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AlgoAI Volume-Weighted Volatility Breakout╔═══════════════════════════════════════════════════════════╗ ║ 🚀 ALGOAI VOLUME-WEIGHTED VOLATILITY BREAKOUT ║ ║ Advanced Algorithmic Trading Intelligence ║ ╚═══════════════════════════════════════════════════════════╝ 🔥 FREE INDICATOR - UPGRADE TO PRO: algoai.store ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT IS ALGOAI? AlgoAI is a cutting-edge volume-weighted volatility breakout detector that combines three critical market factors: ✅ VOLUME ANALYSIS - Filters false breakouts with volume confirmation ✅ VOLATILITY (ATR) - Dynamic bands adapt to market conditions ✅ PRICE ACTION - Precise breakout/breakdown signal detection ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 KEY FEATURES: • Real-time breakout signals (🚀 Bullish / 🔻 Bearish) • Volume strength histogram - see buying/selling pressure • Color-coded candles - instant visual feedback • Dynamic volatility bands - adapts to market conditions • Alert-ready - perfect for webhook automation • Works on ALL timeframes & assets (Stocks, Forex, Crypto, Futures) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 HOW TO USE: 1️⃣ WAIT for price to compress inside the volatility zone (blue fill) 2️⃣ WATCH for breakout signal label (AlgoAI 🚀 or AlgoAI 🔻) 3️⃣ CONFIRM with volume histogram - should be GREEN (above threshold) 4️⃣ ENTER trade in breakout direction 5️⃣ SET alerts for automated trading integration ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ PERFECT FOR: • Day Trading (1-min, 5-min, 15-min charts) • Swing Trading (1-hour, 4-hour, daily charts) • Algorithmic Trading (webhook alerts to Tradovate/NinjaTrader) • Multi-asset portfolios (Stocks, Forex, Crypto, Futures) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔓 FREE vs PRO COMPARISON: FREE (This Indicator) PRO VERSION at algoai.store ────────────────────────────────────────────────────────── ✓ Volume breakout signals ✓ + 12+ Advanced AlgoAI Indicators ✓ Volatility bands ✓ + Automated Backtesting Suite ✓ Volume histogram ✓ + AI-Powered Signal Ranking ✓ Basic alerts ✓ + Tradovate/NT8 Auto-Trading ✓ + Priority Support & Updates ✓ + Mobile App Integration ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 UPGRADE TO ALGOAI PRO: Get the complete algorithmic trading suite: → algoai.store Join thousands of traders using AlgoAI for: • Automated trading systems • Multi-strategy backtesting • AI-enhanced signal detection • Real-time webhook integration ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER: Trading involves significant risk. This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 TAGS: #AlgoAI #BreakoutTracker #VolumeAnalysis #VolatilityTrading #AlgorithmicTrading #DayTrading #CryptoTrading #ForexTrading #StockTrading #TradingView #PineScript #AutoTrading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 READY TO TRANSFORM YOUR TRADING? Visit: algoai.store Get AlgoAI Pro - The Complete Algorithmic Trading Suite ──────────────────────────────────────────────────────────── AlgoAI © 2026 | Advanced Algorithmic Trading Intelligence
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của ArtificialIntelligenceAlgo
Liquidity Sweeps [Quantum Algo]Liquidity Sweeps is an open-source liquidity sweep indicator that maps resting liquidity at swing highs and swing lows, then flags the exact moment that liquidity is swept and rejected — the classic stop-hunt behaviour traders watch for in Smart Money Concepts (SMC). WHAT IS A LIQUIDITY SWEEP? A liquidity sweep (also called a liquidity grab or stop hunt) happens when price briefly spikes beyond an obvious swing high or swing low — where stop-loss and breakout orders rest — and then closes back inside the prior range. The wick takes the liquidity; the close shows the breakout failed. Liquidity sitting above swing highs is buy-side liquidity (BSL); liquidity sitting below swing lows is sell-side liquidity (SSL). A bearish liquidity sweep occurs when buy-side liquidity above a swing high is swept and price closes back below it. A bullish liquidity sweep occurs when sell-side liquidity below a swing low is swept and price closes back above it. HOW THE INDICATOR WORKS - It detects confirmed swing highs and swing lows using a configurable pivot strength, and draws a liquidity level at each one. Buy-side levels sit above price; sell-side levels sit below. - Each level extends to the right until it is interacted with. - When a candle wicks through a level but closes back inside, the indicator marks a liquidity sweep with a label and an optional highlight on the sweeping wick. - An optional volume filter confirms only sweeps where the sweeping candle trades above its average volume, filtering out low-conviction wicks. - If price instead closes fully through a level, that is treated as a clean break (a plain liquidity grab / breakout), not a sweep, and the level is retired without a signal. WHAT IT SHOWS - Mapped buy-side (BSL) and sell-side (SSL) liquidity levels. - Bullish and bearish liquidity sweep markers, the moment a level is swept and rejected. - Optional wick highlighting on the sweep candle. - A dashboard showing bullish/bearish sweep counts, the last sweep direction, and the nearest un-swept buy-side and sell-side levels with their percentage distance from price. HOW TO USE IT Liquidity sweeps are most useful as a timing and context tool, not a standalone buy/sell system. A common workflow: - Mark the obvious highs and lows where liquidity is likely resting. - Wait for a sweep into one of those pools (a wick through, close back inside), ideally with the volume filter confirming participation. - Look for confirmation in your own process — a market-structure shift, an order block, a fair-value-gap fill, or higher-timeframe trend alignment — before acting. - A bearish sweep above resistance can precede a move down; a bullish sweep below support can precede a move up. Always define risk beyond the swept extreme. SETTINGS - Pivot Strength: how many bars define a swing; higher values keep only major liquidity pools. - Max Levels per Side: how many recent levels to keep mapped. - Volume Confirmation: toggle, average length, and multiplier to qualify a sweep. - Treat Clean Breaks as Grabs: retire levels that are broken through rather than swept. - Line width, style, and transparency for clear level visibility. - Full colour controls and a movable dashboard. ALERTS Three named alert conditions are included: Bullish Liquidity Sweep, Bearish Liquidity Sweep, and Any Liquidity Sweep. DISCLAIMER For educational purposes only. This is a technical analysis tool, not financial advice, and it does not predict price. Trading involves risk and you can lose your capital. No indicator is profitable on its own — always do your own research and use proper risk management.
