Zen Lab Checklist - FNSThe Zen Lab Checklist - FNS is a simple yet powerful visual trading assistant designed to help traders maintain discipline and consistency in their trading routines. This provides a customizable on-screen checklist. This indicator allows traders to verify key conditions before entering a trade which will help identify trade quality and promote structured trading habits. This indicator is ideal for discretionary traders who follow a consistent set of entry rules.
✅ Key Features
Customizable Checklist Items:
Define up to 6 checklist labels with on/off toggle switches to track your trade criteria.
Visual Feedback:
Each checklist item displays a ✅ checkmark when conditions are met or a ❌ cross when not. Colors are visually distinct — green for confirmed, red for not confirmed.
Progress Tracker:
A "Trade Score" footer calculates a "trade score" percentage, helping you quickly assess the trade idea quality and readiness.
Table Position Control:
Easily adjust the table’s position on your chart (e.g., top-right, middle-center, bottom-left) using a dropdown menu.
Custom Styling Options:
- Change background and font color of checklist rows.
- Set font size (tiny to huge).
- Set the header and footer colors separately for visual contrast. (default is green background with white font)
📌 How to Use
- Open the indicator settings.
- Label your checklist items to match your personal or strategy-specific rules.
- Toggle the corresponding switches based on your trade setup conditions.
- Review the on-chart checklist and "Trade Score" to confirm your trade decision.
🎯 Why Use This?
- Discipline: Keeps you aligned with your trading plan.
- Clarity: Clear visual indicator of trade readiness.
- Efficiency: Saves time by centralizing your checklist visually on your chart.
- Custom Fit: Adapt the labels and styling to match your strategy or preferences.
⚠️ Notes
This is a manual checklist, meaning you control the toggle switches based on your judgment.
Ideal for discretionary traders who follow a consistent set of entry rules.
Komut dosyalarını "track" için ara
ICT HTF Candles [Pro] (fadi)The ICT HTF Candles shows you multi-timeframe price action by plotting up to six higher timeframe candles on your chart, scaled to real price levels. Set candle counts per timeframe or toggle them off for a clean view, saving you time switching between charts. This helps you spot trends and reversals quickly, align trades with the market’s direction, and time setups like sweeps or bounces better. From scalping on the 1m to swinging on the 4H, it simplifies ICT and Smart Money Concepts (SMC), revealing trend shifts and institutional moves clearly. Once you use it, trading without this clarity just won’t feel right.
Key Features:
In-Depth Price Action Levels
These levels track ICT PD arrays and confluences across timeframes, making it easy to see how price action flows from higher timeframes and what your setup faces. Is your 5m trade about to run into a 1H bearish order block? Did it bounce off a higher timeframe FVG and create an SMT with a correlated asset? They make your chart a clear roadmap to market structure, helping you find strong setups, save time, and align with institutional moves:
Change in State of Delivery (CISD): In ICT trading, CISD marks potential reversal levels on each timeframe by showing the open of the highest series of up (green) candles for a bullish shift or the open of the lowest series of down (red) candles for a bearish shift. These levels are set at the opening price of the first candle in those runs, highlighting where the market turns. The indicator makes these levels easy to spot across timeframes, so you can track reversal points clearly. You can set your own confirmation criteria—a close or wick above/below the CISD line (bearish/bullish) or a close or wick above/below the high/low—to verify the CISD level cross. When confirmed, there is a high probability that we have a change in trend, and a reversal order block forms. CISD helps you track these reversal levels and confirm market shifts, making multi-timeframe analysis straightforward.
Order Blocks: When a CISD level cross is confirmed, the price is now below a series of up (green) candles or above a series of down (red) candles, marking these candles as order blocks that usually support the new trend direction. The indicator shows these levels clearly across timeframes, making it easy to spot high-probability reversal or consolidation areas. Keep in mind that price may sometimes move to mitigate an imbalance, so use your best judgment based on your multi-timeframe analysis to confirm they meet your trading criteria.
Trend Bias: Traders often struggle figuring out market bias—guessing the trend wrong, losing on trades against the flow, or missing how lower and higher timeframes line up. The Trend Bias feature tracks order blocks and change in state of delivery, displaying bullish or bearish trends for each timeframe to help you choose trades that go with the market’s direction. The indicator shows these trends clearly across timeframes, so you can quickly see if the 5m matches the 1H or if you’re going against the bigger trend. This makes it easier to avoid bad trades and make decisions faster, keeping you on track with setups that follow the main trend.
Immediate Rebalance: When looking at price action, you’ll see the market doesn’t usually leave behind many Fair Value Gaps (FVGs). That’s because the market is efficient and always rebalancing any inefficiencies. When the market starts a strong move, the last candle will usually close above the previous candle high (for up moves) or below the low (for down moves). At this point, the market will do one of two things: immediately rebalance by retracing first, or have a small retracement but leave behind an FVG. The Immediate Rebalance feature tracks rebalance levels across multiple timeframes, clearly showing where price rebalances. This helps traders have a better expectation of how the market may need to retrace and anticipate Power of Three (PO3) setups by being ready for a Judas swing to rebalance the imbalance.
Fair Value Gaps and Volume Imbalances: If the market fails to immediately rebalance, it will usually attempt to come back and rebalance it at a later time. FVGs and VIs give you a clear area where the price might be heading if it starts breaking structure on lower timeframes. These inefficiencies—price gaps (FVGs) or aggressive moves (VIs)—show where the market’s working to fix imbalances. The Fair Value Gaps and Volume Imbalances feature tracks these levels across timeframes.
Previous Candle Levels: The Previous Candle Levels feature marks the high, low, and middle of the prior candle on each timeframe, helping you identify key price levels for sweeps, bounces, or breakouts. It tracks the candle’s high and low as its extremes and the middle as the 50% mark, which you can set to calculate using the high-to-low range or the open-to-close range. These levels can provide tradable setups on lower timeframes.
Smart Money Techniques (SMT): What’s an ICT indicator without an SMT feature to track cracks in correlated assets? The ICT HTF Candles monitors your chosen correlated assets, like EUR/USD and GBP/USD or SQ and NQ, for signs of strength or weakness to use as confluence with other features and build the case for A+ setups. The SMT feature spots divergences when one asset makes a higher high or lower low while the other doesn’t follow, hinting at potential reversals or market shifts. It tests SMT using two immediate candles, since higher timeframes (HTFs) create larger gaps on lower timeframes. Traders can easily see these divergence levels, like a 15m SMT lining up with a 1H order block or CISD, helping you confirm high-probability setups and strengthen trade entries with multi-timeframe confluence.
Market SurferOverview
If you're ready to surf the charts, Market Surfer is your perfect board 🏄♂️
This is my personal go-to indicator, designed to be a true Swiss Army knife for technical analysis - packed with powerful tools that deliver clear signals straight out of the box.
Market Surfer is heavily inspired by Market Cipher and Traders Reality .
Key Features
Market Waves : Visual representation of cyclical price movements to identify trend strength and potential reversals.
Money Flow : Highlights periods of buying and selling pressure, signaling shifts in market sentiment.
Trend Tracker : Real-time trend detection powered by EMA-based analysis, with color-coded signals for bullish and bearish phases.
Vector Candles : Enhanced candle coloring that indicates when market makers and high-frequency traders join the game, helping to identify significant market moves.
Dynamic Alerts : Configurable alerts for key market events, including trend changes, money flow transitions, and vector candle formations.
How It Works
Wave Theory Analysis : Detects cyclical market movements to highlight potential trend continuations or reversals.
PVSRA Analysis : Identifies vector candles when volume surges significantly relative to historical averages, indicating the presence of large institutional players.
EMA Trend Tracking : Tracks the 50-period EMA to determine overall market momentum and colorizes bars accordingly.
Money Flow Indexing : Uses Heikin-Ashi candle structures to measure buying and selling intensity over time.
Recommendations
Although Market Surfer is versatile and works across all markets and timeframes, I recommend:
Use it on 1H timeframe for mid-term trades and 1D timeframe for long-term ones.
Buy when green and sell when red - keep it simple.
Study vector candles before relying on them - they reveal institutional footprints.
Do not use leverage - trade with clarity and peace of mind.
And most importantly - sleep well.
MARKET SYNERGY ANALYZER# MARKET SYNERGY ANALYZER v2.0
Current Date and Time (UTC): 2025-04-04 00:20:33
Author: Timur İnci
## INTRODUCTION
The Market Synergy Analyzer is an advanced technical analysis tool designed to bridge the gap between traditional market analysis and cross-market correlation studies. This sophisticated indicator provides traders and analysts with a comprehensive view of market relationships, particularly focusing on the synergy between BIST (Borsa Istanbul) indices and cryptocurrency markets.
### Core Purpose
- Identifies market correlations across different asset classes
- Tracks relative strength between markets
- Provides normalized price comparison
- Offers multi-timeframe analysis through customizable EMAs
## DEVELOPMENT
### Technical Implementation
1. **Multi-Market Data Processing**
- Real-time data fetching from BIST indices
- Cryptocurrency market integration
- Cross-market price normalization
2. **Advanced Technical Indicators**
- Four-layer EMA system (5, 14, 34, 233 periods)
- Normalized price ratios
- Percentage difference calculations
- Real-time market synergy detection
3. **Visualization Components**
- Color-coded EMA lines for trend identification
- Normalized candlestick charts
- Visual correlation indicators
### Key Features
- **Market Coverage:**
- 30+ BIST indices including XU100, XU030, XU050
- Major cryptocurrency pairs (BTC/USD, BTC/TRY, BTC/EUR)
- Sector-specific indices
- **Analysis Tools:**
- Relative strength comparison
- Cross-market correlation metrics
- Trend deviation alerts
- Multi-timeframe analysis
## CONCLUSION
### Practical Applications
1. **For Traders:**
- Identify market leading sectors
- Spot divergences between markets
- Time entry and exit points
- Track relative market strength
2. **For Portfolio Managers:**
- Monitor sector rotations
- Assess market correlations
- Optimize portfolio diversification
- Track market breadth
3. **For Risk Managers:**
- Monitor market relationships
- Track systemic risk indicators
- Identify potential market disruptions
- Assess cross-market impacts
### Benefits
- **Enhanced Decision Making:**
- Data-driven market analysis
- Reduced emotional bias
- Systematic approach to market analysis
- Comprehensive market view
- **Risk Management:**
- Early warning system for market changes
- Cross-market risk assessment
- Trend deviation alerts
- Portfolio exposure monitoring
- **Market Insights:**
- Deep market understanding
- Sector rotation identification
- Correlation analysis
- Market leadership tracking
### Target Users
1. Professional Traders
2. Portfolio Managers
3. Market Analysts
4. Risk Managers
5. Institutional Investors
## TECHNICAL REQUIREMENTS
- Platform: TradingView
- Pine Script Version: 6.0
- Data Feed: Real-time market data
- Recommended Timeframes: All
- Memory Usage: Optimized (500 bars back)
## FUTURE DEVELOPMENTS
1. Machine Learning Integration
2. Advanced Pattern Recognition
3. Additional Market Coverage
4. Enhanced Alert System
5. Custom Reporting Features
[AlbaTherium] MTF Volatility Edge Zones Premium for Price Action Volatility Edge Zones Premium for Price Action (HTF)
The MTF Volatility Edge Zones Premium for Price Action is an advanced Multiple Timeframes (MTF) trading indicator that combines the power of volume analysis with price action, designed to reveal key volatility zones and assess market participants’ engagement levels . This tool offers unique insights into the dynamics of higher timeframes (HTF), helping traders identify critical zones of decision-making, such as potential reversals, continuations, or breakout areas.
Introduction to the MTF Volatility Edge Zones Premium
This indicator is built upon a deep understanding of the interaction between price action and volume. By mapping volume data onto price action, Volatility Edge Zones Premium (HTF) pinpoints areas of heightened market engagement. These zones represent where buyers and sellers have shown significant activity, allowing traders to identify market intent and anticipate key movements.
Key Features:
Higher Timeframe Analysis: Focuses on significant price and volume interactions over HTFs (e.g., 4H, Daily, Weekly) for a broader perspective on market trends.
Volatility Zones : Highlights areas where market participants show increased activity, signaling potential market turning points or strong continuations.
Volume-Driven Insights: Tracks the behavior of aggressive buyers and sellers, showing their engagement levels relative to price changes.
Overlayon Price Action: Provides a clear and actionable visual representation of volatility and engagement zones directly on price charts.
Chapter 1: Understanding Volatility and Engagement
1.1 Volatility Edge Zones
Volatility Edge Zones are areas where price and volume interact to signal potential changes in market direction or momentum. These zones are derived from high-volume clusters where significant market activity occurs.
1.2 Participant Engagement
Market participants can be categorized based on their level of engagement in these zones:
Aggressive Buyers: Represented by sharp spikes in volume and upward price action.
Aggressive Sellers: Represented by high volume during downward price movement.
Passive Participants: Identified in zones of consolidation or low volatility.
By isolating these behaviors, traders can gain a clearer picture of market sentiment and the relative strength of buyers versus sellers.
Chapter 2: The Principle of Volume and Price Interplay
2.1 Volume as a Leading Indicator
Volume often precedes price movements, and the Volatility Edge Zones Premium captures this relationship by overlaying volume activity onto price charts. This allows traders to:
Identify where volume supports price movement (trend confirmation).
