Inizia

Pattern grafici

Seasonality Heatmap [QuantAlgo]🟢 Overview The Seasonality Heatmap analyzes years of historical data to reveal which months and weekdays have consistently produced gains or losses, displaying results through color-coded tables with statistical metrics like consistency scores (1-10 rating) and positive occurrence rates. By calculating average returns for each calendar month and day-of-week combination, it identifies recognizable seasonal patterns (such as which months or weekdays tend to rally versus decline) and synthesizes this into actionable buy low/sell high timing possibilities for strategic entries and exits. This helps traders and investors spot high-probability seasonal windows where assets have historically shown strength or weakness, enabling them to align positions with recurring bull and bear market patterns. 🟢 How It Works 1. Monthly Heatmap How % Return is Calculated: The indicator fetches monthly closing prices (or Open/High/Low based on user selection) and calculates the percentage change from the previous month: (Current Month Price - Previous Month Price) / Previous Month Price × 100 Each cell in the heatmap represents one month's return in a specific year, creating a multi-year historical view Colors indicate performance intensity: greener/brighter shades for higher positive returns, redder/brighter shades for larger negative returns What Averages Mean: The "Avg %" row displays the arithmetic mean of all historical returns for each calendar month (e.g., averaging all Januaries together, all Februaries together, etc.) This metric identifies historically recurring patterns by showing which months have tended to rise or fall on average Positive averages indicate months that have typically trended upward; negative averages indicate historically weaker months Example: If April shows +18.56% average, it means April has averaged a 18.56% gain across all years analyzed What Months Up % Mean: Shows the percentage of historical occurrences where that month had a positive return (closed higher than the previous month) Calculated as: (Number of Months with Positive Returns / Total Months) × 100 Values above 50% indicate the month has been positive more often than negative; below 50% indicates more frequent negative months Example: If October shows "64%", then 64% of all historical Octobers had positive returns What Consistency Score Means: A 1-10 rating that measures how predictable and stable a month's returns have been Calculated using the coefficient of variation (standard deviation / mean) - lower variation = higher consistency High scores (8-10, green): The month has shown relatively stable behavior with similar outcomes year-to-year Medium scores (5-7, gray): Moderate consistency with some variability Low scores (1-4, red): High variability with unpredictable behavior across different years Example: A consistency score of 8/10 indicates the month has exhibited recognizable patterns with relatively low deviation What Best Means: Shows the highest percentage return achieved for that specific month, along with the year it occurred Reveals the maximum observed upside and identifies outlier years with exceptional performance Useful for understanding the range of possible outcomes beyond the average Example: "Best: 2016: +131.90%" means the strongest January in the dataset was in 2016 with an 131.90% gain What Worst Means: Shows the most negative percentage return for that specific month, along with the year it occurred Reveals maximum observed downside and helps understand the range of historical outcomes Important for risk assessment even in months with positive averages Example: "Worst: 2022: -26.86%" means the weakest January in the dataset was in 2022 with a 26.86% loss 2. Day-of-Week Heatmap How % Return is Calculated: Calculates the percentage change from the previous day's close to the current day's price (based on user's price source selection) Returns are aggregated by day of the week within each calendar month (e.g., all Mondays in January, all Tuesdays in January, etc.) Each cell shows the average performance for that specific day-month combination across all historical data Formula: (Current Day Price - Previous Day Close) / Previous Day Close × 100 What Averages Mean: The "Avg %" row at the bottom aggregates all months together to show the overall average return for each weekday Identifies broad weekly patterns across the entire dataset Calculated by summing all daily returns for that weekday across all months and dividing by total observations Example: If Monday shows +0.04%, Mondays have averaged a 0.04% change across all months in the dataset What Days Up % Mean: Shows the percentage of historical occurrences where that weekday had a positive return Calculated as: (Number of Positive Days / Total Days Observed) × 100 Values above 50% indicate the day has been positive more often than negative; below 50% indicates more frequent negative days Example: If Fridays show "54%", then 54% of all Fridays in the dataset had positive returns What Consistency Score Means: A 1-10 rating measuring how stable that weekday's performance has been across different months Based on the coefficient of variation of daily returns for that weekday across all 12 months High scores (8-10, green): The weekday has shown relatively consistent behavior month-to-month Medium scores (5-7, gray): Moderate consistency with some month-to-month variation Low scores (1-4, red): High variability across months, with behavior differing significantly by calendar month Example: A consistency score of 7/10 for Wednesdays means they have performed with moderate consistency throughout the year What Best Means: Shows which calendar month had the strongest average performance for that specific weekday Identifies favorable day-month combinations based on historical data Format shows the month abbreviation and the average return achieved Example: "Best: Oct: +0.20%" means Mondays averaged +0.20% during October months in the dataset What Worst Means: Shows which calendar month had the weakest average performance for that specific weekday Identifies historically challenging day-month combinations Useful for understanding which month-weekday pairings have shown weaker performance Example: "Worst: Sep: -0.35%" means Tuesdays averaged -0.35% during September months in the dataset 3. Optimal Timing Table/Summary Table → Best Month to BUY: Identifies the month with the lowest average return (most negative or least positive historically), representing periods where prices have historically been relatively lower Based on the observation that buying during historically weaker months may position for