Supertrend Nova Cloud [Pineify]Supertrend Nova Cloud
Overview
The Supertrend Nova Cloud is a sophisticated trend-following system designed to filter market noise and provide clear, actionable insights into market direction and volatility. By combining two distinct Supertrend calculations—the fast-acting "Nova" and the slower, more robust "Nebula"—this indicator creates a dynamic "Cloud" that visualizes the strength and stability of the current trend. It is engineered to help traders identify strong trending periods, potential pullbacks, and major reversals with greater confidence than a single Supertrend indicator.
Key Features
Dual-Trend Architecture: Utilizes a two-layer approach with a Fast (Nova) and Slow (Nebula) Supertrend to define market structure.
Dynamic Nova Cloud: A visual gradient fill between the two trendlines that adjusts its intensity ("Glow") based on the spread between the trends, representing market volatility.
Smart Candle Coloring: Candles are colored based on the consensus between the two trends, clearly distinguishing between strong trends, pullbacks, and recovery phases.
High-Quality Signals: Buy and Sell signals are filtered and only generated when the major (Slow) trend reverses, reducing false signals during chop.
Real-time Dashboard: An on-chart dashboard displays the current state of both the Nova and Nebula trends for instant analysis.
How It Works
The Supertrend Nova Cloud operates on the principles of Average True Range (ATR) volatility to determine trend direction.
Nova (Fast Trend): Calculated using a shorter ATR length (default 10) and a lower multiplier (default 2.0). This line reacts quickly to price changes, serving as an early warning system or trailing stop for aggressive entries.
Nebula (Slow Trend): Calculated using a longer ATR length (default 20) and a higher multiplier (default 4.0). This line defines the overall market bias and acts as significant support/resistance.
Cloud Gradient Logic: The script calculates the absolute difference (delta) between the Nova and Nebula lines. It compares this delta to its recent historical maximum to determine the opacity of the fill color. A wider spread (higher volatility) results in a brighter, more opaque cloud, while a narrow spread (consolidation) results in a more transparent cloud.
How multiple indicators work together
In trading, a single trend indicator often faces a dilemma: if it's too fast, it gives false signals; if it's too slow, it lags significantly. The Supertrend Nova Cloud solves this by combining both:
The Fast Supertrend captures immediate momentum and provides potential re-entry points during strong trends.
The Slow Supertrend acts as a filter. The script logic enforces that major reversal signals ("NOVA BUY/SELL") are only triggered when this slower, dominant trend changes direction.
By requiring the Slow trend to confirm the reversal, the indicator filters out the "noise" that would typically whip-saw a standard Supertrend.
Trading Ideas and Insights
Trend Riding: When the Cloud is fully Green (Strong Bull) or Red (Strong Bear), and the candles match this color, the trend is established. These are ideal conditions for holding positions.
Pullback Opportunities: If the candles turn a lighter shade (e.g., light red during an uptrend), it indicates the price has broken the Fast trend but holds above the Slow trend. This "Mixed" state often represents a buying opportunity in an uptrend (or selling in a downtrend).
Volatility Expansion: A widening cloud (brighter glow) indicates expanding volatility and often accompanies a strong breakout or trend acceleration.
Unique Aspects
Visual Volatility Feedback: Unlike standard fills, the "Nova Cloud" uses a custom algorithm to adjust transparency based on the relative distance between the two trendlines. This gives traders an intuitive sense of market expansion and contraction.
Nuanced State Detection: The script doesn't just show Up or Down. It identifies four states: Strong Bull, Strong Bear, Fast Bull/Slow Bear (Recovery), and Fast Bear/Slow Bull (Pullback), coding the candles accordingly.
How to Use
Entry: Look for "NOVA BUY" or "NOVA SELL" labels. These appear when the major trend (Nebula) flips, confirming a significant shift in market structure.
Stop Loss: The Nebula (thick) line serves as a robust trailing stop loss. As long as price holds beyond this line, the macro trend remains intact.
Re-Entry/Pyramiding: During a strong trend, if price dips into the cloud (changing candle color to mixed/neutral) and then resumes the trend color, it can be a valid re-entry signal.
Customization
Users can fully customize the indicator via the settings menu:
Nova & Nebula Settings: Adjust the ATR Length and Factor for both the Fast and Slow trends to tune sensitivity for different timeframes or assets.
Visuals: Toggle the Dashboard, Candle Coloring, and customize the colors for Bullish, Bearish, and Neutral states.
Conclusion
The Supertrend Nova Cloud offers a comprehensive visual interface for trend traders. By harmonizing two time horizons of volatility analysis into a single, cohesive display, it simplifies decision-making and helps traders stay on the right side of the major trend while identifying granular opportunities within it.
Search in scripts for "BULL"
Arbitrage Matrix [LuxAlgo]The Arbitrage Matrix is a follow-up to our Arbitrage Detector that compares the spreads in price and volume between all the major crypto exchanges and forex brokers for any given asset.
It provides traders with a comprehensive view of the entire marketplace, revealing hidden relationships among different exchanges for the same asset and offering easy, visual comparisons.
🔶 USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread.
For begginers this tool is a clear snapshot of how different markets value the same asset, making global price dynamics easy to grasp.
For advanced traders it is a powerful scanner for arbitrage setups, helping you identify where the biggest opportunities lie in real time.
Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
By default, the tool searches all the enabled sources for the asset in the chart. It uses crypto exchanges as sources for crypto assets and forex brokers for all other assets.
The data is displayed on a dashboard, which is the tool's only visual element.
Traders can enable or disable any exchange or broker from the settings panel. All are enabled by default.
🔹 Displayable Data
Traders can choose from four types of data to display: last price, last volume, average price, and average volume.
Note that price and volume data may not be available for all assets at all sources, and sources without data will not be displayed.
As the image shows, each chart displays a different type of data for the same asset. In this case, the asset is ETHUSDT.
🔹 Reading the Matrix
Traders must read the data in a row-by-column format, as shown in the following example.
Assume that we are charting BTCUSDT Daily. In the row, we have Exchange A; in the column, we have Exchange B. The data is the average price, and the value is 100. The default length for the average is 20.
It reads like this: The average BTCUSDT price over the last 20 days is $100 higher on Exchange A than on Exchange B.
If the value were -100, it would mean that the average price is $100 lower in Exchange A than in Exchange B.
🔹 Matrix Style
Traders can change the colors and disable the background gradient, which is enabled by default.
They can also fine-tune the location and dashboard size from the settings panel.
🔶 SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
Crypto Exchanges: Enable or disable any available exchange.
Forex Brokers: Enable or disable any available broker.
🔹 Dashboard
Data: Select the data to display.
Position: Select the dashboard location.
Size: Select the dashboard size.
🔹 Style
Bullish: Select bullish color.
Bearish: Select bearish color.
Background Gradient: Enable background gradient color.
SMC Alpha Engine [PhenLabs]📊 SMC Alpha Engine
Version: PineScript™ v6
📌 Description
The SMC Alpha Engine is a comprehensive Smart Money Concepts indicator that automates institutional trading pattern recognition. Built for traders who understand that confluence is king, this indicator stacks multiple SMC elements together and scores them in real-time, allowing you to focus exclusively on high-probability setups.
Rather than manually tracking HTF bias, market structure, liquidity levels, order blocks, and fair value gaps separately, the SMC Alpha Engine consolidates everything into a unified scoring system. When enough factors align, you get a signal. When they don’t, you wait. This systematic approach removes emotion and subjectivity from SMC trading.
The indicator is designed around one core principle: only trade when the probabilities are stacked in your favor. By requiring multiple confluence factors before generating signals, it filters out the noise and keeps you focused on setups that institutional traders actually care about.
🚀 Points of Innovation
Automated confluence scoring system that evaluates 6 distinct SMC factors in real-time
HTF-to-LTF bias alignment ensuring trades flow with institutional direction
Intelligent liquidity sweep detection using wick-ratio analysis for confirmation
ATR-based FVG quality filtering that eliminates noise and shows only significant imbalances
Anti-spam signal logic preventing overtrading during volatile market conditions
Session-aware killzone integration timing entries with institutional activity windows
🔧 Core Components
HTF Bias Engine: Analyzes higher timeframe swing structure to establish directional bias using pivot high/low comparisons
Market Structure Module: Detects BOS (Break of Structure) and CHoCH (Change of Character) with real-time confirmation
Premium/Discount Calculator: Dynamically maps price zones relative to recent swing range equilibrium
Liquidity Tracker: Monitors swing points as liquidity targets and identifies sweep events with rejection confirmation
POI Detector: Identifies valid Order Blocks with displacement requirements and Fair Value Gaps with ATR filtering
Confluence Scorer: Aggregates all factors into bull/bear scores displayed on real-time dashboard
🔥 Key Features
Multi-timeframe analysis combining HTF directional bias with LTF precision entries
Customizable confluence threshold from 1 (low filter) to 5 (sniper mode)
Three killzone sessions: London (02:00-05:00), NY AM (08:30-11:00), NY PM (13:30-16:00)
Flexible mitigation options for OBs and FVGs: Wick, Close, 50%, or None
Visual structure labeling for BOS and CHoCH events on chart
Real-time info dashboard showing all current market conditions and scores
Built-in alert conditions for BOS, liquidity sweeps, and high-confluence signals
🎨 Visualization
Premium Zone: Red-tinted box above equilibrium indicating sell-side interest areas
Discount Zone: Green-tinted box below equilibrium indicating buy-side interest areas
Equilibrium Line: Dotted gray line marking the 50% level of current range
Order Blocks: Color-coded boxes (green for bullish, red for bearish) showing institutional candles
Fair Value Gaps: Teal boxes for bullish FVGs, maroon boxes for bearish FVGs
Killzone Backgrounds: Blue (London), Orange (NY AM), Purple (NY PM) session highlighting
Info Table: Top-right dashboard displaying HTF bias, LTF trend, zone, killzone status, and scores
📖 Usage Guidelines
HTF Settings
HTF Timeframe - Default: 60 - Controls higher timeframe for directional bias
HTF Swing Length - Default: 10, Range: 3+ - Determines pivot sensitivity for HTF trend
Market Structure Settings
LTF Swing Length - Default: 3, Range: 1-10 - Controls swing detection sensitivity
Show BOS/CHoCH - Default: Off - Toggles structure labels on chart
Show Strong/Weak Points - Default: Off - Displays swing point classifications
POI Settings
Show Valid Order Blocks - Default: Off - Displays OBs that caused displacement
Show Unmitigated FVGs - Default: On - Shows active fair value gaps
Filter FVG by ATR - Default: On - Only shows FVGs larger than 0.5x ATR
OB Mitigation Type - Options: Wick, Close, None - Determines when OBs are invalidated
FVG Mitigation Type - Options: Wick, Close, 50%, None - Determines when FVGs are filled
Confluence Settings
Minimum Score for Signal - Default: 4, Range: 1-5 - Required confluence level for entries
Show Entry Signals - Default: On - Toggles LONG/SHORT labels on chart
✅ Best Use Cases
Trend continuation trades during active killzone sessions with HTF alignment
Discount zone entries on bullish HTF bias with recent liquidity sweep below
Premium zone shorts on bearish HTF bias after liquidity grab above recent highs
Reversal identification following CHoCH with POI confluence in optimal zone
Filtering existing strategy signals by requiring minimum confluence score
⚠️ Limitations
HTF bias detection requires sufficient price history for accurate pivot identification
Liquidity sweep detection depends on wick-ratio settings and may miss some events
Order blocks require displacement confirmation which may exclude some valid zones
Confluence scoring is probabilistic and does not guarantee profitable outcomes
Killzone times are based on EST/EDT and require timezone adjustment for other regions
Signal spam prevention may delay valid signals by up to 10 bars after previous signal
💡 What Makes This Unique
Unified SMC Framework: Combines all major SMC concepts into one cohesive indicator rather than requiring multiple tools
Objective Scoring System: Removes subjectivity by quantifying confluence into measurable scores
Institutional Timing Integration: Built-in killzone awareness ensures signals align with high-volume sessions
Quality Filtering: ATR-based FVG filtering and displacement-required OBs eliminate low-quality setups
Anti-Overtrading Logic: Smart signal spacing prevents emotional trading during choppy conditions
🔬 How It Works
Step 1: HTF Bias Determination
Analyzes higher timeframe pivot highs and lows
Compares consecutive pivots to identify HH/HL (bullish) or LH/LL (bearish) sequences
Establishes directional filter that all signals must respect
Step 2: LTF Structure Mapping
Detects swing points on execution timeframe
Identifies BOS when price closes beyond confirmed swing level
Recognizes CHoCH when structure break occurs against current trend
Step 3: Confluence Calculation
Awards +1 for HTF bias alignment
Awards +1 for active killzone timing
Awards +1 for optimal zone positioning (discount for longs, premium for shorts)
Awards +1 for price at unmitigated POI
Awards +1 for recent liquidity sweep in trade direction
Awards +1 for recent supportive structure break
Step 4: Signal Generation
Compares total score against user-defined minimum threshold
Requires candle confirmation (bullish close for longs, bearish close for shorts)
Applies 10-bar spacing filter to prevent signal clustering
💡 Note:
This indicator is designed for traders already familiar with Smart Money Concepts. While it automates detection and scoring, understanding why each factor matters will significantly improve your ability to filter signals and manage trades effectively. Use the minimum confluence setting to match your risk tolerance, higher values mean fewer but higher-quality signals.
Wave Dynamics - Neural Adaptive Engine🌊 WAVE DYNAMICS - NEURAL ADAPTIVE ENGINE
The Official Reference Manual & Trading Protocol
═════════════════════════════════════════════════════════════
📖 PREFACE: THE END OF STATIC ANALYSIS
The financial markets are not linear; they are fractal. They do not move in straight lines; they breathe. They expand in trending volatility and contract in chopping noise.
