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FX 2Y Spread AutoWhat it does Plots the 2-year government bond yield spread for the current FX pair and timeframe youโ€™re viewing. Spread = Yield(Base currency) โˆ’ Yield(Quote currency), shown in percentage points (pp). How it works Display & own scale If you overlay it on price, pin the indicator to its own scale so it doesnโ€™t flatten against the FX price scale. Where to find it: Hover the indicatorโ€™s label, click More (โ‹ฏ) โ†’ Pin to scale โ†’ choose Left or Right. Automatically maps each currency to its 2Y benchmark: USDโ†’US02Y, EURโ†’DE02Y, CADโ†’CA02Y, CHFโ†’CH02Y, GBPโ†’GB02Y, AUDโ†’AU02Y, NZDโ†’NZ02Y, JPYโ†’JP02Y (EUR is represented by Germanyโ€™s 2Y Schatz: DE02Y.) Pulls yields from TVC: symbols (e.g., TVC:US02Y, TVC:DE02Y) using the chartโ€™s timeframe. Many yield series are daily; on intraday charts the script forward-fills the last daily value so you always see a continuous line. Interpretation (rule of thumb) Spread โ†‘ (Base yields rising relative to Quote) โ†’ supports pair up (base currency appreciation). Spread โ†“ โ†’ supports pair down. Short-end spreads (2Y) mainly reflect policy expectations; price can still diverge short-term due to risk sentiment, commodities (e.g., oil for CAD), positioning, or different maturities driving the move. Examples EURUSD โ†’ DE02Y โˆ’ US02Y USDJPY โ†’ US02Y โˆ’ JP02Y EURCAD โ†’ DE02Y โˆ’ CA02Y โš ๏ธ Disclaimer This indicator is for informational and analytical purposes only. It does not constitute financial advice, a trading signal, or a guarantee of future performance. Always perform your own research and consult with a qualified financial advisor before making trading decisions.
Pine Scriptยฎ indicator
by MacroXTrader
Beta Zones [MMT]Beta Zones Overview The Beta Zones indicator is a multi-timeframe analysis tool designed to identify and visualize price ranges (zones) across different timeframes on a TradingView chart. It draws boxes to represent high and low price levels for each enabled timeframe, helping traders spot key support and resistance zones, track price movements, and assess market signals relative to these zones. The indicator is highly customizable, allowing users to toggle timeframes, adjust colors, and control historical visibility. Features Multi-Timeframe Support : Tracks up to five user-defined timeframes (default: 15m, 1H, 4H, 1D, 1W) to display price zones. Dynamic Price Boxes : Draws boxes on the chart to represent the high and low prices for each timeframe, updating dynamically as new bars form. Signal Indicators : Provides directional signals (โ–ฒ, โ–ผ, โ†’) based on the previous close relative to the current box's top and bottom. Customizable Display : Includes options to show or hide historical boxes, adjust box colors, and configure a summary table. Summary Table : Displays a table with timeframe status, price range, and signal information for quick reference. Settings Timeframes Enable/Disable : Toggle each timeframe (e.g., 15m, 1H, 4H, 1D, 1W) to display or hide its respective zones. Timeframe Selection : Choose custom timeframes for each of the five slots. Color Customization : Set unique fill and border colors for each timeframe's boxes (default colors: green, blue, orange, purple, red). Display Max Historical Boxes : Limit the number of historical boxes per timeframe (default: 1, max: 50). Show History : Toggle visibility of historical boxes (default: false, showing only the latest box). Min Box Height : Ensures boxes have a minimum height in ticks (default: 1.0, currently hardcoded). Table Show Table : Enable or disable the summary table (default: true). Background Color : Customize the table's background color. Header Color : Set the color for the table's header row. Text Color : Adjust the text color for table content. Table Columns Timeframe : Displays the selected timeframe (e.g., 15m, 1H). Color : Shows the color associated with the timeframe's boxes. Status : Indicates if the timeframe is "Active" (valid and lower than the chart's timeframe), "Invalid" (enabled but not lower), or "Disabled". Range : Shows the price range (high - low) of the current box. Signal : Displays โ–ฒ (price above box), โ–ผ (price below box), or โ†’ (price within box) based on the previous close. How to Use Add to Chart : Apply the indicator to your TradingView chart. Configure Timeframes : Enable desired timeframes and adjust their settings (e.g., 15m, 1H) to match your trading strategy. Analyze Zones : Use the boxes to identify key price levels for support, resistance, or breakout opportunities. Monitor Signals : Check the table's "Signal" column to gauge price direction relative to each timeframe's zone. Customize Appearance : Adjust colors and historical box visibility to suit your preferences. Ideal For Swing Traders : Identify key price zones across multiple timeframes for entry/exit points. Day Traders : Monitor short-term price movements relative to higher timeframe zones. Technical Analysts : Combine with other indicators to confirm support/resistance levels.
