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Forex indicator By petran Elevate your market analysis with this powerful, all-in-one visual toolkit designed for discretionary traders across Forex, indices, and commodities (metals). Core Features: Trading Sessions Overlay: Clear visual bands highlighting the Asian, London, and New York trading sessions directly on your chart. Never miss a market open or a session overlap again. Smart Daily Levels: Automatically plots the most essential reference points from the previous day: PDH / PDL (Previous Day High/Low) – Key support and resistance. PWH / PWL (Previous Week High/Low) – Higher timeframe context. DO (Day Open) – A crucial intraday pivot level. Motivational Watermark: A unique and customizable text overlay at the top of your screen. Display your favorite trading quote, rule, or reminder to maintain the right mindset during the trading day. Clean & Customizable: Designed for clarity. Adjust colors, session times, and watermark text to fit your personal trading style and chart aesthetics. Why Traders Choose This Indicator: Saves Time: No more manually drawing sessions or calculating yesterday's levels. Improves Discipline: The visual sessions and watermark help you trade only during your planned times and follow your rules. Universal Application: Works seamlessly on any liquid market where session activity and daily ranges matter. Perfect for traders who rely on price action, session-based strategies, and need a clean, informative chart environment.
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petran001의
Fib Golden RatioDynamic Fib High → Low (0.5 & 0.618) This indicator automatically tracks the current day’s High and Low and plots the key Fibonacci retracement levels 0.5 (50%) and 0.618 (Golden Ratio) based on the live intraday price range. The tool is designed for traders who want simple, clean, and dynamic intraday Fibonacci levels without clutter on the chart. How It Works Detects the start of a new trading day Tracks the highest high and lowest low of the current day Continuously recalculates: Fibonacci 0.5 (Midpoint) Fibonacci 0.618 (Golden Ratio) Plots clean continuous lines across the chart Fib is calculated from High → Low, matching how typical intraday fib tools are visually applied Why This Indicator No drawings to manually adjust No user configuration required Extremely lightweight and fast Automatically adjusts as the day progresses Perfect for identifying intraday mean reversion zones, pullback zones, and reaction levels Ideal Use Cases Intraday directional trading Scalping pullbacks Mean reversion setups Identifying dynamic support/resistance zones Option scalping (CE/PE)
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Ramesh_G의
Bitcoin Power Law Zones (Dunk)Introduction When viewed on a standard linear chart, Bitcoin’s long-term price action can appear chaotic and exponential. However, when analyzed through the lens of physics and network growth models, a distinct structure emerges. This indicator implements the Bitcoin Power Law , a mathematical model that suggests Bitcoin’s price evolves in a straight line when plotted against time on a "log-log" scale. By calculating parallel bands around this regression line, we create a "Rainbow" of valuation zones that help investors visualize whether the asset is historically overheated, undervalued, or sitting at fair value. The Math Behind the Model The Power Law dictates that price scales with time according to the formula: Price = A * (days since genesis)^b This script uses the specific parameters popularized by recent physics-based analyses of the network: Slope (b): 5.78 (Representing the scaling law of the network adoption). Amplitude (A): 1.45 x 10^-17 (The intercept coefficient). While simple moving averages react to price, this model is predictive based on time and network growth physics, providing a long-term "gravity" center for the asset. Guide to the Valuation Zones Upper Bands (Red/Orange): Extr. Overvalued, High Premium, Overvalued. Historically, these zones have marked cycle peaks where price moved too far, too fast ahead of the network's steady growth. The Baseline (Black Line): Fair Value. The mathematical mean of the Power Law. Price has historically oscillated around this line, treating it as a center of gravity. Lower Bands (Green/Blue): Undervalued, Discount, Deep Discount. These zones represent periods where the market price has historically lagged behind the network's intrinsic value, often marking accumulation phases. Note: The lowest theoretical tiers ("Bitcoin Dead") have been trimmed from this chart to focus on relevant historical support levels. How to Use Logarithmic Scale: You MUST set your chart to "Log" scale (bottom right of the TradingView window) for this indicator to function correctly. On a linear chart, the bands will appear to curve upwards aggressively; on a Log chart, they will appear as smooth, parallel channels. Timeframe: This is a macro-economic indicator. It is best viewed on Daily or Weekly timeframes. Overlay Labels: The indicator includes dynamic labels on the right-side axis, allowing you to instantly see the current price requirements for each valuation zone without manually tracing lines. Credits This script is based on the Power Law theory popularized by Giovanni Santostasi and the original Corridor concepts by Harold Christopher Burger . Disclaimer This tool is for educational and informational purposes only. It visualizes historical mathematical trends and does not constitute financial advice. Past performance of a model is not indicative of future results. Further Reading www.hcburger.com giovannisantostasi.medium.com
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dunk-devs의
Anchored VWAP + Bands + Signals//@version=5 indicator("Anchored VWAP + Bands + Signals", overlay=true) // ===== INPUTS ===== anchorTime = input.time(timestamp("2025-12-02 00:00"), "Anchor Date/Time") std1 = input.float(1.0, "±1σ Band") std2 = input.float(2.0, "±2σ Band") // ===== VWAP CALCULATION ===== var float cumPV = 0.0 var float cumVol = 0.0 if time >= anchorTime cumPV += close * volume cumVol += volume vwap = cumVol != 0 ? cumPV / cumVol : na // ===== STANDARD DEVIATION ===== barsSinceAnchor = bar_index - ta.valuewhen(time >= anchorTime, bar_index, 0) sd = barsSinceAnchor > 1 ? ta.stdev(close, barsSinceAnchor) : 0 // ===== BANDS ===== upper1 = vwap + std1 * sd lower1 = vwap - std1 * sd upper2 = vwap + std2 * sd lower2 = vwap - std2 * sd plot(vwap, color=color.orange, title="VWAP") plot(upper1, color=color.green, title="+1σ Band") plot(lower1, color=color.green, title="-1σ Band") plot(upper2, color=color.red, title="+2σ Band") plot(lower2, color=color.red, title="-2σ Band") // ===== SIGNALS ===== buySignal = ta.crossover(close, lower1) sellSignal = ta.crossunder(close, upper1) plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal") plotshape(sellSignal, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal") alertcondition(buySignal, title="Buy Alert", message="Price touched lower 1σ band – Buy Opportunity") alertcondition(sellSignal, title="Sell Alert", message="Price touched upper 1σ band – Sell Opportunity")
Pine Script® 인디케이터
contentChart48013의
NQ-VIX Expected Move LevelsNQ -VIX Daily Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (NQ Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (NQ Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current NQ price and VIX level Daily Open Expected move
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alanjeremiebarbe의
NIFTY Weekly Option Seller DirectionalHere’s a straight description you can paste into the TradingView “Description” box and tweak if needed: --- ### NIFTY Weekly Option Seller – Regime + Score + Management (Single TF) This indicator is built for **weekly option sellers** (primarily NIFTY) who want a **structured regime + scoring framework** to decide: * Whether to trade **Iron Condor (IC)**, **Put Credit Spread (PCS)** or **Call Credit Spread (CCS)** * How strong that regime is on the current timeframe (score 0–5) * When to **DEFEND** existing positions and when to **HARVEST** profits > **Note:** This is a **single timeframe** tool. The original system uses it on **4H and 1D separately**, then combines scores manually (e.g., using `min(4H, 1D)` for conviction and lot sizing). --- ## Core logic The script classifies the market into 3 regimes: * **IC (Iron Condor)** – range/mean-reversion conditions * **PCS (Put Credit Spread)** – bullish/trend-up conditions * **CCS (Call Credit Spread)** – bearish/trend-down conditions For each regime, it builds a **0–5 score** using: * **EMA stack (8/13/34)** – trend structure * **ADX (custom DMI-based)** – trend strength vs range * **Previous-day CPR** – in CPR vs break above/below * **VWAP (session)** – near/far value * **Camarilla H3/L3** – for IC context * **RSI (14)** – used as a **brake**, not a primary signal * **Daily trend / Daily ADX** – used as **hard gates**, not double-counted as extra points Then: * Scores for PCS / CCS / IC are **cross-penalised** (they pull each other down if conflicting) * Final scores are **smoothed** (current + previous bar) to avoid jumpy signals The **background colour** shows the current regime and conviction: * Blue = IC * Green = PCS * Red = CCS * Stronger tint = higher regime score --- ## Scoring details (per timeframe) **PCS (uptrend, bullish credit spreads)** * +2 if EMA(8) > EMA(13) > EMA(34) * +1 if ADX > ADX_TREND * +1 if close > CPR High * +1 if close > VWAP * RSI brake: * If RSI < 50 → PCS capped at 2 * If RSI > 75 → PCS capped at 3 * Daily gating: * If daily EMA stack is **not** uptrend → PCS capped at 2 **CCS (downtrend, bearish credit spreads)** * +2 if EMA(8) < EMA(13) < EMA(34) * +1 if ADX > ADX_TREND * +1 if close < CPR Low * +1 if close < VWAP * RSI brake: * If RSI > 50 → CCS capped at 2 * If RSI < 25 → CCS capped at 3 * Daily gating: * If daily EMA stack is **not** downtrend → CCS capped at 2 **IC (range / mean-reversion)** * +2 if ADX < ADX_RANGE (low trend) * +1 if close inside CPR * +1 if near VWAP * +0.5 if inside Camarilla H3–L3 * +1 if daily ADX < ADX_RANGE (daily also range-like) * +0.5 if RSI between 45 and 55 (classic balance zone) * Daily gating: * If daily ADX ≥ ADX_TREND → IC capped at 2 (no “strong IC” in strong trends) **Cross-penalty & smoothing** * Each regime’s raw score is reduced by **0.5 × max(other two scores)** * Final IC / PCS / CCS scores are then **smoothed** with previous bar * Scores are always clipped to ** ** --- ## Regime selection * If one regime has the highest score → that regime is selected. * If there is a tie or close scores: * When ADX is high, trend regimes (PCS/CCS) are preferred in the direction of the EMA stack. * When ADX is low, IC is preferred. The selected regime’s score is used for: * Background colour intensity * Minimum score gate for alerts * Display in the info panel --- ## DEFEND / HARVEST / REGIME alerts The script also defines **management signals** using ATR-based buffers and Camarilla breaks: * **DEFEND** * Price moving too close to short strikes (PCS/CCS/IC) relative to ATR, or * Trend breaks through Camarilla with ADX strong → Suggests rolling away / widening / converting to reduce risk. * **HARVEST** * Price has moved far enough from your short strikes (in ATR multiples) and market is still range-compatible → Suggests booking profits / rolling closer / reducing risk. * **REGIME CHANGED** * Regime flips (IC ↔ PCS/CCS) with cooldown and minimum score gate → Suggests switching playbook (range vs trend) for new entries. Each of these has a plotshape label plus an `alertcondition()` for TradingView alerts. --- ## UI / Panel The **top-right panel** (optional) shows: * Strategy + final regime score (IC / PCS / CCS, x/5) * ADX / RSI values * CPR status (Narrow / Normal / Wide + %) * EMA Stack (Up / Down / Mixed) and EMA tightness * VWAP proximity (Near / Away) * Final **IC / PCS / CCS** scores (for this timeframe) * H3/L3, H4/L4, CPR Low/High and VWAP levels (rounded) These values are meant to be **read quickly at the decision time** (e.g. near the close of the 4H bar or daily bar). --- ## Intended workflow 1. Run the script on **4H** and **1D** charts separately. 2. For each timeframe, read the panel’s **IC / PCS / CCS scores** and regime. 3. Decide: * Final regime (IC vs PCS vs CCS) * Combined score (e.g. `AlignScore = min(Score_4H, Score_1D)`) 4. Map that combined score to **your own lot-size buckets** and trade rules. 5. During the life of the position, use **DEFEND / HARVEST / REGIME** alerts to adjust. The script does **not** auto-calculate lot size or P&L. It focuses on giving a structured, consistent **market regime + strength + levels + management** layer for weekly option selling. --- ## Disclaimer This is a discretionary **decision-support tool**, not a guarantee of profit or a replacement for risk management. No performance is implied or promised. Always size positions and manage risk according to your own capital, rules, and regulations.
