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EMA 1/8 Cross - Fixed Pip TP/SLEMA 1/8 Cross – Fixed Pip TP/SL This strategy is based on the crossover between EMA 8 and EMA 14 as trading signals: Long entry → when EMA 1 crosses above EMA 8 Short entry → when EMA 1 crosses below EMA 8 Features: Fixed pip Take Profit (TP) and Stop Loss (SL), fully adjustable in the settings. Customizable EMA Fast/Slow lengths for optimization. Pip size input to match different broker definitions (e.g., XAUUSD often uses 0.10 as one pip). Suitable for testing scalping or swing trading across multiple timeframes. ⚠️ Disclaimer: This script is intended for backtesting and educational purposes only. Please optimize parameters and apply proper risk management before using it on live accounts.
Pine Script™ 전략
milikgroupy_tv의
1
Weekly pecentage tracker by PRIVATE Settings Picture below this link: 👇 i.ibb.co What it is A lightweight “Weekly % Tracker” overlay that lets you manually enter weekly performance (in percent) for XAUUSD + up to 10 FX pairs, then shows: a small table panel with each enabled symbol and its % result one TOTAL row (Sum / Average / Compounded across all enabled symbols) an optional mini badge showing the % for a single selected symbol Nothing is auto-calculated from price—you type the % yourself. Key settings Panel: show/hide, position, number of decimals, colors (background, text, green/red). Total mode: Sum – adds percentages Average – mean of enabled rows Compounded – ( ∏ ( 1 + 𝑝 / 100 ) − 1 ) × 100 (∏(1+p/100)−1)×100 Symbols: XAUUSD (toggle + label + % input) 10 FX pairs (each has On/Off, label text, % input). You can rename labels to any symbol text you want. Mini badge: show/hide, position, and symbol to display. How it works Overlay indicator: overlay=true; just draws UI on the chart (no plots). Arrays (syms, vals, ons) collect the row data in order: XAU first, then FX1…FX10. Helpers: posFrom() converts a position string (e.g., “Top Right”) into a position.* constant. wp_col() picks green/red/neutral based on the sign of the %. wp_round() rounds values to the selected decimals. calc_total() computes the TOTAL with the chosen mode over enabled rows only. Table creation logic: Counts how many rows are enabled. If none enabled or panel is off: the panel table is deleted, so no box/background is visible. If enabled and on: the panel is (re)created at the chosen position. On each last bar (barstate.islast), it clears the table to transparent (bgcolor=na) and then fills one row per enabled symbol, followed by a single TOTAL row. Mini badge: Always (re)created on position change. Shows selected symbol’s % (or “-” if that symbol isn’t enabled or has no value). Colors text green/red by sign. Notes & limits It’s manual input—the script doesn’t read trades or P/L from price. You can rename each row’s label to match any symbol name you want. When no rows are enabled, the panel disappears entirely (no empty background). Designed to be light: only draws tables; no heavy plotting. If you want the TOTAL row to be optional, or different color thresholds, or CSV-style export/import of the values, say the word and I’ll add it.
Pine Script® 인디케이터
PRIVATE-PRIVATE의
Rolling Correlation BTC vs Hedge AssetsRolling Correlation BTC vs Hedge Assets Overview This indicator calculates and plots the rolling correlation between Bitcoin (BTC) returns and several key hedge assets: • XAUUSD (Gold) • EURUSD (proxy for DXY, U.S. Dollar Index) • VIX (Volatility Index) • TLT (20y U.S. Treasury Bonds ETF) By monitoring these dynamic correlations, traders can identify whether BTC is moving in sync with risk assets or decoupling as a hedge, and adjust their trading strategy accordingly. How it works 1. Computes returns for BTC and each asset using percentage change. 2. Uses the rolling correlation function (ta.correlation) over a configurable window length (default = 12 bars). 3. Plots each correlation as a separate colored line (Gold = Yellow, EURUSD = Blue, VIX = Red, TLT = Green). 4. Adds threshold levels at +0.3 and -0.3 to help classify correlation regimes. How to use it • High positive correlation (> +0.3): BTC is moving together with the asset (risk-on behavior). • Near zero (-0.3 to +0.3): BTC is showing little to no correlation — neutral/independent moves. • Negative correlation (< -0.3): BTC is moving in the opposite direction — potential hedge opportunity. Practical strategies: • Watch BTC vs VIX: a spike in volatility (VIX ↑) usually coincides with BTC selling pressure. • Track BTC vs EURUSD: stronger USD often puts downside pressure on BTC. • Observe BTC vs Gold: during “flight to safety” events, gold rises while BTC weakens. • Monitor BTC vs TLT: rising yields (falling TLT) often align with BTC weakness. Inputs • Window Length (bars): Number of bars used to calculate rolling correlations (default = 12). • Comparison Timeframe: Default = 5m. Can be changed to align with your intraday or swing trading style. Notes • Works best on intraday charts (1m, 5m, 15m) for scalping and short-term setups. • Use correlations as context, not standalone signals — combine with volume, VWAP, and price action. • Correlations are dynamic; they can switch regimes quickly during macro events (CPI, NFP, FOMC). This tool is designed for traders who want to manage risk exposure by monitoring whether BTC is behaving as a risk-on asset or hedge, and to exploit opportunities during decoupling phases.
