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Sector Relative StrengthThis indicator measures a stock's Real Relative Strength against its sector benchmark, helping you identify stocks that are outperforming or underperforming their sector peers. The concept is based on the Real Relative Strength methodology popularized by the r/realdaytrading community. Unlike traditional relative strength calculations that simply compare price ratios, this indicator uses a more sophisticated approach that accounts for volatility through ATR (Average True Range), providing a normalized view of true relative performance. Key Features Automatic Sector Detection Automatically detects your stock's sector using TradingView's built-in sector classification Maps to the appropriate SPDR Sector ETF (XLK, XLF, XLV, XLY, XLP, XLI, XLE, XLU, XLB, XLC) Supports all 20 TradingView sectors Sector ETF Mappings The indicator automatically compares your stock against: Technology: XLK (Technology Services, Electronic Technology) Financials: XLF (Finance sector) Healthcare: XLV (Health Technology, Health Services) Consumer Discretionary: XLY (Retail Trade, Consumer Services, Consumer Durables) Consumer Staples: XLP (Consumer Non-Durables) Industrials: XLI (Producer Manufacturing, Industrial Services, Transportation, Commercial Services) Energy: XLE (Energy Minerals) Utilities: XLU Materials: XLB (Non-Energy Minerals, Process Industries) Communications: XLC Default: SPY (for Miscellaneous or unclassified sectors) Customizable Settings Comparison Mode: Choose between automatic sector comparison or custom symbol Length: Adjustable lookback period (default: 12) Smoothing: Apply moving average to reduce noise (default: 3) Visual Clarity Green line: Stock is outperforming its sector Red line: Stock is underperforming its sector Zero baseline: Clear reference point for performance Clean info box: Shows which ETF you're comparing against How It Works The indicator calculates relative strength using the following methodology: Rolling Price Change: Measures the price movement over the specified length for both the stock and its sector ETF ATR Normalization: Uses Average True Range to normalize for volatility differences Power Index: Calculates the sector's strength relative to its volatility Real Relative Strength: Compares the stock's performance against the sector's power index Smoothing: Applies a moving average to reduce single-candle spikes Formula: Power Index = (Sector Price Change) / (Sector ATR) RRS = (Stock Price Change - Power Index × Stock ATR) / Stock ATR Smoothed RRS = SMA(RRS, Smoothing Length)
Pine Script® göstergesi
william2003wakeford tarafından
Candle Breakout StrategyShort description (one-liner) Candle Breakout Strategy — identifies a user-specified candle (UTC time), draws its high/low range, then enters on breakouts with configurable stop-loss, take-profit (via Risk:Reward) and optional alerts. Full description (ready-to-paste) Candle Breakout Strategy Version 1.0 — Strategy script (Pine v5) Overview The Candle Breakout Strategy automatically captures a single "range candle" at a user-specified UTC time, draws its high/low as a visible box and dashed level lines, and waits for a breakout. When price closes above the range high it enters a Long; when price closes below the range low it enters a Short. Stop-loss is placed at the opposite range boundary and take-profit is calculated with a user-configurable Risk:Reward multiplier. Alerts for entries can be enabled. This strategy is intended for breakout style trading where a clearly defined intraday range is established at a fixed time. It is simple, transparent and easy to adapt to multiple symbols and timeframes. How it works (step-by-step) On every bar the script checks the current UTC time. When the first bar that matches the configured Target Hour:Target Minute (UTC) appears, the script records that candle’s high and low. This defines the breakout range. A box and dashed lines are drawn on the chart to display the range and extended to the right while the range is active. The script then waits