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Indicatori e strategie

ES-VIX Daily Price Bands - Inner bands (80% and 50%)ES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
Indicatore Pine Script®
di alanjeremiebarbe
DarkPool's Squeeze Momentum @author LazyBearDarkPool's Squeeze Momentum Pro is a comprehensive overhaul of the classic volatility indicator, designed for the modern trader who requires deeper market insight. While staying true to the core logic of the original TTM Squeeze, this version introduces advanced features like automatic divergence detection, dynamic moving average selection, and main-chart integration to help you time entries and exits with precision. Credit: This script is built upon the foundational "Squeeze Momentum Indicator" originally developed by LazyBear. This version expands on that legacy with enhanced visualization, alert systems, and divergence logic. Key Features 1. Advanced Divergence Detection The indicator automatically scans for Regular Bullish and Regular Bearish divergences between price action and momentum. Bullish Divergence (Green "BULL" Label): Occurs when Price makes a Lower Low, but Momentum makes a Higher Low. This often precedes a bullish reversal. Bearish Divergence (Red "BEAR" Label): Occurs when Price makes a Higher High, but Momentum makes a Lower High. This often precedes a bearish reversal. 2. Multi-Mode Squeeze Detection The central dots on the zero line tell you the state of market volatility: Red Dot (Squeeze ON): Volatility is compressed. The Bollinger Bands are inside the Keltner Channels. The market is "coiling" and preparing for an explosive move. Do not trade yet—wait for the fire. Grey Dot (Squeeze OFF): The squeeze has "fired." Volatility is expanding, and price is moving. Blue Dot (Wide Bands): Volatility is extremely high. The bands are exceptionally wide, often indicating the end of a trend or a period of high risk. 3. "Ghost" Histogram & Visual Depth The momentum histogram features a "Ghost" fill (transparent background) to help visualize the volume of momentum without cluttering the screen. Bright Green: Strong Bullish Momentum (Rising). Dark Green: Weakening Bullish Momentum (Fading). Bright Red: Strong Bearish Momentum (Falling). Dark Red: Weakening Bearish Momentum (Recovering). 4. Dynamic Candle Coloring Enabled by default, this feature colors the candles on your main chart to match the momentum histogram. This allows you to instantly gauge the trend strength without looking down at the oscillator pane. 5. Adaptive Calculation Engines Unlike standard versions fixed to SMA, you can now select the moving average algorithm that drives the Bollinger Bands and Keltner Channels: SMA: Standard, stable signals. EMA: More reactive to recent price action. WMA/RMA: Weighted options for specific strategies. 🛠 How to Operate The "Squeeze & Fire" Strategy Identify the Squeeze: Look for a series of Red Dots on the zero line. This indicates the market is resting and building energy. The Trigger: Wait for the dot to turn Gray AND for the histogram to expand clearly in one direction. Long Signal: Squeeze fires (Red -> Gray) + Histogram turns Green. Short Signal: Squeeze fires (Red -> Gray) + Histogram turns Red. The "Divergence Reversal" Strategy Watch for "BULL" or "BEAR" labels appearing near the peaks or valleys of the histogram. Confirmation: A divergence is a warning. Wait for the histogram color to change (e.g., from Bright Red to Dark Red) before entering a reversal trade. ⚙️ Settings Guide Basis MA Type: Choose between SMA, EMA, WMA, or RMA to tune the sensitivity of the squeeze. BB/KC Settings: Fully customizable Length and Multipliers to adapt to different assets (Crypto, Forex, or Stocks). Pivot Lookback: Controls how strict the divergence detection is. Higher numbers = fewer, more significant signals. Colour Main Chart Candles: Toggle this OFF if you prefer your standard candle colours. Disclaimer Trading involves a high level of risk and is not suitable for all investors. This indicator is a tool for technical analysis and does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and do not trade based solely on a single indicator.