Pine Script® 인디케이터
leobuezo의
Machine Learning BBPct [BackQuant]Machine Learning BBPct What this is (in one line) A Bollinger Band %B oscillator enhanced with a simplified K-Nearest Neighbors (KNN) pattern matcher. The model compares today’s context (volatility, momentum, volume, and position inside the bands) to similar situations in recent history and blends that historical consensus back into the raw %B to reduce noise and improve context awareness. It is informational and diagnostic—designed to describe market state, not to sell a trading system. Background: %B in plain terms Bollinger %B measures where price sits inside its dynamic envelope: 0 at the lower band, 1 at the upper band, ~ 0.5 near the basis (the moving average). Readings toward 1 indicate pressure near the envelope’s upper edge (often strength or stretch), while readings toward 0 indicate pressure near the lower edge (often weakness or stretch). Because bands adapt to volatility, %B is naturally comparable across regimes. Why add (simplified) KNN? Classic %B is reactive and can be whippy in fast regimes. The simplified KNN layer builds a “nearest-neighbor memory” of recent market states and asks: “When the market looked like this before, where did %B tend to be next bar?” It then blends that estimate with the current %B. Key ideas: • Feature vector . Each bar is summarized by up to five normalized features:   – %B itself (normalized)   – Band width (volatility proxy)   – Price momentum (ROC)   – Volume momentum (ROC of volume)   – Price position within the bands • Distance metric . Euclidean distance ranks the most similar recent bars. • Prediction . Average the neighbors’ prior %B (lagged to avoid lookahead), inverse-weighted by distance. • Blend . Linearly combine raw %B and KNN-predicted %B with a configurable weight; optional filtering then adapts to confidence. This remains “simplified” KNN: no training/validation split, no KD-trees, no scaling beyond windowed min-max, and no probabilistic calibration. How the script is organized (by input groups) 1) BBPct Settings • Price Source – Which price to evaluate (%B is computed from this). • Calculation Period – Lookback for SMA basis and standard deviation. • Multiplier – Standard deviation width (e.g., 2.0). • Apply Smoothing / Type / Length – Optional smoothing of the %B stream before ML (EMA, RMA, DEMA, TEMA, LINREG, HMA, etc.). Turning this off gives you the raw %B. 2) Thresholds • Overbought/Oversold – Default 0.8 / 0.2 (inside ). • Extreme OB/OS – Stricter zones (e.g., 0.95 / 0.05) to flag stretch conditions. 3) KNN Machine Learning • Enable KNN – Switch between pure %B and hybrid. • K (neighbors) – How many historical analogs to blend (default 8). • Historical Period – Size of the search window for neighbors. • ML Weight – Blend between raw %B and KNN estimate. • Number of Features – Use 2–5 features; higher counts add context but raise the risk of overfitting in short windows. 4) Filtering • Method – None, Adaptive, Kalman-style (first-order), or Hull smoothing. • Strength – How aggressively to smooth. “Adaptive” uses model confidence to modulate its alpha: higher confidence → stronger reliance on the ML estimate. 5) Performance Tracking • Win-rate Period – Simple running score of past signal outcomes based on target/stop/time-out logic (informational, not a robust backtest). • Early Entry Lookback – Horizon for forecasting a potential threshold cross. • Profit Target / Stop Loss – Used only by the internal win-rate heuristic. 6) Self-Optimization • Enable Self-Optimization – Lightweight, rolling comparison of a few canned settings (K = 8/14/21 via simple rules on %B extremes). • Optimization Window & Stability Threshold – Governs how quickly preferred K changes and how sensitive the overfitting alarm is. • Adaptive Thresholds – Adjust the OB/OS lines with volatility regime (ATR ratio), widening in calm markets and tightening in turbulent ones (bounded 0.7–0.9 and 0.1–0.3). 7) UI Settings • Show Table / Zones / ML Prediction / Early Signals – Toggle informational overlays. • Signal Line Width, Candle Painting, Colors – Visual preferences. Step-by-step logic A) Compute %B Basis = SMA(source, len); dev = stdev(source, len) × multiplier; Upper/Lower = Basis ± dev. %B = (price − Lower) / (Upper − Lower). Optional smoothing yields standardBB . B) Build the feature vector All features are min-max normalized over the KNN window so distances are in comparable units. Features include normalized %B, normalized band width, normalized price ROC, normalized volume ROC, and normalized position within bands. You can limit to the first N features (2–5). C) Find nearest neighbors For each bar inside the lookback window, compute the Euclidean distance between current features and that bar’s features. Sort by distance, keep the top K . D) Predict and blend Use inverse-distance weights (with a strong cap for near-zero distances) to average neighbors’ prior %B (lagged by one bar). This becomes the KNN estimate. Blend it with raw %B via the ML weight. A variance of neighbor %B around the prediction becomes an uncertainty proxy ; combined with a stability score (how long parameters remain unchanged), it forms mlConfidence ∈ . The Adaptive filter optionally transforms that confidence into a smoothing coefficient. E) Adaptive thresholds Volatility regime (ATR(14) divided by its 50-bar SMA) nudges OB/OS thresholds wider or narrower within fixed bounds. The aim: comparable extremeness across regimes. F) Early entry heuristic A tiny two-step slope/acceleration probe extrapolates finalBB forward a few bars. If it is on track to cross OB/OS soon (and slope/acceleration agree), it flags an EARLY_BUY/SELL candidate with an internal confidence score. This is explicitly a heuristic—use as an attention cue, not a signal by itself. G) Informational win-rate The script keeps a rolling array of trade outcomes derived from signal transitions + rudimentary exits (target/stop/time). The percentage shown is a rough diagnostic , not a validated backtest. Outputs and visual language • ML Bollinger %B (finalBB) – The main line after KNN blending and optional filtering. • Gradient fill – Greenish tones above 0.5, reddish below, with intensity following distance from the midline. • Adaptive zones – Overbought/oversold and extreme bands; shaded backgrounds appear at extremes. • ML Prediction (dots) – The KNN estimate plotted as faint circles; becomes bright white when confidence > 0.7. • Early arrows – Optional small triangles for approaching OB/OS. • Candle painting – Light green above the midline, light red below (optional). • Info panel – Current value, signal classification, ML confidence, optimized K, stability, volatility regime, adaptive thresholds, overfitting flag, early-entry status, and total signals processed. Signal classification (informational) The indicator does not fire trade