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TradingLegend RangeLevels Indicator Description: I am incredibly proud and excited to share my first indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades. Tradinglegend RangeLevels— is a technical indicator that is used to determine the levels at which price may face support or resistance. This indicator consists number of levels which will show several support (S) and resistance (R) levels. Calculation Resistance and support values are calculated in different ways, depending on the type of the indicator, specified by the Type field in indicator inputs. To calculate TL range support/resistance levels, the values OPENcurr, OPENprev, HIGHprev, LOWprev, CLOSEprev of hour,day,weekly candles with avarage buying and selling volumes. which are the values of the current open and previous open, high, low and close, respectively, on the indicator resolution. The indicator resolution is set by the input of the different standard Timeframe. users can change the cofficient of facor which calculated on basis of previous day high to low distance and number of 5min candles existing in a day,they can customisze it in setting for accurate results for intraday resolutions up to and including 15 min, DAY (1D) is used for intraday resolutions more than 15 min, WEEK (1W) is used for daily resolutions MONTH is used (1M) for weekly and monthly resolutions, 12-MONTH (12M) is used Types Leves are designed as pivot standard levels but calculation is different.When you will use it,definitely u gonna love it
Pine Script™ indicator
by deepwintrader
12
Turtle Soup ICT Strategy [TradingFinder] FVG + CHoCH/CSD🔵 Introduction The ICT Turtle Soup trading setup, designed in the ICT style, operates by hunting or sweeping liquidity zones to exploit false breakouts and failed breakouts in key liquidity Zones, such as recent highs, lows, or major support and resistance levels. This setup identifies moments when the price breaches these liquidity zones, triggering stop orders placed (Stop Hunt) by other traders, and then quickly reverses direction. These movements are often associated with liquidity sweeps that create temporary market imbalances. The reversal is typically confirmed by one of three structural shifts : a Market Structure Shift (MSS), a Change of Character (CHoCH), or a break of the Change in State of Delivery (CISD). Each of these structural shifts provides a reliable signal to interpret market intent and align trading decisions with the expected price movement. After the structural shift, the price frequently pullback to a Fair Value Gap (FVG), offering a precise entry point for trades. By integrating key concepts such as liquidity, liquidity sweeps, stop order activation, structural shifts (MSS, CHoCH, CISD), and price imbalances, the ICT Turtle Soup setup enables traders to identify reversal points and key entry zones with high accuracy. This strategy is highly versatile, making it applicable across markets such as forex, stocks, cryptocurrencies, and futures. It offers traders a robust and systematic approach to understanding price movements and optimizing their trading strategies 🟣 Bullish and Bearish Setups Bullish Setup : The price first sweeps below a Sell-Side Liquidity (SSL) zone, then reverses upward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a buying opportunity. Bearish Setup : The price first sweeps above a Buy-Side Liquidity (BSL) zone, then reverses downward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a selling opportunity. 🔵 How to Use To effectively utilize the ICT Turtle Soup trading setup, begin by identifying key liquidity zones, such as recent highs, lows, or support and resistance levels, in higher timeframes. Then, monitor lower timeframes for a Liquidity Sweep and confirmation of a Market Structure Shift (MSS) or Change of Character (CHoCH). After the structural shift, the price typically pulls back to an FVG, offering an optimal trade entry point. Below, the bullish and bearish setups are explained in detail. 🟣 Bullish Turtle Soup Setup Identify Sell-Side Liquidity (SSL) : In a higher timeframe (e.g., 1-hour or 4-hour), identify recent price lows or support levels that serve as SSL zones, typically the location of stop-loss orders for traders. Observe a Liquidity Sweep : On a lower timeframe (e.g., 15-minute or 30-minute), the price must move below one of these liquidity zones and then reverse. This movement indicates a liquidity sweep. Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Higher Low (HL) and Higher High (HH). Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a buy trade in this zone, set a stop-loss slightly below the recent low, and target Buy-Side Liquidity (BSL) in the higher timeframe for profit. 🟣 Bearish Turtle Soup Setup Identify Buy-Side Liquidity (BSL) : In a higher timeframe, identify recent price highs or resistance levels that serve as BSL zones, typically the location of stop-loss orders for traders. Observe a Liquidity Sweep : On a lower timeframe, the price must move above one of these liquidity zones and then reverse. This movement indicates a liquidity sweep. Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Lower High (LH) and Lower Low (LL). Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a sell trade in this zone, set a stop-loss slightly above the recent high, and target Sell-Side Liquidity (SSL) in the higher timeframe for profit. 🔵 Settings Higher TimeFrame Levels : This setting allows you to specify the higher timeframe (e.g., 1-hour, 4-hour, or daily) for identifying key liquidity zones. Swing period : You can set the swing detection period. Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine. Max Swing Back : You can set the number of swings that will go back for checking. FVG Length : Default is 120 Bar. MSS Length : Default is 80 Bar. FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise. Types of FVG filter s: Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs. Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs. Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs. Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals. In the indicator settings, you can customize the visibility of various elements, including MSS, FVG, and HTF Levels. Additionally, the color of each element can be adjusted to match your preferences. This feature allows traders to tailor the chart display to their specific needs, enhancing focus on the key data relevant to their strategy. 🔵 Conclusion The ICT Turtle Soup trading setup is a powerful tool in the ICT style, enabling traders to exploit false breakouts in key liquidity zones. By combining concepts of liquidity, liquidity sweeps, market structure shifts (MSS and CHoCH), and pullbacks to FVG, this setup helps traders identify precise reversal points and execute trades with reduced risk and increased accuracy. With applications across various markets, including forex, stocks, crypto, and futures, and its customizable indicator settings, the ICT Turtle Soup setup is ideal for both beginner and advanced traders. By accurately identifying liquidity zones in higher timeframes and confirming structure shifts in lower timeframes, this setup provides a reliable strategy for navigating volatile market conditions. Ultimately, success with this setup requires consistent practice, precise market analysis, and proper risk management, empowering traders to make smarter decisions and achieve their trading goals.
Pine Script™ indicator
by TFlab
1
Christmas RSI with Jingle Bell [TrendX_]Jingle Bell 🔔, Jingle Bell 🔔, Jingle all the chart 📈 Merry Christmas Tradingview Community !!! Introducing the Jingle Bell Indicator, a festive Pine Script creation designed to spread joy and luck to your trading endeavors. The Bow will change colors based on the reaction of RSI with the 50 level. Add a Jingle Bell drawing to your charts and celebrate the most wonderful time of the year. Turn on alert for today to get my Merry Christmas wish. This indicator is my gift to the Tradingview community, designed to bring a touch of luck to your trades. Hope this Jingle Bell will bring some joy and festive vibes to your trading experience.
Pine Script™ indicator
by TrendX_
Heikin Ashi Candles - [Better Overlay]Heikin Ashi Candles - Better Overlay Heikin Ashi candles are a unique charting technique designed to smooth price data, making it easier to identify trends and potential reversals. The "Heikin Ashi Candles - Better Overlay" indicator takes this concept further by introducing enhancements like a moving average based on the Heikin Ashi values and an overlay of actual price dynamics. This blog explores the functionality and features of this indicator. Key Features 1. Heikin Ashi Candle Plotting The indicator calculates Heikin Ashi values (open, high, low, and close) to plot candles directly on the chart. These candles provide a clearer view of market trends by reducing noise commonly seen in standard candlesticks. - Heikin Ashi Close: The average of open, high, low, and close prices. - Heikin Ashi Open: A smoothed value derived from the previous Heikin Ashi open and close values. - Heikin Ashi High/Low: The highest and lowest prices between the Heikin Ashi open, close, and the actual high/low of the period. The candle colors are intuitive: - Green: Indicates bullish movement. - Red: Indicates bearish movement. The indicator uses semi-transparent candle bodies to ensure better visibility of the actual price chart underneath. 2. Heikin Ashi Moving Average The indicator includes an optional moving average calculated from the Heikin Ashi values. This moving average helps traders identify the overall trend direction and its strength. - The length of the moving average is adjustable via input settings. - The color of the moving average line reflects its trend: - Green: Uptrend. - Red: Downtrend. 3. Dynamic Actual Price Line To maintain a connection with real-time price data, the indicator overlays a dashed line representing the actual closing price of the asset. This feature provides valuable context when analyzing Heikin Ashi data, ensuring traders do not lose sight of the actual price levels. Customization Options The indicator offers several customization settings for better usability: - Heikin Ashi Moving Average: - Toggle to show or hide the moving average. - Adjustable length for the moving average, ranging from 1 to 500 periods. - Candle Styling: - The colors and transparency levels of the candles are predefined to maintain chart clarity. - Users can visually distinguish Heikin Ashi data from the actual price chart. Practical Use Cases 1. Trend Identification Heikin Ashi candles smooth out noise, making it easier to identify trends. Bullish and bearish candle coloring provides a quick visual cue for market sentiment. 2. Trend Strength and Reversals The Heikin Ashi moving average serves as a reliable indicator of trend strength. A change in the color of the moving average can indicate a potential trend reversal. 3. Real-Time Price Reference The dynamic price line ensures traders have a clear reference to the actual closing price, which is crucial for making informed decisions in real-time markets. Conclusion The "Heikin Ashi Candles - Better Overlay" indicator is a versatile tool for traders looking to combine the smoothing benefits of Heikin Ashi candles with the precision of real-time price data. Its additional features, like the Heikin Ashi moving average and dynamic price line, make it a comprehensive solution for both trend-following and real-time trading strategies. This indicator is a great addition to any trader's toolkit, offering clarity and actionable insights without overcomplicating the chart. Give it a try to explore its potential in your trading journey.