The fundamental failure of traditional technical analysis is Static Sensitivity .
• A 14-period RSI works beautifully in a range but fails in a trend.
• A 12,26 MACD captures trends but destroys capital in chop.
Wave Dynamics solves this by treating the market as a living organism. At its core is a Neural Adaptive Engine that calculates the Hurst Exponent (Fractal Dimension) in real-time. It measures the "roughness" of price action and automatically adjusts the lookback periods of every subsystem—Waves, Ribbons, and Oscillators—to match the current market regime.
This manual is your guide to navigating this adaptive framework.
PART 1: THEOLOGY & MARKET PHYSICS
To use this tool, you must understand the three pillars of its logic:
1. The Hurst Exponent (Chaos Theory)
The engine continuously calculates H (Hurst) on a rolling window.
• Persistent Regime (H > 0.5): "What is happening now is likely to continue." The market is trending. The Engine Tightens sensitivity to catch fast pullbacks.
• Anti-Persistent Regime (H < 0.5): "What is happening now is likely to reverse." The market is chopping/ranging. The Engine Widens sensitivity to filter out noise and stop runs.
2. The Elliott Wave Cycle (Crowd Psychology)
Price moves in 5-wave motive sequences followed by corrections.
• Waves 1 & 3: Institutional Accumulation/Mark-up.
• Waves 2 & 4: Profit Taking (The Pullback). These are the only safe entry points.
• Wave 5: Retail FOMO (The Trap). Identified by Momentum Divergence .
3. Smart Money Concepts (Liquidity)
Price moves from liquidity to liquidity.
• Order Blocks: Where institutions initiated the move.
• Breakers: Where institutions trapped traders (Support flips to Resistance).
• Fair Value Gaps: Where price moved too fast, leaving inefficiency.
PART 2: VISUAL INTELLIGENCE (COLOR THEORY)
The chart communicates instantly through a strict color-coded language.
🎨 THE RIBBON (Adaptive Equilibrium)
The background "Cloud" is an Adaptive EMA ribbon.
• Neon Green (#00FF88): Bullish Trend. Only look for Longs. Price is above the equilibrium mean.
• Neon Red (#FF3366): Bearish Trend. Only look for Shorts. Price is below the equilibrium mean.
• Grey/Narrow: Compression. The market is deciding. Do not trade inside a grey ribbon.
🎨 INSTITUTIONAL ZONES
• Green/Red Boxes (Order Blocks): Standard Support/Resistance. Valid entry zones, but lower probability.
• Vivid Purple Boxes (#9C27B0) - THE BREAKER: CRITICAL. This appears when a Green Order Block is smashed through by price. It turns Purple to signify it has flipped from Support to Resistance (or vice versa). A retest of a Purple Zone is the highest probability setup in the system.
• Dotted Outlines (FVG): Magnets. Do not place stops inside these; price will likely travel through them.
🎨 WAVE ANATOMY
• Cyan Lines: Valid Impulse Waves (1, 3, 5).
• Orange Lines/Dots: EXHAUSTION. If a wave line turns Orange, Angular Momentum is decaying. The trend is dying.
• Diamonds (◆): DIVERGENCE. Price made a Higher High, but the internal oscillator (MPI) made a Lower Low. Immediate reversal warning.
🎨 SIGNALS
• Triangles: Confirmed Entries. (Green = Long, Red = Short).
• Labels (e.g., A+): The Grade of the trade based on Confluence.
• A+: Perfect Confluence (Trend + Structure + Zone + Momentum).
• C: Counter-trend or Weak.
PART 3: THE DASHBOARD ECOSYSTEM
Three panels provide Total Situational Awareness. You must read them in order: Top Right → Bottom Left → Bottom Right.
1. MISSION CONTROL (Top Right)
This panel tells you the "Weather Report."
• Neural Status:
• 🧠 TREND: Safe to trade breakout and trend-following strategies.
• 🧠 CHOP: Danger. Use mean-reversion or stay out.
• 🧠 RND (Random): No clear edge.
• Phase: Displays the Bias (Bull/Bear) and Strength. "WEAK BEARISH" usually signals a bottom is forming.
• Score Bar: A live visual meter of the Confluence Score (0-100%).
2. THE ASSISTANT (Bottom Left)
This panel acts as your co-pilot, translating data into English.
• Situation:
• "💎 BULL GEM": You are in a range, at the bottom, showing exhaustion. Buy immediately.
• "🔥 COMPRESSION": Volatility squeeze. A violent move is imminent.
• Action: Tells you exactly what to do (e.g., "Wait for confluence," "Trail Stop," "Let it develop").
• Pro Metrics (Simulated):
• Win Rate: The percentage of signals on the current visible chart that hit Target 1.
• Profit Factor: Gross Win / Gross Loss. If this is < 1.0, stop trading this asset immediately.
• Buckets: Shows the win rate of A-Grade signals vs. C-Grade signals.
3. WAVE INTELLIGENCE (Bottom Right)
This panel provides structural context.
• Channel Gauge (0-100%):
• 0-20%: Oversold / Channel Bottom.
• 80-100%: Overbought / Channel Top.
• 50%: Equilibrium.
• W3/W1 Ratio: The "Health Check" of the trend.
• < 1.0: Weak. Wave 3 is shorter than Wave 1. The trend is struggling.
• > 1.618: Extended. The move is parabolic. Expect a snap-back.
• Trend Health (0-100): Composite score of sub-wave physics. If Health < 30, the trend is effectively dead.
PART 4: PARAMETER OPTIMIZATION (THE INPUTS)
Every input allows you to tune the engine. Here is the deep dive:
🧠 NEURAL ADAPTIVE ENGINE
• Enable Neural Adaptive Engine: Master switch for the Hurst calculation.
• Hurst Period (100):
• Adjustment: Increase to 200 for Crypto/Alts (too much noise). Decrease to 50 for
Forex/Indices (need speed).
• How to tell: If the dashboard says "TREND" but the chart is sideways, INCREASE this value.
• Min/Max Lookback: Defines the constraints. Only adjust if you are an advanced user creating a custom scalping setup (e.g., Min 3 / Max 10).
🌊 WAVE & STRUCTURE
• Base Swing Detection (8): The "Anchor."
• Scalpers (1m-5m): Set to 5-8.
• Swing Traders (1H-4H): Set to 15-20.
• Min Wave Size (ATR): Prevents the script from labeling tiny wicks as waves. Increase this during high-volatility news events.
🔗 MTF STRUCTURE MAPPING
• Require Macro Align: Strict Mode. If enabled, the script checks the Higher Timeframe (e.g., 4H). If 4H is Bearish, it BLOCKS all Long signals on the 5m chart. Use this to prevent counter-trend losses.
🏦 SMART MONEY CONCEPTS
• Enable Breakers: ALWAYS ON. This turns failed Order Blocks into Breaker Zones (Purple).
• Institutional Mode: ULTRA STRICT. If enabled, signals will ONLY fire if price is physically touching an Order Block, FVG, or Breaker. This creates very few, very high-quality signals.
🎯 SIGNAL ENGINE
• Signal Mode:
• Strict: Grades A+ and A only.
• Balanced: Grades B and above.
• Aggressive: Includes counter-trend scalps (Grade C).
• Min Confluence Score (5-35): The raw points needed to trigger. 5 is standard. 10 is conservative.
PART 5: TRADE EXECUTION PLAYBOOKS
PLAYBOOK A: THE "BREAKER RETEST" (Highest Probability)
1. Context: Ribbon is Green.
2. Event: Price creates a Red Order Block, then smashes upward through it.
3. Change: The Red Block turns Purple (Bullish Breaker).
4. Trigger: Price pulls back down to touch the top of the Purple Box.
5. Signal: Green Triangle appears.
6. Action: Max Size Entry. Stop Loss below the Purple Box. Target Wave 3 Projection.
PLAYBOOK B: THE "WAVE 4 DIP" (Trend Following)
1. Context: Wave count shows "3". Ribbon is Green.
2. Event: Price pulls back towards the Ribbon.
3. Wave Panel: Wave count flips to "4".
4. Trigger: Price touches Ribbon, prints Green Triangle.
5. Action: Standard Size Entry. Stop Loss at Swing Low. Target New High (Wave 5).
PLAYBOOK C: THE "HIDDEN GEM" (Range Reversal)
1. Context: Ribbon is Grey (Consolidation). Neural Status is CHOP.
2. Wave Panel: Channel Gauge is < 10% (Extreme Bottom).
3. Visuals: Orange Exhaustion Dot + Divergence Diamond (◆).
4. Assistant: Reads "💎 BULL GEM".
5. Action: Half Size Entry. This is a counter-trend trade. Target the middle of the range (50% Channel).
PLAYBOOK D: THE "BULL TRAP" (When to Fold)
1. Context: Wave Count is "5".
2. Wave Panel: Trend Health < 30. W3/W1 Ratio > 1.618 (Extended).
3. Visuals: Orange Line appears on price high.
4. Signal: Green Triangle appears (Grade C).
5. Action: NO TRADE. The system is warning you that even though a signal fired, the structural physics indicate exhaustion.
PART 6: GRADING & SCORING MATRIX
Every signal is graded on a 35-point scale. Know what you are buying.
• Trend Alignment (5 pts): Ribbon & HTF agreement.
• Structure (5 pts): BOS (Break of Structure) & Higher Highs.
• Physics (5 pts): MPI (Volume Flow) & Angular Velocity.
• Institutional Location (10 pts):
• Inside Order Block: +3 pts
• Inside Breaker: +4 pts
• Wave 2/4 Pullback: +3 pts
• Penalty: Wave 5 Extension (-3 pts).
Grade Scale:
• A+ (Score ≥ 70%): "All In" Setup.
• A (Score 55-69%): Strong Setup.
• B (Score 40-54%): Standard Setup.
• C (Score < 40%): Dangerous.
PART 7: RISK DISCLOSURE & LIMITATIONS
1. The Reality of Adaptation (Redrawing):
The Neural Engine is dynamic. As new data arrives, the calculation of "Chaos" changes. This means historical channel lines or wave labels may shift to fit the matured trend. HOWEVER: Entry Signals (Triangles) NEVER repaint once the bar is closed.
2. Simulation vs. Reality:
The Dashboard metrics (Win Rate, Profit Factor) are Simulations run on the historical data visible on your chart. They do not account for spread, slippage, or liquidity. They are a tool to gauge the current market personality, not a promise of future returns.
3. No Financial Advice:
Wave Dynamics is a tool for structural analysis. It helps you see the market, but it cannot trade for you. You are responsible for your own risk management.
CLOSING THOUGHTS
Wave Dynamics is not just an indicator; it is a lens. It allows you to see the market not as a random walk of candles, but as a structured, breathing entity.
Trust the Neural Status. Respect the Breakers. Fear the Exhaustion.
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
SMC + Dual UT Bot buy and sell AlertsMise a jour avec un EMA 20/50 et vwap
his script is a composite indicator for TradingView (Pine Script v5) that merges Smart Money Concepts (SMC) with a Dual-instance UT Bot. It has been styled with a high-contrast "Neon Cyberpunk" theme (Cyan/Pink) and is fully compliant with the CC BY-NC-SA 4.0 license.
Here is a breakdown of its two main components:
1. Smart Money Concepts (SMC)
This portion, originally by LuxAlgo, is designed to identify institutional price levels and structural market shifts. It provides a detailed map of market structure rather than simple entry/exit signals.
Market Structure (BOS & CHoCH):
BOS (Break of Structure): Marks trend continuation (e.g., breaking a higher high in an uptrend).
CHoCH (Change of Character): Marks potential trend reversals (e.g., the first time a higher low is broken in an uptrend).
Order Blocks (OB):
Highlights specific candles where institutional buying or selling likely occurred. These act as high-probability support/resistance zones.
Neon Blue/Cyan for Bullish OBs.
Neon Pink for Bearish OBs.
Fair Value Gaps (FVG):
Identifies imbalances (gaps) in price action where the market often returns to "fill" orders.
Neon Mint for Bullish FVGs.
Neon Red for Bearish FVGs.
Premium/Discount Zones: Automatically plots the range equilibrium (50% level) to help you buy in "Discount" (low) and sell in "Premium" (high) areas.
Liquidity (EQH/EQL): Automatically detects "Equal Highs" and "Equal Lows," which are magnets for price as they represent liquidity pools (stop losses).
2. Dual UT Bot Alerts
This portion provides the actual Entry Signals. It runs two separate instances of the "UT Bot" strategy simultaneously with different sensitivity settings to filter noise.
Instance 1 (Buy Only):
Settings: Key Value = 4, ATR Period = 10 (Faster, more sensitive).
Visual: Plots a Neon Cyan "Buy" label.
Function: Looks for bullish reversals earlier to catch the start of a move.
Instance 2 (Sell Only):
Settings: Key Value = 7, ATR Period = 20 (Slower, smoother).
Visual: Plots a Neon Pink "Sell" label.
Function: Uses a wider ATR band to avoid getting shaken out of shorts too early, focusing on major downtrends.
How to Use It
The strength of this script is confluence.
Wait for a Signal: Look for a UT Bot "Buy" or "Sell" tag.
Confirm with SMC: Check if the signal aligns with SMC concepts.
Example Buy: Did the UT Bot give a "Buy" signal while price was bouncing off a Bullish Order Block?
Example Buy: Did price just sweep Liquidity (EQL) before the Buy signal?
Example Sell: Is the "Sell" signal happening inside a Premium Zone or a Bearish Fair Value Gap?
avant-hier
Notes de version
1. "Pro" Badge Buy/Sell Labels
The standard text signals have been replaced with modern, professional Badge Labels that provide more information at a glance.