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của Quantum-Algo
Range Filter - Enhanced AccuracyThis indicator is a comprehensive trend-following and momentum tool designed to identify market breakouts while filtering out noise. Below is a guide on how to interpret and trade with the Range Filter - Enhanced Accuracy. 1. The Core Components The Filter Line (The Midline): This is the heart of the indicator. Green: Indicates a bullish (upward) trend. Red: Indicates a bearish (downward) trend. Range Bands (High/Low): These act as dynamic support and resistance. Price breaking out of these bands typically indicates a shift in momentum. Trend EMA (Default 200): Displayed as a blue line. It represents the "Primary Trend." Buy/Sell Labels: These appear when a high-probability breakout occurs that meets all accuracy filters. 2. How to Read the Signals The signals in this version are filtered for quality. A signal only appears if: Price breaks the Filter Line in a new direction. Trend Alignment: Price is above the 200 EMA for a Buy signal, or below it for a Sell signal. Volatility Confirmation: The market has enough "movement" (ATR) to sustain a trend. Buy Signal (BUY Label) Entry: Enter when the green "BUY" label appears below the bar. Market Context: The Filter line turns green, and price is comfortably above the blue 200 EMA. Sell Signal (SELL Label) Entry: Enter when the red "SELL" label appears above the bar. Market Context: The Filter line turns red, and price is comfortably below the blue 200 EMA. 3. Suggested Trading Strategy Stop Loss: For Longs, place your stop loss just below the Low Band (red band) or the Filter Line. For Shorts, place your stop loss just above the High Band (green band) or the Filter Line. Take Profit: A common strategy is to exit when the Filter Line changes color (e.g., exit a Long trade when the line turns from green to red). Alternatively, use a fixed Risk/Reward ratio (like 1:2). 4. Adjusting the Settings (Optimization) You can tailor the indicator to different assets (Crypto, Forex, Stocks) and timeframes: Swing Period & Multiplier: For Scalping (1m-5m): Use a lower period (e.g., 10-15) and a lower multiplier (e.g., 2.5-3.0) for more frequent signals. For Swing Trading (1H-Daily): Use higher values (e.g., Period 20+, Multiplier 3.5+) to catch major trends. Use Trend Filter: If you are in a sideways/ranging market, turn this OFF to catch short-term rotations. If you are in a trending market, keep it ON to avoid "trap" signals. Use Volatility Filter: Keep this ON to avoid trading during low-volume sessions (like the Asian session for Forex) where price often moves without direction. 5. Pro Tips The "EMA River": Treat the area between the price and the 200 EMA as a neutral zone. The best signals often happen right after the price pulls back toward the EMA and then bounces away. Confluence: This indicator works best when combined with standard Support/Resistance levels or Volume indicators to confirm that the "BUY/SELL" signal is happening at a key structural level.
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của A1TradingHub
Gold Breakout Trader⚙️ Gold short-term entries off M1 timeframe every 2 hours every day with SL/TP targets. 📦 2-Hour Breakout Structure: The indicator plots a new set of dynamic zones every two hours, providing a fresh breakout structure based on the most recent price action. This is the default setting and is designed for intraday trading. 🎯 Precision Entry & Exit Levels: A central gray box is plotted, with Buy Stop and Sell Stop lines automatically placed 2 USD away from its borders. This buffer creates a neutral zone and helps filter out noise. 💰 Pre-Defined Profit Targets: Three Take Profit TP zones are plotted for both long and short trades TP1, TP2, TP3. These zones are spaced apart, providing clear targets for managing trades. ⚙️ Fully Customizable Spacing: Every element is adjustable. You can change the buffer between the gray box and stop lines, the gap between the stop lines and the first TP zone, and the gaps between each subsequent TP zone. 🔔 M1 Breakout Alerts: The indicator includes a powerful alerts module that triggers when an M1 candle closes above the Buy Stop level or below the Sell Stop level. This provides real-time notifications for potential trade entries. 🎨 Clean Visuals & Clear Labels: The zones are color-coded teal for buy-side, red/purple for sell-side for instant recognition. The Buy Stop and Sell Stop labels are also colored to match their respective directions, ensuring zero confusion. ⚙️ Trading Strategy & Logic This strategy is designed for precision and requires patience. The core idea is to wait for the market to confirm a breakout of the established 2-hour range before entering a trade. 📌 Entry Logic 1. 🕒 Wait for a New Zone: Allow the indicator to plot a new 2-hour structure. Do not trade old or expired zones. 2. 🔔 Set Your Alerts: In TradingView, create a new alert and select the indicator. For the condition, choose "Any alert() function call" and set it to trigger "Once Per Bar Close". This will notify you the moment a candle closes across a stop level. 3. 👀 Wait for the M1 Close: For a Long Buy Trade, wait for an M1 candle to close above the Buy Stop line. For a Short Sell Trade, wait for an M1 candle to close below the Sell Stop line. 4. ✅ Enter on Confirmation: Once you receive the alert and visually confirm the M1 candle has closed past the level, you can enter the trade. 🛑 Stop Loss SL Placement The stop loss is designed to be tight and objective, providing a clear invalidation of the trade idea. ⬇️ For a Long Trade, the Stop Loss should be placed at the Sell Stop line the level on the opposite side of the gray box. ⬆️ For a Short Trade, the Stop Loss should be placed at the Buy Stop line. 🎯 Take Profit TP Strategy The indicator provides three clear targets. How you use them depends on your trade management style. 🥇 TP1: The first level of resistance/support. This is an ideal target for taking partial profits and moving your stop loss to breakeven. 🥈 TP2 & TP3: Subsequent targets for scaling out of the position or for your final profit target. ⚠️ IMPORTANT NOTICE This indicator and the accompanying strategy are provided for educational purposes only. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The logic described is based on a specific set of rules and does not guarantee profit. Always conduct your own analysis and risk management before entering any trade. The creators are not responsible for any financial losses incurred.
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của ProjectSyndicate
16
OrangePulse v3.0 Lite - Educational DCA StrategyThis open-source script is a simplified version of the OrangePulse algorithm, designed for educational purposes to demonstrate the power of Dollar Cost Averaging (DCA) and Mean Reversion. 📈 Strategy Logic: The script uses a combination of Bollinger Bands and RSI (Relative Strength Index) to identify potential mean reversion opportunities. - Entry: Triggered when price pushes below the lower Bollinger Band while RSI is in oversold territory. - Management: Utilizes up to 3 Safety Orders (DCA) to improve the average entry price during pullbacks. 🎯 Features: • Customizable Volume Scale and Step Scale for Safety Orders. • Visual AVG price line and TP/SL levels. • Time-window filter for backtesting. • Real-time Status Table for position monitoring. This script is shared in the spirit of open-source development on TradingView. It is intended to help traders understand how automated position building and risk management work in volatile markets. Check my profile status/bio for more information on our project. ⚠️ Disclaimer: For educational purposes only. Past performance does not guarantee future results.
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của OrangePulse
Institutional Zone Detector [Scalping-Algo]█ OVERVIEW The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits. This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time. █ CORE CONCEPT Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns: Demand Zones (Bullish) When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers. Supply Zones (Bearish) When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers. Price has a tendency to revisit these zones, offering potential trade opportunities. █ HOW IT WORKS The indicator scans for: 1. A potential zone candle (bearish for demand, bullish for supply) 2. A sequence of consecutive candles in the opposite direction 3. Optional: A minimum percentage move to filter weak signals When all conditions are met, the zone is marked on your chart with: • Upper and lower boundaries (solid lines) • Equilibrium/midpoint level (cross marker) • Extended channel lines for easy visualization █ SETTINGS Consecutive Candles Required (Default: 5) Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals. Minimum Move Threshold % (Default: 0.0) Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity. Display Full Candle Range (Default: Off) • Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones • On: Shows complete High-to-Low range of the zone candle Show Demand/Supply Zone Channel (Default: On) Toggle extended horizontal lines that project the zone levels across your chart. Visual Theme (Default: Dark) Choose between Dark (white/blue) or Light (green/red) color schemes. Show Statistics Panel (Default: Off) Displays a floating panel with exact price levels of the most recent zones. Display Info Tooltip (Default: Off) Shows an information label with indicator documentation. █ HOW TO USE Entry Strategies 1. Zone Bounce (Mean Reversion) • Wait for price to return to a previously identified zone • Look for rejection candles (pin bars, engulfing patterns) at zone levels • Enter in the direction of the original zone (long at demand, short at supply) • Place stops beyond the zone boundary 2. Zone Break (Momentum) • When price breaks through a zone with strong momentum • The broken zone often becomes the opposite type (broken demand becomes supply) • Use for trend continuation trades 3. Equilibrium Trades • The midpoint (cross marker) often acts as a magnet for price • Can be used as a first target or as an entry point for scaled positions Risk Management • Always place stop-loss orders beyond zone boundaries • Consider the zone width when calculating position size • Wider zones = wider stops = smaller position size • Use the equilibrium level for partial profit taking Best Practices • Higher timeframes produce more reliable zones • Zones on multiple timeframes (confluence) are stronger • Fresh/untested zones are more powerful than zones that have been touched multiple times • Combine with other analysis methods (trend direction, volume, market structure) █ ALERTS Two alert conditions are available: • "Demand Zone Identified" - Triggers when a new demand zone is detected • "Supply Zone Identified" - Triggers when a new supply zone is detected To set up alerts: Click on the indicator name → Add Alert → Select condition █ IMPORTANT NOTES • This indicator is a tool for analysis, not a complete trading system • Signals are NOT automatic buy/sell recommendations • Always use proper risk management • Past performance does not guarantee future results • Works on all markets and timeframes • Non-repainting: Signals appear only after bar close confirmation █ ACKNOWLEDGMENTS Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application.
