Trend Counter [BigBeluga]The Trend Counter indicator is designed to help traders identify trend conditions and potential reversals by counting the number of bars within a specified period that are above or below an average price level. By smoothing and averaging these counts, the indicator provides a clear visual representation of market trends and highlights key trend changes.
Key Features:
⦾ Trend Counting:
Counts bars above and below average price levels over a specified period.
Smooths and rounds the count for better visualization.
// Count bars over length period above highest and lowest avg with offset loop
float mid = math.avg(ta.highest(length), ta.lowest(length))
for offset = 0 to length -1
switch
hl2 > mid => counter += 1.0
=> counter := 0.0
// Smooth Count and Round
counter := math.round(ta.ema(counter > 400 ? 400 : counter, smooth))
// Count Avg
count.push(counter)
avg = math.round(count.avg())
⦿ Color Indication:
Uses gradient colors to indicate the strength of the trend.
Colors the background based on trend strength for easier interpretation.
⦿ Trend Signals:
Provides visual cues for trend changes based on the counter crossing predefined levels.
⦿ Potential Tops:
Identifies potential market tops using a specified length and highlights these levels.
⦿ Additional Features:
Displays Trend Counter value with arrows to indicate the direction of the trend movement.
Displays average trend count and level for reference.
⦿ User Inputs Description
Length: Defines the period over which the trend counting is performed.
Trend Counter Smooth: Specifies the smoothing period for the trend counter.
Level: Sets the threshold level for trend signals.
Main Color: Determines the primary color for trend indication.
The Trend Counter indicator is a powerful tool for traders seeking to identify and visualize market trends.
By counting and smoothing price bars above and below average levels, it provides clear and intuitive signals for trend strength and potential reversals.
With customizable parameters and visual cues, the Trend Counter enhances trend analysis and decision-making for traders of all levels.
Penunjuk dan strategi
Entropy-Based Adaptive SuperTrendOverview:
Introducing the Entropy-Based Adaptive SuperTrend – a groundbreaking trading indicator designed to adapt dynamically to market conditions using market entropy. This enhanced SuperTrend indicator adjusts its sensitivity according to the level of chaos (or order) in price movements, providing more stable signals during volatile periods and more responsive signals when the market becomes orderly.
Key Features:
Entropy-Adaptive Mechanism: By incorporating an entropy measure, this indicator estimates the degree of unpredictability in the market. During high entropy periods (more chaotic), signals are made less sensitive, while during low entropy periods, the indicator reacts more quickly to price changes.
Adaptive ATR Multiplier: Unlike traditional SuperTrend indicators that use a fixed ATR multiplier, this version calculates a dynamic ATR multiplier based on the entropy score, ensuring more flexibility and adaptability in setting stop levels.
Visual Clarity: The indicator is overlayed on the price chart with customizable visual elements. The bullish and bearish trends are color-coded for ease of use, and optional entry signals ("L" for long and "S" for short) are plotted to clearly mark potential entry opportunities.
Alerts for Key Opportunities : Never miss an opportunity with built-in alerts for buy and sell signals. Traders can easily configure these alerts to be notified instantly when market conditions trigger a new trend.
How It Works:
Entropy Calculation: The entropy of the price data is calculated over a user-defined period, giving an indication of the degree of randomness in the price movements. The result is then smoothed to reduce noise and create a meaningful trend indication.
Dynamic ATR Adjustment: The ATR (Average True Range) multiplier, which controls the distance of the trailing stop, is adjusted based on the entropy score. This allows the SuperTrend line to widen in chaotic times, reducing false signals, while tightening in orderly times, allowing quicker trend captures.
Parameters Explained:
Entropy Settings: Control the sensitivity of entropy calculations, including the look-back period, number of bins for price distribution, and smoothing length.
Adaptive Settings: Adjust how the indicator adapts to different levels of entropy, including the adaptation period and the filtering weight.
SuperTrend Settings : Customize the ATR period and the dynamic multiplier range to fine-tune the trailing stops for your trading style.
Visual Settings: Choose your preferred colors for bullish and bearish trends, and decide if you want the entry labels displayed directly on the chart.
Use Cases:
Swing Traders can utilize the indicator to capture trend reversals while filtering out the noise during high entropy periods.
Intraday Traders can adapt the settings for shorter time frames to benefit from dynamic adjustments that reduce overtrading and false signals.
Risk Management: The entropy-based adaptive feature provides an edge in risk management by reducing sensitivity during times of increased chaos, thus helping to limit unnecessary trades.
How to Use It:
Look for entry labels ("L" for long, "S" for short) to identify potential opportunities.
Use the color-coded trendlines to determine market bias: greenish hue for bullish trends, reddish hue for bearish trends.
Customize the input settings to align with your preferred market timeframe and risk profile.
Alerts & Notifications:
Built-in alerts notify you of significant trend changes. Simply enable these alerts to receive updates when a new long or short opportunity is detected, helping you stay ahead without needing to watch the screen constantly.
Customization Tips:
Longer Timeframes : Increase the Entropy Period to better capture macro trends in high timeframe charts.
Higher Volatility Markets: Increase the ATR Max Multiplier to ensure stops are set farther away during high entropy.
Lower Volatility Markets: Use a lower ATR Base Multiplier and tighter entropy thresholds to capture rapid price movements.
Final Thoughts:
The Entropy-Based Adaptive SuperTrend indicator merges traditional trend-following logic with an adaptive mechanism driven by market entropy, aiming to address the challenges of whipsaws and false signals common in conventional SuperTrend setups. This indicator offers an intelligent and flexible way to track market trends, suitable for both beginners and experienced trade
Engulfing Pattern & Impulse [UAlgo]The Engulfing Pattern & Impulse is a tool designed for technical traders who utilize price action and volume analysis to assess market trends and potential reversals. This indicator identifies two powerful trading signals: Engulfing Patterns and Volume Impulses, which are essential components for evaluating potential bullish or bearish market momentum.
