OBV Divergence Indicator [TradingFinder] On-Balance Vol Reversal🔵 Introduction
The On-Balance Volume (OBV) indicator, introduced by Joe Granville in 1963, is a powerful technical analysis tool used to measure buying and selling pressure based on trading volume and price.
By aggregating trading volume—adding it on positive days and subtracting it on negative days—OBV creates a cumulative line that reflects market volume pressure, making it valuable for confirming trends, identifying entry and exit points, and forecasting potential price movements.
Divergences between price and OBV often provide significant signals. A bearish divergence occurs when the price forms higher highs while the OBV line forms lower highs. This discrepancy indicates that upward momentum is weakening, increasing the likelihood of a downward trend.
In contrast, a bullish divergence happens when the price makes lower lows, but the OBV line forms higher lows. This suggests increasing buying pressure and the potential for an upward trend reversal.
For instance, if the price is rising but the OBV trendline is falling, it may signal a bearish divergence, warning of a possible price decline. Conversely, if the price is falling while the OBV line is rising, this could signal a bullish divergence, indicating a possible price recovery. These signals are particularly useful for identifying market turning points.
OBV often acts as a leading indicator, moving ahead of price changes. For example, a rising OBV alongside stable or declining prices can signal an impending upward breakout.
Conversely, a declining OBV with rising prices may indicate that the current uptrend is losing strength. Traders using this strategy often consider entering positions at breakout levels while setting stop losses near recent swing highs or lows to manage risk effectively.
This integration highlights how OBV divergences can provide actionable insights for predicting price movements and managing trades efficiently.
Bullish Divergence :
Bearish Divergence :
🔵 How to Use
The OBV indicator, as a cumulative tool, assists analysts in comparing volume and price changes to identify new trends and key levels for entering or exiting trades. Beyond confirming existing trends, it is particularly effective in analyzing positive and negative divergences between price and volume, providing valuable signals for trading decisions.
🟣 Bullish Divergence
A bullish divergence occurs when the price continues its downward or stable trend, but the OBV line starts rising, forming a higher low compared to its previous low. This suggests increasing volume on up days relative to down days and often signals a reversal to the upside.
For instance, if an asset's price stabilizes near a support level but the OBV line shows an upward trend, this divergence could present an opportunity to enter a long position.
🟣 Bearish Divergence
A bearish divergence occurs when the price forms higher highs, but the OBV line declines, creating lower highs compared to previous peaks. This indicates decreasing volume on up days relative to down days and often acts as a warning for a reversal to the downside.
For example, if an asset’s price approaches a resistance level while OBV starts declining, this divergence may signal the beginning of a downtrend and could indicate a good time to exit long trades or enter short positions.
🔵 Setting
Period : The "Period" setting allows you to define the number of bars or intervals for "Periodic" and "EMA" modes. A shorter period captures more short-term movements, while a longer period smooths out the fluctuations and provides a broader view of market trends.
You can enable or disable labels to highlight key levels or divergences and tables to show numerical details like values and divergence types. These options allow for a customized chart display.
🔵 Table
The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator.
Exist : If divergence is detected, a "+" will appear in this row.
Consecutive: Shows the number of consecutive divergences that have formed in a short period.
Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong."
Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table.
🔵 Conclusion
The OBV (On Balance Volume) indicator is a simple yet effective tool in technical analysis that combines volume and price changes to provide a comprehensive view of market buying and selling pressure. By identifying positive and negative divergences, OBV enables analysts to detect early signs of trend reversals and refine their trading strategies.
Divergences in OBV often precede price changes, making it a leading indicator for predicting market movements. Using OBV alongside other technical tools can enhance decision-making accuracy and help traders identify better entry and exit points. However, it is essential to consider the limitations of OBV, such as the potential for signal errors and the impact of sudden news events.
Ultimately, OBV serves as a complementary tool in technical analysis, aiding in trend identification, signal confirmation, and risk management. A thoughtful application of this indicator, in combination with other analytical tools, can create valuable opportunities for profiting in financial markets.
オン・バランス・ボリューム (OBV)
Profit Hunter - RS Supernova中文說明
狩利 (Profit Hunter) - RS 超新星 是一款專為加密貨幣市場設計的相對強度篩選指標，靈感來自 Mark Minervini 和 William O'Neil 的投資理念。此指標透過「RS 超新星」篩選概念，幫助交易者聚焦在市場中的極端強勢標的，從而更精準地捕捉高潛力的進場機會。
指標用途
RS 評級 (RS Rating)：基於相對強度 (Relative Strength) 概念，將標的與整體市場 (TOTAL 指數) 進行比較，得出 RS 評級。當 RS 評級超過 85 時，該標的被視為具有極強的上漲動能，是潛在的進場目標。
高潛力篩選：此指標利用動態加權計算方式，篩選出相對強勢的標的，讓交易者可以聚焦於具有突破潛力的資產。
即時數據顯示：在圖表上即時顯示 RS 評級，提供清晰的數據支持，使交易者快速判斷標的的強度並做出即時決策。
狩利-RS 超新星 專為追求市場主流趨勢的交易者設計，特別適合應用 Minervini 和 O'Neil 理論的投資者。該指標幫助您在市場波動中篩選出最具相對強度的標的，確保每次進場都是基於高潛力的技術分析。
English Description
Profit Hunter - RS Supernova is a relative strength (RS) filtering indicator specifically designed for the cryptocurrency market, inspired by the investment philosophies of Mark Minervini and William O'Neil. Through the concept of the "RS Supernova," this indicator helps traders focus on exceptionally strong assets within the market, enabling precise entry into high-potential opportunities.
Indicator Purpose
RS Rating: Based on Relative Strength (RS) analysis, the indicator compares the asset to the overall market (TOTAL index) to generate an RS Rating. When the RS rating exceeds 85, the asset is considered to have substantial upward momentum, marking it as a potential entry target.
High-Potential Screening: Utilizing a dynamic weighted calculation, this indicator filters out assets with relative strength, allowing traders to concentrate on those with breakout potential.
Real-Time Data Display: The RS Rating is displayed on the chart, providing clear data for quick assessment of asset strength and enabling real-time decision-making.
Profit Hunter - RS Supernova is designed for traders seeking to capture mainstream market trends, especially those following Minervini and O'Neil's theories. This indicator aids in identifying the strongest assets amidst market fluctuations, ensuring each entry is backed by high-potential technical analysis.
Effective Volume (ADV) v3Effective Volume (ADV) v3: Enhanced Accumulation/Distribution Analysis Tool
This indicator is an updated version of the original script by cI8DH, now upgraded to Pine Script v5 with added functionality, including the Volume Multiple feature. The tool is designed for analyzing Accumulation/Distribution (A/D) volume, referred to here as "Effective Volume," which represents the volume impact in alignment with price direction, providing insights into bullish or bearish trends through volume.
Accumulation/Distribution Volume Analysis : The script calculates and visualizes Effective Volume (ADV), helping traders assess volume strength in relation to price action. By factoring in bullish or bearish alignment, Effective Volume highlights points where volume strongly supports price movements.
Volume Multiple Feature for Volume Multiplication : The Volume Multiple setting (default value 2) allows you to set a multiplier to identify bars where Effective Volume exceeds the previous bar’s volume by a specified factor. This feature aids in pinpointing significant shifts in volume intensity, often associated with potential trend changes.
Customizable Aggregation Types : Users can choose from three volume aggregation types:
Simple - Standard SMA (Simple Moving Average) for averaging Effective Volume
Smoothed - RMA (Recursive Moving Average) for a less volatile, smoother line
Cumulative - Accumulated Effective Volume for ongoing trend analysis
Volume Divisor : The “Divide Vol by” setting (default 1 million) scales down the Effective Volume value for easier readability. This allows Effective Volume data to be aligned with the scale of the price chart.
