NDX Scalping StrategySignals Long and Short Entries using moving averages with profit targets on NDX
Educational
Quarterly Theory ICT 02 [TradingFinder] True Open Session 90 Min🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system built on ICT (Inner Circle Trader) concepts and fractal time. It divides time into four quarters (Q1, Q2, Q3, Q4), and is designed based on the consistent repetition of these phases across all trading timeframes (annual, monthly, weekly, daily, and even shorter trading sessions).
Each cycle consists of four distinct phases: the first phase (Q1) is the Accumulation phase, characterized by price consolidation; the second phase (Q2), known as Manipulation or Judas Swing, is marked by initial false movements indicating a potential shift; the third phase (Q3) is Distribution, where price volatility peaks; and the fourth phase (Q4) is Continuation/Reversal, determining whether the previous trend continues or reverses.
🔵 How to Use
The central concept of this strategy is the "True Open," which refers to the actual starting point of each time cycle. The True Open is typically defined at the beginning of the second phase (Q2) of each cycle. Prices trading above or below the True Open serve as a benchmark for predicting the market's potential direction and guiding trading decisions.
The practical application of the Quarterly Theory strategy relies on accurately identifying True Open points across various timeframes.
True Open points are defined as follows :
Yearly Cycle :
Q1: January, February, March
Q2: April, May, June (True Open: April Monthly Open)
Q3: July, August, September
Q4: October, November, December
Monthly Cycle :
Q1: First Monday of the month
Q2: Second Monday of the month (True Open: Daily Candle Open price on the second Monday)
Q3: Third Monday of the month
Q4: Fourth Monday of the month
Weekly Cycle :
Q1: Monday
Q2: Tuesday (True Open: Daily Candle Open Price on Tuesday)
Q3: Wednesday
Q4: Thursday
Daily Cycle :
Q1: 18:00 - 00:00 (Asian session)
Q2: 00:00 - 06:00 (True Open: Start of London Session)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90 Min Asian Session :
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00 (True Open at 19:30)
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
90 Min London Session :
Q1: 00:00 - 01:30
Q2: 01:30 - 03:00 (True Open at 01:30)
Q3: 03:00 - 04:30
Q4: 04:30 - 06:00
90 Min New York AM Session :
Q1: 06:00 - 07:30
Q2: 07:30 - 09:00 (True Open at 07:30)
Q3: 09:00 - 10:30
Q4: 10:30 - 12:00
90 Min New York PM Session :
Q1: 12:00 - 13:30
Q2: 13:30 - 15:00 (True Open at 13:30)
Q3: 15:00 - 16:30
Q4: 16:30 - 18:00
Micro Cycle (22.5-Minute Quarters) : Each 90-minute quarter is further divided into four 22.5-minute sub-segments (Micro Sessions).
True Opens in these sessions are defined as follows :
Asian Micro Session :
True Session Open : 19:30 - 19:52:30
London Micro Session :
T rue Session Open : 01:30 - 01:52:30
New York AM Micro Session :
True Session Open : 07:30 - 07:52:30
New York PM Micro Session :
True Session Open : 13:30 - 13:52:30
By accurately identifying these True Open points across various timeframes, traders can effectively forecast the market direction, analyze price movements in detail, and optimize their trading positions. Prices trading above or below these key levels serve as critical benchmarks for determining market direction and making informed trading decisions.
🔵 Setting
Show True Range : Enable or disable the display of the True Range on the chart, including the option to customize the color.
Extend True Range Line : Choose how to extend the True Range line on the chart, with the following options:
None: No line extension
Right: Extend the line to the right
Left: Extend the line to the left
Both: Extend the line in both directions (left and right)
Show Table : Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info : Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
The Quarterly Theory ICT, by dividing time into four distinct quarters (Q1, Q2, Q3, and Q4) and emphasizing the concept of the True Open, provides a structured and repeatable framework for analyzing price action across multiple time frames.
The consistent repetition of phases—Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal—allows traders to effectively identify recurring price patterns and critical market turning points. Utilizing the True Open as a benchmark, traders can more accurately determine potential directional bias, optimize trade entries and exits, and manage risk effectively.
By incorporating principles of ICT (Inner Circle Trader) and fractal time, this strategy enhances market forecasting accuracy across annual, monthly, weekly, daily, and shorter trading sessions. This systematic approach helps traders gain deeper insight into market structure and confidently execute informed trading decisions.
Cumulative New Highs - New Lows IndicatorThis indicator is designed to track market momentum by calculating and plotting the cumulative sum of 52 weeks High-Low for different indices, alongside a customizable moving average.
Index Selection:
Users can choose from multiple indices, including:
Total Stock Market (default)
NYSE Composite
Nasdaq Composite
S&P 500
Nasdaq 100
Russell 2000
Moving Average Customization:
The script allows you to select between a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) for smoothing the cumulative data. The window length of the moving average is also adjustable, letting you tailor the sensitivity of the trend analysis.
Dynamic Background Plotting:
With the background plot option enabled, the indicator changes the chart's background color dynamically:
Green: When the cumulative sum is above its moving average, suggesting bullish momentum.
Red: When it is below the moving average, indicating bearish conditions.
Visual Representation:
Two key lines are plotted:
Cumulative Index Line: Displayed in a subtle blue, representing the aggregated market movement.
Moving Average Line: Shown in an orange tone, offering a smoothed perspective that aids in identifying trend shifts.
Inspiration:
I took inspiration from the indicator made by YoxTrades (I can't put links, but you can check their profile) and added a few features I wanted on top of it.
Futures Spread TableСчитает спреды с вечными фьючами на моексе.
Все валютные пары. Акции с вечными. Моекс.
SGK Check listSGK Checklist Indicator User Manual
Indicator created by Swanand Kulkarni
# Index
## Overview
## Core Concepts
- Multi-Timeframe Analysis
- Trading Condition Categories
- Alert System
## Technical Indicators Used
- Price Action
- Momentum
- Volume
## Detailed Logic for Signal Checklist
- Buy Momentum Signals
- Buy Swing Signals
- Sell Momentum Signals
- Sell Swing Signals
## Customization Options
- Indicator Settings
- EMA Settings
- MACD Settings
- Timeframe Settings
- Visual Settings
- Table Settings
## How to Use the Indicator
- Setting Up
- Reading the Checklist
## Trading Strategies Based on the Indicator
- Momentum Trading
- Swing Trading
- Trend Following
- Confirmation Strategy
## Tips for Optimal Use
## Example Scenarios
- Strong Buy Setup
- Early Buy Signal
- Strong Sell Setup
- Early Sell Signal
## Conclusion
Overview
The SGK Checklist is a comprehensive multi-timeframe trading system designed to identify potential trading opportunities by analyzing various technical indicators across different timeframes. Using a visual checklist interface, it helps traders identify market trends, momentum and swing trade setups, and entry/exit points.
This indicator provides a systematic approach to analyzing market conditions by:
• Analyzing multiple technical indicators simultaneously
• Comparing conditions across three different timeframes
• Alerting traders when significant signal thresholds are met
• Organizing signals into specific trade setup categories
Core Concepts
Multi-Timeframe Analysis
The indicator utilizes a "MTF" framework that analyzes three timeframes simultaneously:
1. Ripple (Lower Timeframe) - Short-term price movements; default: 4H (240min)
2. Wave (Current Timeframe) - Medium-term trend; default: Daily (D)
3. Tide (Higher Timeframe) - Long-term market direction; default: Weekly (W)
This multi-timeframe approach helps traders align with the overall market direction (tide), identify the intermediate trend (wave), and time entries or exits (ripple).
