Earthquake Effect by DGTInstitutional investors have a profound impact on financial instruments prices because of the large volume, and their trading activities can greatly impact the price of financial instruments. They sometimes may split trades over time in order to not make a material impact and of course not to decrease liquidity to the point where there may be no one to take the other side of the trade.
Institutional investors (Smart Money) may create an Elephant Effect on the prices of financial instruments, and this study aims to display by emphasizing high volume changes
In the memory of the North Anatolian Earthquake that struck on August 17, 1999, that we remember with pain today, and similarities of plotting outcomes to seismograph plotting I preferred to name this study as Earthquake Effect (SEISMOGRAPH)
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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Badshai Trading ToolsBadshai Trading Tools is the tool where Buy and sell signals generates automatically according to the candles behavior.
It uses WD Gann Levels to calculate entry point with the help of VWAP .
Pivot points determines the recent support and resistance levels.
Trading rule for this indicator
This indicator is designed for Indian equity stocks
Best performance is expected on 10 minutes chart basic user can use 5 minutes chart for stock value less than 500 rupees, else 15 minutes chart
Plotted line shows the market sentiment, green for buy, red for sell and black for neutral market.
Order thumb rule
For buy signals there is a up triangle in green color
For sell signal there is a down triangle in red color
1. avoid any trade signal before 9:35 AM Indian time
2. signal and related stop loss candle must be formed in the same day
3. if order placed in 5 minutes chart then don't go for a target of 15 minutes chart
4. if order placed in 15 minutes time frame and target is too far then check the target in 5 minutes time frame
5. if signal candle touches the target then avoid the signal.
6. Money management is most important for this indicator.
7. Take trade only if it satisfy risk reward ratio.
8. It has long target but need patience.
Signal
using vwap calculates gann square of 9 levels and if any smart money activity on that level then checks the confirmation of the trend by higherhigh or lowerlow formation
Buy Entry : entry price should be on the high of the candle before signal for buy and sl on bottom of flagged candle just before signal
SellEntry : entry price should be on the low of the candle before signal for sell and sl on top of flagged candle just before signal
Please add some extra value to the Stop Loss for safe trading
Warning : Don't place any order without stop loss, This tool is made for educational and learning purpose only, take any trade at your own risk.
Intraday Masters AnalogyIntraday Masters Analogy is the tool where Buy and sell signals generates automatically according to the candles behavior.
It uses WD Gann Levels to calculate entry point with the help of VWAP.
Zigzag trend lines shows the momentum behavior for last few days and shows whether it following current trend or building new trend.
Pivot points determines the recent support and resistance levels.
Trading rule for this indicator
This indicator is designed for Indian equity stocks
Best performance is expected on 5 minutes chart or 15 minutes chart
Order thumb rule
1. avoid any trade signal before 9:35 AM Indian time
2. signal and and related stop loss candle must be formed in the same day
3. if order placed in 5 minutes chart then don't go for a target of 15 minutes chart
4. if order placed in 15 minutes time frame and target is too far then check the target in 5 minutes time frame
5. if signal candle touches the target then avoid the signal.
6. Money management is most important for this indicator.
7. Take trade only if it satisfy risk reward ratio
Signal
using vwap calculates gann square of 9 levels and if any smart money activity on that level then checks the confirmation of the trend by higherhigh or lowerlow formation
Buy Entry : entry price should be on the high of the candle before signal for buy and sl on bottom of flagged candle just before signal
SellEntry : entry price should be on the lowof the candle before signal for sell and sl on top of flagged candle just before signal
Warning : Don't place any order without stop loss
MCDX SmartMoneyHot Money Indicator is an indicator based on specific formula to detect Institutional/Banker investor activities..
Red means Smart Money Flowing in
Green means Retailer
Preferable to have RED more than GREEN to go long.
BullTrading Market StructureThere are many paths for profitability in the markets, but understanding the framework in which Smart Money operates is one valuable way to simplify the process, no matter if you are a scalper or a swing trader, by applying this concepts in your trading you will dramatically improve your performance (BullTrading will publish a book very soon).
BullTrading Market Structure is a background indicator that will display in your charts a Weekly Envelope, Daily Highs and Lows, end of Weeks and Days.
In order to properly visualize the indicator you will need to adjust the preferred colors and Format of your Chart Layout, simply click the small gear located at the top left corner from your charts, select "Background" and set the Vertical and Horizontal Grid transparency to 100%, also you must set and verify your individual timezone settings.