Visualization Elements
Effective Volume Columns : The Effective Volume bar plot changes color based on volume direction:
Green Bars : Bullish Effective Volume (volume aligns with price movement upwards)
Red Bars : Bearish Effective Volume (volume aligns with price movement downwards)
Moving Average Lines :
Volume Moving Average - A gray line representing the moving average of total volume.
A/D Moving Average - A blue line showing the moving average of Accumulation/Distribution (A/D) Effective Volume.
High ADV Indicator : A “^” symbol appears on bars where the Effective Volume meets or exceeds the Volume Multiple threshold, highlighting bars with significant volume increase.
How to Use
Analyze Accumulation/Distribution Trends : Use Effective Volume to observe if bullish or bearish volume aligns with price direction, offering insights into the strength and sustainability of trends.
Identify Volume Multipliers with Volume Multiple : Adjust Volume Multiple to track when Effective Volume has notably increased, signaling potential shifts or strengthening trends.
Adjust Volume Display : Use the volume divisor setting to scale Effective Volume for clarity, especially when viewing alongside price data on higher timeframes.
With customizable parameters, this script provides a flexible, enhanced perspective on Effective Volume for traders analyzing volume-based trends and reversals.
OBV based on MADescription:
This indicator calculates On-Balance Volume (OBV) based on the direction of a Simple Moving Average (SMA). Instead of using price movements, this OBV adds or subtracts volume depending on whether the SMA is rising or falling.
SMA-based OBV: When the SMA rises, the volume is added to the OBV. When the SMA falls, the volume is subtracted from the OBV. This allows traders to observe cumulative volume in relation to the wave patterns created by the SMA.
SMA Period: The period of the SMA can be customized, allowing traders to adjust it according to the wave size they want to observe.
While the cumulative volume indicator already exists, traders who analyze volume patterns can use this indicator to more easily conduct volume analysis across different wave sizes.
Inputs:
SMA Period: Defines the lookback period for calculating the Simple Moving Average (default is 25).
Ideal for:
Traders who want to analyze volume flow relative to moving average trends, rather than price movements. This can help identify underlying strength or weakness in market trends.
説明:
このインジケーターは、単純移動平均（SMA）の方向に基づいてオンバランス・ボリューム（OBV）を計算します。価格の動きではなく、SMAが上昇しているときは出来高を加算し、SMAが下降しているときは出来高を減算します。
SMA基準のOBV: SMAが上昇している場合はOBVに出来高が加算され、SMAが下降している場合は出来高が減算されます。これにより、SMAが作る波形に即した累積出来高を観察することができます。
SMA期間: トレーダーが見たい波のサイズ感に応じて、SMAの期間をカスタマイズできます。
既に累積出来高（Cumulative Volume）というインジケーターは存在しますが、波形を基に出来高を分析しているトレーダーは、このインジケーターを使うことで、様々なサイズの波形に即した出来高分析をより簡単に行うことができます。
入力項目:
SMA期間: 単純移動平均の計算に使用される期間を定義します（デフォルトは25）。
適しているトレーダー:
より波形に即した累積出来高分析を重視するトレーダーに最適です。
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。
Gabriel's Witcher Strategy [65 Minute Trading Bot]Strategy Description: Gabriel's Witcher Strategy
Author: Gabriel
Platform: TradingView Pine Script (Version 5)
Backtested Asset: Avalanche (Coinbase Brokage for Volume adjustment)
Timeframe: 65 Minutes
Strategy Type: Comprehensive Trend-Following and Momentum Strategy with Scalping and Risk Management Features
Overview
Gabriel's Witcher Strategy is an advanced trading bot designed for the Avalanche pair on a 65-minute timeframe. This strategy integrates a multitude of technical indicators to identify and execute high-probability trading opportunities. By combining trend-following, momentum, volume analysis, and range filtering, the strategy aims to capitalize on both long and short market movements. Additionally, it incorporates scalping mechanisms and robust risk management features, including take-profit (TP) levels and commission considerations, to optimize trade performance and profitability.
====Key Components====
Source Selection:
Custom Source Flexibility: Allows traders to select from a wide range of price and volume sources (e.g., Close, Open, High, Low, HL2, HLC3, OHLC4, VWAP, On-Balance Volume, etc.) for indicator calculations, enhancing adaptability to various trading styles.
Various curves of Volume Analysis are employed:
Tick Volume Calculation: Utilizes tick volume as a fallback when actual volume data is unavailable, ensuring consistency across different data feeds.
Volume Indicators: Incorporates multiple volume-based indicators such as On-Balance Volume (OBV), Accumulation/Distribution (AccDist), Negative Volume Index (NVI), Positive Volume Index (PVI), and Price Volume Trend (PVT) for comprehensive market analysis.
Trend Indicators:
ADX (Average Directional Index): Measures trend strength using either the Classic or Masanakamura method, with customizable length and threshold settings. It's used to open positions when the mesured trend is strong, or exit when its weak.
Jurik Moving Average (JMA): A smooth moving average that reduces lag, configurable with various parameters including source, resolution, and repainting options.
Parabolic SAR: Identifies potential reversals in market trends with adjustable start, increment, and maximum settings.
Custom Trend Indicator: Utilizes highest and lowest price points over a specified timeframe to determine current and previous trend bases, visually represented with color-filled areas.
Momentum Indicators:
Relative Strength Index (RSI): Evaluates the speed and change of price movements, smoothed with a custom length and source. It's used to not enter the market for shorts in oversold or longs for overbought conditions, and to enter for long in oversold or shorts for overboughts.
Momentum-Based Calculations: Employs both Double Exponential Moving Averages (DEMA) on a MACD-based RSI to enhance momentum signal accuracy which is then further accelerated by a Hull MA. This is the technical analysis tool that determines bearish or bullish momentum.
OBV-Based Momentum Conditions: Uses two exponential moving averages of OBV to determine bullish or bearish momentum shifts, anomalities, breakouts where banks flow their funds in or Smart Money Concepts trade.
Moving Averages (MA):
Multiple MA Types: Includes Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), Hull Moving Average (HMA), and Volume-Weighted Moving Average (VWMA), selectable via input parameters.
MA Speed Calculation: Measures the percentage change in MA values to determine the direction and speed of the trend.
Range Filtering:
Variance-Based Filter: Utilizes variance and moving averages to filter out trades during low-volatility periods, enhancing trade quality.
Color-Coded Range Indicators: Visualizes range filtering with color changes on the chart for quick assessment.
Scalping Mechanism:
Heikin-Ashi Candles: Optionally uses Heikin-Ashi candles for smoother price action analysis.
EMA-Based Trend Detection: Employs fast, medium, and slow EMAs to determine trend direction and potential entry points.
Fractal-Based Filtering: Detects regular or BW (Black & White) fractals to confirm trade signals.
Take Profit (TP) Management:
Dynamic TP Levels: Calculates TP levels based on the number of consecutive long or short entries, adjusting targets to maximize profits.
TP Signals and Re-Entry: Plots TP signals on the chart and allows for automatic re-entry upon TP hit, maintaining continuous trade flow.
Risk Management:
Commission Integration: Accounts for trading commissions to ensure net profitability.
Position Sizing: Configured to use a percentage of equity for each trade, adjustable via input parameters.
Pyramiding: Allows up to one additional position per direction to enhance gains during strong trends.
Alerts and Visual Indicators:
Buy/Sell Signals: Plots visual indicators (triangles and flags) on the chart to signify entry and TP points.
Bar Coloring: Changes bar colors based on ADX and trend conditions for immediate visual cues.
Price Levels: Marks significant price levels related to TP and position entries with cross styles.
Input Parameters
Source Settings:
Custom Sources (srcinput): Choose from various price and volume sources to tailor indicator calculations.
ADX Settings:
ADX Type (ADX_options): Select between 'CLASSIC' and 'MASANAKAMURA' methods.
ADX Length (ADX_len): Defines the period for ADX calculation.
ADX Threshold (th): Sets the minimum ADX value to consider a strong trend.