Engulfing Patterns are classic candlestick formations often associated with reversals or trend continuations, depending on the overall trend context. This indicator highlights both bullish and bearish engulfing patterns based on configurable criteria such as trend detection settings, comparison with average body size, and a customizable body multiplier for validation. The Volume Impulse feature signals moments of significant volume compared to historical levels, which often precede substantial price movements. Together, these features provide traders with a versatile tool for better timing entry and exit points.
The indicator also offers an adaptive trend detection system, allowing traders to choose from multiple methods (e.g., SMA50 or SMA50/SMA200 combinations) to assess the trend context, making it ideal for various market conditions.
🔶Key Features
Engulfing Pattern Detection: Identifies bullish and bearish engulfing patterns with customizable parameters, including body length and average size comparison.
Configurable trend basis: Choose between SMA50 or SMA50 with SMA200 to define trend direction.
Body size multiplier: Adjust the size threshold for valid engulfing patterns, providing flexibility based on market conditions.
Volume Impulse Signal: Highlights volume spikes that meet or exceed a specified multiplier, which can indicate increased buying or selling interest.
Customizable volume period and multiplier: Allows you to tailor the volume impulse detection based on the instrument’s average volume behavior.
Trend Detection Options: Select different trend detection methods to suit various trading styles and instruments.
SMA50-based detection: Classifies the trend based on the position of price relative to the 50-period SMA.
SMA50 and SMA200 combination: Incorporates a dual-moving average approach, classifying trends based on the relationship between price, SMA50, and SMA200.
Enhanced Visualization: Distinguishes bullish and bearish signals with customizable colors, providing clear and immediate visual cues for easy interpretation.
Custom label colors: Allows you to set distinct colors for bullish, bearish, and neutral signals for quick identification.
Pattern filtering: Enable or disable specific patterns (Bullish, Bearish, or Both) based on your trading preferences.
🔶 Interpreting Indicator
Bullish Engulfing Pattern: Indicates a potential bullish reversal in a downtrend. This signal occurs when a white candlestick with a body size exceeding a specified multiplier completely engulfs the previous black candlestick. The pattern will display a “BE” label below the candle if it meets the criteria, signaling potential upward momentum.
Bearish Engulfing Pattern: Indicates a potential bearish reversal in an uptrend. A black candlestick with a body size exceeding the specified multiplier fully engulfs the previous white candlestick, signaling possible downward movement. The “BE” label appears above the candle to denote this pattern.
Volume Impulse Up: Displays a “VI” label below the candle when the volume surpasses the defined multiplier, and the price closes higher than it opened, indicating strong upward buying interest.
Volume Impulse Down: Displays a “VI” label above the candle when the volume meets or exceeds the specified threshold, and the price closes lower than it opened, signaling strong selling pressure.
Indicator uses the SMA50 and SMA200 to determine trend direction due to their popularity in technical analysis as indicators of medium- and long-term trends. The SMA50 reflects the average price over the past 50 periods, providing insight into intermediate trends, while the SMA200 is often used to identify the broader trend direction. These SMAs help traders quickly assess whether the market is in an uptrend, downtrend, or consolidation phase, enhancing decision-making for both short-term and long-term strategies.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Advanced Market Analysis [Rogers1906]EMA Line: Calculates a 7-period EMA to track price positioning.
Supply and Demand Zones: Uses a 20-period lookback to identify recent highs (supply) and lows (demand), marking them as critical price levels.
Candle Coloring: Changes candle colors based on overbought/oversold levels from the Stochastic RSI and Williams %R, adjusting to market sentiment.
.
Machine Learning Trendline: A linear regression line acts as a simplified machine learning trend estimator.
Slingshot Momentum Tracker: Identifies momentum shifts using a Rate of Change (ROC) indicator, marking buy/sell points when momentum crosses zero.
Power Root SuperTrend [AlgoAlpha]📈🚀 Power Root SuperTrend by AlgoAlpha - Elevate Your Trading Strategy! 🌟
Introducing the Power Root SuperTrend by AlgoAlpha, an advanced trading indicator that enhances the traditional SuperTrend by incorporating Root-Mean-Square (RMS) calculations for a more responsive and adaptive trend detection. This innovative tool is designed to help traders identify trend directions, potential take-profit levels, and optimize entry and exit points with greater accuracy, making it an excellent addition to your trading arsenal.
Key Features:
🔹 Root-Mean-Square SuperTrend Calculation : Utilizes the RMS of closing prices to create a smoother and more sensitive SuperTrend line that adapts quickly to market changes.
🔸 Multiple Take-Profit Levels : Automatically calculates and plots up to seven take-profit levels (TP1 to TP7) based on market volatility and the change in SuperTrend values.
🟢 Dynamic Trend Coloring : Visually distinguish between bullish and bearish trends with customizable colors for clearer market visualization.
📊 RSI-Based Take-Profit Signals : Incorporates the Relative Strength Index (RSI) of the distance between the price and the SuperTrend line to generate additional take-profit signals.
🔔 Customizable Alerts : Set alerts for trend direction changes, achievement of take-profit levels, and RSI-based take-profit conditions to stay informed without constant chart monitoring.
How to Use:
Add the Indicator : Add the indicator to favorites by pressing the ⭐ icon or search for "Power Root SuperTrend " in the TradingView indicators library and add it to your chart. Adjust parameters such as the ATR multiplier, ATR length, RMS length, and RSI take-profit length to suit your trading style and the specific asset you are analyzing.
Analyze the Chart : Observe the SuperTrend line and the plotted take-profit levels. The color changes indicate trend directions—green for bullish and red for bearish trends.
Set Alerts : Utilize the built-in alert conditions to receive notifications when the trend direction changes, when each TP level is drawn, or when RSI-based take-profit conditions are met.