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của A1TradingHub
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System) 🎯 What This Indicator Does This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals. 📊 Core Concept & Methodology Volume Anomaly Detection The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes. Z-Score Formula: Z = (Current Volume - Average Volume) / Standard Deviation When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation. Dynamic Trend Filter A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction: Price above lower band = Uptrend Price below upper band = Downtrend Signal Logic Volume anomaly detected during an existing trend Trend reversal confirmed within the confirmation window Signal generated = BUY or SELL label appears ⚙️ Settings Explained SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length 📖 How To Use Entry Signals BUY: Green label appears below bar - consider long positions SELL: Red label appears above bar - consider short positions Volume Anomaly Markers (⬥) Small diamonds indicate detected volume spikes These are early warnings before confirmed signals Useful for anticipating potential reversals Trend Bands Colored zones show active signal direction Stay with the trend until opposite signal appears Best Practices Confirm with price action - Look for support/resistance levels Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended Manage risk - Always use stop losses Avoid ranging markets - Best in trending/volatile conditions ⚠️ Important Notes No indicator is perfect - Use as part of a complete trading strategy Volume data required - Will show warning if volume unavailable Not financial advice - Always do your own research 🔔 Alerts Available BUY Signal Confirmed SELL Signal Confirmed Volume Anomaly (Buy Setup) Volume Anomaly (Sell Setup)
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của A1TradingHub
6
LTF Distribution Analyzer█ OVERVIEW LTF Distribution Analyzer reveals the hidden price distribution and order flow within each candle by sampling lower timeframe data. It visualizes where prices concentrated, how volume was distributed between buyers and sellers, and identifies divergences between price action and actual market participation. Unlike traditional candlesticks showing only OHLC, this indicator exposes the statistical structure of price movement using quartile-based visualization combined with delta analysis. █ CONCEPTS The indicator is built on two core concepts: 1 — Statistical Price Distribution Each candle contains many lower timeframe bars. By analyzing these bars, we calculate: • Q1 (25th percentile) - 25% of prices traded below this level • Q3 (75th percentile) - 75% of prices traded below this level • Median - The middle price value • IQR (Interquartile Range) - The Q3-Q1 spread containing 50% of all prices 2 — Volume Delta Analysis Delta measures buying vs selling pressure: • Delta = Buy Volume − Sell Volume • Positive delta = More aggressive buying • Negative delta = More aggressive selling • Delta Ratio normalizes this as a percentage █ HOW IT WORKS The indicator fetches lower timeframe data using request.security_lower_tf() and processes it to create a statistical summary: Step 1: Timeframe Calculation • Auto mode: Chart timeframe ÷ Auto Divisor = LTF • Example: 1H chart ÷ 1000 = ~3.6 second sampling • Manual mode: User-specified timeframe Step 2: Data Collection • Collects all close prices from LTF bars within current candle • Aggregates volume by candle direction (bullish/bearish) Step 3: Statistical Analysis • Calculates quartiles (Q1, Q3), median, and boundaries • Identifies outliers using 1.5× and 3× IQR fences • Finds Volume POC (price with highest volume) Step 4: Delta Calculation • Sums buy volume (from bullish LTF bars) • Sums sell volume (from bearish LTF bars) • Computes delta ratio for color determination █ VISUAL ELEMENTS ┌─────────────────────────────────────────┐ │ ▲ Extreme outlier (3× IQR) │ │ △ Mild outlier (1.5× IQR) │ │ ─ Upper whisker cap │ │ ┊ Whisker line (dashed) │ │ ▄ IQR Box (Q1 to Q3 range) │ │ ━ Volume POC (highest volume) │ │ ● Median (green=bull, red=bear) │ │ ┊ Whisker line (dashed) │ │ ─ Lower whisker cap │ │ ▽ Mild outlier │ │ ▼ Extreme outlier │ └─────────────────────────────────────────┘ █ COLOR SYSTEM Colors indicate the relationship between candle direction and order flow: 🟢 TEAL (Positive Flow) Bullish candle + Positive delta → Strong buying confirmation → Trend continuation signal 🔴 RED (Negative Flow) Bearish candle + Negative delta → Strong selling confirmation → Trend continuation signal 🟠 ORANGE (Mixed Signal A) Bullish candle + Negative delta → Price up but sellers dominated → Potential weakness/reversal warning 🔵 BLUE (Mixed Signal B) Bearish candle + Positive delta → Price down but buyers dominated → Potential accumulation/reversal signal █ SETTINGS Timeframe Settings • LTF Mode — Auto or Manual selection • Manual Timeframe — Specific LTF when in Manual mode • Auto Divisor — Higher = finer granularity (default: 1000) • Allow Sub-Minute — Requires Premium subscription Visual Style • Positive/Negative Flow colors — Customize the 4 flow colors • Box Transparency — Opacity of the quartile box (0-100%) Statistics Display • Show Statistics Panel — Toggle on-chart stats table • Show Timeframe Badge — Toggle LTF indicator badge • Panel Position — Choose corner placement • Panel Size — Text size selection █ HOW TO USE 1. Divergence Detection Look for color mismatches: • Orange bars in uptrend = weakness, potential reversal • Blue bars in downtrend = strength, potential reversal • Multiple consecutive divergent bars strengthen signal • Wait for confirmation before entry 2. Volume POC Trading • POC marks where most volume traded • POC clusters at similar levels = strong S/R zone • Price often returns to POC before continuing • Use POC for entry/exit targeting 3. Trend Confirmation • Consecutive teal = strong uptrend • Consecutive red = strong downtrend • Median position shows intrabar momentum • Wide boxes indicate high volatility 4. Outlier Analysis • Extreme markers (▲▼) often mark stop hunts • Consider fading extremes at key levels • Mild markers (△▽) = areas to watch █ RECOMMENDED SETTINGS For different chart timeframes: │ Chart TF │ Auto Divisor │ Resulting LTF │ ├──────────┼──────────────┼───────────────┤ │ 15M │ 1500 │ ~1M │ │ 1H │ 1000 │ ~3-4s │ │ 4H │ 600 │ ~24s │ │ Daily │ 500 │ ~2-3M │ Tip: Check the TF badge to confirm active sampling timeframe. █ BEST PRACTICES Do: ✓ Use "Bars" chart style for cleanest display ✓ Combine with support/resistance analysis ✓ Wait for confirmation bars ✓ Note POC clusters across multiple bars ✓ Adjust divisor based on your timeframe Avoid: ✗ Trading single bar signals alone ✗ Using during low volume periods ✗ Trading immediately after news releases ✗ Ignoring overall market context █ LIMITATIONS • Requires adequate market liquidity for reliable signals • Sub-minute timeframes need Premium subscription • Historical data depth depends on TradingView's data availability • Delta calculation assumes volume direction matches candle direction █ NOTES This indicator works best on liquid markets (forex majors, major indices, popular stocks/crypto) where volume data is meaningful. The gray dotted vertical line marks where LTF data becomes available - bars before this line won't display the indicator. For questions or suggestions, leave a comment below.
