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The Sentiment Indicator - Ultimate Hybrid v2(image shown of chart is not the coloured candles - message for a screenshot) The Sentiment Indicator – Ultimate Hybrid v2 Most indicators react. This one anticipates. Using dual-timeframe sentiment normalization, it blends institutional money flow, market participation, global risk appetite, and adaptive momentum into one real-time composite score — then colours your candles from blood red (panic) to deep green (conviction). What You See Dark Green Candles = Institutional buying confirmed (Filtered by volume, flow, and participation — no fakeouts) Early Warning Flash = Short-term sentiment collapsing while price still high → Your edge to exit or hedge before the drop Dynamic Thresholds = Levels shift with market regime — never static Trend Boost Engine = Rewards sustained moves, punishes chop Built for Real Traders Works on SPY, QQQ, IWM, stocks, futures, crypto No repainting | No lookahead | Fully transparent logic Top-right dashboard shows every layer in real time Dark Green Gate™ blocks false strength signals How It Works (The Edge) We analyse 12 major assets and over 20 institutional-grade metrics — including: Smart money flow (volume-weighted, momentum-adjusted) Market breadth (% of stocks above key MAs) Global risk-on/risk-off signals (equities, bonds, commodities, EM) VIX regime penalties Up/down volume panic ratio All fused into one adaptive composite score using dual-timeframe normalization (long-term stability + short-term sensitivity). Key Inputs You Control Primary Lookback (default: 40) – Core sensitivity Early Warning Threshold (default: -15) – Catch tops early Money Flow Weight (default: 50%) – Prioritize volume action Dark Green Gate™ – ON/OFF – Blocks false strength signals Exclusive Features Early Warning System™ – Flashes when short-term sentiment collapses while price is still high Dynamic Thresholds – Auto-adjust to current market volatility Trend Boost Engine – Rewards sustained moves above the 150-day MA Dark Green Gate™ – Requires volume + flow + price confirmation for top-tier signals Works Everywhere SPY, QQQ, IWM, ES, NQ, stocks, crypto Work on daily, weekly Real-time dashboard with every layer visible Stop reacting. Start anticipating.
Chỉ báo Pine Script®
của Kirk_M
P1 - Multi-Instrument Weekly Levels - Version 11.9.25.5Levels based on RDGD channels. // =========================================================================== // Multi-Instrument Weekly Levels + MSL X + Alerts + ES to SPX Converter // Version: 11.9.25.5 // // VERSION TRACKING: // Format: xx.xx.xx.x (Month.Day.Year.Revision) // - First number: Month (11 = November) // - Second number: Day (9 = 9th) // - Third number: Year (25 = 2025) // - Fourth number: Revision (5 = updated MSL/NPL values and reorganized settings) // // CHANGE LOG: // 11.9.25.5 - Updated MSL/NPL values and reorganized settings layout // 11.9.25.4 - Updated NQ Monday and Weekly levels // 11.9.25.3 - Fixed showSPXLevels variable name (capital L) // 11.9.25.2 - Updated SPY, QQQ, ES, YM, RTY, GC weekly and daily levels // 11.9.25.1 - Initial version saved as starting script // ===========================================================================
Chỉ báo Pine Script®
của goodbadmas
Magnificent 7 Basket This indicator is engineered for traders focused specifically on the seven most influential technology stocks (At the time of writing). It moves beyond single-asset analysis by establishing a sophisticated multi-factor validation system. Its primary mission is to filter out the noise and transient volatility of the local chart you are observing by determining whether the price action is fundamentally aligned with the coordinated capital flow driving Market Leadership (the Magnificent 7) and Global Risk Appetite (the U.S. Dollar Index, DXY). The indicator achieves this by integrating three distinct data streams—local momentum, Mag 7 synchronized flow, and DXY context—into one final, powerful metric: the Self-Confirming Line (the Combined Plot). This line is a statistically refined score that provides the ultimate signal. It tells you, with high conviction, if the local move you are observing is merely an isolated event or is genuinely supported by coordinated capital deployment across the most influential assets in the market: Apple (AAPL), Microsoft (MSFT), Alphabet (GOOGL), Amazon (AMZN), Nvidia (NVDA), Tesla (TSLA), and Meta Platforms (META). This validation is crucial because trades that lack systemic backing are often high-risk, low-reward propositions. Part I: The Alignment Philosophy – Systemic Context in Modern Markets 1. Market Leadership: The Magnificent 7 Index as a Capital Flow Barometer The Mag 7 basket is not simply an aggregate of large stocks; it is the thermometer of risk appetite for the highest-value technology companies. Their collective momentum serves as a real-time proxy for the conviction of institutional capital managers. The Necessity of Validation: When one of the seven stocks flashes a buy signal, the movement must be checked against the collective health of the Mag 7. If one stock is rising while the basket is stagnating or declining, the local move is likely based on short-term news or a temporary enthusiasm spike. Such moves often lack the institutional commitment required for sustained follow-through. High-Conviction Bullish Confirmation: Imagine one of the seven stocks is completing a bullish pattern breakout. If the indicator confirms that the Mag 7 basket is simultaneously exceeding