Rozpocznij

Wskaźniki i strategie

Gold 15m: Trend + S/R + Liquidity Sweep (RR 1:2)This strategy is designed for short-term trading on XAUUSD (Gold) using the 15-minute timeframe. It combines trend direction, support/resistance pivots, liquidity sweep detection, and momentum confirmation to identify high-probability reversal setups in line with the dominant market trend. ⚙️ Core Logic: Trend Filter (EMA 200): The strategy only takes long positions when price is above the 200 EMA and short positions when price is below it. Support/Resistance via Pivots: Dynamic swing highs and lows are identified using pivot points. These act as local supply and demand levels where liquidity is likely to accumulate. Liquidity Sweep Detection: A bullish liquidity sweep occurs when price briefly breaks below the last pivot low (grabbing liquidity) and then closes back above it. A bearish sweep occurs when price breaks above the last pivot high and then closes back below. Momentum & Candle Strength: The strategy filters signals based on candle range and body size to ensure entries occur during strong price reactions, not weak retracements. Risk Management (1:2 RR): Stop-loss is placed slightly beyond the last pivot level using ATR-based buffers, and take-profit is set at 2× the risk distance, maintaining a reward-to-risk ratio of 1:2. 💼 Trade Logic Summary: Long Entry: After a bullish liquidity sweep & reclaim, momentum confirmation, and trend alignment (above EMA 200). Short Entry: After a bearish sweep & reclaim, momentum confirmation, and trend alignment (below EMA 200). Exit: Automated via ATR-based Stop Loss and Take Profit targets. 📊 Customization Options: Adjustable EMA length, pivot settings, ATR multipliers, and RR ratio. Option to enable/disable trend filter. Toggle display of S/R zones on chart. 🧠 Best Use: Works best during London and New York sessions when Gold shows strong momentum. Can be adapted for forex pairs and indices by tuning ATR and pivot parameters.
Strategia Pine Script®
od phanongkumsen
Option Buying Strategy By Raj PandyaThis strategy is designed for intraday trading on BankNifty using a powerful confluence of trend, structure and momentum. It combines the 9-period Exponential Moving Average (EMA) with Daily Traditional Pivot Points to identify high-probability breakout trades. A Long (CALL) signal is generated when price crosses and closes above both the 9 EMA and the Daily Pivot Point (PP), confirming upward trend strength. A Short (PUT) signal triggers when price crosses and closes below the 9 EMA and PP, signaling downside momentum. To reduce false signals, the strategy uses RSI with a moving average filter to ensure momentum aligns with price action. Risk management is built-in with previous candle high/low stop-loss, a fixed 50-point target, and an automatic trailing stop system to protect profits on trending days. This helps capitalize on strong momentum while managing risk effectively. This strategy works best on the 5-minute timeframe and is optimized for BankNifty futures/options. It aims to capture clean directional moves around key intraday value levels used by institutional traders.
Strategia Pine Script®
od rajpandya18477
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.
Wskaźnik Pine Script®
od hfdavid
VWAP & Band Cross Strategy v6 - AdvancedThese are a few updates made to the original script. The daily take profit and stop loss functions correctly for 1 contract but because of the pyramiding input even if not used you'll need to multiply the values by the number of contracts to keep consistent results. I have been unable to correct that function. Let me know if you test the script and have any recommendations for improvement. If trading an actual account I do recommend setting hard daily limits with your provider because there is still slippage from the original exit alerts even with the daily stop loss in place. 1. Real-Time Execution & Hard PnL Limits (The Focus) The most critical changes were implemented to ensure the daily profit and loss limits act as hard, real-time barriers instead of waiting for the candle to close. • Intrabar Tick Execution: The parameter calc_on_every_tick=true was added to the strategy() declaration. This forces the entire script to re-evaluate its logic on every single price update (tick), enabling immediate action. • Real-Time PnL Tracking: The PnL calculation was updated to track the total_daily_pnl by summing the realized profit/loss (from closed trades) and the unrealized profit/loss (strategy.openprofit) on every tick. • Immediate Closure: The script now checks the total_daily_pnl against the user-defined limits (daily_take_profit_value, daily_stop_loss_value) and immediately executes strategy.close_all() the moment the threshold is breached, preventing further trading. • Combined Risk Enforcement: The user-defined "Max Intraday Risk ($)" and the "Daily Stop Loss (Value)" are compared, and the script enforces the tighter of the two limits. 