Visuals: Instead of simple text, the script now uses label.new to create high-visibility badges.
BUY: A Neon Cyan badge with a Rocket icon (🚀).
SELL: A Neon Pink badge with a Chart icon (📉).
Price Details: Each badge displays the exact Entry Price directly on the label.
Tooltips: If you hover your mouse over a Buy or Sell badge, a tooltip will appear showing the exact Take Profit (TP) and Stop Loss (SL) prices calculated for that trade.
2. Dynamic Take Profit (TP)
The script now automatically calculates a profit target for every trade the moment a signal is generated.
Calculation: It measures the distance between your Entry Price and the initial Stop Loss (the ATR Trailing Stop).
Risk:Reward: It multiplies that distance by your chosen Risk:Reward Ratio (default is 1.5) to project a TP target.
Visual Line: A Green Line is drawn on the chart at the TP level. It remains active until price hits it or the stop loss.
3. Active Trailing Stop Loss (SL)
The Stop Loss is no longer static; it is now "alive" and manages the trade for you.
Trailing Logic: If Use Trailing SL? is enabled (default), the SL line will automatically move up (for longs) or move down (for shorts) as the trend continues in your favor. It locks in profit by following the UT Bot's ATR trailing band.
Visual Line: A Red Line is drawn at the SL level. You can see it physically step up or down on the chart as the trend progresses.
4. Real-Time Trade Simulation
The script now simulates the lifecycle of a trade directly on the chart:
Active State: When a trade is live, the TP and SL lines extend to the right of the current candle (bar_index + 1), showing you exactly where your exit points are in real-time.
Closed State: Once the price hits either the Green TP line or the Red SL line, the script detects the "Exit." The lines stop extending and turn dotted, indicating that the trade is closed and waiting for the next signal.
Summary of New Settings
You will find a new group in the settings panel called "UT Bot: Trade Management":
TP Risk:Reward Ratio: Adjust this to change how far the Green TP line is placed (e.g., set to 2.0 for 2x return).
Use Trailing SL?: Uncheck this if you want the Red SL line to stay fixed at the initial entry risk level.
avant-hier
Notes de version
1. Live Strategy Performance Dashboard (Backtester)
Since this is an indicator, TradingView does not automatically calculate PnL (Profit and Loss). I have built a custom Simulation Engine inside the script that tracks every UT Bot signal as if you had taken the trade.
Location: Bottom Right of your chart.
Win Rate: Displays the percentage of trades that hit the Take Profit target versus the Stop Loss.
Trades (W/L): Shows the total number of signals generated, broken down by Wins and Losses.
Net Profit (R): Calculates your theoretical profit in "R-Multiples" (Risk Units).
Example: If you set your Risk:Reward to 2.0, every win adds +2R, and every loss subtracts -1R.
Dynamic Colors: The Win Rate and Profit cells turn Neon Cyan if positive (>50% or >0R) and Neon Pink if negative.
2. Multi-Timeframe Trend Dashboard
A new panel at the Top Right gives you an instant "Market Bias" reading so you don't have to scan the whole chart.
SMC Trend: Reads the Smart Money structure (Break of Structure/Change of Character) to determine if the high-level timeframe is BULLISH or BEARISH.
UT Bot Status: Displays the current active signal state:
BUY (Active): You are currently in a Long trade.
SELL (Active): You are currently in a Short trade.
NEUTRAL: No active signal or the last trade hit TP/SL.
3. Integrated Alert System
I have connected the visual lines to the alert system. You can now set a single alert on this indicator, and it will trigger for:
Entry Signals: "UT Long Entry" / "UT Short Entry"
Exits: "Take Profit Hit" / "Stop Loss Hit"
4. Consolidated Settings
To make the script easier to manage, I organized the settings into clear groups:
Dashboards: Toggle the visibility of the new panels or move the Performance Panel to a different corner.
UT Bot: Trade Management: Quickly adjust your Risk:Reward Ratio (e.g., change from 1.5 to 2.0) to see how it affects your Win Rate in real-time on the dashboard.
avant-hier
Notes de version
1. Multi-Timeframe (MTF) Trend Scanner
I have replaced the basic "Market Bias" panel with a comprehensive MTF Trend Dashboard located at the Top Right of your chart.
What it tracks: It simultaneously monitors the trend direction on 5 distinct timeframes:
15 Minute
1 Hour
4 Hour
Daily
Weekly
How it works: It runs a background calculation (using UT Bot settings Key=5, ATR=15) on these higher timeframes without you needing to switch charts.
Visuals:
BULLISH: Highlighted in Neon Cyan.
BEARISH: Highlighted in Neon Pink.
2. Strategic Confluence (How to use it)
This new dashboard transforms the script from a simple "signal generator" into a complete trading system by allowing you to filter trades based on the bigger picture.
The "All-Green" Rule: If you are scalping on a 5-minute chart and you get a BUY signal, check the dashboard. If the 1H, 4H, and Daily are all Neon Cyan (Bullish), that trade has a significantly higher probability of success.
Avoid Counter-Trend Trades: If your main chart says BUY, but the dashboard shows the 4H and Daily are Neon Pink (Bearish), you are trading against the major trend. You might want to skip that trade or reduce your risk size.
3. Summary of Dashboards
You now have two professional-grade panels on your screen:
Bottom Right (Performance): Shows the past results of the strategy on your current timeframe (Win Rate, Profit Factor).
Top Right (Trend): Shows the current state of the market across all timeframes.
Squeeze ChannelSqueeze Channel
Volatility compression is one of the most reliable precursors to significant price movement. When markets consolidate, energy builds—like a coiled spring waiting to release. This indicator detects these compression phases using the classic squeeze methodology, then captures the consolidation range as a tradeable channel. The tighter the squeeze, the more potential energy stored for the eventual breakout.
What makes this approach effective is the combination of volatility-based timing with price structure. Rather than blindly trading every squeeze release, the indicator defines clear breakout levels based on the actual swing highs and lows formed during compression. This creates objective entry triggers while the squeeze intensity gradient (yellow → red) helps gauge the quality of the setup before committing.
How It Works
Squeeze Detection
The indicator identifies periods of volatility compression when Bollinger Bands contract inside Keltner Channels. A 5-color gradient (yellow → orange → red) visualizes squeeze intensity in real-time—the tighter the squeeze, the closer to red.
Channel Formation
When a squeeze begins, the indicator captures a swing high/low channel:
- Lookback : Grabs the highest high and lowest low over the past N bars
- Lookforward : Allows the channel to expand if price exceeds bounds in the first few bars
- Lock : Once the expansion window closes, the channel locks in place
The channel persists until price breaks out, regardless of whether the squeeze has ended.
Signal Types
Primary Signals
Bullish Breakout | 🔼 Teal Triangle | Close above channel high
Bearish Breakout | 🔽 Red Triangle | Close below channel low
Failed Breakout Reversals
When enabled, the indicator watches for failed breakouts—price breaks one direction then reverses through the opposite channel bound.
Bull Reversal | 💎 Cyan Diamond | Failed bear breakout, reclaims above
Bear Reversal | 💎 Magenta Diamond | Failed bull breakout, breaks below
Extended S/R Retest Signals
After a breakout, channel levels are stored as support/resistance for future retests. These levels remain invisible until price approaches within a user-defined ATR distance.
S/R Bull Breakout | 🔼 Faded Triangle | Breaks above extended resistance
S/R Bear Breakout | 🔽 Faded Triangle | Breaks below extended support
S/R Bull Reversal | 💎 Faded Diamond | Reclaims extended support
S/R Bear Reversal | 💎 Faded Diamond | Rejected at extended resistance
Settings
Squeeze Detection
- Bollinger Length (default: 12) — Shorter length = tighter bands, easier squeeze entry
- Bollinger Multiplier (default: 2.0)
- Keltner Length (default: 20)
- Keltner ATR Multiplier (default: 2.0) — Higher = wider channel, easier squeeze entry
Channel Settings
- Swing Lookback Bars (default: 5) — Bars to look back for initial channel
- Swing Lookforward Bars** (default: 3) — Bars to allow channel expansion
Reversal Detection
- Enable Failed Breakout Reversal — Toggle reversal signals on/off
- Reversal Watch Bars (default: 7) — How long to watch for failed breakout
Extended S/R
- Show Extended S/R Levels — Display historical channel levels
- Enable S/R Retest Signals — Toggle retest signals on/off
- Extended Level Bars (default: 50) — How long levels remain active
- S/R Signal Delay Bars (default: 5) — Delay before retest signals activate (filters noise)
- ATR Proximity Threshold (default: 1.0) — Distance for level visibility
- ATR Length (default: 14)
Visual Guide
- Colored dots = Active squeeze channel (gradient shows intensity)
- Fuchsia dots = Channel waiting for breakout (squeeze ended)
- Faded teal/red dots = Extended S/R levels (appear on proximity)
- Triangles = Breakout signals
- Diamonds = Reversal signals (failed breakouts)
NeuraEdge ORB - Opening Range Breakout IndicatorOVERVIEW
NeuraEdge ORB is an open-source Opening Range Breakout indicator that automates the classic 15-minute ORB strategy. The indicator tracks the first 15 minutes of market action (9:30-9:45 AM ET), identifies breakouts above or below this range, and generates trading signals with automated stop loss and take profit calculations.
The Opening Range Breakout concept is based on the observation that the initial price action after market open often establishes directional bias for the trading session, as institutional order flow and overnight gap reactions manifest during this window.
CORE METHODOLOGY
Opening Range Construction:
The indicator uses session-based time detection to identify the 9:30-9:45 AM Eastern Time window. During this period, it tracks the highest high and lowest low to establish the opening range boundaries. The range is marked complete when the 15-minute window closes.
Calculation process:
OR High = Maximum high value during the 15-minute window
OR Low = Minimum low value during the 15-minute window
OR Midpoint = (OR High + OR Low) / 2
Range Size = OR High - OR Low (compared to 14-period ATR for context)
Breakout Detection:
The indicator identifies breakouts using close-price confirmation to reduce false signals from wicks:
Bullish breakout: Close above OR High (with previous close at or below OR High)
Bearish breakout: Close below OR Low (with previous close at or above OR Low)
The indicator tracks whether each direction has already broken to prevent duplicate signals on the same range.
Entry Type Logic:
Two entry methodologies are supported:
Breakout Mode - Signals immediately upon range break. Enters on the breakout bar when close confirms direction.
Retest Mode - Waits for price to break the range, then pullback to touch the range level before entering. Cancels if price moves too far beyond midpoint. This provides better entry prices with tighter stop losses.
Volume Confirmation:
Optional volume filter compares current bar volume to 20-period simple moving average. Requires volume > 1.2x average to validate breakout strength and filter low-conviction moves.
Fair Value Gap (FVG) Integration:
Optional confluence filter that checks for unfilled FVG in the breakout direction:
Bullish FVG detected when: current bar's low > two bars ago high (creating gap)
Bearish FVG detected when: current bar's high < two bars ago low (creating gap)
Minimum FVG size: 0.3x ATR to filter noise
FVG considered filled when price retraces to gap midpoint
Signals only generate when an unfilled FVG exists in the breakout direction, adding institutional order flow confluence.
Risk Management Calculations:
Three stop loss placement methods:
Opposite Side - SL at opposite end of opening range (classic ORB approach)
Midpoint - SL at range midpoint (tighter risk, lower reward potential)
ATR Based - SL at 1.5x ATR from entry (adaptive to volatility)
Take profit calculated as: Entry ± (Entry - Stop Loss) × Risk:Reward Ratio
Default 1.5:1 R:R ratio, adjustable from 1.0 to 5.0.
Performance Tracking:
The indicator maintains a trade history using Pine Script's type system:
Records entry price, stop loss, take profit, and direction for each signal
Tracks outcome when price hits stop loss or take profit levels
Auto-closes after 80 bars if neither level hit
Calculates rolling win rate from last 50 trades maximum
Displays W/L record in real-time dashboard
VISUAL COMPONENTS
Opening Range Box:
Semi-transparent blue box drawn from range start bar to current bar + 20, showing the established range boundaries visually.
Range Levels:
Green line at OR High (potential long entry level)
Red line at OR Low (potential short entry level)
Gray dotted line at OR Midpoint (reference level)
All lines extend 50 bars forward for anticipation.
Trade Signals:
Green up arrow with "LONG ORB Break" label below price
Red down arrow with "SHORT ORB Break" label above price
Dashed lines showing SL and TP levels extending 30 bars
Small labels marking SL and TP endpoints
Real-Time Dashboard:
Top-right panel displaying:
OR formation status (Forming / Complete / Waiting)
Current OR High, Low, and Range size (with ATR multiple)
Breakout status (Long / Short / None)
Volume status (High / Normal)
FVG presence (Bull / Bear / None)
Entry settings (Breakout/Retest, R:R, SL type)
Win rate percentage and W/L record
PRACTICAL APPLICATION
Ideal Market Conditions:
Liquid instruments: SPY, QQQ, IWM, high-volume stocks
Recommended timeframes: 1-minute or 5-minute charts for precise entries
Most effective during trending days with clear directional bias
Range size between 0.5-1.5x ATR typically provides best risk:reward
Usage Workflow:
Apply indicator at market open (9:30 AM ET)
Observe range formation during first 15 minutes
Wait for "Complete" status in dashboard
Monitor for breakout signals with volume/FVG confirmation
Enter on signal, place stop loss and take profit as marked
Avoid taking opposing signals on same day (trend following approach)
Retest vs Breakout Selection:
Use Breakout mode on high-momentum days with strong overnight gaps
Use Retest mode on slower days or when seeking better entry prices
Retest mode reduces signal frequency but improves entry quality
Time-of-Day Considerations:
The indicator includes a trading cutoff setting (default 3:00 PM ET) to avoid late-day chop and reduced liquidity. First-hour breakouts (10:00-11:00 AM) historically show strongest follow-through.
