Options Flavour by Raushan ShrivastavaMonthly Pivot Points :-
It calculates the monthly high, low, and close, and then computes the pivot point and three levels of support and resistance (R1, R2, R3, S1, S2, S3).
Moving Average :-
A simple moving average (SMA) with a configurable length (length_ma), which by default is set to 140 periods.
Bullish/Bearish Labels :-
Bullish condition: The close price crosses above both the moving average and the monthly pivot point.
Bearish condition: The close price crosses below both the moving average and the monthly pivot point.
Plotting :-
Monthly pivot, support, and resistance levels are plotted as circles on the chart.
The previous month's high and low are also plotted.
Bullish and bearish signals are shown with labels.
Labels on Support/Resistance Lines :-
A label "- PE" will appear on the S2 line (support level) with a green color when the bullish condition is met.
A label "- CE" will appear on the R2 line (resistance level) with a red color when the bearish condition is met.
Customisation :-
Moving Average Length: You can modify the length_ma input to adjust the period of the moving average.
Destek ve Direnç
DAILY ATR LEVELS AND EXPECTED MOVE LEVELSThis Pine Script code is designed to visualize ATR (Average True Range) levels and expected move levels on a chart. It provides useful inputs for customizing how these levels are displayed, such as line width, style, and color. The script is divided into several sections, each focused on a different feature:
1. User Inputs for Customization:
- Line Width and Style: Users can customize the line width, style (solid, dotted, or dashed), and color for various levels.
- Offset for Line Placement: The rightOffset input controls how far in the future the lines extend (measured in minutes).
- Show Labels: Labels can be toggled on/off for ATR levels and expected move lines, with customizable text colors.
2. ATR Levels and ATR Settings:
- The ATR length (atrLength) and the multiplier (atrMultiplier) control the calculation of ATR levels.
- The script plots ATR levels based on the daily open price, including key levels like ATR +25%, ATR +50%, etc., for both positive and negative movements.
- Line Drawing: The script dynamically creates lines for each ATR level, and the lines are customized according to the user's inputs. For each level, the line.new function is used to plot a line from the start of the day (daily open) to a point offset in the future.
- Labels: Labels are added near each ATR level to make them more identifiable, such as "ATR +25%" or "Daily Open."
3. Expected Move Calculation and Logic:
- The script calculates the expected move for the next trading session based on the previous close price and the volatility derived from the VIX (Volatility Index).
- The expected move is calculated as a percentage of the previous close and is added and subtracted from the previous close price to generate upper and lower levels.
- Volatility Adjustment: The VIX value is adjusted by the square root of 252 (the number of average trading days in a year) to calculate the daily volatility.
- Upper and Lower Lines: Lines are drawn for the expected move's upper and lower bounds, showing the potential price movement based on volatility.
4. Customizable Expected Move Lines:
- Line Style and Color: The upper and lower expected move lines can be customized in terms of width, style, and color, as specified by the user.
- Labels for Expected Move Levels: Labels are added for the upper and lower expected move lines, such as "Expected Move Upper" and "Expected Move Lower."
5. Logic for Drawing Lines:
- The script continuously evaluates whether the levels should be displayed based on the user's preferences.
- If showATRLevels or showLineEM is enabled, the script will draw the respective lines and labels on the chart.
- It uses line.new to draw the lines and label.new to position the labels at the correct levels on the chart.
6. Handling Time and Line Deletion:
- The script handles the dynamic nature of the chart by deleting previous lines (using line.delete) to avoid cluttering the chart with outdated lines.
- The time for the lines is set dynamically using the startTime and endTime variables, ensuring that lines are drawn within the correct timeframe.
Summary of Key Features:
- ATR Levels: Plots key levels of ATR, such as daily open, ATR +25%, ATR -25%, etc., with customizable colors and line styles.
- Expected Move Levels: Calculates and plots the upper and lower bounds of the expected move based on the VIX and previous close price.
- Customization Options: Users can control the appearance (line width, style, color) and whether to show labels for the ATR and expected move levels.
- Dynamic Updates: The lines and labels update dynamically throughout the trading day, adjusting based on market conditions.
Overall, this script is designed to help traders visualize volatility and potential price movement on a daily chart by providing ATR-based levels and expected move projections. It offers a high degree of customization to suit different charting preferences.
MONEYZEYAH | MAIN OVERLAYThis all-in-one trading tool maps out key market structures, dynamic price zones, and essential trading sessions – giving you the edge to navigate market movements with precision.
🔹 Key Features:
🗺️ Support & Resistance Zones – Automatically detects and highlights critical price areas where the market tends to react.
🎨 Chart Patterns:
Wedges and Flags – Visualize potential breakout patterns in real-time.
Market Structure Shifts:
⚡ CHoCH (Change of Character) – Identifies early signs of trend reversals.
📈 BOS (Break of Structure) – Confirms trend continuation or breakouts.
⚪ Session Overlay:
Highlights London Session First 3 hours with a clean white background, keeping you aligned with high-volatility periods.
🔺 Williams Fractals:
Marks swing highs and lows for easier trend and reversal identification.
🔴 🟢 Moving Averages – Tracks momentum with:
🟢 EMA 50 – Short-term trend direction.
🔴 EMA 200 – Long-term market bias.
🎯 Why Use This Indicator?
Comprehensive visualization of market structure and trading patterns.
Perfect for intraday and swing traders who rely on price action and session timing.
Streamlines technical analysis by integrating multiple essential tools into one powerful indicator.
Dynamic Support and Resistance Pivot Strategy The Dynamic Support and Resistance Pivot Strategy is a flexible and adaptive tool designed to identify short-term support and resistance levels using the concept of price pivots.
### Key Elements of the Strategy
1. Pivot points as support and resistance levels
Pivots are significant turning points on the price chart, often marking local highs and lows where the price has reversed direction. A pivot high occurs when the price forms a local peak, while a pivot low occurs when the price forms a local trough. When a new pivot high is formed, it creates a resistance level. Conversely, when a new pivot low is formed, it creates a support level.
The strategy continuously updates these levels as new pivots are detected, ensuring they remain relevant to the current market conditions. By identifying these price levels, the strategy dynamically adjusts to market conditions, allowing it to adapt to both trending and ranging markets, since it has a long target and can perform reversal operations.
2. Entry Criteria
- Buy (Long): A long position is triggered when the price is near the support level and then crosses it from below to above. This suggests that the price has found support and may start moving upwards.
- Sell (Short): A short position is triggered when the price is near the resistance level and then crosses it from above to below. This indicates that the price may be reversing and moving downward.
3. Support/Resistance distance (%)
- This parameter establishes a percentage range around the identified support and resistance level. For example, if the Support Resistance Distance is 0.4% (default), the closing price must be within a range of 0.4% above support or below the resistance to be considered "close" and trigger a trade.