2. Visibility and External Alerting To address the unavoidable issue of slippage (which causes price overshoot in fast markets even with tick execution), dedicated alert mechanisms were added. • Dedicated Alert Condition: An alertcondition named DAILY PNL LIMIT REACHED was added. This allows you to set up a TradingView alert that triggers the instant the daily_limit_reached variable turns true, giving you the fastest possible notification. • Visual Marker: A large red triangle (\u25b2) is plotted on the chart using plotchar at the exact moment the daily limit condition is met, providing a clear visual confirmation of the trigger bar. 3. Strategy Features and Input Flexibility Several user-requested features were integrated to make the strategy more robust and customizable. • Trailing Stop / Breakeven (TSL/BE): A new exit option, Fixed Ticks + TSL, was added, allowing you to set a fixed profit target while also deploying a trailing stop or breakeven level based on points/ticks gained. • Multiple Exit Types: The exit strategy was expanded to include logic for several types: Fixed Ticks, ATR-based, Capped ATR-based, VWAP Cross, and Price/Band Crosses. • Pyramiding Control: An input Max Pyramiding Entries was introduced to control how many positions the strategy can have open at the same time. • Confirmation Logic Toggle: Added an input to choose how multiple confirmation indicators (RSI, SMMA, MACD) are combined: "AND" (all must be true) or "OR" (at least one must be true). • Indicator Confirmations: Logic for three external indicators—RSI, SMMA (EMA), and MACD—was fully integrated to act as optional filters for entry. • VWAP Reset Anchors: Logic was corrected to properly reset the VWAP calculation based on the selected period ("Daily", "Weekly", or "Session") by using Pine Script v6's required anchor series. Trading Day Filters: Inputs were added to select which specific days of the week the strategy is allowed to trade.
Strategia Pine Script®
od mcward302
AG_STRATEGY📈 AG_STRATEGY — Smart Money System + Sessions + PDH/PDL AG_STRATEGY is an advanced Smart Money Concepts (SMC) toolkit built for traders who follow market structure, liquidity and institutional timing. It combines real-time market structure, session ranges, liquidity levels, and daily institutional levels — all in one clean, professional interface. ✅ Key Features 🧠 Smart Money Concepts Engine Automatic detection of: BOS (Break of Structure) CHoCH (Change of Character) Dual structure system: Swing & Internal Historical / Present display modes Optional structural candle coloring 🎯 Liquidity & Market Structure Equal Highs (EQH) and Equal Lows (EQL) Marks strong/weak highs & lows Real-time swing confirmation Clear visual labels + smart positioning ⚡ Fair Value Gaps (FVG) Automatic bullish & bearish FVGs Higher-timeframe compatible Extendable boxes Auto-filtering to remove noise 🕓 Institutional Sessions Asia London New York Includes: High/Low of each session Automatic range plotting Session background shading London & NY Open markers 📌 PDH/PDL + Higher-Timeframe Levels PDH / PDL (Previous Day High/Low) Dynamic confirmation ✓ when liquidity is swept Multi-timeframe level support: Daily Weekly Monthly Line style options: solid / dashed / dotted 🔔 Built-in Alerts Internal & swing BOS / CHoCH Equal Highs / Equal Lows Bullish / Bearish FVG detected 🎛 Fully Adjustable Interface Colored or Monochrome visual mode Custom label sizes Extend levels automatically Session timezone settings Clean, modular toggles for each component 🎯 Designed For Traders Who Follow institutional order flow Enter on BOS/CHoCH + FVG + Liquidity sweeps Trade London & New York sessions Want structure and liquidity clearly mapped Prefer clean charts with full control 💡 Why AG_STRATEGY Stands Out ✔ Professional SMC engine ✔ Real-time swing & internal structure ✔ Session-based liquidity tracking ✔ Non-cluttered chart — high clarity ✔ Supports institutional trading workflows
Wskaźnik Pine Script®
od agoney
PARTH Gold Profit IndicatorWhat's Inside: ✅ What is gold trading (XAU/USD explained) ✅ Why trade gold (5 major reasons) ✅ How to make money (buy/sell mechanics) ✅ Complete trading setup using your indicator ✅ Entry rules (when to buy/sell with examples) ✅ Risk management (THE MOST IMPORTANT) ✅ Best trading times (London-NY overlap) ✅ 3 trading styles (scalping, swing, position) ✅ 6 common mistakes to avoid ✅ Realistic profit expectations ✅ Pre-trade checklist ✅ Step-by-step getting started guide ✅ Everything a beginner need
Wskaźnik Pine Script®
od parthraj414