commands; it labels state: • STRONG_BUY / STRONG_SELL – finalBB beyond extreme OS/OB thresholds. • BUY / SELL – finalBB beyond adaptive OS/OB. • EARLY_BUY / EARLY_SELL – forecast suggests a near-term cross with decent internal confidence. • NEUTRAL – between adaptive bands. Alerts (what you can automate) • Entering adaptive OB/OS and extreme OB/OS. • Midline cross (0.5). • Overfitting detected (frequent parameter flipping). • Early signals when early confidence > 0.7. These are purely descriptive triggers around the indicator’s state. Practical interpretation • Mean-reversion context – In range markets, adaptive OS/OB with ML smoothing can reduce whipsaws relative to raw %B. • Trend context – In persistent trends, the KNN blend can keep finalBB nearer the mid/upper region during healthy pullbacks if history supports similar contexts. • Regime awareness – Watch the volatility regime and adaptive thresholds. If thresholds compress (high vol), “OB/OS” comes sooner; if thresholds widen (calm), it takes more stretch to flag. • Confidence as a weight – High mlConfidence implies neighbors agree; you may rely more on the ML curve. Low confidence argues for de-emphasizing ML and leaning on raw %B or other tools. • Stability score – Rising stability indicates consistent parameter selection and fewer flips; dropping stability hints at a shifting backdrop. Methodological notes • Normalization uses rolling min-max over the KNN window. This is simple and scale-agnostic but sensitive to outliers; the distance metric will reflect that. • Distance is unweighted Euclidean. If you raise featureCount, you increase dimensionality; consider keeping K larger and lookback ample to avoid sparse-neighbor artifacts. • Lag handling intentionally uses neighbors’ previous %B for prediction to avoid lookahead bias. • Self-optimization is deliberately modest: it only compares a few canned K/threshold choices using simple “did an extreme anticipate movement?” scoring, then enforces a stability regime and an overfitting guard. It is not a grid search or GA. • Kalman option is a first-order recursive filter (fixed gain), not a full state-space estimator. • Hull option derives a dynamic length from 1/strength; it is a convenience smoothing alternative. Limitations and cautions • Non-stationarity – Nearest neighbors from the recent window may not represent the future under structural breaks (policy shifts, liquidity shocks). • Curse of dimensionality – Adding features without sufficient lookback can make genuine neighbors rare. • Overfitting risk – The script includes a crude overfitting detector (frequent parameter flips) and will fall back to defaults when triggered, but this is only a guardrail. • Win-rate display – The internal score is illustrative; it does not constitute a tradable backtest. • Latency vs. smoothness – Smoothing and ML blending reduce noise but add lag; tune to your timeframe and objectives. Tuning guide • Short-term scalping – Lower len (10–14), slightly lower multiplier (1.8–2.0), small K (5–8), featureCount 3–4, Adaptive filter ON, moderate strength. • Swing trading – len (20–30), multiplier ~2.0, K (8–14), featureCount 4–5, Adaptive thresholds ON, filter modest. • Strong trends – Consider higher adaptive_upper/lower bounds (or let volatility regime do it), keep ML weight moderate so raw %B still reflects surges. • Chop – Higher ML weight and stronger Adaptive filtering; accept lag in exchange for fewer false extremes. How to use it responsibly Treat this as a state descriptor and context filter. Pair it with your execution signals (structure breaks, volume footprints, higher-timeframe bias) and risk management. If mlConfidence is low or stability is falling, lean less on the ML line and more on raw %B or external confirmation. Summary Machine Learning BBPct augments a familiar oscillator with a transparent, simplified KNN memory of recent conditions. By blending neighbors’ behavior into %B and adapting thresholds to volatility regime—while exposing confidence, stability, and a plain early-entry heuristic—it provides an informational, probability-minded view of stretch and reversion that you can interpret alongside your own process.
Pine Script® 인디케이터
BackQuant의
2
SMC - Complete AnalysisMC COMPLETE TRADING SYSTEM 📊 OVERVIEW Professional Smart Money Concepts indicator with automated BUY/SELL signals, Entry/SL/TP prices, and 4-level market analysis for disciplined trading. 🎯 MAIN FEATURES 🟢 BUY/🔴 SELL Signals - Clear entry signals with exact prices 📍 ENTRY/SL/TP - Automated price calculations 🎪 Discipline Mode - High-probability setups only ⚡ Confluence Scoring - 6-factor signal validation 🏗️ 4 ANALYSIS LEVELS Level 1: Market Structure BOS/CHoCH/MSS detection Displacement & Range analysis Internal structure mapping Level 2: Time-Based Kill Zones (Asian/London/NY) Session tracking Daily/Weekly levels Level 3: Entry & Risk Smart entry triggers Auto risk calculator Target projections Level 4: Advanced Analytics Auto Fibonacci levels Trend line detection Smart money flow analysis Strength meter ⚙️ SETTINGS Default (Relaxed for more signals): Minimum Confluence: 3/6 Kill Zone Required: OFF Strength Bias Required: OFF Risk per Trade: 2% Risk:Reward: 3:1 📈 RECOMMENDED PAIRS EURUSD (Beginners) GBPUSD (Experienced) XAUUSD (Best SMC signals) EURJPY (Good structure) ⏰ BEST TIMEFRAMES H1 - Recommended balance H4 - High quality signals M30 - More frequent signals 🎯 TRADING RULES Trade ONLY on BUY/SELL signals Use exact ENTRY/SL/TP prices Set orders immediately Wait for SL HIT or TP HIT No modifications allowed 🔒 DISCIPLINE MODE Shows signals only when confluence ≥3/6 All other features hidden by default Simple status table Forces disciplined trading 💡 USAGE Wait for BUY or SELL signal Note ENTRY/SL/TP prices Execute trade exactly as shown Hold until exit signal Repeat ⚠️ IMPORTANT No signal = No trading 2% risk maximum per trade London/NY sessions preferred Patience is key to success 🚀 Professional SMC system for consistent profitability through disciplined trading!
Pine Script® 인디케이터
chadayu77의
1
Two Dot Closed 5ma VarianceThe concept behind this indicator is I have worked with a 5 simple moving average for a very long time. More significantly I changed the mode of the ma from a line to a DOT format. While price action moves upward the 5 MA stretches its values between bars, doing the same as it moves down. This becomes so much more obvious in DOT format. It is the turning points of direction where the variance between the DOTS of the 5 MA closes. Flattening the DOTS! I created this indicator for XAUUSD 30 minute chart. Do with as you see fit. The indicator has a function that you can assign a MAX and MIN variance of the 5 MA right down to 0.10 cents. If closing value of 5 MA is within your set amount an ALERT is given. The actual variance is given in the leading flag and is of the prior 2 closed values.