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distinctSeahor20287의
DH EMA 28/72/200 Unified Ribbon (Scaled HTF)Unified EMA Ribbon (28/72/200) This indicator merges two popular EMA systems — 21/55/200 and 34/89/200 — into a single, smoother trend-tracking ribbon. Each pair of EMAs is averaged to create: EMA 28 (average of 21 & 34) EMA 72 (average of 55 & 89) EMA 200 retained as long-term trend filter The unified ribbon reduces noise, improves trend clarity, and provides clean pullback zones for high-probability entries, especially on the H1 timeframe.
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mustang2807의
Mean Reversion — BB + Z-Score + RSI + EMA200 (TP at Opposite Z)This is a systematic mean-reversion framework for index futures and other liquid assets. This strategy combines Bollinger Bands, Z-Score dislocation, RSI extremes, and a trend-filtering EMA200 to capture short-term mean-reversion inefficiencies in NQ1!. It is designed for high-volatility conditions and uses a precise exit model based on opposite-side Z-Score targets and dynamic mid-band failure detection. 🔍 Entry Logic (Mean Reversion) : The strategy enters trades only when multiple confluence signals align: Long Setup Price at or below the lower Bollinger Band Z-Score ≤ –Threshold (deep statistical deviation) RSI ≤ oversold level Price below the EMA-200 (countertrend mean-reversion only) Cooldown must be completed No open position Short Setup Price at or above the upper Bollinger Band Z-Score ≥ Threshold RSI ≥ overbought level Price above the EMA-200 Cooldown complete No open position This multi-signal gate filters out weak reversions and focuses on mature dislocations. 🎯 Take-Profit Model: Opposite-Side Z-Score Target : Once in a trade, take-profit is set by solving for the price where the Z-Score reaches the opposite side: Long TP = Z = +Threshold Short TP = Z = –Threshold This creates a symmetric statistical exit based on reverting to equilibrium plus overshoot. 🛡️ Stop-Loss System (Volatility-Aware) : Stop losses combine: A fixed base stop (points) A standard-deviation volatility component This adapts the SL to regime changes and avoids being shaken out during rare volatility spikes. ⏳ Half-Life Exit : If a trade has not reverted within a fixed number of bars, it automatically closes. This prevents “mean-reversion traps” during trending periods. 📉 Advanced Mid-Band Exit Logic (BB Basis Failure) : This is the unique feature of the system. After entry: Wait for price to cross the Bollinger Basis (middle band) in the direction of the mean. Start a 5-bar delay timer. After 5 bars, the strategy becomes “armed.” Once armed: If price fails back through the mean, exit immediately. Intrabar exits trigger precisely (with tick-level precision if Bar Magnifier is enabled). This protects profits and exits trades at the first sign of mean-failure. ⏱️ Cooldown System : After each closed trade, a cooldown period prevents immediate re-entry. This avoids clustering and improves statistical independence of trades. 🖥️ What This Strategy Is Best For : High-volatility intraday NQ conditions Statistical mean reversion with structured confluence Traders who want clean, rule-based entries Avoiding trend-day traps using EMA and half-life logic 📊 Included Visual Elements : Bollinger Bands (Upper, Basis, Lower) BUY/SELL markers at signal generation Optional alerts for automated monitoring 🚀 Summary : This is a precision mean-reversion system built around volatility bands, statistical dislocation, and price-behavior confirmation. By combining Z-Score, RSI, EMA200 filtering, and a sophisticated mid-band failure exit, this model captures high-probability reversions while avoiding the common pitfalls of naive band-touch systems.