Trading Condition Categories
The indicator organizes trading conditions into four main categories:
1. Buy Momentum - Strong bullish signals indicating potential for aggressive buying
2. Buy Swing - Early bullish signals indicating potential for trend reversal upward
3. Sell Momentum - Strong bearish signals indicating potential for aggressive selling
4. Sell Swing - Early bearish signals indicating potential for trend reversal downward
Alert System
The checklist features a sophisticated visual alert system:
1. Gold Highlighting - Conditions met across all three timeframes are highlighted in gold color.
2. Lightning Bolt Indicators - Category headers display lightning bolts (⚡) when significant percentages of conditions are met:
o One bolt (⚡) when 60% or more conditions are met
o Two bolts (⚡⚡) when 80% or more conditions are met
o Three bolts (⚡⚡⚡) when 100% of conditions are met
3. Color Flickering - Category headers flash with gold color when above thresholds (brightness increases with higher percentage).
4. MACD Logic
o BUY - MACD Rising + PCO, you will get TICK and if MACD is above ZERO line, you will get ‘TICK + UP ARROW’.
o SELL - MACD Falling + NCO, you will get TICK and if MACD is below ZERO line, you will get ‘TICK + DOWN ARROW’.
Technical Indicators Used
The indicator analyzes the following technical signals:
Price Action
• Bollinger Bands - Price challenging upper/lower bands and band direction/concavity
• Moving Averages - EMA configurations and crossover patterns
Momentum
• RSI (Relative Strength Index) - Overbought/oversold conditions
• ADX (Average Directional Index) - Trend strength
• MACD - Trend direction and momentum
Volume
• Volume Relative to Moving Average - Confirmation of price movement with volume
Detailed Logic for Signal Checklist
Buy Momentum Signals.
1. BB Challenge Up - Price testing or breaking above upper Bollinger Band
2. MACD Rising + PCO - MACD rising and Fast EMA above Slow EMA
3. RSI > 60 - RSI above 60, indicating strength
4. ADX > 12 - ADX above 12, indicating significant trend
5. Volume > MA - Volume above its moving average
6. EMA Configuration - Fast EMA > Medium EMA > Slow EMA (5>13>26 by default)
Buy Swing Signals
1. Lower BB Up - Lower Bollinger Band turning upward (concave up)
2. MACD Rising + PCO - MACD rising and Fast EMA above Slow EMA
3. RSI > 40 - RSI above 40, indicating potential strength building
4. Volume > MA - Volume above its moving average
5. EMA Configuration - Fast EMA > Medium EMA > Slow EMA (5>13>26 by default)
Sell Momentum Signals
1. BB Challenge Down - Price testing or breaking below lower Bollinger Band
2. MACD Falling + NCO - MACD falling and Fast EMA below Slow EMA
3. RSI < 40 - RSI below 40, indicating weakness
4. ADX > 12 - ADX above 12, indicating significant trend
5. Volume > MA - Volume above its moving average
6. EMA Configuration - Fast EMA < Medium EMA < Slow EMA (5<13<26 by default)
Sell Swing Signals
1. Upper BB Down - Upper Bollinger Band turning downward (concave down)
2. MACD Falling + NCO - MACD falling and Fast EMA below Slow EMA
3. RSI < 60 - RSI below 60, indicating potential weakness building
4. Volume > MA - Volume above its moving average
5. EMA Configuration - Fast EMA < Medium EMA < Slow EMA (5<13<26 by default)
Customization Options
The indicator offers extensive customization through the following settings categories:
Indicator Settings
• Bollinger Band Length (5-50, default: 20) - Period for Bollinger Bands calculation
• Bollinger Band Standard Deviation (0.5-4, default: 2.0) - Width of Bollinger Bands
• RSI Length (5-30, default: 14) - Period for RSI calculation
• ADX Length (5-30, default: 14) - Period for ADX calculation
• Volume MA Length (5-50, default: 20) - Period for Volume Moving Average
EMA Settings
• Fast EMA Length (1-50, default: 5) - Period for Fast EMA
• Medium EMA Length (1-100, default: 13) - Period for Medium EMA
• Slow EMA Length (1-200, default: 26) - Period for Slow EMA
MACD Settings
• MACD Fast Length (1-50, default: 12) - Fast period for MACD calculation
• MACD Slow Length (1-100, default: 26) - Slow period for MACD calculation
• MACD Signal Length (1-50, default: 9) - Signal line period for MACD
Timeframe Settings
• Ripple Timeframe - Lower timeframe (1min to Monthly)
• Wave Timeframe - Current timeframe (current or specific timeframe)
• Tide Timeframe - Higher timeframe (1min to Monthly)
Visual Settings
• First Level Alert (%) - Percentage threshold for one lightning bolt (default: 60%)
• Second Level Alert (%) - Percentage threshold for two lightning bolts (default: 80%)
• Third Level Alert (%) - Percentage threshold for three lightning bolts (default: 100%)
Table Settings
• Table Position - Where the checklist appears on chart (9 positions available)
• Table Size - Small, Medium, or Large
How to Use the Indicator
Setting Up
1. Apply the indicator to your chart
2. Configure the timeframes to match your trading style:
o Short-term traders: Consider 15m (Ripple), 1H (Wave), 4H (Tide)
o Day traders: Consider 1H (Ripple), 4H (Wave), D (Tide)
o Swing traders: Consider 4H (Ripple), D (Wave), W (Tide)
3. Adjust the technical indicator parameters if needed
4. Position and size the table for optimal viewing
Reading the Checklist
The checklist displays each condition across three timeframes with visual indicators:
• ✓ (green background): Condition is met
• ✗ (red background): Condition is not met
• Gold background for condition names: Condition is met across all three timeframes
The strength of signals is indicated by:
• The number of lightning bolts (⚡) in the category header
• The gold color flickering intensity of the category header
• The total percentage of conditions met in that category
Trading Strategies Based on the Indicator
Momentum Trading
1. Look for the "BUY MOMENTUM" or "SELL MOMENTUM" category displaying lightning bolts
2. Verify individual signals with gold background (met across all timeframes)
3. Enter in the direction of momentum when multiple conditions align
Swing Trading
1. Look for the "BUY SWING" or "SELL SWING" category displaying lightning bolts
2. Focus on early reversal signals like Bollinger Band concavity and RSI
3. Enter potential reversals early when multiple swing conditions align
Trend Following
1. Ensure the Tide and Wave timeframes show consistent signals
2. Use the Ripple timeframe for precise entry timing
3. Stay in the trade while higher timeframes maintain their signals
Confirmation Strategy
1. Wait for at least 60-80% of conditions in a category to be met (1-2 lightning bolts)
2. Look for gold backgrounds on key indicators (BB, MACD, RSI, Volume)
3. Use the higher timeframes (Tide and Wave) for trend confirmation
4. Use the lower timeframe (Ripple) for entry/exit timing
Tips for Optimal Use
1. Start with Default Settings - The default parameters are optimized for general use. Once familiar with the indicator, adjust to your specific trading style.
