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real_time_candlesIntroduction The Real-Time Candles Library provides comprehensive tools for creating, manipulating, and visualizing custom timeframe candles in Pine Script. Unlike standard indicators that only update at bar close, this library enables real-time visualization of price action and indicators within the current bar, offering traders unprecedented insight into market dynamics as they unfold. This library addresses a fundamental limitation in traditional technical analysis: the inability to see how indicators evolve between bar closes. By implementing sophisticated real-time data processing techniques, traders can now observe indicator movements, divergences, and trend changes as they develop, potentially identifying trading opportunities much earlier than with conventional approaches. Key Features The library supports two primary candle generation approaches: Chart-Time Candles: Generate real-time OHLC data for any variable (like RSI, MACD, etc.) while maintaining synchronization with chart bars. Custom Timeframe (CTF) Candles: Create candles with custom time intervals or tick counts completely independent of the chart's native timeframe. Both approaches support traditional candlestick and Heikin-Ashi visualization styles, with options for moving average overlays to smooth the data. Configuration Requirements For optimal performance with this library: Set max_bars_back = 5000 in your script settings When using CTF drawing functions, set max_lines_count = 500, max_boxes_count = 500, and max_labels_count = 500 These settings ensure that you will be able to draw correctly and will avoid any runtime errors. Usage Examples Basic Chart-Time Candle Visualization // Create real-time candles for RSI float rsi = ta.rsi(close, 14) Candle rsi_candle = candle_series(rsi, CandleType.candlestick) // Plot the candles using Pine's built-in function plotcandle(rsi_candle.Open, rsi_candle.High, rsi_candle.Low, rsi_candle.Close, "RSI Candles", rsi_candle.candle_color, rsi_candle.candle_color) Multiple Access Patterns The library provides three ways to access candle data, accommodating different programming styles: // 1. Array-based access for collection operations Candle candles = candle_array(source) // 2. Object-oriented access for single entity manipulation Candle candle = candle_series(source) float value = candle.source(Source.HLC3) // 3. Tuple-based access for functional programming styles = candle_tuple(source) Custom Timeframe Examples // Create 20-second candles with EMA overlay plot_ctf_candles( source = close, candle_type = CandleType.candlestick, sample_type = SampleType.Time, number_of_seconds = 20, timezone = -5, tied_open = true, ema_period = 9, enable_ema = true ) // Create tick-based candles (new candle every 15 ticks) plot_ctf_tick_candles( source = close, candle_type = CandleType.heikin_ashi, number_of_ticks = 15, timezone = -5, tied_open = true ) Advanced Usage with Custom Visualization // Get custom timeframe candles without automatic plotting CandleCTF my_candles = ctf_candles_array( source = close, candle_type = CandleType.candlestick, sample_type = SampleType.Time, number_of_seconds = 30 ) // Apply custom logic to the candles float ema_values = my_candles.ctf_ema(14) // Draw candles and EMA using time-based coordinates my_candles.draw_ctf_candles_time() ema_values.draw_ctf_line_time(line_color = #FF6D00) Library Components Data Types Candle: Structure representing chart-time candles with OHLC, polarity, and visualization properties CandleCTF: Extended candle structure with additional time metadata for custom timeframes TickData: Structure for individual price updates with time deltas Enumerations CandleType: Specifies visualization style (candlestick or Heikin-Ashi) Source: Defines price components for calculations (Open, High, Low, Close, HL2, etc.) SampleType: Sets sampling method (Time-based or Tick-based) Core Functions get_tick(): Captures current price as a tick data point candle_array(): Creates an array of candles from price updates candle_series(): Provides a single candle based on latest data candle_tuple(): Returns OHLC values as a tuple ctf_candles_array(): Creates custom timeframe candles without rendering Visualization Functions source(): Extracts specific price components from candles candle_ctf_to_float(): Converts candle data to float arrays ctf_ema(): Calculates exponential moving averages for candle arrays draw_ctf_candles_time(): Renders candles using time coordinates draw_ctf_candles_index(): Renders candles using bar index coordinates draw_ctf_line_time(): Renders lines using time coordinates draw_ctf_line_index(): Renders lines using bar index coordinates Technical Implementation Notes This library leverages Pine Script's varip variables for state management, creating a sophisticated real-time data processing system. The implementation includes: Efficient tick capturing: Samples price at every execution, maintaining temporal tracking with time deltas Smart state management: Uses a hybrid approach with mutable updates at index 0 and historical preservation at index 1+ Temporal synchronization: Manages two time domains (chart time and custom timeframe) The tooltip implementation provides crucial temporal context for custom timeframe visualizations, allowing users to understand exactly when each candle formed regardless of chart timeframe. Limitations Custom timeframe candles cannot be backtested due to Pine Script's limitations with historical tick data Real-time visualization is only available during live chart updates Maximum history is constrained by Pine Script's array size limits Applications Indicator visualization: See how RSI, MACD, or other indicators evolve in real-time Volume analysis: Create custom volume profiles independent of chart timeframe Scalping strategies: Identify short-term patterns with precisely defined time windows Volatility measurement: Track price movement characteristics within bars Custom signal generation: Create entry/exit signals based on custom timeframe patterns Conclusion The Real-Time Candles Library bridges the gap between traditional technical analysis (based on discrete OHLC bars) and the continuous nature of market movement. By making indicators more responsive to real-time price action, it gives traders a significant edge in timing and decision-making, particularly in fast-moving markets where waiting for bar close could mean missing important opportunities. Whether you're building custom indicators, researching price patterns, or developing trading strategies, this library provides the foundation for sophisticated real-time analysis in Pine Script. Implementation Details & Advanced Guide Core Implementation Concepts The Real-Time Candles Library implements a sophisticated event-driven architecture within Pine Script's constraints. At its heart, the library creates what's essentially a reactive programming framework handling continuous data streams. Tick Processing System The foundation of the library is the get_tick() function, which captures price updates as they occur: export get_tick(series float source = close, series float na_replace = na)=> varip float price = na varip int series_index = -1 varip int old_time = 0 varip int new_time = na varip float time_delta = 0 // ... This function: Samples the current price Calculates time elapsed since last update Maintains a sequential index to track updates The resulting TickData structure serves as the fundamental building block for all candle generation. State Management Architecture The library employs a sophisticated state management system using varip variables, which persist across executions within the same bar. This creates a hybrid programming paradigm that's different from standard Pine Script's bar-by-bar model. For chart-time candles, the core state transition logic is: // Real-time update of current candle candle_data := Candle.new(Open, High, Low, Close, polarity, series_index, candle_color) candles.set(0, candle_data) // When a new bar starts, preserve the previous candle if clear_state candles.insert(1, candle_data) price.clear() // Reset state for new candle Open := Close price.push(Open) series_index += 1 This pattern of updating index 0 in real-time while inserting completed candles at index 1 creates an elegant solution for maintaining both current state and historical data. Custom Timeframe Implementation The custom timeframe system manages its own time boundaries independent of chart bars: bool clear_state = switch settings.sample_type SampleType.Ticks => cumulative_series_idx >= settings.number_of_ticks SampleType.Time => cumulative_time_delta >= settings.number_of_seconds This dual-clock system synchronizes two time domains: Pine's execution clock (bar-by-bar processing) The custom timeframe clock (tick or time-based) The library carefully handles temporal discontinuities, ensuring candle formation remains accurate despite irregular tick arrival or market gaps. Advanced Usage Techniques 1. Creating Custom Indicators with Real-Time Candles To develop indicators that process real-time data within the current bar: // Get real-time candles for your data Candle rsi_candles = candle_array(ta.rsi(close, 14)) // Calculate indicator values based on candle properties float signal = ta.ema(rsi_candles.first().source(Source.Close), 9) // Detect patterns that occur within the bar bool divergence = close > close and rsi_candles.first().Close < rsi_candles.get(1).Close 2. Working with Custom Timeframes and Plotting For maximum flexibility when visualizing custom timeframe data: // Create custom timeframe candles CandleCTF volume_candles = ctf_candles_array( source = volume, candle_type = CandleType.candlestick, sample_type = SampleType.Time, number_of_seconds = 60 ) // Convert specific candle properties to float arrays float volume_closes = volume_candles.candle_ctf_to_float(Source.Close) // Calculate derived values float volume_ema = volume_candles.ctf_ema(14) // Create custom visualization volume_candles.draw_ctf_candles_time() volume_ema.draw_ctf_line_time(line_color = color.orange) 3. Creating Hybrid Timeframe Analysis One powerful application is comparing indicators across multiple timeframes: // Standard chart timeframe RSI float chart_rsi = ta.rsi(close, 14) // Custom 5-second timeframe RSI CandleCTF ctf_candles = ctf_candles_array( source = close, candle_type = CandleType.candlestick, sample_type = SampleType.Time, number_of_seconds = 5 ) float fast_rsi_array = ctf_candles.candle_ctf_to_float(Source.Close) float fast_rsi = fast_rsi_array.first() // Generate signals based on divergence between timeframes bool entry_signal = chart_rsi < 30 and fast_rsi > fast_rsi_array.get(1) Final Notes This library represents an advanced implementation of real-time data processing within Pine Script's constraints. By creating a reactive programming framework for handling continuous data streams, it enables sophisticated analysis typically only available in dedicated trading platforms. The design principles employed—including state management, temporal processing, and object-oriented architecture—can serve as patterns for other advanced Pine Script development beyond this specific application. ------------------------ Library "real_time_candles" A comprehensive library for creating real-time candles with customizable timeframes and sampling methods. Supports both chart-time and custom-time candles with options for candlestick and Heikin-Ashi visualization. Allows for tick-based or time-based sampling with moving average overlay capabilities. get_tick(source, na_replace)   Captures the current price as a tick data point   Parameters:      source (float) : Optional - Price source to sample (defaults to close)      na_replace (float) : Optional - Value to use when source is na   Returns: TickData structure containing price, time since last update, and sequential index candle_array(source, candle_type, sync_start, bullish_color, bearish_color)   Creates an array of candles based on price updates   Parameters:      source (float) : Optional - Price source to sample (defaults to close)      candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)      sync_start (simple bool) : Optional - Whether to synchronize with the start of a new bar      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles   Returns: Array of Candle objects ordered with most recent at index 0 candle_series(source, candle_type, wait_for_sync, bullish_color, bearish_color)   Provides a single candle based on the latest price data   Parameters:      source (float) : Optional - Price source to sample (defaults to close)      candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)      wait_for_sync (simple bool) : Optional - Whether to wait for a new bar before starting      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles   Returns: A single Candle object representing the current state candle_tuple(source, candle_type, wait_for_sync, bullish_color, bearish_color)   Provides candle data as a tuple of OHLC values   Parameters:      source (float) : Optional - Price source to sample (defaults to close)      candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)      wait_for_sync (simple bool) : Optional - Whether to wait for a new bar before starting      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles   Returns: Tuple representing current candle values method source(self, source, na_replace)   Extracts a specific price component from a Candle   Namespace types: Candle   Parameters:      self (Candle)      source (series Source) : Type of price data to extract (Open, High, Low, Close, or composite values)      na_replace (float) : Optional - Value to use when source value is na   Returns: The requested price value from the candle method source(self, source)   Extracts a specific price component from a CandleCTF   Namespace types: CandleCTF   Parameters:      self (CandleCTF)      source (simple Source) : Type of price data to extract (Open, High, Low, Close, or composite values)   Returns: The requested price value from the candle as a varip method candle_ctf_to_float(self, source)   Converts a specific price component from each CandleCTF to a float array   Namespace types: array   Parameters:      self (array)      source (simple Source) : Optional - Type of price data to extract (defaults to Close)   Returns: Array of float values extracted from the candles, ordered with most recent at index 0 method ctf_ema(self, ema_period)   Calculates an Exponential Moving Average for a CandleCTF array   Namespace types: array   Parameters:      self (array)      ema_period (simple float) : Period for the EMA calculation   Returns: Array of float values representing the EMA of the candle data, ordered with most recent at index 0 method draw_ctf_candles_time(self, sample_type, number_of_ticks, number_of_seconds, timezone)   Renders custom timeframe candles using bar time coordinates   Namespace types: array   Parameters:      self (array)      sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks), used for tooltips      number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks), used for tooltips      number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time), used for tooltips      timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12), used for tooltips   Returns: void - Renders candles on the chart using time-based x-coordinates method draw_ctf_candles_index(self, sample_type, number_of_ticks, number_of_seconds, timezone)   Renders custom timeframe candles using bar index coordinates   Namespace types: array   Parameters:      self (array)      sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks), used for tooltips      number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks), used for tooltips      number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time), used for tooltips      timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12), used for tooltips   Returns: void - Renders candles on the chart using index-based x-coordinates method draw_ctf_line_time(self, source, line_size, line_color)   Renders a line representing a price component from the candles using time coordinates   Namespace types: array   Parameters:      self (array)      source (simple Source) : Optional - Type of price data to extract (defaults to Close)      line_size (simple int) : Optional - Width of the line      line_color (simple color) : Optional - Color of the line   Returns: void - Renders a connected line on the chart using time-based x-coordinates method draw_ctf_line_time(self, line_size, line_color)   Renders a line from a varip float array using time coordinates   Namespace types: array   Parameters:      self (array)      line_size (simple int) : Optional - Width of the line, defaults to 2      line_color (simple color) : Optional - Color of the line   Returns: void - Renders a connected line on the chart using time-based x-coordinates method draw_ctf_line_index(self, source, line_size, line_color)   Renders a line representing a price component from the candles using index coordinates   Namespace types: array   Parameters:      self (array)      source (simple Source) : Optional - Type of price data to extract (defaults to Close)      line_size (simple int) : Optional - Width of the line      line_color (simple color) : Optional - Color of the line   Returns: void - Renders a connected line on the chart using index-based x-coordinates method draw_ctf_line_index(self, line_size, line_color)   Renders a line from a varip float array using index coordinates   Namespace types: array   Parameters:      self (array)      line_size (simple int) : Optional - Width of the line, defaults to 2      line_color (simple color) : Optional - Color of the line   Returns: void - Renders a connected line on the chart using index-based x-coordinates plot_ctf_tick_candles(source, candle_type, number_of_ticks, timezone, tied_open, ema_period, bullish_color, bearish_color, line_width, ema_color, use_time_indexing)   Plots tick-based candles with moving average   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to display      number_of_ticks (simple int) : Number of ticks per candle      timezone (simple int) : Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Whether to tie open price to close of previous candle      ema_period (simple float) : Period for the exponential moving average      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      line_width (simple int) : Optional - Width of the moving average line, defaults to 2      ema_color (color) : Optional - Color of the moving average line      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart with EMA overlay plot_ctf_tick_candles(source, candle_type, number_of_ticks, timezone, tied_open, bullish_color, bearish_color, use_time_indexing)   Plots tick-based candles without moving average   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to display      number_of_ticks (simple int) : Number of ticks per candle      timezone (simple int) : Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Whether to tie open price to close of previous candle      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart without moving average plot_ctf_time_candles(source, candle_type, number_of_seconds, timezone, tied_open, ema_period, bullish_color, bearish_color, line_width, ema_color, use_time_indexing)   Plots time-based candles with moving average   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to display      number_of_seconds (simple float) : Time duration per candle in seconds      timezone (simple int) : Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Whether to tie open price to close of previous candle      ema_period (simple float) : Period for the exponential moving average      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      line_width (simple int) : Optional - Width of the moving average line, defaults to 2      ema_color (color) : Optional - Color of the moving average line      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart with EMA overlay plot_ctf_time_candles(source, candle_type, number_of_seconds, timezone, tied_open, bullish_color, bearish_color, use_time_indexing)   Plots time-based candles without moving average   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to display      number_of_seconds (simple float) : Time duration per candle in seconds      timezone (simple int) : Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Whether to tie open price to close of previous candle      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart without moving average plot_ctf_candles(source, candle_type, sample_type, number_of_ticks, number_of_seconds, timezone, tied_open, ema_period, bullish_color, bearish_color, enable_ema, line_width, ema_color, use_time_indexing)   Unified function for plotting candles with comprehensive options   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Optional - Type of candle chart to display      sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks)      number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks)      number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time)      timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12)      tied_open (simple bool) : Optional - Whether to tie open price to close of previous candle      ema_period (simple float) : Optional - Period for the exponential moving average      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles      enable_ema (bool) : Optional - Whether to display the EMA overlay      line_width (simple int) : Optional - Width of the moving average line, defaults to 2      ema_color (color) : Optional - Color of the moving average line      use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index   Returns: void - Creates visual candle chart with optional EMA overlay ctf_candles_array(source, candle_type, sample_type, number_of_ticks, number_of_seconds, tied_open, bullish_color, bearish_color)   Creates an array of custom timeframe candles without rendering them   Parameters:      source (float) : Input price source to sample      candle_type (simple CandleType) : Type of candle chart to create (candlestick or Heikin-Ashi)      sample_type (simple SampleType) : Method for sampling data (Time or Ticks)      number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks)      number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time)      tied_open (simple bool) : Optional - Whether to tie open price to close of previous candle      bullish_color (color) : Optional - Color for bullish candles      bearish_color (color) : Optional - Color for bearish candles   Returns: Array of CandleCTF objects ordered with most recent at index 0 Candle   Structure representing a complete candle with price data and display properties   Fields:      Open (series float) : Opening price of the candle      High (series float) : Highest price of the candle      Low (series float) : Lowest price of the candle      Close (series float) : Closing price of the candle      polarity (series bool) : Boolean indicating if candle is bullish (true) or bearish (false)      series_index (series int) : Sequential index identifying the candle in the series      candle_color (series color) : Color to use when rendering the candle      ready (series bool) : Boolean indicating if candle data is valid and ready for use TickData   Structure for storing individual price updates   Fields:      price (series float) : The price value at this tick      time_delta (series float) : Time elapsed since the previous tick in milliseconds      series_index (series int) : Sequential index identifying this tick CandleCTF   Structure representing a custom timeframe candle with additional time metadata   Fields:      Open (series float) : Opening price of the candle      High (series float) : Highest price of the candle      Low (series float) : Lowest price of the candle      Close (series float) : Closing price of the candle      polarity (series bool) : Boolean indicating if candle is bullish (true) or bearish (false)      series_index (series int) : Sequential index identifying the candle in the series      open_time (series int) : Timestamp marking when the candle was opened (in Unix time)      time_delta (series float) : Duration of the candle in milliseconds      candle_color (series color) : Color to use when rendering the candle
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The_Peaceful_Lizard tarafından
27