How It Works:
The Power Root SuperTrend indicator enhances traditional SuperTrend calculations by applying a Root-Mean-Square (RMS) function to the closing prices, resulting in a more responsive trend line that better reflects recent price movements. It calculates the Average True Range (ATR) to determine the volatility and sets the upper and lower SuperTrend bands accordingly. When a trend direction change is detected—signified by the SuperTrend line switching from above to below the price or vice versa—the indicator calculates the change in the SuperTrend value. This change is then used to establish multiple take-profit levels (TP1 to TP7), each representing incremental targets based on market volatility. Additionally, the indicator computes the RSI of the distance between the current price and the SuperTrend line to generate extra take-profit signals when the RSI crosses under a specific threshold. The combination of RMS calculations, multiple TP levels, dynamic coloring, and RSI signals provides traders with a comprehensive tool for identifying trends and optimizing trade exits. Customizable alerts ensure that traders can stay updated on important market developments without needing to constantly watch the charts.
Elevate your trading strategy with the Power Root SuperTrend indicator and gain a smarter edge in the markets! 🚀✨
Fair Value Gap Oscillator | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Fair Value Gap Oscillator (FVG Oscillator) indicator! This unique indicator identifies and tracks Fair Value Gaps (FVGs) in price action, presenting them in an oscillator format to reveal market momentum based on FVG strength. It highlights bullish and bearish FVGs while enabling traders to adjust detection sensitivity and apply volume and ATR-based filters for more precise setups. For more information about the process, check the "📌 HOW DOES IT WORK" section.
Features of the new FVG Oscillator:
Fully Customizable FVG Detection
An Oscillator Approach To FVGs
Divergence Markers For Potential Reversals
Alerts For Divergence Labels
Customizable Styling
📌 HOW DOES IT WORK?
Fair Value Gaps are price gaps within bars that indicate inefficiencies, often filled as the market retraces. The FVG Oscillator scans historical bars to identify these gaps, then filters them based on ATR or volume. Each FVG is marked as bullish or bearish according to the trend direction that preceded its formation.
An oscillator is calculated using recent FVGs with this formula :
1. The Oscillator starts as 0.
2. When a new FVG Appears, it contributes (FVG Width / ATR) to the oscillator of the corresponding type.
3. Each confirmed bar, the oscillator is recalculated as OSC = OSC * (1 - Decay Coefficient)
The oscillator aggregates and decays past FVGs, allowing recent FVG activity to dominate the signal. This approach emphasizes current market momentum, with oscillations moving bullish or bearish based on FVG intensity. Divergences are marked where FVG oscillations suggest potential reversals. Bullish Divergence conditions are as follows :
1. The current candlestick low must be the lowest of last 25 bars.
2. Net Oscillator (Shown in gray line by default) must be > 0.
3. The current Bullish FVG Oscillator value should be no more than 0.1 below the highest value from the last 25 bars.
Traders can use divergence signals to get an idea of potential reversals, and use the Net FVG Oscillator as a trend following marker.
🚩 UNIQUENESS
The Fair Value Gap Oscillator stands out by converting FVG activity into an oscillator format, providing a momentum-based visualization of FVGs that reveals market sentiment dynamically. Unlike traditional indicators that statically mark FVG zones, the oscillator decays older FVGs over time, showing only the most recent, relevant activity. This approach allows for real-time insight into market conditions and potential reversals based on oscillating FVG strength, making it both intuitive and powerful for momentum trading.
Another unique feature is the combination of customizable ATR and volume filters, letting traders adapt the indicator to match their strategy and market type. You can also set-up alerts for bullish & bearish divergences.
⚙️ SETTINGS
1. General Configuration
Decay Coefficient -> The decay coefficient for oscillators. Increasing this setting will result in oscillators giving the weight to recent FVGs, while decreasing it will distribute the weight equally to the past and recent FVGs.
2. Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Style
Divergence Labels On -> You can switch divergence labels to show up on the chart or the oscillator plot.
Linear Regression Channel UltimateKey Features and Benefits
Logarithmic scale option for improved analysis of long-term trends and volatile markets
Activity-based profiling using either touch count or volume data
Customizable channel width and number of profile fills
Adjustable number of most active levels displayed
Highly configurable visual settings for optimal chart readability
Why Logarithmic Scale Matters
The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatility. Unlike linear scales, log scales represent percentage changes consistently across the price range. This allows for:
Better visualization of long-term trends
More accurate comparison of price movements across different price levels
Improved analysis of volatile assets or markets experiencing rapid growth
How It Works
The indicator calculates a linear regression line based on the specified period
Upper and lower channel lines are drawn at a customizable distance from the regression line
The space between the channel lines is divided into a user-defined number of levels
For each level, the indicator tracks either:
- The number of times price touches the level (touch count method)
- The total volume traded when price is at the level (volume method)
The most active levels are highlighted based on this activity data
Understanding Touch Count vs Volume
Touch count method: Useful for identifying key support/resistance levels based on price action alone
Volume method: Provides insight into levels where the most trading activity occurs, potentially indicating stronger support/resistance
Practical Applications
Trend identification and strength assessment
Support and resistance level discovery
Entry and exit point optimization
Volume profile analysis for improved market structure understanding
This Linear Regression Channel indicator combines powerful statistical analysis with flexible visualization options, making it an invaluable tool for traders and analysts across various timeframes and markets. Its unique features, especially the logarithmic scale and activity profiling, provide deeper insights into market behavior and potential turning points.
rixler
The SMC (Smart Money Concepts) indicator is a technical analysis tool used by traders to analyze market structures, trends, and potential reversals based on principles of institutional trading behavior. It is rooted in the idea that large financial institutions, or "smart money," control substantial portions of the market and leave behind patterns that retail traders can follow. Here’s a breakdown of the indicator's primary components and functions
24h volumeDefinition
Volume is the total amount of assets traded in a specific period of time. The 24-hour Volume indicator is used to measure the total volume of a symbol traded in the last 24 hours, expressed as in currency. It can be used to measure the market's interest in a particular symbol.