Spot divergences where price moves without volume support (potential reversals).
2.2 The Role of Higher Timeframes
HTFs filter out market noise, revealing macro trends and key levels of engagement. The indicator uses this perspective to highlight long-term volatility zones, helping traders align their strategies with the broader market context.
Chapter 3: Visualizing Volatility Edge Zones
3.1 Color-Coded Zones for Engagement
The indicator uses a color-coded system to represent volatility zones and market engagement levels. These colors correspond to different market conditions:
Red Zones: High selling pressure and aggressive bearish activity.
Blue Zones: High buying pressure and aggressive bullish activity.
Yellow Zones: Transitional zones, representing indecision or balance between buyers and sellers.
White Zones: Neutral areas, where low engagement is observed but could serve as potential breakout points.
3.2 Key Metrics Tracked
Volume Clusters: Areas of concentrated buying or selling activity.
Directional Bias: Net buying or selling dominance.
Momentum Shifts: Sudden changes in volume relative to price action.
These metrics provide actionable insights into market dynamics, making it easier to predict key movements.
Chapter 4: Practical Applications in Trading
4.1 Identifying High-Impact Zones
By focusing on HTFs, traders can use the Volatility Edge Zones Premium to identify high-impact areas where market participants are most engaged. These zones often align with:
Support and Resistance Levels: High-volume areas that act as barriers or catalysts for price movement.
Breakout Points: Zones of heightened volatility where price is likely to escape consolidation.
4.2 Detecting Bull and Bear Campaigns
The indicator highlights early signs of bullish or bearish campaigns by analyzing volume surges in critical volatility zones. These campaigns often signal the beginning of significant trends.
Chapter 5: Real-World Examples and Strategies
5.1 Spotting Market Reversals
Real-world examples demonstrate how the indicator can identify volatility zones signaling potential reversals, allowing traders to enter positions early.
5.2 Riding the Trend
By tracking volatility zones in alignment with HTF trends, traders can maximize profit potential by entering during periods of high engagement and riding the trend until it weakens.
Conclusion
The MTF Volatility Edge Zones Premium for Price Action is an essential tool for traders looking to master market dynamics through a combination of volume and price action analysis. By focusing on higher timeframes and overlaying volatility zones onto price charts, this indicator provides unparalleled insights into market participant engagement.
Whether you’re trading intraday, swing, or long-term strategies, the MTF Volatility Edge Zones Premium equips you with the information needed to make confident and precise trading decisions. Stay tuned as we continue to enhance this tool for even greater accuracy and usability.
Highest High, Lowest Low, Midpoint for Selected Days [kiyarash]Highest High, Lowest Low, and Midpoint for Selected Days Indicator
This custom TradingView indicator allows you to visualize the highest high, lowest low, and the midpoint (average of the highest high and lowest low) over a custom-defined period. You can choose a starting date and specify how many days ahead you want to track the highest and lowest values. This is useful for identifying key levels in a trend and potential support or resistance zones.
How to Use:
Set the Starting Date:
In the settings, input the starting date from which you want to begin tracking the price range. This will be the reference point for your analysis.
Choose the Number of Days to Track:
Specify how many days you want to analyze from the selected starting date. For example, if you want to see the highest high and lowest low over the next 3 days, enter "3" in the settings.
Visualizing the Levels:
The indicator will automatically calculate the highest price and the lowest price over the selected period and draw three lines:
Red Line: Represents the Highest High within the selected period.
Green Line: Represents the Lowest Low within the selected period.
Blue Line: Represents the Midpoint, which is the average of the Highest High and Lowest Low.
Interpretation:
Highest High is a key resistance level, indicating the highest price reached within the specified period.
Lowest Low is a key support level, showing the lowest price during the same period.
Midpoint provides a reference for the average price, often acting as a neutral level between support and resistance.
This tool can help traders to quickly assess potential market ranges, identify breakout or breakdown points, and make informed decisions based on recent price action.
How to Apply:
Add the indicator to your chart.
Adjust the settings to choose your desired starting date and the number of days you want to analyze.
Observe the drawn lines for the Highest High, Lowest Low, and Midpoint levels, and use them to assist in your trading decisions.
MultiTimeFrame Trends and Candle Bias (by MC) v1This MultiTimeFrame Trends and Candle Bias provides the trader a quick glance on how each timeframe is trending and what the current candle bias is in each timeframe.
Interpreting Candle Bias : Green points to a bullish bias while red, a bearish bias for a given specific timeframe. For instance, if the current 1 hour candle bias is red, it means that the last hour, the bias has been bearish. If the Daily candle bias is red, it means that the day in question has been a bearish for this selected symbol.
Interpreting MTF Trends: Trends for each time frame follows the simple moving average of the closing prices for the X number of candles you enter in the input section. So for example, if you decide to enter 6 for the 1-hour time frame, the trend for the last 6 hours will be shown and tracked; if on the Daily time frame, you enter 7, the trend for the last 7 days or 1 week will be shown and tracked. I have provided below (as well as on tooltips in the input section of this indicator) recommendations of what numbers to use depending on what kind of trader you are.
What is a best setup for MultiTimeFrame Trends?
Considerations Across All Timeframes:
- Trading Style : Scalpers and very short-term intraday traders may prefer fewer candles (like 12 to 20), which allow them to react quickly to price changes. Swing traders or those holding positions for a few hours to a couple of days might prefer more candles (like 50 to 120) to identify more stable trends.
- Market Conditions : In volatile markets, using more candles helps smooth out price fluctuations and provides a clearer trend signal. In trending markets, fewer candles might be sufficient to capture the trend.
- Session-Based Adjustments : Traders may adjust their settings depending on the time of day or session they are trading. For example, during high-volatility periods like market open or close, using fewer candles can help capture quick moves.
The number of preceding candles to use for estimating the recent trend can depend on various factors, including the type of market, the asset being traded, the timeframe, and the specific goals of your analysis. However, here are some general guidelines to help you decide:
### 1. **Short-Term Trends (Fast Moving Averages):**
- **5 to 20 Candles**: If you want to capture a short-term trend, typically in day trading or scalping strategies, you might use 5 to 20 candles. This is common for fast-moving averages like the 9-period or 15-period moving averages. It reacts quickly to price changes, but it can also give more false signals due to market noise.
### 2. **Medium-Term Trends (Moderate Moving Averages):**
- **20 to 50 Candles**: For a more balanced approach that reduces the impact of short-term volatility while still being responsive to trend changes, 20 to 50 candles are commonly used. This range is popular for swing trading strategies, where the goal is to capture trends that last several days to weeks.
### 3. **Long-Term Trends (Slow Moving Averages):**
- **50 to 200 Candles**: To identify long-term trends, such as those seen in position trading or for confirming major trend directions, you might use 50 to 200 candles. The 50-period and 200-period moving averages are particularly well-known and are often used by traders to identify significant trend reversals or confirmations.
### 4. **Adaptive Approach:**
- **Market Conditions**: In trending markets, fewer candles might be needed to identify a trend, while in choppy or range-bound markets, using more candles can help filter out noise.
- **Volatility**: In highly volatile markets, more candles might be necessary to smooth out price action and avoid false signals.
### **Experiment and Backtesting:**
The optimal number of candles can vary significantly based on the asset and strategy. It's often a good idea to backtest different periods to see which provides the best balance between responsiveness and reliability in identifying trends. You can use tools like the strategy tester in TradingView or other backtesting software to compare the performance of different settings.
### **General Recommendation:**
- **For Shorter Timeframes** (e.g., 5m, 15m): 10-20 candles might be effective.
- **For Medium Timeframes** (e.g., 1h, 4h): 20-50 candles are often a good starting point.
- **For Longer Timeframes** (e.g., Daily, Weekly): 50-200 candles help capture major trends.
If you're unsure, a common starting point for many traders is the 20-period moving average, which provides a balance between sensitivity and reliability.
Guidelines for 1-Minute Timeframe:
For the 1-minute (1M) timeframe, trend analysis typically focuses on very short-term price movements, which is crucial for scalping and ultra-short-term trading strategies. Here’s a breakdown of the number of preceding candles you might use:
1. **Very Short-Term Trend:**
- **10 to 20 Candles (10 to 20 Minutes):** Using 10 to 20 candles captures about 10 to 20 minutes of price action. This range is suitable for scalpers who need to identify very short-term trends and make quick trading decisions.
2. **Short-Term Trend:**
- **30 to 60 Candles (30 to 60 Minutes):** This period covers 30 to 60 minutes of trading, making it useful for traders looking to understand the trend over a full trading hour. It helps capture price movements and trends that develop within a single hour.
3. **Intraday Trend:**
- **120 Candles (2 Hours):** Using 120 candles provides a view of the trend over approximately 2 hours. This is useful for traders who want to see how the market is trending throughout a larger portion of the trading day.
4. **Extended Intraday Trend:**
- **240 to 480 Candles (4 to 8 Hours):** This longer period gives a broader view of the intraday trend, covering 4 to 8 hours. It’s helpful for identifying trends that span a significant portion of the trading day, which can be useful for traders looking to align with the broader intraday movement.
**Considerations:**
- **High Sensitivity:** The 1-minute timeframe is highly sensitive to market movements, so shorter periods (10 to 20 candles) can capture rapid price changes but may also generate noise.
- **Market Volatility:** In highly volatile markets, using more candles (like 30 to 60 or more) helps smooth out the noise and provides a clearer trend signal.
- **Trading Style:** Scalpers will typically use shorter periods to make very quick decisions. Traders holding positions for a bit longer, even within the same day, may use more candles to get a clearer picture of the trend.
**Common Approaches:**
- **5-Period Moving Average:** The 5-period moving average on a 1-minute chart can be used for extremely short-term trend signals, reacting quickly to price changes.
- **20-Period Moving Average:** The 20-period moving average is a good choice for capturing short-term trends and can help filter out some of the noise while still being responsive.
- **50-Period Moving Average:** The 50-period moving average provides a broader view of the trend and can help smooth out price movements over a longer intraday period.
**Recommendation:**
- **Start with 10 to 20 Candles:** For the most immediate and actionable signals, especially useful for scalping or very short-term trading.
- **Use 30 to 60 Candles:** For a clearer view of trends that develop over an hour, suitable for those looking to trade within a single trading hour.
- **Consider 120 Candles:** For observing broader intraday trends over 2 hours, helping align trades with more significant intraday movements.
- **Explore 240 to 480 Candles:** For a longer intraday perspective, covering up to 8 hours, which can be useful for strategies that span a larger portion of the trading day.
**Practical Example:**
- **Scalpers:** If you’re executing trades every few minutes, start with 10 to 20 candles to get rapid trend signals.
- **Short-Term Traders:** For trends that last an hour or so, 30 to 60 candles will provide a better sense of direction while still being responsive.
- **Intraday Traders:** For broader trends that span several hours, 120 candles will help you see the overall intraday movement.
Experimentation and backtesting with these settings on historical data will help you fine-tune your approach to the 1-minute timeframe for your specific trading strategy and asset.
Guidelines for 5, 15 and 30 min Timeframes:
For shorter timeframes like 5, 15, and 30 minutes, the number of preceding candles you use will depend on how quickly you want to react to changes in the trend and the specific trading style you’re employing. Here's a breakdown for each:
**5-Minute Timeframe:**
1. **Very Short-Term (Micro Trend):**
- **12 to 20 Candles (60 to 100 Minutes):** Using 12 to 20 candles on a 5-minute chart captures 1 to 1.5 hours of price action. This is ideal for very short-term trades, such as scalping, where quick entries and exits are key.
2. **Short-Term Trend:**
- **30 to 60 Candles (150 to 300 Minutes):** This period covers 2.5 to 5 hours, making it useful for intraday traders who want to identify the trend within a trading session. It helps capture the direction of the market during the most active parts of the day.
3. **Intra-Day Trend:**
- **120 Candles (10 Hours):** Using 120 candles gives you a broad view of the trend over two trading sessions. This is useful for traders who want to understand the trend throughout the entire trading day.
**15-Minute Timeframe:**
1. **Very Short-Term:**
- **12 to 20 Candles (3 to 5 Hours):** On a 15-minute chart, this period covers 3 to 5 hours, making it useful for capturing the morning or afternoon trend within a trading day. It’s often used by intraday traders who need to make quick decisions.
2. **Short-Term Trend:**
- **30 to 60 Candles (7.5 to 15 Hours):** This covers almost a full trading day to a day and a half. It’s popular among day traders who want to align their trades with the trend of the day or the previous trading session.
3. **Intra-Week Trend:**
- **120 Candles (30 Hours):** This period spans about two trading days and is useful for traders looking to capture trends that may extend beyond a single trading day but not necessarily for an entire week.
**30-Minute Timeframe:**
1. **Short-Term Trend:**
- **12 to 20 Candles (6 to 10 Hours):** This period captures the trend over a single trading session. It's useful for day traders who want to understand the market’s direction throughout the day.
2. **Medium-Term Trend:**
- **30 to 50 Candles (15 to 25 Hours):** This period covers about two trading days and is useful for short-term swing traders or intraday traders who are looking for trends that might last a couple of days.
