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Std Smart Pivot V5.0 by SJKim
Std Smart Pivot V5.0 by SJKim
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MK_OSFT-Multi-Timeframe MA Dashboard & Smart Alerts-v2📊 Multi-Timeframe MA Dashboard & Smart Alerts v2.0
Transform your trading with the ultimate moving average monitoring system that tracks up to 8 different MA configurations across multiple timeframes simultaneously.
🎯 What This Indicator Does
This advanced dashboard eliminates the need to constantly switch between timeframes by displaying all your critical moving averages on a single chart. Whether you're scalping on 5-minute charts or swing trading on daily timeframes, you'll instantly see the big picture.
⭐ Key Features
📈 Multi-Timeframe Moving Averages
Monitor up to **8 different MA configurations** simultaneously
Support for **SMA and EMA** across 6 timeframes (5m, 15m, 1h, 4h, Daily, Weekly)
Each MA fully customizable: length, color, alert settings, and visibility
Smart visual representation with labeled horizontal lines and connecting plots
🚨 Intelligent Alert System
Cross-over/Cross-under alerts for price vs MA interactions
Three alert modes : No alerts, Once only, or Once per bar close
Smart batching system prevents alert spam during volatile periods
Queue management with 3-second delays between alerts for optimal performance
Easy alert reset functionality for "once only" alerts
📊 Real-Time Information Dashboard
Live countdown timers showing time remaining until each timeframe closes
Color-coded progress bars with gradient visualization (green → yellow → orange → red)
Instant cross-over detection with up/down arrow indicators
Price vs MA relationship clearly displayed (above/below coloring)
🎨 Professional Visualization
Anti-overlap technology prevents labels from clustering
Customizable label positioning and sizing options
Drawing order control (larger timeframes first/last)
Connecting lines link current price to MA values
Status line integration for quick value reference
💡 Perfect For
Multi-timeframe traders [/b who need complete market context
Trend followers monitoring key MA levels across timeframes
Breakout traders waiting for price to cross critical moving averages
Risk managers using MAs as dynamic support/resistance levels
Anyone wanting organized, clutter-free MA monitoring
⚙️ Highly Configurable
Moving Average Settings
Individual enable/disable for each of 8 MA slots
Flexible timeframe selection : 5m, 15m, 1h, 4h, Daily, Weekly
MA type choice : SMA or EMA for each configuration
Custom lengths from 1 to any desired period
Color customization for each MA line and label
Alert Management
Per-MA alert configuration : Choose which MAs trigger alerts
Source selection : Current bar vs last confirmed bar calculations
Frequency control : Prevent over-alerting with smart queuing
Reset functionality : Easily reactivate "fired" once-only alerts
Display Options
Table positioning : Top-right, bottom-left, or bottom-right
Label styling : Size, offset, and gap control
Line customization : Width and extension options
Timezone adjustment : Align timestamps with your local time
🔧 Technical Excellence
Optimized performance with efficient array management and single-pass calculations
Real-time vs historical mode handling for accurate backtesting
Memory-efficient label and line management prevents accumulation
Robust error handling and edge case management
Clean, well-documented code following Pine Script best practices
📋 How to Use
Add to chart and configure your desired MA combinations
Set alert preferences for each MA (none/once/per bar)
Create TradingView alert using "Any alert() function calls"
Monitor the dashboard for cross-over signals and timeframe progress
Use the info table to track all MA values and alert statuses at a glance
🎓 Educational Value
This indicator serves as an excellent educational tool for understanding:
Multi-timeframe analysis principles
Moving average confluence and divergence
Alert system design and management
Professional indicator development techniques
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Transform your trading workflow with this professional-grade multi-timeframe MA monitoring system. No more chart hopping - get the complete moving average picture in one powerful dashboard!
© MK_OSF_TRADING | Pine Script v6 | Mozilla Public License 2.0
Nifty Smart Zones & Breakout Bars(5min TF only) by Chaitu50cNifty Smart Zones & Breakout Bars is a purpose-built intraday trading tool, tested extensively on Nifty50 and recommended for Nifty50 use only.
All default settings are optimised specifically for Nifty50 on the 5-minute timeframe for maximum accuracy and clarity.
Why Last Bar of the Session Matters
The last candle of a trading session often represents the final battle between buyers and sellers for that day.
It encapsulates closing sentiment, influenced by end-of-day positioning, profit booking, and institutional activity.
The high and low of this bar frequently act as strong intraday support/resistance in the following sessions.
Price often reacts around these levels, especially when combined with volume surges.
Core Features
Session Last-Candle Zones
Plots a horizontal box at the high and low of the last candle in each session.
Boxes extend to the right to track carry-over levels into new sessions.
Uses a stateless approach — past zones reappear if relevant.
Smart Suppression System
When more than your Base Sessions (No Suppression) are shown, newer zones overlapping or within a proximity distance (in points) of older zones are hidden.
Older zones take priority, reducing chart clutter while keeping critical levels.
Breakout Bar Coloring
Highlights breakout bars in four categories:
Up Break (1-bar)
Down Break (1-bar)
Up Break (2-bar)
Down Break (2-bar)
Breakouts use a break buffer (in ticks) to filter noise.
Toggle coloring on/off instantly.
Volume Context (User Tip)
For best use, pair with volume analysis.
High-volume breakouts from last-session zones have greater conviction and can signal sustained momentum.
Usage Recommendations
Instrument: Nifty50 only (tested & optimised).
Timeframe: 5-minute chart for best results.
Approach:
Watch for price interaction with the plotted last-session zones.
Combine zone breaks with bar color signals and volume spikes for higher-probability trades.
Use suppression to focus on key, non-redundant levels.
Why This Tool is Different
Unlike standard support/resistance plotting, this indicator focuses on session-closing levels, which are more reliable than arbitrary highs/lows because they capture the final market consensus for the session.
The proximity-based suppression ensures your chart stays clean, while breakout paints give instant visual cues for momentum shifts.
Ayman – Full Smart Suite Auto/Manual Presets + PanelIndicator Name
Ayman – Full Smart Suite (OB/BoS/Liq/FVG/Pin/ADX/HTF) + Auto/Manual Presets + Panel
This is a multi-condition trading tool for TradingView that combines advanced Smart Money Concepts (SMC) with classic technical filters.
It generates BUY/SELL signals, draws Stop Loss (SL) and Take Profit (TP1, TP2) levels, and displays a control panel with all active settings and conditions.
1. Main Features
Smart Money Concepts Filters:
Order Block (OB) Zones
Break of Structure (BoS)
Liquidity Sweeps
Fair Value Gaps (FVG)
Pin Bar patterns
ADX filter
Higher Timeframe EMA filter (HTF EMA)
Two Operating Modes:
Auto Presets: Automatically adjusts all settings (buffers, ATR multipliers, RR, etc.) based on your chart timeframe (M1/M5/M15).
Manual Mode: Fully customize all parameters yourself.
Trade Management Levels:
Stop Loss (SL)
TP1 – partial profit
TP2 – full profit
Visual Panel showing:
Current settings
Filter status
Trend direction
Last swing levels
SL/TP status
Alerts for BUY/SELL conditions
2. Entry Conditions
A BUY signal is generated when all these are true:
Trend: Price above EMA (bullish)
HTF EMA: Higher timeframe trend also bullish
ADX: Trend strength above threshold
OB: Price in a valid bullish Order Block zone
BoS: Structure break to the upside
Liquidity Sweep: Sweep of recent lows in bullish context
FVG: A bullish Fair Value Gap is present
Pin Bar: Bullish Pin Bar pattern detected (if enabled)
A SELL signal is generated when the opposite conditions are met.
3. Stop Loss & Take Profits
SL: Placed just beyond the last swing low (BUY) or swing high (SELL), with a small ATR buffer.
TP1: Partial profit target, defined as a ratio of the SL distance.
TP2: Full profit target, based on Reward:Risk ratio.
4. How to Use
Step 1 – Apply Indicator
Open TradingView
Go to your chart (recommended: XAUUSD, M1/M5 for scalping)
Add the indicator script
Step 2 – Choose Mode
AUTO Mode: Leave “Use Auto Presets” ON – parameters adapt to your timeframe.