footprint_typeLibrary "footprint_type" Contains all types for calculating and rendering footprints Inputs   Inputs objects   Fields:      inbalance_percent (series int) : percentage coefficient to determine the Imbalance of price levels      stacked_input (series int) : minimum number of consecutive Imbalance levels required to draw extended lines      show_summary_footprint (series bool) : bool input for show summary footprint      procent_volume_area (series int) : definition size Value area      show_vah (series bool) : bool input for show VAH      show_poc (series bool) : bool input for show POC      show_val (series bool) : bool input for show VAL      color_vah (series color) : color VAH line      color_poc (series color) : color POC line      color_val (series color) : color VAL line      show_volume_profile (series bool)      new_imbalance_cond (series bool) : bool input for setup alert on new imbalance buy and sell      new_imbalance_line_cond (series bool) : bool input for setup alert on new imbalance line buy and sell      stop_past_imbalance_line_cond (series bool) : bool input for setup alert on stop past imbalance line buy and sell Constants   Constants all Constants objects   Fields:      imbalance_high_char (series string) : char for printing buy imbalance      imbalance_low_char (series string) : char for printing sell imbalance      color_title_sell (series color) : color for footprint sell      color_title_buy (series color) : color for footprint buy      color_line_sell (series color) : color for sell line      color_line_buy (series color) : color for buy line      color_title_none (series color) : color None Calculation_data   Calculation_data data for calculating   Fields:      detail_open (array) : array open from calculation timeframe      detail_high (array) : array high from calculation timeframe      detail_low (array) : array low from calculation timeframe      detail_close (array) : array close from calculation timeframe      detail_vol (array) : array volume from calculation timeframe      previos_detail_close (array) : array close from calculation timeframe      isBuyVolume (series bool) : attribute previosly bar buy or sell Footprint_row   Footprint_row objects one footprint row   Fields:      price (series float) : row price      buy_vol (series float) : buy volume      sell_vol (series float) : sell volume      imbalance_buy (series bool) : attribute buy inbalance      imbalance_sell (series bool) : attribute sell imbalance      buy_vol_box (series box) : for ptinting buy volume      sell_vol_box (series box) : for printing sell volume      buy_vp_box (series box) : for ptinting volume profile buy      sell_vp_box (series box) : for ptinting volume profile sell      row_line (series label) : for ptinting row price      empty (series bool) : = true attribute row with zero volume buy and zero volume sell Value_area   Value_area objects for calculating and printing Value area   Fields:      vah_price (series float) : VAH price      poc_price (series float) : POC price      val_price (series float) : VAL price      vah_label (series label) : label for VAH      poc_label (series label) : label for POC      val_label (series label) : label for VAL      vah_line (series line) : line for VAH      poc_level (series line) : line for POC      val_line (series line) : line for VAL Imbalance_line_var_object   Imbalance_line_var_object var objects printing and calculation imbalance line   Fields:      cum_buy_line (array) : line array for saving all history buy imbalance line      cum_sell_line (array) : line array for saving all history sell imbalance line Imbalance_line   Imbalance_line objects printing and calculation imbalance line   Fields:      buy_price_line (array) : float array for saving buy imbalance price level      sell_price_line (array) : float array for saving sell imbalance price level      var_imba_line (Imbalance_line_var_object) : var objects this type Footprint_info_var_object   Footprint_info_var_object var objects for info printing   Fields:      cum_delta (series float) : var delta volume      cum_total (series float) : var total volume      cum_buy_vol (series float) : var buy volume      cum_sell_vol (series float) : var sell volume      cum_info (series table) : table for ptinting Footprint_info   Footprint_info objects for info printing   Fields:      var_info (Footprint_info_var_object) : var objects this type      total (series label) : total volume      delta (series label) : delta volume      summary_label (series label) : label for ptinting Footprint_bar   Footprint_bar all objects one bar with footprint   Fields:      foot_rows (array) : objects one row footprint      val_area (Value_area) : objects Value area      imba_line (Imbalance_line) : objects imbalance line      info (Footprint_info) : objects info - table,label and their variable      row_size (series float) : size rows      total_vol (series float) : total volume one footprint bar      foot_buy_vol (series float) : buy volume one footprint bar      foot_sell_vol (series float) : sell volume one footprint bar      foot_max_price_vol (map) : map with one value - price row with max volume buy + sell      calc_data (Calculation_data) : objects with detail data from calculation resolution Support_objects   Support_objects support object for footprint calculation   Fields:      consts (Constants) : all consts objects      inp (Inputs) : all input objects      bar_index_show_condition (series bool) : calculation bool value for show all objects footprint      row_line_color (series color) : calculation value - color for row price
Pine Script® kütüphanesi
dboichenko tarafından
2
.srb suiteThe essential suite Indicator. that are well integrated to ensure visibility of essential items for trading. it is very cumbersome to put symbol in the Tradingview chart and combine essential individual indicators one by one. Moreover even with such a combination, the chart is messy and visibility is not good. This is because each indicator is not designed with the others in mind. This suite was developed as a composite-solution to that situation, and will make you happy. designed to work in the same pane with open-source indicator by default. Recommended visual order ; Back = .srb suite, Front = .srb suite vol & info individually turn on/off only what you need on the screen. BTC-agg. Volume 4 BTC-spot & 4 BTC-PERP volume aggregated. It might helps you don't miss out on important volume flows. Weighted to spot trading volume when using PERP+spot volume . If enabled, BTC-agg.Vol automatically applied when selecting BTC-pair. --> This is used in calculations involving volumes, such as VWAP. Moving Average 1 x JMA trend ribbon ; Accurately follow short-term trend changes. 3 x EMA ribbon ; zone , not the line. MA extension line ; It provide high visibility to recognize the direction of the MA. SPECIAL TOOLS VWAP with Standard Deviation Bands VWAP ruler BB regular (Dev. 2.0, 2.5) BB Extented (Dev. 2.5, 3.0, 3.5) Fixed Range Volume Profile ; steamlined one, performace tuned & update. SPECIAL TOOLS - Auto Fibonacci Retracement - New GUI 'built-in auto FBR ' has been re-born It shows - retracement Max top/ min bottom ; for higher visibility It shows - current retracement position ; for higher visibility The display of the Fib position that exceeds the regular range is auto-determined according to the price. tradingview | chart setting > Appearance > Top margin 0%, Bottom margin 0% for optimized screen usage tradingview | chart setting > Appearance > Right margin 57 .srb suite vol & info --> Visual Order > Bring to Front .srb suite vol & info --> Pin to scale > No scale (Full-screen) Visual order ; Back = .srb suite, Front = .srb suite vol & info 1. Fib.Retracement core is from tradingview built-in FBR ---> upgrade new-type GUI, and performance tuned. 2. Fixed-range volume-profile core is from the open-source one ---> some update & perf.tuned. --------------------------------------------------------------------------------------------------------------------------------------- if you have any questions freely contact to me by message on tradingview. but please understand that responses may be quite late. Special thanks to all of contributors of community. The script may be freely distributed under the MIT license.
Pine Script® göstergesi
sr_b tarafından
20
VPoC per barThis study prints the current bar VPoC as an horizontal line. It's aimed originally at BTCUSDT pair and 15m timeframe. HOW IT WORKS Zoom In mode: This is the default mode. The study zooms in into the latest 15 1-minute bar candles in order to calculate the 15 minute candle VPoC. Zoom Out mode: The VPoC from the last n bars from the current timeframe that match desired timeframe is shown on each bar. In either case you are recommended to click on the '...' button associated to this study and select 'Visual Order. Bring to Front.' so that it's properly shown in your chart. HOW IT WORKS - Zoom In mode Make sure that '(VP) Zoom into the VP timeframe' setting is set to true. Choose the zoomed in timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting. Change '(VP) Zoomed in timeframe bars per current timeframe bar {15}' to its appropiated value. You just need to divide the current timeframe minutes per the zoomed in timeframe minutes per bar. E.g. If you are in 60 minute timeframe and you want to zoom in into 5 minute timeframe: 60 / 5 = 12 . You will write 12 here. HOW IT WORKS - Zoom Out mode Make sure that '(VP) Zoom into the VP timeframe' setting is set to false. If you are using the Zoom out mode you might want to set '(VP) Print VPoC price as discrete lines {True}' to false. Either choose the zoommed out timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting or turn on the '(VP) Use number of bars (not VP timeframe)' setting in order to use '(VP) Number of bars {100}' as a custom number of bars. WARNING - Zoom In mode last bar The way that PineScript handles security function in last bar might result on the last bar not being accurate enough. SETTINGS __ SETTINGS - Volume Profile (VP) Zoomed timeframe {1 minute}: Timeframe in which to zoom in or zoom out to calculate an accurate VPoC for the current timeframe. (VP) Zoomed in timeframe bars per current timeframe bar {15}: Check 'HOW IT WORKS - Zoom In mode' above. Note : It is only used in 'Zoom in' mode. (VP) Number of bars {100}: If 'Use number of bars (not VP timeframe)' is turned on this setting is used to calculate session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Price levels {24}: Price levels for calculating VPoC. __ SETTINGS - MAIN TURN ON/OFF OPTIONS (VP) Print VPoC price {True}: Show VPoC price (VP) Zoom into the VP timeframe: When set to true the VPoC is calculated by zooming into the lower timeframe. When set to false a higher timeframe (or number of bars) is used. (VP) Realtime Zoom in (Beta): Enable real time zoom for the last bar. It's beta because it would only work with zoomed in timeframe under 60 minutes. And when ratio between zoomout and zoomin is less than 60. Note : It is only used in 'Zoom in' mode. (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line. __ SETTINGS - EXTRA (VP) VPoC color: Change the VPoC color (VP) VPoC line width {1}: Change VPoC line width (in pixels). (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line. CREDITS I have reused and adapted some code from "Poor man's volume profile" study which it's from TradingView IldarAkhmetgaleev user.
Pine Script® göstergesi
ruckard tarafından
34
VHX EMA 135/315📈 EMA 135/315 Cross Strategy – Your Trend Compass with Smart Confirmations 🔍 Core Idea The EMA 135/315 Cross strategy is a trend-following system. It tracks two moving averages: EMA 135 → the “fast” line that reacts to short-term price moves EMA 315 → the “slow” line that reacts to the bigger trend When the fast EMA crosses above the slow EMA → market momentum is turning up → BUY signal 🟢 When the fast EMA crosses below the slow EMA → momentum is turning down → SELL signal 🔴 This gives you a clear entry trigger — no guessing, no overcomplication. ✨ On Your Chart BUY/SELL Arrows 🟢 Green arrow = bullish cross → trend turning up 🔴 Red arrow = bearish cross → trend turning down Trend Info Panel (Top Left) Current Trend: BUY / SELL / Neutral Last Cross: how many bars ago it happened EMA Gap in %: measures the strength of the trend Status: “Approaching” if EMAs are getting close → possible cross soon Automatic TP/SL Levels 📈 TP line (+2% from entry) 📉 SL line (–0.5% from entry) Saves time — you instantly see your target and protection EMA Distance Meter Big % gap = strong trend momentum 🚀 Small % gap = weak or sideways market ⚠️ Real-Time Alerts You get notified when a cross happens, even if you’re away from the screen 🧠 The Logic Behind It The EMA 135 reacts faster → it reflects short-term momentum The EMA 315 moves slower → it reflects the main trend When the fast EMA overtakes the slow EMA: short-term strength now aligns with the long-term trend → higher probability of a sustained move The gap % tells you how strong the alignment is — large gap = cleaner moves, small gap = market in transition “Approaching” status warns that the EMAs are converging, which often happens before a reversal 📊 Boosting the Strategy with Volume Analysis The EMA cross is a strong trigger, but volume confirms the quality of the move: High Volume + Cross → more reliable signal, as strong market participation is pushing the trend Low Volume + Cross → caution, the move might be weak or a false breakout 💡 Tip: Check the volume histogram or a volume-based indicator (e.g., Volume Profile, OBV). On a BUY signal: volume should spike above the recent average. On a SELL signal: watch for strong selling volume bars. 📍 Adding Support & Resistance for Precision Support and resistance levels help filter out bad trades and optimize entries: Best BUY setups: EMA 135 crosses above EMA 315 near a known support zone Bonus if volume confirms the move Avoid buying directly into a strong resistance Best SELL setups: EMA 135 crosses below EMA 315 near a known resistance zone Bonus if selling volume is strong Avoid selling directly into a major support 💡 Use tools like horizontal lines, previous highs/lows, and Volume Profile nodes to spot these zones. 📈 Best Usage Practices Timeframes Lower timeframes (1m–5m) → more signals, but more noise → best for scalping with extra filters Always Combine With Confirmation EMA Cross = Trigger Volume spike = Confirmation S/R zone in your favor = High-probability setup Manage Risk Start with the built-in TP/SL Adjust SL if volatility is higher than usual Consider trailing stop once price moves in your favor Avoid Sideways Markets If EMA gap % is very small and crosses happen often → stand aside until a clear direction forms Use Alerts Set alerts for BUY & SELL crosses so you never miss a setup In short: This isn’t just an EMA cross indicator — it’s a trend system with built-in risk management, strength measurement, and pre-trade preparation. Combine it with volume confirmation and smart use of support/resistance, and you turn a simple signal into a high-probability trading edge.
