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Candlestick analysis

SMC Market Structure (HH/HL/LH/LL + BOS/CHoCH/MSS)SMC Market Structure (HH/HL/LH/LL + BOS/CHoCH/MSS) is a clean price-action / Smart Money Concepts market structure tool designed to automatically identify and label key structural events on the chart: Swing structure points: HH, HL, LH, LL Continuation confirmations: BOS (Break of Structure) Early reversal warnings: CHoCH (Change of Character) Stronger reversal signals: MSS (Market Structure Shift) using a displacement filter The script is built to remain visually tidy: it draws simple horizontal structure lines at the broken swing level and prints small abbreviations (BOS / CHoCH / MSS) directly on the chart without cluttering candles or adding heavy panels. What the Indicator Detects 1) Swing Points (HH / HL / LH / LL) Swings are detected using confirmed pivots (left/right “Swing length” bars). HH (Higher High): a swing high above the previous swing high LH (Lower High): a swing high below the previous swing high HL (Higher Low): a swing low above the previous swing low LL (Lower Low): a swing low below the previous swing low These labels help define the market’s active structure: Bullish structure: HH + HL sequence Bearish structure: LL + LH sequence Range / consolidation: mixed swing progression 2) BOS (Break of Structure) – Trend Continuation A BOS prints when price breaks the most recent swing level in the direction of the current structure: In a bullish market state → break above the most recent swing high In a bearish market state → break below the most recent swing low This is typically treated as confirmation that the existing trend is continuing. 3) CHoCH (Change of Character) – Early Reversal Signal A CHoCH prints on the first break against the current structure: In a bullish market state → break below the most recent swing low In a bearish market state → break above the most recent swing high CHoCH is intended as an early warning that the market may be transitioning into a new directional bias. 4) MSS (Market Structure Shift) – Stronger Reversal via Displacement MSS is treated as a “strong CHoCH” and requires a decisive, displacement-style candle at the break. To qualify as MSS, the script requires: A break against structure with a CLOSE break, and A displacement candle where: Candle body > ATR × Displacement Multiplier This helps filter out shallow wicks or minor liquidity grabs and highlights shifts that show stronger participation and momentum. How the Indicator Draws on the Chart When a BOS / CHoCH / MSS occurs: A horizontal line is drawn from the swing point to the break bar at the broken level. A small abbreviation label (BOS / CHoCH / MSS) is placed either: In the middle of the line segment, or On the break bar (selectable) Swing labels (HH/HL/LH/LL) are optional and can be disabled for a cleaner “event-only” layout. Inputs & Settings Swing Length (Pivot Left/Right) Controls how sensitive the swing detection is. Lower values (3–5): more structure points, more signals Higher values (8–14): fewer, cleaner swings (better for higher timeframes) Break Confirmation (Wick vs Close) Wick: break triggers when the candle’s wick crosses the swing level Close: break triggers only when the candle closes beyond the swing level Many SMC traders prefer Wick for detecting liquidity runs and early breaks, while others prefer Close to reduce false signals. MSS Displacement Filter ATR Length: ATR calculation period Displacement Multiplier: Minimum body size = ATR × multiplier Higher multiplier = fewer MSS signals, but stronger quality threshold. Display Toggles Show/Hide Swing Labels (HH/HL/LH/LL) Show/Hide BOS, CHoCH, MSS Optional EQH/EQL labeling (equal highs/lows) Visual Controls Bullish / bearish structure colors Line width / style Text offset (in ticks) to keep labels neat above/below level Maximum structure objects to keep on screen (prevents object-limit issues) Recommended Usage Trend Following Use HH/HL or LL/LH progression to define the trend. Wait for BOS to confirm continuation. Use BOS levels as: Bias confirmation Potential retest zones Risk reference for stop placement Reversal / Shift Detection Identify prevailing structure (bullish or bearish). Watch for CHoCH as the first sign of a possible reversal. Treat MSS as a stronger “shift” event (displacement + close break), often suitable for: Changing directional bias Switching from pullback trading to reversal continuation setups Multi-Timeframe Workflow (Common SMC Method) Higher timeframe (HTF): use swings and BOS to define macro bias Lower timeframe (LTF): use CHoCH/MSS to time entries and manage risk Confirm entries with your preferred tools (order blocks, FVGs, liquidity pools, session timing, etc.) Notes & Limitations This script uses confirmed pivots, so swing labels appear only after the swing is fully formed (after Swing length bars). This avoids repainting swing points. BOS/CHoCH/MSS events are derived from the most recent confirmed swing levels. MSS requires a close break and displacement threshold even if “Wick” breaks are enabled for other events (by design, to keep MSS strict). Best Settings by Timeframe (General Guide) Scalping (1–5m): Swing length 3–5, Wick breaks, MSS multiplier 1.2–1.8 Intraday (15m–1h): Swing length 5–8, Wick or Close, MSS multiplier 1.5–2.0 Swing trading (4h–1D): Swing length 8–14, Close breaks, MSS multiplier 1.8–2.5
Chỉ báo Pine Script®
của CptRedd
Price-Time Confluence Engine Price-Time Confluence Engine is a dual-layer market analysis indicator designed to synchronize price-based targets with time-based momentum projections, helping traders anticipate potential reaction points, reversals, and momentum shifts. The indicator combines adaptive ATR price targets with deviation context on the chart, alongside a forward-projected Stochastic RSI structure in a dedicated pane. 🔹 Core Components 1️⃣ Adaptive Price Targets (Chart Overlay) On every new candle, a new ATR-based price target is generated automatically. The target updates dynamically with live price movement until the candle closes. Targets are directionally aligned with the current candle’s momentum. A HIT label is displayed when price reaches the active target during the candle. Behavioral Insight If a target fails to be hit and remains red after the next candle forms, this behavior has shown a tendency to correlate with short-term swing reversals, signaling potential exhaustion or loss of momentum. 2️⃣ Mean & Deviation Framework A configurable mean (moving average) is plotted with up to four deviation bands. Deviation bands provide contextual boundaries for price targets and help visually frame volatility expansion or compression. An optional filter allows HIT labels to require alignment with the first deviation band. 3️⃣ Stochastic RSI Projection (Indicator Pane) The lower pane displays live Stochastic RSI %K and %D values. A historical Stoch RSI pattern is cloned and projected forward in time, creating a time-based momentum forecast. The projection highlights anticipated crossing points between %K and %D before they occur. A single dynamic “Projected Cross” label marks the next expected crossing location. Vertical reference lines and directional arrows help visualize projected momentum shifts. Important Note on Timeframes The projection logic is optimized for the Daily timeframe. Other timeframes may require different lookback settings for meaningful alignment. Price-based targets and deviation logic function on any timeframe. 🔧 User Controls ATR length and multiplier Mean length and deviation depth Number of deviation bands displayed Label visibility and history limits Projection visibility and forward shift Optional normalization of projected momentum Visual toggles for arrows, vertical lines, and labels 📈 How to Use Observe the active price target forming with each new candle. Watch whether price hits or fails to hit the target before the next candle. Use deviation bands to contextualize where targets sit within volatility structure. Reference the Projected Cross in the lower pane to anticipate potential momentum transitions. Look for confluence between unhit targets and projected momentum shifts as potential inflection zones. ⚠️ Disclaimer This indicator is a visual analysis and decision-support tool. It does not generate trade signals and should be used in conjunction with proper risk management and additional market context.