You can read the full documentation and explanation of how it works on the original indicator's page.
Original (built-in) indicator: www.tradingview.com
This indicator uses the code from the original indicator. Instead of a histogram, it displays the value as text. If the symbol has low 24-hour volume, the text changes color to provide a warning.
Dual price forecast with Projection Zone [FXSMARTLAB]The Dual Price Forecast with Projection Zone indicator is built to simulate potential future price paths based on historical price movements over two defined lookback periods. By running multiple trials (or simulations) on these historical price movements, the indicator achieves a more robust forecast, incorporating the inherent variability of price behavior.
Key Components and Calculation Details
1. Lookback Periods and Historical Price Movements
Lookback Period 1 and Lookback Period 2 specify the range of past data used to generate each projection. For each period, the indicator calculates the price variations (differences between the closing and opening prices) and stores these in arrays.
These historical price variations capture the volatility and price patterns within each period, serving as templates for future price behavior.
2. Trials: Purpose and Function
The trials are a critical element in the projection calculation. Each trial represents a single simulation of possible future price movements, derived from a random reordering of the historical price variations in each lookback period.
By running multiple trials , the indicator explores various sequences of historical movements, simulating different possible future paths. Each trial adds to the projection’s robustness by capturing a unique potential price path based on past behavior.
Running these multiple trials allows the indicator to account for randomness in price behavior, making the projections more comprehensive by covering a range of scenarios rather than relying on a single deterministic forecast.
3. Reverse Option
The reverse option allows the indicator to invert the direction of price movements within each lookback period. When enabled, historical uptrends are treated as downtrends, and vice versa.
This feature is particularly valuable in scenarios where traders expect a potential reversal in market direction. By enabling the reverse option, the indicator can simulate what might happen if past trends inverted, providing an alternative forecast path that considers possible market reversals.
This allows traders to assess both continuation and reversal scenarios, giving them a more balanced view of potential future price paths and helping them prepare for either market direction.
4. Generating the Average Projection Path
Once the trials are complete, the indicator calculates an average projected price path for each lookback period by averaging the results of all trials. This average represents the most likely price trend based on historical data and provides a smoothed projection that mitigates extreme outliers.
By averaging across all trial paths, the indicator generates a more reliable and balanced forecast line, smoothing out the fluctuations that might appear if only one trial or a small number of trials were used.
5. Projection Zone Visualization
The indicator plots the two average projection paths (one for each lookback period) as Projection 1 and Projection 2, each in a user-defined color.
The Projection Zone is the area between these two lines, filled with a semi-transparent color. This zone visually represents the potential range of future price movement, highlighting where prices are likely to oscillate if historical trends persist.
The Projection Zone effectively functions as a potential support and resistance boundary, providing traders with a visual reference for possible price fluctuations within a specific range.
6. Display of Lookback Zones
To give context to the projections, the indicator can also display colored lookback zones on the chart. These zones correspond to Lookback Period 1 and Lookback Period 2 and are color-coded to match their respective projection lines.
These zones allow traders to see the sections of historical data used in the calculation, helping them understand which past price behaviors influenced the current projections.
Benefits of the Indicator
The "Dual Price Forecast with Projection Zone" indicator provides a multi-scenario forecast based on past price dynamics. Its use of trials ensures that projections are not based on a single deterministic path but on a range of possible scenarios that better reflect the inherent randomness in financial markets.
By generating a probabilistic forecast within a defined zone, the indicator helps traders to:
Anticipate potential price ranges and areas of support/resistance based on historical trends.
Understand the influence of different timeframes (short-term and long-term lookbacks) on future price behavior.
Make informed decisions by visualizing the likely variability of future prices within a controlled projection zone.
Prepare for both continuation and reversal scenarios, thanks to the reverse option. This feature is especially useful in markets where trends may change direction, as it allows traders to explore what might happen
Options Series - Technical Analysis Chart➤ Simple Technical Chart Only:
➤ With MA-20 Overlay and Volatility background bars:
➤ With RSI Candles:
⭐ Overview and How It Works:
This script provides a multi-asset analysis tool to assess various market conditions across four symbols simultaneously. It combines several indicators such as daily price change, Moving Averages (MA), Bollinger Bands (BB), Parabolic SAR, RSI, and VWAP to generate buy/sell signals and trend indicators. Its strength lies in the layered use of indicators to enhance signal reliability, making it valuable for traders needing cross-validation in decision-making.
⭐ Key Features and Functionality:
The script evaluates each symbol's price against various indicators and conditions:
Daily Price Conditions: It checks if each symbol’s close price is above or below the previous day’s open, close, and intra-day ranges, forming a foundational bullish/bearish condition.
Range Breakout 1st 5min Candle (ORB): Opening Range Breakout levels are calculated and compared with current close prices, detecting breakout/breakdown conditions.
ORB Body: This basically calculates the previous day Daily candle body size, if todays Daily candle body size is greater than previous day, then we can say that we are having good momentum else its likely to be in-sidebar trading.
Moving Averages (MA): It leverages EMA-20, 2-day, and 3-day exponential moving averages to gauge short to medium-term trends.
RSI and VWAP: Relative Strength Index (RSI) determines overbought or oversold conditions, while VWAP compares prices to volume-weighted levels.
Bollinger Bands and Trend Analysis: Detects volatility and potential breakout conditions.