subsequent recovery Shows the month name, its average return, and color-coded performance Example: If May shows -0.86% as "Best Month to BUY", it means May has historically averaged -0.86% in the analyzed period → Best Month to SELL: Identifies the month with the highest average return (most positive historically), representing periods where prices have historically been relatively higher Based on historical strength patterns in that month Example: If July shows +1.42% as "Best Month to SELL", it means July has historically averaged +1.42% gains → 2nd Best Month to BUY: The second-lowest performing month based on average returns Provides an alternative timing option based on historical patterns Offers flexibility for staged entries or when the primary month doesn't align with strategy Example: Identifies the next-most favorable historical buying period → 2nd Best Month to SELL: The second-highest performing month based on average returns Provides an alternative exit timing based on historical data Useful for staged profit-taking or multiple exit opportunities Identifies the secondary historical strength period Note: The same logic applies to "Best Day to BUY/SELL" and "2nd Best Day to BUY/SELL" rows, which identify weekdays based on average daily performance across all months. Days with lowest averages are marked as buying opportunities (historically weaker days), while days with highest averages are marked for selling (historically stronger days). 🟢 Examples Example 1: NVIDIA NASDAQ:NVDA - Strong May Pattern with High Consistency Analyzing NVIDIA from 2015 onwards, the Monthly Heatmap reveals May averaging +15.84% with 82% of months being positive and a consistency score of 8/10 (green). December shows -1.69% average with only 40% of months positive and a low 1/10 consistency score (red). The Optimal Timing table identifies December as "Best Month to BUY" and May as "Best Month to SELL." A trader recognizes this high-probability May strength pattern and considers entering positions in late December when prices have historically been weaker, then taking profits in May when the seasonal tailwind typically peaks. The high consistency score in May (8/10) provides additional confidence that this pattern has been relatively stable year-over-year. Example 2: Crypto Market Cap CRYPTOCAP:TOTALES - October Rally Pattern An investor examining total crypto market capitalization notices September averaging -2.42% with 45% of months positive and 5/10 consistency, while October shows a dramatic shift with +16.69% average, 90% of months positive, and an exceptional 9/10 consistency score (blue). The Day-of-Week heatmap reveals Mondays averaging +0.40% with 54% positive days and 9/10 consistency (blue), while Thursdays show only +0.08% with 1/10 consistency (yellow). The investor uses this multi-layered analysis to develop a strategy: enter crypto positions on Thursdays during late September (combining the historically weak month with the less consistent weekday), then hold through October's historically strong period, considering exits on Mondays when intraweek strength has been most consistent. Example 3: Solana BINANCE:SOLUSDT - Extreme January Seasonality A cryptocurrency trader analyzing Solana observes an extraordinary January pattern: +59.57% average return with 60% of months positive and 8/10 consistency (teal), while May shows -9.75% average with only 33% of months positive and 6/10 consistency. August also displays strength at +59.50% average with 7/10 consistency. The Optimal Timing table confirms May as "Best Month to BUY" and January as "Best Month to SELL." The Day-of-Week data shows Sundays averaging +0.77% with 8/10 consistency (teal). The trader develops a seasonal rotation strategy: accumulate SOL positions during May weakness, hold through the historically strong January period (which has shown this extreme pattern with reasonable consistency), and specifically target Sunday exits when the weekday data shows the most recognizable strength pattern.
Indicatore Pine Script®
di QuantAlgo
2
ICT Anchored Market Structures with Validation [LuxAlgo]The ICT Anchored Market Structures with Validation indicator is an advanced iteration of the original Pure-Price-Action-Structures tool, designed for price action traders. It systematically tracks and validates key price action structures, distinguishing between true structural shifts/breaks and short-term sweeps to enhance trend and reversal analysis. The indicator automatically highlights structural points, confirms breakouts, identifies sweeps, and provides clear visual cues for short-term, intermediate-term, and long-term market structures. A distinctive feature of this indicator is its exclusive reliance on price patterns. It does not depend on any user-defined input, ensuring that its analysis remains robust, objective, and uninfluenced by user bias, making it an effective tool for understanding market dynamics. 🔶 USAGE Market structure is a cornerstone of price action analysis. This script automatically detects real-time market structures across short-term, intermediate-term, and long-term levels, simplifying trend analysis for traders. It assists in identifying both trend reversals and continuations with greater clarity. Market structure shifts and breaks help traders identify changes in trend direction. A shift signals a potential reversal, often occurring when a swing high or low is breached, suggesting a transition in trend. A break, on the other hand, confirms the continuation of an established trend, reinforcing the current direction. Recognizing these shifts and breaks allows traders to anticipate price movement with greater accuracy. It’s important to note that while a CHoCH may signal a potential trend reversal and a BoS suggests a continuation of the prevailing trend, neither guarantees a complete reversal or continuation. In some cases, CHoCH and BoS levels may act as liquidity zones or areas of consolidation rather than indicating a clear shift or continuation in market direction. The indicator’s validation component helps confirm whether the detected CHoCH and BoS are true breakouts or merely liquidity sweeps. 🔶 DETAILS 🔹 Market Structures Market structures are derived from price action analysis, focusing on identifying key levels and patterns in the market. Swing point detection, a fundamental concept in ICT trading methodologies and teachings, plays a central role in this approach. Swing points are automatically identified based exclusively on market movements, without requiring any user-defined input. 