for price to close outside the box: Close > Range High → Long entry Close < Range Low → Short entry When an entry triggers: Stop-loss = opposite range boundary (range low for longs, range high for shorts). Take-profit = entry ± (risk × Risk:Reward). Risk is computed as the distance between entry price and stop-loss. After entry the range becomes inactive (waitingForBreakout = false) until the next configured target time. Inputs / Parameters Target Hour (UTC) — the hour (0–23) in UTC when the range candle is detected. Target Minute — minute (0–59) of the target candle. Risk:Reward Ratio — multiplier for computing take profit from risk (0.5–10). Example: 2 means TP = entry + 2×risk. Enable Alerts — turn on/off entry alerts (string message sent once per bar when an entry occurs). Show Last Box Only (internal behavior) — when enabled the previous box is deleted at the next range creation so only the most recent range is visible (default behavior in the script). Visuals & On-chart Info A semi-transparent blue box shows the recorded range and extends to the right while active. Dashed horizontal lines mark the range high and low. On-chart shapes: green triangle below bar for Long signals, red triangle above bar for Short signals. An information table (top-right) displays: Target Time (UTC) Active Range (Yes / No) Range High Range Low Risk:Reward Alerts If Enable Alerts is on, the script sends an alert with the following formats when an entry occurs: Long alert: 🟢 LONG SIGNAL Entry Price: Stop Loss: Take Profit: Short alert: 🔴 SHORT SIGNAL Entry Price: Stop Loss: Take Profit: Use TradingView's alert dialog to create alerts based on the script — select the script’s alert condition or use the alert() messages. Recommended usage & tips Timeframe: This strategy works on any timeframe but the definition of "candle at target time" depends on the chart timeframe. For intraday breakout styles, use 1m — 60m charts depending on the session you want to capture. Target Time: Choose a time that is meaningful for the instrument (e.g., market open, economic release, session overlap). All times are handled in UTC. Position Sizing: The script’s example uses strategy.percent_of_equity with 100% default — change default_qty_value or strategy settings to suit your risk management. Filtering: Consider combining this breakout with trend filters (EMA, ADX, etc.) to reduce false breakouts. Backtesting: Always backtest over a sufficiently large and recent sample. Pay attention to slippage and commission settings in TradingView’s strategy tester. Known behavior & limitations The script registers the breakout on close outside the recorded range. If you prefer intrabar breakout rules (e.g., high/low breach without close), you must adjust the condition accordingly. The recorded range is taken from a single candle at the exact configured UTC time. If there are missing bars or the chart timeframe doesn't align, the intended candle may differ — choose the target time and chart timeframe consistently. Only a single active position is allowed at a time (the script checks strategy.position_size == 0 before entries). Example setups EURUSD (Forex): Target Time 07:00 UTC — captures London open range. Nifty / Index: Target Time 09:15 UTC — captures local session open range. Crypto: Target Time 00:00 UTC — captures daily reset candle for breakout. Risk disclaimer This script is educational and provided as-is. Past performance is not indicative of future results. Use proper risk management, test on historical data, and consider slippage and commissions. Do not trade real capital without sufficient testing. Change log v1.0 — Initial release: range capture, box and level drawing, long/short entry by close breakout, SL at opposite boundary, TP via Risk:Reward, alerts, info table. If you want, I can also: Provide a short README version (2–3 lines) for the TradingView “Short description” field. Add a couple of suggested alert templates for the TradingView alert dialog (if you want alerts that include variable placeholders). Convert the disclaimer into multiple language versions.
