Inizia

Volume

The Adam Khoo Magic with Williams %RTotally inspired by Adam Khoo's analogy This is meant for the monthly bar: Where you try to find the highest point of the average recession/correction time to the bottom: average correction time to bottom: 4.2months average bear market time to bottom: 13months (default) Plot/Fill chart with the 4 tranches recommended: -8%, -15%, -21% and -35% to gauge entry point Changed that hardcoded timeframe to follow the dynamic highlength Added new way of how Adam predicts potential bottom by looking at Williams %R 52 & 13.
Indicatore Pine Script®
di BarryShooshooga
BTC Breakout Alert📈 BTC Breakout & Fakeout Detector with Volume, RSI & MACD Filters This script helps identify high-confidence breakout setups by combining price action, volume spikes, and optional momentum filters (RSI & MACD). It’s designed to alert you when Bitcoin (or any asset) breaks above a defined resistance level with strong conviction — and warns you if that move turns out to be a fakeout. 🔍 Features: ✅ Confirmed Breakout Alerts: Triggers when price closes above your set resistance level with volume ≥ 1.5× the 20-period average. ⚠️ Fakeout Detection: Highlights when price closes back below resistance within a few candles after breakout. 📊 Momentum Filters: RSI > 50 for bullish confirmation MACD line > signal line to support breakout momentum 🔔 Custom Alerts: Built-in alert conditions for both breakout and fakeout events. 🔼🔽 Visual Markers: Arrows plotted directly on the chart for clear entry and caution zones. 🕒 Works on all timeframes and any asset that includes volume data. Ideal for breakout traders who want more than just a price spike — this tool ensures volume and momentum alignment, helping you reduce false signals and react with more confidence.
Indicatore Pine Script®
di Clurker
Koncorde Simplificado by TANO🔍 KONKORDE Indicator – Smart Volume Analysis This script is based on the popular Blai5 Koncorde, adapted for TradingView. It detects activity from smart money (institutions) and retail traders, combining volume, trend, and oscillators to highlight accumulation, distribution, and potential market traps. 📊 Perfect for traders looking to confirm entries or exits using volume behavior and smart money movement. ✅ Features: Visual detection of institutional buying/selling. Retail trader activity tracking. Noise filtering with smooth signal processing. Works across all timeframes. ⚠️ Reminder: No indicator guarantees results. Use it as a supporting tool within a well-defined strategy. 💬 If you find it useful, leave a comment or share it! 🔍 Indicador KONKORDE – Análisis de Volumen Inteligente Este script está basado en el popular Blai5 Koncorde, adaptado para TradingView. Detecta la actividad de las manos fuertes (institucionales) y las manos débiles (retail) combinando volumen, tendencia y osciladores para identificar zonas de acumulación, distribución y posibles engaños del mercado. 📊 Ideal para traders que buscan confirmar entradas o salidas basándose en la acción del volumen y el comportamiento del dinero inteligente. ✅ Funciones: Detección visual de compras/ventas institucionales. Comportamiento de minoristas (retail). Filtrado de ruido con suavizado inteligente. Compatible con cualquier marco temporal. ⚠️ Recuerda: ningún indicador garantiza resultados. Úsalo como complemento dentro de una estrategia bien definida. 💬 Si te resulta útil, ¡déjame un comentario o compártelo!
