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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.
Penunjuk 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
Penunjuk 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.
Penunjuk Pine Script®
oleh danilogalisteu
1
Global Macro IndexGlobal Macro Index The Global Macro Index is a comprehensive economic sentiment indicator that aggregates 23 real-time macroeconomic data points from the world's largest economies (US, EU, China, Japan, Taiwan). It provides a single normalized score that reflects the overall health and momentum of the global economy, helping traders identify macro trends that drive asset prices. ⚠️ Important: Timeframe Settings This indicator is designed exclusively for the 1W (weekly) timeframe. The indicator is hardcoded to pull weekly data and will not function correctly on other timeframes. What It Measures The indicator tracks normalized Trend Power Index (TPI) values across multiple economic categories: United States (7 components) Business Confidence Index (BCOI) - Business sentiment and outlook Composite Leading Indicator (CLI) - Forward-looking economic indicators Consumer Confidence Index (CCI) - Consumer sentiment and spending intentions Terms of Trade (TOT) - Import/export price relationships Manufacturing Composite - Combines business confidence, production, and new orders Comprehensive Economic Composite - Broad aggregation including employment, business activity, and regional indicators Business Inventory (BI) - Stock levels and supply chain health European Union (10 components) Sentiment Survey (SS) - Overall economic sentiment Business Confidence Index - EU business outlook Economic Sentiment Indicator (ESI) - Combined confidence metrics Manufacturing Production (MPRYY) - Industrial output year-over-year New Orders - Germany, France, Netherlands, Spain manufacturing orders Composite Leading Indicators - Germany, France forward-looking metrics Business Climate Index (BCLI) - France business conditions Asia (6 components) New Orders - China, Japan, Taiwan manufacturing demand Composite Leading Indicators - China, Japan economic momentum The Formula The indicator calculates a weighted average of normalized TPI scores: Global Macro Index = (1/23) × Σ Each of the 23 economic indicators is: Converted to a Trend Power Index (TPI) using 4-day Bitcoin normalization Weighted equally (1/23 ≈ 4.35% each) Summed and smoothed with a 1-period SMA The result is a single oscillator that ranges typically between -1 and +1, with extreme readings beyond ±0.6. Z-Score Signal System The indicator includes an optional Z-Score overlay that identifies extreme macro conditions: Calculation: Z-Score = (Current Value - 50-period Mean) / Standard Deviation Smoothed with 35-period Hull Moving Average Inverted for intuitive interpretation Signals: Green background (Z-Score ≥ 2) = Extremely positive macro conditions, potential overbought Red background (Z-Score ≤ -2) = Extremely negative macro conditions, potential oversold These extreme readings occur approximately 5% of the time statistically How to Use It Interpreting the Main Plot (Red Line): Above 0 = Positive macro momentum, risk-on environment Below 0 = Negative macro momentum, risk-off environment Above +0.6 = Strong expansion, bullish for equities and crypto Below -0.6 = Severe contraction, bearish conditions Trend direction = More important than absolute level Z-Score Signals: Z ≥ 2 (Green) = Macro sentiment extremely positive, consider taking profits or preparing for pullback Z ≤ -2 (Red) = Macro sentiment extremely negative, potential buying opportunity for contrarians Works best as a regime filter, not precise timing tool Best Practices: Use as a macro regime filter for other strategies Combines well with liquidity indicators and price action Leading indicator for risk assets (equities, Bitcoin, emerging markets) Lagging indicator - confirms macro trends rather than predicting reversals Watch for divergences: price making new highs while macro weakens (bearish) or vice versa (bullish) Settings Show Zscore Signals: Toggle green/red background shading for extreme readings Overlay Zscore Signals: Display Z-Score signals on the price chart as well as the indicator panel Reference Lines 0 (gray) = Neutral macro conditions +0.6 (green) = Strong positive threshold -0.6 (red) = Strong negative threshold Data Sources Real-time economic data from TradingView's ECONOMICS database, including: OECD leading indicators Manufacturing PMIs and new orders Consumer and business confidence surveys Trade and inventory metrics Regional economic sentiment indices Notes This is a macro trend indicator, not a day-trading tool. Economic data updates weekly and reflects the aggregate health of global growth. Best used on weekly timeframes to identify favorable or unfavorable macro regimes for risk asset allocation. The indicator distills complex global economic data into a single actionable score, answering: "Is the global economy expanding or contracting right now?"
