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Predictive Candle and Accuracy CoreThis Predictive Candle – Accuracy Core indicator is designed to project the likely direction and size of the next candle based on market microstructure, volatility, momentum, and volume dynamics. It calculates a delta-based volume imbalance, RSI, EMA distances, ATR, and ADX to assess both the strength and trend of the market. The script applies a market regime filter to allow predictions only when trends are strong and aligned, then computes weighted bullish and bearish scores, normalizes them into probabilities, and self-measures its historical accuracy. Using this, it projects the next candle’s body and wicks, color-coded green or red for bullish or bearish, with a confidence percentage label. The projection adjusts dynamically for volatility, ADX strength, and prediction accuracy, providing traders with a quantitative, adaptive visual cue for potential price movement without repainting.
אינדיקטור Pine Script®
מאת ‎chuyguerra‎
GeniusInvest Engulfing CandlesThe Engulfing Candles Indicator is a precision price-action tool designed to highlight true bullish and bearish engulfing patterns directly on the chart — without clutter, repainting, or lag. This indicator automatically detects engulfing candles based on strict candle-body logic, making it ideal for traders who rely on raw price action, market structure, and clean confirmations. • Bullish Engulfing Candles • Current bullish candle fully engulfs the body of the previous bearish candle • Indicates potential upside momentum or reversal • Bearish Engulfing Candles • Current bearish candle fully engulfs the body of the previous bullish candle • Indicates potential downside momentum or reversal This indicator does not guarantee profits and should not be used as a standalone trading system. Always use proper risk management, stop losses, and confluence with market structure.
אינדיקטור Pine Script®
מאת ‎Geniusinvest‎
Core Of My Desire {xqweasdzxcv} Creator's Notes Developer: xqweasdzxcv or x² Current Version: 2.8.3.4 Telegram: t.me For access requests: If anyone wants access to this indicator, then DM me Core Of My Desire - Trading Indicator Documentation Overview Core Of My Desire is a comprehensive trading indicator system engineered for advanced technical analysis across all markets and timeframes, with no dependency on a single asset class, trading style, or market condition. Developed by xqweasdzxcv (x²), the indicator is designed as a unified analytical framework rather than a collection of disconnected tools. It combines multiple analytical methodologies into a single, coherent system, allowing traders to evaluate price action through structure, trend, volume, momentum, and contextual market behavior simultaneously. The system integrates market structure analysis to identify continuation and reversal phases, trend logic to establish directional bias, volume-based sentiment to validate participation, and momentum dynamics to detect acceleration or exhaustion. Supply and demand principles are incorporated to highlight areas of historical imbalance and potential reaction, while adaptive signal generation adjusts responsiveness based on changing market conditions rather than static rules. Sensitivity-based logic allows the indicator to scale between faster, more reactive behavior and slower, confirmation-driven behavior, depending on user calibration. Risk management is not treated as an external concept but is embedded directly into the indicator’s design. Dynamic support and resistance references, projected take-profit structures, re-entry logic, and exhaustion detection are provided to assist with trade planning, position management, and exit decision-making. Signals are designed to function as informational guidance within a broader discretionary process, emphasizing confluence and context over isolated triggers. Core Of My Desire is intended for disciplined traders who understand that no indicator can predict the market. Its purpose is to organize complex market information into a readable, adaptive framework that supports structured analysis, informed execution, and consistent decision-making across varying market environments. Core Philosophy This indicator provides confluence from multiple analytical perspectives, creating a comprehensive framework for market analysis that goes beyond single-dimensional approaches. By synthesizing various technical methodologies into a unified system, it enables traders to identify high-probability setups where multiple analytical paradigms align. The fundamental principle underlying this multi-perspective approach is that when different analytical methods—each operating on distinct mathematical foundations and timeframe sensitivities—simultaneously signal the same directional bias, the probability of a successful trade increases substantially. This convergence of independent analytical streams creates what we call "confluence zones," areas where the market structure suggests a higher degree of consensus across multiple analytical dimensions. Rather than relying on a single indicator family or methodology, this system integrates momentum analysis, trend identification, volatility assessment, and price action structure. Each component contributes unique insights: momentum oscillators reveal the strength and sustainability of price movements, trend filters identify the dominant directional bias across multiple timeframes, volatility metrics help gauge market conditions and position sizing requirements, and structural analysis pinpoints key support and resistance zones where price is likely to react. The synergy between these elements creates a robust analytical framework that adapts to changing market conditions. In trending markets, the trend components provide directional guidance while momentum indicators time entries and exits. During ranging conditions, mean-reversion signals from oscillators take precedence while structural levels define boundaries. Volatility analysis continuously informs risk management parameters, ensuring that position sizing and stop placement remain appropriate for current market dynamics. This holistic approach reduces false signals that often plague single-indicator systems, as a trade setup requires validation from multiple independent sources before execution. The result is a more selective but higher-quality signal generation process that aligns with professional trading principles of patience, discipline, and risk management. This indicator provides confluence from multiple analytical perspectives: • Market structure defines context • Trend determines directional bias • Volume confirms participation • Momentum identifies continuation or exhaustion • Supply and demand highlight reaction zones • Risk management governs execution No single component is intended to be used in isolation. Key Features Adaptive Signal Generation • Primary Buy and Sell signals with adjustable sensitivity • Optional Trend Cloud filter for directional confirmation • Configurable confirmation latency • Strength-based labeling for signal quality Market Structure Analysis • Swing and Internal structure tracking • Dynamic and Manual analysis modes • BOS, CHoCH, and