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True Previous Day/Week High & LowTrue Previous Day/Week High & Low What makes this indicator unique: Unlike most previous day high/low indicators that only track SESSION data (e.g., 6:00 PM - 5:00 PM for futures), this indicator calculates the TRUE calendar day high and low from MIDNIGHT TO MIDNIGHT (00:00 - 23:59) in New York time. Why this matters: - Session-based indicators miss crucial price action that occurs during overnight hours - True midnight-to-midnight calculation gives you the ACTUAL daily range - Essential for traders who need accurate previous day levels for support/resistance - Works perfectly on 24-hour markets like futures (NQ, ES, YM, etc.) Features: ✓ True calendar day high/low (00:00-23:59 NY time) ✓ Previous week high/low ✓ Customizable line colors, widths, and styles (solid, dashed, dotted) ✓ Optional labels with adjustable size, color, and spacing ✓ Values displayed on price scale ✓ Toggle individual levels on/off ✓ Optimized for 1-minute charts but works on all timeframes Perfect for: - Futures traders (NQ, ES, YM, RTY) - Day traders using previous day levels as key support/resistance - Swing traders tracking weekly ranges - Anyone who needs accurate 24-hour high/low levels Settings are clean and intuitive - just add to your chart and customize the appearance to match your setup!
Penunjuk Pine Script®
oleh S3ANZY
5
FuTech : Darvas Box (Original Theory) IndicatorFuTech : Darvas Box (Original Theory) Indicator 📈 Introduction 🔹 This indicator implements the legendary Darvas Box theory developed by Nicolas Darvas in the 1950s, which helped him turn $25,000 into $2,000,000 in just 18 months. 🔹 Unlike other box indicators, this implementation strictly follows Darvas' original methodology while adding modern technical features for enhanced usability in today's markets. =============================================================================== 📊 What Makes This Implementation Unique 🔹 This indicator stands apart from other Darvas Box implementations in several key ways: 🔹 It implements the exact "high before low" rule that Darvas used - first identifying the roof (top) of the box, then waiting for the floor (bottom) to form 🔹 It offers two distinct methods for box detection - Swing Confirmation (which waits for price confirmation) and Lookback Period (simpler approach) 🔹 It includes Darvas' critical volume confirmation requirement with customizable parameters 🔹 It incorporates Darvas' focus on strong stocks near their highs through the 52-week high filter 🔹 It provides multi-timeframe capability, allowing application to intraday, daily, weekly, or monthly charts 🔹 It features dynamic box coloring based on breakout direction (green for upward, red for downward) =============================================================================== 🔍 Technical Implementation Details 📦 Box Formation Algorithm 🔹 The indicator constructs boxes using a sophisticated algorithm that follows Darvas' original approach: 🔹 For Swing Confirmation mode: 🔸 The system identifies potential swing highs by looking for price points that are higher than the previous N bars (user-defined) 🔸 Similarly, swing lows are identified as points lower than the previous N bars 🔸 The "high before low" rule ensures a roof is established before a floor is determined 🔸 Once both parameters are locked in, the box is drawn and extended horizontally 🔹 For Lookback Period mode: 🔸 The box high is simply the highest high of the last X bars (user-defined) 🔸 The box low is the lowest low of the last X bars 🔸 This provides a simpler but still effective implementation of Darvas' concept 🚀 Breakout Detection System 🔹 The indicator employs a dual-confirmation system for breakouts: 🔹 Upward Breakout Conditions: 🔸 Price must close above the box roof 🔸 Volume must exceed the volume moving average (default 20-period) multiplied by a factor (default 1.5x) 🔸 The 52-week high filter must be satisfied (price must be within the maximum drawdown percentage from the 52-week high) 🔹 Downward Breakout Conditions: 🔸 Price must close below the box floor 🔸 No volume confirmation is required for downward breakouts (following Darvas' approach) 📊 Volume Confirmation Mechanism 🔹 The indicator calculates volume thresholds using: 🔸 Volume Average = SMA(volume, N) where N is the user-defined period (default 20) 🔸 Volume Threshold = Volume Average × Volume Factor (default 1.5) 🔸 Only when current volume exceeds this threshold is an upward breakout considered valid 📈 Uptrend Filter 🔹 The indicator implements Darvas' focus on strong stocks through: 🔸 52-week High Calculation = Highest price over the past 52 weeks 🔸 Minimum Price Requirement = 52-week High × (1 - Maximum Drawdown %) 🔸 This ensures only stocks that are not too far from their highs generate signals =============================================================================== 🎯 How to Use This Indicator 🔷 Entry Signals 🔹 Wait for a green box to appear, indicating an upward breakout 🔹 Confirm that volume was above average during the breakout (shown by the indicator) 🔹 Verify