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Binary Options Signals Provider M1-H4 [TradingFinder]🔵 Introduction Binary Options trading is highly sensitive to timing, precision, and short-term price reactions. Unlike other trading styles, entries in binary markets must be executed at exact moments when price behavior, momentum, and liquidity conditions align within a very limited time window. This Screener is designed to generate Binary Options trading signals based on pure price action analysis, market structure, and liquidity behavior rather than lagging indicators. The signals are not random alerts; they are produced only when price reacts at critical decision points defined by supply and demand zones. The core logic focuses on how price behaves when it reaches areas of concentrated orders, where liquidity absorption or injection typically leads to fast directional moves. These reactions are evaluated through candlestick structure, momentum shifts, and false breakout behavior, which are essential for short-duration binary setups. By combining order blocks, Fair Value Gaps, imbalances, and breaker structures with strict candlestick confirmation, this indicator identifies high-probability Long and Short Binary Options signals suitable for short-term expirations across multiple timeframes. Rather than predicting the market, the indicator reacts to real-time order flow and liquidity interaction, making it a structured and disciplined tool for traders who rely on precise execution in Binary Options environments. Long Signal : Short Signal : 🔵 How to Use The first step is to identify valid structural zones such as order blocks, Fair Value Gaps, imbalances, or breaker structures. These zones represent areas where order flow has previously shown a strong directional response and where future reactions are likely to occur. Once a zone is identified, the indicator continuously monitors price behavior as it approaches and interacts with that area. A signal is generated only when price reaches a valid zone, liquidity behavior becomes evident, and a confirming candlestick structure forms in alignment with the expected direction. This approach ensures that Binary Options signals are issued only during moments of active market participation, where short-term directional moves have the highest probability of success. 🟣 Long Signal A Long Binary Options signal is generated when price reaches a validated demand zone, such as a bullish order block, an unfilled bullish Fair Value Gap, a lower-structure imbalance, or a bullish breaker. As price enters the demand area, the indicator evaluates whether sell-side liquidity is being absorbed. This is reflected through changes in candlestick structure and momentum behavior. Confirmation occurs when bullish price action patterns form, including structures such as : Pin Bars with long lower wicks Bullish Engulfing patterns Rejection candles False breakouts of local lows Short-term momentum continuation after liquidity sweep When these conditions align within or near the demand zone, the indicator issues a Long signal, indicating a high-probability bullish reaction suitable for Binary Options execution with short expirations. 🟣 Short Signal A Short Binary Options signal is generated when price reaches a validated supply zone, such as a bearish order block, a bearish Fair Value Gap, an upper-structure imbalance, or a bearish breaker. In these areas, price often collects buy-side liquidity above nearby highs before reversing. The indicator monitors this behavior and waits for clear bearish confirmation through candlestick structure and momentum shift. Bearish confirmation patterns include : Pin Bars with long upper wicks Bearish Engulfing patterns Rejection candles Indecision followed by strong bearish displacement False breakouts of local highs Once price confirms rejection or liquidity exhaustion within or near the supply zone, the indicator generates a Short signal, highlighting a short-term bearish opportunity optimized for Binary Options trading. 🔵 Settings Last Candle in Signal Direction: When On, a signal is issued only if the last candle moves in the direction required by the signal. Signal in Nearly Zone : When enabled, the signal becomes valid even if the candle is near the zone rather than strictly inside it. When disabled, only signals formed inside the zone are allowed. Table on Chart : This setting enables or disables the on chart screener table. When enabled, the table displays signal status, correlation information, and symbol data directly on the chart. When disabled, the chart remains clean with no table overlay. Number of Symbols : This option controls how many symbol pairs are displayed in the screener table. Users can choose between four or six pairs depending on screen size and personal preference. Table Size : This setting adjusts the visual scale of the screener table. Smaller sizes are suitable for minimal layouts, while larger sizes improve readability when monitoring multiple pairs simultaneously. Table Mode : This setting offers two layout styles for the signal table. Basic mode displays symbols in a single vertical column, using more vertical space and providing straightforward readability. Extended mode arranges symbols in pairs side by side, optimizing screen space with a more compact and efficient layout. Table Position : This option defines where the screener table is placed on the chart. The table can be positioned in any corner or central area to avoid overlapping with price action or other indicators. 🔵 Conclusion Binary Options trading requires precise timing, disciplined execution, and a clear understanding of short-term market behavior. This indicator is built on the principle that high-quality binary signals emerge not from prediction, but from real-time price reactions at key liquidity zones. By combining supply and demand analysis with structural elements such as order blocks, Fair Value Gaps, imbalances, and breaker structures, the indicator filters out random price movements and focuses only on moments when the market is actively responding to order flow. Signals are generated exclusively when price reaches a validated zone, liquidity behavior becomes evident, and a confirming candlestick forms at the correct location. This structured process helps reduce emotional or impulsive entries and maintains consistency in execution. Rather than acting as a standalone decision-maker, the indicator functions as a confirmation and timing tool, assisting traders in identifying high-probability Long and Short Binary Options setups across multiple timeframes while remaining aligned with the underlying mechanics of price and liquidity.