Indicatore Pine Script®
di Tano-Arg
Buy/Sell Signal Indikator (EMA + StochRSI + Volumen) v3This buy and sell indicator works with the EMA 20, EMA 50, EMA 200, Stochastic RSI, Vol and Vol MA indicators in the background and is primarily intended for scalping trading on the 1-minute timeframe. Buy Signal: EMA 50 is above EMA 200 + EMA 20 is above EMA 50 + Stochastic RSI is below 15 + Vol is at least 15% above Vol MA + Current price is within 0.2% of EMA 50 + Between 2:00 AM and 1:30 PM (UTC-4 NYC) Sell Signal : EMA 50 is below EMA 200 + EMA 20 is below EMA 50 + Stochastic RSI is above 85 + Vol is at least 15% above Vol MA + Current price is within 0.2% of EMA 50 + Between 2:00 AM and 1:30 PM (UTC-4 NYC)
Indicatore Pine Script®
di valin1wbt
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines —  ZVOL  ( volume anomaly detection ) and  OBVX  ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes  optical tensegrity  to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame. 🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets,  Volumetric Tensegrity  captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes. 🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate. 🧠 Core Logic - VTense separates and preserves two essential structural forces: • ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior. • OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off. 🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint. 🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points  before  price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation. 🪖 From Generals to Scouts 👀 When used jointly,  ZVOL + OBVX  act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a  scout  — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate. 🥂 Use the ZVOL + OBVX pair when : • You need independent axis control and manual dissection • You’re building long-form confluence setups • You have more indicator slots than you need 🔎 Use VTense when : • You need compact clarity across multiple instruments • You’re prioritizing confluence _detection_ over granular separation • You’re building efficient multi-layered systems under slot constraints 🏗️ Structural Behavior and Interpretation 🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline 🔵  Compression Coil  – volume volatility is low and stable; the market is coiling 🟢  Steady Rhythm  – volume is healthy but unremarkable; balanced participation 🟡  Passive/Absorbed Effort  – expansion failing to manifest; watch for reversal 🟠  Clean Expansion  – actionable volatility rise backed by structure 🔴  Volatile Blowout  – chaos, climax; likely end-phase or fakeout ⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically  abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field. 🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves 🔑 The curvature of the spread reveals not just directional bias but  crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision. • Green Rising : Accumulation — upward pressure from real buyers • Red Falling : Distribution — sell pressure, downward slope • Flat Curves : Transitional → uncertainty, microstructure digestion 🎭 Synchronized vs Divergent Behavior ⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves. • ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure • ZVOL expands while OBVX steepens red = growing sell-side intent 🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps. • ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment ⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release. • ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy • After prolonged drift, expect violent asymmetry when balance finally breaks 📚 Phase Interpretation: Dynamic Structural Read • 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency • 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension • 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment • 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal 💡 Suggested Use • Run on 15m charts for breakout anticipation and 1H for validation • Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase • Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.) • Ideal during low-volume regimes to detect pressure buildup before triggers 🧏🏻 Volumetric Tensegrity doesn’t signal. It  breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
Indicatore Pine Script®
di TheLeadingIndicator
1