Indicatore Pine Script®
di DarkPoolCrypto
Extended SOPR Indicator — SSOPR Tops (A/B toggle)Extended SOPR Indicator — SSOPR Tops and Lows (A/B toggle) Observation-only. Data: Glassnode SOPR. Overview This indicator extends the classical SOPR (Spent Output Profit Ratio) to improve readability and reduce noise on charts. SOPR measures whether coins moved on-chain were spent at a profit or at a loss. In brief: SOPR > 1 → spending at profit; SOPR < 1 → spending at loss. SSOPR (from "Smoothed SOPR") applies optional log transform (centers baseline at 0), smoothing (standard or adaptive), and adds structured signals: Z‑score lows (capitulation), buy zones , and top detection after prolonged elevation. Why extend SOPR? (SSOPR vs classical SOPR) • Noise reduction: Raw daily SOPR can whipsaw around its baseline. SSOPR uses smoothing and (optionally) adaptive smoothing so regimes are visible without overfitting. • Better readability: The log transform shifts the break-even line to 0, making “profit territory” (above 0) and “loss territory” (below 0) visually intuitive on oscillators. • Actionable context: Z‑score highlights extreme lows (capitulation risk), a simple buy-zone threshold marks potential accumulation, and a structured top pattern (with a time factor) helps frame distribution phases after sustained elevation. What the script plots • Smoothed SOPR (SSOPR): An orange line representing the smoothed SOPR (with optional log transform and optional adaptive smoothing). • Top markers: A red triangle appears once at the onset of a confirmed top pattern. • Background shading: – Soft green: Buy zone when SSOPR falls below the “Buy Threshold.” (+ Z‑score capitulation zones (extreme lows)). – Soft red: Top‑zone shading when the top criteria are met but before the single triangle fires. Inputs & parameters • Smoothing Length (default 14): Base window for smoothing SSOPR. Higher values = smoother, slower response. • Apply Log Transform (default ON): Uses log(SOPR) so the baseline is 0 (log(1)=0). Above 0 → net profit regime; below 0 → net loss regime. • Adaptive Smoothing (default OFF): Expands smoothing length as volatility rises using a standard deviation proxy; reduces whipsaws while preserving structure. • Z‑score Threshold for Lows (default −2.5): Highlights capitulation zones when SSOPR deviates far below its rolling mean. • SSOPR Buy Threshold (default −0.02): Simple rule-of-thumb level for potential accumulation context when below (log scale). • SSOPR Top Threshold (default +0.005): Minimum elevation required for “profit territory” when assessing tops (log scale). • Min Bars Above Threshold Before Top (default 50): Ensures prolonged elevation before calling a top. • Lookback for Peak Detection (default 50): Window used to locate the recent high. • Drop % from Peak to Confirm Top (default 5%): Confirms the start of distribution from a local high. • Highlight Background : Toggles shaded zones. Top detection (indicator-only) A top fires when ALL of the following are true: SSOPR spent at least Min Bars Above Threshold above the Top Threshold (sustained elevation). The rising phase test passes (Option A or B; see below). A drop from the local peak exceeds Drop % within the Lookback window. The peak occurred in profit territory (SSOPR > Top Threshold). To avoid repeated signals during the decline, the script emits the triangle once, at onset. Rising‑phase switch: Option A vs Option B • Option A — Up‑step ratio : Over the last A: Bars for Rising Check (default 50), it requires that at least A: Required Up‑Step Ratio (default 60%) of bars were rising (each bar compared to the previous). This favors gradual, persistent advances and filters out “choppy” lifts. • Option B — Net slope : Compares current SSOPR to its value B: Bars Back for Net Slope ago (default 50). If higher, the series is considered rising. This is simpler and reacts faster in volatile phases but can admit brief pseudo‑trends. Guidance : Prefer A for conservative confirmation in slow, persistent cycles; use B when trend moves are strong and you need timely detection. Interpretation guide • Regimes (log view): Above 0 → spending at profit; below 0 → spending at loss. • Capitulation lows: When Z‑score < threshold, conditions often reflect forced/liquidity‑driven spending. Treat as context, not signals. • Buy zone: SSOPR < Buy Threshold flags potential accumulation conditions (combine with price structure). • Tops: After