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Wskaźniki i strategie

Steve TablePurpose: Provides a visual dashboard for crypto trading using 4H trend + 15M break of structure. Key Features: 4H Trend & Bias: Checks if the 4H candle is bullish or bearish (SMA + candle color). 4H %: Shows how close the 4H close is to the high/low of the candle (discount/premium). 15M BOS: Detects break of structure on the 15-minute chart. Bull/Bear Scores: Combines trend, bias, 4H %, and BOS for trade signals. Signal: BUY / SELL / NO TRADE based on scores. Countdowns: Shows time left for 4H/15M candles and Asia, London, NY crypto sessions. Wins/Losses & Win Rate: Tracks simple trade results. Display: Heatmap-style table with colors for 4H %, scores, and signals for easy reading.
Wskaźnik Pine Script®
od stevenbel23
Golden Zone + 50 % Line (Multi Moves) by GrimsonThis indicator displays the 50% line of a price move and the golden zone according to Fibonacci levels. You can freely choose between which Fibonacci levels the zone should be drawn. In addition, all colors, lines, and boundaries can be customized. You can also choose how many boxes should be displayed retrospectively. It also distinguishes whether the move was bullish or bearish. The zones stop once they are touched. The sensitivity of the move detection can also be freely adjusted. Enjoy and happy trading!
Wskaźnik Pine Script®
od Grimson55
1
Manias, Panics and CrashesI got inspired to build the Manias Panics and Crashes indicator after reading the book "Manias, Panics and Crashes" by Charles Kindleberger's and Hyman Minsky's Financial Instability Hypothesis . This indicator identifies the three critical phases of market cycles, from manias, to panics, to crashes by analyzing multiple dimensions of market behavior including volatility, credit stress, market breadth, and momentum. As you will be able to see, a panic or crash is often anticipated by a mania. Here's how it works: I Use multi-dimensional risk analysis which includes: VIX Integration: Real-time fear gauge monitoring with spike detection Credit Spread Analysis: Tracks HYG/LQD spreads and flight-to-safety indicators (TLT/SPY) Market Breadth: Monitors participation levels to detect divergences Momentum Indicators: RSI, MACD, and rate-of-change analysis Volume Analysis: Identifies climax selling and forced liquidation events The indicator scores three distinct market phases (0-100 scale): 🟡 MANIA: Euphoric speculation, extended valuations, complacency (VIX <20, RSI >70) 🟠 PANIC: Sharp deterioration, fear acceleration, breadth collapse 🔴 CRASH: Capitulation events, extreme volatility (VIX >40), credit freeze This indicator implements the classic boom-bust cycle model: 1. Displacement → Credit Expansion → Mania/Euphoria Excessive leverage, speculation replacing investment Measured: Price >15% above 200-MA, RSI overbought >10 days, VIX <20 2. Critical Stage → Panic/Financial Distress Smart money exits, credit spreads widen Measured: Sharp declines, VIX spikes, breadth deterioration 3. Revulsion → Crash Forced liquidation, credit freeze, herd panic Measured: VIX >40, extreme volume, breadth <20%, credit stress >60 This framework has successfully identified major market crises for over 300 years of financial history, and you can backtest it yourself. Scoring Methodology Each phase receives a score (0-100) based on multiple factors: MANIA Score Components Price deviation from 200-day MA (>15% = elevated) RSI overbought duration (>70 for 10+ days) Market breadth (>60% stocks rising) Low volatility complacency (VIX <20) Accelerating momentum (ROC increasing) PANIC Score Components: Moderate declines (-5% to -15% from peak) VIX spike (>30% increase in 5 days) High volume on down days (>150% average) Breadth deterioration (<40% participation) Credit stress emergence (spreads widening >2%) Momentum reversal (MACD bearish cross) CRASH Score Components: Extreme declines (>15% from peak) VIX extreme (>40) Volume climax (>200% average) Breadth collapse (<20% participation) High correlation (forced selling across sectors) Credit freeze (spreads >10% wider) The indicator automatically pulls from multiple data