Pine Script® stratejisi
hashem-trader tarafından
PARTH Gold Profit IndicatorWhat's Inside: ✅ What is gold trading (XAU/USD explained) ✅ Why trade gold (5 major reasons) ✅ How to make money (buy/sell mechanics) ✅ Complete trading setup using your indicator ✅ Entry rules (when to buy/sell with examples) ✅ Risk management (THE MOST IMPORTANT) ✅ Best trading times (London-NY overlap) ✅ 3 trading styles (scalping, swing, position) ✅ 6 common mistakes to avoid ✅ Realistic profit expectations ✅ Pre-trade checklist ✅ Step-by-step getting started guide ✅ Everything a beginner need
Pine Script® göstergesi
parthraj414 tarafından
Gold 15m: Trend + S/R + Liquidity Sweep (RR 1:2)This strategy is designed for short-term trading on XAUUSD (Gold) using the 15-minute timeframe. It combines trend direction, support/resistance pivots, liquidity sweep detection, and momentum confirmation to identify high-probability reversal setups in line with the dominant market trend. ⚙️ Core Logic: Trend Filter (EMA 200): The strategy only takes long positions when price is above the 200 EMA and short positions when price is below it. Support/Resistance via Pivots: Dynamic swing highs and lows are identified using pivot points. These act as local supply and demand levels where liquidity is likely to accumulate. Liquidity Sweep Detection: A bullish liquidity sweep occurs when price briefly breaks below the last pivot low (grabbing liquidity) and then closes back above it. A bearish sweep occurs when price breaks above the last pivot high and then closes back below. Momentum & Candle Strength: The strategy filters signals based on candle range and body size to ensure entries occur during strong price reactions, not weak retracements. Risk Management (1:2 RR): Stop-loss is placed slightly beyond the last pivot level using ATR-based buffers, and take-profit is set at 2× the risk distance, maintaining a reward-to-risk ratio of 1:2. 💼 Trade Logic Summary: Long Entry: After a bullish liquidity sweep & reclaim, momentum confirmation, and trend alignment (above EMA 200). Short Entry: After a bearish sweep & reclaim, momentum confirmation, and trend alignment (below EMA 200). Exit: Automated via ATR-based Stop Loss and Take Profit targets. 📊 Customization Options: Adjustable EMA length, pivot settings, ATR multipliers, and RR ratio. Option to enable/disable trend filter. Toggle display of S/R zones on chart. 🧠 Best Use: Works best during London and New York sessions when Gold shows strong momentum. Can be adapted for forex pairs and indices by tuning ATR and pivot parameters.
Pine Script® stratejisi
phanongkumsen tarafından
Serenity Model VIPI — by yuu_iuHere’s a concise, practical English guide for Serenity Model VIPI (Author: yuu_iu). It covers what it is, how to set it up for daily trading, how to tune it, and how we guarantee non-repainting. Serenity Model VIPI — User Guide (Daily Close, Non‑Repainting) Credits - Author: yuu_iu - Producer: yuu_iu - Platform: TradingView (Pine Script v5) 1) What it is Serenity Model VIPI is a multi‑module, context‑aware trading model that fuses signals from: - Entry modules: VCP, Flow, Momentum, Mean Reversion, Breakout - Exit/risk modules: Contrarian, Breakout Sell, Volume Delta Sell, Peak Detector, Overbought Exit, Profit‑Take - Context/memory: Learns per Ticker/Sector/Market Regime and adjusts weights/aggression - Learning engine: Runs short “fake trades” to learn safely before scaling real trades It produces a weighted, context‑adjusted score and a final decision: BUY, SELL, TAKE_PROFIT, or WAIT. 2) How it works (high level) - Each module computes a score per bar. - A fusion layer combines module scores using accuracy and base weights, then adjusts by: - Market regime (Bull/Bear/Sideways) and optional higher‑timeframe (HTF) bias - Risk control neuron - Context memory (ticker/sector/regime) - Optional LLM mode can override marginal cases if context supports it. - Final decision is taken at bar close only (no intrabar repaint). 3) Non‑repainting guarantee (Daily) - Close‑only execution: All key actions use barstate.isconfirmed, so signals/entries/exits only finalize after the daily candle closes. - No lookahead on HTF data: request.security() reads prior‑bar values (series ) for HTF close/EMA/RSI. - Alerts at bar close: Alerts are fired once per bar close to prevent mid‑bar changes. What this means: Once the daily bar closes, the decision and alert won’t be repainted. 