RSI Settings:
RSI Length (len_3): Period for RSI calculation.
RSI Source (src_3): Source data for RSI.
Trend Strength Settings:
Channel Length (n1): Period for trend channel calculation.
Average Length (n2): Period for smoothing trend strength.
Jurik Moving Average (JMA) Settings:
JMA Source (inp): Source data for JMA.
JMA Resolution (reso): Timeframe for JMA calculation.
JMA Repainting (rep): Option to allow JMA to repaint.
JMA Length (lengths): Period for JMA.
Parabolic SAR Settings:
SAR Start (start): Initial acceleration factor.
SAR Increment (increment): Acceleration factor increment.
SAR Maximum (maximum): Maximum acceleration factor.
SAR Point Width (width): Visual width of SAR points.
Trend Indicator Settings:
Trend Timeframe (timeframe): Period for trend indicator calculations.
Momentum Settings:
Source Type (srcType): Select between 'Price' and 'VWAP'.
Momentum Source (srcPrice): Source data for momentum calculations.
RSI Length (rsiLen): Period for momentum RSI.
Smooth Length (sLen): Smoothing period for momentum RSI.
OBV Settings:
OBV Line 1 (e1): EMA period for OBV line 1.
OBV Line 2 (e2): EMA period for OBV line 2.
Moving Average (MA) Settings:
MA Length (length): Period for MA calculations.
MA Type (matype): Select MA type (1: SMA, 2: EMA, 3: HMA, 4: WMA, 5: VWMA).
Range Filter Settings:
Range Filter Length (length0): Period for range filtering.
Range Filter Multiplier (mult): Multiplier for range variance.
Take Profit (TP) Settings:
TP Long (tp_long0): Percentage for long TP.
TP Short (tp_short0): Percentage for short TP.
Scalping Settings:
Scalping Activation (ACT_SCLP): Enable or disable scalping.
Scalping Length (HiLoLen): Period for scalping indicators.
Fast EMA Length (fastEMAlength): Period for fast EMA in scalping.
Medium EMA Length (mediumEMAlength): Period for medium EMA in scalping.
Slow EMA Length (slowEMAlength): Period for slow EMA in scalping.
Filter (filterBW): Enable or disable additional fractal filtering.
Pullback Lookback (Lookback): Number of bars for pullback consideration.
Use Heikin-Ashi Candles (UseHAcandles): Option to use Heikin-Ashi candles for smoother trend analysis.
Strategy Logic
Indicator Calculations:
Volume and Source Selection: Determines the primary data source based on user input, ensuring flexibility and adaptability.
ADX Calculation: Computes ADX using either the Classic or Masanakamura method to assess trend strength.
RSI Calculation: Evaluates market momentum using RSI, further smoothed with custom periods.
Trend Strength Assessment: Utilizes trend channel and average lengths to gauge the robustness of current trends.
Jurik Moving Average (JMA): Smooths price data to reduce lag and enhance trend detection.
Parabolic SAR: Identifies potential trend reversals with adjustable parameters for sensitivity.
Momentum Analysis: Combines RSI with DEMA and OBV-based conditions to confirm bullish or bearish momentum.
Moving Averages: Employs multiple MA types to determine trend direction and speed.
Range Filtering: Filters out low-volatility periods to focus on high-probability trades.
Trade Conditions:
Long Entry Conditions:
ADX Confirmation: ADX must be above the threshold, indicating a strong uptrend.
RSI and Momentum: RSI below 70 and positive momentum signals.
JMA and SAR: JMA indicates an uptrend, and Parabolic SAR is below the price.
Trend Indicator: Confirms the current trend direction.
Range Filter: Ensures market is in an upward range.
Scalping Option: If enabled, additional scalping conditions must be met.
Short Entry Conditions:
ADX Confirmation: ADX must be above the threshold, indicating a strong downtrend.
RSI and Momentum: RSI above 30 and negative momentum signals.
JMA and SAR: JMA indicates a downtrend, and Parabolic SAR is above the price.
Trend Indicator: Confirms the current trend direction.
Range Filter: Ensures market is in a downward range.
Scalping Option: If enabled, additional scalping conditions must be met.
Position Management:
Entry Execution: Places long or short orders based on the identified conditions and user-selected position types (Longs, Shorts, or Both).
Take Profit (TP): Automatically sets TP levels based on predefined percentages, adjusting dynamically with consecutive trades.
Re-Entry Mechanism: Allows for automatic re-entry upon TP hit, maintaining active trading positions.
Exit Conditions: Closes positions when TP levels are reached or when opposing trend signals are detected.
Visual Indicators:
Bar Coloring: Highlights bars in green for bullish conditions, red for bearish, and orange for neutral.
Plotting Price Levels: Marks significant price levels related to TP and trade entries with cross symbols.
Signal Shapes: Displays triangle and flag shapes on the chart to indicate trade entries and TP hits.
Alerts:
Custom Alerts: Configured to notify traders of long entries, short entries, and TP hits, enabling timely trade management and execution.
Usage Instructions
Setup:
Apply the Strategy: Add the script to your TradingView chart set to BTCUSDT with a 65-minute timeframe.
Configure Inputs: Adjust the input parameters under their respective groups (e.g., Source Settings, ADX, RSI, Trend Strength, etc.) to match your trading preferences and risk tolerance.
Position Selection:
Choose Position Type: Use the Position input to select Longs, Shorts, or Both based on your market outlook.
Execution: The strategy will automatically execute and manage positions according to the selected type, ensuring targeted trading actions.
Signal Interpretation:
Buy Signals: Blue triangles below the bars indicate potential long entry points.
Sell Signals: Red triangles above the bars indicate potential short entry points.
Take Profit Signals: Flags above or below the bars signify TP hits for long and short positions, respectively.
Bar Colors: Green bars suggest bullish conditions, red bars indicate bearish conditions, and orange bars represent neutral or consolidating markets.
Risk Management:
Default Position Size: Set to 100% of equity. Adjust the default_qty_value as needed for your risk management strategy.
Commission: Accounts for a 0.1% commission per trade. Adjust the commission_value to match your broker's fees.
Pyramiding: Allows up to one additional position per direction to enhance gains during strong trends.
Backtesting and Optimization:
Historical Testing: Utilize TradingView's backtesting features to evaluate the strategy's performance over historical data.
Parameter Tuning: Optimize input parameters to align the strategy with current market dynamics and personal trading objectives.
Alerts Configuration:
Set Up Alerts: Enable and configure alerts based on the predefined alertcondition statements to receive real-time notifications of trade signals and TP hits.
Additional Features
Comprehensive Indicator Integration: Combines multiple technical indicators to provide a holistic view of market conditions, enhancing trade signal accuracy.
Scalping Options: Offers an optional scalping mechanism to capitalize on short-term price movements, increasing trading flexibility.
Dynamic Take Profit Levels: Adjusts TP targets based on the number of consecutive trades, maximizing profit potential during favorable trends.
Advanced Volume Analysis: Utilizes various volume indicators to confirm trend strength and validate trade signals.
Customizable Range Filtering: Filters trades based on market volatility, ensuring trades are taken during optimal conditions.
Heikin-Ashi Candle Support: Optionally uses Heikin-Ashi candles for smoother price action analysis and reduced noise.
====Recommendations====
Thorough Backtesting:
Historical Performance: Before deploying the strategy in a live trading environment, perform comprehensive backtesting to understand its performance under various market conditions. These are the premium settings for Avalanche Coinbase.
Optimization: Regularly review and adjust input parameters to ensure the strategy remains effective amidst changing market volatility and trends. Backtest the strategy for each crypto and make sure you are in the right brokage when using the volume sources as it will affect the overall outcome of the trading strategy.
Risk Management:
Position Sizing: Adjust the default_qty_value to align with your risk tolerance and account size.
Stop-Loss Implementation: Although the strategy includes TP levels, they're also consided to be a stop-loss mechanisms to protect against adverse market movements.