SETTINGS & CUSTOMIZATION
Display Options:
Toggle signals, opening range box, and dashboard independently
Clean visual design to reduce chart clutter
Opening Range Settings:
Opening range duration (5-60 minutes in 5-minute increments)
Default 15 minutes aligns with classic ORB methodology
Trading cutoff hour (10-16, representing 10:00 AM - 4:00 PM ET)
Entry Configuration:
Entry type (Breakout / Retest)
Volume confirmation toggle (requires 1.2x average volume)
FVG confluence toggle (requires unfilled gap in breakout direction)
Risk Management:
Stop loss placement (Opposite Side / Midpoint / ATR Based)
Risk:reward ratio (1.0 - 5.0, default 1.5)
Future: Trail stop after partial TP (currently placeholder)
Alert System:
Five alert conditions available:
Opening Range Complete
ORB Long Signal
ORB Short Signal
Breakout Up (range broken, regardless of signal)
Breakout Down (range broken, regardless of signal)
BEST PRACTICES
Recommended Usage:
Focus on highly liquid instruments with tight spreads
Use 1-5 minute charts for entry precision
Respect calculated stop losses (range defines maximum risk)
Typically 1-2 quality setups per day maximum
Consider overall market trend (SPY/QQQ direction)
Risk Considerations:
Very small ranges (< 0.3x ATR) prone to false breakouts
Very large ranges (> 2x ATR) may indicate gap day requiring adjusted expectations
Low volume breakouts fail more frequently
Avoid trading both directions on same day (pick strongest setup)
IMPORTANT DISCLOSURES
This indicator is provided free and open-source for educational purposes. The Opening Range Breakout strategy is a well-documented public domain trading concept. This implementation adds automation, visual clarity, and optional confluence filters.
No indicator guarantees profitable trades. Past performance does not predict future results. Traders are responsible for their own trading decisions and risk management. Always use appropriate position sizing and never risk more than you can afford to lose.
Ichimoku + EMA + RSI [Enhanced]# **Ichimoku + EMA + RSI Strategy - User Instructions**
---
## **📋 TABLE OF CONTENTS**
1. (#installation)
2. (#strategy-overview)
3. (#parameter-configuration)
4. (#understanding-the-dashboard)
5. (#entry--exit-rules)
6. (#best-practices)
7. (#optimization-guide)
8. (#troubleshooting)
---
## **🚀 INSTALLATION**
### **Step 1: Add to TradingView**
1. Open TradingView.com
2. Click **Pine Editor** (bottom of screen)
3. Click **"New"** → Select **"Blank indicator"**
4. Delete all default code
5. **Copy and paste** the complete script
6. Click **"Save"** (give it a name: "Ichimoku EMA RSI Strategy")
7. Click **"Add to Chart"**
### **Step 2: Verify Installation**
✅ You should see:
- Orange **200 EMA** line
- Blue **Tenkan** line
- Red **Kijun** line
- Green/Red **Cloud** (Ichimoku cloud)
- **Dashboard** in top-right corner
- **Strategy Tester** tab at bottom
---
## **📊 STRATEGY OVERVIEW**
### **What This Strategy Does**
Combines three powerful technical indicators to identify high-probability trades:
| Component | Purpose |
|-----------|---------|
| **200 EMA** | Determines overall trend direction |
| **Ichimoku Cloud** | Provides support/resistance and momentum |
| **RSI** | Filters momentum strength |
| **Dashboard** | Real-time signal analysis |
### **Trading Logic**
- **LONG**: Enter when all bullish conditions align
- **SHORT**: Enter when all bearish conditions align
- **EXITS**: Automatic via trailing stops, cloud breach, or TK cross reversal
---
## **⚙️ PARAMETER CONFIGURATION**
### **🔵 Trend Filter Settings**
```
EMA Length: 200 (default)
```
- **Lower (100-150)**: More sensitive, faster signals
- **Higher (250-300)**: More stable, slower signals
- **Recommendation**: Keep at 200 for most timeframes
---
### **🟢 RSI Settings**
```
RSI Length: 14 (default)
RSI Long Minimum: 55
RSI Short Maximum: 45
```
**Adjustment Guide:**
- **Aggressive** (more signals): Long=50, Short=50
- **Balanced** (default): Long=55, Short=45
- **Conservative** (fewer signals): Long=60, Short=40
---
### **🟡 Ichimoku Settings**
```
Tenkan Period: 9
Kijun Period: 26
Senkou B Period: 52
Displacement: 26
```
**Standard Configurations:**
| Timeframe | Tenkan | Kijun | Senkou B |
|-----------|--------|-------|----------|
| **1H - 4H** | 9 | 26 | 52 |
| **15m - 1H** | 7 | 22 | 44 |
| **Daily** | 9 | 26 | 52 |
**Filters:**
- ✅ **Require Chikou Confirmation**: Adds extra validation (recommended)
- ✅ **Require Cloud Position**: Price must be above/below cloud (recommended)
---
### **🔴 Risk Management**
```
ATR Length: 14
ATR Stop Loss Multiplier: 2.0
ATR Take Profit Multiplier: 3.0
Min Bars Between Trades: 3
```
**Risk/Reward Profiles:**
| Profile | SL Multiplier | TP Multiplier | Description |
|---------|---------------|---------------|-------------|
| **Conservative** | 2.5 | 4.0 | Wider stops, higher R:R |
| **Balanced** | 2.0 | 3.0 | Default settings |
| **Aggressive** | 1.5 | 2.5 | Tighter stops, faster exits |
---
### **🎨 Display Settings**
```
Show Dashboard: ON
Show Entry Signals: ON
```
- **Dashboard**: Shows real-time analysis
- **Entry Signals**: Green/Red arrows on chart
---
## **📈 UNDERSTANDING THE DASHBOARD**
### **Dashboard Components**
```
┌─────────────────────┬──────────┐
│ Component │ Status │
├─────────────────────┼──────────┤
│ EMA Trend │ BULL/BEAR│
│ Cloud │ ABOVE/BELOW/INSIDE│
│ TK Cross │ BULL/BEAR│
│ RSI │ 55.3 │
│ Chikou │ BULL/BEAR│
│ Signal │ STRONG LONG│
└─────────────────────┴──────────┘
```
### **Signal Interpretation**
| Signal | Score | Meaning | Action |
|--------|-------|---------|--------|
| **STRONG LONG** | 7+ | All conditions aligned | High confidence LONG |
| **LONG** | 4-6 | Most conditions met | Moderate confidence |
| **NEUTRAL** | <4 | Mixed signals | Wait for clarity |
| **SHORT** | 4-6 | Bearish bias | Moderate SHORT |
| **STRONG SHORT** | 7+ | All bearish conditions | High confidence SHORT |
---
## **📍 ENTRY & EXIT RULES**
### **✅ LONG ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **above** 200 EMA
2. ✅ Price **above** Ichimoku Cloud
3. ✅ Tenkan **crosses above** Kijun (TK Bull Cross)
4. ✅ RSI **above** 55
5. ✅ Chikou **above** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🟢 Green triangle **below** candle
- Dashboard shows **"STRONG LONG"**
---
### **❌ LONG EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **below** cloud bottom
2. ❌ Tenkan **crosses below** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
### **✅ SHORT ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **below** 200 EMA
2. ✅ Price **below** Ichimoku Cloud
3. ✅ Tenkan **crosses below** Kijun (TK Bear Cross)
4. ✅ RSI **below** 45
5. ✅ Chikou **below** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🔴 Red triangle **above** candle
- Dashboard shows **"STRONG SHORT"**
---
### **❌ SHORT EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **above** cloud top
2. ❌ Tenkan **crosses above** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
## **💡 BEST PRACTICES**
### **Recommended Timeframes**
| Timeframe | Trading Style | Signals/Week |
|-----------|---------------|--------------|
| **15m** | Scalping | 20-30 |
| **1H** | Day Trading | 10-15 |
| **4H** | Swing Trading | 5-10 |
| **Daily** | Position Trading | 2-5 |
---
### **Asset Classes**
✅ **Best Performance:**
- Major Forex pairs (EUR/USD, GBP/USD)
- Crypto (BTC/USD, ETH/USD)
- Major indices (SPX, NAS100)
⚠️ **Use Caution:**
- Low liquidity pairs
- Highly volatile altcoins
- Stocks with gaps
---
### **Risk Management Rules**
```
1. Never risk more than 2% per trade
2. Use the built-in ATR stops (don't override)
3. Respect the "Min Bars Between Trades" cooldown
4. Don't trade during major news events
5. Monitor dashboard - only trade STRONG signals
```
---
## **🔧 OPTIMIZATION GUIDE**
### **Step 1: Run Initial Backtest**
1. Open **Strategy Tester** tab (bottom of screen)
2. Set date range (minimum 6 months)
3. Review:
- **Net Profit**
- **Win Rate** (target: >50%)
- **Profit Factor** (target: >1.5)
- **Max Drawdown** (target: <20%)
---
### **Step 2: Optimize Parameters**
**If Win Rate is Low (<45%):**
- Increase RSI thresholds (Long=60, Short=40)
- Enable both Chikou + Cloud filters
- Increase "Min Bars Between Trades" to 5
**If Too Few Signals:**
- Decrease RSI thresholds (Long=50, Short=50)
- Reduce EMA to 150
- Adjust Ichimoku to faster settings (7/22/44)
**If Drawdown is High (>25%):**
- Increase ATR Stop Loss Multiplier to 2.5
- Add longer cooldown period (5+ bars)
- Trade only STRONG signals
---
### **Step 3: Forward Test**
```
1. Paper trade for 2-4 weeks
2. Compare results to backtest
3. Adjust if live results differ significantly
4. Only go live after consistent paper trading success
```
---
## **🛠️ TROUBLESHOOTING**
### **Problem: No Signals Appearing**
**Solutions:**
- Check RSI levels aren't too restrictive
- Verify timeframe is appropriate (try 1H or 4H)
- Ensure both filters aren't enabled on ranging markets
- Review dashboard - components may be conflicting
---
### **Problem: Too Many Losing Trades**
**Solutions:**
- Enable **both** Chikou + Cloud filters
- Increase RSI thresholds (more conservative)
- Only trade when dashboard shows "STRONG" signals
- Increase cooldown period to avoid overtrading
---
### **Problem: Dashboard Not Showing**
**Solutions:**
- Verify "Show Dashboard" is enabled in settings
- Check chart isn't zoomed out too far
- Refresh chart (F5)
- Re-add indicator to chart
---
### **Problem: Stops Too Tight/Wide**
**Solutions:**
- **Too Tight**: Increase ATR Stop Loss Multiplier to 2.5-3.0
- **Too Wide**: Decrease to 1.5-1.8
- Verify ATR Length is appropriate for timeframe
- Consider asset volatility (crypto needs wider stops)
---
## **📞 QUICK REFERENCE CARD**
```
═══════════════════════════════════════════════════
STRATEGY QUICK REFERENCE
═══════════════════════════════════════════════════
BEST TIMEFRAMES: 1H, 4H, Daily
BEST ASSETS: Major Forex, BTC, ETH, Indices
RISK PER TRADE: 1-2% of capital
LONG ENTRY:
✓ Price > 200 EMA
✓ Price > Cloud
✓ TK Bull Cross
✓ RSI > 55
✓ Dashboard = STRONG LONG
SHORT ENTRY:
✓ Price < 200 EMA
✓ Price < Cloud
✓ TK Bear Cross
✓ RSI < 45
✓ Dashboard = STRONG SHORT
EXITS:
× Cloud breach
× TK reverse cross
× ATR trailing stop
× Take profit (3:1 R:R)
═══════════════════════════════════════════════════
```
---
## **⚠️ DISCLAIMER**
This strategy is for **educational purposes only**. Always:
- Backtest thoroughly on your specific assets
- Paper trade before going live
- Never risk more than you can afford to lose
- Past performance ≠ future results
- Consider market conditions and your risk tolerance
---
**Happy Trading! 📈**
TradingView — Track All Markets
Where the world charts, chats, and trades markets. We're a supercharged super-charting platform and social network for traders and investors. Free to sign up.
SuperTrend AI + PVSRA Full DashboardI tried to combine various indicators already created in a single version that can also guarantee a certain customization on colors, intensity of tables, etc. etc. The functioning, the operation is similar to the previous ones, I won't go into detail, at most take a look at the previous versions.
1. The "AI" Component: Multi-SuperTrend Clustering
Instead of using a single SuperTrend with a fixed multiplier, this script:
Simultaneously runs multiple SuperTrends with different sensitivities (multipliers).
Evaluates Performance: It tracks which multiplier would have been most profitable in recent bars.
K-Means Clustering: It uses an AI algorithm to group these multipliers into "Best," "Average," and "Worst" clusters.
Adaptive Trailing Stop: It automatically selects the "Best" multiplier to plot the AI Trailing Stop line on your chart, making it more responsive to changing market volatility than a standard indicator.
2. PVSRA Logic (Institutional Volumes)
PVSRA stands for Price Volume Support Resistance Analysis. The script re-colors candles based on volume intensity:
Climax Bull (Bright Green): Extremely high volume on a bullish candle. Usually indicates institutional buying or a trend climax.
Climax Bear (Magenta/Purple): Extremely high volume on a bearish candle. Usually indicates institutional selling or a panic bottom.
Rising (Grey/Silver): Above-average volume, showing increasing interest.
