Şimdi başlat

Göstergeler ve stratejiler

Fractals (VLAD_FX)//@version=5 indicator('Fractals (VLAD_FX)', overlay=true) var GRP1 = "••••••• FRACTALS •••••••" showFractals = input.bool(true, title='Show fractal points?', group=GRP1) filterFractal = input.string(title='Filter 3/5 bar fractal', defval='3', options= , group=GRP1) // Fractals isRegularFractal(mode, n) => ret = mode == 'Buy' ? high < high and high < high : mode == 'Sell' ? low > low and low > low : false ret isBWFractal(mode, n) => ret = mode == 'Buy' ? high < high and high < high and high < high and high < high : mode == 'Sell' ? low > low and low > low and low > low and low > low : false ret isFractalHigh(i) => filterFractal == '3' ? isRegularFractal('Buy', i) : isBWFractal('Buy', i + 1) isFractalLow(i) => filterFractal == '3' ? isRegularFractal('Sell', i) : isBWFractal('Sell', i + 1) plotshape(showFractals and isFractalHigh(1), title='Fractal High', style=shape.triangledown, location=location.abovebar, color=color.new(color.red, 0), offset=filterFractal == '3' ? -1 : -2, size=size.auto) plotshape(showFractals and isFractalLow(1), title='Fractal Low', style=shape.triangleup, location=location.belowbar, color=color.new(color.lime, 0), offset=filterFractal == '3' ? -1 : -2, size=size.auto) //Pivots var GRP2 = "••••••• PIVOTS •••••••" ShowPivots = input(title='Show Pivot points?', defval=false, group=GRP2) lb = input.int(5, title="Left Bars", minval = 1, inline="1", group=GRP2) rb = input.int(4, title="Right Bars", minval = 1, inline="1", group=GRP2) showHHLL = input.bool(true, title='Show HH/LL?', group=GRP2) hhCol = input.color(color.lime, 'HH', inline="2", group=GRP2) lhCol = input.color(color.red, 'LH', inline="2", group=GRP2) llCol = input.color(color.red, 'LL', inline="2", group=GRP2) hlCol = input.color(color.lime, 'HL', inline="2", group=GRP2) var pivotHighs = array.new_float(3) var pivotLows = array.new_float(3) ph = ta.pivothigh(lb, rb) ph1 = ta.valuewhen(ph, high , 1) phSince = ta.barssince(ph) pl = ta.pivotlow(lb, rb) pl1 = ta.valuewhen(pl, low , 1) hh = ph > ph1 lh = ph < ph1 ll = pl < pl1 hl = pl > pl1 _transparent = color.new(color.white, 100) plotshape(ph and ShowPivots and hh, title='HH', style=shape.triangledown, location=location.abovebar, text="HH", textcolor=showHHLL ? hhCol : _transparent, color=hhCol, offset=-rb, size=size.auto) plotshape(ph and ShowPivots and lh, title='LH', style=shape.triangledown, location=location.abovebar, text="LH", textcolor=showHHLL ? lhCol : _transparent, color=lhCol, offset=-rb, size=size.auto) plotshape(pl and ShowPivots and ll, title='LL', style=shape.triangleup, location=location.belowbar, text="LL", textcolor=showHHLL ? llCol : _transparent, color=llCol, offset=-rb, size=size.auto) plotshape(pl and ShowPivots and hl, title='HL', style=shape.triangleup, location=location.belowbar, text="HL", textcolor=showHHLL ? hlCol : _transparent, color=hlCol, offset=-rb, size=size.auto) var lastPH = "na" var lastPL = "na" if ph if hh lastPH := 'HH' else if lh lastPH := 'LH' // label.new(bar_index, high, str.tostring(lastPH), style=label.style_none, textcolor=color.white)
Pine Script® göstergesi
putikvladislav tarafından
Pairs Trading Scanner [BackQuant]Pairs Trading Scanner What it is This scanner analyzes the relationship between your chart symbol and a chosen pair symbol in real time. It builds a normalized “spread” between them, tracks how tightly they move together (correlation), converts the spread into a Z-Score (how far from typical it is), and then prints clear LONG / SHORT / EXIT prompts plus an at-a-glance dashboard with the numbers that matter. Why pairs at all? Markets co-move. When two assets are statistically related, their relationship (the spread) tends to oscillate around a mean. Pairs trading doesn’t require calling overall market direction you trade the relative mispricing between two instruments. This scanner gives you a robust, visual way to find those dislocations, size their significance, and structure the trade. How it works (plain English) Step 1 Pick a partner: Select the Pair Symbol to compare against your chart