its adaptive volatility threshold (M7s signal), it signifies a coordinated "risk-on" movement. This confirms that the market leaders are validating the sentiment on your chart, greatly increasing the probability that the breakout will continue. The Self-Confirming Line will reflect this powerful alignment by spiking higher than the local Raw Line. Contradiction and Caution (Bearish Warning): Conversely, if one of the seven stocks shows a deep, alarming pullback, but the Mag 7 basket is holding firm or showing synchronized positive inertia, the indicator issues a warning. The local pullback is likely a shallow, temporary correction that will quickly be bought up by liquidity flowing among the leaders. By identifying this contradiction, the Self-Confirming Line warns against premature bearish entries that are swimming against the overwhelming systemic current. 2. Global Risk Appetite: The DXY as the Inverse Barometer The DXY (U.S. Dollar Index) measures the value of the dollar relative to a basket of six major foreign currencies. Because the Dollar is the world's primary reserve currency and a dominant component of global liquidity, its strength or weakness profoundly impacts risk assets, particularly the globally operating Magnificent 7 technology companies. DXY Strength (The Headwind): A rising DXY signals a tightening of global liquidity, a shift toward safer assets, or the repatriation of capital. For U.S.-based technology giants with substantial international revenue, a strong DXY acts as a systemic Headwind. This structural drag can suppress equity prices even if local earnings news is good. The indicator uses this relationship to penalize the final sentiment score, cautioning you to reduce leverage or size. DXY Weakness (The Tailwind): A falling DXY suggests greater risk tolerance and capital moving out of safe havens. This creates a powerful systemic Tailwind for the technology sector. The indicator magnifies the conviction score when the local price movement is aligned with this liquidity flow, validating the strength of the bullish move. Part II: Core Mechanics and Calculation Detail – The Engine Room The indicator is built upon a layered system of filters and adaptive calculations to produce a reliable, filtered signal. 1. The Basket Calculation and The Adaptive Threshold The Mag 7 basket's external validation score is generated through a rigorous, multi-step calculation. This process ensures the signal is based on the aggregate quality of momentum, not just raw price movement. A. Calculating the Basket Total Score (BTS) Individual Component Fetch: The script first makes seven distinct request.security calls to simultaneously fetch the price data for each of the seven Magnificent 7 stocks, ensuring they are all synchronized to the current bar's close time. Individual Quality Scoring: For each of the seven stocks, the system calculates a proprietary Momentum Quality Score. This score is based on the stock’s closing strength, its raw Moving Average divergence, and most importantly, its current RSI Strike Batch (detailed below). This step ensures poor-quality moves (e.g., short-lived, high-volume spikes that immediately reverse) do not contribute meaningfully to the basket’s total conviction. Aggregation: The seven Individual Quality Scores are summed up to create the Basket Total Score (BTS). This BTS represents the instantaneous, aggregated momentum quality of the entire market leadership group. Standard Deviation Context: The script then calculates the historical standard deviation (volatility) of the BTS over the user-defined Basket Adaptive Lookback. This provides the essential context: How significant is the current BTS movement relative to recent systemic volatility? B. The M7 Labels (Statistical Significance + Quality Filter) The M7 confirmation labels (M7s, M7m, M7w) that appear on the price bars are generated only when two conditions are met, acting as a two-factor authentication system for systemic strength: on the left of the labels is a number representing how many of the 7 stocks reached RSI on the viewable timeframe. These labels appear in blue below for buying and orange above in selling pressure. Statistical Significance (Standard Deviation Check): The current Basket Total Score (BTS) must exceed its historical standard deviation by a defined multiple: M7w (Weak/Initial): BTS > 1.0 Standard Deviation M7m (Medium/Confirmation): BTS > 1.5 Standard Deviations M7s (Strong/High Conviction): BTS > 2.0 Standard Deviations RSI Quality Check (Accumulation Filter): The collective RSI Strike Batch Count (explained below) for the Mag 7 must indicate a measured accumulation rather than an exhaustion spike. The M7 label will only print on the bar if the combined RSI quality of the basket is within the desirable RSI Strike Batches (55-75). If the BTS is statistically significant (Condition 1) but the underlying RSI profile of the components suggests exhaustion (RSI > 80), the M7 label is suppressed, filtering out false-breakout signals. The M7 label is thus a powerful confirmation: the move is statistically massive and structurally healthy. 