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Fundamental Analysis

US Macro Cycle (Z-Score Model)US Macro Cycle (Z-Score Model) This indicator tracks the US economic cycle in real time using a weighted composite of seven macro and market-based indicators, each converted into a rolling Z-score for comparability. The model identifies the current phase of the cycle — Expansion, Peak, Contraction, or Recovery — and suggests sector tilts based on historical performance in each phase. Core Components: Yield Curve (10y–2y): Positive & steepening = growth; inverted = slowdown risk. Credit Spreads (HYG/LQD): Tightening = risk-on; widening = risk-off. Sector Leadership (Cyclicals vs. Defensives): Measures market leadership regime. Copper/Gold Ratio: Higher copper = growth signal; higher gold = defensive. SPY vs. 200-day MA: Equity trend strength. SPY/IEF Ratio: Stocks vs. bonds relative strength. VIX (Inverted): Low/falling volatility = supportive; high/rising = risk-off. Methodology: Each series is transformed into a rolling Z-score over the selected lookback period (optionally using median/MAD for robustness and winsorization to clip outliers). Z-scores are combined using user-defined weights and normalized. The smoothed composite is compared against phase thresholds to classify the macro environment. Features: Customizable Weights: Emphasize the indicators most relevant to your strategy. Adjustable Thresholds: Fine-tune cycle phase definitions. Background Coloring: Visual cue for the current phase. Summary Table: Displays composite Z, confidence %, and individual Z-scores. Alerts: Trigger when the phase changes, with details on the composite score and recommended tilt. Use Cases: Align sector rotation or relative strength strategies with the macro backdrop. Identify favorable or defensive phases for tactical allocation. Monitor macro turning points to manage portfolio risk. It's doesn't fill nan gaps so there is quite a bit of zeroes, non-repainting.
Pine Script® indicator
by GabrielAmadeusLau
EPS QoQ % ChangeThis indicator calculates and displays the quarter-over-quarter (QoQ) percentage change in earnings per share (EPS) directly on your chart, aligned with each earnings event. It is designed to quickly highlight EPS growth or decline without the need to open an earnings report, providing traders and investors with instant, visual performance context. Features : - Automatic Earnings Detection: Identifies earnings bars and calculates QoQ % change. - Color-Coded Text: Positive changes are shown in your chosen “up” color, declines in your “down” color, and flat results in a neutral color. - Customizable Appearance: Choose text size and colors to match your chart style. - Tooltip Support: Optional detailed tooltip showing reported EPS, previous EPS, and calculated QoQ change. - Compact Layout: Displays in its own pane to avoid cluttering price action. Use Cases : - Quickly assess EPS growth trends over time. - Spot significant earnings beats or misses without reading earnings transcripts. - Use alongside other technical or fundamental tools for better decision-making.
Pine Script® indicator
by jfmilly
SUPPORT RESISTANCE BY EAGLE EYESSUPPORT RESISTANCE BY EAGLE EYES The Support Resistance by Eagle Eyes indicator automatically detects key price levels where markets historically tend to reverse or consolidate. It helps traders visually identify important supply zones (resistance) and demand zones (support) for better decision-making in entries, exits, and stop-loss placement. Features Automatic Detection: Plots support and resistance levels based on recent price action and swing points. Dynamic Updating: Levels adjust as new market structure forms, ensuring real-time accuracy. Multiple Timeframe Analysis: Option to detect levels from higher timeframes for stronger zones. Customizable Sensitivity: Adjust lookback periods and strength filters to match your trading style. Clear Visuals: Color-coded lines for support (green) and resistance (red) with optional labels and zone shading. How It Works The script scans historical highs and lows, identifying zones where price has reacted multiple times. Stronger levels are based on: Number of touches/rejections Time duration since formation Closeness to the current price Best Used For Identifying key reversal zones Setting take-profit and stop-loss targets Spotting breakout and fakeout opportunities Multi-timeframe confluence trading Tip: Combine with your existing strategy (trend filters, volume analysis, candlestick patterns) for higher probability trades.