Pine Script™ indicator
by LuxmiAI
IU 4 Bar UP StrategyIU 4 Bar UP Strategy The IU 4 Bar UP Strategy is a trend-following strategy designed to identify and execute long trades during strong bullish momentum, combined with confirmation from the SuperTrend indicator. This strategy is suitable for traders aiming to capitalize on sustained upward market movements. Features : 1. SuperTrend Confirmation: Incorporates the SuperTrend indicator as a dynamic support/resistance line to filter trades in the direction of the trend. 2. 4 Consecutive Bullish Bars: Detects a series of 4 bullish candles as a signal for strong upward momentum, ensuring robust trade setups. 3. Dynamic Alerts: Sends alerts for trade entries and exits to keep traders informed. 4. Visual Enhancements: - Plots the SuperTrend indicator on the chart. - Changes the background color while a trade is active for easy visualization. Inputs : - SuperTrend ATR Period: The period used to calculate the Average True Range (ATR) for the SuperTrend indicator. - SuperTrend ATR Factor: The multiplier for the ATR in the SuperTrend calculation. Entry Conditions : A long entry is triggered when: 1. The last 4 consecutive candles are bullish (closing prices are higher than opening prices). 2. The current price is above the SuperTrend line. 3. The strategy is not already in a position. 4. The bar is confirmed (not a partially formed bar). When all these conditions are met, the strategy enters a long position and provides an alert: "Long Entry triggered" Exit Conditions : The strategy exits the long position when: 1. The closing price drops below the SuperTrend line. 2. An alert is generated: "Close the long Trade" Visualization : - The SuperTrend line is plotted, dynamically colored: - Green when the trend is bullish. - Red when the trend is bearish. - The background color turns semi-transparent green while a trade is active, indicating a long position. Do use proper risk management while using this strategy.
Pine Script™ strategy
by Shivam_Mandrai
Stock Trend Catcher - VThis Pine Script trading strategy has three main components: Entry Conditions: Uses multiple timeframe analysis with EMA crossover, SuperTrend, RSI, and ADX Requires volume spike confirmation Checks both higher and current timeframe data Long entry: EMA cross up + SuperTrend up + RSI>50 + ADX>25 + volume spike Short entry: Opposite conditions Exit Conditions: Takes profit at user-defined percentage (default 2%) Stops loss at user-defined percentage (default 1%)
Pine Script™ strategy
by Vigneshramse
Enhanced SMA Signal Box With TargetsEnhanced SMA Signal Box with Targets The Enhanced SMA Signal Box with Targets is a unique trading tool designed to help traders identify potential entry and exit opportunities with clarity and precision. It combines a 20-period Simple Moving Average (SMA) with customizable target levels and filtering options, making it a versatile indicator for various trading strategies. What Makes It Unique: Dynamic Profit Targets: Automatically adjusts ATR-based target levels to changing market conditions. Flexible Filters: Optional MACD, RSI, and volume filters refine signals to suit different trading styles. Visually Distinct Signals: Highlights potential opportunities with easy-to-read markers and customizable visuals. Adaptability: Works across multiple asset classes and timeframes. How It Works: Buy Signals: Generated when the price closes above the SMA, indicating potential bullish momentum. Sell Signals: Triggered when the price closes below the SMA, signaling bearish conditions. Profit Targets: Three adjustable ATR-based levels provide guidance for trade exits and risk management. Customization Options: Modify SMA length, colors, and line styles for a personalized experience. Enable or disable filters to match your trading strategy. Tailor target levels for precise risk-reward setups. Important Note: This script is a tool to assist traders in their analysis and decision-making process. It does not guarantee specific outcomes and should always be used alongside other risk management practices. Disclaimer: This indicator is provided for educational purposes only and does not constitute financial advice. Users should backtest thoroughly and trade responsibly. The author is not liable for any financial losses resulting from the use of this tool.
Pine Script™ indicator
by financialApp2756
Market Sessions //@version=5 indicator('Market Sessions', 'Sessions', overlay=true, max_lines_count=200, max_boxes_count=200, max_labels_count=200, max_bars_back=500, explicit_plot_zorder=true) import boitoki/AwesomeColor/9 as ac import boitoki/Utilities/3 as util /////////////// // Groups /////////////// g0 = '// GENERAL //' g1_01 = '// ♯1 SESSION //' g1_02 = '// ♯2 SESSION //' g1_03 = '// ♯3 SESSION //' g1_04 = '// ♯4 SESSION //' g1_05 = '// ♯5 SESSION //' g4 = '// BOX //' g6 = '// LABELS //' g5 = '// OPENING RANGE //' g7 = '// FIBONACCI LEVELS //' g8 = '// OPTIONS //' g11 = '// CANDLE //' g10 = '// ALERTS VISUALISED //' g12 = '// INFORMATION //' /////////////// // Defined /////////////// MAX_BARS = 500 option_yes = 'Yes' option_no = '× No' option_extend1 = 'Yes' option_hide = '× Hide' option_border_style1 = '────' option_border_style2 = '- - - - - -' option_border_style3 = '•••••••••' option_chart_x = '× No' option_chart_1 = 'Bar color' option_chart_2 = 'Candles' option_opr_label1 = 'High・Low' option_opr_label2 = 'Buy・Sell' option_opr_label_none = 'None' option_candle_color1 = 'Session color' option_candle_color2 = 'Red • Green' fmt_price = '{0,number,#.#####}' fmt_pips = '{0,number,#.#}' icon_separator = ' • ' color_text = color.new(color.white, 0) TRANSPARENT = color.new(color.black, 100) /////////////// // Methods /////////////// method clear (array id, int _min = 0) => if array.size(id) > _min array.pop(id) method clear (array id, int _min = 0) => if array.size(id) > _min array.pop(id) /////////////// // Types /////////////// // OHLC type OHLC float open float high float low float close float hl // Dot type Dot int x float y string t = '' color c method create(Dot this) => label.new(this.x, this.y, this.t, style=label.style_label_center, color=TRANSPARENT, textcolor=this.c, size=size.small) // Candle type Candle box body line wick method create(Candle this) => this.body := array.new() this.wick := array.new() this type State string extend_style bool show_fibs bool show_op method is_extended (State this) => this.extend_style != option_no // OpeningRange type OpeningRange float top float btm float avg float R1 float R2 float S1 float S2 int total_count = 0 int reached_count = 0 int reached_R1_count = 0 int reached_R2_count = 0 int reached_S1_count = 0 int reached_S2_count = 0 // Data type Session string sess string tz string name color colour float price_ranges float price_range_avg box boxes line lines label labels line oclines box ocboxes label oc_labels box opr_boxes line opr_lines linefill opr_linefills label opr_labels line fib int session bool is_extended bool in_session Candle candle OHLC ohlc State state OpeningRange op method create (Session this, string _extend, bool _show_fib, bool _show_op) => this.boxes := array.new() this.lines := array.new() this.labels := array.new() this.oclines := array.new() this.ocboxes := array.new() this.oc_labels := array.new() this.opr_boxes := array.new() this.opr_lines := array.new() this.opr_linefills := array.new() this.opr_labels := array.new() this.fib := array.new() this.price_ranges := array.new() this.state := State.new(_extend, _show_fib, _show_op) this.candle := Candle.new().create() this.ohlc := OHLC.new() this.op := OpeningRange.new() this.is_extended := this.state.is_extended() this method session (Session this) => time(timeframe.period, this.sess, this.tz) method add (Session this, range_price, length = 50) => this.price_ranges.unshift(range_price) this.price_ranges.clear(length) this.price_range_avg := array.avg(this.price_ranges) /////////////// // Functions /////////////// f_get_time_by_bar (bar_count) => timeframe.multiplier * bar_count * 60 * 1000 f_border_style (_style) => switch _style option_border_style1 => line.style_solid option_border_style2 => line.style_dashed option_border_style3 => line.style_dotted => _style f_get_period (_session, _start, _lookback) => result = math.max(_start, 1) for i = result to _lookback if na(_session ) and _session result := i+1 break result f_get_label_position (_y, _side) => switch _y 'top' => _side == 'outside' ? label.style_label_lower_left : label.style_label_upper_left 'bottom' => _side == 'outside' ? label.style_label_upper_left : label.style_label_lower_left f_get_started (_session) => na(_session ) and _session f_get_ended (_session) => na(_session) and _session f_message_limit_bars (_v) => '⚠️ This box\'s right position exceeds 500 bars(' + str.tostring(_v) + '). This box is not displayed correctly.' f_set_line_x1 (_line, _x) => if (line.get_x1(_line) != _x) line.set_x1(_line, _x) f_set_line_x2 (_line, _x) => if (line.get_x2(_line) != _x) line.set_x2(_line, _x) f_set_box_right (_box, _x) => if box.get_right(_box) != _x box.set_right(_box, _x) /////////////// // Inputs /////////////// // Timezone i_tz = input.string('GMT+0', title='Timezone', options= , group=g0) i_history_period = input.int(10, 'History', minval=0, group=g0) i_show = i_history_period > 0 i_lookback = 12 * 60 // Sessions i_show_sess1 = input.bool(true, 'Session 1 ', group=g1_01, inline='session1_1') and i_show i_sess1_label = input.string('London', '', group=g1_01, inline='session1_1') i_sess1_color = input.color(#66D9EF, '', group=g1_01, inline='session1_1') i_sess1_barcolor1 = input.color(#66D9EF, '•', group=g1_01, inline='session1_1') i_sess1_barcolor2 = input.color(#66D9EF, '', group=g1_01, inline='session1_1') i_sess1 = input.session('0800-1700', 'Time', group=g1_01) i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01) i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no i_sess1_chart = input.string(option_chart_x, 'Bar', options= , group=g1_01) i_sess1_barcolor = i_sess1_chart == option_chart_1 i_sess1_plotcandle = i_sess1_chart == option_chart_2 i_show_sess2 = input.bool(true, 'Session 2 ', group=g1_02, inline='session2_1') and i_show i_sess2_label = input.string('New York', '', group=g1_02, inline='session2_1') i_sess2_color = input.color(#FD971F, '', group=g1_02, inline='session2_1') i_sess2_barcolor1 = input.color(#FD971F, '•', group=g1_02, inline='session2_1') i_sess2_barcolor2 = input.color(#FD971F, '', group=g1_02, inline='session2_1') i_sess2 = input.session('1300-2200', 'Time', group=g1_02) i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02) i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no i_sess2_chart = input.string(option_chart_x, 'Bar', options= , group=g1_02) i_sess2_barcolor = i_sess2_chart == option_chart_1 i_sess2_plotcandle = i_sess2_chart == option_chart_2 i_show_sess3 = input.bool(true, 'Session 3 ', group=g1_03, inline='session3_1') and i_show i_sess3_label = input.string('Tokyo', '', group=g1_03, inline='session3_1') i_sess3_color = input.color(#AE81FF, '', group=g1_03, inline='session3_1') i_sess3_barcolor1 = input.color(#AE81FF, '•', group=g1_03, inline='session3_1') i_sess3_barcolor2 = input.color(#AE81FF, '', group=g1_03, inline='session3_1') i_sess3 = input.session('0000-0900', 'Time', group=g1_03) i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03) i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no i_sess3_chart = input.string(option_chart_x, 'Bar', options= , group=g1_03) i_sess3_barcolor = i_sess3_chart == option_chart_1 i_sess3_plotcandle = i_sess3_chart == option_chart_2 i_show_sess4 = input.bool(false, 'Session 4 ', group=g1_04, inline='session4_1') and i_show i_sess4_label = input.string('Sydney', '', group=g1_04, inline='session4_1') i_sess4_color = input.color(#FB71A3, '', group=g1_04, inline='session4_1') i_sess4_barcolor1 = input.color(#FB71A3, '•', group=g1_04, inline='session4_1') i_sess4_barcolor2 = input.color(#FB71A3, '', group=g1_04, inline='session4_1') i_sess4 = input.session('2000-0500', 'Time', group=g1_04) i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04) i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no i_sess4_chart = input.string(option_chart_x, 'Bar', options= , group=g1_04) i_sess4_barcolor = i_sess4_chart == option_chart_1 i_sess4_plotcandle = i_sess4_chart == option_chart_2 i_show_sess5 = input.bool(false, 'Session 5 ', group=g1_05, inline='session5_1') and i_show i_sess5_label = input.string('Sydney', '', group=g1_05, inline='session5_1') i_sess5_color = input.color(#FB71A3, '', group=g1_05, inline='session5_1') i_sess5_barcolor1 = input.color(#FB71A3, '•', group=g1_05, inline='session5_1') i_sess5_barcolor2 = input.color(#FB71A3, '', group=g1_05, inline='session5_1') i_sess5 = input.session('2000-0500', 'Time', group=g1_05) i_sess5_extend = input.string(option_no, 'Extend', options= , group=g1_05) i_sess5_op = input.string(option_no, 'Opening range', group=g1_05, options= ) != option_no and i_show i_sess5_fib = input.string(option_no, 'Fibonacci levels', group=g1_05, options= ) != option_no i_sess5_chart = input.string(option_chart_x, 'Bar', options= , group=g1_05) i_sess5_barcolor = i_sess5_chart == option_chart_1 i_sess5_plotcandle = i_sess5_chart == option_chart_2 // Show & Styles i_sess_box_style = input.string('Box', '', options= , group=g4, inline='box_style') i_sess_border_style = f_border_style(input.string(option_border_style2, '', options= , group=g4, inline='box_style')) i_sess_border_width = input.int(1, '', minval=0, group=g4, inline='box_style') i_sess_box_background = input.bool(true, 'BG color', group=g4, inline='box_style_options') i_sess_box_dots = input.bool(true, 'Dots', group=g4, inline='box_style_options') i_sess_end_offset = input.bool(true, 'Include the latest bar in the Session end', group=g4) i_sess_bgopacity = i_sess_box_background ? 94 : 100 i_sess_bgopacity2 = math.min(i_sess_bgopacity - 4, 100) i_sess_border_width := i_sess_box_style == 'Background' ? 0 : i_sess_border_width session_end_offset = i_sess_end_offset ? 0 : 1 // Labels i_label_show = input.bool(true, '', inline='label_show', group=g6) and i_show i_label_size = str.lower(input.string('Small', '', options= , inline='label_show', group=g6)) i_label_position_y = str.lower(input.string('Top', '', options= , inline='label_show', group=g6)) i_label_position_s = str.lower(input.string('Outside', '', options= , inline='label_show', group=g6)) i_label_position = f_get_label_position(i_label_position_y, i_label_position_s) i_label_format_name = input.bool(true, 'Name', inline='label_format', group=g6) i_label_format_day = input.bool(false, 'Day', inline='label_format', group=g6) i_label_format_price = input.bool(false, 'Price', inline='label_format', group=g6) i_label_format_pips = input.bool(false, 'Pips', inline='label_format', group=g6) // Opening range i_o_minutes = input.int(15, title='Periods mins', minval=1, step=1, group=g5) i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1) i_o_transp = 65 i_o_size = input.string(size.small, 'Label size', options= , group=g5) i_o_color = input.string(option_candle_color1, 'Label color', options= , group=g5) i_o_label_1 = input.string('High', 'Label text   ', group=g5, inline='op_label', tooltip="Type \"price\" to display the price") i_o_label_2 = input.string('Low', '', group=g5, inline='op_label') i_o_nowonly = input.bool(false, 'Now only', group=g5, inline='op_options') i_o_breakout_icon = input.bool(false, 'Breakout flag', group=g5, inline='op_options') i_o_target = input.bool(false, 'Target lines', group=g5, inline='op_options') // Candle option_candle_body = 'OC' option_candle_wick = 'OHLC' i_show_candle = input.bool(false, '', group=g11, inline='candle_display') //and (i_candle_border_width > 0) i_candle = input.string(option_candle_wick, '', options= , group=g11, inline='candle_display') i_candle_border_width = input.int(1, '', minval=1, group=g11, inline='candle_display') i_candle_color = input.string(option_candle_color1, '', options= , group=g11, inline='candle_display') i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_display') i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_display') i_candle := i_show_candle ? i_candle : option_hide i_show_candle_wick = i_candle == option_candle_wick i_sess_bgopacity2 := i_show_candle ? 100 : i_sess_bgopacity2 // Fibonacci levels i_f_show = input.bool(true, '', group=g7, inline='fib_display') i_f_linestyle = f_border_style(input.string(option_border_style1, '', options= , group=g7, inline='fib_display')) i_f_linewidth = input.int(1, '', minval=1, group=g7, inline='fib_display') i_sess1_fib := i_f_show ? i_sess1_fib : false i_sess2_fib := i_f_show ? i_sess2_fib : false i_sess3_fib := i_f_show ? i_sess3_fib : false i_sess4_fib := i_f_show ? i_sess4_fib : false // Information table i_show_info = input.bool(true, '', group=g12, inline='info_display') i_info_size = input.string(size.normal, '', options= , group=g12, inline='info_display') i_info_value_type = input.string('Pips', '', options= , group=g12, inline='info_display') i_info_period = input.int(50, '', group=g12, inline='info_display') // Alerts i_alert1_show = input.bool(false, 'Alerts - Sessions stard/end', group=g10) i_alert2_show = input.bool(false, 'Alerts - Opening range breakouts', group=g10) i_alert3_show = input.bool(false, 'Alerts - Price crossed session\'s High/Low after session closed', group=g10) // ------------------------ // Drawing labels // ------------------------ f_render_label (_show, Session data, _is_started, _color, _top, _bottom) => var label my_label = na var int start_time = na session = data.session() v_position_y = (i_label_position_y == 'top') ? _top : _bottom v_label = array.new_string() v_chg = _top - _bottom if _is_started start_time := time if i_label_format_name and not na(data.name) array.push(v_label, data.name) if i_label_format_day array.push(v_label, util.get_day(dayofweek(start_time, i_tz))) if i_label_format_price array.push(v_label, str.format(fmt_price, v_chg)) if i_label_format_pips array.push(v_label, str.format(fmt_pips, util.toPips(v_chg))) if _show if _is_started my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=TRANSPARENT, size=i_label_size, style=i_label_position, tooltip='Pips') array.push(data.labels, my_label) util.clear_labels(data.labels, data.is_extended ? 1 : i_history_period) else if session label.set_y(my_label, v_position_y) label.set_text(my_label, array.join(v_label, icon_separator)) data // ------------------------ // Drawing Fibonacci levels // ------------------------ f_render_fibonacci (_show, data, _is_started, _is_ended, _x1, _x2, _color, _top, _bottom, _level, _width, _style) => var line my_line = na session = data.session() if _show y = (_top - _bottom) * _level + _bottom if _is_started my_line := line.new(_x1, y, _x2, y, width=_width, color=color.new(_color, 30), style=_style) array.push(data.fib, my_line) if data.is_extended line.set_extend(my_line, extend.right) else if session line.set_y1(my_line, y) line.set_y2(my_line, y) f_set_line_x2(my_line, _x2) else if _is_ended f_set_line_x2(my_line, _x2-session_end_offset) data // ------------------------ // Drawing Opening range // ------------------------ f_render_oprange (_show, Session data, _is_started, _is_ended, _x1, _x2, _color, _max) => var int start_time = na var box my_box = na var line my_line1 = na var line my_line2 = na var label my_label1 = na var label my_label2 = na var bool is_opened = false var float R1 = na, var float R2 = na var float S1 = na, var float S2 = na var is_reached_R1 = false var is_reached_R2 = false var is_reached_S1 = false var is_reached_S2 = false var color_gray = ac.tradingview('gray') var color_orange = ac.tradingview('orange') var target_line_width = 2 session = data.session() top = ta.highest(high, _max) btm = ta.lowest(low, _max) is_crossover = ta.crossover(close, box.get_top(my_box)) is_crossunder = ta.crossunder(close, box.get_bottom(my_box)) var float saved_top = na if _show if _is_started util.clear_boxes(data.opr_boxes, math.max(0, i_history_period - 1)) util.clear_lines(data.opr_lines, math.max(0, (i_history_period - 1) * 6)) util.clear_labels(data.opr_labels, math.max(0, (i_history_period - 1) * 2)) start_time := time my_box := na is_opened := true else if session time_op = start_time + (i_o_minutes * 60 * 1000) time_op_delay = time_op - f_get_time_by_bar(1) if time <= time_op and time > time_op_delay top_color = i_o_color == option_candle_color2 ? ac.tradingview('blue') : _color btm_color = i_o_color == option_candle_color2 ? ac.tradingview('red') : _color top_text_color = color.from_gradient(85, 0, 100, top_color, ac.panda('white')) bot_text_color = color.from_gradient(85, 0, 100, btm_color, ac.panda('white')) mdl = math.avg(top, btm) avg1 = (data.price_range_avg * 0.786) * 0.5 avg2 = (data.price_range_avg * 1.272) * 0.5 saved_top := top R1 := math.avg(btm, mdl) + avg1 R2 := math.avg(btm, mdl) + avg2 S1 := math.avg(top, mdl) - avg1 S2 := math.avg(top, mdl) - avg2 array.push(data.opr_boxes, box.new (_x1, top, bar_index, btm, border_width=0, bgcolor=color.new(_color, i_o_transp))) array.push(data.opr_lines, line.new(_x1, top, _x2, top, style=line.style_dashed, color=top_color)) array.push(data.opr_lines, line.new(_x1, btm, _x2, btm, style=line.style_dashed, color=btm_color)) array.push(data.opr_lines, line.new(_x1, R2 , _x2, R2 , style=line.style_solid, color=i_o_target ? color.new(top_color, 40) : TRANSPARENT, width=target_line_width)) array.push(data.opr_lines, line.new(_x1, S2 , _x2, S2 , style=line.style_solid, color=i_o_target ? color.new(btm_color, 40) : TRANSPARENT, width=target_line_width)) array.push(data.opr_lines, line.new(_x1, R1 , _x2, R1 , style=line.style_solid, color=i_o_target ? color.new(top_color, 40) : TRANSPARENT, width=target_line_width)) array.push(data.opr_lines, line.new(_x1, S1 , _x2, S1 , style=line.style_solid, color=i_o_target ? color.new(btm_color, 40) : TRANSPARENT, width=target_line_width)) if i_o_target array.unshift(data.opr_linefills, linefill.new(array.get(data.opr_lines, array.size(data.opr_lines)-1), array.get(data.opr_lines, array.size(data.opr_lines)-3), color.new(btm_color, 96))) // S array.unshift(data.opr_linefills, linefill.new(array.get(data.opr_lines, array.size(data.opr_lines)-2), array.get(data.opr_lines, array.size(data.opr_lines)-4), color.new(top_color, 96))) // R t1 = i_o_label_1 == 'price' ? str.tostring(top, format.mintick) : i_o_label_1 t2 = i_o_label_2 == 'price' ? str.tostring(btm, format.mintick) : i_o_label_2 my_label1 := label.new(_x1-1, top, t1, yloc=yloc.price, style=label.style_label_right, color=top_color, textcolor=top_text_color, size=i_o_size, tooltip=str.tostring(top, format.mintick)) my_label2 := label.new(_x1-1, btm, t2, yloc=yloc.price, style=label.style_label_right, color=btm_color, textcolor=bot_text_color, size=i_o_size, tooltip=str.tostring(btm, format.mintick)) array.push(data.opr_labels, my_label1) array.push(data.opr_labels, my_label2) array.push(data.opr_boxes , my_box) if data.is_extended box.set_extend(my_box, extend.right) alert('Opening range is fixed.', alert.freq_once_per_bar) else if is_opened if ta.crossover(high, R1) and (not is_reached_R1) is_reached_R1 := true if i_o_breakout_icon label.new(bar_index, high, '×', yloc=yloc.price, style=label.style_label_center, color=TRANSPARENT, textcolor=ac.tradingview('blue'), size=size.large) if ta.crossover(high, R2) and (not is_reached_R2) is_reached_R2 := true if i_o_breakout_icon label.new(bar_index, high, '×', yloc=yloc.price, style=label.style_label_center, color=TRANSPARENT, textcolor=ac.tradingview('blue'), size=size.large) if ta.crossunder(low, S1) and (not is_reached_S1) is_reached_S1 := true if i_o_breakout_icon label.new(bar_index, low, '×', yloc=yloc.price, style=label.style_label_center, color=TRANSPARENT, textcolor=ac.tradingview('red'), size=size.large) if ta.crossunder(low, S2) and (not is_reached_S2) is_reached_S2 := true if i_o_breakout_icon label.new(bar_index, low, '×', yloc=yloc.price, style=label.style_label_center, color=TRANSPARENT, textcolor=ac.tradingview('red'), size=size.large) true else if is_crossover alert('Price crossed over the opening range', alert.freq_once_per_bar) if i_alert2_show label.new(bar_index, box.get_top(my_box), "×", color=color.blue, textcolor=ac.tradingview('blue'), style=label.style_none, size=size.large) if is_crossunder alert('Price crossed under the opening range', alert.freq_once_per_bar) if i_alert2_show label.new(bar_index, box.get_bottom(my_box), "×", color=color.red, textcolor=ac.tradingview('red'), style=label.style_none, size=size.large) else if _is_ended if i_o_nowonly util.clear_lines(data.opr_lines, 0) util.clear_labels(data.opr_labels, 0) util.clear_boxes(data.opr_boxes, 0) else if array.size(data.opr_lines) > 0 for i = 0 to 5 the_line = array.get(data.opr_lines, array.size(data.opr_lines) - (i + 1)) line.set_x2(the_line, _x2-session_end_offset) for i = 0 to 1 the_label = array.get(data.opr_labels, array.size(data.opr_labels) - (i + 1)) label.set_text(the_label, '●') label.set_style(the_label, label.style_label_center) label.set_textcolor(the_label, i_o_color == option_candle_color2 ? label.get_y(the_label) >= saved_top ? ac.tradingview('blue') : ac.tradingview('red') : _color) label.set_color(the_label, TRANSPARENT) label.set_size(the_label, size.tiny) label.set_x(the_label,_x1) data.op.total_count := data.op.total_count + 1 data.op.reached_count := (is_reached_R1 or is_reached_R2 or is_reached_S1 or is_reached_S2) ? data.op.reached_count + 1 : data.op.reached_count data.op.reached_R1_count := is_reached_R1 ? data.op.reached_R1_count + session_end_offset : data.op.reached_R1_count data.op.reached_R2_count := is_reached_R2 ? data.op.reached_R2_count + session_end_offset : data.op.reached_R2_count data.op.reached_S1_count := is_reached_S1 ? data.op.reached_S1_count + session_end_offset : data.op.reached_S1_count data.op.reached_S2_count := is_reached_S2 ? data.op.reached_S2_count + session_end_offset : data.op.reached_S2_count // Reset R1 := na, R2 := na, S1 := na, S2 := na is_reached_R1 := false is_reached_R2 := false is_reached_S1 := false is_reached_S2 := false is_opened := false saved_top := na is_opened data // ------------------------ // Drawing candle // ------------------------ f_render_candle (_show, Session data, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2) => var box body = na var line wick1 = na var line wick2 = na session = data.session() border_width = i_candle_border_width cx = math.round(math.avg(_x2, _x1)) - math.round(border_width / 2) body_color = i_candle_color == option_candle_color2 ? close > _open ? i_candle_color_g : i_candle_color_r : _color body_color := color.new(body_color, 30) if _show if _is_started body := box.new(_x1, _top, _x2, _bottom, body_color, border_width, line.style_solid, bgcolor=color.new(color.black, 100)) wick1 := i_show_candle_wick ? line.new(cx, _top, cx, _top, color=body_color, width=border_width, style=line.style_solid) : na wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=body_color, width=border_width, style=line.style_solid) : na array.push(data.candle.body, body) array.push(data.candle.wick, wick1) array.push(data.candle.wick, wick2) util.clear_boxes(data.candle.body, i_history_period) util.clear_lines(data.candle.wick, i_history_period * 2) else if session top = math.max(_open, close) bottom = math.min(_open, close) box.set_top(body, top) box.set_bottom(body, bottom) box.set_right(body, _x2) box.set_border_color(body, body_color) line.set_y1(wick1, _top) line.set_y2(wick1, top) f_set_line_x1(wick1, cx) f_set_line_x2(wick1, cx) line.set_color(wick1, body_color) line.set_y1(wick2, _bottom) line.set_y2(wick2, bottom) f_set_line_x1(wick2, cx) f_set_line_x2(wick2, cx) line.set_color(wick2, body_color) else if _is_ended box.set_right(body, bar_index-session_end_offset) data // ------------------------ // Rendering limit message // ------------------------ f_render_limitmessage (_show, Session data, _is_started, _is_ended, _x, _y, _rightbars) => var label my_note = na session = data.session() if _show if _is_started if _rightbars > MAX_BARS my_note := label.new(_x, _y, f_message_limit_bars(_rightbars), style=label.style_label_upper_left, color=color.yellow, textalign=text.align_left, yloc=yloc.price) else if session if _rightbars > MAX_BARS label.set_y(my_note, _y) label.set_text(my_note, f_message_limit_bars(_rightbars)) else label.delete(my_note) else if _is_ended label.delete(my_note) data // Rendering session // f_render_sessionrange (_show, Session data, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_vertical = false) => var line above_line = na var line below_line = na session = data.session() if _show if _is_started if _is_vertical above_line := line.new(_x1, _top, _x1, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color) below_line := line.new(_x2, _top, _x2, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color) else above_line := line.new(_x1, _top, _x2, _top, width=i_sess_border_width, style=i_sess_border_style, color=_color) below_line := line.new(_x1, _bottom, _x2, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color) linefill.new(above_line, below_line, color.new(_color, i_sess_bgopacity)) array.push(data.lines, above_line) array.push(data.lines, below_line) util.clear_lines(data.lines, data.is_extended ? 2 : i_history_period * 2) if data.is_extended if _is_vertical line.set_extend(above_line, extend.both) line.set_extend(below_line, extend.both) else line.set_extend(above_line, extend.right) line.set_extend(below_line, extend.right) else if session if _is_vertical line.set_y1(above_line, _bottom) line.set_y2(above_line, _top) line.set_y1(below_line, _bottom) line.set_y2(below_line, _top) else line.set_y1(above_line, _top) line.set_y2(above_line, _top) line.set_x2(above_line, _x2) line.set_y1(below_line, _bottom) line.set_y2(below_line, _bottom) line.set_x2(below_line, _x2) else if _is_ended if _is_vertical line.set_x1(below_line, _x2-session_end_offset) line.set_x2(below_line, _x2-session_end_offset) else line.set_x2(above_line, _x2-session_end_offset) line.set_x2(below_line, _x2-session_end_offset) data.add(_top - _bottom , i_info_period) data // ------------------------ // Rendering session box // ------------------------ f_render_session (_show, Session data, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2) => var box my_box = na session = data.session() if _show if _is_started my_box := box.new(_x1, _top, _x2, _bottom, _color, i_sess_border_width, i_sess_border_style, bgcolor=color.new(_color, i_sess_bgopacity)) array.push(data.boxes, my_box) util.clear_boxes(data.boxes, data.is_extended ? 