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Cari skrip untuk "weekly"

Weekly Covered Calls Strategy with IV & Delta LogicWhat Does the Indicator Do? this is interactive you must use it with your options chain to input data based on the contract you want to trade. Visualize three strike price levels for covered calls based on: Aggressive (closest to price, riskier). Moderate (mid-range, balanced). Low Delta (farthest, safer). Incorporate Implied Volatility (IV) from the options chain to make strike predictions more realistic and aligned with market sentiment. Adjust the risk tolerance by modifying Delta inputs and IV values. Risk is defined for example .30 delta means 30% chance of your shares being assigned. If you want to generate steady income with your shares you might want to lower the risk of them being assigned to .05 or 5% etc. How to Use the Indicator with the Options Chain Start with the Options Chain: Look for the following data points from your options chain: Implied Volatility (IV Mid): Average IV for a particular strike price. Delta: ~0.30 Delta: Closest strike (Aggressive). ~0.15–0.20 Delta: Mid-range strike (Moderate). ~0.05–0.10 Delta: Far OTM, safer (Low Delta). Strike Price: Identify strike prices for the desired Deltas. Open Interest: Check liquidity; higher OI ensures tighter spreads. Input IV into the Indicator: Enter the IV Mid value (e.g., 0.70 for 70%) from the options chain into the Implied Volatility field of the indicator. Adjust Delta Inputs Based on Risk Tolerance: Aggressive Delta: Increase if you want strikes closer to the current price (riskier, higher premium). Default: 0.2 (20% chance of shares being assigned). Moderate Delta: Balanced risk/reward. Default: 0.12 (12%) Low Delta: Decrease for safer, farther OTM strikes. Default: 0.05 (5%) Visualize the Chart: Once inputs are updated: Red Line: Aggressive Strike (closest, riskiest, higher premium). Blue Line: Moderate Strike (mid-range). Green Line: Low Delta Strike (farthest, safer). Step-by-Step Workflow Example Open the options chain and note: Implied Volatility (IV Mid): Example 71.5% → input as 0.715. Delta for desired strikes: Aggressive: 0.30 Delta → Closest strike ~ $455. Moderate: 0.15 Delta → Mid-range strike ~ $470. Low Delta: 0.05 Delta → Farther strike ~ $505. Open the indicator and adjust: IV Mid: Enter 0.715. Aggressive Delta: Leave at 0.12 (or adjust to bring strikes closer). Moderate Delta: Leave at 0.18. Low Delta: Adjust to 0.25 for safer, farther strikes. View the chart: Compare the indicator's strikes (red, blue, green) with actual options chain strikes. Use the visualization to: Validate the risk/reward for each strike. Align strikes with technical trends, support/resistance. Adjusting Inputs Based on Risk Tolerance Higher Risk: Increase Aggressive Delta (e.g., 0.15) for closer strikes. Use higher IV values for volatile stocks. Moderate Risk: Use default values (0.12–0.18 Delta). Balance premiums and probability. Lower Risk: Increase Low Delta (e.g., 0.30) for farther, safer strikes. Focus on higher IV stocks with good open interest. Key Benefits Simplifies Strike Selection: Visualizes the three risk levels directly on the chart. Aligns with Market Sentiment: Incorporates IV for realistic forecasts. Customizable for Risk: Adjust inputs to match personal risk tolerance. By combining the options chain (IV, Delta, and liquidity) with the technical chart, you get a powerful, visually intuitive tool for covered call strategies.
Indikator Pine Script®
oleh renderingnature1
1
Weekly COTAdjusted COT Index Improves upon: "COT Index Commercials vs large and small Speculators" by SystematicFutures How: CoT Indexes are adjusted by Open Interest to normalise data over time, and threshold background colours are in-line with Larry Williams recommendations from his book. Note: This indicator is **only** accurate on the Daily time-frame due to the mid-week release date for CoT data. This script calculates and plots the Adjusted Commitment of Traders (COT) Index for Commercial, Large Speculator, and Retail (Small Speculator) categories. The CoT Index is adjusted by Open Interest to normalise data through time, following the methodology of Larry Williams, providing insights into how these groups are positioned in the market with an arguably more historically accurate context. COT Categories ------------------- - Commercials (Producers/Hedgers): Large entities hedging against price changes in the underlying asset. - Large Speculators (Non-commercials): Professional traders and funds speculating on price movements. - Retail Traders (Nonreportable/Small Speculators): Small individual traders, typically less informed. Features ---------- - Open Interest Adjustment - The net positions for each category are normalized by Open Interest to account for varying contract sizes. - Customisable Look-back Period - You can adjust the number of weeks for the index calculation to control the historical range used for comparison. - Thresholds for Extremes - Upper and lower thresholds (configurable) are provided to mark overbought and oversold conditions. - Defaults - Overbought: <=20 - Oversold: >= 80 - Hide Current Week Option - Optionally hide the current week's data until market close for more accurate comparison. - Visual Aids - Plot the Commercials, Large Speculators, and Retail indexes, and optionally highlight extreme positioning. Inputs -------- - weeks - Number of weeks for historical range comparison. - upperExtreme and lowerExtreme - Thresholds to identify overbought/oversold conditions (default 80/20). - hideCurrentWeek - Option to hide current week's data until market close. - markExtremes - Highlight extremes where any index crosses the upper or lower thresholds. - Options to display or hide indexes for Commercials, Large Speculators, and Small Speculators. Outputs ---------- - The script plots the COT Index for each of the three categories and highlights periods of extreme positioning with customisable thresholds. Usage ------- - This tool is useful for traders who want to track the positioning of different market participants over time. - By identifying the extreme positions of Commercials, Large Speculators, and Retail traders, it can give insights into market sentiment and potential reversals. - Reversals of trend can be confirmed with RSI Divergence (daily), for example - Continuation can be confirmed with RSI overbought/oversold conditions (daily), and/or hidden RSI Hidden Divergence, for example
Indikator Pine Script®
oleh madungandabas
Weekly BoxThe indicator shows a box based on the high and low of the previous week that extends into the current week. The box is used to monitor breakouts or break downs of the price with respect to the previous week levels. The box is colored: - green, if there is a breakout above the previous week high; or - red, if there is a break down below the previous week low; or - yellow, if the price stays inside of the box. during the current week. Labels for the box top and bottom prices can be enabled or disabled in the settings.