Pine Scriptยฎ indicator
by isthattyler
3
Liquidity Sweep Breakout - LSBLiquidity Sweep Breakout - LSB A professional session-based breakout system designed for OANDA:USDJPY and other JPY pairs. Not guesswork, but precision - built on detailed observation of institutional moves to capture clear trade direction daily. Master the Marketโ€™s Daily Bank Flow. --- Strategy Detail: I discovered this strategy after carefully studying how Japanese banks influence the forex market during their daily settlement period. Banks are some of the biggest players in the financial world, and when they adjust or settle their accounts in the morning, it often creates a push in the market. From years of observation, I noticed a consistent pattern, once banks finish their settlements, the market usually continues moving in the same direction that was formed right after those actions. This daily banking flow often sets the tone for the entire trading session, especially for JPY pairs like USDJPY. To capture this move, I built the indicator so that it follows the bank-driven trend with clear rules for entries, stop-loss (SL), and take-profit (TP). The system is designed with professional risk management in mind. By default, it assumes a $10,000 account size, risks only 1% of that balance per trade, and targets a 1:1.5 reward-to-risk ratio. This means for every $100 risked, the potential profit is $150. Such controlled risk makes the system safer and more sustainable for long-term traders. At the same time, users are not limited to this setup, they can adjust the account balance in the settings, and the indicator will automatically recalculate the lot size and risk levels based on their own capital. This ensures the strategy works for small accounts and larger accounts alike. ๐ŸŒ Why It Works Fundamentally driven: Based on **daily Japanese banking settlement flows**. Session-specific precision: Targets the exact window when USDJPY liquidity reshapes. Risk-managed: Always calculates lot size based on account and risk preferences. Automatable: With webhook + MT5 EA, it can be fully hands-free. --- โœ… Recommended Pair: USDJPY (best observed behavior). Timeframe: 3-Minute chart. Platform: TradingView Premium (for webhooks). Execution: MT5 via EA. --- ๐Ÿ”Ž Strategy Concept The Tokyo Magic Breakout (TMB) is built on years of session observation and the unique daily rhythm of the Japanese banking system. Every morning between 5:50 AM โ€“ 6:10 AM PKT (09:50 โ€“ 10:10 JST), Japanese banks perform daily reconciliation and settlement. This often sets the tone for the USDJPY direction of the day. This strategy isolates that critical moment of liquidity adjustment and waits for a clean breakout confirmation. Instead of chasing noise, it executes only when price action is aligned with the Tokyo marketโ€™s hidden flows. --- ๐Ÿ•’ Timing Logic Session Start: 5:00 AM PKT (Tokyo market open range). Magic Candle: The 5:54 AM PKT candle is marked as the reference โ€œbreakout selector.โ€ Checkpoints: First confirmation at 6:30 AM PKT, then every 15 minutes until 8:30 AM PKT. * If price stays inside the magic range โ†’ wait. * If a breakout happens but the candle wick touches the range โ†’ wait for the next checkpoint. * If by 8:30 AM PKT no clean breakout occurs โ†’ the day is marked as No Trade Day (NTD). ๐Ÿ‘‰ Recommended timeframe: 3-Minute chart (3M) for precise signals. --- ๐Ÿ“ˆ Trade Execution Entry: Clean break above/below the magic candleโ€™s range. Stop-Loss: Opposite side of the Tokyo session high/low. Take-Profit: Calculated by Reward\:Risk ratio (default 1.5:1). Lot Size: Auto-calculated based on your risk model: * Fixed Dollar * % of Equity * Conservative (minimum of both). Visuals include: โœ… Entry/SL/TP lines โœ… Shaded risk (red) and reward (green) zones โœ… Trade labels (Buy/Sell with lot size & levels) โœ… TP/SL hit markers --- ๐Ÿ”” Alerts & Automation (AutoTMB) This strategy is fully automation-ready with EA + MT5: 1. Enable alerts in TMB settings. 2. Insert your PineConnector License Key. 3. Configure your risk management preferences. 4. Create a TradingView alert โ†’ in the message box simply type: Pine Scriptยฎ {{alert_message}} and set the EA webhook. Now, every breakout trade (with exact entry, SL, TP, and lot size) is sent instantly. ๐Ÿ‘‰ On your MT5: * Install the EA. * Use the same license key. * Run it on a VPS or local MT5 terminal. You now have a hands-free trading system: AutoTMB.
