OBV based on Heikin-AshiDescription
This indicator calculates the On-Balance Volume (OBV) based on Heikin-Ashi candles rather than regular candlesticks.
OBV based on Heikin-Ashi: The OBV is calculated based on Heikin-Ashi candle trends. Volume is added when the Heikin-Ashi close is above the open (bullish) and subtracted when the close is below the open (bearish).
Volume Analysis: This approach helps traders identify significant volume shifts in a smoother trend environment, reducing market noise that often accompanies traditional candlestick charts.
説明
このインジケーターは、通常のローソク足ではなく、平均足（Heikin-Ashi）を基にオンバランス・ボリューム（OBV）を計算します。
平均足に基づくOBV: OBVは、平均足のトレンドに基づいて計算されます。平均足の終値が始値を上回った場合（陽線）は出来高が加算され、終値が始値を下回った場合（陰線）は出来高が減算されます。
出来高分析: この手法により、通常のローソク足チャートで発生するノイズを軽減し、滑らかなトレンド環境で重要な出来高の変化を把握できます。
成交量
Advanced Supply and Demand Indicator# Advanced Supply and Demand Indicator
This Pine Script™ indicator helps traders identify potential supply and demand zones in financial markets. It uses price action, volume, and historical data to plot these zones on your chart, providing valuable insights for trading decisions.
## Key Features:
- Automatically detects and plots supply and demand zones
- Customizable lookback period for zone identification
- Adjustable strength multiplier for more precise zone detection
- User-defined opacity for visual clarity
- Combines price action and volume analysis for improved accuracy
## How It Works:
1. Identifies significant price levels using a specified lookback period
2. Analyzes volume data to confirm potential supply and demand zones
3. Plots supply zones in red and demand zones in green
4. Displays the current price for easy reference
## Customization Options:
- Lookback Period: Adjust the historical data range (1-100 bars)
- Zone Strength Multiplier: Fine-tune the sensitivity of zone detection (1.0-3.0)
- Zone Opacity: Set the transparency of plotted zones (10-100%)
This indicator is designed to help traders identify potential areas of support and resistance, allowing for more informed entry and exit decisions in their trading strategies.
TrendWave EMA/VWAP IndicatorThe TrendWave EMA/VWAP Indicator is a powerful technical analysis tool designed for traders seeking to enhance their market strategies. By combining the dynamic Exponential Moving Average (EMA) and the Volume Weighted Average Price (VWAP), this indicator provides valuable insights into price trends and potential trading signals, allowing for informed decision-making in various market conditions.
Key Features:
Exponential Moving Average (EMA):
The EMA component helps traders identify the direction of the prevailing trend by giving more weight to recent price action. This responsiveness makes the EMA an essential tool for trend-following strategies.
Customizable Length: Users can adjust the EMA length (default set to 50 periods) to align with their specific trading style and preferences.
Volume Weighted Average Price (VWAP):
The VWAP is crucial for evaluating the average price of a security throughout the trading day, factoring in volume. It serves as a benchmark for price action and can help traders identify significant support and resistance levels.
Real-time Benchmarking: The VWAP enables traders to assess current prices against historical averages, improving their entry and exit strategies.
Signal Generation:
The TrendWave EMA/VWAP Indicator generates clear buy and sell signals based on the interaction between the price and the VWAP:
Bullish Signal: Triggered when the price crosses above the VWAP, indicating a potential upward movement.
Bearish Signal: Triggered when the price crosses below the VWAP, suggesting a potential downward movement.
These signals are visually represented with intuitive arrows on the chart, facilitating quick recognition of trading opportunities.
User-Friendly Interface:
The indicator allows traders to enable or disable components (EMA and VWAP) based on their preferences, ensuring a personalized trading experience.
Clear color coding enhances visual clarity: the EMA is displayed in blue, while the VWAP is shown in orange.
Use Cases:
Trend Following: Use the EMA to confirm the direction of the trend and make trades that align with that trend.
Price Action Analysis: Employ the VWAP to determine the average trading price and identify key support/resistance levels.
Signal Confirmation: Combine signals from both the EMA and VWAP to enhance trading strategies and decision-making.
The TrendWave EMA/VWAP Indicator is an essential addition to any trader's toolkit. By leveraging the strengths of both the EMA and VWAP, this indicator empowers traders to make informed, data-driven decisions and capitalize on market movements with confidence.
Velocity/Volatility/Volume StrategyThe "Vel/Vty/Vol Strategy" is a momentum-based trading approach designed to take advantage of strong price movements that are confirmed by both volatility and volume (if enabled). It provides a high level of customization, allowing traders to adjust various settings based on market conditions and individual preferences. By combining three critical indicators—velocity, volatility (measured through Bollinger Band Width), and an optional volume filter—the strategy generates trade signals for both long and short positions. Here’s a comprehensive explanation of how the strategy works, how the parameters can be customized, and how those adjustments benefit users.