the stock is within your acceptable distance from its 52-week high 🔹 Consider entering on the next candle after confirmation 🔷 Exit Signals 🔹 Exit when a red box appears, indicating a downward breakout 🔹 Alternatively, use trailing stops below newly formed box lows 🔹 Consider partial exits at predefined profit targets while letting the remainder run 🔷 Parameter Optimization 🔹 For swing traders, use longer lookback periods (20-50 bars) 🔹 For day traders, use shorter periods (5-15 bars) 🔹 Adjust the volume factor based on the asset's typical volatility 🔹 Modify the maximum drawdown percentage based on your risk tolerance =============================================================================== 📚 Historical Context and Trading Philosophy 🔹 Nicolas Darvas developed his box theory while traveling the world as a dancer. 🔹 With limited access to market information, he relied only on price charts and telegrams. 🔹 He discovered that strong stocks tend to pause after hitting new highs, forming what he called "boxes" - sideways ranges where the stock "rests" before its next move. 🔹 By buying only when price broke above these ranges with unusually high volume, he was able to ride powerful uptrends while cutting losses quickly when the breakdown occurred. 🔹 This indicator captures the essence of Darvas' approach - focusing on strength, confirming with volume, and selling weakness quickly - while adding modern technical features to enhance its utility in today's electronic trading environment. =============================================================================== ⚙️ Calculation Summary 🔹 The indicator performs the following calculations: 🔸 Box High = Highest swing high or lookback high (depending on selected method) 🔸 Box Low = Lowest swing low or lookback low (depending on selected method) 🔸 Upward Breakout = Price > Box High AND Volume > (Volume Average × Volume Factor) 🔸 Downward Breakout = Price < Box Low 🔸 Volume Average = SMA(Volume, N) where N is the volume period 🔸 Uptrend Filter = Price ≥ (52-week High × (1 - Maximum Drawdown %)) =============================================================================== 🔔 Alert Configuration 🔹 To set up alerts: 🔸 Right-click on the chart and select "Add Alert" 🔸 Choose the Darvas Box indicator as the alert condition 🔸 Select either "Breakout Up" or "Breakout Down" as the alert condition 🔸 Configure your preferred notification method 🔹 This modernizes Darvas' telegram-based approach, allowing you to receive instant notifications when potential trading opportunities occur. =============================================================================== 📈 Conclusion 🔹 This FuTech : Darvas Box (Original Theory) indicator faithfully implements Nicolas Darvas' legendary trading method while adding modern technical features. 🔹 By focusing on strength, confirming with volume, and providing clear entry and exit signals, it offers traders a structured approach to trend following that has stood the test of time. 🔹 The indicator's multiple detection methods, volume confirmation, and trend filtering make it a comprehensive tool for implementing Darvas' box theory in today's markets. =============================================================================== 🙏 Credits : Inspired by @LevelUpTools
Penunjuk Pine Script®
oleh Atmiya_aatubhai
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
Penunjuk Pine Script®
oleh parthraj414
OSPL Ichimoku + Multi-Trend DashboardOSPL Ichimoku + Multi-Trend Dashboard A professional multi-indicator trend analyzer that fuses Ichimoku Cloud with volume, momentum, and price-based confirmations — all visualized in a dynamic dashboard. 🔍 Overview The OSPL Ichimoku + Multi-Trend Dashboard is a comprehensive market-structure and momentum visualization tool built for serious traders who value clarity, precision, and confirmation. It combines the powerful Ichimoku Cloud system with VWMA, SuperTrend, RSI, and VWAP to provide a 360-degree view of market direction, trend strength, and trade zones. This indicator allows traders to instantly read multi-indicator alignment through a color-coded dashboard, helping filter out noise and improve timing for entries and exits. ⚙️ Core Features 🟢 1. Ichimoku Cloud Framework Displays all major Ichimoku elements: Tenkan-Sen, Kijun-Sen, Senkou Span A & B (Kumo Cloud). Detects Bullish and Bearish Tenkan-Kijun Crossovers. Identifies Cloud Trend Bias (price above, below, or inside the Kumo). Marks Buy / Sell / Wait Zones automatically based on price structure and line alignment. ⚡ 2. Multi-Indicator Confirmation Layer Enhance trend validation using: VWMA (Volume-Weighted Moving Average): Measures volume-driven price trend. SuperTrend: Uses ATR to confirm trend direction and detect reversals. RSI (Relative Strength Index): Gauges market momentum — above 50 indicates bullish bias, below 50 bearish. VWAP (Volume-Weighted Average Price): Tracks institutional and fair value price zones. Each of these indicators contributes to a synchronized dashboard view that instantly reveals market bias. 