prolonged elevation, a confirmed top often coincides with profit‑taking/distribution phases. Recommended timeframes • Daily : Code optimized for daily timeframe. Method summary • SSOPR source: GLASSNODE:BTC_SOPR (via request.security ). • Optional log transform: sopr → log(sopr) to normalize around 0. • Smoothing: SMA over Smoothing Length , optionally adaptive using local volatility (std dev). • Z‑score: (SSOPR − mean) / std dev, highlighting extreme lows. • Top: Requires long elevation above Top Threshold , rising‑phase (A/B), and a subsequent drop > Drop % from recent high. Limitations & notes • SOPR reflects on‑chain movements; some activity occurs off‑chain (exchanges, internal transfers). Not all moves imply sale; aggregation makes it a usable proxy for profit/loss realization. • Higher smoothing reduces noise but delays signals; adaptive smoothing can help but is still a trade‑off. • Treat thresholds as context markers. They are not entry/exit signals by themselves. • Use with price structure, volume, and other on‑chain indicators (e.g., realized price bands, dormancy/CDD) for confluence. How to use (examples) • Advance holding above 0 (log view): Retests of 0 from above that hold—while SSOPR remains elevated—often mark absorption; look for Top conditions only after sustained elevation and a confirmed drop from peak. • Downtrend below 0: Rejections near 0 can align with continued loss realization; extreme Z‑score lows suggest capitulation risk—context for accumulation, not a blind buy. Recommended settings • Weekly: Log ON, Smoothing Length 14–30, Adaptive ON, Buy Threshold −0.02, Top Threshold +0.005, Rising Method A, Min Bars 50. • Daily: Log ON, Smoothing Length 14–20, Adaptive OFF or ON (depending on noise), Rising Method B for timely slope checks. Credits & references • SOPR metric: Renato Shirakashi; documentation: Glassnode , CryptoQuant , overview: Bitbo . Disclaimer This script is for research/education on market behavior. It is not financial advice. Indicators provide context; decisions remain your responsibility. Tags bitcoin, btc, on‑chain, sopr, ssopr, glassnode, oscillator, regime, distribution, capitulation
Indicatore Pine Script®
di Rob_Maths
ES-VIX Expected Daily MoveThis indicator calculates the expected daily price movement for ES futures based on current volatility levels as measured by the VIX (CBOE Volatility Index). Formula: Expected Daily Move = (ES Price × VIX Price) / √252 / 100 The calculation converts the annualized VIX volatility into an expected daily move by dividing by the square root of 252 (the approximate number of trading days per year). Features: Real-time calculation using current ES futures price and VIX level Histogram visualization in a separate pane for easy trend analysis Information table displaying: Current ES futures price Current VIX level Expected daily move in points Expected daily move as a percentage
Indicatore Pine Script®
di alanjeremiebarbe
Elite Federal Reserve AIThe Elite Federal Reserve AI indicator provides an analytical framework focused on monitoring economic and market conditions that influence Federal Reserve policy decisions. The indicator examines key relationships and rate-of-change metrics across multiple proxies for monetary policy drivers. The indicator tracks and analyzes: • Yield curve dynamics through rate-of-change measurements in short and intermediate-term Treasury yields • Inflation expectations via TIPS breakeven rate momentum • Dollar strength and its rate of change over specified periods • Financial market stress indicators including volatility and sector performance metrics • Breadth measures through small capitalization stock performance The indicator calculates momentum and rate-of-change values across these variables to identify shifts in the economic and financial conditions that serve as primary inputs to Federal Reserve decision-making. By monitoring the velocity of change in these key relationships, the indicator provides insight into the changing balance between inflationary pressures, growth expectations, financial stability concerns, and currency dynamics. This approach focuses on the observable market-based indicators that reflect the underlying economic conditions the Federal Reserve considers in its policy formulation, enabling users to assess the prevailing policy environment through the lens of these critical market relationships and their momentum characteristics.