Indikator Pine Script®
oleh danilogalisteu
1
Pivot Move Ranges█ OVERVIEW “Pivot Move Ranges” is an indicator that displays only the historical price ranges of moves that match the direction of the current swing. It measures the price range of each individual swing and draws them as horizontal Δ-boxes positioned at the level of the most recently detected pivot. The indicator operates with a delay equal to the set pivot detection length – after each new Pivot High, only red Δ-boxes appear showing the sizes of previous downward moves; after each new Pivot Low, only green Δ-boxes appear showing the sizes of previous upward moves. When the swing direction changes, the displayed set of levels instantly switches to the opposite direction. █ CONCEPTS The indicator was created to instantly provide the trader with objective, real historical price ranges – perfectly reinforcing classic tools such as Fibonacci extension/retracement, daily/weekly pivots, moving averages, order blocks, or Volume Profile. It detects classic Pivot High and Pivot Low points: - New Pivot High → only previous downward moves are shown (red Δ-boxes) - New Pivot Low → only previous upward moves are shown (green Δ-boxes) This ensures that at any moment you see only the historical ranges that match the current market direction. Price moves very often repeat themselves – the indicator makes these recurring levels immediately visible and ready to serve as natural reinforcement for other technical analysis tools. █ FEATURES - Pivot High / Pivot Low detection with adjustable length (default 12) - Δ-boxes – thin horizontal lines showing the exact size of previous moves that match the current swing - Automatic switching of the Δ-box set whenever a new opposite pivot appears - Memory of the last N moves (default 6, max. 50) – oldest are automatically removed - Labels showing move size (Δ) and start date/time - Full color customization (separate for up and down), border and text transparency - Choice of date format (DD.MM.YYYY or MM/DD/YYYY) - Small circles marking the exact pivot locations █ HOW TO USE Add the indicator to your TradingView chart → paste the code → Add to Chart. Settings: - Pivot Length – higher values = fewer but more significant pivots (detected with a delay equal to this length) - Max Corrections to Keep – how many previous matching moves are displayed at once - Upward / Downward Box Color – colors of the Δ-boxes - Box Border Transparency (%) – 0 = solid lines, 50–70 = subtle - Show Δ Text + Move Start Date – turn labels on/off Interpretation: At any given moment the chart shows only the historical ranges of moves in the current direction: - after a Pivot High → red Δ-boxes = “how far the market previously fell” - after a Pivot Low → green Δ-boxes = “how far the market previously rose” █ APPLICATIONS - Instant reinforcement of technical levels – historical moves matching the current swing direction often coincide with Fibonacci levels, daily/weekly pivots, moving averages, or order blocks - Fast cluster detection – set a high Max Corrections value (30–50) to see where the largest number of similarly sized moves cluster, then reduce to 6–10 and focus only on the most recent levels █ NOTES - On very strong trends, Δ-boxes can be extremely long – this is normal and correct behavior - Always use as a supporting layer alongside other technical analysis tools
Indikator Pine Script®
oleh Uncle_the_shooter
Long-Term Strategy: 1-Year Breakout + 6-Month ExitDescripción (Description): (Copia y pega todo lo que está dentro del recuadro de abajo) Description This is a long-term trend-following strategy designed to capture major market moves while filtering out short-term noise. It is based on the classic principle of "buying strength" (Breakouts) and allowing profits to run, while cutting losses when the medium-term trend reverses. How it Works (Logic) 1. Entry Condition (Long Only): The strategy looks for a significant display of strength. It enters a Long position only when two conditions are met simultaneously: Price Breakout: The closing price exceeds the highest high of the last 252 trading days (approximately 1 year). This ensures we are entering during a strong momentum phase. Trend Filter: The SuperTrend indicator (Settings: ATR 10, Factor 3.0) must be bullish. This acts as a confirmation filter to avoid false breakouts in choppy markets. 2. Exit Condition: The strategy uses a trailing stop based on price action, not a fixed percentage. It closes the position when the price closes below the lowest low of the last 126 trading days (approximately 6 months). This wide exit allows the trade to "breathe" during normal market corrections without exiting the position prematurely. Settings & Risk Management Capital Usage: The script is configured to use 10% of equity per trade to reflect realistic risk management (compounding). Commissions: Included at 0.1% to simulate real trading costs. Slippage: Included (3 ticks) to account for market execution variability. Best Use: This strategy is intended for higher timeframes (Daily or Weekly) on trending assets like Indices, Crypto, or Commodities.
Strategi Pine Script®
oleh MrOskama
Filter Trend1. Indicator Name Premium EMA Ribbon Filter (Pro Version) (Advanced Trend & Momentum Filtering System Based on EMA Ribbons) 2. One-Line Introduction A professional trend-analysis indicator that blends an advanced noise-filtering algorithm with an EMA ribbon system to extract only the pure bullish/bearish trend while smoothing out market noise. 3. Overall Description (7+ lines) The Premium EMA Ribbon Filter is more than just a set of EMAs. It analyzes the structure of a fast, medium, and slow EMA ribbon—along with the spacing and alignment between them—to determine whether the market is in a bullish trend, bearish trend, or a neutral/noise-heavy zone. The core of this indicator is its noise-reduction algorithm and trend-strength calculation system. Instead of relying on simple EMA cross signals, it evaluates how consistently the ribbon maintains bullish/bearish alignment over a specified period and highlights only strong trends with color coding, while weak or noisy areas are displayed in gray. This helps traders avoid confusing or false signals and clearly focus only on the “meaningful zones.” A Triple-Smoothing System is applied to create smoother, more refined ribbon movements, forming a stable “premium trend curve” that is less affected by short-term volatility. As a result, this indicator works effectively for scalping, swing trading, and long-term trend following—staying true to the principle of removing noise and highlighting only the core market flow. 4. Short Advantages (6 items) ① Complete Noise Filtering Using EMA ribbon comparison + tolerance logic, false reversals are largely eliminated, leaving only stable trend phases. ② Highly Readable Color System Bullish trends are mint, bearish trends are red, and neutral/noise zones are gray—instantly visualizing market conditions. ③ Trend Strength Visualization Not only trend direction but also trend strength is displayed via dynamic color transparency. ④ Smooth, Premium-Style Ribbon Design Triple-smoothing creates a refined, luxury-level smoothness in movement. ⑤ Works Across All Timeframes From 1-minute scalping to daily/weekly macro trend analysis. ⑥ Excellent Real-Trading Compatibility Works extremely well when combined with ATR, SuperTrend, and volume-based indicators. Indicator Manual (Required Section) 📌 Understanding the Core Concept The indicator uses three EMAs (e.g., 20/50/100) arranged as a ribbon to analyze the structural alignment of the trend. When the EMAs are cleanly aligned Top → Middle → Bottom, the market is in a bullish trend. When aligned Bottom → Middle → Top, the market is in a bearish trend. The indicator further evaluates the ribbon spread (gap) and the consistency of alignment to compute trend strength. Noisy market conditions are shaded gray to clearly indicate “uncertain/indecisive” zones. ⚙️ Settings Description Option Description Fast EMA Most sensitive EMA; detects early trend signals Mid EMA Stabilizes the primary trend direction Slow EMA Defines the broader, long-term trend flow Trend Lookback The period used to analyze trend strength Noise Tolerance (%) Higher values = stronger noise removal Smoothing Steps Controls how smooth the ribbon becomes 📈 Example Recognition A bullish continuation/entry scenario forms when: EMAs align in the order Fast → Mid → Slow (top side) Ribbon color shifts into mint (strong bullish trend) The ribbon begins to expand while price stays above the ribbon 📉 Example Recognition A bearish continuation/entry occurs when: EMAs align Fast → Mid → Slow (bottom side) Ribbon color remains red After contracting, the ribbon expands again during renewed downside strength 🧪 Recommended Usage Combine with volume-based indicators (OBV, Volume Profile) → enhanced strong-trend detection Use with SuperTrend or ATR Stop → clearer stop-loss placement Combine with RSI/Stoch → avoid counter-trend entries in overheated conditions Higher leverage traders should use higher tolerance settings 🔒 Cautions EMA ribbons are trend-following tools; signals may weaken in ranging/sideways markets. Never rely solely on this indicator—always confirm with volume, price patterns, or structure. Very low Lookback values may cause excessive re-entry signals. In high-volatility environments, ribbon spacing can contract/expand rapidly—use with caution.