Commission Adjustment: Ensure the commission_value accurately reflects your broker's fees to maintain realistic backtesting results. Generally, 0.1~0.3% are most of the average broker's comission fees.
Slipage: The slip comssion is 1 Tick, since the strategy is adjusted to only enter/exit on bar close where most positions are available.
Continuous Monitoring:
Strategy Performance: Regularly monitor the strategy's performance to ensure it operates as expected and make adjustments as needed. A max-drawndown hit has been added to operate in case the premium Avalanche settings go wrong, but you can turn it off an adjust the equity percentage to 50% if you are confortable with the high volatile max-drown or even 100% if your account allows you to borrow cash.
Customization:
Indicator Parameters: Tailor indicator settings (e.g., ADX length, RSI period, MA types) to better fit your specific trading style and market conditions.
Scalping Options: Enable or disable scalping based on your trading preferences and risk appetite.
Conclusion
Gabriel's Witcher Strategy is a robust and versatile trading solution designed to navigate the complexities of the Crypto market. By integrating a wide array of technical indicators and providing extensive customization options, this strategy empowers traders to execute informed and strategic trades. Its comprehensive approach, combining trend analysis, momentum detection, volume evaluation, and range filtering, ensures that trades are taken during optimal market conditions. Additionally, the inclusion of scalping features and dynamic take-profit management enhances the strategy's adaptability and profitability potential. Unlike any trading strategy, with both diligent testing and continuous monitoring under the strategy tester, it's possible to achieve sustained success by adjusting the settings to the individual Crypto that need it, for example this one is preset for Avalanche Coinbase 65 Miinutes but it can be adjust for BTCUSD or Etherium if you backtest and search for the right settings.
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. 🔍
Triple VWAP# Triple VWAP Indicator
## Description
The Triple VWAP Indicator is a powerful tool for traders who rely on Volume Weighted Average Price (VWAP) in their analysis. This indicator displays three VWAP lines on a single chart, each representing a different time frame: Session, Weekly, and Monthly.
## Features
- Session VWAP (Blue Line): Resets daily, providing intraday volume-weighted average price.
- Weekly VWAP (Green Line): Resets weekly, offering a medium-term perspective.
- Monthly VWAP (Red Line): Resets monthly, giving a longer-term view of price action relative to volume.
## How It Works
The indicator calculates the VWAP for each time frame separately, using the specified price source (default is HLC3). It then plots these values on your chart, allowing you to see how the current price compares to the volume-weighted average across different time periods.
## Use Cases
- Multi-timeframe Analysis: Compare short-term price movements against longer-term trends.
- Support and Resistance: VWAP lines often act as dynamic support/resistance levels.
- Mean Reversion: Identify potential overbought or oversold conditions when price deviates significantly from VWAP.
- Trend Confirmation: Use multiple VWAP lines to confirm trend strength and potential reversals.
## Customization
Users can customize the indicator by changing the price source and offset in the settings. The color and thickness of each VWAP line can also be adjusted in the code for personal preference.
## Note
This indicator is most effective on intraday charts but can provide valuable insights on any time frame. Remember that VWAP is typically most relevant for institutional traders on a session-by-session basis.
Enhance your trading strategy with the Triple VWAP Indicator – a versatile tool for comprehensive price-volume analysis across multiple time frames.
Gold Scalping Strategy with Precise EntriesThe Gold Scalping Strategy with Precise Entries is designed to take advantage of short-term price movements in the gold market (XAU/USD). This strategy uses a combination of technical indicators and chart patterns to identify precise buy and sell opportunities during times of consolidation and trend continuation.
Key Elements of the Strategy:
Exponential Moving Averages (EMAs):
50 EMA: Used as the shorter-term moving average to detect the recent price trend.
200 EMA: Used as the longer-term moving average to determine the overall market trend.
Trend Identification:
A bullish trend is identified when the 50 EMA is above the 200 EMA.
A bearish trend is identified when the 50 EMA is below the 200 EMA.
Average True Range (ATR):
ATR (14) is used to calculate the market's volatility and to set a dynamic stop loss based on recent price movements. Higher ATR values indicate higher volatility.
ATR helps define a suitable stop-loss distance from the entry point.
Relative Strength Index (RSI):
RSI (14) is used as a momentum oscillator to detect overbought or oversold conditions.
However, in this strategy, the RSI is primarily used as a consolidation filter to look for neutral zones (between 45 and 55), which may indicate a potential breakout or trend continuation after a consolidation phase.
Engulfing Patterns:
Bullish Engulfing: A bullish signal is generated when the current candle fully engulfs the previous bearish candle, indicating potential upward momentum.
Bearish Engulfing: A bearish signal is generated when the current candle fully engulfs the previous bullish candle, signaling potential downward momentum.
Precise Entry Conditions:
Long (Buy):
The 50 EMA is above the 200 EMA (bullish trend).
The RSI is between 45 and 55 (neutral/consolidation zone).
A bullish engulfing pattern occurs.
The price closes above the 50 EMA.
Short (Sell):
The 50 EMA is below the 200 EMA (bearish trend).
The RSI is between 45 and 55 (neutral/consolidation zone).
A bearish engulfing pattern occurs.
The price closes below the 50 EMA.
Take Profit and Stop Loss:
Take Profit: A fixed 20-pip target (where 1 pip = 0.10 movement in gold) is used for each trade.
Stop Loss: The stop-loss is dynamically set based on the ATR, ensuring that it adapts to current market volatility.
Visual Signals:
Buy and sell signals are visually plotted on the chart using green and red labels, indicating precise points of entry.
Advantages of This Strategy:
Trend Alignment: The strategy ensures that trades are taken in the direction of the overall trend, as indicated by the 50 and 200 EMAs.
Volatility Adaptation: The use of ATR allows the stop loss to adapt to the current market conditions, reducing the risk of premature exits in volatile markets.
Precise Entries: The combination of engulfing patterns and the neutral RSI zone provides a high-probability entry signal that captures momentum after consolidation.
Quick Scalping: With a fixed 20-pip profit target, the strategy is designed to capture small price movements quickly, which is ideal for scalping.
This strategy can be applied to lower timeframes (such as 1-minute, 5-minute, or 15-minute charts) for frequent trade opportunities in gold trading, making it suitable for day traders or scalpers. However, proper risk management should always be used due to the inherent volatility of gold.
MTOBVR_CheckOverview.
This indicator checks to see if the OBV follows a specific pattern and visually displays the trend of the OBV on different time legs. It also has the ability to set alerts when certain conditions are met.
How to use
Setting up the indicator
Add a new indicator on a chart in TradingView.
Copy the code into the “Pine Script™ Editor” and save it as a new script.
Apply the script to your chart.
Indicator Functions
OBV Calculation
Calculates OBV for each time frame (5-minute, 15-minute, 30-minute, 1-hour, 4-hour, daily, and weekly) and displays it on the chart OBV is an indicator that combines price changes and trading volume.
Pattern Detection
Detects whether a particular pattern, such as a double or triple bottom, appears in the OBV. This allows us to identify buy or sell signals.
When these patterns are detected, the background color changes.
Background Color Change
When an OBV forms a particular pattern, the background color of the chart changes. This provides visual confirmation that a pattern has appeared.
Minimum pattern (min_bool): when the 5-, 15-, and 30-minute conditions for OBV are met.
High hourly pattern (h_bool): when the condition is met for the 1-hour, 4-hour, and daily legs of the OBV.
One-week pattern (range_obv_1w_bool): when the condition is met for the 1-week OBV pattern.
When all conditions are met: when the minimum pattern, high hourly pattern, and one-week pattern are all met.
Alert Settings
You can set alerts when certain conditions are met. This allows you to receive signals in real time.
Minimum conditions (min_bool): conditions at 5, 15, and 30 minutes of OBV.
High timeframe condition (h_bool): condition on the 1-hour, 4-hour, and daily legs of the OBV.
When all conditions are met: When all of the above conditions are met.
