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RSI مع 5 متوسطات و5 مستوياتRSI with 5 Moving Averages and 5 Levels This indicator combines the Relative Strength Index (RSI) with five customizable moving averages and five horizontal levels to help identify momentum, overbought/oversold zones, and trend strength. • RSI: Measures the speed and change of price movements. • Levels (10, 20, 50, 80, 90): • 10 & 20 → Oversold zones (potential buy areas) • 80 & 90 → Overbought zones (potential sell areas) • 50 → Neutral midpoint (trend balance line) • Moving Averages (5, 8, 13, 21, 200): Smooth the RSI line to reveal short- and long-term momentum trends. You can choose the type (SMA, EMA, WMA), color, and line thickness. Optional alert signals can be triggered when the RSI crosses specific levels (e.g., above 80 or below 20).
Wskaźnik Pine Script®
od kalharbi0376
1
Buy on Blue, Sell on Red (EMA + optional RSI) TyusEThis indicator is a trend-following system that helps traders identify potential buy and sell opportunities using a combination of EMA crossovers and an optional RSI filter for confirmation. It plots: 🔵 Blue dots (BUY signals) when the fast EMA crosses above the slow EMA — signaling bullish momentum. 🔴 Red dots (SELL signals) when the fast EMA crosses below the slow EMA — signaling bearish momentum. You can optionally filter these signals using the RSI (Relative Strength Index) to avoid false breakouts — for example, only taking BUY signals when RSI is above 55 (showing strength) and SELL signals when RSI is below 45 (showing weakness). ⚙️ Features Adjustable Fast EMA and Slow EMA lengths Optional RSI confirmation filter Customizable RSI thresholds for entries “Confirm on bar close” setting to reduce repainting Built-in alert conditions for real-time notifications 💡 How to Use Use blue dots as potential long entries and red dots as potential short entries. Confirm direction with overall trend, structure, or higher timeframe alignment. Combine with support/resistance, volume, or price action for best results. ⚠️ Note This is a technical tool, not financial advice. Always backtest and use proper risk management before trading live markets. T.E
Wskaźnik Pine Script®
od Tyusearly1995
DD RatioThe DD Ratio (“Directional Distribution Ratio”) is a breadth indicator that shows, in real time, how many of the selected stocks (e.g., S&P 500 components) are bullish vs. bearish relative to today’s open. The DD Ratio tells you what’s really happening under the hood of the index: Futures may mislead: An index future (like ES or NQ) can rise on a few heavy-weighted stocks even while most components fall. The DD Ratio exposes that divergence. Breadth confirmation: When the futures are up and DD Ratio ≥ 0.5 → healthy rally. When futures are up but DD Ratio < 0.5 → weak, narrow advance. Intraday sentiment gauge: It updates live with each bar, reflecting “who’s winning” since the open.
Wskaźnik Pine Script®
od Justsayom
Buy/Sell Volume Tracker [wjdtks255]Indicator Description Function: Separates buy and sell volume based on candle direction (close ≥ open) and displays the buy−sell difference (hist_val) as a histogram. Visuals: Buy/sell bars are distinguished by user-selectable colors and opacity; two moving averages (MA1 and MA2) are shown to smooth the flow. Meaning: A positive histogram indicates buy dominance; a negative histogram indicates sell dominance. Limitation: The current separation is estimated from candle direction and may differ from execution-side (tick/trade-side) based data. Trading Rules (Summary) Conservative trend-following long Entry: Enter long when hist_val turns above 0 and MA1 crosses MA2 from below. Stop-loss: Exit if hist_val falls back below 0 or MA1 drops below MA2. Take-profit: Use a risk:reward of 1:1.5 or set targets based on ATR. Short-term rebound long Entry: Enter a short-term long when a large negative histogram region begins to narrow and shows a recovery sign. Stop-loss: Exit if hist_val drops below the previous low or bearish candles continue. Take-profit: Prefer quick partial profit-taking. Short (sell) strategy Entry: Enter short when hist_val falls below 0 and MA1 crosses MA2 from above. Stop-loss / Take-profit: Apply the inverse rules of the long strategy. Filters and risk management Volume filter: Only accept signals when volume exceeds a fraction of average volume to reduce noise. Entry strength: Require |hist_val| to exceed a historical average threshold (e.g., avg(|hist_val|, N) × factor) to strengthen signals. Position sizing: Size positions so that account risk per trade is within limits (e.g., 1–2% of account equity). Timeframe: Use short timeframes for scalping and 1h+ for swing trading.