4. Exit criteria
- Take profit = 27 %
- Stop loss = 10 %
- Reversal if a new entry point is identified in the opposite direction
5. No Repainting
- The Dynamic Support and Resistance Pivot Strategy is not subject to repainting.
6. Position Sizing by Equity and risk management
- This strategy has a default configuration to operate with 35% of the equity. The stop loss is set to 10% from the entry price. This way, the strategy is putting at risk about 10% of 35% of equity, that is, around 3.5% of equity for each trade. The percentage of equity and stop loss can be adjusted by the user according to their risk management.
7. Backtest results
- This strategy was subjected to backtest and operations in replay mode on **1000000MOGUSDT.P**, with the inclusion of transaction fees at 0.12% and slipagge of 5 ticks, and the past results have shown consistent profitability. Past results are no guarantee of future results. The strategy's backtest results may even be due to overfitting with past data.
8. Chart Visualization
- Support and resistance levels are displayed as green (support) and red (resistance) lines.
- Pivot prices are displayed as green (pivot low) and red (pivot high) labels.
In this image above, the Support/Resistance distance (%) parameter was set to 0.8.
9. Default Configuration
Chart Timeframe: 1h
Pivot Lengh: 2
Support/Resistance distance (%): 0.4*
Stop Loss: 10 %
Take Profit: 27 %
* This parameter can alternatively be set to 0.8.
10. Alternative Configuration
Chart Timeframe: 20 min
Pivot Lengh: 4
Support/Resistance distance (%): 0.1
Stop Loss: 10 %
Take Profit: 25 %
BYBIT:1000000MOGUSDT.P
DAILY ATR LEVELSThis script is a custom technical indicator for use in TradingView, designed to display daily Average True Range (ATR) levels on the chart, along with the daily opening price. It provides a customizable way to track price levels relative to the daily ATR, which can be useful for traders looking for volatility-based price targets or ranges.
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
Customization Options:
- Line Width: Determines the thickness of the plotted lines for the ATR levels and daily open line, ranging from 1 to 10.
- Right Offset (minutes): A time offset (in minutes) that shifts the end of the daily opening price line to the right for visual clarity.
- Line Style: The user can choose between solid, dashed, or dotted lines for all the plotted levels.
- Display Options: Users can toggle the visibility of the daily opening price line (showDayLevel), labels (showLabels), and ATR levels (showATRLevels).
- Colors: Customizable colors for the daily opening price line (dayLevelColor), labels (labelTextColor), and the ATR levels for both positive and negative values (atrLevelPlusColor and atrLevelMinusColor).
ATR Settings:
- ATR Length: Defines the number of periods (bars) to use when calculating the ATR. The default is 180, which corresponds to the ATR calculated on the daily chart using the last 180 bars.
- ATR Multiplier: Allows the user to scale the ATR levels by a multiplier (from 0.1 to 5.0), adjusting the sensitivity of the levels.
- ATR Levels: Users can toggle visibility for several predefined ATR levels, such as +25%, +50%, +75%, +100%, -25%, -50%, -75%, and -100%. These levels represent price points above or below the daily open based on the ATR.
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
ATR Levels Calculation:
- The ATR is calculated based on the daily chart using the ta.atr() function with the specified ATR length, default is set at 180.
- The script computes multiple ATR levels above and below the daily open price, adjusting each level by 25%, 50%, 75%, and 100% of the ATR value (scaled by the ATR multiplier).
ATR Level Plotting:
- For each ATR level (positive and negative), a line is drawn across the chart at the corresponding price level.
- The color, line style, and width of these lines can be customized.
- Each ATR level also has an optional label showing the percentage level (e.g., "ATR +25%") at the specified price, which is positioned at the end of the line.
- The labels are removed from the previous bars to avoid clutter.
Workflow:
- The script first calculates the daily opening price using the request.security() function to pull the open price from the daily chart.
- It then calculates the ATR based on the selected length and multiplier.
- The start time for the daily open line is determined by the bar's timestamp at the start of the day, and the end time is adjusted using the user-defined right offset.
- After determining the relevant price levels (for the opening price and ATR levels), the script plots these levels on the chart as lines. It handles the drawing and deletion of lines to ensure that the chart remains updated in real time.
- If labels are enabled, text labels are displayed next to the ATR levels and the daily open line, providing clear markers for the user.
Practical Use:
- Volatility Analysis: This indicator is useful for identifying key price levels based on daily volatility (ATR). Traders can use it to set potential targets or support/resistance levels that are adjusted for volatility.
- Day Trading or Swing Trading: The daily opening price line helps traders quickly see where the price opened for the day, and the ATR levels give a dynamic range for the day's potential price movement.
Overall, this script is designed to provide a clear, customizable view of daily price levels in relation to the ATR, helping traders make informed decisions based on volatility and price action.
EMA/SMA + Multi-Timeframe Dashboard (Vertical)20/50 ema and 200 sma
The EMA SMA Trading Indicator combines the power of Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to help traders identify trends, reversals, and key entry/exit points.
Features:
Dual Moving Averages: Tracks both EMA and SMA to provide a balanced view of short-term and long-term market trends.
Customizable Periods: Allows users to set unique periods for EMA and SMA to suit their trading style and timeframe (e.g., day trading, swing trading, or investing).
Cross Alerts: Highlights EMA and SMA crossover points, which often indicate potential buy or sell signals.
Color-Coded Lines: Visual differentiation between EMA (dynamic and responsive) and SMA (smooth and lagging) for better readability.
Multi-Timeframe Compatibility: Suitable for scalping, intraday trading, and long-term analysis.
Usage:
Trend Confirmation: When the EMA is above the SMA, it signals a bullish trend; when it is below the SMA, it signals a bearish trend.
Crossover Strategy: Use crossovers as potential buy (EMA crosses above SMA) or sell (EMA crosses below SMA) signals.
Dynamic Support/Resistance: EMA can act as short-term support/resistance, while SMA represents long-term levels.
This indicator is perfect for traders who want to combine EMA's speed with SMA's stability for improved decision-making in volatile markets. Customizable alerts and visual cues make it user-friendly for beginners and experienced traders.
Make informed decisions and take your trading to the next level with the EMA SMA Trading Indicator!
PowerStrike Pro V3Purpose of the Script
"PowerStrike Pro V3" is a custom indicator designed to generate high-accuracy buy/sell signals by combining multiple technical analysis tools. This script is optimized for trend-following, scalping, and support/resistance strategies. It integrates popular indicators such as RSI, Supertrend, Bollinger Bands, and dynamic support/resistance levels to provide traders with reliable signals.
Components of the Script and How It Works
The script combines the following key components, each contributing to the total signal strength based on user-defined weights. Below is a detailed explanation of how each component works and how it contributes to the overall score:
1. RSI (Relative Strength Index)
How It Works:
RSI identifies overbought (above 70) and oversold (below 30) conditions in the market.
The script uses RSI values to measure the strength of the trend and generate buy/sell signals.