📊 3. Interactive Dashboard Display Clean, modern bottom-right table summarizing indicator values and their current trend status. Color-coded trend map: 🟢 Green = Bullish 🔴 Red = Bearish 🟡 Yellow = Neutral / Wait Quick visual reference — ideal for active traders who rely on multiple confirmations before taking trades. 🌥 4. Kumo Visualization Smoothly shaded Ichimoku Cloud fill highlights dominant market phase (bullish or bearish). Dynamic transition coloring enhances visibility of potential breakouts or reversals. 🎯 How to Use Use the dashboard as a trend alignment and confirmation tool: Bullish Confluence Example: Price above Kumo Cloud Tenkan-Sen > Kijun-Sen RSI > 50 SuperTrend below price VWMA and VWAP trending upward Bearish Confluence Example: Price below Kumo Cloud Tenkan-Sen < Kijun-Sen RSI < 50 SuperTrend above price VWMA and VWAP trending downward When most indicators align in the same direction, the system provides high-probability trade zones. It can be used across all timeframes, from intraday scalping to multi-day swing trading. 🧩 Why Use This Indicator ✅ Filters false signals by combining multiple trend tools. ✅ Eliminates the need to switch between multiple indicators. ✅ Offers an at-a-glance visual assessment of overall market bias. ✅ Adaptable to any asset: stocks, indices, forex, commodities, or crypto. ✅ Ideal for traders using trend-following, momentum, or confirmation-based strategies. 🧠 Professional Tips Combine the dashboard signals with price action and volume breakouts for enhanced accuracy. Use higher timeframe Ichimoku structure as a directional filter (e.g., check the 1-hour trend while trading on 15-minute). Apply ATR-based stop loss and multi-timeframe confluence to further strengthen entries. Works exceptionally well with Heikin Ashi candles for smoother visual trends. 💡 Suggested Use Cases Intraday & Swing Trading Trend Continuation & Reversal Identification Multi-Indicator Confirmation System Dashboard-Style Strategy Testing and Backtesting ⚠️ Disclaimer This indicator is designed for educational and analytical purposes only. It is not financial advice and does not guarantee profitability. Always perform independent analysis and apply prudent risk management before executing trades.
Penunjuk Pine Script®
oleh RANAPRATAP24
Yield Curve Phase Signal - Macro OpticsThe Yield Curve Phase Signal identifies where we are in the 10s–2s curve by detecting pivots and classifying each span as Bull Steepening, Bear Steepening, Bear Flattening, or Bull Flattening with clear background shading and date labels. A live table tracks 10-year and 2-year yield performance across current, previous, 1-week, 1-month, and 3-month windows, plus the curve delta, so you can see phase shifts in real time. Use the chart, table, and the Yield Curve Phase Signal PDF presentation slides together to spot regime transitions that tend to precede rotations across equities, rates, and risk assets. To get your copy of the pdf slides that go with this indicator, go to macro-optics.com
Penunjuk Pine Script®
oleh johnnyszerdi
momentum spread strategy ilkerThis script is the opposite of a traditional mean-reversion pairs trading strategy. It is a "Cointegration Breakdown" or "Momentum Divergence" tool. Instead of betting on a spread's Z-Score to revert to 0, this strategy is designed to identify when the statistical relationship (the "elastic band") has snapped. It then provides signals to trade with the momentum as the spread diverges. It filters for true breakouts by waiting for a "Momentum Regime," which is confirmed only when the pair's relationship becomes statistically unstable. ## 📈 Key Features 1. The Momentum Regime (Blue Background) This is the core of the indicator. The background turns BLUE to signal a "Momentum Regime". This is the only time you should look for a momentum trade. The blue background activates only if TWO conditions are met simultaneously: • 1. Relationship Instability: The pair's relationship is broken. This is confirmed when either the rolling Correlation Z-Score (purple line) breaks down OR the Volatility Ratio (orange line) becomes unstable. • 2. Divergence Confirmation: The Half-Life calculation (from our v2.8 script) shows "N/A (Divergent)" in the dashboard. This mathematically confirms the mean-reverting force (\lambda) is gone (it has turned positive) and the spread is statistically diverging. If the background is GRAY, the script is in a "Neutral" or "Mean-Reversion" state, and all momentum signals should be ignored. 2. Momentum Breakout Signals This strategy inverts the Z-Score logic. The 0-line is not a profit target; it is the breakout line. • BUY Signal (Blue Triangle ▲): Appears only if the background is BLUE and the Z-Score (blue line) crosses ABOVE 0. This is your long momentum entry. • SELL Signal (Fuchsia Triangle ▼): Appears only if the background is BLUE and the Z-Score crosses BELOW 0. This is your short momentum entry. 3. Built-in Trade Management • Take Profit (X Cross): Your profit target is the outer band. The script plots an 'X' when the Z-Score hits the +2.0 band (for longs) or the -2.0 band (for shorts). • Stop Loss (X Cross): Your stop is a failure of the momentum. The script plots an 'X' if the Z-Score re-crosses the 0-line against your trade. 