Retail vs Banker Net Positions – Symmetry BreakRetail vs Banker Net Positions – Symmetry Break (Institution Focus) Description: This advanced indicator is a volume-proxy-based positioning tool that separates institutional vs. retail behavior using bar structure, trend-following logic, and statistical analysis. It identifies net position flows over time, detects institutional aggression spikes, and highlights symmetry breaks—those moments when institutional action diverges sharply from retail behavior. Designed for intraday to swing traders, this is a powerful tool for gauging smart money activity and retail exhaustion. What It Does: Separates Volume into Two Groups: Institutional Proxy: Volume on large bars in trend direction Retail Proxy: Volume on small or counter-trend bars Calculates Net Positions (%): Smooths cumulative buying vs. selling behavior for each group over time. Highlights Symmetry Breaks: Alerts when institutions make statistically abnormal moves while retail is quiet or doing the opposite. Detects Extremes in Institutional Activity: Flags major tops/bottoms in institutional positioning using swing pivots or rolling windows. Retail Sentiment Flips: Marks when the retail line crosses the zero line (e.g., flipping from net short to net long). How to Use It: Interpreting the Two Lines: Aqua/Orange Line (Institutional Proxy): Rising above zero = Net buying bias Falling below zero = Net selling bias Lime/Red Line (Retail Proxy): Green = Retail buying; Red = Retail selling Watch for crosses of zero for sentiment shifts Spotting Symmetry Breaks: Pink Circle or Background Highlight = Institutions made a sharp, outsized move while retail was: Quiet (low ROC), or Moving in the opposite direction These often precede explosive directional moves or stop hunts. Institutional Extremes: Marked with aqua (top) or orange (bottom) dots Based on swing pivot logic or rolling highs/lows in institutional positioning Optional filter: Only show extremes that coincide with a symmetry break Settings You Can Tune: Lookback lengths for trend, z-scores, smoothing Z-Score thresholds to control sensitivity Retail quiet filters to reduce false positives Cool-down timer to avoid rapid repeat signals Toggle visual aids like shading, markers, and threshold lines Alerts Included: -Retail flips (green/red) - Institutional symmetry breaks - Institutional extreme tops/bottoms Strategy Tip: Use this indicator to track institutional accumulation or distribution phases and catch asymmetric inflection points where the "smart money" acts decisively. Confluence with price structure or FVGs (Fair Value Gaps) can further enhance signal quality.
Wskaźnik Pine Script®
od JasonHyde
HTF Candle Countdown Timer//@version=5 indicator("HTF Candle Countdown Timer", overlay=true) // ============================================================================ // INPUTS - SETTINGS MENU // ============================================================================ // --- Mode Selection --- mode = input.string(title="Mode", defval="Auto", options= , tooltip="Auto: Αυτόματη αντιστοίχιση timeframes Custom: Επιλέξτε το δικό σας timeframe") // --- Custom Timeframe Selection --- customTF = input.timeframe(title="Custom Timeframe", defval="15", tooltip="Ενεργό μόνο σε Custom Mode") // --- Table Position --- tablePos = input.string(title="Table Position", defval="Bottom Right", options= ) // --- Colors --- textColor = input.color(title="Text Color", defval=color.white) bgColor = input.color(title="Background Color", defval=color.black) transparentBg = input.bool(title="Transparent Background", defval=false, tooltip="Ενεργοποίηση διάφανου φόντου") // --- Text Size --- textSize = input.string(title="Text Size", defval="Normal", options= ) // ============================================================================ // FUNCTIONS // ============================================================================ // Μετατροπή string position σε table position constant getTablePosition(pos) => switch pos "Top Left" => position.top_left "Top Right" => position.top_right "Bottom Left" => position.bottom_left "Bottom Right" => position.bottom_right => position.bottom_right // Μετατροπή string size σε size constant getTextSize(size) => switch size "Auto" => size.auto "Tiny" => size.tiny "Small" => size.small "Normal" => size.normal "Large" => size.large "Huge" => size.huge => size.normal // Αυτόματη αντιστοίχιση timeframes getAutoTimeframe() => currentTF = timeframe.period string targetTF = "" if currentTF == "1" targetTF := "15" else if currentTF == "3" targetTF := "30" else if currentTF == "5" targetTF := "60" else if currentTF == "15" targetTF := "240" else if currentTF == "60" targetTF := "D" else if currentTF == "240" targetTF := "W" else // Default fallback για μη-mapped timeframes targetTF := "60" targetTF // Μετατροπή timeframe string σε λεπτά για σύγκριση timeframeToMinutes(tf) => float minutes = 0.0 if str.contains(tf, "D") multiplier = str.tonumber(str.replace(tf, "D", "")) minutes := na(multiplier) ? 