Pine Script® göstergesi
vncentq tarafından
Z-Score Volume with CVD Clustering Script Title: Z-Score Volume with CVD Clustering & NY VWAP 📘 Description: This indicator combines statistical volume analysis with order flow confirmation to detect high-probability trade zones and volume-based divergences. 📌 Components: Z-Score of Volume: Identifies statistically significant volume surges or drops relative to a moving average baseline. Cumulative Volume Delta (CVD): Gauges net buying vs. selling pressure using high-frequency bid/ask delta. K-Means Clustering: Applies clustering logic to classify each bar into: Cluster 2 – Strong Bullish: Z-Score and CVD both strong Cluster 1 – Divergence / Bull Trap: Z-Score high, but weak CVD Cluster 0 – Neutral / Noise: No clear alignment Anchored VWAP (NY Session Open): Confirms market structure and institutional trend bias from 9:30 AM ET forward. 🎯 Suggested Applications: ✅ 1. Trend Continuation Entries (Add-ons): Look to add to positions when: Cluster 2 signal occurs Price is above the NY session VWAP Price structure has broken out of prior day high/low or range ⚠️ 2. Divergence Detection (Fade Traps): Cluster 1 signals a bearish divergence (e.g., high volume but weak CVD). Especially useful when price is failing to stay above VWAP. Useful for early exits or reversal setups. 📊 3. Volume Profile Confirmation: Combine with fixed or session-based volume profile tools. Use Z-Score clusters to confirm volume spikes into low-volume nodes (LVNs) or during imbalance transitions. 📍 4. VWAP Structure Confirmation: Anchored VWAP acts as a dynamic reference point. Helps confirm acceptance vs. rejection zones at key institutional levels. 📈 Visuals & Alerts: Color-coded volume bars show intensity of Z-Score & CVD confluence CVD Line plots real-time delta bias with green/red coloring Cluster-based shape markers highlight key bars for actionable signals Optional: Add alerts for Cluster 2 above VWAP or Cluster 1 below VWAP ⚙️ Customization Options: Adjustable Z-Score length Custom anchor timeframe for CVD (e.g., 1D or sessions) Adjustable max lookback depth Toggle VWAP inclusion Extendable to include additional filters: RSI, structure break alerts, etc. 🔧 Ideal Use Cases: NY session intraday traders (ES, NQ, CL, 6E, FX pairs) Breakout traders wanting order flow confirmation Mean reversion traders spotting fake moves Volume-based scalpers looking for edge on short-term order imbalance
Pine Script® göstergesi
immediatePerso44773 tarafından
Universal Renko Bars by SiddWolfUniversal Renko Bars or UniRenko Bars is an overlay indicator that applies the logic of Renko charting directly onto a standard candlestick chart. It generates a sequence of price-driven bricks, where each new brick is formed only when the price moves a specific amount, regardless of time. This provides a clean, price-action-focused visualization of the market's trend. WHAT IS UNIVERSAL RENKO BARS? For years, traders have faced a stark choice: the clean, noise-free world of Renko charts, or the rich, time-based context of Candlesticks. Choosing Renko meant giving up your favorite moving averages, volume profiles, and the fundamental sense of time. Choosing Candlesticks meant enduring the market noise that often clouds true price action. But what if you didn't have to choose? Universal Renko Bars is a revolutionary indicator that ends this dilemma. It's not just another charting tool; it's a powerful synthesis that overlays the pure, price-driven logic of Renko bricks directly onto your standard candlestick chart. This hybrid approach gives you the best of both worlds: ❖ The Clarity of Renko: By filtering out the insignificant noise of time, Universal Renko reveals the underlying trend with unparalleled clarity. Up trends are clean successions of green bricks; down trends are clear red bricks. No more guesswork. ❖ The Context of Candlesticks: Because the Renko logic is an overlay, you retain your time axis, your volume data, and full compatibility with every other time-based indicator in your arsenal (RSI, MACD, Moving Averages, etc.). The true magic, however, lies in its live, Unconfirmed Renko brick. This semi-transparent box is your window into the current bar's real-time struggle. It grows, shrinks, and changes color with every tick, showing you exactly how close the price is to confirming the trend or forcing a reversal. It’s no longer a lagging indicator; it’s a live look at the current battle between buyers and sellers. Universal Renko Bars unifies these two powerful charting methods, transforming your chart into a more intelligent, noise-free, and predictive analytical canvas. HOW TO USE To get the most out of Universal Renko Bars, here are a few tips and a full breakdown of the settings. Initial Setup for the Best Experience For the cleanest possible view, it's highly recommended that you hide the body of your standard candlesticks, that shows only the skelton of the candle. This allows the Renko bricks to become the primary focus of your chart. → Double click on the candles and uncheck the body checkbox. Settings Breakdown The indicator is designed to be powerful yet intuitive. The settings are grouped to make customization easy. First, What is a "Tick"? Before we dive in, it's important to understand the concept of a "Tick." In Universal Renko, a Tick is not the same as a market tick. It's a fundamental unit of price movement that you define. For example, if you set the Tick Size to $0.50, then a price move of $1.00 is equal to 2 Ticks. This is the core building block for all Renko bricks. Tick size here is dynamically determined by the settings provided in the indicator. ❖ Calculation Method (The "Tick Size" Engine) This section determines the monetary value of a single "Tick." `Calculation Method` : Choose your preferred engine for defining the Tick Size. `ATR Based` (Default): The Tick Size becomes dynamic, based on market volatility (Average True Range). Bricks will get larger in volatile markets and smaller in quiet ones. Use the `ATR 14 Multiplier` to control the sensitivity. `Percentage` : The Tick Size is a simple percentage of the current asset price, controlled by the `Percent Size (%)` input. `Auto` : The "set it and forget it" mode. The script intelligently calculates a Tick Size based on the asset's price. Use the `Auto Sensitivity` slider to make these automatically calculated bricks thicker (value > 1.0) or thinner (value < 1.0). ❖ Parameters (The Core Renko Engine) This group controls how the bricks are constructed based on the Tick Size. `Tick Trend` : The number of "Ticks" the price must move in the same direction to print a new continuation brick. A smaller value means bricks form more easily. `Tick Reversal` : The number of "Ticks" the price must move in the opposite direction to print a new reversal brick. This is typically set higher than `Tick Trend` (e.g., double) to filter out minor pullbacks and market noise. `Open Offset` : Controls the visual overlap of the bricks. A value of `0` creates gapless bricks that start where the last one ended. A value of `2` (with a `Tick Reversal` of 4) creates the classic 50% overlap look. ❖ Visuals (Controlling What You See) This is where you tailor the chart to your visual preference. `Show Confirmed Renko` : Toggles the solid-colored, historical bricks. These are finalized and will never change. They represent the confirmed past trend. `Show Unconfirmed Renko` : This is the most powerful visual feature. It toggles the live, semi-transparent box that represents the developing brick. It shows you exactly where the price is right now in relation to the levels needed to form the next brick. `Show Max/Min Levels` : Toggles the horizontal "finish lines" on your chart. The green line is the price target for a bullish brick, and the red line is the target for a bearish brick. These are excellent for spotting breakouts. `Show Info Label` : Toggles the on-chart label that provides key real-time stats: 🧱 Bricks: The total count of confirmed bricks. ⏳ Live: How many chart bars the current live brick has been forming. These bars forms the Renko bricks that aren't confirmed yet. Live = 0 means the latest renko brick is confirmed. 🌲 Tick Size: The current calculated value of a single Tick. Hover over the label for a tooltip with live RSI(14), MFI(14), and CCI(20) data for additional confirmation. TRADING STRATEGIES & IDEAS Universal Renko Bars isn't just a visual tool; it's a foundation for building robust trading strategies. Trend Confirmation: The primary use is to instantly identify the trend. A series of green bricks indicates a strong uptrend; a series of red bricks indicates a strong downtrend. Use this to filter out trades that go against the primary momentum. Reversal Spotting: Pay close attention to the Unconfirmed Brick . When a strong trend is in place and the live brick starts to fight against it—changing color and growing larger—it can be an early warning that a reversal is imminent. Wait for the brick to be confirmed for a higher probability entry. Breakout Trading: The `Max/Min Levels` are your dynamic breakout zones. A long entry can be considered when the price breaks and closes above the green Max Level, confirming a new bullish brick. A short entry can be taken when price breaks below the red Min Level. Confluence & Indicator Synergy: This is where Universal Renko truly shines. Overlay a moving average (e.g., 20 EMA). Only take long trades when the green bricks are forming above the EMA. Combine it with RSI or MACD; a bearish reversal brick forming while the RSI shows bearish divergence is a very powerful signal. A FINAL WORD Universal Renko Bars was designed to solve a fundamental problem in technical analysis. It brings together the best elements of two powerful methodologies to give you a clearer, more actionable view of the market. By filtering noise while retaining context, it empowers you to make decisions with greater confidence. Add Universal Renko Bars to your chart today and elevate your analysis. We welcome your feedback and suggestions for future updates! Follow me to get notified when I publish New Indicator. ~ SiddWolf
Pine Script® göstergesi
SiddWolf tarafından
13
Liquidity Sweep Filter [AlgoAlpha]Unlock a deeper understanding of market liquidity with the Liquidity Sweep Filter by AlgoAlpha. This indicator identifies liquidity sweeps, highlighting key price levels where large liquidations have occurred. By visualizing major and minor liquidation events, traders can better anticipate potential reversals and market structure shifts, making this an essential tool for those trading in volatile conditions. Key Features : 🔍 Liquidity Sweep Detection – Identifies and highlights areas where liquidity has been swept, distinguishing between major and minor liquidation events. 📊 Volume Profile Integration – Displays a volume profile overlay, helping traders spot high-activity price zones where the market is likely to react. 📈 Trend-Based Filtering – Utilizes an adaptive trend detection algorithm to refine liquidity sweeps based on market direction, reducing noise. 🎨 Customizable Visualization – Modify colors, thresholds, and display settings to tailor the indicator to your trading style. 🔔 Alerts for Liquidity Sweeps & Trend Changes – Stay ahead of the market by receiving alerts when significant liquidity events or trend shifts occur. How to Use: 🛠 Add the Indicator : Add the Liquidity Sweep Filter to your chart and configure the settings based on your preferred sensitivity. Adjust the major sweep threshold to filter out smaller moves. 📊 Analyze Liquidity Zones and trend direction : Look for liquidation levels where large buy or sell stops have been triggered. Major sweeps indicate strong reactions, while minor sweeps show gradual liquidity absorption. You can also see which levels are high in liquidity by the transparency of the levels. 🔔 Set-Up Alerts : Use the in-built alerts so you don't miss a trading opportunity How It Works : The Liquidity Sweep Filter detects liquidity events by tracking swing highs and lows (defined as a pivot where neighboring candles are lower/higher than it) where traders are likely to have placed stop-loss orders. It evaluates volume and price action, marking areas where liquidity has been absorbed by the market. Additionally, the integrated trend filter ensures that only relevant liquidity sweeps are highlighted based on market direction, lows in an uptrend and highs in a downtrend. The trend filter works by calculating a basis, and defining trend shifts when the closing price crosses over the upper or lower bands.The included volume profile further enhances analysis by displaying key trading zones where price may react.