Indikator Pine Script®
oleh c9indicator
DAYOFWEEK performance1 -Objective "What is the ''best'' day to trade .. Monday, Tuesday...." This script aims to determine if there are different results depending on the day of the week. The way it works is by dividing data by day of the week (Monday, Tuesday, Wednesday ... ) and perform calculations for each day of the week. 1 - Objective 2 - Features 3 - How to use (Examples) 4 - Inputs 5 - Limitations 6 - Notes 7 - Final Tooughs 2 - Features AVG OPEN-CLOSE Calculate de Percentage change from day open to close Green % (O-C) Percentage of days green (open to close) Average Change Absolute day change (O-C) AVG PrevD. Close-Close Percentage change from the previous day close to the day of the week close (Example: Monday (C-C) = Friday Close to Monday close Tuesday (C-C) = Monday C. to Tuesday C. Green % (C1-C) Percentage of days green (open to close) AVG Volume Day of the week Average Volume Notes: *Mon(Nº) - Nº = Number days is currently calculated Example: Monday (12) calculation based on the last 12 Mondays. Note: Discrepancies in numbers example Monday (12) - Friday (11) depend on the initial/end date or the market was closed (Holidays). 3 - How to use (Examples) For the following example, NASDAQ:AAPL from 1 Jan 21 to 1 Jul 21 the results are following. The highest probability of a Close being higher than the Open is Monday with 52.17 % and the Lowest Tuesday with 38.46 %. Meaning that there's a higher chance (for NASDAQ:AAPL ) of closing at a higher value on Monday while the highest chance of closing is lower is Tuesday. With an average gain on Tuesday of 0.21% Long - The best day to buy (long) at open (on average) is Monday with a 52.2% probability of closing higher Short - The best day to sell (short) at open (on average) is Tuesday with a 38.5% probability of closing higher (better chance of closing lower) Since the values change from ticker to ticker, there is a substantial change in the percentages and days of the week. For example let's compare the previous example ( NASDAQ:AAPL ) to NYSE:GM (same settings) For the same period, there is a substantial difference where there is a 62.5% probability Friday to close higher than the open, while Tuesday there is only a 28% probability. With an average gain of 0.59% on Friday and an average loss of -0.34% Also, the size of the table (number of days ) depends if the ticker is traded or not on that day as an example COINBASE:BTCUSD 4 - Inputs DATE RANGE Initial Date - Date from which the script will start the calculation. End Date - Date to which the script will calculate. TABLE SETTINGS Text Color - Color of the displayed text Cell Color - Background color of table cells Header Color - Color of the column and row names Table Location - Change the position where the table is located. Table Size - Changes text size and by consequence the size of the table 5 - LIMITATIONS The code determines average values based on the stored data, therefore, the range (Initial data) is limited to the first bar time. As a consequence the lower the timeframe the shorter the initial date can be and fewer weeks can be calculated. To warn about this limitation there's a warning text that appears in case the initial date exceeds the bar limit. Example with initial date 1 Jan 2021 and end date 18 Jul 2021 in 5m and 10 m timeframe: 6 - Notes and Disclosers The script can be moved around to a new pane if need. -> Object Tree > Right Click Script > Move To > New pane The code has not been tested in higher subscriptions tiers that allow for more bars and as a consequence more data, but as far I can tell, it should work without problems and should be in fact better at lower timeframes since it allows more weeks. The values displayed represent previous data and at no point is guaranteed future values 7 - Final Tooughs This script was quite fun to work on since it analysis behavioral patterns (since from an abstract point a Tuesday is no different than a Thursday), but after analyzing multiple tickers there are some days that tend to close higher than the open. PS: If you find any mistake ex: code/misspelling please comment.
Indikator Pine Script®
oleh MA_PT
25
Naveen Prabhu with EMA//@version=6 indicator('Naveen Prabhu with EMA', overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500) a = input(2, title = 'Key Vaule. \'This changes the sensitivity\'') c = input(5, title = 'ATR Period') h = input(false, title = 'Signals from Heikin Ashi Candles') BULLISH_LEG = 1 BEARISH_LEG = 0 BULLISH = +1 BEARISH = -1 GREEN = #089981 RED = #F23645 BLUE = #2157f3 GRAY = #878b94 MONO_BULLISH = #b2b5be MONO_BEARISH = #5d606b HISTORICAL = 'Historical' PRESENT = 'Present' COLORED = 'Colored' MONOCHROME = 'Monochrome' ALL = 'All' BOS = 'BOS' CHOCH = 'CHoCH' TINY = size.tiny SMALL = size.small NORMAL = size.normal ATR = 'Atr' RANGE = 'Cumulative Mean Range' CLOSE = 'Close' HIGHLOW = 'High/Low' SOLID = '⎯⎯⎯' DASHED = '----' DOTTED = '····' SMART_GROUP = 'Smart Money Concepts' INTERNAL_GROUP = 'Real Time Internal Structure' SWING_GROUP = 'Real Time Swing Structure' BLOCKS_GROUP = 'Order Blocks' EQUAL_GROUP = 'EQH/EQL' GAPS_GROUP = 'Fair Value Gaps' LEVELS_GROUP = 'Highs & Lows MTF' ZONES_GROUP = 'Premium & Discount Zones' modeTooltip = 'Allows to display historical Structure or only the recent ones' styleTooltip = 'Indicator color theme' showTrendTooltip = 'Display additional candles with a color reflecting the current trend detected by structure' showInternalsTooltip = 'Display internal market structure' internalFilterConfluenceTooltip = 'Filter non significant internal structure breakouts' showStructureTooltip = 'Display swing market Structure' showSwingsTooltip = 'Display swing point as labels on the chart' showHighLowSwingsTooltip = 'Highlight most recent strong and weak high/low points on the chart' showInternalOrderBlocksTooltip = 'Display internal order blocks on the chart\n\nNumber of internal order blocks to display on the chart' showSwingOrderBlocksTooltip = 'Display swing order blocks on the chart\n\nNumber of internal swing blocks to display on the chart' orderBlockFilterTooltip = 'Method used to filter out volatile order blocks \n\nIt is recommended to use the cumulative mean range method when a low amount of data is available' orderBlockMitigationTooltip = 'Select what values to use for order block mitigation' showEqualHighsLowsTooltip = 'Display equal highs and equal lows on the chart' equalHighsLowsLengthTooltip = 'Number of bars used to confirm equal highs and equal lows' equalHighsLowsThresholdTooltip = 'Sensitivity threshold in a range (0, 1) used for the detection of equal highs & lows\n\nLower values will return fewer but more pertinent results' showFairValueGapsTooltip = 'Display fair values gaps on the chart' fairValueGapsThresholdTooltip = 'Filter