2. RSI Strike Batches and Identifying "Hot Periods" The core of the "Accumulation Filter" relies on proprietary RSI target ranges, called RSI Strike Batches, designed to find measured, persistent institutional flow as opposed to retail-driven extremes. A. Defining RSI Strike Batches Instead of treating the Relative Strength Index (RSI) as a binary overbought/oversold signal, the system uses distinct bands that correlate with different phases of large capital deployment: RSI Range (Batch) Interpretation Momentum Quality 55-65 Early Accumulation/Distribution The first phase of clear directional bias. Large capital actively establishing positions. This is the highest momentum zone. 65-75 Sustained Trend/Mid-Cap Deployment Strong follow-through. Trend continuation is confirmed, but liquidity is starting to thin. 75-80 Late-Stage Euphoria/Liquidity Trap Price is nearing exhaustion. The risk of quick reversal is high. This range penalizes the score. B. The "Hot Period" Confirmation A Hot Period is identified when a significant number of Mag 7 components are simultaneously operating within the highest quality momentum zones (RSI 55-65 or 65-75). Detection: The indicator counts how many of the seven stocks fall into these bullish or bearish strike batches on the current bar. Conviction Magnification: When, for example, four or more of the Mag 7 stocks are simultaneously in the RSI 55-65 Bullish Strike Batch, it signals synchronized, coordinated capital deployment across the sector. This is a true "Hot Period" of high institutional conviction. Signal Output: When a Hot Period is detected, the external validation score (which feeds into the Self-Confirming Line) is magnified significantly. This prevents the system from generating high-conviction signals during periods when all the leaders are simply exhibiting exhausted overbought (RSI > 80) conditions, ensuring trades are entered during the measured, sustained phase of accumulation. Part III: Interpreting the Sentiment Plot Lines – Alignment and Divergence The indicator plots two distinct lines at the bottom of the chart. Mastering the interplay between these two plots is the key to trading with the indicator. Sentiment Line Data Source Interpretation Focus Key Use Case AAI Sentiment Index (The Raw Line) Internal to the current chart only. Local Momentum. Measures the asset's own strength, volatility, and internal MA crosses. Identifying early, pre-validated trade setups, confirming local divergences (e.g., price higher, Raw Line lower). Self-Confirming Line (The Combined Plot) Raw Line + Mag 7 Score + DXY Weight. Systemic Alignment. The final, filtered score validated by external market leadership and global risk context. The primary signal for trade entry/exit confirmation, position sizing, and determining true conviction. A. High-Conviction Alignment (The Trade Confirmation) High-conviction trades occur when the two lines move in synchronized fashion, with the Self-Confirming Line leading or sustaining a level significantly higher than the Raw Line. Example: High-Conviction Long Entry: Raw Line Fires: Your local chart begins to move up, and the Raw Line (local momentum) breaks above the centerline. This is your initial setup alert. Self-Confirming Line Confirms: The Self-Confirming Line immediately follows, not just crossing the centerline, but often exceeding the Raw Line's initial height. This powerful action confirms the Mag 7 leaders are providing a strong synchronized push (M7s signal likely fired, confirming a Hot Period). Action: This is the ideal moment for a confirmed trade entry, allowing for larger position sizing and a higher expectation of follow-through. B. Cautionary Divergence (The Risk Filter) Divergence occurs when the two lines fail to agree, signaling a disconnect between the local price action and the systemic market support. Example: Bearish Trap Divergence (A Long Warning): Raw Line Fires Strongly: Your local asset is rocketing up, and the Raw Line spikes to an extreme high (e.g., +80). Self-Confirming Line Lags: Despite the local spike, the Self-Confirming Line remains flat, moves only slightly, or—critically—starts declining. Interpretation: This is a severe warning. The local spike is likely a short-term liquidity event. The other six Mag 7 leaders are not confirming this move, or the DXY is suddenly acting as a Headwind. The system is telling you: "The market is not buying this move." Action: Avoid entering long, or significantly reduce position size. This pattern often precedes a sharp reversal or a failed breakout. Part IV: Deep Dive into Setting Customization – Adapting to Your Asset 1. AAI Sentiment Weight (% - Balance Slider) This controls the balance of importance between the local chart's internal momentum and the external indices' input. Focusing on Individual Stock Volatility (TSLA, NVDA): Goal: Focus primarily on the local chart's own volatile swings, using the external data as a soft, contextual filter. Action: Increase the AAI Sentiment Weight (e.g., 70-80%). This forces the Self-Confirming Line to closely track the Raw AAI Line. Trading Stable, High-Cap Leaders (AAPL, MSFT): Goal: Demand strong external validation for every signal. Ensure that movement is overwhelmingly validated by the other Mag 7 members. Action: Decrease the AAI Sentiment Weight (e.g., 20-30%). The Self-Confirming Line becomes heavily influenced by the Mag 7 Basket Momentum Score. 2. Individual Stock MA Weight (% - Basket Importance) This setting determines the proportional importance of the Mag 7 basket score within the total external component of the calculation. High Weight: When trading one of the Mag 7 stocks that is highly sensitive to the overall basket flow. This ensures signals fire with high conviction only when the leadership stocks are aligned. Lower Weight: When focusing on stock-specific news events that temporarily decouple one stock from the other six. The Mag 7 momentum will still be measured, but its influence on the Self-Confirming Line will be significantly reduced, allowing the local momentum to be more dominant in the final validated score. Part V: Execution and Auxiliary Tools 1. The Dynamic Strike Price Line This line is calculated as a function of the current Self-Confirming Line's magnitude and the user-defined Target Price Multiplier (%). It does not represent a static resistance level, but rather a dynamic projection of where price should travel given the current level of confirmed, systemic momentum. 