CHoCH+ detection • Equal Highs and Lows identification • Structural labeling (HH, HL, LH, LL) Multi-Timeframe Dashboard • Volume sentiment across 8 timeframes (1m to Daily) • Market state detection (Trending or Ranging) • Volatility awareness • Active position tracking • Trading session identification: • Sydney • Tokyo • London • New York Supply and Demand Zones • Preset configurations: • Standard • Majors • Nearest • Custom • Automatic validation on price interaction • Visual feedback based on zone strength • Progressive fading of invalidated zones • Automatic cleanup for chart performance Risk Management System • Dynamic Support and Resistance bands • Three Take-Profit levels with configurable ratios • Peak Profit alerts for position management • Three-tier Re-Entry signals • Reversal detection near key price areas Technical Analysis Suite • Nine moving average types • Zero-Lag EMA • Fibonacci retracement levels • Fair Value Gaps (FVG) • Multi-timeframe Support and Resistance • Trendline breakout detection • Structure breakout confirmation • Divergence-based tactical signals • Momentum fluctuation detection Visual Customization • Multiple candle coloring modes • Adaptive bands with overbought and oversold markers • Trend Cloud visualization • Optional background coloring • Fully customizable color themes Signal Classification Primary Entry Signals • BUY and SELL labels • Strength tiers: • Buy • Strong Buy • Very Strong Buy • Optional Trend Cloud confirmation • Intended for core trade entries Directional Bias Signals • Up Trend and Down Trend indicators • Macro trend context • Adjustable sensitivity (0.1–20.0) • Optional Heikin Ashi smoothing Reversal Signals • Three intensity levels • Exhaustion and exit indications • Counter-trend opportunity identification Peak Profit Signals • Extreme condition alerts • Trade-aware and position-specific • Designed to protect unrealized gains • Frequently precede reversals Re-Entry Signals • Small arrow markers • Three progressive entry levels • Pullback-based continuation entries • Displayed only during active trades Structure Breakout Signals • Triangle markers • Body-close confirmation logic • Adjustable lookback period (5–50) • Used to confirm decisive breaks Tactical Signals • Divergence-based arrows • Contrarian in nature • Higher risk, higher reward profile Fluctuation Signals • Momentum-based arrows • Volume or Volatility modes • Rapid shift detection • Best suited for scalping conditions Settings Guide Sensitivity • Default: 4.5 • Range: 0.1–20.0 Behavior: • Lower values produce faster signals with increased noise • Higher values reduce signal frequency but improve confirmation Adjustment guidelines: • Excessive false signals → Increase sensitivity • Missed opportunities → Decrease sensitivity Trend Cloud Filter • Multiplier: 4.3 • ATR Length: 27 • Confirmation latency: 2–20 bars (default 5) Purpose: • Enforces trend alignment • Reduces counter-trend signals • Introduces intentional confirmation delay Supply and Demand Presets • Standard: Balanced, suitable for most use cases • Majors: Key levels only, ideal for higher timeframes • Nearest: Recent price focus, optimal for scalping • Custom: Full user-defined control Risk Management (Take-Profit Structure) • TP1: Fixed at 1:1 • TP2 Multiplier: 0.5 (default) • TP3 Multiplier: 1.5 (default) Common configurations: • Conservative: 0.5 / 1.0 • Balanced: 1.0 / 2.0 • Aggressive: 1.5 / 3.0 Performance Notes • High computational complexity • Optimized for 1m–4H timeframes • No repainting on closed candles • Certain signals intentionally wait for confirmation Final Thoughts Core Of My Desire is a professional-grade analytical framework that requires understanding and practice. It's not a "magic button" - it's a sophisticated toolset for serious traders. Your success depends on: Proper calibration for your specific market Understanding what each signal represents Having a solid trading plan Disciplined risk management Continuous learning and adaptation Legal Disclaimer Educational and informational purposes only. Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. You acknowledge: You trade at your own risk No profitability guarantees Never risk more than you can afford to lose Risk management is your responsibility This is a tool, not financial advice
אינדיקטור Pine Script®
מאת ‎xqweasdzxcv‎
cephxs / New X Opening Gaps [Pro +]NWOG & NDOG - OPENING GAPS Smart Gap Detection with Intelligent Filtering Visualizes New Week Opening Gaps (NWOGs) and New Day Opening Gaps (NDOGs) with built-in intelligence to show you only what matters. No more cluttered charts with gaps from 3 months ago that price will never revisit. THE PROBLEM WITH GAP INDICATORS Most gap indicators dump every single gap on your chart and call it a day. You end up with 50 boxes cluttering your screen, half of which are miles away from current price and the other half are so tiny they're basically noise. This one's different and I explain why below. SMART FILTERING (THE GOOD STUFF) Two filters work together to keep your chart clean: Size Filter: Uses ATR-based detection to filter out insignificant gaps, dynamic with less volatile time periods - Filter None: Show everything (if you really want chaos) - Filter Insignificant: Hide the micro-gaps that don't matter - Juicy Gaps Only: Only show gaps worth paying attention to Distance Filter: Only displays gaps within range of current price - Really Close: 0.5 ATR - tight focus on immediate levels - Balanced: 1 ATR - sweet spot for most traders - Slightly Far: 3 ATR - wider view for swing traders Cleanup Interval: Controls how quickly out-of-range gaps disappear - Immediately: Gaps hide/show every bar as price moves - 5 / 15 / 30 Minutes: Gaps only update visibility at interval boundaries - reduces visual noise during choppy price action The magic: gaps appear and disappear as price moves toward or away from them. Old gaps that price has left behind fade out, and gaps that become relevant fade back in. Use delayed cleanup intervals if you want gaps to "stick around" a bit longer before disappearing. GAP TYPES EXPLAINED New Week Opening Gaps (NWOGs): The gap between Friday's close and Monday's open. These form over the weekend when markets are closed and often act as significant support/resistance. Two classifications: Void Gaps: Gap direction aligns with Friday's candle direction (continuation) Overlap Gaps: Gap direction conflicts with Friday's candle (potential reversal) New Day Opening Gaps (NDOGs): The gap between one day's close and the next day's open. Smaller but frequent - useful for intraday traders looking for fill targets. FEATURES Automatic Week/Day Detection: Handles forex (17:00 ET open) and futures (18:00 ET open) correctly DST-Aware: Uses New York timezone with automatic daylight saving adjustments 50% Equilibrium Line: Marks the midpoint of each gap - key level for entries Days Ago Labels: Shows how old each gap is at a glance Extension Modes: Choose between live-extending boxes or fixed-width boxes Separate Color Schemes: Different colors for void vs overlap NWOGs, bullish vs bearish NDOGs INPUTS NWOG Display Show NWOGs: Master toggle Extension Mode: "Extend Live" or "Extend to Week Close" Maximum NWOGs: Limit displayed