One-week condition (range_obv_1w_bool): Condition for the one-week leg of the OBV.
When all conditions are met: when the minimum, high time leg, and one week conditions are all met.
Arrows
OBV_ALL_UP: A green triangle arrow is displayed when the OBV is rising on all time legs.
OBV_ALL_DOWN: A red triangle arrow appears when the OBV is falling on all time legs.
Usage Notes
Time Leg Settings: This script uses OBVs of different time legs to detect patterns. Depending on the time leg used, appropriate settings and interpretation are required.
Alert settings: In order to activate the alert function, the alert conditions and notification method must be configured using TradingView's alert system.
This indicator allows you to visually see trends and patterns in the OBV across multiple time frames, allowing you to make more informed trading decisions.
Volume-Weighted RSI with HMA SmoothingThis script combines a Volume-Weighted RSI, smoothed with a custom Hull Moving Average (HMA), with a modified MACD based on normalized net volume.
Volume-Weighted RSI: It is calculated by adjusting the closing price with a normalized On-Balance Volume (OBV) and then applying an RSI. This approach weights the RSI according to volume, providing a more accurate measure of the strength of the price movement.
Modified HMA: A Hull Moving Average (HMA) is used to smooth the Volume-Weighted RSI, enhancing the ability to identify market trend changes.
Possible Reversal from Oversold:
The Volume-Weighted RSI crosses above the oversold level.
It is displayed as an upward green triangle at the bottom of the chart, indicating that the market might be exhausting its oversold conditions and potentially starting an upward reversal.
Possible Reversal from Overbought:
The Volume-Weighted RSI crosses below the overbought level.
It is displayed as a downward red triangle at the top of the chart, indicating that the market might be exhausting its overbought conditions and potentially starting a downward reversal.
Confirmation with the Modified MACD: For a more robust interpretation, the behavior of the modified MACD can be observed alongside the RSI cross.
The MACD is also modified, using normalized net volume (calculated as the cumulative change in the closing price multiplied by volume) as the input instead of the standard closing price.
The direction and color change of the MACD bars indicate the market's momentum.
Alerts: Alerts are set to trigger automatically when the modified RSI crosses the oversold or overbought levels.
Español:
Este script combina un RSI ponderado por volumen, suavizado con un Hull Moving Average (HMA) personalizado, con un MACD modificado basado en volumen neto normalizado.
RSI Ponderado por Volumen: Se calcula ajustando el precio de cierre con un OBV (On-Balance Volume) normalizado y luego aplicando un RSI. Este enfoque pondera el RSI según el volumen, proporcionando una medida más precisa de la fuerza del movimiento del precio.
HMA Modificado: Se utiliza un Hull Moving Average (HMA) para suavizar el RSI Ponderado por Volumen, mejorando la capacidad de identificar cambios en la tendencia del mercado.
Posible Reversión desde Sobreventa:
El RSI Ponderado por Volumen cruza por encima del nivel de sobreventa.
Se muestra como un triángulo verde hacia arriba en la parte inferior del gráfico, indicando que el mercado podría estar agotando las condiciones de sobreventa y comenzar una posible reversión al alza.
Posible Reversión desde Sobrecompra:
El RSI Ponderado por Volumen cruza por debajo del nivel de sobrecompra.
Se muestra como un triángulo rojo hacia abajo en la parte superior del gráfico, indicando que el mercado podría estar agotando las condiciones de sobrecompra y comenzar una posible reversión a la baja.
Confirmación con el MACD Modificado: Para una interpretación más robusta, se puede observar el comportamiento del MACD modificado junto con el cruce del RSI.
El MACD también está modificado, utilizando el volumen neto normalizado (calculado como el cambio acumulativo en el precio de cierre multiplicado por el volumen) como entrada en lugar del precio de cierre estándar.
La dirección y el cambio de color de las barras del MACD indican el impulso del mercado.
Alertas: Las alertas están configuradas para activarse automáticamente cuando el RSI modificado cruza los niveles de sobreventa o sobrecompra.
Six PillarsGeneral Overview
The "Six Pillars" indicator is a comprehensive trading tool that combines six different technical analysis methods to provide a holistic view of market conditions.
These six pillars are:
Trend
Momentum
Directional Movement (DM)
Stochastic
Fractal
On-Balance Volume (OBV)
The indicator calculates the state of each pillar and presents them in an easy-to-read table format. It also compares the current timeframe with a user-defined comparison timeframe to offer a multi-timeframe analysis.
A key feature of this indicator is the Confluence Strength meter. This unique metric quantifies the overall agreement between the six pillars across both timeframes, providing a score out of 100. A higher score indicates stronger agreement among the pillars, suggesting a more reliable trading signal.
I also included a visual cue in the form of candle coloring. When all six pillars agree on a bullish or bearish direction, the candle is colored green or red, respectively. This feature allows traders to quickly identify potential high-probability trade setups.
The Six Pillars indicator is designed to work across multiple timeframes, offering a comparison between the current timeframe and a user-defined comparison timeframe. This multi-timeframe analysis provides traders with a more comprehensive understanding of market dynamics.
Origin and Inspiration
The Six Pillars indicator was inspired by the work of Dr. Barry Burns, author of "Trend Trading for Dummies" and his concept of "5 energies." (Trend, Momentum, Cycle, Support/Resistance, Scale) I was intrigued by Dr. Burns' approach to analyzing market dynamics and decided to put my own twist upon his ideas.
Comparing the Six Pillars to Dr. Burns' 5 energies, you'll notice I kept Trend and Momentum, but I swapped out Cycle, Support/Resistance, and Scale for Directional Movement, Stochastic, Fractal, and On-Balance Volume. These changes give you a more dynamic view of market strength, potential reversals, and volume confirmation all in one package.
What Makes This Indicator Unique
The standout feature of the Six Pillars indicator is its Confluence Strength meter. This feature calculates the overall agreement between the six pillars, providing traders with a clear, numerical representation of signal strength.
The strength is calculated by considering the state of each pillar in both the current and comparison timeframes, resulting in a score out of 100.
Here's how it calculates the strength:
It considers the state of each pillar in both the current timeframe and the comparison timeframe.
For each pillar, the absolute value of its state is taken. This means that both strongly bullish (2) and strongly bearish (-2) states contribute equally to the strength.
The absolute values for all six pillars are summed up for both timeframes, resulting in two sums: current_sum and alternate_sum.
These sums are then added together to get a total_sum.
The total_sum is divided by 24 (the maximum possible sum if all pillars were at their strongest states in both timeframes) and multiplied by 100 to get a percentage.
The result is rounded to the nearest integer and capped at a minimum of 1.
This calculation method ensures that the Confluence Strength meter takes into account not only the current timeframe but also the comparison timeframe, providing a more robust measure of overall market sentiment. The resulting score, ranging from 1 to 100, gives traders a clear and intuitive measure of how strongly the pillars agree, with higher scores indicating stronger potential signals.
This approach to measuring signal strength is unique in that it doesn't just rely on a single aspect of price action or volume. Instead, it takes into account multiple factors, providing a more robust and reliable indication of potential market moves. The higher the Confluence Strength score, the more confident traders can be in the signal.
The Confluence Strength meter helps traders in several ways:
It provides a quick and easy way to gauge the overall market sentiment.
It helps prioritize potential trades by identifying the strongest signals.
It can be used as a filter to avoid weaker setups and focus on high-probability trades.
It offers an additional layer of confirmation for other trading strategies or indicators.
By combining the Six Pillars analysis with the Confluence Strength meter, I've created a powerful tool that not only identifies potential trading opportunities but also quantifies their strength, giving traders a significant edge in their decision-making process.
How the Pillars Work (What Determines Bullish or Bearish)
While developing this indicator, I selected and configured six key components that work together to provide a comprehensive view of market conditions. Each pillar is set up to complement the others, creating a synergistic effect that offers traders a more nuanced understanding of price action and volume.