4. Full Quant Dashboard All the statistical components are plotted for analysis: • Price Z-Score (Blue Line): Your primary momentum indicator. • Z-Score Correlation (Purple Line): Lets you visually confirm the correlation breakdown. • Volatility Ratio (Orange Line): Lets you visually confirm the volatility spike. • Half-Life Dashboard: Confirms the regime by showing "N/A (Divergent)". ## 🛠 How to Use (Required Setup) IMPORTANT: This indicator is designed to run on a spread chart (e.g., M2K/MES or MGC/SIL). 1. Load your spread chart first (e.g., type M2K/MES in the ticker bar). 2. Add this indicator to the chart. 3. Go into the indicator's Settings (⚙). 4. In the "Inputs" tab, you MUST fill in the two individual tickers: • Ticker du Symbole 1 (REQUIS): M2K • Ticker du Symbole 2 (REQUIS): MES 5. The script uses these two inputs to calculate the Volatility and Correlation filters. The main Z-Score is calculated from the spread chart itself. This tool is for traders who want to capture explosive divergence moves that happen during fundamental news or regime changes, while filtering out the "noise" of stable, mean-reverting periods.
Penunjuk Pine Script®
oleh andrisjeudi
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
Penunjuk Pine Script®
oleh chervolino
Best Time Slots — Auto-Adapt (v6, TF-safe) + Range AlertsTime & binning Auto-adapt to timeframe Makes all time windows scale to your chart’s bar size (so it “just works” on 1m, 15m, 4H, Daily). • On = recommended. • Off = fixed default lengths. Minimum Bin (minutes) The size of each daily time slot we track (e.g., 5-min bins). The script uses the larger of this and your bar size. • Higher = fewer, broader slots; smoother stats. • Lower = more, narrower slots; needs more history. • Try: 5–15 on intraday, 60–240 on higher TFs. Lookback windows (used when Auto-adapt = ON) Target ER Window (minutes) How far back we look to judge Efficiency Ratio (how “straight” the move was). • Higher = stricter/smoother; fewer bars qualify as “movement”. • Lower = more sensitive. • Try: 60–120 min intraday; 240–600 min for higher TFs. Target ATR Window (minutes) How far back we compute ATR (typical range). • Higher = steadier ATR baseline. • Lower = reacts faster. • Try: 30–120 min intraday; 240–600 min higher TFs. Target Normalization Window (minutes) How far back for the average ATR (the baseline we compare to). • Higher = stricter “above average range” check. • Lower = easier to pass. • Try: ~500–1500 min. What counts as “movement” ER Threshold (0–1) Minimum efficiency a bar must have to count as movement. • Higher = only very “clean, one-direction” bars count. • Lower = more bars count. • Try: 0.55–0.65. (0.60 = balanced.) ATR Floor vs SMA(ATR) Requires range to be at least this many × average ATR. • Higher (e.g., 1.2) = demand bigger-than-usual ranges. • Lower (e.g., 0.9) = allow smaller ranges. • Try: 1.0 (above average). How history is averaged Recent Days Weight (per-day decay) Gives more weight to recent days. Example: 0.97 ≈ each day old counts ~3% less. • Higher (0.99) = slower fade (older days matter more). • Lower (0.95) = faster fade. • Try: 0.97–0.99. Laplace Prior Seen / Laplace Prior Hit “Starter counts” so early stats aren’t crazy when you have little data. • Higher priors = probabilities start closer to average; need more real data to move. • Try: Seen=3, Hit=1 (defaults). Min Samples (effective) Don’t highlight a slot unless it has at least this many effective samples (after decay + priors). • Higher = safer, but fewer highlights early. • Try: 3–10. When to highlight on the chart Min Probability to Highlight We shade/mark bars only if their slot’s historical movement probability is ≥ this. • Higher = pickier, fewer highlights. • Lower = more highlights. • Try: 0.45–0.60. Show Markers on Good Bins Draws a small square on bars that fall in a “good” slot (in addition to the soft background). Limit to market hours (optional) Restrict to Session + Session Only learn/score inside this time window (e.g., “0930-1600”). Uses the chart/exchange timezone. • Turn on if you only care about RTH. Range (chop) alerts Range START if ER ≤ Triggers range when efficiency drops below this level (price starts zig-zagging). • Higher = easier to call “range”. • Lower = stricter. Range START if ATR ≤ this × SMA(ATR) Also triggers range when ATR shrinks below this fraction of its average (volatility contraction). • Higher (e.g., 1.0) = stricter (must be at/under average). • Lower (e.g., 0.9) = easier to call range. Alerts on bar close If ON, alerts fire once per bar close (cleaner). If OFF, they can trigger intrabar (faster, noisier). Quick “what happens if I change X?” Want more highlighted times? ↓ Min Probability, ↓ ER Threshold, or ↓ ATR Floor (e.g., 0.9). Want stricter highlights? ↑ Min Probability, ↑ ER Threshold, or ↑ ATR Floor (e.g., 1.2). Want recent days to matter more? ↑ Recent Days Weight toward 0.99. On 4H/Daily, widen Minimum Bin (e.g., 60–240) and maybe lower Min Probability a bit.