Best Regards
The BullTrading Team
Ultra Smart Money Detection System v2.0Ultra Smart Money Detection System v2.0 - Complete Guide
What This Script Does
This is a TradingView Pine Script indicator that acts like a "financial detective" - it analyzes multiple clues in the market to figure out when big institutional investors (banks, hedge funds, mutual funds) are buying or selling stocks. Think of it as having a radar that spots where the "smart money" is moving.
Key Concepts
1. Smart Money vs Retail Money
Smart Money: Large institutions with millions/billions to invest
Retail Money: Individual investors like you and me
Why It Matters: Institutions often know things first and move markets
2. Volume: The Fuel of Price Movement
Volume = How many shares are traded
High Volume = Lots of interest/activity
Low Volume = Not much happening
Key Insight: Price moves are more meaningful when backed by high volume
Main Components Explained
📊 Volume Spread Analysis (VSA)
What It Does: Analyzes the relationship between price movement and volume
Key Patterns:
Accumulation: Big players buying quietly (high volume, small price drop)
Distribution: Big players selling quietly (high volume, small price rise)
Volume Climax: Extreme volume spikes indicating major moves
Look for VSA+ or VSA- signals on your chart
📈 Liquidity Gaps Detection
What It Does: Identifies price gaps that create trading opportunities
Types:
Gap Up: Stock opens higher than previous close
Gap Down: Stock opens lower than previous close
Gap Fill: Price returns to fill the empty space
Gaps often get "filled" - providing trading opportunities
🏢 Institutional Volume Footprint
What It Does: Tracks buying vs selling pressure from institutions
Key Metrics:
Order Flow Imbalance: Who's winning - buyers or sellers?
Accumulation Zone: Institutions are buying
Distribution Zone: Institutions are selling
Green zones = institutions buying, Red zones = institutions selling
💪 Relative Strength Comparison
What It Does: Compares your stock's performance to a benchmark (like NIFTY)
Key Points:
Outperforming: Stock doing better than market
Underperforming: Stock doing worse than market
Inline: Stock moving with the market
You want stocks that outperform the market
🔄 Volatility Contraction Pattern (VCP)
What It Does: Identifies stocks getting ready to make big moves
The Pattern:
Stock moves up
Stock consolidates (trades sideways with decreasing volatility)
Stock breaks out with volume
VCP setups often lead to significant price moves
💰 Money Flow Analysis
What It Does: Tracks where money is flowing in/out of the stock
Key Indicators:
A/D Line: Accumulation/Distribution
OBV: On-Balance Volume
Divergences: When price and volume disagree
Follow the money - it usually leads to price movement
Understanding the Dashboard
The script creates a comprehensive dashboard showing:
Signal Strength Levels:
🔥 STRONG BUY/SELL: High confidence (4+ signals aligned)
BUY/SELL: Moderate confidence (2-3 signals)
WATCH: Interesting setup developing
WAIT: No clear direction
Key Dashboard Sections:
Master Signal: Overall recommendation
Market Trend: Which direction is the market going?
VSA Analysis: What's the volume telling us?
Relative Strength: How's this stock vs the market?
Institution Zone: Are big players buying or selling?
Volume: Is there unusual activity?
Smart Money Flow: Where's the money going?
VCP Pattern: Any breakout setups?
Price Action: Technical levels and trends
Liquidity Gaps: Any gap trading opportunities?