MANUAL Mode: Turn Auto OFF and adjust all lengths, buffers, RR, and filters.
Step 3 – Filters
In the Filters On/Off section, enable/disable specific conditions (OB, BoS, Liq, FVG, Pin Bar, ADX, HTF EMA).
Step 4 – Trading the Signals
Wait for a BUY or SELL arrow to appear.
SL and TP levels will be plotted automatically.
TP1 can be used for partial close and TP2 for full exit.
Step 5 – Alerts
Set alerts via BUY Signal or SELL Signal to receive notifications.
5. Best Practices
Scalping: Use M1 or M5 with AUTO mode for gold or forex pairs.
Swing Trading: Use M15+ and adjust buffers/ATR manually.
Combine with price action confirmation before entering trades.
For higher accuracy, wait for multiple filter confirmations rather than acting on the first arrow.
6. Summary Table
Feature Purpose Can Disable?
Order Block Finds key supply/demand zones ✅
Break of Structure Detects trend continuation ✅
Liquidity Sweep Finds stop-hunt moves ✅
Fair Value Gap Confirms imbalance entries ✅
Pin Bar Price action reversal filter ✅
ADX Trend strength filter ✅
HTF EMA Higher timeframe confirmation ✅
Volatility Wick Trap — Smart Reversal EngineThe Volatility Wick Trap — Smart Reversal Engine is a precision reversal detection tool designed for traders who rely on smart money footprints, volatility compression, and liquidity wick exhaustion to time entries near market turns.
💡 Core Components:
Volatility Squeeze Detection: Identifies candles where range compresses significantly compared to the 14-period average true range, highlighting potential breakout zones.
Liquidity Wick Exhaustion: Detects candles with dominant upper or lower wicks, signaling failed liquidity grabs or stop hunts.
Contextual EMA Filter: Uses a 21-period EMA to filter signals, improving accuracy by aligning with market structure bias.
🔍 How It Works:
Green diamond lines mark bullish hidden reversal zones.
Red diamond lines mark bearish hidden reversal traps.
These lines only appear when volatility compresses and wick traps are confirmed within the trend context.
✅ Clean. Minimal. Tactical.
Ideal for scalpers, swing traders, and smart money enthusiasts looking to fade emotional price spikes.
Yuri Garcia Smart Money Strategy FULL (COMPLIANT)Yuri Garcia Smart Money Strategy FULL (Slope Divergence)
This script is not a mashup of random indicators. It is an original, coherent strategy that blends multiple institutional-grade tools to form a unified Smart Money trading system. Each component contributes to precise trade filtering, context, and confirmation — no element is decorative or redundant.
🔍 Strategy Logic: How It Works
This strategy integrates the following tools, each with a clearly defined role:
1. Volume Cluster Zones (Orange bands)
Identifies strong buy/sell areas using the highest volume nodes over a rolling window. These act as dynamic points of control where Smart Money is likely active.
2. HTF Zones (4H) (Purple band)
Defines institutional zones by using the 20-bar high/low on the 4-hour chart. These set the outer bounds for valid entries, ensuring alignment with larger market structure.
3. Wick Pullback Filter (Orange circle 🔶)
Detects exhaustion or absorption near zones. Used to confirm genuine rejection after liquidity sweeps or traps.
4. Cumulative Delta Confirmation (Red square 🟥)
Analyzes whether buyers or sellers are dominant using delta volume. Trades only trigger when volume confirms the intended direction.
5. Slope-Based Delta Divergence (Optional)
Detects hidden reversals between price and delta. This prevents late entries and provides early insight into potential trap reversals.
6. Liquidity Grab Detection (Blue diamond 🔷)
Marks smart money stop hunts — temporary price breaks beyond highs/lows, followed by reversal. Used as a confluence tool.
7. ATR-Based Dynamic Risk Control
The strategy uses ATR to calculate SL/TP dynamically. This allows position sizing to adjust to volatility, reducing overexposure in high-momentum conditions.
🎯 Entry Criteria
All the following conditions must be met:
✅ Price is inside a Volume Cluster Zone
✅ Price is within the HTF Institutional Zone
✅ Wick Pullback confirms reaction
✅ Delta confirms strength of buyers/sellers
✅ (Optional) Slope-based divergence signals hidden shift
✅ (Optional) Liquidity grab occurs
Only then will the strategy trigger an entry.
📈 Visual Legend (Symbols on Chart)
Symbol Description
🟣 Purple Zone HTF Support/Resistance zone (4H context)
🟠 Orange Zone Volume cluster from top 3 volume nodes
🔶 Orange Circle Wick Pullback confirmation
🟥 Red Square Delta Confirmation
🔷 Blue Diamond Liquidity Grab indicator
🔵 Blue X Price is inside HTF Zone
🔻 Red Triangle SHORT entry signal
🔺 Green Triangle LONG entry signal
These visuals make it easier to read the chart intuitively while understanding each condition’s role.
⚙️ Strategy Settings Justification
Default Qty: 2% of equity (sustainable risk)
RRR: 2.0 (adaptive to volatility)
ATR Multiplier: 2.0 for SL/TP
Commission: 0.1% used
Slippage: 2 points for realism
Minimum Trades for Testing: Designed to generate over 100 trades under normal backtest conditions
Dataset: Supports BTC, GOLD, Forex, Indices with realistic volatility and volume
These settings reflect a realistic use case for average retail traders and avoid overfitting or unrealistic returns.
📌 How to Use
Apply on 15-minute or 1-hour timeframe.
Wait for full alignment of all entry conditions.
Confirm visually or use included alerts for manual or bot execution.
SL and TP are automatically handled.
🚫 Important Notes
This script is original, not a remix or mashup of unrelated indicators.
Each component was designed to work in harmony, enhancing trade quality and confidence.
No external scripts are required to function.
Alert messages are pre-formatted for both manual and webhook use.
🔁 A.X.I.S Fibonacci Engine V2 – Smart Projected Pathway🔁 A.X.I.S Fibonacci Engine V2 – Smart Projected Pathway indicator
The A.X.I.S Fibonacci Engine V2 is a next-generation Fibonacci projection tool designed for traders seeking advanced, adaptive levels that respond to true multi-timeframe market structure. Built from the ground up for active traders—scalpers, swing traders, and position players—it fuses traditional Fibonacci logic with dynamic price projection and smart anchor logic.
How It Works:
Multi-Timeframe Anchoring:
Anchors your Fibonacci levels to High Timeframe (HTF) pivots for powerful bias and “macro” market structure, while also utilizing Low Timeframe (LTF) swing detection for precise “micro” projection and pathway analysis.
Dynamic Pathway Projection:
Beyond static lines, this engine allows Fibonacci levels to be projected forward, following the price path between significant swings—giving you projected targets and active “pathways” instead of just fixed retracement bands.
Trend-Adaptive Logic:
Determines bullish/bearish bias based on where HTF price closes relative to a moving average (HTF EMA-20), meaning the plotted fibs automatically adjust to uptrends or downtrends. No need to guess direction.
Auto-Cleanup & Smart Management:
Old lines and labels are deleted automatically to keep your chart clean, and levels are recalculated with every new significant swing (“leg”)—no manual intervention needed.
Key Features:
Multi-Timeframe Input:
Choose both HTF (for “anchor” pivots) and LTF (for “projection” pivots) independently.
Fine-tune swing sensitivity for both anchors and pathway pivots.
Classic + Projected Mode:
Choose between standard horizontal Fibs or enable Dynamic Pathway Mode to project levels diagonally into future bars, creating “fib pathways.”
Color Customization:
Individualize bullish/bearish fib colors, line style (solid, dashed, dotted), thickness, label position, and transparency.
Special “golden zone” highlighting for the most critical levels (0.618/0.786).
Visual Anchors:
Optionally plot markers for HTF swing pivots for extra clarity.
Chart Cleanliness:
Script manages and deletes its own objects—no more chart clutter!
Real-Time Auto-Update:
All levels and pathways update in real time as market structure changes.
User-Friendly Labels:
Toggle on/off fib level labels, with position and background adjustments.