out non significant fair value gaps' fairValueGapsTimeframeTooltip = 'Fair value gaps timeframe' fairValueGapsExtendTooltip = 'Determine how many bars to extend the Fair Value Gap boxes on chart' showPremiumDiscountZonesTooltip = 'Display premium, discount, and equilibrium zones on chart' modeInput = input.string( HISTORICAL, 'Mode', group = SMART_GROUP, tooltip = modeTooltip, options = ) styleInput = input.string( COLORED, 'Style', group = SMART_GROUP, tooltip = styleTooltip,options = ) showTrendInput = input( false, 'Color Candles', group = SMART_GROUP, tooltip = showTrendTooltip) showInternalsInput = input( false, 'Show Internal Structure', group = INTERNAL_GROUP, tooltip = showInternalsTooltip) showInternalBullInput = input.string( ALL, 'Bullish Structure', group = INTERNAL_GROUP, inline = 'ibull', options = ) internalBullColorInput = input( GREEN, '', group = INTERNAL_GROUP, inline = 'ibull') showInternalBearInput = input.string( ALL, 'Bearish Structure' , group = INTERNAL_GROUP, inline = 'ibear', options = ) internalBearColorInput = input( RED, '', group = INTERNAL_GROUP, inline = 'ibear') internalFilterConfluenceInput = input( false, 'Confluence Filter', group = INTERNAL_GROUP, tooltip = internalFilterConfluenceTooltip) internalStructureSize = input.string( TINY, 'Internal Label Size', group = INTERNAL_GROUP, options = ) showStructureInput = input( false, 'Show Swing Structure', group = SWING_GROUP, tooltip = showStructureTooltip) showSwingBullInput = input.string( ALL, 'Bullish Structure', group = SWING_GROUP, inline = 'bull', options = ) swingBullColorInput = input( GREEN, '', group = SWING_GROUP, inline = 'bull') showSwingBearInput = input.string( ALL, 'Bearish Structure', group = SWING_GROUP, inline = 'bear', options = ) swingBearColorInput = input( RED, '', group = SWING_GROUP, inline = 'bear') swingStructureSize = input.string( SMALL, 'Swing Label Size', group = SWING_GROUP, options = ) showSwingsInput = input( false, 'Show Swings Points', group = SWING_GROUP, tooltip = showSwingsTooltip,inline = 'swings') swingsLengthInput = input.int( 50, '', group = SWING_GROUP, minval = 10, inline = 'swings') showHighLowSwingsInput = input( false, 'Show Strong/Weak High/Low',group = SWING_GROUP, tooltip = showHighLowSwingsTooltip) showInternalOrderBlocksInput = input( true, 'Internal Order Blocks' , group = BLOCKS_GROUP, tooltip = showInternalOrderBlocksTooltip, inline = 'iob') internalOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'iob') showSwingOrderBlocksInput = input( true, 'Swing Order Blocks', group = BLOCKS_GROUP, tooltip = showSwingOrderBlocksTooltip, inline = 'ob') swingOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'ob') orderBlockFilterInput = input.string( 'Atr', 'Order Block Filter', group = BLOCKS_GROUP, tooltip = orderBlockFilterTooltip, options = ) orderBlockMitigationInput = input.string( HIGHLOW, 'Order Block Mitigation', group = BLOCKS_GROUP, tooltip = orderBlockMitigationTooltip, options = ) internalBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Internal Bullish OB', group = BLOCKS_GROUP) internalBearishOrderBlockColor = input.color(color.new(#f77c80, 80), 'Internal Bearish OB', group = BLOCKS_GROUP) swingBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Bullish OB', group = BLOCKS_GROUP) swingBearishOrderBlockColor = input.color(color.new(#b22833, 80), 'Bearish OB', group = BLOCKS_GROUP) showEqualHighsLowsInput = input( false, 'Equal High/Low', group = EQUAL_GROUP, tooltip = showEqualHighsLowsTooltip) equalHighsLowsLengthInput = input.int( 3, 'Bars Confirmation', group = EQUAL_GROUP, tooltip = equalHighsLowsLengthTooltip, minval = 1) equalHighsLowsThresholdInput = input.float( 0.1, 'Threshold', group = EQUAL_GROUP, tooltip = equalHighsLowsThresholdTooltip, minval = 0, maxval = 0.5, step = 0.1) equalHighsLowsSizeInput = input.string( TINY, 'Label Size', group = EQUAL_GROUP, options = ) showFairValueGapsInput = input( false, 'Fair Value Gaps', group = GAPS_GROUP, tooltip = showFairValueGapsTooltip) fairValueGapsThresholdInput = input( true, 'Auto Threshold', group = GAPS_GROUP, tooltip = fairValueGapsThresholdTooltip) fairValueGapsTimeframeInput = input.timeframe('', 'Timeframe', group = GAPS_GROUP, tooltip = fairValueGapsTimeframeTooltip) fairValueGapsBullColorInput = input.color(color.new(#00ff68, 70), 'Bullish FVG' , group = GAPS_GROUP) fairValueGapsBearColorInput = input.color(color.new(#ff0008, 70), 'Bearish FVG' , group = GAPS_GROUP) fairValueGapsExtendInput = input.int( 1, 'Extend FVG', group = GAPS_GROUP, tooltip = fairValueGapsExtendTooltip, minval = 0) showDailyLevelsInput = input( false, 'Daily', group = LEVELS_GROUP, inline = 'daily') dailyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'daily', options = ) dailyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'daily') showWeeklyLevelsInput = input( false, 'Weekly', group = LEVELS_GROUP, inline = 'weekly') weeklyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'weekly', options = ) weeklyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'weekly') showMonthlyLevelsInput = input( false, 'Monthly', group = LEVELS_GROUP, inline = 'monthly') monthlyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'monthly', options = ) monthlyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'monthly') showPremiumDiscountZonesInput = input( false, 'Premium/Discount Zones', group = ZONES_GROUP , tooltip = showPremiumDiscountZonesTooltip) premiumZoneColorInput = input.color( RED, 'Premium Zone', group = ZONES_GROUP) equilibriumZoneColorInput = input.color( GRAY, 'Equilibrium Zone', group = ZONES_GROUP) discountZoneColorInput = input.color( GREEN, 'Discount Zone', group = ZONES_GROUP) type alerts bool internalBullishBOS = false bool internalBearishBOS = false bool internalBullishCHoCH = false bool internalBearishCHoCH = false bool swingBullishBOS = false bool swingBearishBOS = false bool swingBullishCHoCH = false bool swingBearishCHoCH = false bool internalBullishOrderBlock = false bool internalBearishOrderBlock = false bool swingBullishOrderBlock = false bool swingBearishOrderBlock = false bool equalHighs = false bool equalLows = false bool bullishFairValueGap = false bool bearishFairValueGap = false type trailingExtremes float top float bottom int barTime int barIndex int lastTopTime int lastBottomTime type fairValueGap float top float bottom int bias box topBox box bottomBox type trend int bias type equalDisplay line l_ine = na label l_abel = na type pivot float currentLevel float lastLevel bool crossed int barTime = time int barIndex = bar_index type orderBlock float barHigh float barLow int barTime int bias // @variable current swing pivot high var pivot swingHigh = pivot.new(na,na,false) // @variable current swing pivot low var pivot swingLow = pivot.new(na,na,false) // @variable current internal pivot high