🔹 Utilizing Swing Points Swing points are not identified in real-time as they form. Short-term swing points may appear with a delay of up to one bar, while the identification of intermediate and long-term swing points is entirely dependent on subsequent market movements. Importantly, this detection process is not influenced by any user-defined input, relying solely on pure price action. As a result, swing points are generally not intended for real-time trading scenarios. Instead, traders often analyze historical swing points to understand market trends and identify potential entry and exit opportunities. By examining swing highs and lows, traders can: Recognize Trends: Swing highs and lows provide insight into trend direction. Higher swing highs and higher swing lows signify an uptrend, while lower swing highs and lower swing lows indicate a downtrend. Identify Support and Resistance Levels: Swing highs often act as resistance levels, referred to as Buyside Liquidity Levels in ICT terminology, while swing lows function as support levels, also known as Sellside Liquidity Levels. Traders can leverage these levels to plan their trade entries and exits. Spot Reversal Patterns: Swing points can form key reversal patterns, such as double tops or bottoms, head and shoulders, and triangles. Recognizing these patterns can indicate potential trend reversals, enabling traders to adjust their strategies effectively. Set Stop Loss and Take Profit Levels: In ICT teachings, swing levels represent price points with expected clusters of buy or sell orders. Traders can target these liquidity levels/pools for position accumulation or distribution, using swing points to define stop loss and take profit levels in their trades. Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions. 🔹 Logic of Validation The validation process in this script determines whether a detected market structure shift or break represents a confirmed breakout or a sweep. The breakout is confirmed when the close price is significantly outside the deviation range of the last detected structural price. This deviation range is defined by the 17-period Average True Range (ATR), which creates a buffer around the detected market structure shift or break. A sweep occurs when the price breaches the structural level within the deviation range but does not confirm a breakout. In this case, the label is updated to 'SWEEP.' A visual box is created to represent the price range where the breakout or sweep occurs. If the validation process continues, the box is updated. This box visually highlights the price range involved in a sweep, helping traders identify liquidity events on the chart. 🔶 SETTINGS The settings for Short-Term, Intermediate-Term, and Long-Term Structures are organized into groups, allowing users to customize swing points, market structures, and visual styles for each. 🔹 Structures Swings and Size: Enables or disables the display of swing highs and lows, assigns icons to represent the structures, and adjusts the size of the icons. Market Structures: Toggles the visibility of market structure lines. Market Structure Validation: Enable or disable validation to distinguish true breakouts from liquidity sweeps. Market Structure Labels: Displays or hides labels indicating the type of market structure. Line Style and Width: Allows customization of the style and width of the lines representing market structures. Swing and Line Colors: Provides options to adjust the colors of swing icons, market structure lines, and labels for better visualization. 🔶 RELATED SCRIPTS Pure-Price-Action-Structures. Market-Structures-(Intrabar).
Indicatore Pine Script®
di LuxAlgo
9
ILM Checklist [Nix]ILM Checklist and Ratings Indicator! This is a checklist type guide for those that trade the ILM model and are having trouble rating setups on their own. You can double click on the checklist to open its settings where you can select all the confluences you see on the chart while a setup is forming. Then the checklist will give you a mechanical estimate of what rating would Nix give it. Obviously discretion is important as an A+ mechanical setup if still an F setup if you are executing it during a news event. I have also added a dark / light mode theme toggle to suit your chart.
Indicatore Pine Script®
di Nix-Futures
LEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell RadarLEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell Radar One line summary LEGEND IsoPulse Fusion reads intent from price and volume together, learns which features matter most on your symbol, blends them into a single signed Fusion line in a stable unit range, and emits clear Buy Sell Close events with a structure gate and a liquidity safety gate so you act only when the tape is favorable. What this script is and why it exists Many traders keep separate windows for trend, volume, volatility, and regime filters. The result can feel fragmented. This script merges two complementary engines into one consistent view that is easy to read and simple to act on. LEGEND Tensor estimates directional quality from five causally computed features that are normalized for stationarity. The features are Flow, Tail Pressure with Volume Mix, Path Curvature, Streak Persistence, and Entropy Order. IsoPulse transforms raw volume into two decaying reservoirs for buy effort and sell effort using body location and wick geometry, then measures price travel per unit volume for efficiency, and detects volume bursts with a recency memory. Both engines are mapped into the same unit range and fused by a regime aware mixer. When the tape is orderly the mixer leans toward trend features. When the tape is messy but a true push appears in volume efficiency with bursts the mixer allows IsoPulse to speak louder. The outcome is a single Fusion line that lives in a familiar range with calm behavior in quiet periods and expressive pushes when energy concentrates. What makes it original and useful Two reservoir volume split . The script assigns a portion of the bar volume to up effort and down effort using body location and wick geometry together. Effort decays through time using a forgetting factor so memory is present without becoming sticky. Efficiency of move . Price travel per unit volume is often more informative than raw volume or raw range. The script normalizes both sides and centers the efficiency so it becomes signed fuel when multiplied by flow skew. Burst detection with recency memory . Percent rank of volume highlights bursts. An exponential memory of how recently bursts clustered converts isolated blips into useful context. Causal adaptive weighting . The LEGEND features do not receive static weights. The script learns, causally, which features have correlated with future returns on your symbol over a rolling window. Only positive