gaps (1-50) Show Void/Overlap Gaps: Toggle each type independently Show NWOG Labels: Toggle gap labels NDOG Display Show NDOGs: Master toggle Extension Mode: "Extend Live" or "Extend to Day Close" Maximum NDOGs: Limit displayed gaps (1-50) Show NDOG Labels: Toggle gap labels Filter Settings Size Filter: Filter None / Filter Insignificant / Juicy Gaps Only Only Show Near Price: Enable/disable distance filtering Distance Filter: Really Close / Balanced / Slightly Far Cleanup Interval: Immediately / 5 Minutes / 15 Minutes / 30 Minutes - controls how often gaps update visibility ATR Period: Period for ATR calculation (default: 14) Right Edge Offset: How many bars ahead boxes extend Styling Box Transparency: Fill and border opacity Midline Style: Solid / Dotted / Dashed Label Style: Simple ("NWOG, 5d ago") or Descriptive ("NWOG (Void Bull), 5d ago") Label Size: Tiny / Small / Normal / Large RECOMMENDED SETTINGS For intraday (1m-15m): Size Filter: Filter Insignificant Distance Filter: Really Close or Balanced Show NDOGs: On Maximum NDOGs: 5-10 For swing trading (1H-4H): Size Filter: Juicy Gaps Only Distance Filter: Balanced or Slightly Far Show NWOGs: On Maximum NWOGs: 10-20 TIMEFRAME NOTES Works on daily timeframe and below. Above daily, the indicator disables itself since NWOG/NDOG gap detection requires daily open/close data. ASSET SUPPORT Automatically handles different market open times: Forex: Week opens Sunday 17:00 ET, closes Friday 17:00 ET Futures: Week opens Sunday 18:00 ET, closes Friday 16:15 ET Stocks/Other: Uses session-based detection FAQ Why do gaps appear and disappear? That's the distance filter working. As price moves, gaps that were far away become relevant and appear. Gaps that price leaves behind disappear. This keeps your chart focused on actionable levels. What's the difference between void and overlap gaps? Void gaps continue Friday's direction (trend continuation). Overlap gaps conflict with Friday's direction (potential reversal setup). Different traders prefer different types. Why can't I see any gaps? Check your filter settings. "Juicy Gaps Only" with "Really Close" distance filter is very selective. Try "Filter Insignificant" with "Balanced" for more gaps. DISCLAIMER This indicator is for educational purposes only. Opening gaps are one tool among many - they don't guarantee fills or reversals. Always use proper risk management and never trade based on a single indicator. Past gap fills don't guarantee future performance. Do your own analysis. CHANGELOG Pro +: Added smart size/distance filtering, void/overlap classification, NDOG support, DST-aware timezone handling Base: Initial NWOG visualization Made with ❤️ by fstarlabs
אינדיקטור Pine Script®
מאת ‎fstarcapital‎
Asset Drift ModelThis Asset Drift Model is a statistical tool designed to detect whether an asset exhibits a systematic directional tendency in its historical returns. Unlike traditional momentum indicators that react to price movements, this indicator performs a formal hypothesis test to determine if the observed drift is statistically significant, economically meaningful, and structurally stable across time. The result is a classification that helps traders understand whether historical evidence supports a directional bias in the asset. The core question the indicator answers is simple: Has this asset shown a reliable tendency to move in one direction over the past three years, and is that tendency strong enough to matter? What is drift and why does it matter In financial economics, drift refers to the expected rate of return of an asset over time. The concept originates from the geometric Brownian motion model, which describes asset prices as following a random walk with an added drift component (Black and Scholes, 1973). If drift is zero, price movements are purely random. If drift is positive, the asset tends to appreciate over time. If negative, it tends to depreciate. The existence of drift has profound implications for trading strategy. Eugene Fama's Efficient Market Hypothesis (Fama, 1970) suggests that in efficient markets, risk-adjusted drift should be minimal because prices already reflect all available information. However, decades of empirical research have documented persistent anomalies. Jegadeesh and Titman (1993) demonstrated that stocks with positive past returns continue to outperform, a phenomenon known as momentum. DeBondt and Thaler (1985) found evidence of long-term mean reversion. These findings suggest that drift is not constant and can vary across assets and time periods. For practitioners, understanding drift is fundamental. A positive drift implies that long positions have a statistical edge over time. A negative drift suggests short positions may be advantageous. No detectable drift means the asset behaves more like a random walk, where directional strategies have no inherent advantage. How professionals use drift analysis Institutional investors and hedge funds have long incorporated drift analysis into their systematic strategies. Quantitative funds typically estimate drift as part of their alpha generation process, using it to tilt portfolios toward assets with favorable expected returns (Grinold and Kahn, 2000). The challenge lies not in calculating drift but in determining whether observed drift is genuine or merely statistical noise. A naive approach might conclude that any positive average return indicates positive drift. However, financial returns are noisy, and short samples can produce misleading estimates. This is why professional quants rely on formal statistical inference. The standard approach involves testing the null hypothesis that expected returns equal zero against the alternative that they differ from zero. The test statistic is typically a t-ratio: the sample mean divided by its standard error. However, financial returns often exhibit serial correlation and heteroskedasticity, which invalidate simple standard errors. To address this, practitioners use heteroskedasticity and autocorrelation consistent standard errors, commonly known as HAC or Newey-West standard errors (Newey and West, 1987). Beyond statistical significance, professional investors also consider economic significance. A statistically significant drift of 0.5 percent annually may not justify trading costs. Conversely, a large drift that fails to reach statistical significance due to high volatility may still inform portfolio construction. The most robust conclusions require both statistical and economic thresholds to be met. Methodology The Asset Drift Model implements a rigorous inference framework designed to minimize false positives while detecting genuine drift. Return calculation The indicator uses logarithmic returns over non-overlapping 60-day periods. Non-overlapping returns are essential because overlapping returns introduce artificial autocorrelation that biases variance estimates (Richardson and Stock, 1989). Using 60-day horizons rather than daily returns reduces noise and captures medium-term drift relevant for position traders. The sample window spans 756 trading days, approximately three years of data. This provides 12 independent observations for the full sample and 6 observations per half-sample for structural stability