2. Adaptive Brightness Range Lines (Dynamic Support/Resistance) These dynamic support and resistance zones are derived from recent high-volume pivots and short-term volatility envelopes. Their key innovation is a visual cue tied to volatility: the closer the price approaches a range boundary, the brighter the line becomes. This provides an immediate visual warning that the asset is entering a high-probability reversal, consolidation, or test zone. 3. PoS Trend Projection (Probability of Success Filter) This is a forward-looking trend line that is governed by the internal Probability of Success (PoS) filter. The line uses the validated sentiment to project the likely path of price over the next few bars. The line disappears when conditions are uncertain or contradictory. Part VI: Screen Clarity and Toggling Features for Focused Analysis The indicator provides granular visibility controls to ensure the raw price action is never obscured. You can toggle off auxiliary features to allow the trader to focus solely on the primary instrument and the final, most crucial signal: the Self-Confirming Line. Achieving a Minimalist View by Toggling Features Off For a clean chart, you can disable the following: Show Adaptive Brightness Range Lines: Removes the dynamic support/resistance lines. Show Strike Price Line: Removes the dynamic take-profit/invalidation line. Show PoS Trend Projection: Removes the forward-looking trend line. Show M7 Confirmation Labels: Removes the M7s, M7m, and M7w labels that appear directly above or below the price candles. By toggling these off, you rely purely on the magnitude of the Self-Confirming Line in the bottom pane for your M7 confirmation. This leaves you with a focused view of the price action and the Self-Confirming Line, which is the final, validated, systemic conviction score. This is a request for access script. Always trade with risk control, do your own research, exercise market awareness.
Chỉ báo Pine Script®
của Magnificent_Indicators
Reversals & Pullbacks PRO🚀 Reversals & Pullbacks Pro — Predict Market Turning Points with Precision Stop chasing trends — start anticipating them. The Reversals & Pullbacks Pro indicator identifies high-probability reversal and pullback zones before they happen, using advanced mean reversion logic and momentum change signals. What it does: ✅ Detects major reversals and minor pullbacks in real time ✅ Uses dynamic mean reversion algorithms to spot over-extended price moves ✅ Highlights premium entry zones for counter-trend and trend-reversal setups ✅ Works across many markets — Designed for Forex and Indices but can be used on Crypto ✅ Clean visuals with smart alerts (no repainting after candle close) 💡 Perfect for: Swing traders, scalpers, and day traders who want to catch price turning points before everyone else. ⏱️ Don’t react — predict. Upgrade your trading with Reversals & Pullback Pro and trade market reversals like a PRO!
Chỉ báo Pine Script®
của Sensaitrading
Final Scalping Strategy - RELAXED ENTRY, jangan gopoh braderEMA Scalping System (MTF) Guide (1HR direction, 15 min entry) Objective To capture small, consistent profits by entering trades when 15-minute momentum aligns with the 1-hour trend. Trades are executed only during high-liquidity London and New York sessions to increase the probability of execution and success. Strategy Setup Chart Timeframe (Execution): 15-Minute (M15). Trend Filter (HTF): 1-Hour (H1) chart data is used for the long-term EMA. Long-Term Trend Filter: 50-Period EMA (based on H1 data). Short-Term Momentum Signal: 20-Period EMA (based on M15 data). Risk Metric: 14-period ATR for dynamic Stop Loss calculation. ✅ Trading Rules🟢 Long (Buy) Entry Conditions Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions. HTF Trend: Current price must be above the 1-Hour EMA 50. Momentum Signal: Price crosses above the 15-Minute EMA 20. Confirmation: The bar immediately following the crossover must close above the 15-Minute EMA 20. Ent ry: A market order is executed on the close of the confirmation candle. 🔴 Short (Sell) Entry Conditions Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions. HTF Trend: Current price must be below the 1-Hour EMA 50. Momentum Signal: Price crosses below the 15-Minute EMA 20. Confirmation: The bar immediately following the crossover must close below the 15-Minute EMA 20. Entry: A market order is executed on the close of the confirmation candle. 🛑 Trade Management & Exits Stop Loss (SL): Placed dynamically at 2.0 times the 14-period ATR distance from the entry candle's low (for Buys) or high (for Sells). Take Profit (TP): Placed dynamically to achieve a 1.5 Risk-Reward Ratio (RR) (TP distance = 1.5 x SL d istance). 📊 On-Chart Visuals Detailed Labels: A box appears on the entry bar showing the action, SL/TP prices, Risk/Reward in Pips, and the exact R:R ratio. Horizontal Lines: Dashed lines display the calculated SL (Red) and TP (Green) levels while the trade is active. Background: The chart background is shaded to highlight the active London and New York tradi ng sessions.
