Bắt đầu

Multitimeframe

[AS] MACD-v & Hist [Alex Spiroglou | S.M.A.R.T. TRADER SYSTEMS] MACD-v & MACD-v Histogram ======================================= Volatility Normalised Momentum 📈 Twice Awarded Indicator 🏆 ======================================= ======================================= ✅ 1. INTRODUCTION TO THE MACD-v ✅ ======================================= I created the MACD-v in 2015, as a way to deal with the limitations of well known indicators like the Stochastic, RSI, MACD. I decided to publicly share a very small part of my research in the form of a research paper I wrote in 2022, titled "MACD-v: Volatility Normalised Momentum". That paper was awarded twice: 1. The "Charles H. Dow" Award (2022), for outstanding research in Technical Analysis, by the Chartered Market Technicians Association (CMTA) 2. The "Founders" Award (2022), for advances in Active Investment Management, by the National Association of Active Investment Managers (NAAIM) ======================================= =================================================== ❌ 2. WHY CREATE THE MACD-v ? THE LIMITATIONS OF CONVENTIONAL MOMENTUM INDICATORS ==================================================== Technical Analysis indicators focused on momentum, come in two general categories, each with its own set of limitations: (i) Range Bound Oscillators (RSI, Stochastics, etc) These usually have a scaling of 0-100, and thus have the advantage of having normalised readings, that are comparable across time and securities. However they have the following limitations (among others): 1. Skewing effect of steep trends 2. Indicator values do not adjust with and reflect true momentum (indicator values are capped to 100) (ii) Unbound Oscillators (MACD, RoC, etc) These are boundless indicators, and can expand with the market, without being limited by a 0-100 scaling, and thus have the advantage of really measuring momentum. They have the main following limitations (among others): 1. Subjectivity of overbought / oversold levels 2. Not comparable across time 3. Not comparable across securities ======================================= ======================================= 💡 3. THE SOLUTION TO SOLVE THESE LIMITATIONS ======================================= In order to deal with these limitations, I decided to create an indicator, that would be the "Best of two worlds". A unique & hybrid indicator, that would have objective normalised readings (similar to Range Bound Oscillators - RSI) but would also be able to have no upper/lower boundaries (similar to Unbound Oscillators - MACD). This would be achieved by "normalising" a boundless oscillator (MACD) ======================================= ================================================== ⛔ 4. DEEP DIVE INTO THE 5 LIMITATIONS OF THE MACD ================================================== A Bloomberg study found that the MACD is the most popular indicator after the RSI, but the MACD has 5 BIG limitations. Limitation 1: MACD values are not comparable across Time The raw MACD values shift as the underlying security's absolute value changes across time, making historical comparisons obsolete e.g S&P 500 maximum MACD was 1.56 in 1957-1971, but reached 86.31 in 2019-2021 - not indicating 55x stronger momentum, but simply different price levels. Limitation 2: MACD values are not comparable across Assets Traditional MACD cannot compare momentum between different assets. S&P 500 MACD of 65 versus EUR/USD MACD of -0.5 reflects absolute price differences, not momentum differences Limitation 3: MACD values cannot be Systematically Classified Due to limitations #1 & #2, it is not possible to create a momentum level classification scale where one can define "fast", "slow", "overbought", "oversold" momentum making systematic analysis impossible Limitation 4: MACD Signal Line gives false crossovers in low-momentum ranges In range-bound, low momentum environments, most of the MACD signal line crossovers are false (noise) Since there is no objective momentum classification system (limitation #3), it is not possible to filter these signals out, by avoiding them when momentum is low Limitation 5: MACD Signal Line gives late crossovers in high momentum regimes. Signal lag in strong trends not good at timing the turning point — In high-momentum moves, MACD crossovers may come late. Since there is no objective momentum classification system (limitation #3), it is not possible to filter these signals out, by avoiding them when momentum is high =================================================================== =================================================================== 🏆 5. MACD-v : THE SOLUTION TO THE LIMITATIONS OF THE MACD , RSI, etc ==================================================================== MACD-v is a volatility normalised momentum indicator. It remedies these 5 limitations of the classic MACD, while creating a tool with unique properties. Formula: × 100 MACD-V enhances the classic MACD by normalizing for volatility, transforming price-dependent readings into standardized momentum values. This resolves key limitations of traditional MACD and adds significant analytical power. Core Advantages of MACD-V Advantage 1: Time-Based Stability MACD-V values are consistent and comparable over time. A reading of 100 has the same meaning today as it did in the past (unlike traditional MACD which is influenced by changes in price and volatility over time) Advantage 2: Cross-Market Comparability MACD-V provides universal scaling. Readings (e.g., ±50) apply consistently across all asset