4) Setup (TradingView) - Paste the Pine v5 code into Pine Editor, click Add to chart. - Timeframe: 1D (Daily). - Optional: enable a date window for training/backtest - Enable Custom Date Filter: ON - Set Start Date / End Date - Create alert (non‑repainting) - Condition: AI TRADE Signal - Options: Once Per Bar Close - Webhook (optional): Paste your URL into “System Webhook URL (for AI events)” - Watch the UI - On‑chart markers: AI BUY / AI SELL / AI TAKE PROFIT - Right‑side table: Trades, Win Rate, Avg Profit, module accuracies, memory source, HTF trend, etc. - “AI Thoughts” label: brief reasoning and debug lines. 5) Daily trading workflow - The model evaluates at daily close and may: - Enter long (BUY) when buy votes + total score exceed thresholds, after context/risk checks - Exit via trailing stop, hard stop, TAKE_PROFIT, or SELL decision - Learning mode: - Triggers short “fake trades” every N bars (default 3) and measures outcome after 5 bars - Improves module accuracies and adjusts aggression once stable (min fake win% threshold) - Memory application: - When you change tickers, the model tries to apply Ticker or Sector memory for the current market regime to pre‑bias module weights/aggression. 6) Tuning (what to adjust and why) Core controls - Base Aggression Level (default 1.0): Higher = more trades and stronger decisions; start conservative on Daily (1.0–1.2). - Learning Speed Multiplier (default 3): Faster adaptation after fake/real trades; too high can overreact. - Min Fake Win Rate to Exit Learning (%) (default 10–20%): Raises the bar before trusting more real trades. - Fake Trade Every N Bars (default 3): Frequency of learning attempts. - Learning Threshold Win Rate (default 0.4): Governs when the learner should keep learning. - Hard Stop Loss (%) (default 5–8%): Global emergency stop. Multi‑Timeframe (MTF) - Enable Multi‑Timeframe Confirmation: ON (recommended for Daily) - HTF Trend Source: HOSE:VNINDEX for VN equities (or CURRENT_SYMBOL if you prefer) - HTF Timeframe: D or 240 (for a strong bias) - MTF Weight Adjustment: 0.2–0.4 (0.3 default is balanced) Module toggles and base weights - In strong uptrends: increase VCP, Momentum, Breakout (0.2–0.3 typical) - In sideways low‑vol regimes: raise MeanRev (0.2–0.3) - For exits/defense: Contrarian, Peak, Overbought Exit, Profit‑Take (0.1–0.2 each) - Keep Flow on as a volume‑quality filter (≈0.2) Memory and control - Enable Shared Memory Across Tickers: ON to share learning - Enable Sector‑Based Knowledge Transfer: ON to inherit sector tendencies - Manual Reset Learning: Use sparingly to reset module accuracies if regime changes drastically Risk management - Hard Stop Loss (%): 5–8% typical on Daily - Trailing Stop: ATR‑ and volatility‑adaptive; tightens faster in Bear/High‑Vol regimes - Max hold bars: Shorter in Bear or Sideways High‑Vol to cut risk Alerts and webhook - Use AI TRADE Signal with Once Per Bar Close - Webhook payload is JSON, including event type, symbol, time, win rates, equity, aggression, etc. 7) Recommended Daily preset (VN equities) - MTF: Enable, Source: HOSE:VNINDEX, TF: D, Weight Adj: 0.3 - Aggression: 1.1 - Learning Speed: 3 - Min Fake Win Rate to Exit Learning: 15% - Hard SL: 6% - Base Weights: - VCP 0.25, Momentum 0.25, Breakout 0.15, Flow 0.20 - MeanRev 0.20 (raise in sideways) - Contrarian/Peak/Overbought/Profit‑Take: 0.10–0.20 - Leave other defaults as is, then fine‑tune by symbol/sector. 8) Reading the UI - Table highlights: Real Trades, Win Rate, Avg Profit, Fake Actions/Win%, VCP Acc, Aggression, Equity, Score, Status (LEARNING/TRADING/REFLECTION), Last Real, Consec Loss, Best/Worst Trade, Pattern Score, Memory Source, Current Sector, AI Health, HTF Trend, Scheduler, Memory Loaded, Fake Active. - Shapes: AI BUY (below bar), AI SELL/TAKE PROFIT (above bar) - “AI Thoughts”: module contributions, context notes, debug lines 9) Troubleshooting - No trades? - Ensure timeframe is 1D and the date filter covers the chart range - Check Scheduler Cooldown (3 bars default) and that barstate.isconfirmed (only at close) - If MTF is ON and HTF is bearish, buy bias is reduced; relax MTF Weight Adjustment or module weights - Too many/too few trades? - Lower/raise Base Aggression Level - Adjust base weights on key modules (raise entry modules to be more active; raise exit/defense modules to be more selective) - Learning doesn’t end? - Increase Min Fake Win Rate to Exit Learning only after it’s consistently stable; otherwise lower it or reduce Fake Trade Every N Bars 10) Important notes - The strategy is non‑repainting at bar close by design (confirmed bars + HTF series + close‑only alerts). - Backtest fills may differ from live fills due to slippage and broker rules; this is normal for all TradingView strategies. - Always validate settings across multiple symbols and regimes before going live. If you want, I can bundle this guide into a README section in your Pine code and add a small on‑chart signature (Author/Producer: yuu_iu) in the top‑right corner.
