. It incorporates pivot points (S2 and R2) specifically calculated for intraday timeframes (1 to 14 minutes) to highlight key profit-taking areas tailored for day trading.
A standout feature of "Another Brian" is its dynamic background color coding, which changes based on the selected timeframe. This visual cue allows traders to instantly recognize the current trading context, enhancing situational awareness and decision-making efficiency.
On the fundamental side, the script evaluates dividend yield and dividend payout ratios, integrating these metrics with distribution data—crucial for ETFs where distributions may not appear as traditional dividends. By pulling and analyzing distribution information, "Another Brian" provides a more comprehensive yield assessment. This data is then compared to historical volatility (HV), enabling traders to gauge the stability and risk associated with their investments.
The indicator also features a comprehensive Risk-Adjusted Yield Ratio (RAYR), which compares the annualized distribution yield to its standard deviation. This ratio helps traders assess the efficiency of ETFs by balancing yield against volatility, highlighting investments that offer an optimal risk-return profile.
Central to the user experience is a dynamic data table that displays essential metrics such as 20-day Volume, ATR20, ADR20, moving averages status, yield ratios, and volatility measures. This table is color-coded for quick visual interpretation:
Setup : turn off the candle colors, the indicator draws price.
Red Indicators: Signal that a closer examination is needed, allowing traders to swiftly identify potential issues or opportunities.
Green and Yellow Indicators: Provide positive or neutral signals, aiding in the swift assessment of market conditions.
Additionally, "Another Brian" includes a trigger detection system that identifies potential bullish or bearish conditions based on the interaction between SMAs and WMAs across multiple timeframes. These triggers offer actionable trading signals, enhancing the tool's utility for both novice and experienced traders.
Key Features:
Moving Averages (MA):
Simple Moving Average (SMA): Calculates SMA over various periods (20-day, 50-day) to identify trend directions.
Weighted Moving Average (WMA): Computes WMA to give more significance to recent price data, aiding in trend detection.
Volume-Weighted Average Price (VWAP):
Multi-Day VWAPs: Plots VWAPs for 1-day, 2-day, and 3-day periods, helping traders identify potential support and resistance levels based on volume-weighted pricing.
Pivot Points:
Support (S2) and Resistance (R2): Calculates and plots key pivot points for intraday timeframes (1 to 14 minutes), assisting in identifying potential profit-taking zones for day trades.
Volatility Metrics:
Average True Range (ATR): Measures market volatility over a 20-day period.
Historical Volatility (HV): Assesses volatility over the past year, providing insights into price fluctuations.
Dividend and Distribution Analysis:
Dividend Yield & Payout Ratio: Displays current dividend yield and payout ratios as percentages.
Distribution Data: Integrates distribution information for ETFs, ensuring comprehensive yield analysis even when distributions don't appear as traditional dividends.
Risk-Adjusted Yield Ratio (RAYR):
RAYR Calculation: Compares the annualized distribution yield to its standard deviation, indicating the yield received for each unit of risk taken.
RAYR Indicators: Highlights ETFs with favorable RAYR values, aiding in identifying investments that offer a balanced risk-return profile.
Dynamic Data Table:
Comprehensive Metrics Display: Showcases key metrics such as 20-day Volume, ATR20, ADR20, moving averages status, yield ratios, and volatility measures.
Color-Coding: Utilizes color-coded elements to indicate the status of various metrics, enhancing visual interpretation and decision-making.
Quick View Alerts: Red indicators prompt traders to take a closer look, streamlining the analysis process.
Trigger Indicators:
Pre-Trigger Conditions: Identifies potential market triggers based on moving average crossovers and other predefined conditions.
Bullish and Bearish Conditions: Differentiates between bullish and bearish trends, providing visual cues for potential trade opportunities.
Background Color Coding:
Timeframe-Based Coloring: Changes the chart's background color based on the selected timeframe (e.g., yellow for 1-minute, blue for 5-minute), offering an immediate visual reference for the current trading context.