Indicador Pine Script®
por TFlab
AI Academy: Volume k-NN [PhenLabs]📊 AI Academy: Volume k-NN Version: PineScript™ v6 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 Description AI Academy: Volume k-NN (Theory Edition) is an educational indicator designed to demystify how artificial intelligence pattern recognition works directly on your TradingView charts. Rather than being a black-box signal generator, this tool visualizes the entire k-Nearest Neighbors algorithm process in real-time, showing you exactly how AI identifies similar historical patterns and generates predictions. The indicator scans up to 2,000 historical bars to find patterns that match your current price action, then uses an ensemble of the closest matches to project potential future movement. What sets this apart is the integrated “AI Grimoire”—an interactive educational book overlay that teaches core machine learning concepts through four illuminating chapters. Whether you’re a trader curious about AI methodology or a developer learning algorithmic concepts, this indicator transforms abstract machine learning theory into tangible, visual understanding. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 Points of Innovation • First TradingView indicator to visualize k-NN algorithm execution in real-time with full transparency • Interactive “AI Grimoire” educational overlay teaches machine learning concepts while you trade • Dual-mode pattern matching combines price action with optional volume confirmation • Confidence-based opacity system visually communicates prediction reliability • Historical match visualization shows exactly which past patterns informed the prediction • Ghost bar projections display averaged ensemble predictions with adjustable forecast horizons ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 Core Components • Pattern Capture Engine: Converts recent price action into logarithmic returns for normalized comparison across different price levels • k-NN Search Algorithm: Calculates Euclidean distance between current pattern and historical patterns to find closest matches • Volume Weighting System: Optional feature that incorporates volume patterns into distance calculations with adjustable influence • Ensemble Predictor: Averages future returns from k-nearest historical matches to generate consensus forecast • Confidence Calculator: Measures average distance of top matches to determine prediction reliability on 0-100% scale • AI Grimoire Display: Table-based educational overlay rendering book-style content with chapter navigation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔥 Key Features • Adjustable Pattern Length: Define how many bars constitute the current pattern for matching (5-100 bars) • Configurable Search Depth: Control how far back the algorithm searches for historical matches (500-4,900 bars) • Flexible k-Neighbors: Select how many closest matches inform the prediction (1-20 neighbors) • Volume Toggle: Enable or disable volume pattern matching for different market conditions • Volume Influence Slider: Fine-tune the weight given to volume vs. price patterns (0-100%) • Ghost Bar Count: Adjust how many future bars the indicator projects (3-15 bars) • Minimum Confidence Filter: Set threshold to hide low-confidence predictions • Historical Match Display: Toggle visibility of colored boxes marking source patterns ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎨 Visualization • Blue Scanner Box: Highlights current pattern being analyzed labeled “AI INPUT (The Prompt)” • Green Historical Boxes: Mark past patterns where price subsequently moved bullish • Red Historical Boxes: Mark past patterns where price subsequently moved bearish • Ghost Bars: Semi-transparent candles projecting into the future showing predicted price path • Confidence Label: Displays prediction confidence percentage and number of matches used • AI Grimoire Book: Leather-bound book overlay in top-right corner with navigable chapters ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📖 Usage Guidelines Algorithm Settings • Pattern Length — Default: 20 | Range: 5-100 | Controls how many recent bars define the pattern. Shorter values find more matches but less specific. Longer values find fewer but more precise matches. • Search Depth — Default: 2000 | Range: 500-4900 | Determines how many historical bars to scan. Higher values find more potential matches but increase computation time. • k-Neighbors — Default: 5 | Range: 1-20 | Number of closest matches to use for prediction. Higher values smooth predictions but may dilute strong signals. • Ghost Bar Count — Default: 5 | Range: 3-15 | How many future bars to project. Shorter horizons are typically more reliable. • Use Volume Matching — Default: Off | When enabled, patterns must match on both price AND volume characteristics. • Volume Influence — Default: 30% | Range: 0-100% | Weight given to volume pattern when volume matching is enabled. Visualization Settings • Bullish/Bearish Match Colors — Customize colors for historical match boxes based on outcome direction. • Min Confidence % — Default: 60 | Predictions below this threshold will not display. • Show Historical Matches — Default: On | Toggle visibility of source pattern boxes on chart. Education Settings • Select Chapter — Navigate through AI Grimoire chapters or keep book closed for clean chart view. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Best Use Cases • Learning how k-Nearest Neighbors algorithm functions in a trading context • Understanding the relationship between historical patterns and forward predictions • Identifying when current market conditions resemble past scenarios • Supplementing discretionary analysis with pattern-based confluence • Teaching others machine learning concepts through visual demonstration • Validating whether volume confirms price pattern formations • Building intuition for what AI “sees” when analyzing charts ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Limitations • Past pattern similarity does not guarantee future outcome similarity • Requires sufficient historical data (minimum 500+ bars) to function properly • Computation-intensive on lower timeframes with maximum search depth • Cannot predict truly novel “black swan” events not represented in historical data • Volume matching less effective on assets with inconsistent volume reporting • Predictions become less reliable as forecast horizon extends further out • Educational overlay may obstruct chart view on smaller screens ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 What Makes This Unique • Full Transparency: Unlike black-box AI tools, every step of the algorithm is visualized on your chart • Integrated Education: The AI Grimoire teaches machine learning concepts without leaving TradingView • Theory Meets Practice: See exactly which historical patterns inform each prediction • Honest Uncertainty: Confidence scoring and opacity fading acknowledge when the AI “doesn’t know” • Dual-Mode Analysis: Optional volume weighting adds institutional-quality analysis dimension ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 How It Works 1. Pattern Capture: On each bar, the indicator captures the most recent price changes as logarithmic returns, creating a normalized “fingerprint” of current market behavior. If volume matching is enabled, volume changes are captured similarly. 2. Historical Search: The algorithm iterates through up to 2,000 historical bars, calculating the Euclidean distance between the current pattern fingerprint and each historical pattern. Distance combines price similarity and optional volume similarity based on weight settings. 3. Neighbor Selection: All historical patterns are ranked by similarity (lowest distance = most similar). The k-closest matches are selected as the “ensemble council” that will inform the prediction. 4. Confidence Calculation: Average distance of top-k matches determines confidence. Tighter clustering of similar patterns yields higher confidence scores, while scattered or distant matches produce lower confidence. 5. Prediction Generation: Future returns from each historical match (what happened AFTER those patterns) are averaged together. This ensemble average is applied to current price to generate ghost bar projections. 6. Visualization: Historical match locations are marked with colored boxes (green for bullish outcomes, red for bearish). Ghost bars render with opacity tied to confidence level—higher confidence means more solid bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 Note: This indicator is designed primarily for educational purposes —to help traders understand how AI pattern recognition algorithms function. While the predictions can supplement your analysis, they should never be used as the sole basis for trading decisions. The AI Grimoire chapters explain key concepts including why AI “hallucinates” during unprecedented market events. Always combine with proper risk management and additional confirmation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Indicador Pine Script®
por PhenLabs
Apex Wallet - Real-Time Market Volume Delta & Order FlowOverview The Apex Wallet Market Volume Delta is a professional liquidity analysis tool designed to decode the internal structure of market volume. Unlike standard volume bars, this script calculates the "Delta"—the net difference between buying and selling pressure—to reveal the true conviction of market participants in real-time. Dynamic Multi-Mode Intelligence This indicator features an adaptive calculation engine that recalibrates its internal logic based on your trading style: Scalping: Fast-response settings (9-period MA) for immediate execution on low timeframes. Day-Trading: Balanced settings (26-period MA) optimized for intraday sessions. Swing-Trading: High-filter settings (52-period MA) for major trend confirmation. Advanced Order Flow Detection Real-Time Delta Calculation: Tracks the precise interaction between price and volume to identify aggressive buyers vs. passive sellers. Dual Calculation Modes: Choose between "Buy/Sell" (aggressive) or "Buy/Sell/Neutral" for a more granular view of flat market periods. Visual Delta Labels: Displays the net volume values directly above each bar, with color-coded alerts (Green for Bullish Delta, Red for Bearish Delta). Scalable UI: Features a "Scale Down Factor" to simplify large volume numbers into readable units (10/100/1k/10k). Key Features: Visual Split: Clearly differentiates historical volume from real-time buying and selling flows. Trend Confirmation: Integrated optional EMA to compare current volume surges against the average market liquidity. Clean Interface: Professional-grade histogram styling with clear demarcation of session activity.
Indicador Pine Script®
por Apex-Wallet
Apex Wallet - Bitcoin Halving Cycle & Profit ProjectionOverview The Apex Wallet Bitcoin Halving Cycle Profit is a strategic macro-analysis tool designed for Bitcoin investors and long-term holders. It provides a visual framework of Bitcoin's 4-year cycles by identifying past halving dates and projecting future ones automatically. The script highlights key accumulation and profit-taking windows based on historical cycle performance. Dynamic Cycle Intelligence Halving Milestones: Automatically detects and marks all major halving events (2012, 2016, 2020, 2024) with precise timestamps. Predictive Projections: Using an estimated 1,460-day cycle, the script projects up to 30 future halving events to help plan long-term investment horizons. Timeframe Optimization: Built specifically for Weekly (W) and Monthly (M) charts to provide a clean, high-level perspective of market structure. Key Strategy Visuals Profit Windows: Visualizes "Start" and "End" profit zones with automated vertical lines and color-coded labels based on user-defined offsets from the halving. DCA Chain Signals: Identifies strategic Dollar Cost Averaging (DCA) points throughout the cycle to assist in disciplined accumulation. Heatmap Shading: Features dynamic background shading that intensifies as the cycle progresses toward historical peak performance periods. How to Use: Switch to a Weekly or Monthly Bitcoin chart. Use the Green Labels (Profit START) to identify early cycle strength. Monitor the Red Labels (Profit END) for historical cycle exhaustion zones.