At its core, the strategy focuses on velocity, which measures the speed at which price is changing over time. This is a key indicator of momentum, with a "StrongUp" signal indicating bullish momentum and a "StrongDown" signal suggesting bearish momentum. In addition to velocity, the strategy factors in acceleration, which helps gauge whether momentum is building or weakening. The second essential component is Bollinger Band Width (BBW), which measures volatility in the market. When the BBW expands, it signals increasing volatility, a condition that must be met in combination with a velocity signal to generate a trade. Lastly, the strategy includes an optional Volume Oscillator to filter trades. When this volume filter is enabled, trades will only be executed if there’s an increase in volume, further validating market activity.
The strategy generates long and short trade signals based on specific conditions. A long trade is triggered when there is a strong upward velocity, accompanied by an increase in Bollinger Band Width, indicating both momentum and heightened volatility. If the volume filter is toggled on, a rise in volume must also confirm the signal. Similarly, a short trade is initiated when a strong downward velocity is detected, again paired with an increase in volatility and, optionally, a volume rise. This ensures that trades occur during periods of heightened market activity, reducing the likelihood of false signals.
To help manage risk, the strategy includes several customizable tools. Users can set take profit levels to automatically close positions and lock in gains once a predefined profit percentage is reached. For example, if a 2% take profit is set, a long position will be closed once the price has risen by 2%. Additionally, a trailing take profit option can be enabled, allowing the strategy to dynamically adjust the take-profit target as the market moves in the user’s favor. This ensures that profits are locked in as long as the market continues to trend positively, while providing protection in case of a reversal. The strategy also includes a trailing stop-loss feature, which adjusts the stop price as the market moves in favor of the trade, helping to minimize losses and protect gains.
The strategy offers a variety of parameters that can be customized to suit different trading styles and market conditions. The velocity lookback period controls how far back the strategy looks to calculate velocity. A shorter lookback makes the strategy more sensitive to recent price changes, generating more signals, which can benefit day traders or those seeking to capture short-term price swings. Conversely, a longer lookback smooths out the velocity calculation, reducing false signals and making the strategy more suitable for traders seeking to capture larger trends. Similarly, the Bollinger Band Width (BBW) length can be adjusted to control how far back the strategy looks to calculate volatility. A shorter BBW length makes the strategy more sensitive to volatility spikes, useful in rapidly changing markets. In contrast, a longer BBW length filters out short-term noise and focuses on more sustainable volatility shifts, better suited for slower, more stable markets.
The volume filter is another powerful feature that can be toggled on or off. When turned on, the strategy will only execute trades if there is an increase in volume alongside velocity and volatility signals. This helps filter out false signals in low-volume markets, ensuring that price movements are supported by actual market activity. If the volume filter is turned off, the strategy focuses purely on price and volatility changes, which can be useful in markets where volume data is unreliable or less relevant.
The take profit percentage can be adjusted to define how aggressively or conservatively profits are locked in. A lower take profit percentage allows traders to capture smaller, quicker profits, which can be advantageous in volatile markets. A higher take profit percentage suits traders who prefer to capture larger moves, allowing them to stay in trades longer to benefit from extended trends. Similarly, the trailing take profit percentage determines how tightly the strategy follows market prices as they move in favor of the trade. A tighter trailing percentage ensures that profits are locked in quickly, while a wider trailing percentage gives trades more room to run, ideal for capturing large trends.
The stop loss percentage is another key setting that controls how much risk a trader is willing to take before the position is closed. A tighter stop loss minimizes losses but may result in more frequent stop-outs, particularly in volatile markets. A wider stop loss provides more room for trades to develop, which is useful for traders aiming to capture longer trends despite short-term fluctuations. Additionally, the velocity thresholds can be adjusted to set how sensitive the strategy is to price movements. Lower thresholds increase sensitivity, generating more signals in fast-moving markets, while higher thresholds filter out weaker signals, focusing on larger momentum shifts.
The strategy also allows users to define a time range during which it is active, offering flexibility in backtesting and optimizing for specific market conditions. By limiting the strategy to certain periods, users can tailor it to seasonal trends or historical data that matches their current trading environment.
The flexibility of this strategy makes it suitable for a wide range of traders. Day traders can benefit from adjusting the velocity and BBW lookback periods, tightening take profit and stop loss settings to capture short, fast price movements in highly volatile markets. Trend traders can lengthen the lookback periods and widen the velocity thresholds to capture larger, sustained moves while riding out short-term volatility. Traders with a lower risk tolerance can enable the volume filter and tighten stop losses to reduce false signals and minimize losses. On the other hand, aggressive traders can widen the take profit and trailing stop percentages to allow trades to develop fully, maximizing potential gains in trending markets.
Order Flow / Delta Volume IndicatorOrder Flow / Delta Volume Indicator
The Order Flow / Delta Volume Indicator is designed to give traders a comprehensive view of market activity by combining delta volume analysis, order flow imbalances, and momentum filters. This indicator is not just a mashup of components, but a carefully crafted tool that enhances decision-making by integrating various layers of market analysis into one powerful system.
How the Components Work Together:
1. Delta Volume Bars: The core of this indicator, delta volume shows the difference between buy and sell orders, allowing traders to see real-time shifts in market sentiment. Green bars indicate buy-side pressure, while red bars show sell-side dominance. By visualizing this in bar form, traders can easily spot significant shifts in order flow that could signal trend changes or momentum shifts.