Pine Script® indicator
by Eagle_eyes9292
VRD-5: Volume Reversal Detector (5 Bars)Overview This Pine Script indicator detects potential trend reversals based on volume patterns over a 5-bar period. It identifies accumulation (bullish) and distribution (bearish) patterns using volume analysis combined with price action. Key Features Volume Analysis: Compares current volume to a 34-period SMA Identifies strong/weak volume using configurable thresholds Calculates volume "energy" as a 5-bar average ratio Pattern Detection: Bearish Signal: Looks for decreasing volume after a strong volume bar Bullish Signal: Looks for increasing volume after weak volume bars Visualization: Colored volume histogram (bullish/bearish/neutral) SMA volume line Labels for detected signals Customization Options: Adjustable lookback period (3-10 bars) Configurable thresholds for volume strength Strict mode requiring confirming price action Suggested Improvements Performance Optimization: Reduce the max_labels_count (currently 500) to improve performance Consider using barstate.isconfirmed for more efficient calculations Enhanced Visualization: Add arrows on price chart for better visibility Include a background color highlight for signal periods Add option to display the energy level as a separate line Additional Features: Incorporate RSI or MACD for confirmation Add multi-timeframe analysis capability Include a strategy version for backtesting Code Structure: Separate the logic into distinct functions for better readability Add more detailed comments for complex calculations Consider using varip for real-time updates if needed User Experience: Add input options for label text size/position Include sound options for alerts Add a toggle for the information table This indicator provides a solid foundation for volume-based reversal detection that could be further enhanced with these improvements while maintaining its core functionality.
Pine Script® indicator
by mjarry8123
TRI - Smart Zones============================================================================ # TRI - SMART ZONES v2.0 ## Professional Smart Money Concepts Indicator for Pine Script v6 ============================================================================ ## 📊 OVERVIEW **TRI - Smart Zones** is a comprehensive Smart Money Concepts indicator that combines multiple institutional trading concepts into a single, powerful tool. Built with Pine Script v6 for optimal performance and reliability. ## 🎯 CORE FEATURES ### **Fair Value Gaps (FVG)** - **Detection**: Automatic identification of price imbalances - **Types**: Bullish and Bearish Fair Value Gaps - **Threshold**: Customizable gap size requirements (0.1% default) - **Extension**: Configurable zone projection length - **Mitigation**: Real-time tracking of gap fills ### **Order Blocks (OB)** - **Detection**: Volume-based institutional footprint identification - **Types**: Bullish and Bearish Order Blocks - **Method**: Pivot-based volume analysis with configurable lookback - **Validation**: Market structure confirmation required - **Extension**: Adjustable zone projection ### **BSL/SSL Liquidity Levels** - **Multi-Timeframe**: Automatic higher timeframe reference - **Dynamic**: Real-time level updates and extensions - **Visual**: Clear line markings with timeframe labels - **Smart**: Adaptive timeframe selection based on current chart ### **Fibonacci Extensions** - **ZigZag Integration**: Advanced pivot point detection - **Levels**: Customizable Fibonacci ratios (38.2%, 61.8%, 100%, 161.8%) - **Projection**: Dynamic extension from swing points - **Visual**: Subtle dashed lines with level/price labels ### **Smart Dashboard** - **Zone Statistics**: Real-time FVG and OB counts - **Success Rates**: Mitigation percentages for each zone type - **Market Bias**: Intelligent bullish/bearish/neutral assessment - **Positioning**: Customizable location and size ### **Zone Analysis Engine** - **Technical Confluence**: RSI, ADX, ATR, Volume analysis - **VWAP