2. Integrate with Price Action - Use the checklist in conjunction with price action, support/resistance levels, and chart patterns.
3. Respect Timeframe Hierarchy - The highest timeframe (Tide) should dictate your overall bias (bullish/bearish).
4. Focus on Categories with Lightning Bolts - Prioritize trading setups where a category shows at least one lightning bolt (60%+ conditions met).
5. Wait for Alignment - The most robust signals occur when conditions align across all three timeframes (gold highlighting).
6. Use Progressive Entry - Consider scaling into positions as more conditions become met and lightning bolts appear.
7. Pay Attention to Flickering - The intensity of the gold flickering indicates the strength of the signal category.
8. Monitor Changes in Real-Time - Watch for conditions changing from red to green as potential early signals.
Example Scenarios
Strong Buy Setup (Momentum)
• BUY MOMENTUM shows two or three lightning bolts (⚡⚡ or ⚡⚡⚡)
• Multiple "Buy Momentum" conditions have gold backgrounds
• "BB Challenge Up" and "Volume > MA" both show checkmarks across all timeframes
• RSI > 60 on all timeframes
Early Buy Signal (Swing)
• BUY SWING shows one or two lightning bolts (⚡ or ⚡⚡)
• "Lower BB Up" and "RSI > 40" have gold backgrounds
• EMA configuration is positive in at least Wave and Tide timeframes
Strong Sell Setup (Momentum)
• SELL MOMENTUM shows two or three lightning bolts (⚡⚡ or ⚡⚡⚡)
• Multiple "Sell Momentum" conditions have gold backgrounds
• "BB Challenge Down" and "MACD Falling + NCO" show checkmarks across all timeframes
• RSI < 40 on all timeframes
Early Sell Signal (Swing)
• SELL SWING shows one or two lightning bolts (⚡ or ⚡⚡)
• "Upper BB Down" has a gold background
• EMA configuration is negative in at least Wave and Tide timeframes
Conclusion
The SGK Checklist indicator provides a comprehensive framework for analyzing market conditions across multiple timeframes. By systematically checking technical conditions and providing visual alerts, it helps traders identify potential trading opportunities with increased confidence.
The strength of this indicator lies in its ability to:
1. Organize complex market data into actionable signals
2. Provide real-time visual feedback on signal strength
3. Analyze market conditions across multiple timeframes simultaneously
4. Alert traders when significant thresholds are crossed
Remember that no indicator is perfect, and the SGK Checklist should be used as part of a complete trading system that includes risk management, proper position sizing, and additional confirmation methods when needed.
H.M. Bank Nifty Screener LiveYour new Happening Market BankNifty Screener Live indicator provides a real-time breakdown of Bank Nifty constituents, giving traders a detailed view of stock-wise movements and their impact on the index. Here's a description for your indicator:
🚀 Happening Market BankNifty Screener Live 🚀
🔍 Track Every Move in BankNifty with Real-Time Insights!
This powerful BankNifty Screener is designed to help traders analyze individual stock movements within the Bank Nifty index, offering a detailed breakdown of weightage, price action, RSI levels, and contribution to index movement.
🔹 Key Features:
✅ Constituent Impact on Index – Shows how each BankNifty stock influences the index based on its weightage.
✅ Live Price & Change – Get real-time LTP, % change, and absolute movement of all BankNifty stocks.
✅ Stock-Wise Contribution – Identifies which stocks are driving the index up or down.
✅ Momentum Analysis – Includes RSI for spotting overbought/oversold conditions.
✅ Table View for Easy Analysis – A structured and intuitive display to track key data in one glance.
💡 How It Helps?
Traders can assess sector strength, spot leading stocks, and fine-tune index trading strategies with ease. High-weightage stocks have a greater impact on BankNifty, and this tool helps you stay ahead by tracking their moves.
🔥 Perfect for Index Traders, Option Traders, and Scalpers looking for live insights!
📌 Available on TradingView – Add it to your chart today!
#BankNifty #StockMarket #TradingView #IndexTrading #BankNiftyScreener #LiveMarket
Stocks Riders S1Stock Riders S1 A Daily Time Frame Trading Indicator
Overview
The Stock Riders S1 is a powerful trading tool designed specifically for the daily time frame. It calculates key trading levels based on the **last two candles' high, low, and open**, providing traders with a structured approach to identifying **entry points, risk-reward zones, and potential reversals.
Unlike conventional indicators, **Stock Riders S1** generates its levels at the **opening of the trading day**, allowing traders to plan their trades proactively rather than reacting to market movements.
Key Features
1. PowerLane (Risk & Reward Levels)
- Defines the **risk-reward ratio** for each trade.
- Helps traders set precise **targets and stop-loss levels** based on calculated values.
- Ensures that trades are executed with a well-defined strategy.
2. CrownPoint (Target Projection)
- Projects the price movement **potential** based on the latest buy or sell signal.
- If a **buy signal** is generated, the CrownPoint estimates the level the price might reach.
- If a **sell signal** appears, it suggests the probable downside movement.
3. ShieldPoint (Reversal Signal)
- Indicates a possible reversal zone.
- If the price reaches this level, traders should be cautious, as the trend may **change direction**.
- Ideal for **managing open positions**, ensuring timely exits or reversals.
4. ColorChange (Market Reversal Probability)
- If the indicator shows a **color change**, it signals a **strong possibility** that the price might move **against the original signal**.
- Risk-reward calculations are **adjusted at this level** to account for changing market conditions.
How It Works
- The **Stock Riders S1** calculates trading levels using the **last two candles' high, low, and open**.
- These levels appear **at the market opening** and remain static for the day, ensuring clarity for traders.
- **When a trade is initiated**, traders must align their **entry, stop-loss, and target** with PowerLane.
- If the **ShieldPoint is hit**, consider **reversing the position** to capitalize on market direction shifts.
Recommended Trading Strategy
1. Trade at the Right Time
- Enter a position **only after the market opens and levels are displayed**.
- Avoid delayed entries; trade as soon as the calculated levels are met.
2. Follow the Risk-Reward Structure*
- Always use **PowerLane** to set **target and stop-loss** values.
- If the **ShieldPoint is reached**, consider **reversing your trade** instead of holding losses.
3. Daily Time Frame Focus
- This indicator is **designed exclusively for daily charts** and should not be used on lower time frames.
- After marking the levels, apply them to **stocks in your watchlist** for disciplined trading.
Why It’s Special
Pre-Market Level Calculation Unlike conventional indicators that rely on past data, **Stock Riders S1** provides actionable trading levels **at market open**, allowing traders to plan their trades in advance.
Structured Risk-Reward System The **PowerLane levels** ensure that traders always trade with a clear stop-loss and target, reducing emotional decision-making.
Predictive Market SignalCrownPoint, ShieldPoint, and ColorChange work together to highlight **trends, reversals, and high-probability moves**, giving traders a strategic edge.
Daily Time Frame Precision Unlike short-term indicators, Stock Riders S1 focuses solely on daily charts, making it ideal for positional and swing traders.
Dynamic Adaptation – The levels are recalculated **daily**, adapting to changing market conditions without lagging signals.
Important Notes
- This indicator is meant for educational purposes only and does not provide financial advice.
- **Trading involves risk**, and past performance does not guarantee future results.
- It is advisable to use **Stock Riders S1** in conjunction with other market analysis tools and proper risk management strategies.