Trend Pillar: Based on two Exponential Moving Averages (EMAs) - a fast EMA (8 period) and a slow EMA (21 period). It determines the trend by comparing these EMAs, with stronger trends indicated when the fast EMA is significantly above or below the slow EMA.
Directional Movement (DM) Pillar: Utilizes the Average Directional Index (ADX) with a default period of 14. It measures trend strength, with values above 25 indicating a strong trend. It also considers the Positive and Negative Directional Indicators (DI+ and DI-) to determine trend direction.
Momentum Pillar: Uses the Moving Average Convergence Divergence (MACD) with customizable fast (12), slow (26), and signal (9) lengths. It compares the MACD line to the signal line to determine momentum strength and direction.
Stochastic Pillar: Employs the Stochastic oscillator with a default period of 13. It identifies overbought conditions (above 80) and oversold conditions (below 20), with intermediate zones between 60-80 and 20-40.
Fractal Pillar: Uses Williams' Fractal indicator with a default period of 3. It identifies potential reversal points by looking for specific high and low patterns over the given period.
On-Balance Volume (OBV) Pillar: Incorporates On-Balance Volume with three EMAs - short (3), medium (13), and long (21) periods. It assesses volume trends by comparing these EMAs.
Each pillar outputs a state ranging from -2 (strongly bearish) to 2 (strongly bullish), with 0 indicating a neutral state. This standardized output allows for easy comparison and aggregation of signals across all pillars.
Users can customize various parameters for each pillar, allowing them to fine-tune the indicator to their specific trading style and market conditions. The multi-timeframe comparison feature also allows users to compare pillar states between the current timeframe and a user-defined comparison timeframe, providing additional context for decision-making.
Design
From a design standpoint, I've put considerable effort into making the Six Pillars indicator visually appealing and user-friendly. The clean and minimalistic design is a key feature that sets this indicator apart.
I've implemented a sleek table layout that displays all the essential information in a compact and organized manner. The use of a dark background (#030712) for the table creates a sleek look that's easy on the eyes, especially during extended trading sessions.
The overall design philosophy focuses on presenting complex information in a simple, intuitive format, allowing traders to make informed decisions quickly and efficiently.
The color scheme is carefully chosen to provide clear visual cues:
White text for headers ensures readability
Green (#22C55E) for bullish signals
Blue (#3B82F6) for neutral states
Red (#EF4444) for bearish signals
This color coding extends to the candle coloring, making it easy to spot when all pillars agree on a bullish or bearish outlook.
I've also incorporated intuitive symbols (↑↑, ↑, →, ↓, ↓↓) to represent the different states of each pillar, allowing for quick interpretation at a glance.
The table layout is thoughtfully organized, with clear sections for the current and comparison timeframes. The Confluence Strength meter is prominently displayed, providing traders with an immediate sense of signal strength.
To enhance usability, I've added tooltips to various elements, offering additional information and explanations when users hover over different parts of the indicator.
How to Use This Indicator
The Six Pillars indicator is a versatile tool that can be used for various trading strategies. Here are some general usage guidelines and specific scenarios:
General Usage Guidelines:
Pay attention to the Confluence Strength meter. Higher values indicate stronger agreement among the pillars and potentially more reliable signals.
Use the multi-timeframe comparison to confirm signals across different time horizons.
Look for alignment between the current timeframe and comparison timeframe pillars for stronger signals.
One of the strengths of this indicator is it can let you know when markets are sideways – so in general you can know to avoid entering when the Confluence Strength is low, indicating disagreement among the pillars.
Customization Options
The Six Pillars indicator offers a wide range of customization options, allowing traders to tailor the tool to their specific needs and trading style. Here are the key customizable elements:
Comparison Timeframe:
Users can select any timeframe for comparison with the current timeframe, providing flexibility in multi-timeframe analysis.
Trend Pillar:
Fast EMA Period: Adjustable for quicker or slower trend identification
Slow EMA Period: Can be modified to capture longer-term trends
Momentum Pillar:
MACD Fast Length
MACD Slow Length
MACD Signal Length These can be adjusted to fine-tune momentum sensitivity
DM Pillar:
ADX Period: Customizable to change the lookback period for trend strength measurement
ADX Threshold: Adjustable to define what constitutes a strong trend
Stochastic Pillar:
Stochastic Period: Can be modified to change the sensitivity of overbought/oversold readings
Fractal Pillar:
Fractal Period: Adjustable to identify potential reversal points over different timeframes
OBV Pillar:
Short OBV EMA
Medium OBV EMA
Long OBV EMA These periods can be customized to analyze volume trends over different timeframes
These customization options allow traders to experiment with different settings to find the optimal configuration for their trading strategy and market conditions. The flexibility of the Six Pillars indicator makes it adaptable to various trading styles and market environments.
Multi Exchange Relative Volume IndicatorThe Multi Exchange Relative Volume indicator is a powerful tool designed to visualize the relative volume across different exchanges. This is particularly useful for decentralized securities like forex and crypto, where volume data is spread across multiple markets. By aggregating volume data from various exchanges, this indicator helps traders identify trends, spot unusual volume spikes, and make informed trading decisions.
Key Features:
Multi-Exchange Volume Aggregation: Collects and sums the volume data from up to five different exchanges, offering a holistic view of the market activity.
Customizable Inputs: Easily select and configure up to five different exchanges of your choice to monitor their volume activity.
Relative Volume Visualization: Compares the aggregated volume against historical averages to highlight periods of high or low volume.
Color-Coded Volume Bars: Volume bars are color-coded based on the relative volume percentage, providing quick visual cues:
- Red for volume 1.0-1.5 times the average
- Orange for volume 1.5-2.0 times the average
- Green for volume 2.0-3.0 times the average
- Yellow for volume greater than 3.0 times the average
- Grey for below average volume
Dynamic Lookback Period: Adjust the lookback period to suit your trading style and timeframe, allowing for flexible analysis.
Exponential Moving Average (EMA): Includes an EMA of volume to smooth out short-term fluctuations and highlight longer-term trends.
Scalable Layout: The scaling factor allows you to zoom in or out, adjusting the visual representation of volume data to better fit your chart.
Usage:
Configure Exchanges: Select up to five exchanges you want to monitor from the input settings.
Set Lookback Period and Bars: Customize the lookback period and the number of bars to consider for calculating average volume.
Adjust Scaling: Use the scaling factor to zoom in or out on the volume data for better visualization.
Interpret Volume Bars: Analyze the color-coded volume bars to identify significant changes in volume and potential trading opportunities.
Monitor EMA: Use the EMA line to understand the trend and smooth out noise from the volume data.
The Multi Exchange Relative Volume indicator is an essential tool for traders who want to gain deeper insights into market activity across multiple exchanges. By visualizing relative volume, it helps in identifying potential breakout or breakdown points, enhancing your trading strategy.
RSI Screener / Heatmap - By LeviathanThis script allows you to quickly scan the market by displaying the RSI values of up to 280 tickers at once and visualizing them in an easy-to-understand format using labels with heatmap coloring.
📊 Source
The script can display the RSI from a custom timeframe (MTF) and custom length for the following data:
- Price
- OBV (On Balance Volume)
- Open Interest (for crypto tickers)
📋 Ticker Selection
This script uses a different approach for selecting tickers. Instead of inputting them one by one via input.symbol(), you can now copy-paste or edit a list of tickers in the text area window. This approach allows users to easily exchange ticker lists between each other and, for example, create multiple lists of tickers by sector, market cap, etc., and easily input them into the script. Full credit to @allanster for his functions for extracting tickers from the text. Users can switch between 7 groups of 40 tickers each, totaling 280 tickers.
🖥️ Display Types
- Screener with Labels: Each ticker has its own color-coded label located at its RSI value.
- Group Average RSI: A standard RSI plot that displays the average RSI of all tickers in the group.
- RSI Heatmap (coming soon): Color-coded rows displaying current and historical values of tickers.