2. Cumulative Delta Line (Rescaled): The cumulative delta is rescaled to plot under the price candles, giving traders a clear, contextualized view of how net buyer or seller dominance is developing over time. This line helps identify potential market reversals when price moves diverge from cumulative delta trends.
3. Order Flow Imbalance Detection: Imbalances in buy and sell volumes are automatically detected using a threshold, ensuring that traders are alerted to significant market moves. These imbalances provide insight into aggressive buying or selling behavior, which is crucial for identifying points of high trading activity or potential breakout/reversal zones.
4. VWAP Filter: Volume Weighted Average Price (VWAP) is included as a filter to confirm trend direction. The VWAP ensures that buy signals are only triggered when price action is above the VWAP (indicating strength), and sell signals are triggered when price is below the VWAP (indicating weakness). This ensures that signals are not just based on volume, but also on where price is relative to a critical benchmark.
5. RSI Filter: The inclusion of the Relative Strength Index (RSI) adds a momentum check to the signals. By using RSI, traders can avoid taking trades during low-momentum periods, ensuring they only act when market conditions favor a stronger move.
6. Signal Cooldown Feature: To avoid clutter and noise from frequent signals, this indicator includes a cooldown period between signals, ensuring that traders don’t receive excessive alerts in a short timeframe. This feature prevents overtrading and helps focus on high-quality signals.
Why This Combination is Useful:
• Comprehensive Market Insight: By combining delta volume analysis with order flow imbalance detection, this indicator provides a deep understanding of market sentiment, showing not only price movement but the underlying volume dynamics driving those moves.
• Signal Accuracy: The VWAP and RSI filters ensure that signals are only generated in strong market conditions, filtering out weak or false signals that often occur in choppy markets.
• Divergence Detection: The cumulative delta line provides traders with a tool for spotting divergences between price action and underlying volume, allowing for earlier detection of potential reversals.
This indicator is more than a simple combination of existing tools—it’s a strategic fusion of volume analysis, order flow, and momentum filters designed to provide traders with a clearer view of market activity and to generate more reliable buy/sell signals.
This description explains how the components work together and highlights the indicator’s usefulness, which should address TradingView’s concerns about originality and purpose.
Central Pivot Point Cross & Retrace Strategy // AlgoFyreThe Central Pivot Point Cross & Retrace Strategy uses pivot points for trend identification and trade entry. It combines accumulation/distribution indicators with pivot point levels to generate signals. The strategy incorporates dynamic position sizing based on a fixed risk amount and allows for both long and short positions with customizable stop-loss levels.
TABLE OF CONTENTS
🔶 ORIGINALITY
🔸Pivot Point-Based Trading
🔸Accumulation/Distribution
🔸Dynamic Position Sizing
🔸Customizable Risk Management
🔶 FUNCTIONALITY
🔸Indicators
🞘 Pivot Points
🞘 Accumulation/Distribution
🔸Conditions
🞘 Long Entry
🞘 Short Entry
🞘 Take Profit
🞘 Stop Loss
🔶 INSTRUCTIONS
🔸Adding the Strategy to the Chart
🔸Configuring the Strategy
🔸Backtesting and Practice
🔸Market Awareness
🔸Visual Customization
🔶 CONCLUSION
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🔶 ORIGINALITY The Central Pivot Point Cross & Retrace Strategy uniquely combines pivot point analysis with accumulation/distribution indicators to identify optimal entry and exit points. It employs dynamic position sizing based on a fixed risk amount, ensuring consistent risk management across trades. This approach allows traders to adapt to varying market conditions by adjusting position sizes according to predefined risk parameters, enhancing both flexibility and control in trading decisions. The strategy's integration of customizable stop-loss levels further refines its risk management capabilities.
🔸Pivot Point-Based Trading This strategy utilizes daily pivot points to identify key support and resistance levels, providing a framework for trend identification and trade entry. The central pivot point serves as the intraday point of balance between buyers and sellers, with the largest amount of trading volume assumed to take place in this area.
🔸Accumulation/Distribution The strategy incorporates the Accumulation/Distribution (A/D) line, an underrated volume-based indicator, to establish the main trend. The A/D line is used in conjunction with a trend based indicator like the 200-period Exponential Moving Average (EMA) to confirm trend direction and strength.
🔸Dynamic Position Sizing Position sizes are calculated dynamically based on a fixed risk amount, allowing traders to maintain consistent risk exposure across trades.
🔸Customizable Risk Management Traders can set flexible risk-reward ratios and adjust stop-loss and take-profit levels, tailoring the strategy to their risk tolerance and market conditions. The strategy recommends taking partial profits at S1 or R1 levels and moving the stop-loss to break-even for remaining positions.
🔶 FUNCTIONALITY The Central Pivot Point Cross & Retrace Strategy leverages pivot points and accumulation/distribution indicators to identify optimal trading opportunities. This strategy is designed to capitalize on price movements around key pivot levels by dynamically adjusting position sizes based on predefined risk parameters. It allows traders to manage risk effectively while taking advantage of both long and short positions.
🔸Indicators 🞘 Pivot Points: Calculates daily pivot points (PP, R1, R2, S1, S2) to identify key support and resistance levels. The central pivot point is crucial for determining market bias and entry points.