Pine Scriptยฎ strategy
by humayunmha
4
Economic Profit (Fixed & Labeled) โ€” Rated + PeersFRAC (Fundamental-Rated-Asset-Calculate) FRAC is a fundamentals-driven tool designed to measure whether a company is creating or destroying shareholder value. Unlike surface ratios, FRAC uses Economic Profit (ROIC โ€“ WACC) as its engine, showing whether a business truly outperforms its cost of capital. ๐Ÿ”น What FRAC Does Calculates ROIC (Return on Invested Capital) vs. WACC (Weighted Average Cost of Capital). Shows whether a company is creating or destroying shareholder value. Uses tiered color coding for clarity: ๐Ÿ”ต Superior (Aqua Blue) โ†’ Top tier; best of the best. ๐ŸŸฃ Elite (Purple) โ†’ Strong value creation. ๐ŸŸข Positive (Green) โ†’ Solid, creating shareholder value. ๐ŸŸก Marginal (Yellow) โ†’ Barely covering cost of capital. ๐Ÿ”ด Negative (Red) โ†’ Value destruction. ๐Ÿ”น Composite Ranking System (1โ€“4) FRAC also assigns each company a Composite Rank so you can compare multiple names side by side. The rank works like this: Rank 1 โ†’ Superior (๐Ÿ”ต Aqua Blue) Best possible rating; wide gap between ROIC and WACC. Rank 2 โ†’ Elite (๐ŸŸฃ Purple) Strongly positive; above-average capital efficiency. Rank 3 โ†’ Positive (๐ŸŸข Green) Creating value but only moderately; not a top compounder. Rank 4 โ†’ Marginal/Negative (๐ŸŸก/๐Ÿ”ด) Weak or destructive; either barely covering WACC or losing money on capital. โœ… How to Use the Ranks When comparing a set of peers (e.g., NVDA, AMD, INTC): FRAC will display each companyโ€™s color rating + composite rank (1โ€“4). You can instantly see who is strongest vs. weakest in the group. Best decisions = overweight Rank 1 & 2 companies, avoid Rank 4 names. ๐Ÿ”น Key Inputs Explained Risk-Free Asset โ†’ Typically the 10-Year US Treasury yield (US10Y). Corporate Tax Rate โ†’ Effective tax rate for the companyโ€™s country (e.g., USCTR). Expected Market Return โ†’ Historical average ~8โ€“10%, adjustable. Beta Lookback Period โ†’ Controls how far back Beta is calculated (longer = more stable, shorter = more reactive). ๐Ÿ‘‰ These must be set correctly for FRAC to calculate WACC accurately. ๐Ÿ”น Example Comparison NVDA: ROIC 25% โ€“ WACC 7% = +18% โ†’ ๐Ÿ”ต Superior โ†’ Rank 1 AMD: ROIC 17% โ€“ WACC 8% = +9% โ†’ ๐ŸŸฃ Elite โ†’ Rank 2 INTC: ROIC 11% โ€“ WACC 9% = +2% โ†’ ๐ŸŸข Positive โ†’ Rank 3 FSLY: ROIC 5% โ€“ WACC 10% = โ€“5% โ†’ ๐Ÿ”ด Negative โ†’ Rank 4 ๐Ÿ”น Why It Matters Buffett said: โ€œThe best businesses are those that can consistently generate returns on capital above their cost of capital.โ€ FRAC turns that into a visual + numeric rating system (1โ€“4), making comparisons across peers simple and actionable. ๐Ÿ”น Credit FRAC was created by Hunter Hammond (Elite x FineFir), inspired by corporate finance models of Economic Profit and Economic Value Added (EVA). โš ๏ธ Disclaimer: FRAC is a research framework, not financial advice. Always pair with full due diligence.