Pine Script® 인디케이터
TraderAl1963의
Multi-Pip Grid This indicator draws multiple sets of horizontal grid lines on your chart at user-defined pip intervals. It’s designed for traders who want to quickly visualize key price levels spaced evenly apart in pips, with full control over pip size, grid spacing, and appearance. Features: Adjustable pip size — works for Forex, gold, crypto, and indices (e.g., 0.0001 for EURUSD, 0.10 for XAUUSD, 1 for NAS100). Six grid spacings — 1000 pips, 500 pips, 250 pips, 125 pips, 62.5 pips, and 31.25 pips. Each grid can be toggled on or off. Customizable base price — center the grid at the current market price or any manually entered price. Optional snap-to-grid — automatically aligns the base price to the nearest multiple of the smallest step for perfect alignment. Flexible range — choose how many grid lines are drawn above and below the base price. Distinct colors per grid level for easy identification. Automatic cleanup — removes old lines before redrawing to avoid clutter. Use cases: Identify large and small pip-based support/resistance zones. Plan entries/exits using fixed pip distances. Visualize scaled take-profit and stop-loss zones. Overlay multiple timeframes with consistent pip spacing.
Pine Script® 인디케이터
jettduffey6의
Multi-Pip Grid (Adjustable) — FixedThis indicator draws multiple sets of horizontal grid lines on your chart at user-defined pip intervals. It’s designed for traders who want to quickly visualize key price levels spaced evenly apart in pips, with full control over pip size, grid spacing, and appearance. Features: Adjustable pip size — works for Forex, gold, crypto, and indices (e.g., 0.0001 for EURUSD, 0.10 for XAUUSD, 1 for NAS100). Six grid spacings — 1000 pips, 500 pips, 250 pips, 125 pips, 62.5 pips, and 31.25 pips. Each grid can be toggled on or off. Customizable base price — center the grid at the current market price or any manually entered price. Optional snap-to-grid — automatically aligns the base price to the nearest multiple of the smallest step for perfect alignment. Flexible range — choose how many grid lines are drawn above and below the base price. Distinct colors per grid level for easy identification. Automatic cleanup — removes old lines before redrawing to avoid clutter. Use cases: Identify large and small pip-based support/resistance zones. Plan entries/exits using fixed pip distances. Visualize scaled take-profit and stop-loss zones. Overlay multiple timeframes with consistent pip spacing.
Pine Script® 인디케이터
jettduffey6의
GOLD_30MIN_ALLINONEA comprehensive 30 minute trading tool for XAUUSD trading. Use in combination of the indicator: 1 minute Easy Scalping Sys v3.0 (by BulltradingAM). Rules: 1. A solid break out (measure breakout strength from the other indicator mentioned above) from the London session high or low (Orange Boxes), during the first 3 30Min candles of NYC session (Blue Boxes). 2. open position in the direction of the break out, set SL on London session high/low and TP on 1:1 RR or Bollinger Band outer line (for trending trades) and Bollinger Band Base line (for pullbacks and trend reversal trades). 3. No long trades in Bollinger red section and no short trades in Bollinger green section. More Information: You need the indicator only for the breakout candle momentum strength with the following indicator settings: Timeframe 1: 1 Day Timeframe 2: 30 Minutes Timeframe 3: 30 Minutes Timeframe 4: 30 Minutes and set the week candles fill to blank for easy identification. You will not need ATRs or Hulls lines or anything else from the other indicator.
Pine Script® 인디케이터
syedsaifalicpa의
ATR+CCI Monetary Risk Tool - TP/SL⚙️ ATR+CCI Monetary Risk Tool — Volatility-aware TP/SL & Position Sizing Exact prices (no rounding), ATR-percentile dynamic stops, and risk-budget sizing for consistent execution. 🧠 What this indicator is A risk-first planning tool. It doesn’t generate orders; it gives you clean, objective levels (Entry, SL, TP) and position size derived from your risk budget. It shows only the latest setup to keep charts readable, and a compact on-chart table summarizing the numbers you actually act on. ✨ What makes it different Dynamic SL by regime (ATR percentile): Instead of a fixed multiple, the SL multiplier adapts to the current volatility percentile (low / medium / high). That helps avoid tight stops in noisy markets and over-wide stops in quiet markets. Risk budgeting, not guesswork: Size is computed from Account Balance × Max Risk % divided by SL distance × point value. You risk the same dollars across assets/timeframes. Precision that matches your instrument: Entry, TP, SL, and SL Distance are displayed as exact prices (no rounding), truncated to syminfo.mintick so they align with broker/exchange precision. Symbol-aware point value: Uses syminfo.pointvalue so you don’t maintain tick tables. Non-repaint option: Work from closed bars to keep the plan stable. 🔧 How to use (quick start) Add to chart and pick your timeframe and symbol. In settings: Set Account Balance (USD) and Max Risk per Trade (%). Choose R:R (1:1 … 1:5). Pick ATR Period and CCI Period (defaults are sensible). Keep Dynamic ATR ON to adapt SL by regime. Keep Use closed-bar values ON to avoid repaint when planning. Read the labels (Entry/TP/SL) and the table (SL Distance, Position Size, Max USD Risk, ATR Percentile, effective SL Mult). Combine with your entry trigger (price action, levels, momentum, etc.). This indicator handles risk & targets. 