Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI
Introduction
The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience.
Why Combine RSI with FRAMA
Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions.
By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure.
With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes.
Originality
This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility.
This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions.
Features
Adaptive FRAMA RSI
The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts.
Zero-Lag Moving Average (ZLMA)
A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection.
Bullish and Bearish Threshold Crossovers
This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals.
Noise Filter and Manual Alpha
A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity.
Divergence Detection
The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals.
Reversal Signals
Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals.
Buy and Sell Signal Options
Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style.
ZLMA:
FRAMA:
Customizable Alerts
Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed.
Fully Customizable Bar Coloring System
Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition.
Input Parameters and Features
Core Inputs
RSI Length (default: 14) defines the period for RSI calculations.
FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function.
RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish.
Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals.
Additional Features
Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold.
Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots.
Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points.
Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry.
ZLMA Enhancements
ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI.
Visualization Options
Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor.
Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level.
How It Works
FRAMA Calculation
FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness.
RSI with FRAMA Smoothing
RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag.
Bullish and Bearish Threshold Crosses
A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals.
Buy and Sell Signal Options
Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing.
Divergence Detection
The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals.
Reversal Signal Labels
When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points.
Bar Coloring System
Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment.
Alerts and Internal Stats
Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator.
Summary
The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters.
Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading.
Disclaimer
This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
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Improved SF Oscillator | JeffreyTimmermansImproved SF Oscillator
The "Improved SF Oscillator" is an advanced and versatile technical indicator designed to transform any moving average (MA) into a dynamic oscillator. This cutting-edge tool incorporates up to 13 different moving average types, including specialized indicators like Kaufman’s Adaptive Moving Average (KAMA), Tillson's Exponential Moving Average (T3), and the Arnaud Legoux Moving Average (ALMA). The oscillator offers traders a powerful tool for both trend-following and mean reversion strategies, significantly enhancing their ability to analyze market movements, identify potential entry and exit points, and make informed trading decisions.
This script is inspired by "EliCobra" . However, it is more advanced and includes additional features and options.
Core Functionality and Methodology
The Improved SF Oscillator leverages user-defined parameters to calculate the selected moving average type. Key inputs, such as the length of the MA and smoothing factors, offer traders extensive customization. Additionally, the indicator utilizes a unique process of deriving both the mean and standard deviation of the moving average over a defined normalization period. This method is crucial for normalizing the moving average and standardizing its behavior. The final step in this calculation involves deriving the Z-Score, which is computed by subtracting the moving average's mean from its current value and then dividing the result by the standard deviation.
This normalization allows the oscillator to display a standardized value that highlights the relative position of the moving average, offering a clear view of market volatility and potential trend shifts. By incorporating this statistical approach, the Improved SF Oscillator helps traders assess price behavior in relation to its typical fluctuations, providing vital insight into whether the price is overbought, oversold, or near a turning point.
The Moving Average Types
One of the standout features of the Improved SF Oscillator is its support for a wide variety of moving average types. Each MA type has its own unique methodology and behavior, allowing traders to choose the best fit for their trading strategy:
KAMA (Kaufman’s Adaptive Moving Average):
KAMA is designed to adapt its smoothing period dynamically based on market volatility. When market conditions are more volatile, KAMA responds quickly, while during calmer periods, it smooths price action more effectively. This characteristic allows KAMA to capture trends with minimal noise, providing traders with a smoother and more adaptive moving average.
T3 (Tillson's Exponential Moving Average):
The T3 MA is a refined version of the traditional EMA. By applying additional smoothing to the moving average, it significantly reduces lag and increases responsiveness. This allows traders to capture trends more accurately while maintaining the benefit of smooth price tracking.
ALMA (Arnaud Legoux Moving Average):
ALMA combines both linear regression and exponential smoothing techniques. Its unique formula allows for reduced lag and noise, providing a smoother representation of price trends. ALMA is particularly useful in detecting trend changes and is highly favored for its precision and ability to identify entry and exit points with minimal delay.
Z-Score and Normalization
The Z-Score is central to the functionality of the Improved SF Oscillator. By calculating the standard deviation and mean of the moving average over a defined period, the Z-Score standardizes the values of the MA. This transformation allows traders to assess the relative position of price in terms of how far it deviates from its mean, taking market volatility into account.
The Z-Score provides the following key benefits:
Overbought/Oversold Conditions: By assessing the Z-Score, traders can identify whether the price is approaching overbought or oversold conditions. Extreme positive or negative Z-Score values indicate potential reversals.
Volatility Adjustments: The Z-Score allows traders to understand market volatility in a normalized way, facilitating more accurate readings of price movements in relation to their typical behavior.
Enhanced Utility and Features
The Improved SF Oscillator is built for use in both trend-following and mean-reversion strategies. Traders can analyze the position of the oscillator relative to its midline to confirm trends. The oscillator’s deviation from the midline can indicate potential reversals, while extreme values can serve as signals for mean-reversion trades.
Additional features include:
Custom Alerts: The Improved SF Oscillator comes with real-time alerts for significant events such as trend reversals or when the oscillator crosses important thresholds. Traders can set alerts for when the oscillator exceeds a specified Z-Score, signaling overbought or oversold conditions.
Reversal Bubbles: To further aid in identifying turning points, the oscillator provides visually distinctive bubbles on the chart that highlight potential reversal points. These bubbles mark instances when the oscillator reaches an extreme value and then begins to reverse, offering valuable signals for potential entry or exit points.
Bar Coloring Options: The oscillator features a variety of bar coloring options, including:
Trend (Midline Cross): Bar colors change when the oscillator crosses its midline, signaling potential shifts in market momentum.
Extremities: Bars are colored based on extreme values, helping traders quickly identify periods of high volatility or potential trend reversals.
Reversions: Bar colors change when reversal conditions are met, such as when the oscillator shows signs of turning from overbought to oversold or vice versa.
Slope: Bars are colored based on the slope of the oscillator, providing insights into the underlying momentum of the market.
Recent Improvements and Features
After its initial release, the Improved SF Oscillator underwent several significant updates aimed at enhancing its usability and providing traders with more advanced tools:
Reversal Point Alerts: The addition of alerts for potential reversal points adds a crucial layer of functionality. These alerts notify traders in real time when the oscillator signals an overbought or oversold condition, or when it reaches a reversal point that could mark a shift in market direction.
Dashboard Integration: A dashboard feature was introduced to provide an overview of the oscillator’s readings. This allows traders to quickly assess the market conditions and oscillator behavior across multiple timeframes or instruments, ensuring that they are always aware of potential opportunities or risks.
Visual Enhancements: Several visual improvements were made to the bar coloring system, making it easier for traders to quickly interpret market conditions at a glance. The addition of customized bar color schemes for trends, extremes, and slopes helps traders make faster decisions based on clear visual cues.
Revised Inputs and Customization: The user interface was improved to offer more flexibility in customizing the indicator’s inputs. Traders can now fine-tune the oscillator's behavior to match their trading style, adjusting factors such as the length of the moving average, the type of smoothing, and the threshold values for overbought and oversold conditions.
Use Cases and Practical Application
The Improved SF Oscillator is ideal for a wide range of trading strategies, from long-term trend-following techniques to short-term mean-reversion approaches. Here are some practical use cases:
Trend Confirmation: Traders can use the oscillator to confirm existing trends. When the oscillator is above the midline and moving upward, it may confirm a bullish trend. Similarly, a downward slope below the midline may indicate a bearish trend.
Mean Reversion Trading: By observing the oscillator’s movement beyond certain Z-Score thresholds, traders can identify potential mean-reversion opportunities. Extreme readings above or below the midline signal that price may be ready to revert to its average.
Reversal Detection: The reversal bubbles and alerts provide early warnings of potential trend reversals, making the Improved SF Oscillator an effective tool for spotting turning points before they fully manifest.
Volatility Assessment: The Z-Score and different MA types allow traders to assess market volatility, adjusting their trading approach based on the current market conditions. For instance, during periods of low volatility, slower MAs like KAMA may be more suitable, while during high volatility, faster MAs like T3 or ALMA can offer more responsiveness.
Key Features Recap
13 moving average types to suit different market conditions and trading strategies.
Z-Score normalization for accurate assessments of market volatility and overbought/oversold conditions.
Alerts for reversal points, extreme Z-Score values, and trend changes.
Dashboard to monitor oscillator values and conditions across timeframes and instruments.
Reversal point bubbles to visually highlight potential turning points.