3. **Intra-Week Trend:**
- **100 to 120 Candles (50 to 60 Hours):** This longer period captures about 4 to 5 trading days, making it useful for traders who want to understand the broader trend over the course of the week.
**Summary Recommendations:**
- **5-Minute Chart:**
- **12 to 20 candles** for very short-term trades.
- **30 to 60 candles** for intraday trends within a single session.
- **120 candles** for a broader view of the day’s trend.
- **15-Minute Chart:**
- **12 to 20 candles** for short-term trades within a few hours.
- **30 to 60 candles** for trends lasting a full day or more.
- **120 candles** for trends extending over a couple of days.
- **30-Minute Chart:**
- **12 to 20 candles** for understanding the daily trend.
- **30 to 50 candles** for trends over a couple of days.
- **100 to 120 candles** for an intra-week trend view.
Experimenting with these settings and backtesting on historical data will help you find the optimal number of candles for your specific trading style and the assets you trade.
Guidelines for 1H Timeframes:
When analyzing trends on a 1-hour (1H) timeframe, you're focusing on short to medium-term trends, often used by day traders and short-term swing traders. Here’s how you can approach selecting the number of preceding candles:
1. **Short-Term Trend:**
- **14 to 21 Candles (14 to 21 Hours):** Using 14 to 21 candles on a 1-hour chart captures roughly half a day to a full day of trading activity. This range is ideal for day traders who want to identify short-term momentum and trend changes within a single trading day.
2. **Medium-Term Trend:**
- **50 Candles (2 Days):** A 50-period moving average on a 1-hour chart covers about two days of trading. This period is popular for identifying trends that may last a couple of days, making it useful for short-term swing traders.
3. **Longer-Term Trend:**
- **100 Candles (4 Days):** Using 100 candles gives you a broader view of the trend over about four days of trading. This is helpful for traders who want to align their trades with a more sustained trend that spans the entire week.
4. **Very Short-Term (Micro Trend):**
- **7 to 10 Candles (7 to 10 Hours):** For traders looking to capture micro trends or very short-term price movements, using 7 to 10 candles can provide a quick look at recent price action. This is often used for scalping or very short-term intraday strategies.
**Considerations:**
- **Market Volatility:** In highly volatile markets, using more candles (like 50 or 100) helps smooth out noise and provides a clearer trend signal. In less volatile conditions, fewer candles may suffice to capture trends.
- **Trading Style:** If you are a day trader looking for quick moves, shorter periods (like 7 to 21 candles) might be more suitable. For those who hold positions for a day or two, longer periods (like 50 or 100 candles) can provide better trend confirmation.
- **Asset Class:** The optimal number of candles can vary depending on the asset
Guidelines for 4H Timeframes:
When analyzing trends on a 4-hour (4H) timeframe, you’re generally looking to capture short to medium-term trends. This timeframe is popular among swing traders and intraday traders who want to balance between catching more significant market moves and not being too sensitive to noise. Here's how you can approach selecting the number of preceding candles:
1. **Short-Term Trend:**
- **14 to 21 Candles (2 to 3 Days):** Using 14 to 21 candles on a 4-hour chart covers roughly 2 to 3 days of trading activity. This range is ideal for traders looking to capture short-term momentum, especially in markets where price action can move quickly within a few days.
2. **Medium-Term Trend:**
- **50 Candles (8 to 10 Days):** A 50-period moving average on a 4-hour chart represents approximately 8 to 10 days of trading (considering 6 trading periods per day). This period is popular among swing traders for identifying trends that develop over the course of one to two weeks.
3. **Longer-Term Trend:**
- **100 Candles (16 to 20 Days):** Using 100 candles gives you a broader view of the trend over about 3 to 4 weeks. This is useful for traders who want to align their trades with the more sustained market direction while still remaining responsive to recent changes.
**Considerations:**
- **Market Conditions:** In a trending market, fewer candles (like 14 or 21) may be enough to identify the trend, allowing for quicker responses to price movements. In a more volatile or range-bound market, using more candles (like 50 or 100) can help smooth out noise and avoid false signals.
- **Trading Style:** If you are an intraday trader, shorter periods (14 to 21 candles) may be preferable, as they allow for quick entries and exits. Swing traders might lean towards the 50 to 100 candle range to capture trends that last several days to a few weeks.
- **Volatility:** The higher the volatility of the asset, the more candles you might want to use to ensure that the trend signal is not too erratic.
**Common Approaches:**
- **20-Period Moving Average:** A 20-period moving average on a 4-hour chart is often used by traders to capture short-term trends that align with momentum over the past few days.
- **50-Period Moving Average:** The 50-period moving average is widely used on the 4-hour chart to track medium-term trends. It provides a good balance between reacting to new trends and avoiding too many whipsaws.
- **100-Period Moving Average:** The 100-period moving average offers insight into the longer-term trend on the 4-hour chart, helping to filter out short-term noise and confirm the overall market direction.
**Recommendation:**
- **Start with 20 Candles for Short-Term Trends:** This period is useful for capturing quick movements and short-term trends over a couple of days.
- **Use 50 Candles for Medium-Term Trends:** This is a standard setting that provides a balanced view of the market over about 1 to 2 weeks.
- **Consider 100 Candles for Longer-Term Trends:** This helps to identify more significant trends that have persisted for a few weeks.
**Practical Example:**
- **Intraday Traders:** If you’re focused on shorter-term trades and need to react quickly, using 14 to 21 candles will help you capture the most recent momentum.
- **Swing Traders:** If you’re looking to hold positions for several days to a few weeks, starting with 50 candles will give you a clearer picture of the trend over that period.
- **Position Traders:** For those holding positions for a longer duration within a month, using 100 candles helps to align with the broader trend while still being responsive enough for 4-hour price movements.
Backtesting these settings on your chosen asset and strategy will help refine the optimal number of candles for your specific needs.
Guidelines for Daily Timeframes:
When analyzing trends on a daily timeframe, you're typically focusing on short to medium-term trends. Here’s how you can determine the optimal number of preceding candles:
1. **Short-Term Trend:**
- **10 to 20 Candles (2 to 4 Weeks):** Using 10 to 20 daily candles captures about 2 to 4 weeks of price action. This is commonly used for identifying short-term trends, ideal for swing traders or those looking for quick entries and exits within a month.
2. **Medium-Term Trend:**
- **50 Candles (2 to 3 Months):** The 50-day moving average is a classic choice for capturing medium-term trends. This period covers about 2 to 3 months of trading days and is often used by swing traders and investors to identify the trend over a quarter or a season.
3. **Long-Term Trend:**
- **100 to 200 Candles (4 to 9 Months):** For longer-term trend analysis, using 100 to 200 daily candles gives you a broader perspective, covering approximately 4 to 9 months of price action. The 200-day moving average, in particular, is widely used by investors to determine the overall long-term trend and to assess market health.
**Considerations:**
- **Market Volatility:** In more volatile markets, using a larger number of candles (e.g., 50 or 200) helps smooth out noise and provides a more reliable trend signal. In less volatile markets, fewer candles might be sufficient to capture trends effectively.
- **Trading Style:** Day traders might prefer shorter periods (like 10 or 20 candles) for quicker signals, while position traders and longer-term swing traders might opt for 50 to 200 candles to focus on more sustained trends.
- **Asset Class:** The optimal number of candles can also depend on the asset class. For example, equities might have different optimal settings compared to forex or cryptocurrencies due to different volatility characteristics.
**Common Approaches:**
- **20-Period Moving Average:** The 20-day moving average is a popular choice for short-term trend analysis. It’s widely used by traders to identify the short-term direction and to make quick trading decisions.
- **50-Period Moving Average:** The 50-day moving average is a staple for medium-term trend analysis, often used as a key indicator for both entry and exit points in swing trading.
- **200-Period Moving Average:** The 200-day moving average is crucial for long-term trend identification. It's commonly used by investors and is often seen as a major support or resistance level. When the price is above the 200-day moving average, the market is generally considered to be in a long-term uptrend, and vice versa.
**Recommendation:**
- **Start with 20 Candles for Short-Term Trends:** This period is commonly used for identifying recent trends within the last few weeks.
- **Use 50 Candles for Medium-Term Trends:** This provides a good balance between responsiveness and stability, making it a good fit for most swing trading strategies.
- **Use 200 Candles for Long-Term Trends:** This period is ideal for long-term analysis and is particularly useful for investors looking at the overall market trend.
**Practical Example:**
- If you’re trading equities and want to catch short-term trends, start with 20 candles to identify trends that have developed over the past month.
- If you’re more focused on medium to long-term trends, consider using 50 or 200 candles to ensure you’re aligned with the broader market direction.
Experimenting with these periods and backtesting on historical data will help you determine the best setting for your particular strategy and the asset you're analyzing.
Guidelines for Weekly Timeframes:
When analyzing trends on a weekly timeframe, you're typically looking at intermediate to long-term trends. Here's how you might approach selecting the number of preceding candles:
1. **Intermediate-Term Trend:**
- **13 to 26 Candles (3 to 6 Months):** Using 13 to 26 weekly candles corresponds to a period of 3 to 6 months. This range is effective for identifying intermediate-term trends, which is suitable for swing traders or those looking to hold positions for several weeks to a few months.
2. **Medium-Term Trend:**
- **26 to 52 Candles (6 Months to 1 Year):** For a broader view, you might use 26 to 52 weekly candles. This represents 6 months to 1 year of price data, which is helpful for understanding the market’s behavior over a medium-term period. This range is commonly used by swing traders and position traders who are interested in capturing trends lasting several months.
3. **Long-Term Trend:**
- **104 Candles (2 Years):** Using 104 weekly candles gives you a 2-year perspective. This can be useful for long-term trend analysis, particularly for investors or those looking to identify major trend reversals or continuations over a more extended period.
**Considerations:**
- **Market Type:** In trending markets, fewer candles (like 13 or 26) may work well, capturing the trend more quickly. In choppier or range-bound markets, using more candles can help reduce noise and avoid false signals.
- **Asset Class:** The optimal number of candles can vary depending on the asset class. For example, equities might benefit from a slightly shorter lookback period compared to more volatile assets like commodities or cryptocurrencies.
- **Volatility:** If the market or asset you're analyzing is highly volatile, using a higher number of candles (like 52 or 104) can help smooth out price fluctuations and provide a more stable trend signal.
**Common Approaches:**
- **20-Period Moving Average:** A 20-week moving average is popular among traders for identifying the intermediate trend. It’s responsive enough to capture significant trend changes while filtering out short-term noise.
- **50-Period Moving Average:** The 50-week moving average is often used to identify longer-term trends and is commonly referenced in both technical analysis and by longer-term traders.
- **200-Period Moving Average:** Although less common on weekly charts compared to daily charts, a 200-week moving average can be used to identify very long-term trends, such as multi-year market cycles.
**Recommendation:**
- **Start with 26 Candles:** This gives you a half-year perspective and is a good starting point for most analyses on a weekly timeframe. It balances sensitivity to recent trends with the ability to capture more significant, sustained movements.
- **Adjust Based on Backtesting:** You can increase the number of candles to 52 if you find that you need more stability in the trend signal, or decrease to 13 if you're looking for a more responsive signal.
Experimenting with different periods and backtesting on historical data can help determine the best setting for your specific strategy and asset class.
Guidelines for Monthly Timeframes:
For analyzing trends on monthly timeframes, you would generally be looking at much longer periods to capture the broader, long-term trend. Here's how you can approach it:
1. **Long-Term Trend (Primary Trend):**
- **12 to 24 Candles (1 to 2 Years):** Using 12 to 24 monthly candles corresponds to a period of 1 to 2 years. This is typically sufficient to identify long-term trends and is commonly used by long-term investors or position traders who are interested in the overall direction of the market or asset over multiple years.
2. **Very Long-Term Trend (Secular Trend):**
- **36 to 60 Candles (3 to 5 Years):** To capture very long-term secular trends, you might use 36 to 60 monthly candles. This would represent a time frame of 3 to 5 years and is often used for understanding macroeconomic trends or very long-term investment strategies.
3. **Ultra Long-Term Trend:**
- **120 Candles (10 Years):** In some cases, especially for assets like indices or commodities that are analyzed over decades, using 120 monthly candles can help in identifying ultra long-term trends. This would be appropriate for strategic investors or those looking at generational market cycles.
**Considerations:**
- **Volatility and Stability:** Monthly timeframes generally smooth out short-term volatility, but they can also be slow to react to changes. Using a larger number of candles (e.g., 24 or more) can help ensure that the trend signal is robust and not prone to frequent whipsaws.
- **Asset Class:** The choice of period might also depend on the asset class. For instance, equities might require fewer candles compared to commodities or currencies, which can exhibit different trend dynamics.
- **Market Phases:** In different market phases (bullish, bearish, or sideways), the number of candles might need to be adjusted. For instance, in a strongly trending market, fewer candles might still provide a reliable trend indication, whereas in a more volatile or ranging market, more candles might be needed to smooth out the data.
**Common Approaches:**
- **50-Period Moving Average:** A 50-month moving average is popular among long-term traders and investors for identifying the primary trend. It offers a balance between capturing the overall trend and being responsive enough to significant changes.