📐 How levels are computed Bias: CCI ≥ 0 ⇒ long, otherwise short. ATR Percentile: Percent rank of ATR(atrPeriod) over a lookback window. Effective SL Mult: If percentile < Low threshold ⇒ use Low SL Mult (tighter). If between thresholds ⇒ use Base SL Mult. If percentile > High threshold ⇒ use High SL Mult (wider). Stop-Loss: SL = Entry ± ATR × SL_Mult (minus for long, plus for short). Take-Profit: TP = Entry ± (Entry − SL) × R (R from the R:R dropdown). Position Size: USD Risk = Balance × Risk% Contracts = USD Risk ÷ (|Entry − SL| × PointValue) For futures, quantity is floored to whole contracts. Exact prices: Entry/TP/SL and SL Distance are not rounded; they’re truncated to mintick so what you see matches valid price increments. 📊 What you’ll see on chart Latest Entry (blue), TP (green), SL (red) with labels (optional emojis: ➡️ 🎯 🛑). Info Table with: Bias, Entry, TP, SL (exact, truncated to mintick) SL Distance (exact, truncated) Position Size (contracts/units) Max USD Risk Point Value ATR Percentile and effective SL Mult 🧪 Practical examples High-volatility session (e.g., XAUUSD, 1H): ATR percentile is high ⇒ wider SL, smaller size. Reduces churn from normal noise during macro events. Range-bound market (e.g., EURUSD, 4H): ATR percentile low ⇒ tighter SL, better R:R. Helps you avoid carrying unnecessary risk. Index swing planning (e.g., ES1!, Daily): Non-repaint levels + risk budgeting = consistent sizing across days/weeks, easier to review and journal. 🧭 Why traders should use it Consistency: Same dollar risk regardless of instrument or volatility regime. Clarity: One-trade view forces focus; you see the numbers that matter. Adaptivity: Stops calibrated to the market’s current behavior, not last month’s. Discipline: A visible checklist (SL distance, size, USD risk) before you hit buy/sell. 🔧 Input guide (practical defaults) CCI Period: 100 by default; use as a bias filter, not an entry signal. ATR Period: 14 by default; raise for smoother, lower for more reactive. ATR Percentile Lookback: 200 by default (stable regime detection). Percentile thresholds: 33/66 by default; widen the gap to change how often regimes switch. SL Mults: Start ~1.5 / 2.0 / 2.5 (low/base/high). Tune by asset. Risk % per trade: Common pro ranges are 0.25–1.0%; adjust to your risk tolerance. R:R: Start with 1:2 or 1:3 for balanced skew; adapt to strategy edge. Closed-bar values: Keep ON for planning/live; turn OFF only for exploration. 💡 Best practices Combine with your entry logic (structure, momentum, liquidity levels). Review ATR percentile and effective SL Mult across sessions so you understand regime shifts. For futures, remember size is floored to whole contracts—safer by design. Journal trades with the table snapshot to improve risk discipline over time. ⚠️ Notes & limitations This is not a strategy; it does not place orders or alerts. No slippage/commissions modeled here; build a strategy() version for backtests that mirror your broker/exchange. Displayed non-price metrics use two decimals; prices and SL Distance are exact (truncated to mintick). 📎 Disclaimer For educational purposes only. Not financial advice. Markets involve risk. Test thoroughly before trading live.
Pine Script® 인디케이터
NathanTradeus의
Lot Size Calculator (Dynamic) with Manual Pip ValueDevoleper: Sheikh Rakib This TradingView indicator helps you calculate the correct lot size based on your risk amount in USD and stop loss (SL) in pips. It dynamically detects pip value per lot depending on the trading instrument (e.g., Forex majors, minors, gold, crypto), and also allows manual override if needed. ✅ Key Features: 📏 Input SL in pips and risk amount in USD ⚙️ Automatically detects pip size and pip value per lot 🧮 Calculates lot size based on your inputs ✍️ Manual pip value override option if auto-detection is incorrect 🖥️ Clean, organized info panel displayed on chart 💹 Works with Forex, Gold (XAUUSD), Silver (XAGUSD), BTC, ETH, and more 📘 Usage Tips: Set your SL in pips and how much you want to risk per trade (USD) If the pip value is not calculated correctly (rare for exotic pairs), enable and set your own value using the “Manual Pip Value” input Recommended for scalpers, day traders, and swing traders who want to manage risk smartly Built with risk management in mind — because consistent trading starts with proper lot sizing.
Pine Script® 인디케이터
Greenbd의
SD Bands Filtered Signals### SD Bands Filtered Signals: Reversion & Volatility Scanner **Core Description:** The SD Bands Filtered Signals is a tool developed to help traders identify more accurate buy and sell signals in sideways markets, or during periods of low price movement. It utilizes the principles of Standard Deviation (SD) and a Moving Average (MA), with a unique 'signal filtering' system added to reduce unnecessary noise. **Key Features:** * **SD Bands:** Creates upper and lower bands to define price volatility zones, providing a clear overview of market conditions. * **Intelligent Reversal Signals:** Generates specially filtered Buy/Sell signals for a 'Reversion to the Mean' strategy. These signals appear only when the market has low volatility and the price touches the SD Bands. * **Advanced Signal Filtering System:** Uses a **`Cooldown Bars`** variable to set a rest period between signals. This prevents repetitive arrows in the same zone, helping you find the best