Practical Trading Applications:
Swing/Position Trading:
Use HTF pivots for macro context, then project LTF fibs into the future for potential reversal/extension targets.
Scalping:
Deploy on lower timeframes with micro pivots for intraday levels and short-term projected moves.
Dynamic Take-Profit & Entry Zones:
Identify evolving TP and re-entry zones as price carves out new swings, even in choppy or trending conditions.
Trend Confirmation:
Let the engine determine trend direction, so your fibs are always aligned with prevailing momentum.
How to Use:
Add to Chart:
Apply the indicator to any chart or timeframe.
Set Your Anchors:
Pick the HTF (anchor) and LTF (projection) timeframes.
Adjust swing sensitivity (lookback) as needed.
Enable/Disable Dynamic Pathway:
For regular fibs, leave off.
For projected “pathways,” turn it ON—lines will project forward along the likely path of the next move.
Adjust Colors, Labels, and Styles:
Fine-tune everything for clarity and your personal style.
Watch for Changes:
As new pivots form, the script will update levels in real time, keeping your roadmap fresh.
(Optional) Show Macro Swings:
Toggle on/off to plot markers for the most recent HTF pivots.
Who Is It For?
Day traders, scalpers, and swing traders wanting true projected price targets—not just static fibs.
Traders tired of redrawing fibs after every new swing.
Anyone who wants a clean, dynamic, and truly adaptive fib tool that blends macro and micro market structure into one engine.
What Makes It Different?
True multi-timeframe awareness:
Adapts to both macro (HTF) and micro (LTF) structure.
Automatic trend recognition:
Fibs align with price action—no manual flipping.
Projected, not just static:
See where fib levels could land, not just where they were.
Cleanest chart management:
Deletes its own lines and labels on every update—no mess, ever.
Note:
This tool is for educational and informational purposes only. Not financial advice. Always use proper risk management!
Any issues or feature requests? Drop a comment below or reach out!
Happy trading and welcome to the A.X.I.S revolution.
— I5X-Albatross
TrendPilot AI v2 — Smart ATR Indicator with ZonesTrendPilot AI v2 is a smart price-action and ATR-based trading system designed for swing and position traders. It combines trend-following logic with adaptive price zones to help users identify high-probability Buy and Sell opportunities — along with intelligent re-entry points, weak signal detection, and visual structure zones.
🔧 Core Features:
✅ ATR-based Buy/Sell signals with confirmation logic
✅ Dynamic 99 EMA Channel for trend context
✅ Re-entry triangles for stacking or retracing setups
✅ 150 EMA Weak Signal Detection for early trend warnings
✅ 🧭 Price Action Zones (Premium, Equilibrium, Discount)
✅ Visual alerts via triangles, labels, and color-coded logic
✅ Designed for 15m, 1H, and 4H charts — also useful on Daily
🧠 How It Works (Logic Breakdown)
1️⃣ Trend Direction — EMA Channel Logic
A 99 EMA Channel determines the dominant market bias.
If price is above the channel → trend is Bullish → Buy signals are valid
If price is below the channel → trend is Bearish → Sell signals are valid
2️⃣ Buy/Sell Signals — ATR Trailing Logic
The system uses custom ATR trailing logic to detect when price momentum shifts.
When a breakout aligns with trend direction, a Buy or Sell label appears.
These are designed to capture the main trend leg or reversal zone.
3️⃣ Re-Entry Signals — Triangle Visual Cues
During a confirmed trend, if price retraces to the EMA channel, a small triangle is shown:
🔼 Green triangle: Buy re-entry during bullish trend
🔽 Red triangle: Sell re-entry during bearish trend
These are not new signals but continuation cues for advanced traders.
4️⃣ Weak Signal Detection — 150 EMA Logic
A secondary 150 EMA helps detect possible trend exhaustion.
If price dips below 150 EMA during a bullish run, an orange triangle appears (⚠️ caution).
If price rises above 150 EMA during a bearish run, a blue triangle appears.
This signals potential weakening of the active trend.
5️⃣ Price Zones — Premium, Equilibrium, Discount
TrendPilot AI v2 draws 3 smart price zones based on ATR & market structure:
🟥 Premium Zone (Top) → Overbought area, caution for long trades
🟨 Equilibrium Zone (Middle) → Fair value, consolidation possible
🟩 Discount Zone (Bottom) → Oversold, better long entries
These zones help filter signals and avoid entries in risky areas.
Example: Avoid Buy signals inside Premium zone.
🧪 Suggested Use:
✅ Timeframes: 15m / 1H / 4H / 1D
✅ Combine signals with zone analysis for optimal entries
✅ Use re-entry triangles to add or confirm during pullbacks
✅ Use weak signal warnings to tighten stops or manage risk
✅ Works best in trending environments or breakout markets
⚠️ Note for Users:
This script is not repainting. All signals are plotted with stable logic.
Past performance does not guarantee future results — always backtest first.
Script does not contain financial advice — use at your own discretion.
ParthFintech SMART Indicator V1.0A powerful, all-in-one SMART indicator designed to identify high-probability trade setups across any timeframe. By combining break-of-structure entries with multi-timeframe trend confirmation, dynamic support & resistance, Order Block (OB) and Fair Value Gaps (FVG ) Detection, it automatically plots your entry, stop loss, and three tiered take-profit levels—and even marks them with arrows and labels so you can act at a glance.
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A. 🔑 Key Features
1. Break of Structure (BOS) based entries: Detects fresh bullish or bearish structure breaks for precise timing.
2. Multi-Timeframe Trend Filter: Confirms 4 hour and Daily trend alignment via crossovers to avoid counter-trend signals.
3. Dynamic Support & Resistance Zones: Automatically captures the most recent swing highs/lows as S/R levels in the chart.
4. Multiple confluence Detection: Marks recent bullish/bearish order blocks with tiny colored squares.
5. Fair Value Gap (FVG) Zones: Highlights potential liquidity imbalance areas where price often returns.
6. Automated Risk/Reward Levels:
- Entry at the BOS candle high/low
- Stop Loss at the most recent swing low (for longs) or swing high (for shorts)
- TP1, TP2, TP3 calculated as configurable RR multiples (default 1.5×, 2×, 3×)
B. Visual Cues:
- Green arrow below the bar for long entries
- Red arrow above the bar for short entries
- Labels “ENTRY”, “SL”, “TP1”, “TP2”, “TP3” plotted at their respective price levels
- Alert-Ready: Built-in alert conditions for Entry, all three TPs and SL hits—perfect for pop-ups, emails, or webhooks (Telegram integration).
C. ⚙️ Inputs & Customization
Input Default Description
- TP1 RR 1.5 First take-profit as a multiple of risk
- TP2 RR 2.0 Second take-profit multiple
- TP3 RR 3.0 Third take-profit multiple
- Lookback S/R 20 Bars to use when calculating swing highs/lows
- Arrow Offset (pips) 10 Vertical offset for the entry arrows
- HTF 1 240 Higher timeframe #1 (4 hour)
- HTF 2 D Higher timeframe #2 (Daily)
- Customize RR targets, lookback period, arrow offset, or HF trend timeframes to match your trading style.
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D. 🎯 How It Works
1. Trend Check – Uses trend analysis on 4H & Daily to ensure you trade with the dominant market direction.
2. Structure Break – Alerts when price closes beyond the most recent swing high (bullish) or low (bearish).
3. Zone Confirmation – Plots S/R, OB, and FVG zones to help you visualize confluence.
4. Level Calculation – Automatically computes entry, stop, and three target levels based on your RR settings.
5. Visual Signals & Alerts – Draws arrows/labels on the chart and triggers alerts so you never miss a setup.
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E. 🚀 Getting Started
1. Open Indicators menu on TradingView and search for ParthFintech SMART Indicator.v1.0
2. Click Add to Chart and tweak input settings to your preference.
3. Create alerts on “Buy Signal”, “Sell Signal”, “TP1 Hit”, “SL Hit”, etc., choosing popup, email, or webhook delivery.
Contact: support@parth-fintech.com or visit parth-fintech.com for any queries.
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> Disclaimer: This indicator is provided for personal use and should be tested thoroughly in a demo environment before deploying with real capital. Always manage your risk appropriately.