Indicador Pine Script®
por Apex-Wallet
Poseidon Trail [ReiConcept]🔱 POSEIDON TRAIL - Premium Multi-Timeframe Trading System ═══════════════════════════════════════ 🎯 FEATURES ✅ Multi-Timeframe BSI Algorithm (4 TF + optional Booster) ✅ Instant Trail Stop from entry ✅ Automatic asset detection with adaptive parameters ✅ Advanced backtest with dates (first trade, drawdown, streaks) ✅ Session alerts (30 min warning before end) ✅ Visual $100 risk scale ✅ Heiken Ashi warning system ✅ Anti-repaint guaranteed ═══════════════════════════════════════ 📊 HOW IT WORKS The indicator analyzes confluence across multiple timeframes: 🟢🟢🟢🟢 = LONG Signal (Buy) 🔴🔴🔴🔴 = SHORT Signal (Sell) Instant trailing stop activates from entry to protect your capital. ═══════════════════════════════════════ 📈 BACKTESTED RESULTS - Gold H4: 627 trades | 75.3% winrate - EUR/USD M15: 465 trades | 83.2% winrate - EUR/USD D1: 371 trades | 78.2% winrate ═══════════════════════════════════════ ⚙️ MAIN SETTINGS - SL $ Base: Your risk in dollars (auto-adjusted by TF) - Trail %: Trailing stop percentage (auto per asset) - Booster: Enables 5th timeframe for precision - Session: Trading hours with alerts ═══════════════════════════════════════ 🔒 ACCESS ⚠️ LIMITED TO 200 LICENSES Premium invite-only indicator ▶️ Contact: rei@reiconcept.fr 🌐 Website: reiconcept.fr ═══════════════════════════════════════ © ReiConcept 2026 - All rights reserved
Indicador Pine Script®
por ReiConcept
Dynamic Ladder Leverage AllocatorOverview This indicator is designed for long-term investors who utilize a "Dual Engine" portfolio strategy—mixing a Safe Asset (e.g., VOO, QQQ) with a Leveraged Risk Asset (e.g., UPRO, TQQQ). The Ladder Leverage Allocator mathematically calculates the optimal risk exposure based on market drawdowns. Instead of guessing when to "buy the dip," this script provides a systematic, step-by-step roadmap to increasing leverage as the market falls, and decreasing leverage (taking profits) as the market recovers. How It Works The strategy is based on a "Sticky All-Time High" logic. It tracks the highest close price and calculates the current drawdown percentage. Fair Weather (Base Mode): When the market is near highs, the indicator suggests a conservative "Base Leverage" (e.g., 25% or 35%). The Ladder Down (Risk On): For every defined step the market drops (e.g., every -5%), the indicator signals a "RISK UP" alert, increasing your target allocation to the leveraged asset. This forces you to buy low aggressively. The Cap: The script includes a hard "Max Leverage Cap" (default 80%) to prevent total account exposure during catastrophic crashes. The Recovery Reset (Risk Off): Unlike simple rebalancing, this script waits for a confirmed bounce (Recovery Trigger). Once the market recovers by a set percentage from the bottom, it signals a "RESET," telling you to return to Base Leverage. This effectively locks in the profits from the dip-buying phase. Key Features Sticky ATH Tracking: Automatically tracks the true drawdown from the cycle peak. Customizable Ladder Steps: Define your own Drop % (Trigger) and Risk Increase %. Bar Confirmation: Option to wait for the Daily Close to prevent intraday "fake-out" alerts. Visual Dashboard: A clean table in the bottom-right corner displays the current Stage, Drawdown, and Target Allocation. Automated Alerts: Built-in alerts for "Risk On" and "Risk Off" events, ready for automation. How to Use Add this indicator to a Daily (1D) chart for your underlying index (e.g., VOO for the S&P 500, QQQ for the Nasdaq). Configure Inputs: Base Leverage: Your standard allocation to the 3x ETF (e.g., 25%). Drop Step: How much the market must fall to trigger a rebalance (e.g., 5%). Max Cap: The maximum risk you are willing to take (e.g., 80%). Set Alerts: Create an alert using the "Once Per Bar Close" setting. Risk Up: Increase your 3x ETF position. Reset: Decrease your 3x ETF position (sell/profit). Disclaimer This script is for informational and educational purposes only. Trading leveraged ETFs (3x) involves significant risk and is not suitable for all investors. Past performance of a ladder strategy does not guarantee future results.
Indicador Pine Script®
por Xer0
BUILDERThe Frequency (%) tells you the historical probability of the price range exceeding that specific volatility level. Here is exactly what it calculates: ADR Frequency: "Over the last 365 days, how often (what % of days) did the daily range exceed the current ADR?" ADR x3 Frequency: "How often did the price move 3 times the normal daily range?" (This happens very rarely, usually <1% of the time, so if you see a price at ADR x3 layers, it's an extreme outlier). AWR Frequency: Same logic, but looking at the last 52 weeks. How to use it: High % (e.g. 50%+): Means this level is hit very often. Passing this level is "normal" behavior. Low % (e.g. 5%): Means price rarely extends this far. If price reaches this level, it is statistically overextended and a reversal is more likely. 0%: Means this level of volatility has effectively never happened in the lookback period (or extremely rarely). It basically answers: "Is today's move normal, or is it a rare statistical event?"