Disclaimer
The **Stock Riders S1** indicator is based on historical market data and **mathematical calculations**. While it provides valuable insights into potential price movements, it should not be used as the sole basis for trading decisions.
- **Use at your own discretion**, keeping in mind market risks and personal trading strategies.
- This indicator is designed for **daily stock market trading only** and should not be applied to other asset classes.
- Always conduct independent research before making any trading decisions.
Final Thought
The **Stock Riders S1** is not just another trading indicator—it’s a **strategic trading tool** designed to help traders stay ahead of market movements. By leveraging its **calculated levels, risk-reward structures, and reversal signals**, traders can **approach the market with confidence and clarity**.
Use it wisely, trade with discipline, and let the market ride in your favor!
4 days ago
Release Notes
Stock Riders S1 A Daily Time Frame Trading Indicator
Overview
The Stock Riders S1 is a powerful trading tool designed specifically for the daily time frame. It calculates key trading levels based on the **last two candles' high, low, and open**, providing traders with a structured approach to identifying **entry points, risk-reward zones, and potential reversals.
Unlike conventional indicators, **Stock Riders S1** generates its levels at the **opening of the trading day**, allowing traders to plan their trades proactively rather than reacting to market movements.
Key Features
1. PowerLane (Risk & Reward Levels)
- Defines the **risk-reward ratio** for each trade.
- Helps traders set precise **targets and stop-loss levels** based on calculated values.
- Ensures that trades are executed with a well-defined strategy.
2. CrownPoint (Target Projection)
- Projects the price movement **potential** based on the latest buy or sell signal.
- If a **buy signal** is generated, the CrownPoint estimates the level the price might reach.
- If a **sell signal** appears, it suggests the probable downside movement.
3. ShieldPoint (Reversal Signal)
- Indicates a possible reversal zone.
- If the price reaches this level, traders should be cautious, as the trend may **change direction**.
- Ideal for **managing open positions**, ensuring timely exits or reversals.
4. ColorChange (Market Reversal Probability)
- If the indicator shows a **color change**, it signals a **strong possibility** that the price might move **against the original signal**.
- Risk-reward calculations are **adjusted at this level** to account for changing market conditions.
How It Works
- The **Stock Riders S1** calculates trading levels using the **last two candles' high, low, and open**.
- These levels appear **at the market opening** and remain static for the day, ensuring clarity for traders.
- **When a trade is initiated**, traders must align their **entry, stop-loss, and target** with PowerLane.
- If the **ShieldPoint is hit**, consider **reversing the position** to capitalize on market direction shifts.
Recommended Trading Strategy
1. Trade at the Right Time
- Enter a position **only after the market opens and levels are displayed**.
- Avoid delayed entries; trade as soon as the calculated levels are met.
2. Follow the Risk-Reward Structure*
- Always use **PowerLane** to set **target and stop-loss** values.
- If the **ShieldPoint is reached**, consider **reversing your trade** instead of holding losses.
3. Daily Time Frame Focus
- This indicator is **designed exclusively for daily charts** and should not be used on lower time frames.
- After marking the levels, apply them to **stocks in your watchlist** for disciplined trading.
Why It’s Special
Pre-Market Level Calculation Unlike conventional indicators that rely on past data, **Stock Riders S1** provides actionable trading levels **at market open**, allowing traders to plan their trades in advance.
Structured Risk-Reward System The **PowerLane levels** ensure that traders always trade with a clear stop-loss and target, reducing emotional decision-making.
Predictive Market SignalCrownPoint, ShieldPoint, and ColorChange work together to highlight **trends, reversals, and high-probability moves**, giving traders a strategic edge.
Daily Time Frame Precision Unlike short-term indicators, Stock Riders S1 focuses solely on daily charts, making it ideal for positional and swing traders.
Dynamic Adaptation – The levels are recalculated **daily**, adapting to changing market conditions without lagging signals.
Important Notes
- This indicator is meant for educational purposes only and does not provide financial advice.
- **Trading involves risk**, and past performance does not guarantee future results.
- It is advisable to use **Stock Riders S1** in conjunction with other market analysis tools and proper risk management strategies.
Disclaimer
The **Stock Riders S1** indicator is based on historical market data and **mathematical calculations**. While it provides valuable insights into potential price movements, it should not be used as the sole basis for trading decisions.
- **Use at your own discretion**, keeping in mind market risks and personal trading strategies.
- This indicator is designed for **daily stock market trading only** and should not be applied to other asset classes.
- Always conduct independent research before making any trading decisions.
Final Thought
The **Stock Riders S1** is not just another trading indicator—it’s a **strategic trading tool** designed to help traders stay ahead of market movements. By leveraging its **calculated levels, risk-reward structures, and reversal signals**, traders can **approach the market with confidence and clarity**.
Use it wisely, trade with discipline, and let the market ride in your favor!
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
cashdata by farashahThis indicator is designed to generate wave charts following the NeoWave method.
NeoWave, developed by Glenn Neely in 1990, offers a scientific and objective approach to wave analysis.
A Cash Data is essential for accurate analysis, requiring highs and lows to be plotted in the exact order they occurred—a process that can be complex and time-consuming.
The indicator automates this process by identifying highs and lows for any symbol and timeframe, plotting them in real-time.
For instance, on a monthly timeframe, it finds yearly highs and lows and arranges them sequentially, forming a "Yearly Wave Chart" for NeoWave analysis.
•Generates Wave Charts for multiple timeframes(yearly, monthly, weekly, daily, hourly, minutely).
• Provides real-time auto-updating Wave Charts.
• Supports plotting based on calendar time, bar count, or equal distances.
• Compatible with all account types.
Double Bollinger Bands Strategy with Signals (By Rolwin)Double Bollinger Bands Strategy with Signals 1.0 (By Rolwin)
📌 Overview
The Double Bollinger Bands Strategy is a trend-following system that utilizes two sets of Bollinger Bands (2 standard deviations and 3 standard deviations) to identify high-probability entry and exit points. This strategy helps traders capitalize on strong price movements and potential reversals by detecting overbought and oversold conditions more effectively.
📊 How It Works
• Bollinger Bands Setup:
o Middle Band: 20-period Simple Moving Average (SMA)
o Upper & Lower Bands (2 SD): Standard Bollinger Bands (±2 standard deviations)
o Extreme Bands (3 SD): Additional Bollinger Bands (±3 standard deviations) for extreme price moves
• Entry Signals:
✅ Buy (Long Entry): When the price crosses above the lower 3SD band (oversold zone)
❌ Sell (Short Entry): When the price crosses below the upper 3SD band (overbought zone)
• Exit Signals:
🔼 Exit Long: When the price reaches the upper 2SD band
🔽 Exit Short: When the price reaches the lower 2SD band
• Additional Features:
✅ Buy & Sell Signals plotted directly on the chart
🎨 Candles turn white when price touches the extreme 3SD band
🔥 Why Use This Strategy?
✔️ Clear Entry & Exit Points: Based on strong statistical levels
✔️ Effective in Trending & Reversal Markets: Captures both momentum & mean reversion setups
✔️ Easy-to-Use Visualization: Signals & bands make it beginner-friendly
✔️ Customizable: Adjust Bollinger Band length and multipliers to fit different assets & timeframes
⚠️ Risk Management Tip
While this strategy provides high-probability trade signals, it is essential to use stop-loss orders (e.g., ATR-based) and proper position sizing to manage risk effectively.