var pivot internalHigh = pivot.new(na,na,false) // @variable current internal pivot low var pivot internalLow = pivot.new(na,na,false) // @variable current equal high pivot var pivot equalHigh = pivot.new(na,na,false) // @variable current equal low pivot var pivot equalLow = pivot.new(na,na,false) // @variable swing trend bias var trend swingTrend = trend.new(0) // @variable internal trend bias var trend internalTrend = trend.new(0) // @variable equal high display var equalDisplay equalHighDisplay = equalDisplay.new() // @variable equal low display var equalDisplay equalLowDisplay = equalDisplay.new() // @variable storage for fairValueGap UDTs var array fairValueGaps = array.new() // @variable storage for parsed highs var array parsedHighs = array.new() // @variable storage for parsed lows var array parsedLows = array.new() // @variable storage for raw highs var array highs = array.new() // @variable storage for raw lows var array lows = array.new() // @variable storage for bar time values var array times = array.new() // @variable last trailing swing high and low var trailingExtremes trailing = trailingExtremes.new() // @variable storage for orderBlock UDTs (swing order blocks) var array swingOrderBlocks = array.new() // @variable storage for orderBlock UDTs (internal order blocks) var array internalOrderBlocks = array.new() // @variable storage for swing order blocks boxes var array swingOrderBlocksBoxes = array.new() // @variable storage for internal order blocks boxes var array internalOrderBlocksBoxes = array.new() // @variable color for swing bullish structures var swingBullishColor = styleInput == MONOCHROME ? MONO_BULLISH : swingBullColorInput // @variable color for swing bearish structures var swingBearishColor = styleInput == MONOCHROME ? MONO_BEARISH : swingBearColorInput // @variable color for bullish fair value gaps var fairValueGapBullishColor = styleInput == MONOCHROME ? color.new(MONO_BULLISH,70) : fairValueGapsBullColorInput // @variable color for bearish fair value gaps var fairValueGapBearishColor = styleInput == MONOCHROME ? color.new(MONO_BEARISH,70) : fairValueGapsBearColorInput // @variable color for premium zone var premiumZoneColor = styleInput == MONOCHROME ? MONO_BEARISH : premiumZoneColorInput // @variable color for discount zone var discountZoneColor = styleInput == MONOCHROME ? MONO_BULLISH : discountZoneColorInput // @variable bar index on current script iteration varip int currentBarIndex = bar_index // @variable bar index on last script iteration varip int lastBarIndex = bar_index // @variable alerts in current bar alerts currentAlerts = alerts.new() // @variable time at start of chart var initialTime = time // we create the needed boxes for displaying order blocks at the first execution if barstate.isfirst if showSwingOrderBlocksInput for index = 1 to swingOrderBlocksSizeInput swingOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right)) if showInternalOrderBlocksInput for index = 1 to internalOrderBlocksSizeInput internalOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right)) // @variable source to use in bearish order blocks mitigation bearishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : high // @variable source to use in bullish order blocks mitigation bullishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : low // @variable default volatility measure atrMeasure = ta.atr(200) // @variable parsed volatility measure by user settings volatilityMeasure = orderBlockFilterInput == ATR ? atrMeasure : ta.cum(ta.tr)/bar_index // @variable true if current bar is a high volatility bar highVolatilityBar = (high - low) >= (2 * volatilityMeasure) // @variable parsed high parsedHigh = highVolatilityBar ? low : high // @variable parsed low parsedLow = highVolatilityBar ? high : low // we store current values into the arrays at each bar parsedHighs.push(parsedHigh) parsedLows.push(parsedLow) highs.push(high) lows.push(low) times.push(time) leg(int size) => var leg = 0 newLegHigh = high > ta.highest( size) newLegLow = low < ta.lowest( size) if newLegHigh leg := BEARISH_LEG else if newLegLow leg := BULLISH_LEG leg startOfNewLeg(int leg) => ta.change(leg) != 0 startOfBearishLeg(int leg) => ta.change(leg) == -1 startOfBullishLeg(int leg) => ta.change(leg) == +1 drawLabel(int labelTime, float labelPrice, string tag, color labelColor, string labelStyle) => var label l_abel = na if modeInput == PRESENT l_abel.delete() l_abel := label.new(chart.point.new(labelTime,na,labelPrice),tag,xloc.bar_time,color=color(na),textcolor=labelColor,style = labelStyle,size = size.small) drawEqualHighLow(pivot p_ivot, float level, int size, bool equalHigh) => equalDisplay e_qualDisplay = equalHigh ? equalHighDisplay : equalLowDisplay string tag = 'EQL' color equalColor = swingBullishColor string labelStyle = label.style_label_up if equalHigh tag := 'EQH' equalColor := swingBearishColor labelStyle := label.style_label_down if modeInput == PRESENT line.delete( e_qualDisplay.l_ine) label.delete( e_qualDisplay.l_abel) e_qualDisplay.l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time ,na,level), xloc = xloc.bar_time, color = equalColor, style = line.style_dotted) labelPosition = math.round(0.5*(p_ivot.barIndex + bar_index - size)) e_qualDisplay.l_abel := label.new(chart.point.new(na,labelPosition,level), tag, xloc.bar_index, color = color(na), textcolor = equalColor, style = labelStyle, size = equalHighsLowsSizeInput) getCurrentStructure(int size,bool equalHighLow = false, bool internal = false) => currentLeg = leg(size) newPivot = startOfNewLeg(currentLeg) pivotLow = startOfBullishLeg(currentLeg) pivotHigh = startOfBearishLeg(currentLeg) if newPivot if pivotLow pivot p_ivot = equalHighLow ? equalLow : internal ? internalLow : swingLow if equalHighLow and math.abs(p_ivot.currentLevel - low ) < equalHighsLowsThresholdInput * atrMeasure drawEqualHighLow(p_ivot, low , size, false) p_ivot.lastLevel := p_ivot.currentLevel p_ivot.currentLevel := low p_ivot.crossed := false p_ivot.barTime := time p_ivot.barIndex := bar_index if not equalHighLow and not internal trailing.bottom := p_ivot.currentLevel trailing.barTime := p_ivot.barTime trailing.barIndex := p_ivot.barIndex trailing.lastBottomTime := p_ivot.barTime if showSwingsInput and not internal and not equalHighLow drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel < p_ivot.lastLevel ? 'LL' : 'HL', swingBullishColor, label.style_label_up) else pivot p_ivot = equalHighLow ? equalHigh : internal ? internalHigh : swingHigh if equalHighLow and math.abs(p_ivot.currentLevel - high ) < equalHighsLowsThresholdInput * atrMeasure drawEqualHighLow(p_ivot,high ,size,true) p_ivot.lastLevel := p_ivot.currentLevel p_ivot.currentLevel := high p_ivot.crossed := false p_ivot.barTime := time p_ivot.barIndex := bar_index if not equalHighLow and not internal trailing.top := p_ivot.currentLevel trailing.barTime := p_ivot.barTime trailing.barIndex := p_ivot.barIndex trailing.lastTopTime := p_ivot.barTime if showSwingsInput and not internal and not equalHighLow drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel > p_ivot.lastLevel ? 