Pine Script™ 전략
spyqdia의
SPY EMA + VWAP Day Trading Strategy (Market Hours Only)//@version=5 indicator("SPY EMA + VWAP Day Trading Strategy (Market Hours Only)", overlay=true) // === Market Hours Filter (EST / New York Time) === nySession = input.session("0930-1600", "Market Session (NY Time)") inSession = time(timeframe.period, "America/New_York") >= time(nySession, "America/New_York") // EMAs ema9 = ta.ema(close, 9) ema21 = ta.ema(close, 21) // VWAP vwap = ta.vwap(close) // Plot EMAs & VWAP plot(ema9, "EMA 9", color=color.green, linewidth=2) plot(ema21, "EMA 21", color=color.orange, linewidth=2) plot(vwap, "VWAP", color=color.blue, linewidth=2) // ----------- Signals ----------- long_raw = close > ema9 and ema9 > ema21 and close > vwap and ta.crossover(ema9, ema21) short_raw = close < ema9 and ema9 < ema21 and close < vwap and ta.crossunder(ema9, ema21) // Apply Market Hours Filter long_signal = long_raw and inSession short_signal = short_raw and inSession // Plot Signals plotshape(long_signal, title="BUY", style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, text="BUY") plotshape(short_signal, title="SELL", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, text="SELL") // Alerts alertcondition(long_signal, title="BUY Alert", message="BUY Signal (Market Hours Only)") alertcondition(short_signal, title="SELL Alert", message="SELL Signal (Market Hours Only)")
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hungryPiex3L의
NQ-VIX Expected Move LTF LevelsNQ -VIX LTF Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current NQ price and VIX level Current input TF Open Expected move
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alanjeremiebarbe의
ES-VIX Expected Move LTF LevelsES-VIX LTF Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current ES price and VIX level Current input TF Open Expected move
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alanjeremiebarbe의
MTF VWAP Resonance [By Testeded]📈 MTF VWAP Resonance Hunter (多级别 VWAP 共振捕猎者 - 终极版) 🇬🇧 English Description 1. Design Philosophy: The Institutional Edge While typical indicators measure simple price action, VWAP (Volume Weighted Average Price) measures Value and Institutional Cost. Professional traders and algorithms anchor their decisions to time-based benchmarks: Daily, Weekly, Monthly, and Quarterly. When prices return to these levels, they are testing the average cost basis of the market participants from that period. The Logic of "Multi-Level Resonance" (MTF): A single VWAP line can be broken. However, when the Daily VWAP, Weekly Upper Band, and Quarterly Basis all overlap at the exact same price level, a "Market Consensus" is formed. This tool uses a background algorithm to detect these overlaps across 6 Timeframes (4H to Year) and visualizes them as "Resonance Boxes" instead of cluttering your chart with lines. 2. Key Features ⚓ Anchored VWAP Engine: Calculates VWAP + Standard Deviation Bands for 4H, Daily, Weekly, Monthly, Quarterly, and Yearly cycles simultaneously. ⚡ Smart Resonance Radar: Automatically detects when levels from different timeframes cluster together. 