When RSI is in the oversold zone, it strengthens buy signals. When in the overbought zone, it strengthens sell signals.
Contribution to Total Score:
RSI's contribution is calculated based on its strength in the oversold or overbought zones.
The final contribution is weighted by the user-defined "RSI Weight" and added to the total score.
2. Support and Resistance Levels
How It Works:
The script dynamically calculates recent peaks (resistance) and valleys (support) using a user-defined lookback period.
These levels are plotted on the chart as dynamic support and resistance lines.
The proximity of the price to these levels strengthens the signals.
Contribution to Total Score:
If the price is near a support level, it increases the strength of buy signals.
If the price is near a resistance level, it increases the strength of sell signals.
The contribution is weighted by the "Support/Resistance Weight" and added to the total score.
3. Supertrend Indicator
How It Works:
Supertrend uses ATR (Average True Range) and a multiplier to determine the trend direction.
The script uses Supertrend's direction changes as a filter for buy/sell signals.
When Supertrend is in an uptrend, it strengthens buy signals. When in a downtrend, it strengthens sell signals.
Contribution to Total Score:
Supertrend's contribution is weighted by the "Supertrend Weight" and added to the total score.
4. Bollinger Bands
How It Works:
Bollinger Bands measure price volatility and identify potential support/resistance levels.
The script generates buy signals when the price crosses above the lower band and sell signals when it crosses below the upper band.
Contribution to Total Score:
A crossover above the lower band increases the strength of buy signals.
A crossover below the upper band increases the strength of sell signals.
The contribution is weighted by the "Bollinger Bands Weight" and added to the total score.
5. Order Book Data
How It Works:
The script analyzes bid/ask volumes from the order book to assess market depth.
High bid volume near support levels strengthens buy signals.
High ask volume near resistance levels strengthens sell signals.
Contribution to Total Score:
Order book data is weighted by the "Order Book Weight" and added to the total score.
Signal Types and Their Meaning
The script generates two types of signals:
Weak Signals:
Weak signals indicate the early stages of a trend or minor corrections.
These are represented by small green (buy) or red (sell) triangles on the chart.
Weak signals are suitable for low-risk trades or scalping strategies.
Strong Signals:
Strong signals indicate the continuation of a trend or significant reversal points.
These are represented by larger green (buy) or red (sell) arrows on the chart.
Strong signals are suitable for higher-risk, higher-reward trades.
Total Score Calculation
The script calculates the total buy and sell scores by combining the weighted contributions of all components. The formula for the total score is as follows:
Copy
Total Buy Score = (RSI Buy Strength * RSI Weight) + (Support Strength * Support/Resistance Weight) + (Supertrend Buy Strength * Supertrend Weight) + (Bollinger Buy Strength * Bollinger Weight) + (Order Book Buy Strength * Order Book Weight)
Total Sell Score = (RSI Sell Strength * RSI Weight) + (Resistance Strength * Support/Resistance Weight) + (Supertrend Sell Strength * Supertrend Weight) + (Bollinger Sell Strength * Bollinger Weight) + (Order Book Sell Strength * Order Book Weight)
The total score is then compared to user-defined thresholds to generate weak or strong signals. For example:
A total buy score above 80% generates a weak buy signal.
A total buy score above 85% generates a strong buy signal.
Recommended Strategies
Trend Following: Use strong signals to trade in the direction of the main trend.
Scalping: Use weak signals to capture short-term price movements.
Support/Resistance Trading: Use the dynamically plotted support and resistance levels to identify reversal points.
How to Use the Script
Weight Settings:
Adjust the weights for each component (RSI, Supertrend, Bollinger Bands, etc.) in the script settings to customize the signal strength calculation.
Signal Thresholds:
Set the thresholds for weak and strong signals (e.g., 80% for weak signals, 85% for strong signals).
Chart Visualization:
The script automatically plots buy/sell signals on the chart. Use these signals in conjunction with your trading strategy.
Unique Features of the Script
Dynamic Weighting: Each component's contribution to the total score can be customized using user-defined weights.
Integrated Support/Resistance: The script dynamically calculates and plots support/resistance levels, enhancing signal accuracy.
Order Book Analysis: The inclusion of order book data provides additional confirmation for signals.
Final Notes
While "PowerStrike Pro V3" combines multiple indicators to generate reliable signals, no indicator guarantees 100% accuracy. Always use proper risk management and combine this script with other analysis tools for the best results
OCM Quarter Point Autopilot - A Multi-Timeframe Quarter TheoryDescription:
The OCM Quarter Point Autopilot indicator automates the application of Quarters Theory across multiple timeframes and instruments. It creates a comprehensive grid of support and resistance levels based on two user-defined price points (Monthly QTPs).
Key Features:
- Automatically calculates and displays quarter points across 5 timeframes:
• Monthly (Black lines)
• Weekly (Blue lines)
• Daily (Green lines)
• 4-Hour (Red lines)
• 1-Hour (Purple lines)
- Shows both upper and lower ranges, which can be toggled on/off
- Visual hierarchy through color-coding for easy timeframe identification
- Extends lines 2 years into the past and 6 months into the future
Usage:
1. Enter two Monthly Quarter Trading Points (QTPs)
2. The indicator automatically:
- Calculates midpoints (weekly)
- Quarter points (daily)
- Eighth points (4-hour)
- Further subdivisions (1-hour)
Benefits:
- Identifies potential support/resistance levels
- Helps spot key price targets
- Works on any instrument where psychological levels matter
- Provides multiple timeframe analysis in one view
Best suited for traders who:
- Follow multi-timeframe analysis
- Trade using support/resistance levels
- Want to identify potential price targets
- Need structured price levels for entries/exits
The indicator combines the systematic approach of Quarters Theory with automated calculation and visualization, making it easier to identify key price levels across multiple timeframes.
Max The Minner: RSI Bands with Min/Max [by Oberlunar]This Pine Script, titled "Max The Minner: RSI Bands with Min/Max " is a technical indicator designed to visualize RSI-based dynamic bands with local minimum and maximum levels on a chosen timeframe. The script incorporates user-configurable parameters for RSI thresholds, resolution, and color settings, providing traders with a highly customizable tool for analyzing price behavior in relation to overbought and oversold conditions.
Core Functionality
The script begins by calculating the RSI (Relative Strength Index) using user-defined inputs for overbought and oversold levels, the RSI length, and the resolution (default set to daily). The RSI is computed through an exponential moving average (EMA) approach that smooths the upward and downward price movements, creating adaptive upper (ub) and lower (lb) bands based on the overbought and oversold thresholds.
These bands are then dynamically adjusted based on the current price (src) and the EMA calculations. The upper band (ub) represents a potential resistance zone aligned with the RSI overbought level, while the lower band (lb) represents a support zone aligned with the RSI oversold level. The script employs additional calculations to ensure the adaptive nature of these bands, depending on whether the RSI is pushing higher or lower relative to its thresholds.