1440.0 : multiplier * 1440.0 else if str.contains(tf, "W") multiplier = str.tonumber(str.replace(tf, "W", "")) minutes := na(multiplier) ? 10080.0 : multiplier * 10080.0 else if str.contains(tf, "M") multiplier = str.tonumber(str.replace(tf, "M", "")) minutes := na(multiplier) ? 43200.0 : multiplier * 43200.0 else minutes := str.tonumber(tf) minutes // Format countdown σε ώρες:λεπτά:δευτερόλεπτα ή λεπτά:δευτερόλεπτα formatCountdown(milliseconds) => totalSeconds = math.floor(milliseconds / 1000) hours = math.floor(totalSeconds / 3600) minutes = math.floor((totalSeconds % 3600) / 60) seconds = totalSeconds % 60 string result = "" if hours > 0 result := str.format("{0,number,00}:{1,number,00}:{2,number,00}", hours, minutes, seconds) else result := str.format("{0,number,00}:{1,number,00}", minutes, seconds) result // Μετατροπή timeframe σε readable format formatTimeframe(tf) => string formatted = "" if str.contains(tf, "D") formatted := tf + "aily" else if str.contains(tf, "W") formatted := tf + "eekly" else if str.contains(tf, "M") formatted := tf + "onthly" else if tf == "60" formatted := "1H" else if tf == "240" formatted := "4H" else formatted := tf + "min" formatted // ============================================================================ // MAIN LOGIC // ============================================================================ // Επιλογή target timeframe βάσει mode targetTimeframe = mode == "Auto" ? getAutoTimeframe() : customTF // Validation: Έλεγχος αν το target timeframe είναι μεγαλύτερο από το τρέχον currentTFMinutes = timeframeToMinutes(timeframe.period) targetTFMinutes = timeframeToMinutes(targetTimeframe) var string warningMessage = "" if targetTFMinutes <= currentTFMinutes warningMessage := "⚠ HTF < Current TF" else warningMessage := "" // Υπολογισμός του χρόνου κλεισίματος του HTF candle htfTime = request.security(syminfo.tickerid, targetTimeframe, time) htfTimeClose = request.security(syminfo.tickerid, targetTimeframe, time_close) // Υπολογισμός υπολειπόμενου χρόνου σε milliseconds remainingTime = htfTimeClose - timenow // Format countdown countdown = warningMessage != "" ? warningMessage : formatCountdown(remainingTime) // Format timeframe για εμφάνιση displayTF = formatTimeframe(targetTimeframe) // ============================================================================ // TABLE DISPLAY // ============================================================================ // Δημιουργία table var table countdownTable = table.new( position=getTablePosition(tablePos), columns=2, rows=2, bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor, frame_width=1, frame_color=color.gray, border_width=1) // Update table content if barstate.islast // Header table.cell(countdownTable, 0, 0, "Timeframe:", text_color=textColor, bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor, text_size=getTextSize(textSize)) table.cell(countdownTable, 1, 0, displayTF, text_color=textColor, bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor, text_size=getTextSize(textSize)) // Countdown table.cell(countdownTable, 0, 1, "Countdown:", text_color=textColor, bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor, text_size=getTextSize(textSize)) table.cell(countdownTable, 1, 1, countdown, text_color=warningMessage != "" ? color.orange : textColor, bgcolor=transparentBg ? color.new(bgColor, 100) : bgColor, text_size=getTextSize(textSize)) // ============================================================================ // END OF SCRIPT // ============================================================================
Wskaźnik Pine Script®
od kotsol
Nqaba Goldminer StrategyThis indicator plots the New York session key timing levels used in institutional intraday models. It automatically marks the 03:00 AM, 10:00 AM, and 2:00 PM (14:00) New York times each day: Vertical lines show exactly when those time windows open — allowing traders to identify major global liquidity shifts between London, New York, and U.S. session overlaps. Horizontal lines mark the opening price of the 5-minute candle that begins at each of those key times, providing precision reference levels for potential reversals, continuation setups, and intraday bias shifts. Users can customize each line’s color, style (solid/dashed/dotted), width, and horizontal-line length. A history toggle lets you display all past occurrences or just today’s key levels for a cleaner chart. These reference levels form the foundation for strategies such as: London Breakout to New York Reversal models Opening Range / Session Open bias confirmation Institutional volume transfer windows (London → NY → Asia) The tool provides a simple visual structure for traders to frame intraday decision-making around recurring institutional time events.