1 : i_history_period) if data.is_extended box.set_extend(my_box, extend.right) else if session box.set_top(my_box, _top) box.set_bottom(my_box, _bottom) f_set_box_right(my_box, _x2) else if _is_ended box.set_right(my_box, bar_index-session_end_offset) data.add(_top - _bottom , i_info_period) data f_render_dots (_show, Session data, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2) => var float _open = na var box oc_box = na var line oc_line_u = na var line oc_line_l = na session = data.session() if _show and i_sess_box_dots if _is_started oc_line_u := line.new(_x1, open , _x2, open , color=color.new(_color, 70), style=line.style_dotted) oc_line_l := line.new(_x1, close, _x2, close, color=color.new(_color, 70), style=line.style_dotted) linefill.new(oc_line_u, oc_line_l, color.new(_color, i_sess_bgopacity2)) array.push(data.oclines, oc_line_u) array.push(data.oclines, oc_line_l) util.clear_lines(data.oclines, data.is_extended ? 2 : i_history_period * 2) util.clear_labels(data.oc_labels, data.is_extended ? 2 : math.max(0, (i_history_period - 1) * 2)) _open := open else if session line.set_x2(oc_line_u, _x2) line.set_x2(oc_line_l, _x2) line.set_y1(oc_line_l, close) line.set_y2(oc_line_l, close) else if _is_ended array.push(data.oc_labels, Dot.new(_x1, _open, '●', _color).create()) array.push(data.oc_labels, Dot.new(_x2-session_end_offset, close , '◉', _color).create()) line.set_x2(oc_line_u, _x2-session_end_offset) line.set_x2(oc_line_l, _x2-session_end_offset) line.set_y1(oc_line_l, close ) line.set_y2(oc_line_l, close ) _open := na true // ------------------------ // Drawing market // ------------------------ f_render_main (_show, Session data, _is_started, _is_ended, _color, _top, _bottom) => var x1 = 0 var x2 = 0 x2_offset = 1 session = data.session() x0_1 = ta.valuewhen(na(session ) and session, bar_index, 1) x0_2 = ta.valuewhen(na(session) and session , bar_index, 0) x0_d = math.min(math.abs(x0_2 - x0_1), MAX_BARS) rightbars = x0_d if _show if _is_started x1 := bar_index x2 := bar_index + x0_d data.ohlc.open := open data.ohlc.high := _top data.ohlc.low := _bottom data.ohlc.hl := _top -_bottom data.in_session := true else if session true_x2 = x1 + x0_d rightbars := true_x2 - bar_index max_bars = bar_index + MAX_BARS x2 := math.min(true_x2, max_bars) data.ohlc.high := _top data.ohlc.low := _bottom data.ohlc.hl := _top - _bottom else if _is_ended data.in_session := false data.ohlc.open := na // ------------------------ // Drawing // ------------------------ draw (_show, Session data, _extend, _show_fib, _show_op) => session = data.session() max = f_get_period(session, 1, i_lookback) top = ta.highest(high, max) bottom = ta.lowest(low, max) col = data.colour is_started = f_get_started(session) is_ended = f_get_ended(session) = f_render_main(_show, data, is_started, is_ended, col, top, bottom) if i_sess_box_style == 'Box' or i_sess_box_style == 'Background' or i_sess_box_style == 'Candle' f_render_session(_show, data, is_started, is_ended, col, top, bottom, x1, x2) f_render_dots(_show, data, is_started, is_ended, col, top, bottom, x1, x2) else if i_sess_box_style == 'Hamburger' f_render_sessionrange(_show, data, is_started, is_ended, col, top, bottom, x1, x2) else if i_sess_box_style == 'Sandwich' f_render_sessionrange(_show, data, is_started, is_ended, col, top, bottom, x1, x2, true) if i_show_candle f_render_candle(_show, data, is_started, is_ended, col, top, bottom, ohlc.open, x1, x2) if i_label_show f_render_label(_show, data, is_started, col, top, bottom) if _show_op f_render_oprange(_show, data, is_started, is_ended, x1, x2, col, max) if _show_fib f_render_fibonacci(_show, data, is_started, is_ended, x1, x2, col, top, bottom, 0.500, 2, line.style_solid) f_render_fibonacci(_show, data, is_started, is_ended, x1, x2, col, top, bottom, 0.628, i_f_linewidth, i_f_linestyle) f_render_fibonacci(_show, data, is_started, is_ended, x1, x2, col, top, bottom, 0.382, i_f_linewidth, i_f_linestyle) util.clear_lines(data.fib, i_history_period * 3) f_render_limitmessage(_show, data, is_started, is_ended, x1, bottom, _rightbars) /////////////////// // Calculating /////////////////// string tz = (i_tz == option_no or i_tz == '') ? na : i_tz /////////////////// // Plotting /////////////////// var sess1_data = Session.new(i_sess1, tz, i_sess1_label, i_sess1_color).create(i_sess1_extend, i_sess1_fib, i_sess1_op) var sess2_data = Session.new(i_sess2, tz, i_sess2_label, i_sess2_color).create(i_sess2_extend, i_sess2_fib, i_sess2_op) var sess3_data = Session.new(i_sess3, tz, i_sess3_label, i_sess3_color).create(i_sess3_extend, i_sess3_fib, i_sess3_op) var sess4_data = Session.new(i_sess4, tz, i_sess4_label, i_sess4_color).create(i_sess4_extend, i_sess4_fib, i_sess4_op) var sess5_data = Session.new(i_sess5, tz, i_sess5_label, i_sess5_color).create(i_sess5_extend, i_sess5_fib, i_sess5_op) = draw(i_show_sess1, sess1_data, i_sess1_extend, i_sess1_fib, i_sess1_op) = draw(i_show_sess2, sess2_data, i_sess2_extend, i_sess2_fib, i_sess2_op) = draw(i_show_sess3, sess3_data, i_sess3_extend, i_sess3_fib, i_sess3_op) = draw(i_show_sess4, sess4_data, i_sess4_extend, i_sess4_fib, i_sess4_op) = draw(i_show_sess5, sess5_data, i_sess5_extend, i_sess5_fib, i_sess5_op) is_positive_bar = close > open color c_barcolor = na color c_plotcandle = na c_sess1_barcolor = (is_sess1) ? (is_positive_bar ? i_sess1_barcolor1 : i_sess1_barcolor2) : na c_sess2_barcolor = (is_sess2) ? (is_positive_bar ? i_sess2_barcolor1 : i_sess2_barcolor2) : na c_sess3_barcolor = (is_sess3) ? (is_positive_bar ? i_sess3_barcolor1 : i_sess3_barcolor2) : na c_sess4_barcolor = (is_sess4) ? (is_positive_bar ? i_sess4_barcolor1 : i_sess4_barcolor2) : na c_sess5_barcolor = (is_sess5) ? (is_positive_bar ? i_sess5_barcolor1 : i_sess5_barcolor2) : na if (i_sess1_chart != option_chart_x) and is_sess1 c_barcolor := i_sess1_barcolor ? c_sess1_barcolor : na c_plotcandle := i_sess1_plotcandle ? c_sess1_barcolor : na if (i_sess2_chart != option_chart_x) and is_sess2 c_barcolor := i_sess2_barcolor ? c_sess2_barcolor : na c_plotcandle := i_sess2_plotcandle ? c_sess2_barcolor : na if (i_sess3_chart != option_chart_x) and is_sess3 c_barcolor := i_sess3_barcolor ? c_sess3_barcolor : na c_plotcandle := i_sess3_plotcandle ? c_sess3_barcolor : na if (i_sess4_chart != option_chart_x) and is_sess4 c_barcolor := i_sess4_barcolor ? c_sess4_barcolor : na c_plotcandle := i_sess4_plotcandle ? c_sess4_barcolor : na if (i_sess5_chart != option_chart_x) and is_sess5 c_barcolor := i_sess5_barcolor ? c_sess5_barcolor : na c_plotcandle := i_sess5_plotcandle ? c_sess5_barcolor : na barcolor(c_barcolor) plotcandle(open, high, low, close, color=is_positive_bar ? TRANSPARENT : c_plotcandle, bordercolor=c_plotcandle, wickcolor=c_plotcandle) //////////////////// // Alerts //////////////////// // Session alerts sess1_started = is_sess1 and not is_sess1 , sess1_ended = not is_sess1 and is_sess1 sess2_started = is_sess2 and not is_sess2 , sess2_ended = not is_sess2 and is_sess2 sess3_started = is_sess3 and not is_sess3 , sess3_ended = not is_sess3 and is_sess3 sess4_started = is_sess4 and not is_sess4 , sess4_ended = not is_sess4 and is_sess4 sess5_started = is_sess5 and not is_sess5 , sess5_ended = not is_sess5 and is_sess5 alertcondition(sess1_started, 'Session #1 started') alertcondition(sess1_ended, 'Session #1 ended' ) alertcondition(sess2_started, 'Session #2 started') alertcondition(sess2_ended, 'Session #2 ended' ) alertcondition(sess3_started, 'Session #3 started') alertcondition(sess3_ended, 'Session #3 ended' ) alertcondition(sess4_started, 'Session #4 started') alertcondition(sess4_ended, 'Session #4 ended' ) alertcondition(sess5_started, 'Session #5 started') alertcondition(sess5_ended, 'Session #5 ended' ) alertcondition((not is_sess1) and ta.crossover (close, sess1_ohlc.high), 'Session #1 High crossed (after session closed)') alertcondition((not is_sess1) and ta.crossunder(close, sess1_ohlc.low) , 'Session #1 Low crossed (after session closed)' ) alertcondition((not is_sess2) and ta.crossover (close, sess2_ohlc.high), 'Session #2 High crossed (after session closed)') alertcondition((not is_sess2) and ta.crossunder(close, sess2_ohlc.low) , 'Session #2 Low crossed (after session closed)' ) alertcondition((not is_sess3) and ta.crossover (close, sess3_ohlc.high), 'Session #3 High crossed (after session closed)') alertcondition((not is_sess3) and ta.crossunder(close, sess3_ohlc.low) , 'Session #3 Low crossed (after session closed)' ) alertcondition((not is_sess4) and ta.crossover (close, sess4_ohlc.high), 'Session #4 High crossed (after session closed)') alertcondition((not is_sess4) and ta.crossunder(close, sess4_ohlc.low) , 'Session #4 Low crossed (after session closed)' ) alertcondition((not is_sess5) and ta.crossover (close, sess5_ohlc.high), 'Session #5 High crossed (after session closed)') alertcondition((not is_sess5) and ta.crossunder(close, sess5_ohlc.low) , 'Session # Low crossed (after session closed)' ) // Alerts visualized if i_alert1_show if i_show_sess1 if sess1_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess1_ended label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down) if i_show_sess2 if sess2_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess2_ended label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down) if i_show_sess3 if sess3_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess3_ended label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down) if