Chỉ báo Pine Script®
của Dinjin
Geometric Cloud Bands═══════════════════════════════════════════════════════ ☁️ GEOMETRIC CLOUD BANDS - Trading Guide ═══════════════════════════════════════════════════════ 📌 WHAT IS IT? The Geometric Cloud Bands indicator creates dynamic support/resistance zones using logarithmic price transformation. It helps identify trend direction and optimal entry points. ═══════════════════════════════════════════════════════ 🟢 LONG ENTRY SETUP ═══════════════════════════════════════════════════════ ✅ Entry Conditions: ▸ Price closes ABOVE the upper cloud band ▸ Cloud color changes to GREEN/TEAL ▸ Wait for pullback to cloud for better entry 🎯 Take Profit: ▸ Next resistance level ▸ Or use trailing stop 🛑 Stop Loss: ▸ Place below the lower cloud band ═══════════════════════════════════════════════════════ 🔴 SHORT ENTRY SETUP ═══════════════════════════════════════════════════════ ✅ Entry Conditions: ▸ Price closes BELOW the lower cloud band ▸ Cloud color changes to RED ▸ Wait for pullback to cloud for better entry 🎯 Take Profit: ▸ Next support level ▸ Or use trailing stop 🛑 Stop Loss: ▸ Place above the upper cloud band ═══════════════════════════════════════════════════════ 📊 VISUAL GUIDE ═══════════════════════════════════════════════════════ │ 🟢 LONG ZONE (Price above cloud) │ ↳ Look for BUY entries ─────┼───────────────────────────── │ ☁️ CLOUD ZONE (Neutral) │ ↳ Avoid trading here ─────┼───────────────────────────── │ 🔴 SHORT ZONE (Price below cloud) │ ↳ Look for SELL entries ═══════════════════════════════════════════════════════ 💡 PRO TIPS ═══════════════════════════════════════════════════════ ⏱️ TIMEFRAME ▸ Best on 1H, 4H, and Daily charts ▸ Higher timeframes = stronger signals 📈 TREND CONFIRMATION ▸ Thicker cloud = stronger trend ▸ Thin cloud = weak trend, be cautious 📊 VOLUME ▸ Confirm breakouts with volume spike ▸ Low volume breakout = possible fake out ⚠️ AVOID ▸ Trading when price is choppy inside cloud ▸ Ranging/sideways markets ▸ Trading against the higher timeframe trend ═══════════════════════════════════════════════════════ ⚡ QUICK REFERENCE ═══════════════════════════════════════════════════════ Price > Cloud → 🟢 BULLISH → Look for LONG Price < Cloud → 🔴 BEARISH → Look for SHORT Price ≈ Cloud → ⚪ NEUTRAL → Wait for breakout ═══════════════════════════════════════════════════════ ⭐ If you find this indicator helpful, please BOOST! 💬 Comment below with any questions 🔔 Follow for more trading tools
Chỉ báo Pine Script®
của A1TradingHub
FVG Clean MTF + IFVG (Deep Memory)FVG Deep Memory This is a highly optimized, Multi-Timeframe (MTF) Fair Value Gap indicator designed to solve the common "data limit" issues found in standard FVG scripts. Most MTF indicators share a single "memory limit" for all zones. This causes a problem: specific high-frequency zones (like 1-minute gaps) flood the memory and accidentally delete your important Higher Timeframe levels (like Daily or 4H gaps). FVG Deep Memory solves this by assigning Independent Memory Buckets to each timeframe. Your 1-minute noise will never delete your Daily structure again. 🚀 Key Features 1. "Deep Memory" Architecture 5 Independent Timeframes: Monitor the Chart, 15m, 1h, 4h, and Daily intervals simultaneously. No Cannibalization: Each timeframe has its own dedicated allocation (e.g., 100 zones each). A flood of new zones on the 15m chart will not erase an old Daily zone. They coexist perfectly. 2. Dynamic "Gray Zone" State SR Channel Logic: When price enters an active FVG, the zone dynamically changes color to Gray (customizable). Why it helps: This provides an instant visual cue that price is "in traffic" or a decision point, separating it from untouched "fresh" zones. 3. Advanced Logic Inversion Gaps (IFVG): When a Fair Value Gap is broken, it can automatically flip into an Inversion Gap (Support becomes Resistance) with a dashed style. Mitigation Handling: Choose between extending zones until broken, or hiding them immediately upon mitigation to keep the chart clean. Midlines: Optional median lines for precision entries. 4. Soft UI & Customization Designed with "Soft" transparency to keep your chart readable. Fully customizable colors for Bullish, Bearish, and "In-Zone" states. Toggle any timeframe on/off individually without affecting the logic of others. 🛠 Settings Guide Lookback Limit: How far back (in days) to scan for gaps. Max Boxes PER Timeframe: The distinct memory limit for each timeframe bucket. Show Inversion Gaps: Enables the "Support to Resistance" flip logic. Hide Nested Gaps: Prevents clutter by merging overlapping zones. Price In Zone Color: The color the zone turns when price is currently trading inside it. ⚠️ Credits Original detection logic by LuxAlgo. Heavily modified by Gemini_AI_Optimization to include Independent Memory Architecture, Gray Zone Logic, and Independent MTF Layering.