- RSI Divergence Heatmap (coming soon): Color-coded rows displaying current and historical regular/hidden bullish/bearish divergences for tickers.
🎨 Appearance
Appearance is fully customizable via user inputs, allowing you to change heatmap/gradient colors, zone coloring, and more.
On Balance Volume WaveIntroducing an Enhanced Version of the Classic OBV Indicator
The On-Balance Volume (OBV) indicator is a well-known tool among traders, celebrated for its ability to track momentum by using volume flow to predict changes in stock price. For an overview of the original OBV indicator, please visit: www.tradingview.com .
What Makes This Version Different?
This enhanced version of the OBV indicator incorporates advanced signal processing techniques to bring new depth to market analysis. Here's what sets it apart:
Standard Deviation Bands and EMAs: These additions to the OBV offer a visual representation of significant market movements—highlighting major pumps and dumps, as well as identifying potential support and resistance levels.
Color-Coded Insights: The standard deviation bands utilize color coding based on signal processing principles. This feature becomes increasingly useful the more you zoom out, making it easier to observe and interpret market waves.
Market Maker Activity: By examining fluctuations within the standard deviation bands, traders can gauge when Market Makers are actively maneuvering to establish their long and short positions, often at the expense of retail traders.
EMA Support and Resistance: The embedded Exponential Moving Averages (EMAs) serve as dynamic support and resistance levels. Analyzing these can help traders determine the continuing strength of a market move, whether bullish or bearish.
Visual Guide to the Basics
For a clearer understanding of what this enhanced indicator can show, please refer to the image below:
And in addition to all the above one can detect relevant W and M structures way easier with this indicator ;)
Cumulative Volume Price (Candle Body, High-Low)Indicator Description: Cumulative Volume Price (Candle Body, High Low)
This indicator features three cumulative plots that continuously accumulate values over time.
Cumulative Volume Plot:
The first plot displays the cumulative volume, calculated by continuously adding the volume values from zero.
Cumulative Candle Body Width Plot:
The second plot displays the cumulative width of the candle bodies, obtained by continuously adding the actual body widths from zero.
Cumulative Candle High-Low Width Plot:
The third plot displays the cumulative width of the candle high-low ranges, calculated by continuously adding the widths between the high and low prices from zero.
Usage Guidelines:
Due to the different orders of magnitude in value range used for volume and candlesticks, it is advisable to typically select and display any single plot.
説明
このインジケーターは、時間の経過とともに値を累積し続ける3つのプロットを備えています。
累積ボリューム:
ボリュームの値をゼロから累積的に加算しています。
ローソク足の累積実体幅:
ローソク足の実体幅の値をゼロから累積的に加算しています。
ローソク足の累積高安幅:
ローソク足の高安の幅の値をゼロから累積的に表示しています。
使用ガイドライン:
ボリュームとローソク足で使用する数値のオーダーが異なるため、通常は任意の一本を選択して表示することを想定しています。
TASC 2024.01 Gap Momentum System█ OVERVIEW
TASC's January 2024 edition of Traders' Tips features an article titled “Gap Momentum” by Perry J. Kaufman. The article discusses how a trader might create a momentum strategy based on opening gap data. This script implements the Gap Momentum system presented therein.
█ CONCEPTS
In the article, Perry J. Kaufman introduces Gap Momentum as a cumulative series constructed in the same way as On-Balance Volume (OBV) , but using gap openings (today’s open minus yesterday’s close).
To smoothen the resulting time series (i.e., obtain the " signal line "), the author applies a simple moving average . Subsequently, he proposes the following two trading rules for a long-only trading system:
• Enter a long position when the signal line is moving higher.
• Exit when the signal line is moving lower.
█ CALCULATIONS
The calculation of Gap Momentum involves the following steps:
1. Calculate the ratio of the sum of positive gaps over the past N days to the sum of negative gaps (absolute values) over the same time period.
2. Add the resulting gap ratio to the cumulative time series. This time series is the Gap Momentum.
3. Keep moving forward, as in an N-day moving average.
Klinger Oscillator AdvancedThe Klinger Oscillator is not fully implemented in Tradeview. While the description at de.tradingview.com is complete, the implementation is limited to the pure current volume movement. This results in no difference compared to the On Balance Volume indicator.
However, Klinger's goal was to incorporate the trend as volume force in its strength and duration into the calculation. The expression ((V x x T x 100)) for volume force only makes sense as an absolute value, which should probably be expressed as ((V x abs(2 x ((dm/cm) - 1)) x T x 100)). Additionally, there is a need to handle the theoretical possibility of cm == 0.
Since, in general, significantly more trading volume occurs at the closing price than during the day, an additional parameter for weighting the closing price is implemented. In intraday charts, considering the closing price, in my opinion, does not make sense.
The TradeView implementation is displayed on the chart for comparison. Particularly in the analysis of divergence, significant deviations become apparent.
Opportunity_SniperThis script is based on divergence situation related to momentum and price.
For this we have 4 strategies divergence calculation :
So user can choose which strategy will be applied on chart from input. one of them or all of them.
Also user can activate swing High ang swing Low be shown on chart.
Below explanation of strategy what is doing :
Strategy 1 or Strategy 2 script tracks the price and compares it with momentum indicators to detect positif and negative divergnce
While strategy 3, script monitors the momentum and compares it with the price to detect positif and negative divergnce
Finally strategy 4, script monitors the momentum and compares it with the volume to detect positif and negative divergnce
How to use or benefit from script:
For Long position :
Depending on whiche strategy you will choose, when the Div Buy stgx signal appears, this means the appearance of Divergence, which leads to the beginning of bull Buy Momentum.
Wait for the conf Buy signal to appear and confirm your long entry and put your Stop Loss below the last swing low candle
For short position :
Depending on whiche strategy you will choose, When the Div Sell stgx signal appears, this means that Divergence has appeared, which leads to the start of Bearish Sell Momentum.
Wait for the conf Sell signal to appear and confirm your short entry and put your Stop Loss above the last swing high candle
Disclaimer
The content within my Scripts, Indicators, Ideas, Algorithms, and Systems is not intended as financial advice or an invitation to trade or invest in any securities.
I disclaim liability for any losses or damages, including loss of profit, arising directly or indirectly from reliance on the information provided.
All investments entail risks, and past performance of securities, industries, sectors, markets,
financial products, trading strategies, backtests, or individual trading does not guarantee future outcomes or returns.
Traders bear full responsibility for their investment choices, predicated on their financial circumstances, objectives, risk tolerance, and liquidity requirements.
My Scripts, Indicators, Ideas, Algorithms, and Systems are purely for educational purposes!
OBV Daily High Low Box Realtime (On Balance Volume)Overview
This indicator plots horizontal lines at the daily high and low levels of the On Balance Volume (OBV).
The numerical lines for each day are updated in real-time as the OBV high and low values change.
Please note that there are limitations on how far back in history the indicator can go due to Pine Script's object drawing limitations.
Multi-Asset Performance [Spaghetti] - By LeviathanThis indicator visualizes the cumulative percentage changes or returns of 30 symbols over a given period and offers a unique set of tools and data analytics for deeper insight into the performance of different assets.
Multi Asset Performance indicator (also called “Spaghetti”) makes it easy to monitor the changes in Price, Open Interest, and On Balance Volume across multiple assets simultaneously, distinguish assets that are overperforming or underperforming, observe the relative strength of different assets or currencies, use it as a tool for identifying mean reversion opportunities and even for constructing pairs trading strategies, detect "risk-on" or "risk-off" periods, evaluate statistical relationships between assets through metrics like correlation and beta, construct hedging strategies, trade rotations and much more.