How to Use This for Trading
For Traders:
1. Start Simple:
Focus on the Master Signal first
Look for 🔥 STRONG signals for highest probability trades
Avoid trading when dashboard shows "WAIT"
2. Confirm with Multiple Signals:
Don't trade on one signal alone
Look for 3+ green lights in the dashboard
Higher confidence = better trade setup
3. Follow the Volume:
Big moves need big volume
Volume surges often precede price moves
Volume climax can signal trend changes
4. Watch Institution Activity:
Accumulation zones = potential buying opportunities
Distribution zones = potential selling opportunities
Follow where institutions are putting their money
Entry Strategies:
For Bullish Trades:
✅ Master Signal shows BUY or STRONG BUY
✅ Market Trend is UPTREND
✅ VSA shows BULLISH
✅ Institution Zone shows ACCUMULATION
✅ Volume is HIGH or SURGE
✅ Relative Strength shows OUTPERFORM
For Bearish Trades:
❌ Master Signal shows SELL or STRONG SELL
❌ Market Trend is DOWNTREND
❌ VSA shows BEARISH
❌ Institution Zone shows DISTRIBUTION
❌ Volume is HIGH or SURGE
❌ Relative Strength shows UNDERPERFORM
Risk Management Tips
1. Position Sizing:
Larger positions for 🔥 STRONG signals
Smaller positions for moderate signals
No positions when confidence is LOW
2. Stop Losses:
Always use stop losses
Place below key support levels
Adjust based on volatility (ATR)
3. Take Profits:
Scale out of positions as they move in your favor
Don't get greedy on 🔥 STRONG signals
Book partial profits at resistance levels
Common Patterns to Watch For
1. The Perfect Storm 🔥:
VCP breakout + Volume surge + Institution accumulation + Strong relative strength
These setups have highest success rates
2. Gap and Go:
Significant gap up + High volume + VSA bullish
Often continues in gap direction
3. Divergence Plays:
Price makes new low, but OBV makes higher low
Often signals trend reversal
4. Volume Climax:
Extreme volume spike
Often marks short-term tops/bottoms
Alert System
The script includes alerts for:
High confidence signals
VCP breakouts
Volume climaxes
Institution zone changes
Gap formations
Divergence patterns
Customization Options
You Can Adjust:
Sensitivity: Higher values = fewer but stronger signals
Timeframes: Match your trading style
Colors: Customize to your preference
Dashboard: Show/hide different components
Recommended Settings :
Keep default settings initially
Focus on learning to read the signals
Gradually adjust as you gain experience
Common Mistakes to Avoid
1. Overtrading:
Don't trade every signal
Wait for high-confidence setups
Quality over quantity
2. Ignoring Market Context:
Don't fight the overall trend
Be extra careful in ranging markets
Consider broader market conditions
3. Not Using Stop Losses:
Always protect your capital
No signal is 100% accurate
Cut losses quickly, let winners run
4. Chasing Signals:
Don't enter after big moves
Wait for pullbacks or consolidation
Be patient for better entries
Practice Recommendations
1. Paper Trading:
Practice with virtual money first
Test the signals without risk
Build confidence before risking real money
2. Back-testing:
Look at historical signals
See how they performed
Learn from past patterns
3. Start Small:
Use small position sizes initially
Focus on learning, not earning
Gradually increase size as you improve
Final Tips for Success
Be Patient: Wait for high-quality setups
Stay Disciplined: Follow your rules consistently
Keep Learning: Markets evolve, so should you
Manage Risk: Protect your capital above all
Stay Objective: Don't let emotions drive decisions
Remember: This indicator is a tool to help you make better decisions, not a magic formula that guarantees profits. Always combine technical analysis with fundamental research and proper risk management.
The smart money leaves clues - this script helps you find them! 🕵️♂️💰
Miami Smart MA v1 [CryptoSmart] by Ignotus# Miami Smart Bands v1
**Author:** Ignotus
**Version:** v1.0
**Language:** Pine Script v6
**Type:** Overlay indicator
**Visibility:** Private (Code protected)
## Overview
*Miami Smart Bands v1* is a proprietary technical analysis tool developed by our community for internal use. It combines adaptive moving average logic to help traders identify dynamic trend zones and potential reversal points on price charts.
This script is published with **protected source code**, as it contains logic exclusive to our members and is part of a broader trading methodology used within the group.
## Features
- **Two adaptive moving bands**:
- `MA SLOW`: A modified Hull Moving Average (HMA) with tripled period length for smoother long-term trend identification.
- `MA FAST`: A Triple Hull Moving Average (THMA-style) with half-length sensitivity for quicker reactions to short-term price action.
- **Smart candle coloring**:
- Green when price is above both moving averages.
- Red when price is below both.
- Orange when price is between them.
- Fully toggleable via input switch.
- **Watermark integration**:
- Semi-transparent watermark with ticker symbol and timeframe.
- Designed for professional charting and internal use only.
## How It Works
The indicator calculates two unique moving average lines:
1. **MA SLOW**: Applies a Hull Moving Average with a period of `200 * 3` for reduced lag and smoother trend readings.
2. **MA FAST**: Applies a Triple Hull Moving Average logic with a period of `55 * 0.5`, offering faster responses to market shifts.
Based on the relationship between price and these bands, the candles are colored accordingly to enhance visual interpretation.
## Community Use Only
This indicator is **part of a strategy developed exclusively by our community**. Its design and usage are tailored for members who have access to the full methodology behind it.
> ⚠️ This tool is not intended for general public use without context. Interpretation of signals requires prior understanding of the strategy it supports.
## Why This Indicator Is Unique
Unlike publicly available tools, *Miami Smart Bands v1* was designed specifically to align with a private trading framework used internally by our group. While based on known techniques like HMA and THMA, the way they are combined and applied is unique to our approach and not available in the public Pine Script library.