feeds: TVC:VIX - CBOE Volatility Index AMEX:HYG / AMEX:LQD - Credit spread proxy (High Yield vs Investment Grade) NASDAQ:TLT / AMEX:SPY - Flight-to-safety indicator (Treasuries vs Equities) AMEX:XLF - Financial sector health INDEX:ADDN - NYSE Advance/Decline for breadth For Traders: Use the indicator to adjust risk based on market phase. During NORMAL conditions, trade normally. In MANIA, reduce positions and take profits. During PANIC, raise cash and avoid catching knives. In CRASH, prepare your shopping list and wait for capitulation signs before deploying capital. For Investors: Maintain target allocation during NORMAL markets. When MANIA is detected, rebalance to defensive sectors and build cash reserves. During PANIC/CRASH phases, deploy cash into quality names at extreme fear levels, as these periods create the best long-term buying opportunities. Historical Performance The indicator successfully identified: COVID-19 Crash (March 2020): MANIA signals in Feb 2020, PANIC phase Mar 12-23: 2022 Bear Market: Multiple MANIA warnings in 2021: January 2018 Selloff: MANIA warnings a few days earlier: 2008 Financial Crisis: Multiple MANIA alerts before the crash: Note : Past performance does not guarantee future results. This indicator provides context and warning signals but cannot predict exact timing of market events. This indicator might have some limitations: False Positives: Mania phases can persist for months/years before corrections (see phase from 1996 until the doc com crash) Lag: Some indicators are reactive rather than predictive Data Availability: It works pretty much only for the US markets Timeframe Sensitivity: Best on daily/weekly charts; intraday may be noisy and I didn't try it Acknowledgments As always, I'm standing on the shoulders of giants. the indicator was inspired by: Charles Kindleberger's "Manias, Panics and Crashes" Hyman Minsky's Financial Instability Hypothesis Behavioral finance research by Robert Shiller Let me know if you have any comments or suggestions! - Henrique Centieiro
Wskaźnik Pine Script®
od HenriqueCentieiro
4
Candle Patterns Ver.3I am always studying strategies and one way to incorporate different strategies aiming to improve the chances to be on the right side of a trade. This indicator has other indicators that together makes easy to spot a possible good trade. It has: - Bollinger Bands that give us the market volatility and can identify overbought or oversold levels; - Stochastic: that give us market momentum and also overbought and oversold levels; - Candle patterns: I just added the Pin bars(or Hammer at support) and Engulfing patterns. I noticed those 2 are the most reliable if spotted at the right place. - Daily Trend direction: based on an EMA(200), one of the most reliable and used Moving averages. - Round Numbers: This is always a good help before we place our trade to identify possible rejection levels or Support / Resistance levels. So the idea here is, during the analysis, identify when a new candle open what was and where was the previous candle. I in general trade Daily charts and during tests I notice that when the previous bar closed at the lower BB, it was an Engulfing bar and the Stochastic %K was crossing %D below the 20 level I would say there is a 65 to 75% chance of the price move up, at least to test the middle BB. It is some kind of situation that does not happen very often but when happens is almost sure "money in the bank". So I added the Daily Trend as away to confirm the market direction or if it is just a pullback. So to make my analysis easy and fast I added symbols telling me the story of the previous day like EG arrow for an engulfing bar, a big light blue arrow when the engulfing is close to the lower BB, an green(Stoch cross above below 20 level) and a red arrow(Stoch cross below at 80 level) with a TRUE text. Of course it is not perfect but it helps me on my analysis. Also the Engulfing pattern can have different interpretations so keep that in mind. An I am working on make the arrows not appears on top of the others so be kind... :) Please feel free to comment or criticize( in a good way). You all have a great trading.