Arrow's Flexible MA Cross Strategy [API Ready]Arrow's High-Frequency MA Cross Scalper By: © ArrowTrade === OVERVIEW === This strategy is engineered for high-frequency trading and scalping opportunities, utilizing rapid Moving Average (MA) crossovers coupled with essential filters and precise risk management tools. Developed by ArrowTrade, it's specifically designed for seamless integration with automated trading systems via API (webhooks, etc.), enabling swift execution of short-term signals. While adaptable, its core design favors capturing small, quick price movements typical of scalping approaches. === CORE LOGIC === Entry Signal: Primary entries are triggered by the crossover/crossunder of a Fast MA and a Slow MA. Configurable MA types (EMA, SMA, WMA, HMA, VWMA) and periods allow fine-tuning signal sensitivity for different market rhythms. Trend Filter (Optional): A longer-term MA acts as a regime filter. When enabled, entries are only permitted in the direction of this broader trend, aiming to avoid counter-trend scalps in strongly directional markets. Confirmation Filters (Optional): ATR Volatility Filter: Designed to pause entries during extremely flat or "dead" markets where volatility drops below a dynamic threshold (based on average ATR). This helps prevent whipsaws in non-trending, low-energy conditions. Volume Filter: Validates entry signals by requiring a minimum level of market participation (volume compared to its moving average). This helps avoid entries based on low-liquidity spikes or insignificant price action. === RISK MANAGEMENT SUITE (Crucial for Scalping) === Initial Volatility Stop: An ATR-based initial stop provides an objective starting point for risk definition on each trade, adapting to recent volatility. Tighter multipliers are often preferred for scalping. ATR Trailing Stop: Essential for dynamic markets. Trails the stop loss behind favorable price action, aiming to protect profits on successful scalps while cutting losses relatively quickly if the move reverses. Fine-tune the ATR period and multiplier for desired responsiveness. Break-Even Stop (Optional): Can be configured to automatically move the stop to entry (plus buffer) once TP1 is hit or price travels a specific ATR distance. Useful for quickly neutralizing risk on a trade that has shown initial promise. Dual Take Profit Levels: TP1: Designed for rapid, partial profit-taking. Set a tight percentage target and define the portion (%) of the position to close (e.g., 50%). This secures initial gains quickly, a key element in many scalping systems. TP2: Target for the remaining portion of the position, aiming for a slightly larger move if the initial momentum continues. Fixed Quantity Sizing: Enables precise control over position size per trade, crucial for consistent risk application in high-frequency environments and straightforward API command generation. === INTENDED USE: HIGH-FREQUENCY & API AUTOMATION === This strategy is purpose-built for traders leveraging API automation for high-frequency scalping. Parameter Tuning for Scalping: Achieve higher signal frequency by using: Shorter Fast MA Period and Slow MA Period. Faster MA Types like EMA or HMA. Tighter Initial Stop ATR Multiplier and Trailing ATR Multiplier. Smaller TP1 Target (%) and potentially TP2 Target (%). Careful adjustment of ATR Volatility Filter and Volume Filter thresholds to balance signal frequency with noise reduction. API Integration: The strategy's clear entry (MA Cross + Filters OK) and exit logic (SL Hit, TP Limit Hit) generates unambiguous signals. Use TradingView alerts (alertcondition or native strategy alerts) configured with webhook URLs to trigger your external trading bot (e.g., 3Commas, PineConnector, custom solutions) for near-instantaneous order execution. The fixed quantity simplifies the payload sent to your API endpoint. === RISK MANAGEMENT FOR SCALPING === High-frequency trading requires extremely disciplined risk management: Position Size (qtyValue): CRITICAL. Calculate this based on a small, fixed percentage of your capital risked per trade (e.g., 0.25% - 1%) relative to your initial stop distance. Due to the high number of trades, even small consistent losses can accumulate rapidly if sizing is too large. Stop Loss: NON-NEGOTIABLE. Always use stops. Scalping often benefits from tighter initial stops combined with an aggressive trailing stop to protect small gains. Commissions & Slippage: Account for these meticulously in settings and backtests. High trade frequency means these costs significantly impact net profitability. Ensure commission_value and slippage inputs reflect your actual trading environment. Overfitting: Be highly aware of overfitting during optimization, especially with many parameters. Validate results on out-of-sample data or through forward testing. === CUSTOMIZATION & OPTIMIZATION === Explore different Signal Source options (e.g., hlc3) for potentially smoother MA signals. Systematically optimize MA lengths, filter parameters, ATR multipliers, and TP percentages using TradingView's Strategy Tester, focusing on metrics like Profit Factor, Sharpe Ratio (or Sortino), and Net Profit while keeping Max Drawdown within acceptable limits. Test different combinations of the optional filters. Sometimes fewer filters can perform better. === DISCLAIMER === Trading involves substantial risk. Past performance is not indicative of future results. This script is provided for educational and informational purposes only and does not constitute financial advice. © ArrowTrade makes no guarantees regarding the performance or profitability of this strategy. You are solely responsible for all trading decisions and risk management. Always perform thorough testing and validation before deploying any strategy with real capital. Adjust all settings, especially risk parameters, to your specific needs.