Pine Scriptยฎ indicator
by ElitexFineFir
Fundamental Strategy - anuragmundraFundamental Score Based Backtest This strategy combines fundamental analysis with automated backtesting to help identify long-term investment opportunities. Instead of relying only on price action or technical indicators, it evaluates the financial health of a company and generates simulated BUY/SELL signals accordingly. ๐Ÿ”‘ Key Parameters Considered: Price-to-Earnings (P/E Ratio): Ensures the stock is not overpriced. Return on Equity (ROE): Indicates efficiency of management and business profitability. Debt-to-Equity Ratio (D/E): Evaluates leverage and financial risk. Revenue Growth (YoY): Shows business expansion and demand. EPS Growth: Reflects consistent profit generation for shareholders. Sales Growth: Confirms topline improvement. Profit Growth: Measures bottom-line strength. โœ… Buy Condition When the fundamental score โ‰ฅ 70/100, the strategy enters a long position. Score is based on meeting/exceeding thresholds for P/E, ROE, Revenue Growth, EPS Growth, Sales Growth, Profit Growth, and Debt-to-Equity. โŒ Sell/Exit Condition When the score falls below 70, the position is closed. โšก How to Use Designed for medium to long-term investors who prefer fundamentally strong companies. Can be run in the Strategy Tester to evaluate the historical performance of any stock. Suitable as a stock-picking filter rather than a short-term trading system. ๐Ÿ“Š Notes Some ratios (like ROE) are based on annual values (FY), while others (EPS, Revenue, Net Income) use TTM for recency. Not all symbols/exchanges provide full fundamental data. If data is missing, some metrics may show as N/A. โš ๏ธ Disclaimer: This is an educational tool for research and backtesting only. It is not financial advice. Always combine with your own due diligence before making investment decisions.
Pine Scriptยฎ strategy
by anuragmundra
A best Seasonality Monthly IndicatorSeasonality Monthly is a custom indicator designed for TradingView that calculates and displays monthly seasonality performance as a table overlay on the chart. Key aspects and functionality: It requires the timeframe to be either monthly or daily; otherwise, it throws an error. The user can set the starting year (default 2015) from which the seasonality statistics begin. It collects monthly percentage change data (close to close returns) for each month and year dynamically using request.security. Data is stored in a two-dimensional matrix representing years by months, accumulating returns for each month over the years. The table is drawn on the chart showing monthly returns for each year, with cells colored green for positive returns and red for negatives. The bottom rows of the table show summary statistics per month: AVG: Average monthly returns SUM: Sum of returns +ive: Count of months with positive returns over total counts WR: Win rate (ratio of positive months) Text sizes and colors are customizable via inputs. Uses Pine Script v5 features like matrix, table API, and new runtime error handling. This script is useful for visualizing historical monthly seasonality patterns for any symbol on TradingView. ------------------ The Seasonality Monthly Pine Script indicator is a powerful tool designed for TradingView that enables traders to analyze and visualize the historical seasonal performance of an asset on a monthly basis. This script focuses on identifying recurring monthly patterns by accumulating monthly percentage returns over multiple years, providing insights that help traders understand when certain months tend to perform better or worse historically. The script requires the chart to be set to either a daily or monthly timeframe to ensure accurate calculations and data retrieval. It uses the request. security function to fetch monthly data, extracting each bar's year, month, and monthly price change percent based on close-to-close returns. These returns are then accumulated into a matrix data structure, organizing the percentage changes for each year and month to build a comprehensive historical dataset. A dynamic table is constructed and displayed on the chart, showing a detailed breakdown of percentage changes each month for every year starting from a customizable start year (default is 2015). Each cell in the table is color-codedโ€”green for positive monthly returns and red for negativeโ€”making it visually easy to interpret seasonal trends. This immediate visual feedback is valuable for traders looking to identify strong or weak months historically. Beyond just the yearly data, the