📈 Try it out and optimize the settings for your favorite markets! 🚀
Machine Learning + IchimokuIchimoku Cloud + Machine Learning Levels is an advanced indicator that merges a classic trend tool with machine-learned supply & demand zones. Combining the two can help traders identify trends and key price zones with greater confidence when both signals align!
How it Works
The Ichimoku Cloud component identifies the trend direction and momentum at a glance – it shows support/resistance areas via its cloud (Kumo) and signals potential trend changes when the Tenkan-sen and Kijun-sen lines cross. Meanwhile, the Machine Learning module analyzes historical price data to project potential support and resistance levels (displayed as horizontal lines) that the algorithm deems significant. By combining these, the script offers a two-layer confirmation: Ichimoku outlines the broader trend and equilibrium, while the ML levels pinpoint specific price levels where the price may react. For example, if price is above the Ichimoku Cloud (uptrend) and also near an ML-predicted support, the confluence of these signals strengthens the case for a bounce.
How to Use
Apply the indicator to a chart like any other TradingView script. It works on multiple asset classes (see supported list below). Once added:
Ichimoku Lines
Tenkan-sen (Blue): Short-term average reflecting recent highs/lows.
Kijun-sen (Red): Medium-term baseline for support/resistance.
Senkou Span A (Green) & Senkou Span B (Orange) form the “Cloud” (Kumo). Price above the Cloud often signals a bullish environment; price below it can signal a bearish environment.
Chikou Span (Purple): Plots current closing price shifted back, helping gauge momentum vs. past price.
ML-Predicted Support/Resistance Lines (Green/Red Horizontal Lines)
Green Horizontal Lines – Potential support zones.
Red Horizontal Lines – Potential resistance zones.
These dynamically adjust based on the specific asset and are updated as new historical data becomes available.
Password (for Advanced Features)
In the indicator’s Settings, there is an input field labeled “Password.” The password corresponds to the ticker(s) listed below.
Stocks
TSLA, NVDA, AAPL, AMZN, PLTR, AMD, META, MSFT, MSTR, GOOG, GME, COIN, NFLX, BABA, UBER, HOOD, NKE
Cryptocurrencies
ETH, BTC, SOL, BNB, XRP, ADA, DOT, DOGE, LTC, JUP, LINK, INJ, FET, SAND, HBAR, TRX, SHIB, UNI
(If you attach the indicator to any unlisted ticker, you will only see the Ichimoku Cloud.)
Why It’s Unique
This script is a fresh take on market analysis – it’s original in fusing Ichimoku’s visual trend mapping with machine learning. The Ichimoku framework provides time-proven trend insight, and the ML levels add forward-looking context specific to each asset. By uniting them, the indicator aims to filter out false signals and highlight high-probability zones. No repainting occurs: Ichimoku values are based on closed data, and ML levels are computed from historical patterns (they do not retroactively change).
Ichimoku Cloud + Machine Learning Levels offers an informative blend of old and new analysis techniques. It clearly shows where price is relative to trend (via Ichimoku) and where it might react in the future (via ML levels). Use it to gain a richer view of the market’s behavior. I hope this indicator provides valuable insights for your trading decisions. Happy trading!
Fortune Signal & Hilega Milega + CPR & VWAPFortune Signal & Hilega Milega + CPR & VWAP Indicator 🚀
Overview
This all-in-one indicator combines multiple powerful trading tools to help traders make informed decisions. It includes CPR levels, VWAP, Supertrend, Fortune Signal, Hilega Milega, and EMA-based signals, making it ideal for intraday and swing trading.
Features
✅ CPR (Central Pivot Range): Identifies key support & resistance zones.
✅ VWAP (Volume Weighted Average Price): Helps track the average price weighted by volume.
✅ Supertrend Indicator: Identifies trend direction and changes, with candles turning green for buy and red for sell.
✅ Fortune Signal: Uses 9 EMA & 21 EMA crossovers with RSI confirmation to generate buy/sell signals.
✅ Hilega Milega: Combines Supertrend & MACD crossovers to highlight possible trend reversals.
✅ EMA (20, 50, 200): Tracks trend strength and support/resistance levels.
✅ Buy/Sell Signals: Generated using multiple confirmations like EMA crossovers and VWAP crossovers.
How to Use
📌 Buy Signal: Green arrow appears below the candle when conditions are met.
📌 Sell Signal: Red arrow appears above the candle when conditions are met.
📌 Supertrend Confirmation: Green background for uptrend, red background for downtrend.
Best For
🔹 Intraday Traders
🔹 Swing Traders
🔹 Price Action & Trend Followers
💡 Tip: Use this indicator along with volume and price action for better accuracy! 🚀
Profit Hunter @DaviddTechProfit Hunter @DaviddTech is an advanced multi-strategy indicator designed to give traders a significant edge in identifying high-probability trading opportunities across all market conditions. By combining the power of T3 adaptive moving averages, ADX-based trend strength analysis, SuperTrend trailing stops, and dynamic support/resistance detection, this indicator delivers a complete trading system in one powerful package.
## 📊 Recommended Usage
Timeframes: Most effective on 1H, 4H, and Daily charts for swing trading; 5M and 15M for day trading
Markets: Works across all markets including Forex, Crypto, Indices, and Stocks
Setup Guidelines: Look for T3 crossovers with strong ADX readings (>25) coinciding with breakout signals (yellow dots/red crosses) near key support/resistance levels for highest probability entries
## 🔥 Key Features:
### T3 Adaptive Trend Detection:
Utilizes premium T3 adaptive indicators instead of standard EMAs for superior smoothing and accuracy
Dynamic color-shifting cloud formation between fast and slow T3 lines reveals immediate trend direction
Proprietary transparency algorithm intensifies cloud colors during strong trends based on real-time ADX readings
### Advanced Support & Resistance Mapping:
Automatically identifies and marks key market structure levels during T3 crossovers
Dynamic horizontal level plotting with optional extension for monitoring future price interactions
Intelligent level validation - converts to dotted lines when price breaks through, maintaining visual clarity
### SuperTrend Trailing Stoploss System:
Professional-grade white trailing stop indicator adapts to market volatility using ATR calculations
Generates precise entry and exit signals with optional buy/sell labels at critical reversal points
Visual trend state highlighting for immediate assessment of current market position
### Breakout Detection & Confirmation:
Sophisticated dual-algorithm breakout system combining Bollinger Bands and Keltner Channels
Visual breakout alerts with yellow dots (bullish) and red crosses (bearish) for instant pattern recognition
Validates breakouts against T3 trend direction to minimize false signals
### Alpha Edge Color System:
Utilizes DaviddTech's signature color scheme with bullish green and bearish pink
Revolutionary transparency algorithm translates ADX readings into precise visual intensity
Higher ADX values produce more vivid colors, instantly communicating trend strength without additional indicators
## 💰 Trading Applications:
Alpha Discovery: Identify emerging trends before the majority of market participants
Precision Entry/Exit: Use SuperTrend signals combined with support/resistance levels for optimal trade execution
Risk Management: Set stops based on the white trailing stoploss line for mathematically-optimized protection
Trend Confirmation: Validate setups using the T3 cloud direction and ADX-based intensity
Breakout Trading: Capture explosive moves with confirmed Bollinger/Keltner breakout signals
Swing Position Management: Monitor extended support/resistance levels for multi-day positioning
## ✨ Strategy Example
As shown in the chart image, ideal entries occur when:
The T3 cloud turns bullish (green) or bearish (pink) with strong color intensity
A yellow dot (bullish) or red cross (bearish) breakout signal appears
Price respects the white SuperTrend line as support/resistance
The trade aligns with key horizontal support/resistance levels identified by the indicator
## 📝 Attribution
This indicator builds upon and enhances concepts from:
Market Trend Levels Detector by BigBeluga (support/resistance detection framework)
T3 indicator implementation by DaviddTech (adaptive moving average system)
Average Directional Index (ADX) methodology for trend strength measurement
Profit Hunter @DaviddTech represents the culmination of advanced technical analysis methodologies in one seamless system.