testing. Statistical inference The indicator calculates the t-statistic for the null hypothesis that mean returns equal zero. To account for potential residual autocorrelation, it applies a simplified HAC correction with one lag, appropriate for non-overlapping returns where autocorrelation is minimal by construction. Statistical significance requires the absolute t-statistic to exceed 2.0, corresponding to approximately 95 percent confidence. This threshold follows conventional practice in financial econometrics (Campbell, Lo, and MacKinlay, 1997). Power analysis A critical but often overlooked aspect of hypothesis testing is statistical power: the probability of detecting drift when it exists. With small samples, even substantial drift may fail to reach significance due to high standard errors. The indicator calculates the minimum detectable effect at 95 percent confidence and requires observed drift to exceed this threshold. This prevents classifying assets as having no drift when the test simply lacks power to detect it. Robustness checks The indicator applies multiple robustness checks before classifying drift as genuine. First, the sign test examines whether the proportion of positive returns differs significantly from 50 percent. This non-parametric test is robust to distributional assumptions and verifies that the mean is not driven by outliers. Second, mean-median agreement ensures that the mean and median returns share the same sign. Divergence indicates skewness that could distort inference. Third, structural stability splits the sample into two halves and requires consistent signs of both means and t-statistics across sub-periods. This addresses the concern that drift may be an artifact of a specific regime rather than a persistent characteristic (Andrews, 1993). Fourth, the variance ratio test detects mean-reverting behavior. Lo and MacKinlay (1988) showed that if returns follow a random walk, the variance of multi-period returns should scale linearly with the horizon. A variance ratio significantly below one indicates mean reversion, which contradicts persistent drift. The indicator blocks drift classification when significant mean reversion is detected. Classification system Based on these tests, the indicator classifies assets into three categories. Strong evidence indicates that all criteria are met: statistical significance, economic significance (at least 3 percent annualized drift), adequate power, and all robustness checks pass. This classification suggests the asset has exhibited reliable directional tendency that is both statistically robust and economically meaningful. Weak evidence indicates statistical significance without economic significance. The drift is detectable but small, typically below 3 percent annually. Such assets may still have directional tendency but the magnitude may not justify concentrated positioning. No evidence indicates insufficient statistical support for drift. This does not prove the asset is driftless; it means the available data cannot distinguish drift from random variation. The indicator provides the specific reason for rejection, such as failed power analysis, inconsistent sub-samples, or detected mean reversion. Dashboard explanation The dashboard displays all relevant statistics for transparency. Classification shows the current drift assessment: Positive Drift, Negative Drift, Positive (weak), Negative (weak), or No Drift. Evidence indicates the strength of evidence: Strong, Weak, or None, with the specific reason for rejection if applicable. Inference shows whether the sample is sufficient for analysis. Blocked indicates fewer than 10 observations. Heuristic indicates 10 to 19 observations, where asymptotic approximations are less reliable. Allowed indicates 20 or more observations with reliable inference. The t-statistics for full sample and both half-samples show the test statistics and sample sizes. Double asterisks denote significance at the 5 percent level. Power displays OK if observed drift exceeds the minimum detectable effect, or shows the MDE threshold if power is insufficient. Sign Test shows the z-statistic for the proportion test. An asterisk indicates significance at 10 percent. Mean equals Median indicates agreement between central tendency measures. Struct(m) shows structural stability of means across half-samples, including the standardized level deviation. Struct(t) shows whether t-statistics have consistent signs across half-samples. VR Test shows the variance ratio and its z-statistic. An asterisk indicates the ratio differs significantly from one. Econ. Sig. indicates whether drift exceeds the 3 percent annual threshold. Drift (ann.) shows the annualized drift estimate. Regime indicates whether the asset exhibits mean-reverting behavior based on the variance ratio test. Practical applications for traders For discretionary traders, the indicator provides a quantitative foundation for directional bias decisions. Rather than relying on intuition or simple price trends, traders can assess whether historical evidence supports their directional thesis. For systematic traders, the indicator can serve as a regime filter. Trend-following strategies may perform better on assets with detectable positive drift, while mean-reversion strategies may suit assets where drift is absent or the variance ratio indicates mean reversion. For portfolio construction, drift analysis helps identify assets where long-only exposure has historical justification versus assets requiring more balanced or tactical positioning. Limitations This indicator performs retrospective analysis and does not predict future returns. Past drift does not guarantee future drift. Markets evolve, regimes change, and historical patterns may not persist. The three-year sample window captures medium-term tendencies but may miss shorter regime changes or longer structural shifts. The 60-day return horizon suits position traders but may not reflect intraday or weekly dynamics. Small samples yield heuristic rather than statistically robust results. The indicator flags such cases but users should interpret them with appropriate caution. References Andrews, D.W.K. (1993) Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4). Black, F. and Scholes, M. (1973) The pricing of options and corporate liabilities. Journal of Political Economy, 81(3). Campbell, J.Y., Lo, A.W. and MacKinlay, A.C. (1997) The econometrics of financial markets. Princeton: Princeton University Press. DeBondt, W.F.M. and Thaler, R. (1985) Does the stock market overreact? Journal of Finance, 40(3). Fama, E.F. (1970) Efficient capital markets: a review of theory and empirical work. Journal of Finance, 25(2). Grinold, R.C. and Kahn, R.N. (2000) Active portfolio management. 2nd ed. New York: McGraw-Hill. Jegadeesh, N. and Titman, S. (1993) Returns to buying winners and selling losers. Journal of Finance, 48(1). Lo, A.W. and MacKinlay, A.C. (1988) Stock market prices do not follow random walks. Review of Financial Studies, 1(1). Newey, W.K. and West, K.D. (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3). Richardson, M. and Stock, J.H. (1989) Drawing inferences from statistics based on multiyear asset returns. Journal of Financial Economics, 25(2).