- **200-Period Moving Average:** Although rarely used on a monthly chart due to the long timeframe it represents (over 16 years), it can be useful for identifying very long-term secular trends, especially for broad market indices or in macroeconomic analysis.
**Recommendation:**
- **Start with 24 Candles:** This gives you a 2-year perspective on the trend and is a good starting point for most long-term analyses on monthly charts. Adjust upwards if you need a broader trend view, depending on the stability and nature of the asset you're analyzing.
Experimentation and backtesting with your specific asset and strategy can help fine-tune the exact number of candles that work best for your analysis on a monthly timeframe.
Inside Candle and mother candle range with alert++>>This script allows you the inside bar candle and the cnadle is shown in white.
The range of the mother candle is identified and tracked until it breaks.
Once the first range is over ridden then the next similar pattern will be occured and the tracking will be done for the mother candle latest occurrence.
It also has the alert mechanism where you can go and the alert for the indicator in Alerts.
5 min is the most preferrable time frame and while saving the alert Note to save the time frame of the chart. For which ever time frame is saved the Alert will be triggered for the same .
And when th inside bar is triggered it throws an alert condition. this alert condition has to be configured in your alerts and will be buzzing on the screen.
Oct 20
Release Notes: updated with Mother candle top and bottom lines of previous occurrences and tracks the current latest Inside bar mother candle
Release Notes: this script allows you the inside bar cnadle and the cnadle is shown in white. highlighter is configurable and line colors as well.
Smart Money Concepts(v0.01) - SoldiSmart Money Concepts
We are very pleased to be releasing our latest addition to the Soldi tools, called Smart Money Concepts. What this indicator was built to be is a guideline and tool to help a trader develop the mental mind state of a Smart Money Trader. Picking up on the digital footprints that they might have missed! This is our first iteration of this tool but we have so so much more coming to bring to this tool! So much that we might need to release 2 scripts to be able to efficiently fit it all in. As always Soldi/MMCFX always try to raise the bar on what is possible with PineScript and what advanced concepts we can bring to the retail market with ease, this project was insanely fun trying to get together and we spent a lot of months talking with and doing sessions with very well versed traders who only specialize and solely trade live with Smart Money/ICT Concepts. After many months of talking with and working with these traders we believe we have put together a very unique tool that any SMC trader would love to have in their tool belt.
What is Smart Money Concepts?
Smart Money Concepts (SMC) is the practice of trying to track the digital footprints left by Market Makers and large money traders like Institutional bodies and brokers. I believe this concept was originally developed by Inner Circle Trading (ICT), who has some great great content for free on YouTube. To my knowledge he was the father of the concepts being taken mainstream to retail individuals. Since then, there has been many other who have released content on these theories. For the sake of congruency we have only developed these tools based off the knowledge and practices taught by ICT.
What is Included within this tool?
What is currently Included with this tool are the following.
Market Structure - This includes Break of Structures (BOS) and Change of Characters (CHoCH), It was really important for us to define the different shifts that SMC traders track and follow so we built a unique customizable system that allows the traders to track these Market Structure shifts in real-time. Part of this module includes the option to plot the High/Low labels, by putting this settings on you will mark out the swing points as their respective Higher High(HH), High Low(HL), Lower Low(LL) and Lower High(LH) . This feature is a great way to help familiarize yourself with spotting these instances, there is a slight lag due to the nature of the calculations for tracking the Swing Points. By default we track 4 left bars and 4 right bars, on the 5th bar if the swing point returns true you will see the label plot itself. If you have a higher bar count you will need to wait till x+1 to see the label be plotted. eg. 7 bar count on the left and right, you will need to wait till the 8th bar to see the label be plotted.
By changing the bar counts you also change how the Market Structure module picks up the Market shifts (BOS/CHoCH)
4 bar left, 4 bar right example:
7 bar left, 7 bar right example:
Liquidity Sweep - This part of the Market Structure module is still being worked on and built out, this feature is meant to help a trader identify potential liquidity sweeps that have taken place past or present by switching the bar color to the user defined color (default yellow). There are many different types of liquidity sweeps that can take place and we are still working on the different profiles of these! More profiles will be added to the the updates in the future to help identify these potential trade areas
Liquidity Sweep example:
Trend Bars - This part of the Market Structure module helps traders identify structure trends based on the breaks of existing structure. Again this will shift as you play with the bar count settings, low bar count will identify faster swing points and shifts where as higher bar counts will identify longer term structures. By having this setting on it will change the bar colors to Red(Bearish) or Blue(Bullish) by default, we recommend to change your candles border settings to make this more visible.
7 bar left, 7 bar right. With High Low Labels and Trend Bars
Fair Value Gaps - This module will track the Fair Value Gaps and Imbalances that will take place in real-time. Once the final candle closes it will plot the FVG. Unlike other FVG indicators on TradingView we hold and store ALL the FVG's that take place, other indicators will only hold on to x amount of the FVG's and as new ones enter the list the old ones get bumped out. We didn't like this idea, so what we did was instead store all of the FVG's but create a threshold to where they would be plotted, eg. if you set the threshold to 4% it will only show you the FVG's within a 4% range from the current price. This way you still have access to all the data with out compromising but it helps you focus on the current data at hand.
Fair Value Gap/Imbalance - 3% threshold example
Fair Value Gap/Imbalance - 8% threshold example
Order Blocks - This was an especially interesting module to build, just like the FVG's we found that a lot if not all the authors on TradingView haven't actually been coming close to tracking and plotting true ICT style Order blocks. We set out to change that though, again through a unique approach we have built this Order Block indicator. To also comment on the other scripts out there that claim to track Order Blocks, not a SINGLE script mentions anything about Validated Order Blocks , which was especially important to all the SMC traders I have talked to and had help from building this indicator. Just like the FVG piece this also has a 'threshold' plot, but not only that it gives you the option to look at "No Validation" and "Validated" Order Blocks. With soon another style of Validation to choose from. If you choose the "Validated" option the script will actively seek Order Blocks that have a POI/liquidity sitting above it. I also want to make it clear that based on your bar count settings the order blocks will differ, as they are also based from structure breaks!
Order Blocks with "No Validation" example
Order Blocks with "Validation" example
Advanced Session Tracking - We always seek to out do what has been done and what we have already done, that being said we built our Advanced Session Tracking module to follow each user define Session's Open, High, Low, Close, Liquidity threshold and extend that into the next session . As per our last KillZone indicator we also included the Forward Plotting feature which will plot the defined sessions 24 hours in advance vs only showing you real time. Many if not all Session tracking tools on TradingView only show you real-time and in the past when the define sessions are but we find that to be a very silly practice because as SMC traders you know how important it is the relation between time and price. Instead of reacting to the sessions you and prepare for the sessions ahead of time anticipating when price might react to time.
note: There is a small bug with tracking the crypto based sessions, this is working to be fixed for the next update, check the release notes to see when the fix occurs
Session Background plots with forward plotting example
Session Backgrounds with High/Lows and Liquidity range example
What is to come with the updates?
We are always looking to improve anything, even if it is just a fraction better. That is why we are continuing to work with our SMC traders to refine the concepts, profiles, coding as well as the logic behind the calculations.
Here is a list of what we are planning and working on to be released in the updates to come!
Intra-Day Profiling - Each day has a profile, what we want to achieve is to track and predict these profiles
Liquidity Scanner - There are different types of liquidity that form and we want to be able to find and track these
Smart Trend Alerts - We want to combine quant methods into SMC to provide high probability trade ideas
User Suggestions - We are always open to work with the community to bring features they want
If it's not Soldi, it isn't money
MTF Bitfinex Longs vs. Shorts Support/Resistance [checkm8]Hello and welcome to my multi-timeframe support and resistance indicator based on margin longs and shorts on Bitfinex :D
The premise of the script is simple. It draws support and resistance levels based on large margin movements ( effectively showing the break-even points of those positions ), where:
Longs opening and shorts closing is bullish pressure
Longs closing and shorts opening is bearish pressure
You can select your desired timeframe for the script to show the levels on. The script draws two sets of lines, one based on medium-sized movements and another based on large movements, where you can also manually input the size of the movements for it to track. By default, the script is optimized for 1-hour timeframes on BTCUSD, where the medium sized movements are set to bullish/bearish pressures of over 500 BTC, and large movements based on pressures of over 1000 BTC.
If you choose to use a different currency pair (ex. LTCUSD, ETCUSD, EOSUSD, etc..) you must adjust the volume that the script tracks , as tracking something like a 500 margin long in XRPUSD is useless. This also applies to timeframes , as timeframes lower than 1 hour may require smaller input values, while larger timeframes will require larger movements.
In addition, there is an input for the source. I recommend leaving this setting at hlc3 , because this will capture a more appropriate break-even points for the S/R levels.
A few tips:
If the current price is under a bullish support/resistance level , this implies that the bullish margin positions are underwater (the price is below their long break-evens), ie. shorts closed at the top or longs were entered at the top
If the current price is above a bullish support/resistance level , this implies that the bullish margin positions are in profit and will act as support (they will support their long break-even points)
If the current price is under a bearish support/resistance level , this implies that the bearish margin positions are in profit and will act as resistance (the price is below their short break-evens)
If the current price is above a bearish support/resistance level , this implies that the bearish margin positions are underwater (the price is above their short break-evens), ie. shorts entered at the bottom or longs were closed at the bottom
Happy trading and feel free to reach out with feedback and suggestions! :D
Special thanks goes to oh92 for his input and feedback on the idea. Check out his profile and his vast selection of indicators in the links below!
www.tradingview.com
depthhouse.com
[MAD] FVG with LTF-POC/TPOOverview
The Fair Value Gap (FVG) Detector is a precision tool designed to automatically identify, draw, and track market inefficiencies. These gaps, also known as imbalances, often act as powerful magnets for future price action.
This indicator handles the entire lifecycle of an FVG: from its creation and extension, to the moment it is first touched, and through its entire mitigation process. To add an even deeper layer of analysis, it can now optionally plot two types of micro-analysis lines for the middle candle of the FVG pattern: a volume-based Point of Control (LTF-POC) and a time-based Time Price Opportunity (LTF-TPO). These high-precision lines pinpoint the most significant price levels within the imbalance itself.
By providing a clean and objective visualization of these critical price zones, the FVG Detector gives traders a clear framework for spotting high-probability setups and understanding how the market returns to areas of inefficiency to become balanced once again.
█ How It Works
The indicator’s logic is built on precise detection, dynamic visualization, and intelligent state tracking to provide a comprehensive view of market imbalances.
⚪ The FVG Detection Engine
At its core, the indicator uses a classic three-candle pattern to identify FVGs. This mechanical definition removes all subjectivity:
Bullish FVG: A gap is identified when the high of the first candle is lower than the low of the third candle. The space between these two prices creates the bullish FVG.
Bearish FVG: A gap is identified when the low of the first candle is higher than the high of the third candle. The space between these two prices creates the bearish FVG.
⚪ Dynamic Drawing and Mitigation
Once an FVG is detected, the indicator automatically draws a colored box to represent the gap. This box is then managed through its entire lifecycle:
Extension: If enabled, the FVG box extends forward in time with each new candle, acting as a visible, forward-looking zone of interest.
Partial Mitigation Trigger: The moment price first "touches" the gap, the box changes color to signal that it is no longer a fresh, unmitigated zone. The statistics table counts this as a "Partially Mitigated" event.
Shrinking FVG: As price moves further into the gap, the colored box dynamically shrinks, providing a real-time visual of how much of the imbalance has been filled.
Historical Outline: An optional secondary outline box is drawn to preserve the FVG's original size. This outline stops extending when the FVG is first touched, leaving a permanent historical marker.
⚪ Optional LTF Analysis for Added Precision
The indicator can look "inside" the FVG's middle candle to find its most significant price levels.
LTF-POC (Volume-Based): Using data from a lower timeframe, it analyzes the volume profile of the FVG-creating candle to find the single price level from the lower-timeframe bar with the highest trading volume.
LTF-TPO (Time-Based): It also identifies the Time Price Opportunity by dividing the candle's price range into distinct "bins." The script counts how many lower-timeframe price ticks occurred in each bin, and the TPO line is drawn at the center of the busiest bin.
Visual Confluence: These are drawn as distinct horizontal lines (defaulting to orange for POC and yellow for TPO) that extend and are managed alongside the FVG's historical outline, serving as precise levels of interest within the broader FVG zone.
█ Why This Indicator is Different
While many traders can spot FVGs manually, this indicator offers a significant edge through the possibility of the lowertimeframe analysis and showing the syntetic TPO or POCs for the relevant candles.
⚪ Automated and Objective
The market moves fast, and manually drawing FVGs is impractical and prone to error. This tool automates the entire process.
Never Miss a Gap: The detector impartially scans every three-candle sequence, ensuring no FVG is missed.
No Subjectivity: The rules for detection, mitigation, and LTF analysis are based on fixed mathematical models, removing subjective judgment.
Multi-Timeframe Clarity: The indicator works flawlessly on any timeframe, allowing you to maintain a consistent view of market structure.