Gabriel's Global Market CapGabriel's Global Market Cap is a comprehensive financial indicator designed to track and analyze the total market capitalization across multiple asset classes. It incorporates various financial markets, including stocks, bonds, real estate, cryptocurrencies, commodities, derivatives, private equity, insurance, OTC markets, and natural resources, to provide a holistic view of global market dynamics.
This indicator integrates Ehlers' Adaptive Dominant Cycle Detection and a custom VIX formula to adjust market values based on volatility and volume fluctuations, allowing for a more refined understanding of market conditions.
Key Features
✅ Multi-Market Analysis – Tracks 10+ global financial sectors, each represented by a key ETF or index.
✅ Normalization & Readability – Converts market cap values into an easy-to-read format (Millions, Billions, Trillions, Quadrillions).
✅ Volatility & Volume Adjustments – Optional VIX-based smoothing and relative volume adjustment for more dynamic readings.
✅ Ehlers’ Cycle Detection – Utilizes dominant cycle length detection to uncover market rhythms and cyclic behavior.
✅ Risk Thresholds & Background Coloring – Identifies overbought and oversold conditions with cyclic bands and background shading.
✅ Customizable Inputs – Users can toggle different market categories on/off for focused analysis.
✅ Interactive Data Table – Displays real-time values for each asset class in a structured table format.
Market Categories & Data Sources
📈 Global Stock Market – iShares MSCI ACWI ETF (ACWI)
💰 Global Bond Market – Vanguard Total World Bond ETF (BNDW)
🏡 Real Estate Market – iShares Global REIT ETF (REET)
₿ Cryptocurrency Market – Total Crypto Market Cap (CRYPTOCAP:TOTAL)
🌾 Commodities Market – Invesco DB Commodity Index Fund (DBC)
📊 Derivatives Market – CME Group (CME)
🏦 Private Equity & VC – ProShares Global Listed Private Equity ETF (PEX)
🛡️ Insurance Market – SPDR S&P Insurance ETF (KIE)
💹 OTC Markets – OTC Markets Group (OTCM)
⛽ Natural Resources – iShares Global Energy ETF (IXC)
Technical Enhancements
1️⃣ Custom Volatility Index (VIX) Calculation (Work In Progress)
Adjusts asset values based on volatility conditions using Ehlers' Cycle Detection.
Higher VIX reduces market cap, while lower VIX stabilizes it.
2️⃣ Adaptive Market Normalization
Converts absolute market values into a relative strength scale (0-100) for better visual analysis.
Uses historical min/max values to adjust dynamically.
3️⃣ Cyclic Analysis & Overbought/Oversold Levels
Detects hidden market rhythms & time cycles.
Calculates upper and lower risk bands based on dominant cycle length.
Applies background shading for visualizing low or high risk periods.
Customization Options
🔧 Enable/Disable Market Categories – Select which asset classes to track.
📊 Toggle VIX & Volume Smoothing – Adjust how market cap reacts to volatility & volume.
🎨 Cyclic Risk Bands – Highlight overbought/oversold conditions with dynamic background colors.
Visual Elements
📉 Market Cap Trends – Each category is plotted with a unique color.
🌎 Total Global Value (TGV) – A combined index representing all selected markets.
🎨 Background Coloring – Indicates high/low risk periods.
📋 Real-Time Data Table – Displays normalized & raw market cap values in an easy-to-read format.
Practical Applications
📊 Macroeconomic Analysis – Track global liquidity and investment shifts across asset classes.
💹 Volatility & Risk Assessment – Identify high-risk market conditions based on cyclic behavior.
📈 Cross-Market Comparisons – See which sectors are leading or lagging in value growth.
🔍 Crypto & Stock Market Trends – Analyze how traditional and digital assets correlate.
Strategy SuperTrend SDI WebhookThis Pine Script™ strategy is designed for automated trading in TradingView. It combines the SuperTrend indicator and Smoothed Directional Indicator (SDI) to generate buy and sell signals, with additional risk management features like stop loss, take profit, and trailing stop. The script also includes settings for leverage trading, equity-based position sizing, and webhook integration.
Key Features
1. Date-based Trade Execution
The strategy is active only between the start and end dates set by the user.
times ensures that trades occur only within this predefined time range.
2. Position Sizing and Leverage
Uses leverage trading to adjust position size dynamically based on initial equity.
The user can set leverage (leverage) and percentage of equity (usdprcnt).
The position size is calculated dynamically (initial_capital) based on account performance.
3. Take Profit, Stop Loss, and Trailing Stop
Take Profit (tp): Defines the target profit percentage.
Stop Loss (sl): Defines the maximum allowable loss per trade.
Trailing Stop (tr): Adjusts dynamically based on trade performance to lock in profits.
4. SuperTrend Indicator
SuperTrend (ta.supertrend) is used to determine the market trend.
If the price is above the SuperTrend line, it indicates an uptrend (bullish).
If the price is below the SuperTrend line, it signals a downtrend (bearish).
Plots visual indicators (green/red lines and circles) to show trend changes.
5. Smoothed Directional Indicator (SDI)
SDI helps to identify trend strength and momentum.
It calculates +DI (bullish strength) and -DI (bearish strength).
If +DI is higher than -DI, the market is considered bullish.
If -DI is higher than +DI, the market is considered bearish.
The background color changes based on the SDI signal.
6. Buy & Sell Conditions
Long Entry (Buy) Conditions:
SDI confirms an uptrend (+DI > -DI).
SuperTrend confirms an uptrend (price crosses above the SuperTrend line).
Short Entry (Sell) Conditions:
SDI confirms a downtrend (+DI < -DI).
SuperTrend confirms a downtrend (price crosses below the SuperTrend line).
Optionally, trades can be filtered using crossovers (occrs option).
7. Trade Execution and Exits
Market entries:
Long (strategy.entry("Long")) when conditions match.
Short (strategy.entry("Short")) when bearish conditions are met.
Trade exits:
Uses predefined take profit, stop loss, and trailing stop levels.
Positions are closed if the strategy is out of the valid time range.
Usage
Automated Trading Strategy:
Can be integrated with webhooks for automated execution on supported trading platforms.
Trend-Following Strategy:
Uses SuperTrend & SDI to identify trend direction and strength.
Risk-Managed Leverage Trading:
Supports position sizing, stop losses, and trailing stops.
Backtesting & Optimization:
Can be used for historical performance analysis before deploying live.