Local Minima and Maxima
A key feature of the indicator is its ability to track and update local minima and maxima based on the chosen timeframe. The script uses a buffer system that refreshes these levels every three bars to smooth out noise and avoid excessive sensitivity to short-term fluctuations. These local extrema (localMin and localMax) are retrieved from the lower and upper prices of the selected timeframe and act as dynamic benchmarks for evaluating the RSI bands.
Conditional Logic
The script includes conditional logic to determine when the RSI bands intersect with or approach the local maxima or minima. For example:
The upper band (ub) is plotted only if it is below the local maximum, suggesting that price may encounter resistance.
Similarly, the lower band (lb) is plotted only if it is above the local minimum, indicating potential support.
This logic ensures that the bands are contextually relevant to the prevailing market structure, rather than being static overlays.
Visualization
The RSI bands and local extrema are plotted on the chart using color-coded lines, with transparency adjustable through user inputs. The upper band and local maximum are linked with a fill area, visually representing the resistance zone. Similarly, the lower band and local minimum are filled to highlight the support zone. These fills provide a clear depiction of price boundaries, making it easier for traders to spot key levels.
Additionally, the script marks breakout conditions. If the price exceeds the local maximum, a label is plotted at the breakout point with a distinctive style and color. Similarly, a breakout below the local minimum is labeled, providing a visual cue for significant price movements.
Customization
The script offers extensive customization options for both functionality and appearance:
Users can define the overbought and oversold levels for RSI, along with the RSI length and the resolution (timeframe).
Colors for the upper and lower bands, along with transparency (alpha) levels, can be adjusted, allowing for seamless integration with different chart styles.
The periodicity of the local minima and maxima updates is hardcoded to three bars but could be further parameterized for greater flexibility.
This indicator is particularly useful for traders who rely on RSI-based strategies and need a dynamic representation of overbought and oversold conditions in conjunction with local price extremes. By combining RSI bands with the context provided by local minima and maxima, it allows traders to:
Identify potential support and resistance levels.
Visualize price behavior relative to RSI thresholds.
Spot breakout opportunities when price exceeds predefined levels.
Gann Levels HTFGann Levels HTF
This script plots the key Gann levels on a chart based on a selected higher time frame (HTF), enabling traders to identify important support and resistance zones. It calculates the Gann levels as fractions of the price range between the high and low of the selected time frame.
Features:
Select any time frame (default is Monthly) to calculate Gann levels.
Gann levels are plotted as:
R3 (1/8 of the price range)
R2 (1/4 of the price range)
R1 (3/8 of the price range)
P (1/2 of the price range, mid-point)
S1 (5/8 of the price range)
S2 (3/4 of the price range)
S3 (7/8 of the price range)
The script uses a stepline plot style for visual clarity.
Labels are added at the last bar to indicate the corresponding Gann levels with colors to make them easily identifiable.
Blue for R3 and S3
Green for R2 and S2
Orange for R1 and S1
Red for P (the mid-point)
This script is especially useful for traders following the principles of Gann Theory, providing an easy-to-use tool for detecting key levels that may act as support or resistance.
Use it on lower Timeframes with selected Higher Timeframe
Options Flavour by Raushan ShrivastavaThis script is for a trading strategy which combines Pivot Points and a Simple Moving Average.
It calculates support and resistance levels based on the monthly pivot point and plots them on the chart.
The script also creates conditions for entering bullish and bearish trades based on the relationship between the price and moving average.
Breakdown of the main components of the script :-
Pivot Point Calculation:
The script calculates the monthly pivot point and its associated support (S1, S2, S3) and resistance (R1, R2, R3) levels.
These levels are used to determine potential areas of interest on the chart.
Moving Average:
A simple moving average (SMA) is plotted with a length defined by the user (length_ma), used to spot trends.
Conditions for Bullish and Bearish Signals:
Bullish condition: The label appears when the market crosses the moving average upward and is above the pivot, or when the market crosses the pivot upward and is above the moving average.
Bearish condition: The label appears when the market crosses the moving average downward and is below the pivot, or when the market crosses the pivot downward and is below the moving average.
Plotting Shapes:
The pivot point, support, resistance, and previous month's high/low values are plotted on the chart as circles.
The moving average is plotted as a black line.
Labels:
Labels are placed to indicate when a bullish or bearish condition occurs. These labels appear when the conditions are met, helping visualize trading signals.
This strategy can be useful for traders who wish to combine multiple technical indicators to make more informed decisions. You can adjust the parameter for moving average length to fine-tune the strategy for different time frames and market conditions.
Support Resistance Major/Minor [TradingFinder] Market Structure🔵 Introduction
Support and resistance levels are key concepts in technical analysis, serving as critical points where prices pause or reverse due to the interaction of supply and demand. These foundational elements in price action and classical technical analysis assist traders in understanding market behavior and making better trading decisions.
Support levels are zones where demand is strong enough to prevent further price declines, while resistance levels act as barriers that hinder price increases.
Support and resistance levels are divided into two main types: static and dynamic. Static levels are fixed horizontal lines on charts, formed based on historical price points, and are crucial due to repeated price reactions in these areas.
Dynamic levels, on the other hand, move with market trends and are often identified using tools like moving averages and trendlines. These levels are particularly useful for analyzing dynamic trends and identifying potential reversal points in financial markets.
The importance of support and resistance in technical analysis lies in their ability to pinpoint price reversal or continuation points. Professional traders use these levels to determine optimal entry and exit points and combine them with tools such as Fibonacci retracements or moving averages for precise strategies.
Detailed analysis of price behavior at these levels provides insights into trend strength and the likelihood of price breaks or reversals. By understanding these concepts, technical analysts can forecast future price movements and optimize their trading decisions using tools such as indicators and price action. Support and resistance levels, as a cornerstone of technical analysis, form the foundation for many trading strategies.
🔵 How to Use
The Static Support and Resistance Indicator is a vital tool for identifying significant price zones in financial markets. It automatically detects major and minor support and resistance levels in both short-term and long-term intervals, enabling traders to analyze price behavior accurately and develop optimal entry and exit strategies.
🟣 Major Long-Term Support and Resistance
Major Long-Term Support : The lowest price points recorded over long-term intervals that prevent further declines.
Major Long-Term Resistance : The highest price points in long-term intervals that limit further price increases.
🟣 Minor Long-Term Support and Resistance
Minor Long-Term Support : Temporary halts in price decline within a downtrend over long-term intervals.
Minor Long-Term Resistance : Short-term zones within long-term intervals where prices react negatively in an uptrend.
🟣 Major Short-Term Support and Resistance
Major Short-Term Support : The lowest price points in short-term intervals that act as barriers against sharp price drops.
Major Short-Term Resistance : The highest points in short-term intervals that prevent further price surges.
🟣 Minor Short-Term Support and Resistance
Minor Short-Term Support : Temporary halts in price decline within short-term downtrends.