Strategia Pine Script®
di Trader_Arrow
EXODUS EXODUS by (DAFE) Trading Systems EXODUS is a sophisticated trading algorithm built by Dskyz (DAFE) Trading Systems for competitive and competition purposes, designed to identify high-probability trades with robust risk management. this strategy leverages a multi-signal voting system, combining three core components—SPR, VWMO, and VEI—alongside ADX, choppiness filters, and ATR-based volatility gates to ensure trades are taken only in favorable market conditions. the algo uses a take-profit to stop-loss ratio, dynamic position sizing, and a strict voting mechanism requiring all signals to align before entering a trade. EXODUS was not overfitted for any specific symbol. instead, it uses a generic tuned setting, making it versatile across various markets. while it can trade futures, it’s not currently set up for it but has the potential to do more with further development. visuals are intentionally minimal due to its competition focus, prioritizing performance over aesthetics. a more visually stunning version may be released in the future with enhanced graphics. The Unique Core Components Developed for EXODUS SPR (Session Price Recalibration) SPR measures momentum during regular trading hours (RTH, 0930-1600, America/New_York) to catch session-specific trends. spr_lookback = input.int(15, "SPR Lookback") this sets how many bars back SPR looks to calculate momentum (default 15 bars). it compares the current session’s price-volume score to the score 15 bars ago to gauge momentum strength. how it works: a longer lookback smooths out the signal, focusing on bigger trends. a shorter one makes SPR more sensitive to recent moves. how to adjust: on a 1-hour chart, 15 bars is 15 hours (about 2 trading days). if you’re on a shorter timeframe like 5 minutes, 15 bars is just 75 minutes, so you might want to increase it to 50 or 100 to capture more meaningful trends. if you’re trading a choppy stock, a shorter lookback (like 5) can help catch quick moves, but it might give more false signals. spr_threshold = input.float (0.7, "SPR Threshold") this is the cutoff for SPR to vote for a trade (default 0.7). if SPR’s normalized value is above 0.7, it votes for a long; below -0.7, it votes for a short. how it works: SPR normalizes its momentum score by ATR, so this threshold ensures only strong moves count. a higher threshold means fewer trades but higher conviction. how to adjust: if you’re getting too few trades, lower it to 0.5 to let more signals through. if you’re seeing too many false entries, raise it to 1.0 for stricter filtering. test on your chart to find a balance. spr_atr_length = input.int(21, "SPR ATR Length") this sets the ATR period (default 21 bars) used to normalize SPR’s momentum score. ATR measures volatility, so this makes SPR’s signal relative to market conditions. how it works: a longer ATR period (like 21) smooths out volatility, making SPR less jumpy. a shorter one makes it more reactive. how to adjust: if you’re trading a volatile stock like TSLA, a longer period (30 or 50) can help avoid noise. for a calmer stock, try 10 to make SPR more responsive. match this to your timeframe—shorter timeframes might need a shorter ATR. rth_session = input.session("0930-1600","SPR: RTH Sess.") rth_timezone = "America/New_York" this defines the session SPR uses (0930-1600, New York time). SPR only calculates momentum during these hours to focus on RTH activity. how it works: it ignores pre-market or after-hours noise, ensuring SPR captures the main market action. how to adjust: if you trade a different session (like London hours, 0300-1200 EST), change the session to match. you can also adjust the timezone if you’re in a different region, like "Europe/London". just make sure your chart’s timezone aligns with this setting. VWMO (Volume-Weighted Momentum Oscillator) VWMO measures momentum weighted by volume to spot sustained, high-conviction moves. vwmo_momlen = input.int(21, "VWMO Momentum Length") this sets how many bars back VWMO looks to calculate price momentum (default 21 bars). it takes the price change (close minus close 21 bars ago). how it works: a longer period captures bigger trends, while a shorter one reacts to recent swings. how to adjust: on a daily chart, 21 bars is about a month—good for trend trading. on a 5-minute chart, it’s just 105 minutes, so you might bump it to 50 or 100 for more meaningful moves. if you want faster signals, drop it to 10, but expect more noise. vwmo_volback = input.int(30, "VWMO Volume Lookback") this sets the period for calculating average volume (default 30 bars). VWMO weights momentum by volume divided by this average. how it works: it compares current volume to the average to see if a move has strong participation. a longer lookback smooths the average, while a shorter one makes it more sensitive. how to adjust: for stocks with spiky volume (like NVDA on earnings), a longer lookback (50 or 100) avoids overreacting to one-off spikes. for steady volume stocks, try 20. match this to your timeframe—shorter timeframes might need a shorter lookback. vwmo_smooth = input.int(9, "VWMO Smoothing") this sets the SMA period to smooth VWMO’s raw momentum (default 9 bars). how it works: smoothing reduces noise in the signal, making VWMO more reliable for voting. a longer smoothing period cuts more noise but adds lag. how to adjust: if VWMO is too jumpy (lots of false votes), increase to 15. if it’s too slow and missing trades, drop to 5. test on your chart to see what keeps the signal clean but responsive. vwmo_threshold = input.float(10, "VWMO Threshold") this is the cutoff for VWMO to vote for a trade (default 10). above 10, it votes for a long; below -10, a short. how it works: it ensures only