Chỉ báo Pine Script®
của tonngnh3
Swing High Low Detector + 4 EMA (buy Coi)Indicator Name: Swing High-Low Detector (Close-Confirmed) & 4 EMA Cross Key Features: Confirmed Swing Points: Identifies technical Swing Highs and Lows based on a user-defined strength (default: 5 bars). Unlike standard indicators, it requires a "Close Confirmation": Swing High: The 5th bar after the peak must close below the peak bar's close. Swing Low: The 5th bar after the valley must close above the valley bar's close. Dynamic Support/Resistance: Automatically draws horizontal lines from swing points. Current active levels are thick/solid, while historical levels are thin/dotted. Liquidity Sweep Option: Optional setting to automatically delete past levels once price breaks through them (sweeping liquidity). 4-EMA Trend Filter: Includes 8, 13, 21, and 55 EMAs. Crossover Signals: Generates "B" (Buy) and "S" (Sell) labels when the shorter EMAs (8, 13, 21) cross above or below the 55 EMA baseline.
Chỉ báo Pine Script®
của low198
Fibonacci Level-2 + Level-3 StrategyFibonacci Level-2 + Level-3 Strategy - Complete Guide Winner from 1-Year Backtest: +5.09% Total PnL 📊 Strategy Overview This is a SHORT-only Fibonacci projection breakdown strategy that combines two entry levels for optimal trade frequency and profitability. Core Concept Detect swing highs and lows Calculate Fibonacci projections (0.618, fibb2, 1.272 extension) Enter SHORT when price breaks key levels Target the 1.272 Fibonacci extension Use strict trend, volume, and delta filters 🎯 Entry Rules Level-2 Entry (62% of trades) Trigger: Price breaks below fibb2 (second Fibonacci projection) Target: 1.272 extension Win Rate: 51.0% Avg Win: +2.13% Contribution: +5.39% PnL Level-3 Entry (38% of trades) Trigger: Price breaks below swing low Target: 1.272 extension Win Rate: 74.2% Avg Win: +0.44% Contribution: -0.30% PnL Stop Loss Fixed: 2% above entry price Hit rate: 36.6% of trades 🔍 Filters (Must Pass All) Trend Filter: EMA50 < EMA200 (bearish trend required) Volume Filter: Current volume > 1.0x 20-period average Delta Filter: Swing delta < 30% bullish (not too much buy pressure) 📈 1-Year Backtest Results Period: Dec 31, 2024 - Dec 31, 2025 (364 days) Data: BTC/USDT 15-minute candles from Binance Overall Performance Total Trades: 82 (6.8 per month) Win Rate: 59.8% Total PnL: +5.09% Profit Factor: 1.08 Avg Win: +1.34% Avg Loss: -1.83% Largest Win: +6.33% Largest Loss: -2.00% Avg Trade Duration: 21.3 hours (0.9 days) Monthly Breakdown Month Trades L2 L3 Win% PnL Best Trade Jan 2025 3 1 2 66.7% -1.43% +0.57% Feb 2025 7 4 3 57.1% +6.21% ✅ +4.74% Mar 2025 9 4 5 66.7% +7.47% ✅ +6.33% Apr 2025 8 6 2 25.0% -10.20% ❌ +1.53% May 2025 4 3 1 25.0% -5.54% ❌ +0.46% Jun 2025 7 4 3 42.9% -3.41% +1.34% Jul 2025 7 2 5 71.4% -1.08% +1.22% Aug 2025 8 5 3 75.0% +1.31% +1.70% Sep 2025 5 3 2 80.0% +0.63% +1.42% Oct 2025 7 6 1 85.7% +7.48% ✅ +2.77% Nov 2025 9 7 2 77.8% +10.60% ✅✅ +4.38% Dec 2025 8 6 2 37.5% -6.95% ❌ +1.30% Profitable Months: 6/12 (50%) Best Month: November (+10.60%) Worst Month: April (-10.20%) 🎲 Expected Performance Conservative (50th Percentile) Monthly trades: 6-7 Monthly PnL: +0.5% to +2% Annual return: ~20-30% Aggressive (75th Percentile - Good Months) Monthly trades: 8-9 Monthly PnL: +5% to +10% Annual return: ~80-200% Reality Check Expect 6 profitable and 6 unprofitable months Worst months can be -10% Best months can be +10% Net annual: +5-15% with proper risk management 📋 Implementation Checklist Setup Use BTC/USDT on 15-minute timeframe Set up swing detection (100-period rolling high/low) Calculate EMAs (50 and 200) Track volume MA (20-period) Monitor taker buy/sell volume for delta Entry Signals Identify swing high and swing low Calculate Fibonacci levels (0.618, fibb2, 1.272) Watch for Level-2 breakdown (price < fibb2) Watch for Level-3 breakdown (price < swing low) Validate ALL filters before entry Position Management Enter SHORT at current price Set