Concept of ORB Body:
Current_PrevDay_Body = (math.max(var_Current_PrevD_Open, var_Current_PrevD_Close) - math.min(var_Current_PrevD_Open, var_Current_PrevD_Close))
Current_Upper_ORB = var_Current_D_Open + Current_PrevDay_Body
Current_Lower_ORB = var_Current_D_Open - Current_PrevDay_Body
Current_TodayDay_Body = math.max(var_Current_D_Open, var_Current_Close) - math.min(var_Current_D_Open, var_Current_Close)
Current_ORBBody = Current_TodayDay_Body > Current_PrevDay_Body
Current_Upper_ORB_bull = (var_Current_Close > Current_Upper_ORB)
Current_Lower_ORB_bear = (var_Current_Close < Current_Lower_ORB)
🎨 Visualizations and User Experience:
The script can dynamically display colored backgrounds indicating trends when conditions are met. For example, the bgcolor function changes the background when certain trend-based criteria are satisfied, offering visual cues to users. Additionally, the checkbox input toggles trend bar visualizations, enhancing user experience by providing a quick visual reference without needing to interpret individual data points manually.
RSI-Based Candle Coloring:
➤ The script customizes candle colors based on RSI thresholds, specifically defining upper (60) and lower (40) RSI levels. When the RSI value exceeds the upper threshold, candles are colored as bullish (green), and if it falls below the lower threshold, candles are colored as bearish (red). Neutral RSI values result in a default color (gray).
➤ This setup offers a visually intuitive way to identify potential trend directions based on RSI levels, making it ideal for traders looking to gauge momentum visually.
⭐ Settings and Customization:
With multiple user-configurable inputs, the script allows for tailored analysis. Customizable parameters, such as enabling/disabling trend bars and setting various look-back periods for indicators like Bollinger Bands and Moving Averages, make it adaptable to various trading styles and preferences. It also allows users to modify visual elements like colors and styles, improving flexibility.
⭐ Uniqueness of the Concept:
The unique aspect of this script is its multi-symbol approach combined with complex conditions. By comparing not only one but four symbols simultaneously, it provides a broader market view and allows traders to correlate signals across different assets, offering a potential edge for diversified or comparative strategies. Additionally, the incorporation of ORB and multi-timeframe MAs gives it a robustness often lacking in simpler single-symbol scripts.
🚀 Conclusion:
This script is a powerful multi-indicator tool suited for traders looking for a comparative, multi-symbol analysis. With features like ORB, Bollinger Band-based trend detection, and MA cross-verification, it can assist traders in identifying and validating trend signals across assets. The user-friendly visualizations and customizable settings further enhance its usability, making it versatile for various trading strategies and preferences.
Combined Liquidity Weighted Supertrend and Gaussian FilterLWST + Gaussian
합쳤습니다. 로딩이 느려 개량했습니다.
스크립트가 실행되는 데 시간이 오래 걸리는 주요 원인은 반복문을 통한 많은 계산 작업과 복잡한 가중 이동평균 계산이 있기 때문입니다. 특히 피보나치 레벨, 가우시안 계산, 그리고 matrix와 array를 사용한 반복 작업이 많은 연산 비용을 발생시키고 있습니다. 이를 최적화하여 성능을 개선할 수 있습니다.
최적화 가능한 부분:
피보나치 레벨 계산과 반복문 최적화
피보나치 수열 및 가우시안 가중치를 반복적으로 계산하는 부분이 시간이 많이 소요됩니다.
피보나치 수열을 미리 계산하고 저장하여 사용하는 방법으로 반복 작업을 줄일 수 있습니다.
matrix와 array 사용 최적화
현재 코드에서 matrix와 array를 사용하여 많은 양의 데이터를 반복적으로 업데이트하는 부분이 복잡합니다.
matrix 사용을 줄이거나 더 간단한 접근 방식을 사용하는 것이 좋습니다.
MTF(request.security) 호출 횟수 줄이기
request.security() 호출은 고비용 연산이므로 사용 횟수를 줄이는 것이 좋습니다.
필요하지 않은 경우 mtfResolution을 빈 값으로 설정하여 계산을 줄일 수 있습니다.
중복 계산 줄이기
동일한 계산이 여러 곳에서 반복되는 부분이 있습니다. 예를 들어, 가중 이동평균을 여러 번 계산하기보다는 한 번 계산한 값을 재사용할 수 있습니다.
중복되는 부분을 변수로 선언하여 재사용하면 계산 비용을 절약할 수 있습니다.
최적화된 코드 적용:
다음은 반복 계산을 줄이고 복잡한 연산을 최적화한 코드입니다.
1번 편집함
코드를 최적화하여 실행 속도를 개선했습니다. 피보나치와 가우시안 필터 계산을 단순화하고, 반복적인 계산 대신 간단한 이동평균(ta.sma())을 사용하도록 수정했습니다. 이제 더 빠르게 실행될 것입니다.
추가적인 최적화가 필요하시거나 다른 수정이 필요하시면 말씀해주세요!
Turtle Soup MTF💎 GENERAL OVERVIEW
The Turtle Soup (also known generally as Swing Failure Pattern was first published in the book Street Smarts by Laurence A Connors and Linda Raschke. You can learn about it there. It is a great setup for false breakouts trapping both sellers or buyers at an important support or resistance level. This indicator is inspired by the "Swing Failure Pattern" Script published by Lux Algo ->
FEATURES:
Implementation of ICT's Turtle Soup Strategy
Multi-timeframe settings to view turtle soups on different timeframes
Customizable swing point settings
Customizable confirmation lines
Customizable coolours
📌 HOW DOES IT WORK ?
The Indicator's usage is entirely up to the user it can be used in the following manner:
1. Mark higher timerame liquidity zones after its liquidation and rejection.
When a higher timeframe zone is mitigated and price rejects off it, the indicator will print "Turtle Soup". It could potentially mean a reversal point in the markets
2. Swing confirmation line: After a Turtle Soup has been printed, conservative traders can choose to enter a trade when a candle closes above the confirmation line printed in the opposite direction. A close above the confirmation line can most times mean market is willing to go in the opposite direction after a Turtle Soup raid.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator allow traders to see Turtle Soup on different timeframes. It allows traders to easily see higher probability raids.