classes—stocks, bonds, commodities, or currencies, allowing traders to compare momentum across markets reliably. Advantage 3: Objective Momentum Classification MACD-V includes a defined 5-range momentum lifecycle with standardized thresholds (e.g., -150 to +150). This offers an objective framework for analyzing market conditions and supports integration with broader models. Advantage 4: False Signal Reduction in Low-Momentum Regimes MACD-V introduces a "neutral zone" (typically -50 to +50) to filter out these low-probability signals. Advantage 5: Improved Signal Timing in High-Momentum Regimes MACD-V identifies extremely strong trends, allowing for more precise entry and exit points. Advantage 6: Trend-Adaptive Scaling Unlike bounded oscillators like RSI or Stochastic, MACD-V dynamically expands with trend strength, providing clearer momentum insights without artificial limits. Advantage 7: Enhanced Divergence Detection MACD-V offers more reliable divergence signals by avoiding distortion at extreme levels, a common flaw in bounded indicators (RSI, etc) ==================================================================== ======================================= ⚒️ 5. HOW TO USE THE MACD-v: 7 CORE PATTERNS HOW TO USE THE MACD-v Histogram: 2 CORE PATTERNS ======================================= >>>>>> BASIC USE (RANGE RULES) <<<<<< The MACD-v has 7 Core Patterns (Ranges) : 1. Risk Range (Overbought)  Condition: MACD-V > Signal Line and MACD-V > +150  Interpretation: Extremely strong bullish momentum—potential exhaustion or reversal zone. 2. Retracing  Condition: MACD-V < Signal Line and MACD-V > -50  Interpretation: Mild pullback within a bullish trend. 3. Rundown  Condition: MACD-V < Signal Line and -50 > MACD-V > -150  Interpretation: Momentum is weakening—bearish pressure building. 4. Risk Range (Oversold)  Condition: MACD-V < Signal Line and MACD-V < -150  Interpretation: Extreme bearish momentum—potential for reversal or capitulation. 5. Rebounding  Condition: MACD-V > Signal Line and MACD-V > -150  Interpretation: Bullish recovery from oversold or weak conditions. 6. Rallying  Condition: MACD-V > Signal Line and MACD-V > +50  Interpretation: Strengthening bullish trend—momentum accelerating. 7. Ranging (Neutral Zone)  Condition: MACD-V remains between -50 and +50 for 20+ bars  Interpretation: Sideways market—low conviction and momentum. The MACD-v Histogram has 2 Core Patterns (Ranges) : 1. Risk (Overbought)  Condition: Histogram > +40  Interpretation: Short-term bullish momentum is stretched—possible overextension or reversal risk. 2. Risk (Oversold)  Condition: Histogram < -40  Interpretation: Short-term bearish momentum is stretched—potential for rebound or reversal. ======================================= ======================================= 📈 6. ADVANCED PATTERNS WITH MACD-v ======================================= Thanks to its volatility normalization, the MACD-V framework enables the development of a wide range of advanced pattern recognition setups, trading signals, and strategic models. These patterns go beyond basic crossovers, offering deeper insight into momentum structure, regime shifts, and high-probability trade setups. These are not part of this script ======================================= =========================================================== ⚙️ 7. FUNCTIONALITY - HOW TO ADD THE INDICATORS TO YOUR CHART =========================================================== The script allows you to see : 1. MACD-v The indicator with the ranges (150,50,0,-50,-150) and colour coded according to its 7 basic patterns 2. MACD-v Histogram The indicator The indicator with the ranges (40,0,-40) and colour coded according to its 2 basic ranges / patterns 3. MACD-v Heatmap You can see the MACD-v in a Multiple Timeframe basis, using a colour-coded Heatmap Note that lowest timeframe in the heatmap must be the one on the chart i.e. if you see the daily chart, then the Heatmap will be Daily, Weekly, Monthly 4. MACD-v Dashboard You can see the MACD-v for 7 markets, in a multiple timeframe basis ======================================= ======================================= 🤝 CONTRIBUTIONS 🤝 ======================================= I would like to thank the following people: 1. Mike Christensen for coding the indicator @TradersPostInc, @Mik3Christ3ns3n, 2. @Indicator-Jones For allowing me to use his Scanner 3. @Daveatt For allowing me to use his heatmap ======================================= ======================================= ⚠️ LEGAL - Usage and Attribution Notice ⚠️ ======================================= Use of this Script is permitted for personal or non-commercial purposes, including implementation by coders and TradingView users. However, any form of paid redistribution, resale, or commercial exploitation is strictly prohibited. Proper attribution to the original author is expected and appreciated, in order to acknowledge the source and maintain the integrity of the original work. Failure to comply with these terms, or to take corrective action within 48 hours of notification, will result in a formal report to TradingView’s moderation team, and will actively pursue account suspension and removal of the infringing script(s). Continued violations may result in further legal action, as deemed necessary. ======================================= ======================================= ⚠️ DISCLAIMER ⚠️ ======================================= This indicator is For Educational Purposes Only (F.E.P.O.). I am just Teaching by Example (T.B.E.) It does not constitute investment advice. There are no guarantees in trading - except one. You will have losses in trading. I can guarantee you that with 100% certainty. The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏 Always perform your own analysis and use proper risk management. 🛡️ =======================================