Customizable bar coloring for trend, extremity, reversal, and slope visualization.
The Improved SF Oscillator offers a comprehensive, flexible, and user-friendly tool for traders looking to enhance their analysis and make better-informed decisions in a constantly evolving market. Whether used for trend-following, mean-reversion, or volatility analysis, this indicator is designed to provide valuable insights that can help traders navigate even the most challenging market conditions.
-Jeffrey
RM - FF - DDRM - rKr Indicator
The RM - rKr Indicator is designed to evaluate price momentum by analyzing relative percentage deviations of price components (high, open, low, and close) from their simple moving average. It provides a comprehensive signal of market conditions through color-coded bars, crossovers, and dynamic alerts.
Key Features
• Relative Kr Calculations: Calculates the relative percentage deviation of each price component (high, open, low, close) from their respective moving averages. The results are then averaged to provide a single momentum value.
• Dynamic Bar Coloring: Bars are color-coded based on the sum's value:
Green for positive momentum (sum > 0).
Purple for negative momentum (sum < 0).
• Crossover Signals: Visual markers indicate when the momentum crosses above or below the zero line, signaling potential long (⦿ below bars) or short (⦿ above bars) opportunities.
• Alerts: Built-in alert conditions notify traders of bullish or bearish market conditions when the momentum value crosses zero.
How It Works
Calculates the percentage difference between price components (high, open, low, close) and their simple moving averages.
Averages the results to derive a single momentum value (sum).
Uses zero as the baseline to determine market direction:
Positive values suggest bullish momentum.
Negative values suggest bearish momentum.
Highlights potential trade opportunities with crossover signals when the sum crosses the zero line.
How to Use
• Identify Trends: Use bar colors and the momentum value to gauge market direction.
• Spot Reversals: Monitor for crossover signals near the zero line to identify potential entry or exit points.
• Confirm Conditions: Combine with other indicators for enhanced trend confirmation.
Example Use Cases
Momentum Trading: Use green or purple bars to confirm bullish or bearish momentum.
Reversal Signals: Watch for crossover signals near the zero line for potential trend reversals.
Volatility Assessment: Employ the indicator to measure price momentum deviations over time.
Disclaimer
This indicator provides an analytical view of price momentum and market conditions. It does not guarantee future performance and should be used in conjunction with other tools and proper risk management strategies.
RM - rKrRM - rKr Indicator
The RM - rKr Indicator is designed to evaluate price momentum by analyzing relative percentage deviations of price components (high, open, low, and close) from their simple moving average. It provides a comprehensive signal of market conditions through color-coded bars, crossovers, and dynamic alerts.
Key Features
• Relative Kr Calculations: Calculates the relative percentage deviation of each price component (high, open, low, close) from their respective moving averages. The results are then averaged to provide a single momentum value.
• Dynamic Bar Coloring: Bars are color-coded based on the sum's value:
Green for positive momentum (sum > 0).
Purple for negative momentum (sum < 0).
• Crossover Signals: Visual markers indicate when the momentum crosses above or below the zero line, signaling potential long (⦿ below bars) or short (⦿ above bars) opportunities.
• Alerts: Built-in alert conditions notify traders of bullish or bearish market conditions when the momentum value crosses zero.
How It Works
Calculates the percentage difference between price components (high, open, low, close) and their simple moving averages.
Averages the results to derive a single momentum value (sum).
Uses zero as the baseline to determine market direction:
Positive values suggest bullish momentum.
Negative values suggest bearish momentum.
Highlights potential trade opportunities with crossover signals when the sum crosses the zero line.
How to Use
• Identify Trends: Use bar colors and the momentum value to gauge market direction.
• Spot Reversals: Monitor for crossover signals near the zero line to identify potential entry or exit points.
• Confirm Conditions: Combine with other indicators for enhanced trend confirmation.
Example Use Cases
Momentum Trading: Use green or purple bars to confirm bullish or bearish momentum.
Reversal Signals: Watch for crossover signals near the zero line for potential trend reversals.
Volatility Assessment: Employ the indicator to measure price momentum deviations over time.
Disclaimer
This indicator provides an analytical view of price momentum and market conditions. It does not guarantee future performance and should be used in conjunction with other tools and proper risk management strategies.
S&P500 Market Breadth /MA20Introduction
It calculates the percentage of assets trading above their 20-day moving average (MA20), providing a clear view of market breadth and highlighting the strength of an uptrend or downtrend.
Features
• Market Breadth Analysis: The MA20 Market Breadth Indicator tracks the number of assets trading above their 20-day moving average, offering an intuitive view of the proportion of rising versus falling assets. A high breadth suggests a strong uptrend, while low breadth indicates that most assets are in a downtrend.
• Trend Following: This indicator allows traders to easily identify whether the overall market trend is healthy and upward or potentially weakening and downward.
• Simple and Intuitive: The breadth is displayed as a percentage, enabling users to quickly assess market conditions and make informed decisions.
How to Use
1. Assess Market Sentiment: When the MA20 market breadth is above the 50% zone, it indicates that the market is in a broad uptrend, favoring long positions. When it falls below 50%, it signals downward pressure, making it a time for caution or short opportunities.
2. Spot Trend Reversals: Sudden changes in market breadth, such as a sharp decline from a high level, can indicate an upcoming market reversal or correction, signaling traders to adjust their positions.
3. Confirm Trends: Combine the MA20 market breadth with other indicators, such as momentum or volume, to further validate the overall direction of the market.
Applicable Markets
This indicator works across various markets and asset classes, including but not limited to:
• Stock markets (indices and individual stocks)
• Cryptocurrencies
• Forex markets
Conclusion
The MA20 Market Breadth Indicator provides traders with a clear picture of market health, helping to identify broader trends and confirm shifts in market sentiment. It’s an essential tool for traders of all types, particularly those focused on medium to short-term trend following and market reversals.
Disclaimer
This indicator is for educational purposes only. Please use it in conjunction with your own trading strategies and adjust according to your risk tolerance.
This introduction should work well for your TradingView release. You can adjust it as needed for specific features or updates in the indicator.
APB candle(Average Price Bar)
APB Candle (Average Price Bar) with Heikin Ashi and Default Candle ON/OFF Control
Description (日本語解説は下記):
The APB Candle (Average Price Bar) provides a smoother and clearer visualization of market trends compared to standard candlesticks or Heikin Ashi. Unlike regular candlesticks, which display raw price data, APB candles calculate the average of open, high, low, and close prices, effectively filtering out short-term noise and minor fluctuations. This allows traders to focus on overall trends rather than being distracted by small, unpredictable price movements.
Why APB is superior:
・Better Trend Identification: APB candles smooth price data more effectively than standard candlesticks, making it easier to spot sustained trends.
・Reduced Market Noise: While Heikin Ashi also filters noise, APB provides a clearer view of actual price averages, offering a better balance between smoothing and staying close to the real price.
・Clear Entry and Exit Signals: By smoothing out minor fluctuations, APB candles can provide clearer signals for entering and exiting trades, particularly in volatile markets.
Key Features:
１．APB Candle ON/OFF: Display smoothed average price bars that filter out minor fluctuations, making trends clearer.
２．Heikin Ashi Candle ON/OFF: Remove market noise and visualize smoother trends using Heikin Ashi candles.
３．Default Candle ON/OFF: Compare APB and Heikin Ashi candles with the standard TradingView candles.
４．Customizable Colors: Personalize the colors of bullish and bearish candles, including the body, wick, and border.
５．Color Shift Threshold: Adjust the transparency of APB candles based on a user-defined threshold for smaller body sizes.
６．Countdown Timer: See how much time remains before the next candle forms, with customizable size, position, and color.
Trading Strategy:
・Trend Following with APB: Use APB candles to identify smoother trends by filtering out minor price fluctuations. This can be useful for trend-following strategies in volatile markets.
・Heikin Ashi for Reversals: Heikin Ashi candles help to smooth out trends, making it easier to spot potential reversals. When switching from red to green (or vice versa), it could signal a change in direction.
・Compare APB, Heikin Ashi, and Default Candles: For confirmation, compare APB and Heikin Ashi signals with default candlesticks to ensure reliability before entering a trade.
Benefits:
・Customizable Visualization: You can quickly switch between different candle types, depending on your strategy, without changing your chart setup.
・Clear Trend Identification: APB and Heikin Ashi candles help filter out noise, making it easier to see trends and reversals.
・Multiple Timeframes: Works well on multiple timeframes, allowing for flexible trading strategies.