Indicador Pine Script®
por gibbonzdunski
10 Youtube Opening Range Strategies + Backtest 1. Quick Flip Scalper A strategy centered on fading or following the initial move relative to the Opening Range (OR). LONG Rules: Reversal Mode: If the Opening Range is Bearish (Red), enter Long when price drops below the Opening Range Low (ORL). Continuity Mode: If the Opening Range is Bullish (Green), enter Long when price drops below the Opening Range Low (ORL) (Buying the deep pullback/trap). SHORT Rules: Reversal Mode: If the Opening Range is Bullish (Green), enter Short when price breaks above the Opening Range High (ORH). Continuity Mode: If the Opening Range is Bearish (Red), enter Short when price breaks above the Opening Range High (ORH) (Selling the deep pullback/trap). 2. First Candle Scalper Identical to the Quick Flip Scalper but restricts entries to the very first retest only. LONG Rules: Same as Quick Flip Long, but only triggers once per session. SHORT Rules: Same as Quick Flip Short, but only triggers once per session. 3. Smart Money Trap (SMT) Identifies a "fakeout" breakout followed immediately by a reversal candlestick pattern. LONG Rules: Condition: The previous candle low was below the ORL, but the candle closed back inside (above ORL). Trigger: Must have a Bullish Engulfing or Bullish Rejection pattern closing above the ORL. SHORT Rules: Condition: The previous candle high was above the ORH, but the candle closed back inside (below ORH). Trigger: Must have a Bearish Engulfing or Bearish Rejection pattern closing below the ORH. 4. Trident Pattern (TG Capital) A London-session exclusive strategy requiring a Fair Value Gap (FVG) and a Doji confirmation. LONG Rules: Filter: Price is Above the 200 EMA (if enabled). Setup: A Bullish FVG forms. Confirmation: A Doji candle wicks down into the 50% level of the FVG. Trigger: Enter on the next candle close. SHORT Rules: Filter: Price is Below the 200 EMA (if enabled). Setup: A Bearish FVG forms. Confirmation: A Doji candle wicks up into the 50% level of the FVG. Trigger: Enter on the next candle close. 5. OTE Framework (MBB Trader) Simulates an Optimal Trade Entry by combining a Liquidity Sweep with a Market Structure Shift (SMR). LONG Rules: Sweep: Price drops below the lowest low of the last 20 candles. Structure: A Bullish SMR forms (Low → High → Lower Low → Higher High). SHORT Rules: Sweep: Price breaks above the highest high of the last 20 candles. Structure: A Bearish SMR forms (High → Low → Higher High → Lower Low). 6. Liquidity Trap (Marco Trades) A contrarian strategy that buys/sells purely on sweeps of major structural levels. LONG Rules: Trigger: Price sweeps (drops below) the lowest low of the last 50 candles. SHORT Rules: Trigger: Price sweeps (breaks above) the highest high of the last 50 candles. 7. Trojan Horse (Trader Mayne) Uses Trend EMAs (50 & 200) to identify direction, then enters on a Lower Timeframe Breaker. LONG Rules: Trend: 50 EMA > 200 EMA (Uptrend). Trigger: Price sweeps a recent 10-candle low, then immediately breaks a recent 5-candle high. SHORT Rules: Trend: 50 EMA < 200 EMA (Downtrend). Trigger: Price sweeps a recent 10-candle high, then immediately breaks a recent 5-candle low. 8. Simplified SMT (9:30 Range) Focuses on the 9:30 AM range. Waits for a breakout and a confirmed failure to sustain it. LONG Rules: Context: Price previously broke above the ORH. Trigger: Price returns to the ORH (Retest) with a Bullish Engulfing/Rejection pattern. SHORT Rules: Context: Price previously broke below the ORL. Trigger: Price returns to the ORL (Retest) with a Bearish Engulfing/Rejection pattern. 9. 9:30 One-Candle (Scarface) Uses the high/low of the single 9:30 candle as the range. LONG Rules: Setup: Price closes above the 9:30 High. Trigger: Price pulls back and touches/dips into the 9:30 High (Retest). SHORT Rules: Setup: Price closes below the 9:30 Low. Trigger: Price pulls back and touches/wicks into the 9:30 Low (Retest). 10. London Breakout (Joovier) Based on the 3 AM - 9 AM EST box. LONG Rules: Trigger: A candle's Body (Open and Close) forms completely above the Box High after the session opens. SHORT Rules: Trigger: A candle's Body (Open and Close) forms completely below the Box Low after the session opens. ⚠️ DISCLAIMER & LIMITATION OF LIABILITY 1. NO AFFILIATION / INDEPENDENT PROJECT This script is an independent coding project created solely for testing, research, and entertainment purposes. The creator of this indicator is not associated, affiliated, endorsed by, or in any way connected to the strategy authors or influencers mentioned within the tool (including but not limited to TG Capital, MBB Trader, Marco Trades, Trader Mayne, Scarface, or Joovier). The strategy names are used strictly for identification purposes to credit the original concept creators. This code represents an independent interpretation of public trading concepts. It may not reflect the exact, proprietary, or private methods taught by these individuals. This is not an official product from any of the aforementioned parties. 2. FOR EDUCATIONAL PURPOSES ONLY This indicator is strictly for educational and informational purposes. It is not a signal service and does not constitute investment, financial, or trading advice. The buy/sell labels generated by this script are merely visual representations of specific code logic and should not be interpreted as instructions to execute trades. 3. EXCLUSION OF LIABILITY By using this script, you explicitly agree that: The creator assumes no responsibility or liability for any direct, indirect, consequential, or incidental losses or damages resulting from the use of this tool. You engage in trading entirely at your own risk. You release the creator from any legal responsibility regarding your trading activities or financial results. 4. HYPOTHETICAL PERFORMANCE The statistics displayed on the "Dashboard" (Win Rate, P&L, etc.) are hypothetical and based on historical backtesting data. Past performance is not indicative of future results. These results do not account for slippage, spreads, commission fees, or real-time liquidity issues. Strategies that performed well in the past may fail in current or future market conditions. 5. HIGH-RISK WARNING Trading in financial markets (Stocks, Forex, Crypto, Futures) involves a high degree of risk and is not suitable for all investors. You could lose some or all of your initial investment. You should not trade with money that you cannot afford to lose. IF YOU DO NOT AGREE WITH THESE TERMS, DO NOT USE THIS SCRIPT.