Indicatore Pine Script®
di Timmy741
The Trade Plan 9 & 15 EMA⭐ What Are EMAs? An Exponential Moving Average (EMA) gives more weight to recent prices, making it more responsive than a simple moving average. 9-EMA = very fast, reacts quickly to price changes 15-EMA = slightly slower, smooths short-term noise Together they help identify momentum shifts. 📈 How the 9/15 EMA Strategy Works 1. Buy Signal (Bullish Crossover) You enter a long (buy) trade when: ➡ 9 EMA crosses above the 15 EMA This suggests momentum is shifting upward and a new uptrend may be forming. 2. Sell Signal (Bearish Crossover) You enter a short (sell) trade or exit long positions when: ➡ 9 EMA crosses below the 15 EMA This suggests momentum is turning downward. 🔧 How Traders Typically Use It Entry Wait for a clear crossover. Confirm with price closing on the same side of EMAs. Some traders add confirmation using RSI, MACD, or support/resistance. Exit Several options: Exit when the opposite crossover occurs. Exit at predetermined risk-reward levels (e.g., 1:2). Use trailing stop below/above EMAs. 👍 Strengths Easy to follow Good for fast-moving markets Works well on trending markets Minimal indicators needed 👎 Weaknesses Whipsaws in sideways markets Many false signals on very low timeframes Works best with additional filters 🕒 Common Timeframes Scalping: 1m, 5m Day trading: 5m, 15m Swing trading: 1H, 4H
Indicatore Pine Script®
di miyarajmahamad284
ES-VIX Daily Price Bands - Inner and OuterES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Outer upper band (green) at 150% of expected move Outer lower band (red) at 150% of expected move Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
Indicatore Pine Script®
di alanjeremiebarbe
DarkPool's RSi DarkPool's RSi is an enhanced momentum oscillator designed to automatically detect structural discrepancies between price action and the Relative Strength Index. While retaining the standard RSI visualization, this script overlays advanced divergence recognition logic to identify potential trend reversals. The tool identifies pivot points in real-time and compares recent peaks and valleys against historical data. When the momentum of the RSI contradicts the direction of price action, the indicator highlights these events using dynamic trendlines, shape markers, and background coloring. A built-in dashboard table provides an immediate status check of active divergence signals. Key Features Automated Divergence Detection: Automatically spots both Regular Bullish and Regular Bearish divergences based on pivot lookback settings. Dynamic Visuals: Draws physical lines connecting RSI peaks or troughs to visualize the divergence angle, alongside triangle markers indicating the signal direction. Active Status Dashboard: A data table located on the chart monitors the current state of the market, flagging signals as "Active" when detected. Standard RSI Overlay: Includes standard Overbought (70) and Oversold (30) reference lines for traditional momentum trading. How to Use 1. Reading the Standard RSI The black line represents the Relative Strength Index. Overbought (Above 70): Suggests the asset may be overvalued and due for a pullback. Oversold (Below 30): Suggests the asset may be undervalued and due for a bounce. Midline (50): Acts as a trend filter; values above 50 indicate bullish momentum, while values below 50 indicate bearish momentum. 2. Trading Divergences The primary function of this tool is to identify reversal setups. Bullish Divergence (Green Triangle/Line): Occurs when Price makes a Lower Low, but the RSI makes a Higher Low. This indicates that selling momentum is exhausting and a price increase may follow. Bearish Divergence (Red Triangle/Line): Occurs when Price makes a Higher High, but the RSI makes a Lower High. This indicates that buying momentum is fading and a price decrease may follow. 3. Visual Aids Lines: The script draws solid lines directly on the RSI pane connecting the relevant pivot points to confirm the divergence slope. Background Color: When a divergence is detected, the background of the indicator pane will highlight briefly (Green for Bullish, Red for Bearish) to draw attention to the new signal. 4. The Dashboard A small table in the bottom right corner tracks the status of the signals. Status: ACTIVE: A divergence has been detected within the last 10 bars. Status: None: No recent divergence patterns have been identified. Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of future results. Trading cryptocurrencies and financial markets involves a high level of risk. Always perform your own due diligence before making any trading decisions.
Indicatore Pine Script®
di DarkPoolCrypto
Trading Sessions Low and HighVisualize and analyze different trading sessions (Tokyo, London, New York) on your charts. Key Features: Colored Session Zones: Displays colored rectangles to visually identify each active trading session Smart High/Low Lines: Draws horizontal lines at the highest and lowest points of each session These lines automatically extend forward in time until a candle crosses them Helps identify support/resistance levels created during each session Detailed Session Information: Range (difference between highest and lowest points) Average price of the session Open and close lines Full Customization: Choose the number of historical sessions to display (e.g., last 10, 20 sessions) Line style and width for high/low lines Enable/disable each element independently Trading Benefits: Identify liquidity zones created during each session Spot key levels that continue to influence price after a session closes Analyze volatility and price behavior across different sessions Detect breakouts of important levels established during previous sessions
Indicatore Pine Script®
di Dirhvep
Cumulative Volume Delta - LineA simple tweak to the CVD indicator from TradingView for better readability. Use it to spot absorption and exhaustion at key levels. For example, Price is making higher highs while CVD is making lower highs - possible exhaustion of buyers Price is making lower highs while CVD is making higher highs - possible absorption of buyers Price is making lower lows while CVD is making higher lows - possible exhaustion of sellers Price is making higher lows while CVD is making lower lows - possible absorption of sellers