Pine Script® göstergesi
AlgoAlpha tarafından
29
Range Detect SystemTechnical analysis indicator designed to identify potential significant price ranges and the distribution of volume within those ranges. The system helps traders calculate POC and show volume history. Also detecting breakouts or potential reversals. System identifies ranges with a high probability of price consolidation and helps screen out extreme price moves or ranges that do not meet certain volatility thresholds. ⭕️ Key Features Range Detection — identifies price ranges where consolidation is occurring. Volume Profile Calculation — indicator calculates the Point of Control (POC) based on volume distribution within the identified range, enhancing the analysis of market structure. Volume History — shows where the largest volume was traded from the center of the range. If the volume is greater in the upper part of the range, the color will be green. If the volume is greater in the lower part, the color will be red. Range Filtering — Includes multi-level filtering options to avoid ranges that are too volatile or outside normal ranges. Visual Customization — Shows graphical indicators for potential bullish or bearish crossovers at the upper and lower range boundaries. Users can choose the style and color of the lines, making it easier to visualize ranges and important levels on the chart. Alerts — system will notify you when a range has been created and also when the price leaves the range. ⭕️ How it works Extremes (Pivot Points) are taken as a basis, after confirming the relevance of the extremes we take the upper and lower extremes and form a range. We check if it does not violate a number of rules and filters, perform volume calculations, and only then is the range displayed. Pivot points is a built-in feature that shows an extremum if it has not been updated N bars to the left and N bars to the right. Therefore, there is a delay depending on the bars specified to check, which allows for a more accurate range. This approach allows not to make unnecessary recalculations, which completely eliminates the possibility of redrawing or range changes. ⭕️ Settings Left Bars and Right Bars — Allows you to define the point that is the highest among the specified number of bars to the left and right of this point. Range Logic — Select from which point to draw the range. Maximums only, Minimums only or both. Use Wick — Option to consider the wick of the candles when identifying Range. Breakout Confirmation — The number of bars required to confirm a breakout, after which the range will close. Minimum Range Length — Sets the minimum number of candles needed for a range to be considered valid. Row Size — Number of levels to calculate POC. *Larger values increase the script load. % Range Filter — Dont Show Range is than more N% of Average Range. Multi Filter — Allows use of Bollinger Bands, ATR, SMA, or Highest-Lowest range channels for filtering ranges based on volatility. Range Hit — Shows graphical labels when price hits the upper or lower boundaries of the range, signaling potential reversal or breakout points. Range Start — Show points where Range was created.
Pine Script® göstergesi
HALDRO tarafından
6
PRINT_TYPELibrary "PRINT_TYPE" Inputs   Inputs objects   Fields:      inbalance_percent (series int) : percentage coefficient to determine the Imbalance of price levels      stacked_input (series int) : minimum number of consecutive Imbalance levels required to draw extended lines      show_summary_footprint (series bool)      procent_volume_area (series int) : definition size Value area      new_imbalance_cond (series bool) : bool input for setup alert on new imbalance buy and sell      new_imbalance_line_cond (series bool) : bool input for setup alert on new imbalance line buy and sell      stop_past_imbalance_line_cond (series bool) : bool input for setup alert on stop past imbalance line buy and sell Constants   Constants all Constants objects   Fields:      imbalance_high_char (series string) : char for printing buy imbalance      imbalance_low_char (series string) : char for printing sell imbalance      color_title_sell (series color) : color for footprint sell      color_title_buy (series color) : color for footprint buy      color_line_sell (series color) : color for sell line      color_line_buy (series color) : color for buy line      color_title_none (series color) : color None Calculation_data   Calculation_data data for calculating   Fields:      detail_open (array) : array open from calculation timeframe      detail_high (array) : array high from calculation timeframe      detail_low (array) : array low from calculation timeframe      detail_close (array) : array close from calculation timeframe      detail_vol (array) : array volume from calculation timeframe      previos_detail_close (array) : array close from calculation timeframe      isBuyVolume (series bool) : attribute previosly bar buy or sell Footprint_row   Footprint_row objects one footprint row   Fields:      price (series float) : row price      buy_vol (series float) : buy volume      sell_vol (series float) : sell volume      imbalance_buy (series bool) : attribute buy inbalance      imbalance_sell (series bool) : attribute sell imbalance      buy_vol_box (series box) : for ptinting buy volume      sell_vol_box (series box) : for printing sell volume      buy_vp_box (series box) : for ptinting volume profile buy      sell_vp_box (series box) : for ptinting volume profile sell      row_line (series label) : for ptinting row price      empty (series bool) : = true attribute row with zero volume buy and zero volume sell Imbalance_line_var_object   Imbalance_line_var_object var objects printing and calculation imbalance line   Fields:      cum_buy_line (array) : line array for saving all history buy imbalance line      cum_sell_line (array) : line array for saving all history sell imbalance line Imbalance_line   Imbalance_line objects printing and calculation imbalance line   Fields:      buy_price_line (array) : float array for saving buy imbalance price level      sell_price_line (array) : float array for saving sell imbalance price level      var_imba_line (Imbalance_line_var_object) : var objects this type Footprint_bar   Footprint_bar all objects one bar with footprint   Fields:      foot_rows (array) : objects one row footprint      imba_line (Imbalance_line) : objects imbalance line      row_size (series float) : size rows      total_vol (series float) : total volume one footprint bar      foot_buy_vol (series float) : buy volume one footprint bar      foot_sell_vol (series float) : sell volume one footprint bar      foot_max_price_vol (map) : map with one value - price row with max volume buy + sell      calc_data (Calculation_data) : objects with detail data from calculation resolution Support_objects   Support_objects support object for footprint calculation   Fields:      consts (Constants) : all consts objects      inp (Inputs) : all input objects      bar_index_show_condition (series bool) : calculation bool value for show all objects footprint      row_line_color (series color) : calculation value - color for row price      dop_info (series string)      show_table_cond (series bool)
Pine Script® kütüphanesi
Alesetup tarafından
Volume Heatmap 2024 | NXT2017 Christmas EditionHi big players around the world, I wish you a merry christmas time. Today I have a nice present for you: a new volume heatmap indicator for free using! HISTORY My first volume heatmap project got a lot of feedback and a big demand. You can find it here: In this time pinescript version 4 was the newest one and I worked the first time with arrays. Today we have pinescript version 5 and some new features. This is why I tried again with matrix function and the results are better than I expected. HOW IT WORKS The indicator calculates similar like the volume profile. It looks back and every volume where the close price is on the same row area, the volume will cumulated. How much rows the new chart view is showing, you can choose manually. The mind behind this is to find high volume levels, where high volume catch the price in a range or get function as support/resistance line. PICTURES I hope it helps for your trading. You are welcome to give some comments. Merry christmas and best regards NXT2017
Pine Script® göstergesi
NXT2017 tarafından
10
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.