Wskaźnik Pine Script®
od NqabaNhantsi
4
Murrey Math SMA up to 32s Murrey Math SMA up to 32s is a highly advanced Pine Script v5 indicator that combines Murrey Math Lines (MML) with a customizable moving average (MA) — including a non-repainting Rolling VWAP (RVWAP) — and dynamic color-coded support/resistance bands up to 1/32 subdivisions. It projects octave-based geometric price levels (like Gann) centered on your chosen MA, with adaptive scaling, angle-based trend coloring, and absolute/extended MML bands. Includes 1/8, 1/16, and 1/32 grid lines, shaded zones, labels, and a live increment display.Core FeaturesFeature Description MA Types SMA, VWMA, VWAP, Period VWAP, RVWAP (rolling VWAP over fixed or adaptive time window) Murrey Math Grid Auto-scaled 0/8 to 8/8 + extensions (±3/8), with 1/16 & 1/32 subdivisions Dynamic Coloring Bands colored by MA slope angle (bullish/bearish) or absolute MML shift RVWAP Engine Non-repainting volume-weighted average over user-defined or adaptive time steps Wick Filtering Optional ignore wicks for cleaner MML framing Resolution Support Works with higher timeframe data via request.security() Key Use Cases Use Case How to Use 1. Precision Support & Resistance Treat 4/8 (mid) as pivot, 0/8 & 8/8 as extremes. Price often reverses or accelerates at these levels. 2. Mean Reversion Trades Buy near 0/8–1/8 (oversold), sell near 7/8–8/8 (overbought) when MA is flat or sloping mildly. 3. Trend Continuation When MA angle > threshold and price breaks 5/8, expect move to 8/8. Confirm with volume. 4. Breakout Entries Watch for close beyond 8/8 or 0/8 + MA angle steep → strong momentum breakout. 5. Scalping with 1/32 Grid Use 1/32 lines as micro-targets in ranging markets or after news spikes. 6. Volume-Weighted Fair Value RVWAP = true average price paid over time → anchor for institutional fair value. Visual Layout (MA-Centered) +3/8 ───┐ +2/8 ───┤ ← Strong resistance +1/8 ───┤ 8/8 ███┤ ← Overbought (red zone) 7/8 ───┤ 6/8 ███┤ 5/8 ───┤ 4/8 ███┤ ← Midline (pivot) 3/8 ───┤ 2/8 ███┤ 1/8 ───┤ 0/8 ███┤ ← Oversold (green zone) -1/8 ───┤ -2/8 ───┤ -3/8 ───┘ Shaded: 0/8–1/8 (buy), 7/8–8/8 (sell), 3/8–5/8 (neutral/consolidation) MA Line: Orange (RVWAP) or hidden Labels: Bottom, 1/4, Mid, 3/4, Top (offset to the right) Table: Shows current Increment size Best For Swing & scalp traders on stocks, forex, crypto Volume-based strategies (RVWAP shines in high-volume moves) Gann/Murrey Math enthusiasts wanting automation + modern MA anchoring
Wskaźnik Pine Script®
od surfchaser
AG Pro Dynamic ChannelsAG Pro Dynamic Channels V2 Discover a new lens through which to view market structure with the AG Pro Dynamic Channels V2. This advanced indicator moves beyond simple trendlines, automatically identifying, classifying, and drawing eight distinct types of support and resistance channels directly on your chart. Built on a sophisticated pivot-point detection engine, this script intelligently distinguishes between Major and Minor price structures, as well as Internal and External channels. This provides a comprehensive and multi-dimensional map of the market's flow, helping you identify trend continuations, corrections, and potential reversals. The indicator is complete with a powerful, fully customizable alert system designed to notify you of the two most critical events: channel breakouts and price reactions. Key Features Fully Automatic Channels: The script automatically analyzes price action to find pivot highs and lows, using them to construct relevant channels without any manual drawing required. 