symbol. The tool fetches synchronized prices for both. Step 2 Build a spread: Choose a Spread Method that defines “relative value” (e.g., Log Spread, Price Ratio, Return Difference, Price Difference). Each lens highlights a different flavor of divergence. Step 3 Validate relationship: A rolling Correlation checks if the pair is moving together enough to be tradable. If correlation is weak, the scanner stands down. Step 4 Standardize & score: The spread is normalized (mean & variability over a lookback) to form a Z-Score . Large absolute Z means “stretched,” small means “near fair.” Step 5 Signals: When the Z-Score crosses user-defined thresholds with sufficient correlation , entries print: LONG = long chart symbol / short pair symbol, SHORT = short chart symbol / long pair symbol, EXIT = mean reversion into the exit zone or correlation failure. Core concepts (the three pillars) Spread Method Your definition of “distance” between the two series. Guidance: Log Spread: Focuses on proportional differences; robust when prices live on different scales. Price Ratio: Classic relative value; good when you care about “X per Y.” Return Difference: Emphasizes recent performance gaps; nimble for momentum-to-mean plays. Price Difference: Straight subtraction; intuitive for similar-scale assets (e.g., two ETFs). Correlation A rolling score of co-movement. The scanner requires it to be above your Min Correlation before acting, so you’re not trading random divergence. Z-Score “How abnormal is today’s spread?” Positive = chart richer than pair; negative = cheaper. Thresholds define entries/exits with transparent, statistical context. What you’ll see on the chart Correlation plot (blue line) with a dashed Min Correlation guide. Above the line = green zone for signals; below = hands off. Z-Score plot (white line) with colored, dashed Entry bands and dotted Exit bands. Zero line for mean. Normalized spread (yellow) for a quick “shape read” of recent divergence swings. Signal markers : LONG (green label) when Z < –Entry and corr OK, SHORT (red label) when Z > +Entry and corr OK, EXIT (gray label) when Z returns inside the Exit band or correlation drops below the floor. Background tint for active state (faint green for long-spread stance, faint red for short-spread stance). The two built-in dashboards Statistics Table (top-right) Pair Symbol Your chosen partner. Correlation Live value vs. your minimum. Z-Score How stretched the spread is now. Current / Pair Prices Real-time anchors. Signal State NEUTRAL / LONG / SHORT. Price Ratio Context for ratio-style setups. Analysis Table (bottom-right) Avg Correlation Typical co-movement level over your window. Max |Z| The recent extremes of dislocation. Spread Volatility How “lively” the spread has been. Trade Signal A human-readable prompt (e.g., “LONG A / SHORT B” or “NO TRADE” / “LOW CORRELATION”). Risk Level LOW / MEDIUM / HIGH based on current stretch (absolute Z). Signals logic (plain English) Entry (LONG): The spread is unusually negative (chart cheaper vs pair) and correlation is healthy. Expect mean reversion upward in the spread: long chart, short pair. Entry (SHORT): The spread is unusually positive (chart richer vs pair) and correlation is healthy. Expect mean reversion downward in the spread: short chart, long pair. Exit: The spread relaxes back toward normal (inside your exit band), or correlation deteriorates (relationship no longer trusted). A quick, repeatable workflow 1) Choose your pair in context (same sector/theme or known macro link). Think: “Do these two plausibly co-move?” 2) Pick a spread lens that matches your narrative (ratio for relative value, returns for short-term performance gaps, etc.). 3) Confirm correlation is above your floor no corr, no trade. 4) Wait for a stretch (Z beyond Entry band) and a printed LONG / SHORT . 