Drawbacks:
・Smoothing May Hide Important Details: While APB and Heikin Ashi smooth price action, they might obscure key price points or signals on smaller timeframes.
・Potential Over-Reliance on Visuals: Relying too much on smoothed candles might cause traders to miss underlying market conditions or important price levels visible in traditional candlesticks.
APBキャンドル（平均価格バー）とヘイキンアシ、デフォルトローソク足のON/OFF制御
説明:
**APBキャンドル（平均価格バー）**は、標準のローソク足やヘイキンアシに比べ、よりスムーズで明確なトレンドの視覚化を提供します。通常のローソク足が生データをそのまま表示するのに対し、APBキャンドルはオープン、高値、安値、終値の平均を計算してノイズを除去し、小さな価格変動をフィルタリングします。これにより、短期的なノイズに惑わされることなく、全体的なトレンドに集中することが可能です。
APBが優れている理由:
・トレンドの把握が容易: APBキャンドルは標準のローソク足よりも価格データを滑らかにし、持続的なトレンドを見つけやすくします。
・市場ノイズの削減: ヘイキンアシもノイズをフィルタリングしますが、APBは実際の価格平均に基づいており、スムージングと実際の価格データのバランスが優れています。
・エントリー・エグジットの明確化: 小さな変動を滑らかにすることで、特にボラティリティの高い市場でのエントリー・エグジットシグナルが明確になります。
主な機能:
１．APBキャンドルのON/OFF: 小さな価格変動をフィルタリングし、トレンドを明確に表示します。
２．ヘイキンアシキャンドルのON/OFF: ノイズを取り除き、スムーズなトレンドを視覚化します。
３．デフォルトローソク足のON/OFF: 標準のローソク足との比較を容易にし、戦略に応じて使用可能です。
４．色のカスタマイズ: 上昇時と下降時のローソク足の色を自由に設定可能。
色変化のしきい値設定: APBキャンドルのボディサイズが小さい場合に色を薄くするしきい値を設定できます。
５．カウントダウンタイマー: 各ローソク足の下に、次のローソク足が形成されるまでの残り時間を表示します。
トレード戦略:
・APBでのトレンドフォロー: APBキャンドルを使って、スムーズなトレンドを確認し、ボラティリティの高い市場でトレンドフォロー戦略を取る。
・ヘイキンアシでの反転シグナル確認: ヘイキンアシを使い、上昇（緑）から下降（赤）への色変化を反転シグナルとして利用。
・3種類のローソク足の比較: APB、ヘイキンアシ、デフォルトローソク足を比較し、トレンドや反転の信頼性を確認してからエントリーする。
メリット:
・カスタマイズ性が高い: 戦略に応じて3種類のローソク足を自由に切り替え可能。
・トレンドの把握が容易: ノイズを除去してトレンドや反転を明確に把握できる。
・複数タイムフレームで効果的: 複数のタイムフレームで利用可能なため、柔軟な戦略が立てられる。
デメリット:
・重要な情報の隠蔽の可能性: APBやヘイキンアシのスムージングにより、小さな価格変動や重要な価格ポイントが隠れる可能性がある。
・視覚的な判断に依存しすぎるリスク: スムーズなローソク足に頼りすぎることで、標準的なローソク足で確認できる重要な情報を見逃す可能性があります。
注意書き:
１．インジケーターの突然の変更や削除の可能性: このインジケーターは今後予告なく変更や削除される場合がありますのでご注意ください。
２．損失の責任について: このインジケーターを使用したことによる損失に関して、作者は一切の責任を負いません。トレードは自己責任で行ってください。
Grid Bot Parabolic [xxattaxx]🟩 The Grid Bot Parabolic, a continuation of the Grid Bot Simulator Series , enhances traditional gridbot theory by employing a dynamic parabolic curve to visualize potential support and resistance levels. This adaptability is particularly useful in volatile or trending markets, enabling traders to explore grid-based strategies and gain deeper market insights. The grids are divided into customizable trade zones that trigger signals as prices move into new zones, empowering traders to gain deeper insights into market dynamics and potential turning points.
While traditional grid bots excel in ranging markets, the Grid Bot Parabolic’s introduction of acceleration and curvature adds new dimensions, enabling its use in trending markets as well. It can function as a traditional grid bot with horizontal lines, a tilted grid bot with linear slopes, or a fully parabolic grid with curves. This dynamic nature allows the indicator to adapt to various market conditions, providing traders with a versatile tool for visualizing dynamic support and resistance levels.
🔑 KEY FEATURES 🔑
Adaptable Grid Structures (Horizontal, Linear, Curved)
Buy and Sell Signals with Multiple Trigger/Confirmation Conditions
Secondary Buy and Secondary Sell Signals
Projected Grid Lines
Customizable Grid Spacing and Zones
Acceleration and Curvature Control
Sensitivity Adjustments
📐 GRID STRUCTURES 📐
Beyond its core parabolic functionality, the Parabolic Grid Bot offers a range of grid configurations to suit different market conditions and trading preferences. By adjusting the "Acceleration" and "Curvature" parameters, you can transform the grid's structure:
Parabolic Grids
Setting both acceleration and curvature to non-zero values results in a parabolic grid.This configuration can be particularly useful for visualizing potential turning points and trend reversals. Example: Accel = 10, Curve = -10)
Linear Grids
With a non-zero acceleration and zero curvature, the grid tilts to represent a linear trend, aiding in identifying potential support and resistance levels during trending phases. Example: Accel =1.75, Curve = 0
Horizontal Grids
When both acceleration and curvature are set to zero, the indicator reverts to a traditional grid bot with horizontal lines, suitable for ranging markets. Example: Accel=0, Curve=0
⚙️ INITIAL SETUP ⚙️
1.Adding the Indicator to Your Chart
Locate a Starting Point: To begin, visually identify a price point on your chart where you want the grid to start.This point will anchor your grid.
2. Setting Up the Grid
Add the Grid Bot Parabolic Indicator to your chart. A “Start Time/Price” dialog will appear
CLICK on the chart at your chosen start point. This will anchor the start point and open a "Confirm Inputs" dialog box.
3. Configure Settings. In the dialog box, you can set the following:
Acceleration: Adjust how quickly the grid reacts to price changes.
Curve: Define the shape of the parabola.
Intervals: Determine the distance between grid levels.
If you choose to keep the default settings, with acceleration set to 0 and curve set to 0, the grid will display as traditional horizontal lines. The grid will align with your selected price point, and you can adjust the settings at any time through the indicator’s settings panel.
⚙️ CONFIGURATION AND SETTINGS ⚙️
Grid Settings
Accel (Acceleration): Controls how quickly the price reacts to changes over time.
Curve (Curvature): Defines the overall shape of the parabola.
Intervals (Grid Spacing): Determines the vertical spacing between the grid lines.
Sensitivity: Fine tunes the magnitude of Acceleration and Curve.
Buy Zones & Sell Zones: Define the number of grid levels used for potential buy and sell signals.
* Each zone is represented on the chart with different colors:
* Green: Buy Zones
* Red: Sell Zones
* Yellow: Overlap (Buy and Sell Zones intersect)
* Gray: Neutral areas
Trigger: Chooses which part of the candlestick is used to trigger a signal.
* `Wick`: Uses the high or low of the candlestick
* `Close`: Uses the closing price of the candlestick
* `Midpoint`: Uses the middle point between the high and low of the candlestick
* `SWMA`: Uses the Symmetrical Weighted Moving Average
Confirm: Specifies how a signal is confirmed.
* `Reverse`: The signal is confirmed if the price moves in the opposite direction of the initial trigger
* `Touch`: The signal is confirmed when the price touches the specified level or zone
Sentiment: Determines the market sentiment, which can influence signal generation.
* `Slope`: Sentiment is based on the direction of the curve, reflecting the current trend
* `Long`: Sentiment is bullish, favoring buy signals
* `Short`: Sentiment is bearish, favoring sell signals
* `Neutral`: Sentiment is neutral. No secondary signals will be generated
Show Signals: Toggles the display of buy and sell signals on the chart
Chart Settings
Grid Colors: These colors define the visual appearance of the grid lines
Projected: These colors define the visual appearance of the projected lines
Parabola/SWMA: Adjust colors as needed. These are disabled by default.
Time/Price
Start Time & Start Price: These set the starting point for the parabolic curve.