## Inputs Available
- Candle coloring toggle
- Color customization for bands and candles
- Watermark is integrated visually but hidden from inputs
## Notes
This version is published privately and contains **protected source code**. The logic behind this indicator is shared solely with members of our community and is not intended for redistribution or commercial resale.
---
📈 *Use this indicator at your own risk. Past performance does not guarantee future results.*
Liquidity Levels (Smart Swing Lows)Liquidity Levels — Smart Swing Low Detection
Efficient Liquidity Sweep Visualization for Smart Money Traders
This script automatically identifies and plots liquidity-rich swing lows based on pivot logic, filters them to remove redundant levels, and overlays daily highs/lows for added context — giving Smart Money Concept (SMC) traders a clean, actionable map of liquidity.
It’s designed to be minimal yet powerful: perfect for spotting potential liquidity grabs, mitigation zones, and sweep targets with zero chart clutter.
🔍 What This Script Does:
Detects Smart Swing Lows
Uses fixed pivot detection (left = 3, right = customizable) to identify structurally significant swing lows.
Filters out swing lows that are too close together using a percentage-based spacing threshold to reduce noise.
Mitigation Cleanup Logic
Tracks whether recent price action breaches past swing lows.
If breached, the swing level is automatically removed, keeping only relevant, unmitigated liquidity levels on your chart.
Plots Daily Highs and Lows
Each new trading day, horizontal rays mark the prior day’s high and low — useful for identifying resting liquidity and possible sweep zones.
Labeling and Style Customization
Optional labels for swing lows.
Full control over label size, color, and visibility to match any chart aesthetic.
Timeframe Filtering
Runs exclusively on 5m, 10m, and 15m charts to ensure optimal reliability and signal clarity.
⚙️ Customization Features:
Pivot sensitivity (Right side control)
Minimum distance between swing lows (in %)
Label visibility, size, and color
Line width and colors for both swing levels and daily highs/lows
Mitigation cleanup lookback length
💡 How to Use:
Add the script to a qualifying intraday chart (5–15m).
Use the swing low levels to monitor liquidity-rich zones.
Combine with your personal strategy to identify liquidity grabs, potential reversal zones, or entry points following a sweep.
Let the built-in cleanup logic remove any already-mitigated levels so you can focus on active targets.
🚀 What Makes It Unique:
This isn’t just another pivot plotter — it’s a smart, self-cleaning SMC tool designed for modern liquidity-based trading strategies.
A must-have for traders using concepts like liquidity grabs, mitigation blocks, or sweep-to-reverse trade models.
🔗 Best used in combination with:
✅ First FVG — Opening Range Fair Value Gap Detector: Pinpoint the day’s first imbalance zone for intraday setups.
✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels: Confluence-based entries powered by liquidity logic, order blocks, and premium/discount zones.
Used together, these scripts form a complete Smart Money toolkit — helping you build high-probability setups with confidence, clarity, and clean charts.
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
Wyckoff Range Detector [Beta] + Smart Money ElementsThis indicator detects the key phases of the Wyckoff market structure and integrates smart money elements, such as Order Blocks (OB), Fair Value Gaps (FVG), and Breaker Blocks. It also helps identify potential reversal zones (LPS, UTAD, Spring), breakout opportunities, and provides automatic Risk-Reward (R:R) calculations.
Key Features:
Wyckoff Phases Detection:
Automatically detects key phases of Wyckoff's market structure:
B (Range) – The initial range of accumulation.
C (Spring Phase) – Accumulation phase with a potential breakout.
C (UTAD Phase) – Upthrust After Distribution, indicating a potential reversal.
D (LPS Phase) – Last Point of Support, signaling accumulation before a breakout.
E (Breakout) – Phase marking breakout from range.
Re-Accumulation – Possible continuation in the range after a breakout.
Re-Distribution – Possible breakdown of a distribution phase.
Smart Money Elements:
Order Blocks (OB): Identifies Bullish and Bearish OBs to anticipate market entries.
Fair Value Gap (FVG): Highlights imbalance areas where price is likely to return.
Breaker Blocks: Marks areas where the price has previously broken a structure, indicating strong supply/demand zones.
Automatic Risk-Reward Calculation:
Smart RR: Automatically calculates Risk-Reward (R:R) ratios from LPS phases and Order Blocks. It draws lines to indicate target and stop levels with green for the target and red for the stop.
Visual representation of the entry signal with target and stop levels displayed.