script calculates aggregate statistics for each month, which are displayed in summary rows at the bottom of the table. These include the average monthly return, the sum of returns, the count of positive-return months versus total months ("+ive"), and the win rate (WR), which is the proportion of positive months over the total number of months observed. These statistics assist traders in quantifying the strength and consistency of monthly seasonal effects. The script also includes user customization options such as the starting year for seasonality analysis and adjustable text size for better readability. It incorporates modern Pine Script v5 features like runtime error handling, matrix operations, and the enhanced table API for efficient and clear display. Overall, This is a practical indicator that helps traders incorporate seasonality insights into their decision-making process, potentially improving timing entries and exits by leveraging historical monthly market behaviors. It is particularly useful for spotting cyclic tendencies and planning strategies around historically strong or weak months, adding a valuable dimension to technical analysis. ---------------------------------------------- #Seasonality #TradingView #PineScript #TechnicalAnalysis #StockMarket #MonthlyPerformance #SeasonalTrends #MarketAnalysis #TradingStrategy #PricePatterns #Charting #DataVisualization #AlgorithmicTrading #FinancialMarkets #TradingIndicators #InvestmentStrategy #QuantitativeAnalysis #MarketSeasonality #StockTrading #TradingTools
Pine Scriptยฎ indicator
by appzandgame
1
US Liquidity-Weighted Business Cycle๐Ÿ“ˆ BTC Liquidity-Weighted Business Cycle This indicator models the Bitcoin macro cycle by comparing its logarithmic price against a log-transformed liquidity proxy (e.g., US M2 Money Supply). It helps visualize cyclical tops and bottoms by measuring the relative expansion of Bitcoin price versus fiat liquidity. ๐Ÿง  How It Works: Transforms both BTC and M2 using natural logarithms. Computes a liquidity ratio: log(BTC) โ€“ log(M2) (i.e., log(BTC/M2)). Runs MACD on this ratio to extract business cycle momentum. Plots: ๐Ÿ”ด Histogram bars showing cyclical growth or contraction. ๐ŸŸข Top line to track the relative price-to-liquidity trend. ๐Ÿ”ด Cycle peak markers to flag historical market tops. โš™๏ธ Inputs: Adjustable MACD lengths Toggle for liquidity trend line overlay ๐Ÿ” Use Cases: Identifying macro cycle tops and bottoms Timing long-term Bitcoin accumulation or de-risking Confirming global liquidity's influence on BTC price movement Note: This version currently uses US M2 (FRED:M2SL) as the liquidity base. You can easily expand it with other global M2 sources or adjust the weights.
Pine Scriptยฎ indicator
by TheGoldphoenix
NQ FVG + MSS ChecklistThe NQ FVG + MSS Quick Checklist is a visual trading HUD for Nasdaq 100 (NQ) futures. It helps traders quickly track key setup elements: session & previous day levels, 5M FVG, retests, 1M MSS, and 1M FVG inside MSS. Each step can be manually ticked, and a Trade Score shows setup strength at a glance. The checklist table sits on top of all chart elements for easy reference without interfering with your analysis. Features: Step-by-step NQ trading checklist Manual inputs with visual โœ…/โŒ Trade Score for quick setup confirmation Table overlay always on top of the chart
Pine Scriptยฎ indicator
by FXNotes
2
Credit Spread Alpha SignalCredit Spread Alpha Signal: Complete Description Introduction and Purpose The Credit Spread Alpha Signal is a custom indicator developed for TradingView, designed to monitor the credit spread between High Yield (HY) bond yields and the 10-Year US Treasury yield (US10Y). This indicator serves as an advanced macroeconomic tool for traders and investors, helping to identify shifts in risk sentiment, monetary policy adjustments, or financial stress in the economy. It combines credit market data with statistical analysis to generate inverted buy and sell signals, where wider spreads (deteriorated conditions) are seen as buy opportunities (green), and tight spreads (risk-on) as sell opportunities (red). The script is original, inspired by macroeconomic concepts, and visualizes data intuitively with histograms, background colors, and signal arrows. It is particularly useful for portfolio traders seeking confirmation signals or early warnings, integrating seamlessly into charts of stocks, bonds, or crypto assets. Key Concepts - HY Spread : Calculated as the difference between the High Yield Corporate Effective Yield (symbol: BAMLH0A0HYM2EY) and the US10Y