🞘 Accumulation/Distribution: Uses the A/D line and with a trend based indicator like the 200 EMA to determine market direction and trend strength. This combination helps eliminate noise and provides more reliable trend signals. We recommend using the Adaptive MAs (Hurst, CVaR, Fractal) // AlgoFyre , but any moving average could be used.
🔸Conditions 🞘 Long Entry: Initiates a long position when the price crosses above the central pivot point (PP), retraces back to it and the A/D line is above its 200 EMA, indicating an uptrend. A limit entry order is set at the PP for entering the long trade.
🞘 Short Entry: Initiates a short position when the price crosses below the central pivot point (PP), retraces back to it and the A/D line is below its 200 EMA, indicating a downtrend. A limit entry order is set at the PP for entering the short trade.
🞘 Take Profit: 50% of the position is closed as profit when R1 for Longs and S1 for Shorts is reached. The position is fully closed when R2 for Longs and S2 for Shorts is reached.
🞘 Stop Loss: Stop loss is set via strategy settings. When the first 50% take profit for both long and shorts is taken, stop loss for both will be moved to break-even/entry.
🔶 INSTRUCTIONS
The Central Pivot Point Cross & Retrace Strategy can be set up by adding it to your TradingView chart and configuring parameters such as the accumulation/distribution source, stop-loss percentage, and risk management settings. This strategy is designed to capitalize on price movements around key pivot levels by dynamically adjusting position sizes based on predefined risk parameters. Enhance the accuracy of signals by combining this strategy with additional indicators like trend-following or momentum-based tools. Adjust settings to better manage risk and optimize entry and exit points.
🔸Adding the Strategy to the Chart Go to your TradingView chart.
Click on the "Pine Editor" button at the bottom of the chart.
Copy and paste the strategy code into the Pine Editor.
Click "Add to Chart" to apply the strategy.
Add the technical indicator "Accumulation/Distribution" to the chart.
Add the trend indicator " Adaptive MAs (Hurst, CVaR, Fractal) // AlgoFyre " or any other MA to the chart and move it to the "Accumulation/Distribution" pane.
Set the source of your trend indicator to "Accumulation/Distribution".
🔸Configuring the Strategy Open the strategy settings by clicking on the gear icon next to its name on the chart.
Accumulation/Distribution Source: Select the source for the accumulation/distribution indicator.
Accumulation/Distribution EMA Source: Select the source for the trend indicator.
Stop Loss Percentage: Set the stop loss distance from the pivot point as a percentage.
Risk Amount: Define the fixed risk amount for position sizing.
Base Order Size: Set the base order size for position calculations.
Number of Positions: Specify the maximum number of positions allowed.
Time Frame: Adjust the time frame based on the currency pair or asset being traded (e.g., 15-minute for EUR/USD, 30-minute for GBP/USD).
🔸Backtesting and Practice Backtest the strategy on historical data to understand how it performs in various market environments.
Practice using the strategy on a demo account before implementing it in live trading.
Test different time frames and asset pairs to find the most suitable combinations.
🔸Market Awareness Keep an eye on market news and events that might cause extreme price movements. The strategy reacts to price data and might not account for news-driven events that can cause large deviations.
Remember that this strategy is not recommended for stocks due to the A/D line's inability to account for gaps in its calculation.
🔸Visual Customization Visualization Settings: Customize the display of entry price, take profit, and stop loss levels.
Color Settings: Switch to the AlgoFyre theme or set custom colors for bullish, bearish, and neutral states.
Table Settings: Enable or disable the information table and adjust its position.
🔶 CONCLUSION
The Central Pivot Point Cross & Retrace Strategy provides a robust framework for capitalizing on price movements around key pivot levels by combining pivot point analysis with accumulation/distribution indicators. This strategy leverages pivot point crossovers to identify entry points and utilizes the A/D line crossover with its 200 EMA for trend confirmation, ensuring trades align with prevailing market conditions. By incorporating dynamic position sizing based on a fixed risk amount, traders can effectively manage risk and adapt to varying market conditions. The strategy's focus on trading around the central pivot point and its customizable stop-loss and take-profit levels further enhance its risk management capabilities, making it a versatile tool for both trending and ranging markets. With its strategic blend of technical indicators and risk management, the Central Pivot Point Cross & Retrace Strategy offers traders a comprehensive approach to optimizing trade execution and maximizing potential returns across various currency pairs and commodities.
Low Volume Supply and Demand by (MS Traders)"Low Volume Supply and Demand" is a custom TradingView indicator designed to help traders identify potential supply and demand zones based on low-volume candle patterns. This indicator highlights bullish and bearish candles with lower volume compared to the previous two candles, making them significant in identifying possible market reversals or continuation points.
Bullish (Demand): The indicator highlights bullish candles with lower volume than the previous two candles, suggesting a potential demand zone.
Bearish (Supply): The indicator highlights bearish candles with lower volume than the previous two candles, indicating a possible supply zone.
Volume TrendThis code defines a custom indicator called "Volume Trend" that aims to identify trends in price action based on volume changes. The indicator calculates a smoothed average of volume data and correlates it with price movements to determine potential support and resistance levels, which are then plotted on the chart. This helps traders make informed decisions about buying and selling based on volume trends.