Usage Benefits:
Holistic Market Analysis: Combines technical indicators with fundamental metrics to provide a well-rounded view of stock performance.
Enhanced Decision-Making: Helps traders identify trends, volatility, and potential trade triggers, facilitating informed trading strategies.
Visual Clarity: Employs color-coded elements and a comprehensive data table to simplify complex data, making it easier to interpret market conditions at a glance.
Customization: Offers flexibility in selecting which VWAPs to display and allows for adjustments based on different timeframes and trading preferences.
Efficiency in Monitoring: The dynamic background and color-coded table enable quick assessments, saving traders time and enhancing responsiveness to market changes.
"Another Brian" is an invaluable tool for traders seeking to integrate multiple analytical perspectives into their trading routine. By providing deeper market insights through its unique combination of technical and fundamental metrics, along with intuitive visual cues, "Another Brian" empowers traders to make more informed and strategic decisions in the dynamic stock market environment.
Data extraction to clipboardHow to extract data from indicators/stratagies to clipbaord
///// Educational purpose only /////
This could be useful to store the best parameters for a strategy for instance...
to store and reuse them, to build some code in automatic , to transfer...
using the " log.info() " function ...
Supertrend and MACD strategyThe Supertrend and MACD Strategy is a comprehensive trading approach designed to capitalize on market trends by using a combination of the Supertrend indicator, the Exponential Moving Average (EMA), and the Moving Average Convergence Divergence (MACD). This strategy aims to identify optimal entry and exit points for both long and short trades, while incorporating strict risk management rules.
Indicators Used:
Supertrend: This indicator is used to identify the overall trend direction. It provides clear signals for trend reversals, helping traders to enter trades in the direction of the prevailing trend.
200-period EMA: This long-term moving average is used to determine the primary trend direction. The strategy only takes long trades when the price is above the 200 EMA and short trades when the price is below it.
MACD: The MACD is used to gauge the momentum and confirm the signals provided by the Supertrend and EMA. It consists of the MACD line, the signal line, and the histogram.
Entry Conditions:
Long Entry:
The Supertrend indicator shows an uptrend (direction > 0).
The MACD line is above the signal line (macd > signal).
The price is above the 200-period EMA (close > ema200).
Short Entry:
The Supertrend indicator shows a downtrend (direction < 0).
The MACD line is below the signal line (macd < signal).
The price is below the 200-period EMA (close < ema200).
Exit Conditions:
Long Exit:
Exit the long position when the MACD line crosses below the signal line (ta.crossunder(macd, signal)).
Set a stop loss (SL) below the lowest low of the last 10 periods (lowestLow - 1).
Short Exit:
Exit the short position when the MACD line crosses above the signal line (ta.crossover(macd, signal)).
Set a stop loss (SL) above the highest high of the last 10 periods (highestHigh + 1).
Risk Management:
The strategy ensures that no new positions are opened if there is already an open trade, preventing overexposure in the market.
Alerts:
Alerts are set to notify traders when the MACD crosses the signal line, providing timely updates for potential exit points.
Momentum Zones [TradersPro]OVERVIEW
The Momentum Zones indicator is designed for momentum stock traders to provide a visible trend structure with actionable price levels. The indicator has been designed for high-growth, bullish stocks on a daily time frame but can be used on any chart and timeframe.
Momentum zones help traders focus on the momentum structure of price, enabling disciplined trading plans with specific entry, exit, and risk management levels.
It is built using CCI values, allowing for fixed trend range calculations. It is most effective when applied to screens of stocks with high RSI, year-to-date (YTD) price gains of 25% or higher, as well as stocks showing growth in both sales and earnings quarter-over-quarter and year-over-year.
CONCEPTS
The indicator defines and colors uptrends (green), downtrends (red), and trends in transition or pausing (yellow).