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của A1TradingHub
Dynamic Support Resistance Zones====================================================================== TRADINGVIEW PUBLICATION - DYNAMIC SUPPORT RESISTANCE ZONES ====================================================================== TITLE: Dynamic Support Resistance Zones SHORT TITLE: SR Zones -------------------------------------------------------------------------------- DESCRIPTION (Copy below for TradingView publication) -------------------------------------------------------------------------------- The Dynamic Support Resistance Zones indicator identifies key price levels where potential reversals may occur by analyzing candlestick behavior and volume dynamics together. ▶ CONCEPT AND METHODOLOGY This indicator detects support and resistance levels through a specific combination of three market conditions occurring simultaneously: 1. Candlestick Body Expansion: The current candle's body (distance between open and close) must be larger than the previous candle's body. This signals increased price commitment from market participants. 2. Direction Reversal: The current candle must close in the opposite direction of the previous candle. A bullish candle following a bearish candle suggests potential support formation, while a bearish candle following a bullish candle suggests potential resistance formation. 3. Volume Contraction: The current candle must have lower volume than the previous candle. This condition filters out high-volume breakout moves and focuses on exhaustion patterns where price reverses on decreasing participation. When all three conditions align, the indicator marks the opening price of the previous candle as a significant level. ▶ HOW LEVELS ARE CLASSIFIED Support Zones (Green Lines): Form when a bullish reversal candle appears with an expanded body on declining volume. These represent areas where buying pressure overcame selling pressure. Resistance Zones (Red Lines): Form when a bearish reversal candle appears with an expanded body on declining volume. These represent areas where selling pressure overcame buying pressure. ▶ DYNAMIC LEVEL MANAGEMENT The indicator continuously monitors each level and updates its status: - Active Levels (Solid Lines): Levels that have not been broken by a closing price. These extend forward automatically as new bars form. - Broken Levels (Dashed Lines): When price closes beyond a level, it converts to a dashed line. These broken levels remain visible for potential retest scenarios. - Level Removal: Broken support levels are removed if price closes back above them. Broken resistance levels are removed if price closes back below them. This keeps the chart clean and focused on relevant levels. ▶ TRADING APPLICATIONS Reversal Trading: Look for price approaching active support or resistance levels for potential bounce trades. Breakout Confirmation: When a solid level converts to dashed, it confirms a breakout. The dashed level then becomes a potential retest zone. Trend Analysis: Multiple support levels stacking below price suggests bullish structure. Multiple resistance levels above price suggests bearish structure. Risk Management: Active levels provide logical areas for stop-loss placement just beyond the identified zones. ▶ WHY THIS COMBINATION WORKS The three-filter approach (body expansion + direction change + volume decline) identifies exhaustion reversals rather than continuation patterns. Large body candles show conviction, direction change shows momentum shift, and lower volume suggests the prior move is losing steam rather than breaking out with strength. ▶ SETTINGS This indicator uses fixed detection logic with no adjustable parameters to maintain consistency. The colors are preset: green for support zones and red for resistance zones. ▶ BEST PRACTICES - Works on all timeframes but higher timeframes typically produce more reliable levels - Combine with trend analysis for directional bias - Not all levels will hold; use proper risk management - More effective in ranging or mean-reverting conditions than strong trending markets -------------------------------------------------------------------------------- TAGS (for TradingView) -------------------------------------------------------------------------------- support, resistance, reversal, volume, candlestick, levels, zones, price-action -------------------------------------------------------------------------------- CATEGORY -------------------------------------------------------------------------------- Support and Resistance ======================================================================
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của A1TradingHub
Triple EMA + Key Levels [Scalping-Algo]TITLE: Triple EMA Day Trading System with Multi-Timeframe Support/Resistance Levels DESCRIPTION: 📊 Overview This indicator combines trend-following EMAs with key historical price levels to create a complete day trading toolkit. It helps traders identify trend direction while highlighting important support and resistance zones from multiple timeframes. 🎯 Purpose & Trading Application Day traders often need to quickly assess: 1. Current trend direction (using EMAs) 2. Key price levels where reversals or breakouts may occur This indicator solves both needs in one tool, reducing chart clutter from multiple indicators. 📈 How It Works TREND IDENTIFICATION (EMAs): - EMA 13 (Yellow): Fast EMA for short-term momentum and entry timing - EMA 48 (Purple): Medium EMA for intraday trend direction - EMA 200 (Red): Slow EMA for overall trend bias Trading Logic: - When price is above all 3 EMAs = Strong bullish bias - When price is below all 3 EMAs = Strong bearish bias - EMA crossovers signal potential trend changes - The 13/48 crossover is particularly useful for intraday entries SUPPORT & RESISTANCE LEVELS: - Previous Day High/Low (Green, Solid): Most recent daily range - high probability reaction zones - 2-Day High/Low (Blue, Dashed): Extended lookback for stronger levels - Previous Week High/Low (Orange, Dotted): Major institutional levels Why These Levels Matter: Previous day and weekly highs/lows are watched by many traders and algorithms. Price often: - Reverses at these levels (support/resistance) - Accelerates through them (breakout trades) 🔧 How To Use FOR TREND TRADING: 1. Identify bias using EMA stack (all 3 aligned = strong trend) 2. Look for pullbacks to EMA 13 or 48 for entries 3. Use key levels as profit targets FOR REVERSAL TRADING: 1. Watch for price approaching previous day/week levels 2. Look for rejection candles at these levels 3. Use EMA 13 break as confirmation FOR BREAKOUT TRADING: 1. Identify consolidation near key levels 2. Enter on break of level with volume 3. Use opposite level as target ⚙️ Settings All parameters are fixed for simplicity: - EMAs: 13, 48, 200 periods - Levels: Previous Day, 2-Day, Previous Week - All lines thickness: 2 📝 Notes - Best used on intraday timeframes (1min to 1hour) - Levels update automatically each day/week - Labels on right side identify each level (PDH, PDL, 2DH, 2DL, PWH, PWL) --- TAGS: ema, daytrading, support, resistance, levels, intraday, trend, scalping, swingtrading
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của A1TradingHub