Chỉ báo Pine Script®
của AlexSpiroglou
8
Bitcoin CME gaps multi-timeframe auto finder1. Overview The Bitcoin CME Gap Multi-Timeframe Detector automatically identifies price gaps in the Bitcoin CME (Chicago Mercantile Exchange) futures market and visually displays them on the TradingView chart. Because the CME futures market closes for about an hour after each weekday session and remains closed over the weekend, price gaps frequently appear when trading resumes on Monday. This indicator analyzes gaps across six major timeframes, from 5-minute to 1-day charts, allowing traders to easily identify structural imbalances and potential support/resistance zones. It is the most accurate and feature-rich CME gaps indicator available on TradingView. 2. Key Features ■ Multi-Timeframe Gap Detection Analyzes 5m, 15m, 30m, 1h, 4h, and 1D charts simultaneously. This enables traders to observe both short-term volatility and mid-to-long-term structure, providing a multi-dimensional view of market dynamics. ■ Gap Direction Classification Up Gap: When the next candle’s open is higher than the previous candle’s high (default color: green tone) Down Gap: When the next candle’s open is lower than the previous candle’s low (default color: red tone) Gaps are color-coded to intuitively visualize potential support and resistance zones. ■ Highlight Function Gaps exceeding a user-defined threshold (%) are highlighted (default color: yellow). This helps quickly identify zones with abnormal volatility or sharp price dislocations. ■ Labels and Box Extension Each gap displays a percentage label indicating its relative size and significance. Gap zones are extended to the right as boxes, allowing traders to visually track when and how the gap gets filled over time. ■ Alert System When a gap forms on the selected timeframe (or across all timeframes), a TradingView alert is triggered. This enables real-time response to significant gap events. 3. Trading Strategies ■ Gap Fill Behavior CME gaps statistically tend to get filled over time. Gap boxes help distinguish between filled and unfilled gaps at a glance. Up Gap: Price tends to decline to fill the previous high–next open zone. Down Gap: Price often rises later to fill the previous low–next open zone. ■ Support & Resistance Levels Gap zones frequently act as strong support or resistance. When price retests a gap area, observing the reaction of buyers and sellers can provide valuable trading insights. Overlapping gap boxes across multiple timeframes indicate high-confidence support/resistance zones. ■ Market Sentiment & Volatility Analysis Large gaps usually result from shifts in market sentiment or major news events. This indicator allows traders to detect volatility spikes early and prepare for potential trend reversals. ■ Combination with Other Technical Tools While fully functional on its own, this indicator works even better when combined with tools like moving averages (MA), RSI, MACD, or Fibonacci retracements. For example, if the bottom of a gap coincides with the 0.618 Fibonacci level, it may signal a strong rebound zone. 4. Settings Options Minimum Gap % | Sets the minimum percentage movement required to detect a gap (lower values show smaller gaps) Display Timeframes | Choose which timeframes to display (5m, 15m, 30m, 1h, 4h, 1D) Box Colors | Assign colors for up and down gaps Box Extension (Bars) | Number of bars to extend gap boxes to the right Show Labels | Toggle display of gap percentage labels Label Position / Size | Adjust label position and size Highlight Gap ≥ % | Highlight gaps exceeding a specified percentage Highlight Colors | Set highlight color for labels and boxes Enable Alerts | Enable or disable alerts Alert Timeframe | Select timeframe(s) for alerts (“All” = all timeframes) 5. Summary This indicator is a professional trading tool that provides quantitative and visual analysis of price gaps in the Bitcoin CME futures market. By combining multi-timeframe detection, highlighting, and alert systems, it helps traders clearly identify zones of market imbalance and potential reversal areas.
Chỉ báo Pine Script®
của BIGTAKER
FVG MagicFVG Magic — Fair Value Gaps with Smart Mitigation, Inversion & Auto-Clean-up FVG Magic finds every tradable Fair Value Gap (FVG), shows who powered it, and then manages each gap intelligently as price interacts with it—so your chart stays actionable and clean. Attribution This tool is inspired by the idea popularized in “Volumatic Fair Value Gaps ” by BigBeluga (licensed CC BY-NC-SA 4.0). Credit to BigBeluga for advancing FVG visualization in the community. Important: This is a from-scratch implementation—no code was copied from the original. I expanded the concept substantially with a different detection stack, a gap state machine (ACTIVE → 50% SQ → MITIGATED → INVERSED), auto-clean up rules, lookback/nearest-per-side pruning, zoom-proof volume meters, and timeframe auto-tuning for 15m/H1/H4. What makes this version more accurate Full-coverage detection (no “missed” gaps) Default ICT-minimal rule (Bullish: low > high , Bearish: high < low ) catches all valid 3-candle FVGs. Optional Strict filter (stricter structure checks) for traders who prefer only “clean” gaps. Optional size percentile filter—off by default so nothing