Alerts:
Set alerts for phase changes, breakout, re-accumulation, or re-distribution to stay updated on the market’s movements.
Visual Tools:
Labels are used to indicate key zones such as AR, SC, LPS, and Spring Zones.
Draw boxes for the Spring and LPS phases to highlight areas where price action is likely to reverse.
Lines to represent potential breakouts, with customizable risk-reward indicators.
How to Use:
Apply the Indicator on any chart.
Identify Wyckoff phases to understand market trends.
Monitor Smart Money Elements (OB, FVG, Breaker) for entry and exit points.
Use automatic Risk-Reward levels for managing trades.
Set alerts for various Wyckoff phases and smart money signals to stay updated.
RSI+ Crypto Smart Strategy by Ignotus ### **RSI+ Crypto Smart Strategy by Ignotus**
**Description:**
The **RSI+ Crypto Smart Strategy by Ignotus** is an advanced and visually enhanced version of the classic **Relative Strength Index (RSI)**, developed by the **Crypto Smart** community. This indicator is designed to provide traders with a clear and actionable view of market momentum, overbought/oversold conditions, and potential reversal points. With its sleek design, customizable settings, and intuitive visual signals, this tool is perfect for traders who want to align their strategies with the principles of the **Crypto Smart** methodology.
Whether you're a beginner or an experienced trader, this indicator simplifies technical analysis while offering powerful insights into market behavior. It combines traditional RSI calculations with advanced visual enhancements and natural language interpretations, making it easier than ever to interpret market conditions at a glance.
---
### **Key Features:**
1. **Enhanced RSI Visualization:**
- The RSI line dynamically changes color based on its position relative to the 50-level midpoint:
- **Green** for bullish momentum (RSI > 50).
- **Red** for bearish momentum (RSI < 50).
- Overbought (default: 70) and oversold (default: 30) levels are clearly marked with customizable colors and shaded clouds for better visibility.
2. **Customizable Settings:**
- Adjust the RSI period, overbought/oversold thresholds, and background transparency to match your trading style.
- Fine-tune pivot lookback ranges and other parameters to adapt the indicator to different timeframes and assets.
3. **Interactive Information Table:**
- A compact, easy-to-read table provides real-time data on the current RSI value, its direction (▲, ▼, →), and a natural language interpretation of market conditions.
- Choose from three text sizes (small, medium, large) to optimize readability.
4. **Natural Language Interpretations:**
- The indicator includes a detailed explanation of the RSI's current state in plain English:
- Momentum trends (bullish, bearish, or neutral).
- Overbought/oversold warnings with potential reversal alerts.
- Clear guidance on whether the market is trending or ranging.
5. **Visual Buy/Sell Signals:**
- Triangles (▲ for buy, ▼ for sell) highlight potential entry and exit points based on RSI crossovers and divergence patterns.
- Configurable alerts notify you in real-time when key signals are triggered.
6. **Improved Aesthetics:**
- Clean, modern design with customizable colors for lines, clouds, and backgrounds.
- Dynamic shading and transparency options enhance chart clarity without cluttering the workspace.
---
### **How to Use This Indicator:**
- **Overbought/Oversold Zones:** Use the RSI's overbought (above 70) and oversold (below 30) zones to identify potential reversal points. Look for confirmation from price action or other indicators before entering trades.
- **Momentum Analysis:** Monitor the RSI's position relative to the 50-level midpoint to gauge bullish or bearish momentum.
- **Trend Identification:** Combine the RSI's readings with price trends to confirm the strength and direction of the market.
- **Entry/Exit Signals:** Use the visual signals (triangles) to spot potential entry and exit points. These signals are particularly useful for swing traders and scalpers.
---
### **Why Choose RSI+ Crypto Smart Strategy?**
This indicator is more than just an RSI—it's a complete tool designed to streamline your trading process. By focusing on clarity, customization, and actionable insights, the **RSI+ Crypto Smart Strategy** empowers traders to make informed decisions quickly and confidently. Whether you're trading cryptocurrencies, stocks, or forex, this indicator adapts seamlessly to your needs.
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### **Developed by Crypto Smart:**
The **RSI+ Crypto Smart Strategy by Ignotus** is part of the **Crypto Smart** ecosystem, a community-driven initiative aimed at providing innovative tools and strategies for traders worldwide. Our mission is to simplify technical analysis while maintaining the depth and precision required for successful trading.
If you find this indicator helpful, please leave a review and share it with fellow traders! Your feedback helps us continue developing cutting-edge tools for the trading community.