strong momentum signals count. a higher threshold means fewer but stronger trades. how to adjust: if you want more trades, lower it to 5. if you’re getting too many weak signals, raise it to 15. this depends on your market—volatile stocks might need a higher threshold to filter noise. VEI (Velocity Efficiency Index) VEI measures market efficiency and velocity to filter out choppy moves and focus on strong trends. vei_eflen = input.int(14, "VEI Efficiency Smoothing") this sets the EMA period for smoothing VEI’s efficiency calc (bar range / volume, default 14 bars). how it works: efficiency is how much price moves per unit of volume. smoothing it with an EMA reduces noise, focusing on consistent efficiency. a longer period smooths more but adds lag. how to adjust: for choppy markets, increase to 20 to filter out noise. for faster markets, drop to 10 for quicker signals. this should match your timeframe—shorter timeframes might need a shorter period. vei_momlen = input.int(8, "VEI Momentum Length") this sets how many bars back VEI looks to calculate momentum in efficiency (default 8 bars). how it works: it measures the change in smoothed efficiency over 8 bars, then adjusts for inertia (volume-to-range). a longer period captures bigger shifts, while a shorter one reacts faster. how to adjust: if VEI is missing quick reversals, drop to 5. if it’s too noisy, raise to 12. test on your chart to see what catches the right moves without too many false signals. vei_threshold = input.float(4.5, "VEI Threshold") this is the cutoff for VEI to vote for a trade (default 4.5). above 4.5, it votes for a long; below -4.5, a short. how it works: it ensures only strong, efficient moves count. a higher threshold means fewer trades but higher quality. how to adjust: if you’re not getting enough trades, lower to 3. if you’re seeing too many false entries, raise to 6. this depends on your market—fast stocks like NQ1 might need a lower threshold. Features Multi-Signal Voting: requires all three signals (SPR, VWMO, VEI) to align for a trade, ensuring high-probability setups. Risk Management: uses ATR-based stops (2.1x) and take-profits (4.1x), with dynamic position sizing based on a risk percentage (default 0.4%). Market Filters: ADX (default 27) ensures trending conditions, choppiness index (default 54.5) avoids sideways markets, and ATR expansion (default 1.12) confirms volatility. Dashboard: provides real-time stats like SPR, VWMO, VEI values, net P/L, win rate, and streak, with a clean, functional design. Visuals EXODUS prioritizes performance over visuals, as it was built for competitive and competition purposes. entry/exit signals are marked with simple labels and shapes, and a basic heatmap highlights market regimes. a more visually stunning update may be released later, with enhanced graphics and overlays. Usage EXODUS is designed for stocks and ETFs but can be adapted for futures with adjustments. it performs best in trending markets with sufficient volatility, as confirmed by its generic tuning across symbols like TSLA, AMD, NVDA, and NQ1. adjust inputs like SPR threshold, VWMO smoothing, or VEI momentum length to suit specific assets or timeframes. Setting I used: (Again, these are a generic setting, each security needs to be fine tuned) SPR LB = 19 SPR TH = 0.5 SPR ATR L= 21 SPR RTH Sess: 9:30 – 16:00 VWMO L = 21 VWMO LB = 18 VWMO S = 6 VWMO T = 8 VEI ES = 14 VEI ML = 21 VEI T = 4 R % = 0.4 ATR L = 21 ATR M (S) =1.1 TP Multi = 2.1 ATR min mult = 0.8 ATR Expansion = 1.02 ADX L = 21 Min ADX = 25 Choppiness Index = 14 Chop. Max T = 55.5 Backtesting: TSLA Frame: Jan 02, 2018, 08:00 — May 01, 2025, 09:00 Slippage: 3 Commission .01 Disclaimer this strategy is for educational purposes. past performance is not indicative of future results. trading involves significant risk, and you should only trade with capital you can afford to lose. always backtest and validate any strategy before using it in live markets. (This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.) About the Author Dskyz (DAFE) Trading Systems is dedicated to building high-performance trading algorithms. EXODUS is a product of rigorous research and development, aimed at delivering consistent, and data-driven trading solutions. Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. 2025 Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
Strategia Pine Script®
di DskyzInvestments
2
Order Block StrategyStrategy Overview Key Features Order Block Detection: Utilizes the LuxAlgo Order Block Detector to identify bullish (support) and bearish (resistance) order blocks based on volume peaks and price action. Position Size: $3,000 per trade, reflecting $300 capital with 10x leverage. Risk Management: Stop Loss: Below the bottom of bullish order blocks for longs, above the top of bearish order blocks for shorts. Take Profit: 5%, 15%, and 50% from the entry price, each closing 33.33% of the position. Webhook Compatibility: Uses strategy.entry() and strategy.exit() for TradingView alert integration. Buy and Sell Conditions Buy: Triggered when the price low enters the most recent unmitigated bullish order block (low ≤ bull_top ) and closes above it (close > bull_top ), indicating a bounce from support. Sell: Triggered when the price high enters the most recent unmitigated bearish order block (high ≥ bear_btm ) and closes below it (close < bear_btm ), indicating a rejection from resistance. Risk Management Stop Loss: Long: Set at bull_btm (low of the bullish order block). Short: Set at bear_top (high of the bearish order block). Take Profit: Long: 5% (entry * 1.05), 15% (entry * 1.15), 50% (entry * 1.50). Short: 5% (entry * 0.95), 15% (entry * 0.85), 50% (entry * 0.50). Each level closes approximately one-third of the position.