EMA + RSI Autotrade Webhook - VarunOverview The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features Simple & Effective: Uses proven EMA 9/21 crossover strategy RSI Momentum Filter: Eliminates low-probability trades in ranging markets Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms Zero Lag Signals: Real-time alerts on crossover confirmation Visual Clarity: Clean chart markers for easy signal identification How It Works Entry Signals: LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed) SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed) Technical Components: Fast EMA: 9-period (tracks short-term price action) Slow EMA: 21-period (identifies primary trend) RSI: 14-period (confirms momentum strength) RSI Long Threshold: 52 (filters weak bullish signals) RSI Short Threshold: 48 (filters weak bearish signals) Best Use Cases Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts Timeframes: Optimized for 15-minute charts (works on 5min-1H) Markets: Trending crypto markets with clear directional moves Risk Management: Best used with 1-2% stop loss per trade (managed externally) Webhook Automation Setup Add indicator to your TradingView chart Create alerts for "LONG Entry" and "SHORT Entry" Configure webhook URL from your exchange (Delta Exchange, Binance, etc.) Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}} Exchange automatically reverses positions on opposite signals Advantages ✅ No manual trading required - fully automated ✅ Eliminates emotional trading decisions ✅ Catches trending moves early with EMA crossovers ✅ RSI filter reduces whipsaws in choppy markets ✅ Works 24/7 without monitoring ✅ Simple two-alert system (easy to manage) ✅ Compatible with multiple exchanges via webhooksStrategy Philosophy This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing) Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals Position Sizing: 100% capital per signal (exchange manages reversals) Stop Loss: 2% (managed via exchange or external bot) Leverage: 1-2x for conservative approach, up to 5x for aggressive Important Notes ⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange ⚠️ Always backtest on historical data before live trading ⚠️ Use proper risk management and position sizing ⚠️ Best performance in trending markets; may generate false signals in tight ranges ⚠️ Requires TradingView Premium or higher for webhook functionalityTags cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
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của varuns_back
Apex Edge – Liquidity RaiderApex Edge – Liquidity Raider The Predator That Hunts Where Retail Never Looks The Liquidity Raider is not your average liquidity line plotter. This is an institutional-grade hunting system that tracks the pools of liquidity Smart Money algos stalk — and tells you exactly when price is circling in for the strike. Where most retail tools simply mark lines, this one acts like a predator: Scans the chart dynamically to detect clustered highs & lows (pivot-based liquidity zones). Filters noise with sensitivity & price rounding so you only get real liquidity levels — not every random swing. Plots live BSL (Buy-Side Liquidity) & SSL (Sell-Side Liquidity) lines in clean dotted format. Auto-deletes levels when swept, so your chart stays clean and focused. Triggers directional arrows when price comes within your specified % distance to the target liquidity pool — before the market moves. EMA confluence layer lets you align with institutional flow (customizable Fast & Slow EMAs). Core Power Cluster Logic – Finds high-probability liquidity zones using repeated pivot levels. Sweep Awareness – Lines vanish the moment liquidity is taken, keeping focus on the next pool. Proximity Strike Detection – Arrow signals only when price is within striking range. Directional Clarity – Red arrows = targeting BSL, Green arrows = targeting SSL. Scalable Across Timeframes – Adapts to your chart’s timeframe with dynamic lookback scaling. Institutional Flow Filter – Optional EMA confirmation keeps you aligned with the real trend. How to Use Identify liquidity pools – Dotted green = buy-side, dotted red = sell-side. Watch proximity arrows – These mean price is in range and hunting that pool. Align with EMA bias – Enter only in the direction of institutional momentum. Target the sweep – Your take profit is where the liquidity is resting. Why Liquidity Raider Wins This is not a lagging signal system. It’s a real-time, clean, predictive tool designed to mimic the targeting logic of high-frequency algos. By removing swept levels and focusing only on the next available pools, Liquidity Raider keeps you one step ahead of the crowd — and perfectly positioned for the kill shot.
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của ApexEdge
11
VegaAlgo – Rating ViewVegaAlgo – Rating View is a market condition analysis tool designed to evaluate the current price structure. The indicator calculates a RATING (from 0 to 100) that reflects how clean, directional, and structured the recent price movement is. The rating is based on the number of price direction changes (from bullish to bearish candles and vice versa) within a selected period. Fewer direction changes indicate a clearer trend and result in a higher rating, while a choppy or highly volatile market leads to a lower score. Additionally, the indicator provides directional signals on three key timeframes — 1M, 5M, and 15M, using a comparison of fast and slow moving averages. This allows traders to quickly assess the dominant trend both locally and across higher timeframes. This script is intended for visual market analysis only and should not be considered financial advice.
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của VegaAlgo
ThinkTech AI SignalsThink Tech AI Strategy The Think Tech AI Strategy provides a structured approach to trading by integrating liquidity-based entries, ATR volatility thresholds, and dynamic risk management. This strategy generates buy and sell signals while automatically calculating take profit and stop loss levels, boasting a 64% win rate based on historical data. Usage The strategy can be used to identify key breakout and retest opportunities. Liquidity-based zones act as potential accumulation and distribution areas and may serve as future support or resistance levels. Buy and sell zones are identified using liquidity zones and ATR-based filters. Risk management is built-in, automatically calculating take profit and stop loss levels using ATR multipliers. Volume and trend filtering options help confirm directional bias using a 50 EMA and RSI filter. The strategy also allows for session-based trading, limiting trades to key market hours for higher probability setups. Settings The risk/reward ratio can be adjusted to define the desired stop loss and take profit calculations. The ATR length and threshold determine ATR-based breakout conditions for dynamic entries. Liquidity period settings allow for customized analysis of price structure for support and resistance zones. Additional trend and RSI filters can be enabled to refine trade signals based on moving averages and momentum conditions. A session filter is included to restrict trade signals to specific market hours. Style The strategy includes options to display liquidity lines, showing key support and resistance areas. The first 15-minute candle breakout zones can also be visualized to highlight critical market structure points. A win/loss statistics table is included to track trade performance directly on the chart. This strategy is intended for descriptive analysis and should be used alongside other confluence factors. Optimize your trading process with Think Tech AI today!