Chiến lược Pine Script®
của hushedDiamond97573
3D Cube Projection - √3 Diagonal3D Cube Projection - √3 Diagonal OVERVIEW This indicator implements Bradley F. Cowan's cube projection methodology from his "Four Dimensional Stock Market Structures & Cycles" work. It visualizes a 3D cube projected onto the 2D price-time chart, using the √3 (square root of 3) body diagonal as the primary analytical tool for identifying market structure and potential cycle termination points. METHODOLOGY The cube is constructed by selecting two pivot points (A and E) which form the body diagonal - the longest diagonal running through the cube's interior from one corner to the diagonally opposite corner. According to Cowan's geometric approach: - Point A = Starting pivot (low or high) - Point E = Ending pivot (opposite extreme) - Body Diagonal (A→E) = √3 × cube side length - Face Diagonal (A→C) = √2 × cube side length The script calculates the cube dimensions by: 1. Measuring the total price range from A to E 2. Dividing by √3 to determine the cube side length in price 3. Distributing the time component across three equal segments 4. Projecting the 3D structure onto the 2D chart plane FEATURES ✓ Interactive date selection for points A and E ✓ Automatic UPLEG/DOWNLEG detection ✓ All 8 cube vertices labeled (A-H) ✓ All 6 cube faces with independent color/opacity controls ✓ √3 body diagonal (red line by default) ✓ √2 face diagonal (orange line by default) ✓ Customizable cube lines, fills, and labels ✓ Information table showing key measurements VISUAL CUSTOMIZATION - Front & Back faces: Box fills for the two square faces - Side faces: Left and right vertical faces - Top & Bottom faces: Horizontal connecting faces - Each group has independent color and opacity settings - Label size and transparency fully adjustable - Cube line styles (solid, dashed, dotted) for depth perception IMPORTANT LIMITATIONS & DISCLOSURES This indicator works within the inherent constraints of projecting 3D geometry onto a 2D price-time chart: ⚠️ VISUAL APPROXIMATION: This is a visual projection tool, not a mathematically perfect 3D cube. True 3D geometry cannot be accurately represented on a 2D plane without distortion. ⚠️ TIME DISTRIBUTION: The script divides the time axis into three equal segments (total bars ÷ 3) for practical visualization. This is an approximation that prioritizes visual coherence over strict geometric accuracy. ⚠️ UNIT SCALING: Price and time use different units (dollars vs. bars), making true isometric projection impossible. The cube appears proportional on screen but the dimensions are not directly comparable. ⚠️ 2D CONSTRAINT: We only have X (time) and Y (price) axes available. The Z-axis (depth) is simulated through visual projection techniques (line styles, shading). INTENDED USE This tool is designed for traders and analysts who study Bradley Cowan's geometric market analysis methods. It helps visualize: - Market structure in geometric terms - Potential support/resistance zones at cube edges - Cycle timing relationships using √2 and √3 ratios - Harmonic price-time relationships The cube projection should be used as one component of a comprehensive analysis approach, combined with other technical tools and fundamental analysis. MATHEMATICAL FOUNDATION While the visual representation involves approximations, the core √3 relationship is mathematically sound: - For any cube, the body diagonal = √3 × side length - The face diagonal = √2 × side length - These ratios are preserved in the price dimension calculations HOW TO USE 1. Select your starting date (Point A) - typically a significant low or high 2. Select your ending date (Point E) - the opposite extreme pivot 3. The indicator automatically constructs the cube geometry 4. Analyze the cube edges, diagonals, and faces for market structure insights 5. Adjust colors and opacity to suit your chart aesthetic TECHNICAL NOTES - Works on all timeframes and instruments - Best viewed on charts with sufficient historical data - Cube updates in real-time as new bars form - Range selection is marked with vertical lines and shading - Calculator table shows Point A, Point E, side length, and bar measurements ACKNOWLEDGMENT This indicator is based on the geometric market analysis principles developed by Bradley F. Cowan. Users are encouraged to study Cowan's original works for deeper understanding of the theoretical framework. DISCLAIMER This indicator is for educational and analytical purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own research and risk management before making trading decisions.