Wskaźnik Pine Script®
od cyberFX2019
EMA Cross with MTF Understanding EMA Crossover and Multi-Time Frame SMA Crossover in Technical Analysis Technical indicators like Exponential Moving Averages (EMAs) and Simple Moving Averages (SMAs) are foundational tools for traders to identify trends, momentum shifts, and potential entry/exit points in markets such as stocks, forex, or cryptocurrencies. Crossovers—where one average line crosses another—signal changes in trend direction. Below, I'll break down EMA crossovers, then extend to multi-time frame (MTF) SMA crossovers, and explain how analyzing from a lower time frame can reveal higher time frame trends. EMA Crossover: Basics and Application An EMA crossover involves two or more EMAs of different periods intersecting on a price chart. EMAs give more weight to recent prices compared to SMAs, making them more responsive to new data and ideal for capturing short- to medium-term trends. How It Works: Typically, traders use a short-term EMA (e.g., 9-period or 12-period) and a longer-term EMA (e.g., 26-period or 50-period). Golden Cross (Bullish Signal): When the shorter EMA crosses above the longer EMA, it suggests upward momentum and a potential buy opportunity. This indicates that recent price action is stronger than the historical average. Death Cross (Bearish Signal): When the shorter EMA crosses below the longer EMA, it signals downward momentum and a potential sell or short opportunity. Example: On a daily chart, a 12-period EMA crossing above a 26-period EMA might confirm the start of an uptrend, often used in strategies like the MACD (which is derived from EMA differences). Advantages: Quick response to price changes due to exponential weighting. Reduces lag compared to SMAs, helping in volatile markets. Can be combined with volume or other indicators (e.g., RSI) to filter false signals. Limitations: Prone to whipsaws (false crossovers) in sideways or ranging markets. Best suited for trending environments; in choppy conditions, it may generate too many signals. Traders often apply EMA crossovers on single time frames, but for broader context, incorporating multi-time frame analysis enhances reliability. Multi-Time Frame SMA Crossover: Integrating Broader Perspectives Multi-time frame (MTF) analysis involves examining the same asset across different time intervals (e.g., 5-minute, 1-hour, daily) to align short-term trades with longer-term trends. Here, we focus on SMA crossovers, where SMAs—simple arithmetic averages of closing prices over a set period—are used instead of EMAs. SMAs are smoother and less reactive, making them suitable for identifying sustained trends. How It Works in MTF: Choose at least two time frames: a lower one (e.g., 15-minute for intraday trading) and a higher one (e.g., 4-hour or daily for overall trend). On each frame, plot two SMAs: a shorter one (e.g., 50-period) and a longer one (e.g., 200-period). Crossover Signals: Bullish: Shorter SMA crosses above the longer SMA. Bearish: Shorter SMA crosses below the longer SMA. In MTF, the higher time frame dictates the dominant trend, while the lower one provides precise entry timing. For instance: If the daily chart shows a bullish 50/200 SMA crossover (uptrend), look for buy entries on the 1-hour chart when its own SMA crossover aligns. This "top-down" approach ensures you're trading in the direction of the bigger picture, reducing counter-trend risks. Advantages: Filters noise: Higher time frames smooth out short-term volatility. Improves win rate by confirming trends across scales. Versatile for strategies like swing trading (daily/weekly) or scalping (5-min/15-min). Limitations: SMAs lag more than EMAs, potentially missing early trend entries. Requires monitoring multiple charts, which can be time-intensive without automation. Viewing Higher Time Frame Trends from a Lower Time Frame One of the key benefits of MTF analysis is the ability to "see" higher time frame trends directly on a lower time frame chart, without switching views constantly. This is achieved through anchored or overlaid indicators that project higher-period data onto the lower chart. How It Enables Trend Tracking: Overlay Technique: On a lower time frame (e.g., 15-minute), plot SMAs or EMAs calculated from higher time frame data. For example: Use a 50-period SMA on a daily chart, but recalculate it for the 15-minute chart by multiplying periods (since there are about 96 15-minute bars in a trading day, a daily 50-SMA might approximate to a 4800-period SMA on 15-min). Tools like TradingView allow "higher time frame" scripts to fetch and display this directly. Trend Visibility: From the lower frame, you can observe if the price is above/below the higher-frame SMA, indicating the overall trend. A crossover on the lower frame that aligns with the higher frame's direction confirms momentum. Example: On a 5-minute chart (lower TF), if the overlaid daily 200-SMA acts as support (price bounces off it), it shows the higher TF uptrend is intact, even amid intraday dips. This helps avoid selling into a pullback during a broader bull market. Practical Benefits: Early Detection: Lower TFs show granular price action, revealing how higher TF trends are forming in real-time (e.g., a building crossover on daily visible as momentum buildup on hourly). Risk Management: Use higher TF levels for stop-losses while entering on lower TF signals. Example Strategy: In forex, on a 1-hour chart, confirm the 4-hour SMA trend is bullish, then wait for a 1-hour EMA crossover for entry. This way, you're "zooming in" on the big trend without losing context.