i_show_sess4 if sess4_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess4_ended label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down) if i_show_sess5 if sess5_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess5_ended label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess5_color, textcolor=color_text, size=size.small, style=label.style_label_down) plot(i_alert3_show ? sess1_ohlc.high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color) plot(i_alert3_show ? sess1_ohlc.low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2) plot(i_alert3_show ? sess2_ohlc.high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color) plot(i_alert3_show ? sess2_ohlc.low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2) plot(i_alert3_show ? sess3_ohlc.high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color) plot(i_alert3_show ? sess3_ohlc.low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2) plot(i_alert3_show ? sess4_ohlc.high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color) plot(i_alert3_show ? sess4_ohlc.low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2) plot(i_alert3_show ? sess5_ohlc.high : na, 'sess5_high', style=plot.style_linebr, color=i_sess5_color) plot(i_alert3_show ? sess5_ohlc.low : na, 'sess5_low' , style=plot.style_linebr, color=i_sess5_color, linewidth=2) plotshape(i_alert3_show and (not is_sess1) and ta.crossover (close, sess1_ohlc.high) ? sess1_ohlc.high : na, 'cross sess1_high', color=i_sess1_color, style=shape.triangleup , location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess1) and ta.crossunder(close, sess1_ohlc.low) ? sess1_ohlc.low : na, 'cross sess1_low' , color=i_sess1_color, style=shape.triangledown, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess2) and ta.crossover (close, sess2_ohlc.high) ? sess2_ohlc.high : na, 'cross sess2_high', color=i_sess2_color, style=shape.triangleup , location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess2) and ta.crossunder(close, sess2_ohlc.low) ? sess2_ohlc.low : na, 'cross sess2_low' , color=i_sess2_color, style=shape.triangledown, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess3) and ta.crossover (close, sess3_ohlc.high) ? sess3_ohlc.high : na, 'cross sess3_high', color=i_sess3_color, style=shape.triangleup , location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess3) and ta.crossunder(close, sess3_ohlc.low) ? sess3_ohlc.low : na, 'cross sess3_low' , color=i_sess3_color, style=shape.triangledown, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess4) and ta.crossover (close, sess4_ohlc.high) ? sess4_ohlc.high : na, 'cross sess4_high', color=i_sess4_color, style=shape.triangleup , location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess4) and ta.crossunder(close, sess4_ohlc.low) ? sess4_ohlc.low : na, 'cross sess4_low' , color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny) ////////////// // Analysis // var text_color = #e1e2e4 var bgcolor = #1a1c20 var color_green = ac.monokai('green') var color_orange = ac.monokai('orange') var color_red = ac.monokai('red') var color_ind_green = ac.tradingview('green') var color_ind_gray = color.new(ac.tradingview('gray'), 30) var color_white = #e1e2e4 i_show_op_analysis = false//input.bool(true, 'Opening range table') i_show_analysis2 = false//input.bool(false) if i_show_info and barstate.islast data = array.new() if array.size(sess1_data.price_ranges) > 0 data.push(sess1_data) if array.size(sess2_data.price_ranges) > 0 data.push(sess2_data) if array.size(sess3_data.price_ranges) > 0 data.push(sess3_data) if array.size(sess4_data.price_ranges) > 0 data.push(sess4_data) var tbl_avg = table.new(position.top_right, 5, 5, frame_width=2, bgcolor=bgcolor, frame_color=#25272c, border_width=1, border_color=#25272c) table.cell(tbl_avg, 0, 0, 'Session', text_color=color.new(text_color, 60), text_size=i_info_size, text_halign=text.align_center) table.cell(tbl_avg, 1, 0, '', text_color=color.new(text_color, 60), text_size=i_info_size) table.cell(tbl_avg, 2, 0, 'Cur', text_color=color.new(text_color, 60), text_size=i_info_size) table.cell(tbl_avg, 3, 0, 'Avg('+str.tostring(i_info_period)+')', text_color=color.new(text_color, 60), text_size=i_info_size) table.cell(tbl_avg, 4, 0, '%', text_color=color.new(text_color, 60), text_size=i_info_size) table.merge_cells(tbl_avg, 0, 0, 1, 0) if array.size(data) > 0 for i = 0 to array.size(data) - 1 my_data = array.get(data, i) in_session = my_data.in_session and session.ismarket p = my_data.ohlc.hl / my_data.price_range_avg col_cur = p < 0.75 ? color_green : p < 1.25 ? color_orange : color_red v1 = i_info_value_type == 'Price' ? str.tostring(my_data.ohlc.hl, format.mintick) : str.tostring(util.toPips(my_data.ohlc.hl), '#.#') v2 = i_info_value_type == 'Price' ? str.tostring(my_data.price_range_avg, format.mintick) : str.tostring(util.toPips(my_data.price_range_avg), '#.#') v3 = in_session ? '◉' : '●' color_name = in_session ? color_white : color.new(ac.monokai('gray'), 30) color_ind = in_session ? color_ind_green : color_ind_gray color_cur = in_session ? col_cur : color.new(col_cur, 60) table.cell(tbl_avg, 0, i + 1, my_data.name, text_color=color_name, text_size=i_info_size, text_halign=text.align_left) table.cell(tbl_avg, 1, i + 1, v3, text_color=color_ind , text_size=size.tiny, text_halign=text.align_center, text_valign=text.align_center) table.cell(tbl_avg, 2, i + 1, v1, text_color=color_cur , text_size=i_info_size, text_halign=text.align_right, text_font_family=font.family_monospace) table.cell(tbl_avg, 3, i + 1, v2, text_color=color_name, text_size=i_info_size, text_halign=text.align_right, text_font_family=font.family_monospace) table.cell(tbl_avg, 4, i + 1, str.format('{0,number,percent}', p), text_color=color_cur, text_size=i_info_size, text_halign=text.align_right, text_font_family=font.family_monospace) if i_show_op_analysis and (barstate.islast or barstate.isconfirmed) data = array.new() if sess1_data.op.reached_count > 0 array.unshift(data, sess1_data) if sess2_data.op.reached_count > 0 array.unshift(data, sess2_data) if sess3_data.op.reached_count > 0 array.unshift(data, sess3_data) if sess4_data.op.reached_count > 0 array.unshift(data, sess4_data) var tbl_op = table.new(position.bottom_right, 7, 5, frame_width=2, bgcolor=bgcolor, frame_color=#25272c, border_width=1, border_color=#25272c) table.cell(tbl_op, 0, 0, 'Opening range' + (array.size(data) == 0 ? ' (No data)' : ''), text_size=i_info_size) table.merge_cells(tbl_op, 0, 0, 6, 0) if array.size(data) > 0 table.cell(tbl_op, 0, 1, 'Session', text_size=i_info_size) table.cell(tbl_op, 1, 1, 'Sum', text_size=i_info_size) table.cell(tbl_op, 2, 1, 'R1', text_size=i_info_size) table.cell(tbl_op, 3, 1, 'S1', text_size=i_info_size) table.cell(tbl_op, 4, 1, 'R2', text_size=i_info_size) table.cell(tbl_op, 5, 1, 'S2', text_size=i_info_size) table.cell(tbl_op, 6, 1, 'Total', text_size=i_info_size) row_index = 2 for i = 0 to array.size(data) -1 my_data = array.get(data, i) table.cell(tbl_op, 0, row_index + i, my_data.name, text_size=i_info_size, text_color=color_white, text_halign=text.align_left) table.cell(tbl_op, 1, row_index + i, str.format('{0,number,percent}', my_data.op.reached_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size) table.cell(tbl_op, 2, row_index + i, str.format('{0,number,percent}', my_data.op.reached_R1_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size) table.cell(tbl_op, 3, row_index + i, str.format('{0,number,percent}', my_data.op.reached_S1_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size) table.cell(tbl_op, 4, row_index + i, str.format('{0,number,percent}', my_data.op.reached_R2_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size) table.cell(tbl_op, 5, row_index + i, str.format('{0,number,percent}', my_data.op.reached_S2_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size) table.cell(tbl_op, 6, row_index + i, str.tostring(my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size) if i_show_analysis2 and barstate.islast max = 100 g_base = ta.lowest(max) s3_count = 0 s2_count = 0 var g_lines = array.new() x = bar_index + 20 util.clear_lines(g_lines, 0) array.push(g_lines, line.new(x + 0, g_base, x + 0, g_base + sess1_data.price_range_avg, color=sess1_data.colour, width=3)) array.push(g_lines, line.new(x + 2, g_base, x + 2, g_base + sess2_data.price_range_avg, color=sess2_data.colour, width=3)) array.push(g_lines, line.new(x + 4, g_base, x + 4, g_base + sess3_data.price_range_avg, color=sess3_data.colour, width=3)) array.push(g_lines, line.new(x + 6, g_base, x + 6, g_base + sess4_data.price_range_avg, color=sess4_data.colour, width=3)) if array.size(sess1_data.price_ranges) > 0 and array.size(sess3_data.price_ranges) > 0 for i = 0 to array.size(sess1_data.price_ranges) - 1 s1 = array.get(sess1_data.price_ranges, i) s3 = array.get(sess3_data.price_ranges, i) if s3 / s1 > 1 s3_count := s3_count + 1 tbl = table.new(position.bottom_right, 3, 3, frame_width=2, bgcolor=bgcolor, frame_color=#25272c, border_width=1, border_color=#25272c) table.cell(tbl, 0, 0, sess3_data.name + ' > ' + sess1_data.name, text_color=#e1e2e4) table.cell(tbl, 1, 0, str.tostring(s3_count) + ' / ' + str.tostring(array.size(sess1_data.price_ranges)), text_color=#e1e2e4) table.cell(tbl, 2, 0, str.format('{0,number,percent}', s3_count / array.size(sess1_data.price_ranges) ), text_color=#e1e2e4) table.cell(tbl, 0, 1, syminfo.ticker + '('+ syminfo.currency +')', text_color=#e1e2e4) table.merge_cells(tbl, 0, 1, 2, 1) // --- Input Definitions --- range_start_hour = input.int(4, "Range Start Hour", group="START", inline="start", minval=0, maxval=23) range_start_minute = input.int(0, "Minutes", group="START", inline="start", minval=0, maxval=59) range_end_hour = input.int(12, "Range End Hour", group="END", inline="end", minval=0, maxval=23) range_end_minute = input.int(0, "Minutes", group="END", inline="end", minval=0, maxval=59) timezone_offset_hours = input.int(0, "Timezone UTC Offset Hours", group="Time Zone