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Swing Confluence ProConfluence Scoring (1-4): Each bar gets scored based on how many of these align — EMA trend, MACD momentum, RSI direction, and volume surge. You control the minimum score needed to trigger a signal (default 3/4). Key features: Green/red arrows with intensity based on signal strength (4/4 = brightest) Auto-calculated SL and TP1/TP2 levels using ATR, plotted as horizontal lines that persist until hit Duplicate signal prevention — won't spam buy arrows, waits for a sell before the next buy All parameters are customizable in the settings panel
Pine Script® インジケーター
lidornissim44の投稿
Super Trend + Stoch/RSI + Tolerance + 3 TPI like Simple Strategy and just code one using super trend and Stochastic RSI But like All super trend strategy buy and sell signal most of the time are to late So I am using the super trend like indicator for trend direction and Stochastic RSI for pull back and if direction is ok we get in trade but only when tolerance% is close to the trend 3 tp to take profit and % how much can be take If is not 100% of the trade size change direction of the trend will close the rest There is A choice if you want to use fixed sum for the trades or increase the size of the trade after # of losing trades The increase of the size is working like D'Alembert System If any Questions Let Me Know Happy Trading
Pine Script® ストラテジー
fullmaxの投稿
1
Williams Fractals by YoungAWilliams Fractals - Dynamic Period Indicator This indicator identifies fractal patterns on the chart based on Bill Williams' fractal theory. A fractal is a price formation where the middle candle has the highest high (for down fractal) or lowest low (for up fractal) compared to surrounding candles. Key Features: - Customizable period - set any number of bars on each side (n=1 for 3-bar fractal, n=2 for 5-bar fractal, etc.) - Down Fractal (▼) - white triangle above the bar indicates a local high - Up Fractal (▲) - white triangle below the bar indicates a local low - Non-repainting - fractals appear only after the required number of confirmation bars have closed - 50% transparency for better chart visibility How it works: The indicator checks if the central bar's high/low is the highest/lowest among n bars to the left and n bars to the right. Fractals are displayed with an offset to show exactly where the pattern formed. Perfect for: ✓ Identifying potential reversal points ✓ Drawing support/resistance levels ✓ Combined with other Bill Williams indicators (Alligator, Awesome Oscillator) ✓ Multi-timeframe analysis Coded by: YoungA
Pine Script® インジケーター
YoungAの投稿
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
Pine Script® インジケーター
VictoryByStrategyの投稿
NY Open (1st Hour) StatsMorning Play (London Session): Between 2:00 AM and 8:00 AM, some kids play in the sandbox. They leave their toys at the very top edge and the very bottom edge of the box (the London High and Low). The 8:00 AM Check: At 8:00 AM, your teacher comes out and looks at where you are standing. If you are standing in the bottom half of the sandbox, the teacher knows you probably want to go grab the toys left at the very bottom edge. The Magnet (The Setup): Because you are already close to the bottom, those toys at the edge act like a magnet. You are very likely to run over and "sweep" them up. The Result: The math shows that 9 out of 10 times (90%), if you start in the bottom half at 8:00 AM, you will eventually run all the way to that bottom edge to get those toys before the day is over.
Pine Script® インジケーター
dukefriend001の投稿
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.
Pine Script® インジケーター
akghuf19ag24の投稿
1
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.