Pine Script® göstergesi
LeviathanCapital tarafından
87
Liquidity PeaksThe "Liquidity Peaks" indicator is a tool designed to identify significant supply and demand zones based on volumetric analysis. It analyzes the volume profile within a specified lookback range to pinpoint the most volumetric point and draw corresponding zones on the price chart. The 𝐋𝐢𝐪. 𝐏𝐞𝐚𝐤𝐬 indicator utilizes volume data to identify key supply and demand areas on the price chart. By examining the volume profile within a defined lookback range, it highlights three distinct zones: liquidity grab, volume containment, and the most volumetric point. Zones and their meanings: Liquidity grab (Orange box): This zone represents a price level where there is a significant swipe of the previous demand zone within the volume range. It indicates a potential shift in market sentiment and serves as a key supply or demand area. Volume containment (Gray box): This zone displays the area of volume contained before the peak in volume. It provides insights into the range where buying or selling pressure was concentrated, highlighting potential support or resistance levels. Most volumetric point (Light blue box): This zone represents the point within the lookback range that exhibits the highest volume. It signifies a significant area of market interest and indicates a potential supply or demand level. Adjustable options: Adjust liquidity Grab: This option allows you to adjust the size of the boxes. When enabled, the box size is set to twice the size of the high or low of the candle's wick. This adjustment enhances the visibility and accuracy of identifying swipes at specific price levels. Show origin: Enabling this option ensures that the liquidity boxes are drawn from the wick they were created from. This provides a clear visual reference to the specific candle and highlights the liquidity levels associated with it. Utility: The 𝐋𝐢𝐪. 𝐏𝐞𝐚𝐤𝐬 indicator is a valuable tool for traders and investors seeking to identify significant supply and demand zones in the market. By analyzing volume data and drawing corresponding zones on the chart, it helps to pinpoint areas where buying or selling pressure is likely to emerge. Traders can utilize this information to identify potential support and resistance levels, plan their entries and exits, and make more informed trading decisions. The liquidity grab zones can act as potential reversal or breakout points, while the volume containment zones and most volumetric points provide insights into areas of high market interest. It is important to note that this indicator should be used in conjunction with other technical analysis tools and indicators to confirm trading signals and validate market dynamics. Example Charts:
Pine Script® göstergesi
EliCobra tarafından
11
Supply and Demand Daily [LuxAlgo]The Supply and Demand Daily indicator displays daily supply and demand areas on the user's chart. These areas are constructed using the market data within a previous daily interval. This script makes use of the same logic as our previous Supply and Demand Visible Range indicator . 🔶 USAGE The supply/demand areas & levels displayed by the indicator aim to provide potential support/resistance levels for users. Supply areas highlight where buyers are willing to exit the market and sell the asset, thus providing resistance and potentially causing prices to reverse or bounce back downwards, while demand areas highlights where buyers were willing to purchase the asset, thus providing support and potentially causing prices to reverse or bounce back upwards. Historical areas allow the user to study the evolution of supply/demand from one day to another. Wider areas highlight prices avoiding reverting to this area, while thinner areas highlight prices returning more frequently to them. Trends can be determined by looking at the price position relative to the previous day's supply/demand areas. Price breaking down from the demand zone is indicative of a downtrend, while price breaking above the supply zone is indicative of an uptrend. Pullback/throwback scenarios can also be common using this indicator. 🔶 SETTINGS Threshold %: Percentage of the total visible range volume used as a threshold to set supply/demand areas. Higher values return wider areas. Resolution: Determines the number of bins used to find each area. Higher values will return more precise results. Intra-bar TF: Timeframe used to obtain intra-bar data. 🔶 RELATED SCRIPTS
Pine Script® göstergesi
LuxAlgo tarafından
40
Tick Profile HeatmapThis is a market internal TICK heatmap with the intent of displaying areas of price associated to stronger reactions with NYSE TICK (by default). This code is based off of a variation of a Volume Profile coded originally by colejustice who originally used code from LuxAlgo . The full-width volume bars that colejustice setup were replaced with full-width bars representative of TICK breaking +/- $500, the current cumulative value representing the "heat" is comprised of hlc3 by default but that can be changed. In a future update I may add additional logic here to capture highs and lows in the heatmap specifically, and perhaps additional colors. As with other traditional profiling studies, this indicators purpose is to visualize correspondence to specific price levels, allowing rapid assessment where the most TICK activity is occurring, and where it hasn't been. This information may provide areas of support and resistance and regions where price may move quickly repeatedly. All of the same input guidance that colejustice provided is the same for those pre-existing inputs: Inputs are set up such that you can customize the lookback period, number of rows, and width of rows for most major timeframes individually. Timeframes between those available will use the next lower timeframe settings (e.g., 2m chart will use the 1m settings.) Zero usage of volume is present in this indicator, only TICK data so please don't confuse it with volume studies.
Pine Script® göstergesi
TradeSeekers tarafından
4
Modified TradingView's Up/Down Volume [vnhilton] When plotting columns, histograms, etc. You'll notice that the indicator does not stick to the bottom of the pane. To fix this, you need another indicator (we'll call this 'placeholder') in the same pane as this indicator. Pin the placeholder indicator to the left scale, & pin the main indicator to the left scale. Then, pin the placeholder indicator to scale A, & finally the main indictor to the right scale. Note: On the daily timeframes & higher, the up/down volume isn't accurate. Therefore, I've added a feature where you can toggle on the main indicator to disappear & only show ordinary total volume similar to the TradingView volume indicator. The original code belongs to TradingView. This is a modified indicator that displays the down volume above the up volume similar to the volume profile. Also includes a moving average using the total volume, & a feature to display ordinary volume to solve the up/down inaccuracies on the daily timeframe & higher.
Pine Script® göstergesi
vnhilton tarafından
Volume CompressorTurns volume into a more informative representation, ready to be further analyzed ... Rationale Volume Back in the "before the quant" days I was a big fan of market & volume profile. Thing is J. Steidlmayer had lotta different ideas & works aside of profiling, it's just most of them ain't got to mainstream, one of them was "Hot / Cold volume" (yes, you can't really google it). From my interpretation, the idea was that in a given asset there is a usual constant volume that stays there no matter what, and if it ever changes it changes very slow and gradually; and there's another kind of, so to say, 'active' volume that actually influences price dynamics and very volatile by its nature. So I've met concept lately, and decided to quantify & model it one day when I'll have an idea how. That day was yesterday. Compression When we do music we always use different kinds of filters (low-pass, high pass, etc) for equalization and filtering itself. That stuff we use in finance as well. What we also always use in music are compressors, there dynamic processors that automatically adjust volume so it will be more consistent. Almost all the cool music you hear is compressed (both individual instruments (especially vocals) and the whole track afterwards), otherwise stuff will be too quite and too weak to flex on it, and also DJing it would be a nightmare. I am a big adept of loudness war. So I was like, how can I use compression in finance, when ima get an idea? That day was yesterday as well. Volume structure Being inspired by Steidlmayer's idea, I decided to distinguish volume this way: 1) Passive / static volume. The ~ volume that's always there no matter what (hedges, arbitrages, spread legs, portfolio parts etc etc), doesn't affect things; 2) Active / dynamic volume. The volume that flows from one asset to another, really matters and affects things; 3) Excess volume. The last portion of number 2 volume, that doesn't represent any powerful value to affect things. Now it's clear that we can get rid of number 1 and number 3, the components that don't really matter, and concentrate on number 2 in order to improve information gain, both for ourselves and for the models we feed this data. How? Model I don't wanna explain it all in statistical / DSP way for once. First of all, I think the population of volumes is log-normally distributed, so let's take logs of volumes, now we have a ~ normally distributed data. We take linearly weighted mean, add and subtract linearly weighted standard deviation from it, these would be our thresholds, the borders between different kinds of volumes explained before. The upper threshold is for downward compression, that will not let volume pass it higher. The lower threshold is for upward compression, all the volumes lower than this threshold will be brought up to the threshold's level. Then we apply multipliers to the thresholds in order to adjust em and find the sweet spots. We do it the same way as in sound engineering when we don't aim for overcompression, we adjust the thresholds until they start to touch the signal and all good. Afterwards, we delete all the number 1 and number 3 volume, leaving us exclusively with the clear main component, ready to be processed further. We return the volumes to dem real scale. About the parameters, based on testing I don't recommend changing the thresholds from dem default values, first of all they make sense statistically and second they work as intended. Window length can and should be adjusted, find your own way, or leave the default value. ML (moving location) length is up to you as well. So yeah, you can see now we can smooth the data and make it visually appealing not only by applying a smooth filter over it. All good TV?
Pine Script® göstergesi
gorx1 tarafından
8
Volume Footprint [LuxAlgo]This indicator estimates a volume footprint using tick data. The script automatically separates a candle into equidistant intervals with a width obtained from the average true range or a user-given width. Settings Method: Interval width calculation method. This ultimately determines the number of intervals separating one candle. Width (At the right of Method): Atr period or user given width depending on the selected method. A lower user-given width would divide a candle into a higher number of intervals. As Percent: Returns the accumulated volume within each interval as a percentage of the total candle volume. Style Display Type: Determines the appearance of the returned volume footprint. Trend Color: Color to use based on whether a candle is bullish or bearish. Usage When applied to a chart, the user will be asked to select the settings to use for the volume footprint. Note that changing the settings afterward will reset the volume footprint, removing previously generated footprints. A new footprint will appear on the confirmation of a new bar, as such this version might only be useful in lower timeframes. A volume footprint allows users to see the number of contracts exchanged within a candle interval. It can as such be seen as some kind of intrabar volume profile. This can be useful to see areas of interest within a candle. Different Appearance By default, the volume footprint makes use of colored boxes with a color based on whether the candle was bullish or bearish. Another appearance that gives additional information is the gradient type, which uses intervals color based on the number of contracts exchanged within an interval relative to the total volume of the candle. A higher number of contracts within an interval would return a darker color by default. The regular display type makes use of boxes with a single color, with lines on the side indicating whether the candle was bullish or bearish.