Penunjuk Pine Script®
oleh hfdavid
Ema Adaptativa by JA Adaptive EMA Crossover Indicator The Adaptive EMA Crossover Indicator is a trend-following tool designed to dynamically adjust to different market timeframes. It combines short-, medium-, and long-term moving averages to identify shifts in momentum and potential trend reversals with enhanced clarity. The adaptive moving average automatically changes its sensitivity depending on the selected chart timeframe, allowing it to better align with the prevailing market structure. In parallel, two faster EMAs are used to detect crossovers that often precede strong directional moves. The indicator visually enhances the chart by: Coloring candles according to the current market bias (bullish, bearish, or neutral). Highlighting key crossover points with on-chart labels and markers. Displaying dynamic EMA lines that change color based on price interaction, helping traders quickly spot when the market transitions between strength and weakness. This makes it suitable for traders seeking clear visual cues for momentum shifts, trend confirmation, and early signal detection across multiple timeframes.
Penunjuk Pine Script®
oleh easypipsja
Indian + Evening Session HighlighterThis indicator visually highlights two key trading windows for Indian instruments according to IST: Indian Session: 9:00 AM to 11:30 PM IST is shaded light orange on the chart, representing the main domestic trading hours for stocks, indices, commodities, or derivatives. Evening Session: 5:00 PM to 10:30 PM IST is shaded light red, marking the commonly followed evening window, which often captures the impact of US and European market movements. The indicator automatically overlays these session backgrounds on your chart, helping you quickly identify when price action occurs during India’s core and evening trade windows. This allows traders to focus on strategies specific to these time intervals, identify session-based volatility, and avoid trading during less active periods. If the evening session overlaps with the Indian session, the colors are layered for visual clarity.​ It is ideal for intraday traders, option strategists, and anyone monitoring Indian market rhythms or US-linked volatility impacts on Indian assets. No inputs are required; simply apply the script and view distinct session highlights for improved timing and decision making.
Penunjuk Pine Script®
oleh ShirishShringare
BentoboxThe "Bentobox" indicator is a comprehensive, overlay-based trend-following system for TradingView. Its primary function is to identify the main market trend and provide potential buy and sell signals based on a customized version of the "Optimized Trend Tracker" (OTT) logic. It plots directly on the price chart, providing clear visual cues through a combination of lines, background highlighting, and signal labels. Core Components Support Line (Moving Average): This is the foundational calculation of the indicator. It is a moving average of the price (using the 'Source' input, default is close). The user can choose from eight different moving average types: SMA, EMA, WMA, TMA, VAR (a custom Variable MA), WWMA (Welles Wilder's MA), ZLEMA (Zero-Lag EMA), and TSF (Time Series Forecast). OTT Line (Main Trend Line): This is the indicator's main plot and the core of the trend-following logic. It functions as a dynamic, trailing stop-loss line that adjusts based on the "Support Line" (the selected MA) and a user-defined "Percent" value. In an uptrend, the line trails below the price and only moves up or sideways. In a downtrend, it trails above the price and only moves down or sideways. A crossover of the "Support Line" above or below this OTT line is what determines a change in the calculated trend. Visuals and Signals The indicator provides multiple visual aids and signal options: Trend Highlighter: Fills the background area between the price and the OTT line. By default, it's green when the "Support Line" is above the OTT line (uptrend) and red when it's below (downtrend). OTT Line Coloring: The OTT line itself can be set to change color (e.g., green for up, red for down) when the trend direction flips. Buy/Sell Signals: The user can enable three different types of "Buy" and "Sell" labels on the chart: Price/OTT Crossing: A signal appears when the price (src) crosses over or under the main OTT line. Support Line Crossing: A signal appears when the "Support Line" (the MA) crosses over or under the main OTT line. OTT Color Change: A signal appears at the moment the OTT line itself changes its calculated trend direction. User Inputs (Settings) The indicator is highly customizable through its settings: Source: The price data used for all calculations (e.g., Close, Open, HLC3). OTT Period: The lookback period (length) for the selected moving average. OTT Percent: The percentage value used to calculate the distance of the OTT line from the moving average. A smaller value makes it more sensitive to price changes, while a larger value creates a smoother, less responsive line. Moving Average Type: A dropdown menu to select one of the eight available MAs. Show/Hide Toggles: A series of checkboxes to enable or disable the "Support Line," the background "Highlighter," and all three types of buy/sell signals.