Key Components and Functionalities:
Inputs:
len (Length): Defines the period for the Exponential Moving Average (EMA) calculation of the volume. This helps to smooth the volume data.
lb (Look Back): Determines how far back the indicator looks to calculate the highest and lowest price points in relation to volume changes.
smt (Smooth): Determines the smoothing level applied to the average of the highest and lowest points to create a smoother trend line.
Volume Analysis:
The script calculates an EMA of the volume using the specified length (len). This smoothed volume data is used to detect volume-based price movements.
Two variables, vl1 and vl2, are used to store the highest and lowest price points based on whether the current volume is higher or lower than the previous volume.
Price-Level Calculation:
The script computes an average of the highest and lowest price levels (vl1 and vl2), and then applies another EMA smoothing to create the final trend line (vl).
Color-Coding of the Trend Line:
Green (lime): When the trend line (vl) is below the current price, indicating a potential uptrend.
Red (red): When the trend line is above the current price, indicating a potential downtrend.
Yellow (yellow): When the trend line is at the same level as the current price, indicating a potential consolidation or neutral trend.
Plotting:
The smoothed trend line (vl) is plotted on the chart with color changes based on its relation to the current price (green for uptrend, red for downtrend, yellow for neutral).
Usage:
The Volume Trend indicator is designed to help traders analyze the relationship between volume and price trends. By plotting dynamic support and resistance levels based on volume changes, it allows traders to:
Identify potential uptrends or downtrends in price based on volume movements.
Spot possible consolidation areas where the price is neutral.
Make better decisions on when to enter or exit trades based on volume-driven price levels.
This indicator can be useful for both short-term and long-term traders who want to incorporate volume analysis into their trading strategies.
Advice:
If you choose the time setting 2 or 3 times higher than the graphics resolution, clearer visuals may appear.
Important Note:
This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Market Trades PinescriptlabsThis algorithm is designed to emulate the true order book of exchanges by showing the quantity of transactions of an asset in real-time, while identifying patterns of high activity and volatility in the market through the analysis of volume and price movements. 📈 Below, I explain how to understand and use the information provided by the chart, along with the trades table:
Identification of High Activity Zones 🚀
The algorithm calculates the average volume and the rate of price change to detect areas with spikes in activity. This is visualized on the chart with labels "Volatility Spike Buy" and "Volatility Spike Sell":
Volatility Spike Buy: Indicates an unusual increase in volatility in the buying market, suggesting a potential surge in buying interest. 🟢
Volatility Spike Sell: Signals an increase in volatility in the selling market, which may indicate selling pressure or a sudden massive sell-off. 🔴
Market Trades Table 📋
The table provides a detailed view of the latest trades:
Price: Displays the price at which each trade was executed. 💵
Quantity (Traded): Indicates the amount of the asset traded. 💰
Type of Trade (Buy/Sell): Differentiates between buy (Buy) and sell (Sell) operations based on volume and strength. 🔄
Date and Time: Refers to the start of the calculated trading candle. ⏰
Recency: Identifies the most recent trade to facilitate tracking of current activity. 🔍
Analysis of Trade Imbalance ⚖️
The imbalance between buys and sells is calculated based on the volume of both. This indicator helps to understand whether the market has a tendency toward buying or selling, showing if there is greater strength on one side of the market.
A positive imbalance suggests more buying pressure. 📊
A negative imbalance indicates greater selling pressure. 📉
Volume Presentation
Visualizes the volume of buying and selling in the market, allowing the identification of buying or selling strength through the size of the volume candle. 🔍
Español :
"Este algoritmo está diseñado para emular el verdadero libro de órdenes de los intercambios al mostrar la cantidad de transacciones de un activo en tiempo real, mientras identifica patrones de alta actividad y volatilidad en el mercado a través del análisis de volumen y movimientos de precios. 📈 A continuación, explico cómo entender y usar la información proporcionada por el gráfico, junto con la tabla de operaciones:"
Identificación de Zonas de Alta Actividad 🚀
El algoritmo calcula el volumen promedio y la velocidad de cambio de precio para detectar zonas con picos de actividad. Esto se visualiza en el gráfico con etiquetas de "Volatility Spike Buy" y "Volatility Spike Sell":
Volatility Spike Buy: Indica un incremento inusual de volatilidad en el mercado de compra, sugiriendo un posible interés de compra elevado. 🟢
Volatility Spike Sell: Señala un incremento de volatilidad en el mercado de venta, lo cual puede indicar presión de venta o una venta masiva repentina. 🔴
Tabla de Operaciones en el Mercado (Market Trades) 📋
La tabla proporciona una vista detallada de las últimas operaciones:
Precio: Muestra el precio al cual se realizó cada operación. 💵
Cantidad (Transaccionada): Indica la cantidad del activo transaccionada. 💰
Tipo de operación (Buy/Sell): Diferencia entre operaciones de compra (Buy) y de venta (Sell), dependiendo del volumen y fuerza. 🔄
Fecha y Hora: Refleja el inicio de la vela de negociación calculada. ⏰
Recency: Identifica la operación más reciente para facilitar el seguimiento de la actividad actual. 🔍
Análisis de Desequilibrio de Operaciones (Imbalance) ⚖️
El desequilibrio entre compras y ventas se calcula con base en el volumen de ambas. Este indicador ayuda a entender si el mercado tiene una tendencia hacia la compra o venta, mostrando si hay una mayor fuerza en uno de los lados del mercado.