stop loss at entry + 2% Set take profit at 1.272 extension Monitor position continuously Close at TP, SL, or manually if needed 💰 Risk Management Position Sizing Account Size: $10,000 Risk per trade: 2% = $200 Entry: $90,000 Stop Loss: 2% = $91,800 Position Size: $200 / ($1,800 / $90,000) = $10,000 With 10x leverage: Use $1,000 margin Rules Never risk more than 2% per trade Daily loss limit: -4% (stop trading for the day) Weekly loss limit: -10% (review strategy) Maximum 3 open positions at once 📊 Trade Log Template Track every trade: Date & Time Level (Level-2 or Level-3) Entry Price Stop Loss Price Target Price Swing Range % Filters Passed (trend, volume, delta) Exit Price PnL % Exit Reason Notes 🚀 Going Live Week 1-2: Paper Trading Set up alerts on TradingView Track all signals Don't take real trades Verify strategy logic Target: 6-8 paper trades Week 3-4: Live (Small Size) Start with $500-1000 positions Risk only 1% per trade (not 2%) Take 5-8 trades Compare actual vs backtest Month 2+: Scale Up If win rate >55% and monthly PnL >0%: Increase to 2% risk per trade Use full position sizes If win rate <50%: Stay at 1% risk Review and refine 📁 Files Production Script File: fibonacci_level2_level3_strategy.py Run backtest: python3 fibonacci_level2_level3_strategy.py Output: Comprehensive performance report Monthly breakdown Level-by-level analysis Trade log CSV file Trade Log Latest: fibonacci_level2_level3_20251231_114019.csv Contains all 82 trades with: Entry/exit times and prices PnL percentages Level names (Level-2 or Level-3) Swing characteristics Exit reasons Filter validations 🎯 Key Success Factors What Makes This Work Level-2 provides the profit (+5.39% contribution) Decent win rate (51%) Good avg wins (+2.13%) Most trades come from Level-2 Level-3 adds volume (31 trades, 74% WR) High win rate but small wins Provides trading opportunities Diversifies entry points Combo smooths performance 6.8 trades/month (manageable) Mix of consistent (L2) and high-WR (L3) Better than either alone What Can Go Wrong Bad months happen (50% of months unprofitable) April: -10.20% May: -5.54% Don't overtrade to recover Small wins on Level-3 Avg +0.44% doesn't move the needle Need Level-2 for profitability Stop losses hit frequently (36.6%) 2% SL hits often Must accept losses as part of strategy 🔬 Advanced Optimizations Potential Improvements (Not Tested) Add session filters Only trade London (9AM-12PM Thailand) Only trade NY AM (4:30PM-6PM Thailand) May improve win rate Add RSI filter Only short when RSI < 40 Avoid shorting oversold conditions Dynamic stop loss Use ATR-based stops May reduce SL hit rate Partial exits Close 50% at 1% profit Let 50% run to target Locks in some profit ⚠️ Test any changes thoroughly before going live! 📞 Support Questions or issues? Review: The backtest code in fibonacci_level2_level3_strategy.py Trade logs in CSV files Monthly breakdown for pattern analysis ✅ Final Checklist Before Live Trading Understand both Level-2 and Level-3 entry logic Can calculate Fibonacci levels manually Verified all filters (trend, volume, delta) Practiced paper trading for 2 weeks Set up proper position sizing (2% risk max) Defined daily/weekly loss limits Ready to accept losses as part of trading Won't revenge trade after losses Will track every trade in journal Strategy Proven: +5.09% on 1 year real data (82 trades) Ready to Trade: Yes, with proper risk management Recommended Capital: Minimum $5,000 Time Commitment: Check charts 2-3x per day Good luck! 🚀
Chỉ báo Pine Script®
của yeminnaing747474