Start by selecting a time period (e.g., 1 DAY) to set the interval for when data is reset. This will provide insight into how price, open interest, and on-balance volume change over your chosen period. In the settings, asset selection is fully customizable, allowing you to create three groups of up to 30 tickers each. These tickers can be displayed in a variety of styles and colors. Additional script settings offer a range of options, including smoothing values with a Simple Moving Average (SMA), highlighting the top or bottom performers, plotting the group mean, applying heatmap/gradient coloring, generating a table with calculations like beta, correlation, and RSI, creating a profile to show asset distribution around the mean, and much more.
One of the most important script tools is the screener table, which can display:
🔸 Percentage Change (Represents the return or the percentage increase or decrease in Price/OI/OBV over the current selected period)
🔸 Beta (Represents the sensitivity or responsiveness of asset's returns to the returns of a benchmark/mean. A beta of 1 means the asset moves in tandem with the market. A beta greater than 1 indicates the asset is more volatile than the market, while a beta less than 1 indicates the asset is less volatile. For example, a beta of 1.5 means the asset typically moves 150% as much as the benchmark. If the benchmark goes up 1%, the asset is expected to go up 1.5%, and vice versa.)
🔸 Correlation (Describes the strength and direction of a linear relationship between the asset and the mean. Correlation coefficients range from -1 to +1. A correlation of +1 means that two variables are perfectly positively correlated; as one goes up, the other will go up in exact proportion. A correlation of -1 means they are perfectly negatively correlated; as one goes up, the other will go down in exact proportion. A correlation of 0 means that there is no linear relationship between the variables. For example, a correlation of 0.5 between Asset A and Asset B would suggest that when Asset A moves, Asset B tends to move in the same direction, but not perfectly in tandem.)
🔸 RSI (Measures the speed and change of price movements and is used to identify overbought or oversold conditions of each asset. The RSI ranges from 0 to 100 and is typically used with a time period of 14. Generally, an RSI above 70 indicates that an asset may be overbought, while RSI below 30 signals that an asset may be oversold.)
⚙️ Settings Overview:
◽️ Period
Periodic inputs (e.g. daily, monthly, etc.) determine when the values are reset to zero and begin accumulating again until the period is over. This visualizes the net change in the data over each period. The input "Visible Range" is auto-adjustable as it starts the accumulation at the leftmost bar on your chart, displaying the net change in your chart's visible range. There's also the "Timestamp" option, which allows you to select a specific point in time from where the values are accumulated. The timestamp anchor can be dragged to a desired bar via Tradingview's interactive option. Timestamp is particularly useful when looking for outperformers/underperformers after a market-wide move. The input positioned next to the period selection determines the timeframe on which the data is based. It's best to leave it at default (Chart Timeframe) unless you want to check the higher timeframe structure of the data.
◽️ Data
The first input in this section determines the data that will be displayed. You can choose between Price, OI, and OBV. The second input lets you select which one out of the three asset groups should be displayed. The symbols in the asset group can be modified in the bottom section of the indicator settings.
◽️ Appearance
You can choose to plot the data in the form of lines, circles, areas, and columns. The colors can be selected by choosing one of the six pre-prepared color palettes.
◽️ Labeling
This input allows you to show/hide the labels and select their appearance and size. You can choose between Label (colored pointed label), Label and Line (colored pointed label with a line that connects it to the plot), or Text Label (colored text).
◽️ Smoothing
If selected, this option will smooth the values using a Simple Moving Average (SMA) with a custom length. This is used to reduce noise and improve the visibility of plotted data.
◽️ Highlight
If selected, this option will highlight the top and bottom N (custom number) plots, while shading the others. This makes the symbols with extreme values stand out from the rest.
◽️ Group Mean
This input allows you to select the data that will be considered as the group mean. You can choose between Group Average (the average value of all assets in the group) or First Ticker (the value of the ticker that is positioned first on the group's list). The mean is then used in calculations such as correlation (as the second variable) and beta (as a benchmark). You can also choose to plot the mean by clicking on the checkbox.
◽️ Profile
If selected, the script will generate a vertical volume profile-like display with 10 zones/nodes, visualizing the distribution of assets below and above the mean. This makes it easy to see how many or what percentage of assets are outperforming or underperforming the mean.
◽️ Gradient
If selected, this option will color the plots with a gradient based on the proximity of the value to the upper extreme, zero, and lower extreme.
◽️ Table
This section includes several settings for the table's appearance and the data displayed in it. The "Reference Length" input determines the number of bars back that are used for calculating correlation and beta, while "RSI Length" determines the length used for calculating the Relative Strength Index. You can choose the data that should be displayed in the table by using the checkboxes.
◽️ Asset Groups
This section allows you to modify the symbols that have been selected to be a part of the 3 asset groups. If you want to change a symbol, you can simply click on the field and type the ticker of another one. You can also show/hide a specific asset by using the checkbox next to the field.
Buyer/Seller Dominance ©TMW
The "Buyer/Seller Dominance" indicator script, developed by Deepanshu Sharma under The Market Wisdom (TMW), is a powerful analytical tool designed for use on the TradingView platform. This script is released under the Mozilla Public License 2.0, and it offers traders and investors an innovative perspective on market dynamics by assessing the relative strength of buyers and sellers within a given time frame.
Key Features:
1. Dominance Calculation: The indicator calculates the dominance of buyers and sellers over a specified number of candles. Users can define the number of candles (`n`) to consider in the dominance calculation.
2. Visual Representation: The script provides a visual representation of buyer and seller dominance using colored columns on the price chart. Green columns represent buyer dominance, while red columns represent seller dominance.
3. Balance Line: The indicator includes a dashed horizontal line at the zero level, representing a balance point between buyer and seller dominance. When the green and red columns cross this line, it signifies shifts in market sentiment.
How it Works:
The script divides the historical price data into segments of specified candle count (`n`) and assesses each segment's dominance. It calculates the volume associated with both green (bullish) and red (bearish) candles within each segment.
If a candle's closing price is higher than its opening price, it is considered a green candle. Similarly, if the closing price is lower than the opening price, the candle is classified as red. The volume of each respective type of candle is then accumulated for each segment.
The script plots the cumulative green candle volume as the "Buyer Dominance" column and the cumulative red candle volume as the "Seller Dominance" column. This visual representation helps traders gauge the ebb and flow of buyer and seller strength in the market.
Disclaimer :
The indicator is provided for informational purposes only and should not be considered as financial advice. It's important to conduct thorough research and analysis before making any trading decisions. The creator, Deepanshu Sharma, and "The Market Wisdom" team are not responsible for any trading losses incurred based on the usage of this indicator.
Remember that trading involves risks, and historical performance may not necessarily predict future results. Always consider multiple indicators, market trends, and risk management strategies when making trading decisions.
TAPLOT Enhanced On Balance VolumePlease research more on your own the different ways you can use OBV, this post is not about the indicator itself but about the “enhancements” I coded on top of this volume indicator. But here is a quick overview:
The On-Balance Volume (OBV) indicator is a technical indicator that measures the flow of positive and negative volume. The indicator adds volume on days when the price rises and subtracts it on days when the price declines.
It's considered a leading indicator because volume often leads price. An up trending OBV line is an indication of institutional accumulation.
Enhancements:
1) Dots to indicate OBV line New High (NH) and New High Before Price (NHBP).
The look back period by default is set to 3 months but could be changed to 6 or 12 months from indicator setting.
An OBV line that is making NHBP increases success probabilities of a long trade setup.
2) The OBV line changes color depending on the Up/Down Volume Ratio to quickly visualize the intensity of buying and selling pressure.
Up/Down volume ratio of 1 and above indicates buying pressure. The higher the ration the more intense is the buying and visa versa.
Here is an example of SHOP from June 2021 that has the characteristics that increase the probability of this long setup being successful.
SHOP OBV turning Blue in May indicating buying pressure taking over.
While the stock was setting up (and pulling back in June), there was 6 NHBP dots indicating stock being accumulated.
You can also see how OBV line color goes from Blue (Buying pressure), to Cyan (Moderate buying pressure), to Green (Strong buying pressure) all while the setup is forming. Again, indicating stock being "quietly" accumulated.