Integration**: Institutional price reference - **Confidence Scoring**: High/Mid/Low signal classification - **Signal Arrows**: Visual trade direction indicators ## 🔔 ALERT SYSTEM ### **Market Structure Alerts** - `Market Bias Changed` - Shift in overall market sentiment - `BSL Touched` - Buy Side Liquidity level reached - `SSL Touched` - Sell Side Liquidity level reached ### **Zone Touch Alerts** - `OB Touched` - Any Order Block interaction - `Bullish OB Touched` - Bullish Order Block touch - `Bearish OB Touched` - Bearish Order Block touch - `FVG Touched` - Any Fair Value Gap interaction - `Bullish FVG Touched` - Bullish FVG touch - `Bearish FVG Touched` - Bearish FVG touch - `Zone Touched` - Any Smart Zone interaction - `Bullish Zone Touched` - Any bullish zone touch - `Bearish Zone Touched` - Any bearish zone touch ## ⚙️ CONFIGURATION ### **Zone Detection** - Enable/disable FVG and OB detection independently - Maximum zones per type (3-15, default: 8) - Zone-specific threshold and extension settings ### **Visual Customization** - Individual color schemes for each zone type - Adjustable transparency levels - Configurable line styles and widths - Dashboard positioning and sizing options ### **Technical Analysis** - RSI, ADX, ATR period customization - Volume threshold multipliers - Confidence level color coding - Signal display toggle ## 🚀 PINE SCRIPT v6 OPTIMIZATIONS - **User-Defined Types**: Structured data for zones and statistics - **Methods**: Type-specific operations for better code organization - **Enhanced Arrays**: Optimized memory management - **Switch Statements**: Improved performance for zone classification - **Error Handling**: Robust input validation and edge case management - **Performance**: Efficient algorithms for real-time analysis ## 📈 TRADING APPLICATIONS ### **Entry Strategies** - Zone confluence for high-probability setups - Multi-timeframe confirmation via BSL/SSL - Fibonacci extension targets - Signal arrows for directional bias ### **Risk Management** - Zone mitigation for stop-loss placement - Market bias for position sizing - Dashboard statistics for strategy validation ### **Market Analysis** - Institutional footprint identification - Liquidity level mapping - Market structure assessment - Trend continuation vs reversal analysis ## 🔧 TECHNICAL SPECIFICATIONS - **Version**: Pine Script v6 - **Overlay**: True (draws on price chart) - **Max Objects**: 100 boxes, 100 lines, 50 labels - **Performance**: Optimized for real-time analysis - **Compatibility**: All TradingView chart types and timeframes
Pine Script® indicator
by riccardo_tempesta
1
Earnings X-Ray and Fundamentals Data:VSMarketTrendThis indicator calculates essential financial metrics for stocks using TradingView's built-in functions and custom algorithms. The values are derived from fundamental data sources available on TradingView. Key Output Metrics(YOY Basic Quaterly DATA) MC (Market Cap): Company’s total market value (Price × Total Shares). TS (Total Shares Outstanding): All shares (float + restricted) in circulation. Sales: Annual revenue (TTM or latest fiscal year). NETIn: Net income P/E (Price-to-Earnings): Valuation ratio (Market Cap / Net Income or Price / EPS). EPS (Earnings Per Share): Net income per share (Net Income / TS). OPM (Operating Margin %): Core profitability (Operating Income / Revenue × 100). Quick Ratio: Short-term liquidity ((Current Assets – Inventory) / Current Liabilities). BVPS (Book Value Per Share): Equity per share (Shareholders’ Equity / TS). PS (Price-to-Sales): Revenue-based valuation (Market Cap / Annual Revenue). FCF (Free Cash Flow Per Share): Post-CapEx cash ((Operating Cash Flow – CapEx) / TS). Data Sources & Methods Uses TradingView’s request.financial() for income/balance sheet data (Revenue, EBITDA, etc.). Fetches real-time metrics via request.security() (e.g., Shares Outstanding). Normalizes data across timeframes (quarterly/annual). Disclaimer Not financial advice. Verify with official filings before trading.