אינדיקטור Pine Script®
מאת ‎EdgeTools‎
1
ANTS MVP Indicator David Ryan's Institutional Accumulation🚀 ANTS MVP Indicator – David Ryan's Legendary Accumulation Signal Discover stocks under heavy **institutional buying** before they explode — just like 3-time U.S. Investing Champion David Ryan used to crush the markets! This is a faithful, open-source recreation of the famous **ANTS (Momentum-Volume-Price)** pattern popularized by David Ryan (protégé of William O'Neil / IBD / CAN SLIM fame). It scans for the classic 15-day "MVP" setup that often appears in early stages of massive winners. Key Features: • Colored "Ants" diamonds show signal strength: - Gray: Momentum only (12+ up days in 15) - Yellow: Momentum + Volume surge (≥20% avg volume increase) - Blue: Momentum + Price gain (≥20% rise) - Green: FULL MVP (all three!) – the strongest institutional demand signal! • Toggle to show ONLY green ants for cleaner charts • Position ants above or below bars • Built-in alert for NEW green ants (copy the alert condition or use alert() triggers) • Optional background highlight + label on the last bar for quick spotting Why ANTS Works: - Flags consistent up-days + volume explosion + solid price advance - Often clusters before major breakouts (cup-with-handle, flat bases, etc.) - Used by pros to find leaders early (think NVDA, TSLA, CELH runs) - Great for daily charts + combining with RS Rating, earnings growth, and market uptrends How to Use: 1. Add to daily stock charts 2. Watch for GREEN ants (full MVP) in bases or near pivots 3. Wait for volume breakout above resistance for entry 4. Set alerts for "GREEN ANTS MVP detected!" to catch them live Fully open code – feel free to tweak thresholds (lookback, % gains, etc.)! Inspired by public descriptions from IBD, Deepvue, and Ryan's teachings. If this helps you spot winners, drop a ❤️ like, comment your biggest ANTS catch, and follow for more CAN SLIM-style tools! Questions? Want screener tweaks or strategy version? Comment below! #ANTS #DavidRyan #MVPPattern #InstitutionalAccumulation #CANSLIM #TradingView #MomentumTrading #StockScanner The time it takes for a stock to rise significantly after a green ANTS (full MVP) signal appears varies widely — there is no fixed or guaranteed timeframe. The ANTS indicator (developed by David Ryan) flags strong institutional accumulation over a rolling ~3-week (15-day) period, but the actual price breakout or major advance often comes later, after further consolidation or a proper setup. Typical Timings from Real-World Usage and Examples Short-term (days to weeks): Sometimes the green ants appear during or right at the start of a breakout — price can rise 10–30%+ in the following 1–4 weeks if momentum continues and volume supports it (e.g., Rocket Lab (RKLB) showed ANTS strength ahead of a powerful breakout in examples from IBD). Medium-term (weeks to months): More commonly, green ants signal early accumulation while the stock is still building or tightening in a base (e.g., cup-with-handle, flat base, high tight flag, or pullback to 10/21 EMA). The big move (often 50–200%+) happens after the stock forms a proper buy point (pivot breakout on high volume), which can take 2–12 weeks after the first green ants. Longer-term leaders: In historical CAN SLIM winners, ANTS often appeared during the stealth accumulation phase (before the stock became obvious), with the major multi-month/year run starting 1–6 months later once the market confirmed an uptrend and the stock broke out. Key points from David Ryan/IBD sources: ANTS is a demand confirmation tool, not a precise timing signal. Many stocks with green ants are extended when the signal fires — wait for a pullback/consolidation before expecting the next leg up. In strong bull markets, clusters of green ants over several bars increase the odds of an imminent or near-term move. If no breakout follows within ~1–3 months (and market weakens), the signal may fizzle — cut losses or move on. Bottom line: Expect 0–3 months for meaningful upside in good setups, but always wait for a classic buy point (breakout above resistance on volume) rather than buying the ants alone. Backtest examples (e.g., via TradingView replay on past leaders like NVDA, TSLA, or CELH during their runs) to see the lag in action.
אינדיקטור Pine Script®
מאת ‎TrendRiderPro‎
Emotions TagebuchEmotions Diary This indicator is designed as a simple emotional trading journal directly on your chart. It allows you to document: Emotions before the trade Emotions during the trade Emotions after the trade Additional notes You can also define custom emotional tags (e.g. FOMO, Overtrading, Fear, Flow) and assign them to each phase of the trade with a single click. Selected tags can optionally be automatically appended to the corresponding text fields. The goal is to help you: increase emotional awareness identify recurring emotional patterns improve discipline and decision-making Fully customizable in design, position, and content. Built for traders who want to work not only on their strategy — but on themselves.
אינדיקטור Pine Script®
מאת ‎madizzon1‎
Meine LearningsTop Learnings Panel – Stay Focused on What Matters This tool is designed to keep your most important trading learnings, rules, and reminders permanently visible on your chart. It helps maintain focus, reduce emotional decision-making, and reinforce consistent, rule-based execution. Use Case The panel is intentionally simple and ideal for: documenting key trading learnings displaying core trading rules or principles mental reminders before and during a trading session summarizing insights from journaling, reviews, or backtesting How It Works A freely configurable headline defines the current focus (e.g. Top Learnings, Trading Rules, Session Focus). Up to 10 fully customizable text points can be entered. Each point can be shown or hidden individually. Headline and text rows can be styled independently (font size, colors, background, alignment, position). Purpose This panel is not an analysis tool. It acts as a visual anchor to keep your most important rules in sight — exactly where decisions are made: on the chart.