Wskaźnik Pine Script®
od wjdtks255
1
Aibuyzone Vector Strategy - Floating DashboardVector Strategy – Floating Dashboard The Vector Strategy is a visual trading-analysis tool designed to highlight strong directional candles that may represent impulsive moves in the market. It combines candle-structure analysis, volatility expansion, volume conditions, and trend filters into a single clear visual display. Core Logic Identifies candles where the body makes up a significant portion of the full bar range, suggesting strong directional intent. Uses an ATR (Average True Range) expansion filter to confirm that the current candle’s range is larger than normal volatility. Optionally applies a wick-imbalance requirement to favor bars showing a clear directional bias. Can include a volume spike filter, marking candles where volume exceeds a moving average multiple. Trend and Momentum Filters Local trend: Defined by a fast and slow EMA pair to show short-term bias. Higher-timeframe trend: Optionally aligns with an EMA from a higher timeframe to confirm broader momentum. Momentum: RSI filter avoids generating signals in heavily overbought or oversold conditions. Fair Value Gap (FVG) Option When enabled, the script checks for a simple three-bar fair-value-gap structure in the direction of the potential signal, acting as an additional confirmation filter. Signals and Visuals Plots fast and slow EMAs to visualize the underlying trend. Displays up/down shapes when qualifying vector-candle conditions occur. Optional labels show “Vector Long” or “Vector Short” at the candle where conditions align. Includes alert conditions for both long and short setups. Floating Dashboard A compact floating panel summarizes the most recent signal and market context: Current signal state (Long / Short / Neutral) Trend bias (Bullish / Bearish / Flat) RSI reading Body-to-range percentage Volume-spike confirmation Practical Use This tool can assist traders in identifying strong impulsive candles aligned with a trend filter. It is meant to complement a complete trading strategy, not to be used in isolation. Traders may adjust thresholds such as ATR multiple, body-percentage, or RSI range based on the instrument’s volatility and personal risk tolerance. Important Notice This script is provided for educational and analytical purposes only. It does not provide financial advice, recommendations, or guaranteed results. Market conditions vary, and past performance does not ensure future outcomes. Always test and validate any configuration in a simulated environment before live trading.
Wskaźnik Pine Script®
od aibuyzone
3ATMANE RANGEThis indicator calculates a custom range based on the 04:00 UTC H1 candle. It uses EMA(6) of HLC4 from the 1-hour timeframe and measures the pip distance from the high and low of that candle to the EMA. Two horizontal lines are drawn: 🔴 Down Line: projected below the low by the same pip distance from high to EMA 🟢 Up Line: projected above the high by the same pip distance from EMA to low The lines are time-based and remain visible across all timeframes. A top-right table displays the pip values and the number of active lines. Ideal for range breakout setups, volatility tracking, or session-based scalping logic. Powered by 3ATMANE Logic 🔥
Wskaźnik Pine Script®
od riprib
RSI ⇄ SMA Cross Alerts (80/20, On Close)RSI ⇄ SMA Cross Alerts (80/20, On Close) Add //@version=5 (required in Pine v5). Your logic is fine for “after being >80/<20 then RSI crosses its SMA,” and barstate.isconfirmed enforces on close. plot(close) in a non-overlay RSI pane will squash the scale—drop it (or set overlay=true and move RSI to a separate scale, but simplest is just remove it). Optional: expose source, add a tiny cooldown, and let alerts include close/RSI values.
Wskaźnik Pine Script®
od carmen_sigley
Crash Stats 15m (ETH) — X% | prev RTH min(VWAP, Close)# Crash Stats 15m (ETH) — X% Drawdown Event Analyzer A 15-minute indicator that scans up to the last 5 years to find **crash events** where the close falls by at least **X%** relative to the **lower of** the prior day’s **RTH VWAP** and **RTH close**. It then measures recovery and follow-through behavior, tags the market regime around each event, and summarizes everything in a table. --- ## What the script detects **Crash event (trigger):** * On a 15-minute bar, `close <= refPrice * (1 - X%)`. * `refPrice = min(previous RTH VWAP, previous RTH close)`. * First touch only: subsequent bars below the threshold on the same trading day are ignored. * Extended hours (ETH) are supported; if ETH is off, the script safely infers the previous RTH reference. **Per-event measurements** 1. **Time to “turn up”** – first close **above the event-anchored AVWAP** (AVWAP cumulated from the trigger bar onward). 2. **Time to recover the reference price** – first close ≥ `refPrice`. 3. **Time to recover Y% above the crash-day average price** – first close ≥ `crashDayVWAP * (1+Y%)`. 