🧪 Yuri Garcia Smart Money Strategy FULL (Slope Divergence))📣 Yuri Garcia – Smart Money Strategy FULL
This is my private Smart Money Concept strategy, designed for my family and community to learn, trade, and grow sustainably.
🔑 How it works:
✅ Volume Cluster Zones: Automatically detects areas where strong buyers or sellers concentrate, acting as dynamic S/R levels.
✅ HTF Institutional Zones (4H): Higher timeframe trend filter ensures you’re always trading in the direction of major flows.
✅ Wick Pullback Filter: Confirms price rejects the zone, catching smart money traps and reversals.
✅ Cumulative Delta (CVD): Confirms whether buyers or sellers are truly in control.
✅ Slope-Based Divergence: Optional hidden divergence between price & CVD to spot reversals others miss.
✅ ATR Dynamic SL/TP: Adapts stop loss and take profit to live volatility with adjustable risk/reward.
🧩 Visual Markers Explained:
🟦 Blue X: Price inside HTF zone
🟨 Yellow X: Price inside Volume Cluster zone
🟧 Orange Circle: Wick pullback detected
🟥 Red Square: CVD confirms order flow strength
🔼 Aqua Triangle Up: Bullish slope divergence
🔽 Purple Triangle Down: Bearish slope divergence
🟢 Green Triangle Up: Final Long Entry confirmed
🔴 Red Triangle Down: Final Short Entry confirmed
⚡ Who is this for?
This strategy is best suited for traders who understand smart money concepts, order flow, and want an adaptive framework to trade major assets like BTC, Gold, SP500, NASDAQ, or FX pairs.
🔒 Important
Use responsibly, backtest extensively, and combine with solid risk management. This is for educational purposes only.
✨ Credits
Built with ❤️ by Yuri Garcia – dedicated to my family & community.
✅ How to use it
1️⃣ Add to chart
2️⃣ Adjust inputs for your asset & timeframe
3️⃣ Enable/disable slope divergence filter to match your style
4️⃣ Set your alerts with built-in conditions
Order Blocks v2Order Blocks v2 – Smart OB Detection with Time & FVG Filters
Order Blocks v2 is an advanced tool designed to identify potential institutional footprints in the market by dynamically plotting bullish and bearish order blocks.
This indicator refines classic OB logic by combining:
Fractal-based break conditions
Time-level filtering (Power of 3)
Optional Fair Value Gap (FVG) confirmation
Real-time plotting and auto-invalidation
Perfect for traders using ICT, Smart Money, or algorithmic timing models like Hopplipka.
🧠 What the indicator does
Detects order blocks after break of bullish/bearish fractals
Supports 3-bar or 5-bar fractal structures
Allows OB detection based on close breaks or high/low breaks
Optionally confirms OBs only if followed by a Fair Value Gap within N candles
Filters OBs based on specific time levels (3, 7, 11, 14) — core anchors in many algorithmic models
Automatically deletes invalidated OBs once price closes through the zone
⚙️ How it works
The indicator:
Tracks local fractal highs/lows
Once a fractal is broken by price, it backtracks to identify the best OB candle (highest bullish or lowest bearish)
Validates the level by checking:
OB type logic (close or HL break)
Time stamp match with algorithmic time anchors (e.g. 3, 7, 11, 14 – known from the Power of 3 concept)
Optional FVG confirmation after OB
Plots OB zones as lines (body or wick-based) and removes them if invalidated by a candle close
This ensures traders see only valid, active levels — removing noise from broken or out-of-context zones.
🔧 Customization
Choose 3-bar or 5-bar fractals
OB detection type: close break or HL break
Enable/disable OBs only on times 3, 7, 11, 14 (Hopplipka style)
Optional: require nearby FVG for validation
Line style: solid, dashed, or dotted
Adjust OB length, width, color, and use body or wick for OB height
🚀 How to use it
Add the script to your chart
Choose your preferred OB detection mode and filters
Use plotted OB zones to:
Anticipate price rejections and reversals
Validate Smart Money or ICT-based entry zones
Align setups with algorithmic time sequences (3, 7, 11, 14)
Filter out invalid OBs automatically, keeping your chart clean
The tool is useful on any timeframe but performs best when combined with a liquidity-based or time-anchored trading model.
💡 What makes it original
Combines fractal logic with OB confirmation and time anchors
Implements time-based filtering inspired by Hopplipka’s interpretation of the "Power of 3"
Allows OB validation via optional FVG follow-up — rarely available in public indicators
Auto-cleans invalidated OBs to reduce clutter
Designed to reflect market structure logic used by institutions and algorithms
💬 Why it’s worth using
Order Blocks v2 simplifies one of the most nuanced parts of SMC: identifying clean and high-probability OBs.
It removes subjectivity, adds clear timing logic, and integrates optional confluence tools — like FVG.
For traders serious about algorithmic-level structure and clean setups, this tool delivers both logic and clarity.
⚠️ Important
This indicator:
Is not a signal generator or financial advice tool
Is intended for experienced traders using OB/SMC/time-based logic
Does not predict market direction — it provides visual structural levels only
[TupTrader] Multi-Timeframe Key Levels | Smart Candle Zones
**Multi-Timeframe Key Levels | Smart Candle Zones**
Unlock the power of smart price levels with Multi-Timeframe Key Levels – a precision tool for traders who rely on higher timeframe structure.
🧠 This indicator automatically plots the key levels (Open, High, Low, Close) and optional body/fibonacci levels of the *previous candle* from two customizable higher timeframes, directly onto your lower timeframe chart.
💡 Recommended settings:
- 4H + Daily on 5-Minute Chart
- 8H + 1H on 1-Minute Chart
📈 Ideal for:
- Scalping around structure levels
- Day trading with HTF context
- Confirmation of breakout, retest, or rejection patterns
✅ Features:
- Dual reference timeframes
- Auto-adjusting line lengths
- Live price labels (e.g. H: 4321.50)
- Choice between body or Fibonacci zones
- Candle box visualization of HTF structure
🚨 Alerts:
- Alert when price touches any HTF key level
Lightweight and customizable, this tool is a must-have for intraday and structure-based traders.
[blackcat] L3 Smart Money FlowCOMPREHENSIVE ANALYSIS OF THE L3 SMART MONEY FLOW INDICATOR
🌐 OVERVIEW:
The L3 Smart Money Flow indicator represents a sophisticated multi-dimensional analytics tool combining traditional momentum measurements with advanced institutional investor tracking capabilities. It's particularly effective at identifying large-scale capital movement dynamics that often precede significant price shifts.