אינדיקטור Pine Script®
מאת ‎madizzon1‎
NQ Rule Matrix# NQ Rule Matrix Indicator – TradingView User Guide ## Purpose of This Indicator This indicator exists to **control behavior**, not to entertain you with signals. It tells you **what type of market you are in** so you stop trading bad environments. If you ignore it, you are choosing randomness. The indicator does **not**: * Predict tops or bottoms * Give buy/sell signals * Replace your entry model It **does**: * Classify market conditions in real time * Prevent overtrading * Enforce discipline before entries If you use this indicator *after* entering a trade, you are already wrong. --- ## What the Indicator Is Measuring (Plain + Technical) ### Simple explanation The indicator watches how **NQ behaves** and how **ES reacts**. But markets don’t move alone. NQ is heavily influenced by: * **SMH** (chip stocks) * **QQQ** (big tech basket) * **US10Y** (interest rates) If these are working together, moves are cleaner. If they fight each other, trading gets dangerous. --- ### Technical explanation The indicator evaluates: * NQ price structure and momentum * ES confirmation or divergence * **Intermarket correlation between SMH, QQQ, and US10Y** * Strength vs follow-through * Market stability vs disorder Strong trends require **alignment across risk assets and rates**. When correlations break, probability collapses. --- ## Why SMH, QQQ, US10Y, and the Day Matter This is the part most traders ignore — and it’s why they trade chop and call it bad luck. ### Simple explanation Think of the market like a team: * **QQQ** is the whole team * **SMH** is the strongest player (chips) * **US10Y** is the referee (interest rates) * The **day** tells you how tired or excited the team is If the best player and the team are moving the same way *and* the referee isn’t stopping the game, things flow. If they disagree, the game gets messy. --- ### Technical explanation #### QQQ (Nasdaq Environment) * QQQ defines the **broader tech regime** * If QQQ is trending cleanly, NQ continuation has support * If QQQ is chopping, NQ moves are less reliable #### SMH (Semiconductor Leadership) * Semiconductors are the **engine** of Nasdaq * Strong SMH = real institutional participation * Weak or diverging SMH = fragile NQ moves If NQ is pushing but SMH is lagging, strength is suspect. #### US10Y (Rates & Risk Control) * Rising yields = pressure on growth stocks * Falling or stable yields = relief for tech * Sharp rate moves create volatility and failed follow-through NQ trends best when US10Y is **not fighting the move**. #### The Day (Context Matters) Not all days behave the same. * Trend days need correlation * Choppy days expose divergence faster * News days exaggerate correlation breaks Ignoring the day type leads to overconfidence in the wrong environment. --- ### How This Fits the Matrix * 🟢 Green Matrix: * QQQ, SMH aligned * US10Y stable or supportive * NQ + ES agreement * 🟡 Yellow Matrix: * Partial alignment * SMH lagging or rates drifting * Reduced follow-through * 🔴 Red Matrix: * Correlation breakdown * SMH and QQQ diverge * US10Y moving aggressively If correlations break, the matrix degrades — even if price is moving. --- ## Matrix States & How to Use Them ### 🟢 GREEN MATRIX — Trade Allowed **What it means:** * NQ and ES are directionally aligned * Clean structure * Momentum supports continuation **What you do:** * Trade your full strategy * Normal position size * Favor continuation setups **What you do NOT do:** * Overthink * Countertrend trade **Rule:** If the matrix is green, your strategy is allowed to work. --- ### 🟡 YELLOW MATRIX — Caution Zone **What it means:** * Partial divergence * Slowing momentum * Compression or overlap **What you do:** * Reduce size * Be selective * Wait for clarity **What you do NOT do:** * Force trades * Increase size **Rule:** Yellow is a warning, not an invitation. --- ### 🔴 RED MATRIX — No Trade Zone **What it means:** * Clear divergence between NQ and ES * Chop * Failed moves **What you do:** * Stay flat * Protect capital **What you do NOT do:** * “Try one trade” * Scalping out of boredom **Rule:** Red matrix days are capital preservation days. --- ## How to Use the Indicator Step-by-Step 1. Load the indicator on **NQ** 2. Confirm ES is enabled (required) 3. Check matrix state **before market open** 4. Re-check after major session transitions 5. Only trade if matrix allows If your entry triggers but the matrix disagrees — **you skip the trade**. --- ## Do’s and Don’ts ### DO: * Let the matrix decide *if* you trade * Combine with a single entry model * Respect no-trade environments ### DON’T: * Stack indicators to override the matrix * Trade because you are bored * Blame the indicator for ignored rules --- ## Common Misuse (Read This Carefully) * Using the indicator to justify bad trades * Ignoring ES confirmation * Trading red matrix days and calling it “practice” That’s not learning. That’s gambling. --- ## Final Rule (Non-Negotiable) > The matrix decides the environment. > Your strategy decides the execution. > If you reverse those roles, you will lose. This indicator is a **gatekeeper**. If the gate is closed, you wait.
אינדיקטור Pine Script®
מאת ‎ShandoBando‎
US Recessions - ShadingThis indicator shades the chart background during every U.S. recession as dated by the National Bureau of Economic Research (NBER). Recessions are defined using NBER’s business cycle peak-to-trough months, and the script shades from the peak month through the trough month (inclusive) using monthly boundaries. What it does * Applies a shaded overlay on your chart **only during recession periods**. * Works on any symbol and any timeframe (crypto, equities, FX, commodities, bonds, indices). * Includes options to: - Toggle shading on/off - Choose your preferred shading colour - Adjust transparency for readability Why this overlay is important for analysing any asset class Even if you trade or invest in assets that aren’t directly tied to U.S. GDP (like crypto or commodities), U.S. recessions often coincide with major shifts in: -Risk appetite (risk-on vs risk-off behaviour) -Liquidity conditions (credit availability, financial stress) -Interest-rate expectations and central bank response -Earnings expectations and corporate defaults -Volatility regimes (large, sustained changes in volatility) Having recession shading directly on the price chart helps you quickly see whether price action is happening in a historically “normal” expansion environment, or in a macro regime where behaviour can change dramatically. This is particularly useful in a deeper analysis like comparing GOLD to SPX. This chart makes it clear how in recessions the S&P bleeds against Gold therefor making the concept more visual and better for understanding. Of course this is just an example of how it can be used, there are plenty of other factors which can be overlayed like unemployment and interest rates for an even better understanding. Please DM majordistribution.inc on Instagram for any info - FREE - NO Course
אינדיקטור Pine Script®
מאת ‎Giovanni_Ambrosio‎
SN Multi OSC 2.0This indicator is a trend identification and confirmation indicator designed to help traders quickly understand market direction, strength, and possible trend shifts using a combination of multiple technical tools. It visually highlights Bullish Trend, Bearish Trend, and No-Trend/Sideways zones to make chart reading faster and more structured. This tool is built to reduce confusion during choppy markets by filtering signals through multiple confirmations instead of relying on a single indicator. ✅ Key Features Trend Detection System: Identifies whether the market is in an uptrend, downtrend, or neutral phase Zone-Based Visualization: 🟢 Green Zone = Bullish Trend 🔴 Red Zone = Bearish Trend ⚪ Gray Zone = No Trend / Sideways
אינדיקטור Pine Script®
מאת ‎saurabhnigam07‎
3 MA Smart Money System v6 (No Repaint)✅ INDICATOR SPECIFICATIONS 🎯 Moving Average Type SMA – Simple Moving Average EMA – Exponential Moving Average HMA – Hull Moving Average 🔥 Complete Features ✔ 3 moving averages in 1 indicator ✔ SMA/EMA/HMA options ✔ Turn each moving average on/off ✔ Multi-Timeframe (MTF) ✔ Auto Color Trend ✔ MA labels on the chart ✔ Alerts for all moving average combinations ✔ Color fill between moving averages (trend zones) ✔ Automatic MA crossover strategy (Buy/Sell) ✔ Smart Money + Moving Average (major trend filter) ✔ Moving average as automatic support & resistance ✔ NO REPAINT (safe for backtesting & live use) 🧠 SYSTEM LOGIC MA 3 = Smart Money MA (main trend) BUY MA1 crosses UP MA2 Price above MA3 SELL MA1 MA2 crosses down Price below MA3 The MA3 zone is considered dynamic support/resistance. Created by Dr. Trade
אינדיקטור Pine Script®
מאת ‎deddyrinaldo‎
Reflation Proxy: (QQQ/GSG) vs QQQ (Base-100)This indicator builds a single “reflation impulse” line by standardizing the QQQ/GSG ratio (growth equities vs commodities) and comparing it to QQQ over the same Base-100 lookback window. The result highlights when commodities are catching up to or outperforming growth (reflation/broadening impulse) versus when growth is dominating real assets (disinflation/duration regime). The main line is smoothed with a user-defined EMA and includes three configurable control EMAs (21/50/100 by default). Rising readings generally reflect growth leadership; a rollover into a sustained decline tends to mark reflation pressure building under the surface.