Pine Script® göstergesi
LuxAlgo tarafından
51
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios Summary This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry. ________________________________________ Overview Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry. • Anchors define the swing’s Low (L), High (H), and bar count (N). • The user manually enters the VPOC (highest-volume price). • The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement. The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments. ________________________________________ How to Use 1. Select a Swing - Place Anchor A and Anchor B to define the swing’s Low, High, and bar count. 2. Find the VPOC - Apply TradingView’s Fixed Range Volume Profile tool over the same swing. - Identify the Point of Control (POC) — the price level with the highest traded volume. 3. Enter the VPOC - Manually input the POC into the indicator settings. 4. Review Outputs - The table will display candidate ratios expressed mainly as price-per-bar values. 5. Apply in Practice - Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings. ________________________________________ Outputs Swing & Inputs • Bars (N): total bar count of the swing. • Low (L): swing low price. • High (H): swing high price. • ΔP = H − L: price range. • Mid = (L + H) ÷ 2: midpoint price. • VPOC (V): user-entered highest-volume price. • Base slope s0 = ΔP ÷ N: average change per bar. • π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry. ________________________________________ VPOC Harmony Ratios (L, H, V, N) • λ = (V − L) ÷ ΔP: normalized VPOC position within the range. • R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment. • s1 = (V − L) ÷ N: slope from Low → VPOC. • s2 = (H − V) ÷ N: slope from VPOC → High. ________________________________________ Blended Means (s1, s2) These combine the two segment slopes in different ways: • HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope. • GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally. • RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope. • L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined. ________________________________________ Slope Blends • Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²) • Tilted slope: s_tilt = s0 × (0.5 + λ) • Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = − ________________________________________ Curvature & Liquidity Extensions • π-arc × λ: s_arc = sπ × λ • Liquidity-π: s_piV = sπ × (V ÷ Mid) ________________________________________ Scale-Normalized Families With k = sqrt(H ÷ L): • k (scale factor) = sqrt(H ÷ L) • s_comp = s0 ÷ k: compressed slope candidate • s_exp = s0 × k: expanded slope candidate • Exponentiated blends: - s_kλ = s0 × k^(2λ−1) - s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618 - s_√2λ = s0 × (√2)^(2λ−1) ________________________________________ Practical Application All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement. These values are designed for: • Chart compression settings • Testing harmonic alignments across swings • Liquidity-aware scaling experiments ________________________________________
Pine Script® göstergesi
geneclash tarafından
BK AK-SILENCER (P8N)🚨Introducing BK AK-SILENCER (P8N) — Institutional Order Flow Tracking for Silent Precision🚨 After months of meticulous tuning and refinement, I'm proud to unleash the next weapon in my trading arsenal—BK AK-SILENCER (P8N). 🔥 Why "AK-SILENCER"? The True Meaning Institutions don’t announce their moves—they move silently, hidden beneath the noise. The SILENCER is built specifically to detect and track these stealth institutional maneuvers, giving you the power to hunt quietly, execute decisively, and strike precisely before the market catches on. 🔹 "AK" continues the legacy, honoring my mentor, A.K., whose teachings on discipline, precision, and clarity form the cornerstone of my trading. 🔹 "SILENCER" symbolizes the stealth aspect of institutional trading—quiet but deadly moves. This indicator equips you to silently track, expose, and capitalize on their hidden footprints. 🧠 What Exactly is BK AK-SILENCER (P8N)? It's a next-generation Cumulative Volume Delta (CVD) tool crafted specifically for traders who hunt institutional order flow, combining adaptive volatility bands, enhanced momentum gradients, and precise divergence detection into a single deadly-accurate weapon. Built for silent execution—tracking moves quietly and trading with lethal precision. ⚙️ Core Weapon Systems ✅ Institutional CVD Engine → Dynamically measures hidden volume shifts (buying/selling pressure) to reveal institutional footprints that price alone won't show. ✅ Adaptive AK-9 Bollinger Bands → Bollinger Bands placed around a custom CVD signal line, pinpointing exactly when institutional accumulation or distribution reaches critical extremes. ✅ Gradient Momentum Intelligence → Color-coded momentum gradients reveal the strength, speed, and silent intent behind institutional order flow: 🟢 Strong Bullish (aggressive buying) 🟡 Moderate Bullish (steady accumulation) 🔵 Neutral (balance) 🟠 Moderate Bearish (quiet distribution) 🔴 Strong Bearish (aggressive selling) ✅ Silent Divergence Detection → Instantly spots divergence between price and hidden volume—your earliest indication that institutions are stealthily reversing direction. ✅ Background Flash Alerts → Visually highlights institutional extremes through subtle background flashes, alerting you quietly yet powerfully when market-moving players make their silent moves. ✅ Structural & Institutional Clarity → Optional structural pivots, standard deviation bands, volume profile anchors, and session lines clearly identify the exact levels institutions defend or attack silently. 🛡️ Why BK AK-SILENCER (P8N) is Your Edge 🔹 Tracks Institutional Footprints—Silently identifies hidden volume signals of institutional intentions before they’re obvious. 🔹 Precision Execution—Cuts through noise, allowing you to execute silently, confidently, and precisely. 🔹 Perfect for Traders Using: Elliott Wave Gann Methods (Angles, Squares) Fibonacci Time & Price Harmonic Patterns Market Profile & Order Flow Analysis 🎯 How to Use BK AK-SILENCER (P8N) 🔸 Institutional Reversal Hunting (Stealth Mode) Bearish divergence + CVD breaking below lower BB → stealth short signal. Bullish divergence + CVD breaking above upper BB → quiet, early long entry. 🔸 Momentum Confirmation (Silent Strength) Strong bullish gradient + CVD above upper BB → follow institutional buying quietly. Strong bearish gradient + CVD below lower BB → confidently short institutional selling. 🔸 Noise Filtering (Patience & Precision) Neutral gradient (blue) → remain quiet, wait patiently to strike precisely when institutional activity resumes. 🔸 Structural Precision (Institutional Levels) Optional StdDev, POC, Value Areas, Session Anchors clearly identify exact institutional defense/offense zones. 🙏 Final Thoughts Institutions move in silence, leaving subtle footprints. BK AK-SILENCER (P8N) is your specialized weapon for tracking and hunting their quiet, decisive actions before the market reacts. 🔹 Dedicated in deep gratitude to my mentor, A.K.—whose silent wisdom shapes every line of code. 🔹 Engineered for the disciplined, quiet hunter who knows when to wait patiently and when to strike decisively. Above all, honor and gratitude to Gd—the ultimate source of wisdom, clarity, and disciplined execution. Without Him, markets are chaos. With Him, we move silently, purposefully, and precisely. ⚡ Stay Quiet. Stay Precise. Hunt Silently. 🔥 BK AK-SILENCER (P8N) — Track the Silent Moves. Strike with Precision. 🔥 May Gd bless every silent step you take. 🙏
Pine Script® göstergesi
Ki11a_B tarafından
2
Setup Score OscillatorSetup Score Oscillator – Full Description 🎯 Purpose of the Script This script is a manual trading setup scoring tool, designed to help traders quantify the quality of a trade setup by combining multiple technical, cyclical, and contextual signals. Instead of relying on a single indicator, the trader manually selects which signals are present, and the script calculates a total score (0–100%), displayed as an oscillator in a separate panel (like RSI or MACD). 🔧 How it works in practice 1. Manual signal inputs The script presents a set of checkboxes in the settings, where the trader can enable/disable the following signals: ✅ Confirmed Support/Resistance ✅ Aligned Volume Profile ✅ Favorable Cyclic Timing ✅ Valid Trend Line ✅ Aligned Cyclical Moving Averages ✅ Relevant Fibonacci Level ✅ Classic Volume Signal (spike, dry-up, etc.) ✅ Oscillator confirmation (e.g., divergences) ✅ Extreme Sentiment ✅ Relevant or incoming News Each selected signal contributes to the total score based on its weight. 2. Scoring system Each signal has a default weight (e.g., 20% for support/resistance, 15% for cycles, etc.). Optionally, the trader can enable the “custom weights” checkbox and adjust each signal’s weight directly in the settings. 3. Score visualization The final score (sum of all active weights) is plotted as an oscillator ranging from 0 to 100%, with dynamic coloring: Range Color Meaning 0–39% Red No valid setup 40–54% Yellow Watchlist only 55–69% Orange Good setup 70–100% Green Strong setup Several horizontal threshold lines are displayed: 50% → neutral threshold 40%, 55%, 70% → operational levels 4. Optional background coloring When the score exceeds 55% or 70%, the oscillator background lightly changes color to highlight stronger setups (non-intrusive). 📌 Practical benefits Objectifies subjective analysis: each decision becomes a number. Prevents overtrading: no entries if the score is too low. Adaptable to any trading style: swing, intraday, positional. User-friendly: no coding needed – just tick boxes. Italiano: Setup Score Oscillator – Descrizione completa 🎯 Obiettivo dello script Lo script è uno strumento manuale di valutazione dei setup di trading, pensato per aiutare il trader a quantificare la qualità di un'opportunità operativa basandosi su più segnali tecnici, ciclici e contestuali. Invece di affidarsi a un solo indicatore, il trader seleziona manualmente quali segnali sono presenti, e lo script calcola un punteggio complessivo percentuale (0–100%), rappresentato come oscillatore in una finestra separata (tipo RSI, MACD, ecc.). 🔧 Come funziona operativamente 1. Input manuale dei segnali Lo script mostra una serie di checkbox nelle impostazioni, dove il trader può attivare o disattivare i seguenti segnali: ✅ Supporto/Resistenza confermata ✅ Volume Profile allineato ✅ Cicli o timing favorevole ✅ Trend line valida ✅ Medie mobili cicliche allineate ✅ Livello di Fibonacci rilevante ✅ Volume classico significativo (spike, dry-up) ✅ Conferme da oscillatori (es. divergenze) ✅ Sentiment estremo (es. euforia o panico) ✅ News importanti imminenti o appena uscite Ogni casella attiva contribuisce al punteggio totale, con un peso specifico. 2. Sistema di punteggio Ogni segnale ha un peso predefinito (es. 20% per supporti/resistenze, 15% per cicli, ecc.). Facoltativamente, il trader può attivare la funzione “Enable custom weights” per personalizzare i pesi di ciascun segnale direttamente da input. 3. Visualizzazione del punteggio Il punteggio complessivo (somma dei pesi attivati) viene tracciato come oscillatore da 0 a 100%, con colori dinamici: Range Colore Significato 0–39% Rosso Nessun setup valido 40–54% Giallo Osservazione 55–69% Arancione Setup buono 70–1005 Verde Setup forte Sono tracciate anche delle linee guida orizzontali a: 50% → soglia neutra 40%, 55%, 70% → soglie operative 4. Colorazione dello sfondo (facoltativa) Quando il punteggio supera 55% o 70%, lo sfondo dell’oscillatore cambia leggermente colore per evidenziare il segnale (non invasivo). 📌 Vantaggi pratici Oggettivizza l’analisi soggettiva: ogni decisione manuale si trasforma in un numero. Evita overtrading: se il punteggio è troppo basso, non si entra. Adattabile a ogni stile: swing, intraday, position. Facile da usare anche senza codice: basta spuntare le caselle.