3. The "Super Confluence" Signal
This is the "Golden Signal" of the script. It triggers a BUY or SELL label only when several conditions align:
AI Trend Switch: The AI Trailing Stop flips direction.
SMA 20 Cross: The AI line crosses the 20-period Simple Moving Average.
Volume Confirmation: A PVSRA Climax or Rising volume must occur on that specific bar.
Directional Alignment: The candle color must match the trend direction.
4. Summary Dashboard (Top Right)
The dashboard provides a "Quick Glance" at the market structure:
AI Trend: Shows if the machine learning model is currently Bullish or Bearish.
PVSRA Vol: Identifies the current volume signature (Normal vs. Climax).
SMA 20/50: Shows medium-term momentum (Bullish if 20 > 50).
Trend 200: Shows the macro trend. ABOVE means long-term bullish; BELOW means long-term bearish.
How to Trade with This Script
Signal Strategy
"SUPER CONFLUENCE BUY" Look for entries. High probability if Trend 200 is "ABOVE".
"SUPER CONFLUENCE SELL" Look for shorts. High probability if Trend 200 is "BELOW".
Magenta/Green Candles Caution: These are "Stop Hunts" or "Institutional Entries." Do not
trade against these candles without a clear reversal pattern.
Technical Tip
The variable target_f is the "AI-optimized multiplier." If you see this value changing frequently in the dashboard, it means the market is volatile, and the AI is struggling to find a stable trend. If it stays consistent, the trend is likely solid.
Thanks everyone and happy trading
Orion Time Matrix | ICT Macros [by AK]ORION TIME MATRIX | ICT MACRO SUITE
The Orion Time Matrix is a precision timing instrument designed to decipher the algorithmic "Heartbeat" and the timing of institutional order flow in US Index Futures markets, specifically Nasdaq (NQ) and S&P 500 (ES).
Inspired by the "Time & Price" teachings of Michael J. Huddleston (The Inner Circle Trader), this tool maps out the specific time windows where algorithms seek liquidity and price delivery is most efficient.
***CILGIN INDIKATOR***ÇILGIN INDICATOR – User Guide
OVERVIEW
ÇILGIN INDICATOR is a multi-layer trend and momentum confirmation tool designed for discretionary traders.
It combines Relative RSI, EMA structure, SuperTrend logic, Momentum, and optional CCI & ADX filters into a single visual system.
Purpose:
Filter market noise, confirm trend strength, and highlight high-probability Buy / Sell zones.
The indicator works on all symbols and all timeframes.
RELATIVE RSI & MOMENTUM
The indicator can work in two modes:
NORMAL MODE (Formula OFF)
RSI is calculated directly from the chart symbol.
FORMULA MODE (Formula ON)
RSI is calculated from a relative price formula:
Base Symbol / Denominator 1 / Denominator 2
This allows relative strength analysis against indices, sectors, or benchmarks.
RSI SIGNAL LOGIC
RSI Signal Line = SMA of RSI
RSI 50 Level = Trend bias reference
BUY SIGNAL
RSI crosses above the signal line
Optional: RSI must also cross above 50 (Double Confirmation)
SELL SIGNAL
RSI crosses below the signal line
Optional: RSI must also cross below 50
Small arrows on the chart represent RSI-based Buy and Sell signals.
EMA STRUCTURE
Five adaptive EMAs are plotted: EMA 1
EMA 5
EMA 21
EMA 50
EMA 100
EMA lengths automatically adapt to timeframe speed.
EMA BUY LOGIC
Fast EMA crosses above any slower EMA.
EMA SELL LOGIC
Fast EMA crosses below any slower EMA.
EMAs define:
Trend direction
Dynamic support and resistance
Momentum shifts
SUPERTREND SYSTEM
A custom ATR-based SuperTrend is used.
Features:
Optional candle wick usage
Dynamic trailing stop
Visual Buy / Sell labels
SUPERTREND BUY
Trend flips from bearish to bullish.
SUPERTREND SELL
Trend flips from bullish to bearish.
Colored zones visualize the active trend direction.
STRONG BUY & STRONG SELL SIGNALS
A Strong Signal is generated only when multiple conditions agree.
STRONG BUY
RSI Buy Signal
SuperTrend Buy Signal
Optional CCI Filter confirmation
Optional ADX Filter confirmation
STRONG SELL
RSI Sell Signal
SuperTrend Sell Signal
Optional CCI Filter confirmation
Optional ADX Filter confirmation
Strong signals are displayed as large labeled markers: “STRONG BUY”
“STRONG SELL”
Designed for trend-following entries, not market noise.
CCI & ADX FILTERS (OPTIONAL)
CCI FILTER
Buy allowed only if CCI > 0
Sell allowed only if CCI < 0
ADX FILTER
ADX must be above minimum level
Direction confirmed using +DI and -DI
These filters help avoid sideways markets and weak trends.
INFORMATION PANELS
PANEL A (Top Right)
Daily percentage change
Weekly percentage change
Monthly percentage change
Daily volume (millions)
PANEL B (Bottom Right)
Relative RSI value
RSI signal value
Relative momentum
Market status (Bull / Bear)
Provides instant market context without extra indicators.
ALERTS
Built-in alerts are available for:
STRONG BUY
STRONG SELL
Suitable for automation and watchlist monitoring.
BEST PRACTICES
Use Formula Mode for relative strength analysis
Enable CCI & ADX filters on higher timeframes
Combine signals with price action and key levels
Do not use as a standalone trading system
DISCLAIMER
This indicator is a decision-support tool and does not provide financial advice.
Always manage risk and confirm signals with your own analysis.
Momentum Status Tracker by VKKScript Coder: Vivek K.
Disclaimer : Use this indicator at your own risk. Do proper back testing to make sure it works for you. I am not responsible for any losses you may have. Indicator may give false signals during consolidation state. Make sure to use other indicators for correct momentum or directional confirmations.
Bullish: Price is above the 5, 13, 20 EMAs AND the VWAP.
Bearish: Price is below the 5, 13, 20 EMAs AND the VWAP.
Cautious: This triggers when the "stack" is broken. For example, if you are in a clear uptrend but the price closes below the 5 EMA, the table will flip to Cautious to warn you of a potential slowdown.
Neutral: Used as a fallback if the price is chopping directly inside the EMA cluster.
4 EMA Perfect Order + Strength + MTF + Breakdown Alerts (v6)🇯🇵 日本語説明文
📌 スクリプト概要
このスクリプトは、EMA10・20・40・80 を使用して「パーフェクトオーダー（PO）」を判定し、
PO が確定した瞬間と、PO が崩壊した瞬間の両方を自動で検知して通知します。
さらに、PO の強さ（短期と長期 EMA の乖離率）を数値化して表示し、
上位足（MTF）でも同様の判定と強さ表示が可能です。
トレンドの「始まり」と「終わり」をどちらも捉えることができる、
トレンドフォローに最適化されたインジケーターです。
🔧 機能一覧
• EMA10/20/40/80 のライン表示（黒・赤・オレンジ・青）
• パーフェクトオーダー（Bull/Bear）の自動判定
• PO確定時に矢印（▲/▼）を表示
• PO崩壊（Break）を検知してシグナル表示
• POの強さ（乖離率）をリアルタイム表示
• 上位足（MTF）での PO 判定と強さ表示
• アラート条件付き
• Bull PO 確定
• Bear PO 確定
• Bull PO 崩壊
• Bear PO 崩壊
• 背景は白で視認性を重視
📈 パーフェクトオーダーとは？
• Bull PO（上昇トレンド）
EMA10 > EMA20 > EMA40 > EMA80
• Bear PO（下降トレンド）
EMA10 < EMA20 < EMA40 < EMA80
PO が確定したバーで矢印とアラートが発生し、
PO が崩れた瞬間にもアラートが発生します。
🧠 活用例
• トレンドの勢い（強さ）を数値で把握
• 上位足のトレンドと一致しているか確認
• トレンドフォロー戦略のフィルターとして利用
• PO崩壊を使って利確・撤退の判断材料に
• MTFと組み合わせて精度を向上
🇺🇸 English Description
📌 Overview
This script detects “Perfect Order” (PO) conditions using EMA10, EMA20, EMA40, and EMA80.
It alerts you both when a PO is confirmed and when it breaks down, allowing you to capture the beginning and the end of a trend.
The script also calculates PO strength (based on EMA divergence) and supports multi‑timeframe (MTF) analysis.
This indicator is designed for traders who want to track trend momentum and identify early signs of trend reversal.
🔧 Features
• Displays EMA10/20/40/80 with color coding (black, red, orange, blue)
• Detects Bull and Bear Perfect Order conditions
• Shows arrows (▲/▼) when PO is confirmed
• Detects PO breakdown and displays a signal
• Displays PO strength as a percentage (EMA10 vs EMA80 divergence)
• Supports MTF PO detection and strength display
• Includes alert conditions:
• Bull PO confirmed
• Bear PO confirmed
• Bull PO breakdown
• Bear PO breakdown
• Clean white background for better visibility
📈 What is a Perfect Order?
• Bull PO (Uptrend): EMA10 > EMA20 > EMA40 > EMA80
• Bear PO (Downtrend): EMA10 < EMA20 < EMA40 < EMA80
Alerts are triggered both when the PO is newly confirmed and when it breaks.
🧠 Use Cases
• Measure trend momentum using PO strength
• Confirm alignment with higher timeframe trends
• Use as a trend‑following filter
• Detect early signs of trend reversal using PO breakdown
• Improve accuracy by combining MTF and PO logic
Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution
Introduction: The Death of Static Analysis
The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicators—using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing.
The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart.
By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guess—it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent.
This is Survival of the Fittest applied to technical analysis.
1. The Core Engine: Gradient Boosting & Adaptive Learning
At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models.
How the GBM Works:
Ensemble Prediction: The system aggregates signals from 13 different mathematical models.
Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual).
Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility.
Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence.
Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0.
The "Winner-Takes-All" Philosophy
A common failure in ensemble systems is "Signal Dilution"—where good signals are drowned out by bad ones.
The MCPS solves this with Aggressive Weight Concentration:
Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy.
The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers.
Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners.
2. The 13 Algorithmic Pillars
The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages.
Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise.
Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly.
Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness.
Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles.
Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns.
Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points.
MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period.
Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave.
Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action.
Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity.
Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified).
Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously.
Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles.
3. The Dashboard: Total Transparency
Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen.
The Weight & Accuracy Table (Bottom Right)
This is your "Under the Hood" view. It displays:
Algorithm: The name of the model.
Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%).
Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones.
Prob/Sig: The raw probability and directional signal (Up/Down).
The GBM Stats Table (Bottom Left)
Tracks the health of the Machine Learning engine:
Iterations: How many learning cycles have occurred.
Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned.
Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models.
Confidence & Agreement: Statistical measures of the signal strength.
4. How to Trade with MCPS
This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color.
Strategy A: The Zero-Cross (Trend Reversal)
Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation.
Bearish: When the Cycle Line crosses below 0.
Strategy B: Probability Extremes (Mean Reversion)
Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom.
Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down.
Strategy C: Regime Filtering
The background color changes based on the aggregate consensus:
Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals.
Red/Orange: Bearish Regime. Look primarily for Short entries.
Gray: Neutral/Choppy. Reduce position size or wait.
5. Configuration & GBM Settings
The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters.
Prediction Horizon: How many days into the future are we trying to predict? (Default: 3).
Accuracy Lookback: How far back does the model check to calculate "Accuracy"?
GBM Learning Rate: Controls how fast the model adapts.
High (0.2+): Adapts instantly to new market conditions but may be "jumpy."
Low (0.05): Very stable, long-term adaptation.
Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome.
Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%).
6. Technical Nuances (For the Geeks)
Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust.
Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise.
Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market).
Disclaimer:
This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management.
The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals.
Author's Note:
I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to choose—the math chooses for you.
Please leave a boost and a comment if you find this helpful!
Ultimate Futures Daytrade Suite v1 - The Strategy GuideHere is the complete **Strategy Guide** translated into English.
---
# 📘 Ultimate Futures Daytrade Suite – The Strategy Guide
### 1. The Visual Legend (What is what?)
Before you trade, you need to understand the hierarchy of your lines. Not every line has the same importance.
* **🟣 Daily EMA 50 (Neon Violet):** The **"Big Boss"**. It determines the **Macro Trend**.
* *Price above:* We are primarily looking for Longs.
* *Price below:* We are primarily looking for Shorts.
* **🟢 4h EMA 50 (Neon Green):** The **"Swing Trend"**. Your most important level for **Pullback Entries** (Re-entries).
* **🟡 POC (Gold) & TPO:** The **"Magnet"**. Price often returns here.
* *Rule:* Never open a trade directly *on* the POC (Risk of "Chop"). Use it as a **Target** (Take Profit).
* **🟠 IB High/Low (Orange Lines):** The **"Daily Structure"**.
* A breakout from the IB (Initial Balance) often indicates the trend direction for the day.
* **🟥/🟩 Boxes (Supply/Demand):** Resistance and Support zones from the 1h timeframe.
* **⬜ FVG Boxes:** "Gaps" in the market that are often filled.
---
### 2. The Trading Workflow (Top-Down Method)
Go through this mental checklist before every trade:
#### Step 1: Trend Check (The Traffic Light)
Look at the **Violet Line (Daily)** and the **Green Line (4h)**.
* **Bullish:** Price is above Violet AND above Green. -> *Focus: Buy dips.*
* **Bearish:** Price is below Violet AND below Green. -> *Focus: Sell rallies.*
* **Mixed:** Price is between Violet and Green. -> *Caution! Market is undecided (Range Trading).*
#### Step 2: Location (The Context)
Where is the price currently located?
* Are we at a **Green Demand Zone**?