contributions are allowed and weights are normalized for interpretability. Regime aware fusion . Entropy based order and persistence create a mixer that blends IsoPulse with LEGEND. You see a single line rather than two competing panels, which reduces decision conflict. How to read the screen in seconds Fusion area . The pane fills above and below zero with a soft gradient. Deeper fill means stronger conviction. The white Fusion line sits on top for precise crossings. Entry guides and exit guides . Two entry guides draw symmetrically at the active fused entry level. Two exit guides sit inside at a fraction of the entry. Think of them as an adaptive envelope. Letters . B prints once when the script flips from flat to long. S prints once when the script flips from flat to short. C prints when a held position ends on the appropriate side. T prints when the structure gate first opens. A prints when the liquidity safety flag first appears. Price bar paint . Bars tint green while long and red while short on the chart to mirror your virtual position. HUD . A compact dashboard in the corner shows Fusion, IsoPulse, LEGEND, active entry and exit levels, regime status, current virtual position, and the vacuum z value with its avoid threshold. What signals actually mean Buy . A Buy prints when the Fusion line crosses above the active entry level while gates are open and the previous state was flat. Sell . A Sell prints when the Fusion line crosses below the negative entry level while gates are open and the previous state was flat. Close . A Close prints when Fusion cools back inside the exit envelope or when an opposite cross would occur or when a gate forces a stop, and the previous state was a hold. Gates . The Trend gate requires sufficient entropy order or significant persistence. The Avoid gate uses a liquidity vacuum z score. Gates exist to protect you from weak tape and poor liquidity. Inputs and practical tuning Every input has a tooltip in the script. This section provides a concise reference that you can keep in mind while you work. Setup Core window . Controls statistics across features. Scalping often prefers the thirties or low fifties. Intraday often prefers the fifties to eighties. Swing often prefers the eighties to low hundreds. Smaller responds faster with more noise. Larger is calmer. Smoothing . Short EMA on noisy features. A small value catches micro shifts. A larger value reduces whipsaw. Fusion and thresholds Weight lookback . Sample size for weight learning. Use at least five times the horizon. Larger is slower and more confident. Smaller is nimble and more reactive. Weight horizon . How far ahead return is measured to assess feature value. Smaller favors quick reversion impulses. Larger favors continuation. Adaptive thresholds . Entry and exit levels from rolling percentiles of the absolute LEGEND score. This self scales across assets and timeframes. Entry percentile . Eighty selects the top quintile of pushes. Lower to seventy five for more signals. Raise for cleanliness. Exit percentile . Mid fifties keeps trades honest without overstaying. Sixty holds longer with wider give back. Order threshold . Minimum structure to trade. Zero point fifteen is a reasonable start. Lower to trade more. Raise to filter chop. Avoid if Vac z . Liquidity safety level. One point two five is a good default on liquid markets. Thin markets may prefer a slightly higher setting to avoid permanent avoid mode. IsoPulse Iso forgetting per bar . Memory for the two reservoirs. Values near zero point nine eight to zero point nine nine five work across many symbols. Wick weight in effort split . Balance between body location and wick geometry. Values near zero point three to zero point six capture useful behavior. Efficiency window . Travel per volume window. Lower for snappy symbols. Higher for stability. Burst percent rank window . Window for percent rank of volume. Around one hundred to three hundred covers most use cases. Burst recency half life . How long burst clusters matter. Lower for quick fades. Higher for cluster memory. IsoPulse gain . Pre compression gain before the atan mapping. Tune until the Fusion line lives inside a calm band most of the time with expressive spikes on true pushes. Continuation and Reversal guides . Visual rails for IsoPulse that help you sense continuation or exhaustion zones. They do not force events. Entry sensitivity and exit fraction Entry sensitivity . Loose multiplies the fused entry level by a smaller factor which prints more trades. Strict multiplies by a larger factor which selects fewer and cleaner trades. Balanced is neutral. Exit fraction . Exit level relative to the entry level in fused unit space. Values around one half to two thirds fit most symbols. Visuals and UX Columns and line . Use both to see context and precise crossings. If you present a very clean chart you can turn columns off and keep the line. HUD . Keep it on while you learn the script. It teaches you how the gates and thresholds respond to your market. Letters . B S C T A are informative and compact. For screenshots you can toggle them off. Debug triggers . Show raw crosses even when gates block entries. This is useful when you tune the gates. Turn them off for normal use. Quick start recipes Scalping one to five minutes Core window in the thirties to low fifties. Horizon around five to eight. Entry percentile around seventy five. Exit fraction around zero point five five. Order threshold around zero point one zero. Avoid level around one point three zero. Tune IsoPulse gain until normal Fusion sits inside a calm band and true squeezes push outside. Intraday five to thirty minutes Core window around fifty to eighty. Horizon around ten to twelve. Entry percentile around eighty. Exit fraction around zero point five five to zero point six zero. Order threshold around zero point one five. Avoid level around one point two five. Swing one hour to daily Core window around eighty to one hundred twenty. Horizon around twelve to twenty. Entry percentile around eighty to eighty five. Exit fraction around zero point six zero to zero point seven zero. Order threshold around zero point two zero. Avoid level around one point two zero. How to connect signals to your risk plan This is an indicator. You remain in control of orders and risk. Stops . A simple choice is an ATR multiple measured on your chart timeframe. Intraday often prefers one point two five to one point five ATR. Swing often prefers one point five to two ATR. Adjust to symbol behavior and personal risk tolerance. Exits . The script already prints a Close when Fusion cools inside the exit envelope. If you prefer targets you can mirror the entry