Pine Script® stratejisi
Thach999 tarafından
1
MACD HTF Hardcoded (A/B Presets) + Regimes [CHE] MACD HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe MACD emulation with acceptance-based regime filter and on-chart diagnostics Summary This indicator emulates a higher-timeframe MACD directly on the current chart using two hardcoded preset families and a time-bucket mapping, avoiding cross-timeframe requests. It classifies four MACD regimes and applies an acceptance filter that requires several consecutive bars before a state is considered valid. A small dead-band around zero reduces noise near the axis. An on-chart table reports the active preset, the inferred time bucket, the resolved lengths, and the current regime. Pine version: v6 Overlay: false Primary outputs: MACD line, Signal line, Histogram columns, zero line, regime-change alert, info table Motivation: Why this design? Cross-timeframe indicators often rely on external timeframe requests, which can introduce repaint paths and added latency. This design provides a deterministic alternative: it maps the current chart’s timeframe to coarse higher-timeframe buckets and uses fixed EMA lengths that approximate those views. The dead-band suppresses flip-flops around zero, and the acceptance counter reduces whipsaw by requiring sustained agreement across bars before acknowledging a regime. What’s different vs. standard approaches? Baseline: Classical MACD with user-selected lengths on the same timeframe, or higher-timeframe MACD via cross-timeframe requests. Architecture differences: Hardcoded A and B length families with a bucket map derived from the chart timeframe. No `request.security`; all calculations occur on the current series. Regime classification from MACD and Histogram sign, gated by an acceptance count and a small zero dead-band. Diagnostics table for transparency. Practical effect: The MACD behaves like a slower, higher-timeframe variant without external requests. Regimes switch less often due to the dead-band and acceptance logic, which can improve stability in choppy sessions. How it works (technical) The script derives a coarse bucket from the chart timeframe using `timeframe.in_seconds` and maps it to preset-specific EMA lengths. EMAs of the source build MACD and Signal; their difference is the Histogram. Signs of MACD and Histogram define four regimes: strong bull, weak bull, strong bear, and weak bear. A small, user-defined band around zero treats values near the axis as neutral. An acceptance counter checks whether the same regime persisted for a given number of consecutive bars before it is emitted as the filtered regime. A single alert condition fires when the filtered regime changes. The histogram columns change shade based on position relative to zero and whether they are rising or falling. A persistent table object shows preset, bucket tag, resolved lengths, and the filtered regime. No cross-timeframe requests are used, so repaint risk is limited to normal live-bar movement; values stabilize on close. Parameter Guide Source — Input series for MACD — Default: Close — Using a smoother source increases stability but adds lag. Preset — A or B length family — Default: “3,10,16” — Switch to “12,26,9” for the classic family mapped to buckets. Table Position — Anchor for the info table — Default: Top right — Choose a corner that avoids covering price action. Table Size — Table text size — Default: Normal — Use small on dense charts, large for presentations. Dark Mode — Table theme — Default: Enabled — Match your chart background for readability. Show Table — Toggle diagnostics table — Default: Enabled — Disable for a cleaner pane. Zero dead-band (epsilon) — Noise gate around zero — Default: Zero — Increase slightly when you see frequent flips near zero. Acceptance bars (n) — Bars required to confirm a regime — Default: Three — Raise to reduce whipsaw; lower to