'HH' : 'LH', swingBearishColor, label.style_label_down) drawStructure(pivot p_ivot, string tag, color structureColor, string lineStyle, string labelStyle, string labelSize) => var line l_ine = line.new(na,na,na,na,xloc = xloc.bar_time) var label l_abel = label.new(na,na) if modeInput == PRESENT l_ine.delete() l_abel.delete() l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time,na,p_ivot.currentLevel), xloc.bar_time, color=structureColor, style=lineStyle) l_abel := label.new(chart.point.new(na,math.round(0.5*(p_ivot.barIndex+bar_index)),p_ivot.currentLevel), tag, xloc.bar_index, color=color(na), textcolor=structureColor, style=labelStyle, size = labelSize) deleteOrderBlocks(bool internal = false) => array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks for in orderBlocks bool crossedOderBlock = false if bearishOrderBlockMitigationSource > eachOrderBlock.barHigh and eachOrderBlock.bias == BEARISH crossedOderBlock := true if internal currentAlerts.internalBearishOrderBlock := true else currentAlerts.swingBearishOrderBlock := true else if bullishOrderBlockMitigationSource < eachOrderBlock.barLow and eachOrderBlock.bias == BULLISH crossedOderBlock := true if internal currentAlerts.internalBullishOrderBlock := true else currentAlerts.swingBullishOrderBlock := true if crossedOderBlock orderBlocks.remove(index) storeOrdeBlock(pivot p_ivot,bool internal = false,int bias) => if (not internal and showSwingOrderBlocksInput) or (internal and showInternalOrderBlocksInput) array a_rray = na int parsedIndex = na if bias == BEARISH a_rray := parsedHighs.slice(p_ivot.barIndex,bar_index) parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.max()) else a_rray := parsedLows.slice(p_ivot.barIndex,bar_index) parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.min()) orderBlock o_rderBlock = orderBlock.new(parsedHighs.get(parsedIndex), parsedLows.get(parsedIndex), times.get(parsedIndex),bias) array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks if orderBlocks.size() >= 100 orderBlocks.pop() orderBlocks.unshift(o_rderBlock) drawOrderBlocks(bool internal = false) => array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks orderBlocksSize = orderBlocks.size() if orderBlocksSize > 0 maxOrderBlocks = internal ? internalOrderBlocksSizeInput : swingOrderBlocksSizeInput array parsedOrdeBlocks = orderBlocks.slice(0, math.min(maxOrderBlocks,orderBlocksSize)) array b_oxes = internal ? internalOrderBlocksBoxes : swingOrderBlocksBoxes for in parsedOrdeBlocks orderBlockColor = styleInput == MONOCHROME ? (eachOrderBlock.bias == BEARISH ? color.new(MONO_BEARISH,80) : color.new(MONO_BULLISH,80)) : internal ? (eachOrderBlock.bias == BEARISH ? internalBearishOrderBlockColor : internalBullishOrderBlockColor) : (eachOrderBlock.bias == BEARISH ? swingBearishOrderBlockColor : swingBullishOrderBlockColor) box b_ox = b_oxes.get(index) b_ox.set_top_left_point( chart.point.new(eachOrderBlock.barTime,na,eachOrderBlock.barHigh)) b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,eachOrderBlock.barLow)) b_ox.set_border_color( internal ? na : orderBlockColor) b_ox.set_bgcolor( orderBlockColor) displayStructure(bool internal = false) => var bullishBar = true var bearishBar = true if internalFilterConfluenceInput bullishBar := high - math.max(close, open) > math.min(close, open - low) bearishBar := high - math.max(close, open) < math.min(close, open - low) pivot p_ivot = internal ? internalHigh : swingHigh trend t_rend = internal ? internalTrend : swingTrend lineStyle = internal ? line.style_dashed : line.style_solid labelSize = internal ? internalStructureSize : swingStructureSize extraCondition = internal ? internalHigh.currentLevel != swingHigh.currentLevel and bullishBar : true bullishColor = styleInput == MONOCHROME ? MONO_BULLISH : internal ? internalBullColorInput : swingBullColorInput if ta.crossover(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition string tag = t_rend.bias == BEARISH ? CHOCH : BOS if internal currentAlerts.internalBullishCHoCH := tag == CHOCH currentAlerts.internalBullishBOS := tag == BOS else currentAlerts.swingBullishCHoCH := tag == CHOCH currentAlerts.swingBullishBOS := tag == BOS p_ivot.crossed := true t_rend.bias := BULLISH displayCondition = internal ? showInternalsInput and (showInternalBullInput == ALL or (showInternalBullInput == BOS and tag != CHOCH) or (showInternalBullInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBullInput == ALL or (showSwingBullInput == BOS and tag != CHOCH) or (showSwingBullInput == CHOCH and tag == CHOCH)) if displayCondition drawStructure(p_ivot,tag,bullishColor,lineStyle,label.style_label_down,labelSize) if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput) storeOrdeBlock(p_ivot,internal,BULLISH) p_ivot := internal ? internalLow : swingLow extraCondition := internal ? internalLow.currentLevel != swingLow.currentLevel and bearishBar : true bearishColor = styleInput == MONOCHROME ? MONO_BEARISH : internal ? internalBearColorInput : swingBearColorInput if ta.crossunder(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition string tag = t_rend.bias == BULLISH ? CHOCH : BOS if internal currentAlerts.internalBearishCHoCH := tag == CHOCH currentAlerts.internalBearishBOS := tag == BOS else currentAlerts.swingBearishCHoCH := tag == CHOCH currentAlerts.swingBearishBOS := tag == BOS p_ivot.crossed := true t_rend.bias := BEARISH displayCondition = internal ? showInternalsInput and (showInternalBearInput == ALL or (showInternalBearInput == BOS and tag != CHOCH) or (showInternalBearInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBearInput == ALL or (showSwingBearInput == BOS and tag != CHOCH) or (showSwingBearInput == CHOCH and tag == CHOCH)) if displayCondition drawStructure(p_ivot,tag,bearishColor,lineStyle,label.style_label_up,labelSize) if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput) storeOrdeBlock(p_ivot,internal,BEARISH) fairValueGapBox(leftTime,rightTime,topPrice,bottomPrice,boxColor) => box.new(chart.point.new(leftTime,na,topPrice),chart.point.new(rightTime + fairValueGapsExtendInput * (time-time ),na,bottomPrice), xloc=xloc.bar_time, border_color = boxColor, bgcolor = boxColor) deleteFairValueGaps() => for in fairValueGaps if (low < eachFairValueGap.bottom and eachFairValueGap.bias == BULLISH) or (high > eachFairValueGap.top and eachFairValueGap.bias == BEARISH) eachFairValueGap.topBox.delete() eachFairValueGap.bottomBox.delete() fairValueGaps.remove(index) // @function draw fair value gaps // @returns fairValueGap ID