Conclusion
This strategy is suitable for traders who want to automate their trading using SuperTrend and SDI indicators. It incorporates risk management tools like stop loss, take profit, and trailing stop, making it adaptable for leverage trading. Traders can customize settings, conduct backtests, and integrate it with webhooks for real-time trade execution. 🚀
Important Note:
This script is provided for educational and template purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Upward Divergence with RSI ConfirmationThis indicator identifies upward divergences, signaling potential trend reversals from a downtrend to an uptrend. It combines price-action analysis with RSI confirmation to provide high-probability signals for upward momentum.
Key Features:
Divergence Detection: Captures key moments where downtrend weakness transitions into upward momentum.
RSI-Based Filtering: Confirms signals using RSI exceeding a user-defined threshold, adding reliability to the signals.
Customizable Parameters: Allows traders to adjust settings for downtrend length, RSI period, thresholds, and more.
Visual Signals: Displays upward markers on the chart for easy identification of signals.
Alert Ready: Includes real-time alert conditions to ensure you never miss a signal.
How to Use:
Add the indicator to your chart and configure the settings via the input menu.
Look for visual markers (arrows) to identify potential trend reversals.
Combine this indicator with other tools for a more robust trading strategy.
This indicator is ideal for traders looking to enhance their analysis with RSI-confirmed divergence patterns, whether trading stocks, forex, or cryptocurrencies.
PLN IndexThe "PLN Index" is a custom indicator developed for TradingView using Pine Script (version 6). It tracks the relative strength of the Polish Zloty (PLN) against a basket of four major currencies: the U.S. Dollar (USD), Swiss Franc (CHF), Euro (EUR), and British Pound (GBP), with each currency contributing an equal weight of 25%. Modeled after the Polish Zloty Index (PLN_I) concept, this indicator offers traders a tool to monitor PLN’s performance across various forex market conditions.
How It Works
The indicator fetches closing prices for the currency pairs USDPLN, CHFPLN, EURPLN, and GBPPLN from TradingView’s data provider (FX_IDC). These pairs represent the amount of PLN needed to purchase one unit of each respective foreign currency. To measure PLN’s strength, the script inverts these rates (e.g., PLNUSD = 1/USDPLN) and calculates the geometric mean of the resulting values using the formula geom_mean = (PLNUSD * PLNCHF * PLNEUR * PLNGBP)^(0.25). The result is then normalized to a base value of 100 at the first bar with complete data, allowing users to observe relative changes in PLN’s value over time. A rising index indicates PLN appreciation, while a falling index suggests depreciation against the basket.
Key Features
Data Inputs: Retrieves closing prices for USDPLN, CHFPLN, EURPLN, and GBPPLN on the selected timeframe.
Calculation: Computes the geometric mean of the inverted exchange rates and normalizes it to 100 based on the first valid bar.
Visualization: Plots the index as a blue line with a linewidth of 2 on a separate chart pane (non-overlay).
Robust Normalization: Normalizes the index using the first bar where all data is available, improving reliability across different timeframes.
Usage
The PLN Index is useful for:
Evaluating the Polish Zloty’s strength or weakness relative to a balanced currency basket.
Identifying long-term trends or short-term shifts in PLN’s value for forex trading or economic analysis.
Supporting technical analysis when paired with additional indicators, such as moving averages or oscillators.
Limitations
Data Dependency: The indicator relies on the availability of historical data for all four currency pairs. Missing data (e.g., on higher timeframes like D1 or W1) may prevent accurate plotting.
Relative Normalization: Unlike the official PLN_I, which uses a fixed historical base date (e.g., January 2, 1984), this indicator normalizes to 100 at the first valid bar, making it a relative rather than absolute measure.
Potential Data Gaps: On higher timeframes, inconsistencies or limited historical data from the FX_IDC provider may result in incomplete index values.
Notes
This version of the PLN Index includes an improved normalization method that sets the base value (100) at the first bar with valid data, enhancing its adaptability compared to earlier iterations. It performs best on timeframes up to H4, where data availability is generally consistent. For higher timeframes, users should verify data completeness to ensure reliable results.
Named SessionsShows London, New York and Tokyo sessions (and optionally Sydney).
Beginner-friendly - shows names of sessions, not just colors
Marks low and high of session
Shows if session is currently open
Session names can be customized
Session label is placed above or below depending on price move during session, visually indicating the trend (also works during open session)
Is displayed only on timeframes below 4H
How it works
Session trend is calculated simply by subtracting the session's opening price from the session's closing price (or current price if session is open).
If there is a gap before the session, the previous close is used instead of the first candle's open price.
[TehThomas] - ICT VI / FVG / IFVG / Liquidity📌 Overview
This TradingView indicator is designed to help traders spot key price inefficiencies and liquidity events based on ICT (Inner Circle Trader) concepts. The script automatically highlights important areas on the chart, such as Volume Imbalances (VI), Fair Value Gaps (FVG), Inverted Fair Value Gaps (IFVG), and Liquidity Sweeps, giving traders a clear view of where price might react.
By marking these zones visually, the indicator serves as a liquidity map, showing where smart money could be targeting orders or rebalancing price action.
🔑 How the Script Works
The indicator detects four major market inefficiencies and liquidity patterns, each offering valuable insights into how price might behave:
1️⃣ Volume Imbalance (VI)
Bullish VI: When the current candle has higher volume than the previous candle in an upward move, this suggests demand is pushing the price up, creating potential buying opportunities.
Bearish VI: When the current candle has higher volume than the previous candle in a downward move, this suggests supply is pushing the price down, highlighting potential selling opportunities.
How to take trades:
Buy: Enter a long position when a bullish VI appears and the price is near a support zone or key level (such as the previous swing low or FVG).
Sell: Enter a short position when a bearish VI appears and the price is near a resistance zone or key level (such as the previous swing high or FVG).
2️⃣ Fair Value Gap (FVG)
Bullish FVG: A gap in price action where the low of the second candle is higher than the high of the first candle. Price tends to return to fill these gaps before continuing upward.
Bearish FVG: A gap in price action where the high of the second candle is lower than the low of the first candle. Price tends to return to fill these gaps before continuing downward.
How to take trades:
Buy: Enter long after a pullback into a bullish FVG zone and if price action shows signs of rejection (such as bullish candlestick patterns or strong momentum).
Sell: Enter short after a pullback into a bearish FVG zone and if price action shows signs of rejection (such as bearish candlestick patterns or strong downward momentum).
3️⃣ Inverted Fair Value Gap (IFVG)
An Inverted Fair Value Gap (IFVG) refers to a Fair Value Gap (FVG) that has already been filled or broken through by price action. Essentially, it is a gap that has been revisited by price and has now been mitigated or broken.
Example:
For Continuation: After price fills the gap, it may continue in the same direction. If price breaks through a bullish FVG and shows continuation, it may signal that the market is still in a strong uptrend.
For Reversal: If the price returns to an inverted FVG after breaching it, and then starts showing signs of reversal (e.g., reversal candlestick patterns, or a shift in momentum), this could signal an entry point in the opposite direction.
How to take trades:
Buy: Consider entering long when price returns to an IFVG zone that aligns with other bullish confluences, such as a bullish VI or liquidity sweep.
Sell: Consider entering short when price returns to a bearish IFVG zone that aligns with other bearish confluences, such as a bearish VI or liquidity sweep.