The indicator can be used for new trend entry or trend continuation entry. New trend entry can be done on the first green bar after a red bar. Trend continuation entries can be done with the first green bar after a yellow bar. The yellow transition zones can be used as price buffers for stop-loss management on new entries.
To see the color changes, users need to be sure to uncheck the candlestick color settings. This can be done by right-clicking the chart, going to Symbols, and unchecking the candle color body, border, and wick boxes.
Remember to check them if the indicator is turned off, or the candles will be blank with no color.
The settings also correspond to the screening function to get a list of stocks entering various momentum zones so you can have a prime list of the stocks meeting any other fundamental criteria you may desire. Traders can then use the indicator for the entry and risk structure of the trading plan.
Ultra Liquidity HeatmapThe Ultra Liquditiy Heatmap is a unique visualization tool designed to map out areas of high liquidity on the chart using a dynamic heatmap, helping traders identify significant price zones effectively.
Introduction
The Ultra Liquidity Heatmap is an advanced indicator for visualizing key liquidity areas on your chart. Whether you're a scalper, swing trader, or long-term investor, understanding liquidity dynamics can offer a powerful edge in market analysis. This tool provides a straightforward visual representation of these zones directly on your chart.
Detailed Description
The Ultra Liquidity Heatmap identifies high and low liquidity zones by dynamically marking price ranges with heatmap-like boxes.
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Dynamic Zone Creation
For low liquidity zones, the script draws boxes extending from the low to the high of the bar. If the price breaks below a previously defined zone, that box is removed.
Similarly, for high liquidity zones, the script tracks and highlights price ranges above the current high, removing boxes if the price exceeds the zone.
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Customizable Visuals
Users can adjust the transparency and color of the heatmap, tailoring the visualization to their preference.
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Real-Time Updates
The indicator constantly updates as new price data comes in, ensuring that the heatmap reflects the most current liquidity zones.
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Efficiency and Scalability
The script uses optimized arrays and a maximum box limit of 500 to ensure smooth performance even on higher timeframes or during high-volatility periods.
.........
The Ultra Liquidity Heatmap bridges the gap between raw price data and actionable market insight. Add it to your toolbox and elevate your trading strategy today!
Weis Wave Max█ Overview
Weis Wave Max is the result of my weis wave study.
David Weis said,
"Trading with the Weis Wave involves changes in behavior associated with springs, upthrusts, tests of breakouts/breakdowns, and effort vs reward. The most common setup is the low-volume pullback after a bullish/bearish change in behavior."
THE STOCK MARKET UPDATE (February 24, 2013)
I inspired from his sentences and made this script.
Its Main feature is to identify the largest wave in Weis wave and advantageous trading opportunities.
█ Features
This indicator includes several features related to the Weis Wave Method.
They help you analyze which is more bullish or bearish.
Highlight Max Wave Value (single direction)
Highlight Abnormal Max Wave Value (both directions)
Support and Resistance zone
Signals and Setups
█ Usage
Weis wave indicator displays cumulative volume for each wave.
Wave volume is effective when analyzing volume from VSA (Volume Spread Analysis) perspective.
The basic idea of Weis wave is large wave volume hint trend direction. This helps identify proper entry point.
This indicator highlights max wave volume and displays the signal and then proper Risk Reward Ratio entry frame.
I defined Change in Behavior as max wave volume (single direction).
Pullback is next wave that does not exceed the starting point of CiB wave (LH sell entry, HL buy entry).
Change in Behavior Signal ○ appears when pullback is determined.
Change in Behavior Setup (Entry frame) appears when condition of Min/Max Pullback is met and follow through wave breaks end point of CiB wave.
This indicator has many other features and they can also help a user identify potential levels of trade entry and which is more bullish or bearish.
In the screenshot below we can see wave volume zones as support and resistance levels. SOT and large wave volume /delta price (yellow colored wave text frame) hint stopping action.