envelope distance and convert that to points or percent in your own plan. Position size . Fixed fractional or fixed risk per trade remains a sound baseline. One percent or less per trade is a common starting point for testing. Sessions and news . Even with self scaling, some traders prefer to skip the first minutes after an open or scheduled news. Gate with your own session logic if needed. Limitations and honest notes No look ahead . The script is causal. The adaptive learner uses a shifted correlation, crosses are evaluated without peeking into the future, and no lookahead security calls are used. If you enable intrabar calculations a letter may appear then disappear before the close if the condition fails. This is normal for any cross based logic in real time. No performance promises . Markets change. This is a decision aid, not a prediction machine. It will not win every sequence and it cannot guarantee statistical outcomes. No dependence on other indicators . The chart should remain clean. You can add personal tools in private use but publications should keep the example chart readable. Standard candles only for public signals . Non standard chart types can change event timing and produce unrealistic sequences. Use regular candles for demonstrations and publications. Internal logic walkthrough LEGEND feature block Flow . Current return normalized by ATR then smoothed by a short EMA. This gives directional intent scaled to recent volatility. Tail pressure with volume mix . The relative sizes of upper and lower wicks inside the high to low range produce a tail asymmetry. A volume based mix can emphasize wick information when volume is meaningful. Path curvature . Second difference of close normalized by ATR and smoothed. This captures changes in impulse shape that can precede pushes or fades. Streak persistence . Up and down close streaks are counted and netted. The result is normalized for the window length to keep behavior stable across symbols. Entropy order . Shannon entropy of the probability of an up close. Lower entropy means more order. The value is oriented by Flow to preserve sign. Causal weights . Each feature becomes a z score. A shifted correlation against future returns over the horizon produces a positive weight per feature. Weights are normalized so they sum to one for clarity. The result is angle mapped into a compact unit. IsoPulse block Effort split . The script estimates up effort and down effort per bar using both body location and wick geometry. Effort is integrated through time into two reservoirs using a forgetting factor. Skew . The reservoir difference over the sum yields a stable skew in a known range. A short EMA smooths it. Efficiency . Move size divided by average volume produces travel per unit volume. Normalization and centering around zero produce a symmetric measure. Bursts and recency . Percent rank of volume highlights bursts. An exponential function of bars since last burst adds the notion of cluster memory. IsoPulse unit . Skew multiplied by centered efficiency then scaled by the burst factor produces the raw IsoPulse that is angle mapped into the unit range. Fusion and events Regime factor . Entropy order and streak persistence form a mixer. Low structure favors IsoPulse. Higher structure favors LEGEND. The blend is convex so it remains interpretable. Blended guides . Entry and exit guides are blended in the same way as the line so they stay consistent when regimes change. The envelope does not jump unexpectedly. Virtual position . The script maintains state. Buy and Sell require a cross while flat and gates open. Close requires an exit or force condition while holding. Letters print once at the state change. Disclosures This script and description are educational. They do not constitute investment advice. Markets involve risk. You are responsible for your own decisions and for compliance with local rules. The logic is causal and does not look ahead. Signals on non standard chart types can be misleading and are not recommended for publication. When you test a strategy wrapper, use realistic commission and slippage, moderate risk per trade, and enough trades to form a meaningful sample, then document those assumptions if you share results. Closing thoughts Clarity builds confidence. The Fusion line gives a single view of intent. The letters communicate action without clutter. The HUD confirms context at a glance. The gates protect you from weak tape and poor liquidity. Tune it to your instrument, observe it across regimes, and use it as a consistent lens rather than a prediction oracle. The goal is not to trade every wiggle. The goal is to pick your spots with a calm process and to stand aside when the tape is not inviting.
Indicatore Pine Script®
di exlux
Billionaire Gold ClubBillionaire Gold Club — Long-Term Gold Trend Follower Overview The Billionaire Gold Club indicator is designed for traders who follow the long-term bullish bias of Gold (XAU/USD). It focuses only on BUY opportunities and encourages patience during market pullbacks. The goal is to trade with the main trend, not against it. Instructions 1. The script automatically plots 7MA (fast) and 200MA (slow). 2. When 7MA crosses above 200MA, a BUY signal appears. 3. When 7MA crosses below 200MA, a Standby signal appears — do not sell, just wait for the next BUY. Usage Rules • Recommended timeframe: 15-minute or higher. • If used below 15 minutes, treat it as day trading — close trades within the same day. • Focus on long-term holding and small lot sizes to protect your capital. Signal Guide 🟢 BUY → Enter the trend direction. 🟠 Standby → Pause new entries and wait patiently. Alerts Set alerts to "Once per bar close": • BUY Signal → Golden Cross confirmed. • Standby Signal → Death Cross confirmed. Philosophy "Obey the rules, and your probability of success increases." This system rewards patience, discipline, and long-term trend following. Follow me for more TradingView scripts and updates. Billionaire Gold Clubは、ゴールド（XAU/USD）の長期上昇トレンドに沿って取引するためのインジケーターです。 基本的にBUYのみを狙い、デッドクロス時はStandby（待機）状態として次のBUYを待ちます。 推奨時間軸：15分足以上。 15分未満で使用する場合はデイトレードとして同日中にクローズすることを推奨します。 ロットを小さく保ち、長期保有で安定した運用を目指してください。
Indicatore Pine Script®
di hrak22
SMA 20/50/200 Strategy with TP/SLHere is a TradingView Pine Script indicator for the 20/50/200 SMA strategy. It generates Buy/Sell Signals and calculates Take Profit and Stop Loss prices for each signal. Features: Triggers only on the cross over/cross under bar (not continuous). Buy: 20 SMA crosses above 50 SMA and is above 200 SMA. Sell: 20 SMA crosses below 50 SMA and is below 200 SMA. Plots take profit and stop loss. Alerts repeat every cross over/cross under occurrence.