Indicatore Pine Script®
di jeanjkj
Omega Correlation [OmegaTools]Omega Correlation (Ω CRR) is a cross-asset analytics tool designed to quantify both the strength of the relationship between two instruments and the tendency of one to move ahead of the other. It is intended for traders who work with indices, futures, FX, commodities, equities and ETFs, and who require something more robust than a simple linear correlation line. The indicator operates in two distinct modes, selected via the “Show” parameter: Correlation and Anticipation. In Correlation mode, the script focuses on how tightly the current chart and the chosen second asset move together. In Anticipation mode, it shifts to a lead–lag perspective and estimates whether the second asset tends to behave as a leader or a follower relative to the symbol on the chart. In both modes, the core inputs are the chart symbol and a user-selected second symbol. Internally, both assets are transformed into normalized log-returns: the script computes logarithmic returns, removes short-term mean and scales by realized volatility, then clips extreme values. This normalisation allows the tool to compare behaviour across assets with different price levels and volatility profiles. In Correlation mode, the indicator computes a composite correlation score that typically ranges between –1 and +1. Values near +1 indicate strong and persistent positive co-movement, values near zero indicate an unstable or weak link, and values near –1 indicate a stable anti-correlation regime. The composite score is constructed from three components. The first component is a normalized return co-movement measure. After transforming both instruments into normalized returns, the script evaluates how similar those returns are bar by bar. When the two assets consistently deliver returns of similar sign and magnitude, this component is high and positive. When they frequently diverge or move in opposite directions, it becomes negative. This captures short-term co-movement in a volatility-adjusted way. The second component focuses on high–low swing alignment. Rather than looking only at closes, it examines the direction of changes in highs and lows for each bar. If both instruments are printing higher highs and higher lows together, or lower highs and lower lows together, the swing structure is considered aligned. Persistent alignment contributes positively to the correlation score, while repeated mismatches between the swing directions reduce it. This helps differentiate between superficial price noise and structural similarity in trend behaviour. The third component is a classical Pearson correlation on closing prices, computed over a longer lookback. This serves as a stabilising backbone that summarises general co-movement over a broader window. By combining normalized return co-movement, swing alignment and standard price correlation with calibrated weights, the Correlation mode provides a richer view than a single linear measure, capturing both short-term dynamic interaction and longer-term structural linkage. In Anticipation mode, Omega Correlation estimates whether the second asset tends to lead or lag the current chart. The output is again a continuous score around the range. Positive values suggest that the second asset is acting more as a leader, with its past moves bearing informative value for subsequent moves of the chart symbol. Negative values indicate that the second asset behaves more like a laggard or follower. Values near zero suggest that no stable lead–lag structure can be identified. The anticipation score is built from four elements inspired by quantitative lead–lag and price discovery analysis. The first element is a residual lead correlation, conceptually similar to Granger-style logic. The script first measures how much of the chart symbol’s normalized returns can be explained by its own lagged values. It then removes that component and studies the correlation between the residuals and lagged returns of the second asset. If the second asset’s past returns consistently explain what the chart symbol does beyond its own autoregressive behaviour, this residual correlation becomes significantly positive. The second element is an asymmetric lead–lag structure measure. It compares the strength of relationships in both directions across multiple lags: the correlation of the current symbol with lagged versions of the second asset (candidate leader) versus the correlation of lagged values of the current symbol with the present values of the second asset. If the forward direction (second asset leading the first) is systematically stronger than the backward direction, the structure is skewed toward genuine leadership of the second asset. The third element is a relative price discovery score, constructed by building a dynamic hedge ratio between the two prices and defining a spread. The indicator looks at how changes in each asset contribute to correcting deviations in this spread over time. When the chart symbol tends to do most of the adjustment while the second asset remains relatively stable, it suggests that the second asset is taking a greater role in determining the equilibrium price and the chart symbol is adjusting to it. The difference in adjustment intensity between the two instruments is summarised into a single score. The fourth element is a breakout follow-through causality component. The script scans for breakout events on the second asset, where its price breaks out of a recent high or low range while the chart symbol has not yet done so. It then evaluates whether the chart symbol subsequently confirms the breakout direction, remains neutral, or moves against it. Events where the second asset breaks and the first asset later follows in the same direction add positive contribution, while failed or contrarian follow-through reduce this component. The contribution is also lightly modulated by the strength of the breakout, via the underlying normalized return. The four elements of the Anticipation mode are combined into a single leading correlation score, providing a compact and interpretable measure of whether the second asset currently behaves as an