* Are we testing the **4h EMA 50 (Green)** from above?
* Are we at the **VWAP**?
* *Never trade in "No Man's Land"!* Wait until the price touches one of your lines.
#### Step 3: Trigger (The Execution)
Now zoom into your lower timeframe (e.g., 5min or 15min).
* Wait for a reaction at the zone.
* Use the **EMA 9 (Yellow)** as a momentum trigger. If price breaks the EMA 9 and closes above/below it, that is your "Go".
---
### 3. The Setup Blueprints
Here are the two most profitable scenarios you can trade with this script:
#### A) The "Golden Trend" Setup (Long)
* **Context:** Price > **Daily EMA (Violet)**.
* **Preparation:** Price corrects (drops) back to the **4h EMA 50 (Green)** or to the **VWAP**.
* **Confluence:** Ideally, there is also a **Demand Zone (Green Box)** or an **FVG** at that level.
* **Entry:** As soon as a candle touches the zone and closes bullish again (or reclaims the EMA 9).
* **Stop-Loss:** Below the 4h EMA 50.
* **Take-Profit:** Next **Supply Zone (Red)** or the **IB High (Orange)**.
#### B) The "Daytrade Breakout" (Intraday)
* **Context:** Price opens inside yesterday's Value Area.
* **Signal:** Price breaks through the **IB High (Orange)** with momentum.
* **Filter:** Price must be above the **VWAP**.
* **Entry:** On the retest of the IB High or directly on the breakout.
* **Target:** Price often trends in that direction for the rest of the day.
---
### 4. Warning Signals (When NOT to trade)
1. **The "Concrete Ceiling":** If you want to go Long, but the **Violet Daily EMA 50** is running directly above you. This is massive resistance. Better wait until it is broken.
2. **The "POC Dance":** If price is dancing sideways around the **Gold Line (POC)**. This is a "No-Trade Zone". Day traders lose the most money here due to fees and whipsaws.
3. **Overextension:** If price is extremely far away from the **4h EMA 50 (Green)** (Rubber Band Effect). Do not enter in the trend direction here; wait for a pullback to the line.
### Summary
Your chart is now telling you a story:
* **Violet** tells you the Direction.
* **Green** gives you the Entry.
* **Red/Green Boxes** show you the Obstacles.
* **Yellow (EMA 9)** gives you the Timing.
Good luck with the Suite! This is a setup similar to what institutional traders use.
MTF 4MA Direction Dashboard and TF AlignmentThe MTF 4MA Direction Dashboard is a multi-timeframe trend-alignment tool designed to answer one core trading question:
Are higher and lower timeframes pointing in the same direction — and how strong is that alignment?
Instead of relying on a single chart timeframe, this indicator evaluates directional consistency across five timeframes simultaneously using a fast 4-period moving average. The result is a weighted directional score, expressed as Bull/Bear percentages and summarized with a clear letter grade and interpretation.
This makes the indicator ideal as a trend filter, bias confirmation tool, or higher-timeframe context engine for discretionary and systematic traders alike.
How It Works
For each selected timeframe (default: 1H, 4H, 1D, 1W, 1M):
A 4-period moving average is calculated (user-selectable MA type).
The indicator determines direction by comparing the current MA value to the prior bar:
Rising MA → Bullish
Falling MA → Bearish
Each timeframe contributes to a weighted score, allowing higher timeframes to carry more influence if desired.
The combined result is converted into:
Bull %
Bear %
Letter Grade (A–F)
Plain-English interpretation
All results are displayed in a compact, customizable on-chart dashboard.
Dashboard Metrics Explained
Aligned TFs
Shows how many timeframes are bullish vs bearish.
Bull % / Bear %
Weighted directional confidence across all timeframes.
Grade (A–F)
A structured summary of alignment strength:
A → Strong bullish alignment
B → Constructive bullish bias
C → Transitional / mixed conditions
D → Weak structure
F → Bearish or poorly aligned
Grade Condition & Interpretation
Explicit thresholds and a clear contextual reading of current market structure.
How to Use This Indicator
This is not an entry signal by itself.
It is best used as a context and confirmation tool.
Common use cases include:
✅ Trend Filtering
Only take long trades when Bull % is elevated (e.g., Grade A or B).
✅ Multi-Timeframe Confirmation
Confirm that lower-timeframe setups agree with higher-timeframe structure.
✅ Bias Control
Reduce over-trading during mixed or transitional conditions (Grade C/D).
✅ Risk Management Context
Scale position size or aggressiveness based on alignment strength.
Ideal Trading Conditions
This indicator performs best in:
Trending or structurally developing markets
Swing trading and position trading
Higher-timeframe-aware intraday strategies
Markets where directional follow-through matters more than noise
During highly choppy or mean-reverting conditions, grades will naturally compress toward the middle — providing a visual cue to reduce directional exposure.
Customization & Controls
Select MA type (SMA, EMA, RMA, WMA)
Adjust timeframe importance via custom weights
Fully customizable table colors and position
Toggle dashboard visibility on/off
This flexibility allows the indicator to be adapted to different assets, trading styles, and risk preferences.
Final Notes
The MTF 4MA Direction Dashboard is designed to bring clarity to multi-timeframe analysis by transforming raw directional data into a structured, readable decision framework.
Use it to align trades with structure, avoid fighting dominant trends, and maintain consistency across timeframes.
4 EMA Perfect Order + Strength + MTFリリースノート
🇯🇵 日本語説明文
📌 スクリプト概要
このスクリプトは、EMA10・20・40・80 を使用して「パーフェクトオーダー（PO）」を判定し、
PO が確定したタイミングで矢印とアラートを表示します。
さらに、PO の強さ（短期と長期 EMA の乖離率）を数値化して表示し、
上位足（MTF）でも同様の判定と強さ表示が可能です。
🔧 機能一覧
• EMA10/20/40/80 のライン表示（黒・赤・オレンジ・青）
• パーフェクトオーダー（Bull/Bear）の自動判定
• PO 確定時に矢印（▲/▼）を表示
• PO の強さ（乖離率）をリアルタイム表示
• 上位足（MTF）での PO 判定と強さ表示
• アラート条件付き（Bull/Bear PO 確定時）
• 背景は白で視認性を重視
📈 パーフェクトオーダーとは？
• Bull PO（上昇トレンド）
EMA10 > EMA20 > EMA40 > EMA80
• Bear PO（下降トレンド）
EMA10 < EMA20 < EMA40 < EMA80
PO が確定したバーで矢印とアラートが発生します。
🧠 活用例
• PO の強さを使ってトレンドの勢いを測定
• 上位足の PO と一致しているか確認して精度を向上
• トレンドフォロー戦略のフィルターとして利用
• EMA の並びが崩れたら背景色を塗るなどの拡張も可能
🇺🇸 English Description
📌 Overview
This script detects “Perfect Order” (PO) conditions using EMA10, EMA20, EMA40, and EMA80.
When a PO is confirmed, it displays arrows and triggers alerts.
It also calculates the strength of the PO (based on EMA divergence) and supports multi‑timeframe (MTF) analysis.
🔧 Features
• Displays EMA10/20/40/80 with color coding (black, red, orange, blue)
• Detects Bull and Bear Perfect Order conditions
• Shows arrows (▲/▼) when PO is confirmed
• Displays PO strength as a percentage (EMA10 vs EMA80 divergence)
• Supports MTF PO detection and strength display
• Includes alert conditions for Bull/Bear PO confirmation
• Clean white background for better visibility
📈 What is a Perfect Order?
• Bull PO (Uptrend): EMA10 > EMA20 > EMA40 > EMA80
• Bear PO (Downtrend): EMA10 < EMA20 < EMA40 < EMA80
Arrows and alerts are triggered only when the PO condition is newly confirmed.
🧠 Use Cases
• Measure trend momentum using PO strength
• Confirm alignment with higher timeframe trends
• Use as a trend‑following filter
• Can be extended with background coloring or histogram strength display
GK1 Long only Daily Trend Strategy Max 4 Positions Risk-BasedThis strategy buys strong uptrends on the daily chart, risks a fixed % of capital per trade, limits how many trades are open at once, and exits using a trailing volatility stop or when the trend weakens.
What kind of market does this work best in?
1.Strong, persistent trends
2.Index ETFs, sector ETFs, large-cap stocks
3.Bull markets or strong sector rotations
It will underperform in:
Sideways markets
Choppy ranges
High-frequency reversals
The market condition this is looking for " A healthy, established uptrend"
It only goes LONG (no shorts) and only when all of these are true:
Short-term trend is up:
14-day moving average > 50-day moving average
Long-term trend is bullish:
Price is above the 200-day moving average
Primary trend is improving:
200-day MA is rising (today > yesterday)
Volume is normal (not dead, not crazy):
Avoids illiquid days and blow-off spikes
Translation: “I only buy when the market is already strong and behaving normally.”
It can hold up to 4 positions at the same time
Designed for multiple signals across time, not over-trading
You choose a Risk % per trade (default = 1%)
That means: If the stop loss is hit, you lose ~1% of your total account
It uses ATR (Average True Range):
ATR measures how much the market normally moves
Stop loss = 2.5 × ATR
Position size =
(1% of account) ÷ stop distance
So:
Volatile market → smaller position
Calm market → bigger position
Exit #1: Trailing ATR stop (main exit)
Tracks the highest close since entry
Stop moves up only, never down
If price reverses by ~2.5 ATR → exit
📌 Translation:
“Let winners run, cut losers automatically.”
Exit #1: Trailing ATR stop (main exit)
Tracks the highest close since entry
Stop moves up only, never down
If price reverses by ~2.5 ATR → exit
📌 Translation:
“Let winners run, cut losers automatically.”
RSI Divergence Pro Price Overlay High-Prob v6RSI Divergence Pro — Comprehensive Usage Guide
1) What This Indicator Does (in plain English)
Goal: Detect high-probability reversal (and optionally continuation) points using RSI divergences, then draw clean visual lines on price (red/bearish, green/bullish) and attach a % Strength label to help you quickly decide if it’s worth trading.
Core logic:
• Finds confirmed peaks and valleys using ta.pivothigh and ta.pivotlow.
• Bearish: Price makes Higher High while RSI makes Lower High.
• Bullish: Price makes Lower Low while RSI makes Higher Low.
• Filters for high probability: RSI near OB/OS, min RSI diff, ATR scaling, pivot spacing.
• Draws lines on price chart and attaches % Strength label.
• Alerts trigger only when a new divergence line is drawn.
2) Inputs & What Each One Means
• RSI Period: Shorter = more reactive; longer = smoother.
• Pivot Left/Right: Controls peak/valley confirmation.
• RSI Overbought/Oversold: Default 60/40; tighten for lower TFs.
• Min RSI Divergence: Minimum difference between RSI pivots.
• ATR Length & Min Price Move vs ATR: Ensures structural change.
• Bars Between Pivots: Avoid micro noise and stale signals.
• Hidden Divergence toggle: OFF for reversal; ON for continuation.
3) The % Strength Label — What It Represents
Combines RSI divergence magnitude (60%), Price move vs ATR (30%), OB/OS proximity (10%).
Interpretation:
• 80–100%: A-grade signals.
• 60–79%: Good, tradable with confirmation.
• 40–59%: Caution.
• <40%: Usually skip.
4) High-Probability Trading Workflow (H1)
1. Step 1: Scan & identify the signal.
2. Step 2: Confirm with price action (structure break or engulfing).
3. Step 3: Entry (conservative or aggressive).
4. Step 4: Stop placement (pivot ±0.5×ATR).
5. Step 5: Take profit & management (TP1 1×ATR, TP2 2×ATR, trail).
5) Confluence & Filters
• EMA slope confirmation.
• Structure alignment with S/R zones.
• Volatility regime check.
6) Example Scenarios
• A) Bearish Classic Divergence: HH price + LH RSI, Strength 83%.
• B) Bullish Classic Divergence: LL price + HL RSI, Strength 68%.
• C) Hidden Bullish Divergence: HL price + LL RSI, Strength 75%.
7) Common Pitfalls & How to Avoid Them
• Forcing signals in dead volatility.
• Taking divergences in strong trends without confirmation.
• Ignoring pivot spacing.
8) Tuning for Your Style
• H1 defaults: RSI 10, pivots 5/5, thresholds 60/40.
• M15/M5: thresholds 65/35, min RSI diff 10–12.
• H4/D1: thresholds 58/42, ATR multiple 0.4–0.6.
9) Multi-Asset Notes
• FX majors: overlap session ideal.
• Indices: require engulfing confirmation.
• Crypto: use ATR multiple ≥0.7.
10) Alerts — How to Use Them
• Set alerts Once per bar close.
• Alert names: Bearish RSI Divergence, Bullish RSI Divergence.
11) Backtesting & Forward Testing
• Define rules: entry, stop, TP.
• Track Strength % bins.
12) Troubleshooting & Diagnostics
• No lines? Loosen thresholds.
• Too many lines? Tighten thresholds.
13) Quick Operator’s Checklist
• Signal present?
• Location near S/R?
• Confirmation present?
14) Future Upgrade Options
• Session filter (London–NY overlap).
• EMA slope confirmation.
• Structure-break confirmation.
• Alert text enhancements.
Daily Floor PivotsDaily Floor Pivots with Comprehensive Statistical Analysis
Overview
This indicator combines traditional floor pivot levels with golden zone analysis and comprehensive statistical insights derived from 15 years of historical NQ futures data. While the pivot levels and golden zones can be applied to any instrument, the statistical tables are specifically calibrated for NQ/MNQ futures based on analysis of 2,482 NY Regular Trading Hours (RTH) sessions from 2010-2025.