4. **Post-crash lowest price & timing** – the lowest low and how long after the event it occurs, within a user-defined horizon (default 10 trading days, approximated in calendar days). 5. **Intraday RTH low timing** – on the crash day’s RTH session, when did the day’s intraday low occur, and **was it on the first 15-minute bar**? 6. **First 15-minute low of the RTH day** – recorded for context. All durations are shown as **D days H hours M minutes**. --- ## Regime tagging (A / B) For each event the script classifies the surrounding trend using daily closes: * Let `r6m = (prevClose – close_6mAgo) / close_6mAgo`, `r12m = (prevClose – close_12mAgo) / close_12mAgo`. * **A**: both `r6m > 0` and `r12m > 0` (uptrend across 6m & 12m). * **B**: one positive, one negative, and `r6m + r12m ≥ 0` (mixed but net non-negative). * Otherwise: **—**. This helps separate selloffs in strong uptrends (A) from mixed regimes (B) and others. --- ## Inputs * **X — Crash threshold (%)**: default 5. * **Y — Recovery above crash-day average (%)**: default 5. * **Lookback years**: default 5 (bounded by data availability). * **Horizon for post-crash lowest (trading days)**: default 10 (approximated as calendar days). * **RTH session**: default `09:30–16:00` (exchange timezone). * **Show markers**: plot labels on triggers. * **Rows to display**: last N events in the table. --- ## Table columns * Index, **Trigger time**, **Drop %**, **Ref price**, **Regime (A/B/—)** * **Time to turn up** (above anchored AVWAP) * **Time to ref price**, **Time to day VWAP + Y%** * **Window lowest price**, **Time to window low** * **RTH first-15m low**, **RTH lowest time**, **Was RTH low on first 15m?** * **Crash-day VWAP** --- ## How to use 1. **Set chart to 15-minute** and **enable extended hours** for equities (recommended). 2. Keep defaults (**X=5%, Y=5%**) to start; tighten to 3–4% for more frequent events on less volatile symbols. 3. For non-US symbols or futures, adjust the **RTH session** if needed. 4. Read the table (top-right) for per-event diagnostics and aggregate averages (bottom row). --- ## Notes & implementation details * Works whether ETH is on or off. If ETH is off, the script back-fills “previous RTH” references at the next RTH open and uses the prior daily close as a fallback. * The “turn up” definition uses **event-anchored AVWAP**, a robust, price–volume anchor widely used for post-shock mean reversion analysis. * Events are **de-duplicated**: only one event per trading day (per target RTH cycle). * Lookback is limited by your plan and the data vendor. The script requests deep history (`max_bars_back=50000`), but availability varies by symbol. * Durations use minute precision and are rendered as **days–hours–minutes** for readability. --- ## Quick troubleshooting * **No events found**: lower **X%**, enable **ETH**, or ensure sufficient history is loaded (scroll back, or briefly switch to a higher timeframe to force deeper backfill, then return to 15m). * **RTH boundaries off**: check the **RTH session** input matches the venue. * **Few rows in table**: increase **Rows to display**. --- ## Typical use cases * Back-test how fast different symbols tend to stabilize after a sharp gap-down or intraday shock. * Compare recovery behavior across regimes **A / B** for sizing and risk timing. * Build playbooks: e.g., if the RTH low occurs on the first 15m bar X% of the time, plan entries accordingly. --- ## Changelog * **v1.0**: Initial public release with crash detection, anchored-AVWAP reversal, reference & VWAP+Y recovery timers, regime tagging, window-low timing, RTH low timing, and first-15m low capture.
Wskaźnik Pine Script®
od lvyaofeng19920413
ice tea//@version=6 indicator("ICT + ICC Combined Strategy", overlay=true) // === INPUTS === bosSensitivity = input.int(3, "BOS Sensitivity", minval=1) showDashboard = input.bool(true, "Show Dashboard") dashCorner = input.string("top_right", "Dashboard Corner", options= ) // === COLORS === bosColorBull = color.new(color.green, 0) bosColorBear = color.new(color.red, 0) // === STRUCTURE & BOS LOGIC (example) === var bool bullishBOS = false var bool bearishBOS = false // Extract function calls for consistency highestClose = ta.highest(close, bosSensitivity) lowestClose = ta.lowest(close, bosSensitivity) // Dummy BOS detection (replace with your actual logic) if close > highestClose bullishBOS := true bearishBOS := false else if close < lowestClose bearishBOS := true bullishBOS := false else bullishBOS := false bearishBOS := false // === BOS PLOTTING === if bullishBOS line.new(bar_index - bosSensitivity, low , bar_index, low, color=bosColorBull, style=line.style_dotted) label.new(bar_index, low, "BOS ↑", style=label.style_label_up, color=bosColorBull, textcolor=color.white) if bearishBOS line.new(bar_index - bosSensitivity, high , bar_index, high, color=bosColorBear, style=line.style_dotted) label.new(bar_index, high, "BOS ↓", style=label.style_label_down, color=bosColorBear, textcolor=color.white) // === ICC / SHORT-TERM DEALING RANGE LOGIC (simplified example) === var float stHigh = na var float stLow = na if bullishBOS stLow := low