* These fields are automatically populated when you add the indicator to the chart and click on an initial location
* These can be adjusted manually in the settings panel, but he easiest way to change these is by directly interacting with the start point on the chart
Please note: Time and Price must be adjusted for each chart when switching assets. For example, a Start Price on BTCUSD of $60,000 will not work on an ETHUSD chart.
🤖 ALGORITHM AND CALCULATION 🤖
The Parabolic Function
At the core of the Parabolic Grid Bot lies the parabolic function, which calculates a dynamic curve that adapts to price action over time. This curve serves as the foundation for visualizing potential support and resistance levels.
The shape and behavior of the parabola are influenced by three key user-defined parameters:
Acceleration: This parameter controls the rate of change of the curve's slope, influencing its tilt or steepness. A higher acceleration value results in a more pronounced tilt, while a lower value leads to a gentler slope. This applies to both curved and linear grid configurations.
Curvature: This parameter introduces and controls the curvature or bend of the grid. A higher curvature value results in a more pronounced parabolic shape, while a lower value leads to a flatter curve or even a straight line (when set to zero).
Sensitivity: This setting fine-tunes the overall responsiveness of the grid, influencing how strongly the Acceleration and Curvature parameters affect its shape. Increasing sensitivity amplifies the impact of these parameters, making the grid more adaptable to price changes but potentially leading to more frequent adjustments. Decreasing sensitivity reduces their impact, resulting in a more stable grid structure with fewer adjustments. It may be necessary to adjust Sensitivity when switching between different assets or timeframes to ensure optimal scaling and responsiveness.
The parabolic function combines these parameters to generate a curve that visually represents the potential path of price movement. By understanding how these inputs influence the parabola's shape and behavior, traders can gain valuable insights into potential support and resistance areas, aiding in their decision-making process.
Sentiment
The Parabolic Grid Bot incorporates sentiment to enhance signal generation. The "Sentiment" input allows you to either:
Manually specify the market sentiment: Choose between 'Long' (bullish), 'Short' (bearish), or 'Neutral'.
Let the script determine sentiment based on the slope of the parabolic curve: If 'Slope' is selected, the sentiment will be considered 'Long' when the curve is sloping upwards, 'Short' when it's sloping downwards, and 'Neutral' when it's flat.
Buy and Sell Signals
The Parabolic Grid Bot generates buy and sell signals based on the interaction between the price and the grid levels.
Trigger: The "Trigger" input determines which part of the candlestick is used to trigger a signal (wick, close, midpoint, or SWMA).
Confirmation: The "Confirm" input specifies how a signal is confirmed ('Reverse' or 'Touch').
Zones: The number of "Buy Zones" and "Sell Zones" determines the areas on the grid where buy and sell signals can be generated.
When the trigger condition is met within a buy zone and the confirmation criteria are satisfied, a buy signal is generated. Similarly, a sell signal is generated when the trigger and confirmation occur within a sell zone.
Secondary Signals
Secondary signals are generated when a regular buy or sell signal contradicts the prevailing sentiment. For example:
A buy signal in a bearish market (Sentiment = 'Short') would be considered a "secondary buy" signal.
A sell signal in a bullish market (Sentiment = 'Long') would be considered a "secondary sell" signal.
These secondary signals are visually represented on the chart using hollow triangles, differentiating them from regular signals (filled triangles).
While they can be interpreted as potential contrarian trade opportunities, secondary signals can also serve other purposes within a grid trading strategy:
Exit Signals: A secondary signal can suggest a potential shift in market sentiment or a weakening trend. This could be a cue to consider exiting an existing position, even if it's currently profitable, to lock in gains before a potential reversal
Risk Management: In a strong trend, secondary signals might offer opportunities for cautious counter-trend trades with controlled risk. These trades could utilize smaller position sizes or tighter stop-losses to manage potential downside if the main trend continues
Dollar-Cost Averaging (DCA): During a prolonged trend, the parabolic curve might generate multiple secondary signals in the opposite direction. These signals could be used to implement a DCA strategy, gradually accumulating a position at potentially favorable prices as the market retraces or consolidates within the larger trend
Secondary signals should be interpreted with caution and considered in conjunction with other technical indicators and market context. They provide additional insights into potential market reversals or consolidation phases within a broader trend, aiding in adapting your grid trading strategy to the evolving market dynamics.
Examples
Trigger=Wick, Confirm=Touch. Signals are generated when the wick touches the next gridline.
Trigger=Close, Confirm=Touch. Signals require the close to touch the next gridline.
Trigger=SWMA, Confirm=Reverse. Signals are triggered when the Symmetrically Weighted Moving Average reverse crosses the next gridline.
🧠THEORY AND RATIONALE 🧠
The innovative approach of the Parabolic Grid Bot can be better understood by first examining the limitations of traditional grid trading strategies and exploring how this indicator addresses them by incorporating principles of market cycles and dynamic price behavior
Traditional Grid Bots: One-Dimensional and Static
Traditional grid bots operate on a simple premise: they divide the price chart into a series of equally spaced horizontal lines, creating a grid of trading zones. These bots excel in ranging markets where prices oscillate within a defined range. Buy and sell orders are placed at these grid levels, aiming to profit from mean reversion as prices bounce between the support and resistance zones.
However, traditional grid bots face challenges in trending markets. As the market moves in one direction, the bot continues to place orders in that direction, leading to a stacking of positions. If the market eventually reverses, these stacked trades can be profitable, amplifying gains. But the risk lies in the potential for the market to continue trending, leaving the trader with a series of losing trades on the wrong side of the market
The Parabolic Grid Bot: Adding Dimensions
The Parabolic Grid Bot addresses the limitations of traditional grid bots by introducing two additional dimensions:
Acceleration (Second Dimension): This parameter introduces a second dimension to the grid, allowing it to tilt upwards or downwards to align with the prevailing market trend. A positive acceleration creates an upward-sloping grid, suitable for uptrends, while a negative acceleration results in a downward-sloping grid, ideal for downtrends. The magnitude of acceleration controls the steepness of the tilt, enabling you to fine-tune the grid's responsiveness to the trend's strength
Curvature (Third Dimension): This parameter adds a third dimension to the grid by introducing a parabolic curve. The curve's shape, ranging from gentle bends to sharp turns, is controlled by the curvature value. This flexibility allows the grid to closely mirror the market's evolving structure, potentially identifying turning points and trend reversals.
Mean Reversion in Trending Markets
Even in trending markets, the Parabolic Grid Bot can help identify opportunities for mean reversion strategies. While the grid may be tilted to reflect the trend, the buy and sell zones can capture short-term price oscillations or consolidations within the broader trend. This allows traders to potentially pinpoint entry and exit points based on temporary pullbacks or reversals.
Visualize and Adapt
The Parabolic Grid Bot acts as a visual aid, enhancing your understanding of market dynamics. It allows you to "see the curve" by adapting the grid to the market's patterns. If the market shows a parabolic shape, like an upward curve followed by a peak and a downward turn (similar to a head and shoulders pattern), adjust the Accel and Curve to match. This highlights potential areas of interest for further analysis.
Beyond Straight Lines: Visualizing Market Cycle
Traditional technical analysis often employs straight lines, such as trend lines and support/resistance levels, to interpret market movements. However, many analysts, including Brian Millard, contend that these lines can be misleading. They propose that what might appear as a straight line could represent just a small part of a larger curve or cycle that's not fully visible on the chart.
Markets are inherently cyclical, marked by phases of expansion, contraction, and reversal. The Parabolic Grid Bot acknowledges this cyclical behavior by offering a dynamic, curved grid that adapts to these shifts. This approach helps traders move beyond the limitations of straight lines and visualize potential support and resistance levels in a way that better reflects the market's true nature
By capturing these cyclical patterns, whether subtle or pronounced, the Parabolic Grid Bot offers a nuanced understanding of market dynamics, potentially leading to more accurate interpretations of price action and informed trading decisions.
⚠️ DISCLAIMER⚠️
This indicator utilizes a parabolic curve fitting approach to visualize potential support and resistance levels. The mathematical formulas employed have been designed with adaptability and scalability in mind, aiming to accommodate various assets and price ranges. While the resulting curves may visually resemble parabolas, it's important to note that they might not strictly adhere to the precise mathematical definition of a parabola.
The indicator's calculations have been tested and generally produce reliable results. However, no guarantees are made regarding their absolute mathematical accuracy. Traders are encouraged to use this tool as part of their broader analysis and decision-making process, combining it with other technical indicators and market context.
Please remember that trading involves inherent risks, and past performance is not indicative of future results. It is always advisable to conduct your own research and exercise prudent risk management before making any trading decisions.