⚪ Visualizing Market Memory
This tool does more than just draw boxes; it tells a story. Watching a box change color and shrink provides a visual of market dynamics in action. The optional historical outlines and LTF analysis lines build a "map" on your chart, showing where significant reactions and high-liquidity zones occurred in the past, which provides invaluable context for future price movements.
█ How to Use
⚪ Identifying High-Probability Zones
The primary use of the FVG Detector is to identify high-probability zones where price may react.
Entries: Unmitigated (fresh) FVGs can serve as powerful entry zones. Traders may look for price to return to a bullish FVG to take a long position, or to a bearish FVG to take a short position.
Targets: An FVG in your path can also act as a logical profit target. For example, if you are in a long position, you might take profit as price fills a nearby bearish FVG above you.
⚪ Confluence and Confirmation
FVGs are most powerful when they align with other forms of technical analysis. Look for FVGs that have "confluence" with:
Market Structure: A bullish FVG found at a key support level or after a bullish break of structure is a higher-probability setup.
Order Blocks: An FVG that overlaps with a bullish or bearish order block creates a very potent point of interest.
Premium/Discount Zones: FVGs found deep in a premium (for shorts) or discount (for longs) area of a trading range often yield strong reactions.
The LTF Lines (POC & TPO): Use these lines as a source of internal confluence. While the FVG gives you a zone, the POC and TPO give you precise levels within that zone. The POC shows where the highest volume was traded, while the TPO shows where price spent the most time. Confluence between these two lines can signal an extremely strong level.
█ Settings
Max Number of FVGs to Display: Controls how many active FVGs are kept on the chart to prevent clutter and maintain performance.
Extend Unmitigated FVGs: When enabled, FVG boxes will extend to the right until price touches them.
Show Bullish/Bearish FVGs: Toggles the visibility of bullish or bearish FVGs.
Show FVG Labels: Toggles the visibility of the "FVG" text labels.
Keep Mitigated Outlines: If checked, the historical outline box (and its associated POC/TPO lines) will remain on the chart even after the FVG is completely filled.
Show Statistics: Toggles the visibility of the statistics table, which tracks total, partly mitigated, and fully mitigated FVGs.
Show LTF-TPO (Time-Based): Toggles the calculation and display of the Time Price Opportunity line.
Show LTF-POC (Volume-Based): Toggles the calculation and display of the Point of Control line.
Use Custom LTF for Analysis: Check this to manually select a timeframe for the POC/TPO calculation. If unchecked, the script auto-selects a lower timeframe.
Lower Timeframe: The specific lower timeframe to use when the "Custom LTF" box is checked.
Magnifier (Bars per Slice): Controls how the script auto-selects a lower timeframe (higher number = lower timeframe). Only active when "Custom LTF" is unchecked.
█ The Logic Explained
This indicator uses a clear, rules-based system based on mathematical and conditional principles.
The 3-Candle FVG Pattern
The detection engine precisely identifies FVGs by comparing the price extremes of a three-candle sequence. For a bullish FVG, it confirms that the high of the first candle is strictly below the low of the third candle. For a bearish FVG, the low of the first candle must be strictly above the high of the third. This leaves an objective, unfilled gap in the market.
The Mitigation and Shrinking Process
Once an FVG is created, the indicator monitors it on every subsequent bar. The moment a candle's price action enters the FVG's zone, it's flagged as "partially mitigated," and its color changes. The script then continues to track how far price pushes into the gap, dynamically shrinking the box to visually represent the remaining imbalance.
Lower-Timeframe (LTF) Analysis Explained
To add precision, the indicator performs a micro-analysis of the middle candle of the FVG pattern. This is achieved by mathematically deconstructing that single candle using data from a smaller timeframe.
The lower timeframe is determined either manually or automatically via the Magnifier. The Magnifier works by dividing the chart's current timeframe. For example, on a 60-minute chart, a Magnifier of 60 tells the indicator to perform its analysis using 1-minute data (60÷60=1).
Once the LTF data is obtained, two calculations are performed:
LTF Point of Control (Volume-Based): This method seeks the price of maximum commitment. The indicator analyzes the volume of every single lower-timeframe bar within the main candle and identifies the one bar with the highest trading volume. The closing price of that specific high-volume bar is designated as the POC.
LTF Time Price Opportunity (Time-Based): This method finds the price where the market spent the most time trading. The process is a form of price distribution analysis:
The total price range (high to low) of the main candle is measured.
This range is divided into 40 equal price zones, or "bins". For a candle with a $2 range, each bin would represent a price slice of 5 cents
The indicator then counts how many of the lower-timeframe closing prices fall within each of the 40 bins.
The TPO line is drawn at the midpoint of the single bin that contained the most prices, representing the "busiest" price level.
Time-Based Drawing for Accuracy
To ensure perfect alignment across all historical data and chart reloads, all drawings are anchored to the precise timestamp of the bar, not its sequential position on the chart. This robust method guarantees that all zones remain fixed and accurate regardless of how much historical data is loaded.
█ Disclaimer
Investors are fully responsible for any investment decisions they make.
Have fun trading :-)
52SIGNAL RECIPE CME Gap Support & Resistance Detector═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ Overview
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is an advanced technical indicator that automatically detects and visualizes all types of price gaps occurring in the CME Bitcoin futures market on trading charts. It captures not only gaps formed during weekend and holiday closures, but also those created during the daily 1-hour maintenance period on weekdays, and sudden price gaps resulting from economic indicator releases or news events.
The core value of this indicator lies beyond simply displaying gaps; it visualizes how these price discontinuities act as powerful support and resistance zones that influence future price movements. In real markets, these CME gaps have a high probability of either being "filled" or functioning as important reaction zones, providing traders with valuable entry and exit signals.
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◆ Key Features
• Comprehensive Gap Detection: Detects gaps in all market conditions
- Weekend/holiday closure gaps
- Weekday 1-hour maintenance period gaps
- Gaps from economic indicators/news events causing rapid price changes
• Intuitive Color Coding:
- Blue: When gaps act as support (price is above the gap)
- Red: When gaps act as resistance (price is below the gap)
- Gray: Filled gaps (price has completely passed through the gap area)
• Real-time Role Switching: Automatically changes colors as price moves above/below gaps, visualizing support↔resistance role transitions
• Status Tracking System: Automatically tracks whether gaps are "Filled" or "Unfilled"
• Dynamic Boxes: Clearly marks gap areas with boxes and dynamically changes colors based on price movement
• Precise Labeling: Accurately displays the price range of each gap to support trader decision-making
• Smart Filtering: Improved algorithm that solves consecutive gap detection issues for complete gap tracking
• Key Usage Points:
- Pay special attention when price approaches gap areas
- Color changes in gaps signal important market sentiment shifts
- Areas with multiple clustered gaps are particularly strong reaction zones
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◆ User Guide: Understanding Gap Roles Through Colors
■ Color System Interpretation
• Blue Gaps (Support Role):
▶ Meaning: Current price is above the gap, making the gap act as support
▶ Trading Application: Consider buying opportunities when price approaches blue gap areas
▶ Psychological Meaning: Buying pressure likely to increase at this price level
• Red Gaps (Resistance Role):
▶ Meaning: Current price is below the gap, making the gap act as resistance
▶ Trading Application: Consider selling opportunities when price approaches red gap areas
▶ Psychological Meaning: Selling pressure likely to increase at this price level
• Gray Gaps (Filled Gaps):
▶ Meaning: Price has completely passed through the gap area, filling the gap
▶ Reference Value: Still valuable as reference for past important reaction zones
▶ Trading Application: Used to confirm trend strength and identify key psychological levels
■ Understanding Color Transitions
• Blue → Red Transition:
▶ Meaning: Price has fallen below the gap, changing its role from support to resistance
▶ Market Interpretation: Breakdown of previous support strengthens bearish signals
▶ Trading Application: Consider potential further decline; check gap bottom as resistance during bounces
• Red → Blue Transition:
▶ Meaning: Price has risen above the gap, changing its role from resistance to support
▶ Market Interpretation: Breakout above previous resistance strengthens bullish signals
▶ Trading Application: Consider potential further rise; check gap top as support during pullbacks
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◆ Practical Application Guide
■ Basic Trading Scenarios
• Blue Gap Support Strategy:
▶ Entry Point: When price approaches the top of a blue gap and forms a bounce candle
▶ Stop Loss: Below the gap bottom (if price completely breaks down through the gap)
▶ Take Profit: Previous swing high or next resistance level above
▶ Probability Enhancers: Gap aligned with major moving averages, oversold RSI, strong bounce candle pattern
• Red Gap Resistance Strategy:
▶ Entry Point: When price approaches the bottom of a red gap and forms a rejection candle
▶ Stop Loss: Above the gap top (if price completely breaks up through the gap)
▶ Take Profit: Previous swing low or next support level below
▶ Probability Enhancers: Gap aligned with major moving averages, overbought RSI, strong rejection candle pattern
■ Advanced Pattern Applications
• Multiple Gap Cluster Identification:
▶ Several gaps in close price proximity form extremely powerful support/resistance zones
▶ Same-color gap clusters: Very strong single-direction reaction zones
▶ Mixed-color gap clusters: High volatility zones with bidirectional reactions expected
• Gap Sequence Analysis:
▶ Consecutive same-direction gaps: Strong trend confirmation signal
▶ Increasing gap size pattern: Trend acceleration signal
▶ Decreasing gap size pattern: Trend weakening signal
• News/Indicator Release Gap Utilization:
▶ Gaps formed immediately after economic indicators: Measure market shock intensity
▶ Gap color change observation: Track market reinterpretation of news
▶ Gap filling speed analysis: Evaluate news impact duration
• Key Attention Points:
▶ Pay special attention to the chart whenever price approaches gap areas
▶ Gap color changes signal important market sentiment shifts
▶ Areas with multiple concentrated gaps are likely to show strong price reactions
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◆ Technical Foundation
■ CME Gap Formation Principles
• Key Gap Formation Scenarios:
▶ Weekend Closures (Friday close → Monday open): Most common CME gap formation point
▶ Holiday Closures: Gaps occurring due to CME closures on US holidays
▶ Weekday 1-hour Maintenance: Gaps during daily CME maintenance period (16:00-17:00 CT)
▶ Major Economic Indicator Releases: Gaps from rapid price changes during US employment reports, FOMC decisions, CPI releases, etc.
▶ Significant News Events: Gaps from regulatory announcements, geopolitical events, market shocks, etc.
• Psychological Importance of Gaps:
▶ Zones where price formation did not occur, representing imbalance between buying/selling forces
▶ Gap areas have no actual trading, resulting in accumulated potential orders
▶ Reflect institutional investor positions and liquidity distribution in the CME futures market
■ Support/Resistance Mechanism
• Psychological Level Formation Mechanism:
▶ Unexecuted order accumulation in gap areas: Loss of ordering opportunity at those price levels
▶ Liquidity imbalance: No trading occurred in gap areas, creating liquidity voids
▶ Institutional activity: Institutional participants in CME futures markets pay attention to these gap areas
• Evidence of Support/Resistance Function:
▶ Statistical gap fill phenomenon: Most gaps eventually "fill" (price returns to gap area)
▶ Gap-based reactions: Increased frequency of price reactions (bounces/rejections) when reaching gap areas
▶ Market psychology impact: Influences traders' perceived value and fair price assessment
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◆ Advanced Configuration Options
■ Visualization Settings
• Show Gap Labels (Default: On)
▶ On: Displays price ranges of each gap numerically for precise support/resistance level identification
▶ Off: Hides labels for visual cleanliness
• Color Settings
▶ Filled Gap Color: Gray tones, shows gaps already traversed by price
▶ Unfilled Gap Color - Support: Blue, shows gaps currently acting as support
▶ Unfilled Gap Color - Resistance: Red, shows gaps currently acting as resistance
■ Data Management Settings
• Filled Gap Storage Limit (Default: 10)
▶ Sets maximum number of filled gaps to retain on chart
▶ Recommended settings: Short-term traders (5-8), Swing traders (8-12), Position traders (10-15)
• Maximum Gap Retention Period (Default: 12 months)
▶ Sets period after which old unfilled gaps are automatically removed
▶ Recommended settings: Short-term analysis (3-6 months), Medium-term analysis (6-12 months), Long-term analysis (12-24 months)
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◆ Synergy with Other Indicators
• Volume Profile: Greatly increased reaction probability when CME gaps align with Volume Profile value areas
• Fibonacci Retracements: Formation of powerful reaction zones when major Fibonacci levels coincide with gap areas
• Moving Averages: Areas where major moving averages overlap with CME gaps act as "composite support/resistance"
• Horizontal Support/Resistance: Very strong price reactions expected when historical key price levels align with CME gaps
• Market Sentiment Indicators (RSI/MACD): Assess reaction probability by checking oversold/overbought conditions when price approaches gap areas
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◆ Conclusion
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is not merely a gap display tool, but an advanced analytical tool that visualizes important support/resistance areas where price may strongly react, using intuitive color codes (blue=support, red=resistance). It detects all types of gaps without omission, whether from weekend and holiday closures, weekday 1-hour maintenance periods, important economic indicator releases, or market shock situations.
The core value of this indicator lies in clearly expressing through intuitive color coding that gaps are not simple price discontinuities, but psychological support/resistance areas that significantly influence future price action. Traders can instantly identify areas where blue gaps act as support and red gaps act as resistance, enabling quick and effective decision-making.