stHigh := high else if bearishBOS stLow := low stHigh := high plot(stHigh, title="ST High", color=color.orange, linewidth=1) plot(stLow, title="ST Low", color=color.orange, linewidth=1) // === DASHBOARD PANEL === if showDashboard // choose table position dashPosition = switch dashCorner "top_left" => position.top_left "bottom_left" => position.bottom_left "bottom_right" => position.bottom_right => position.top_right var table dash = table.new(dashPosition, 2, 2, bgcolor=color.new(color.black, 85), frame_color=color.new(color.white, 70)) // Higher time frame bias placeholder (replace with actual HTF logic) htfBias = bullishBOS ? "bullish" : bearishBOS ? "bearish" : "neutral" htfTxtColor = htfBias == "bullish" ? color.new(color.green, 0) : htfBias == "bearish" ? color.new(color.red, 0) : color.new(color.yellow, 0) sigTxtColor = bullishBOS ? color.new(color.green, 0) : bearishBOS ? color.new(color.red, 0) : color.new(color.yellow, 0) table.cell(dash, 0, 0, "1H Bias:", text_color=color.white, text_size=size.small) table.cell(dash, 1, 0, str.upper(htfBias), text_color=htfTxtColor, text_size=size.small) table.cell(dash, 0, 1, "15M Signal:", text_color=color.white, text_size=size.small) table.cell(dash, 1, 1, sigTxtColor == color.new(color.green, 0) ? "Buy Setup" : sigTxtColor == color.new(color.red, 0) ? "Sell Setup" : "Waiting", text_color=sigTxtColor, text_size=size.small)
Wskaźnik Pine Script®
od Roodney
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics. This reveals deep conviction among long-term ETH holders Core Concept: Direct 6-Month Dormancy The indicator uses two precise on-chain signals: Total Unique ETH Addresses From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES Counts every address ever used on Ethereum Addresses Inactive ≥ 180 Days From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS Counts every address that has not sent or received ETH in 6+ months Sleepy ETH = Dormant ≥ 180 Days Sleepy Ratio % = (Sleepy / Total) × 100 This is not an estimate — it’s direct, real dormancy. Why 6-Month Dormancy Matters Short-term activity (7-day) = noise from DeFi, NFTs, trading 180-day inactivity = true HODLing — coins untouched through entire market cycles Historically: Rising dormancy → supply drying up → bullish pressure Falling dormancy → long-term holders selling → bearish warning How It Works (Step-by-Step) Fetches daily data from Glassnode (Pro+) or CryptoQuant (free) Selects real data if available; otherwise uses robust fallback Calculates raw sleepy wallets = addresses inactive ≥ 180 days Smooths the signal with a 21-day simple moving average (SMA) to filter noise Computes Sleepy Ratio % for instant conviction reading Displays live info table with exact values on every bar How to Use It Signal Interpretation Suggested Action Sleepy Ratio > 75% and rising Extreme long-term HODLing Strong accumulation — buy/hold Smooth Sleepy trending up Dormancy growing over 21 days Bullish supply shock forming Sleepy Ratio < 68% and falling Long-term coins re-entering circulation Caution — possible distribution Smooth Sleepy dropping fast HODLers breaking after 6+ months Bearish warning — consider exits Use on Daily (D) or Weekly (W) charts for clean, reliable signals. Pro+ vs Free Mode Mode Data Source Accuracy Pro+ (Glassnode ON) Real 180-day dormancy metric 100% precise Free (Glassnode OFF) CryptoQuant + price-scaled estimate ~80% historical correlation Toggle in settings: Use Glassnode Data What Makes This Indicator Original First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS No fake math — uses true inactivity, not active address subtraction Dual-source logic ensures usability on any TradingView plan Dual output: raw sleepy count + 21-day SMA for precision and trend Live info table shows real-time values and data source
Wskaźnik Pine Script®
od bristleconewealth
MIG and MC 发布简介（中文） MIG and MC 指标帮助日内交易者快速识别微型缺口（Micro Gap）与微型通道（Micro Channel）。脚本支持过滤开盘跳空、合并连续缺口，并自动绘制 FPL（Fair Price Line）延伸线，既可追踪缺口是否被填补，也能直观标注潜在的趋势结构。为了确保跨周期一致性，最新版本对开盘前后和跨日场景做了专门处理 主要特性 - 自动检测并显示看涨/看跌微型缺口，支持按需合并连续缺口。 - 自定义是否忽略开盘缺口、缺口显示范围与 FPL 样式。 - FPL 触及后即停止延伸，辅助研判缺口是否真正回补。 - 内置强收盘与缺口过滤的微型通道识别，可选多种严格程度。 - 适用于 1/5/9 分钟等日内周期，也适用于更长周期。 Recommended English Description The MIG and MC indicator highlights Micro Gaps and Micro Channels so you can track true intraday imbalances without noise. It merges consecutive gaps, projects Fair Price Lines (FPL) that stop once touched, and offers a full intraday-ready opening-gap filter so your early bars stay clean. The latest update refines cross-session handling, giving reliable gap plots on 1-, 5-, and 9-minute charts as well as higher time frames. Key Features - Detects bullish and bearish micro gaps with optional gap merging. - Toggle opening-gap filters and configure look back, visibility, and FPL style. - FPL lines stop as soon as price revisits the gap, making gap closure obvious. - Micro Channel mode uses strong-close and gap filters to mark high-quality trend legs. - Consistent behavior across intraday and higher time frames.