signal at the most suitable point. * **Fully Customizable:** You can adjust the **`Length`**, **`Multiplier`**, **`Sideways Threshold`**, and **`Cooldown Bars`** to fit your trading style and asset of choice. **How to Use:** * **Buy Signal (Green Arrow Up):** Look for this signal when the market is sideways and the price moves down to touch the lower band (SD Low). * **Sell Signal (Red Arrow Down):** Look for this signal when the market is sideways and the price moves up to touch the upper band (SD High). * **Customization:** You can adjust the **`Cooldown Bars`** value to control the number of arrows. If you want more accurate but fewer signals, increase this value. **Disclaimer:** * This indicator is an **analytical tool only** and is not a 100% guarantee of profit. * It should be used in conjunction with other forms of analysis, such as candlestick patterns, trading volume, and proper risk management. ไทย ชื่ออินดิเคเตอร์ "SD Bands Filtered Signals: Reversion & Volatility Scanner" คำอธิบายหลัก: อินดิเคเตอร์ SD Bands Filtered Signals เป็นเครื่องมือที่ถูกพัฒนาขึ้นเพื่อช่วยให้นักเทรดสามารถระบุสัญญาณซื้อ (Buy) และขาย (Sell) ที่แม่นยำขึ้นในตลาดแบบ Sideways หรือช่วงที่ราคาเคลื่อนที่ในกรอบแคบๆ โดยใช้หลักการของ Standard Deviation (SD) และ Moving Average (MA) และเพิ่มระบบ 'กรองสัญญาณ' ที่เป็นเอกลักษณ์เพื่อลดสัญญาณรบกวน (Noise) ที่ไม่จำเป็นออกไป คุณสมบัติเด่น: * SD Bands: สร้างเส้นขอบบนและล่างเพื่อระบุโซนความผันผวนของราคา ทำให้เห็นภาพรวมของตลาดได้ง่าย * สัญญาณ Reversal อัจฉริยะ: สร้างสัญญาณ Buy/Sell ที่ถูกคัดกรองมาเป็นพิเศษสำหรับกลยุทธ์การกลับตัว (Reversion to the Mean) โดยจะปรากฏเฉพาะเมื่อตลาดมีความผันผวนต่ำและราคาแตะขอบของ SD Bands * ระบบกรองสัญญาณขั้นสูง: ใช้ตัวแปร Cooldown Bars เพื่อกำหนดระยะเวลาพักสัญญาณ ทำให้ไม่เกิดลูกศรซ้ำๆ ในโซนเดียวกัน และช่วยให้คุณได้สัญญาณที่ดีที่สุดในจุดที่เหมาะสมที่สุด * ปรับแต่งได้เต็มที่: คุณสามารถปรับค่า Length, Multiplier, Sideways Threshold และ Cooldown Bars เพื่อให้เข้ากับสไตล์การเทรดและคู่สินทรัพย์ที่คุณสนใจ วิธีการใช้งาน: * สัญญาณ Buy (ลูกศรสีเขียวขึ้น): มองหาสัญญาณนี้เมื่อตลาดอยู่ในช่วง Sideways และราคาวิ่งลงมาแตะเส้นขอบล่าง (SD Low) * สัญญาณ Sell (ลูกศรสีแดงลง): มองหาสัญญาณนี้เมื่อตลาดอยู่ในช่วง Sideways และราคาวิ่งขึ้นไปแตะเส้นขอบบน (SD High) * การปรับแต่ง: คุณสามารถปรับค่า Cooldown Bars เพื่อให้ได้จำนวนลูกศรที่ต้องการ หากต้องการสัญญาณที่แม่นยำขึ้นแต่จำนวนน้อยลง ให้เพิ่มค่านี้ให้สูงขึ้น ข้อควรระวัง: * อินดิเคเตอร์นี้เป็นเพียงเครื่องมือวิเคราะห์ ไม่ใช่สัญญาณที่การันตีผลกำไร 100% * ควรใช้ประกอบกับการวิเคราะห์อื่นๆ เช่น รูปแบบแท่งเทียน, ปริมาณการซื้อขาย (Volume) และการจัดการความเสี่ยงที่เหมาะสม
Pine Script® 인디케이터
Mr-7TRILL의
Ayman – Full Smart Suite Auto/Manual Presets + PanelIndicator Name Ayman – Full Smart Suite (OB/BoS/Liq/FVG/Pin/ADX/HTF) + Auto/Manual Presets + Panel This is a multi-condition trading tool for TradingView that combines advanced Smart Money Concepts (SMC) with classic technical filters. It generates BUY/SELL signals, draws Stop Loss (SL) and Take Profit (TP1, TP2) levels, and displays a control panel with all active settings and conditions. 1. Main Features Smart Money Concepts Filters: Order Block (OB) Zones Break of Structure (BoS) Liquidity Sweeps Fair Value Gaps (FVG) Pin Bar patterns ADX filter Higher Timeframe EMA filter (HTF EMA) Two Operating Modes: Auto Presets: Automatically adjusts all settings (buffers, ATR multipliers, RR, etc.) based on your chart timeframe (M1/M5/M15). Manual Mode: Fully customize all parameters yourself. Trade Management Levels: Stop Loss (SL) TP1 – partial profit TP2 – full profit Visual Panel showing: Current settings Filter status Trend direction Last swing levels SL/TP status Alerts for BUY/SELL conditions 2. Entry Conditions A BUY signal is generated when all these are true: Trend: Price above EMA (bullish) HTF EMA: Higher timeframe trend also bullish ADX: Trend strength above threshold OB: Price in a valid bullish Order Block zone BoS: Structure break to the upside Liquidity Sweep: Sweep of recent lows in bullish context FVG: A bullish Fair Value Gap is present Pin Bar: Bullish Pin Bar pattern detected (if enabled) A SELL signal is generated when the opposite conditions are met. 3. Stop Loss & Take Profits SL: Placed just beyond the last swing low (BUY) or swing high (SELL), with a small ATR buffer. TP1: Partial profit target, defined as a ratio of the SL distance. TP2: Full profit target, based on Reward:Risk ratio. 4. How to Use Step 1 – Apply Indicator Open TradingView Go to your chart (recommended: XAUUSD, M1/M5 for scalping) Add the indicator script Step 2 – Choose Mode AUTO Mode: Leave “Use Auto Presets” ON – parameters adapt to your timeframe. MANUAL Mode: Turn Auto OFF and adjust all lengths, buffers, RR, and filters. Step 3 – Filters In the Filters On/Off section, enable/disable specific conditions (OB, BoS, Liq, FVG, Pin Bar, ADX, HTF EMA). Step 4 – Trading the Signals Wait for a BUY or SELL arrow to appear. SL and TP levels will be plotted automatically. TP1 can be used for partial close and TP2 for full exit. Step 5 – Alerts Set alerts via BUY Signal or SELL Signal to receive notifications. 5. Best Practices Scalping: Use M1 or M5 with AUTO mode for gold or forex pairs. Swing Trading: Use M15+ and adjust buffers/ATR manually. Combine with price action confirmation before entering trades. For higher accuracy, wait for multiple filter confirmations rather than acting on the first arrow. 6. Summary Table Feature Purpose Can Disable? Order Block Finds key supply/demand zones ✅ Break of Structure Detects trend continuation ✅ Liquidity Sweep Finds stop-hunt moves ✅ Fair Value Gap Confirms imbalance entries ✅ Pin Bar Price action reversal filter ✅ ADX Trend strength filter ✅ HTF EMA Higher timeframe confirmation ✅