react faster. Reading & Interpretation Histogram columns: Above zero indicates bullish pressure; below zero indicates bearish pressure. Darker shade implies the histogram increased compared with the prior bar; lighter shade implies it decreased. MACD vs. Signal lines: The spread corresponds to histogram height. Regimes: Strong bull: MACD above zero and Histogram above zero. Weak bull: MACD above zero and Histogram below zero. Strong bear: MACD below zero and Histogram below zero. Weak bear: MACD below zero and Histogram above zero. Table: Inspect active preset, bucket tag, resolved lengths, and the filtered regime number with its description. Practical Workflows & Combinations Trend following: Use strong bull to favor long exposure and strong bear to favor short exposure. Use weak states as pullback or transition context. Combine with structure tools such as swing highs and lows or a baseline moving average for confirmation. Exits and risk: In strong trends, consider exiting partial size on a regime downgrade to a weak state. In choppy sessions, increase the acceptance bars to reduce churn. Multi-asset / Multi-timeframe: Works on time-based charts across liquid futures, indices, currencies, and large-cap equities. Bucket mapping helps retain a consistent feel when moving from lower to higher timeframes. Behavior, Constraints & Performance Repaint/confirmation: No cross-timeframe requests; values can evolve intrabar and settle on close. Alerts follow your TradingView alert timing settings. Resources: `max_bars_back` is set to five thousand. Very large resolved lengths require sufficient history to seed EMAs; expect a warm-up period on first load or after switching symbols. Known limits: Dead-band and acceptance can delay recognition at sharp turns. Extremely thin markets or large gaps may still cause brief regime reversals. Sensible Defaults & Quick Tuning Start with preset “3,10,16”, dead-band near zero, and acceptance of three bars. Too many flips near zero: increase the dead-band slightly or raise the acceptance bars. Too sluggish in clean trends: reduce the acceptance bars by one. Too sensitive on fast lower timeframes: switch to the “12,26,9” preset family or raise the acceptance bars. Want less clutter: hide the table and keep the alert. What this indicator is—and isn’t This is a visualization and regime layer for MACD using higher-timeframe emulation and stability gates. It is not a complete trading system and does not generate position sizing or risk management. Use it with market structure, execution rules, and protective stops. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® göstergesi
chervolino tarafından
8x Heikin Ashi Streak (1m) by Bitcoin Benito🧭 Indicator Description: “8x Heikin Ashi Streak (1m) by Bitcoin Benito” **Purpose:** The *8x Heikin Ashi Streak* indicator helps traders quickly identify strong short-term momentum on the **1-minute timeframe**. It automatically tracks Heikin Ashi candles and alerts you whenever **8 consecutive bullish or bearish candles** appear — a visual cue that a strong intraday trend or exhaustion point might be forming. --- 🔍 **How It Works** * The indicator continuously counts Heikin Ashi candles in real-time. * When it detects **8 bullish (green)** or **8 bearish (red)** candles in a row: * A green ▲ marker appears **below** the 8th candle for bullish streaks. * A red ▼ marker appears **above** the 8th candle for bearish streaks. * You can set alerts to automatically notify you when these streaks occur. This makes it ideal for **momentum traders**, **scalpers**, and **trend-reversal spotters** who want to: * Catch strong intraday moves early. * Identify potential overextension zones before pullbacks. * Automate alert signals for short-term trading setups. IMPORTANT: Only trade when most of the 8 candles are below/above the EMA 8 Line respectively. Add an EMA 8 indicator to see if this is the case --- ⚙️ **How to Use** 1. **Apply to a 1-minute chart** (this script is optimized for 1m timeframes). 