Pine Script® indicator
by LoveTheProcess
Power Earnings Gap Screener Pro [LevelUp]Customizable Pine Screener to scan for stocks with a Power Earnings Gap as well as accelerating earnings and sales. Historical analysis shows that strong earnings often trigger institutional buying, pushing prices higher and increasing the likelihood of sustained price gains. 🔹 Power Earnings Gap (PEG) A power earnings gap refers to a significant price gap up after an earnings report, reflecting a rapid shift in investor sentiment and perceived value. It’s called "power" because the move is often sharp, sustained, and accompanied by high trading volume, signaling a potential trend continuation or reversal. A gap is the difference between the closing price of a stock on the day before an earnings report and the opening price the next trading day. A power earnings gap typically exceeds a certain threshold (e.g., 8-10% or more) and is driven by earnings surprises, guidance changes, or other significant news. Strong earnings beats, misses, or forward-looking guidance can trigger these gaps. For example, a company reporting higher-than-expected profits or raising guidance might gap up, while a miss or weak outlook could cause a gap down. The gap is often accompanied by above-average trading volume, confirming the move's strength. Power gaps often lead to sustained price movement in the direction of the gap (continuation) or signal a reversal if the gap fills quickly. How Power Earnings Gap Be Helpful ▪ Power earnings gaps often indicate strong momentum. Traders can capitalize on this by entering trades in the direction of the gap (e.g., buying on a gap-up if the trend continues). Example: If a stock gaps up 10% after a stellar earnings report and shows high volume, traders might buy, expecting further upside as momentum builds. ▪ Breakout Opportunities: A gap through key technical levels (e.g., resistance or support) can signal a breakout. Traders use these gaps to identify potential long-term trends. Example: A stock breaking above a resistance level on a power earnings gap may continue to rally, offering a setup for swing or position traders. ▪ Volatility for Short-Term Trades: Earnings gaps create heightened volatility, ideal for day traders or scalpers. The large price swings allow for quick profits if timed correctly. Example: A trader might use options (e.g., calls for a gap-up, puts for a gap-down) to leverage the volatility around earnings. ▪ Confirmation of Fundamental Strength/Weakness: A power earning gap often reflects a fundamental shift, e.g., strong earnings growth or a major business development. Traders can use this to align technical setups with fundamental catalysts. Example: A gap-up after a company raises its full-year guidance might signal a long-term buying opportunity. ▪ Risk Management and Stop Losses: Gaps provide clear levels for setting stop-loss orders. For instance, traders might place stops at or below the gap up bar low to protect against a potential reversal. Example: If a stock gaps up from $100 to $110 and intraday hits a low of $105, a trader might set a stop at $105 or lower to limit downside risk. ▪ Gap Fill Strategies:Some traders bet on gaps filling, i.e., the stock returning to its pre-gap price. If a power earnings gap seems overextended (e.g., due to market overreaction), contrarian traders might short a gap-up or buy a gap-down, anticipating a pullback. Example: A stock gaps up 15% but lacks volume or follow-through; a trader might short it, expecting the price to retreat. 🔹 Earnings and Sales Acceleration Earnings and sales acceleration refers to the rate of growth in a company's earnings over consecutive quarters. It highlights companies that are not only growing but doing so at an accelerating pace, signaling improving financial health and operational momentum. This metric is derived from earnings reports, which detail a company’s financial performance. Key Concepts ▪ Earnings Acceleration: When a company’s earnings per share (EPS) growth rate increases over time (e.g., EPS growth of 10% in Q1, 15% in Q2, 20% in Q3). It indicates improving profitability, often due to cost efficiencies, margin expansion and strong demand. ▪ Sales Acceleration: When revenue growth rates increase over time (e.g., revenue growth of 5% in Q1, 8% in Q2, 12% in Q3). This reflects rising demand for products/services and operational efficiency. ▪ Relation to Earnings Reports: Acceleration is calculated by comparing sequential quarter-over-year growth rates in earnings and sales, often highlighted in earnings reports or analyst commentary. It’s a sign of fundamental strength when both metrics accelerate together. How It’s Helpful to Traders ▪ Identify High-Potential Stocks: Stocks with accelerating earnings and sales often attract investor attention, as they signal a company is outperforming expectations and gaining market share. This can lead to sustained price appreciation. Example: A tech company reporting 20% EPS growth and 15% sales growth quarter-over-quarter may see bullish price action as investors bet on continued momentum. ▪ Momentum Trading Opportunities: Acceleration often fuels stock price momentum, especially post-earnings. Traders can ride these trends using technical setups like breakouts or pullbacks. Example: A stock breaking above a key resistance level after reporting accelerating growth may be a buy signal for swing traders. ▪ Early Indicator of Breakouts: Companies with accelerating fundamentals are more likely to experience price breakouts, as institutional investors (e.g., hedge funds, mutual funds) pile in. Traders can use this to position early. Example: A retailer with accelerating sales due to strong holiday demand might gap up post-earnings, offering a breakout trade. ▪ Confirmation of Fundamental Strength: Acceleration validates a company’s growth story, reducing the risk of investing in stocks with inconsistent performance. Traders can align technical trades with strong fundamentals. Example: A biotech with accelerating sales from a new drug launch may sustain a rally, giving traders confidence in long positions. ▪ Volatility for Short-Term Trades: Earnings reports showing acceleration often lead to significant price gaps or volatility, creating opportunities for day traders or options traders. Example: A trader might buy call options on a stock expected to report accelerating earnings, anticipating a sharp post-earnings move. 