is hidden unless you choose to filter. Correct handling of confirmations (wick vs close) Mitigation Source is user-selectable: high/low (wick-based) or close (strict). This avoids false “misses” when you expect wick confirmations (50% or full fill) but your logic required closes. State-aware labelling to prevent misleading data The Bull%/Bear% meter is shown only while a gap is ACTIVE. As soon as a gap is 50% SQ, MITIGATED, or INVERSED, the meter is hidden and replaced with a clear tag—so you never read stale participation stats. Robust zoom behaviour The meter uses a fixed bar-width (not pixels), so it stays proportional and readable at any zoom level. Deterministic lifecycle (no stale boxes) Remove on 50% SQ (instant or delayed). Inversion window after first entry: if price enters but doesn’t invert within N bars, the box auto-removes once fully filled. Inversion clean up: after a confirmed flip, keep for N bars (context) then delete (or 0 = immediate). Result: charts auto-maintain themselves and never “lie” about relevance. Clarity near current price Nearest-per-side (keep N closest bullish & bearish gaps by distance to the midpoint) focuses attention where it matters without altering detection accuracy. Lookback (bars) ensures reproducible behaviour across accounts with different data history. Timeframe-aware defaults Sensible auto-tuning for 15m / H1 / H4 (right-extension length, meter width, inversion windows, clean up bars) to reduce setup friction and improve consistency. What it does (under the hood) Detects FVGs using ICT-minimal (default) or a stricter rule. Samples volume from a 10× lower timeframe to split participation into Bull % / Bear % (sum = 100%). Manages each gap through a state machine: ACTIVE → 50% SQ (midline) → MITIGATED (full) → INVERSED (SR flip after fill). Auto-clean up keeps only relevant levels, per your rules. Dashboard (top-right) displays counts by side and the active state tags. How to use it First run (show everything) Use Strict FVG Filter: OFF Enable Size Filter (percentile): OFF Mitigation Source: high/low (wick-based) or close (stricter), as you prefer. Remove on 50% SQ: ON, Delay: 0 Read the context While ACTIVE, use the Bull%/Bear% meter to gauge demand/supply behind the impulse that created the gap. Confluence with your HTF structure, sessions, VWAP, OB/FVG, RSI/MACD, etc. Trade interactions 50% SQ: often the highest-quality interaction; if removal is ON, the box clears = “job done.” Full mitigation then rejection through the other side → tag changes to INVERSED (acts like SR). Keep for N bars, then auto-remove. Keep the chart tidy (optional) If too busy, enable Size Filter or set Nearest per side to 2–4. Use Lookback (bars) to make behaviour consistent across symbols and histories. Inputs (key ones) Use Strict FVG Filter: OFF(default)/ON Enable Size Filter (percentile): OFF(default)/ON + threshold Mitigation Source: high/low or close Remove on 50% SQ + Delay Inversion window after entry (bars) Remove inversed after (bars) Lookback (bars), Nearest per side (N) Right Extension Bars, Max FVGs, Meter width (bars) Colours: Bullish, Bearish, Inversed fill Suggested defaults (per TF) 15m: Extension 50, Max 12, Inversion window 8, Clean up 8, Meter width 20 H1: Extension 25, Max 10, Inversion window 6, Clean up 6, Meter width 15 H4: Extension 15, Max 8, Inversion window 5, Clean up 5, Meter width 10 Notes & edge cases If a wick hits 50% or the far edge but state doesn’t change, you’re likely on close mode—switch to high/low for wick-based behaviour. If a gap disappears, it likely met a clean up condition (50% removal, inversion window, inversion clean up, nearest-per-side, lookback, or max-cap). Meters are hidden after ACTIVE to avoid stale percentages.
Chỉ báo Pine Script®
của OakleyJM
2
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.
Chỉ báo Pine Script®
của hfdavid
Custom Two Sessions H/L/50% LevelsTrack high/low/midpoint levels across two customizable time sessions. Perfect for monitoring H4 blocks, session ranges, or any custom time periods as reference levels for lower timeframe trading. What This Indicator Does: Tracks and projects High, Low, and 50% Midpoint levels for two fully customizable time sessions. Unlike fixed-session indicators, you define EXACTLY when each session starts and ends. Key Features: • Two independent sessions with custom start/end times (hour and minute) • High/Low/50% midpoint tracking for each session • Visual session boxes showing calculation periods • Horizontal lines projecting levels into the future • Historical session levels remain visible for reference • Works on any chart timeframe (M1, M5, M15, H1, H4, etc.) • Full visual customization (colors, line styles, widths) • DST timezone support Common Use Cases: H4 Candle Tracking - Set sessions to 4-hour blocks (e.g., 6-10am, 10am-2pm) to track individual H4 highs/lows H1 Candle Tracking - 1-hour blocks for scalping reference levels Session Trading - ETH vs RTH, London vs NY, Asian session, etc. Custom Time Periods - Any time range you want to monitor How to Use: The indicator identifies key price levels from higher timeframe periods. Use previous session H/L/50% as reference levels for: Identifying sweep and reclaim setups Lower timeframe structural flip confirmations Support/resistance zones for entries Delivery targets after breaks of structure Settings: Configure each session's start/end times independently. The indicator automatically triggers at the first bar crossing into your specified time, making it compatible with all chart timeframes.