Un desequilibrio positivo sugiere más presión de compra. 📊
Un desequilibrio negativo indica mayor presión de venta. 📉
Presentación en Volumen
Visualiza el volumen de compra y venta en el mercado, permitiendo identificar mediante el tamaño de la vela de volumen la fuerza, ya sea compradora o vendedora. 🔍
Multi Deviation VWAP [OmegaTools]The Multi Deviation VWAP is an original variation of the traditional VWAP indicator, designed to enhance your trading experience by providing more precise market insights. While the conventional VWAP calculates a single price level based on volume and price over a given period, the Multi Deviation VWAP goes a step further by introducing dynamic upper and lower bands that adapt to market conditions. These bands give traders a more comprehensive understanding of volatility and price action, making it an ideal tool for various trading strategies, especially for identifying potential price reversals or trend continuations.
Key Features:
Separate Calculation of Deviation Bands:
Unlike traditional VWAP bands, where both the upper and lower bands are symmetrically calculated using a single deviation value, the Multi Deviation VWAP calculates the deviations independently for the upper and lower bands. This allows for a more accurate reflection of market dynamics.
The upper deviation band is based on the average distance of closing prices above the VWAP, while the lower deviation band considers the average distance of closing prices below the VWAP.
This separation provides a more tailored approach, adapting to whether the market is showing bullish or bearish momentum, as opposed to a fixed, equal deviation in both directions.
Internal and External Bands:
Two sets of deviation bands are plotted: Internal Bands and External Bands, controlled by user inputs (factorone for internal and factortwo for external). These bands offer multiple levels of support and resistance based on market volatility.
The Internal Bands are closer to the VWAP and act as the first level of support/resistance, suitable for short-term or tighter trading ranges.
The External Bands are further from the VWAP and capture more significant market swings, useful for identifying larger trends or setting wider stop-losses.
Timeframe Flexibility:
The indicator allows traders to select the desired timeframe (1D by default) over which the VWAP and its deviation bands are calculated. This flexibility enables users to adapt the indicator to different trading styles, from intraday scalping to longer-term trend analysis.
Visual Enhancements:
Bullish and Bearish Colors: The bands are color-coded for quick visual interpretation. Bullish bands (lower deviations) are colored blue, while bearish bands (upper deviations) are colored red, making it easy to differentiate between market conditions at a glance.
Plot Fill: The area between the internal and external bands is shaded, providing clear visual zones of potential price containment, aiding in understanding the market structure and anticipating price movements.
How It Differs from a Standard VWAP:
Traditional VWAP provides a single price line that represents the volume-weighted average price over a given period, often used to identify general price trends.
In contrast, the Multi Deviation VWAP introduces upper and lower bands calculated separately based on price deviations above and below the VWAP, giving a more nuanced view of market volatility.
Symmetrical bands in traditional VWAP may not always accurately reflect the market's true behavior, especially in trending markets, where upward and downward price movements aren't always equal. By splitting the deviation calculations, this tool provides a more dynamic and realistic view of price action, adapting to whether the market is showing stronger upward or downward pressure.
Use Cases:
Trend Identification: The VWAP line acts as a central trend line, while the deviation bands offer levels of potential support and resistance. When price moves beyond the external bands, it may indicate overextension and potential reversal.
Volatility Trading: Traders can use the internal and external bands to set dynamic take-profit or stop-loss levels, allowing for flexible risk management depending on market conditions.
Range Trading: In consolidating markets, the Multi Deviation VWAP can help traders identify optimal buy and sell zones as the price oscillates between the upper and lower bands.
By incorporating independent deviation bands, this indicator provides traders with a more responsive tool that reflects market behavior more accurately, helping them make informed trading decisions with enhanced precision.
Liquidity Pools [LuxAlgo]The Liquidity Pools indicator identifies and displays estimated liquidity pools on the chart by analyzing high and low wicked price areas, along with the amount, and frequency of visits to each zone.
🔶 USAGE
Liquidity Pools are areas where smaller participants are likely to place stop-limit orders to manage risks at reasonable swing points. These zones attract institutional traders who use the pending orders as liquidity to enter larger positions, aiming to influence price movements. By monitoring these zones, traders can anticipate market movements and potentially benefit from these dynamics.
Beyond general liquidity theory, identifying zones consistently visited by price aids in using them as support and resistance zones. By analyzing these areas, we can assess how effectively participants enter or exit these zones, helping to gauge their importance.
In the screenshots below, we will explore both sides of the same chart in more detail to display how each zone could be viewed from a bullish and bearish perspective.
Bullish Zones Example:
Bearish Zones Example:
🔶 DETAILS
The method behind this indicator focuses on identifying a swing point and tracking future interactions with it. It adaptively identifies high and low "potential zones". These zones are monitored over time; if a zone meets the user-defined criteria, the script marks and displays these zones on the chart.