Chỉ báo Pine Script®
của geneclash
EPS Estimate Profile [SS]This is the EPS Estimate Profile indicator. What it does This indicator Collects all EPS estimates over the course of a lookback and BINS them (sorts them into 10 equal sized categories). Analyzes the returns from earnings releases based on the EPS estimate and the reaction. Calculates the number of bullish vs bearish responses that transpired based on the EPS estimate profile. Calculates the expected Open to High and Open to Low ATR based on the EPS estimate using regression. Toggle to actual EPS release to compare once earnings results are released. How to Use it This indicator can be used to gain insight into whether an earnings release will be received bullishly or bearishly based on the company's EPS estimate. The indicator allows you to see all historic estimates and how the market generally responded to those estimates, as well as a breakdown of how many times estimates in those ranges produced a bullish response or a bearish response to earnings. Examples Let's look at some examples: Here is MSFT. MSFT's last EPS estimate was 3.672. If we consult the table, we can see the average return associated with this estimate range is -4%. Now let's flip to the Daily timeframe and take a look: MSFT ended the day red and continued to sell into the coming days. Let's look at another example: MCDs. Last earnings estimate was 3.327, putting it at the top of the range with an average positive return of 4%. Let's look on the daily: We can see that the earnings had a huge, bullish effect on MCD, despite them coming in below their estimates. If we toggle the indicator to "Actual" EPS release, to see the profile of Actual earnings releases vs response, we get this: Since MCD under-performed, they were still at the top of the profile; but, we can see that the expected returns are more muted now, though still positive. And indeed, the reaction was still positive. Distinguishing % Bullish/Bearish to Avg Returns You will see the profile table displays both the average returns and the percent of bullish/bearish responses. In some cases, you will see that, despite a negative return, the profile reveals more bullish reactions than bearish. What does this mean? It means, despite there being more bullish responses, when bearish responses happen they tend to be more severe and profound, vs bullish responses likely are muted. This can alert you to potential downside risk and help you manage risk accordingly should you elect to trade the earnings release. ATR Prediction You will notice in the bottom right corner of the screen a secondary table that lists the predicted open to high ATR and open to low ATR. This is done using RAW EPS estimates (or raw ACTUAL estimates depending on which you select) and performing a regression to determine the expected ATR. This is only for reference, the analysis should focus around the historic profile of return estimates and actual return values. IMPORTANT NOTE: You MUST be on the Monthly timeframe to use this. Otherwise, you will get an error. If, on certain tickers with a huge history, such as MSFT and XOM or OXY, you get an error, you can simply reduce the lookback length to 80 and this will resolve the issue. Conclusion And that's the indicator! A blend of some light math and fundamentals! A real joy honestly. Hope you enjoy it!
Chỉ báo Pine Script®
của Steversteves
Moving Average ProjectionDisplays 2-5 moving averages (solid lines) and projects their future trajectory (dashed lines) based on current trend momentum. This helps you anticipate where key MAs are heading and identify potential future support/resistance levels. Important: Projections show where MAs would move IF the current trend continues—they're not predictions. Market conditions change, so use projections as planning tools, not trading signals. General Settings Number of MAs (2-5) controls how many moving averages display on your chart. Start with 2-3 to avoid clutter. Projection Bars (1-100) determines how far into the future to project—use 10-20 for intraday charts and 20-40 for daily charts. Lookback for Slope (2-100) sets the number of bars used to calculate trend slope, where shorter lookbacks are more responsive and longer ones are smoother. The default of 20 works well for most situations. Individual MA Settings (MA 1-5) Each MA has four settings: Length sets the period for the MA (common values are 9, 20, 50, 100, and 200), Type lets you choose between SMA, EMA, WMA, HMA, VWMA, or RMA (EMA is most popular), Color sets the historical MA line color, and Projection Color sets the projected line color (usually a lighter or transparent version of the main color). MA Types Quick Reference: EMA is most popular and responsive to recent prices. SMA gives equal weight to all periods and is the smoothest. HMA is very responsive with low lag. VWMA incorporates volume data. Quick Setup Examples Day Trading: 3 MAs (9/21/50 EMA), 10-15 projection bars, 10-15 lookback Swing Trading: 2 MAs (50/200 EMA), 20-30 projection bars, 20 lookback Scalping: 2 MAs (9/20 EMA), 5-10 projection bars, 5-10 lookback How to Use Trend Identification: An uptrend shows price above rising MAs with projections pointing up. A downtrend shows price below falling MAs with projections pointing down. Consolidation appears as flat MAs with horizontal projections. Support & Resistance: Rising MA projections act as future dynamic support levels, while falling MA projections act as future dynamic resistance levels. Anticipating Changes: Watch for projected MA crossovers before they happen. When projections converge, expect volatility or consolidation. Steep projections suggest unsustainable trends, so be cautious. Flat projections indicate ranging markets. Trade Planning: Check the