Minor Short-Term Resistance : Zones where price reacts quickly and reverses in short-term uptrends.
🔵 Settings
Long Term S&R Pivot Period : Defines the interval for identifying long-term support and resistance levels (default: 21).
Short Term S&R Pivot Period : Defines the interval for identifying short-term support and resistance levels (default: 5).
🟣 Long-Term Lines
Major Line Display : Enable/disable major long-term lines.
Minor Line Display : Enable/disable minor long-term lines.
Major Line Colors : Green for support, red for resistance (long-term major levels).
Minor Line Colors : Light green for support, light red for resistance (long-term minor levels).
Major Line Style : Choose between solid, dotted, or dashed lines for major long-term levels.
Minor Line Style : Choose between solid, dotted, or dashed lines for minor long-term levels.
Major Line Width : Adjust the thickness of major long-term lines.
Minor Line Width : Adjust the thickness of minor long-term lines.
🟣 Short-Term Lines
Major Line Display : Enable/disable major short-term lines.
Minor Line Display : Enable/disable minor short-term lines.
Major Line Colors : Gray-green for support, gray-red for resistance (short-term major levels).
Minor Line Colors : Dark green for support, dark red for resistance (short-term minor levels).
Major Line Style : Choose between solid, dotted, or dashed lines for major short-term levels.
Minor Line Style : Choose between solid, dotted, or dashed lines for minor short-term levels.
Major Line Width : Adjust the thickness of major short-term lines.
Minor Line Width : Adjust the thickness of minor short-term lines.
🔵 Conclusion
Static support and resistance levels are among the most critical tools in technical analysis, helping traders identify key reversal or continuation points.
This indicator simplifies and enhances the analysis process by automatically detecting major and minor levels in both short-term and long-term intervals. It allows traders to customize settings to suit their trading strategies and analyze different market levels effectively.
Using this indicator improves price action analysis, enhances market understanding, and identifies trading opportunities. Applicable to all trading styles, from day trading to long-term investing, it is an essential tool for technical analysis.
Combining this indicator with other tools like trendlines, Fibonacci retracements, and moving averages enables comprehensive analysis and allows traders to navigate financial markets with greater confidence.
MA Resist TrendThis Pine Script™ code designed to provide insights into price trends and potential buy/sell signals based on a moving average of resistance levels. It features dynamic calculations of a resistance line and a base moving average, enabling traders to visualize trend direction and reversal points effectively.
Key Features:
1. Moving Average Selection:
The indicator supports a wide variety of moving averages, including:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
HMA (Hull Moving Average)
McGinley Dynamic
RMA (Relative Moving Average)
MD (Mode Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
This provides flexibility in tailoring the indicator to suit different market conditions and trading styles.
2. Dynamic Resistance Calculation:
MAR: A smoothed moving average of the mid-range between highest price period and lowest price period. This represents the main trend resistance line.
3. Base Line and Resistance Line:
The base line is calculated as the EMA of the closing price.
The resistance line is derived by subtracting the distance between MAR and the base line from the base line. This distance is used to identify potential reversal points.
4. Color Coding:
The MAR line changes color based on its relationship with the current closing price:
Green (lime): Indicates bullish conditions (price above mar).
Red: Indicates bearish conditions (price below mar).
5. Buy and Sell Signals:
A buy signal is triggered when the MAR line crosses below the resistance line.
A sell signal is triggered when the MAR line crosses above the resistance line.
Signals are displayed using labeled shapes on the chart:
"BUY" shape appears below the bar for buy signals.
"SELL" shape appears above the bar for sell signals.
6. Customizable Parameters:
len: Length of the moving average (default: 14).
ma: Type of moving average to use.
lb: Lookback period for high and low prices (default: 3).
smt: Smoothing factor for the mar line (default: 3).
Visualization:
The indicator plots the following on the price chart:
MAR Line: Represents the dynamic resistance line, colored based on market conditions.
Resistance Line: A yellow line indicating the calculated resistance levels.
Buy/Sell Labels: Visual markers indicating potential trade opportunities.
Use Cases:
Trend Identification:
The MAR line provides insights into the current trend direction.
Color changes highlight transitions between bullish and bearish conditions.
Reversal Detection:
Buy and sell signals help identify potential trend reversals.
Dynamic Resistance Levels:
The resistance line offers additional context for understanding price action and possible resistance points.
Notes:
This indicator is particularly useful for trend-following traders who incorporate moving averages into their strategies.
It supports a wide range of moving averages, making it versatile across different asset classes and timeframes.
Traders can experiment with different len, lb, and smt values to fine-tune the indicator's responsiveness.
This script is provided for prediction purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Pre-Market and First 5-Minute LevelsThis will plot the pre-market high an the pre-market low right when market opens after the first five minutes, this will also apply for the first five minute high and five minute low with horizontal rays. Pre-Market levels are blue and 5 minute levels are orange
Premarket and Opening Range (First 30 minutes) LevelsThis indicator is for people who like to utilize the pre-market highs and pre-market Low's as well as the first 30 minutes high and low, or some people like to call the opening range. I hope you find value in this. Note, the levels will only appear after tracking. Premarket levels will happen after pre-market closes. Opening Range levels will show right after the first 30 minutes.
Supports and Resistances Multi Timeframe - VK TradingThe Supports and Resistances Multi Timeframe - VK Trading indicator is designed to help traders identify key support and resistance levels across multiple timeframes. It integrates real-time market data with smooth, customizable visual markers, allowing traders to quickly spot potential entry and exit points. This tool is particularly valuable for trend-following traders who want to see the most critical levels of price action on various timeframes.
Features:
Multi-Timeframe Support: Display support and resistance levels for the current, first, and second timeframes, helping traders identify price points across different market cycles.
Customizable Appearance: Choose from various colors for levels and bands, as well as transparency settings to match your chart's design.
ATR-based Bands: Uses the Average True Range (ATR) to dynamically adjust the width of support and resistance bands, offering more accurate price movement insights.
Pivot Points: Identifies pivot highs and lows, offering precise support and resistance levels based on the price action.
Smoothing Options: Customize the ATR smoothing method with options like RMA, SMA, EMA, and WMA for better alignment with your trading strategy.
Functionalities:
Quick Level Detection: The indicator highlights the most recent high and low levels on the current timeframe, ensuring you’re always aware of nearby price barriers.
Support and Resistance Visualization: Easily visualize the major support and resistance levels on multiple timeframes, improving decision-making and trade management.
Dynamic Band Widths: Customize the ATR multiplier for each timeframe, adapting the support and resistance bands based on the volatility of the market.
Multi-Timeframe Integration: View price action levels from a broader perspective with support and resistance data from the current, first, and second timeframes all in one chart.
Flexible Timeframe Selection: Choose your preferred timeframes for support and resistance levels, from daily, weekly, to monthly, for broader or narrower market views.