2-Line Confluence: ⚡ (Watch) 3-Line Confluence: ⚡⚡ (Strong) 4+ Line Confluence: ⚡⚡⚡ (Iron Wall) 🧘 Visual Modes (Zen / Focus): Full Mode: Shows lines, dashboard, and resonance boxes. Focus Mode: Hides lines, keeps dashboard and boxes. Zen Mode: Hides EVERYTHING except the Resonance Boxes. Pure price action. 🏢 The Quarterly Line: Specifically designed to track the Quarterly VWAP, a critical level for institutional rebalancing and earnings cycles. 🎨 Customizable UI: Adjustable table text size (Small to Huge) and display styles. 3. How to Trade Identify the Wall: Look for Red Boxes (Resistance) or Green Boxes (Support) with high star ratings (⚡⚡). Read the Dashboard: Check the label (e.g., Q VWAP + W Lower). This tells you exactly who is defending this level (e.g., "Quarterly Buyers defending cost"). Sniper Entry: Wait for price to touch the Resonance Box. These levels often trigger sharp reversals or major breakouts. 🇨🇳 中文说明 (Chinese Description) 1. 设计哲学：多级别的全局视角 布林带反映的是波动率，而 VWAP（成交量加权平均价） 反映的是**“真金白银的持仓成本”**。 机构交易者和算法通常会锚定特定的时间周期进行交易：日内、周线、月线以及季度线。 “多级别共振”的逻辑： 单一周期的 VWAP 很容易失效。但是，当 日线 VWAP、周线上轨 和 季度线成本 在同一个价格位置重叠时，意味着短线、中线和长线资金在此处达成了**“价值共识”。 本指标通过后台算法，同时监控 6个时间周期 (4H - 年线)，将这些重叠的价位转化为可视化的“共振框”**，提供一个多级别的全局视角。 2. 核心功能 ⚓ 全周期锚定 VWAP：后台实时计算 4H, 日线, 周线, 月线, 季度线, 年线 的 VWAP 及其标准差轨道。 ⚡ 智能共振雷达：自动检测不同周期的关键位重叠。 2线共振：⚡ (关注) 3线共振：⚡⚡ (强力支撑/阻力) 4线以上：⚡⚡⚡ (核弹级/铁壁共振) 🧘 显示模式 (Zen / Focus)： 全面模式：显示所有线条 + 表格 + 共振框。 专注模式：隐藏线条，保留表格 + 共振框。 极简模式 (Zen)：隐藏一切干扰，只显示共振框。像狙击手一样只看目标。 🏢 季度线增强：特别加入了 Quarterly VWAP (季度线)，这是机构季末调仓和财报周期的重要防守线。 🎨 高度客制化：支持调整表格文字大小（从“小”到“巨大”），适配各种分辨率屏幕。 3. 实战用法 寻找“墙壁”：关注图表上的 红色共振框 (阻力) 或 绿色共振框 (支撑)，尤其是带有 ⚡⚡ 标志的区域。 解读筹码：看一眼右上角的仪表盘标签（例如 Q VWAP + W Lower）。这意味着“季度级别的平均成本”与“周线级别的超卖线”重合，支撑力度极强。 警报交易：开启警报功能。不需要盯着屏幕，当价格撞上共振框时，指标会自动通知你。
Pine Script® 인디케이터
AAAAAA2020의
Dual TF Bearish Divergence (Working)//@version=6 indicator("Dual TF Bearish Divergence (Working)", overlay=true) // ----------------- SIMPLE BEARISH DIVERGENCE FUNCTION ------------------- bearDiv(src, rsiLen, lookbackMin, lookbackMax) => r = ta.rsi(src, rsiLen) ph = ta.pivothigh(src, lookbackMin, lookbackMin) ph_rsi = ta.pivothigh(r, lookbackMin, lookbackMin) ph2 = ph ph2_rsi = ph_rsi priceHH = not na(ph) and not na(ph2) and ph > ph2 rsiLH = not na(ph_rsi) and not na(ph2_rsi) and ph_rsi < ph2_rsi barsOk = lookbackMin >= lookbackMin and lookbackMin <= lookbackMax priceHH and rsiLH and barsOk // ----------------- TF CALLS ------------------- b60 = request.security(syminfo.tickerid, "60", bearDiv(close, 14, 10, 15)) b240 = request.security(syminfo.tickerid, "240", bearDiv(close, 14, 10, 15)) dual = b60 and b240 // ----------------- PLOT ------------------- plotshape(dual, title="Dual Bear Div", style=shape.labeldown, color=color.red, size=size.small, text="🔻BearDiv") // ----------------- ALERT ------------------- alertcondition(dual, "Dual Bearish Div 60+240", "Bearish Divergence on both 60m & 240m")
Pine Script® 인디케이터
primantkumarmishra의