drawFairValueGaps() => = request.security(syminfo.tickerid, fairValueGapsTimeframeInput, [close , open , time , high , low , time , high , low ],lookahead = barmerge.lookahead_on) barDeltaPercent = (lastClose - lastOpen) / (lastOpen * 100) newTimeframe = timeframe.change(fairValueGapsTimeframeInput) threshold = fairValueGapsThresholdInput ? ta.cum(math.abs(newTimeframe ? barDeltaPercent : 0)) / bar_index * 2 : 0 bullishFairValueGap = currentLow > last2High and lastClose > last2High and barDeltaPercent > threshold and newTimeframe bearishFairValueGap = currentHigh < last2Low and lastClose < last2Low and -barDeltaPercent > threshold and newTimeframe if bullishFairValueGap currentAlerts.bullishFairValueGap := true fairValueGaps.unshift(fairValueGap.new(currentLow,last2High,BULLISH,fairValueGapBox(lastTime,currentTime,currentLow,math.avg(currentLow,last2High),fairValueGapBullishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentLow,last2High),last2High,fairValueGapBullishColor))) if bearishFairValueGap currentAlerts.bearishFairValueGap := true fairValueGaps.unshift(fairValueGap.new(currentHigh,last2Low,BEARISH,fairValueGapBox(lastTime,currentTime,currentHigh,math.avg(currentHigh,last2Low),fairValueGapBearishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentHigh,last2Low),last2Low,fairValueGapBearishColor))) getStyle(string style) => switch style SOLID => line.style_solid DASHED => line.style_dashed DOTTED => line.style_dotted drawLevels(string timeframe, bool sameTimeframe, string style, color levelColor) => = request.security(syminfo.tickerid, timeframe, [high , low , time , time],lookahead = barmerge.lookahead_on) float parsedTop = sameTimeframe ? high : topLevel float parsedBottom = sameTimeframe ? low : bottomLevel int parsedLeftTime = sameTimeframe ? time : leftTime int parsedRightTime = sameTimeframe ? time : rightTime int parsedTopTime = time int parsedBottomTime = time if not sameTimeframe int leftIndex = times.binary_search_rightmost(parsedLeftTime) int rightIndex = times.binary_search_rightmost(parsedRightTime) array timeArray = times.slice(leftIndex,rightIndex) array topArray = highs.slice(leftIndex,rightIndex) array bottomArray = lows.slice(leftIndex,rightIndex) parsedTopTime := timeArray.size() > 0 ? timeArray.get(topArray.indexof(topArray.max())) : initialTime parsedBottomTime := timeArray.size() > 0 ? timeArray.get(bottomArray.indexof(bottomArray.min())) : initialTime var line topLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style)) var line bottomLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style)) var label topLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}H',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left) var label bottomLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}L',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left) topLine.set_first_point( chart.point.new(parsedTopTime,na,parsedTop)) topLine.set_second_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop)) topLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop)) bottomLine.set_first_point( chart.point.new(parsedBottomTime,na,parsedBottom)) bottomLine.set_second_point(chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom)) bottomLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom)) higherTimeframe(string timeframe) => timeframe.in_seconds() > timeframe.in_seconds(timeframe) updateTrailingExtremes() => trailing.top := math.max(high,trailing.top) trailing.lastTopTime := trailing.top == high ? time : trailing.lastTopTime trailing.bottom := math.min(low,trailing.bottom) trailing.lastBottomTime := trailing.bottom == low ? time : trailing.lastBottomTime drawHighLowSwings() => var line topLine = line.new(na, na, na, na, color = swingBearishColor, xloc = xloc.bar_time) var line bottomLine = line.new(na, na, na, na, color = swingBullishColor, xloc = xloc.bar_time) var label topLabel = label.new(na, na, color=color(na), textcolor = swingBearishColor, xloc = xloc.bar_time, style = label.style_label_down, size = size.tiny) var label bottomLabel = label.new(na, na, color=color(na), textcolor = swingBullishColor, xloc = xloc.bar_time, style = label.style_label_up, size = size.tiny) rightTimeBar = last_bar_time + 20 * (time - time ) topLine.set_first_point( chart.point.new(trailing.lastTopTime, na, trailing.top)) topLine.set_second_point( chart.point.new(rightTimeBar, na, trailing.top)) topLabel.set_point( chart.point.new(rightTimeBar, na, trailing.top)) topLabel.set_text( swingTrend.bias == BEARISH ? 'Strong High' : 'Weak High') bottomLine.set_first_point( chart.point.new(trailing.lastBottomTime, na, trailing.bottom)) bottomLine.set_second_point(chart.point.new(rightTimeBar, na, trailing.bottom)) bottomLabel.set_point( chart.point.new(rightTimeBar, na, trailing.bottom)) bottomLabel.set_text( swingTrend.bias == BULLISH ? 'Strong Low' : 'Weak Low') drawZone(float labelLevel, int labelIndex, float top, float bottom, string tag, color zoneColor, string style) => var label l_abel = label.new(na,na,text = tag, color=color(na),textcolor = zoneColor, style = style, size = size.small) var box b_ox = box.new(na,na,na,na,bgcolor = color.new(zoneColor,80),border_color = color(na), xloc = xloc.bar_time) b_ox.set_top_left_point( chart.point.new(trailing.barTime,na,top)) b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,bottom)) l_abel.set_point( chart.point.new(na,labelIndex,labelLevel)) // @function draw premium/discount zones // @returns void drawPremiumDiscountZones() => drawZone(trailing.top, math.round(0.5*(trailing.barIndex + last_bar_index)), trailing.top, 0.95*trailing.top + 0.05*trailing.bottom, 'Premium', premiumZoneColor, label.style_label_down) equilibriumLevel = math.avg(trailing.top, trailing.bottom) drawZone(equilibriumLevel, last_bar_index, 0.525*trailing.top + 0.475*trailing.bottom, 0.525*trailing.bottom + 0.475*trailing.top, 'Equilibrium', equilibriumZoneColorInput, label.style_label_left) drawZone(trailing.bottom, math.round(0.5*(trailing.barIndex + last_bar_index)), 0.95*trailing.bottom + 0.05*trailing.top, trailing.bottom, 'Discount', discountZoneColor, label.style_label_up) parsedOpen = showTrendInput ? open : na candleColor = internalTrend.bias == BULLISH ? swingBullishColor : swingBearishColor plotcandle(parsedOpen,high,low,close,color = candleColor, wickcolor = candleColor, bordercolor = candleColor) if showHighLowSwingsInput or showPremiumDiscountZonesInput updateTrailingExtremes() if showHighLowSwingsInput drawHighLowSwings() if showPremiumDiscountZonesInput drawPremiumDiscountZones() if showFairValueGapsInput deleteFairValueGaps() getCurrentStructure(swingsLengthInput,false) getCurrentStructure(5,false,true) if showEqualHighsLowsInput getCurrentStructure(equalHighsLowsLengthInput,true) if showInternalsInput or showInternalOrderBlocksInput or showTrendInput displayStructure(true) if showStructureInput