---
### **Disclaimer:**
This indicator is a technical analysis tool and should not be considered financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and consult with a financial advisor before making trading decisions. Use of this indicator is at your own risk.
Trailing Stop Loss Smart [TradingFinder] Market Trend + CVD/EMA🔵 Introduction
Trailing Stop Loss (TSL) is one of the most powerful tools available. A Trailing Stop Loss is a modification of a typical stop order that adjusts dynamically based on market price movement. It can be set at a defined percentage or dollar amount away from the security's current market price, making it a flexible tool for locking in profits while minimizing risk. Unlike standard stop-loss orders, a Trailing Stop follows the market in the direction of the trade, protecting gains without requiring constant manual adjustments.
The Trailing Stop Loss Smart (TFlab Trailing Stop) indicator takes this concept even further by incorporating advanced metrics like Cumulative Volume Delta (CVD), volume dynamics, and Average True Range (ATR). This combination not only enhances risk management but also acts as a trend identifier, providing traders with a powerful tool to capitalize on both short-term and long-term price movements.
This indicator also supports various Order Types, allowing for flexible strategies that include a trailing stop/stop-loss combo to maximize winning trades while minimizing losses. The trailing stop limit is particularly useful for traders who want to set their stop at a precise level relative to the current market price, either by a percentage or a dollar amount. The Trailing Stop Loss Smart indicator can help ensure that traders do not exit too early during trends, while the stop-loss feature kicks in during reversals.
The advantages of using a Trailing Stop Loss are its ability to protect profits and reduce the emotional decision-making process in volatile markets. However, like all trading strategies, it has disadvantages, such as the risk of triggering too early during normal market fluctuations. By understanding how the Trailing Stop Loss Smart indicator integrates features like CVD, ATR, and volume analysis, traders can leverage its full potential while navigating these pros and cons.
With its unique ability to track market movements and trends using Cumulative Volume Delta, volume dynamics, and ATR-based trailing stops, this indicator offers a complete solution for traders looking to secure profits while minimizing downside risk. Whether you're employing a simple trailing stop or a trailing stop/stop-loss combo, this tool provides all the flexibility and precision needed to execute winning trades in various markets, including Forex, Crypto, and Stock.
🔵 How to Use
The Trailing Stop Loss Smart indicator integrates multiple advanced components to provide traders with superior risk management and trend identification.
Here’s how each part of the logic works :
🟣 Cumulative Volume Delta (CVD) Logic
The CVD tracks buying and selling pressure by calculating the difference between upward and downward price movements. When there’s more buying pressure, the CVD is positive, indicating a potential bullish trend. Conversely, more selling pressure results in a negative CVD, pointing to a bearish trend.
CVD Trend Detection : The indicator determines whether the market is in a bullish or bearish phase by comparing the CVD to its moving average. A bullish trend is confirmed when the CVD is above its moving average and the price is closing higher.
A bearish trend occurs when the CVD is below its moving average and the price is closing lower. This trend detection is critical for determining whether the trailing stop should be placed below the price (bullish) or above it (bearish).
🟣 Volume Dynamics
Volume is a key factor in identifying market strength. The Trailing Stop Loss Smart indicator pulls volume data based on the market selected (Forex, Crypto, or Stock) and adjusts the trailing stop based on whether the market is experiencing high volume or low volume.
High Volume : When the current volume exceeds the average volume, the market is in a high-volume state. During these conditions, the trailing stop is placed closer to the price, as high volume often indicates strong trends with less chance of reversals.
Low Volume : In low-volume conditions, the trailing stop gives the market more room to breathe by placing the stop further away from the price. This prevents premature stop-outs in periods of reduced market activity.
🟣 ATR-Based Trailing Stop
The Average True Range (ATR) is used to measure market volatility. The Trailing Stop Loss Smart uses the ATR to dynamically adjust the stop-loss distance.
Bullish Market : When a bullish trend is detected, the trailing stop is placed below the lowest price of the recent bars (determined by the Bar Back parameter), and adjusted by the ATR Multiplier. This allows for tighter protection during strong bullish trends.
Bearish Market : When the market is bearish, the trailing stop is placed above the highest price of recent bars, also adjusted by the ATR Multiplier. This ensures that short positions are safeguarded against sudden reversals.
🟣 Dynamic Stop-Loss Updates
The trailing stop is updated every few bars (according to the Refiner parameter), ensuring it remains relevant to the most recent price action and volume changes. This dynamic feature ensures the stop-loss adapts to both trending and volatile market conditions, without requiring manual intervention.