🧠 BEYOND THE CODE 🧠
The Parabolic Grid Bot, like the other grid bots in this series, is designed with education and community collaboration in mind. Its open-source nature encourages exploration, experimentation, and the development of new grid trading strategies. We hope this indicator serves as a framework and a starting point for future innovations in the field of grid trading.
Your comments, suggestions, and discussions are invaluable in shaping the future of this project. We welcome your feedback and look forward to seeing how you utilize and enhance the Parabolic Grid Bot.
Flow IndicatorThe Flow Indicator is designed to help you identify potential breakout and reversal points by analysing market momentum, volume, and dynamic price zones. Here's how to effectively use this indicator in your trading:
1. Flow Zones
Flow High: This is the highest high over the specified Period. It acts as a resistance level.
Flow Low: This is the lowest low over the Period. It acts as a support level.
Flow Mid: The midpoint between Flow High and Low, acting as a pivot or balance point for price action.
2. Momentum Flow and Volume Pressure
Momentum: Calculated using the RSI, this helps you gauge the strength of the current price move.
Volume Pressure: The moving average of volume helps you understand the level of market participation.
3. Energy Surge
Energy Surge: This proprietary calculation combines momentum and volume pressure to identify potential "energy surges" in the market. When these surges occur, the market is likely to make a significant move.
Energy Multiplier: This input allows you to adjust the sensitivity of energy surges. Higher values make the indicator less sensitive, while lower values increase sensitivity.
4. Buy and Sell Signals
Buy Signal: A buy signal is generated when an energy surge crosses above the specified energyMultiplier and the price is above the Flow Mid. This indicates potential upward momentum with strong market participation.
Sell Signal: A sell signal is generated when an energy surge crosses above the energyMultiplier and the price is below the Flow Mid. This indicates potential downward momentum with strong market participation.
5. Visual Cues
Flow Zones: The indicator plots the Flow High, Low, and Mid lines on your chart. These help you identify key levels where price action is likely to react.
Energy Surge Histogram: The energy surge is plotted as a histogram, showing when these surges occur.
Background Colours: When a buy signal is generated, the background turns green, indicating a potential buy zone. Similarly, when a sell signal is generated, the background turns red, indicating a potential sell zone.
6. Practical Application
Trend Continuation: Use buy signals when the price is above the Flow Mid and the market is in an uptrend. Similarly, use sell signals when the price is below the Flow Mid and the market is in a downtrend.
Reversals: If a signal occurs near the Flow High or Low, it could indicate a reversal. For instance, if a buy signal is generated near the Flow Low, it could signal a reversal from a support level.
Breakouts: Watch for signals that occur as the price breaks through the Flow High or Low. These can indicate strong breakout opportunities.
7. Customisation
Flow Period: Adjust this setting to change the sensitivity of the Flow Zones. Shorter periods will react more quickly to recent price changes, while longer periods will provide more stable zones.
Momentum Period: This controls the sensitivity of the RSI-based momentum calculation. Shorter periods react faster, while longer periods smooth out the momentum.
Volume Period: This setting controls how the volume pressure is calculated. Adjust it based on the timeframe and market you're trading.
Energy Multiplier: Customise this to fine-tune the energy surge signals. Higher multipliers filter out weaker surges, focusing only on the strongest movements.
Dynamic Bollinger Bands with Momentum and Volume (DBBMV)Overview
The Dynamic Bollinger Bands with Momentum and Volume (DBBMV) indicator enhances the traditional Bollinger Bands by dynamically adjusting their width and position based on momentum and volume. This provides a more responsive and context-aware indication of price volatility and potential reversals.
Key Features
Momentum Adjusted Bands: Adjusts the bands' width based on the momentum indicator, reflecting the rate of change in price.
Volume Weighted Bands: Further adjusts the bands based on trading volume to reflect market activity and price volatility.
Signal Alerts: Provides buy and sell signals based on price action relative to the dynamic bands, helping traders identify entry and exit points.
Customizable Parameters: Allows users to adjust the lookback period, momentum sensitivity, and volume weighting for personalized analysis.
How It Works
The DBBMV indicator starts with the traditional Bollinger Bands, which are calculated using a moving average and standard deviation of the selected price source. The width of these bands is then adjusted based on the momentum of the price, making them more sensitive to price changes. Further adjustments are made based on trading volume, which ensures that the bands accurately reflect current market conditions. This results in a set of dynamic Bollinger Bands that provide more nuanced insights into price volatility and potential reversals.
Usage Instructions
Identify Volatile Periods: Use the dynamically adjusted bands to identify periods of high and low volatility in the market.
Spot Reversals: Look for buy signals when the price crosses above the lower band and sell signals when the price crosses below the upper band.
Adjust Sensitivity: Customize the lookback period, momentum sensitivity, and volume weighting to fine-tune the indicator to your specific trading strategy and market conditions.
Enhance Analysis: Combine the DBBMV indicator with other technical analysis tools for a more comprehensive market analysis.
Volume Confirmation: Use the volume-weighted adjustments to confirm the strength of price movements and potential breakouts.
The Dynamic Bollinger Bands with Momentum and Volume (DBBMV) indicator provides traders with a powerful tool to understand market dynamics better and make informed trading decisions based on adjusted volatility and market activity.
Quarterly H/L [Dango]Introducing the Quarterly High and Low Indicator, a powerful and original tool designed to enhance your understanding of price action by identifying key turning points within quarterly cycles. This innovative script accurately determines the most significant highs and lows in each quarter, providing valuable insights for traders.
Key Features:
- Identifies and displays quarterly highs and lows on 90-minute, daily, weekly, monthly, and yearly timeframes
- Employs advanced algorithms and a deep understanding of cycle theory to precisely pinpoint key turning points
- Accounts for subtle nuances in price action and market dynamics
- Intended to be used in conjunction with the Quarterly Cycles Indicator for further confluence
How It Works:
The Quarterly High and Low Indicator utilizes a proprietary algorithm to meticulously analyze price action within each quarter. This advanced formula takes into account multiple factors, such as price momentum, volatility, and volume, to accurately identify the most significant high and low points.
The script employs a multi-step process to determine the quarterly highs and lows:
1. Cycle Isolation: The indicator first isolates the price action within each quarter, focusing on the specific time frame being analyzed (90-minute, daily, weekly, monthly, or yearly).
2. Momentum Analysis: The script then analyzes the price momentum within each quarter, identifying periods of strong bullish or bearish sentiment. This helps to narrow down potential high and low points.
3. Volatility and Volume Confirmation: To further refine the identification of key turning points, the indicator assesses the volatility and volume characteristics surrounding potential highs and lows. Significant changes in volatility and volume often accompany important price reversals.
4. Proprietary Scoring System: The algorithm assigns scores to each potential high and low point based on a proprietary scoring system. This system takes into account the confluence of momentum, volatility, and volume factors to determine the most significant turning points within each quarter.
The Quarterly High and Low Indicator visually represents these key turning points on the chart, enabling traders to easily identify potential support and resistance levels, trend reversals, and optimal entry and exit points. By focusing on the most significant price levels within each quarter, the indicator helps traders cut through the noise and make more informed trading decisions.
Expected Usage:
The Quarterly High and Low Indicator is designed to be a valuable tool for traders seeking to gain a deeper understanding of price action and market dynamics. By mapping out the most significant high and low points within each quarter, the indicator provides users with key levels to watch for potential trend reversals, support, and resistance.
1. Identifying Pivots and Reversals: The quarterly highs and lows identified by the indicator serve as critical levels where price is more likely to pivot or reverse. Traders can use these levels to anticipate potential trend changes and adjust their trading strategies accordingly.
2. Backtesting and Historical Analysis: The indicator enables traders to analyze historical price action and assess how the market has reacted to quarterly high and low levels in the past. By backtesting their strategies using these key levels, traders can gain valuable insights into the effectiveness of their approach and make data-driven refinements.
3. Support and Resistance: Quarterly highs and lows often act as significant support and resistance levels. Traders can use the indicator to identify these key areas and plan their trades around them. For example, if price approaches a quarterly high, traders may watch for potential selling pressure and consider taking profits or initiating short positions.
4. Confirmation and Confluence: The Quarterly High and Low Indicator can be used in conjunction with other technical analysis tools to confirm trade setups and increase confidence in trading decisions. When multiple indicators or analysis techniques align with the quarterly highs and lows, it provides a stronger signal for potential trade entry or exit points.