Indicador Pine Script®
por MaxMaserati
3
SHFE vs COMEX Silver USD Spread (FX Adjusted)This indicator converts Shanghai Futures Exchange silver pricing (CNY per kilogram) into U.S. dollars per troy ounce using the live USD/CNY exchange rate. It compares the FX-adjusted Shanghai price with COMEX silver futures pricing and displays: • Shanghai silver (converted to USD/oz) • COMEX silver (USD/oz) • The spread between the two markets (Shanghai − COMEX) The tool helps visualize cross-market pricing differences and how currency movements influence silver valuation between Chinese and U.S. futures markets. This is an analytical comparison tool and does not provide trading signals. Notes: • Requires access to SHFE and COMEX futures data on TradingView • Uses USDCNY from the current chart (or selected FX symbol) • Spread values are calculated mechanically from price and FX conversion
Indicador Pine Script®
por jackjweddle
Market State Tracker🙏🏻 This is MST (Market State Tracker) , it’s main purpose is to tell whether it's better to take a predefined take-profit, or to expect a runner. Unlike widely-known alternatives, this model is made with top state-space and innovation modelling tech, and it takes the necessary info ‘itself’ (not the derivatives) from the right places. In fancy terms it’s not even a model, it’s an ensemble of several models. If you want to get familiar with other work of mine like this, check UAT . ^^ compared with reverse-engineered Jurik Moving Average in moving window mode … Main use case : take-profit engine. It tells whether to hold a position past its primary 1:1 Risk:Reward take-profit up to the opposite entry), or to close it right away at 1:1. Alternative use case : market state operator. Alternatively the study can be used as a primary market-state operator that would actually define further strategies and actions. It’s very useful if your strategies are not market regime agnostic. Otherwise, use it only as the main use case tells. Other use cases : anything that other mainstream studies are doing, but better* (proceed to the Tech Note in the end of the post): trend detection, price smoothing, crossovers, dynamic S&R etc. … How to use: The script has 2 studies, lower study (blue and red lines) and upper study (purple and gray lines). ... Lower study is less variance & more bias option , in general it’s less preferred than upper study, but if none of your other system layers do not gauge directional info directly and you wanna keep it simply this way, this lower study is what you need. Lower study states -> advised take-profit strategy: When: negative gamma (red line) is above positive gamma (blue line), market is biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward When: positive gamma (blue line) is above negative gamma (red line), market is biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward ... Upper study is the preferred one in general because of its higher informational content. Most probably, if you’re already gaining directional info on your other system layers, this one will likely provide you information you don’t gain there. Here the purple line is the lead state estimate, and the gray line is the lagged state estimate, and current price = current bar POC or HLC3 (inferred POC). Upper study states -> advised take-profit strategy: When: current price > purple line > gray line, market is heavily biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward When: current price < purple line < gray line, market is heavily biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward When: purple line > gray line > current price, market is biased towards another buy wave, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward When: purple line < gray line < current price, market is biased towards another sell wave, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward All other price x purple line x gray line patterns are considered neutral, and both longs and shorts are done with minimal 1:1 Risk:Reward. Important: if you trade based on current session activity, you have to track current states. If you trade based on previous session levels, you only need the last state of that session that originated the level. Important 2: The script has a setting called “blend”. The differences between all 3 options provided there are extremely low, and moreover it doesn’t change the main part: location of crossovers. So I left it here because I genuinely don’t know yet which of these is the most primordial math option for the current context xd. ... * now about this: Tech note In short: it gains all the information without touching artifacts with the best possible math that runs on O(1) time complexity. The ‘final’ time complexity of the whole method is O(1), both in moving and expanding window modes. The main short-term forecasting & innovations engine, I called it VAPM (Volume Acceleration Price Model) , is inspired by how prediction and NaN fills works on the lowest hardware level, processor cache etc. It’s based on splines , the most fundamental geometrical principles. This is the stuff you can run on FPGAs doing UHFT, not even HFT. Based on lead/lag and negative/positive relationships with the VAPM forecasts, innovations are separated into 4 different streams. Each stream of these 4 then discovers its own adaptive gain (limited by theoretical constraints of the exponential distribution each stream follows). Then, 4 separate PVA (Position Velocity Acceleration) state-space models are run on POC estimate of each bar, using previously computed 4 different adaptive gains. Initial impulse response of the models was almost exactly matched with the Extended Beta(2, 2) Window, provided in UAT open access script (heck the code & description, it would worth it). Then these 4 separate trackers are grouped pairwise and blended into 2, resulting in the lead/lag model. Additionally, 4 adaptive gains are blended into 2 separate pos/neg models. I offer 3 blending options: max(), contraharmonic mean, and Log-Sum-Exp. The differences of outputs based on these 3 options are almost negligible. All possible hidden issues like info leakage from previous finished expanding windows, or special cases of forecasts at the very few first datapoints, are taken into account and solved. The whole method has zero constants and zero pre-optimized or arbitrary values, everything based on fundamental math entities / objects. … ∞