effective early signal for the symbol you trade. To aid interpretation, Omega Correlation builds dynamic bands around the active series (correlation or anticipation). It estimates a long-term central tendency and a typical deviation around it, plotting upper and lower bands that highlight unusually high or low values relative to recent history. These bands can be used to distinguish routine fluctuations from genuinely extreme regimes. The script also computes percentile-based levels for the correlation series and uses them to track two special price levels on the main chart: lost correlation levels and gained correlation levels. When the correlation drops below an upper percentile threshold, the current price is stored as a lost correlation level and plotted as a horizontal line. When the correlation rises above a lower percentile threshold, the current price is stored as a gained correlation level. These levels mark zones where a historically strong relationship between the two markets broke down or re-emerged, and can be used to frame divergence, convergence and spread opportunities. An information panel summarises, in real time, whether the second asset is behaving more as a leading, lagging or independent instrument according to the anticipation score, and suggests whether the current environment is more conducive to de-alignment, re-alignment or classic spread behaviour based on the correlation regime. This makes the tool directly interpretable even for users who are not familiar with all the underlying statistical details. Typical applications for Omega Correlation include intermarket analysis (for example, index vs index, commodity vs related equity sector, FX vs bonds), dynamic hedge sizing, regime detection for algorithmic strategies, and the identification of lead–lag structures where a macro driver or benchmark can be monitored as an early signal for the instrument actually traded. The indicator can be applied across intraday and higher timeframes, with the understanding that the strength and nature of relationships will differ across horizons. Omega Correlation is designed as an advanced analytical framework, not as a standalone trading system. Correlation and lead–lag relationships are statistical in nature and can change abruptly, especially around macro events, regime shifts or liquidity shocks. A positive anticipation reading does not guarantee that the second asset will always move first, and a high correlation regime can break without warning. All outputs of this tool should be combined with independent analysis, sound risk management and, when appropriate, backtesting or forward testing on the user’s specific instruments and timeframes. The intention behind Omega Correlation is to bring techniques inspired by quantitative research, such as normalized return analysis, residual correlation, asymmetric lead–lag structure, price discovery logic and breakout event studies, into an accessible TradingView indicator. It is intended for traders who want a structured, professional way to understand how markets interact and to incorporate that information into their discretionary or systematic decision-making processes.
Indicatore Pine Script®
di OmegaTools
Buy/Sell Signals [WynTrader]Hello dear Friend Here is a new version ( B-S_251121_wt ) of my Buy/Sell Signals indicator. Some calculation updates and useful enhancements have been applied. Concepts This Buy/Sell Signals indicator generates Buy/Sell signals as accurately as possible, identifying trend changes. Compared to other tools that detect trend shifts, this one is simple, easy to use, and demonstrates its efficiency on its own. - Its features are carefully designed to minimize false signals while ensuring optimal signal placement. - The Table results allow you to quickly evaluate signal performance, both on their own and compared to a Buy & Hold strategy. - The Table calculations are fully synchronized with the visible chart (WYSIWYG – What You See Is What You Get). You can also scroll the chart across different date ranges to see how a stock or product performs under various market conditions. - Seeing Buy/Sell signals on a chart is appealing, but assessing their performance in a Table makes it even more convincing. And without running a full backtest, you can get a clear overview of overall performance immediately. Features This indicator generates Buy/Sell signals using: - Fast and Slow Moving Averages (adjustable). - Bollinger Bands (adjustable). - Filters (optional, adjustable) to refine signals, including : Bollinger Bands Lookback Trend Filter; High-Low vs Candle Range Threshold %; Distance from Fast and Slow MAs Threshold %. - Results are displayed in a Table on the chart, based on the currently visible start and end dates. Functionality - The indicator aims to confirm trend changes through timely Buy/Sell signals. - It uses two Moving Averages and Bollinger Bands, combined with filters such as BB Lookback, -- The variable settings have been tested with a mix of manual and AI testing to find the optimal configuration. You can adjust the variables to suit your goals. - The design is simple, with clear parameters and instant readability of Buy/Sell Signals on the chart and in the Table results, without complex interpretation needed. - It works effectively by requiring both trend confirmation and volatility control management. - Signals are timed to be as accurate as possible, avoiding futile weak or false ones. - A Table shows the effectiveness of the signals on the current visible chart, providing immediate, realistic feedback. The Buy & Hold strategy results are also included for comparison with the Buy/Sell swing strategy. The Buy & Hold results start from the first Buy signal to ensure a fair comparison. - Changing the parameters instantly updates the Table, giving a quick, at-a-glance performance check. Caution - No technical tool is perfect; it cannot predict disasters, wars, or the actions of large fund managers or short sellers. - After testing thousands of TradingView indicators over 24 years, I’ve found none to be 100% accurate all the time. - This Buy/Sell Signals indicator may outperform some others but is still not perfect. So, just be aware, and don’t be fooled by this tool.