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JoMerende tarafından
2
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD) Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis The Revolutionary Concept: When Physics Meets Trading After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits. The Core Innovation: Ergodic Theory Applied to Markets What Makes Markets Ergodic or Non-Ergodic? In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading: Ergodic Markets (Mean-Reverting) - Time averages equal ensemble averages - Historical patterns repeat reliably - Price oscillates around equilibrium - Traditional indicators work well Non-Ergodic Markets (Trending) - Path dependency dominates - History doesn't predict future - Price creates new equilibrium levels - Momentum strategies excel The Mathematical Framework The Ergodic Score combines three critical divergences: Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3 Where: Price Divergence: How far current price deviates from market consensus Return Divergence: Momentum differential between instrument and market Volatility Divergence: Volatility regime misalignment Market Stress: Adaptive multiplier based on current conditions The Ensemble Analysis Revolution Beyond Single-Instrument Analysis Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach: Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves Filters False Signals: Requires broader market confirmation Identifies Regime Shifts: Detects when entire market structure changes Provides Context: Shows if moves are isolated or systemic Dynamic Threshold Adaptation Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions: Base Threshold = SMA(Ergodic Score, Lookback × 3) Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity Final Threshold = Smoothed(Base + Adaptive) This creates context-aware signals that remain effective across different market environments. The Confidence Engine: Know Your Signal Quality Multi-Factor Confidence Scoring Every signal receives a confidence score based on: Signal Clarity (0-35%): How decisively the ergodic threshold is crossed Momentum Strength (0-25%): Rate of ergodic change Volatility Alignment (0-20%): Whether volatility supports the signal Market Quality (0-20%): Price convergence and path dependency factors Real-Time Confidence Updates The Live Confidence metric continuously updates, showing: - Current opportunity quality - Market state clarity - Historical performance influence - Signal recency boost - Visual Intelligence System Adaptive Ergodic Field Bands Dynamic bands that expand and contract based on market state: Primary Color: Ergodic state (mean-reverting) Danger Color: Non-ergodic state (trending) Band Width: Expected price movement range Squeeze Indicators: Volatility compression warnings Quantum Wave Ribbons Triple EMA system (8, 21, 55) revealing market flow: Compressed Ribbons: Consolidation imminent Expanding Ribbons: Directional move developing Color Coding: Matches current ergodic state Phase Transition Signals Clear entry/exit markers at regime changes: Bull Signals: Ergodic restoration (mean reversion opportunity) Bear Signals: Ergodic break (trend following opportunity) Confidence Labels: Percentage showing signal quality Visual Intensity: Stronger signals = deeper colors Professional Dashboard Suite Main Analytics Panel (Top Right) Market State Monitor - Current regime (Ergodic/Non-Ergodic) - Ergodic score with threshold - Path dependency strength - Quantum coherence percentage Divergence Metrics - Price divergence with severity - Volatility regime classification - Strategy mode recommendation - Signal strength indicator Live Intelligence - Real-time confidence score - Color-coded risk levels - Dynamic strategy suggestions Performance Tracking (Left Panel) Signal Analytics - Total historical signals - Win rate with W/L breakdown - Current streak tracking - Closed trade counter Regime Analysis - Current market behavior - Bars since last signal - Recommended actions - Average confidence trends Strategy Command Center (Bottom Right) Adaptive Recommendations - Active strategy mode - Primary approach (mean reversion/momentum) - Suggested indicators ("weapons") - Entry/exit methodology - Risk management guidance - Comprehensive Input Guide Core Algorithm Parameters Analysis Period (10-100 bars) Scalping (10-15): Ultra-responsive, more signals, higher noise Day Trading (20-30): Balanced sensitivity and stability Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes Divergence Threshold (0.5-5.0) Hair Trigger (0.5-1.0): Catches every wiggle, many false signals Balanced (1.5-2.5): Good signal-to-noise ratio Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance Path Memory (20-200 bars) Short Memory (20-50): Recent behavior focus, quick adaptation Medium Memory (50-100): Balanced historical context Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag Signal Spacing (5-50 bars) Aggressive (5-10): Allows rapid-fire signals Normal (15-25): Prevents clustering, maintains flow Conservative (30-50): Major setups only Default: 15 - optimal trade frequency Ensemble Configuration Select markets for consensus analysis: SPY: Broad market sentiment QQQ: Technology leadership IWM: Small-cap risk appetite DIA: Blue-chip stability More instruments = stronger consensus but potentially diluted signals Visual Customization Color Themes (6 professional options): Quantum: Cyan/Pink - Modern trading aesthetic Matrix: Green/Red - Classic terminal look Heat: Blue/Red - Temperature metaphor Neon: Cyan/Magenta - High contrast Ocean: Turquoise/Coral - Calming palette Sunset: Red-orange/Teal - Warm gradients Display Controls: - Toggle each visual component - Adjust transparency levels - Scale dashboard text - Show/hide confidence scores - Trading Strategies by Market State - Ergodic State Strategy (Primary Color Bands) Market Characteristics - Price oscillates predictably - Support/resistance hold - Volume patterns repeat - Mean reversion dominates Optimal Approach Entry: Fade moves at band extremes Target: Middle band (equilibrium) Stop: Just beyond outer bands Size: Full confidence-based position Recommended Tools - RSI for oversold/overbought - Bollinger Bands for extremes - Volume profile for levels - Non-Ergodic State Strategy (Danger Color Bands) Market Characteristics - Price trends persistently - Levels break decisively - Volume confirms direction - Momentum accelerates Optimal Approach Entry: Breakout from bands Target: Trail with expanding bands Stop: Inside opposite band Size: Scale in with trend Recommended Tools - Moving average alignment - ADX for trend strength - MACD for momentum - Advanced Features Explained Quantum Coherence Metric Measures phase alignment between individual and ensemble behavior: 80-100%: Perfect sync - strong mean reversion setup 50-80%: Moderate alignment - mixed signals 0-50%: Decoherence - trending behavior likely Path Dependency Analysis Quantifies how much history influences current price: Low (<30%): Technical patterns reliable Medium (30-50%): Mixed influences High (>50%): Fundamental shift occurring Volatility Regime Classification Contextualizes current volatility: Normal: Standard strategies apply Elevated: Widen stops, reduce size Extreme: Defensive mode required Signal Strength Indicator Real-time opportunity quality: - Distance from threshold - Momentum acceleration - Cross-validation factors Risk Management Framework Position Sizing by Confidence 90%+ confidence = 100% position size 70-90% confidence = 75% position size 50-70% confidence = 50% position size <50% confidence = 25% or skip Dynamic Stop Placement Ergodic State: ATR × 1.0 from entry Non-Ergodic State: ATR × 2.0 from entry Volatility Adjustment: Multiply by current regime Multi-Timeframe Alignment - Check higher timeframe regime - Confirm ensemble consensus - Verify volume participation - Align with major levels What Makes EMD Unique Original Contributions First Ergodic Theory Trading Application: Transforms abstract physics into practical signals Ensemble Market Analysis: Revolutionary multi-market divergence system Adaptive Confidence Engine: Institutional-grade signal quality metrics Quantum Coherence: Novel market alignment measurement Smart Signal Management: Prevents clustering while maintaining responsiveness Technical Innovations Dynamic Threshold Adaptation: Self-adjusting sensitivity Path Memory Integration: Historical dependency weighting Stress-Adjusted Scoring: Market condition normalization Real-Time Performance Tracking: Built-in strategy analytics Optimization Guidelines By Timeframe Scalping (1-5 min) Period: 10-15 Threshold: 0.5-1.0 Memory: 20-30 Spacing: 5-10 Day Trading (5-60 min) Period: 20-30 Threshold: 1.5-2.5 Memory: 40-60 Spacing: 15-20 Swing Trading (1H-1D) Period: 40-60 Threshold: 2.0-3.0 Memory: 80-120 Spacing: 25-35 Position Trading (1D-1W) Period: 60-100 Threshold: 3.0-5.0 Memory: 100-200 Spacing: 40-50 By Market Condition Trending Markets - Increase threshold - Extend memory - Focus on breaks Ranging Markets - Decrease threshold - Shorten memory - Focus on restores Volatile Markets - Increase spacing - Raise confidence requirement - Reduce position size - Integration with Other Analysis - Complementary Indicators For Ergodic States - RSI divergences - Bollinger Band squeezes - Volume profile nodes - Support/resistance levels For Non-Ergodic States - Moving average ribbons - Trend strength indicators - Momentum oscillators - Breakout patterns - Fundamental Alignment - Check economic calendar - Monitor sector rotation - Consider market themes - Evaluate risk sentiment Troubleshooting Guide Too Many Signals: - Increase threshold - Extend signal spacing - Raise confidence minimum Missing Opportunities - Decrease threshold - Reduce signal spacing - Check ensemble settings Poor Win Rate - Verify timeframe alignment - Confirm volume participation - Review risk management Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose. This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques. Transform market chaos into trading clarity with Ergodic Market Divergence. Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
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DskyzInvestments tarafından
7
Linear Regression Channel UltimateKey Features and Benefits Logarithmic scale option for improved analysis of long-term trends and volatile markets Activity-based profiling using either touch count or volume data Customizable channel width and number of profile fills Adjustable number of most active levels displayed Highly configurable visual settings for optimal chart readability Why Logarithmic Scale Matters The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatility. Unlike linear scales, log scales represent percentage changes consistently across the price range. This allows for: Better visualization of long-term trends More accurate comparison of price movements across different price levels Improved analysis of volatile assets or markets experiencing rapid growth How It Works The indicator calculates a linear regression line based on the specified period Upper and lower channel lines are drawn at a customizable distance from the regression line The space between the channel lines is divided into a user-defined number of levels For each level, the indicator tracks either: - The number of times price touches the level (touch count method) - The total volume traded when price is at the level (volume method) The most active levels are highlighted based on this activity data Understanding Touch Count vs Volume Touch count method: Useful for identifying key support/resistance levels based on price action alone Volume method: Provides insight into levels where the most trading activity occurs, potentially indicating stronger support/resistance Practical Applications Trend identification and strength assessment Support and resistance level discovery Entry and exit point optimization Volume profile analysis for improved market structure understanding This Linear Regression Channel indicator combines powerful statistical analysis with flexible visualization options, making it an invaluable tool for traders and analysts across various timeframes and markets. Its unique features, especially the logarithmic scale and activity profiling, provide deeper insights into market behavior and potential turning points.
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Julien_Eche tarafından
9