Indicador Pine Script®
por gorx1
StO Price Action - Bank Timings [Demo]Short Summary - Visualizes market activity intensity based on historical price movement data (Oanda, M5) - Highlights zones where price moves most frequently across market times - Lvl 0 marks the highest intensity areas - Includes experimental projection into future bars - Supported markets: XAU/USD (Gold), EUR/USD (EU) with Lvl 0 & 1 Demo Restrictions - Timeframe dropdown selections are limited - Line style dropdown selections are limited - Multi-timeframe functionality is removed or restricted - Alerts are disabled or completely removed - No code logic runs behind disabled GUI elements Full Description Overview - Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.) - Identifies time zones with the highest concentration of price activity - Designed to show when markets are statistically more active - Supported are three limited marks Intensity Levels - Lvl 0 represents the highest concentration of price movement - Lvl 1 shows strong but slightly reduced activity - Lvl 2 marks moderate recurring activity - Lvl 3 highlights lower but still relevant activity zones - Each level can be enabled or disabled independently Visualization - Intensity levels are visualized using colored bars or markers - Stronger intensity levels use more prominent coloring - Works across different symbols and markets Future Bars Projection - Experimental feature to project intensity into future bars - Helps anticipate periods of increased market activity - Projection is time-based (vertical bars), not price-based - Best suited for timeframes below H1 Future Shift Control - Allows shifting projected intensity forward or backward in time - Shift values are defined in hours (sometimes needed) - Useful for session alignment and market timing Notes - Indicator is based on historical statistical aggregation - No prediction of direction, only activity intensity - Experimental future projection may vary by market - Best used as a contextual timing tool
Indicador Pine Script®
por sto_svc
StO Price Action - Bank Timings [Light]Short Summary - Visualizes market activity intensity based on historical price movement data (Oanda, M5) - Highlights zones where price moves most frequently across market times - Lvl 0 marks the highest intensity areas - Includes experimental projection into future bars - Supported markets: XAU/USD (Gold), XAG/USD (Silver) EUR/USD (EU), BTC (Bitcoin) with Lvl 0 & 1 Light Restrictions - Timeframe dropdown selections are limited - Line style dropdown selections are limited - Multi-timeframe functionality is removed or restricted - Alerts are disabled or completely removed - No code logic runs behind disabled GUI elements Full Description Overview - Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.) - Identifies time zones with the highest concentration of price activity - Designed to show when markets are statistically more active Intensity Levels - Lvl 0 represents the highest concentration of price movement - Lvl 1 shows strong but slightly reduced activity - Lvl 2 marks moderate recurring activity - Lvl 3 highlights lower but still relevant activity zones - Each level can be enabled or disabled independently Visualization - Intensity levels are visualized using colored bars or markers - Stronger intensity levels use more prominent coloring - Works across different symbols and markets Future Bars Projection - Experimental feature to project intensity into future bars - Helps anticipate periods of increased market activity - Projection is time-based (vertical bars), not price-based - Best suited for timeframes below H1 Future Shift Control - Allows shifting projected intensity forward or backward in time - Shift values are defined in hours (sometimes needed) - Useful for session alignment and market timing Notes - Indicator is based on historical statistical aggregation - No prediction of direction, only activity intensity - Experimental future projection may vary by market - Best used as a contextual timing tool
Indicador Pine Script®
por sto_svc
MNQ Risk TableMNQ Risk Table is a simple visual risk calculator for MNQ position sizing. It generates a transparent on-chart table that shows your stop size (points), the recommended MNQ contracts, and the total risk used based on your chosen dollar risk. ✅ Customizable risk amount ($) ✅ Adjustable stop range (10–100 pts) + step size ✅ Optional zebra rows for readability ✅ Optional highlighting when risk used is close to your target ✅ Works great for prop / eval accounts and quick sizing decisions
Indicador Pine Script®
por artispiud