Chỉ báo Pine Script®
của michaelpharrold
1
Legendx🧠 LegendX Strategy — Adaptive Multi-Asset Smart Trading System 🔍 Overview LegendX is a precision-engineered quantitative strategy designed for crypto and commodities (like Gold and Oil). It automatically adapts to each market’s volatility, trend strength, and mean-reversion behavior using statistical models and volatility-adjusted moving averages. This strategy was built to work seamlessly across different assets and timeframes — from high-frequency crypto scalping to medium-term gold trading — while keeping risk tightly controlled. ⚙️ Core Logic LegendX combines multiple market intelligence layers: Dynamic Moving Averages (EMA, HMA, VWAP, VWMA, etc.) – Defines directional bias based on adaptive smoothing. Volatility Filters (ATR + Standard Deviation) – Detects expansion/contraction phases to time breakouts and reversals. Distance Thresholds (MA Delta %) – Confirms entries only when price moves a specific % away from the equilibrium mean. Multi-Take-Profit Architecture (TP1–TP8) – Smart scaling system that tracks realistic exit zones for each move. Real-Time Telegram Signal Alerts – Sends BUY/SELL, entry, SL, and all 8 take-profit levels instantly to your Telegram channel. In-Chart Statistics Dashboard – Displays rolling performance, win rates, drawdowns, and average R/R ratios dynamically. 🧩 How It Works Long Trades: Trigger when price exceeds the upper adaptive threshold (volatility-weighted MA + ATR + StdDev). Short Trades: Trigger when price drops below the lower adaptive threshold. Each position includes dynamic stop-loss and multiple take-profit targets scaled by the Renormalization Coefficient, optimizing per asset class (Crypto vs Gold vs Oil). The system tracks historical performance to calculate win rates, average profit, and cumulative statistics for the last 25–100 trades. 📊 Performance Dashboard The on-chart probability table includes: ✅ TP hit probability (TP1–TP8) 📈 Average Max Profit / Drawdown ⚖️ Realized Risk-to-Reward (R/R) 🧮 Cumulative trade statistics (25–100 trade lookback) ⚡ Telegram Integration Every time a new signal triggers: Sends a rich message with entry, TP1–TP8, and SL directly to your Telegram channel. All alerts are formatted for instant readability with emojis, markdown, and timestamps. Works with TradingView’s Webhook URL + Bot Token + Chat ID setup. 💡 Recommended Use Asset Timeframe Style Notes XAUUSD (Gold) 15m–1h Swing Ideal volatility balance BTC/ETH/BNB 15m–30m Trend-following Works best during strong directional moves USOIL (WTI) 15m Intraday Great during energy news cycles ⚠️ Risk Management Built-in SL scaling via ATR ensures consistent volatility-adjusted risk. Leverage defaults to 20× but can be customized per asset. Daily loss cap and strategy sizing can be set within TradingView’s strategy properties. 🧭 Key Features Summary Feature Description 📊 Multi-Asset Profiles Auto-optimizes settings for 30+ markets 📈 Adaptive MA Logic Switchable EMA, HMA, VWAP, VWMA, SMA 🧮 ATR & StDev Filters Dynamic volatility detection 🎯 8-Tier Take-Profit Ladder Scales out profit progressively 🧠 Smart Stop-Loss Auto-adjusts to volatility 🕹️ Built-In Stats Dashboard Displays performance instantly 🔔 Telegram Integration Auto-send real-time trade alerts 🚀 Goal Deliver 4–5% monthly returns with smooth equity growth and minimal drawdowns by combining adaptive volatility filters, statistical profiling, and multi-level take-profit logic.
Chiến lược Pine Script®
của glowinr
Fixed High Timeframe Moving AveragesFixed High Timeframe Moving Averages (W/D/4H) Summary This indicator plots essential, high-timeframe (HTF) Moving Averages onto your chart, **no matter which timeframe you are currently viewing**. It is designed for traders who need multi-timeframe context at a glance. Stop switching charts to see where the 200-Week or 50-Day MA is—now you can see all critical HTF levels directly on your 5-minute (or any other) chart. --- Who it’s for Traders who rely on moving averages but like to work on lower chart timeframes while keeping higher timeframe context in sight. If you scalp on 1–15m yet want Weekly/Daily/4H MAs always visible, this is for you. --- What it shows Pinned (“fixed”) moving averages from higher timeframes—Weekly (20/100/200) , Daily (50/100/200/365) and 4H (200) —rendered on any chart timeframe. Your favorite HTF MAs stay on screen no matter what TF you’re currently analyzing. --- Features * **MA types:** SMA, EMA, VWMA, Hull. * **Fully configurable:** toggle each line, set periods, colors, and thickness. * **Two alert modes (see below):** intrabar vs confirmed HTF close. * **Works on any symbol & chart TF** using `request.security` to fetch HTF data. --- Alerts & Modes This indicator solves the biggest problem with MTF alerts: false signals. You can choose one of two modes: 1. **Intrabar mode** — compares current chart price to the HTF MA. Triggers as soon as price crosses the HTF line; great for early signals but may update until the HTF bar closes. 