🔹 Power Earnings Gaps - Examples 🔹 Screening Features - Setting Your Search Criteria Power Earnings Gap ▪ Search Range How many bars back to search for Power Earnings Gaps, anywhere between 1 and 90 bars. ▪ Last Bar Only Look only at the last bar for Power Earnings Gaps. This is useful when looking for PEGs when screening at the end of a trading day. Choosing this option, the Search Range will be ignored. ▪ Minimum Price % Gap Up From Prior Close This is the minimum gap up percent change to be considered a Power Earnings Gap. ▪ Minimum Volume % Change Over Average This is the minimum volume percent change, over the 50-day average volume, to be considered a Power Earnings Gap. ▪ Require Positive Surprise Require a positive earnings surprise and the minimum percent change. ▪ Require Closing Range To ensure the price action closed strong on the day, specify a preferred closing range as a percentage of the bar's daily range. ▪ Gap Up Bar The gap up bar can be configured to require one of the following: - Open Above Prior High - Ensures there is visible gap up from the prior bar. - Low Above Prior High - Allows for intraday price action to go below the prior bar high. - No Requirement Earnings And Sales Acceleration ▪ Quarters of Acceleration You can specify between 1 and 4 quarters of earnings and/or sales acceleration. 🔹 Installation And Usage ▪ Mark this indicator as a Favorite. ▪ Use the Pine Screener to search for stocks. ▪ Save the search results to a watchlist. ▪ View the watchlist in TradingView. 🔹 Note ▪ Risk of Reversals: Not all gaps sustain their direction. Over reactions can lead to gap fills. ▪ High Volatility: Earnings gaps can be unpredictable, requiring quick decision-making & discipline.
Pine Script® indicator
by LevelUpTools
5
Ai buy and sell fundamental the Gk fundamental is a precision built market analysis tool designed yto help traders identify high probability it uses a combination of market structure analysis, volatility tracking, and multi time frame confirmation to highlight possible trade opportunities HOW IT WORKS analyses momentum shift and structure breaks on the 2h chart for clearer direction confirms potential entries by filtering market noise and using volatility directional filters HOW TO USE apply 2h chart for primary direction when signal appears allow 1 candle to close for confirmation drop to lower time frame to lower time frame to refine entry if desired always use proper risk management - no tool guarantees results
Pine Script® indicator
by hgavin780
Comparaison DXY, VIX, SPX, DJI, GVZPine Script indicator compares the normalized values of DXY, VIX, SPX, DJI, and GVZ indices on a single scale from 0 to 100. Here's a breakdown of what it does: Data Requests: Gets closing prices for: US Dollar Index (DXY) VIX Volatility Index S&P 500 (SPX) Dow Jones Industrial Average (DJI) Gold Volatility Index (GVZ) Normalization: Each index is normalized using a 500-period lookback to scale values between 0-100, making them comparable despite different price scales. Visualization: Plots each normalized index with distinct colors Adds a dotted midline at 50 for reference Uses thicker linewidth (2) for better visibility Timeframe Flexibility: Works on any chart timeframe since it uses timeframe.period This is useful for: Comparing relative strength/weakness between these key market indicators Identifying divergences or convergences in their movements Seeing how different asset classes (currencies, equities, volatility) relate You could enhance this by: Adding correlation calculations between pairs Including options to adjust the normalization period Adding alerts when instruments diverge beyond certain thresholds Including volume or other metrics alongside price
Pine Script® indicator
by mjarry8123
Minimal S/R Zones with Volume StrengthHow it works Pivot Detection A pivot high is a candle whose high is greater than the highs of a certain number of candles before and after it. A pivot low is a candle whose low is lower than the lows of a certain number of candles before and after it. Parameters like Pivot Left Bars and Pivot Right Bars control how sensitive the pivots are. Zone Creation Pivot High → creates a Resistance zone. Pivot Low → creates a Support zone. Each zone is defined as a price range (top and bottom) and drawn horizontally for a given lookback length. Volume Strength Filter Volume Strength (%) = (Volume at Pivot / Volume SMA) × 100. If the strength is below the minimum threshold (Min Strength %), the zone is ignored. This ensures only pivots with significant trading activity create zones. Zone Management The indicator stores zones in arrays. Max Zones per side prevents too many zones from being displayed at once. Older zones are removed when new ones are added beyond the limit. Visuals Support zones → green label with Volume Strength %. Resistance zones → red label with Volume Strength %. Zones have semi-transparent boxes so price action remains visible.