Indicatore Pine Script®
di NoScaredMoney
Tweezer & Kangaroo Zones [WavesUnchained]Tweezer & Kangaroo Zones Pattern Recognition with Supply/Demand Zones Indicator that detects tweezer and kangaroo tail (pin bar) reversal patterns and creates supply and demand zones. Includes volume validation, trend context, and confluence scoring. What You See on Your Chart Pattern Labels: "T" (Red) - Tweezer Top detected above price → Bearish reversal signal "T" (Green) - Tweezer Bottom detected below price → Bullish reversal signal "K" (Red) - Kangaroo Bear (Pin Bar rejection from top) → Bearish signal "K" (Green) - Kangaroo Bull (Pin Bar rejection from bottom) → Bullish signal Label Colors Indicate Pattern Strength: Dark Green/Red - Strong pattern (score ≥8.0) Medium Green/Red - Good pattern (score ≥6.0) Light Green/Red - Valid pattern (score <6.0) Zone Boxes: Red Boxes - Supply Zones (resistance, potential short areas) Green Boxes - Demand Zones (support, potential long areas) White Border - Active zone (fresh, not tested yet) Gray Border - Inactive zone (expired or invalidated) Pattern Detection Tweezer Patterns (Classic Double-Top/Bottom): Flexible Lookback - Detects patterns up to 3 bars apart (not just consecutive) Precision Matching - 0.2% level tolerance for high-quality signals Wick Similarity Check - Both candles must show similar rejection wicks Volume Validation - Second candle requires elevated volume (0.8x average) Pattern Strength Score - 0-1 quality rating based on level match + wick similarity Optional Trend Context - Can require trend alignment (default: OFF for more signals) Kangaroo Tail / Pin Bar Patterns: No Pivot Delay - Instant detection without waiting for pivot confirmation Body Position Check - Body must be at candle extremes (30% tolerance) Volume Spike - Rejection must occur with volume (0.9x average) Rejection Strength - Scores based on wick length (0.5-0.9 of range) Optional Trend Context - Bearish in uptrends, Bullish in downtrends (default: OFF) Zone Management Auto-Created Zones - Every valid pattern creates a supply/demand zone Overlap Prevention - Zones too close together (50% overlap) are not duplicated Lifetime Control - Zones expire after 400 bars (configurable) Smart Invalidation - Zones invalidate when price closes through them Styling Options - Choose between Solid, Dashed, or Dotted borders Border Width - 2px width for better visibility Confluence Scoring System Multi-factor confluence scoring (0-10 scale) with configurable weights: Regime (EMA+HTF) - Trend alignment across timeframes (Weight: 2.0) HTF Stack - Multi-timeframe trend confluence (Weight: 3.0) Structure - Higher lows / Lower highs confirmation (Weight: 1.0) Relative Volume - Volume surge validation (Weight: 1.0) Chop Advantage - Favorable market conditions (Weight: 1.0) Zone Thinness - Tight zones = better R/R (Weight: 1.0) Supertrend - Trend indicator alignment (Weight: 1.0) MOST - Moving Stop alignment (Weight: 1.0) Pattern Strength - Quality of detected pattern (Weight: 1.5) Zone Retest Signals Signals generated when zones are retested: BUY Signal - Price retests demand zone from above (score ≥4.5) SELL Signal - Price retests supply zone from below (score ≥5.5) Normalized Score - Displayed as 0-10 for easy interpretation Optional Trend Gate - Require trend alignment for signals (default: OFF) Alert Ready - Built-in alertconditions for automation Additional Features Auto-Threshold Tuning - Adapts to ATR and Choppiness automatically Session Profiles - Different settings for RTH vs ETH sessions Organized Settings - 15+ input groups for easy configuration Optional Panels - HTF Stack overview and performance metrics (default: OFF) Data Exports - Hidden plots for strategy/library integration RTA Health Monitoring - Built-in performance tracking Setup & Configuration Quick Start: 1. Apply indicator to any timeframe 2. Patterns and zones appear automatically 3. Adjust pattern detection sensitivity if needed 4. Configure zone styling (Solid/Dashed/Dotted) 5. Set up alerts for zone retests Key Settings to Adjust: Pattern Detection: • Min RelVolume: Lower = more signals (0.8 Tweezer, 0.9 Kangaroo) • Require trend context: Enable for stricter, higher-quality patterns • Check wick similarity: Ensures proper rejection structure Zone Management: • Zone lifetime: How long zones remain active (default: 400 bars) • Invalidate on close-through: Remove zones when price breaks through • Max overlap: Prevent duplicate zones (default: 50%) Scoring: • Min Score BUY/SELL: Higher = fewer but better signals (default: 4.5/5.5) • Component weights: Customize what factors matter most • Signals require trend gate: OFF = more signals, ON = higher quality Visual Customization Zone Colors - Light red/green with 85% transparency (non-intrusive) Border Styles - Solid, Dashed, or Dotted Label Intensity - Darker greens for better readability Clean Charts - All panels OFF by default Understanding the Zones Supply Zones (Red): Created from bearish patterns (Tweezer Tops, Kangaroo Bears). Price made a high attempt to push higher, but was rejected. These become resistance areas where sellers may step in again. Demand Zones (Green): Created from bullish patterns (Tweezer Bottoms, Kangaroo Bulls). Price made a low with strong rejection. These become support areas where buyers may step in again. Zone Quality Indicators: • White border = Fresh zone, not tested yet • Gray border = Zone expired or invalidated • Thin zones (tight range) = Better risk/reward ratio • Thick zones = Less precise, wider stop required Trading Applications Reversal Trading - Enter at pattern detection with tight stops Zone Retest Trading - Wait for retests of established zones Trend Confluence - Trade only when patterns align with trend Risk Management - Use zone boundaries for stop placement Target Setting - Opposite zones become profit targets Pro Tips Best signals occur when pattern + zone retest + trend all align Lower timeframes = more signals but more noise Higher timeframes = fewer but more reliable signals Start with default settings, adjust based on your market Combine with other analysis (structure, key levels, etc.) Use alerts to avoid staring at charts all day Important Notes Not all patterns will lead to successful trades Use proper risk management and position sizing Patterns work best in trending or range-bound markets Very choppy conditions may produce lower-quality signals Always confirm with your own analysis before trading Technical Specifications • Pine Script v6 • RTA-Core integration • RTA Core Library integration • Maximum 200 boxes, 500 labels • Auto-tuning based on ATR and Choppiness • Session-aware threshold adjustments • Memory-optimized zone management What's Included Tweezer Top/Bottom detection Kangaroo Tail / Pin Bar detection Automatic supply/demand zone creation Volume validation system Pattern strength scoring Zone retest signals Multi-factor confluence scoring Optional HTF Stack panel Optional performance metrics Session profile support Auto-threshold tuning Alert conditions Data exports for strategies Author Waves Unchained Version 1.0 Status Public Indicator Summary Reversal pattern detection with zone management, volume validation, and confluence scoring for tweezer and kangaroo tail patterns. --- Disclaimer: This indicator is for educational and informational purposes only. Trading involves risk. Past performance does not guarantee future results. Always practice proper risk management.
Indicatore Pine Script®
di WavesUnchained
PD Break Behavior AnalysisThe PD Break Behavior Analysis indicator tracks and classifies daily price action relative to the previous day's high (PDH) and low (PDL). It evaluates how often price: Breaks only the PDH (single upper breakout) Breaks only the PDL (single lower breakdown) Breaks both PDH and PDL (double breakout) Remains inside the previous day’s range (no break) Gaps and stays entirely above the previous day’s high (strong bullish gap) The indicator maintains rolling counts for the past: 50 trading days 100 trading days 300 trading days These statistics are displayed in a clear on-chart table, providing insight into market behavior over multiple timeframes.
Indicatore Pine Script®
di rosko1026
Sessions, Killzones & Macros🌟 A Very Special Thanks To ChatGPT and Copilot for helping me put this together 🙏💻✨ 🚀 Session Script Release by AnandaDivine KitBashed with love & light ✨ ⚠️ Disclaimer: I take no credit for the original scripts used in this compilation, nor any responsibility for how it's used. Modify and explore at your own discretion! 💡 Inspired by Legends: 📊 Sessions on the Chart – by Aurocks_AIF 🧠 ICT KillZones Macros – by TFlab 💧 Watermark FX – by AGFXTRADING 🎯 Features Included: 🕒 Sessions: 🕒 Asia 🕒 London 🕒 New York 🔫 KillZones: 🧬 CBDR (for those who use it) 🕒 Asia 🕒 London 🕒 New York 🧩 Macros: 🕰️ London 1 & 2 🌅 NY AM1, AM2, AM3 🍽️ NY Lunch 🌆 NY PM 🕛 NY Last Hour 💦 Watermark – Clean and minimal branding 🎨 Color Palette: Optimized for light theme users – crisp, clean, and easy on the eyes. 🔮 Future Features (if requested): 🧱 Dark theme support 🕯️ Candle coloring based on session zones 🧘 Philosophy: I kept it fast & light – no clutter, no bloat. Feel free to customize or extend it however you like. If you add something cool, please share it with me! 🙌 🧪 I tried adding day-of-week and separators, but it looked messy on higher timeframes. Maybe someone else can crack that cleanly.
Indicatore Pine Script®
di AnandaDivine
Session High/LowWhat it does: Plots the High and Low of three sessions—Asia (19:00–02:00), London (02:00–08:00), New York (09:30–16:00)—all in UTC-4. After a session closes, it draws a horizontal line starting at the bar where the level first formed, extends it live to the current bar, and shows a label at the line’s end. If price sweeps the level (by wick or close, configurable), the line stops at that bar. Settings: show/hide sessions, sweep on close toggle, how many past sessions to keep, line style/width, colors per session, and custom label text. Works on any timeframe. Note: session times are fixed to UTC-4 (adjust if your market uses DST).
Indicatore Pine Script®
di GapGleaner
Marin Andrei High/Low + Marubozu Reversal Signal (All Sessions)💥 High/Low + Marubozu Reversal Signal Turn liquidity sweeps into profit signals. This indicator detects when the market fakes out traders by breaking a key high or low — and then confirms a true reversal with a Marubozu candle (a full-body, no-wick momentum bar). 🎯 Perfect for: scalpers, SMC traders, and reversal hunters. 🟢 BUY: After a low sweep + bullish Marubozu 🔴 SELL: After a high sweep + bearish Marubozu ⚡ Works on all assets and sessions — no repaint, full confirmation on close Fine-tune power with the Max Wick % filter to capture only the strongest momentum candles. 🚀 When liquidity gets swept and a Marubozu forms… the reversal has begun.