⚙️SETTINGS
🔹 MTF Settings
When 'Auto' is enabled (Settings, LTF), the LTF will be the nearest possible x times smaller TF than the current TF. When 'Premium' is disabled, the minimum TF will always be 1 minute to ensure TradingView plans lower than Premium don't get an error.
The concerning LTF can be seen at the right-top (default) corner.
🔶 SETTINGS
Swings: Period used for the swing detection, with higher values returning longer-term Swing Levels.
Bullish Turtle Soup: enable/disable bullish Swing Failure Patterns.
Bearish Turtle Soup: enable/disable bearish Swing Failure Patterns.
🔹 Volume Validation
Validation:
Volume outside swing < Threshold: The volume outside the swing level needs to be lower than x % of the total volume.
Volume outside swing > Threshold: The volume outside the swing level needs to be higher than x % of the total volume.
None: No extra validation is applied.
Volume % Threshold: % of total volume as threshold.
Auto + multiple: Adjusts the initial set LTF
LTF: LTF setting
Premium: Enable when your TradingView plan is Premium or higher
🔹 Dashboard
Show Dashboard: Display applied Lower Timeframe (LTF)
Location: Location of the dashboard
Size: Size of the dashboard
🔹 Style
Swing Lines
Confirmation Lines
Swing Failure Wick
Swing Failure Label
Lines / Labels: Color for lines and labels
SFP Wicks: Color for SFP wick line
Zafer V5deneme amaçlı yayındır.
Bu indikatör fiyat alanları , konsolide alanlar ve emir bloklarını-yoğunluklarını gösteren bir indikatördür.
Tek bir çizgi halinde trend yönünü gösteren trend hat çizgisini bunlara ek olarak takip edebilirsiniz.
Hacimli piyasalarda en güvenli işlem yöntemi "price action" diye tabir edilen fiyat odaklı trade yöntemidir.
Bu indikatörün yapılış/derleniş amacı da bu trade yapısına yardımcı olmaktır.
Fiyat alanları ve emir blokları 2-3 bar gecikmeli gözükmektedir. Bu alanların belirlenebilmesi için bu gecikme normaldir.
Hiç bir indikatörün kesinliği
olmadığı gibi bu indikatöründe kesinliği yoktur.
İndikatör bu alanda iyi çalışan indikatörlerin ve kendi yazdığım indikatörlerin derlemesidir.
TechniTrend: Volume and Momentum Analysis (Weighted)Description:
The TechniTrend: Volume and Momentum Analysis indicator combines volume analysis with multiple momentum indicators to provide a holistic view of market conditions. By integrating Weighted Relative Strength Index (RSI), Rate of Change (ROC), and Stochastic Oscillator (%K and %D), this indicator offers a comprehensive, blended signal that responds to both price momentum and volume trends. Ideal for identifying potential reversal zones, overbought/oversold conditions, and divergence patterns.
Features:
Volume and Momentum Analysis:
The core of this indicator is a "Combined Analysis Line" that integrates various momentum indicators, each weighted according to user-defined preferences. This line allows for dynamic responsiveness based on selected weightings for RSI, ROC, and Stochastic, making it highly customizable.
High Volume Area Highlight:
Periods of high trading volume (above the threshold defined by Volume Threshold Factor) are highlighted on the chart's background. This feature aids in identifying volume-driven price actions, especially when combined with overbought/oversold signals from the Combined Analysis Line.
Divergence Detection System:
Regular bullish and bearish divergence patterns are automatically detected and marked on the chart. The indicator uses a pivot-based approach with user-adjustable lookback periods to identify divergence patterns, helping traders spot potential reversal points.
Overbought/Oversold Zones:
The indicator displays overbought and oversold zones with gradient fills based on user-defined thresholds, enhancing visibility and helping to gauge market momentum.
Alert System:
Built-in alerts notify the trader when a regular bullish or bearish divergence is detected. This feature is especially useful for monitoring the market passively and receiving timely alerts for potential trend changes.
Settings:
Volume MA Length: Defines the length of the moving average used to smooth out volume data.
Momentum Length: Length for calculating the momentum indicators (e.g., RSI).
Volume Threshold Factor: Multiplier for determining high-volume levels, setting the bar for significant volume.
Weight Parameters: Assign weight percentages to each momentum indicator for precise calibration of the Combined Analysis Line.
Overbought/Oversold Thresholds: Adjusts the levels at which overbought and oversold conditions are displayed, providing custom sensitivity to market extremes.
Divergence Settings: Adjustable lookback periods for detecting divergence patterns, along with upper and lower ranges, which fine-tune the search for divergence points.
This indicator is highly configurable and offers a nuanced view of market conditions by combining volume and momentum signals. Designed to assist in identifying potential entry and exit points, the TechniTrend: Volume and Momentum Analysis is a powerful tool for both short-term and long-term traders.
Blue Sniper Binary Options Alerts Description:
This script, known as the *Blue Sniper Strategy*, offers a unique trend-following approach designed for precision in entry timing and directional trading confidence. It leverages the 50 and 200 Exponential Moving Averages (EMAs) as a foundational layer to establish directional bias. By integrating advanced configurations of the UT Bot alerts, it pinpoints ideal trade entries aligned with the trend’s momentum.
Underlying Methodology and Concept:
The *Blue Sniper Strategy* is tailored specifically for trending markets where momentum signals are critical. The 50 and 200 EMAs serve as dynamic filters, helping to determine the general trend direction (up or down), which is then reinforced by the UT Bot alert system. This configuration helps traders identify high-probability trades by:
1. **Trend Detection:** The 50 and 200 EMA crossovers and alignment provide the underlying market direction, acting as a reliable trend filter.
2. **Signal Generation:** The UT Bot alert system scans for precise price levels within the established trend to trigger alerts. This enables sharper, timely entries by avoiding periods where prices might be too volatile or consolidative.