Yield. Wider spreads indicate higher credit risk and economic deterioration (buy opportunity in the inverted logic). Tight spreads reflect market optimism (risk-on, sell opportunity). - Inverted Signal Logic : Unlike traditional interpretation, here widening spreads (stress) trigger green and buy arrows (โ†‘ below the chart), suggesting entry into long positions during panics. Compressing spreads trigger red and sell arrows (โ†“ above the chart), indicating exit during optimism peaks. - Visual Highlights : Green for spread > +2.2ฯƒ (financial stress, buy); Red for spread < low threshold (risk-on, sell); Optional orange for recession risk (inverted curve + high spread, strong buy). The indicator uses statistics like simple moving average (SMA) and standard deviation for dynamic thresholds, making it adaptable to different market periods. How It Works: Internal Calculations 1. Data Sources : Uses `request.security` to fetch daily data ("D") from US10Y, US02Y (for inverted curve), and HY Yield. 2. Spread Calculation : `spread_hy = hy_yield - us10y`. 3. Statistics : - Average (SMA) of the spread over the last `sma_length` days (default: 120). - Standard deviation (stdev) over the same period. - High threshold: `avg_spread_hy + std_mult * std_spread_hy` (default: multiplier 2.2). - Low threshold: Editable value (default: 1.5%). 4. Conditions : - High stress (green/buy): `spread_hy > high_threshold`. - Compression (red/sell): `spread_hy < low_threshold`. - Recession risk (orange/strong buy, optional): Inverted curve (`us10y < us2y`) + spread > `recession_spread_threshold`. 5. Crossings for Signals : - Buy (green โ†‘ below): Crossover above high threshold (`ta.crossover`). - Sell (red โ†“ above): Crossunder below low threshold (`ta.crossunder`). These calculations are processed bar by bar, ensuring real-time updates. Visual Elements - Histogram : Plots the spread as columns (`plot.style_columns`), dynamically colored: Light green (90% transparency) for stress/buy; Light red (90%) for compression/sell; Gray for neutral; Orange for recession. - Reference Line : Horizontal red line at zero for benchmark. - Background Coloring : Applies color to the main chart (overlay=true via force_overlay): Light green for buy, Light red for sell, Orange for recession, no color for neutral. - Signal Arrows : โ†‘ Green below the bar for buy (widening_cross); โ†“ Red above the bar for sell (compressed_cross). - Floating Legend : Label in the lower panel explaining thresholds and conditions, dynamically updated with editable values. Editable Settings (Inputs) - SMA Period (days) : Default 120; adjusts the horizon for average and standard deviation. - Standard Deviation Multiplier : Default 2.2; sets sensitivity of the high threshold (e.g., 2.2ฯƒ for moderate alerts). - Low Threshold for Compression (%) : Default 1.5; level to detect risk-on/sell. - Enable Recession Risk? : Default false; activates combined condition of inverted curve + high spread. - Spread Threshold for Recession (%) : Default 2.0; level for recession (visible if enabled). These inputs allow customization via the TradingView interface, without editing the code. Integrated Alerts The indicator includes alert conditions (`alertcondition`) for notifications in TradingView: - "ALERT: HY Spread High": Spread exceeds threshold - financial stress (Buy). - "ALERT: HY Spread Compressed": Spread compressed - risk-on conditions (Sell). - "ALERT: HY Spread Widening (Buy)": Crossover above - buy opportunity in stress. - "ALERT: HY Spread Compressed (Sell)": Crossunder below - sell opportunity in risk-on. - "ALERT: Recession Risk (Strong Buy)": Inverted curve + high spread - high recession risk, consider buy (if enabled). Set up alerts for email, SMS, or webhook notifications. Usage Tips and Considerations - Recommended Timeframe : Daily ("D"), but works on others; data is forced to daily for consistency. - Practical Application : Add to charts of indices like SPY or QQQ to correlate with market moves. Test on historical periods (e.g., 2020 for widening, 2021 for compressing) to validate signals. - Limitations : Relies on external data (US10Y, HY Yield), which may have delays; spreads are typically positive. Not financial advice โ€“ use with complementary analysis. - Advanced Customization : Adjust thresholds for volatile markets; enable recession for more robust macro signals. This indicator transforms credit data into actionable alpha, helping navigate economic cycles with visual precision. For support or modifications, refer to the source code or TradingView community.