Wskaźnik Pine Script®
od WendellZhang
Previous VWAP Closes MTF## **Indicator: "Previous VWAP Closes MTF"** ### **Overview** This is a specialized multi-timeframe indicator that plots the **closing VWAP values from previous trading sessions** across three different timeframes. Instead of showing the current, evolving VWAP, it focuses exclusively on the final VWAP levels where previous sessions concluded, treating them as significant reference points for current price action. ### **Core Functionality** **What It Plots:** - **Three horizontal lines** representing the final VWAP values from completed sessions - Weekly previous VWAP close (green/red circles) - Daily previous VWAP close (lime/orange circles) - 4-hour previous VWAP close (aqua/purple circles) **Key Mechanics:** - **Session Detection**: Automatically identifies when each timeframe session ends - **VWAP Calculation**: Computes the Volume-Weighted Average Price for each completed session - **Level Preservation**: "Freezes" and displays the final VWAP value as a horizontal reference line - **Dynamic Coloring**: Lines change color based on whether current price is above (bullish colors) or below (bearish colors) each level ### **Trading Applications** **Primary Use Cases:** 1. **Support/Resistance Identification**: Previous VWAP closes often act as magnetic price zones 2. **Breakout Confirmation**: Price sustaining above/below these levels can confirm trend strength 3. **Mean Reversion**: Price often reverts to these historical balance points 4. **Multi-Timeframe Analysis**: Understanding which timeframe's level has the strongest influence **Practical Scenarios:** - "Price is approaching the weekly previous VWAP close - watch for reaction" - "Daily and 4H previous VWAPs are clustered - strong confluence zone" - "Price broke above all three levels - strong bullish momentum" ### **Alert System** - **Cross Alerts**: Notifies when price crosses any of the three historical VWAP levels - **Timeframe Specific**: Alerts specify which timeframe's level was crossed - **Flexible Enable/Disable**: User can toggle alerts on/off via input settings ### **Visual Features** - **Clear Hierarchy**: Different colors for easy timeframe distinction - **Circle Markers**: Visual emphasis on the horizontal levels - **Optional Bar Coloring**: Can color bars based on position relative to primary level - **Clean Interface**: No clutter from current VWAP calculations ### **Strategic Value** This indicator essentially maps **"yesterday's battlegrounds"** - showing where volume and price found equilibrium in previous sessions. These levels often become: - **Psychological reference points** for traders - **Institutional interest zones** where large players established positions - **Natural profit-taking or entry levels** for continuation moves The multi-timeframe approach allows you to see which historical levels are most relevant to current market structure, providing a sophisticated understanding of potential price magnets and reaction zones. --- This description captures both the technical functionality and the practical trading value of your customized indicator!
Wskaźnik Pine Script®
od Echo3Charlie
detects bottom rebound signal🧩 General Idea: This indicator detects bottom rebound signals — the start of an upward move after a downtrend — using a combination of RSI + price + volume. ⚙️ How the Indicator Works: Calculates the RSI (Relative Strength Index) using a 14-period length. → Purpose: Measure momentum after a decline. Monitors upward RSI crossovers at levels 45, 50, 55, and 60. → Purpose: Confirm that momentum is shifting from bearish to bullish. Checks for a price increase of more than 2% compared to the previous close. → Purpose: Ensure that the move is strong and not just a small fluctuation. Confirms that today’s volume is higher than yesterday’s. → Purpose: Validate that buying pressure is supported by real market activity. When all conditions are met together ⇒ a rebound signal is generated ✅ (It plots a value of 1 as a histogram — can be used as a filter). Triggers an alert when a rebound signal occurs — so you can get notified automatically in TradingView. 🎯 Indicator Purpose: To identify stocks that are truly rebounding from their bottom, confirming it through momentum, price strength, and volume — often highlighting early entry opportunities before a larger uptrend. 🧩 الفكرة العامة: يرصد لحظات ارتداد السهم من القاع — أي بداية صعود بعد فترة نزول — اعتمادًا على RSI + السعر + الحجم. ⚙️ خطوات عمل المؤشر: يحسب مؤشر القوة النسبية (RSI) بطول 14 شمعة. الهدف: قياس الزخم بعد نزول طويل. يراقب تقاطعات RSI لأعلى عند المستويات (45، 50، 55، 60). الهدف: تأكيد أن الزخم بدأ يتحول من سالب إلى موجب. يتحقق من ارتفاع السعر أكثر من 2٪ مقارنةً بالإغلاق السابق. الهدف: التأكد أن الصعود حقيقي وليس مجرد تذبذب بسيط. يتأكد أن حجم التداول اليوم أكبر من اليوم السابق. الهدف: وجود دعم حقيقي من المشترين (تأكيد على دخول سيولة). عند تحقق كل الشروط السابقة معًا ⇒ يعطي إشارة ارتداد من القاع ✅ (يرسم عمودًا بقيمة 1 في الأسفل ويمكن استخدامه كفلتر). يصدر تنبيه (Alert) عند تحقق الإشارة لتتابعها تلقائيًا في TradingView. 🎯 الهدف من المؤشر: تحديد الأسهم التي بدأت ترتد فعليًا من القاع مع تأكيد الزخم والحجم والسعر — وهي غالبًا فرص دخول مبكرة قبل استمرار الصعود. تنبيه مهم: يعمل كفلتر نبيه على قائمة محددة ولا يظهر على الشارت