2. **Confirmed mode** — checks HTF close vs HTF MA. Signals only on the higher-TF bar close; fewer false starts, no intrabar repainting on that TF. Per-line *Cross Above / Cross Below* conditions are provided for all enabled MAs (e.g., “20W — Cross Above”, “365D — Cross Below”, etc.). **How to use alerts:** add the script → “Create Alert” → pick any condition from the script’s list. --- Why this helps * Keeps Weekly/Daily structure visible while you execute on LTF. * Classic anchors (e.g., 200D, 20W/100W/200W) are popular for trend bias, dynamic support/resistance, and pullback context. * Lets you standardize MA references across all your lower-TF playbooks. --- Notes on confirmation & repainting * Intrabar signals can change until the higher-TF bar closes (that’s expected with multi-TF data). * Confirmed mode waits for the HTF close—cleaner, but later. Choose what fits your workflow. --- Quick setup 1. Pick `MA Type` (SMA/EMA/VWMA/Hull). 2. Enable the HTF lines you want (Weekly 20/100/200; Daily 50/100/200/365; 4H 200). 3. Choose `Alert Mode` (Intrabar vs Confirmed). 4. Style colors/widths to taste and set alerts on the lines you care about. --- Good practice * Combine HTF MAs with price action (swings, structure, liquidity grabs) rather than using them in isolation. * Always validate signals in your execution TF and use a risk plan tailored to volatility. * Protect your capital: position sizing, stops, and disciplined risk management matter more than any single line on the chart. --- Disclaimer For educational/informational purposes only; not financial advice. Trading involves risk—manage it responsibly.
Chỉ báo Pine Script®
của MAXmks
CEO_IndicatorCEO Indicator Liquidity Levels: PDH / PDL (Previous Day High/Low) PWH / PWL (Previous Week High/Low) PMH / PML (Previous Month High/Low) DO, NYM, WO, TWO, MO (Daily/Weekly/Monthly Opens + True Opens) Asia Midpoint (0.5) — midline between Asian session high and low Customization: colors, opacity, line thickness Trading Sessions: 4H Display: On the 4H timeframe and above, session boxes may appear cluttered or overlapping. You can disable session display for higher timeframes to keep the chart clean. Overlap: When Overlap is turned off, sessions will not be drawn on top of each other — improving visual clarity during overlapping markets (e.g. London + New York). Supports: Asia, Frankfurt, London, New York, Lunch Display modes: Box, Streamlined, Fill, High-Low zones Customized labels Time zone auto-adjust & custom time zones Fractals & FVG: Automatic fractal high/low detection Displays Fair Value Gaps (FVG) — bullish & bearish
Chỉ báo Pine Script®
của Denzzo_CEO
No-Trade Zones UTC+7This indicator helps you visualize and backtest your preferred trading hours. For example, if you have a 9-to-5 job, you obviously can’t trade during that time — and when backtesting, you should avoid those hours too. It also marks weekends if you prefer not to trade on those days. By highlighting no-trade periods directly on the chart, you can easily see when you shouldn’t be taking trades, without constantly checking the time or date by hovering over the chart. It makes backtesting smoother and more realistic for your personal schedule.
Chỉ báo Pine Script®
của AightBett
Change% by Amit Multi-Period Returns Table This indicator displays percentage returns across multiple timeframes — 1 Week, 1 Month, 3 Months, 6 Months, 12 Months. This helps traders quickly assess short-term and long-term performance trends. Positive returns are highlighted in blue, while negative returns are shown in red, allowing instant visual recognition of strength or weakness. Ideal for spotting momentum shifts, relative performance, and trend consistency across different horizons.