By referencing the color codes when price approaches gap areas to predict possible price reactions, and especially interpreting color transition moments (blue→red or red→blue) as signals of important market sentiment changes and integrating them into trading strategies, traders can capture higher-probability trading opportunities.
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※ Disclaimer: Like all trading tools, the CME Gap Detector should be used as a supplementary indicator and not relied upon alone for trading decisions. Past gap reaction patterns cannot guarantee the same behavior in the future. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ 개요
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 CME 비트코인 선물 시장에서 발생하는 모든 유형의 가격 갭(Gap)을 자동으로 감지하여 트레이딩 차트에 시각화하는 고급 기술적 지표입니다. 주말과 공휴일 휴장은 물론, 평일 1시간 휴장 시간, 그리고 중요 경제지표 발표나 뉴스 이벤트 시 발생하는 급격한 가격 갭까지 누락 없이 포착합니다.
이 인디케이터의 핵심 가치는 단순히 갭을 표시하는 것을 넘어, 이러한 가격 불연속성이 미래 가격 움직임에 영향을 미치는 강력한 지지(Support)와 저항(Resistance) 영역으로 작용한다는 원리를 시각화하는 데 있습니다. 실제 시장에서 이러한 CME 갭은 높은 확률로 미래에 "매꿔지거나" 중요한 반응 구간으로 기능하여 트레이더에게 귀중한 진입/퇴출 신호를 제공합니다.
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◆ 주요 특징
• 전방위 갭 감지: 모든 시장 조건에서 발생하는 갭을 감지
- 주말/공휴일 휴장 갭
- 평일 1시간 휴장 시간 갭
- 경제지표/뉴스 이벤트 시 급격한 가격 변동 갭
• 직관적 색상 구분:
- 파란색: 갭이 지지 역할을 할 때(가격이 갭 위에 있을 때)
- 빨간색: 갭이 저항 역할을 할 때(가격이 갭 아래에 있을 때)
- 회색: 이미 매꿔진 갭(가격이 갭 영역을 완전히 통과)
• 실시간 역할 전환: 가격이 갭 위/아래로 이동함에 따라 지지↔저항 역할 전환을 자동으로 색상 변경으로 시각화
• 상태 추적 시스템: 갭이 "매꿔짐(Filled)" 또는 "매꿔지지 않음(Unfilled)" 상태를 자동 추적
• 다이나믹 박스: 갭 영역을 명확한 박스로 표시하고 가격 움직임에 따라 동적으로 색상 변경
• 정밀 레이블링: 각 갭의 가격 범위를 정확히 표시하여 트레이더의 의사결정 지원
• 스마트 필터링: 연속적 갭 감지 문제를 해결하는 개선된 알고리즘으로 누락 없는 갭 추적
• 핵심 활용 포인트:
- 가격이 갭 영역에 접근할 때 특별히 주목하세요
- 갭 색상 변경 시점은 중요한 시장 심리 변화 신호입니다
- 여러 갭이 밀집된 영역은 특히 강한 반응이 예상되는 구간입니다
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◆ 사용 가이드: 색상으로 이해하는 갭 역할
■ 색상 시스템 해석법
• 파란색 갭 (지지 역할):
▶ 의미: 현재 가격이 갭 위에 있어 갭이 지지선으로 작용
▶ 트레이딩 응용: 가격이 파란색 갭 영역으로 하락 접근 시 매수 기회 고려
▶ 심리적 의미: 매수세력이 이 가격대에서 수요 증가 가능성
• 빨간색 갭 (저항 역할):
▶ 의미: 현재 가격이 갭 아래에 있어 갭이 저항선으로 작용
▶ 트레이딩 응용: 가격이 빨간색 갭 영역으로 상승 접근 시 매도 기회 고려
▶ 심리적 의미: 매도세력이 이 가격대에서 공급 증가 가능성
• 회색 갭 (매꿔진 갭):
▶ 의미: 가격이 갭 영역을 완전히 통과하여 갭이 매꿔진 상태
▶ 참조 가치: 과거 중요 반응 구간으로 여전히 참고 가치 있음
▶ 트레이딩 응용: 추세 강도 확인 및 주요 심리적 레벨 식별에 활용
■ 색상 전환 이해하기
• 파란색 → 빨간색 전환:
▶ 의미: 가격이 갭 아래로 하락하여 갭이 지지에서 저항으로 역할 변경
▶ 시장 해석: 이전 지지선 붕괴로 약세 신호 강화
▶ 트레이딩 응용: 추가 하락 가능성 고려, 반등 시 갭 하단 저항 확인
• 빨간색 → 파란색 전환:
▶ 의미: 가격이 갭 위로 상승하여 갭이 저항에서 지지로 역할 변경
▶ 시장 해석: 이전 저항선 돌파로 강세 신호 강화
▶ 트레이딩 응용: 추가 상승 가능성 고려, 조정 시 갭 상단 지지 확인
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◆ 실전 활용 가이드
■ 기본 트레이딩 시나리오
• 파란색 갭 지지 전략:
▶ 진입 시점: 가격이 파란색 갭 상단에 접근하여 반등 캔들 형성 시
▶ 손절 위치: 갭 하단 아래(갭 완전히 하향 돌파 시)
▶ 이익실현: 이전 스윙 고점 또는 상방 다음 저항선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매도 RSI, 강한 반등 캔들
• 빨간색 갭 저항 전략:
▶ 진입 시점: 가격이 빨간색 갭 하단에 접근하여 거부 캔들 형성 시
▶ 손절 위치: 갭 상단 위(갭 완전히 상향 돌파 시)
▶ 이익실현: 이전 스윙 저점 또는 하방 다음 지지선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매수 RSI, 강한 거부 캔들
■ 고급 패턴 활용법
• 다중 갭 클러스터 식별:
▶ 여러 갭이 근접한 가격대에 있다면 더욱 강력한 지지/저항 존
▶ 동일 색상 갭 클러스터: 매우 강력한 단일 방향 반응 구간
▶ 색상 혼합 갭 클러스터: 심한 변동성과 양방향 반응 예상 구간
• 갭 시퀀스 분석:
▶ 연속적인 동일 방향 갭: 강한 추세 확인 신호
▶ 갭 크기 증가 패턴: 추세 가속화 신호
▶ 갭 크기 감소 패턴: 추세 약화 신호
• 뉴스/지표 발표 후 갭 활용:
▶ 경제지표 발표 직후 형성된 갭: 시장 충격 강도 측정
▶ 갭 색상 변화 관찰: 시장의 뉴스 재해석 과정 파악
▶ 갭 매꿈 속도 분석: 뉴스 임팩트의 지속성 평가
• 핵심 주목 포인트:
▶ 가격이 갭 영역에 접근할 때마다 차트를 특별히 주목하세요
▶ 갭 색상이 변경되는 시점은 중요한 시장 심리 변화를 의미합니다
▶ 여러 갭이 밀집된 영역은 가격이 강하게 반응할 가능성이 높습니다
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◆ 기술적 기반
■ CME 갭의 발생 원리
• 주요 갭 발생 상황:
▶ 주말 휴장 (금요일 종가 → 월요일 시가): 가장 일반적인 CME 갭 형성 시점
▶ 공휴일 휴장: 미국 공휴일에 따른 CME 휴장 시 발생
▶ 평일 1시간 휴장: CME 시장의 일일 정비 시간(16:00~17:00 CT) 동안 발생
▶ 주요 경제지표 발표: 미 고용지표, FOMC 결정, CPI 등 발표 시 급격한 가격 변동으로 인한 갭
▶ 중요 뉴스 이벤트: 규제 발표, 지정학적 이벤트, 시장 충격 등으로 인한 급격한 가격 변화
• 갭의 심리적 중요성:
▶ 가격 형성이 이루어지지 않은 구간으로, 매수/매도 세력의 불균형 영역
▶ 갭 구간에는 실제 거래가 없었기 때문에 잠재적 주문이 누적되는 영역
▶ 기관 투자자들의 선물 포지션과 유동성 분포가 반영된 중요한 가격 레벨
■ 지지/저항으로 작용하는 원리
• 심리적 레벨 형성 메커니즘:
▶ 갭 구간의 미실행 주문 축적: 갭 발생 시 해당 가격대에 대한 주문 기회 상실
▶ 유동성 불균형: 갭 구간에는 거래가 없었으므로 유동성 공백 발생
▶ 기관 투자자 활동: CME 선물 시장의 기관 참여자들은 이러한 갭 영역에 관심
• 지지/저항 작용 증거:
▶ 통계적 갭 필 현상: 대부분의 갭은 미래에 "매꿔짐"(가격이 갭 구간으로 회귀)
▶ 갭 기반 반응: 갭 영역에 도달 시 가격 반응(반등/거부) 발생 빈도 증가
▶ 시장 심리 영향: 트레이더들의 인지된 가치와 공정가격 평가에 영향
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◆ 고급 설정 옵션
■ 시각화 설정
• 라벨 표시 설정 (Show Gap Labels) (기본값: 켜짐)
▶ 켜짐: 각 갭의 가격 범위를 숫자로 표시하여 정확한 지지/저항 레벨 확인
▶ 꺼짐: 시각적 깔끔함을 위해 라벨 숨김
• 색상 설정
▶ 매꿔진 갭 색상(Filled Gap Color): 회색 계열, 이미 가격이 통과한 갭 표시
▶ 미매꿔진 갭 색상 - 지지(Support): 파란색, 현재 지지 역할을 하는 갭
▶ 미매꿔진 갭 색상 - 저항(Resistance): 빨간색, 현재 저항 역할을 하는 갭
■ 데이터 관리 설정
• 매꿔진 갭 저장 한도 (Filled Gap Storage Limit) (기본값: 10)
▶ 이미 매꿔진 갭을 최대 몇 개까지 차트에 유지할지 설정
▶ 권장 설정: 단기 트레이더(5-8), 스윙 트레이더(8-12), 포지션 트레이더(10-15)
• 최대 갭 보관 기간 (Maximum Gap Retention Period) (기본값: 12개월)
▶ 오래된 미매꿔진 갭을 자동으로 제거하는 기간 설정
▶ 권장 설정: 단기 분석(3-6개월), 중기 분석(6-12개월), 장기 분석(12-24개월)
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◆ 다른 지표와의 시너지
• 볼륨 프로파일: CME 갭과 볼륨 프로파일의 밸류 영역 일치 시 반응 확률 크게 증가
• 피보나치 리트레이스먼트: 주요 피보나치 레벨과 갭 영역 일치 시 강력한 반응 존 형성
• 이동평균선: 주요 이동평균선과 CME 갭이 겹치는 영역은 "복합 지지/저항"으로 작용
• 수평 지지/저항: 과거 중요 가격대와 CME 갭 일치 시 매우 강력한 가격 반응 예상 가능
• 시장 심리 지표(RSI/MACD): 갭 영역 접근 시 과매수/과매도 확인으로 반응 가능성 판단
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◆ 결론
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 단순한 갭 표시 도구가 아닌, 가격이 강하게 반응할 수 있는 중요한 지지/저항 영역을 직관적인 색상 코드(파란색=지지, 빨간색=저항)로 시각화하는 고급 분석 도구입니다. 주말과 공휴일 휴장 시간뿐만 아니라, 평일 1시간 휴장 시간, 중요 경제지표 발표, 그리고 시장 충격 상황에서 발생하는 모든 유형의 갭을 누락 없이 감지합니다.
인디케이터의 핵심 가치는 갭이 단순한 가격 불연속성이 아닌, 미래 가격 행동에 중요한 영향을 미치는 심리적 지지/저항 영역임을 직관적인 색상 코드로 명확히 표현하는 데 있습니다. 파란색 갭은 지지 역할을, 빨간색 갭은 저항 역할을 하는 영역을 즉각적으로 식별할 수 있어 트레이더가 빠르고 효과적인 의사결정을 내릴 수 있도록 도와줍니다.
갭 영역에 접근할 때마다 색상 코드를 참고하여 가능한 가격 반응을 예측하고, 특히 색상 전환이 일어나는 순간(파란색→빨간색 또는 빨간색→파란색)은 중요한 시장 심리 변화 신호로 해석하여 트레이딩 전략에 통합한다면, 더 높은 확률의 거래 기회를 포착할 수 있을 것입니다.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, CME Gap Detector는 보조 지표로 사용되어야 하며 단독으로 거래 결정을 내리는 데 사용해서는 안 됩니다. 과거의 갭 반응 패턴이 미래에도 동일하게 작용한다고 보장할 수 없습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Break and Retest High Probability StrategyWhat does the script Do:
Script uses Break and Retest strategy on Key Levels like PMH, PDH, PMH, PML and ORB levels. Based on the strength of the candle at these key levels a position is taken and based on Dynamic stop loss, we scale out of the position at key levels. Scale out can also happen based on the QQQ trend.
How it does it:
First the script identifies No Trade Zone - which is higher of PMH and PDH for Highest position of No Trade Zone, and lower of PML and PDL. Any trades within this doesnt take any Trade entries.
Entries are taken in only Regular Trading Hours.