Wskaźnik Pine Script®
od omerqazx
RSI Overbought/Oversold + Divergence Indicator (new)//@version=5 indicator('CryptoSignalScanner - RSI Overbought/Oversold + Divergence Indicator (new)', //--------------------------------------------------------------------------------------------------------------------------------- //--- Define Colors --------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------- vWhite = #FFFFFF vViolet = #C77DF3 vIndigo = #8A2BE2 vBlue = #009CDF vGreen = #5EBD3E vYellow = #FFB900 vRed = #E23838 longColor = color.green shortColor = color.red textColor = color.white bullishColor = color.rgb(38,166,154,0) //Used in the display table bearishColor = color.rgb(239,83,79,0) //Used in the display table nomatchColor = color.silver //Used in the display table //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Functions-------------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- TF2txt(TF) => switch TF "S" => "RSI 1s:" "5S" => "RSI 5s:" "10S" => "RSI 10s:" "15S" => "RSI 15s:" "30S" => "RSI 30s" "1" => "RSI 1m:" "3" => "RSI 3m:" "5" => "RSI 5m:" "15" => "RSI 15m:" "30" => "RSI 30m" "45" => "RSI 45m" "60" => "RSI 1h:" "120" => "RSI 2h:" "180" => "RSI 3h:" "240" => "RSI 4h:" "480" => "RSI 8h:" "D" => "RSI 1D:" "1D" => "RSI 1D:" "2D" => "RSI 2D:" "3D" => "RSI 2D:" "3D" => "RSI 3W:" "W" => "RSI 1W:" "1W" => "RSI 1W:" "M" => "RSI 1M:" "1M" => "RSI 1M:" "3M" => "RSI 3M:" "6M" => "RSI 6M:" "12M" => "RSI 12M:" //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Show/Hide Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowInput = input(true, title='Show RSI', group='Show/Hide Settings') maShowInput = input(false, title='Show MA', group='Show/Hide Settings') showRSIMAInput = input(true, title='Show RSIMA Cloud', group='Show/Hide Settings') rsiBandShowInput = input(true, title='Show Oversold/Overbought Lines', group='Show/Hide Settings') rsiBandExtShowInput = input(true, title='Show Oversold/Overbought Extended Lines', group='Show/Hide Settings') rsiHighlightShowInput = input(true, title='Show Oversold/Overbought Highlight Lines', group='Show/Hide Settings') DivergenceShowInput = input(true, title='Show RSI Divergence Labels', group='Show/Hide Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Table Settings -------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowTable = input(true, title='Show RSI Table Information box', group="RSI Table Settings") rsiTablePosition = input.string(title='Location', defval='middle_right', options= , group="RSI Table Settings", inline='1') rsiTextSize = input.string(title=' Size', defval='small', options= , group="RSI Table Settings", inline='1') rsiShowTF1 = input(true, title='Show TimeFrame1', group="RSI Table Settings", inline='tf1') rsiTF1 = input.timeframe("15", title=" Time", group="RSI Table Settings", inline='tf1') rsiShowTF2 = input(true, title='Show TimeFrame2', group="RSI Table Settings", inline='tf2') rsiTF2 = input.timeframe("60", title=" Time", group="RSI Table Settings", inline='tf2') rsiShowTF3 = input(true, title='Show TimeFrame3', group="RSI Table Settings", inline='tf3') rsiTF3 = input.timeframe("240", title=" Time", group="RSI Table Settings", inline='tf3') rsiShowTF4 = input(true, title='Show TimeFrame4', group="RSI Table Settings", inline='tf4') rsiTF4 = input.timeframe("D", title=" Time", group="RSI Table Settings", inline='tf4') rsiShowHist = input(true, title='Show RSI Historical Columns', group="RSI Table Settings", tooltip='Show the information of the 2 previous closed candles') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Input Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiSourceInput = input.source(close, 'Source', group='RSI Settings') rsiLengthInput = input.int(14, minval=1, title='RSI Length', group='RSI Settings', tooltip='Here we set the RSI lenght') rsiColorInput = input.color(#26a69a, title="RSI Color", group='RSI Settings') rsimaColorInput = input.color(#ef534f, title="RSIMA Color", group='RSI Settings') rsiBandColorInput = input.color(#787B86, title="RSI Band Color", group='RSI Settings') rsiUpperBandExtInput = input.int(title='RSI Overbought Extended Line', defval=80, minval=50, maxval=100, group='RSI Settings') rsiUpperBandInput = input.int(title='RSI Overbought Line', defval=70, minval=50, maxval=100, group='RSI Settings') rsiLowerBandInput = input.int(title='RSI Oversold Line', defval=30, minval=0, maxval=50, group='RSI Settings') rsiLowerBandExtInput = input.int(title='RSI Oversold Extended Line', defval=20, minval=0, maxval=50, group='RSI Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Input Settings ----------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- maTypeInput = input.string("EMA", title="MA Type", options= , group="MA Settings") maLengthInput = input.int(14, title="MA Length", group="MA Settings") maColorInput = input.color(color.yellow, title="MA Color", group='MA Settings') //#7E57C2 //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Input Settings --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- lbrInput = input(title="Pivot Lookback Right", defval=2, group='RSI Divergence Settings') lblInput = input(title="Pivot Lookback Left", defval=2, group='RSI Divergence Settings') lbRangeMaxInput = input(title="Max of Lookback Range", defval=10, group='RSI Divergence Settings') lbRangeMinInput = input(title="Min of Lookback Range", defval=2, group='RSI Divergence Settings') plotBullInput = input(title="Plot Bullish", defval=true, group='RSI Divergence Settings') plotHiddenBullInput = input(title="Plot Hidden Bullish", defval=true, group='RSI Divergence Settings') plotBearInput = input(title="Plot Bearish", defval=true, group='RSI Divergence Settings') plotHiddenBearInput = input(title="Plot Hidden Bearish", defval=true, group='RSI Divergence Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsi = ta.rsi(rsiSourceInput, rsiLengthInput) rsiprevious = rsi = request.security(syminfo.tickerid, rsiTF1, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF2, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF3, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF4, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) rsiMA = ma(rsi, maLengthInput, maTypeInput) rsiMAPrevious = rsiMA //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Stoch RSI Settings + Calculation -------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- showStochRSI = input(false, title="Show Stochastic RSI", group='Stochastic RSI Settings') smoothK = input.int(title="Stochastic K", defval=3, minval=1, maxval=10, group='Stochastic RSI Settings') smoothD = input.int(title="Stochastic D", defval=4, minval=1, maxval=10, group='Stochastic RSI Settings') lengthRSI = input.int(title="Stochastic RSI Lenght", defval=14, minval=1, group='Stochastic RSI Settings') lengthStoch = input.int(title="Stochastic Lenght", defval=14, minval=1, group='Stochastic RSI Settings') colorK = input.color(color.rgb(41,98,255,0), title="K Color", group='Stochastic RSI Settings', inline="1") colorD = input.color(color.rgb(205,109,0,0), title="D Color", group='Stochastic RSI Settings', inline="1") StochRSI = ta.rsi(rsiSourceInput, lengthRSI) k = ta.sma(ta.stoch(StochRSI, StochRSI, StochRSI, lengthStoch), smoothK) //Blue Line d = ta.sma(k, smoothD) //Red Line //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Settings ------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bearColor = color.red bullColor = color.green hiddenBullColor = color.new(color.green, 50) hiddenBearColor = color.new(color.red, 50) //textColor = color.white noneColor = color.new(color.white, 100) osc = rsi plFound = na(ta.pivotlow(osc, lblInput, lbrInput)) ? false : true phFound = na(ta.pivothigh(osc, lblInput, lbrInput)) ? false : true _inRange(cond) => bars = ta.barssince(cond == true) lbRangeMinInput <= bars and bars <= lbRangeMaxInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define Plot & Line Colors --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiColor = rsi >= rsiMA ? rsiColorInput : rsimaColorInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Lines ------------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Create a horizontal line at a specific price level myLine = line.new(bar_index , 75, bar_index, 75, color = color.rgb(187, 14, 14), width = 2) bottom = line.new(bar_index , 50, bar_index, 50, color = color.rgb(223, 226, 28), width = 2) mymainLine = line.new(bar_index , 60, bar_index, 60, color = color.rgb(13, 154, 10), width = 3) hline(50, title='RSI Baseline', color=color.new(rsiBandColorInput, 50), linestyle=hline.style_solid, editable=false) hline(rsiBandExtShowInput ? rsiUpperBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiUpperBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiLowerBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandExtShowInput ? rsiLowerBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandExtInput ? color.new(rsiColorInput, 70) : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandInput ? rsi < rsiUpperBandExtInput ? color.new(#64ffda, 90) : na : na: na, title="Show Overbought Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? rsi > rsiLowerBandExtInput ? color.new(#F43E32, 90) : na : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? color.new(rsimaColorInput, 70) : na : na, title="Show Oversold Highlight", editable=false) maPlot = plot(maShowInput ? rsiMA : na, title='MA', color=color.new(maColorInput,0), linewidth=1) rsiMAPlot = plot(showRSIMAInput ? rsiMA : na, title="RSI EMA", color=color.new(rsimaColorInput,0), editable=false, display=display.none) rsiPlot = plot(rsiShowInput ? rsi : na, title='RSI', color=color.new(rsiColor,0), linewidth=1) fill(rsiPlot, rsiMAPlot, color=color.new(rsiColor, 60), title="RSIMA Cloud") plot(showStochRSI ? k : na, title='Stochastic K', color=colorK, linewidth=1) plot(showStochRSI ? d : na, title='Stochastic D', color=colorD, linewidth=1) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Divergence ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Regular Bullish // Osc: Higher Low oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Lower Low priceLL = low < ta.valuewhen(plFound, low , 1) bullCond = plotBullInput and priceLL and oscHL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Regular Bullish", linewidth=2, color=(bullCond ? bullColor : noneColor) ) plotshape( DivergenceShowInput ? bullCond ? osc : na : na, offset=-lbrInput, title="Regular Bullish Label", text=" Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bullish // Osc: Lower Low oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Higher Low priceHL = low > ta.valuewhen(plFound, low , 1) hiddenBullCond = plotHiddenBullInput and priceHL and oscLL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Hidden Bullish", linewidth=2, color=(hiddenBullCond ? hiddenBullColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBullCond ? osc : na : na, offset=-lbrInput, title="Hidden Bullish Label", text=" H Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Regular Bearish // Osc: Lower High oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Higher High priceHH = high > ta.valuewhen(phFound, high , 1) bearCond = plotBearInput and priceHH and oscLH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Regular Bearish", linewidth=2, color=(bearCond ? bearColor : noneColor) ) plotshape( DivergenceShowInput ? bearCond ? osc : na : na, offset=-lbrInput, title="Regular Bearish Label", text=" Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bearish // Osc: Higher High oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Lower High priceLH = high < ta.valuewhen(phFound, high , 1) hiddenBearCond = plotHiddenBearInput and priceLH and oscHH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Hidden Bearish", linewidth=2, color=(hiddenBearCond ? hiddenBearColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBearCond ? osc : na : na, offset=-lbrInput, title="Hidden Bearish Label", text=" H Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Check RSI Lineup ------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bullTF = rsi > rsi and rsi > rsi bearTF = rsi < rsi and rsi < rsi bullTF1 = rsi1 > rsi1_1 and rsi1_1 > rsi1_2 bearTF1 = rsi1 < rsi1_1 and rsi1_1 < rsi1_2 bullTF2 = rsi2 > rsi2_1 and rsi2_1 > rsi2_2 bearTF2 = rsi2 < rsi2_1 and rsi2_1 < rsi2_2 bullTF3 = rsi3 > rsi3_1 and rsi3_1 > rsi3_2 bearTF3 = rsi3 < rsi3_1 and rsi3_1 < rsi3_2 bullTF4 = rsi4 > rsi4_1 and rsi4_1 > rsi4_2 bearTF4 = rsi4 < rsi4_1 and rsi4_1 < rsi4_2 bbTxt(bull,bear) => bull ? "BULLISH" : bear ? "BEARISCH" : 'NO LINEUP' bbColor(bull,bear) => bull ? bullishColor : bear ? bearishColor : nomatchColor newTC(tBox, col, row, txt, width, txtColor, bgColor, txtHA, txtSize) => table.cell(table_id=tBox,column=col, row=row, text=txt, width=width,text_color=txtColor,bgcolor=bgColor, text_halign=txtHA, text_size=txtSize) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define RSI Table Setting ---------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- width_c0 = 0 width_c1 = 0 if rsiShowTable var tBox = table.new(position=rsiTablePosition, columns=5, rows=6, bgcolor=color.rgb(18,22,33,50), frame_color=color.black, frame_width=1, border_color=color.black, border_width=1) newTC(tBox, 0,1,"RSI Current",width_c0,color.orange,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,1,str.format(" {0,number,#.##} ", rsi),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,1,bbTxt(bullTF, bearTF),width_c0,vWhite,bbColor(bullTF, bearTF),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF1 newTC(tBox, 0,2,TF2txt(rsiTF1),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,2,str.format(" {0,number,#.##} ", rsi1),width_c0,vWhite,rsi1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,2,bbTxt(bullTF1, bearTF1),width_c0,vWhite,bbColor(bullTF1,bearTF1),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,2,str.format(" {0,number,#.##} ", rsi1_1),width_c0,vWhite,rsi1_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,2,str.format(" {0,number,#.##} ", rsi1_2),width_c0,vWhite,rsi1_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF2 newTC(tBox, 0,3,TF2txt(rsiTF2),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,3,str.format(" {0,number,#.##} ", rsi2),width_c0,vWhite,rsi2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,3,bbTxt(bullTF2, bearTF2),width_c0,vWhite,bbColor(bullTF2,bearTF2),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,3,str.format(" {0,number,#.##} ", rsi2_1),width_c0,vWhite,rsi2_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,3,str.format(" {0,number,#.##} ", rsi2_2),width_c0,vWhite,rsi2_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF3 newTC(tBox, 0,4,TF2txt(rsiTF3),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,4,str.format(" {0,number,#.##} ", rsi3),width_c0,vWhite,rsi3 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,4,bbTxt(bullTF3, bearTF3),width_c0,vWhite,bbColor(bullTF3,bearTF3),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,4,str.format(" {0,number,#.##} ", rsi3_1),width_c0,vWhite,rsi3_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,4,str.format(" {0,number,#.##} ", rsi3_2),width_c0,vWhite,rsi3_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF4 newTC(tBox, 0,5,TF2txt(rsiTF4),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,5,str.format(" {0,number,#.##} ", rsi4),width_c0,vWhite,rsi4 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,5,bbTxt(bullTF4, bearTF4),width_c0,vWhite,bbColor(bullTF4,bearTF4),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,5,str.format(" {0,number,#.##} ", rsi4_1),width_c0,vWhite,rsi4_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,5,str.format(" {0,number,#.##} ", rsi4_2),width_c0,vWhite,rsi4_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) //------------------------------------------------------ //--- Alerts ------------------------------------------- //------------------------------------------------------
Wskaźnik Pine Script®
od RandyDahlin