4️⃣ Liquidity Sweeps
Liquidity sweeps occur when the market temporarily breaks a key high or low to trigger stop-loss orders or lure traders into the wrong direction before reversing.
How to take trades:
Buy: If a liquidity sweep breaks a key resistance or swing high but fails to close above it, enter long when price begins to reverse in the opposite direction, ideally near a previous support or FVG zone.
Sell: If a liquidity sweep breaks a key support or swing low but fails to close below it, enter short when price begins to reverse in the opposite direction, ideally near a previous resistance or FVG zone.
🎯 Trade Setup and Confirmation Strategy
Here’s how to combine these concepts for high-probability trade setups:
Liquidity Sweeps + Volume Imbalances:
If a liquidity sweep occurs in conjunction with a volume imbalance (especially on a higher timeframe), this can act as a confirmation signal to enter the trade.
Example: A liquidity sweep breaks a previous high, but the price fails to close above it. If this happens alongside a break of a Volume imbalance (VI) , it could be a strong signal to sell.
FVG/IFVG Mitigation + Liquidity Sweeps:
Price often returns to mitigate imbalances, and when a liquidity sweep occurs near an unfilled gap, it could trigger a reversal.
Example: After an upward trend, a bearish liquidity sweep breaks a previous swing low, and price then revisits a bearish FVG and creates an IFVG, signaling an opportunity to buy.
Directional Bias (Higher Timeframe Analysis):
Always consider the higher timeframe trend to confirm trade direction. A bullish FVG or bullish VI on the lower timeframe aligns with a bullish trend on the higher timeframe.
Confluence with Key Levels:
When these patterns align with important price levels such as support, resistance, or previously identified swing highs/lows, it enhances the probability of a successful trade.
⚙️ How It Helps in Trading Strategy
The indicator assists in several aspects of trading:
Liquidity Hunts: Price often sweeps liquidity before making major moves.
Entry Confirmation: Use imbalances or sweeps as extra confluence for trade entries.
Mitigation Zones: Price frequently returns to fill inefficiencies before reversing.
Directional Bias: Bullish or bearish gaps align with the higher timeframe narrative.
🔍 ICT Concepts Included
✅Volume Imbalance (VI): High-volume inefficiencies.
✅Fair Value Gap (FVG): Standard price gaps.
✅Inverted Fair Value Gap (IFVG): Filtered large price gaps.
✅Liquidity Sweeps: Stop-hunting patterns by smart money.
⚠️ Disclaimer
This indicator is built for educational purposes and should not be considered financial advice. Trading carries risk, and no tool guarantees profits. Always use proper risk management and perform your own analysis before entering any trade.
NFP High/Low Levels PlusNFP High/Low Levels Plus
Description:
This indicator stores the 12 most recent NFP (Non-Farm-Payroll) days and their values.
Values are captured from 0830 (NFP Release) until close of market
The High and Low values for each NFP month are drawn on the chart with horizontal lines.
- Labels indicating the month's high or low line are placed after the line
- Optionally the high/low price can be displayed additionally
Support and Resistance boxes can be drawn at the closest NFP level above and below the
current price.
- Boxes will automatically update as prices cross the NFP value
Macro Indicator
- This option displays a small table in the top right corner that says "Up" or " Down"
- The Macro Indicator can be used to judge the potential direction for the current month
- Macro direction is calculated by the following:
- UP: If two consecutive days both open and close above the most recent NFP High level
- DOWN: If two consecutive days both open and close below the most recent NFP Low level
Micro Indicator
- This option displays a small table in the top right corner that says "Up" or " Down"
- The Micro Indicator can be used to judge the potential direction for low timeframes 1H or
lower
- Micro direction is calculated by the following:
- UP: If two consecutive 10m candles close above the 20EMA
- DOWN: If two consecutive 10m candles close below the 20EMA
NFP Session Bars
- This feature draws an arrow at the bottom of the chart for each candle that falls within the
NFP session day
- This is useful for identifying NFP Days
Support / Resistance Table
- This displays a table bottom center showing the nearest high and low NFP line level
What is an NFP Day and why is it useful to add to my chart?
- NFP Days are one of the most important data releases monthly
- NFP (Non-Farm-Payroll) is the official release of 80% of the US workforce employed in
manufacturing, construction, and goods
- It does not include those who work on farms, private households, non-profit and
government workers
- Historically these high/low levels for the day create strong support and resistance levels
- Having them displayed on the chart can help identify potential strong levels and pivot points
Full Indicator with all options enabled and identified
Easily update NFP Release Days in the indicator settings
Modify various options: Show/Hide lines, labels, directional indicator tables, values tables
Adjust line width, offsets, colors, font sizes, box widths
Enable individual Directional Indicators and modify colors
Example of full indicator enabled
You can find a list of the NFP Release Schedule on the official US Bureau of Labor Statistics website. This is useful for updating the indicator settings with the correct dates
Yearly Percentage ChangeThe "Yearly Percentage Change" indicator analyzes the long-term performance of an asset over the past year (252 trading days). It helps traders identify the strength of an asset at first glance by the color of the drawing.
It calculates two key values:
The percentage change from the closing price 252 days ago (Year-over-Year performance).
The percentage change from the lowest price of the last 252 days.
These values are visualized with colored lines and a performance label.
📊 Features & Benefits
1️⃣ Yearly Percentage Change (YoY)
Compares the current closing price with the closing price from 252 days ago.
Draws a solid line from the previous year’s close to the current price.
Line color indicates market performance:
🔴 Red → Price increased up to 100%.
🟡 Yellow → Price increased between 100% and 200%.
🟢 Green → Price increased more than 200%.
2️⃣ 252-Day Low & Its Performance
Identifies the lowest price in the last 252 days.
Draws a dashed line from this low to the current price.
Line color reflects the performance since the low:
🔴 Red → Price increased up to 100%.
🟡 Yellow → Price increased between 100% and 200%.
🟢 Green → Price increased more than 200%.
3️⃣ Informative Performance Label
Displays two key values:
"YoY" → Percentage change from the closing price 252 days ago.
"Low252" → Percentage change from the lowest price in the past 252 days.
Label color depends on the YoY movement.
Stock Highs Tracker with IndicesThis Pine Script indicator tracks stock highs and compares them with major indices (Nifty, Nifty 500, CNX-SmallCap, and CNX-MidCap). Here’s what it does:
1. Retrieves and Displays Key Price Metrics
All-Time High (ATH): The highest price the stock has ever reached.
52-Week High: The highest price in the last 252 trading days.
Current Price: The stock’s closing price.
2. Calculates Percentage Differences
% from ATH: How much the stock is below its all-time high.
% from 52WKH: How much the stock is below its 52-week high.
3. Fetches and Compares with Indices
It retrieves similar metrics (ATH, 52-Week High, Current Price, % from ATH, % from 52WKH) for:
Nifty 50
Nifty 500
CNX-SmallCap
CNX-MidCap
This helps in assessing whether the stock's movement aligns with broader market trends.
4. Displays Data in a Table
The script creates a table positioned at the top-right corner.
It color-codes different rows for easy readability.
The table compares the stock’s performance against the major indices.
Use Case
Helps traders and investors track stock highs relative to market indices.
Identifies whether the stock is outperforming or underperforming the broader market.