5) Manage to the mean (EXIT band) or correlation failure; let the scanners’ state/labels keep you honest. Settings that matter (and why) Spread Method Defines the “mispricing” you care about. Correlation Period Longer = steadier regime read, shorter = snappier to regime change. Z-Score Period The window that defines “normal” for the spread; it sets the yardstick. Use Percentage Returns Normalizes series when using return-based logic; keep on for mixed-scale assets. Entry / Exit Thresholds Set your stretch and your target reversion zone. Wider entries = rarer but stronger signals. Minimum Correlation The gatekeeper. Raising it favors quality over quantity. Choosing pairs (practical cheat sheet) Same family: two index ETFs, two oil-linked names, two gold miners, two L1 tokens. Hedge & proxy: stock vs. sector ETF, BTC vs. BTC index, WTI vs. energy ETF. Cross-venue or cross-listing: instruments that are functionally the same exposure but price differently intraday. Reading the cues like a pro Divergence shape: The yellow normalized spread helps you see rhythm fast spike and snap-back versus slow grind. Corr-first discipline: Don’t fight the “Min Correlation” line. Good pairs trading starts with a relationship you can trust. Exit humility: When Z re-centers, let the EXIT do its job. The edge is the journey to the mean, not overstaying it. Frequently asked (quick answers) “Long/Short means what exactly?” LONG = long the chart symbol and short the pair symbol. SHORT = short the chart symbol and long the pair symbol. “Do I need same price scales?” No. The spread methods normalize in different ways; choose the one that fits your use case (log/ratio are great for mixed scales). “What if correlation falls mid-trade?” The scanner will neutralize the state and print EXIT . Relationship first; trade second. Field notes & patterns Snap-back days: After a one-sided session, return-difference spreads often flag cleaner intraday mean reversions. Macro rotations: Ratio spreads shine during sector re-weights (e.g., value vs. growth ETFs); look for steady corr + elevated |Z|. Event bleed-through: If one symbol reacts to news and its partner lags, Z often flags a high-quality, short-horizon re-centering. Display controls at a glance Show Statistics Table Live state & key numbers, top-right. Show Analysis Table Context/risk read, bottom-right. Show Correlation / Spread / Z-Score Toggle the sub-charts you want visible. Show Entry/Exit Signals Turn markers on/off as needed. Coloring Adjust Long/Short/Neutral and correlation line colors to match your theme. Alerts (ready to route to your workflow) Pairs Long Entry Z falls through the long threshold with correlation above minimum. Pairs Short Entry Z rises through the short threshold with correlation above minimum. Pairs Trade Exit Z returns to neutral or the relationship fails your correlation floor. Correlation Breakdown Rolling correlation crosses your minimum; relationship caution. Final notes The scanner is designed to keep you systematic: require relationship (correlation), quantify dislocation (Z-Score), act when stretched, stand down when it normalizes or the relationship degrades. It’s a full, visual loop for relative-value trading that stays out of your way when it should and gets loud only when the numbers line up.
Pine Script® göstergesi
BackQuant tarafından
Risk Management & Auto-Close (v6)This strategy is a dual moving average crossover system designed for reliable backtesting and trade management. It opens trades on fast/slow MA crossovers and includes multiple built-in risk controls to ensure every trade is properly simulated in TradingView’s Strategy Tester. Key Features: 📈 MA Crossover Logic: Choose between SMA, EMA, or WMA with adjustable fast/slow periods. 🔄 Auto Flip Positions: Automatically closes the opposite trade before opening a new one. 🎯 Risk Management: Optional take profit, stop loss, and trailing stop parameters. ⏳ Auto-Close: Forces trades to close after a set number of bars (avoids “open forever” trades). 🧪 Debug Tools: Labels, counters, and optional forced trades for testing and diagnostics. 📊 Status Table: Displays signals, trades, and net profit directly on the chart. This makes it ideal for traders who want a clean backtest report, easy visualization of signals, and confidence that the strategy logic executes properly across different timeframes and instruments.