Core Objectives:
• Detect subtle but meaningful price action anomalies indicating major player involvement
• Provide clear entry/exit markers based on multiple validated criteria
• Offer risk-managed positioning strategies suitable for various account sizes
• Maintain operational efficiency even during high volatility regimes
THEORETICAL BACKDROP AND METHODOLOGY
🎓 Conceptual Foundation Principles:
Utilizes Time-Varying Moving Averages (TVMA) responding adaptively to changing market states
Implements Extended Smoothing Algorithm (XSA) providing enhanced filtration characteristics
Employs asymmetric weight distribution favoring recent price observations over historical ones
→ Analyzes price-weighted closing prices incorporating volume influence indirectly
← Applies Asymmetric Local Maximum (ALMA) filters generating institution-specific trends
⟸ Combines multiple temporal perspectives producing robust directional assessments
✓ Calculates normalized momentum ratios comparing current state against extended range extremes
✗ Filters out insignificant fluctuations via double-stage verification process
⤾ Generates actionable alerts upon exceeding predefined significance boundaries
CONFIGURABLE PARAMETERS IN DEPTH
⚙️ Input Customization Options Detailed Explanation:
Temporal Resolution Control:
→ TVMA Length Setting:
Minimum value constraint ensuring mathematical validity
Higher numbers increase smoothing effect reducing reaction velocity
Lower intervals enhance responsiveness potentially increasing noise exposure
Validation Threshold Definition:
↓ Bull-Bear Boundary Level:
Establishes fundamental acceptance/rejection zones
Typically set near extreme values reflecting rare occurrence probability
Can be adjusted per instrument liquidity profiles if necessary
ADVANCED ALGORITHMIC PROCEDURES BREAKDOWN
💻 Internal Operation Architecture:
Base Calculations Infrastructure:
☑ Raw Data Preparation and Normalization
☐ High/Low/Closing Aggregation Processes
☒ Range Estimation Algorithms
Intermediate Transform Engine:
📈 Momentum Ratio Computation Workflow
↔ First Pass XSA Application Details
➖ Second Stage Refinement Mechanics
Final Output Synthesis Framework:
➢ Composite Reading Compilation Logic
➣ Validation Status Determination Process
➤ Alert Trigger Decision Making Structure
INTERACTIVE VISUAL INTERFACE COMPONENTS
🎨 User Experience Interface Elements:
🔵 Plotting Series Hierarchy:
→ Primary FundFlow Signal: White trace marking core oscillator progression
↑ Secondary Confirmation Overlay: Orange/Yellow highlighting validation status
🟥 Risk/Reward Boundaries: Aqua line delineating strategic areas requiring attention
🏷️ Interactive Marker System:
✔ "BUY": Green upward-pointing labels denoting confirmed long entries
❌ "SELL": Red downward-facing badges signaling short setups
PRACTICAL APPLICATION STRATEGY GUIDE
📋 Operational Deployment Instructions:
Strategic Planning Initiatives:
• Define precise profit targets considering realistic reward/risk scenarios
→ Set maximum acceptable loss thresholds protecting available resources adequately
↓ Develop contingency plans addressing unexpected adverse developments promptly
Live Trading Engagement Protocols:
→ Maintaining vigilant monitoring of label placement activities continuously
↓ Tracking order fill success rates across implemented grids regularly
↑ Evaluating system effectiveness compared alternative methodologies periodically
Performance Optimization Techniques:
✔ Implement incremental improvements iteratively throughout lifecycle
❌ Eliminate ineffective component variations systematically
⟹ Ensure proportional growth capability matching user needs appropriately
EFFICIENCY ENHANCEMENT APPROACHES
🚀 Ongoing Development Strategy:
Resource Management Focus Areas:
→ Minimizing redundant computation cycles through intelligent caching mechanisms
↓ Leveraging parallel processing capabilities where feasible efficiently
↑ Optimizing storage access patterns improving response times substantially
Scalability Consideration Factors:
✔ Adapting to varying account sizes/market capitalizations seamlessly
❌ Preventing bottlenecks limiting concurrent operation capacity
⟹ Ensuring balanced growth capability matching evolving requirements accurately
Maintenance Routine Establishment:
✓ Regular codebase updates incorporation keeping functionality current
↓ Periodic performance audits conducting verifying continued effectiveness
↑ Documentation refinement updating explaining any material modifications made
SYSTEMATIC RISK CONTROL MECHANISMS
🛡️ Comprehensive Protection Systems:
Position Sizing Governance:
∅ Never exceed predetermined exposure limitations strictly observed
± Scale entries proportionally according to available resources carefully
× Include slippage allowances within planning stages realistically
Emergency Response Procedures:
↩ Well-defined exit strategies including trailing stops activation logic
🌀 Contingency plan formulation covering worst-case scenario contingencies
⇄ Recovery procedure documentation outlining restoration steps methodically
OTC COT / smart money Index 2.0 COT/ Smart money Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength.
👉 Core Functionality:
Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market.
Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis.
Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility.
Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions).
The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals.
📊 Applied Example – Gold Trade Using COT Net Position Analysis
To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup.
Step 1️⃣ – Identifying Technical Structure:
The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying.
Step 2️⃣ – COT Index Confirmation:
Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation.
Step 3️⃣ – COT Net Positions Validation:
Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction.
Step 4️⃣ – Divergence Check:
For added confirmation, divergence between commercials and retail traders was assessed:
✅ Commercials: Strongly net-long.
❌ Retail traders: Heavily net-short.
This clear divergence between smart money and retail sentiment further validated the setup.
Step 5️⃣ – Trade Execution:
With everything aligned:
Demand zone identified,
312-week COT Index extreme,
15-year high in net positions,
Divergence between commercials and retail,
…the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup.
⚙️ What Sets This Tool Apart:
Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time.
Enhances decision-making by cross-validating positioning extremes with technical levels.
Flexible design allows use across multiple asset classes and timeframes.
📌 Best Practices:
Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength.
Use in conjunction with demand/supply zones or key technical levels for the strongest setups.
Look for divergence signals (institutions vs. retail) to confirm potential reversals.
Indicators Used in the Example:
This trade combined:
🧠 COT Net Position Indicator – to measure institutional exposure.
📊 COT Index – to identify positioning extremes.
📅 Seasonality Forecasting Tool – for time-based confirmation.
Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
Mingo Smart Entry Master 1H-15M - HTF BOS Zones + TP/SL📛 Script Title:
Smart Entry Master 1H–15M – HTF BOS Zones + TP/SL + Dashboard
🧠 What This Script Does:
This script is a higher-timeframe smart entry strategy designed to:
Detect Break of Structure (BOS) on the 1-hour timeframe
Draw Buy/Sell zones automatically on the chart
Provide clear SL & TP lines for trades
Use optional Smart Sell Detection to improve signal quality
Show a dashboard with live signal status
Keep the chart clean by removing old zones and labels
Ideal for intraday swing traders and confirmation-based scalpers looking to trade based on HTF structure + clean zone visualization.
📊 How the Strategy Works:
1. 🧱 Break of Structure (BOS) Detection (1H)
Script uses 1-hour swing highs/lows (swingLen) to define structure
If the 1H candle closes above a swing high → Buy Setup
If the 1H candle closes below a swing low → Sell Setup
🧠 Optional: Smart Sell Detection
Adds a buffer: compares close to lowest low in a lookback window (to reduce fake sells)
🔥 How to Use This Script in Real Trading:
Use on 15M chart to trade, but zones are based on 1H structure
When a Buy or Sell zone appears, check:
Is price tapping into the zone?
Did a clean BOS occur?
SL/TP lines give a ready-made trade plan
Wait for confirmation (price reaction, candle pattern, volume spike)
Set your alert for auto-trading or manual entry
TrendSync Pro (SMC)📊 TrendSync Pro (SMC) – Advanced Trend-Following Strategy with HTF Alignment
Created by Shubham Singh
🔍 Strategy Overview
TrendSync Pro (SMC) is a precision-based smart trend-following strategy inspired by Smart Money Concepts (SMC). It combines: Real-time pivot-based trendline detection
Higher Time Frame (HTF) filtering to align trades with dominant trend
Risk management via adjustable Stop Loss (SL) and Take Profit (TP)
Directional control — trade only bullish, bearish, or both setups
Realistic backtesting using commissions and slippage
Pre-optimized profiles for scalpers, intraday, swing, and long-term traders
🧠 How It Works:
🔧 Strategy Settings Image:
beeimg.com
The strategy dynamically identifies trend direction by using swing high/low pivots. When a new pivot forms: It draws a trendline from the last significant pivot
Detects whether the trend is up (based on pivot lows) or down (based on pivot highs)
Waits for price to break above/below the trendline
Confirms with HTF price direction (HTF close > previous HTF close = bullish)
Only then it triggers a long or short trade
It exits either at TP, SL, or a manual trendline break
🛠️ Adjustable Parameters:
Trend Period: Length for pivot detection (affects sensitivity of trendlines)
HTF Timeframe: Aligns lower timeframe entries with higher timeframe direction
SL% and TP%: Customize your risk-reward profile
Commission & Slippage: Make backtests more realistic
Trade Direction: Choose to trade: Long only, Short only, or Both
🎛️ Trade Direction Control:
In settings, you can choose: Bullish Only: Executes only long entries
Bearish Only: Executes only short entries
Both: Executes both long and short entries when conditions are met
This allows you to align trades with your own market bias or external analysis.