Professional Breakout Indicator (DC + ATR Filter)Description Elements (Professional): Benefits of Donchian Channel (DC): Uses $\text{highest(high, N)}$ and $\text{lowest(low, N)}$ to determine the historical price accumulation range ($N$). Identifies resistance/support levels that serve as natural market breakout points. ATR Filter: Uses the Average True Range (ATR) multiplied by the multiplier ($\text{Multiplier}$) to increase the distance from the DC edges. Prevents False Breakouts: Signals only occur when the breakout has enough strength (momentum) to overcome the average volatility ( NYSE:ATR $). Input Parameters: Allow users to customize $N$, $\text{ATR Length}$, and $\text{ATR Multiplier}$. Flexibility: The indicator can be adapted to different assets (stocks, Forex, crypto) or timeframes. Alerts ($\text{alertcondition}$): Adds an automatic alert function when a confirmed breakout signal occurs. Convenience: Traders do not need to constantly monitor the screen. Notifications can be set to be sent to mobile phones or emails. Visuals show breakout boundaries and plot shapes clearly display buy/sell signals. Clarity: Facilitates easy visual decision-making and backtesting.
Chỉ báo Pine Script®
của tomgoodcarkhonsan
ERD: Effort-Result Diagnostic [Darwinian]ERD: Effort–Result Diagnostic This indicator conceptually inspired by Donchian Channel logic, repurposed to visualize the relationship between effort (participation) and result (price movement) using signed volume as the primary constraint. Core Concept Markets move for two fundamentally different reasons: - Effort — active participation, commitment, urgency - Entropy / Vacuum — absence of participation Price alone cannot distinguish between the two. ERD answers one question only: Is the current price movement supported by participation, or is it moving beyond effort? How It Works Volume is treated as directional effort (positive / negative). Donchian-style logic defines contextual effort boundaries for each direction. These boundaries are overlaid with price to visualize effort containment. Interpretation: Price inside the effort zone → Effort still contains price → Auction is active and engaged Price pressing into the effort boundary (tension zone) → Effort is being tested → Outcome uncertain Price escaping beyond the effort zone → Result exceeds effort → Movement is fragile, vacuum-driven, or entropy-based Upside and downside are evaluated independently. Intended Use Diagnose breakout / breakdown quality Identify entropy drift, especially in illiquid assets Distinguish absence of effort from failed effort Improve trade selection and patience Train effort-aware price action reading across timeframes ERD is designed to reduce bad trades, not increase activity. Attribution Conceptually inspired by Donchian Channels (Richard Donchian), adapted for effort–result diagnostics using signed volume. Designed by Darwinian
Chỉ báo Pine Script®
của DarwinDarma
EY Watermark DashboardThis script provides a comprehensive, high-level watermark dashboard designed to give traders an immediate snapshot of a symbol's health and context without cluttering the main chart area. Main Features & Logic: Contextual Data: Displays Company Name, Market Cap (T/B/M), Sector, and Industry. Volatility (ATR): Shows the 14-day Average True Range as a percentage of the price, with color-coded emojis based on user-defined thresholds. Volume Anomaly Detection: Compares current intraday volume against a 200-bar SMA to flag "Low," "High," or "Extreme" volume spikes. Pre-Market Analysis: Calculates cumulative pre-market volume and compares it to a 30-day average volume. This is categorized into levels (Negligible, Noise, Sentiment, Significant Move, or Major Event) to help identify early institutional interest. Trend & Distance: Tracks price position relative to a customizable Moving Average (default 150) and calculates the percentage distance from the All-Time High (ATH). Fundamental Data: Integrates P/E ratios and a countdown to the next earnings date using TradingView's financial and earnings data functions. How to use: Traders can use this to quickly verify if a stock is "extended" from its ATH, if the current volume is anomalous, or if there is significant pre-market activity that warrants attention before the opening bell.
Chỉ báo Pine Script®
của bkerez