█ Settings
Explains the main settings.
-- General --
Wave size : Allows the User to select wave size from ① Fixed or ② ATR. ② ATR is Factor x ATR(Length).
Display : Allows the User to select how many wave text and zigzag appear.
-- Wave Type --
Wave type : Allows the User to select from Volume or Volume and Time.
Wave Volume / delta price : Displays Wave Volume / delta price.
Simplified value : Allows the User to select wave text display style from ① Divisor or ② Normalized. Normalized use SMA.
Decimal : Allows the User to select the decimal point in the Wave text.
-- Highlight Abnormal Wave --
Highlight Max Wave value (single direction) : Adds marks to the Wave text to highlight the max wave value.
Lookback : Allows the User to select how many waves search for the max wave value.
Highlight Abnormal Wave value (both directions) : Changes wave text size, color or frame color to highlight the abnormal wave value.
Lookback : Allows the User to select SMA length to decide average wave value.
Large/Small factor : Allows the User to select the threshold large wave value and small wave value. Average wave value is 1.
delta price : Highlights large delta price by large wave text size, small by small text size.
Wave Volume : Highlights large wave volume by yellow colored wave text, small by gray colored.
Wave Volume / delta price : highlights large Wave Volume / delta price by yellow colored wave text frame, small by gray colored.
-- Support and Resistance --
Single side Max Wave Volume / delta price : Draws dashed border box from end point of Max wave volume / delta price level.
Single side Max Wave Volume : Draws solid border box from start point of Max wave volume level.
Bias Wave Volume : Draws solid border box from start point of bias wave volume level.
-- Signals --
Bias (Wave Volume / delta price) : Displays Bias mark when large difference in wave volume / delta price before and after.
Ratio : Decides the threshold of become large difference.
3Decrease : Displays 3D mark when a continuous decrease in wave volume.
Shortening Of the Thrust : Displays SOT mark when a continuous decrease in delta price.
Change in Behavior and Pullback : Displays CiB mark when single side max wave volume and pullback.
-- Setups --
Change in Behavior and Pullback and Breakout : Displays entry frame when change in behavior and pullback and then breakout.
Min / Max Pullback : Decides the threshold of min / max pullback.
If you need more information, please read the indicator's tooltip.
█ Conclusion
Weis Wave is powerful interpretation of volume and its tell us potential trend change and entry point which can't find without weis wave.
It's not the holy grail, but improve your chart reading skills and help you trade rationally (at least from VSA perspective).
Kalman Trend Strength Index (K-TSI)The Kalman Trend Strength Index (K-TSI) is an innovative technical indicator that combines the Kalman filter with correlation analysis to measure trend strength in financial markets. This sophisticated tool aims to provide traders with a more refined method for trend analysis and market dynamics interpretation.
The use of the Kalman filter is a key feature of the K-TSI. This advanced algorithm is renowned for its ability to extract meaningful signals from noisy data. In financial markets, this translates to smoothing out price action while maintaining responsiveness to genuine market movements. By applying the Kalman filter to price data before performing correlation analysis, the K-TSI potentially offers more stable and reliable trend signals.
The synergy between the Kalman-filtered price data and correlation analysis creates an oscillator that attempts to capture market dynamics more effectively. The correlation component contributes by measuring the strength and consistency of price movements relative to time, while the Kalman filter adds robustness by reducing the impact of market noise. Basing these calculations on Kalman-filtered data may help reduce false signals and provide a clearer picture of underlying market trends.
A notable aspect of the K-TSI is its normalization process. This approach adjusts the indicator's values to a standardized range (-1 to 1), allowing for consistent interpretation across different market conditions and timeframes. This flexibility, combined with the noise-reduction properties of the Kalman filter, positions the K-TSI as a potentially useful tool for various market environments.
In practice, traders might find that the K-TSI offers several potential benefits:
Smoother trend identification, which could aid in detecting the start and end of trends more accurately.