אינדיקטור Pine Script®
מאת ‎achillesd‎
Nagarjuna📌 NAGARJUNA – Trend-Based Signal Indicator with Dynamic Support & Resistance & Market Bias Table NAGARJUNA is a professional-grade trading indicator designed to deliver high-probability buy/sell signals with advanced trend detection, market structure awareness, and powerful visual clarity — while keeping all core logic protected. Built for Forex, Gold, Indices, and Crypto, this indicator adapts smoothly across all timeframes. 🔥 Core Features 📈 Buy & Sell Signals Clear and non-repeating Buy and Sell signals Built using multiple confirmations to reduce false entries Suitable for intraday, scalping, and swing trading 🔵🔴 Dynamic Support & Resistance (CORE FEATURE) The Blue Line and Red Line are the heart of the NAGARJUNA system: These lines dynamically act as Support and Resistance Derived from volatility-adjusted trend logic (not static pivots) Price interaction with these levels reveals: Trend continuation Reversal zones High-probability trade locations Breaks and retests of these lines form the foundation of trade entries 👉 These are adaptive structure levels, not simple indicators. 📊 Multi-Timeframe Trend Table – Market Bias NAGARJUNA includes a Trend Table that displays market bias across multiple timeframes, helping traders align entries with the broader market structure. The table shows: Bullish Bearish Sideways across key timeframes such as: 5m 15m 1H 4H This allows traders to: ✔ Trade in the direction of higher timeframe trend ✔ Avoid counter-trend trades ✔ Improve probability by alignment 🛑 Stoploss Visualization (Background Shadow) Stoploss zones are visually represented using background shadow coloring Allows instant recognition of risk zones Helps maintain disciplined trading behavior 🔵🟡 Candle Confirmation System For enhanced trade validation: Blue candles indicate strong bullish confirmation Yellow candles indicate strong bearish confirmation Based on advanced candle pattern logic (engulfing, marubozu, breakout candles) Fully toggleable 📊 CPR (Central Pivot Range) Daily CPR levels plotted for structural context Helps identify: Trending days Range-bound days Breakout conditions Toggle available for a clean chart Recommended: Use Dashed Line style in settings for better visual experience ⚖️ VWAP (Volume Weighted Average Price) Session VWAP for institutional price reference Helps identify: Fair price Premium/discount zones Toggle available Optional dynamic coloring based on price position 🎛️ Customization & Controls Feature Toggle Buy/Sell Signals ✅ Stoploss Shadow ✅ Support & Resistance Lines (Blue/Red) ✅ Bullish Candle Highlights ✅ Bearish Candle Highlights ✅ CPR Levels ✅ VWAP ✅ EMA Trend Cloud ✅ Market Bias Trend Table ✅ 🎯 Designed For Traders Who Want ✔ Structure-based trading ✔ Adaptive support & resistance ✔ Multi-timeframe market bias ✔ Clean trend-following signals ✔ Institutional tools (VWAP, CPR) ✔ Minimal lag ✔ No repaint ✔ Protected core logic ⚠️ Disclaimer This indicator is intended for educational and analytical purposes only. Always use proper risk management and confirm signals with price action and market context before trading. 🧠 Best Usage Tips Always align trades with the Trend Table bias Use Blue/Red lines as: Entry zones Stoploss reference Trailing zones Avoid trading during extremely low volatility sessions Combine lower timeframe entries with higher timeframe bias 🔒 Logic Protection All internal calculations are intentionally hidden to protect the originality and integrity of the system while delivering a powerful and user-friendly trading tool. ⭐ Indicator Name: NAGARJUNA
אינדיקטור Pine Script®
מאת ‎Nagarjunabk‎
Star SMC and Price action [ARule]This script is a Smart Money Concepts (SMC) + Price Action + VWAP + Swing Zones indicator. It detects and draws: ✅ Fair Value Gaps (FVG) ✅ Imbalances (HTF FVG) ✅ BOS / CHoCH (Market Structure) ✅ Internal & Swing Structure ✅ Order Blocks (Internal + Swing) ✅ Equal High / Equal Low (EQH / EQL) ✅ Premium / Discount Zones ✅ Multi-Timeframe High & Low levels ✅ VWAP trend filter ✅ Swing High / Low zones with volume/count filter ✅ Alerts for all major SMC events 👉 Basically: 💎 “All-in-one institutional trading indicator” ✅ 1) HTF FVG / Imbalance System (First Part) This part: Uses multiple higher timeframes: 5m, 15m, 1H, 4H, 1D, 1W Detects imbalance (FVG-like gaps) Draws boxes on chart Marks mitigated zones Adds labels like: 5m, 15m, 1H etc. Logic: An imbalance forms when: current high < previous low (gap down) or current low > previous high (gap up) Then it draws a box 📦 ✅ 2) Mitigation Logic (Very Important) Your script checks when FVG is filled: Options: Wick filled Body filled Half filled None Example: "Wick filled" => low <= imb.open Meaning: 👉 Price touched the FVG → mark as mitigated. ✅ 3) Smart Money Concepts (SMC Core) This huge section detects: 🔹 BOS (Break of Structure) When price breaks previous swing high/low. 