Indicatore Pine Script®
di RG1200
Pump-Smart Shorting StrategyThis strategy is built to keep your portfolio hedged as much as possible while maximizing profitability. Shorts are opened after pumps cool off and on new highs (when safe), and closed quickly during strong upward moves or if stop loss/profit targets are hit. It uses visual overlays to clearly show when hedging is on, off, or blocked due to momentum, ensuring you’re protected in most market conditions but never short against the pump. Fast re-entry keeps the hedge active with minimal downtime. Pump Detection: RSI (Relative Strength Index): Calculated over a custom period (default 14 bars). If RSI rises above a threshold (default 70), the strategy considers the market to be in a pump (strong upward momentum). Volume Spike: The current volume is compared to a 20-bar simple moving average of volume. If it exceeds the average by 1.5× and price increases at least 5% in one bar, pump conditions are triggered. Price Jump: Measured by (close - close ) / close . A single-bar change > 5% helps confirm rapid momentum. Pump Zone (No Short): If any of these conditions is true, an orange or red background is shown and shorts are blocked. Cooldown and Re-Entry: Cooldown Detection: After the pump ends, RSI must fall below a set value (default ≤ 60), and either volume returns towards average or price momentum is less than half the original spike (oneBarUp <= pctUp/2). barsWait Parameter: You can specify a waiting period after cooldown before a short is allowed. Short Entry After Pump/Cooldown: When these cooldown conditions are met, and no short is active, a blue background is shown and a short position is opened at the next signal. New High Entry: Lookback New High: If the current high is greater than the highest high in the last N bars (default 20), and pump is NOT active, a short can be opened. Take Profit (TP) & Stop Loss (SL): Take Profit: Short is closed if price falls to a threshold below the entry (minProfitPerc, default 2%). Stop Loss: Short is closed if price rises to a threshold above the entry (stopLossPerc, default 6%). Preemptive Exit: Any time a pump is detected while a short position is open, the strategy closes the short immediately to avoid losses. Visual Feedback: Orange Background: Market is pumping, do not short. Red Background: Other conditions block shorts (cooldown or waiting). Blue Background: Shorts allowed. Triangles/Circles: Mark entries, pump start/end, for clear trading signals.
Strategia Pine Script®
di ValentinMihov
SMA 9/50/180 + EMA 20 + ORB + BUY/SELLSMA + EMA + ORB + Buy/Sell indicator step by step. 🧠 1️⃣ What the Indicator Does This TradingView script combines four systems in one: Component Purpose SMA 9 / 50 / 180 Shows short-, medium-, and long-term trend direction EMA 20 Gives quicker trend signals Buy/Sell Swing Logic Generates arrow signals based on breakout/reversal ORB (Opening Range Breakout) Marks high and low of the market’s first few minutes (e.g. 9:15–9:20) Together, it helps identify: The main market trend Entry/exit signals Early breakout zones for intraday trading 📊 2️⃣ Moving Averages (SMA & EMA) Indicator Meaning SMA 9 Tracks short-term price (fast signal) SMA 50 Tracks medium trend SMA 180 Long-term trend direction EMA 20 Gives quicker reactions than SMA (useful for early entries) How to use: When SMA9 > SMA50 > SMA180, trend = strong uptrend When SMA9 < SMA50 < SMA180, trend = strong downtrend So you trade in the same direction as the moving averages. 💡 3️⃣ Buy / Sell Swing Logic This part finds small swing breakouts: It checks the highest high and lowest low of the last few candles (default = 3). If price closes above the previous high → Buy Signal (Green Arrow) If price closes below the previous low → Sell Signal (Red Arrow) It also plots a Trailing Line (TSL) that flips color: 🟢 Green line → Uptrend (price above TSL) 🔴 Red line → Downtrend (price below TSL) Optional: You can color bars/background to match buy/sell zones. ⏰ 4️⃣ ORB – Opening Range Breakout Opening Range Breakout (ORB) marks the market’s first few minutes’ high and low (default 9:15–9:20). These two lines act as important breakout zones. If price breaks above ORB high → bullish momentum If price breaks below ORB low → bearish momentum Helps you trade early intraday moves confidently. 🧩 5️⃣ How to Use Together 🔼 Buy Setup SMA9 > SMA50 → uptrend Price near ORB High or above it Green “Buy” arrow appears ✅ Enter Buy position 🎯 Exit near resistance (previous swing high) 🔽 Sell Setup SMA9 < SMA50 → downtrend Price near ORB Low or below it Red “Sell” arrow appears ✅ Enter Sell position 🎯 Exit near next support ⚙️ 6️⃣ Customization You can adjust: SMA & EMA periods ORB session time (e.g. 9:15–9:30) Swing candle count Color options for background/bars ✅ 7️⃣ Why It’s Useful Benefit Description Multi-confirmation Combines trend + breakout + swing signals Intraday friendly ORB + fast MAs = perfect for 5–15 min charts Visual clarity Arrows, lines, and colors show direction clearly Alerts ready You get notifications when Buy/Sell triggers
Indicatore Pine Script®
di yuvarajvep