Candle strength is constantly tracked for break out these levels and then wait for retest levels based on Volatality on that day with ATR levels. If it fails to come back to retest - it is ignored else at retest levels strength of the bar is tracked. Scaling out can be done based on various Input parameters given in the strategy. VWAP and 9 EMA is also tracked for taking an entry or not.
How to use it:
Make sure to use various parameters within Inputs like Candle Strength at vwap, QQQ confluence to tweak and see what works best for the time frame and stock.
In the Multi Time frame construct - if you are on 5min time frame the candle stregth can be tracked in lower time frame which can be 1, 2, 3 min etc. This is also configurable within the Inputs.
Make sure to use the levels and values displayed in the table to see real time data.
Also, You can just have the Long entry, Short Entry and Plot variables selected in Style section to declutter the chart. Feel free to reuse the chart
what makes it original.
Strategy Parameters
• Is representative of real world trading conditions.
Break and Retest at key levels while following various confluence set ups makes it completely real world and battle tested indicator. All the parameters used within Inputs and Style are completely known Market variables.
• Is compatible with the markets their strategy is written for.
This is best for doing scalping where momentum and volatality is the king.
• Produces realistic results.
Like any strategy nothing is 100% guaranteed. But the key is to monitor the Profit factor and exit at right positions even if it means lesser number of trades.
This strategy is tested against lot of Tech stocks like nvidia, tesla, amazon against QQQ confluence.
. to help traders interpret the results they publish with their strategy,
Please feel free to tweak the parameters to tweak the strategy and see what works best for the stock you are placing this indicator on.
I primarily take the default parameters of this strategy to do scalping. The Multitime frame restest ( which goes to lower timeframe to check the strength of bars - which is again configurable by Fixed Retest bars and Retest Time Frame. I would recommend you to use Enable candle pattern filter to further refine the trades to be high probability.
This is a high probability set up - so please dont expect many trades from each stock. The strategy only gets triggered when it sees valid signal as per parameters set on the strategy.
HTF Candle Extremes Zigzag (Drawn on LTF)HTF Candle Extremes Zigzag (Drawn on LTF)
This indicator plots zigzag lines connecting the extremes (highs and lows) of Higher Timeframe (HTF) candles directly on your lower timeframe (LTF) chart. It visually highlights trend changes and HTF candle structure by drawing colored lines representing uptrends and downtrends based on HTF candle extremes.
"Key Features"
Higher Timeframe Tracking: Select any HTF to track candle extremes using the built-in security function.
Zigzag Lines: Connects HTF candle lows to highs in an intuitive zigzag pattern.
Trend Indication: Uptrend lines are green, downtrend lines are red (customizable colors).
Customizable Line Width: Adjust the thickness of the zigzag lines for better visibility.
Drawn on Lower Timeframe: All lines appear on your active lower timeframe chart, allowing easy visual correlation.
"How It Works"
The script fetches the open, high, low, close, and time data of the specified HTF candle. It detects new HTF bars and identifies trend direction changes by comparing the highs and lows of consecutive HTF candles.
- When an uptrend is detected, vertical lines are drawn from low to high of the HTF candle, connected to the previous extreme low.
- When a downtrend is detected, vertical lines are drawn from high to low, connected to the previous extreme high.
- Transitions between trends are highlighted by connecting the last extreme of the previous trend to the current extreme, creating a clean zigzag pattern.
Usage Notes:
Ideal for traders who want to visualize HTF market structure and trend changes while analyzing price action on lower timeframes.
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Daily Profiler NFPDaily Profiler NFP
Overview
The Daily Profiler NFP is a comprehensive trading tool designed to track, visualize, and analyze price action during Non-Farm Payroll (NFP) release days. By capturing and displaying high, low, and mid-range levels from these significant market events, traders gain valuable support and resistance reference points that often influence future price movements.
Key Features
Monthly NFP Tracking: Captures and displays the high, low, and mid-range levels for each month's NFP release day
Customizable NFP Dates: Easily set the correct NFP release date for each month of the year
Dynamic Support & Resistance: Identifies the closest NFP levels above and below current price with color-coded boxes
Multi-Timeframe Compatibility: Works seamlessly across intraday, daily, and weekly charts
Comprehensive Visualization Options:
High, low, and mid-range horizontal lines
Price labels with customizable display options
Support and resistance boxes with adjustable opacity and size
NFP range extension boxes showing potential influence zones
Trading Applications
Identify key support and resistance levels based on NFP day price action
Anticipate potential reversal or continuation zones when price approaches historical NFP levels
Develop trading strategies around recurring patterns at NFP price levels
Use as confluence with other technical analysis methods for higher probability trades
Customization
Extensive customization options allow you to:
Adjust color schemes and line styles
Modify box heights and extensions
Show or hide specific elements (high/low lines, midpoint lines, labels, prices)
Set hour offset to match exact NFP release timing
Customize label styles and positions
Perfect for futures, forex, and equity index traders who recognize the significance of NFP releases on market dynamics. The Daily Profiler NFP provides a structured framework for incorporating these major economic events into your technical analysis.
Psychological Levels Indicator🧠 Psychological Levels Indicator
The Psychological Levels Indicator is a dynamic intraday trading tool that automatically identifies, adapts, and projects psychological price zones based on market structure and volatility. It integrates a layered calculation engine built around weekly price behavior to deliver actionable levels and trend bias.
🔍 Core Methodology
Weekly Foundation Logic:
The first psychological high and low of the current week form the initial range (spread). This spread becomes the anchor for the rest of the week’s levels.
Breakout-Based Scaling:
The indicator detects the largest directional breakout from the previous week's psychological high or low. This move determines how many dynamic levels are generated for the current week, scaled proportionally to the current spread.
Directional Bias Formation:
Typically, the tool respects levels mostly in one direction (based on the breakout bias) early in the week, while adjusting if a stronger directional move is established midweek.
✨ What Makes It Unique
Automatic Asset Detection:
Automatically adjusts calculations based on whether the chart is Forex, Crypto, Stocks, or Indices – with an optional manual override.
Dynamic Extra Levels:
Extra psychological levels are calculated using dynamic array logic, scaling with weekly volatility. This mirrors a manual process developed by trader Dave (HaighTech), now fully automated.
Live Weekly Tracking:
Users can choose to automatically track this week’s evolving high/low range or manually input fixed boundaries.
Midpoints & Multi-Tiered Zones:
Each main and extra level is optionally split into midpoints, providing granular insight and tighter control.
⚙️ Features & Usage
Custom Display Controls:
Independently toggle standard levels, extra breakout levels, labels, and historical data.
Smart Session Handling:
Correct timezone & DST awareness for NY, UK, and Sydney markets. Weekly/daily start logic adapts per asset type.
Advanced Volatility Mapping:
Includes weekly high, low, and average levels, as well as a rolling monthly average based on the prior breakout structure.
Alerts & Backtesting:
Alerts trigger on price interaction with key levels. Historical plots enable review and strategy refinement.
✅ Ideal For Traders Who Want To:
Trade using psychological zones and adaptive breakout logic
Project early-week levels and adapt to real-time market direction
Use auto-adjusting support/resistance levels tailored to volatility
Leverage manually inspired but automated zone mapping for faster decision-making
Price Range Retrace statisticks [HERMAN]📈 Price Range Retrace Stats
This indicator is designed to help traders quantify how often price retraces to a selected equilibrium level (e.g., 50%) after sweeping the high/low of a defined time-based range.
It is especially useful for modeling sessions such as the London Opening Range (e.g., 02:00–03:00 NY time), checking if price sweeps that range in a subsequent window (e.g., 03:00–04:00), and returns to its 50% level.
✅ What does it do?
Lets you define multiple time ranges (e.g. London, NY Open, custom ranges).
Draws the range box for the selected session time.
Calculates and plots the retracement level (default 50%).
Checks if price sweeps the high/low of the range before retracing.
Tracks success rate, average distance, sample size and displays these stats in a table.
⚙️ Key Features:
Fully customizable time windows (range box time and retracement check time).
-Configurable retracement % (default 50% equilibrium).
-Optional sweep condition (only count retracements if price sweeps the high/low first).
-Clean, theme-adaptive stats table with success rates and averages.
-Supports two independent levels (e.g. London and NY sessions).
📊 Why use it?
This tool turns session-based setups into statistical models:
Backtest session strategies over many days.
Quantify edge with % success over time.
Validate trading ideas with data.
Use probabilities instead of gut feeling.
Example insight you can track:
“Between 3–4 AM NY time, price swept the high/low of the 2–3 AM London Opening Range and returned to its 50% equilibrium level in 64% of 234 sessions.”
📌 Ideal for:
ICT concepts (Opening Range, Sweep, Equilibrium Return).
Algo developers wanting probabilities.
Anyone who wants data-driven confirmation for session range mean-reversion.
Instructions:
1️⃣ Enable the desired Price Range (1 or 2).
2️⃣ Set your Range Time (e.g. 02:00–03:00).
3️⃣ Set your Retracement Check Time (e.g. 03:00–04:00).
4️⃣ Choose retracement % (e.g. 50%).
5️⃣ Watch the box and retrace line plot on chart.
6️⃣ Review the success statistics in the table.
FeraTrading Compression Flow v1🧠 Overview:
The FeraTrading Compression Flow v1 identifies moments in the market where volatility contracts and directional momentum builds beneath the surface. It detects when price compresses into a tight range, then confirms when momentum, volatility, and trend alignment combine to signal a high-probability breakout. Once all conditions are met, the indicator activates a persistent directional bias, shown visually with colored dynamic bands.
This isn’t just another squeeze or Bollinger-style compression indicator—it adds multi-layered confirmation logic and unique bias persistence mechanics, helping traders stay aligned with trend-based breakout phases rather than just spotting volatility drops.
⚙️ How It Works:
🔹 Volatility Compression Detection:
Uses a relative ATR filter to detect when the market is in contraction.
Compares short-term range behavior to a longer-term average using a customizable multiplier.
Avoids standard band-width logic (like BB/KC), instead relying on raw candle volatility for more adaptive compression detection.
🔹 Breakout Confirmation Logic:
A breakout is confirmed only when all of the following align:
Strong Candle Body: Filters out indecision bars and ensures clear directional intent.
EMA Trend Structure: Fast EMA must be properly aligned with the slow EMA, and price must close beyond the fast EMA in the breakout direction.
Range Burst: Breakout candle must exceed historical range norms, confirming an actual volatility expansion—not a false breakout.
Each layer is required—no single condition is enough—creating a highly selective confirmation system that filters out noise.
🔹 Bias Persistence Mechanism:
Once a valid breakout is confirmed, the script activates a persistent directional bias (bullish or bearish).
The bias does not flip unless an opposing breakout confirms.
This eliminates premature resets and allows traders to hold trend alignment visually until true reversal conditions are met.
🎨 Visual Behavior:
📈 Band Calculations:
Bands are drawn using smoothed highs and lows, plus or minus a scaled ATR-based buffer.
They adjust dynamically to both price scale and volatility, expanding and contracting naturally with the market.
🎨 Band Coloring:
Green bands = Bullish breakout confirmed
Red bands = Bearish breakout confirmed
No color = Compression detected, but no directional breakout yet
These are not support/resistance levels. They are momentum flow visualizations, providing a clean, unobtrusive way to track trend phases post-compression.
💡 What Makes It Unique:
Multi-confirmation logic: Combines compression, candle strength, trend direction, and volatility surge into one system.
Bias memory: Maintains directional bias until structurally invalidated—not just until the next indecisive bar.
Volatility-scaled bands: Makes this system flexible across all assets and timeframes, without constant tweaking.
No lagging oscillators: Instead of using MACD/RSI, it reads real-time momentum through body-to-range relationships and EMA stacking.
Minimal input, maximum output: With only two adjustable inputs, the script remains simple to deploy while offering deep contextual information.
✅ How to Use It:
Add the indicator to any chart (15m and lower preferred).
Watch for band color changes:
Green = Bullish breakout phase
Red = Bearish breakout phase
Use band direction as a trend alignment filter.
Avoid trading against active bias unless part of a confirmed reversal setup.
Adjust the Input Multiplier to fine-tune compression strictness (lower = stricter, higher = more permissive).
This indicator is especially useful following periods of consolidation and works well when layered with structure, supply/demand zones, or volume overlays.
💎 Why It’s Worth Paying For
The FeraTrading Compression Flow v1 offers a uniquely structured approach to breakout detection. While most compression indicators only highlight low-volatility zones, this script confirms breakouts through confluence, activates persistent bias, and provides a visual flow overlay that dynamically adjusts to the market.
Key distinctions include:
A custom ATR-based compression filter that adapts to any asset
Breakout confirmation from price structure, EMAs, and body dominance
A bias persistence engine that filters out false flips and maintains trend visibility
Dynamic bands that scale based on both price and volatility—not just moving averages
This combination cannot be replicated with built-in indicators or open-source scripts. It reflects real trade experience, structural logic, and volatility awareness built into a visual format designed to reduce overtrading and improve signal trust.
✅ Compliance & Originality
This script was built entirely in-house using original logic. Every calculation—from compression detection to bias activation—is proprietary and coded from scratch. No open-source libraries or reused components are present. Band rendering, bias conditions, and signal architecture were designed specifically for this model. EMA's and ATR were used in filter logic, yet they are only 2 of many filters used, all of the others being fully custom built.