🔹 CHoCH (Change of Character) Trend reversal signal. Example: Uptrend → break low → CHoCH bearish Downtrend → break high → CHoCH bullish ✅ 4) Internal vs Swing Structure Internal Structure: Small moves (lower timeframe) Fast signals ⚡ Swing Structure: Major trend structure Strong signals 💪 You can enable/disable both in settings. ✅ 5) Order Blocks (OB) Detected when structure breaks. Two types: 🟢 Bullish OB 🔴 Bearish OB Logic: Script finds last opposite candle before BOS/CHoCH. Then draws OB box 📦 Also checks mitigation: close > OB high → bearish OB broken close < OB low → bullish OB broken ✅ 6) Equal High / Equal Low (Liquidity) Detects liquidity zones: EQH = Equal High EQL = Equal Low Logic: If two highs/lows are close within ATR threshold. Used for: 👉 Liquidity grab / stop hunt zones. ✅ 7) Fair Value Gaps (FVG) – Another System This is separate from HTF imbalance. Condition: currentLow > high → bullish FVG currentHigh < low → bearish FVG Draws 2 boxes per FVG. ✅ 8) Premium / Discount Zones Based on latest swing high & low: Premium zone = top 50% Discount zone = bottom 50% Equilibrium = middle Used in SMC for entries. ✅ 9) Multi-Timeframe High/Low Levels Draws: Previous Day High/Low Previous Week High/Low Previous Month High/Low ✅ 10) VWAP Filter (Your Added Block) You added: VWAP Line vwapValue = ta.vwap(close) Trend Filter Bullish → price above VWAP Bearish → price below VWAP ATM / ITM / OTM logic atm_condition = abs(close - vwap) <= 25 Meaning: ATM = price near VWAP ITM / OTM = based on VWAP direction 💡 This is NOT real option ATM — it's a conceptual filter. ✅ 11) Swing High / Low Zones (Last Part) This part: Detects swing highs & lows using pivot logic Creates zones (boxes) Counts touches or volume inside zone Filters strong zones Example: More touches = stronger support/resistance More volume = institutional interest ✅ What makes this script powerful 💎 It combines: Concept Purpose FVG / Imbalance Institutional gaps BOS / CHoCH Trend change Order Blocks Smart money zones EQH/EQL Liquidity Premium/Discount Entry zones VWAP Trend filter Swing Zones Support/Resistance 👉 This is almost like ICT + SMC + Volume + VWAP hybrid. ✅ If you want, I can help you: I can: ✅ Simplify this script (remove heavy parts) ✅ Add NIFTY / BANKNIFTY option logic ✅ Add Buy/Sell signals ✅ Add scanner (BOS + VWAP + FVG) ✅ Add dashboard table ✅ Optimize performance (reduce lag) ✅ Convert VWAP → real ATM strike logic ✅ Explain any part line-by-line
אינדיקטור Pine Script®
מאת ‎arulrajadpi‎
EstongA Scalping Multi-TFEA *Here’s a consolidated list of warnings and advice for traders, whether you're just starting or are experienced: ⚠️ Critical Warnings 1. You can lose all your capital – Trading is not a get-rich-quick scheme. Never trade with money you can’t afford to lose. 2. Avoid leverage until you fully understand it – Leverage amplifies both gains and losses. Many traders get wiped out by over-leveraging. 3. Beware of "guaranteed profit" systems – If it sounds too good to be true, it is. No strategy works all the time. 4. Emotional trading is a career killer – Fear, greed, and revenge trading destroy accounts. 5. Don’t follow tips or "hot leads" blindly – Do your own analysis. Many influencers are secretly unloading positions onto followers. 📚 Essential Advice Mindset & Psychology • Treat trading like a business, not gambling. Have a plan for every trade. • Develop patience – Wait for high-probability setups; don’t force trades. • Accept losses as part of the game – Even the best traders have losing streaks. The key is risk management. • Keep a trading journal – Record every trade: entry/exit reasoning, emotional state, outcome. Review weekly. Risk Management (Non-Negotiable) • Risk only 1-2% of your capital per trade – This protects you from ruin during a losing streak. • Always use stop-losses – Decide your stop-loss BEFORE entering a trade. • Never add to a losing position ("averaging down") – This is how small losses become catastrophes. • Have a risk/reward ratio of at least 1:2 – Aim for potential profit to be at least double your potential loss. Strategy & Education • Master one market/strategy at a time – Don’t jump between forex, stocks, crypto, and options simultaneously. • Backtest and forward-test any strategy before using real money. • Understand market context – Are you in a trending or ranging market? Adjust your strategy accordingly. • Continuously educate yourself – Markets evolve. Stay updated, but avoid constantly switching strategies. Practical Habits • Start with a demo account – Prove you can be consistently profitable before using real money. • When moving to real money, start small – The psychology changes with real money on the line. • Set trading hours and stick to them – Avoid overtrading and burnout. • Regularly withdraw profits – Secure gains and reinforce the reality of your earnings. 🚨 Red Flags in Yourself • Chasing losses – Trying to immediately recoup a loss leads to bigger losses. • Overconfidence after wins – Leads to taking oversized, reckless trades. • Ignoring your trading plan – If you’re making exceptions, you don’t have a plan. • Blaming the market or others – You are responsible for every trade. Take ownership. 🔍 Choosing a Broker/Platform • Regulation is crucial – Ensure they are licensed by a reputable authority (FCA, SEC, ASIC, etc.). • Understand all fees – Spreads, commissions, overnight financing, withdrawal fees. • Test customer support – You need them in a crisis. • Start with a well-known, established broker – Avoid obscure platforms with offers that seem too good. 💡 Final Wisdom • Preservation of capital is more important than making profits. Survive to trade another day. • The market will always be there – Missing an opportunity is better than taking a bad trade. • Trading is a marathon of consistency, not a sprint for mega-returns. • If you're consistently losing, stop, step back, and re-evaluate. Sometimes the best trade is no trade. Remember, approximately 90% of retail traders lose money. To be in the successful 10%, you need discipline, continuous learning, and emotional control more than a "perfect" strategy. Good luck.
אינדיקטור Pine Script®
מאת ‎Palpiptaste‎