Penunjuk Pine Script®
oleh Unicorpus
Liquidity LayoutLiquidity Layout The Liquidity Layout is a comprehensive macroeconomic indicator that tracks global liquidity conditions by aggregating multiple financial data streams from major economies (US, EU, China, Japan, UK, Canada, Switzerland). It provides traders with a macro view of market liquidity to help identify favorable conditions for risk assets ⚠️ Important: Timeframe Settings This indicator is designed for the 1W (weekly) timeframe. If you use other timeframes, you must adjust the offset parameter in the settings to properly align the data with price action. The default offset of 12 is calibrated for weekly charts. What It Measures This indicator combines seven key components of global liquidity: 1. Global M2 Money Supply - Tracks broad money supply (M2) plus 10% of narrow money supply (M1) across major economies, weighted by currency strength. This represents the total amount of money circulating in the private sector. 2. Central Bank Balance Sheets (CBBS) - Monitors the combined balance sheets of major central banks (Fed, ECB, BoJ, PBoC, etc.), reflecting quantitative easing and monetary expansion policies. 3. Foreign Exchange Reserves (FER) - Aggregates forex reserves held by central banks, indicating international liquidity buffers and capital flows. 4. Current Account + Capital Flows (CA) - Combines current account balances with capital flows to measure cross-border money movement and trade liquidity. 5. Government Spending (GSP) - Tracks government expenditure minus a portion of federal expenses, representing fiscal stimulus and public sector liquidity injection. 6. World Currency Unit (WCU) - A custom forex composite that weights major and emerging market currencies to capture global currency strength dynamics. 7. Bond Market Conditions - Analyzes yield curves, spreads, and bond indices to assess credit conditions and risk appetite in fixed income markets. The Formula The indicator uses two main calculation modes: ADJ Global Liquidity (Default): × This multiplies liquidity components by currency and bond market factors to capture the interactive effects between monetary conditions and market sentiment. TPI (Trend Power Index) Mode: A normalized version that combines all components with optimized weights: Global Liquidity Index: 10% Bonds: 17.5% Bond Yields: 25% Currency Strength: 25% Government Spending: 5% Current Account: 5% M2: 2.5% Central Bank Balance Sheets: 2.5% Forex Reserves: 5% Oil (macro risk indicator): 2.5% How to Use It Visualization Modes: Background Mode (default): Orange background appears when TPI is positive (favorable liquidity conditions) Line Mode: Displays the indicator as an orange line with customizable offset Interpreting the Signal: Positive/Rising = Expanding liquidity, generally bullish for risk assets Negative/Falling = Contracting liquidity, risk-off environment TPI > 1 = Extremely favorable conditions (upper threshold) TPI < -1 = Severe liquidity stress (lower threshold) Best Practices: Use on higher timeframes (daily, weekly) for macro trend analysis Combine with price action - liquidity often leads market moves by weeks or months Watch for divergences between liquidity and asset prices Particularly relevant for Bitcoin, equities, and risk assets Data Sources The indicator pulls real-time economic data from TradingView's ECONOMICS database and major market indices, including central bank statistics, government reports, and forex rates across G7 and major emerging markets. Settings Data Plot: Choose which liquidity component to display Plot Type: Switch between raw Index values or normalized TPI Offset: Shift the plot forward/backward for alignment (default: 12 for weekly charts) Style: Background shading or line plot Notes This is a macro-level indicator best suited for understanding the broader liquidity environment rather than short-term trading signals. It helps answer the question: "Is the global financial system expanding or contracting liquidity?"
Penunjuk Pine Script®
oleh Unicorpus
Bitcoin Buy-the-Dip + Bottom (Auto TF Swtich)This indicator is designed for friends who wish to invest in Bitcoin but are neither familiar with trading nor have the time/energy to learn it, helping them buy Bitcoin at the right timing. It is intended only for daily , weekly , and monthly charts, and should be used as follows: - In a bull market cycle: When Bitcoin’s price falls below the Dip line , allocate 25% of your position to buy Bitcoin. - When the daily chart forms a clear lower low, it signals the transition from a bull market to a bear market. - In a bear market cycle: When Bitcoin’s price drops below the Bottom line , consider deploying a large position to accumulate Bitcoin. Wishing you all financial freedom—and To The Moon! 🚀
Penunjuk Pine Script®
oleh juanaurich
CVD – Visible Range Candles & Line (Cumulative Delta Volume)Disclaimer: This indicator is provided for informational and educational purposes only. It does not constitute investment advice, trading advice, or a recommendation to buy or sell any financial instrument. The author assumes no liability for any losses, damages, or errors arising from use or misuse of this script. Please test thoroughly and use at your own risk. ________________________________________________________________________________ Purpose This indicator provides a fast and clear visualization of Cumulative Delta Volume (CVD) for the currently visible chart range in TradingView. It helps traders identify buy/sell volume pressure and market sentiment over any custom timeframe, with full control over reset intervals and chart style. Key Features CVD by Visible Bars: Dynamically calculates CVD only for bars currently visible on the chart, so scrolling and zooming always rescale the line and candles to your view. Style Selection: Choose line or candlestick display. Candles include both standard OHLC and optional Heikin Ashi smoothing. Automatic Resets: Restart CVD accumulation at the beginning of every day, week, month, or quarter. Choose ‘None’ for ongoing accumulation. Fully Custom Colors: Line color, candle body, wick, border – all optimized for clarity and customizable via the indicator’s Style tab. Autoscale Support: Always fits your timeframe. No need to adjust scale manually. Zero-Level Reference: Includes a horizontal zero line for quick reversal detection. Input Parameters Style: "Line" or "Candles" – controls visual type Heikin Ashi candles: Enable smoothing for candle view Show Line: Toggle CVD line visibility Reset CVD: Options: None, Daily, Weekly, Monthly, Quarterly How To Use Add the indicator to your TradingView chart. Select your preferred visual style (Line or Candles). Choose reset frequency based on your trading timeframe. Customize colors in the Style tab (line, candle up/down, wick, border). Scroll or zoom on the chart – the indicator’s range always fits the currently visible bars. Typical Use Cases Intraday traders tracking open/close session volume delta Swing traders identifying quarterly or monthly market accumulations Visualizing buy/sell pressure divergence at reversal points Comparing volume sentiment across flexible chart intervals Formula Delta calculation: Delta=volume×(sign(close−open)) Accumulation: Resets at user-chosen intervals, CVD plotted for only visible bars Author Created by Ronen Cohen
Penunjuk Pine Script®
oleh ronenc775
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.
Penunjuk Pine Script®
oleh MA_PT
25