📈 Entry Logic: Long Entry:
• Price crosses above trendline
• HTF is bullish (HTF close > previous close)
• Latest pivot is a low (trend is considered up)
Short Entry:
• Price crosses below trendline
• HTF is bearish (HTF close < previous close)
• Latest pivot is a high (trend is considered down)
📉 Exit Logic: Hit Take Profit or Stop Loss
Manual trendline invalidation: If price crosses opposite of the trend direction
⏰ Best Timeframes & Recommended Settings:
Scalping (1m to 5m):
HTF = 15m | Trend Period = 7
SL = 0.5% | TP = 1% to 2%
Intraday (15m to 30m):
HTF = 1H | Trend Period = 10–14
SL = 0.75% | TP = 2% to 3%
6 Hour Trading (30m to 1H):
HTF = 4H | Trend Period = 20
SL = 1% | TP = 4% to 6%
Swing Trading (4H to 1D):
HTF = 1D | Trend Period = 35
SL = 2% | TP = 8% to 12%
Long-Term Investing (1D+):
HTF = 1W | Trend Period = 50
SL = 3% | TP = 15%+
Note: These are recommended base settings. Adjust based on volatility, asset class, or personal trading style.
📸 Testing Note:
beeimg.com
TradingView limits test length to 20k bars (~40 trades on smaller timeframes). To show long-term results: Test on higher timeframes (e.g., 1H, 4H, 1D)
Share images of backtest result in description
Host longer test result screenshots on Imgur or any public drive
📍 Asset Behavior Insight:
This strategy works on multiple assets, including BTC, ETH, etc.
Performance varies by trend strength:
Sometimes BTC performs better than ETH
Other times ETH gives better results
That’s normal as both assets follow different volatility and trend behavior
It’s a trend-following setup. Longer and clearer the trend → better the results.
✅ Best Practices: Avoid ranging markets
Use proper SL/TP for each timeframe
Use directional filter if you already have a directional bias
Always forward test before going live
⚠️ Trading Disclaimer:
This script is for educational and backtesting purposes only. Trading involves risk. Always use risk management and never invest more than you can afford to lose.
Tims Smart Money COT-IndexThe **Tims Smart Money COT Index** analyzes the positions of different groups of market participants from the COT report (Commercials, Large Specs, Small Specs). It calculates their net positions and scales them relative to extremes of the last 24 weeks. It indicates bullish and bearish zones to identify market sentiments.
- Commercials (Smart Money)**: Often act against the trend, bullish from 80+.
- Large Specs (Retail Money)**: Trend-following, bullish from 80+.
- Small Specs**: Mostly impulsive, bullish from 80+.
The indicator helps to identify turning points in the market based on the behavior of the players.
Relative volume zone + Smart Order Flow Dynamic S/ROverview:
The Relative Volume Zone + Smart Order Flow with Dynamic S/R indicator is designed to help traders identify key trading opportunities by combining multiple technical components. This script integrates relative volume analysis, order flow detection, VWAP, RSI filtering, and dynamic support and resistance levels to offer a comprehensive view of the market conditions. It is particularly effective on shorter timeframes (M5, M15), making it suitable for scalping and day trading strategies.
Key Components:
1. Relative Volume Zones:
• The script calculates the relative volume by comparing the current volume with the average volume over a defined lookback period (volLookback). When the relative volume exceeds a specified multiplier (volMultiplier), it indicates a high volume zone, signaling potential accumulation or distribution areas.
• Purpose: Identifies high-volume trading zones that may act as significant support or resistance, indicating possible entry or exit points.
2. Smart Order Flow Analysis:
• The indicator uses Volume Delta (the difference between buying and selling volume) and a Cumulative Delta to detect order imbalances in the market.
• Order Imbalance is identified using a moving average of the Volume Delta (orderImbalance), which helps highlight hidden buying or selling pressure.
• Purpose: Reveals market sentiment by showing whether buyers or sellers dominate the market, aiding in the identification of trend reversals or continuations.
3. VWAP (Volume Weighted Average Price):
• VWAP is calculated over a default daily length (vwapLength) to show the average price a security has traded at throughout the day, based on both volume and price.
• Purpose: Provides insight into the fair value of the asset, indicating whether the market is in an accumulation or distribution phase.
4. RSI (Relative Strength Index) Filter:
• RSI is used to filter buy and sell signals, preventing trades in overbought or oversold conditions. It is calculated using a specified period (rsiPeriod).
• Purpose: Reduces false signals and improves trade accuracy by only allowing trades when RSI conditions align with volume and order flow signals.
5. Dynamic Support and Resistance Levels:
• The script dynamically plots support and resistance levels based on recent swing highs and lows (swingLookback).
• Purpose: Identifies potential reversal zones where price action may change direction, allowing for more precise entry and exit points.
How It Works:
• Buy Signal:
A buy signal is generated when:
• The price enters a high-volume zone.
• The price crosses above a 5-period moving average.
• The cumulative delta shows more buying pressure (cumulativeDelta > SMA of cumulativeDelta).
• The RSI is below 70 (not in overbought conditions).
• Sell Signal:
A sell signal is generated when:
• The price enters a high-volume zone.
• The price crosses below a 5-period moving average.
• The cumulative delta shows more selling pressure (cumulativeDelta < SMA of cumulativeDelta).
• The RSI is above 30 (not in oversold conditions).
• Dynamic Support and Resistance Lines:
Drawn based on recent swing highs and lows, these lines provide context for potential price reversals or breakouts.
• VWAP and Order Imbalance Lines:
Plotted to show the average traded price and highlight order flow shifts, helping to validate buy/sell signals.
How to Use:
1. Apply the Indicator:
Add the script to your chart and adjust the settings to match your trading style and preferred timeframe (optimized for M5/M15).
2. Interpret the Signals:
Use the buy and sell signals in conjunction with dynamic support/resistance, VWAP, and order imbalance lines to identify high-probability trade setups.
3. Monitor Alerts:
Set alerts for significant order flow events to receive notifications when there is a positive or negative order imbalance, indicating potential market shifts.
What Makes It Unique:
This script is unique because it combines multiple market analysis tools — relative volume zones, smart order flow, VWAP, RSI filtering, and dynamic support/resistance — to provide a well-rounded, multi-dimensional view of the market. This integration allows traders to make more informed decisions by validating signals across various indicators, enhancing overall trading accuracy and effectiveness.
Relative volume zone + Smart Order Flow Dynamic S/ROverview:
The Relative Volume Zone + Smart Order Flow with Dynamic S/R indicator is designed to help traders identify key trading opportunities by combining multiple technical components. This script integrates relative volume analysis, order flow detection, VWAP, RSI filtering, and dynamic support and resistance levels to offer a comprehensive view of the market conditions. It is particularly effective on shorter timeframes (M5, M15), making it suitable for scalping and day trading strategies.
Key Components:
1. Relative Volume Zones:
• The script calculates the relative volume by comparing the current volume with the average volume over a defined lookback period (volLookback). When the relative volume exceeds a specified multiplier (volMultiplier), it indicates a high volume zone, signaling potential accumulation or distribution areas.
• Purpose: Identifies high-volume trading zones that may act as significant support or resistance, indicating possible entry or exit points.
2. Smart Order Flow Analysis:
• The indicator uses Volume Delta (the difference between buying and selling volume) and a Cumulative Delta to detect order imbalances in the market.
• Order Imbalance is identified using a moving average of the Volume Delta (orderImbalance), which helps highlight hidden buying or selling pressure.
• Purpose: Reveals market sentiment by showing whether buyers or sellers dominate the market, aiding in the identification of trend reversals or continuations.
3. VWAP (Volume Weighted Average Price):
• VWAP is calculated over a default daily length (vwapLength) to show the average price a security has traded at throughout the day, based on both volume and price.
• Purpose: Provides insight into the fair value of the asset, indicating whether the market is in an accumulation or distribution phase.
4. RSI (Relative Strength Index) Filter:
• RSI is used to filter buy and sell signals, preventing trades in overbought or oversold conditions. It is calculated using a specified period (rsiPeriod).
• Purpose: Reduces false signals and improves trade accuracy by only allowing trades when RSI conditions align with volume and order flow signals.
5. Dynamic Support and Resistance Levels:
• The script dynamically plots support and resistance levels based on recent swing highs and lows (swingLookback).
• Purpose: Identifies potential reversal zones where price action may change direction, allowing for more precise entry and exit points.