🔹 Identification
The method to identify Liquidity Pools in this indicator revolves around 3 main parameters. By utilizing these settings, the indicator can be tailored to produce zones that fit the specific strategic needs of each trader.
Zone Identification Parameters
Zone Contact Amount: This setting determines the number of times each zone must be in contact with the price (and bought or sold out of) before being identified by the indicator as a Liquidity Pool.
For example: When a zone is first displayed, it is considered as having been reached 1 time. When the zone is re-tested for the first time, this is considered the 2nd contact, since the price has seen the zone a total of 2 times.
Bars Required Between Each Contact: This is used to rule out (or in) consecutive candles reaching each zone from the calculation, adding a separation length between zone contact points to refine the zones produced.
For example: When set to "2", the first contact point (first re-test) will be ignored by the script if it is not at least 2 bars away from the initial zone proposal point.
Confirmation Bars: After a zone has reached the desired Contact Amount, this setting will cause the script to wait a specified number of bars before identifying a zone. While this might initially seem counterintuitive, by waiting, we are able to watch the market's reaction to the proposed zone and respond accordingly. If the price were to continue through the potential liquidity zone Immediately, it would not be logical to consider this area as a valid Liquidity Pool.
Displayed in this screenshot, you will see the specific points we are looking for in order to identify these zones.
🔹 Display
After a Liquidity Pool is identified, its boundary line is extended to the current price to keep it in view for reference. This extension will continue until the zone is mitigated (price has closed above or below the zone), after which it will stop extending.
Candles can optionally be colored when returning to the most recent Liquidity Pool if it is still unmitigated, and will only color after the zone is displayed on the chart. Because of this, if a candle is colored within a zone, then its color comes from being inside a previously unmitigated zone.
🔹 Volume
Each time a candle overlaps an Unmitigated Zone, a percentage of its volume will be accumulated to the total for each specific zone. The volume total is displayed on the right end of the extended boundary lines.
This volume data could help to determine the importance of specific zones based on the amount of volume traded within.
Note: This volume is fractional to the percentage of candles that are contained within the zone. If a candle is 50% within a zone, The zone will receive 50% of the candle's volume added to its current total.
🔶 SETTINGS
See above for a more detailed explanation of the "Zone Identification" parameters.
Zone Contact Amount: The number of times the price must bounce from this zone before considering it as a liquidity pool.
Bars Required Between Each Contact: The number of bars to wait before checking for another zone contact.
Confirmation Bars: The number of bars to wait before identifying a zone to confirm validity.
Display Volume Labels: Toggles the display for the volume readout for each Liquidity Pool.
Fill Candles Inside Zones: Toggles the display of colored candles within Liquidity Pools.
Swing Data - Optimized SK60
v. 1.83
indicator adjust to time frame.
This Pine Script code generates a trading indicator that calculates and displays various data points on a stock, including Average Daily Range (ADR%), Market Cap, Current Volume, Free Cash Flow (FCF) Yield %, Float %, whether moving averages (MA) are inline, and the moving averages of certain indexes like the Russell 2000, Nasdaq 100, and S&P 500. Here’s a breakdown of the script and how to use it.
Key Concepts and Functionality
Indicator Definition: The script begins by defining the indicator with a title (Swing Data - Optimized ADR%...) and short title (Optimized Swing Data), which will appear on the chart. The overlay=true command ensures that the indicator is drawn on the main price chart rather than in a separate pane.
Sector and Ticker:
s = syminfo.tickerid: This stores the ticker ID of the stock being analyzed.
sector = syminfo.sector: This retrieves the sector to which the stock belongs. If the sector information is unavailable, it assigns the value "N/A".
Dynamic Inputs: Several input parameters allow you to customize the indicator:
adrp_len: Defines the length for ADR% calculation.
len: Defines the moving average length for volume.
tbl_size, bg_col, and txt_col: Control the table's appearance, including the size of the text, background color, and text color.
posTable: Allows positioning of the table on the chart. Options include top-left, top-right, bottom-left, and bottom-right.
show_empty_row: Adds an empty row above the displayed values if set to true.
Volume Unit Handling (f_vol_unit): This function converts volume into appropriate units, like thousands (K), millions (M), or billions (B), to make volume easier to read. It’s applied to both the current volume and the average daily volume.
Moving Averages for Indexes (f_ma_indexes): This function calculates the 10-day, 20-day, 50-day, and 200-day simple moving averages (SMAs) for an index (such as Russell 2000 or Nasdaq 100). It also checks whether the MAs are inline, meaning if shorter MAs are above longer MAs, which is usually a bullish sign. It returns the result as "YES" or "NO" and assigns a color (green for yes, red for no).
Volume and Price Data: The script fetches several important data points:
vol_display: Current volume in human-readable units.
avgDaVol: Average daily volume.
adrp: Average Daily Range (ADR%) over a specified length.
fcf_yield_percent: Free Cash Flow Yield percentage.
ADR Calculation: The ADR% is calculated using the formula 100 * (ta.sma(high / low, adrp_len) - 1) and is fetched for the daily timeframe.