Wskaźnik Pine Script®
od akghuf19ag24
1
VWAP Guppy (32 Days Structure)Introduction to the Volume Weighted Super Guppy Indicator The Volume Weighted Super Guppy is a technical analysis indicator that builds on the traditional Guppy Multiple Moving Average (GMMA) by incorporating volume weighting, similar to how the Volume Weighted Average Price (VWAP) accounts for trading volume in price calculations. Developed as an enhancement to Daryl Guppy's original GMMA, this variant aims to provide a more robust signal by factoring in volume, which helps differentiate between price movements driven by high conviction (high volume) and those that are less significant. The "Super" aspect often refers to an optimized or expanded version of the standard Guppy setup, and the "30 days" likely alludes to the long-term moving average group, which typically starts at a 30-period EMA and extends upward, making it suitable for medium- to long-term trend analysis over roughly a month's worth of data (assuming daily charts). Core Components and How It Works The standard GMMA consists of two groups of exponential moving averages (EMAs): Short-term group (representing traders' sentiment): Typically VWAP of 1 to 32 days . These react quickly to price changes and capture short-term momentum. Long-term group (representing investors' sentiment): Typically VWAP of 1 to 32 days. These provide a smoother view of the underlying trend, with the 30-period EMA serving as the entry point into longer-term analysis. In the Volume Weighted Super Guppy, each VWAP is adjusted to be volume-weighted, meaning the average price is calculated not just on closing prices but on a volume-adjusted basis (akin to VWAP's formula: Cumulative (Price × Volume) / Cumulative Volume). This weighting emphasizes periods of high trading activity, reducing the impact of low-volume price spikes or dips that might distort traditional EMAs. If volume data is unavailable (e.g., in certain markets like forex), a fallback to simple price-based EMAs is often implemented. The indicator plots these multiple lines as "ribbons" on a price chart: Short-term ribbons are usually colored differently (e.g., green for bullish, red for bearish) from long-term ones. Convergence or divergence between the groups signals potential trend shifts, with volume weighting adding reliability by highlighting volume-backed moves. How It Helps Track Trends The Volume Weighted Super Guppy excels at identifying trend direction, strength, and potential reversals, making it a valuable tool for swing traders, trend followers, and investors monitoring 30-day or longer horizons. Here's how it aids in trend tracking: Trend Direction Identification: When the short-term EMA group is above the long-term group (starting from the 1 to 32 days VWAP), it indicates an uptrend. The volume weighting ensures this signal is stronger if supported by increasing volume, filtering out false breakouts. Conversely, if the short-term group crosses below the long-term group, it signals a downtrend. This crossover is particularly useful over a 30-day rolling window, as it captures shifts from short-term volatility to sustained investor-driven moves. Trend Strength Assessment: Separation of Ribbons: Wide separation between the short- and long-term groups suggests a strong trend. For example, in a bullish scenario, expanding distance between the groups over 30 days indicates building momentum, often confirmed by higher volume in the weighted calculation. Compression and Expansion: When the ribbons compress (lines bunch together), it signals consolidation or weakening trend strength, potentially foreshadowing a breakout. Volume weighting helps discern if the compression is due to low-interest trading (weaker signal) or building volume (stronger impending move). Breakout and Reversal Anticipation: The indicator anticipates breakouts when price and value (as captured by the volume-weighted EMAs) converge, especially around the 30-60 period long-term averages. A breakout above the long-term ribbon on rising volume can confirm a new uptrend. For reversals, watch for the short-term group to "bounce" off the long-term group (e.g., acting as support in uptrends). Over 30 days, this can highlight trend exhaustion if volume diminishes. Practical Application in a 30-Day Context: On daily charts, the 1 to 32-days VWAP aligns with a monthly view, making it ideal for tracking intermediate trends. Traders can anchor the indicator to a specific date (similar to anchored VWAP) to analyze trends from key events, like earnings releases. Combine with volume profiles or other indicators (e.g., RSI for overbought/oversold conditions) to validate signals. For instance, in a 30-day uptrend, if price pulls back to the long-term ribbon with low volume, it may present a buying opportunity. Advantages and Limitations Advantages: Volume integration makes it more responsive to market participation than standard GMMA, reducing false signals in volatile markets. It's versatile across assets like stocks, crypto, and forex, and particularly effective for trend-following strategies over 30+ days. Limitations: It can lag in choppy, range-bound markets, and over-reliance on historical data (especially the 30-60 periods) may miss rapid intraday shifts. Always backtest on your specific timeframe and asset.