Penunjuk Pine Script®
oleh raidboyyy
Multi-Mode Seasonality Map [BackQuant]Multi-Mode Seasonality Map A fast, visual way to expose repeatable calendar patterns in returns, volatility, volume, and range across multiple granularities (Day of Week, Day of Month, Hour of Day, Week of Month). Built for idea generation, regime context, and execution timing. What is “seasonality” in markets? Seasonality refers to statistically repeatable patterns tied to the calendar or clock, rather than to price levels. Examples include specific weekdays tending to be stronger, certain hours showing higher realized volatility, or month-end flow boosting volumes. This tool measures those effects directly on your charted symbol. Why seasonality matters It’s orthogonal alpha: timing edges independent of price structure that can complement trend, mean reversion, or flow-based setups. It frames expectations: when a session typically runs hot or cold, you size and pace risk accordingly. It improves execution: entering during historically favorable windows, avoiding historically noisy windows. It clarifies context: separating normal “calendar noise” from true anomaly helps avoid overreacting to routine moves. How traders use seasonality in practice Timing entries/exits : If Tuesday morning is historically weak for this asset, a mean-reversion buyer may wait for that drift to complete before entering. Sizing & stops : If 13:00–15:00 shows elevated volatility, widen stops or reduce size to maintain constant risk. Session playbooks : Build repeatable routines around the hours/days that consistently drive PnL. Portfolio rotation : Compare seasonal edges across assets to schedule focus and deploy attention where the calendar favors you. Why Day-of-Week (DOW) can be especially helpful Flows cluster by weekday (ETF creations/redemptions, options hedging cadence, futures roll patterns, macro data releases), so DOW often encodes a stable micro-structure signal. Desk behavior and liquidity provision differ by weekday, impacting realized range and slippage. DOW is simple to operationalize: easy rules like “fade Monday afternoon chop” or “press Thursday trend extension” can be tested and enforced. What this indicator does Multi-mode heatmaps : Switch between Day of Week, Day of Month, Hour of Day, Week of Month . Metric selection : Analyze Returns , Volatility ((high-low)/open), Volume (vs 20-bar average), or Range (vs 20-bar average). Confidence intervals : Per cell, compute mean, standard deviation, and a z-based CI at your chosen confidence level. Sample guards : Enforce a minimum sample size so thin data doesn’t mislead. Readable map : Color palettes, value labels, sample size, and an optional legend for fast interpretation. Scoreboard : Optional table highlights best/worst DOW and today’s seasonality with CI and a simple “edge” tag. How it’s calculated (under the hood) Per bar, compute the chosen metric (return, vol, volume %, or range %) over your lookback window. Bucket that metric into the active calendar bin (e.g., Tuesday, the 15th, 10:00 hour, or Week-2 of month). For each bin, accumulate sum , sum of squares , and count , then at render compute mean , std dev , and confidence interval . Color scale normalizes to the observed min/max of eligible bins (those meeting the minimum sample size). How to read the heatmap Color : Greener/warmer typically implies higher mean value for the chosen metric; cooler implies lower. Value label : The center number is the bin’s mean (e.g., average % return for Tuesdays). Confidence bracket : Optional “ ” shows the CI for the mean, helping you gauge stability. n = sample size : More samples = more reliability. Treat small-n bins with skepticism. Suggested workflows Pick the lens : Start with Analysis Type = Returns , Heatmap View = Day of Week , lookback ≈ 252 trading days . Note the best/worst weekdays and their CI width. Sanity-check volatility : Switch to Volatility to see which bins carry the most realized range. Use that to plan stop width and trade pacing. Check liquidity proxy : Flip to Volume , identify thin vs thick windows. Execute risk in thicker windows to reduce slippage. Drill to intraday : Use Hour of Day to reveal opening bursts, lunchtime lulls, and closing ramps. Combine with your main strategy to schedule entries. Calendar nuance : Inspect Week of Month and Day of Month for end-of-month, options-cycle, or data-release effects. Codify rules : Translate stable edges into rules like “no fresh risk during bottom-quartile hours” or “scale entries during