Offset", minval=-12, maxval=14) timezone_offset_minutes = input.int(0, "Timezone UTC Offset Minutes", group="Time Zone Offset", minval=-59, maxval=59) count = input(3, "Count") colorTop = input(color.green, "Top Color", group="STYLING") colorBetween = input(color.new(color.gray, 50), "Between Color", group="STYLING") colorBottom = input(color.red, "Bottom Color", group="STYLING") colorRange = input(color.blue, "Range Color", group="STYLING") rangeIsDotted = input(true, "Dash Line Style For The Range", group="STYLING") plot_mid = input(true, "Plot Mid Lines") close_to_close = input(false, "Close To Close (instead of low to high distance)") // --- Variable Initialization --- var float range_high = na var float range_low = na var float distance = na var int startIDX = na // Function to calculate adjusted time based on timezone offset getAdjustedTime(hour, minute, offset_hours, offset_minutes) => total_minutes = hour * 60 + minute + offset_hours * 60 + offset_minutes // Function to normalize time to minutes from the start of the week normalizeTimeToWeek(hour, minute) => (dayofweek - 1) * 24 * 60 + hour * 60 + minute // Adjusted Time Calculations = getAdjustedTime(range_start_hour, range_start_minute, timezone_offset_hours, timezone_offset_minutes) = getAdjustedTime(range_end_hour, range_end_minute, timezone_offset_hours, timezone_offset_minutes) // Normalize times to minutes from the start of the week start_time_minutes = normalizeTimeToWeek(adjusted_start_hour, adjusted_start_minute) end_time_minutes = normalizeTimeToWeek(adjusted_end_hour, adjusted_end_minute) // Adjust the end time if the range spans over midnight if adjusted_start_hour > adjusted_end_hour or (adjusted_start_hour == adjusted_end_hour and adjusted_start_minute > adjusted_end_minute) end_time_minutes := end_time_minutes + 7 * 24 * 60 // Add 7 days worth of minutes // Current time normalized to minutes from the start of the week current_time_minutes = normalizeTimeToWeek(hour, minute) // Detect if the current time is before the start of the week normalized time if current_time_minutes < start_time_minutes current_time_minutes := current_time_minutes + 7 * 24 * 60 // Adjust for new week // Determine if we are in the plotting range isInRange = current_time_minutes >= start_time_minutes and current_time_minutes <= end_time_minutes // Main Logic if isInRange if na(range_high) // If this is the first bar to plot startIDX := bar_index range_high := close_to_close ? close : high range_low := close_to_close ? close : low else range_high := math.max(range_high, close_to_close ? close : high) range_low := math.min(range_low, close_to_close ? close : low) distance := range_high - range_low else if not na(range_high) // If we have completed the range // Draw the range lines line.new(startIDX, range_high, bar_index , range_high, xloc=xloc.bar_index, style=rangeIsDotted ? line.style_dashed : line.style_solid, color=colorRange) line.new(startIDX, range_low, bar_index , range_low, xloc=xloc.bar_index, style=rangeIsDotted ? line.style_dashed : line.style_solid, color=colorRange) // Draw additional lines based on the count input for i = 1 to count line.new(startIDX, range_high + i * distance, bar_index , range_high + i * distance, xloc=xloc.bar_index, style=line.style_solid, color=colorTop) line.new(startIDX, range_low - i * distance, bar_index , range_low - i * distance, xloc=xloc.bar_index, style=line.style_solid, color=colorBottom) if plot_mid line.new(startIDX, range_high + (i - 0.5) * distance, bar_index , range_high + (i - 0.5) * distance, xloc=xloc.bar_index, style=line.style_dashed, color=colorBetween) line.new(startIDX, range_low - (i - 0.5) * distance, bar_index , range_low - (i - 0.5) * distance, xloc=xloc.bar_index, style=line.style_dashed, color=colorBetween) // Reset the variables after plotting range_high := na range_low := na distance := na startIDX := na
Pine Script™ indicator
by hashimvfxartist
Supertrend + KAMA Long StrategyThis strategy combines Supertrend and Kaufman Adaptive Moving Average (KAMA) indicators to identify long positions and manage stop-loss conditions effectively. **Supertrend**: Determines the trend direction and helps identify entry and exit points. **KAMA**: Adapts dynamically to market volatility and confirms trend reversals. The strategy enters a long position when the Supertrend indicates an uptrend and the price is above the KAMA. It exits when the Supertrend switches to a downtrend and the price is below the KAMA, minimizing losses or protecting profits.
Pine Script™ strategy
by dandawar7
[Taj_treyder] signal buy-sell + ZigZagСалом ба хама Трейдерони Точик! Ман Абдулло Ахмадов хастам. Ман ин индикатор-ро барои истифодабарии трейдер-хо ва тредуня-хои Точик сохтам, Аз сабабе ки ин индикатор-ро ман аз 4- авторхои дигари Тредингвью гирифтам якчоя кардам онро дар руйи хати умуми монда наметонам. Шумо метавонед ин индикатор-ро озод дар графикхои худ истифода баред (Таймфрейми аз 45М, 1Н, 2Н, 4Н, то D1). Хусусият-хои ин индикатор: Ердам кардан дар Торговляи шумо, Осон намудани Тичорати шумо дар бозорхои чахони! 1.- Муян намудани уровен-хои Сапративления ва Подержка, 2.- Муаян намудани Линия Тренда. 3.- Муаян намудани Восходящий ё Нисходящий Тренд (Рынок боло ё поён харакат дорад). 4.- Муаян намудани Точка входа-100% (чойи аники 100% Сделкаро кушодан). 5.- Мондани-100% Стоп-Лосс (чойи аники-100% мондани басс-зарар-дидан, - 2% аз Капитал). 6.- Мондани Тейк-профит (Чойи аники-100% баландтар-ини гирифтани фойда, 1/3, 1/5). Ман ин индикаторро барои истифода барии Трейдер-хои тамоми Точикони руи замин сохтам! истифода-барии ин ройгон (бе пул, "без платно" мебошад). Ин Индикатор кори шуморо-95% осон мекунад, Ердами аники хисоби математикии Уровинхо, Ердами аники математикии Линия-Тренда, Ердами-100% аники кушодани сделкахои Лонг ё Шорт (100%- сигналы Buy и Sell с помощью искусственного интеллекта). Ердами фахмиши боло ё поён равии Рынокхо (100%- определения Восходящего и Нисходящего рынока).
Pine Script™ indicator
by Abdullo_86
Temporary Help Services Jobs - Trend Allocation StrategyThis strategy is designed to capitalize on the economic trends represented by the Temporary Help Services (TEMPHELPS) index, which is published by the Federal Reserve Economic Data (FRED). Temporary Help Services Jobs are often regarded as a leading indicator of labor market conditions, as changes in temporary employment levels frequently precede broader employment trends. Methodology: Data Source: The strategy uses the FRED dataset TEMPHELPS for monthly data on temporary help services. Trend Definition: Uptrend: When the current month's value is greater than the previous month's value. Downtrend: When the current month's value is less than the previous month's value. Entry Condition: A long position is opened when an uptrend is detected, provided no position is currently held. Exit Condition: The long position is closed when a downtrend is detected. Scientific Basis: The TEMPHELPS index serves as a leading economic indicator, as noted in studies analyzing labor market cyclicality (e.g., Katz & Krueger, 1999). Temporary employment is often considered a proxy for broader economic conditions, particularly in predicting recessions or recoveries. Incorporating this index into trading strategies allows for aligning trades with potential macroeconomic shifts, as suggested by research on employment trends and market performance (Autor, 2001; Valetta & Bengali, 2013). Usage: This strategy is best suited for long-term investors or macroeconomic trend followers who wish to leverage labor market signals for equity or futures trading. It operates exclusively on end-of-month data, ensuring minimal transaction costs and noise.
Pine Script™ strategy
by EdgeTools
MTF Countdown with Direction - AynetIndicator Definition and Inputs: pineCopyindicator('MTF Countdown with Direction - Aynet', overlay = true) This code creates a Multiple Time Frame (MTF) countdown indicator with direction The overlay = true parameter places the indicator on top of the price chart Timeframe Options: Users can choose to show/hide the following timeframes: 1 minute 5 minutes 15 minutes 30 minutes 1 hour 4 hours Daily Time Calculations: pineCopyget_current_time() Calculates the current time Converts Unix timestamp to seconds Calculates time since midnight Returns time broken down into hours, minutes, and seconds Countdown Calculation: pineCopyget_period_countdown(period_seconds) Calculates remaining time for each timeframe Computes elapsed time in current period Returns remaining time in hours, minutes, and seconds Direction and Closing Price Calculation: Separate functions for each timeframe (get_direction_and_close_1m(), get_direction_and_close_5m(), etc.) Each function: Gets current closing price Compares with previous closing price Determines direction (up: 1, down: -1, sideways: 0) Returns direction and closing price Table Creation and Updates: Creates a table in the top right corner Table consists of 4 columns: Period (Timeframe) Time Left (Remaining time) Direction (Shown with arrows) Close (Closing price) Each row has a different background color Direction arrows: Green up arrow (▲): Price rising Red down arrow (▼): Price falling Gray line (―): Price sideways Dynamic Data Structures: pineCopyvar timeframes = array.new_int() var timeframe_names = array.new_string() var show_array = array.new_bool() Uses dynamic arrays for timeframes Adds selected timeframes to arrays on first run Key Features: Shows remaining time until period close Displays price direction for each timeframe Shows current closing prices All information in a single, easy-to-read table This indicator helps traders by providing a comprehensive view of: When each timeframe will close The direction of price movement Current closing prices across multiple timeframes in a single table, making it easier to track market movements across different time periods. The color-coding and arrow system makes it visually intuitive to understand market direction at a glance, while the countdown timer helps with timing decisions.