8-Channel Classification: Gain deep market insight by viewing eight distinct channel types: Major External (Up/Down) Major Internal (Up/Down) Minor External (Up/Down) Minor Internal (Up/Down) Advanced Pivot Engine: The core logic classifies pivots into categories like Higher Highs (MHH/mHH), Lower Lows (MLL/mLL), Higher Lows (MHL/mHL), and Lower Highs (MLH/mLH) to determine the precise start and end points for each channel. Deep Customization: Take full control of your chart's appearance. You can individually toggle the visibility, color, line style (solid, dashed, dotted), and line width for all eight channel types. Chart Clarity: A "Delete Previous" option is available for each channel type, allowing you to keep your chart clean and focused on only the most current and relevant market structures. Comprehensive Alert System Never miss a key price interaction. The AG Pro Dynamic Channels V2 features a robust, built-in alert module. Dual-Alert Conditions: Get notifications for two distinct events: Break Alert: Triggers when price confirms a close outside of a channel, signaling a potential breakout. React Alert: Triggers when price touches or interacts with a channel line before closing back inside, signaling a test or rejection. 16 Unique Alerts: You have full control to enable or disable "Break" and "React" alerts for all 8 channel types individually, giving you 16 unique alert conditions to monitor. Professional Alert Messages: The embedded alert sender provides detailed messages that include the asset, timeframe, and the specific event, such as "Break Major External Up Channel" or "React Minor Internal Down Channel". Alert Configuration: Easily set your global Alert Name, Message Frequency (e.g., Once Per Bar, Once Per Bar Close), and Alert Time Zone from the script's settings. How to Use Trend Identification: Use the Major External Channels (drawn from MHH and MLL pivots) to identify the primary, long-term trend direction. Pullback & Entry Zones: Use the Internal Channels (drawn from MHL and MLH pivots) to spot corrections and potential entry zones within an established trend. Breakout Trading: Set Break Alerts on Major channels to be notified of significant, structure-shifting moves. Short-Term & Counter-Trend: Utilize the Minor Channels to identify shorter-term price swings and potential reversal points.
Wskaźnik Pine Script®
od AGProLabs
SigmaRevert: Z-Score Adaptive Mean Reversion [KedArc Quant]🔍 Overview SigmaRevert is a clean, research-driven mean-reversion framework built on Z-Score deviation — a statistical measure of how far the current price diverges from its dynamic mean. When price stretches too far from equilibrium (the mean), SigmaRevert identifies the statistical “sigma distance” and seeks reversion trades back toward it. Designed primarily for 5-minute intraday use, SigmaRevert automatically adapts to volatility via ATR-based scaling, optional higher-timeframe trend filters, and cooldown logic for controlled frequency 🧠 What “Sigma” Means Here In statistics, σ (sigma) represents standard deviation, the measure of dispersion or variability. SigmaRevert uses this concept directly: Each bar’s price deviation from the mean is expressed as a Z-Score — the number of sigmas away from the mean. When Z > 1.5, the price is statistically “over-extended”; when it returns toward 0, it reverts to the mean. In short: Sigma = Standard deviation distance SigmaRevert = Trading the reversion of extreme sigma deviations 💡 Why Traders Use SigmaRevert Quant-based clarity: removes emotion by relying on statistical extremes. Volatility-adaptive: automatically adjusts to changing market noise. Low drawdown: filters avoid over-exposure during strong trends. Multi-market ready: works across stocks, indices, and crypto with parameter tuning. Modular design: every component can be toggled without breaking the core logic. 