top-quartile hours.” Parameter guidance Analysis Period (Days) : 252 for a one-year view. Shorten (100–150) to emphasize the current regime; lengthen (500+) for long-memory effects. Heatmap View : Start with DOW for robustness, then refine with Hour-of-Day for your execution window. Confidence Level : 95% is standard; use 90% if you want wider coverage with fewer false “insufficient data” bins. Min Sample Size : 10–20 helps filter noise. For Hour-of-Day on higher timeframes, consider lowering if your dataset is small. Color Scheme : Choose a palette with good mid-tone contrast (e.g., Red-Green or Viridis) for quick thresholding. Interpreting common patterns Return-positive but low-vol bins : Favorable drift windows for passive adds or tight-stop trend continuation. Return-flat but high-vol bins : Opportunity for mean reversion or breakout scalping, but manage risk accordingly. High-volume bins : Better expected execution quality; schedule size here if slippage matters. Wide CI : Edge is unstable or sample is thin; treat as exploratory until more data accumulates. Best practices Revalidate after regime shifts (new macro cycle, liquidity regime change, major exchange microstructure updates). Use multiple lenses: DOW to find the day, then Hour-of-Day to refine the entry window. Combine with your core setup signals; treat seasonality as a filter or weight, not a standalone trigger. Test across assets/timeframes—edges are instrument-specific and may not transfer 1:1. Limitations & notes History-dependent: short histories or sparse intraday data reduce reliability. Not causal: a hot Tuesday doesn’t guarantee future Tuesday strength; treat as probabilistic bias. Aggregation bias: changing session hours or symbol migrations can distort older samples. CI is z-approximate: good for fast triage, not a substitute for full hypothesis testing. Quick setup Use Returns + Day of Week + 252d to get a clean yearly map of weekday edge. Flip to Hour of Day on intraday charts to schedule precise entries/exits. Keep Show Values and Confidence Intervals on while you calibrate; hide later for a clean visual. The Multi-Mode Seasonality Map helps you convert the calendar from an afterthought into a quantitative edge, surfacing when an asset tends to move, expand, or stay quiet—so you can plan, size, and execute with intent.
Penunjuk Pine Script®
oleh BackQuant
NLR-ADX Divergence Strategy Triple-ConfirmedHow it works Builds a cleaner DMI/ADX Recomputes classic +DI, −DI, ADX over a user-set length. Then “non-linear regresses” each series toward a mean (your choice: dynamic EMA of the series or a fixed Static Mid like 50). The further a value is from the mean, the stronger the pull (controlled by alphaMin/alphaMax and the γ exponent), giving smoother, more stable DI/ADX lines with less whipsaw. Optional EMA smoothing on top of that. Lock in values at confirmed pivots Uses price pivots (left/right bars) to confirm swing lows and highs. When a pivot confirms, the script captures (“freezes”) the current +DI, −DI, and ADX values at that bar and stores them. This avoids later drift from smoothing/EMAs. Check for triple divergence For a bullish setup (potential long): Price makes a Lower Low vs. a prior pivot low, +DI is higher than before (bulls quietly stronger), −DI is lower (bears weakening), ADX is lower (trend fatigue). For a bearish setup (potential short) Price makes a Higher High, +DI is lower, −DI is higher, ADX is lower. Adds a “no-intersection” sanity check: between the two pivots, the live series shouldn’t snake across the straight line connecting endpoints. This filters messy, low-quality structures. Trade logic On a valid triple-confirm, places a strategy.entry (Long for bullish, Short for bearish) and optionally labels the bar (BUY or SELL with +DI/−DI/ADX arrows). Simple flip behavior: if you’re long and a new short signal prints (or vice versa), it closes the open side and flips. Key inputs you can tweak Custom DMI Settings DMI Length — base length for DI/ADX. Non-Linear Regression Model Mean Reference — EMA(series) (dynamic) or Static mid (e.g., 50). Dynamic Mean Length & Deviation Scale Length — govern the mean and scale used for regression. Min/Max Regression & Non-Linearity Exponent (γ) — how strongly values are pulled toward the mean (stronger when far away). Divergence Engine Pivot Left/Right Bars — how strict the swing confirmation is (larger = more confirmation, more delay). Min Bars Between Pivots — avoids comparing “near-duplicate” swings. Max Historical Pivots to Store — memory cap.