Wskaźnik Pine Script®
od akghuf19ag24
1
TSM 50 DMA & 200 DMA STRATEGY (NR + One Signal)TSM 50 DMA & 200 DMA Strategy is a trend-following system designed to identify high-probability breakouts using moving average structure and momentum confirmation. The strategy generates: ✅ BUY Signal when price closes above 50 DMA AND price is above 200 DMA AND RSI confirms bullish momentum AND candle is fully closed (non-repainting logic) ❌ SELL Signal when price closes below 50 DMA AND price is below 200 DMA AND RSI confirms bearish momentum
Strategia Pine Script®
od SARAVANANTamilShareMarket
Order Blocks (Lite & Strict) [VBS] VictoryByStrategy • Order Blocks ONLY (Lite & Strict) is a clean and focused Order Block indicator designed for traders who prefer clarity over clutter. Unlike multi-layered “ SMC dashboards ” that overload the chart with structure, gaps, liquidity, and internal shifts, this script does one thing — and does it well: Detects strict bullish and bearish Order Blocks based on confirmed swing breaks. This version is intentionally lightweight: Maximum 3–5 active Order Blocks Strict mitigation rules Dynamic visibility (text only appears when price is inside the zone) Automatic invalidation handling Clean, professional visual behavior It is built for traders who want actionable zones without visual noise. How It Works : Structure break is detected using confirmed swing pivots (non-repaint pivots). The last opposite candle before the break defines the Order Block. The zone remains active until invalidated (based on Close or Wick logic). When price touches the zone: Header appears dynamically. Status changes to “Mitigated”. When invalidated: Status changes to “Inv” Box is removed after a configurable hold period. No unnecessary overlays. No zigzag lines. No excessive filtering. Just structure → block → reaction. Best Markets / Pairs This indicator works best on liquid markets where structure is respected: Forex EURUSD GBPUSD USDJPY AUDUSD Metals XAUUSD (Gold) → especially strong with strict mitigation XAGUSD Crypto BTCUSD ETHUSD Indices US100 / NASDAQ US500 / S&P DAX It performs best in markets with clear impulsive moves followed by retracements. ⏱ Ideal Timeframes Scalping / Intraday 5m – 15m Pivot Length: 7–9 Cooldown: 5–8 Intraday / Swing 1H – 4H Pivot Length: 10–14 Cooldown: 8–12 Higher-Timeframe Bias Usage Many traders use: 4H OBs for bias 15m/1H for entries This script works well in that workflow. ⚙ Recommended Default Settings For most users: Swing Pivot Length: 10 Break Source: Close Max Active OBs: 4 OB Range: Wick Invalidation: Close Cooldown: 8 Lookback: 120 Hold Invalidated OB: 3 bars For more conservative traders: Increase Pivot Length to 14 Keep Invalidation = Close For aggressive traders: Use Break Source = Wick Lower Pivot Length to 7 Who This Is For Traders who prefer clean structure-based trading Smart Money / Order Flow traders Break & Retest traders Supply & Demand users who want strict zone invalidation Traders tired of overly complex SMC scripts
Wskaźnik Pine Script®
od VictoryByStrategy
Clean Market Structure PRO (BOS/CHoCH) [VBS]VictoryByStrategy • Clean Market Structure PRO (BOS/CHoCH) is a lightweight, chart-clean market structure tool designed to highlight Break of Structure (BOS) and Change of Character (CHoCH) without turning your chart into a “SMC Christmas tree”. The script detects structure using confirmed swing pivots (non-repaint by design) and offers two signal styles: Instant Break — faster and more active. Break + Retest (Confirmed) — more selective and better at filtering fake breaks, especially on volatile instruments. To keep signals practical (and not just “lines on a chart”), the PRO version includes optional confirmation layers: ATR Break Strength Filter to ignore tiny/weak breaks. Volume Confirmation to validate breaks only when participation is above average (where volume data is reliable). HTF Bias Filter (default 4H) to align breaks with higher-timeframe direction. The result is a clean structure read that you can use as: a directional context tool, a trigger for setup confirmation, or a filter to avoid trading against the higher timeframe. Recommended Defaults (Best “out of the box”) For most traders, this is the most consistent setup: Mode: Present Show Swing Structure: ON Swing Pivot Length: 10 Break Source: Close Signal Mode: Break + Retest (Confirmed) ATR Break