5. Risk Management: By understanding the location of quarterly highs and lows, traders can make more informed decisions about stop-loss placement and position sizing. Setting stop-losses beyond these key levels can help mitigate the risk of getting stopped out prematurely due to short-term price fluctuations.
6. Combining with the Quarterly Cycles Indicator: The Quarterly High and Low Indicator is intended to be used alongside the Quarterly Cycles Indicator for further confluence and validation. By analyzing the relationship between the identified quarterly highs and lows and the underlying quarterly cycles, traders can gain a more comprehensive understanding of market dynamics and potential turning points. When the quarterly highs and lows align with the key phases of the quarterly cycles, it provides a stronger signal for potential trend changes and trading opportunities.
Incorporating the Quarterly High and Low Indicator into a trading strategy, along with the Quarterly Cycles Indicator, allows traders to develop a more comprehensive understanding of price action and make better-informed decisions. By backtesting and analyzing how price reacts around these key levels and cycles, traders can refine their approach and potentially improve their trading outcomes.
Limitations and Disclaimer:
While the Quarterly High and Low Indicator is a powerful tool, it should not be used in isolation. Traders should combine the insights gained from this indicator with other forms of analysis, such as the Quarterly Cycles Indicator, fundamental analysis, risk management, and sound trading psychology, to develop a well-rounded and effective trading approach.
Please note that the indicator's accuracy may be impacted by extreme market volatility or unusual events, and quarterly highs and lows should not be relied upon in isolation. As with any trading tool, individual results may vary, and past performance does not guarantee future outcomes. Traders should always exercise caution, use appropriate risk management techniques, and continuously educate themselves to adapt to changing market conditions.
This indicator is provided for educational purposes only and should not be considered financial advice. Always conduct your own due diligence and consult with a financial professional before making any trading decisions.
Privacy of Code:
The underlying logic and specific calculations used in the proprietary algorithm are not disclosed to protect the intellectual property of the script. The advanced formula and scoring system used to identify quarterly highs and lows are the result of extensive research, testing, and refinement. By keeping these details confidential, the script maintains its competitive edge and ensures the protection of its intellectual property.
Standardized Orderflow [AlgoAlpha]Introducing the Standardized Orderflow indicator by AlgoAlpha. This innovative tool is designed to enhance your trading strategy by providing a detailed analysis of order flow and velocity. Perfect for traders who seek a deeper insight into market dynamics, it's packed with features that cater to various trading styles. 🚀📊
Key Features:
📈 Order Flow Analysis: At its core, the indicator analyzes order flow, distinguishing between bullish and bearish volume within a specified period. It uses a unique standard deviation calculation for normalization, offering a clear view of market sentiment.
🔄 Smoothing Options: Users can opt for a smoothed representation of order flow, using a Hull Moving Average (HMA) for a more refined analysis.
🌪️ Velocity Tracking: The indicator tracks the velocity of order flow changes, providing insights into the market's momentum.
🎨 Customizable Display: Tailor the display mode to focus on either order flow, order velocity, or both, depending on your analysis needs.
🔔 Alerts for Critical Events: Set up alerts for crucial market events like crossover/crossunder of the zero line and overbought/oversold conditions.
How to Use:
1. Setup: Easily configure the indicator to match your trading strategy with customizable input parameters such as order flow period, smoothing length, and moving average types.
2. Interpretation: Watch for bullish and bearish columns in the order flow chart, utilize the Heiken Ashi RSI candle calculation, and look our for reversal notations for additional market insights.
3. Alerts: Stay informed with real-time alerts for key market events.
Code Explanation:
- Order Flow Calculation:
The core of the indicator is the calculation of order flow, which is the sum of volumes for bullish or bearish price movements. This is followed by normalization using standard deviation.
orderFlow = math.sum(close > close ? volume : (close < close ? -volume : 0), orderFlowWindow)
orderFlow := useSmoothing ? ta.hma(orderFlow, smoothingLength) : orderFlow
stdDev = ta.stdev(orderFlow, 45) * 1
normalizedOrderFlow = orderFlow/(stdDev + stdDev)
- Velocity Calculation:
The velocity of order flow changes is calculated using moving averages, providing a dynamic view of market momentum.
velocityDiff = ma((normalizedOrderFlow - ma(normalizedOrderFlow, velocitySignalLength, maTypeInput)) * 10, velocityCalcLength, maTypeInput)
- Display Options:
Users can choose their preferred display mode, focusing on either order flow, order velocity, or both.
orderFlowDisplayCond = displayMode != "Order Velocity" ? display.all : display.none
wideDisplayCond = displayMode != "Order Flow" ? display.all : display.none
- Reversal Indicators and Divergences:
The indicator also includes plots for potential bullish and bearish reversals, as well as regular and hidden divergences, adding depth to your market analysis.
bullishReversalCond = reversalType == "Order Flow" ? ta.crossover(normalizedOrderFlow, -1.5) : (reversalType == "Order Velocity" ? ta.crossover(velocityDiff, -4) : (ta.crossover(velocityDiff, -4) or ta.crossover(normalizedOrderFlow, -1.5)) )
bearishReversalCond = reversalType == "Order Flow" ? ta.crossunder(normalizedOrderFlow, 1.5) : (reversalType == "Order Velocity" ? ta.crossunder(velocityDiff, 4) : (ta.crossunder(velocityDiff, 4) or ta.crossunder(normalizedOrderFlow, 1.5)) )
In summary, the Standardized Orderflow indicator by AlgoAlpha is a versatile tool for traders aiming to enhance their market analysis. Whether you're focused on short-term momentum or long-term trends, this indicator provides valuable insights into market dynamics. 🌟📉📈
Liquidation Volume (Zeiierman)█ Overview
The Liquidation Volume (Zeiierman) indicator highlights real-time long and short liquidations across all timeframes on TradingView. The indicator assists traders in identifying potential liquidation points in the market based on volume and price movements. Liquidation, in this context, refers to the forced closure of a trader's position due to insufficient margin in their account to support open positions, often occurring during significant price movements.
█ How It Works
The indicator operates primarily through the computation of a MomentumAdjustedPrice function, which is applied to volume-weighted prices (open, high, low, close) adjusted for volatility.
█ How to Use
Identifying Support and Resistance Levels: Liquidation data can provide valuable insights into key market levels where significant trading activities occur. These levels often act as support or resistance in the price chart. Support levels are typically where an asset's price finds a floor, as buying interest is significant enough to outweigh selling pressure. Conversely, resistance levels are where an asset's price may find a ceiling, with selling interest outweighing buying pressure. By analyzing liquidation data, traders can identify these critical points.
Start of a New Trend:
The initiation of a new trend can often be identified by a significant shift in liquidation volumes near breakout levels.
Trend Continuations:
Trend continuations are periods where the current trend is sustained and further confirmed by liquidation patterns. For example, in an uptrend, continuous short liquidations might occur, suggesting that the trend is strong and likely to persist as bearish traders keep getting squeezed out. In a downtrend, continuous long liquidations can serve as confirmation that the trend is still in place. Recognizing these patterns in liquidation data can help traders to stay aligned with the prevailing trend and avoid premature exits or entries against the trend.
Trend Reversals: Patterns in liquidations can be crucial in signaling potential trend reversals. A sudden and significant change in liquidation volumes—like a spike in long liquidations during a downtrend or short liquidations during an uptrend—can indicate that the current trend is losing steam and a reversal may be imminent. This information can be particularly useful for traders looking to anticipate market turns and adjust their strategies accordingly.
Spot Potential Liquidation Points: By observing the liquidation candles and their colors, traders can identify where large liquidations are likely occurring, signaling potential market turning points.
Understand Market Sentiment: Changes in liquidation volumes can provide insights into bullish or bearish sentiment, helping traders gauge the market mood. By observing liquidation patterns and clusters, traders can get insights into prevailing market sentiments and emerging trends.
█ Settings
Liquidation Source: Allows selection between 'Price' and 'Volume' for liquidation analysis.
Volume Period: Determines the period over which volume is averaged.
Volatility Period: Sets the length for calculating standard deviation, influencing the volatility measure.
Candle Display Toggle: Enables or disables the display of liquidation candles on the chart.
Threshold: Sets the level at which liquidation bars are triggered.
-----------------
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!