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của Theonealgo
Flow Optimized Moving AverageOverview The Flow Optimized Moving Average (Flow OMA) is an advanced adaptive moving average designed to dynamically adjust smoothing factors based on market efficiency and volatility. By integrating the Efficiency Ratio (ER) with an Adaptive Moving Average (AMA) and leveraging ATR-based bands, this indicator provides traders with a refined tool for identifying trend direction, strength, and potential reversal zones. Key Features Adaptive Moving Average (AMA) Adjusts to price action based on the Efficiency Ratio (ER), reducing lag in trending markets while smoothing noise in ranging conditions. Efficiency Ratio (ER) Measures the effectiveness of price movement over a defined lookback period. Helps in dynamically adjusting the smoothing constant of the AMA. ATR-Based Volatility Bands Creates upper and lower dynamic bands based on the Average True Range (ATR). Expands in high volatility and contracts in low volatility, providing traders with a contextual understanding of price action. Slope-Based Trend Strength Normalizes the moving average slope relative to ATR. Generates a trend strength score, which influences band opacity, making strong trends visually distinguishable. Dynamic Color Coding Bullish Trends: Cyan/Turquoise (#00e2ff) Bearish Trends: Blue (#003ff5) Neutral Trends: Gray The transparency of the bands dynamically adjusts based on trend strength. Fill Zone Effect The area between the ATR bands is filled with a gradient-like effect, giving a clear visual representation of trend strength and transitions. Indicator Components Inputs (User Settings) ER Lookback Period: Defines how many bars are used in the Efficiency Ratio calculation (default: 10). Fast & Slow Periods: Control the sensitivity of the Adaptive Moving Average (default: 2 & 30). ATR Period: Defines the lookback for Average True Range (default: 14). Band Multiplier: Determines the width of ATR-based bands (default: 1.5). Slope Average Period: Smooths trend slope for more stable trend assessment (default: 5). Efficiency Ratio Calculation Measures how effectively price moves in a straight line compared to its total movement. A higher ER value suggests strong trend momentum, while a lower value implies consolidation. Adaptive Moving Average (AMA) Dynamically adjusts its smoothing factor based on ER. Uses a smoothing constant that ranges between the fastest and slowest specified values. Volatility-Based Bands Constructed using the ATR multiplier. Expand and contract dynamically in response to market volatility. Trend Strength & Direction Computed using the normalized slope of AMA against ATR. Positive slope = Bullish trend, Negative slope = Bearish trend. Visual Enhancements Colored Adaptive MA Line: Changes based on trend direction. ATR Bands with Gradient Fill: Visual representation of market conditions. Dynamic Opacity: Highlights trend strength through transparency. How to Use the Flow OMA Indicator Trend Identification When the Adaptive MA is rising and colored cyan, a bullish trend is in play. When the Adaptive MA is falling and colored blue, a bearish trend is present. Trend Strength Assessment A stronger trend results in more opaque band fills, indicating a clear directional bias. Weaker trends or consolidations result in fainter fills, signaling a loss of momentum. Reversal Signals If price touches the upper band in a bullish move and starts reversing, it can indicate potential profit-taking areas. If price approaches the lower band in a bearish move and rebounds, a short-term reversal may be imminent. Volatility Insights Narrow bands indicate low volatility and possible breakout conditions. Wider bands suggest increased volatility, warning traders of potential price swings. Best Practices ✅ Combine with Other Indicators Use RSI, MACD, or Volume Profile for confirmation before executing trades. ✅ Apply to Multiple Timeframes Works effectively in higher timeframes (1H, 4H, Daily) for trend trading. Can be utilized in lower timeframes (5m, 15m) for scalping setups. ✅ Adjust Parameters Based on Asset Volatility Increase ATR Period for stocks with high volatility. Reduce ATR Multiplier for forex pairs to avoid excessive band width. The Flow Optimized Moving Average (Flow OMA) is a powerful trend-following tool designed for both swing and intraday traders. Its adaptive nature allows it to efficiently track trends while minimizing false signals. By incorporating dynamic volatility bands and trend-sensitive color coding, this indicator enhances traders' ability to read price action effectively. Whether used standalone or in combination with other indicators, Flow OMA provides a significant edge in trend analysis.
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của paradoxalgo
1
Volume Flow Indicator Signals | iSolani Volume Flow Indicator Signals | iSolani: Decoding Trend Momentum with Volume Precision In markets where trends are fueled by institutional participation, discerning genuine momentum from false moves is critical. The Volume Flow Indicator Signals | iSolani cuts through this noise by synthesizing price action with volume dynamics, generating high-confidence signals when capital flows align with directional bias. This tool reimagines traditional volume analysis by incorporating volatility-adjusted thresholds and dual-layer smoothing, offering traders a laser-focused approach to trend identification. Core Methodology The indicator employs a multi-stage calculation to quantify volume-driven momentum: Volatility-Adjusted Filter: Measures price changes via log returns, scaling significance using a 30-bar standard deviation multiplied by user-defined sensitivity (default: 2x). Volume Normalization: Caps extreme volume spikes at 3x the 50-bar moving average, preventing distortion from anomalous trades. Directional Volume Flow: Assigns positive/negative values to volume based on whether price movement exceeds volatility-derived thresholds. Dual Smoothing: Applies consecutive SMA (3-bar) and EMA (14-bar) to create the Volume Flow Indicator (VFI) and its signal line, filtering out transient fluctuations. Breaking New Ground This implementation introduces three key innovations: Adaptive Noise Gates: Unlike static volume oscillators, the sensitivity coefficient dynamically adjusts to market volatility, reducing false signals during choppy conditions. Institutional Volume Capping: The vcoef parameter limits the influence of outlier volume spikes, focusing on sustained institutional activity rather than one-off trades. Non-Repainting Signals: Generates single-per-trend labels (buy below bars, sell above) to avoid chart clutter while maintaining visual clarity. Engine Under the Hood The script executes through five systematic stages: Data Preparation: Computes HLC3 typical price and its logarithmic rate of change. Threshold Calculation: Derives dynamic cutoff levels using 30-period volatility scaled by user sensitivity. Volume Processing: Filters raw volume through a 50-bar SMA, capping extremes at 3x average. VFI Construction: Sums directional volume flow over 50 bars, smoothed with a 3-bar SMA. Signal Generation: Triggers alerts when VFI crosses zero, confirmed by a 14-bar EMA crossover. Standard Configuration Optimized defaults balance responsiveness and reliability: Volume MA: 50-bar smoothing window Sensitivity: 2.0 (doubles volatility threshold) Signal Smoothing: 14-bar EMA Volume Cap: 3x average (hidden parameter) VFI Smoothing: Enabled (3-bar SMA) By fusing adaptive volume filtering with price confirmation logic, the Volume Flow Indicator Signals | iSolani transforms raw market data into institutional-grade trend signals. Its ability to mute choppy price action while amplifying high-conviction volume moves makes it particularly effective for spotting early trend reversals in equities, forex, and futures markets.
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của Quantura
Algo Market Structure (Nephew_Sam_)This indicator takes a different approach into reading market structure. The key difference between this logic compared to the pivot logic is; we read highs and lows based on bullish and bearish candles. Ie: Pivot method - highest/lowest point in previous and next X candles Algo method - Bullish candle(s) followed by a bearish candle and vice versa More explanation in each of the key feature below. Here are all of the concepts and features included in the indicator: Timeframe - You can select the timeframe of the indicator (has to be higher or equal to the chart timeframe) - Min option is the minimum timeframe to show the indicator. If you show daily structure on 1m chart, you can run into a timeout error so keep it close to the chart timeframe. - Recommended timeframe for no bugs is the current chart timeframe. Structure The structure is calculated using a combination of candle patterns (ie. pivot top = Bullish x3-Bearish-Bullish) and marks out circle labels after a new HH or LL Structure high = 1 or more consecutive bull candles followed by a bear candle Structure low = 1 or more consecutive bear candles followed by a bull candle Structure direction change = when the second previous H/L is taken out (TLQ) ILQ - Inducement Liquidity concept In a bearish example this is the most recent structure high. TLQ In a bearish example this is the second most recent structure high. This is also what helps define our structure direction. If broken, the structure changes (bullish / bearish) and plots a bos line. EPA - Efficient price action When price returns back to previous structure point after bos. Similar to an ICT breaker. Note: It might be a little, just a little buggy if you have set your indicator timeframe to higher than the chart timeframe. Extremes Zones The final zone to find a trade entry before a structural shift. These are wick of the TLQ candle. This is select the wick of the current timeframe candle even if indicator is set to higher timeframe. MSU Tiny arrow labels at the bottom of your chart. Plots the arrows when price is between an ILQ and TLQ VTA Valid trading range. This is when we get some sort of a structure pattern. Plots a box when price induces previous structure point and then breaks structure in the opposite direction. Here are the patterns: Bull VTA - HH-LL-HH Bear VTA - LL-HH-LL Bull Strict VTA - LL-HH-LL-HH Bear Strict VTA - HH-LL-HH-LL Bar colors Changes the bar color based on the structure to all green/red. Note: for this to work, you will have to right click on the indicator, then under visual order select 'bring to front' Table This table plots the structure stats/data 1. If structure is bullish / bearish 2. If price is efficient or not 3. If there is an MSU 4. If price is inside a VTA Disclaimer: This indicator is fully written from scratch by me, the idea behind the concepts come from AlgoHub material on Youtube. Do NOT use this code for reselling purposes and if anything is created using any part of this code, the source code should be public.