Pine Script® インジケーター
neosovの投稿
SMC Scalper PRO v6 (Stable Zones Fixed)//@version=6 indicator("SMC Scalper PRO v6 (Stable Zones Fixed)", overlay=true) // ================= INPUTS ================= htf_tf = input.timeframe("60", "HTF Bias Timeframe") ema_len = input.int(50, "HTF EMA Length") rr = input.float(2.0, "Risk Reward", step=0.1) atr_len = input.int(14, "ATR Length") atr_mult = input.float(1.2, "ATR Multiplier", step=0.1) pivot_len = input.int(3, "Swing Length") zone_width_bars = input.int(15, "Zone width (bars)", minval=1) // ================= HTF BIAS ================= htf_close = request.security(syminfo.tickerid, htf_tf, close) htf_ema = request.security(syminfo.tickerid, htf_tf, ta.ema(close, ema_len)) bullBias = htf_close > htf_ema bearBias = htf_close < htf_ema plot(htf_ema, color=color.orange, title="HTF EMA") // ================= SWING STRUCTURE ================= ph = ta.pivothigh(high, pivot_len, pivot_len) pl = ta.pivotlow(low, pivot_len, pivot_len) var float lastHigh = na var float lastLow = na if not na(ph) lastHigh := ph if not na(pl) lastLow := pl // ================= LIQUIDITY SWEEP ================= sweepUp = not na(lastHigh) and high > lastHigh and close < lastHigh sweepDown = not na(lastLow) and low < lastLow and close > lastLow plotshape(sweepUp, location=location.abovebar, color=color.yellow, style=shape.triangleup, size=size.tiny, title="Buy-side Sweep") plotshape(sweepDown, location=location.belowbar, color=color.aqua, style=shape.triangledown, size=size.tiny, title="Sell-side Sweep") // ================= MSS ================= bullMSS = not na(lastHigh) and close > lastHigh bearMSS = not na(lastLow) and close < lastLow // ================= ENTRY CONDITIONS ================= longSignal = bullBias and sweepDown and bullMSS shortSignal = bearBias and sweepUp and bearMSS // ================= RISK ================= atr = ta.atr(atr_len) slBuffer = atr * atr_mult // persistent references for boxes (so we can delete old ones) var box slBox = na var box tpBox = na // function to safely delete a box reference safe_delete_box(ref boxToDelete) => if not na(boxToDelete) box.delete(boxToDelete) // return na so caller can assign na back na else boxToDelete // LONG path if longSignal entry = close sl = low - slBuffer tp = entry + (entry - sl) * rr // delete previous boxes (if any) slBox := safe_delete_box(slBox) tpBox := safe_delete_box(tpBox) // Create SL zone (named params) slBox := box.new( left=bar_index, top=entry, right=bar_index + zone_width_bars, bottom=sl, bgcolor=color.new(color.red, 85), border_color=color.red, extend=extend.right ) // Create TP zone (named params) tpBox := box.new( left=bar_index, top=tp, right=bar_index + zone_width_bars, bottom=entry, bgcolor=color.new(color.green, 85), border_color=color.green, extend=extend.right ) // Labels label.new(x=bar_index, y=entry, text="LONG", style=label.style_label_up, color=color.green, textcolor=color.white) label.new(x=bar_index, y=sl, text="SL " + str.tostring(sl, format.mintick), style=label.style_label_down, color=color.red, textcolor=color.white) label.new(x=bar_index, y=tp, text="TP " + str.tostring(tp, format.mintick), style=label.style_label_up, color=color.green, textcolor=color.white) // SHORT path if shortSignal entry = close sl = high + slBuffer tp = entry - (sl - entry) * rr // delete previous boxes (if any) slBox := safe_delete_box(slBox) tpBox := safe_delete_box(tpBox) // Create SL zone (named params) slBox := box.new( left=bar_index, top=sl, right=bar_index + zone_width_bars, bottom=entry, bgcolor=color.new(color.red, 85), border_color=color.red, extend=extend.right ) // Create TP zone (named params) tpBox := box.new( left=bar_index, top=entry, right=bar_index + zone_width_bars, bottom=tp, bgcolor=color.new(color.green, 85), border_color=color.green, extend=extend.right ) // Labels label.new(x=bar_index, y=entry, text="SHORT", style=label.style_label_down, color=color.red, textcolor=color.white) label.new(x=bar_index, y=sl, text="SL " + str.tostring(sl, format.mintick), style=label.style_label_up, color=color.red, textcolor=color.white) label.new(x=bar_index, y=tp, text="TP " + str.tostring(tp, format.mintick), style=label.style_label_down, color=color.green, textcolor=color.white) // ================= ALERTS ================= alertcondition(longSignal, title="SMC LONG", message="SMC Long Signal") alertcondition(shortSignal, title="SMC SHORT", message="SMC Short Signal")
Pine Script® インジケーター
alimansoorfxの投稿
Market Liquidity IndicatorThe strategy identifies institutional "Ignition" points where price breaks a key macro level (VWAP) with significant volume and order flow support. It assumes that a clean breakout, backed by high relative volume (RVOL) and aggressive buying/selling pressure (CVD Slope), will result in a sustainable trend. Risk is managed via a "Profit-Only Trailing Stop" mechanism, which enforces a hard floor for losses but allows profits to run uncapped until the trend bends Timeframe: This strategy is hardcoded to look at 1-minute data for its decision engine (RVOL/CVD), regardless of the chart timeframe. However, it is recommended to run it on a 5-minute chart for visual clarity. Execution: GOL (Green Arrow): Go Long. GOS (Red Arrow): Go Short. Exits: 1 Brick = 0.1% of Entry Price. Trailing Stop Loss: Retrace from Extreme High/Low ± 3 Bricks. Stop Out: +/- 3 Bricks from Entry Price Works well with Stocks - 5 min TF. For Index 10 min TF works well. However do play around to get your best fit. Happy Profitable Trading! Have fun!