Indicatore Pine Script®
di Wyn-Trader
Psychological levels [Kodologic] Psychological levels Markets are not random, they are driven by human psychology and algorithmic order flow. A well-known phenomenon in trading is the "Whole Number Bias" — the tendency for price to react significantly at clean, round numbers (e.g., Bitcoin at $95,000 or EURUSD at 1.0500). Manually drawing horizontal lines at every round number is tedious, clutters your object tree, and distracts you from analyzing price action. Psychological levels Numbers is a workflow utility designed to solve this problem. It automatically projects a clean, customizable grid of key price levels onto your chart, helping you instantly identify areas where liquidity and orders are likely to cluster. Why This Indicator Helps Traders : Professional traders know that "00" and "50" levels act as magnets for price. Here is how this tool assists in your analysis: 1. Institutional Footprints : Large institutions and bank algorithms often execute orders at whole numbers to simplify accounting. This script highlights these potential liquidity zones automatically. 2. Support & Resistance Discovery: You will often notice price wicking or reversing exactly on these grid lines. This helps in spotting natural support and resistance without needing complex technical analysis. 3. Cognitive Load Reduction: Instead of calculating where the next "major level" is, the grid is visually present, allowing you to focus on candlestick patterns and market structure. Features : Dynamic Calculation : The grid updates automatically as price moves, you never have to redraw lines. Zero Clutter : The lines are drawn using code, meaning they do not appear in your manual drawing tools list or clutter your object tree. Fully Customizable Step : You define what constitutes a "Round Number" for your specific asset class (Forex, Crypto, Indices, or Stocks). Visual Control : Adjust line styles (Solid, Dotted, Dashed), colors, and transparency to keep your chart aesthetic and readable. How to Use in Your Strategy : 1. Target Setting (Take Profit) If you are in a long position, use the next upper grid line as a logical Take Profit area. Price often gravitates toward these whole numbers before reversing or consolidating. 2. Stop Loss Placement Avoid placing Stop Losses exactly on a round number, as these are often "stop hunted." Instead, use the grid to visualize the level and place your stop slightly *below* or *above* the round number for better protection. 3. Confluence Trading Do not use these lines in isolation. Look for Confluence : Example: If a Fibonacci 61.8% level lines up exactly with a Round Number grid line, that level becomes a high-probability reversal zone. Settings Guide (Important) Since every asset is priced differently, you must adjust the "levels Step Size" to match your instrument: Forex (e.g., EURUSD, GBPUSD): Set Step Size to `0.0050` (50 pips) or `0.0100` (100 pips). Crypto (e.g., BTCUSD): Set Step Size to `500` or `1000`. Indices (e.g., US30, SPX500): Set Step Size to `100` or `500`. Gold (XAUUSD):** Set Step Size to `10`. Disclaimer: This tool is for educational and visual aid purposes only. It does not provide buy or sell signals. Always manage your risk.
Indicatore Pine Script®
di Kodologic
SPY Key LevelsUse Case Do you belong to a group of traders that post key levels based on their technical analysis to be utilized for trading opportunities? The goal of this indicator is to reduce your daily prep time by allowing you to paste in the actual level values instead of trying to manually create each of the horizontal lines. How it works Simply enter the values of the key levels that you would like to plot horizontal lines for Settings You can enable/disable any of the levels You can change the colors of the levels You can add Previous Day High and Previous Day Low levels to the chart Limitations Currently the levels (besides PDH/PDL) are hardcoded to only display for the SPY security "AMEX:SPY" // Terms \\ Feel free to use the script, If you do use the script could you please just tag me as I am interested to see how people are using it. Good Luck!
Indicatore Pine Script®
di amartin0iu1r