2. When the indicator plots a green or red triangle: * **Green triangle (8 bullish candles):** Trend momentum is strong upward. * **Red triangle (8 bearish candles):** Downward momentum is dominant. 3. Optionally, combine with volume or EMA filters to confirm breakouts or exhaustion. --- 🔔 **Setting Up Alerts** * Click the **Alert (🔔)** icon on TradingView. * Under *Condition*, select: * “8x Heikin Ashi Streak (1m)” → “8 Bullish Heikin Ashi (1m)” * OR “8x Heikin Ashi Streak (1m)” → “8 Bearish Heikin Ashi (1m)” * Choose **Once per bar close** to trigger the alert when the 8th candle completes. * Add your custom message, e.g. > “🚀 8 bullish Heikin Ashi candles in a row on 1-minute chart!” > “🔻 8 bearish Heikin Ashi candles in a row on 1-minute chart!” --- 📊 **Best Practices** * Works best on **liquid assets** (major forex pairs, indices, BTC/USD, etc.). * Pair with **RSI**, **EMA**, or **Volume** indicators for stronger confirmation. * Not a standalone buy/sell signal — treat it as a **momentum or exhaustion alert**. * Can be adapted to other timeframes by changing chart resolution. --- ⚠️ **Disclaimer** This indicator is for **educational and analytical purposes only**. Trading carries risk — always test on demo accounts and use proper risk management. No indicator guarantees profit; this is a tool for insight and timing, not financial advice.
Pine Script® göstergesi
rememberit1 tarafından
Ripster Clouds (EMA + MTF)v6🧠 Purpose This indicator combines Ripster EMA Clouds and Multi-Timeframe (MTF) EMA Clouds into one script. It allows you to visualize short vs long exponential (or simple) moving averages as colored “clouds” to identify trend direction and momentum — across both your current timeframe and a higher timeframe (e.g., daily). ⚙️ Main Features 1. EMA Clouds (Local Timeframe) Up to 5 separate EMA/SMA cloud sets (8/9, 5/12, 34/50, 72/89, 180/200 by default). Each can be individually enabled/disabled in the settings. MA type toggle → Choose between EMA and SMA. Optional line display toggle for showing the short and long MA lines. Color-coded trend clouds: Greenish tones = bullish (short > long) Reddish tones = bearish (short < long) Configurable leading offset and global offset for alignment. 2. MTF Clouds (Higher Timeframe) Two sets of higher timeframe EMA clouds (default: 50/55 and 20/21). Uses request.security() to pull EMA data from a selected higher timeframe (default = Daily). Optional line visibility toggle (Display Lines). Blue and teal semi-transparent fills to distinguish from local clouds. Each MTF cloud can be toggled independently. 3. Unified Controls Master toggles: ✅ Show EMA Clouds ✅ Show MTF Clouds Transparent cloud fills with dynamically changing colors based on EMA crossovers and slope. No local-scope plot() or fill() calls — fully compliant with Pine v6 rules. 🎨 Color Logic Each EMA cloud uses a unique color pair (5 total). Cloud color changes dynamically based on whether the short EMA is above or below the long EMA. Line color changes with slope: Olive = EMA rising Maroon = EMA falling 📊 Technical Structure Written in Pine Script v6. All plot() and fill() calls are at global scope to prevent compilation errors. Uses helper functions only for math/color logic. Performance-optimized for TradingView’s rendering limits. 🧩 Quick Setup in TradingView Paste the script into the Pine Editor. Add to chart. In settings: Toggle on/off any EMA or MTF clouds. Adjust timeframe (Resolution), line visibility, or offsets. Choose EMA or SMA as the base calculation. ✅ Result You now have one unified, customizable Ripster EMA + MTF Cloud indicator, stable in Pine v6, with complete flexibility to toggle, style, and analyze multiple timeframe trends on a single chart.
Pine Script® göstergesi
chandrashekar_thippani tarafından