Key Features and Benefits:
- Trend-Focused Structure: Optimal for trending markets, filtering out range-bound or highly volatile environments where traditional indicators may underperform.
- Enhanced Versatility: While ideal for Forex pairs in binary options trading, it adapts well to other high-frequency trading types like scalp trading, especially within Forex and other volatile assets.
- High Probability Entries: The combined methodology of trend alignment and price-level alerts is intended to reach a potential 80% win rate, provided market conditions align with the strategy’s parameters.
How to Use the Blue Sniper Strategy:
1. Assess Market Conditions: Before activating alerts, confirm that the asset is in a trending market. This is essential to the strategy’s effectiveness and minimizes false signals.
2. Align with the EMAs: Buy signals are strongest in uptrends where the price holds above both the 50 and 200 EMAs. Sell signals are strongest in downtrends with prices below both EMAs.
3. Follow Alerts with Caution: Each alert suggests an optimal entry but requires an overall trend assessment. The probability of success is considerably higher when market conditions are trending.
Originality and Unique Value:
The *Blue Sniper Strategy* combines trend-based directional bias and fine-tuned alert mechanisms in a cohesive approach, rather than merely merging indicators. This unique structure enhances decision-making by focusing on both trend strength and precision entry levels. The script has been coded from scratch with an emphasis on accessibility for non-programmers, simplifying complex signals into actionable alerts for improved trading outcomes.
Murat MACD-V// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © jamiedubauskas
//@version=5
indicator(title = "Murat MACD-V", shorttitle = "M-MACD-V", overlay = false, timeframe="", timeframe_gaps=true)
// asking for inputs for the parameters of the MACD-V indicator
fast_len = input.int(title = "MACD Fast Length", defval = 10, minval = 1, group = "Indicator Settings")
slow_len = input.int(title = "MACD Slow Length", defval = 30, minval = 1, group = "Indicator Settings")
source = input.source(title = "Source for TF", defval = close, group = "Indicator Settings")
signal_len = input.int(title = "Signal Line Smoothing Length", defval = 8, minval = 1, group = "Indicator Settings")
atr_len = input.int(title = "ATR Length", defval = 25, minval = 1, tooltip = "Used to gauge volatility to standardize MACD. Keep at the same value as the MACD Slow Length parameter for best results", group = "Indicator Settings")
overbought_bounds = input.int(title = "Overbought Bounds", defval = 150, minval = 1, tooltip = "Threshold for MACD Line to cross above to be considered overbought. Original author of MACD-V placed it at 150.")
overbought_belly = input.int(title = "Overbought Belly", defval = 45, minval = 1, tooltip = "Threshold for MACD Line to cross above to be considered overbought. Original author of MACD-V placed it at 50.")
oversold_belly = input.int(title = "Oversold Belly", defval = -45, maxval = -1, tooltip = "Threshold for MACD Line to cross below to be considered oversold. Original author of MACD-V placed it at -50.")
oversold_bounds = input.int(title = "Oversold Bounds", defval = -150, maxval = -1, tooltip = "Threshold for MACD Line to cross below to be considered oversold. Original author of MACD-V placed it at -150.")
// indicator calculation
macd = ((ta.ema(source, fast_len) - ta.ema(source, slow_len)) / ta.atr(atr_len)) * 100
signal = ta.ema(macd, signal_len)
hist = macd - signal
// asking for input for the color of the macd and signal lines
macd_color = input.color(title = "MACD Line", defval = #2962FF, group = "Color Settings")
signal_color = input.color(title = "Signal Line", defval = #ff6f0005, group = "Color Settings")
// getting colors for the histogram
col_grow_above = input(#26A69A, "Above Grow", group="Histogram", inline="Above")
col_fall_above = input(#B2DFDB, "Fall", group="Histogram", inline="Above")
col_grow_below = input(#FFCDD2, "Below Grow", group="Histogram", inline="Below")
col_fall_below = input(#FF5252, "Fall", group="Histogram", inline="Below")
macd_plot = plot(title = "MACD Line", series = macd, color = macd_color)
plot(title = "Signal Line", series = signal, color = signal_color)
plot(hist, title="Histogram", style=plot.style_columns, color=(hist>=0 ? (hist < hist ? col_grow_above : col_fall_above) : (hist < hist ? col_grow_below : col_fall_below)))
// plotting horizontal lines for overbought and oversold bounds
upper_band = plot(overbought_bounds, title = "Overbought Bounds", color = color.new(color.white,68))
upper_belly = plot(overbought_belly, title = "Overbought Belly", color = color.new(#1b7200, 50))
lower_band = plot(oversold_bounds, title = "Oversold Bounds", color = color.new(color.white,68))
lower_belly = plot(oversold_belly, title = "Oversold Belly", color = color.new(#8d0000, 50))
// filling between the lines and the bounds if overbought or oversold
overbought_color = macd > overbought_bounds ? color.new(color.red,30) : na
oversold_color = macd < oversold_bounds ? color.new(color.green,30) : na
fill(macd_plot, upper_band, color = overbought_color, title = "Overbought Fill")
fill(lower_band, macd_plot, color = oversold_color, title = "Oversold Fill")
// extending out the boundaries
extended_upper_band = hline(overbought_bounds, title = "Overbought Bounds Extended", color = color.new(#2e2e2e, 68), linestyle = hline.style_solid)
extended_lower_band = hline(oversold_bounds, title = "Oversold Bounds Extended", color = color.new(#2e2e2e, 68), linestyle = hline.style_solid)
fill(extended_upper_band, extended_lower_band, color = color.new(color.white, 95), title = "Normal Bounds Background Extended")
hline(0, color= color.new(#2e2e2e, 68), linestyle = hline.style_dotted)
Intraday buy and sell indicator for stock and optionsThis powerful intraday trading indicator leverages two key crossovers for buy and sell signals, optimized for stocks and options trading:
EMA9 Crossover: The 9-period Exponential Moving Average (EMA9) responds quickly to price changes, making it ideal for capturing short-term momentum shifts. A bullish signal is generated when the stock price crosses above the EMA9, indicating a potential upward trend, while a bearish signal occurs when the price crosses below, signaling a potential reversal.