Strategia Pine Script®
di JordySteinbach95
2 Multi MA + ZLEMA + Multi-Session + Volume + 50% Body CandlesThis TradingView indicator combines multiple technical analysis tools into one comprehensive overlay. Key features include: Dual Moving Averages (MA): Configurable types (SMA, EMA, WMA, HMA, VWMA, LSMA, SMMA) for both MA 1 and MA 2. Customizable periods and price sources. Visualized with distinct colors (cyan and white). Zero Lag EMA (ZLEMA): Reduces lag using a price adjustment formula. Multiple price source options (HLC3, HL2, Close, Open, OHLC4). Purple-shaded fill between ZLEMA and MA 2 for trend clarity. Multi-Session Zone Highlights: Customizable New York, London, and Tokyo trading sessions. Time zones and session hours/minutes adjustable. Colored backgrounds (blue, red, green) for easy visual identification. 50% Body Candles: Highlights candles where the body (open-close range) is ≤50% of the total candle range. White-colored candles indicate low volatility or indecision. Volume Metrics Table: Displays real-time volume and moving averages (5, 20, 50, 100, 200 periods). Color-coded to show which moving average the current volume is closest to.
Indicatore Pine Script®
di CSP_22
Buy/Sell Signal Indikator (EMA + StochRSI + Volumen) v2This buy and sell indicator works with the EMA 50, EMA 200, Stochastic RSI, Vol, and Vol MA indicators in the background and is primarily designed for scalping trading on the 1-minute timeframe. Buy Signal: EMA 50 is above EMA 200 + Stochastic RSI is below 15 + Vol is above Vol MA + Current price is within 0.2% of the EMA 50 + During the period 2:00 AM - 1:30 PM (UTC-4 NYC) Sell Signal: EMA 50 is below EMA 200 + Stochastic RSI is above 85 + Vol is above Vol MA + Current price is within 0.2% of the EMA 50 + During the period 2:00 AM - 1:30 PM (UTC-4 NYC)
Indicatore Pine Script®
di valin1wbt
Buy/Sell Signal Indikator (EMA + StochRSI + Volumen)This buy and sell indicator works with the EMA 50, EMA 200, Stochastic RSI, Vol, and Vol MA indicators in the background and is primarily designed for scalping trading on the 1-minute timeframe. Buy Signal: EMA 50 is above EMA 200 + Stochastic RSI is below 15 + Vol is above Vol MA + Current price is within 0.2% of the EMA 50 + During the period 2:00 AM - 1:30 PM (UTC-4 NYC) Sell Signal: EMA 50 is below EMA 200 + Stochastic RSI is above 85 + Vol is above Vol MA + Current price is within 0.2% of the EMA 50 + During the period 2:00 AM - 1:30 PM (UTC-4 NYC)
Indicatore Pine Script®
di valin1wbt
OFC - Liquidations ATS editionOFC – Liquidations (ATS-edition) This indicator detects aggressive position closures and liquidation-style activity using a dynamic, flow-based approach grounded in Volume-to-Open-Interest (VOI) analysis. It identifies sudden surges in executed volume relative to open interest and filters them through adaptive, statistically-driven thresholds. Built for traders who want to anticipate or confirm market flushes, stop hunts, or trap reversals, the tool supports detection of both long/short closures and optionally position openings — all based on actual order flow dynamics rather than speculative price patterns. Key Features: VOI Spike Detection: Identifies rare bursts of volume relative to open interest using percentile and volatility scaling. Directional Filtering: Uses volume delta to determine whether long or short positions are being flushed. Adaptive Thresholds: Built-in ATR and standard deviation normalization make the logic self-tuning across assets and timeframes. Signal Confidence Tiers: Three levels of signal strength help distinguish mild pressure from extreme liquidations. Opening Detection (Optional): Spot potential position buildups in real time. Debug Table (Optional): View live stats including VOI, thresholds, and signal proximity. Ideal Use Cases Confirmation of liquidation flushes and reversals Trap identification (long/short bait setups) Tactical execution timing for breakout retests or exhaustion fades Scalp filtering in combination with price action or market structure This tool prioritizes signal quality over quantity, offering a clear edge for traders who rely on actionable flow insights. No predictions — just real-time evidence of pressure in the tape.