Pine Script® インジケーター
razcadsの投稿
multi assett1222This scanner is designed to identify high-probability trading opportunities using a rules-based, momentum-driven strategy. It filters the market based on trend direction, volume confirmation, and key technical indicators to surface stocks/crypto/forex pairs showing strong potential setups. The scanner focuses on: Trend alignment across multiple timeframes Volume spikes and unusual activity Momentum shifts and breakout signals Volatility expansion for strong price movement Built for active traders and swing traders, this tool helps eliminate noise and highlights assets that meet strict, data-driven criteria. Whether you're trading breakouts, pullbacks, or continuation patterns, this scanner streamlines your workflow and keeps you focused on high-quality setups.
Pine Script® インジケーター
trader3332の投稿
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.
Pine Script® インジケーター
akghuf19ag24の投稿
1
VWAP (ARCHI)VWAP Bands — Volume Weighted Average Price with Deviation Bands Overview **VWAP Bands** is an advanced VWAP indicator featuring automatic standard deviation bands (±1σ, ±2σ, ±3σ), multiple anchor period options, and fully customizable visuals. Designed for intraday and swing traders who use volume-weighted levels for decision-making. 🔑 Key Features 📐 **Anchored VWAP** — Choose your reset period: Session (default), Week, Month, Quarter, or Year. VWAP resets at the beginning of each period. 📊 **Deviation Bands** — Three levels of standard deviation bands (±1σ, ±2σ, ±3σ) highlight statistical zones of overextension relative to the volume-weighted mean price. 🎨 **Full Customization** — Adjustable colors, line widths, band fills, and edge labels. Toggle each band on/off independently. 📍 **Previous VWAP Close** — Optionally display the closing VWAP level from the previous session as a key reference point. 📈 How to Use Identifying Value Zones - Price **at VWAP** = fair value. Institutional traders benchmark execution quality against VWAP. - Price **above VWAP** = buyers in control, bullish bias. - Price **below VWAP** = sellers in control, bearish bias. Mean Reversion Trading - Price touches **±2σ** = extreme deviation, look for a reversal back to VWAP. - Price touches **±3σ** = very rare event, high probability of a pullback. - **±1σ** = normal volatility range, not a standalone signal. Trend vs Range - **Trending market**: Price stays on one side of VWAP, bands widen. - **Ranging market**: Price oscillates around VWAP, bands contract. ### Confluence Trading Combine VWAP Bands with horizontal support/resistance levels. When a VWAP band aligns with a key level — that's a high-probability zone for entries. ⚙️ Settings | Parameter | Default | Description | |-----------|---------|-------------| | Anchor Period | Session | VWAP reset period (Session/Week/Month/Quarter/Year) | | Source | hlc3 | Price source (hlc3, close, ohlc4) | | Band 1 Multiplier | 1.0 | First band (±1σ) | | Band 2 Multiplier | 2.0 | Second band (±2σ) | | Band 3 Multiplier | 3.0 | Third band (±3σ) | | Fill Bands | ✅ | Color fill between bands | | Show Labels | ✅ | Labels at band edges | | Prev VWAP Close | ❌ | Previous session VWAP close level | 💡 Tips 1. **Intraday (M5–H1):** Use Anchor = Session. VWAP resets daily. 2. **Swing (H4–D1):** Use Anchor = Week or Month for broader context. 3. **Forex/Gold:** Source `hlc3` provides the closest approximation to tick-based VWAP. 4. **Stocks:** Session VWAP matches the standard institutional benchmark. ⚠️ Note This indicator calculates VWAP from bar data (OHLCV), not tick data. On lower timeframes (M1–M5), accuracy is near-perfect. On higher timeframes (H4+), slight deviations from tick-based VWAP may occur — this is a fundamental limitation of bar-based calculation.