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của nephew_sam_
22
ICT Kill Zones [dR-Algo]ICT Kill Zones Indicator by dR-Algo Introducing the dR-Algo's ICT Kill Zones Indicator – a tool meticulously crafted to blend with the elegance of the ICT Concept of Kill Zones. Built for traders who seek clarity and focus, this unique indicator is tailored to highlight the essential time frames while ensuring minimal distraction from the core price action. Key Features: Three Kill Zones: London Kill Zone: Kickstart your trading day with the London Kill Zone, highlighting the critical period between 03:00 to 04:00 (UTC-4). The London session, known for its volatility due to the overlapping of the Asian session, is captured precisely for your benefit. NY AM Session: As the European markets gear towards close and the US markets come alive, our indicator emphasizes the activity from 10:00 to 11:00 (UTC-4). It’s a window where significant market moves often originate. NY PM Session: Capture the late-day trading action between 14:00 to 15:00 (UTC-4). As markets prepare to close, this time frame can offer last-minute opportunities. Subtle Yet Effective Visualization: Unlike many other indicators that bombard traders with an array of colors, our ICT Kill Zones Indicator is intentionally designed to be subtle. It provides just the right amount of visual emphasis without overwhelming the chart. The primary goal is to let traders focus on what truly matters: the price action. User-Friendly Customization: The indicator's settings can be easily tailored to align with individual trading styles, allowing traders to adjust and tweak as per their preference. Seamless Integration with Trading View: Smoothly integrates with your TradingView charts ensuring optimal performance and real-time responsiveness. Why Choose Our ICT Kill Zones Indicator? The market is flooded with indicators, each promising to be the 'next big thing.' What sets dR-Algo's ICT Kill Zones Indicator apart is its dedication to simplicity and effectiveness. It's not just about adding an indicator to your chart; it's about adding value to your trading experience. By seamlessly merging vital time frames without overshadowing the price action, we ensure traders get the best of both worlds. Join the trading revolution with dR-Algo and embrace a focused approach to the markets.
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của dR-Algo
1
Quantitative Trend Strategy- Uptrend longTrend Strategy #1 Indicators: 1. SMA 2. Pivot high/low functions derived from SMA 3. Step lines to plot support and resistance based on the pivot points 4. If the close is over the resistance line, green arrows plot above, and vice versa for red arrows below support. Strategy: 1. Long Only 2. Mutable 2% TP/1.5% SL 3. 0.01% commission 4. When the close is greater than the pivot point of the sma pivot high, and the close is greater than the resistance step line, a long position is opened. *At times, the 2% take profit may not trigger IF; the conditions for reentry are met at the time of candle closure + no exit conditions have been triggered. 5. If the position is in the green and the support step line crosses over the resistance step line, positions are exited. How to use it and what makes it unique: Use this strategy to trade an up-trending market using a simple moving average to determine the trend. This strategy is meant to capture a good risk/reward in a bullish market while staying active in an appropriate fashion. This strategy is unique due to it's inclusion of the step line function with statistics derived from myself. This description tells the indicators combined to create a new strategy, with commissions and take profit/stop loss conditions included, and the process of strategy execution with a description on how to use it. If you have any questions feel free to PM me and boost if you enjoyed it. Thank you, pineUSERS!
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của CheatCode1
30 Second Futures Session Open RangeThis indicator displays 30 second opening ranges from Globex, Europe, and RTH sessions. From the RTH session range, it also displays infinitely generating Price Targets based on a % of the opening range size. I am retrieving the 30 second data using the new "request.security_lower_tf()" function. The importance of these levels is based on the idea that when the market opens, algorithms establish their positions within the first 30 seconds. These areas can also be seen as potential areas of support and resistance throughout the sessions. Enjoy!
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của SamRecio
32
Bjorgum Double Tap█   OVERVIEW Double Tap is a pattern recognition script aimed at detecting Double Tops and Double Bottoms. Double Tap can be applied to the broker emulator to observe historical results, run as a trading bot for live trade alerts in real time with entry signals, take profit, and stop orders, or to simply detect patterns. █   CONCEPTS How Is A Pattern Defined? Doubles are technical formations that are both reversal patterns and breakout patterns. These formations typically have a distinctive “M” or a “W” shape with price action breaking beyond the neckline formed by the center of the pattern. They can be recognized when a ​pivot fails to break when tested for a second time and the retracement that follows breaks beyond the key level opposite. This can trap entrants that were playing in the direction of the prior trend. Entries are made on the breakout with a target projected beyond the neckline equal to the height of the pattern. Pattern Recognition Patterns are recognized through the use of ​zig-zag; a method of filtering price action by connecting swing highs and lows in an alternating fashion to establish trend, ​support and resistance, or derive shapes from price action. The script looks for the highest or lowest point in a given number of bars and updates a list with the values as they form. If the levels are exceeded, the values are updated. If the direction changes and a new significant point is made, a new point is added to the list and the process starts again. Meanwhile, we scan the list of values looking for the distinctive shape to form as previously described. █   STRATEGY RESULTS Back Testing Historical back testing is the most common method to test a strategy due in part to the general ease of gathering quick results. The underlying theory is that any strategy that worked well in the past is likely to work well in the future, and conversely, any strategy that performed poorly in the past is likely to perform poorly in the future. It is easy to poke holes in this theory, however, as for one to accept it as gospel, one would have to assume that future results will match what has come to pass. The randomness of markets may see to it otherwise, so it is important to scrutinize results. Some commonly used methods are to compare to other markets or benchmarks, perform statistical analysis on the results over many iterations and on differing datasets, walk-forward testing, out-of-sample analysis, or a variety of other techniques. There are many ways to interpret the results, so it is important to do research and gain knowledge in the field prior to taking meaningful conclusions from them. 👉  In short, it would be naive to place trust in one good backtest and expect positive results to continue. For this reason, results have been omitted from this publication. Repainting Repainting is simply the difference in behaviour of a strategy in real time vs the results calculated on the historical dataset. The strategy, by default, will wait for confirmed signals and is thus designed to not repaint. Waiting for bar close for entires aligns results in the real time data feed to those calculated on historical bars, which contain far less data. By doing this we align the behaviour of the strategy on the 2 data types, which brings significance to the calculated results. To override this behaviour and introduce repainting one can select "Recalculate on every tick" from the properties tab. It is important to note that by doing this alerts may not align with results seen in the strategy tester when the chart is reloaded, and thus to do so is to forgo backtesting and restricts a strategy to forward testing only. 