How it Helps Traders:
This indicator is ideal for traders who rely on multi-timeframe analysis to make well-informed trading decisions. By visualizing key support and resistance levels across several timeframes, traders can improve the precision of their entries and exits, better manage risk, and enhance their market timing. The tool provides a comprehensive view of price action, allowing traders to spot potential reversals and breakouts, making it easier to execute strategies effectively.
Disclaimer:
This script is an educational and analytical tool. It does not guarantee specific results or eliminate trading risk. Trading in the financial markets involves significant risks; use this script at your own risk.
Nimu Market on DemandNimu Market On Demand is an innovative tool designed to provide a visual representation of market demand levels on a scale of 1 to 100. This scale is displayed at specific intervals , making it easy for users to understand market demand fluctuations in real time.
To enhance analysis, Nimu Market On Demand also incorporates the Relative Strength Index (RSI) with key thresholds at . RSI is a widely-used technical indicator that measures market strength and momentum, offering insights into overbought (excessive buying) or oversold (excessive selling) conditions.
The combination of the Demand graph and RSI enables users to:
Identify the right time to buy when the RSI falls below 30, signaling an oversold condition.
Determine the optimal time to sell when the RSI rises above 70, indicating an overbought condition.
With an integrated visualization, users can effortlessly observe demand patterns and combine them with RSI signals to make smarter and more strategic trading decisions. This tool is designed to help traders and investors maximize opportunities in a dynamic market environment.
Profitability Visualization with Bid-Ask Spread ApproximationOverview
The " Profitability Visualization with Bid-Ask Spread Approximation " indicator is designed to assist traders in assessing potential profit and loss targets in relation to the current market price or a simulated entry price. It provides flexibility by allowing users to choose between two methods for calculating the offset from the current price:
Bid-Ask Spread Approximation: The indicator attempts to estimate the bid-ask spread by using the highest (high) and lowest (low) prices within a given period (typically the current bar or a user-defined timeframe) as proxies for the ask and bid prices, respectively. This method provides a dynamic offset that adapts to market volatility.
Percentage Offset: Alternatively, users can specify a fixed percentage offset from the current price. This method offers a consistent offset regardless of market conditions.
Key Features
Dual Offset Calculation Methods: Choose between a dynamic bid-ask spread approximation or a fixed percentage offset to tailor the indicator to your trading style and market analysis.
Entry Price Consideration: The indicator can simulate an entry price at the beginning of each trading session (or the first bar on the chart if no sessions are defined). This feature enables a more realistic visualization of potential profit and loss levels based on a hypothetical entry point.
Profit and Loss Targets: When the entry price consideration is enabled, the indicator plots profit target (green) and loss target (red) lines. These lines represent the price levels at which a trade entered at the simulated entry price would achieve a profit or incur a loss equivalent to the calculated offset amount.
Offset Visualization: Regardless of whether the entry price is considered, the indicator always displays upper (aqua) and lower (fuchsia) offset lines. These lines represent the calculated offset levels based on the chosen method (bid-ask approximation or percentage offset).
Customization: Users can adjust the percentage offset, toggle the bid-ask approximation and entry price consideration, and customize the appearance of the lines through the indicator's settings.
Inputs
useBidAskApproximation A boolean (checkbox) input that determines whether to use the bid-ask spread approximation (true) or the percentage offset (false). Default is false.
percentageOffset A float input that allows users to specify the percentage offset to be used when useBidAskApproximation is false. The default value is 0.63.
considerEntryPrice A boolean input that enables the consideration of a simulated entry price for calculating and displaying profit and loss targets. Default is true.
Calculations
Bid-Ask Approximation (if enabled): bidApprox = request.security(syminfo.tickerid, timeframe.period, low) Approximates the bid price using the lowest price (low) of the current period. askApprox = request.security(syminfo.tickerid, timeframe.period, high) Approximates the ask price using the highest price (high) of the current period. spreadApprox = askApprox - bidApprox Calculates the approximate spread.
Offset Amount: offsetAmount = useBidAskApproximation ? spreadApprox / 2 : close * (percentageOffset / 100) Determines the offset amount based on the selected method. If useBidAskApproximation is true, the offset is half of the approximated spread; otherwise, it's the current closing price (close) multiplied by the percentageOffset.
Entry Price (if enabled): var entryPrice = 0.0 Initializes a variable to store the entry price. if considerEntryPrice Checks if entry price consideration is enabled. if barstate.isnew Checks if the current bar is the first bar of a new session. entryPrice := close Sets the entryPrice to the closing price of the first bar of the session.
Profit and Loss Targets (if entry price is considered): profitTarget = entryPrice + offsetAmount Calculates the profit target price level. lossTarget = entryPrice - offsetAmount Calculates the loss target price level.
Plotting
Profit Target Line: Plotted in green (color.green) with a dashed line style (plot.style_linebr) and increased linewidth (linewidth=2) when considerEntryPrice is true.
Loss Target Line: Plotted in red (color.red) with a dashed line style (plot.style_linebr) and increased linewidth (linewidth=2) when considerEntryPrice is true.
Upper Offset Line: Always plotted in aqua (color.aqua) to show the offset level above the current price.
Lower Offset Line: Always plotted in fuchsia (color.fuchsia) to show the offset level below the current price.
Limitations
Approximation: The bid-ask spread approximation is based on high and low prices and may not perfectly reflect the actual bid-ask spread of a specific broker, especially during periods of high volatility or low liquidity.
Simplified Entry: The entry price simulation is basic and assumes entry at the beginning of each session. It does not account for specific entry signals or order types.
No Order Execution: This indicator is purely for visualization and does not execute any trades.
Data Discrepancies: The high and low values used for approximation might not always align with real-time bid and ask prices due to differences in data aggregation and timing between TradingView and various brokers.
Disclaimer
This indicator is for educational and informational purposes only and should not be considered financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct thorough research and consider your own risk tolerance before making any trading decisions. It is recommended to combine this indicator with other technical analysis tools and a well-defined trading strategy.
Order Blocks - VK TradingOrder Blocks - VK Trading
This script in Pine Script identifies and highlights Order Blocks, key tools in institutional trading. Designed for traders of all levels, it provides clear and customizable visualization, helping you anticipate market movements with greater accuracy.
Key Features:
Order Block Visualization: Highlights relevant bullish and bearish zones directly on the chart.
Customizable Settings: Adjust sensitivity, colors, and other parameters to suit your analysis needs.
Dual Block Detection: Uses two independent settings to cover different market perspectives.
Visual Alerts: Automatic line drawing for key levels.
Automatic Clearing: Dynamic clearing of already invalidated blocks.
User Benefits:
Clear Visual Analysis: Identifies key supply and demand points used by institutions.
Improved Trading Decisions: Anticipate entry and exit zones more accurately.
Time Saver: Automates level plotting, allowing you to focus on strategy and execution.