Strength Filter: ON ATR Length: 14 Min Break Distance: 0.15 ATR Retest Tolerance: 0.10 ATR Max Bars to Wait for Retest: 25 HTF Bias Filter: OFF (keep it universal) If you want stricter trend alignment: turn it ON with HTF = 4H, MA = EMA 50 Internal Structure: OFF (enable only if you want a faster, noisier layer) Best Markets / Pairs This indicator is designed for general markets, and works well on: Forex: major and liquid pairs (EURUSD, GBPUSD, USDJPY) Metals: XAUUSD (Gold) and XAGUSD (especially with “Break + Retest”) Crypto: BTCUSD, ETHUSD (use the strength filter to reduce noise) Indices: US100/NAS100, SPX/US500, DAX (clean structure view) In general, it performs best on high-liquidity instruments where swing levels are respected and retests are common. Suggested Timeframes Scalping / Intraday: 5m–15m (with SwingLen 7–10) Intraday / Swing: 1H–4H (SwingLen 10–14 for cleaner structure) Higher-timeframe context: keep HTF Bias on 4H (default) even if you trade lower TF.
Wskaźnik Pine Script®
od VictoryByStrategy
Regime Guard (Clean Background) - Free v1.0.1 [VBS]This indicator is built with one simple objective: Help traders avoid trading when the market environment is unfavorable. Instead of generating buy or sell signals, Regime Guard focuses on identifying whether the market is in a No-Trade (compression/choppy) condition or a Tradable (normal expansion) state. It is designed to be used alongside trend or momentum tools — not as a standalone entry system. What It Does 1) Detects Volatility Compression (Squeeze) Using Bollinger Band Width percentile, the script identifies periods where volatility is unusually low compared to its recent history. Low volatility often leads to: False breakouts Whipsaws Overtrading losses When compression is detected and trend strength is weak, the background turns gray, signaling a No-Trade environment. 2) Measures Trend Strength (DMI / ADX) The script evaluates whether the market is trending or choppy using ADX. Low ADX → weak structure, higher risk of random movement Rising ADX → strengthening directional movement This helps differentiate between: Quiet compression Genuine expansion Market States The indicator operates with clean, minimal states: Gray Background → NO-TRADE Market is compressed and trend strength is weak. Risk of chop is elevated. Subtle Green Background → TRADABLE Market conditions are normal and potentially suitable for setups. No arrows. No direction bias. No false promises. This tool is about environment filtering, not prediction. Optional READY Hint A “READY” event can be enabled to highlight when: The market exits a squeeze Or ADX begins rising above a defined threshold By default, this marker is turned off to maintain a clean chart. Important: READY does not mean Buy or Sell. It simply means market conditions may be shifting back toward tradable behavior. How to Use It A simple workflow: Use a trend indicator to determine direction Use a momentum tool for timing Use Regime Guard to confirm the environment is tradable If the background is gray, consider standing aside. If conditions are tradable, then look for structured setups. Why This Exists Many traders don’t lose because of bad entries. They lose because they trade in the wrong market conditions. Regime Guard is designed to reduce that mistake. It won’t tell you where to buy or sell. It will help you decide when it makes sense to participate at all. — VictoryByStrategy
Wskaźnik Pine Script®
od VictoryByStrategy
BTC vs IGV: High-Beta Correlation [v6]BTC vs IGV: High-Beta Software Proxy Analysis Overview In the current market regime, Bitcoin has transitioned from a "Digital Gold" narrative into a high-beta liquidity asset, showing an exceptionally high correlation with the software sector. This indicator tracks the synchronicity between Bitcoin (BTC) and the BlackRock Software ETF (IGV). It is designed for traders who view BTC as a proxy for tech risk-appetite and want to spot "catch-up" opportunities when software stocks lead the way. Key Features Real-time Correlation Tracking: Calculates the 30-day Pearson Correlation Coefficient between BTC and IGV. A correlation above +0.70 (highlighted by the green background) confirms that BTC is trading in "Software Proxy" mode. Normalized Performance Overlay: Compares the percentage returns of both assets over a rolling lookback period. This allows you to see at a