Pine Script® göstergesi
Jaxon007 tarafından
NY Anchored VWAP and Auto SMAThis NY Anchored VWAP and Auto SMA script is a powerful combination of two of the most popular technical indicators, designed to help you identify the intraday trend and potential shifts in market momentum. It stands out by automatically adjusting to current volatility, providing more adaptive and reliable signals than standard moving averages. How It Works This script combines a New York session-anchored VWAP with a dynamic Simple Moving Average (SMA) that automatically adjusts its length based on market volatility. New York Anchored VWAP: The VWAP (Volume-Weighted Average Price) resets at the beginning of the New York trading session. This allows it to accurately track the average price paid by traders for the day, providing a key benchmark for identifying whether the price is trading at a premium or a discount relative to the volume-driven trend. The color of the VWAP line itself changes to indicate its slope: green for an upward trend and red for a downward trend. Auto SMA: The script calculates a Simple Moving Average (SMA) but with a twist. It uses the Average True Range (ATR) to measure market volatility. When volatility is high, the SMA's lookback period automatically shortens to make it more responsive to price changes. Conversely, when volatility is low, the lookback period lengthens to smooth out the data and reduce noise. This dynamic adjustment helps the SMA stay relevant in all market conditions. Key Features Adaptive Lookback: The Auto SMA dynamically adjusts to market volatility, providing more responsive signals during volatile periods and smoother, more reliable signals during calm periods. Color-Coded VWAP: The VWAP line changes color to instantly show the direction of the trend, making it easy to see at a glance if the average price is rising or falling. Automated Alerts: The script provides automated alerts for when the VWAP crosses above or below the Auto SMA, signaling potential bullish or bearish momentum shifts. Customizable Settings: You can hide the VWAP on daily or higher timeframes and change the source for the VWAP calculation to suit your specific trading style. This tool is perfect for intraday and swing traders who want a more intelligent and adaptive way to measure trend direction and identify potential trading opportunities.
Pine Script® göstergesi
immediatePerso44773 tarafından
VWAP + Range Breakout (Pre-Signal for Manual Entry)WHAT IT DOES This tool highlights potential breakout opportunities when price sweeps the previous day’s high or low and aligns with VWAP and short-term range levels. It provides both pre-signals (early warnings) and confirmed signals (breakout closed) so traders can prepare before momentum accelerates. Works on all timeframes and across markets (indices, forex, crypto). Especially useful during active London and New York sessions. --- KEY FEATURES Daily sweep logic: previous day high/low as liquidity reference VWAP with cumulative calculation Adjustable range breakout levels Optional SMA trend filter Session filter (London / NY trading hours) Pre-Signal markers (early alert before breakout) Confirmed LONG/SHORT signals after breakout close Alerts for Pre-Long, Pre-Short, and Confirmed entries --- HOW TO USE 1. Wait for price to sweep the previous day high/low. 2. Look for alignment with VWAP and the defined range breakout levels. 3. Use trend/session filters for higher accuracy. 4. Combine with your own risk management rules. --- SETTINGS TIPS Adjust range lookback for different timeframes (shorter for fast intraday, longer for higher timeframes). Enable/disable session filters depending on your market. Use SMA trend filter to stay aligned with higher-timeframe bias. --- WHO IT’S FOR Scalpers, intraday, and swing traders who want early signals when liquidity is taken and price is preparing for a breakout. --- NOTES For educational purposes only. No financial advice. This script is open-source; redistribution follows TradingView rules.
Pine Script® göstergesi
ChartEdgePro tarafından
1