Chỉ báo Pine Script®
của AmitGoel217
Cumulative Delta Volume MTFCumulative Delta Volume MTF (CDV_MTF) Within volume analytics, “delta (buy − sell)” often acts as a leading indicator for price. This indicator is a cumulative delta tailored for day trading. It differs from conventional cumulative delta in two key ways: Daily Reset If heavy buying hits into the prior day’s close, a standard cumulative delta “carries” that momentum into the next day’s open. You can then misread direction—selling may actually be dominant, but yesterday’s residue still pushes the delta positive. With Daily Reset, accumulation uses only the current day’s delta, giving you a more reliable, open-to-close read for intraday decision-making. Timeframe Selection (MTF) You might chart 30s/15s candles to capture micro structure, while wanting the cumulative delta on 5-minute to judge the broader flow. With Timeframe (MTF), you can view a lower-timeframe chart and a higher-timeframe delta in one pane. Overview MTF aggregation: choose the delta’s computation timeframe via Timeframe (empty = chart) (empty = chart timeframe). Daily Reset: toggle on/off to accumulate strictly within the current session/day. Display: Candle or Line (Candle supports Heikin Ashi), with Bull/Bear background shading. Overlays: up to two SMA and two EMA lines. Panel: plotted in a sub-window (overlay=false). Example Use Cases At the open: turn Daily Reset = ON to see the pure, same-day buy/sell build-up. Entry on lower TF, bias from higher TF: chart at 30s, set Timeframe = 5 to reduce noise and false signals. Quick read of momentum: Candle + HA + background shading for intuitive direction; confirm with SMA/EMA slope or crosses. Key Parameters Timeframe (empty = chart): timeframe used to compute cumulative delta. Enable Daily Reset: resets accumulation when the trading day changes. Style: Candle / Line; Heikin Ashi toggle for Candle mode. SMA/EMA 1 & 2: individual length and color settings. Background: customize Bull and Bear background colors. How to Read Distance from zero: positive build = buy-side dominance; negative = sell-side dominance. Slope × MAs: use CDV slope and MA direction/crossovers for momentum and potential turns. Reset vs. non-reset: ON → isolates intraday net flow. OFF → tracks multi-day accumulation/dispersion. Notes & Caveats The delta here is a heuristic derived from candle body/wick proportions—it is not true bid/ask tape. MTF updates are based on the selected timeframe’s bar closes; values can fluctuate intrabar. Date logic follows the symbol’s exchange timezone. Renders in a separate pane. Suggested Defaults Timeframe = 5 (or 15) / Daily Reset = ON Style = Candle + Heikin Ashi = ON EMA(50/200) to frame trend context For the first decisions after the open—and for scalps/day trades throughout the session—MTF × Daily Reset helps you lock onto the flow that actually matters, right now. ========================== Cumulative Delta Volume MTF（CDV_MTF） 出来高の中でも“デルタ（買い−売り）”は株価の先行指標になりやすい。 本インジケーターはデイトレードに特化した累積デルタです。 通常の累積デルタと異なるポイントは2つ。 デイリーリセット機能 前日の大引けで大きな買いが入ると、通常の累積デルタはその勢いを翌日の寄りにも“持ち越し”ます。実際は売り圧が強いのに、前日の残渣に引っ張られて方向を誤ることがある。デイリーリセットを使えば当日分だけで累積するため、寄り直後からの判断基準として信頼度が上がります。 タイムフレーム指定（MTF）機能 たとえばチャートは30秒足/15秒足で細部の動きを追い、累積デルタは5分足で“大きな流れ”を確認したい──そんなニーズに対応。**一画面で“下位足の値動き × 上位足のフロー”**を同時に把握できます。 概要 MTF対応：Timeframe で集計足を指定（空欄＝チャート足） デイリーリセット：当日分のみで累積（オン/オフ切替） 表示：Candle/Line（CandleはHA切替可）、背景をBull/Bearで自動塗り分け 補助線：SMA/EMA（各2本）を重ね描き 表示先：サブウィンドウ（overlay=false） 使い方の例 寄りのフロー判定：デイリーリセット＝オンで、寄り直後の純粋な買い/売りの積み上がりを確認 下位足のエントリー × 上位足のバイアス：チャート＝30秒、Timeframe=5分で騙しを減らす 勢いの視認：Candle＋HA＋背景色で直感的に上げ下げを把握、SMA/EMAの傾きで補強 主なパラメータ Timeframe (empty = chart)：累積に使う時間足 デイリーリセットを有効にする：日付切替で累積をリセット Style：Candle / Line、Heikin Ashi切替 SMA/EMA 1・2：期間・色を個別設定 背景色：Bull背景 / Bear背景 を任意のトーンに 読み取りのコツ ゼロからの乖離：＋側へ積み上がるほど買い優位、−側は売り優位 傾き×MA：CDVの傾きと移動平均の方向/クロスで転換やモメンタムを推測 日内/日跨ぎの切替：デイリーリセット＝オンで日内の純流入出、オフで期間全体の偏り 仕様・注意 本デルタはローソクのボディ/ヒゲ比率から近似したヒューリスティックで、実際のBid/Ask集計とは異なります。 MTFは指定足の確定ベースで更新されます。 日付判定はシンボルの取引所タイムゾーン準拠。 推奨初期セット Timeframe=5（または15）／デイリーリセット=有効 Style=Candle＋HA=有効 EMA(50/200)で流れの比較 寄りの一手、そしてスキャル/デイの判断材料に。MTF×デイリーリセットで、“効いているフロー”を最短距離で捉えます。
Chỉ báo Pine Script®
của OCTPLUS1
MTF 20 SMA Table - DXY**MTF 20 SMA Table - Multi-Timeframe Trend Analysis Dashboard** **Overview:** This indicator provides a comprehensive multi-timeframe analysis dashboard that displays the relationship between price and the 20-period Simple Moving Average (SMA) across four key timeframes: 15-minute, 1-hour, 4-hour, and Daily. It's designed to help traders quickly identify trend alignment and potential trading opportunities across multiple timeframes at a glance. It's definitely not perfect but has helped me speed up my backtesting efforts as it's worked well for me eliminating flipping back and forth between timeframes excpet when I have confluence on the table, then I check the HTF. **How It Works:** The indicator creates a table overlay on your chart showing three critical metrics for each timeframe: 1. **Price vs SMA (Row 1):** Shows whether price is currently above (bullish) or below (bearish) the 20 SMA - Green = Price Above SMA - Red = Price Below SMA 2. **SMA Direction (Row 2):** Indicates the trend direction of the SMA itself over a lookback period - Green (↗ Rising) = Uptrend - Red (↘ Falling) = Downtrend - Gray (→ Flat) = Ranging/Consolidation 3. **Strength (Row 3):** Displays the distance between current price and the SMA in pips - Purple background = Strong move (>50 pips away) - Orange background = Moderate move (20-50 pips) - Gray background = Weak/consolidating (<20 pips) - Text color: Green for positive distance, Red for negative **Key Features:** - **Customizable Table Position:** Place the table anywhere on your chart (9 position options) - **Adjustable SMA Lengths:** Modify the SMA period for each timeframe independently (default: 20) - **Direction Lookback Settings:** Fine-tune how far back the indicator looks to determine SMA direction for each timeframe - **Flat Threshold:** Set the pip threshold for determining when an SMA is "flat" vs trending (default: 5 pips) - **DXY Optimized:** Calculations are calibrated for the US Dollar Index (1 pip = 0.01) **Best Use Cases:** 1. **Trend Alignment:** Identify when multiple timeframes align in the same direction for higher probability trades 2. **Divergence Spotting:** Detect when lower timeframes diverge from higher timeframes (potential reversals) 3. **Entry Timing:** Use lower timeframe signals while higher timeframes confirm overall trend 4. **Strength Assessment:** Gauge how extended price is from the mean (SMA) to avoid overextended entries **Settings Guide:** - **SMA Settings Group:** Adjust the SMA period for each timeframe (15M, 1H, 4H, Daily) - **SMA Direction Group:** Control lookback periods to determine trend direction - 15M: Default 5 candles - 1H: Default 10 candles - 4H: Default 15 candles - Daily: Default 20 candles - **Flat Threshold:** Set sensitivity for "flat" detection (lower = more sensitive to ranging markets) **Trading Strategy Examples:** 1. **Trend Following:** Look for all timeframes showing the same direction (all green or all red) 2. **Pullback Trading:** When Daily/4H are green but 15M/1H show red, wait for lower timeframes to flip green for entry 3. **Ranging Markets:** When multiple SMAs show "flat", consider range-bound strategies **Important Notes:** - This is a reference tool only, not a standalone trading system - Always use proper risk management and combine with other analysis methods - Best suited for trending instruments like indices and major forex pairs - Calculations are optimized for DXY but can be used on other instruments (pip calculations may need adjustment) **Credits:** Feel free to modify and improve this code! Suggestions for enhancements are welcome in the comments. --- **Installation Instructions:** 1. Add the indicator to your TradingView chart 2. Adjust the table position via settings to avoid overlap with price action 3. Customize SMA lengths and lookback periods to match your trading style 4. Monitor the table for timeframe alignment and trend confirmation --- This indicator is published as open source for the community to learn from and improve upon. Happy trading! 📈
Chỉ báo Pine Script®
của stuartm69
Previous D/W/M HLOCHey traders, Here's a simple Multi-Timeframe indicator that essentially turns time and price into a box. It'll take the previous high, low, opening price, or closing price from one of the three timeframes of your choice (day, week, or month). For whatever reason I can't get the opening price to function consistently so if you find improvements feel free to let me know, this will help traders who prefer to use opening price over closing price. Naturally this form of charting is classical and nature and some key figures you could use to study its usage are - Richard W. Schabacker (1930s) - Edwards & Magee (1948) - Peter Brandt - Stacey Burke (more on the intraday side - typically our preference) It's usage put plainly: - Quantifying Accumulation or Distribution - Revealing Energy Build-Up (Compression) - Framing Breakouts and False Breakouts - Structuring Time - Identifying opportunities to trade a daily, weekly, or monthly range.
Chỉ báo Pine Script®
của lfjaden
1
Multi-Session Viewer and AnalyzerFully customizable multi-session viewer that takes session analysis to the next level. It allows you to fully customize each session to your liking. Includes a feature that highlights certain periods of time on the chart and a Time Range Marker. It helps you analyze the instrument that you trade and pinpoint which times are more volatile than others. It also helps you choose the best time to trade your instrument and align your life schedule with the market. NZDUSD Example: - 3 major sessions displayed. - Although this is NZDUSD, Sydney is not the best time to trade this pair. Volatility picks up at Tokyo open. - I have time to trade in the evening from 18:00 to 22:00 PST. I live in a different time zone, whereas market is based on EST. How does the pair behave during the time I am available to trade based on my time zone? Time Range Marker feature allows you to see this clearly on the chart (black lines). - I have some time in the morning to trade during New York session, but there is no way I am waking up at 05:00 PST. 06:30 PST seems doable. Blue highlighted area is good time to trade during New York session based on what Bob said. It seem like this aligns with when I am available and when I am able to trade. Volatility is also at its peak. - I am also available to trade between London close and Tokyo open on some days of the week, but... based on what I see, green highlighted area is clearly showing that I probably don't want to waste my time trading this pair from London close and until Tokyo open. I will use this time for something else rather than be stuck in a range.
Chỉ báo Pine Script®
của qentis