or showSwingOrderBlocksInput or showHighLowSwingsInput displayStructure() if showInternalOrderBlocksInput deleteOrderBlocks(true) if showSwingOrderBlocksInput deleteOrderBlocks() if showFairValueGapsInput drawFairValueGaps() if barstate.islastconfirmedhistory or barstate.islast if showInternalOrderBlocksInput drawOrderBlocks(true) if showSwingOrderBlocksInput drawOrderBlocks() lastBarIndex := currentBarIndex currentBarIndex := bar_index newBar = currentBarIndex != lastBarIndex if barstate.islastconfirmedhistory or (barstate.isrealtime and newBar) if showDailyLevelsInput and not higherTimeframe('D') drawLevels('D',timeframe.isdaily,dailyLevelsStyleInput,dailyLevelsColorInput) if showWeeklyLevelsInput and not higherTimeframe('W') drawLevels('W',timeframe.isweekly,weeklyLevelsStyleInput,weeklyLevelsColorInput) if showMonthlyLevelsInput and not higherTimeframe('M') drawLevels('M',timeframe.ismonthly,monthlyLevelsStyleInput,monthlyLevelsColorInput) xATR = ta.atr(c) nLoss = a * xATR src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close xATRTrailingStop = 0.0 iff_1 = src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1 xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2 pos = 0 iff_3 = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? -1 : nz(pos , 0) pos := src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? 1 : iff_3 xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue ema = ta.ema(src, 1) above = ta.crossover(ema, xATRTrailingStop) below = ta.crossover(xATRTrailingStop, ema) buy = src > xATRTrailingStop and above sell = src < xATRTrailingStop and below barbuy = src > xATRTrailingStop barsell = src < xATRTrailingStop //---------------------------------------------------------------------------------------------------------------------} //ALERTS //---------------------------------------------------------------------------------------------------------------------{ alertcondition(currentAlerts.internalBullishBOS, 'Internal Bullish BOS', 'Internal Bullish BOS formed') alertcondition(currentAlerts.internalBullishCHoCH, 'Internal Bullish CHoCH', 'Internal Bullish CHoCH formed') alertcondition(currentAlerts.internalBearishBOS, 'Internal Bearish BOS', 'Internal Bearish BOS formed') alertcondition(currentAlerts.internalBearishCHoCH, 'Internal Bearish CHoCH', 'Internal Bearish CHoCH formed') alertcondition(currentAlerts.swingBullishBOS, 'Bullish BOS', 'Internal Bullish BOS formed') alertcondition(currentAlerts.swingBullishCHoCH, 'Bullish CHoCH', 'Internal Bullish CHoCH formed') alertcondition(currentAlerts.swingBearishBOS, 'Bearish BOS', 'Bearish BOS formed') alertcondition(currentAlerts.swingBearishCHoCH, 'Bearish CHoCH', 'Bearish CHoCH formed') alertcondition(currentAlerts.internalBullishOrderBlock, 'Bullish Internal OB Breakout', 'Price broke bullish internal OB') alertcondition(currentAlerts.internalBearishOrderBlock, 'Bearish Internal OB Breakout', 'Price broke bearish internal OB') alertcondition(currentAlerts.swingBullishOrderBlock, 'Bullish Swing OB Breakout', 'Price broke bullish swing OB') alertcondition(currentAlerts.swingBearishOrderBlock, 'Bearish Swing OB Breakout', 'Price broke bearish swing OB') alertcondition(currentAlerts.equalHighs, 'Equal Highs', 'Equal highs detected') alertcondition(currentAlerts.equalLows, 'Equal Lows', 'Equal lows detected') alertcondition(currentAlerts.bullishFairValueGap, 'Bullish FVG', 'Bullish FVG formed') alertcondition(currentAlerts.bearishFairValueGap, 'Bearish FVG', 'Bearish FVG formed') alertcondition(buy, 'UT Long', 'UT Long') alertcondition(sell, 'UT Short', 'UT Short') plotshape(buy, title = 'Buy', text = 'Buy', style = shape.labelup, location = location.belowbar, color = color.new(color.green, 0), textcolor = color.new(color.white, 0), size = size.tiny) plotshape(sell, title = 'Sell', text = 'Sell', style = shape.labeldown, location = location.abovebar, color = color.new(color.red, 0), textcolor = color.new(color.white, 0), size = size.tiny) //-------------------------------------------------------------------------------------- // EMA ADDITIONS (Editable) //-------------------------------------------------------------------------------------- ema5Len = input.int(5, "5 EMA Length", minval = 1) ema9Len = input.int(9, "9 EMA Length", minval = 1) ema5 = ta.ema(src, ema5Len) ema9 = ta.ema(src, ema9Len) plot(ema5, "EMA 5", color = color.red, linewidth = 2) plot(ema9, "EMA 9", color = color.blue, linewidth = 2) barcolor(barbuy ? color.green : na) barcolor(barsell ? color.red : na)
Indikator Pine Script®
oleh naveenprabhu636
Nick_OS RangesUNDERSTANDING THE SCRIPT: TIMEFRAME RESOLUTION: * You have the option to choose Daily , Weekly , or Monthly LOOKBACK WINDOW: * This number represents how far back you want the data to pull from - Example: "250" would represent the past 250 Days, Weeks, or Months depending on what is selected in the Timeframe Resolution RANGE 1 nth (Gray lines): * This number represents the range of the nth biggest day, week, or month in the Lookback Window - Example: "30" would represent the range of the 30th biggest day in the past 250 days. (If the Lookback Window is "250") RANGE 2 nth (Blue lines): * This number represents the range of the nth biggest day, week, or month in the Lookback Window - Example: "10" would represent the range of the 10th biggest day in the past 250 days. (If the Lookback Window is "250") RANGE 3 nth (Pink lines): * This number represents the range of the nth biggest day, week, or month in the Lookback Window - Example: "3" would represent the range of the 3rd biggest day in the past 250 days. (If the Lookback Window is "250") YELLOW LINES: * The yellow lines are the average percentage move of the inputted number in the Lookback Window SUGGESTED INPUTS: FOR DAILY: Lookback Window: 250 Range 1 nth: 30 Range 2 nth: 10 Range 3 nth: 3 FOR WEEKLY: Lookback Window: 50 Range 1 nth: 10 Range 2 nth: 5 Range 3 nth: 2 FOR MONTHLY: Lookback Window: 12 Range 1 nth: 3 Range 2 nth: 2 Range 3 nth: 1 TIMEFRAMES TO USE (If You Have TradingView Premium): Daily: 5 minute timeframe and higher (15 minute timeframe and higher for Futures) Weekly: 15 minute timeframe and higher Monthly: Daily timeframe and higher (Monthly still has issues) TIMEFRAMES TO USE (If You DO NOT Have TradingView Premium): Daily: 15 minute timeframe and higher Weekly: 30 minute timeframe and higher Monthly: Daily timeframe and higher (Monthly still has issues) IMPORTANT RELATED NOTE: If you decide to use a higher Lookback Window, the ranges might be off and the timeframes listed above might not apply ISSUES THAT MIGHT BE RESOLVED IN THE FUTURE 1. If it is a shortened week (No Monday or Friday), then the Weekly Ranges will show the same ranges as last week 2. Monthly ranges will change based on any timeframe used
Indikator Pine Script®
oleh NickMaterazzo