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tamerlanmma94の投稿
Volume ChannelThis tool integrates adaptive volatility channel boundaries with real-time volume analysis to clearly highlight directional bias, structural breakouts, and areas of concentrated buying or selling pressure, helping users precisely identify key trading zones. 本工具融合了自适应波动率通道边界与实时成交量分析，能够清晰呈现方向性偏向、结构性突破以及买卖压力密集区，帮助用户精准识别关键交易区域。
Pine Script® インジケーター
TVUE001の投稿
Gold vs USD Strength Oscillator THE FIRST IN THE WORLD 🔶 Gold vs USD Strength Oscillator Institutional Cross-Market Strength Model This tool measures the relative internal strength of Gold versus the U.S. Dollar using a composite currency framework rather than a single USD pair. Instead of relying on DXY alone, it builds a custom-weighted USD strength index from the major currency flows that actually move the dollar. ⸻ 🧠 What It Actually Does 1️⃣ Builds a Real USD Strength Model (Composite Index) The script pulls live price data from: • EURUSD • USDJPY • GBPUSD • USDCAD • AUDUSD • USDCHF • NZDUSD Each pair is weighted institutionally: • EUR (30%) • JPY (20%) • GBP (15%) • CAD (10%) • AUD (10%) • CHF (7.5%) • NZD (7.5%) Pairs quoted as XXXUSD are inverted internally so USD strength increases correctly when those pairs fall. This creates a synthetic USD index that reflects true global dollar demand — not just one futures contract. ⸻ 2️⃣ Converts Raw Price Into Strength Momentum Both: • The composite USD index • Gold (XAUUSD) are transformed into momentum strength curves using a smoothing algorithm over your selected Strength Length (default 21). This normalizes price movement into a clean 0–100 strength scale. Result: • Black Line → Gold Strength • Lime Line → USD Composite Strength You are no longer watching price. You are watching momentum dominance flow. ⸻ 3️⃣ The Cross Logic (Quant Momentum Trigger) Signals are not random. They are generated when Gold Strength crosses the USD Strength curve. • BUY → Gold strength crosses ABOVE USD strength • SELL → Gold strength crosses BELOW USD strength This is a relative strength momentum shift, not a price crossover. And by default, signals confirm only on candle close to eliminate noise. ⸻ 📊 What the Levels Mean • 50 → Equilibrium (neutral dominance zone) • 66 → Expansion / Overextension zone • 34 → Compression / Exhaustion zone These levels help identify: • Momentum acceleration • Potential overbought conditions • Potential oversold conditions • Cross-market imbalance extremes ⸻ 🎯 Why This Is Powerful Most traders watch Gold price alone. Institutions watch: • Gold • Dollar liquidity • Cross-currency demand • Global macro flow This indicator replicates that concept in one pane. Instead of guessing direction, you see: • When gold is internally gaining strength • When dollar demand is overpowering • When momentum shifts are occurring • When divergence between the two begins It’s essentially a flow battle monitor between real assets and reserve currency pressure. ⸻ 🏛 Institutional & Quant Angle Under the hood: • Multi-asset composite modeling • Weighted currency exposure • Momentum normalization • Relative dominance crossover logic • Confirmation filtering on close • Zero lookahead bias This makes it: • Broker neutral • Timeframe adaptive • Non-repainting • Cross-market aware ⸻ 🧩 Who This Is For • Gold scalpers • Intraday momentum traders • Swing traders tracking USD flow • Macro traders monitoring dollar rotation • Anyone trading XAUUSD seriously ⸻ 🏁 In Simple Terms This tool shows: “Who is stronger right now — Gold or the Dollar?” And it tells you when that strength flips.