Pine Script® indicator
by tai239
Risk Appetite IndexWhat This Indicator Does The Risk Appetite Index measures market participants' willingness to take risk by analyzing multiple market factors. This indicator attempts to provide insights into overall market sentiment by combining information from different market segments into a single composite measure. How It Works The indicator uses a multi-factor approach that examines various aspects of market behavior including equity market conditions, interest rate environments, credit markets, volatility patterns, and other relevant market data. These factors are processed and combined to create a composite reading on a 0-100 scale. Theoretical Foundation The methodology is grounded in established financial theories including Modern Portfolio Theory principles for risk assessment, behavioral finance concepts regarding market sentiment cycles, and factor investing approaches for multi-dimensional market analysis. The indicator incorporates insights from academic research on market microstructure, volatility clustering phenomena, and cross-asset correlation patterns during different market regimes. The approach draws from research on fear and greed cycles in financial markets, term structure modeling, and credit risk assessment methodologies. Statistical techniques employed include robust normalization methods and composite index construction principles established in econometric literature. The methodology employs statistical techniques to normalize the different market inputs and reduce the impact of extreme values. The final output aims to reflect the general level of risk appetite present in financial markets. Signal Interpretation Values above 60 may suggest higher risk appetite conditions in markets. Values below 30 may indicate lower risk appetite environments. The 30-60 range represents neutral or mixed conditions where market sentiment may be unclear. The indicator includes threshold levels that may help identify potential changes in market conditions. However, like all technical indicators, these levels should be considered as potential reference points rather than definitive signals. Research Context The approach builds upon established sentiment measurement methodologies documented in financial literature, including studies on VIX-based fear indicators, credit spread analysis, yield curve interpretation, and cross-asset momentum research. The multi-factor design reflects principles from academic research on composite economic indicators and systematic risk assessment frameworks used by central banks and institutional investors. The threshold-based signal generation follows established precedents in quantitative finance research regarding regime detection and market state classification methodologies documented in institutional portfolio management literature. Key Features Analytics Dashboard: Displays real-time information about current readings, market regime assessment, and signal quality indicators. Visual Tools: Multiple color schemes and background options to help visualize current market conditions and trends. Alert System: Optional alerts for threshold crossings and regime changes to help monitor market conditions. Quality Assessment: Built-in filters attempt to distinguish between higher and lower confidence readings based on data quality and market conditions. How to Use This indicator is designed to be used on daily timeframes and displays in a separate panel below the main chart. It works best when used as part of a comprehensive market analysis approach rather than as a standalone trading tool. The dashboard provides additional context about current readings and may help users understand the quality and reliability of current signals. Users should consider multiple factors and conduct their own analysis when making trading decisions. Important Considerations This indicator is designed for educational and analytical purposes. It does not guarantee profitable trading results and should not be used as the sole basis for trading decisions. Market conditions can change rapidly and unpredictably. Past behavior of any indicator does not predict future market movements. All trading involves substantial risk and may not be suitable for all investors. The indicator's effectiveness may vary across different market environments and conditions. Users should consider their own risk tolerance and investment objectives when using any analytical tool. Data Limitations The indicator relies on multiple external data sources and may be affected by data quality, market holidays, or limited trading hours. Performance may vary during unusual