Multi-Symbol RSI/ADX Monitor# 📊 Multi-Symbol RSI/ADX Monitor + EMA Trend Analyzer ### 🔹 Smart Trend Analyzer with Golden/Death Cross Signals + Multi-Symbol Scanner --- ## 📌 Overview The **Multi-Symbol RSI/ADX Monitor + EMA Trend Analyzer** combines **trend detection**, **crossover signals**, and a **multi-asset strength scanner** into a single tool. - 🔹 **EMA Trend Analyzer** → Detects strong/weak bullish & bearish phases based on price vs EMAs, slope, and crossovers. - 🔹 **RSI/ADX Scanner** → Monitors up to **10 custom tickers** in a dynamic table for relative strength & momentum. - 🔹 **Alerts** → Catch **Strong Trends** or **Golden/Death Crosses** instantly. Perfect for traders who want to track **trend bias** on their main chart while scanning **other assets for confirmation**. --- ## ✨ Key Features ### 🔹 EMA Trend Analyzer - ✅ Plots **Fast EMA (20)** & **Slow EMA (50)**. - ✅ Main **Trend EMA (100)** with slope confirmation. - ✅ Detects **5 Market States**: - 🟢 Strong Bullish (Green) - 🟢 Moderate Bullish (Lime) - 🟠 Moderate Bearish (Orange) - 🔴 Strong Bearish (Red) - ⚪ Neutral / Sideways (Gray) - ✅ Highlights **Golden Cross** & **Death Cross**: - 🎯 Golden Cross → Fast EMA crosses above Slow EMA (Green dot + label) - 🎯 Death Cross → Fast EMA crosses below Slow EMA (Red dot + label) - ✅ Dynamic **trend label** on the right edge (shows trend + crossover info). - ✅ Optional **background shading** by trend strength. --- ### 🔹 Multi-Symbol RSI/ADX Monitor - ✅ Track up to **10 tickers** simultaneously. - ✅ Calculates **RSI & ADX** per symbol on the current chart’s timeframe. - ✅ **Table display** with flexible position (top, middle, bottom). - ✅ Highlights assets meeting both **RSI ≥ Threshold** & **ADX ≥ Threshold**. - ✅ Handles empty slots gracefully → `"No symbols selected"`. --- ### 🔹 Alerts - 📢 **Strong Bullish Trend** - 📢 **Strong Bearish Trend** - 📢 **Golden Cross (EMA Fast > Slow)** - 📢 **Death Cross (EMA Fast < Slow)** --- ## 📖 How to Use 1. **EMA Analyzer** - Enable *“Show Trend Direction”* to see EMA-based market bias. - Look for **color-coded labels** & **background shading** to guide bias. - Watch for **Golden/Death Cross dots** as entry/exit signals. 2. **RSI/ADX Scanner** - Enter up to **10 tickers** (e.g., `NASDAQ:AAPL`, `BINANCE:BTCUSDT`). - Adjust **RSI/ADX Lengths & Thresholds** to match your strategy. - Monitor the **table panel** for which markets show **strong trend confirmation**. 3. **Alerts** - Add alerts to catch **trend shifts** or **crossovers** without watching charts 24/7. --- ## 🎯 Best For - ✅ Trend traders - ✅ Swing traders - ✅ Multi-asset confluence trading - ✅ Traders using **EMA + RSI + ADX confirmation** --- ## ⚠️ Disclaimer This script is for **educational purposes only**. It is **not financial advice**. Please trade responsibly. ---
Pine Script® göstergesi
ask2maniish tarafından
RSI ScannerRSI Scanner This script scans a custom list of symbols and displays their RSI values for a selected higher timeframe (default: 3M). It provides a quick way to monitor multiple markets in one place without switching charts. Features: Customizable timeframe for RSI calculation (default: 3M). Adjustable RSI length and source input. Flexible filter: display all symbols or only those with RSI above a chosen threshold. Input your own list of symbols (stocks, forex, futures, crypto) via a text field. Results displayed in a clean, table directly on the chart. Automatic column split when the symbol list is long. Table header shows selected timeframe and filter settings for clarity. How to use: Add the script to your chart. Open the Inputs panel. In Symbols List, enter the tickers you want to track, separated by commas (e.g. AAPL, TSLA, EURUSD, BTCUSD). Set the desired Timeframe (e.g. 3M, 1M, W). Adjust RSI Length and Source if needed. Enable or disable filtering: If filtering is enabled, only symbols with RSI ≥ the threshold will be shown. If disabled, all entered symbols will be displayed. The table in the top-right corner will update automatically on the last bar. Use cases: Monitor RSI across different asset classes on higher timeframes. Quickly spot overbought symbols (e.g. RSI > 70) without switching charts. Create a custom multi-market watchlist tailored to your strategy.