Monte Carlo Simulation BandsMonte Carlo Simulation v2.4.2 Plots a one-bar-ahead price distribution band built from many simulated paths. The green band shows empirical percentiles of simulated final prices—these are distribution bounds, not a confidence interval of the mean. What It Does Simulates many one-bar price paths using a directional random walk with volatility scaling (uniform shocks, not Gaussian GBM). Plots Mean Forecast, Median Forecast, and configurable percentile bounds (default 5th/95th). Optional rolling HTF-days mean line (yellow) for trend context. Optional labels and forward projection lines. Alerts when the confirmed close breaks above or below the percentile band. Non-Repainting & HTF Behavior (Fail-Closed) All calculations are gated to confirmed bars only via explicit no_repaint_ok gate (barstate.isconfirmed). If you select an HTF Resolution, the script uses a strict request.security(..., lookahead_off, gaps_off) pipeline. If HTF data is unavailable, outputs are na—no silent fallback to chart timeframe. A separate "HTF Alignment (lagged)" plot shows the prior HTF close (htf_price ) as visual proof of no look-ahead. Volatility Source & Scaling If "Use Historical Volatility" is enabled, volatility is estimated from log returns on the selected resolution (HTF if set, otherwise chart). Annualization adapts to session type: Equities: 6.5 hours/day, 252 trading days/year Crypto: 24 hours/day, 365 days/year Substeps increase path smoothness within the same one-bar horizon—they do not extend the forecast to multiple bars. Key Inputs • Prob Up / Prob Down — Must satisfy Prob Up + Prob Down ≤ 1.0. If violated, simulation is skipped and table shows "✗ PROB>1". • # Simulations / # Substeps — Higher = smoother/more stable, but slower. Default 100×100 is a good balance. • Lower/Upper Percentile — Define the band width (e.g., 5 and 95 for a 90% distribution band). • Run On Last Bar Only — Performance mode (recommended). Skips historical computation; updates on each new confirmed bar. • Resolution (HTF) — Leave blank for chart timeframe, or set to Weekly/Monthly for HTF-aligned simulation. • Crypto 24/7 Session? — Enable for crypto markets to use correct annualization (365d, 24h). How to Use (Quickstart) Start with defaults and keep Run On Last Bar Only = true for speed. Set Prob Up and Prob Down so their sum ≤ 1.0 (e.g., 0.5 + 0.5 = 1.0 for neutral). Enable "Use Historical Volatility" and set a Volatility Lookback (e.g., 20 bars) for data-driven vol. Set Resolution (HTF) if you want the model to run on higher timeframe data (e.g., 1W). Expect updates only when a new HTF interval starts. Choose percentiles (e.g., 5 and 95) to define your distribution band width. Enable alerts for "Price Above Upper Percentile" or "Price Below Lower Percentile" to get notified of breakouts. Limitations & Disclosures Forecast horizon is one bar only. Substeps do not create a multi-bar forecast. Model uses uniform shocks with direction chosen from Prob Up/Down. This is not Geometric Brownian Motion (GBM) and is not calibrated to any option-implied distribution. Bounds are percentiles of final simulated prices, not a statistical confidence interval of the mean. HTF mode updates at the start of a new HTF interval (first chart bar where the HTF timestamp changes), so the band appears "step-like" in realtime. Historical volatility requires enough bars for the selected lookback; until then, values may be na. Performance depends on Sims × Substeps; extreme settings (e.g., 500×500) can be slow. This indicator does not predict direction—it shows a probabilistic range based on your inputs.
Indicador Pine Script®
por actemplet
Structura Candles Volume 1 v1.0█ OVERVIEW Structura Candles Volume 1 is an advanced candlestick pattern recognition indicator based on the research methodology of Thomas N. Bulkowski's "Encyclopedia of Candlestick Charts." This indicator identifies 19 statistically-validated candlestick patterns and provides real-time backtesting against your current chart. █ METHODOLOGY Unlike traditional candlestick indicators that rely on theoretical pattern behavior, this script implements Bulkowski's empirical approach: - Trend Detection: 10-period EMA to define short-term trend context - Tall Candle Filter: 146% of 22-day average height threshold (statistically significant candles) - Breakout Confirmation: Tracks whether price breaks above pattern high or below pattern low within a user-defined window - Non-Repainting: Signals only confirm on bar close █ PATTERNS INCLUDED LONG Signals (Bullish): - Three-Line Strike Bearish (84% reversal rate per Bulkowski) - Engulfing Bullish - Morning Star / Morning Doji Star - Belt Hold Bullish - Abandoned Baby Bullish - Rising Window - Three Inside Up - Three Outside Up SHORT Signals (Bearish): - Engulfing Bearish - Three Black Crows - Evening Star / Evening Doji Star - Abandoned Baby Bearish - Two Black Gapping - Falling Window - Belt Hold Bearish - Three Inside Down - Three Outside Down █ FEATURES - Real-time pattern detection with LONG/SHORT direction - Dynamic win rate calculation based on YOUR chart's historical performance - Comparison to Bulkowski's book statistics - Label colors update based on outcome: 🟡 Yellow = Pending (awaiting breakout) 🟢 Green = WIN (correct breakout direction) 🔴 Red = LOSS (wrong breakout direction) ⚪ Gray = Timeout (excluded from statistics) - Separated LONG vs SHORT performance dashboard - Adjustable breakout timeout window █ HOW TO USE 1. When a pattern appears, the label shows direction (LONG/SHORT) and historical win rate 2. Wait for bar close confirmation (✓ CONFIRMED status) 3. Monitor subsequent bars for breakout above pattern high (bullish) or below pattern low (bearish) 4. Use the dashboard to identify which patterns perform best on your specific instrument █ IMPORTANT DISCLAIMER - Past performance does not guarantee future results - The "Book WR" values are from Bulkowski's historical research on US equities and may differ across instruments, timeframes, and market conditions - This indicator is for educational and analytical purposes only - Always use proper risk management and do your own analysis before trading - The win rates displayed are based on the breakout methodology, not actual trade profitability █ SETTINGS - Max Bars to Breakout: How long to wait for pattern confirmation (default: 10) - Pattern Toggles: Enable/disable individual patterns - Bulkowski Parameters: Adjust trend EMA, height threshold, and doji tolerance █ ACCESS This is an invite-only script. For access, please send a direct message.
Indicador Pine Script®
por I075