Possibly reduced false signals, particularly in choppy or volatile markets.
Potential for improved trend strength assessment, which might lead to more confident trading decisions.
Consistent performance across different timeframes, due to the adaptive nature of the Kalman filter and the normalization process.
The K-TSI's visual representation as a color-coded histogram further enhances its utility. The changing colors and intensities provide an intuitive way to gauge both the direction and strength of trends, making it easier for traders to quickly assess market conditions.
While the K-TSI builds upon existing concepts in technical analysis, its integration of the Kalman filter with correlation analysis offers traders an interesting tool for market analysis. It represents an attempt to address common challenges in technical analysis, such as noise reduction and trend strength quantification.
As with any technical indicator, the K-TSI should be used as part of a broader trading strategy rather than in isolation. Its effectiveness will depend on how well it aligns with a trader's individual approach and market conditions. For traders looking to explore a more refined trend strength oscillator, the Kalman Trend Strength Index could be a worthwhile addition to their analytical toolkit.
COT Report Indicator with Selectable Data TypeOverview
The COT Report Indicator with Selectable Data Types is a powerful tool for traders who want to gain deeper insights into market sentiment using the Commitment of Traders (COT) data. This indicator allows you to visualize the net positions of different participant categories—Commercial, Noncommercial, and Nonreportable—directly on your chart.
The indicator is fully customizable, allowing you to select the type of data to display, sync with your chart's timeframe, or choose a custom timeframe. Whether you're analyzing gold, crude oil, indices, or forex pairs, this indicator adapts seamlessly to your trading needs.
Features
Dynamic Data Selection:
Choose between Commercial, Noncommercial, or Nonreportable data types.
Analyze the net positions of market participants for more informed decision-making.
Flexible Timeframes:
Sync with the chart's timeframe for quick analysis.
Select a custom timeframe to view COT data at your preferred granularity.
Wide Asset Coverage:
Supports various assets, including gold, silver, crude oil, indices, and forex pairs.
Automatically adjusts to the ticker you're analyzing.
Clear Visual Representation:
Displays Net Long, Net Short, and Net Difference (Long - Short) positions with distinct colors for easy interpretation.
Error Handling:
Alerts you if the symbol is unsupported, ensuring you know when COT data isn't available for a specific asset.
How to Use
Add the Indicator:
Click "Indicators" in TradingView and search for "COT Report Indicator with Selectable Data Types."
Add it to your chart.
Customize the Settings:
Data Type: Choose between Commercial, Noncommercial, or Nonreportable positions.
Data Source: Select "Futures Only" or "Futures and Options."
Timeframe: Sync with the chart's timeframe or specify a custom one (e.g., weekly, monthly).
Interpret the Data:
Green Line: Net Long Positions.
Red Line: Net Short Positions.
Black Line: Net Difference (Long - Short).
Supported Symbols:
Gold, Silver, Crude Oil, Natural Gas, Forex Pairs, S&P 500, US30, NAS100, and more.
Who Can Benefit
Trend Followers: Identify the buying/selling trends of Commercial and Noncommercial participants.
Sentiment Analysts: Understand shifts in sentiment among major market players.
Long-Term Traders: Use COT data to confirm or contradict your fundamental analysis.
Example Use Case
For example, if you're trading gold (XAUUSD) and select Noncommercial Positions, you’ll see the long and short positions of speculators. An increase in net long positions may signal bullish sentiment, while an increase in net short positions may indicate bearish sentiment.
If you switch to Commercial Positions, you'll get insights into how hedgers and institutions are positioning themselves, helping you confirm or counterbalance your current trading strategy.
Limitations
The indicator only works with supported symbols (COT data availability is limited to specific assets).
The COT data is updated weekly, so it is not suitable for short-term intraday trading.
Onchain Analysis - BTCIntroduction
This indicator is designed to equip traders with actionable insights into long-term BITSTAMP:BTCUSD market dynamics through a blend of on-chain metrics and technical tools. It provides a streamlined visualization of market sentiment and critical price levels using unique and proprietary methodologies.
The script features:
NUPL (Net Unrealized Profit/Loss) with advanced bar color coding.
350DMA and 350DMAx2, offering insights into key Bitcoin cycle levels.
Logarithmic Fibonacci Extension, aiding in precise target setting during price discovery phases.
Core Functionality
NUPL Analysis
NUPL reflects the network's aggregate unrealized profit or loss, calculated as (Market Cap − Realized Cap) / Market Cap. Bars are color-coded dynamically to simplify the interpretation of market sentiment. The emotional states (e.g., euphoria, fear) are visually represented for quick analysis, making this indicator particularly valuable for traders monitoring Bitcoin's macro cycles. This implementation improves clarity by aggregating NUPL across all holders rather than separating short- and long-term holders.
350DMA and 350DMAx2
The 350DMAx2 line has historical relevance as a key level during Bitcoin bull cycles, often acting as a resistance point during price rallies. This implementation also includes precise visualization of price interaction with the 350DMA, enabling traders to anticipate potential retracement or breakout zones. Furthermore, to minimize chart clutter, the 350DMA and 350DMAx2 lines are designed to dynamically appear only when the price is near these levels. This ensures that traders can focus on relevant data without unnecessary visual distractions.
Logarithmic Fibonacci Extensions
Unlike traditional Fibonacci extensions, logarithmic levels better suit assets like Bitcoin that grow exponentially. The calculated levels provide traders with clear targets in price discovery phases, enhancing the utility of this feature.
Key Advantages and Unique Features
Enhanced Visualization : NUPL bar color-coding simplifies sentiment analysis, allowing traders to instantly identify key turning points in market psychology.
Historical Context : The script incorporates insights derived from past market cycles, emphasizing the significance of 350DMAx2 levels.
Customization : Traders can adapt settings like lookback periods (e.g., 500 for daily, 100 for weekly) to fit their preferred timeframe and trading strategy.
Proprietary Insights : The script integrates logarithmic Fibonacci levels in a unique manner, optimizing their application to logarithmic assets.
Why This Indicator is Valuable
This indicator is not a simple combination of existing tools; it is a carefully curated suite of functionalities designed to address specific needs of crypto traders. The advanced NUPL representation and integration of logarithmic Fibonacci make it a distinct addition to any trader's toolkit. It provides clarity in interpreting long-term trends and offers actionable insights for navigating Bitcoin's cyclical nature.
How to Use
NUPL Monitoring
Pay close attention to initial color changes, e.g. orange and red, since it may establish clear pull-back. Especially, when bars turn black, it suggests that the market is heavily in profit, often signaling a market top.
350DMAx2 Interaction
If the price is trading below or near the 350DMAx2 level, it often reflects a key resistance zone. Historically, price rejections from this level are common, offering traders critical insights into potential retracement scenarios.
Logarithmic Fibonacci Extensions
Logarithmic Fibonacci extension levels are especially valuable for assets like BITSTAMP:BTCUSD , which exhibit logarithmic growth. These levels provide:
Target Identification: During price discovery phases, the logarithmic Fibonacci levels act as critical resistance or support points, enabling traders to set realistic price targets.
Market Top Detection: When extreme NUPL values (e.g., black bars) align with price interaction near logarithmic Fibonacci levels, the likelihood of a market top increases significantly. This alignment offers a robust method for identifying overbought or overextended market conditions.
Combining Concepts
When NUPL's extreme signals (e.g., red or black bars) align with price movements near the 350DMAx2 level, the likelihood of a significant pullback increases. Additionally, these scenarios can be further validated by observing logarithmic Fibonacci resistance levels, which can provide added confidence in identifying market tops during price discovery phases.