Pine Script® göstergesi
dboichenko tarafından
Irrationality Index by CRYPTO_ADA_BTC"The market can be irrational longer than you can stay solvent" ~ John Maynard Keynes This indicator, the Irrationality Index, measures how far the current market price has deviated from a smoothed estimate of its "fair value," normalized for recent volatility. It provides traders with a visual sense of when the market may be behaving irrationally, without giving direct buy or sell signals. How it works: 1. Fair Value Calculation The indicator estimates a "fair value" for the asset using a combination of a long-term EMA (exponential moving average) and a linear regression trend over a configurable period. This fair value serves as a smoothed baseline for price, balancing trend-following and mean-reversion. 2. Volatility-Adjusted Z-Score The deviation between price and fair value is measured in standard deviations of recent log returns: Z = (log(price) - log(fairValue)) / volatility This standardization accounts for different volatility environments, allowing comparison across assets. 3. Irrationality Score (0–100) The Z-score is transformed using a logistic mapping into a 0–100 scale: - 50 → price near fair value (rational zone) - >75 → high irrationality, price stretched above fair value - >90 → extreme irrationality, unsustainable extremes - <25 → high irrationality, price stretched below fair value - <10 → extreme bearish irrationality 4. Price vs Fair Value (% deviation) The indicator plots the percentage difference between price and fair value: pctDiff = (price - fairValue) / fairValue * 100 - Positive values → Percentage above fair value (optimistic / overvalued) - Negative values → Percentage below fair value (pessimistic / undervalued) Visuals: - Irrationality (%) Line (0–100) shows irrationality level. - Background Colors: Yellow= high bullish irrationality, Green= extreme bullish irrationality, Orange= high bearish irrationality, Red= extreme bearish irrationality. - Price - FairValue (%) plot: price deviation vs fair value (%), Colored green above 0 and red below 0. - Label: display actual price, estimated fair value, and Z-score for the latest bar. - Alerts: configurable thresholds for high and extreme irrationality. How to read it: - 50 → Market trading near fair value. - >75 / >90 → Price may be irrationally high; risk of pullback increases. - <25 / <10 → Price may be irrationally low; potential rebound zones, but trends can continue. - Price - FairValue (%) plot → visual guide for % price stretch relative to fair value. Notes / Warnings: - Measures relative deviation, not fundamental value! - High irrationality scores do not automatically indicate trades; markets can remain can be irrational longer than you can stay solvent . - Best used with other tools: momentum, volume, divergence, and multi-timeframe analysis.
Pine Script® göstergesi
CRYPTO_ADA_BTC tarafından
Mongoose Unified Volatility Index (UVI) The Mongoose Unified Volatility Index (UVI) combines multiple volatility measures into a single normalized framework, helping traders track the full volatility cycle at a glance. Methodology UVI blends the following components: Bollinger Band Width% ATR% (Average True Range) Historical Volatility (close-to-close) Parkinson Volatility (high-low log range) Donchian Width% TR% (True Range percent) Each input is normalized into a 0–100 scale and weighted. A smoothed EMA acts as a trend filter. Adaptive percentiles define Quiet / Neutral / Active regimes, making UVI responsive across assets and timeframes. Features Composite Line (UVI) with dynamic coloring Green = volatility expanding above EMA Red = volatility decaying below EMA EMA Baseline (white) for context Regime Shading (Quiet, Neutral, Active) based on adaptive percentiles Expansion Signals (Exp Up / Exp Dn) when volatility crosses EMA around squeeze conditions Compact Stats Table (top-right) showing UVI, Percentile, Squeeze state, and Regime How to Use Quiet → Exp Up: Prime breakout setups. Market energy igniting. Active → Exp Dn: Trend exhaustion. Manage risk or fade extremes. Neutral Regime: Mid-volatility, expect chop and tactical swings. Gradient Fill: Quick bias check — green favors trend trades, red favors patience. UVI is best used as a volatility state detector to time entries/exits around compressions and expansions, rather than a standalone buy/sell tool.
Pine Script® göstergesi
TheRealMongoose tarafından
PORSCHEThe PORSCHE indicator is a combined, all-in-one Pine v5 tool for intraday and swing traders. It merges a Full Combo suite (EMA clouds, EMA band, Hull moving-average bands, UT Bot signals and a Swing High/Low detector) with Traders Reality features (yesterday/last-week high & low, PVSRA vector candles and configurable Vector Candle Zones). At the end it also adds a Sessions module that plots Asia, Sydney, Tokyo, Shanghai, Europe/London, New York and NYSE session boxes and an information table. All original inputs, styles and alert conditions are preserved. Ideal for traders who want a multi-feature overlay to identify trend direction, high-probability zones, session structure and key swing levels — but note it draws many graphics and zones so it can be resource-heavy on lower-spec setups or very long histories.
Pine Script® göstergesi
RaulMPM tarafından