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.
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