The script uses no external data sources and is built entirely on native Pine Script logic.
⚠️ Risk Disclaimer & Access Policy
This tool is a visual momentum and structure tracking overlay. It does not predict future price movement and should not be used in isolation to make trading decisions. Always apply proper risk management, position sizing, and market awareness.
Past performance does not guarantee future results.
🔒 Why This Script Is Invite-Only and Closed-Source
The compression detection logic, multi-step breakout confirmation, and persistent bias engine represent proprietary intellectual property developed for high-clarity directional tracking.
Releasing this logic would expose the core detection methods to copycats and diminish its edge. Access is restricted to protect:
The custom compression logic
The confluence-based breakout filters
The bias state engine and dynamic band visualizations
Closed-source protection ensures this tool retains its uniqueness and value for serious traders.
Algoway V4.2📌 Algoway V4.2 — Multi-layered Strategy Powered by ADX, MACD & PSO
Overview
Algoway V4.2 is a layered algorithmic strategy designed for volatility-rich assets like cryptocurrencies. While some core components (such as PSO, MACD, and ADX oscillators) are adapted from known indicator models, the original logic, state tracking, and Candle Strength Oscillator (CSO) are fully custom-developed.
This strategy is not a simple combination of tools — it implements a conditional entry-exit logic system based on ADX zone transitions, momentum structure, and MACD/PSO signal synchronization, enhanced by custom-built CSO filtering.
🧠 Key Modules and How They Work Together
PSO (Premium Stochastic Oscillator)
Used to confirm local oversold/overbought pressure. Acts as a directional filter.
MACD (Normalized)
Volatility-normalized MACD values allow consistent signal detection even on volatile pairs. It triggers entries when momentum begins shifting.
ADX Zonal Logic
Divides the market into Range / MidRange / Trend Peak zones. Entries are allowed only under specific transitions — e.g., long entries only in yellow (low volatility) zones or in trend climax zones under certain pullbacks.
CSO (Candle Strength Oscillator) — Custom Module
Designed to measure real candle momentum and price structure consistency. It avoids false breakouts and filters trend fatigue.
🔁 How Logic Works
Strategy maintains state variables to track entry type and zone.
Exit conditions depend on the entry origin: entries from "Range" exit in "Peak", while "Peak" entries exit during pullbacks or mid-strength trend reversals.
Additional logic prevents entries when signals are not aligned across modules, minimizing noise.
Optional CSO module acts as a final microstructure confirmation before executing MACD-based midpoint entries.
📊 Example Parameters (for 5M crypto scalping)
Each module is tuned to respond to 5-minute crypto volatility:
Stochastic: fast response, tight thresholds
MACD: shortened EMAs, normalized
ADX: traditional smoothing, custom thresholds for zone switching
CSO: candle-based dynamic filter with visual zone mapping
🧪 Conclusion
Algoway V4.2 is not a script merger — it is a custom logic engine using familiar technical components but governed by a proprietary decision model, with additional filters and dynamic variable tracking.
It’s suitable for scalping or swing setups, and the internal logic is optimized for real trading conditions, not just visual backtests.
KilluminatiFX DashboardThe KilluminatiFX Dashboard is designed to help traders visually track key Market Maker concepts such as Peak Formations, Daily Range (DR), Average Daily Range (ADR), and ADR projections — all in one compact table, aligned with your chart in real-time.
What This Indicator Does:
Identifies Peak Formation Highs (PFH) and Peak Formation Lows (PFL) using a 3-bar swing pattern on the daily chart.
Highlights Potential PFs early using body and close criteria for the middle candle.
Plots horizontal lines at PF levels and extends them across the day for visual context.
Projects ADR, 2xADR, and 3xADR levels from the PF candle to measure potential price expansion.
Tracks:
Current Daily Range (DR)
3-day ADR
Distance from PF (in pips)
Percentage of 3xADR covered
Dashboard Columns:
PAIR The symbol being analyzed
PF H/L Current Peak Formation status
DR Today's range (high - low)
ADR 3-day average daily range
3xADR Target expansion zone (ADR × 3)
PF Dist Pips from current price to PF
3xADR% % of 3xADR covered from the PF
Color Coding Explained
PF H/L Column
Background: Red, Text: White → "0 PFH" = Potential Peak Formation High
Background: Green, Text: White → "0 PFL" = Potential Peak Formation Low
Background: Red, Text: Black → "1 PFH", "2 PFH", etc. = Confirmed PF High, aged by days
Background: Green, Text: Black → "1 PFL", "2 PFL", etc. = Confirmed PF Low, aged by days
No background color, Text: Black → No peak formation found
"0 PFH/PFL" indicates a fresh unconfirmed potential peak.
"1 PFH", "2 PFH", etc., denote confirmed peaks and how many days have passed since formation.
DR Column (Daily Range)
Text: Green → DR is less than 40% of ADR - **Optimal Asian Range**
Text: Yellow → DR is between 40% and 99% of ADR - **Asia Range Exceeded**
Text: Red → DR exceeds ADR - **ADR Exceeded**
This column helps you determine if the market has enough range to consider setups or if it has already expanded too far.
PF Dist Column (Distance from PF)
Measured in pips from the current close to the PF level
Not color-coded, but useful for measuring overextension
3xADR % Column (Distance vs 3×ADR)
Text: Green → Less than 40% of 3×ADR reached -Suggests price is early in its expansion
Text: Yellow → Between 40% and 60% of 3×ADR - Indicates the move is developing
Text: Red → Between 60% and 90% of 3×ADR -Watch for signs of exhaustion or reversals
Text: White → Over 90% of 3×ADR - Indicates price is overextended; high probability of reversal or consolidation
Line and Label Indicators
Solid red horizontal line = Confirmed Peak Formation High
Solid green horizontal line = Confirmed Peak Formation Low
Dotted black lines = ADR-based projected targets (ADR, 2×ADR, 3×ADR)
Red downward label = PFH marker
Green upward label = PFL marker
Support and Resistance Power Channel [ChartPrime]The Support and Resistance Power Channel indicator helps traders visualize key support and resistance zones, along with buy and sell power within those zones. By identifying the highest and lowest prices within a defined range, this indicator provides insight into potential price reversals and market strength. It calculates the strength of buy and sell pressure within the zones and includes additional features like midline values and delayed signals to reduce false breakouts.
⯁ KEY FEATURES AND HOW TO USE
⯌ Support and Resistance Zones :
This indicator identifies dynamic support (lower zone) and resistance (upper zone) levels, allowing traders to easily visualize key price levels. These zones are customizable with settings for the length of the channel and how far the zones extend into the future. The zones can be used to predict areas of potential price reversal or consolidation.
⯌ Buy and Sell Power :
Within the upper resistance zone, the indicator calculates Sell Power based on the number of bearish candles, while the lower support zone calculates Buy Power based on bullish candles. This feature helps traders understand the strength of buying or selling activity within each zone.
Example of buy and sell power tracking:
⯌ Highest, Lowest, and Mid Price Levels :
The indicator marks the highest and lowest price levels within the channel with an "X," and displays these values at the end of the channel. Additionally, the midline (average of the high and low) is plotted with a dotted line, showing a key area that the price often retests during trends.
⯌ Delayed Signal Markers :
To prevent false breakouts, the indicator includes a 2-bar delay for signals. These signals are plotted when the price crosses above or below the resistance or support zones, confirming potential reversals or breakouts. Arrows or diamonds are used to mark these signals on the chart.
Example of delayed breakout signals on the chart:
⯌ Extend Zones into the Future :
In the settings, traders can extend the support and resistance zones further into the future, allowing for ongoing analysis even after the initial levels have been identified. This feature can help with forward-looking trade planning.
⯁ USER INPUTS
Length : Defines the number of bars used to calculate the support and resistance zones.
Extend : Sets how far the support and resistance zones should be extended into the future.
Top and Bottom Colors : Allows customization of the colors for the support and resistance zones.
⯁ CONCLUSION
The Support and Resistance Power Channel indicator provides a powerful and visually intuitive way to track key market levels, buy and sell pressure, and potential reversals. With its real-time zone plotting and the calculation of power within each zone, it offers traders essential insights for making more informed trading decisions.
LotSize CalculatorLotSize Calculator Documentation
Overview
The LotSize Calculator is a powerful TradingView indicator designed to help traders calculate optimal position sizes based on risk management principles. It provides a visual representation of trade setups, including entry points, stop losses, and take profits, while calculating the appropriate lot size based on your risk preferences.
Key Features
Automatic lot size calculation based on risk amount
Support for multiple asset classes (forex, commodities, indices, etc.)
Visual R-multiple levels (1R to 5R)
Real-time position tracking with drawdown and run-up statistics
Customizable visual elements and display options
Input Parameters
Risk Management Settings
Risk Amount Type: Choose between risking a fixed amount in dollars ($) or a specific lot size.
Risk Amount: The amount you want to risk on the trade (in dollars if Risk Amount Type is set to $, or in lots if set to Lots).
Overwrite TP: Optional setting to automatically set take profit at a specific R-multiple (1R, 2R, 3R, 4R, or 5R).
Table Comments: Optional field to add personal notes to the position table.
Trade Setup Levels
Trigger Price: The price at which your trade will be entered.
Stop Loss: Your predetermined exit price to limit losses.
Take Profit: Your target price to secure profits.
Time Of Setup Start Bar: The starting time for your trade setup window.
Display Settings
Plot Position Labels: Toggle to show/hide position information labels on the chart.
Plot Position Table: Toggle to show/hide the position information table.
Show Money: Toggle to display monetary values ($) in the labels and table.
Show Points: Toggle to display point values in the labels and table.
Show Ticks: Toggle to display tick values in the labels and table.
Visual Appearance
Entry Color: Color for entry level line and labels.
Take Profit Color: Color for take profit level line and labels.
Stop Loss Color: Color for stop loss level line and labels.
Label Text Color: Color for text in the position labels.
Table Background: Background color for the position information table.
Table Text: Text color for the position information table.
R Labels: Color for the R-multiple level labels.
Table Position: Position of the information table on the chart (options: Bottom Right, Bottom Left, Bottom Middle, Top Right, Top Middle).
How to Use
Basic Setup
Set your entry price in the "Trigger Price" field.
Set your stop loss level in the "Stop Loss" field.
Set your take profit level in the "Take Profit" field.
Choose your risk amount type ($ or Lots) and enter the risk amount.
Optionally, select an R-multiple for automatic take profit calculation.
Understanding the Display
The indicator will show:
Horizontal lines for entry, stop loss, and take profit levels
Colored zones between entry and take profit (potential profit zone) and between entry and stop loss (potential loss zone)
R-multiple levels based on your risk (1R, 2R, 3R, 4R, 5R)
A table displaying:
Position type (long/short) and size
Original risk and reward figures
Maximum run-up and drawdown during the trade
Trade Monitoring
Once a trade is triggered (either by price crossing a stop entry or reaching a limit entry), the indicator tracks:
Current position value
Maximum run-up (highest profit seen)
Maximum drawdown (largest loss seen)
Trade outcome when take profit or stop loss is hit
Advanced Features
Asset Type Detection
The LotSize Calculator automatically detects the type of asset being traded (forex, commodity, index, etc.) and adjusts calculations accordingly to ensure accurate position sizing.
R-Multiple Visualization
R-multiples help visualize potential reward relative to risk. For example, 2R means the potential reward is twice the amount risked. The indicator displays these levels directly on your chart for easy reference.
Adaptive Position Labels
Position labels adjust their display based on trade direction (long or short) and include relevant information about risk, reward, and current position status.
Best Practices
Always confirm your risk is appropriate for your account size (typically 1-2% of account per trade).
Use the R-multiple visualization to ensure your trades offer favorable risk-to-reward ratios.
The indicator works best when used alongside your existing strategy for entry and exit signals.
Customize the visual appearance to match your chart theme for better visibility.
Troubleshooting
If position calculations seem incorrect, verify that the indicator is detecting the correct instrument type.
For forex pairs, ensure your broker's lot size conventions match those used by the indicator.
The indicator may need adjustment for certain exotic instruments or markets with unusual tick sizes.
SessionBarThis PineScript is designed to display various visual elements on a chart to help traders track session activity within the lower time frames, specifically for the USA main session. Here's a breakdown of the script's functionality:
Session Tracking
The script tracks the USA main session, defined as 9:30 AM to 4:00 PM ET, Monday through Friday.
Visual Elements
The script displays various visual elements, including:
1. Session Open and Close Lines: Lines marking the open and close of the USA main session.
2. Session High and Low Lines: Lines marking the high and low of the USA sessions.
3. Active Session Bar: A Realtime Candle as the current session bar.
4. Overnight Session Bar: A Realtime Candle as the overnight session bar.
5. Session Timer: A label displaying the time left until the next session.
6. Background Colors: Colors indicating different session periods, such as pre-market, post-market, and active session.
Customization
The script allows users to customize various aspects, including:
1. Session Time: Users can adjust the session time.
2. Colors: Users can choose colors for different visual elements.
3. Display Options: Users can toggle the display of various visual elements.
Overall, this script provides a educational tool for traders to track session activity and visualize key market data.