How It Works:
• Buy Signal:
A buy signal is generated when:
• The price enters a high-volume zone.
• The price crosses above a 5-period moving average.
• The cumulative delta shows more buying pressure (cumulativeDelta > SMA of cumulativeDelta).
• The RSI is below 70 (not in overbought conditions).
• Sell Signal:
A sell signal is generated when:
• The price enters a high-volume zone.
• The price crosses below a 5-period moving average.
• The cumulative delta shows more selling pressure (cumulativeDelta < SMA of cumulativeDelta).
• The RSI is above 30 (not in oversold conditions).
• Dynamic Support and Resistance Lines:
Drawn based on recent swing highs and lows, these lines provide context for potential price reversals or breakouts.
• VWAP and Order Imbalance Lines:
Plotted to show the average traded price and highlight order flow shifts, helping to validate buy/sell signals.
How to Use:
1. Apply the Indicator:
Add the script to your chart and adjust the settings to match your trading style and preferred timeframe (optimized for M5/M15).
2. Interpret the Signals:
Use the buy and sell signals in conjunction with dynamic support/resistance, VWAP, and order imbalance lines to identify high-probability trade setups.
3. Monitor Alerts:
Set alerts for significant order flow events to receive notifications when there is a positive or negative order imbalance, indicating potential market shifts.
What Makes It Unique:
This script is unique because it combines multiple market analysis tools — relative volume zones, smart order flow, VWAP, RSI filtering, and dynamic support/resistance — to provide a well-rounded, multi-dimensional view of the market. This integration allows traders to make more informed decisions by validating signals across various indicators, enhancing overall trading accuracy and effectiveness.
Luxmi AI Smart Sentimeter (Index) "Performance or the direction of indices depend on the performance or direction of its constituents"
The above statement succinctly highlights the fundamental relationship between the movements of stock indices and the individual stocks that comprise them. Essentially, the statement underscores the fact that the overall performance and direction of an index are directly influenced by the collective performance and direction of its constituent stocks.
In essence, when the majority of stocks within an index experience positive movements, such as price increases or upward trends, the index itself tends to rise. Conversely, if a significant number of constituent stocks exhibit negative movements, such as price decreases or downward trends, the index is likely to decline.
This interdependence between indices and their constituents reflects the broader market sentiment and economic conditions. Individual stock movements contribute to the overall market sentiment, which is reflected in the movements of the index. Therefore, investors and traders often analyze the performance of underlying constituents to gain insights into market trends, sentiment shifts, and potential trading opportunities.
In summary, the statement emphasizes the integral role that individual stocks play in shaping the performance and direction of stock indices, highlighting the importance of monitoring constituent stocks when analyzing and trading in the financial markets.
Analyzing the performance of underlying constituents is crucial when trading index futures and options due to several reasons:
Index Composition Impact: Index futures and options derive their value from the performance of the underlying index, which, in turn, is determined by the constituent stocks. Understanding how individual stocks within the index are performing provides insights into the broader market sentiment and direction.
Diversification Assessment: Indices typically consist of a diverse range of stocks across various sectors. Analyzing the performance of these constituent stocks allows traders to assess the overall health of the market and identify sector-specific trends or weaknesses. This information is vital for constructing a well-diversified portfolio and managing risk effectively.
Sector Rotation Strategies: Different sectors perform differently under various market conditions. Analyzing the performance of underlying constituents enables traders to identify sectors that are outperforming or underperforming relative to the broader market. This insight can be utilized to implement sector rotation strategies, where traders adjust their portfolio allocations based on the expected performance of different sectors.
Options Pricing and Hedging: In options trading, the performance of underlying constituents directly affects the pricing of options contracts. Volatility, correlation among stocks, and individual stock movements all influence options prices. By analyzing the performance of underlying constituents, traders can better understand the factors driving options pricing and implement more effective hedging strategies.
Technical Analysis Confirmation: Technical analysis techniques often rely on price movements and patterns observed in individual stocks. Analyzing the performance of underlying constituents can confirm or invalidate technical signals generated by the index itself, providing additional conviction for trading decisions.
In summary, analyzing the performance of underlying constituents when trading index futures and options is essential for understanding market dynamics, identifying trading opportunities, managing risk, and making informed trading decisions. By staying informed about individual stock movements within an index, traders can gain a deeper understanding of market trends and position themselves for success in the ever-changing financial markets.
Workng Principle of Luxmi AI Smart Sentimeter:
The Luxmi AI Smart Sentimeter indicator is a powerful tool designed for traders to gain insights into market sentiment and trend strength. This indicator amalgamates data from multiple stocks to provide a comprehensive overview of market conditions. Let's delve into its components, functionalities, and potential applications.
Firstly, the indicator allows users to input symbols for up to ten different stocks. These symbols serve as the basis for retrieving closing prices, which are essential for conducting technical analysis. The flexibility to choose symbols empowers traders to tailor their analysis according to their preferences and market focus.
The indicator's core functionality revolves around the calculation of a combined Moving Averages of various lenghts, which aggregates the closing prices of the selected stocks. This combined combined analysis serves as a pivotal metric for assessing overall market trends and sentiment. By incorporating data from multiple stocks, the indicator offers a holistic view of market dynamics, reducing the impact of individual stock fluctuations.
To further refine the analysis, the combined Moving Average Data undergoes a smoothing process using another additional Moving Average (SMA). This smoothing mechanism helps filter out noise and provides a clearer depiction of underlying trends, thereby enhancing the indicator's effectiveness.
Moreover, the indicator computes an oscillator by measuring the difference between the combined MA and the smoothed MA. This oscillator serves as a valuable tool for gauging trend strength and identifying potential reversal points in the market, offering further insights into market momentum and directionality.
The indicator's graphical representation includes plots of the oscillator and its MA, facilitating visual interpretation of trend dynamics and momentum shifts. Furthermore, the script generates visual signals, such as UP and DOWN triangles, to highlight crossover and crossunder events on the oscillator, aiding traders in making timely and informed trading decisions.
In practice, the Luxmi AI Smart Sentimeter indicator offers a myriad of applications for traders across various trading styles and timeframes. Traders can utilize it to assess market sentiment, identify trend reversals, and confirm trade signals generated by other technical indicators. Additionally, the indicator can serve as a valuable tool for conducting market analysis, formulating trading strategies, and managing risk effectively.
In conclusion, the Luxmi AI Smart Sentimeter indicator represents a sophisticated yet accessible tool for traders seeking to navigate the complexities of the financial markets. With its robust features, customizable parameters, and insightful analysis, this indicator stands as a testament to the potential of data-driven approaches in trading and investment.
Settings:
The Index Constituent Analysis setting empowers users to input the constituents of a specific index, facilitating the analysis of market sentiments based on the performance of these individual components. An index serves as a statistical measure of changes in a portfolio of securities representing a particular market or sector, with constituents representing the individual assets or securities comprising the index.
By providing the constituent list, users gain insights into market sentiments by observing how each constituent performs within the broader index. This analysis aids traders and investors in understanding the underlying dynamics driving the index's movements, identifying trends or anomalies, and making informed decisions regarding their investment strategies.
This setting empowers users to customize their analysis based on specific indexes relevant to their trading or investment objectives, whether tracking a benchmark index, sector-specific index, or custom index. Analyzing constituent performance offers a valuable tool for market assessment and decision-making.
Example: BankNifty Index and Its Constituents
Illustratively, the BankNifty index represents the performance of the banking sector in India and includes major banks and financial institutions listed on the National Stock Exchange of India (NSE). Prominent constituents of the BankNifty index include:
State Bank of India (SBIN)
HDFC Bank
ICICI Bank
Kotak Mahindra Bank
Axis Bank
IndusInd Bank
Punjab National Bank (PNB)
Yes Bank
Federal Bank
IDFC First Bank
By utilizing the Index Constituent Analysis setting and inputting these constituent stocks of the BankNifty index, traders and investors can assess the individual performance of these banking stocks within the broader banking sector index. This analysis enables them to gauge market sentiments, identify trends, and make well-informed decisions regarding their trading or investment strategies in the banking sector.