VWMA Crossover Confirmation: The Volume-Weighted Moving Average (VWMA) provides further confirmation of trend direction by integrating volume data. When the VWMA aligns with EMA9 (price crosses above both for buy or below for sell), the signals are validated, increasing the probability of a successful trade.
How It Works:
Buy Signal: Generated when the stock price crosses above EMA9 and VWMA in unison, indicating strong bullish momentum.
Sell Signal: Generated when the stock price crosses below EMA9 and VWMA, signaling potential bearish momentum.
This indicator is designed to provide high-quality entry and exit points for intraday trades, filtering out weaker signals and reducing whipsaws. It’s ideal for active traders seeking a strategic edge by combining price action with volume confirmation for higher probability trades.
SAR/EMA/RSI StrategyThis script uses the SAR combined with EMA 200 and RSI to identify potential long/short entry points (and exits).
Advanced Klinger OscillatorAdvanced Klinger Oscillator
The Advanced Klinger Oscillator is an enhanced version of the traditional Klinger Oscillator, which measures the difference between two exponential moving averages (EMAs) of volume flow. This tool helps traders identify momentum shifts and potential trading opportunities.
Key Features:
Dual EMA Calculation: The oscillator calculates the difference between a short-term and a long-term EMA of volume flow, smoothing out price fluctuations for clearer trend analysis.
Signal Line: A signal line, which is an EMA of the Klinger Oscillator, generates buy and sell signals. A crossover above the signal line indicates a potential buy, while a crossover below suggests a sell.
Volume Confirmation: Signals are only generated when trading volume exceeds a specified threshold, ensuring that price movements are supported by sufficient market activity.
Trend Lines: Upper and lower trend lines are plotted above the oscillator, helping traders visualize momentum strength and identify bullish or bearish trends.
Background Color Coding: The indicator uses color changes in the background to indicate positive (green) and negative (red) momentum, allowing for quick assessment of market conditions.
Usage:
Traders can utilize the Advanced Klinger Oscillator to:
Identify entry and exit points based on oscillator and signal line crossovers.
Confirm trends by observing the relationship between the oscillator and its trend lines.
Make informed trading decisions by considering volume alongside price movements.
The Advanced Klinger Oscillator is a valuable addition to any trader's toolkit, combining price momentum, volume analysis, and visual cues for effective trading strategies.
Smart Ribbon V2 [FXSMARTLAB]The Smart Ribbon V2 indicator is designed to analyze market trends and momentum by plotting a series of moving averages with varying periods, all within a single overlay on the price chart. This approach creates a "ribbon" effect, enabling traders to visualize trend strength, reversals, and potential entry or exit points. The indicator provides flexibility through different moving average types, including some advanced ones like QUEMA (Quadruple Exponential Moving Average) and QuintEMA (Quintuple Exponential Moving Average). Each moving average is color-coded to indicate trend direction and momentum, making it visually intuitive and effective for quick decision-making in trend-following strategies.
The Smart Ribbon V2 helps traders:
Identify Trend Direction
Gauge Momentum
Spot Trend Reversals
Determine Entry and Exit Points
Detailed Explanation of QUEMA and QuintEMA
The QUEMA (Quadruple Exponential Moving Average) and QuintEMA (Quintuple Exponential Moving Average) are advanced smoothing techniques that build on traditional exponential moving averages (EMAs). Both offer higher sensitivity to recent price changes than standard EMAs by adding layers of exponential smoothing. These moving averages are particularly useful for traders looking for a more responsive indicator without the noise often present in shorter-period EMAs.
QUEMA (Quadruple Exponential Moving Average)
The QUEMA is calculated by applying the EMA calculation four times in succession. This method smooths out fluctuations in the price data, creating a balance between sensitivity to recent data and resistance to short-term noise.
The mathematical formula for QUEMA is:
QUEMA=4×EMA1−6×EMA2+4×EMA3−EMA4
This formula results in a moving average that is smoother than a triple EMA (TEMA) and provides a better response to price trends without excessive lag.
QuintEMA (Quintuple Exponential Moving Average)
The QuintEMA goes one step further by applying the EMA calculation five times in a row. This level of exponential smoothing is useful for identifying strong, persistent trends while remaining adaptive to recent price shifts.
The QuintEMA is calculated as :
QuintEMA=5×EMA1−10×EMA2+10×EMA3−5×EMA4+EMA5
The additional layer in QuintEMA further reduces the impact of short-term price fluctuations, making it especially useful in strongly trending markets.
The Smart Ribbon V2 combines the benefits of several moving average types to deliver a versatile tool for analyzing market trends, momentum, and potential reversals. With QUEMA and QuintEMA as advanced options, it allows traders to tailor the indicator to match their preferred trading style, whether it involves higher responsiveness or smoother trend visualization. This adaptability makes Smart Ribbon V2 a powerful choice for both novice and experienced traders seeking to improve their trend-following and market analysis strategies.
This is my first published indicator! If you like it, leave a comment, like, subscribe, or show your support. Based on your feedback and appreciation, I'll be happy to release more of my personal indicators in the future.
TradeTrend with EMAHow It Works:?
The TrendTrade with EMA indicator analyzes the relationship between the current price and Exponential Moving Averages (EMAs) over different timeframes.
-- It checks if the price is above or below the hourly and 15-minute EMAs to identify potential bullish or bearish reversals.
-- When specific conditions are met, the indicator triggers background alerts on the chart.
-- This helps you spot trends and make informed trading decisions in real time.
Perfect for day traders!
Use this tool to enhance your trading and stay ahead in the market.