Strategi Pine Script®
oleh Cmo22
Squeeze Momentum ProSQUEEZE MOMENTUM PRO - Enhanced Visual Dashboard A modernized version of the TTM Squeeze Momentum indicator, designed for cleaner visual interpretation and faster decision-making. ═══════════════════════════════════════════ 📊 WHAT IS THE SQUEEZE? ═══════════════════════════════════════════ The "squeeze" occurs when Bollinger Bands contract inside Keltner Channels, indicating extremely low volatility. This compression typically precedes explosive directional moves - the tighter the squeeze, the bigger the potential breakout. John Carter's TTM Squeeze concept (from "Mastering the Trade") combines this volatility compression with momentum direction to identify high-probability setups. ═══════════════════════════════════════════ ✨ WHAT'S NEW IN THIS VERSION ═══════════════════════════════════════════ 🎯 VISUAL STATUS BAR - Real-time squeeze state with clear labels - Color-coded backgrounds (Red = Building, Green = Fired Bullish, Orange = Fired Bearish) - Squeeze duration counter to gauge compression time 📊 ENHANCED HISTOGRAM - 4-color momentum gradient (Strong Bull/Weak Bull/Weak Bear/Strong Bear) - Instantly shows both direction AND strength - Background shading for current market state 🔥 SQUEEZE INTENSITY GAUGE - 5-dot pressure indicator showing compression tightness - Percentage display of squeeze strength - Only appears during active squeezes 📈 REAL-TIME METRICS PANEL - Current momentum value - Direction indicator (increasing/decreasing) - Strength assessment (strong/weak) 🔔 COMPREHENSIVE ALERTS - Squeeze started - Squeeze fired (bullish/bearish) - Momentum crossovers ═══════════════════════════════════════════ 🎮 HOW TO USE ═══════════════════════════════════════════ 1. WAIT FOR SQUEEZE • Red status bar appears • Intensity dots show compression level • Longer duration = potentially bigger move 2. WATCH FOR RELEASE • Status changes to "FIRED - BULLISH" or "FIRED - BEARISH" • Histogram color confirms momentum direction • Background highlights the event 3. MANAGE POSITION • Monitor momentum strength in metrics panel • Exit when histogram changes color (momentum reversal) • Use with trend/volume confirmation ═══════════════════════════════════════════ ⚙️ CUSTOMIZATION ═══════════════════════════════════════════ - Toggle status bar, metrics, intensity dots independently - Adjustable BB/KC parameters - Custom color schemes - Show/hide squeeze duration ═══════════════════════════════════════════ 🙏 CREDITS ═══════════════════════════════════════════ Original TTM Squeeze concept: John F. Carter Original indicator code: LazyBear (@LazyBear) This builds on LazyBear's excellent implementation of the TTM Squeeze Momentum indicator, adding modern visual elements and real-time dashboards for improved usability. Original indicator: "Squeeze Momentum Indicator " ═══════════════════════════════════════════ ⚠️ DISCLAIMER ═══════════════════════════════════════════ This indicator is for educational purposes. Always use proper risk management and combine with other forms of analysis. No indicator guarantees profitable trades. ═══════════════════════════════════════════ Best used on: Day trading timeframes (1m-15m) for momentum plays Combine with: Volume analysis, trend filters, support/resistance levels
Penunjuk Pine Script®
oleh DayTradingMD1992
XAUUSD Multi-Timeframe Supertrend Alert v2**Indicator Overview: XAUUSD Multi-Timeframe Supertrend Alert v2** **Core Components:** 1. **Multi-Timeframe Supertrend System** - Two Supertrend indicators (ST1 & ST2) with customizable timeframes - ST1 typically set to Daily, ST2 to Weekly as main trend - Visualized with distinct colors and background fills 2. **Customizable SMA** - Adjustable period and timeframe - Plotted as blue line for additional trend reference 3. **Neutral Zone System** - Creates a neutral line offset from ST1 by customizable tick distance - Yellow dashed line that adjusts based on ST1 trend direction - **Alert Conditions:** - **Test Buy Zone**: Both ST1 & ST2 in uptrend AND price enters neutral zone above ST1 - **Test Sell Zone**: Both ST1 & ST2 in downtrend AND price enters neutral zone below ST1 4. **Distance Lines from ST2** - Upper/lower lines at customizable tick distance from ST2 - Purple dashed lines with touch alerts **Trading Signals:** - **Bullish Signal**: Price above ST2 but below ST1 (potential buy) - **Bearish Signal**: Price below ST2 but above ST1 (potential sell) - **Neutral Zone Alerts**: Price enters defined zone when both trends align - **Line Touch Alerts**: Price touches distance lines from ST2 **Alert System:** - Limited to 3 consecutive alerts per signal type - Visual markers (triangles, diamonds, circles) - Background coloring for signal zones - Separate alert conditions for each signal type **Visual Features:** - Candles colored green/red based on signals - Clear trend visualization with colored backgrounds - Real-time alert markers without information table clutter This indicator provides multi-timeframe trend analysis with precise entry zone detection and comprehensive alert system for XAUUSD trading. SAM89 M15, ST1 (5:10) M5, ST2 ( 1,5:20) H1, Test Buy Sell 7000, Line 15000
Penunjuk Pine Script®
oleh Debayako