Pine Scriptยฎ indicator
by hernandesnogueira
EMA Vision โ€“ MTF InsightEMA Calculation Timeframe: Compute the EMA on any timeframe (e.g. Chart, 1H, 4H, 1D) while viewing on your chartโ€™s timeframe. Confirmed or โ€œDevelopingโ€ EMA: Choose between plotting EMA values only after the higher timeframe bar closes (no repaint) or allowing real-time updates mid-bar, mirroring the โ€œWait for timeframe closesโ€ behavior. Clean Multi-TF Overlays: Visualize EMAs from up to three higher timeframes (1H, 4H, 1D) on any chartโ€”each using native plots to stay anchored and accurate, just like built-in EMAs. Optional Visual Smoothing Line: Add a secondary โ€œsmoothingโ€ MA line (using SMA, EMA, SMMA, WMA, or VWMA) without altering the core EMAโ€”keeps you visually aligned with built-in styling. Superior Accuracy: No repainting, no misalignmentโ€”just clean EMA values that reflect exactly what youโ€™d see in TradingViewโ€™s standard EMA with the same settings.
Pine Scriptยฎ indicator
by MrZoon
1
Quarterly Theory โ€”Q1,Q2,Q3,Q4The Quarterly Theory Indicator is a trading tool designed to visualize the natural time-based cycles of the market, based on the principles of Quarterly Theory, popularized by the Inner Circle Trader (ICT). The indicator divides market sessions into four equal โ€œquartersโ€ to help traders identify potential accumulation, manipulation, and distribution phases (AMD model) and improve the timing of entries and exits. Key Features: Quarter Divisions (Q1โ€“Q4): Each market session (e.g., NY AM, London, Asia) is divided into four quarters. Vertical lines mark the beginning of each quarter, making it easy to track session structure. Optional labels show Q1, Q2, Q3, and Q4 directly on the chart. True Open (Q2 Open): The True Open is the opening price of Q2, considered a key reference point in Quarterly Theory. A horizontal red line is drawn at the True Open price with a label showing the exact value. This line helps traders filter bullish and bearish setups: Buy below the True Open if the market is bullish. Sell above the True Open if the market is bearish. Session Awareness: The indicator can automatically detect market sessions and reset lines and labels for each new session. Ensures that only the current sessionโ€™s True Open and quarter lines are displayed, reducing chart clutter. Timeframe Flexibility: Works on any chart timeframe (1-minute to daily). Maintains accurate alignment of quarters and True Open regardless of the timeframe used. Purpose of Quarterly Theory: Quarterly Theory is based on the idea that market behavior is fractal and time-driven. By dividing sessions into four quarters, traders can anticipate potential market phases: Q1: Initial price discovery and setup for the session. Q2: Accumulation or manipulation phase, where the True Open is established. Q3: Manipulation or Judas Swing phase designed to trap traders. Q4: Distribution or trend continuation/reversal. By visualizing these quarters and the True Open, traders can reduce ambiguity, identify high-probability setups, and improve their timing in line with the ICT AMD (Accumulation, Manipulation, Distribution) framework.
Pine Scriptยฎ indicator
by samgarratt272
ETH Valuation Indicatorโ•”โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• RUBIXCUBE โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•— This indicator combines multiple on-chain and market-based metrics into a single valuation score for Ethereum. It highlights periods of relative undervaluation (green zones) and overvaluation (red zones) by normalising several metrics into a 0โ€“1 range and averaging them. Price chart signals (top panel): Green arrows mark points where the indicator flagged historically attractive buying opportunities. Valuation oscillator (bottom panel): Shows the combined score over time, cycling between undervalued and overvalued extremes. Metric breakdown (side panel): Displays the contribution of each metric, their rate of change, and their current score. This tool is designed for macro insight, not short-term trading. It helps contextualise Ethereumโ€™s position in the market cycle and provides a data-driven framework for long-term investors. โ•šโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
Pine Scriptยฎ indicator
by Rubixcube0262