What Makes This Indicator Original
Unlike standard pivot indicators that merely plot levels, this tool provides:
Enhanced Golden Zone Analysis: Calculates not only the main golden zone (0.5-0.618 retracement of previous day's range) but also golden zones between each pivot pair (PP-R1, R1-R2, R2-R3, PP-S1, S1-S2, S2-S3)
Data-Driven Statistical Tables: Two comprehensive tables displaying real statistics from 2,482 trading days of NQ analysis, including:
Probability-based touch rates and continuation patterns
Context-aware statistics based on opening position
Gap analysis and behavioral patterns
First touch dynamics and time-to-reach averages
Granular Customization: Every visual element and statistical section can be independently toggled, allowing traders to focus on what matters most to their strategy
How It Works
Pivot Calculation Methodology
The indicator uses the standard floor pivot formula based on the previous day's price action:
Pivot Point (PP) = (Previous High + Previous Low + Previous Close) / 3
Resistance Levels: R1, R2, R3 calculated from PP and previous range
Support Levels: S1, S2, S3 calculated from PP and previous range
Golden Zone Calculations
Main Golden Zone: The 0.5 to 0.618 Fibonacci retracement of the previous day's range, representing a key reversal and continuation area.
Inter-Pivot Golden Zones: For each adjacent pivot pair, golden zones are calculated as:
Resistance pairs (PP→R1, R1→R2, R2→R3): 0.5-0.618 range from the lower pivot
Support pairs (PP→S1, S1→S2, S2→S3): 0.382-0.5 range from the upper pivot
These zones represent high-probability areas where price tends to react when moving between pivot levels.
Statistical Analysis Source
All statistics displayed in the tables are derived from external Python analysis of 15 years of 1-minute NQ futures data (2010-2025), specifically analyzing NY RTH sessions (9:30 AM - 4:00 PM EST). The analysis tracked:
2,482 complete trading days
Intraday pivot touches and closes
Opening position context
Gap behavior relative to previous day
Time-of-day patterns
Sequential pivot interactions
IMPORTANT: While the pivot levels and golden zones are universally applicable mathematical calculations that work on any instrument, the statistical percentages shown in the tables are specific to NQ/MNQ behavior only. Do not assume these statistics transfer to other instruments.
Configuration Guide
Basic Settings
Number of Periods Back (1-20, default: 3)
Controls how many historical pivot periods are displayed on the chart
Setting to 1 shows only current day's pivots
Higher values show more historical context
Labels Position (Left/Right)
Choose whether pivot labels appear on the left or right side of each level line
Line Width (1-5, default: 2)
Adjust the thickness of all pivot and golden zone lines
Golden Zone Customization
Show Daily Golden Zone (0.5-0.618)
Toggle the main golden zone on/off
When enabled, displays a shaded box between the 0.5 and 0.618 retracement levels
Line Color / Fill Color
Customize the appearance of the main golden zone
Fill color determines the shaded box transparency
Show Labels / Show Prices
Control whether "0.5" and "0.618" labels appear
Control whether price values are displayed on labels
Inter-Pivot Golden Zones
Six toggle options allow you to show/hide individual golden zones:
PP to R1 / PP to S1: Most frequently touched (60.8% / 50.9%)
R1 to R2 / S1 to S2: Moderately touched (25.2% / 24.0%)
R2 to R3 / S2 to S3: Rarely touched (9.4% / 10.5%)
Line Color / Fill Color: Customize appearance of all inter-pivot zones
Show Labels / Show Prices: Control labeling for inter-pivot zones
Usage Tip: Disable outer zones (R2-R3, S2-S3) on lower volatility days to reduce chart clutter.
Pivot Display
Show Support/Resistance Levels: Master toggle for all pivot lines
Show SR Labels / Show SR Prices: Control labeling on pivot levels
Individual level toggles and colors:
PP (Pivot Point): The central reference point
R1/S1: Primary resistance/support (38.9% / 35.4% touch rate)
R2/S2: Secondary levels (15.6% / 16.1% touch rate)
R3/S3: Extended levels (5.1% / 7.3% touch rate)
Color Customization: Each level's color can be independently set
Overall Statistics Table
Show Overall Statistics Table: Master toggle
Table Size: tiny/small/normal/large/huge/auto
Table Position: Top Left/Top Right/Bottom Left/Bottom Right
Section Toggles (enable/disable individual sections):
Current Session Info
Touch & Close Rates
Continue & Reject Rates
First Touch Statistics
Golden Zone Statistics
Daily Close Distribution
Highest/Lowest Levels Reached
Context Statistics Table
Show Context Statistics Table: Master toggle
Table Size: tiny/small/normal/large/huge/auto
Table Position: Top Left/Top Right/Bottom Left/Bottom Right
Section Toggles:
Current Opening Zone
Opening Zone Statistics
Previous Day Gap Context
Understanding the Statistical Tables
TABLE 1: OVERALL STATISTICS
This table presents universal statistics from 2,482 days of NQ analysis.
Current Session Info
Displays real-time context for the active session:
Open: Where the current RTH session opened relative to pivots (e.g., "GZ_TO_R1" means opened between the PP-R1 golden zone and R1)
Now: Current price position relative to pivots
Direction: Bull (close > open), Bear (close < open), or Flat
How to use: This section helps you quickly understand where price opened and where it currently is, providing immediate context for the day's action.
Touch & Close Rates
Shows probability that each pivot level will be reached during RTH:
Touch %: Percentage of days where price touched this level at any point
Example: R1 touched 38.9% of days, PP touched 57.5% of days
Close %: Percentage of days where price closed beyond this level
Example: R1 close beyond happened 39.8% of days
How to interpret:
Higher touch rates indicate more reliable levels for intraday targeting
The difference between touch and close rates shows rejection frequency
PP has the highest touch rate (57.5%), making it the most magnetic level
Outer levels (R3/S3) have low touch rates (5.1%/7.3%), indicating rare extension days
Continue & Reject Rates
When a level is touched, these statistics show what happens next:
Continue %: Probability price continues through the level
Example: When PP is touched, price continues 88.1% of the time
Reject %: Probability price rejects from the level and reverses
Example: When R1 is touched, price rejects 50.9% of the time
How to interpret:
PP shows highest continuation (88.1%), confirming it's a poor reversal level
Support levels (S1/S2/S3) show strong rejection rates (62.5%/60.7%/56.1%), making them better reversal candidates
Continuation rates above 80% suggest the level is better as a target than an entry
First Touch Statistics
Analyzes which pivot is typically touched first during RTH:
1st Touch %: Probability this level is the first pivot encountered
PP is first touched 37.1% of days (most common)
R1 is first touched 26.0% of days
S1 is first touched 10.9% of days
1st→Continue: If this level is touched first, probability of continuation
S1-S3 show 95.6%-100% continuation when touched first
This means when price reaches support first, it usually continues lower
Avg Time: Minutes after 9:30 AM EST before first touch
PP: 1h 6m average
S3: 19m average (when bearish)
R3: 3h 19m average (when bullish)
How to interpret:
Opening away from PP means higher probability of reaching extremes (R2/R3 or S2/S3)
When support is touched first (within first 2 hours), expect continuation lower
Late-day first touches (after 2 PM) often indicate strong trending days
Multi-Touch: Shows how often levels are tested multiple times (92.8%-95.0% across all levels)
Golden Zone Statistics
Main GZ: 58.5% touch rate for the 0.5-0.618 zone
Inter-Pivot zones:
PP-R1: 60.8% (highest probability)
PP-S1: 50.9%
R1-R2: 25.2%
S1-S2: 24.0%
R2-R3: 9.4%
S2-S3: 10.5%
How to interpret:
Main GZ is touched more often than any individual resistance level
PP-R1 and PP-S1 golden zones are high-probability mean reversion areas
Outer golden zones (R2-R3, S2-S3) are only relevant on high volatility days
Daily Close Distribution
Shows where RTH sessions typically close:
Above/Below PP: 58.5% close above, 41.5% below (slight bullish bias)
Above R1: 24.5% of days
Below S1: 18.7% of days
In GZ: Only 6.3% close in the golden zone (typically transits through it)
How to interpret:
Most days (58.5%) have bullish bias (close above PP)
Less than 25% of days are strong trending days (beyond R1/S1)
Golden zone is an action area, not a resting area
Highest/Lowest Levels Reached
Distribution of the most extreme level reached:
High Resist: R1 (26.0%), R2 (10.8%), R3 (5.1%)
Low Support: S1 (35.4%), S2 (1.9%), S3 (0.6%)
How to interpret:
Most days don't reach beyond R1 or S1
R3/S3 are rare events (5.1%/0.6%), indicating major trending days
S1 is reached as lowest level more often than R1 as highest, suggesting downside is more frequently tested
TABLE 2: CONTEXT STATISTICS
This table provides conditional statistics based on how the session opened.
Current Opening Zone
Displays which of 13 possible zones the RTH session opened in:
ABOVE_R3, R2_TO_R3, R1_TO_R2, GZ_TO_R1, IN_GZ, PP_TO_GZ, AT_PP, GZ_TO_PP, S1_TO_GZ, S2_TO_S1, S3_TO_S2, BELOW_S3
How to use: This immediately tells you the market structure and what type of day to expect.
Opening Zone Statistics
Detailed statistics for the current opening zone (only shows for 6 major zones):
For each zone, you see:
Occurs: How often this opening scenario happens
GZ_TO_R1: 38.4% (most common)
AT_PP: 12.8%
S1_TO_GZ: 24.2%
R1_TO_R2: 9.4%
S2_TO_S1: 6.3%
IN_GZ: 3.8%
Bull/Bear %: Close direction probability
Example: GZ_TO_R1 is perfectly balanced (50.0% bull / 49.6% bear)
R1_TO_R2 is bullish (58.1% bull / 41.0% bear)
Levels Hit: Probability of reaching each pivot level from this opening
Helps identify high-probability targets
Example: From GZ_TO_R1, PP is hit 52.9%, R1 is hit 49.0%, S1 is hit 21.6%
How to interpret:
GZ_TO_R1 (most common): Balanced day, watch PP and GZ for direction clues
AT_PP: Slight bullish bias (56.9%), high chance of touching both PP (92.8%) and GZ (90.3%)
R1_TO_R2: Bullish bias (58.1%), expect continuation to R2 (58.1% chance)
S2_TO_S1: Bullish reversal setup (59.9%), very high chance of S1 touch (82.8%)
IN_GZ: Rare opening (3.8%), bullish bias, virtually guaranteed GZ touch (100%)
Previous Day Gap Context
Shows current gap scenario and typical behavior:
Three scenarios:
GAP UP: Opened Above Yesterday's High (20.5% of days)
R1 Touch: 65.9% (high probability)
R2 Touch: 42.1%
S1 Touch: 15.0% (low probability)
Bias: Bullish continuation
GAP DOWN: Opened Below Yesterday's Low (11.3% of days)
S1 Touch: 71.5% (high probability)
S2 Touch: 55.2%
R1 Touch: 12.1% (low probability)
Bias: Bearish continuation
NO GAP: Opened Within Yesterday's Range (68.2% of days)
PP Touch: 69.5%
GZ Touch: 71.7%
R1 Touch: 35.2%
Bias: Balanced (watch for direction at PP/GZ)
How to interpret:
Gap days (up or down) tend to continue in the gap direction
When gapping, fade trades are low probability (15.0% and 12.1%)
Most days (68.2%) open within previous range, making PP and GZ critical decision zones
The "bias" line provides clear directional guidance for trade selection
Practical Application Examples
Example 1: Standard Day Setup
Scenario: RTH opens at 20,450
PP: 20,400
GZ: 20,390-20,395
R1: 20,425
Previous day high: 20,460
What the tables tell you:
Opening Zone: "GZ_TO_R1" (38.4% occurrence)
Gap Context: "NO GAP" (68.2% occurrence)
Expected behavior: Balanced (50/50 bull/bear)
High probability: PP touch (52.9%), GZ touch (56.8%)
Moderate probability: R1 touch (49.0%), S1 touch (21.6%)
Trade plan:
Wait for price to reach PP (52.9% chance) or GZ (56.8% chance)
Look for directional confirmation at these levels
First target R1 if bullish, S1 if bearish
Avoid assuming direction without confirmation (perfectly balanced opening)
Example 2: Gap Up Day
Scenario: RTH opens at 20,510
Previous day high: 20,460
R1: 20,425
R2: 20,475
What the tables tell you:
Gap Context: "GAP UP" (20.5% occurrence)
R1 touch: 65.9% probability
R2 touch: 42.1% probability
S1 touch: Only 15.0% probability
Bias: Bullish continuation
Trade plan:
Favor long setups
Target R1 first (65.9% chance), then R2 (42.1%)
If R1 breaks, R2 becomes likely target
Shorting is low probability (only 15.0% reach S1)
Example 3: Opening in Golden Zone
Scenario: RTH opens at 20,393
PP: 20,400
GZ: 20,390-20,395
What the tables tell you:
Opening Zone: "IN_GZ" (rare, only 3.8% occurrence)
Bullish bias: 58.1%
GZ touch: 100% (guaranteed - already there)
PP touch: 75.3%
R1 touch: 41.9%
Trade plan:
Expect price to test PP (75.3% chance)
Slight bullish bias suggests long setups better than shorts
Watch how price reacts at PP - likely to continue to R1 (41.9%)
This is an uncommon opening, suggesting potential for larger moves
Best Practices
Match Your Instrument: Remember, statistics are NQ-specific. If trading other instruments, use the levels but disregard the statistical percentages.
Combine with Price Action: Use the statistics for probability context, not as standalone signals. Always confirm with price action, volume, and your trading methodology.