Indicatore Pine Script®
di JohnnyHotwiel
Scalping Toolkit: Risk Panel (Position Sizing)📊 A clean risk management dashboard to calculate trade size based on your: Account capital % risk per trade Entry and Stop Loss prices 🧮 Outputs: Position size (shares/contracts) Risk per share Total $ risk Use it alongside your trade setup to control losses and size correctly. ✅ RSI + MACD + Volume breakout signals ✅ ATR-based Stop Loss & Take Profit lines ✅ Buy/Sell arrows and background highlights ✅ Alert conditions 🔐 Ideal companion tool for scalping or day trading strategies where discipline matters. -FtheL
Indicatore Pine Script®
di TRD3COMP
BR Maximizer [kn4bbe]Introduction BR Maximizer is an advanced tool tailored for traders, offering the precision and agility required in markets. With its asset specific adjustments, enhanced momentum analysis, and appealing user interface, this system is modified to squeeze the gains and flooring downside risk during risk-on environments, with a single focus on risk adjusted performance. Its refined approach, focused on high resolution data processing and adaptive reallocation, makes it a powerful choice for traders looking to capture high quality trends no matter the market’s pace.
Indicatore Pine Script®
di kn4bbe
Aggregated Open Interest [Alpha Extract]The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts. 🔶 CALCULATION The indicator processes open interest data through multiple analytical methods: Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization. Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI. Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements. Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements. Formula: Aggregate OI = Sum of normalized open interest from selected exchanges OI Change = Current OI - Previous OI OI Delta = Net change in open interest across timeframes OI Delta × Volume = OI Delta weighted by relative volume OI RSI = Relative Strength Index applied to open interest values OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods 🔶 DETAILS Visual Features: Open Interest: Candlestick representation of aggregated open interest OI Change: Histogram showing period-to-period changes OI Delta: Histogram displaying net OI movements OI Delta × Volume: Volume-weighted OI delta for enhanced signals OI RSI: Oscillator showing overbought/oversold OI conditions OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13, 21, 34, and 55 days) Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting significant divergences between price and open interest Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and bullish/bearish activity. Interpretation: Increasing Open Interest + Rising Price: Strong bullish trend confirmation Increasing Open Interest + Falling Price: Strong bearish trend confirmation Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal) Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal) Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI 🔶 EXAMPLES Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing. Example: During January-February 2025, rising OI during price advances confirms institutional participation in the uptrend. Bearish Divergence: Price makes a higher high while open interest makes a lower high, signaling potential trend reversal. Example: Red markers appear at market tops where price continues higher but open interest fails to confirm, preceding significant corrections. Bullish Divergence : Price makes a lower low while open interest makes a higher low, indicating potential bottoming. Example: Teal markers appear at market bottoms where price continues lower but open interest fails to confirm, preceding significant rallies. OI Heatmap Analysis : Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure. Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections. 🔶 SETTINGS Customization Options: Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD) Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap Currency Units: Display in USD or base cryptocurrency (COIN) Analysis Tools: Moving Average (length and color), RSI (length and color) Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
Indicatore Pine Script®
di AlphaExtract