FCF Yield Color Logic: The Free Cash Flow yield is classified into three categories:
Green: Undervalued if FCF yield is over 5%.
Yellow: Neutral between 2-5%.
Red: Overvalued if below 2%.
MA's Inline Check for the Stock: The script checks if the stock's 10-day, 20-day, 50-day, and 200-day moving averages are inline (i.e., in a bullish alignment where shorter MAs are higher than longer MAs).
Float % Calculation: The float percentage is calculated as the ratio of float shares outstanding (FSO) to total shares outstanding (TSO). The color is set based on its breakout potential:
Red: Below 20% (manipulation risk).
Green: 20-50% (ideal breakout range).
Yellow: Above 50%.
Price Change %: The script calculates the percentage change in price between the current and previous close.
Volume Color Logic: The color of the "Current Volume" is based on whether it indicates buying or selling pressure:
Green: Volume is higher than average, and the price increased more than ADR%.
Red: Volume is higher than average, and the price decreased more than ADR%.
Yellow: Default color if neither condition is met.
Market Cap: The market cap is calculated by multiplying the total shares outstanding (TSO) by the current close price, and it’s displayed in a human-readable unit (K, M, or B).
Display Table:
A table is created to display all the calculated data in an organized manner. It includes fields for Market Cap, Avg Volume, ADR%, Current Volume, FCF Yield %, Float %, MA's Inline status, and Sector. Additionally, it shows the inline status for the Russell 2000, Nasdaq 100, and S&P 500.
How to Use:
Customization: Users can customize the inputs, including the length of ADR% and volume moving averages, and adjust the table size, text color, and position.
Visualization: The indicator provides a comprehensive table on the chart showing key data points for technical analysis, including whether moving averages are inline for both the stock and major indexes.
This indicator is particularly useful for swing traders or technical analysts who want a clear overview of a stock’s volume, volatility (via ADR%), and the alignment of moving averages, combined with fundamental metrics like market cap and free cash flow yield.
Chartonaut: GlimpseDisplays an overview of some key metrics as a table.
Market Cap : value of the company.
Float Shares : number of shares available for trading.
AR# : average range over the last # sessions.
ATR# : average true range over the last # sessions.
ATR#/MA# : distance of the current price from the given moving average (MA) in terms of ATR multiples.
Rel Volatility : current session's range, including gaps from previous close, relative to the ATR.
Additionally, it highlights some metrics if they are crossing a given threshold, as to warn that some criteria might not be met.
AOC Support & Resistance V1he AOC V1 indicator is designed to plot up to six customizable horizontal price levels on a chart with display options and label customization. This indicator is helpful for marking support (S1, S2, S3) and resistance (R1, R2, R3) levels, often used by traders to analyze market behavior.
Key Features:
Price Level Inputs: Six price levels (R1, S1, R2, S2, R3, S3) can be manually set. These levels are typically used as support and resistance levels.
Display On/Off Toggle: Each price level has an option to be toggled on or off, allowing the user to display only the relevant levels.
Custom Line Style: Users can adjust the color, width, and style (solid, dotted, or dashed) for each line to enhance the chart’s clarity and fit the user's preferences.
Label at Start of the Day: Each price level has a label that shows the price and is placed at the start of the trading day. This helps traders easily identify and track key price levels throughout the session.
Session Control: You can choose to draw the lines either for the entire chart or just for the current day’s trading session. This flexibility allows traders to focus on real-time price movements or broader trends.
Auto-Update: The lines are automatically updated as new bars are formed, ensuring that they stay anchored to the specified price levels.
Inputs:
R1, S1, R2, S2, R3, S3: The specific price levels for the resistance and support levels.
Line Color: Users can customize the line color for each level (Red for resistance levels and Green for support levels by default).
Line Width: The width of the horizontal lines, which can be adjusted from 1 to 5 pixels.
Line Style: The line style can be set to solid, dotted, or dashed, depending on user preference.
Display On/Off: Each level can be individually displayed or hidden by toggling the display option.
This indicator is highly customizable and designed to provide traders with easy-to-interpret visual cues for key price levels in the market.
Vektorkerzen HighlightThe indicator highlights candles when:
The volume is at least twice the 20-period moving average.
The range (difference between high and low prices) is at least twice the 20-period average range.
Farley's Accumulation-Distribution Accelerator (ADA)Farley's ADA (From The Master Swing Trader)
What it is :
ADA is designed to track volume oscillations in the market and reduce the impact of shock events.
It observes the supply-demand dynamics within the market, which can trigger natural levels of price reversals.
How It Works
Volume and Price Relationship: ADA measures the lag between price and volume movements. It highlights when volume leads or lags behind price changes, helping traders identify potential reversals or trends.
Signal Generation: ADA can generate faster and cleaner signals compared to traditional indicators like On-Balance Volume (OBV).
Usage
Support and Resistance: ADA formations can help identify support and resistance levels and trendlines.
detect natural levels where price reversals might occur.
Trend Identification: Look for significant divergences between ADA and price action to identify potential trend reversals.
Volume Analysis: Use ADA to anticipate pauses in price movements when volume leads, and expect dynamic trends when ADA significantly moves ahead of price action.