👉  It is possible to use this script as an indicator as opposed to a full strategy by disabling "Use Strategy" in the "Inputs" tab. Basic alerts for detection will be sent when patterns are detected as opposed to complex order syntax. For alerts mid-bar enable "Recalculate on every tick" , and for confirmed signals ensure it is disabled. █   EXIT ORDERS Limit and Stop Orders By default, the strategy will place a stop loss at the invalidation point of the pattern. This point is beyond the pattern high in the case of Double Tops, or beneath the pattern low in the case of Double Bottoms. The target or take profit point is an equal-legs measurement, or 100% of the pattern height in the direction of the pattern bias. Both the stop and the limit level can be adjusted from the user menu as a percentage of the pattern height. Trailing Stops Optional from the menu is the implementation of an ATR based trailing stop. The trailing stop is designed to begin when the target projection is reached. From there, the script looks back a user-defined number of bars for the highest or lowest point +/- the ATR value. For tighter stops the user can look back a lesser number of bars, or decrease the ATR multiple. When using either Alertatron or Trading Connector, each change in the trail value will trigger an alert to update the stop order on the exchange to reflect the new trail price. This reduces latency and slippage that can occur when relying on alerts only as real exchange orders fill faster and remain in place in the event of a disruption in communication between your strategy and the exchange, which ensures a higher level of safety. 👉  It is important to note that in the case the trailing stop is enabled, limit orders are excluded from the exit criteria. Rather, the point in time that the limit value is exceeded is the point that the trail begins. As such, this method will exit by stop loss only. █   ALERTS Five Built-in 3rd Party Destinations The following are five options for delivering alerts from Double Tap to live trade execution via third party ​API solutions or chat bots to share your trades on social media. These destinations can be selected from the input menu and alert syntax will automatically configure in alerts appropriately to manage trades. Custom JSON JSON, or JavaScript Object Notation, is a readable format for structuring data. It is used primarily to transmit data between a server and a web application. In regards to this script, this may be a custom intermediary web application designed to catch alerts and interface with an exchange ​API. The JSON message is a trade map for an application to read equipped with where its been, where its going, targets, stops, quantity; a full diagnostic of the current state and its previous state. A web application could be configured to follow the messages sent in this format and conduct trades in sync with alerts running on the TV server. Below is an example of a rendered JSON alert: { "passphrase": "1234", "time": "2022-05-01T17:50:05Z", "ticker": "ETHUSDTPERP", "plot": { "stop_price": 2600.15, "limit_price": 3100.45 }, "strategy": { "position_size": 0.1, "order_action": "buy", "market_position": "long", "market_position_size": 0, "prev_market_position": "flat", "prev_market_position_size": 0 } } Trading Connector Trading Connector is a third party fully autonomous Chrome extension designed to catch alert webhooks from TradingView and interface with MT4/MT5 to execute live trades from your machine. Alerts to Trading Connector are simple; just select the destination from the input drop down menu, set your ticker in the "TC Ticker" box in the "Alert Strings" section and enter your URL in the alert window when configuring your alert. Alertatron Alertatron is an automated algo platform for cryptocurrency trading that is designed to automate your trading strategies. Although the platform is currently restricted to crypto, it offers a versatile interface with high flexibility syntax for complex market orders and conditions. To direct alerts to Alertatron, select the platform from the 3rd party drop down, configure your ​API key in the ”Alertatron Key” box and add your URL in the alert message box when making alerts. 3 Commas 3 Commas is an easy and quick to use click-and-go third party crypto ​API solution. Alerts are simple without overly complex syntax. Messages are simply pasted into alerts and executed as alerts are triggered. There are 4 boxes at the bottom of the "Inputs" tab where the appropriate messages to be placed. These messages can be copied from 3 Commas after the bots are set up and pasted directly into the settings menu. Remember to select 3 Commas as a destination from the third party drop down and place the appropriate URL in the alert message window. Discord Some may wish to share their trades with their friends in a Discord chat via webhook chat bot. Messages are configured to notify of the pattern type with targets and stop values. A bot can be configured through the integration menu in a Discord chat to which you have appropriate access. Select Discord from the 3rd party drop down menu and place your chat bot URL in the alert message window when configuring alerts. 👉  For further information regarding alert setup, refer to the platform specific instructions given by the chosen third party provider. █   IMPORTANT NOTES Setting Alerts For alert messages to be properly delivered on order fills it is necessary to place the following placeholder in the alert message box when creating an alert. {{strategy.order.alert_message}} This placeholder will auto-populate the alert message with the appropriate syntax that is designated for the 3rd party selected in the user menu. Order Sizing and Commissions The values that are sent in alert messages are populated from live metrics calculated by the strategy. This means that the actual values in the "Properties" tab are used and must be set by the user. The initial capital, order size, commission, etc. are all used in the calculations, so it is important to set these prior to executing live trades. Be sure to set the commission to the values used by the exchange as well. 👉  It is important to understand that the calculations on the account size take place from the beginning of the price history of the strategy. This means that if historical results have inflated or depleted the account size from the beginning of trade history until now, the values sent in alerts will reflect the calculated size based on the inputs in the "Properties" tab. To start fresh, the user must set the date in the "Inputs" tab to the current date as to remove trades from the trade history. Failure to follow this instruction can result in an unexpected order size being sent in the alert. █   FOR PINECODERS  • With the recent introduction of matrices in Pine, the script utilizes a matrix to track ​pivot points with the bars they occurred on, while tracking if that ​pivot has been traded against to prevent duplicate detections after a trade is exited.  • Alert messages are populated with placeholders ; capability that previously was only possible in alertcondition() , but has recently been extended to `strategy.*()` functions for use in the `alert_message` argument. This allows delivery of live trade values to populate in strategy alert messages.  • New arguments have been added to strategy.exit() , which allow differentiated messages to be sent based on whether the exit occurred at the stop or the limit. The new arguments used in this script are `alert_profit` and `alert_loss` to send messages to Discord
Chiến lược
của Bjorgum
80
BollingerBands Strat + pending order alerts via TradingConnectorSoftware part of algotrading is simpler than you think. TradingView is a great place to do this actually. To present it, I'm publishing each of the default strategies you can find in Pinescript editor's "built-in" list with slight modification - I'm only adding 2 lines of code, which will trigger alerts, ready to be forwarded to your broker via TradingConnector and instantly executed there. Alerts added in this script: 14, 17, 20 and 23. SCRIPT INCLUDES PENDING ORDERS AND ALERTS! Alert will be sent to MetaTrader when order is triggered, but not yet filled. That means if market conditions change and order does not get filled, it needs to be cancelled as well, and there are alerts for that in the script as well. How it works: 1. TradingView alert fires. 2. TradingConnector catches it and forwards to MetaTrader4/5 you got from your broker. 3. Trade gets executed inside MetaTrader within 1 second of fired alert. When configuring alert, make sure to select "alert() function calls only" in CreateAlert popup. One alert per ticker is required. Adding stop-loss, take-profit, trailing-stop, break-even or executing pending orders is also possible. These topics have been covered in other example posts. This routing works for Forex, indices, stocks, crypto - anything your broker offers via their MetaTrader4 or 5. Disclaimer: This concept is presented for educational purposes only. Profitable results of trading this strategy are not guaranteed even if the backtest suggests so. By no means this post can be considered a trading advice. You trade at your own risk. If you are thinking to execute this particular strategy, make sure to find the instrument, settings and timeframe which you like most. You can do this by your own research only.
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của Peter_O
1