Example: NAS100 Index and Its Constituents
Similarly, the NAS100 index, known as the NASDAQ-100, tracks the performance of the largest non-financial companies listed on the NASDAQ stock exchange. Prominent constituents of the NAS100 index include technology and consumer discretionary stocks such as:
Apple Inc. (AAPL)
Microsoft Corporation (MSFT)
Amazon.com Inc. (AMZN)
Alphabet Inc. (GOOGL)
Facebook Inc. (FB)
Tesla Inc. (TSLA)
NVIDIA Corporation (NVDA)
PayPal Holdings Inc. (PYPL)
Netflix Inc. (NFLX)
Adobe Inc. (ADBE)
By inputting these constituent stocks of the NAS100 index into the Index Constituent Analysis setting, traders and investors can analyze the individual performance of these technology and consumer discretionary stocks within the broader NASDAQ-100 index. This analysis facilitates the evaluation of market sentiments, identification of trends, and informed decision-making regarding trading or investment strategies in the technology and consumer sectors.
Example: FTSE 100 Index and Its Constituents
The FTSE 100 index represents the performance of the 100 largest companies listed on the London Stock Exchange (LSE) by market capitalization. Some notable constituents of the FTSE 100 index include:
HSBC Holdings plc
BP plc
GlaxoSmithKline plc
Unilever plc
Royal Dutch Shell plc
AstraZeneca plc
Diageo plc
Rio Tinto plc
British American Tobacco plc
Reckitt Benckiser Group plc
Timeframe Selection:
If a traders wshes to analyze the constituent in a higher timeframe they can simply switch to HTF from the dropdown without changing the chart timeframe.
Weight:
Weight needs to be a positive number when applied on the index future or call option charts.
Weight must be configured to a negative number when this indicator is applied on a put option chart (Put options move in the opposite direction compared to it's stock or index).
Happy Trading,
Price Legs: Average Heights; 'Smart ATR'Price Legs: Average Heights; 'Smart ATR'. Consol Range Gauge
~~ Indicator to show small and large price legs (based on short and long input pivot lengths), and calculating the average heights of these price legs; counting legs from user-input start time ~~
//Premise: Wanted to use this as something like a 'Smart ATR': where the average/typical range of a distinct & dynamic price leg could be calculated based on a user-input time interval (as opposed to standard ATR, which is simply the average range over a consistent repeating period, with no regard to market structure). My instinct is that this would be most useful for consolidated periods & range trading: giving the trader an idea of what the typical size of a price leg might be in the current market state (hence in the title, Consol Range gauge)
//Features & User inputs:
-Start time: confirm input when loading indicator by clicking on the chart. Then drag the vertical line to change start time easily.
-Large Legs (toggle on/off) and user-input pivot lookback/lookforward length (larger => larger legs)
-Small Legs (toggle on/off) and user-input pivot lookback/lookforward length (smaller => smaller legs)
-Display Stats table: toggle on/off: simple view- shows the averages of large (up & down), small (up & down), and combined (for each).
-Extended stats table: toggle on/off option to show the averages of the last 3 legs of each category (up/down/large/small/combined)
-Toggle on/off Time & Price chart text labels of price legs (time in mins/hours/days; price in $ or pips; auto assigned based on asset)
-Table position: user choice.
//Notes & tips:
-Using custom start time along with replay mode, you can select any arbitrary chunk of price for the purpose of backtesting.
-Play around with the pivot lookback lengths to find price legs most suitable to the current market regime (consolidating/trending; high volatility/ low volatility)
-Single bar price legs will never be counted: they must be at least 2 bars from H>>L or L>>H.
//Credits: Thanks to @crypto_juju for the idea of applying statistics to this simple price leg indicator.
Simple View: showing only the full averages (counting from Start time):
View showing ONLY the large legs, with Time & Price labels toggled ON:
Premium Smart Exit HMA [ByteBoost]The Premium Smart Exit HMA strategy is designed for fast-paced trend detection and is well-suited for small trades in highly volatile markets. It utilizes the Hull Moving Average (HMA) as a signal to execute trades and offers customizable inputs for price calculation, period settings, and stop loss/take profit levels. The strategy aims to reduce lag associated with traditional moving averages, allowing it to catch trends quickly.
Development Notes
This Strategy was developed with the PineScript language, version 5. The aim of the strategy is to provide a trading system that catches fast trend reversals and uses a modified version of the Hull Moving Average. The HMA adeptly adapts to swift variations in price movements while offering better smoothing and utilizes a user selected moving averages, mitigating the smoothing effect and is controlled with a custom weight design.
Features
Customizable trading periods.
Customizable stop loss and take profit levels.
Adjustable date range for backtesting.
Allows setting of initial capital, commission type and value.
Provides visual aids for better understanding of the market trends.
Customize the visuals of the strategy.
Strategy Description
The Smart Exit HMA strategy offers the flexibility to use various types of moving averages, allowing customization of inputs for price calculation, period settings, and stop loss/take profit levels. The strategy relies on the Hull Moving Average (HMA) as a signal to execute trades. However, you have control over the signal frequency by selecting your preferred period value, which determines the number of candles used in the average calculation. This allows you to adapt the strategy to market tendencies and increase its effectiveness during clear trends.
The Smart Exit HMA strategy is designed to minimize lag associated with traditional moving averages, enabling it to respond more quickly to recent price movements based on your chosen period. It's worth noting that the strategy plots two lines on the graph: the average line and the square root line. Buy and sell signals are generated when both lines intersect, indicating favorable trading opportunities.
Inputs/Settings
Capital - If using any leverage multiply the amount of money to invest by the leverage, else input the amount to be invested in every trade.
Start date - The date from which the strategy should begin its analysis. Leave unchanged to start from the earliest available date based on your account's plan.
End date - The date until which the strategy should conduct its analysis. Leave unchanged to continue until the current date.
Period - The lookback period for the moving average calculation, a longer period will translate into fewer trades that last longer.
Stop loss - Allows the use of a stop loss for all trades.
Take profit - Activates the use of a take profit for all trades.
Stop loss value - The distance from the entry price at which the strategy should exit to prevent further losses.
Take profit value - The distance from the entry price at which the strategy should exit to secure profits.
Take profit % - The percentage of the capital to take as profit.
Stop loss % - The percentage of the capital to set as the maximum loss.
Candles exit - The minimum number of candles before the strategy is allowed to close a trade.
Candles change - The minimum number of candles before the strategy is allowed to change the current trend.
Moving average type - Determines the preprocessing method applied prior to utilizing the HMA.
Custom weight - Enables the utilization of a personalized weighting system for the HMA. If chosen, ensure that the sum of all weights equals 1.
Open weight - Determines the weight assigned to the candle's open value.
Close weight - Specifies the weight assigned to the candle's close value.
High weight - Sets the weight attributed to the candle's high value.
Low weight - Determines the weight assigned to the candle's low value.
Highlighter - Light coloring between the trend and average price of each bar.
Signal labels - View the labels indicating a new long or short position.
Exit labels - Displays the labels indicating exit points.
Color long - Sets the color scheme for a new long position.
Color short - Sets the color scheme for a new short position.
Color exit - Decides the color scheme for the exit tag and cross shown.
Indicator Visuals
The strategy plots the two trendlines on the chart and changes its color based on its direction. It also plots shapes on the chart to denote potential buy (Long) and sell (Short) points where the signals of short and long will appear, as well as crosses for the exit points.
Strategy Alerts
The strategy does not include built-in alerts. However, alerts can be added using the TradingView interface based on the strategy's buy, sell and exit conditions. This way you will be able to receive notifications on your computer or phone when a new signal goes out.
Details
Repainting: It is important to mention that the strategy can mark an uptrend signal during a candle and disappear at the end of it, so please just put long or short when the buy/sell conditions are followed and marked by the strategy at the end of each candle.
Conclusion
The Premium Smart Exit HMA is a versatile strategy that combines the benefits of the Hull Moving Average with adjustable parameters to suit individual trading styles. It offers a combination of speed and smoothness, which can be beneficial in volatile markets.
Disclaimer
This strategy is provided as-is, with no guarantee of profits or responsibility for losses. Trading involves risk, and you should only trade with money you can afford to lose. Always conduct your own research and consider your financial situation before engaging in trading.