Pine Script® 인디케이터
aymanshraideh의
Ayman Entry Signal – Ultimate PRO (Scalping Gold Settings)1. Overview This indicator is a professional gold scalping tool built for TradingView using Pine Script v6. It combines multiple price action and technical filters to generate high-probability Buy/Sell signals with built-in trade management features (TP1, TP2, SL, Break Even, Partial Close, Stats tracking). It is optimized for XAUUSD but can be applied to other assets with proper setting adjustments. 2. Key Features Multi-Condition Trade Signals – EMA trend, Break of Structure, Order Blocks, FVG, Liquidity Sweeps, Pin Bars, Higher Timeframe confirmation, Trend Cloud, SMA Cross, and ADX. Full Trade Management – Auto-calculates lot size, SL, TP1, TP2, Break Even, Partial Close. Dynamic Chart Drawing – Entry lines, SL/TP lines, trade boxes, and real-time PnL. Statistics Panel – Tracks wins, losses, breakeven trades, and total PnL over selected dates. Customizable Filters – All filters can be turned ON/OFF to match your strategy. 3. Main Inputs & Settings Account Settings Capital ($) – Total trading capital. Risk Percentage (%) – Risk per trade. TP to SL Ratio – Risk-to-reward ratio. Value Per Point ($) – Value per pip/point for lot size calculation. SL Buffer – Extra points added to SL to avoid stop hunts. Take Profit Settings TP1 % of Full Target – Fraction of TP1 compared to TP2. Move SL to Entry after TP1? – Activates Break Even after TP1. Break Even Buffer – Extra points when moving SL to BE. Take Partial Close at TP1 – Option to close half at TP1. Signal Filters ATR Period – For SL/TP calculation buffer. EMA Trend – Uses EMA 9/21 crossover for trend. Break of Structure (BoS) – Requires structure break confirmation. Order Block (OB) – Validates trades within OB zones. Fair Value Gap (FVG) – Confirms trades inside FVGs. Liquidity Sweep – Checks if liquidity zones are swept. Pin Bar Confirmation – Uses candlestick patterns for extra confirmation. Pin Bar Body Ratio – Controls strictness of Pin Bar filter. Higher Timeframe Filters (HTF) HTF EMA Confirmation – Confirms lower timeframe trades with higher timeframe trend. HTF BoS – Confirms with higher timeframe structure break. HTF Timeframe – Selects higher timeframe. Advanced Filters SuperTrend Filter – Confirms trades based on SuperTrend. ADX Filter – Filters out low volatility periods. SMA Cross Filter – Uses SMA 8/9 cross as filter. Trend Cloud Filter – Uses EMA 50/200 as a cloud trend filter. 4. How It Works Buy Signal Conditions EMA 9 > EMA 21 (trend bullish) Optional filters (BoS, OB, FVG, Liquidity Sweep, Pin Bar, HTF confirmations, ADX, SMA Cross, Trend Cloud) must pass if enabled. When all active filters pass → Buy signal triggers. Sell Signal Conditions EMA 9 < EMA 21 (trend bearish) Same filtering process but for bearish conditions. When all active filters pass → Sell signal triggers. 5. Trade Execution & Management When a signal triggers: Lot size is auto-calculated based on risk % and SL distance. SL is placed beyond recent swing high/low + ATR buffer. TP1 and TP2 are calculated from the SL using the reward-to-risk ratio. Break Even: If enabled, SL moves to entry price after TP1 is hit. Partial Close: If enabled, half of the position closes at TP1. Trade Exit: Full exit at TP2, SL hit, or partial close at TP1. 6. Chart Display Entry Line – Shows entry price. SL Line – Red dashed line at stop loss level. TP1 Line – Lime dashed line for TP1. TP2 Line – Green dashed line for TP2. PnL Labels – Displays real-time profit/loss in $. Trade Box – Visual area showing trade range. Pin Bar Shapes – Optional, marks Pin Bars. 7. Statistics Panel Stats Header – Shows “Stats”. Total Trades Wins Losses Breakeven Trades Total PnL Can be reset or filtered by date. 8. How to Use Load the Indicator in TradingView. Select Gold (XAUUSD) on your preferred scalping timeframe (1m, 5m, 15m). Adjust settings: Use default gold scalping settings for quick start. Enable/disable filters according to your style. Wait for a Buy/Sell alert. Confirm visually that all desired conditions align. Place trade with calculated lot size, SL, and TP levels shown on chart. Let trade run – the indicator manages Break Even & Partial Close if enabled. 9. Recommended Timeframes Scalping: 1m, 5m, 15m Day Trading: 15m, 30m, 1H Swing: 4H, Daily (adjust settings accordingly)
Pine Script® 인디케이터
aymanshraideh의
ATR 5 min- FOREX + XAUThis indicator displays the Average True Range (ATR) over the last 20 candles, calculated using the 5-minute timeframe, regardless of the chart timeframe you're currently viewing. It supports: All major forex pairs XAUUSD (Gold), with ATR displayed in full dollars Key Features Always reflects 5-minute volatility Accurate pip scaling: JPY pairs = 1 pip = 0.01 Other forex pairs = 1 pip = 0.0001 XAUUSD = 1 pip = 1.00 (i.e., full dollar) Clean and minimal top-right table display Automatically adapts based on the instrument you're viewing Helps traders gauge recent market volatility across timeframes This is an ideal tool for scalpers, intraday traders, or swing traders who want to monitor short-term volatility conditions from any timeframe view.