High Volume with Trends : In periods of high volume and a confirmed trend, the stop-loss is positioned tightly to lock in profits while minimizing the risk of reversal.
Low Volume with Trends : In low-volume conditions, the stop-loss is placed further from the price, allowing the market to move freely without triggering premature exits.
🟣 Visual Representation
The indicator visually represents the trailing stop on the chart, with green lines indicating bullish trends and red lines for bearish trends. This visual aid helps traders quickly assess the state of the market and the position of their trailing stop in real-time.
🔵 Settings
The Trailing Stop Loss Smart indicator offers several customizable settings to suit various trading strategies. Understanding these inputs is key to optimizing the tool for your specific trading style.
🟣 General Settings
Cumulative Mode : This controls how the CVD is calculated.
You can choose between :
EMA : Exponential Moving Average smoothing.
Periodic : Sums the delta over a fixed period.
CVD Period : Defines the look-back period for CVD calculation. A longer period smooths the data, making it less sensitive to short-term fluctuations.
Ultra Data : This Boolean input aggregates volume across multiple exchanges for a more comprehensive view of market activity.
Market Ultra Data : Select between Forex, Crypto, and Stock to ensure the indicator pulls accurate volume data for your market.
🟣 Logical Settings
Moving Average CVD Period : Defines the period for the moving average of the CVD. A longer period smooths the trend, reducing noise.
Moving Average Volume Period : Sets the period for the moving average used to distinguish between high and low volume conditions.
Level Finder Bar Back : Determines how many bars to look back when identifying the highest or lowest price for trailing stop placement.
Levels update per candles : Sets how often (in bars) the trailing stop should be updated to remain in sync with market movements.
ATR On : Toggles the use of ATR to adjust the trailing stop based on volatility.
ATR Multiplie r: Defines how far the stop is placed from the price based on the ATR. A larger multiplier increases the stop distance, reducing the likelihood of getting stopped out during market fluctuations.
ATR Multiplier Adjusts the distance of the trailing stop based on the ATR. A higher multiplier places the stop further from the price, providing more breathing room in volatile markets.
🔵 Conclusion
The Trailing Stop Loss Smart indicator is a comprehensive tool for traders looking to manage risk while identifying market trends. By incorporating Cumulative Volume Delta (CVD) to detect buying and selling pressure, volume dynamics to gauge market activity, and ATR to adjust for volatility, this indicator ensures that stop-loss levels are both adaptive and protective.
Whether you’re trading in Forex, Crypto, or Stock markets, the Trailing Stop Loss Smart allows you to capitalize on trends while dynamically adjusting to changing market conditions. Its ability to distinguish between high-volume and low-volume periods ensures that you’re not stopped out prematurely during periods of consolidation or market hesitation.
By providing real-time visual feedback, dynamic adjustments, and trend identification, this indicator serves as a vital tool for traders aiming to maximize profits while minimizing risk. Its versatility and adaptability make it an essential part of any trader’s toolkit, helping you stay ahead in fast-moving markets while safeguarding your positions.
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,
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.
ORB Smart Candle finder [With Volume Candle] with EXTENDOpening Range Breakout (ORB) Smart Candle Finder Indicator - finds first smart candle of the day and make it a label to trade at its higher or lower levels. You can adjust the size of smart candle as well as the Volume levels to detect smart candle.
DH: (Study) Super Smart SuperTrend: Self AdjustingSUPER SMART SUPERTREND (Study Version w/Alerts)
Using data from other indicators I came up with a SMART SUPERTREND that auto-adjusts as the market changes - shall we call it "Artificial Intelligence?" Yes, you can fine tune it for specific assets and timeframes, but once the settings are entered, it auto-adjusts as the market and prices evolve.
This is the STUDY version of "Super Smart SuperTrend" with ALERTS. There is also a STRATEGY version which is designed for backtesting various settings.
STRATEGY VERSION FOR BACKTESTING IS HERE
ABOUT THIS INDICATOR
As the name suggests, 'Supertrend' is a trend-following indicator that is notably popular here on Tradingview and elsewhere. It does a remarkably great job of recognizing a trend (in progress) and it will signal you to initiate a position when the trend is clear. Perhaps the greater value of Supertrend is that it helps keep you in your position until that trend is over.
WHAT'S THE BEST ATR PERIOD AND MULTIPLIER?
There are two important data points we must enter for Supertrend to work, namely the 'period (ATR number of candles or days)' and the 'multiplier (value by which ATR is multiplied)' BTW, in case you don't know, ATR signals the degree of price volatility. A common default setting is 10 for the ATR period and 3 for the multiplier.