OBV Oscillator Volume FilterOBV Oscillator Volume Filter
Introduction
The On-Balance Volume (OBV) is a widely-used technical indicator that aims to relate price and volume in trading. Price and volume are two of the most basic and yet crucial concepts in price movement. Together, they can reveal a lot about the instruments trends and the market's sentiment. This On Balance Volume (OBV) Oscillator incorporates enhanced features like a volume filter using a rolling window to detect outliers in accumulated volume, making it an advanced and more refined version of the standard OBV.
Interpreting the OBV Indicator
The primary function of the OBV is to accumulate volume. In simpler terms:
When the market closes higher than the previous candle, all of that candle's volume is considered 'up-volume'.
Conversely, when the market closes lower than the previous day, all of that candle's volume is considered 'down-volume'.
A rising OBV suggests that volume is being accumulated, indicating bullish market sentiment. A declining OBV, on the other hand, points to a bearish sentiment.
Features of the Script
1. Moving Averages Selection:
The script provides users with the option to select among six types of moving averages (EMA, DEMA, TEMA, SMA, WMA, HMA) to calculate the OBV. This feature offers flexibility and enables traders to choose an MA type they're most comfortable with or find the most effective.
2. Smoothing Option:
To reduce the inherent noise in the indicator, there's an option to apply smoothing. It uses a Simple Moving Average (SMA) to produce a clearer signal, making it easier for traders to interpret and respond to. If you don't want to use smoothing, just simply change the input length of smoothing to 1 in the settings.
3. Outlier Detection:
One of the standout features is the use of a rolling window to detect volume outliers. This ensures that the OBV only reacts to significant volume changes and isn't overly influenced by random spikes or drops. The volume filter is calculated based on a % of the highest OBV volume of X number of bars back. Users can adjust the time (# bars) and the sensitivity (%) of the volume filter. A longer timeperiode (# bars) and a higher % (sensitivity) in the settings result to less signals presented by the indicator.
4. Divergence Detection:
The script automatically highlights both regular and hidden divergences on the chart. Divergences can be a powerful signal of potential price reversals. This feature aids traders in spotting potential buy or sell opportunities based on divergences between price and OBV.
Regular Bullish Divergence: When the price makes lower lows, but the OBV makes higher lows.
Hidden Bullish Divergence: When the price makes higher lows, but the OBV makes lower lows.
Regular Bearish Divergence: When the price makes higher highs, but the OBV makes lower highs.
Hidden Bearish Divergence: When the price makes lower highs, but the OBV makes higher highs.
5. Alerts for Trend Reversals:
The script incorporates alerts that notify traders when the OBV indicates potential trend reversals. This feature can be instrumental in catching early entries or exits.
Disclaimer
It's crucial to understand that no single indicator should be used in isolation. To increase the probability of making accurate market predictions, always use the OBV Oscillator in conjunction with other indicators and tools. Remember that all trading involves risk, and it's possible to lose your invested capital. Always seek advice from a financial advisor before making any trading decisions. By enhancing the OBV with features like the volume filter, multiple MA types, smoothing, and divergence detection, this script becomes a potent tool in a trader's arsenal. Use it wisely, and always ensure to maintain proper risk management.
HILOCLOP AnalysisThe "HILOCLOP Analysis" indicator is designed to analyze price data based on different conditions and provide insights into market trends and patterns. Let's break down its features and understand its potential usefulness in trading:
Sample Length: The indicator allows the user to specify the sample length, which determines the number of bars or periods considered for the analysis. This parameter can be adjusted to capture short-term or long-term trends and patterns in the market.
Raw Up/Down Analysis: The indicator calculates the number of occurrences where the current price values (high, low, open, close) are higher or lower than their previous values. It provides separate counts for each price component. By visualizing these counts on the chart, traders can identify periods of upward or downward movement in the price data.
HICLOP Analysis: The indicator offers a color scheme option called "HICLOP," which determines the color of the plotted results. If the HICLOP analysis is enabled, the plots representing raw up/down counts will have different colors based on whether the current count is higher or lower than the previous count. This color coding helps traders quickly identify changes in price trends.
Unchecking this Box will Show the general trend.
Raw HICLOP Color Scheme
Trend Color Scheme
Analysis Up vs. Down: The indicator provides an option to analyze instances where all four price components (high, low, open, close) are higher or lower than their respective previous values. This analysis helps traders identify periods of strong upward or downward movement in the market.
Analysis High vs. Low: The indicator compares the number of occurrences where the current high is higher than the previous high and the current low is higher than the previous low. It provides insights into whether the market is experiencing higher highs or higher lows, which can help traders determine the strength of an upward or downward trend.
Analysis Open vs. Close: The indicator compares the number of occurrences where the current close is higher than the previous close and the current open is higher than the previous open. This analysis helps traders assess the relationship between opening and closing prices, providing insights into the strength of buying or selling pressure in the market.
The usefulness of the "HILOCLOP Analysis" indicator in trading depends on the specific trading strategy and the trader's preferences. Here are a few potential use cases:
Trend Identification: By analyzing the raw up/down counts and the HICLOP color scheme, traders can identify trends and changes in price momentum. Increasing raw up counts and corresponding color changes to positive values may indicate an upward trend, while increasing raw down counts and negative color changes may suggest a downward trend.
Confirmation of Breakouts: Traders often look for confirmation of breakouts from key levels or chart patterns. The "Analysis Up V Dn" feature can help identify instances where all four price components simultaneously confirm a breakout, indicating a potentially significant move in the market.
Trend Reversals: The "Analysis High V Low" and "Analysis Open V Close" features can provide insights into potential trend reversals. For example, if there are more higher highs than higher lows, it may indicate a weakening trend, potentially signaling a reversal or a correction.
Composite MomentumComposite Momentum Indicator - Enhancing Trading Insights with RSI & Williams %R
The Composite Momentum Indicator is a powerful technical tool that combines the Relative Strength Index (RSI) and Williams %R indicators from TradingView. This unique composite indicator offers enhanced insights into market momentum and provides traders with a comprehensive perspective on price movements. By leveraging the strengths of both RSI and Williams %R, the Composite Momentum Indicator offers distinct advantages over a simple RSI calculation.
1. Comprehensive Momentum Analysis:
The Composite Momentum Indicator integrates the RSI and Williams %R indicators to provide a comprehensive analysis of market momentum. It takes into account both the strength of recent price gains and losses (RSI) and the relationship between the current closing price and the highest-high and lowest-low price range (Williams %R). By combining these two momentum indicators, traders gain a more holistic view of market conditions.
2. Increased Accuracy:
While the RSI is widely used for measuring overbought and oversold conditions, it can sometimes generate false signals in certain market environments. The Composite Momentum Indicator addresses this limitation by incorporating the Williams %R, which focuses on the price range and can offer more accurate signals in volatile market conditions. This combination enhances the accuracy of momentum analysis, allowing traders to make more informed trading decisions.
3. Improved Timing of Reversals:
One of the key advantages of the Composite Momentum Indicator is its ability to provide improved timing for trend reversals. By incorporating both RSI and Williams %R, traders can identify potential turning points more effectively. The Composite Momentum Indicator offers an early warning system for identifying overbought and oversold conditions and potential trend shifts, helping traders seize opportunities with better timing.
4. Enhanced Divergence Analysis:
Divergence analysis is a popular technique among traders, and the Composite Momentum Indicator strengthens this analysis further. By comparing the RSI and Williams %R within the composite calculation, traders can identify divergences between the two indicators more easily. Divergence between the RSI and Williams %R can signal potential trend reversals or the weakening of an existing trend, providing valuable insights for traders.
5. Customizable Moving Average:
The Composite Momentum Indicator also features a customizable moving average (MA), allowing traders to further fine-tune their analysis. By incorporating the MA, traders can smooth out the composite momentum line and identify longer-term trends. This additional layer of customization enhances the versatility of the indicator, catering to various trading styles and timeframes.
The Composite Momentum Indicator, developed using the popular TradingView indicators RSI and Williams %R, offers a powerful tool for comprehensive momentum analysis. By combining the strengths of both indicators, traders can gain deeper insights into market conditions, improve accuracy, enhance timing for reversals, and leverage divergence analysis. With the added customization of the moving average, the Composite Momentum Indicator provides traders with a versatile and effective tool to make more informed trading decisions.
[E5 Trading] Setups & TrendsE5 Trading Setups & Trends helps traders identify buy and sell opportunities through established trading techniques, including proven trade setups, bullish and bearish trend reversal signals, price strength, stop-loss and take-profit guardrails, a real-time divergences confluence system, local support and resistance levels, and anchored volume-weighted average price features.
These powerful capabilities help traders of all experience levels build confluence to improve the probability of success for each trade.
Trade Setups
Select from one (1) of three (3) trade setups for LONG and SHORT signals: 1. Transition; 2. Momentum; 3. Phase Shift. All trade setups work on all timeframes.
Several factors impact the consistent accuracy of algorithm-based setups over a long duration.
Examples include volatile global markets, liquidity, and an evolving mix of retail and institutional participants in a specific asset.
Therefore, traders must have various trade setup options and signals available to help them identify confluence.
Traders should evaluate the accuracy of each trade setup under existing market conditions and select the best one.
Trade setup signals are just one feature to consider as part of a discretionary trading system and should not be considered as stand-alone buy and sell signals.
They can be used as an effective market screener to help the trader quickly narrow the playing field of tradeable assets based on current market conditions.
Traders should seek confluence among several indicator suite features before entering or exiting a trade.
Use the color selector boxes to change LONG and SHORT label colors.
Color Candles per Setup
Toggle (Color Candles per Setup) to change candle coloring based on LONG and SHORT signals generated by Trade Setups.
All candles after a LONG signal plot with Bull candle coloring until a SHORT signal generates.
All candles after a SHORT signal plot with Bear candle coloring until a LONG Signal generates.
Enabling this feature allows the trader to observe and interpret the price trends of the asset more easily.
Squeeze Filter
The Squeeze Filter eliminates all trade setups inside a low-volatility squeeze where trade setup signals are typically less reliable and where the future trend can be more challenging to determine.
This feature helps traders avoid potentially noisy signals, and instead focus on Squeeze Early Entry and Squeeze Breakout signals generated by the E5 Trading Squeezes and Breakouts indicator.
Disciplined traders who play squeeze breakout price action can perform well with this strategy as long as good risk management is practiced (i.e., responsible position-sizing and use of a stop-loss on every trade).
Toggle Squeeze Filter (On) to eliminate all trade setups inside a low-volatility squeeze.
Trend Reversal Signals
Trend Reversal Signals (R) identify the potential end of a local trend and the beginning of a new one. Default (On). Default drop-down (Potential Reversal).
All reversal signals are deemed POTENTIAL reversals until price action of the next one or two candles after the reversal signal confirms the reversal.
Reversal signals may be CONFIRMED MANUALLY by a simple method described below or CONFIRMED AUTOMATICALLY using the Trend Reversal Signals drop-down menu.
To manually confirm a potential bullish reversal, the close of the 1st or 2nd candle following the reversal candle must be greater than the high (wick) of the reversal candle.
To manually confirm a potential bearish reversal, the close of the 1st or 2nd candle following the reversal candle must be less than the low (wick) of the reversal candle.
To use automated confirmation capabilities, select either "1-Candle Confirmed" or "2-Candle Confirmed" from the drop-down menu.
Selecting "1-Candle Confirmed" will result in any potential reversal signal (R) updating to a faded/transparent reversal signal (R) if not confirmed by the next candle only.
Sometimes there is market indecision (i.e., sideways price action) after a potential reversal signal, requiring the use of a 2nd candle to confirm the reversal.
Selecting "2-Candle Confirmed" will result in any potential reversal signal (R) updating to a faded/transparent reversal signal (R) if not confirmed by the next one or two candles.
"Reversals Sensitivity" drop-down to provide three (3) sensitivity levels for reversal signals.
The available drop-down options are: "Less Signals", "Default", and "More Signals".
"Less Signals" decreases the number of Potential Reversals compared to Default, and "More Signals" increases the number of Potential Reversals compared to Default.
This feature provides more opportunities to play reversals while still helping to eliminate all non-actionable reversal signals using the auto-confirmation capability.
Play the probabilities and avoid fake-outs: IGNORE any reversal signal not confirmed by the above method.
Use the color selector boxes to change the bullish and bearish reversal signal colors.
Price Strength
Price Strength Signals were designed to flag the onset of potentially explosive price moves based on market conditions and price action. Default (Off).
Bull price strength default (large triangles with bull candle coloring).
Bear price strength default (large triangles with bear candle coloring).
Dynamic Stop-Loss (SL) | Take-Profit (TP) Guardrails
This feature helps traders to effectively time trade entries/exits, automate the calculation of stop-loss | take-profit levels, and stay in trades while price action remains inside its calculated normal volatility range.
Due to its dynamic real-time update capability and utility as a trailing stop-loss | take-profit automation tool, this feature can be a powerful addition to both manual and algorithm (i.e., bot-based) trading systems.
Toggle (SL | TP Guardrails) to view dynamic stop-loss | take-profit levels based on user-defined Length and Multiple settings.
Define the Length (default: 14) and Multiple (default: 1.5) to establish the desired dynamic stop-loss | take-profit parameters.
Use the color selector boxes to change the Stop-Loss and Take-Profit guardrail colors.
A simple example trading technique using this feature is to go long when the guardrail transitions from being above price action (i.e., resistance) to below price action (i.e., support). Vice versa for short trades.
Traders monitoring a manual trade can move their stop-loss | take-profit level based on the calculated bull or bear guardrail.
Traders using a 3rd-party bot-trading platform can set up a webhook within a TradingView alert to automate their trade based on price action crossing the dynamic stop-loss | take-profit threshold.
Real-Time Divergences Confluence
Divergences occur when a technical indicator, like an oscillator, moves in the opposite direction of price.
They often serve as an early warning of a trend reversal (via regular divergence signals) or trend continuation (via hidden divergence signals).
Divergences flag in real-time directly on the price chart and provide a strength rating (1 to 6) based on the number of oscillators that simultaneously detect a divergence.
Bullish divergences flag below price action and bearish divergences flag above price action to help traders detect potential trend reversals (regular divergences) or trend continuations (hidden divergences).
This indicator evaluates a total of six (6) oscillators simultaneously to identify divergences compared to price action.
Each divergence is assigned a strength rating (1 to 6) based on the number of oscillators that simultaneously detect a divergence.
The real-time nature of the divergences will cause the divergence line to re-plot with each successive candle until the divergence confirms at the end of the trend.
The divergence strength rating will also continuously update with each successive candle based on the number of divergences detected at that time.
When the divergence confirms, the divergence line and label on the chart will update from a lighter/transparent shade to a darker/opaque shade.
Use the color selector to change label and line colors.
Use line selector to change the line style. Default (solid line).
Toggle (Regular Divergence (Bull)) to display regular bullish divergences. Default (Off).
Toggle (Regular Divergence (Bear)) to display regular bearish divergences. Default (Off).
Toggle (Hidden Divergence (Bull)) to display hidden bullish divergences. Default (Off).
Toggle (Hidden Divergence (Bear)) to display hidden bearish divergences. Default (Off).
Local Support | Resistance
Local Support and Resistance levels are calculated automatically based on price action and represent supply and demand zones to help traders establish buy and sell targets, stop-loss, and take-profit levels.
Awareness of key support and resistance levels is critical for developing a trading plan, trading level-by-level, and avoiding unnecessary risk (e.g., longing into resistance or shorting into support).
Local Support and Resistance levels are especially useful when combined with other indicator suite features to identify confluence.
Toggle (Local Support | Resistance) to display key support and resistance levels. Default (Off).
Anchored Volume-Weighted Average Price (AVWAP)
Anchored Volume-Weighted Average Price (AVWAP) helps traders determine the fair market value of an asset based on the volume-weighted average price over a user-specified period.
This fair market value can establish areas of support and resistance on the chart with the idea that price is attracted back to the fair market value over time. Default (Off).
The AVWAP line then serves as a critical support | resistance level that price action will eventually test.
Select the AVWAP source from the drop-down box. Default (hlc3) which means (High + Low + Close) / 3. Use the color selector box to change the color of the AVWAP line.
AVWAP Start (Option 1): Use the date and time selectors to select the Start position of the AVWAP line.
AVWAP Start (Option 2): Change the AVWAP Start position directly on the chart by moving the vertical line that appears to a specific candle (e.g., pivot high, pivot low, day/week start).
First, click on the AVWAP line, then drag the vertical AVWAP position line on the chart to the desired candle.
Toggle (AVWAP Support | Resistance) to display a horizontal support | resistance zone based on the current Anchored Volume-Weighted Average Price.
When price action is above the AVWAP, the horizontal AVWAP support | resistance zone acts as support with bullish zone coloring.
When price action is below the AVWAP, the horizontal AVWAP support | resistance zone acts as resistance with bearish zone coloring.