Strategy Adaptability: Compatible with Smart Money, Wyckoff, and Price Action approaches.
Disclaimer:
This script is an educational and analytical tool. It does not guarantee specific results or eliminate trading risk. Trading in the financial markets involves significant risks; use this script at your own risk.
OBV Divergence Indicator [TradingFinder] On-Balance Vol Reversal🔵 Introduction
The On-Balance Volume (OBV) indicator, introduced by Joe Granville in 1963, is a powerful technical analysis tool used to measure buying and selling pressure based on trading volume and price.
By aggregating trading volume—adding it on positive days and subtracting it on negative days—OBV creates a cumulative line that reflects market volume pressure, making it valuable for confirming trends, identifying entry and exit points, and forecasting potential price movements.
Divergences between price and OBV often provide significant signals. A bearish divergence occurs when the price forms higher highs while the OBV line forms lower highs. This discrepancy indicates that upward momentum is weakening, increasing the likelihood of a downward trend.
In contrast, a bullish divergence happens when the price makes lower lows, but the OBV line forms higher lows. This suggests increasing buying pressure and the potential for an upward trend reversal.
For instance, if the price is rising but the OBV trendline is falling, it may signal a bearish divergence, warning of a possible price decline. Conversely, if the price is falling while the OBV line is rising, this could signal a bullish divergence, indicating a possible price recovery. These signals are particularly useful for identifying market turning points.
OBV often acts as a leading indicator, moving ahead of price changes. For example, a rising OBV alongside stable or declining prices can signal an impending upward breakout.
Conversely, a declining OBV with rising prices may indicate that the current uptrend is losing strength. Traders using this strategy often consider entering positions at breakout levels while setting stop losses near recent swing highs or lows to manage risk effectively.
This integration highlights how OBV divergences can provide actionable insights for predicting price movements and managing trades efficiently.
Bullish Divergence :
Bearish Divergence :
🔵 How to Use
The OBV indicator, as a cumulative tool, assists analysts in comparing volume and price changes to identify new trends and key levels for entering or exiting trades. Beyond confirming existing trends, it is particularly effective in analyzing positive and negative divergences between price and volume, providing valuable signals for trading decisions.
🟣 Bullish Divergence
A bullish divergence occurs when the price continues its downward or stable trend, but the OBV line starts rising, forming a higher low compared to its previous low. This suggests increasing volume on up days relative to down days and often signals a reversal to the upside.
For instance, if an asset's price stabilizes near a support level but the OBV line shows an upward trend, this divergence could present an opportunity to enter a long position.
🟣 Bearish Divergence
A bearish divergence occurs when the price forms higher highs, but the OBV line declines, creating lower highs compared to previous peaks. This indicates decreasing volume on up days relative to down days and often acts as a warning for a reversal to the downside.
For example, if an asset’s price approaches a resistance level while OBV starts declining, this divergence may signal the beginning of a downtrend and could indicate a good time to exit long trades or enter short positions.
🔵 Setting
Period : The "Period" setting allows you to define the number of bars or intervals for "Periodic" and "EMA" modes. A shorter period captures more short-term movements, while a longer period smooths out the fluctuations and provides a broader view of market trends.
You can enable or disable labels to highlight key levels or divergences and tables to show numerical details like values and divergence types. These options allow for a customized chart display.
🔵 Table
The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator.
Exist : If divergence is detected, a "+" will appear in this row.
Consecutive: Shows the number of consecutive divergences that have formed in a short period.
Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong."
Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table.
🔵 Conclusion
The OBV (On Balance Volume) indicator is a simple yet effective tool in technical analysis that combines volume and price changes to provide a comprehensive view of market buying and selling pressure. By identifying positive and negative divergences, OBV enables analysts to detect early signs of trend reversals and refine their trading strategies.
Divergences in OBV often precede price changes, making it a leading indicator for predicting market movements. Using OBV alongside other technical tools can enhance decision-making accuracy and help traders identify better entry and exit points. However, it is essential to consider the limitations of OBV, such as the potential for signal errors and the impact of sudden news events.
Ultimately, OBV serves as a complementary tool in technical analysis, aiding in trend identification, signal confirmation, and risk management. A thoughtful application of this indicator, in combination with other analytical tools, can create valuable opportunities for profiting in financial markets.
Bitcoin Pi Cycle TrackerThe Bitcoin Pi Cycle Tracker is based on the widely recognized Pi Cycle Top Indicator, a concept used to identify potential market cycle tops in Bitcoin's price. This implementation combines the 111-day Simple Moving Average (SMA) and the 350-day SMA (multiplied by 2) to detect key crossover points. When the 111-day SMA crosses above the 350-day SMA x2, it signals a potential market peak.
Key Features:
Plots the 111-day SMA (blue) and the 350-day SMA x2 (red) for clear visualization.
Displays visual markers and vertical lines at crossover points to highlight key moments.
Sends alerts for crossovers, helping traders stay ahead of market movements.
This tool is an implementation of the Pi Cycle concept originally popularized by Bitcoin market analysts. Use it to analyze historical price cycles and prepare for significant market events. Please note that while the Pi Cycle Indicator has been historically effective, it should be used alongside other tools for a comprehensive trading strategy.
Multi-Timeframe Liquidity LevelsMulti-Timeframe Liquidity Levels – Overview
The Multi-Timeframe Liquidity Levels indicator automatically displays significant highs and lows from various timeframes (Daily, Weekly, Monthly, and Quarterly) on your current chart. This allows traders to quickly identify potential support and resistance zones without frequently switching between different timeframe charts. Additionally, the script offers extra lines for special reference points (e.g., the “Midnight” midpoint of the current day and the previous day’s open/close) to highlight potential liquidity zones even more clearly.
1. Core Idea and Benefits
Time-Saving: Instead of manually reviewing charts in different timeframes, the indicator fetches relevant high/low levels automatically and shows them on your active timeframe.
Clear Layout: Traders instantly see where the Daily, Weekly, Monthly, and Quarterly highs and lows lie—areas often associated with institutional orders or liquidity hunts.
Customizable: You can tailor the color scheme, line style (Solid, Dashed, Dotted), and line width, ensuring the displayed levels fit your personal charting style.
2. How It Works
Multi-Timeframe High/Low
For each timeframe (Day, Week, Month, Quarter), the indicator references the previous candle’s high and low (high , low ).
Using request.security(...), these values are plotted on the chart you’re currently viewing.
Flexible Display
You can individually enable or disable the Daily, Weekly, Monthly, and Quarterly lines, depending on which levels are most relevant to your trading.
With Line Style (Solid, Dashed, Dotted) and Line Width, you can easily emphasize certain lines you consider more important.
Additional Lines
“Midnight” Line: A theoretical midpoint between today’s high and low, which can be useful for gauging daily pivot areas.
Previous Day’s Open/Close: Many traders track these reference points to anticipate market reactions. You can show or hide these lines as desired.