SORRY, BUT THE MOVIE STARTED HALF HOUR AGO...
Unfortunately Supertrend has a couple of big weaknesses. Generally, it fails in a sideways-moving market and when it does detect a trend, the signal to get in (or out) comes rather late. It's like someone telling you about a great movie they're watching, but by the time you start watching, one-third of the movie is over... bummer, right?
HOW TO IMPROVE SUPERTREND
One solution is to combine Supertrend with other indicators such as MACD, Parabolic SAR, RSI, etc. And another solution is to experiment (backtest) with the Period and Multiplier settings for the asset and timeframe you are considering for trade.
For the STANDARD SETTINGS in this "Super Smart SuperTrend" indicator, I have set 9 for the ATR and 2.2 for the multiplier as default after backtesting on Bitcoin and other crypto (mostly in the 15 minute to 6 HOUR timeframe). Of course you can change this easily to any ATR period and Multiplier you like.
BUT... WHY NOT GET SMART?
I started thinking, it might be best if we let the market determine candle-by-candle what the settings should be. If everyone says that Supertrend works best in conjunction with other indicators, why not do our "conjuncting" programmatically (ie: automatically) sorta like artificial intelligence!
HOW IT WORKS
So here's what I did. Using data from other indicators I came up with a SMART SUPERTREND that auto-adjusts as the market changes. It still has settings so you can fine tune it for specific assets and timeframes, but once the settings are entered, it auto-adjusts as the market and prices evolve.
With "Super Smart SuperTrend" there is no ATR period setting (that is determined programmatically) and now there are TWO multipliers you can experiment with... (a lower one set at 1.7 default and a higher one at 2.5). These multiplier settings create a multiplier range that can be used programmatically to adjust the multiplier as the market and prices evolve.
THE RESULTS
Across all time frames and assets I've tested, I generally get better results. Better entries, better exits and well defined trends. In comparison with a STANDARD Supertrend, it is not radically different, but when it does differ "Super Smart SuperTrend: is almost always better. All this is substantiated by backtesting of course.
SAMPLE BACKTEST RESULTS (BTC/USD)
Using Indicator Defaults
TIMEFRAME STANDARD RESULTS SUPER SMART RESULTS
% Profitable | Profit Factor % Profitable | Profit Factor
DAY 58.33% 9.38 75.00% 10.77
4 HOUR 78.43% 18.22 80.95% 21.78
1 HOUR 74.11% 8.98 70.13% 9.34
15 MIN 58.10% 6.10 71.43% 9.48
Keep in mind that "Profit Factor" is key. It basically tells you what you'd make for every ONE DOLLAR invested by consistently trading with the backtested parameters.
SUPER SMART SUPERTREND FEATURES
• There is a STUDY VERSION w/Alerts
• There is a STRATEGY VERSION for Backtesting
• Standard 'Current Time Frame' SuperTrend Line
• Standard 'Higher Time Frame' SuperTrend Line
• Auto-Adjusting Dynamic Optimized SuperTrend Line
> Most Signals Are Same or Better than Standard
> Refine Results w/Sensitivity Inputs (2 Multipliers)
> Impressive Comparison Backtests
• Both Standard and Smart Signals and Alerts
• Toggle Any Line/Signal (On/Off)
• Toggle Backtest
> Standard vs. "Smart Auto-Adjust"
> Backtest Higher Timeframe Only
WHAT MORE COULD YOU ASK FOR?
So glad you asked. Actually, there is more... Super Smart SuperTrend is incorporated into my premier indicator set called: STONEHENGE PLUS: SUPERTREND TRADING TOOLKIT.
With STONEHENGE, I'm combining this Super Smart SuperTrend with dozens of other indicators plus predictive "Stones." Check out STONEHENGE... you'll be in Trader's Heaven.
That's it. Get "SMART" Today!
STONEHENGE PLUS:
The Complete SuperTrend Trading Toolkit
SUPER SMART SUPERTREND ALSO WORKS WITH:
STONEHENGE BASIC: Double Stone Version (Study w/Alerts):
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PLEASE HIT THE LIKE BUTTON (and follow me... lots of great stuff in the works!)
As always, I appreciate your support. Please share with others.
ENJOY!
Dan Hollings
Master Crypto Grid Trader
Stonehenge Master Mason
Host of the "High Leverage Lounge"
Please Explore My Other Indicators, Scripts, Grids and Educational Ideas.
@DanHollings on Tradingview.
Additional Links Below...
[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.
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.
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:
