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Fabio Valentini Pro Scalper [PickMyTrade]Fabio Valentini Pro Scalper Inspired by Fabio Valentini's NASDAQ scalping methodology, this strategy approximates professional order flow analysis using volume-based techniques, volume profile, and institutional trading concepts for liquid markets. CORE METHODOLOGY This strategy uses volume analysis to approximate order flow concepts typically seen in professional trading platforms: Volume Profile Analysis: Calculates Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) to identify institutional price acceptance zones where the majority of trading activity occurs. Delta Approximation: Estimates buying versus selling pressure by analyzing volume distribution within candles, helping identify which side of the market is in control. Absorption Detection: Identifies high-volume, low-price-movement candles that indicate institutional passive order absorption - when large players are building positions by absorbing aggressive orders. Triple-A Setup: Tracks the three-phase institutional trading pattern: - Absorption - Large players build positions passively - Accumulation - Price contracts into tight range as positions build - Aggression - Breakout with volume as institutional move initiates ENTRY SIGNAL TYPES Triple-A Setups: Identifies the complete absorption-accumulation-aggression sequence. When absorption is detected, followed by range contraction, and then aggressive breakout with volume confirmation. Opening Range Breakout (ORB): Trades breakouts from the configurable opening range period (default 30 minutes). Based on the concept that early session range defines key levels. Value Area Bounces: Identifies reactions at Value Area High or Value Area Low levels with absorption confirmation, suggesting institutional support or resistance. KEY FEATURES - VWAP with Dynamic Bands: Volume-weighted average price with ATR-based bands for trend and mean reversion context - Session-Based Filtering: Fully customizable trading session (default NY hours 9:30 AM - 4:00 PM) - Built-in Risk Management: Customizable risk percentage per trade with adjustable Risk:Reward ratios - Daily Loss Limit: Enforces maximum daily losses rule (default 3 losses) to prevent overtrading - Trailing Stop System: Optional ATR-based trailing stops to lock in profits - Real-Time Dashboard: Shows delta control, absorption status, market phase, and session information - Multiple Signal Filters: Combine or isolate different setup types for optimization CUSTOMIZABLE PARAMETERS Session Settings: Trading session times (any timezone), session filter enable/disable Volume Profile: Lookback period (default: 50 bars), row resolution for price levels (default: 24 rows) Absorption Detection: Volume multiplier threshold (default: 2.0), maximum price movement threshold (default: 0.3 ATR) Delta Analysis: Smoothing period (default: 5 bars) VWAP Settings: Enable/disable VWAP filter, band width multiplier (default: 0.5 ATR) Risk Management: Risk per trade percentage (default: 1%), Risk:Reward ratio (default: 2.0), maximum daily losses before stopping (default: 3), trailing stop toggle and ATR multiplier (default: 1.5) Opening Range Breakout: ORB period in minutes (default: 30), enable/disable ORB signals VISUAL ELEMENTS The strategy provides comprehensive visual feedback including VWAP bands, volume profile levels (POC, VAH, VAL), ORB lines, absorption signals, Triple-A setup markers, entry arrows with labels, session background highlighting, live statistics table, and daily loss limit warning background. BUILT-IN ALERT CONDITIONS Long and Short entry signals, strong absorption detection, Triple-A setup completion, and daily loss limit warnings. STRATEGY PHILOSOPHY Based on institutional trading principles: identify where large players are positioning through absorption patterns, wait for the accumulation phase shown by range contraction, then trade the aggressive move during expansion. The strategy combines multiple confirmation factors to filter high-probability setups. IMPORTANT NOTES AND DISCLAIMERS Not True Order Flow: This script approximates order flow concepts using publicly available volume data. True order flow analysis requires tick-by-tick bid/ask data from specialized platforms (e.g., Sierra Chart, Investor/RT with exchange feeds). This implementation provides educational approximation using TradingView's available data. Performance Sensitivity: Scalping strategy results are extremely sensitive to commission rates, slippage assumptions, position sizing decisions, parameter optimization for specific instruments, and market conditions. Cost Configuration Required: Before backtesting or live use, you MUST configure the Properties tab with realistic trading costs: Commission: Set to match your broker's actual fee structure (crypto spot: typically 0.05-0.20% per side, crypto futures: typically 0.02-0.05% per side, stock/futures: varies by broker and contract) Slippage: Set based on instrument liquidity (high liquidity: 2-5 ticks, medium liquidity: 5-10 ticks, lower liquidity or volatile conditions: 10+ ticks) Even small changes in commission or slippage can significantly impact profitability for scalping strategies. Parameter Optimization: Default settings are educational starting points. Users should test different absorption multiplier values (1.5-3.5), experiment with Risk:Reward ratios (2.0-4.0), try each signal type individually to find best performers, adjust parameters for their specific instrument and timeframe, and always validate changes with forward testing. Market Dependence: Strategy performance varies significantly across different instruments (futures vs crypto vs stocks), various timeframes (1-min vs 5-min vs 15-min), market conditions (trending vs ranging vs volatile), and trading sessions (high vs low liquidity periods). Educational Purpose: This strategy demonstrates order flow concepts, volume profile analysis, and institutional trading patterns for learning purposes. It is not a guaranteed profitable system and requires user optimization. RISK WARNING Scalping strategies require strict discipline and emotional control, excellent execution infrastructure (low latency, reliable fills), understanding of costs impact on profitability, respect for daily loss limits to prevent revenge trading, and realistic expectations - backtest results typically exceed live performance. This strategy enforces a daily loss limit (default 3 losses) based on professional trading risk management principles. When the limit is reached, the strategy stops generating signals to prevent overtrading. DISCLAIMER This is an educational tool for learning order flow concepts and institutional trading patterns. It is not financial advice. Past performance does not guarantee future results. Strategy profitability is highly dependent on execution quality, trading costs, parameter optimization, and market conditions. Users are solely responsible for their own testing, risk management, and trading decisions. No trading strategy is guaranteed to be profitable. Always test thoroughly on paper accounts before risking real capital.
Strategi Pine Script®
oleh PickMyTrade_Official
Sakalau02 Yearly Monthly Sessions Sakalau02 Yearly Monthly Sessions is an advanced time-mapping tool designed to highlight monthly cycles throughout the year. The indicator converts raw price data into a clean visual structure, using arrays for optimized performance. Macro Perspective: It allows you to visualize how price interacts with previous monthly highs and lows, making it ideal for identifying seasonal trends. Array-Based Structure: Unlike traditional scripts, this dynamically handles data for all 12 months, ensuring low resource consumption even with a multi-year lookback. Display Modes: Offers full flexibility by using Boxes (monthly price range), Zones (full-height background shading), or Timeline (discrete bottom markers). Key Features: Reference Levels: Includes the monthly Open price and the Equilibrium level (0.5 Level) for every session. Individual Customization: Each month can be toggled and colored separately to highlight specific quarters or fiscal periods. Alert System: Automated notifications for month starts and breakouts of monthly extremes (High/Low). By Sakalau02 ( Andrei )
Penunjuk Pine Script®
oleh Aa002
PoW Floor OscillatorThis model was proposed by @paulewaulpaul as an attempt to model the cost of BTC production using Difficulty (input) and Issuance (output) as the key parameters. The following is paraphrased from the original research piece: Difficulty D is taken as the estimated number of hashes required to mine a block (denoted in raw hashes). This is proportional to the energy consumption and the energy efficiency and reflects the demand. We use difficulty to estimate production costs. As mining becomes more efficient over time, hash rate becomes cheaper. Therefore we add a damping coefficient k and a scaling factor a (the cost per unit of adjusted difficulty). To get the value per coin, we divide by the issuance I. We get the values for a and k by fitting the function to price. For this we use the lows of the last two halving cycles, deep in the bear market when only the most efficient mining was profitable. The PoW Floor Model is thus calculated as follows: PoW Floor Pricing Model = 2/3 * (sma(D,180)^0.41 / sum(I,180)) The damping coefficient is k = 0.41 and scaling factor a = 2/3. Statistically, this means that doubling the difficulty increases the estimated production cost by ~33%. We use a moving average for the difficulty and look at a 180 day period. For the upper bands we use the 1.41 and 2 multiples where the factor of 2 estimates the cost of production after the next halving event (assuming constant difficulty). Coined By kuntah in Bitcoin: Difficulty per Issuance - A PoW Pricing Model, Oct 2022
Penunjuk Pine Script®
oleh M48384
PoW Floor Pricing ModelThis model was proposed by @paulewaulpaul as an attempt to model the cost of BTC production using Difficulty (input) and Issuance (output) as the key parameters. The following is paraphrased from the original research piece: Difficulty D is taken as the estimated number of hashes required to mine a block (denoted in raw hashes). This is proportional to the energy consumption and the energy efficiency and reflects the demand. We use difficulty to estimate production costs. As mining becomes more efficient over time, hash rate becomes cheaper. Therefore we add a damping coefficient k and a scaling factor a (the cost per unit of adjusted difficulty). To get the value per coin, we divide by the issuance I. We get the values for a and k by fitting the function to price. For this we use the lows of the last two halving cycles, deep in the bear market when only the most efficient mining was profitable. The PoW Floor Model is thus calculated as follows: PoW Floor Pricing Model = 2/3 * (sma(D,180)^0.41 / sum(I,180)) The damping coefficient is k = 0.41 and scaling factor a = 2/3. Statistically, this means that doubling the difficulty increases the estimated production cost by ~33%. We use a moving average for the difficulty and look at a 180 day period. For the upper bands we use the 1.41 and 2 multiples where the factor of 2 estimates the cost of production after the next halving event (assuming constant difficulty). Coined By kuntah in Bitcoin: Difficulty per Issuance - A PoW Pricing Model, Oct 2022
Penunjuk Pine Script®
oleh M48384
MTF Std Dev Regression ChannelsMulti-Timeframe Linear Regression Channel with Price Labels Displays linear regression channels from a higher timeframe (default 1-hour) on your current chart. Uses the same calculation method as thinkorswim's standard deviation channels. Features: Smooth diagonal channel lines (not stepped) from HTF data Configurable lookback length and source timeframe Shows ±0.5σ, ±1σ, ±1.5σ, ±2σ, ±2.5σ, and ±3σ levels Price axis labels for whole number sigma levels (±1σ, ±2σ, ±3σ) Chart labels for all levels with 5-bar offset Line extension options (Right, Left, Both, None) Fully customizable colors Perfect for traders who want to monitor higher timeframe regression channels while trading on lower timeframes.
Penunjuk Pine Script®
oleh backflip89
Chaos Weighted RSI [LuxAlgo]The Chaos Weighted RSI indicator provides a specialized relative strength index that adaptively adjusts its smoothing based on the level of market disorder (chaos). By utilizing Fractal Dimension Index (FDI) logic, the tool reduces sensitivity during chaotic price action to filter out market noise, offering a clearer perspective on momentum trends. 🔶 USAGE The indicator functions similarly to a traditional RSI but with a dynamic response rate. When the market is in a state of high chaos (random, non-trending movement), the RSI smoothing becomes heavier, preventing premature overbought or oversold readings. Conversely, when the price exhibits more orderly, trending behavior, the indicator becomes more responsive. Users can observe the following key elements: Trend Confirmation: The RSI line changes color based on its position relative to the 50 midline (Green for bullish momentum, Red for bearish momentum). Overbought/Oversold Zones: Traditional levels at 70 and 30 are used. The indicator features gradient fills to highlight when price momentum has reached these extremes. Divergence Detection: The script automatically identifies regular bullish and bearish divergences between price and the Chaos Weighted RSI, marking them with dots and connecting lines. 🔶 DETAILS The core innovation of this script is the integration of the Sevcik method for calculating Fractal Dimension. This calculation determines the "complexity" of the price path within a specific lookback window. 🔹 Weighting Mechanism The script calculates a Chaos value (scaled 0 to 1). This value modulates the RSI's smoothing factor (alpha). High chaos reduces the alpha, resulting in a smoother, slower-reacting RSI that is less likely to be influenced by whipsaws. Low chaos increases the alpha, allowing the RSI to track the price more closely during efficient trends. 🔹 Divergence Logic Divergences are confirmed using a pivot-based approach. Because the Chaos Weighted RSI is smoother than a standard RSI during noisy periods, the divergences detected are often more significant and less prone to minor price fluctuations. 🔶 SETTINGS 🔹 RSI Settings RSI Length: Sets the base period for the RSI calculation. 🔹 Disorder Settings Disorder Lookback: The period used to calculate the price chaos via the Fractal Dimension Index. Weight Sensitivity: Determines how aggressively the chaos calculation affects the RSI smoothing. Higher values result in more significant smoothing during chaotic periods. 🔹 Visuals Overbought/Oversold Fill: Customizes the colors for the gradient fills in extreme zones. Background Transparency: Adjusts the visibility of the central background fill between levels 30 and 70. 🔹 Divergence Settings Divergence Strength: The number of bars required on the left and right of a pivot to confirm a divergence. Higher values filter for more significant, long-term signals. Show Bullish/Bearish Divergence: Toggles the visibility of divergence labels and lines.
Penunjuk Pine Script®
oleh LuxAlgo
7
Levy Momentum Strategy v10.6 - RSL Factor Exitthis strategy is supposed to run on daily charts! The RSL Strategy v10.6 is a momentum-following system that utilizes the Relative Strength Levy (RSL) indicator on a weekly timeframe to identify high-velocity trend breakouts. By comparing the current price to its 25-week Moving Average, the strategy isolates assets exhibiting strong relative momentum. Key FeaturesDynamic Entry Logic: Uses a volatility-adjusted threshold ( NYSE:SMA + Standard\ Deviation$) to ensure entries occur during periods of statistically significant strength.VIX Risk Filter: A built-in "Fear Limit" that prevents new entries when market volatility (VIX) exceeds a user-defined level (default: 22), protecting the capital during market-wide turbulence.Adjustable Exit Factor: A unique Exit Threshold Factor allows traders to fine-tune the exit sensitivity. Setting the factor below 1.0 gives the trade more "room to breathe," while a factor above 1.0 tightens the exit for faster profit-taking.Velocity Filter: Ensures momentum is accelerating by requiring a minimum rise in RSL over a 4-week lookback period before entering.Visual Monitoring: Includes an on-chart Weekly Review Table that tracks real-time RSL values against dynamic entry and exit levels.How it WorksEntry: Triggered when the Weekly RSL crosses above the dynamic threshold, provided the VIX is low and momentum velocity is positive.Exit: Triggered when the RSL drops below the adjusted "Exit Level," calculated as the dynamic threshold multiplied by your custom Factor.
Strategi Pine Script®
oleh Heiner_Flyer
US Election Cycles LinesUS Election Cycle Indicator (Buy the Dip Model) This indicator visualizes the historical US presidential election cycle directly on the chart by automatically marking key dates based on real election calendars. The core idea is a well-known long-term market pattern: “Buy two years before the election, sell during the election year.” 🔍 What the indicator shows • Vertical BUY lines — exactly 2 years before each US presidential election • Vertical ELECTION lines — the actual US Election Day (November, Tuesday) • Dates are calculated programmatically, not hardcoded • Works on any market (S&P 500, Nasdaq, Crypto, Forex, Stocks) ⚙️ Customization • Select start and end years • Toggle BUY and ELECTION lines independently • Adjustable colors, line styles, and thickness • Optional labels for clean or annotated charts • Timezone support (New York / UTC) 🧠 Why it matters Over the past decades, markets have shown a strong tendency to perform positively in the period leading up to US elections, driven by liquidity expansion, fiscal stimulus, and political incentives. This indicator helps you: • Visually validate election-cycle theories • Backtest long-term investment strategies • Combine macro timing with technical or Smart Money analysis • Avoid emotional decision-making during political cycles ⚠️ Disclaimer This indicator is for educational and analytical purposes only. It does not provide trading signals and should not be used as financial advice.
Penunjuk Pine Script®
oleh Dest1ny_
Sakalau02 Monthly Weekly SessionsSakalau02 Monthly Weekly Sessions is a visual analysis tool designed to automatically identify and highlight the 5 weeks of each calendar month. The indicator tracks price action throughout each week and offers several display modes: Boxes: Draws rectangular zones covering the weekly High and Low. Zones: Shades the chart background based on the active week. Timeline: Adds discrete markers at the bottom of the chart. Key Features: Automated Levels: Displays the weekly Open price and the equilibrium line (0.5 Level) for each session. Full Customization: Allows users to modify colors, line styles, and labels for each individual week. Integrated Alerts: Notifies you when a new week starts or when the price hits a new weekly High or Low. Performance Optimization: Includes a lookback setting to limit calculations to a specific number of months, keeping the chart responsive. By Sakalau02 (Andre)
Penunjuk Pine Script®
oleh Aa002
15 Consecutive Heikin Ashi Candles AlertThis indicator detects 15 consecutive Heikin Ashi candles in the same direction (bullish or bearish) and alerts you the moment the 15th candle closes. Key Features: Accurate Heikin Ashi detection using ticker.heikinashi (works on any chart type) Configurable streak length (default 15) and Heikin Ashi timeframe (default 3 minutes) Triggers alerts only once when the streak reaches exactly 15 (no spam on longer streaks) Live visual streak counter (histogram) — green for bullish, red for bearish Optional overlay of clean Heikin Ashi candles on your chart Real-time table showing current streak direction and count Background flash + large on-chart labels when the 15-candle streak is confirmed Clean, lightweight code with zero repainting Best Use: Ideal on 3-minute charts for scalping or momentum trading Great for catching strong trends early in crypto, forex, or stocks Set alerts for "15 Bullish HA Candles" or "15 Bearish HA Candles" Settings: Streak Length → Change alert threshold Overlay Heikin Ashi Candles → Toggle HA display Heikin Ashi Timeframe → Use "3" for 3-minute HA data
Penunjuk Pine Script®
oleh Trend_Informer