Pine Script® インジケーター
mikechillzの投稿
1
Multi-Coin SpaghettiMulti-Coin Spaghetti is a Pine Script v6 indicator for comparing the relative performance of multiple crypto symbols in one dedicated indicator pane. Inspiration and originality Inspired in part by "Multi-Asset Performance - By Leviathan". Implementation logic in this script was written from scratch. Some feature ideas (including parts of table analytics) were adapted conceptually and reimplemented for this workflow. What this indicator does Plots up to 20 symbols as percentage-change lines from a shared anchor. Uses one bulk Ticker List text field so you can copy/paste many symbols at once. Supports two comparison modes: Raw %: each symbol's own anchored return. Relative to Base: each symbol's outperformance/underperformance versus a selected base ticker. Supports anchor/reset modes: Visible Range Timestamp Anchor Time-based periods from 5m to 1Y Includes group context: Mean line Optional +/- N sigma deviation bands Outlier and threshold alerts Includes an auto-ranked table (sorted by current % each bar): Rank: current position by % value (1 = strongest) Symbol: ticker name (base row is marked) %: anchored performance from selected period start (depends on Comparison Mode: Raw % or Relative to Base) Delta %: bar-to-bar change in the above % value Direction: quick up/down/flat signal from Delta % RSI: 14-period RSI of that symbol r: correlation of percentage returns vs selected base ticker over 20 bars beta: relative volatility vs the selected base ticker Why the symbol input workflow matters Many multi-symbol scripts require one-by-one symbol fields. This script is designed for fast bulk paste setup using Pine v6 string/array handling. Useful when rotating baskets frequently. How symbol resolution works Input supports comma-separated or newline-separated symbols. Bare symbols can be auto-resolved using selected Exchange + Quote Currency + Market Type. Fully qualified symbols containing ":" are preserved (uppercased only). Futures mode appends ".P" where needed. Spot mode does not. Max active symbols: 20. Functional options and purpose Color palettes (Vivid, Jewel Tones, Pastel): tune contrast/readability for your chart theme. Color modes: All Colored: identity tracking for each line. Threshold Highlight: each symbol's indicator performance line is green if current % > +X, red if < -X, otherwise dim gray. Threshold Highlight affects indicator lines only. It does not color main-chart candles. Highlight Selected Ticker: isolate one symbol to inspect leadership/lagging behavior while fading others. Highlight Selected Ticker works only for symbols already present in Ticker List; non-listed symbols are ignored. Smoothing (SMA): reduce noise for cleaner trend comparison (with lag tradeoff). Period separators: make reset boundaries visually explicit. Table color modes (Threshold, Line Color, Gradient, None): choose emphasis style for your workflow. Status table: warns when more than 20 symbols are requested or data is missing. Important behavior notes In Visible Range mode, values re-anchor when you scroll/zoom. Historical values can move after viewport changes. For stable alerting behavior, prefer Timestamp or fixed time-based period modes. Missing market data for a symbol can result in no plotted line for that slot. Comparative analytics tool only, not financial advice. How to view it clearly on chart This script runs in a separate indicator pane (not over price candles). For best readability: shrink the main price pane and expand the indicator pane. Hide unnecessary chart elements/other indicators to make lines and table easier to read. Alert conditions included Deviation Outlier Cross Threshold Upside Cross Threshold Downside Cross How to add alerts in TradingView Add the indicator to chart. Click Alert (clock icon) or press Alt + A. In Condition, choose this script name. Select one of the script conditions: Deviation Outlier Cross Threshold Upside Cross Threshold Downside Cross Set alert frequency and expiration. Configure notification channels (popup/app/email/webhook). Create the alert. Alert interpretation Threshold alerts: trigger when a symbol crosses above +Threshold or below -Threshold. Deviation alerts: trigger when a symbol crosses outside configured deviation context. In Visible Range mode, historical trigger locations can shift after viewport changes.
Pine Script® インジケーター
RiccoNewmanの投稿
Rishi Heikin-Ashi Trend High‑Level Purpose of Your Strategy Your script is a Heikin‑Ashi trend‑following strategy that: 1. Enters trades when HA candles flip color - Bullish flip → potential long - Bearish flip → potential short 2. Confirms the flip using real‑price indicators - EMA trend filter - MACD histogram direction - Optional RSI filter 3. Uses ATR‑based stop‑loss and take‑profit - Risk‑based position sizing - Optional exit on opposite HA flip 4. Adds visual clarity - BUY/SELL tags - Price labels - Trend shading - Performance label It’s a complete, professional‑grade strategy.
Pine Script® ストラテジー
mrishikeshの投稿