Automatic Line Removal & Creation
When a particular timeframe (e.g., “Show Monthly Levels”) is disabled, the script automatically removes the existing monthly lines.
Enabling it again recreates those lines without hassle.
3. Usage and Interpretation
Identifying Support and Resistance
Highs and lows from higher timeframes are often key zones for entries, exits, or major market reactions.
A Daily level may be crucial for short-term traders, whereas Monthly or Quarterly levels can indicate long-term liquidity areas.
Spotting Market Shifts
If price decisively moves above a Higher-Timeframe line, it could signal strong momentum.
Conversely, a failed breakout (where price quickly returns under or above a level) might warn of a potential reversal.
Extra Lines as Filters
The “Midnight” Line helps visualize a rough central price for the current day, aiding in intraday directional bias.
Previous Day’s Open/Close: Common reference points for day traders, where swift approaches and rejections can indicate potential entries or partial take-profit zones.
4. Practical Tips
Use Color-Coding Wisely: Assign distinct colors (e.g., Blue for Daily, Green for Weekly, Orange for Monthly, Purple for Quarterly) so you can easily discern which timeframe you’re looking at.
Toggle On/Off As Needed: Day traders might focus on Daily and Weekly, while long-term traders may pay closer attention to Monthly and Quarterly.
Combine with Price Action: Lines alone don’t constitute a trading strategy. Use them alongside candlestick patterns, volume analysis, or other indicators for a more complete market perspective.
5. Important Notes & Recommendations
Not Financial Advice: This indicator simply reflects historical high/low data across multiple timeframes and does not constitute a buy or sell recommendation.
Trader Responsibility: Observe how the market actually behaves around these lines and adapt your risk management accordingly.
[Marmotte] Support & ResistanceDynamic Support/Resistance Indicator
Available on charts of all symbols, not just Bitcoin.
Timeframe
The chart time to base the support/resistance values on.
This value cannot be less than the current chart timeframe.
ex) Current chart timeframe = 15 minutes, option value = 60 (1 hour) O
ex) Current chart timeframe = 4 hours, option = 60 (1 hour) X
Mode
This is how support/resistance values are calculated.
The “Pivot” option takes the PivotHigh and PivotLow for a specific period of time (number of candles).
The “Normal” option is used to get the Highest and Lowest for a specific time period (number of candles).
Lookback Candle
When set to 20 and the “Pivot” option is selected, the highest price of the 20 candles before the specific candle is selected.
If set to 20 and the “Normal” option is selected, the highest price of the 20 candles before the current candle is selected.
Sensitivity
This option only applies when “General” is selected.
Different support/resistance values calculated based on sensitivity
Extract the reference high/low for the “Lookback Candle” in the selected “Timeframe” based on the “Mode”.
Compare the Bar Index (candle order) of the extracted reference high/low and divide the upside/downside (ex: up if the reference low came before the reference high, down if the reference high came before the reference low, etc.).
Now, based on the baseline high/low and up/down, calculate the , and plot them on the chart.
Updates the extracted values based on the “base value” when the reference high/low for the “calculation period (number of candles)” in the selected “chart time” changes.
The indicator is built with simple logic that automatically identifies tops and bottoms, and then calculates and plots the corresponding Fibonacci retracements and extensions.
Therefore, it is not recommended to trade blindly on the support/resistance plotted by the indicator.
The indicator can be used to enhance the ability of support-resistance lines or to reference support-resistance on longer time frames from shorter time frames. For example, you can set up a 4-hour support/resistance on a 15-minute timeframe. This way, you can see the support/resistance of a higher timeframe that looks like a pullback/recovery in the short term, but is more reliable and can be used as a reference for trading.
The recommended time frame is 4 hour.
Please note that this may not work properly on symbols with too small an amount (e.g. it does not work properly on symbols like 0.005$)
-------------------------------------------------
동적 지지/저항선 인디케이터
비트코인뿐 아니라 모든 심볼의 차트에서 사용가능합니다.
차트 시간
지지/저항 값을 계산에 기본이 될 차트 시간입니다.
이 값은 현재 차트 타임프레임보다 작을 수 없습니다.
ex) 현재 차트 타임프레임 = 15분, 옵션값 = 60(1시간) O
ex) 현재 차트 타임프레임 = 4시간, 옵션값 = 60(1시간) X
베이스 값
지지/저항 값을 계산하는 방법입니다.
"피봇고저" 옵션은 특정 기간(캔들 수)의 PivotHigh, PivotLow를 구하여 사용합니다.
"일반고저" 옵션은 특정 기간(캔들 수)의Highest, Lowest를 구하여 사용합니다.
계산 기간
20으로 설정 후 "Pivot" 옵션을 선택한 경우, 특정 캔들 이전 20개의 캔들 중 해당 캔들이 제일 고가가 높을 때 선택
20으로 설정 후 "Normal" 옵션을 선택한 경우, 현재 캔들 이전 20개의 캔들 중 가장 고가 선택
민감도
해당 옵션은 "Normal"를 선택했을때만 적용됩니다.
민감도에 따라 계산되는 지지/저항 값이 다름
선택한 "차트 시간"에서 "계산 기간(캔들 수)" 동안의 기준 고가/저가를 "모드"에 기반하여 추출합니다.
추출된 기준 고가/저가의 Bar Index(캔들 순서)를 비교하여 상승/하락을 나눕니다. (ex. 기준 저가가 기준 고가보다 먼저 나왔다면 상승, 기준 고가가 기준 저가보다 먼저 나왔다면 하락)
이제 기준 고가/저가와 상승/하락을 토대로 , 을 계산하여 차트에 그립니다.
선택한 "차트 시간"에서 "계산 기간(캔들 수)" 동안의 기준 고가/저가를 "모드"에 기반하여 추출한 값이 변경될 때 업데이트 됩니다.
해당 지표는 고점과 저점을 자동으로 식별하여 상승/하락을 파악 후 그에 맞는 피보나치 되돌림 및 확장을 계산하여 그려주는 간단한 로직으로 만들어졌습니다.
그렇기에 해당 지표에서 그려주는 지지/저항을 맹목적으로 믿고 트레이딩에 임하는 것은 권장하지 않습니다.
해당 지표는 지지저항선의 능력을 키우거나 단기 프레임에서 장기 프레임의 지지저항을 참고하는데 사용할 수 있습니다. 예를 들어서 15분 타임프레임에서 4시간 지지/저항을 설정하여 확인할 수 있습니다. 이렇게되면 단기적으로는 하락/상승처럼 보이지만, 비교적 신뢰도가 더 높은 상위 타임프레임의 지지/저항을 확인하여 매매에 참고로 사용할 수 있습니다.
권장 타임 프레임은 1시간 입니다.
너무 금액이 작은 심볼에선 제대로 동작하지 않을 수 있습니다. (ex. 0.005$와 같은 심볼에서는 제대로 작동하지 않음)