Pine Script® 인디케이터
Lmcgarr25의
Daily High/Low Close Breakout - GOLD### **Daily High/Low Close Breakout Indicator** This indicator is a powerful tool for identifying potential breakout opportunities based on the previous day's price action. It's built on a unique time-based logic that defines key support and resistance levels for the trading day. --- ### **How the Indicator Works** The indicator operates in two main phases: 1. **Calculation Period (00:00 to 16:30 Tehran Time):** The indicator first observes the price action from the start of the day until 16:30. During this time, it records the highest and lowest **closing prices** of all candles. The chart background is shaded gray to visually mark this period. 2. **Trading Period (16:30 to 16:30 the next day):** At 16:30, the highest and lowest close levels are finalized and drawn as horizontal lines. These levels then become the primary breakout zones for the next 24 hours. The indicator will generate signals whenever the price crosses these lines. --- ### **Trading Signals** The indicator uses a simple and effective crossover logic for its signals: * **BUY Signal:** A signal is generated when a candle's closing price **crosses above** the high close line. * **SELL Signal:** A signal is generated when a candle's closing price **crosses below** the low close line. --- ### **Important Usage Guidelines** For optimal performance, please follow these specific recommendations: * **Timeframe:** This indicator is designed and optimized to be used exclusively on the **15-minute timeframe**. Using it on other timeframes may produce inconsistent or unreliable results. * **Primary Asset:** The logic for this indicator was developed and backtested primarily for **Gold (XAUUSD)**. Its performance and win rate have been observed to be the most consistent on this asset. * **Asset Restriction:** It is strongly recommended to **avoid using this indicator on other currency pairs or assets**, as it has not been optimized for their specific market behavior. --- ### **Disclaimer** *This indicator is provided for informational and educational purposes only. It is not financial advice. Past performance is not a guarantee of future results. All trading decisions should be based on your own research and risk analysis. Always use proper risk management.*
Pine Script® 인디케이터
hassansadeghirashed의
AymaN Entry Signal – With HTF + Pin Bar + Multi TP + BE + V1Ayman Entry Signal – Indicator Description Overview Ayman Entry Signal – With HTF + Pin Bar + Multi TP + BE + Stats Panel (V1) This is a professional-grade Pine Script indicator designed for scalping and intraday trading, with full trade management, multi-confirmation logic, and advanced visualization. The tool is ideal for traders focused on XAUUSD (Gold), Forex, and other volatile instruments who seek both precision entries and structured exits with dynamic risk control. Main Features Advanced Entry Logic: - EMA fast/slow crossovers (configurable) - Optional conditions: Break of Structure (BoS), Order Block (OB), Fair Value Gap (FVG), Liquidity sweeps, Pin Bars - HTF confirmation using EMA or BoS - Real-time entry condition display Trade Management: - Dynamic calculation of Entry, SL (with ATR buffer), TP1, TP2 - Supports Partial Close and Break Even logic after TP1 - Visual PnL label (dynamic and color-coded) Statistics Panel: - Shows total trades, win/loss/breakeven count, cumulative PnL - Filter by custom date or session - Fully customizable panel appearance Trade Visualization: - Trade box includes all trade levels (Entry, SL, TP1, TP2) - Visual display of trade conditions and PnL result - Option to keep previous trades on chart Alert System: - Alerts for Buy and Sell entries - Compatible with webhook automation systems like MT5/MT4 Customization & Inputs - Capital & risk per trade - Value per pip/point - SL buffer (ATR-based) - Manual EMA override - Enable/disable: EMA, BoS, OB, FVG, Liquidity, Pin Bars - HTF: timeframe + confirmation logic - Trade box/labels visibility - Full color customization - PnL label position: top, center, or bottom Recommended Use - Ideal for Gold scalping (XAUUSD), also effective for Forex - Best on 1m–15m charts; use HTF confirmation from 15m–4H - Pairs well with semi-automated systems using alerts and webhooks Disclaimer Note: This is a non-executing indicator. It does not place trades but provides visual and statistical guidance for professional manual or semi-automated trading.
Pine Script® 인디케이터
aymanshraideh의
Entry HelperEntry Helper is a precision tool designed to enhance clarity and support decision-making in fast-paced trading environments. It adapts intelligently to different timeframes, offering visual guidance based on your chosen context — without the need to manually adjust settings. Specially optimized for scalping assets like XAUUSD, NASDAQ, and SP500, it delivers exactly what you need, when you need it. ⚡ Just switch the chart… and it adjusts itself. Developed by WAKEUP | Maggifx
Pine Script® 인디케이터
Mvirginiasofia의
Time-Price Velocity [QuantAlgo]🟢 Overview The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions. This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula: velocity = priceChange / timeWeight The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings: normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0 where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period. The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time: acceleration = normalizedVelocity - normalizedVelocity Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness: signal = ta.ema(normalizedVelocity, smooth) This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point 2. Acceleration Analysis and Visual Features Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators 3. Additional Features: Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities Alert System: Built-in alerts for threshold crossovers and direction changes 🟢 Examples with Preconfigured Settings Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis. Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities. Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
Pine Script® 인디케이터
QuantAlgo의
5
Buy/Sell Signal - Advanced v2The Buy/Sell Signal – Advanced v2 indicator is a powerful tool designed for traders who seek more reliable and filtered entries. This indicator combines classic technical analysis with modern enhancements to reduce noise and false signals. It generates Buy signals when a bullish candle closes above the 14-period Simple Moving Average (SMA), the RSI is below the oversold threshold (default: 30), and trading volume is higher than the 20-period average—indicating strong momentum and potential reversal from a discounted price zone. Conversely, a Sell signal appears when a bearish candle closes below the SMA, RSI is above the overbought level (default: 70), and volume exceeds its average—signaling potential weakness after a price rally. In addition to entry signals, the indicator automatically plots dynamic support and resistance levels using pivot highs and lows. These levels help traders identify key zones for confirmation, breakout, or rejection. The SMA provides trend direction context, while the volume and RSI filters act as safeguards to avoid trading in low-quality conditions. Ideal for scalpers and intraday traders on 5-minute to 1-hour timeframes, this indicator helps capture trend continuations and early reversals with confidence. For best results, use the signals in conjunction with multi-timeframe analysis and price action confirmation. This tool is especially effective on assets like XAUUSD, forex pairs, and indices.
Pine Script® 인디케이터
reeagsy의