glance which asset is leading the trend. The "Alpha Gap" Histogram: This unique visualizer shows the divergence between IGV and BTC. Green Bars: IGV is outperforming BTC (potential "long" catch-up play for Bitcoin). Red Bars: BTC is overextended relative to the software sector. Pine Script v6 Engine: Optimized for the latest TradingView runtime, ensuring high performance and data accuracy. How to Use It Spotting the Lag: If the IGV (Blue line) starts bouncing while BTC (Orange line) is consolidating, look at the histogram. Growing green bars indicate that Bitcoin is lagging behind its macro-driver. If the correlation is high (>0.70), BTC historically "catches up" to the software sector's move. Confirming the Regime: Use the background color to understand the current market environment. If the background is grey or red, the "Software Proxy" thesis is weakening, and you should look for other drivers (like Gold or DXY). Risk Management: On lower timeframes, BTC is driven by liquidations and leverage. Use this indicator on H4 or Daily timeframes to filter out the noise and trade the structural trend. Technical Details Comparison Asset: AMEX:IGV (BlackRock Software ETF). Period: Defaulted to 30 days (adjustable). Normalization: Based on percentage change from the start of the correlation window.
Wskaźnik Pine Script®
od neosov
GC High-Prob 3-Touch + RVOLWhen publishing your script to TradingView, the description is your "sales pitch" to the community. TradingView’s moderators and users look for three things: What it does, Why it’s useful, and How to interpret it. Here is a structured, professional description you can copy and paste into the publishing field. Title Suggestion: GC High-Prob Liquidity Zones: 3-Touch + RVOL Surge Description: Overview This indicator is designed specifically for Gold (GC) and other highly liquid futures, focusing on identifying high-probability support and resistance zones. Rather than plotting every minor pivot, this script filters market noise by requiring a "clustering" of price action and institutional volume confirmation. It identifies levels where the price has been rejected at least three times within a narrow range and validates the strength of these zones using Relative Volume (RVOL). Key Features 3-Touch Requirement: The script only plots a zone once it detects 3 separate rejections at a specific price level. This identifies "battlegrounds" where supply and demand are truly established. RVOL Surge Filter: To prevent "lazy" or low-liquidity fake-outs, the zone is only highlighted if the most recent touch occurred with a volume spike (Relative Volume > 1.5x average). Dynamic Price Anchoring: Built using Pine Script v6 force_overlay, these zones are physically anchored to the price candles. They scale and move perfectly with the chart as you zoom or scroll, avoiding the "floating" issues common in standard drawing scripts. Smart Proximity: Includes a proximity filter (default $0.50 for Gold) that groups nearby wicks into a single unified zone of interest. How to Use Identify the Zone: When a Red (Resistance) or Green (Support) box appears with a thick yellow border, it indicates a high-probability institutional level. Wait for the Sweep: Look for price to "hunt" the liquidity inside the box. The Rejection: A successful trade setup often occurs when a candle wicks into the zone but closes back outside of it on high volume. Risk Management: The edges of these boxes provide clear, objective levels for stop-loss placement. Settings Pivot Strength: Adjusts how "significant" a peak must be to be recorded. (10 is recommended for 1m/5m charts). RVOL Threshold: Sets the multiplier for volume spikes. 1.5 means 150% of the recent average volume. Touch Proximity: Defines how close rejections must be to each other to be considered part of the same "cluster."
Wskaźnik Pine Script®
od jordanjewell13
1
200 EMA StackThis indicator overlays five 200-period Exponential Moving Averages (EMAs), each calculated from independently user-selected timeframes. By aggregating higher and lower timeframe EMA data onto a single chart, it enables multi-timeframe trend analysis without requiring chart switching. This provides a consolidated view of structural trend alignment and dynamic support/resistance across time horizons, improving decision-making efficiency and contextual clarity.
Wskaźnik Pine Script®
od EDAllan