market conditions or structural changes in financial markets. Like all quantitative models, this indicator has inherent limitations and may not capture all relevant market factors or unprecedented market events. Intended Use This indicator may be useful for traders and analysts seeking additional tools for market sentiment analysis. It is designed for those who want to incorporate multiple market factors into their decision-making process. Academic Research Foundation The development approach incorporates established research methodologies from quantitative finance literature. Key theoretical frameworks include: Factor Models: Based on research into multi-factor asset pricing models and their application to portfolio construction and risk management practices developed in academic finance literature. Behavioral Finance: Incorporates findings from behavioral economics research on market anomalies, investor psychology, and sentiment-driven market movements as documented in financial psychology studies. Market Microstructure: Utilizes principles from market microstructure research regarding information flow, price discovery mechanisms, and cross-market relationships established in institutional finance literature. Risk Management: Built upon established risk measurement frameworks including Value at Risk methodologies, stress testing approaches, and systematic risk assessment techniques documented in risk management research. Econometric Methods: Employs statistical techniques based on time series analysis, robust estimation methods, and composite index construction principles established in econometric literature and central bank research methodologies. The proprietary methodology combines various market inputs in an attempt to provide insights into overall risk appetite trends, though results may vary and should always be considered alongside other forms of analysis. Risk Warnings Past performance does not guarantee future results. All trading involves substantial risk of loss. This indicator does not eliminate market risk and should be used as part of a comprehensive trading plan. Market conditions can change rapidly and unexpectedly. No indicator is accurate in all market conditions. Technical Requirements Optimal use on daily charts with TradingView Pro or higher for real-time data access. Designed primarily for US equity market analysis during regular trading hours. Note: This is a closed-source indicator with proprietary calculation methods designed to maintain effectiveness and provide users with a unique analytical tool.
Pine Script® indicator
by EdgeTools
2
TSI Indicator with Trailing StopAuthor: ProfitGang Type: Indicator (visual + alerts). No orders are executed. What it does This tool combines the True Strength Index (TSI) with a simple tick-based trailing stop visualizer. It plots buy/sell markers from a TSI cross with momentum confirmation and, if enabled, draws a trailing stop line that “ratchets” in your favor. It also shows a compact info table (position state, entry price, trailing status, and unrealized ticks). Signal logic (summary) TSI is computed with double EMA smoothing (user lengths). Signals: Buy when TSI crosses above its signal line and momentum (TSI–Signal histogram) improves, with TSI above your Buy Threshold. Sell when TSI crosses below its signal line and momentum weakens, with TSI below your Sell Threshold. Confirmation: Optional “Confirm on bar close” setting evaluates signals on closed bars to reduce repaint risk. Trailing stop (visual only) Units are ticks (uses the symbol’s min tick). Start Trailing After (ticks): activates the trail only once price has moved in your favor by the set amount. Trailing Stop (ticks): distance from price once active. For longs: stop = close - trail; it never moves down. For shorts: stop = close + trail; it never moves up. Exits shown on chart when the trailing line is touched or an opposite signal occurs. Note: This is a simulation for visualization and does not place, manage, or guarantee broker orders. Inputs you can tune TSI Settings: Long Length, Short Length, Signal Length, Buy/Sell thresholds, Confirm on Close. Trailing Stop: Start Trailing After (ticks), Trailing Stop (ticks), Show/Hide trailing lines. Display: Toggle chart signals, info table, and (optionally) TSI plots on the price chart. Alerts included TSI Buy / TSI Sell Long/Short Trailing Activated Long/Short Trail Exit Tips for use Timeframes/markets: Works on any symbol/timeframe that reports a valid min tick. If your market has large ticks, adjust the tick inputs accordingly. TSI view: By default, TSI lines are hidden to avoid rescaling the price