Pine Script™ indicator
by Aynet-London
Anchored GB TimeCustomizable indicator designed to track the number of hours elapsed since a user-defined starting point, such as the weekly market open. It highlights significant time intervals by checking the elapsed hour count against predefined GB Numbers and CE Numbers, offering precise insights for time-based trading strategies. Custom Start Time: Choose the day and hour when the counter resets, making it adaptable to different asset classes and market sessions. Perfect for aligning with weekly opens or specific algorithmic strategies. GB and CE Numbers: Predefined sets of Goldbach (GB) Numbers and Critical Event (CE) Numbers. Labels are displayed when the hour counter matches one of these significant numbers. Customizable Appearance: Separate settings for GB and CE labels: Enable or disable each set. Customize label colors, sizes, and vertical offsets. Time Zone Support: Select your desired time zone for accurate start time synchronization with your chart. Consistent Label Placement: Labels remain fixed above the candles regardless of zoom level or price range, ensuring clarity on any chart. Useful for: Time-Based Strategies: Identify key market intervals for entries or exits based on elapsed trading hours. Custom Session Tracking: Monitor time progression across different market sessions or instruments. Algorithmic Insights: Integrate time-based rules into your trading systems with precision. How to Use: 1. Set the start day and hour using the Algo Start Day and Algo Start Hour inputs. 2. Customize the appearance of GB Time and CE Numbers labels as needed. 3. Align the chart's time zone with the indicator for accurate time tracking. In the chart example, price is anchored to Sunday at 6pm, the opening hour for the week for futures
Pine Script™ indicator
by rh19
Prem_0915_5mins_strategyThis is the strategy which is worked out in 5 min TF. This should be applied only on Indexes (e.g., Nifty 50, BankNifty, etc.). This should strictly NOT be used for stocks and other F&Os. This is just for an educational purpose. Do not follow the strategy as such. Analyse before using every strategy and every investment. Step 1: The candle should breakout and close beyond the high line (or The candle should breakdown and close below to the the low line) Step 2: Enter at the next candle after the breakout (for CE) or breakdown (for PE) Step 3: SL should be the low of the previous candle under the highline (or above the low line) but within the range Step 4: Apply for 1:1 RR ratio and quit for safer profit.
Pine Script™ indicator
by goldduraib
Option Time ValueThis TradingView script calculates and visualizes the time value of an option (Call or Put) based on its market price and intrinsic value. The time value represents the premium paid for the option above its intrinsic value, and it is a key metric for analyzing the cost of holding an option. This script is suitable for traders analyzing options on indices or stocks, such as the NIFTY 50, and supports both Call and Put options. By dynamically extracting the strike price and option type from the input symbol, it adapts seamlessly to the selected instrument. Key Features: Dynamic Instrument Selection: Users can input the underlying asset (e.g., NSE:NIFTY) and the specific option instrument (e.g., NSE:NIFTY250327C24000 for a Call or NSE:NIFTY250327P24000 for a Put). Automatic Option Type Detection: The script detects whether the option is a Call or a Put by parsing the input symbol for the characters "C" (Call) or "P" (Put). Dynamic Strike Price Extraction: The strike price is dynamically extracted from the input option symbol, eliminating the need for hardcoding and reducing user errors. Key Metrics Plotted: Time Value: The premium paid above the intrinsic value, plotted in blue. Intrinsic Value: The calculated intrinsic value of the option, plotted in green. Seamless Integration: Designed for ease of use and integration into existing TradingView setups. Automatically adjusts to the timeframe and pricing data of the selected instruments.
Pine Script™ indicator
by Srinivas_SIP
TAPDA Hourly Open Lines (Candle Body Box)-What is TAPDA? TAPDA (Time and Price Displacement Analysis) is based on the belief that markets are driven by algorithms that respond to key time-based price levels, such as session opens. Traders who follow TAPDA track these levels to anticipate price movements, reversals, and breakouts, aligning their strategies with the patterns left by these underlying algorithms. By plotting lines at specific hourly opens, the indicator allows traders to visualize where the market may react, providing a structured way to trade alongside the algorithmic flow. *************** **Sauce Alert** "TAPDA levels essentially act like algorithmic support and resistance" By plotting these hourly opens, the TAPDA Hourly Open Lines indicator helps traders track where algorithms might engage with the market. *************** -How It Works: The indicator draws a "candle body box" at selected hours, marking the open and close prices to highlight price ranges at significant times. This creates dynamic zones that reflect market sentiment and structure throughout the day. TAPDA levels are commonly respected by price, making them useful for identifying potential entry points, stop placements, and trend reversals. -Key Features: Customizable Hour Levels – Enable or disable specific times to fit your trading approach. Color & Label Control – Assign unique colors and labels to each hour for better visualization. Line Extension – Project lines for up to 24 hours into the future to track key levels. Dynamic Cleanup – Old lines automatically delete to maintain chart clarity. Manual Time Offset – Adjust for broker or server time zone differences. -Current Development: This indicator is still in development, with further updates planned to enhance functionality and customization. If you find this script helpful, feel free to copy the code and stay tuned for new features and improvements!
Pine Script™ indicator
by NeverWishing
1
CandelaCharts - Smart Money Concepts Go (SMC Go) 📝 Overview Discover the Smart Money Concepts GO (SMC GO) Indicator – the ultimate tool for mastering advanced price action strategies. This all-in-one solution simplifies trading by providing real-time Market Structure analysis, including Internal and Swing BOS/CHoCH, Order Blocks (OB), Premium and Discount Zones (PD), and the identification of Equal Highs and Lows. With SMC GO, traders can automatically annotate their charts with widely recognized price action techniques, gaining unparalleled insights into market behavior. What is Smart Money Concepts GO (SMC GO)? Smart Money Concepts (SMC) is a revolutionary approach to price action trading, focusing on liquidity and identifying optimal zones for trading decisions. By pinpointing areas where institutional traders are likely placing buy or sell orders (buy-side and sell-side liquidity), SMC empowers traders to make informed, strategic entries and exits. Whether you're a novice or a seasoned trader, adopting SMC strategies can refine your understanding of market liquidity and elevate your trading performance. Enhance your trading edge today with the Smart Money Concepts GO indicator – your gateway to precision and success in the financial markets! 📦 Features This script is packed with a wide range of features rooted in Price Action principles, as outlined below: Market Structure: (BOS, CHoCH, CHoCH+) (Internal & Swing) multi-timeframe. Candle Coloring based on market structure. Order Blocks: Order Blocks (OB), Swing Order Blocks (SOB). Multi-Timeframe support with various mitigation methods. Fair Value Gaps: Fair Value Gaps (FVG), Opening Gaps (OG). MTF w/ multiple mitigation methods. Premium & Discount: Strong/Weak Highs & Lows w/ volume percentages. Highs & Lows MTF: Previous Highs/Lows (Daily, Monday's, Weekly, Monthly, Quarterly, Yearly). Scanner: Multi-Timeframe Dashboard (5m, 15m, 30m, 1H, 4H, 1D). ⚙️ Settings Market Structure Show Market Structure: Display Market Structure Swing Points: Show Swing Points. Customization options available. Swing: Shows Swing Market Strucuture with configuration options Internal: Shows Internal Market Strucuture with configuration options Mode: Control Market Strucure detection mode Plot Candle: Candle coloring based on trend bias Bar Color: Bar coloring based on trend bias Order Blocks Show: Controls whether Blocks are displayed on the chart. Show Last: Sets the number of Blocks you want to display. Length: Determines the length detection of each Block Type. Mitigation: Highlights when an Block has been touched, using a different color without marking it as invalid. Timeframe: Specifies the timeframe used to detect Block. This is MTF functionality. Mode: Sets the available options available for Blocks detection. Filtering: Filter Blocks by CHoCH or BOS. Positioning: Position Blocks based on various options like Full, Middle, Accurate and Precise. Buy/Sell activity: Display volume bullish/bearish activity for each Block. Show metrics: Display volume metrics on the Block. Show Mid-Line: Configures the midpoint line's width and style within the Block. (Consequent Encroachment - CE) Show Border: Defines the border width and line style of the Block. Hide Overlap: Removes overlapping Blocks from view. Grayscale: Display gray color on all Blocks no matter the bias. Fair Value Gaps Show: Controls whether Imbalances are displayed on the chart. Show Last: Sets the number of Imbalances you want to display. Length: Determines the length of each Imbalance. Mitigation: Highlights when an Imbalance has been touched, using a different color without marking it as invalid. Timeframe: Specifies the timeframe used to detect Imbalances. Threshold: Sets the minimum gap size required for Imbalance detection on the chart. Show Mid-Line: Configures the midpoint line's width and style within the Imbalance. (Consequent Encroachment - CE) Show Border: Defines the border width and line style of the Imbalance. Hide Overlap: Removes overlapping Imbalances from view. Extend: Extends the Imbalance length to the current candle. Elongate: Fully extends the Imbalance length to the right side of the chart. Premium & Discount Show Premium & Discount: Show Premium & Discount zones Show Equilibrium: Show Equilibrium zone Show Strong/Weak & High/Low: Show Strong/Weak & High/Low on the chart Mode: Control displaying mode of Premium & Discount Highs & Lows MTF Day: Display PDH/PDL Week: Display PWH/PWL Month: Display PMH/PML Quaterly: Display PQH/PQL Yearly: Display PYH/PYL Scanner Scanner: Show Scanner and adjust his position ⚡️ Showcase Market Structure CHoCH & BOS EQH/L Candle Coloring Order Blocks Volumetric Order Blocks Swing Volumetric Order Blocks Fair Value Gaps Fair Value Gaps (FVG) Opening Gaps (OG) Premium & Discount Premium/Equilibrium/Discount Strong/Weak & High/Low Highs & Lows MTF Scanner 📒 Usage In the following example, the price exhibits a decisive rejection from a Bearish Order Block, highlighting a potential reversal point in the market. This rejection is further validated by the sweep of the Previous Day's High (PDH), which acts as additional confluence and reinforces the bearish bias. Such a setup indicates a high-probability trade opportunity for traders who recognize the alignment of these key price action elements. To capitalize on this scenario, you could wait for the price to retrace into the Breaker Block—a commonly used zone of interest in Smart Money Concepts. Entering a short position at this retracement point allows for a strategically favorable risk-to-reward ratio. In this case, the Previous Day's Low (PDL) serves as a logical target for taking profits, especially given the relatively small range, which ensures a measured and tactical approach to trade execution. By combining multiple layers of confluence—such as the Bearish Order Block rejection, the PDH sweep, and the Breaker Block retracement—you can develop a more comprehensive understanding of market dynamics and increase the likelihood of a successful trade outcome. Smart Money Concepts GO (SMC GO) is a versatile indicator that can be applied to a wide range of market conditions and setups. Whether you're analyzing price action in trending, consolidating, or reversal scenarios, SMC offers powerful tools for identifying key zones of liquidity, institutional order flow, and high-probability trade opportunities. Its adaptability allows traders to refine their approach across various timeframes and asset classes, making it a valuable technique for both novice and experienced traders alike. 🚨 Alerts The indicator provides the ability to set alerts for various significant market events related to its core features. You can configure alerts for the following key events: Change of Character (CHoCH) +B/-B Break of Structure (BOS) +B/-B Order Block Formation (+B/-B) Swing Order Block Formation (+B/-B) Fair Value Gaps Formation (+B/-B) Opening Gaps Formation (+B/-B) Equal Highs/Lows (EQH/EQL) +B/-B ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Pine Script™ indicator
by CandelaCharts