current trend using MA alignment, then look at projections to gauge trend continuation likelihood. Use projected MA levels for potential targets or stop placement. Important Tips When Projections Work Best: Projections are most reliable in stable trending markets with consistent momentum, low volatility environments, and away from major news events. When to Be Cautious: Use caution during high volatility or choppy price action, around major economic releases, when projections show extreme or parabolic angles, and during trend transitions. Combine With Other Analysis: Don't trade projections alone. Use them alongside price action, volume, support and resistance levels, and other indicators for confirmation. Best Practices Start with 2-3 MAs to avoid chart clutter. Match your projection and lookback bars to your trading timeframe. Use consistent color schemes for quick interpretation. Adjust settings as market conditions change. Always use proper risk management—projections are planning tools, not guarantees. Troubleshooting Projections not showing: Check that Projection Bars > 0 and you're viewing the most recent bar Chart too cluttered: Reduce number of MAs or increase projection color transparency Projections too volatile: Increase lookback bars or switch to EMA/SMA from HMA Can't see certain MAs: Verify "Number of MAs" setting includes them (MA 3 won't show if set to 2)
Chỉ báo Pine Script®
của LeafAlgo
Order Blocks with Buy/Sell Signals (3M Capital) The optimal timeframes for trading with the "Order Blocks with Signals" indicator (a Pine Script tool that identifies swing-based pivot points, projects order block zones using percentile calculations from historical price and bar deltas, and generates buy/sell signals at new pivots) depend on factors like the asset class (e.g., forex, crypto, stocks), market volatility, and the trader's style (scalping, day trading, or swing trading). The indicator's core logic relies on a swing length of 20 periods to detect highs/lows, which covers varying real-world time spans depending on the chart timeframe—e.g., ~1.7 hours on a 5-minute chart, ~20 hours on a 1-hour chart, or ~20 days on a daily chart. This makes it versatile, but it performs best where swings are meaningful and noise is manageable.Based on analysis of similar order block indicators and strategies on TradingView, here's a breakdown of recommended timeframes:1. Short-Term Trading (Scalping or Quick Intraday Trades) Recommended Timeframes: 5-minute (M5) to 30-minute (M30) charts. Why It Works Well: These capture short-term momentum shifts and frequent signals from minor swings. The zone projections (based on the 75th percentile of past deltas by default) can forecast quick price extensions, allowing for rapid entries on buy/sell labels (e.g., enter long on a "Buy" signal at a bullish pivot, targeting the zone's projected end). Use tight stops above/below the pivot and aim for 1:1 to 1:2 risk-reward. Backtesting on M30 has shown good accuracy for order block detection in pairs like EUR/USD. Tips for This Indicator: If signals feel noisy, increase the swing length (e.g., to 30-50) to filter smaller swings, or enable "No Overlapping Zones" to avoid clutter. Avoid very low TFs like 1-minute if volatility is high, as percentile-based zones may overproject. 2. Medium-Term Trading (Day Trading or Short Swing Trades)Recommended Timeframes: 1-hour (H1) to 4-hour (H4) charts. Why It Works Well: These strike a balance between reliability and frequency. Order blocks on H1/H4 tend to represent institutional interest (e.g., areas of limit order accumulation), making signals more predictive. The indicator's forward-projecting zones can anticipate moves over several hours to a day, ideal for holding trades through sessions. Examples from gold (XAU/USD) and forex pairs show strong performance here, with H4 often used to spot liquidity zones tied to order blocks. 3. Long-Term Trading (Swing or Position Trades)Recommended Timeframes: Daily (D1) or higher (e.g., weekly). Why It Works Well: Higher TFs reduce false signals from noise, and the zones project significant moves (e.g., weeks to months). This aligns with the indicator's percentile approach, which draws from up to 1,000 past reversals for robust stats. Signals are rarer but higher-probability, suitable for trend-following. Tips for This Indicator: Enable "Show Only Last Zone" for cleaner charts. Normalization (if enabled) helps with percentage-based assets like crypto. General Strategy Tips Across TimeframesMulti-Timeframe Approach (Highly Recommended): Identify key order blocks on a higher timeframe (e.g., H4 or D1 for structure) and switch to a lower timeframe (e.g., M15 or H1) for precise entries on signals. This filters noise and aligns with smart money concepts—refine broad zones by checking for breaks of structure or fair value gaps on the lower TF. The indicator isn't inherently multi-timeframe (MTF), but it can be applied manually across charts or modified to incorporate MTF data if needed. Asset Considerations: For volatile markets like crypto (e.g., BTC/USDT), favor M5-H1 to catch quick reversals. For forex/commodities, H1-H4 excels due to session-based liquidity. Customization and Testing: Adjust the zone percentile (default 75) lower for tighter zones on short TFs or higher for expansive ones on long TFs. Always backtest on historical data for the specific asset—e.g., the indicator's signals have shown effectiveness on M15-M30 for intraday setups. Risk Management: Trade in the direction of the overall trend; use the projected zone end as a take-profit target, and place stops beyond the pivot price. This guidance is drawn from established order block trading practices, where higher TFs provide consistency while lower ones offer timing.