chart. Enable “Show TSI plots on price chart” if you want to see the oscillator inline. Non-repainting note: With Confirm on bar close enabled, signals are evaluated on closed bars. Intrabar previews can change until the bar closes—this is expected behavior in TradingView. Limitations This is an indicator for education/research. It does not execute trades, and visuals may differ from actual broker fills. Performance varies by market conditions; thresholds and trail settings should be tested by the user. Disclaimer Nothing here is financial advice. Markets involve risk, including possible loss of capital. Always do your own research and test on a demo before using any tool in live trading. — ProfitGang
Pine Script® indicator
by profitgang
PFA_Earnings Surprise %📌 Indicator Name: Earnings Surprise % 📖 Description: The Earnings Surprise % indicator calculates and plots the difference between reported EPS (Earnings Per Share) and analyst consensus estimates, expressed as a percentage of the estimate. It helps traders and investors quickly gauge how much a company’s earnings have deviated from expectations on each earnings release date. Earnings Surprise % — See how earnings stack up against expectations! This simple yet powerful tool shows the percentage difference between reported EPS and analyst estimates directly on your chart. Positive surprises are plotted in green, negative surprises in red, so you can instantly spot earnings beats and misses. Great for combining with gap analysis, volume spikes, or technical setups around earnings dates. Works best on daily charts of stocks and ETFs with regular earnings reports.
Pine Script® indicator
by v_r_omega_7
⚡ AbyssX Dip Hunter ⚡SP_Quant⚡AbyssX Dip Hunter ⚡ by SP_Quant AbyssX Dip Hunter is a clean and effective indicator designed to help you identify potential dip-buying opportunities using Z-Score analysis and an optional RSI filter. 🔍 How It Works: Z-Score Logic: Detects statistical price dips when the Z-Score drops below your set threshold. Optional RSI Filter: Filters signals only when RSI is under a specified level — useful for avoiding false positives in strong trends. Custom Color Mode: Choose your preferred signal color (Purple, Cyan, Green, or Orange). Chart Visuals: Dip signals are shown with triangle markers and soft background highlights. Live Info Panel: Displays real-time RSI, Z-Score, and signal status in a table on your chart. ⚙️ Settings: Z-Score Length & Threshold RSI Filter ON/OFF with custom RSI Length and Threshold Visual Style (Color Mode) ✅ Best for traders who use oversold/mean-reversion strategies or look for extreme pullbacks. ⚠️ Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice, trading advice, or investment recommendations. Use it at your own risk. Always perform your own analysis before making any trading decisions. The author is not liable for any losses or damages resulting from the use of this script.
Pine Script® indicator
by SP_Quant
ZoneShift+StochZ+LRO + AI Breakout Bands [Combined]This composite Pine Script brings together four powerful trend and momentum tools into a single, easy-to-read overlay: ZoneShift Computes a dynamic “zone” around price via an EMA/HMA midpoint ± average high-low range. Flags flips when price closes convincingly above or below that zone, coloring candles and drawing the zone lines in bullish or bearish hues. Stochastic Z-Score Converts your chosen price series into a statistical Z-score, then runs a Stochastic oscillator on it and HMA-smooths the result. Marks momentum flips in extreme over-sold (below –2) or over-bought (above +2) territory. Linear Regression Oscillator (LRO) Builds a bar-indexed linear regression, normalizes it to standard deviations, and shows area-style up/down coloring. Highlights local reversals when the oscillator crosses its own look-back values, and optionally plots LRO-colored candles on price. AI Breakout Bands (Kalman + KNN) Applies a Kalman filter to price, smooths it further with a KNN-weighted average, then measures mean-absolute-error bands around that smoothed line. Colors the Kalman trend line and bands for bullish/bearish breaks, giving you a data-driven channel to trade. Composite Signals & Alerts Whenever the ZoneShift flip, Stoch Z-Score flip, and LRO reversal all agree and price breaks the AI bands in the same direction, the script plots a clear ▲ (bull) or ▼ (bear) on the chart and fires an alert. This triple-confirmation approach helps you zero in on high-probability reversal points, filtering out noise and combining trend, momentum, and statistical breakout criteria into one unified signal.
Pine Script® indicator
by femiokelolamis