🧩 Why This Is NOT a Mash-Up Unlike “mash-up” scripts that randomly combine indicators, this strategy is built around one cohesive hypothesis: “Price deviations from a statistically stable mean (Z-Score) tend to revert.” Every module — ATR scaling, cooldown, HTF trend gating, exits — reinforces that single hypothesis rather than mixing unrelated systems (like RSI + MACD + EMA). The structure is minimal yet expandable, maintaining research integrity and transparency. ⚙️ Input Configuration (Simplified Table) Core `maLen` 120 Lookback for mean (SMA) `zLen` 60 Window for Z-score deviation `zEntry` 1.5 Entry when Z exceeds threshold `zExit` 0.3 Exit when Z normalizes Filters (optional) `useReCross` false Requires re-entry confirmation `useTrend` false / true Enables HTF SMA bias `htfTF` “60” HTF timeframe (e.g. 60-min) `useATRDist` false Demands min distance from mean `atrK` 1.0 ATR distance multiplier `useCooldown` false / true Forces rest after exit Risk `useATRSL` false / true Adaptive stop-loss via ATR `atrLen` 14 ATR lookback `atrX` 1.4 ATR multiplier for stop Session `useSession` false Restrict to market hours `sess` “0915-1530” NSE timing `skipOpenBars` 0–3 Avoid early volatility UI `showBands` true Displays ±1σ & ±2σ `showMarks` true Shows triggers and exits 🎯 Entry & Exit Logic Long Entry Trigger: `Z < -zEntry` Optional re-cross: prior Z < −zEntry, current Z −zEntry Optional trend bias: current close above HTF SMA Optional ATR filter: distance from mean ATR × K Short Entry Trigger: `Z +zEntry` Optional re-cross: prior Z +zEntry, current Z < +zEntry Optional trend bias: current close below HTF SMA Optional ATR filter: distance from mean ATR × K Exit Conditions Primary exit: `Z < zExit` (price normalized) Time stop: `bars since entry timeStop` Optional ATR stop-loss: ±ATR × multiplier Optional cooldown: no new trade for X bars after exit 🕒 When to Use Intraday (5m) `maLen=120`, `zEntry=1.5`, `zExit=0.3`, `useTrend=false`, `cooldownBars=6` Capture intraday oscillations Minutes → hours Swing (30m–1H) `maLen=200`, `zEntry=1.8`, `zExit=0.4`, `useTrend=true`, `htfTF="D"` Mean-reversion between daily pivots 1–2 days Positional (4H–1D) `maLen=300`, `zEntry=2.0`, `zExit=0.5`, `useTrend=true` Capture multi-day mean reversions Days → weeks 📘 Glossary Z-Score Statistical measure of how far current price deviates from its mean, normalized by standard deviation. Mean Reversion The tendency of price to return to its average after temporary divergence. ATR Average True Range — measures volatility and defines adaptive stop distances. Re-Cross Secondary signal confirming reversal after an extreme. HTF Higher Timeframe — provides macro trend bias (e.g. 1-hour or daily). Cooldown Minimum bars to wait before re-entering after a trade closes. ❓ FAQ Q1: Why are there no trades sometimes? ➡ Check that all filters are off. If still no trades, Z-scores might not breach the thresholds. Lower `zEntry` (1.2–1.4) to increase frequency. Q2: Why does it sometimes fade breakouts? ➡ Mean reversion assumes overextension — disable it during strong trending days or use the HTF filter. Q3: Can I use this for Forex or Crypto? ➡ Yes — but adjust session filters (`useSession=false`) and increase `maLen` for smoother means. Q4: Why is profit factor so high but small overall gain? ➡ Because this script focuses on capital efficiency — low drawdown and steady scaling. Increase position size once stable. Q5: Can I automate this on broker integration? ➡ Yes — the strategy uses standard `strategy.entry` and `strategy.exit` calls, compatible with TradingView webhooks. 🧭 How It Helps Traders This strategy gives: Discipline: no impulsive trades — strict statistical rules. Consistency: removes emotional bias; same logic applies every bar. Scalability: works across instruments and timeframes. Transparency: all signals are derived from visible Z-Score math. It’s ideal for quant-inclined discretionary traders who want rule-based entries but maintain human judgment for context (earnings days, macro news, etc.). 🧱 Final Notes Best used on liquid stocks with continuous price movement. Avoid illiquid or gap-heavy tickers. Validate parameters per instrument — Z behavior differs between equities and indices. Remember: Mean reversion works best in range-bound volatility, not during explosive breakouts. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Strategia Pine Script®
od kedarcquant
6