Adapt Table Display: Don't display all sections all the time. Toggle based on your trading phase:
Pre-market: Focus on "Gap Context" to understand the setup
Market open: Watch "Opening Zone Statistics" for directional bias
Intraday: Monitor "Current Session Info" for position tracking
Understand Context: A 60% touch rate doesn't mean guaranteed—it means 40% of days don't touch. Use these probabilities to size positions and manage expectations.
Inter-Pivot Golden Zones: These are most useful when price is already in motion toward a level. For example, if price breaks above PP heading to R1, the PP-R1 golden zone (60.8% touch rate) becomes a high-probability pullback area.
Time Awareness: The "Avg Time" statistics help you understand urgency. If it's 10:30 AM and S1 hasn't been touched (average is 55 minutes), the window for bearish moves is closing.
Technical Notes
Time Zone: All times referenced are NY/EST
Session Definition: RTH is 9:30 AM - 4:00 PM EST
Calculation Period: Pivots update daily based on previous 24-hour period (18:00 previous day to 17:00 current day)
Data Source: Statistics derived from 12 years of NQ 1-minute futures data (2013-2025)
Sample Size: 2,482 complete RTH trading sessions
Disclaimer
This indicator provides statistical probabilities based on historical NQ futures data. Past performance does not guarantee future results. The statistical tables are educational tools and should not be the sole basis for trading decisions. Always:
Use proper risk management
Combine with your own analysis
Understand that probabilities are not certainties
Remember that statistics are instrument-specific (NQ/MNQ only)
Credits
Statistical analysis performed using Python analysis of 12 years of historical NQ futures data. All pivot and golden zone calculations use standard mathematical formulas applicable to any instrument.
Enterprise Adaptive RSI WeightDescription (TradingView)
Enterprise Adaptive RSI Weight is a clean, decision-support oscillator for XAUUSD & EURUSD (5m/15m).
It converts RSI into a normalized Weight (W) and smooths it with a Hull Moving Average (yellow) to highlight trend bias + momentum shifts.
What to watch
W (main line) = bias & momentum (above 0 = bullish, below 0 = bearish)
Yellow line (HMA) = signal filter
CROSS (W ↔ HMA) = key confirmation point
CROSS ↑ = bullish momentum confirmation
CROSS ↓ = bearish momentum confirmation
Built-in safety filters (enterprise-style)
Signals are filtered by:
Quality/Gate (model confidence)
Dead Zone (avoids weak/noise signals)
Optional HTF alignment (trade only when higher timeframe agrees)
Visual markers
L / S = entry triggers (valid cross + filters)
XL / XS = momentum exit warnings
0↑ / 0↓ = bias flip (crossing the 0 line)
REV = exit from extreme zones (OB/OS reversal hint)
STR = strong trend condition
How to use (simple workflow)
Check STATE in the panel: trade only BULL or BEAR
Enter on CROSS in the same direction
Manage/exit on XL/XS or loss of momentum
Tip: Best used as a confirmation tool, not as a standalone strategy.
TurboRSI Pro [JOAT]TurboRSI Pro - Multi-Length RSI Ensemble with Dynamic Momentum Analysis
Introduction
TurboRSI Pro is an open-source indicator that reimagines the classic RSI by calculating multiple RSI lengths simultaneously and combining them into a single, more reliable momentum reading. Instead of relying on a single RSI period that may lag or produce false signals, this indicator creates an ensemble of RSI values across a configurable range, providing a smoother and more robust momentum assessment.
The indicator is designed for traders who want deeper insight into momentum conditions without the noise that comes from single-period oscillators.
Originality and Purpose
This indicator is NOT a simple RSI with different settings. It is an original implementation that solves a fundamental problem with traditional RSI:
The Problem with Single-Period RSI: Traditional RSI uses a single lookback period (typically 14). The issue is that different market conditions favor different RSI lengths. A 14-period RSI might work well in one market phase but produce false signals in another. There's no "perfect" RSI length that works in all conditions.
The Multi-Length Solution: TurboRSI Pro calculates RSI across a range of lengths (default: 10 to 20) simultaneously, then averages all values to create a composite reading. This ensemble approach filters out period-specific noise while preserving genuine momentum shifts. When multiple RSI lengths agree, the signal is more reliable.
OB/OS Strength Percentage: The indicator tracks how many individual RSI lengths are in overbought or oversold territory. When 100% of lengths are overbought, it's a much stronger signal than when only 50% are. This percentage-based approach is original to this indicator and provides conviction assessment.
Candle Heatmap Innovation: An optional feature colors price bars based on deviation from a 200-bar linear regression line. This shows when price is statistically overextended (HOT/COLD) independent of RSI, providing another layer of analysis.
How the components work together:
Multi-length RSI ensemble provides a more robust momentum reading than single-period RSI
OB/OS Strength percentages quantify how many timeframes agree on the momentum condition
Dynamic channels expand/contract based on momentum strength across all calculated lengths
Candle heatmap adds statistical price deviation context independent of RSI
Core Concept: Multi-Length RSI Ensemble
Traditional RSI uses a single lookback period (typically 14). The problem is that different market conditions favor different RSI lengths. TurboRSI Pro solves this by:
Calculating RSI across a range of lengths (default: 10 to 20)
Averaging all RSI values to create a composite reading
Tracking how many individual RSI lengths are in overbought or oversold territory
Displaying this information as "OB Strength" and "OS Strength" percentages
This approach filters out noise while preserving genuine momentum shifts.
How the Multi-Length RSI Works
The calculation uses an efficient array-based approach:
int N = maxLength - minLength + 1
float diff = nz(srcInput - srcInput )
for i = 0 to N - 1
int len = minLength + i
float alpha = 1.0 / len
float numRma = alpha * diff + (1 - alpha) * array.get(numArr, i)
float denRma = alpha * math.abs(diff) + (1 - alpha) * array.get(denArr, i)
float rsiVal = denRma != 0 ? 50 * numRma / denRma + 50 : 50
avgRSI += rsiVal
Each RSI length is calculated using the RMA (Running Moving Average) formula, then all values are averaged. The result is a composite RSI that responds to momentum changes while filtering out period-specific noise.
Visual Components
1. Multi-Length RSI Line
The main oscillator line displays the averaged RSI value with a gradient color:
Green gradient when RSI is above 50 (bullish momentum)
Red gradient when RSI is below 50 (bearish momentum)
Color intensity increases as RSI approaches extreme levels
2. Dynamic Channels
Two adaptive channel lines track momentum extremes:
Upper Channel: Expands when multiple RSI lengths enter overbought territory
Lower Channel: Expands when multiple RSI lengths enter oversold territory
Channel width indicates momentum strength across all calculated lengths
3. Candle Heatmap
An optional feature that colors price bars based on deviation from a linear regression line:
Red/Orange bars: Price is significantly above the regression line (overextended to upside)
Blue bars: Price is significantly below the regression line (overextended to downside)
Yellow bars: Price is near the regression line (neutral)
The heatmap uses a 200-bar regression calculation to identify when price has deviated significantly from its statistical trend.
4. Reference Lines
Standard RSI reference levels are displayed:
80 and 20: Extreme overbought/oversold
70 and 30: Standard overbought/oversold thresholds
50: Neutral momentum line
5. Background Zones
Shaded areas indicate the percentage of RSI lengths in extreme territory:
Green shading from bottom: Percentage of lengths in overbought
Red shading from top: Percentage of lengths in oversold
Dashboard Panel
The dashboard displays real-time analysis in a 7-row table:
RSI Value: Current composite RSI reading (large text for visibility)
Momentum: Current state - OVERBOUGHT, OVERSOLD, BULLISH, BEARISH, or NEUTRAL
OB Strength: Percentage of RSI lengths currently above the overbought threshold
OS Strength: Percentage of RSI lengths currently below the oversold threshold
Heat Level: Current price deviation state - HOT, WARM, NEUTRAL, COOL, or COLD
Trend Bias: Overall trend assessment based on RSI level and channel direction
Optional Stochastic RSI
When enabled, an additional Stochastic RSI line is plotted. This applies the stochastic formula to the RSI itself, providing another layer of momentum analysis. The Stochastic RSI is more sensitive to short-term momentum shifts.
Input Parameters
RSI Settings:
Min RSI Length: Starting length for the RSI range (default: 10)
Max RSI Length: Ending length for the RSI range (default: 20)
Source: Price source for calculation (default: ohlc4)
Overbought: Upper threshold (default: 70)
Oversold: Lower threshold (default: 30)
Candle Heatmap:
Enable Heatmap: Toggle bar coloring on/off (default: enabled)
Regression Length: Lookback for linear regression calculation (default: 200)
Display:
Show Dashboard: Toggle the information panel (default: enabled)
Show Dynamic Channels: Toggle channel lines (default: enabled)
Show Stochastic RSI: Toggle additional Stoch RSI line (default: disabled)
Colors:
Bullish: Color for bullish conditions (default: teal)
Bearish: Color for bearish conditions (default: red)
Neutral: Color for neutral conditions (default: gray)
How to Use TurboRSI Pro
Identifying Momentum Shifts:
Watch for RSI crossing above 50 for bullish momentum confirmation
Watch for RSI crossing below 50 for bearish momentum confirmation
Use the gradient color to quickly assess momentum direction
Using OB/OS Strength:
When OB Strength reaches 100%, all RSI lengths are overbought - strong reversal potential
When OS Strength reaches 100%, all RSI lengths are oversold - strong bounce potential
Partial readings (e.g., 50%) indicate mixed conditions across timeframes
Heatmap Analysis:
HOT readings combined with high RSI suggest overextension - caution for longs
COLD readings combined with low RSI suggest oversold conditions - watch for reversal
Use heatmap divergence from RSI for additional confirmation
Channel Interpretation:
Expanding upper channel with rising RSI confirms strong bullish momentum
Expanding lower channel with falling RSI confirms strong bearish momentum
Channel contraction suggests momentum is weakening
Alert Conditions
Six alert conditions are available:
RSI Overbought: RSI crosses above overbought threshold
RSI Oversold: RSI crosses below oversold threshold
RSI Bullish Cross: RSI crosses above 50
RSI Bearish Cross: RSI crosses below 50
All RSI Overbought: Every RSI length is in overbought territory
All RSI Oversold: Every RSI length is in oversold territory
Best Practices
Use on higher timeframes (1H, 4H, Daily) for more reliable signals
Combine with price action analysis - RSI confirms, it does not predict
Pay attention to OB/OS Strength percentages for conviction assessment
The heatmap works best on assets with clear trending behavior
Adjust min/max RSI lengths based on your trading style - wider range for smoother signals
Limitations
Like all oscillators, can remain in overbought/oversold territory during strong trends
The heatmap regression may lag during rapid price movements
Multi-length calculation requires more processing than single RSI
Best suited for swing trading and position trading timeframes
Technical Notes
This indicator is written in Pine Script v6 and uses:
Array-based calculations for efficient multi-length RSI computation
Linear regression for heatmap deviation analysis
Gradient coloring for intuitive visual feedback
State management for dynamic channel calculations
The source code is open and available for review and modification.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
-Made with passion by officialjackofalltrades
Liquidity Trend Horizon [Pineify]Pineify - Liquidity Trend Horizon
The Liquidity Trend Horizon is a sophisticated trend-following indicator designed to identify potential liquidity sweep zones while providing clear visual trend direction. It combines adaptive volatility bands with smart liquidity detection to help traders spot high-probability reversal points where institutional activity may be occurring.
Key Features
Dynamic trend baseline using WMA and EMA smoothing
ATR-based volatility bands that adapt to market conditions
Automatic liquidity sweep detection with visual alerts
Gradient-filled channels for intuitive trend visualization
Real-time candle coloring based on trend direction
How It Works
The indicator calculates a weighted moving average (WMA) of the closing price, then applies exponential smoothing (EMA) to create a responsive yet stable baseline. This dual-smoothing approach filters out market noise while maintaining sensitivity to genuine trend changes.
Volatility bands are constructed using a 200-period Average True Range (ATR) multiplied by a user-defined factor. This creates dynamic support and resistance zones that automatically widen during volatile periods and contract during consolidation.
How Multiple Indicators Work Together
The synergy between WMA, EMA, and ATR creates a comprehensive trend analysis system:
The WMA provides the initial trend estimation with emphasis on recent price action
The EMA layer adds smoothness to reduce false signals
The ATR bands define probabilistic boundaries where price is likely to find support or resistance
Trading Ideas and Insights
Liquidity sweeps occur when price wicks beyond the volatility bands but closes back within the channel. These events often indicate:
Stop-loss hunting by larger market participants
False breakouts that may lead to reversals
Areas of accumulated liquidity being absorbed
A bullish sweep (wick below lower band, close above) suggests potential buying opportunity. A bearish sweep (wick above upper band, close below) may signal selling pressure.
Unique Aspects
Unlike traditional channel indicators, the Liquidity Trend Horizon specifically identifies sweep events where price temporarily breaks boundaries before reverting. This behavior is commonly associated with institutional order flow and smart money concepts.
How to Use
Observe the baseline color for overall trend direction (cyan for bullish, purple for bearish)
Watch for sweep markers (🚀 BULL / 📉 BEAR) at band extremes
Use background flashes as immediate alerts for sweep events
Consider entries when sweeps align with the prevailing trend direction
Customization
Trend Period - Adjust baseline sensitivity (default: 24)
Channel Width Multiplier - Control band distance from baseline (default: 2.0)
Smoothness - Fine-tune signal responsiveness (default: 5)
Color Settings - Personalize bullish/bearish colors and transparency
Conclusion
The Liquidity Trend Horizon bridges technical analysis with liquidity concepts, offering traders a unique perspective on market structure. By highlighting potential sweep zones within an adaptive trend framework, it helps identify areas where reversals are statistically more likely to occur.