Chỉ báo Pine Script®
của CapitalHoldings3M
Binary Options 1 Minute Signals [TradingFinder] 1 Min Strategy🔵 Introduction At first sight, price movement in binary options appears random, but behind every move lies a clear logic of liquidity and market imbalance. The market is always driven by the hunt for liquidity and the continuous rebalancing that takes place around Fair Value Gaps (FVGs) and Order Blocks (OBs). These zones are where institutional activity is concentrated and where Smart Money creates the most significant reactions. When price approaches a key liquidity zone, it often performs a Liquidity Sweep to capture orders resting around previous highs or lows. This move usually presents itself as a False Breakout. Price briefly breaks a level to trigger stop losses and collect liquidity, then quickly reverses direction. Understanding this false breakout behavior is essential for identifying high probability reversals in binary options trading. After the liquidity sweep, price typically retraces into a Fair Value Gap or Order Block, where the market seeks balance and new orders are introduced. This interaction between liquidity, imbalance, and institutional order flow forms the core logic of every Smart Money trading model. By focusing on Liquidity Sweeps, False Breakouts, and the structure of FVGs and OBs, traders can read the true intention behind price movements. What seems like random volatility becomes a structured cycle of liquidity collection and reaction, offering clear opportunities for precision-based binary entries. Bullish Setup : Bearish Setup : 🔵 How to Use This indicator works within the Smart Money framework and focuses on the connection between Liquidity Sweep, False Breakout, Fair Value Gap (FVG) and Order Block (OB). It is created to help traders identify the moment when the market finishes collecting liquidity and begins to show signs of reversal. The indicator studies how price behaves around zones where liquidity is concentrated, such as previous highs and lows or areas with visible inefficiency. When a clear reaction forms and a valid candle pattern confirms the shift in direction, the indicator generates a signal that represents the activity of Smart Money. This tool does not respond to random volatility or noise. It waits for structure, liquidity and confirmation to align together before providing an entry. As a result, every signal has a logical base related to institutional order flow rather than ordinary price fluctuations. This approach allows traders to focus only on the movements that reflect true liquidity behavior. 🟣 Long Setup A bullish setup takes place when the market moves downward and reaches a sell-side liquidity zone located below previous swing lows. In this area, price performs a Liquidity Sweep by moving under key levels to trigger stop losses and capture liquidity from trapped sellers. This movement usually appears as a False Breakout because the market breaks below a level for a short moment and then quickly moves back inside the range. Around this zone, a bullish Order Block or Fair Value Gap (FVG) often exists, showing where institutional demand is active. When the indicator detects the presence of liquidity collection together with a valid bullish confirmation candle near an OB or FVG, it creates a Call signal. This marks the moment when Smart Money is shifting from selling pressure to accumulation, and a strong bullish move often follows. For binary entries, the best opportunity usually comes immediately after the confirmation candle closes. The reaction tends to happen quickly because the liquidity grab has completed and new institutional buying pressure is entering the market. This type of setup often provides a clean and precise entry with a high probability of success. 🟣 Short Setup A bearish setup happens when the market rises and enters a buy-side liquidity area above previous highs. Here, the market performs a Liquidity Sweep to trigger stop losses placed above those highs and to absorb liquidity from trapped buyers. This pattern forms what traders recognize as a False Breakout because the price only breaks the level temporarily before reversing in the opposite direction. A bearish Order Block or Fair Value Gap (FVG) often appears around this zone, showing where institutional selling interest exists. Once the liquidity sweep completes and a bearish confirmation candle closes, the indicator produces a Put signal that reflects the shift from buying to selling pressure by Smart Money. This moment often leads to a fast downward reaction as the market rebalances and fills the nearby inefficiency. The most effective entry for binary trading is right after the confirmation candle closes, when the false breakout and liquidity collection are both completed. The price usually reacts sharply as the market transitions from liquidity hunting to a new directional move. This setup represents a structured view of how liquidity drives market cycles and how Smart Money creates precise reversals through controlled imbalance and reaction. 🔵 Settings Time Frame : Defines the timeframe used for analysis. If left blank, the indicator automatically uses the chart’s current timeframe. Swing Period : Determines how many candles are used to identify structural turning points such as swing highs and swing lows. Higher values increase accuracy but reduce the number of signals. Signal Type : Specifies the type of signal generated by the indicator. The option All shows every signal, Main Signal displays only the primary one, and Alternative Signal produces a secondary signal that appears one candle after the main signal for additional confirmation. Candle Pattern : Enables candle pattern logic for reversal confirmation. When active, the indicator issues a signal only when a valid candle formation confirms the market reaction. Candle LookBack Check : Verifies that the last few candles move in the opposite direction of the signal to be generated. This condition acts as a confirmation filter, ensuring that the signal appears only after a clear counter-move in price. Last Candle Direction : Considers the direction of the most recent candle in the analysis. It helps determine whether the final candle moves with or against the current trend. Last Candle Shadow Ratio : Sets the ratio between the last candle’s wick and body to refine confirmation accuracy. Higher values require longer wicks, indicating stronger rejection and a more reliable reversal pattern. 🔵 Conclusion Trading with Smart Money logic means understanding how liquidity moves through the market. Each Liquidity Sweep, False Breakout, Fair Value Gap (FVG) and Order Block (OB) reflects the process of collecting and redistributing orders. This indicator captures that sequence and turns it into precise, structured signals for binary entries. When liquidity is absorbed and a candle confirmation appears, the market reveals its true direction. At that moment, traders can act with confidence, following institutional flow instead of reacting to random price moves. Success with this system comes from patience, confirmation, and a clear reading of liquidity behavior, the core principles behind every Smart Money reversal.
Chỉ báo Pine Script®
của TFlab
Level LinesThis indicator displays levels in close proximity to the current price, enabling users to identify psychological levels on charts that serve as support/resistance zones or key reference points for price action. In the settings, you can customize the number of lines shown above and below the current price, along with the interval size for rendering them. As the price moves higher or lower, the lines dynamically adjust to reflect the most relevant levels. In settings you can fully customize the style of lines (color, width, style) with separate settings available for lines above & below the current price.
Chỉ báo Pine Script®
của outofoptions